From 961b69ec24c99c293516b58ce313f13710e9bfea Mon Sep 17 00:00:00 2001 From: Roman Wicky Date: Tue, 9 Mar 2021 20:04:03 -0500 Subject: [PATCH 01/57] file setup --- .idea/.gitignore | 8 ++++++++ .idea/final.iml | 12 ++++++++++++ .idea/modules.xml | 8 ++++++++ .idea/vcs.xml | 6 ++++++ backend.js | 3 +++ index.html | 12 ++++++++++++ 6 files changed, 49 insertions(+) create mode 100644 .idea/.gitignore create mode 100644 .idea/final.iml create mode 100644 .idea/modules.xml create mode 100644 .idea/vcs.xml create mode 100644 backend.js create mode 100644 index.html diff --git a/.idea/.gitignore b/.idea/.gitignore new file mode 100644 index 00000000..a5bfab71 --- /dev/null +++ b/.idea/.gitignore @@ -0,0 +1,8 @@ +# Default ignored files +/shelf/ +/workspace.xml +# Datasource local storage ignored files +/../../../../../../../../:\Users\rwick\Desktop\Dev\biovis\final\.idea/dataSources/ +/dataSources.local.xml +# Editor-based HTTP Client requests +/httpRequests/ diff --git a/.idea/final.iml b/.idea/final.iml new file mode 100644 index 00000000..0c8867d7 --- /dev/null +++ b/.idea/final.iml @@ -0,0 +1,12 @@ + + + + + + + + + + + + \ No newline at end of file diff --git a/.idea/modules.xml b/.idea/modules.xml new file mode 100644 index 00000000..2504908a --- /dev/null +++ b/.idea/modules.xml @@ -0,0 +1,8 @@ + + + + + + + + \ No newline at end of file diff --git a/.idea/vcs.xml b/.idea/vcs.xml new file mode 100644 index 00000000..94a25f7f --- /dev/null +++ b/.idea/vcs.xml @@ -0,0 +1,6 @@ + + + + + + \ No newline at end of file diff --git a/backend.js b/backend.js new file mode 100644 index 00000000..5d77934d --- /dev/null +++ b/backend.js @@ -0,0 +1,3 @@ +function main(){ + +} \ No newline at end of file diff --git a/index.html b/index.html new file mode 100644 index 00000000..01ed3e02 --- /dev/null +++ b/index.html @@ -0,0 +1,12 @@ + + + + + + + Title + + + + + \ No newline at end of file From bd4a8cf06d08dce4c6cafb97f3f328dd7201d4eb Mon Sep 17 00:00:00 2001 From: Roman Wicky Date: Tue, 9 Mar 2021 21:28:51 -0500 Subject: [PATCH 02/57] csv files --- csv/Book1.csv~ | 36 ++++++++++++++++++++++++++++++++++++ csv/datamilitary.csv | 6 ++++++ csv/socialSpending.csv | 6 ++++++ 3 files changed, 48 insertions(+) create mode 100644 csv/Book1.csv~ create mode 100644 csv/datamilitary.csv create mode 100644 csv/socialSpending.csv diff --git a/csv/Book1.csv~ b/csv/Book1.csv~ new file mode 100644 index 00000000..07a19cbb --- /dev/null +++ b/csv/Book1.csv~ @@ -0,0 +1,36 @@ +Country,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017,2018,2019 +Canada,4.3%,4.2%,4.0%,3.6%,3.5%,3.4%,3.4%,3.2%,3.0%,2.8%,2.8%,2.9%,2.7%,2.8%,2.8%,2.8%,2.8%,2.9%,2.9%,3.1%,3.2%,3.2%,2.8%,2.9%,2.7%,2.5%,2.6%,2.9%,2.9%,3.4%,3.3%,3.2% +USA,,,,,,,,,,,,,,9.6%,10.3%,11.3%,12.0%,12.1%,12.0%,11.8%,12.0%,11.8%,12.3%,12.4%,12.0%,11.3%,10.4%,9.9%,9.6%,9.4%,9.4%,9.4% +Colombia,10.9%,8.9%,9.1%,9.0%,9.7%,10.8%,10.2%,10.7%,14.8%,9.0%,10.9%,11.1%,11.5%,12.1%,12.2%,12.4%,13.1%,13.0%,11.6%,11.7%,13.9%,13.1%,12.4%,10.7%,11.2%,11.3%,10.6%,10.5%,11.1%,11.4%,10.9%,11.0% +Paraguay,34.8%,21.7%,23.0%,25.1%,18.4%,17.1%,14.0%,14.3%,12.0%,9.2%,8.1%,6.7%,6.3%,5.6%,5.4%,5.1%,5.6%,4.9%,5.2%,5.3%,5.3%,5.0%,5.1%,5.3%,5.2%,5.5%,5.5%,5.2%,4.9%,4.6%,4.9%,5.3% +Peru,,,,,,,,,,,,,8.3%,8.5%,7.9%,7.6%,7.1%,8.0%,7.7%,7.0%,6.3%,7.1%,7.0%,7.0%,7.3%,7.6%,7.0%,7.7%,6.2%,5.9%,5.5%,5.4% +Uruguay,,,,,,,,,,,,8.1%,8.4%,8.2%,8.4%,7.4%,7.0%,7.0%,6.9%,6.1%,6.5%,6.1%,6.3%,6.0%,6.0%,5.8%,5.7%,5.9%,5.8%,6.0%,6.4%,6.0% +China,,13.4%,14.0%,14.5%,17.1%,15.1%,14.4%,15.4%,15.3%,14.5%,13.4%,12.9%,11.7%,11.98%,11.87%,11.63%,11.58%,10.98%,10.96%,10.54%,8.38%,8.09%,7.64%,6.79%,6.55%,6.54%,6.58%,6.1%,6.0%,5.9%,5.6%,5.4% +Japan,3.0%,3.1%,3.1%,3.1%,3.0%,2.8%,2.8%,2.7%,2.6%,2.7%,2.4%,2.6%,2.5%,2.6%,2.6%,2.6%,2.7%,2.7%,2.7%,2.6%,2.6%,2.5%,2.5%,2.5%,2.5%,2.4%,2.5%,2.5%,2.5%,2.5%,2.5%,2.5% +South Korea,,,,,,,,20.3%,18.5%,18.2%,16.4%,14.5%,14.4%,13.5%,13.7%,12.2%,11.7%,12.6%,12.3%,12.1%,12.5%,12.8%,13.2%,13.0%,12.7%,12.6%,12.8%,12.6%,12.6%,12.3%,12.2%,12.1% +India,14.8%,13.6%,12.4%,10.9%,10.3%,11.0%,10.3%,10.5%,10.3%,10.7%,10.7%,11.6%,11.5%,10.5%,9.9%,9.1%,10.1%,10.4%,9.5%,8.9%,8.9%,10.3%,9.9%,9.6%,9.3%,9.3%,9.5%,8.8%,9.1%,9.2%,9.1%,8.8% +Russia,,,,,,,,,,,6.9%,9.0%,10.8%,11.3%,11.1%,11.3%,11.2%,11.3%,11.2%,9.8%,9.9%,10.2%,10.1%,10.3%,10.8%,11.1%,11.8%,13.8%,14.8%,12.1%,11.4%,11.4% +Greece,10.8%,9.4%,8.6%,8.6%,8.6%,8.1%,8.4%,6.6%,7.0%,7.3%,7.4%,7.3%,7.5%,7.1%,6.7%,5.4%,5.5%,6.2%,6.2%,5.7%,5.9%,6.0%,5.2%,4.6%,4.6%,4.6%,4.6%,4.8%,5.2%,5.3%,5.7%,5.4% +Switzerland,5.4%,5.4%,5.6%,5.1%,4.8%,4.1%,4.0%,4.1%,3.8%,3.6%,3.6%,3.2%,3.2%,3.1%,2.8%,2.7%,2.6%,2.6%,2.5%,2.5%,2.4%,2.3%,2.2%,2.2%,2.1%,2.2%,2.0%,2.0%,2.1%,2.1%,2.0%,2.2% +UK,10.2%,9.9%,9.4%,9.5%,8.5%,7.9%,7.5%,6.8%,6.9%,6.6%,6.6%,6.5%,6.3%,6.3%,6.3%,6.2%,6.0%,5.7%,5.6%,5.6%,5.6%,5.5%,5.3%,5.3%,5.1%,5.0%,4.8%,4.7%,4.7%,4.6%,4.6%,4.5% +Iran,,,14.5%,12.5%,9.9%,5.1%,7.6%,8.5%,10.6%,11.9%,12.9%,12.6%,14.0%,14.5%,10.9%,12.1%,15.2%,14.1%,14.2%,14.0%,12.6%,15.3%,15.2%,13.0%,19.3%,15.6%,14.8%,15.4%,15.2%,16.0%,13.5%,13.3% +Iraq,,,,,,,,,,,,,,,,,1.8%,3.5%,3.8%,4.9%,4.1%,4.9%,5.5%,5.3%,4.4%,6.9%,6.7%,12.5%,8.4%,11.0%,8.8%,7.8% +Israel,,,,,,,,,,,,,13.3%,13.2%,12.8%,13.8%,14.4%,14.3%,14.1%,15.4%,15.2%,14.6%,14.7%,14.6%,14.1%,13.8%,14.8%,14.6%,14.5%,14.3%,13.5%,13.2% +Jordan,21.0%,21.2%,17.5%,22.1%,19.2%,18.9%,18.7%,12.3%,16.3%,17.7%,17.5%,18.6%,18.3%,17.8%,15.9%,16.1%,13.6%,12.3%,12.8%,16.0%,17.7%,18.5%,17.9%,15.2%,12.6%,12.5%,11.8%,12.8%,15.6%,16.2%,15.0%,15.2% +Kuwait,,,52.6%,57.5%,35.0%,20.3%,22.7%,24.9%,23.1%,18.5%,16.9%,16.9%,19.6%,17.9%,17.7%,17.7%,17.0%,15.4%,11.1%,11.9%,7.4%,9.4%,8.4%,9.0%,8.8%,8.6%,8.1%,9.2%,11.0%,10.9%,10.4%,10.5% +,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, diff --git a/csv/datamilitary.csv b/csv/datamilitary.csv new file mode 100644 index 00000000..3a7d7790 --- /dev/null +++ b/csv/datamilitary.csv @@ -0,0 +1,6 @@ +Country,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017,2018,2019 +USA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,9.6,10.3,11.3,12.0,12.1,12.0,11.8,12.0,11.8,12.3,12.4,12.0,11.3,10.4,9.9,9.6,9.4,9.4,9.4 +Japan,3.0,3.1,3.1,3.1,3.0,2.8,2.8,2.7,2.6,2.7,2.4,2.6,2.5,2.6,2.6,2.6,2.7,2.7,2.7,2.6,2.6,2.5,2.5,2.5,2.5,2.4,2.5,2.5,2.5,2.5,2.5,2.5 +France,5.9,5.8,5.6,5.5,5.1,4.9,4.9,4.6,4.4,4.4,4.2,4.2,4.0,3.9,3.9,3.9,4.0,3.8,3.7,3.6,3.6,3.7,3.5,3.4,3.3,3.2,3.3,3.3,3.4,3.4,3.3,3.3 +Italy,4.0,3.8,3.3,3.2,3.0,3.0,3.0,2.8,3.1,3.3,3.4,3.6,3.7,3.5,3.6,3.6,3.6,3.4,3.2,3.1,3.2,3.0,3.0,3.0,2.8,2.8,2.5,2.4,2.7,2.8,2.8,2.8 +Switzerland,5.4,5.4,5.6,5.1,4.8,4.1,4.0,4.1,3.8,3.6,3.6,3.2,3.2,3.1,2.8,2.7,2.6,2.6,2.5,2.5,2.4,2.3,2.2,2.2,2.1,2.2,2.0,2.0,2.1,2.1,2.0,2.2 diff --git a/csv/socialSpending.csv b/csv/socialSpending.csv new file mode 100644 index 00000000..2b71b989 --- /dev/null +++ b/csv/socialSpending.csv @@ -0,0 +1,6 @@ +Country,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017,2018,2019 +France,24.4,25,25.8,27.2,27.2,28.5,28.8,28.6,28.9,28.8,27.7,27.7,28.4,28.8,28.9,28.8,28.4,28.3,28.5,31,31.1,30.8,31.2,31.7,32,31.8,31.8,31.5,31.1,31 +Italy,20.6,21,21.7,22,22,21.1,21.5,22.2,22.3,22.7,22.6,22.8,23.3,23.6,23.9,24.1,24.2,24.1,25,27,27,26.6,27.3,27.9,28.2,28.3,27.9,27.6,27.8,28.2 +Japan,10.9,11,11.6,12.4,12.9,13.2,13.2,13.6,14.3,15.1,15.4,16.1,16.4,16.6,16.8,17.1,17.2,17.6,18.6,20.8,21.2,22.2,22.1,22.1,21.8,22.2,22.3,22.3,, +Switzerland,13,13.8,15.2,16.6,16.6,14.8,15.1,15.5,15.5,15.3,14.5,14.8,15.8,16.4,16.3,16.1,15.4,14.8,14.5,16,15.7,15.6,15.9,16.2,16.1,16.6,16.8,17,16.7, +United States,13.2,14.2,14.8,15.1,15.1,14.9,14.7,14.3,14.4,14.1,14.1,14.7,15.5,15.8,15.7,15.5,15.5,15.7,16.3,18.4,19.1,18.8,18.5,18.5,18.5,18.5,18.6,18.4,18.2,18.7 \ No newline at end of file From 81a51e9ec0936f99ddf607efae9c198084a41ca5 Mon Sep 17 00:00:00 2001 From: Roman Wicky Date: Tue, 9 Mar 2021 21:30:15 -0500 Subject: [PATCH 03/57] csv files --- csv/socialSpending.csv | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/csv/socialSpending.csv b/csv/socialSpending.csv index 2b71b989..b5847baa 100644 --- a/csv/socialSpending.csv +++ b/csv/socialSpending.csv @@ -1,6 +1,6 @@ Country,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017,2018,2019 France,24.4,25,25.8,27.2,27.2,28.5,28.8,28.6,28.9,28.8,27.7,27.7,28.4,28.8,28.9,28.8,28.4,28.3,28.5,31,31.1,30.8,31.2,31.7,32,31.8,31.8,31.5,31.1,31 Italy,20.6,21,21.7,22,22,21.1,21.5,22.2,22.3,22.7,22.6,22.8,23.3,23.6,23.9,24.1,24.2,24.1,25,27,27,26.6,27.3,27.9,28.2,28.3,27.9,27.6,27.8,28.2 -Japan,10.9,11,11.6,12.4,12.9,13.2,13.2,13.6,14.3,15.1,15.4,16.1,16.4,16.6,16.8,17.1,17.2,17.6,18.6,20.8,21.2,22.2,22.1,22.1,21.8,22.2,22.3,22.3,, -Switzerland,13,13.8,15.2,16.6,16.6,14.8,15.1,15.5,15.5,15.3,14.5,14.8,15.8,16.4,16.3,16.1,15.4,14.8,14.5,16,15.7,15.6,15.9,16.2,16.1,16.6,16.8,17,16.7, +Japan,10.9,11,11.6,12.4,12.9,13.2,13.2,13.6,14.3,15.1,15.4,16.1,16.4,16.6,16.8,17.1,17.2,17.6,18.6,20.8,21.2,22.2,22.1,22.1,21.8,22.2,22.3,22.3,NA,NA +Switzerland,13,13.8,15.2,16.6,16.6,14.8,15.1,15.5,15.5,15.3,14.5,14.8,15.8,16.4,16.3,16.1,15.4,14.8,14.5,16,15.7,15.6,15.9,16.2,16.1,16.6,16.8,17,16.7,NA United States,13.2,14.2,14.8,15.1,15.1,14.9,14.7,14.3,14.4,14.1,14.1,14.7,15.5,15.8,15.7,15.5,15.5,15.7,16.3,18.4,19.1,18.8,18.5,18.5,18.5,18.5,18.6,18.4,18.2,18.7 \ No newline at end of file From 5156779c1ef58ff0748d411820fb9f3a710f0b6b Mon Sep 17 00:00:00 2001 From: mollywirtz Date: Wed, 10 Mar 2021 17:38:30 -0500 Subject: [PATCH 04/57] scatters for military + social (line pending) --- index.html | 168 ++++++++- json/militaryJson.js | 839 +++++++++++++++++++++++++++++++++++++++++++ json/socialJson.js | 796 ++++++++++++++++++++++++++++++++++++++++ 3 files changed, 1802 insertions(+), 1 deletion(-) create mode 100644 json/militaryJson.js create mode 100644 json/socialJson.js diff --git a/index.html b/index.html index 01ed3e02..41843203 100644 --- a/index.html +++ b/index.html @@ -4,9 +4,175 @@ + + Title - +
+
+ + \ No newline at end of file diff --git a/json/militaryJson.js b/json/militaryJson.js new file mode 100644 index 00000000..717ec5d5 --- /dev/null +++ b/json/militaryJson.js @@ -0,0 +1,839 @@ + +let militaryData = [ + + // { + // "year": "1988", + // "data": "NA", + // "country": "United States" + // }, + // { + // "year": "1989", + // "data": "NA", + // "country": "United States" + // }, + // { + // "year": "1990", + // "data": "NA", + // "country": "United States" + // }, + // { + // "year": "1991", + // "data": "NA", + // "country": "United States" + // }, + // { + // "year": "1992", + // "data": "NA", + // "country": "United States" + // }, + // { + // "year": "1993", + // "data": "NA", + // "country": "United States" + // }, + // { + // "year": "1994", + // "data": "NA", + // "country": "United States" + // }, + // { + // "year": "1995", + // "data": "NA", + // "country": "United States" + // }, + // { + // "year": "1996", + // "data": "NA", + // "country": "United States" + // }, + // { + // "year": "1997", + // "data": "NA", + // "country": "United States" + // }, + // { + // "year": "1998", + // "data": "NA", + // "country": "United States" + // }, + // { + // "year": "1999", + // "data": "NA", + // "country": "United States" + // }, + // { + // "year": "2000", + // "data": "NA", + // "country": "United States" + // }, + { + "year": "2001", + "data": 9.6, + "country": "United States" + }, + { + "year": "2002", + "data": 10.3, + "country": "United States" + }, + { + "year": "2003", + "data": 11.3, + "country": "United States" + }, + { + "year": "2004", + "data": 12.0, + "country": "United States" + }, + { + "year": "2005", + "data": 12.1, + "country": "United States" + }, + { + "year": "2006", + "data": 12.0, + "country": "United States" + }, + { + "year": "2007", + "data": 11.8, + "country": "United States" + }, + { + "year": "2008", + "data": 12.0, + "country": "United States" + }, + { + "year": "2009", + "data": 11.8, + "country": "United States" + }, + { + "year": "2010", + "data": 12.3, + "country": "United States" + }, + { + "year": "2011", + "data": 12.4, + "country": "United States" + }, + { + "year": "2012", + "data": 12.0, + "country": "United States" + }, + { + "year": "2013", + "data": 11.3, + "country": "United States" + }, + { + "year": "2014", + "data": 10.4, + "country": "United States" + }, + { + "year": "2015", + "data": 9.9, + "country": "United States" + }, + { + "year": "2016", + "data": 9.6, + "country": "United States" + }, + { + "year": "2017", + "data": 9.4, + "country": "United States" + }, + { + "year": "2018", + "data": 9.4, + "country": "United States" + }, + { + "year": "2019", + "data": 9.4, + "country": "United States" + }, + + + + { + "year": "1988", + "data": 3.0, + "country": "Japan" + }, + { + "year": "1989", + "data": 3.1, + "country": "Japan" + }, + { + "year": "1990", + "data": 3.1, + "country": "Japan" + }, + { + "year": "1991", + "data": 3.1, + "country": "Japan" + }, + { + "year": "1992", + "data": 3.0, + "country": "Japan" + }, + { + "year": "1993", + "data": 2.8, + "country": "Japan" + }, + { + "year": "1994", + "data": 2.8, + "country": "Japan" + }, + { + "year": "1995", + "data": 2.7, + "country": "Japan" + }, + { + "year": "1996", + "data": 2.6, + "country": "Japan" + }, + { + "year": "1997", + "data": 2.7, + "country": "Japan" + }, + { + "year": "1998", + "data": 2.4, + "country": "Japan" + }, + { + "year": "1999", + "data": 2.6, + "country": "Japan" + }, + { + "year": "2000", + "data": 2.5, + "country": "Japan" + }, + { + "year": "2001", + "data": 2.6, + "country": "Japan" + }, + { + "year": "2002", + "data": 2.6, + "country": "Japan" + }, + { + "year": "2003", + "data": 2.6, + "country": "Japan" + }, + { + "year": "2004", + "data": 2.7, + "country": "Japan" + }, + { + "year": "2005", + "data": 2.7, + "country": "Japan" + }, + { + "year": "2006", + "data": 2.7, + "country": "Japan" + }, + { + "year": "2007", + "data": 2.6, + "country": "Japan" + }, + { + "year": "2008", + "data": 2.6, + "country": "Japan" + }, + { + "year": "2009", + "data": 2.5, + "country": "Japan" + }, + { + "year": "2010", + "data": 2.5, + "country": "Japan" + }, + { + "year": "2011", + "data": 2.5, + "country": "Japan" + }, + { + "year": "2012", + "data": 2.5, + "country": "Japan" + }, + { + "year": "2013", + "data": 2.4, + "country": "Japan" + }, + { + "year": "2014", + "data": 2.5, + "country": "Japan" + }, + { + "year": "2015", + "data": 2.5, + "country": "Japan" + }, + { + "year": "2016", + "data": 2.5, + "country": "Japan" + }, + { + "year": "2017", + "data": 2.5, + "country": "Japan" + }, + { + "year": "2018", + "data": 2.5, + "country": "Japan" + }, + { + "year": "2019", + "data": 2.5, + "country": "Japan" + }, + + + + + + + + { + "year": "1988", + "data": 5.9, + "country": "France" + }, + { + "year": "1989", + "data": 5.8, + "country": "France" + }, + { + "year": "1990", + "data": 5.6, + "country": "France" + }, + { + "year": "1991", + "data": 5.5, + "country": "France" + }, + { + "year": "1992", + "data": 5.1, + "country": "France" + }, + { + "year": "1993", + "data": 4.9, + "country": "France" + }, + { + "year": "1994", + "data": 4.9, + "country": "France" + }, + { + "year": "1995", + "data": 4.6, + "country": "France" + }, + { + "year": "1996", + "data": 4.4, + "country": "France" + }, + { + "year": "1997", + "data": 4.4, + "country": "France" + }, + { + "year": "1998", + "data": 4.2, + "country": "France" + }, + { + "year": "1999", + "data": 4.2, + "country": "France" + }, + { + "year": "2000", + "data": 4.0, + "country": "France" + }, + { + "year": "2001", + "data": 3.9, + "country": "France" + }, + { + "year": "2002", + "data": 3.9, + "country": "France" + }, + { + "year": "2003", + "data": 3.9, + "country": "France" + }, + { + "year": "2004", + "data": 4.0, + "country": "France" + }, + { + "year": "2005", + "data": 3.8, + "country": "France" + }, + { + "year": "2006", + "data": 3.7, + "country": "France" + }, + { + "year": "2007", + "data": 3.6, + "country": "France" + }, + { + "year": "2008", + "data": 3.6, + "country": "France" + }, + { + "year": "2009", + "data": 3.7, + "country": "France" + }, + { + "year": "2010", + "data": 3.5, + "country": "France" + }, + { + "year": "2011", + "data": 3.4, + "country": "France" + }, + { + "year": "2012", + "data": 3.3, + "country": "France" + }, + { + "year": "2013", + "data": 3.2, + "country": "France" + }, + { + "year": "2014", + "data": 3.3, + "country": "France" + }, + { + "year": "2015", + "data": 3.3, + "country": "France" + }, + { + "year": "2016", + "data": 3.4, + "country": "France" + }, + { + "year": "2017", + "data": 3.4, + "country": "France" + }, + { + "year": "2018", + "data": 3.3, + "country": "France" + }, + { + "year": "2019", + "data": 3.3, + "country": "France" + }, + + + + + + + + + { + "year": "1998", + "data": 4.0, + "country": "Italy" + }, + { + "year": "1989", + "data": 3.8, + "country": "Italy" + }, + { + "year": "1990", + "data": 3.3, + "country": "Italy" + }, + { + "year": "1991", + "data": 3.2, + "country": "Italy" + }, + { + "year": "1992", + "data": 3.0, + "country": "Italy" + }, + { + "year": "1993", + "data": 3.0, + "country": "Italy" + }, + { + "year": "1994", + "data": 3.0, + "country": "Italy" + }, + { + "year": "1995", + "data": 2.8, + "country": "Italy" + }, + { + "year": "1996", + "data": 3.1, + "country": "Italy" + }, + { + "year": "1997", + "data": 3.3, + "country": "Italy" + }, + { + "year": "1998", + "data": 3.4, + "country": "Italy" + }, + { + "year": "1999", + "data": 3.6, + "country": "Italy" + }, + { + "year": "2000", + "data": 3.7, + "country": "Italy" + }, + { + "year": "2001", + "data": 3.5, + "country": "Italy" + }, + { + "year": "2002", + "data": 3.6, + "country": "Italy" + }, + { + "year": "2003", + "data": 3.6, + "country": "Italy" + }, + { + "year": "2004", + "data": 3.6, + "country": "Italy" + }, + { + "year": "2005", + "data": 3.4, + "country": "Italy" + }, + { + "year": "2006", + "data": 3.2, + "country": "Italy" + }, + { + "year": "2007", + "data": 3.1, + "country": "Italy" + }, + { + "year": "2008", + "data": 3.2, + "country": "Italy" + }, + { + "year": "2009", + "data": 3.0, + "country": "Italy" + }, + { + "year": "2010", + "data": 3.0, + "country": "Italy" + }, + { + "year": "2011", + "data": 3.0, + "country": "Italy" + }, + { + "year": "2012", + "data": 2.8, + "country": "Italy" + }, + { + "year": "2013", + "data": 2.8, + "country": "Italy" + }, + { + "year": "2014", + "data": 2.5, + "country": "Italy" + }, + { + "year": "2015", + "data": 2.4, + "country": "Italy" + }, + { + "year": "2016", + "data": 2.7, + "country": "Italy" + }, + { + "year": "2017", + "data": 2.8, + "country": "Italy" + }, + { + "year": "2018", + "data": 2.8, + "country": "Italy" + }, + { + "year": "2019", + "data": 2.8, + "country": "Italy" + }, + + + + + + + { + "year": "1988", + "data": 5.4, + "country": "Switzerland" + }, + { + "year": "1989", + "data": 5.4, + "country": "Switzerland" + }, + { + "year": "1990", + "data": 5.6, + "country": "Switzerland" + }, + { + "year": "1991", + "data": 5.1, + "country": "Switzerland" + }, + { + "year": "1992", + "data": 4.8, + "country": "Switzerland" + }, + { + "year": "1993", + "data": 4.1, + "country": "Switzerland" + }, + { + "year": "1994", + "data": 4.0, + "country": "Switzerland" + }, + { + "year": "1995", + "data": 4.1, + "country": "Switzerland" + }, + { + "year": "1996", + "data": 3.8, + "country": "Switzerland" + }, + { + "year": "1997", + "data": 3.6, + "country": "Switzerland" + }, + { + "year": "1998", + "data": 3.6, + "country": "Switzerland" + }, + { + "year": "1999", + "data":3.2 , + "country": "Switzerland" + }, + { + "year": "2000", + "data": 3.2, + "country": "Switzerland" + }, + { + "year": "2001", + "data": 3.1, + "country": "Switzerland" + }, + { + "year": "2002", + "data": 2.8, + "country": "Switzerland" + }, + { + "year": "2003", + "data": 2.7, + "country": "Switzerland" + }, + { + "year": "2004", + "data": 2.6, + "country": "Switzerland" + }, + { + "year": "2005", + "data": 2.6, + "country": "Switzerland" + }, + { + "year": "2006", + "data": 2.5, + "country": "Switzerland" + }, + { + "year": "2007", + "data": 2.5, + "country": "Switzerland" + }, + { + "year": "2008", + "data": 2.4, + "country": "Switzerland" + }, + { + "year": "2009", + "data": 2.3, + "country": "Switzerland" + }, + { + "year": "2010", + "data": 2.2, + "country": "Switzerland" + }, + { + "year": "2011", + "data": 2.2, + "country": "Switzerland" + }, + { + "year": "2012", + "data": 2.1, + "country": "Switzerland" + }, + { + "year": "2013", + "data": 2.2, + "country": "Switzerland" + }, + { + "year": "2014", + "data": 2.0, + "country": "Switzerland" + }, + { + "year": "2015", + "data": 2.0, + "country": "Switzerland" + }, + { + "year": "2016", + "data": 2.1, + "country": "Switzerland" + }, + { + "year": "2017", + "data": 2.1, + "country": "Switzerland" + }, + { + "year": "2018", + "data": 2.0, + "country": "Switzerland" + }, + { + "year": "2019", + "data": 2.2, + "country": "Switzerland" + } + + + + + + + + + + + ] + diff --git a/json/socialJson.js b/json/socialJson.js new file mode 100644 index 00000000..a3f3e9f0 --- /dev/null +++ b/json/socialJson.js @@ -0,0 +1,796 @@ +let socialData = [ + + { + "year": "1990", + "data": 24.4, + "country": "France" + }, + { + "year": "1991", + "data": 25, + "country": "France" + }, + { + "year": "1992", + "data": 25.8, + "country": "France" + }, + { + "year": "1993", + "data": 27.2, + "country": "France" + }, + { + "year": "1994", + "data": 27.2, + "country": "France" + }, + { + "year": "1995", + "data": 28.5, + "country": "France" + }, + { + "year": "1996", + "data": 28.8, + "country": "France" + }, + { + "year": "1997", + "data": 28.6, + "country": "France" + }, + { + "year": "1998", + "data": 28.9, + "country": "France" + }, + { + "year": "1999", + "data": 28.8, + "country": "France" + }, + { + "year": "2000", + "data": 27.7, + "country": "France" + }, + { + "year": "2001", + "data": 27.7, + "country": "France" + }, + { + "year": "2002", + "data": 28.4, + "country": "France" + }, + { + "year": "2003", + "data": 28.8, + "country": "France" + }, + { + "year": "2004", + "data": 28.9, + "country": "France" + }, + { + "year": "2005", + "data": 28.8, + "country": "France" + }, + { + "year": "2006", + "data": 28.4, + "country": "France" + }, + { + "year": "2007", + "data": 28.3, + "country": "France" + }, + { + "year": "2008", + "data": 28.5, + "country": "France" + }, + { + "year": "2009", + "data": 31, + "country": "France" + }, + { + "year": "2010", + "data": 31.1, + "country": "France" + }, + { + "year": "2011", + "data": 30.8, + "country": "France" + }, + { + "year": "2012", + "data": 31.2, + "country": "France" + }, + { + "year": "2013", + "data": 31.7, + "country": "France" + }, + { + "year": "2014", + "data": 32, + "country": "France" + }, + { + "year": "2015", + "data": 31.8, + "country": "France" + }, + { + "year": "2016", + "data": 31.8, + "country": "France" + }, + { + "year": "2017", + "data": 31.5, + "country": "France" + }, + { + "year": "2018", + "data": 31.1, + "country": "France" + }, + { + "year": "2019", + "data": 31, + "country": "France" + }, + + + + + + + { + "year": "1990", + "data": 20.6, + "country": "Italy" + }, + { + "year": "1991", + "data": 21, + "country": "Italy" + }, + { + "year": "1992", + "data": 21.7, + "country": "Italy" + }, + { + "year": "1993", + "data": 22, + "country": "Italy" + }, + { + "year": "1994", + "data": 22, + "country": "Italy" + }, + { + "year": "1995", + "data": 21.1, + "country": "Italy" + }, + { + "year": "1996", + "data": 21.5, + "country": "Italy" + }, + { + "year": "1997", + "data": 22.2, + "country": "Italy" + }, + { + "year": "1998", + "data": 22.3, + "country": "Italy" + }, + { + "year": "1999", + "data": 22.7, + "country": "Italy" + }, + { + "year": "2000", + "data": 22.6, + "country": "Italy" + }, + { + "year": "2001", + "data": 22.8, + "country": "Italy" + }, + { + "year": "2002", + "data": 23.3, + "country": "Italy" + }, + { + "year": "2003", + "data": 23.6, + "country": "Italy" + }, + { + "year": "2004", + "data": 23.9, + "country": "Italy" + }, + { + "year": "2005", + "data": 24.1, + "country": "Italy" + }, + { + "year": "2006", + "data": 24.2, + "country": "Italy" + }, + { + "year": "2007", + "data": 24.1, + "country": "Italy" + }, + { + "year": "2008", + "data": 25, + "country": "Italy" + }, + { + "year": "2009", + "data": 27, + "country": "Italy" + }, + { + "year": "2010", + "data": 27, + "country": "Italy" + }, + { + "year": "2011", + "data": 26.6, + "country": "Italy" + }, + { + "year": "2012", + "data": 27.3, + "country": "Italy" + }, + { + "year": "2013", + "data": 27.9, + "country": "Italy" + }, + { + "year": "2014", + "data": 28.2, + "country": "Italy" + }, + { + "year": "2015", + "data": 28.3, + "country": "Italy" + }, + { + "year": "2016", + "data": 27.6, + "country": "Italy" + }, + { + "year": "2017", + "data": 27.6, + "country": "Italy" + }, + { + "year": "2018", + "data": 27.8, + "country": "Italy" + }, + { + "year": "2019", + "data": 28.2, + "country": "Italy" + }, + + + + + + + + + { + "year": "1990", + "data": 10.9, + "country": "Japan" + }, + { + "year": "1991", + "data": 11, + "country": "Japan" + }, + { + "year": "1992", + "data": 11.6, + "country": "Japan" + }, + { + "year": "1993", + "data": 12.4, + "country": "Japan" + }, + { + "year": "1994", + "data": 12.9, + "country": "Japan" + }, + { + "year": "1995", + "data": 13.2, + "country": "Japan" + }, + { + "year": "1996", + "data":13.2 , + "country": "Japan" + }, + { + "year": "1997", + "data": 13.6, + "country": "Japan" + }, + { + "year": "1998", + "data": 14.3, + "country": "Japan" + }, + { + "year": "1999", + "data": 15.1, + "country": "Japan" + }, + { + "year": "2000", + "data": 15.4, + "country": "Japan" + }, + { + "year": "2001", + "data": 16.1, + "country": "Japan" + }, + { + "year": "2002", + "data": 16.4, + "country": "Japan" + }, + { + "year": "2003", + "data": 16.6, + "country": "Japan" + }, + { + "year": "2004", + "data": 16.8, + "country": "Japan" + }, + { + "year": "2005", + "data": 17.1, + "country": "Japan" + }, + { + "year": "2006", + "data": 17.2, + "country": "Japan" + }, + { + "year": "2007", + "data": 17.6, + "country": "Japan" + }, + { + "year": "2008", + "data": 18.6, + "country": "Japan" + }, + { + "year": "2009", + "data": 20.8, + "country": "Japan" + }, + { + "year": "2010", + "data": 21.2, + "country": "Japan" + }, + { + "year": "2011", + "data": 22.2, + "country": "Japan" + }, + { + "year": "2012", + "data": 22.1, + "country": "Japan" + }, + { + "year": "2013", + "data": 21.8, + "country": "Japan" + }, + { + "year": "2014", + "data": 21.8, + "country": "Japan" + }, + { + "year": "2015", + "data": 22.2, + "country": "Japan" + }, + { + "year": "2016", + "data": 22.3, + "country": "Japan" + }, + { + "year": "2017", + "data": 22.3, + "country": "Japan" + }, + // { + // "year": "2018", + // "data": "NA", + // "country": "Japan" + // }, + // { + // "year": "2019", + // "data": "NA", + // "country": "Japan" + // }, + + + + + + + { + "year": "1990", + "data": 13, + "country": "Switzerland" + }, + { + "year": "1991", + "data": 13.8, + "country": "Switzerland" + }, + { + "year": "1992", + "data": 15.2, + "country": "Switzerland" + }, + { + "year": "1993", + "data": 16.6, + "country": "Switzerland" + }, + { + "year": "1994", + "data": 16.6, + "country": "Switzerland" + }, + { + "year": "1995", + "data": 14.8, + "country": "Switzerland" + }, + { + "year": "1996", + "data": 15.1, + "country": "Switzerland" + }, + { + "year": "1997", + "data": 15.5, + "country": "Switzerland" + }, + { + "year": "1998", + "data": 15.5, + "country": "Switzerland" + }, + { + "year": "1999", + "data": 15.3, + "country": "Switzerland" + }, + { + "year": "2000", + "data": 14.5, + "country": "Switzerland" + }, + { + "year": "2001", + "data": 14.8, + "country": "Switzerland" + }, + { + "year": "2002", + "data": 15.8, + "country": "Switzerland" + }, + { + "year": "2003", + "data": 16.4, + "country": "Switzerland" + }, + { + "year": "2004", + "data": 16.3, + "country": "Switzerland" + }, + { + "year": "2005", + "data": 16.1, + "country": "Switzerland" + }, + { + "year": "2006", + "data": 15.4, + "country": "Switzerland" + }, + { + "year": "2007", + "data": 14.8, + "country": "Switzerland" + }, + { + "year": "2008", + "data": 14.5, + "country": "Switzerland" + }, + { + "year": "2009", + "data": 16, + "country": "Switzerland" + }, + { + "year": "2010", + "data": 15.7, + "country": "Switzerland" + }, + { + "year": "2011", + "data": 15.6, + "country": "Switzerland" + }, + { + "year": "2012", + "data": 15.9, + "country": "Switzerland" + }, + { + "year": "2013", + "data": 16.2, + "country": "Switzerland" + }, + { + "year": "2014", + "data": 16.1, + "country": "Switzerland" + }, + { + "year": "2015", + "data": 16.6, + "country": "Switzerland" + }, + { + "year": "2016", + "data": 16.8, + "country": "Switzerland" + }, + { + "year": "2017", + "data": 17, + "country": "Switzerland" + }, + { + "year": "2018", + "data": 16.7, + "country": "Switzerland" + }, + // { + // "year": "2019", + // "data": "NA", + // "country": "Switzerland" + // }, + + + + + + + { + "year": "1990", + "data": 13.2, + "country": "United States" + }, + { + "year": "1991", + "data": 14.2, + "country": "United States" + }, + { + "year": "1992", + "data": 14.8, + "country": "United States" + }, + { + "year": "1993", + "data": 15.1, + "country": "United States" + }, + { + "year": "1994", + "data": 15.1, + "country": "United States" + }, + { + "year": "1995", + "data": 14.9, + "country": "United States" + }, + { + "year": "1996", + "data": 14.7, + "country": "United States" + }, + { + "year": "1997", + "data": 14.3, + "country": "United States" + }, + { + "year": "1998", + "data": 14.4, + "country": "United States" + }, + { + "year": "1999", + "data": 14.1, + "country": "United States" + }, + { + "year": "2000", + "data": 14.1, + "country": "United States" + }, + { + "year": "2001", + "data": 14.7, + "country": "United States" + }, + { + "year": "2002", + "data": 15.5, + "country": "United States" + }, + { + "year": "2003", + "data": 15.8, + "country": "United States" + }, + { + "year": "2004", + "data": 15.7, + "country": "United States" + }, + { + "year": "2005", + "data": 15.5, + "country": "United States" + }, + { + "year": "2006", + "data": 15.5, + "country": "United States" + }, + { + "year": "2007", + "data": 15.7, + "country": "United States" + }, + { + "year": "2008", + "data": 16.3, + "country": "United States" + }, + { + "year": "2009", + "data": 18.4, + "country": "United States" + }, + { + "year": "2010", + "data": 19.1, + "country": "United States" + }, + { + "year": "2011", + "data": 18.8, + "country": "United States" + }, + { + "year": "2012", + "data": 18.5, + "country": "United States" + }, + { + "year": "2013", + "data": 18.5, + "country": "United States" + }, + { + "year": "2014", + "data": 18.5, + "country": "United States" + }, + { + "year": "2015", + "data": 18.5, + "country": "United States" + }, + { + "year": "2014", + "data": 18.5, + "country": "United States" + }, + { + "year": "2015", + "data": 18.5, + "country": "United States" + }, + { + "year": "2016", + "data": 18.6, + "country": "United States" + }, + { + "year": "2017", + "data": 18.4, + "country": "United States" + }, + { + "year": "2018", + "data": 18.2, + "country": "United States" + }, + { + "year": "2019", + "data": 18.7, + "country": "United States" + }, + + + + + + + +] \ No newline at end of file From 9b4227486cdb6d57635885c0aaeb321e982d7f0a Mon Sep 17 00:00:00 2001 From: Danya Baron Date: Thu, 11 Mar 2021 11:38:21 -0500 Subject: [PATCH 05/57] added some css styling --- index.html | 36 +++++++++++++++++++++++++++++++++++- style.css | 19 +++++++++++++++++++ 2 files changed, 54 insertions(+), 1 deletion(-) create mode 100644 style.css diff --git a/index.html b/index.html index 41843203..12b1cc95 100644 --- a/index.html +++ b/index.html @@ -6,11 +6,18 @@ - Title + + + Final +

USA Military Budget vs. Social Programs Budget

+
+ + + - + Title @@ -13,41 +13,12 @@
- \ No newline at end of file diff --git a/json/militaryJson.js b/json/militaryJson.js index 717ec5d5..bdb0c104 100644 --- a/json/militaryJson.js +++ b/json/militaryJson.js @@ -1,839 +1,82 @@ let militaryData = [ - - // { - // "year": "1988", - // "data": "NA", - // "country": "United States" - // }, - // { - // "year": "1989", - // "data": "NA", - // "country": "United States" - // }, - // { - // "year": "1990", - // "data": "NA", - // "country": "United States" - // }, - // { - // "year": "1991", - // "data": "NA", - // "country": "United States" - // }, - // { - // "year": "1992", - // "data": "NA", - // "country": "United States" - // }, - // { - // "year": "1993", - // "data": "NA", - // "country": "United States" - // }, - // { - // "year": "1994", - // "data": "NA", - // "country": "United States" - // }, - // { - // "year": "1995", - // "data": "NA", - // "country": "United States" - // }, - // { - // "year": "1996", - // "data": "NA", - // "country": "United States" - // }, - // { - // "year": "1997", - // "data": "NA", - // "country": "United States" - // }, - // { - // "year": "1998", - // "data": "NA", - // "country": "United States" - // }, - // { - // "year": "1999", - // "data": "NA", - // "country": "United States" - // }, - // { - // "year": "2000", - // "data": "NA", - // "country": "United States" - // }, - { - "year": "2001", - "data": 9.6, - "country": "United States" - }, - { - "year": "2002", - "data": 10.3, - "country": "United States" - }, - { - "year": "2003", - "data": 11.3, - "country": "United States" - }, - { - "year": "2004", - "data": 12.0, - "country": "United States" - }, - { - "year": "2005", - "data": 12.1, - "country": "United States" - }, - { - "year": "2006", - "data": 12.0, - "country": "United States" - }, - { - "year": "2007", - "data": 11.8, - "country": "United States" - }, - { - "year": "2008", - "data": 12.0, - "country": "United States" - }, - { - "year": "2009", - "data": 11.8, - "country": "United States" - }, - { - "year": "2010", - "data": 12.3, - "country": "United States" - }, - { - "year": "2011", - "data": 12.4, - "country": "United States" - }, - { - "year": "2012", - "data": 12.0, - "country": "United States" - }, - { - "year": "2013", - "data": 11.3, - "country": "United States" - }, - { - "year": "2014", - "data": 10.4, - "country": "United States" - }, - { - "year": "2015", - "data": 9.9, - "country": "United States" - }, - { - "year": "2016", - "data": 9.6, - "country": "United States" - }, { - "year": "2017", - "data": 9.4, - "country": "United States" + year: 2003, + budget: 437.4 }, { - "year": "2018", - "data": 9.4, - "country": "United States" + year: 2004, + budget: 467.60 }, { - "year": "2019", - "data": 9.4, - "country": "United States" + year: 2005, + budget: 478.90 }, - - - { - "year": "1988", - "data": 3.0, - "country": "Japan" + year: 2006, + budget: 644.30 }, { - "year": "1989", - "data": 3.1, - "country": "Japan" + year: 2007, + budget: 721.50 }, { - "year": "1990", - "data": 3.1, - "country": "Japan" + year: 2008, + budget: 792.90 }, { - "year": "1991", - "data": 3.1, - "country": "Japan" + year: 2009, + budget: 815.70 }, { - "year": "1992", - "data": 3.0, - "country": "Japan" + year: 2010, + budget: 851.60 }, { - "year": "1993", - "data": 2.8, - "country": "Japan" + year: 2011, + budget: 855.20 }, { - "year": "1994", - "data": 2.8, - "country": "Japan" + year: 2012, + budget: 816.30 }, { - "year": "1995", - "data": 2.7, - "country": "Japan" + year: 2013, + budget: 746.40 }, { - "year": "1996", - "data": 2.6, - "country": "Japan" + year: 2014, + budget: 753.60 }, { - "year": "1997", - "data": 2.7, - "country": "Japan" + year: 2015, + budget: 736.40 }, { - "year": "1998", - "data": 2.4, - "country": "Japan" + year: 2016, + budget: 767.60 }, { - "year": "1999", - "data": 2.6, - "country": "Japan" + year: 2017, + budget: 818.90 }, { - "year": "2000", - "data": 2.5, - "country": "Japan" + year: 2018, + budget: 890.80 }, { - "year": "2001", - "data": 2.6, - "country": "Japan" + year: 2019, + budget: 904.30 }, { - "year": "2002", - "data": 2.6, - "country": "Japan" + year: 2020, + budget: 935.80 }, - { - "year": "2003", - "data": 2.6, - "country": "Japan" - }, - { - "year": "2004", - "data": 2.7, - "country": "Japan" - }, - { - "year": "2005", - "data": 2.7, - "country": "Japan" - }, - { - "year": "2006", - "data": 2.7, - "country": "Japan" - }, - { - "year": "2007", - "data": 2.6, - "country": "Japan" - }, - { - "year": "2008", - "data": 2.6, - "country": "Japan" - }, - { - "year": "2009", - "data": 2.5, - "country": "Japan" - }, - { - "year": "2010", - "data": 2.5, - "country": "Japan" - }, - { - "year": "2011", - "data": 2.5, - "country": "Japan" - }, - { - "year": "2012", - "data": 2.5, - "country": "Japan" - }, - { - "year": "2013", - "data": 2.4, - "country": "Japan" - }, - { - "year": "2014", - "data": 2.5, - "country": "Japan" - }, - { - "year": "2015", - "data": 2.5, - "country": "Japan" - }, - { - "year": "2016", - "data": 2.5, - "country": "Japan" - }, - { - "year": "2017", - "data": 2.5, - "country": "Japan" - }, - { - "year": "2018", - "data": 2.5, - "country": "Japan" - }, - { - "year": "2019", - "data": 2.5, - "country": "Japan" - }, - - - - - - { - "year": "1988", - "data": 5.9, - "country": "France" + year: 2021, + budget: 933.80 }, - { - "year": "1989", - "data": 5.8, - "country": "France" - }, - { - "year": "1990", - "data": 5.6, - "country": "France" - }, - { - "year": "1991", - "data": 5.5, - "country": "France" - }, - { - "year": "1992", - "data": 5.1, - "country": "France" - }, - { - "year": "1993", - "data": 4.9, - "country": "France" - }, - { - "year": "1994", - "data": 4.9, - "country": "France" - }, - { - "year": "1995", - "data": 4.6, - "country": "France" - }, - { - "year": "1996", - "data": 4.4, - "country": "France" - }, - { - "year": "1997", - "data": 4.4, - "country": "France" - }, - { - "year": "1998", - "data": 4.2, - "country": "France" - }, - { - "year": "1999", - "data": 4.2, - "country": "France" - }, - { - "year": "2000", - "data": 4.0, - "country": "France" - }, - { - "year": "2001", - "data": 3.9, - "country": "France" - }, - { - "year": "2002", - "data": 3.9, - "country": "France" - }, - { - "year": "2003", - "data": 3.9, - "country": "France" - }, - { - "year": "2004", - "data": 4.0, - "country": "France" - }, - { - "year": "2005", - "data": 3.8, - "country": "France" - }, - { - "year": "2006", - "data": 3.7, - "country": "France" - }, - { - "year": "2007", - "data": 3.6, - "country": "France" - }, - { - "year": "2008", - "data": 3.6, - "country": "France" - }, - { - "year": "2009", - "data": 3.7, - "country": "France" - }, - { - "year": "2010", - "data": 3.5, - "country": "France" - }, - { - "year": "2011", - "data": 3.4, - "country": "France" - }, - { - "year": "2012", - "data": 3.3, - "country": "France" - }, - { - "year": "2013", - "data": 3.2, - "country": "France" - }, - { - "year": "2014", - "data": 3.3, - "country": "France" - }, - { - "year": "2015", - "data": 3.3, - "country": "France" - }, - { - "year": "2016", - "data": 3.4, - "country": "France" - }, - { - "year": "2017", - "data": 3.4, - "country": "France" - }, - { - "year": "2018", - "data": 3.3, - "country": "France" - }, - { - "year": "2019", - "data": 3.3, - "country": "France" - }, - - - - - - - - - { - "year": "1998", - "data": 4.0, - "country": "Italy" - }, - { - "year": "1989", - "data": 3.8, - "country": "Italy" - }, - { - "year": "1990", - "data": 3.3, - "country": "Italy" - }, - { - "year": "1991", - "data": 3.2, - "country": "Italy" - }, - { - "year": "1992", - "data": 3.0, - "country": "Italy" - }, - { - "year": "1993", - "data": 3.0, - "country": "Italy" - }, - { - "year": "1994", - "data": 3.0, - "country": "Italy" - }, - { - "year": "1995", - "data": 2.8, - "country": "Italy" - }, - { - "year": "1996", - "data": 3.1, - "country": "Italy" - }, - { - "year": "1997", - "data": 3.3, - "country": "Italy" - }, - { - "year": "1998", - "data": 3.4, - "country": "Italy" - }, - { - "year": "1999", - "data": 3.6, - "country": "Italy" - }, - { - "year": "2000", - "data": 3.7, - "country": "Italy" - }, - { - "year": "2001", - "data": 3.5, - "country": "Italy" - }, - { - "year": "2002", - "data": 3.6, - "country": "Italy" - }, - { - "year": "2003", - "data": 3.6, - "country": "Italy" - }, - { - "year": "2004", - "data": 3.6, - "country": "Italy" - }, - { - "year": "2005", - "data": 3.4, - "country": "Italy" - }, - { - "year": "2006", - "data": 3.2, - "country": "Italy" - }, - { - "year": "2007", - "data": 3.1, - "country": "Italy" - }, - { - "year": "2008", - "data": 3.2, - "country": "Italy" - }, - { - "year": "2009", - "data": 3.0, - "country": "Italy" - }, - { - "year": "2010", - "data": 3.0, - "country": "Italy" - }, - { - "year": "2011", - "data": 3.0, - "country": "Italy" - }, - { - "year": "2012", - "data": 2.8, - "country": "Italy" - }, - { - "year": "2013", - "data": 2.8, - "country": "Italy" - }, - { - "year": "2014", - "data": 2.5, - "country": "Italy" - }, - { - "year": "2015", - "data": 2.4, - "country": "Italy" - }, - { - "year": "2016", - "data": 2.7, - "country": "Italy" - }, - { - "year": "2017", - "data": 2.8, - "country": "Italy" - }, - { - "year": "2018", - "data": 2.8, - "country": "Italy" - }, - { - "year": "2019", - "data": 2.8, - "country": "Italy" - }, - - - - - - - { - "year": "1988", - "data": 5.4, - "country": "Switzerland" - }, - { - "year": "1989", - "data": 5.4, - "country": "Switzerland" - }, - { - "year": "1990", - "data": 5.6, - "country": "Switzerland" - }, - { - "year": "1991", - "data": 5.1, - "country": "Switzerland" - }, - { - "year": "1992", - "data": 4.8, - "country": "Switzerland" - }, - { - "year": "1993", - "data": 4.1, - "country": "Switzerland" - }, - { - "year": "1994", - "data": 4.0, - "country": "Switzerland" - }, - { - "year": "1995", - "data": 4.1, - "country": "Switzerland" - }, - { - "year": "1996", - "data": 3.8, - "country": "Switzerland" - }, - { - "year": "1997", - "data": 3.6, - "country": "Switzerland" - }, - { - "year": "1998", - "data": 3.6, - "country": "Switzerland" - }, - { - "year": "1999", - "data":3.2 , - "country": "Switzerland" - }, - { - "year": "2000", - "data": 3.2, - "country": "Switzerland" - }, - { - "year": "2001", - "data": 3.1, - "country": "Switzerland" - }, - { - "year": "2002", - "data": 2.8, - "country": "Switzerland" - }, - { - "year": "2003", - "data": 2.7, - "country": "Switzerland" - }, - { - "year": "2004", - "data": 2.6, - "country": "Switzerland" - }, - { - "year": "2005", - "data": 2.6, - "country": "Switzerland" - }, - { - "year": "2006", - "data": 2.5, - "country": "Switzerland" - }, - { - "year": "2007", - "data": 2.5, - "country": "Switzerland" - }, - { - "year": "2008", - "data": 2.4, - "country": "Switzerland" - }, - { - "year": "2009", - "data": 2.3, - "country": "Switzerland" - }, - { - "year": "2010", - "data": 2.2, - "country": "Switzerland" - }, - { - "year": "2011", - "data": 2.2, - "country": "Switzerland" - }, - { - "year": "2012", - "data": 2.1, - "country": "Switzerland" - }, - { - "year": "2013", - "data": 2.2, - "country": "Switzerland" - }, - { - "year": "2014", - "data": 2.0, - "country": "Switzerland" - }, - { - "year": "2015", - "data": 2.0, - "country": "Switzerland" - }, - { - "year": "2016", - "data": 2.1, - "country": "Switzerland" - }, - { - "year": "2017", - "data": 2.1, - "country": "Switzerland" - }, - { - "year": "2018", - "data": 2.0, - "country": "Switzerland" - }, - { - "year": "2019", - "data": 2.2, - "country": "Switzerland" - } - - - - - - - - - ] diff --git a/json/socialJson.js b/json/socialJson.js deleted file mode 100644 index a3f3e9f0..00000000 --- a/json/socialJson.js +++ /dev/null @@ -1,796 +0,0 @@ -let socialData = [ - - { - "year": "1990", - "data": 24.4, - "country": "France" - }, - { - "year": "1991", - "data": 25, - "country": "France" - }, - { - "year": "1992", - "data": 25.8, - "country": "France" - }, - { - "year": "1993", - "data": 27.2, - "country": "France" - }, - { - "year": "1994", - "data": 27.2, - "country": "France" - }, - { - "year": "1995", - "data": 28.5, - "country": "France" - }, - { - "year": "1996", - "data": 28.8, - "country": "France" - }, - { - "year": "1997", - "data": 28.6, - "country": "France" - }, - { - "year": "1998", - "data": 28.9, - "country": "France" - }, - { - "year": "1999", - "data": 28.8, - "country": "France" - }, - { - "year": "2000", - "data": 27.7, - "country": "France" - }, - { - "year": "2001", - "data": 27.7, - "country": "France" - }, - { - "year": "2002", - "data": 28.4, - "country": "France" - }, - { - "year": "2003", - "data": 28.8, - "country": "France" - }, - { - "year": "2004", - "data": 28.9, - "country": "France" - }, - { - "year": "2005", - "data": 28.8, - "country": "France" - }, - { - "year": "2006", - "data": 28.4, - "country": "France" - }, - { - "year": "2007", - "data": 28.3, - "country": "France" - }, - { - "year": "2008", - "data": 28.5, - "country": "France" - }, - { - "year": "2009", - "data": 31, - "country": "France" - }, - { - "year": "2010", - "data": 31.1, - "country": "France" - }, - { - "year": "2011", - "data": 30.8, - "country": "France" - }, - { - "year": "2012", - "data": 31.2, - "country": "France" - }, - { - "year": "2013", - "data": 31.7, - "country": "France" - }, - { - "year": "2014", - "data": 32, - "country": "France" - }, - { - "year": "2015", - "data": 31.8, - "country": "France" - }, - { - "year": "2016", - "data": 31.8, - "country": "France" - }, - { - "year": "2017", - "data": 31.5, - "country": "France" - }, - { - "year": "2018", - "data": 31.1, - "country": "France" - }, - { - "year": "2019", - "data": 31, - "country": "France" - }, - - - - - - - { - "year": "1990", - "data": 20.6, - "country": "Italy" - }, - { - "year": "1991", - "data": 21, - "country": "Italy" - }, - { - "year": "1992", - "data": 21.7, - "country": "Italy" - }, - { - "year": "1993", - "data": 22, - "country": "Italy" - }, - { - "year": "1994", - "data": 22, - "country": "Italy" - }, - { - "year": "1995", - "data": 21.1, - "country": "Italy" - }, - { - "year": "1996", - "data": 21.5, - "country": "Italy" - }, - { - "year": "1997", - "data": 22.2, - "country": "Italy" - }, - { - "year": "1998", - "data": 22.3, - "country": "Italy" - }, - { - "year": "1999", - "data": 22.7, - "country": "Italy" - }, - { - "year": "2000", - "data": 22.6, - "country": "Italy" - }, - { - "year": "2001", - "data": 22.8, - "country": "Italy" - }, - { - "year": "2002", - "data": 23.3, - "country": "Italy" - }, - { - "year": "2003", - "data": 23.6, - "country": "Italy" - }, - { - "year": "2004", - "data": 23.9, - "country": "Italy" - }, - { - "year": "2005", - "data": 24.1, - "country": "Italy" - }, - { - "year": "2006", - "data": 24.2, - "country": "Italy" - }, - { - "year": "2007", - "data": 24.1, - "country": "Italy" - }, - { - "year": "2008", - "data": 25, - "country": "Italy" - }, - { - "year": "2009", - "data": 27, - "country": "Italy" - }, - { - "year": "2010", - "data": 27, - "country": "Italy" - }, - { - "year": "2011", - "data": 26.6, - "country": "Italy" - }, - { - "year": "2012", - "data": 27.3, - "country": "Italy" - }, - { - "year": "2013", - "data": 27.9, - "country": "Italy" - }, - { - "year": "2014", - "data": 28.2, - "country": "Italy" - }, - { - "year": "2015", - "data": 28.3, - "country": "Italy" - }, - { - "year": "2016", - "data": 27.6, - "country": "Italy" - }, - { - "year": "2017", - "data": 27.6, - "country": "Italy" - }, - { - "year": "2018", - "data": 27.8, - "country": "Italy" - }, - { - "year": "2019", - "data": 28.2, - "country": "Italy" - }, - - - - - - - - - { - "year": "1990", - "data": 10.9, - "country": "Japan" - }, - { - "year": "1991", - "data": 11, - "country": "Japan" - }, - { - "year": "1992", - "data": 11.6, - "country": "Japan" - }, - { - "year": "1993", - "data": 12.4, - "country": "Japan" - }, - { - "year": "1994", - "data": 12.9, - "country": "Japan" - }, - { - "year": "1995", - "data": 13.2, - "country": "Japan" - }, - { - "year": "1996", - "data":13.2 , - "country": "Japan" - }, - { - "year": "1997", - "data": 13.6, - "country": "Japan" - }, - { - "year": "1998", - "data": 14.3, - "country": "Japan" - }, - { - "year": "1999", - "data": 15.1, - "country": "Japan" - }, - { - "year": "2000", - "data": 15.4, - "country": "Japan" - }, - { - "year": "2001", - "data": 16.1, - "country": "Japan" - }, - { - "year": "2002", - "data": 16.4, - "country": "Japan" - }, - { - "year": "2003", - "data": 16.6, - "country": "Japan" - }, - { - "year": "2004", - "data": 16.8, - "country": "Japan" - }, - { - "year": "2005", - "data": 17.1, - "country": "Japan" - }, - { - "year": "2006", - "data": 17.2, - "country": "Japan" - }, - { - "year": "2007", - "data": 17.6, - "country": "Japan" - }, - { - "year": "2008", - "data": 18.6, - "country": "Japan" - }, - { - "year": "2009", - "data": 20.8, - "country": "Japan" - }, - { - "year": "2010", - "data": 21.2, - "country": "Japan" - }, - { - "year": "2011", - "data": 22.2, - "country": "Japan" - }, - { - "year": "2012", - "data": 22.1, - "country": "Japan" - }, - { - "year": "2013", - "data": 21.8, - "country": "Japan" - }, - { - "year": "2014", - "data": 21.8, - "country": "Japan" - }, - { - "year": "2015", - "data": 22.2, - "country": "Japan" - }, - { - "year": "2016", - "data": 22.3, - "country": "Japan" - }, - { - "year": "2017", - "data": 22.3, - "country": "Japan" - }, - // { - // "year": "2018", - // "data": "NA", - // "country": "Japan" - // }, - // { - // "year": "2019", - // "data": "NA", - // "country": "Japan" - // }, - - - - - - - { - "year": "1990", - "data": 13, - "country": "Switzerland" - }, - { - "year": "1991", - "data": 13.8, - "country": "Switzerland" - }, - { - "year": "1992", - "data": 15.2, - "country": "Switzerland" - }, - { - "year": "1993", - "data": 16.6, - "country": "Switzerland" - }, - { - "year": "1994", - "data": 16.6, - "country": "Switzerland" - }, - { - "year": "1995", - "data": 14.8, - "country": "Switzerland" - }, - { - "year": "1996", - "data": 15.1, - "country": "Switzerland" - }, - { - "year": "1997", - "data": 15.5, - "country": "Switzerland" - }, - { - "year": "1998", - "data": 15.5, - "country": "Switzerland" - }, - { - "year": "1999", - "data": 15.3, - "country": "Switzerland" - }, - { - "year": "2000", - "data": 14.5, - "country": "Switzerland" - }, - { - "year": "2001", - "data": 14.8, - "country": "Switzerland" - }, - { - "year": "2002", - "data": 15.8, - "country": "Switzerland" - }, - { - "year": "2003", - "data": 16.4, - "country": "Switzerland" - }, - { - "year": "2004", - "data": 16.3, - "country": "Switzerland" - }, - { - "year": "2005", - "data": 16.1, - "country": "Switzerland" - }, - { - "year": "2006", - "data": 15.4, - "country": "Switzerland" - }, - { - "year": "2007", - "data": 14.8, - "country": "Switzerland" - }, - { - "year": "2008", - "data": 14.5, - "country": "Switzerland" - }, - { - "year": "2009", - "data": 16, - "country": "Switzerland" - }, - { - "year": "2010", - "data": 15.7, - "country": "Switzerland" - }, - { - "year": "2011", - "data": 15.6, - "country": "Switzerland" - }, - { - "year": "2012", - "data": 15.9, - "country": "Switzerland" - }, - { - "year": "2013", - "data": 16.2, - "country": "Switzerland" - }, - { - "year": "2014", - "data": 16.1, - "country": "Switzerland" - }, - { - "year": "2015", - "data": 16.6, - "country": "Switzerland" - }, - { - "year": "2016", - "data": 16.8, - "country": "Switzerland" - }, - { - "year": "2017", - "data": 17, - "country": "Switzerland" - }, - { - "year": "2018", - "data": 16.7, - "country": "Switzerland" - }, - // { - // "year": "2019", - // "data": "NA", - // "country": "Switzerland" - // }, - - - - - - - { - "year": "1990", - "data": 13.2, - "country": "United States" - }, - { - "year": "1991", - "data": 14.2, - "country": "United States" - }, - { - "year": "1992", - "data": 14.8, - "country": "United States" - }, - { - "year": "1993", - "data": 15.1, - "country": "United States" - }, - { - "year": "1994", - "data": 15.1, - "country": "United States" - }, - { - "year": "1995", - "data": 14.9, - "country": "United States" - }, - { - "year": "1996", - "data": 14.7, - "country": "United States" - }, - { - "year": "1997", - "data": 14.3, - "country": "United States" - }, - { - "year": "1998", - "data": 14.4, - "country": "United States" - }, - { - "year": "1999", - "data": 14.1, - "country": "United States" - }, - { - "year": "2000", - "data": 14.1, - "country": "United States" - }, - { - "year": "2001", - "data": 14.7, - "country": "United States" - }, - { - "year": "2002", - "data": 15.5, - "country": "United States" - }, - { - "year": "2003", - "data": 15.8, - "country": "United States" - }, - { - "year": "2004", - "data": 15.7, - "country": "United States" - }, - { - "year": "2005", - "data": 15.5, - "country": "United States" - }, - { - "year": "2006", - "data": 15.5, - "country": "United States" - }, - { - "year": "2007", - "data": 15.7, - "country": "United States" - }, - { - "year": "2008", - "data": 16.3, - "country": "United States" - }, - { - "year": "2009", - "data": 18.4, - "country": "United States" - }, - { - "year": "2010", - "data": 19.1, - "country": "United States" - }, - { - "year": "2011", - "data": 18.8, - "country": "United States" - }, - { - "year": "2012", - "data": 18.5, - "country": "United States" - }, - { - "year": "2013", - "data": 18.5, - "country": "United States" - }, - { - "year": "2014", - "data": 18.5, - "country": "United States" - }, - { - "year": "2015", - "data": 18.5, - "country": "United States" - }, - { - "year": "2014", - "data": 18.5, - "country": "United States" - }, - { - "year": "2015", - "data": 18.5, - "country": "United States" - }, - { - "year": "2016", - "data": 18.6, - "country": "United States" - }, - { - "year": "2017", - "data": 18.4, - "country": "United States" - }, - { - "year": "2018", - "data": 18.2, - "country": "United States" - }, - { - "year": "2019", - "data": 18.7, - "country": "United States" - }, - - - - - - - -] \ No newline at end of file From f444c42a43d1de381a8867e01acb1201dd237d5e Mon Sep 17 00:00:00 2001 From: Danya Baron Date: Thu, 11 Mar 2021 22:16:43 -0500 Subject: [PATCH 07/57] added bar chart just need to fix labels --- csv/Book1.csv~ | 36 ------ csv/social-data.csv | 17 +++ index.html | 302 ++++++++++++++++++++------------------------ 3 files changed, 154 insertions(+), 201 deletions(-) delete mode 100644 csv/Book1.csv~ create mode 100644 csv/social-data.csv diff --git a/csv/Book1.csv~ b/csv/Book1.csv~ deleted file mode 100644 index 07a19cbb..00000000 --- a/csv/Book1.csv~ +++ /dev/null @@ -1,36 +0,0 @@ -Country,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017,2018,2019 -Canada,4.3%,4.2%,4.0%,3.6%,3.5%,3.4%,3.4%,3.2%,3.0%,2.8%,2.8%,2.9%,2.7%,2.8%,2.8%,2.8%,2.8%,2.9%,2.9%,3.1%,3.2%,3.2%,2.8%,2.9%,2.7%,2.5%,2.6%,2.9%,2.9%,3.4%,3.3%,3.2% -USA,,,,,,,,,,,,,,9.6%,10.3%,11.3%,12.0%,12.1%,12.0%,11.8%,12.0%,11.8%,12.3%,12.4%,12.0%,11.3%,10.4%,9.9%,9.6%,9.4%,9.4%,9.4% -Colombia,10.9%,8.9%,9.1%,9.0%,9.7%,10.8%,10.2%,10.7%,14.8%,9.0%,10.9%,11.1%,11.5%,12.1%,12.2%,12.4%,13.1%,13.0%,11.6%,11.7%,13.9%,13.1%,12.4%,10.7%,11.2%,11.3%,10.6%,10.5%,11.1%,11.4%,10.9%,11.0% -Paraguay,34.8%,21.7%,23.0%,25.1%,18.4%,17.1%,14.0%,14.3%,12.0%,9.2%,8.1%,6.7%,6.3%,5.6%,5.4%,5.1%,5.6%,4.9%,5.2%,5.3%,5.3%,5.0%,5.1%,5.3%,5.2%,5.5%,5.5%,5.2%,4.9%,4.6%,4.9%,5.3% -Peru,,,,,,,,,,,,,8.3%,8.5%,7.9%,7.6%,7.1%,8.0%,7.7%,7.0%,6.3%,7.1%,7.0%,7.0%,7.3%,7.6%,7.0%,7.7%,6.2%,5.9%,5.5%,5.4% -Uruguay,,,,,,,,,,,,8.1%,8.4%,8.2%,8.4%,7.4%,7.0%,7.0%,6.9%,6.1%,6.5%,6.1%,6.3%,6.0%,6.0%,5.8%,5.7%,5.9%,5.8%,6.0%,6.4%,6.0% -China,,13.4%,14.0%,14.5%,17.1%,15.1%,14.4%,15.4%,15.3%,14.5%,13.4%,12.9%,11.7%,11.98%,11.87%,11.63%,11.58%,10.98%,10.96%,10.54%,8.38%,8.09%,7.64%,6.79%,6.55%,6.54%,6.58%,6.1%,6.0%,5.9%,5.6%,5.4% -Japan,3.0%,3.1%,3.1%,3.1%,3.0%,2.8%,2.8%,2.7%,2.6%,2.7%,2.4%,2.6%,2.5%,2.6%,2.6%,2.6%,2.7%,2.7%,2.7%,2.6%,2.6%,2.5%,2.5%,2.5%,2.5%,2.4%,2.5%,2.5%,2.5%,2.5%,2.5%,2.5% -South Korea,,,,,,,,20.3%,18.5%,18.2%,16.4%,14.5%,14.4%,13.5%,13.7%,12.2%,11.7%,12.6%,12.3%,12.1%,12.5%,12.8%,13.2%,13.0%,12.7%,12.6%,12.8%,12.6%,12.6%,12.3%,12.2%,12.1% -India,14.8%,13.6%,12.4%,10.9%,10.3%,11.0%,10.3%,10.5%,10.3%,10.7%,10.7%,11.6%,11.5%,10.5%,9.9%,9.1%,10.1%,10.4%,9.5%,8.9%,8.9%,10.3%,9.9%,9.6%,9.3%,9.3%,9.5%,8.8%,9.1%,9.2%,9.1%,8.8% -Russia,,,,,,,,,,,6.9%,9.0%,10.8%,11.3%,11.1%,11.3%,11.2%,11.3%,11.2%,9.8%,9.9%,10.2%,10.1%,10.3%,10.8%,11.1%,11.8%,13.8%,14.8%,12.1%,11.4%,11.4% -Greece,10.8%,9.4%,8.6%,8.6%,8.6%,8.1%,8.4%,6.6%,7.0%,7.3%,7.4%,7.3%,7.5%,7.1%,6.7%,5.4%,5.5%,6.2%,6.2%,5.7%,5.9%,6.0%,5.2%,4.6%,4.6%,4.6%,4.6%,4.8%,5.2%,5.3%,5.7%,5.4% -Switzerland,5.4%,5.4%,5.6%,5.1%,4.8%,4.1%,4.0%,4.1%,3.8%,3.6%,3.6%,3.2%,3.2%,3.1%,2.8%,2.7%,2.6%,2.6%,2.5%,2.5%,2.4%,2.3%,2.2%,2.2%,2.1%,2.2%,2.0%,2.0%,2.1%,2.1%,2.0%,2.2% -UK,10.2%,9.9%,9.4%,9.5%,8.5%,7.9%,7.5%,6.8%,6.9%,6.6%,6.6%,6.5%,6.3%,6.3%,6.3%,6.2%,6.0%,5.7%,5.6%,5.6%,5.6%,5.5%,5.3%,5.3%,5.1%,5.0%,4.8%,4.7%,4.7%,4.6%,4.6%,4.5% -Iran,,,14.5%,12.5%,9.9%,5.1%,7.6%,8.5%,10.6%,11.9%,12.9%,12.6%,14.0%,14.5%,10.9%,12.1%,15.2%,14.1%,14.2%,14.0%,12.6%,15.3%,15.2%,13.0%,19.3%,15.6%,14.8%,15.4%,15.2%,16.0%,13.5%,13.3% -Iraq,,,,,,,,,,,,,,,,,1.8%,3.5%,3.8%,4.9%,4.1%,4.9%,5.5%,5.3%,4.4%,6.9%,6.7%,12.5%,8.4%,11.0%,8.8%,7.8% -Israel,,,,,,,,,,,,,13.3%,13.2%,12.8%,13.8%,14.4%,14.3%,14.1%,15.4%,15.2%,14.6%,14.7%,14.6%,14.1%,13.8%,14.8%,14.6%,14.5%,14.3%,13.5%,13.2% -Jordan,21.0%,21.2%,17.5%,22.1%,19.2%,18.9%,18.7%,12.3%,16.3%,17.7%,17.5%,18.6%,18.3%,17.8%,15.9%,16.1%,13.6%,12.3%,12.8%,16.0%,17.7%,18.5%,17.9%,15.2%,12.6%,12.5%,11.8%,12.8%,15.6%,16.2%,15.0%,15.2% -Kuwait,,,52.6%,57.5%,35.0%,20.3%,22.7%,24.9%,23.1%,18.5%,16.9%,16.9%,19.6%,17.9%,17.7%,17.7%,17.0%,15.4%,11.1%,11.9%,7.4%,9.4%,8.4%,9.0%,8.8%,8.6%,8.1%,9.2%,11.0%,10.9%,10.4%,10.5% -,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, -,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, -,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, -,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, -,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, -,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, -,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, -,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, -,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, -,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, -,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, -,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, -,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, -,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, -,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, -,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, diff --git a/csv/social-data.csv b/csv/social-data.csv new file mode 100644 index 00000000..39a40884 --- /dev/null +++ b/csv/social-data.csv @@ -0,0 +1,17 @@ +Year,Social Spending,Trillion +2003,15.8,1.81 +2004,15.7,1.92 +2005,15.5,2.02 +2006,15.5,2.14 +2007,15.7,2.27 +2008,16.3,2.39 +2009,18.4,2.66 +2010,19.1,2.86 +2011,18.8,2.92 +2012,18.5,2.99 +2013,18.5,3.1 +2014,18.5,3.24 +2015,18.5,3.37 +2016,18.5,3.46 +2017,18.4,3.59 +2018,18.2,3.74 \ No newline at end of file diff --git a/index.html b/index.html index 12b1cc95..a9dbc0bd 100644 --- a/index.html +++ b/index.html @@ -13,10 +13,7 @@

USA Military Budget vs. Social Programs Budget

-
-
- - +
@@ -27,37 +24,35 @@

USA Military Budget vs. Social Programs Budget

width = 600 - margin.left - margin.right, height = 400 - margin.top - margin.bottom; - var colorDict = { - Japan: "red", - UnitedStates: "blue", - France: "green", - Italy: "yellow", - Switzerland: "orange" - }; - - function assignColor (country) { - switch (country) { - case "United States": - return colorDict.UnitedStates - case "Japan": - return colorDict.Japan - case "France": - return colorDict.France - case "Italy": - return colorDict.Italy - case "Switzerland": - return colorDict.Switzerland - default: - return "black" - }; - }; - - + // var colorDict = { + // Japan: "red", + // UnitedStates: "blue", + // France: "green", + // Italy: "yellow", + // Switzerland: "orange" + // }; + + // function assignColor (country) { + // switch (country) { + // case "United States": + // return colorDict.UnitedStates + // case "Japan": + // return colorDict.Japan + // case "France": + // return colorDict.France + // case "Italy": + // return colorDict.Italy + // case "Switzerland": + // return colorDict.Switzerland + // default: + // return "black" + // }; + // }; /*** Military Line Graph ***/ // Append SVG - var ml_svg = d3.select("#military_line_vis") + var social_svg = d3.select("#social_vis") .append("svg") .attr("width", width + margin.left + margin.right) .attr("height", height + margin.top + margin.bottom) @@ -65,147 +60,124 @@

USA Military Budget vs. Social Programs Budget

.attr("transform", "translate(" + margin.left + "," + margin.top + ")"); - // X axis - var ml_x = d3.scaleBand() - .domain([1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017,2018,2019]) - .range([0, width]); - ml_svg.append("g") - .attr("transform", "translate(0," + height + ")") - .call(d3.axisBottom(ml_x).tickValues([1988,1990,1992,1994,1996,1998,2000,2002,2004,2006,2008,2010,2012,2014,2016,2018]).tickFormat(d3.format("d"))); - - // Y axis - var ml_y = d3.scaleLinear() - .domain([0, 16]) - .range([ height, 0 ]); - ml_svg.append("g") - .call(d3.axisLeft(ml_y)); - - // Dots in place of line for now - ml_svg.append('g') - .selectAll("dot") - .data(militaryData) - .enter() - .append("circle") - .attr("cx", function (d) { return ml_x(d.year) }) - .attr("cy", function (d) { return ml_y(d.data) }) - .attr("r", 5 ) - .style("fill", function(d) { return assignColor(d.country) }) - - - // UGH cant get line to work (commented out sections from here down) - - // ml_svg.append("path") - // .data(militaryData) - // .attr("class", "line") - // .attr("stroke", "steelblue") - // .attr("stroke-width", 1.5) - // .attr("d", d3.line() - // .x(x(militaryData.year)) - // .y(y(militaryData.data)) - // ) - - // var valueLine = d3.line() - // .x(function(d) { console.log("ahh"); return x(d.year); }) - // .y(function(d) { return x(d.data); }) - - // var line = d3.line() - // .defined(d => !isNaN(d.data)) - // .x(d => x(d.year)) - // .y(d => y(d.data)) - - - // ml_svg.append("path") - // .data(militaryData) - // .attr("fill", "none") - // .attr("stroke", "steelblue") - // .attr("stroke-width", 1.5) - // .attr("d", d3.line() - // .x(d => x(d.year)) - // .y(d => y(d.data))); - - // militaryData.forEach(mData => { - - // console.log(data) - // ml_svg.append("path") - // .data([mData]) - // .attr("class", "line") - - // // .attr("fill", "none") - // .attr("stroke", "steelblue") - // .attr("stroke-width", 1.5) - // // .attr("stroke-width", function(d) { console.log(d.data) }) - // .attr("d", - // d3.line() - // .x(x(mData.year)) - // .y(y(mData.data)) - // ) - // }) - - - // define the line - var valueline = d3.line() - .x(function(d) { return x(d.year); }) - .y(function(d) { return y(d.data); }); - // define the line - var valueline2 = d3.line() - .x(function(d) { return x(d.year); }) - .y(function(d) { return y(d.data); }); - - - -// // Add the valueline path. -// ml_svg.append("path") -// .data([data]) -// .attr("class", "line") -// .attr("d", valueline); -// // Add the valueline path. -// ml_svg.append("path") -// .data([data]) -// .attr("class", "line") -// .attr("d", valueline2); - - - - + d3.csv('/csv/social-data.csv').then(function(data){ + console.log(data) + + //x axis + var x = d3.scaleBand() + .domain(data.map(function(d) {return d.Year})) + .range([0, width]) + .padding(0.5) + social_svg.append("g") + .attr("transform", "translate(0, "+ height + ")") + .call(d3.axisBottom(x).tickFormat( + function(d) { + return d; + } + ).tickSize(8)) + .style("stroke-width", "1.5px") + .selectAll("text") + .style("text-anchor", "end") + .attr("dx", "-.8em") + .attr("dy", "-.60em") + .attr("transform", "rotate(-90)" ) + // .text("president"); + + // y axis + var y = d3.scaleLinear() + .domain([0, d3.max(data, function(d) { return d.Trillion; })]) + .range([height, 0]) + social_svg.append("g") + .call(d3.axisLeft(y).tickFormat(function(d) { + return d; + }).tickSize(3)) + .style("stroke-width", "1.5px") + + // bar chart + var barchart = social_svg.selectAll("bar") + .data(data) + .enter().append("rect") + + .attr("class", "bar") + .style("fill", "violet") + .attr("x", function(d) { return x(d.Year); }) + .attr("width", 20) + + .attr("y", function(d) { return y(d.Trillion); }) + .attr("height", function(d) { return height - y(d.Trillion); }) + + social_svg.append("text") + .attr("class", "x label") + .attr("text-anchor", "end") + .attr("x", width) + .attr("y", height) + .text("Year"); + + social_svg.append("text") + .attr("class", "y label") + .attr("text-anchor", "end") + .attr("y", 6) + .attr("dy", ".75em") + .attr("transform", "rotate(-90)") + .text("Spending in Trillions $"); + + }) + + // // X axis + // var ml_x = d3.scaleBand() + // .domain([1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017,2018,2019]) + // .range([0, width]); + // ml_svg.append("g") + // .attr("transform", "translate(0," + height + ")") + // .call(d3.axisBottom(ml_x).tickValues([1988,1990,1992,1994,1996,1998,2000,2002,2004,2006,2008,2010,2012,2014,2016,2018]).tickFormat(d3.format("d"))); + + // // Y axis + // var ml_y = d3.scaleLinear() + // .domain([0, 16]) + // .range([ height, 0 ]); + // ml_svg.append("g") + // .call(d3.axisLeft(ml_y)); + + // // Dots in place of line for now + // ml_svg.append('g') + // .selectAll("dot") + // .data(militaryData) + // .enter() + // .append("circle") + // .attr("cx", function (d) { return ml_x(d.year) }) + // .attr("cy", function (d) { return ml_y(d.data) }) + // .attr("r", 5 ) + // .style("fill", function(d) { return assignColor(d.country) }) /*** Social Line Graph ***/ // Append SVG - var sl_svg = d3.select("#social_line_vis") - .append("svg") - .attr("width", width + margin.left + margin.right) - .attr("height", height + margin.top + margin.bottom) - .append("g") - .attr("transform", - "translate(" + margin.left + "," + margin.top + ")"); + // var sl_svg = d3.select("#social_line_vis") + // .append("svg") + // .attr("width", width + margin.left + margin.right) + // .attr("height", height + margin.top + margin.bottom) + // .append("g") + // .attr("transform", + // "translate(" + margin.left + "," + margin.top + ")"); + + // // X axis + // var sl_x = d3.scaleBand() + // .domain([1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017,2018,2019]) + // .range([0, width]); + // sl_svg.append("g") + // .attr("transform", "translate(0," + height + ")") + // .call(d3.axisBottom(sl_x).tickValues([1990,1992,1994,1996,1998,2000,2002,2004,2006,2008,2010,2012,2014,2016,2018]).tickFormat(d3.format("d"))); + + // // Y axis + // var sl_y = d3.scaleLinear() + // .domain([0, 40]) + // .range([ height, 0 ]); + // sl_svg.append("g") + // .call(d3.axisLeft(sl_y)); + - // X axis - var sl_x = d3.scaleBand() - .domain([1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017,2018,2019]) - .range([0, width]); - sl_svg.append("g") - .attr("transform", "translate(0," + height + ")") - .call(d3.axisBottom(sl_x).tickValues([1990,1992,1994,1996,1998,2000,2002,2004,2006,2008,2010,2012,2014,2016,2018]).tickFormat(d3.format("d"))); - - // Y axis - var sl_y = d3.scaleLinear() - .domain([0, 40]) - .range([ height, 0 ]); - sl_svg.append("g") - .call(d3.axisLeft(sl_y)); - - // Dots in place of line for now - sl_svg.append('g') - .selectAll("dot") - .data(socialData) - .enter() - .append("circle") - .attr("cx", function (d) { return sl_x(d.year) }) - .attr("cy", function (d) { return sl_y(d.data) }) - .attr("r", 5 ) - .style("fill", function(d) { return assignColor(d.country) }) From cb42e842f073da4ffdaab7a36ff50a96963f4852 Mon Sep 17 00:00:00 2001 From: Danya Baron Date: Fri, 12 Mar 2021 10:49:39 -0500 Subject: [PATCH 08/57] added axes labels --- index.html | 92 +++++++++++------------------------------------------- 1 file changed, 19 insertions(+), 73 deletions(-) diff --git a/index.html b/index.html index a9dbc0bd..8d8dcd2c 100644 --- a/index.html +++ b/index.html @@ -20,9 +20,9 @@

USA Military Budget vs. Social Programs Budget

\ No newline at end of file From 6c660629dc12b4836e49e0cde817975367148193 Mon Sep 17 00:00:00 2001 From: Danya Baron Date: Fri, 12 Mar 2021 10:50:18 -0500 Subject: [PATCH 09/57] comment cleanup --- index.html | 31 +++---------------------------- 1 file changed, 3 insertions(+), 28 deletions(-) diff --git a/index.html b/index.html index 8d8dcd2c..b89db44a 100644 --- a/index.html +++ b/index.html @@ -24,32 +24,8 @@

USA Military Budget vs. Social Programs Budget

width = 600 - margin.left - margin.right, height = 500 - margin.top - margin.bottom; - // var colorDict = { - // Japan: "red", - // UnitedStates: "blue", - // France: "green", - // Italy: "yellow", - // Switzerland: "orange" - // }; - - // function assignColor (country) { - // switch (country) { - // case "United States": - // return colorDict.UnitedStates - // case "Japan": - // return colorDict.Japan - // case "France": - // return colorDict.France - // case "Italy": - // return colorDict.Italy - // case "Switzerland": - // return colorDict.Switzerland - // default: - // return "black" - // }; - // }; - - /*** Military Line Graph ***/ + + /*** Social Bar Grapj ***/ // Append SVG var social_svg = d3.select("#social_vis") @@ -82,7 +58,7 @@

USA Military Budget vs. Social Programs Budget

.attr("dx", "-.8em") .attr("dy", "-.60em") .attr("transform", "rotate(-90)" ) - // .text("president"); + social_svg.append("text") .attr("x", width/2) .attr("y", height + margin.bottom) @@ -122,7 +98,6 @@

USA Military Budget vs. Social Programs Budget

.attr("y", function(d) { return y(d.Trillion); }) .attr("height", function(d) { return height - y(d.Trillion); }) - }) From 1cdbd51a0deb35a33f6f9a438364fabd79fcdd72 Mon Sep 17 00:00:00 2001 From: Danya Baron Date: Fri, 12 Mar 2021 11:12:19 -0500 Subject: [PATCH 10/57] added some labelz --- csv/social-data.csv | 3 ++- index.html | 34 +++++++++++++++++++++++++++++++--- 2 files changed, 33 insertions(+), 4 deletions(-) diff --git a/csv/social-data.csv b/csv/social-data.csv index 39a40884..13eece34 100644 --- a/csv/social-data.csv +++ b/csv/social-data.csv @@ -14,4 +14,5 @@ Year,Social Spending,Trillion 2015,18.5,3.37 2016,18.5,3.46 2017,18.4,3.59 -2018,18.2,3.74 \ No newline at end of file +2018,18.2,3.74 +2019,18.7,4.00 \ No newline at end of file diff --git a/index.html b/index.html index b89db44a..962ba00e 100644 --- a/index.html +++ b/index.html @@ -20,8 +20,8 @@

USA Military Budget vs. Social Programs Budget

From a28e844ab6cc7624bcb8887cee53155cc5f2421a Mon Sep 17 00:00:00 2001 From: mollywirtz Date: Fri, 12 Mar 2021 16:12:31 -0500 Subject: [PATCH 11/57] change to unique variable names --- index.html | 28 ++++++++++++++-------------- 1 file changed, 14 insertions(+), 14 deletions(-) diff --git a/index.html b/index.html index 8d466e99..db25f890 100644 --- a/index.html +++ b/index.html @@ -14,32 +14,32 @@ diff --git a/style.css b/style.css index ea3eb575..f23b1c0e 100644 --- a/style.css +++ b/style.css @@ -4,11 +4,9 @@ body { font-weight: 400; } -#military_line_vis { - width: 700; - padding: 10; - /* display: inline-block; */ - margin-bottom: 20px; +line { + stroke-width: 1; + stroke: black; } #social_line_vis { From c5e2991ba9302b6d00979a96a99df32fb25924f0 Mon Sep 17 00:00:00 2001 From: Danya Baron Date: Sat, 13 Mar 2021 13:24:20 -0500 Subject: [PATCH 14/57] hover label isnt working --- index.html | 34 +++++++++++++++++++++++++++------- 1 file changed, 27 insertions(+), 7 deletions(-) diff --git a/index.html b/index.html index e8da37ac..8147be63 100644 --- a/index.html +++ b/index.html @@ -41,13 +41,13 @@

USA Military Budget vs. Social Programs Budget

console.log(data) //x axis - var x = d3.scaleBand() + var social_x = d3.scaleBand() .domain(data.map(function(d) {return d.Year})) .range([0, width]) .padding(0.5) social_svg.append("g") .attr("transform", "translate(0, "+ height + ")") - .call(d3.axisBottom(x).tickFormat( + .call(d3.axisBottom(social_x).tickFormat( function(d) { return d; } @@ -67,11 +67,11 @@

USA Military Budget vs. Social Programs Budget

.text("Years") // y axis - var y = d3.scaleLinear() + var social_y = d3.scaleLinear() .domain([0, d3.max(data, function(d) { return d.Trillion; })]) .range([height, 0]) social_svg.append("g") - .call(d3.axisLeft(y).tickFormat(function(d) { + .call(d3.axisLeft(social_y).tickFormat(function(d) { return d; }).tickSize(3)) .style("stroke-width", "1.5px") @@ -92,11 +92,31 @@

USA Military Budget vs. Social Programs Budget

.attr("class", "bar") .style("fill", "violet") - .attr("x", function(d) { return x(d.Year); }) + .attr("x", function(d) { return social_x(d.Year); }) .attr("width", 46) - .attr("y", function(d) { return y(d.Trillion); }) - .attr("height", function(d) { return height - y(d.Trillion); }) + .attr("y", function(d) { return social_y(d.Trillion); }) + .attr("height", function(d) { return height - social_y(d.Trillion); }) + .on("mouseover", function(d, i) { + d3.select(this) + .style("fill", "#93BEDF"); + social_svg.append("text") + .attr("x", social_x(i.Year)) + console.log(social_x(i.Year)) + .attr("y", 600) + + .attr("class", "hoverLabel") + .style("font-size", "14px") + .style("font-weight", "bold") + .text(i.Trillion + " $") + console.log(i.Trillion + " B"); + }) + .on("mouseout", function() { + d3.select(this) + .style("fill", "violet"); + social_svg.selectAll(".hoverLabel") + .remove() + }) // 2008 text From 18b9f3b1c978cab430e06fe915b184d11f1babac Mon Sep 17 00:00:00 2001 From: Danya Baron Date: Sat, 13 Mar 2021 15:41:22 -0500 Subject: [PATCH 15/57] got labels working --- index.html | 11 +++++------ 1 file changed, 5 insertions(+), 6 deletions(-) diff --git a/index.html b/index.html index 8147be63..07f5818b 100644 --- a/index.html +++ b/index.html @@ -14,7 +14,6 @@

USA Military Budget vs. Social Programs Budget

- - Final @@ -47,7 +46,16 @@

Military vs Social Programs

- [Wait until social is finished to write anything] + Below you can see the total social spending for the US from the past 17 years. +
[Talk abt social security (6.2% of income investopedia.com/retirement/social-security-faqs/)]
+ (is the majority really just for admisinistrative costs? confused https://www.ssa.gov/budget/)
+ + An important aspect to note is that unlike the military budget, which is reactionary and increases dramatically, + the budget for social programs responds only to inflation. This means that despite the multiple finanical crises + that have hit the United States in our lifetime, the governement does not offer additional economic support to + its citizens. + +
[Make another point that fits in here - coporate bailouts? banks in 2008 / airplanes in 2020? ]

@@ -131,7 +139,7 @@

Military vs Social Programs

.attr("class", "hoverLabel") .style("font-size", "14px") .style("font-weight", "bold") - .text(i.budget + " B"); + .text("$" + i.budget + " B"); }) .on("mouseout", function() { d3.select(this) @@ -328,14 +336,12 @@

Military vs Social Programs

.attr('y2', 120) - /*** Shared Variables ***/ - - var margin = {top: 90, right: 30, bottom: 70, left: 70}, - width = 1000 - margin.left - margin.right, - height = 500 - margin.top - margin.bottom; - /*** Social Bar Graph ***/ + var margin = {top: 10, right: 30, bottom: 60, left: 70}, + width = 1000 - margin.left - margin.right, + height = 520 - margin.top - margin.bottom; + // Append SVG var social_svg = d3.select("#social_vis") @@ -343,153 +349,124 @@

Military vs Social Programs

.attr("width", width + margin.left + margin.right) .attr("height", height + margin.top + margin.bottom) .append("g") - .attr("transform", - "translate(" + margin.left + "," + margin.top + ")"); + .attr("transform", "translate(" + margin.left + "," + margin.top + ")"); + + //x axis + var social_x = d3.scaleBand() + .domain([2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017,2018,2019]) + .range([0, width]) + .paddingInner(0.1); + social_svg.append("g") + .attr("transform", "translate(0," + height + ")") + .call(d3.axisBottom(social_x).tickValues([2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017,2018,2019]).tickFormat(d3.format("d"))); - d3.csv('/csv/social-data.csv').then(function(data){ - console.log(data) - - //x axis - var social_x = d3.scaleBand() - .domain(data.map(function(d) {return d.Year})) - .range([0, width]) - .padding(0.5) - social_svg.append("g") - .attr("transform", "translate(0, "+ height + ")") - .call(d3.axisBottom(social_x).tickFormat( - function(d) { - return d; - } - ).tickSize(8)) - .style("stroke-width", "1.5px") - .selectAll("text") - .style("text-anchor", "end") - .attr("dx", "-.8em") - .attr("dy", "-.60em") - .attr("transform", "rotate(-90)" ) + social_svg.append("text") + .attr("x", width/2) + .attr("y", height + margin.bottom) + .style("text-anchor", "middle") + .attr("class", "label") + .text("Years") - social_svg.append("text") - .attr("x", width/2) - .attr("y", height + margin.bottom) - .style("text-anchor", "middle") - .attr("class", "label") - .text("Years") - - // y axis - var social_y = d3.scaleLinear() - .domain([0, d3.max(data, function(d) { return d.Trillion; })]) - .range([height, 0]) - social_svg.append("g") - .call(d3.axisLeft(social_y).tickFormat(function(d) { - return d; - }).tickSize(3)) - .style("stroke-width", "1.5px") + // y axis + var social_y = d3.scaleLinear() + .domain([0, 6]) + .range([height, 0]) + social_svg.append("g") + .call(d3.axisLeft(social_y).tickFormat(function(d) { return d; }) + .tickSize(3)) + .style("stroke-width", "1.5px") + + social_svg.append("text") + .attr("y", 0 - margin.left) + .attr("x",0 - (height / 2)) + .attr("dy", "1em") + .attr("transform", "rotate(-90)") + .attr("class", "label") + .style("text-anchor", "middle") + .text("Total Social Spending in Trillions (USD)") - social_svg.append("text") - .attr("y", 0 - margin.left) - .attr("x",0 - (height / 2)) - .attr("dy", "1em") - .attr("transform", "rotate(-90)") - .attr("class", "label") - .style("text-anchor", "middle") - .text("Total Social Spending (Trillions)") + d3.csv('/csv/social-data.csv').then(function(data){ // bar chart var barchart = social_svg.selectAll("bar") .data(data) .enter().append("rect") - .attr("class", "bar") - .style("fill", "violet") + .style("fill", "#93BEDF") .attr("x", function(d) { return social_x(d.Year); }) - .attr("width", 46) - + .attr("width", social_x.bandwidth()) .attr("y", function(d) { return social_y(d.Trillion); }) .attr("height", function(d) { return height - social_y(d.Trillion); }) .on("mouseover", function(d, i) { d3.select(this) - .style("fill", "#93BEDF"); + .style("fill", "#6EAF73"); social_svg.append("text") .attr("x", social_x(i.Year)) - - .attr("y", 400) + .attr("y", 490) .attr("class", "hoverLabel") .style("font-size", "14px") .style("font-weight", "bold") - .text(" $" + i.Trillion + " trillion") - console.log(i.Trillion); - // console.log(i.Trillion + " B"); + .text("$" + i.Trillion + " T"); }) .on("mouseout", function() { d3.select(this) - .style("fill", "violet"); + .style("fill", "#93BEDF"); social_svg.selectAll(".hoverLabel") .remove() }) - // 2008 text + // 2008 text social_svg.append("text") - .attr("x", 230) + .attr("x", 220) .attr("y", 40) .attr("class", "label") .text("Stock Market Crash") social_svg.append("text") - .attr("x", 273) + .attr("x", 270) .attr("y", 60) .attr("class", "label") .text("(2008)") social_svg.append('line') - .attr('x1', 300) + .attr('x1', 290) .attr('y1', 70) - .attr('x2', 300) - .attr('y2', 110) - social_svg.append('line') - .attr('x1', 300) - .attr('y1', 110) - .attr('x2', 310) - .attr('y2', 110) - social_svg.append('line') - .attr('x1', 310) - .attr('y1', 110) - .attr('x2', 310) - .attr('y2', 135) - + .attr('x2', 290) + .attr('y2', 271) - // trade war text + // fiscal cliff text social_svg.append("text") - .attr("x", 730) - .attr("y", -30) + .attr("x", 470) + .attr("y", 40) .attr("class", "label") - .text("Trade War Begins") + .text("Fiscal Cliff") social_svg.append("text") - .attr("x", 760) - .attr("y", -10) + .attr("x", 485) + .attr("y", 60) .attr("class", "label") - .text("(2018)") + .text("(2012)") social_svg.append('line') - .attr('x1', 820) - .attr('y1', -20) - .attr('x2', 820) - .attr('y2', 23) - - // fiscal cliff text - social_svg.append("text") - .attr("x", 475) - .attr("y", 10) + .attr('x1', 505) + .attr('y1', 70) + .attr('x2', 505) + .attr('y2', 227) + + // trade war text + social_svg.append("text") + .attr("x", 760) + .attr("y", 40) .attr("class", "label") - .text("Fiscal Cliff") + .text("Trade War Begins") social_svg.append("text") - .attr("x", 475) - .attr("y", 30) + .attr("x", 800) + .attr("y", 60) .attr("class", "label") - .text("(2012)") + .text("(2018)") social_svg.append('line') - .attr('x1', 500) - .attr('y1', 34) - .attr('x2', 500) - .attr('y2', 85) + .attr('x1', 822) + .attr('y1', 70) + .attr('x2', 822) + .attr('y2', 170) From b5ddbc89f782d4e0aadd813779986c3376fd4d61 Mon Sep 17 00:00:00 2001 From: Molly Wirtz <45675564+MollyWirtz@users.noreply.github.com> Date: Sun, 14 Mar 2021 15:47:42 -0400 Subject: [PATCH 17/57] Update README.md --- README.md | 110 ++++++++++-------------------------------------------- 1 file changed, 20 insertions(+), 90 deletions(-) diff --git a/README.md b/README.md index 21afe8d5..11ef1c03 100755 --- a/README.md +++ b/README.md @@ -1,115 +1,45 @@ Final Project - Interactive Data Visualization === -The key learning experience of this course is the final project. -You will design a web site and interactive visualizations that answer questions you have or provide an exploratory interface to some topic of your own choosing. -You will acquire the data, design your visualizations, implement them, and critically evaluate the results. - -The path to a good visualization is going to involve mistakes and wrong turns. -It is therefore important to recognize that mistakes are valuable in finding the path to a solution, to broadly explore the design space, and to iterate designs to improve possible solutions. -To help you explore the design space, we will hold events such as feedback sessions in which you propose your idea and initial designs and receive feedback from the class and staff. - -Proposal ---- - -Submit project proposals using [this Google Form](https://docs.google.com/forms/d/e/1FAIpQLSc9DFlcClPArC1RKNFsXzfJfauZA57ksU85kT0hX2OEEDlxqw/viewform?usp=sf_link). -You may submit more than one proposal. -1-3 folks per team. - -Final Project Materials ---- -For your final project you must hand in the following items. - -### Process Book - -An important part of your project is your process book. Your process book details your steps in developing your solution, including the alternative designs you tried, and the insights you got. Develop your process book out of the project proposal. Equally important to your final results is how you got there! Your process book is the place you describe and document the space of possibilities you explored at each step of your project. It is not, however, a journal or lab notebook that describes every detail - you should think carefully about the important decisions you made and insights you gained and present your reasoning in a concise way. - -We strongly advise you to include many figures in your process book, including photos of your sketches of potential designs, screen shots from different visualization tools you explored, inspirations of visualizations you found online, etc. Several images illustrating changes in your design or focus over time will be far more informative than text describing those changes. Instead, use text to describe the rationale behind the evolution of your project. - -Your process book should include the following topics. Depending on your project type the amount of discussion you devote to each of them will vary: - -- Overview and Motivation: Provide an overview of the project goals and the motivation for it. Consider that this will be read by people who did not see your project proposal. -- Related Work: Anything that inspired you, such as a paper, a web site, visualizations we discussed in class, etc. -- Questions: What questions are you trying to answer? How did these questions evolve over the course of the project? What new questions did you consider in the course of your analysis? -- Data: Source, scraping method, cleanup, etc. -- Exploratory Data Analysis: What visualizations did you use to initially look at your data? What insights did you gain? How did these insights inform your design? -- Design Evolution: What are the different visualizations you considered? Justify the design decisions you made using the perceptual and design principles you learned in the course. Did you deviate from your proposal? -- Implementation: Describe the intent and functionality of the interactive visualizations you implemented. Provide clear and well-referenced images showing the key design and interaction elements. -- Evaluation: What did you learn about the data by using your visualizations? How did you answer your questions? How well does your visualization work, and how could you further improve it? - -As this will be your only chance to describe your project in detail make sure that your process book is a standalone document that fully describes your results and the final design. -[Here](http://dataviscourse.net/2015/assets/process_books/bansal_cao_hou.pdf) are a [few examples](http://dataviscourse.net/2015/assets/process_books/walsh_trevino_bett.pdf) of process books from a similar course final. - ### Project Website -You will create a public website for your project using GitHub pages or any other web hosting service of your choice. -The web site should contain your interactive visualization, summarize the main results of the project, and tell a story. -Consider your audience (the site should be public public) and keep the level of discussion at the appropriate level. -Your process book and data should be linked from the web site as well. -Also embed your interactive visualization and your screen-cast in your website. -If you are not able to publish your work (e.g., due to confidential data) please let us know in your project proposal. - -### Project Screen-Cast +### Screencast Video -Each team will create a two minute screen-cast with narration showing a demo of your visualization and/or some slides. -You can use any screencast tool of your choice, such as Camtasia. -Please make sure that the sound quality of your video is good - it may be worthwhile to invest in an external USB microphone. -Upload the video to an online video-platform such as YouTube or Vimeo and embed it into your project web page. -We will show some of the best videos in class. -We will strictly enforce the two minute time limit for the video, so please make sure you are not running longer. -Use principles of good storytelling and presentations to get your key points across. Focus the majority of your screencast on your main contributions rather than on technical details. -What do you feel is the best part of your project? -What insights did you gain? -What is the single most important thing you would like your audience to take away? Make sure it is front and center rather than at the end. - -Outside Libraries/References +Background --- -For this project you *do not* have to write everything from scratch. - -You may *reference* demo programs from books or the web, and *include* popular web libraries like Bootstrap, JQuery, Backbone, React, Meteor, etcetera. +### Objective +Given the economic upheaval of the past year, our team wanted to choose a project focusing on the financial spending of the government: specifically the difference between how the U.S. spends money on military endeavors versus social programs. -Please *do not* use libraries on top of d3, however. Libraries like nvd3.js look tempting, but such libraries often have poor defaults and result in poor visualizations. -Instead, draw from the numerous existing d3 examples on the web. +### Data +We sifted through multiple databases and other data sources to find the information necessary for our project. We changed courses a few times based on much data was available, how specific it was, and the points we were trying to convey to our reader. Although not all of the following data sources are represented in our final version, all of them were helpful in our research and understanding of this topic. -If you use outside sources please provide a References section with links at the end of your Readme. +[links here] +SIPRI
+OECD
+The Balance
+US Government Revenue
-Resources ---- -The "[Data is Plural](https://tinyletter.com/data-is-plural/archive)" weekly letter often contains interesting datasets. +For most of our data we had to employ some about of cleaning. This involving downloading spreadsheets or CSV files, selecting the data we wished to use, and converting into our desired format (CSV or JSON). -Think of something you're interested in, go find data on it! Include data processing as part of your work on this project. -Requirements +Visualizations --- +Our project website contains many sections. First, we felt it was important to convey our objectives for this project, as well as provided explanations of our visualizations and additional research to our user. + +Next we have our section on U.S. military spending, with a bar chart and a treemap. The bar chart shows data on the total military spending from 2003 - 2021 (2021 projected). Important events are denoted to give the user an informed idea of global events that impacted spending, and to clarify the y-values, the cost of each year is displayed under the x-axis when that bar is hovered on. To take a further look into U.S. budget, we have our tree map. [Explain more abt treemap when merged in] -Store the following in your GitHub repository: +Our next section focuses on U.S. social spending, and like the military section, contains a bar graph and a treemap. -- Code - All web site files and libraries assuming they are not too big to include -- Data - Include all the data that you used in your project. If the data is too large for github store it on a cloud storage provider, such as Dropbox or Yousendit. -- Process Book- Your Process Book in PDF format. -- README - The README file must give an overview of what you are handing in: which parts are your code, which parts are libraries, and so on. The README must contain URLs to your project websites and screencast videos. The README must also explain any non-obvious features of your interface. -GitHub Details +Code --- -- Fork the repo. You now have a copy associated with your username. -- Make changes to index.html to fulfill the project requirements. -- Make sure your "master" branch matches your "gh-pages" branch. See the GitHub Guides referenced above if you need help. -- Edit the README.md with a link to your gh-pages or other external site: for example http://YourUsernameGoesHere.github.io/DataVisFinal/index.html -- To submit, make a [Pull Request](https://help.github.com/articles/using-pull-requests/) on the original repository. -Grading ---- +- any libraries used? -- Process Book - Are you following a design process that is well documented in your process book? -- Solution - Is your visualization effective in answering your intended questions? Was it designed following visualization principles? -- Implementation - What is the quality of your implementation? Is it appropriately polished, robust, and reliable? -- Presentation - Are your web site and screencast clear, engaging, and effective? -Your individual project score will also be influenced by your peer evaluations. -References +Resources --- -- This final project is adapted from https://www.dataviscourse.net/2020/project/ From cacbf219e6adbc3040ae347a5a5bafaf05ea83ec Mon Sep 17 00:00:00 2001 From: Molly Wirtz <45675564+MollyWirtz@users.noreply.github.com> Date: Sun, 14 Mar 2021 15:48:20 -0400 Subject: [PATCH 18/57] Update README.md --- README.md | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index 11ef1c03..c020d7e5 100755 --- a/README.md +++ b/README.md @@ -15,11 +15,12 @@ Given the economic upheaval of the past year, our team wanted to choose a projec ### Data We sifted through multiple databases and other data sources to find the information necessary for our project. We changed courses a few times based on much data was available, how specific it was, and the points we were trying to convey to our reader. Although not all of the following data sources are represented in our final version, all of them were helpful in our research and understanding of this topic. -[links here] + SIPRI
OECD
The Balance
US Government Revenue
+[add sources for treemap if different] For most of our data we had to employ some about of cleaning. This involving downloading spreadsheets or CSV files, selecting the data we wished to use, and converting into our desired format (CSV or JSON). From 9b8f1bc75b9ac0ed3be7497ed1ce90e32969ca2d Mon Sep 17 00:00:00 2001 From: Molly Wirtz <45675564+MollyWirtz@users.noreply.github.com> Date: Sun, 14 Mar 2021 16:16:42 -0400 Subject: [PATCH 19/57] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index c020d7e5..c83d4c02 100755 --- a/README.md +++ b/README.md @@ -32,7 +32,7 @@ Our project website contains many sections. First, we felt it was important to c Next we have our section on U.S. military spending, with a bar chart and a treemap. The bar chart shows data on the total military spending from 2003 - 2021 (2021 projected). Important events are denoted to give the user an informed idea of global events that impacted spending, and to clarify the y-values, the cost of each year is displayed under the x-axis when that bar is hovered on. To take a further look into U.S. budget, we have our tree map. [Explain more abt treemap when merged in] Our next section focuses on U.S. social spending, and like the military section, contains a bar graph and a treemap. - +[will come back to] Code --- From 41061ade0fb3f2390c9b831d83d64b7189bdb5c5 Mon Sep 17 00:00:00 2001 From: mollywirtz Date: Sun, 14 Mar 2021 19:23:37 -0400 Subject: [PATCH 20/57] working dark/light toggle --- README.md | 1 + index.html | 43 +++++++++++++++++++++++++----- style.css | 78 +++++++++++++++++++++++++++++++++++++++++++++++++++++- 3 files changed, 114 insertions(+), 8 deletions(-) diff --git a/README.md b/README.md index c83d4c02..bbc06df0 100755 --- a/README.md +++ b/README.md @@ -43,4 +43,5 @@ Code Resources --- +https://www.w3schools.com/howto/howto_css_switch.asp diff --git a/index.html b/index.html index d0e524b2..e956d33d 100644 --- a/index.html +++ b/index.html @@ -9,11 +9,19 @@ Final - +

United States Spending

Military vs Social Programs

+ + + + Light/Dark Toggle +

Over the past 20 years, the United States has faced some of the worst economic crises in history. @@ -72,14 +80,14 @@

Military vs Social Programs

- \ No newline at end of file diff --git a/style.css b/style.css index 3492c5d3..6a70872a 100644 --- a/style.css +++ b/style.css @@ -1,6 +1,7 @@ body { text-align: center; font-family: 'Shippori Mincho', serif; + transition: 1s; } .light { @@ -131,4 +132,4 @@ input:checked + .slider:before { -webkit-transform: translateX(20px); -ms-transform: translateX(20px); transform: translateX(20px); -} \ No newline at end of file +} From 0502aec59ae4cda0ba1845bf7d166643073ae9d1 Mon Sep 17 00:00:00 2001 From: Molly Wirtz <45675564+MollyWirtz@users.noreply.github.com> Date: Sun, 14 Mar 2021 20:22:57 -0400 Subject: [PATCH 22/57] Update README.md --- README.md | 12 +++++++++++- 1 file changed, 11 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index bbc06df0..9231d09a 100755 --- a/README.md +++ b/README.md @@ -36,9 +36,19 @@ Our next section focuses on U.S. social spending, and like the military section, Code --- +- any libraries used? -- any libraries used? + +Achievements +--- +### Design +- Consistantly ssed a color scheme appropriate to the subject matter (https://visme.co/blog/how-to-choose-a-color-scheme/) + +### Technical +- Implemented a light / dark theme option using CSS and a stylized input checkbox located in the top right corner of the page +- Created interactive bar charts, changing colors of bars and including the amounts on each hover +- Made a zoomable treemap to display multiple "nested" treemaps Resources From 27a648d93c2f9405114ed7879fd73c0689bd249c Mon Sep 17 00:00:00 2001 From: Molly Wirtz <45675564+MollyWirtz@users.noreply.github.com> Date: Mon, 15 Mar 2021 12:05:11 -0400 Subject: [PATCH 23/57] Update README.md --- README.md | 20 +++++++++++++++----- 1 file changed, 15 insertions(+), 5 deletions(-) diff --git a/README.md b/README.md index 9231d09a..6d3b2f6f 100755 --- a/README.md +++ b/README.md @@ -31,19 +31,27 @@ Our project website contains many sections. First, we felt it was important to c Next we have our section on U.S. military spending, with a bar chart and a treemap. The bar chart shows data on the total military spending from 2003 - 2021 (2021 projected). Important events are denoted to give the user an informed idea of global events that impacted spending, and to clarify the y-values, the cost of each year is displayed under the x-axis when that bar is hovered on. To take a further look into U.S. budget, we have our tree map. [Explain more abt treemap when merged in] -Our next section focuses on U.S. social spending, and like the military section, contains a bar graph and a treemap. -[will come back to] +Our next section focuses on U.S. social spending, and like the military section, contains a bar graph and a treemap. The bar chart shows the total spending of the U.S. government on social programs, such as social security, education, and healthcare. Events that significantly impacted American's financial state, such as the 2008 stock market crash, have been donated above the years they occur similarly to our other bar graph. This graph also made to be interactive by changing color and showing the cost per year of the bar when hovered on. To look more in-depth at the United States' social spending, we have a treemap. [Explain more abt treemap when merged in] Code --- -- any libraries used? +The majority of our code can be found in our index.html file, which is commented and organized by graph and feature. +### Libraries +We did not use any additional libraries for this project, apart from d3. [Unless you did roman?] + +### Features +Apart from our four visualizations, we have some additional features, many of which are included below in the achievements section. + +First, we have an optional light / dark theme, which users can toggle using the switch in the upper right corner. These themes, which are true to our color palette, allow the user to interact with our site in a unique way, and includes a gentle CSS transition. All parts of this page comply to selected theme, including the d3 elements. + +[Add more as we add in features, if any] Achievements --- ### Design -- Consistantly ssed a color scheme appropriate to the subject matter (https://visme.co/blog/how-to-choose-a-color-scheme/) +- Consistently used a color scheme appropriate to the subject matter, as researched with resource 1 ### Technical - Implemented a light / dark theme option using CSS and a stylized input checkbox located in the top right corner of the page @@ -53,5 +61,7 @@ Achievements Resources --- -https://www.w3schools.com/howto/howto_css_switch.asp +[1] https://visme.co/blog/how-to-choose-a-color-scheme/
+[2] https://www.w3schools.com/howto/howto_css_switch.asp
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z5vH_M!5QLu$7c+e>O_^0+m>)WScbI4_yJca6VFs^;S)$=jlQAB;+jwKkJ=4dX@&E& zs)It~YS-o^1K?P6sDo)j$w~B~vh>fugyaY`Jw5FZc{)6zGlam| zDW8RJ-rQUk?R&i@*!4JVhlZ5Inhr(S;*TdR(u1N|<==7S-(3vBokE3$sDM9HH~`3j zHr9hK+F(Uz3pM0~`gGUp%Y~mY#(CuPw*)bPAjbo+VAdE>65{14Kf^U5k;E_rDVWh3 zp8mBJ{Yfoe{1-U zm!~Ae!w}Os%~sk!`TAemRyYxrbQIU|FD5-7LQ&EZtq61mKKmsQB1Q}cV15?PHBa`J zasO><6BH53Rc{6%(0^e8laQZbI4IMilitary vs Social Programs

- Below you can see the total social spending for the US from the past 17 years. -
[Talk abt social security (6.2% of income investopedia.com/retirement/social-security-faqs/)]
- (is the majority really just for admisinistrative costs? confused https://www.ssa.gov/budget/)
- - An important aspect to note is that unlike the military budget, which is reactionary and increases dramatically, - the budget for social programs responds only to inflation. This means that despite the multiple finanical crises - that have hit the United States in our lifetime, the governement does not offer additional economic support to - its citizens. - -
[Make another point that fits in here - coporate bailouts? banks in 2008 / airplanes in 2020? ] + Below you can see the total social spending for the US from the past 17 years. An important aspect to note + is that unlike the military budget, which is reactionary and increases dramatically, the budget for social + programs responds only to inflation. This means that despite the multiple financial crises that have hit the + United States in our lifetime, the government does not offer additional economic support to its citizens. + This is in stark contrast to the U.S. government’s history of corporate bailouts, which occur in amounts + of billions to trillions of dollars, and a luxury only afforded to Americans recently at the height of the + pandemic [8].

@@ -76,6 +73,8 @@

Military vs Social Programs

[5] [6] [7] + [8] + From fa4df21953653954faee2666be108c6a96c386fb Mon Sep 17 00:00:00 2001 From: mollywirtz Date: Mon, 15 Mar 2021 12:25:01 -0400 Subject: [PATCH 25/57] add images to readme --- README.md | 11 ++++++++++- assets/dark.png | Bin 0 -> 222749 bytes assets/light.png | Bin 0 -> 221063 bytes assets/military_bar.png | Bin 0 -> 52599 bytes assets/social_bar.png | Bin 0 -> 42317 bytes 5 files changed, 10 insertions(+), 1 deletion(-) create mode 100644 assets/dark.png create mode 100644 assets/light.png create mode 100644 assets/military_bar.png create mode 100644 assets/social_bar.png diff --git a/README.md b/README.md index 6d3b2f6f..03539125 100755 --- a/README.md +++ b/README.md @@ -31,8 +31,14 @@ Our project website contains many sections. First, we felt it was important to c Next we have our section on U.S. military spending, with a bar chart and a treemap. The bar chart shows data on the total military spending from 2003 - 2021 (2021 projected). Important events are denoted to give the user an informed idea of global events that impacted spending, and to clarify the y-values, the cost of each year is displayed under the x-axis when that bar is hovered on. To take a further look into U.S. budget, we have our tree map. [Explain more abt treemap when merged in] +military bar graph + + Our next section focuses on U.S. social spending, and like the military section, contains a bar graph and a treemap. The bar chart shows the total spending of the U.S. government on social programs, such as social security, education, and healthcare. Events that significantly impacted American's financial state, such as the 2008 stock market crash, have been donated above the years they occur similarly to our other bar graph. This graph also made to be interactive by changing color and showing the cost per year of the bar when hovered on. To look more in-depth at the United States' social spending, we have a treemap. [Explain more abt treemap when merged in] +social bar graph + + Code --- The majority of our code can be found in our index.html file, which is commented and organized by graph and feature. @@ -43,7 +49,9 @@ We did not use any additional libraries for this project, apart from d3. [Unless ### Features Apart from our four visualizations, we have some additional features, many of which are included below in the achievements section. -First, we have an optional light / dark theme, which users can toggle using the switch in the upper right corner. These themes, which are true to our color palette, allow the user to interact with our site in a unique way, and includes a gentle CSS transition. All parts of this page comply to selected theme, including the d3 elements. +First, we have an optional light / dark theme, which users can toggle using the switch in the upper right corner. These themes, which are true to our color palette, allow the user to interact with our site in a unique way, and includes a gentle CSS transition. All parts of this page comply to selected theme, including the d3 elements. Below are examples of this light/dark option. +light theme +dark theme [Add more as we add in features, if any] @@ -52,6 +60,7 @@ Achievements --- ### Design - Consistently used a color scheme appropriate to the subject matter, as researched with resource 1 +color scheme ### Technical - Implemented a light / dark theme option using CSS and a stylized input checkbox located in the top right corner of the page diff --git a/assets/dark.png b/assets/dark.png new file mode 100644 index 0000000000000000000000000000000000000000..c80edcc93b6688af1c586f3f19e568164e455344 GIT binary patch literal 222749 zcma&O2UJtb_clzC4uT>eC`A+y5Rfh<6j6$TC4J`!3LJu7R zp+xB+1O$>G{fqZrz4!Njb*;~}z~h-SGkbQK+2t8uJ$#@>N6kh}L_|cVp?*h)h=>eK zL`2F)NltiETU@S1L_{3wprZ0nLq&z_p@*BTgR>10(e-#MbMrFw8`pa*EX>V&V1oSA z9==6L-O>kXvPW%xqI^mvsFWiHfvdr;K7#Uc)u8x>~2Wh@rMxXV3d#qQbKm+!z)WDZ*UL zFUZ9*^k)pbH{X5{7S=+2C8aJa%pw{<8sT^IwkAkwSYwOzqR%syYs@?!*oVHqdCt&r z3pPdhVdbf%xjA(2^wdt0oE)z~OB=#>a(Ws#a(WuVLW&_U)18ZgsBzp0bYtq{cY;Xt 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z<~n*P)vk}wjRXbL8Ek9+L0UepUembw2T$-1j1@?I%7pEP20)mEe8_-*WB>xl0O-6Z z2f3!t!XAc1Z@W9;(H=f%T8yc!JdU zi9PS*MT2KRzc!d#P#tT=2D?%pNQ*8lExmOdhP6*XE<@UxhtO!e=h^_)d2$FPg~F}b z;dq5Ob~7{ig_lVN*ybz*;bXoN1w8|K

Military vs Social Programs

.style("text-anchor", "middle") .text("Total Social Spending in Trillions (USD)") - d3.csv('/csv/social-data.csv').then(function(data){ - - // bar chart - var barchart = social_svg.selectAll("bar") - .data(data) - .enter().append("rect") + social_svg.selectAll("bar") + .data(socialData) + .enter() + .append("rect") .attr("class", "bar") .style("fill", "#93BEDF") - .attr("x", function(d) { return social_x(d.Year); }) + .attr("x", function(d) { return social_x(d.year); }) .attr("width", social_x.bandwidth()) - .attr("y", function(d) { return social_y(d.Trillion); }) - .attr("height", function(d) { return height - social_y(d.Trillion); }) + .attr("y", function(d) { return social_y(d.trillion); }) + .attr("height", function(d) { return height - social_y(d.trillion); }) .on("mouseover", function(d, i) { d3.select(this) .style("fill", "#6EAF73"); social_svg.append("text") - .attr("x", social_x(i.Year)) + .attr("x", social_x(i.year)) .attr("y", 490) .attr("class", "hoverLabel") .style("fill", function(d) { @@ -422,7 +421,7 @@

Military vs Social Programs

}) .style("font-size", "14px") .style("font-weight", "bold") - .text("$" + i.Trillion + " T"); + .text("$" + i.trillion + " T"); }) .on("mouseout", function() { d3.select(this) @@ -431,7 +430,6 @@

Military vs Social Programs

.remove() }) - // 2008 text social_svg.append("text") .attr("x", 220) @@ -482,7 +480,7 @@

Military vs Social Programs

.attr('y1', 70) .attr('x2', 822) .attr('y2', 170) - }) + // }) /*** Light / Dark Slider ***/ var slider = document.getElementById("sliderId") diff --git a/json/socialJson.js b/json/socialJson.js new file mode 100644 index 00000000..25cfbd5f --- /dev/null +++ b/json/socialJson.js @@ -0,0 +1,87 @@ +let socialData = [ + { + year: 2003, + social_spending: 15.8, + trillion: 1.81 + }, + { + year: 2004, + social_spending: 15.7, + trillion: 1.92 + }, + { + year: 2005, + social_spending: 15.5, + trillion: 2.02 + }, + { + year: 2006, + social_spending: 15.5, + trillion: 2.14 + }, + { + year: 2007, + social_spending: 15.7, + trillion: 2.27 + }, + { + year: 2008, + social_spending: 16.3, + trillion: 2.39 + }, + { + year: 2009, + social_spending: 18.4, + trillion: 2.66 + }, + { + year: 2010, + social_spending: 19.1, + trillion: 2.86 + }, + { + year: 2011, + social_spending: 18.8, + trillion: 2.92 + }, + { + year: 2012, + social_spending: 18.5, + trillion: 2.99 + }, + { + year: 2013, + social_spending: 18.5, + trillion: 3.1 + }, + { + year: 2014, + social_spending: 18.5, + trillion: 3.24 + }, + { + year: 2015, + social_spending: 18.5, + trillion: 3.37 + }, + { + year: 2016, + social_spending: 18.5, + trillion: 3.46 + }, + { + year: 2017, + social_spending: 18.4, + trillion: 3.59 + }, + { + year: 2018, + social_spending: 18.2, + trillion: 3.74 + }, + { + year: 2019, + social_spending: 18.7, + trillion: 4.00 + }, +] \ No newline at end of file From e8ae3a1c24c09cd34dde42acbf103dd2f5b20974 Mon Sep 17 00:00:00 2001 From: Danya Baron Date: Mon, 15 Mar 2021 17:35:36 -0400 Subject: [PATCH 29/57] added text --- index.html | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/index.html b/index.html index d0e524b2..1b0d7a56 100644 --- a/index.html +++ b/index.html @@ -52,9 +52,12 @@

Military vs Social Programs

An important aspect to note is that unlike the military budget, which is reactionary and increases dramatically, the budget for social programs responds only to inflation. This means that despite the multiple finanical crises - that have hit the United States in our lifetime, the governement does not offer additional economic support to + that have hit the United States in our lifetime, the government does not offer additional economic support to its citizens. + During the Great Recession in 2008, many people needed important social spending, as there was an overall economic crisis. + +
[Make another point that fits in here - coporate bailouts? banks in 2008 / airplanes in 2020? ]

From 925426b1e858423713cb5e0a4869f92adca9e499 Mon Sep 17 00:00:00 2001 From: Roman Wicky van Doyer Date: Mon, 15 Mar 2021 17:35:59 -0400 Subject: [PATCH 30/57] Add files via upload --- json/totalSpending2017.js | 68 +++++++++++++++++++++++++++++++++++++++ json/totalSpending2018.js | 68 +++++++++++++++++++++++++++++++++++++++ json/totalSpending2019.js | 68 +++++++++++++++++++++++++++++++++++++++ 3 files changed, 204 insertions(+) create mode 100644 json/totalSpending2017.js create mode 100644 json/totalSpending2018.js create mode 100644 json/totalSpending2019.js diff --git a/json/totalSpending2017.js b/json/totalSpending2017.js new file mode 100644 index 00000000..d49a14ca --- /dev/null +++ b/json/totalSpending2017.js @@ -0,0 +1,68 @@ +let json2017 = [ + { + country: "USA", + spending: 646.7, + parent: 2017 + }, + { + country: "China", + spending: 228.4, + parent: 2017 + }, + { + country: "India", + spending: 64.5, + parent: 2017 + }, + { + country: "Russia", + spending: 66.5, + parent: 2017 + }, + { + country: "Saudi Arabia", + spending: 70.4, + parent: 2017 + }, + { + country: "France", + spending: 49.1, + parent: 2017 + }, + { + country: "Germany", + spending: 42.3, + parent: 2017 + }, + { + country: "UK", + spending: 46.4, + parent: 2017 + }, + { + country: "Japan", + spending: 45.3, + parent: 2017 + }, + { + country: "South Korea", + spending: 39.1, + parent: 2017 + }, + { + country: "Australia", + spending: 27.6, + parent: 2017 + }, + { + country: "Brazil", + spending: 45.3, + parent: 2017 + }, + { + country: "Italy", + spending: 26.4, + parent: 2017 + } + +] diff --git a/json/totalSpending2018.js b/json/totalSpending2018.js new file mode 100644 index 00000000..ffc1930c --- /dev/null +++ b/json/totalSpending2018.js @@ -0,0 +1,68 @@ +let json2018 = [ + { + country: "USA", + spending: 682.4, + parent: 2018 + }, + { + country: "China", + spending: 253.4, + parent: 2018 + }, + { + country: "India", + spending: 66.2, + parent: 2018 + }, + { + country: "Russia", + spending: 61.3, + parent: 2018 + }, + { + country: "Saudi Arabia", + spending: 74.4, + parent: 2018 + }, + { + country: "France", + spending: 51.4, + parent: 2018 + }, + { + country: "Germany", + spending: 46.5, + parent: 2018 + }, + { + country: "UK", + spending: 49.8, + parent: 2018 + }, + { + country: "Japan", + spending: 46.6, + parent: 2018 + }, + { + country: "South Korea", + spending: 43.9, + parent: 2018 + }, + { + country: "Australia", + spending: 26.8, + parent: 2018 + }, + { + country: "Brazil", + spending: 28.1, + parent: 2018 + }, + { + country: "Italy", + spending: 27.8, + parent: 2018 + } + +] diff --git a/json/totalSpending2019.js b/json/totalSpending2019.js new file mode 100644 index 00000000..e8fdf487 --- /dev/null +++ b/json/totalSpending2019.js @@ -0,0 +1,68 @@ +let json2019 = [ + { + country: "USA", + spending: 732.0, + parent: 2019 + }, + { + country: "China", + spending: 261, + parent: 2019 + }, + { + country: "India", + spending: 71.1, + parent: 2019 + }, + { + country: "Russia", + spending: 65.1, + parent: 2019 + }, + { + country: "Saudi Arabia", + spending: 61.9, + parent: 2019 + }, + { + country: "France", + spending: 50.1, + parent: 2019 + }, + { + country: "Germany", + spending: 49.3, + parent: 2019 + }, + { + country: "UK", + spending: 48.7, + parent: 2019 + }, + { + country: "Japan", + spending: 47.6, + parent: 2019 + }, + { + country: "South Korea", + spending: 43.0, + parent: 2019 + }, + { + country: "Australia", + spending: 25.9, + parent: 2019 + }, + { + country: "Brazil", + spending: 26.9, + parent: 2019 + }, + { + country: "Italy", + spending: 26.7, + parent: 2019 + } + +] From 559189574a17b1e7b9de637edb45c1caf0844276 Mon Sep 17 00:00:00 2001 From: Roman Wicky van Doyer Date: Mon, 15 Mar 2021 17:37:11 -0400 Subject: [PATCH 31/57] Update backend.js --- backend.js | 758 ++++++++++++++++++++++++++++++++++++++++++++++++++++- 1 file changed, 757 insertions(+), 1 deletion(-) diff --git a/backend.js b/backend.js index 5d77934d..50266a15 100644 --- a/backend.js +++ b/backend.js @@ -1,3 +1,759 @@ function main(){ + let selector = "2019"; -} \ No newline at end of file + + let submitSelect = document.getElementById("select"); + submitSelect.addEventListener("change", function(d){ + selector = (submitSelect.options[submitSelect.selectedIndex].text); + console.log(selector); + createTreeMap(selector); + createPieChart(selector); + }) + + + createTreeMap(selector); + createPieChart(selector); + animatedLineGraph(); + + function createPieChart(selector){ + d3.select("#svgPie").remove(); + + let margin = {top: 100, right: 100, bottom: 10, left: 100}, + width = 945 - margin.left - margin.right, + height = 445 - margin.top - margin.bottom; + + // append the svg object to the body of the page + let svg = d3.select("#piechart") + .append("svg").attr("id", "svgPie") + .attr("width", width + margin.left + margin.right) + .attr("height", height + margin.top + margin.bottom) + .append("g") + .attr("transform", + "translate(" + margin.left + "," + margin.top + ")"); + + + let data; + //Only showing top 4 military powerhouses + if(selector === "2017"){ + data = [{country: "USA", value: 646.7},{country: "CHINA", value: 228.4},{country: "INDIA", value: 64.5},{country: "RUSSIA", value: 66.5}] + } + if(selector === "2018"){ + data = [{country: "USA", value: 682.4},{country: "CHINA", value: 253.4},{country: "INDIA", value: 66.2},{country: "RUSSIA", value: 61.3}] + + }if(selector === "2019"){ + data = [{country: "USA", value: 732},{country: "CHINA", value: 261},{country: "INDIA", value: 71.1},{country: "RUSSIA", value: 65.1}] + } + + console.log(data); + + // Creating Pie generator + let pie = d3.pie() + .value(function(d) { return d.value;}); + + // Creating arc + let radius = 200; + let arc = d3.arc() + .innerRadius(0) + .outerRadius(radius - 10); + + let g = svg.append("g") + .attr("transform", "translate(150,120)"); + + // Grouping different arcs + let arcs = g.selectAll("arc") + .data(pie(data)) + .enter() + .append("g"); + + // Appending path + arcs.append("path") + .attr("fill", (data)=> { + let value = data.data.country; + return setColorPie(value) + }) + .attr("stroke", "black") + .attr("d", arc); + + // Adding data to each arc + + arcs.append("text") + .attr("transform",(d)=>{ + let _d = arc.centroid(d); + _d[0] *= 2.3; //multiply by a constant factor + _d[1] *= 2.3; //multiply by a constant factor + return "translate(" + _d + ")"; + }) + .attr("dy", ".50em") + .style("text-anchor", "middle") + .text(function(d){ + return d.data.country; + }); + + } + + + function createTreeMap(selector){ + + d3.select("#svgTreemap").remove(); + + let margin = {top: 10, right: 10, bottom: 10, left: 10}, + width = 845 - margin.left - margin.right, + height = 845 - margin.top - margin.bottom; + + // append the svg object to the body of the page + let svg = d3.select("#treemap") + .append("svg").attr("id", "svgTreemap") + .attr("width", width + margin.left + margin.right) + .attr("height", height + margin.top + margin.bottom) + .append("g") + .attr("transform", + "translate(" + margin.left + "," + margin.top + ")"); + + let data; + if(selector === "2017"){ + data = "csv/totalspending2017.js" + } + if(selector === "2018"){ + data = "csv/totalspending2018.js" + + }if(selector === "2019"){ + data = "csv/totalspending2019.js" + } + + // stratify the data: reformatting for d3.js + let root = d3.stratify() + .id(function(d) { return d.country; }) // Name of the entity (column name is name in csv) + .parentId(function(d) { return d.parent; }) // Name of the parent (column name is parent in csv) + (data); + root.sum(function(d) { return +d.spending}) // Compute the numeric value for each entity + + // Then d3.treemap computes the position of each element of the hierarchy + // The coordinates are added to the root object above + d3.treemap() + .size([width, height]) + .padding(2) + (root) + + console.log(root.leaves()) + // use this information to add rectangles: + svg + .selectAll("rect") + .data(root.leaves()) + .enter() + .append("rect") + .attr('x', function (d) { return d.x0; }) + .attr('y', function (d) { return d.y0; }) + .attr('width', function (d) { return d.x1 - d.x0; }) + .attr('height', function (d) { return d.y1 - d.y0; }) + .style("stroke", "black") + .style("fill", function(d){ return setColor(d.data.country)}); + + // and to add the text labels + svg + .selectAll("text") + .data(root.leaves()) + .enter() + .append("text") + .attr("x", function(d){ return d.x0 + 1}) // +10 to adjust position (more right) + .attr("y", function(d){ return d.y0 + 20}) // +20 to adjust position (lower) + .text(function(d){ return d.data.country + " " + d.data.spending}) + .attr("font-size", "10px") + .attr("fill", "black") + + } + + function animatedLineGraph(){ + + let resetButton = document.getElementById("resetbutton"); + resetButton.addEventListener("click", function(){ + d3.select("#svgLine").remove(); + animatedLineGraph(); + }) + + let data = [ + { + year: 2000, + value: 320 + }, + { + year: 2001, + value: 331.8 + }, + { + year: 2002, + value: 378.4 + }, + { + year: 2003, + value: 440.5 + }, + { + year: 2004, + value: 492.9 + }, + { + year: 2005, + value: 533.2 + }, + { + year: 2006, + value: 558.3 + }, + { + year: 2007, + value: 589.5 + }, + { + year: 2008, + value: 656.7 + }, + { + year: 2009, + value: 705.9 + }, + { + year: 2010, + value: 738 + }, + { + year: 2011, + value: 752.2 + }, + { + year: 2012, + value: 725.5 + }, + { + year: 2013, + value: 679.2 + }, + { + year: 2014, + value: 647.7 + }, + { + year: 2015, + value: 633.8 + }, + { + year: 2016, + value: 639.8 + }, + { + year: 2017, + value: 646.7 + }, + { + year: 2018, + value: 682.4 + }, + { + year: 2019, + value: 732 + } + ] + + const svg = d3 + .select("#linegraph") + .append("svg") + .attr("height", 300) + .attr("id", "svgLine") + .attr("width", 600); + const margin = { top: 0, bottom: 20, left: 30, right: 20 }; + const chart = svg.append("g").attr("transform", `translate(${margin.left},0)`); + const width = +svg.attr("width") - margin.left - margin.right; + const height = +svg.attr("height") - margin.top - margin.bottom; + const grp = chart + .append("g") + .attr("transform", `translate(-${margin.left},-${margin.top})`); + + const yScale = d3 + .scaleLinear() + .range([height, 0]) + .domain([0, d3.max(data, dataPoint => dataPoint.value) + 100]); + const xScale = d3 + .scaleBand() + .range([0, width]) + .domain([2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017,2018,2019]); + + const line = d3 + .line() + .x(dataPoint => xScale(dataPoint.year)) + .y(dataPoint => yScale(dataPoint.value)); + + // Add path + const path = grp + .append("path") + .attr("transform", `translate(${margin.left},0)`) + .datum(data) + .attr("fill", "none") + .attr("stroke", "#8edb95") + .attr("stroke-linejoin", "round") + .attr("stroke-linecap", "round") + .attr("stroke-width", 2.5) + .attr("d", line); + + const pathLength = path.node().getTotalLength(); + // D3 provides lots of transition options, have a play around here: + // https://github.com/d3/d3-transition + const transitionPath = d3 + .transition() + .ease(d3.easeSin) + .duration(2500); + + path + .attr("stroke-dashoffset", pathLength) + .attr("stroke-dasharray", pathLength) + .transition(transitionPath) + .attr("stroke-dashoffset", 0); + + // Add the X Axis + chart + .append("g") + .attr("transform", `translate(0,${height})`) + .call(d3.axisBottom(xScale).ticks(data.length)); + // Add the Y Axis + chart + .append("g") + .attr("transform", `translate(0, 0)`) + .call(d3.axisLeft(yScale)); + + } + + + function setColor(country){ + switch(country) { + case "USA": + return "#078553"; + break; + default: + return "#8edb95" + } + + } + + function setColorPie(key){ + switch(key) { + case "USA": + return "#078553"; + break; + default: + return "#8edb95" + } + } + + let ml_margin = {top: 10, right: 30, bottom: 60, left: 70}, + ml_width = 1000 - ml_margin.left - ml_margin.right, + ml_height = 520 - ml_margin.top - ml_margin.bottom; + + // Append SVG + let ml_svg = d3.select("#military_line_vis") + .append("svg") + .attr("width", ml_width + ml_margin.left + ml_margin.right) + .attr("height", ml_height + ml_margin.top + ml_margin.bottom) + .append("g") + .attr("transform", + "translate(" + ml_margin.left + "," + ml_margin.top + ")"); + + // X axis + let ml_x = d3.scaleBand() + .domain([2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017,2018,2019,2020,2021]) + .range([0, ml_width]) + .paddingInner(0.1); + ml_svg.append("g") + .attr("transform", "translate(0," + ml_height + ")") + .call(d3.axisBottom(ml_x).tickValues([2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017,2018,2019,2020,2021]).tickFormat(d3.format("d"))); + ml_svg.append("text") + .attr("x", ml_width/2) + .attr("y", ml_height + ml_margin.bottom) + .style("text-anchor", "middle") + .attr("class", "label") + .text("Years") + + // Y axis + let ml_y = d3.scaleLinear() + .domain([300, 1100]) + .range([ ml_height, 0 ]); + ml_svg.append("g") + .call(d3.axisLeft(ml_y)); + ml_svg.append("text") + .attr("y", 0 - ml_margin.left) + .attr("x",0 - (ml_height / 2)) + .attr("dy", "1em") + .attr("transform", "rotate(-90)") + .attr("class", "label") + .style("text-anchor", "middle") + .text("Total Military Spending in Billions (USD)") + + // Bars + ml_svg.selectAll("bar") + .data(militaryData) + .enter() + .append("rect") + .attr("x", function (d) { return ml_x(d.year) }) + .attr("y", function (d) { return ml_y(d.budget) }) + .attr("width", ml_x.bandwidth()) + .attr("height", function(d) { return ml_height - ml_y(d.budget) }) + .style("padding", "5px") + .style("fill", "#6EAF73") + .on("mouseover", function(d, i) { + d3.select(this) + .style("fill", "#93BEDF"); + ml_svg.append("text") + .attr("x", ml_x(i.year)) + .attr("y", 490) + .attr("class", "hoverLabel") + .style("font-size", "14px") + .style("font-weight", "bold") + .style("fill", function(d) { + if (document.getElementById("body").className === "dark") return "#F9F9F9" + else return "#373E40" + }) + .text("$" + i.budget + " B"); + }) + .on("mouseout", function() { + d3.select(this) + .style("fill", "#6EAF73"); + ml_svg.selectAll(".hoverLabel") + .remove() + }) + + // 2003 text + ml_svg.append("text") + .attr("x", 53) + .attr("y", 20) + .attr("class", "label") + .text("Start of") + ml_svg.append("text") + .attr("x", 50) + .attr("y", 40) + .attr("class", "label") + .text("Iraq War") + ml_svg.append("text") + .attr("x", 53) + .attr("y", 60) + .attr("class", "label") + .text("(2003)") + ml_svg.append('line') + .attr('x1', 75) + .attr('y1', 70) + .attr('x2', 75) + .attr('y2', 200) + ml_svg.append('line') + .attr('x1', 75) + .attr('y1', 199.5) + .attr('x2', 19.5) + .attr('y2', 199.5) + ml_svg.append('line') + .attr('x1', 20) + .attr('y1', 199.5) + .attr('x2', 20) + .attr('y2', 373) + + // 2006 text + ml_svg.append("text") + .attr("x", 170) + .attr("y", 20) + .attr("class", "label") + .text("Costs rise") + ml_svg.append("text") + .attr("x", 180) + .attr("y", 40) + .attr("class", "label") + .text("in Iraq") + ml_svg.append("text") + .attr("x", 180) + .attr("y", 60) + .attr("class", "label") + .text("(2006)") + ml_svg.append('line') + .attr('x1', 200) + .attr('y1', 70) + .attr('x2', 200) + .attr('y2', 150) + ml_svg.append('line') + .attr('x1', 200) + .attr('y1', 149.5) + .attr('x2', 160) + .attr('y2', 149.5) + ml_svg.append('line') + .attr('x1', 160.5) + .attr('y1', 150) + .attr('x2', 160.5) + .attr('y2', 256.5) + + // 2011 text + ml_svg.append("text") + .attr("x", 295) + .attr("y", 40) + .attr("class", "label") + .text("Iraq War ends") + ml_svg.append("text") + .attr("x", 317) + .attr("y", 60) + .attr("class", "label") + .text("(2011)") + ml_svg.append('line') + .attr('x1', 335) + .attr('y1', 70) + .attr('x2', 335) + .attr('y2', 110) + ml_svg.append('line') + .attr('x1', 335) + .attr('y1', 110) + .attr('x2', 400) + .attr('y2', 110) + ml_svg.append('line') + .attr('x1', 400) + .attr('y1', 110) + .attr('x2', 400) + .attr('y2', 140) + + // 2012 text + ml_svg.append("text") + .attr("x", 455) + .attr("y", 20) + .attr("class", "label") + .text("Troop withdrawal in") + ml_svg.append("text") + .attr("x", 465) + .attr("y", 40) + .attr("class", "label") + .text("Afghanistan War") + ml_svg.append("text") + .attr("x", 495) + .attr("y", 60) + .attr("class", "label") + .text("(2012)") + ml_svg.append('line') + .attr('x1', 515) + .attr('y1', 70) + .attr('x2', 515) + .attr('y2', 130) + ml_svg.append('line') + .attr('x1', 515) + .attr('y1', 130) + .attr('x2', 450) + .attr('y2', 130) + ml_svg.append('line') + .attr('x1', 450) + .attr('y1', 130) + .attr('x2', 450) + .attr('y2', 160) + + // 2016 text + ml_svg.append("text") + .attr("x", 635) + .attr("y", 20) + .attr("class", "label") + .text("Resurgence") + ml_svg.append("text") + .attr("x", 646) + .attr("y", 40) + .attr("class", "label") + .text("of ISIS") + ml_svg.append("text") + .attr("x", 647) + .attr("y", 60) + .attr("class", "label") + .text("(2016)") + ml_svg.append('line') + .attr('x1', 665) + .attr('y1', 70) + .attr('x2', 665) + .attr('y2', 120) + ml_svg.append('line') + .attr('x1', 665) + .attr('y1', 120) + .attr('x2', 640) + .attr('y2', 120) + ml_svg.append('line') + .attr('x1', 640) + .attr('y1', 120) + .attr('x2', 640) + .attr('y2', 188) + + // 2018 text + ml_svg.append("text") + .attr("x", 775) + .attr("y", 20) + .attr("class", "label") + .text("Trump requests") + ml_svg.append("text") + .attr("x", 765) + .attr("y", 40) + .attr("class", "label") + .text("a spending increase") + ml_svg.append("text") + .attr("x", 800) + .attr("y", 60) + .attr("class", "label") + .text("(2018)") + ml_svg.append('line') + .attr('x1', 820) + .attr('y1', 70) + .attr('x2', 820) + .attr('y2', 80) + ml_svg.append('line') + .attr('x1', 820) + .attr('y1', 80) + .attr('x2', 735) + .attr('y2', 80) + ml_svg.append('line') + .attr('x1', 735) + .attr('y1', 80) + .attr('x2', 735) + .attr('y2', 120) + + + + /*** Social Bar Graph ***/ + let margin = {top: 10, right: 30, bottom: 60, left: 70}, + width = 1000 - margin.left - margin.right, + height = 520 - margin.top - margin.bottom; + + + // Append SVG + let social_svg = d3.select("#social_vis") + .append("svg") + .attr("width", width + margin.left + margin.right) + .attr("height", height + margin.top + margin.bottom) + .append("g") + .attr("transform", "translate(" + margin.left + "," + margin.top + ")"); + + + //x axis + let social_x = d3.scaleBand() + .domain([2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017,2018,2019]) + .range([0, width]) + .paddingInner(0.1); + social_svg.append("g") + .attr("transform", "translate(0," + height + ")") + .call(d3.axisBottom(social_x).tickValues([2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017,2018,2019]).tickFormat(d3.format("d"))); + + social_svg.append("text") + .attr("x", width/2) + .attr("y", height + margin.bottom) + .style("text-anchor", "middle") + .attr("class", "label") + .text("Years") + + // y axis + let social_y = d3.scaleLinear() + .domain([0, 6]) + .range([height, 0]) + social_svg.append("g") + .call(d3.axisLeft(social_y).tickFormat(function(d) { return d; }) + .tickSize(3)) + .style("stroke-width", "1.5px") + + social_svg.append("text") + .attr("y", 0 - margin.left) + .attr("x",0 - (height / 2)) + .attr("dy", "1em") + .attr("transform", "rotate(-90)") + .attr("class", "label") + .style("text-anchor", "middle") + .text("Total Social Spending in Trillions (USD)") + + social_svg.selectAll("bar") + .data(socialData) + .enter() + .append("rect") + .attr("class", "bar") + .style("fill", "#93BEDF") + .attr("x", function(d) { return social_x(d.year); }) + .attr("width", social_x.bandwidth()) + .attr("y", function(d) { return social_y(d.trillion); }) + .attr("height", function(d) { return height - social_y(d.trillion); }) + .on("mouseover", function(d, i) { + d3.select(this) + .style("fill", "#6EAF73"); + social_svg.append("text") + .attr("x", social_x(i.year)) + .attr("y", 490) + .attr("class", "hoverLabel") + .style("fill", function(d) { + if (document.getElementById("body").className === "dark") return "#F9F9F9" + else return "#373E40" + }) + .style("font-size", "14px") + .style("font-weight", "bold") + .text("$" + i.trillion + " T"); + }) + .on("mouseout", function() { + d3.select(this) + .style("fill", "#93BEDF"); + social_svg.selectAll(".hoverLabel") + .remove() + }) + + // 2008 text + social_svg.append("text") + .attr("x", 220) + .attr("y", 40) + .attr("class", "label") + .text("Stock Market Crash") + social_svg.append("text") + .attr("x", 270) + .attr("y", 60) + .attr("class", "label") + .text("(2008)") + social_svg.append('line') + .attr('x1', 290) + .attr('y1', 70) + .attr('x2', 290) + .attr('y2', 271) + + // fiscal cliff text + social_svg.append("text") + .attr("x", 470) + .attr("y", 40) + .attr("class", "label") + .text("Fiscal Cliff") + social_svg.append("text") + .attr("x", 485) + .attr("y", 60) + .attr("class", "label") + .text("(2012)") + social_svg.append('line') + .attr('x1', 505) + .attr('y1', 70) + .attr('x2', 505) + .attr('y2', 227) + + // trade war text + social_svg.append("text") + .attr("x", 760) + .attr("y", 40) + .attr("class", "label") + .text("Trade War Begins") + social_svg.append("text") + .attr("x", 800) + .attr("y", 60) + .attr("class", "label") + .text("(2018)") + social_svg.append('line') + .attr('x1', 822) + .attr('y1', 70) + .attr('x2', 822) + .attr('y2', 170) + // }) + + /*** Light / Dark Slider ***/ + let slider = document.getElementById("sliderId") + let body = document.getElementById("body") + + slider.addEventListener('change', function() { + if (slider.checked) { + body.className = "dark" + d3.selectAll(".label").style("fill", "#F9F9F9").style("transition", "1s") + d3.selectAll("line").style("stroke", "#F9F9F9").style("transition", "1s") + } else { + body.className = "light" + d3.selectAll(".label").style("fill", "#373E40").style("transition", "1s") + d3.selectAll("line").style("stroke", "#373E40").style("transition", "1s") + } + }) + +} From d424b80217f435ec130cae0ea8e3a12b01b3e5b7 Mon Sep 17 00:00:00 2001 From: Roman Wicky van Doyer Date: Mon, 15 Mar 2021 17:37:46 -0400 Subject: [PATCH 32/57] Update index.html --- index.html | 421 +---------------------------------------------------- 1 file changed, 1 insertion(+), 420 deletions(-) diff --git a/index.html b/index.html index 46ef95d3..62297785 100644 --- a/index.html +++ b/index.html @@ -79,423 +79,4 @@

Military vs Social Programs

- - - \ No newline at end of file + From c9e1c10d661ef9b86fc7178f6853f977c1ccd891 Mon Sep 17 00:00:00 2001 From: Roman Wicky van Doyer Date: Mon, 15 Mar 2021 17:39:08 -0400 Subject: [PATCH 33/57] Update index.html --- index.html | 553 ++++++++--------------------------------------------- 1 file changed, 82 insertions(+), 471 deletions(-) diff --git a/index.html b/index.html index 5c5ed56e..b1b968d4 100644 --- a/index.html +++ b/index.html @@ -4,478 +4,89 @@ - - - - Final + + Final Project -
-

United States Spending

-

Military vs Social Programs

-
- -

- Over the past 20 years, the United States has faced some of the worst economic crises in history. - From the Great Recession of 2007 - 2009 to the 2020 Recession (the worst since the - Great Depression [1]), Americans have been struggling. Currently, we are battling the - physical, emotional, and economic toll of COVID-19. In the past year unemployment has peaked at - an unprecedented 14.8% [2], and many Americans who were lucky enough to survive a COVID infection - (and some family members whose loved ones did not) have been plunged into medical debt, even with - private insurance [3]. -

-

- Despite these struggles, the United States has seen its budget become increasingly militarized. - The US is the largest military spender in the world, larger than the next 10 highest spenders - combined [4]. Within the military budget itself, programs such as Veterans Affairs is dwarfed by spending - by the Department of Defense and overseas contingency operations (OCO). The OCO, which includes - the cost of wars, has spent over $2 trillion financing the War on Terror [5]: a war which is conservatively - estimated to have displaced 37 million people and left over 800,000 dead [6]. -

- -
- -

- Below, you can see the total military spending for the US from the past 19 years. This visualization - shows a distinct upwards trend, despite troop withdrawal from both Afghanistan and Iraq [7], and an - announcement by President Obama in 2013 that the War on Terror was over [6]. Also note how the U.S. - military budget is reactionary to external events: increasing and decreasing as necessary in response - to outside circumstances. -

- -
- -

- Below you can see the total social spending for the US from the past 17 years. -
[Talk abt social security (6.2% of income investopedia.com/retirement/social-security-faqs/)]
- (is the majority really just for admisinistrative costs? confused https://www.ssa.gov/budget/)
- - An important aspect to note is that unlike the military budget, which is reactionary and increases dramatically, - the budget for social programs responds only to inflation. This means that despite the multiple finanical crises - that have hit the United States in our lifetime, the governement does not offer additional economic support to - its citizens. - -
[Make another point that fits in here - coporate bailouts? banks in 2008 / airplanes in 2020? ] -

- -
- - - +
+

United States Spending

+

Military vs Social Programs

+
+ + + +Light/Dark Toggle + + +

+ Over the past 20 years, the United States has faced some of the worst economic crises in history. + From the Great Recession of 2007 - 2009 to the 2020 Recession (the worst since the + Great Depression [1]), Americans have been struggling. Currently, we are battling the + physical, emotional, and economic toll of COVID-19. In the past year unemployment has peaked at + an unprecedented 14.8% [2], and many Americans who were lucky enough to survive a COVID infection + (and some family members whose loved ones did not) have been plunged into medical debt, even with + private insurance [3]. +

+

+ Despite these struggles, the United States has seen its budget become increasingly militarized. + The US is the largest military spender in the world, larger than the next 10 highest spenders + combined [4]. Within the military budget itself, programs such as Veterans Affairs is dwarfed by spending + by the Department of Defense and overseas contingency operations (OCO). The OCO, which includes + the cost of wars, has spent over $2 trillion financing the War on Terror [5]: a war which is conservatively + estimated to have displaced 37 million people and left over 800,000 dead [6]. +

+ +
+ +

+ Below, you can see the total military spending for the US from the past 19 years. This visualization + shows a distinct upwards trend, despite troop withdrawal from both Afghanistan and Iraq [7], and an + announcement by President Obama in 2013 that the War on Terror was over [6]. Also note how the U.S. + military budget is reactionary to external events: increasing and decreasing as necessary in response + to outside circumstances. +

+ +
+ +

+ Below you can see the total social spending for the US from the past 17 years. An important aspect to note + is that unlike the military budget, which is reactionary and increases dramatically, the budget for social + programs responds only to inflation. This means that despite the multiple financial crises that have hit the + United States in our lifetime, the government does not offer additional economic support to its citizens. + This is in stark contrast to the U.S. government’s history of corporate bailouts, which occur in amounts + of billions to trillions of dollars, and a luxury only afforded to Americans recently at the height of the + pandemic [8]. +

+ +
+ +
+ [1] + [2] + [3] + [4] + [5] + [6] + [7] + [8] + +
+
+
+
+ + +
+
+
+ +
- - - - - From c177da40f4bc1ccc8a1236cecdf88015b687f21f Mon Sep 17 00:00:00 2001 From: Roman Wicky van Doyer Date: Mon, 15 Mar 2021 17:53:04 -0400 Subject: [PATCH 34/57] Update backend.js --- backend.js | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/backend.js b/backend.js index 50266a15..44627f13 100644 --- a/backend.js +++ b/backend.js @@ -11,7 +11,7 @@ function main(){ }) - createTreeMap(selector); + //createTreeMap(selector); createPieChart(selector); animatedLineGraph(); From 4c6c021b8d4565ce98a046f4de227f46baa79119 Mon Sep 17 00:00:00 2001 From: Roman Wicky van Doyer Date: Mon, 15 Mar 2021 17:53:15 -0400 Subject: [PATCH 35/57] Update index.html --- index.html | 31 ++++++++++++++++++------------- 1 file changed, 18 insertions(+), 13 deletions(-) diff --git a/index.html b/index.html index b1b968d4..7308d849 100644 --- a/index.html +++ b/index.html @@ -4,10 +4,15 @@ - + + + + + + Final Project - +

United States Spending

Military vs Social Programs

@@ -63,17 +68,6 @@

Military vs Social Programs

-
- [1] - [2] - [3] - [4] - [5] - [6] - [7] - [8] - -
@@ -88,5 +82,16 @@

Military vs Social Programs

+
+ [1] + [2] + [3] + [4] + [5] + [6] + [7] + [8] + +
From 8b709a0131b80883018f206d175cab81b0a9dd86 Mon Sep 17 00:00:00 2001 From: Roman Wicky van Doyer Date: Mon, 15 Mar 2021 17:56:17 -0400 Subject: [PATCH 36/57] Update backend.js --- backend.js | 9 +++++---- 1 file changed, 5 insertions(+), 4 deletions(-) diff --git a/backend.js b/backend.js index 44627f13..4cb68a60 100644 --- a/backend.js +++ b/backend.js @@ -11,7 +11,7 @@ function main(){ }) - //createTreeMap(selector); + createTreeMap(selector); createPieChart(selector); animatedLineGraph(); @@ -111,14 +111,15 @@ function main(){ let data; if(selector === "2017"){ - data = "csv/totalspending2017.js" + data = json2017; } if(selector === "2018"){ - data = "csv/totalspending2018.js" + data = json2018; }if(selector === "2019"){ - data = "csv/totalspending2019.js" + data = json2019; } + console.log(data); // stratify the data: reformatting for d3.js let root = d3.stratify() From 87628d5e09d8c4ff10c24cd6fc8ad8fc58745e3c Mon Sep 17 00:00:00 2001 From: Roman Wicky van Doyer Date: Mon, 15 Mar 2021 17:57:30 -0400 Subject: [PATCH 37/57] Update index.html --- index.html | 2 ++ 1 file changed, 2 insertions(+) diff --git a/index.html b/index.html index 7308d849..0ee42e0c 100644 --- a/index.html +++ b/index.html @@ -10,6 +10,8 @@ + + Final Project From a3507d6c820167f04690106b5c49dec8042c1e03 Mon Sep 17 00:00:00 2001 From: Roman Wicky van Doyer Date: Mon, 15 Mar 2021 18:03:36 -0400 Subject: [PATCH 38/57] Update index.html --- index.html | 15 +++++++++++++++ 1 file changed, 15 insertions(+) diff --git a/index.html b/index.html index 0ee42e0c..ab8b1473 100644 --- a/index.html +++ b/index.html @@ -70,6 +70,13 @@

Military vs Social Programs

+
+ +

+ Below is a Treemap + Piechart of the years 2017-2019 of the military budget of top nations. It is clear that the United States + spends billions of dollars more than all other countries (combined!). +

+
@@ -80,6 +87,14 @@

Military vs Social Programs

+ +
+ +

+ Below is an animated line graph of the Yearly Spending in Billions of the U.S. Military from 2000-2019. +

+ +
From f1d02795dd1656b1d0e295723be05014c551c18f Mon Sep 17 00:00:00 2001 From: Roman Wicky van Doyer Date: Mon, 15 Mar 2021 18:08:34 -0400 Subject: [PATCH 39/57] Add files via upload --- json/totalSpending2017.js | 3 +++ json/totalSpending2018.js | 3 +++ json/totalSpending2019.js | 3 +++ 3 files changed, 9 insertions(+) diff --git a/json/totalSpending2017.js b/json/totalSpending2017.js index d49a14ca..94b754a2 100644 --- a/json/totalSpending2017.js +++ b/json/totalSpending2017.js @@ -1,4 +1,7 @@ let json2017 = [ + { + country: 2017 + }, { country: "USA", spending: 646.7, diff --git a/json/totalSpending2018.js b/json/totalSpending2018.js index ffc1930c..09f9d269 100644 --- a/json/totalSpending2018.js +++ b/json/totalSpending2018.js @@ -1,4 +1,7 @@ let json2018 = [ + { + country: 2018 + }, { country: "USA", spending: 682.4, diff --git a/json/totalSpending2019.js b/json/totalSpending2019.js index e8fdf487..e8128e0d 100644 --- a/json/totalSpending2019.js +++ b/json/totalSpending2019.js @@ -1,4 +1,7 @@ let json2019 = [ + { + country: 2019 + }, { country: "USA", spending: 732.0, From 3105fa131800ca897d1ea9dcd0d570edc2a5dcbd Mon Sep 17 00:00:00 2001 From: Roman Wicky van Doyer Date: Mon, 15 Mar 2021 18:13:04 -0400 Subject: [PATCH 40/57] Update backend.js --- backend.js | 17 +++++++++++++++++ 1 file changed, 17 insertions(+) diff --git a/backend.js b/backend.js index 4cb68a60..5065152e 100644 --- a/backend.js +++ b/backend.js @@ -267,6 +267,23 @@ function main(){ const grp = chart .append("g") .attr("transform", `translate(-${margin.left},-${margin.top})`); + + svg.append("text") + .attr("x", width/2 + 15) + .attr("y", height + margin.bottom - 30) + .style("text-anchor", "middle") + .attr("class", "label") + .text("Years") + + svg.append("text") + .attr("y", 0) + .attr("x",0 - (height / 2)) + .attr("dy", "1em") + .attr("transform", "rotate(-90)") + .attr("class", "label") + .style("text-anchor", "middle") + .text("Total Military Spending in Billions (USD)") + const yScale = d3 .scaleLinear() From 7838522f28297f69d7af64dca47cff2997f647a5 Mon Sep 17 00:00:00 2001 From: mollywirtz Date: Mon, 15 Mar 2021 18:14:47 -0400 Subject: [PATCH 41/57] save --- backend.js | 2 +- index.html | 7 +++++-- style.css | 15 ++++++++++++++- 3 files changed, 20 insertions(+), 4 deletions(-) diff --git a/backend.js b/backend.js index 4cb68a60..69c6119a 100644 --- a/backend.js +++ b/backend.js @@ -19,7 +19,7 @@ function main(){ d3.select("#svgPie").remove(); let margin = {top: 100, right: 100, bottom: 10, left: 100}, - width = 945 - margin.left - margin.right, + width = 545 - margin.left - margin.right, height = 445 - margin.top - margin.bottom; // append the svg object to the body of the page diff --git a/index.html b/index.html index ab8b1473..7739f4d2 100644 --- a/index.html +++ b/index.html @@ -77,8 +77,11 @@

Military vs Social Programs

spends billions of dollars more than all other countries (combined!).

-
-
+
+
+
+
+
- [1] - [2] - [3] - [4] - [5] - [6] - [7] -

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4673f1ffdc6db1b373ab509290447a808a321e48 Mon Sep 17 00:00:00 2001 From: Molly Wirtz <45675564+MollyWirtz@users.noreply.github.com> Date: Mon, 15 Mar 2021 14:20:13 -0400 Subject: [PATCH 26/57] Update README.md --- README.md | 12 +++++------- 1 file changed, 5 insertions(+), 7 deletions(-) diff --git a/README.md b/README.md index 03539125..c20bea64 100755 --- a/README.md +++ b/README.md @@ -10,7 +10,7 @@ Background --- ### Objective -Given the economic upheaval of the past year, our team wanted to choose a project focusing on the financial spending of the government: specifically the difference between how the U.S. spends money on military endeavors versus social programs. +Given the unprecedented economic upheaval of the past year brought on by the pandemic, our team wanted to choose a project focusing on the financial spending of the government: specifically the difference between how the U.S. spends money on military endeavors versus social programs. ### Data We sifted through multiple databases and other data sources to find the information necessary for our project. We changed courses a few times based on much data was available, how specific it was, and the points we were trying to convey to our reader. Although not all of the following data sources are represented in our final version, all of them were helpful in our research and understanding of this topic. @@ -27,18 +27,16 @@ For most of our data we had to employ some about of cleaning. This involving dow Visualizations --- -Our project website contains many sections. First, we felt it was important to convey our objectives for this project, as well as provided explanations of our visualizations and additional research to our user. +Our project website contains multiple sections. First, we felt it was important to convey our objectives for this project, as well as provide explanations of our visualizations and additional research to our user. This is shown at the top of our page in the form of an introduction. -Next we have our section on U.S. military spending, with a bar chart and a treemap. The bar chart shows data on the total military spending from 2003 - 2021 (2021 projected). Important events are denoted to give the user an informed idea of global events that impacted spending, and to clarify the y-values, the cost of each year is displayed under the x-axis when that bar is hovered on. To take a further look into U.S. budget, we have our tree map. [Explain more abt treemap when merged in] +Next we have our section on U.S. military spending, with a bar chart and a treemap. The bar chart shows data on the total military spending from 2003 - 2021 (2021 projected). Important events, such of the start or end of wars, are denoted to give the user an informed idea of global events that impacted spending. To clarify and emphasize the y-values, the cost of each year is displayed under the x-axis when that bar is hovered on. To take a further look into U.S. budget, we have our tree map. [Explain more abt treemap when merged in] military bar graph - -Our next section focuses on U.S. social spending, and like the military section, contains a bar graph and a treemap. The bar chart shows the total spending of the U.S. government on social programs, such as social security, education, and healthcare. Events that significantly impacted American's financial state, such as the 2008 stock market crash, have been donated above the years they occur similarly to our other bar graph. This graph also made to be interactive by changing color and showing the cost per year of the bar when hovered on. To look more in-depth at the United States' social spending, we have a treemap. [Explain more abt treemap when merged in] +Our next section focuses on U.S. social spending, and like the military section, contains a bar graph and a treemap. The bar chart shows the total spending of the U.S. government on social programs, such as social security, education, and healthcare. Events that significantly impacted Americans financial state, such as the 2008 stock market crash, have been donated above the years they occur, similarly to our other bar graph. This graph also made to be interactive by changing color and showing the cost per year of the bar when hovered on. To look more in-depth at the United States' social spending, we have a treemap. [Explain more abt treemap when merged in] social bar graph - Code --- The majority of our code can be found in our index.html file, which is commented and organized by graph and feature. @@ -63,7 +61,7 @@ Achievements color scheme ### Technical -- Implemented a light / dark theme option using CSS and a stylized input checkbox located in the top right corner of the page +- Implemented a light / dark theme option using CSS and a stylized input checkbox located in the top right corner of the page (further detail and images are included in the features section) - Created interactive bar charts, changing colors of bars and including the amounts on each hover - Made a zoomable treemap to display multiple "nested" treemaps From 2f49edd1f8ff9e5d7c0be45793c5e0650a1afadf Mon Sep 17 00:00:00 2001 From: Roman Wicky van Doyer Date: Mon, 15 Mar 2021 15:22:55 -0400 Subject: [PATCH 27/57] Update README.md --- README.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/README.md b/README.md index c20bea64..350012f4 100755 --- a/README.md +++ b/README.md @@ -3,6 +3,8 @@ Final Project - Interactive Data Visualization ### Project Website +https://romanwicky.github.io/final/index.html + ### Screencast Video From 542985ddbbd0c4b61a773ee714bc59bbfa2c2136 Mon Sep 17 00:00:00 2001 From: mollywirtz Date: Mon, 15 Mar 2021 16:06:37 -0400 Subject: [PATCH 28/57] change csv to json --- index.html | 24 ++++++------- json/socialJson.js | 87 ++++++++++++++++++++++++++++++++++++++++++++++ 2 files changed, 98 insertions(+), 13 deletions(-) create mode 100644 json/socialJson.js diff --git a/index.html b/index.html index 07336385..46ef95d3 100644 --- a/index.html +++ b/index.html @@ -5,6 +5,7 @@ + Final @@ -397,23 +398,21 @@