diff --git a/week1.md b/week1.md
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+Week 1
+---
+Link: https://leetcode-cn.com/progress/
+
+This is a website of the LeetCode (a plantform which can help students to practise coding) which can display the data about the problems the user has solved yet.
+There is a pie chart on the right of the page which show the data and their rate.
+
+Introduction
+---
+
+1. The colored part in the graph indicates the problems which are finished by the user, while the grey part indicates the problems which are not finished yet.
+2. It uses the depth of the color to represent the degree of difficultly of each problem. The deeper the color is, the more difficult the problem is.
+3. We can see the detail data rate by click on the corresponsing part.
+4. When we move our mouse above a part of the chart, we can see the value of the data of this part.
+
+Explanation
+---
+
+- I found this chart when I practise coding on this website.
+The reason I chose it is because its display method satisfies the user's needs for viewing the progress of solving the problems.
+- It can help users to analyze the amount of the problems a user has solved yet.
+It can also tell user the composition of these problems, the pass rate and the rate of the difficult questions among them.
+- This chart is much useable and it can help the users to make the practice plan better in the future.
diff --git a/week2.md b/week2.md
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+Week 2
+---
+Link: http://www.vizualism.nl/friends-1994-2019/
+
+
+
+
+
+Introduction
+---
+This is a chart which shows the emotional experience and the relationship between the main characters during the ten seasons in the sitcom *FRIENDS*.
+
+Although I haven't watch this sitcom before, I have heard about some plots in it. The two main characters Rachel and Ross fell in love and broke up for several times.
+
+And this chart gives the fans a intuitive and lively show about the changes of their relationship.
+
+
+Explanation
+---
+
+- The chart is organised by the timeline.
+- On the left of the chart, there are ten numbers in grey which indicates the ten seasons of this sitcom.
+- On the right of the chart, there are some classic and core plot in of *Friends* by the chronological order.
+- On the op of the chart shows the indivldual avatars of the six main characters.
+ While on the bottom of the chart, the author put the avatars of the couple together.
+- The core part of the chart is the colored lined in the middle.
+ When two lines are crossed together, it means that someones fall in love and the name of the plot is bold on the right.
+ Also, there will be a heart figure on the intersection of the lines.
+- Although this chart doesn't have as much meaning as the chart about the epidemic and the COVID, it's quite interesting, especially for those fans of *Friends*.
diff --git a/week3.md b/week3.md
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+Week 3
+---
+Link: https://2050.earth/
+
+
+
+
+
+
+
+Introduction
+---
+This is a dynamic chart which shows the conjecture and speculation of the cities from different countries all over the world.
+
+
+Explanation
+---
+
+- The chart takes ten years as a stage and is divided into three stages including 2030, 2040 and 2050.
+- The yellow point means the corresponding cities have been predicted by someone and he/she uploaded the 3D picture of the city.
+ Click on the point, then you will jump into the detial pages of the city.
+ There will be some scenery of the city and most of them are the landmark.
+ It supports viewing by 360 degree rotating.
+- The white point means the corresponding cities have been predicted by someone and he/she uploaded the description about his/her prediction.
+ Click on the point, then you will jump into the detial pages of the city.
+ These predictions and descriptions are about various aspects of the cities, such as transport, education and so on.
+- There are also many empty which means the corresponding cities haven't been predicted yet.
+ People who have some imagination about them can upload their prediction.
+
diff --git a/week4.md b/week4.md
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+Week 4
+---
+Link: http://metrocosm.com/global-immigration-map/?utm_content=buffer113b2&utm_medium=social&utm_score=twitter.com&utm_campaign=buffer
+
+
+
+
+
+
+Introduction
+---
+This map shows the estimated net immigration (inflows minus outflows) by origin and destination country between 2010 and 2015.
+
+
+Explanation
+---
+- Blue circles = positive net migration (more inflows)
+- Red circles = negative net migration (more outflows)
+- Each yellow dot represents 1,000 people.
+- Hover over a circle to see that country’s total net migration between 2010 and 2015.
+ Click a circle (or tap the circle twice on mobile) to view only the migration flows in and out of that country.
+- This chart use flow to show the source and whereabouts of migration which is a quite effective way.
+
+Analysis
+---
+When US immigration is viewed by region, the area that really stands out is Asia,
+which now accounts for just as much US immigration as North + South America (Mexico included).
+
+Immigration between the US and Mexico is particularly complex,
+since it involves both legal and illegal immigration as well as temporary laborers, deportations, and a large number of people living in immigration detention facilities.
+For that reason, America’s true net migration with Mexico is uncertain, and may actually be much lower than what’s shown here.
+
+Australia, another country where immigration has become a highly charged political issue, jumps out as an interesting case.
+
+By these estimates, Australia’s net immigration is negative with every country in the world,
+except for a small positive immigration balance with Sudan.
+Australia is the only country in the world to have significant positive net immigration with the US.
+
diff --git a/week5.md b/week5.md
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+Week 5
+---
+Link: https://www.nikon.com/about/sp/universcale/scale.htm
+
+
+
+
+
+
+
+
+Introduction
+---
+This website lets you see and understand the relative size of the full range of known objects in our universe,
+From the tiniest microcosm to the vast reaches of outer space
+including the galaxies and the planets in the universe, as well as the human and the other animals and plants on the earth and
+the microbes like bacteria and virus, and even smaller objects like molecule and atom.
+
+You can see the relative sizes of objects arranged on a single scale,
+and grasp the sizes of things that you cannot compare side by side in the real world.
+
+
+Explanation
+---
+- The main background is a grid map, which shows the different objects' figure and are moving from the big objects to the small ones.
+ You can also change the range of size of the objects by scrolling the mouse.
+- From the left to the right shows the objects from small to big.
+ And there is a scaleplate under these objects which shows the range of the size of the objects.
+- You can jump to the page you want by clicking/tapping on the bar that indicates a scale position.
+- You can scroll by mouse wheel or swipe the screen left and right with a touch device.
+- Clicking/tapping the object of your interest will take you to an explanation of the object and its size.
+- You can see the explanation by clicking/tapping the object or white bar on the bottom of the object.
+- The object you selected will be displayed together with other objects for size comparison.
+ By clicking/tapping the “Bigger” or “Smaller” Button, you will learn more about the object you selected.
+- Clicking or tapping the back button will return you to the original page.
+- Clicking or tapping a unit or title will bring up related explanations about the unit.
+
+Analysis
+---
+- This chart shows the size difference among differnet objects in a fantastic way.
+ For the objects which are common in ourlife, like rabbits, dogs, and trees, it's easy for us to tell the difference about their size.
+ However, for the huge objects, like the planets, or the tiny objects, like bacteria, it's different to perceive their specific size.
+ Although we can learn about data such as Saturn's diameter,
+ the numbers can't give us an intuitive sense of how big it is or how much it is bigger than the earth.
+ This chart uses the method of contrast to intuitively show us the size relationship of objects that we can't observe by our naked eyes.
+
+
+
diff --git a/week6.md b/week6.md
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+Week 6
+---
+Link: https://www.oldnyc.org/
+
+
+
+
+
+
+
+
+Introduction
+---
+This is the website which shows the changing of the New York City during the 200 years.
+
+By viewing this map, you can get to know about the diversification of the building and the street of the New York.
+
+
+Explanation
+---
+- Each red point on the map represent a location.
+ You can view the pictures of this position by click on the red point.
+- You can zoom in or zoom out the map by scroll the mouse or click on the "+" and "-" symbol on the top left of the page.
+- You can choose the time range by moving the start position and the end position of the bar.
+- This website also support searching a specific position as well as locating the current location.
+ Of course, if you are not in New York, you'll not get any picture.
+- At the beginning years, there are only a few positions which have pictures.
+ With the development of the city, more and more position are recorded.
+ And after another several hundred of years, there must be more lush data.
+
+
+
diff --git a/week7.md b/week7.md
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+Week 7
+---
+Link: http://hint.fm/wind/
+
+
+
+
+
+
+
+
+Introduction
+---
+This website shows the real-time wind direction of America.
+
+
+Explanation
+---
+- This chart use shows the real-time wind direction by using dynamic lines.
+- According the the legend on the left of the chart, the more dense the lines are, the higher the wind speeds are.
+- According to the chart now, in the south of America, like Houston, there is blowing north winds.
+While in the east of America, like New York, there is blowing west winds
+- You can see the accurate wind speed and wind direction by moving your mouse to the corresponding position on the map.
+You can also click on the map to zoom in and see the detail information.
+- In addition, the website also show the maximum wind speed and the average wind speed on the left of the chart.
+You can also see the historical screenshot in the gallery
+
+
+