VickyZauner - Project 4 - Week 5

your-project/README.md

@@ -14,25 +14,40 @@
 - [Links](#links)
 
 ## Project Description
-Write a short introduction to your project: 3-5 sentences about the context of your topic and why you chose it.
+The Startup Ecosystem has been flourishing over the past decades. As Startups are essential leaders of today's innovation as well as potential employers for Bootcamp Alumi's, I decided to dedicate my second project to investigating past developments in the Startup Ecosystem, Correlations of different Parameters and prospect future developments in order to determine future success factors. 
 
 ## Questions & Hypotheses
-What are the questions you would like to answer with your analysis? What did you feel were the answers to those questions before answering them with data?
+Questions I would like to answer in my project : 
+- How did the number of companies founded by year develop over time?
+- How many companies are there by sector and country?
+- How was the growth of number of companies founded by sector in the past years?
+- How is the expected growth for the coming years by sector?
+- What is the probability of being acquired by sector?
+- What is the probability of being funded and acquired by sector?
+- Which sector pays the most for acquisition?
+- How many Unicorns are there by sector and Country?
+- Hypothesis 1: There is a positive correlation between the amount of companies founded and the amount of funding by sector.
+- Hypothesis 2: There is a positive correlation between the amount of companies founded and closed in a sector.
+- Hypothesis 3: There is a correlation between the amount of funding and the probability of being acquired.
 
 ## Dataset
-What dataset (or datasets) did you use? What are the different sources you used (e.g. APIs, web scrapping, etc.)? Provide links to the data if available and describe the data briefly.
+I used csv files provided by Crunchbase and Webscrapping from CB Insight's Unicorn Tracker
 
 ## Workflow
-Outline the workflow you used in your project. What are the steps you went through?
+- Brainstorming and Research
+- Data Search
+- Data Cleaning
+- Data Restructuring
+- Calculations of Porbability and Correlation
+- Data Visualisation
+- Preparation of Presentation and Paper
 
 ## Organization
-How did you organize your work? Did you use any tools like a kanban board?
-
-What does your repository look like? Explain your folder and file structure.
+Yes, I used a Trello Board and To-Do Lists to Organize my work.
 
 ## Links
 Include links to your repository, slides and kanban board. Feel free to include any other links associated with your project.
 
-[Repository](https://github.com/)  
-[Slides](https://slides.com/)  
-[Trello](https://trello.com/en)  
+[Repository](https://github.com/VickyZauner/Project-Week-5-Your-Own-Project)  
+[Slides](https://github.com/VickyZauner/Project-Week-5-Your-Own-Project)  
+[Trello](https://trello.com/b/kpihzTiJ/project-4-sucessful-factors-in-the-startup-economy)  

your-project/code/Project 5 - Analysing Prob of Acquiring or IPO ing.ipynb

@@ -0,0 +1,32 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

your-project/code/Project 5 - Analysing Success by Funding.ipynb

@@ -0,0 +1,32 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}