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存档启动器项目

存档启动器项目

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Business,Finance,Economics Classification

数据结构 ? 2.63M

    Data Structure ?

    * 以上分析是由系统提取分析形成的结果,具体实际数据为准。

    README.md

    Context As a project manager and a keen data scientist, I was always curious about the factors of a successful project. When I was a student in New York City Data Science Academy, I finally had the chance to do a research in this field. Content The contents of this CSV file is an output of a Web Scraping project which was completed in May 2019 at NYCDSA. Since Kickstarter hides almost all of the completed projects from its website and search engine, I first scraped another website called Kicktraq which keeps track of all completed projects on Kickstarter. Then, I followed the link on Kicktraq which references to the project's original Kickstarter page. Kickstarter page provides some additional information regarding the pledge tiers, backers for each pledge tiers, full project description, number of comments, updates, FAQs etc. I finally combined all variables from both Kicktraq and Kickstarter for 8028 projects in one file. Inspiration Using this dataset, below research questions can be investigated: 1. What is the success/failure ratio for each U.S. State? 2. What are the factors of a successful project? 3. Is there a linear relationship between the variables? 4. What kind of statistical model best describes the dataset? 5. Given the variables. can you predict if a project will be successful?
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