Launched through opening terminal and navigating to directory of folder and then typing the command jupyter notebook where a local server will be instantiated
Python, NumPy, Matplotlib, Seaborn, Scikit-learn, Pandas, Tableau
With Kickstarter being such a popular crowd-funding website, it is interesting to see what makes a certain project stand out and be successful. The dataset has many variables that can be analysed in order get an insight into this question. Factors such as if the project is for something local (a restaurant, for example) or if the project is something that could be enjoyed by anyone of interest. Do local projects get less funding because there are fewer backers who would benefit from a successful funding? Or did these local backers contribute more because they saw more personal value in the project? How many successful/unsuccessful categories are there? Is the funding goal an issue causing the downfall of these projects? There are many such questions that can be asked from such a comprehensive dataset. The goal is to answer questions or insights for future predictions by analysing this dataset through visuals, statistical analysis, and machine learning techniques.
Kickstarter is an independent company that provides support to the world of creative projects initiated by the public community. The overall 300,000 kickstarter data was provided/combined by MICKAËL MOUILLÉ initially collected from kickstarter projects. There are around 300,000 rows and 16 columns of various data/projects which include categories such as poetry, drinks, food, games/crafts, sports and much more. They have listed their goals (up to date on how much), pledged currency, main categories, country, date launched/deadline and currency to fund these projects. The data was collected from the years 2009 - 2018 for the various projects.The purpose of this data is to acknowledge different successfull/unsuccessful projects and which idea or project is the most common within the dataset, and if it has reached its milestone. The dataset was initially created as a standpoint for a twitter bot to tweet every time a project had reached its desired milestone and for public interest to expand upon The data was collected by a human who is a kickstarter crowdfunding enthusiast developing ideas for these projects for the future such as apps, websites, etc.