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EDA on Kickstarter Projects

This project is part of Udacity Data Analyst Nanodegree.

Data Source - https://www.kaggle.com/kemical/kickstarter-projects

Overview

Crowdfunding has become one of the main sources of initial capital for small businesses and start-up companies that are looking to launch their first products. Websites like Kickstarter and Indiegogo provide a platform for millions of creators to present their innovative ideas to the public. This is a win-win situation where creators could accumulate initial fund while the public get access to cutting-edge prototypical products that are not available in the market yet.

The dataset contain data on 379K projects started on Kickstarter between 2009-2018.

Steps.

1 Data Wrangling:

  • Removed a dubplicte column usd_pledge.
  • Removed unnecessary columns.

2 Analysis

  • Found the categories and sub categoris with most projects.
  • Found Average Goal, Pledge Amount.
  • Found Relation between Backers and USD Goal.
  • Number of projects by year.
  • Number of projects by country.
  • State of projects.
  • Total amount pledged by category.
  • Number of Successful project by main category.
  • Success rate of projects by year.
  • Top projects with highest set goals.
  • Top Successful projects.
  • Distribution of USD Goal and USD Pledged.
  • Average amount Pledged per Backer on each Category.
  • Number of Backers per category and their success ratio.
  • Project Success Ratio by country and category.

Requirements

  • R
  • ggplot2
  • dplyr
  • ggthemes
  • rworldmap
  • knitr
  • tidyr
  • gridExtra
  • grid

References

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EDA of Kickstarter Projects using R

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