The Kickstarter Campaigns Dataset 2.0 is the new version of the older Kickstarter Campaigns dataset (https://www.kaggle.com/yashkantharia/kickstarter-campaigns). I've added some new columns and updated the dataset, I am publishing this as another dataset.

This dataset contains Kickstarter's web scraping data from webrobots.io (https://webrobots.io/kickstarter-datasets/) which was combined, pre-processed, and created into a simple and easy to understand Dataset, containing various attributes about Kickstarter crowdfunding campaigns. The dataset includes projects from 2014 to 2020.

This data set can be used to create a model for a Kickstarter Campaign Success Prediction.

All the currency values are converted into appropriate amounts in USD as per the fx rate provided in the base dataset.

Acknowledgments

Data collected from webrobotos.io which provides web scraping services.

Inspiration

Dataset was created in order to create a model for the Kickstarter campaign success predictor.

Launched on April 28, 2009, Kickstarter is a Public Benefit Corporation based in Brooklyn, New York. It is a global crowdfunding platform that helps to fund new creative projects and ideas through direct support from individuals (backers) from around the world who pledge money to bring these projects and ideas to life. Kickstarter supports many different kinds of projects. Everything from films, games, and music to art, design, and technology. Funding on Kickstarter is based on the all-or-nothing model. Backers who pledge their support towards a particular project won't be charged unless the funding goal has been reached. Successfully funded projects reward their backers with one-of-a-kind experiences, e.g., limited editions, or copies of the creative work being produced. This study includes three datasets: (1) Kickstarter Project (public-use file), (2) Backer Location file, and (3) Kickstarter Project (restricted-use file). The public-use Kickstarter Project dataset contains detailed information about all successful and unsuccessful Kickstarter projects (N=610,015) from 2009-2023, including the project category and subcategory, project location (city, state (for U.S.-based projects), and country), funding goal in original and U.S. currencies, amount pledged in dollars, and the number of backers for each project. The restricted file adds the project title, 150-character project description, and the URL for the project on the Kickstarter site. The Backer Location dataset includes information about backers' country and state and the total amount pledged for each geographic location.

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?

Dataset

This dataset was created by toshimelonhead

Released under Other (specified in description)

Contents

Dataset

This dataset was created by Amir Vahid

Contents