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Kickstarter Analytics Dataset
Data Science and Analytics
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About
This dataset contains a large collection of Kickstarter projects, providing insights into the crowdfunding landscape. Its main goal is to assist researchers and analysts in forecasting whether projects will successfully meet their funding targets or not. The data includes diverse project types, such as technology start-ups, various creative arts, and social impact initiatives, making it a valuable asset for understanding the elements that lead to project outcomes.
Columns
- ID: A distinct numerical identifier for each Kickstarter project. Values range from 5,971 to 2,147,476,221.
- Name: The title of the Kickstarter project. There are 372,061 unique project names.
- Category: The primary classification of the project, with 'Film & Video' accounting for 17% and 'Music' for 13% of projects.
- Subcategory: A more specific classification within the main category, such as 'Product Design' (6%) or 'Documentary' (4%).
- Country: The country where the project originated. The United States represents 78% of the projects in the dataset.
- Launched: The exact date and time when the project was launched on the Kickstarter platform. Dates span from 22nd April 2009 to 2nd January 2018.
- Deadline: The scheduled date by which the crowdfunding campaign was set to conclude. Deadlines range from 3rd May 2009 to 3rd March 2018.
- Goal: The monetary target in US Dollars (USD) the creator aimed to raise. Goals vary significantly, from 0 to 166 million USD, with an average of 45.9k USD.
- Pledged: The total amount of money in US Dollars (USD) actually pledged by backers to the project. Amounts range from 0 to 20.3 million USD, with an average of 9.12k USD.
- Backers: The total number of unique individuals who pledged money to the project. The number of backers ranges from 0 to 219,000, with an average of 107 backers per project.
- State: The current and final status of the project as of 2nd January 2018. Projects are classified as 'Failed' (53%), 'Successful' (36%), or 'Other' (12%).
Distribution
The dataset is provided as a CSV file, named
kickstarter_projects.csv, and has a file size of 49.22 MB. It consists of 11 columns and approximately 375,000 records or rows.Usage
This dataset is well-suited for a range of analytical applications, including:
- Developing predictive models to forecast the success or failure of crowdfunding campaigns.
- Identifying key factors that contribute to project success, such as funding targets, project categories, and sources of funding.
- Informing investment choices for potential backers or venture capitalists.
- Guiding future crowdfunding campaigns for entrepreneurs and creators by learning from past patterns.
- Market research into the crowdfunding ecosystem and platform dynamics.
Coverage
The dataset includes Kickstarter projects launched between 22nd April 2009 and 2nd January 2018, with campaign deadlines extending up to 3rd March 2018. Geographically, projects originate from 22 different countries, with the United States being the most prominent, representing 78% of the data. The dataset spans a broad array of project types, from technology start-ups to artistic endeavours and social impact initiatives.
License
Attribution 4.0 International (CC BY 4.0).
Who Can Use It
This dataset is particularly valuable for:
- Researchers and analysts focusing on data science, machine learning, and statistical analysis of crowdfunding trends.
- Entrepreneurs and creators planning their own Kickstarter campaigns, who want to understand success drivers.
- Investors seeking to make informed decisions about supporting crowdfunding projects.
- Students and educators for learning and teaching about data analysis, predictive analytics, and business case studies.
Dataset Name Suggestions
- Kickstarter Project Success Predictions
- Crowdfunding Campaign Outcomes
- Kickstarter Analytics Dataset
- Project Funding Success
- Global Crowdfunding Insights
Attributes
Original Data Source: Kickstarter Analytics Dataset
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