https://github.com/shivabajelan/datavisualizationrepository
The Crowdfunding-Analysis with Excel project analyses 1,000 crowdfunding projects and concludes that the US, theater, film and video, and music industries have the most campaigns, with a success rate of 50-60%. The dataset lacks some key data points such as gender and age of backers and distribution of campaigns across different US states.
https://github.com/shivabajelan/datavisualizationrepository
excel excel-visualisation
Last synced: about 2 months ago
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The Crowdfunding-Analysis with Excel project analyses 1,000 crowdfunding projects and concludes that the US, theater, film and video, and music industries have the most campaigns, with a success rate of 50-60%. The dataset lacks some key data points such as gender and age of backers and distribution of campaigns across different US states.
- Host: GitHub
- URL: https://github.com/shivabajelan/datavisualizationrepository
- Owner: Shivabajelan
- License: mit
- Created: 2023-11-19T06:58:03.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2024-12-03T00:50:29.000Z (11 months ago)
- Last Synced: 2025-03-05T05:26:44.380Z (7 months ago)
- Topics: excel, excel-visualisation
- Homepage:
- Size: 427 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Crowdfudning-Analysis with Excel
Crowdfunding platforms like Kickstarter and Indiegogo have been growing in success and popularity since the late 2000s. From independent content creators to famous celebrities, more and more people are using crowdfunding to launch new products and generate buzz, but not every project has found success. To receive funding, the project must meet or exceed an initial goal, so many organisations dedicate considerable resources looking through old projects in an attempt to discover “the trick” to finding success. I organised and analysed a database of 1,000 sample projects to uncover any hidden trends.