Apple Crunch: Proposal
Proposal
Problem and Motivation |
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Problem: For many, acquiring enough finances to turn their idea into a business is a big issue so some would go for crowdfunding platforms as a means to obtain the required amount to start their business. Kickstarter is one of the more popular crowdfunding platform, but they have an "all or nothing" rule where the campaign cannot get the donated amount if it does not reach the goal set by the business. As of October 5th 2018, only about one in every three campaigns reach their funding goal, which means that most do not get the funding they need from Kickstarter.
Motivation: There is a need to understand what makes a successful campaign. Are there any attributes that sets apart projects that are successful? The team would like to create several visualizations on kickstarter campaign data to analyze trends and determine if certain attributes of a campaign such as "amount of funding set" affects its chances of succeeding. In the end, the team hopes that others can use the visualizations created in order to have a better understanding of how they should create their campaign to have a higher chance of success.
Data |
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The group will only use one csv file as the source of data.
Dataset
ks-projects-201801.csv from https://www.kaggle.com/kemical/kickstarter-projects#ks-projects-201801.csv
Details of Dataset
Column | Description |
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ID | ID of the campaign / project |
name | Name(Title) of the campaign / project |
category | Sub-category of the campaign |
main_category | Main category of the campaign |
currency | Currency used for funds of the campaign |
deadline | Until when the campaign will run |
goal | Goal amount to reach of the campaign in their currency |
launched | When this campaign started |
pledged | Amount pledged by donors in the currency of the campaign |
state | Status of the campaign (successful? failed?) |
backers | How many donors |
country | Which country is the campaigned launched |
usd pledged | Pledged amount converted to USD by KS conversion |
usd_pledged_real | Pledged amount converted to USD by fixer.io |
usd_goal_real | Goal amount converted to USD |
Survey of Related Work |
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Related Work | Points to Consider |
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The inforgraphic has presented various ideas to explore in terms of what kinds of visualizations to create. The inforgraphic mostly presented numbers and not an in depth visualization.
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This chart shows another point to consider which is how the number of backers affect the success rate of a project. The use of pie chart however, may not be what the group will use. | |
Example | Example |
Technical Challenges |
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Technical Challenge | Solution |
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Group is not that experienced and familiar with visualization softwares |
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Crawling Certain information such as the city or state of the campaign and the description of the campaign have to be obtained by crawling |
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No experience with javascript and D3 |
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