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Given the provided data, what are three conclusions we can draw about Kickstarter campaigns?
a. Most kickstarters are successful
b. Most of the kickstarters category is theater
c. Kickstarters with a goal of greater than 50000 have the highest failure rate
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What are some limitations of this dataset?
a. It doesn’t show the different levels a backer could commit
b. A single large donation could skew the average donation heavily
c. It doesn’t tell whether the kickstarter continued to accept donations after the goal
d. The pledged money isn’t normalized
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What are some other possible tables and/or graphs that we could create?
a. Average donation ranges v. state
b. Location v state
c. Location v backers
HW1
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