syverts1 / kickstarter_analysis

Kickstarter Analysis

Project analyzing the characteristics from a subset of kickstarter projects between 2009 and 2017.

Analysis done using Excel's PivotTable, PivotChart, functions, and conditional formatting

Projects by Category and Status

Projects by Subcategory and Status

Project Statuses Over Time

Conclusions

• The top 4 categories with the highest # of projects were:
  • Theatre
  • Music
  • Technology
  • Film & Video
• Although technology category was in the top 4 # of projects initiated. It didn’t have a high rate of success (34.8% of initiated projects were successful)
• The music category had the highest percentage of success with 77%

Limitations

• Source data given as part of class homework
• Limited date range
• Unsure if it is a representative sample

Future graph ideas

• 100% Stacked column chart to show the percentage of the state by category and by subcategory
• Stacked column chart of state by country
• Line graph of state by time (month and year)