Your challenge is to play the role of a Divvy analyst as part of the Divvy Case Study.
1. Your first step will be to create a plan for a data story by submitting a report that features a structurally sound pyramid (i.e., adheres to the Minto Pyramid Principle rules discussed in the module).
2. After drawing a pyramid structure and Situation, Complication, Question (SCQ) introduction lines, create a plan for your analysis by filling in the boxes of your pyramid structure. Your plan should include a hypothesis, at least three key questions for analysis, and at least three pieces of data and sources for those data for each key question. Your plan will be constructed most efficiently using the Minto “Top-Down” approach and incorporating clues provided in the case study (i.e., What is Lindsay Silk-Kremenak’s hypothesis? What key questions has she discussed with the team?). By doing so, your pyramid will expand on the following generic form:
Consider the following sources of information as you identify data to complete the bottom row of your pyramid. Each data source detailed here is accessible and provides insights that are relevant to the Divvy case study. Note that while it is perfectly fine to limit the data search to these sources, you are welcome to expand your search for insights beyond this list.
• DIVVY SYSTEM DATA: Historical trip data available to the public provided by Divvy. In this data you will find anonymized information on each Divvy trip including Trip start day and time; Trip end day and time; Trip start station; Trip end station; and Rider type (Member, Single Ride, and Day Pass).
• DIVVY BICYCLE SYSTEM: A list of the stations where one can pick up and return bicycles from the Divvy bicycle sharing system. This dataset contains all stations and can be exported in various formats (see “Export”).
• CHICAGO TRANSIT AUTHORITY DATA: Data owned and maintained by the Chicago Transit Authority (CTA) including ridership and station location information for CTA-managed train and bus lines.
• FACEBOOK AUDIENCE INSIGHTS: Source for aggregate demographic and psychographic information about people on Facebook created and maintained by Facebook. The website uses graphs to compare features of Facebook audiences but the data can be downloaded in a comma-separated-values (CSV) format.
• GOOGLE TRENDS: Public tool created by Google that analyzes the popularity of top search queries in Google Search across various regions and languages. The website uses graphs to compare the search volume of different queries over time but the data can be downloaded in a CSV format.
• TWEET REACH: Free tool for analyzing Twitter hashtags, user accounts, and other activity owned by Union Metrics. The website uses graphs to detail Twitter data but the data can be downloaded in a CSV format.
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