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Python Analysis: Chicago, NYC and DC Bike-share Data displaying results for what hour; what month; what route; and/or, what weekday is the most popular within these three urban areas (Springboard Data Analytics Track - Capstone Project Two)

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Springboard Data Analytics Track - Capstone Project Two

Explore US Bikeshare Data

  1. A given end-user inputs an inquiry regarding relevant information pertaining to planning their bikeshare usage
  2. Text-display output regarding bikeshare information for three locations (Chicago, New York City and/or Washington, DC)
  3. Options to review data include...
  • what hour;
  • what month;
  • what route; and/or,
  • weekday is the most popular for customers to utilize this service?

These and other data analysis, related-results have practical purposes for inventory control and promotional campaigns therein potentially increasing overall bikeshare rentals and/or supporting other business-related activities ranging from expansion to other locations to business forecasting. ©John S. Rajeski, Ed.D.

References
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Style Guide for Python Code -
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Python Analysis: Chicago, NYC and DC Bike-share Data displaying results for what hour; what month; what route; and/or, what weekday is the most popular within these three urban areas (Springboard Data Analytics Track - Capstone Project Two)

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