This project was created on Sep 07, 2019
Analysis of bike sharing data for 3 major US cities
OBJECTIVES: Identify usage patterns
HYPOTHESIS: Part 1: On which week days were bikes most often rented in Chicago? And is there a difference in usage behaviour by customer type? Part 2: Is there a difference in the duration of renting bikes based on the age of the customer in New York? Part 3: What is the average trip duration broken down by subscribers and customers in Washington?
TOOLS + FUNCTIONS: The data was analyzed with R Studio. The results of each hypothesis were displayed in a chart.
3 .csv files used to conduct the analysis: chicago.csv new-york-city.csv washington.csv
###Tips When using R Studio for the first time, don't miss to checkout the following links: https://www.r-bloggers.com/some-useful-tricks-in-rstudio/ http://www.cookbook-r.com https://google.github.io/styleguide/Rguide.xml
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