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Bicycle sharing demand analysis using R

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Evelyn Zoubi

In this project, I analyzed bicycle sharing demand on different days, throughout different temperatures, seasons and weekdays vs. weekends. Through my analysis I predicted the demand at a certain weather temperature.

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Bike Sharing Demand R Project Evelyn Zoubi
Bike rentals throughout various temperatures (Celsius)
Bike rentals throughout 2 years correlated with various temperatures (Celsius)
Bike rentals throughout the seasons
Workday vs. Non-workday
How many bikes would be rented at 25属C temp.test <- data.frame(temp=c(25))> predict (temp.model,temp.test) 235.3097 bikes
Model that predicts the count based on

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Bicycle sharing demand analysis using R

Editor's Notes

  1. Scatter plot (ggplot)
  2. Box plot per season
  3. Working Vs. non-working days