Include the date you created this project and README file. July 18 2019
Udacity Python Project - Bikeshare Analysise
This analysis uses data from a bike sharing product from the cities of New York, Washington & Chicago.
The analysis includes the following functions and measurements: time_stats(df, month, day)
- return the month with the most rides in the dataset along with the number of rides
- same for day of the week
- same for hour of the day
station_stats(df)
- identify the most common station for departures, and number of rides
- same for arrival station
- find the most common trip, ie. Departure & Arrival station combination
trip_duration_stats(df)
- all stats include stats for seconds, minutes, hours, days
- sum of all travel time
- average trip duration
- max trip duration
cust_type_stats(df)
- analysis for User type of the rider along with number of rides
gender_stats(df)
- gender analysis of riders, not all datasets include this, only done for the sets where this is included
age_stats(df)
- age stats of ride
- oldest riders and number of rides
- youngest riders & number of rides
- average age of riders & number of rides for that age group
user_stats(df) -run cust_type, gender_stats, age_stats
chicago.csv washington.csv new_york_city.csv
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