Date created

Include the date you created this project and README file. July 18 2019

Project Title

Udacity Python Project - Bikeshare Analysise

Description

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

Files used

chicago.csv washington.csv new_york_city.csv

Credits

It's important to give proper credit. Add links to any repo that inspired you or blogposts you consulted.