hfc39 / pdsnd_github Goto Github PK

Include the date you created this project and README file.

Replace the Project Title

Using python and pandas package to analysis the bikeshare data provided by Udacity, and write interactive code to get user's request on data selection.

chicago.csv new_york_city.csv washington.csv

The informations provided in the final code are:

#1 Popular times of travel (i.e., occurs most often in the start time) most common month most common day of week most common hour of day

#2 Popular stations and trip most common start station most common end station most common trip from start to end (i.e., most frequent combination of start station and end station)

#3 Trip duration total travel time average travel time

#4 User info counts of each user type counts of each gender (only available for NYC and Chicago) earliest, most recent, most common year of birth (only available for NYC and Chicago)

#5 Provide the option to view 5 rows of raw data provide options for data viewing provide options to keep viewing data