$ pip3 install -r requirements.txt
$ python3 bikeshare.py
Hello! Let's explore some US bikeshare data!
Which city do you want to explore Chicago, New York or Washington?
> Chicago
All right! now it's time to provide us a month name or just say 'all' to apply no month filter.
(e.g. all, january, february, march, april, may, june)
> all
One last thing. Could you type one of the week day you want to analyze? You can type 'all' again to apply no day filter.
(e.g. all, monday, sunday)
> monday
----------------------------------------
Calculating The Most Frequent Times of Travel...
The most common month is : 6
The most common day of week is : Monday
The most common start hour is : 17
This took 0.011397838592529297 seconds.
----------------------------------------
Calculating The Most Popular Stations and Trip...
The most commonly used start station : Streeter Dr & Grand Ave
The most commonly used end station : Streeter Dr & Grand Ave
The most commonly used start station and end station : Streeter Dr & Grand Ave, Streeter Dr & Grand Ave
This took 0.05916190147399902 seconds.
----------------------------------------
Calculating Trip Duration...
Total travel time : 39945856
Mean travel time : 890.039348499365
Max travel time : 83766
Travel time for each user type:
Customer: 13933836
Subscriber: 26012020
This took 0.02193307876586914 seconds.
----------------------------------------
Calculating User Stats...
Counts of user types:
Subscriber: 37316
Customer: 7565
Counts of gender:
Male: 28646
Female: 8689
The most common birth year: 1989.0
The most recent birth year: 2016.0
The most earliest birth year: 1899.0
This took 0.03065013885498047 seconds.
----------------------------------------
Calculating Dataset Stats...
The number of missing values in the chicago dataset : 15088
The number of missing values in the 'User Type' column: 15088
Would you like to examine the particular user trip data? Type 'yes' or 'no'
> yes
{
"Unnamed: 0": 304487,
"Start Time": 1488808178000,
"End Time": "2017-03-06 13:55:28",
"Trip Duration": 350,
"Start Station": "Christiana Ave & Lawrence Ave",
"End Station": "St. Louis Ave & Balmoral Ave",
"User Type": "Subscriber",
"Gender": "Male",
"Birth Year": 1986.0,
"month": 3,
"day_of_week": "Monday",
"hour": 13
}
{
"Unnamed: 0": 1473887,
"Start Time": 1498467680000,
"End Time": "2017-06-26 09:11:06",
"Trip Duration": 586,
"Start Station": "Clinton St & Washington Blvd",
"End Station": "Canal St & Taylor St",
"User Type": "Subscriber",
"Gender": "Male",
"Birth Year": 1990.0,
"month": 6,
"day_of_week": "Monday",
"hour": 9
}
{
"Unnamed: 0": 135470,
"Start Time": 1486404047000,
"End Time": "2017-02-06 18:09:00",
"Trip Duration": 493,
"Start Station": "Stetson Ave & South Water St",
"End Station": "Clinton St & Washington Blvd",
"User Type": "Subscriber",
"Gender": "Male",
"Birth Year": 1979.0,
"month": 2,
"day_of_week": "Monday",
"hour": 18
}
{
"Unnamed: 0": 1359055,
"Start Time": 1497894197000,
"End Time": "2017-06-19 17:59:35",
"Trip Duration": 978,
"Start Station": "Larrabee St & Armitage Ave",
"End Station": "Dearborn Pkwy & Delaware Pl",
"User Type": "Subscriber",
"Gender": "Female",
"Birth Year": 1993.0,
"month": 6,
"day_of_week": "Monday",
"hour": 17
}
{
"Unnamed: 0": 165328,
"Start Time": 1486995445000,
"End Time": "2017-02-13 14:22:52",
"Trip Duration": 327,
"Start Station": "University Ave & 57th St",
"End Station": "Kimbark Ave & 53rd St",
"User Type": "Subscriber",
"Gender": "Female",
"Birth Year": 1984.0,
"month": 2,
"day_of_week": "Monday",
"hour": 14
}
Would you like to examine the particular user trip data? Type 'yes' or 'no'
> no
Would you like to restart? Enter yes or no.
no