Bike Sharing Analysis (Jan–Jun 2017)

A Python project to explore US bike-sharing data (Chicago, New York City, Washington) from Jan–Jun 2017. It’s a terminal-driven app: you choose city, month (or all), and day of week (or all). The program prints quick stats:

• most common month/day/start hour
• most common stations
• most common combination of start station and end station
• total travel time, mean travel time
• user types
• user gender
• user birth-year stats

Program can also show charts, including:

• Daily trips (with optional 7-day smoothing for readability)
• Hourly profile (0–23) for a given month and/or weekday

Additionally two plots are saved to /out:

• Comparison of mean of rentals number per 7 day window for three cities during Jan - Jun
• Comparison of median travel time per 7 day window for three cities during Jan - Jun

Data columns expected in CSVs: Start Time, End Time, Trip Duration, Start Station, End Station, User Type, Gender, Birth Year.

Installation Instructions and Software Dependencies

Requirements:

• Python 3.11+
• pip

1. Clone and enter the project

git clone https://github.com/<you>/bikesharing_interactive.git
cd bikesharing_interactive

2. Create & activate a virtual environment

• macOS/Linux:

    python3.11 -m venv .venv
    source .venv/bin/activate

• Windows (PowerShell):

    python -m venv .venv
    .\.venv\Scripts\Activate.ps1

3. Install dependencies from requirements.txt

python -m pip install -U pip setuptools wheel
python -m pip install -r requirements.txt

4. Verify install

python -c "import pandas, matplotlib; print('OK')"

Common Usage Information

You already have an input loop that asks for city / month / weekday. After reading those, it is possible get a snippet of the raw data for each person from the .csv table, finally you can get a plot for the city / month / weekday that was chosen. Additionally, two graphs that are saved to /out can be redrawn.

NOTE: When code prompts for user input for month or day of the week, input format can be either numerical:

• [1,2,...] or [01,02,...]

or text :

• for months [Jan, Feb, ..., All] or [January, February, ..., June, All]
• for day of the week [Mon, Tue,..., All] or [Monday, Tuesday, ..., Sunday, All]

If the parameter is all, code will analyse all possible entries. All months means consider all months, all days of the week means consider all days.

Also, prompts are case insensitive. For example, those two prompts are the same:

# First prompt
Enter a month you want to get data on (all, january, february...): 
01
Enter a day of the week you want to get a data on (all, monday, tuesday...): 
1

# Second prompt
Enter a month you want to get data on (all, january, february...): 
jan
Enter a day of the week you want to get a data on (all, monday, tuesday...): 
Monday

CLI (interactive) run:

# Example: run your script (replace with your actual entry point)
python ./bikeshare_2.py

The script will prompt for:

• City: chicago, new york city, washington
• Month: 1..6 or all
• Day of week (DOW): 1..7 (Mon=1 … Sun=7) or all

It prints summary stats to the terminal and asks user if they want to

• See first 5 rows of raw data (formatted)
• Redraw generated charts under out/.
• See the graphical representation of the data

Suggested visualizations per selection: To avoid messy or meaningless plots, visuals are based on the user’s filter:

• month = all, dow = all or month = specific, dow = all Count of Daily trips (7-day rolling mean)
• month = all, dow = specific or month = specific, dow = specific Hourly profile for that weekday in that month