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Data analysis using Jupyter Notebook and several supporting libraries. The core data set is related to the two-year historical log corresponding to years 2011 and 2012 from Capital Bikeshare system, Washington D.C., USA which is publicly available in: http://capitalbikeshare.com/system-data

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Bike Sharing Data Analysis

Setup environment (Windows)

python -m venv venv
.\venv\Scripts\activate
pip install pandas matplotlib seaborn streamlit

Run streamlit dashboard

di UNIX
streamlit run ./dashboard/dashboard.py
di Windows
streamlit run .\dashboard\dashboard.py

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Data analysis using Jupyter Notebook and several supporting libraries. The core data set is related to the two-year historical log corresponding to years 2011 and 2012 from Capital Bikeshare system, Washington D.C., USA which is publicly available in: http://capitalbikeshare.com/system-data

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  • Jupyter Notebook 95.9%
  • Python 4.1%