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Detailed Exploratory Data Analysis in Python and data visualization

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Ford GoBike System Data Exploration

This project demonstrates mastery of the data analytics cycle. Data Gathering, Wrangling, EDA, Explanatory Data Analysis, Communicating Insights ⭐⭐⭐⭐

All code is Original, Expert reviewed, and a Comprehensive guide for beginners 🎊🎊

Goal

Data Wrangling and Exploration to determine features affecting user behavior and usage patterns of bikes in the San Francisco bay area.

Data Visualizations

The dashboards below were created using Tableau and are included as files in this repo.

Dashboard 1

image1

Dashboard 2

image2

Additional Information:

To create the slide deck from jupyter notebook, use the following code and ensure you have the output-toggle.tpl file in the same directory as the notebook file. Also, assign a slide type to each cell you want to present such as slide, sub-slide, fragment, notes,.etc. To do this follow the steps:

  • Click View in the jupyter notebook toolbar
  • Then Cell Toolbar
  • Next Slideshow

picture guide

  • Assign the slide show type to each cell in your notebook and run the code below: jupyter nbconvert eda_ford_gobike_system.ipynb --to slides --template output-toggle.tpl --post serve

Run the code in your terminal, command prompt, or anaconda prompt.

Visit my Tableau page to see other visualizations

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