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Analyze fuel economy data provided by the Environmental Protection Agency using NumPy, Pandas, and Matplotlib.

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emilylauyw/Udacity_DAND_CaseStudy2-Analyze_Fuel_Economy_Data

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Udacity DAND Case Study 2 - Analyze Fuel Economy Data

Udacity Data Analyst Case Study 2 - Analyze fuel economy data provided by the Environmental Protection Agency using NumPy, Pandas, and Matplotlib.

Description

Analyze fuel economy data for different car models from 2008 and 2018.

Files

  1. analyze_fuel_economy_data.ipynb contains a Jupyter Notebook that analyze fuel economy dataset.
  2. all_alpha_08.csv contains raw fuel economy data for year 2008.
  3. all_alpha_18.csv contains raw fuel economy data for year 2018.
  4. clean_08.csv contains clean fuel economy dataset for year 2008.
  5. clean_18.csv contains clean fuel economy dataset for year 2018.
  6. data_08.csv contains wokring copy of the fuel economy dataset for year 2008.
  7. data_18.csv contains wokring copy of the fuel economy dataset for year 2018.

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Analyze fuel economy data provided by the Environmental Protection Agency using NumPy, Pandas, and Matplotlib.

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