Fuel Economy Data Analysis

This study uses Python and Jupyter notebooks to compare how efficient vehicles manufactured in 2008 are compared to vehicles manufactured in 2018.

Name		Name	Last commit message	Last commit date
Latest commit History 10 Commits
README.md		README.md
all_alpha_08.csv		all_alpha_08.csv
all_alpha_18.csv		all_alpha_18.csv
assessing.ipynb		assessing.ipynb
cleaning_column_labels.ipynb		cleaning_column_labels.ipynb
exploring_visuals-case-2.ipynb		exploring_visuals-case-2.ipynb
filter_drop_dedupe.ipynb		filter_drop_dedupe.ipynb
fix_datatypes_air_pollution.ipynb		fix_datatypes_air_pollution.ipynb
fix_datatypes_cyl.ipynb		fix_datatypes_cyl.ipynb
fix_datatypes_mpg_greenhouse.ipynb		fix_datatypes_mpg_greenhouse.ipynb

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