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A comprehensive data analysis comparing the city of Louisville between the years 2008 and 2016. Utilized Python for data exploration and visualization, employing both Sweetviz and Pandas Profiling for in-depth insights. The analysis covers various aspects, providing a holistic view of the city's dynamics and changes over the specified time frame.

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MugundhanY/Louisville-City-Data-Analysis

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Louisville City Data Analysis

This repository contains Python code for conducting a comprehensive data analysis on the city of Louisville, comparing the years 2008 and 2016. The analysis involves using Sweetviz and Pandas Profiling for insightful visualizations and statistical summaries.

Requirements

  • Python 3.x
  • Pandas
  • Sweetviz
  • Pandas Profiling

Install the required libraries using:

pip install pandas sweetviz pandas-profiling

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A comprehensive data analysis comparing the city of Louisville between the years 2008 and 2016. Utilized Python for data exploration and visualization, employing both Sweetviz and Pandas Profiling for in-depth insights. The analysis covers various aspects, providing a holistic view of the city's dynamics and changes over the specified time frame.

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