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Data visualization using Python with pandas, matplotlib, numpy and seaborn.

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Avocado price data visualization

This dataset is from Kaggle.com, the original source can be found here.

This repository is a demonstration of simple data visualization using Python, and some popular libraries such as pandas, matplotlib, numpy, and seaborn.

These files were part of the final project for the course CS110 - Introduction of Computer Programming @ North Seattle College. It was the very first programming class I took.

Graph showcase

  1. Price per quarter (Violin Plot)

Price of Avocados in Each Quarter

  1. Price differences of Organic vs Conventional avocados by quarters (Box Plot)

price difference between oragnic and conventional avocados by quarters

  1. Average price of avocados for all dates (Scatter Plot)

Avg price of avocados for all dates

  1. Max price of avocados by region (Bar graph)

Max price of avocados by region

  1. Volume of avocado sales in Seattle (Bar graph)

Volume of avocado sales in Seattle


In the script, there's a helper function that generate random avocado prices within a given range. It also replies with a snarky comments to sprinkle a little sense of humor to this quick project.

Thanks for reading to the end! 😃

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Data visualization using Python with pandas, matplotlib, numpy and seaborn.

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