Data visualization using matplotlib

Overview

Data visualization using matplotlib

project instructions

Top 5 Most Common Coffee Origins

In this visualization I used data from Ankur Chavda on Kaggle that had information about coffees rated by the Coffee Quality Institute in a csv dataset. There were many details recorded including: species, owner, country of origin, farm name, lot number, mill, company, and altitude. I focused on origin to determine which top 5 origins came up the most often. Pie Chart

Coffee Production and Exports in 2018

In this visualization I used data from Yaman Eren Ay on Kaggle. There were many datasets available regarding coffee exports, production, imports, and prices. Using two csv datasets on coffee exports and production, I compared exports and production for the top 5 largest producers of coffee in 2018- Brazil, Vietnam, Colombia, Indonesia, Honduras, and Ethiopia. Coffee Exports vs Production in 2018

Statistical data visualization using matplotlib

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Apache Superset is a Data Visualization and Data Exploration Platform

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This is my favourite function - the Rastrigin function.

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A minimal Python package that produces slice plots through h5m DAGMC geometry files

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termplotlib is a Python library for all your terminal plotting needs.

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Declarative statistical visualization library for Python

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