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

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📊 Extensions for Matplotlib

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Data visualization using matplotlib

Data visualization using matplotlib project instructions Top 5 Most Common Coffee Origins In this visualization I used data from Ankur Chavda on Kaggl

13 Oct 27, 2021
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This project is created to visualize the system statistics such as memory usage, CPU usage, memory accessible by process and much more using Kibana Dashboard with Elasticsearch.

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