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

Analytical Web Apps for Python, R, Julia, and Jupyter. No JavaScript Required.

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The Metabolomics Integrator (MINT) is a post-processing tool for liquid chromatography-mass spectrometry (LCMS) based metabolomics.

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Sören Wacker 0 May 04, 2022
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patchwork for matplotlib

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Adam Ross 2 Dec 16, 2022
Peloton Stats to Google Sheets with Data Visualization through Seaborn and Plotly

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Interactive plotting for Pandas using Vega-Lite

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Leland McInnes 91 Dec 29, 2022
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