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

matplotlib: plotting with Python

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view cool stats related to your discord account.

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Kglab - an abstraction layer in Python for building knowledge graphs

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Data aggregated from the reports found at the MCPS COVID Dashboard into a set of visualizations.

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A high-level plotting API for pandas, dask, xarray, and networkx built on HoloViews

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ETCHART YANG 1 Jan 06, 2022
Python toolkit for defining+simulating+visualizing+analyzing attractors, dynamical systems, iterated function systems, roulette curves, and more

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2021 grafana arbitrary file read

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