A great option for representing different stages of a process

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Funnel chart made with Plotly— Image by the author

Matplotlib

import matplotlib.pyplot as plty = [5,4,3,2,1]
x = [80,73,58,42,23]
plt.barh(y, x)


Use this intuitive tool to simplify mapping


How to visualize real-time data with Python’s Matplotlib

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CPU and memory visualization — Image by the author


When and how to use texts in your data visualizations

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Random line chart — Image by the author

Titles, Subtitles, Captions, and Labels

import matplotlib.pyplot as plt# data spam = [263.12, 302.99, 291.23, 320.68…


How to improve the visualization of your cluster analysis

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Scatter Plots — Image by the author

Scatter Plots

import pandas as pddf = pd.read_csv('data/Pokemon.csv')# prepare data
types = df['Type 1'].isin(['Grass', 'Fire', 'Water'])
drop_cols = ['Type 1', 'Type 2', 'Generation', 'Legendary', '#']
df = df[types].drop(columns = drop_cols)
df.head()


Exploring the basics of this fundamental task with dplyr

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Image from pixabay — congerdesign


How to use this unique solution for displaying three variables composition

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Ternary plot — Image by the author


What I learned from creating the same visualization with Python and R

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Image by the author — Drawn with R


Exploring options for one of the hardest tasks in data visualization

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Venn Diagram — Image by the author


How to easily create gifs to animate your visualizations

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Scatter Letters — Image by the author

Thiago Carvalho

Data visualization enthusiast

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