Data Visualization Episodes

Data Visualization Articles 

Data Visualization Tutorials

Data Visualization Cheat Sheets

In this data storytelling and communication cheat sheet, you'll learn about best practices for crafting data stories.

Data Storytelling & Communication Cheat Sheet

Tableau is a business intelligence tool that allows you to effectively report insights through easy-to-use customizable visualizations and dashboards. This cheat sheet is designed to <a href="https://www.datacamp.com/learn/tableau">get you started with Tableau</a> and covers creating your first visualization, creating a dashboard, a data story, and more.&nbsp;
<a href="https://s3.amazonaws.com/assets.datacamp.com/email/other/Tableau+Cheat+Sheet.pdf"><img style="display: block; margin-left: auto; margin-right: auto;" src="https://res.cloudinary.com/dyd911kmh/image/upload/v1651236733/tableau_cheat_sheet_5f7309124a.png" alt="" width="500" /></a>
&nbsp;

In this Tableau Cheat Sheet, you'll get the download on creating your first visualization, top visualizations in Tableau, creating dashboards, stories, and more.

Tableau Cheat Sheet

Data visualization is one of the most widely-used data skills&mdash;and is often called the "gateway drug" into data science. In this data visualization cheat sheet, you'll learn about the most common data visualizations to employ, when to use them, and their most common use-cases.&nbsp;
<a href="https://s3.amazonaws.com/assets.datacamp.com/email/other/Data+Visualizations+-+DataCamp.pdf"><img style="display: block; margin-left: auto; margin-right: auto;" src="https://res.cloudinary.com/dyd911kmh/image/upload/v1650647503/Screenshot_2022_04_22_at_15_36_27_8c3d233ab3.png" alt="Data Visualization Cheat Sheet" width="500" /> </a>

In this data visualization cheat sheet, you'll learn about the most common data visualizations to employ, when to use them, and their most common use-cases. 

Data Visualization Cheat Sheet

Power BI is an efficient and powerful business intelligence tool designed for managing and analyzing data, and creating dynamic interactive dashboards that can be easily shared with others. This cheat sheet is designed to get you started with Power BI and covers creating your first visualization, working with Power Query and DAX, and more.&nbsp;
<a href="https://s3.amazonaws.com/assets.datacamp.com/email/other/Power+BI_Cheat+Sheet.pdf"><img style="display: block; margin-left: auto; margin-right: auto;" src="https://res.cloudinary.com/dyd911kmh/image/upload/v1649923333/Screenshot_2022_04_14_at_09_39_20_56189bb393.png" alt="" width="500" /></a>
&nbsp;

In this Power BI Cheat Sheet, you'll get the download on creating your first visualization, top visualizations in Power BI, using DAX, and more.

Power BI Cheat Sheet

The tidyverse is a powerful collection of R packages that you can use for data science. They are designed to help you to transform and visualize data. All packages within this collection share an underlying philosophy and common APIs.
As you might know, DataCamp recently launched the <a href="https://www.datacamp.com/courses/introduction-to-the-tidyverse">Introduction to the Tidyverse</a> course together with David Robinson, Data Scientist at Stack Overflow.
Now, DataCamp has created a tidyverse cheat sheet for beginners that have already taken the course and that still want a handy one-page reference or for those who need an extra push to get started on discovering this popular collection of packages. You must have already run into packages such as <code>ggplot2</code> and <code>dplyr</code>, so this cheat sheet will definitely come in handy!
It's a quick guide through the basics of manipulating and visualizing your data the powerful tools that the tidyverse has to offer in R!
<a href="http://datacamp-community-prod.s3.amazonaws.com/c1fae72f-d2d7-4646-9dce-dd0f8fb5c5e8"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1625839345/Tidyverse_Cheat_Sheet_For_Beginners_d4lkxp.png" /></a>

This tidyverse cheat sheet will guide you through the basics of the tidyverse, and 2 of its core packages: dplyr and ggplot2! 

Tidyverse Cheat Sheet For Beginners

Bokeh distinguishes itself from other Python visualization libraries such as Matplotlib or Seaborn&nbsp;in the fact that it is an&nbsp;interactive visualization library that is ideal for anyone who would like to quickly and easily create interactive plots, dashboards, and data applications.&nbsp;
Bokeh is also known for&nbsp;enabling high-performance visual presentation of&nbsp;large data sets in modern web browsers.&nbsp;
For data scientists, Bokeh is the ideal tool to build statistical charts quickly and easily; But there are also other advantages, such as the various output options and the fact that you can embed your visualizations in applications. And let's not forget that the&nbsp;wide variety of visualization customization&nbsp;options makes this Python library an indispensable tool for your data science toolbox.
As you might know, DataCamp recently launched the&nbsp;<a href="https://www.datacamp.com/courses/interactive-data-visualization-with-bokeh/" data-ol-has-click-handler="">Interactive Data Visualization with Bokeh</a>&nbsp;course together with&nbsp;<a href="https://www.continuum.io/people/bryan-van-de-ven" data-ol-has-click-handler="">Bryan Van de Ven</a>, Bokeh core contributor.&nbsp;
Now, DataCamp has created a Bokeh cheat sheet for those who have already taken the course and that still want a handy one-page reference&nbsp;or for those who&nbsp;need an extra push to get started.
In short, you'll see that this cheat sheet not&nbsp;only presents you with the five steps that you can go through to make beautiful plots but will also introduce you to the basics of statistical charts.&nbsp;
<a href="http://datacamp-community-prod.s3.amazonaws.com/f0c1e06f-53ba-4f3b-aa9f-b196221f55a3" target="_blank" rel="noopener" data-ol-has-click-handler=""><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1625838040/Python_Data_Visualization-_Bokeh_Cheat_Sheet_cjcnps.png" alt="Python Bokeh Cheat Sheet" /></a>

A handy cheat sheet for interactive plotting and statistical charts with Bokeh.

Python Data Visualization: Bokeh Cheat Sheet

Data visualization and storytelling with your data are essential skills that every data scientist needs to communicate insights gained from analyses effectively to any audience out there.&nbsp;
For most beginners, the first package that they use to get in touch with data visualization and storytelling is, naturally, Matplotlib: it is a Python 2D plotting library that enables users to make publication-quality figures. But, what might be even more convincing is the fact that other packages, such as Pandas, intend&nbsp;to build more plotting integration with Matplotlib as time goes on.
However, what might slow down beginners is the fact that this package is pretty extensive. There is so much that you can do with it and it might be hard to still keep a structure when you're learning how to work with Matplotlib. &nbsp;&nbsp;
DataCamp has created a Matplotlib cheat sheet for those who might already know how to use the package to their advantage to make beautiful plots in Python, but that still want to keep a one-page reference handy. Of course, for those who don't know how to work with Matplotlib, this might be the extra push be convinced and to finally get started with data visualization in Python.&nbsp;
(By the way, if you want to get started with this Python package, you might want to consider our <a href="https://www.datacamp.com/community/tutorials/matplotlib-tutorial-python/">Matplotlib tutorial</a>.)
You'll see that this cheat sheet presents you with the six basic steps that you can go through to make beautiful plots.&nbsp;
Check out the infographic by clicking on the button below:
<a href="http://datacamp-community-prod.s3.amazonaws.com/e1a8f39d-71ad-4d13-9a6b-618fe1b8c9e9" target="_blank" rel="noopener"><img src="https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1625838238/Matplotlib_Cheat_Sheet-_Plotting_in_Python_htbtut.png" alt="Python Matplotlib cheat sheet" /></a>

This Matplotlib cheat sheet introduces you to the basics that you need to plot your data with Python and includes code samples. 