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May Edition: Data Visualization

9 Articles To Help You Create Beautiful Visualizations

Using a creative and attractive visualization is one of the best ways to draw attention to the key messages and trends in your data, enabling an intuitive understanding of the same. Now there are many different tools and resources that you can use to create these data visualizations.

Lately on Towards Data Science, there have been several great articles highlighting interesting ways to visualize data. For the month of May, we’ve handpicked a selection of the top articles to help you learn how to visualize your data.


A candid conversation about data science with Allen Downey

Part of A candid conversation series by Ryan Louie, in this conversation Ryan discusses with Allen Downey – Professor of Computer Science at Olin College , author and blogger – how attitude towards non-technical audiences impact a data scientist’s work and how to define algorithmic bias. (8 min read)


In Defense of Simplicity, A Data Visualization Journey

An introductory article about the importance of Data Visualization and the path and philosophy of the writer Irene Ross in this field. (7 min read)


Visualization of 10 Years of Twitter Data

This article by Tanyoung Kim shows you how you can visualize Twitter data to uncover insights about connections between friends, use of Twitter over time, and other patterns of behavior. (5 min read)


Visualizing Police Killings

This article by Olagunju Abdul-Hammid shows how to use visualizations for exploratory data analysis on a U.S. dataset around police killings. (4 min read)


CityClass project

Part of a long-time project aitecture.com, Roman Kuchukov shows how AI can be used on particular tasks such as recognising urban patterns giving Russian cities as example. (5 min read)


Artificial Intelligence Aids Medical Researchers in Uncovering Genetic Signature for Severe Asthma

Devi Ramanan guides us through studies on the discovery of a 1693 gene signature using artificial intelligence to meaningfully distinguish severe asthmatics from non-asthmatics and mild-to-moderate asthmatics. (6 min read)


Finally we also recommend reading the articles from Hannah Yan Han, who is currently on a 100 days projects challenge on data science and visual storytelling: #100dayprojects. Here are some of the highlights:

20 comfort food college students consume the most when stressed, bored, sad or happy

A fun take on college students food preferences according to different moods. (2 min read)

Which airlines are the most dangerous

An analysis on 5000 crashes recorded between 1908 and 2009 to try and gain insights for informed decisions on carrier choices. (2 min read)

A geospatial visualization on 10 years of global terrorism

An overview of the last 10 years of global terrorism, analysing the geolocation of the attacks as well as the types of attacks and their evolution. (3 min read)


We also thank all the great new writers who joined us recently Eric Le, Nicola Bernini, Jason I. Carter, Deepak Amirtha Raj, Cliff Eversdyk, Ashis Samal, Ryan Louie, Lucas Colucci, swede white, Yetty Sanni, gk_, Alexander Barriga, Devi Ramanan, Roman Kuchukov, and many others. We invite you to take a look at their profiles and check out their work.

Cherie & Inês.


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