Tag: Data Visualization

How to Make Your Plots Appealing in Python

Data visualization is arguably the most important step in a data science project because it’s how you communicate your findings to the audience. You may do this for multiple reasons: to convince investors to finance your project, to highlight the importance of changes at your company, or just to present the results in the annual […]

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21 Places to Find Free Datasets for Data Science Projects

A collection of the best places to find free data sets for data visualization, data cleaning, machine learning, and data processing projects.

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Six Reasons Why You Should Learn R for Data Science

Why should you learn R programming when you’re aiming to learn data science? Here are six reasons why R is the right language for you.

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Presentation Tips to Improve Your Data Science Communication Skills

Improve your data science communication skills and make your presentations more convincing by following these simple steps.

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What to Consider When Choosing Colors for Data Visualization

This post was written by Lisa Charlotte Rost. Lisa is a designer at Datawrapper. Based in Berlin, she organizes the Data Vis meetup and enjoys the few sunny days there. This article was originally posted on Datawrapper, and has been reposted with perlesson. Data Visualisation can be defined as representing numbers with shapes – and […]

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Generating Climate Temperature Spirals in Python

In this tutorial, we’ll recreate Ed Hawkins’ climate spirals in Python using pandas and matplotlib.

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This Artist Turns the Forest Floor into Data Visualizations

Editor’s note: This post was written as part of a collaboration with iDataLabs, a marketing intelligence company. Author Julia Cook works in marketing at iDataLabs. We’re all familiar with data visualizations — word clouds, pie charts, pivot tables — but how does one put enquiries in paint? Patty Haller, a landscape artist from Seattle WA, may have figured that […]

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Using Box Plots to Explore Women’s Height Data

I’ve recently been working on the Digital Panopticon, a digital history project that has brought together (and created) massive amounts of data about British prisoners and convicts in the long 19th century, including several datasets which include heights for women. Adult height is strongly influenced by environmental factors in childhood, one of the most important […]

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Learning From Bank Data: Women Across the World

This post looks at the World Bank World Development Indicators (WDI). This massive collection has data in several categories: demographic, education, work, poverty, health. It includes both country-level data and various aggregates by different criteria: geographical regions, income levels, etc. The UK Data Service has a useful guide as well as access to the data. […]

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Visualizing Women’s Marches: Part 2

This post is the second in a series on visualizing the Women’s Marches from January 2017. In the first post, we explored the intensive data collection and data cleaning process necessary to produce clean pandas dataframes. Data Enrichment Because we eventually want to be able to build maps visualizing the marches, we need latitude and […]

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Visualizing Women’s Marches: Part 1

In celebration of Women’s History Month, I wanted to better understand the scale of the Women’s Marches that occurred in January 2017. Shortly after the marches, Vox published a map visualizing the estimated turnout across the entire country. This map is excellent at displaying: locations with the highest relative turnouts hubs and clusters of where […]

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How to Generate FiveThirtyEight Graphs in Python

If you read data science articles, you may have already stumbled upon FiveThirtyEight’s content. Naturally, you were impressed by their awesome visualizations. You wanted to make your own awesome visualizations and so asked Quora and Reddit how to do it. You received some answers, but they were rather vague. You still can’t get the graphs […]

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1 tip for effective data visualization in Python

Yes, you read correctly — this post will only give you 1 tip. I know most posts like this have 5 or more tips. I once saw a post with 15 tips, but I may have been daydreaming at the time. You’re probably wondering what makes this 1 tip so special. “Vik”, you may ask, […]

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Tutorial: Comparing 7 Tools For Data Visualization in Python

Learn how seven Python data visualization tools can be used together to perform exploratory data analysis and aid in data viz tasks.

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Data Scientist Interview: Benjamin Root

Benjamin Root is a contributor to the Matplotlib data visualization library and focuses on improving documentation as well as the mplot3d toolkit within Matplotlib.

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