I’m a big believer that anyone can learn how to communicate their data in better ways. I’ve published more than 130 podcast episodes, and I don’t think any of my guests have come directly to data visualization, but instead have come from a range of areas like journalism, astronomy, economics, business, government, and more.
When it comes to learning how to best visualize your data, there is a plethora of great books, websites, blogs, and podcasts. In my Core Principles classes and workshops, I provide this cheat sheet as a summary of some of the core lessons. Obviously, this doesn’t cover everything, but I think it serves as a good reminder of best practices and core things to keep in mind.
You can take a look at the image versions below or download the high-res PDF version for yourself.
This post was awarded one the KDnuggets Gold Blog award for 2018 as one of the top blogs of the year.
Hi, I’m an editor of a Russian resource on DataViz (infographer.ru) and last week I’ve shared the link to this article on our Facebook page. I’ve got a lot of requests to translate and share it. I hope you don’t mind if I publish it on the website with the link to the original.
Hi Mariya,
Thanks for writing and I’m glad to hear you have shared this article. I’m happy to have you publish it on a separate website, as long as you credit and link to the original (which it sounds like you are going to do anyways!). If you’re interested in having me translate the original to Russian, please drop me an email directly and let’s see what we can do.
Thanks again,
Jon
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Hi Jon,
This is a really great cheat sheet, and also, I absolutely love your ideas on teaching data viz to kids. So, one comment about the cheat sheet, because I think you’ll find this an interesting angle. Regarding maps: increasingly, I’m finding that mapping information, even things like bar charts on maps, has this hidden value in that the viewer brings additional information to the understanding of the visualization, and sometimes, the geographic proximity allows you to see things you wouldn’t have if you viewed a series of bar charts, by state, alphabetically. Here’s a great example, I love this visualization so much.
https://www.census.gov/dataviz/visualizations/043/
Note what jumps out first – Katrina, and those deep blue dropping lines – they’re heartbreaking! But also, note Michigan, the Rust Belt. A different type of decline. Then look at N. Dakota – the oil boom. And if these data continued into this decade, you’d see the bust. But, now, check out the dip in Montana’s population as N. Dakota is booming, its probably these folks that are moving there for quick money. You would never notice Montana’s changes without the proximity to N. Dakota. Just wanted to give a plug to using maps. You gain sublime associations you may miss otherwise.
Thanks for your insights,
Rose
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This is a good,common sense article.Very helpful to one who is just finding the resouces about this part.It will certainly help educate me.
the core principles that you mentioned are really true !
Hello,
I work for Escola de Dados, a network that teaches people skills to work effectively with data in Brazil. We’ve read the cheatsheet and were wondering if you could give us permission to translate it to Portuguese in order to publish it on our website, with due credit for your work and a link to the original publication.
Kind regards,
Isis Reis.
Hi Isis,
Can you please email me directly with your request? You can reach me in the Contact section of the site (in the About tab).
Thanks,
Jon
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It’s great that you acknowledge the abundance of resources available for learning data visualization. Providing a cheat sheet as a summary of core lessons is a helpful way to reinforce best practices and key principles. While it may not cover everything, it serves as a useful reminder.
I hope you don’t mind if I publish it on the website with the link to the original.
If you publish it with the link to the original and leave all logos and identifying information, that is fine.
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This is a good,common sense article.Very helpful to one who is just finding the resouces about this part.It will certainly help educate me.
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I niver thought that this sheet has an impact with my work. It serve as a guide towards my decisions.
There are tons of excellent books, websites, blogs, and podcasts available to help you understand how to visualize your data the best way possible.
I’m a big believer that anyone can learn how to communicate their data in better ways.
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I love how you always find a unique angle on these topics.