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Dashing Data Viz - Issue 227
Curated news, articles and jobs related to Data Visualization.
February 28 2023
Hi Friend -
Snow day today in the Northeast of the USA made me think of this SAS data viz made by Robert E. Alisson, Jr in 2014 in an article titled “How much snow does it take to close your school? (here's a SAS map!)”:
img src: Robert E. Alisson, Jr.
Schools were closed by where I live so lots of sledding and snowball fights.
Alright - on to this week’s links I thought were worth sharing…
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Data Visualization Articles & Videos
1 dataset 100 visualizations
Can we come up with 100 visualizations from one simple dataset?…As an information design agency working with data visualization every day, we challenged ourselves to accomplish this using insightful and visually appealing visualizations…We wanted to show the diversity and complexity of data visualization and how we can tell different stories using limited visual properties and assets…
Free Course: Data Vis Fundamentals & Best Practices, by Robert Kosara
With Observable Plot, you can build data visualizations in half the time it takes in other tools. And, we’re here to show you how. In this course, you’ll learn:
Basic chart types, how they differ, and when to use them.
The best charts for the data you’re working with and the questions you want to answer.
When and how to use aggregations, such as binning and smoothing.
The difference between using charts for exploration and analysis vs. presentations.
How to add interactive features to your charts.
Masters series: William Playfair, the father of statistical graphics
Celebrating the legacy of the creator of the line chart, bar chart and pie chart 200 years after his death…
In this Data Viz Today podcast episode, we explore how to practice openness through a fun activity that combines serendipity and structure. London City Hall's Data Visualization and Information Design Lead, Mike Brondbjerg, shares how he creates beautiful pieces of art dictated by the roll of a dice, and how these serendipitous experiments led him to create an incredible 3D flower project with census data!…
A framework for node-based applications. Leveraged by RxJS and Zod…
Beautifully Annotated: Enhancing your ggplots with Text
R-Ladies Cambridge | Inaugural lunchtime dataviz meetup: In this talk, I cover five tips and a bonus track for making good use of annotations in ggplots…
Exploring Data Distributions with an Interactive Ridge Plot
Ridge plots are particularly helpful for identifying differences in distributions between multiple groups or variables. In this blog post, we'll explore how to create an interactive ridge plot using React and D3, two popular libraries for building web-based data visualizations. The inspiration for this work comes from an article by UK Office of National Statistics. The ridge plot in that article was really captivating and interestingly, they had shared the dataset in the article. Therefore, I decided to write a blog post about ridge plots and use the same dataset…
How to add a tooltip in D3
Here are four different ways you can add a tooltip to a D3 chart, with a comparison of their pros and cons…
Working on a 24-hour range slider that updates based on location…Built using D3, Luxon, Mapbox, and @mourner ’s SunCalc…
Stamen’s 2022 year in review: Remote dataviz & maps in the cloud
2022 was our first full year at Stamen being really remote…2022 was the first year that together as a team, we fully embraced the idea that we were likely never going to have or need a physical space again for our operations. We leaned into the idea that we’re a 99% remote company in this new era, that remote is not in-person-lite but its own unique way of working, and that we wanted and needed to get really really good at it...I think a full explication of how our work and relationships have had to change in this new virtual world deserves it’s own post, but here are a couple of things that’ve changed in how we show up for work at Stamen…
Drilldowns with Highcharter
In this tutorial, we’ll explore how to add a drilldown feature to a highcharter plot. I love working with highcharter - it is an easy to use R wrapper for the JS library, highcharts, translating a lot of its functionality into familiar R syntax…
Course: Geographic Software Design
This course will focus on the creation and design of open-source Python packages for geospatial analysis and interactive mapping. Students will be exposed to various popular Python IDEs including Visual Studio Code, Jupyter Notebook, and Google Colab, and will utilize these tools to package and share their code with collaborators and the broader Python community. They will also learn to build upon popular geospatial packages and contribute to the open-source community. Upon course completion, students will have the ability to create their own Python package and accompanying documentation website…
Attitudinal effects of data visualizations and illustrations in data stories
We research the persuasive, emotional and memorable dimensions of data visualizations and illustrations in journalistic storytelling for long-form articles…We conducted a user study and compared the effects which data visualizations and illustrations have on changing attitude towards a presented topic…While visual representations are usually studied along one dimension, in this experimental study, we explore the effects on readers' attitudes along three: persuasion, emotion, and information retention…By comparing different versions of the same article, we observe how attitudes differ based on the visual stimuli present, and how they are perceived when combined. Results indicate that the narrative using only data visualization elicits a stronger emotional impact than illustration-only visual support, as well as a significant change in the initial attitude about the topic…
Have an awesome week!
All my best,
P.S., If you enjoyed reading this, please let me know (and share the love) by clicking the ❤️ button at the end of this post. Thanks! :)
P.P.S., Stick around and chat! I’m going to open the chat to everyone (one of the reasons I moved to substack) so please share your thoughts on the articles above or to ask some questions. Be kind and I look forward to hearing your thoughts :) If you’re not sure what to write - maybe share what data viz you saw this week that you liked :)
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