#spotlight: #How_To Say ‘I Love You’ with a Graphic
▻https://nightingaledvs.com/spotlight-how-to-say-i-love-you-with-a-graphic
For the past two years, the #Data_Visualization narratives we’ve become familiar with infection curves, maps of health zones, and models of how the virus..
#Charts #Data_Humanism #Data_Literacy
▻https://nightingaledvs.com/wp-content/uploads/2022/04/i-love-you-00.mov
Five Ways to Teach Math as an Art Form
▻https://nightingaledvs.com/five-ways-to-teach-math-as-an-art-form
Some days it feels like my first words were, “I hate math.” There’s a stereotype that creative ‘right-brainers’ can’t do math, and as a writer..
Data4Kids: A Collaborative Project to Teach Kids about Data
▻https://nightingaledvs.com/data4kids-a-collaborative-project-to-teach-kids-about-data
When the COVID-19 pandemic first shut down in-person learning, we knew education wouldn’t be the same. How could kids—especially younger kids in elementary and middle..
#Community #Data_Literacy #Data_Visualization #How_To #Kids_Dataviz
A Map of #Data_Visualization (Please Comment !)
▻https://nightingaledvs.com/a-map-of-data-visualization-please-comment
The data visualization field is fascinating and I feel incredibly fortunate to be working in it, but, frankly, it’s also kind of a mess: It’s..
#Data_Literacy #industry_landscape #information_architecture #Maps
REVIEW: Detroit in 50 #Maps by Alex B. Hill
▻https://nightingaledvs.com/review-detroit-in-50-maps-by-alex-b-hill
In professional and #Community circles, Detroit can sometimes feel like a small town. I started hearing about Alex B. Hill and his site, Detroitography, early..
#book #Charts #Data_Humanism #Data_Literacy #Data_Visualization #How_To #Reviews
#cognitive_load as a Guide: 12 Spectrums to Improve Your Data Visualizations
▻https://nightingaledvs.com/cognitive-load-as-a-guide-12-spectrums-to-improve-your-data-visualiz
The internet is brimming with tidy lists of #Data_Visualization best practices, and their definitive confidence can be quite comforting. But at the end of..
Information Empowerment is a Universal Theory for Data #Design, part 1
▻https://nightingaledvs.com/information-empowerment-is-a-universal-theory-for-data-design-part-1
Part one of a six-part series on the application of design thinking for data practitioners, #Business_Intelligence analysts, researchers, and anyone working with data.Jason comes..
#Collaboration #data_fluency #Data_Humanism #Data_Literacy #Data_Visualization
Endless River: An Overview of Dataviz for #Categorical Data
▻https://nightingaledvs.com/endless-river-an-overview-of-dataviz-for-categorical-data
Let us explore some flow and network chart types that are ready-made for visual storytelling using categorical data As a data scientist, I am surrounded..
Conclusion
In summary, four types of charts for displaying flows between categorical data were discussed. Each chart type has its own unique quality for visual storytelling.
An Arc Diagram is useful at mapping 1:1 entity-relationships. Applications of such a chart include plotting the relationships of notes used in Beethoven’s Für Elise, to the character interactions in Les Misérables.
A chord diagram is used to display the strength of inter-relationships between categories. The thicker the chord, the stronger the relationship. One application of a chord diagram considers the relation between the count of words spoken between characters in the TV show Friends.
Sankey charts were shown to plot the multi-flow relationships between categories and can also be used to show the process flows between multi-component systems (e.g a steam engine)
Finally, a sunburst chart is used to plot event sequences and their proportional relationships as part of a wider set of relationships. Whether understanding the page-sequence flows on a website or the sequence of coffee flavours, a sunburst chart can cover it.
For all their differences, each chart types provides a unique way to tell a visual story with categorical data and their associated counts. Let the charts flow.