Free and open source options for communicating data
Data visualization & infographics
Examples of both
8 graphic design basics
Resources
I’m a scholarly communications researcher & PhD candidate
I research how we can improve search tools for scientific publications.
I have an art and design education background.
Both Excel and Tableau are great for exploration and presentation of data.
Its very recognizable.
Its both the tool and the viewer.
OtherLevels: https://www.youtube.com/@OtherLevels
But, its not uncommon to see it in greyscale:
So, how can we make this a little more enticing?
Visualization is the practice of making results from data analysis more easily interpreted by visual or other means.
- data visualization
- information visualization
- scientific visualization
- statistical graphics
- exploratory data analysis
- data art
See Nathan Yao’s Flowing Data catalog of chart types. https://flowingdata.com/chart-types/
Infographics are intended to communicate a cohesive narrative that may include tables, graphs, diagrams, maps, etc.
They can be quite artistic to gain your attention.
source: www.hotbutterstudio.com
source: www.hotbutterstudio.com
source: https://www.valentinadefilippo.co.uk/
source: https://wunicholas.wixsite.com/
Limited attention: you have seconds to get and keep someone’s attention.
Limited memory: working and long-term memory
Limited perceptual channels
Hierarchy
Scale
Color
Line
Shape
Alignment
Space
Contrast
Read this first.
Read this second.
Read this third.
source:https://wunicholas.wixsite.com
Scale affects how big or small your visualization can still be legible.
Or…
You may need to move things around a bit.
Here are some resources:
For scientific publications: http://vrl.cs.brown.edu/color
Super easy and beautiful color palettes: https://color.adobe.com/create/color-wheel
So many more: https://sites.google.com/view/visres/special-topic-color/noteworthy-and-popular-color-resources?authuser=0
Line weight helps to separate and define.
How does this look big? Or small?
Is it near or far?
So, you might adjust depending on your needs:
What do these shapes mean?
How might they be interpreted in the context of the narrative?
See Ferdio’s 100 visualizations with just 6 data points. https://100.datavizproject.com/#
source: https://100.datavizproject.com/#
Alignment helps your reader orient themselves and predict where information will be.
The grid has a dedicated following.
The grid on Nicolas Wu’s fish poster.
Just a grid.
This is the resting space around text and visuals. It gives the eye time to rest and move between salient points.
Also called negative space, or ground.
This affects:
hierarchy
color
line
shape
type
Or….
Hierarchy
Scale
Color
Line
Shape
Alignment
Space
Contrast
Survey from the Journal of Visualization: https://sites.google.com/view/visres/home?authuser=0
DataWrapper: https://www.datawrapper.de/charts
canva: https://www.canva.com/login
flourish: https://app.flourish.studio/templates
Draw.io: https://app.diagrams.net/
inkscape: https://inkscape.org/
A catalog of data visualization types: https://datavizcatalogue.com/
Information is beautiful: https://informationisbeautiful.net/
Data Visualization Society: https://www.datavisualizationsociety.org/
& their youtube channel: https://www.youtube.com/@DataVisualizationSociety
DataWrapper: https://blog.datawrapper.de/category/data-vis-dispatch/
Visualization Universe: http://visualizationuniverse.com/
Visualizing Data: https://www.visualisingdata.com/blog/
Fonts: https://fonts.google.com/
Icons: https://fontawesome.com/icons
Lorum Ipsum: https://loremipsum.io/
Adobe Color: https://color.adobe.com/create/color-wheel
I Want Hue: https://medialab.github.io/iwanthue/
BioRender: https://www.biorender.com/features
Guild of Natural Science Illustrators: https://www.gnsi.org/
Scientific American article: https://blogs.scientificamerican.com/sa-visual/visualizing-science-illustration-and-beyond/
Science Figures: open-licensed science related artwork: https://sciencefigures.org/
D3: https://d3-graph-gallery.com/
Observable: https://observablehq.com/
Mermaid:https://mermaidchart.com/
Feel free to reach out with any questions, comments, or other sources of inspiration!
Poppy Riddle
pnriddle@dal.ca
You can find this presentation at https://github.com/poppy-nicolette/viz_preso