Data vis do’s & don’ts All blog topics >
Our popular “What to consider” articles and some more general posts on what to keep in mind when creating your next data visualization.
Fix my chart » Maps as guides
Fix my chart » Simple data
How to find & create good color palettes
What to consider when choosing colors for race, ethnicity, and world regions
Fix my chart » Sequential storytelling
Fix my chart » Using text elements
Fix my chart » Compact tables
Fix my chart » Map annotations
Fix my chart » The y-axis
What to consider when creating small multiple line charts
Remind readers of the colors in your data visualization
How to design a useful (and fun!) color key for your data visualization
Emphasize what you want readers to see with color
What to consider when using text in data visualizations
Which fonts to use for your charts and tables
How to choose an interpolation for your color scale
10 ways to use fewer colors in your data visualizations
How to visualize polls and results of the German election with Datawrapper
Three simple ideas for better election poll graphics
Which color scale to use when visualizing data
When to use quantitative and when to use qualitative color scales
When to use sequential and when to use diverging color scales
When to use classed and when to use unclassed color scales
What to consider when visualizing data for colorblind readers
What to consider when creating tables
Election reporting: Which color for which party?
Your friendly guide to colors in data visualisation
An alternative to pink & blue: Colors for gender data
What to consider when choosing colors for data visualization
What to consider when creating choropleth maps
What to consider when creating stacked column charts
What to consider when creating area charts
What to consider when creating pie charts
Respect your readers’ time
What Questions to Ask When Creating Charts