Thread by @annapurani93

Thread 🧵

Each #dataviz you create needs to tell a story. It doesn't help if we just group a bunch of graphs together on different metrics.

So here are 5 pointers that might help create a story out of your #Datavisualization. Follow along :)

#RStats #Tidyverse #DataScience

1. Understand what question you're trying to answer - the one key question that ties together all the charts in your #dataviz, and align all the metrics accordingly.

Eg: How #Covid brought down the economy in 2020 - Put together charts on GDP, inflation, employment

#RStats

2. Set the context for the audience right at the beginning of your visualization. This will let them know what they can expect from your visual story, and give them an idea of what conclusions you're trying to draw.

#Rstats #datascience #tidyverse

3. Play with colors to grab your audience's attention. Highlight parameters that add more value and parameters that don't matter as much.
For eg: Red is to indicate alarm or a sign that something isn't right, and green is to denote all's well.

#RStats #tidyverse #DataScience

4. Bring the narrative into your #dataviz. Let the charts tell the story, but support the chart with headings and legends and captions that guide your audience better. Ensure you don't leave any gaps or keep your audience guessing.

#Tidyverse #DataScience #RStats

5. Always annotate key points that shouldn't be missed and points that set the tone of your narrative - annotations complete your visualization. They ensure your charts drive home your message accurately.

#DataScience #RStats #Tidyverse