Thread by @annapurani93

Thread 🧵-

Here's how you can produce a clean chart that your audience can easily read and understand, without much ado.

Follow along 🤗

#RStats #DataScience #dataviz #DataAnalytics #DataFam

1. Remove gridlines and axis lines from your chart, unless it's difficult to track the points you've plotted without them.

#RStats #tidyverse #datafam #dataviz #DataScience

2. Add trend lines/reference lines to guide the audience on what the numbers were expected to look like vis-a-vis what they actually look like.

Ensure the color scheme of the trend lines doesn't overshadow the plot. Keep them subtle, probably in grey

#RStats #dataviz #tidyverse

3. Don't annotate all the points in your chart - it'll get cluttered. Only label key points, points of significance (eg: the highest and the lowest revenues recorded for the year)

#RStats #DataAnalytics #DataScience #dataviz

4. Don't forget to add a legend if you're using multiple colors or shapes.
Never leave the audience guessing.

#RStats #DataScience #DataAnalytics #tidyverse

5. Align the labels, text, legends - make sure they're all uniform and not floating in separate directions.

There's nothing more chic than a chart that has all the elements in perfect alignment.

#RStats #datavisualization #DataScience #DataAnalytics