This content originally appeared on DEV Community and was authored by SAINAPEI LENAPUNYA
Introduction
Everyone makes mistakes with data especially beginners.Knowing the common pitfalls helps you avoid them and become more confident in your work.
Common Mistakes
(i)Confusing correlation with causation.
(ii)Ignoring missing or bad data.
(iii)Using the wrong chart type.
(iv)Overcomplicating analysis.
How to Avoid Mistakes
(i)Always question your results.
(ii)Double-check your data quality.
(iii)Keep your visuals simple and relevant.
Try This Beginner Activity
Step 1:Review a recent analysis or chart you made.
Step 2:Check if you’ve fallen into any common mistakes.
Step 3:Fix at least one issue you find.
Coming Next
In Part 12:Your First Data Project,we’ll bring everything together for a simple hands-on project.
This content originally appeared on DEV Community and was authored by SAINAPEI LENAPUNYA