How Can Data Analysis in Research Improve the Accuracy of Your Findings? or What Are the Best Practic

Great point about data cleaning! One thing I always do in data analysis in research is running sanity checks *before* diving deep. Like, does the average age in your survey make sense? If it’s 150, something’s off.

I use OpenRefine for cleaning messy data—it’s free and a lifesaver for spotting outliers. Also, documenting in a Jupyter notebook keeps everything tidy.

Anyone else use tools like this?