The difference between the two is that in exploratory data analysis you investigate the data first and use it to suggest hypotheses, rather than jumping right to hypotheses and fitting lines and ...

the EDA process can identify and fill gaps in the data, focus the analysis and provide valuable, timely insights. Speeding up the EDA process using flexible automation and consistent reporting ...

And it’s in this exploratory data analysis that things often go wrong ... data with a laundry list of statistical questions to determine the data’s fit-for-use in AI and ML projects. Are there enough ...