Please explain on your words this code. Assume you would explain EDA. Be very detailed.

To address missing values in numerical columns, we impute the missing data using the $95\%$ confidence interval of each feature. This approach ensures

that the imputed values are statistically valid and accurately reflect the distribution of the existing data.for col in numeric$\_$columns:mean $=$ listings$[$col$].$mean$()$# Calculate the $95\%$ confidence intervalci$\_$upper $=$ mean $+1\mathrm{.}96*$ semmissing $=$ listings$[$col$].$isnull$()$if num$\_$missing $>0$: try: except: listings.loc$[$missing$,$ col$]=$ random$\_$values