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I am having large data set (82 variables) Is there any way to arrange data such a way that I have to get all numerical variables firstly then categorical variables so that I can run hypothesis testing or exploratory data analysis(eda) by having loop.
If not is there any way to do eda in simpler manner because I can't check the correlation or chi.square test for each variable
Let your data frame be df. First get the numeric columns:
num_col = df.select_dtypes('number').columns
Then get the remaining columns.
non_num_col = set(df.columns) - set(df.select_dtypes('number').columns)
Merge as required.
df = pd.concat([df[num_col], df[list(non_num_col)]], axis=1)
The columns are now in the desired sequence.
