I have a pandas dataframe consisting of dimensions and features of a different fabric materials. I have several rows per product material type causing the dataset to seem very huge. From basic logic and domain knowledge I can judge that the columns that show dimensions of the fabric is not necessary to analyse the data I am looking for.
I tried to run a correlation and print a heatmap but it doesnt show any output for most of the columns. Only white color is printed out for most of the column correlation. This makes it difficult for me to judge.
Please advice if there is a better way to statistically prove the relationship between the columns and justify the reason to drop irrelevant columns