EDA for analysis of nominal variable with high cardinality
You can calculate mean target for each categorical variable and compare its values.
In pandas this can be done easily: df.groupby('categorical_feature').target.mean()

Then you can make a histogram to compare the approach. I also, seaborn has a catplot, where it do the same as above in a bar plot format, showing mean value for target variable based on each categorical one.