Issue handling sensitive correlations

[nagrawal2-sc]

Is there an existing issue for this?

• I have searched the existing issues

Describe the bug

When trying to use the function sensitive.find_sensitive_correlations where one of the columns being tested is a string, it would still still try to calculate pearson correlation and returns an error.

Expected Behavior

To calculate spearman or kendall correlation.

Steps To Reproduce

import pandas as pd
import fairlens as fl
col_names = ["gender", "nationality", "random", "corr1", "corr2"]
data = [
    ["woman", "spanish", 715, "w", 20],
    ["man", "spanish", 1008, "m", 20],
    ["man", "french", 932, "m", 10],
    ["woman", "french", 1300, "w", 10],
       ] 
df = pd.DataFrame(data, columns=col_names)    
fl.sensitive.find_sensitive_correlations(df)

Environment

- OS:
- python: 3.9

Anything else? Screenshots?

No response