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import pandas as pd
import plotly.express as px

url='https://gist.githubusercontent.com/shinokada/f2ebf82eaa3cfa02106ae93c7fe9efbe/raw/3494b1e2ba9b1c0d8991e71483123f63b4bce559/educational+attainment.csv'

df = pd.read_csv(url)
display(df)
cols = [2,10,14]
rows = [33,36,39,42,45,48,51,57]

df =df.iloc[rows,cols].reset_index(drop=True)

df.columns=['race','Male','Female']
for col in ['Male', 'Female']:
    df[col]=pd.to_numeric(df[col].str.replace('%',''))
    
display(df)
print(df.dtypes)
race object Male float64 Female float64 dtype: object 
df=pd.melt(df,id_vars=['race'],var_name='gender', value_name='value')
df
fig = px.bar(df, x="race", color="gender",
             y='value',
             title="A Grouped Bar Chart With Plotly Express in Python",
             barmode='group',
             height=600
            )

fig.show()
fig = px.bar(df, x="race", color="gender",
             y='value',
             title="A Grouped Bar Chart With Plotly Express in Python",
             barmode='group',
             height=700,
             facet_row="gender"
            )

fig.show()