g4_cat_eda.py

#Partner
df_plot = df_data.groupby('Partner').Churn.mean().reset_index()
plot_data = [
    go.Bar(
        x=df_plot['Partner'],
        y=df_plot['Churn'],
        width = [0.5, 0.5],
        marker=dict(
        color=['green', 'blue'])
    )
]

plot_layout = go.Layout(
        xaxis={"type": "category"},
        yaxis={"title": "Churn Rate"},
        title='Partner',
        plot_bgcolor  = 'rgb(243,243,243)',
        paper_bgcolor  = 'rgb(243,243,243)',
    )
fig = go.Figure(data=plot_data, layout=plot_layout)
pyoff.iplot(fig)

#Phone Service
df_plot = df_data.groupby('PhoneService').Churn.mean().reset_index()
plot_data = [
    go.Bar(
        x=df_plot['PhoneService'],
        y=df_plot['Churn'],
        width = [0.5, 0.5],
        marker=dict(
        color=['green', 'blue'])
    )
]

plot_layout = go.Layout(
        xaxis={"type": "category"},
        yaxis={"title": "Churn Rate"},
        title='Phone Service',
        plot_bgcolor  = 'rgb(243,243,243)',
        paper_bgcolor  = 'rgb(243,243,243)',
        
    )
fig = go.Figure(data=plot_data, layout=plot_layout)
pyoff.iplot(fig)


#Multiple Lines
df_plot = df_data.groupby('MultipleLines').Churn.mean().reset_index()
plot_data = [
    go.Bar(
        x=df_plot['MultipleLines'],
        y=df_plot['Churn'],
        width = [0.5, 0.5, 0.5],
        marker=dict(
        color=['green', 'blue', 'orange'])
    )
]

plot_layout = go.Layout(
        xaxis={"type": "category"},
        title='Multiple Lines',
        yaxis={"title": "Churn Rate"},
        plot_bgcolor  = 'rgb(243,243,243)',
        paper_bgcolor  = 'rgb(243,243,243)',
    )
fig = go.Figure(data=plot_data, layout=plot_layout)
pyoff.iplot(fig)

#Internet Service
df_plot = df_data.groupby('InternetService').Churn.mean().reset_index()
plot_data = [
    go.Bar(
        x=df_plot['InternetService'],
        y=df_plot['Churn'],
        width = [0.5, 0.5, 0.5],
        marker=dict(
        color=['green', 'blue', 'orange'])
    )
]

plot_layout = go.Layout(
        xaxis={"type": "category"},
        title='Internet Service',
        yaxis={"title": "Churn Rate"},
        plot_bgcolor  = 'rgb(243,243,243)',
        paper_bgcolor  = 'rgb(243,243,243)',
    )
fig = go.Figure(data=plot_data, layout=plot_layout)
pyoff.iplot(fig)


#Online Security
df_plot = df_data.groupby('OnlineSecurity').Churn.mean().reset_index()
plot_data = [
    go.Bar(
        x=df_plot['OnlineSecurity'],
        y=df_plot['Churn'],
        width = [0.5, 0.5, 0.5],
        marker=dict(
        color=['green', 'blue', 'orange'])
    )
]

plot_layout = go.Layout(
        xaxis={"type": "category"},
        yaxis={"title": "Churn Rate"},
        title='Online Security',
        plot_bgcolor  = "rgb(243,243,243)",
        paper_bgcolor  = "rgb(243,243,243)",
    )
fig = go.Figure(data=plot_data, layout=plot_layout)
pyoff.iplot(fig)


#Online Backup
df_plot = df_data.groupby('OnlineBackup').Churn.mean().reset_index()
plot_data = [
    go.Bar(
        x=df_plot['OnlineBackup'],
        y=df_plot['Churn'],
        width = [0.5, 0.5, 0.5],
        marker=dict(
        color=['green', 'blue', 'orange'])
    )
]

plot_layout = go.Layout(
        xaxis={"type": "category"},
        title='Online Backup',
        plot_bgcolor  = "rgb(243,243,243)",
        paper_bgcolor  = "rgb(243,243,243)",
    )
fig = go.Figure(data=plot_data, layout=plot_layout)
pyoff.iplot(fig)

#Device Protection
df_plot = df_data.groupby('DeviceProtection').Churn.mean().reset_index()
plot_data = [
    go.Bar(
        x=df_plot['DeviceProtection'],
        y=df_plot['Churn'],
        width = [0.5, 0.5, 0.5],
        marker=dict(
        color=['green', 'blue', 'orange'])
    )
]

plot_layout = go.Layout(
        xaxis={"type": "category"},
        title='Device Protection',
        plot_bgcolor  = "rgb(243,243,243)",
        paper_bgcolor  = "rgb(243,243,243)",
    )
fig = go.Figure(data=plot_data, layout=plot_layout)
pyoff.iplot(fig)


#Tech Support
df_plot = df_data.groupby('TechSupport').Churn.mean().reset_index()
plot_data = [
    go.Bar(
        x=df_plot['TechSupport'],
        y=df_plot['Churn'],
        width = [0.5, 0.5, 0.5],
        marker=dict(
        color=['green', 'blue', 'orange'])
    )
]

plot_layout = go.Layout(
        xaxis={"type": "category"},
        title='Tech Support',
        plot_bgcolor  = "rgb(243,243,243)",
        paper_bgcolor  = "rgb(243,243,243)",
    )
fig = go.Figure(data=plot_data, layout=plot_layout)
pyoff.iplot(fig)

#Streaming TV
df_plot = df_data.groupby('StreamingTV').Churn.mean().reset_index()
plot_data = [
    go.Bar(
        x=df_plot['StreamingTV'],
        y=df_plot['Churn'],
        width = [0.5, 0.5, 0.5],
        marker=dict(
        color=['green', 'blue', 'orange'])
    )
]

plot_layout = go.Layout(
        xaxis={"type": "category"},
        title='Streaming TV',
        plot_bgcolor  = "rgb(243,243,243)",
        paper_bgcolor  = "rgb(243,243,243)",
    )
fig = go.Figure(data=plot_data, layout=plot_layout)
pyoff.iplot(fig)

#Streaming Movies
df_plot = df_data.groupby('StreamingMovies').Churn.mean().reset_index()
plot_data = [
    go.Bar(
        x=df_plot['StreamingMovies'],
        y=df_plot['Churn'],
        width = [0.5, 0.5, 0.5],
        marker=dict(
        color=['green', 'blue', 'orange'])
    )
]

plot_layout = go.Layout(
        xaxis={"type": "category"},
        title='Streaming Movies',
        plot_bgcolor  = "rgb(243,243,243)",
        paper_bgcolor  = "rgb(243,243,243)",
    )
fig = go.Figure(data=plot_data, layout=plot_layout)
pyoff.iplot(fig)

#Contract
df_plot = df_data.groupby('Contract').Churn.mean().reset_index()
plot_data = [
    go.Bar(
        x=df_plot['Contract'],
        y=df_plot['Churn'],
        width = [0.5, 0.5, 0.5],
        marker=dict(
        color=['green', 'blue', 'orange'])
    )
]

plot_layout = go.Layout(
        xaxis={"type": "category"},
        title='Contract',
        plot_bgcolor  = "rgb(243,243,243)",
        paper_bgcolor  = "rgb(243,243,243)",
    )
fig = go.Figure(data=plot_data, layout=plot_layout)
pyoff.iplot(fig)

#Paperless Billing
df_plot = df_data.groupby('PaperlessBilling').Churn.mean().reset_index()
plot_data = [
    go.Bar(
        x=df_plot['PaperlessBilling'],
        y=df_plot['Churn'],
        width = [0.5, 0.5, 0.5],
        marker=dict(
        color=['green', 'blue', 'orange'])
    )
]

plot_layout = go.Layout(
        xaxis={"type": "category"},
        title='Paperless Billing',
        plot_bgcolor  = "rgb(243,243,243)",
        paper_bgcolor  = "rgb(243,243,243)",
    )
fig = go.Figure(data=plot_data, layout=plot_layout)
pyoff.iplot(fig)

#Payment Method
df_plot = df_data.groupby('PaymentMethod').Churn.mean().reset_index()
plot_data = [
    go.Bar(
        x=df_plot['PaymentMethod'],
        y=df_plot['Churn'],
        width = [0.5, 0.5, 0.5,0.5],
        marker=dict(
        color=['green', 'blue', 'orange','red'])
    )
]

plot_layout = go.Layout(
        xaxis={"type": "category"},
        title='Payment Method',
        plot_bgcolor  = "rgb(243,243,243)",
        paper_bgcolor  = "rgb(243,243,243)",
    )
fig = go.Figure(data=plot_data, layout=plot_layout)
pyoff.iplot(fig)