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instruction
string | input
string | output
string |
|---|---|---|
Generate a python script to perform this action. | You will need to create a bar graph with the gender on the x- axis and churn on the y- axis of owndata dataset. | ```python
import pandas as pd
import seaborn as sns
df = owndata
sns.countplot(x=df['gender'])
``` |
Generate a python script to perform this action. | This owndata is Telecom customer dataset and has columns such as customerID, gender, SeniorCitizen, Partner, Dependents, tenure, PhoneService, Churn. You will need to create a bar graph with the SeniorCitizen on the x- axis and count on the y- axis. | ```python
import pandas as pd
import seaborn as sns
df = owndata
sns.countplot(x=df['SeniorCitizen'])
``` |
Generate a python script to perform this action. | This owndata is Telecom customer dataset and has columns such as customerID, gender, SeniorCitizen, Partner, Dependents, tenure, PhoneService, Churn. You will need to create a bar graph with the Partner on the x- axis and count on the y- axis. | ```python
import pandas as pd
import seaborn as sns
df = owndata
sns.countplot(x=df['Partner'])
``` |
Generate a python script to visualize this action. | This owndata is Telecom customer dataset and has columns such as customerID, gender, SeniorCitizen, Partner, Dependents, tenure, PhoneService, Churn. You will need to create a scatter plot with the tenure on the x- axis and churn on the y- axis. | ```python
import plotly.express as px
df = owndata
fig = px.scatter( df , x ='tenure', y ='Churn', labels ={ 'tenure':'tenure','Churn':'Churn'})
fig.show ()
``` |
Generate a python script to perform this action. | This owndata is Telecom customer dataset and has columns such as customerID, gender, SeniorCitizen, Partner, Dependents, tenure, PhoneService, Churn. You will need to create a scatter plot with the MonthlyCharges on the x- axis and churn on the y- axis. | ```python
import plotly.express as px
df = owndata
fig = px.scatter( df , x ='MonthlyCharges', y ='Churn', labels ={ 'MonthlyCharges':'MonthlyCharges','Churn':'Churn'})
fig.show ()
``` |
Generate a python script to perform this action. | You will need to create a scatter plot with the TotalCharges on the x- axis and churn on the y- axis of owndata dataset. | ```python
import plotly.express as px
df = owndata
fig = px.scatter( df , x ='TotalCharges', y ='Churn', labels ={ 'TotalCharges':'TotalCharges','Churn':'Churn'})
fig.show ()
``` |
Generate a python script to perform this action. | This owndata is Telecom customer dataset and has columns such as customerID, gender, SeniorCitizen, Partner, Dependents, tenure, PhoneService, Churn. You will need to create a histrogram with the tenure on the x- axis and count on the y- axis. | ```python
import pandas as pd
import seaborn as sns
df = owndata
df['tenure'].hist(figsize=(12,12),bins=20)
plt.show()
``` |
Generate a python script to visualize this action. | This owndata is Telecom customer dataset and has columns such as customerID, gender, SeniorCitizen, Partner, Dependents, tenure, PhoneService, Churn. You will need to create a histrogram with the MonthlyCharges on the x- axis and count on the y- axis. | ```python
import pandas as pd
import seaborn as sns
df = owndata
df['MonthlyCharges'].hist(figsize=(12,12),bins=20)
plt.show()
``` |
Generate a python script to perform this action. | You will need to create a histrogram with the TotalCharges on the x-axis and count on the y-axis of owndata dataset. | ```python
import pandas as pd
import seaborn as sns
df = owndata
df['MonthlyCharges'].hist(figsize=(12,12),bins=20)
plt.show()
``` |
Generate a python script to perform this action. | This dataset is Telco for churn prediciton and has columns such as customerID, gender, SeniorCitizen, Partner, Dependents, tenure, PhoneService, Churn. You will need to create a bar graph with the gender on the x- axis and Churn on the y- axis. | ```python
import pandas as pd
import seaborn as sns
df = owndata
sns.set_theme(style="whitegrid")
sns.countplot(x=df['gender'], data=df, hue='Churn')
plt.show()
``` |
Generate a python script to perform this action. | This dataset is Telco for churn prediciton and has columns such as customerID, gender, SeniorCitizen, Partner, Dependents, tenure, PhoneService, Churn. You will need to create a bar graph with Dependents on the x- axis and Churn on the y- axis. | ```python
import pandas as pd
import seaborn as sns
df = owndata
sns.set_theme(style="whitegrid")
sns.countplot(x=df['Dependents'], data=df, hue='Churn')
plt.show()
``` |
Generate a python script to perform this action. | You will need to create a bar graph with PhoneService on the x- axis and Churn on the y-axis of owndata dataset. | ```python
import pandas as pd
import seaborn as sns
df = owndata
sns.set_theme(style="whitegrid")
sns.countplot(x=df['PhoneService'], data=df, hue='Churn')
plt.show()
``` |
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