#Sns distplot rename x ticks how to#
#Sns distplot rename x ticks tv#

PaperlessBilling: Whether the customer has paperless billing or not (Yes, No) 18. Contract: The contract term of the customer (Month-to-month, One year, Two years) 17. StreamingMovies: Whether the customer has streaming movies or not (Yes, No, No internet service) 16.

StreamingTV: Whether the customer has streaming TV or not (Yes, No, No internet service) 15. TechSupport: Whether the customer has tech support or not (Yes, No, No internet service) 14. DeviceProtection: Whether the customer has device protection or not (Yes, No, No internet service) 13. OnlineBackup: Whether the customer has an online backup or not (Yes, No, No internet service) 12. OnlineSecurity: Whether the customer has online security or not (Yes, No, No internet service) 11. InternetService: CustomerвЂ™s internet service provider (DSL, Fiber optic, No) 10.

MultipleLines: Whether the customer has multiple lines or not (Yes, No, No phone service) 9. PhoneService: Whether the customer has a phone service or not (Yes, No) 8. Tenure: Number of months the customer has stayed with the company 7. Dependents: Whether the customer has dependents or not (Yes, No) 6. Partner: Whether the customer has a partner or not (Yes, No) 5. SeniorCitizen: Whether the customer is a senior citizen or not (1, 0) 4. gender: Whether the customer is a male or a female 3. CustomerID: Customer ID unique for each customer 2.

TotalCharges: The total amount charged to the customerД®ighteen categorical columns: 1. Monthlењњharges: The amount charged to the customer monthly 2. In this project, Telco Customer Churn Dataset which is available at Kaggle is used.ДЄttributes Information Prediction column: Churn: Whether the customer churned or not (Yes or No) It is important for telecom companies to analyze all relevant customer data and develop a robust and accurate Churn Prediction model to retain customers and to form strategies for reducing customer attrition rates. Now we have a plot of bigger size as we needed.One of the most famous and useful case studies of churn prediction is in the telecom industry. We need to specify the argument figsize with x and y-dimension of the plot we want. We can change the default size of the image using plt.figure() function before making the plot. Often we ould like to increase the size of the Seaborn plot. Once you have made all necessary changes to the plot and final step is to save the plot as an image of specifcied size.

Set Title with Seaborn How To Change the Size of a Seaborn Plot? Here is how the plot looks like with increased label sizes and title for the plot. We can use plt.title() function to add title to the plot. In this example, we have changed both x and y-axis label sizes to 20 from the default size.Д¬hange axis label size with Seaborn How To Set a Title to a Seaborn Plot?ДЄnother useful addition to a plot is to add title describing the plot. Sns.scatterplot(x='height', y='weight', data=df) The ot functions can also be used to change the size of the labels by using size as another argument. Change Axis Labels With Seaborn How To Change X & Y Axis Label Size in a Seaborn Plot?

#Sns distplot rename x ticks tv#

#Sns distplot rename x ticks how to#