The sample data and analysis code used in this article are from Kaggle. However, because the actual running results are different from original author, there are slight differences in the analysis part.

The specific analysis process includes:

1. Data Preparation
2. Data Cleaning
3. Data Visualization
4. Data Processing
5. Cluster Analysis
6. Customer Profiling and Segmentation

1. Data Preparation

Use the KMeans clustering algorithm to divide the data into K clusters:

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import numpy as np
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
from pandas import get_dummies
from sklearn.cluster import KMeans
from sklearn.preprocessing import StandardScaler, LabelEncoder
from yellowbrick.cluster import KElbowVisualizer

import warnings
warnings.filterwarnings('ignore')

ModuleNotFoundError: No module named ‘yellowbrick’

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