What is a ZST file?

If you’ve ever stumbled upon a file with the .zst extension and wondered what kind of sorcery it is—don’t worry, you’re not alone.

A ZST file is a compressed file format created using Zstandard (often shortened to zstd), a modern compression algorithm developed by Facebook. Think of it as the younger, faster cousin of more familiar formats like .zip or .gz. What makes .zst files special is their impressive balance between speed and compression ratio—they compress data quickly and decompress even faster, which is great for performance-critical applications.

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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