Introduction to Exploratory Data Analysis (EDA) in Data Science with Python
What is Exploratory Data Analysis?
Exploratory Data Analysis (EDA) is the process of analyzing datasets to summarize their main characteristics using statistical methods and visualization techniques.
Why EDA is Important
- Understand dataset structure
- Identify patterns and trends
- Detect anomalies
- Prepare data for machine learning
Python Example
python
import pandas as pd
df = pd.read_csv("data.csv")
print(df.head())
Next Tutorial: Descriptive Statistics
