Скачать или смотреть Python for Data Analysis - Loading Real Data & Data Exploration

Learn to load real CSV data, explore datasets, and create meaningful visualizations. We'll work with the Titanic dataset to discover survival patterns and handle real-world data challenges.

Timestamps:
0:00 - Introduction & Getting Dataset
1:31 - Setting up Notebook & Load Data
6:16 - Missing Data Analysis
13:27 - Handling Missing Values
18:51 - Create New Columns in Data
22:31 - Meaningful Visualizations
38:44 - Outro

Titanic Dataset: https://www.kaggle.com/datasets/yasse...

Key Methods Covered:
pd.read_csv() - Load CSV files
df.info() - Dataset overview
df.isnull().sum() - Find missing data
df.fillna() - Clean missing values
df.groupby() - Group analysis
plt.subplot() - Multiple plots

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