Exploratory Data Analysis (EDA) with Python & Pandas | Complete EDA Tutorial | Data Science Project
Learn to perform Exploratory Data Analysis on real-world data using Python Pandas. In this video, we demonstrate how to perform EDA on a dataset (Ozone Weath...
🔥 Related Trending Topics
LIVE TRENDSThis video may be related to current global trending topics. Click any trend to explore more videos about what's hot right now!
THIS VIDEO IS TRENDING!
This video is currently trending in Thailand under the topic 'สภาพอากาศ'.
About this video
Learn to perform Exploratory Data Analysis on real-world data using Python Pandas. In this video, we demonstrate how to perform EDA on a dataset (Ozone Weather) with Pandas in Python. Under EDA, you will learn basic data understanding, data preparation, feature understanding (univariate analysis), feature relationships (bivariate and multivariate analysis), and data retrieval from DataFrame using different Pandas useful functions. We will use the following different functions
Jupyter Notebook and DataSet on Github: https://github.com/binary-study/data-science/tree/main/ExploratoryDataAnalysis
You can directly run the Notebook on Kaggle without needing to download the notebook and dataset.
You will learn the following in this video:
What is EDA?
Step 1: Basic Data Understanding
Step 2: Data Preparation
Step 3: Univariate Analysis (Feature Understanding )
Step 4: Bivariate and Multivariate Analysis (Feature Relationships)
Step 5: Ask Questions on Data?
Timestamps:
00:00 Intro
02:25 What is EDA?
02:50 Step 0: Data Loading
04:00 Step 1: Basic Data Understanding
08:14 Step 2: Data Preparation
25:00 Step 3: Univariate Analysis (Feature Understanding )
25:55 - Analyzing Categorical Features
28:00 - Analyzing Numerical Features
38:21 Step 4: Bivariate and Multivariate Analysis (Feature Relationships)
38:49 - Numerical vs Numerical
45:45 - Categorical vs Numerical
47:35 - Date vs Numerical (Time series analysis)
48:50 - Categorical vs Categorical (Crosstabs)
50:00 - Grouped Statistics with .groupby()
51:55 Step 5: Ask Questions on Data?
58:20 Outro
Python Videos
1. https://youtu.be/Vbe2GaWGKgk
2. https://youtu.be/yy9GEwkpMOM
3. https://youtu.be/qxTrX6yc75s
4. https://youtu.be/x8JjwRfIbN0
Computer vision & image processing related videos:
1. https://youtu.be/pBOfQTfDMVg
2. https://youtu.be/uGPqnPwr1JY
Playlists
https://www.youtube.com/playlist?list=PLC5TQt3H5okgbSEhYJWmrH-eESzJSSHd9
https://www.youtube.com/playlist?list=PLC5TQt3H5okgoLM0M2spvyz7Is4YQ6iH3
https://www.youtube.com/playlist?list=PLC5TQt3H5okhKO_W-D2yaICQvl37Py70D
#eda #python #exploratorydataanalysis #pandas #pythonpandas #datascienceprojects #datascience #machinelearning #dataanalytics #binarystudy
Video Information
Views
3.2K
Total views since publication
Likes
135
User likes and reactions
Duration
58:55
Video length
Published
Aug 8, 2025
Release date
Quality
hd
Video definition
About the Channel
Tags and Topics
This video is tagged with the following topics. Click any tag to explore more related content and discover similar videos:
#data science projects #data science #Exploratory Data analysis #eda #python #python programming #python pandas #exploratory Data analysis with pandas python #eda with python pandas #eda in pandas #eda with pandas #eda with pandas in python #data cleaning #data understanding #univariate analysis #bivariate analysis #multivariate analysis
Tags help categorize content and make it easier to find related videos. Browse our collection to discover more content in these categories.