Master EDA on the Titanic Dataset with Python in Julius π’
Learn how to perform comprehensive Exploratory Data Analysis (EDA) on the Titanic dataset using Python in Julius. Perfect for data enthusiasts looking to enhance their skills!

Julius AI
7.8K views β’ May 24, 2024

About this video
Welcome to our tutorial on performing Exploratory Data Analysis (EDA) on the Titanic dataset using Python in Julius! This video is perfect for those who want to enhance their data analysis skills and for beginners who are new to data analysis!
In this tutorial, you'll learn how to load and clean the Titanic dataset, explore the various patterns and trends, and visualize the dataset using Python and Julius!
Make sure to like, comment, and subscribe for more tutorials on data analysis using Julius!
Use this link to follow along with the community guide: https://community.julius.ai/t/guide-exploratory-data-analysis-using-the-titanic-dataset/3168.
Skip to:
00:00 Introduction
00:30 Loading in dataset
00:51 Summary Statistics
1:06 Dealing with missing values
01:47 Age distribution of passengers
02:46 Survival Count by Sex
03:10 Fare by Survival
03:42 Fare distribution by embarkment
04:34 Adding in new columns
05:05 Average family size
05:16 Conclusions
In this tutorial, you'll learn how to load and clean the Titanic dataset, explore the various patterns and trends, and visualize the dataset using Python and Julius!
Make sure to like, comment, and subscribe for more tutorials on data analysis using Julius!
Use this link to follow along with the community guide: https://community.julius.ai/t/guide-exploratory-data-analysis-using-the-titanic-dataset/3168.
Skip to:
00:00 Introduction
00:30 Loading in dataset
00:51 Summary Statistics
1:06 Dealing with missing values
01:47 Age distribution of passengers
02:46 Survival Count by Sex
03:10 Fare by Survival
03:42 Fare distribution by embarkment
04:34 Adding in new columns
05:05 Average family size
05:16 Conclusions
Video Information
Views
7.8K
Likes
21
Duration
5:51
Published
May 24, 2024
User Reviews
3.9
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