Exploratory Data Analysis with Pandas Python

Chapters don't appear to be working for my videos for some reason. Here are the timestamps for the video: 00:00 Introduction 01:00 Imports and reading data 03:35 Data Understanding 06:40 Data Preparation 20:57 Feature Understanding 27:35 Feature Relationships 35:30 Asking a Question about the Data 40:00 Final Thoughts

As a begginer in data this really opend my eyes as to how things works. Your explanations are very clear and I can feel how passionate you are. Great video

There are a ton of EDA videos on YouTube. This is one of the best I have ever come across. You just nailed it, Rob.

- import data Data understanding - filter columns by need - convert dtype of certain columns - rename columns - check isna in columns and dropna on row or column accordingly - locate duplicated rows in single or multiple columns - drop duplicated rows from dataset and reset index Data prep -univariate analysis of features - kde, histogram, box plot - use value counts to determine duplicates and unique values in feature - he creates bar plot for top 10 years introduced to highest # of coasters - he creates histogram to bin speeds of roller coaster and view their frequency distribution Feature understanding - scatterplot, pairplot, correlation, groupby - he creates scatterplot for speed and height with year based hue of points - he create pairplot to compare correlation between features, alongside hue from material type - creates a correlation heatmap for selected features Ask question - he uses groupby and query to create bar plot with sorted descending data on mean speed of roller coasters by location.

Great channel! Very helpful for beginners and for those who' re digging deeper and moving forward into DS industry as myself! Thanks Rob!

This is a great refresher guide! Very nice coding style and I appreciate you using a simple Kaggle dataset to follow along. Great stuff - thanks!

I have tried plenty of tutorials by now. This is the most precise and to-the-point tutorial so far. Well done.

Hi Rob, this was super useful to me as a tired Excel veteran and python beginner. You explain and demonstrate everything so clearly, thank you

This is GOLD! Thank you

This video makes me feel glad to be alive. Great explanation, amazingly fast and on point. Thank you!

This is one of the best content related to Data Analysis and Python/Pandas, I am really glad I found it! Thanks!

Great stuff - thank you, Rob!

I can’t get enough of your videos, especially the very hands-on practical approach to learning. Your explanations are clear and easy to follow along with. Please make more of these types of videos. You are definitely makes a change and contributing to the YouTube knowledge pool. Thank you so much.

Great video: informative and fun; easy to follow along. Helped me feel motivated to tackle more Python Pandas. Thanks so much!

This is such an amazing guide! I’m new to data analysis and had limited python exposure and have taught myself most of these things so far by googling or just reading the pandas documentation. Watching someone familiar with the process do it all together was really helpful and gave me a lot of insights as to how I can improve my skills and workflow. Thank you so so much!

Thank you for sharing this, Rob! This is wonderful content. Keep up the good work. Cheers!

This video is.... PERFECT! Thanks ^^

this is absolutely amazing! Follow your video step by step actually make me more confident of my coding!

Excellent work and introduction. Very well done!

Pair-plot looked absolutely beautiful!