Python for Data Analysis: Frequency Tables

This video covers the basics of creating frequency tables (crosstabs) in Python with the pandas library.
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This is lesson 19 of a 30-part introduction to the Python programming language for data analysis and predictive modeling. Link to the code notebook below:
Python for Data Analysis: Frequency Tables
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This guide does not assume any prior exposure to Python, programming or data science. It is intended for beginners with an interest in data science and those who might know other programming languages and would like to learn Python.
I will create the videos for this guide such that you should be able to learn a lot just watching on UA-cam, but to get the most out of the guide, it is recommended that you create a Kaggle account so that you can copy and edit each lesson so that you can follow along and run code yourself.
Introduction to Python Playlist:
• Python for Data Analysis
Link to the Python for Data Analysis written guide index page:
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[@riasingh11]

This playlist is the best one on Python for Data Science, amongst all the content I've come across on the internet.

[@ricardocelso2625]

brasilian viewer here,
thank you so much for your videos!!!

[@abdallahsiyabi4784]

Yeah the video is awesome. I don't understand why it didn't get many views.

[@Abdulsharmauff]

Amazing can you please continue the serious of data analysis in python plssss

[@wagnersantos7748]

Hi, how can I tabulate an specific variable? to see the frequency, cumulative, and percentage. In Stata we use: tab name of the variable. But in Python I still don't know

[@user-vg9bt2rd3z]

Thanks for your amazing videos! I'm suing the titanic dataset, same dataset that you have used here for this tutorial. whenever I try to make a two_way tables, I get this error; IndexError: only integers, slices (`:`), ellipsis (`...`), numpy.newaxis (`None`) and integer or boolean arrays are valid indices.
Would you please let me know how I should deal with this issue?
Thanks

[@user-vg9bt2rd3z]

Just fixed it!

[@gabrielcatabriga9585]

Hey man, thank you for it.

[@abdallahsiyabi4784]

Liked and subscribed :)

[@Carmadon100]

you are amazing