Analysing the Whatsapp group chat with my 3 daughters

My girls live pretty far away from me, so Whatsapp is an important part of how we communicate. So I decided to analyse our chats over the last 2 years and see what I find!

Jupyter notebook

The full Jupyter notebook with comments can be found here. The raw text file for the chat can be found here

Technologies/Libraries used

Python
Pandas
Numpy
NLTK
Seaborn
Matplotlib
Wordcloud
Emoji

The Results

I was able to extract data for 2 years from my Whatsapp chat, put it into a Pandas dataframe and answer the following questions:

Who sent the most messages?
What is the busiest day for chatting
Who sends the most images?
Who records the most voice notes?
What are the most popular words used in our family chat?
What is the most popular chat time?
What Emoji's are used most in the chat?
What does our message frequency look like over time?
What was the overall tone of our conversation?
Who types the most in the family?

Lessons Learned

This project allowed me to practice EDA visualisation while having fun using Python and making something to laugh with my girls about.

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