Complete Data Science Project!

In this video we look into tweet data from the daily word game Wordle, and pull tweet data to run a full Exploratory Data Analysis (EDA). We explore various techniques for data wrangling and visualization using python, pandas and matplotlib. Rob Mulla, Kaggle Grandmaster and data science discusses some ideas that you could use to explore the same dataset. Check out the kaggle notebook to fork and run your own code! Notebook used in this video: https://www.kaggle.com/robikscube/wordle-tweet-dataset-eda-4-youtube Timeline: Intro: 00:00 Data and Imports 00:55 Importing Wordle Dataset 02:55 Data Prep 04:45 Plotting Tweets by Date 08:55 Wordle Attempts Heatmap 10:46 Average Wordle Attempts 13:30 Parse Tweet Text 16:25 Plot Results by Attempt 26:50 Adding Wordle Solution Data 31:01 Answer Data Parsing 32:59 Plotting First Letter Data 35:47 Outro 38:04 Follow me on twitch for live coding streams: https://www.twitch.tv/medallionstallion_ Intro to Pandas video: https://www.youtube.com/watch?v=_Eb0utIRdkw Exploritory Data Analysis Video: https://www.youtube.com/watch?v=xi0vhXFPegw Working with Audio data in Python: https://www.youtube.com/watch?v=ZqpSb5p1xQo * Youtube: https://youtube.com/@robmulla?sub_confirmation=1 * Discord: https://discord.gg/HZszek7DQc * Twitch: https://www.twitch.tv/medallionstallion_ * Twitter: https://twitter.com/Rob_Mulla * Kaggle: https://www.kaggle.com/robikscube #python #wordle #datascience #pandas