Complete Data Science Project

Embark on a comprehensive data science project exploring tweet data from the popular daily word game Wordle in this 39-minute video tutorial. Learn techniques for data wrangling and visualization using Python, pandas, and matplotlib as Kaggle Grandmaster Rob Mulla guides you through a full Exploratory Data Analysis (EDA). Follow along as he imports the dataset, prepares the data, creates various plots including tweets by date and Wordle attempts heatmap, parses tweet text, and analyzes Wordle solution data. Gain insights into average attempts, result distributions, and first letter frequencies. Access the accompanying Kaggle notebook to fork and run your own code, and discover ideas for further exploration of this engaging dataset.

Intro:
Data and Imports
Importing Wordle Dataset
Data Prep
Plotting Tweets by Date
Wordle Attempts Heatmap
Average Wordle Attempts
Parse Tweet Text
Plot Results by Attempt
Adding Wordle Solution Data
Answer Data Parsing
Plotting First Letter Data
Outro