This report presents an exploratory analysis of the SwiftKey text prediction dataset. The analysis uses samples from the blogs, news, and Twitter datasets.
The datasets were analyzed to determine their sizes and word counts.
A bar chart was created to compare the number of words in each dataset.
A word cloud was also generated to visualize the most frequently occurring words.
The exploratory data analysis provides an overview of the dataset and prepares the data for building a predictive text model.