This project performs an exploratory data analysis (EDA) on the SwiftKey dataset, which contains text samples from Twitter, blogs, and news sources. The analysis involves loading and cleaning raw text data, generating descriptive statistics, and visualizing word usage patterns across datasets. Through tokenization, stopword removal, and frequency analysis, the report highlights linguistic trends that can inform the development of a next-word prediction model and Shiny app. The study demonstrates practical text mining techniques in R, including data sampling, regex cleaning, and visualization using ggplot2 and tidytext.

Principais conceitos de importação e manipulação de dados no R