• Analyzed CompleteJourney grocery transaction data in R (tidyverse) to clean the dataset, build key metrics (AOV, basket size, purchase frequency), and compare cohorts and seasonality patterns, then delivered an R Markdown report with actionable recommendations to improve revenue through pricing and promotions.

confusion matrix

This report presents an exploratory analysis of the training text data used for building a word prediction application. The datasets were successfully downloaded and loaded into R. Basic summaries such as line counts, word counts, and frequency tables were created. Simple plots were used to visualize key features of the data. The findings will guide the development of the prediction algorithm and Shiny app.

Homework for Chapter 1 – R programming R homework – mean & RMSE exercises