Chapter 11 Datasets

• tweets Dataset from the rtweet Package
• “Credit Card Fraud” dataset from R package creditcard
• The “Groceries” from the R package comes arules
• “pima” from MASS package
• airquality (find the package)
• “NHANES” from “NHANES” package

Bengaluru Restaurants dataset - https://www.kaggle.com/datasets/mrmars1010/restaurants-dataset-bengaluru

Car Sales data set - https://github.com/balsaedi/R_programming/blob/main/data/car_sales.csv

Furniture Sales Data set - https://www.kaggle.com/datasets/rajagrawal7089/furniture-sales-data

Boston Housing Data set - https://www.kaggle.com/datasets/fedesoriano/the-boston-houseprice-data

Amazon Stock Price Prediction - https://www.kaggle.com/datasets/aenes95/amazon-stock-price-prediction

Electricity Price & Demand 2018-2023 - https://www.kaggle.com/datasets/joebeachcapital/nsw-australia-electricity-demand-2018-2023/data

Groundhog Day Forecasts and Temperatures - https://www.kaggle.com/datasets/groundhogclub/groundhog-day

Amazon Fine Food Reviews data - https://www.kaggle.com/datasets/snap/amazon-fine-food-reviews

Detailed NFL Play-by-Play Data 2009-2018 - https://www.kaggle.com/datasets/maxhorowitz/nflplaybyplay2009to2016

Brazil’s House of Deputies Reimbursements - https://www.kaggle.com/datasets/epattaro/brazils-house-of-deputies-reimbursements