The analysis uses the Hotel Booking Demand dataset, which records bookings for a city hotel and a resort hotel with arrival dates from July 2015 to August 2017. Each booking has details such as lead time, deposit type, market segment, length of stay, and whether it was canceled. The plan is to clean the data, explore how cancellation rates vary across these factors, and build models that predict cancellation.

IoSlides presentation for Sorting Algorithms and how R plotting and Plotly can help to visualize data results.

How car weight relates to fuel economy in the mtcars dataset.

An analysis of car weight and fuel economy using correlation, simple linear regression, ggplot2, and an interactive Plotly visualization of the mtcars dataset.

Rgeresi Lgistik Spasial menggunakan data kaggle