This project centers around a comprehensive analysis and processing of a dataset related to hotel bookings, cancellations, types of hotels, guest demographics, stay durations, stay during the week and the weekend, previous bookings etc. The dataset was obtained from Kaggle, and the primary objectives include data processing, meticulous cleaning, identification of key trends, and the creation of visualizations to derive meaningful insights.
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starting_file/: Contains the original dataset from Kaggle.hotel_bookings.csv: The raw data file downloaded from Kaggle.
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cleaning_starting_file/: Contains R script for data cleaning and analysis.hotel_bookings_df.R: R script for cleaning and processing the dataset.
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cleaned_starting_file/: Contains the cleaned dataset exported from R.hotel_bookings_cleaned.csv: The cleaned and processed dataset, ready for analysis.
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graphs/: Contains R script for data visualization.graphs.R: R script for analyzing the cleaned dataset and generating visualizations.
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markdown_file_for_presentation/: Contains R markdown for data visualization.figure-gfm: folder which contains image files referenced in the Markdown document.markdown_graphs.Rmd: R Markdown file which contains a mix of Markdown text and embedded R code, possibly generating graphs or other visual elements when rendered.markdown_graphs.md: Knitted version of R Markdown file for presentational purposes whose output is set as a GitHub document.