https://github.com/greatwoman23/hotel_reservation_analysis

In this project, we delve into the intricate world of hotel reservations, utilizing a multifaceted analytical approach to uncover valuable insights. Through a combination of SQL queries and Tableau visualizations, we meticulously dissect a rich dataset comprising booking details, customer demographics, and reservation statuses.
https://github.com/greatwoman23/hotel_reservation_analysis

data-analysis data-science data-visualization hotel hotel-reservation publications sql sql-query sqlite3 tableau

Last synced: 2 days ago
JSON representation

In this project, we delve into the intricate world of hotel reservations, utilizing a multifaceted analytical approach to uncover valuable insights. Through a combination of SQL queries and Tableau visualizations, we meticulously dissect a rich dataset comprising booking details, customer demographics, and reservation statuses.

• Host: GitHub
• URL: https://github.com/greatwoman23/hotel_reservation_analysis
• Owner: Greatwoman23
• Created: 2024-03-19T15:36:55.000Z (8 months ago)
• Default Branch: main
• Last Pushed: 2024-03-19T16:55:29.000Z (8 months ago)
• Last Synced: 2024-03-20T17:03:59.274Z (8 months ago)
• Topics: data-analysis, data-science, data-visualization, hotel, hotel-reservation, publications, sql, sql-query, sqlite3, tableau
• Language: Jupyter Notebook
• Homepage: https://medium.com/@chemistry8526/analyzing-hotel-reservation-trends-a-sql-and-tableau-exploration-4d8aa299a68c
• Size: 1.94 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
# Hotel_Reservation_Analysis

In this project, we delve into the intricate world of hotel reservations, utilizing a multifaceted analytical approach to uncover valuable insights. Through a combination of SQL queries and Tableau visualizations, we meticulously dissect a rich dataset comprising booking details, customer demographics, and reservation statuses.

Welcome to the Hotel Reservation Analysis Project! This project aims to analyze hotel reservation data using SQL queries and Tableau visualizations to uncover insights and trends in the hospitality industry.

## Overview

This project explores a dataset containing hotel reservation details, including booking patterns, customer demographics, and market segmentation. Through a combination of SQL queries and Tableau visualizations, we delve deep into the data to understand booking trends, customer preferences, and market dynamics.

## Tableau Dashboard

The Tableau dashboard visualizes key insights derived from the hotel reservation data. Click (https://public.tableau.com/views/Workingonit_17056137512240/Dashboard1?%3Alanguage=en-US&%3Asid=&%3Adisplay_count=n&%3Aorigin=viz_share_link) & (https://public.tableau.com/views/Hotel_Reservation_Analysis_17108600115130/Dashboard2?%3Alanguage=en-US&%3Asid=&%3Adisplay_count=n&%3Aorigin=viz_share_link) to view the Tableau dashboard.

## Presentation

For a detailed analysis and insights, please refer to the presentation on Medium: [Hotel Reservation Analysis Presentation](https://medium.com/@chemistry8526/analyzing-hotel-reservation-trends-a-sql-and-tableau-exploration-4d8aa299a68c)

## Contents

- `dataset/`: Directory containing the dataset used for analysis.

- `sql_queries.ipynb`: Jupyter Notebook containing SQL queries used for data analysis.

- `tableau_dashboard_link`: Tableau packaged workbook containing the visualization dashboard.

- `README.md`: This file, providing an overview of the project.

## Installation

   ipython-sql

   sqlite3

 ## Contact

 

If you have any questions or feedback, feel free to contact me:

GitHub: https://github.com/Greatwoman23

Email: [email protected]