Title: “Exploratory Data Analysis of a Dataset using R”

Author: “Phil Corcoran”

Format: HTML

Editor: Visual

## Introduction:

The purpose of this report is to analyze a customer satisfaction survey in order to enhance overall customer satisfaction within various areas of the hotel. The dataset contains 25 variables, providing information on customer experience, spending habits, and membership levels. The report aims to identify areas for improvement in the hotel experience, offering insights to enhance customer experience and create greater customer loyalty and lifetime value.

The variables within the dataset are categorized into 4 main areas:

- Satisfaction Variables

- Customer Experience Variables

- Customer Spending Variables

- 4-Tier Spending Variables

Satisfaction Variables:

- Cleanliness

heatmap (asmatrix(d1,), Rpwv = as.dendrogam(h1), Colv = ‘Rowv’)

- Dining Experience

- Staff

- Tier Status

Customer Experience Variables:

- Number of Nights at the Hotel

- Travel to the Hotel

- Purpose for Hotel Stay

- Returning Customers

Customer Spending Variables:

- Average Spend

- Satisfaction with Hotel Room/Suite

- Hotel Pub/Restaurant Dining Experience

- Use of WiFi

4-Tier Spending Variables:

- Platinum

- Gold

- Silver

- No Status

The report also includes the analysis of 4-tier membership and consumer insights.

## Running Code:

The document includes both content and the output of embedded code. Library functions are used to read the dataset and perform analysis. Additionally, the document provides instructions on how to include options for executable code.

## Embedding Code:

Executable code is embedded in the document and can be run by clicking the “Render” button.