Introduction

There are many reasons why tourists come to Tanzania.
The team will use a range of visualisation techniques to analyse and reveal insights on tourism spending.
As showcased in the RShiny app, users will be able to:

KEY FIGURES

The team analysed from the overall statistical analysis
to individual contry profile and spending behaviour

RShiny App

Understand the spending nature of tourists.
Predict spending and invest in accurate marketing dollar

Prototype

How the Team came to this idea and
the process of app development

Minutes of Meetings

By Ariana / Feb 4, 2023

The discussions of the meetings were noted and penned for for clarity.

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Data Preparation

By Michael / Feb 14, 2023

Data wrangling was done to check for missing data. Countries were mapped to country codes etc.

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Exploratory Data Analysis

By Ariana / March 14, 2023

Correlation graphs were explored to find interesting findings.

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Confirmatory Data Analysis

By Michael / March 11, 2023

Analysis was performed for descriptive, numerical variables, regions and countries.

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Decision Tree

By Magdalene / March 1, 2023

Both regression tree analysis and random forest analysis were performed to explore the useability.

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Clustering Analysis

By Magdalene / March 11, 2023

Latent class analysis was done for categorical variables and continuous variables binned.

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