ISSS608 Visual Analytics and Applications Homepage

Hey there! Welcome to my Visual Analytics and Applications page which documents and showcase my coursework and projects for this module.

From here, you can see how I utilise various data analytics methods to interact with data and explore relationships where I try to “detect the expected and discover the unexpected”.

A Feature of My Latest Works:

Hands-on Exercise 1

In this chapter, we will learn the basic principles and essential components of ggplot2. Also, we will gain hands-on experience…

In-class Exercise 10

Coffee Chain Dashboard

In-class Exercise 10a: Dashboard Design Using Quarto

Hands-on Exercise 10: Information Dashboard Design (R methods)

By the end of this hands-on exercise, we will be able to:

In-class Exercise 9

Hovering to a point in the scatter plot we can see the corresponding data for other variables. It is helpful in the sense that…

Hands-on Exercise 9a: Creating Ternary Plot with R

Ternary plots are a way of displaying the distribution and variability of three-part compositional data. (For example, the…

Hands-on Exercise 9b: Visual Correlation Analysis

Correlation coefficient is a popular statistic that is used to measure the type and strength of the relationship between two…

Hands-on Exercise 9c: Heatmap for Visualising and Analysing Multivariate Data

Heatmaps visualise data through variations in colouring. When applied to a tabular format, heatmaps are useful for…

Hands-on Exercise 9d: Visual Multivariate Analysis with Parallel Coordinates Plot

Parallel coordinates plot is a data visualisation specially designed for visualising and analysing multivariate, numerical data.…

Hands-on Exercise 9e: Treemap Visualisation with R

In this hands-on exercise, we will gain hands-on experiences on designing treemap using appropriate R packages. The hands-on…

Take-home Exercise 3: Network Data Visualisation and Analysis

Oceanus has a dynamic business landscape with frequent startups, mergers, acquisitions and investments. FishEye International, a…

In-class Exercise 8

REALIS Data Dashboard

Hands-on Exercise 8a: Choropleth Mapping with R

Choropleth mapping involves the symbolisation of enumeration units, such as countries, provinces, states, counties or census…

Hands-on Exercise 8b: Visualising Geospatial Point Data

Proportional symbol maps (also known as graduate symbol maps) are a class of maps that use the visual variable of size to…

Hands-on Exercise 8c: Analytical Mapping

For this hands-on exercise, it will allow us to gain hands-on experience on using appropriate R methods to plot analytical maps.

In-class Exercise 7

Calendar Heatmap

Hands-on Exercise 7: Visualising and Analysing Time-oriented Data

By the end of this hands-on exercise we will be able create the following data visualisations by using R packages:

In-class Exercise 6a

corporaexplorer can be used to explore not only chronological text collections with documen date as main organising principle…

In-class Exercise 6b

In the code chunk below, fromJSON() of jsonlite package is used to import MC3.json into the R environment

Hands-on Exercise 6: Network Data Visualisation and Analysis

In this hands-on exercise, we will learn how to model, analyse and visualise network data using R.

In-class Exercise 5a

OR the below code chunk can be utilised as well

In-class Exercise 5b

In the code chunk below, fromJSON() of jsonlite package is used to import MC3.json into R environment.

Hands-on Exercise 5: Visualising and Analysing Text Data with R (tidytext methods)

In this hands-on exercise, we will learn how to visualise and analyse text data using R.

Take-home Exercise 1 (Part 2): DataVis Makeover

In Take-home Exercise 1 (Part 1), we were tasked to produce two to three data visualisations using ggplot2 and its extensions to…

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