Visual Analytics

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What is Visual Analytics?
Topic Overview

Visual Analytics

Welcome to ISSS608 Visual Analytics and Applications, Spring 2024 class!

This page documents my learning journey of geospatial analytics taught by Prof Kam Tin Seong.

Source: Autodesk

This is the Datasaurus Dozen. While different in appearance, each dataset has the same summary statistics (mean, standard deviation, and Pearson’s correlation) to two decimal places.

What is Visual Analytics?

Visual Analytics is the craft of analytical reasoning supported by:

Data Science and Analytics
Data Visualization
Human Computing Interaction (HCI)
Interface Design
Visual Storytelling

The learning objective is to understand the basic concepts, theories and methodologies of visual analytics, analyse data using appropriate visual thinking and visual analytics techniques, and implement cutting-edge visual analytics system for decision making.

Topic Overview

Bivariate Graphical Methods for Uncertainty

Create funnel plots using funnelPlotR package

Climate Change Confirmatory Data Analysis

Evaluation of R Packages: To evaluate and determine the necessary R packages required for Shiny…

Climate Change in Singapore

Singapore is not insulated from the impact of climate change. From 1980 to 2020, the annual mean temperature has increased from 26.9°C to 28.0°C. The mean sea level in the Straits of Singapore…

Extensions of ggplot2

Beside tidyverse, the following R packages will be used:

Fundamentals of ggplot2

ggplot2 is a R package dedicated to data visualization by builds charts through layers using geom_ functions. It can greatly improve the quality and aesthetics of graphics.

Geospatial Analysis

A choropleth map is a thematic map composed of coloured polygons and is used to represent statistical data using the color mapping symbology technique.

Import of Statistical Data Formats

R is capable of reading data from most formats, such as csv, xlsx, or txt and include files created in other statistical packages, such as SAS, Stata, SPSS.

Information Dashboard Design

Introducing information dashboard

Interactive and Animated Data Visualization

Create interactive data visualization using ggiraph, plotlyr, crosstalk

Model Diagnostics

Visualise model diagnostic using performance package

Multivariate Data Analysis

To understand complex and multivariate data, each visualization offers a unique way to represent and understand patterns, relationships, and distributions within data that…

Network Analysis

Network visualization, also known as graph visualization, is a method of visually representing relationships and connections between entities in a network or graph data structure. The importance of network visualization lies in its ability to uncover hidden patterns, structures, and insights…

OECD PISA Global Education

The Organisation for Economic Co-operation and Development (OECD) Programme for International Student Assessment (PISA) is a global education survey conducted to examines what students know in mathematics, reading and science, how well students can solve complex problems, think critically and communicate effectively.…

Peer Critique and Visualization Makeover

The purpose of the makeover is to improve on the original visualization.

Time Series Analysis

Time series analysis is a statistical technique that deals with time series data, or data that is observed sequentially over time. It involves analyzing the data to extract meaningful statistics and characteristics, and to model the underlying processes…

Univariate Graphical Methods for Uncertainty

tidyverse is a family of R packages designed to support data science, analysis and communication task including creating static statistical graphs

Visual Statistical Analysis

New statistical graphic methods for visualising distribution, namely ridgeline plot and raincloud plot by using ggplot2 and its extensions.

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