STA 492 2.0/ ASP 460 2.0 Data Visualisation

Lecturer-in-charge:

Dr Thiyanga S. Talagala

Email:

ttatalagala@sjp.ac.lk

Course outline:

Available on Google Classroom

Policies and regulations:

To access important information regarding the unit, please go to the Google Classroom.

Weekly Schedule:

Week 1: May 27, 2025

Week 2: June 3, 2025

Week 3: June 17, 2025

Week 10: August 1, 2025

Create interactive dashboards

Visualising DIstributions

Data Visualisation Catalogue

Week 11: August 5, 2025

Data Quality Analysis

Week 12: August 12, 2025

Dimension Reduction Methods

Datasets

  1. Pedestrian counts in Melbourne city
library(sugrrants)
data(hourly_peds)
  1. Tickets issued for parking violations in the city of Philadelphia, Pennsylvania in 2017
library(tidyverse)

philly <- read_csv("https://raw.githubusercontent.com/rfordatascience/tidytuesday/master/data/2019/2019-12-03/tickets.csv")
  1. Emission data
emissions <- readr::read_csv('https://raw.githubusercontent.com/rfordatascience/tidytuesday/master/data/2024/2024-05-21/emissions.csv')
emissions

4 ToothGrowth

ToothGrowth

Take a suitable visualization to illustrate the relationship between supp, dose, and the mean tooth growth

  1. Sydney Beaches: Water Quality Reliability
suppressPackageStartupMessages({
if (!require("pacman")) install.packages("pacman")
pacman::p_load(
  tidytuesdayR,
  tidyverse,    
  ggtext,        
  showtext,      
  janitor,       
  scales,        
  glue         
  )
})
tt <- tidytuesdayR::tt_load(2025, week = 20)

water_quality_raw <- tt$water_quality |> clean_names()
weather_raw <- tt$weather |> clean_names()

tidytuesdayR::readme(tt)
rm(tt)