presententationtest

## New names:New names:New names:New names:New names:New names:New names:New names:

R Markdown

This is an R Markdown presentation. Markdown is a simple formatting syntax for authoring HTML, PDF, and MS Word documents. For more details on using R Markdown see http://rmarkdown.rstudio.com.

When you click the Knit button a document will be generated that includes both content as well as the output of any embedded R code chunks within the document.

Introduction, Objective and Audience

Slide with R Output

blue_table

Top 5 Areas Experiencing Baby Boom (2020–2023)

Area name 2020 2023 Change
Rockbank - Mount Cottrell 273 680 407
Mickleham - Yuroke 498 783 285
Box Hill - Nelson 144 357 213
Tarneit (West) - Mount Cottrell 199 412 213
Leppington - Catherine Field 219 404 185

Note: Australian Bureau of Statistics (2023)

Objective: Shows the top 5 areas with the biggest increase in births from 2020 to 2023. This visualisation highlights where population is booming and where there may be growing demand for services such as hospitals, childcare, and schools.

peach_table

Top 5 Areas Experiencing Baby Drought (2020–2023)

Area name 2020 2023 Change
Tarneit - Central 529 400 -129
North Parramatta 398 282 -116
Truganina - South West 454 338 -116
Springfield Lakes 487 381 -106
Newport 315 217 -98

Note: Australian Bureau of Statistics (2023)

Objective: Shows the top 5 areas with the biggest decrease in births from 2020 to 2023. This visualisation highlights where population is receding and where there may be less demand for services such as hospitals, childcare, and schools.

Chart D

Top 5 Areas Experiencing Baby Drought (2020–2023)

Area name 2020 2023 Change
Tarneit - Central 529 400 -129
North Parramatta 398 282 -116
Truganina - South West 454 338 -116
Springfield Lakes 487 381 -106
Newport 315 217 -98

Note: Australian Bureau of Statistics (2023)

Objective: Shows the top 5 areas with the biggest decrease in births from 2020 to 2023. This visualisation highlights where population is receding and where there may be less demand for services such as hospitals, childcare, and schools.

Slide with Graph1 and Graph2

## Warning: `arrange_()` was deprecated in dplyr 0.7.0.
## Please use `arrange()` instead.
## See vignette('programming') for more help