Introduction

This Dashboard focus on Australian Road deaths happened from the year 2014-2023
The dataset used for this presentation is from https://www.bitre.gov.au/statistics/safety/fatal_road_crash_database
Using this dashboard, the important factors that influencing the road accidents in australia can be analysed.
Interactive data visualization have been designed using important variables of the Road deaths dataset

Column

Conclusion:

Road accidents have been occured more in Major cities and least occured in Remote areas
National or State Highway, Arterial Road, sub-arterial road and Local road are the main accident occuring road types.
It can be seen that average range of speed limit of vehicle endup with crash is 75km/hr to 95km/hr
Crashes are occuring majorly in Nights than the days and mostly in weekends i.e, Friday, Saturday and Sundays.

References:

Bureau of Infrastructure and Transport Research Economics. (2023, May 16). Australian Road Deaths Database - Ardd. Bureau of Infrastructure and Transport Research Economics. https://www.bitre.gov.au/statistics/safety/fatal_road_crash_database
Sample layouts. • flexdashboard. (n.d.). https://pkgs.rstudio.com/flexdashboard/articles/layouts.html#tabset-row
Baglin, J. (2023, February 16). Data Visualisation: From theory to practice. Chapter 8 Adding Interactivity. https://dark-star-161610.appspot.com/secured/_book/adding-interactivity.html
Line. Line plots in R. (n.d.). https://plotly.com/r/line-charts/#style-line-plots
Carson Sievert [aut, cre] (). (2023, January 24). Flex_dashboard: R markdown format for flexible dashboards in flexdashboard: R markdown format for flexible dashboards. flex_dashboard: R Markdown Format for Flexible Dashboards in flexdashboard: R Markdown Format for Flexible Dashboards. https://rdrr.io/cran/flexdashboard/man/flex_dashboard.html