Introduction

This code through explores the Number of Accidents by Time and Day

Content Overview

Specifically, we’ll explain and demonstrate the caracteristics of traffic accident in Tempe.

This topic is valuable especially for those who live in Tempe because it is important to know the time and days with higher traffic accident.

Specifically, you’ll learn how to use data to visualy communicate some real facts

Here, we’ll show the Number of Accidents by Time and Day through a heatmap

# ggplot(sub_day, aes(hour, day, fill= n)) + 
#        geom_tile() +
#        scale_fill_gradient(low="white", high="blue")

More specifically, you first need to replace les differents variables with the imputs id chpices

# sub_day<-d3[d3$day==input$days & d3$hour==input$hour, ]

Furthermore the count function should count the different variable of interest

# d3 <- 
#  dat %>% 
#  count( hour, day )

Most notably, it’s valuable to remove all NA with

# d3 <- na.omit( d3 )

Learn more about [package, technique, dataset] with the following:

This code through references and cites the following sources: