This is a presentation for Project 3 of the Developing data products coursera course by John Hopkins University.

The aim of this project is to produce an interactive shiny app which can be deployed the shiny.io website. You can see the app on shiny.io here: https://eastc5.shinyapps.io/London_Marathon_Shiny_App/ And the associated source code on github here: https://github.com/eastc5/London_Marathon_Shiny_App/

My app uses data from the 2016 London marathon to visualize finishing times as a histogram and calculates quantiles for expected finishing times so that prospective London Marathon runners can see where their goal times will place them in the field for all runners and in their respective age and sex category.

On the next page is a screen shot of the app, but go see the real thing here: https://eastc5.shinyapps.io/London_Marathon_Shiny_App/

Below is a interactive histogram of 2016 London marathon finishing times built using plotly which the shiny app is based on.