Coursera Developing Data Products Project - Shiny App Pitch-book

As a NBA and data lover, I created this Shiny application to do some basic basketball stats analysis. This is a app to compare two NBA players' statistics.

In this app, you can:

• Compare 16 years of data: from season 01-02 to 15-16.
• Compare 7 stats: points, three points made, rebounds, assists, steals, blocks and turnovers.
• Compare in 2 ways: total or average
• Download source data and plot to your machine

1. Select a season from the drop-down list.
2. Select a player. The player names are based on the registered NBA players list of the season.
3. Select another player. By default, the top two scorers are pre-selected.
4. Select data type: Average or Total
5. Select the statistics you want to compare, e.g., Points and Rebounds.
6. View the chart.
7. If you want, click download buttons to retrieve the data in csv or the plot in pdf.

The chart is based on package ggplot2

This shinyApp is on shinyApp io: https://georgexiao.shinyapps.io/NBA_Player_Comparison/

The server.R, ui.R and R presentation the are on Github: https://github.com/georgexiao/ShinyApp-NBA_Player_Comparision

Rpub presentation: http://rpubs.com/GeorgeXiao/NBA_PLAYER