"Easy GDP" App Presentation

"Easy GDP" App Presentation

by Davin Kaing

Brief Overview

• This app uses Gross Domestic Product data of the U.S. from the years: 1960 to 2013.

• The purpose of this app is to quantify the frequencies of different GDP values in the time period.

• These quanitifications vary depending on the bins used.

The GDP Data

• The GDP Data of the U.S. is downloaded from the WDI package. The code below shows the data extraction.

library(WDI)

## Loading required package: RJSONIO

US = WDI(indicator = 'NY.GDP.PCAP.KD', country = c( 'US'), start = 1940, end = 2013)
US <- US[,3:4]
colnames(US) <- c("GDP", "Year")

Data Visualization

plot(US$Year, US$GDP, type = "l", xlab = "Year", ylab = "GDP per Capita", main = "GDP Per Capita of the U.S.")

GDP Frequencies

• This app quantify the GDP frequencies from year 1960 to 2000. A histogram of the GDP is plotted and it can be modified by the number of bins by using the slider bar in the app.

• With this app, it is easy to look at the changes of GDP frequencies with respect to the number of bins used.

• This app is also useful for statistics students to look at the accuracy of a histogram plot when modulating the number of bins.

GDP Histogram Plot

hist(US$GDP, xlab = "U.S. GDP", ylab = "Frequencies", main = "GDP per Capita Frequencies")