John Berlin CS725 Information Visualizatoin

Visualization Implementation (VI4)

Data set used is Summer Olympic converted to json

View On bl.ocks.org

Chart 1: Scatter Plot

Chart Title: Number of Men To Women Sized by Participants

Channels:

Magnitude:

• Position On Common Scale: The spacing in the x y axis shows relation of the number of men to women per data point. Through is the discriminability is easily maintained as each point is at a different position
• Area: The area size per data point shows a third ordered attribute number of participants. The discriminability of this channel is harder due to the simularities in area region

The following R code was used to generate the first image

library(ggplot2)
library(scales)
setwd(getwd())
d <- read.csv("data.csv")
ggplot(d,aes(x=Men,y=Women))+
  geom_point(aes(size=Participants))+
  scale_x_continuous(breaks = pretty_breaks(n=15)) +
  scale_y_continuous(breaks=pretty_breaks(n=15)) + 
  labs(color = "Year") + ggtitle("Number of Men To Women Area by Participants")

Chart 2: Bar Chart

Chart Title: Number of Countries Hosted By Year Color By Host

Channels:

Magnitude:

• Position On Common Scale: Height of the bars shows the number of attending countries

Identity:

• Color Hue: Each color bar represents a host country
• Spatial Region: Each bar is spaced apart to show individual year

The discriminability for each of the channels is maintained as each bar is spaced evenily(Spacial Region). Color discriminability is also maintained as each color is unique. Height of each bar is unique thus providing the discriminability for magnitude.

The following R code was used to generate the second image.

library(ggplot2)
library(scales)
setwd(getwd())
d <- read.csv("data.csv")
ggplot(d,aes(x=factor(Year),y=Countries,fill=Country))+
  geom_bar(stat="identity") + 
  labs(x = "Year") + ggtitle("Number of Countries Hosted By Year Color By Host")