Income {BSDA} | R Documentation |
Percent change in personal income from 1st to 2nd quarter in 2000
Description
Data for Exercise 1.33
Usage
Income
Format
A data frame/tibble with 51 observations on two variables
- state
a character variable with values
Alabama
,Alaska
,Arizona
,Arkansas
,California
,Colorado
,Connecticut
,Delaware
,District of Colunbia
,Florida
,Georgia
,Hawaii
,Idaho
,Illinois
,Indiana
,Iowa
,Kansas
,Kentucky
,Louisiana
,Maine
,Maryland
,Massachusetts
,Michigan
,Minnesota
,Mississippi
,Missour
,Montana
,Nebraska
,Nevada
,New Hampshire
,New Jersey
,New Mexico
,New York
,North Carolina
,North Dakota
,Ohio
,Oklahoma
,Oregon
,Pennsylvania
,Rhode Island
,South Carolina
,South Dakota
,Tennessee
,Texas
,Utah
,Vermont
,Virginia
,Washington
,West Virginia
,Wisconsin
, andWyoming
- percent_change
percent change in income from first quarter to the second quarter of 2000
Source
US Department of Commerce.
References
Kitchens, L. J. (2003) Basic Statistics and Data Analysis. Pacific Grove, CA: Brooks/Cole, a division of Thomson Learning.
Examples
Income$class <- cut(Income$percent_change,
breaks = c(-Inf, 0.5, 1.0, 1.5, 2.0, Inf))
T1 <- xtabs(~class, data = Income)
T1
barplot(T1, col = "pink")
## Not run:
library(ggplot2)
DF <- as.data.frame(T1)
DF
ggplot2::ggplot(data = DF, aes(x = class, y = Freq)) +
geom_bar(stat = "identity", fill = "purple") +
theme_bw()
## End(Not run)