The data is a subset of the 2009 survey from BRFSS, an ongoing data collection program designed to measure behavioral risk factors for the adult population (18 years of age or older) living in households.
data(riskfactors)An object of class tbl_df (inherits from tbl, data.frame) with 245 rows and 34 columns.
the codebook: https://www.cdc.gov/brfss/annual_data/annual_2009.htm
Format: a data frame with 245 observations on the following 34 variables.
stateA factor with 52 levels. The labels and states corresponding to the labels are as follows: 1:Alabama, 2:Alaska, 4:Arizona, 5:Arkansas, 6:California,8:Colorado, 9:Connecticut, 10:Delaware, 11:District of Columbia,12:Florida, 13:Georgia, 15:Hawaii, 16:Idaho, 1 :Illinois,18:Indiana, 19:Iowa, 20:Kansas, 21:Kentucky, 22:Louisiana,23:Maine, 24:Maryland, 25:Massachusetts, 26:Michigan,27:Minnesota, 28:Mississippi, 2:Missouri, 30:Montana,31:Nebraska, 32:Nevada, 33:New Hampshire, 34:New Jersey, 35:NewMexico, 36:New York, 37:North Carolina, 38:North Dakota, 39:Ohio,40:Oklahoma, 41:Oregon, 42:Pennsylvania, 44:Rhode Island, 45:SouthCarolina, 46:South Dakota, 47:Tennessee, 48:Texas, 49:Utah, 50:Vermont, 51:Virginia, 53:Washington, 54:West Virginia,55:Wisconsin, 56:Wyoming, 66:Guam, 72:Puerto Rico, 78:Virgin Islands
sexA factor with levels Male Female.
ageA numeric vector from 7 to 97.
weight_lbsThe weight without shoes in pounds.
height_inchThe weight without shoes in inches.
bmiBody Mass Index (BMI). Computed by weight in Kilogram /(height in Meters * height in Meters). Missing if any of weight or height is missing.
maritalA factor with levels Married Divorced
Widowed Separated NeverMarried UnmarriedCouple.
pregnantWhether pregnant now with two levels Yes and
No.
childrenA numeric vector giving the number of children less than 18 years of age in household.
educationA factor with the education levels 1
2 3 4 5 6 as 1: Never attended
school or only kindergarten; 2: Grades 1 through 8 (Elementary);
3: Grades 9 through 11 (Some high school); 4: Grade 12 or GED
(High school graduate); 5: College 1 year to 3 years (Some college
or technical school); 6: College 4 years or more (College
graduate).
employmentA factor showing the employment status with levels
1 2 3 4 5 7 8. The labels
mean -- 1: Employed for wages; 2: Self-employed; 3: Out of work for more
than 1 year; 4: Out of work for less that 1 year; 5: A homemaker; 6: A
student; 7:Retired; 8: Unable to work.
incomeThe annual household income from all sources with
levels <10k 10-15k 15-20k 20-25k 25-35k
35-50k 50-75k >75k Dontknow Refused.
veteranA factor with levels 1 2 3
4 5. The question for this variable is: Have you ever
served on active duty in the United States Armed Forces, either in the
regular military or in a National Guard or military reserve unit? Active
duty does not include training for the Reserves or National Guard, but
DOES include activation, for example, for the Persian Gulf War. And the
labels are meaning: 1: Yes, now on active duty; 2: Yes, on active duty
during the last 12 months, but not now; 3: Yes, on active duty in the
past, but not during the last 12 months; 4: No, training for Reserves or
National Guard only; 5: No, never served in the military.
hispanicA factor with levels Yes No
corresponding to the question: are you Hispanic or Latino?
health_generalAnswer to question "in general your health is"
with levels Excellent VeryGood Good Fair
Poor Refused.
health_physicalThe number of days during the last 30 days that the respondent's physical health was not good. -7 is for "Don't know/Not sure", and -9 is for "Refused".
health_mentalThe number of days during the last 30 days that the respondent's mental health was not good. -7 is for "Don't know/Not sure", and -9 is for "Refused".
health_poorThe number of days during the last 30 days that poor physical or mental health keep the respondent from doing usual activities, such as self-care, work, or recreation. -7 is for "Don't know/Not sure", and -9 is for "Refused".
health_coverWhether having any kind of health care
coverage, including health insurance, prepaid plans such as HMOs,
or government plans such as Medicare. The answer has two levels:
Yes and No.
provide_careWhether providing any such care or assistance
to a friend or family member during the past month, with levels Yes
and No.
activity_limitedWhether being limited in any way in any
activities because of physical, mental, or emotional problems,
with levels Yes and No.
drink_anyWhether having had at least one drink of
any alcoholic beverage such as beer, wine, a malt beverage or
liquor during the past 30 days, with levels Yes and
No.
drink_daysThe number of days during the past 30 days that the respondent had at least one drink of any alcoholic beverage. -7 is for "Don't know/Not sure", and -9 is for "Refused".
drink_avgThe number of drinks on the average the respondent had on the days when he/she drank, during the past 30 days. -7 is for "Don't know/Not sure", and -9 is for "Refused".
smoke_100Whether having smoked at least
100 cigarettes in the entire life, with levels Yes and
No.
smoke_daysThe frequency of days now
smoking, with levels Everyday Somedays and
NotAtAll(not at all).
smoke_stopWhether
having stopped smoking for one day or longer during the past 12
months because the respondent was trying to quit smoking, with
levels Yes and No.
smoke_lastA factor
with levels 3 4 5 6 7 8
corresponding to the question: how long has it been since last
smoking cigarettes regularly? The labels mean: 3: Within the past
6 months (3 months but less than 6 months ago); 4: Within the past
year (6 months but less than 1 year ago); 5: Within the past 5
years (1 year but less than 5 years ago); 6: Within the past 10
years (5 years but less than 10 years ago); 7: 10 years or more;
8: Never smoked regularly.
diet_fruitThe number of fruit the respondent eat every year, not counting juice. -7 is for "Don't know/Not sure", and -9 is for "Refused".
diet_saladThe number of servings of green salad the respondent eat every year. -7 is for "Don't know/Not sure", and -9 is for "Refused".
diet_potatoThe number of servings of potatoes, not including french fries, fried potatoes, or potato chips, that the respondent eat every year. -7 is for "Don't know/Not sure", and -9 is for "Refused".
diet_carrotThe number of carrots the respondent eat every year. -7 is for "Don't know/Not sure", and -9 is for "Refused".
diet_vegetableThe number of servings of vegetables the respondent eat every year, not counting carrots, potatoes, or salad. -7 is for "Don't know/Not sure", and -9 is for "Refused".
diet_juiceThe number of fruit juices such as orange, grapefruit, or tomato that the respondent drink every year. -7 is for "Don't know/Not sure", and -9 is for "Refused".
library(MissingDataGUI) (named brfss)
vis_miss(riskfactors)
# Look at the missingness in the variables
miss_var_summary(riskfactors)
# and now as a plot
gg_miss_var(riskfactors)
if (FALSE) {
# Look at the missingness in bmi and poor health
library(ggplot2)
p <-
ggplot(riskfactors,
aes(x = health_poor,
y = bmi)) +
geom_miss_point()
p
# for each sex?
p + facet_wrap(~sex)
# for each education bracket?
p + facet_wrap(~education)
}
Run the code above in your browser using DataLab