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Version 1.0 Box Plots Reloading data: R Code load(url("http://mobilize.stat.ucla.edu/day2/data/yrbss_07.Rda")) Description Load CDC data from UCLA Output > R Code women <- subset(cdc,gender=="Female") Description Save the subset of all Females into the object women Output > R Code men <- subset(cdc,gender=="Male") Description Save the subset of all Males into the object men Output > Remember how to get a summary? R Code summary(men$weight) Description Summary of men’s weight. Output Min. 1st Qu. Median Mean 3rd Qu. Max. NA's 34.47 63.05 70.76 74.61 83.01 181.00 420.00 Exploring Computer Science—Unit 6: Participatory Urban Sensing “R” Supplement Page 1 Version 1.0 We can look at it graphically: R Code boxplot(men$weight, range=0) Description Create a box plot of men’s weight. It is a graphical representation of the summary. Output Exploring Computer Science—Unit 6: Participatory Urban Sensing “R” Supplement Page 2 Version 1.0 Exploring Computer Science—Unit 6: Participatory Urban Sensing “R” Supplement Page 3 Version 1.0 Exploring Computer Science—Unit 6: Participatory Urban Sensing “R” Supplement Page 4 Version 1.0 Exploring Computer Science—Unit 6: Participatory Urban Sensing “R” Supplement Page 5 Version 1.0 Exploring Computer Science—Unit 6: Participatory Urban Sensing “R” Supplement Page 6 Version 1.0 ***Box Plots can be placed side by side broken up by answers to a category R Code boxplot(cdc$weight~cdc$gender,range=0) Description Boxplot of only the female’s weight on the left and only the male’s weights on the right. This shows a relationship between a quantitative variable (weight) and a categorical (gender). Output 1. According to the boxplots above, on average are females or males heavier? 2. What command would you use to compare weight and general_health? Write it down and paste the resulting boxplots in a document. What story do you see? Exploring Computer Science—Unit 6: Participatory Urban Sensing “R” Supplement Page 7 Version 1.0 ** Transforming data If you want to see your height in feet instead of meters you can transform it. R Code cdc <- transform(cdc, height=height/(0.0254*12),weight=weight/0.4536) Description Convert height from meters to feet and weight from kg to pounds. Once it is converted this way, it will stay converted. Output > R Code summary(cdc$height) Output 3. What is the mean height now? Part IV— ***Zooming in on Box Plots R Code new_cdc<-cdc Description Create a copy of cdc called new_cdc Output > R Code boxplot(new_cdc$weight~new_cdc$drink_soda, range=0) Exploring Computer Science—Unit 6: Participatory Urban Sensing “R” Supplement Page 8 Version 1.0 Description Comparing weight to drinking soda seems like not much of a difference zoomed out. We need to zoom in to see a trend. Output R Code boxplot(new_cdc$weight~new_cdc$drink_soda, range=0,ylim=c(135,150)) Description Zoom in between 135 and 150lbs (this was done after we changed kgs to lbs). Now we can see a difference in weight. Output 4. Paste the resulting plot below. **BMI (if you’re interested) If you want to look at weight taking to account height, you could use the BMI (Body Mass Index). BMI = weight (kg) / [height (m)]^2. You can create it using: > cdc$bmi <- cdc$weight/(cdc$height*cdc$height) The weight and height must be in kg and m’s so if you transformed yours, you have to go back and load the old data. Exploring Computer Science—Unit 6: Participatory Urban Sensing “R” Supplement Page 9 Version 1.0 R Code names(cdc) Description All the survey questions Output 5. Make 3 interesting plots and paste them in a document. Some of them may be Bar Plots or Mosaic Plots using categorical variables like we did a few days ago. Include your interpretation of the plot. Above are the names of all the questions and the possible answers are below: Here is a list of the survey questions and answers: Subset of questions from the YRBSS age grade gender: Female or Male hisp_latino: Are you Hispanic or Latino? (Yes or No) race: What is your race? (Select one or more responses.) A. American Indian or Alaska Native B. Asian C. Black or African American D. Native Hawaiian or Other Pacific Islander E White height (in meters) weight (in kilograms) Exploring Computer Science—Unit 6: Participatory Urban Sensing “R” Supplement Page 10 Version 1.0 general_health: How do you describe your health in general? A. Excellent B. Very good C. Good D. Fair hours_sleep: On an average school night, how many hours of sleep do you get? A. 4 or less hours B. 5 hours C. 6 hours D. 7 hours E. 8 hours F. 9 hours G. 10 or more hours asthma: Has a doctor or nurse ever told you that you have asthma? Yes, No or Not Sure. depressed: During the past 12 months, did you ever feel so sad or hopeless almost every day for two weeks or more in a row that you stopped doing some usual activities? Yes or No. helmet: When you rode a bicycle during the past 12 months, how often did you wear a helmet? A. I did not ride a bicycle during the past 12 months B. Never wore a helmet C. Rarely wore a helmet D. Sometimes wore a helmet E. Most of the time wore a helmet F. Always wore a helmet seat_belt: How often do you wear a seat belt when riding in a car driven by someone else? A. Never B. Rarely C. Sometimes D. Most of the time E. Always sunscreen: When you are outside for more than one hour on a sunny day, how often do you wear sunscreen with an SPF of 15 or higher? A. Never B. Rarely C. Sometimes D. Most of the time E. Always describe_weight: How do you describe your weight? A. Very underweight B. Slightly underweight C. About the right weight D. Slightly overweight E. Very overweight eat_fruit: (Do not A. I B. 1 C. 4 D. 1 E. 2 F. 3 G. 4 During the past 7 days, how many times did you eat fruit? count fruit juice.) did not eat fruit during the past 7 days to 3 times during the past 7 days to 6 times during the past 7 days time per day times per day times per day or more times per day eat_salad: During the past 7 days, how many times did you eat green salad? A. I did not eat green salad during the past 7 days Exploring Computer Science—Unit 6: Participatory Urban Sensing “R” Supplement Page 11 Version 1.0 B. C. D. E. F. G. 1 4 1 2 3 4 to 3 times during the past 7 days to 6 times during the past 7 days time per day times per day times per day or more times per day drink_soda: During the past 7 days, how many times did you drink a can, bottle, or glass of soda or pop, such as Coke, Pepsi, or Sprite? (Do not include diet soda or diet pop.) A. I did not drink soda or pop during the past 7 days B. 1 to 3 times during the past 7 days C. 4 to 6 times during the past 7 days D. 1 time per day E. 2 times per day F. 3 times per day G. 4 or more times per day drink_milk: During the past 7 days, how many glasses of milk did you drink? (Include the milk you drank in a glass or cup, from a carton, or with cereal. Count the half pint of milk served at school as equal to one glass.) A. I did not drink milk during the past 7 days B. 1 to 3 glasses during the past 7 days C. 4 to 6 glasses during the past 7 days D. 1 glass per day E. 2 glasses per day F. 3 glasses per day G. 4 or more glasses per day days_exercise_20: On how many of the past 7 days did you exercise or participate in physical activity for at least 20 minutes that made you sweat and breathe hard, such as basketball, soccer, running, swimming laps, fast bicycling, fast dancing, or similar aerobic activities? A. 0 days B. 1 day C. 2 days D. 3 days E. 4 days F. 5 days G. 6 days H. 7 days days_exercise_60: During the past 7 days, on how many days were you physically active for a total of at least 60 minutes per day? (Add up all the time you spend in any kind of physical activity that increases your heart rate and makes you breathe hard some of the time.) A. 0 days B. 1 day C. 2 days D. 3 days E. 4 days F. 5 days Exploring Computer Science—Unit 6: Participatory Urban Sensing “R” Supplement Page 12 Version 1.0 G. 6 days H. 7 days number_teams: During the past 12 months, on how many sports teams did you play? (Include any teams run by your school or community groups.) A. 0 teams B. 1 team C. 2 teams D. 3 or more teams hours_tv: On an average school day, how many hours do you watch TV? A. I do not watch TV on an average school day B. Less than 1 hour per day C. 1 hour per day D. 2 hours per day E. 3 hours per day F. 4 hours per day G. 5 or more hours per day hours_videogame: On an average school day, how many hours do you play video or computer games or use a computer for something that is not school work? (Include activities such as Nintendo, Game Boy, PlayStation, Xbox, computer games, and the Internet.) A. I do not play video or computer games or use a computer for something that is not school work B. Less than 1 hour per day C. 1 hour per day D. 2 hours per day E. 3 hours per day F. 4 hours per day G. 5 or more hours per day days_smoking: During the past 30 days, on how many days did you smoke cigarettes? A. 0 days B. 1 or 2 days C. 3 to 5 days D. 6 to 9 days E. 10 to 19 days F. 20 to 29 days G. All 30 days fights: During the past 12 months, how many times were you in a physical fight? A. 0 times B. 1 time C. 2 or 3 times D. 4 or 5 times E. 6 or 7 times F. 8 or 9 times G. 10 or 11 times H. 12 or more times Exploring Computer Science—Unit 6: Participatory Urban Sensing “R” Supplement Page 13