Publications by Kitada Smalley
Recreating Lakers Shot Plot
Los Angeles Lakers Shooting Heatmap In this exercise we will recreate a graphic that describes positions on the basketball court the average points scored from that position and the frequency at which shot are taken from this position. The Data These data represent the LA Lakers 2009/2010 season and come from http://www.basketballgeek.com. We ar...
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MATH 138: SLR
Example #1: Hikers The following data represents the body weight (lbs) and backpack weight (lbs) for a group of hikers: ## BACKPACKING body<-c(120, 187, 109, 103, 131, 165, 159, 116) backpack<-c(26, 30, 26, 24, 29, 35, 31, 28) hikers<-data.frame(body, backpack) Create a scatterplot library(tidyverse) ggplot(hikers, aes(body, backpack))+ geom...
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DataViz: Choosing an appropriate visualization tool
I: Basic Graphics We will be doing simplified reproductions of figures found in Storytelling with Data. When we learn more about ggplot we can personalize and polish our plots more. 1) Heatmapped Table To create a heatmapped table you might want to use the following packages: ztable or tidyverse. I had a lot of difficult with installing ztable. ...
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Language Explorer Demo Examples
Example #1: Which languages have the greatest number of linguistically isolated households? STEP 1: Import Pre-Cleaned Data hhl<-read.csv("https://raw.githubusercontent.com/kitadasmalley/languageExplorer/main/data/yearHHL_Ex.csv", header=TRUE) ## Warning in scan(file = file, what = what, sep = sep, quote = quote, dec = dec, : ## embedded nul(s) ...
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MATH 138: Scatterplots, Correlation, and SLR
Example #1: Hikers The following data represents the body weight (lbs) and backpack weight (lbs) for a group of hikers: ## BACKPACKING body<-c(120, 187, 109, 103, 131, 165, 159, 116) backpack<-c(26, 30, 26, 24, 29, 35, 31, 28) hikers<-data.frame(body, backpack) Create a scatterplot library(tidyverse) ggplot(hikers, aes(body, backpack))+ geom...
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Regression Examples
Multiple Linear Regression Categorical Explanatory Variables and Interactions Example 1: Shipping Books When you buy a book off Amazon, you get a quote for how much it costs to ship. This is based on the weight of the book. If you didn’t know the weight of the book, what other characteristics of it could you measure to help predict the weight...
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DataViz: Polishing Demo
Adapted from a lab written by Prof Charlotte Wickham The data These data come from the hflights package, but some summarization is done for you. library(tidyverse) iah <- read_csv("http://vis.cwick.co.nz/data/iah-summary.csv") Start with this heatmap: The heatmap represents the proportion of flights that have a departure delay of more that 15 m...
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DataViz: Scales Lab (SOLUTIONS)
Adapted from a lab written by Prof Charlotte Wickham LAB SOLUTIONS: Exploring flight delays To experiment with some features of scales we are going to work with a heatmap of the proportion of flights that have a departure delay of more that 15 minutes (prop_over_15) at the George Bush Intercontinental Airport (IAH) by day of the week (DayOfWeek...
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DataViz: Scales Lab (Directions)
Adapted from a lab written by Prof Charlotte Wickham LAB DIRECTIONS: Exploring flight delays To experiment with some features of scales we are going to work with a heatmap of the proportion of flights that have a departure delay of more that 15 minutes (prop_over_15) at the George Bush Intercontinental Airport (IAH) by day of the week (DayOfWee...
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DV Mid2:Thanksgiving SOLUTION
Motivation Thanksgiving is just around the corner. Let’s celebrate the best way we know how, by analyzing some festive data! I hope you have fun making graphics! Happy Thanksgiving! Dataset/Article We are using the data from fivethirtyeight the Here’s What Your Part of America Eats on Thanksgiving article https://fivethirtyeight.com/features...
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