Publications by Kitada Smalley
DataViz: Interactive Demos
The following demos are modified from https://www.r-graph-gallery.com/interactive-charts.html. I. Examples with plotly 1) Scatterplots fert<-read.csv("https://raw.githubusercontent.com/kitadasmalley/FA2020_DataViz/main/data/gapminderFert.csv", header=TRUE) library(tidyverse) #install.packages("plotly") library(plotly) p<- fert...
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DataViz: Dynamic Visualization with Gapminder
Motivating Example: Gapminder Fertility vs Life Expectancy In this demo we are going to learn about dynamic graphics by using the Gapminder data on Fertility. These data are discussed in the Hans Rosling TED Talk (start at 2:30) https://youtu.be/hVimVzgtD6w?t=149. For more detail on how the data were wrangled please look at the article “How to...
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FA2020_DV:Mid1 SOLUTION
Code by student (Brad Jackson) Recreating Graphic 1. Importing and Tidying library(tidyverse) # Import data sports<-read.csv("https://raw.githubusercontent.com/kitadasmalley/FA2020_DataViz/main/data/NFL_fandom_data.csv", header=TRUE) # Tidy the data ## Use gather to create: ### column for sport (categorical variable) ### Column for search inte...
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MATH 138: Confidence Intervals
The Big Idea: The sampling distribution tells us how close the sample mean, \(\bar{x}\), is likely to be to the population mean, \(\mu\). All confidence intervals that we will construct in this call have a form similar to this: \[\text{estimate} \pm \text{margin of error}\] The margin of error is the product of the critical value and the standard...
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FallChallenge2020: Voter Turn-out
Download the data I uploaded the data to my github: library(tidyverse) ### this just puts the 2016 and 2018 datasets together data1618<-read.csv("https://raw.githubusercontent.com/kitadasmalley/fallChallenge2020/ff4d4795566a553cade80ca6e6fe15ea69ee6e1b/data/data_2016_2018.csv", header=TRUE) #dim(data1618) #names(data1618) ## ...
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DataViz: Map Building Demo
Motivating Example In this demo we will be looking at factors for housing insecurity and homelessness in Seattle, Washington. Step 1: Polygon Maps library(tidyverse) #install.packages("maps") library(maps) wa_counties <- map_data("county", "washington") %>% select(lon = long, lat, group, id = subregion) head(wa_counties) ## lon ...
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DataViz: Interactive Demos (Part2)
The following demos are modified from https://www.r-graph-gallery.com/interactive-charts.html. Part 1 For scatterplots, heatmaps, and area plots see: https://rpubs.com/hsmalley/dataViz_interact Part 2 IV. Chord diagrams with chorddiag #devtools::install_github("mattflor/chorddiag") library(chorddiag) # Create dummy data m <- matrix(c(11975, ...
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DataViz: Thanksgiving
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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MATH138: Cereal MLR
Motivating Example: Breakfast Cereal Data is a sample of 30 breakfast cereals. cereal<-read.delim("https://www.lock5stat.com/datasets/Cereal.txt", header=TRUE) head(cereal) ## Name Company Serving Calories Fat Sodium Carbs Fiber Sugars ## 1 AppleJacks K 1.00 117 0.6 143 27 0....
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DataViz: Ensemble Graphics
Ensemble Graphics These examples modified from Chapter 12 Ensemble Graphics and Case Studies in Graphical Data Analysis with R,by Antony Unwin Motivating Example 1: Coffee #install.packages("pgmm") library(pgmm) data("coffee") head(coffee) ## Variety Country Water Bean Weight Extract Yield ph Value Free Acid ## 1 1 mexico 8.93999...
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