Publications by Andrew Kwak
Project 3
Suicide Rates Overview 1985 to 2016 Compares socio-economic info with suicide rates by year and country Introduction The dataset topic that I will be exploring for this third project is the suicide rate between the years 1985 to 2016. I picked this topic for two reasons. First, I was actually talking about suicide rates with some of my friend...
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Project 2
The dataset topic I will be discussing is the nutritional value of fast foods from varieties of fast food restaurants. The categorical variables in the dataset are the multiple restaurant names and 505 different food names from these restaurants. The quantitative variables are the amount of calories, calories from fat, total fat, saturated fat,...
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GIS Tutorial Homework
# Set various values needed, including names of files and FIPS codes for New Hampshire and South Carolina nhdatafilecsv <- "NHD2016.csv" nhfipscode <- "33" scdatafile <- "SCGOP2016.csv" scfipscode <- "45" library(tidyverse) ## ── Attaching core tidyverse packages ──────────────────────── tidyv...
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Week 8 Assignment
For this assignment, the “movielens” dataset from the “dslabs” package was used. The dataset contains movie ratings and information from the MovieLens website. # install.packages("dslabs") # these are data science labs library("dslabs") ## Warning: package 'dslabs' was built under R version 4.2.3 data(package="dslabs") list.files(syste...
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NYC Flights Assignment
library(tidyverse) ## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ── ## ✔ dplyr 1.1.0 ✔ readr 2.1.4 ## ✔ forcats 1.0.0 ✔ stringr 1.5.0 ## ✔ ggplot2 3.4.1 ✔ tibble 3.1.8 ## ✔ lubridate 1.9.2 ✔ tidyr 1.3.0...
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Treemaps, Heatmaps, Streamgraphs, and Alluvials Homework
#install.packages("treemap") #install.packages("RColorBrewer") library(treemap) library(tidyverse) ## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ── ## ✔ dplyr 1.1.0 ✔ readr 2.1.4 ## ✔ forcats 1.0.0 ✔ stringr 1.5.0 ## ✔ ggpl...
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Airquality Assignment
Airquality Tutorial and Homework Assignment Load in the Dataset Because airquality is a pre-built dataset, we can write it to our data directory to store it for later use. # install.packages("tidyverse") library(tidyverse) ## ── Attaching packages ───────────────────────────────�...
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