Publications by Susanna Wong
DATA 608 Story 3
Story - 3 : Do stricter gun laws reduce firearm gun deaths? This story explores whether stricter firearm control laws are linked to reduced firearm mortality rates in the United States. Using CDC data on firearm deaths per 100,000 people and categorizing states by the strictness of their gun laws, we will analyze the correlation between gun control...
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DATA 608 STORY 7
Story 7: “Where Do Strategic Minerals Come From?” The United States’ economic and national security depend on the secure supply of critical minerals, essential for industries such as defense, energy, and technology. Many of these minerals are sourced from countries outside the US, raising concerns about supply chain vulnerabilities during geo...
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DATA 608 Story 5
Story 5: “What Is The Effect Of The Earth’s Temperature on Cyclonic Storms?” As global temperatures rise, we’re seeing more intense and frequent cyclonic storms, including hurricanes, typhoons, and tornadoes. But how are these storms connected to warming temperatures? In this presentation, we’ll explore data from the past to understand ho...
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DATA 608 Story 4
Story 4: “How much Do We Get Paid?” Understanding salary variations across job roles is essential for career planning. With overlapping responsibilities among roles like Data Scientist, Data Engineer, and Business Analyst, it’s important to explore how pay differs by occupation and location. Using data from the U.S. Bureau of Labor Statistics...
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DATA 608 Story 1 (Revised)
Story - 1 : Infrastructure Investment & Jobs Act Funding Allocation The allocation of funds under the Infrastructure Investment & Jobs Act represents a significant federal investment aimed at improving infrastructure across the United States. Understanding the distribution of these funds can shed light whether allocation is equitable and if it favo...
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DATA 605 Crab Age
Problem 2 You are to register for Kaggle.com (free) and compete in the Regression with a Crab Age Dataset competition. https://www.kaggle.com/competitions/playground-series-s3e16 I want you to do the following. raw_train <- read.csv("https://raw.githubusercontent.com/suswong/DATA-605/main/crabagetrain.csv") test <- read.csv("https://raw.githubuserc...
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Document
R Markdown This is an R Markdown document. Markdown is a simple formatting syntax for authoring HTML, PDF, and MS Word documents. For more details on using R Markdown see http://rmarkdown.rstudio.com. When you click the Knit button a document will be generated that includes both content as well as the output of any embedded R code chunks within the...
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DATA 605 Final Part 1
Problem 1 Using R, set a random seed equal to 1234 (i.e., set.seed(1234)). Generate a random variable X that has 10,000 continuous random uniform values between 5 and 15. Then generate a random variable Y that has 10,000 random normal values with a mean of 10 and a standard deviation of 2.89. set.seed(1234) X <- runif(n=10000, min = 5, max = 15) Y...
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DATA 605 Homework 15
Problem 1 Find the equation of the regression line for the given points. Round any final values to the nearest hundredth, if necessary. (5.6,8.8), (6.3,12.4), (7,14.8), (7.7,18.2), (8.4,20.8) x y 5.6 8.8 6.3 12.4 7 14.8 7.7 18.2 8.4 20.8 x <- c(5.6, 6.3, 7, 7.7, 8.4) y <- c(8.8, 12.4, 14.8, 18.2, 20.8) df <- data.frame(x,y) model <- lm(y~x...
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