Publications by Kory Martin
DATA 624 - Homework #4
Problem 3.1 Using visualizations, explore the predictor variables to understand their distributions as well as the relationships between predictors data(Glass) str(Glass) ## 'data.frame': 214 obs. of 10 variables: ## $ RI : num 1.52 1.52 1.52 1.52 1.52 ... ## $ Na : num 13.6 13.9 13.5 13.2 13.3 ... ## $ Mg : num 4.49 3.6 3.55 3.69 3...
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DATA 624 - Assignment #3
Problem 5.1 Produce forecasts for the following series using whichever of NAIVE(y), SNAIVE(y) or RW(y ~ drift()) is more appropriate in each case: Australian Population (global_economy) aus_economy_pop <- global_economy %>% filter(Country == 'Australia') aus_fit_model <- aus_economy_pop %>% model(RW(Population ~ drift())) aus_forecast <- a...
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DATA 624 - Homework #2
Problem 3.1 Consider the GDP information in global_economy. Plot the GDP per capita for each country over time. # Identify the top 10 countries based on mean per cap GDP over time top_10_countries <- as_tibble(global_economy) %>% mutate(gdp_per_cap = GDP/Population) %>% group_by(Country) %>% summarize(mean_per_cap_gdp = mean(gdp_per_cap)) %>%...
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DATA 624 - Homework #1
Overview This homework assignment is focused on Time Series and includes Exercises 2.1, 2.2, 2.3, 2.4, 2.5 and 2.8 from the Hyndman text. Setup options(repos = list(CRAN="http://cran.rstudio.com/")) knitr::opts_chunk$set(echo = TRUE) install.packages("USgas") ## ## The downloaded binary packages are in ## /var/folders/4l/182nghl547v3mxtj6p_9dg...
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DATA 605 - Final Exam (Part I)
Setup Probability Density 1: X~Gamma Using R, generate a random variable X that has 10,000 random Gamma pdf values. A Gamma pdf is completely describe by n (a size parameter) and lambda (\(\lambda\) , a shape parameter). Choose any n greater 3 and an expected value \(\lambda\) between 2 and 10 (you choose). set.seed(51023) n = 10000 shape = 5 lam...
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DATA 604 - Final Exam (Part II)
Setup You are to register for Kaggle.com (free) and compete in the House Prices: Advanced Regression Techniques competition. https://www.kaggle.com/c/house-prices-advanced-regression-techniques . I want you to do the following. Problem 1 - Descriptive and Inferential Statistics. Provide univariate descriptive statistics and appropriate plots for ...
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DATA 606 - Final Project
1. Introduction For this project, we will explore data from the California Department of Education in an effort to determine if California charter schools are better than California public schools. We will attempt to evaluate this question by comparing the mean performance across charter schools and public schools across the following areas: Suspe...
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DATA 607 - Final Project
1. Introduction a. Overview This project is focused on extending the work completed in Project 3, where we set out to identify the top skills required for a Data Scientist. In that project, we collected over 100+ postings collected across several job boards, and extracted job requirements information from the various postings to generate a corpus ...
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DATA 607 - Tidyverse Extended Assignment
Introduction: For my tidyverse create assignment, I chose a data set containing roster information for all NCAA Women’s Basketball teams. I intend to use readr to read in my data, dplyr to manipulate my data and ggplot2 to display my analysis. Loading/Installing Packages library(ggplot2) library(dplyr) ## ## Attaching package: 'dplyr' ## The fo...
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DATA 605 - Week 12 Discussion
Introduction For this exercise, I used a real estate price dataset obtained from Kaggle. This dataset includes 6 predictor variables, and is focused on trying to predict the house price of a unit area. Assignment: - Using R, build a multiple regression model for data that interests you. - Include in this model at least one quadratic term, one dicho...
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