Publications by Enid Roman
Data 624 Homework 2 Chapter 3.7
1. Consider the GDP information in global_economy. Plot the GDP per capita for each country over time. Which country has the highest GDP per capita? How has this changed over time? # Load required packages library(fpp3) library(tsibble) library(ggplot2) library(dplyr) #install.packages("forecast") library(forecast) library(zoo) #install....
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Data 624 Homework 1 Chapter 2.10
Explore the following four time series: Bricks from aus_production, Lynx from pelt, Close from gafa_stock, Demand from vic_elec. Use ? (or help()) to find out about the data in each series. What is the time interval of each series? Use autoplot() to produce a time plot of each series. For the last plot, modify the axis labels and title. # Load ...
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Data 622 - Machine Learning and Big Data - HW #3 - Decision Trees and Support Vector Machine Algorithms and Essay
Please note I continued from HW #2. You can scroll down to line # 316 where I added analysis of the Comparing the attributes to the target plots. Then scroll to line # 546 Random Forest. Since Random Forest 500 trees scored an 100% accuracy I did an evaluation to make sure it was not due to overfitting. I hope I did the analysis correct for the...
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Data 622 - Machine Learning and Big Data - HW #2 - Decision Trees Algorithms
#install.packages("RCurl", repos = "http://cran.us.r-project.org") #install.packages("randomForest") #install.packages("caTools") library(devtools) library(RCurl) library(tidyverse) library(dplyr) library(rpart) library(rpart.plot) library(randomForest) library(caTools) Context This data set dates from 1988 and consists of four database...
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Data 622 - Machine Learning and Big Data - HW #1 - Exploratory Analysis
# Upload the libraries needed. library(rpart.plot) library(rpart) library(RColorBrewer) library(corrplot) library(GGally) library(scales) library(tidyr) library(tidyverse) library(dplyr) library(ggplot2) library(tabulate) library(knitr) library(kableExtra) library(summarytools) library(stats) library(class) # Import the data from gi...
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DATA 621 – Business Analytics and Data Mining - HW 5 - WINE EVALUATION
INTRODUCTION In this assignment I will explore, analyze and model a data set containing information on approximately 12,000 commercially available wines. The variables are mostly related to the chemical properties of the wine being sold. The response variable is the number of sample cases of wine that were purchased by wine distribution compani...
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Data 608 - Story 6 - What Is The State of Food Security and Nutrition in the US?"
Reference: https://www.ers.usda.gov/topics/food-nutrition-assistance/food-security-in-the-u-s/interactive-charts-and-highlights/ https://usafacts.org/data/topics/people-society/poverty/ foodsecurity1 = read.csv("https://raw.githubusercontent.com/enidroman/Data_608_Knowledge_and_Visual_Analytics/main/foodsecurity_data_file_2001_to%202022.csv") food...
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DATA 621 – Business Analytics and Data Mining - HW 3 - CRIME
INTRODUCTION In this assignment, I will explore, analyze and model a data set containing information on crime for various neighborhoods of a major city. Each record has a response variable indicating whether or not the crime rate is above the median crime rate (1) or not (0). My objective is to build a binary logistic regression model on the tr...
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Data 608 - Story 5 - What Is The Effect Of The Earth’s Temperature on Cyclonic Storms?
# Reference: https://www.ncei.noaa.gov/access/monitoring/climate-at-a-glance/global/time-series/globe/land_ocean/12/9/1998-2023?trend=true&trend_base=100&begtrendyear=1998&endtrendyear=2023 df1 = read.csv("https://raw.githubusercontent.com/enidroman/Data_608_Knowledge_and_Visual_Analytics/main/Global%20Land%20and%20Ocean%20Temp%202.csv") df1 ## ...
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Data 608 - Story - 3 : Do stricter gun laws reduce firearm gun deaths? With Codes
Story -3 : Do stricter gun laws reduce firearm gun deaths? The CDC publishes firearm mortality for each State per 100,000 persons https://www.cdc.gov/nchs/pressroom/sosmap/firearm_mortality/firearm.htm. Each State’ firearm control laws can be categorized as very strict to very lax. The purpose of this Story is to answer the question, ” Do ...
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