Part II of Ulta Data Visualizations. A look at Ulta through words. Plus, the intersection of Ulta and Sephora brands.

MATH 217 Capstone Project, December 2019. This project compares ethnic differences in survival rates for all organ transplants done between 2008-2015 in the U.S. It also examines whether 3 factors -- a recipient's ethnicity, the type of organ transplanted, and the number of years post transplant -- are associated with survival rate.

This code scrapes Ulta.com to create a custom dataset of Eye Treatment products. The data includes 4 variables - brand name, product name, price, and number of reviews. The scraped data is cleaned, put into a data frame, and written to a csv file. Final plot shows price vs. number of reviews.

Use multiple regression model to analyze the influence of physical appearance on instructor course evaluation scores. Dataset from Univ. of Texas at Austin.

Use linear regression model to determine which variable best predicts baseball success (runs). MLB baseball dataset. Test Moneyball strategy (looking at other variables to predict success).

2016 Brexit poll data shown as: 1) scatterplot with loess curves (ggplot), 2) line graphs superimposed on columns (highcharter), 3) simplified version of the 2nd chart.

using Highcharter package on DSLabs datasets

Tutorial on creating maps in R. Dataset is 2016 New Hampshire Democratic primary results.

Inference of proportions, margin of error, success-failure condition. Dataset is WIN/Gallup religiosity and Atheism poll.

This lab introduces the inference function in R for hypothesis testing or constructing confidence intervals.

This tutorial goes over how to scrape movie data from IMDB. Specifically, a single page on the site - Top 100 Movies of 2016. We create 3 plots to analyze the data.

This OpenIntro lab shows how to calculate and plot a confidence interval.

This project presents a data visualization from the USDA Food Safety & Inspection Service's 2014 Meat Recall dataset. The barplot shows the reasons for the recall and the total number of pounds of food recalled for each reason. Other charts are shown in this project.

In this lab, we learn how to generate a random sample in R and build a sampling distribution using the for loop.

The plot I created compares Property Hate Crimes and Crimes Against Persons in New York from 2010-2016.

This tutorial covers: - examining data - manipulating & analyzing data - filtering & sortiing data - grouping & summarizing data - working with dates

Open Intro Lab 4 - This R code lab explains how to plot a normal probability curve and evaluate a distribution for normality using Q-Q plot.

Earth Lab Tutorial for text mining Twitter for climate change tweets. Code executed on September, 28, 2019.

Babynames Version A has been tweaked. It now shows proportions instead of frequency. NOTE: The graph takes time to load - screen will appear gray while loading.

Minor aesthetic changes to the temperature plots

4 different plots for the temperature data