Publications by Jeff Parks
CUNY DATA 607 - Final Project
CUNY Data 607 - Final Project Overview Project Update Datasets Data Transformations Exporatory Data Analysis Linear Models Conclusions References Appendix Jeff Parks 1/15/2022 CUNY Data 607 - Final Project Overview The spread and effects of COVID-19 misinformation have been widely reported as an obstacle to vaccination. Conspiracy theories ...
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Working with XML & JSON
On Rpubs at: https://rpubs.com/jefedigital/853859 HTML html_url <- 'https://raw.githubusercontent.com/jefedigital/cuny-data-607/main/classes/week%207%20-%20web%20technologies/assignment/data/mybooks.html' html_df <- read_html(html_url) %>% html_elements(xpath='//table') %>% html_table(header=TRUE) %>% as.data.frame() title subtitle au...
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COVID-19 vaccination regression to political alignment and CDC vulnerability indexes
Part 1 - Introduction The prevalence and intractability of COVID-19 ‘vaccine hesitancy’ over the past 18 months has been alarming to watch, with resistance and misinformation around public health fanned by political figures, media outlets and social media - especially to vulnerable populations in the United States. While COVID-19 vaccine hesi...
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Web APIs
CUNY Data 607 - Web APIs Assignment Setup Call API Parse JSON Convert to DataFrame Jeff Parks Oct 24, 2021 CUNY Data 607 - Web APIs Assignment The New York Times web site provides a rich set of APIs, as described here: https://developer.nytimes.com/apis. Your task is to choose one of the New York Times APIs, construct an interface in R to r...
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Vaccinations
Vaccination Data Jeff Parks 2021-09-26 Assignment Our source data is a COVID-19 table of Israeli hospitalization rates from August 2021. These data are labeled for patient age and for vaccination status. img: data preview With this data and the inclusion of some broader domain knowledge, we will attempt to answer the following questions: Do y...
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chess-tournament
Project 1 - Chess Tournament Jeff Parks 2021-09-19 Project Description For this project, we’re provided a text file with chess tournament results in a tabular format. Our task is to generate a .CSV file with the following information for all of the players: Player’s Name Player’s State Total Number of Points Player’s Pre-Rating Average ...
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Data 607 - Week 3 Assignment
Data 607 - Week 3 Assignment Jeff Parks 2021-09-11 1. Provide code that identifies the majors that contain either “DATA” or “STATISTICS” library(tidyverse) library(fivethirtyeight) data("college_all_ages") df <- college_all_ages str_subset((df$major),regex("DATA|STATISTICS", ignore_case=TRUE)) ## [1] "Computer Programming And Data Proce...
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FIlm Ratings
Film Ratings Jeff Parks 2021-09-05 Introduction For this quick survey, respondents were asked via text-messaging app to rate six recent major Hollywood films on a 1-5 scale (with 1 being the worst and 5 the best.) Black Widow Cruella F9: The Fast Saga Godzilla vs. Kong Jungle Cruise The Green Knight Results were manually entered into an Excel...
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FiveThirtyEight - COVIID-19 Approval Tracker
FiveThirtyEight COVID-19 Approval Tracker Jeff Parks 2021-08-29 Introduction FiveThirtyEight publishes a daily tracker measuring public approval of the President’s handling of the COVID-19 pandemic. Their approach aggregates all available, scientifically-valid surveys from the field, and weights the results from each pollster using a custom ra...
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Transforming Wide Datasets
Transforming Wide Datasets Assignment Dataset 1: World Governmental Indicators Dataset 2: League of Legends Champions Dataset 3: Global Infant Mortality Rates Jeff Parks 2021-10-06 Transforming Wide Datasets Assignment Three different untidy (or “wide”) datasets were selected in order to practice different methods of data preparation. ...
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