Publications by Cassandra Coste
Project 3 Dictionary with Analyst
library(readr) library(tidyverse) library(stringi) library(tm) library(corpus) library(wordcloud) library(data.table) library(stringr) library(kableExtra) Read in data and filter by position all_data<-read.csv("https://raw.githubusercontent.com/cassandra-coste/CUNY607/main/project_3/raw_jobdata.csv") all_data$position<-tolower(all_data$...
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CUNY 607 - Assignment 7
Introduction The purpose of this assignment is to practice loading HTML, XML, and JSON files into R. I created each of the files in Sublime Text, saved them in three formats, and uploaded them to Github. From there, each file is loaded into R and converted into a dataframe. The three dataframes will then be compared at the end. library(RCurl) li...
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CUNY 607 - Assignment 5
Load libraries library(tidyverse) library(knitr) Read in csv file to clean flights_raw <- as.data.frame(read.delim("https://github.com/cassandra-coste/CUNY607/raw/main/Flights%20Data.csv", header = TRUE, stringsAsFactors = FALSE, na.strings=c("","NA"), sep = ",", fileEncoding = "UTF-8-BOM")) Tidying the dataframe # rename nonsensical columns a...
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Project Three - Ngrams
library(readr) library(tidyverse) library(stringi) library(tm) library(corpus) library(wordcloud) library(data.table) Load data jobs_df <- as.data.frame(read.delim("https://raw.githubusercontent.com/cassandra-coste/CUNY607/main/project_3/raw_jobdata.csv", header = TRUE, stringsAsFactors = FALSE, sep = ",")) text <- jobs_df %>% select(des...
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CUNY 607 - Project 4
Introduction The purpose of this project is to practice using document classification models to predict the class of a document and further to practice using the textrecipes and tidymodels packages. For this project, I will be utilizing the SMS Spam Collection Data Set, a public set of SMS labeled messages that have been collected for mobile phon...
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Tidyverse Extend
Tage N Singh TIDYVERSE Create This vignette will provide a brief exploration of the “tidyverse” package using its built-in libraries The tidyverse is a powerful collection of R packages that are actually data tools All packages of the tidyverse share an underlying common APIs as listed below. Lists ggplot2, which implements the grammar of gr...
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CUNY 607 - Recommender System
Recommender Systems - An Analysis of Tinder - https://tinder.com/ For this assignment I looked at Tinder, an online dating platform. Scenario analysis: The target users: Any single/looking to date adult (though has a reputation of being most popular with millennials. Key users goals: Connect to new/unfamiliar people with the potential for romant...
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CUNY 607 - Tidyverse Create
Using nest, unnest, map, and tidy functions to model and compare nested data Nest and unnest - creating lists within dataframes and tidy data for modelling This is an introduction to the nest and unnest functions found in the ‘tidyr’ package which is included in the tidyverse. When you nest a data frame you create a column that contains a li...
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Vaccine Adverse Event Reporting (VAERS)
Exploring Network Analysis with Vaccine Adverse Event Reporting for COVID-19 In this project I explore the United State’s Vaccine Adverse Event Reporting System and seek to discover if their are symptoms that are more common in different manufacturers of the COVID-19 vaccine. Research Question Background and significance: Vaccine Adverse Even...
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Starbucks
Starbucks Milk Types Highest caffeine option iced drinks and their sugar content Sweetness by Milk Type Some commentary about Frame 1. A beautiful histogram on this board Some commentary about Frame 2. ...
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