Publications by Sheyla Daccarett
Project 2a-Flags of the World
library(png) Image by Gordon Johnson from Pixabay Data Import Download flag.csv and flag.names to your working directory. Make sure to set your working directory appropriately! Let’s look at some information about this file. Open flag.names in RStudio by double clicking it in the files pane in bottom left. Read through this file. Who is...
3906 sym R (18489 sym/44 pcs) 1 img
Project 2a-Flags of the World
library(png) Image by Gordon Johnson from Pixabay Data Import Download flag.csv and flag.names to your working directory. Make sure to set your working directory appropriately! Let’s look at some information about this file. Open flag.names in RStudio by double clicking it in the files pane in bottom left. Read through this file. Who is...
3906 sym R (18489 sym/44 pcs) 1 img
Web_Scraping Project
Loading packages library('rvest') library(tidyverse) ## ── Attaching packages ─────────────────────────────────────── tidyverse 1.3.2 ── ## ✔ ggplot2 3.3.6 ✔ purrr 0.3.5 ## ✔ tibble 3.1.8 ✔ dplyr 1.0.10 ## ✔ tidyr 1.2.1 ✔ s...
1443 sym R (13332 sym/90 pcs) 3 img
Chicken Project 2
Data Import Download chickens.csv to your working directory. Make sure to set your working directory appropriately! This dataset was created by modifying the R built-in dataset chickwts. Import the chickens.csv data into R. Store it in a data.frame named ch_df and print out the entire ch_df to the screen. library(readr) ch_df <- read_csv("C...
3073 sym R (5623 sym/44 pcs) 4 img
GIS Project
# Set various values needed, including names of files and FIPS codes for New Hampshire and South Carolina nhdatafile <- "NHD2016.xlsx" nhdatafilecsv <- "NHD2016.csv" usshapefile <- "cb_2014_us_county_5m/cb_2014_us_county_5m.shp" #keep entire name nhfipscode <- "33" scdatafile <- "SCGOP2016.csv" scfipscode <- "45" Load the tmap, tmaptools,...
2148 sym R (30002 sym/87 pcs) 7 img
R-bloggers Post
Loading tidyverse library library(tidyverse) ## ── Attaching packages ─────────────────────────────────────── tidyverse 1.3.2 ── ## ✔ ggplot2 3.4.0 ✔ purrr 0.3.5 ## ✔ tibble 3.1.8 ✔ dplyr 1.0.10 ## ✔ tidyr 1.2.1 ✔ stringr 1....
853 sym R (7921 sym/39 pcs) 9 img
Project 3a
HR Employee Attrition In this analysis, we will delve into different categorical and quantitative variables and their connection to employee attrition. We will start by giving a general overview of the dataset, providing a summary statistic for 2-3 quantitative variables, frequency distribution and relative frequency distribution for a catego...
4219 sym R (5691 sym/39 pcs) 6 img
Project 2
Introduction Are people happy? What makes them happy? And how satisfied are they? These are some questions that we all ask ourselves.The World Happiness Report is a landmark survey of the state of global happiness. The first report was published in 2012, the second in 2013, the third in 2015, and the fourth in the 2016 Update. The World Happi...
7115 sym R (19550 sym/58 pcs) 3 img
Final Project
Introduction This data set includes tables on persons living with HIV/AIDS, newly diagnosed HIV cases, and all-cause deaths in HIV/AIDS cases by gender, age, race/ethnicity, and transmission category. A data frame with 6005 rows and 18 variables. It contains both quantitative and categorical values. The data set here records the reported case...
8692 sym R (21835 sym/56 pcs) 5 img