Publications by Madeline Donohue
Madeline and Dan Assignment 9
R Markdown library(readr) library(plotly) ## Loading required package: ggplot2 ## ## Attaching package: 'plotly' ## The following object is masked from 'package:ggplot2': ## ## last_plot ## The following object is masked from 'package:stats': ## ## filter ## The following object is masked from 'package:graphics': ## ## layout librar...
2228 sym R (4254 sym/28 pcs)
Assignment 8 - Madeline and Dan
R Markdown library(readr) library(dplyr) ## ## Attaching package: 'dplyr' ## The following objects are masked from 'package:stats': ## ## filter, lag ## The following objects are masked from 'package:base': ## ## intersect, setdiff, setequal, union library(plotly) ## Loading required package: ggplot2 ## ## Attaching package: 'plotly' ##...
1325 sym R (4114 sym/25 pcs)
Assignment 7 - Madeline and Dan
R Markdown library(readr) library(ggplot2) hr <- read_csv('https://raw.githubusercontent.com/aiplanethub/Datasets/refs/heads/master/HR_comma_sep.csv') ## Rows: 14999 Columns: 10 ## ── Column specification ──────────────────────────────────────────────�...
1862 sym R (3316 sym/19 pcs) 4 img
Assignment 6 - Madeline and Dan
R Markdown 1. Histogram: Distribution of Employee Satisfaction Create a histogram of the satisfaction_level variable. The title should reflect a key takeaway from the distribution. Most employees are satisfied (satisfaction > .5) About 6% of employees are extremely unsatisfied: 900/15000. (satisfaction <= .11) 2. Box Plot: Last Evaluation Scores...
1625 sym
Assignment 5 - Madeline and Dan
R Markdown library(nycflights13) library(tidyverse) ## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ── ## ✔ dplyr 1.1.4 ✔ readr 2.1.5 ## ✔ forcats 1.0.0 ✔ stringr 1.5.1 ## ✔ ggplot2 3.5.1 ✔ tibble 3.2.1 ## ✔ lubridate ...
493 sym R (2033 sym/8 pcs)
Assignment 4 - Madeline and Dan
library(dplyr) ## ## Attaching package: 'dplyr' ## The following objects are masked from 'package:stats': ## ## filter, lag ## The following objects are masked from 'package:base': ## ## intersect, setdiff, setequal, union # Dataset 1: Customers customers <- tibble( customer_id = c(1, 2, 3, 4, 5), name = c("Alice", "Bob", "Charlie", ...
3821 sym R (4751 sym/37 pcs)
Assignment 3 - Madeline and Dan
1. rename(): (4 points) Rename the “Film” column to “movie_title” and “Year” to “release_year”. q1 <- movies %>% rename(movie_title = Film, release_year = Year) head(q1) ## # A tibble: 6 × 8 ## movie_title Genre `Lead Studio` `Audience score %` Profitability ## <chr> <chr> <chr> ...
1474 sym Python (5558 sym/13 pcs)
Data 3210 - Assignment 2 Draft
Question 1 library(readr) HR_comma_sep <- read_csv("~/Documents/DATA 3210 02/HR_comma_sep.csv") ## Rows: 14999 Columns: 10 ## ── Column specification ──────────────────────────────────────────────────────── ## Delimiter: "," ## chr (...
604 sym R (491 sym/2 pcs)