Publications by Michael O’Keefe

Assignment 9

21.11.2024

library(readr) hr <- read_csv('https://raw.githubusercontent.com/aiplanethub/Datasets/refs/heads/master/HR_comma_sep.csv') ## Rows: 14999 Columns: 10 ## ── Column specification ────────────────────────────────────────────────────────...

3672 sym R (4307 sym/24 pcs)

Assignment 8

13.11.2024

library(readr) hr <- read_csv('https://raw.githubusercontent.com/aiplanethub/Datasets/refs/heads/master/HR_comma_sep.csv') ## Rows: 14999 Columns: 10 ## ── Column specification ────────────────────────────────────────────────────────...

3254 sym R (4627 sym/21 pcs)

Assignment 7

05.11.2024

library(readr) hr <- read_csv('https://raw.githubusercontent.com/aiplanethub/Datasets/refs/heads/master/HR_comma_sep.csv') ## Rows: 14999 Columns: 10 ## ── Column specification ────────────────────────────────────────────────────────...

4197 sym R (3638 sym/18 pcs) 4 img

Assignment 5

18.10.2024

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 1.9.3 �...

565 sym R (2161 sym/8 pcs)

Assignment 4

04.10.2024

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", ...

3384 sym R (4641 sym/37 pcs)

Assignment 3

27.09.2024

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(readr) # Load the movies dataset movies <- read_csv("https://gist.githubusercontent.com/tiangechen/b68782ef...

1165 sym R (5476 sym/19 pcs)

Assignment 2

13.09.2024

Question 1 library(readr) HR_comma_sep <- read_csv("HR_comma_sep.csv") ## Rows: 14999 Columns: 10 ## ── Column specification ──────────────────────────────────────────────────────── ## Delimiter: "," ## chr (2): Department, salary ## ...

236 sym R (465 sym/2 pcs)