Publications by Vanessa Rodolico

Assignment 9

22.11.2024

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 library(dplyr) ##...

1133 sym R (3556 sym/25 pcs) 4 img

Assignment 7

30.10.2024

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 ──────────────────────────────────────────────────�...

1361 sym R (3294 sym/18 pcs) 4 img

Assignment 6

24.10.2024

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' ## The follow...

2448 sym R (2330 sym/18 pcs)

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 �...

525 sym R (2716 sym/10 pcs)

Assignment 5

17.10.2024

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 �...

525 sym R (3447 sym/10 pcs)

Assignment 4

08.10.2024

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", ...

1979 sym R (7769 sym/33 pcs)