Publications by Spencer Murrin
Code_Along_8
Goal is to predict attrition, employees who are likely to leave the company. Import Data library(tidyverse) ## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ── ## ✔ dplyr 1.1.4 ✔ readr 2.1.4 ## ✔ forcats 1.0.0 ✔ stringr 1.5.0 ## ✔ ...
837 sym R (23199 sym/40 pcs) 6 img 3 tbl
Code__Along__7
Goal is to predict attrition, employees who are likely to leave the company. Import Data library(tidyverse) ## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ── ## ✔ dplyr 1.1.4 ✔ readr 2.1.4 ## ✔ forcats 1.0.0 ✔ stringr 1.5.0 ## ✔ ...
471 sym R (22556 sym/40 pcs) 6 img 3 tbl
Apply__6
Import Data members <- readr::read_csv('https://raw.githubusercontent.com/rfordatascience/tidytuesday/master/data/2020/2020-09-22/members.csv') ## Rows: 76519 Columns: 21 ## ── Column specification ─────────────────────────────────────────────────�...
198 sym R (10734 sym/24 pcs) 1 img 4 tbl
Code_Along___5
Goal is to predict attrition, employees who are likely to leave the company. Import Data library(tidyverse) ## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ── ## ✔ dplyr 1.1.4 ✔ readr 2.1.4 ## ✔ forcats 1.0.0 ✔ stringr 1.5.0 ## ✔ ...
240 sym R (13112 sym/18 pcs) 3 img 3 tbl
Code_Along_6
Goal is to predict attrition, employees who are likely to leave the company. Import Data library(tidyverse) ## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ── ## ✔ dplyr 1.1.4 ✔ readr 2.1.4 ## ✔ forcats 1.0.0 ✔ stringr 1.5.0 ## ✔ ...
338 sym R (20678 sym/30 pcs) 3 img 3 tbl
Apply__5
Import Data members <- readr::read_csv('https://raw.githubusercontent.com/rfordatascience/tidytuesday/master/data/2020/2020-09-22/members.csv') ## Rows: 76519 Columns: 21 ## ── Column specification ─────────────────────────────────────────────────�...
426 sym 1 img 4 tbl
Code_Along_5
Data: library(tidyverse) ## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ── ## ✔ dplyr 1.1.4 ✔ readr 2.1.4 ## ✔ forcats 1.0.0 ✔ stringr 1.5.0 ## ✔ ggplot2 3.4.4 ✔ tibble 3.2.1 ## ✔ lubridate 1.9.2 ✔ tidyr 1.3...
1234 sym R (6970 sym/31 pcs) 8 img
Apply__4
Import Data chocolate <- readr::read_csv('https://raw.githubusercontent.com/rfordatascience/tidytuesday/master/data/2022/2022-01-18/chocolate.csv') ## Rows: 2530 Columns: 10 ## ── Column specification ────────────────────────────────────────────────�...
138 sym R (24211 sym/25 pcs) 2 img 3 tbl
Code__Along__4
library(tinytex) library(foreach) library(iterators) library(parallel) library(tidytext) tidy_chocolate <- chocolate %>% unnest_tokens(word, most_memorable_characteristics) tidy_chocolate %>% count(word, sort = TRUE) ## # A tibble: 547 × 2 ## word n ## <chr> <int> ## 1 cocoa 419 ## 2 sweet 318 ## 3 nutty 278 #...
33 sym R (6908 sym/27 pcs) 3 img
Apply__3
Import Data chocolate <- readr::read_csv('https://raw.githubusercontent.com/rfordatascience/tidytuesday/master/data/2022/2022-01-18/chocolate.csv') ## Rows: 2530 Columns: 10 ## ── Column specification ────────────────────────────────────────────────�...
136 sym R (23307 sym/23 pcs) 2 img 3 tbl