Publications by Derek Howanski
Apply 4
Import data # excel file data <- readr::read_csv('https://raw.githubusercontent.com/rfordatascience/tidytuesday/master/data/2022/2022-03-29/sports.csv') data ## # A tibble: 132,327 × 28 ## year unitid instit…¹ city_…² state…³ zip_t…⁴ class…⁵ class…⁶ class…⁷ ef_ma…⁸ ## <dbl> <dbl> <chr> <chr> <chr> <c...
274 sym 3 img
Code Along 5 Part 1
Coding basics R as a calculator 1000 / 10 ## [1] 100 x <- 1000 / 10 # x assignment symbol What’s in a name? Calling functions Use of TAB seq(from = 1, to = 10, by = 1) ## [1] 1 2 3 4 5 6 7 8 9 10 continuation character, + seq(from = 1, to = 10) ## [1] 1 2 3 4 5 6 7 8 9 10 Printing to screen y <- seq(from = 1, to = 10) ...
171 sym Python (231 sym/9 pcs)
Code Along 5 Part 2
Import data flights ## # A tibble: 336,776 × 19 ## year month day dep_time sched_de…¹ dep_d…² arr_t…³ sched…⁴ arr_d…⁵ carrier ## <int> <int> <int> <int> <int> <dbl> <int> <int> <dbl> <chr> ## 1 2013 1 1 517 515 2 830 819 11 UA ## 2 2013 1 1 ...
525 sym Python (21270 sym/51 pcs) 1 img
Code Along 4
Welcome Ch1 Introduction The data science project workflow Prerequisites R RStudio r packages Install the tidyverse package install.packages("tidyverse") library(tidyverse) Running R code 1+2 ## [1] 3 Getting help Google Stackoverflow Ch2 Introduction to Data Exploration Ch3 Data Visualization Set up library(tidyverse) ## ── Attachi...
1427 sym R (5217 sym/41 pcs) 25 img
Apply to data 3
Import data # csv file data <- read.csv("data/Salaries.csv") data ## rank discipline yrs.since.phd yrs.service sex salary ## 1 Prof B 19 18 Male 139750 ## 2 Prof B 20 16 Male 173200 ## 3 AsstProf B 4 3 Male 79750 ## 4 ...
38 sym 1 img
Test publishing
library(tidyverse) ## ── Attaching packages ─────────────────────────────────────── tidyverse 1.3.2 ── ## ✔ ggplot2 3.4.1 ✔ purrr 1.0.1 ## ✔ tibble 3.1.8 ✔ dplyr 1.0.10 ## ✔ tidyr 1.2.1 ✔ stringr 1.4.1 ## ✔ readr 2.1.3 ...
7 sym R (1512 sym/4 pcs)