Publications by Kenton Quaglieri
Apply 5
Import data Apply the following dplyr verbs to your data Filter rows Arrange rows Select columns Add columns Summarize by groups...
153 sym
Code along 5
Import data flights ## # A tibble: 336,776 × 19 ## year month day dep_time sched_dep_time dep_delay arr_time sched_arr_time ## <int> <int> <int> <int> <int> <dbl> <int> <int> ## 1 2013 1 1 517 515 2 830 819 ## 2 2013 1 1 533 529 ...
425 sym Python (19037 sym/49 pcs) 1 img
Apply 4
Import data State one question My question is does gender and age corrolate in who gets injured on amusment park rides Plot data Interpret Looking at the data, In the male subsection saw the median age of injured being a little above 12 at 12-15, while 50 percent of the data lies between a under 12 at approximately 10-11 up to around 38 wit...
659 sym 1 img
Code along 4
github_pkgs <- c(“rkabacoff/ggpie”, “hrbrmstr/waffle”, “ricardo-bion/ggradar”, “ramnathv/rCharts”, “Mikata-Project/ggthemr”) remotes::install_github(github_pkgs, dependencies = TRUE) Welcome Ch1 Introduction The data science project workflow Prerequisites R RStudio r packages Install the tidyverse package Running R code...
1567 sym R (1936 sym/12 pcs) 9 img
MyData
Import data # excel file data <- read_excel("data/MyData.xlsx") data ## # A tibble: 8,351 × 23 ## acc_id acc_date acc_state acc_city fix_port source bus_type ## <dbl> <dttm> <chr> <chr> <chr> <chr> <chr> ## 1 1005813 2010-06-12 00:00:00 OH Cleveland F Ohio … Spor...
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Document
do your work here 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 3.4.4 ✔ tibble 3.2.1 ## ✔ lubridate 1.9.3 �...
25 sym R (1649 sym/4 pcs)