Publications by Daniel Lee
Apply 2
Import Data youtube <- readr::read_csv('https://raw.githubusercontent.com/rfordatascience/tidytuesday/master/data/2021/2021-03-02/youtube.csv') ## Rows: 247 Columns: 25 ## ── Column specification ──────────────────────────────────────────────────...
247 sym R (34076 sym/27 pcs) 4 img 5 tbl
Code Along 2
Goal: To predict the rental prices in the SF rental market Click here for the data. Import Data rent <- read_csv('https://raw.githubusercontent.com/rfordatascience/tidytuesday/master/data/2022/2022-07-05/rent.csv') skimr::skim(rent) Data summary Name rent Number of rows 200796 Number of columns 17 _______________________ Column type frequen...
308 sym R (28395 sym/19 pcs) 4 img 3 tbl
code apply 2
knitr::opts_chunk$set(echo = TRUE) library(tidyverse) ## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ── ## ✔ dplyr 1.1.3 ✔ readr 2.1.4 ## ✔ forcats 1.0.0 ✔ stringr 1.5.0 ## ✔ ggplot2 3.4.3 ✔ tibble 3.2.1 ## ✔ lu...
414 sym R (19702 sym/51 pcs) 5 img 4 tbl
BUS1400 Week 3: Real World Applications 2
Analyze the data for your client with respect to timing depth duration of downturns in sale. Make a plot...
116 sym
BUS1400 Week 3: Real World Applications 2
Analyze the data for your client with respect to timing depth duration of downturns in sale. Make a plot...
116 sym
new apply 1
knitr::opts_chunk$set(echo = TRUE) library(tidyverse) ## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ── ## ✔ dplyr 1.1.3 ✔ readr 2.1.4 ## ✔ forcats 1.0.0 ✔ stringr 1.5.0 ## ✔ ggplot2 3.4.3 ✔ tibble 3.2.1 ## ✔ lu...
375 sym R (6461 sym/22 pcs) 5 img 4 tbl
Apply It To My Data 1
Import Data youtube <- readr::read_csv('https://raw.githubusercontent.com/rfordatascience/tidytuesday/master/data/2021/2021-03-02/youtube.csv') ## Rows: 247 Columns: 25 ## ── Column specification ──────────────────────────────────────────────────...
220 sym 4 img 5 tbl
code along2
knitr::opts_chunk$set(echo = TRUE) library(tidyverse) ## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ── ## ✔ dplyr 1.1.3 ✔ readr 2.1.4 ## ✔ forcats 1.0.0 ✔ stringr 1.5.0 ## ✔ ggplot2 3.4.3 ✔ tibble 3.2.1 ## ✔ lu...
358 sym R (34426 sym/50 pcs) 4 img 3 tbl
Code Along 1
Goal: To predict the rental prices in the SF rental market Click here for the data. Import Data rent <- read_csv('https://raw.githubusercontent.com/rfordatascience/tidytuesday/master/data/2022/2022-07-05/rent.csv') skimr::skim(rent) Data summary Name rent Number of rows 200796 Number of columns 17 _______________________ Column type frequen...
270 sym 4 img 3 tbl