MokeEire

library(tidyverse)
library(lubridate)
library(ggdist)
library(distributional)

tibble::tribble(~departure_time, ~duration_min, ~duration_max,
                "9:00am", lubridate::dminutes(65), dminutes(100),
                #"9:15am", lubridate::dminutes(70), dminutes(100),
                "9:30am", lubridate::dminutes(70), dminutes(110),
                #"9:45am", lubridate::dminutes(70), dminutes(110),

MokeEire

tibble::tribble(~departure_time, ~duration_min, ~duration_max,
                "9:00am", lubridate::dminutes(65), dminutes(100),
                #"9:15am", lubridate::dminutes(70), dminutes(100),
                "9:30am", lubridate::dminutes(70), dminutes(110),
                #"9:45am", lubridate::dminutes(70), dminutes(110),
                "10:00am", lubridate::dminutes(75), dminutes(130),
                #"10:15am", lubridate::dminutes(75), dminutes(130),
                "10:30am", lubridate::dminutes(80), dminutes(130),
                #"10:45am", lubridate::dminutes(80), dminutes(140),
                "11:00am", lubridate::dminutes(80), dminutes(140),

MokeEire

library(tidyverse)
library(lubridate)
# The function below was written primarily with the aim of producing a codebook which can be exported to Excel.
# If you are trying to get a quick understanding of your data, str(), glimpse(), or summary() will all likely better serve you

# If you use this and make any improvements, please let me know.
# There's lots of room for this to be improved. 
#   - Check for presence of each data type, and perform processing accordingly
#   - Check if the remaining df is empty after summarising each data type
# I wrote it without any safeguards because I know what I use it for but it could definitely use some more careful argument checking

MokeEire

library(tidyverse)
library(gt)

# Read in data
# Using LA Budget data: https://controllerdata.lacity.org/Budget/City-Budget-and-Expenditures/uyzw-yi8n
la_budget_raw = read_csv("https://controllerdata.lacity.org/api/views/uyzw-yi8n/rows.csv?accessType=DOWNLOAD")

## OPTIONAL ##
# cleaner column names
library(janitor)