Interactive Data Table using Reactable

Setup

library(reactable)
library(tidyverse)

── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
✔ dplyr     1.1.2     ✔ readr     2.1.4
✔ forcats   1.0.0     ✔ stringr   1.5.0
✔ ggplot2   3.4.3     ✔ tibble    3.2.1
✔ lubridate 1.9.2     ✔ tidyr     1.3.0
✔ purrr     1.0.2     
── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
✖ dplyr::filter() masks stats::filter()
✖ dplyr::lag()    masks stats::lag()
ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errors

Read in the data

I am using the data from O2-BasicAnalysis because it has the correct columns already.

storms <- read_rds("data-processed/02-storm-data.rds")

Reactable Interactive Table

I wanted to create an interative data table that I could search and filter for records. To do this with reactable, I made the table “searchable” to add the top search bar. Then I made event type, location and county/zone filterable. I also made each damage column able to be arranges in desc or asc order with the defaultSortOrder. I did the same with the date column.

reactable(
    storms, 
    searchable = TRUE,
    columns = list(
    event_type = colDef(name = "Event Type", filterable = TRUE),
    location = colDef(name = "Location", filterable = TRUE),
    CZ_type = colDef(name = "County/Zone"),
    FIPS = colDef(name = "FIPS Code", filterable = TRUE),
    total_damages = colDef(name = "Total Damages", align = "center", defaultSortOrder = "desc"),
    damage_val_prop = colDef(align = "center", name = "Damages to Property", defaultSortOrder = "desc"),
    damage_val_crop = colDef(align = "center", name = "Damages to Crops", defaultSortOrder = "desc"),
    begin_date = colDef(name = "Start Date", defaultSortOrder = "asc")
    )
  )