The goal of nycsquirrels18 is to make it easy for R users to use data from The Squirrel Census. Data come from here.
You can install the the development version from GitHub with:
# install.packages("devtools")
devtools::install_github("mine-cetinkaya-rundel/nycsquirrels18")Load and skim the data:
library(nycsquirrels18)
library(skimr)
library(knitr)
skim(squirrels)
#> Skim summary statistics
#> n obs: 3023
#> n variables: 35
#>
#> ── Variable type:character ───────────────────────────────────────────────────────────────
#> variable missing complete n min max empty n_unique
#> above_ground_sighter_measurement 114 2909 3023 1 5 0 41
#> age 121 2902 3023 1 8 0 3
#> color_notes 2841 182 3023 3 153 0 135
#> combination_of_primary_and_highlight_color 0 3023 3023 1 27 0 22
#> hectare 0 3023 3023 3 3 0 339
#> highlight_fur_color 1086 1937 3023 4 22 0 10
#> location 64 2959 3023 12 12 0 2
#> other_activities 2586 437 3023 4 132 0 307
#> other_interactions 2783 240 3023 2 106 0 197
#> primary_fur_color 55 2968 3023 4 8 0 3
#> shift 0 3023 3023 2 2 0 2
#> specific_location 2547 476 3023 4 102 0 304
#> unique_squirrel_id 0 3023 3023 13 14 0 3018
#>
#> ── Variable type:Date ────────────────────────────────────────────────────────────────────
#> variable missing complete n min max median n_unique
#> date 0 3023 3023 2018-10-06 2018-10-20 2018-10-12 11
#>
#> ── Variable type:logical ─────────────────────────────────────────────────────────────────
#> variable missing complete n mean count
#> approaches 0 3023 3023 0.059 FAL: 2845, TRU: 178, NA: 0
#> chasing 0 3023 3023 0.092 FAL: 2744, TRU: 279, NA: 0
#> climbing 0 3023 3023 0.22 FAL: 2365, TRU: 658, NA: 0
#> eating 0 3023 3023 0.25 FAL: 2263, TRU: 760, NA: 0
#> foraging 0 3023 3023 0.47 FAL: 1588, TRU: 1435, NA: 0
#> indifferent 0 3023 3023 0.48 FAL: 1569, TRU: 1454, NA: 0
#> kuks 0 3023 3023 0.034 FAL: 2921, TRU: 102, NA: 0
#> moans 0 3023 3023 0.00099 FAL: 3020, TRU: 3, NA: 0
#> quaas 0 3023 3023 0.017 FAL: 2973, TRU: 50, NA: 0
#> running 0 3023 3023 0.24 FAL: 2293, TRU: 730, NA: 0
#> runs_from 0 3023 3023 0.22 FAL: 2345, TRU: 678, NA: 0
#> tail_flags 0 3023 3023 0.051 FAL: 2868, TRU: 155, NA: 0
#> tail_twitches 0 3023 3023 0.14 FAL: 2589, TRU: 434, NA: 0
#>
#> ── Variable type:numeric ─────────────────────────────────────────────────────────────────
#> variable missing complete n mean sd p0 p25 p50 p75 p100 hist
#> borough_boundaries 0 3023 3023 4 0 4 4 4 4 4 ▁▁▁▇▁▁▁▁
#> city_council_districts 0 3023 3023 19.07 1.35 19 19 19 19 51 ▇▁▁▁▁▁▁▁
#> community_districts 0 3023 3023 19 0.23 11 19 19 19 23 ▁▁▁▁▁▇▁▁
#> hectare_squirrel_number 0 3023 3023 4.12 3.1 1 2 3 6 23 ▇▅▂▁▁▁▁▁
#> lat 0 3023 3023 40.78 0.01 40.76 40.77 40.78 40.79 40.8 ▆▇▇▅▂▅▆▅
#> long 0 3023 3023 -73.97 0.0077 -73.98 -73.97 -73.97 -73.96 -73.95 ▃▆▇▆▅▆▅▂
#> police_precincts 0 3023 3023 13 0.22 10 13 13 13 18 ▁▁▇▁▁▁▁▁
#> zip_codes 3014 9 3023 11828.22 995.98 10090 12081 12420 12423 12423 ▃▁▁▁▁▁▃▇