Visualizing Big Data with Trelliscope in R
Ryan Hafen
Author, TrelliscopeJS
pokemon
# A tibble: 801 x 30
pokemon id species_id height weight base_experience type_1 type_2 attack
<chr> <int> <chr> <int> <int> <int> <chr> <chr> <int>
1 bulbasa… 1 1 7 69 64 grass poison 49
2 ivysaur 2 2 10 130 142 grass poison 62
3 venusaur 3 3 20 1000 236 grass poison 82
4 venusau… 4 3 24 1555 281 grass poison 100
5 charman… 5 4 6 85 62 fire NA 52
# ... with 796 more rows, and 21 more variables: defense <int>, hp <int>,
# special_attack <int>, special_defense <int>, speed <int>, ability_1 <chr>,
# ability_2 <chr>, ability_hidden <chr>, color_1 <chr>, color_2 <chr>,
# color_f <chr>, egg_group_1 <chr>, egg_group_2 <chr>, url_image <chr>,
# generation_id <chr>, evolves_from_species_id <chr>,
# evolution_chain_id <chr>, shape_id <chr>, shape <chr>, pokebase <chr>,
# pokedex <chr>
select(pokemon, url_image)
# A tibble: 801 x 1
url_image
<chr>
1 http://assets.pokemon.com/assets/cms2/img/pokedex/full/001.png
2 http://assets.pokemon.com/assets/cms2/img/pokedex/full/002.png
3 http://assets.pokemon.com/assets/cms2/img/pokedex/full/003.png
4 http://assets.pokemon.com/assets/cms2/img/pokedex/full/003_f2.png
5 http://assets.pokemon.com/assets/cms2/img/pokedex/full/004.png
6 http://assets.pokemon.com/assets/cms2/img/pokedex/full/005.png
7 http://assets.pokemon.com/assets/cms2/img/pokedex/full/006.png
8 http://assets.pokemon.com/assets/cms2/img/pokedex/full/006_f2.png
9 http://assets.pokemon.com/assets/cms2/img/pokedex/full/006_f3.png
10 http://assets.pokemon.com/assets/cms2/img/pokedex/full/007.png
# ... with 791 more rows
pokemon <- mutate(pokemon,
panel = img_panel(url_image))
trelliscope(pokemon, name = "pokemon", nrow = 3, ncol = 6)
path <- file.path(tempdir(), "pokemon_local")
dir.create(path)
for (url in pokemon$url_image)
download.file(url, destfile = file.path(path, basename(url)))
pokemon$image <- basename(pokemon$url_image)
pokemon <- mutate(pokemon,
panel = img_panel_local(image))
trelliscope(pokemon, name = "pokemon", nrow = 3, ncol = 6,
path = path)
Visualizing Big Data with Trelliscope in R