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weight | feed | |
---|---|---|
179 | horsebean | |
160 | horsebean | |
136 | horsebean | |
227 | horsebean | |
217 | horsebean | |
168 | horsebean | |
108 | horsebean | |
124 | horsebean | |
143 | horsebean |
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"X","count.x","abv","ibu","id","beer","style","brewery_id","ounces","style2","count.y","brewery","city","state","label" | |
1,1,0.05,NA,1436,"Pub Beer","American Pale Lager",408,12,NA,409,"10 Barrel Brewing Company","Bend","OR","Pub Beer (10 Barrel Brewing Company)" | |
2,2,0.066,NA,2265,"Devil's Cup","American Pale Ale (APA)",177,12,"American Pale Ale (APA)",178,"18th Street Brewery","Gary","IN","Devil's Cup (18th Street Brewery)" | |
3,3,0.071,NA,2264,"Rise of the Phoenix","American IPA",177,12,"American IPA",178,"18th Street Brewery","Gary","IN","Rise of the Phoenix (18th Street Brewery)" | |
4,4,0.09,NA,2263,"Sinister","American Double / Imperial IPA",177,12,"American Double / Imperial IPA",178,"18th Street Brewery","Gary","IN","Sinister (18th Street Brewery)" | |
5,5,0.075,NA,2262,"Sex and Candy","American IPA",177,12,"American IPA",178,"18th Street Brewery","Gary","IN","Sex and Candy (18th Street Brewery)" | |
6,6,0.077,NA,2261,"Black Exodus","Oatmeal Stout",177,12,NA,178,"18th Street Brewery","Gary","IN","Black Exodus (18th S |
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Species | Country | Value | |
---|---|---|---|
Mammals | Australia | 41 | |
Mammals | Austria | 6 | |
Mammals | Belgium | 2 | |
Mammals | Canada | 11 | |
Mammals | Czech Republic | 1 | |
Mammals | Denmark | 2 | |
Mammals | Finland | 4 | |
Mammals | France | 4 | |
Mammals | Germany | 10 |
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library(randomNames) | |
library(networkD3) | |
library(igraph) | |
set.seed(3) | |
nl = 100 | |
df = data.frame(source = randomNames(1000,which.names='both', name.order = 'first.last', name.sep=' '), target = '') | |
df = df[rep(seq_len(nrow(df)), sample(1:10,nrow(df), replace=T)),] | |
df = df[sample(nrow(df),nl),] | |
df$target = sample(df$source,nrow(df), replace = T) |
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### Example Viridis Plot | |
library(ggplot2) | |
library(viridis) | |
library(season) | |
library(gridExtra) | |
pa<-ggplot(schz, aes(year, month, fill = SczBroad)) + | |
geom_tile(colour="gray20", size=1.5, stat="identity") + | |
scale_fill_viridis(option="A") + |
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type | sat_fat | polysat_fat | monosat_fat | protein | carb | chol | fiber | kcal | |
---|---|---|---|---|---|---|---|---|---|
blue | 18.669 | 0.8 | 7.778 | 21.4 | 2.34 | 75 | 0 | 353 | |
brick | 18.764 | 0.784 | 8.598 | 23.24 | 2.79 | 94 | 0 | 371 | |
brie | 17.41 | 0.826 | 8.013 | 20.75 | 0.45 | 100 | 0 | 334 | |
camembert | 15.259 | 0.724 | 7.023 | 19.8 | 0.46 | 72 | 0 | 300 | |
caraway | 18.584 | 0.83 | 8.275 | 25.18 | 3.06 | 93 | 0 | 376 | |
cheddar | 21.092 | 0.942 | 9.391 | 24.9 | 1.28 | 105 | 0 | 403 | |
cheshire | 19.475 | 0.87 | 8.671 | 23.37 | 4.78 | 103 | 0 | 387 | |
colby | 20.218 | 0.953 | 9.28 | 23.76 | 2.57 | 95 | 0 | 394 | |
cottage,crmd,lrg or sml curd | 1.718 | 0.123 | 0.778 | 11.12 | 3.38 | 17 | 0 | 98 |
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Group | id1 | id2 | value | |
---|---|---|---|---|
1 | A | A | 0 | |
1 | A | B | 15 | |
1 | A | C | 11 | |
1 | A | D | 8 | |
1 | B | A | 3 | |
1 | B | B | 0 | |
1 | B | C | 4 | |
1 | B | D | 2 | |
1 | C | A | 0 |
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"animal_id","monthyear","name","color1","color2","sex","breed" | |
"A685067",2014-08-14 18:45:00,"Lucy","blue","white","Female","domestic shorthair" | |
"A678580",2014-06-29 17:45:00,"Frida","white","black","Female","domestic shorthair" | |
"A675405",2014-03-28 14:55:00,"Stella Luna","black","white","Female","domestic mediumhair" | |
"A684460",2014-08-13 15:04:00,"Elsa","brown",NA,"Female","domestic shorthair" | |
"A686497",2014-08-31 15:45:00,"Chester","black",NA,"Male","domestic shorthair" | |
"A687965",2014-10-31 18:29:00,"Oliver","orange",NA,"Male","domestic shorthair" | |
"A668547",2013-12-16 13:59:00,"Preston","black","white","Male","domestic mediumhair" | |
"A682393",2014-07-03 12:12:00,"Bumble","seal",NA,"Female","siamese" | |
"A617061",2014-09-04 09:57:00,"Pumpkin","orange",NA,"Male","domestic mediumhair" |
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Date | Season | home | visitor | FT | hgoal | vgoal | division | tier | totgoal | goaldif | result | |
---|---|---|---|---|---|---|---|---|---|---|---|---|
2020-09-12 | 2020 | Crystal Palace | Southampton | 1-0 | 1 | 0 | 1 | 1 | 1 | 1 | H | |
2020-09-12 | 2020 | Fulham | Arsenal | 0-3 | 0 | 3 | 1 | 1 | 3 | -3 | A | |
2020-09-12 | 2020 | Liverpool | Leeds United | 4-3 | 4 | 3 | 1 | 1 | 7 | 1 | H | |
2020-09-12 | 2020 | West Ham United | Newcastle United | 0-2 | 0 | 2 | 1 | 1 | 2 | -2 | A | |
2020-09-13 | 2020 | Tottenham Hotspur | Everton | 0-1 | 0 | 1 | 1 | 1 | 1 | -1 | A | |
2020-09-13 | 2020 | West Bromwich Albion | Leicester City | 0-3 | 0 | 3 | 1 | 1 | 3 | -3 | A | |
2020-09-14 | 2020 | Brighton & Hove Albion | Chelsea | 1-3 | 1 | 3 | 1 | 1 | 4 | -2 | A | |
2020-09-14 | 2020 | Sheffield United | Wolverhampton Wanderers | 0-2 | 0 | 2 | 1 | 1 | 2 | -2 | A | |
2020-09-19 | 2020 | Arsenal | West Ham United | 2-1 | 2 | 1 | 1 | 1 | 3 | 1 | H |
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library(serial) | |
rm(list = ls()) # clear environment | |
graphics.off() # close all graphic windows | |
### establish a serial connection | |
con <- serialConnection(name = "get_temps", |
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