Hi,
I am trying to create a barchart about different types of funding per country. So my x-axis should represent the countries, the y axis is the amout of funding in Euros and the "fill" is the three different types of funding. my data set is set up in 4 colums the first one is are the country codes and the 2nd to 4th collums are the amounts of funding. So far we have not found a way to showcase the three types of funding per country next to eachother. We want a dodge bar graph. So the problem is that we want to represent three different variables per country in the "fill" element.
we tried this:
ggplot (pf_sorted, aes(x= GEO.SRC_FUND, y= amount, fill = factor(Public.funding,National.central.government,European.Union))) + geom_bar (stat= "identity", position = "dodge" )
Error in hue_pal(3) : could not find function "hue_pal"
Hi!
To help us help you, could you please prepare a reproducible example (reprex) illustrating your issue? Please have a look at this guide, to see how to create one:
Hi, This is our data. I hope this is what you needed
data
GEO.SRC_FUND Public.funding National.central.government European.Union
1 BE 2375 1486 296
2 BG 1022 697 935
3 CZ 2981 1620 1928
4 DE 14823 10358 3702
5 EE 308 235 120
6 EL 1271 842 267
7 ES 4570 2952 1251
8 FR 14622 13487 1899
9 HR 538 330 173
10 IT 17311 10043 2102
11 CY 129 97 44
12 LV 263 44 242
13 LT 457 200 268
14 LU 172 162 31
15 HU 904 478 615
16 MT 51 41 15
17 NL 5326 5027 619
18 PL 2247 809 1533
19 PT 3028 2027 1244
20 RO 597 277 373
21 SI 361 283 174
22 SK 306 107 244
23 FI 1643 1363 292
24 SE 1223 857 457
ggplot (pf_sorted, aes(x= GEO.SRC_FUND, y= amount, fill = factor(Public.funding,National.central.government,European.Union))) + geom_bar (stat= "identity", position = "dodge")
Error: Must request at least one colour from a hue palette.
Sorry please try again.
Use dput (or datapasta)
data
GEO.SRC_FUND Public.funding National.central.government European.Union
1 BE 2375 1486 296
2 BG 1022 697 935
3 CZ 2981 1620 1928
4 DE 14823 10358 3702
5 EE 308 235 120
6 EL 1271 842 267
7 ES 4570 2952 1251
8 FR 14622 13487 1899
9 HR 538 330 173
10 IT 17311 10043 2102
11 CY 129 97 44
12 LV 263 44 242
13 LT 457 200 268
14 LU 172 162 31
15 HU 904 478 615
16 MT 51 41 15
17 NL 5326 5027 619
18 PL 2247 809 1533
19 PT 3028 2027 1244
20 RO 597 277 373
21 SI 361 283 174
22 SK 306 107 244
23 FI 1643 1363 292
24 SE 1223 857 457
ggplot (pf_sorted, aes(x= GEO.SRC_FUND, y= amount, fill = factor(Public.funding,National.central.government,European.Union))) + geom_bar (stat= "identity", position = "dodge")
Error: Must request at least one colour from a hue palette.
Ok... ill directly quote the relevant portion of the FAQ
You can also use
dputprovided inbase, which is as simple as this:
dput(head(iris, 5)[c("Sepal.Length", "Sepal.Width")])
I am so sorry but I don't really understand what i have to post.
Your data is called pf_sorted
So post the result of
dput(pf_sorted)pf_sorted <- structure(list(GEO.SRC_FUND = c("MT", "CY", "LU", "LV", "SK",
"EE", "SI", "LT", "HR", "RO", "HU", "BG", "SE", "EL", "FI", "PL",
"BE", "CZ", "PT", "ES", "NL", "FR", "DE", "IT"), Public.funding = c(51,
129, 172, 263, 306, 308, 361, 457, 538, 597, 904, 1022, 1223,
1271, 1643, 2247, 2375, 2981, 3028, 4570, 5326, 14622, 14823,
17311), National.central.government = c(41, 97, 162, 44, 107,
235, 283, 200, 330, 277, 478, 697, 857, 842, 1363, 809, 1486,
1620, 2027, 2952, 5027, 13487, 10358, 10043), European.Union = c(15,
44, 31, 242, 244, 120, 174, 268, 173, 373, 615, 935, 457, 267,
292, 1533, 296, 1928, 1244, 1251, 619, 1899, 3702, 2102)), row.names = c(16L,
11L, 14L, 12L, 22L, 5L, 21L, 13L, 9L, 20L, 15L, 2L, 24L, 6L,
23L, 18L, 1L, 3L, 19L, 7L, 17L, 8L, 4L, 10L), class = "data.frame")
library(tidyverse)
(pf_sorted_long <- pivot_longer(pf_sorted, cols = -GEO.SRC_FUND,
values_to = "amount"))
ggplot(pf_sorted_long, aes(x = GEO.SRC_FUND,
y = amount,
fill = name)) +
geom_bar(stat = "identity", position = "dodge")
thank you a lot this was great help
As always, I thought I might chime in with a {base} R solution,
First, here is some nice reproducible data for anyone interested in replicating this,
df <- data.frame(
stringsAsFactors = FALSE,
GEO.SRC_FUND = c("BE",
"BG","CZ","DE","EE","EL","ES","FR","HR",
"IT","CY","LV","LT","LU","HU","MT","NL",
"PL","PT","RO","SI","SK","FI","SE"),
Public.funding = c(2375L,
1022L,2981L,14823L,308L,1271L,4570L,14622L,
538L,17311L,129L,263L,457L,172L,904L,
51L,5326L,2247L,3028L,597L,361L,306L,
1643L,1223L),
National.central.government = c(1486L,
697L,1620L,10358L,235L,842L,2952L,13487L,
330L,10043L,97L,44L,200L,162L,478L,41L,
5027L,809L,2027L,277L,283L,107L,1363L,
857L),
European.Union = c(296L,
935L,1928L,3702L,120L,267L,1251L,1899L,
173L,2102L,44L,242L,268L,31L,615L,15L,
619L,1533L,1244L,373L,174L,244L,292L,457L)
)
And now the {base} R code,
barplot(as.matrix(df[-1]) ~ df$GEO.SRC_FUND,
main = "Some appropriate title",
xlab = "Geo Source Fund",
ylab = "Dollars",
col = 1:3,
beside = TRUE)
legend("topright", legend = names(df[-1]),
fill = 1:3,
cex = 0.75)
Created on 2020-09-16 by the reprex package (v0.3.0)
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