Reputation: 95
My data is
PC_Name Electors_2009 Electors_2014 Electors_2019 Voters_2009 Voters_2014
1 Amritsar 1241099 1477262 1507875 814503 1007196
2 Anandpur Sahib 1338596 1564721 1698876 904606 1086563
3 Bhatinda 1336790 1525289 1621671 1048144 1176767
4 Faridkot 1288090 1455075 1541971 930521 1032107
5 Fatehgarh Sahib 1207556 1396957 1502861 838150 1030954
6 Ferozpur 1342488 1522111 1618419 956952 1105412
7 Gurdaspur 1318967 1500337 1595284 933323 1042699
8 Hoshiarpur 1299234 1485286 1597500 843123 961297
9 Jalandhar 1339842 1551497 1617018 899607 1040762
10 Khadoor Sahib 1340145 1563256 1638842 946690 1040518
11 Ludhiana 1309308 1561201 1683325 846277 1100457
12 Patiala 1344864 1580273 1739600 935959 1120933
13 Sangrur 1251401 1424743 1529432 931247 1099467
Voters_2019
1 859513
2 1081727
3 1200810
4 974947
5 985948
6 1172033
7 1103887
8 990791
9 1018998
10 1046032
11 1046955
12 1177903
13 1105888
I have written the code
data <- read.csv(file = "Punjab data 3.csv")
data
library(ggplot2)
library(reshape2)
long <- reshape2::melt(data, id.vars = "PC_Name")
ggplot(long, aes(PC_Name, value, fill = variable)) + geom_freqpoly(stat="identity",binwidth = 500)
I am trying to plot something like this I tried line chart and geom line but I am not sure where problem resides. I am trying geom polygon now but its not plotting.I want to compare voters or electors not both of them according to year 2009 2014 2019.Sorry for bad english.
I want to plot PC_Name on x-axis and compare Electors_2009 with Voters_2009 and Electors_2014 with Voters_2014 and all these on same graph. So on y axis I will have 'values' after melting.
Upvotes: 0
Views: 111
Reputation: 30474
It sounds like you were interested in PC_Name
on horizontal axis, and value
(after melting) on vertical axis. Perhaps you might be interested in a barplot with and compare electors and voters side-by-side?
As suggested by @camille, you could split your data frame's variable
column after melting into two columns (one with either Electors
or Voters
, and the other column with the year). This would provide flexibility in plot options.
Here are a couple of possibilities to start with:
variable
factor how you would like (e.g., Electors_2009
, Voters_2009
, Electors_2014
, etc. for comparison) and use geom_bar
.facet_wrap
to make comparisons between Electors
and Voters
by year.library(ggplot2)
library(reshape2)
long <- reshape2::melt(data, id.vars = "PC_Name")
# Split electors/voters from year into 2 columns
long <- cbind(long, colsplit(long$variable, "_", c("type", "year")))
# Change order of variable factor for comparisons
long$variable <- factor(long$variable, levels =
c("Electors_2009", "Voters_2009",
"Electors_2014", "Voters_2014",
"Electors_2019", "Voters_2019"))
# Plot value vs. PC_Name using barplot (all years together)
ggplot(long, aes(PC_Name, value, fill = variable)) +
geom_bar(position = "dodge", stat = "identity")
# Show example plot faceted by year
ggplot(long, aes(PC_Name, value, fill = type)) +
geom_bar(position = "dodge", stat = "identity") +
facet_wrap(~year, ncol = 1)
Please let me know if this is what you had in mind. There would be alternative options available.
Upvotes: 1