combining summarize and ggplot to make a pie chart

tidyverse
,
1

I was trying to combine summarize and ggplot to produce a pie chart with percentages

Anemia2 %>% group_by(Hb_level) %>% summarize(count=n()) %>% mutate(percentages=formattable::percent(count/sum(count))) %>% ggplot(aes(y=percentages,fill=Hb_level)) +geom_bar() +coord_polar()

But it was all to no ggod

My data
structure(list(Name = c("Jayalath waidyanath", "Nisani Waidyanath",
"jayampahi thennakon", "Nandha thennakon", "Thilak thennakon",
"G.G Fonseka", "G.D.G Fonseka", "Y.R.C Jayakantha", "D.M jayakantha",
"S.N.M Rajabdeeen", "A.S Nishshanka", "A.M.D.S Alagama", "D.Sudagar",
"K.Asitha Silwa", "M.P Noilin", "Ashen Nimsara", "Y.M Umayanga Sadaneth",
"N. Priyadharsani", "A.A.S H. Hansamali", "K.D Rupasinghe", "P. Rupasinghe",
"A.M.S Begam", "W.J.U. Jayawardhana", "M.D.P. Malkanthi", "E.M.A Ekanayaka",
"Gimini Jayawaradhana", "Manel kumari", "Dilani mahesika", "W.Balasoorya",
"C.Priyathunga", "J.karunarathna"), WBC = c(8.1, 5.8, 6.9, 7.9,
12.2, 4.9, 7.4, 5.8, 7.6, 8.1, 8.8, 11.1, 7.1, 7.2, 5.5, 6.3,
9.5, 7.5, 5.5, 5.9, 4.9, 9.7, 6.1, 10.6, 8.6, 10.4, 5.8, 9.9,
10.3, 9.1, 6.8), LYM = c(48, 49.1, 37.9, 48.9, 29.1, 49.7, 52.3,
44, 57.1, 47.9, 38.4, 39.4, 44.4, 58.1, 41.6, 57.7, 37.7, 47.3,
42.1, 55.5, 49.8, 31, 44.6, 44.1, 40.8, 44, 37.2, 39.2, 43.2,
45.6, 46.8), MID = c(11.8, 9.6, 9.4, 12.9, 10.8, 9.4, 8.3, 16.6,
10.7, 12.4, 14, 9.8, 10.3, 6.5, 14.4, 9.2, 10.9, 5.8, 8.6, 5.1,
5.6, 8.6, 7.2, 9.7, 10.1, 7.7, 4.5, 6.8, 6.6, 5.9, 5.5), GRA = c(40.2,
41.3, 52.7, 38.2, 60.1, 40.9, 39.4, 2.3, 32.2, 39.7, 47.6, 50.8,
45.3, 35.4, 44, 33.1, 51.4, 46.9, 49.3, 39.4, 44.6, 60.4, 48.2,
46.2, 49.1, 48.3, 58.3, 54, 50.2, 48.5, 47.7), Hb = c(13.1, 11.7,
13.9, 7.9, 12.5, 13.9, 12.6, 11.7, 11.6, 17.5, 11.3, 12.2, 14.5,
13.2, 10.6, 12.2, 13.5, 10.9, 10.1, 11.4, 11.3, 10.8, 12.7, 11.9,
11.8, 11.1, 11.4, 12, 12.7, 13.3, 10.6), Gamma GT = c(60, 58,
37, 25, 169, 76, 29, 17, 15, 30, 41, 18, 196, 15, 49, 28, 68,
52, 20, 25, 17, 21, 23, 37, 34, 68, 24, 73, 24, 108, 61), Hb_level <- case_when(Hb >= 12 ~ "high", Hb < 12 ~ "low") = c("high",
"low", "high", "low", "high", "high", "high", "low", "low", "high",
"low", "high", "high", "high", "low", "high", "high", "low",
"low", "low", "low", "low", "high", "low", "low", "low", "low",
"high", "high", "high", "low"), Hb_level = c("high", "low", "high",
"low", "high", "high", "high", "low", "low", "high", "low", "high",
"high", "high", "low", "high", "high", "low", "low", "low", "low",
"low", "high", "low", "low", "low", "low", "high", "high", "high",
"low")), row.names = c(NA, -31L), class = c("tbl_df", "tbl",
"data.frame"))

2

your data is broken....


# Load ggplot2
library(ggplot2)

# Create Data
data <- data.frame(
  group=LETTERS[1:5],
  value=c(13,7,9,21,2)
)

# Basic piechart
ggplot(data, aes(x="", y=value, fill=group)) +
  geom_bar(stat="identity", width=1) +
  coord_polar("y", start=0)

image

> data
  group value
1     A    13
2     B     7
3     C     9
4     D    21
5     E     2

hou about your data form?

3

Why don't you follow the answer in here:

???
Your data isn't correct, also this doesn't make sense.
Hb_level <- case_when(Hb >= 12 ~ "high", Hb < 12 ~ "low") = c("high",
either you calculate the Hb_level or you define it for every sample.

I don't have the formattable package, so I leave this one out here.
When working with summarised values you need to use geom_col, or geom_bar(stat = "identity").

Anemia %>% 
  mutate(Hb_level = case_when(Hb >= 12 ~ "high", 
                              TRUE ~ "low")) %>% 
  group_by(Hb_level) %>% 
  summarize(count=n()) %>%
  mutate(percentages= round(count/sum(count)*100, 1)) %>% 
  ggplot(aes(x = 1, y=percentages,fill=Hb_level)) + 
  geom_col()  + 
  coord_polar(theta = "y")
4

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