Bar chart showing mean values

Question

I've some financial panel data for disaster relief and have created some bar charts showing the amount of funding per disaster category using this code:

    ggplot(Template.2006.2017, aes(x=Disaster_category, y=Total_US_required)) + 
geom_bar(stat="identity", fill="lightblue") + 
coord_flip()

Now I want to create a similar graph showing the mean instead of the total amount ignoring all the NA:s. Any suggestions on how to do this?

Here's my data (compressed):

    structure(list(Disaster_category = structure(c(1L, 15L, 17L, 
15L, 5L, 8L, 13L, 8L, 2L, 8L, 2L, 3L, 8L, 2L, 8L, 2L, 10L, 5L, 
7L, 8L, 15L, 2L, 8L, 2L, 15L, 15L, 8L, 15L, 2L, 17L, 2L, 7L, 
2L, 8L, 2L, 3L, 2L, 8L, 8L, 2L, 8L, 17L, 2L, 3L, 8L, 8L, 2L, 
8L, 8L, 8L, 2L, 8L, 3L, 2L, 3L, 2L, 8L, 2L, 3L, 8L, 2L, 8L, 2L, 
15L, 5L, 8L, 13L, 8L, 15L, 2L, 8L, 2L, 3L, 2L, 3L, 15L, 8L, 3L, 
2L, 3L, 8L, 2L, 3L, 2L, 8L, 2L, 8L, 15L, 2L, 8L, 8L, 5L, 2L, 
8L, 2L, 3L, 2L, 17L, 2L, 17L, 2L, 4L, 5L, 8L, 8L, 2L, 8L, 15L, 
2L, 15L, 15L, 7L, 2L, 8L, 2L, 15L, 15L, 7L, 8L, 17L, 2L, 15L, 
8L, 2L, 17L, 2L, 3L, 8L, 2L, 5L, 2L, 8L, 2L, 8L, 8L, 15L, 2L, 
8L, 2L, 15L, 8L, 2L, 15L, 8L, 7L, 8L, 15L, 2L, 8L, 8L, 7L, 13L, 
8L, 2L, 8L, 2L, 8L, 8L, 3L, 2L, 13L, 2L, 3L, 8L, 2L, 15L, 15L, 
8L, 15L, 2L, 5L, 3L, 3L, 8L, 3L, 2L, 8L, 8L, 3L, 2L, 8L, 2L, 
15L, 2L, 17L, 2L, 5L, 2L, 8L, 2L, 15L, 2L, 3L, 8L, 8L, 2L, 8L, 
8L, 2L, 3L), .Label = c("", " ", "Disease", "Disease related disaster", 
"Drought", "Drought & storm", "Extreme temperature / fire", "Flood", 
"Flood & drought", "Insect infestation", "Insect infestation & drought", 
"Landslide & flood", "Landslide / mudslide", "Other", "Storm", 
"Storm & flood", "Winter"), class = "factor"), Total_US_received_from.CERF = c(NA, 
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 678307.8333, 
678307.8333, 678307.8333, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 1110469.5, NA, NA, 
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
NA, NA, 1905355, NA, NA, NA, NA, NA, NA, NA, NA, NA, 2493246, 
2493246, 2493246, 2493246, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
NA, NA, NA, 333333.3333, 333333.3333, 333333.3333, NA, NA, NA, 
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 9365420, 
NA, NA, 14321419, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA), 
    Total_US_received = c(NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, 15507224.5, 15507224.5, 15507224.5, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, 333333.3333, 333333.3333, 
    333333.3333, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA), Total_US_required = c(NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, 20502064.83, 20502064.83, 20502064.83, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, 3070192, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, 49955895.25, 49955895.25, 49955895.25, 49955895.25, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 333333.3333, 
    333333.3333, 333333.3333, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA)), row.names = c(NA, 
200L), class = "data.frame")

you can use `dput(head(YourDataSet,10))` to get only 10 rows. please edit your question with proper dataset — Sal-laS, Sep 09 '18 at 09:06
I agree with both comments. A small word to the intention of visualising means with bar charts - this is highly misleading and I would not recommend that. Bar charts suggest a *count* of something. A *mean* is a single value with a statistic - I would recommend using either box plots, or dots with error bars instead. — tjebo, Sep 09 '18 at 10:03
@SalmanLashkarara: the first 10 rows are all NA:s for the relevant variable. I', not sure that I can compress it much more and keep the data meaningful. — JanC, Sep 09 '18 at 10:06
do a `dt<-na.omit(dt)` it removes all the rows with `NA`, and then run `dput` — Sal-laS, Sep 09 '18 at 10:07

Bar chart showing mean values

0 Answers0