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Asked: 2026-06-13T03:47:46+00:00

Since my other question got closed, here is the required data. What I’m trying

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Since my other question got closed, here is the required data.
What I’m trying to do is have R calculate the last column ‘count’ towards the column city so I can map the data. Therefore I would need some kind of code to match this. Since I want to show how many participants (in count) are in the state of e.g Hawaii (HI) 

zip     city         state  latitude    longitude   count
96860   Pearl Harbor    HI  24.859832   -168.021815 36
96863   Kaneohe Bay     HI  21.439867   -157.74772  39
99501   Anchorage       AK  61.216799   -149.87828  12
99502   Anchorage       AK  61.153693   -149.95932  17
99506   Elmendorf AFB   AK  61.224384   -149.77461  2

what I’ve tried is 

match<- c(match(datazip$state, datazip$number))>$

but I’m really helpless trying to find a solution since I don’t even know how to describe this in short. My plan afterwards is to make choropleth map with the data and believe me by now I’ve seen almost all the pages that try to give advice. so your help is pretty much appreciated. Thanks

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1 Answer

  1. Editorial Team
    # I read your sample data to a data frame
> df
    zip          city state latitude longitude count
1 96860  Pearl_Harbor    HI 24.85983 -168.0218    36
2 96863   Kaneohe_Bay    HI 21.43987 -157.7477    39
3 99501     Anchorage    AK 61.21680 -149.8783    12
4 99502     Anchorage    AK 61.15369 -149.9593    17
5 99506 Elmendorf_AFB    AK 61.22438 -149.7746     2

# If you want to sum the number of counts by state
library(plyr)
> ddply(df, .(state), transform, count2 = sum(count))
    zip          city state latitude longitude count count2
1 99501     Anchorage    AK 61.21680 -149.8783    12     31
2 99502     Anchorage    AK 61.15369 -149.9593    17     31
3 99506 Elmendorf_AFB    AK 61.22438 -149.7746     2     31
4 96860  Pearl_Harbor    HI 24.85983 -168.0218    36     75
5 96863   Kaneohe_Bay    HI 21.43987 -157.7477    39     75
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