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devtools::install_github("gitronald/IPtoCountry")
library(IPtoCountry)
data(IPs)
Internet Protocol (IP) addresses serve as the feelers upon which the Internet is able to connect computers and servers across great distances and within complicated clusters. These IP addresses come in two forms, IPv4 and IPv6:
Example IPv4 address: 180.20.23.162
Example IPv6 address: 2001:0db8:0000:0042:0000:8a2e:0370:7334
IPv6 was built to overcome the eventual exhaustion of available IPv4 addresses, but that hasn't largely happened yet, so our focus here in on IPv4.
> IP_split("180.20.23.162")
[,1] [,2] [,3] [,4]
ip.split 180 20 23 162
> Octet1 = 180
> Octet2 = 20
> Octet3 = 23
> Octet4 = 162
> (Octet1 * 256^3) + (Octet2 * 256^2) + (Octet3 * 256^1) + (Octet4 * 256^0)
[1] 3021215650
> IP_integer("180.20.23.162")
[1] 3021215650
> IP_lookup(3021215650)
[1] "China"
data.table
> IP_country("180.20.23.162")
[1] China
Levels: China
> IP_location("180.20.23.162")
abrv country region city zip lat long gmt
1 CN China Beijing Beijing 100006 39.9075 116.39723 +08:00
> IP_plot(IPs)
> IP_generator(5)
[1] "125.65.50.53" "79.250.76.62" "142.245.152.177" "230.76.201.42" "107.182.57.171"
# Test processing speed on sample of 1000 IPs
> library(microbenchmark)
> microbenchmark(IP_country(IPs))
Unit: milliseconds
expr min lq mean median uq max neval
IP_country(IPs) 85.27124 87.03638 91.0021 87.6341 89.12941 206.8301 100
> microbenchmark(IP_location(IPs))
Unit: seconds
expr min lq mean median uq max neval
IP_location(IPs) 3.673867 4.228647 4.614923 4.44011 4.993532 6.40974 100
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