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Weather at Berlin US Airport.R
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Weather at Berlin US Airport.R
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## Santiago Mota
## santiago_mota@yahoo.es
## https://es.linkedin.com/in/santiagomota/en
# Libraries
library(ggplot2)
library(scales)
library(plyr)
# To install weatherData
install.packages("devtools")
library("devtools")
install_github("weatherData", "Ram-N")
library("weatherData")
date_range <- as.POSIXlt(c(as.Date('2013-01-01 CET'):as.Date('2015-09-17 CET')),
tz='UTC', origin='1970-01-01')
summary(date_range)
### Berlin ###
# Station at Berlin/US
location <- "Berlin"
getStationCode(location)
# [[1]]
# Station State airportCode
# 1002 Berlin NH KBML
#
# [[2]]
# [1] "USA KS OBERLIN KOIN OIN 39 50N 100 32W 824 X W 9 US"
# [2] "USA NH BERLIN KBML BML 72616 44 35N 071 11W 345 X A 7 US"
# [3] "GERMANY BERLIN/TEMPLEHO EDBB 52 28N 013 24E 49 Z 7 DE"
# [4] "GERMANY BERLIN/SCHONEFEL EDDB 10385 52 23N 013 32E 48 X T 6 DE"
# [5] "GERMANY BERLIN/TEMPELHOF EDDI 10384 52 28N 013 24E 49 X T 6 DE"
# [6] "GERMANY BERLIN/TEGEL (FA EDDT 10382 52 34N 013 19E 37 X T 6 DE"
# [7] "GERMANY BERLIN/SCHONEFE ETBS 52 22N 013 31E 48 Z 7 DE"
id_station <- "KBML" # Berlin US airport
# Range
# "2013-01-01" - "2015-09-17"
checkDataAvailabilityForDateRange(id_station, "2013-01-01", "2015-09-17",
"airportCode")
showAvailableColumns(id_station, "2013-01-01", "2015-09-17",
station_type="airportCode", opt_detailed=TRUE,
opt_verbose=TRUE)
# columnNumber columnName
# 1 1 TimeEST
# 2 2 TemperatureC
# 3 3 Dew_PointC
# 4 4 Humidity
# 5 5 Sea_Level_PressurehPa
# 6 6 VisibilityKm
# 7 7 Wind_Direction
# 8 8 Wind_SpeedKm_h
# 9 9 Gust_SpeedKm_h
# 10 10 Precipitationmm
# 11 11 Events
# 12 12 Conditions
# 13 13 WindDirDegrees
# 14 14 DateUTC
# Contest weather range
berlin_US <- getWeatherForDate(id_station, "2013-01-01", "2015-09-17",
daily_min=TRUE, daily_max=TRUE,
opt_all_columns=TRUE, opt_detailed=FALSE)
range(berlin_US$Date)
# Some information
names(berlin_US)
summary(berlin_US$WindDirDegrees)
summary(as.factor(berlin_US$Events))
summary(berlin_US$Max_Wind_SpeedKm_h)
summary(berlin_US$Max_Gust_SpeedKm_h)
summary(berlin_US$Precipitationmm)
summary(berlin_US$Mean_Humidity)
summary(berlin_US$CloudCover)
berlin_US$Events <- as.factor(berlin_US$Events)
str(berlin_US)
summary(berlin_US)
ggplot(berlin_US, aes(Date, Mean_TemperatureC)) + geom_line() +
xlab("Date") + ylab("Mean Temp C") +
ggtitle("Average Temperature at Berlin US Airport")