/
Weather.R
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Weather.R
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##############################################################################
## https://www.kaggle.com/c/rossmann-store-sales
## Rossmann Store Sales
## Santiago Mota
## santiago_mota@yahoo.es
## https://es.linkedin.com/in/santiagomota/en
# https://github.com/Ram-N/weatherData
# External data
# install.packages("devtools")
# library("devtools")
# install_github("Ram-N/weatherData")
library("weatherData")
date_range <- as.Date(c(as.Date('2013-01-01 CET'):as.Date('2015-09-17 CET')),
tz='UTC', origin='1970-01-01')
summary(date_range)
date_range_pos <- as.POSIXlt(date_range)
summary(date_range_pos)
## Around 30 minutes per station
# ------------------------------------------------------------------------------
### Berlin/Tegel ###
# Station at Berlin/Tegel
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 <- "EDDT" # Berlin -
# 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
# berlin <- getWeatherForDate(id_station, "2013-01-01", "2015-09-17",
# daily_min=TRUE, daily_max=TRUE,
# opt_all_columns=TRUE, opt_detailed=FALSE)
# This code does not work. Early stop due some download problems
id_station <- "EDDT" # Berlin -
berlin <- getWeatherForDate(id_station, date_range[1], date_range[1],
daily_min=TRUE, daily_max=TRUE,
opt_all_columns=TRUE, opt_detailed=FALSE)
# There is some values with CET and CEST, so we eliminate this column
# names(berlin) %in% names(temp)
berlin <- berlin[, c(1, 3:24)]
for (i in as.character(date_range)[2:990]) {
print(i)
temp <- getWeatherForDate(id_station, i, i, daily_min=TRUE,
daily_max=TRUE, opt_all_columns=TRUE,
opt_detailed=FALSE)
temp <- temp[, c(1, 3:24)]
berlin <- rbind(berlin, temp)
}
berlin$Station <- id_station
names(berlin)
summary(berlin$WindDirDegrees)
summary(as.factor(berlin$Events))
summary(berlin$Max_Wind_SpeedKm_h)
summary(berlin$Max_Gust_SpeedKm_h)
summary(berlin$Precipitationmm)
summary(berlin$Mean_Humidity)
summary(berlin$CloudCover)
# berlin$Events <- as.factor(berlin$Events)
str(berlin)
summary(berlin)
save(berlin, file="./data/berlin.RData")
ggplot(berlin, aes(Date, Mean_TemperatureC)) + geom_line() +
xlab("Date") + ylab("Mean Temp C") +
ggtitle("Average Temperature at berlin")
write.csv(berlin, file="./data/berlin.csv")
# ------------------------------------------------------------------------------
### Bremen ###
# Station at Bremen
location <- "Bremen"
getStationCode(location)
# [1] "GERMANY BREMEN EDDW 10224 53 02N 008 48E 5 X T 6 DE"
id_station <- "EDDW" # Bremen
# 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
# bremen <- getWeatherForDate(id_station, "2013-01-01", "2015-09-17",
# daily_min=TRUE, daily_max=TRUE,
# opt_all_columns=TRUE, opt_detailed=FALSE)
# range(bremen$Date)
# This code does not work. Early stop due some download problems
id_station <- "EDDW" # Bremen
bremen <- getWeatherForDate(id_station, date_range[1], date_range[1],
daily_min=TRUE, daily_max=TRUE,
opt_all_columns=TRUE, opt_detailed=FALSE)
# There is some values with CET and CEST, so we eliminate this column
# names(bremen) %in% names(temp)
bremen <- bremen[, c(1, 3:24)]
for (i in as.character(date_range)[2:990]) {
print(i)
temp <- getWeatherForDate(id_station, i, i, daily_min=TRUE,
daily_max=TRUE, opt_all_columns=TRUE,
opt_detailed=FALSE)
temp <- temp[, c(1, 3:24)]
bremen <- rbind(bremen, temp)
}
names(bremen)
summary(bremen$WindDirDegrees)
summary(as.factor(bremen$Events))
summary(bremen$Max_Wind_SpeedKm_h)
summary(bremen$Max_Gust_SpeedKm_h)
summary(bremen$Precipitationmm)
summary(bremen$Mean_Humidity)
summary(bremen$CloudCover)
# bremen$Events <- as.factor(bremen$Events)
str(bremen)
summary(bremen)
save(bremen, file="./data/bremen.RData")
ggplot(bremen, aes(Date, Mean_TemperatureC)) + geom_line() +
xlab("Date") + ylab("Mean Temp C") +
ggtitle("Average Temperature at bremen")
write.csv(bremen, file="./data/bremen.csv")
# ------------------------------------------------------------------------------
### Stuttgart ###
# Station at Stuttgart
location <- "Stuttgart"
getStationCode(location)
# [[1]]
# Station State airportCode
# 164 Stuttgart AR KSGT
#
# [[2]]
# [1] "USA AR STUTTGART KSGT SGT 34 36N 091 34W 68 X Z 7 US"
# [2] "GERMANY STUTTGART/ECHTER EDDS 10738 48 40N 009 13E 419 X T 6 DE"
# [3] "GERMANY STUTTGART/SCHNAR 10739 48 50N 009 12E 315 X 7 DE"
id_station <- "EDDS" # stuttgart
# 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
# stuttgart <- getWeatherForDate(id_station, "2013-01-01", "2015-09-17",
# daily_min=TRUE, daily_max=TRUE,
# opt_all_columns=TRUE, opt_detailed=FALSE)
# This code does not work. Early stop due some download problems
id_station <- "EDDS" # stuttgart
stuttgart <- getWeatherForDate(id_station, date_range[1], date_range[1],
daily_min=TRUE, daily_max=TRUE,
opt_all_columns=TRUE, opt_detailed=FALSE)
# There is some values with CET and CEST, so we eliminate this column
# names(stuttgart) %in% names(temp)
stuttgart <- stuttgart[, c(1, 3:24)]
for (i in as.character(date_range)[2:990]) {
print(i)
temp <- getWeatherForDate(id_station, i, i, daily_min=TRUE,
daily_max=TRUE, opt_all_columns=TRUE,
opt_detailed=FALSE)
temp <- temp[, c(1, 3:24)]
stuttgart <- rbind(stuttgart, temp)
}
names(stuttgart)
summary(stuttgart$WindDirDegrees)
summary(as.factor(stuttgart$Events))
summary(stuttgart$Max_Wind_SpeedKm_h)
summary(stuttgart$Max_Gust_SpeedKm_h)
summary(stuttgart$Precipitationmm)
summary(stuttgart$Mean_Humidity)
summary(stuttgart$CloudCover)
# stuttgart$Events <- as.factor(stuttgart$Events)
str(stuttgart)
summary(stuttgart)
save(stuttgart, file="./data/stuttgart.RData")
ggplot(stuttgart, aes(Date, Mean_TemperatureC)) + geom_line() +
xlab("Date") + ylab("Mean Temp C") +
ggtitle("Average Temperature at stuttgart")
write.csv(stuttgart, file="./data/stuttgart.csv")
# ------------------------------------------------------------------------------
### Dusseldorf ###
# Station at dusseldorf
location <- "Dusseldorf"
getStationCode(location)
# [1] "GERMANY dusseldorf EDDW 10224 53 02N 008 48E 5 X T 6 DE"
id_station <- "EDDL" # dusseldorf
# Range
# "2013-01-01" - "2015-09-17"
checkDataAvailabilityForDateRange(id_station, "2013-01-01", "2015-09-17",
"airportCode")
showAvailableColumns(id_station, "2013-01-01", "2015-09-17",
station_type="airportCode", opt_detailed=TRUE,
opt_verbose=TRUE)
# columnNumber columnName
# 1 1 TimeEST
# 2 2 TemperatureC
# 3 3 Dew_PointC
# 4 4 Humidity
# 5 5 Sea_Level_PressurehPa
# 6 6 VisibilityKm
# 7 7 Wind_Direction
# 8 8 Wind_SpeedKm_h
# 9 9 Gust_SpeedKm_h
# 10 10 Precipitationmm
# 11 11 Events
# 12 12 Conditions
# 13 13 WindDirDegrees
# 14 14 DateUTC
# dusseldorf <- getWeatherForDate(id_station, "2013-01-01", "2015-09-17",
# daily_min=TRUE, daily_max=TRUE,
# opt_all_columns=TRUE, opt_detailed=FALSE)
# This code does not work. Early stop due some download problems
id_station <- "EDDL" # dusseldorf
dusseldorf <- getWeatherForDate(id_station, date_range[1], date_range[1],
daily_min=TRUE, daily_max=TRUE,
opt_all_columns=TRUE, opt_detailed=FALSE)
# There is some values with CET and CEST, so we eliminate this column
# names(dusseldorf) %in% names(temp)
dusseldorf <- dusseldorf[, c(1, 3:24)]
for (i in as.character(date_range)[2:990]) {
print(i)
temp <- getWeatherForDate(id_station, i, i, daily_min=TRUE,
daily_max=TRUE, opt_all_columns=TRUE,
opt_detailed=FALSE)
temp <- temp[, c(1, 3:24)]
dusseldorf <- rbind(dusseldorf, temp)
}
dusseldorf$Station <- id_station
names(dusseldorf)
summary(dusseldorf$WindDirDegrees)
summary(as.factor(dusseldorf$Events))
summary(dusseldorf$Max_Wind_SpeedKm_h)
summary(dusseldorf$Max_Gust_SpeedKm_h)
summary(dusseldorf$Precipitationmm)
summary(dusseldorf$Mean_Humidity)
summary(dusseldorf$CloudCover)
# dusseldorf$Events <- as.factor(dusseldorf$Events)
str(dusseldorf)
summary(dusseldorf)
save(dusseldorf, file="./data/dusseldorf.RData")
ggplot(dusseldorf, aes(Date, Mean_TemperatureC)) + geom_line() +
xlab("Date") + ylab("Mean Temp C") +
ggtitle("Average Temperature at dusseldorf")
write.csv(dusseldorf, file="./data/dusseldorf.csv")
# ------------------------------------------------------------------------------
### Munich ###
# Station at munich
location <- "munich"
getStationCode(location)
# [1] "GERMANY MUNICH-FLUGHAFEN EDDM 10870 48 21N 011 49E 447 X T 6 DE"
# [2] "GERMANY MUNICH-RIEM EDDM 10866 48 07N 011 41E 529 Z 7 DE"
id_station <- "EDDM" # munich
# Range
# "2013-01-01" - "2015-09-17"
checkDataAvailabilityForDateRange(id_station, "2013-01-01", "2015-09-17",
"airportCode")
showAvailableColumns(id_station, "2013-01-01", "2015-09-17",
station_type="airportCode", opt_detailed=TRUE,
opt_verbose=TRUE)
# columnNumber columnName
# 1 1 TimeEST
# 2 2 TemperatureC
# 3 3 Dew_PointC
# 4 4 Humidity
# 5 5 Sea_Level_PressurehPa
# 6 6 VisibilityKm
# 7 7 Wind_Direction
# 8 8 Wind_SpeedKm_h
# 9 9 Gust_SpeedKm_h
# 10 10 Precipitationmm
# 11 11 Events
# 12 12 Conditions
# 13 13 WindDirDegrees
# 14 14 DateUTC
# munich <- getWeatherForDate(id_station, "2013-01-01", "2015-09-17",
# daily_min=TRUE, daily_max=TRUE,
# opt_all_columns=TRUE, opt_detailed=FALSE)
id_station <- "EDDM" # munich
munich <- getWeatherForDate(id_station, date_range[1], date_range[1],
daily_min=TRUE, daily_max=TRUE,
opt_all_columns=TRUE, opt_detailed=FALSE)
# There is some values with CET and CEST, so we eliminate this column
# names(munich) %in% names(temp)
munich <- munich[, c(1, 3:24)]
for (i in as.character(date_range)[2:990]) {
print(i)
temp <- getWeatherForDate(id_station, i, i, daily_min=TRUE,
daily_max=TRUE, opt_all_columns=TRUE,
opt_detailed=FALSE)
temp <- temp[, c(1, 3:24)]
munich <- rbind(munich, temp)
}
names(munich)
summary(munich$WindDirDegrees)
summary(as.factor(munich$Events))
summary(munich$Max_Wind_SpeedKm_h)
summary(munich$Max_Gust_SpeedKm_h)
summary(munich$Precipitationmm)
summary(munich$Mean_Humidity)
summary(munich$CloudCover)
# munich$Events <- as.factor(munich$Events)
str(munich)
summary(munich)
# Missing dates
sum(munich$Date<2013-01-01)
munich <- munich[!(munich$Date<2013-01-01),]
save(munich, file="./data/munich.RData")
ggplot(munich, aes(Date, Mean_TemperatureC)) + geom_line() +
xlab("Date") + ylab("Mean Temp C") +
ggtitle("Average Temperature at munich")
write.csv(munich, file="./data/munich.csv")
# ------------------------------------------------------------------------------
### Hamburg ###
# Station at Hamburg
location <- "Hamburg"
getStationCode(location)
id_station <- "EDDH" # hamburg
# [1] "GERMANY HAMBURG/FUHLSBUT EDDH 10147 53 38N 010 00E 16 X T 6 DE"
# [2] "GERMANY HAMBURG/FINKENWE EDHI 10149 53 32N 009 50E 13 X T 6 DE"
# 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
# hamburg <- getWeatherForDate(id_station, "2013-01-01", "2015-09-17",
# daily_min=TRUE, daily_max=TRUE,
# opt_all_columns=TRUE, opt_detailed=FALSE)
hamburg <- getWeatherForDate(id_station, date_range[1], date_range[1],
daily_min=TRUE, daily_max=TRUE,
opt_all_columns=TRUE, opt_detailed=FALSE)
# There is some values with CET and CEST, so we eliminate this column
# names(hamburg) %in% names(temp)
hamburg <- hamburg[, c(1, 3:24)]
for (i in as.character(date_range)[2:990]) {
print(i)
temp <- getWeatherForDate(id_station, i, i, daily_min=TRUE,
daily_max=TRUE, opt_all_columns=TRUE,
opt_detailed=FALSE)
temp <- temp[, c(1, 3:24)]
hamburg <- rbind(hamburg, temp)
}
names(hamburg)
summary(hamburg$WindDirDegrees)
summary(as.factor(hamburg$Events))
summary(hamburg$Max_Wind_SpeedKm_h)
summary(hamburg$Max_Gust_SpeedKm_h)
summary(hamburg$Precipitationmm)
summary(hamburg$Mean_Humidity)
summary(hamburg$CloudCover)
summary(hamburg$Mean_Sea_Level_PressurehPa)
# hamburg$Events <- as.factor(hamburg$Events)
plot(hamburg$Mean_TemperatureC, hamburg$Mean_Sea_Level_PressurehPa, col=as.factor(hamburg$Events))
plot(hamburg$Mean_TemperatureC, hamburg$Mean_Sea_Level_PressurehPa, col=hamburg$Precipitationmm)
str(hamburg)
summary(hamburg)
save(hamburg, file="./data/hamburg.RData")
ggplot(hamburg, aes(Date, Mean_TemperatureC)) + geom_line() +
xlab("Date") + ylab("Mean Temp C") +
ggtitle("Average Temperature at hamburg")
write.csv(hamburg, file="./data/hamburg.csv")
# ------------------------------------------------------------------------------
### Erfurt ###
# Station at Erfurt
location <- "Erfurt"
getStationCode(location)
# [1] "GERMANY ERFURT/BINDERSLE EDDE 10554 50 59N 010 58E 323 X T 6 DE"
id_station <- "EDDE" # erfurt
# 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
# erfurt <- getWeatherForDate(id_station, "2013-01-01", "2015-09-17",
# daily_min=TRUE, daily_max=TRUE,
# opt_all_columns=TRUE, opt_detailed=FALSE)
# This code does not work. Early stop due some download problems
id_station <- "EDDE" # erfurt
erfurt <- getWeatherForDate(id_station, date_range[1], date_range[1],
daily_min=TRUE, daily_max=TRUE,
opt_all_columns=TRUE, opt_detailed=FALSE)
# There is some values with CET and CEST, so we eliminate this column
# names(erfurt) %in% names(temp)
erfurt <- erfurt[, c(1, 3:24)]
for (i in as.character(date_range)[2:990]) {
print(i)
temp <- getWeatherForDate(id_station, i, i, daily_min=TRUE,
daily_max=TRUE, opt_all_columns=TRUE,
opt_detailed=FALSE)
temp <- temp[, c(1, 3:24)]
erfurt <- rbind(erfurt, temp)
}
names(erfurt)
summary(erfurt$WindDirDegrees)
summary(as.factor(erfurt$Events))
summary(erfurt$Max_Wind_SpeedKm_h)
summary(erfurt$Max_Gust_SpeedKm_h)
summary(erfurt$Precipitationmm)
summary(erfurt$Mean_Humidity)
summary(erfurt$CloudCover)
# erfurt$Events <- as.factor(erfurt$Events)
str(erfurt)
summary(erfurt)
save(erfurt, file="./data/erfurt.RData")
ggplot(erfurt, aes(Date, Mean_TemperatureC)) + geom_line() +
xlab("Date") + ylab("Mean Temp C") +
ggtitle("Average Temperature at erfurt")
write.csv(erfurt, file="./data/erfurt.csv")
# ------------------------------------------------------------------------------
### Frankfurt ###
# Station at Frankfurt
location <- "Frankfurt"
getStationCode(location)
# [1] "GERMANY FRANKFURT MAIN A EDDF 10637 50 03N 008 36E 113 X T 6 DE"
id_station <- "EDDF" # frankfurt
# Range
# "2013-01-01" - "2015-09-17"
checkDataAvailabilityForDateRange(id_station, "2013-01-01", "2015-09-17",
"airportCode")
showAvailableColumns(id_station, "2013-01-01", "2015-09-17",
station_type="airportCode", opt_detailed=TRUE,
opt_verbose=TRUE)
# columnNumber columnName
# 1 1 TimeEST
# 2 2 TemperatureC
# 3 3 Dew_PointC
# 4 4 Humidity
# 5 5 Sea_Level_PressurehPa
# 6 6 VisibilityKm
# 7 7 Wind_Direction
# 8 8 Wind_SpeedKm_h
# 9 9 Gust_SpeedKm_h
# 10 10 Precipitationmm
# 11 11 Events
# 12 12 Conditions
# 13 13 WindDirDegrees
# 14 14 DateUTC
# frankfurt <- getWeatherForDate(id_station, "2013-01-01", "2015-09-17",
# daily_min=TRUE, daily_max=TRUE,
# opt_all_columns=TRUE, opt_detailed=FALSE)
id_station <- "EDDF" # frankfurt
frankfurt <- getWeatherForDate(id_station, date_range[1], date_range[1],
daily_min=TRUE, daily_max=TRUE,
opt_all_columns=TRUE, opt_detailed=FALSE)
# There is some values with CET and CEST, so we eliminate this column
# names(frankfurt) %in% names(temp)
frankfurt <- frankfurt[, c(1, 3:24)]
for (i in as.character(date_range)[2:990]) {
print(i)
temp <- getWeatherForDate(id_station, i, i, daily_min=TRUE,
daily_max=TRUE, opt_all_columns=TRUE,
opt_detailed=FALSE)
temp <- temp[, c(1, 3:24)]
frankfurt <- rbind(frankfurt, temp)
}
names(frankfurt)
summary(frankfurt$WindDirDegrees)
summary(as.factor(frankfurt$Events))
summary(frankfurt$Max_Wind_SpeedKm_h)
summary(frankfurt$Max_Gust_SpeedKm_h)
summary(frankfurt$Precipitationmm)
summary(frankfurt$Mean_Humidity)
summary(frankfurt$CloudCover)
# frankfurt$Events <- as.factor(frankfurt$Events)
str(frankfurt)
summary(frankfurt)
save(frankfurt, file="./data/frankfurt.RData")
ggplot(frankfurt, aes(Date, Mean_TemperatureC)) + geom_line() +
xlab("Date") + ylab("Mean Temp C") +
ggtitle("Average Temperature at frankfurt")
write.csv(frankfurt, file="./data/frankfurt.csv")
# ------------------------------------------------------------------------------
### Dresden ###
# Station at dresden
location <- "Dresden"
getStationCode(location)
# [1] "GERMANY DRESDEN/KLOTZSCH EDDC 10488 51 08N 013 45E 226 X T 6 DE"
id_station <- "EDDC" # dresden
# 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
# dresden <- getWeatherForDate(id_station, "2013-01-01", "2015-09-17",
# daily_min=TRUE, daily_max=TRUE,
# opt_all_columns=TRUE, opt_detailed=FALSE)
id_station <- "EDDC" # dresden
dresden <- getWeatherForDate(id_station, date_range[1], date_range[1],
daily_min=TRUE, daily_max=TRUE,
opt_all_columns=TRUE, opt_detailed=FALSE)
# There is some values with CET and CEST, so we eliminate this column
# names(dresden) %in% names(temp)
dresden <- dresden[, c(1, 3:24)]
for (i in as.character(date_range)[2:990]) {
print(i)
temp <- getWeatherForDate(id_station, i, i, daily_min=TRUE,
daily_max=TRUE, opt_all_columns=TRUE,
opt_detailed=FALSE)
temp <- temp[, c(1, 3:24)]
dresden <- rbind(dresden, temp)
}
names(dresden)
summary(dresden$WindDirDegrees)
summary(as.factor(dresden$Events))
summary(dresden$Max_Wind_SpeedKm_h)
summary(dresden$Max_Gust_SpeedKm_h)
summary(dresden$Precipitationmm)
summary(dresden$Mean_Humidity)
summary(dresden$CloudCover)
# dresden$Events <- as.factor(dresden$Events)
str(dresden)
summary(dresden)
save(dresden, file="./data/dresden.RData")
ggplot(dresden, aes(Date, Mean_TemperatureC)) + geom_line() +
xlab("Date") + ylab("Mean Temp C") +
ggtitle("Average Temperature at dresden")
write.csv(dresden, file="./data/dresden.csv")
# ------------------------------------------------------------------------------
### Nuernberg ###
# Station at nuernberg
location <- "Nuernberg"
getStationCode(location)
# [1] "GERMANY NUERNBERG EDDN 10763 49 30N 011 05E 312 X T 6 DE"
id_station <- "EDDN" # nuernberg
# Range
# "2013-01-01" - "2015-09-17"
checkDataAvailabilityForDateRange(id_station, "2013-01-01", "2015-09-17",
"airportCode")
showAvailableColumns(id_station, "2013-01-01", "2015-09-17",
station_type="airportCode", opt_detailed=TRUE,
opt_verbose=TRUE)
# columnNumber columnName
# 1 1 TimeEST
# 2 2 TemperatureC
# 3 3 Dew_PointC
# 4 4 Humidity
# 5 5 Sea_Level_PressurehPa
# 6 6 VisibilityKm
# 7 7 Wind_Direction
# 8 8 Wind_SpeedKm_h
# 9 9 Gust_SpeedKm_h
# 10 10 Precipitationmm
# 11 11 Events
# 12 12 Conditions
# 13 13 WindDirDegrees
# 14 14 DateUTC
# nuernberg <- getWeatherForDate(id_station, "2013-01-01", "2015-09-17",
# daily_min=TRUE, daily_max=TRUE,
# opt_all_columns=TRUE, opt_detailed=FALSE)
id_station <- "EDDN" # nuernberg
nuernberg <- getWeatherForDate(id_station, date_range[1], date_range[1],
daily_min=TRUE, daily_max=TRUE,
opt_all_columns=TRUE, opt_detailed=FALSE)
# There is some values with CET and CEST, so we eliminate this column
# names(nuernberg) %in% names(temp)
nuernberg <- nuernberg[, c(1, 3:24)]
for (i in as.character(date_range)[2:990]) {
print(i)
temp <- getWeatherForDate(id_station, i, i, daily_min=TRUE,
daily_max=TRUE, opt_all_columns=TRUE,
opt_detailed=FALSE)
temp <- temp[, c(1, 3:24)]
nuernberg <- rbind(nuernberg, temp)
}
nuernberg$Station <- id_station
names(nuernberg)
summary(nuernberg$WindDirDegrees)
summary(as.factor(nuernberg$Events))
summary(nuernberg$Max_Wind_SpeedKm_h)
summary(nuernberg$Max_Gust_SpeedKm_h)
summary(nuernberg$Precipitationmm)
summary(nuernberg$Mean_Humidity)
summary(nuernberg$CloudCover)
# nuernberg$Events <- as.factor(nuernberg$Events)
str(nuernberg)
summary(nuernberg)
save(nuernberg, file="./data/nuernberg.RData")
ggplot(nuernberg, aes(Date, Mean_TemperatureC)) + geom_line() +
xlab("Date") + ylab("Mean Temp C") +
ggtitle("Average Temperature at nuernberg")
write.csv(nuernberg, file="./data/nuernberg.csv")
# ------------------------------------------------------------------------------
### Neubrandenburg ###
# Station at neubrandenburg
location <- "Neubrandenburg"
getStationCode(location)
# [1] "GERMANY TROLLENHAGEN ETNU 10281 53 36N 013 19E 71 X T 7 DE"
id_station <- "ETNU" # neubrandenburg
# Range
# "2013-01-01" - "2015-09-17"
checkDataAvailabilityForDateRange(id_station, "2013-01-01", "2015-09-17",
"airportCode")
showAvailableColumns(id_station, "2013-01-01", "2015-09-17",
station_type="airportCode", opt_detailed=TRUE,
opt_verbose=TRUE)
# columnNumber columnName
# 1 1 TimeEST
# 2 2 TemperatureC
# 3 3 Dew_PointC
# 4 4 Humidity
# 5 5 Sea_Level_PressurehPa
# 6 6 VisibilityKm
# 7 7 Wind_Direction
# 8 8 Wind_SpeedKm_h
# 9 9 Gust_SpeedKm_h
# 10 10 Precipitationmm
# 11 11 Events
# 12 12 Conditions
# 13 13 WindDirDegrees
# 14 14 DateUTC
# neubrandenburg <- getWeatherForDate(id_station, "2013-01-01", "2015-09-17",
# daily_min=TRUE, daily_max=TRUE,
# opt_all_columns=TRUE, opt_detailed=FALSE)
id_station <- "ETNU" # neubrandenburg
neubrandenburg <- getWeatherForDate(id_station, date_range[1], date_range[1],
daily_min=TRUE, daily_max=TRUE,
opt_all_columns=TRUE, opt_detailed=FALSE)
# There is some values with CET and CEST, so we eliminate this column
# names(neubrandenburg) %in% names(temp)
neubrandenburg <- neubrandenburg[, c(1, 3:24)]
for (i in as.character(date_range)[2:990]) {
print(i)
temp <- getWeatherForDate(id_station, i, i, daily_min=TRUE,
daily_max=TRUE, opt_all_columns=TRUE,
opt_detailed=FALSE)
temp <- temp[, c(1, 3:24)]
neubrandenburg <- rbind(neubrandenburg, temp)
}
neubrandenburg$Station <- id_station
names(neubrandenburg)
summary(neubrandenburg$WindDirDegrees)
summary(as.factor(neubrandenburg$Events))
summary(neubrandenburg$Max_Wind_SpeedKm_h)
summary(neubrandenburg$Max_Gust_SpeedKm_h)
summary(neubrandenburg$Precipitationmm)
summary(neubrandenburg$Mean_Humidity)
summary(neubrandenburg$CloudCover)
# neubrandenburg$Events <- as.factor(neubrandenburg$Events)
str(neubrandenburg)
summary(neubrandenburg)
# Some missing data
neubrandenburg <- neubrandenburg[!(neubrandenburg$Date<2013-01-01),]
save(neubrandenburg, file="./data/neubrandenburg.RData")
ggplot(neubrandenburg, aes(Date, Mean_TemperatureC)) + geom_line() +
xlab("Date") + ylab("Mean Temp C") +
ggtitle("Average Temperature at neubrandenburg")
write.csv(neubrandenburg, file="./data/neubrandenburg.csv")
# ------------------------------------------------------------------------------
### Hahn ###
# Station at hahn
location <- "Hahn"
getStationCode(location)
# [1] "GERMANY HAHN EDFH 10616 49 57N 007 16E 498 X T 6 DE"
id_station <- "EDFH" # hahn
# 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
# hahn <- getWeatherForDate(id_station, "2013-01-01", "2015-09-17",
# daily_min=TRUE, daily_max=TRUE,
# opt_all_columns=TRUE, opt_detailed=FALSE)
id_station <- "EDFH" # hahn
hahn <- getWeatherForDate(id_station, date_range[1], date_range[1],
daily_min=TRUE, daily_max=TRUE,
opt_all_columns=TRUE, opt_detailed=FALSE)
# There is some values with CET and CEST, so we eliminate this column
# names(hahn) %in% names(temp)
hahn <- hahn[, c(1, 3:24)]
for (i in as.character(date_range)[2:990]) {
print(i)
temp <- getWeatherForDate(id_station, i, i, daily_min=TRUE,
daily_max=TRUE, opt_all_columns=TRUE,
opt_detailed=FALSE)
temp <- temp[, c(1, 3:24)]
hahn <- rbind(hahn, temp)
}
hahn$Station <- id_station
names(hahn)