I looked around but could not find a better way to get the weather data. So I turned to R. Now, to get historical weather data, I am using Weather Underground's REST APIs and I put together a simple program in R to get the weather data in a data.frame. This R module gets called from SAP HANA and it inserts a new table into HANA with the right weather information. Once, I have the data in HANA, I performed mash-ups in HANA and off I go on my intellectual pursuit.
Weather Underground returns the data in both XML and JSON file formats. The program logic is very simple, [once you have spent hours cracking it, the end product looks simple anyways :-)] and there are appropriate comments in the code below for self-learning.
I want to mention that you are not limited to just getting the historical view on weather data. You can get the weather forecast for next 10 days, perform your analysis and predict future!
Make sure to register with Weather Underground (API documentation link), comply with their rules and get your own key to access their APIs.
############################################################################
getHistoricalWeather <- function(airport.code="SFO", date="Sys.Date()")
{
base.url <- 'http://api.wunderground.com/api/{your key here}/'
# compose final url
final.url <- paste(base.url, 'history_', date, '/q/', airport.code, '.json', sep='')
# reading in as raw lines from the web service
conn <- url(final.url)
raw.data <- readLines(conn, n=-1L, ok=TRUE)
# Convert to a JSON
weather.data <- fromJSON(paste(raw.data, collapse=""))
close(conn)
return(weather.data)
}
# get data for 10 days - restriction by Weather Underground for free usage
date.range <- seq.Date(from=as.Date('2006-1-01'), to=as.Date('2006-1-10'), by='1 day')
# Initialize a data frame
hdwd <- data.frame()
# loop over dates, and fetch weather data
for(i in seq_along(date.range)) {
weather.data <- getHistoricalWeather('SFO', format(date.range[i], "%Y%m%d"))
hdwd <- rbind(hdwd, ldply(weather.data$history$dailysummary,
function(x) c('SJC', date.range[i], x$fog, x$rain, x$snow, x$meantempi, x$meanvism, x$maxtempi, x$mintempi)))
}
colnames(hdwd) <- c("Airport", "Date", 'Fog', 'Rain', 'Snow','AvgTemp', 'AvgVisibility','MaxTemp','MinTemp')
# save to CSV
write.csv(hdwd, file=gzfile('SFC-Jan2006.csv.gz'), row.names=FALSE)
############################################################################
Results -
Results -
Airport | Date | Fog | Rain | Snow | AvgTemp | AvgVisibility | MaxTemp | MinTemp |
SFO | 13149 | 0 | 1 | 0 | 55 | 14 | 62 | 47 |
SFO | 13150 | 0 | 1 | 0 | 53 | 11 | 55 | 50 |
SFO | 13151 | 0 | 1 | 0 | 51 | 14 | 56 | 46 |
SFO | 13152 | 0 | 0 | 0 | 56 | 16 | 62 | 50 |
SFO | 13153 | 0 | 0 | 0 | 54 | 14 | 60 | 48 |
SFO | 13154 | 0 | 1 | 0 | 52 | 14 | 59 | 45 |
SFO | 13155 | 0 | 1 | 0 | 56 | 14 | 61 | 50 |
SFO | 13156 | 0 | 0 | 0 | 51 | 16 | 57 | 45 |
SFO | 13157 | 0 | 0 | 0 | 49 | 16 | 56 | 41 |
SFO | 13158 | 0 | 0 | 0 | 54 | 10 | 61 | 46 |
Happy Analyzing!
Is this a world wide data base?
ReplyDeleteHow far back in time can you get data?
I don't recall Gustaf, please check it out here: http://www.wunderground.com/weather/api/d/documentation.html
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Cool thanks, now I just need to dig in to the API and find out what I can get.
ReplyDeleteYou should add that you need:
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ReplyDeleteI put a sleep for 60 seconds before making another batch request and I can only make 500 calls per days. What I don't like about W-Underground's API is that I can only download data for a single day in one API call.
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