我正在使用IBM数据科学经验（DSX），https://datascience.ibm.com/。我将r与rstudio一起使用。
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是否可以使用DSX的R访问数据？
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如果没有，任何替代方案。
假设您有一个DSX帐户，您也应该拥有一个IBM Cloud帐户。如果您在IBM Cloud中添加Weather Company数据服务，则将获得服务凭据（即用户名和密码）。使用凭据，您可以使用httr库，例如，在rstudio中使用天气公司API进行HTTP请求，例如：
library(httr)
r <- GET("https://<username>:<password>@twcservice.mybluemix.net:443/api/weather/v1/geocode/45.42/75.69/forecast/hourly/48hour.json?units=m&language=en-US")
content(r, "text")
[1] "{"metadata":{"language":"en-US","transaction_id":"1512488325604:776158712","version":"1","latitude":45.42,"longitude":75.69,"units":"m","expire_time_gmt":1512488925,"status_code":200},"forecasts":[{"class":"fod_short_range_hourly","expire_time_gmt":1512488925,"fcst_valid":1512489600,"fcst_valid_local":"2017-12-05T22:00:00+0600","num":1,"day_ind":"N","temp":-5,"dewpt":-5,"hi":-5,"wc":-8,"feels_like":-8,"icon_extd":2600,"wxman":"wx1210","icon_code":26,"dow":"Tuesday","phrase_12char":"Cloudy","phrase_22char":"Cloudy","phrase_32char":"Cloudy","subphrase_pt1":"Cloudy","subphrase_pt2":"","subphrase_pt3":"","pop":0,"precip_type":"snow","qpf":0.0,"snow_qpf":0.0,"rh":100,"wspd":6,"wdir":236,"wdir_cardinal":"SW","gust":null,"clds":81,"vis":16.0,"mslp":1034.4,"uv_index_raw":0,"uv_index":0,"uv_warning":0,"uv_desc":"Low","golf_index":null,"golf_category":"","... <truncated>
这将为您提供加拿大渥太华的48小时天气预报。
获得结果的数据框架使用以下内容：
library(httr)
library(jsonlite)
r <- GET("https://<username>:<password>@twcservice.mybluemix.net:443/api/weather/v1/geocode/45.42/75.69/forecast/hourly/48hour.json?units=m&language=en-US")
weather <- content(r, "text")
wData <- fromJSON(weather)
weatherDF <- data.frame(wData)