The package includes functions for finding, and downloading data from the CBRT's database.
You need a key to download data from the CBRT's database. To get the key, please registed at the CBRT's Electronic Data Delivery System (URL: https://evds2.tcmb.gov.tr/index.php?/). Registration is free of charge and takes only a few minutes.
If you create an object called myCBRTKey, you do not need to enter it everytime:
myCBRTKey <-
your-key
All data series (variables) are classified into data groups, and data groups into data categories. There are 24 data categories (including the archieved ones), 323 data groups, and 22,243 data series.
The CBRT data includes more than 22,000 variables (data series).
To find variables, use the searchCBRT
function:
searchCBRT(c("production", "labor", "labour")) searchCBRT(c("production", "labor", "labour"), field = "series") searchCBRT(c("production", "labor", "labour"), tags = TRUE)
The package contains the lists of all data categories, data groups, and data series, as of 26 January 2019. You can update the list by the following commands:
allCBRTCategories <- getAllCategories() allCBRTGroups <- getAllGroups() allCBRTSeries <- getAllSeries()
After identifying the data group or data series, you can get
some information about the data by showGroupInfo
function:
showGroupInfo("bie_apifon")
If you want to get only names of series in a data group, use the following command:
showSeriesNames("bie_apifon")
You can download either one or more data series you specified, or all data series in a data group.
To download individual data series, use the getDataSeries
function:
mySeries <- getDataSeries("TP.D1TOP") mySeries <- getDataSeries(c("TP.D1TOP", "TP.D2HAZ", "TP.D4TCMB")) mySeries <- getDataSeries(c("TP.D1TOP", "TP.D2HAZ", "TP.D4TCMB", startDate="01-01-2010"))
To download all data series in a group, use the getDataGroup
function:
myData <- getDataGroup("bie_dbafod")
The freq
parameter defines the frequency of the data. If you do not define any frequency, the default frequency will be used.
The aggType
paremeter defines the method to be used to aggregate data series from high frequency to low frequency (for example, weekly data to monthly data). If no aggregation method is defined, the default will be used. (For the default values, use the showGroupInfo
function.)
For example, if you define monthly frequency for weekly data, and "sum" as the aggregation method, then the monthly totals will be returned. Since a data group includes more than one series, the getDataGroup
function does not have any aggType
parameter, and it aggregates data series by using their default aggregation method.
The following frequencies are defined (from high frequency to low frequency):
1
Day2
Work day3
Week4
Biweekly5
Month6
Quarter7
Six months8
YearThe following aggregation methods are available:
avg
Average valuefirst
First observationlast
Last observationmax
Maximum valuemin
Minimum valuesum
SumThe myData object is in data.table and data.frame classes, and it includes a time variable, and data series. The time variable will be either in date
or numeric
format depending on its frequency.
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