This package contains utilities to work with DataCamp Data Connector. It is designed to be used by administrators and managers of DataCamp groups. Some prior experience of writing reports with R is recommended.
Warning, this package is no longer actively maintained! Please see the announcement for more information and alternatives.
You can install the development version with:
if (!requireNamespace('remotes', quietly = TRUE)){
install.packages("remotes")
}
remotes::install_github("datacamp/dcdcr")
Before you begin, you need to enable Data Connector in your DataCamp group, and set S3 credentials as environment variables, as described in this this Support article. If in doubt, speak to your Customer Success Manager.
You can access any of the tables in the data connector by initializing
it using the data_connector
function and using autocomplete to access
all the tables.
By default the connector is set up to access data for the latest date.
However, you can also pass a date
argument to dc_data_connector
to
initialize it to access data for a specific date. This is useful when
you want to create reports and want to pin your analysis to data as on a
specific date.
library(dcdcr)
dc <- data_connector()
dc$assessment_dim()
You can also print the documentation for each table by accessing the function using autocomplete, but NOT invoking it.
dc$assessment_dim
All the data accessors are memoized and will cache the results in memory when they are run for the first time. This should speed up analysis considerably since the data is already cached in memory.
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