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    pointblank

    pointblank

    Data quality assessment and metadata reporting for data frames

    ...We can enable much more sophisticated validation checks by using custom expressions, segmenting the data, and by selective mutations of the target table. The suite of validation functions ensures that everything just works no matter whether your table is a data frame or a database table. Sometimes, we want to maintain table information and update it when the table goes through changes. For that, we can use an informant object plus associated functions to help define the metadata entries and present it as a data dictionary.
    Downloads: 1 This Week
    Last Update:
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  • 2
    IRkernel

    IRkernel

    R kernel for Jupyter

    ...You can install kernels for multiple versions of R by supplying a name and display name argument to the install spec() call (You still need to install these packages in all interpreters you want to run as a Jupyter kernel!):
    Downloads: 1 This Week
    Last Update:
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