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Spotfire Ideas Portal
Status Future Consideration
Product Spotfire
Categories Data Management
Created by Guest
Created on Apr 5, 2017

Data wrangling function to merge multiple dataframes to fill and replace

Often, multiple sources of data have different level of 'complete cases' - dataset #1 may have 60% filled entries, while dataset #2 may have the remaining 20% that are missing from #1 (both datasets may have all or some columns matching). Currently, an R merge, conditioned with matching column names and key index does the trick, but a native Spotfire functionality will be useful for non-coders.

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  • Guest
    Reply
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    Feb 27, 2020

    The deduplication step following Add Rows/Columns is a pain.

  • Guest
    Reply
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    Feb 27, 2020

    Please provide more details on what is not covered by today's Add rows and Add columns operations in Spotfire.