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Spreadsheet Helper

Used for spreadsheet and SQL like operations, like grouping or joining data.

Infer data types

In order to ensure data type consistency, you have the option whether to infer data types (off by default).
Infer data types option in all relevant actions
If this option is turned on, the Helper will try to automatically infer the data type of each column. This might cause unexpected results when working with zip codes and other numbers that can start with 0.
Otherwise, the data types will be left as provided by the source.

Actions

Group by

Group a spreadsheet or CSV file and apply different aggregates and properties.
The available aggregation functions are:
  • mean
  • sum
  • size
  • count
  • std
  • var
  • sem
  • first
  • last
  • min
  • max
  • median

Insert column

Insert a column into a spreadsheet - Pandas Docs for further details

Join

Join multiple spreadsheets or tables with a common column (VLookup) - Pandas Docs for further details.
This comes in handy if you want to map different tables based on common column data.

Query spreadsheet

The database is purely in memory and SQLite is used. See SQLite functions here.
Special cases not covered by SQLite:

Remove duplicates

Remove duplicates from a spreadsheet - Pandas Docs for further details

Remove specific labels

Remove a specified row or column - Pandas Docs for further details

Return first n rows

Return the first n rows of a spreadsheet - Pandas Docs for further details

Sort by

Sort the spreadsheet by one or more columns - Pandas Docs for further details