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Adjusting the column types

In the query results, the column headings include the identified column type. The training process uses numeric, categorical, and location columns in the training process.
  • Numeric columns contain a number value.
  • Categorical columns contain a specific set of values. For example, a categorical column might identify the marital status of a person represented in the data.
  • Location columns identify a physical location. For example, a location column might contain a zip code or a city name.
Tonic assigns initial types when it runs the query. Typically:
  • String columns are assigned as categorical.
  • Numeric columns are assigned as numeric.
  • Datetime value columns are assigned as datetime. Ideally, in your SQL query you converted datetime values to a numeric representation of time such as epoch time. The columns are then assigned as numeric.
You can make adjustments to these assignments. For example:
  • A numeric column might actually be an enum, which would make it a categorical column.
  • A city name might be designated categorical, but is actually a location.
To change the designation of a column:
  1. 1.
    Click the dropdown arrow next to the current type.
  2. 2.
    From the popup menu, select the type.
For columns other than numeric columns, you can designate the column as a categorical column or a location column.
Popup menu to assign a column type to a non-numeric column
For numeric columns, you can also restore the column type to numeric.
Popup menu to assign a column type to a numeric column
Last modified 4mo ago