Insert a new column at the end:

Insert the new column after the first column:

Use operator form of InsertColumns:

Take a Tabular object of numbers:

Create a vector from the column "obs" that has zero mean and unit standard deviation:

Use InsertColumns to add it to the original tabular object:

Take a Tabular object containing medical data:

Check the column types:

Note that type for some columns is not numeric, despite the columns containing numbers:

Check for numeric inputs:

It is likely the data in these two columns cannot be trusted and needs to be marked to indicate that. Use InsertColumns to convert all the column entries to Missing:

Take a Tabular object of financial time series data:

Fit an autoregressive time series model to the data:

Simulate the values:

Add the simulation column to the data:

Visualize the data and the simulation:

Take a Tabular object with monthly data given in columns:

Insert empty string columns to serve as visual dividers:

Specifying different columns for the same new key will use the last specification:

An empty second argument represents insertion of zero columns:

Use TransformColumns to append a new column to a Tabular object:

Alternatively, first compute the column and then use InsertColumns to append it:

Take a Tabular object whose columns are years and months:

TransformColumns can add a new column by constructing a date for each row:

Alternatively, first construct the column of dates and then use InsertColumns to append it:

Append a column to an anonymous Tabular object:

The same result can be achieved by joining matrices at their second level with Join:

Append several columns:

Append the same columns of the original Tabular object:

This is effectively equivalent to a transposition of the original data: