After you have imported your data, parse the data.

Select the parser type (if necessary) from the drop-down Parser list. For most data parsing, H2O automatically recognizes the data type, so the default settings typically do not need to be changed. The following options are available:

• Auto
• XLS
• CSV
• SVMLight

If a separator or delimiter is used, select it from the Separator list.

Select a column header option, if applicable:

• Auto: Automatically detect header types.
• First row contains column names: Specify heading as column names.
• First row contains data: Specify heading as data. This option is selected by default.

Select any necessary additional options:

• Enable single quotes as a field quotation character: Treat single quote marks (also known as apostrophes) in the data as a character, rather than an enum. This option is not selected by default.
• Delete on done: Check this checkbox to delete the imported data after parsing. This option is selected by default.

A preview of the data displays in the “Data Preview” section.

Note: To change the column type, select the drop-down list at the top of the column and select the data type. The options are:

• Unknown
• Numeric
• Enum
• Time
• UUID
• String
• Invalid

After making your selections, click the Parse button.

After you click the Parse button, the code for the current job displays.

Since we’ve submitted a couple of jobs (data import & parse) to H2O now, let’s take a moment to learn more about jobs in H2O.