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If this parameter is not supplied, a new, empty data table will be returned. All data in each column must have the same data type.

Each column has a descriptor that includes its data type, a label for that column (which might be displayed by a visualization), and an ID, which can be used to refer to a specific column (as an alternative to using column indexes). Visualizations can use these to support additional features; for example, the Table visualization uses custom properties to let you assign arbitrary class names or styles to individual cells. Cells can have a null value, or a value of the type specified by its column.

An example might be assigning the values "low" "medium", and "high" as formatted values to numeric cell values of 1, 2, and 3.

To add data rows after calling the constructor, you can call either again to reflect any changes.

Note: Google Charts does not perform any validation on datatables.

(If it did, charts would be slower to render.) If you provide a number where your column is expecting a string, or vice versa, Google Charts will do its level best to interpret the value in a way that makes sense, but will not flag mistakes.

Examples The following example demonstrates instantiating and populating a var dt = new google.visualization.

Data Table({ cols: [{id: 'task', label: 'Task', type: 'string'}, {id: 'hours', label: 'Hours per Day', type: 'number'}], rows: [{c:[{v: 'Work'}, {v: 11}]}, {c:[{v: 'Eat'}, {v: 2}]}, {c:[{v: 'Commute'}, {v: 2}]}, {c:[{v: 'Watch TV'}, {v:2}]}, {c:[{v: 'Sleep'}, {v:7, f:'7.000'}]}] }, 0.6);var data = new google.visualization.

Data Table(); Column('string', 'Task'); Column('number', 'Hours per Day'); Rows([ ['Work', 11], ['Eat', 2], ['Commute', 2], ['Watch TV', 2], ['Sleep', {v:7, f:'7.000'}] ]);Row(); // Add an empty row Row(['Hermione', new Date(1999,0,1)]); // Add a row with a string and a date value.

// Add a row with two cells, the second with a formatted value.

class and method definitions to enable autocompletion in your IDE (code editor). Most IDEs will index it automatically and provide autocompletion.

Note that this file might not always be up to date, so be sure to test your code. (optionally filtered to show specific values, rows, or columns), create a Data View.

Each column is assigned a data type, plus several optional properties including an ID, label, and pattern string.

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