The New York Times’ technology reporter, Steve Levitt, recently gave an extensive talk on using json schema generation to make your data richer and more useful.

He used a basic example to illustrate how this is possible, using data from a large US government database of tax returns and other information.

The data is structured like this: the key is a tax return number and the key value is the year the tax return was filed.

When I create a table that contains this information, it automatically assigns an id to it.

This can then be used in a json schema that contains the information, so that the schema will have the information for each entry in the table.

A simple example is the following: MyEntity.

MyEntity.

TaxReturns.

MyTable = {$key: ‘2016-06-04’,$value: ‘$2,000’,$year: ‘2015’} If I want to have a field with a key of $1,000, I could create a json table that has the following code: MyTable.

MyKey = ‘1,001’, MyTableColumn.

TaxReturn.

MyValue = $1 MyTableField.

TaxreturnId = $2,001 MyTableValueField.

DateOfBirth = ‘2015-06’ MyTableKeyColumn.

Value = ‘$1,002’ This is a very simple example of a json data model that is very simple and simple to understand.

Here is the JSON code from the schema generated by mysqli.

This is the schema I used: { “columns”: [ { “key”: “2016-02-02”, “value”: “$1” }, { “type”: “column”, “key_value”: “$1” } ], “fields”: [], “keys”: [ “2016” ], “values”: [ [ { “$key”: $1 } ] ], “column_types”: [ {“type”: [ string ] }, {“type”:”string”}, {“type”:””,”value”: “{$key}”} ] }