{
  "csv": {
    "delimiter": ","
  },
  // Optionally define a number of rows to randomly sample down to.
  // To do it, it will hash (using FNV-1 32 bits) the column with the ID
  // in it and will mod the result by the value specified to decide if the
  // row is included or not -> include = hash(idColumn) % mod == 0
  "sampling": {
    // Number used to mod the hash of the id and determine if the row
    // has to be included in the sample or not
    "mod": 30000
    // Specify in which a column a unique ID exists on which the sampling can
    // be performed. Indices are 0 based, so this would sample on the first
    // column.
    "idColumn": 0
  },
  // An array of actions to take on each column - indices are 0 based, so index
  // 0 in this array corresponds to column 1, and so on.
  //
  // There must be an action for every column in the CSV.
  "actions": [
    {
      // The no-op, leaves the input unchanged.
      "name": "nothing"
    },
    {
      // Takes a UK format postcode (eg. W1W 8BE) and just keeps the outcode
      // (eg. W1W).
      "name": "outcode"
    },
    {
      // Hash (SHA1) the input.
      "name": "hash",
      // Optional salt that will be appened to the input.
      // If not defined, a random salt will be generated
      "salt": "salt"
    },
    {
      // Given a date, just keep the year.
      "name": "year",
      "dateConfig": {
        // Define the format of the input date here.
        "format": "YYYYmmmdd"
      }
    },
    {
      // Summarise a range of values.
      "name": "range",
      "rangeConfig": {
        "ranges": [
          // For example, this will take values between 0 and 100, and convert
          // them to the string "0-100".
          // You can use one of (gt, gte) and (lt, lte) but not both at the
          // same time.
          // You also need to define at least one of (gt, gte, lt, lte).
          {
            "gte": 0,
            "lt": 100,
            "output": "0-100"
          }
        ]
      }
    }
  ]
}