curl --request GET \
  --url https://api-dev.narrative.io/datasets/{dataset_id}/column-stats/{snapshot_id} \
  --header 'Authorization: Bearer <token>'

import requests

url = "https://api-dev.narrative.io/datasets/{dataset_id}/column-stats/{snapshot_id}"

headers = {"Authorization": "Bearer <token>"}

response = requests.get(url, headers=headers)

print(response.text)

const options = {method: 'GET', headers: {Authorization: 'Bearer <token>'}};

fetch('https://api-dev.narrative.io/datasets/{dataset_id}/column-stats/{snapshot_id}', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://api-dev.narrative.io/datasets/{dataset_id}/column-stats/{snapshot_id}",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "GET",
  CURLOPT_HTTPHEADER => [
    "Authorization: Bearer <token>"
  ],
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}

package main

import (
	"fmt"
	"net/http"
	"io"
)

func main() {

	url := "https://api-dev.narrative.io/datasets/{dataset_id}/column-stats/{snapshot_id}"

	req, _ := http.NewRequest("GET", url, nil)

	req.Header.Add("Authorization", "Bearer <token>")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

HttpResponse<String> response = Unirest.get("https://api-dev.narrative.io/datasets/{dataset_id}/column-stats/{snapshot_id}")
  .header("Authorization", "Bearer <token>")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api-dev.narrative.io/datasets/{dataset_id}/column-stats/{snapshot_id}")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Get.new(url)
request["Authorization"] = 'Bearer <token>'

response = http.request(request)
puts response.read_body

{
  "columns_summary": [
    {
      "name": "age",
      "type": "LONG",
      "basic_statistics": {
        "nan_value_count": null,
        "null_value_count": 0,
        "lower_bound": 22,
        "upper_bound": 52,
        "value_count": 60,
        "column_store_bytes": 655
      },
      "advanced_statistics": {
        "approx_count_distinct": 13,
        "count_distinct": null,
        "histogram": {
          "values": {
            "22": {
              "absolute": 3,
              "ratio": 0.0667
            },
            "25": {
              "absolute": 3,
              "ratio": 0.0667
            },
            "28": {
              "absolute": 9,
              "ratio": 0.2
            },
            "31": {
              "absolute": 3,
              "ratio": 0.0667
            },
            "32": {
              "absolute": 3,
              "ratio": 0.0667
            },
            "34": {
              "absolute": 3,
              "ratio": 0.0667
            },
            "36": {
              "absolute": 3,
              "ratio": 0.0667
            },
            "39": {
              "absolute": 3,
              "ratio": 0.0667
            },
            "40": {
              "absolute": 3,
              "ratio": 0.0667
            },
            "45": {
              "absolute": 3,
              "ratio": 0.0667
            },
            "47": {
              "absolute": 3,
              "ratio": 0.0667
            },
            "50": {
              "absolute": 3,
              "ratio": 0.0667
            },
            "52": {
              "absolute": 3,
              "ratio": 0.0667
            }
          },
          "number_of_bins": 13
        },
        "mean": 35.8,
        "standard_deviation": 9.064215354899726,
        "completeness": 1,
        "observed_types": null
      }
    }
  ],
  "advanced_statistics_metadata": {
    "snapshot_range": null,
    "configuration": {
      "value_histogram": {
        "columns": [
          "firstName",
          "secondName",
          "firstChars",
          "age"
        ]
      },
      "completeness": {
        "columns": [
          "firstName",
          "secondName",
          "firstChars",
          "age"
        ]
      },
      "approx_count_distinct": {
        "columns": [
          "firstChars",
          "age"
        ]
      },
      "count_distinct": {
        "columns": [
          "firstName",
          "secondName"
        ]
      },
      "observed_types_histogram": {
        "columns": [
          "firstName"
        ]
      },
      "mean": {
        "columns": [
          "age"
        ]
      },
      "deviation": {
        "columns": [
          "age"
        ]
      }
    }
  }
}