ISO 6346 Container Type Codes

core

Files Size Format Created Updated License Source
3 129kB csv zip 1 month ago ODC-PDDL-1.0 Container Container Wikipediad
ISO-Container-Codes Coded list of ISO 6346 shipping containers, used in international trade and electronic shipping messages. Source of information is from Container Container website (http://www.containercontainer.com/ISO6346.aspx) but multiple other sources of information exist on the read more
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Data Files

File Description Size Last changed Download Other formats
iso-container-codes [csv] 22kB iso-container-codes [csv] iso-container-codes [json] (68kB)
iso-container-groups [csv] 594B iso-container-groups [csv] iso-container-groups [json] (1kB)
datapackage_zip [zip] Compressed versions of dataset. Includes normalized CSV and JSON data with original data and datapackage.json. 14kB datapackage_zip [zip]

iso-container-codes  

This is a preview version. There might be more data in the original version.

Field information

Field Name Order Type (Format) Description
code 1 string A 4 digit Alpha Numeric Code uniquely describing the container as defined by ISO 6346
description 2 string Description of the Container Type
length 3 number External length in feet of the container
height 4 number External height of container in feet
group 5 string 4 Digit ISO 6346 describing the group the codes belong to, more regularly used when sending electronic shipping messages

iso-container-groups  

This is a preview version. There might be more data in the original version.

Field information

Field Name Order Type (Format) Description
code 1 string A 4 digit Alpha Numeric Code uniquely describing the container/group as defined by ISO 6346
description 2 string Description of the Container

datapackage_zip  

This is a preview version. There might be more data in the original version.

Read me

ISO-Container-Codes

Coded list of ISO 6346 shipping containers, used in international trade and electronic shipping messages.

Source of information is from Container Container website (http://www.containercontainer.com/ISO6346.aspx) but multiple other sources of information exist on the web:

Import into your tool

If you are using R here's how to get the data you want quickly loaded:

install.packages("jsonlite")
library("jsonlite")

json_file <- "http://datahub.io/core/iso-container-codes/datapackage.json"
json_data <- fromJSON(paste(readLines(json_file), collapse=""))

# access csv file by the index starting from 1
path_to_file = json_data$resources$path[1][1]
data <- read.csv(url(path_to_file))
print(data)

In order to work with Data Packages in Pandas you need to install the Frictionless Data data package library and the pandas extension:

pip install datapackage
pip install jsontableschema-pandas

To get the data run following code:

import datapackage

data_url = "http://datahub.io/core/iso-container-codes/datapackage.json"

# to load Data Package into storage
storage = datapackage.push_datapackage(data_url, 'pandas')

# data frames available (corresponding to data files in original dataset)
storage.buckets

# you can access datasets inside storage, e.g. the first one:
storage[storage.buckets[0]]

For Python, first install the `datapackage` library (all the datasets on DataHub are Data Packages):

pip install datapackage

To get Data Package into your Python environment, run following code:

from datapackage import Package

package = Package('http://datahub.io/core/iso-container-codes/datapackage.json')

# get list of resources:
resources = package.descriptor['resources']
resourceList = [resources[x]['name'] for x in range(0, len(resources))]
print(resourceList)

data = package.resources[0].read()
print(data)

If you are using JavaScript, please, follow instructions below:

Install data.js module using npm:

  $ npm install data.js

Once the package is installed, use the following code snippet:

const {Dataset} = require('data.js')

const path = 'http://datahub.io/core/iso-container-codes/datapackage.json'

// We're using self-invoking function here as we want to use async-await syntax:
(async () => {
  const dataset = await Dataset.load(path)

  // Get the first data file in this dataset
  const file = dataset.resources[0]
  // Get a raw stream
  const stream = await file.stream()
  // entire file as a buffer (be careful with large files!)
  const buffer = await file.buffer
})()

Install the datapackage library created specially for Ruby language using gem:

gem install datapackage

Now get the dataset and read the data:

require 'datapackage'

path = 'http://datahub.io/core/iso-container-codes/datapackage.json'

package = DataPackage::Package.new(path)
# So package variable contains metadata. You can see it:
puts package

# Read data itself:
resource = package.resources[0]
data = resource.read
puts data
Datapackage.json