ISO 6346 Container Type Codes

core

Files Size Format Created Updated License Source
3 173kB csv zip 7 months ago 2 months ago Open Data Commons Public Domain Dedication and License v1.0 Container Container Wikipediad
Coded list of ISO 6346 shipping containers, used in international trade and electronic shipping messages. Data 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
Download

Data Files

File Description Size Last changed Download
iso-container-codes 22kB csv (22kB) , json (68kB)
iso-container-groups 767B csv (767B) , json (2kB)
iso-container-codes_zip Compressed versions of dataset. Includes normalized CSV and JSON data with original data and datapackage.json. 15kB zip (15kB)

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

Import into your tool

Data-cli or just data is the program to get and post your data with the datahub.
Download CLI tool and use it with the datahub almost like you use git with the github:

data get https://datahub.io/core/iso-container-codes
data info core/iso-container-codes
tree core/iso-container-codes
# Get a list of dataset's resources
curl -L -s https://datahub.io/core/iso-container-codes/datapackage.json | grep path

# Get resources

curl -L https://datahub.io/core/iso-container-codes/r/0.csv

curl -L https://datahub.io/core/iso-container-codes/r/1.csv

curl -L https://datahub.io/core/iso-container-codes/r/2.zip

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

install.packages("jsonlite", repos="https://cran.rstudio.com/")
library("jsonlite")

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

# get list of all resources:
print(json_data$resources$name)

# print all tabular data(if exists any)
for(i in 1:length(json_data$resources$datahub$type)){
  if(json_data$resources$datahub$type[i]=='derived/csv'){
    path_to_file = json_data$resources$path[i]
    data <- read.csv(url(path_to_file))
    print(data)
  }
}

Note: You might need to run the script with root permissions if you are running on Linux machine

Install the Frictionless Data data package library and the pandas itself:

pip install datapackage
pip install pandas

Now you can use the datapackage in the Pandas:

import datapackage
import pandas as pd

data_url = 'https://datahub.io/core/iso-container-codes/datapackage.json'

# to load Data Package into storage
package = datapackage.Package(data_url)

# to load only tabular data
resources = package.resources
for resource in resources:
    if resource.tabular:
        data = pd.read_csv(resource.descriptor['path'])
        print (data)

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('https://datahub.io/core/iso-container-codes/datapackage.json')

# print list of all resources:
print(package.resource_names)

# print processed tabular data (if exists any)
for resource in package.resources:
    if resource.descriptor['datahub']['type'] == 'derived/csv':
        print(resource.read())

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 = 'https://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 list of all resources:
  for (const id in dataset.resources) {
    console.log(dataset.resources[id]._descriptor.name)
  }
  // get all tabular data(if exists any)
  for (const id in dataset.resources) {
    if (dataset.resources[id]._descriptor.format === "csv") {
      const file = dataset.resources[id]
      // Get a raw stream
      const stream = await file.stream()
      // entire file as a buffer (be careful with large files!)
      const buffer = await file.buffer
      // print data
      stream.pipe(process.stdout)
    }
  }
})()

Read me

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

Data

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

License

This Data Package is licensed by its maintainers under the Public Domain Dedication and License (PDDL).

Datapackage.json