Classification of the Functions of Government

core

Files Size Format Created Updated License Source
2 328kB csv zip 1 week ago ODC-PDDL-1.0 United Nations
Classification of the Functions of Government (COFOG) is a classification defined by the United Nations Statistics Division. Its purpose is to "classify the purpose of transactions such as outlays on final consumption expenditure, intermediate consumption, gross capital formation and capital and read more
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Data Files

File Description Size Last changed Download Other formats
cofog [csv] 86kB cofog [csv] cofog [json] (99kB)
datapackage_zip [zip] Compressed versions of dataset. Includes normalized CSV and JSON data with original data and datapackage.json. 56kB datapackage_zip [zip]

cofog  

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
Description 2 string
ExplanatoryNote 3 string
Change_date 4 date (%Y-%m-%d)

datapackage_zip  

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

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Classification of the Functions of Government (COFOG) is a classification defined by the United Nations Statistics Division. Its purpose is to “classify the purpose of transactions such as outlays on final consumption expenditure, intermediate consumption, gross capital formation and capital and current transfers, by general government” (from home page).

These functions are designed to be general enough to apply to the government of different countries. The accounts of each country in the United Nations are presented under these categories. The value of this is that the accounts of different countries can be compared.

Data

Data was sourced from the UN site (raw access database from the UN) and extracted using the scripts found in the scripts directory of the source data package. In addition to the UN site, versions of COFOG can also be found on Eurostat with one advantage of the Eurostat data being the availability of additional languages (e.g. German).

License

No license specified but factual data and extraction and normalization of the csv file has been done by the Maintainer who places the material in the Public Domain under the PDDL.

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/cofog/datapackage.json"
json_data <- fromJSON(paste(readLines(json_file), collapse=""))

# access csv file by the index starting from 1
path_to_file = json_data$resources[[1]]$path
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/cofog/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/cofog/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/cofog/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/cofog/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