Classification of the Functions of Government

JohnSnowLabs

Files Size Format Created Updated License Source
2 348kB csv zip 3 months ago John Snow Labs Standard License John Snow Labs United Nations
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Data Files

File Description Size Last changed Download
classification-of-the-functions-of-government-csv 86kB csv (86kB) , json (101kB)
classification-of-the-functions-of-government_zip Compressed versions of dataset. Includes normalized CSV and JSON data with original data and datapackage.json. 57kB zip (57kB)

classification-of-the-functions-of-government-csv  

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

Field information

Field Name Order Type (Format) Description
Government_Function_Code 1 string Refers to the code representing the specific or general classification of the function of government.
Function_Description 2 string Describing the specific function of government against their specific codes. In this column, the initials “CS” and “IS” follow the title of each Class in parentheses to indicate whether the services produced by general government units and included in this Class are "Collective" or "Individual Services".
Explanatory_Note 3 string The general notes explaining the difefrent functions of the government against thair particular descriptions.

Import into your tool

Data-cli or just data is the program to get and post your data with the datahub.
Use data with the datahub.io almost like you use git with the github. Here are installation instructions.

data get https://datahub.io/JohnSnowLabs/classification-of-the-functions-of-government
tree JohnSnowLabs/classification-of-the-functions-of-government
# Get a list of dataset's resources
curl -L -s https://datahub.io/JohnSnowLabs/classification-of-the-functions-of-government/datapackage.json | grep path

# Get resources

curl -L https://datahub.io/JohnSnowLabs/classification-of-the-functions-of-government/r/0.csv

curl -L https://datahub.io/JohnSnowLabs/classification-of-the-functions-of-government/r/1.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/JohnSnowLabs/classification-of-the-functions-of-government/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/JohnSnowLabs/classification-of-the-functions-of-government/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/JohnSnowLabs/classification-of-the-functions-of-government/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/JohnSnowLabs/classification-of-the-functions-of-government/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)
    }
  }
})()
Datapackage.json