Cash Surplus/Deficit, in % of GDP, from 1990 to 2013.

core

Files Size Format Created Updated License Source
2 1MB csv zip 1 month ago ODC-PDDL-1.0
Cash Surplus/Deficit, % of GDP Repository of the data package of the Cash Surplus or Deficit, in percentage of GDP, from 1990 to 2013. Updating the package To update the current package from its source, simply run make from your terminal. It should update the package automatically, unless there read more
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Data Files

File Description Size Last changed Download Other formats
cash-surp-def [csv] 252kB cash-surp-def [csv] cash-surp-def [json] (452kB)
datapackage_zip [zip] Compressed versions of dataset. Includes normalized CSV and JSON data with original data and datapackage.json. 149kB datapackage_zip [zip]

cash-surp-def  

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

Field information

Field Name Order Type (Format) Description
Country Name 1 string
Country Code 2 string
Year 3 year
Value 4 number

datapackage_zip  

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

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Cash Surplus/Deficit, % of GDP

Repository of the data package of the Cash Surplus or Deficit, in percentage of GDP, from 1990 to 2013.

Updating the package

To update the current package from its source, simply run make from your terminal. It should update the package automatically, unless there were some changes in the source.

License

All data is licensed under the Open Data Commons Public Domain Dedication and License. All code is licensed under the MIT/BSD license.

Note that while no credit is formally required a link back or credit to Rufus Pollock and the Open Knowledge Foundation is much appreciated.

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/cash-surplus-deficit/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/cash-surplus-deficit/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/cash-surplus-deficit/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/cash-surplus-deficit/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/cash-surplus-deficit/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