Corporate tax rates

opendatafortaxjustice

Files Size Format Created Updated License Source
2 0B csv zip 1 month ago
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Data Files

File Description Size Last changed Download Other formats
corporatetaxrates [csv] 13kB corporatetaxrates [csv] corporatetaxrates [json] (44kB)
datapackage_zip [zip] Compressed versions of dataset. Includes normalized CSV and JSON data with original data and datapackage.json. 11kB datapackage_zip [zip]

corporatetaxrates  

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

Field information

Field Name Order Type (Format) Description
LOCATION 1 string (default)
2003 2 number (default)
2004 3 number (default)
2005 4 number (default)
2006 5 number (default)
2007 6 number (default)
2008 7 number (default)
2009 8 any (default)
2010 9 any (default)
2011 10 any (default)
2012 11 any (default)
2013 12 any (default)
2014 13 any (default)
2015 14 any (default)
2016 15 any (default)
2017 16 any (default)

datapackage_zip  

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

Read me

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/opendatafortaxjustice/corporatetaxrates/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/opendatafortaxjustice/corporatetaxrates/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/opendatafortaxjustice/corporatetaxrates/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/opendatafortaxjustice/corporatetaxrates/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/opendatafortaxjustice/corporatetaxrates/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