World Religion Projections

sagargg

Files Size Format Created Updated License Source
3 1MB csv zip 4 years ago 4 years ago Open Data Commons Public Domain Dedication and License PEW RESEARCH CENTER
This dataset contains the estimated religious composition of 198 countries and territories for 2010 to 2050. Data The data is sourced from PEW RESEARCH CENTER . In original dataset the number and the percentage share of followers for some religions as "<10000" and""<10%". Because of technical read more
Download Developers

Data Files

Download files in this dataset

File Description Size Last changed Download
by_rounded_percentage_share By rounded percentage share 78kB csv (78kB) , json (258kB)
by_number_of_population By number of population 110kB csv (110kB) , json (312kB)
world-religion-projections_zip Compressed versions of dataset. Includes normalized CSV and JSON data with original data and datapackage.json. 126kB zip (126kB)

By rounded percentage share [by_rounded_percentage_share]  

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

Field information

Field Name Order Type (Format) Description
Year 1 year (default)
Region 2 string (default)
Country 3 string (default)
Buddhists 4 number (default)
Christians 5 number (default)
Folk Religions 6 number (default)
Hindus 7 number (default)
Jews 8 number (default)
Muslims 9 number (default)
Other Religions 10 number (default)
Unaffiliated 11 number (default)

By number of population [by_number_of_population]  

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

Field information

Field Name Order Type (Format) Description
Year 1 year (default)
Region 2 string (default)
Country 3 string (default)
Christians 4 integer (default)
Muslims 5 integer (default)
Unaffiliated 6 integer (default)
Hindus 7 integer (default)
Buddhists 8 integer (default)
Folk Religions 9 integer (default)
Other Religions 10 integer (default)
Jews 11 integer (default)
All Religions 12 integer (default)

Integrate this dataset into your favourite tool

Use our data-cli tool designed for data wranglers:

data get https://datahub.io/sagargg/world-religion-projections
data info sagargg/world-religion-projections
tree sagargg/world-religion-projections
# Get a list of dataset's resources
curl -L -s https://datahub.io/sagargg/world-religion-projections/datapackage.json | grep path

# Get resources

curl -L https://datahub.io/sagargg/world-religion-projections/r/0.csv

curl -L https://datahub.io/sagargg/world-religion-projections/r/1.csv

curl -L https://datahub.io/sagargg/world-religion-projections/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/sagargg/world-religion-projections/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/sagargg/world-religion-projections/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/sagargg/world-religion-projections/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/sagargg/world-religion-projections/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

This dataset contains the estimated religious composition of 198 countries and territories for 2010 to 2050.

Data

The data is sourced from PEW RESEARCH CENTER . In original dataset the number and the percentage share of followers for some religions as “<10000” and""<10%". Because of technical limitations of the visualization tool, these values had to be changed into “10000”.

data/rounded_population.csv

This file contains the number followers by religions and region for 2010 to 2050

data/rounded_percentage.csv.csv

This file contains the percentage share of followers by religions and region for 2010 to 2050

License

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

Datapackage.json