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UTS #51 Unicode Emoji

core

Files Size Format Created Updated License Source
2 183kB csv zip 1 month ago 2 hours ago Open Data Commons Public Domain Dedication and License v1.0 UTS #51 Unicode Emoji
List of emojis available from the Unicode Consortium. More information can be found in the Unicode® Technical Standard #51. Data The data comes from this directory at Unicode.org as a set of plain text files. Sources The Unicode Consortium: read more
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Data Files

Download files in this dataset

File Description Size Last changed Download
emojis 780kB csv (780kB) , json (1MB)
unicode-emojis_zip Compressed versions of dataset. Includes normalized CSV and JSON data with original data and datapackage.json. 148kB zip (148kB)

emojis  

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

Field information

Field Name Order Type (Format) Description
Group 1 string (default)
Subgroup 2 string (default)
CodePoint 3 string (default)
Status 4 string (default)
Representation 5 string (default)
Name 6 string (default)
Section 7 string (default)

Integrate this dataset into your favourite tool

Use our data-cli tool designed for data wranglers:

data get https://datahub.io/core/unicode-emojis
data info core/unicode-emojis
tree core/unicode-emojis
# Get a list of dataset's resources
curl -L -s https://datahub.io/core/unicode-emojis/datapackage.json | grep path

# Get resources

curl -L https://datahub.io/core/unicode-emojis/r/0.csv

curl -L https://datahub.io/core/unicode-emojis/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/core/unicode-emojis/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/core/unicode-emojis/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/core/unicode-emojis/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/core/unicode-emojis/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

List of emojis available from the Unicode Consortium. More information can be found in the Unicode® Technical Standard #51.

Data

The data comes from this directory at Unicode.org as a set of plain text files.

Sources

Preparation

Python 3.6+ is required. First, install dependencies with the following command:

pip install -r scripts/requirements.txt

Then, run the script from this directory in the following way:

python scripts/process.py

License

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

Copyright © 1991-2017 Unicode, Inc. All rights reserved. Distributed under the Terms of Use in http://www.unicode.org/copyright.html.

Permission is hereby granted, free of charge, to any person obtaining a copy of the Unicode data files and any associated documentation (the “Data Files”) or Unicode software and any associated documentation (the “Software”) to deal in the Data Files or Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, and/or sell copies of the Data Files or Software, and to permit persons to whom the Data Files or Software are furnished to do so, provided that either (a) this copyright and permission notice appear with all copies of the Data Files or Software, or (b) this copyright and permission notice appear in associated Documentation.

Datapackage.json

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