Website: Visual Communication: Data Visualization

What is Data Visualization?

"Data visualization is the presentation of data in a pictorial or graphical format. It enables decision makers to see analytics presented visually, so they can grasp difficult concepts or identify new patterns. With interactive visualization, you can take the concept a step further by using technology to drill down into charts and graphs for more detail, interactively changing what data you see and how it’s processed." - SAS

Tools for Visualizing Data

Datawrapper
Create fast, easily digestible visualizations.
Leaflet
An open-source JavaScript library for mobile-friendly interactive maps.
OpenRefine
“OpenRefine (previously Google Refine) is a powerful tool for working with messy data: cleaning it; transforming it from one format into another; and extending it with web services and external data.”
Quartz chart builder
Allows you to build a line chart quickly.
TableauPublic
A free tool for visualizing data in a wide variety of design options.

R

"R is a language and environment for statistical computing and graphics." - R Project

CRAN
The Comprehensive R Archive Network
Introduction to R

Data Visualization Tips

10 Data Visualization Tips
From Canada's International Development Research Centre, an infographic with 10 tips for creating a visualization.
10 Dashboard Design Errors
10 common errors to avoid when creating a dashboard presentation.

Python

"Python is an interpreted, object-oriented, high-level programming language with dynamic semantics." - Python

Python Software Foundation
Python Tutorial
Tutorials on Python from w3schools.com
GitHub Python Repositories

Corpora

Australian National Corpus
The Australian National Corpus is a discovery service that collates and provides access to assorted examples of Australian English text, transcriptions, audio and audio-visual materials.
British National Corpus
The British National Corpus (BNC) was originally created by Oxford University press in the 1980s - early 1990s, and it contains 100 million words of text from a wide range of genres (e.g. spoken, fiction, magazines, newspapers, and academic).
Corpus of Contemporary American English
The corpus contains more than one billion words of text (25+ million words each year 1990-2019) from eight genres: spoken, fiction, popular magazines, newspapers, academic texts, and (with the update in March 2020): TV and Movies subtitles, blogs, and other web pages.
Corpus of Español
This corpus contains about two billion words of Spanish, taken from about two million web pages from 21 different Spanish-speaking countries from the past three to four years. The corpus has been funded by the US National Endowment for the Humanities, and it has allowed us to update the original Corpus del Español (2002), which was also funded by the NEH.
Corpus of Spanish in Georgia
The Corpus of Spanish in Georgia (CSG) is a collection of semi-structured interviews conducted in 2015 with members of the Latinx immigrant community in the metropolitan Atlanta area, primarily in the city of Roswell, Georgia.
Corpus of Spontaneous Japanese
The "Corpus of Spontaneous Japanese" (or CSJ) is a database containing a large collection of Japanese spoken language data and information for use in linguistic research; jointly developed by NINJAL, NICT and the Tokyo Institute of Technology, the CSJ is world-class in both the quantity and quality of the available data.
English Corpora 10 Most Widely Used
Page has links to the most widely used corpora online.
English Corpora NOW
The NOW corpus (News on the Web) contains 9.0 billion words of data from web-based newspapers and magazines from 2010 to the present time.
French Treebank
A lexcical and syntactic resource richly annotated (and validated manually) for linguists, NLP-ready.
Open Language Archives Community
This catalog, developed by the Open Language Archives Community (OLAC), provides access to a wealth of information about thousands of languages, including details of text collections, audio recordings, dictionaries, and software, sourced from dozens of digital and traditional archives. Contains a large number of languages.

D3

"D3.js is a JavaScript library for manipulating documents based on data." - D3.js

Data Driven Documents
"D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS. D3’s emphasis on web standards gives you the full capabilities of modern browsers without tying yourself to a proprietary framework, combining powerful visualization components and a data-driven approach to DOM manipulation. " (D3)