Tools

Visualization

Data Desk

Data Desk implements traditional statistical techniques using a simple graphic display interface for data exploration. The program focuses specifically on the visual exploration of data.

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Collaboration

Data Dictionary Generator (DDG)

Aimed at the TEI editing community and intended to be run inside oXygen, the Data Dictionary Generator (DDG) generates profiles of every element and attribute appearing in a TEI file. Each entry includes a definition from the TEI Guidelines, a local, project-specific definition (if provided), and a brief snapshot of how the element or attribute is actually being used. By making it easy to compare these three things, the DDG aims to help project editors reflect on current practice within their projects and quickly create stronger encoding guidelines for their collaborators.

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Capture

Data for Research (DFR)

After creating a free account, users can submit requests for mining and analyzing JSTOR content. By submitting a query, a user will receive a random sample of 1,000 of JSTOR's 4.6 million documents; more documents can be received by contacting JSTOR directly. Users can choose to receive the following results: Citations Only (all requests come with citations by default) Word Counts Bigrams Trigrams Quadgrams Key Terms References

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Visualization

DataHero

The fastest easiest way to automate business insights. Create charts, reports, and KPI dashboards that everyone can understand. Easily share with teams and clients.

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Visualization

Data-illustrator

Data Illustrator aims to make visualization creation as easy as creating an illustration in a design tool like Adobe Experience Design or Bohemian Sketch. Visualizations are created without programming. It was created from a research collaboration between Adobe Systems Inc. and Georgia Institute of Technology.

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Visualization

Dataplot

Dataplot is a free software system for data analysis, including characterization, visualization and modelling. It was developed in FORTRAN 77, and has been in continuous development since 1978. Dataplot is well-documented, with numerous tutorials for using and extending it. In addiiton, over 30 graphic types are supported, such as histograms, box plots, scatter plots and normal probability plots. This tool is currently available in Unix, Linux, OS X and Windows versions. Dataplot is open source, but is trademarked rather than licensed.

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Datapress

Datapress is a wordpress plugin that allows you to configure beautiful data presentations for your blog entries using MIT’s Exhibit framework.

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Visualization

DataTank

The DataTank is an open source tool that publishes data, stored in text-based files (e.g., CSV, XML, JSON) or in binary structures (e.g., SHP files, relational databases). The DataTank reads data from these structures and publishes them to the web using a URI as an identifier, providing these data in any format a user wants regardless of the original data structure. The DataTank requires a server with Apache2 or Nginx, mod rewrite enabled, PHP 5.4 or higher, Git, any database supported by Laravel 4. Features Turn any dataset into a RESTful HTTP API Allows published data to be requested in any web-readable format or visualization Improves the ease, openness, and transparency of data consumption Enables data consumers to immediately begin working, without needing to download raw data files Provides visualizations for immediate data interpretation and information gathering by civilians Resources The DataTank demo Documentation GitHub

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Dataverse

The Dataverse Network is an application to publish, share, reference, extract and analyze research data. It facilitates making data available to others, and allows to replicate others work. Researchers and data authors get credit, publishers and distributors get credit, affiliated institutions get credit.

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Visualization

Datawrapper

Datawrapper is a tool built to make it easy for journalists and other content-creators to create simple charts and maps for web articles. To make a chart, you paste in your numbers and choose a chart type. We make sure that the chart you’ll embed in your article at the end is beautiful, responsive and interactive. Our charts feel at home on the web. They’re interactive, responsive and embeddable in your website. No code or design skills required. The way from data to a beautiful chart is shorter than you think. 1. Copy & Paste your data: Simply copy your data from Excel or Google Sheets. You can also upload CSV files or link to an URL for live-updating charts. 2. Visualize: Choose from many chart and map types with one click. Customize and annotate your chart to make it more effective. 3. Publish your chart: Copy the ready-to-use embed code into your CMS or website, or export the chart as an image or PDF to print it.

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