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computational.html
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<!doctype html>
<html>
<meta charset="utf-8">
<meta http-equiv="X-UA-Compatible" content="chrome=1">
<h2>➡️ Computational</h2>
<h4>Data Management</h4>
<ul>
<li>
<a href="https://create.frictionlessdata.io/">Frictionless Data Package</a> (📍✨): Creates data package (meta schema) of files.
</li>
<li>
<a href="https://goodtables.io/">Goodtables.io</a> (📍✨): Checks formatting of data. Connects to github. No coding needed.
</li>
<li>
<a href="https://openrefine.org/">Open Refine</a> (✨): Helps to clean, format data.
</li>
<li>
<a href="https://www.databasic.io/en/wtfcsv/">WTFcsv</a> (🧭✨): Can be used for first-glance into dataset.
</li>
<li>
<a href="https://www.databasic.io/en/samediff/">SameDiff</a> (🧭✨): Compares text files.
</li>
</ul>
<h4>Social Network Analysis</h4>
<ul>
<li>
<a href="https://www.databasic.io/en/connectthedots/">Connect the Dots</a> (✨🧭📍): Basic network analysis. No coding needed.
</li>
<li>
<a href="https://socnetv.org/">Social Network Visualizer</a> (✨🧭📍): User-friendly social network analysis.
</li>
<li>
<a href="https://cytoscape.org/">Cytoscape</a> (✨): Adds attribute data.
</li>
<li>
<a href="https://statnet.org/">Statnet</a> (✨🥨): R packages.
</li>
<li>
<a href="https://gephi.org/">Gephi</a> (✨): Lots of associated packages. Runs of desktop.
</li>
</ul>
<h4>Resources</h4>
<ul>
<li>
<a href="https://the-turing-way.netlify.app/">The Turing Way</a>: Open source guide to collaborative data science. Very comprehensive.
</li>
<li>
<a href="https://eehh-stanford.github.io/SNA-workshop/">Social Network Analysis for Anthropologists</a> (📍): Resources from workshop (with course material, additional resources, etc).
</li>
<li>
<a href="https://clanfear.github.io/CSSS508/">Introduction to R for Social Scientists</a>: Course material.
</li>
<li>
<a href="https://www.databasic.io/en/">Databasic.io</a>: Suite of tools to introduce people to working with data.
</li>
<li>
<a href="https://datajournalism.tools/">Datajournalism.tools</a>: Website that collects resources for data journalists.
</li>
<li>
<a href="https://blog.datawrapper.de/prepare-and-clean-up-data-for-data-visualization/">How to prepare your data for analysis and charting in Excel & Google Sheets</a>: Written by Lisa Charlotte Rost.
</li>
<li>
<a href="https://codeforscience.org/">Code for Science & Society</a>: US non-profit supporting open collaboration.
</li>
<li>
<a href="https://miriamposner.com/classes/dh201w21/tutorials-guides/">Tutorials & Guides</a>: By Miriam Posner. Tutorials on data cleaning, manipulation, data visualization, mapping, network analysis, text analysis, and web development.
</li>
<li>
<a href="http://tapor.ca/tools">TaPoR</a>: Digital humanities tools for text analysis and retrieval.
</li>
</ul>
</html>