DH Toychest:

Digital Humanities Tutorials              (curated by Alan Liu)

 Guides to Digital Humanities | Tutorials | Tools | Examples | Data Collections & Datasets

•  General or Omnibus Technical Tutorials
• The Programming Historian 2 (" tutorial-based open access textbook designed to teach humanists practical computer programming skills that are immediately useful to real reasearch needs"; includes lessons on "Getting Started with Online Sources," "Working with Files and Web Pages," "From HTML to a List of Words," "Computing Frequencies," "Wrapping Output in HTML," "Keywords in Context (KWIC)," "Downloading Multiple Records Using Query Strings," "Automated Downloading with Wget," "Getting Started with Topic Modeling and MALLET")
• DH Tools for Beginners ("collection of tutorials written for digital humanities novices")
• M. H. Beals, "Introduction to Digital Analysis Techniques: A Workbook for History Modules" (A set of curricular modules, including how-to's and assignments, for text analysis and related work using the Library of Congress’s Chronicling America on-line newspaper database. Specific topics include: "using the Chronicling America database," "geo-visualisation," "topic modeling," reprint analysis," "discourse analysis") (direct link to the modules; PDF)
• Shawn Graham, Ian Milligan, Scott Weingart, The Historian's Macroscope - working title. Under contract with Imperial College Press. Open Draft Version (Autumn 2013)
• Michelle Moravec, "Five Steps To a Successful Digital History Project" (2014)
• Lincoln Mullen, "How to Make Prudent Choices About Your Tools" (2013)
• Miriam Posner, "How Did They Make That?" (2013) ("Many  students tell me that in order to get started with digital humanities, they’d like to have some idea of what they might do and what technical skills they might need in order to do it. Here’s a set of digital humanities projects that might help you to get a handle on the kinds of tools and technologies available for you to use")
• JISC Digital Media Guides ("Need help with using still images, sound and video for educational purposes? Explore our free digital media guides. They will take you through the process of finding, creating, managing, delivering and using digital media")
• Tech Tips and Tools for Historians of Science (tips and tools for historians of science that are also useful for other humanities scholars)
• UCLA Center for Digital Humanities, Intro to Digital Humanities (expansive resources based on Johanna Drucker and David Kim's DH 101 course at UCLA; includes concepts & readings, tutorials, exercises, student projects, and advanced topics)

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• Audio Editing Tutorials (see Audio Tools)
• JISC Guides,
• "An Introduction to Digital Audio"
• "Audio Post-Production Techniques for Spoken Word"
• "Audio Processing - Dynamics and Compression"
• "Audio/Video Production: Recording Lectures, Seminars and Events"
• "Basic Audio Editing"
• "Basic Audio Mixing"

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• Code Versioning Systems (Git + Github) Tutorials (for project development) (see Code Versioning Tools)
• TryGit, Interactive tutorial for GitHub
• Chad Black, "Getting Started with GitHub and Prose.io" (2013)
• Jack Dougherty et al., "Host and share HMTL code on the web with GitHub Pages tutorial"
• Daniel van Strien, An Introduction to Version Control Using GitHub Desktop (Programming Historian)

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• Command Line Tutorials (see Command Line Tools)
• Mac, Linux, Unix
• Ian Milligan and James Baker, Introduction to the Bash Command Line (Programming Historian)
• Windows
• Ted Dawson, Introduction to Powershell (Programming Historian)

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• Content Management Systems Tutorials (see Content Management Systems Tools)
• Joshua Beckman, "Naked Wordpress" (2013) ("commented WordPress theme" created to allow users to learn (and improvise on) the basic component .php files that create and style a WordPress site: index.php, header, footer, sidebar, home page, page, css, etc.)
• Benjamin Intal, "Proper WordPress Filesystem Permissions And Ownerships" (2014)
• Robert Mening, "How to Create a Blog" (tutorial for setting up a Wordpress blog)

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• Curation Tutorials (and Guides to Citing Datasets)
• DH Curation Guide ("a community resource guide to data curation in the digital humanities" offering "concise, expert introductions to key topics, including annotated links to important standards, articles, projects, and other resources")
  
• Joan Fragaszy Troyano, Guide to Curating Scholarship from the Open Web (2014), Parts I, II, III, IV
• Alex Ball and Monica Duke, "How to Cite Datasets and Link to Publications" (2011)

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• Digitization Tutorials
  
• Stephanie Routhier Perry, "Digitization and Digital Preservation: A Review of the Literature" (2014) (not a tutorial per se; but a useful introduction to concepts, methods, techniques for digitizing resources)

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• Linked Data Tutorials
  
• Christian Bizer, Tom Heath, and Tim Berners-Lee, "Linked Data: The Story So Far" [PDF] (2009)

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• Mapping Tutorials (see Mapping Tools)
• Geospatial Historian ("tutorial-based open access textbook . . . designed to teach humanists practical digital mapping and GIS skills that are immediately useful to real research needs")
• Institute for Enabling Geospatial Scholarship, Spatial Humanities
• "What is the Spatial Turn?"
• "Spatial Humanities: Step-By-Step"
• A Literary Atlas of Europe: Mapping and Analyzing the Geography of Fiction with Interactive Tools (articles "towards a geography of fiction")
• Spatial History Project,
• "Introduction to commonly-used spatial history tools" (2013)
• "Working with Excel [to prepare data for mapping work]" (2013)
• "Using Excel Spreadsheets in ArcGIS: helpful tips" (2013)
• "Tableau: The Basics" (2013)
• "Georeferencing Historic Maps: Going Further" (2013)
• History Blogger, "Tutorial on Juxtaposing Historical & Modern Images" (2014) (tutorial for overlaying historical photos or paintings of a location over the current Google Street View image of the same location)
• Noah Huffman, "Mapping the Broadsides Collection, or, How to Man Interactive Map in 30 Minutes or Less" (tutorial on creating a map with Google Fusion Tables) (2014)
• Brian Sarnacki, "The Complete n00b's Guide to Mapping in R" (2014)
• U. Redlands Center for Spatial Studies, "Flow and Movement" (2013) (explanation of some main types of spatial mappings, including point-to-point, networks, branching, and fields)

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• Network Analysis Tutorials (see Network Analysis/Social Network Analysis Tools) (see also Visualization: Network Visualization Tutorials)
• Marten Düring, "Social Network Analysis for Humanists Cheat Sheet" (2015)
• David K. Elson, Nicholas Dames, and Kathleen R. McKeon, "Extracting Social Networks from Literary Fiction" [PDF] (2010)
• Robert A. Hanneman and Mark Riddle, Introduction to Social Network Methods ("on-line textbook introduces many of the basics of formal approaches to the analysis of social networks")
• HistoricalNetworkResearch.org (includes bibliograpym resources)
  
• Shamanth Kumar, Fred Morstatter, and Huan Liu, Twitter Data Analytics ("This book takes a reader through the process of harnessing Twitter data to find answers to intriguing questions. We begin with an introduction to the process of collecting data through Twitter's APIs and proceed to discuss strategies for curating large datasets. We then guide the reader through the process of visualizing Twitter data with realworld examples")
• Elijah Meeks
• Instructional Tutorials and Resources from course on "Network Analysis and Visualization" (PDF) (2014)
• "Introduction to Network Analysis and Representation" (interactive tutorial in which explanations are accompanied by examples of network visualizations that can be selected on demand; "This interactive application is designed to provide an overview of various network analysis principles used for analysis and representation. It also provides a few examples of untraditional networks used in digital humanities scholarship. Finally, along with the various methods described interactively here are links to related scholarship.... Each network type is listed in the Models section, and can be paired with an analysis or representation method by simply clicking on a network type to load a new network, and then clicking on an analysis or visualization method")
• Çatalhöyük Living Archive tutorial on networks (Interactive tutorial on a trimodal network graph of people, groups, and documents network based on the analysis of a Neolithic settlement)
• Katya Ognyanova, "Network visualization with R" (2016)
• Ernesto Priego, "Some Thoughts on Why You Would Like to Archive and Share [Small] Twitter Data Sets" (2014)
• Twitter Analysis Tutorials
• Methods and Tools for Building Collections of Social Media (slides from MITH Teach-in - Researching Ferguson Session II, 2015)
• Adil Moujahid, "An Introduction to Text Mining using Twitter Streaming API and Python" (2014)

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• Programming Languages Tutorials (programming/scripting languages used to facilitate as text and data analysis, collection, preparation, etc.) (see Programming Languages Tools & Resources)
• "Basic Unix-like Command Line Tutorial" (three 9-minute video tutorials by Philip Guo) (2014)
• Python Tutorials (see Python Tools & Resources)
• Python.org
• "Python for Beginners"
• The Python Tutorial
• Audio/Video Instructional Materials for Python
• CodeAcademy, Python Tutorial
• Na-Rae Han, "Python 2.7 Tutorial"
• Elliott Hauser, "Why Python is a Great First Language" (2014)
• Folgert Karsdorp, "Python Programming for the Humanities" ("Interactive tutorial and introduction into programming with Python for the humanities")
• LearnPython.org, Tutorial on Python
• Online Python Tutorial (created by Philip Guo)
• Programming Historian, "Python Introduction and Installation" (2012)
• Stéfan Sinclair & Geoffrey Rockwell, Python for Literary Analysis (tutorial in form of iPython notebook allowing for hands-on exercises)
• Thomas Wiecki, "A modern guide to getting started with Data Science and Python" (2014)
• "R" Tutorials (see "R" Tools & Resources)
• Jonathan Callahan, Installing 'Packages' in R (2011)
• Anthony Damico, "How to Do Stuff in R: Two Minutes or Less" (video screencasts)
• DataCamp online, interactive environment for learning R
• "Andrew," "Text Mining the Complete Works of William Shakespeare" (2013) (step-by-step example of getting texts from Project Gutenberg, cleaning it, and analyzing it in R)
• Fred Gibbs, "Document Similarity with R" (2013) ("provides a skeletal recipe for reading a set of texts (a corpus) through the statistical software R")
• Matthew L. Jockers, Text Analysis with R for Students of Literature [PDF] (2013) (downloadable draft of whole book)
• Lincoln Mullen, Digital History Methods in R
• Brian Sarnacki, "The Complete n00b's Guide to Mapping in R" (2014)
• Graham Williams, "Hands-On Data Science with R Text Mining" [PDF] (2014)
• Cheat Sheet for RStudio Data Wrangling with dplyr and tidyr

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• Simulation Tutorials (see Simulation Tools)
• Michael Gavin, "Agent Based Modeling and Historical Simulation" (2013)

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• Text Analysis Tutorials (complemented by Text Preparation for Digital Work Tutorials below) (see Text Analysis Tools)
• General or Overview Text Analysis Tutorials
• Teddy Roland, Text Analysis for Humanities Research (set of tutorials in interactive iPython notebooks on using Python 3.5 and NLTK [Natural Language Toolkit])
• Intro to NLTK
• Geographic Imagination
• Literary Patterns (Probably)
• Operationalizing
• Readings
• Stéfan Sinclair, The Art of Literary Text Analysis (set of tutorials in interactive iPython notebooks).  Sections include:
• First Encounters (basics for working with iPython Notebooks and digital texts:
• Getting Setup (installing and setting up iPython Notebooks)
• Getting Started (introducing core iPython Notebooks concepts)
• Getting Texts (an example of acquiring digital texts)
• Getting NLTK (foundations for text processing using the Natural Language Toolkit)
• Getting Graphical (foundations for visualizing data)
• Close Encounters (in progress)
• Searching For Meaning (strategies for searching for word forms and word meanings, especially using WordNet)
• Parts of Speech (introduces the concept of part-of-speech tagging as an additional way of processing texts)
• Distant Encounters (in progress)
• Ted Underwood, "Where to Start with Text Mining?" (2012)
• Sue Atkins, Jeremy Clear, and Nicholas Ostler, "Corpus Design Criteria" [PDF] (1991)
• Steven Bird, Ewan Klein, and Edward Loper, Natural Language Processing: Analyzing Text with the Natural Language Toolkit (NLTK) 
• Shawn Graham, "Setting up Your Own Data Refinery" (guide to setting up local installations of Voyant Tools, Overview, and RAW to create a text-analysis workflow; especially oriented toward getting such a "data refinery" set up on a Mac computer) (2014)
• M-N. Lamy and H. J. Klarskov Mortensen, "Using Concordance Programs in the Modern Foreign Languages Classroom" (2012) (includes links to concordance programs)
• Michelle Moravec,, "How to Use Stanford's NER and Extract Results" (2014)
• Peter Organisciak and Boris Capitanu (in Programming Historian), "Text Mining in Python through the HTRC Feature Reader" (2016) )("We introduce a toolkit for working with the 13.6 million volume Extracted Features Dataset from the HathiTrust Research Center. You will learn how to peer at the words and trends of any book in the collection, while developing broadly useful Python data analysis skills")
• Geoffrey Rockwell, "Introduction to Voyant" (2016)
• Norbert Ryciak, "Text mining in R – Automatic categorization of Wikipedia articles" (2014)
• Pedagogy Toolkit tutorial with tips and examples for classroom use of Voyant Tools.
• Wheaton College, "How to Read a Dendogram" (PDF)
• Related areas:
• Concordance Program Tutorials (see Concordance Programs)
• Heather Froehlich, "Getting Started with AntConc"
• Corpus Linguistics Tutorials (see Corpus Linguistics Tools)
• Language in Conflict, "Corpus Linguistics" (brief introduction to the field and major concepts) 
• Data Science & Machine Learning Tutorials
• Trey Causey, "Getting started in Data Science: My Thoughts"
• Adam Geitgey, "Machine Learning is Fun! The world’s Easiest Introduction to Machine Learning" (2014)
• Named Entity Recognition (NER) Tutorials (see NER Tools)
• Michelle Moravec, "How to Use Stanford's NER and Extract Results" (2014)

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• Text Collation Tutorials (see Text Collation Tools)
• Wesley Raabe, "Collation in Scholarly Editing: An Introduction" (2008)
• Juxta:
• Juxta Commons User Guide
• Juxta Software User Manual
• Juxta Blog
• Jade Werner, Juxta Desktop, Juxta Commons" (2013)

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• Text Encoding Tutorials (see Text Encoding Tools)
• HTML & CSS Tutorials
• CodeAcademy, "HTML & CSS for Beginners"
• Shay Howe, "A Beginner’s Guide to HTML & CSS"
• W3Schools.com, "HTML Tutorial"
• TEI Text Encoding Tutorials
• Syd Bauman and Julia Flanders, "Resources for Teaching and Learning Text Encoding" 
• James Cummings, "The Text Encoding Initiative and the Study of Literature" (2008)
• Text Encoding Inititiative, "TEI By Example"

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• Text Preparation for Digital Work Tutorials (Text & Data "Wrangling": text harvesting, scraping, cleaning, classifying) (see Text Preparation Tools)
• Amit Agarwal, "How to Scrape Google with Google Sheets" (2014)
• Fred Gibbs, "Cleaning Bad OCR with Regular Expressions and Python" (2012)
• Shawn Graham, "A Gentle Introduction to Regular Expressions" (2015)
• Kellen Kurschinski, "Applied Archival Downloading with Wget" (2013) ("learn how to systematically download material from online archives with wget & Python")
• W. Caleb McDaniel
• "Data Mining the Internet Archive Collection" (2014) ("The collections of the Internet Archive (IA) include many digitized sources of interest to historians, including early JSTOR journal content .... In this lesson, you’ll learn how to download files from such collections using a Python module specifically designed for the Internet Archive. You will also learn how to use another Python module designed for parsing MARC XML records, a widely used standard for formatting bibliographic metadata")
• "Mining the BPL Anti-Slavery Collection on the Internet Archive" (2013) (detailed guide and examples for harvesting/downloading files and metadata from a collection in the Internet Archive)
• Greg Reda, "Useful Unix Commands for Data Science" (2013)
• Stéfan Sinclair, Getting Texts (interactive iPython notebook tutorial), part of The Art of Literary Text Analysis set of tutorials)
• Regular Expressions Tutorials
• RegExr ("online tool to learn, build, and test Regular Expressions -- RegEx / RegExp. Results update in real-time as you type. Roll over a match or expression for details. Save & share expressions with others. Explore the Library for help & example")
• "Regular Expressions Cheat Sheet" (MIT)
• Regular Expressions Primer ("tutorial for those completely new to regular expressions")
• School of Data Modules on Data Cleaning and Extraction
• Zed A. Shaw, Learning Python the Hard Way, 3rd ed. (2010)
• Stackoverflow
• "Strip HTML from strings in Python"
• "Selenium: How to get plain text from html source?"
• John Myles White, "Data Wrangling" (2013) (slides for guest lecture on bulk downloads, API access, and Web-scraping in a Columbia Univ., course on "Computational Social Science")

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• Topic Modeling Tutorials (see Topic Modeling Tools) 
  
• David M. Blei, "Topic Modeling and Digital Humanities" (2012)
• Megan R. Brett, "Topic Modeling: A Basic Introduction" (2012)
• Shawn Graham, Ian Milligan, Scott Weingart, The Historian's Macroscope - working title. Under contract with Imperial College Press. Open Draft Version (Autumn 2013):
• "On Topic Modeling"
• "Topic Modeling By Hand"
• "Topic Modeling with Paper Machines"
• "Topic Modeling with R"
• "Slicing a Topic Model" ("The Stanford Topic Modeling Toolbox allows us to ‘slice’ a model to show its evolution over time, and its contribution to the corpus as a whole")
  
• Matt Burton,"The Joy of Topic Modeling" (2013)
• Bugra Akyildiz, "Topic Modeling for the Uninitiated" (2015)
• Mallet Project Tutorials (on importing data, classification, sequence tagging, topic modeling, optimization) | See also Mallet tutorial on "Topic Modeling - Multiple Languages"
• Shawn Graham and Ian Milligan, "Review of MALLET, produced by Andrew Kachites McCallum" (2012) -- includes help resources
• "Mallet Options Grouped" 
• Shawn Graham, "Using Goldstone’s Topic Modeling R package with JSTOR’s Data for Research" (2014)
• Peter Organisciak, Step-by-step instructions for using MALLET and R to topic model a single book (2014
• Miriam Posner, "Very basic strategies for interpreting results from the Topic Modeling Tool" (2012)
• Scott Weingart, "Topic Modeling for Humanists: A Guided Tour" (2012)

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• Visualization Tutorials (see Visualization Tools)
• Data Visualization Tutorials
• General Intros to Data Viz
• Daniel Evanko, "Data Visualization" (2013) ("guide to . . . trove of practical advice on visualizing scientific data")
• Jeffrey Heer, "A Tour Through the Visualization Zoo"
• Clement Levallois, What is Dataviz? (2013)  ("A brief introduction in 7 pages to data visualization, with essential references to get you started")
• Hou Ieong Ho and Shih-Pei Chen, Visualization for Digital Humanists (modular, step-by-step lessons in creating a variety of types of data visualization created by "two computer scientists interested in helping humanists take full advantage of information technologies." Click on the images of visualization types to call up the lessons.)
• Brian Voo, "30 Cheatsheets & Infographics For Graphic Designers" (2013)
• D3.js Tutorials
• D3js.org, Overview of D3 (Data-Driven Documents)
• Dashing D3.js, D3.js Tutorial
• Scott Murray, D3 Tutorials
• Christophe Viau, D3 Tutorial
• Scott Murray, "Made with D3.js" (curated gallery of example projects made with D3.js) (2013)
• ImageJ Tutorials
• Lev Manovich, "Guide to Visualizing Video and Image Sequences" (2012)
• Palladio Tutorials
• Clare Jensen, Kaitlyn Sisk, and Aaron Braunstein, "Using Palladio to Visualize Ads" (2014) (example of using Palladio that functions as a tutorial)
• Network Visualization Tutorials (see Network Visualization Tools)
• Hawksey, Simon, "Twitter: How to Archive Event Hashtags and Create an Interactive Visualization of the Conversation" (2011)
• Clement Levallois, "Network Visualizations - How To and Why" [slides in PDF format]
• Linkurious, Graph Viz 101 (tutorial series of 10 blog posts on network graph visualization)
• Elijah Meeks and Maya Krishnan, "Introduction to Network Analysis and Representation" ("interactive application ... designed to provide an overview of various network analysis principles used for analysis and representation.... links to related scholarship")
• Lisa Rhody, "NodeXL: Social Network Analysis for Scholars" (2013) 
• Gephi Tutorials
• Par Martin Grandjean
• "Introduction to Network Visualization with GEPHI" (2013)
• "Facebook Friends Network Mapping: A Gephi Tutorial" (2013)
• Simon Hooton, "Untangling the Ridiculogram" (2014) (step-by-step tutorial for optimizing and massaging Gephi visualizations for improved comprehension)
• Clement Levallois,
• Curated List of Gephi Tutorials (2013)
• "Gephi – The Possibilities of a Data Visualization Platform" (2013)
• "Gephi: A Tutorial for Beginners" [slides in PDF format]
• "Gephi: A Tutorial to Visualize Dynamic Networks" [slides in PDF format]
• "Gephi Cheat Sheets" [PDF]
• Jill Walker Rettberg, "Tutorial: How to Explore a Network Graph of Electronic Literature in Gephi" (2013)
• Liz Shayne, "Sefaria in Gephi: Seeing Links in Jewish Literature" (2014) (report on a research project that also serves as a de facto tutorial on using Gephi for humanities work and making its visualizations more analytically useful and comprehensible)
• "willtdean", "Basic Gephi Tutorial" (video tutorial) (2013)
• Instructions for installing Gephi on a Mac computer
• Mathieu Jacomy, et al., "ForceAtlas2, a Continuous Graph Layout Algorithm for Handy Network Visualization Designed for the Gephi Software" (2014) (explanation in technical detail of the assumptions and algorithms of the Gephi ForceAtlas2 visualization layout)
• Sample Datasets for Learning Gephi
• Sample datasets for experimenting with Gephi (Northeastern U.; zip file)
• Sample datasets for experiment with Gephi (Stanford U.)
• Statistics Visualization Tutorials
• Steve Doig, "Torturing Excel into doing Statistics" [PDF] (2009)
• John Canning, Statistics for the Humanities [PDF] (2013)
• "R" (see "R" Tutorials for resources on how to use R for text mining and visualization) 
• Text Analysis Visualization Tutorials
• Stéfan Sinclair, Getting Graphical (interactive iPython notebook tutorial on foundations for visualizing data), part of The Art of Literary Text Analysis set of tutorials)

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