# The Sheridan Libraries
**Source**: https://guides.library.jhu.edu/digital-humanities/tools
**Parent**: https://www.library.jhu.edu/library-services/digital-scholarship/
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# Digital Humanities
- [Home](https://guides.library.jhu.edu/digital-humanities/home)
- [DH Tools](https://guides.library.jhu.edu/digital-humanities/tools)
- [Tutorials](https://guides.library.jhu.edu/digital-humanities/tutorials)
- [Research and Funding](https://guides.library.jhu.edu/digital-humanities/research)
- [AGHI DH Workshop Series](https://guides.library.jhu.edu/c.php?g=202602&p=10897092)
## Platforms and Tools
Here are the most commonly used tools in DH listed on each tab in order of complexity from browser-based platforms on which you can cut and paste your data, to more robust tools that require specialized knowledge.
Each tab contains examples of tools specific to a research objective.
## DH Tools
- [Data Cleaning](#s-lib-ctab-31101335-0)
- [Data Visualization](#s-lib-ctab-31101335-1)
- [Text Analysis and Cultural Analytics](#s-lib-ctab-31101335-2)
- [Network Analysis](#s-lib-ctab-31101335-3)
- [Mapping](#s-lib-ctab-31101335-4)
Prepare your data for analysis:
- [WTF CSV](https://www.databasic.io/wtfcsv) - Browser-based tool that analyzes each column of your CSV sheet and creates a summary card for each. Great for checking your data collection.
- [Open Refine](https://openrefine.org) - Free and open source tool to examine, cluster, and clean your spreadsheet data.
#### Data Visualization
##### Graphs and Charts
- [Excel graphs](https://support.microsoft.com/en-us/office/create-a-chart-from-start-to-finish-0baf399e-dd61-4e18-8a73-b3fd5d5680c2) - create charts and graphs suggested based on your spreadsheet structure in Excel
- [Raw graphs](https://www.rawgraphs.io) - upload your data and choose from a variety of graphs. Ideal for teaching as it explains which ones will work with your data and why.
- [Data Basic](https://www.databasic.io/en/)
- [WTF CSV](https://www.databasic.io/wtfcsv) - Analyzes each column of your CSV sheet and creates a summary card for each. Great for checking your data collection.
- [Word Counter](https://www.databasic.io/en/wordcounter/) - Upload your text to view basic counts of words and phrases
- [Same Diff](https://www.databasic.io/en/samediff/) - Compare two texts to reveal the words unique to each and those the two share
- [Connect the Dots](https://www.databasic.io/en/connectthedots/) - Basic network diagram created from your spreadsheet
- [Infogram](https://infogram.com/?rc=paid0sem0branded0search0&utm_campaign=GS_BR_SUL_AMS_US_E_EN_Infogram&utm_medium=ppc&utm_term=infogram&utm_source=adwords&hsa_tgt=aud-845521475404:kwd-320396129236&hsa_ad=298249765908&hsa_kw=infogram&hsa_grp=45187402799&hsa_src=g&hsa_mt=e&hsa_acc=8106939973&hsa_net=adwords&hsa_cam=918194338&hsa_ver=3&gclid=Cj0KCQjwiIOmBhDjARIsAP6YhSVBRXAHwtbwGgBzETkzaGAVgjAstffakDXqiMIuYv2yZYC4nXsNGZUaAvSgEALw_wcB) - free public version that allows you to create custom infographics including charts, graphs, and maps
- [Tableau](https://www.tableau.com) - Free public version. Great for building data dashboards and running reports, may be more than is needed for a small project or creating individual graphs.
##### Packages for R
- [ggplot2](https://ggplot2.tidyverse.org) - Visualize your output in R with high customizable charts and graphs
- [Rcolorbrewer](https://colorbrewer2.org/#type=sequential&scheme=BuGn&n=3) - great for creating color ramps beyond the defaults
- [Shiny App](https://shiny.posit.co) - creates a customizable interactive dashboard for use on the web
##### Libraries for Python
- [MatPlotLib](https://matplotlib.org) - Data visualization library that Cretes view of your Python data
- [Plotly](https://plotly.com/javascript) - JavaScript library of visualization than can be used in either Python or R
- [Dash](https://pypi.org/project/dash/) - Similar to Shiny in R, Dash creates customizable, interactive dashboards
- [D3](https://d3js.org/) - JavaScript library with a plethora of options for creating data visualizations. Requires coding skill and knowledge.
Learn more about Data Viz from JHU's Data Services team.
[Data Visualization](https://guides.library.jhu.edu/datavisualization/home)- theory, platforms and tools
#### Text Analysis and Cultural Analytics
- [Voyant](https://voyant-tools.org) - Browser based text analysis with[multiple tools](https://voyant-tools.org/docs/#!/guide) that can create topic models, document analysis, and Keywords in Context among other analyses.
- [Mallet](https://mimno.github.io/Mallet/topics.html) - One of the original tools for topic modeling texts. Requires some command line knowledge and used as the basis for many proprietary text analysis tools.
- [R](https://www.r-project.org/about.html) - language for statistical analysis most commonly used by linguists and statisticians
- [R Studio](https://posit.co/products/open-source/rstudio/) - Free open source version of R-based environment for visual coding
- [Python](https://www.python.org) - Programming language increasingly becoming the defacto language for DH, humanists, and data scientists
- [Natural Language Processing (NLP) Toolkit](https://www.nltk.org)
#### Interactive coding notebooks
- [Spyral](https://voyant-tools.org/spyral) - Voyant tools notebook feature using JavaScript and Voyant's visualizations
- [Jupyter Notebooks](https://jupyter.org) - interactive coding notebook that can be used with R, Python, or other coding languages
- [Google Colab](https://colab.research.google.com) - collaborative coding notebook that operates like Google Docs
Additional information about Text Mining from JHU.
[Text Data Mining](https://guides.library.jhu.edu/c.php?g=1240337&p=9076139)
#### Network Analysis
- [Connect the Dots](https://www.databasic.io/en/connectthedots/) - Basic browser based network diagram created from your spreadsheet
- [Cytoscape](https://cytoscape.org) - Originally used in molecular and systems biology, genomics, and proteomics, often used in DH to create network graphs
- [Gephi](https://gephi.org) - Robust open source tool for creating and analyzing network graphs
Additional information about Networks from JHU's Data Services Team.
[Network Visualization](https://guides.library.jhu.edu/datavisualization/network)
#### Mapping
- [Palladio](https://hdlab.stanford.edu/palladio/) - Free online platform that creates a map, network analysis, gallery, and timeline from a single upload
- Does not save outputs. Screenshots are necessary to save the images.
- [History Pin](https://www.historypin.org/en/) - Connect photos to a location as part of a collection
- [StoryMap JS](https://storymap.knightlab.com/) - Knight Lab free platform that works like slides alongside a map
- [ESRI StoryMap](https://gisanddata.maps.arcgis.com/) - Maps with scrolling text to create a digital story
- Requires institutional login [JHU ArcOnline](ttps://gisanddata.maps.arcgis.com/)
- [QGIS](https://www.qgis.org/en/site/) - Free and open access platform for spatial analysis
- [ArcGIS Pro](https://guides.library.jhu.edu/gis/software-access) - Industry standard for spatial analysis and creating map
- Requires institutional login for [JHU ArcPro and Arc Desktop download](https://guides.library.jhu.edu/gis/software-access)
Learn more about GIS from JHU's Data Services team.
[GIS information](https://guides.library.jhu.edu/gis), frequently asked questions, access, and training.
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## Digital Publishing Platforms
[Manifold](https://manifoldapp.org/): Web-publishing platform for monographs, books, or research materials.
[Mukurtu](https://mukurtu.org): CMS built with Indigenous communities to manage and share digital cultural heritage.
[Omeka](http://omeka.org/): an open source web-publishing platform for the display of library, museum, archives, and scholarly collections and exhibitions.
[Open Humanities Press](http://openhumanitiespress.org/): publishes open access e-books.
[Public Knowledge Project](http://pkp.sfu.ca/): sponsors open source publishing environments, including [Open Journal Systems](http://pkp.sfu.ca/?q=ojs) and [Open Monograph Press](http://pkp.sfu.ca/omp).
[Scalar](http://scalar.usc.edu/scalar/): a platform for born-digital, open source, media-rich scholarly publishing.
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