Data Visualization

Graphs and Charts

• Excel graphs - create charts and graphs suggested based on your spreadsheet structure in Excel
• Raw graphs - 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
  • WTF CSV - Analyzes each column of your CSV sheet and creates a summary card for each. Great for checking your data collection.
  • Word Counter - Upload your text to view basic counts of words and phrases
  • Same Diff - Compare two texts to reveal the words unique to each and those the two share 
  • Connect the Dots - Basic network diagram created from your spreadsheet
• Infogram - free public version that allows you to create custom infographics including charts, graphs, and maps
• Tableau - 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 - Visualize your output in R with high customizable charts and graphs
• Rcolorbrewer - great for creating color ramps beyond the defaults
• Shiny App - creates a customizable interactive dashboard for use on the web

Libraries for Python

• MatPlotLib - Data visualization library that Cretes view of your Python data
• Plotly - JavaScript library of visualization than can be used in either Python or R
• Dash - Similar to Shiny in R, Dash creates customizable, interactive dashboards
• D3 - 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 - theory, platforms and tools

Text Analysis and Cultural Analytics

• Voyant - Browser based text analysis with multiple tools that can create topic models, document analysis, and Keywords in Context among other analyses.
• Mallet - 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 - language for statistical analysis most commonly used by linguists and statisticians
•      R Studio - Free open source version of R-based environment for visual coding
• Python - Programming language increasingly becoming the defacto language for DH, humanists, and data scientists
•      Natural Language Processing (NLP) Toolkit

Interactive coding notebooks

• Spyral - Voyant tools notebook feature using JavaScript and Voyant's visualizations
• Jupyter Notebooks - interactive coding notebook that can be used with R, Python, or other coding languages
• Google Colab - collaborative coding notebook that operates like Google Docs

Network Analysis

• Connect the Dots - Basic browser based network diagram created from your spreadsheet
• Cytoscape - Originally used in molecular and systems biology, genomics, and proteomics, often used in DH to create network graphs
• Gephi - Robust open source tool for creating and analyzing network graphs

Additional information about Networks from JHU's Data Services Team.

    Network Visualization

Mapping

• History Pin  - Connect photos to a location as part of a collection 
• StoryMap JS - Knight Lab free platform that works like slides alongside a map
• ESRI StoryMap - Maps with scrolling text to create a digital story
•        Requires institutional login JHU ArcOnline
• QGIS - Free and open access platform for spatial analysis
• ArcGIS Pro - Industry standard for spatial analysis and creating map
•         Requires institutional login for JHU ArcPro and Arc Desktop download

Learn more about GIS from JHU's Data Services team.

    GIS information, frequently asked questions, access, and training.