This page lists a resources and links to data visualization examples and tools.
Data Visualization Collections and Examples
- Information is Beautiful Award 2017 shorlist: https://www.informationisbeautifulawards.com/showcase?action=index&award=2017&controller=showcase&page=1&pcategory=short-list&type=awards
- Physical Data Visualisations: http://dataphys.org/list
- DataVizProject: Neat collection of a set of common graphs and charts.
- Chartmaker: comparative table which visualization is suppored in which tools: http://chartmaker.visualisingdata.com/
- Flowing Data: https://flowingdata.com
- Visual Complexity: http://www.visualcomplexity.com/vc
- Information is Beautiful: http://www.informationisbeautiful.net
- Visualizations in Open Processing: https://www.openprocessing.org/collection/1122
- Dear Data: http://www.dear-data.com
- Data Visualization catalogue: http://www.datavizcatalogue.com/index.html
- Information Aesthetics: http://infosthetics.com/
- Graphicacy: Brief tool overview and pointer to some visualization tools: http://graphicacy.com/contact/
- Data Viz project http://datavizproject.com
- Data visualization in Python: https://python-graph-gallery.com
- Visual Vocabulary: https://github.com/ft-interactive/chart-doctor/blob/master/visual-vocabulary/Visual-vocabulary.pdf
- Python chart types: https://python-graph-gallery.com
- Python charts in R: https://www.r-graph-gallery.com
If you have more suggestions, let us know: firstname.lastname@example.org
Data Visualization tools
This list links to free and (mostly) online tools to visualize data. Let us know if you know more.
No coding required
- Flourish: Website to support data visualization and storytelling in a variety of ways.
- Rawgraph: Simple data visualization online. Upload data, chose visual encoding, explore and export.
- PoleStar: Simple drag-and-drop generation of scatterplots and other simple charts for exploration.
- Tableau: Very sophisticated visualization tool. Free and commercial licenses available.
- Google Fusion tables: for very simple graphs, networks, and maps; supports some data cleaning and transformation (e.g., automatic recognition of location names and transformation into latitude and longitude).
- Processing: Java library providing a set of additional libraries for communicating with sensors, etc.
- Visualization in R, http://www.r-graph-gallery.com/
- Visualization in Python
- General library of python charts: https://python-graph-gallery.com
- Overview: https://blog.modeanalytics.com/python-data-visualization-libraries
- Bokeh: http://bokeh.pydata.org/en/latest
- Seaborn: https://seaborn.pydata.org
- Plotly: Interactive web-graphics with python: https://plot.ly/python
- Network visualization tools:
- Gephi: Colorful offline tool, allowing for cluster calculation.
- NodeXL: Commercial Excel plugin to convert excel tables into nodelink visualizations
- Vistorian: Open source online platform for network visualiztion, provides nodelink, matrix, map, and timeline visualization for dynamic, geographic, and multivariate networks
- Collection of network visualization tools: https://omictools.com/network-visualization-category
- Collection of network visualization tools: https://www.quora.com/What-software-exists-for-visualizing-and-analyzing-large-networks