Gallery · mbostock/d3 Wiki Wiki ▸ Gallery Welcome to the D3 gallery! More examples are available for forking on Observable; see D3’s profile and the visualization collection. Chromogram To investigate how participants in Wikipedia allocate their time, we created a visualization technique, the Chromogram, that can display very long textual sequences through a color coding scheme. The first three letters of a string determine color in a Chromogram. The first letter determines the hue; the second letter the saturation, and the third the brightness.
Technological challenges of participatory smart cities About this course The course is a high level introduction to the constituents of the smart cities’ digital infrastructures, from the network up to the software layers. The proposed survey highlights the technical aspects to be taken into account to create practical services and to develop smarter cities involving citizen participation. Collection Follow @iconmonstr Support me ads via Carbon Basic GitHub Visualization About GitHub is one of the most popular sites for online code repositories. With a large user base GitHub generates lot of activity. This activity, in the form of commits, contains the relations between repositories and contributors. With the use of appropriate visualization techniques we can effectively map the relation between projects and contributors onto visual graphs. These graphs can reveal some interesting trends and insights that are not apparent using text and tables.
Hadoop Illuminated You probably heard the term Big Data -- it is one of the most hyped terms now. But what exactly is big data? Big Data is very large, loosely structured data set that defies traditional storage 3.2. Method: Data visualization with D3.js and python - part 1 - Next Genetics View the demo hereHTML source is at the bottom of the post Computers and the internet have changed academia in dramatic ways from greater sharing of data to a larger sense of community. Science journals are now all digitized and available online either through your web browser or downloadble as a .pdf. Even with all the technology available for presenting data, most published papers still only contain static figures.
Top Scientific Conferences and Journals in InfoVis These are the top conferences and journals in the field of information visualization. It is intended as a supplement to my advice on breaking into the InfoVis scientific community, and gives newcomers an idea of the various venues to follow and submit to beyond the eponymous IEEE InfoVis conference. Since InfoVis research spans multiple areas, I have added multiple sections for not only InfoVis and visual analytics (VA), but also human-computer interaction (HCI) as well as application areas. Furthermore, I have arranged the conferences and journals in the list below roughly in order of prominence. This ranking is based on my own opinion and not necessarily backed up by formal facts. Feedback is welcome.
Folium: Python Data. Leaflet.js Maps. — Folium 0.1.2 documentation Folium builds on the data wrangling strengths of the Python ecosystem and the mapping strengths of the Leaflet.js library. Manipulate your data in Python, then visualize it in on a Leaflet map via Folium. Concept Folium makes it easy to visualize data that’s been manipulated in Python on an interactive Leaflet map. It enables both the binding of data to a map for choropleth visualizations as well as passing Vincent/Vega visualizations as markers on the map. The library has a number of built-in tilesets from OpenStreetMap, Mapbox, and Stamen, and supports custom tilesets with Mapbox or Cloudmade API keys.