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Milestones in the History of Thematic Cartography, Statistical Graphics, and Data Visualization

Milestones in the History of Thematic Cartography, Statistical Graphics, and Data Visualization
Chord diagram Gapminder Sparkline Tag cloud, Word cloud Grammar of Graphics Cartographic data visualiser Table lens Categorical data graphics Enhanced mosaic display Treemaps Xgobi, ViSta Lisp-Stat Multivariate grand tours Textured dot strips Lexis pencil Parallel coordinates plot theory Interactive maps Nested dimensions Interactive grand tours Interactive time-series Interactive linked graphics Grand tour Parallel coordinates plot Sieve diagram Graphical esthetics Brushing Visibility base map USA Today weather map Mosaic display Fisheye view Draftsman display Bifocal display Geographic correlation diagram Linked brushing S language Cartesian rectangle Committee on graphics Chartbook Circular display Scatterplot Chernoff faces Graphics versus tables scatterplot matrix Bivariate matrix Comparative graphics Social indicator chartbook Innovation Fourier series Star plot Social indicator reporting Biplot Exploratory data analysis Cathode ray tube 1st interactive system Graphical rational patterns Theory of graphic symbols Triangular glyphs

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Related:  Data-driven history / DigHumVisual LiteracyData visualisation

Simple Visualizations with D3plus I’ve been using D3, a JavaScript library for data visualizations (the three ‘D’s stand for Data-Driven Documents), for my own projects and with my students for some time. It’s a particularly cool tool for working with dynamic data or information from a database and giving it life in a visual format through charts, graphs, and interactive data displays. Information visualization can be a powerful way to represent complex or otherwise inaccessible data. However, the learning curve for it is a little high, so I’ve never recommended it as an entry tool for this type of visualization.

GeoDa on Github GeoDa Release This GeoDa 1.12 is the most current version of GeoDa with new features. We found it to be stable but if you encounter a bug, please let us know. Vintage InfoPorn No.1 My conceit, when I started making infographics, was simple. I believed this was a *new way* of expressing and visualizing information, a thoroughly modern and zeitgeisty fusion of data and design. Oh you muppet David… These infographics were created by students of American African-American activist W.E.Dubois in 1902. They’re so modern looking! RAWGraphs RAW Graphs is an open source data visualization framework built with the goal of making the visual representation of complex data easy for everyone. Primarily conceived as a tool for designers and vis geeks, RAW Graphs aims at providing a missing link between spreadsheet applications (e.g. Microsoft Excel, Apple Numbers, OpenRefine) and vector graphics editors (e.g.

Intermental Is tech creating new types of mental and emotional disorders? An increasing number of stories about internet addiction and the effect of constant device use on our minds, lives and relationships. From a culture of distraction and boot-camps for addicted teens to the “electronic apocalypse”. Recently, I finished a long, two-year stretch at a computer creating my book. Feeling the effect of such intense screen use, I took the time to observe and catalogue how it affected my mind, emotions and behaviours. The result is this ‘charticle’.

Little boxes Foto credit Would the field of data vis benefit from a clear line between art and design, as Lisa C. Rost suggests (see also the follow-up post)? The 38 best tools for data visualization Data isn't a thing that's easy for the average person to grasp. While some can look through a spreadsheet and instinctively find the information they need within a mass of figures, the rest of us need a little help, and that's where data visualisation can be a real help. For the designer, the challenge is not only in rendering a set of data in an informative way, but also in presenting it so that it that stands out from the mass of competing data streams.

Data is the Latest Medium for Creating Beautiful, Meaningful Art Although much of their artwork looks random, that’s far from reality. A growing number of “data artists” are creating conceptual work using information collected by personal data trackers, mobile apps, scientific experiments and even hand written notes. Translating that data using creative metrics and physical mediums, their works reveal patterns hidden in nature and ourselves, often revealing it through the lens of colorful sculptures or images. Some artists, like Laurie Frick, envision a world transformed and beautified by our wealth of data.

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