Chart and image gallery: 30+ free tools for data visualization and analysis

November 7, 2013 03:21 PM ET The chart below originally accompanied our story 22 free tools for data visualization and analysis (April 20, 2011). We're updating it as we cover additional tools, including 8 cool tools for data analysis, visualization and presentation (March 27, 2012) and Six useful JavaScript libraries for maps, charts and other data visualizations (March 6, 2013). Features: You can sort the chart by clicking on any column header once to sort in ascending order and a second time to sort by descending (browser JavaScript required). Skill levels are represented as numbers from easiest to most difficult to learn and use: Users who are comfortable with basic spreadsheet tasks Users who are technically proficient enough not to be frightened off by spending a couple of hours learning a new applicationPower usersUsers with coding experience or specialized knowledge in a field like GIS or network analysis. Data visualization and analysis tools

Symbol Signs The complete set of 50 passenger/pedestrian symbols developed by AIGA is available for all to use, free of charge. Signs are available here in EPS and GIF formats. Additional symbol signs are available free of charge at The Noun Project. Download the complete set of Symbol Signs (ZIP archive, 377 KB) About the symbol signs This system of 50 symbol signs was designed for use at the crossroads of modern life: in airports and other transportation hubs and at large international events. Prior to this effort, numerous international, national and local organizations had devised symbols to guide passengers and pedestrians through transportation facilities and other sites of international exchange. To develop such a system, AIGA and DOT. compiled an inventory of symbol systems that had been used in various locations worldwide, from airports and train stations to the Olympic Games. AIGA Signs and Symbols Committee members: Thomas Geismar Seymour Chwast Rudolph de Harak John Lees Massimo Vignelli

RuuviTracker TimeFlow Analytical TimelineVisual timelines for investigation · FlowingMedia/TimeFlow Wiki Glorylogic - Free Software for your Photos, PDF and ISO Images The Magic and Logic of Color: How Josef Albers Revolutionized Visual Culture and the Art of Seeing by Maria Popova “A thing is never seen as it really is.” “Hundreds of people can talk, for one who can think,” John Ruskin wrote, “but thousands of people can think, for one who can see.” “We see, but we do not see: we use our eyes, but our gaze is glancing, frivolously considering its object,” Alexandra Horowitz lamented in her sublime meditation on looking. Hardly anyone has accomplished more in revolutionizing the art of seeing than German-born American artist, poet, printmaker, and educator Josef Albers, as celebrated for his iconic abstract paintings as he was for his vibrant wit and spellbinding presence as a classroom performer. Albers, who headed the legendary Black Mountain College that shaped such luminaries as Zen composer John Cage and reconstructionist Ruth Asawa, lays out the book’s beautifully fulfilled and timeless promise in the original introduction: In visual perception a color is almost never seen as it really is — as it physically is. Donating = Loving Share on Tumblr

AnswerGarden Mind Tools - Management Training, Leadership Training and Career Training Hubiquitus Learning Statistics with R | Computational Cognitive Science Lab In late 2013 I gave a one-day workshop out at CSIRO that aimed to provide a brief introduction to R for an audience who knew statistics but not R. The workshop consisted of two distinct parts, an introduction to the basic mechanics of R, followed by a fairly rapid coverage of a lot of core statistical tools in R. (There's also a bonus "Part 3" that covers a few additional topics that I'm fond of). Anyway, given that the University owns the IP associated with the workshop, and with the agreement of both CSIRO and the University, I've posted copies of all the slides, the exercises and the solution sets to the exercises. I also had the presence of mind to record screencasts of my practice talk, so there's about 5 hours of me talking about statistics linked to below! Two warnings about the videos. Part 1: Introducing R Getting Started. Part 2: Introductory Statistics in R Descriptive Statistics. Part 3: Extras Additional Statistical Tools.

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