Is data your daily bread? Hear from data visualization experts then roll up your sleeves and get hacking on a visualization of your own and compete for prizes. Data sets provided. Or feel free to mash it up with a data set of your own.
Bio
Thomas Castro
LUST is a graphic and interactive design practice established in 1996 by Thomas Castro, Jeroen Barendse, and Dimitri Nieuwenhuizen and based in The Hague (NL). LUST projects are centered around the exploration of new pathways for design at the cutting edge, where new media and information technologies, architecture and urban systems, and graphic design and typography overlap. In 2010, LUST founded LUSTlab as a research laboratory for media and technology to develop new communication tools, man-machine installations, and physical products using digital content.
Joris Maltha
Catalogtree is a multidisciplinary design studio founded in 2001 by Daniel Gross and Joris Maltha. The studio works continuously on commissioned and self initiated design projects. The studios' guiding design tactic is FORM = BEHAVIOUR. Typography, generative graphic design and the visualisation of quantitative data are daily routines. Other recent endeavours include: D.I.Y. structured-light 3D-scanning, Bristle bot development, and the visualisation of financial tick-data.
Benjamin Wiederkehr
Interactive Things is a user experience design studio established in 2010 by Benjamin Wiederkehr, Christian Siegrist, and Jeremy Stucki. The Zurich-based team designs interactive products and information visualizations in the areas of education, finance, communication, and publishing among others. On Datavisualization.ch, they provide insight into their working process as well as document research findings and topical use cases in the field of data visualization.
Procedure that produces the answer to a question or the solution to a problem in a finite number of steps. An algorithm that produces a yes or no answer is called a decision procedure; one that leads to a solution is a computation procedure. A mathematical formula and the instructions in a computer program are examples of algorithms. Euclid's Elements (c. 300 BC) contained an algorithm for finding the greatest common divisor of two integers. Manipulation of lists (searching for, inserting, and removing items) can be done efficiently by using algorithms.
Think of that you are on your home computer at work when abruptly all of the lights go out and the pc shuts down. After a couple of seconds the power is repaired. You reboot your pc just to identify that a problems message appears. It informs you that a catastrophic mistake took place, that some very important data has actually vanished. Scenarios such as this take place all too typically the good news is that there are crucial safeguards, one of which is data recovery that are able to substantially lower their event.
Main and the most fail-safe ways of prepping data recovery are data backups. Data backup describes the copying of pc's info so that these copies might be repaired with data recovery procedure after some catastrophic occasion. Backups are useful largely for 2 functions: to repair a home computer to a functional state following an accident (likewise called catastrophe recovery), and to recover data documents after they have actually been removed or corrupted (documents or data recovery). Backups are generally the last line of defense against data loss (however even the most essential one); they need much time and subsequently are the least user-friendly to make use of. The more important the data that is saved in the pc, the higher the demand for backing up the data. Even, the possibility of having to go with the data recovery procedure boosts by having the volume of info that is kept.
Why data backup is so very important? In today's globe, details is more important than cash. And a business that loses accessibility to its vital data for beyond 48 hrs may likely be put out of company within one year. The essential need of data backup enables fast and effective data recovery which expands by having the size of the business the much larger it is, the larger the hazard of data loss.
The primary root causes of data loss might be divided into following groups:
1. Human mistakes - deletion of a documents or program by mistake, misplacement of Compact discs or floppies, mistakes in administrating data sources
3. Natural (random) occurrences - consisting of power failures, components failures, an abrupt software application crash or freeze, software application bugs
4. Acts of nature - fire, flood, tornado, earthquake etc
To prevent data loss a business need to pick the ideal data backup approach. It contains numerous actions selecting the data repository design (from unstructured to continual), best storage space media (from floppy drives to magnetic tapes), and handling the existing copies (they can be damaged throughout the exact same accident) They all have a significant impact on effective data recovery, and also on the well-being of an effective business.
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