OpenRefine Kimono : Turn websites into structured APIs from your browser in seconds Atlas of Prejudice | Mapping Stereotypes in a Book LaTeX appliqué aux sciences humaines La réputation de LaTeX n’est plus à faire pour ses nombreuses applications dans les domaines scientifiques. Néanmoins, on pense habituellement que l’écriture avec LaTeX est réservée aux mathématiques où aux disciplines très formelles. Pourtant, les sciences humaines ont elles aussi de tels besoins, avec d’autres exigences notamment sur le plan de la mise en forme des textes, de la gestion de la bibliographie, etc. Aujourd’hui, un livre est exclusivement consacré à l’utilisation de LaTeX dans les sciences humaines .Il est édité chez Atramenta sous licence CC-By-Sa. PrésentationPendant longtemps LaTeX n’a été utilisé que dans le domaine des sciences dites «exactes ».
7 tools for scraping - Use for datajournalism & insightful content I’ve been creating a lot of (data driven) creative content lately and one of the things I like to do is gathering as much data as I can from public sources. I even have some cases it is costing to much time to create and run database queries and my personal build PHP scraper is faster so I just wanted to share some tools that could be helpful. Just a short disclaimer: use these tools on your own risk! 1. Scraper is a simple data mining extension for Google Chrome™ that is useful for online research when you need to quickly analyze data in spreadsheet form. You can select a specific data point, a price, a rating etc and then use your browser menu: click Scrape Similar and you will get multiple options to export or copy your data to Excel or Google Docs. 2. – Click here to download the example script. 3. 4. 5. 6. 7. But on the end, building your individual project scrapers will always be more effective than using predefined scrapers. Summary Article Name Author Jan-Willem Bobbink Description
The Internet map About Morphbank :: Biological Imaging - Morphbank :: Biological Imaging Morphbank :: Biological Imaging is a continuously growing database of images that scientists use for international collaboration, research and education. Images deposited in Morphbank :: Biological Imaging document a wide variety of research including: specimen-based research in comparative anatomy, morphological phylogenetics, taxonomy and related fields focused on increasing our knowledge about biodiversity. The project receives its main funding from the Biological Databases and Informatics program of the National Science Foundation (Grant DBI-0446224). Morphbank :: Biological Imaging was established in 1998 by a Swedish-Spanish-American group of entomologists and is currently housed at the School of Computational Science (SCS) at Florida State University. The project has grown immensely since its beginnings and presently includes a team of 15 biologists, computer scientists and information scientists who are working on developing the software.
Disinformation Visualization: How to lie with datavis | Visualising Information for Advocacy By Mushon Zer-Aviv, January 31, 2014 Seeing is believing. When working with raw data we’re often encouraged to present it differently, to give it a form, to map it or visualize it. It all sounds very sinister, and indeed sometimes it is. Over the past year I’ve had a few opportunities to run Disinformation Visualization workshops, encouraging activists, designers, statisticians, analysts, researchers, technologists and artists to visualize lies. Centuries before big data, computer graphics and social media collided and gave us the datavis explosion, visualization was mostly a scientific tool for inquiry and documentation. Reproducing Lies Let’s set up some rules. We don’t spread visual lies by presenting false data. To deconstruct possible lies I suggest we use the content / structure / presentation model as three lenses through which we can analyse a graphic. Should we legalize the killing of babies? I would hope most of you would say: No. Should women have the right to their own bodies?