Research | Population Research Institute PRI sends research teams around the globe, to gather hard data on abuses committed against women and families. This research has been used before Congress and has been, in many cases, instrumental in the passage of pro-life laws and amendments. 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. But all maps lie. In fact, maps have to lie, otherwise they wouldn't be useful. Some are transparent and obvious lies, such as a tree icon on a map often represents more than one tree. 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. Should we legalize the killing of babies? I would hope most of you would say: No.
Hurricane Katrina Maps | Roots of Health Inequity | NACCHO Each of the five units in this online course contain educational interactives that teach a key concept of social justice as it relates to public health inequity. One of the interactives is featured below. To see others, go to the menu and click on "Preview Interactives." <object classid="clsid:D27CDB6E-AE6D-11cf-96B8-444553540000" width="860" height="580" id="NACCHOKatrina"><param name="movie" value="/interactives/katrina/naccho-katrina.swf" /><param name="quality" value="high" /><param name="bgcolor" value="#000000" /><param name="allowScriptAccess" value="sameDomain" /><param name="allowFullScreen" value="true" /><param name="FlashVars" value="data=/interactives/katrina/pages.xml"/><param name="wmode" value="transparent"/><!--[if ! This interactive can be found in Unit 4: Root Causes Hurricane Katrina: The Unnatural Disaster? The devastation caused by Hurricane Katrina was not an accident. Help Us Spread the Word Share this information on social justice and health inequity.
Reference, Facts, News - Free and Family-friendly Resources - Refdesk.com about earth a visualization of global weather conditions forecast by supercomputers updated every three hours ocean surface current estimates updated every five days ocean surface temperatures and anomaly from daily average (1981-2011) updated daily ocean waves Aerosols and Chemistry | GEOS-5 (Goddard Earth Observing System) GMAO / NASA atmospheric pressure corresponds roughly to altitude several pressure layers are meteorologically interesting they show data assuming the earth is completely smooth note: 1 hectopascal (hPa) ≡ 1 millibar (mb) 1000 hPa | 00,~100 m, near sea level conditions 700 hPa | 0~3,500 m, planetary boundary, high 10 hPa | ~26,500 m, even more stratosphere the "Surface" layer represents conditions at ground or water level this layer follows the contours of mountains, valleys, etc. overlays show another dimension of data using color some overlays are valid at a specific height while others are valid for the entire thickness of the atmosphere Wind | wind speed at specified height Temp | Peak Wave Period |
Download Free Political Documentaries And Watch Many Interesting, Controversial Free Documentary Films On That You Wont Find On The TV! :: Abbreviations and acronyms dictionary: Find definitions for over 4,219,000 abbreviations, acronyms, and initialisms A statistical graphics course and statistical graphics advice Dean Eckles writes: Some of my coworkers at Facebook and I have worked with Udacity to create an online course on exploratory data analysis, including using data visualizations in R as part of EDA.The course has now launched at so anyone can take it for free. And Kaiser Fung has reviewed it. So definitely feel free to promote it! I didn’t have a chance to look at the course so instead I responded with some generic comments about eda and visualization (in no particular order): - Think of a graph as a comparison. - For example, Tukey described EDA as the search for the unexpected (or something like that, I don’t remember the exact quote). - Consider two extreme views: (a) a graph as a pure exploration, where you bring no expectations whatsoever to the data, (b) a graph as pure execution, you know what you want to show and then you show it. - No need to cram all information onto a single graph. - I like line plots.