Pinboard (jerryking)
https://pinboard.in/u:jerryking/public/
recent bookmarks from jerrykingA Newsroom Team That Sees Data in the Air - The New York Times2023-01-18T14:52:48+00:00
https://www.nytimes.com/2023/01/11/insider/a-newsroom-team-that-sees-data-in-the-air.html?action=click&module=Well&pgtype=Homepage§ion=Reader%20Center
jerryking>Formed last year, the Weather Data team is harnessing clouds of information to share a more comprehensive forecast with readers.<<
Weather has always been part of The Times’s coverage. Short forecasts have appeared on the front page since 1897.......As the planet continues to warm and wilder weather [i.e. = "global weirding"] becomes more frequent, The Times is expanding its weather reporting to help readers better understand extreme weather events and the threats they pose...........The work of the Weather Data team is a part of The Times’s ongoing effort to broaden the scope of its data journalism. One of the roles of data journalism..... is “to deliver a clear, **reader-oriented** display of quantitative information.” In a rapidly advancing digital age, more information has become available to the public, and journalists at The Times are using that data to clarify complex events through data-powered visual reports......“every parcel in the air is a data point.”.......Sources like the National Oceanic and Atmospheric Administration, where scientists can model advanced forecasts, are publishing more information.......As a meteorologist and a reporter, Mr. Jones said his role is “to take what scientists are doing and translating it so that it makes sense for the general public.”.......the team plans to broaden its >>data collection<< efforts so that readers can view “>>always-on<<” [i.e. = "on-demand"/"pervasiveness"] interactive tools that capture “a full stable of the weather events most likely to be happening in their region,” similar to the way the wildfire tracker page, which gathers data from land management agencies and satellite imagery from NASA to show the spread or containment of destructive fires, does.
“We are covering the major events that might affect people’s lives,” “We want to be as clear as we can in explaining to our readers when a storm is coming and what may happen to them.”
]]>charts Communicating_&_Connecting data data_collection data_journalism extreme_weather_events global_weirding infographics journalists meteorology NOAA NYT on-demand pervasiveness quantitative reader-friendly reporters visualization weather newsrooms always-onhttps://pinboard.in/https://pinboard.in/u:jerryking/b:9afca5945fb5/F1 Racing Often Comes Down to the Tires2022-10-12T16:09:25+00:00
https://www.nytimes.com/2022/10/06/sports/autoracing/f1-tires-racing.html?searchResultPosition=1
jerryking>Determining which of the three compounds, soft, medium and hard, to use and when, can turn a loser into a winner — or vice versa.<<
athletes_&_athletics charts data_driven engineering indices infographics
Formula_One racing simulations sports statistical_modelling strategy teams tires visualization ]]>Formula_One athletes_&_athletics charts data_driven engineering indices infographics racing simulations sports statistical_modelling strategy teams tireshttps://pinboard.in/https://pinboard.in/u:jerryking/b:150864e1cf7f/Opinion | We Still Can’t See American Slavery for What It Was2022-01-29T20:05:42+00:00
https://www.nytimes.com/2022/01/28/opinion/slavery-voyages-data-sets.html
jerryking>genealogists<< as it is for scholars and historians. It is also, for me, an opportunity to think about the difficult ethical questions that surround this work: How exactly do we relate to data that allows someone — anyone — to identify a specific enslaved person? How do we wield these powerful tools for >>quantitative<< analysis without abstracting the human reality away from the story? And what does it mean to study something as wicked and monstrous as the slave trade using some of the tools of the trade itself.....But no data set, no matter how precise, is complete. There are things that quantification can obscure. And there are, again, ethical questions that must be asked and answered when dealing with the >>quantitative<< study of human >>atrocity<<, which is what we’re ultimately doing when we bring statistical and mathematical methods to the study of slavery.
To think about the slave trade in terms of vessels and voyages — to look at it as columns in a spreadsheet or as points in an online animation — is to engage in an act of >>abstraction<<. Historians have no choice but to rely, as Marcus Rediker writes, on “ledgers and almanacs, balance sheets, graphs and tables.” But it carries a heavy cost, dehumanizing a reality that, he writes, “must, for moral and political reasons, be understood concretely.”
]]>African-Americans antebellum books data datasets data_driven databases digital_humanities economic_history historians history human_trafficking humanity infographics Jamelle_Bouie New_Orleans publicly_available scholars slaveholders slavery statistical_modelling W.E.B._Du_Bois abstractions atrocities genealogy quantitativehttps://pinboard.in/https://pinboard.in/u:jerryking/b:d77b8bcead3d/The Economist2021-11-02T20:17:18+00:00
https://view.e.economist.com/?qs=2e0dd61d6ae973cdb09d9c8c67975c5fa744ae824213d1183f97daa0ccf9ad3f02e7a3af6d9c66373edf219c0fb6fe98c44053172f999fe357a981ca5d2b9e297e73bbb691c87a8a17bbe59c7cc446c5
jerrykingbiases China contextual data data_journalism infographics patents perverse_incentives qualitative quantitative tips tools innovation visualizationhttps://pinboard.in/https://pinboard.in/u:jerryking/b:0faed416c432/Florence Nightingale: the pandemic hero we need2021-01-14T16:59:07+00:00
https://www.ft.com/content/02525671-44bb-4be3-b815-1bf4a767f316
jerryking19th_century argumentation books cholera comprehension contagions Covid-19 Crimea Crimean_war data disease dysentery exhibitions eye-catching Florence_Nightingale geeks herd_immunity infographics life_and_death life_expectancy medical_data museums nursing persuasion presentations prevention public_health sanitation statistics Tim_Harford visualization women heroines chief_medical_officershttps://pinboard.in/https://pinboard.in/u:jerryking/b:4208aa072eb6/The Swiss Cheese Model of Pandemic Defense2020-12-06T16:27:36+00:00
https://www.nytimes.com/2020/12/05/health/coronavirus-swiss-cheese-infection-mackay.html?surface=home-discovery-vi-prg&fellback=false&req_id=788430078&algo=identity&imp_id=834359369&action=click&module=Science%20%20Technology&pgtype=Homepage
jerrykingaviation books CDC collective_responsibilities COVID-19 cumulative dynamic expertise habits imperfections infographics medicine pandemics personal_responsibility risk-reduction safety thinking_in_layers trustworthiness viruses WHO de-risking defensive_tactics errors metaphors misinformation models multilayered vaccines bombastic non-expertshttps://pinboard.in/https://pinboard.in/u:jerryking/b:c4358fe98d83/Man vs machine - Engineers, not racers, are the true drivers of success in motor sport | Graphic detail | The Economist2020-10-16T18:43:27+00:00
https://www.economist.com/graphic-detail/2020/10/17/engineers-not-racers-are-the-true-drivers-of-success-in-motor-sport
jerrykingathletes_&_athletics charts engineering infographics Formula_One statistical_modelling data_driven sports indices visualizationhttps://pinboard.in/https://pinboard.in/u:jerryking/b:7f9c1c145e34/Race and America: why data matters2020-07-26T16:08:08+00:00
https://www.ft.com/content/156f770a-1d77-4f6b-8616-192fb58e3735
jerryking>black children<< like her were four times more likely to be suspended than white children. This was the beginning of her life as a data activist. Milner, now 30, leads an organisation called Data for Black Lives. A movement, she would call it, of scientists and activists working to make data a tool for social change. She is part of a long tradition, one that goes back 120 years to when the African-American sociologist WEB Du Bois used an arresting set of data visualisations to challenge the racist narrative of the time. “Du Bois is exactly the baton that we’ve taken up and that we’re running with,” says Milner...........To understand the historical roots of black data activism.....return to October 1899. Back then, Thomas Calloway, a clerk in the War Department, wrote to the educator Booker T Washington about his pitch for an “American Negro Exhibit” at the 1900 Exposition Universelle in Paris.......“Europeans think us a mass of rapists, ready to attack every white woman exposed, and a drug in civilized society,” Calloway wrote. “How shall we answer these slanders?” The plan was to use data, among other things, to set the record straight. The proposal was accepted and Calloway secured funding from Congress and enlisted the brightest minds of his generation. Among them was Du Bois, a man who went on to become a figure of towering significance in American politics and letters.....It is hard to overstate the importance of international fairs at the time. They were a platform to bolster the prestige of nations.....They had also become places where white supremacists could shape representations of race and culture........ For the Paris World Fair, Du Bois and a team of Atlanta University students and alumni designed and drew by hand more than 60 bold data portraits. A first set used Georgia as a case study to illustrate the progress made by African Americans since the Civil War. A second set showed how “the descendants of former African slaves now in residence in the United States of America” had become lawyers, doctors, inventors and musicians. For the first time, the growth of literacy and employment rates, the value of assets and land owned by African Americans and their growing consumer power were there for everyone to see..........As well as using the US census and reports compiled by Atlanta University, Du Bois drew **data from government reports** he had put together himself for groups such as the US Bureau of Labor. “For me, what was extraordinary about Du Bois’s data portraits is that he obtained access to the data,” says Cathy O’Neil, author of Weapons of Math Destruction, a book about the societal impact of data. “Most people who have the data are in power. And most people who are powerless do not have data.”.......To Battle-Baptiste, Du Bois’s graphics proved that statistics are not impartial. While numbers derived from applied mathematics are neutral, data is different because it originates from the real world and real people, some of whom may have vested interests or unconscious biases. “White supremacy then and now is so embedded in our language, in our information and our data that when you have black scientists and other folks of colour engaging in this, the outcome is very different,” she says...... The algorithms that drive predictive policing and facial recognition, for example, can learn to replicate and exacerbate patterns of >>unconscious bias<< that might have been in the original >>data collection<<. Coupled with other algorithms that evaluate mortgage applications and derive credit scores, as well as redlining — denying loans to low-income residents of predominantly black neighbourhoods — “a whole slew of technologies have been weaponized against black communities for so long”...... In 2018, the imprisonment rate for black men was 5.8 times that of their white counterparts. “We really root ourselves in abolition as a black radical tradition,” she says. “The contemporary movement to abolish prisons is leading on from the original revolutionary movement in this country: the fight to abolish slavery.”........We can’t write an algorithm that’s going to solve racism,” Milner says. “So we asked ourselves what it would mean to bring together software engineers, data scientists, activists of all races and really think about how we can change the cast of characters around these technological innovations.....“Du Bois knew that >>data collection<< was not serving black communities,”.....It is difficult to prove discrimination without the data to show it — and sometimes the government actively suppresses data collection. ..... “Data is not really neutral [i.e. = "false sense of objectivity"]. In fact, it’s the opposite of neutral. It’s dynamic and explosive. And it is exposing, it exposes facts that we might not want to look at. That’s why you’re seeing so much reluctance to have this information collected,” says O’Neil.
]]>19th_century activism African-Americans algorithms books Cathy_O’Neil CDC coded_bias Covid-19 data data_collection data_journalism diversity entrenched_interests exhibitions infographics mass_incarceration NAACP pandemics police_killings powerlessness public_data race racial_disparities racial_inequality reconstruction redlining scientists social_change statistics storytelling the_best_and_brightest unconscious_biases U.S. W.E.B._Du_Bois white_supremacy black_men visualization data_curiosity power_structures descendants government_data false_sense_of_objectivity black_children U.S._Census_Bureauhttps://pinboard.in/https://pinboard.in/u:jerryking/b:5046cf04c304/The Racial Wealth Gap in America: Asset Types Held by Race2020-06-17T13:28:15+00:00
https://www.visualcapitalist.com/racial-wealth-gap/
jerrykingachievement_gaps African-Americans assets asset_classes economic_inequity generational_wealth infographics misperceptions optimism racial_disparities whiteshttps://pinboard.in/https://pinboard.in/u:jerryking/b:6625ce01442b/6 Creative Ways to Present Your Market Research Data2020-05-22T03:45:26+00:00
https://insightrix.com/6-creative-present-research-data/
jerrykingdata howto innovation market_research presentations visualization best_of dashboards infographicshttps://pinboard.in/https://pinboard.in/u:jerryking/b:8c7095363b15/How to make Complicated Ideas Easy for Anyone to Understand2020-02-10T20:33:23+00:00
https://evoke.pro/articles/212/#.XkGq5FJKhPs
jerrykinganalogies clarity Communicating_&_Connecting comprehension Dyson engagement human_scale ideas James_Dyson infographics storytelling visionaries brevity concision Rebecca_Okamoto humanize know_your_audiencehttps://pinboard.in/https://pinboard.in/u:jerryking/b:6594fb0dcc85/Can contracts use pictures instead of words? | Financial Times2019-11-09T03:46:20+00:00
https://www.ft.com/content/032ddcb0-e6b1-11e9-b8e0-026e07cbe5b4
jerrykingbooks charts Communicating_&_Connecting contracts deal-making graphics infographics legal negotiations plain_English visualization comprehension aligned_interests imagery photography contingency codification communicating_effectivelyhttps://pinboard.in/https://pinboard.in/u:jerryking/b:efc252f250a8/Slave Voyages2019-07-14T17:49:33+00:00
https://www.slavevoyages.org/
jerrykingAfrica Atlantic_Ocean colonialism colonization infographics mapping slavery the_Americas Middle_Passage trans-Atlantichttps://pinboard.in/https://pinboard.in/u:jerryking/b:b1f84e56c750/Meet Amanda Cox, Who Brings Life to Data on Our Pages2019-03-03T00:11:20+00:00
https://www.nytimes.com/2019/02/28/reader-center/data-visualization-editor-amanda-cox.html?action=click&module=Well&pgtype=Homepage§ion=Reader%20Center
jerrykingcharts Communicating_&_Connecting data data_journalism infographics NYT quantitative visualization reader-friendlyhttps://pinboard.in/https://pinboard.in/u:jerryking/b:f4304491a3f2/Opinion | Paths to Power: How Every Member Got to Congress - The New York Times2019-01-27T21:22:51+00:00
https://www.nytimes.com/interactive/2019/01/26/opinion/sunday/paths-to-congress.html
jerrykingcareer_paths Congress infographics visualization owners propertied_classhttps://pinboard.in/https://pinboard.in/u:jerryking/b:51474a519e07/Infographic: How to Become Invisible on the Internet2018-12-08T18:14:09+00:00
https://www.visualcapitalist.com/how-to-be-invisible-on-the-internet/?fbclid=IwAR3V-7V8HBtNORML0_vEU2CSCeL4cqcEChxdl1wzT4ezhoFS4Me3dmO_mso
jerrykingprivacy infographics howto invisibilityhttps://pinboard.in/https://pinboard.in/u:jerryking/b:c908ff17dccd/Dump the PowerPoints and do data properly — or lose money2018-04-25T18:18:46+00:00
https://www.ft.com/content/fcb89bda-37fd-11e8-b161-65936015ebc3
jerryking>data literacy<< to the board — will inevitably stand a better chance of achieving long-term change.....The truth is that data in the boardroom enjoys a patchy reputation, typified by dull, overlong PowerPoint presentations.[i.e. = "death by PowerPoint"] A cynic might suggest that even the most recent addition to boardroom structures — the >>chief data officer<< — is used by many boards simply as a device to prevent other members needing to worry about the numbers.
Here are 3 techniques that can be used to encourage progressive change in the boardroom.
(1) Use KPIs that are meaningful and appropriate for answering the central questions about the business and the market it operates in. Try to eliminate “inertia metrics” — i.e. “we report this because we always do”.
(2) Rework boardroom materials so that they encourage board members to read data, preferably in advance of meetings, rather than glance at it during one. This might mean transforming the dreaded PowerPoint deck into something a little more journalistic, a move that will help engage “System 2” thinking.
(3) Above all, be aware of >>unconscious bias<< in the boardroom and focus on debunking it. Most of us are poor intuitive statisticians with biases that lurk deep in our “System 1” view of the world. There is insight, value and >>memorability<< in the surprise that comes with highlighting our own ignorance [i.e. acknowledging that we might be a "blank slate" in a given domain] — so use data to shine a light on surprising trends, not to simply reinforce that which is already known.
]]>boards_&_directors_&_governance change data data_driven absenteeism Communicating_&_Connecting PowerPoint change_agents KPIs Daniel_Kahneman insights surprises gut_feelings storytelling psychologists infographics visualization data_journalism find_questions_that_make_the_world_interesting first-order instinctual_responses thinking_in_layers second-level_thinking inertia_metrics chief_data_office data_literacy memorableness death_by_PowerPoint blank_slate unconscious_biaseshttps://pinboard.in/https://pinboard.in/u:jerryking/b:823df6d0c188/Whites Have Huge Wealth Edge Over Blacks (but Don’t Know It) - The New York Times2017-09-19T17:15:25+00:00
https://www.nytimes.com/interactive/2017/09/18/upshot/black-white-wealth-gap-perceptions.html?rref=collection%2Fsectioncollection%2Fupshot
jerryking>uncomfortable<< for both blacks who’ve been harmed by that unfairness and whites who’ve benefited from it......If we want people to have a better understanding of racial inequality, this implies that the solution isn’t simply to parrot these statistics more widely. It’s to get Americans thinking more about the forces that underlie them, like continued discrimination in hiring, or disparities in >>mortgage lending<<.
It’s a myth that racial progress is inevitable, Ms. Richeson said. “But it’s also dangerous insofar as it keeps us blind to considerable inequality in our nation that’s quite >>foundational<<,” she said. “Of course we can’t address it if we’re not even willing to acknowledge it.”[i.e. = "denial"/"in denial"]
And if we’re not willing to acknowledge it, she adds, that has direct consequences for whether Americans are willing to support >>affirmative action<< policies, or continued enforcement of the >>Voting Rights Act<<, or renewed efforts at >>school desegregation<<......
]]>achievement_gaps generational_wealth African-Americans optimism whites racial_disparities infographics white_privilege misperceptions economic_inequity Voting_Rights_Act racial_progress affirmative_action denials desegregation foundational mortgage_lending uncomfortable_truthshttps://pinboard.in/https://pinboard.in/u:jerryking/b:f59a6c55f8e4/2017 Design Resolution: Let’s Reclaim The Infographic2017-04-25T15:29:48+00:00
https://www.psfk.com/2017/02/ashley-brenner-creative-director-imprint-sullivan-2017-design-resolution-lets-reclaim-infographic.html
jerrykinginfographics data designhttps://pinboard.in/https://pinboard.in/u:jerryking/b:791c58b31091/40 Acres and a Mule Would Be at Least $6.4 Trillion Today—What the U.S. Really Owes Black America by Tracy Loeffelholz Dunn and Jeff Neumann — YES! Magazine2017-03-05T03:05:03+00:00
http://www.yesmagazine.org/issues/make-it-right/infographic-40-acres-and-a-mule-would-be-at-least-64-trillion-today
jerrykingreparations race slavery African-Americans generational_wealth racism racial_disparities infographicshttps://pinboard.in/https://pinboard.in/u:jerryking/b:793504cf7986/Edward Tufte: Courses2017-01-04T13:14:44+00:00
https://www.edwardtufte.com/tufte/courses
jerrykingtraining design classes Edward_Tufte presentations data infographics visualizationhttps://pinboard.in/https://pinboard.in/u:jerryking/b:0af94a3b4508/Added value: How Harvard Business Review thinks it can add subscribers while getting more expensive » Nieman Journalism Lab2015-07-15T15:16:12+00:00
http://www.niemanlab.org/2015/07/added-value-how-harvard-business-review-thinks-it-can-add-subscribers-while-getting-more-expensive/
jerrykingmedia journalism text HBR via:mayonissen magazines digital_archives concierge_services business_models personalization visualization infographics reboot digital_media archiveshttps://pinboard.in/u:jerryking/b:bc27207dbbbd/1.5 Million Missing Black Men - NYTimes.com2015-04-21T11:44:04+00:00
http://www.nytimes.com/interactive/2015/04/20/upshot/missing-black-men.html?_r=0&abt=0002&abg=0
jerrykingAfrican-Americans men racial_disparities gender_gap family_breakdown dysfunction infographics visualization sentencing prisons black_men mass_incarcerationhttps://pinboard.in/https://pinboard.in/u:jerryking/b:d0c959e99090/Learning to See Data - NYTimes.com2015-03-29T04:51:55+00:00
http://www.nytimes.com/2015/03/29/sunday-review/learning-to-see-data.html?ref=opinion
jerrykingvisualization infographics data howto massive_data_sets Communicating_&_Connecting learning_to_seehttps://pinboard.in/https://pinboard.in/u:jerryking/b:da9e509fdec3/Harvey Balls2015-02-27T18:58:01+00:00
https://docs.google.com/document/d/1bINaCfZ70mJd-5GF9Gw5GH0ROOPHMI21J119ydEpovc/edit
jerrykingcompetitive_landscape presentations analysis infographics visualizationhttps://pinboard.in/https://pinboard.in/u:jerryking/b:33b41b7402ed/Infographic: McAfee Labs 2015 Threats Predictions | McAfee2014-12-25T17:03:23+00:00
http://www.mcafee.com/de/security-awareness/articles/mcafee-labs-threats-predictions-2015.aspx
jerrykingthreats cyber_security predictions infographicshttps://pinboard.in/https://pinboard.in/u:jerryking/b:b3a9448e3b0d/From Russia...without love - Google Docs2014-09-28T18:56:50+00:00
https://docs.google.com/document/d/1x-yr8VVtmJCuRZx6R0lLUkKQJ2ZwS0bABWoinCcwwg4/edit
jerrykinginfographics Russia Crimea Dmitry_Medvedev exporting importing international_trade embargoeshttps://pinboard.in/https://pinboard.in/u:jerryking/b:99703eb18873/patrickcain.ca | Telling stories with maps and interactives2014-09-06T02:30:09+00:00
http://www.patrickcain.ca/
jerrykingblogs infographics visualizationhttps://pinboard.in/https://pinboard.in/u:jerryking/b:7c368dd898d1/How the Democrats Can Avoid Going Down in the 2014 Midterm Election2014-08-03T08:47:49+00:00
http://www.newrepublic.com/article/117520/how-democrats-can-avoid-going-down-2014-midterm-election
jerrykingDemocrats elections midterms infographics Newt_Gingrichhttps://pinboard.in/https://pinboard.in/u:jerryking/b:c24a7c02f337/Compliance Infographic2014-07-17T17:34:17+00:00
http://www.slideshare.net/ashleysmithdell/compliance-infographic
jerrykingtraceability fresh_produce compliance food_safety Waudware infographicshttps://pinboard.in/https://pinboard.in/u:jerryking/b:90cd2edd1d46/10 Tools for Creating Infographics and Visualizations - Moz2014-04-17T15:24:19+00:00
http://moz.com/blog/10-tools-for-creating-infographics-visualizations
jerrykingdesign infographics visualizationhttps://pinboard.in/https://pinboard.in/u:jerryking/b:a7f660f11fa1/Jer Thorp, Data Artist Information, Facts, News, Photos -- National Geographic2014-02-04T07:56:34+00:00
http://www.nationalgeographic.com/explorers/bios/jer-thorp/
jerrykingvisualization infographics massive_data_sets artistshttps://pinboard.in/https://pinboard.in/u:jerryking/b:019637038b78/A Makeover for Maps - NYTimes.com2014-01-15T05:23:39+00:00
http://bits.blogs.nytimes.com/2014/01/06/a-makeover-for-maps/
jerrykinginfographics design data visualization mapping charts ClearStory GE Communicating_&_Connecting animation fast-changing fast-paced data_driven real-time comprehension dynamic information-gathering Quentin_Hardyhttps://pinboard.in/https://pinboard.in/u:jerryking/b:61eef93a9540/Advice to Start-ups: Stack the Deck | Inc.com2013-10-12T03:41:21+00:00
http://www.inc.com/magazine/201310/eric-paley/writing-advice-for-start-ups-and-entrepreneurs.html-
jerryking>concise<< narrative slide deck]]>Communicating_&_Connecting presentations howto start_ups visualization infographics concision storytelling compellingness death_by_powerpoint PowerPointhttps://pinboard.in/https://pinboard.in/u:jerryking/b:063a6f1a3899/Chinese Village's Disillusion Shows Limits of Liberalization - WSJ.com2013-08-18T03:33:21+00:00
http://online.wsj.com/article/SB10001424127887324073504578106164215405612.html?cb=logged0.18478047462211522#project%3DCHINAPARTY1112%26articleTabs%3Dinteractive
jerrykingChina leadership infographics disillusionedhttps://pinboard.in/https://pinboard.in/u:jerryking/b:4a9c02604d59/How Does 3-D Printing Work? - WSJ.com2013-06-14T09:48:07+00:00
http://online.wsj.com/article/SB10001424127887323716304578483062211388072.html?mod=hp_jrmodule
jerrykinginfographics 3-D manufacturers howtohttps://pinboard.in/https://pinboard.in/u:jerryking/b:2c9d6b62db6b/Working With Big Data: The New Math - WSJ.com2013-03-12T14:56:34+00:00
http://online.wsj.com/article/SB10001424127887323452204578288264046780392.html
jerryking>online discussions<< about the circuits. It then pinpointed two or three people whom traffic patterns showed were at the center of the conversation.[i.e. = "traffic analysis"]
Tellagence's customer then devised a strategy to approach the engineers and potentially benefit from their ideas.
Says Tellagence CEO Matt Hixson, "We love to talk about people who have followers or friends, but these engineers were none of that—they had the right set of relationships because the right people listened to them."
]]>massive_data_sets mathematics visualization infographics sense-making esoteric Ayasdi DARPA patterns tools algorithms IBM mapping Nebula networks Tellagence topology the_right_people traffic_analysis online_discussion_forumshttps://pinboard.in/https://pinboard.in/u:jerryking/b:ac5379c2db42/The Canadian Food Retail Sector:Opportunities for Swiss Companies2013-02-27T21:32:59+00:00
http://www.osec.ch/sites/default/files/bbf_Canada_FoodRetail_Feb2011.pdf
jerrykingcompetitive_landscape fresh_produce Canada retailers food Canadian statistics infographics Loblaws trendshttps://pinboard.in/https://pinboard.in/u:jerryking/b:513ec878d023/Profile of the Data Journalist: The Storyteller and The Teacher2013-02-12T16:21:55+00:00
http://feedproxy.google.com/~r/oreilly/radar/atom/~3/oUP6Jw_gJLo/profile-of-the-data-journalist-8.html
jerrykingGov_2.0 via:rahuldave narratives sense-making unstructured_data data_driven data_journalism infographics show_your_work data data_products data_scientists investigative_journalism publishing visualizationhttps://pinboard.in/u:jerryking/b:93d50ec9d000/Vision Statement: How People Really Use Mobile2013-02-09T14:41:02+00:00
http://hbr.org/2013/01/how-people-really-use-mobile/ar/1
jerrykingmobile mobile_phones howto HBR visualization infographics visionhttps://pinboard.in/https://pinboard.in/u:jerryking/b:144ffa9da8f6/Marketing: Why Data Visualization Is Important for a Brand | DigitalNext: A Blog on Emerging Media and Technology - Advertising Age2013-02-02T00:49:18+00:00
http://adage.com/article/digitalnext/marketing-data-visualization-important-a-brand/145345/
jerrykingdata visualization branding data_driven massive_data_sets infographicshttps://pinboard.in/https://pinboard.in/u:jerryking/b:f186fd4d0513/Hairball2013-01-11T17:18:11+00:00
http://www.magazine.utoronto.ca/leading-edge/hairball-infoball-brenda-andrews/
jerrykingvisualization networks infographicshttps://pinboard.in/https://pinboard.in/u:jerryking/b:590683dad8ba/The Environmental Impact Of Wasted Food | Co.Exist: World changing ideas and innovation2013-01-02T12:52:38+00:00
http://www.fastcoexist.com/1680494/the-environmental-impact-of-wasted-food
jerryking>greenhouse gas<<. Food accounts for 25% of methane produced from landfills, which emit 20% of methane overall. ]]>environment infographics visualization statistics food_waste GHGhttps://pinboard.in/https://pinboard.in/u:jerryking/b:8b40c529f529/Visual Analytics2012-12-29T06:48:35+00:00
https://docs.google.com/file/d/0B8QqaQt_ecJlREpTRmpCMEVBQWs/edit
jerrykingvisualization massive_data_sets CBSA crossborder data borders infographics real-time historical_datahttps://pinboard.in/https://pinboard.in/u:jerryking/b:3d8db5233c3b/Airborne Wi-Fi2012-11-23T17:42:56+00:00
https://docs.google.com/document/d/1o1LyrvIHA9UprgULVVZ1Kbe7NPUvBZEBWDEszuOzm7Q/edit
jerrykinginfographics wi-fi airline_industry satelliteshttps://pinboard.in/https://pinboard.in/u:jerryking/b:a63b9e42cef4/Seeing data in a whole new light2012-10-18T15:24:20+00:00
http://www.marsdd.com/2012/10/04/seeing-data-in-a-whole-new-light/
jerrykingvisualization massive_data_sets infographicshttps://pinboard.in/https://pinboard.in/u:jerryking/b:77bafda6909e/RARE EARTH ELEMENTS SET TO BECOME RARER2012-10-02T12:15:33+00:00
https://docs.google.com/document/d/1RAgW2LxfweXUdurdPPu0_QItG6xb4s3VDTuR8oLGG68/edit
jerrykingrare_earth_metals scarcity China Geoffrey_York infographics shortageshttps://pinboard.in/https://pinboard.in/u:jerryking/b:6048e9dd2ab4/RARE EARTH ELEMENTS 1012012-10-02T11:58:19+00:00
http://www.iamgold.com/Theme/IAmGold/files/REE101_April_2012.pdf
jerrykingrare_earth_metals infographicshttps://pinboard.in/https://pinboard.in/u:jerryking/b:36c3c93cc20e/DATA VISUALIZATION— HOW TO POSITION YOUR COMPANY IN DIGITAL MARKETING2012-09-26T20:06:55+00:00
http://ffctn.com/doc/ffunction-data_visualization-2010.pdf
jerrykingmarketing visualization howto infographics digital_economy Nike Sprint social_media GE NASA Communicating_&_Connecting data massive_data_sets brandinghttps://pinboard.in/https://pinboard.in/u:jerryking/b:54e2c1ccde7f/Traditional due diligence process & vendor-controlled auctions2012-08-24T13:18:31+00:00
https://docs.google.com/document/d/1BXeemOvEJrmj310XvqeW5ETCqVLVW2Tx-mHZDVN8_H4/edit
jerrykingauctions due_diligence infographicshttps://pinboard.in/https://pinboard.in/u:jerryking/b:ef89102269a2/Constant Vigilance - TIME2012-08-19T10:18:34+00:00
http://www.time.com/time/interactive/0,31813,2075184,00.html
jerrykingcancers infographics deathshttps://pinboard.in/https://pinboard.in/u:jerryking/b:9b5ad86e55e2/Terms of Service in New York Restaurants - Graphic - NYTimes.com2012-08-08T11:18:07+00:00
http://www.nytimes.com/interactive/2012/08/06/opinion/06schott-terms-of-service-restaurants.html?ref=style
jerrykingNew_York_City restaurants infographicshttps://pinboard.in/https://pinboard.in/u:jerryking/b:80f81b82ad81/Where are Toronto's murders happening? Graphic: Mapping homicide in Toronto2012-06-04T14:00:31+00:00
http://news.nationalpost.com/2012/02/24/graphic-where-are-torontos-murders-happening/
jerrykingToronto killings mapping infographics visualization criminality murdershttps://pinboard.in/https://pinboard.in/u:jerryking/b:a2720d6fd08a/Armed With Data, Fighting More Than Crime - NYTimes.com2012-05-03T09:24:08+00:00
http://opinionator.blogs.nytimes.com/2012/05/02/armed-with-data-fighting-more-than-crime/
jerryking>CompStat<< to other government business, mayors for the last decade have used a CompStat-style system to run the whole city. >>CitiStat<< has greatly improved how the city does the meat-and-potatoes of government: picking up trash, filling potholes...CompStat is popularly seen as a high-tech way of sticking pins in a map. It is much more than that. It starts with collecting data, analyzing it and presenting it in visual form — whether with pins on a map, bar graphs or other charts.
But the key to CompStat is how the data gets used...its principles are as follows:
are these:
Accurate, timely intelligence
Rapid deployment
Effective tactics
Relentless follow-up and assessment
...a list potential indicators: Look at this playground — these basketball hoops have no nets. What other parks have no nets? What hours is this rec center open? Are they the same hours as peak time for juvenile violence?]]>CompStat massive_data_sets New_York_City policing Baltimore data cities data_collection data_driven indicators patterns visualization crime-fighting assessments_&_evaluations following_up infographics municipalities scorecards CitiStat local_governmentshttps://pinboard.in/https://pinboard.in/u:jerryking/b:0d3cb07b973b/Producing Scientific American Infographics in the Era of “Big Data” | @ScientificAmerican, Scientific American Blog Network2012-05-01T21:04:14+00:00
http://blogs.scientificamerican.com/at-scientific-american/2012/04/03/producing-scientific-american-infographics-in-the-era-of-big-data/
jerrykinginfographics massive_data_setshttps://pinboard.in/https://pinboard.in/u:jerryking/b:9d01b2cd18e7/The Art of Data Visualization | Marvels - WSJ.com2012-04-08T17:57:41+00:00
http://online.wsj.com/article/SB10001424052702303299604577323743008395060.html?mod=WeekendHeader_Right
jerrykinginfographics visualization datahttps://pinboard.in/https://pinboard.in/u:jerryking/b:351266a1db5e/Michael Witmore | Folger Shakespeare Library | Shakespeare in the Digital Age | Cultural Conversation by Joel Henning - WSJ.com2012-03-29T00:58:57+00:00
http://online.wsj.com/article/SB10001424052970204795304577221543266959340.html?mod=WSJ_Leisure%26Arts_MIDDLEFeatures
jerrykinghumanities literature William_Shakespeare Colleges_&_Universities tools digital_media visualization infographics digital_archives digital_humanitieshttps://pinboard.in/https://pinboard.in/u:jerryking/b:d41531da45e4/An Infographic about the Online Advertising Landscape2011-09-22T00:52:03+00:00
http://www.adexchanger.com/wp-content/uploads/2010/09/LUMA-Display-Ad-Tech-Landscape-for-AdExchanger.jpg
jerrykingadvertising value_chains digital_media ecosystems competitive_landscape online_advertising infographicshttps://pinboard.in/u:jerryking/b:a6e8513d96f1/Reinventing business research | timetric.com2011-07-04T18:17:40+00:00
http://timetric.com/
jerrykingDaaS visualization infographics statistics data tools charts analytics web analysis Freshbooks value_propositions JCK market_research reinvention public_datahttps://pinboard.in/u:jerryking/b:1eaac2466af4/Phone-Call Cartography - NYTimes.com2011-07-04T08:33:37+00:00
http://www.nytimes.com/2011/07/03/sunday-review/03phone-map.html?ref=opinion
jerrykingdata statistics visualization infographics telecommunications cartography MIT SENSEable mappinghttps://pinboard.in/u:jerryking/b:42556ebce15f/Interactive Trend Chart - Checkbox2011-06-27T07:19:12+00:00
http://processtrends.com/pg_interactive_chart_checkboxes.htm
jerrykingFreshbooks charts interactivity howto trends visualization infographics datahttps://pinboard.in/u:jerryking/b:9b21e2c7efc9/Don’t discard the librarians2011-05-22T17:50:32+00:00
https://www.theglobeandmail.com/opinion/dont-discard-the-librarians/article4263121/
jerryking>Physical libraries<< and actual flesh-and-blood librarians seem to be more necessary than ever.
**The knowledge concierge**
Here is the case for human librarians: You, the information consumer, don't want to go insane.
Human knowledge is now thought to >>double<< every five years.[i.e. "commoditization of information"/ "compounding knowledge "/"information overload"] The need for a guide through that morass, for a knowledge concierge [i.e. someone who can be "interpretative"]., as even Mr. Godin admits, is critical.....We know a lot these days; we just don't know where we learned it. "The source of information you're using, the evaluation of that source, how you use it, how you respect it and cite it - that's all what we call informational literacy,"[i.e. = "infoliteracy"]......................."People have always had the idea of bringing all human knowledge together,"[i.e. = "encyclopedias"]..... It was the end of our chat; "If they could figure out how to do it, and if they could afford it. That's what the ancient library at Alexandria was all about."
A motto is said to have been inscribed on its wall: the place of the cure of the soul. According to one theory, Julius Caesar burned it to the ground by accident, when he set the Egyptian fleet alight. He was trying to destroy what he thought was an enemy.]]>libraries Ian_Brown future Seth_Godin IT mapping visualization infographics TPL uToronto provenance physical_place school_boards Wikipedia Windsor information_overload interpretative compounding_knowledge infoliteracy doubling reinvention commoditization_of_information personal_connections human_factor sherpas curatorshttps://pinboard.in/u:jerryking/b:eb7e0c2f8a14/Data visualization primer: What they are and why they're ...2011-05-12T14:33:35+00:00
http://answers.oreilly.com/topic/1581-data-visualization-primer-what-they-are-and-why-theyre-important/
jerrykingdesign data visualization infographics primershttps://pinboard.in/u:jerryking/b:ef7499d00225/The Art of Economic Complexity2011-05-11T21:43:12+00:00
http://www.nytimes.com/interactive/2011/05/15/magazine/art-of-economic-complexity.html?ref=magazine
jerryking>nodes<< represent industries that offer promising prospects for growth..........economies change in structure over time, moving from simpler goods to **scarcer, more valuable ones**. Countries rarely make radical structural changes. Instead, they generate capabilities gradually, and new industries usually develop from existing ones. Unfortunately, some industries — oil extraction, say, or fishing — do not naturally lead to anything new without a huge leap.
]]>visualization infographics economics complexity data digital_economy Tim_Harford capabilities kaleidoscopic adjacencies state_capacity nodes scarcityhttps://pinboard.in/u:jerryking/b:83ef5b69cade/Slipstream: When the Data Struts Its Stuff | Forex Mentor2011-04-03T02:53:40+00:00
http://forex-mentor.net/2011/04/slipstream-when-the-data-struts-its-stuff/
jerrykingHans_Rosling visualization infographics data information_overload statistics Freshbooks data_scientists insights lingua_francahttps://pinboard.in/u:jerryking/b:f943e2c7c782/Obama signals new reliance on oil sands2011-04-01T03:38:04+00:00
http://www.theglobeandmail.com/report-on-business/industry-news/energy-and-resources/obama-signals-new-reliance-on-oil-sands/article1963575/
jerrykingenergy consumption U.S. infographics Obama oil_sandshttps://pinboard.in/u:jerryking/b:8ecad33a27a0/A Data State of Mind2011-03-25T14:13:21+00:00
http://thinkquarterly.co.uk/01-data/a-data-state-of-mind/
jerrykingdata Google attitudes visualization infographics creativity Hans_Rosling Gapminder_Foundation government open_government social_changehttps://pinboard.in/u:jerryking/b:01d9329161d6/Think Quarterly2011-03-25T04:22:14+00:00
http://thinkquarterly.co.uk/
jerrykingGoogle data inspiration infographics visualization design magazines web technologyhttps://pinboard.in/u:jerryking/b:c539a9847fc8/Digital Humanities Boots Up on Some Campuses - NYTimes.com2011-03-22T09:27:29+00:00
http://www.nytimes.com/2011/03/22/books/digital-humanities-boots-up-on-some-campuses.html?ref=arts&pagewanted=all
jerrykinghumanities literature William_Shakespeare Colleges_&_Universities tools digital_media visualization infographics liberal_arts digital_archives digital_humanities 3-D digital_savvyhttps://pinboard.in/u:jerryking/b:b53c9b9ea903/Infographic: 2011 Retail Predictions2011-01-15T14:56:13+00:00
http://www.savings.com/blog/post/Infographic-2011-Retail-Predictions.html
jerrykinginfographics retailers predictionshttps://pinboard.in/u:jerryking/b:7d84ee55bbc1/