Sentences with phrase «story out of the data»

Not exact matches

So I think it's a really tough seat and for me, it's really more about how you work with your business partners, how you share the data, how you get on key messages, consistently tell those stories, and how you put bravery out there and really drive the agenda of the company forward.

«Your individual biology, your health history and ever - fluctuating state of well - being, where you go, what you spend, how you sleep, what you put in your body and what comes out» — that rich - but - messy heap of information, more than anything else, is what's driving these companies together, write Erika Fry and Sy Mukherjee in their terrific cover story for Fortune's April 1 issue («Big Data Meets Biology»), which we're posting online today.

We're looking for someone who gets a thrill out of scouring earning reports, economic data, and futures markets for the next big story.

Over the weekend the New York Times was out with a new story, entitled How Trump Consultants Exploited the Facebook Data of Millions:

That, as it turns out, is the number reported by a New York Times story on Facebook and Cambridge Analytica published Saturday, citing documents and people familiar with the collection and use of the data.

These stories don't come out in demographic data, which obscures an experience that a lot of young Americans probably have: «No one really teaches you how to grieve the loss of your faith.

If you're looking for some ammunition to take into a meeting with your boss for such a deal, check out some of the data and stories collected by Corporate Voice for Working Families.

Share this story Leave a comment What others are reading Asamoah Gyan limps out of training ahead of Egypt clash Accam undergoes sports hernia surgery without complication Herman Abban eyes Davis Cup call - up Vodafone, Statistical Service partner on «big data for good» initiative Source: myjoyonline.com

Using genetic data from modern animals to figure out what went on in the past is like flipping to the end of a novel and reading only the ending; it shows how things ended up but doesn't indicate how the story started or unfolded.

She quickly got hooked — not by the actual weather data but by the narrative of the Foxglove's journey and crew, a story that played out alongside the thermometer readings in each day's logbook entries.

I presented a talk there as well, «Personal experiences in long - term carnivorous eating: benefits beyond carbohydrate restriction», in which I retold my own story, made some distinctions between the goals, benefits, and pitfalls of ketogenic diets vs carnivorous diets, and showed some data I collected from the Zero Carb style carnivorous dieters who generously filled out the survey I designed.

The data were compiled by United to Counter the Core, an opt - out advocacy organization, from a combination of media stories, freedom of information requests, and reports by administrators, teachers, and parents.

While these stories (e.g., Partelow, 2016; Rich, 2015) and a highly - publicized recent report (Sutcher et al., 2016) generally discuss teacher shortages as a national problem, we argue that the popular conception of a «teacher shortage» is not borne out by historical data; in fact, the production of newly - minted potential teachers has increased steadily over the past several decades, and only about half of these recent graduates have been hired as public school teachers in a typical year.

* CLARIFICATION: As originally posted, the story did not clearly point out that test score data remains a part of the state's letter grading system.

Check out the presentation from SFUSD, Telling the Story Behind the Numbers: Making Sense of the Data

While the studies showed mixed results for charter schools when compared to district schools in other states, the data coming out of Massachusetts» charter schools told a much different story.

The real story you should see from that data is that Indy's are taking a bigger bite out of the ebook marketplace.

While I think analysis like this is interesting and helpful in evaluating the health of comics market, the lack of online data, where quick a big chunk of the sales happen (at least for manga), leaves out a significant part of the story.

Skype (School Library Journal, January 2008) It's a Mad Mad Wordle (School Library Journal, July 2009) Ramping up Your Library Website (School Library Journal, January 2010) Empowering Students for Life (Multimedia Schools, March 2010) Everyday Advocacy (School Library Journal, August 2010) Checking Out the iPad (Multimedia Schools, November / December 2010) Librarians as Leaders (TechEdge, February 2011) E-Books: Just Jump In (Library Media Connection, Jan / Feb 2011) Tech Tools for Tough Times (TechEdge, November 2011) Learning Together: the Evolution of a 1:1 iPad program (Internet @Schools, January 2012) Backchanneling on the Front Burner (Library Media Connection, May / June 2012) Power of Gaming (Internet @ Schools Idea Watch column, May / June 2012) BYOT to the Library (Tech Edge, September 2012) Data Delivery: Getting the Story Out (Internet @ Schools Idea Watch column Sept 2012) iPads for Everyone (School Library Journal, October 2012) The 1:1 Experience (Internet @ Schools Idea Watch November / December 2012) Innobrarians: Librarians as Innovators (Internet @ Schools Idea Watch Jan / Feb 2013) From Professional Development to Personalized Learning (Library Media Connection Jan 2013) Live - Blogging Learning (Internet @ Schools Idea Watch March / April 2013) For E-books the Future is Now... Maybe (Internet @ Schools May / June 2013) Project Advocacy column: What are We Afraid Oof a 1:1 iPad program (Internet @Schools, January 2012) Backchanneling on the Front Burner (Library Media Connection, May / June 2012) Power of Gaming (Internet @ Schools Idea Watch column, May / June 2012) BYOT to the Library (Tech Edge, September 2012) Data Delivery: Getting the Story Out (Internet @ Schools Idea Watch column Sept 2012) iPads for Everyone (School Library Journal, October 2012) The 1:1 Experience (Internet @ Schools Idea Watch November / December 2012) Innobrarians: Librarians as Innovators (Internet @ Schools Idea Watch Jan / Feb 2013) From Professional Development to Personalized Learning (Library Media Connection Jan 2013) Live - Blogging Learning (Internet @ Schools Idea Watch March / April 2013) For E-books the Future is Now... Maybe (Internet @ Schools May / June 2013) Project Advocacy column: What are We Afraid Oof Gaming (Internet @ Schools Idea Watch column, May / June 2012) BYOT to the Library (Tech Edge, September 2012) Data Delivery: Getting the Story Out (Internet @ Schools Idea Watch column Sept 2012) iPads for Everyone (School Library Journal, October 2012) The 1:1 Experience (Internet @ Schools Idea Watch November / December 2012) Innobrarians: Librarians as Innovators (Internet @ Schools Idea Watch Jan / Feb 2013) From Professional Development to Personalized Learning (Library Media Connection Jan 2013) Live - Blogging Learning (Internet @ Schools Idea Watch March / April 2013) For E-books the Future is Now... Maybe (Internet @ Schools May / June 2013) Project Advocacy column: What are We Afraid OfOf?

So, use the tabs at the top of this story to jump over to the big data table that contains information on all 500 stocks, check out this year's All Star lineup, or look back to see how last year's All Stars fared.

Wonderful story, reckoned we could combine a couple of unrelated data, nonetheless truly really worth taking a appear, whoa did one particular find out about Mid East has got far more problerms too

If you're looking for some ammunition to take into a meeting with your boss for such a deal, check out some of the data and stories collected by Corporate Voice for Working Families.

HF: «When they hear the story about 300 people testing the game at the same time, I think what a lot of people misunderstand is [in thinking] that the big leaps ahead came from all of the data we got out of that.

He further explains, «Whether that story is estimating damages in a class action lawsuit, or if that story is figuring out where in your mobile game players are leaving [in your mobile game]-- the central thread behind both of these very different use cases is data».

Information may be more for the sake of story progression, perhaps finding out passcodes or other data — but that's merely me thinking aloud for now.

For analysis of this data, check out Inside Energy's map illustrating the rise of severe weather related outages and Dan Boyce's radio story on the tenuous relationship between solar panels and the grid, which includes a graph showing the increase of grid disruption events.

As best I can make out, none of the scare stories agrees with observational data.

He did say, as an aside, that «you could argue that if the data were extended out to the present, the line might more closely resemble scenario C [a flat line]» but then continued with his story that observations were matching the ever - rising - temperatures of Hansen's scenario B (see Figure 2 below).»

As we discussed in our paper, if one takes out the «no radiosonde data» squares from the output of the NCEP model, the averages of the remaining squares (about 2 % of the total) tell much the same story as when one uses all of them.

If you're on the road you've got everything on your computer but you need Internet access, you hear all the stories about or even in a coffee shop, people being able to look at what information, what sites you're visiting, if you're using an unsecured provider and that ought to scare the heck out of all the lawyers because you just can't afford to have your confidential data be compromised in any way.

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Read the complete article for the detailed story and insights of benefit to anyone setting out on their own linked data project.

People who follow hundreds or thousands of Twitter accounts are likely not poring over all that data to find the interesting stories (although as Simon points out, it's possible to glean a lot).

Ever since Facebook scooped The New York Times» story on its company blog — «after a week of inquiries from The Times, Facebook downplayed the scope of the leak and questioned whether any of the data still remained out of its control.

That, as it turns out, is the number reported by a New York Times story on Facebook and Cambridge Analytica published Saturday, citing documents and people familiar with the collection and use of the data.

The core of the story is: an academic sucked data out of FB (using an API) for research (legal) then shared it with various people including CA (against the terms of his agreement with FB, possibly illegal).

It reveals two very different cultures: one tempered perhaps by philosophy, wisdom and experience; the other that signals the grab - data - at - any - cost attitude (check out the ugly - truth memo story) that has typified the rise of unicorns over the past decade or so, ignoring warnings about recklessness around data, and showing a moral blind side when it comes to diversity.

Union minister Harsimrat Kaur Badal on Thursday hit out at Rahul Gandhi over his allegation that the government «invented» a story on «data theft» by the Congress to divert attention from the death of 39 Indians in Iraq, saying it showed his «hollowness».

Facebook has been caught allowing the personal data of fifty million users — 50,000,000 — get siphoned off by political data company Cambrige Analytica and hiding it until it knew the story would come out in the press.

The service seeks out news stories and data of value to decision - makers in Cosmetic Formulation & Packaging in the USA.

The study — which asked more than 2,000 adults about where they have lived, where they have visited, and where they would like to visit — breaks out the resulting data by various demographics as well as political affiliation with fascinating results that tell the story of our changing nation.

Many agents look to historical data like «days on market» to find out how long it will take, but that only tells part of the story.