Sentences with phrase «graphed data looking»

Not exact matches

Flipboard's head of ad product, Dave Huynh, explains how the new feature works: If an advertiser says they are looking to appeal to readers who are interested in big data, for example, Flipboard can look into its interest graph and tell them that readers who like that topic are also interested in other topics such as Amazon and the cloud.

Looking forward, recent job vacancy and hiring intentions data point to continued solid employment growth over the remainder of the year and into 2004, with print - and internet - based indicators of labour demand improving over recent months, following weakness over the first half of the year (Graph 43).

The actual data did not look like much, mostly line graphs showing the intensity of radiation emitted by the stars at various wavelengths, but the meaning hidden behind those numbers had us talking all at once, lost in the fever of discovery.

It offers tables, charts and graphs, and permits users to view and customize data in multiple ways, such as making comparisons with other states, looking at 20 year trends, and translating financial information from current into constant dollars.

One way to weed corrupted data out of a high - dimensional data set is to take 2 - D cross sections of the graph of the data and see whether they look like Gaussian distributions.

When one simply looks at the Lauer curve data transposed on a normal linear graph, as discussed, those data indicate that having a single R01 is about the least productive NIH funding situation, far less productive than 3 — 5 R01s.

When astronomers graph the light data, a careful look at the gradual dimming of starlight shown in the occultation light curve reveals a «slight bend,» or «kink.»

If I had my way, people would look at the graphs of the Tiljander data series (here, files downloadable from BitBucket.org) and at the CRUTEM3v gridcell temperature anomaly synthesis for 1850 - 1995 (here).

These two problems will likely limit the potential of Graph Search as a dating tool for now, but Fishman suggests this could change in the future if Facebook adds additional relationship status options like «Looking for a date,» and if the social network can accrue enough real - time interest data for users from its partnerships with other websites.

Once he'd gathered all the data from his spaced learning studies, he plotted it on a graph that looked a little something like this:

You should also look for an LMS that turns your stats into charts, graphs and other data visualizations.

This worksheet looks at Q13 of Phase 3 and explores how to graph the data using pie charts and stacked bar charts.

In this issue, we focus on risk and chance, while an idea for the classroom looks at ski graphs and data interpretation.

Since the graph is somewhat hard to read, here's what the data look like in table form.

VAM - based scores can be easily constructed and manufactured by those charged with constructing such figures and graphs, also because tests themselves are also constructed to fit normal curves; hence, it is actually quite easy to distribute such scores around a bell curve, even if the data do not look nearly as clean from the beginning (they never do) and even if these figures do not reflect reality.

The data points on a graph for some of my struggling readers can look like a patient having a heart attack with the Aimsweb trending line averaging the data.

Using graphs to explain numerical data, timelines or facts and figures can make your nonfiction book look more attractive and professional.

But look at the clump of blue data points in the upper left portion of the graph.

When I look at these graphs, particularly the ones for Fed funds and GDP growth, I see a paradigm shift where Bayesian priors have been dragged kicking and screaming by the data to No Man's Land.

Now, if you look at the graph at the top of my blog, which was estimated back in mid-March off of year - end data, you can notice a few things:

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The first graph, titled «various temperature measurements» has lines for rss and uah data which look nothing at all like those published from uah or rss.

I thought he might be unhappy to see: — the adjustment (in the new paper) losing the 1998 RSS high temp shown in Zeke Hausfather's older graph, so the «cooling trend» argument gets hurt, or — the newer graph having one more recent data point than the older, so the «cooling trend» argument gets hurt, or — the newer graph showing a shorter time span and so not showing the lower temps in earlier decades, so the «cooling trend» argument gets hurt, or — the newer graph isn't directly comparable to an older graph he prefers to look at without thinking about the numbers along the side, or — I du n no.

Grist looks at the new data and referring to climatologist Michael Mann's iconic graph, says it's a bigger, badder hockey stick.

(class 5) If you look at it's anomaly graph (ok you have to download the data and calculate this for yourself) you will see it getting hotter by the year.

Then a look at the collected data and multiple graphs available, for which I normally go here: https://sites.google.com/site/arcticseaicegraphs/

If you look at more recent data since 2010, say this Colorado graph, you will see the blue wiggles start mainly below the linear trend line and by 2006 have become above the trend line.

But if I look at the raw and adjusted values, say at 1934, you get a raw temperature of a little over 87F and an adjusted temperature of about 86.75 F but on your overlay graph the values appear to be over 87F for both the adjusted and raw data.

Oh, it's a mondo sneaky plan all right, Steve, to ask people to look at a graph for themselves, to point them to the data, it's probably that crafty science deal you might have heard about...

Compare these two graphs which are from the National Oceanographic Data Centre (NODC) which also provides a range of other graphs looking at different aspects of sea level rise.

Look at the data for 1987 in the first graph produced by SteveMc above, how can you say the upward trend was well established in 1987?

A graph of «Actual versus Simulated Data,» here, would look remarkably familiar, heh.

Ironically, a number of other reconstructions since 1998 have reinforced his basic conclusion, although subsequent studies and their alternate ways of looking at the data led to graphs with different wiggles and jiggles along the way.

He cherry - picked the data, looking only as far back as 1998, when a huge spike in temperature due to an El Niño event made it look like temperatures are flat since then (when you start high, it makes the rest of the graph look flatter).

Another problem with Curry's analysis is that she simply eyeballs the ocean heat content graph in Lyman & Johnson (2013) and concludes that since 2003, the data look flat.

I imagine any reasonably educated member of the general public looking at the same data in the second graph, might say, the Earth's been warming by x C / century, (natural procceses) where is the AGW.

«Look at the data from 1997 on in this graph.

Also, if we look at the graphs above with the NINO3, 4 SST anomalies smoothed with a 31 - year filter (Figures 3, 7 and 12), there aren't two complete cycles in the data that runs from 1880 to 2009.

Ruddiman looks like he drew his graphs and provided no references as to what data they were based upon.

But even if such data DID inspire more confidence, let's look at some graphs of such data.

-- Anthony, can I guest write a piece that demonstrates how the climate data in graph form looks like different mountain ranges?

Eyeballing Willis's graph, and ignoring the red line, it looks to me like the WWII records were dominated by engine - warmed intake data, perhaps because the chaos meant much of the bucket data did not get recorded, and after WWII it was business as usual with mostly bucket data resuming.

Have you looked at a graph of the data?

For example, eyeballling it from looking at the top end of the bars your last graph on https://tamino.wordpress.com/2014/12/04/a-pause-or-not-a-pause-that-is-the-question/, I might guess based on the data since since 2005, one can say the observed warming trend isn't any more than 4C / century with 97.5 % confidence.

What is stupid or worse is when people pick out these graphs JoNova - style without looking at whether they represent the same thing and say — but you keep changing the data.

When I studied these data sets, I didn't just look at a graph and take somebody else's word for the logical conclusion.

In looking at a graph of the North Pacific SST anomaly and PDO data, there's no long - term correlation between the two.

Climate science deniers are very fond of showing extremely deceptive temperature graphs: They plot the data starting in 1998, when temperatures were higher than average, so it looks like the world hasn't gotten much warmer since then, and talk about the global warming «pause.»

Why not just look at the station data instead of «adjusting» it (graph above)?

If you don't want their spin... fine, just look at the graphs, which are taken straight from NOAA data.