Sentences with phrase «simple data analysis»

Much of this debate was informed by simple data analysis examining individual factors, in isolation, and using opinion polling data.

Not exact matches

Thankfully, two software engineers, a Google big data project, and some careful analysis have already done the heavy lifting, revealing the simple trick to getting the top comment in most...

Dataminr offers flexible delivery, so users can receive alerts seamlessly via dashboard, email and mobile app, or natively within instant messaging tools and other data analysis applications through a simple API integration.

Throughout the 2013 NCAA Tournament, the team at Sports Insights has kept a close eye on Nate Silver's round - by - round predictions in an attempt to answer one simple yet profound question: Does new - age data analysis have a place in the uniquely unpredictable world that is March Madness?

The new platform processes hundreds to tens of thousands of cells per day, providing scalable, sensitive, single - cell sequencing with simple yet powerful data analysis.

However, testing the validity of data analysis algorithms is difficult since it is still unclear how even relatively simple neural systems like the brain of a fruit fly work.

That statement, which some critics argue is too simple, is one of the major results of the paper, which includes a broad review of the literature and primary analysis of relevant data mainly from the National Science Foundation (NSF).

However, analysis of the data over time does not support this simple explanation for the underrepresentation of Asians at the highest levels, according to Gottesman.

To figure out the relative contributions from all these potential factors, the WWA program team did a simple analysis that matched up surface temperature measurements going back to 1880 with two other sets of data.

High - throughput data acquisition streamlines complex experiments, while simple protocols for multiplexed analysis provide deeper insight into cell behavior.

The associated LymphoTrack Software — MiSeq ® provides a simple and streamlined method of analysis and visualization of data.

Data presentation is heterogeneous and ranges from: simple storage of expression data and experiment information (StemDB); presentation of lists of specific regulated transcripts (HESC); specific analysis results of a closed dataset (SCDb); or storage and visualization of variable resources with correlative and mutual information about single transcripts (one to many relationship, StemBase)[68]--[Data presentation is heterogeneous and ranges from: simple storage of expression data and experiment information (StemDB); presentation of lists of specific regulated transcripts (HESC); specific analysis results of a closed dataset (SCDb); or storage and visualization of variable resources with correlative and mutual information about single transcripts (one to many relationship, StemBase)[68]--[data and experiment information (StemDB); presentation of lists of specific regulated transcripts (HESC); specific analysis results of a closed dataset (SCDb); or storage and visualization of variable resources with correlative and mutual information about single transcripts (one to many relationship, StemBase)[68]--[70].

«During the [data] analysis we found that applying simple filters to the spreadsheet enabled us to identify trends and prioritise needs.»

Simple organizational management has given way to continual data - analysis ~ professional development and academic content knowledge.

They labeled these models basic (simple data, simple analysis, simple decision making), analysis - focused (simple data, complex analysis, complex decision making), data - focused (complex types of data, simple analysis, simple decision making), and inquiry - focused (complex types of data, complex analysis, complex decision making).

The experts» tendency to complicate the use and analysis of student achievement data often ensures that few educators avail themselves of data's simple, transparent power.

In it's simplest form, data is a collection of facts and statistics that can be used for planning or analysis.

Properly constructed, a data collection and analysis system can go beyond simple disaggregation to provide information more fully responsive to local, state, and federal data needs.

(Of course many authors do use various media to do some of this already, but structuring some of the data and making simple analysis easier could lead to interesting places).

To decide which credit card to apply for, you need some analytical skills, some calculations and some simplest input data to perform the analysis.

Simple swipe to build, manage and access your portfolio; get customized news, analysis and data of the Indian stock market

Completely independently of this oceanographic data, a simple correlation analysis (Foster and Rahmstorf ERL 2011) showed that the flatter warming trend of the last 10 years was mostly a result of natural variability, namely the recently more frequent appearance of cold La Niña events in the tropical Pacific and a small contribution from decreasing solar activity.

As discussed above, each of the groups making gridded products goes to a lot of trouble to eliminate problems (such as UHI) or jumps in the records, so the global means you see are not simple means of all data (this NCDC page explains some of the issues in their analysis).

Autocorrelation analysis is a very useful technique for identifying trends and periodicities in the data, in a manner that is often more precise than can be obtained with simple visual inspection.

Further evidence of the crucial importance of El Niño is that after correcting the global temperature data for the effect of ENSO and solar cycles by a simple correlation analysis, you get a steady warming trend without any recent slowdown (see next graph and Foster and Rahmstorf 2011).

If the data are oversampled, any anomalies will be identifiable by rather simple analysis.

The Stanford research supports the other two sources AND provides a simple, reasonable (to a sociologist) explanation for the small decline based on analysis of hte data.

Your model must match the data to be credible, while my simple analysis of the Solar effect alone does not need to match the data perfectly, in my paper I say that only approximately 50 % of the warming since 1900 is related to the sun and from 1600 to 1900 the match is quite good, indeed!

I wonder about two things: 1 / how much the resulting red curve differs from simple degree - 2 polynomial regression of the data 2 / what the result of this analysis would be if applied to periods 1910 - today or 1970 - today

Intuitively, Abbott's statement seems reasonable, but such rhetoric is easily refuted by readily available scientific data and simple statistical analyses.

Discussion of «pulsed stratospheric spraying» creating less noisy data for analysis of effects gave me a simple idea — If the input to the models assume that stratospheric spraying has been ongoing for decades, then plug into these models the temperature data accrued in the three days after 9/11 when, as reported at the time, the mean temperature over the US landmass «inexplicably» rose by 2 degrees C. in only three days while all aircraft were grounded, then the actual effect of stratospheric manipulations over US will emerge.

However, although its simple linear regression analysis facilities (including polynomials) provides automatically the option for plotting the fit with CIs for the fitted line / curve and for future observations from the same population, I am unsure about these intervals for autocorrelated data — typically time series.

The basis of climate scientists claims are not, however, founded on any simple (and somewhat ignorant) statistical analysis of the data.

While such a simple analysis is not intended to fit a definitive model to the data, it again show how hadSST3 is fundamentally changing the nature of original data.

Figure 6 shows the Fourier analysis of the rate of change of temperature in the ICOADS data (24 month gaussian low - pass filtered) with the simple war - time correction.

While it may be overly simple, the range is pretty consistent with most analysis using data not models.

Ain't it nice when the simple physical models of the 1930s predict CO2 - driven AGW that is robustly affirmed by modern satellite data (as Dr.Benestad's analysis demonstrated)?

Conclusion Hockey - sticks are ubiquitous in past, present, and future climate - data analyses for one simple reason: The anthropogenic CO2 hockey - stick is driving all the other climate - change hockey sticks.

You need further data for that, see the same link above, or for simpler analysis the «who is who» file here: http://curryja.files.wordpress.com/2015/11/who-is-who-aux-file.docx

The fact that there might be cycles, in addition to be reveiled by data analysis, is probably the simplest of the hypotheses that can be made.

The wide range of studies conducted with the ISCCP datasets and the changing environment for accessing datasets over the Internet suggested the need for the Web site to provide: 1) a larger variety of information about the project and its data products for a much wider variety of users [e.g., people who may not use a particular ISCCP data product but could use some ancillary information (such as the map grid definition, topography, snow and ice cover)-RSB-; 2) more information about the main data products in several different forms (e.g., illustrations of the cloud analysis method) and more flexible access to the full documentation; 3) access to more data summaries and diagnostic statistics to illustrate research possibilities for students, for classroom use by educators, or for users with «simple» climatology questions (e.g., annual and seasonal means); and 4) direct access to the complete data products (e.g., the whole monthly mean cloud dataset is now available online).

General Introduction Two Main Goals Identifying Patterns in Time Series Data Systematic pattern and random noise Two general aspects of time series patterns Trend Analysis Analysis of Seasonality ARIMA (Box & Jenkins) and Autocorrelations General Introduction Two Common Processes ARIMA Methodology Identification Phase Parameter Estimation Evaluation of the Model Interrupted Time Series Exponential Smoothing General Introduction Simple Exponential Smoothing Choosing the Best Value for Parameter a (alpha) Indices of Lack of Fit (Error) Seasonal and Non-seasonal Models With or Without Trend Seasonal Decomposition (Census I) General Introduction Computations X-11 Census method II seasonal adjustment Seasonal Adjustment: Basic Ideas and Terms The Census II Method Results Tables Computed by the X-11 Method Specific Description of all Results Tables Computed by the X-11 Method Distributed Lags Analysis General Purpose General Model Almon Distributed Lag Single Spectrum (Fourier) Analysis Cross-spectrum Analysis General Introduction Basic Notation and Principles Results for Each Variable The Cross-periodogram, Cross-density, Quadrature - density, and Cross-amplitude Squared Coherency, Gain, and Phase Shift How the Example Data were Created Spectrum Analysis — Basic Notations and Principles Frequency and Period The General Structural Model A Simple Example Periodogram The Problem of Leakage Padding the Time Series Tapering Data Windows and Spectral Density Estimates Preparing the Data for Analysis Results when no Periodicity in the Series Exists Fast Fourier Transformations General Introduction Computation of FFT in Time Series

A much simpler process, where recent data and analyses are presented, and uncertainties openly acknowledged, would be a big improvement.

I also graph all data I'm working with and find that I can pick up patterns that don't show up in simple statistical analyses.

The lack of sufficient surface station data in West Antartica, particularly long record data, means that carrying out a «simple regional analysis» of the area is, unfortunately, not practicable.

There you go, JIK, no fancy graphs, no cloured maps just plain and simple data treated to a very simple statistical analysis.

Using a crawler, it is a fairly simple matter to collect all the links among a defined set of sites, which can then be fed into a program for data analysis.

uses simple statistical and functional analysis in conjunction with network analysis algorithms to examine the network of Canadian caselaw using data supplied by the Canadian Legal Information Institute (CanLII).

Over the years, as The Keg has developed its risk analysis systems, it has used data gathering to discover simple but important things, such as slip and falls are more likely to happen in Whistler than they are in the lower mainland, Toronto or Arizona.

That's the bit that causes Wylie to describe his former employer as engaging in something more like psychological warfare than simple «data analysis.»