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Topic: Data analysis

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	Data analysis - Wikipedia, the free encyclopedia
		Data analysis is the act of transforming data with the aim of extracting useful information and facilitating conclusions.
		Respect to Data mining, data analysis is usually more narrowly intended as not aiming to the discovery of unforeseen patterns hidden in the data, but to the verification or disproval of an existing model, or to the extraction of parameters necessary to adapt a theoretical model to (experimental) reality.
		Qualitative Data Analysis (QDA) or qualitative research is the analysis of non-numerical data, for example words, photographs, observations, etc..
	en.wikipedia.org /wiki/Data_analysis (308 words)

	Inferring From Data
		It is also an appropriate distribution for describing data corresponding to resonance behavior, such as the variation with energy of the cross section of a nuclear reaction or the variation with velocity of the absorption of radiation in the Mossbauer effect.
		Multivariate analysis is a branch of statistics involving the consideration of objects on each of which are observed the values of a number of variables.
		The data are measured and /or analyzed using a nominal scale of measurement.
	home.ubalt.edu /ntsbarsh/stat-data/Topics.htm (16052 words)

	Data Analysis (Site not responding. Last check: 2007-10-07)
		Data analysis can be approached in a number of ways, but I see them all as being one of three general methodologies: Reductive, mathematical, and visual.
		Mathematical, sometimes referred to as classical, data analysis is a methodology in which mathematical models are applied to the data and used as the basis for analysis.
		Visual data analysis is a methodology in which the data, as a whole, is used as the basis for analysis.
	www.datamology.com /analysis.shtml (722 words)

	Exploratory data analysis - Wikipedia, the free encyclopedia
		Exploratory data analysis (EDA) is that part of statistical practice concerned with reviewing, communicating and using data where there is a low level of knowledge about its cause system.
		Tukey held that too much emphasis in statistics was placed on evaluating and testing given hypotheses (confirmatory data analysis) and that the balance was in need of redressing in favour of using data to suggest hypotheses to test.
		In particular, confusion of the two types of analysis and employing them on the same set of data can lead to bias owing to the issues endemic in testing hypotheses suggested by the data.
	en.wikipedia.org /wiki/Exploratory_data_analysis (340 words)

	JCSMR Flow cytometry data analysis (Site not responding. Last check: 2007-10-07)
		The precision of the data is dependant on the number of cells counted, and as number of events increases the coefficient of variation of the estimate decreases.
		The arithmetic mean is well suited to the analysis of data that is collected on a linear scale, while as a general rule, the geometric mean is better suited for use with data collected with a logarithmic amplifier.
		This type of data, where the test sample shows a comparitively small shift in the relative fluorescence, is well suited to histogram subtraction, as opposed to a "set marker" type approach, as one has difficulty with this type of experiment in clearly deciding where a marker could, or should be set.
	jcsmr.anu.edu.au /facslab/analysis.html (2420 words)

	Data Analysis
		Data Analysis is the process of systematically applying statistical and/or logical techniques to describe and illustrate, condense and recap, and evaluate data.
		The form of the analysis is determined by the specific qualitative approach taken (field study, ethnography content analysis, oral history, biography, unobtrusive research) and the form of the data (field notes, documents, audiotape, videotape).
		The integrity of data analysis can be compromised by the environment or context in which data was collected i.e., face-to face interviews vs. focused group.
	www.niu.edu /rcrportal/datamanagement/datopic.html (2074 words)

	Exploratory Data Analysis (Site not responding. Last check: 2007-10-07)
		However, in addition to advocating the graphical techniques of visual data analysis, he proposed the methodology of data exploration, a methodology in which a model of the phenomena might be inferred instead of pre-imposed.
		The exploratory approach is very appropriate for data analysis because it allows you to explore your data with an open mind.
		In the second step, that of confirmatory data analysis, you evaluate the strength of the evidence and judge its merits and applicability.
	www.datamology.com /eda.shtml (400 words)

	Teacher Research: Data analysis (Site not responding. Last check: 2007-10-07)
		For example, those three pieces of data might be the teacher researcher¹s observations in the research log, recorded comments by a student or students (such as the tape recorded comments or quotes the teacher researcher has noted in the research log) and examples of student work.
		Look through the data and keep comparing the data that was collected earlier in the study with data collected later in the study.
		Data Collector, by Intellimation, is a HyperCard program that runs on Macintosh computers, organizes and analyzes qualitative data in an easy-to-use format.
	gse.gmu.edu /research/tr/TRanalysis.shtml (873 words)

	Data Analysis (Site not responding. Last check: 2007-10-07)
		If the data come from a survey, for example, you want to know that the people who responded to the survey were selected at random.
		Another problem with data is "cherry-picking." This is the social-science equivalent of gerrymandering, where you draw up a legislative district so that all the people who are going to vote for your candidate are included in your district and everyone else is scattered among a bunch of other districts.
		Again, data that are "cherry picked" to look interesting might mean something else entirely once it is placed in a different context.
	www.robertniles.com /stats/dataanly.shtml (1235 words)

	Barry: Choosing Qualitative Data Analysis Software
		The main worries are: that it will distance people from their data; that it will lead to qualitative data being analysed quantitatively; that it will lead to increasing homogeneity in methods of data analysis; and that it might be a monster and hi-jack the analysis.
		Another fear is that the rising use of CAQDAS is resulting in the convergence towards a single orthodoxy of data analysis (Coffey et al, 1996).
		These different data types are linked by case; the fieldwork is being done by two researchers based at two different sites and a multi-disciplinary team of five is involved in the analysis.
	www.socresonline.org.uk /3/3/4.html (6747 words)

	Graphics and Data Analysis - Analysis
		Having the data defined as a set of objects, specialised storage methods are used to get direct access to the separate attributes of the selected objects, without having to touch the bulk of the data.
		Commercial data analysis software packages exist that can be used, however they are often expensive, have a limited number of methods available and are very restrictive with their licenses.
		A general mathematical data model that can be adapted to virtually any numerical data, that supports data sharing among different users, different data sources and different scientific disciplines, and that provides transparent access to data independent of storage format and location (i.e., memory, disk or remote).
	stommel.tamu.edu /~baum/graphics-analysis.html (7467 words)

	Max Tegmark's cosmic microwave background data analysis center
		Analysis of large future data sets will therefore necessarily involve the intermediate step of reducing the TOD to maps.
		This means that all the information from even a giant data set (say a map with n=10^7 pixels) can be reduced to just a couple of thousand numbers, greatly facilitating parameter estimation (the next step in the pipeline).
		For smaller data sets which produce weaker constraints, more accurate results can be obtained from a brute-force likelihood analysis of the sky map, as was done for COBE (Tegmark and Bunn 1995, Hinshaw et al 1996).
	space.mit.edu /home/tegmark/cmb/pipeline.html (2357 words)

	SSI - Comprehensive Data Analysis
		Subject the data to a variety of data reduction with a host of quantitation techniques and calibration curves.
		You can perform rigorous data reduction treatments with curve smoothing options, apply 1st/2nd derivative renditions, system suitability based on 8 different pharmacological methodologies, or collect photodiode array data and make comparisons with peak purity calculations.
		If desired, users can re-analyze data, subject to their security privilege, to change baselines, alter method parameters, etc. Once these changes are made, it's a simple process to re-analyze the data and generate new reports.
	www.scisw.com /products/cds/data_analysis/index.htm (460 words)

	Data Analysis (Site not responding. Last check: 2007-10-07)
		Data should help teachers improve teaching and learning, and focus on specific goals such as determining how many students are succeeding in a subject and, within that subject, what are the areas of strength or weakness.
		Student assessment data must be reported for elementary school students or students of chronological age equivalent to elementary school and for secondary school students from schools receiving aid for limited English proficient students, special education students, or students from schools that receive state compensatory or Title I aid.
		Data provide an accurate way to identify problem areas in school programs, reveal strengths and weaknesses in students' knowledge and skills, and provide meaningful guidance on how teaching practices can and should be altered.
	eric.uoregon.edu /search_find/data_analysis.html (9028 words)

	Data Shape, inc. - Data Transformation Services (Site not responding. Last check: 2007-10-07)
		We provide reliable and accessible slot data information to medium and small sized casinos were the alternative of a full slot accounting system may not be cost effective.
		Casinos need data that can financially measure changes performed to their slot machine inventory base as there are literally thousand of slot machines on the market today.
		Data Shape, Inc. benefits from the merge of slot, accounting and Internet technology knowledge, allowing the company to provide competitive pricing to its customers.
	www.datashape.net (257 words)

	Statistics & Data Analysis
		From traditional analysis of variance to exact methods to statistical visualization techniques, the SAS System provides the tools required to analyze data and help your organization make the right decisions.
		The SAS System includes a wide range of statistical analyses, including analysis of variance, regression analysis, categorical data analysis, multivariate analysis, survival analysis, psychometric analysis, cluster analysis, and nonparametric analysis.
		You can explore data through a variety of interactive graphs and analyses linked across multiple windows as well as describe data distributions and fit explanatory models.
	support.sas.com /rnd/app/da.html (517 words)

	Multivariate Data Analysis [MVDA] : Analytical software products and solutions
		Despite the quantum of data available, the ability to obtain a clear picture of what is going on and make intelligent decisions is a challenge.
		This analysis is often called Principal Components Analysis or Factor Analysis.
		In the overview, it is possible to identify the dominant patterns in the data, such as groups, outliers, trends, and so on.
	www.camo.com /multivariate_analysis.html (296 words)

	Data Analysis Questions
		Calculating the proportion of stream miles that are degraded requires converting this continuous data into binary, or yes/no (e.g., degraded or not degraded) form.
		Furthermore, estimates of various other properties can be made from the sample survey results, such as median scores, various percentiles, or frequency distributions and their shapes.
		The sample size (# of sampling units collected) and the proportion of yes answers are the primary factors affecting the size of the confidence interval with binary (yes/no) data.
	www.epa.gov /nheerl/arm/dataanalysisfaqs.htm (2081 words)

	Data Analysis (Site not responding. Last check: 2007-10-07)
		Holistic analysis does not attempt to break the evidence into parts, but rather to draw conclusions based on the text as a whole.
		However, composition researchers commonly interpret their data by coding, that is by systematically searching data to identify and/or categorize specific observable actions or characteristics.
		There are two purposes of these frameworks: to look for patterns among the data and to look for patterns that give meaning to the case study.
	writing.colostate.edu /guides/research/casestudy/pop3d.cfm (358 words)

	Multivariate Data Analysis Software and References
		Multivariate Data Analysis Software in Fortran (and C) Resources and Links, including: JP Benzécri's Pascal Code for Correspondence Analysis; Multidimensional Scaling; Point Pattern Matching; and Reading FITS Files in R. Legal notice: all software here can be freely used and incorporated into any system, for any purpose.
		The correspondence analysis is used in R to "Euclideanize" the data (e.g.
		The data is a set of 500 objects derived from an HST WF/PC image, in the context of a study in star/cosmic ray hit discrimination.
	astro.u-strasbg.fr /~fmurtagh/mda-sw (1892 words)

	Analysis and publishing (Site not responding. Last check: 2007-10-07)
		Analysis is about converting and reducing data into meaningful results.
		SPSS survey and market research solutions are renowned within the industry as the benchmark for analysis.
		Choose from the entire spectrum of analysis—from toplines and tabulation to advanced discovery and modeling methods to data mining.
	www.spss.com /analysis (201 words)

	FUSE Data Analysis
		The FUSE Instrument and Data Handbook describes the FUSE instrument and the science data produced by the FUSE Science Data Processing Pipeline System.
		The FUSE Data Analysis Cookbook is a tutorial for astronomers new to the analysis of FUSE data.
		Note also that the FUSE data of star-forming galaxies used for Anne Pellerin's thesis are now on the "High Level Science Product" website at MAST.
	fuse.pha.jhu.edu /analysis/analysis.html (679 words)

	Standards for School Mathematics: Data Analysis and Probability (Site not responding. Last check: 2007-10-07)
		To reason statistically--which is essential to be an informed citizen, employee, and consumer--students need to learn about data analysis and related aspects of probability.
		Through experiences with the collection and analysis of data, students learn how to interpret such information.
		Work in data analysis and probability offers a natural way for students to connect mathematics with other school subjects and with everyday experiences.
	standards.nctm.org /document/chapter3/data.htm (217 words)

	SPSS \| Data Analysis (Site not responding. Last check: 2007-10-07)
		For example, use this procedure in data reduction to identify a small number of factors that explain most of the variance observed in a much larger number of manifest variables.
		Factor analysis includes a number of methods for factor extraction, rotation, and factor score computation.
		This procedure enables you to group data so that records within a group are similar.
	www.spss.com /spss/data_analysis.htm (735 words)

	Mathtools.net : Fortran/Data Analysis
		These data have the form of a multidimensional array S(q,w,p,...) where q is the scattering wave number (alternatively the scattering angle 2 theta), w is the scattering frequency (corresponding to an energy transfer hbar w), and p,...
		Therefore IDA can also be used for the analysis of any other type of multidimensional data.
		The routines are based on the widely used XDR data format (eXternal Data Representation) and allow data exchange for a large number of systems.
	www.mathtools.net /Fortran/Data_Analysis/index.html (430 words)

	The Math Forum - Math Library - Data Analysis (Site not responding. Last check: 2007-10-07)
		This classroom activity, a PCMI Resource for Teachers, is an adaptation of a lesson from the NCTM Navigating through Data Analysis in Grades 9-12, chapter 1, to be used with Fathom© rather than a graphing calculator.
		People from all over the world boil water at different elevations and post data to discover which factor in the experiment (room temperature, elevation, volume of water, or heating device) has the greatest influence on boiling point.
		A lesson plan involving the use of spreadsheets to investigate data analysis techniques with a set of data gathered in a chemistry experiment.
	mathforum.org /library/topics/data_a (2348 words)

	BGP Data Analysis Project \| BDAP (Site not responding. Last check: 2007-10-07)
		However there is data to suggest that there is a significant amount of instability in these routes (often due to router misconfiguration).
		In the summer of 2003, we set out to familiarize ourselves with the format of publicly available data sets, establish an SQL database server to house this data, and finally to write a web front end to this data in order to query and analyze the data.
		Kai-Wen Chung and San-Yiu Cheng's BGP Data Analysis outlines their project in which they made an initial attempt at implementing a database to store BGP data (We based our database on their second design).
	www.clarkson.edu /projects/itl/HOWTOS/bgpAnalysis (795 words)

	4TOPS Data Analysis and Reporting tool for Microsoft Access
		TOPS Data Analysis and Reporting is a combination of 4 wizards for retrieving information in Microsoft Access.
		It is used for statistical analysis and presentation of the data in your Microsoft Access database.
		The Search Assistant lets the user define and apply filters to select the data you are currently interested in.
	www.4tops.com /dataanalysis.htm (270 words)

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