Organized raw data that has not been otherwise processed or transformed
Grouped data are data formed by aggregating individual observations of a variable into groups, so that a frequency distribution of these groups serves as a convenient means of summarizing or analyzing the data. There are two major types of grouping: data binning of a single-dimensional variable, replacing individual numbers by counts in bins; and grouping multi-dimensional variables by some of the dimensions (especially by independent variables), obtaining the distribution of ungrouped dimensions (especially the dependent variables).
variables). The idea of groupeddata can be illustrated by considering the following raw dataset: The above data can be grouped in order to construct a...
Dark dataData (computer science) Data acquisition Data analysis Data bank Data cable Data curation Data domain Data element Data farming Data governance...
Data collection or data gathering is the process of gathering and measuring information on targeted variables in an established system, which then enables...
comparisons of data with grouped (or "clustered") bar charts, and stacked bar charts. In grouped (clustered) bar charts, for each categorical group there are...
B, then the data set A, A, B can be represented in counts as (1, 0), (1, 0), (0, 1). Once converted to counts, binary data can be grouped and the counts...
International DataGroup (IDG, Inc.) is a market intelligence and demand generation company focused on the technology industry. IDG, Inc.'s mission is...
statistics, missing data, or missing values, occur when no data value is stored for the variable in an observation. Missing data are a common occurrence...
Synthetic data is information that is artificially generated rather than produced by real-world events. Typically created using algorithms, synthetic data can...
data is the statistical data type consisting of categorical variables or of data that has been converted into that form, for example as groupeddata....
context, for both regression and grouped-data situations. Bartlett's test for heteroscedasticity between groupeddata, used most commonly in the univariate...
data are applied in statistics, data warehouses, and in economics. There is a distinction between aggregate data and individual data. Aggregate data refers...
aim to summarize a sample, rather than use the data to learn about the population that the sample of data is thought to represent. This generally means...
The Particle DataGroup (PDG) is an international collaboration of particle physicists that compiles and reanalyzes published results related to the properties...
models to non-normal data. GLMMs provide a broad range of models for the analysis of groupeddata, since the differences between groups can be modelled as...
Topics in data management include: Data governance Data asset Data governance Data trustee Data custodian or guardian Data steward Data subject Data ethics...
be used to group all the shopping items available on the web into a set of unique products. For example, all the items on eBay can be grouped into unique...
Statistical inference is the process of using data analysis to infer properties of an underlying distribution of probability. Inferential statistical analysis...
between two or more groups of cases. Linear discriminant analysis (LDA) computes a linear predictor from two sets of normally distributed data to allow for classification...
The Public DataGroup (PDG) was a grouping of data providing organisations owned by the UK government. It was formed in 2011 to improve the amount and...
Data modeling in software engineering is the process of creating a data model for an information system by applying certain formal techniques. It may...
explicit (finite-parametric) mathematical forms for distributions when modeling data. However, it may make some assumptions about that distribution, such as continuity...
Data mining is the process of extracting and discovering patterns in large data sets involving methods at the intersection of machine learning, statistics...
Big data primarily refers to data sets that are too large or complex to be dealt with by traditional data-processing application software. Data with many...
a data stream is the transmission of a sequence of digitally encoded signals to convey information. Typically, the transmitted symbols are grouped into...
DataFlow Group is a global provider of Employment Verification Services, including background screening and immigration compliance. DataFlow Group, founded...
A data center (American English) or data centre (Commonwealth English) is a building, a dedicated space within a building, or a group of buildings used...
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