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Panel analysis. Panel ( data) analysis is a statistical method, widely used in social science, epidemiology, and econometrics to analyze two-dimensional (typically cross sectional and longitudinal) panel data. [ 1] The data are usually collected over time and over the same individuals and then a regression is run over these two dimensions.
2channel ( Japanese: 2ちゃんねる, Hepburn: ni channeru), also known as 2ch, [ 5] Channel 2, [ 6][ 7] and sometimes retrospectively as 2ch.net, [ 8] was an anonymous Japanese textboard [ b] founded in 1999 by Hiroyuki Nishimura. Described in 2007 as "Japan's most popular online community", [ 9] the site had a level of influence comparable ...
Data analysis is the process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making. [ 1] Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, and is used in different business, science ...
Panel data. In statistics and econometrics, panel data and longitudinal data[ 1][ 2] are both multi-dimensional data involving measurements over time. Panel data is a subset of longitudinal data where observations are for the same subjects each time. Time series and cross-sectional data can be thought of as special cases of panel data that are ...
Multiway data analysis. Multiway data analysis is a method of analyzing large data sets by representing a collection of observations as a multiway array, . The proper choice of data organization into (C+1) -way array, and analysis techniques can reveal patterns in the underlying data undetected by other methods. [1]
Social media analytics or social media monitoring is the process of gathering and analyzing data from social networks such as Facebook, Instagram, LinkedIn, or Twitter. A part of social media analytics is called social media monitoring or social listening. It is commonly used by marketers to track online conversations about products and companies.
In statistics, multiple correspondence analysis ( MCA) is a data analysis technique for nominal categorical data, used to detect and represent underlying structures in a data set. It does this by representing data as points in a low-dimensional Euclidean space. The procedure thus appears to be the counterpart of principal component analysis for ...
Social network analysis ( SNA) is the process of investigating social structures through the use of networks and graph theory. [ 1] It characterizes networked structures in terms of nodes (individual actors, people, or things within the network) and the ties, edges, or links (relationships or interactions) that connect them.