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GGobi
GGobi is a free statistical software tool for interactive data visualization. GGobi allows extensive exploration of the data with Interactive dynamic graphics. It is also a tool for looking at multivariate data. R can be used in sync with GGobi (througrggobi. The GGobi software can be embedded as a library in other programs and program packages using an application programming interface (API) (integration into a stand-alone application) or as an add-on to existing languages and scripting environments, e.g., with the R command line or from a Perl or Python scripts. GGobi prides itself on its ability to link multiple graphs together. Overview GGobi was created to look at data matrices. The designers were interested in exploring multi-dimensional data. The program developers went through many name changes before settling on GGobi (A combination of the words GTK+ and the Gobi Desert). The original concept, Dataviewer, began in the mid-80s, and a predecessor, XGobi, began in ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Exploratory Data Analysis
In statistics, exploratory data analysis (EDA) is an approach of analyzing data sets to summarize their main characteristics, often using statistical graphics and other data visualization methods. A statistical model can be used or not, but primarily EDA is for seeing what the data can tell us beyond the formal modeling and thereby contrasts traditional hypothesis testing. Exploratory data analysis has been promoted by John Tukey since 1970 to encourage statisticians to explore the data, and possibly formulate hypotheses that could lead to new data collection and experiments. EDA is different from initial data analysis (IDA), which focuses more narrowly on checking assumptions required for model fitting and hypothesis testing, and handling missing values and making transformations of variables as needed. EDA encompasses IDA. Overview Tukey defined data analysis in 1961 as: "Procedures for analyzing data, techniques for interpreting the results of such procedures, ways of pla ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Dianne Cook (statistician)
Dianne Helen Cook is an Australian statistician, the editor of the ''Journal of Computational and Graphical Statistics'', and an expert on the visualization of high-dimensional data. She is Professor of Business Analytics in the Department of Econometrics and Business Statistics at Monash University and professor emeritus of statistics at Iowa State University. The emeritus status was chosen so that she could continue to supervise graduate students at Iowa State after moving to Australia. (shared blog with Heike Hofmann) Education and early life Dianne Helen Cook grew up in |
Parallel Coordinates
Parallel coordinates are a common way of visualizing and analyzing high-dimensional datasets. To show a set of points in an ''n''-dimensional space, a backdrop is drawn consisting of ''n'' parallel lines, typically vertical and equally spaced. A point in ''n''-dimensional space is represented as a polyline with vertices on the parallel axes; the position of the vertex on the ''i''-th axis corresponds to the ''i''-th coordinate of the point. This visualization is closely related to time series visualization, except that it is applied to data where the axes do not correspond to points in time, and therefore do not have a natural order. Therefore, different axis arrangements may be of interest. History Parallel coordinates were often said to be invented by Philbert Maurice d'Ocagne in 1885, but even though the words "Coordonnées parallèles" appear in the book title this work has nothing to do with the visualization techniques of the same name; the book only describes a met ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Heike Hofmann
Heike Hofmann (born 16 April 1972) is a statistician and Professor in the Department of Statistics at Iowa State University. Education She earned an MSc in Mathematics, with a minor in Computer Science, and a PhD in Statistics, from the University of Augsburg, Augsburg, Germany in 1998 and 2000, respectively. Career and research Hoffman's research interests are in statistical graphics, exploratory data analysis, visual inference, visualization of large data and statistical computing She is currently Professor in the Department of Statistics at Iowa State University, and faculty member of the Bioinformatics and Computational Biology and Human Computer Interaction programs. In her research on interactive data visualization she has provided new approaches for plotting multivariate categorical data using mosaic plots, and making interactions with these plots, and linking between plots. She was the primary development of the software MANET and contributed to the development of t ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Deborah F
According to the Book of Judges, Deborah ( he, דְּבוֹרָה, ''Dəḇōrā'', " bee") was a prophetess of the God of the Israelites, the fourth Judge of pre-monarchic Israel and the only female judge mentioned in the Bible. Many scholars contend that the phrase, "a woman of Lappidot", as translated from biblical Hebrew in Judges 4:4 denotes her marital status as the wife of Lappidot.Van Wijk-Bos, Johanna WH. ''The End of the Beginning: Joshua and Judges''. Wm. B. Eerdmans Publishing, 2019. Alternatively, "lappid" translates as "torch" or "lightning", therefore the phrase, "woman of Lappidot" could be referencing Deborah as a "fiery woman." Deborah told Barak, an Israelite general from Kedesh in Naphtali, that God commanded him to lead an attack against the forces of Jabin king of Canaan and his military commander Sisera (Judges 4:6–7); the entire narrative is recounted in chapter 4. Judges chapter 5 gives the same story in poetic form. This passage, often called ''T ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Projection Pursuit
Projection pursuit (PP) is a type of statistical technique which involves finding the most "interesting" possible projections in multidimensional data. Often, projections which deviate more from a normal distribution are considered to be more interesting. As each projection is found, the data are reduced by removing the component along that projection, and the process is repeated to find new projections; this is the "pursuit" aspect that motivated the technique known as matching pursuit. The idea of projection pursuit is to locate the projection or projections from high-dimensional space to low-dimensional space that reveal the most details about the structure of the data set. Once an interesting set of projections has been found, existing structures (clusters, surfaces, etc.) can be extracted and analyzed separately. Projection pursuit has been widely used for blind source separation, so it is very important in independent component analysis. Projection pursuit seeks one projecti ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Grand Tour (data Visualisation)
The Grand Tour is a technique developed by Daniel Asimov in 1985, which is used to explore multivariate statistical data by means of an animation. The animation, or "movie", consists of a series of distinct views of the data as seen from different directions, displayed on a computer screen, that appear to change continuously and that get closer and closer to all possible views. This allows a human- or computer-based evaluation of these views, with the goal of detecting patterns that will convey useful information about the data. This technique is like what many museum visitors do when they encounter a complicated abstract sculpture: They walk around it to view it from all directions, in order to understand it better. The human visual system perceives visual information as a pattern on the retina, which is 2-dimensional. Thus walking around the sculpture to understand it better creates a temporal sequence of 2-dimensional images in the brain. The multivariate data that is the origin ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Scatterplot Matrix
A scatter plot (also called a scatterplot, scatter graph, scatter chart, scattergram, or scatter diagram) is a type of plot or mathematical diagram using Cartesian coordinates to display values for typically two variables for a set of data. If the points are coded (color/shape/size), one additional variable can be displayed. The data are displayed as a collection of points, each having the value of one variable determining the position on the horizontal axis and the value of the other variable determining the position on the vertical axis. Overview A scatter plot can be used either when one continuous variable is under the control of the experimenter and the other depends on it or when both continuous variables are independent. If a parameter exists that is systematically incremented and/or decremented by the other, it is called the ''control parameter'' or independent variable and is customarily plotted along the horizontal axis. The measured or dependent variable is ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Scatterplot
A scatter plot (also called a scatterplot, scatter graph, scatter chart, scattergram, or scatter diagram) is a type of plot or mathematical diagram using Cartesian coordinates to display values for typically two variables for a set of data. If the points are coded (color/shape/size), one additional variable can be displayed. The data are displayed as a collection of points, each having the value of one variable determining the position on the horizontal axis and the value of the other variable determining the position on the vertical axis. Overview A scatter plot can be used either when one continuous variable is under the control of the experimenter and the other depends on it or when both continuous variables are independent. If a parameter exists that is systematically incremented and/or decremented by the other, it is called the ''control parameter'' or independent variable and is customarily plotted along the horizontal axis. The measured or dependent variable is cu ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Barchart
A bar chart or bar graph is a chart or graph that presents categorical data with rectangular bars with heights or lengths proportional to the values that they represent. The bars can be plotted vertically or horizontally. A vertical bar chart is sometimes called a column chart. A bar graph shows comparisons among discrete categories. One axis of the chart shows the specific categories being compared, and the other axis represents a measured value. Some bar graphs present bars clustered in groups of more than one, showing the values of more than one measured variable. History Many sources consider William Playfair (1759-1824) to have invented the bar chart and the ''Exports and Imports of Scotland to and from different parts for one Year from Christmas 1780 to Christmas 1781'' graph from his ''The Commercial and Political Atlas'' to be the first bar chart in history. Diagrams of the velocity of a constantly accelerating object against time published in ''The Latitude of Forms'' ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
