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189: : These are a type of graph used in statistics. A biplot allows information on both samples and variables of a data matrix to be displayed graphically. Samples are displayed as points while variables are displayed either as vectors, linear axes or nonlinear trajectories. In the case of categorical variables, category level points may be used to represent the levels of a categorical variable. A generalised biplot displays information on both continuous and categorical variables.
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887: : In electrical engineering, a shmoo plot is a graphical display of the response of a component or system varying over a range of conditions and inputs. Often used to represent the results of the testing of complex electronic systems such as computers, ASICs or microprocessors. The plot usually shows the range of conditions in which the
642: : In applied statistics, a partial regression plot attempts to show the effect of adding another variable to the model (given that one or more independent variables are already in the model). Partial regression plots are also referred to as added variable plots, adjusted variable plots, and individual coefficient plots.
265: : A two-dimensional plot where the data are presented in a hierarchy with multiple levels. The levels are nested in the sense that the pieces in each pie chart add up to 100%. A waterfall or waterdrop metaphor is used to link each layer to the one below visually conveying the hierarchical structure.
58:
were used. Graphs are a visual representation of the relationship between variables, which are very useful for humans who can then quickly derive an understanding which may not have come from lists of values. Given a scale or ruler, graphs can also be used to read off the value of an unknown variable
897:
are a method of viewing data to visualize possible flows through systems. Flows depicted in this manner appear like noodles, hence the coining of this term. This method of statistics was first used to track routing through factories. Visualizing flow in this manner can reduce inefficiency within
159:
Graphical procedures such as plots are a short path to gaining insight into a data set in terms of testing assumptions, model selection, model validation, estimator selection, relationship identification, factor effect determination, outlier detection. Statistical graphics give insight into aspects
20:
568:. The data are plotted against a theoretical normal distribution in such a way that the points should form an approximate straight line. Departures from this straight line indicate departures from normality. The normal probability plot is a special case of the
648: : In applied statistics, a partial residual plot is a graphical technique that attempts to show the relationship between a given independent variable and the response variable given that other independent variables are also in the model.
996: : A graphical method of displaying multivariate data. Each star represents a single observation. Typically, star plots are generated in a multi-plot format with many stars on each page and each star representing one observation.
590:. It is represented by a graph in polar coordinates in which the gain and phase of a frequency response are plotted. The plot of these phasor quantities shows the phase as the angle and the magnitude as the distance from the origin.
880:
for a set of data. The data is 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
674:
of the chosen distribution. The data are plotted against a theoretical distribution in such a way that the points should form approximately a straight line. Departures from this straight line indicate departures from the specified
1003:, a surface is plotted to fit a set of data triplets (X, Y, Z), where Z if obtained by the function to be plotted Z=f(X, Y). Usually, the set of X and Y values are equally spaced. Optionally, the plotted values can be color-coded.
443:
data. Data points may be labelled if there are few of them. Dot plots are one of the simplest plots available, and are suitable for small to moderate sized data sets. They are useful for highlighting clusters and gaps, as well as
95:. The procedures here can broadly be split into two parts: quantitative and graphical. Quantitative techniques are a set of statistical procedures that yield numeric or tabular output. Examples of quantitative techniques include:
122:
These and similar techniques are all valuable and are mainstream in terms of classical analysis. There are also many statistical tools generally referred to as graphical techniques. These include:
787:
259:
often used in particle physics to represent the relative frequency of various (kinematically distinct) manners in which the products of certain (otherwise similar) three-body decays may move apart
1407:
454: : is a graphical display that shows the strength of the evidence in quantitative scientific studies. It was developed for use in medical research as a means of graphically representing a
227:(the smallest observation, lower quartile (Q1), median (Q2), upper quartile (Q3), and largest observation). A boxplot may also indicate which observations, if any, might be considered outliers.
518: : In statistics, a Galbraith plot (also known as Galbraith's radial plot or just radial plot), is one way of displaying several estimates of the same quantity that have different
401: : This is a useful graph designed to check the existence of publication bias in meta-analyses. Funnel plots, introduced by Light and Pillemer in 1994 and discussed in detail by
1084: : Vector field plots (or quiver plots) show the direction and the strength of a vector associated with a 2D or 3D points. They are typically used to show the strength of the
1106:). Typically violin plots will include a marker for the median of the data and a box indicating the interquartile range, as in standard box plots. Overlaid on this box plot is a
223: : In descriptive statistics, a boxplot, also known as a box-and-whisker diagram or plot, is a convenient way of graphically depicting groups of numerical data through their
986:. Unlike histograms, stemplots retain the original data to at least two significant digits, and put the data in order, thereby easing the move to order-based inference and
1227: : This plot compares two biological sequences and is a graphical method that allows the identification of regions of close similarity between them. It is a kind of
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1110:. Violin plots are available as extensions to a number of software packages, including R through the vioplot library, and Stata through the vioplot add-in.
2463:
54:
showing the relationship between two or more variables. The plot can be drawn by hand or by a computer. In the past, sometimes mechanical or electronic
2134:
1653:
1289:
1320:, from which, for example, the probability of a man's height being in a specified range can be derived, given data for the adult male population.
2104:
534:
233: : A two-dimensional plot that illustrates the interaction between two and three independent variables and one to three dependent variables.
144:
713: : In descriptive statistics and chaos theory, a recurrence plot (RP) is a plot showing, for a given moment in time, the times at which a
966: : A stemplot (or stem-and-leaf plot), in statistics, is a device for presenting quantitative data in a graphical format, similar to a
262:
236:
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59:
plotted as a function of a known one, but this can also be done with data presented in tabular form. Graphs of functions are used in
1813:
332:
1309:
curves, simple graphs used in economics to relate supply and demand to price. The graphs can be used together to determine the
1237: : This plot compares the reciprocals of reaction rate and substrate concentration. It is used to represent and determine
1733:
1564:
1043:
plot on three variables which sum to a constant. It graphically depicts the ratios of the three variables as positions in an
1040:
2585:
1723:
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1525:
Flegel WA, Srivastava K (2024). "40 years of researching the Del phenotype results in a change of transfusion practice".
1725:
Introduction to
Engineering Statistics and Lean Sigma: Statistical Quality Control and Design of Experiments and Systems
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2518:
2124:
1482:
Bland JM, Altman DG (1986). "Statistical methods for assessing agreement between two methods of clinical measurement".
1710:
651:
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207:, which is what it is still known as in other fields, but was popularised in medical statistics by Bland and Altman.
2129:
462:. In the last twenty years, similar meta-analytical techniques have been applied in observational studies (e.g.
409:
of treatment effect against a measure of study size. It is used primarily as a visual aid to detecting bias or
180:
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703:
has been taken and a comparison distribution. An example of the kind of differences that can be tested for is
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1221:). Arrhenius plots are often used to analyze the effect of temperature on the rates of chemical reactions.
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239: : A two- or three-dimensional animated plot in which the data points are traced on the screen.
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522:. It can be used to examine heterogeneity in a meta-analysis, as an alternative or supplement to a
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1447:
Altman DG, Bland JM (1983). "Measurement in medicine: the analysis of method comparison studies".
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on which the plotted quantity q is a constant. Optionally, the plotted values can be color-coded.
1062:, and other physical sciences to show the compositions of systems composed of three species. In
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318:
2468:
2020:
1907:
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1039: : A ternary plot, ternary graph, triangle plot, simplex plot, or de Finetti diagram is a
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chart, which represents the power radiated in all directions by an antenna of specified type.
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560: : The normal probability plot is a graphical technique for assessing whether or not a
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2357:
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2200:
2144:
2109:
2005:
1902:
1877:
1755:
Hintze Jerry L.; Nelson Ray D. (1998). "Violin Plots: A Box Plot-Density Trace
Synergism".
1310:
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663:
431:
chart consisting of group of data points plotted on a simple scale. Dot plots are used for
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1667:
Galbraith, Rex (1988). "Graphical display of estimates having differing standard errors".
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654: : The probability plot is a graphical technique for assessing whether or not a
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466:) and forest plots are often used in presenting the results of such studies also.
1094: : Violin plots are a method of plotting numeric data. They are similar to
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245: : A two-dimensional plot which shows the one-dimensional curves, called
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Types of graphs and their uses vary very widely. A few typical examples are:
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195: : In analytical chemistry and biostatistics this plot is a method of
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and colleagues, are useful adjuncts to meta-analyses. A funnel plot is a
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of the data at different values (in the simplest case this could be a
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876: : A scatter graph or scatter plot is a type of display using
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681:: Several line plots, vertically stacked and slightly overlapping.
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1327:, relating temperature, pressure, humidity, and other quantities.
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Non-rectangular coordinates: the above all use two-dimensional
691:) is a graphical method for diagnosing differences between the
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plotting used in analysing the agreement between two different
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1557:
Computer Aided
Graphing and Simulation Tools for AutoCAD Users
1945:
1355:
1153: : This plot compares the logarithm of a reaction rate (
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200:
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gallery of some useful graphical techniques at itl.nist.gov.
1754:
1604:"Bias in meta-analysis detected by a simple, graphical test"
196:
1821:
1970:
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338:
Phase path of
Duffing oscillator plotted as a comet plot
1411:
1584:. Cambridge, Massachusetts.: Harvard University Press.
1316:
Simple graph used for reading values: the bell-shaped
1195:
1159:
841:
821:
801:
782:{\displaystyle {\vec {x}}(i)\approx {\vec {x}}(j),\,}
729:
1705:
3rd
Edition, Thomson Brooks/Cole, 2005, pp 166–167.
982:'s work in the early 1900s, and are useful tools in
550:of the magnitude is plotted against the phase of a
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1721:
1602:, M. Schneider & C. Minder (September 1997).
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999:Surface plot : In this visualization of the
2685:
1524:
1144:
687: : In statistics, a Q–Q plot (Q stands for
1545:
1412:National Institute of Standards and Technology
1807:
1582:Summing up: The Science of Reviewing Research
586:for assessing the stability of a system with
1675:(3). American Society for Quality: 271–281.
1652:: CS1 maint: multiple names: authors list (
1559:(1st ed.). Boca Raton, FL: CRC Press.
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1446:
1318:normal or Gaussian probability distribution
1189:axis) plotted against inverse temperature (
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658:follows a given distribution such as the
160:of the underlying structure of the data.
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1338:, sometimes in three dimensions, is the
18:
167:, typically by finding where two plots
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163:Graphs can also be used to solve some
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1715:
1418:
1580:R. J. Light; D. B. Pillemer (1984).
1455:(3). Blackwell Publishing: 307–317.
1313:(essentially, to solve an equation).
13:
717:. In other words, it is a graph of
666:, and for visually estimating the
14:
2710:
1779:
1435:e-Handbook of Statistical Methods
1098:, except that they also show the
1088:over the plane or a surface area.
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16:Graphical technique for data sets
1406: This article incorporates
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542: : This is a graph used in
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87:Plots play an important role in
1748:
970:, to assist in visualizing the
707:of the population distribution.
1769:10.1080/00031305.1998.10480559
1695:
1660:
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1437:6 January 2003 (Date created).
1334:; an example of a graph using
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772:
766:
760:
748:
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350:Animated marker over a 2D plot
181:Commons:Category:Plots by type
1:
1838:Biological data visualization
1496:10.1016/S0140-6736(86)90837-8
1396:
1145:Plots for specific quantities
1001:graph of a bivariate function
26:of the eruption interval for
460:randomized controlled trials
7:
1349:
1296:
1275:
82:
10:
2715:
1878:Mathematical visualization
1722:Theodore T. Allen (2010).
857:{\displaystyle {\vec {x}}}
835:on a vertical axis, where
464:environmental epidemiology
205:Tukey mean-difference plot
178:
2556:
2426:
2290:
2244:
2168:
2067:
2036:
2029:
1936:
1873:Information visualization
1858:Educational visualization
1830:
1757:The American Statistician
1728:. Springer. p. 128.
1703:Seeing Through Statistics
1555:Simionescu, P.A. (2014).
1391:List of plotting programs
1376:List of graphical methods
1269:Dot plot (bioinformatics)
1225:Dot plot (bioinformatics)
1108:kernel density estimation
988:non-parametric statistics
984:exploratory data analysis
815:on a horizontal axis and
2049:Charles-René de Fourcroy
1898:Scientific visualization
1825:of technical information
1622:10.1136/bmj.315.7109.629
1323:Very complex graph: the
693:probability distribution
578: : Plot is used in
411:systematic heterogeneity
117:least squares regression
1533:(7). Wiley: 1187–1190.
1332:rectangular coordinates
1074:, it is often called a
1066:, it is often called a
640:Partial regression plot
618:Normal probability plot
558:Normal probability plot
203:. It is identical to a
2469:Christopher R. Johnson
2021:Technical illustration
1908:Software visualization
1431:"The Role of Graphics"
1429:NIST/SEMATECH (2003).
1408:public domain material
1211:
1179:
1178:{\displaystyle \ln(k)}
858:
829:
809:
783:
697:statistical population
391:Parallel Category Plot
165:mathematical equations
35:
2363:Lawrence J. Rosenblum
2176:Edward Walter Maunder
2100:Charles Joseph Minard
1918:User interface design
1893:Product visualization
1212:
1180:
898:the flow of a system.
859:
830:
810:
784:
646:Partial residual plot
494:Dot plot (statistics)
417:Dot plot (statistics)
225:five-number summaries
22:
2643:Scientific modelling
2618:Information graphics
2358:Clifford A. Pickover
2308:William S. Cleveland
2216:Henry Norris Russell
2201:Howard G. Funkhouser
2145:Florence Nightingale
2110:Francis Amasa Walker
2006:Statistical graphics
1928:Volume visualization
1903:Social visualization
1311:economic equilibrium
1235:Lineweaver–Burk plot
1193:
1157:
978:. They evolved from
839:
819:
799:
727:
566:normally distributed
112:confidence intervals
110:point estimates and
106:analysis of variance
2623:Information science
2586:in computer science
2378:Sheelagh Carpendale
2313:George G. Robertson
2150:Karl Wilhelm Pohlke
2085:André-Michel Guerry
1961:Graph of a function
1956:Engineering drawing
1366:Graph of a function
1325:psychrometric chart
1210:{\displaystyle 1/T}
1100:probability density
1064:population genetics
554:on orthogonal axes.
79:, and other areas.
46:for representing a
44:graphical technique
2663:Volume cartography
2427:Early 21st century
2323:Catherine Plaisant
2318:Bruce H. McCormick
2272:Mary Eleanor Spear
2262:Arthur H. Robinson
2196:Arthur Lyon Bowley
2169:Early 20th century
2016:Technical drawings
1888:Molecular graphics
1863:Flow visualization
1853:Data visualization
1207:
1175:
1068:de Finetti diagram
854:
825:
805:
779:
552:frequency response
458:of the results of
36:
2681:
2680:
2658:Visual perception
2608:Graphic organizer
2581:Computer graphics
2552:
2551:
2534:Martin Wattenberg
2509:Hanspeter Pfister
2464:Martin Krzywinski
2388:Jock D. Mackinlay
2368:Thomas A. DeFanti
2291:Late 20th century
2211:Ejnar Hertzsprung
1913:Technical drawing
1735:978-1-84882-999-2
1701:Utts, Jessica M.
1616:(7109): 629–634.
1566:978-1-4822-5290-3
1539:10.1111/trf.17913
1381:Plotting software
1343:radiation pattern
1336:polar coordinates
1307:Supply and demand
889:device under test
851:
828:{\displaystyle j}
808:{\displaystyle i}
763:
739:
584:signal processing
580:automatic control
564:is approximately
544:signal processing
297:Bland–Altman plot
193:Bland–Altman plot
140:probability plots
2706:
2694:Plots (graphics)
2668:Volume rendering
2653:Visual analytics
2648:Spatial analysis
2628:Misleading graph
2479:David McCandless
2454:Gordon Kindlmann
2418:Alfred Inselberg
2413:Leland Wilkinson
2348:Michael Friendly
2282:Howard T. Fisher
2245:Mid 20th century
2186:W. E. B. Du Bois
2090:William Playfair
2080:Adolphe Quetelet
2054:Joseph Priestley
2037:Pre-19th century
2034:
2033:
2001:Skeletal formula
1868:Geovisualization
1843:Chemical imaging
1816:
1809:
1802:
1793:
1792:
1773:
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1490:(8476): 307–10.
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1473:
1472:
1449:The Statistician
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1213:
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1120:
1050:. It is used in
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914:probability plot
908:
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672:scale parameters
652:Probability plot
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570:probability plot
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377:Logarithmic plot
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2673:Information art
2613:Imaging science
2558:
2548:
2529:Fernanda Viégas
2524:Moritz Stefaner
2449:Jessica Hullman
2422:
2393:Alan MacEachren
2343:Ben Shneiderman
2286:
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1938:
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1883:Medical imaging
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1681:10.2307/1270081
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1461:10.2307/2987937
1445:
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1399:
1352:
1299:
1292:
1287:
1278:
1271:
1266:
1257:
1252:
1239:enzyme kinetics
1229:recurrence plot
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711:Recurrence plot
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520:standard errors
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496:
491:
482:
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393:
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12:
11:
5:
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2696:
2679:
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2638:Patent drawing
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2603:Graphic design
2600:
2595:
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2499:Tamara Munzner
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2284:
2279:
2277:Edgar Anderson
2274:
2269:
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2252:Jacques Bertin
2248:
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2239:
2238:
2233:
2228:
2223:
2218:
2213:
2208:
2206:John B. Peddle
2203:
2198:
2193:
2188:
2183:
2178:
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2170:
2166:
2165:
2163:
2162:
2160:Francis Galton
2157:
2155:Toussaint Loua
2152:
2147:
2142:
2137:
2135:Georg von Mayr
2132:
2127:
2125:Matthew Sankey
2122:
2117:
2112:
2107:
2102:
2097:
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2087:
2082:
2077:
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2040:
2038:
2031:
2027:
2026:
2024:
2023:
2018:
2013:
2008:
2003:
1998:
1993:
1991:Sankey diagram
1988:
1983:
1978:
1973:
1968:
1963:
1958:
1953:
1948:
1942:
1940:
1934:
1933:
1931:
1930:
1925:
1923:Visual culture
1920:
1915:
1910:
1905:
1900:
1895:
1890:
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1875:
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1828:
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1818:
1811:
1804:
1796:
1790:
1789:
1781:
1780:External links
1778:
1775:
1774:
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1734:
1714:
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1600:G. Davey Smith
1587:
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1305:Simple graph:
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1290:SteamTube plot
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956:Spaghetti plot
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679:Ridgeline plot
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623:
621:
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555:
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516:Galbraith plot
512:
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215:control theory
208:
190:
176:
175:Types of plots
173:
157:
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153:
147:
145:residual plots
142:
137:
132:
131:spectrum plots
129:
120:
119:
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108:
103:
84:
81:
15:
9:
6:
4:
3:
2:
2711:
2700:
2697:
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2639:
2636:
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2626:
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2621:
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2609:
2606:
2604:
2601:
2599:
2598:Graph drawing
2596:
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2540:
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2527:
2525:
2522:
2520:
2519:Claudio Silva
2517:
2515:
2512:
2510:
2507:
2505:
2502:
2500:
2497:
2495:
2492:
2490:
2487:
2485:
2484:Mauro Martino
2482:
2480:
2477:
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2470:
2467:
2465:
2462:
2460:
2457:
2455:
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2432:
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2425:
2419:
2416:
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2408:Michael Maltz
2406:
2404:
2401:
2399:
2396:
2394:
2391:
2389:
2386:
2384:
2381:
2379:
2376:
2374:
2373:George Furnas
2371:
2369:
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2353:Howard Wainer
2351:
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2260:
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2257:Rudolf Modley
2255:
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2250:
2249:
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2227:
2224:
2222:
2221:Max O. Lorenz
2219:
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2209:
2207:
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2199:
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2174:
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2138:
2136:
2133:
2131:
2130:Charles Booth
2128:
2126:
2123:
2121:
2118:
2116:
2113:
2111:
2108:
2106:
2105:Luigi Perozzo
2103:
2101:
2098:
2096:
2095:August Kekulé
2093:
2091:
2088:
2086:
2083:
2081:
2078:
2076:
2075:Charles Dupin
2073:
2072:
2070:
2066:
2060:
2059:Gaspard Monge
2057:
2055:
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2044:Edmond Halley
2042:
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2022:
2019:
2017:
2014:
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1848:Crime mapping
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1824:
1823:Visualization
1817:
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1810:
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1798:
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1766:
1763:(2): 181–84.
1762:
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1711:0-534-39402-7
1708:
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1669:Technometrics
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1410:from the
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1021:
1018:
1012:
1007:
1006:
1002:
998:
995:
992:
989:
985:
981:
980:Arthur Bowley
977:
973:
969:
965:
962:
961:
957:
951:
946:
943:
937:
932:
929:
922:
917:
913:
907:
902:
901:
896:
893:
891:will operate.
890:
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883:
879:
875:
872:
871:
867:
845:
822:
802:
794:
793:
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769:
757:
751:
745:
733:
723:
722:
721:
720:
716:
712:
709:
706:
705:non-normality
702:
701:random sample
699:from which a
698:
694:
690:
686:
683:
680:
677:
675:distribution.
673:
669:
665:
661:
657:
653:
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647:
644:
641:
638:
637:
633:
627:
622:
619:
613:
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599:
594:
593:
589:
585:
581:
577:
574:
571:
567:
563:
559:
556:
553:
549:
546:in which the
545:
541:
538:
536:
535:Lollipop plot
533:
531:
528:
525:
521:
517:
514:
513:
509:
503:
498:
495:
489:
484:
481:
475:
470:
469:
465:
461:
457:
456:meta-analysis
453:
450:
447:
442:
438:
434:
430:
426:
422:
418:
415:
412:
408:
404:
400:
397:
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386:
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372:
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329:
326:
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315:
312:
306:
301:
298:
292:
287:
284:
278:
273:
272:
268:
264:
261:
258:
254:
251:
248:
247:contour lines
244:
241:
238:
235:
232:
229:
226:
222:
219:
216:
212:
209:
206:
202:
198:
194:
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172:
170:
166:
161:
154:
151:
148:
146:
143:
141:
138:
136:
133:
130:
128:
127:scatter plots
125:
124:
123:
118:
115:
113:
109:
107:
104:
101:
98:
97:
96:
94:
93:data analysis
90:
80:
78:
74:
70:
66:
62:
57:
53:
49:
45:
41:
33:
29:
25:
21:
2633:Neuroimaging
2593:CPK coloring
2576:Color coding
2514:Hans Rosling
2494:Miriah Meyer
2459:Aaron Koblin
2444:Jeffrey Heer
2338:Edward Tufte
2333:Pat Hanrahan
2303:Nigel Holmes
2181:Otto Neurath
2120:Oliver Byrne
2068:19th century
1985:
1760:
1756:
1750:
1739:. Retrieved
1724:
1717:
1702:
1697:
1672:
1668:
1662:
1648:cite journal
1613:
1607:
1590:
1581:
1575:
1556:
1530:
1526:
1520:
1487:
1483:
1477:
1452:
1448:
1442:
1434:
1400:
1300:
1124:Ternary plot
1082:Vector field
1076:simplex plot
1075:
1037:Ternary plot
1030:Surface plot
976:distribution
632:Nyquist plot
604:Nichols plot
576:Nyquist plot
540:Nichols plot
437:quantitative
424:
420:
363:Contour plot
243:Contour plot
213:are used in
162:
158:
121:
86:
39:
37:
28:Old Faithful
2566:Cartography
2504:Ade Olufeko
2474:Manuel Lima
2403:Kwan-Liu Ma
2328:Stuart Card
2298:Borden Dent
2236:Erwin Raisz
2191:Henry Gantt
1527:Transfusion
1138:Violin plot
1092:Violin plot
1072:game theory
1045:equilateral
1041:barycentric
942:Scatterplot
874:Scatterplot
868:trajectory.
866:phase space
715:phase space
524:forest plot
508:Forest plot
480:Funnel plot
452:Forest plot
429:statistical
407:scatterplot
399:Funnel plot
325:Carpet plot
257:scatterplot
253:Dalitz plot
231:Carpet plot
155:block plots
69:engineering
61:mathematics
24:Scatterplot
2688:Categories
2489:John Maeda
2267:John Tukey
2231:Harry Beck
2226:Fritz Kahn
1976:Photograph
1741:2011-02-17
1397:References
1371:Line chart
1060:metallurgy
1056:mineralogy
885:Shmoo plot
441:univariate
433:continuous
419: : A
267:Drain Plot
263:Drain plot
237:Comet plot
211:Bode plots
179:See also:
135:histograms
100:hypothesis
89:statistics
73:technology
2571:Chartjunk
2539:Bang Wong
2434:Polo Chau
2140:John Snow
2115:John Venn
1996:Schematic
1981:Pictogram
1164:
1104:histogram
1096:box plots
1052:petrology
1017:Star plot
994:Star plot
968:histogram
926:A normal
878:variables
849:→
761:→
752:≈
737:→
548:logarithm
421:dot chart
169:intersect
150:box plots
2557:Related
1966:Ideogram
1786:Dataplot
1596:M. Egger
1350:See also
1297:Examples
1276:3D plots
1219:abscissa
1187:ordinate
1086:gradient
1048:triangle
964:Stemplot
928:Q–Q plot
795:showing
689:quantile
685:Q–Q plot
668:location
656:data set
588:feedback
562:data set
530:Heat map
446:outliers
425:dot plot
311:Box plot
221:Box plot
83:Overview
65:sciences
56:plotters
48:data set
2439:Ben Fry
1951:Diagram
1689:1270081
1640:9310563
1631:2127453
1512:2844897
1504:2868172
1469:2987937
1386:Plotter
1361:Diagram
1340:antenna
912:Weibull
664:Weibull
102:testing
77:finance
2699:Charts
2559:topics
2030:People
1937:Image
1831:Fields
1732:
1709:
1687:
1638:
1628:
1563:
1510:
1502:
1484:Lancet
1467:
1433:. In:
1070:. In
660:normal
283:Biplot
201:assays
187:Biplot
32:geyser
2011:Table
1946:Chart
1939:types
1685:JSTOR
1508:S2CID
1465:JSTOR
1356:Chart
974:of a
972:shape
881:axis.
864:is a
695:of a
427:is a
403:Egger
152:, and
52:graph
42:is a
1986:Plot
1730:ISBN
1707:ISBN
1654:link
1636:PMID
1561:ISBN
1500:PMID
670:and
582:and
197:data
91:and
40:plot
1971:Map
1765:doi
1677:doi
1626:PMC
1618:doi
1614:315
1609:BMJ
1535:doi
1492:doi
1457:doi
662:or
423:or
30:(a
2690::
1761:52
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