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What a Carve Up! is a satirical novel by Jonathan Coe, published in the UK by Viking Press in April 1994. It was published in the United States by Alfred A Knopf in January 1995 under the title The Winshaw Legacy: or, What a Carve Up!
What a Carve Up! is a 1961 British comedy-horror film directed by Pat Jackson and starring Sid James, Kenneth Connor, and Shirley Eaton. [1] It was released in the United States in 1962 as No Place Like Homicide. [2] It was written by Ray Cooney and Tony Hilton, loosely based on the 1928 novel The Ghoul by Frank King. [3]
Jonathan Coe FRSL (/ k oʊ /; born 19 August 1961) is an English novelist and writer.His work has an underlying preoccupation with political issues, although this serious engagement is often expressed comically in the form of satire. [1]
What a Carve Up! may refer to: (film) , a 1961 film starring Sid James and Kenneth Connor (2020 film) , a 2020 film starring Sharon D. Clarke and Griff Rhys Jones
An UpSet Plot showing how movie genres intersect. The largest intersection of two sets is the Comedy-Drama intersection. UpSet plots are a data visualization method for showing set data with more than three intersecting sets. UpSet shows intersections in a matrix, with the rows of the matrix corresponding to the sets, and the columns to the ...
The PPCC plot is formed by: Vertical axis: Probability plot correlation coefficient; Horizontal axis: Value of shape parameter. That is, for a series of values of the shape parameter, the correlation coefficient is computed for the probability plot associated with a given value of the shape parameter. These correlation coefficients are plotted ...
Mosaic plot showing cross-sectional distribution through time of different musical themes in the Guardian's list of "1000 songs to hear before you die". A mosaic plot , Marimekko chart , Mekko chart , or sometimes percent stacked bar plot , is a graphical visualization of data from two or more qualitative variables. [ 1 ]
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 standard errors. [1] Example for Galbraith's radial plot. It can be used to examine heterogeneity in a meta-analysis, as an alternative or supplement to a forest plot.