scholarly journals Quantitative Variable

2020 ◽  
Author(s):  
2019 ◽  
Vol 5 (2) ◽  
pp. 11-20
Author(s):  
Marcin Kozak

Abstract The information world is full of labeled quantitative data, in which a number of qualitative categories are to be compared based on a quantitative variable. Their graphical representations are various and serve different audiences and purposes. Based on a simple data set and its different visualizations, we will play with the data and their visual representation. We will use well-known charts, such as a regular table, a bar plot, and a word cloud; less-know, such as Cleveland’s dot plot, a fan plot, and a text-table; and new ones, constructed for the very aim of this essay, such as a labeled rectangle plot and a ruler-like graph. Our discussion will not aim to choose the best graph but rather to show the different faces of visualizing labeled quantitative data. I hope to convince the readers that it is always worth spending a minute on pondering how to present their data.


2015 ◽  
Vol 14 (4) ◽  
pp. 452-477 ◽  
Author(s):  
Andrey V. Rezaev ◽  
Dmitrii M. Zhikharevich ◽  
Pavel P. Lisitsyn

The paper argues that a materialistic understanding of history as Marx’s sociological research program has effectively been implemented in the comparative analysis of bourgeois societies. Both qualitative/case-oriented and quantitative/variable-oriented strategies of comparison were employed by Marx in his scholarship. The authors see the crucial dimension of the classical status of Marx in his engagement with historical comparisons – an analytical tendency he shares with Weber and, to some extent, Durkheim. A short historical exposition tracing the early reception of Marx in sociology continues with the most important contemporary criticisms of Marx’s comparative-historical analysis, focusing on the issues of Asiatic mode of production, the nature of European feudalism and the problem of capitalist rationality.


2017 ◽  
Vol 4 (1) ◽  
Author(s):  
José Celso Rocha ◽  
Felipe José Passalia ◽  
Felipe Delestro Matos ◽  
Maria Beatriz Takahashi ◽  
Marc Peter Maserati Jr ◽  
...  

2018 ◽  
Vol 2 (3) ◽  
pp. 235-239 ◽  
Author(s):  
Kate Gardner ◽  
Tony Fulford ◽  
Nicholas Silver ◽  
Helen Rooks ◽  
Nikolaos Angelis ◽  
...  

Key Points The 3 established HbF genetic loci can be summarized into 1 quantitative variable, g(HbF), in SCD and influence markers of SCD severity. g(HbF) provides a quantitative marker for the genetic component of HbF% variability, potentially useful in genetic and clinical studies in SCD.


2020 ◽  
Vol 215 (5) ◽  
pp. 1163-1170
Author(s):  
Michael V. Friedman ◽  
Travis J. Hillen ◽  
Sunil Misra ◽  
Charles F. Hildebolt ◽  
David A. Rubin

1977 ◽  
Vol 26 (1) ◽  
pp. 29-41 ◽  
Author(s):  
Udo Rempe ◽  
Detlev Hosenfeld

The analysis of quantitative inheritance is complicated by age dependent changes. It is possible to describe them by two separate 5-degree polynomials for boys and girls of one family. Supposing a parallel shifting of these pairs of curves for different families, it is possible to calculate the mean course of such a family specific pair even if only a few children were examined at a few termins. By use of these fitted functions it is possible to estimate the value of the quantitative variable for the examined children at a constant age and to eliminate the influence of sex. Similarly, it is possible to eliminate age-caused differences of the parents. Using the age-corrected values of children, mothers and fathers, it is possible to investigate the relations between the values of parents {not midparents !) and children by means of a two-dimensional polynomial approximation. The resulting complicated formulas can be visualized by plotting lines of equal character values of the children in a diagram with the character values of the fathers on the ordinate and those of the mothers on the abscissa. Effects of dominance and of epistasis can be demonstrated by this method. Some results using data of enzyme activities as an example are discussed.


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