Datasets on the statistical and algebraic properties of primitive Pythagorean triples

Abstract

The data in this article was obtained from the algebraic and statistical analysis of the first 331 primitive Pythagorean triples. The ordered sample is a subset of the larger Pythagorean triples. A primitive Pythagorean triple consists of three integers a, b and c such that; a2+b2=c2. A primitive Pythagorean triple is one which the greatest common divisor (gcd), that is; gcd(a,b,c)=1 or a, b and c are coprime, and pairwise coprime. The dataset describe the various algebraic and statistical manipulations of the integers a, b and c that constitute the primitive Pythagorean triples. The correlation between the integers at each analysis was included. The data analysis of the non-normal nature of the integers was also included in this article. The data is open to criticism, adaptation and detailed extended analysis.

Exploration of editorial board composition, Citescore and percentiles of Hindawi journals indexed in Scopus

“…Some other statistical analysis can be applied based on the research aim of the researchers. See [1] , [2] , [3] , [4] , [5] , [6] , [7] , [8] , [9] , [10] , [11] , [12] , [13] , [14] , [15] , [16] , [17] , [18] , [19] , [20] , [21] , [22] , [23] , [24] , [25] , [26] , [27] , [28] , [29] for details.…”

Datasets on the statistical properties of the first 3000 squared positive integers

“…The digits sum or digital sum of integers has been a subject of interest because of its application in cryptography, primality testing, random number generation and data reduction. Details on the origin, theories and applications of the digits sum of squared positive integers, integers and other important number sequences can be found in [1] , [2] , [3] , [4] , [5] , [6] , [7] , [8] , [9] , [10] , [11] , [12] , [13] , [14] , [15] , [16] , [17] , [18] , [19] , [20] , [21] , [22] , [23] , [24] , [25] , [26] , [27] , [28] . Recently digits sum and digital root have been applied in the analysis of lotto results [29] .…”

Datasets on factors influencing trading on pedestrian bridges along Ikorodu road, Lagos, Nigeria

“…Others are transportation using bus rapid transit [11] , crime [12] , gambling [13] , housing, construction and estate management [14] , [15] , [16] , [17] , [18] , power outages [19] , [20] , water, sanitation, waste management and hygienic issues [21] , [22] , [23] , [24] , prostitution, sexual violence, HIV incidence and drug abuse [25] , [26] , [27] , [28] and unemployment [29] . In addition, other statistical analysis can be applied such as in [30] , [31] , [32] , [33] , [34] , [35] , [36] , [37] , [38] , [39] , [40] .…”