Code for SIGGRAPH 2024 (ToG) paper "Specular Polynomials"

A Stata package for bi-variate maps

Line Segmentation Based on Bi-variate Gauss Statistic and Distance Metric; and Handwritten Recognition

Bivariate histogram plot from polar coordinates / position vectors in MATLAB.

metaanalysis projects

Fast streaming univariate and bivariate moments and t-statistics

Compute a moving sample Pearson product-moment correlation distance incrementally.

I Learnt how to make regression for bivariate data in my Statistics class today, So I made a small program to do the same, it takes x and y arrays and outputs a linear equation with slope and constant.

Strip Plot, Grouping with Strip Plot, Swarm Plot, Box and Violin Plot, placing plots together, Combining the plots, Joint Plot, Density Plot, Pair Plot

Compute a moving sample Pearson product-moment correlation coefficient incrementally.

Demonstration of the Gaussian Mixture Model (GMM) for the bivariate normal distribution along with a derivation of the E and M steps.

Compute a sample Pearson product-moment correlation distance.

Compute a sample Pearson product-moment correlation coefficient.

Polynomials are mathematical objects which are expressions of variables and coefficients added to-gether. These polynomials can use operator overloading in a very intuitive manner since most of the operators that we can overload are mathematical operators, which can also be applied to polynomials.

Used libraries and functions as follows:

Map showing where Trump voters would be most impacted by medicaid cuts

Enhance XYZ shop's delivery efficiency by evaluating five delivery services using a comprehensive dashboard to gain insights to improve the selection of delivery service companies.

PISA 2012 data visualisation. Univariate, bivariate and multivariate exploration.

Animate Bivariate Normal Distribution using JAX and Matplotlib and making it interactive using ipywidgets.