Making formula which is a concise way of expressing information symbolically as in a mathematical

Hello~ My project is making formula which is a concise way of expressing information symbolically as in a mathematical. I have matlab code. The code is density plot (dscatter.m file). I already understood the code. But, I can’t make formula for my research paper(thesis). I’d like to make detailed formula and explanations on my research paper. I requested my project to one freelancer one month ago. But, I don’t satisfy the result(microsoft word file) I can’t submit my paper. I will also attach the result, you can refer the result. That’s why I request to another freelancer again. My paper is about ‘Schematization(Visualization) of Collision Near-miss using the RGB Color Technique’. So, the dscatter matlab code is key on my paper. Density (=color) is key on my paper. Density can be displayed using RGB color. Making formula about RGB color based on the matlab code is key on my paper (dscatter.m). You can think creatively about formula of RGB color based on the matlab code. Is there anyone solve my project? If you contact me, I will send data file and matlab file. My project is making formula which is a concise way of expressing information symbolically as in a mathematical. one part of the code is as follows; ~~~~~~~~~~~~~~~~~ function hAxes = dscatter(X,Y) edges1 = linspace(minx, maxx, nbins(1)+1); ctrs1 = edges1(1:end-1) + .5*diff(edges1); edges1 = [-Inf edges1(2:end-1) Inf]; edges2 = linspace(miny, maxy, nbins(2)+1); ctrs2 = edges2(1:end-1) + .5*diff(edges2); edges2 = [-Inf edges2(2:end-1) Inf]; [n,p] = size(X); bin = zeros(n,2); [dum,bin(:,2)] = histc(X,edges1); [dum,bin(:,1)] = histc(Y,edges2); H = accumarray(bin,1,nbins([2 1])) ./ n; G = smooth1D(H,nbins(2)/lambda); F = smooth1D(G',nbins(1)/lambda)'; F = F./max(F(:)); ind = sub2ind(size(F),bin(:,1),bin(:,2)); col = F(ind) function Z = smooth1D(Y,lambda) [m,n] = size(Y); E = eye(m); D1 = diff(E,1); D2 = diff(D1,1); P = lambda.^2 .* D2'*D2 + 2.*lambda .* D1'*D1; Z = (E + P) \ Y;