Calculations and plots of distance distribution of networks. Comparison of distances of random, small world, scale free networks.

Clusters of responders and question give deeper insight to survey data.

Shared nearest neighbor projection of bipartite networks.

Examples on orderings. How geom_raster() works.

A data analysis pipe to fit power-law distribution to a dataset. In this report the dataset is a degree distribution of a graph that generated with {igraph}.

Load graph from two and three column data frame and from adjacency matrix. There are some play with weighted and unweighted versions.

Generate random (Erdős-Rényi), small world (Wattz-Strogatz), scale-free (Barabási-Albert) random graphs and some calculations about them.

Simple and clusterised matrix visualizations (e.g. coloring tick labels)

Function to calculate weighted Jaccard similarity of rows of matrix

Introduction to some MDS function

Tryout some MDS function on Groceries dataset

Prezentation of solution to quadratic equation shiny app