Adjacency Matrix: is a square matrix that is used to represent a finite graph. The elements of the matrix indicate whether pairs of vertices are adjacent or not.
Chord Diagram: is a visual representation method to display the inter-relationships between data in a matrix.
Co-occurrence matrix: is a matrix defined over an image to be the distribution of co-occurring pixel values at a given offset.
Lower Triangular Matrix: is a square matrix in which all the entries above the main diagonal are zero.
Market Basket Analysis: is a technique used to find associations between different items. It helps retailers uncover the relationship between things that consumers frequently buy together
Matrix: is a rectangular arrangement of numbers, symbols, or expressions in rows and columns
Sparse Matrix: is a matrix that contains mostly zeros. If the matrix has a lot of non-zero values, then the matrix would be considered dense.
get_group allows us to get a data frame containing only the items in one particular order
idxmax allows us to get a series that tells us the row(s) with the highest value(s) from each column in the DataFrame.