Second Milestone

What we have done:

@rfarinel:

• completed bar graph of statics and linear regression of 2D points graph
• revised readme

@cp0153:

• revised readme
• Created functions to calculate mean and standard divination of a array along a specific axis.
• A function to standardize the values in a matrix (mean=0 and variance=1)
• plot of iris principal component analysis

What we need to do:

@cp0153:

• Implement a function to perform matrix multiplication (racket matrix library only supports dot product on matrices of the same size).
• implement fucntion that removes slices a 2d array by columns (for the projection matrix)
• use library or api call to calculate eigenvectors and eigenvalues

@rfarinel:

• I need to add extra stuff to the plots (titles, labels, etc...) to make them look nicer

Thank you @fgmart

First Milestone

What we have accomplished:
Data abstractions (of iris) and data manipulation functions (average, standard deviation, min, max, filter). Functions casting the Iris data set to a 2D mutable array from a list of lists.

What we have left to do:
plot showing a linear regression, plots demonstrating the above data manipulation functions.

Principal Component Analysis plot and calculation.

@fgmart

Proposal

@fgmart