A demo of functionality the VMC dashboard might include
A 'Quantified Self' exploration of health behaviors.
Project 1 for Information Design and Visual Analytics entitled "The Digital Shadow Illuminated." Data is aggregated from all self-tracking collections including Rescuetime, Insight Timer, and the Facebook activity log to create a snapshot of the quantified self for 2017.
This project takes a look at spatial and temporal data through an exploration of the city of Waltham. Visualizations include: - Access to polling places based on income - Methods for making canvassing more efficient using: - k-means and hierarchical clustering to create clusters of locations that are close together - knn and the Google API to find the shortest walking path through a cluster
A Modeling and Visualization Exploration
This is an overview of the experience gained writing code in R since starting to learn R in August 2017. It includes total lines written, total lines written for the Northeastern Data Analytics cert., all pkgs used, and a list of all the functions used and the # of times used.
This is the Statistical Analysis for Evan Parker's "Food Choices, Sustainability, and Human Health" Project
Welcome to the Congruent Connections faculty data scraper and DA 5020 Final Project for Stephen Holsenbeck. This page provides the in-depth documentation and write-up for how each modular function in the scraper works. In the navigation menu above, the Shiny Apps dropdown menu will take you to the Shiny App deployments on shinyapps.io. The Shiny Apps will allow you to browse professors in the data set by wordclouds, or to search the dataset by your interests, and return professor’s information whom match your interests. This data is searchable and downloadable. Note: The code and apps were tested on Windows 10 home running Chrome browser maximized to the screen, and the page coding is optimized for viewing in a maximized browser window on a desktop (though it uses bootstrap fluid formatting, so it can be viewed on smaller screens, though not optimally.)
Ridge, Elastic Net, and Lasso regression v Linear Regression Simple Vector Machines (SVM) v Logistic Regression Dataset on student performance
This homework covers Principal Component Analysis, Factor Analysis, KMeans Cluster Analysis and Hierarchical Cluster Analysis.
Multiple Linear Regression: Interaction Terms, Quadratic terms Binomial (logit) regression and prediction
Multiple Linear Regression, Quadratic and Interaction terms, Spurious and Chained, F-Test for Nested Models
Review of Function Writing, Probability, Graphing, Hypothesis Testing, Chi-Squared, F-Test
This is Homework 7 on Covariation, Correlation, Bivariate Regression and a t-test of the correlation.
Chi Squared and ANOVA Tests in R
Procedural notes for how to perform ANOVA & Chi Squared test.
Intro to computational Statistics, Homework 5, Question 4 uses some interesting data from the GSS https://gssdataexplorer.norc.org
Intro to Computational Statistics Homework 4
Intro to Computational Statistics - Homework 3
Homework 2 for PPUA 5301
This is homework 1 for PPUA 5301.