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Stephen Holsenbeck

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VMC Dashboard
A demo of functionality the VMC dashboard might include
Health Tracking Summary
A 'Quantified Self' exploration of health behaviors.
PPUA 5302 - Project 1: The Digital Shadow Illuminated
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.
PPUA5302 Project 2: My City in Time & Space
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
DA5030 & PPUA5302 Final Project - Finance for Freelancers
A Modeling and Visualization Exploration
R Experience - Overview
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.
Evan Parker Analysis
This is the Statistical Analysis for Evan Parker's "Food Choices, Sustainability, and Human Health" Project
DA5020: Holsenbeck_S_Final - Congruent Connections Faculty Data Scraper
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.)
PPUA 5301 - Homework 12
Ridge, Elastic Net, and Lasso regression v Linear Regression Simple Vector Machines (SVM) v Logistic Regression Dataset on student performance
PPUA5301 - Homework 11
This homework covers Principal Component Analysis, Factor Analysis, KMeans Cluster Analysis and Hierarchical Cluster Analysis.
PPUA5301 - Homework 10
Multiple Linear Regression: Interaction Terms, Quadratic terms Binomial (logit) regression and prediction
PPUA5301 - Homework 8_9
Multiple Linear Regression, Quadratic and Interaction terms, Spurious and Chained, F-Test for Nested Models
PPUA5301 - Midterm
Review of Function Writing, Probability, Graphing, Hypothesis Testing, Chi-Squared, F-Test
PPUA 5301 - Homework 7
This is Homework 7 on Covariation, Correlation, Bivariate Regression and a t-test of the correlation.
PPUA 5301 - Homework 6
Chi Squared and ANOVA Tests in R
PPUA 5301 - ANOVA & Chi Squared Test
Procedural notes for how to perform ANOVA & Chi Squared test.
PPUA 5301 - Homework 5
Intro to computational Statistics, Homework 5, Question 4 uses some interesting data from the GSS https://gssdataexplorer.norc.org
PPUA 5301 - Homework 4
Intro to Computational Statistics Homework 4
PPUA 5301 - Homework 3
Intro to Computational Statistics - Homework 3
PPUA 5301 - Homework 2
Homework 2 for PPUA 5301
PPUA5301 - Homework 1
This is homework 1 for PPUA 5301.