Math Placement Test Analysis
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Survey Data Exploration
Survey Report (Based on Synthetic Data) Table of contents 1 Executive Summary 2 Data Cleaning and Preparation 2.1 Generating a Synthetic Data Set 2.2 Data Prep 3 Respondent Overview 3.1 Breakdown by Role: Students, Faculty, and Staff 3.2 Academic and Administrative Areas 3.3 Demographics 4 Technology Access, Usage, and Experience 4.1 Device Access 4.2 AI
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Screen Time Data Visualization
Introduction These little metal boxes we carry in our pockets have permeated nearly every aspect of our lives, transforming how we live, work, and connect. While this powerful technology has brought many benefits through its wide-ranging functionality–enabling us to complete tasks, achieve goals, communicate effortlessly, and even support our well-being–it has also come with significant
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Predicting End-of-Season OBP after Mar/Apr
Introduction / Objective The goal of this project is to predict a Major League Baseball (MLB) hitter’s end-of-season On-Base Percentage (OBP) based on early season results, specifically after the first two months of the season. This information could be useful to MLB team’s in a variety of ways including assessing player performance, progress, and value
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Embedding a Shiny Dashboard into my Website
The goal of this project is simply to test and learn how to embed Shiny Dashboards into a website. The specific dashboard isn’t necessarily anything particularly fancy – specifically, it is one I threw together quickly for a homework assignment for my Sports Analytics class last June – but it will be suitable to serve
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An Analysis of the 2023 NCAA 50 Freestyle
The 50-yard freestyle at Men’s NCAA Championships is the fastest, arguably most intense race in all of swimming. It’s always one that gets a lot of attention because of the pure speed, power, and athleticism required to excel in such a short, explosive race. In 2023 though, the event was the center of attention for
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What if Malcolm Gladwell Scored Swim Meets?
Swim meet scoring is largely standardized. A swimmer’s finishing place in their event earns their team or country a predetermined number of points; perhaps 6 points for 1st, 4 points for 2nd, 3 points for 3rd, 2 points for 4th, and 1 point for 5th (a typical high school dual-meet format). There can be some
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