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Data-Driven Solutions

There are countless ways to process data, but at its core there are four distinct phases: Cleaning, analysis, visualization, and presentation. The first column contains some raw Python and RStudio code for cleaning and analysis. The second shows off some of my favorite data visualizations I've done in Tableau and Excel. The third has full-blown presentations that I've made for faculty-led labs and professional certificates. If you'd like to see a more exhaustive collection of my work, head over to my GitHub page or this Google Drive folder.

Cleaning/Analysis

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Google Data Analytics Case Study: Cyclistic Bike Share (Python)

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PCSA Lab: Emotional Control vs. Performance Under Stress (RStudio)

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Advanced Methods Seminar: In-Class Experiment Analysis

Data Visualization

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Google Data Analytics Case Study: Interactive Dashboard (Tableau)

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Personal Journal Data Project: Interactive Dashboard (Tableau)

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Financial Report Example: Interactive Dashboard (Excel- Download Recommended)

Research Presentation

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Lab Presentation: What Americans Remember From the 2020 Presidential Election

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PCSA Lab: Emotional Control vs. Performance Under Stress

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Academic Paper: The Problems with Predicting Recidivism Using Psychology

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