https://github.com/jbangtson/financial_institution_survey_clustering

Data analysis project examining a Washington financial institution's survey 📃 of 2,421 members, focusing on their moral values using Jonathan Haidt's Moral Foundations Theory and alignment with corporate values (Localism, Sustainability, and Education). The analysis includes demographic and values-based clustering.

clustering dashboard dataanalysis dataexploration python unsupervised-learning

Last synced: 06 Apr 2025

https://github.com/jbangtson/chassis_cache_dashboard

This is a self-hosted technical dashboard 🚗 for car listings in the US using the Javascript packages d3 and Leaftlet.

d3 dashboard flask javascript leaflet nodejs python

Last synced: 09 Apr 2026

https://github.com/jbangtson/heart_attack_classification

This analysis utilizes Logistic Regression to predict heart attacks 🩺❤ and examine significant factors related to heart health. The model is able to predict heart attacks with an overall accuracy of 85%, trained on around 240 heart attack cases.

classification logistic-regression pandas python sklearn

Last synced: 09 May 2026

https://github.com/jbangtson/financial_survey_pca

PCA on a Finacial Company Survey. The heart of the survey was the Moral Foundations Theory of Jonathan Haidt 📄. Members were surveyed on the Moral Foundations Questionnaire, which you should take so you understand the test. Survey respondents were scored on the five foundations as well as a single-number summary, Progressivism.

k-means-clustering pca python

Last synced: 29 Apr 2026

https://github.com/jbangtson/wedge_project

In this data engineering project, I created an ETL pipeline from point-of-sale (POS) 🏪 data from the Wedge Co-Op in Minneapolis, spanning January 2010 to January 2017. The dataset captures transaction-level details from a member-owned cooperative, with 75% of transactions generated by member-owners, enabling comprehensive shopping pattern analysis

dataengineering gbq python

Last synced: 12 Feb 2026

https://github.com/jbangtson/jbangtson

My Profile README 👋

Last synced: 20 Mar 2026

https://github.com/jbangtson/big_query_costs

The goal is to optimize GBQ queries ☁ by focusing on frequently accessed data, processing it in smaller, targeted tables to reduce query costs and improve performance

cloud costs-optimization gbq python

Last synced: 16 Apr 2026

https://github.com/jbangtson/subaru-forester-craiglist-dashboard

This is a technical dashboard for customers seeking Subaru Foresters. 🚘

cars dashboard r shiny sql sqlite subaru

Last synced: 28 Apr 2026

https://github.com/jbangtson/diamonds-report

This report is an analysis on a diamonds dataset and what terms make impacts on the prices of the diamonds by building and analyzing a multiple linear regression model and data visualizations..

diamonds r supervised-learning

Last synced: 01 May 2026