My life dashboard - automatically track and visualize your data. Using common tracker APIs to create a minute by minute representation of your day.
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Updated
Feb 25, 2021 - Jupyter Notebook
My life dashboard - automatically track and visualize your data. Using common tracker APIs to create a minute by minute representation of your day.
Repo contains codes implemented for different side channel attacks and faults for CS579 (physical attacks and countermeasures) for my Master's at Oregon State University
A hub that contains notebooks that perform elementary descriptive statistics of populations and samples and demonstrates 3 hypothesis tests- Welch t-test, Correlation, and Chi-square test. It shows how to run them in python and understand the results
A jamovi module to calculate Student's and Welch's t-test for independent samples as well as one-sample t-test (including related Cohen's d ) based on summary data (mean, standard deviation, and sample size) for both samples resp. one sample and test-value, if raw-data are not available. to comprehend reported tests.
Statistical analysis comparing goal contributions per 90 minutes between forwards and midfielders using Welch's t-test, effect size, confidence intervals, and bootstrap sensitivity analysis.
Large-scale A/B testing simulation & statistical inference pipeline across 5M users.
A data-driven A/B testing project comparing website performance under Light and Dark themes. Analyzes user engagement metrics using statistical tests, correlation analysis, and predictive modeling to identify behavioral patterns and theme effectiveness. Built in Python using Jupyter Notebook with pandas, seaborn, and scikit-learn.
3,143 US counties. OLS + Welch t-test: $1,818/beneficiary gap costing $9.5B/year.
This R script provides a fully automated framework for conducting independent-samples hypothesis tests to compare two groups on a continuous numeric outcome. It is designed for flexible reuse across datasets and projects in data science, human performance, and research.
Quantifying the impact of weather on service demand to optimize staffing schedules. Analyzed 17,000+ hours of data using Python to recommend dynamic scheduling.
A workflow to understand the changes in expression levels of epithelial cells in smokers.
Análise estatística (teste t de Welch e correlação ponto-bisserial) para auditar tempo de permanência em mesa e otimizar giro do salão de restaurante japonês.
Continuation to Data Analysis using more mathematical approach.
C++ header only library of statistical tests; Brunner Munzel & Welch t.
Aplikasi Shiny untuk membandingkan ketegaran dan kuasa uji t (klasik) dan uji Welch terhadap dua sampel.
Survey-based marketing research analyzing whether sustainability-oriented advertising increases sustainable product choice using binomial test, Welch’s t-test, correlation, and linear regression in Python.
Timing side-channel analysis of leaky and constant-time STM32 quantum-control firmware using DWT cycle timing, Saleae PA0 pulse widths, TVLA/dudect-style Welch t-tests, effect size, mutual information, and attack success metrics.
Survey-based A/B experiment analyzing how percentage vs. absolute discount framing affects consumer purchase intention using Welch’s t-test and regression analysis in Python.
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