clessn/datagotchi_federal_2024
Nov 2024 – Apr 2025
4 Months active
Languages Used
RLaTeXQuarto
Technical Skills
Data CleaningData TransformationR ProgrammingData AnalysisData VisualizationReport Generation
elsalabonte
PROFILE
Elsalabonte
Elsa Labonté developed robust data engineering and analytics features for the clessn/datagotchi_federal_2024 repository, focusing on standardizing and transforming lifestyle activity and transportation datasets to support downstream modeling and analysis. She implemented pre-cleaning pipelines in R, established reusable data preparation patterns, and aligned datasets for improved analytics reliability. Elsa delivered end-to-end workflows for voter turnout analysis and prediction, utilizing R and Quarto to generate reproducible reports and visualizations. Her work included weighted logistic regression modeling with the survey package, careful variable standardization, and clear commit traceability, demonstrating depth in data cleaning, statistical analysis, and reproducible research practices throughout the project.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
8Total
Bugs
0
Commits
8
Features
5
Lines of code
1,275
Activity Months4
Your Network
11 people
Work History
April 2025
1 Commits • 1 Features
Apr 1, 2025April 2025 performance summary for clessn/datagotchi_federal_2024 focusing on feature delivery, impact, and technical proficiency.
1 Commits • 1 Features
Apr 1, 2025April 2025 performance summary for clessn/datagotchi_federal_2024 focusing on feature delivery, impact, and technical proficiency.
April 2025
March 2025
1 Commits • 1 Features
Mar 1, 2025March 2025: Key feature delivered in clessn/datagotchi_federal_2024 – Voter Turnout Analysis and Visualization, an end-to-end R-based workflow for loading data, selecting features, computing group differences, and visualizing discriminative patterns, paired with a Quarto report scaffold that uses custom fonts and a dedicated title page. No major bugs reported. This work delivers reproducible turnout insights and a publish-ready analysis artifact, strengthening data-informed decision making for federal datasets. Technologies demonstrated include R, Quarto, data visualization, and Git-driven reproducible research.
March 2025
1 Commits • 1 Features
Mar 1, 2025March 2025: Key feature delivered in clessn/datagotchi_federal_2024 – Voter Turnout Analysis and Visualization, an end-to-end R-based workflow for loading data, selecting features, computing group differences, and visualizing discriminative patterns, paired with a Quarto report scaffold that uses custom fonts and a dedicated title page. No major bugs reported. This work delivers reproducible turnout insights and a publish-ready analysis artifact, strengthening data-informed decision making for federal datasets. Technologies demonstrated include R, Quarto, data visualization, and Git-driven reproducible research.
December 2024
2 Commits • 1 Features
Dec 1, 2024December 2024 — Data quality and pipeline reliability improvements in clessn/datagotchi_federal_2024. Delivered the Data Cleaning Standardization and Dataset Alignment feature for Lifestyle Exercise & Transportation, including: standardizing lifestyle_exercise labels, updating the dataset loading path to the latest data file, and reclassifying transportation types into general categories (car, active_transport, shared_transport) with updated choice_transport mappings. Implemented via two commits (0bcdf0fecc967dcb206a323080352d9aa4f34c84; dbb4424cd5ee1dde62eb088b912ae1eb9f6e6fa8), enabling more reliable downstream analytics and cleaner feature engineering.
2 Commits • 1 Features
Dec 1, 2024December 2024 — Data quality and pipeline reliability improvements in clessn/datagotchi_federal_2024. Delivered the Data Cleaning Standardization and Dataset Alignment feature for Lifestyle Exercise & Transportation, including: standardizing lifestyle_exercise labels, updating the dataset loading path to the latest data file, and reclassifying transportation types into general categories (car, active_transport, shared_transport) with updated choice_transport mappings. Implemented via two commits (0bcdf0fecc967dcb206a323080352d9aa4f34c84; dbb4424cd5ee1dde62eb088b912ae1eb9f6e6fa8), enabling more reliable downstream analytics and cleaner feature engineering.
December 2024
November 2024
4 Commits • 2 Features
Nov 1, 2024Month: 2024-11 — Data engineering and feature engineering efforts for clessn/datagotchi_federal_2024 focused on standardizing lifestyle activity and transportation datasets to enable downstream analytics and model readiness. No explicit bugs documented this month; main work delivered robust pre-cleaning pipelines and data representations that align with federal project requirements.
November 2024
4 Commits • 2 Features
Nov 1, 2024Month: 2024-11 — Data engineering and feature engineering efforts for clessn/datagotchi_federal_2024 focused on standardizing lifestyle activity and transportation datasets to enable downstream analytics and model readiness. No explicit bugs documented this month; main work delivered robust pre-cleaning pipelines and data representations that align with federal project requirements.
Activity
Loading activity data...
Quality Metrics
Correctness82.6%
Maintainability80.0%
Architecture72.6%
Performance82.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
LaTeXQuartoR
Technical Skills
Data AnalysisData CleaningData TransformationData VisualizationR ProgrammingReport GenerationStatistical AnalysisStatistical ModelingSurvey Analysis
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline