Bauhaus-InfAU
Official@bauhaus-infau · Germany
Chair of Computer Science in Architecture and Urbanism
Agent Skills by Bauhaus-InfAU
Showing 9 vetted skills indexed across 1 GitHub repositories.
Bauhaus-InfAUresearch-question
Refine academic research questions using FINER, PICO, and InfAU frameworks.
Bauhaus-InfAUscientific-problem-selection
Guide systematic research problem selection and strategy development.
Bauhaus-InfAUdata-exploration
Profile datasets and assess data quality with column-level metrics.
Bauhaus-InfAUdata-context-extractor
Generate and refine data analysis skills by extracting analyst knowledge.
Bauhaus-InfAUsql-queries
Generate SQL queries across PostgreSQL, Snowflake, BigQuery, Redshift, and Databricks SQL.
Bauhaus-InfAUdata-visualization
Generate data visualizations with Matplotlib, Seaborn, and Plotly.
Bauhaus-InfAUinteractive-dashboard-builder
Generate self-contained HTML dashboards with Chart.js charts and dropdown filters.
Bauhaus-InfAUstatistical-analysis
Perform descriptive statistics, trend analysis, outlier detection, and hypothesis testing on datasets.
Bauhaus-InfAUdata-validation
Validate data analyses for accuracy, bias, and reproducibility.
Frequently Asked Questions About Bauhaus-InfAU
FAQPage SchemaWhat specific research tasks are enabled by these methodologies?▼
These skills enable systematic research problem selection, rigorous data quality profiling, and hypothesis testing. Users can refine academic inquiries using FINER and PICO frameworks while performing descriptive statistics and outlier detection to ensure high-fidelity research outcomes in architectural and urbanistic domains.
Which technical personas benefit from these data capabilities?▼
Data scientists, urban researchers, and academic analysts benefit from these capabilities. The registry supports professionals requiring structured data extraction, cross-platform query generation, and the creation of reproducible, interactive dashboards for complex urban datasets.
What are the prerequisites for implementing these data analysis skills?▼
Implementation requires access to structured datasets compatible with PostgreSQL, Snowflake, BigQuery, Redshift, or Databricks. Users must possess foundational knowledge of statistical hypothesis testing and basic web-based visualization structures to effectively deploy the generated HTML dashboards and analytical outputs.