gitwalter Premium Dashboards & Interactive Explorers
This skill enables the development, hosting, and data management of interactive dashboards (Streamlit/Next.js), RAG explorer centers, database connectors, and warehouse tracking tools.
When to Use
Use this skill when modifying statistical dashboards, writing custom connectors (news, financial, economic), implementing data guards, or deploying interactive knowledge explorers.
Prerequisites
- Streamlit, Next.js, and web dependency libraries installed.
- Conda environment initialized.
Process
Follow these procedures to build and launch interactive dashboards.
Launching Streamlit Applications
Start the statistical warehouse dashboard or RAG knowledge explorer locally:
conda run -p D:\Anaconda\envs\cursor-factory streamlit run projects/statistical_dashboards/app.py
conda run -p D:\Anaconda\envs\cursor-factory streamlit run projects/rag_knowledge_explorer/app.py
Running Data Guard Scans
Scan incoming metrics for outliers or schema anomalies:
conda run -p D:\Anaconda\envs\cursor-factory python projects/statistical_dashboards/scripts/data_guard.py
Best Practices
- Data Cleanliness: Always route raw stream inputs through the database validation managers first.
- Rich Visuals: Follow premium UX design standards with HSL colors and clear responsive metrics.