Data & Analytics Templates
Templates for data analysis, visualization, and ML workflows.
Data templates are designed for data analysis, visualization, and machine learning workflows.
Data Analysis Agent
A comprehensive data analysis assistant for statistical analysis and insights.
Default Tools
read-file- Read data fileswrite-file- Create analysis reportsfind-files- Locate data sourcesdatabase-query- Query databasesrun-command- Execute analysis scripts
Sample Prompts
- "Analyze this CSV and identify statistical outliers"
- "Calculate correlation between these variables"
- "Generate summary statistics for the dataset"
- "Find patterns in the customer behavior data"
Best For
- Exploratory data analysis
- Statistical testing
- Data profiling
- Insight generation
This template enables run-command for executing Python/R scripts. Ensure appropriate permission settings.
Visualization Agent
Focused on creating charts, graphs, and interactive dashboards.
Default Tools
read-file- Read datawrite-file- Create visualization codefind-files- Locate data sourcesrun-command- Generate visualizations
Sample Prompts
- "Create a bar chart comparing quarterly sales"
- "Generate a dashboard with key metrics"
- "Build an interactive time series visualization"
- "Create a heatmap of user engagement"
Best For
- Chart generation
- Dashboard creation
- Interactive visualizations
- Report graphics
ML Pipeline Builder
Specialized for machine learning workflow development.
Default Tools
read-file- Read data and modelswrite-file- Create pipeline codefind-files- Locate datasetssearch-files- Find model definitionsrun-command- Execute training and evaluation
Sample Prompts
- "Create a data preprocessing pipeline"
- "Build a classification model for this dataset"
- "Implement cross-validation for the model"
- "Generate feature engineering code"
Best For
- ML pipeline development
- Model training
- Feature engineering
- Model evaluation
Comparing Data Templates
| Template | Database Access | Command Execution | Primary Focus |
|---|---|---|---|
| Data Analysis Agent | Yes | Yes | Statistical analysis |
| Visualization Agent | No | Yes | Charts and dashboards |
| ML Pipeline Builder | No | Yes | ML workflows |
Python environment
Data templates work best with a configured Python environment. Ensure pandas, numpy, matplotlib, and scikit-learn are available for full functionality.