Examples and Use Cases

Comprehensive examples showing RMCP capabilities across different statistical analysis scenarios.

Quick Start Examples

For immediate hands-on experience, see:

  • Quick Start Guide - Basic usage examples

  • Working Examples → - Get started immediately

Advanced Statistical Analysis

Time Series Analysis

Advanced Time Series Example

  • ARIMA modeling and forecasting

  • Seasonal decomposition

  • Stationarity testing

  • Economic forecasting workflows

Economic Research

Economic Research Example

  • Panel data analysis

  • Instrumental variables

  • Policy impact analysis

  • Econometric modeling workflows

Claude Desktop Integration

Claude Desktop Examples

  • Interactive statistical analysis

  • Real-time visualizations

  • Data exploration workflows

  • Advanced statistical conversations

Statistical Categories

Regression & Economics

"Analyze the relationship between marketing spend and ROI"
"Run a panel data regression with fixed effects"
"Test for endogeneity using instrumental variables"

Time Series & Forecasting

"Forecast next quarter's sales using ARIMA"
"Decompose the time series into trend and seasonal components"
"Test if the series is stationary"

Machine Learning

"Cluster customers by purchasing behavior"
"Build a decision tree to predict churn"
"What are the most important features?"

Statistical Testing

"Is my A/B test result statistically significant?"
"Run an ANOVA to compare group means"
"Test if the data follows a normal distribution"

Data Analysis & Visualization

"Summarize this dataset with descriptive statistics"
"Create a correlation heatmap"
"Generate a professional scatter plot"

Working with Data

File Formats Supported

  • CSV files: read_csv(), write_csv()

  • Excel files: read_excel(), write_excel()

  • JSON data: read_json(), write_json()

  • Direct data input: Arrays, matrices

Data Transformation

"Standardize the variables"
"Create lag variables for time series"
"Winsorize outliers at 5th and 95th percentiles"
"Filter data where income > 50000"

Interactive Examples

All examples are designed to work with:

  • Claude Desktop - Local MCP integration

  • Claude Web - HTTP server integration

  • Direct API calls - Programmatic access

  • Jupyter notebooks - Data science workflows

Example Data Sets

RMCP includes several example datasets for testing:

  • Economic indicators

  • Panel data

  • Time series data

  • Customer behavior data

  • Sales and marketing data

Access via: load_example("dataset_name")

Best Practices

Effective Prompts

  • Be specific about the analysis you want

  • Mention the statistical method if you know it

  • Specify output format preferences

  • Ask for interpretations and insights

Error Recovery

  • RMCP provides intelligent error diagnosis

  • Suggested fixes for common issues

  • Alternative approaches when methods fail

  • Data validation and cleaning suggestions

Visualization

  • Plots are displayed inline in conversations

  • Professional styling with ggplot2

  • Export capabilities (PNG, PDF, SVG)

  • Customizable themes and colors