Analytics Workflows Directory

Browse analytics workflows for commerce, engagement, forecasting, and operations.

Analytics Analytics

• Species Dimorphism - Identifies which morphometric measurements (bill length, bill depth, flipper len
• Fuel Efficiency - Identifies which vehicle attributes — weight, horsepower, cylinders, and displac
• Species Classification - Classifies iris flowers into Setosa, Versicolor, and Virginica species using pet
• Rfm Scoring - Scores every customer on Recency, Frequency, and Monetary value (1-5 each), assi
• Life Expectancy - Analyzes the relationship between GDP per capita and life expectancy across coun
• Price Patterns - Identifies trends, volatility regimes, and significant price moves in OHLCV stoc
• Quality Factors - Identifies which physicochemical properties drive red wine quality scores using
• Risk Factors - Identifies which physiological measurements most strongly predict diabetes risk
• Life Expectancy - Analyzes the relationship between per-capita healthcare spending and life expect
• Value Drivers - Identifies which property and neighborhood features most strongly drive median h
• Spend Effectiveness - Analyzes how TV, Radio, and Newspaper advertising spend independently drive sale
• Tip Drivers - Derives tip percentage from raw bill and tip amounts, then uses random forest fe
• Price Drivers - Identifies which physical characteristics of diamonds (carat, cut, color, clarit
• Monthly Revenue Trends - Aggregates retail transaction data by month and analyzes revenue trends, growth
• Top Products by Revenue - Identifies the highest-revenue products from a retail transactions dataset by ag
• Correlation Matrix -
• Chi Square -
• Mann Whitney -
• Independent Samples t-Test - Independent samples t-test for comparing means between two groups. Uses survey r
• Survival Factors - Analyzes passenger survival patterns on the Titanic by examining key demographic

Demo Analytics

• Linear Regression - Predict sales from multi-channel ad spend using linear regression

Operations

• Dataset Join - Join multiple datasets on a common column. Supports inner, left, right, and full

User Analytics

• Species Classifier - Classifies iris flowers into setosa, versicolor, and virginica using k-nearest n

Back to MCP Analytics Home