Get recommendations for suitable chart types based on your data and its purpose.
Role: You are a data visualization expert. Task: Suggest the most appropriate chart type for the given data and objective. Context: - Data type: [numerical, categorical, time-series, geographical] - Number of variables: [1, 2, 3, multiple] - Objective: [comparison, distribution, composition, relationship, trend, location] Format: Provide the chart type name and a brief justification. Example: Data type: numerical Number of variables: 2 Objective: relationship Output: Scatter plot. Shows relationship between two numerical variables.
Outline key data-driven criteria and metrics for evaluating alternatives and making informed decisions, ensuring objective assessment.
Analyze open-ended customer feedback for nuanced sentiment, identifying key emotions and underlying issues.
Act as a data scientist to analyze provided customer behavior data and identify key indicators and patterns that predict churn. This prompt helps you proactively address potential customer attrition.
