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Data Analysis prompts
Reusable ChatGPT prompts for data analysis workflows.
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Analyze DataFrame Output
Receive the DataFrame output as OUTPUT and provide a critical and exploratory data analysis from the perspective of a data analyst. Include structured insights, observations, and actionable recommendations based on the data content. Tailor the analysis according to the output
Retrieve Metaanalysis Transcript File
Act as an expert esports performance analyst and coach to deeply analyze League of Legends Challenger-level coaching session transcripts. Identify core coaching philosophies, recurring themes, and deviations from textbook optimal play. Infer hidden metrics such as risk tolerance
Summarize Performance-Test Data and Highlight Endpoints Exceeding SLA Threshold
Analyze performance-test data to identify and summarize endpoints that exceed the specified Service Level Agreement (SLA) response time in milliseconds. Present the findings as a table highlighting the endpoints surpassing the value millisecond threshold.
Create a Line or Bar Chart Showing Key Response Metrics Around a Specific Event
Generate a line or bar chart illustrating important response metrics such as call volume, staff deployment, and average response time before, during, and after a specific event. Ensure the timeframes are clearly labeled and include an appropriate title and source notes for use in
Analyze service uptime and incident frequency
Analyze a CSV file containing daily uptime percentages and incident logs for insert service over the past quarter. Identify outage patterns, categorize issue frequency by severity, calculate overall uptime, and summarize findings with improvement suggestions in a brief report
Analyze KPI Trends in IT Managed-Services Contract Scorecards to Flag Vendor Performance
Analyze KPI trends in IT managed-services contract scorecards to identify vendors whose performance has slipped below target for two consecutive quarters. Present the findings in a table showing vendor name, KPI trend, periods below target, and recommended follow-up actions.
Analyze quarterly business metrics
Upload your quarterly dataset to analyze key business performance metrics such as revenue, churn, and customer acquisition. Receive three critical insights to share with your board and suggested follow-up questions for discussion.