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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 detailed analysis from a data analyst's perspective. The analysis should be critical and exploratory, including a TL;DR summary, detailed breakdown, considerations for data scientists, and suggestions for improvement and ne
Retrieve Metaanalysis Transcript File
Analyze a file containing League of Legends Challenger-level coaching sessions to extract deep, non-obvious insights. Identify core coaching philosophies, recurring themes, and rank-dependent patterns. Define implicit metrics like risk tolerance and gold versus tempo tradeoffs. B
Summarize Performance-Test Data and Highlight Endpoints Exceeding SLA Threshold
Analyze performance-test data to identify endpoints that exceed the specified millisecond Service Level Agreement (SLA) threshold, then summarize the findings in a table format highlighting these endpoints.
Create a Line or Bar Chart Showing Key Response Metrics Around a Specific Event
Generate a line or bar chart to visualize key response metrics such as call volume, staff deployment, and average response time before, during, and after a specified event. Clearly label the timeframes and include a title and source notes appropriate for a situation report.
Analyze service uptime and incident frequency
Review daily uptime percentages and incident logs for insert service over the past quarter to identify outage patterns, 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 listing vendor names, KPI trends, periods below target, and recommended follow-up actions.
Analyze quarterly business metrics
Review and analyze the uploaded dataset for a specified quarter, focusing on revenue, churn, and customer acquisition. Identify three key insights to share with the board and suggest follow-up questions for board discussions.