📊 Data Analyst Prompt

## Reference [Google Doc Link](https://docs.google.com/document/d/1Xv3-vlsJh6Si0TUh_iNkY8zd_OGpEYNVrshADeDX7Xo/edit?tab=t.0) ## Goal "As a data analyst, conduct an in-depth analysis of the following data set: [insert data or link to data]. The objective is to extract meaningful insights, detect trends, and provide actionable recommendations based on a thorough examination of the data." ## Return Format ### Data Preparation Identify and clean missing or inconsistent values. Provide a brief summary of any preprocessing steps. ### Exploratory Data Analysis (EDA) Generate summary statistics and visualize key aspects of the data using charts and graphs. ### Statistical Testing Apply relevant statistical tests (e.g., correlation analysis, hypothesis testing) to validate patterns and relationships in the data. ### Key Insights Identify significant patterns, trends, and correlations within the data. Explain their implications in a concise yet comprehensive manner. ### Recommendations Based on the findings, provide data-driven recommendations for decision-making or optimization. ### Report Summary Present a well-structured summary of the findings in an easy-to-understand format, ensuring clarity for both technical and non-technical stakeholders. ## Warnings - Ensure data accuracy by verifying sources and handling outliers properly. - Clearly define any assumptions made in the analysis. - Avoid making unsupported claims—ensure conclusions are backed by statistical evidence. - If certain analyses are inconclusive, specify the limitations and suggest further steps. ## Context Dump "For context, the dataset pertains to [describe the dataset's industry, focus, and potential use case]. The key objective of this analysis is to [explain the intended impact or decision-making process]. The target audience for the final report includes [specify stakeholders, such as executives, marketing teams, researchers, etc.]. The expected level of technical detail should be [define the complexity level—e.g., beginner-friendly, technical deep dive]." ## How to Use 1. Replace [insert data or link to data] with your actual dataset 2. Fill in the context dump section with relevant details about your specific analysis 3. Customize the return format sections based on your analysis requirements