DataPilot__Data-Analyst-Agent
🥈SilverDataPilot is an intelligent data analysis assistant that uses Generative AI and Python to process datasets, answer business questions, generate insights, and create visual reports, streamlining the data analysis process for businesses.
800Updated 3mo ago
Intermediate15 minutes to implementanalytics
Saves ~135 min per use
Quick InstallView Source
claude install ShreshtaSutar/DataPilot__Data-Analyst-AgentWorks with:
ChatGPTGitHub Copilot
Overview
About This Skill
DataPilot is an end-to-end data analysis agent that combines Google Generative AI with Python to automate dataset processing and insight generation. Upload your data in CSV, Excel, JSON, Parquet, or TXT format, then submit natural-language questions in batch mode to receive instant answers and visual reports. The tool handles exploratory data analysis, correlation detection, trend visualization, and distribution analysis without requiring manual coding. Built on FastAPI with Pandas, NumPy, Seaborn, and Matplotlib, DataPilot keeps your data local and secure while delivering automated reports. It's designed for analysts, researchers, students, business teams, and data science prototyping.
How to Use
Prepare a .txt file with your analysis questions, upload your dataset (CSV, Excel, JSON, Parquet, or TXT), and submit both through the web interface. DataPilot processes the files and generates insights with visualizations automatically. The FastAPI backend handles multi-question batch processing securely on your local machine.
Use Cases
Automating data processing tasks
Generating business insights from large datasets
Creating visual reports for presentations
Answering specific business questions with data
Best For
RevOpsGrowth
Tags
Setup & Installation
Quick Install
Terminal
claude install ShreshtaSutar/DataPilot__Data-Analyst-AgentAlternative Install (Git Clone)
git clone https://github.com/ShreshtaSutar/DataPilot__Data-Analyst-AgentRequirements
- Claude Code or compatible AI agent
- Works with: ChatGPT, GitHub Copilot
Quick Start Guide
1
Install the Skill
Copy the install command above and run it in your terminal.
2
Open Your AI Agent
Launch Claude Code, Cursor, or your preferred AI coding agent.
3
Try It Out
Use the prompt template or examples below to test the skill.
4
Customize
Adapt the skill to your specific use case and workflow.
Usage Examples
Prompt Template
I have a dataset about [SPECIFIC BUSINESS AREA] that I need to analyze. The dataset is in [FILE FORMAT] and contains [DESCRIBE DATA]. I need to understand [SPECIFIC BUSINESS QUESTIONS]. Can you help me analyze this data, generate insights, and create a visual report?
Example Output
After analyzing the provided dataset on customer purchasing behavior, I've identified several key insights: 1) Customers who purchase Product A are 3 times more likely to buy Product B within 30 days. 2) The average purchase frequency has increased by 15% in the last quarter, particularly among customers in the 25-34 age demographic. 3) Customers who engage with our email marketing campaigns spend 20% more on average. Based on these insights, I recommend: A) Implementing a targeted email campaign for Product B to customers who recently purchased Product A. B) Developing marketing strategies specifically tailored to the 25-34 age group. C) Analyzing the content of high-performing emails to identify best practices. I've created a visual report with these findings, including charts showing purchase frequency trends and customer segmentation analysis.
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