Data Analysis

Modified on Tue, 29 Apr at 4:20 PM

The Data Analysis skill is your go-to solution for handling data in CSV and XLSX formats. Whether you're managing sales reports, inventory data, or any other dataset, this skill empowers your agents to process and analyze data efficiently using Python commands and libraries.

With just a few prompts, you can extract valuable insights and visualize data in minutes.

How It Works

You upload a file (CSV or XLSX) directly into the chat and ask your agent to perform various data analysis tasks. The agent uses Python-based tools and libraries to process the data and provide results in a clear and actionable format.

Input	Output
A CSV or XLSX file containing the dataset you want to analyze. A prompt describing the specific analysis or visualization you need.	Tables summarizing key insights from your data. Charts (e.g., column charts, line charts) for visual representation of trends and patterns. Detailed analysis answering your specific questions about the dataset.

When to Use It

To analyze sales or inventory data.
To summarize product trends.
To track order status over time.
To visualize patterns and trends.

Example

Related Skills

Document Reader V2: Extract and analyze content from uploaded or linked documents, including scanned PDFs.
Google Search: Find external data or insights to complement your analysis.
Image Generator V2: Create visual representations of data or concepts with AI-generated images.
Wikipedia Access: Retrieve summaries or detailed information to add context to your analysis.
YouTube Search: Locate video resources or tutorials to support your findings.

Disclaimer: This article is written in the voice of Nate, a fictional character created for user adoption and branding purposes, you'll also meet him and some other characters (like Roy) in our onboarding emails. If you’ve grown attached… our mission is completed! ;) – a happy marketing employee