Data & Spreadsheets

Analyze datasets, generate visualizations, and work with structured data through natural language.

Overview

Iris transforms raw data into actionable insights. Upload a spreadsheet, paste a CSV, or describe the data you need, and Iris will analyze patterns, compute statistics, generate visualizations, and present findings in clear, structured formats. No formulas or pivot tables required — just describe what you want to know.

Data Analysis

Iris performs a wide range of analytical operations on your data:

Statistical analysis — means, medians, standard deviations, correlations, and distribution summaries.
Trend identification — detect growth patterns, seasonality, and anomalies in time-series data.
Comparisons — compare segments, categories, or time periods with clear breakdowns.
Forecasting — project future values based on historical trends and patterns.

Visualization

Turn numbers into visuals. Iris can generate a variety of chart types to communicate your data effectively:

Bar and column charts — compare categories and track changes across groups.
Line charts — visualize trends and time-series data.
Pie and donut charts — show proportional breakdowns and market share.
Scatter plots — reveal correlations and clusters in multi-variable datasets.

💡 Pro Tip: Ask Iris to "show me the best chart for this data" and it will automatically select the most appropriate visualization type based on your dataset structure.

Supported Formats

Iris works with the most common data formats:

CSV — comma-separated values, the most universal data exchange format.
JSON — structured data from APIs and web services.
Excel (.xlsx) — Microsoft Excel spreadsheets with multi-sheet support.

Example Prompts

"Analyze this CSV of monthly sales data. Show me the top 5 performing products, overall revenue trend, and highlight any months with unusual spikes or drops."

"Create a bar chart comparing Q1 vs Q2 revenue across all regions from the attached spreadsheet."

"Parse this JSON API response and organize it into a clean table with columns for name, email, signup date, and plan type."

Best Practices

Upload clean data — ensure column headers are descriptive and data types are consistent.
Ask specific questions — "What is the month-over-month growth rate?" yields better results than "analyze this data."
Request the chart type — if you have a preference, specify it. Otherwise Iris will choose the best fit.
Combine with documents — ask Iris to embed data insights into a report or presentation for a complete deliverable.