data-analysis

name	data-analysis
description	Analyze spreadsheet data, generate insights, create visualizations, and build reports from Excel/CSV data.
version	1.0.0
author	claude-office-skills
license	MIT
category	finance
tags	["data","analysis","spreadsheet","excel","visualization","insights"]
department	All
models	{"recommended":["claude-sonnet-4","claude-opus-4"],"compatible":["claude-3-5-sonnet","gpt-4","gpt-4o"]}
mcp	{"server":"office-mcp","tools":["read_xlsx","analyze_spreadsheet","create_chart","pivot_table"],"optional_tools":["create_xlsx","xlsx_to_json"]}
capabilities	["data_analysis","statistical_analysis","visualization","trend_detection","reporting"]
input	{"required":[{"type":"file","formats":["xlsx","csv","xls"],"description":"The spreadsheet data to analyze"}],"optional":[{"type":"text","name":"analysis_goal","description":"Specific questions or analysis goals"},{"type":"text","name":"output_format","description":"Preferred output format (report, chart, summary)"}]}
output	{"primary":{"type":"report","format":"markdown","sections":["data_overview","key_insights","visualizations","recommendations"]}}
languages	["en","zh"]
related_skills	["excel-automation","report-generator","xlsx-manipulation"]

Data Analysis Assistant

Analyze data in spreadsheets, uncover insights, and create compelling visualizations.

Overview

This skill helps you:

• Understand and explore your data
• Perform statistical analysis
• Generate insights and recommendations
• Create charts and visualizations
• Write formulas and queries

How to Use

Getting Started

1. Share your spreadsheet or data file
2. Describe what you want to analyze
3. Get insights, formulas, or visualizations

Analysis Types

Exploratory Analysis

"What patterns do you see in this data?"
"Give me an overview of this dataset"
"What are the key statistics?"

Specific Questions

"What was the total revenue by region?"
"Which products had the highest growth?"
"Is there a correlation between X and Y?"

Visualization Requests

"Create a chart showing sales trends"
"Make a comparison chart of Q1 vs Q2"
"Show the distribution of customer ages"

Output Formats

Data Overview

## Dataset Overview

**Rows**: 1,234
**Columns**: 15
**Date Range**: Jan 2025 - Dec 2025

### Column Summary
| Column | Type | Non-null | Unique | Sample Values |
|--------|------|----------|--------|---------------|
| date | Date | 100% | 365 | 2025-01-01 |
| revenue | Number | 98% | 890 | $1,234.56 |
| region | Text | 100% | 5 | North, South |

### Data Quality Issues
- [X] rows have missing values in [column]
- [Y] potential duplicates detected

Statistical Analysis

## Statistical Summary

### [Metric Name]
- **Mean**: X
- **Median**: Y
- **Std Dev**: Z
- **Min/Max**: A / B

### Key Findings
 [Finding with statistical support]
 [Finding with statistical support]


 [Action based on analysis]