analyze-csv-sample

name	analyze-csv-sample
description	Guides fast exploration of tabular CSV data for lead-style or operational lists. Use when the user works with sample-data/leads-sample.csv, mentions CSV analysis, lead lists, filtering, or summarizing spreadsheet exports.

Analyze the sample CSV (sample-data/leads-sample.csv)

File purpose

Example B2B-style leads: company, contact, industry, geography, size, pipeline stage, and dates. Fictional data using example.com emails.

Quick approaches

A — Conversation

Ask for counts by industry / region, filters on stage, or top companies by employees.

B — Script

From repo root:

python3 scripts/quick_csv_summary.py sample-data/leads-sample.csv

Uses Python’s standard library only (see scripts/quick_csv_summary.py).

Demo prompts

• “How many leads per industry?”
• “Show Healthcare contacts in stage Negotiating.”
• “Largest employee_count row?”

For broader CSV workflows (exports from CRMs, spreadsheets), the same pattern applies: summarize → filter → export subsets.