dataset-overview-analysis

Analyze phone network datasets and summarize their scale and structure.

Updated Jun 2, 2026
One-click install
npx skills add https://github.com/bettercallfan/deerflow --skill dataset-overview-analysis
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: dataset-overview-analysis
Source: https://github.com/bettercallfan/deerflow/tree/main/skills/custom/phone-network-analysis/dataset-overview-analysis
Command: npx skills add https://github.com/bettercallfan/deerflow --skill dataset-overview-analysis

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This skill provides a comprehensive overview of phone network datasets, helping users understand the scale, structure, and characteristics of the data.

Core Features & Use Cases

  • Overall Data Overview: Summarize the total number of numbers, the scale of communication relationships, the scale of equipment relationships, the distribution of risk labels, the distribution of provinces, the time coverage, and the range of analytical capabilities.
  • Data Quality and Analytical Capability Check: Check the availability of node, communication relationship, shared device, time series, and label distribution analysis capabilities in the current dataset, and output the data quality inspection table and the list of available capabilities.
  • Use Case: For users who need to quickly understand the data in a phone network dataset and need to determine the next analysis steps, this skill can quickly provide an overview of the dataset and check its analytical capabilities.

Quick Start

Use the dataset-overview-analysis skill to analyze the unified dataset in the phone network.

Frequently Asked Questions about dataset-overview-analysis

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I get an overview of a phone network dataset for fraud detection?

To check data quality in phone network datasets, evaluate the availability of node, communication relationship, shared device, and time series analysis capabilities. This produces a data quality inspection table and a list of available analytical capabilities for the dataset.

What does graph analysis reveal about phone network security data?

Graph analysis of phone network security data reveals the scale of communication and equipment relationships, the distribution of risk labels, provincial distribution, and time coverage. It summarizes the overall structure and highlights the analytical capabilities available within the dataset.

How can I quickly determine the next analysis steps for a phone network dataset?

To determine the next analysis steps for a phone network dataset, generate an overall data overview and check its analytical capabilities. This quickly identifies available nodes, communication relationships, and label distributions, guiding your subsequent fraud detection actions.

Can I check the analytical capabilities of a phone network dataset before running complex queries?

Yes, you can check analytical capabilities before running complex queries by generating a data quality inspection table. This verifies the availability of node, communication relationship, shared device, time series, and label distribution analysis within the dataset.

Does dataset overview analysis require specific graph analysis operators?

Dataset overview analysis requires graph analysis operators to process and analyze graph data within the phone network. These operators are necessary to evaluate the scale of relationships, equipment links, and time coverage for security and fraud detection applications.