Average_Transaction_Value_Stats
OfficialCompute average transaction value statistics from payment transaction data.
Data & Analytics#pandas#data manipulation#transaction data#payment analysis#average transaction value
Authorzjunlp
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill provides a solution for calculating average transaction value statistics from payment transaction data, allowing users to analyze and understand average transaction amounts grouped by various categorical fields.
Core Features & Use Cases
- Categorical Grouping: Computes mean
eur_amountfor transactions grouped by categorical fields such asshopper_interaction,issuing_country,acquirer_country, etc. - Optional Filters: Allows for optional filtering by merchant, card scheme, and date range to refine the analysis.
- Use Case: Ideal for answering questions about average transaction amounts, such as "What is the average transaction amount for transactions in January 2023 by country?"
Quick Start
Use the Average_Transaction_Value_Stats skill to compute the average transaction value for transactions in January 2023, grouped by issuing_country.
Dependency Matrix
Required Modules
pandas
Components
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: Average_Transaction_Value_Stats Download link: https://github.com/zjunlp/DataMind/archive/main.zip#average-transaction-value-stats Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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