【With Prompt Examples】Free Release of ChatGPT x Excel Data Preprocessing/Automation/Practical Handbook
Pattener Inc. has released a free practical handbook on data preprocessing and automation using ChatGPT and Excel. It aims to streamline data analysis and reduce man-hours, providing concrete prompt examples.
📋 Article Processing Timeline
- 📰 Published: May 8, 2026 at 18:20
- 🔍 Collected: May 8, 2026 at 09:31
- 🤖 AI Analyzed: May 9, 2026 at 04:28 (18h 56m after Collected)
Pattener Inc. (Headquarters: Shinagawa-ku, Tokyo; Representative Director: Tsuguru Fukano) has released a practical guide, "【With Prompt Examples】ChatGPT x Excel Data Preprocessing/Automation/Practical Handbook," to fundamentally streamline Excel operations using ChatGPT.
This guide explains how to dramatically reduce man-hours for "data preprocessing (cleansing and formatting)," which accounts for the majority of the data analysis process, and "automation of daily routine tasks" by instructing and utilizing ChatGPT with specific prompts (instruction sentences) that can be copied and pasted directly.
▼ Read "【With Prompt Examples】ChatGPT x Excel Data Preprocessing/Automation/Practical Handbook" (PDF Download)
https://tazna.io/contents-chatgpt-excel-dataanalytics-2
■ Background of Publication: Most of the data analysis time is spent on "cleaning data."
"I want to analyze, but the data is unusable due to inconsistent notation and many blanks."
"I want to create complex functions and macros, but it takes hours to research."
In the field promoting data utilization, such "manual data preprocessing" has become a major bottleneck.
It is generally said that about 80% of the time spent on data analysis is dedicated to "data collection and preprocessing."
However, with the advent of ChatGPT, this common perception is changing.
Even without advanced programming skills or VBA knowledge, simply instructing ChatGPT in natural language (Japanese) can instantly complete tasks ranging from complex functions to data cleansing methods and macro code generation.
This guide clearly explains practical know-how, along with prompt examples, to seamlessly link the familiar "Excel" and "ChatGPT" to free the workplace from tedious manual tasks.
▼ Read "【With Prompt Examples】ChatGPT x Excel Data Preprocessing/Automation/Practical Handbook" (PDF Download)
https://tazna.io/contents-chatgpt-excel-dataanalytics-2
■ Highlights of this document (White Paper)
【With Prompt Examples】ChatGPT x Excel Data Preprocessing/Automation/Practical Handbook
Introduction
Overall Design of ChatGPT x Excel: What to entrust to AI, what humans ensure
First, grasp the "division of roles": ChatGPT (analysis) / Excel (formatting, aggregation)
How to ask effective "questions": Analysis purpose → Hypothesis → Verification pattern
90% determined by preprocessing and formatting: Excel x AI data quality design
Prompt design to correct types, missing values, and notation inconsistencies at once
"Design → Test → Apply" Power Query cleansing procedures with ChatGPT
"AI-friendly" Excel design: Table format, headers, prohibited items
Create data dictionary and audit perspectives simultaneously
Quality assurance pattern: Sampling verification and difference logs
Analysis and visualization design: How to create "questions" that drive decision-making
Descriptive statistics and anomaly detection: Instantly grasp the "situation" first
Co-create pivot / visualization patterns with Copilot
Notes on running t-tests and regressions in Excel and how to use AI
UX design for "showing" dashboards: Checklist to eliminate misinterpretation
Accelerate decision-making with storytelling (narrative) and automatic summarization
Automation and operation: Reproducibility, scalability, and governance
Fix routines with Office Scripts / Macros
Function generation prompt pattern: Guide to XLOOKUP/LET/TAKE
Have ChatGPT write Office Scripts / VBA for operational code
Report operation orchestration: Design based on Power Automate
Usage and precautions for Copilot in Excel / =COPILOT
Advanced: Python in Excel / External data linkage
Usage and limitations of Python in Excel
Division of labor and governance with API / Power BI
Collection of ready-to-use prompts: Excel data analysis templates (copy-pasteable)
Preprocessing instruction templates (missing values, outliers, type conversion, name matching)
Analysis instruction templates (summary → hypothesis → verification → insights)
Report generation templates (chart proposals, text, next actions)
Conclusion
▼ Read "【With Prompt Examples】ChatGPT x Excel Data Preprocessing/Automation/Practical Handbook" (PDF D