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How to Build an Automated Meal Plan and Recipe Report with Power Query and Python

minbe-data — Thu, 18 Jun 2026 11:29:07 +0900

thumnail

Managing meal plans manually can be time-consuming, especially when ingredient quantities must be adjusted based on the number of people.

In this example, Power Query and Python work together to automate the entire process.

Power Query automatically:

- Merges meal plans with recipe data
- Calculates ingredient quantities
- Adjusts quantities by person count
- Creates a clean meal planning dataset

Python then:

- Creates daily worksheets automatically
- Separates Breakfast, Lunch, and Dinner
- Generates formatted meal reports
- Merges menu sections
- Applies colors and borders
- Produces a print-ready Excel report

This solution is useful for schools, cafeterias, restaurants, hospitals, and food service management.

before1

before2

result

report

videolink - https://youtu.be/FE21wZ91WKE

explanation.txt

0.00MB

Download the sample file below.

You can download the zip file in [Download] page

The file name is 49.meal_plan_recipe_auto.zip

Use the English M code provided for your dataset.

You may need to manipulate the M code under your circumstance. You consider this point and use M code

below txt file is detailed-explanation. You use M code in reference with this explanation.

---------------------------------------------------------

Need a custom automation for your Excel workflow?

I can build a tailored solution based on your data.

✔ Used in real-world business automation
✔ Saves hours of manual work

minbedata@gmail.com

You can pay via PayPal.

You don't worry about conversing with me.

My Major is an English literature, so I can speak English fluently and read, listening, writing proficiently

korean version web address (한국버전) is

<a href="https://blog.naver.com/minbe-data" target="_blank">네이버 블로그 바로가기</a>

How to Filter Expense Report Details with Power Query and XLOOKUP

minbe-data — Wed, 10 Jun 2026 16:02:58 +0900

thumnail

In Excel expense reports, card usage data is often stored in a separate table.

When preparing an expense report, we usually need to bring only the transactions that match a selected date and management number.

In this example, XLOOKUP is used to bring key report information, while Power Query filters the related card usage records automatically.

Power Query checks:

- Report Date
- Management Number
- Amount greater than zero

Then it sorts the matching transactions by amount and removes unnecessary columns.

The final result can be used directly in an expense report table.

This method is useful for corporate card reports, expense settlement, accounting automation, and Excel reporting workflows.

before1

before2

after

videolink - https://youtu.be/7B7FOahGGUo

explanation.txt

0.00MB

Download the sample file below.

You can download the zip file in [Download] page

The file name is 48.expense_report_auto_fill.zip.

Use the English M code provided for your dataset.

You may need to manipulate the M code under your circumstance. You consider this point and use M code

below txt file is detailed-explanation. You use M code in reference with this explanation.

How to Calculate Weekday and Holiday Workdays Automatically with Power Query

minbe-data — Thu, 4 Jun 2026 08:21:37 +0900

thumnail

Tracking employee workdays can be difficult when working hours are recorded across multiple day columns.

In many attendance sheets, employees are listed in rows while daily work hours are stored horizontally.

In this example, Power Query automatically:

- Converts daily work hours into a structured table
- Identifies weekdays and holidays
- Applies custom workday rules
- Counts qualifying weekday workdays
- Counts qualifying holiday workdays
- Creates an employee attendance summary

The result updates automatically whenever work hours are changed and the query is refreshed.

This method is useful for payroll processing, attendance management, HR reporting, and workforce analysis.

before

after

videolink - https://youtu.be/CIfnvD0Nxn4

explanation.txt

0.00MB

Download the sample file below.

You can download the zip file in [Download] page

The file name is 47.overtime_workday_count.zip

Use the English M code provided for your dataset.

You may need to manipulate the M code under your circumstance. You consider this point and use M code

below txt file is detailed-explanation. You use M code in reference with this explanation.

How to Calculate Fees Automatically by Grade and Amount Range with Power Query

minbe-data — Sat, 30 May 2026 18:47:20 +0900

thumnail

Many pricing tables use both grade levels and amount ranges to determine fees.

For example, the fee may vary depending on:

- Customer Grade
- Contract Amount
- Loan Amount
- Sales Amount
- Property Value

In this example, Power Query automatically finds the correct fee by comparing the selected Grade and Base Amount against a predefined fee table.

The result updates automatically whenever the input values change.

This method is useful for fee calculation systems, commission tables, pricing models, and Excel automation projects.

result snapshot

videolink - https://youtu.be/D7-f21KyYgU

explanation.txt

0.00MB

Download the sample file below.

You can download the zip file in [Download] page

The file name is 46.fee_by_amount_range.zip.

Use the English M code provided for your dataset.

You may need to manipulate the M code under your circumstance. You consider this point and use M code

below txt file is detailed-explanation. You use M code in reference with this explanation.

How to Consolidate Multiple Product Tables and Create Buyer Rankings with Power Query

minbe-data — Sat, 30 May 2026 17:50:24 +0900

Many Excel reports store product sales data in separate sections across a worksheet.

For example, each product may have its own Buyer, Quantity, and Amount columns.

While this layout is easy to read, it is difficult to analyze and summarize.

In this example, Power Query automatically:

- Extracts multiple product sections
- Standardizes column names
- Combines all product tables
- Removes blank records
- Calculates total quantity by buyer
- Calculates total sales amount by buyer
- Creates a buyer ranking report

The final result provides a clean summary table sorted by total sales amount.

This method is useful for sales analysis, customer rankings, purchase tracking, and Excel reporting automation.

before

after

videolink - https://youtu.be/wQFqvHmKjUI

explanation.txt

0.00MB

Download the sample file below.

You can download the zip file in [Download] page

The file name is 45.buyer_sales_summary_pq.zip.

Use the English M code provided for your dataset.

You may need to manipulate the M code under your circumstance. You consider this point and use M code

below txt file is detailed-explanation. You use M code in reference with this explanation.

How to Create Monthly Inventory Summary Reports with Power Query

minbe-data — Wed, 20 May 2026 17:07:35 +0900

thumnail

Managing inventory data in Excel often becomes difficult when daily usage and receipt records accumulate over time.

In this example, Power Query automatically creates a monthly inventory summary report.

The process includes:

- Replacing null values with zero
- Extracting month numbers from dates
- Grouping data by month and year
- Calculating total receipts
- Summing product usage
- Retrieving the latest stock value
- Creating a total usage column

The final result provides a clean monthly inventory report that updates automatically with Refresh.

This method is useful for warehouse management, stock analysis, production tracking, and Excel reporting automation.

before

after

videolik - https://youtu.be/FRn5hDDSTn8

Download the sample file below.

You can download the zip file in [Download] page

The file name is 27.monthly_inventory_summary.zip.

Use the English M code provided for your dataset.

You may need to manipulate the M code under your circumstance. You consider this point and use M code

below txt file is detailed-explanation. You use M code in reference with this explanation.

explanation.txt

0.00MB

How to Match Category Codes Automatically with Power Query Merge

minbe-data — Sun, 17 May 2026 13:55:49 +0900

thumnail

In Excel, category names and category codes are often stored in separate tables.

The problem is that category names may contain extra spaces, making exact matching difficult.

In this example, Power Query automatically:

- Merges two tables using CategoryName
- Retrieves matching CategoryNo values
- Removes unnecessary columns
- Cleans text using Trim
- Filters unmatched rows
- Sorts the final result

This method is useful for product classification, category management, ERP data cleaning, and Excel automation tasks.

before

after

videolink - https://youtu.be/YxiStZeD358

Download the sample file below.

You can download the zip file in [Download] page

The file name is 26.book_category_merge.zip.

Use the English M code provided for your dataset.

You may need to manipulate the M code under your circumstance. You consider this point and use M code

below txt file is detailed-explanation. You use M code in reference with this explanation.

explanation.txt

0.00MB

How to Transform Monthly Excel Reports into a Dynamic Pivot Table with Power Query

minbe-data — Tue, 12 May 2026 11:59:25 +0900

Many Excel reports contain monthly sections such as Jan, Feb, and Mar mixed together in a single worksheet.

This type of structure is difficult to analyze because the data is not arranged in a proper table format.

In this example, Power Query automatically:

- Detects month header rows
- Fills month values downward
- Cleans supplier data
- Unpivots the report structure
- Combines month and attribute names
- Creates a dynamic Pivot Table format

The final result converts a messy report into a clean analysis-ready table.

This method is useful for purchase reports, supplier analysis, monthly summaries, and Excel dashboard preparation.

videolink - https://youtu.be/ZqEUx-8vXuo

Download the sample file below.

You can download the zip file in [Download] page

The file name is 44-2.powerquery_pivot_monthly_report.zip.

Use the English M code provided for your dataset.

You may need to manipulate the M code under your circumstance. You consider this point and use M code

below txt file is detailed-explanation. You use M code in reference with this explanation.

detailed_explanation.txt

0.00MB

How to Clean Multi-Month Excel Data with Power Query and Create a Pivot Table

minbe-data — Tue, 12 May 2026 11:01:28 +0900

In Excel, monthly purchase data is often stored in a messy report format.

For example, month names such as Jan, Feb, and Mar may appear as section headers, while supplier and purchase information are listed underneath.

This structure is difficult to analyze directly with Pivot Tables.

In this example, Power Query automatically cleans the report by:

- Detecting month header rows
- Filling month values downward
- Removing unnecessary rows
- Renaming columns
- Creating a clean table structure

After the transformation, the data can be loaded into Excel and analyzed easily using a Pivot Table.

This method is very useful for accounting reports, supplier management, and monthly purchase analysis.

videolink - https://youtu.be/CL2rSTBv1WM

Download the sample file below.

You can download the zip file in [Download] page

The file name is 44-1.pivottable_monthly_report.zip

Use the English M code provided for your dataset.

You may need to manipulate the M code under your circumstance. You consider this point and use M code

below txt file is detailed-explanation. You use M code in reference with this explanation.

detailed_explanation.txt

0.00MB

Power Query Conditional Ranking | Rank Only Selected Rows with Tie-Break Logic (Score + Count)

minbe-data — Tue, 21 Apr 2026 10:02:08 +0900

In many Excel scenarios, you may need to rank only specific rows based on a condition.

This becomes more complex when duplicate scores exist and additional tie-break rules are required.

In this tutorial, you will learn how to rank only selected records using Power Query.

Tie-breaking is handled automatically using a secondary column such as count.

The ranking updates dynamically whenever the data is refreshed.

엑셀에서 순위를 구할 때
전체가 아니라 특정 대상자만 따로 순위를 구해야 하는 경우가 있습니다.

예를 들어

대상여부가 1인 행만 대상으로 순위 계산
성적이 높은 순서대로 정렬
성적이 같으면 건수로 다시 순위 결정

이런 조건이 들어가면 수식이 금방 복잡해집니다.

이번 글에서는 Power Query를 이용해서
대상여부가 1인 행만 따로 순위를 매기고, 그 결과를 다시 원본표에 붙이는 방법을 정리해보겠습니다.

문제 상황

원본 데이터에는 다음과 같은 열이 있습니다.

건
성적
순위
대상여부

여기서 원하는 것은

대상여부가 1인 행만 따로 추출
성적 내림차순 정렬
성적이 같으면 건 내림차순 정렬
그 순서대로 대상순위 생성
다시 원본 데이터에 대상순위를 붙이기
해결 방법

이번 작업은 Power Query UI만으로 해결했습니다.

흐름은 아주 단순합니다.

원본 데이터에 인덱스 추가
대상여부 = 1만 필터
성적 내림차순 정렬
건 내림차순 정렬
인덱스 추가로 대상순위 만들기
원본과 병합
대상순위 열 확장

이렇게 하면 원본 구조는 유지하면서
대상자만 별도로 계산한 순위를 쉽게 붙일 수 있습니다.

결과

대상여부가 1인 행만 대상순위 표시
대상이 아닌 행은 빈값 또는 null 유지
데이터가 추가되어도 새로고침만 하면 자동 반영

즉, 복잡한 수식 없이도
UI만으로 충분히 자동화가 가능합니다.

핵심 포인트

대상자만 따로 계산하려면 먼저 필터
동점 처리 기준은 정렬 순서로 해결
다시 원본에 붙일 때는 인덱스 병합 사용

이번 방법은 순위 문제뿐 아니라
특정 조건 대상만 따로 계산한 뒤
원본에 다시 붙이는 다양한 작업에도 그대로 응용할 수 있습니다.

videolink - https://youtu.be/h_jOpGtvBG0

Download the sample file below.

You can download the zip file in [자료실][Download] page

The file name is 42.대상순위(conditional rank).

Use the English M code provided for your dataset.

✔ Download the ready-to-use Power Query template below
✔ Just copy and paste the M code – works instantly

Eng_m code.txt

0.00MB

The original sample file is based on a Korean dataset.
You can apply the English M code to adapt it to your own data.

--------------------------------

Need a custom automation for your Excel workflow?

I can build a tailored solution based on your data.

✔ Used in real-world business automation
✔ Saves hours of manual work

minbedata@gmail.com

You can pay via PayPal.

You can also contact me via Upwork for secure payment and project handling.

<a href="https://www.upwork.com/freelancers/~01eb52dbd212cffc17" target="_blank">
Hire me on Upwork
</a>

You don't worry about conversing with me.

My Major is an English literature, so I can speak English fluently and read, listening, writing proficiently

korean version web address (한국버전) is

<a href="https://blog.naver.com/minbe-data" target="_blank">네이버 블로그 바로가기</a>