How to Store an Unlimited Number of Actors or Items in Excel
Question details
The user needs a method to store an indefinite amount of related data (such as multiple actors per movie) without creating difficult-to-maintain repeating columns.

- Product
- Microsoft Excel
- Device & OS
- not provided
- Scenario
- Structuring a database or complex data list in a spreadsheet where one item (like a movie) has multiple associated sub-items (like actors, directors, or genres).
- Observed behavior
- Using repeating columns (e.g., Actor 1, Actor 2, Actor 3) limits the maximum number of items and makes the data extremely difficult to manage, update, and report on.
Ensure that your primary data items (e.g., Movies) have a unique identifier, such as a Movie ID or an exact Movie Name, to accurately link the separate tables together.
Use Separate Related Tables and Power Query
The optimal approach is to normalize your data by using separate tables for each category and linking them using a common ID.
Excel is not a traditional relational database, but it can mimic one. Instead of adding a new column for every new actor (Actor 1, Actor 2), create a new table dedicated solely to actors. Each row in this new table will contain the Movie ID and one actor's name. This allows an unlimited number of actors per movie.
Once your data is separated into specialized tables, you can use Excel's Power Query or Power Pivot tools to link them back together for advanced reporting and analysis.
Create your main table containing the primary subject (e.g., Movies) and ensure it has a unique ID column, like 'Movie ID'.
Create a new worksheet and insert a new table for your related items (e.g., an 'Actors' table).
In the related table, add one column for the shared ID ('Movie ID') and another column for the item value ('Actor Name').
Add a new row for every single actor. If a movie has 15 actors, you will add 15 rows sharing the same Movie ID, avoiding the need for extra columns.
Navigate to the Data tab, select 'Get Data', and use Power Query or Power Pivot to build relationships between your primary and related tables using the shared 'Movie ID' column.

Efficiently Organize Relational Data with WPS Office
WPS Spreadsheet provides powerful data management tools, including advanced Pivot Tables and XLOOKUP functionalities, allowing you to easily handle relational data like movies and actors across multiple tables seamlessly.
- 1. Launch WPS Spreadsheet: Open WPS Office and create a new blank workbook to start building your database.
- 2. Create dedicated worksheets: Click the '+' icon next to the sheet tabs at the bottom to create separate sheets for 'Movies', 'Actors', and 'Genres'.
- 3. Format data as Tables: Select your headers and data ranges, then use the 'Format as Table' feature under the Home tab to ensure structured referencing.
- 4. Relate data via Functions: Use WPS Spreadsheet's built-in XLOOKUP, VLOOKUP, or INDEX/MATCH formulas to pull related information across different tables using your unique Movie ID.
- 5. Summarize with Pivot Tables: Go to the Insert tab, select 'PivotTable', and select your data ranges to analyze and display the related records effortlessly.

Frequently Asked Questions
Why shouldn't I just put all actors in one comma-separated cell?
Storing multiple values in a single cell (like 'Actor A, Actor B') makes it nearly impossible to filter, sort, or perform calculations on individual actors without using complex text-splitting formulas later on.
What is a shared or common column?
A shared column, often referred to as a Primary Key or Foreign Key, is a unique identifier (like a Movie ID) that appears in both your main table and related tables. This allows the software to know exactly which actors belong to which movie.
Will creating multiple worksheets slow down my Excel file?
No, spreading data across multiple worksheets does not inherently slow down your file. In fact, well-structured, normalized tables process faster and result in smaller file sizes than one massive, wide table filled with blank cells.




