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Structuring data correctly

How to build tables from scratch - column headers, data types and the importance of consistent entries for later formulas and analysis.

Why table structure matters

An Excel spreadsheet is only reliably usable when its structure is correct from the start. Formulas, pivot tables, Power Automate connections and exports all assume that data is arranged consistently and predictably. Knowing the ground rules saves a lot of corrections and frustration later.

The four ground rules

1. Column header in row 1 – exactly once

Every column gets a unique, descriptive name in row 1. No merged cells, no empty column headers, no duplicate names. Good column headers: Class, Name, Score, Date. Bad headers: Data 1, Column A, or two columns with the same name.

2. One row = one record

Every data row represents exactly one entry – one student, one event, one transaction. No blank rows between records, no summary rows inside the data. Summaries and averages belong below the table or in a separate sheet, not mixed in with the data.

3. Consistent data types per column

A column always contains the same type: only numbers, only dates, only text. Mixed types like 85 and 85 points in the same column break formulas and analysis. Units (%, €, h) belong in the column header or in a separate column – not inside the cells themselves.

4. No merged cells or decorative formatting as structure

Merged cells look tidy but are incompatible with formulas and automation. Filters, XLOOKUP and Power Automate do not work reliably with merged cells. Structure is created through columns, not through formatting.

Activate an Excel Table

Anyone who follows these four rules can convert the dataset to a formatted Excel Table with Ctrl + T (or: Insert → Table). This brings clear benefits:

  • Formulas extend automatically to new rows
  • Columns are addressable by name, e.g. =Results[Score]
  • Power Automate can read and write the table directly
  • Filters and sorting work reliably
  • New rows are automatically included in formulas

Common mistakes and how to spot them

  • Empty cells in an ID or key column: Every record needs a unique identifier. Missing values there mean records cannot be reliably matched.
  • Dates stored as text: If date filters don't work or calculations give wrong results, the date is often stored as text rather than a real date. Test: select the cell → right-click → Format cells. If it shows "Text" instead of "Date", it needs correcting.
  • Numbers with leading spaces: A number like 85 with a leading space is treated as text. SUM and COUNTIF will ignore it.

Key takeaway

Structure first, formatting second. A well-structured table without any colours is ten times more useful than a good-looking but unstructured list.

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