Mastering the ability to auto number or renumber lists in Excel after applying filters is a crucial skill for maintaining organized data. This guide provides straightforward steps to achieve seamless automatic numbering, even when your data set has been filtered.
While Excel offers native functions to auto number, we will also explore how using Sourcetable can simplify this process, offering an easier alternative for data numbering tasks.
To auto number visible cells after filtering, use the formula =SUBTOTAL(3, B$2:B2). This function only numbers the filtered, visible cells.
A VBA macro can be written to renumber rows automatically. Excel VBA enables custom auto numbering suitable for advanced users.
Kutools for Excel offers an 'Insert Sequence Number' feature that can help in renumbering rows efficiently.
Create a temporary column to maintain the original sort order before filtering. This method helps in retaining the sequence after applying filters.
To sequence number visible cells post-filtering, use the 'F5...Special Cells' method. It's effective for sequentially numbering only the visible cells after a filter is applied.
Excel is the tried-and-true spreadsheet tool, known for its robust functionality in data analysis and manipulation. However, Sourcetable redefines efficiency by integrating multiple data sources into a single, user-friendly platform. This integration facilitates streamlined data querying, a task that can be cumbersome in Excel when dealing with disparate data sets.
Sourcetable's unique selling point is its AI copilot, a feature absent in Excel. This AI assistance simplifies the creation of formulas and templates, enabling users to achieve complex tasks with ease. It's a game-changer for those who are not adept at Excel's formula syntax, providing a more accessible spreadsheet experience.
The simplicity of Sourcetable's chat interface contrasts with Excel's traditional formula bar, offering an intuitive pathway for users to engage with their data. This innovation not only boosts productivity but also democratizes data analysis, making it more approachable for a broader audience.