Excel Tables are powerful data objects which make life easier for users. It improves data accessibility and analysis with the help of derived rows and columns. Before jumping to the benefits, I want to show how we convert data to an excel table. The sample data used in my example has been taken from https://www.contextures.com/xlsampledata01.html.
Converting data to excel table -
Select the data range, go to the Home tab in the ribbon, select Format as Table, and select any format. It will convert your data to an excel table object.
Benefits of this conversion -
1. Sorting and Filtering is more accessible - You can click on the small dropdown next to the column name that you want to sort or filter from.
2. Addition of rows and columns is easier - You can simply add adjacent rows and columns and excel will automatically make them a part of the table.
3. Frozen headers - Table headers are by default frozen. Here I have scrolled till the 9th row, still, the column headers are still visible.
4. Attractive formatting - You can get beautiful table formats with different colour bands.
5. Dynamic Data - Charts, Graphs, and Pivot tables will automatically be updated as we add new rows to the table. The moment you add new data and refresh your chart or pivot table, it will automatically reflect.
6. Fomulae stay consistent throughout - Usually when you write a formula to calculate a field, you need to drag that formula down to all the rows. But in case of tables, you can insert the formula in the first row, and excel will apply the formula to all the following rows by its own. You can also see that the referencing in the formula is based on column name rather than cell coordinates.
7. Column referencing made easier - Instead of cell coordinates in the formula, you can directly use the table name and its column names. You can check the formula I used to evaluate average age of the players.
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