- What's the difference between QUARTILE.INC and QUARTILE.EXC?
- Both functions divide data into quarters, but they use different calculation methods. QUARTILE.INC treats your data as an entire population and uses the inclusive method, which is the Excel default. QUARTILE.EXC treats your data as a sample and excludes the endpoints when calculating. For most business datasets, QUARTILE.INC is the right choice; both give nearly identical results on large datasets but may differ for small ones (fewer than 20 values).
- Can QUARTILE.INC work with text values, dates, or mixed data?
- No, QUARTILE.INC requires numeric values only and will return #VALUE! if the array contains text, dates stored as text, or blanks. You may need to filter to numeric columns only, convert text to numbers, or use a different approach like COUNTIF if you're trying to analyze categorical data.
- How does QUARTILE.INC handle datasets with an even number of values?
- QUARTILE.INC interpolates between values when the quartile position falls between two data points. With 10 values, for example, the median position is 5.5, so it averages the 5th and 6th sorted values. This produces a more precise quartile estimate than rounding up or down.
- What does each quart value (0–4) tell me about my data?
- Quart 0 gives the minimum value (useful for finding the cheapest service). Quart 1 (25th percentile) shows where the lowest quarter ends. Quart 2 (median) is the center. Quart 3 (75th percentile) shows where the upper quarter begins. Quart 4 is the maximum (most expensive). Together, they paint a picture of how your costs are distributed: a tight cluster means most services are similar, while a wide spread means they vary greatly.