Paste values or build tables in seconds here. Choose cleaning rules, rounding, and tie handling. Get clear mode insights for your next analysis project.
| Row | Value | Comment |
|---|---|---|
| 1 | 12 | Appears frequently |
| 2 | 10 | Other observation |
| 3 | 12 | Appears frequently |
| 4 | 9 | Other observation |
| 5 | 12 | Appears frequently |
| 6 | 11 | Other observation |
| 7 | 10 | Other observation |
| 8 | 12 | Appears frequently |
| 9 | 9 | Other observation |
| 10 | 10 | Other observation |
| 11 | 12 | Appears frequently |
| 12 | 8 | Other observation |
Count each unique value, then select the maximum count.
Use the provided frequencies instead of recounting raw rows.
Estimate the peak using the modal class and its neighbors.
Mode identifies the most common value in a dataset, making it ideal for categorical profiling, survey summaries, clickstream events, or error codes. Unlike mean, it remains meaningful when outliers or skew dominate. In dashboards, the mode highlights the typical state: the most frequent response, the most common category, or the most repeated measurement after rounding. Use it to support decisions that depend on prevalence rather than magnitude.
This calculator supports three workflows. Paste a raw list when you have data and want automated counting with trimming and case rules. Use the value frequency table when data is already aggregated or produced by a query. Choose grouped intervals for continuous measurements stored as classes, such as ranges of time or weight. Selecting the right input type prevents double counting and keeps interpretation consistent.
Real datasets can be multimodal, where two or more values share the highest frequency. Returning all modes preserves information for segmentation and troubleshooting in mixed populations. If you need one representative value, choose the first only rule, then document that a tie occurred. Always compare the maximum frequency to the total N; a weak mode may indicate a flat distribution where typical is not informative.
For grouped data, the exact mode is unknown because observations fall inside intervals. The estimator uses the modal class and neighboring frequencies to approximate where the peak lies. This is useful for histograms, telemetry, and summarized lab data. Ensure class widths are consistent and intervals are ordered. If the denominator becomes zero, the distribution around the peak is too symmetric to locate a stable maximum within the modal class.
Reliable mode reporting depends on clean inputs. Trim spaces, ignore blanks, and consider rounding with bin decimals when numeric noise creates artificial uniqueness. Review the frequency table to spot unexpected labels, data entry errors, or class gaps. Export results to share with stakeholders, attach to reports, or archive pipeline checks. When auditing, keep the same settings across runs so trends in the most frequent value remain comparable over time.
It handles numeric values, categorical labels, and grouped class intervals. Auto-detect helps when raw lists are mixed, but you can force numeric or categorical mode for consistent counting.
Use it when measurements vary by tiny noise, such as sensor outputs. Rounding before counting clusters near-equal values so the most frequent level becomes visible, while still preserving useful resolution.
If multiple values share the maximum frequency, the calculator can return all modes or only the first. Returning all is safer for analysis; first-only is convenient when you must pick a single representative.
Provide one value and its frequency per line, separated by a comma or tab, for example “A, 12”. Frequencies are rounded to whole counts and summed when the same value appears in multiple rows.
It uses the modal class, the previous and next class frequencies, and the class width to estimate the peak location inside the modal interval. The estimator is most reliable when class widths are equal and intervals are ordered.
Exports contain the input type, total N, mode result, maximum frequency, and a frequency table. Grouped mode exports also include the intermediate values used in the estimator and any validation notes.
Important Note: All the Calculators listed in this site are for educational purpose only and we do not guarentee the accuracy of results. Please do consult with other sources as well.