This node allows to group numeric data in intervals - called bins. There are two naming options for the bins and two methods which define the number and the range of values that fall in a bin. Please use the "Numeric Binner" node if you want to define custom bins.

- Column Selection:
- Columns in the include list are processed separately. The columns in the exclude list are omitted by the node.
- Binning Method:
- Use
**Fixed number of bins**for bins with equal**width**over the domain range or bins that have an equal**frequency**of element occurrences. Use**Sample quantiles**to produces bins corresponding to the given list of probabilities. The smallest element corresponds to a probability of 0 and the largest do probability of 1. The applied estimation method is Type 7 which is the default method in R, S and Excel. - Bin Naming:
- Use
**Numbered**for bins labeled by an integer with prefix "Bin",**Borders**for labels using '"(a,b]"' interval notation or**Midpoints**for labels that show the midpoint of the interval. - Force integer bounds
- Forces the bounds of the interval to be integers.
The decimal bounds
will be converted so that the lower bound of the
first interval will
be the floor of the lowest value and the upper
bound of the last
interval will be the ceiling of the highest value.
The edges that
separate the intervals will be the ceiling of the
decimal edges.
Duplicates of edges will be removed.

Examples:

[0.1,0.9], (0.9,1.8] -> [0,1], (1,2]

[3.9,4.1], (4.1,4.9], (4.9,5.1] -> [3,5], (5,6] - Replace target column(s):
- If set the columns in the include list are replaced by the binned columns otherwise columns named with suffix '[binned]' are appended.
- Advanced formatting
- If enabled the format of the doubles in the labels can be configured by the options in this tab.
- Output format
- Specify the output format. The number 0.00000035239 will be displayed
as 3.52E-7 with
**Standard String**, 0.000000352 with**Plain String (no exponent)**and 352E-9 with**Engineering String**. - Precision
- The scale of the double values to round to. If the scale is reduced the specified rounding mode is applied.
- Precision mode
- The type of precision to which the values are rounded. Decimal places, the default option rounds to the specified decimal places, whereas significant figures rounds to significant figures or numbers.
- Rounding mode
- The rounding mode which is applied when double values are rounded.
The rounding mode specifies the rounding behavior. Seven different
rounding modes are available:

- UP: Rounding mode to round away from zero.
- DOWN: Rounding mode to round towards zero.
- CEILING: Rounding mode to round towards positive infinity.
- FLOOR: Rounding mode to round towards negative infinity.
- HALF_UP: Rounding mode to round towards "nearest neighbor" unless both neighbors are equidistant, in which case round up.
- HALF_DOWN: Rounding mode to round towards "nearest neighbor" unless both neighbors are equidistant, in which case round down.
- HALF_EVEN: Rounding mode to round towards the "nearest neighbor" unless both neighbors are equidistant, in which case, round towards the even neighbor.

- This node has no views

- 00 Data GenerationKNIME Hub
- 00_Guided_Labeling_for_Document_Classification_(legacy)KNIME Hub
- 00b-KNIME_Introduction_ProteomicsKNIME Hub
- 01_AnalyticsKNIME Hub
- 01_AnalyticsKNIME Hub
- Show all 194 workflows

- How to convert a value into a nominal value?by armingrudd on 2019-07-06forum.knime.com/p/64642
- Plotting range of temperatures vs a value?by andrejz on 2020-07-27forum.knime.com/p/98188

You want to see the source code for this node? Click the following button and we’ll use our super-powers to find it for you.

To use this node in KNIME, install the extension KNIME Base nodes from the below update site following our NodePit Product and Node Installation Guide:

v4.5

A zipped version of the software site can be downloaded here.

Do you have feedback, questions, comments about NodePit, want to support this platform, or want your own nodes or workflows listed here as well? Do you think, the search results could be improved or something is missing? Then please get in touch! Alternatively, you can send us an email to mail@nodepit.com, follow @NodePit on Twitter, or chat on Gitter!

**Please note that this is only about NodePit. We do not provide general support for KNIME — please use the KNIME forums instead.**