> For the complete documentation index, see [llms.txt](https://docs.infotopics.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.infotopics.com/writebackextreme/features/tableau-extension/end-user/data-correction/interpolate.md). # Interpolate {% hint style="info" %} You need to enable PowerTools in the configuration for this feature. {% endhint %} Data Correction can be used to clean data, enable power tools to bulk edit your values. There’s possibilities such as adding, subtracting, dividing and multiplying with a chosen value. If there are empty values use our powerful Interpolate tool! Sometimes you want to fill in the missing data points automatically, based on related data. This is something the build-in interpolation function can help you with. Interpolation is a method of constructing new datapoints within the range of a set of known datapoints. To use the interpolation function of the Data Correction module, select multiple fields. You must provide data that can be used to interpolate, i.e. the datapoint prior and the datapoint latter to the missing datapoints. When you selected the correct datapoints, you can use the calculator icon above the column and select “Interpolate” to fill in the missing datapoints.
### **Interpolation** Sometimes you want to fill in the missing data points automatically, based on related data. This is something the build-in interpolation function can help you with. Interpolation is a method of constructing new datapoints within the range of a set of known datapoints. We use linear interpolation method of [curve fitting](https://en.wikipedia.org/wiki/Curve_fitting) using [linear polynomials](https://en.wikipedia.org/wiki/Linear_polynomial) to construct new data points within the range of a discrete set of known data points. WriteBackExtreme Interpolation To use the interpolation function of the Data Correction module, select multiple fields. You must provide data that can be used to interpolate, i.e. the datapoint prior and the datapoint latter to the missing datapoints. When you selected the correct datapoints, you can use the calculator icon above the column and select “Interpolate” to fill in the missing datapoints. ![WriteBackExtreme Product Guide Modules modules](https://appsfortableau.infotopics.com/wp-content/uploads/2021/01/Data-Correction-Interpolation.gif) --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation by asking a question. Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters: ``` GET https://docs.infotopics.com/writebackextreme/features/tableau-extension/end-user/data-correction/interpolate.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.