---
schema_version: "1"
id: 44b0dc070638d745db7ec283376955180df543a46241d4aca3e95dfb2d90bb9d
title: Replace Missing Numerical Values
collection: admin
version: current
locale: en-us
portal_url: https://docs.salesforce.com/admin/current/en-us/analytics/264-0-0/bi_edd_story_impute.md
canonical_url: https://help.salesforce.com/s/articleView?id=analytics.bi_edd_story_impute.htm&release=264.0.0&type=5
source_site: help.salesforce.com
content_type: documentation
content_hash: 36f8f885ee0b31c9b3c90387726bd9de55c962f2928ef2112bd6c816ba2c4dc8
description: Einstein Discovery allows you to replace missing numerical values in your model. Use the Replace Missing Variables transformation to enable statistical imputation on a numeric variable. Einstein Discovery automatically replaces missing values with data derived from another subset of your data.
products:
  - CRM Analytics
  - Cross Cloud
release: "264"
---
# Replace Missing Numerical Values

Einstein Discovery allows you to replace missing numerical values in your model. Use the Replace Missing Variables transformation to enable statistical imputation on a numeric variable. Einstein Discovery automatically replaces missing values with data derived from another subset of your data.

### Required Editions

![Note](https://sf-zdocs-cdn-prod.zoominsoftware.com/tdta-analytics-bi-264-0-0-production-enus/ec791473-f5b4-4f64-a656-9104f455d966/images/icon_note.png)

Note Einstein Discovery stories are now models. We wish we could snap our fingers to update the name everywhere, but you can expect to see the previous name in a few places until we replace it.

<table class="slds-table slds-table_bordered slds-max-medium-table_stacked slds-m-bottom_small edition"><colgroup><col></colgroup><tbody><tr class=""><td class="slds-cell-wrap" style="vertical-align:top;">Available in Salesforce Classic and Lightning Experience.</td></tr><tr class=""><td class="slds-cell-wrap" style="vertical-align:top;">Available with CRM Analytics, which is available for an extra cost in <strong>Enterprise</strong>, <strong>Performance</strong>, and <strong>Unlimited</strong> Editions. Also available in <strong>Developer</strong> Edition.</td></tr></tbody></table>

<table class="slds-table slds-table_bordered slds-max-medium-table_stacked slds-m-bottom_small permission">
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              <th scope="colgroup" class="slds-cell-wrap" colspan="2" style="text-align:center;vertical-align:top;" id="d171738e52">User Permissions Needed</th>
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              <td data-label="User Permissions Needed" class="slds-cell-wrap" style="vertical-align:top;" headers="d171738e52 ">To configure number fields in a model:</td>
              <td class="slds-cell-wrap" style="vertical-align:top;" headers="d171738e52 ">Create and Update Einstein Discovery Models</td>
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1. In Model Setup, select a numeric variable that contains missing or null values.
2. Click the **Transform** dropdown menu and select **Replace Missing Values**.
    
    ![Replace missing values for a numeric variable.](https://sf-zdocs-cdn-prod.zoominsoftware.com/tdta-analytics-bi-264-0-0-production-enus/ec791473-f5b4-4f64-a656-9104f455d966/bi/images/bi/bi_edd_story_impute.png)
3. Calculate the values by selecting average, median, or mode from the **Replace with** dropdown menu.
4. Select the variable that you want to derive imputed values from the **For variable** dropdown menu.