<?xml version="1.0" encoding="utf-8"?>
<manifest manifest-version="0.1" xmlns="http://www.tableau.com/xml/extension_manifest">
  <worksheet-extension id="com.nizamov.easytables.viz" extension-version="1.41.1">
    <default-locale>en_US</default-locale>
    <name resource-id="name"/>
    <description resource-id="description"/>
    <author name="Eduard Nizamov" email="edward.nizamov@gmail.com" organization="Data &amp; Beyond" website="https://eduardnizamov.com"/>
    <min-api-version>1.12</min-api-version>
    <source-location>
      <url>https://easy-tables.databeyond.app/</url>
    </source-location>
    <icon>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</icon>
    <permissions>
      <permission>full data</permission>
    </permissions>
    <context-menu>
      <configure-context-menu-item />
    </context-menu>
    <encoding id="dimensions">
      <display-name>Dimensions</display-name>
      <encoding-icon token="text" />
      <tooltip>Drag dimension fields here to create table columns</tooltip>
    </encoding>
    <encoding id="measures">
      <display-name>Measures</display-name>
      <encoding-icon token="hash" />
      <tooltip>Drag measure fields here to display numeric values</tooltip>
    </encoding>
  </worksheet-extension>
  <resources>
    <resource id="name">
      <text locale="en_US">EasyTables</text>
    </resource>
    <resource id="description">
      <text locale="en_US">Self-service tables with grouping, pivots and formatting.</text>
    </resource>
  </resources>
</manifest>
