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Customize your visualization with SDK components

Tip

This lesson is part of a course that teaches you how to build a custom visualization on the New Relic platform.

Use New Relic custom visualizations to display your data, whether it's from New Relic's database or an external source, in unique ways that are distinct from the charts offered by the New Relic platform.

In this lesson, you build a visualization that displays your data in one of two chart types: RadarChart or Treemap. You then implement a SegmentedControl component from the New Relic One SDK, which allows you to alternate between the two chart types. Ultimately, this gives you freedom to view your data in a dynamic way that isn't possible with New Relic's base offerings.

Tip

If you get lost in the code project and would like to see what the files should look like when you're done with each lesson, check out the course project on Github.

Before you begin

Finally, if you haven't already:

Create your visualization

Ensure you're working with the latest version of the New Relic CLI:

bash
$
nr1 update

Create a visualization, called radar-or-treemap, in a Nerdpack, called alternate-viz:

bash
$
nr1 create --type visualization --name radar-or-treemap
✔ You’re trying to create a visualization outside of a Nerdpack.  We’ll create a Nerdpack for you—what do you want to name it? … alternate-viz
✔  nerdpack created successfully!
   nerdpack alternate-viz is available at "./alternate-viz"
✔  visualization created successfully!
   visualization radar-or-treemap is available at "./alternate-viz/visualizations/radar-or-treemap"

Tip

If you receive a RequestError for a self-signed certificate when you run nr1 create, you may need to add a certificate to Node's certificate chain.

As a result, you have a new visualizations/radar-or-treemap directory under alternate-viz:

bash
$
cd alternate-viz
$
ls visualizations/radar-or-treemap
index.js    nr1.json    styles.scss
import React from 'react';
import PropTypes from 'prop-types';
import {
  Radar,
  RadarChart,
  PolarGrid,
  PolarAngleAxis,
  PolarRadiusAxis,
} from 'recharts';
import {Card, CardBody, HeadingText, NrqlQuery, Spinner, AutoSizer} from 'nr1';


export default class RadarOrTreemapVisualization extends React.Component {
  // Custom props you wish to be configurable in the UI must also be defined in
  // the nr1.json file for the visualization. See docs for more details.
  static propTypes = {
    /**
     * A fill color to override the default fill color. This is an example of
     * a custom chart configuration.
     */
    fill: PropTypes.string,


    /**
     * A stroke color to override the default stroke color. This is an example of
     * a custom chart configuration.
     */
    stroke: PropTypes.string,
    /**
     * An array of objects consisting of a nrql `query` and `accountId`.
     * This should be a standard prop for any NRQL based visualizations.
     */
    nrqlQueries: PropTypes.arrayOf(
      PropTypes.shape({
        accountId: PropTypes.number,
        query: PropTypes.string,
      })
    ),
  };


  /**
   * Restructure the data for a non-time-series, facet-based NRQL query into a
   * form accepted by the Recharts library's RadarChart.
   * (https://recharts.org/api/RadarChart).
   */
  transformData = (rawData) => {
    return rawData.map((entry) => ({
      name: entry.metadata.name,
      // Only grabbing the first data value because this is not time-series data.
      value: entry.data[0].y,
    }));
  };


  /**
   * Format the given axis tick's numeric value into a string for display.
   */
  formatTick = (value) => {
    return value.toLocaleString();
  };


  render() {
    const {nrqlQueries, stroke, fill} = this.props;


    const nrqlQueryPropsAvailable =
      nrqlQueries &&
      nrqlQueries[0] &&
      nrqlQueries[0].accountId &&
      nrqlQueries[0].query;


    if (!nrqlQueryPropsAvailable) {
      return <EmptyState />;
    }


    return (
      <AutoSizer>
        {({width, height}) => (
          <NrqlQuery
            query={nrqlQueries[0].query}
            accountId={parseInt(nrqlQueries[0].accountId)}
            pollInterval={NrqlQuery.AUTO_POLL_INTERVAL}
          >
            {({data, loading, error}) => {
              if (loading) {
                return <Spinner />;
              }


              if (error) {
                return <ErrorState />;
              }


              const transformedData = this.transformData(data);


              return (
                <RadarChart
                  width={width}
                  height={height}
                  data={transformedData}
                >
                  <PolarGrid />
                  <PolarAngleAxis dataKey="name" />
                  <PolarRadiusAxis tickFormatter={this.formatTick} />
                  <Radar
                    dataKey="value"
                    stroke={stroke || '#51C9B7'}
                    fill={fill || '#51C9B7'}
                    fillOpacity={0.6}
                  />
                </RadarChart>
              );
            }}
          </NrqlQuery>
        )}
      </AutoSizer>
    );
  }
}


const EmptyState = () => (
  <Card className="EmptyState">
    <CardBody className="EmptyState-cardBody">
      <HeadingText
        spacingType={[HeadingText.SPACING_TYPE.LARGE]}
        type={HeadingText.TYPE.HEADING_3}
      >
        Please provide at least one NRQL query & account ID pair
      </HeadingText>
      <HeadingText
        spacingType={[HeadingText.SPACING_TYPE.MEDIUM]}
        type={HeadingText.TYPE.HEADING_4}
      >
        An example NRQL query you can try is:
      </HeadingText>
      <code>FROM NrUsage SELECT sum(usage) FACET metric SINCE 1 week ago</code>
    </CardBody>
  </Card>
);


const ErrorState = () => (
  <Card className="ErrorState">
    <CardBody className="ErrorState-cardBody">
      <HeadingText
        className="ErrorState-headingText"
        spacingType={[HeadingText.SPACING_TYPE.LARGE]}
        type={HeadingText.TYPE.HEADING_3}
      >
        Oops! Something went wrong.
      </HeadingText>
    </CardBody>
  </Card>
);
visualizations/radar-or-treemap/index.js

Set up your component state

Add component state to the default visualization template that nr1 created for you.

Navigate to alternate-viz/visualizations/radar-or-treemap/index.js. You'll work in here for the rest of this lesson.

Add a constant called CHART_TYPES:

import React from 'react';
import PropTypes from 'prop-types';
import {
  Radar,
  RadarChart,
  PolarGrid,
  PolarAngleAxis,
  PolarRadiusAxis,
} from 'recharts';
import {Card, CardBody, HeadingText, NrqlQuery, Spinner, AutoSizer} from 'nr1';


const CHART_TYPES = {
  'Radar': 'radar',
  'Treemap': 'treemap'
}


export default class RadarOrTreemapVisualization extends React.Component {
  // Custom props you wish to be configurable in the UI must also be defined in
  // the nr1.json file for the visualization. See docs for more details.
  static propTypes = {
    /**
     * A fill color to override the default fill color. This is an example of
     * a custom chart configuration.
     */
    fill: PropTypes.string,


    /**
     * A stroke color to override the default stroke color. This is an example of
     * a custom chart configuration.
     */
    stroke: PropTypes.string,
    /**
     * An array of objects consisting of a nrql `query` and `accountId`.
     * This should be a standard prop for any NRQL based visualizations.
     */
    nrqlQueries: PropTypes.arrayOf(
      PropTypes.shape({
        accountId: PropTypes.number,
        query: PropTypes.string,
      })
    ),
  };


  /**
   * Restructure the data for a non-time-series, facet-based NRQL query into a
   * form accepted by the Recharts library's RadarChart.
   * (https://recharts.org/api/RadarChart).
   */
  transformData = (rawData) => {
    return rawData.map((entry) => ({
      name: entry.metadata.name,
      // Only grabbing the first data value because this is not time-series data.
      value: entry.data[0].y,
    }));
  };


  /**
   * Format the given axis tick's numeric value into a string for display.
   */
  formatTick = (value) => {
    return value.toLocaleString();
  };


  render() {
    const {nrqlQueries, stroke, fill} = this.props;


    const nrqlQueryPropsAvailable =
      nrqlQueries &&
      nrqlQueries[0] &&
      nrqlQueries[0].accountId &&
      nrqlQueries[0].query;


    if (!nrqlQueryPropsAvailable) {
      return <EmptyState />;
    }


    return (
      <AutoSizer>
        {({width, height}) => (
          <NrqlQuery
            query={nrqlQueries[0].query}
            accountId={parseInt(nrqlQueries[0].accountId)}
            pollInterval={NrqlQuery.AUTO_POLL_INTERVAL}
          >
            {({data, loading, error}) => {
              if (loading) {
                return <Spinner />;
              }


              if (error) {
                return <ErrorState />;
              }


              const transformedData = this.transformData(data);


              return (
                <RadarChart
                  width={width}
                  height={height}
                  data={transformedData}
                >
                  <PolarGrid />
                  <PolarAngleAxis dataKey="name" />
                  <PolarRadiusAxis tickFormatter={this.formatTick} />
                  <Radar
                    dataKey="value"
                    stroke={stroke || '#51C9B7'}
                    fill={fill || '#51C9B7'}
                    fillOpacity={0.6}
                  />
                </RadarChart>
              );
            }}
          </NrqlQuery>
        )}
      </AutoSizer>
    );
  }
}


const EmptyState = () => (
  <Card className="EmptyState">
    <CardBody className="EmptyState-cardBody">
      <HeadingText
        spacingType={[HeadingText.SPACING_TYPE.LARGE]}
        type={HeadingText.TYPE.HEADING_3}
      >
        Please provide at least one NRQL query & account ID pair
      </HeadingText>
      <HeadingText
        spacingType={[HeadingText.SPACING_TYPE.MEDIUM]}
        type={HeadingText.TYPE.HEADING_4}
      >
        An example NRQL query you can try is:
      </HeadingText>
      <code>FROM NrUsage SELECT sum(usage) FACET metric SINCE 1 week ago</code>
    </CardBody>
  </Card>
);


const ErrorState = () => (
  <Card className="ErrorState">
    <CardBody className="ErrorState-cardBody">
      <HeadingText
        className="ErrorState-headingText"
        spacingType={[HeadingText.SPACING_TYPE.LARGE]}
        type={HeadingText.TYPE.HEADING_3}
      >
        Oops! Something went wrong.
      </HeadingText>
    </CardBody>
  </Card>
);
visualizations/radar-or-treemap/index.js

CHART_TYPES enumerates the two chart types you'll alternate between in your visualization.

Initialize selectedChart in your component's state:

import React from 'react';
import PropTypes from 'prop-types';
import {
  Radar,
  RadarChart,
  PolarGrid,
  PolarAngleAxis,
  PolarRadiusAxis,
} from 'recharts';
import {Card, CardBody, HeadingText, NrqlQuery, Spinner, AutoSizer} from 'nr1';


const CHART_TYPES = {
  'Radar': 'radar',
  'Treemap': 'treemap'
}


export default class RadarOrTreemapVisualization extends React.Component {
  // Custom props you wish to be configurable in the UI must also be defined in
  // the nr1.json file for the visualization. See docs for more details.
  static propTypes = {
    /**
     * A fill color to override the default fill color. This is an example of
     * a custom chart configuration.
     */
    fill: PropTypes.string,


    /**
     * A stroke color to override the default stroke color. This is an example of
     * a custom chart configuration.
     */
    stroke: PropTypes.string,
    /**
     * An array of objects consisting of a nrql `query` and `accountId`.
     * This should be a standard prop for any NRQL based visualizations.
     */
    nrqlQueries: PropTypes.arrayOf(
      PropTypes.shape({
        accountId: PropTypes.number,
        query: PropTypes.string,
      })
    ),
  };


  state = {
    selectedChart: CHART_TYPES.Radar,
  };


  /**
   * Restructure the data for a non-time-series, facet-based NRQL query into a
   * form accepted by the Recharts library's RadarChart.
   * (https://recharts.org/api/RadarChart).
   */
  transformData = (rawData) => {
    return rawData.map((entry) => ({
      name: entry.metadata.name,
      // Only grabbing the first data value because this is not time-series data.
      value: entry.data[0].y,
    }));
  };


  /**
   * Format the given axis tick's numeric value into a string for display.
   */
  formatTick = (value) => {
    return value.toLocaleString();
  };


  render() {
    const {nrqlQueries, stroke, fill} = this.props;


    const nrqlQueryPropsAvailable =
      nrqlQueries &&
      nrqlQueries[0] &&
      nrqlQueries[0].accountId &&
      nrqlQueries[0].query;


    if (!nrqlQueryPropsAvailable) {
      return <EmptyState />;
    }


    return (
      <AutoSizer>
        {({width, height}) => (
          <NrqlQuery
            query={nrqlQueries[0].query}
            accountId={parseInt(nrqlQueries[0].accountId)}
            pollInterval={NrqlQuery.AUTO_POLL_INTERVAL}
          >
            {({data, loading, error}) => {
              if (loading) {
                return <Spinner />;
              }


              if (error) {
                return <ErrorState />;
              }


              const transformedData = this.transformData(data);


              return (
                <RadarChart
                  width={width}
                  height={height}
                  data={transformedData}
                >
                  <PolarGrid />
                  <PolarAngleAxis dataKey="name" />
                  <PolarRadiusAxis tickFormatter={this.formatTick} />
                  <Radar
                    dataKey="value"
                    stroke={stroke || '#51C9B7'}
                    fill={fill || '#51C9B7'}
                    fillOpacity={0.6}
                  />
                </RadarChart>
              );
            }}
          </NrqlQuery>
        )}
      </AutoSizer>
    );
  }
}


const EmptyState = () => (
  <Card className="EmptyState">
    <CardBody className="EmptyState-cardBody">
      <HeadingText
        spacingType={[HeadingText.SPACING_TYPE.LARGE]}
        type={HeadingText.TYPE.HEADING_3}
      >
        Please provide at least one NRQL query & account ID pair
      </HeadingText>
      <HeadingText
        spacingType={[HeadingText.SPACING_TYPE.MEDIUM]}
        type={HeadingText.TYPE.HEADING_4}
      >
        An example NRQL query you can try is:
      </HeadingText>
      <code>FROM NrUsage SELECT sum(usage) FACET metric SINCE 1 week ago</code>
    </CardBody>
  </Card>
);


const ErrorState = () => (
  <Card className="ErrorState">
    <CardBody className="ErrorState-cardBody">
      <HeadingText
        className="ErrorState-headingText"
        spacingType={[HeadingText.SPACING_TYPE.LARGE]}
        type={HeadingText.TYPE.HEADING_3}
      >
        Oops! Something went wrong.
      </HeadingText>
    </CardBody>
  </Card>
);
visualizations/radar-or-treemap/index.js

This state value stores the chart type in which you want to show your data.

Now that you've created an object which enumerates the chart type options for your visualization, and you've initialized state.selectedChart, you're ready to implement a control UI for switching between the two chart types.

Add SegmentedControl components

state.selectedChart isn't useful unless your visualization's users can actually select a chart type. Use SegmentedControl and SegmentedControlItem to switch between the two chart types.

Import SegmentedControl and SegmentedControlItem from nr1:

import React from 'react';
import PropTypes from 'prop-types';
import {
  Radar,
  RadarChart,
  PolarGrid,
  PolarAngleAxis,
  PolarRadiusAxis,
} from 'recharts';
import {
    AutoSizer,
    Card,
    CardBody,
    HeadingText,
    NrqlQuery,
    SegmentedControl,
    SegmentedControlItem,
    Spinner,
} from 'nr1';


const CHART_TYPES = {
  'Radar': 'radar',
  'Treemap': 'treemap'
}


export default class RadarOrTreemapVisualization extends React.Component {
  // Custom props you wish to be configurable in the UI must also be defined in
  // the nr1.json file for the visualization. See docs for more details.
  static propTypes = {
    /**
     * A fill color to override the default fill color. This is an example of
     * a custom chart configuration.
     */
    fill: PropTypes.string,


    /**
     * A stroke color to override the default stroke color. This is an example of
     * a custom chart configuration.
     */
    stroke: PropTypes.string,
    /**
     * An array of objects consisting of a nrql `query` and `accountId`.
     * This should be a standard prop for any NRQL based visualizations.
     */
    nrqlQueries: PropTypes.arrayOf(
      PropTypes.shape({
        accountId: PropTypes.number,
        query: PropTypes.string,
      })
    ),
  };


  state = {
    selectedChart: CHART_TYPES.Radar,
  };


  /**
   * Restructure the data for a non-time-series, facet-based NRQL query into a
   * form accepted by the Recharts library's RadarChart.
   * (https://recharts.org/api/RadarChart).
   */
  transformData = (rawData) => {
    return rawData.map((entry) => ({
      name: entry.metadata.name,
      // Only grabbing the first data value because this is not time-series data.
      value: entry.data[0].y,
    }));
  };


  /**
   * Format the given axis tick's numeric value into a string for display.
   */
  formatTick = (value) => {
    return value.toLocaleString();
  };


  render() {
    const {nrqlQueries, stroke, fill} = this.props;


    const nrqlQueryPropsAvailable =
      nrqlQueries &&
      nrqlQueries[0] &&
      nrqlQueries[0].accountId &&
      nrqlQueries[0].query;


    if (!nrqlQueryPropsAvailable) {
      return <EmptyState />;
    }


    return (
      <AutoSizer>
        {({width, height}) => (
          <NrqlQuery
            query={nrqlQueries[0].query}
            accountId={parseInt(nrqlQueries[0].accountId)}
            pollInterval={NrqlQuery.AUTO_POLL_INTERVAL}
          >
            {({data, loading, error}) => {
              if (loading) {
                return <Spinner />;
              }


              if (error) {
                return <ErrorState />;
              }


              const transformedData = this.transformData(data);


              return (
                <RadarChart
                  width={width}
                  height={height}
                  data={transformedData}
                >
                  <PolarGrid />
                  <PolarAngleAxis dataKey="name" />
                  <PolarRadiusAxis tickFormatter={this.formatTick} />
                  <Radar
                    dataKey="value"
                    stroke={stroke || '#51C9B7'}
                    fill={fill || '#51C9B7'}
                    fillOpacity={0.6}
                  />
                </RadarChart>
              );
            }}
          </NrqlQuery>
        )}
      </AutoSizer>
    );
  }
}


const EmptyState = () => (
  <Card className="EmptyState">
    <CardBody className="EmptyState-cardBody">
      <HeadingText
        spacingType={[HeadingText.SPACING_TYPE.LARGE]}
        type={HeadingText.TYPE.HEADING_3}
      >
        Please provide at least one NRQL query & account ID pair
      </HeadingText>
      <HeadingText
        spacingType={[HeadingText.SPACING_TYPE.MEDIUM]}
        type={HeadingText.TYPE.HEADING_4}
      >
        An example NRQL query you can try is:
      </HeadingText>
      <code>FROM NrUsage SELECT sum(usage) FACET metric SINCE 1 week ago</code>
    </CardBody>
  </Card>
);


const ErrorState = () => (
  <Card className="ErrorState">
    <CardBody className="ErrorState-cardBody">
      <HeadingText
        className="ErrorState-headingText"
        spacingType={[HeadingText.SPACING_TYPE.LARGE]}
        type={HeadingText.TYPE.HEADING_3}
      >
        Oops! Something went wrong.
      </HeadingText>
    </CardBody>
  </Card>
);
visualizations/radar-or-treemap/index.js

In render(), wrap RadarChart in a React.Fragment:

import React from 'react';
import PropTypes from 'prop-types';
import {
  Radar,
  RadarChart,
  PolarGrid,
  PolarAngleAxis,
  PolarRadiusAxis,
} from 'recharts';
import {
    AutoSizer,
    Card,
    CardBody,
    HeadingText,
    NrqlQuery,
    SegmentedControl,
    SegmentedControlItem,
    Spinner,
} from 'nr1';


const CHART_TYPES = {
  'Radar': 'radar',
  'Treemap': 'treemap'
}


export default class RadarOrTreemapVisualization extends React.Component {
  // Custom props you wish to be configurable in the UI must also be defined in
  // the nr1.json file for the visualization. See docs for more details.
  static propTypes = {
    /**
     * A fill color to override the default fill color. This is an example of
     * a custom chart configuration.
     */
    fill: PropTypes.string,


    /**
     * A stroke color to override the default stroke color. This is an example of
     * a custom chart configuration.
     */
    stroke: PropTypes.string,
    /**
     * An array of objects consisting of a nrql `query` and `accountId`.
     * This should be a standard prop for any NRQL based visualizations.
     */
    nrqlQueries: PropTypes.arrayOf(
      PropTypes.shape({
        accountId: PropTypes.number,
        query: PropTypes.string,
      })
    ),
  };


  state = {
    selectedChart: CHART_TYPES.Radar,
  };


  /**
   * Restructure the data for a non-time-series, facet-based NRQL query into a
   * form accepted by the Recharts library's RadarChart.
   * (https://recharts.org/api/RadarChart).
   */
  transformData = (rawData) => {
    return rawData.map((entry) => ({
      name: entry.metadata.name,
      // Only grabbing the first data value because this is not time-series data.
      value: entry.data[0].y,
    }));
  };


  /**
   * Format the given axis tick's numeric value into a string for display.
   */
  formatTick = (value) => {
    return value.toLocaleString();
  };


  render() {
    const {nrqlQueries, stroke, fill} = this.props;


    const nrqlQueryPropsAvailable =
      nrqlQueries &&
      nrqlQueries[0] &&
      nrqlQueries[0].accountId &&
      nrqlQueries[0].query;


    if (!nrqlQueryPropsAvailable) {
      return <EmptyState />;
    }


    return (
      <AutoSizer>
        {({width, height}) => (
          <NrqlQuery
            query={nrqlQueries[0].query}
            accountId={parseInt(nrqlQueries[0].accountId)}
            pollInterval={NrqlQuery.AUTO_POLL_INTERVAL}
          >
            {({data, loading, error}) => {
              if (loading) {
                return <Spinner />;
              }


              if (error) {
                return <ErrorState />;
              }


              const transformedData = this.transformData(data);


              return (
                <React.Fragment>
                <RadarChart
                  width={width}
                  height={height}
                  data={transformedData}
                >
                  <PolarGrid />
                  <PolarAngleAxis dataKey="name" />
                  <PolarRadiusAxis tickFormatter={this.formatTick} />
                  <Radar
                    dataKey="value"
                    stroke={stroke || '#51C9B7'}
                    fill={fill || '#51C9B7'}
                    fillOpacity={0.6}
                  />
                </RadarChart>
                </React.Fragment>
              );
            }}
          </NrqlQuery>
        )}
      </AutoSizer>
    );
  }
}


const EmptyState = () => (
  <Card className="EmptyState">
    <CardBody className="EmptyState-cardBody">
      <HeadingText
        spacingType={[HeadingText.SPACING_TYPE.LARGE]}
        type={HeadingText.TYPE.HEADING_3}
      >
        Please provide at least one NRQL query & account ID pair
      </HeadingText>
      <HeadingText
        spacingType={[HeadingText.SPACING_TYPE.MEDIUM]}
        type={HeadingText.TYPE.HEADING_4}
      >
        An example NRQL query you can try is:
      </HeadingText>
      <code>FROM NrUsage SELECT sum(usage) FACET metric SINCE 1 week ago</code>
    </CardBody>
  </Card>
);


const ErrorState = () => (
  <Card className="ErrorState">
    <CardBody className="ErrorState-cardBody">
      <HeadingText
        className="ErrorState-headingText"
        spacingType={[HeadingText.SPACING_TYPE.LARGE]}
        type={HeadingText.TYPE.HEADING_3}
      >
        Oops! Something went wrong.
      </HeadingText>
    </CardBody>
  </Card>
);
visualizations/radar-or-treemap/index.js

This allows you to return multiple components from the same render().

Add a SegmentedControl and two SegmentedControlItem components, each with a value and a label:

import React from 'react';
import PropTypes from 'prop-types';
import {
  Radar,
  RadarChart,
  PolarGrid,
  PolarAngleAxis,
  PolarRadiusAxis,
} from 'recharts';
import {
    AutoSizer,
    Card,
    CardBody,
    HeadingText,
    NrqlQuery,
    SegmentedControl,
    SegmentedControlItem,
    Spinner,
} from 'nr1';


const CHART_TYPES = {
  'Radar': 'radar',
  'Treemap': 'treemap'
}


export default class RadarOrTreemapVisualization extends React.Component {
  // Custom props you wish to be configurable in the UI must also be defined in
  // the nr1.json file for the visualization. See docs for more details.
  static propTypes = {
    /**
     * A fill color to override the default fill color. This is an example of
     * a custom chart configuration.
     */
    fill: PropTypes.string,


    /**
     * A stroke color to override the default stroke color. This is an example of
     * a custom chart configuration.
     */
    stroke: PropTypes.string,
    /**
     * An array of objects consisting of a nrql `query` and `accountId`.
     * This should be a standard prop for any NRQL based visualizations.
     */
    nrqlQueries: PropTypes.arrayOf(
      PropTypes.shape({
        accountId: PropTypes.number,
        query: PropTypes.string,
      })
    ),
  };


  state = {
    selectedChart: CHART_TYPES.Radar,
  };


  /**
   * Restructure the data for a non-time-series, facet-based NRQL query into a
   * form accepted by the Recharts library's RadarChart.
   * (https://recharts.org/api/RadarChart).
   */
  transformData = (rawData) => {
    return rawData.map((entry) => ({
      name: entry.metadata.name,
      // Only grabbing the first data value because this is not time-series data.
      value: entry.data[0].y,
    }));
  };


  /**
   * Format the given axis tick's numeric value into a string for display.
   */
  formatTick = (value) => {
    return value.toLocaleString();
  };


  render() {
    const {nrqlQueries, stroke, fill} = this.props;


    const nrqlQueryPropsAvailable =
      nrqlQueries &&
      nrqlQueries[0] &&
      nrqlQueries[0].accountId &&
      nrqlQueries[0].query;


    if (!nrqlQueryPropsAvailable) {
      return <EmptyState />;
    }


    return (
      <AutoSizer>
        {({width, height}) => (
          <NrqlQuery
            query={nrqlQueries[0].query}
            accountId={parseInt(nrqlQueries[0].accountId)}
            pollInterval={NrqlQuery.AUTO_POLL_INTERVAL}
          >
            {({data, loading, error}) => {
              if (loading) {
                return <Spinner />;
              }


              if (error) {
                return <ErrorState />;
              }


              const transformedData = this.transformData(data);


              return (
                <React.Fragment>
                <SegmentedControl
                  onChange={(event, value) => console.log(value)}
                >
                  <SegmentedControlItem
                    value={CHART_TYPES.Radar}
                    label="Radar chart"
                  />
                  <SegmentedControlItem
                    value={CHART_TYPES.Treemap}
                    label="Treemap chart"
                  />
                </SegmentedControl>
                <RadarChart
                  width={width}
                  height={height}
                  data={transformedData}
                >
                  <PolarGrid />
                  <PolarAngleAxis dataKey="name" />
                  <PolarRadiusAxis tickFormatter={this.formatTick} />
                  <Radar
                    dataKey="value"
                    stroke={stroke || '#51C9B7'}
                    fill={fill || '#51C9B7'}
                    fillOpacity={0.6}
                  />
                </RadarChart>
                </React.Fragment>
              );
            }}
          </NrqlQuery>
        )}
      </AutoSizer>
    );
  }
}


const EmptyState = () => (
  <Card className="EmptyState">
    <CardBody className="EmptyState-cardBody">
      <HeadingText
        spacingType={[HeadingText.SPACING_TYPE.LARGE]}
        type={HeadingText.TYPE.HEADING_3}
      >
        Please provide at least one NRQL query & account ID pair
      </HeadingText>
      <HeadingText
        spacingType={[HeadingText.SPACING_TYPE.MEDIUM]}
        type={HeadingText.TYPE.HEADING_4}
      >
        An example NRQL query you can try is:
      </HeadingText>
      <code>FROM NrUsage SELECT sum(usage) FACET metric SINCE 1 week ago</code>
    </CardBody>
  </Card>
);


const ErrorState = () => (
  <Card className="ErrorState">
    <CardBody className="ErrorState-cardBody">
      <HeadingText
        className="ErrorState-headingText"
        spacingType={[HeadingText.SPACING_TYPE.LARGE]}
        type={HeadingText.TYPE.HEADING_3}
      >
        Oops! Something went wrong.
      </HeadingText>
    </CardBody>
  </Card>
);
visualizations/radar-or-treemap/index.js

Here, your SegmentedControl logs the SegmentedControlItem.value to the console when you change your selection. The values you've defined for your SegmentedControlItem components correspond to the two CHART_TYPES you created in a previous step.

Navigate to the root of your Nerdpack at alternate-viz.

Serve your Nerdpack locally:

bash
$
nr1 nerdpack:serve

Open the link to your visualization that's shown in the terminal when the Node server starts:

bash
Visualizations:
 ⁎  radar-or-treemap https://one.nr/012ab3cd4Ef

Configure your visualization with an account ID and a query.

With some required data for your chart to process, you now see a RadarChart with the SegmentedControl at the top of the view.

Look at your browser's console to see your SegmentedControl logs.

Connect your component's state to the SegmentedControl

Add a method to update state and connect that method with the SegmentedControl you added in the last section.

Add a component method, called updateSelectedChart():

import React from 'react';
import PropTypes from 'prop-types';
import {
  Radar,
  RadarChart,
  PolarGrid,
  PolarAngleAxis,
  PolarRadiusAxis,
} from 'recharts';
import {
    AutoSizer,
    Card,
    CardBody,
    HeadingText,
    NrqlQuery,
    SegmentedControl,
    SegmentedControlItem,
    Spinner,
} from 'nr1';


const CHART_TYPES = {
  'Radar': 'radar',
  'Treemap': 'treemap'
}


export default class RadarOrTreemapVisualization extends React.Component {
  // Custom props you wish to be configurable in the UI must also be defined in
  // the nr1.json file for the visualization. See docs for more details.
  static propTypes = {
    /**
     * A fill color to override the default fill color. This is an example of
     * a custom chart configuration.
     */
    fill: PropTypes.string,


    /**
     * A stroke color to override the default stroke color. This is an example of
     * a custom chart configuration.
     */
    stroke: PropTypes.string,
    /**
     * An array of objects consisting of a nrql `query` and `accountId`.
     * This should be a standard prop for any NRQL based visualizations.
     */
    nrqlQueries: PropTypes.arrayOf(
      PropTypes.shape({
        accountId: PropTypes.number,
        query: PropTypes.string,
      })
    ),
  };


  state = {
    selectedChart: CHART_TYPES.Radar,
  };


  /**
   * Restructure the data for a non-time-series, facet-based NRQL query into a
   * form accepted by the Recharts library's RadarChart.
   * (https://recharts.org/api/RadarChart).
   */
  transformData = (rawData) => {
    return rawData.map((entry) => ({
      name: entry.metadata.name,
      // Only grabbing the first data value because this is not time-series data.
      value: entry.data[0].y,
    }));
  };


  /**
   * Format the given axis tick's numeric value into a string for display.
   */
  formatTick = (value) => {
    return value.toLocaleString();
  };


  updateSelectedChart = (evt, value) => {
    this.setState({ selectedChart: value })
  };


  render() {
    const {nrqlQueries, stroke, fill} = this.props;


    const nrqlQueryPropsAvailable =
      nrqlQueries &&
      nrqlQueries[0] &&
      nrqlQueries[0].accountId &&
      nrqlQueries[0].query;


    if (!nrqlQueryPropsAvailable) {
      return <EmptyState />;
    }


    return (
      <AutoSizer>
        {({width, height}) => (
          <NrqlQuery
            query={nrqlQueries[0].query}
            accountId={parseInt(nrqlQueries[0].accountId)}
            pollInterval={NrqlQuery.AUTO_POLL_INTERVAL}
          >
            {({data, loading, error}) => {
              if (loading) {
                return <Spinner />;
              }


              if (error) {
                return <ErrorState />;
              }


              const transformedData = this.transformData(data);


              return (
                <React.Fragment>
                <SegmentedControl
                  onChange={(event, value) => console.log(value)}
                >
                  <SegmentedControlItem
                    value={CHART_TYPES.Radar}
                    label="Radar chart"
                  />
                  <SegmentedControlItem
                    value={CHART_TYPES.Treemap}
                    label="Treemap chart"
                  />
                </SegmentedControl>
                <RadarChart
                  width={width}
                  height={height}
                  data={transformedData}
                >
                  <PolarGrid />
                  <PolarAngleAxis dataKey="name" />
                  <PolarRadiusAxis tickFormatter={this.formatTick} />
                  <Radar
                    dataKey="value"
                    stroke={stroke || '#51C9B7'}
                    fill={fill || '#51C9B7'}
                    fillOpacity={0.6}
                  />
                </RadarChart>
                </React.Fragment>
              );
            }}
          </NrqlQuery>
        )}
      </AutoSizer>
    );
  }
}


const EmptyState = () => (
  <Card className="EmptyState">
    <CardBody className="EmptyState-cardBody">
      <HeadingText
        spacingType={[HeadingText.SPACING_TYPE.LARGE]}
        type={HeadingText.TYPE.HEADING_3}
      >
        Please provide at least one NRQL query & account ID pair
      </HeadingText>
      <HeadingText
        spacingType={[HeadingText.SPACING_TYPE.MEDIUM]}
        type={HeadingText.TYPE.HEADING_4}
      >
        An example NRQL query you can try is:
      </HeadingText>
      <code>FROM NrUsage SELECT sum(usage) FACET metric SINCE 1 week ago</code>
    </CardBody>
  </Card>
);


const ErrorState = () => (
  <Card className="ErrorState">
    <CardBody className="ErrorState-cardBody">
      <HeadingText
        className="ErrorState-headingText"
        spacingType={[HeadingText.SPACING_TYPE.LARGE]}
        type={HeadingText.TYPE.HEADING_3}
      >
        Oops! Something went wrong.
      </HeadingText>
    </CardBody>
  </Card>
);
visualizations/radar-or-treemap/index.js

This new method takes a value argument and sets state.selectedChart to that value.

Set SegmentedControl.onChange to updateSelectedChart():

import React from 'react';
import PropTypes from 'prop-types';
import {
  Radar,
  RadarChart,
  PolarGrid,
  PolarAngleAxis,
  PolarRadiusAxis,
} from 'recharts';
import {
    AutoSizer,
    Card,
    CardBody,
    HeadingText,
    NrqlQuery,
    SegmentedControl,
    SegmentedControlItem,
    Spinner,
} from 'nr1';


const CHART_TYPES = {
  'Radar': 'radar',
  'Treemap': 'treemap'
}


export default class RadarOrTreemapVisualization extends React.Component {
  // Custom props you wish to be configurable in the UI must also be defined in
  // the nr1.json file for the visualization. See docs for more details.
  static propTypes = {
    /**
     * A fill color to override the default fill color. This is an example of
     * a custom chart configuration.
     */
    fill: PropTypes.string,


    /**
     * A stroke color to override the default stroke color. This is an example of
     * a custom chart configuration.
     */
    stroke: PropTypes.string,
    /**
     * An array of objects consisting of a nrql `query` and `accountId`.
     * This should be a standard prop for any NRQL based visualizations.
     */
    nrqlQueries: PropTypes.arrayOf(
      PropTypes.shape({
        accountId: PropTypes.number,
        query: PropTypes.string,
      })
    ),
  };


  state = {
    selectedChart: CHART_TYPES.Radar,
  };


  /**
   * Restructure the data for a non-time-series, facet-based NRQL query into a
   * form accepted by the Recharts library's RadarChart.
   * (https://recharts.org/api/RadarChart).
   */
  transformData = (rawData) => {
    return rawData.map((entry) => ({
      name: entry.metadata.name,
      // Only grabbing the first data value because this is not time-series data.
      value: entry.data[0].y,
    }));
  };


  /**
   * Format the given axis tick's numeric value into a string for display.
   */
  formatTick = (value) => {
    return value.toLocaleString();
  };


  updateSelectedChart = (evt, value) => {
    this.setState({ selectedChart: value })
  };


  render() {
    const {nrqlQueries, stroke, fill} = this.props;


    const nrqlQueryPropsAvailable =
      nrqlQueries &&
      nrqlQueries[0] &&
      nrqlQueries[0].accountId &&
      nrqlQueries[0].query;


    if (!nrqlQueryPropsAvailable) {
      return <EmptyState />;
    }


    return (
      <AutoSizer>
        {({width, height}) => (
          <NrqlQuery
            query={nrqlQueries[0].query}
            accountId={parseInt(nrqlQueries[0].accountId)}
            pollInterval={NrqlQuery.AUTO_POLL_INTERVAL}
          >
            {({data, loading, error}) => {
              if (loading) {
                return <Spinner />;
              }


              if (error) {
                return <ErrorState />;
              }


              const transformedData = this.transformData(data);


              return (
                <React.Fragment>
                <SegmentedControl
                  onChange={this.updateSelectedChart}
                >
                  <SegmentedControlItem
                    value={CHART_TYPES.Radar}
                    label="Radar chart"
                  />
                  <SegmentedControlItem
                    value={CHART_TYPES.Treemap}
                    label="Treemap chart"
                  />
                </SegmentedControl>
                <RadarChart
                  width={width}
                  height={height}
                  data={transformedData}
                >
                  <PolarGrid />
                  <PolarAngleAxis dataKey="name" />
                  <PolarRadiusAxis tickFormatter={this.formatTick} />
                  <Radar
                    dataKey="value"
                    stroke={stroke || '#51C9B7'}
                    fill={fill || '#51C9B7'}
                    fillOpacity={0.6}
                  />
                </RadarChart>
                </React.Fragment>
              );
            }}
          </NrqlQuery>
        )}
      </AutoSizer>
    );
  }
}


const EmptyState = () => (
  <Card className="EmptyState">
    <CardBody className="EmptyState-cardBody">
      <HeadingText
        spacingType={[HeadingText.SPACING_TYPE.LARGE]}
        type={HeadingText.TYPE.HEADING_3}
      >
        Please provide at least one NRQL query & account ID pair
      </HeadingText>
      <HeadingText
        spacingType={[HeadingText.SPACING_TYPE.MEDIUM]}
        type={HeadingText.TYPE.HEADING_4}
      >
        An example NRQL query you can try is:
      </HeadingText>
      <code>FROM NrUsage SELECT sum(usage) FACET metric SINCE 1 week ago</code>
    </CardBody>
  </Card>
);


const ErrorState = () => (
  <Card className="ErrorState">
    <CardBody className="ErrorState-cardBody">
      <HeadingText
        className="ErrorState-headingText"
        spacingType={[HeadingText.SPACING_TYPE.LARGE]}
        type={HeadingText.TYPE.HEADING_3}
      >
        Oops! Something went wrong.
      </HeadingText>
    </CardBody>
  </Card>
);
visualizations/radar-or-treemap/index.js

Now, when you change your selection in the SegmentedControl, your selection will be set in state.

Implement a Treemap option

Add a Treemap to your visualization. This map will be an alternative to the existing RadarChart.

Technical detail

This guide uses Recharts components for third-party charts, but you can use any other JavaScript charting libraries that are compatible with the current React version when you build New Relic visualizations and apps.

Import Treemap from recharts:

import React from 'react';
import PropTypes from 'prop-types';
import {
  Radar,
  RadarChart,
  PolarGrid,
  PolarAngleAxis,
  PolarRadiusAxis,
  Treemap,
} from 'recharts';
import {
    AutoSizer,
    Card,
    CardBody,
    HeadingText,
    NrqlQuery,
    SegmentedControl,
    SegmentedControlItem,
    Spinner,
} from 'nr1';


const CHART_TYPES = {
  'Radar': 'radar',
  'Treemap': 'treemap'
}


export default class RadarOrTreemapVisualization extends React.Component {
  // Custom props you wish to be configurable in the UI must also be defined in
  // the nr1.json file for the visualization. See docs for more details.
  static propTypes = {
    /**
     * A fill color to override the default fill color. This is an example of
     * a custom chart configuration.
     */
    fill: PropTypes.string,


    /**
     * A stroke color to override the default stroke color. This is an example of
     * a custom chart configuration.
     */
    stroke: PropTypes.string,
    /**
     * An array of objects consisting of a nrql `query` and `accountId`.
     * This should be a standard prop for any NRQL based visualizations.
     */
    nrqlQueries: PropTypes.arrayOf(
      PropTypes.shape({
        accountId: PropTypes.number,
        query: PropTypes.string,
      })
    ),
  };


  state = {
    selectedChart: CHART_TYPES.Radar,
  };


  /**
   * Restructure the data for a non-time-series, facet-based NRQL query into a
   * form accepted by the Recharts library's RadarChart.
   * (https://recharts.org/api/RadarChart).
   */
  transformData = (rawData) => {
    return rawData.map((entry) => ({
      name: entry.metadata.name,
      // Only grabbing the first data value because this is not time-series data.
      value: entry.data[0].y,
    }));
  };


  /**
   * Format the given axis tick's numeric value into a string for display.
   */
  formatTick = (value) => {
    return value.toLocaleString();
  };


  updateSelectedChart = (evt, value) => {
    this.setState({ selectedChart: value })
  };


  render() {
    const {nrqlQueries, stroke, fill} = this.props;


    const nrqlQueryPropsAvailable =
      nrqlQueries &&
      nrqlQueries[0] &&
      nrqlQueries[0].accountId &&
      nrqlQueries[0].query;


    if (!nrqlQueryPropsAvailable) {
      return <EmptyState />;
    }


    return (
      <AutoSizer>
        {({width, height}) => (
          <NrqlQuery
            query={nrqlQueries[0].query}
            accountId={parseInt(nrqlQueries[0].accountId)}
            pollInterval={NrqlQuery.AUTO_POLL_INTERVAL}
          >
            {({data, loading, error}) => {
              if (loading) {
                return <Spinner />;
              }


              if (error) {
                return <ErrorState />;
              }


              const transformedData = this.transformData(data);


              return (
                <React.Fragment>
                <SegmentedControl
                  onChange={this.updateSelectedChart}
                >
                  <SegmentedControlItem
                    value={CHART_TYPES.Radar}
                    label="Radar chart"
                  />
                  <SegmentedControlItem
                    value={CHART_TYPES.Treemap}
                    label="Treemap chart"
                  />
                </SegmentedControl>
                <RadarChart
                  width={width}
                  height={height}
                  data={transformedData}
                >
                  <PolarGrid />
                  <PolarAngleAxis dataKey="name" />
                  <PolarRadiusAxis tickFormatter={this.formatTick} />
                  <Radar
                    dataKey="value"
                    stroke={stroke || '#51C9B7'}
                    fill={fill || '#51C9B7'}
                    fillOpacity={0.6}
                  />
                </RadarChart>
                </React.Fragment>
              );
            }}
          </NrqlQuery>
        )}
      </AutoSizer>
    );
  }
}


const EmptyState = () => (
  <Card className="EmptyState">
    <CardBody className="EmptyState-cardBody">
      <HeadingText
        spacingType={[HeadingText.SPACING_TYPE.LARGE]}
        type={HeadingText.TYPE.HEADING_3}
      >
        Please provide at least one NRQL query & account ID pair
      </HeadingText>
      <HeadingText
        spacingType={[HeadingText.SPACING_TYPE.MEDIUM]}
        type={HeadingText.TYPE.HEADING_4}
      >
        An example NRQL query you can try is:
      </HeadingText>
      <code>FROM NrUsage SELECT sum(usage) FACET metric SINCE 1 week ago</code>
    </CardBody>
  </Card>
);


const ErrorState = () => (
  <Card className="ErrorState">
    <CardBody className="ErrorState-cardBody">
      <HeadingText
        className="ErrorState-headingText"
        spacingType={[HeadingText.SPACING_TYPE.LARGE]}
        type={HeadingText.TYPE.HEADING_3}
      >
        Oops! Something went wrong.
      </HeadingText>
    </CardBody>
  </Card>
);
visualizations/radar-or-treemap/index.js

Now, you can use Treemap in your visualization component.

In render(), add a Treemap component:

import React from 'react';
import PropTypes from 'prop-types';
import {
  Radar,
  RadarChart,
  PolarGrid,
  PolarAngleAxis,
  PolarRadiusAxis,
  Treemap,
} from 'recharts';
import {
    AutoSizer,
    Card,
    CardBody,
    HeadingText,
    NrqlQuery,
    SegmentedControl,
    SegmentedControlItem,
    Spinner,
} from 'nr1';


const CHART_TYPES = {
  'Radar': 'radar',
  'Treemap': 'treemap'
}


export default class RadarOrTreemapVisualization extends React.Component {
  // Custom props you wish to be configurable in the UI must also be defined in
  // the nr1.json file for the visualization. See docs for more details.
  static propTypes = {
    /**
     * A fill color to override the default fill color. This is an example of
     * a custom chart configuration.
     */
    fill: PropTypes.string,


    /**
     * A stroke color to override the default stroke color. This is an example of
     * a custom chart configuration.
     */
    stroke: PropTypes.string,
    /**
     * An array of objects consisting of a nrql `query` and `accountId`.
     * This should be a standard prop for any NRQL based visualizations.
     */
    nrqlQueries: PropTypes.arrayOf(
      PropTypes.shape({
        accountId: PropTypes.number,
        query: PropTypes.string,
      })
    ),
  };


  state = {
    selectedChart: CHART_TYPES.Radar,
  };


  /**
   * Restructure the data for a non-time-series, facet-based NRQL query into a
   * form accepted by the Recharts library's RadarChart.
   * (https://recharts.org/api/RadarChart).
   */
  transformData = (rawData) => {
    return rawData.map((entry) => ({
      name: entry.metadata.name,
      // Only grabbing the first data value because this is not time-series data.
      value: entry.data[0].y,
    }));
  };


  /**
   * Format the given axis tick's numeric value into a string for display.
   */
  formatTick = (value) => {
    return value.toLocaleString();
  };


  updateSelectedChart = (evt, value) => {
    this.setState({ selectedChart: value })
  };


  render() {
    const {nrqlQueries, stroke, fill} = this.props;


    const nrqlQueryPropsAvailable =
      nrqlQueries &&
      nrqlQueries[0] &&
      nrqlQueries[0].accountId &&
      nrqlQueries[0].query;


    if (!nrqlQueryPropsAvailable) {
      return <EmptyState />;
    }


    return (
      <AutoSizer>
        {({width, height}) => (
          <NrqlQuery
            query={nrqlQueries[0].query}
            accountId={parseInt(nrqlQueries[0].accountId)}
            pollInterval={NrqlQuery.AUTO_POLL_INTERVAL}
          >
            {({data, loading, error}) => {
              if (loading) {
                return <Spinner />;
              }


              if (error) {
                return <ErrorState />;
              }


              const transformedData = this.transformData(data);


              return (
                <React.Fragment>
                <SegmentedControl
                  onChange={this.updateSelectedChart}
                >
                  <SegmentedControlItem
                    value={CHART_TYPES.Radar}
                    label="Radar chart"
                  />
                  <SegmentedControlItem
                    value={CHART_TYPES.Treemap}
                    label="Treemap chart"
                  />
                </SegmentedControl>
                <RadarChart
                  width={width}
                  height={height}
                  data={transformedData}
                >
                  <PolarGrid />
                  <PolarAngleAxis dataKey="name" />
                  <PolarRadiusAxis tickFormatter={this.formatTick} />
                  <Radar
                    dataKey="value"
                    stroke={stroke || '#51C9B7'}
                    fill={fill || '#51C9B7'}
                    fillOpacity={0.6}
                  />
                </RadarChart>
                <Treemap
                  width={width}
                  height={height}
                  data={transformedData}
                  dataKey="value"
                  ratio={4 / 3}
                  stroke={stroke || '#000000'}
                  fill={fill || '#51C9B7'}
                />
                </React.Fragment>
              );
            }}
          </NrqlQuery>
        )}
      </AutoSizer>
    );
  }
}


const EmptyState = () => (
  <Card className="EmptyState">
    <CardBody className="EmptyState-cardBody">
      <HeadingText
        spacingType={[HeadingText.SPACING_TYPE.LARGE]}
        type={HeadingText.TYPE.HEADING_3}
      >
        Please provide at least one NRQL query & account ID pair
      </HeadingText>
      <HeadingText
        spacingType={[HeadingText.SPACING_TYPE.MEDIUM]}
        type={HeadingText.TYPE.HEADING_4}
      >
        An example NRQL query you can try is:
      </HeadingText>
      <code>FROM NrUsage SELECT sum(usage) FACET metric SINCE 1 week ago</code>
    </CardBody>
  </Card>
);


const ErrorState = () => (
  <Card className="ErrorState">
    <CardBody className="ErrorState-cardBody">
      <HeadingText
        className="ErrorState-headingText"
        spacingType={[HeadingText.SPACING_TYPE.LARGE]}
        type={HeadingText.TYPE.HEADING_3}
      >
        Oops! Something went wrong.
      </HeadingText>
    </CardBody>
  </Card>
);
visualizations/radar-or-treemap/index.js

Here, you've defined a new Treemap component with some props, including height, width, fill, and stroke.

With your Nerdpack served locally, view your visualization. The SegmentedControl and RadarChart are at the top of the view, but if you scroll down, you'll see your new Treemap.

Switch between charts with your component's state

Use state.selectedChart to determine which chart to show: the RadarChart or the Treemap.

Destructure this.state to access selectedChart as a separate constant. Then, compare selectedChart to CHART_TYPES.Radar. If they are the same, render a RadarChart. Otherwise, render a Treemap:

import React from 'react';
import PropTypes from 'prop-types';
import {
  Radar,
  RadarChart,
  PolarGrid,
  PolarAngleAxis,
  PolarRadiusAxis,
  Treemap,
} from 'recharts';
import {
    AutoSizer,
    Card,
    CardBody,
    HeadingText,
    NrqlQuery,
    SegmentedControl,
    SegmentedControlItem,
    Spinner,
} from 'nr1';


const CHART_TYPES = {
  'Radar': 'radar',
  'Treemap': 'treemap'
}


export default class RadarOrTreemapVisualization extends React.Component {
  // Custom props you wish to be configurable in the UI must also be defined in
  // the nr1.json file for the visualization. See docs for more details.
  static propTypes = {
    /**
     * A fill color to override the default fill color. This is an example of
     * a custom chart configuration.
     */
    fill: PropTypes.string,


    /**
     * A stroke color to override the default stroke color. This is an example of
     * a custom chart configuration.
     */
    stroke: PropTypes.string,
    /**
     * An array of objects consisting of a nrql `query` and `accountId`.
     * This should be a standard prop for any NRQL based visualizations.
     */
    nrqlQueries: PropTypes.arrayOf(
      PropTypes.shape({
        accountId: PropTypes.number,
        query: PropTypes.string,
      })
    ),
  };


  state = {
    selectedChart: CHART_TYPES.Radar,
  };


  /**
   * Restructure the data for a non-time-series, facet-based NRQL query into a
   * form accepted by the Recharts library's RadarChart.
   * (https://recharts.org/api/RadarChart).
   */
  transformData = (rawData) => {
    return rawData.map((entry) => ({
      name: entry.metadata.name,
      // Only grabbing the first data value because this is not time-series data.
      value: entry.data[0].y,
    }));
  };


  /**
   * Format the given axis tick's numeric value into a string for display.
   */
  formatTick = (value) => {
    return value.toLocaleString();
  };


  updateSelectedChart = (evt, value) => {
    this.setState({ selectedChart: value })
  };


  render() {
    const {nrqlQueries, stroke, fill} = this.props;
    const {selectedChart} = this.state;


    const nrqlQueryPropsAvailable =
      nrqlQueries &&
      nrqlQueries[0] &&
      nrqlQueries[0].accountId &&
      nrqlQueries[0].query;


    if (!nrqlQueryPropsAvailable) {
      return <EmptyState />;
    }


    return (
      <AutoSizer>
        {({width, height}) => (
          <NrqlQuery
            query={nrqlQueries[0].query}
            accountId={parseInt(nrqlQueries[0].accountId)}
            pollInterval={NrqlQuery.AUTO_POLL_INTERVAL}
          >
            {({data, loading, error}) => {
              if (loading) {
                return <Spinner />;
              }


              if (error) {
                return <ErrorState />;
              }


              const transformedData = this.transformData(data);


              return (
                <React.Fragment>
                <SegmentedControl
                  onChange={this.updateSelectedChart}
                >
                  <SegmentedControlItem
                    value={CHART_TYPES.Radar}
                    label="Radar chart"
                  />
                  <SegmentedControlItem
                    value={CHART_TYPES.Treemap}
                    label="Treemap chart"
                  />
                </SegmentedControl>
                {selectedChart === CHART_TYPES.Radar ? (
                <RadarChart
                  width={width}
                  height={height}
                  data={transformedData}
                >
                  <PolarGrid />
                  <PolarAngleAxis dataKey="name" />
                  <PolarRadiusAxis tickFormatter={this.formatTick} />
                  <Radar
                    dataKey="value"
                    stroke={stroke || '#51C9B7'}
                    fill={fill || '#51C9B7'}
                    fillOpacity={0.6}
                  />
                </RadarChart>
                ) : (
                <Treemap
                  width={width}
                  height={height}
                  data={transformedData}
                  dataKey="value"
                  ratio={4 / 3}
                  stroke={stroke || '#000000'}
                  fill={fill || '#51C9B7'}
                />
                )}
                </React.Fragment>
              );
            }}
          </NrqlQuery>
        )}
      </AutoSizer>
    );
  }
}


const EmptyState = () => (
  <Card className="EmptyState">
    <CardBody className="EmptyState-cardBody">
      <HeadingText
        spacingType={[HeadingText.SPACING_TYPE.LARGE]}
        type={HeadingText.TYPE.HEADING_3}
      >
        Please provide at least one NRQL query & account ID pair
      </HeadingText>
      <HeadingText
        spacingType={[HeadingText.SPACING_TYPE.MEDIUM]}
        type={HeadingText.TYPE.HEADING_4}
      >
        An example NRQL query you can try is:
      </HeadingText>
      <code>FROM NrUsage SELECT sum(usage) FACET metric SINCE 1 week ago</code>
    </CardBody>
  </Card>
);


const ErrorState = () => (
  <Card className="ErrorState">
    <CardBody className="ErrorState-cardBody">
      <HeadingText
        className="ErrorState-headingText"
        spacingType={[HeadingText.SPACING_TYPE.LARGE]}
        type={HeadingText.TYPE.HEADING_3}
      >
        Oops! Something went wrong.
      </HeadingText>
    </CardBody>
  </Card>
);
visualizations/radar-or-treemap/index.js

Here, you used a ternary expression to render a RadarChart or a Treemap. The rendered chart is determined by the value of selectedChart.

With your Nerdpack served locally, view your visualization.

Select Radar chart from the SegmentedControl.

Select Treemap chart from the SegmentedControl.

Summary

Congratulations! In this lesson, you learned how to:

  • Customize your visualization using New Relic One SDK components
  • Add a new chart type to your visualization
  • Create a user interaction in your visualization

Tip

This lesson is part of a course that teaches you how to build a custom visualization on the New Relic platform. When you're ready, continue on to the next lesson: Customize visualizations with configuration.

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