diff --git a/examples/plugin/multi-view/demo/anomaly-detection-line-chart.ts b/examples/plugin/multi-view/demo/anomaly-detection-line-chart.ts
new file mode 100644
index 0000000000..575b31ca42
--- /dev/null
+++ b/examples/plugin/multi-view/demo/anomaly-detection-line-chart.ts
@@ -0,0 +1,91 @@
+import { Mix } from '@antv/g2plot';
+
+fetch('https://gw.alipayobjects.com/os/antfincdn/SEif%2696Vd2/line-chart-with-anomaly-detection-style-data.json')
+  .then((data) => data.json())
+  .then((data) => {
+    const { lineData, areaData } = data;
+    const anomalyDetectionLineChart = new Mix('container', {
+      appendPadding: 8,
+      syncViewPadding: true,
+      tooltip: {
+        shared: true,
+        showMarkers: false,
+        showCrosshairs: true,
+        offsetY: -50,
+      },
+      legend: {
+        position: 'top-left',
+        marker: (name, index, item) => {
+          return {
+            symbol: item.value === 'anomaly' ? 'circle' : 'hyphen',
+            style: (oldStyle) => {
+              return {
+                ...oldStyle,
+                r: item.value === 'anomaly' ? 2 : 6,
+                fill: oldStyle.stroke,
+              };
+            },
+          };
+        },
+      },
+      plots: [
+        {
+          type: 'line',
+          options: {
+            data: lineData,
+            xField: 'time',
+            yField: 'value',
+            seriesField: 'type',
+            color: ['#588af1', '#ffa45c', '#f4664a'],
+            yAxis: {
+              label: {
+                formatter: (v) => `${v}`.replace(/\d{1,3}(?=(\d{3})+$)/g, (s) => `${s},`),
+              },
+            },
+            meta: {
+              value: {
+                sync: true,
+              },
+              type: {
+                formatter: (v) => {
+                  const mapping = {
+                    actual: '实际值',
+                    base: '基准值',
+                    anomaly: '异常值',
+                  };
+                  return mapping[v];
+                },
+              },
+            },
+            lineStyle: ({ type }) => (type === 'anomaly' ? { opacity: 0 } : { opacity: 1 }),
+            point: {
+              shape: 'circle',
+              style: ({ type }) => ({ r: type === 'anomaly' ? 3 : 0 }),
+            },
+          },
+        },
+        {
+          type: 'area',
+          options: {
+            data: areaData,
+            xField: 'time',
+            yField: 'interval',
+            color: '#ffd8b8',
+            isStack: false,
+            meta: {
+              interval: {
+                sync: 'value',
+                nice: true,
+                alias: '波动区间',
+              },
+            },
+            legend: false,
+            xAxis: false,
+            yAxis: false,
+          },
+        },
+      ],
+    });
+
+    anomalyDetectionLineChart.render();
+  });
diff --git a/examples/plugin/multi-view/demo/meta.json b/examples/plugin/multi-view/demo/meta.json
index 4a69c0a11e..cdc49bf21c 100644
--- a/examples/plugin/multi-view/demo/meta.json
+++ b/examples/plugin/multi-view/demo/meta.json
@@ -67,6 +67,14 @@
         "en": "Sales analyze of company"
       },
       "screenshot": "https://gw.alipayobjects.com/zos/antfincdn/KFq%26pzL%26WG/7b5f5942-e463-44e6-8aca-d1417a39075a.png"
+    },
+    {
+      "filename": "anomaly-detection-line-chart.ts",
+      "title": {
+        "zh": "异常检测折线图",
+        "en": "Line Chart with Anomaly Detection Style"
+      },
+      "screenshot": "https://gw.alipayobjects.com/zos/antfincdn/9MkGXoBNaH/20220310212354.jpg"
     }
   ]
 }