doc: add bundler example.

Author: 100pah

Diff for: README.md

@@ -1,6 +1,6 @@
 # ecStat
 
-A statistical and data mining tool for [Apache ECharts (incubating)](https://github.com/apache/incubator-echarts). You can use it to analyze data and then visualize the results with ECharts, or just use it to process data.
+A statistical and data mining tool for [Apache ECharts](https://github.com/apache/echarts). You can use it to analyze data and then visualize the results with ECharts, or just use it to process data.
 
 It works both in node.js and in the browser.
 
@@ -25,6 +25,52 @@ var result = ecStat.clustering.hierarchicalKMeans(data, clusterNumber, false);
 </script>
 ```
 
+If using bundler (like webpack, rollup, etc.), for example:
+```sh
+npm install echarts-stat
+npm install echarts
+```
+```js
+import * as echarts from 'echarts';
+import {transform} from 'echarts-stat';
+
+echarts.registerTransform(transform.histogram);
+
+var myChart = echarts.init(document.getElementById('main0'));
+
+var option = {
+    dataset: [{
+        source: [
+            [8.3, 143], [8.6, 214], [8.8, 251], [10.5, 26], [10.7, 86], [10.8, 93], [11.0, 176], [11.0, 39], [11.1, 221], [11.2, 188], [11.3, 57], [11.4, 91], [11.4, 191], [11.7, 8], [12.0, 196], [12.9, 177], [12.9, 153], [13.3, 201], [13.7, 199], [13.8, 47], [14.0, 81], [14.2, 98], [14.5, 121], [16.0, 37], [16.3, 12], [17.3, 105], [17.5, 168], [17.9, 84], [18.0, 197], [18.0, 155], [20.6, 125]
+        ]
+    }, {
+        transform: {
+            type: 'ecStat:histogram'
+        }
+    }],
+    tooltip: {
+    },
+    xAxis: {
+        type: 'category',
+        scale: true
+    },
+    yAxis: {},
+    series: {
+        name: 'histogram',
+        type: 'bar',
+        barWidth: '99.3%',
+        label: {
+            show: true,
+            position: 'top'
+        },
+        datasetIndex: 1
+    }
+};
+
+myChart.setOption(option);
+```
+
+
 ## API Reference
 
 * [Histogram](#histogram)

Diff for: README.zh-CN.md

@@ -1,6 +1,6 @@
 # ecStat
 
-ecStat 是 [Apache ECharts (incubating)](https://github.com/apache/incubator-echarts) 的统计和数据挖掘工具。你可以把它当作一个工具库直接用来分析数据；你也可以将其与 ECharts 结合使用，用 ECharts 可视化数据分析的结果。
+ecStat 是 [Apache ECharts](https://github.com/apache/echarts) 的统计和数据挖掘工具。你可以把它当作一个工具库直接用来分析数据；你也可以将其与 ECharts 结合使用，用 ECharts 可视化数据分析的结果。
 
 同时支持 Node 和浏览器中使用。
 
@@ -25,6 +25,55 @@ var result = ecStat.clustering.hierarchicalKMeans(data, clusterNumber, false);
 </script>
 ```
 
+
+如果使用打包工具（如 webpack、rollup 等），可参照下例：
+```sh
+npm install echarts-stat
+npm install echarts
+```
+```js
+import * as echarts from 'echarts';
+import {transform} from 'echarts-stat';
+
+echarts.registerTransform(transform.histogram);
+
+var myChart = echarts.init(document.getElementById('main0'));
+
+var option = {
+    dataset: [{
+        source: [
+            [8.3, 143], [8.6, 214], [8.8, 251], [10.5, 26], [10.7, 86], [10.8, 93], [11.0, 176], [11.0, 39], [11.1, 221], [11.2, 188], [11.3, 57], [11.4, 91], [11.4, 191], [11.7, 8], [12.0, 196], [12.9, 177], [12.9, 153], [13.3, 201], [13.7, 199], [13.8, 47], [14.0, 81], [14.2, 98], [14.5, 121], [16.0, 37], [16.3, 12], [17.3, 105], [17.5, 168], [17.9, 84], [18.0, 197], [18.0, 155], [20.6, 125]
+        ]
+    }, {
+        transform: {
+            type: 'ecStat:histogram'
+        }
+    }],
+    tooltip: {
+    },
+    xAxis: {
+        type: 'category',
+        scale: true
+    },
+    yAxis: {},
+    series: {
+        name: 'histogram',
+        type: 'bar',
+        barWidth: '99.3%',
+        label: {
+            show: true,
+            position: 'top'
+        },
+        datasetIndex: 1
+    }
+};
+
+myChart.setOption(option);
+```
+
+
+
+
 ## API
 
 * [直方图](#histogram)