🤔 [QUESTION] 双轴图-柱线混合图表 数据点绘制时趋势错误

### 折线图与 柱状图 x轴的type数据不对应时，折线图绘制趋势混乱，是否有属性可以解决这个问题呢？还是需要用户传递数据的时候，x轴的type数据必须要一一对应呢？

### 图表链接：https://antv-g2plot.gitee.io/zh/examples/dual-axes/column-line#column-multi-line
代码部分只修改了transformData
const transformData = [
{ time: '2019-06', count: 380, name: 'a' },
{ time: '2019-04', count: 600, name: 'a' },
{ time: '2019-05', count: 400, name: 'a' },
{ time: '2019-07', count: 220, name: 'a' },
{ time: '2019-03', count: 800, name: 'a' },
// { time: '2019-03', count: 750, name: 'b' },
// { time: '2019-04', count: 650, name: 'b' },
// { time: '2019-05', count: 450, name: 'b' },
// { time: '2019-06', count: 400, name: 'b' },
// { time: '2019-07', count: 320, name: 'b' },
// { time: '2019-03', count: 900, name: 'c' },
// { time: '2019-04', count: 600, name: 'c' },
// { time: '2019-05', count: 450, name: 'c' },
// { time: '2019-06', count: 300, name: 'c' },
// { time: '2019-07', count: 200, name: 'c' },
];

### 🚑 Any additional [like screenshots]
220 是最高的 800 反而是最低的

Begin at the linked dual-axes column-line example and reproduce the result with the shown transformData order. Trace how the chart handles x-axis values across the column and line series; done means the expected chronological trend is verified and the required behavior or input expectation is clearly established.

Written by the indexing model from the issue text.