Power BI 支持的见解类型Types of insights supported by Power BI

见解的工作原理How does Insights work?

Power BI 可快速搜索数据集的不同子集,同时应用一组复杂的算法来发现潜在相关的见解。Power BI quickly searches different subsets of your dataset while applying a set of sophisticated algorithms to discover potentially-interesting insights. Power BI 会在预定时间内扫描数据集中尽可能多的内容。Power BI scans as much of a dataset as possible in an allotted amount of time.

可以针对数据集或仪表板磁贴运行见解。You can run insights against a dataset or dashboard tile.

我们可以发现哪些类型的见解?What types of insights can we find?

以下是我们所使用的一些算法:These are some of the algorithms we use:

类别离群值(上/下)Category outliers (top/bottom)

针对模型中的度量值,突出显示维度的一或两个成员值远大于维度的其他成员值的情况。Highlights cases where, for a measure in the model, one or two members of a dimension have much larger values than other members of the dimension.

更改时序中的点Change points in a time series

突出显示数据时序中的趋势明显变化的情况。Highlights when there are significant changes in trends in a time series of data.

关联Correlation

检测当根据数据集中的某个维度绘制多个度量值时,多个度量值彼此之间显示关联的情况。Detects cases where multiple measures show a correlation between each other when plotted against a dimension in the dataset.

低方差Low Variance

检测数据点不偏离平均值的情况。Detects cases where data points are not far from the mean.

多数(主要因素)Majority (Major factors)

查找当总值由另一个维度分解时,其多数可能归因于单一因素的情况。Finds cases where a majority of a total value can be attributed to a single factor when broken down by another dimension.

检测时序数据中的向上或向下趋势。Detects upward or downward trends in time series data.

时序中的季节性Seasonality in time series

查找时序数据中的周期模式,例如每周、每月或每年的季节性。Finds periodic patterns in time series data, such as weekly, monthly, or yearly seasonality.

稳定份额Steady share

突出显示子值的份额相对于跨连续变量的整体父值有父子关联的情况。Highlights cases where there is a parent-child correlation between the share of a child value in relation to the overall value of the parent across a continuous variable.

时序离群值Time series outliers

针对跨时序的数据,检测特定日期或时间值明显不同于其他日期/时间值的情况。For data across a time series, detects when there are specific dates or times with values significantly different than the other date/time values.

后续步骤Next steps

Power BI 见解Power BI insights

如果你拥有一个数据集,可对其进行优化以生成见解If you own a dataset, optimize it for insights

更多问题?More questions? 尝试参与 Power BI 社区Try the Power BI Community