Configuration Item | Description |
Basic Info | Chart Name: Set the display name of the chart, which can be left empty. |
Legend | Set the chart legends. You can control the legend styles and positions and configure the data to be displayed as legends. |
Standard Configuration | |
Interaction event | Custom interaction event feature. Clicking chart elements can trigger interactions such as opening the search and analysis page, navigating to a dashboard, or accessing a third-party URL. For details, see Interaction Events. |
Configuration Item | Description |
Dimension Fields | Classification field. By default, fields with the string data type are selected. If no string field exists, you must manually specify a field. |
Metric Fields | Numerical field. By default, fields with the number data type are selected. If no number field exists, you must manually specify a field. |
Configuration Item | Description |
Chart Style | Sort By: Control the sorting order of values in the funnel chart. By default, the values are displayed in the order of the query results. Displayed Content: Set the label display form of each stage in the funnel chart, which can be Value or Conversion rate. Tag: Configure the display content of the funnel chart tags. Tag location: Configure the position of tags in the chart. Conversion rate: Set the calculation method of the conversion rate, which can be Percentage of the first stage or Percentage of the previous stage. Metric Aggregation: This is an advanced configuration. It aggregates the results of identical metrics before plotting. For example, if a range of values containing results from multiple time points is returned for a metric, the system aggregates the values from all those time points before plotting. By default, no aggregation is performed. You can set a limit on the maximum number of metrics to be displayed. Any metrics beyond this limit are hidden. Maximum Number of Display Layers in a Funnel Chart: Set the number of rendered stages in the funnel chart, which can be up to 20. |
* | select url, count(*) as pv group by url limit 5

event:(Advertising OR EnterTheMall OR BrowserTheList OR Order OR Payment) |select count(distinct ip) as "user_count", CASEWHEN event = 'Advertising' THEN 'Go to the activity page'WHEN event = 'EnterTheMall' THEN 'Open the mall'WHEN event = 'BrowserTheList' THEN 'View product details'WHEN event = 'Order' THEN 'Confirm order'WHEN event = 'Payment' THEN 'Confirm payment'ELSE 'other' END as event group by event limit 1000

* | selectcount(distinct (CASE WHEN count < 1 THEN ip END)) as "Day 1 Retention Rate",count(distinct (CASE WHEN count = 1 THEN ip END)) as "Day 2 Retention Rate",count(distinct (CASE WHEN count = 2 THEN ip END)) as "Day 3 Retention Rate",count(distinct (CASE WHEN count = 3 THEN ip END)) as "Day 4 Retention Rate",count(distinct (CASE WHEN count = 4 THEN ip END)) as "Day 5 Retention Rate",count(distinct (CASE WHEN count = 5 THEN ip END)) as "Day 6 Retention Rate",count(distinct (CASE WHEN count = -1 THEN ip END)) as "Day 7 Retention Rate"from(select t1-t0 as count,table1.ip from( select extract( day_of_year from cast(__TIMESTAMP__ as timestamp)) as t0 ,ip where event='SignUp' group by t0 ,ip limit 10000 )as table1left join( select extract( day_of_year from cast(__TIMESTAMP__ as timestamp)) as t1 ,ip where event='EnterTheMall' group by t1 ,ip limit 10000 )as table2on table1.ip = table2.ip)

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