我试图以固定日期正确地确定分布标准偏差。
IF((/*first condition */
/*count distribution */ stdev(TOTAL <variable,interval_variable> aggr((SUM(total <date,interval_variable,variable> count)/sum(total <date,variable> count)),interval_variable,variable,date))
/*menor que o minimo da distribuição */ >
AVG(TOTAL <variable,interval_variable> aggr((SUM(total <date,interval_variable,variable> count)/sum(total <date,variable> count)),interval_variable,variable,date)) - 2 * stdev(TOTAL <variable,interval_variable> aggr((SUM(total <date,interval_variable,variable> count)/sum(total <date,variable> count)),interval_variable,variable,date))
OR
/*second condition */
/*count distribution*/ stdev(TOTAL <variable,interval_variable> aggr((SUM(total <date,interval_variable,variable> count)/sum(total <date,variable> count)),interval_variable,variable,date))
/*maior que o maximo da distribuição*/ <
AVG(TOTAL <variable,interval_variable> aggr((SUM(total <date,interval_variable,variable> count)/sum(total <date,variable> count)),interval_variable,variable,date)) + 2 * stdev(TOTAL <variable,interval_variable> aggr((SUM(total <date,interval_variable,variable> count)/sum(total <date,variable> count)),interval_variable,variable,date))),
/*then color green */
rgb(147,219,112),
/*else color red*/
rgb(140,23,23))
不起作用,我的代码将所有结果变为绿色。
我想定一个日期固定的转折点,以便在我离开标准差时向我显示