aggregate

String Aggregation in ORACLE 10g with three columns

由 丶灬走出姿态 提交于 2019-12-25 12:48:11
问题 This is a sample table data Date | Fruit | Number ----------------------- 1 | Apple | 1 1 | Apple | 2 1 | Apple | 3 1 | Kiwi | 6 1 | Kiwi | 10 2 | Apple | 4 2 | Apple | 5 2 | Apple | 6 2 | Kiwi | 4 2 | Kiwi | 7 I try to concatenate the table column values to get the following: Date | Fruit | Number ----------------------- 1 | Apple | 1-2-3 1 | Kiwi | 6-10 2 | Apple | 4-5-6 2 | Kiwi | 4-7 Code that I use: SELECT fruit, LTRIM( MAX(SYS_CONNECT_BY_PATH(number,',')) KEEP (DENSE_RANK LAST ORDER BY

Which elasticsearch aggregations should I use?

由 喜夏-厌秋 提交于 2019-12-25 11:58:46
问题 I need to create a bar chart of "number of active users by date". An active user means the user who has logged in last 7 days. so I need to count total number of users, whose last_activity date is within 7 last days. and I need to do it for each bar(day) in my chart. I understand it needs to be done using aggregations elastic search, but unsure which aggregations should I use? bucket aggregations, pipeline aggregations? Please let me know if you know a similar example of it. Here you can find

Column level sum/aggregation in SAPUI5 GridTable

由 我与影子孤独终老i 提交于 2019-12-25 09:19:41
问题 I need to sum/aggregate of finance data at the bottom of Column in SAPUI5 GridTable . I am populating finance data from SAP HANA based odata services but the service can not provide Total at the bottom of data set. Hence my GridTable not showing Total. Can you please provide sample code or idea how I can calculate and show Total in UI5 application? 回答1: You can use method: attachRequestCompleted of the model and then find the sum by looping over the data. 来源： https://stackoverflow.com

mongodb聚合管道用法

由 大兔子大兔子 提交于 2019-12-25 06:52:46
基本用法 db.collection.aggregate( [ { <stage> }, ... ] ) stage如下 名称 描述 $addFields 将新的字段添加到文档中，输出的文档包含已经存在的字段和新加入的字段 $bucket 根据指定的表达式和存储区边界将传入文档分组到称为buckets的组中。 $bucketAuto 根据指定的表达式将传入文档分类到特定数量的组（称为buckets）。存储区边界自动确定，试图将文档均匀分布到指定数量的buckets中。 $collStats 返回有关集合或视图的统计信息。 $count 返回聚合管道的计数 $currentOp 返回有关MongoDB部署的活动和/或休眠操作的信息 $facet 在同一组输入文档中的单个阶段内处理多个聚合流水线。支持创建多方面的聚合，能够在单个阶段中跨多个维度或方面表征数据。 $geoNear 根据地理空间点的接近度返回有序的文档流。包含地理空间数据的$ match，$ sort和$ limit功能。输出文件包含一个额外的距离字段，并可包含位置标识符字段。 $graphLookup 对集合执行递归搜索。为每个输出文档添加一个新的数组字段，其中包含该文档的递归搜索的遍历结果 $group 按指定的标识符表达式输入文档，并将累加器表达式（如果指定）应用于每个组。消耗所有输入文档并为每个不同的组输出一个文档

SSRS 2012 Mean & Median

由 强颜欢笑 提交于 2019-12-25 04:59:17
问题 I have a report that i use Mean and Median measures that were calculated in SSAS 2012 tabular, the reports as follows: when i use the Mean and Median directly, the values in the green box are correct and the column and row totals are incorrect. after using aggregate instead of sum the following happens: 1- the blank row and blank column are now gone along with their values. 2- Then total of the Mean is correct in every cell except the grand total(2nd cell from right bottom corner), it appears

Averages greater than 95 percentile in jmeter

由 主宰稳场 提交于 2019-12-25 03:59:09
问题 my average response time is coming greater than the 99 percentile( in JMeter). 回答1: So what? My too. This is normal situation when you have: low number of samplers with high response time and high number of samplers with low response time In above setup I used 1 Dummy Sampler with 1000 milliseconds response time and 100 Dummy Samplers with 1 millisecond response time resulting in average response time of 11 ms and 99% of 4 ms. More information: JMeter Glossary Percentile Arithmetic Mean 回答2:

create aggregate column based on variables with R [duplicate]

由 佐手、 提交于 2019-12-25 03:29:18
问题 This question already has answers here : Calculating statistics on subsets of data [duplicate] (3 answers) Closed 3 years ago . I apologize in advanced if this is somewhat of a noob question but I looked in the forum and couldn't find a way to search what I am trying to do. I have a training set and I am trying to find a way to reduce the number of levels I have for my categorical variables (In the example below the category is the state). I would like to map the state to the mean or rate of

Using aggregate to find a function (mean) for “all other”

由 末鹿安然 提交于 2019-12-25 02:44:10
问题 I've been playing around with aggregate and plyr -- and searched SO -- but can't seem figure this out. I'm trying to get the mean for "all other" for a given variable. So, I can use aggregate to get the mean of var for each one of the variables in group -- yes, the variables are characters and have to be escaped :-( What I'd like to do is get: the mean for just - , and then separately the mean for all other variables ( / * # ) or not- - combined. So in the example data below, the mean for -

How to aggregate hourly values into 24h-average means without timestamp

由 ╄→尐↘猪︶ㄣ 提交于 2019-12-25 01:42:39
问题 I have 'mydata_hourly' with 3 station (actually more) and their hourly temperature values over one year. This gives me 8760 hourly measurements in one year. Now I want to have the same structure but with the (365) 24h-average means 'mydata_daily'. I have tried something with a for loop, this didn't work out. I have heard something about an aggregate function. I found something with a timestamp, what I don't have unfortunately. . my_data_hourly <- structure(c(8.29, 7.96, 8.14, 7.27, 7.37, 7.3,

I need to convert my hourly data to daily data by taking the sum

由 隐身守侯 提交于 2019-12-25 00:19:40
问题 data set : structure(list(time = structure(c(1506406740, 1506406770, 1506406860, 1506406890, 1506406920, 1506406950, 1506406980, 1506407010, 1506407040, 1506407070), class = c("POSIXct", "POSIXt"), tzone = "UTC"), Column3 = c(131, 131, 131, 131, 131, 131, 131, 131, 131, 131), m_Pm = c(2.402842, 2.556558, 2.805165, 2.97428, 3.101824, 3.23984, 3.359587, 3.474448, 3.62753, 3.773597)), row.names = c(NA, -10L), class = c("tbl_df", "tbl", "data.frame")) It works alright till the first aggregate
订阅 aggregate