count

Select MCQ answer count based on previous question's answer

人盡茶涼 提交于 2021-02-11 12:49:52
问题 Let's take a PostgreSQL DB with the following structure: (all the relations from top to down are OneToMany ) Where a Brandlift always has exactly 2 brandlift_question each having 1 brandlift_answer (itself having many brandlift_answer_content ) by brandlift_respondent Goal: Given a 'brand' (let's call it the "flagship brand") and a brandlift.campaign_id , for each brand of this brandlift , retrieve by respondent segment , the count of brand.id = 'answer_content.brand_id' of the second (right)

Grepl group of strings and count frequency of all using R

一个人想着一个人 提交于 2021-02-11 12:08:56
问题 I have a column of 50k rows of tweets named text from a csv file (the tweets consists of sentences, phrases etc). I'm trying to count frequency of several words in that column. Is there an easier way to do it vs what I'm doing below? # Reading my file tweets <- read.csv('coffee.csv', header=TRUE) # Doing a grepl per word (This is hard because I need to look for many words one by one) coffee <- grepl("coffee", text$tweets, ignore.case=TRUE) mugs <- grepl("mugs", text$tweets, ignore.case=TRUE)

Grepl group of strings and count frequency of all using R

一世执手 提交于 2021-02-11 12:08:23
问题 I have a column of 50k rows of tweets named text from a csv file (the tweets consists of sentences, phrases etc). I'm trying to count frequency of several words in that column. Is there an easier way to do it vs what I'm doing below? # Reading my file tweets <- read.csv('coffee.csv', header=TRUE) # Doing a grepl per word (This is hard because I need to look for many words one by one) coffee <- grepl("coffee", text$tweets, ignore.case=TRUE) mugs <- grepl("mugs", text$tweets, ignore.case=TRUE)

How to get the number of rows and SUM of the fields after grouping them in XSLT

为君一笑 提交于 2021-02-11 08:42:26
问题 I have an XML that contains workers and amounts. In the output, the file will contain lines for a worker - one line if he has EX and one line if he has ER. He has EX if he has amount1 in the xml file, and ER if he has amount2. This works perfectly fine in the my current XSLT. The main issue is on how to properly get the correct total number of rows and the sum of all amounts (both amount1 and amount2) after grouping them, and should be added in the header. Here's the sample XML: <Report_Data>

str_word_count and Arabic text

半城伤御伤魂 提交于 2021-02-11 06:20:44
问题 I used the function str_word_count to count how many ARABIC words are in a text, but it returns zero: $sentence = 'بِسْمِ اللَّهِ الرَّحْمَٰنِ الرَّحِيمِ'; $countSentence = str_word_count($sentence); echo 'Total words '.$countSentence.'<br />'; Thanks in advance 回答1: Try to use this function if (!function_exists('utf8_str_word_count')){ function utf8_str_word_count($string, $format = 0, $charlist = null) { if ($charlist === null) { $regex = '/\\pL[\\pL\\p{Mn}\'-]*/u'; } else { $split = array

Count events before a specific time for a series of items in R

丶灬走出姿态 提交于 2021-02-10 20:40:07
问题 I have a dataframe of items with a certain number of different events which occur at different times. e.g. say I had a times of events (goal, corner, red card etc...) in various games of football. I want to count the number of each events which occurred before a certain time for each team in each game (where the time is different for each game). So I could have a dataframe of events (where C is corner, G is goal and R is red card) as follows: events <- data.frame( game_id = c(1, 1, 1, 1, 1, 1

Count events before a specific time for a series of items in R

二次信任 提交于 2021-02-10 20:38:39
问题 I have a dataframe of items with a certain number of different events which occur at different times. e.g. say I had a times of events (goal, corner, red card etc...) in various games of football. I want to count the number of each events which occurred before a certain time for each team in each game (where the time is different for each game). So I could have a dataframe of events (where C is corner, G is goal and R is red card) as follows: events <- data.frame( game_id = c(1, 1, 1, 1, 1, 1

Vlookup and Count String Occurrences in Separate Table R to new Column

…衆ロ難τιáo~ 提交于 2021-02-10 19:53:25
问题 I have two data frames. Below are samples but should be easily reproducible for illustration. df1 <- data.frame(School = c("Omaha South", "Omaha Central", "Grand Island"), Enrollment = c(2166, 2051, 1982)) df2 <- data.frame('Away Score' = c(25, 57, 76), 'Away Team' = c("Omaha South", "Omaha Central", "Grand Island"), 'Away Score' = c(52, 88, 69), 'Away Team' = c("Omaha Central", "Grand Island", "Omaha South"), Date = c("1/11/2020", "1/12/2020", "1/13/2020"), Winner = c("Omaha Central", "Grand

word count from web text document result in 0

邮差的信 提交于 2021-02-10 18:14:13
问题 I tried the python codes from the article of Rasha Ashraf "Scraping EDGAR with Python". He used urllib2 which is now invalid in python 3, I guess. Thus, I changed it into urllib. I could bring the following Edgar web page. However, the number of word counting resulted in 0 no matter how I tried to fix the codes. Please help me to fix this problem. FYI, I manually check on the URL page so that "ADDRESS", "TYPE", and "transaction" occur 5 times, 9 times, and 49 times each. Nevertheless, my

Get row count of table while inserting data in table

こ雲淡風輕ζ 提交于 2021-02-10 18:02:37
问题 Here is Sample Data and Schemas CREATE TABLE [dbo].[Customer]( [Id] [int] IDENTITY(1,1) NOT NULL, [Name] [nvarchar](500) NOT NULL, [IsDelete] [bit] NOT NULL, CONSTRAINT [PK_Customer] PRIMARY KEY CLUSTERED ( [Id] ASC )WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY] ) ON [PRIMARY] GO CREATE TABLE [dbo].[Invoice]([Id] [int] IDENTITY(1,1) NOT NULL,[CustomerId] [int] NOT NULL, [Amount] [decimal](18, 2) NOT NULL,