group-by

问题 I have a dataframe that I am doing a groupby() on to get the counts on a column's values. I am trying to add an additional column for "Percentage of Total". I'm not sure how to accomplish that. I've looked at a few groupby options, but can't seem to find anything that fits. My dataframe looks like this: DAYSLATE DAYSLATE -7 days 1 -5 days 2 -3 days 8 -2 days 9 -1 days 45 0 days 589 1 days 33 2 days 8 3 days 16 4 days 14 5 days 16 6 days 2 7 days 6 8 days 2 9 days 2 10 days 1 回答1: Option 1 df[

问题 I have a dataframe that I am doing a groupby() on to get the counts on a column's values. I am trying to add an additional column for "Percentage of Total". I'm not sure how to accomplish that. I've looked at a few groupby options, but can't seem to find anything that fits. My dataframe looks like this: DAYSLATE DAYSLATE -7 days 1 -5 days 2 -3 days 8 -2 days 9 -1 days 45 0 days 589 1 days 33 2 days 8 3 days 16 4 days 14 5 days 16 6 days 2 7 days 6 8 days 2 9 days 2 10 days 1 回答1: Option 1 df[

问题 In my table, in Google Sheets, I have a column B called "description" and I'm trying to write a SQL query to group by substrings of column B. Values in B are like "Sell 1 Jan11 300.0/307.5 Strangle" and I just want to group by 'Jan11'. I have a few rows with Jan11 then it switches to Jan18, etc. I've tried substring, char index, mid, and nothing is working I've tried: =QUERY('spgsh1378'!A1:AP,"select B, mid(B,7,5), sum(M) group by mid(B,7,5)" =QUERY('spgsh1378'!A1:AP,"select B, substring(B,7

问题 In my table, in Google Sheets, I have a column B called "description" and I'm trying to write a SQL query to group by substrings of column B. Values in B are like "Sell 1 Jan11 300.0/307.5 Strangle" and I just want to group by 'Jan11'. I have a few rows with Jan11 then it switches to Jan18, etc. I've tried substring, char index, mid, and nothing is working I've tried: =QUERY('spgsh1378'!A1:AP,"select B, mid(B,7,5), sum(M) group by mid(B,7,5)" =QUERY('spgsh1378'!A1:AP,"select B, substring(B,7

问题 <root> <Entry> <ID>1</ID> <Details> <Code>A1</Code> <Value>1000</Value> </Details> </Entry> <Entry> <ID>2</ID> <Details> <Code>A2</Code> <Value>2000</Value> </Details> </Entry> <Entry> <ID>3</ID> <Details> <Code>B1</Code> <Value>3000</Value> </Details> </Entry> <Entry> <ID>4</ID> <Details> <Code>B2</Code> <Value>4000</Value> </Details> </Entry> </root> I have this input XML which I am looking to group via XSLT wherein the grouping happens by hardcoding node values . Let me explain that in

问题 I'm trying to build several models based on subsets (groups) and generate their fits. In other words, taking my attempts below into consideration, I'm trying to build models that are country specific. Unfortunately in my attempts I'm only able to take the entire dataset into consideration to build the models instead of restricting it to the groups of countries in the datasets. Could you please help me resolve this problem? In the first case I'm doing some sort of cross validation to generate

问题 I'm trying to build several models based on subsets (groups) and generate their fits. In other words, taking my attempts below into consideration, I'm trying to build models that are country specific. Unfortunately in my attempts I'm only able to take the entire dataset into consideration to build the models instead of restricting it to the groups of countries in the datasets. Could you please help me resolve this problem? In the first case I'm doing some sort of cross validation to generate

问题 Using the R programming language, I am trying to follow this tutorial over here: Count number of observations per day, month and year in R I create data at daily intervals and then took weekly sums of this data. To the "y.week" file, I want to add a "count" column that lists the number of observations in each week. Here is the code below I am using: #load libraries library(xts) library(ggplot2) #create data date_decision_made = seq(as.Date("2014/1/1"), as.Date("2016/1/1"),by="day") date

问题 EDIT: input very new to this. I have a similar problem to this: group by and then count missing variables? Taking the input data from that question: df1 <- data.frame( Z = sample(LETTERS[1:5], size = 10000, replace = T), X1 = sample(c(1:10,NA), 10000, replace = T), X2 = sample(c(1:25,NA), 10000, replace = T), X3 = sample(c(1:5,NA), 10000, replace = T)) as one user proposed, it's possible to use summarise_each : df1 %>% group_by(Z) %>% summarise_each(funs(sum(is.na(.)))) #Source: local data

问题 EDIT: input very new to this. I have a similar problem to this: group by and then count missing variables? Taking the input data from that question: df1 <- data.frame( Z = sample(LETTERS[1:5], size = 10000, replace = T), X1 = sample(c(1:10,NA), 10000, replace = T), X2 = sample(c(1:25,NA), 10000, replace = T), X3 = sample(c(1:5,NA), 10000, replace = T)) as one user proposed, it's possible to use summarise_each : df1 %>% group_by(Z) %>% summarise_each(funs(sum(is.na(.)))) #Source: local data