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0answers
23views
Text summarizer produces second half of exampe text rather than complete text summary in 2 sentences plus keywords. Where does the summary fail?Python
App.py runs and produces the spinner feature. However, it outputs the second half of the example wiki text file instead of producing a simple summary generated by the model.py script. App.py and model....
0votes
2answers
78views
DAX concatenate list of a column value (ex. contract) grouped by date
I'm trying to create a list of contracts that expire by dates. I looked on the many sites for a solution.I have a measure that calculates the date and i need calculated table with a summurazed ...
- 47
1vote
4answers
117views
Summarize dataframe in R to get number of standard exceedances based on a standard that is a range (i.e.: 6.5-8)
I have a dataframe named wqdata:structure(list(SYS_LOC_CODE = c("RM-1", "RM-1", "RM-1", "RM-1", "RM-2", "RM-2", "RM-2", "RM-...
- 117
1vote
3answers
112views
Function to evaluate vector based on time and stops once it reaches a threshold
I have a data frame with three variables ID, year and value. I would like to know how many times the "value" has been larger than a threshold going backwards, from the most recent year to ...
4votes
5answers
139views
Error with Custom Function and dplyr across()
I have a dataframe like this:dat <- data.frame(ID=c("12345", "54321", "12345", "54321", "99999", "12345"), cat1 = c(1,...
- 51
1vote
2answers
98views
Making list of strings while summarizing with dplyr [duplicate]
I have a series of dataframes, each of which contains a name column and then a text column. I'd like to find duplicates in the text, and then generate a list of all the names that are associated with ...
- 601
1vote
2answers
77views
Reformat data to summarize and collapse rows into simple table
I have a dataset that looks something like this:namepartycountyearlikesretweetTomR12016135723DaveR12016188134LarryD1201632445TimD12016558756RobR12016984767SamD1...
- 401
0votes
1answer
141views
Using summarize_all() to get a count of values in multiple columns
I want to create a table that counts up the number of non-NA values in each column of a dataset. I'm using summarize_all(), but I'm struggling to get a count of non-NA values.I referred to this ...
- 387
5votes
1answer
90views
How to handle groups with NA values when using map_dfr and summarize
I am trying to calculate slopes for multiple measures in a grouped dataset using lm() in R. However, some groups have all NA values for certain measures, which causes the following error:Error in `...
- 97
0votes
0answers
39views
Need help summarising data at asset level while also evaluating at blockgroup level too
I have a table of assets which belong to blockgroups which belong to stations. Assets<Blockgroup<Station. I'm trying to filter the table down to a smaller asset list based on some conditions. A ...
0votes
1answer
63views
summarise not getting expected result? [closed]
For the following code:d <- data.frame(seq=c(0,0,1,1,2,2,2), kdt=c('2023-01-30','2023-01-30','2023-04-04','2023-04-04','2023-06-01', '2023-06-04','2023- 06-04'), ...
- 11
0votes
1answer
49views
Filter multiple tables [closed]
I am currently working on a DAX query and would like to enhance it by adding an additional filter before selecting the columns. The filter I want to apply is as follows:EVALUATE VAR StartDate = ...
- 711
0votes
2answers
194views
Calculate Means and SDs for each column using dplyr´s "summarise_all"
I have a large dataset, containing a categorical (Size) and a numeric variable(Fraktion) to group the data. The rest are analytical resultd like numeric values. Every value got sampled 3 times, and I ...
2votes
3answers
63views
R - calculate value by each seperate instance of a variable in a data frame
I have a data frame with multiple instances of variables and their durations. I would like to combine each separate instance of each variable and calculate their duration.I've provided an example and ...
0votes
3answers
134views
How do I dplyr `summarize` and/or `mutate` over a list of parameter values, without an external `for` loop or generating extra columns?
I've been asked to generate something like this:library("tidyverse")df <- tibble( comparison_var = c(1:10), var_to_sum = runif(10, max = 10), other_var = runif(10, max = 50))...
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