StackOverflow Questions for Tag: split-apply-combine

user194145

Reputation: 97

Pandas create complex rolling calculation in groupby

pythonpandasgroup-byvectorizationsplit-apply-combine

Score: 2

Answers: 1

EngrStudent

Reputation: 2022

tidyr or dplyr equivalent of JMP split table

rdplyrsplit-apply-combine

Score: 2

Answers: 2

Eliezer Otero

Reputation: 131

can DataFramesMeta handle multicolumn transformation or summarization at once?

dataframejuliasplit-apply-combinedataframesmeta.jl

Score: 1

Answers: 1

Unsullied

Reputation: 35

Pandas calculate elapsed time

pandasgroup-bysplit-apply-combine

Score: 0

Answers: 2

Moshi

Reputation: 233

Combine grouped DF in Julia with Floats and Strings

dataframejuliasplit-apply-combinedataframes.jl

Score: 2

Answers: 1

Alex Coppock

Reputation: 2252

purrr split %>% map %>% bind VERSUS dplyr group_by %>% do

rgroup-bydplyrpurrrsplit-apply-combine

Score: 4

Answers: 1

Taylor

Reputation: 2077

improvement on tapply (shifting groups of vectors)

rgroup-bytapplysplit-apply-combine

Score: 2

Answers: 2

vochicong

Reputation: 51

How to combine and make an array into a cell of DataFrames.jl?

arraystuplessplit-apply-combinedataframes.jl

Score: 1

Answers: 0

Verbal_Kint

Reputation: 1416

Count commonalities/frequency among subgroups

pythonpandassplit-apply-combine

Score: 0

Answers: 1

Antonello

Reputation: 6431

How to produce grouped summary statistics without explicitly naming the variables

dataframejuliasplit-apply-combine

Score: 2

Answers: 1

Sid0311

Reputation: 111

Read in multiple .csv files, transform them and save as new files in R

rdplyrlapplypurrrsplit-apply-combine

Score: 0

Answers: 1

Matt W.

Reputation: 3722

split apply combine w/ function or purrr package pmap?

rfor-looppurrrsplit-apply-combinepmap

Score: 3

Answers: 1

Sid0311

Reputation: 111

R: Convert each row of a large dataframe into a matrix and save output as a .csv file

rdplyrlapplypurrrsplit-apply-combine

Score: 0

Answers: 2

Sid0311

Reputation: 111

Calculate z-score from another dataframe when meeting conditions in R

rdplyrmergepurrrsplit-apply-combine

Score: 0

Answers: 1

ds_guy

Reputation: 143

How to use dplyr to calculate a weighted mean of two grouped variables

rdplyrweighted-averagesummarizesplit-apply-combine

Score: 10

Answers: 2

jgg

Reputation: 831

How do I split-apply-combine on a dataframe with multi-index columns?

pythonpandassplit-apply-combine

Score: 1

Answers: 1

jvalenti

Reputation: 640

R: split-apply-combine for geographic distance

rlistdataframegeocodingsplit-apply-combine

Score: 7

Answers: 4

mkk

Reputation: 1023

how to add key variables to `dplyr::group_map()`?

rdplyrsplit-apply-combine

Score: 4

Answers: 3

Fernando Hoces De La Guardia

Reputation: 539

How to add totals as well as group_by statistics in R

rdplyrsplit-apply-combine

Score: 1

Answers: 2

yash agarwal

Reputation: 95

Simple Split Apply Combine, custom function

pythonpandasdataframegroup-bysplit-apply-combine

Score: 1

Answers: 1

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StackOverflow Questions for Tag: split-apply-combine

Pandas create complex rolling calculation in groupby

tidyr or dplyr equivalent of JMP split table

can DataFramesMeta handle multicolumn transformation or summarization at once?

Pandas calculate elapsed time

Combine grouped DF in Julia with Floats and Strings

purrr split %&gt;% map %&gt;% bind VERSUS dplyr group_by %&gt;% do

improvement on tapply (shifting groups of vectors)

How to combine and make an array into a cell of DataFrames.jl?

Count commonalities/frequency among subgroups

How to produce grouped summary statistics without explicitly naming the variables

Read in multiple .csv files, transform them and save as new files in R

split apply combine w/ function or purrr package pmap?

R: Convert each row of a large dataframe into a matrix and save output as a .csv file

Calculate z-score from another dataframe when meeting conditions in R

How to use dplyr to calculate a weighted mean of two grouped variables

How do I split-apply-combine on a dataframe with multi-index columns?

R: split-apply-combine for geographic distance

how to add key variables to `dplyr::group_map()`?

How to add totals as well as group_by statistics in R

Simple Split Apply Combine, custom function

purrr split %>% map %>% bind VERSUS dplyr group_by %>% do