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Pandas - directly add moving average columns from group by to dataframe...


pythonpandaspandas-groupbymoving-averagesplit-apply-combine

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Find half of each group with Pandas GroupBy...


pythonpandaspandas-groupbysplit-apply-combine

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A loop to create multiple data frames from a population data frame...


rgroup-bysummarizationsplit-apply-combine

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Combining rows by index in R...


rtidyversesplit-apply-combine

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split, apply and combine on 2 columns of data...


rsplit-apply-combine

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Using groupby with expanding and a custom function...


pythonpandaslambdapandas-groupbysplit-apply-combine

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Groupby cumulative mean with wide/long pivoting...


pythonpandaspandas-groupbysplit-apply-combine

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Calculating age per animal by subtracting years in R...


rsplit-apply-combine

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Avoiding the use of for loop for cumsum...


rfor-loopapplycumsumsplit-apply-combine

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data.table: aggregate, join, and assign by reference...


rdata.tablesplit-apply-combine

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MATLAB: return both arguments from ISMEMBER when used inside SPLITAPPLY...


matlabcell-arraysplit-apply-combine

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Quantile threshold/filter within pandas groupby...


pythonpandaspandas-groupbysplit-apply-combine

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Building complex subsets in Pandas DataFrame...


pythonpandasdataframepandas-groupbysplit-apply-combine

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python pandas, DF.groupby().agg(), column reference in agg()...


pythonpandasgroup-bysplit-apply-combine

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Python Pandas Aggregate Series Data Within a DataFrame...


pythonpandassplit-apply-combine

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Replacing dataframe values by median value of group...


pythonpandassplit-apply-combine

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How to use split-apply-combine pattern of pandas groupby() to normalize multiple columns simultaneou...


pythonpandasnormalizationsplit-apply-combine

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tidyr or dplyr equivalent of JMP split table...


rdplyrsplit-apply-combine

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Get most common column for each column value...


pythonpandassplit-apply-combine

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How to count rows in nested data_frames with dplyr...


rdplyrsplit-apply-combine

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pandas combine_first resulting in more number of rows...


pythonpandasdataframetime-seriessplit-apply-combine

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Operate on columns based on a variable...


rdplyrreshape2split-apply-combine

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Pandas apply function to groups, and filter the original dataframe...


pythonpandasdataframegroup-bysplit-apply-combine

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Assign column value (split apply combine) based on another column...


dplyrsplit-apply-combine

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R Data transform - Columns to Rows and aggregate...


raggregatemultiple-columnsrowssplit-apply-combine

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Pandas timestamp difference in groupby transform...


pythonpandasnumpytimestampsplit-apply-combine

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Correct use of dplyr functions to compute per-product sales in sliding-window, without needing extra...


rdplyrsliding-windowsplit-apply-combine

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Use dplyr's group_by to perform split-apply-combine...


rgroup-bydplyrsplit-apply-combine

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Cut a variable differently based on another grouping variable...


rdplyraggregatetapplysplit-apply-combine

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