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Remove character based on condition and position in string - R...

rstringsubstringcharacterdata-cleaning

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Dropping Rows that Contain a Specific String wrapped in square brackets?...

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Creating adjacency matrix with dirty dataset...

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How can I create a one-column dataframe containing all numeric values of a dataframe with several co...

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Pandas column reshaping: aligning the values to the left (ignoring the outside zeros)...

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Extract data based on another list...

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How to convert only row matrices in a list to column matrices in R?...

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Sample rows of a list of matrices based on numbers from another list...

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Extract data based on a list of time points from different individuals...

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How to remove a character from some rows in a dataframe column?...

pythonregexpandasdataframedata-cleaning

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How to remove row which contains blank cell from csv file in Java...

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Value "not a number" in my dataframe not found...

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Find rows that are identical in one column but not another...

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Editing data encapsulated in flags from text file...

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R - replacing the zero values in *just one row* of a matrix with NA...

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fill missing value based on one column to another...

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Rowwise totals on new column in R...

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How to fix a CSV where the variable names are in each row in R...

rcsvdata-cleaning

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Dataframe extracted from downloaded html file contains floats separated by spaces; how to clean?...

pythonrdataframedata-cleaningrvest

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How can I preserve missing cells in a downloaded data file?...

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How to duplicate responses in rows with specific matching variables in R...

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Pivot dataframe to keep column headings and sub-headings in R...

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Issue while splitting a column of a data frame into different columns...

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How to move two specific rows to top of dataframe?...

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Combine rows within the same list of a list...

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How Replace a dot (.) in sentence except when it appears in an abbreviation using regular Expression...

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How do I delete a string that's not a row or column...

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Count number of NA's in a Row in Specified Columns R...

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Colapse rows wit same date and keep value...

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Find the categories that frequently occur together based on another column...

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