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Use the t() function to transpose a matrix or a data frame. In the later case, rownames become variable (column) names. A tutorial to get you started with basic data cleaning techniques in Python using Pandas Above, we defined a list that contains the names of all the columns we want to drop. extr = df['Date of Publication'].str.extract(r&# 5) Clean R environment and close session. 4 Columns should contain variables names() returns the column names str() gives overall structure of your data. If you did not complete the Get lesson (or are starting in a new R session), just load in the Also remember that data frames have column names.

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The value.name_repair = "universal" goes further and makes column names syntactic, i.e. makes sure they don’t contain any forbidden characters or reserved words.

R doesn’t like special characters or space in the column names.
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Examples Notice that R starts with the first column name, and simply renames as many columns as you provide it with. In this example, since there are 11 column names and we only provided 4 column names, only the first 4 columns were renamed. To rename all 11 columns, we would need to provide a vector of 11 column names.

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