Split the column “category_name” into multiple columns without removing the original column. For example, a row with “Kids/Toys/Dolls & Accessories” in the category_name column, would be split across the newly created columns as “Kids”, “Toys” and “Dolls & Accessories”. Use the existing functionality in OpenRefine that creates multiple columns from an existing column based on a separator (i.e. in this case ‘/’). Provide the number of columns that are created in this operation. Remove the newly created columns that do not have values in all rows.
Split the column “category_name” into multiple columns without removing the original column. For example, a row with “Kids/Toys/Dolls & Accessories” in the category_name column, would be split across the newly created columns as “Kids”, “Toys” and “Dolls & Accessories”. Use the existing functionality in OpenRefine that creates multiple columns from an existing column based on a separator (i.e. in this case ‘/’). Provide the number of columns that are created in this operation. Remove the newly created columns that do not have values in all rows.
Chapter8: Working With Advanced Functions
Section: Chapter Questions
Problem 4.4CP
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Split the column “category_name” into multiple columns without removing the original column. For example, a row with “Kids/Toys/Dolls & Accessories” in the category_name column, would be split across the newly created columns as “Kids”, “Toys” and “Dolls & Accessories”. Use the existing functionality in OpenRefine that creates multiple columns from an existing column based on a separator (i.e. in this case ‘/’). Provide the number of columns that are created in this operation. Remove the newly created columns that do not have values in all rows.
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