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Split Date

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Breaks date into day, month, and year columns.

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Input

Output

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Table Statistic?

Any Questions?

Breaks date into day, month, and year columns. A date is a specific point in time, typically expressed as a combination of day, month, and year. Read more about Date operation on Wikipedia https://en.wikipedia.org/wiki/Calendar_date

"2022-01-01" is a date because it represents a specific point in time.

Breaking down a date into its components can aid in specific analyses. HR professionals studying employee birthdays can split dates, categorizing employees by day, month, or year, aiding in event planning or analysis.

  • Microsoft Excel: TEXT
  • Google Sheets:
  • Apple Numbers:
  • Python Pandas: df['date'].str.split('-')
  • Related Words: date segmentation, break day-month-year, date division

This is normal for a web based application. We recommend uploading data up to 6000 columns and rows. If you encounter lag, you can reduce the sheet size.

There is a fullscreen button on the top right side of the input table. You can also download the table offline to edit with excel which has bigger screen sizes.

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