The sort operation allows you to arrange your dataset in ascending or descending order based on the values in a specific column (or multiple columns). This can be useful when you want to rank your data or identify the highest and lowest values.

Enter Sort Parameters

  • Desc: Sort the DataFrame or Series in descending order, with the largest values first.
  • Asc: Sort the DataFrame or Series in ascending order, with the smallest values first (default behavior).

Na Position

  • Last (Puts NaNs at the end): Sort the DataFrame or Series while placing NaN values at the end, regardless of the sorting order.
  • First (Puts NaNs at the beginning): Sort the DataFrame or Series while placing NaN values at the beginning, regardless of the sorting order.

These options allow you to customize the sorting process based on your requirements and the structure of your dataset. Sorting helps in organizing data for better analysis, identifying patterns, or making comparisons.

Example

Dataset:

DepartmentSales
HR100
Finance200
HR150
IT300
Finance250

Sort by Sales in descending order:

DepartmentSales
IT300
Finance250
HR150
Finance200
HR100