Sorting
Learn about sorting, its benefits, its applications, and its best practices.
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Introduction
Sorting is an essential operation in data science that involves rearranging the records of a dataset in a specific order based on values in one or more columns. Let’s suppose we have a dataset with employee information, including columns for employee ID, name, age, and salary. If we want to sort the dataset by the values in the salary column, we can rearrange the records so that the records with the lowest salary appear first, followed by records with higher salaries. This new arrangement can be useful for identifying patterns or trends in the data or for creating reports or visualizations. Examples include revealing that a particular department has a higher average salary than other departments or that there is a significant salary gap between employees of different ages or genders.
Benefits of sorting
Here are some benefits of sorting:
- Enhanced readability and organization: Sorting data can make understanding and organizing datasets easier,