Lastly, you can make use of the Google Sheets API to interact with your spreadsheets programmatically. This allows you to create, read, update, and delete data from your sheets using code. You can integrate Google Sheets with other applications and services, automate complex workflows, and build powerful data-driven applications.

Another useful technique is using the IMPORTRANGE function to pull data from one Google Sheet into another. This can be particularly useful when working on collaborative projects or consolidating data from multiple sources. You can also use the FILTER function to extract specific rows or columns from a dataset based on custom criteria, giving you more control over your data manipulation.

Another advanced technique is using Apps Script, which is Google's scripting language that allows you to extend the functionality of Google Sheets. With Apps Script, you can automate repetitive tasks, create custom functions, and even integrate with other Google services like Drive or Gmail. This opens up a whole new world of possibilities in terms of data manipulation and automation.

One often overlooked feature is the Query function in Google Sheets. The Query function allows you to write SQL-like queries to filter and manipulate your data. You can perform complex aggregations, sorting, and filtering operations, making it a powerful tool for data analysis and reporting. Learning to use the Query function can greatly enhance your ability to work with data in Google Sheets.

You can use array formulas to perform calculations on multiple cells at once, making your formulas more efficient and reducing the need for excessive copying and pasting. Additionally, you can use conditional formatting to highlight specific cells based on custom rules, allowing for easier data analysis and visualization. Another useful technique is using data validation to create dropdown menus or restrict the input to specific ranges, ensuring data integrity.