Execute custom tasks on data, particularly data preparation and clean-up, involves being proficient at a wide range of different tools and is often arduous and time-consuming, not allowing data analyst and researchers to focus on the most valualble part: the analytical one. AI can efficiently streamline most of these tasks, processing large volumes of text, identifying and rectifying inconsistencies, errors, and irrelevant data. This includes tasks like standardizing formats, correcting spelling and grammatical errors, and removing duplicate or extraneous information.
By automating the data clean-up process, AI not only saves considerable time but also enhances the accuracy and reliability of the data. This is particularly crucial in contexts where clean and well-structured data forms the foundation for further analysis and decision-making.
Use this template to get familiar with our APPLY_TASK_OPENAI function.
How it works
- Use the first table to learn about the function parameters
- In the tables below, drag the formula down to see AI executing specific tasks to a diverse set of data.