Data cleaning is an important step in preparing data for analysis, but it’s often tedious and time-consuming. If you’ve ever found yourself mind-numbingly scrolling through spreadsheets and editing data, you’re going to be excited about this tutorial. We’re going to guide you through using Julius AI to create an automated workflow for combining and cleaning your CSV files, making your data analysis process more efficient, consistent, and straightforward.
What’s great about Julius AI workflows, is you can set up a fully automated process that you can then share with your team or stakeholders, allowing them to complete a complex, multi-step data cleaning process in a fully- or semi-automated fashion.
Steps we’ll follow in this tutorial:
- Create your data-cleaning workflow
- Test your workflow
- Edit and share your workflow
Let’s dive in.