Data cleaning is essential before performing any meaningful analysis, but it can often feel like a monotonous, manual task. If you’ve ever struggled with manually editing and merging data files, this tutorial is for you. Using Julius AI, we will create an automated workflow that simplifies the data cleaning process, allowing you to merge, deduplicate, and process your CSV files effortlessly.

By the end of this tutorial, you’ll have a repeatable workflow that you can share with your team, making the data preparation process more consistent and less time-consuming.

Key objectives:

1. Setting Up Your Data Cleaning Workflow
2. Testing the Workflow
3. Editing and Sharing the Workflow

Setting up your data cleaning workflow

Start by visiting the Julius AI website and creating your account if you don't have one yet.

Once logged in, navigate to the My Workflows section.

Click on New Workflow to initiate the creation process.

Give your workflow a descriptive name such as "Data Cleaning Automation". If you’d like, add a short description outlining the goal of the workflow. Then click on the Generate Steps With AI button.

Julius AI allows you to use natural language prompts to define tasks. Write a simple prompt such as, "Merge two CSV files and remove duplicates." Julius will generate a step-by-step process based on this prompt.

After generating the workflow, you will see steps such as uploading CSV files, merging the data, and removing duplicates. You can rearrange, add, or remove steps based on your needs.

Tips:

• Explore pre-made workflows for ideas
• Add optional human interaction steps, such as confirming file names or reviewing outputs.

Testing the workflow

After finalizing your workflow, click Run Workflow. This will open the real-time interface where you can test how the automation works.

In the interactive mode, start by uploading your first CSV file and then the second.

Julius AI will provide live feedback as it processes each step, allowing you to check for issues. If errors occur or the workflow doesn’t behave as expected, this is your chance to debug it.

Julius AI will automatically merge the files and deduplicate any repeating entries.

Are you happy with the result? Just run the task to save the cleaned file to a new CSV file.

Editing and sharing the workflow

Return to the workflow builder if you want to modify the generated process. For instance, you might want to automate naming the output file or skip some manual confirmation steps.

Once you're satisfied with the workflow, use the Share feature. You can either share it via a direct link or make it accessible to all Julius AI users by publishing it in the Explore section.

You can also share the conversation in case you need to.

Conclusion

By following these steps, you’ve now created a fully automated data-cleaning workflow using Julius AI. You can reuse this workflow anytime you need to clean, combine, and deduplicate CSV files. Sharing it with your team will make your data analysis process more consistent and time-efficient.