Data is at the core of every visualization and insight. While Julius can generate visualizations without you needing to interact with a spreadsheet, at times you may need to look under the hood to validate and inspect your data. Now introducing Data Explorer . With Data Explorer you can see the data outputs and variables in real time. See what is powering your tables and visualizations, update and delete and add columns in real time, and download and export the data to easily share.

​
How it works

Data explorer will populate all of the data generated by Julius in an interactive table format. Here you can:
1

Preview your data

See the different rows and columns that are being generated by Julius. You can easily do this by clicking Expand on any table in Julius.
2

Export the data as a CSV

Click the export button on the dataframe to export as a CSV
3

Update and filter columns in real time.

Use Julius to add, remove, or filter rows / columns, and see these update in real time.

​
Check out our quick How-To video to get you started with **Data Explorer: **

​
Frequently Asked Questions

What is a dataframe?

A Dataframeis a table that shows all of the data used and processed by Julius in your conversations!

How do I access the Data Explorer?

You can find the Data Explorerin the right menu. You can also click on Expandon any dataframe in the chat window, and this will expand the dataframe in the Data Explorer”

Who has permission to share the Notebook and manage its sharing settings?

Only the owner of the Notebook can update the sharing settings, including inviting and adding other users to the Notebook

Why aren’t my dataframe’s showing up in the Data Explorer?

You will only see your dataframes after you first interact with a file or generated a file in Julius. These will then show up in the Data Explorer

I can only see up to 49 rows, how do I view more?

To view more data, click the Next button to see the next 49 rows in your dataframe. You can also press the Previous.

Can I edit the tables in Data Explorer?

Simply interact with Julius to make changes or updates to your data.For example:
  • Remove the customer name column from my dataframe
  • Filter out data from the last 3 weeks
Reach out to team@julius.ai for support or to ask questions not answered in our documentation.