> ## Documentation Index
> Fetch the complete documentation index at: https://julius.ai/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# Data Cleaning Basics

> Data cleaning basics to produce an effective analysis. 

Cleaning your data is a critical step before running any analysis but it doesn't have to be time-consuming. With **Julius**, you can clean your data in seconds.

Here are three simple and effective ways to prepare your data for analysis on Julius:

<Card title="Use Step-by-Step Commands in Chat" horizontal>
  Instruct Julius to clean your data one step at a time

  1. Ask Julius to **standardize the data**,
  2. **Handle missing values**,
  3. **Remove duplicates**, or
  4. Perform other custom cleaning steps as needed.

  This approach is great if you want visibility into every step of the cleaning process.
</Card>

***

<Card title=" One-Click Prompt After Upload" horizontal="false">
  For faster cleanup, you can simply **upload your file and prompt Julius** with a message like:

  > "Clean this dataset."

  Within seconds, Julius will automatically analyze the file and apply smart cleaning operations based on common issues like inconsistent formatting, missing entries, or duplicate rows.

  This is perfect for quick, one-off cleaning tasks.
</Card>

***

<Card title="Automate with a Cleaning Workflow">
  If a dataset requires **frequent or recurring cleanup**- daily or several times per week- Julius allows you to build a reusable cleaning workflow using **Notebooks**

  Once a Notebook is built, you can:

  * Revisit the same Notebook anytime,
  * Re-run the analysis with fresh data,
  * Get consistent, clean results every time

  This approach ensures consistency and saves time, especially for operational reporting or automated pipelines.

  <Tip>
    More on Notebooks here: [https://julius.ai/docs/notebooks/building-a-notebook#start-a-notebook-from-scratch](https://julius.ai/docs/notebooks/building-a-notebook#start-a-notebook-from-scratch)
  </Tip>
</Card>