# Quick Start - Must See🔮 **Let's begin!** After login, you'll see below:

The main functions are: * Getting Started * Create/View all my projects * Library * Sample projects from Bayeslab and community * Data Table * Connect/Import/List all of tabular data across all projects. * Integrations * Manage integration with external systems. * Tutorial * Official tutorials of Bayeslab including editing/visualization/statistics/machine learning. * Account * Manage [account and billing](https://bayeslab.gitbook.io/docs/plans-and-billing) plans. * Switch Language * Change UI and AI language. {% hint style="success" %} You can use any language to prompt , though we recommend using the same language as your data. {% endhint %} {% hint style="info" %} When switching language, not only UI will change, but also AI will reply in the language you choose. For example, you can switch the language to Japanese and still use English to prompt, AI will try the best to reply in Japanese. {% endhint %} ## First Try Every fun starts with creating a project by clicking "New Project", and input the project name.

A **project** is consist of **pages** and a page is consist of **blocks**. Blocks are the base building elements of an analysis flow, representing a single step or document paragraph. See [here](https://bayeslab.gitbook.io/docs/basics/editor/literate-programming) for more explanation.

Then you'll start with a single page in editor, as below:

* for more details, please see [Editor](https://bayeslab.gitbook.io/docs/basics/editor). ### Import Data Then you can import data using data table from excel:

Upload your own csv/excel and click **next**

You can see AI automatically analyze and assign correct type/description for your data, along with recommendations on data quality.

* for more details, please see [Data Table](https://bayeslab.gitbook.io/docs/connect-to-data/data-table) By clicking Confirm you can see the table is correctly imported and referenced in current block

### Data Preview You can now click this table (in block or on the left list of tables) to preview it's data

* for more details, please see [Data Preview](https://bayeslab.gitbook.io/docs/analyze-visualize/data-preview) ### Write Prompt Then you can continue write a prompt like "Average Revenue for lifecycle, bar chart"

{% hint style="success" %} You can reference this data in another block using double back slash ( // ) , and input the table name. ![](https://2463519681-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FLjXlg9zqMASkILutGQsH%2Fuploads%2F2keVlAMduz1kXTX60bbk%2Fimage.png?alt=media\&token=4d6bbd8d-f013-4644-ad1a-0c8886194779) {% endhint %} ### Run Then click run or use Ctrl+Enter (Command +Enter), AI will parse the requirement and try execute.

The result consists of several parts: * **Output** * Detail logs of AI executing. Please see [AI Block](https://bayeslab.gitbook.io/docs/analyze-visualize/ai-block) for more details. * **Chart** * Interactive chart if user want to visualize in chart format. You can edit the chart display right here. * Please see [Chart](https://bayeslab.gitbook.io/docs/analyze-visualize/chart) for more details. * **Result** * A list of AI identified result that can be viewed or referenced for further processing in later blocks. {% hint style="success" %} You can use double backslash ( // ) to reference any previous **Result** in later blocks. ![](https://2463519681-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FLjXlg9zqMASkILutGQsH%2Fuploads%2FO1HvnjbslBJ6z4GKe2CF%2Fimage.png?alt=media\&token=34a9a510-82cb-4acc-b79d-4c2cbc73f9e4) This is extremely useful when later block need to further process previous block's result data. {% endhint %} ### Copilot Clicking **Chat** or **Explain** on chart would take you to **Chart Copilot**, where you can ask any follow up **questions** about the chart or get **recommendation** on next steps.

Please see [Copilot](https://bayeslab.gitbook.io/docs/analyze-visualize/chart#copilot) for more details. ## Next Step Congratulations! You've done first analysis. Get in more details of editing by viewing[ Analysis Flow](https://bayeslab.gitbook.io/docs/analyze-visualize/your-analysis-flow). Or understand data in Bayeslab more by seeing details in [Data Table](https://bayeslab.gitbook.io/docs/connect-to-data/data-table). --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://bayeslab.gitbook.io/docs/basics/quick-start-must-see.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.