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feat(docs): add images, improve step-by-step instructions
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This is a work in progress towards making the documentation accessible to new users of the platform. These new users are primarily interested in SAS and need to know all the steps with screenshots to get up and running.
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bryanpaget authored Jan 18, 2024
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94 changes: 79 additions & 15 deletions docs/en/index.md
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# The Advanced Analytics Workspace

<center>
![Statistics](images/statistics-on-the-moon-small.jpg)
</center>

!!! Info "Open source and made for you!"
The AAW is an open-source platform specifically crafted for data scientists, analysts, and researchers proficient in open-source tools and coding.
The [Advanced Analytics Workspace](https://www.statcan.gc.ca/data-analytics-services/aaw) (AAW) stands as a comprehensive and open-source solution designed to cater to the diverse needs of data scientists, analysts, and researchers proficient in open-source tools and coding. It offers a flexible environment that empowers practitioners to seamlessly conduct their work. More information about the AAW and Data Analytics Services (DAS) can be found on [the DAS Portal](https://www.statcan.gc.ca/data-analytics-services/aaw).

The [Advanced Analytics Workspace](https://www.statcan.gc.ca/data-analytics-services/aaw) (AAW) stands as a comprehensive and open-source solution designed to cater to the diverse needs of data scientists. It offers a flexible environment that empowers practitioners to seamlessly conduct their work. More information about the AAW and Data Analytics Services (DAS) can be found on [the DAS Portal](https://www.statcan.gc.ca/data-analytics-services/aaw).
## Getting Started

!!! Warning "Warning"
Many of the links on https://www.statcan.gc.ca/data-analytics-services/aaw are broken.
### StatCan Users

## Getting Started
Access the [Kubeflow Dashboard](https://kubeflow.aaw.cloud.statcan.ca/) to get started.

### External Users and Collaborators

- **StatCan Users**: Access the [Kubeflow Dashboard](https://kubeflow.aaw.cloud.statcan.ca/) to get started.
- **External Users and Collaborators**: Fill out [the DAS Onboarding Form](https://forms.office.com/r/RPrgDDkU9T) to tell us about your project needs. Once completed, a DAS representative will contact you to discuss the next steps and begin the onboarding process. Note: External users need a StatCan Cloud account granted by the business sponsor.
Fill out [the DAS Onboarding Form](https://forms.office.com/r/RPrgDDkU9T) to tell us about your project needs. Once completed, a DAS representative will contact you to discuss the next steps and begin the onboarding process. Note: External users need a StatCan Cloud account granted by the business sponsor.

## Creating Kubeflow Notebook Servers

Follow these steps to create your first notebook server:
### AVD

The Advanced Analytics Workspace (AAW) runs in the cloud. In order to access the AAW, please launch your AVD using the **Remote Desktop** icon on your personal computer.

![AVD Icon](./images/avd-icon.png)

Once your AVD has started, you can launch the AAW by opening the icon on your desktop. You can also access the AAW by following this link: [https://kubeflow.aaw.cloud.statcan.ca/](https://kubeflow.aaw.cloud.statcan.ca/).

![AAW Icon](./images/aaw-icon-on-desktop.png)

#### Login with Your Cloud Account

You'll need to login using your cloud account or whichever credentials have been given to you.

![Cloud Account](./images/log-in-with-cloud-account.png)

### Using the AAW through the Kubeflow Interface

#### Kubeflow Central Dashboard

When you first log in to the AAW, you will see the Kubeflow Central Dashboard. This contains links to recently used Notebook Servers and documentation.

![Kubeflow Central Dashboard](./images/kubeflow-main-ui.PNG)

#### Kubeflow Central Dashboard Sidebar

The sidebar on the left has

- **Home** (which will take you to the central dashboard) and
- **Notebooks** which takes you to the notebook servers in your selected namespace.\
- **Metrics**
- **Github**
- **Documentation**

![Kubeflow Central Dashboard Sidebar](./images/kubeflow-sidebar.png)

1. Log in to [Kubeflow](https://kubeflow.aaw.cloud.statcan.ca/);
2. Click **Notebooks** from the sidebar on the left (you may need to select a namespace from the **Select namespace** dropdown menu in the upper left-hand corner);
3. Click the **+ New Notebook** button (upper right-hand corder);
4. Follow [the instructions here](https://statcan.github.io/aaw/en/1-Experiments/Kubeflow.html#setup) to configure the notebook server.

### Make sure you are on the Kubeflow Main Page (we call it the Central Dashboard)

![Selecting a Namespace](./images/select-a-namespace-1.png)

### Then select the namespace from the namespace dropdown menu.

![Selecting a Namespace](./images/select-a-namespace-2.png)

### You will now see the name of the namespace and you are ready to go.

![Selecting a Namespace](./images/select-a-namespace-3.png)

### Click **Notebooks** from the sidebar on the left.

![Kubeflow Notebook Servers](./images/kubeflow-sidebar-notebooks-selected.png)

Note: you may need to select a namespace from the **Select namespace** dropdown menu in the upper left-hand corner.


### Click the **+ New Notebook** button (upper right-hand corder).

![+ New Notebook](./images/new-notebook.png)

### Configure the notebook server.

| Step | Image |
| --------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------ |
| Name your notebook server. | ![Selecting a Namespace](./images/make-a-new-sas-server.png) |
| Select the notebook server type. JupyterLab is suitable for most users (unless they need SAS). For SAS you must select SAS. | ![Selecting a Namespace](./images/select-a-namespace-2.png) |
| Select Protected B if you need it, you will not have access to the internet if you do this. | ![Selecting a Namespace](./images/select-a-namespace-3.png) |
| Once your notebook server has been named and you have selected the type of notebook server you can press LAUNCH. | |


For more detailed instructions on notebook server creation, please [follow the instructions here](https://statcan.github.io/aaw/en/1-Experiments/Kubeflow.html#setup) to configure the notebook server.

<!-- prettier-ignore -->
!!! Hint "Need help creating a notebook server?"
We have [a Slideshow](https://docs.google.com/presentation/d/12yTDlbMCmbg0ccdea2h0vwhs5YTa_GHm_3DieG5A-k8/edit?usp=sharing) with instructions on how to create a notebook server.

### Kubeflow Documentation

![Kubeflow Central Dashboard](./images/kubeflow-main-screen.png)

The AAW is based on [Kubeflow](https://statcan.github.io/aaw/en/1-Experiments/Kubeflow.html), an open source comprehensive solution for deploying and managing end-to-end ML workflows. Kubeflow simplifies the creation and management of customizable compute environments with user-controlled resource provisioning (custom CPU, GPU, RAM and storage). For more information on Kubeflow, please visit:

- [AAW Kubeflow Documentation](https://statcan.github.io/aaw/en/1-Experiments/Kubeflow.html)
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