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

# Getting started with Explore

> Build your first multi Panel workspace to visualize and understand your data

export const SiftIcon = ({className}) => <span className={`inline-flex items-center align-middle text-black dark:text-white ${className || ''}`}>
    <svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" version="1.1" id="Artwork" x="0px" y="0px" viewBox="0 0 1005.58 733.96" style={{
  enableBackground: "new 0 0 1005.58 733.96",
  width: "2em",
  height: "2em"
}} xmlSpace="preserve">
      <path fill="currentColor" d="M552.16,150.89c-165.6,0-180.29,160.61-300.62,192.32v2.67h601.24v-2.67C747.74,324.18,717.72,150.89,552.16,150.89z   M453.46,583.08c165.6,0,180.29-160.61,300.62-192.32v-2.67H152.84v2.67C257.88,409.78,287.91,583.08,453.46,583.08z" />
    </svg>
  </span>;

## Overview

In this tutorial, you will get started with [Explore](/documentation/reference/explore-settings) by using [Panels](/documentation/reference/explore-settings#panel-types) to analyze telemetry data from a Low Earth Orbit (LEO) satellite. You will visualize Channels, build a flexible, [multi-Panel layout](/documentation/reference/explore-settings#layout), and learn how to share your analysis to collaborate with others.

## Prerequisites

* Import [this](https://drive.google.com/uc?export=download\&id=1FWTLYMzxRNRNUESuLgHWBU0HHJsfXlFk) CSV file (`leo.csv`) to Sift, creating a new Asset named `leo_satellite` and a Run named `leo_satellite_simulation`
  * If you are unsure how to import a CSV, see [Import a CSV](/documentation/ingest/data-import/import-data-from-a-file) for step by step instructions.

## Step 1: Open your data

Open your dataset in Explore:

1. From **Sift's** homepage (where the <Icon icon="stopwatch" /> **Runs** tab is already open), search for and select **leo\_satellite\_simulation**.
2. Click <Icon icon="arrow-up-right-from-square" /> **Explore**.

## Step 2: Build a multi-Panel layout

Panels let you visualize and analyze your data in Explore. Use a **Timeseries** Panel to view trends and a **Table** Panel to inspect values, then create a multi-Panel layout to better understand your data. Other Panel types are also available. See [Panels](/documentation/reference/explore-settings#panel-types).

1. Click the <Icon icon="chart-line" /> **Timeseries** Panel.
2. In the <Icon icon="wave-pulse" /> **Channels** tab, under the **EPS** section, click:
   * <Icon icon="hashtag" /> **Battery\_Current**
   * <Icon icon="hashtag" /> **Solar\_Array\_Current**
3. Click <Icon icon="plus" /> **Add**, then select <Icon icon="chart-line" /> **Timeseries**.
4. In the **Channels** tab, under the **Payload** section, click:
   * <Icon icon="hashtag" /> **Payload\_Power\_Draw**
5. Click <Icon icon="plus" /> **Add**, then select <Icon icon="table-list" /> **Table**.
6. In the **Channels** tab, under the **Comms** section, click the following Channels:
   * <Icon icon="hashtag" /> **Data\_Backlog**
   * <Icon icon="hashtag" /> **Downlink\_Data\_Rate**
   * <Icon icon="hashtag" /> **Downlink\_SNR**
   * <Icon icon="hashtag" /> **Tx\_Power**
7. Drag the **Table 1** tab to the bottom of the workspace.
8. Drag the **Timeseries 2** tab to the bottom right.

## Step 3: Share your workspace

Share your workspace to let others view the same Panels and layout:

1. Click <Icon icon="link" /> **Share**.
2. Click <Icon icon="copy" /> **Copy**.

## Conclusion

In this tutorial, you used Explore to build a multi-Panel layout to analyze telemetry data. You learned how to visualize Channels, use Panels to explore your data, and share your workspace to collaborate with others.