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Course Name: Building Data Visualisation with Neo4j Aura
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I may have reviewed the wrong parts.. Also, I still have module 4 left, but I figured I'd submit this for now.

:key-points: Aura dashboards, exploratory data analysis, data import and visualization, exploring relationships in data.

In this course you will learn about Aura Dashboards, a feature for visualising and exploring graph data directly within the Aura environment.
You will learn how to access Aura Dashboards, import and visualise data, create interactive dashboards using AI and Cypher queries, and share dashboards with others.
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You will learn how to access Aura Dashboards, import and visualise data, create interactive dashboards using AI and Cypher queries, and share dashboards with others.
You will learn how to access Aura Dashboards, import and visualize data, create interactive dashboards using AI and Cypher queries, and share dashboards with others.

In this course you will learn about Aura Dashboards, a feature for visualising and exploring graph data directly within the Aura environment.
You will learn how to access Aura Dashboards, import and visualise data, create interactive dashboards using AI and Cypher queries, and share dashboards with others.

You will explore the Aura Dashboards interface, learn about different visualization options for data representation, and discover the built-in tools for data exploration and visualisation.
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You will explore the Aura Dashboards interface, learn about different visualization options for data representation, and discover the built-in tools for data exploration and visualisation.
You will explore the Aura Dashboards interface, learn about different visualization options for data representation, and discover the built-in tools for data exploration and visualization.


You will explore the Aura Dashboards interface, learn about different visualization options for data representation, and discover the built-in tools for data exploration and visualisation.

This course will prepare you to visualise and understand the Neo4j databases in the cloud with confidence.
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This course will prepare you to visualise and understand the Neo4j databases in the cloud with confidence.
This course will prepare you to visualize and understand the Neo4j databases in the cloud with confidence.


== Prerequisites

Before starting this course, you should have a basic understanding of graph databases and some familiarity with Neo4j. If you are new to Neo4j, you can familiarize yourself with the database with the link:/courses/neo4j-fundamentals/[Neo4j Fundamentals course^], the link:/courses/aura-fundamentals/[Aura Fundamentals course^] and the link:/courses/cypher-fundamentals/[Cypher Fundamentals course^].
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Before starting this course, you should have a basic understanding of graph databases and some familiarity with Neo4j. If you are new to Neo4j, you can familiarize yourself with the database with the link:/courses/neo4j-fundamentals/[Neo4j Fundamentals course^], the link:/courses/aura-fundamentals/[Aura Fundamentals course^] and the link:/courses/cypher-fundamentals/[Cypher Fundamentals course^].
Before starting this course, you should have a basic understanding of graph databases and basic knowledge on Neo4j. If you are new to Neo4j, you can familiarize yourself with the database with the link:/courses/neo4j-fundamentals/[Neo4j Fundamentals course^], the link:/courses/aura-fundamentals/[Aura Fundamentals course^] and the link:/courses/cypher-fundamentals/[Cypher Fundamentals course^].

Just to avoid repetition.


== Understanding Data Visualization

Welcome to the Visualising Graph Data using Aura Dashboards Fundamentals course on GraphAcademy!
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Welcome to the Visualising Graph Data using Aura Dashboards Fundamentals course on GraphAcademy!
Welcome to the Visualizing Graph Data using Aura Dashboards Fundamentals course on GraphAcademy!


== Quick introduction

The **Explore** tool is a powerful interface for visualizing and exploring your graph data. It allows you to interact with your data in a more intuitive way, without needing to write Cypher queries. You can search for nodes and relationships, visualize them, and even edit the graph directly.
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IF you have write access to the db.


The **Explore** tool is a powerful interface for visualizing and exploring your graph data. It allows you to interact with your data in a more intuitive way, without needing to write Cypher queries. You can search for nodes and relationships, visualize them, and even edit the graph directly.

Before diving into the integrated Explore tool, note that you can also use link:https://explore.neo4j.io[Neo4j Bloom^]. You can connect to the instance using your credentials and connection URL and carry on from there.
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Before diving into the integrated Explore tool, note that you can also use link:https://explore.neo4j.io[Neo4j Bloom^]. You can connect to the instance using your credentials and connection URL and carry on from there.
Before diving into the integrated Explore tool, note that this functionality also exists as a standalone tool, link:https://bloom.neo4j.io[Neo4j Bloom^]. You can connect to the instance using your credentials and connection URL and carry on from there.

The original URL works too, but it seems weird to talk about it being called Bloom when the url says explore.


== Connecting

From the Aura console, either go to **Instances** and select the instance you want to connect to and use the **Connect** dropdown and select **Explore**, or directly to **Explore** and use the Connect button from there.
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Wouldn't it be better to use the same flow as in the section on Query? So either update that section to include the option to go directly to the tool and use the connection dropdown, or remove that option from here? For consistency.


* Customization is possible through the use of Perspectives and Scenes. This goes beyond mere styling and can include defined parametrized queries (3). Perspectives can be shared. This allows for a uniform experience in an organization.

* Whereas the **Query tool** is fit for maybe a few hundred nodes and relationships, **Explore** can easily manage thousands.
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* Whereas the **Query tool** is fit for maybe a few hundred nodes and relationships, **Explore** can easily manage thousands.
* Whereas the **Query tool**'s visualization is fit for maybe a few hundred nodes and relationships, **Explore** can easily manage thousands.

I think it's important to call that out. Query 's primary function is not to visualize.

@@ -0,0 +1,20 @@
[.question]
= Purpose of the explore tool
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= Purpose of the explore tool
= Purpose of the Explore tool

and accordingly below

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I may have reviewed the wrong parts.. Also, I still have module 4 left, but I figured I'd submit this for now.

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