So far in this course, you have learned how to create dashboards using AI and natural language prompts.
In this lesson, you will learn how to:
-
Create dashboard pages and organize layouts
-
Customize card styling and results
-
Use Cypher queries for more control over data visualization
Before you start, make sure you have completed the previous lesson and have a dashboard with at least one card created.
Creating a new dashboard page
If you have not created any dashboards yet, you need to select Create from scratch to start building your first dashboard page.
Dashboard limit
If you have exceeded the dashboards limit for your tier, creating a new dashboard page will prompt you to upgrade your tier.
Either delete an existing dashboard or keep working on an existing dashboard.
To create a new dashboard page, go to the Dashboards menu and click on the New page button:
Give your dashboard a meaningful name, such as "Stakeholders view", or "Practice dashboard", and click Create.
Edit your dashboard’s name later by clicking on the title in the dashboard editor.
The name editor allows you to change the dashboard name at any time. Use a descriptive name that reflects the purpose of the dashboard for easier identification later on:
Customizing card styling
Once you have cards in your dashboard, customize their appearance to improve readability and visual appeal.
To change the styling of query results, click on the labels in the Results overview and adjust colors, sizes, and captions according to your preferences.
Using Cypher queries for card creation
In the previous module, you learned how to create cards using AI. For more control over data visualization, create cards using Cypher queries directly.
From your dashboard, click Add a card to open the card editor.
Use the card editor to define the card properties and paste your Cypher query into the Query field.
For example, create a card that shows which movies Tom Hanks has acted in:
MATCH (p:Person)-[r:ACTED_IN]->(m:Movie)
WHERE p.name = 'Tom Hanks'
RETURN p,r,mCheck your understanding
Creating a custom recommendation dashboard
You want to build a custom dashboard for your movie recommendation system with a specific layout for your content team. You don’t want to use AI-generated templates. Which option should you choose?
-
❏ Use a pre-defined template from the template library
-
✓ Use Create from scratch to start with an empty canvas
-
❏ Duplicate an existing dashboard and modify it
-
❏ Import a dashboard from another instance
Hint
The Create from scratch option allows you to start with a blank canvas, giving you full control over the layout, card placement, and content of your dashboard page. Use this option when you want to design a custom dashboard tailored to specific stakeholder needs.
Solution
Use Create from scratch to start with an empty canvas.
The Create from scratch option lets you design your dashboard from a blank canvas, giving you complete control over the layout and content. This option works well for building custom dashboards tailored to specific stakeholder groups (like your content team) with exactly the visualizations and layout you need for your movie recommendation insights.
Summary
In this lesson you learned how to create dashboard pages, organize layouts, and customize card styling. You also learned how to create cards using Cypher queries for more precise control over data visualization.
In the next lesson, you will learn how to visualize aggregated metrics from your movie recommendation data, such as ratings distributions, genre popularity, and actor collaboration patterns.