❔ About
In the previous post you could follow a live Story Telling about how we implemented a cartopgraphy for our information system :
🧰 Tooling and NeoDash 2.0
Within some slides you may have discovered some appealing visuals.
These visuals for some of them have been made with Neodash.
👨🎓 What you'll learn
We have started to use NeoDash to deliver with ease ready-to-use portals and dashboards, some with forms.
With this demo, you'll learn how to, on an initial totally empty Neo4J instance, then "from scratch", and within less than 30', how to
- Load
csvData - Install
NeoDash - Launch
NeoDash - Create a new Dashboard from scratch
- Create new visualizations
- Put rich static content with the Markdown component
- Add Schema visualisation (as a component)
- Add a Single value Scorecard component
- Add a Graph component
- Enjoy a Short Data Storytelling
- Add a Table component
- Add a Bar chart component
- Add a Piechart component
- Use filters
- Export/Import Dashboards
- Put some data-driven style on a table
- Put some data-driven style on a Piechart
🍿 Demo
🙏 Acknowledgements
Special thanks to Pipiena Luaki for its Data Storytelling skills and creating awesome visualizations on top of our data on a daily basis.
🔖 Resources
neo4j-labs
/
neodash
NeoDash - a Dashboard Builder for Neo4j
NeoDash Labs
NeoDash is a dashboard builder for Neo4j, letting you build a graph dashboard in minutes.
This project is no longer maintained, use at your own risk.
If you'd like to continue building dashboards, you have the following options:
- For the best experience, upgrade to Dashboards in the Neo4j Console (free for everyone).
- If you'd like to keep using NeoDash for free, you can fork this repository and run NeoDash yourself.
- If you're in need of a supported version of NeoDash, you can purchase a NeoDash commercial license together with a Neo4j Enterprise license.
Top comments (3)
Some cool features just delivered on
v2.1.5Noticed by Neo4J :
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This Week in Neo4j: New GraphAcademy Course, Road to NODES Workshops, Link Prediction Pipelines, Graph Native Storage, and More FEATURED NODES SPEAKER: Dagmar Waltemath Using the examples of COVID-19 data and data from health studies in epidemiology, Dagmar showcases a knowledge graph integrating mu