❔ 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 - Neo4j Dashboard Builder
NeoDash is an open source tool for visualizing your Neo4j data. It lets you group visualizations together as dashboards, and allow for interactions between reports.
Neodash supports presenting your data as tables, graphs, bar charts, line charts, maps and more. It contains a Cypher editor to directly write the Cypher queries that populate the reports. You can save dashboards to your database, and share them with others.
Try NeoDash
You can run NeoDash in one of three ways:
- You can install NeoDash into Neo4j Desktop from the graph app gallery. NeoDash will automatically connect to your active database.
- You can run NeoDash from a web browser by visiting http://neodash.graphapp.io.
- For on-prem deployments, you can build the application yourself, or pull the latest Docker image from Docker Hub.
# Run the application on http://localhost:5005
docker pull neo4jlabs/neodash:latest
docker run -it --rm -p 5005:5005 neo4jlabs/neodash
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