You can embed charts and dashboards using iframes. Plus, people who don’t know SQL can duplicate your question and use it as a starting point for another question. With custom expressions, you can accomplish pretty much anything you’d be able to do with SQL: join tables, create custom columns, filter and group results, compare time series, and more. For a quick walkthrough, check out Getting started with Metabase.Ĭustom questions: Compose more sophisticated questions using the notebook editor. Simple questions: Affectionately known as “chill mode”, here you can use the query builder to filter and summarize data. The first two ways, simple and custom questions, use a graphical user interface (GUI). There are three ways to ask questions: simple, custom, and native queries. And once you’ve connected your data sources, Metabase gives you a lot of tools to explore them. Metabase supports a lot of different databases, and ships with a Sample Dataset for you to play around with. Informe de verificación de sostenibilidad regulados en el Real Decreto 1597/2011.Sistema Nacional de Verificación de Sostenibilidad.Some style properties of the visualization can be overridden by passing in extra parameters to your Cypher query. Any query returning nodes, relationships, or paths can be visualized as a graph, NeoDash will automatically pick up these results from your Cypher query.ĭoing some exploration? Clicking a node will show all properties of that node. In NeoDash, you’ll be able to visualize your graph similar to how the Neo4j browser would, selecting a node color and parameter for the graph layout. Graph Visualizationsįor almost all use cases, a force-directed graph visualization is your go-to report type. The current version of NeoDash supports five types of data reports:Īs a sixth (informative) report type, there is the option to add markdown text. The image below contains an example of four reports fitting together. When reordered, reports try to fit together to fill available space. Reports sit together in a responsive grid layout, allowing them to be resized and moved around. For each report, you specify a single Cypher query - the results of which will populate the report. Creating Your Dashboardĭashboards consist of a variable number of reports (cards) that run independently. Want to restrict the type of queries in your reports to read-only? Create a read-only Neo4j user and use those credentials to connect. NeoDash works with all flavors of Neo4j: Desktop, Neo4j Aura, clusters, and single instances. When first starting up the application, you are prompted to connect to your Neo4j database (NeoDash will automatically connect to your active database if you’re using Neo4j Desktop.) The Neo4j JavaScript driver then uses your specified connection to run queries and populate your reports. Alternatively, you can try out the demo here. If you’re using Neo4j Desktop, you can install NeoDash from the Graph App Gallery. Next, I’ll also explain how you can save and store dashboards with your Neo4j projects. First, I’ll provide a summary of the main features and visualizations. This post will give a quick run-through on how to get started with building your own NeoDash dashboards. For easy storage and version control, dashboards can be exported as JSON files. It supports a variety of reports that natively work with Neo4j data types. NeoDash is a lightweight web app that hooks directly into Neo4j, letting you build a front-end without touching any code. Enter NeoDash, a tool that allows you to build a dashboard in minutes. In many cases, however, I’m looking for something that allows me to quickly prototype a dashboard with a direct database connection. Fortunately, a ton of tools exist to make the life of a Neo4j front-end developer easier (great examples are the GrandStack and Neode). Working at Neo4j, I frequently build front-end applications that use graph data.
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