I would like to have only 1 region which should be able to generate more than 1 graphs.
I will have different queries for graphs in table. I will be writing only select statement. based on this, I should be able to generate graphs.
You could define the number of graphs your require at design time, then show/hide the relevant graphs using dynamic actions.
Related
I have installed R in power-bi desktop application which automatically imports various visualization charts in power-bi app. Among them, I want to use correlation-plot but its rendering blank chart.
Detailed description is given below:
Problem Statement: I want to render correlation-plot among actual_qty(from table d_masters) and cp, cpk(from table m_data), Refer inline images for better understanding (Blurred out some part of sensitive data in images).
Database used: Azure SQL
Query Mode: Direct query
Relationships among SQL tables are shown below:
I am able to render correlation-plot using single table(correlation between cp and cpk from table 'm_data'). Graph and exported data from correlation plot are given below:
When I select multiple tables which have many to many relationships based on foreign-key then it won't render correlation-plot. Also if I export correlation-plot data then it gives valid data but doesn't render correlation-plot.
Please guide me what else I need to do. Thanks in advance!
Please check you table relation is correct .
1) one to many
2) many to many
I am trying to code a graph that plots a curve based on an equation. The goal is to allow the user to enter as many (editable) numeric values as they would like in a GUI that would then plot the graph on the same scene.
I am currently using multiple TextField() and looking into using a table view but it does not seem to be the answer.
Is there another possibility other then TextFields or table view that would allow the user to enter possibly unlimited amounts of data?
Try a ScatterChart. You have to define the axes and the collection of value-pairs (usually done in an ObservableList).
I'm building a system which allows the user to call N number of different graphs through an API. Currently I have a working prototype which pulls graphs from CouchDB. However, for obvious reasons, I would like to move to a graph DB. My understanding is that Neo4J can only handle one graph at a time or requires so sort of tagging system to not mix graphs. Neither of those approaches seem optimal. What's the best practice approach for this?
A few more things to note: I will be calling these graphs and manipulating them with something like networkx, and I've considered storing the graphs in a "regular" DB then moving them to Neo4J as the requests come in, which seems pretty intense.
Neo4j does not have a concept of multiple databaseslike most relational databases do using CREATE DATABASE. In Neo4j there is one graph space which you can use.
So you have 2 options:
use seperate Neo4j instances (single or clustered) for each graph, maybe using Neo4j in embedded mode is helpful here
use one Neo4j instance (single or clustered) and store your data in distinct subgraphs. If the subgraphs need some interconnections you can use labels to identify to which subgraph a certain node belongs.
I am thinking of using neo4j to store a graph database. My data basically consists of a hierarchy of rectangular regions with fixed coordinates: the top node has R rectangles in it, each of those has Q rectangles in it, and so on. The regions do not form a rectangular subdivision. Since I have a lot of data, I would like to be able to present an interface where a user can click on a particular rectangle to see its substructures in more detail, and then be able to click on one of those rectangles to show more detail, and so on. My application would be sort of like Google Maps, where more detailed layers get loaded as a user zooms in. I was thinking of generating tiles to serve to OpenLayers or Leaflet for display, but my data has a graph structure that I would like to take advantage of, and I think using neo4j (possibly in combination with a visualization library like d3.js) may be an easier way to build my tool.
I have these questions about neo4j and the ability to visualize its data:
Can data in neo4j be organized into different layers corresponding to different levels of detail?
Can neo4j display nodes as rectangles with fixed coordinates on a 2D plane? Can these rectangles be selectable / "zoomable"?
I know neo4j has a default web interface for showing nodes but I'd like to know how customizable this is before committing a lot of time to it. The TreeMap example at https://github.com/mbostock/d3/wiki/Gallery sort of looks like what I want, but I'd like to show more detailed structure in regions that users select.
I have an application that stores relationship information in a MySQL table (contact_id, other_contact_id, strength, recorded_at). This is fine if all I need to do is show who a contact's relationships are or even to generate a list of mutual contacts for two contacts.
But now I need to generate stats like: 'what was the total number of 2-way connections of strength 3 or better in January 2011' or (assuming that each contact is part of a group) 'which group has the most number of connections to other groups' etc.
I quickly found that the SQL for generating these stats became unwieldy real fast.
So I wrote a script that for any given date it will generate a graph in memory. I could then run whatever stat I wanted against that graph. Much easier to understand and in general, much more performant also -- except for the generating the graph part.
My next thought was to cache those graphs so I could call on them whenever I needed to run a new stat (or generate a later graph: eg for today's graph I take yesterday's graph and apply any changes that happened since yesterday). I tried memcached which worked great until the graphs grew > 1 MB.
So now I'm thinking about using a graph database like Neo4J.
Only problem is, I don't have just one graph. Or I do, but it is one that changes over time and I need to be able to query it with different reference times.
So, can I:
store multiple graphs in Neo4J and rertrieve/interact with them separately? i would then create and store separate social graphs for each date.
or
add valid to and from timestamps to each edge and filter the graph appropriately: so if i wanted a graph for "May 1st" i would only follow the newest edge between two noeds that was created before "May 1st" (and if all the edges were created after May 1st then those nodes wouldn't be connected).
I'm pretty new to graph databases so any help/pointers/hints will be appreciated.
Right now you can store just one graph database in a single Neo4j instance, but this one graphdb can contain as many different sub-graphs as you like. You only have to keep that in mind when doing global operations (like index queries) but there you can do compound queries that include timestamped properties as well to limit the results.
One way of doing that is, as you said adding temporal information to edges to represent the structure of a graph for a given date you can then traverse the structure of the graph back then.
Reference node has a different meaning in Neo4j.
Using category nodes per day (and linking them and also aggregating them for higher level timespans) is the more graphy way of categorizing nodes than indexed properties. (Effectively these are in-graph indices that you can easily include in your traversals and graph queries).
You don't have to duplicate the nodes as long as you are only interested in different temporal structures. If your nodes are also different (e.g. changing properties, you could either duplicate them, and so effectively creating different subgraphs) or create a connected list of history nodes on each node that contain just the changes (or the full snapshot depending on your requirements).
Your domain sounds very fitting for the graph database. If you have more and detailed questions feel free to join the Neo4j mailing list.
Not the easiest solution (I'm assuming you only work with one machine), but if you really want to separate your graphs, you only need to remember that a graph is a directory.
You can then create a dynamic loader class which takes the path of the database you want, load it in memory for the query, and close it after you getting your answer. You could also configure a proxy server, and send 2 parameters to your loader: your query (which I presume is a cypher query in this case) and the path of the database you want to query.
This is not adequate if you have tons of real-time queries to answer. But if it is simply for storing and doing some analytics over data sets, it can definitly answer your needs.
This is an old question, but starting with Neo4j 4.x, multi-tenancy is supported and you can have different databases within the same Neo4j server (with distinct RBAC permissions).