A project that I've been working on for a while now involves the use of Oracle Text, Oracle R Enterprise and Oracle Data Mining. Oracle Text comes with your Oracle Database licence. Oracle R Enterprise and Oracle Data Mining are part of the Oracle Advanced Analytics (extra cost) option.
What I will be doing over the course of 4 or maybe 5 blog posts is how these products can work together to help you gain (more...)
Did you read the title of this blog post! Read it again.
Yes, Yes, I know what you are saying, "SQL cannot produce graphics or charts and particularly not ggplot2 graphics".
You are correct to a certain extent. SQL is rubbish a creating graphics (and I'm being polite).
But with Oracle R Enterprise you can now produce graphics on your data using the embedded R execution feature of Oracle R Enterprise using SQL. In this (more...)
This is the fourth and last blog post in a series that looks at how you can examine the details of predicted clusters using Oracle Data Mining. In the previous blog posts I looked at how to use CLUSER_ID, CLUSTER_PROBABILITY and CLUSTER_SET.
In this blog post we will look at CLUSTER_DISTANCE. We can use the function to determine how close a record is to the centroid of the cluster. Perhaps we can use this to (more...)
I've recently come across the 'googleVis' R package. This allows you to create a variety of different (typical and standard) charts in R but with the look and feel of the charts we can get from a number of different Google sites.
I won't bore you with some examples in the post but I'll point you to a good tutorial on the various charts.
Here is the link to the mini-tutorial.
Before you can use (more...)
This is the third blog post on my series on examining the Clusters that were predicted by an Oracle Data Mining model. Check out the previous blog posts.
In the previous posts we were able to list the predicted cluster for each record in our data set. This is the cluster that the records belonged (more...)
This is the second blog post of my series on examining the clusters that are predicted for by an Oracle Data Mining model for your data. In my previous blog post I should you how to use CLUSTER_ID and CLUSTER_PROBABILITY functions. These are the core of what you will be used when working with clusters and automating the process.
In this blog post I will look at what details are used by the clustering (more...)
In a previous blog post
I gave some details of how you can examine some of the details behind a prediction made using a classification model. This seemed to spark a lot of interest. But before I come back to looking at classification prediction details and other information, this blog post is the first in a 4 part blog post on examining the details of Clusters, as identified by a cluster model created using Oracle (more...)
When building predictive models the data scientist can spend a large amount of time examining the models produced and how they work and perform on their hold out sample data sets. They do this to understand is the model gives a good general representation of the data and can identify/predict many different scenarios. When the "best" model has been selected then this is typically deployed is some sort of reporting environment, where a list is (more...)
Oracle Data Visualisation Desktop has the feature of being able to include some advanced analytics. In a previous blog post I showed you how to go about installing Oracle R Distribution on your desktop/client machine. This will allow you to make use of some of the advanced analytics features of Oracle Data Visualization Desktop.
The best way to get started with using the advanced analytics features of Oracle Data Visualization Desktop, is to ignore that (more...)
Oracle Data Visualization comes with all the typical features you have with Visual Analyzer that is part of BICS, DVCS and OBIEE.
An additional install you may want to do is to install the R language for Oracle Data Visualization Desktop. This is required to enable the Advanced Analytics feature of the tool.
After installing Data Visualisation Desktop when you open the Advanced Analytics section and try to add one of the Advanced Analytics graphing (more...)
Using Oracle Data Visualisation is just the same or very similar as to using the Cloud version of the tool.
In this blog post I will walk you through the steps you need to perform the first time you use the Oracle Data Visualization client tool and to quickly create some visualizations.
Step 1 - Create a Connection to your Oracle DB and Schema
After opening Oracle Data Visualisation client tool client on the Data (more...)
After a bit of a long wait Oracle have finally release Oracle Data Visualization for the desktop. The desktop version of this tool is only available for Windows desktops at the moment. I'm sure Oracle will be bringing out versions of other OS soon (I hope).
To get you hands on the Oracle Data Visualization to to the following OTN webpage (click on this image)
After downloading has finished, you can run the installer.
When you install R you also get a set of pre-compiled datasets. These are great for trying out many of the features that are available with R and all the new packages that are being produced on an almost daily basis.
The exact list of data sets available will depend on the version of R that you are using.
To get the list of available data sets in R you can run the following.
We have our next DAMA Ireland event/meeting coming up on the 5th May, and will be in our usual venue of Bank of Ireland, 1 Grand Canal Dock.
Our meeting will cover two topics. The main topic for the evening will be on Data Protection. We have Daragh O'Brien (MD of Castlebridge Associate) presenting on this. Daragh is also the Global Data Privacy Officer for DAMA International. He has also been invoked in contributing to (more...)
You have heard about the cloud? Right? Even the Oracle Cloud?
If you haven't, then maybe we need to look at how you can learn more about the Oracle Cloud.
Over the past while, and in the past few weeks in particular, Oracle has been advertising about how you can get a trail Oracle cloud service setup for FREE. Well it is free for one month when you set it up on the Oracle website (more...)
In this blog post I will show you the configurations that are necessary for RStudio Server to work with Oracle R Enterprise on your Oracle Database server. In theory if you have just installed ORE and then RStudio Server, everything should work, but if you encounter any issues then check out the following.
Before I get started make sure to check out my previous blog posts on installing R Studio Server. The first blog post (more...)
In a previous blog post I showed how you can install and get started with using RStudio on a server by using RStudio Server. My previous post showed how you could do that on the Oracle BigDataLite VM. On this VM everything was nicely scripted and set up for you. But when it comes to installing it on a different server, well things can be a bit different.
The purpose of this blog post is (more...)
A very popular tool for data scientists is RStudio. This tool allows you to interactively work with your R code, view the R console, the graphs and charts you create, manage the various objects and data frames you create, as well shaving easy access to the R help documentation. Basically it is a core everyday tool.
The typical approach is to have RStudio installed on your desktop or laptop. What this really means is that (more...)
Last week we had out OUG Ireland annual conference. Traditionally it has been a 1 day conference and in the past few years we have had an extra day where we had the likes of Tom Kyte (we miss you), Maria Colgan, etc give a full day seminar.
But over the past few years a few of the committee have been constantly asked about when we would have a second day of presentations (just like (more...)
Oracle R Enterprise comes with a vast array of features that not really documented anywhere. One of these features that I've recently found useful is the
The following code illustrates how you can records the values in an existing attributes or (more specifically in this example) how you can create a new attribute based on the values in another attribute.
The data set that I'm using is the White Wine data set (more...)