- How To Data Mining Add In For Excel 2016 Mac Add Ins
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The textbook uses XLMiner software throughout. Here’s how to get it for your course.
This add-in for Excel provides a full-blown data mining capability with data preparation tools, support for times series analysis and visualisation tools. The techniques used by the add-in include regression (logistic and linear), Bayes classifier, association rules, neural nets, classification and regression trees, clustering, principal. Download and install the Data Mining Add-In for Microsoft Excel from here. Once installed, open Excel and the add-in should look as shown below. This add-in provides most of the capabilities available in SSDT to work with Data Mining. . In the field Operator cell select “Greater than or equal to.” Then type 50000 in the “Value” cell. Click “Edit Fields” to add additional fields to the results table.
For Instructors: Setting Up the Course Code
To set up a course code for your course, please email Frontline Systems at academic@solver.com, or call 775-831-0300, press 0, and ask for the Academic Coordinator. Course codes MUST be renewed each semester.
The course code is free, and it can usually be issued within 24 to 48 hours (often the same day). It will enable your students to download and install XLMiner® for Education with a 140 day license, and will enable Frontline Systems to assist students with installation, and provide technical support to you during the course.
Please give the course code, plus the instructions below, to your students. If you’re evaluating the book for adoption, you can use the course code yourself to download and install the software as described below.
For Students: Installing XLMiner® for Education
1) To download and install XLMiner® for Education from Frontline Systems, to work with Microsoft Excel® for Windows, please visit: www.solver.com/xlminer-textbook-license
2) Fill out the registration form on this page, supplying your name, school, email address (key information will be sent to this address), Course Code (obtain this from your instructor), and Textbook Code (enter SDMBI3).
3) On the download page, change 32-bit to 64-bit ONLY if you’ve confirmed that you have 64-bit Excel® (see below). Click the Download Now button, and save the downloaded file (SolverSetup.exe or SolverSetup64.exe).
4) Close any Excel® windows you have open.
5) Run SolverSetup/SolverSetup64 to install the software. When prompted, enter the installation password and the license activation code contained in the email sent to the address you entered on the form above. If you have problems downloading or installing, please email support@solver.com or call 775-831-0300 and press 4 (tech support). Say that you have XLMiner® for Education, and have your course code and textbook code available.
If you have problems setting up or solving your model, or interpreting the results, please ask your instructor for assistance. Frontline Systems cannot help you with homework problems.
• If you purchase this textbook but you aren’t enrolled in a course, call 775-831-0300 and press 0 for assistance with the software.
• If you purchased the e-book edition, contact support@solver.com with some form of ‘proof of purchase’, and mention the book title ('Data Mining for Business Intelligence' or 'Data Mining for Business Analytics').
• For Excel® 2007, always download SolverSetup. In Excel® 2010, choose File > Help and look in the lower right. In Excel® 2013 and Excel® 2016, choose File > Account > About Excel® and look at the top of the dialog. Download SolverSetup64 ONLY if you see ‘‘64-bit’’ displayed.
Excel at Data Mining – How to Detect Categories
Today, I’m going to show you how to detect categories in your data in less than 5 minutes with the Microsoft Excel data mining add-in. The assumption of this post is that you have already installed the data mining add-in for Excel and configured the add-in to be pointed at an instance of SQL Server with Analysis Services to which you have access rights.
For the example, we will be using a tutorial spreadsheet that can be found on Codeplex at:
You will also need to attach the AdventureworksDW2012 data file to SQL Server which can be downloaded here:
Our goal is to uncovered hidden categories or clusterings in our data.
Read below if you are unable to view the video walkthrough.
Step 1: Detecting Categories
First, a cell within a defined excel table must be selected. Click on a table cell on the Table Analysis Tools Sample tab. Then, we go to the Table Tools Analyze tab, the Table Analysis Tools group, and select the Detect Categories icon to open the Detect Categories wizard. From here, we need to select columns we wish to consider in our cluster analysis.
We will unselect ID and leave the rest of the options in default and click Run.
Step 2: Reading the Categories Report
So what the analysis is doing is going over the data and looking for clusters or rows that have similar characteristics across all the columns that we selected earlier.
After the tool is finished running, you will move over to a new tab, but let’s go back to our original tab with the data table.
We can see that a new column has been added to the worksheet that categorizes every single row in our dataset. However, the categories are not very descriptive in and of themselves. Click on the worksheet called Categories Report. Instead of us having to filter each category and try to get an idea of each category’s demographics, we have this nice report that summarizes a lot of information about all of our categories.
The first section is a basic histogram of the data and gives us an idea of how the rows are distributes in each category.
How To Data Mining Add In For Excel 2016 Mac Add Ins
The next section is called Category Characteristics, and this one gives us an idea of what defines a particular category. Each column is also ranked according to it’s importance for that category or cluster.
From here, we can see that Category 1 is mostly defined by a very low income, but also tends to have people in Europe. We can change the filter above the category to see another category or multiple categories at once.
The third section is called Category Profiles. This takes a column and then shows the of each category in that column.
What we see here is that column Cars has been selected and each category has a stacked bar breakdown of the Cars column. We can easily see that Category 3 is dominated by people with 0 cars and that Category 4 doesn’t have any people with 0 cars. In the bottom left hand corner, you can filter to whichever column or category you want to look at.
And that is how you can detect categories in your data in less than five minutes using the Microsoft Excel data mining add-in.
Happy digging!
How To Data Mining Add In For Excel 2016 Mac Torrent
Billy Decker
Billy Decker is a consultant at StatSlice Systems. He graduated with a dual degree in Physics and Mathematics from the University of Texas at Austin and received his Masters Degree in Physics from the University of Texas at Arlington. He previously worked for Global Technical Services as a Senior Training Analyst and Bell Hellicopter as an Instructional Designer. His technical experience includes, but is not limited to, SQL, SAP, Business Objects, QlikView, and Sharepoint.
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