XLSTAT CLUSTER ANALYSIS SOFTWARE
XLSTAT CLUSTER ANALYSIS TRIAL

Clusters must vary, and at least one method shouldnвЂ™t be вЂњjust stripes,вЂќ e.g. Data process and data product both discussed, particularly for Method 5. Maximum 5 points total if your variables are not quantitative! You must have two quantitative variables!ДЎ5 points: at least 5 different scatter plot graphs, all using the same basic variables (Step 1) but different clustering choices (Step 3). Who are these groups? What does this clustering tell us about the people in Oregon?В How could a business or entrepreneur use their understanding of this clustering story to further their goals? Tell your story using your preferred clustering method, and how the clustering supports that story.

XLSTAT CLUSTER ANALYSIS SOFTWARE

You may choose to use your XLSTAT output or use Tableau/other software to make a prettier graph. Step 4: Write up your project! Which clustering method out of the five did you prefer? Why?ДЇor your final report, compare and contrast each of the five clustering methods. For example, it would be a bad idea to use white or both red and red-orange.

Under the colors tab, use whatever colors you would like, but be sure they are bold and distinct.

*Scatterplots will have to be created separately using the Results by Object output. Step 3: Use different options in the software to create 5 different вЂњdata storiesвЂќ: if youвЂ™re overwhelmed about what to pick, you can use these options: Click on the XLSTAT tab on the top of your Excel sheet. This will save time later when you go to plot your clusters.ДЇor the following steps, be sure that you have installed the XLSTAT add-in. Next, remove any rows with missing observations. I prefer to do this so that I am not overwhelmed by variables that I am not using. Copy and paste your two variables and their corresponding sampled data (there should be 400 rows of data, two columns) into a new sheet. Step 2: Choose two QUANTITATIVE variables that you would like to work with. Check out:В Simple Random Sampling in XLSTATВ alternatively there are several tutorials online for taking a random sample with regular excel. Lucky for us, XLSTAT is quite good at taking a random sample. Note that вЂњWeight,вЂќ just like last time in project 1, is probably not what you think it is! IвЂ™m not forbidding вЂњweightвЂќ but realize youвЂ™ll have to do a bunch of research about what вЂњweightвЂќ is in order to write about it well and get credit! You will take a small subset of this data (I recommend n=400, so as not to upset XLSTAT too much: some clustering algorithms grind to a halt with large data sets). If you donвЂ™t have a data set of your own youвЂ™d like to explore, I recommend taking a random subset of the OregonPUMS_data. You will begin by opening a small data set. Please relax into it and have some fun with the process: think of it as an exploration.

XLSTAT CLUSTER ANALYSIS TRIAL

Please noteВ this project will likely take some trial and error. Your вЂњstoryвЂќ will be an explanation of your data that highlights some interesting feature(s) or makes a point about the data. IвЂ™m asking you to divide the Oregonians in your sample into groups or clusters based onВ two quantitativeВ variables. For this project, weвЂ™re going to use cluster analysis to вЂњtell a storyвЂќ about our data.

Xlstat cluster analysis