 Are you looking for a tool to trace educational data set? If yes, you are on right track. I am introducing interactive stratified attribute tracking system. This is the interface of iFET. iFET assists learning analytics and academic decision making by enabling the visualization of translation pattern in educational data set. So, iFET can be useful for researchers and for the instructor. You can see here how researchers have used iFET to explain pattern in their data and interpret it from the perspective of their research context. On the other hand, the instructor can use to understand the dynamic of class of students and their activities from the data collected in their own teaching learning context. Now come to the structure part of the iFET. This is a visual representation to highlight transition in data set which involves phrases, strata, translation and main bar and sub bar. From here, we go deeper into the section of analyzing the data. After knowing about iFET, let's do our hands dirty with iFET. Suppose you are an instructor of a class strength 40 and you have taken pre-test and post-test before and after teaching certain concept. Here, marks are converted into performance level like fail if marks are less than 33, low between 33 to 50, medium between 51 to 75, high ever 76. Now, you want to see how many students who failed in pre-test and perform better in post-test. For this, first, we will convert our file into CSV format as iFET takes only CSV format file. As we have converted file into CSV format, we will upload this file into iFET tune. After uploading file, this type of pattern will show up. Here, two attributes that is pre-test and post-test are considered as phases and represented by columns. These four are stratums indicate a group within a phase and represented by different colors. Transition are linked that traces the migration of the group across the phases. Basically, iFET has two modes. First, overview mode. This is how overview mode look like and show the total transition. To answer our question, we will move to the second mode that is exploration mode. After clicking on the failed stratum, we will clearly see that in pre-test phase four students were failed and these four students perform better in such a manner that two students score low marks whereas two students score medium marks. Thank you.