Topics to cover in Data Interpretation to score 99 percentile – There will be around 30 to 35 questions (MCQs and non-MCQs combined) from the Data Interpretation and Logical Reasoning section in CAT 2017. Knowing topics that comprise the syllabus of this section is helpful in preparing better to score high. With just a month to go for the entrance exam, it is understandable that students would want to be selective in their study and revision. Students wondering about topics to cover in DI to score 99 percentile can look at them below. Those looking at the DILR section as a way to score high in the test must take a good look at these and practice questions based on them. Given below is a list of topics to cover in DI to score 99 percentile in CAT 2017.
Data Charts: Data charts come in multiple forms. They can be histograms with tabular frequencies displayed as adjacent triangles erected over discrete intervals. They can be bubble charts with two-dimensional scatterplots containing a third variable as well, the same being represented by the size of the points. A lot of questions follow tree maps and steamgraphs, which are curvilinear area graphs placed around a central axis. Data charts also include Gap Charts covering gaps and equalities between series. Candidates must practice these to master data charts, a prominent topic for those interested in knowing those topics to cover in data interpretation to score 99 percentile.
Data Analysis: Data analysis involves inspecting, cleansing, transforming and modeling data with the purpose behind it being finding useful information. Data mining is also a part of data analysis, whose primary focus is on modeling and knowledge discovery to predict. Candidates must tackle questions during preparation related to topics such as business intelligence, descriptive analysis, exploratory data and data integration if they are to master data analysis and answer questions successfully based on this. All of these must be practiced, categorically by those obsessed with knowing the topics to cover in data interpretation to score 99 percentile.
Venn Diagrams: These show every possible logical relation between a finite collection of different sets. They are very useful while teaching elemental set theory and also help illustrate simple set relationships in statistics, logic, probability and computer science. Candidates preparing for CAT 2017 must practice questions based on scaled venn diagrams and area proportional venn diagrams to become experts in analyzing sets and set relationships. These are mandatory for practice especially for those motivated to know which topics to cover in data interpretation to score 99 percentile.
Pie Charts: Pie charts are known to show percentage values as a slice of a pie. These are circular statistical graphics divided into slices to illustrate numerical proportions. In these, the arc length of every slice is proportional to the quantity represented by it. These must be practiced come what may and ought to be included in the list of which topics to cover in data interpretation to score 99 percentile if one is to really do well in this section. Without practicing pie charts and knowing how to decipher data shown through them, it will be a humungous task for candidates taking CAT 2017 to score 99 percentile in the section.
Line Graphs: Line graphs are two-dimensional scatterplots of ordered observations, the observations being connected as per their order. These are said to be modified versions of bar graphs, in the sense that upper points of two adjacent bars of a bar graph are connected and the result of it is a line. If the procedure were to be repeated with the other bars too, the result is a line graph representation. Line graphs must be practiced in case candidates curious to know which topics to cover in data interpretation to score 99 percentile are to actually do what remains elusive to most. If previous years’ CAT question papers are to be looked at, then one can easily observe that there have been questions in the DILR section on line graphs.
Bar Graphs: Bar graphs are charts with rectangular bars. Their best use lies in displaying data using bars of different heights. The bars have lengths proportional to the values they represent. They can be both vertical and horizontal. Candidates preparing for CAT 2017 must practice vertical bar graphs to understand how two or more independent variables can be compared. They must also practice horizontal bar graphs to understand how data having both negative and positive values can be used to compare two or more fixed independent variables. This remains most pivotal to those willing to know which topics to cover in data interpretation to score 99 percentile.
The topics mentioned above are the ones out of which majority of the questions in the DILR section of CAT 2017 will be based on. Candidates worried about knowing which topics to cover in data interpretation to score 99 percentile can take respite and start practicing questions on these immediately.
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