Data Interpretation GRE is different from regular Data Interpretation (DI). Mastering this section requires some special skills.
Moreover, if you are new to GRE prep, you need to learn what GRE Data Interpretation is? its importance, data interpretation GRE tips and tricks to attain a higher score in GRE Quant section.
In recent years, most of the GRE test-takers are from engineering background. After doing several complex mathematics models for four years, they can easily tackle the questions based on algebra concepts.
However, coming to the case of DI or geometry, most of them are unable to tackle the GRE data interpretation. This is due to lack of proper practice.
Does GRE Data Interpretation requires more focus?
The GRE data interpretation is highly important if you want to score 160+ in GRE Quant section.
Spend enough time to learn and practice GRE DI as it holds a minimum of 4 to 5 questions in each of the quant sections. Therefore, the DI weighs 20% in the GRE quant section.
Most of us aware of this popular Idiom, “A picture can express something more clearly or succinctly than words can,” which means a picture can worth more than thousands of words and a graph worth more.
DI in GRE is the ability to effectively visualize data to present it in a clear way, thus making a sense for it. You will get a set of questions on the GRE DI in each GRE section.
However, each DI GRE set consists of one information source and three questions. Furthermore, it is visualizing the data in some graphical forms.
However, GRE DI questions are grouped referring the same graph. Not only graph, it may be a table or any type of representation to present the data.
Indeed, these questions assess your ability to interpret the given data. This involves multiple-choice or Numeric Entries.
Now let’s have a look on importance of GRE DI and some proven tips to ace these questions in the GRE test.
Why GRE Data Interpretation is critical?
Data Interpretation GRE measures your understanding skills and visualizing data especially in more complex manner.
It helps to score high and get admission in a graduate school abroad where complicated data is given.
The DI GRE does not need understanding of the academically complex math concepts required to master the GRE parts.
However, if done appropriately, DI GRE is an effective way of presenting information clearly, saving thousands of words to explain something.
The data interpretation GRE helps you excel in how to visualize information in a short time-span. But, the chances of occurring errors also increase.
However, there is no defined formula to apply on this, rather depending on the wits. Don’t forget it is the central point where GRE measures your interpretational skills.
If your aim is attaining a score of 160+ in the quant section of the GRE, you need to spend enough time learning and practising GRE data interpretation. You can expect a maximum of 4 to 5 in each quant section.
GRE Data Interpreted Questions
Before moving to learn how effectively answer the DI questions, you must understand what you’re getting into.
Remember that the GRE data interpretation questions come in more than one form.
It is an ideal method of learning them thus avoiding any surprises on the test day. Furthermore, confidence is the best way to approach the questions.
Now let’s look on various GRE Data Interpretations
GRE Data Interpretation: Pie Charts
Circular shaped graphs are those which are classified into distinct sectors and represents numerical proportions.
The central angle in a pie chart is proportional to the quantity of representation.
A pie chart in particular is a resemblence of a pie in which a circle is divided into distinct sized sectors from the center to the boundary.
Furthermore, the proportion of a section depends on how big the sector is.
GRE Data Interpretation: Bar Graphs
A bar chart is a way of representing data in rectangular bars.
The lengths and heights of these bar graphs are proportional to the data values.
The bar graph is of two types: the horizontal bar graph and the vertical bar graph.
The length of the bar is dependent on the value. However, it is mostly useful to compare distinct data sets between various groups.
GRE Data Interpretation: Line Graphs
A line graph is one in GRE DI used to visualize value over a certain point of time.
It helps to change over time as distinct data points connected on two axes by straight lines.
It helps to determine the relationship between two sets of values where one data set is dependent on the other.
GRE Data Interpretation: Tables
The data in a table is described in the form of columns and rows.
In GRE DI table’s questions, you should read data from the table to analyze and answer the questions given based on the given data. Indeed, these questions are regular in competitive exams.
In addition to these questions, the other methods includes the best-fit lines, box plots, histograms and charts of numerical data were also asked.
However, these are much more important when compared with the above mentioned GRE Data Interpretation questions.
Common mistakes appears in GRE Data Interpretation
Being one of the toughest question types, proper time management is highly essential to achieve a good score in GRE quant section.
As the GRE DI questions require lots of calculations, consumes time.
To avoid last-minute rush and leaving questions unanswered, manage time efficiently.
Data misinterpretation due to overconfidence/ Impatience:
This is one of the most common mistakes that most of the students commence with.
Misinterpreting data due to impatience of overconfidence may lead to losing marks and pulls back your chances of achieving a high quant score.
While you are answering the GRE DI, first understand the details of the question properly. Don’t overlook any detail while answering.
Lack of Practice:
This is an ever-green tip to excel in any standard or competitive test.
Lack of practice results in a low GRE Quant score as it takes more time to understand the question and to answer the question.
Furthermore, target your weak areas during the practice first.
To avoid the above mistakes and to answer the GRE DI questions accurately, here are some tips to follow:
Data Interpretation Gre Tips and Tricks
However, mastering the GRE DI concepts alone is not enough to acquire a good GRE score.
Here are some major tips and tricks to master GRE Data Interpretation.
1) Scan the presentation of data:
Understand what the data is about but don’t spend all their time studying the information.
Proper understanding helps you get an idea about what the data about and how to present it in a unique way.
2) Understand with measurements:
It is essential to understand the scale and axes of graphs to the measurement units or magnitude orders.
You can mention axes in the titles, legends, labels to any notes of data clarity.
Moreover, before you do anything, take a minute to review the graphs and make mental notes of what information is being displayed on the X and Y-axis.
Once you’ve done that, read any information provided below the graph(s).
This won’t take a lot of effort, but taking a minute to put the pieces of the big picture together to make you far more effective when referring back to the graphs.
3) Review graphs:
Proper graphs review helps you in making the mental notes of the information that is being displayed on the X and Y-axis.
Properly read the information provided below the graph(s). However, it won’t require much effort to combine these pieces to make a big picture.
Furthermore, it is far more effective to refer back to the graphs.
4) Make use of graphs:
This is more crucial when you deal with graphical representations.
However, when you come across graphical data presentations such as line graphs and bar graphs.
They can be represented with scales, learn reading, comparing, or estimating quantities by sights by measurements based on the corresponding scales.
5) Answer the questions:
Based on the data presented, answer the questions using everyday facts and your mathematics knowledge.
However, do not use specialized information.
You may recall from distinct sources about a specific context. As the questions are based on these contexts until the information can be derived from the data presented.
6) Identify the Relationships:
Make it a habit to identify the relationships between distinct variables when reading the graphs, charts or figures.
However, practising the strategies of identifying relationships helps you a lot in real-time. It is highly helpful during the test especially in the quant section.
7) Don’t just rush through GRE data interpretation questions:
This is one of the major tips to remember. You should allow time to master the GRE Data Interpretation questions rather math questions.
Furthermore, ensure that you know the numbers involved in your calculations.
Hence, make sure you are spending a lot of time practicing the GRE Data Interpretation question.
Furthermore, all data interpretation sets will catch you mixing up percentage with the actual total.