You can read this GMAT post about this distinction. If we want to show more complicated data, we might use segmented bars or side-by-side bars. For example, this bar chart indicates that Africa has considerably more area than North America, a conclusion not self-evident from a Mercator Projection map of the world. The scale of some numerical variable is parallel to the bars, and the purpose of the graph is to compare the numerical values of the elements represented by different bars.įor example, in this bar chart, each bar is a particular continent, and the length of the bar, measured against the horizontal scale, indicates the area of the continents. In a bar chart, each bar represents a different item or group. a “column” chart) this choice is more a matter of artistic preference in display, but it’s not meaningful for the data. First of all, on a bar chart, there’s no particularly important difference whether the bars go horizontal or vertical (a.k.a. I will say a few words here about bar charts vs. Scatterplots and boxplots are somewhat less well-known, and each has its own blog giving more detail there’s also an example of a scatterplot below, in Set #4. Of these, pie charts and line charts and charts of numerical data are probably self-explanatory, and there are examples below (pie chart & bar chart in Set #1, line chart in Set #2). (f) histograms ( which are different from bar charts!!) The GRE Data Interpretation will present information in any one of a number of visual formats. The whole point of graphs is to make information easy to see! What You Need to Know for GRE Data Interpretation Spend enough time with each to understand its “story.”ĭespite appearances, the GRE Data Interpretation questions are usually relatively easy compared to the rest of the questions on the Quant section. Spend time studying them: each graph, each chart, has a “story” to tell. Most newspapers and news magazines are stuffed to the guppers with graphs & charts. Look in the financial news, in scientific articles, and in international news in general. Here’s one big suggestion for GRE Data Interpretation: if you are not a geeky math or techie person, start looking at graphs & charts. Graphs and charts are essential for keeping track of all this information. In our post-modern electronic world, the sheer amount of information available is simply mind-boggling. Geeky math & techie folks, such as I, absolutely love graphs and charts, because they present an efficient means to convey a truckload of information in way that is directly visually accessible. Why is there Data Interpretation on the GRE? Why is this important? Well, do you know the old adage “ A picture is worth a thousand words“? Well, a graph is worth even more. As you can see, Data Interpretation practice is an important part of your GRE Quant prep. So, you will see about 3 DI questions on each GRE Quant section, so about 6 DI questions on your test-or more if the experimental section is also a Quant section. The GRE Data Interpretation set will present data, information, in some graphical form, and it typically has three questions about the same data. Data Interpretation on the GRE QuantĮach Quant section will have a Data Interpretation problem set towards the end of the section. If you’re not sure what this entails or you just want to get some GRE math practice in, keep reading for our breakdown and practice problems. On GRE test day, you will have two Quant sections, each of which will include a data interpretation set. By Mike MᶜGarry on Augin GRE Math, GRE Math Practice
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