Pie Chart – Data Interpretation or DI is one of the dominating sections in any MBA entrance exam. This section tests a candidate’s ability to analyze and interpret the given data and answer questions. A typical form of presenting data in this section is through Pie Chart. The data presented in the form of slices of a pie and illustrates proportionate value. A few examples can be – Market share of multiple companies in the same industry, proportion of ingredients used in a dessert, sales of a company in different years etc.
Exams which use contain this topic:
CAT – Even though CAT has significantly reduced the number of caselets based on the pie chart, it has often asked such type of questions previously. Therefore, it is not an option to take this topic lightly as each set carries 4 questions.
NMAT – The pie chart questions in NMAT are usually very easy and are a must attempt. Losing out on easy question can cost you a lot.
XAT – Pie chart questions in XAT are not data set based but are individual and may range from 1-2 questions with easy to moderate level of difficulty
A Proper understanding of concepts of pie chart questions can sail you through all the MBA entrance exams. They are easy to score and less time consuming than other Data Interpretation questions.
Listed below are a few concepts that may help you gain insight on the type of questions asked:
Calculating absolute value from degree or percentage – Application of percentage-based questions which are quite simple to calculate. It could be possible that absolute value is given, and students have to calculate the degree or percentage.
Calculating degree from given percentage- Again a simple concept of converting 100% to 360 degrees.
Percentage increase or decrease – Data will be given for 2 different time period and the candidate needs to calculate the percentage change.
Questions with multiple pie chart- Candidates will have to analyse data given in multiple pie chart and try to relate the data.
Questions with pie chart and other graphs – CAT, XAT, SNAP, tend to present data with a pie chart and some other bar graph, line graph, table etc.
Multi-layered Pie chart – The level of difficulty with this concept may be high as the data is complicated and detailed.
CAT 2018: The multi-layered pie-chart below shows the sales of LED television sets for a big retail electronics outlet during 2016 and 2017. The outer layer shows the monthly sales during this period, with each label showing the month followed by sales figure of that month. For some months, the sales figures are not given in the chart. The middle-layer shows quarter-wise aggregate sales figures (in some cases, aggregate quarter-wise sales numbers are not given next to the quarter). The innermost layer shows annual sales. It is known that the sales figures during the three months of the second quarter (April, May, June) of 2016 form an arithmetic progression, as do the three-monthly sales figures in the fourth quarter (October, November, December) of that year.
1. What is the percentage increase in sales in December 2017 as compared to the sales in December 2016?
2. In which quarter of 2017 was the percentage increase in sales from the same quarter of 2016 the highest?
3. During which quarter was the percentage decrease in sales from the previous quarter’s sales the highest?
a.) Q2 of 2016
b.) Q2 of 2017
c.) Q4 of 2017
d.) Q1 of 2017
4. During which month was the percentage increase in sales from the previous month’s sales the highest?
a.) October of 2017
b.) October of 2016
c.) March of 2016
d.) March of 2017
The information given in pie –chart can be represented in table form as following :
|Month/sales figure in||2016||2017|
Preparing any topic from the scratch requires patience, hard work, and above all commitment. To prepare for Pie chart, here are some Level-wise preparatory guidelines to follow:
Level – 1
Level – 2
Level – 3