Pie Chart Examples With Questions And Answers Pdf
A pie chart is a circular statistical graphic that is used to represent numerical data. Pie charts are widely used in business, media, and other fields to illustrate data and make it easier to understand. In this article, we will provide you with some pie chart examples with questions and answers in PDF format.
What is a pie chart?
A pie chart is a circular graph that is divided into sectors, each sector representing a proportionate part of the whole. The size of each sector is proportional to the quantity it represents in the data set.
When to use a pie chart?
Pie charts are best used when the data set has a few categories (usually less than seven) and when the data is easily divisible into percentages. They are also used when the data set has no negative values.
Example 1: Sales by Region
Suppose a company has four regions: North, South, East, and West. A pie chart can be used to represent the percentage of sales made by each region. If the total sales for the company are $100,000, and the sales for each region are as follows:
- North: $30,000
- South: $20,000
- East: $25,000
- West: $25,000
The pie chart will look like this:
Example 2: Favorite Colors
A pie chart can also be used to represent the percentage of people who prefer different colors. Suppose a survey was conducted, and the results are as follows:
- Red: 25%
- Blue: 35%
- Green: 20%
- Yellow: 10%
- Other: 10%
The pie chart will look like this:
Example 3: Expenses
A pie chart can be used to represent the percentage of expenses in a company's budget. Suppose a company has a budget of $100,000, and the expenses are as follows:
- Salaries and wages: $50,000
- Rent: $20,000
- Utilities: $10,000
- Supplies: $5,000
- Other: $15,000
The pie chart will look like this:
Conclusion
Pie charts are a useful tool for presenting data in a clear and concise way. They are easy to read and provide an instant visual representation of the data. By using the examples given in this article, you can create your own pie charts and gain a better understanding of your data.