Pie Chart: Ideal for Demographic Data or Budget

A Pie chart is a circular chart divided into sectors, illustrating relative magnitudes or frequencies. In a pie Java chart, the arc length of each sector (and consequently its central angle and area), is proportional to the quantity it represents. Together, the sectors create a full disk. The Pie chart component is another commonly used chart type. Pie charts are most often used to show data as a percentage of the whole. Pie charts represent an entire data category as a pie (all other data is thrown out). Each data item in that category is shown as a pie wedge. The wedge size will be proportional to that data item's percentage of the sum of all data items in the category. Though this may sound complex, Pie charts components are actually quite intuitive.

Pie charts can be used for:

• Comparing data elements against the sum of the elements
• Budgets
• Money distribution

Components and functions of Pie Charts:

• A Pie Chart is a circular chart divided into sectors, illustrating relative magnitudes or frequencies.
• The arc length of each sector and consequently its central angle and area in a Pie Chart, is proportional to the quantity it represents.
• Each data item in that category is shown as a pie wedge or slice.
• The greater the data value, the larger the pie slice or wedge.
• The data sectors or wedges or slices, create a full disk when they come together.
• Multiple 2D and 3D Pie charts can be drawn of varying sizes to provide another dimension to the data.
• This type of chart is very useful for figures that relate to a larger sum, such as demographic data or budget information.
• It is easy to get a feel of the relationship between component values when they are placed in a Pie charts component.

For the Pie chart, the following statistics can be calculated:

• Sum: The sum value in the series.
• Count: The count value in the series.
• Valid Count: The valid count value in the series.
• Average: The average value in the series.
• Valid Average: The valid average value in the series.
• Maximum: The maximum value in the series.
• Minimum: The minimum value in the series.