اكثر اسئلة واجوبة المقابلات طلبا والاختبارات عبر الإنترنت
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التحضير للمقابلة

Oracle JET(OJET) اسئلة واجوبة المقابلات

سؤال 41. What is Funnel chart in Oracle JET (OJET)?

The Funnel chart visually represents data related to steps in a process as a three-dimensional chart that represents target and actual values, and levels by color. The steps appear as vertical slices across a horizontal cone-shaped section. As the actual value for a given step or slice approaches the quota for that slice, the slice fills.

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سؤال 42. What is Line chart in Oracle JET (OJET)?

The Line chart displays series of data whose values are represented by lines.

Use to compare items over the same time.

Charts require data for at least two points for each member in a group. For example, a line chart over months requires at least two months. Typically a line of a specific color is associated with each group of data such as the Americas, Europe, and Asia.

Lines should not be stacked which can obscure data. To display stacked data, use area or line with area charts.

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سؤال 43. What is Line with Area chart?

The Line with Area chart displays series of data whose values are represented as lines with filled-in areas.

Use for visualizing trends in a set of values over time and comparing those values across series.

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سؤال 44. What is Pie chart?

The Pie chart represents a set of data items as proportions of a total. The data items are displayed as sections of a circle causing the circle to look like a sliced pie.

Use to show relationship of parts to a whole such as how much revenue comes from each product line.

Consider treemaps or sunbursts if you are working with hierarchical data or you want your visual to display two dimensions of data.

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سؤال 45. What is Polar chart?

The polar chart displays series of data on a polar coordinate system. The polar coordinate system can be used for bar, line, area, combination, scatter, and bubble charts. Polygonal grid shape (commonly known as radar) is supported for polar line and area charts.

Use to display data with a cyclical x-axis, such as weather patterns over months of the year, or for data where the categories in the x-axis have no natural ordering, such as performance appraisal categories.

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