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\r\n Introduction\r\n
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\r\n \r\n Showing or presenting data in a graphical or pictorial form is called data visualization.\r\n Presenting data in a graphical form is useful as it helps us see the information contained in the data, make comparisons, and identify patterns or trends.\r\n \r\n There are several ways to represent data graphically. In this module, we will discuss three most commonly used ways\r\n of representing data.\r\n
\r\n \r\n ◉ Pictograph (Pictogram)
\r\n A pictograph (also known as a pictogram) is a visualization method where the data is represented using pictures or images.\r\n You will learn more about pictographs in Lesson 3 of this module.\r\n \r\n ◉ Bar Chart (or a Bar Graph)
\r\n A bar chart (also known as a bar graph) is a visualization method where the data is\r\n represented using bars of different heights.\r\n A bar chart is commonly used to represent the grouping of data into separate groups or categories,\r\n such as days of the week, months of the year, age groups, height groups. You will learn more about bar charts in Lesson 1 of this module.\r\n \r\n ◉ Pie Chart
\r\n A pie chart is a visualization technique where the data is represented using a circular diagram that resembles a pie.\r\n Each sector (known as a 'slice') of the circle (known as a 'pie') represents a sample of the data.\r\n The size of the slice is proportional to the size of the sample relative to whole.\r\n You will learn more about pie charts in Lesson 2 of this module.\r\n \r\n \r\n Outline\r\n
\r\n This chapter on visualizing data consists of three lessons. Each lesson comes with a visually interactive MagicGraph that offers students a uniquely engaging and effective learning experience.\r\n Lesson 1
\r\n In this lesson, you will learn how to read and create bar charts.\r\n Lesson 2
\r\n In this lesson, you will learn how to read and create pie charts.\r\n Lesson 3
\r\n In this lesson, you will learn how to read and create pictographs.\r\n
\r\n \r\n \r\n \n Graphical presentation of the data, such as the pie chart shown below, can help us easily interpret data, make comparisons, and identify patterns.\n
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\r\n Let's get started\r\n
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\r\n Explore our comprehensive library of interactive lessons on visualizing data.\r\n
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