In the field of data science, it is important to understand the different types of data that you may encounter. Data can be categorized as e...

discrete numerical data definition Discrete numerical

In the field of data science, it is important to understand the different types of data that you may encounter. Data can be categorized as either discrete or continuous. Discrete data consists of numerical values that can only be counted as whole numbers, while continuous data consists of numerical values that can take on any value within a certain range. Let's first take a look at the definition of discrete data. Discrete data is characterized by having distinct values that can be counted, such as the number of students in a class or the number of cars sold in a month. Discrete data is typically represented using bar graphs or pie charts. Here is an example of a bar graph representing the number of cars sold by a dealership in a given month:

Number of Cars Sold in August

Bar graph of number of cars sold in August

This graph displays the number of cars sold by a dealership in the month of August. The x-axis represents the days of the month, while the y-axis represents the number of cars sold. As you can see, the dealership sold the most cars on August 15th and 21st.

Now, let's move on to the definition of continuous data. Continuous data is characterized by having numerical values that can take on any value within a certain range, such as the weight of a person or the temperature outside. Continuous data is typically represented using line graphs or scatter plots. Here is an example of a scatter plot representing the relationship between the weight and height of a group of people:

Weight vs Height of a Group of People

Scatter plot of weight vs height of a group of people

This scatter plot displays the relationship between the weight and height of a group of people. The x-axis represents the height in inches, while the y-axis represents the weight in pounds. As you can see, there is a positive correlation between weight and height, indicating that taller people tend to weigh more.

In conclusion, understanding the different types of data is crucial in the field of data science. Discrete data consists of numerical values that can only be counted as whole numbers, while continuous data consists of numerical values that can take on any value within a certain range. Discrete data is typically represented using bar graphs or pie charts, while continuous data is typically represented using line graphs or scatter plots.

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Discrete Data Definition (Illustrated Mathematics Dictionary)

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Discrete Numerical Data Definition : Discrete Vs Continuous Data

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Discrete Numerical Data Definition : Discrete Vs Continuous Data

Discrete Numerical Data Definition : Discrete vs Continuous Data kasttank.blogspot.com

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