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A scatter plot can also be useful for identifying other patterns in data. We can divide data points into groups based on how closely sets of points cluster together. Scatter plots can also show if there are any unexpected gaps in the data and if there are any outlier points
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Step-by-step explanation:
The reason is discussed below:
What Is a Scatter Plot?
A scatter plot is a means to represent data in a graphical format. A simple scatter plot makes use of the Coordinate axes to plot the points, based on their values.
How to Construct a Scatter Plot?
- STEP I: Identify the x-axis and y-axis for the scatter plot.
- STEP II: Define the scale for each of the axes.
- STEP III: Plot the points based on their values.
Types of Scatter Plot
A scatter plot helps find the relationship between two variables. This relationship is referred to as a correlation. Based on the correlation, scatter plots can be classified as follows.
- Scatter Plot for Positive Correlation
- Scatter Plot for Negative Correlation
- Scatter Plot for Null Correlation
A scatter plot might be helpful for spotting further data trends.
Based on how tightly sets of data points cluster together, we can categorize the data points into groups.
Additionally, scatter plots can reveal any unexpected gaps in the data as well as any outlier spots.
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