Frequency polygons charts are a type of data visualization used to display the distribution of a dataset. It is a line graph with frequency data placed on the vertical axis and the mid-point of a bin on the horizontal axis. The frequency polygons help users visualize the shape of the data distribution and locate the central tendency.

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In this article, we’ll discuss how to create a frequency polygons chart in Tableau. We’ll also provide some interview questions and technical round questions related to this topic.

To create a frequency polygons chart in Tableau, follow these steps:

1. Connect to your data source and open a new worksheet.
2. Drag the variable you want to plot on the x-axis to the Columns shelf.
3. Right-click on the variable on the Columns shelf and select “Create Bins.”
4. In the Create Bins dialog box, set the Size of bins and Range of values for the bins.
5. Drag the “Count” measure to the Rows shelf.
6. Click on the “Show Me” button and select “Polygon.”
7. Drag the “Count” measure to the “Path” section of the Marks card.
8. Adjust the visualization as needed, including adding labels and formatting.

Your frequency polygons chart is now ready to use. You can use the chart to analyze the distribution of data, identify central tendencies, and locate patterns or trends in the data.

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Frequency polygons charts can be particularly useful for businesses that need to analyze numerical data, such as sales data or financial data. Here are some of the benefits of using frequency polygons charts:

1. Analyze distribution: Frequency polygons charts provide a detailed view of the distribution of data, allowing businesses to analyze the spread and central tendency of the data. This can be useful for identifying patterns or trends in the data, such as whether the data is skewed or whether there are significant differences in the spread of the data across different categories.
2. Identify thresholds: Frequency polygons charts make it easy to identify thresholds or cutoff points in the data. For example, if a business is analyzing sales data, a frequency polygons chart can help identify the point at which a certain percentage of sales are achieved.
3. Compare data across categories: Frequency polygons charts allow businesses to compare the distribution of data across multiple categories at once. This can be useful for identifying areas where one category is significantly different from another, or for comparing the distribution of data across different regions or time periods.

If you’re applying for a data analyst or visualization-related job, you may be asked about your experience creating frequency polygons charts. Here are some potential interview questions:

1. What is a frequency polygons chart, and how is it used?
2. What are the benefits of using a frequency polygons chart over other types of charts or tables?
3. How do you create a frequency polygons chart in Tableau, and what are some of the options for customizing the chart?
4. Can you give an example of a business problem that would be well-suited to analysis using a frequency polygons chart?
5. How would you explain a frequency polygons chart to a non-technical stakeholder?

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