When using generated cluster columns in visualizations, which statements are true?

When using generated cluster columns in visualizations, which statements are true?

• A. Cluster columns are created only in scatter plots.
• B. Clustering technique is enabled on both bar and scatter charts.
• C. A created cluster column can only be a scatter plot's legend.
• D. Any visualization can have a created clustered column as an axis.

Answer: (A)

The statement that asserts that cluster columns are created only in scatter plots is not accurate. In reality, cluster columns can be utilized in various types of visualizations, not just limited to scatter plots. The valid statement among the options is that the clustering technique is indeed enabled on both bar and scatter charts. This means that you can use generated clusters in more than just scatter plots, expanding their application to different visualization types, including bar charts where the clustered data can be visually represented to highlight patterns, groupings, or distributions. A created cluster column can serve multiple purposes and isn’t restricted to being a legend in scatter plots. It can be used across various visualizations to provide insights based on the clustered categories. Furthermore, cluster columns can be integrated as axes in any visualization, enhancing the capability of the visualization to represent complex data trends and relationships effectively. This flexibility of using cluster columns in multiple visualization formats allows for a richer analysis of data, enabling users to derive insights from various perspectives while exploring the underlying patterns inherent in the dataset.

The statement that asserts that cluster columns are created only in scatter plots is not accurate. In reality, cluster columns can be utilized in various types of visualizations, not just limited to scatter plots.

The valid statement among the options is that the clustering technique is indeed enabled on both bar and scatter charts. This means that you can use generated clusters in more than just scatter plots, expanding their application to different visualization types, including bar charts where the clustered data can be visually represented to highlight patterns, groupings, or distributions.

A created cluster column can serve multiple purposes and isn’t restricted to being a legend in scatter plots. It can be used across various visualizations to provide insights based on the clustered categories. Furthermore, cluster columns can be integrated as axes in any visualization, enhancing the capability of the visualization to represent complex data trends and relationships effectively.

This flexibility of using cluster columns in multiple visualization formats allows for a richer analysis of data, enabling users to derive insights from various perspectives while exploring the underlying patterns inherent in the dataset.