What are two uses of data visualization? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
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A. B. C. D.AC
Data visualization is a key component in being able to gain insight into your data. It helps make big and small data easier for humans to understand. It also makes it easier to detect patterns, trends, and outliers in groups of data.
Data visualization brings data to help you find key business insights quickly and effectively.
https://docs.microsoft.com/en-us/azure/synapse-analytics/spark/apache-spark-data-visualizationData visualization is the representation of data through visual aids such as charts, graphs, and diagrams. Its purpose is to help users understand complex data sets and draw insights quickly and efficiently. There are several uses of data visualization, but two important ones are:
A. Represent trends and patterns over time: Data visualization is an effective tool for identifying trends and patterns in data over time. By representing data in visual form, it becomes easier to spot trends, identify changes in data, and track progress over time. For example, a line chart can be used to visualize how sales figures have changed over several months or years, making it easier to identify seasonal trends or other patterns.
C. Communicate the significance of data: Data visualization is an effective means of communicating the significance of data to stakeholders. By presenting data in a visual form, it becomes easier to understand and draw insights from the data. For example, a chart that shows the performance of different products can help stakeholders understand which products are performing well and which ones need improvement.
B and D are not correct answers as they do not accurately represent the primary uses of data visualization.
B. Implement machine learning to predict future values: While machine learning can be used to predict future values, data visualization is not used for this purpose. Machine learning algorithms analyze data to identify patterns and make predictions, but they do not rely on visual representations of data.
D. Enforce business logic across reports: Business logic is a set of rules and processes that govern how data is processed and analyzed. While data visualization can be used to communicate business logic, it is not used to enforce it across reports. Enforcement of business logic is typically done through data processing and analysis tools rather than through data visualization.