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M 365 Excel Class Video 11: Visualizing Data and Building Dashboards in Excel & Power BI Table of Contents Data Analysis Yields Numbers & Visualizations ......................................................................................................................
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Gather the data that you want to visualize.
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Choose the most appropriate type of visualization for your data (e.g. bar chart, line graph, scatter plot).
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Use a tool or software (such as Tableau or matplotlib) to create the visualization.
04
Customize the visualization to make it clear and easy to interpret.
05
Label your axes, add a title, and include any necessary legends or color keys.
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Review and refine the visualization to ensure it effectively communicates the data.

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Visualizing data and building refers to the process of creating graphical representations of data, making complex information easier to understand and analyze, often involving the design of visual models that convey insights effectively.
Entities that generate data reports, such as businesses and organizations, are usually required to file visualizing data and building to comply with specific regulations and standards in their industry.
To fill out visualizing data and building, one must gather relevant data, choose appropriate visualization techniques, and adhere to guidelines provided for the submission, often using specialized software or templates.
The purpose of visualizing data and building is to present data in a visually appealing manner that enhances comprehension, facilitates decision-making, and reveals patterns or trends that may not be immediately apparent from raw data.
Typically, reports on visualizing data and building must include the data source, visualization techniques used, key findings, methodologies, and any pertinent conclusions drawn from the data.
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