Create data visualizations using the customer analytics data provided. Consider the following: Steps to organize and check the quality of the data before creating visualizations Data to include and exclude, including the use of a pivot table Types of data models that are most useful to the company (frequency distribution, correlation matrix, linear regression, etc.) Types of visualizations that best represent the narrative (bar chart, scatter plot, line chart, radar chart, etc.) Tell the story of the data and what it means to the company, using the data visualizations as support. Explain how the company can use the data to improve its business. Describe the effectiveness of the data visualizations you've used for a generationally diverse audience