Visualizing Sales Data with PivotCharts in Excel
In this code along, we delve into the world of data analysis and visualization using PivotCharts and PivotTables on a sales dataset. The primary objective is to gain a comprehensive understanding of these powerful Excel tools for the purpose of exploratory data analysis and effective data visualization.
Throughout the code along, we will navigate through a range of Excel concepts, starting from the fundamental basics to intermediate-level techniques. This progressive approach ensures that learners of all skill levels can grasp the material effectively.
Our journey includes creating PivotTables, which allow us to summarize and manipulate data effortlessly. We will explore the art of transforming raw data into actionable insights, employing techniques such as filtering, grouping, and calculating aggregated values.
The real magic unfolds when we dive into PivotCharts, as we discover the diverse range of chart types available and learn how to select the most suitable ones for different data scenarios. The project emphasizes the importance of good visualization practices, teaching us how to create visually appealing and informative charts that convey insights effectively.
By the end of this code project, learners will have a solid foundation in using PivotCharts and PivotTables for exploratory data analysis, and they will possess the skills to present data in a compelling and informative manner—a valuable skillset for anyone working with data in Excel.
Key Takeaways
- PivotCharts and PivotTables are excellent for quick Exploratory Data Analysis of large datasets
- Various PivotTables and PivotCharts can be connected into a data model and even a small dashboard.
- PivotTables and PivotCharts make updating linked visualizations very easy, when the underlying dataset changes.
Additional Reources