Choosing the Right Visual Objects for Reporting and Designing Detailed Reports

Choosing the Right Visual Objects for Reporting and Designing Detailed Reports

Introduction:
When it comes to creating reports, selecting the right visual objects is of utmost importance. Tables, matrices, charts, and maps all have their unique advantages in conveying information effectively. However, choosing the wrong type of visual object can hinder data comprehension or even lead to misrepresentation. In this article, we will explore the common points and best practices for selecting visual objects for reports and designing detailed reports.

Tables and Matrices:
Tables and matrices excel at conveying a large amount of detailed information. They are ideal for displaying data in multiple categories. When using tables or matrices, it is essential to sort the category charts by value rather than alphabetical order. This ensures that the most relevant information is easily identifiable. Additionally, applying conditional formatting to data bars in tables helps consumers of the report quickly understand the distribution of values.

Charts:
Charts, such as line charts, bar/column charts, stacked column charts, area charts, and pie charts, are great options for visualizing data in various categories. Line charts should be used with caution, as they imply a relationship between elements that may not exist. Adding an analysis option to line charts can take them to the next level of data interpretation. Bar/column charts are particularly useful when comparing data across different categories. It is advisable to avoid using a categorical X-axis in line charts, as it may misrepresent the data. Stacked column charts and combination line and column charts provide the advantage of showing changes in rankings over time.

Proportional Visual Objects:
Proportional visual objects, such as 100% stacked column charts, funnel charts, rectangle charts, and donut/ring charts, are effective for visualizing proportions in multiple dimensions. However, it's important to note that proportional visual objects cannot represent a combination of positive and negative values. They should only be used when all values are either positive or negative.

Maps:
Maps are a powerful visual object for conveying geospatial information. However, it's crucial to choose the right type of map object based on the level of detail required. For example, a choropleth map of the United States may not sufficiently convey sales data by city. Elevating the granularity to the state level would generate better results. It's important to consider the space occupied by a map object on the report page and whether the location is relevant to the requirements. In some cases, using categorical visual objects may be more suitable.

Navigating Hierarchies:
Matrices provide an excellent user experience for hierarchical navigation, allowing users to explore data in-depth within columns or rows. This enables them to identify specific data points of interest. Additionally, the use of conditional formatting in matrices helps consumers of the report quickly identify patterns and trends.

Actionable Advice:

1. Choose the right visual object: Consider the type of data, the level of detail required, and the message you want to convey before selecting a visual object for your report.
2. Sort charts by value: When using charts with multiple categories, always sort them by value rather than alphabetical order to highlight the most relevant information.
3. Use conditional formatting: Applying conditional formatting to visual objects, such as data bars in tables or conditional formatting in matrices, helps consumers quickly understand the distribution of values.

Conclusion:
Selecting the appropriate visual objects for reports and designing detailed reports is crucial for effective data communication. By understanding the strengths and weaknesses of different visual objects, you can ensure that your reports are informative, easy to comprehend, and accurately represent the data. Remember to choose the right visual object, sort charts by value, and utilize conditional formatting to enhance data visualization and analysis.