Q14: You have a dataset that contains sales data, but some regions have missing values for specific periods. You need to create a chart that can handle this missing data and still provide meaningful insights.
How would you handle missing data in SAP SAC charts, and what techniques can be used to ensure that users still get valuable insights from the data?
Ans: SAP SAC offers a variety of ways to handle and present missing data while making the charts look more insightful, accurate, and visually understandable. Here’s what we can do:
– We can opt for using the chart type that shows gaps. Line charts or columns/bar charts could be of best choice. These charts consider adding placeholders or visually communicating there is no data.
– It is a good choice to enable “Show All Values” or Zero Fill, wherever applicable. This will help the users to see that the region exists, even if no sales data exists for a certain period.
– Using data preparation techniques such as adding logic to fill all the missing combinations (region+time) with default values (0 or null).
– Using custom tooltips or conditional formatting for highlighting missing or zero values.
– Include the table widget or notes to clarify the missing data. We can also use text or info icons to explain what is missing in our data.
– Using forecasting models that will help fill in or estimate the missing data trends. SAC supports predictive or forecasting tools for the same.
These are few of the approaches we can work with, to handle the missing data in our SAP SAC charts.
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