How to deal with missing data in d3.js?

@larissa 

There are several approaches you can take to deal with missing data in d3.js:

1. Omitting: You can simply omit the missing data points from your dataset. This means excluding the missing data points when binding data to elements in d3.js.
2. Filtering: Alternatively, you can filter out the missing data points from your dataset. This involves using the filter() method to remove the missing data points before binding data to elements.
3. Replacing: Instead of removing the missing data points, you can replace them with a default value or an appropriate placeholder. For example, you can set the missing data points to zero or "N/A".
4. Interpolating: If your missing data points occur between existing data points, you can use interpolation methods to estimate their values. d3.js provides various interpolation methods such as linear, polynomial, or spline interpolation.
5. Displaying gaps: Instead of filling in missing data, you can visually represent the gaps in your chart or graph. You can use a broken line or a different color or pattern to indicate the missing data points.

The approach you choose depends on the nature of your data and the specific requirements of your visualization.