What Is It?
Filters allow you to modify how much of your data you are viewing by restricting to a specified range for numerical and date features or specific values for categorical features.
Why Is This Important?
By Filtering your data, you can focus on what really matters to you. For example, if you are looking at sensor data for the last 24 hours and you know that an issue occurred between hours 6 and 8, you can filter down to just those hours to more closely examine what happened during that time range. Filters are also very useful for cleaning up your data, since data quality issues are very common. Filters can help remove extreme outliers from your data as well as remove missing values from your plot so that you can focus your analysis on the bulk of your data. You could even do the inverse and only examine the outliers to see what is different about them.
Steps for using Filters:
- First make sure that you have already created the plot you would like to filter.
- Drag and drop a feature into the Filters area in the bottom section of the Mapping panel.
- Depending on the feature type, you will either see a checklist of categories or a slider to adjust the range.
- Modify the checkbox selection or the range slider, then click Apply to update the plot.
- Now you will be looking at a filtered view of your data.
- Tip: If you want to examine this filtered data more in depth, you can right-click and choose Create Subset to create a new dataset of only the points you are currently looking at.
- To reset your filters, open the Options Menu at the top of the Mapping panel. You can choose to reset the selected filter, reset all filters, or remove all filters.