Data is the foundation of a successful modeling project. We all have had an experience where high quality, mistake-free data was not available for a project and lesser quality, problematic data was the only thing available. These problematic datasets can contain a variety of issues not limited to missing data values, missing labels, incorrect data values, and outliers; all of which can cause inaccurate projects. With the release of a the latest version of Voxler 3D Visualization mapping software this past fall, the new worksheet window allows real-time editing of your imported data; Now you can leverage Voxler as a valuable data quality control tool for correcting problematic 3D point cloud data and well data. This blog will detail how to effectively QC (quality control) the problematic data issues directly within Voxler's mapping software using the new worksheet window.
QC missing data values: