As we have outlined on our blog, analyses using NDT data should account for things like multimodal distributions, client bias, and population drift, and use histogram and logarithmic scales instead of basic statistics. Developing robust analyses, however, typically begins by examining basic, descriptive statistics of a dataset.

To support our wide-ranging communities, here we provide advisory statistics of NDT data visualized in Google DataStudio reports. These reports use statistics generated by our stats-pipeline service, unless otherwise noted.

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