Background | Setup | Parsing | Matching | Takeaways

Setup | Name parsing | Name matching | Name resolution

Import data | Validation | Investigate errors | Duplicate names | Invalid column names | Fixing the data | Summary

The data | Adding rows | Adding rows by vector | Adding rows by dataframe | Deleting rows | Modifying rows | Identifying rows to modify | Automatic re-mapping of synonyms | Filling columns

Setup | The data | Error on failure | Summary on failure | Checks | Controlled vocabularies | Changing the defaults

DwC is a standard for biodiversity data | Features of the DwC taxon format | Vertically oriented | Machine and human friendly | Extensible

Setup | Dataset | Randomization test | Classify endemism | Classify significance | Visualize results | References

A word about randomization algorithms | Replicates vs. iterations | Effect of n_iterations | Effect of n_reps | Conclusion | References

How to parallelize | Sequential mode | Parallel mode | When to parallelize? | Progress bars | Conclusion