Preserving prototype code for further development #9
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- refined data available algorithm to identify times spans having sparse data - modified data availability return to differentiate degrees of sparseness
- refined data available algorithm to identify times spans having sparse data - modified data availability return to differentiate degrees of sparseness - removed unneeded TODO comments
- refined data available algorithm to identify times spans having sparse data - modified data availability return to differentiate degrees of sparseness - added information on data availability query and interpretation to README - addressed review comments - removed unneeded TODO comments
- refined data available algorithm to identify times spans having sparse data - modified data availability return to differentiate degrees of sparseness - added information on data availability query and interpretation to README - moved sparsity tool tip text and break points to default_settings.py
- refined data available algorithm to identify times spans having sparse data - modified data availability return to differentiate degrees of sparseness - added information on data availability query and interpretation to README - moved sparsity tool tip text and break points to default_settings.py - moved additional tool tip and color values into default_settings.py
- updated based on integration testing - corrected edge case that was missing some available data - added sparse data identification for small data sets - use shorter lables for sparseness
- updated based on integration testing - corrected edge case that was missing some available data - added sparse data identification for small data sets - use shorter lables for sparseness - addressed review comments
- This is prototype code that is being added so another developer may pickup the work on this ticket. - set a minimum threshold for reporting sparse data. - Added code to merge adjacent sparse data.
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This pull consists of prototype code that will need further development. (The current developer is leaving the project.) Comments are welcome but will not be addressed until a new developer has been assigned to work this issue.