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check if there's missing information in the raw data files
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As agree with @mpadge, this will bring a load of performant code for analysing bike share data into stplanr:
https://github.com/mpadge/bike-correlations
- [ ] Port C++ code
- [ ] Check R fun name…
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* checking Rd \usage sections ... WARNING
Undocumented arguments in documentation object 'etl_extract.etl_citibike' ‘schema’
Functions with \usage entries need to have the appropriate \alias entries…
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as per title
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as per title
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as per title
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otherwise I cannot push the citibike revision and suggest other changes and improvements.
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otherwise I cannot push the citibike reviesion and suggest other changes and improvements.
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otherwise I cannot push the citibike revision and suggest other changes and improvements.
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otherwise I cannot push the citibike revision and suggest other changes and improvements.