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sheet. (ex. LPM/RPM). The only solution that I can think of is to
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use the API to validate one combination or the other.
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* **Series name**: concatenate the indicator label and the header
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lines on top of the series (duplicate cells spanning several columns)
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* **Series docHref**: yes/no
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lines on top of the series (duplicate cells spanning several columns
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in the header)
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* **Series docHref**: no
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* **Series notes**: yes (next to series code and bottom of the sheet)
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* **missing values**: code for missing values or way to detect them
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* **missing values**: ?
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* **date format**: yyyy mmm,
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* **mixed frequencies in the same dataset**: yes/no
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* **mixed frequencies in the same dataset**: no
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## Updates
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* **calendar of future updates**: if yes, provide URL
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* **summary of previous updates**: if yes, provide URL
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* **regular updates**: date and time
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* **RSS flow**:
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* **best way to monitor updates**:
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* **calendar of future updates**: yes, https://www.bankofengland.co.uk/news
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* **summary of previous updates**: yes, https://www.bankofengland.co.uk/news
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* **regular updates**: no, most of the updates happen at 1:00 am or 10:30 am
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* **RSS flow**: https://www.bankofengland.co.uk/rss/statistics
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* **best way to monitor updates**: consult RSS every day at 1:05 am
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and 10:35 am (check the delay to appear on RSS)
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## Special problems
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(like variable names in ESRI)
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There is no simple way to learn series codes. Sometime testing via the
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API seems necessary
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## Other remarks
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## Data samples
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* **location**: in test_xxx file or light files in dlstats/dlstats/tests/resources
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* **description**: a very brief description of the data samples
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