Greg Pomerantz
3c5bee96ce
Some dump files carry a trailing 'ctime' column: an older pipeline appended a FULL re-download of the symbol per download (up to ~28 vintages per date, 2019-2022). The consumer keeps the last row per date, so it silently used stale (~2021) vintages where Yahoo later revised values. scripts/clean_multivintage.py keeps, per date, the rows from the newest ctime (event files keep distinct same-day amounts; history/split keep the single newest row), drops the ctime column, sorts by date. Applied to the data root and overrides/frozen (which carried the same artifact): 1,065 files, 2,202,712 stale rows dropped. Also: stripped 3 UTF-8 BOMs (teg/lo/krft), refreshed the event backup with the cleaned files, and re-ran the double-listing scan: category C (83 symbols, 18,636 repeated within-file rows) is fully explained by the multi-vintage artifact and is now gone; A (6,589 pairs, corrected) and B (12,366 pairs, open review list) are unchanged. Whole-set structural QC after cleaning: 0 duplicate dates, 3 syms/15 rows of OHLC invariant violations, 15 syms/2,897 rows of non-positive prices (mostly long-delisted tickers), 8 unsorted files (reader sorts).
59 lines
980 B
Plaintext
59 lines
980 B
Plaintext
Date,Dividends
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2012-08-03,0.011
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2012-09-07,0.015
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2012-10-05,0.012
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2012-11-02,0.014
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2012-12-21,0.18
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2013-02-08,0.012
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2013-02-15,0.016
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2013-03-01,0.01
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2013-04-05,0.017
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2013-05-03,0.019
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2013-06-07,0.027
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2013-07-05,0.015
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2013-08-02,0.016
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2013-09-06,0.019
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2013-10-04,0.019
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2013-11-01,0.019
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2013-12-20,0.033
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2014-02-07,0.018
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2014-03-07,0.013
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2014-04-04,0.015
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2014-05-02,0.017
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2014-06-06,0.016
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2014-07-03,0.013
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2014-08-08,0.018
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2014-09-05,0.016
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2014-10-03,0.014
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2014-11-07,0.02
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2014-12-26,0.029
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2015-01-29,0.033
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2015-02-06,0.018
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2015-02-13,0.032
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2015-03-06,0.014
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2015-04-01,0.017
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2015-05-01,0.017
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2015-06-05,0.023
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2015-07-01,0.016
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2015-08-07,0.017
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2015-09-02,0.015
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2015-10-02,0.016
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2015-11-06,0.02
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2015-12-23,0.034
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2016-02-05,0.018
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2016-03-04,0.018
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2016-04-08,0.012
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2016-05-06,0.013
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2016-06-03,0.013
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2016-07-08,0.016
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2016-08-05,0.016
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2016-09-09,0.017
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2016-10-07,0.014
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2016-11-04,0.013
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2016-12-23,0.041
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2017-02-03,0.012
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2017-03-03,0.013
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2017-04-07,0.011
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2017-05-05,0.013
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2017-06-02,0.012
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