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).
88 lines
1.4 KiB
Plaintext
88 lines
1.4 KiB
Plaintext
Date,Dividends
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2011-10-31,0.003
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2011-11-30,0.003
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2011-12-30,0.004
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2012-01-31,0.004
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2012-03-01,0.057
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2012-04-02,0.016
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2012-05-01,0.006
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2012-06-01,0.013
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2012-07-02,0.038
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2012-08-01,0.023
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2012-09-04,0.036
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2012-10-01,0.046
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2012-12-03,0.018
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2012-12-20,0.137
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2013-01-02,0.007
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2013-02-01,0.006
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2013-03-01,0.004
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2013-04-01,0.007
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2013-05-01,0.009
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2013-06-03,0.02
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2013-07-01,0.031
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2013-08-01,0.025
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2013-09-03,0.026
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2013-10-01,0.007
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2013-11-01,0.009
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2013-12-02,0.008
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2013-12-20,0.069
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2014-01-02,0.007
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2014-02-03,0.007
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2014-03-03,0.012
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2014-04-01,0.009
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2014-05-01,0.01
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2014-06-02,0.013
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2014-07-01,0.028
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2014-08-01,0.012
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2014-09-02,0.015
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2014-10-01,0.013
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2014-11-03,0.011
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2014-12-01,0.009
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2014-12-22,0.105
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2015-01-02,0.02
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2015-02-02,0.006
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2015-03-02,0.004
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2015-04-01,0.004
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2015-05-01,0.005
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2015-06-01,0.01
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2015-07-01,0.024
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2015-08-03,0.009
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2015-09-01,0.005
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2015-10-01,0.014
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2015-11-02,0.011
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2015-12-01,0.013
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2015-12-22,0.22
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2016-01-04,0.025
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2016-02-01,0.013
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2016-03-01,0.013
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2016-04-01,0.014
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2016-05-03,0.015
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2016-06-01,0.016
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2016-07-01,0.028
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2016-08-01,0.016
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2016-10-03,0.013
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2016-11-01,0.013
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2016-12-01,0.014
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2017-01-03,0.014
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2017-02-01,0.025
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2017-03-01,0.013
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2017-04-03,0.018
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2017-05-01,0.01
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2017-06-01,0.021
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2017-07-03,0.014
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2017-08-01,0.025
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2017-09-01,0.015
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2017-10-02,0.015
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2017-11-01,0.016
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2017-12-01,0.017
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2018-01-02,0.023
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2018-02-01,0.017
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2018-03-01,0.019
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2018-04-02,0.021
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2018-05-01,0.023
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2018-06-01,0.021
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2018-07-02,0.022
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2018-08-01,0.033
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2018-09-04,0.023
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2018-10-01,0.008
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