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).
62 lines
1.0 KiB
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62 lines
1.0 KiB
Plaintext
Date,Dividends
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2006-12-15,0.007
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2006-12-28,0.415
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2007-03-30,0.11
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2007-06-29,0.087
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2007-09-28,0.113
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2007-12-14,0.131
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2007-12-28,0.161
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2008-03-31,0.088
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2008-06-30,0.136
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2008-09-30,0.101
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2008-12-30,0.076
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2009-03-31,0.149
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2009-06-30,0.055
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2009-09-30,0.099
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2009-12-30,0.105
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2010-03-31,0.104
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2010-04-30,0.02
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2010-06-30,0.104
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2010-09-30,0.117
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2010-12-30,0.12
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2011-03-31,0.11
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2011-06-30,0.109
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2011-09-30,0.126
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2011-12-29,0.146
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2012-03-30,0.133
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2012-06-29,0.145
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2012-09-28,0.131
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2012-12-28,0.232
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2013-03-28,0.129
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2013-06-28,0.141
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2013-09-30,0.145
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2013-12-13,0.192
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2013-12-30,0.153
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2014-03-31,0.152
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2014-06-30,0.156
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2014-09-30,0.148
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2014-12-15,1.065
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2014-12-30,0.141
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2015-03-31,0.149
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2015-06-30,0.152
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2015-09-30,0.153
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2015-12-15,1.42
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2015-12-30,0.162
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2016-03-31,0.159
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2016-06-30,0.14
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2016-09-30,0.161
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2016-12-29,0.168
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2017-03-31,0.168
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2017-06-30,0.156
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2017-09-29,0.175
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2017-12-15,1.229
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2017-12-28,0.149
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2018-03-29,0.155
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2018-06-29,0.187
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2018-08-22,1.75
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2018-09-28,0.18
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2018-12-17,0.296
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2018-12-28,0.135
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2019-03-29,0.18
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2019-06-28,0.174
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