Data cleaning: Difference between revisions
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→Time data: Data was generated in N years
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=== Time data: Data was generated in N years === | === Time data: Data was generated in N years === | ||
Define the abnormal values of the time data ([http://en.wikipedia.org/wiki/Time_series time series]) | Define the abnormal values of the time data ([http://en.wikipedia.org/wiki/Time_series time series]) | ||
* Verfiy the data were generated in N years. Possible abnormal values: {{code | code = 0001-01 00:00:00}} occurred in MySQL {{code | code = datetime}} type. | * Verfiy the data were generated in N years. Possible abnormal values: {{code | code = 0001-01 00:00:00}} occurred in MySQL {{code | code = datetime}} type. e.g. | ||
* Verfiy the data were not newer than today | * Verfiy the data were not newer than today | ||
* Verfiy the year of data were not {{kbd | key=1900}} if the data were imported from Microsoft Excel file. Datevalue<ref>[https://support.microsoft.com/zh-tw/office/datevalue-%E5%87%BD%E6%95%B8-df8b07d4-7761-4a93-bc33-b7471bbff252 DATEVALUE 函數 - Office 支援]</ref> was started from the year {{kbd | key=1900}} e.g. | * Verfiy the year of data were not {{kbd | key=1900}} if the data were imported from Microsoft Excel file. Datevalue<ref>[https://support.microsoft.com/zh-tw/office/datevalue-%E5%87%BD%E6%95%B8-df8b07d4-7761-4a93-bc33-b7471bbff252 DATEVALUE 函數 - Office 支援]</ref> was started from the year {{kbd | key=1900}} e.g. | ||
** {{code | code = 1900/1/0}} (converted time formatted value from 0), | ** {{code | code = 1900/1/0}} (converted time formatted value from 0), | ||
** {{code | code = 1900/1/1}} (converted time formatted value from 1) | ** {{code | code = 1900/1/1}} (converted time formatted value from 1) | ||
* Verfiy the value of data were not {{kbd | key=0000-00-00 00:00:00}} | * Verfiy the value of data were not {{kbd | key=0000-00-00 00:00:00}} | ||
** {{code | code = SELECT * FROM `my_table` WHERE `my_time_column` LIKE '%0000-00-00%';}} | |||
* Verfiy the diversity of data values e.g. [https://en.wikipedia.org/wiki/Variance Variance] | * Verfiy the diversity of data values e.g. [https://en.wikipedia.org/wiki/Variance Variance] | ||