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Cleaning Up Very Large Databases and MIT Information Quality Mitiq Mit

Cleaning Up Very Large Databases and MIT Information Quality Mitiq Mit

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hey everyone welcome back to my channel so in this video we are going to perform data wrangling and cleaning activity to clean and transform our dataset so we are going to use shark attack data set here so without doing any further delay let's get started so select start from attack table so as you can see here we have bunch of columns like case number date year type country etc okay so our first step will be finding the null values okay so for example so for now we will check the null value for date and case number okay so for that we'll write query select star from attack table where date is null or case number is not so let's run this query so now as you can see we have total 11 423 rows where date is none or case number is enough so you can see that in this case we have date null but case number in case number we have value but similarly then we have null and case number as well so we will be deleting all rows that contain null in any of the column and exception is species column w

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