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sometimes youamp;#39;re going to get very weird problems in life one such example is this data that Iamp;#39;m working with take a look we have four columns transaction ID date region and the value and I have null values littered around in this data so I canamp;#39;t really just go ahead on transaction ID columns say remove nulls and the data is going to be sorted now if I do that then Iamp;#39;m going to lose the legit values which is date region and maybe a value here then Iamp;#39;m going to lose so how do we kind of fix this data and bring all the rows together weamp;#39;ll find out in this video Letamp;#39;s Go yeah now if I take a look at this data every single non-null value is the rows data take a look at the first row of data for instance this is the first row of the data this again is the first row of the data and thatamp;#39;s a null value this is the first row of the data and that is the first row of the data now if I have to track the second row of the data I have
