Then the graph will show that albumename and artists define explicit quite strongly . This is in general logical. The album contains essentially similar tracks and the performers usually adhere to the same style. Although the relationship is not exact. You can also notice that trackename and trackeid have a onetomany relationship. There are cases when one track name is associate with different ids. But this is a fairly common situation so it doesnt raise any big questions. Conclusions on table architecture If we forget for a moment about the populatiry column then the table architecture nees to be change The table must have a primary key trackeid . All other columns clearly depend only on it.
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This will reuce the number of lines from k to k. Apparently the same track can belong to different genres. If this is the case then you can create a separate table that will contain a manytomany relationship between trackeid and trackegenre . Two columns. These same two Italy Telegram Number Data columns will be the primary key of this second table. It will have k lines. Its difficult with the populatir column . My hypothesis is that there is an error in the data. Populairy should functionally depend on trackeid . If so then it will go to the first table where the primary key is trackeid.
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We remember that a flat table is a story about a primary key But if we are convince that populatiry in some interesting way depends on the combination of two columns trackeid and genre then we can add it to the second table. In business it is customary to say that a position Portugal Whatsapp Number List is an attributeetail grouping for an employee directory. But the essence of the matter does not change. In functional dependence there is a determinant qualifier and a goal. Determinant Purpose. Employees are the determinant positions are the goal. Now lets imagine that we were given a good flat table for analysis.
