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This video is about why we split data across multiple tables and how we think about putting them back together if we need to combine the data from across those tables. When we talked about data structure we discussed this idea of dividing data into multiple tables - one for each general category of data. And this is because its not efficient to include all of the information in a single table. If we look at this example this is something like what our Portal data would look like if we combined all of the tables together. And so weve got the date of sampling and then we have the plot number and the plot type but well see that for any given plot number the plot type is always the same its the same experiment so plot 2 is always a control. And we also have the genus and species information. And again anytime it says albigula over here its going to say Neotoma over here because this is just the combined name for a species and so these columns are kind of
