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So in this tutorial well introduce joining datasets by attributes, specifically linking tables to vector datasets for analysis and visualization. This is a powerful way to examine tabulated variables, linking them to vector geometries via common entries - in this case a column in the table and a matching field within the vector. There are two types of attribute joins, with slightly different procedures. Today well cover the first, the one-to-one join, where there is one row for each corresponding feature or geometry. For a successful join the entries must match perfectly. Thus, numeric identifiers are best due to complications with text such as special characters, spacing and case sensitivities. Copying and matching entries between datasets is another method to improve the likelihood of a successful join. For the tutorial well use the Population and Dwelling Highlight tables - downloaded previously. They are ideally formatted, as the join information is readily