{"id":31757,"date":"2024-12-01T00:27:26","date_gmt":"2024-11-30T23:27:26","guid":{"rendered":"https:\/\/www.graviton.at\/letterswaplibrary\/working-with-vectors-of-data-building-intuition-on-disparate-data-sources\/"},"modified":"2024-12-01T00:27:26","modified_gmt":"2024-11-30T23:27:26","slug":"working-with-vectors-of-data-building-intuition-on-disparate-data-sources","status":"publish","type":"post","link":"https:\/\/www.graviton.at\/letterswaplibrary\/working-with-vectors-of-data-building-intuition-on-disparate-data-sources\/","title":{"rendered":"Working With Vectors Of Data, Building Intuition On Disparate Data Sources"},"content":{"rendered":"

<\/p>\n

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If I have two vectors:<\/p>\n

exam scores [100, 80, 90] exam weights [.4, .3, .3] <\/p>\n

I can take the dot product of these two and find *i’*s total score. Now across many rows, I can find “the class” total scores by i<\/em>.<\/p>\n

Now, imagine I have two other random vectors:<\/p>\n

happiness score [10, 8. 9] sadness score [10, 8, 8] <\/p>\n

Mathematically, nothing is stopping me from taking the dot product of happiness score and sadness score for person i.<\/em><\/p>\n

This is where my intuition isn’t strong. What “possibly” could the dot product of these two mood scores tell me? I am just looking for any random ideas or ways to take the dot product and “make it make sense”.<\/p>\n

Overall, This will help me take different vectors of data sets and infer insights. So, if you are given two vectors, how do you approach “combining them” to product an output that “makes sense”?<\/p>\n<\/div>\n

submitted by \/u\/RoyalScarcity260 <\/a>
[link]<\/a><\/span> [comments]<\/a><\/span><\/p>