{"id":30113,"date":"2024-08-21T17:27:56","date_gmt":"2024-08-21T15:27:56","guid":{"rendered":"https:\/\/www.graviton.at\/letterswaplibrary\/how-to-compare-two-data-sets-from-the-same-time-and-proximate-location\/"},"modified":"2024-08-21T17:27:56","modified_gmt":"2024-08-21T15:27:56","slug":"how-to-compare-two-data-sets-from-the-same-time-and-proximate-location","status":"publish","type":"post","link":"https:\/\/www.graviton.at\/letterswaplibrary\/how-to-compare-two-data-sets-from-the-same-time-and-proximate-location\/","title":{"rendered":"How To Compare Two Data Sets From The Same Time And Proximate Location"},"content":{"rendered":"

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Hi there, my first post not sure if this is the sub for it, <\/p>\n

So I am working on a weather datasets (taken from stats can:https:\/\/climate.weather.gc.ca\/index_e.html<\/a>), The dataset I am working with has some missing values that I wish to fill using another dataset from a similar location. For this I found two other datasets from similar location, but both report slightly different numbers (as expected). <\/p>\n

I wanna figure out if these differences are significant enough for me to not choose these datasets. How do I go about this? Do I use t test individually on each column? or ANOVA?<\/p>\n<\/div>\n

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