add tracking of source puzzles
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								ch09.jl
									
									
									
									
									
								
							
							
						
						
									
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								ch09.jl
									
									
									
									
									
								
							| @ -78,6 +78,12 @@ puzzles[:, names(puzzles, Real)] | ||||
| 
 | ||||
| # Code for row subsetting | ||||
| 
 | ||||
| df_small = DataFrame(id=1:4) | ||||
| df_small[[1, 3], :] | ||||
| df_small[[true, false, true, false], :] | ||||
| df_small[Not([2, 4]), :] | ||||
| df_small[Not([false, true, false, true]), :] | ||||
| 
 | ||||
| df1 = puzzles[:, ["Rating", "Popularity"]]; | ||||
| df2 = puzzles[!, ["Rating", "Popularity"]]; | ||||
| 
 | ||||
| @ -145,9 +151,9 @@ end | ||||
| scatter(ratings, mean_popularities; | ||||
|         xlabel="rating", ylabel="mean popularity", legend=false) | ||||
| 
 | ||||
| import Loess | ||||
| model = Loess.loess(ratings, mean_popularities); | ||||
| using Loess | ||||
| model = loess(ratings, mean_popularities); | ||||
| ratings_predict = float.(sort(ratings)) | ||||
| popularity_predict = Loess.predict(model, ratings_predict) | ||||
| popularity_predict = predict(model, ratings_predict) | ||||
| 
 | ||||
| plot!(ratings_predict, popularity_predict; width=5, color="black") | ||||
|  | ||||
							
								
								
									
										
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