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How to remove outliers from a dataset

...[2] + H)] <- NA y } To see it in action: set.seed(1) x <- rnorm(100) x <- c(-10, x, 10) y <- remove_outliers(x) ## png() par(mfrow = c(1, 2)) boxplot(x) boxplot(y) ## dev.off() And once again, you should never do this on your own, outliers are just meant to be! =) EDIT: I added n...
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Real escape string and PDO [duplicate]

... answered Sep 15 '10 at 9:37 SteDSteD 13.1k1212 gold badges5959 silver badges7373 bronze badges ...
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Python str vs unicode types

... 10 Yes. When you want to save some text(e.g. to a file) you have to represent it with bytes, i.e. you must encode it. When retrieving the cont...
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How to change line-ending settings

...l and code enthousiastTravel and code enthousiast 911010 bronze badges add a comment  |  ...
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Output of git branch in tree like fashion

...-abbrev-commit --date=relative --branches" git lgb Original answer (2010) git show-branch --list comes close of what you are looking for (with the topo order) --topo-order By default, the branches and their commits are shown in reverse chronological order. This option makes them appear...
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Calendar.getInstance(TimeZone.getTimeZone(“UTC”)) is not returning UTC time

... answered Jan 25 '14 at 10:49 mockinterfacemockinterface 12.5k44 gold badges2424 silver badges4444 bronze badges ...
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What is the default form HTTP method?

... answered Feb 22 '10 at 21:42 Drew WillsDrew Wills 7,90033 gold badges2525 silver badges3535 bronze badges ...
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Deserializing JSON Object Array with Json.net

... James Newton-King 42.9k2222 gold badges105105 silver badges127127 bronze badges answered Aug 12 '13 at 16:56 Joffrey KernJoffrey Kern ...
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LINQ to Entities case sensitive comparison

... answered Oct 1 '10 at 22:15 Morteza ManaviMorteza Manavi 31.5k66 gold badges9393 silver badges8181 bronze badges ...
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Find the max of two or more columns with pandas

...d import perfplot np.random.seed(0) df_ = pd.DataFrame(np.random.randn(5, 1000)) perfplot.show( setup=lambda n: pd.concat([df_] * n, ignore_index=True), kernels=[ lambda df: df.assign(new=df.max(axis=1)), lambda df: df.assign(new=df.values.max(1)), lambda df: df.ass...