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  • diff --git a/docs/search.json b/docs/search.json index bed8792..ce074d9 100644 --- a/docs/search.json +++ b/docs/search.json @@ -62,6 +62,34 @@ "section": "", "text": "介绍\n\n\n\nGLMakie 方法\n\n\nCourse info & details here\ncommit chage gh-pages" }, + { + "objectID": "statistics/15-bubble-plot.html", + "href": "statistics/15-bubble-plot.html", + "title": "15-bubble-plot", + "section": "", + "text": "简介\n\n\n\n\nref csv" + }, + { + "objectID": "statistics/15-bubble-plot.html#load-pacakge", + "href": "statistics/15-bubble-plot.html#load-pacakge", + "title": "15-bubble-plot", + "section": "1. load pacakge", + "text": "1. load pacakge\n\n\nCode\nusing GLMakie,CSV,DataFrames,GLMakie,LinearAlgebra,Pipe" + }, + { + "objectID": "statistics/15-bubble-plot.html#load-data-dataframe", + "href": "statistics/15-bubble-plot.html#load-data-dataframe", + "title": "15-bubble-plot", + "section": "2. load data->dataframe", + "text": "2. load data->dataframe\n\n\nCode\nfeature=[\"Height\",\"Weight\",\"Bodyfat\"]\ndata=@pipe CSV.File(\"./data/BodyFat.csv\")|>DataFrame|>dropmissing|>select(_,feature)\nfirst(data,10)\n\n\n10×3 DataFrame\n\n\n\nRow\nHeight\nWeight\nBodyfat\n\n\n\nFloat64\nFloat64\nFloat64\n\n\n\n\n1\n73.5\n247.25\n32.3\n\n\n2\n71.5\n177.25\n22.5\n\n\n3\n69.0\n156.25\n22.0\n\n\n4\n67.75\n154.25\n12.3\n\n\n5\n70.0\n177.0\n20.5\n\n\n6\n72.0\n198.0\n22.6\n\n\n7\n71.5\n200.5\n28.7\n\n\n8\n70.25\n163.0\n21.3\n\n\n9\n71.5\n241.25\n29.9\n\n\n10\n71.0\n218.5\n21.3" + }, + { + "objectID": "statistics/15-bubble-plot.html#plot-bubble-img", + "href": "statistics/15-bubble-plot.html#plot-bubble-img", + "title": "15-bubble-plot", + "section": "3. plot bubble img", + "text": "3. plot bubble img\n\n\nCode\n function plot_bubble()\n fig=Figure()\n ax=Axis(fig[1,1];title=\"Bubble size: BodyFat\",xlabel=\"$(feature[1])\",ylabel=\"$(feature[2])\")\n Box(fig[1,1];color = (:orange,0.1),strokewidth=0.5)\n scatter!(ax,data[!,1],data[!,2],markersize=data[!,3].*2,color=(:blue,0.2),strokewidth=3,strokecolor=:black)\n fig\n #save(\"Bubble-size-BodyFat.png\",fig)\n end\n\n plot_bubble()" + }, { "objectID": "statistics/1-normaldist.html", "href": "statistics/1-normaldist.html", @@ -314,6 +342,13 @@ "section": "3. plot res", "text": "3. plot res\n\n\nCode\nfunction plot_func(fig,idx,levels=1)\n ax=Axis(fig[1,idx], xlabel=L\"X\", ylabel=L\"Y\")\n Box(fig[1,idx];color = (:orange,0.1))\n scatter!(ax,rand_sample;marker=:circle,markersize=10,color=(:green,0.1),\n strokewidth=1,strokecolor=:black)\n contour!(ax,xs, ys,dens_mvnormal;levels=levels,linewidth=1)\nend\nfunction plot_mvnormal()\n fig=Figure(resolution=(800,400))\n [plot_func(fig,idx,levels) for (idx,levels) in enumerate([1,16])]\n fig\nend\nplot_mvnormal()" }, + { + "objectID": "statistics/14-unicode-plot.html", + "href": "statistics/14-unicode-plot.html", + "title": "14-unicode-plot-method", + "section": "", + "text": "简介\n\n\n\n使用Readme ·UnicodePlots.jl 以字符形式作图\n\n\n\n\nCode\nusing Plots,UnicodePlots\ndata=[21, 17, 21, 18, 22, 31, 31, 34, 34, 35, 35, 36, 39, 36,35]\nplt=scatterplot(data)\nshow(plt)\n\n\n ┌────────────────────────────────────────┐ \n 40 │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠂⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ \n │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡀⠀⠀⠀⡀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ \n │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡀⠀⡀⠀⠂⠀⠂⠀⠀⠀⠀⠀⠀⠀⠂⠀⠀⠀⠀⠀⠀⠀⠀⠀│ \n │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ \n │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠄⠀⠄⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ \n │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ \n │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ \n │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ \n │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ \n │⠀⠀⠄⠀⠀⠀⠄⠀⠀⠀⠁⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ \n │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ \n │⠀⠀⠀⠀⠄⠀⠀⠀⠁⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ \n │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ \n │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ \n 10 │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ \n └────────────────────────────────────────┘ \n ⠀0⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀20⠀ \n\n\n(18, 49)" + }, { "objectID": "machinelearning/1-classfication-comparison.html", "href": "machinelearning/1-classfication-comparison.html", diff --git a/docs/statistics/1-normaldist.html b/docs/statistics/1-normaldist.html index 7bc7bdf..90629ab 100644 --- a/docs/statistics/1-normaldist.html +++ b/docs/statistics/1-normaldist.html @@ -213,6 +213,18 @@ 13-understanding-bayes
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  • diff --git a/docs/statistics/14-unicode-plot.html b/docs/statistics/14-unicode-plot.html new file mode 100644 index 0000000..4811aea --- /dev/null +++ b/docs/statistics/14-unicode-plot.html @@ -0,0 +1,628 @@ + + + + + + + + + + +GLMakie Gallery - 14-unicode-plot-method + + + + + + + + + + + + + + + + + + + + + + + + + +
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    14-unicode-plot-method

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    Author
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    math4mad

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    +简介 +
    +
    +
    +

    使用Readme ·UnicodePlots.jl 以字符形式作图

    +
    +
    +
    +
    +Code +
    using Plots,UnicodePlots
+data=[21, 17, 21, 18, 22, 31, 31, 34, 34, 35, 35, 36, 39, 36,35]
+plt=scatterplot(data)
+show(plt)
    +
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    +
          ┌────────────────────────────────────────┐ 
+   40 │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠂⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ 
+      │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡀⠀⠀⠀⡀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ 
+      │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡀⠀⡀⠀⠂⠀⠂⠀⠀⠀⠀⠀⠀⠀⠂⠀⠀⠀⠀⠀⠀⠀⠀⠀│ 
+      │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ 
+      │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠄⠀⠄⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ 
+      │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ 
+      │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ 
+      │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ 
+      │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ 
+      │⠀⠀⠄⠀⠀⠀⠄⠀⠀⠀⠁⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ 
+      │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ 
+      │⠀⠀⠀⠀⠄⠀⠀⠀⠁⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ 
+      │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ 
+      │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ 
+   10 │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ 
+      └────────────────────────────────────────┘ 
+      ⠀0⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀20⠀
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    + + + + \ No newline at end of file diff --git a/docs/statistics/15-bubble-plot.html b/docs/statistics/15-bubble-plot.html new file mode 100644 index 0000000..c675061 --- /dev/null +++ b/docs/statistics/15-bubble-plot.html @@ -0,0 +1,731 @@ + + + + + + + + + + +GLMakie Gallery - 15-bubble-plot + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
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    15-bubble-plot

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    math4mad

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    +简介 +
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    Bubble plot

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    ref csv

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    +

    1. load pacakge

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    +
    +Code +
    using GLMakie,CSV,DataFrames,GLMakie,LinearAlgebra,Pipe
    +
    +
    +
    +
    +

    2. load data->dataframe

    +
    +
    +Code +
    feature=["Height","Weight","Bodyfat"]
+data=@pipe CSV.File("./data/BodyFat.csv")|>DataFrame|>dropmissing|>select(_,feature)
+first(data,10)
    +
    +
    +
    10×3 DataFrame
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    RowHeightWeightBodyfat
    Float64Float64Float64
    173.5247.2532.3
    271.5177.2522.5
    369.0156.2522.0
    467.75154.2512.3
    570.0177.020.5
    672.0198.022.6
    771.5200.528.7
    870.25163.021.3
    971.5241.2529.9
    1071.0218.521.3
    +
    +
    +
    +
    +
    +

    3. plot bubble img

    +
    +
    +Code +
        function plot_bubble()
+        fig=Figure()
+        ax=Axis(fig[1,1];title="Bubble size: BodyFat",xlabel="$(feature[1])",ylabel="$(feature[2])")
+        Box(fig[1,1];color = (:orange,0.1),strokewidth=0.5)
+        scatter!(ax,data[!,1],data[!,2],markersize=data[!,3].*2,color=(:blue,0.2),strokewidth=3,strokecolor=:black)
+        fig
+        #save("Bubble-size-BodyFat.png",fig)
+    end
+
+    plot_bubble()
    +
    +
    +

    +
    +
    + + +
    + +
    + +
    + + + + \ No newline at end of file diff --git a/docs/statistics/15-bubble-plot_files/figure-html/cell-4-output-1.png b/docs/statistics/15-bubble-plot_files/figure-html/cell-4-output-1.png new file mode 100644 index 0000000..eb5e783 Binary files /dev/null and b/docs/statistics/15-bubble-plot_files/figure-html/cell-4-output-1.png differ diff --git a/docs/statistics/2-2d-descison-boundary.html b/docs/statistics/2-2d-descison-boundary.html index f0b3929..db03907 100644 --- a/docs/statistics/2-2d-descison-boundary.html +++ b/docs/statistics/2-2d-descison-boundary.html @@ -213,6 +213,18 @@ 13-understanding-bayes
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  • diff --git a/statistics/14-unicode-plot.qmd b/statistics/14-unicode-plot.qmd new file mode 100644 index 0000000..1237f8d --- /dev/null +++ b/statistics/14-unicode-plot.qmd @@ -0,0 +1,17 @@ +--- +title: "14-unicode-plot-method" +author: math4mad +code-fold: true +--- + +:::{.callout-note title="简介"} + 使用[Readme ·UnicodePlots.jl](https://docs.juliahub.com/UnicodePlots/Ctj9q/2.7.0/) + 以字符形式作图 +::: + +```{julia} +using Plots,UnicodePlots +data=[21, 17, 21, 18, 22, 31, 31, 34, 34, 35, 35, 36, 39, 36,35] +plt=scatterplot(data) +show(plt) +``` \ No newline at end of file diff --git a/statistics/15-bubble-plot.qmd b/statistics/15-bubble-plot.qmd new file mode 100644 index 0000000..c27846c --- /dev/null +++ b/statistics/15-bubble-plot.qmd @@ -0,0 +1,37 @@ +--- +title: "15-bubble-plot" +author: math4mad +code-fold: true +--- + +:::{.callout-note title="简介"} +### Bubble plot +ref [csv](https://www.lock5stat.com/datasets3e/BodyFat.csv) + +::: + +## 1. load pacakge +```{julia} +using GLMakie,CSV,DataFrames,GLMakie,LinearAlgebra,Pipe +``` + +## 2. load data->dataframe +```{julia} +feature=["Height","Weight","Bodyfat"] +data=@pipe CSV.File("./data/BodyFat.csv")|>DataFrame|>dropmissing|>select(_,feature) +first(data,10) +``` + +## 3. plot bubble img +```{julia} + function plot_bubble() + fig=Figure() + ax=Axis(fig[1,1];title="Bubble size: BodyFat",xlabel="$(feature[1])",ylabel="$(feature[2])") + Box(fig[1,1];color = (:orange,0.1),strokewidth=0.5) + scatter!(ax,data[!,1],data[!,2],markersize=data[!,3].*2,color=(:blue,0.2),strokewidth=3,strokecolor=:black) + fig + #save("Bubble-size-BodyFat.png",fig) + end + + plot_bubble() +``` \ No newline at end of file diff --git a/statistics/data/BodyFat.csv b/statistics/data/BodyFat.csv new file mode 100644 index 0000000..27cb34d --- /dev/null +++ b/statistics/data/BodyFat.csv @@ -0,0 +1,101 @@ +Bodyfat,Age,Weight,Height,Neck,Chest,Abdomen,Ankle,Biceps,Wrist +32.3,41,247.25,73.5,42.1,117,115.6,26.3,37.3,19.7 +22.5,31,177.25,71.5,36.2,101.1,92.4,24.6,30.1,18.2 +22,42,156.25,69,35.5,97.8,86,24,31.2,17.4 +12.3,23,154.25,67.75,36.2,93.1,85.2,21.9,32,17.1 +20.5,46,177,70,37.2,99.7,95.6,22.5,29.1,17.7 +22.6,54,198,72,39.9,107.6,100,22,35.9,18.9 +28.7,43,200.5,71.5,37.9,107.2,103.1,23.7,32.1,18.7 +21.3,42,163,70.25,35.3,93.5,89.6,21.9,30.7,17.4 +29.9,37,241.25,71.5,42.1,119.2,110.3,24.8,34.4,18.4 +21.3,41,218.5,71,39.8,111.7,100.5,25.2,37.5,18.7 +29.9,65,189.75,65.75,40.8,106.4,100.5,24,35.9,19.1 +20.4,41,210.5,72,38.5,107.4,98.9,23.5,36.4,19.1 +16.9,36,176.25,71.5,38.7,98.2,90.3,21.5,32.4,17.8 +14.7,40,160.25,68.75,36.9,99.3,83.3,22.6,34.4,17.6 +10.8,40,133.5,67.5,33.6,88.2,73.7,22.5,27.9,17.3 +26.7,58,161.75,67.25,35.1,94.9,94.9,21,27.8,17.6 +11.3,50,162.5,66.5,38.7,99.4,86.7,23.3,30.6,18.2 +18.1,44,187.5,72.25,38,101.8,87.5,24.5,32.1,18 +8.8,55,146.75,68.75,38.7,88.5,82.8,21.6,30.3,18.3 +11.8,61,143,65.75,36.5,93.4,83.3,20.9,29.4,16.8 +11,70,134.25,67,34.9,89.2,83.6,21.5,25.6,18.5 +14.9,42,165.25,69.75,38.3,96.2,87,22.2,31.6,17.7 +31.9,74,207.5,70,40.8,112.4,108.5,24.6,33.7,20.9 +17.3,43,194,75.5,38.5,110.1,88.7,24.8,35.1,19.2 +30.7,54,193.25,70.25,38,107.6,102.4,23.6,32.7,19.1 +40.1,49,191.75,65,38.4,118.5,113.1,21.9,32,17 +34.5,45,262.75,68.75,43.2,128.3,126.2,26.6,36.4,21.4 +23.3,52,167,67.75,37.5,102.7,91,22.3,31.6,17.9 +6,44,184,74,37.9,100.8,89.1,24,32.9,18.4 +24.5,52,199.25,71.75,39.4,106.8,100,22.9,35.7,19.2 +19.3,43,200.25,73.5,38.6,105.2,102.8,23.5,30.5,18.1 +18.3,40,173.25,69.5,36.5,99.5,93,22,32,17.8 +24.2,40,202.25,70,38.5,106.5,100.9,22.6,35.1,19 +25.3,44,185.25,71.5,39.5,99.2,98.1,23.2,33,18.4 +8.5,47,165.25,70.5,37.5,97.2,83.1,22.1,30.1,18.4 +16.5,33,211.75,73.5,40,106.2,100.5,24,37.1,18.2 +11.4,41,153,69.25,36.4,91.4,80.6,21.8,29.6,17.9 +11.5,40,145.75,67.25,35.5,95.5,83.6,21.8,31.4,17.2 +22.4,40,168.25,71.25,34.3,98.3,88.5,22.5,31.7,17.6 +27,70,170.75,70,38.7,101.8,94.9,24.1,31.2,19.2 +20.8,40,192.25,73.25,39.8,103.9,93.5,21.8,33.3,18.1 +16.7,40,158,69.25,36.3,97,86.6,22.1,29.8,17.3 +19.6,26,241.75,74.5,41.8,108.3,102.9,25.1,38.5,19.6 +32.8,47,195,72.5,40.2,102.7,101.3,23.3,36.7,18.4 +13.9,51,179,72,41,99.2,90,23.3,33.4,19.5 +27.2,42,177.5,68.75,38.9,98.7,92.1,22.2,33.8,17.2 +19.1,28,179,68,39.1,103.3,95.9,22.1,32.5,18.4 +31.6,48,217,70,37.3,113.3,111.2,25,36.7,18.4 +13.6,51,149.25,69.75,34.8,92.8,81.1,21.5,31.3,17.8 +20.5,35,177.25,71,38.4,100.5,90.3,22.4,31,17.7 +9.9,37,145.25,69.25,36,96.8,79.4,22.2,31,16.9 +25.2,55,198.5,74.25,38.3,105.3,96.7,23.4,33.2,18.4 +3.9,42,136.25,67.5,37.8,87.6,77.6,22.5,27.7,18.5 +9.4,31,151.25,72.25,35,94,81.2,21,27,16.5 +12.4,64,155.25,69.5,37.9,95.8,82.8,22.3,29.8,18.3 +21.8,39,166.75,70.75,37,92.9,86.1,22.4,32.7,17.1 +26.1,62,216,73.25,41.4,112.3,104.8,23.1,36.2,20.2 +25.8,61,178,67,37.4,105.3,99.7,22.7,33.6,18.8 +14.8,55,169.5,68.25,37.2,101.7,91.1,22.6,33.4,18.8 +13.8,50,161,66.5,37.7,98.9,84.1,23.5,34.4,18 +22.9,31,148,67.5,38.8,97.4,88.7,21,29.2,17 +13.6,45,135.75,68.5,32.8,92.3,83.4,20.6,28.8,16.3 +4.1,25,191,74,38.1,100.9,82.5,23.8,35.9,18.2 +24.4,41,168.25,69.5,36.5,98.4,87.2,23,34,18.1 +5.3,25,143.75,72.5,35.2,92.3,76.5,22,25.8,16.9 +23.6,41,232.75,74.25,41.9,117.5,109.3,24.7,37.2,20 +21.5,54,151.5,70.75,35.6,90,83.9,21.7,29.6,17.4 +5.6,39,148.5,71.25,34.6,89.8,79.5,21.9,28.8,17.9 +15.6,31,140.25,68.25,33.9,86,76.4,22.2,27.9,16.7 +8,51,137.25,67.75,36.5,89.7,82,21.4,29.6,16.9 +10.6,57,147.75,65.75,35.2,99.6,86.4,21.3,31.7,16.9 +6.3,49,152.75,73.5,35.1,93.3,79.6,22.6,38.5,18.5 +5.2,55,142.25,67.25,35.2,92.7,82.8,22.5,29.4,17 +20.4,48,173.75,72,37,99.1,92,22.4,27.9,17 +24.8,62,191.5,72.25,40.6,104,98.2,23,32.6,19 +25.3,36,226.75,71.75,41.5,115.3,108.8,24,35.4,20.1 +18.2,44,179.75,69.5,39.2,101.9,93.2,23.1,31.4,18.8 +26.8,64,150.25,67.25,38.1,97.1,89,22,29.9,17.7 +26,54,230,72.25,42.5,119.9,110.4,27,38.4,19.6 +9.4,26,152.25,69,35.4,92.9,77.6,20.4,31.6,17.8 +17,65,127.5,65.75,34.7,93,79.7,20.1,28.5,16.5 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