{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "[![Binder](img/badge-binder.svg)](https://mybinder.org/v2/gh/nhirschey/teaching/gh-pages?filepath=football-plotting.ipynb)\u0026emsp;\n", "[![Script](img/badge-script.svg)](/Teaching//football-plotting.fsx)\u0026emsp;\n", "[![Notebook](img/badge-notebook.svg)](/Teaching//football-plotting.ipynb)\n", "\n", "# Transformations and Plotting\n", "\n", "\u003e Developed with [Davide Costa](https://github.com/DavideGCosta)\n", "\u003e \n", "\n", "### Reference needed nuget packages and open namespaces\n", "\n" ] } , { "cell_type": "code", "metadata": { "dotnet_interactive": { "language": "fsharp" }, "polyglot_notebook": { "kernelName": "fsharp" } }, "execution_count": 4, "outputs": [], "source": [ "#r \"nuget: FSharp.Data, 5.0.2\"\n", "#r \"nuget: FSharp.Stats, 0.5.0\"\n", "#r \"nuget: Plotly.NET, 3.*\"\n", "#r \"nuget: Plotly.NET.Interactive, 3.*\"\n", "\n", "open FSharp.Data\n", "open FSharp.Stats\n", "open FSharp.Stats.Correlation\n", "open Plotly.NET\n" ] } , { "cell_type": "markdown", "metadata": {}, "source": [ "### Load the Csv file.\n", "\n" ] } , { "cell_type": "code", "metadata": { "dotnet_interactive": { "language": "fsharp" }, "polyglot_notebook": { "kernelName": "fsharp" } }, "execution_count": 5, "outputs": [], "source": [ "let [\u003cLiteral\u003e] CsvPath = __SOURCE_DIRECTORY__ + \"/FootballPlayers.csv\"\n", "type FootballPlayersCsv = CsvProvider\u003cCsvPath\u003e\n", "\n", "let playerStatsTable = \n", " FootballPlayersCsv.GetSample().Rows\n", " |\u003e Seq.toList\n" ] } , { "cell_type": "markdown", "metadata": {}, "source": [ "## EXERCISES - PART 3\n", "\n", "* [List Functions and Plotting.](#List-Functions-and-Plotting)\n", " \n", "\n", " 0 [Example: From playerStatsTable create a bar chart with the sum of GoalsScored (y-axis) by League (x-axis)](#1-Example-From-playerStatsTable-create-a-bars-chart-with-the-sum-of-GoalsScored-y-axis-by-League-x-axis)\n", " \n", " \n", " 1 [From playerStatsTable create a bar chart with the sum of GoalsScored (y-axis) by Age(x-axis)](#2-From-playerStatsTable-create-a-bars-chart-with-the-sum-of-GoalsScored-y-axis-by-Age-x-axis)\n", " \n", " \n", " 2 [Example: From playerStatsTable create a bars chart with the Average of GoalsScored (y-axis) by League (x-axis)](#3-Example-From-playerStatsTable-create-a-bars-chart-with-the-Average-of-GoalsScored-y-axis-by-League-x-axis)\n", " \n", " \n", " 3 [From playerStatsTable create a bars chart with the average GoalsScored (y-axis) by Age(x-axis)](#4-From-playerStatsTable-create-a-bars-chart-with-the-average-GoalsScored-per-Match-Played-y-axis-by-Age-x-axis-only-for-Fowrward-Players)\n", " \n", " \n", "\n", "## List Functions and Plotting\n", "\n", "Now that you know how to work with the dataset using the most common List functions, we still need to practice how to create usefull plots with the data.\n", "\n", "For plotting in F# we load `Plotly.NET` nuget and open the `Plotly.NET` namespace.\n", "Documentation links:\n", "\n", "* [Plotly.NET General Documentation](https://plotly.net/)\n", "\n", "* [Plotly.NET bar and column charts Documentation](https://plotly.net/2_1_bar-and-column-charts.html)\n", "\n", "* [Plotly.NET line and scatter plots Documentation](https://plotly.net/2_0_line-scatter-plots.html)\n", "\n", "It will be helpfull to check the documentation before starting the exercises.\n", "\n", "### 1 Example: From playerStatsTable create a bar chart with the sum of GoalsScored (y-axis) by League (x-axis).\n", "\n" ] } , { "cell_type": "code", "metadata": { "dotnet_interactive": { "language": "fsharp" }, "polyglot_notebook": { "kernelName": "fsharp" } }, "execution_count": 6, "outputs": [], "source": [ "let sumGoalsScoredByLeague = \n", " playerStatsTable\n", " |\u003e List.groupBy(fun x -\u003e x.League)\n", " |\u003e List.map(fun (league, playerStats) -\u003e \n", " (league,\n", " playerStats |\u003e List.sumBy(fun x -\u003e x.GoalsScored)))\n", "\n", "let sumGoalsScoredByLeagueChart =\n", " sumGoalsScoredByLeague\n", " |\u003e Chart.Column\n", " |\u003e Chart.withYAxisStyle(\"Sum of Goals Scored\")\n", " |\u003e Chart.withXAxisStyle(\"Top 5 Football Leagues\")\n", " |\u003e Chart.withTitle(\"Sum of Goals Scored by League\")\n" ] } , { "cell_type": "code", "metadata": { "dotnet_interactive": { "language": "fsharp" }, "polyglot_notebook": { "kernelName": "fsharp" } }, "execution_count": null, "outputs": [ { "data": { "text/html": ["\u003cdiv id=\"07fe0f67-f67f-4a58-a033-6e2194cd904c\"\u003e\u003c!-- Plotly chart will be drawn inside this DIV --\u003e\u003c/div\u003e", "", "\u003cscript type=\"text/javascript\"\u003e", "", "", "", " var renderPlotly_07fe0f67f67f4a58a0336e2194cd904c = function() {", "", " var fsharpPlotlyRequire = requirejs.config({context:\u0027fsharp-plotly\u0027,paths:{plotly:\u0027https://cdn.plot.ly/plotly-2.6.3.min\u0027}}) || require;", "", " fsharpPlotlyRequire([\u0027plotly\u0027], function(Plotly) {", "", "", 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{", "", " renderPlotly_07fe0f67f67f4a58a0336e2194cd904c();", "", " }", "", "\u003c/script\u003e", "", ""] }, "execution_count": null, "metadata": {}, "output_type": "execute_result" }], "source": [ "sumGoalsScoredByLeagueChart\n" ] } , { "cell_type": "markdown", "metadata": {}, "source": [ "### 2 From playerStatsTable create a bar chart with the sum of GoalsScored (y-axis) by Age(x-axis).\n", "\n", "Hints:\n", "\n", "* Group `playerStatsTable` by `Age` using `List.groupBy`.\n", "\n", "* Map the returned List of tuples, into an List of tuples with two elements.\n", "\n", " * First element: age. The first element of the `List.groupBy` output. Which corresponds to the Age groups.\n", " \n", " * Second element: sum of goals scored by `Age`, use `List.sumBy` applied to the second element of the `List.groupBy` output. Which corresponds to all the rows per `Age` group.\n", " \n", "\n", "* Then, store this new List of tuples to a variable. 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240, 248, 1.0)\"},\"line\":{\"color\":\"rgba(255, 255, 255, 1.0)\"}},\"header\":{\"fill\":{\"color\":\"rgba(200, 212, 227, 1.0)\"},\"line\":{\"color\":\"rgba(255, 255, 255, 1.0)\"}}}]}},\"yaxis\":{\"title\":{\"text\":\"Sum of Goals Scored\"}},\"xaxis\":{\"title\":{\"text\":\"Age\"}},\"title\":{\"text\":\"Sum of Goals Scored by Age\"}};\n", " var config = {\"responsive\":true};\n", " Plotly.newPlot(\u002718ba1b9e-42e4-4e31-9fa1-9f700dd1ffb6\u0027, data, layout, config);\n", "});\n", " };\n", " if ((typeof(requirejs) !== typeof(Function)) || (typeof(requirejs.config) !== typeof(Function))) {\n", " var script = document.createElement(\"script\");\n", " script.setAttribute(\"src\", \"https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.6/require.min.js\");\n", " script.onload = function(){\n", " renderPlotly_18ba1b9e42e44e319fa19f700dd1ffb6();\n", " };\n", " document.getElementsByTagName(\"head\")[0].appendChild(script);\n", " }\n", " else {\n", " renderPlotly_18ba1b9e42e44e319fa19f700dd1ffb6();\n", " }\n", "\u003c/script\u003e\n", "\n", "\u003c/details\u003e\n", "\u003c/span\u003e\n", "\u003c/p\u003e\n", "\u003c/div\u003e\n", "\n" ] } , { "cell_type": "code", "metadata": { "dotnet_interactive": { "language": "fsharp" }, "polyglot_notebook": { "kernelName": "fsharp" } }, "execution_count": null, "outputs": [], "source": [ "// write your code here, see website for solution.\n" ] } , { "cell_type": "markdown", "metadata": {}, "source": [ "### 3 Example: From playerStatsTable create a bar chart with the Average of GoalsScored (y-axis) by League (x-axis).\n", "\n" ] } , { "cell_type": "code", "metadata": { "dotnet_interactive": { "language": "fsharp" }, "polyglot_notebook": { "kernelName": "fsharp" } }, "execution_count": 11, "outputs": [], "source": [ "let averageGoalsScoredByLeague = \n", " playerStatsTable\n", " |\u003e List.groupBy(fun x -\u003e x.League)\n", " |\u003e List.map(fun (league, playerStats) -\u003e \n", " (league,\n", " playerStats |\u003e List.averageBy(fun x -\u003e float x.GoalsScored)))\n", "\n", "let averageGoalsScoredByLeagueChart = \n", " averageGoalsScoredByLeague\n", " |\u003e Chart.Column\n", " |\u003e Chart.withYAxisStyle(\"Average of Goals Scored\")\n", " |\u003e Chart.withXAxisStyle(\"Top 5 Football Leagues\")\n", " |\u003e Chart.withTitle(\"Average of Goals Scored by League\")\n" ] } , { "cell_type": "code", "metadata": { "dotnet_interactive": { "language": "fsharp" }, "polyglot_notebook": { "kernelName": "fsharp" } }, "execution_count": null, "outputs": [ { "data": { "text/html": ["\u003cdiv id=\"59ac7b35-ee89-4727-a99a-60852cb6847e\"\u003e\u003c!-- Plotly chart will be drawn inside this DIV --\u003e\u003c/div\u003e", "", "\u003cscript type=\"text/javascript\"\u003e", "", "", "", " var renderPlotly_59ac7b35ee894727a99a60852cb6847e = function() {", "", " var fsharpPlotlyRequire = 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" else {", "", " renderPlotly_59ac7b35ee894727a99a60852cb6847e();", "", " }", "", "\u003c/script\u003e", "", ""] }, "execution_count": null, "metadata": {}, "output_type": "execute_result" }], "source": [ "averageGoalsScoredByLeagueChart\n" ] } , { "cell_type": "markdown", "metadata": {}, "source": [ "### 4 From playerStatsTable create a bars chart with the average GoalsScored per Match Played(y-axis) by Age(x-axis) only for Forward Players.\n", "\n", "Hints:\n", "\n", "* Filter `playerStatsTable` by `Position` to get only forward position (`Position = \"FW\"`), use `List.Filter`.\n", " \n", "\n", "* Group `playerStatsTable` by `Age` using `List.groupBy`.\n", " \n", "\n", "* Map the returned List of tuples, into an List of tuples with two elements.\n", " \n", "\n", " * First element: age --\u0026gt; The first element of the `List.groupBy` output. Which corresponds to the Age groups.\n", " \n", " \n", " * Second element: sum of total GoalsScored divided by the total games played by age.\n", "Note that you can get the total games played by using `List.sumBy(fun x -\u003e x.MatchesPlayed)`.\n", "Also remember to transform the variables to `floats` before dividing to get the exact results.\n", " \n", " \n", "\n", "* Then, store this new List of tuples to a variable. 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