DataFrame: rowsCount = 3, columnsCount = 9
\n", " \n", " \n", " " ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "var data = DataFrame.readCSV(\"https://raw.githubusercontent.com/JetBrains/lets-plot-kotlin/master/docs/examples/data/mpg2.csv\")\n", "data.head(3)\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### One plot\n", "\n", "Create a scatter plot to show how `mpg` is related to a car's `engine horsepower`.\n", "\n", "Also use the `color` aesthetic to vizualise the region where a car was designed." ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "data": { "text/html": [ " \n", " " ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "val p = letsPlot(data.toMap()) {x=\"engine horsepower\"; y=\"miles per gallon\"} + \n", " geomPoint {color=\"origin of car\"} +\n", " themeGrey()\n", "p + ggsize(800, 350)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### More dimentions\n", "\n", "There are two functions for faceting:\n", "\n", " - facetGrid()\n", " - facetWrap()\n", "\n", "The former creates 2-D matrix of plot panels and latter creates 1-D strip of plot panels.\n", "\n", "We'll be using the `number of cylinders` variable as 1st fatceting variable, and sometimes the `origin of car` as a 2nd fatceting variable. " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### facetGrid()\n", "\n", "The data can be split up by one or two variables that vary on the X and/or Y direction." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### One facet\n", "\n", "Let's split up the data by `number of cylinders`." ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "text/html": [ " \n", " " ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "p + facetGrid(x=\"number of cylinders\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Two facets\n", "\n", "Split up the data by two faceting variables: `number of cylinders` and `origin of car`." ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "text/html": [ " \n", " " ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "p + facetGrid(x=\"number of cylinders\", y=\"origin of car\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Formatting and sorting.\n", "\n", "Apply a formatting template to the `number of cylinders` and\n", "sort the `origin of car` values in discending order.\n", "\n", "To learn more about formatting templates see: [Formatting](https://github.com/JetBrains/lets-plot-kotlin/blob/master/docs/formats.md). " ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "text/html": [ " \n", " " ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "p + facetGrid(x=\"number of cylinders\", y=\"origin of car\", xFormat=\"{d} cyl\", yOrder=-1)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### facetWrap()\n", "\n", "The data can be split up by one or more variables. \n", "The panels layout is flexible and controlled by `ncol`, `nrow` and `dir` options." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### One facet\n", "\n", "Split data by the `number of cylinders` variable and arrange tiles in two rows." ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "data": { "text/html": [ " \n", " " ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ "p + facetWrap(facets=\"number of cylinders\", nrow=2)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Two facets\n", "\n", "Split data by `origin of car` and `number of cylinders` and arrange tiles in 5 columns." ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "data": { "text/html": [ " \n", " " ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ "p + facetWrap(facets=listOf(\"origin of car\", \"number of cylinders\"), ncol=5)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Arrange panels vertically.\n", "\n", "Use the `dir` parameter to arrange tiles by columns, in 3 columns (the default tile arrangment is \"by row\").\n", "\n", "Also, format `number of cylinders` labels and reverse the sorting direction for this facetting variable." ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "data": { "text/html": [ " \n", " " ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ "p + facetWrap(facets=listOf(\"origin of car\", \"number of cylinders\"), \n", " ncol=3,\n", " format=listOf(null, \"{} cyl\"),\n", " order=listOf(1, -1),\n", " dir=\"v\")" ] } ], "metadata": { "kernelspec": { "display_name": "Kotlin", "language": "kotlin", "name": "kotlin" }, "language_info": { "codemirror_mode": "text/x-kotlin", "file_extension": ".kt", "mimetype": "text/x-kotlin", "name": "kotlin", "nbconvert_exporter": "", "pygments_lexer": "kotlin", "version": "1.8.20" } }, "nbformat": 4, "nbformat_minor": 4 }