diff --git a/examples/notebooks/titanic/Titanic.ipynb b/examples/notebooks/titanic/Titanic.ipynb index 7e4fce88a5..79a1135b51 100644 --- a/examples/notebooks/titanic/Titanic.ipynb +++ b/examples/notebooks/titanic/Titanic.ipynb @@ -5,54 +5,14 @@ "execution_count": 1, "metadata": { "ExecuteTime": { - "end_time": "2023-12-05T11:12:08.986555226Z", - "start_time": "2023-12-05T11:11:56.436113158Z" + "end_time": "2023-12-21T18:40:03.098043121Z", + "start_time": "2023-12-21T18:39:56.400786438Z" } }, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - " " - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "%useLatestDescriptors\n", - "%use dataframe, lets-plot" + "%use dataframe, kandy" ] }, { @@ -60,678 +20,23 @@ "execution_count": 2, "metadata": { "ExecuteTime": { - "end_time": "2023-12-05T11:12:15.162136471Z", - "start_time": "2023-12-05T11:12:08.742280317Z" + "end_time": "2023-12-21T18:40:03.888697596Z", + "start_time": "2023-12-21T18:40:03.095976308Z" } }, "outputs": [ { "data": { - "text/html": [ - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
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10Allison, Mrs. Hudson J C (Bessie Wald...female25.00000012113781151.550000C22 C26SnullnullMontreal, PQ / Chesterville, ON
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}, + "execution_count": 20, "metadata": {}, - "output_type": "execute_result", - "execution_count": 19 + "output_type": "execute_result" } ], "source": [ - "val plot = letsPlot(\n", - " survivedByAge\n", - " .convert { survived }.with { if (it == 1) \"Survived\" else \"Died\" }\n", - " .toMap()\n", - ")\n", - "\n", - "plot +\n", - " geomHistogram(\n", - " binWidth = 5,\n", - " alpha = 0.7,\n", - " position = positionDodge(),\n", - " ) { x = \"age\"; fill = \"survived\" } +\n", - " scaleFillManual(\n", - " values = listOf(colors[\"dark_grey\"]!!, colors[\"orange\"]!!),\n", - " ) +\n", - " ggsize(width = 850, height = 500)" - ] + "survivedByAge.groupBy { survived }" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2023-12-21T18:40:06.807180722Z", + "start_time": "2023-12-21T18:40:06.739332156Z" + } + } }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 21, + "outputs": [ + { + "data": { + "text/html": " \n \n \n \n \n \n \n \n \n \n \n \n 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y = \"age\"; fill = \"survived\" } +\n", - " scaleFillManual(values = listOf(colors[\"dark_grey\"]!!, colors[\"orange\"]!!)) +\n", - " ggsize(width = 500, height = 400)" - ] + "survivedByAge.plot { \n", + " boxplot(x = survived, y = age) {\n", + " boxes { \n", + " fillColor(Stat.x) { scale = categorical(\"Survived\" to JetBrainsColors.orange, \"Died\" to JetBrainsColors.darkGrey) }\n", + " }\n", + " }\n", + " layout { \n", + " size = 500 to 400\n", + " }\n", + "}" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2023-12-21T18:40:07.504452143Z", + "start_time": "2023-12-21T18:40:07.236436170Z" + } + } }, { "cell_type": "markdown", @@ -9285,686 +10929,22 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 25, "metadata": { "ExecuteTime": { - "end_time": "2023-12-05T11:12:28.079526575Z", - "start_time": "2023-12-05T11:12:24.922344734Z" + "end_time": "2023-12-21T18:40:08.137666915Z", + "start_time": "2023-12-21T18:40:07.426039068Z" } }, "outputs": [ { "data": { - "text/html": [ - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
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}, + "execution_count": 28, "metadata": {}, - "output_type": "execute_result", - "execution_count": 24 + "output_type": "execute_result" } ], "source": [ - "val titanicData = df2.flatten().toMap()\n", - "\n", - "val plots = listOf(\n", - " CorrPlot(titanicData, \"Tiles\")\n", - " .tiles()\n", - " .paletteGradient(colors[\"orange\"]!!, colors[\"light_grey\"]!!, colors[\"dark_grey\"]!!)\n", - " .build(),\n", - " CorrPlot(titanicData, \"Points\")\n", - " .points()\n", - " .paletteGradient(colors[\"orange\"]!!, colors[\"light_grey\"]!!, colors[\"dark_grey\"]!!)\n", - " .build(),\n", - " CorrPlot(titanicData, \"Tiles and labels\")\n", - " .tiles()\n", - " .labels()\n", - " .paletteGradient(colors[\"orange\"]!!, colors[\"light_grey\"]!!, colors[\"dark_grey\"]!!)\n", - " .build(),\n", - " CorrPlot(titanicData, \"Tiles, points and labels\").points().labels()\n", - " .tiles()\n", - " .paletteGradient(colors[\"orange\"]!!, colors[\"light_grey\"]!!, colors[\"dark_grey\"]!!)\n", - " .build()\n", - ")\n", - "val widths = listOf(700)\n", - "val heights = plots.map { 600 }\n", - "\n", - "gggrid(plots = plots, ncol = 1, widths = widths, heights = heights)" - ] + "val correlationTable = df2.corr { survived and sibsp and parch and age and fare }\n", + " .withItself()\n", + " .gather { allAfter(\"column\") }\n", + " .into(\"row\", \"value\")\n", + "correlationTable" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2023-12-21T18:40:08.673896853Z", + "start_time": "2023-12-21T18:40:08.338653745Z" + } + } + }, + { + "cell_type": "code", + "execution_count": 29, + "outputs": [], + "source": [ + "fun scaleContinuousColorGradientN() = continuousColorGradientN(\n", + " listOf(\n", + " JetBrainsColors.orange,\n", + " JetBrainsColors.lightGrey,\n", + " JetBrainsColors.darkGrey,\n", + " ), \n", + " domainMin = -1.0, \n", + " domainMax = 1.0\n", + ")" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2023-12-21T18:40:08.696300494Z", + 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survivednamesurname
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