Merge pull request #1 from hms-dbmi/master

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hms-dbmi · Aug 5, 2019 · 9a49fda · 9a49fda
2 parents 940622a + 6a22524
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diff --git a/materials/fds-audiences.pdf b/materials/fds-audiences.pdf
diff --git a/notebooks/flu_data_scaffold.ipynb b/notebooks/flu_data_scaffold.ipynb
@@ -0,0 +1,177 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Advanced Altair: Multiple Coordinated Views"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import altair as alt\n",
+    "import pandas as pd\n",
+    "import numpy as np"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>week</th>\n",
+       "      <th>continent</th>\n",
+       "      <th>country</th>\n",
+       "      <th>value</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1</td>\n",
+       "      <td>Asia</td>\n",
+       "      <td>Afghanistan</td>\n",
+       "      <td>5.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2</td>\n",
+       "      <td>Asia</td>\n",
+       "      <td>Afghanistan</td>\n",
+       "      <td>13.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>3</td>\n",
+       "      <td>Asia</td>\n",
+       "      <td>Afghanistan</td>\n",
+       "      <td>4.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>4</td>\n",
+       "      <td>Asia</td>\n",
+       "      <td>Afghanistan</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>5</td>\n",
+       "      <td>Asia</td>\n",
+       "      <td>Afghanistan</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   week continent      country  value\n",
+       "0     1      Asia  Afghanistan    5.0\n",
+       "1     2      Asia  Afghanistan   13.0\n",
+       "2     3      Asia  Afghanistan    4.0\n",
+       "3     4      Asia  Afghanistan    0.0\n",
+       "4     5      Asia  Afghanistan    0.0"
+      ]
+     },
+     "execution_count": 34,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "flu = pd.read_csv('flunet2010_11countries.csv', header=[0,1])\n",
+    "cols = flu.columns.tolist()\n",
+    "normed = pd.melt(flu, id_vars=[cols[0]], value_vars=cols[1:], var_name=['continent','country'])\n",
+    "normed = normed.rename(columns={normed.columns[0]: 'week'})\n",
+    "normed.head()\n",
+    "\n",
+    "# setup renderer for Jupyter Notebooks (not needed for Juptyer Lab)\n",
+    "alt.renderers.enable('notebook')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Visualization 1\n",
+    "\n",
+    "#### Create Linked Plots Showing Flu Cases per Country and Total Flu Cases per Week"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Selections:\n",
+    "* Click to select individual countries.\n",
+    "* Hold shift and click to select multiple countries.\n",
+    "* Brush barchart to narrow top view."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Visualization 2\n",
+    "\n",
+    "#### Create an Overview+Detail Plot Showing Flu Cases per Country"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Visualization 3\n",
+    "#### Create Linked Plots Showing Flu Cases per Country per Week and Total Flu Cases per Country\n",
+    "For this visualization we create two linked plots. One that shows flu cases per country per week and a second on that show the total of all flu cases per country."
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.6.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}