Created using Colab

dssg · Jun 29, 2024 · 9c32cef · 9c32cef
1 parent 353d15f
commit 9c32cef
Showing 1 changed file with 38 additions and 3 deletions.
diff --git a/explore_emr.ipynb b/explore_emr.ipynb
@@ -4,7 +4,7 @@
   "metadata": {
     "colab": {
       "provenance": [],
-      "authorship_tag": "ABX9TyMRTykI7jsSzlNiSW8lPrdu",
+      "authorship_tag": "ABX9TyP7oVBlkEgg7lPXKoi30T9g",
       "include_colab_link": true
     },
     "kernelspec": {
@@ -122,6 +122,27 @@
       "execution_count": null,
       "outputs": []
     },
+    {
+      "cell_type": "code",
+      "source": [],
+      "metadata": {
+        "id": "FDxz75GNOGjD"
+      },
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "# Want other packages?\n",
+        "If you need to install any other python modules for your analysis, you can easily do so from a code block by prefixing your pip install command with an ! character. For instance:\n",
+        "\n",
+        "!pip install PyYAML"
+      ],
+      "metadata": {
+        "id": "LKVfB0W7OC_h"
+      }
+    },
     {
       "cell_type": "markdown",
       "source": [
@@ -159,6 +180,17 @@
       "execution_count": null,
       "outputs": []
     },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "# Querying the Database\n",
+        "\n",
+        "The code block above used the sqlalchemy module to create a connection to the database called db_engine. An easy way to run SQL queries against this database is to use the read_sql command provided by pandas. For instance, if you run the example below, it should return the rows fom the **patients** table:"
+      ],
+      "metadata": {
+        "id": "sT5Kk9BQNypD"
+      }
+    },
     {
       "cell_type": "markdown",
       "source": [
@@ -285,7 +317,10 @@
     {
       "cell_type": "markdown",
       "source": [
-        "# Homework Assignment"
+        "# Homework Assignment\n",
+        "\n",
+        "---\n",
+        "\n"
       ],
       "metadata": {
         "id": "ggqBIwKJvoP4"
@@ -294,7 +329,7 @@
     {
       "cell_type": "markdown",
       "source": [
-        "**Question 1: Diagnoses**\n",
+        "# **Question 1: Diagnoses**\n",
         "\n",
         "1A. What are the 10 most common diagnoses (names of the diagnosis - not just the code) in this sample data?\n",
         "Hint: you'll need to look at the **icd_diagnoses** table to get diagnosis codes and the **d_icd_diagnoses** table to get the english descriptions."