Add patient data hands-on

Author: gjbex

hands-on/README.md

@@ -0,0 +1,8 @@
+# Hands-on
+
+Here you find some notebooks that can be used during the training session
+to follow along, or for hands-on sessions.
+
+## What is it?
+  1.  [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/gjbex/Python-for-data-science/blob/master/hands-on/patient_data.ipynb) [`patient_data.ipynb`](patient_data.ipynb):      
+       illustrates using pandas for data analysis and seaborn for visualizations.

hands-on/patient_data.ipynb

@@ -46,13 +46,31 @@
     "## Experiment data"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "Read the data set as a pandas `DataFrame` from an Excel spreadsheet."
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "experiment_data = pd.read_excel('https://github.com/gjbex/Python-for-data-science/blob/master/source-code/pandas/data/patient_experiment.xlsx?raw=true')"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -249,6 +267,15 @@
     "There is a second file with metadata on the patients, let's read that as well. The file is `data/patient_metadata.xlsx`."
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "metadata = pd.read_excel('https://github.com/gjbex/Python-for-data-science/blob/master/source-code/pandas/data/patient_metadata.xlsx?raw=true')"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -444,7 +471,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.2"
+   "version": "3.7.5"
   }
  },
  "nbformat": 4,