diff --git a/.gitignore b/.gitignore
new file mode 100644
index 0000000..2dd0db8
--- /dev/null
+++ b/.gitignore
@@ -0,0 +1,3 @@
+.ipynb_checkpoints
+.DS_Store
+__pycache__
diff --git a/README.md b/README.md
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index 0000000..f818345
--- /dev/null
+++ b/README.md
@@ -0,0 +1,5 @@
+# Heart Rate Note
+
+Make a heart rate note using Apple Health data from Apple Watch.
+
+
diff --git a/export_sample.xml b/export_sample.xml
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index 0000000..36ead93
--- /dev/null
+++ b/export_sample.xml
@@ -0,0 +1,798 @@
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diff --git a/heart_rate_plot.ipynb b/heart_rate_plot.ipynb
new file mode 100644
index 0000000..f350101
--- /dev/null
+++ b/heart_rate_plot.ipynb
@@ -0,0 +1,470 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import re\n",
+ "import pandas as pd\n",
+ "import seaborn as sns\n",
+ "import matplotlib.pyplot as plt\n",
+ "plt.style.use('dark_background')"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# file_path = 'export_sample.xml'\n",
+ "file_path = '/Users/brad/Downloads/apple_health_export/내보내기.xml'"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## XML to Pandas DataFrame\n",
+ "\n",
+ "https://github.com/minimaxir/get-heart-rate-csv"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "metadata": {
+ "scrolled": true
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "\n",
+ "
\n",
+ " \n",
+ " \n",
+ " | \n",
+ " bpm | \n",
+ "
\n",
+ " \n",
+ " | date | \n",
+ " | \n",
+ "
\n",
+ " \n",
+ " \n",
+ " \n",
+ " | 2021-11-03 15:08:00 | \n",
+ " 67 | \n",
+ "
\n",
+ " \n",
+ " | 2021-11-03 15:09:46 | \n",
+ " 72 | \n",
+ "
\n",
+ " \n",
+ " | 2021-11-03 15:14:18 | \n",
+ " 68 | \n",
+ "
\n",
+ " \n",
+ " | 2021-11-03 15:14:50 | \n",
+ " 64 | \n",
+ "
\n",
+ " \n",
+ " | 2021-11-03 15:23:02 | \n",
+ " 68 | \n",
+ "
\n",
+ " \n",
+ "
\n",
+ "
"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "plt.figure(figsize=(20, 8))\n",
+ "sns.lineplot(x=df.index, y=df.bpm)\n",
+ "plt.show()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## KDE Plot"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "plt.figure(figsize=(12, 8))\n",
+ "sns.kdeplot(x=df.bpm, fill=True)\n",
+ "plt.show()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Filter by Date"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 6,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "\n",
+ "
\n",
+ " \n",
+ " \n",
+ " | \n",
+ " bpm | \n",
+ "
\n",
+ " \n",
+ " | date | \n",
+ " | \n",
+ "
\n",
+ " \n",
+ " \n",
+ " \n",
+ " | 2021-11-08 10:32:38 | \n",
+ " 86 | \n",
+ "
\n",
+ " \n",
+ " | 2021-11-08 10:35:05 | \n",
+ " 95 | \n",
+ "
\n",
+ " \n",
+ " | 2021-11-08 10:38:10 | \n",
+ " 114 | \n",
+ "
\n",
+ " \n",
+ " | 2021-11-08 10:42:59 | \n",
+ " 80 | \n",
+ "
\n",
+ " \n",
+ " | 2021-11-08 10:43:57 | \n",
+ " 77 | \n",
+ "
\n",
+ " \n",
+ " | ... | \n",
+ " ... | \n",
+ "
\n",
+ " \n",
+ " | 2021-11-08 21:38:51 | \n",
+ " 65 | \n",
+ "
\n",
+ " \n",
+ " | 2021-11-08 21:45:01 | \n",
+ " 63 | \n",
+ "
\n",
+ " \n",
+ " | 2021-11-08 21:47:57 | \n",
+ " 62 | \n",
+ "
\n",
+ " \n",
+ " | 2021-11-08 21:50:43 | \n",
+ " 68 | \n",
+ "
\n",
+ " \n",
+ " | 2021-11-08 22:02:47 | \n",
+ " 75 | \n",
+ "
\n",
+ " \n",
+ "
\n",
+ "
174 rows × 1 columns
\n",
+ "