diff --git a/{{ cookiecutter.repo_name }}/nbs/.gitkeep b/{{ cookiecutter.repo_name }}/nbs/.gitkeep
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diff --git a/{{ cookiecutter.repo_name }}/nbs/mjc_001_EDA.ipynb b/{{ cookiecutter.repo_name }}/nbs/mjc_001_EDA.ipynb
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+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "1b44551e",
+   "metadata": {},
+   "source": [
+    "# Exploratory Data Analysis\n",
+    "\n",
+    "Hypothesis: What is this notebook about?"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "198de680",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2022-06-28T02:34:01.879987Z",
+     "start_time": "2022-06-28T02:34:01.864103Z"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "# autoreload your package\n",
+    "%load_ext autoreload\n",
+    "%autoreload 2\n",
+    "import {{ cookiecutter.project_name.lower().replace(' ', '_') }}\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a372ed7c",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2022-06-28T02:34:02.470436Z",
+     "start_time": "2022-06-28T02:34:02.424826Z"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "## secrets\n",
+    "from dotenv import load_dotenv\n",
+    "load_dotenv()  # take environment variables from .env.\n",
+    "\n",
+    "import warnings\n",
+    "# warnings.simplefilter(\"ignore\")\n",
+    "warnings.filterwarnings(\"ignore\", \".*does not have many workers.*\")\n",
+    "warnings.filterwarnings(\"ignore\", \".*divide by zero.*\")\n",
+    "\n",
+    "## numeric, plotting\n",
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "%matplotlib inline\n",
+    "plt.style.use('ggplot')\n",
+    "plt.rcParams['figure.figsize'] = (7.0, 4)\n",
+    "\n",
+    "## utils\n",
+    "from pathlib import Path\n",
+    "from tqdm.auto import tqdm\n",
+    "import logging, os, re\n",
+    "import collections, functools, itertools\n",
+    "\n",
+    "# torch\n",
+    "import pytorch_lightning as pl\n",
+    "from einops import rearrange, repeat, reduce\n",
+    "import torch\n",
+    "import torch.nn as nn\n",
+    "\n",
+    "# logging\n",
+    "from loguru import logger\n",
+    "logger.remove()\n",
+    "logger.add(os.sys.stdout, level=\"ERROR\", colorize=True, format=\"<level>{time} | {message}</level>\")\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "54a03c3a",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "64890012",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2022-06-28T02:34:02.890216Z",
+     "start_time": "2022-06-28T02:34:02.882249Z"
+    }
+   },
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "1d4da6fa",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "6d102e3d",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3.10.4 64-bit",
+   "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": "3.10.12"
+  },
+  "toc": {
+   "base_numbering": 1,
+   "nav_menu": {},
+   "number_sections": true,
+   "sideBar": true,
+   "skip_h1_title": false,
+   "title_cell": "Table of Contents",
+   "title_sidebar": "Contents",
+   "toc_cell": false,
+   "toc_position": {},
+   "toc_section_display": true,
+   "toc_window_display": false
+  },
+  "vscode": {
+   "interpreter": {
+    "hash": "916dbcbb3f70747c44a77c7bcd40155683ae19c65e1c03b4aa3499c5328201f1"
+   }
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}