Start exploring screen data.

.gitignore

@@ -1,2 +1,2 @@
 /.env
-/config/.ipynb_checkpoints/
+*/.ipynb_checkpoints/

exploration/screen.ipynb

@@ -0,0 +1,80 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os, sys\n",
+    "nb_dir = os.path.split(os.getcwd())[0]\n",
+    "if nb_dir not in sys.path:\n",
+    "    sys.path.append(nb_dir)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "\n",
+    "from config.models import Participant, Screen\n",
+    "from setup import db_engine, session"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "query_screen = (\n",
+    "        session.query(Screen, Participant.username)\n",
+    "        .filter(Participant.id == Screen.participant_id)\n",
+    "        .filter(Participant.username.in_([\"nokia_0000003\"]))\n",
+    "    )\n",
+    "with db_engine.connect() as connection:\n",
+    "        df_screen = pd.read_sql(query_screen.statement, connection)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "print(df_screen)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "straw2analysis",
+   "language": "python",
+   "name": "straw2analysis"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.1"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}