diff --git a/spotify.ipynb b/spotify.ipynb
index a53b8ed..bd5e54d 100644
--- a/spotify.ipynb
+++ b/spotify.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 1,
    "id": "e9bf1d26",
    "metadata": {},
    "outputs": [],
@@ -17,7 +17,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 2,
    "id": "11bb5dc2",
    "metadata": {},
    "outputs": [],
@@ -56,7 +56,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 3,
    "id": "a898326e",
    "metadata": {},
    "outputs": [],
@@ -123,7 +123,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 4,
    "id": "817475cf",
    "metadata": {},
    "outputs": [],
@@ -163,7 +163,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 5,
    "id": "c609291c",
    "metadata": {},
    "outputs": [],
@@ -185,7 +185,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 6,
    "id": "4cc14bd0",
    "metadata": {},
    "outputs": [
@@ -193,6 +193,14 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
+      "WARNING: Using incubator modules: jdk.incubator.vector\n",
+      "Using Spark's default log4j profile: org/apache/spark/log4j2-defaults.properties\n",
+      "26/10/18 17:57:09 WARN Utils: Your hostname, MacBook-Neo-232.local, resolves to a loopback address: 127.0.0.1; using 192.168.10.130 instead (on interface en0)\n",
+      "26/10/18 17:57:09 WARN Utils: Set SPARK_LOCAL_IP if you need to bind to another address\n",
+      "26/10/18 17:57:09 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable\n",
+      "Using Spark's default log4j profile: org/apache/spark/log4j2-defaults.properties\n",
+      "Setting default log level to \"WARN\".\n",
+      "To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel).\n",
       "                                                                                \r"
      ]
     },
@@ -230,7 +238,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 7,
    "id": "faa6a8cb",
    "metadata": {},
    "outputs": [
@@ -241,7 +249,7 @@
      "traceback": [
       "\u001b[31m---------------------------------------------------------------------------\u001b[39m",
       "\u001b[31mNameError\u001b[39m                                 Traceback (most recent call last)",
-      "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[14]\u001b[39m\u001b[32m, line 2\u001b[39m\n\u001b[32m      1\u001b[39m \u001b[38;5;66;03m## Potential Test Help\u001b[39;00m\n\u001b[32m----> \u001b[39m\u001b[32m2\u001b[39m print(metadata_df(music_df).rdd.getNumPartitions())  \u001b[38;5;66;03m# Partitions for Pyspark\u001b[39;00m\n\u001b[32m      3\u001b[39m print(len(metadata_df(music_df).columns)) \u001b[38;5;66;03m# # of columns in JSON\u001b[39;00m\n\u001b[32m      4\u001b[39m null_counts = null_counts_by_column(metadata_df(music_df)) \u001b[38;5;66;03m# Null counts by column\u001b[39;00m\n\u001b[32m      5\u001b[39m null_counts.show(vertical=\u001b[38;5;28;01mTrue\u001b[39;00m) \u001b[38;5;66;03m# Print Null counts by column_df\u001b[39;00m\n",
+      "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[7]\u001b[39m\u001b[32m, line 2\u001b[39m\n\u001b[32m      1\u001b[39m \u001b[38;5;66;03m## Potential Test Help\u001b[39;00m\n\u001b[32m----> \u001b[39m\u001b[32m2\u001b[39m print(metadata_df(music_df).rdd.getNumPartitions())  \u001b[38;5;66;03m# Partitions for Pyspark\u001b[39;00m\n\u001b[32m      3\u001b[39m print(len(metadata_df(music_df).columns)) \u001b[38;5;66;03m# # of columns in JSON\u001b[39;00m\n\u001b[32m      4\u001b[39m null_counts = null_counts_by_column(metadata_df(music_df)) \u001b[38;5;66;03m# Null counts by column\u001b[39;00m\n\u001b[32m      5\u001b[39m null_counts.show(vertical=\u001b[38;5;28;01mTrue\u001b[39;00m) \u001b[38;5;66;03m# Print Null counts by column_df\u001b[39;00m\n",
       "\u001b[31mNameError\u001b[39m: name 'music_df' is not defined"
      ]
     }