Added linear regression for total trade

.gitignore

@@ -1 +1 @@
-data/*
+.DS_Store

.ipynb_checkpoints/1. Classifying Partial Permits-checkpoint.ipynb

@@ -19,9 +19,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 39,
+   "execution_count": 2,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Using TensorFlow backend.\n"
+     ]
+    }
+   ],
    "source": [
     "import numpy as np\n",
     "import pandas as pd\n",
@@ -39,7 +47,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 40,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -52,12 +60,12 @@
    "metadata": {},
    "source": [
     "### Importing our data\n",
-    "Let's import our data into a pandas dataframe and take a look at it."
+    "Let's import our data into a pandas dataframe and take a look at it. We're using a comparative tabulation report from the CITES database website for a single year for all countries."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 41,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
@@ -1520,13 +1528,13 @@
        "[75891 rows x 16 columns]"
       ]
      },
-     "execution_count": 41,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "dataframe = pd.read_csv(\"data/data.csv\", skipinitialspace=True, dtype={\n",
+    "dataframe = pd.read_csv(\"data/goal_1_data.csv\", skipinitialspace=True, dtype={\n",
     "    'Importer reported quantity': float,\n",
     "    'Exporter reported quantity': float\n",
     "})\n",