Update solutions

Mission610Solutions.ipynb

@@ -263,52 +263,6 @@
    "cell_type": "code",
    "execution_count": 13,
    "metadata": {},
-   "outputs": [],
-   "source": [
-    "countries = []\n",
-    "for row in data:\n",
-    "    country = row[2]\n",
-    "    countries.append(country)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 14,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "countries = unique_countries(countries)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 15,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "countries_frequency = []\n",
-    "\n",
-    "for country in countries:\n",
-    "    countries_frequency.append([country, 0])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 16,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "for row in data:\n",
-    "    for cf in countries_frequency:\n",
-    "        c = cf[0]\n",
-    "        if row[2] == c:\n",
-    "            cf[1] += 1"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 17,
-   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -317,7 +271,7 @@
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th>Country</th>\n",
-       "      <th>Number of Attempts</th>\n",
+       "      <th>Number of Occurrences</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
@@ -330,15 +284,15 @@
        "      <td>8</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td>Canada</td>\n",
+       "      <td>Belgium</td>\n",
        "      <td>4</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td>Greece</td>\n",
+       "      <td>Canada</td>\n",
        "      <td>4</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td>Belgium</td>\n",
+       "      <td>Greece</td>\n",
        "      <td>4</td>\n",
        "    </tr>\n",
        "    <tr>\n",
@@ -393,7 +347,8 @@
     }
    ],
    "source": [
-    "pretty_table(countries_frequency)"
+    "countries_frequency = df.groupby(\"Country\").count()\n",
+    "print_pretty_table(countries_frequency)"
    ]
   },
   {