Loading Topic_03_Presentation/universities-intake-enrolment-and-graduates-by-course.ipynb +45 −3 Changes for Topic_03_Presentation/universities-intake-enrolment-and-graduates-by-course.ipynb: 45 added lines, 3 removed lines. Original line number Diff line number Diff line Loading @@ -9,9 +9,42 @@ }, { "cell_type": "code", "execution_count": 55, "execution_count": 8, "metadata": {}, "outputs": [], "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Initial Data:\n", " year sex course intake enrolment graduates\n", "0 2005 MF Accountancy 876 2561 706\n", "1 2005 F Accountancy 530 1732 495\n", "30 2006 MF Accountancy 934 2844 644\n", "31 2006 F Accountancy 557 1819 468\n", "60 2007 MF Accountancy 1000 3074 834\n", "61 2007 F Accountancy 625 1914 574\n", "90 2008 MF Accountancy 1055 3139 831\n", "91 2008 F Accountancy 638 1910 536\n", "120 2009 MF Accountancy 1142 3471 937\n", "121 2009 F Accountancy 663 2059 595\n", "\n", "\n", "Processed Data:\n", " year sex course intake enrolment graduates\n", "0 2009 F Accountancy 663 2059 595\n", "1 2009 M Accountancy 479 1412 342\n", "2 2010 F Accountancy 689 2159 553\n", "3 2010 M Accountancy 480 1486 380\n", "4 2011 F Accountancy 618 2244 507\n", "5 2011 M Accountancy 482 1627 332\n", "6 2012 F Accountancy 682 2316 589\n", "7 2012 M Accountancy 531 1685 447\n", "8 2013 F Accountancy 679 2274 688\n", "9 2013 M Accountancy 506 1768 399\n" ] } ], "source": [ "import pandas as pd\r\n", "import locale\r\n", Loading Loading @@ -72,7 +105,16 @@ "data_course_year_final[\"graduates\"] = data_course_year_final[\"graduates\"].astype(int)\r\n", "\r\n", "# Reset DataFrame indices.\r\n", "data_course_year_final.reset_index(drop=True, inplace=True)" "data_course_year_final.reset_index(drop=True, inplace=True)\r\n", "\r\n", "# Initial data.\r\n", "print(\"Initial Data:\")\r\n", "print(data_raw.sort_values([\"course\", \"year\"]).head(10))\r\n", "print(\"\\n\")\r\n", "\r\n", "# Processed data.\r\n", "print(\"Processed Data:\")\r\n", "print(data_course_year_final.head(10))" ] }, { Loading
Topic_03_Presentation/universities-intake-enrolment-and-graduates-by-course.ipynb +45 −3 Changes for Topic_03_Presentation/universities-intake-enrolment-and-graduates-by-course.ipynb: 45 added lines, 3 removed lines. Original line number Diff line number Diff line Loading @@ -9,9 +9,42 @@ }, { "cell_type": "code", "execution_count": 55, "execution_count": 8, "metadata": {}, "outputs": [], "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Initial Data:\n", " year sex course intake enrolment graduates\n", "0 2005 MF Accountancy 876 2561 706\n", "1 2005 F Accountancy 530 1732 495\n", "30 2006 MF Accountancy 934 2844 644\n", "31 2006 F Accountancy 557 1819 468\n", "60 2007 MF Accountancy 1000 3074 834\n", "61 2007 F Accountancy 625 1914 574\n", "90 2008 MF Accountancy 1055 3139 831\n", "91 2008 F Accountancy 638 1910 536\n", "120 2009 MF Accountancy 1142 3471 937\n", "121 2009 F Accountancy 663 2059 595\n", "\n", "\n", "Processed Data:\n", " year sex course intake enrolment graduates\n", "0 2009 F Accountancy 663 2059 595\n", "1 2009 M Accountancy 479 1412 342\n", "2 2010 F Accountancy 689 2159 553\n", "3 2010 M Accountancy 480 1486 380\n", "4 2011 F Accountancy 618 2244 507\n", "5 2011 M Accountancy 482 1627 332\n", "6 2012 F Accountancy 682 2316 589\n", "7 2012 M Accountancy 531 1685 447\n", "8 2013 F Accountancy 679 2274 688\n", "9 2013 M Accountancy 506 1768 399\n" ] } ], "source": [ "import pandas as pd\r\n", "import locale\r\n", Loading Loading @@ -72,7 +105,16 @@ "data_course_year_final[\"graduates\"] = data_course_year_final[\"graduates\"].astype(int)\r\n", "\r\n", "# Reset DataFrame indices.\r\n", "data_course_year_final.reset_index(drop=True, inplace=True)" "data_course_year_final.reset_index(drop=True, inplace=True)\r\n", "\r\n", "# Initial data.\r\n", "print(\"Initial Data:\")\r\n", "print(data_raw.sort_values([\"course\", \"year\"]).head(10))\r\n", "print(\"\\n\")\r\n", "\r\n", "# Processed data.\r\n", "print(\"Processed Data:\")\r\n", "print(data_course_year_final.head(10))" ] }, {