Task Summary As mentioned above, you have to first choose a dataset from Kaggle or other similar websites recommended by your learning facilitator (e.g. Heart Disease UCI}. As the only limitation, the dataset must have at least four columns (features). To avoid similar submissions, the dataset should be checked with your learning facilitator. In some trimesters, the learning facilitator might assign you a specic dataset. After the approval of the dataset you will then have to analyse the dataset using the following statistical methods: - Univariate analysis 0 Bivariate analysis 0 Distribution analysis 0 Mean, Median, Standard deviation 0 Inference and para meter estimation 0 Correlation analysis 0 Hypothesis testing - Visualisation When you nish applying these methods, you are required to write a document with a minimum of 1500 words to explain the statistical methods you used and the conclusion that can be drawn from your dataset based on the methods you applied. You are writing this report for someone who wants to understand this dataset. In other words, you are trying to tell a story with data, analysis, and visualisation. Please do not forget to use as many visualisations as you can to make your report more engaging. n__L___!__:___ |__ _..____..!___ _ EB A Collaborate Format Organise CB 75% Insert Table Graph Text Shape Media Comment Zoom Add Category Pivot Table View Sheet Sheet 1 Confirmed Deaths Recovered Active New cases New deaths New recovered Deaths / 100 Cases Recovered / 100 Cases Deaths / 100 Recovered Confirmed last week 1 week change 1 week % increase WHO Region Sheet Name Country/Region 5.04 35526 737 2.07 Eastern Mediterranean 3. 69.49 Afghanistan 36263 1269 979 106 10 18 17.0 Europe 6 2.95 6.25 5.25 4171 709 Sheet 1 Albania 4880 144 2745 1991 17 23691 4282 4.16 67.34 6.17 18.07 Africa 27973 1163 8837 7973 316 384 23 2.6 Europe Algeria 907 52 803 52 10 o 5.73 88.53 6.48 adorra 25.47 16.94 749 201 26.84 Africa 4.32 41 242 18 1 Angola 50 667 4.62 76 10 13.16 Americas o 3.4 75.58 Background Antigua and Barbuda 65 18 36642 28.02 Americas 67416 3059 72575 91782 1890 120 2057 1.83 13.35 4.21 30774 Argentina 2409 6.89 Europe 37390 711 26665 10014 6 187 71.3 2.67 34981 Armenia 1.09 60.84 1.79 12428 2875 23.13 Western Pacific Australia 15303 9311 5825 137 37 3.47 3.91 19743 815 4.13 Europe 8.75 Duplicate Sheet Austria 20558 13 8246 1599 1 2556 9.16 Europe 558 1.3 76.34 1.82 27890 Azerbaijan 30446 123 23242 6781 12.09 174 208 119.54 Americas o 2.8 23.82 Delete Sheet Bahamas 38 91 280 2546 6.89 Eastern Mediterranean 421 0.36 91.46 0.39 36936 36110 3231 Bahrain 39482 141 55.56 2.36 207453 18772 9.05 South-East Asia Bangladesh 226225 2965 125683 97577 2772 1801 1.31 3.77 Americas 6.36 35.45 7.45 106 Barbados 11 94 1038 67 0. 39.95 0.89 66213 1.57 Europe Belarus 67251 538 60492 6221 119 6.28 64094 2334 3.64 Europe 17452 39154 14 14.79 66428 402 26.27 Belgium 9822 20.0 Americas 4.17 54.17 7.69 Belize 2 26 2 1602 168 10.49 Africa - A B O O O - A O V 1.98 58.53 3.38 1770 25 036 699 A O Benin O. 36.87 0.0 90 10.0 South-East Asia Bhutan 86 13 30.17 12.32 60991 10190 16.71 Americas 3.72 Bolivia 71181 2647 21478 47056 1752 309 2019 23.81 Europe 4930 731 375 6.96 5.96 8479 5274 2 . Bosnia and Herzegovina 10498 294 3.17 522 217 41.57 Africa 0.27 8.53 Botswana 739 63 674 11 4.74 2118646 323729 15.28 Americas 2442375 87618 1846641 508116 23284 614 33728 3.59 5.61 Brazil 141 0.0 Western Pacific 2.1 97.87 2.17 Brune 138 0 8929 1692 8.95 Europe 5585 4689 194 230 3.27 52.58 6.21 Bulgaria 10621 347 14 5.72 1065 3.29 Africa 4.8 35 34.18 Burkina Faso 110 53 926 121 2.05 341 9 2.64 South-East Asia 83.43 350 292 52 o 1.71 0.33 322 56 17.39 Africa Burma 79.63 378 301 76 0 22 0.26 Burund 17 257 12.41 Africa 1550 756 21 103 0.9 $6.58 1.42 2071 Cabo Verde 2328 22 32.16 Western Pacific 4 0.0 171 55 65.04 79 1 5.9 Africa Cambodia 226 147 2.69 16157 953 34.97 Cameroon 17110 391 4539 2180 402 2.29 3533 3.13 Americas 16458 8944 0 107514 7.68 1 12925 382 0.0 inf Canada 4548 51 1.12 Africa 1.28 33.62 3.82 Central African Republic 4599 59 1546 2994 o 889 33 3.71 Africa 37.85 9.26 37 8.13 Chad 927 75 810 14894 4.47 Americas 2133 1859 2.64 91.96 2.87 833029 Chile 347923 187 319954 18782 5.37 5.9 85622 1161 1.36 Western Pacific 90.88 86783 4656 78869 3258 21 China 204005 53096 26.03 Americas 257101 8777 131161 117163 6306 508 11494 51.02 6.69 5.99 Africa Colombia 1.9 92.66 2.13 334 20 Comoros 354 328 1 2851 349 12.24 Africa 1.69 5.91 6.51 Congo (Brazzaville) 3200 54 829 2317 $4.45 3.65 8443 401 4.75 Africa Congo (Kinshasa) 8844 208 5700 293 2.3 3.01 1 1534 4307 37.34 Americas 0.7: 24.14 Costa Rica 15841 3824 11902 56.18 0.93 14312 1343 9.38 Africa Cote d'Ivoire 5655 10361 5198 4370 511 11.69 Europ 70 2.85 80.64 3.53 488 139 3936 806 Croatia 2 86 3.52 Americas 3.4 2.85 3.7 2446 Cuba 2532 BZ 2351 22 B O O O N O O W O F A W O 2.23 1038 2.12 Europe 1.79 80.38 852 189 Cyprus 1060 73.65 3.26 14098 1418 10.06 Europe N Czechia 15516 373 11428 3715 192 4.45 91.6 4.86 13453 2.29 Europe Denmark 3761 12605 543 77 1.15 98.38 1.17 5020 0.78 Eastern Mediterranean 5059 1977 2 0 6 8 Djibouti 0.0 0.0 0.0 Americas 100.0 Dominica 18 18 1601 53956 10200 18.9 Americas 1.69 47.08 3.59 Dominican Republic 64156 1083 30204 32869 o 5.82 43.0 15.85 74620 6541 3.77 Americas Ecuador 81161 5532 34896 40733\fB 1+ A 75% Format Organise Graph Text Shape Media Comment Collaborate View Zoom Add Category Pivot Table Insert Table Sheet Sheet 1 76.12 3.48 1.54 Africa 124 1913 476 4.93 2475 Mali 2513 1.28 94.86 1.35 677 3.55 Europe Sheet Name Malta 701 665 27 74.95 3.35 5923 285 4.81 Africa Mauritania 6208 156 4653 1399 223 2.51 343 0.29 Africa Sheet 1 96.51 3.01 Mauritius 344 10 2.9 332 349396 46093 13.19 Americas 395489 44022 03810 47657 4973 8588 11.1 76.82 14.49 Mexico 16154 6252 120 3.2 59.77 4.63 21115 2039 9.66 Europe Moldova 23154 748 PW NOOWNOOO 3.45 39.66 3.85 109 6.42 Europe Monaco 116 104 287 0.7 Western Pacific Background 76.82 0.0 Mongolia 289 0 222 67 0.0 27.96 5.56 2188 705 32.22 Europe Montenegro 2893 45 809 2039 1.56 1.51 79.25 1.91 17562 3325 18.93 Eastern Mediterranean Morocco 20887 316 16553 4018 0.65 0.0 ir 1507 194 12.87 Africa Mozambique 1701 11 0 1690 8 8 8 8 0.43 5.48 7.92 1344 499 37.13 Africa Duplicate Sheet Namibi 1843 101 1734 8752 48 13754 4950 0 . 26 73.35 0.35 17844 908 5.09 South-East Asia Nepal 0.3 3259.2 52132 1281 2.46 Europe Delete Sheet Netherlands 3413 6160 189 47064 419 11.5 1.41 97.24 1.45 1555 2 0.13 Western Pacific New Zealand 1557 22 1514 21 1 3.14 4.33 3147 292 9.28 Americas 839 72.46 Nicaragua 3439 108 2492 o O 6.1 90.72 6.72 1105 27 2.44 Africa Niger 1132 1027 36 37225 3955 10.62 Africa 44.2 4.72 Nigeria 41180 360 18203 22117 829 2.09 4.5 4.48 8.38 9249 964 10.42 Europe North Macedonia 0213 5564 4183 137 2.91 9034 98 1.08 Europe Norway 9132 8752 95.84 125 2.79 1729 0.51 74.01 0.69 68400 8658 12.66 Eastern Mediterranean Oman 77058 392 57028 19637 1053 2.13 87.87 2.42 266096 8193 3.08 Eastern Mediterranean Pakistan 274289 5842 241026 27421 1176 3592 1322 35086 25034 1146 955 2.15 57.1 3.77 54426 7016 12.89 Americas Panama 61442 0.0 43 226.32 Western Pacific 62 51 7.74 Papua New Guinea 4548 43 2905 1600 111 63.87 1.48 3748 800 21.34 Americas Paraguay 389717 18418 272547 98752 13756 575 4697 4.7 69.93 6.76 35/081 32036 8.96 Americas Peru 2.37 32.24 7.35 68898 13142 19.07 Western Pacific Philippines 82040 1945 26446 53649 1592 13 336 75.7 3019 7.48 Europe 43402 8870 3.86 40383 Poland 1676 32856 337 5.1 70.33 4.86 48771 1528 3.13 Europe Portugal 50299 1719 35375 13205 135 0.15 0.16 107037 2560 2.39 Eastern Mediterranean RT O NU Qatar 109597 165 106328 3104 292 97.02 2206 25794 17902 1 104 4.8 20.35 Europe 56.19 8.55 38139 7763 Romania 45902 2.21 776212 40468 5.21 Europe Russi 16680 13334 602249 201097 5607 3077 1.6: 73.74 0.27 0.51 1629 250 15.35 Africa Rwanda 1879 975 899 58 51.89 38.24 0.0 0.0 Americas Saint Kitts and Nevis 15 0.0 8 8 8 24 22 2 91.67 23 4.35 Americas Saint Lucia o 75.0 0.0 50 2 4.0 Americas Saint Vincent and the Gre 52 39 13 6.01 0.0 Europe 93.99 6.39 699 o San Marino 99 42 657 o 1.62 34.86 1.91 746 119 5.95 Africa Sao Tome and Principe 865 14 734 117 2 1993 1.03 82.9 1.24 253349 15585 6.15 Eastern Mediterranean Saudi Arabia 268934 2760 222936 43238 9.12 Africa 9764 194 6477 3093 1.99 6.34 3.0 8948 816 Senega 2.25 0.0 inf 21253 2888 13.59 Europe Serbia 24141 543 0 23598 411 0.0 108 5.56 Africa 34.2 Seychelles 11 0 39 75 0. 3.7 73.86 5.01 1711 72 4.21 Africa Sierra Leone 178 56 1317 400 0 .05 89.88 0.06 18035 2803 5.84 Western Pacific Singapore 50838 15692 5119 74.09 1.73 1980 201 10.15 Europe 1.28 Slovakia 2181 28 1616 537 5.56 1953 134 3.04 6.69 6.86 Europe Slovenia 2087 116 1733 238 6.03 3130 66 2.11 Eastern Mediterranean Somalia 3196 93 1543 1560 2.91 8.28 274925 170537 298 1.5 60.75 2.57 373628 78901 21.12 Africa South Africa 452529 7067 2.11 91.58 2.31 3816 387 2.8 Western Pacific South Korea 4203 13007 896 2211 94 50.98 3.91 4.25 Africa South Sudan 2305 16 1175 1084 Spain 272421 28432 150376 93613 10.44 55.2 18.91 264836 7585 2.86 Europe N o O 75.61 0.52 2730 75 2.75 South-East Asia Sri Lanka 2805 2121 673 0.3 5939 4765 51.99 12.12 10992 432 3.93 Eastern Mediterranean Sudan 11424 720 404 24 925 524 1.62 62.37 2.59 1079 37.44 Americas Suriname 14831+ A Comment Collaborate Format Organise 75% Insert Table Graph Text Shape Media Pivot Table Sheet View Zoom Add Category Sheet 1 0.06 18035 2803 5.84 Western Pacific 0.05 89.88 10.15 Europe Singap 50838 27 45692 5119 469 74.0 1.73 1980 201 Sheet Name 1.28 1953 134 6.86 Europe Slovakia 2181 28 1616 537 39 238 5.56 83.04 6.69 116 733 3130 6 6 2.11 Eastern Mediterranean 6.03 Sheet 1 2087 o o O Slovenia 2.91 48.28 93 543 1560 78901 21.12 Africa Somalia 3196 1096 298 9848 1.56 60.75 2.57 373628 52529 7067 274925 170537 91.58 2.31 13816 387 2.8 Western Pacific South Africa 2.11 South Korea 14203 300 13007 896 94 4.25 Africa 43 2.0 50.98 3.91 2211 South Sudan 2305 1175 1084 10.44 55.2 18.91 64836 7585 2.86 Europe Background 150376 93613 Spain 272421 28432 0.39 75.61 0.52 2730 75 2.75 South-East Asia 2121 673 10992 432 3.93 Eastern Mediterranean Sri Lanka 2805 11 51.99 12.12 720 5939 4765 2.59 1079 404 37.44 America Sudan 1424 52.37 1.73 Europe Suriname 1483 24 925 534 1.62 7.18 0.0 inf 78048 1347 Duplicate Sheet Sweden 79395 5700 0 73695 5.74 89.62 6.4 33634 843 2.51 Europe 1978 30900 1599 Switzerland 34477 5.93 0.0 inf 522 152 29.12 Eastern Mediterranean Delete Sheet 40 634 24 451 11 2.44 Western Pacific Syria 674 15 4 1.52 35.24 1.59 440 4.54 Europe Taiwan* 162 83.3 6921 314 0.83 1.0 0.0 Africa Tajikistan 7235 60 6028 1147 43 509 o 509 21 183 305 o o 4.13 35.9 1.48 1.86 3250 47 .45 South-East Asia Tanzania 128 1.76 94.36 3297 58 3111 Thailand 0.0 0.0 0.0 24 o 0.0 South-East Asia 24 o 24 69.45 2.97 783 91 1.62 Africa Timor-Leste 607 249 2.06 Togo 874 18 8.03 Americas 86.49 137 5.41 6.25 ES Trinidad and Tobago 148 128 12 79.52 4.32 1381 5.36 Eastern Mediterranean 3.44 1455 1157 248 6447 2.92 Europe Tunisia 2.48 92.71 2.67 220572 27019 5630 210469 10920 919 3834677 455582 11.88 Americas Turkey 1325804 2816444 56336 1076 3.45 30.9 11.16 US 290259 148011 87.41 0.2 1069 59 5.52 Africa 1128 986 140 13 0.18 Uganda 2.44 55.45 4.4 50767 6329 10.42 Europe 37202 28258 335 317 67096 1636 1984 Ukraine 328 0.58 0.66 57193 3.47 Eastern Mediterranean 88.73 1.6 Europe United Arab Emirates 59177 345 52510 6322 264 4764 688 15.19 0.48 3190.26 296944 301708 45844 437 254427 79.12 3.68 138 12.97 Americas United Kingdom 1064 Uruguay 1202 35 951 21 10 55.04 1.04 17149 4060 23.67 Europe 11674 678 569 Uzbekistan 9414 0.91 62.29 12334 3654 29.63 America 21209 1.47 Venezuela 5988 146 9959 5883 525 47 12.24 Western Pacific 84.69 0.0 384 Vietnam 431 365 66 35.33 2.08 8916 1705 19.12 Eastern Mediterranean West Bank and Gaza 10621 78 3752 6791 152 80.0 12.5 10 0 0.0 Africa 10.0 1 1 57.98 1619 72 4.45 Eastern Mediterranean Western Sahara 10 833 375 28.56 49.26 Yemen 1691 483 1.84 4.97 3326 1226 36.86 Africa 4552 140 2815 1597 3.08 1713 991 57.85 Africa ambi 20.04 26 542 Zimbabwe 2704 2126 192 133 6.64Context This assessment has been designed to assess your ability of choosing and employing the best statistical methods and tools to analyse simplified real-world datasets. You will be playing the role of a data scientist in this assessment to perform Exploratory Data Analysis (EDA). EDA allows data scientists to summarise the main characteristics of a dataset, which is usually done using a wide range of statistical approaches and yisualisations. EDA is also very helpful for analysing data before using any Artificial Intelligence {Al} or Machine Learning (ML) to ensure that their results will be valid. In this assessment, we will be using Kaggle.com {or other similar repositories recommended by your learning facilitator), which is an online community of Al, ML, and data science experts and enthusiasts. You are supposed to thoroughly analyse one of the datasets in this website using the statistical techniques that you learned in this subject