cs4001_2026T2_Q1_NA.pdf

Part A: Very Short Answer Questions (6 marks) 1. (4 points) Recall that in the lecture videos, you were introduced to the classification of visualisations on the basis of their form. You are given a few plots below. United States Adults Ages 20 to 24 by County bible Figure B Figure A Curae Caskcin 12.34.56 7 B 9 10 Mf £2 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 Jan New year US. te BGe B Sonn8 birthd ; Sc oe ‘Most birthdays are in Jul-Sep, foughly 9 months after the winter holidays Figure C States ANDHRA PRADESH ‘ARUNACHAL PRADESH ASSAM BIHAR CHHATTISGARH GOA GUJARAT HARYANA AVIMACIIAL PRADCSII JAMMU 8 KASHMIR JHARKHAND KARNATAKA KERALA MADHYA PRADESH MAHARASHTRA MANIPUR MEGHALAYA MIZORAM NAGALAND ODISHA PUNJAB RAJASTHAN SIKKIM. TAMILNADS TRIPURA UTTAR PRADESH UTTARAKHAND WEST BENGAL AANISLANDS ‘CHANDIGARH DBN HAVEL. DAMAN & D1 DELHIUT) LAKSHADWEEP PUDUCHERRY 16603 m 1892 5285 0597 ny eH0 678 1805 47 290 11818 6673 26092 44596 Figure D 12 Wis 13 31078 Ceuse ELECTROCUTION GAS CYLINDER/STOVE BURST FRE-ARMS SUDDEN DEATHS(HEART ATTACKS) EPILEPTIC FITS/GIDDINESS ABORTIONSCHILO BIRTH. INFLUENCE OF ALCOHOL FOOD POISIONING/ACCIDENTAL INTAKE OF INSECTICIDES ETC, SNAKCOITE/ANIMAL BITC OTHER RAILWAY ACCIDENTS DROWNING FALLS ARE ‘SUDDEN DEATHS POISONING [[IMAGE:88251d3c1d8fbea4_6_5]] [[IMAGE:88251d3c1d8fbea4_6_6]] [[IMAGE:88251d3c1d8fbea4_6_7]]

[[IMAGE:88251d3c1d8fbea4_7_8]] [[IMAGE:88251d3c1d8fbea4_7_9]] [[IMAGE:88251d3c1d8fbea4_7_10]] [[IMAGE:88251d3c1d8fbea4_7_11]] Using Scott Berinato’s typology, this visualisation is best classified as: A. Visual discovery B. Visual confirmation C. Idea illustration D. Idea generation 8. (1 points) Ekanshi, a project lead at the IDC School of Design, IIT Bombay, has been approached by the Government of Maharashtra to create a digital elevation model (DEM) giving the terrain height at every location across the whole of Mumbai as a continuous surface. This model is best represented as: A. Vector contour lines, one per elevation interval B. Vector points, one per building C. Raster, where each cell stores an elevation value D. Vector polygons, one per administrative ward 9. (1 points) Palki Sharma, from India Global Review — a digital-first global media platform — wants a visualisation showcasing the global population. She finds that on an ordinary map, large but sparsely-populated countries (Russia, Canada, Australia) visu-ally dominate, while small but densely-populated countries (Bangladesh, Japan) almost disappear — misleading readers about where people actually live. Which technique best corrects this by resizing the territories themselves so that each country’s area reflects its population? A. Cartogram B. Choropleth map C. Bubble map D. Dot-density map 10. (1 points) The image below cross-tabulates two categorical variables — elderly status (Elderly / Not Elderly) on the horizontal axis and treatment (Placebo / Study Drug) on the vertical axis. Each column's width is proportional to the size of that group and each column is split by height into the two treatments, so every rectangle’s area is proportional to the number of subjects in that combination. This plot is an example of a _. Treatment vs. Elderly (Over 65) 100% Treatment [Placebo Bisugy dug 80% 60% 40% 20% 0% Elderly Not Elderly Eiderly (Over 65) Tree diagram Mosaic plot Alluvial diagram 9: Oo > PF Sunburst diagram [[IMAGE:88251d3c1d8fbea4_10_16]] [[IMAGE:88251d3c1d8fbea4_10_17]]

[[IMAGE:88251d3c1d8fbea4_12_23]] 25 COUNTRIES ARE CURRENTLY EXPOSED TO EXTREMELY HIGH WATER STRESS ANNUALLY BASELINE WATER STRESS Extremely high High Medium. (>80%) (40-80%) (20-40% ii. Chart 2 (global freshwater use over time): https://ourworldindata.org/water-use-stress Global freshwater use over the long-run Global freshwater withdrawals for agriculture, industry and domestic uses since 1900, measured in cubic metres (m3) per year. 4 tion m 35 trillion m? 3 trilion m? 255teilion m? 2 teilon m 1.5 trilion m? A trilion m? 500 billion m? 3 Om 1901 1920 1940 1960 1980 2000 = 2014 Data source: Global International Geosphere-Biosphere Programme (IGB) OurWorldinData.org/water-use-stress | CC BY iii, Chart 3 (sector shares of withdrawal): https://www.fao.org/aquastat/en/overview/methodology/water-use 4500 Global water withdrawal km*/year = Reservoirs * = Municipalities industries w Agriculture * Evaporation from artificial lakes 500 0 1900 1910 1920 1930 1940 1950 1960 1970 1980 1990 2000 2010 Year hitp/www a0 orginntwaterlaquastatiwater_usefindex.sim Sources: Agriculture, Industries, Municipalities: FAO-AQUASTAT: 2010; |.A. Shiklomanov: 1900-2000 Evaporation from artificial lakes/reservoirs: © FAO-AQUASTAT iv. Chart 4 (agricultural water withdrawals) Agricultural water withdrawals, 2015 Eg Total agricultural withdrawals, measured in m’ per year. Agricultural water is defined as the annual quantity of self-supplied water withdrawn for irrigation, livestock and aquaculture purposes. No data Om’ Smillionm’ 10 million m’ 100 million im’ 1billionm?’ billion’ 10 billion m’ 50 billion m’ Data source: Food and Agriculture Organization of the United Nations - AQUASTAT OurWorldinData.org/water-use-stress | CC BY [[IMAGE:88251d3c1d8fbea4_16_30]]