A personal memorial for lives lost due to covid-19
Computer programming, Data visualization
mport csv, json, urllib.request, datetime from codecs import iterdecode def main(latest): url = 'https://raw.githubusercontent.com/CSSEGISandData/COVID-19/' +'master/csse_covid_19_data/csse_covid_19_daily_reports/' +latest+'.csv' try: latest = urllib.request.urlopen(url) return generatejson(latest) except urllib.request.HTTPError: print('url not found') return False def generatejson(csvfile): data = {} total = 0 csvReader = csv.DictReader(iterdecode(csvfile, 'utf-8')) for row in csvReader: name = row['Country_Region'] Deaths = int(row['Deaths']) if name not in data: data[name] = Deaths else: data[name] += Deaths total += Deaths data = {k: v for k, v in sorted(data.items(), key=lambda item: item[1],reverse=True)} with open('data.json', 'w') as jsonfile: jsonfile.write(json.dumps(data)) return total
Islands of Maldives (aligning together)
Computer programming, Data visualization, Research
import processing.video.*; MovieMaker mm; .... float x = -7000 + float(pieces[6])*100; float y = 715 + float(pieces[7])*-100; scale(50); String[] shapes = split(pieces[0], ','); beginShape(); for (int nodes = 0; nodes < shapes.length; nodes = nodes+1) { String[] xy = split(shapes[nodes]," "); float x1 = -7000 + float(xy[0])*100 - x+6.4; float y1 = 715 + float(xy[1])*-100 - y+4.0; vertex(x1, y1); } endShape(CLOSE);