def computeRating(subFolder, sectionId, G) :
fileName = os.path.join(subFolder, 'Tex', 'table'+sectionId+'.tex')
print '\nBuilding table ', fileName
names = extractNames(subFolder)
# TeX version
f = open(fileName,'w')
res = []
for id in G.nodes() :
fullName = names.get(id,['',''])[0]
position = names.get(id,['',''])[1]
score = G.in_degree(id)
res.append([id,fullName,position,score])
res.sort(cmp = cmp)
for t in res :
resLine = t[0] + ' & ' + t[1] + ' & ' + t[2] + ' & ' + str(t[3]) + '\\\\ \n'
f.write(resLine)
f.close()
resHtml = ''
for t in res :
resLineHtml = '<tr><td class="right">'+t[0]+'. </td><td>'+t[1]+'</td><td>'+t[2]+'</td><td class="number">'+str(t[3])+'</td></tr>'
resHtml = resHtml + resLineHtml
templateFileName = os.path.join(subFolder,'Report_template.html')
BuildTexts.replaceInFile(templateFileName,'rating'+sectionId,resHtml)
def BuildGraphFromSpec(graphData, graph_id, graph_spec, subFolder) :
graph_type = graph_spec.pop()
questions = graph_spec
size = len(graphData)
file_name = os.path.join(subFolder, 'SVG', 'graph' + graph_id + '.dot')
edges = []
dict = {}
for nodeData in graphData:
[id, local_id, name, age, edgeGroups] = nodeData
dict[id] = local_id
# compute all edges
for nodeData in graphData:
[id, local_id, name, age, edgeGroups] = nodeData
for question in questions:
targets = edgeGroups[question-1]
for target in targets:
edges = edges + [[local_id, dict.get(target,'0')]]
# compute symmetric edges (pairs of eges)
if graph_type == 'pairs' :
sym_edges = []
for edge in edges :
reverse = [edge[1],edge[0]]
if edges.count(reverse) > 0 :
sym_edges = sym_edges + [edge]
edges = sym_edges
# remove duplicates
edges = removeDuplicates(edges)
# build the graph and the visualization
G = SocioGraph.MakeGraphFromEdges(size, edges, graph_type, file_name)
# save the graph statistics
code = 'val' + BuildTexts.encodeNumber(graph_id) + 'links'
if graph_type == 'pairs' :
links = len(edges) / 2
else :
links = len(edges)
BuildTexts.addMacro(subFolder, code, links)
# build the rating table
if graph_type == 'directed' :
BuildRatings.computeRating(subFolder, graph_id, G)
return G
def compute21a(subFolder, statData): # aggregate
print '\nComputing values for slide 2.1.1.'
values = ParseInput.extractAnswers(statData, [38,39])
values = StatValues.joinLists(values)
yesNum = values.count('87') + values.count('88')
noNum = values.count('89') + values.count('90')
[yesNumP, noNumP] = StatValues.percent([yesNum,noNum])
BuildTexts.addMacro(subFolder, 'valBAAyesNumP', str(yesNumP))
BuildTexts.addMacro(subFolder, 'valBAAnoNumP', str(noNumP))
BuildCharts.YesNoPieSVG(subFolder, 'pie211.svg', yesNumP, noNumP)
def compute22a(subFolder, statData): # aggregate
print '\nComputing values for slide 2.2.1.'
values = ParseInput.extractAnswers(statData, [28,29,46,47])
values = StatValues.joinLists(values)
yesNum = values.count('83') + values.count('84')
noNum = values.count('85') + values.count('86')
[yesNumP, noNumP] = StatValues.percent([yesNum,noNum])
BuildTexts.addMacro(subFolder, 'valBBAyesNumP', str(yesNumP))
BuildTexts.addMacro(subFolder, 'valBBAnoNumP', str(noNumP))
BuildCharts.YesNoPieSVG(subFolder, 'pie221.svg', yesNumP, noNumP)
def computeEducation(subFolder, statData) :
values = ParseInput.extractAnswers(statData, [15])
eduValues = []
for v in values :
v = v.replace('{','').replace('}','')
eduList = v.split('=')
for e in eduList :
if len(e) > 1 :
eduValues.append(e)
keys = [str(i+16) for i in range(7)]
eduStat = [eduValues.count(key) for key in keys]
print 'Education values:', eduValues, eduStat
BuildTexts.addMacrosList(subFolder, 'numEdu', eduStat)
def addNamesListToHtml(subFolder):
names = extractNames(subFolder)
res = ''
for id in range(len(names)) :
number = str(id+1)
fullName = names[number][0]
position = names[number][1]
resLine = '<tr><td> '+number+'.</td><td>'+fullName+'</td><td>'+position+'</td></tr>'
res = res + resLine
templateFileName = os.path.join(subFolder,'Report_template.html')
BuildTexts.replaceInFile(templateFileName,'<td>0</td><td>A</td><td>B</td>',res)
def compute22b(subFolder, statData): # by age
print '\nComputing values for slide 2.2.2.'
values = ParseInput.extractAnswers(statData, [14, 28,29,46,47])
values = StatValues.joinListsByAge(values)
yesNum = [ val.count('83') + val.count('84') for val in values ]
noNum = [ val.count('85') + val.count('86') for val in values ]
BuildTexts.addMacrosList(subFolder, 'valBBByesNum', yesNum)
BuildTexts.addMacrosList(subFolder, 'valBBBnoNum', noNum)
BuildCharts.YesNoPieSVG(subFolder, 'pie222a.svg', yesNum[0], noNum[0])
BuildCharts.YesNoPieSVG(subFolder, 'pie222b.svg', yesNum[1], noNum[1])
BuildCharts.YesNoPieSVG(subFolder, 'pie222c.svg', yesNum[2], noNum[2])
BuildCharts.YesNoPieSVG(subFolder, 'pie222d.svg', yesNum[3], noNum[3])
def compute22d(subFolder, statData): # by question
print '\nComputing values for slide 2.2.4.'
values = ParseInput.extractAnswers(statData, [28,29,46,47])
values = StatValues.joinListsByQuestion(values)
yesNum = [ val.count('83') + val.count('84') for val in values ]
noNum = [ val.count('85') + val.count('86') for val in values ]
BuildTexts.addMacrosList(subFolder, 'valBBDyesNum', yesNum)
BuildTexts.addMacrosList(subFolder, 'valBBDnoNum', noNum)
BuildCharts.YesNoPieSVG(subFolder, 'pie224a.svg', yesNum[0], noNum[0])
BuildCharts.YesNoPieSVG(subFolder, 'pie224b.svg', yesNum[1], noNum[1])
BuildCharts.YesNoPieSVG(subFolder, 'pie224c.svg', yesNum[2], noNum[2])
BuildCharts.YesNoPieSVG(subFolder, 'pie224d.svg', yesNum[3], noNum[3])
def addSizeComments(subFolder, numOfNodes) :
if numOfNodes <= 7 :
res = '\socioSizeTextA'
elif numOfNodes <= 11 :
res = '\socioSizeTextB'
elif numOfNodes <= 16 :
res = '\socioSizeTextC'
elif numOfNodes <= 21 :
res = '\socioSizeTextD'
else :
res = '\socioSizeTextE'
fileName = os.path.join(subFolder, 'Tex', 'commands.tex')
BuildTexts.replaceInFile(fileName, res, '\socioSizeComment')
def compute21b(subFolder, statData): # by age - q14
print '\nComputing values for slide 2.1.2.'
values = ParseInput.extractAnswers(statData, [14, 38,39])
values = StatValues.joinListsByAge(values)
yesNum = [ val.count('87') + val.count('88') for val in values ]
noNum = [ val.count('89') + val.count('90') for val in values ]
BuildTexts.addMacrosList(subFolder, 'valBAByesNum', yesNum)
BuildTexts.addMacrosList(subFolder, 'valBABnoNum', noNum)
BuildCharts.YesNoPieSVG(subFolder, 'pie212a.svg', yesNum[0], noNum[0])
BuildCharts.YesNoPieSVG(subFolder, 'pie212b.svg', yesNum[1], noNum[1])
BuildCharts.YesNoPieSVG(subFolder, 'pie212c.svg', yesNum[2], noNum[2])
BuildCharts.YesNoPieSVG(subFolder, 'pie212d.svg', yesNum[3], noNum[3])
def compute21d(subFolder, statData): # by question
print '\nComputing values for slide 2.1.4.'
values = ParseInput.extractAnswers(statData, [35,38,39,50,55])
values = StatValues.joinListsByQuestion(values)
yesNum = [ val.count('87') + val.count('88') for val in values ]
noNum = [ val.count('89') + val.count('90') for val in values ]
BuildTexts.addMacrosList(subFolder, 'valBADyesNum', yesNum)
BuildTexts.addMacrosList(subFolder, 'valBADnoNum', noNum)
BuildCharts.YesNoPieSVG(subFolder, 'pie214a.svg', yesNum[0], noNum[0])
BuildCharts.YesNoPieSVG(subFolder, 'pie214b.svg', yesNum[1], noNum[1])
BuildCharts.YesNoPieSVG(subFolder, 'pie214c.svg', yesNum[2], noNum[2])
BuildCharts.YesNoPieSVG(subFolder, 'pie214d.svg', yesNum[3], noNum[3])
BuildCharts.YesNoPieSVG(subFolder, 'pie214e.svg', yesNum[4], noNum[4])
def compute22c(subFolder, statData): # by category - q19
print '\nComputing values for slide 2.2.3.'
values = ParseInput.extractAnswers(statData, [19, 28,29,46,47])
values = StatValues.joinListsByCategory(values)
yesNum = [ val.count('83') + val.count('84') for val in values ]
noNum = [ val.count('85') + val.count('86') for val in values ]
BuildTexts.addMacrosList(subFolder, 'valBBCyesNum', yesNum)
BuildTexts.addMacrosList(subFolder, 'valBBCnoNum', noNum)
BuildCharts.YesNoPieSVG(subFolder, 'pie223a.svg', yesNum[0], noNum[0])
BuildCharts.YesNoPieSVG(subFolder, 'pie223b.svg', yesNum[1], noNum[1])
BuildCharts.YesNoPieSVG(subFolder, 'pie223c.svg', yesNum[2], noNum[2])
BuildCharts.YesNoPieSVG(subFolder, 'pie223d.svg', yesNum[3], noNum[3])
BuildCharts.YesNoPieSVG(subFolder, 'pie223e.svg', yesNum[4], noNum[4])
def compute21c(subFolder, statData): # by category - q19
print '\nComputing values for slide 2.1.3.'
values = ParseInput.extractAnswers(statData, [19, 38,39])
values = StatValues.joinListsByCategory(values)
yesNum = [ val.count('87') + val.count('88') for val in values ]
noNum = [ val.count('89') + val.count('90') for val in values ]
BuildTexts.addMacrosList(subFolder, 'valBACyesNum', yesNum)
BuildTexts.addMacrosList(subFolder, 'valBACnoNum', noNum)
BuildCharts.YesNoPieSVG(subFolder, 'pie213a.svg', yesNum[0], noNum[0])
BuildCharts.YesNoPieSVG(subFolder, 'pie213b.svg', yesNum[1], noNum[1])
BuildCharts.YesNoPieSVG(subFolder, 'pie213c.svg', yesNum[2], noNum[2])
BuildCharts.YesNoPieSVG(subFolder, 'pie213d.svg', yesNum[3], noNum[3])
BuildCharts.YesNoPieSVG(subFolder, 'pie213e.svg', yesNum[4], noNum[4])
def computeWorkHereYears(subFolder, statData):
values = ParseInput.extractAnswers(statData, [17])
years = map(StatValues.toNumber, values)
print '\nExperience:', values, years
[expA, expB, expC, expD] = [0,0,0,0]
for y in years :
if y<0 :
expA = expA
elif y < 5 :
expA += 1
elif y < 11 :
expB += 1
elif y < 21 :
expC += 1
elif y>=21 and y<100:
expD += 1
res = [expA, expB, expC, expD]
BuildTexts.addMacrosList(subFolder, 'numExpHere', res)
def compute23d(subFolder, statData): # aggregate
print '\nComputing values for slide 2.3.4.'
values = ParseInput.extractAnswers(statData, [30])
yesNum = values.count('83') + values.count('84')
noNum = values.count('85') + values.count('86')
[yesNumP, noNumP] = StatValues.percent([yesNum,noNum])
BuildTexts.addMacro(subFolder, 'valBCDyesNum', str(yesNum))
BuildTexts.addMacro(subFolder, 'valBCDnoNum', str(noNum))
BuildTexts.addMacro(subFolder, 'valBCDyesNP', str(yesNumP))
BuildTexts.addMacro(subFolder, 'valBCDnoNP', str(noNumP))
BuildCharts.YesNoPieSVG(subFolder, 'pie234.svg', yesNumP, noNumP)
def compute23b(subFolder, statData): # aggregate
print '\nComputing values for slide 2.3.2.'
values = ParseInput.extractAnswers(statData, [52])
yesNum = values.count('99') + values.count('100')
noNum = values.count('101') + values.count('102')
[yesNumP, noNumP] = StatValues.percent([yesNum,noNum])
BuildTexts.addMacro(subFolder, 'valBCByesNum', str(yesNum))
BuildTexts.addMacro(subFolder, 'valBCBnoNum', str(noNum))
BuildTexts.addMacro(subFolder, 'valBCByesNP', str(yesNumP))
BuildTexts.addMacro(subFolder, 'valBCBnoNP', str(noNumP))
BuildCharts.YesNoPieSVG(subFolder, 'pie232.svg', yesNumP, noNumP)
def compute23a(subFolder, statData): # aggregate
print '\nComputing values for slide 2.3.1.'
values = ParseInput.extractAnswers(statData, [23])
yesNum = values.count('61')
noNum = values.count('62')
[yesNumP, noNumP] = StatValues.percent([yesNum,noNum])
BuildTexts.addMacro(subFolder, 'valBCAyesNum', str(yesNum))
BuildTexts.addMacro(subFolder, 'valBCAnoNum', str(noNum))
BuildTexts.addMacro(subFolder, 'valBCAyesNP', str(yesNumP))
BuildTexts.addMacro(subFolder, 'valBCAnoNP', str(noNumP))
BuildCharts.YesNoPieSVG(subFolder, 'pie231.svg', yesNumP, noNumP)
def compute31a(subFolder, statData): # aggregate
print '\nComputing values for slide 3.1.1.'
values = ParseInput.extractAnswers(statData, [43])
yesNum = values.count('103') + values.count('104')
noNum = values.count('105') + values.count('106')
[yesNumP, noNumP] = StatValues.percent([yesNum,noNum])
BuildTexts.addMacro(subFolder, 'valCAAyesNum', str(yesNum))
BuildTexts.addMacro(subFolder, 'valCAAnoNum', str(noNum))
BuildTexts.addMacro(subFolder, 'valCAAyesNP', str(yesNumP))
BuildTexts.addMacro(subFolder, 'valCAAnoNP', str(noNumP))
BuildCharts.YesNoPieSVG(subFolder, 'pie311.svg', yesNumP, noNumP)
def computeParticipatedManWomen(subFolder, statData) :
values = ParseInput.extractAnswers(statData, [9])
men = values.count('14')
women = values.count('15')
BuildTexts.addMacro(subFolder, 'nParticipated', str(men+women))
BuildTexts.addMacro(subFolder, 'numMen', str(men))
BuildTexts.addMacro(subFolder, 'numWomen', str(women))
def compute42c(subFolder, statData): # one question
print '\nComputing values for slide 4.2.c.'
values = ParseInput.extractAnswers(statData, [54])
yesNum = values.count('87') + values.count('88')
noNum = values.count('89') + values.count('90')
[yesNumP, noNumP] = StatValues.percent([yesNum,noNum])
BuildTexts.addMacro(subFolder, 'valDBCyesNum', str(yesNum))
BuildTexts.addMacro(subFolder, 'valDBCnoNum', str(noNum))
BuildTexts.addMacro(subFolder, 'valDBCyesNP', str(yesNumP))
BuildTexts.addMacro(subFolder, 'valDBCnoNP', str(noNumP))
BuildCharts.YesNoPieSVG(subFolder,'pie423.svg', yesNumP, noNumP)
def compute54(subFolder, statData): # by question
print '\nComputing values for slide 5.4.'
values = ParseInput.extractAnswers(statData, [56,57])
values = StatValues.joinListsByQuestion(values)
yesNum = [ val.count('87') + val.count('88') for val in values ]
noNum = [ val.count('89') + val.count('90') for val in values ]
BuildTexts.addMacro(subFolder, 'valGDyesNumA', str(yesNum[0]))
BuildTexts.addMacro(subFolder, 'valGDyesNumB', str(yesNum[1]))
BuildTexts.addMacro(subFolder, 'valGDnoNumA', str(noNum[0]))
BuildTexts.addMacro(subFolder, 'valGDnoNumB', str(noNum[1]))
BuildCharts.YesNoPieSVG(subFolder,'pie54a.svg', yesNum[0], noNum[0])
BuildCharts.YesNoPieSVG(subFolder,'pie54b.svg', yesNum[1], noNum[1])
def computeAllBossTeacher(subFolder, statData) :
values = ParseInput.extractAnswers(statData, [8])
boss = values.count('201') + values.count('202')
teacher = values.count('203')
BuildTexts.addMacro(subFolder, 'nTotal', str(len(statData)))
BuildTexts.addMacro(subFolder, 'numBoss', str(boss))
BuildTexts.addMacro(subFolder, 'numTeacher', str(teacher))
def compute32a(subFolder, statData): # aggregate
print '\nComputing values for slide 3.2.1.'
values = ParseInput.extractAnswers(statData, [40,41,42])
values = StatValues.joinLists(values)
yesNum = values.count('99') + values.count('100')
noNum = values.count('101') + values.count('102')
[yesNumP, noNumP] = StatValues.percent([yesNum,noNum])
BuildTexts.addMacro(subFolder, 'valCBAyesNum', str(yesNum))
BuildTexts.addMacro(subFolder, 'valCBAnoNum', str(noNum))
BuildTexts.addMacro(subFolder, 'valCBAyesNP', str(yesNumP))
BuildTexts.addMacro(subFolder, 'valCBAnoNP', str(noNumP))
BuildCharts.YesNoPieSVG(subFolder, 'pie321.svg', yesNumP, noNumP)
def computeAge(subFolder, statData) :
values = ParseInput.extractAnswers(statData, [14])
years = map(StatValues.toNumber, values)
print '\nYears:', years
ages = [(2014 - y) for y in years]
print 'Ages:', ages
[young, mid, senior, old] = [0,0,0,0]
for age in ages :
if age < 25 and age > 12:
young += 1
elif age < 36 :
mid += 1
elif age < 56 :
senior += 1
elif age >= 56 and age < 120:
old += 1
BuildTexts.addMacro(subFolder, 'numYoung', str(young))
BuildTexts.addMacro(subFolder, 'numMidAge', str(mid))
BuildTexts.addMacro(subFolder, 'numSenior', str(senior))
BuildTexts.addMacro(subFolder, 'numOld', str(old))
def compute42b(subFolder, statData): # one question
print '\nComputing values for slide 4.2.b.'
values = ParseInput.extractAnswers(statData, [45])
ansA = values.count('107')
ansB = values.count('108')
ansC = values.count('109')
ansD = values.count('110')
ansE = values.count('111')
[ansAp, ansBp, ansCp, ansDp, ansEp] = StatValues.percent([ansA, ansB, ansC, ansD, ansE])
BuildTexts.addMacro(subFolder, 'valDBBansAv', str(ansA))
BuildTexts.addMacro(subFolder, 'valDBBansBv', str(ansB))
BuildTexts.addMacro(subFolder, 'valDBBansCv', str(ansC))
BuildTexts.addMacro(subFolder, 'valDBBansDv', str(ansD))
BuildTexts.addMacro(subFolder, 'valDBBansEv', str(ansE))
BuildTexts.addMacro(subFolder, 'valDBBansAp', str(ansAp))
BuildTexts.addMacro(subFolder, 'valDBBansBp', str(ansBp))
BuildTexts.addMacro(subFolder, 'valDBBansCp', str(ansCp))
BuildTexts.addMacro(subFolder, 'valDBBansDp', str(ansDp))
BuildTexts.addMacro(subFolder, 'valDBBansEp', str(ansEp))
BuildCharts.Pie(subFolder,'pie422.svg', [ansAp, ansBp, ansCp, ansDp, ansEp])
def compute42a(subFolder, statData): # one question
print '\nComputing values for slide 4.2.a'
values = ParseInput.extractAnswers(statData, [37])
ansA = values.count('95')
ansB = values.count('96')
ansC = values.count('97')
ansD = values.count('98')
[ansAp, ansBp, ansCp, ansDp] = StatValues.percent([ansA, ansB, ansC, ansD])
BuildTexts.addMacro(subFolder, 'valDBAansAv', str(ansA))
BuildTexts.addMacro(subFolder, 'valDBAansBv', str(ansB))
BuildTexts.addMacro(subFolder, 'valDBAansCv', str(ansC))
BuildTexts.addMacro(subFolder, 'valDBAansDv', str(ansD))
BuildTexts.addMacro(subFolder, 'valDBAansAp', str(ansAp))
BuildTexts.addMacro(subFolder, 'valDBAansBp', str(ansBp))
BuildTexts.addMacro(subFolder, 'valDBAansCp', str(ansCp))
BuildTexts.addMacro(subFolder, 'valDBAansDp', str(ansDp))
BuildCharts.Pie(subFolder,'pie421.svg', [ansAp, ansBp, ansCp, ansDp])
def compute53(subFolder, statData): # by category - q19
print '\nComputing values for slide 5.3.'
values = ParseInput.extractAnswers(statData, [19, 56,57])
values = StatValues.joinListsByCategory(values)
yesNum = [ val.count('87') + val.count('88') for val in values ]
noNum = [ val.count('89') + val.count('90') for val in values ]
BuildTexts.addMacro(subFolder, 'valGCyesNumA', str(yesNum[0]))
BuildTexts.addMacro(subFolder, 'valGCyesNumB', str(yesNum[1]))
BuildTexts.addMacro(subFolder, 'valGCyesNumC', str(yesNum[2]))
BuildTexts.addMacro(subFolder, 'valGCyesNumD', str(yesNum[3]))
BuildTexts.addMacro(subFolder, 'valGCyesNumE', str(yesNum[4]))
BuildTexts.addMacro(subFolder, 'valGCnoNumA', str(noNum[0]))
BuildTexts.addMacro(subFolder, 'valGCnoNumB', str(noNum[1]))
BuildTexts.addMacro(subFolder, 'valGCnoNumC', str(noNum[2]))
BuildTexts.addMacro(subFolder, 'valGCnoNumD', str(noNum[3]))
BuildTexts.addMacro(subFolder, 'valGCnoNumE', str(noNum[4]))
BuildCharts.YesNoPieSVG(subFolder,'pie53a.svg', yesNum[0], noNum[0])
BuildCharts.YesNoPieSVG(subFolder,'pie53b.svg', yesNum[1], noNum[1])
BuildCharts.YesNoPieSVG(subFolder,'pie53c.svg', yesNum[2], noNum[2])
BuildCharts.YesNoPieSVG(subFolder,'pie53d.svg', yesNum[3], noNum[3])
BuildCharts.YesNoPieSVG(subFolder,'pie53e.svg', yesNum[4], noNum[4])
def compute22e(subFolder, statData): # aggregate (1 question)
print '\nComputing values for slide 2.2.5.'
values = ParseInput.extractAnswers(statData, [49])
ansA = values.count('115')
ansB = values.count('116')
ansC = values.count('117')
ansD = values.count('118')
[ansAp, ansBp, ansCp, ansDp] = StatValues.percent([ansA, ansB, ansC, ansD])
BuildTexts.addMacro(subFolder, 'valBBEansA', str(ansA))
BuildTexts.addMacro(subFolder, 'valBBEansB', str(ansB))
BuildTexts.addMacro(subFolder, 'valBBEansC', str(ansC))
BuildTexts.addMacro(subFolder, 'valBBEansD', str(ansD))
BuildTexts.addMacro(subFolder, 'valBBEansAp', str(ansAp))
BuildTexts.addMacro(subFolder, 'valBBEansBp', str(ansBp))
BuildTexts.addMacro(subFolder, 'valBBEansCp', str(ansCp))
BuildTexts.addMacro(subFolder, 'valBBEansDp', str(ansDp))
BuildCharts.Pie(subFolder, 'pie225.svg', [ansAp, ansBp, ansCp, ansDp])
def computeTeachCat(subFolder, statData) :
values = ParseInput.extractAnswers(statData, [19])
keys = [str(i+55) for i in range(5)]
stat = [values.count(key) for key in keys]
print '\nTeacher categories:', values, stat
BuildTexts.addMacrosList(subFolder, 'numTechCat', stat)
def compute23c(subFolder, statData): # aggregate (1 question)
print '\nComputing values for slide 2.3.3.'
values = ParseInput.extractAnswers(statData, [53])
ansA = values.count('120')
ansB = values.count('121')
ansC = values.count('122')
[ansAp, ansBp, ansCp] = StatValues.percent([ansA, ansB, ansC])
BuildTexts.addMacro(subFolder, 'valBCCansA', str(ansA))
BuildTexts.addMacro(subFolder, 'valBCCansB', str(ansB))
BuildTexts.addMacro(subFolder, 'valBCCansC', str(ansC))
BuildTexts.addMacro(subFolder, 'valBCCanAp', str(ansAp))
BuildTexts.addMacro(subFolder, 'valBCCanBp', str(ansBp))
BuildTexts.addMacro(subFolder, 'valBCCanCp', str(ansCp))
BuildCharts.Pie(subFolder, 'pie233.svg', [ansAp, ansBp, ansCp])