"ID"	"Sex"	"SEX"	"Age"	"Edu"	"Country"	"CHINA"	"Condition"	"CONDITION"	"Round"	"Score"	"Rank"	"CHOICE"	"choice"	"RISK"	"q1"	"q2"	"q3"	"q4"	"q5"	"q6"	"q7"	"q8"	"q9"	"q10"	"q11"	"q12"	"personalityScore"	"personalityScoreR2"
"1"	1	"Female"	2	"18-25"	"Undergraduate Degree"	"United Kingdom"	0	"saferisky"	3	3	25000	1	1	"builds"	0	2	2	1	1	1	1	1	3	1	1	1	1	16	0.266666667
"2"	1	"Female"	2	"18-25"	"Undergraduate Degree"	"United Kingdom"	0	"saferisky"	3	1	16850	3	1	"builds"	0	2	2	1	1	1	1	1	3	1	1	1	1	16	0.266666667
"3"	1	"Female"	2	"18-25"	"Undergraduate Degree"	"United Kingdom"	0	"saferisky"	3	2	8780	5	2	"scrapheap"	1	2	2	1	1	1	1	1	3	1	1	1	1	16	0.266666667
"4"	2	"Female"	2	"18-25"	"College Diploma"	"Austria"	0	"saferisky"	3	1	25000	1	1	"builds"	0	2	4	4	2	3	4	4	2	2	1	1	2	31	0.516666667
"5"	2	"Female"	2	"18-25"	"College Diploma"	"Austria"	0	"saferisky"	3	3	16850	3	1	"builds"	0	2	4	4	2	3	4	4	2	2	1	1	2	31	0.516666667
"6"	2	"Female"	2	"18-25"	"College Diploma"	"Austria"	0	"saferisky"	3	2	8780	5	2	"scrapheap"	1	2	4	4	2	3	4	4	2	2	1	1	2	31	0.516666667
"7"	3	"Female"	2	"18-25"	"Undergraduate Degree"	"Norway"	0	"saferisky"	3	3	25000	1	1	"builds"	0	3	4	1	1	1	3	2	2	3	2	2	3	27	0.45
"8"	3	"Female"	2	"18-25"	"Undergraduate Degree"	"Norway"	0	"saferisky"	3	1	16850	3	1	"builds"	0	3	4	1	1	1	3	2	2	3	2	2	3	27	0.45
"9"	3	"Female"	2	"18-25"	"Undergraduate Degree"	"Norway"	0	"saferisky"	3	2	8780	5	1	"builds"	0	3	4	1	1	1	3	2	2	3	2	2	3	27	0.45
"10"	4	"Female"	2	"18-25"	"Undergraduate Degree"	"Denmark"	0	"safesafe"	2	3	25000	1	2	"scrapheap"	0	3	4	3	1	1	3	1	1	1	1	1	1	21	0.35
"11"	4	"Female"	2	"18-25"	"Undergraduate Degree"	"Denmark"	0	"safesafe"	2	2	16850	3	2	"scrapheap"	0	3	4	3	1	1	3	1	1	1	1	1	1	21	0.35
"12"	4	"Female"	2	"18-25"	"Undergraduate Degree"	"Denmark"	0	"safesafe"	2	1	8780	5	2	"scrapheap"	0	3	4	3	1	1	3	1	1	1	1	1	1	21	0.35
"13"	5	"Male"	1	"18-25"	"Undergraduate Degree"	"Malaysia"	0	"saferisky"	3	1	25000	1	2	"scrapheap"	1	1	4	1	1	2	5	5	2	1	1	1	1	25	0.416666667
"14"	5	"Male"	1	"18-25"	"Undergraduate Degree"	"Malaysia"	0	"saferisky"	3	3	16850	3	2	"scrapheap"	1	1	4	1	1	2	5	5	2	1	1	1	1	25	0.416666667
"15"	5	"Male"	1	"18-25"	"Undergraduate Degree"	"Malaysia"	0	"saferisky"	3	2	8780	5	1	"builds"	0	1	4	1	1	2	5	5	2	1	1	1	1	25	0.416666667
"16"	6	"Female"	2	"18-25"	"Undergraduate Degree"	"China"	1	"saferisky"	3	3	25000	1	2	"scrapheap"	1	1	4	4	3	1	3	2	2	1	1	2	2	26	0.433333333
"17"	6	"Female"	2	"18-25"	"Undergraduate Degree"	"China"	1	"saferisky"	3	1	16850	3	1	"builds"	0	1	4	4	3	1	3	2	2	1	1	2	2	26	0.433333333
"18"	6	"Female"	2	"18-25"	"Undergraduate Degree"	"China"	1	"saferisky"	3	2	8780	5	1	"builds"	0	1	4	4	3	1	3	2	2	1	1	2	2	26	0.433333333
"19"	7	"Female"	2	"18-25"	"Secondary"	"United Kingdom"	0	"safesafe"	2	1	25000	1	2	"scrapheap"	0	2	3	3	2	2	5	1	1	1	1	1	1	23	0.383333333
"20"	7	"Female"	2	"18-25"	"Secondary"	"United Kingdom"	0	"safesafe"	2	3	16850	3	2	"scrapheap"	0	2	3	3	2	2	5	1	1	1	1	1	1	23	0.383333333
"21"	7	"Female"	2	"18-25"	"Secondary"	"United Kingdom"	0	"safesafe"	2	2	8780	5	2	"scrapheap"	0	2	3	3	2	2	5	1	1	1	1	1	1	23	0.383333333
"22"	8	"Female"	2	"18-25"	"Secondary"	"Czech Republic"	0	"saferisky"	3	1	25000	1	2	"scrapheap"	1	4	5	4	3	3	4	1	1	1	1	1	3	31	0.516666667
"23"	8	"Female"	2	"18-25"	"Secondary"	"Czech Republic"	0	"saferisky"	3	3	16850	3	1	"builds"	0	4	5	4	3	3	4	1	1	1	1	1	3	31	0.516666667
"24"	8	"Female"	2	"18-25"	"Secondary"	"Czech Republic"	0	"saferisky"	3	2	8780	5	2	"scrapheap"	1	4	5	4	3	3	4	1	1	1	1	1	3	31	0.516666667
"25"	9	"Male"	1	"under 18"	"Undergraduate Degree"	"United Kingdom"	0	"saferisky"	3	1	25000	1	1	"builds"	0	4	4	2	3	1	1	2	1	1	1	1	3	24	0.4
"26"	9	"Male"	1	"under 18"	"Undergraduate Degree"	"United Kingdom"	0	"saferisky"	3	3	16850	3	2	"scrapheap"	1	4	4	2	3	1	1	2	1	1	1	1	3	24	0.4
"27"	9	"Male"	1	"under 18"	"Undergraduate Degree"	"United Kingdom"	0	"saferisky"	3	2	8780	5	2	"scrapheap"	1	4	4	2	3	1	1	2	1	1	1	1	3	24	0.4
"28"	10	"Female"	2	"18-25"	"Undergraduate Degree"	"United Kingdom"	0	"safesafe"	2	3	25000	1	2	"scrapheap"	0	3	4	1	1	2	4	2	2	1	1	1	1	23	0.383333333
"29"	10	"Female"	2	"18-25"	"Undergraduate Degree"	"United Kingdom"	0	"safesafe"	2	1	16850	3	1	"builds"	0	3	4	1	1	2	4	2	2	1	1	1	1	23	0.383333333
"30"	10	"Female"	2	"18-25"	"Undergraduate Degree"	"United Kingdom"	0	"safesafe"	2	2	8780	5	2	"scrapheap"	0	3	4	1	1	2	4	2	2	1	1	1	1	23	0.383333333
"31"	11	"Female"	2	"18-25"	"Undergraduate Degree"	"United Kingdom"	0	"safesafe"	2	3	25000	1	2	"scrapheap"	0	3	3	2	1	1	3	1	1	2	2	1	2	22	0.366666667
"32"	11	"Female"	2	"18-25"	"Undergraduate Degree"	"United Kingdom"	0	"safesafe"	2	1	16850	3	2	"scrapheap"	0	3	3	2	1	1	3	1	1	2	2	1	2	22	0.366666667
"33"	11	"Female"	2	"18-25"	"Undergraduate Degree"	"United Kingdom"	0	"safesafe"	2	2	8780	5	1	"builds"	0	3	3	2	1	1	3	1	1	2	2	1	2	22	0.366666667
"34"	12	"Male"	1	"18-25"	"Secondary"	"Latvia"	0	"safesafe"	2	1	25000	1	2	"scrapheap"	0	5	5	2	1	1	1	3	2	1	1	1	2	25	0.416666667
"35"	12	"Male"	1	"18-25"	"Secondary"	"Latvia"	0	"safesafe"	2	3	16850	3	2	"scrapheap"	0	5	5	2	1	1	1	3	2	1	1	1	2	25	0.416666667
"36"	12	"Male"	1	"18-25"	"Secondary"	"Latvia"	0	"safesafe"	2	2	8780	5	1	"builds"	0	5	5	2	1	1	1	3	2	1	1	1	2	25	0.416666667
"37"	13	"Male"	1	"18-25"	"Postgraduate Degree"	"United Kingdom"	0	"safesafe"	2	3	25000	1	1	"builds"	0	2	4	4	2	1	4	4	1	3	1	1	1	28	0.466666667
"38"	13	"Male"	1	"18-25"	"Postgraduate Degree"	"United Kingdom"	0	"safesafe"	2	1	16850	3	1	"builds"	0	2	4	4	2	1	4	4	1	3	1	1	1	28	0.466666667
"39"	13	"Male"	1	"18-25"	"Postgraduate Degree"	"United Kingdom"	0	"safesafe"	2	2	8780	5	2	"scrapheap"	0	2	4	4	2	1	4	4	1	3	1	1	1	28	0.466666667
"40"	14	"Female"	2	"18-25"	"Postgraduate Degree"	"India"	0	"saferisky"	3	1	25000	1	2	"scrapheap"	1	2	1	1	1	1	3	1	1	2	1	2	3	19	0.316666667
"41"	14	"Female"	2	"18-25"	"Postgraduate Degree"	"India"	0	"saferisky"	3	3	16850	3	1	"builds"	0	2	1	1	1	1	3	1	1	2	1	2	3	19	0.316666667
"42"	14	"Female"	2	"18-25"	"Postgraduate Degree"	"India"	0	"saferisky"	3	2	8780	5	1	"builds"	0	2	1	1	1	1	3	1	1	2	1	2	3	19	0.316666667
"43"	15	"Male"	1	"26-35"	"Postgraduate Degree"	"United Kingdom"	0	"riskysafe"	1	3	25000	1	2	"scrapheap"	0	2	3	1	1	1	5	2	1	1	1	2	1	21	0.35
"44"	15	"Male"	1	"26-35"	"Postgraduate Degree"	"United Kingdom"	0	"riskysafe"	1	2	16850	3	2	"scrapheap"	0	2	3	1	1	1	5	2	1	1	1	2	1	21	0.35
"45"	15	"Male"	1	"26-35"	"Postgraduate Degree"	"United Kingdom"	0	"riskysafe"	1	1	8780	5	1	"builds"	1	2	3	1	1	1	5	2	1	1	1	2	1	21	0.35
"46"	16	"Female"	2	"18-25"	"Undergraduate Degree"	"Switzerland"	0	"safesafe"	2	1	25000	1	1	"builds"	0	2	1	2	1	1	2	2	2	1	1	1	1	17	0.283333333
"47"	16	"Female"	2	"18-25"	"Undergraduate Degree"	"Switzerland"	0	"safesafe"	2	3	16850	3	1	"builds"	0	2	1	2	1	1	2	2	2	1	1	1	1	17	0.283333333
"48"	16	"Female"	2	"18-25"	"Undergraduate Degree"	"Switzerland"	0	"safesafe"	2	2	8780	5	2	"scrapheap"	0	2	1	2	1	1	2	2	2	1	1	1	1	17	0.283333333
"49"	17	"Female"	2	"18-25"	"Undergraduate Degree"	"United Kingdom"	0	"saferisky"	3	1	25000	1	1	"builds"	0	3	1	2	1	1	5	1	1	1	1	1	1	19	0.316666667
"50"	17	"Female"	2	"18-25"	"Undergraduate Degree"	"United Kingdom"	0	"saferisky"	3	3	16850	3	1	"builds"	0	3	1	2	1	1	5	1	1	1	1	1	1	19	0.316666667
"51"	17	"Female"	2	"18-25"	"Undergraduate Degree"	"United Kingdom"	0	"saferisky"	3	2	8780	5	2	"scrapheap"	1	3	1	2	1	1	5	1	1	1	1	1	1	19	0.316666667
"52"	18	"Male"	1	"18-25"	"Undergraduate Degree"	"United Kingdom"	0	"riskysafe"	1	1	25000	1	2	"scrapheap"	0	2	4	1	2	3	4	2	1	1	1	1	1	23	0.383333333
"53"	18	"Male"	1	"18-25"	"Undergraduate Degree"	"United Kingdom"	0	"riskysafe"	1	3	16850	3	1	"builds"	1	2	4	1	2	3	4	2	1	1	1	1	1	23	0.383333333
"54"	18	"Male"	1	"18-25"	"Undergraduate Degree"	"United Kingdom"	0	"riskysafe"	1	2	8780	5	1	"builds"	1	2	4	1	2	3	4	2	1	1	1	1	1	23	0.383333333
"55"	19	"Male"	1	"18-25"	"Undergraduate Degree"	"Malaysia"	0	"safesafe"	2	3	25000	1	1	"builds"	0	3	2	1	1	1	4	4	1	1	2	2	4	26	0.433333333
"56"	19	"Male"	1	"18-25"	"Undergraduate Degree"	"Malaysia"	0	"safesafe"	2	2	16850	3	1	"builds"	0	3	2	1	1	1	4	4	1	1	2	2	4	26	0.433333333
"57"	19	"Male"	1	"18-25"	"Undergraduate Degree"	"Malaysia"	0	"safesafe"	2	1	8780	5	2	"scrapheap"	0	3	2	1	1	1	4	4	1	1	2	2	4	26	0.433333333
"58"	20	"Male"	1	"18-25"	"Undergraduate Degree"	"Malaysia"	0	"saferisky"	3	3	25000	1	1	"builds"	0	2	4	5	4	5	2	5	1	2	1	1	3	35	0.583333333
"59"	20	"Male"	1	"18-25"	"Undergraduate Degree"	"Malaysia"	0	"saferisky"	3	1	16850	3	2	"scrapheap"	1	2	4	5	4	5	2	5	1	2	1	1	3	35	0.583333333
"60"	20	"Male"	1	"18-25"	"Undergraduate Degree"	"Malaysia"	0	"saferisky"	3	2	8780	5	2	"scrapheap"	1	2	4	5	4	5	2	5	1	2	1	1	3	35	0.583333333
"61"	21	"Male"	1	"18-25"	"Undergraduate Degree"	"Malaysia"	0	"safesafe"	2	1	25000	1	1	"builds"	0	2	1	1	1	1	1	2	1	2	1	1	1	15	0.25
"62"	21	"Male"	1	"18-25"	"Undergraduate Degree"	"Malaysia"	0	"safesafe"	2	2	16850	3	1	"builds"	0	2	1	1	1	1	1	2	1	2	1	1	1	15	0.25
"63"	21	"Male"	1	"18-25"	"Undergraduate Degree"	"Malaysia"	0	"safesafe"	2	3	8780	5	2	"scrapheap"	0	2	1	1	1	1	1	2	1	2	1	1	1	15	0.25
"64"	22	"Female"	2	"18-25"	"Secondary"	"Austria"	0	"safesafe"	2	1	25000	1	2	"scrapheap"	0	4	4	3	1	1	1	1	1	1	1	2	1	21	0.35
"65"	22	"Female"	2	"18-25"	"Secondary"	"Austria"	0	"safesafe"	2	2	16850	3	2	"scrapheap"	0	4	4	3	1	1	1	1	1	1	1	2	1	21	0.35
"66"	22	"Female"	2	"18-25"	"Secondary"	"Austria"	0	"safesafe"	2	3	8780	5	1	"builds"	0	4	4	3	1	1	1	1	1	1	1	2	1	21	0.35
"67"	23	"Male"	1	"18-25"	"Undergraduate Degree"	"United Kingdom"	0	"saferisky"	3	3	25000	1	2	"scrapheap"	1	4	4	4	3	3	4	4	2	2	1	1	1	33	0.55
"68"	23	"Male"	1	"18-25"	"Undergraduate Degree"	"United Kingdom"	0	"saferisky"	3	1	16850	3	1	"builds"	0	4	4	4	3	3	4	4	2	2	1	1	1	33	0.55
"69"	23	"Male"	1	"18-25"	"Undergraduate Degree"	"United Kingdom"	0	"saferisky"	3	2	8780	5	1	"builds"	0	4	4	4	3	3	4	4	2	2	1	1	1	33	0.55
"70"	24	"Male"	1	"18-25"	"Postgraduate Degree"	"Czech Republic"	0	"saferisky"	3	1	25000	1	1	"builds"	0	1	2	1	2	3	3	4	4	1	1	1	1	24	0.4
"71"	24	"Male"	1	"18-25"	"Postgraduate Degree"	"Czech Republic"	0	"saferisky"	3	2	16850	3	2	"scrapheap"	1	1	2	1	2	3	3	4	4	1	1	1	1	24	0.4
"72"	24	"Male"	1	"18-25"	"Postgraduate Degree"	"Czech Republic"	0	"saferisky"	3	3	8780	5	2	"scrapheap"	1	1	2	1	2	3	3	4	4	1	1	1	1	24	0.4
"73"	25	"Male"	1	"18-25"	"Secondary"	"Turkey"	0	"riskysafe"	1	3	25000	1	2	"scrapheap"	0	5	5	5	5	1	1	2	5	4	5	4	5	47	0.783333333
"74"	25	"Male"	1	"18-25"	"Secondary"	"Turkey"	0	"riskysafe"	1	2	16850	3	1	"builds"	1	5	5	5	5	1	1	2	5	4	5	4	5	47	0.783333333
"75"	25	"Male"	1	"18-25"	"Secondary"	"Turkey"	0	"riskysafe"	1	1	8780	5	1	"builds"	1	5	5	5	5	1	1	2	5	4	5	4	5	47	0.783333333
"76"	26	"Male"	1	"18-25"	"Secondary"	"United Kingdom"	0	"safesafe"	2	3	25000	1	2	"scrapheap"	0	2	2	2	1	2	3	1	2	1	1	2	1	20	0.333333333
"77"	26	"Male"	1	"18-25"	"Secondary"	"United Kingdom"	0	"safesafe"	2	1	16850	3	2	"scrapheap"	0	2	2	2	1	2	3	1	2	1	1	2	1	20	0.333333333
"78"	26	"Male"	1	"18-25"	"Secondary"	"United Kingdom"	0	"safesafe"	2	2	8780	5	2	"scrapheap"	0	2	2	2	1	2	3	1	2	1	1	2	1	20	0.333333333
"79"	27	"Female"	2	"18-25"	"Undergraduate Degree"	"Slovakia"	0	"safesafe"	2	3	25000	1	1	"builds"	0	3	5	4	2	1	1	1	1	2	2	1	4	27	0.45
"80"	27	"Female"	2	"18-25"	"Undergraduate Degree"	"Slovakia"	0	"safesafe"	2	1	16850	3	1	"builds"	0	3	5	4	2	1	1	1	1	2	2	1	4	27	0.45
"81"	27	"Female"	2	"18-25"	"Undergraduate Degree"	"Slovakia"	0	"safesafe"	2	2	8780	5	2	"scrapheap"	0	3	5	4	2	1	1	1	1	2	2	1	4	27	0.45
"82"	28	"Female"	2	"18-25"	"Undergraduate Degree"	"United States"	0	"riskysafe"	1	1	25000	1	1	"builds"	1	4	4	3	4	4	5	2	3	4	2	3	1	39	0.65
"83"	28	"Female"	2	"18-25"	"Undergraduate Degree"	"United States"	0	"riskysafe"	1	3	16850	3	2	"scrapheap"	0	4	4	3	4	4	5	2	3	4	2	3	1	39	0.65
"84"	28	"Female"	2	"18-25"	"Undergraduate Degree"	"United States"	0	"riskysafe"	1	2	8780	5	2	"scrapheap"	0	4	4	3	4	4	5	2	3	4	2	3	1	39	0.65
"85"	29	"Female"	2	"18-25"	"Secondary"	"Italy"	0	"riskysafe"	1	3	25000	1	2	"scrapheap"	0	1	4	2	2	1	1	1	1	1	1	1	1	17	0.283333333
"86"	29	"Female"	2	"18-25"	"Secondary"	"Italy"	0	"riskysafe"	1	1	16850	3	2	"scrapheap"	0	1	4	2	2	1	1	1	1	1	1	1	1	17	0.283333333
"87"	29	"Female"	2	"18-25"	"Secondary"	"Italy"	0	"riskysafe"	1	2	8780	5	1	"builds"	1	1	4	2	2	1	1	1	1	1	1	1	1	17	0.283333333
"88"	30	"Female"	2	"18-25"	"Undergraduate Degree"	"Canada"	0	"riskysafe"	1	3	25000	1	2	"scrapheap"	0	1	3	1	1	1	1	3	3	1	1	4	1	21	0.35
"89"	30	"Female"	2	"18-25"	"Undergraduate Degree"	"Canada"	0	"riskysafe"	1	2	16850	3	2	"scrapheap"	0	1	3	1	1	1	1	3	3	1	1	4	1	21	0.35
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