Overview

Dataset statistics

Number of variables10
Number of observations10000
Missing cells6
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory918.0 KiB
Average record size in memory94.0 B

Variable types

Numeric6
Categorical4

Dataset

Description2급 응급구조사 국가시험 응시자의 성적 현황을 분석할 수 있는 정보(연도, 직종, 회차, 일련번호, 과목명, 과목별 점수, 총점, 합격여부, 성별, 연령대)를 제공합니다.
URLhttps://www.data.go.kr/data/15060454/fileData.do

Alerts

직종 has constant value ""Constant
연도 is highly overall correlated with 회차 and 1 other fieldsHigh correlation
회차 is highly overall correlated with 연도 and 1 other fieldsHigh correlation
일련번호 is highly overall correlated with 연도 and 1 other fieldsHigh correlation
총점 is highly overall correlated with 합격여부High correlation
합격여부 is highly overall correlated with 총점High correlation
합격여부 is highly imbalanced (50.2%)Imbalance
성별 is highly imbalanced (58.3%)Imbalance
과목별점수 has 1071 (10.7%) zerosZeros
총점 has 749 (7.5%) zerosZeros

Reproduction

Analysis started2023-12-12 04:50:57.550382
Analysis finished2023-12-12 04:51:04.203738
Duration6.65 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연도
Real number (ℝ)

HIGH CORRELATION 

Distinct17
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2009.7065
Minimum2000
Maximum2016
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T13:51:04.267176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2000
5-th percentile2001
Q12006
median2011
Q32014
95-th percentile2015
Maximum2016
Range16
Interquartile range (IQR)8

Descriptive statistics

Standard deviation4.6626529
Coefficient of variation (CV)0.0023200666
Kurtosis-0.95545205
Mean2009.7065
Median Absolute Deviation (MAD)3
Skewness-0.55466465
Sum20097065
Variance21.740332
MonotonicityNot monotonic
2023-12-12T13:51:04.458371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
2014 1477
14.8%
2015 1218
12.2%
2013 1117
11.2%
2012 676
 
6.8%
2008 567
 
5.7%
2010 527
 
5.3%
2009 523
 
5.2%
2007 514
 
5.1%
2011 483
 
4.8%
2004 463
 
4.6%
Other values (7) 2435
24.3%
ValueCountFrequency (%)
2000 328
3.3%
2001 342
3.4%
2002 331
3.3%
2003 421
4.2%
2004 463
4.6%
2005 417
4.2%
2006 368
3.7%
2007 514
5.1%
2008 567
5.7%
2009 523
5.2%
ValueCountFrequency (%)
2016 228
 
2.3%
2015 1218
12.2%
2014 1477
14.8%
2013 1117
11.2%
2012 676
6.8%
2011 483
 
4.8%
2010 527
 
5.3%
2009 523
 
5.2%
2008 567
 
5.7%
2007 514
 
5.1%

직종
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
응급구조사2급
10000 

Length

Max length34
Median length34
Mean length34
Min length34

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row응급구조사2급
2nd row응급구조사2급
3rd row응급구조사2급
4th row응급구조사2급
5th row응급구조사2급

Common Values

ValueCountFrequency (%)
응급구조사2급 10000
100.0%

Length

2023-12-12T13:51:04.676051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:51:04.799750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
응급구조사2급 10000
100.0%

회차
Real number (ℝ)

HIGH CORRELATION 

Distinct17
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.7065
Minimum6
Maximum22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T13:51:04.903789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile7
Q112
median17
Q320
95-th percentile21
Maximum22
Range16
Interquartile range (IQR)8

Descriptive statistics

Standard deviation4.6626529
Coefficient of variation (CV)0.29686135
Kurtosis-0.95545205
Mean15.7065
Median Absolute Deviation (MAD)3
Skewness-0.55466465
Sum157065
Variance21.740332
MonotonicityNot monotonic
2023-12-12T13:51:05.075603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
20 1477
14.8%
21 1218
12.2%
19 1117
11.2%
18 676
 
6.8%
14 567
 
5.7%
16 527
 
5.3%
15 523
 
5.2%
13 514
 
5.1%
17 483
 
4.8%
10 463
 
4.6%
Other values (7) 2435
24.3%
ValueCountFrequency (%)
6 328
3.3%
7 342
3.4%
8 331
3.3%
9 421
4.2%
10 463
4.6%
11 417
4.2%
12 368
3.7%
13 514
5.1%
14 567
5.7%
15 523
5.2%
ValueCountFrequency (%)
22 228
 
2.3%
21 1218
12.2%
20 1477
14.8%
19 1117
11.2%
18 676
6.8%
17 483
 
4.8%
16 527
 
5.3%
15 523
 
5.2%
14 567
 
5.7%
13 514
 
5.1%

일련번호
Real number (ℝ)

HIGH CORRELATION 

Distinct7762
Distinct (%)77.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8234.7315
Minimum2
Maximum16204
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T13:51:05.260504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile939.95
Q14347
median8165
Q312207
95-th percentile15400.05
Maximum16204
Range16202
Interquartile range (IQR)7860

Descriptive statistics

Standard deviation4600.2321
Coefficient of variation (CV)0.55863778
Kurtosis-1.1701436
Mean8234.7315
Median Absolute Deviation (MAD)3953
Skewness-0.011507055
Sum82347315
Variance21162136
MonotonicityNot monotonic
2023-12-12T13:51:05.432814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9030 5
 
0.1%
10254 5
 
0.1%
2040 5
 
0.1%
11377 4
 
< 0.1%
10064 4
 
< 0.1%
1664 4
 
< 0.1%
13186 4
 
< 0.1%
11763 4
 
< 0.1%
8186 4
 
< 0.1%
4245 4
 
< 0.1%
Other values (7752) 9957
99.6%
ValueCountFrequency (%)
2 1
< 0.1%
4 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 2
< 0.1%
10 1
< 0.1%
12 1
< 0.1%
14 1
< 0.1%
18 1
< 0.1%
ValueCountFrequency (%)
16204 1
 
< 0.1%
16203 1
 
< 0.1%
16200 4
< 0.1%
16198 1
 
< 0.1%
16197 1
 
< 0.1%
16196 2
< 0.1%
16195 1
 
< 0.1%
16193 2
< 0.1%
16191 1
 
< 0.1%
16187 1
 
< 0.1%

과목명
Categorical

Distinct11
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
응급의료관련법령
1541 
기본응급처치학각론
1529 
기본응급처치학총론
1493 
응급의료장비
1483 
기본응급환자관리
1474 
Other values (6)
2480 

Length

Max length10
Median length9
Mean length8.0846
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row기본응급환자관리
2nd row응급의료관련법령
3rd row응급의료장비
4th row기본응급처치학각론
5th row기본응급환자관리

Common Values

ValueCountFrequency (%)
응급의료관련법령 1541
15.4%
기본응급처치학각론 1529
15.3%
기본응급처치학총론 1493
14.9%
응급의료장비 1483
14.8%
기본응급환자관리 1474
14.7%
2급응급구조사 실기 1450
14.5%
실기시험 235
 
2.4%
응급의료장비운영 210
 
2.1%
임상응급의학 200
 
2.0%
응급의학총론 196
 
2.0%

Length

2023-12-12T13:51:05.656067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
응급의료관련법령 1541
13.5%
기본응급처치학각론 1529
13.4%
기본응급처치학총론 1493
13.0%
응급의료장비 1483
13.0%
기본응급환자관리 1474
12.9%
2급응급구조사 1450
12.7%
실기 1450
12.7%
실기시험 235
 
2.1%
응급의료장비운영 210
 
1.8%
임상응급의학 200
 
1.7%
Other values (2) 385
 
3.4%

과목별점수
Real number (ℝ)

ZEROS 

Distinct169
Distinct (%)1.7%
Missing6
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean22.508814
Minimum0
Maximum100
Zeros1071
Zeros (%)10.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T13:51:05.867983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q113
median19
Q331.375
95-th percentile53
Maximum100
Range100
Interquartile range (IQR)18.375

Descriptive statistics

Standard deviation15.592975
Coefficient of variation (CV)0.69274971
Kurtosis0.68767218
Mean22.508814
Median Absolute Deviation (MAD)8
Skewness0.8557363
Sum224953.09
Variance243.14086
MonotonicityNot monotonic
2023-12-12T13:51:06.039194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1071
 
10.7%
15.0 461
 
4.6%
14.0 441
 
4.4%
18.0 409
 
4.1%
17.0 399
 
4.0%
16.0 398
 
4.0%
13.0 395
 
4.0%
19.0 383
 
3.8%
20.0 355
 
3.5%
12.0 335
 
3.4%
Other values (159) 5347
53.5%
ValueCountFrequency (%)
0.0 1071
10.7%
1.0 6
 
0.1%
2.0 6
 
0.1%
3.0 12
 
0.1%
4.0 22
 
0.2%
5.0 21
 
0.2%
6.0 56
 
0.6%
7.0 60
 
0.6%
8.0 90
 
0.9%
9.0 162
 
1.6%
ValueCountFrequency (%)
100.0 1
 
< 0.1%
94.0 3
< 0.1%
93.0 2
 
< 0.1%
92.0 5
0.1%
90.0 1
 
< 0.1%
89.0 3
< 0.1%
88.0 4
< 0.1%
87.0 1
 
< 0.1%
86.0 1
 
< 0.1%
85.0 4
< 0.1%

총점
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct537
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean130.7126
Minimum0
Maximum225
Zeros749
Zeros (%)7.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T13:51:06.197082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1127
median144
Q3158.5
95-th percentile177.5
Maximum225
Range225
Interquartile range (IQR)31.5

Descriptive statistics

Standard deviation48.754555
Coefficient of variation (CV)0.37299048
Kurtosis1.9867436
Mean130.7126
Median Absolute Deviation (MAD)15.5
Skewness-1.6777887
Sum1307126
Variance2377.0066
MonotonicityNot monotonic
2023-12-12T13:51:06.383376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 749
 
7.5%
149.0 115
 
1.1%
151.0 102
 
1.0%
160.0 95
 
0.9%
155.0 95
 
0.9%
142.0 95
 
0.9%
158.0 94
 
0.9%
154.5 92
 
0.9%
141.0 92
 
0.9%
147.5 91
 
0.9%
Other values (527) 8380
83.8%
ValueCountFrequency (%)
0.0 749
7.5%
3.0 2
 
< 0.1%
5.0 5
 
0.1%
6.0 7
 
0.1%
7.0 3
 
< 0.1%
8.0 2
 
< 0.1%
9.0 3
 
< 0.1%
9.5 1
 
< 0.1%
10.0 4
 
< 0.1%
11.0 2
 
< 0.1%
ValueCountFrequency (%)
225.0 1
 
< 0.1%
221.0 1
 
< 0.1%
220.0 4
< 0.1%
219.0 4
< 0.1%
217.0 4
< 0.1%
215.0 2
 
< 0.1%
214.0 7
0.1%
213.0 5
0.1%
212.0 2
 
< 0.1%
211.0 9
0.1%

합격여부
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
합격
7293 
불합격
2359 
결시
 
343
응시결격
 
5

Length

Max length4
Median length2
Mean length2.2369
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row합격
2nd row불합격
3rd row불합격
4th row합격
5th row불합격

Common Values

ValueCountFrequency (%)
합격 7293
72.9%
불합격 2359
 
23.6%
결시 343
 
3.4%
응시결격 5
 
0.1%

Length

2023-12-12T13:51:06.532092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:51:06.646144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
합격 7293
72.9%
불합격 2359
 
23.6%
결시 343
 
3.4%
응시결격 5
 
< 0.1%

성별
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
남
9158 
여
 
842

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row남
2nd row남
3rd row여
4th row남
5th row남

Common Values

ValueCountFrequency (%)
남 9158
91.6%
여 842
 
8.4%

Length

2023-12-12T13:51:06.752251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:51:06.844312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남 9158
91.6%
여 842
 
8.4%

연령대
Real number (ℝ)

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.519
Minimum10
Maximum60
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T13:51:06.927707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile20
Q120
median30
Q330
95-th percentile40
Maximum60
Range50
Interquartile range (IQR)10

Descriptive statistics

Standard deviation6.6754097
Coefficient of variation (CV)0.23406886
Kurtosis0.2809396
Mean28.519
Median Absolute Deviation (MAD)0
Skewness0.31580908
Sum285190
Variance44.561095
MonotonicityNot monotonic
2023-12-12T13:51:07.032351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
30 5763
57.6%
20 2849
28.5%
40 1247
 
12.5%
50 97
 
1.0%
10 41
 
0.4%
60 3
 
< 0.1%
ValueCountFrequency (%)
10 41
 
0.4%
20 2849
28.5%
30 5763
57.6%
40 1247
 
12.5%
50 97
 
1.0%
60 3
 
< 0.1%
ValueCountFrequency (%)
60 3
 
< 0.1%
50 97
 
1.0%
40 1247
 
12.5%
30 5763
57.6%
20 2849
28.5%
10 41
 
0.4%

Interactions

2023-12-12T13:51:03.123209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:50:59.227816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:51:00.039639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:51:00.834052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:51:01.509582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:51:02.171903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:51:03.254297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:50:59.365257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:51:00.211444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:51:00.972307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:51:01.615065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:51:02.289085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:51:03.375880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:50:59.519089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:51:00.354311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:51:01.093493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:51:01.716575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:51:02.399901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:51:03.501868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:50:59.683033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:51:00.477424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:51:01.196609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:51:01.854990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:51:02.808356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:51:03.602940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:50:59.809328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:51:00.628393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:51:01.288049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:51:01.960371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:51:02.902726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:51:03.724895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:50:59.923787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:51:00.725621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:51:01.376307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:51:02.046251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:51:02.998991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T13:51:07.139423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연도회차일련번호과목명과목별점수총점합격여부성별연령대
연도1.0000.9990.9830.5630.1910.3380.2170.1230.268
회차0.9991.0000.9810.5870.3600.5900.2280.1300.272
일련번호0.9830.9811.0000.5940.3370.5390.2180.1460.274
과목명0.5630.5870.5941.0000.7040.2900.0970.0620.114
과목별점수0.1910.3600.3370.7041.0000.7150.5680.0530.064
총점0.3380.5900.5390.2900.7151.0000.7500.0880.146
합격여부0.2170.2280.2180.0970.5680.7501.0000.0550.098
성별0.1230.1300.1460.0620.0530.0880.0551.0000.283
연령대0.2680.2720.2740.1140.0640.1460.0980.2831.000
2023-12-12T13:51:07.238674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
성별합격여부과목명
성별1.0000.0370.060
합격여부0.0371.0000.059
과목명0.0600.0591.000
2023-12-12T13:51:07.321729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연도회차일련번호과목별점수총점연령대과목명합격여부성별
연도1.0001.0000.996-0.103-0.216-0.2280.2970.1380.102
회차1.0001.0000.996-0.103-0.216-0.2280.2970.1380.102
일련번호0.9960.9961.000-0.099-0.208-0.2340.3020.1320.112
과목별점수-0.103-0.103-0.0991.0000.449-0.0280.3830.3580.038
총점-0.216-0.216-0.2080.4491.0000.0330.1270.5580.065
연령대-0.228-0.228-0.234-0.0280.0331.0000.0580.0630.204
과목명0.2970.2970.3020.3830.1270.0581.0000.0590.060
합격여부0.1380.1380.1320.3580.5580.0630.0591.0000.037
성별0.1020.1020.1120.0380.0650.2040.0600.0371.000

Missing values

2023-12-12T13:51:03.906804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:51:04.122884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

연도직종회차일련번호과목명과목별점수총점합격여부성별연령대
758312014응급구조사2급2012961기본응급환자관리21.0157.5합격남20
607022013응급구조사2급1910439응급의료관련법령0.00.0불합격남30
436472010응급구조사2급167597응급의료장비5.0127.0불합격여30
496722011응급구조사2급178601기본응급처치학각론32.0151.5합격남30
320572008응급구조사2급145665기본응급환자관리0.056.0불합격남30
576532013응급구조사2급1999312급응급구조사 실기52.5143.5합격남30
803552014응급구조사2급2013715기본응급환자관리22.0159.5합격남30
124292003응급구조사2급92394응급의료장비17.0164.0합격남30
719082014응급구조사2급2012307기본응급처치학총론27.0128.5합격남20
46642001응급구조사2급7933응급의학총론24.0154.5합격남30
연도직종회차일련번호과목명과목별점수총점합격여부성별연령대
455652011응급구조사2급1779162급응급구조사 실기50.5155.5합격남40
146992004응급구조사2급102772기본응급환자관리17.0153.25합격남40
194242005응급구조사2급113559응급의료관련법령14.0166.0합격남40
148912004응급구조사2급102804기본응급환자관리12.0135.5합격남30
627022013응급구조사2급1910773기본응급처치학각론38.0148.0합격남20
371342009응급구조사2급156511기본응급처치학총론21.0136.0합격남30
453922011응급구조사2급177887응급의료관련법령13.0132.0합격남40
869402015응급구조사2급2114812실기시험46.0133.0합격남40
370192009응급구조사2급156492기본응급환자관리23.0154.5합격남20
543702012응급구조사2급189384기본응급처치학각론36.0145.0합격남30