Overview

Dataset statistics

Number of variables10
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory918.0 KiB
Average record size in memory94.0 B

Variable types

Numeric6
Categorical4

Dataset

Description한약사 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/15083520/fileData.do

Alerts

직종 has constant value ""Constant
연도 is highly overall correlated with 회차 and 2 other fieldsHigh correlation
회차 is highly overall correlated with 연도 and 2 other fieldsHigh correlation
일련번호 is highly overall correlated with 연도 and 2 other fieldsHigh correlation
과목별점수 is highly overall correlated with 총점High correlation
총점 is highly overall correlated with 연도 and 3 other fieldsHigh correlation
합격여부 is highly overall correlated with 일련번호 and 1 other fieldsHigh correlation
과목별점수 has 1428 (14.3%) zerosZeros
총점 has 1423 (14.2%) zerosZeros

Reproduction

Analysis started2023-12-12 23:00:10.697162
Analysis finished2023-12-12 23:00:15.982588
Duration5.29 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연도
Real number (ℝ)

HIGH CORRELATION 

Distinct24
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2006.9959
Minimum2000
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T08:00:16.048283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2000
5-th percentile2001
Q12001
median2005
Q32012
95-th percentile2021
Maximum2023
Range23
Interquartile range (IQR)11

Descriptive statistics

Standard deviation6.700595
Coefficient of variation (CV)0.0033386192
Kurtosis-0.49285289
Mean2006.9959
Median Absolute Deviation (MAD)4
Skewness0.83745727
Sum20069959
Variance44.897973
MonotonicityNot monotonic
2023-12-13T08:00:16.178333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
2001 3332
33.3%
2002 473
 
4.7%
2005 463
 
4.6%
2004 429
 
4.3%
2007 388
 
3.9%
2000 362
 
3.6%
2010 351
 
3.5%
2006 350
 
3.5%
2008 349
 
3.5%
2014 348
 
3.5%
Other values (14) 3155
31.6%
ValueCountFrequency (%)
2000 362
 
3.6%
2001 3332
33.3%
2002 473
 
4.7%
2003 271
 
2.7%
2004 429
 
4.3%
2005 463
 
4.6%
2006 350
 
3.5%
2007 388
 
3.9%
2008 349
 
3.5%
2009 340
 
3.4%
ValueCountFrequency (%)
2023 202
2.0%
2022 172
1.7%
2021 165
1.7%
2020 195
1.9%
2019 152
1.5%
2018 204
2.0%
2017 146
1.5%
2016 166
1.7%
2015 187
1.9%
2014 348
3.5%

직종
Categorical

CONSTANT 

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

Length

Max length37
Median length37
Mean length37
Min length37

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
한약사 10000
100.0%

Length

2023-12-13T08:00:16.303396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:00:16.420564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한약사 10000
100.0%

회차
Real number (ℝ)

HIGH CORRELATION 

Distinct24
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.9959
Minimum1
Maximum24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T08:00:16.534608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median6
Q313
95-th percentile22
Maximum24
Range23
Interquartile range (IQR)11

Descriptive statistics

Standard deviation6.700595
Coefficient of variation (CV)0.83800385
Kurtosis-0.49285289
Mean7.9959
Median Absolute Deviation (MAD)4
Skewness0.83745727
Sum79959
Variance44.897973
MonotonicityNot monotonic
2023-12-13T08:00:16.685996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
2 3332
33.3%
3 473
 
4.7%
6 463
 
4.6%
5 429
 
4.3%
8 388
 
3.9%
1 362
 
3.6%
11 351
 
3.5%
7 350
 
3.5%
9 349
 
3.5%
15 348
 
3.5%
Other values (14) 3155
31.6%
ValueCountFrequency (%)
1 362
 
3.6%
2 3332
33.3%
3 473
 
4.7%
4 271
 
2.7%
5 429
 
4.3%
6 463
 
4.6%
7 350
 
3.5%
8 388
 
3.9%
9 349
 
3.5%
10 340
 
3.4%
ValueCountFrequency (%)
24 202
2.0%
23 172
1.7%
22 165
1.7%
21 195
1.9%
20 152
1.5%
19 204
2.0%
18 146
1.5%
17 166
1.7%
16 187
1.9%
15 348
3.5%

일련번호
Real number (ℝ)

HIGH CORRELATION 

Distinct4800
Distinct (%)48.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2450.4871
Minimum1
Maximum5358
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T08:00:16.855299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile243
Q11215
median2410
Q33611
95-th percentile4947
Maximum5358
Range5357
Interquartile range (IQR)2396

Descriptive statistics

Standard deviation1459.1572
Coefficient of variation (CV)0.595456
Kurtosis-1.0402268
Mean2450.4871
Median Absolute Deviation (MAD)1198.5
Skewness0.14466802
Sum24504871
Variance2129139.8
MonotonicityNot monotonic
2023-12-13T08:00:17.359557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3492 5
 
0.1%
741 5
 
0.1%
1268 5
 
0.1%
3491 5
 
0.1%
3736 5
 
0.1%
3729 5
 
0.1%
2477 5
 
0.1%
1621 5
 
0.1%
287 5
 
0.1%
1485 5
 
0.1%
Other values (4790) 9950
99.5%
ValueCountFrequency (%)
1 1
 
< 0.1%
2 4
< 0.1%
3 1
 
< 0.1%
4 1
 
< 0.1%
5 3
< 0.1%
6 1
 
< 0.1%
7 3
< 0.1%
8 3
< 0.1%
9 1
 
< 0.1%
10 3
< 0.1%
ValueCountFrequency (%)
5358 3
< 0.1%
5357 1
 
< 0.1%
5356 2
< 0.1%
5355 1
 
< 0.1%
5354 1
 
< 0.1%
5353 1
 
< 0.1%
5352 2
< 0.1%
5351 1
 
< 0.1%
5348 2
< 0.1%
5347 2
< 0.1%

과목명
Categorical

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
한약감정
1713 
한약의 생산 및 제조
1703 
한약조제
1680 
한약학의 기초
1660 
한약의 보관 및 유통
1655 
Other values (3)
1589 

Length

Max length11
Median length7
Mean length7.4299
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row한약의 보관 및 유통
2nd row한약학의 기초
3rd row한약학의 기초
4th row한약조제
5th row한약학의 기초

Common Values

ValueCountFrequency (%)
한약감정 1713
17.1%
한약의 생산 및 제조 1703
17.0%
한약조제 1680
16.8%
한약학의 기초 1660
16.6%
한약의 보관 및 유통 1655
16.6%
한약학 응용 552
 
5.5%
보건·의약 관계 법규 527
 
5.3%
한약학 기초 510
 
5.1%

Length

2023-12-13T08:00:17.508269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:00:17.617576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한약의 3358
14.1%
및 3358
14.1%
기초 2170
9.1%
한약감정 1713
7.2%
생산 1703
7.1%
제조 1703
7.1%
한약조제 1680
7.0%
한약학의 1660
7.0%
보관 1655
6.9%
유통 1655
6.9%
Other values (5) 3195
13.4%

과목별점수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct109
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.0662
Minimum0
Maximum109
Zeros1428
Zeros (%)14.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T08:00:17.770741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q116
median26
Q339
95-th percentile93
Maximum109
Range109
Interquartile range (IQR)23

Descriptive statistics

Standard deviation27.89614
Coefficient of variation (CV)0.84364518
Kurtosis0.10596141
Mean33.0662
Median Absolute Deviation (MAD)11
Skewness1.0227098
Sum330662
Variance778.19464
MonotonicityNot monotonic
2023-12-13T08:00:17.932843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1428
 
14.3%
18 272
 
2.7%
31 270
 
2.7%
29 260
 
2.6%
28 258
 
2.6%
24 257
 
2.6%
23 257
 
2.6%
30 256
 
2.6%
27 255
 
2.5%
26 255
 
2.5%
Other values (99) 6232
62.3%
ValueCountFrequency (%)
0 1428
14.3%
1 1
 
< 0.1%
3 11
 
0.1%
4 18
 
0.2%
5 41
 
0.4%
6 51
 
0.5%
7 55
 
0.5%
8 74
 
0.7%
9 78
 
0.8%
10 83
 
0.8%
ValueCountFrequency (%)
109 3
 
< 0.1%
108 5
 
0.1%
107 5
 
0.1%
106 12
 
0.1%
105 16
 
0.2%
104 21
0.2%
103 17
0.2%
102 22
0.2%
101 15
 
0.1%
100 42
0.4%

총점
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct184
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean146.8289
Minimum0
Maximum245
Zeros1423
Zeros (%)14.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T08:00:18.071361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1118
median169
Q3199
95-th percentile223
Maximum245
Range245
Interquartile range (IQR)81

Descriptive statistics

Standard deviation69.865359
Coefficient of variation (CV)0.47582839
Kurtosis0.07845918
Mean146.8289
Median Absolute Deviation (MAD)37
Skewness-1.080732
Sum1468289
Variance4881.1683
MonotonicityNot monotonic
2023-12-13T08:00:18.203516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1423
 
14.2%
208 123
 
1.2%
212 118
 
1.2%
205 117
 
1.2%
193 112
 
1.1%
202 110
 
1.1%
204 108
 
1.1%
206 107
 
1.1%
194 105
 
1.1%
176 105
 
1.1%
Other values (174) 7572
75.7%
ValueCountFrequency (%)
0 1423
14.2%
21 3
 
< 0.1%
55 1
 
< 0.1%
56 2
 
< 0.1%
57 4
 
< 0.1%
62 3
 
< 0.1%
63 2
 
< 0.1%
65 6
 
0.1%
66 1
 
< 0.1%
68 3
 
< 0.1%
ValueCountFrequency (%)
245 3
 
< 0.1%
241 14
0.1%
240 7
 
0.1%
239 9
0.1%
238 12
0.1%
237 9
0.1%
236 20
0.2%
235 11
0.1%
234 5
 
0.1%
233 14
0.1%

합격여부
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
합격
5631 
응시결격
2683 
불합격
1348 
결시
 
338

Length

Max length4
Median length2
Mean length2.6714
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
합격 5631
56.3%
응시결격 2683
26.8%
불합격 1348
 
13.5%
결시 338
 
3.4%

Length

2023-12-13T08:00:18.334685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:00:18.444066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
합격 5631
56.3%
응시결격 2683
26.8%
불합격 1348
 
13.5%
결시 338
 
3.4%

성별
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
남
5160 
여
4840 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
남 5160
51.6%
여 4840
48.4%

Length

2023-12-13T08:00:18.546000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:00:18.649090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남 5160
51.6%
여 4840
48.4%

연령대
Real number (ℝ)

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.475
Minimum20
Maximum70
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T08:00:18.733220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile20
Q120
median20
Q330
95-th percentile40
Maximum70
Range50
Interquartile range (IQR)10

Descriptive statistics

Standard deviation6.6429502
Coefficient of variation (CV)0.27141778
Kurtosis2.3561424
Mean24.475
Median Absolute Deviation (MAD)0
Skewness1.4929348
Sum244750
Variance44.128788
MonotonicityNot monotonic
2023-12-13T08:00:18.838356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
20 6364
63.6%
30 2911
29.1%
40 626
 
6.3%
50 86
 
0.9%
60 11
 
0.1%
70 2
 
< 0.1%
ValueCountFrequency (%)
20 6364
63.6%
30 2911
29.1%
40 626
 
6.3%
50 86
 
0.9%
60 11
 
0.1%
70 2
 
< 0.1%
ValueCountFrequency (%)
70 2
 
< 0.1%
60 11
 
0.1%
50 86
 
0.9%
40 626
 
6.3%
30 2911
29.1%
20 6364
63.6%

Interactions

2023-12-13T08:00:15.004746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:00:11.977875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:00:12.543409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:00:13.133926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:00:13.694280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:00:14.399360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:00:15.102776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:00:12.058235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:00:12.634652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:00:13.238233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:00:13.791806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:00:14.495204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:00:15.203836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:00:12.154924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:00:12.718711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:00:13.327380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:00:13.916590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:00:14.584755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:00:15.329688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:00:12.262249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:00:12.803878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:00:13.420567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:00:14.029079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:00:14.692863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:00:15.445690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:00:12.356389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:00:12.934366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:00:13.506585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:00:14.143522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:00:14.795858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:00:15.570459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:00:12.447076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:00:13.028307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:00:13.605554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:00:14.279489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:00:14.895388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T08:00:18.918424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연도회차일련번호과목명과목별점수총점합격여부성별연령대
연도1.0001.0000.9780.6150.5770.4560.6510.4170.312
회차1.0001.0000.9780.6150.5620.4470.6230.3960.305
일련번호0.9780.9781.0000.6110.5970.4930.7470.4830.320
과목명0.6150.6150.6111.0000.7050.1710.3450.0240.124
과목별점수0.5770.5620.5970.7051.0000.6870.6540.2470.134
총점0.4560.4470.4930.1710.6871.0000.7820.2090.192
합격여부0.6510.6230.7470.3450.6540.7821.0000.5550.288
성별0.4170.3960.4830.0240.2470.2090.5551.0000.454
연령대0.3120.3050.3200.1240.1340.1920.2880.4541.000
2023-12-13T08:00:19.031706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
합격여부과목명성별
합격여부1.0000.1600.380
과목명0.1601.0000.018
성별0.3800.0181.000
2023-12-13T08:00:19.137720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연도회차일련번호과목별점수총점연령대과목명합격여부성별
연도1.0001.0000.9810.4120.5040.1670.3520.4250.304
회차1.0001.0000.9810.4120.5040.1670.3520.4250.304
일련번호0.9810.9811.0000.3900.4750.1450.3480.5550.372
과목별점수0.4120.4120.3901.0000.6060.0460.4350.4550.189
총점0.5040.5040.4750.6061.0000.0940.0840.6370.209
연령대0.1670.1670.1450.0460.0941.0000.0690.1890.328
과목명0.3520.3520.3480.4350.0840.0691.0000.1600.018
합격여부0.4250.4250.5550.4550.6370.1890.1601.0000.380
성별0.3040.3040.3720.1890.2090.3280.0180.3801.000

Missing values

2023-12-13T08:00:15.726946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T08:00:15.892379image/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
135772006한약사72716한약의 보관 및 유통16151합격여30
57412001한약사21149한약학의 기초24132응시결격여20
1162000한약사124한약학의 기초18125불합격남20
26942001한약사2539한약조제70137불합격남30
161262009한약사103226한약학의 기초00결시남20
85422001한약사21709한약의 보관 및 유통6131응시결격여20
126952005한약사62540한약의 생산 및 제조1190불합격여40
230062021한약사224962한약학 기초80160합격여20
143472007한약사82870한약의 보관 및 유통19209합격남40
211682017한약사184349한약학 응용88211합격여30
연도직종회차일련번호과목명과목별점수총점합격여부성별연령대
211652017한약사184348한약학 응용75199합격남20
13482001한약사2270한약감정21183합격여30
211062016한약사174329보건·의약 관계 법규19162합격여20
115692004한약사52314한약조제88193합격남30
180162012한약사133604한약학의 기초36199합격남30
41032001한약사2821한약감정23180응시결격여20
17142001한약사2343한약조제66149불합격남30
176572011한약사123532한약의 보관 및 유통20198합격남30
189532013한약사143791한약감정30182합격여30
43192001한약사2864한약조제00응시결격여20