Overview

Dataset statistics

Number of variables11
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory957.0 KiB
Average record size in memory98.0 B

Variable types

Numeric1
DateTime1
Categorical9

Dataset

Description한국승강기안전공단에서는 승강기 관련 종합정보전산망을 구축하여 승강기에 대한 종합정보와 사고 등의 각종 이력관리 및 승강기관련 각종 통계자료를 제공하고 있습니다.
Author한국승강기안전공단
URLhttps://www.data.go.kr/data/15112639/fileData.do

Alerts

검사당시승강기구분 is highly overall correlated with 검사당시승강기형식 and 2 other fieldsHigh correlation
설치수시구분 is highly overall correlated with 검사종류High correlation
검사종류 is highly overall correlated with 검사결과 and 1 other fieldsHigh correlation
검사차수 is highly overall correlated with 검사결과High correlation
검사결과 is highly overall correlated with 검사종류 and 1 other fieldsHigh correlation
검사당시승강기종류 is highly overall correlated with 검사당시승강기구분 and 2 other fieldsHigh correlation
검사결과이력조회코드 is highly overall correlated with 검사기관High correlation
검사기관 is highly overall correlated with 검사결과이력조회코드High correlation
검사당시승강기형식 is highly overall correlated with 검사당시승강기구분 and 2 other fieldsHigh correlation
승강기세부형식 is highly overall correlated with 검사당시승강기구분 and 2 other fieldsHigh correlation
검사종류 is highly imbalanced (51.4%)Imbalance
검사당시승강기구분 is highly imbalanced (81.1%)Imbalance
검사당시승강기형식 is highly imbalanced (79.8%)Imbalance
승강기세부형식 is highly imbalanced (76.8%)Imbalance
설치수시구분 is highly imbalanced (80.9%)Imbalance

Reproduction

Analysis started2024-03-14 17:48:15.279947
Analysis finished2024-03-14 17:48:18.451482
Duration3.17 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

검사결과이력조회코드
Real number (ℝ)

HIGH CORRELATION 

Distinct9684
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13246987
Minimum10000030
Maximum15100060
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-15T02:48:18.698785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10000030
5-th percentile11000983
Q113005679
median13515076
Q313807819
95-th percentile15002890
Maximum15100060
Range5100030
Interquartile range (IQR)802139.75

Descriptive statistics

Standard deviation1091800.8
Coefficient of variation (CV)0.082418805
Kurtosis1.7770401
Mean13246987
Median Absolute Deviation (MAD)385373
Skewness-1.2748681
Sum1.3246987 × 1011
Variance1.192029 × 1012
MonotonicityNot monotonic
2024-03-15T02:48:19.206386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13604132 2
 
< 0.1%
13502167 2
 
< 0.1%
15009640 2
 
< 0.1%
12103013 2
 
< 0.1%
13700937 2
 
< 0.1%
13509142 2
 
< 0.1%
13602067 2
 
< 0.1%
13101853 2
 
< 0.1%
13604529 2
 
< 0.1%
13204075 2
 
< 0.1%
Other values (9674) 9980
99.8%
ValueCountFrequency (%)
10000030 1
< 0.1%
10000034 1
< 0.1%
10000037 2
< 0.1%
10000087 1
< 0.1%
10000124 1
< 0.1%
10000125 1
< 0.1%
10000140 2
< 0.1%
10000143 1
< 0.1%
10000151 1
< 0.1%
10000153 1
< 0.1%
ValueCountFrequency (%)
15100060 1
< 0.1%
15010734 1
< 0.1%
15010733 1
< 0.1%
15010715 1
< 0.1%
15010709 1
< 0.1%
15010700 1
< 0.1%
15010696 1
< 0.1%
15010694 1
< 0.1%
15010693 1
< 0.1%
15010677 1
< 0.1%

검사일자
Date

Distinct134
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2023-07-03 00:00:00
Maximum2023-12-30 00:00:00
2024-03-15T02:48:19.641353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:48:20.119735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

검사종류
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
정기
7997 
정밀
1316 
설치
 
452
수시
 
235

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row정밀
2nd row정기
3rd row정기
4th row정밀
5th row정기

Common Values

ValueCountFrequency (%)
정기 7997
80.0%
정밀 1316
 
13.2%
설치 452
 
4.5%
수시 235
 
2.4%

Length

2024-03-15T02:48:20.830501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T02:48:21.183599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정기 7997
80.0%
정밀 1316
 
13.2%
설치 452
 
4.5%
수시 235
 
2.4%

검사차수
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
7067 
2
2933 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row2
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 7067
70.7%
2 2933
29.3%

Length

2024-03-15T02:48:21.554317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T02:48:21.936736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 7067
70.7%
2 2933
29.3%

검사결과
Categorical

HIGH CORRELATION 

Distinct17
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
합격
3355 
조건후합격
2767 
조건부합격(1개월/서류검사)
1769 
조건부합격(2개월/서류검사)
838 
조건부합격(현장시정조치)
751 
Other values (12)
520 

Length

Max length18
Median length15
Mean length7.382
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
합격 3355
33.6%
조건후합격 2767
27.7%
조건부합격(1개월/서류검사) 1769
17.7%
조건부합격(2개월/서류검사) 838
 
8.4%
조건부합격(현장시정조치) 751
 
7.5%
보완(현장검사) 109
 
1.1%
보완후합격 99
 
1.0%
조건부합격(2개월/현장검사) 95
 
0.9%
불합격 86
 
0.9%
조건부합격(1개월/현장검사) 54
 
0.5%
Other values (7) 77
 
0.8%

Length

2024-03-15T02:48:22.141307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
합격 3355
33.6%
조건후합격 2767
27.7%
조건부합격(1개월/서류검사 1769
17.7%
조건부합격(2개월/서류검사 838
 
8.4%
조건부합격(현장시정조치 751
 
7.5%
보완(현장검사 109
 
1.1%
보완후합격 99
 
1.0%
조건부합격(2개월/현장검사 95
 
0.9%
불합격 86
 
0.9%
조건부합격(1개월/현장검사 54
 
0.5%
Other values (7) 77
 
0.8%

검사기관
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
한국승강기안전공단 서울강동지사
1592 
한국승강기안전공단 서울북부지사
1412 
한국승강기안전공단 서울동부지사
1221 
한국승강기안전공단 서울서부지사
1208 
(재)승강기안전기술연구원 서울지원
1104 
Other values (5)
3463 

Length

Max length18
Median length16
Mean length16.257
Min length16

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row한국승강기안전공단 서울동부지사
2nd row(재)승강기기술진흥원 서울본사
3rd row한국승강기안전공단 서울북부지사
4th row한국승강기안전공단 서울북부지사
5th row한국승강기안전공단 서울강동지사

Common Values

ValueCountFrequency (%)
한국승강기안전공단 서울강동지사 1592
15.9%
한국승강기안전공단 서울북부지사 1412
14.1%
한국승강기안전공단 서울동부지사 1221
12.2%
한국승강기안전공단 서울서부지사 1208
12.1%
(재)승강기안전기술연구원 서울지원 1104
11.0%
한국승강기안전공단 서울강남지사 1018
10.2%
(재)승강기기술진흥원 서울본사 979
9.8%
한국승강기안전공단 서울서초지사 833
8.3%
한국승강기안전공단 서울남서지사 452
 
4.5%
(재)한국승강기안전진흥원 서울지원 181
 
1.8%

Length

2024-03-15T02:48:22.389328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T02:48:22.707923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한국승강기안전공단 7736
38.7%
서울강동지사 1592
 
8.0%
서울북부지사 1412
 
7.1%
서울지원 1285
 
6.4%
서울동부지사 1221
 
6.1%
서울서부지사 1208
 
6.0%
재)승강기안전기술연구원 1104
 
5.5%
서울강남지사 1018
 
5.1%
재)승강기기술진흥원 979
 
4.9%
서울본사 979
 
4.9%
Other values (3) 1466
 
7.3%

검사당시승강기구분
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
엘리베이터
9175 
에스컬레이터
 
688
무빙워크
 
57
휠체어리프트
 
43
소형화물용엘리베이터
 
33

Length

Max length10
Median length5
Mean length5.0851
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row엘리베이터
2nd row엘리베이터
3rd row엘리베이터
4th row무빙워크
5th row엘리베이터

Common Values

ValueCountFrequency (%)
엘리베이터 9175
91.8%
에스컬레이터 688
 
6.9%
무빙워크 57
 
0.6%
휠체어리프트 43
 
0.4%
소형화물용엘리베이터 33
 
0.3%
주택형엘리베이터 4
 
< 0.1%

Length

2024-03-15T02:48:23.130784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T02:48:23.320044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
엘리베이터 9175
91.8%
에스컬레이터 688
 
6.9%
무빙워크 57
 
0.6%
휠체어리프트 43
 
0.4%
소형화물용엘리베이터 33
 
0.3%
주택형엘리베이터 4
 
< 0.1%

검사당시승강기형식
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
권상식
8913 
스텝식
 
688
유압식
 
320
팔레트식
 
55
가이드로프식
 
10
Other values (4)
 
14

Length

Max length7
Median length3
Mean length3.0123
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row권상식
2nd row권상식
3rd row권상식
4th row팔레트식
5th row권상식

Common Values

ValueCountFrequency (%)
권상식 8913
89.1%
스텝식 688
 
6.9%
유압식 320
 
3.2%
팔레트식 55
 
0.5%
가이드로프식 10
 
0.1%
스크류-너트식 7
 
0.1%
포지티브식 3
 
< 0.1%
마찰견인식 2
 
< 0.1%
벨트식 2
 
< 0.1%

Length

2024-03-15T02:48:23.629743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T02:48:24.003777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
권상식 8913
89.1%
스텝식 688
 
6.9%
유압식 320
 
3.2%
팔레트식 55
 
0.5%
가이드로프식 10
 
0.1%
스크류-너트식 7
 
0.1%
포지티브식 3
 
< 0.1%
마찰견인식 2
 
< 0.1%
벨트식 2
 
< 0.1%

승강기세부형식
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
VVVF
8847 
<NA>
 
745
교류
 
363
수직형LIFT(4m이하)
 
29
경사형LIFT
 
12
Other values (2)
 
4

Length

Max length13
Median length4
Mean length3.9589
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowVVVF
2nd rowVVVF
3rd rowVVVF
4th row<NA>
5th rowVVVF

Common Values

ValueCountFrequency (%)
VVVF 8847
88.5%
<NA> 745
 
7.4%
교류 363
 
3.6%
수직형LIFT(4m이하) 29
 
0.3%
경사형LIFT 12
 
0.1%
수직형LIFT(4m초과) 2
 
< 0.1%
직류기어 2
 
< 0.1%

Length

2024-03-15T02:48:24.316465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T02:48:24.518095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
vvvf 8847
88.5%
na 745
 
7.4%
교류 363
 
3.6%
수직형lift(4m이하 29
 
0.3%
경사형lift 12
 
0.1%
수직형lift(4m초과 2
 
< 0.1%
직류기어 2
 
< 0.1%

검사당시승강기종류
Categorical

HIGH CORRELATION 

Distinct24
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
승객용
4272 
장애인용
2279 
소방구조/장애인용
1304 
에스컬레이터
688 
소방구조용
458 
Other values (19)
999 

Length

Max length12
Median length10
Mean length4.5737
Min length3

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row승객용
2nd row장애인용
3rd row승객용
4th row무빙워크
5th row장애인용

Common Values

ValueCountFrequency (%)
승객용 4272
42.7%
장애인용 2279
22.8%
소방구조/장애인용 1304
 
13.0%
에스컬레이터 688
 
6.9%
소방구조용 458
 
4.6%
자동차용 290
 
2.9%
장애/전망용 142
 
1.4%
소방구조/장애/승객화물 104
 
1.0%
전망용 92
 
0.9%
장애/승객화물용 74
 
0.7%
Other values (14) 297
 
3.0%

Length

2024-03-15T02:48:24.734321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
승객용 4272
42.7%
장애인용 2279
22.8%
소방구조/장애인용 1304
 
13.0%
에스컬레이터 688
 
6.9%
소방구조용 458
 
4.6%
자동차용 290
 
2.9%
장애/전망용 142
 
1.4%
소방구조/장애/승객화물 104
 
1.0%
전망용 92
 
0.9%
장애/승객화물용 74
 
0.7%
Other values (14) 297
 
3.0%

설치수시구분
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9313 
신규설치
 
271
교체설치
 
181
용도변경
 
130
부분교체
 
101

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 9313
93.1%
신규설치 271
 
2.7%
교체설치 181
 
1.8%
용도변경 130
 
1.3%
부분교체 101
 
1.0%
민원요청 4
 
< 0.1%

Length

2024-03-15T02:48:24.931286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T02:48:25.172805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9313
93.1%
신규설치 271
 
2.7%
교체설치 181
 
1.8%
용도변경 130
 
1.3%
부분교체 101
 
1.0%
민원요청 4
 
< 0.1%

Interactions

2024-03-15T02:48:17.036748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T02:48:25.407059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
검사결과이력조회코드검사종류검사차수검사결과검사기관검사당시승강기구분검사당시승강기형식승강기세부형식검사당시승강기종류설치수시구분
검사결과이력조회코드1.0000.1000.0440.1500.8170.1410.1530.0610.2150.404
검사종류0.1001.0000.0640.7490.2850.0820.1540.1600.3061.000
검사차수0.0440.0641.0001.0000.0700.0490.0400.0720.1020.154
검사결과0.1500.7491.0001.0000.3000.3330.0760.0980.3780.701
검사기관0.8170.2850.0700.3001.0000.0950.1170.0880.2480.329
검사당시승강기구분0.1410.0820.0490.3330.0951.0000.8980.7521.0000.194
검사당시승강기형식0.1530.1540.0400.0760.1170.8981.0000.9380.9310.252
승강기세부형식0.0610.1600.0720.0980.0880.7520.9381.0000.9180.010
검사당시승강기종류0.2150.3060.1020.3780.2481.0000.9310.9181.0000.711
설치수시구분0.4041.0000.1540.7010.3290.1940.2520.0100.7111.000
2024-03-15T02:48:25.648478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
검사당시승강기구분설치수시구분검사기관검사종류검사차수검사당시승강기형식검사결과검사당시승강기종류승강기세부형식
검사당시승강기구분1.0000.1590.0500.0530.0360.7040.1630.9990.590
설치수시구분0.1591.0000.2170.9980.1880.1960.4810.4570.007
검사기관0.0500.2171.0000.1740.0540.0530.1210.0930.046
검사종류0.0530.9980.1741.0000.0430.0990.5260.1490.103
검사차수0.0360.1880.0540.0431.0000.0400.9990.0810.051
검사당시승강기형식0.7040.1960.0530.0990.0401.0000.0300.7050.637
검사결과0.1630.4810.1210.5260.9990.0301.0000.1190.047
검사당시승강기종류0.9990.4570.0930.1490.0810.7050.1191.0000.730
승강기세부형식0.5900.0070.0460.1030.0510.6370.0470.7301.000
2024-03-15T02:48:25.923971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
검사결과이력조회코드검사종류검사차수검사결과검사기관검사당시승강기구분검사당시승강기형식승강기세부형식검사당시승강기종류설치수시구분
검사결과이력조회코드1.0000.0640.0440.0600.5530.0700.0490.0300.0830.246
검사종류0.0641.0000.0430.5260.1740.0530.0990.1030.1490.998
검사차수0.0440.0431.0000.9990.0540.0360.0400.0510.0810.188
검사결과0.0600.5260.9991.0000.1210.1630.0300.0470.1190.481
검사기관0.5530.1740.0540.1211.0000.0500.0530.0460.0930.217
검사당시승강기구분0.0700.0530.0360.1630.0501.0000.7040.5900.9990.159
검사당시승강기형식0.0490.0990.0400.0300.0530.7041.0000.6370.7050.196
승강기세부형식0.0300.1030.0510.0470.0460.5900.6371.0000.7300.007
검사당시승강기종류0.0830.1490.0810.1190.0930.9990.7050.7301.0000.457
설치수시구분0.2460.9980.1880.4810.2170.1590.1960.0070.4571.000

Missing values

2024-03-15T02:48:17.418852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T02:48:17.879132image/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

검사결과이력조회코드검사일자검사종류검사차수검사결과검사기관검사당시승강기구분검사당시승강기형식승강기세부형식검사당시승강기종류설치수시구분
21295130022012023-10-12정밀1합격한국승강기안전공단 서울동부지사엘리베이터권상식VVVF승객용<NA>
27035131055752023-12-07정기1합격(재)승강기기술진흥원 서울본사엘리베이터권상식VVVF장애인용<NA>
72359139001342023-10-31정기2조건후합격한국승강기안전공단 서울북부지사엘리베이터권상식VVVF승객용<NA>
75005139041762023-08-25정밀1합격한국승강기안전공단 서울북부지사무빙워크팔레트식<NA>무빙워크<NA>
84575143038272023-09-07정기1합격한국승강기안전공단 서울강동지사엘리베이터권상식VVVF장애인용<NA>
84100143029832023-07-28정기1합격한국승강기안전공단 서울강동지사엘리베이터권상식VVVF승객용<NA>
14302121064212023-12-14정기1합격한국승강기안전공단 서울서부지사엘리베이터권상식VVVF장애인용<NA>
67796138061482023-10-04정밀1합격한국승강기안전공단 서울강동지사엘리베이터권상식VVVF장애인용<NA>
79157140071442023-09-01정기1합격한국승강기안전공단 서울서부지사엘리베이터권상식VVVF승객용<NA>
80590142011812023-11-22정밀1조건부합격(1개월/서류검사)한국승강기안전공단 서울북부지사엘리베이터권상식VVVF장애인용<NA>
검사결과이력조회코드검사일자검사종류검사차수검사결과검사기관검사당시승강기구분검사당시승강기형식승강기세부형식검사당시승강기종류설치수시구분
48491135200862023-07-21정기1조건부합격(1개월/서류검사)한국승강기안전공단 서울강남지사엘리베이터권상식VVVF승객용<NA>
25995131040672023-09-08정기2조건후합격한국승강기안전공단 서울동부지사엘리베이터권상식VVVF승객용<NA>
81443142024962023-12-21정기1합격(재)승강기안전기술연구원 서울지원엘리베이터권상식VVVF승객용<NA>
83687143023862023-11-02정기1조건부합격(2개월/서류검사)한국승강기안전공단 서울강동지사엘리베이터권상식VVVF소방구조/장애인용<NA>
32012133033942023-11-14정기1조건부합격(1개월/서류검사)한국승강기안전공단 서울동부지사엘리베이터권상식VVVF장애인용<NA>
39788135025202023-08-02정기1합격한국승강기안전공단 서울강남지사엘리베이터권상식VVVF전망용<NA>
71772138129162023-11-15정기1합격(재)승강기기술진흥원 서울본사엘리베이터권상식VVVF승객용<NA>
51498136016402023-07-21정기1조건부합격(2개월/서류검사)한국승강기안전공단 서울북부지사엘리베이터권상식VVVF소방구조/장애인용<NA>
261100010652023-11-15정기1합격한국승강기안전공단 서울동부지사엘리베이터권상식VVVF승객용<NA>
59314137083102023-10-18정밀2조건후합격한국승강기안전공단 서울서초지사엘리베이터권상식VVVF소방구조/장애인용<NA>