Overview

Dataset statistics

Number of variables32
Number of observations134
Missing cells2541
Missing cells (%)59.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory36.5 KiB
Average record size in memory279.0 B

Variable types

Categorical5
Text5
DateTime1
Unsupported15
Numeric6

Dataset

Description승강기제조 및 수입업체 현황
Author행정안전부
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=8MHGE3K3CSUSBFX2G4MM14032562&infSeq=1

Alerts

관리구분정보 is highly imbalanced (56.9%)Imbalance
인허가취소일자 has 134 (100.0%) missing valuesMissing
소재지시설전화번호 has 100 (74.6%) missing valuesMissing
소재지면적정보 has 134 (100.0%) missing valuesMissing
도로명우편번호 has 100 (74.6%) missing valuesMissing
WGS84위도 has 6 (4.5%) missing valuesMissing
WGS84경도 has 6 (4.5%) missing valuesMissing
업태구분명정보 has 134 (100.0%) missing valuesMissing
X좌표값 has 102 (76.1%) missing valuesMissing
Y좌표값 has 102 (76.1%) missing valuesMissing
자산금 has 134 (100.0%) missing valuesMissing
보수범위정보 has 134 (100.0%) missing valuesMissing
관리책임인력수 has 134 (100.0%) missing valuesMissing
기술인력수 has 134 (100.0%) missing valuesMissing
설계책임기술인력수 has 134 (100.0%) missing valuesMissing
제조책임기술인력수 has 134 (100.0%) missing valuesMissing
임원수 has 134 (100.0%) missing valuesMissing
총직원수 has 114 (85.1%) missing valuesMissing
기술직직원수 has 134 (100.0%) missing valuesMissing
기능직직원수 has 134 (100.0%) missing valuesMissing
사무직직원수 has 134 (100.0%) missing valuesMissing
기타직원수 has 134 (100.0%) missing valuesMissing
회사구분명 has 134 (100.0%) missing valuesMissing
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적정보 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명정보 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자산금 is an unsupported type, check if it needs cleaning or further analysisUnsupported
보수범위정보 is an unsupported type, check if it needs cleaning or further analysisUnsupported
관리책임인력수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기술인력수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
설계책임기술인력수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제조책임기술인력수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
임원수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기술직직원수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기능직직원수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
사무직직원수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기타직원수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
회사구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-10 21:19:57.667784
Analysis finished2023-12-10 21:19:58.105742
Duration0.44 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

Distinct22
Distinct (%)16.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
김포시
32 
시흥시
17 
화성시
17 
안양시
9 
부천시
9 
Other values (17)
50 

Length

Max length4
Median length3
Mean length3.0373134
Min length3

Unique

Unique7 ?
Unique (%)5.2%

Sample

1st row고양시
2nd row고양시
3rd row고양시
4th row광명시
5th row광명시

Common Values

ValueCountFrequency (%)
김포시 32
23.9%
시흥시 17
12.7%
화성시 17
12.7%
안양시 9
 
6.7%
부천시 9
 
6.7%
파주시 8
 
6.0%
수원시 7
 
5.2%
군포시 4
 
3.0%
남양주시 4
 
3.0%
성남시 4
 
3.0%
Other values (12) 23
17.2%

Length

2023-12-11T06:19:58.157644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
김포시 32
23.9%
화성시 17
12.7%
시흥시 17
12.7%
안양시 9
 
6.7%
부천시 9
 
6.7%
파주시 8
 
6.0%
수원시 7
 
5.2%
군포시 4
 
3.0%
남양주시 4
 
3.0%
성남시 4
 
3.0%
Other values (12) 23
17.2%

사업장명
Text

Distinct119
Distinct (%)88.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-11T06:19:58.367128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length14
Mean length8.8208955
Min length3

Characters and Unicode

Total characters1182
Distinct characters145
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique105 ?
Unique (%)78.4%

Sample

1st row(주)서강엘리베이터
2nd row(주)삼정엘텍
3rd row케이이앤씨(주)
4th row(주)반도엘리베이터
5th row(주)한테크
ValueCountFrequency (%)
주식회사 5
 
3.4%
주)대원엘리베이터 3
 
2.1%
주 3
 
2.1%
주)이런이엘에스 2
 
1.4%
주)새한엘리베이터 2
 
1.4%
주)고려에레베이터 2
 
1.4%
신원기전(주 2
 
1.4%
주)광진엔지니어링 2
 
1.4%
주)한울테크 2
 
1.4%
㈜몬트코리아 2
 
1.4%
Other values (113) 120
82.8%
2023-12-11T06:19:58.692295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 120
 
10.2%
( 113
 
9.6%
) 113
 
9.6%
이 83
 
7.0%
리 62
 
5.2%
엘 61
 
5.2%
베 54
 
4.6%
터 54
 
4.6%
한 20
 
1.7%
스 16
 
1.4%
Other values (135) 486
41.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 932
78.8%
Open Punctuation 113
 
9.6%
Close Punctuation 113
 
9.6%
Space Separator 12
 
1.0%
Other Symbol 6
 
0.5%
Uppercase Letter 6
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 120
 
12.9%
이 83
 
8.9%
리 62
 
6.7%
엘 61
 
6.5%
베 54
 
5.8%
터 54
 
5.8%
한 20
 
2.1%
스 16
 
1.7%
신 14
 
1.5%
기 14
 
1.5%
Other values (125) 434
46.6%
Uppercase Letter
ValueCountFrequency (%)
K 1
16.7%
R 1
16.7%
T 1
16.7%
E 1
16.7%
C 1
16.7%
H 1
16.7%
Open Punctuation
ValueCountFrequency (%)
( 113
100.0%
Close Punctuation
ValueCountFrequency (%)
) 113
100.0%
Space Separator
ValueCountFrequency (%)
12
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 938
79.4%
Common 238
 
20.1%
Latin 6
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 120
 
12.8%
이 83
 
8.8%
리 62
 
6.6%
엘 61
 
6.5%
베 54
 
5.8%
터 54
 
5.8%
한 20
 
2.1%
스 16
 
1.7%
신 14
 
1.5%
기 14
 
1.5%
Other values (126) 440
46.9%
Latin
ValueCountFrequency (%)
K 1
16.7%
R 1
16.7%
T 1
16.7%
E 1
16.7%
C 1
16.7%
H 1
16.7%
Common
ValueCountFrequency (%)
( 113
47.5%
) 113
47.5%
12
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 932
78.8%
ASCII 244
 
20.6%
None 6
 
0.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 120
 
12.9%
이 83
 
8.9%
리 62
 
6.7%
엘 61
 
6.5%
베 54
 
5.8%
터 54
 
5.8%
한 20
 
2.1%
스 16
 
1.7%
신 14
 
1.5%
기 14
 
1.5%
Other values (125) 434
46.6%
ASCII
ValueCountFrequency (%)
( 113
46.3%
) 113
46.3%
12
 
4.9%
K 1
 
0.4%
R 1
 
0.4%
T 1
 
0.4%
E 1
 
0.4%
C 1
 
0.4%
H 1
 
0.4%
None
ValueCountFrequency (%)
㈜ 6
100.0%

인허가일자
Date

Distinct79
Distinct (%)59.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum2013-08-13 00:00:00
Maximum2023-06-30 00:00:00
2023-12-11T06:19:58.811046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:19:59.129250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing134
Missing (%)100.0%
Memory size1.3 KiB

영업상태구분코드
Categorical

Distinct3
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
100 
1
32 
4
 
2

Length

Max length4
Median length4
Mean length3.238806
Min length1

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> 100
74.6%
1 32
 
23.9%
4 2
 
1.5%

Length

2023-12-11T06:19:59.234886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:19:59.324267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 100
74.6%
1 32
 
23.9%
4 2
 
1.5%

영업상태명
Categorical

Distinct3
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
운영중
100 
인허가
32 
사업재개
 
2

Length

Max length4
Median length3
Mean length3.0149254
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
운영중 100
74.6%
인허가 32
 
23.9%
사업재개 2
 
1.5%

Length

2023-12-11T06:19:59.432649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:19:59.539893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영중 100
74.6%
인허가 32
 
23.9%
사업재개 2
 
1.5%

소재지시설전화번호
Real number (ℝ)

MISSING 

Distinct34
Distinct (%)100.0%
Missing100
Missing (%)74.6%
Infinite0
Infinite (%)0.0%
Mean3.887961 × 108
Minimum25674330
Maximum3.1156665 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-11T06:19:59.648736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum25674330
5-th percentile2.8504292 × 108
Q13.1409714 × 108
median3.1685878 × 108
Q33.1984023 × 108
95-th percentile3.272881 × 108
Maximum3.1156665 × 109
Range3.0899922 × 109
Interquartile range (IQR)5743089.5

Descriptive statistics

Standard deviation4.8459423 × 108
Coefficient of variation (CV)1.2463968
Kurtosis33.166411
Mean3.887961 × 108
Median Absolute Deviation (MAD)2976532.5
Skewness5.719065
Sum1.3219067 × 1010
Variance2.3483157 × 1017
MonotonicityNot monotonic
2023-12-11T06:19:59.788887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
319538951 1
 
0.7%
314999321 1
 
0.7%
316735544 1
 
0.7%
314205535 1
 
0.7%
314227042 1
 
0.7%
313458181 1
 
0.7%
318581800 1
 
0.7%
319454198 1
 
0.7%
314315608 1
 
0.7%
25674330 1
 
0.7%
Other values (24) 24
 
17.9%
(Missing) 100
74.6%
ValueCountFrequency (%)
25674330 1
0.7%
234702512 1
0.7%
312149287 1
0.7%
313190277 1
0.7%
313458181 1
0.7%
313544610 1
0.7%
313548611 1
0.7%
314042531 1
0.7%
314061011 1
0.7%
314205535 1
0.7%
ValueCountFrequency (%)
3115666536 1
0.7%
328113310 1
0.7%
326843755 1
0.7%
326783250 1
0.7%
319981924 1
0.7%
319888873 1
0.7%
319882767 1
0.7%
319857365 1
0.7%
319841561 1
0.7%
319836243 1
0.7%

소재지면적정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing134
Missing (%)100.0%
Memory size1.3 KiB

도로명우편번호
Text

MISSING 

Distinct30
Distinct (%)88.2%
Missing100
Missing (%)74.6%
Memory size1.2 KiB
2023-12-11T06:19:59.956253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.1176471
Min length5

Characters and Unicode

Total characters174
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)76.5%

Sample

1st row12720
2nd row15847
3rd row15847
4th row10027
5th row10049
ValueCountFrequency (%)
14057 2
 
5.9%
15847 2
 
5.9%
10049 2
 
5.9%
15117 2
 
5.9%
15097 1
 
2.9%
10027 1
 
2.9%
14950 1
 
2.9%
445-931 1
 
2.9%
18545 1
 
2.9%
18511 1
 
2.9%
Other values (20) 20
58.8%
2023-12-11T06:20:00.254651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 45
25.9%
0 28
16.1%
4 24
13.8%
5 22
12.6%
7 13
 
7.5%
8 12
 
6.9%
2 9
 
5.2%
9 7
 
4.0%
3 7
 
4.0%
6 5
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 172
98.9%
Dash Punctuation 2
 
1.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 45
26.2%
0 28
16.3%
4 24
14.0%
5 22
12.8%
7 13
 
7.6%
8 12
 
7.0%
2 9
 
5.2%
9 7
 
4.1%
3 7
 
4.1%
6 5
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 174
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 45
25.9%
0 28
16.1%
4 24
13.8%
5 22
12.6%
7 13
 
7.5%
8 12
 
6.9%
2 9
 
5.2%
9 7
 
4.0%
3 7
 
4.0%
6 5
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 174
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 45
25.9%
0 28
16.1%
4 24
13.8%
5 22
12.6%
7 13
 
7.5%
8 12
 
6.9%
2 9
 
5.2%
9 7
 
4.0%
3 7
 
4.0%
6 5
 
2.9%

소재지도로명주소
Text

Distinct128
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-11T06:20:00.453920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length40
Mean length25.716418
Min length14

Characters and Unicode

Total characters3446
Distinct characters216
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique123 ?
Unique (%)91.8%

Sample

1st row경기도 고양시 덕양구 화신로260번길 (화정동)
2nd row경기도 고양시 일산동구 호수로 688, 코오롱레이크폴리스II 322호 (장항동)
3rd row경기도 고양시 일산서구 일산로 638 (대화동)
4th row경기도 광명시 벌말로 5-4 (가학동)
5th row경기도 광명시 광명로 775-22 (광명동)
ValueCountFrequency (%)
경기도 134
 
18.3%
김포시 32
 
4.4%
화성시 17
 
2.3%
시흥시 17
 
2.3%
대곶면 16
 
2.2%
동안구 9
 
1.2%
부천시 9
 
1.2%
안양시 9
 
1.2%
파주시 8
 
1.1%
수원시 7
 
1.0%
Other values (355) 474
64.8%
2023-12-11T06:20:00.808179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
598
 
17.4%
시 163
 
4.7%
도 140
 
4.1%
기 138
 
4.0%
경 136
 
3.9%
로 130
 
3.8%
1 111
 
3.2%
동 97
 
2.8%
2 79
 
2.3%
) 67
 
1.9%
Other values (206) 1787
51.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2006
58.2%
Decimal Number 607
 
17.6%
Space Separator 598
 
17.4%
Close Punctuation 67
 
1.9%
Open Punctuation 67
 
1.9%
Dash Punctuation 51
 
1.5%
Other Punctuation 38
 
1.1%
Uppercase Letter 11
 
0.3%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 163
 
8.1%
도 140
 
7.0%
기 138
 
6.9%
경 136
 
6.8%
로 130
 
6.5%
동 97
 
4.8%
대 49
 
2.4%
포 44
 
2.2%
면 44
 
2.2%
길 43
 
2.1%
Other values (180) 1022
50.9%
Decimal Number
ValueCountFrequency (%)
1 111
18.3%
2 79
13.0%
3 64
10.5%
0 59
9.7%
4 57
9.4%
7 57
9.4%
6 50
8.2%
5 48
7.9%
8 44
 
7.2%
9 38
 
6.3%
Uppercase Letter
ValueCountFrequency (%)
E 2
18.2%
I 2
18.2%
R 1
9.1%
T 1
9.1%
N 1
9.1%
C 1
9.1%
U 1
9.1%
H 1
9.1%
B 1
9.1%
Other Punctuation
ValueCountFrequency (%)
, 37
97.4%
. 1
 
2.6%
Space Separator
ValueCountFrequency (%)
598
100.0%
Close Punctuation
ValueCountFrequency (%)
) 67
100.0%
Open Punctuation
ValueCountFrequency (%)
( 67
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 51
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2006
58.2%
Common 1429
41.5%
Latin 11
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 163
 
8.1%
도 140
 
7.0%
기 138
 
6.9%
경 136
 
6.8%
로 130
 
6.5%
동 97
 
4.8%
대 49
 
2.4%
포 44
 
2.2%
면 44
 
2.2%
길 43
 
2.1%
Other values (180) 1022
50.9%
Common
ValueCountFrequency (%)
598
41.8%
1 111
 
7.8%
2 79
 
5.5%
) 67
 
4.7%
( 67
 
4.7%
3 64
 
4.5%
0 59
 
4.1%
4 57
 
4.0%
7 57
 
4.0%
- 51
 
3.6%
Other values (7) 219
 
15.3%
Latin
ValueCountFrequency (%)
E 2
18.2%
I 2
18.2%
R 1
9.1%
T 1
9.1%
N 1
9.1%
C 1
9.1%
U 1
9.1%
H 1
9.1%
B 1
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2006
58.2%
ASCII 1440
41.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
598
41.5%
1 111
 
7.7%
2 79
 
5.5%
) 67
 
4.7%
( 67
 
4.7%
3 64
 
4.4%
0 59
 
4.1%
4 57
 
4.0%
7 57
 
4.0%
- 51
 
3.5%
Other values (16) 230
 
16.0%
Hangul
ValueCountFrequency (%)
시 163
 
8.1%
도 140
 
7.0%
기 138
 
6.9%
경 136
 
6.8%
로 130
 
6.5%
동 97
 
4.8%
대 49
 
2.4%
포 44
 
2.2%
면 44
 
2.2%
길 43
 
2.1%
Other values (180) 1022
50.9%

소재지지번주소
Text

Distinct129
Distinct (%)97.0%
Missing1
Missing (%)0.7%
Memory size1.2 KiB
2023-12-11T06:20:01.055278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length36
Mean length23.909774
Min length16

Characters and Unicode

Total characters3180
Distinct characters181
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique126 ?
Unique (%)94.7%

Sample

1st row경기도 고양시 덕양구 화정동 979번지 2호
2nd row경기도 고양시 일산동구 장항동 749번지 코오롱레이크폴리스II
3rd row경기도 고양시 일산서구 대화동 2032번지 4호
4th row경기도 광명시 가학동 908번지 11호
5th row경기도 광명시 광명동 758번지 4호
ValueCountFrequency (%)
경기도 130
 
18.0%
김포시 32
 
4.4%
화성시 17
 
2.3%
대곶면 17
 
2.3%
시흥시 17
 
2.3%
4호 10
 
1.4%
정왕동 9
 
1.2%
파주시 8
 
1.1%
3호 8
 
1.1%
2호 8
 
1.1%
Other values (325) 468
64.6%
2023-12-11T06:20:01.462228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
625
19.7%
시 154
 
4.8%
도 134
 
4.2%
기 134
 
4.2%
경 133
 
4.2%
지 113
 
3.6%
1 112
 
3.5%
번 110
 
3.5%
호 91
 
2.9%
동 90
 
2.8%
Other values (171) 1484
46.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1921
60.4%
Space Separator 625
 
19.7%
Decimal Number 596
 
18.7%
Dash Punctuation 26
 
0.8%
Uppercase Letter 11
 
0.3%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 154
 
8.0%
도 134
 
7.0%
기 134
 
7.0%
경 133
 
6.9%
지 113
 
5.9%
번 110
 
5.7%
호 91
 
4.7%
동 90
 
4.7%
리 62
 
3.2%
면 48
 
2.5%
Other values (149) 852
44.4%
Decimal Number
ValueCountFrequency (%)
1 112
18.8%
2 80
13.4%
3 66
11.1%
5 55
9.2%
6 54
9.1%
4 50
8.4%
7 48
8.1%
9 46
7.7%
0 45
7.6%
8 40
 
6.7%
Uppercase Letter
ValueCountFrequency (%)
I 2
18.2%
E 2
18.2%
N 1
9.1%
R 1
9.1%
T 1
9.1%
C 1
9.1%
U 1
9.1%
H 1
9.1%
B 1
9.1%
Space Separator
ValueCountFrequency (%)
625
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1921
60.4%
Common 1248
39.2%
Latin 11
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 154
 
8.0%
도 134
 
7.0%
기 134
 
7.0%
경 133
 
6.9%
지 113
 
5.9%
번 110
 
5.7%
호 91
 
4.7%
동 90
 
4.7%
리 62
 
3.2%
면 48
 
2.5%
Other values (149) 852
44.4%
Common
ValueCountFrequency (%)
625
50.1%
1 112
 
9.0%
2 80
 
6.4%
3 66
 
5.3%
5 55
 
4.4%
6 54
 
4.3%
4 50
 
4.0%
7 48
 
3.8%
9 46
 
3.7%
0 45
 
3.6%
Other values (3) 67
 
5.4%
Latin
ValueCountFrequency (%)
I 2
18.2%
E 2
18.2%
N 1
9.1%
R 1
9.1%
T 1
9.1%
C 1
9.1%
U 1
9.1%
H 1
9.1%
B 1
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1921
60.4%
ASCII 1259
39.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
625
49.6%
1 112
 
8.9%
2 80
 
6.4%
3 66
 
5.2%
5 55
 
4.4%
6 54
 
4.3%
4 50
 
4.0%
7 48
 
3.8%
9 46
 
3.7%
0 45
 
3.6%
Other values (12) 78
 
6.2%
Hangul
ValueCountFrequency (%)
시 154
 
8.0%
도 134
 
7.0%
기 134
 
7.0%
경 133
 
6.9%
지 113
 
5.9%
번 110
 
5.7%
호 91
 
4.7%
동 90
 
4.7%
리 62
 
3.2%
면 48
 
2.5%
Other values (149) 852
44.4%

소재지우편번호
Text

Distinct115
Distinct (%)85.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-11T06:20:01.773248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length5.5820896
Min length5

Characters and Unicode

Total characters748
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique104 ?
Unique (%)77.6%

Sample

1st row10500
2nd row10364
3rd row10369
4th row423070
5th row423010
ValueCountFrequency (%)
415853 5
 
3.7%
10040 4
 
3.0%
429450 3
 
2.2%
14057 3
 
2.2%
415887 3
 
2.2%
10049 2
 
1.5%
15847 2
 
1.5%
10809 2
 
1.5%
12030 2
 
1.5%
445956 2
 
1.5%
Other values (105) 106
79.1%
2023-12-11T06:20:02.230905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 143
19.1%
1 129
17.2%
0 100
13.4%
5 87
11.6%
8 71
9.5%
2 60
8.0%
3 56
 
7.5%
9 42
 
5.6%
7 29
 
3.9%
6 29
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 746
99.7%
Dash Punctuation 2
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 143
19.2%
1 129
17.3%
0 100
13.4%
5 87
11.7%
8 71
9.5%
2 60
8.0%
3 56
 
7.5%
9 42
 
5.6%
7 29
 
3.9%
6 29
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 748
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 143
19.1%
1 129
17.2%
0 100
13.4%
5 87
11.6%
8 71
9.5%
2 60
8.0%
3 56
 
7.5%
9 42
 
5.6%
7 29
 
3.9%
6 29
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 748
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 143
19.1%
1 129
17.2%
0 100
13.4%
5 87
11.6%
8 71
9.5%
2 60
8.0%
3 56
 
7.5%
9 42
 
5.6%
7 29
 
3.9%
6 29
 
3.9%

WGS84위도
Real number (ℝ)

MISSING 

Distinct115
Distinct (%)89.8%
Missing6
Missing (%)4.5%
Infinite0
Infinite (%)0.0%
Mean37.473229
Minimum37.020163
Maximum37.969291
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-11T06:20:02.415280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.020163
5-th percentile37.103563
Q137.318686
median37.4344
Q337.658564
95-th percentile37.829701
Maximum37.969291
Range0.94912735
Interquartile range (IQR)0.33987824

Descriptive statistics

Standard deviation0.22775367
Coefficient of variation (CV)0.0060777702
Kurtosis-0.92710107
Mean37.473229
Median Absolute Deviation (MAD)0.19911562
Skewness-0.028364521
Sum4796.5733
Variance0.051871735
MonotonicityNot monotonic
2023-12-11T06:20:02.573373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.6571970764 3
 
2.2%
37.3964600397 3
 
2.2%
37.6922588498 3
 
2.2%
37.2549895453 2
 
1.5%
37.8073672191 2
 
1.5%
37.7101937407 2
 
1.5%
37.8979409648 2
 
1.5%
37.1643159035 2
 
1.5%
37.333591367 2
 
1.5%
37.1035633416 2
 
1.5%
Other values (105) 105
78.4%
(Missing) 6
 
4.5%
ValueCountFrequency (%)
37.0201632695 1
0.7%
37.0231404804 1
0.7%
37.0759775213 1
0.7%
37.0849755441 1
0.7%
37.0856465758 1
0.7%
37.0993434458 1
0.7%
37.1035633416 2
1.5%
37.1144450098 1
0.7%
37.1248760278 1
0.7%
37.1259568766 1
0.7%
ValueCountFrequency (%)
37.9692906204 1
0.7%
37.8983274367 1
0.7%
37.8979409648 2
1.5%
37.8650232002 1
0.7%
37.8545271998 1
0.7%
37.8311095223 1
0.7%
37.8270863694 1
0.7%
37.8073672191 2
1.5%
37.7566842637 1
0.7%
37.7467041852 1
0.7%

WGS84경도
Real number (ℝ)

MISSING 

Distinct115
Distinct (%)89.8%
Missing6
Missing (%)4.5%
Infinite0
Infinite (%)0.0%
Mean126.8416
Minimum126.54387
Maximum127.48068
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-11T06:20:02.731036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.54387
5-th percentile126.55996
Q1126.70413
median126.81115
Q3126.96834
95-th percentile127.29646
Maximum127.48068
Range0.93681815
Interquartile range (IQR)0.26420969

Descriptive statistics

Standard deviation0.21588172
Coefficient of variation (CV)0.0017019789
Kurtosis0.13742504
Mean126.8416
Median Absolute Deviation (MAD)0.15645922
Skewness0.69563839
Sum16235.724
Variance0.046604918
MonotonicityNot monotonic
2023-12-11T06:20:02.896211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.559956155 3
 
2.2%
126.9704126836 3
 
2.2%
127.3428252125 3
 
2.2%
127.0611666444 2
 
1.5%
126.898013566 2
 
1.5%
126.5520489482 2
 
1.5%
126.8379728413 2
 
1.5%
126.8093076757 2
 
1.5%
126.710512709 2
 
1.5%
126.9338683079 2
 
1.5%
Other values (105) 105
78.4%
(Missing) 6
 
4.5%
ValueCountFrequency (%)
126.5438653294 1
 
0.7%
126.546002037 1
 
0.7%
126.5486947219 1
 
0.7%
126.5520489482 2
1.5%
126.559956155 3
2.2%
126.5617362343 1
 
0.7%
126.5617430223 1
 
0.7%
126.5622701165 1
 
0.7%
126.5645896428 1
 
0.7%
126.5669868791 1
 
0.7%
ValueCountFrequency (%)
127.4806834787 1
 
0.7%
127.4032475699 1
 
0.7%
127.3428252125 3
2.2%
127.3304461827 1
 
0.7%
127.3274507379 1
 
0.7%
127.2388948314 1
 
0.7%
127.2241241157 1
 
0.7%
127.1936926063 1
 
0.7%
127.1591934176 1
 
0.7%
127.1377882163 1
 
0.7%

업태구분명정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing134
Missing (%)100.0%
Memory size1.3 KiB

X좌표값
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)96.9%
Missing102
Missing (%)76.1%
Infinite0
Infinite (%)0.0%
Mean190426.31
Minimum160429.94
Maximum235677.56
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-11T06:20:03.035041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum160429.94
5-th percentile161443.24
Q1174269
median188308.66
Q3205491.52
95-th percentile229429.41
Maximum235677.56
Range75247.628
Interquartile range (IQR)31222.515

Descriptive statistics

Standard deviation21281.458
Coefficient of variation (CV)0.11175692
Kurtosis-0.59693589
Mean190426.31
Median Absolute Deviation (MAD)14473.275
Skewness0.48382939
Sum6093641.8
Variance4.5290046 × 108
MonotonicityNot monotonic
2023-12-11T06:20:03.147347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
197266.864787155 2
 
1.5%
195854.262271359 1
 
0.7%
182995.579427956 1
 
0.7%
194046.234425293 1
 
0.7%
173411.531813552 1
 
0.7%
206811.316476276 1
 
0.7%
217044.982167915 1
 
0.7%
190941.616536595 1
 
0.7%
185675.699729451 1
 
0.7%
205912.285640543 1
 
0.7%
Other values (21) 21
 
15.7%
(Missing) 102
76.1%
ValueCountFrequency (%)
160429.936715311 1
0.7%
161109.504546345 1
0.7%
161716.29189113 1
0.7%
165299.267936671 1
0.7%
165306.189785333 1
0.7%
167168.862320978 1
0.7%
173411.531813552 1
0.7%
174259.234567841 1
0.7%
174272.261053694 1
0.7%
174558.909725753 1
0.7%
ValueCountFrequency (%)
235677.564464752 1
0.7%
230164.645258775 1
0.7%
228827.853403378 1
0.7%
221182.022900971 1
0.7%
217044.982167915 1
0.7%
208889.910918012 1
0.7%
206811.316476276 1
0.7%
205912.285640543 1
0.7%
205351.264064911 1
0.7%
197266.864787155 2
1.5%

Y좌표값
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)96.9%
Missing102
Missing (%)76.1%
Infinite0
Infinite (%)0.0%
Mean440301.88
Minimum390978.92
Maximum488396.78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-11T06:20:03.284163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum390978.92
5-th percentile403914.39
Q1424906.66
median433003.01
Q3461909.14
95-th percentile481179.25
Maximum488396.78
Range97417.859
Interquartile range (IQR)37002.477

Descriptive statistics

Standard deviation24904.911
Coefficient of variation (CV)0.056563263
Kurtosis-0.696427
Mean440301.88
Median Absolute Deviation (MAD)17582.039
Skewness0.12276537
Sum14089660
Variance6.2025459 × 108
MonotonicityNot monotonic
2023-12-11T06:20:03.441586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
432738.809250786 2
 
1.5%
428003.912148883 1
 
0.7%
406957.126294907 1
 
0.7%
400195.498321659 1
 
0.7%
414143.865052277 1
 
0.7%
408903.429437191 1
 
0.7%
449307.942535913 1
 
0.7%
478315.71574155 1
 
0.7%
488396.778671596 1
 
0.7%
484679.116820146 1
 
0.7%
Other values (21) 21
 
15.7%
(Missing) 102
76.1%
ValueCountFrequency (%)
390978.919336865 1
0.7%
400195.498321659 1
0.7%
406957.126294907 1
0.7%
408903.429437191 1
0.7%
414143.865052277 1
0.7%
417011.164557606 1
0.7%
423679.267007978 1
0.7%
424040.608642041 1
0.7%
425195.348090972 1
0.7%
425851.142603223 1
0.7%
ValueCountFrequency (%)
488396.778671596 1
0.7%
484679.116820146 1
0.7%
478315.71574155 1
0.7%
468613.124333893 1
0.7%
467607.305035934 1
0.7%
465586.173323643 1
0.7%
464217.944030712 1
0.7%
462414.30050707 1
0.7%
461740.752878003 1
0.7%
459940.881628046 1
0.7%

업종구분명정보
Categorical

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
100 
제조수입
34 

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> 100
74.6%
제조수입 34
 
25.4%

Length

2023-12-11T06:20:03.563828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:20:03.677448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 100
74.6%
제조수입 34
 
25.4%

관리구분정보
Categorical

IMBALANCE 

Distinct12
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
100 
승강기부품제조업
11 
승강기제조업
 
8
승강기제조업, 승강기부품제조업
 
3
승강기부품수입업
 
3
Other values (7)
 
9

Length

Max length26
Median length4
Mean length5.8059701
Min length4

Unique

Unique5 ?
Unique (%)3.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 100
74.6%
승강기부품제조업 11
 
8.2%
승강기제조업 8
 
6.0%
승강기제조업, 승강기부품제조업 3
 
2.2%
승강기부품수입업 3
 
2.2%
승강기부품제조업, 승강기부품수입업 2
 
1.5%
승강기제조업, 승강기수입업 2
 
1.5%
승강기수입업, 승강기부품제조업, 승강기부품수입업 1
 
0.7%
승강기제조업, 승강기부품수입업 1
 
0.7%
승강기제조업, 승강기수입업, 승강기부품수입업 1
 
0.7%
Other values (2) 2
 
1.5%

Length

2023-12-11T06:20:03.799997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 100
67.1%
승강기부품제조업 18
 
12.1%
승강기제조업 16
 
10.7%
승강기부품수입업 9
 
6.0%
승강기수입업 6
 
4.0%

자산금
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing134
Missing (%)100.0%
Memory size1.3 KiB

보수범위정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing134
Missing (%)100.0%
Memory size1.3 KiB

관리책임인력수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing134
Missing (%)100.0%
Memory size1.3 KiB

기술인력수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing134
Missing (%)100.0%
Memory size1.3 KiB

설계책임기술인력수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing134
Missing (%)100.0%
Memory size1.3 KiB

제조책임기술인력수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing134
Missing (%)100.0%
Memory size1.3 KiB

임원수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing134
Missing (%)100.0%
Memory size1.3 KiB

총직원수
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)65.0%
Missing114
Missing (%)85.1%
Infinite0
Infinite (%)0.0%
Mean21.85
Minimum2
Maximum270
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-11T06:20:03.927648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q15
median8
Q314.25
95-th percentile35.35
Maximum270
Range268
Interquartile range (IQR)9.25

Descriptive statistics

Standard deviation58.693921
Coefficient of variation (CV)2.6862206
Kurtosis19.548699
Mean21.85
Median Absolute Deviation (MAD)4
Skewness4.4009129
Sum437
Variance3444.9763
MonotonicityNot monotonic
2023-12-11T06:20:04.067754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
5 4
 
3.0%
10 2
 
1.5%
2 2
 
1.5%
3 2
 
1.5%
9 2
 
1.5%
14 1
 
0.7%
270 1
 
0.7%
15 1
 
0.7%
7 1
 
0.7%
16 1
 
0.7%
Other values (3) 3
 
2.2%
(Missing) 114
85.1%
ValueCountFrequency (%)
2 2
1.5%
3 2
1.5%
5 4
3.0%
6 1
 
0.7%
7 1
 
0.7%
9 2
1.5%
10 2
1.5%
14 1
 
0.7%
15 1
 
0.7%
16 1
 
0.7%
ValueCountFrequency (%)
270 1
0.7%
23 1
0.7%
18 1
0.7%
16 1
0.7%
15 1
0.7%
14 1
0.7%
10 2
1.5%
9 2
1.5%
7 1
0.7%
6 1
0.7%

기술직직원수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing134
Missing (%)100.0%
Memory size1.3 KiB

기능직직원수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing134
Missing (%)100.0%
Memory size1.3 KiB

사무직직원수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing134
Missing (%)100.0%
Memory size1.3 KiB

기타직원수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing134
Missing (%)100.0%
Memory size1.3 KiB

회사구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing134
Missing (%)100.0%
Memory size1.3 KiB

Sample

시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값업종구분명정보관리구분정보자산금보수범위정보관리책임인력수기술인력수설계책임기술인력수제조책임기술인력수임원수총직원수기술직직원수기능직직원수사무직직원수기타직원수회사구분명
0고양시(주)서강엘리베이터20170620<NA><NA>운영중<NA><NA><NA>경기도 고양시 덕양구 화신로260번길 (화정동)경기도 고양시 덕양구 화정동 979번지 2호1050037.632483126.832526<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1고양시(주)삼정엘텍20171205<NA><NA>운영중<NA><NA><NA>경기도 고양시 일산동구 호수로 688, 코오롱레이크폴리스II 322호 (장항동)경기도 고양시 일산동구 장항동 749번지 코오롱레이크폴리스II1036437.662667126.763979<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2고양시케이이앤씨(주)20170705<NA><NA>운영중<NA><NA><NA>경기도 고양시 일산서구 일산로 638 (대화동)경기도 고양시 일산서구 대화동 2032번지 4호1036937.682083126.758537<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3광명시(주)반도엘리베이터20130823<NA><NA>운영중<NA><NA><NA>경기도 광명시 벌말로 5-4 (가학동)경기도 광명시 가학동 908번지 11호42307037.408002126.853484<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4광명시(주)한테크20130814<NA><NA>운영중<NA><NA><NA>경기도 광명시 광명로 775-22 (광명동)경기도 광명시 광명동 758번지 4호42301037.470589126.846374<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5광명시한테크20130814<NA><NA>운영중<NA><NA><NA>경기도 광명시 광명로 770, 2층 (노온사동)<NA>14281<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
6광주시한국엘리베이터(주)20140808<NA><NA>운영중<NA><NA><NA>경기도 광주시 도척로 376-104경기도 광주시 도척면 진우리 346번지 4호46488337.318914127.330446<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
7광주시(주)대한특수승강기20140416<NA><NA>운영중<NA><NA><NA>경기도 광주시 오포읍 오포로448번길 14-11경기도 광주시 오포읍 512번지 4호464924<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8광주시주식회사 경원메탈2019-08-26<NA>1인허가317634162<NA>12720경기도 광주시 곤지암읍 광여로733번길 7-25경기도 광주시 곤지암읍 건업리 512-211272037.376703127.403248<NA>235677.564465430562.150107제조수입승강기부품제조업<NA><NA><NA><NA><NA><NA><NA>10<NA><NA><NA><NA><NA>
9군포시(주)제일리프트20140401<NA><NA>운영중<NA><NA><NA>경기도 군포시 흥안대로 15-6 (금정동)경기도 군포시 금정동 694번지 26호43586237.366404126.947891<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값업종구분명정보관리구분정보자산금보수범위정보관리책임인력수기술인력수설계책임기술인력수제조책임기술인력수임원수총직원수기술직직원수기능직직원수사무직직원수기타직원수회사구분명
124화성시(주)신일승강기20130816<NA><NA>운영중<NA><NA><NA>경기도 화성시 향남읍 발안공단로5길 7-10경기도 화성시 향남읍 구문천리 928번지 5호44592237.085647126.906897<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
125화성시(주)서울승강기20130813<NA><NA>운영중<NA><NA><NA>경기도 화성시 장안면 석포로 300-4경기도 화성시 장안면 석포리 761번지 35호44594137.143592126.831138<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
126화성시(주)토탈덤웨이터20151208<NA><NA>운영중<NA><NA><NA>경기도 화성시 팔탄면 시청로940번길 39, 2층경기도 화성시 팔탄면 구장리 127번지 12호1852937.166183126.893597<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
127화성시서우공업(주)20130823<NA><NA>운영중<NA><NA><NA>경기도 화성시 양감면 은행나무로 561-40경기도 화성시 양감면 대양리 1225번지 20호44593137.103563126.933868<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
128화성시(주)삼일엘텍20130822<NA><NA>운영중<NA><NA><NA>경기도 화성시 팔탄면 시청로 940-29경기도 화성시 팔탄면 구장리 127번지 6호44591537.166591126.89392<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
129화성시반도엘리베이터(주)2013-09-06<NA>1인허가313544610<NA>18560경기도 화성시 우정읍 3.1만세로281번길 29-30경기도 화성시 우정읍 멱우리 437-31856037.099343126.833069<NA><NA><NA>제조수입승강기제조업, 승강기수입업<NA><NA><NA><NA><NA><NA><NA>9<NA><NA><NA><NA><NA>
130화성시한국아이씨티(주)2022-11-22<NA>1인허가3115666536<NA>18511경기도 화성시 금곡로 231-22, B동 1층(금곡동)경기도 화성시 금곡동 197번지 B동1851137.181891127.077542<NA>206811.316476408903.429437제조수입승강기부품제조업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
131화성시주식회사 휴먼엔티2019-08-06<NA>1인허가328113310<NA>18545경기도 화성시 송산면 송산포도로 496-10경기도 화성시 송산면 마산리 689-101854537.228798126.701225<NA>173411.531814414143.865052제조수입승강기부품제조업<NA><NA><NA><NA><NA><NA><NA>6<NA><NA><NA><NA><NA>
132화성시서우공업(주)2013-08-23<NA>1인허가313548611<NA>445-931경기도 화성시 양감면 은행나무로 561-40경기도 화성시 양감면 대양리 1225번지 20호445-93137.103563126.933868<NA>194046.234425400195.498322제조수입승강기제조업<NA><NA><NA><NA><NA><NA><NA>23<NA><NA><NA><NA><NA>
133화성시신원기전(주)2013-08-23<NA>1인허가314338770<NA>18281경기도 화성시 남양읍 남양로 248-7경기도 화성시 남양읍 장덕리 245-31828137.164316126.809308<NA>182995.579428406957.126295제조수입승강기제조업<NA><NA><NA><NA><NA><NA><NA>18<NA><NA><NA><NA><NA>