Overview

Dataset statistics

Number of variables33
Number of observations427
Missing cells7345
Missing cells (%)52.1%
Duplicate rows4
Duplicate rows (%)0.9%
Total size in memory119.0 KiB
Average record size in memory285.3 B

Variable types

Categorical7
Text6
DateTime1
Unsupported13
Numeric6

Dataset

Description승강기유지관리업체 현황
Author행정안전부
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=HTC8ADAM7H25X1A7ZMKE14046536&infSeq=1

Alerts

Dataset has 4 (0.9%) duplicate rowsDuplicates
영업상태구분코드 is highly imbalanced (55.8%)Imbalance
기술인력수 is highly imbalanced (68.9%)Imbalance
인허가취소일자 has 427 (100.0%) missing valuesMissing
폐업일자 has 401 (93.9%) missing valuesMissing
소재지시설전화번호 has 281 (65.8%) missing valuesMissing
소재지면적정보 has 427 (100.0%) missing valuesMissing
도로명우편번호 has 292 (68.4%) missing valuesMissing
소재지지번주소 has 5 (1.2%) missing valuesMissing
WGS84위도 has 8 (1.9%) missing valuesMissing
WGS84경도 has 8 (1.9%) missing valuesMissing
업태구분명정보 has 427 (100.0%) missing valuesMissing
X좌표값 has 427 (100.0%) missing valuesMissing
Y좌표값 has 427 (100.0%) missing valuesMissing
자산금 has 308 (72.1%) missing valuesMissing
보수범위정보 has 244 (57.1%) missing valuesMissing
관리책임인력수 has 244 (57.1%) missing valuesMissing
설계책임기술인력수 has 427 (100.0%) missing valuesMissing
제조책임기술인력수 has 427 (100.0%) missing valuesMissing
임원수 has 427 (100.0%) missing valuesMissing
총직원수 has 427 (100.0%) missing valuesMissing
기술직직원수 has 427 (100.0%) missing valuesMissing
기능직직원수 has 427 (100.0%) missing valuesMissing
사무직직원수 has 427 (100.0%) missing valuesMissing
기타직원수 has 427 (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
X좌표값 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Y좌표값 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
총직원수 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
자산금 has 8 (1.9%) zerosZeros

Reproduction

Analysis started2023-12-10 22:01:09.882447
Analysis finished2023-12-10 22:01:10.513802
Duration0.63 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

Distinct27
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
안산시
48 
수원시
43 
화성시
34 
안양시
32 
부천시
32 
Other values (22)
238 

Length

Max length4
Median length3
Mean length3.0562061
Min length3

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
안산시 48
11.2%
수원시 43
 
10.1%
화성시 34
 
8.0%
안양시 32
 
7.5%
부천시 32
 
7.5%
고양시 29
 
6.8%
김포시 29
 
6.8%
시흥시 28
 
6.6%
성남시 22
 
5.2%
의정부시 18
 
4.2%
Other values (17) 112
26.2%

Length

2023-12-11T07:01:10.570208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
안산시 48
11.2%
수원시 43
 
10.1%
화성시 34
 
8.0%
안양시 32
 
7.5%
부천시 32
 
7.5%
고양시 29
 
6.8%
김포시 29
 
6.8%
시흥시 28
 
6.6%
성남시 22
 
5.2%
의정부시 18
 
4.2%
Other values (17) 112
26.2%

사업장명
Text

Distinct260
Distinct (%)60.9%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
2023-12-11T07:01:10.798203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length18
Mean length9.8220141
Min length1

Characters and Unicode

Total characters4194
Distinct characters184
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique125 ?
Unique (%)29.3%

Sample

1st row(주)서강엘리베이터
2nd row경기엘리베이터(주)
3rd row신한엘리베이터 주식회사
4th row주식회사 하나엘리베이터
5th row주식회사 대솔이엘
ValueCountFrequency (%)
주식회사 44
 
9.0%
주)반도엘리베이터 6
 
1.2%
주)한국엘레파킹시스템 5
 
1.0%
그린엘리베이터(주 4
 
0.8%
주)동명엘리베이터 4
 
0.8%
주)반도엔지니어링 4
 
0.8%
주)우신엘리베이터 4
 
0.8%
동양엘리베이터(주 4
 
0.8%
보성엘리베이터(주 4
 
0.8%
동방엘리베이터(주 4
 
0.8%
Other values (256) 405
83.0%
2023-12-11T07:01:11.129243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 386
 
9.2%
( 331
 
7.9%
) 331
 
7.9%
이 324
 
7.7%
엘 303
 
7.2%
리 283
 
6.7%
터 278
 
6.6%
베 277
 
6.6%
사 74
 
1.8%
기 63
 
1.5%
Other values (174) 1544
36.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3442
82.1%
Open Punctuation 331
 
7.9%
Close Punctuation 331
 
7.9%
Space Separator 61
 
1.5%
Uppercase Letter 21
 
0.5%
Other Symbol 3
 
0.1%
Other Punctuation 3
 
0.1%
Decimal Number 1
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 386
 
11.2%
이 324
 
9.4%
엘 303
 
8.8%
리 283
 
8.2%
터 278
 
8.1%
베 277
 
8.0%
사 74
 
2.1%
기 63
 
1.8%
회 58
 
1.7%
식 55
 
1.6%
Other values (157) 1341
39.0%
Uppercase Letter
ValueCountFrequency (%)
S 6
28.6%
K 3
14.3%
H 2
 
9.5%
A 2
 
9.5%
V 2
 
9.5%
C 2
 
9.5%
R 2
 
9.5%
G 1
 
4.8%
Y 1
 
4.8%
Other Punctuation
ValueCountFrequency (%)
/ 2
66.7%
& 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 331
100.0%
Close Punctuation
ValueCountFrequency (%)
) 331
100.0%
Space Separator
ValueCountFrequency (%)
61
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 3
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3445
82.1%
Common 728
 
17.4%
Latin 21
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 386
 
11.2%
이 324
 
9.4%
엘 303
 
8.8%
리 283
 
8.2%
터 278
 
8.1%
베 277
 
8.0%
사 74
 
2.1%
기 63
 
1.8%
회 58
 
1.7%
식 55
 
1.6%
Other values (158) 1344
39.0%
Latin
ValueCountFrequency (%)
S 6
28.6%
K 3
14.3%
H 2
 
9.5%
A 2
 
9.5%
V 2
 
9.5%
C 2
 
9.5%
R 2
 
9.5%
G 1
 
4.8%
Y 1
 
4.8%
Common
ValueCountFrequency (%)
( 331
45.5%
) 331
45.5%
61
 
8.4%
/ 2
 
0.3%
2 1
 
0.1%
& 1
 
0.1%
- 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3442
82.1%
ASCII 749
 
17.9%
None 3
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 386
 
11.2%
이 324
 
9.4%
엘 303
 
8.8%
리 283
 
8.2%
터 278
 
8.1%
베 277
 
8.0%
사 74
 
2.1%
기 63
 
1.8%
회 58
 
1.7%
식 55
 
1.6%
Other values (157) 1341
39.0%
ASCII
ValueCountFrequency (%)
( 331
44.2%
) 331
44.2%
61
 
8.1%
S 6
 
0.8%
K 3
 
0.4%
H 2
 
0.3%
A 2
 
0.3%
/ 2
 
0.3%
V 2
 
0.3%
C 2
 
0.3%
Other values (6) 7
 
0.9%
None
ValueCountFrequency (%)
㈜ 3
100.0%

인허가일자
Date

Distinct246
Distinct (%)57.6%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
Minimum1992-12-08 00:00:00
Maximum2023-11-07 00:00:00
2023-12-11T07:01:11.263431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:01:11.416909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing427
Missing (%)100.0%
Memory size3.9 KiB

영업상태구분코드
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
<NA>
244 
1
174 
5
 
4
4
 
3
3
 
1

Length

Max length4
Median length4
Mean length2.7142857
Min length1

Unique

Unique2 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 244
57.1%
1 174
40.7%
5 4
 
0.9%
4 3
 
0.7%
3 1
 
0.2%
2 1
 
0.2%

Length

2023-12-11T07:01:11.530093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:01:11.629331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 244
57.1%
1 174
40.7%
5 4
 
0.9%
4 3
 
0.7%
3 1
 
0.2%
2 1
 
0.2%

영업상태명
Categorical

Distinct7
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
운영중
218 
인허가
174 
폐업 등
26 
등록취소
 
4
사업재개
 
3
Other values (2)
 
2

Length

Max length4
Median length3
Mean length3.0725995
Min length2

Unique

Unique2 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
운영중 218
51.1%
인허가 174
40.7%
폐업 등 26
 
6.1%
등록취소 4
 
0.9%
사업재개 3
 
0.7%
휴지 1
 
0.2%
폐지 1
 
0.2%

Length

2023-12-11T07:01:12.051571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:01:12.169864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영중 218
48.1%
인허가 174
38.4%
폐업 26
 
5.7%
등 26
 
5.7%
등록취소 4
 
0.9%
사업재개 3
 
0.7%
휴지 1
 
0.2%
폐지 1
 
0.2%

폐업일자
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)80.8%
Missing401
Missing (%)93.9%
Infinite0
Infinite (%)0.0%
Mean20148400
Minimum20130402
Maximum20180607
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.9 KiB
2023-12-11T07:01:12.285811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20130402
5-th percentile20130449
Q120140388
median20140822
Q320160901
95-th percentile20178230
Maximum20180607
Range50205
Interquartile range (IQR)20512.75

Descriptive statistics

Standard deviation16346.824
Coefficient of variation (CV)0.00081132122
Kurtosis-0.729264
Mean20148400
Median Absolute Deviation (MAD)9749
Skewness0.81280972
Sum5.2385839 × 108
Variance2.6721866 × 108
MonotonicityNot monotonic
2023-12-11T07:01:12.424890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
20160901 2
 
0.5%
20140317 2
 
0.5%
20170420 2
 
0.5%
20180607 2
 
0.5%
20171101 2
 
0.5%
20131031 1
 
0.2%
20130731 1
 
0.2%
20140602 1
 
0.2%
20140814 1
 
0.2%
20140821 1
 
0.2%
Other values (11) 11
 
2.6%
(Missing) 401
93.9%
ValueCountFrequency (%)
20130402 1
0.2%
20130430 1
0.2%
20130507 1
0.2%
20130731 1
0.2%
20131031 1
0.2%
20140317 2
0.5%
20140602 1
0.2%
20140613 1
0.2%
20140731 1
0.2%
20140801 1
0.2%
ValueCountFrequency (%)
20180607 2
0.5%
20171101 2
0.5%
20170420 2
0.5%
20160901 2
0.5%
20150529 1
0.2%
20141211 1
0.2%
20140828 1
0.2%
20140825 1
0.2%
20140822 1
0.2%
20140821 1
0.2%

소재지시설전화번호
Text

MISSING 

Distinct145
Distinct (%)99.3%
Missing281
Missing (%)65.8%
Memory size3.5 KiB
2023-12-11T07:01:12.680621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.965753
Min length7

Characters and Unicode

Total characters1601
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

Unique144 ?
Unique (%)98.6%

Sample

1st row0319174796
2nd row0319768351
3rd row0319056870
4th row0319789797
5th row0319140977
ValueCountFrequency (%)
031 60
 
21.9%
032 6
 
2.2%
02 3
 
1.1%
000000000000 2
 
0.7%
221 2
 
0.7%
459 2
 
0.7%
222 2
 
0.7%
377 2
 
0.7%
6113132 1
 
0.4%
5460 1
 
0.4%
Other values (193) 193
70.4%
2023-12-11T07:01:13.065269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 256
16.0%
3 244
15.2%
1 230
14.4%
2 147
9.2%
132
8.2%
7 118
7.4%
4 108
6.7%
8 105
6.6%
9 91
 
5.7%
5 87
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1469
91.8%
Space Separator 132
 
8.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 256
17.4%
3 244
16.6%
1 230
15.7%
2 147
10.0%
7 118
8.0%
4 108
7.4%
8 105
7.1%
9 91
 
6.2%
5 87
 
5.9%
6 83
 
5.7%
Space Separator
ValueCountFrequency (%)
132
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1601
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 256
16.0%
3 244
15.2%
1 230
14.4%
2 147
9.2%
132
8.2%
7 118
7.4%
4 108
6.7%
8 105
6.6%
9 91
 
5.7%
5 87
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1601
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 256
16.0%
3 244
15.2%
1 230
14.4%
2 147
9.2%
132
8.2%
7 118
7.4%
4 108
6.7%
8 105
6.6%
9 91
 
5.7%
5 87
 
5.4%

소재지면적정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing427
Missing (%)100.0%
Memory size3.9 KiB

도로명우편번호
Text

MISSING 

Distinct125
Distinct (%)92.6%
Missing292
Missing (%)68.4%
Memory size3.5 KiB
2023-12-11T07:01:13.369881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.2814815
Min length5

Characters and Unicode

Total characters713
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

Unique116 ?
Unique (%)85.9%

Sample

1st row10437
2nd row10480
3rd row10328
4th row10401
5th row10383
ValueCountFrequency (%)
14084 3
 
2.2%
16690 2
 
1.5%
18298 2
 
1.5%
15471 2
 
1.5%
18123 2
 
1.5%
10809 2
 
1.5%
16648 2
 
1.5%
15117 2
 
1.5%
15103 2
 
1.5%
17111 1
 
0.7%
Other values (115) 115
85.2%
2023-12-11T07:01:13.791978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 174
24.4%
4 82
11.5%
0 80
11.2%
8 66
 
9.3%
5 62
 
8.7%
2 54
 
7.6%
3 48
 
6.7%
7 47
 
6.6%
6 45
 
6.3%
9 36
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 694
97.3%
Dash Punctuation 19
 
2.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 174
25.1%
4 82
11.8%
0 80
11.5%
8 66
 
9.5%
5 62
 
8.9%
2 54
 
7.8%
3 48
 
6.9%
7 47
 
6.8%
6 45
 
6.5%
9 36
 
5.2%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 713
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 174
24.4%
4 82
11.5%
0 80
11.2%
8 66
 
9.3%
5 62
 
8.7%
2 54
 
7.6%
3 48
 
6.7%
7 47
 
6.6%
6 45
 
6.3%
9 36
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 713
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 174
24.4%
4 82
11.5%
0 80
11.2%
8 66
 
9.3%
5 62
 
8.7%
2 54
 
7.6%
3 48
 
6.7%
7 47
 
6.6%
6 45
 
6.3%
9 36
 
5.0%

소재지도로명주소
Text

Distinct332
Distinct (%)77.8%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
2023-12-11T07:01:14.042265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length46
Mean length33.067916
Min length18

Characters and Unicode

Total characters14120
Distinct characters338
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique237 ?
Unique (%)55.5%

Sample

1st row경기도 고양시 덕양구 흥도로417번길 40 (성사동)
2nd row경기도 고양시 일산동구 일산로 138, 공장동 910호 (백석동)
3rd row경기도 고양시 덕양구 호수로71번길 70 (토당동)
4th row경기도 고양시 일산서구 고양대로632번길 60, 307호 (일산동, 이안아파트)
5th row경기도 고양시 일산동구 숲속마을로 48, 702호 (풍동)
ValueCountFrequency (%)
경기도 425
 
14.4%
안산시 48
 
1.6%
수원시 43
 
1.5%
단원구 40
 
1.4%
화성시 34
 
1.2%
부천시 32
 
1.1%
안양시 32
 
1.1%
3층 31
 
1.1%
고양시 29
 
1.0%
김포시 29
 
1.0%
Other values (983) 2204
74.8%
2023-12-11T07:01:14.460088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2520
 
17.8%
동 491
 
3.5%
시 477
 
3.4%
1 472
 
3.3%
기 444
 
3.1%
도 443
 
3.1%
경 442
 
3.1%
, 416
 
2.9%
로 410
 
2.9%
) 362
 
2.6%
Other values (328) 7643
54.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7853
55.6%
Space Separator 2520
 
17.8%
Decimal Number 2457
 
17.4%
Other Punctuation 416
 
2.9%
Close Punctuation 362
 
2.6%
Open Punctuation 362
 
2.6%
Dash Punctuation 92
 
0.7%
Uppercase Letter 47
 
0.3%
Math Symbol 5
 
< 0.1%
Letter Number 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 491
 
6.3%
시 477
 
6.1%
기 444
 
5.7%
도 443
 
5.6%
경 442
 
5.6%
로 410
 
5.2%
호 245
 
3.1%
구 219
 
2.8%
길 182
 
2.3%
안 180
 
2.3%
Other values (292) 4320
55.0%
Uppercase Letter
ValueCountFrequency (%)
B 19
40.4%
I 5
 
10.6%
A 5
 
10.6%
C 3
 
6.4%
Z 3
 
6.4%
D 3
 
6.4%
S 2
 
4.3%
J 1
 
2.1%
K 1
 
2.1%
L 1
 
2.1%
Other values (4) 4
 
8.5%
Decimal Number
ValueCountFrequency (%)
1 472
19.2%
0 314
12.8%
2 313
12.7%
3 306
12.5%
4 213
8.7%
5 189
7.7%
6 180
 
7.3%
7 175
 
7.1%
9 149
 
6.1%
8 146
 
5.9%
Lowercase Letter
ValueCountFrequency (%)
y 1
33.3%
t 1
33.3%
i 1
33.3%
Math Symbol
ValueCountFrequency (%)
~ 3
60.0%
∥ 2
40.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
66.7%
Ⅰ 1
33.3%
Space Separator
ValueCountFrequency (%)
2520
100.0%
Other Punctuation
ValueCountFrequency (%)
, 416
100.0%
Close Punctuation
ValueCountFrequency (%)
) 362
100.0%
Open Punctuation
ValueCountFrequency (%)
( 362
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 92
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7853
55.6%
Common 6214
44.0%
Latin 53
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 491
 
6.3%
시 477
 
6.1%
기 444
 
5.7%
도 443
 
5.6%
경 442
 
5.6%
로 410
 
5.2%
호 245
 
3.1%
구 219
 
2.8%
길 182
 
2.3%
안 180
 
2.3%
Other values (292) 4320
55.0%
Latin
ValueCountFrequency (%)
B 19
35.8%
I 5
 
9.4%
A 5
 
9.4%
C 3
 
5.7%
Z 3
 
5.7%
D 3
 
5.7%
S 2
 
3.8%
Ⅱ 2
 
3.8%
J 1
 
1.9%
K 1
 
1.9%
Other values (9) 9
17.0%
Common
ValueCountFrequency (%)
2520
40.6%
1 472
 
7.6%
, 416
 
6.7%
) 362
 
5.8%
( 362
 
5.8%
0 314
 
5.1%
2 313
 
5.0%
3 306
 
4.9%
4 213
 
3.4%
5 189
 
3.0%
Other values (7) 747
 
12.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7853
55.6%
ASCII 6262
44.3%
Number Forms 3
 
< 0.1%
Math Operators 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2520
40.2%
1 472
 
7.5%
, 416
 
6.6%
) 362
 
5.8%
( 362
 
5.8%
0 314
 
5.0%
2 313
 
5.0%
3 306
 
4.9%
4 213
 
3.4%
5 189
 
3.0%
Other values (23) 795
 
12.7%
Hangul
ValueCountFrequency (%)
동 491
 
6.3%
시 477
 
6.1%
기 444
 
5.7%
도 443
 
5.6%
경 442
 
5.6%
로 410
 
5.2%
호 245
 
3.1%
구 219
 
2.8%
길 182
 
2.3%
안 180
 
2.3%
Other values (292) 4320
55.0%
Math Operators
ValueCountFrequency (%)
∥ 2
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
66.7%
Ⅰ 1
33.3%

소재지지번주소
Text

MISSING 

Distinct326
Distinct (%)77.3%
Missing5
Missing (%)1.2%
Memory size3.5 KiB
2023-12-11T07:01:14.729217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length41
Mean length27.080569
Min length11

Characters and Unicode

Total characters11428
Distinct characters304
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique232 ?
Unique (%)55.0%

Sample

1st row경기도 고양시 덕양구 성사동 216번지 5호
2nd row경기도 고양시 일산동구 백석동 1141번지 1호
3rd row경기도 고양시 덕양구 토당동 672번지 10호
4th row경기도 고양시 일산서구 일산동 655번지 15호 이안아파트
5th row경기도 고양시 일산동구 풍동 1280번지
ValueCountFrequency (%)
경기도 420
 
16.4%
안산시 47
 
1.8%
수원시 43
 
1.7%
단원구 39
 
1.5%
1호 37
 
1.4%
화성시 34
 
1.3%
안양시 32
 
1.2%
부천시 31
 
1.2%
3호 30
 
1.2%
김포시 29
 
1.1%
Other values (813) 1824
71.1%
2023-12-11T07:01:15.123447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2146
 
18.8%
시 464
 
4.1%
동 452
 
4.0%
도 432
 
3.8%
기 431
 
3.8%
1 423
 
3.7%
경 420
 
3.7%
지 370
 
3.2%
번 341
 
3.0%
호 339
 
3.0%
Other values (294) 5610
49.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6854
60.0%
Decimal Number 2225
 
19.5%
Space Separator 2146
 
18.8%
Dash Punctuation 136
 
1.2%
Uppercase Letter 37
 
0.3%
Other Punctuation 12
 
0.1%
Close Punctuation 5
 
< 0.1%
Open Punctuation 5
 
< 0.1%
Letter Number 3
 
< 0.1%
Lowercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 464
 
6.8%
동 452
 
6.6%
도 432
 
6.3%
기 431
 
6.3%
경 420
 
6.1%
지 370
 
5.4%
번 341
 
5.0%
호 339
 
4.9%
구 217
 
3.2%
안 153
 
2.2%
Other values (262) 3235
47.2%
Uppercase Letter
ValueCountFrequency (%)
B 11
29.7%
A 7
18.9%
I 5
13.5%
Z 3
 
8.1%
L 2
 
5.4%
C 2
 
5.4%
S 2
 
5.4%
D 2
 
5.4%
M 1
 
2.7%
G 1
 
2.7%
Decimal Number
ValueCountFrequency (%)
1 423
19.0%
2 284
12.8%
3 267
12.0%
0 246
11.1%
5 205
9.2%
4 175
7.9%
7 165
 
7.4%
9 161
 
7.2%
6 156
 
7.0%
8 143
 
6.4%
Lowercase Letter
ValueCountFrequency (%)
t 1
33.3%
y 1
33.3%
i 1
33.3%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
66.7%
Ⅰ 1
33.3%
Space Separator
ValueCountFrequency (%)
2146
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 136
100.0%
Other Punctuation
ValueCountFrequency (%)
, 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Math Symbol
ValueCountFrequency (%)
∥ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6854
60.0%
Common 4531
39.6%
Latin 43
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 464
 
6.8%
동 452
 
6.6%
도 432
 
6.3%
기 431
 
6.3%
경 420
 
6.1%
지 370
 
5.4%
번 341
 
5.0%
호 339
 
4.9%
구 217
 
3.2%
안 153
 
2.2%
Other values (262) 3235
47.2%
Common
ValueCountFrequency (%)
2146
47.4%
1 423
 
9.3%
2 284
 
6.3%
3 267
 
5.9%
0 246
 
5.4%
5 205
 
4.5%
4 175
 
3.9%
7 165
 
3.6%
9 161
 
3.6%
6 156
 
3.4%
Other values (6) 303
 
6.7%
Latin
ValueCountFrequency (%)
B 11
25.6%
A 7
16.3%
I 5
11.6%
Z 3
 
7.0%
L 2
 
4.7%
C 2
 
4.7%
S 2
 
4.7%
D 2
 
4.7%
Ⅱ 2
 
4.7%
t 1
 
2.3%
Other values (6) 6
14.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6854
60.0%
ASCII 4569
40.0%
Number Forms 3
 
< 0.1%
Math Operators 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2146
47.0%
1 423
 
9.3%
2 284
 
6.2%
3 267
 
5.8%
0 246
 
5.4%
5 205
 
4.5%
4 175
 
3.8%
7 165
 
3.6%
9 161
 
3.5%
6 156
 
3.4%
Other values (19) 341
 
7.5%
Hangul
ValueCountFrequency (%)
시 464
 
6.8%
동 452
 
6.6%
도 432
 
6.3%
기 431
 
6.3%
경 420
 
6.1%
지 370
 
5.4%
번 341
 
5.0%
호 339
 
4.9%
구 217
 
3.2%
안 153
 
2.2%
Other values (262) 3235
47.2%
Math Operators
ValueCountFrequency (%)
∥ 2
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
66.7%
Ⅰ 1
33.3%

소재지우편번호
Text

Distinct274
Distinct (%)64.6%
Missing3
Missing (%)0.7%
Memory size3.5 KiB
2023-12-11T07:01:15.480024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.0990566
Min length3

Characters and Unicode

Total characters2162
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

Unique176 ?
Unique (%)41.5%

Sample

1st row10480
2nd row10442
3rd row10437
4th row10352
5th row10306
ValueCountFrequency (%)
16648 7
 
1.7%
18298 6
 
1.4%
15431 6
 
1.4%
14042 5
 
1.2%
16690 5
 
1.2%
18123 5
 
1.2%
15851 5
 
1.2%
17849 4
 
0.9%
10442 4
 
0.9%
15461 4
 
0.9%
Other values (264) 373
88.0%
2023-12-11T07:01:15.976278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 536
24.8%
4 273
12.6%
0 252
11.7%
5 220
10.2%
8 172
 
8.0%
3 163
 
7.5%
6 153
 
7.1%
2 138
 
6.4%
9 120
 
5.6%
7 116
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2143
99.1%
Dash Punctuation 19
 
0.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 536
25.0%
4 273
12.7%
0 252
11.8%
5 220
10.3%
8 172
 
8.0%
3 163
 
7.6%
6 153
 
7.1%
2 138
 
6.4%
9 120
 
5.6%
7 116
 
5.4%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2162
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 536
24.8%
4 273
12.6%
0 252
11.7%
5 220
10.2%
8 172
 
8.0%
3 163
 
7.5%
6 153
 
7.1%
2 138
 
6.4%
9 120
 
5.6%
7 116
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2162
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 536
24.8%
4 273
12.6%
0 252
11.7%
5 220
10.2%
8 172
 
8.0%
3 163
 
7.5%
6 153
 
7.1%
2 138
 
6.4%
9 120
 
5.6%
7 116
 
5.4%

WGS84위도
Real number (ℝ)

MISSING 

Distinct295
Distinct (%)70.4%
Missing8
Missing (%)1.9%
Infinite0
Infinite (%)0.0%
Mean37.406049
Minimum36.974356
Maximum37.968088
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.9 KiB
2023-12-11T07:01:16.124320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.974356
5-th percentile37.084976
Q137.279683
median37.361366
Q337.515268
95-th percentile37.734054
Maximum37.968088
Range0.99373151
Interquartile range (IQR)0.23558525

Descriptive statistics

Standard deviation0.19220951
Coefficient of variation (CV)0.0051384606
Kurtosis-0.31869107
Mean37.406049
Median Absolute Deviation (MAD)0.11641345
Skewness0.30520373
Sum15673.134
Variance0.036944494
MonotonicityNot monotonic
2023-12-11T07:01:16.268032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.3893370482 6
 
1.4%
37.2384099802 4
 
0.9%
37.3132411921 4
 
0.9%
37.3926189085 3
 
0.7%
37.3081733052 3
 
0.7%
37.3267540033 3
 
0.7%
37.317162652 3
 
0.7%
37.4013274083 3
 
0.7%
37.4015310331 3
 
0.7%
37.3239991806 3
 
0.7%
Other values (285) 384
89.9%
(Missing) 8
 
1.9%
ValueCountFrequency (%)
36.9743562676 1
0.2%
36.9876200139 1
0.2%
36.9878012875 1
0.2%
36.9889830576 1
0.2%
37.0004724453 2
0.5%
37.0094152944 2
0.5%
37.0094836313 2
0.5%
37.0189641347 1
0.2%
37.0231404804 2
0.5%
37.0289329852 1
0.2%
ValueCountFrequency (%)
37.9680877731 1
0.2%
37.8979409648 1
0.2%
37.8974470705 1
0.2%
37.8593339646 1
0.2%
37.8311095223 2
0.5%
37.8073672191 1
0.2%
37.7734510319 2
0.5%
37.7544656069 1
0.2%
37.7483492082 2
0.5%
37.7472346488 1
0.2%

WGS84경도
Real number (ℝ)

MISSING 

Distinct295
Distinct (%)70.4%
Missing8
Missing (%)1.9%
Infinite0
Infinite (%)0.0%
Mean126.92705
Minimum126.54869
Maximum127.65783
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.9 KiB
2023-12-11T07:01:16.428865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.54869
5-th percentile126.62733
Q1126.78887
median126.93148
Q3127.05349
95-th percentile127.21307
Maximum127.65783
Range1.1091333
Interquartile range (IQR)0.26462509

Descriptive statistics

Standard deviation0.18581603
Coefficient of variation (CV)0.0014639593
Kurtosis1.2452901
Mean126.92705
Median Absolute Deviation (MAD)0.13685691
Skewness0.64334339
Sum53182.434
Variance0.034527597
MonotonicityNot monotonic
2023-12-11T07:01:16.592553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.9424921589 6
 
1.4%
126.9864812076 4
 
0.9%
126.8292991215 4
 
0.9%
126.9388640512 3
 
0.7%
126.8321088375 3
 
0.7%
126.7863552373 3
 
0.7%
126.8389926577 3
 
0.7%
126.9131289596 3
 
0.7%
126.9675749609 3
 
0.7%
126.7899140638 3
 
0.7%
Other values (285) 384
89.9%
(Missing) 8
 
1.9%
ValueCountFrequency (%)
126.5486947219 1
0.2%
126.5520489482 2
0.5%
126.5579870969 2
0.5%
126.5594657835 1
0.2%
126.559956155 2
0.5%
126.5691232297 1
0.2%
126.5694415378 1
0.2%
126.5758777184 1
0.2%
126.5793994812 1
0.2%
126.5934329615 2
0.5%
ValueCountFrequency (%)
127.6578279756 2
0.5%
127.5694135772 1
0.2%
127.516806185 2
0.5%
127.5021718807 2
0.5%
127.4668658557 2
0.5%
127.3304461827 1
0.2%
127.3158396938 2
0.5%
127.294310173 1
0.2%
127.2692160426 1
0.2%
127.2603067127 1
0.2%

업태구분명정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing427
Missing (%)100.0%
Memory size3.9 KiB

X좌표값
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing427
Missing (%)100.0%
Memory size3.9 KiB

Y좌표값
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing427
Missing (%)100.0%
Memory size3.9 KiB

업종구분명정보
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
<NA>
244 
유지관리
183 

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> 244
57.1%
유지관리 183
42.9%

Length

2023-12-11T07:01:16.718361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:01:16.810607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 244
57.1%
유지관리 183
42.9%

관리구분정보
Categorical

Distinct4
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
<NA>
244 
중저속승강기
160 
고속승강기,중저속승강기
 
22
고속승강기
 
1

Length

Max length12
Median length4
Mean length5.1639344
Min length4

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 244
57.1%
중저속승강기 160
37.5%
고속승강기,중저속승강기 22
 
5.2%
고속승강기 1
 
0.2%

Length

2023-12-11T07:01:16.939182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:01:17.059478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 244
57.1%
중저속승강기 160
37.5%
고속승강기,중저속승강기 22
 
5.2%
고속승강기 1
 
0.2%

자산금
Real number (ℝ)

MISSING  ZEROS 

Distinct52
Distinct (%)43.7%
Missing308
Missing (%)72.1%
Infinite0
Infinite (%)0.0%
Mean1880.9328
Minimum0
Maximum100000
Zeros8
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size3.9 KiB
2023-12-11T07:01:17.178551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1100
median300
Q3592
95-th percentile4204.5
Maximum100000
Range100000
Interquartile range (IQR)492

Descriptive statistics

Standard deviation9610.5926
Coefficient of variation (CV)5.1094822
Kurtosis94.249546
Mean1880.9328
Median Absolute Deviation (MAD)200
Skewness9.3595223
Sum223831
Variance92363490
MonotonicityNot monotonic
2023-12-11T07:01:17.379608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100 33
 
7.7%
300 15
 
3.5%
200 9
 
2.1%
0 8
 
1.9%
500 5
 
1.2%
1000 3
 
0.7%
502 1
 
0.2%
1331 1
 
0.2%
900 1
 
0.2%
1273 1
 
0.2%
Other values (42) 42
 
9.8%
(Missing) 308
72.1%
ValueCountFrequency (%)
0 8
 
1.9%
50 1
 
0.2%
100 33
7.7%
101 1
 
0.2%
110 1
 
0.2%
114 1
 
0.2%
169 1
 
0.2%
186 1
 
0.2%
200 9
 
2.1%
203 1
 
0.2%
ValueCountFrequency (%)
100000 1
0.2%
26516 1
0.2%
16971 1
0.2%
10913 1
0.2%
10000 1
0.2%
4335 1
0.2%
4190 1
0.2%
3900 1
0.2%
3841 1
0.2%
3262 1
0.2%

보수범위정보
Real number (ℝ)

MISSING 

Distinct54
Distinct (%)29.5%
Missing244
Missing (%)57.1%
Infinite0
Infinite (%)0.0%
Mean1579.2896
Minimum0
Maximum19300
Zeros1
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size3.9 KiB
2023-12-11T07:01:17.610454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile500
Q1700
median990
Q31470
95-th percentile4545
Maximum19300
Range19300
Interquartile range (IQR)770

Descriptive statistics

Standard deviation2163.5301
Coefficient of variation (CV)1.3699388
Kurtosis31.856043
Mean1579.2896
Median Absolute Deviation (MAD)310
Skewness5.0296363
Sum289010
Variance4680862.7
MonotonicityNot monotonic
2023-12-11T07:01:17.775976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
700 24
 
5.6%
900 13
 
3.0%
1000 11
 
2.6%
500 11
 
2.6%
630 10
 
2.3%
1300 10
 
2.3%
800 9
 
2.1%
1400 8
 
1.9%
720 7
 
1.6%
1500 5
 
1.2%
Other values (44) 75
 
17.6%
(Missing) 244
57.1%
ValueCountFrequency (%)
0 1
 
0.2%
100 1
 
0.2%
300 1
 
0.2%
450 5
 
1.2%
500 11
2.6%
600 4
 
0.9%
630 10
2.3%
700 24
5.6%
720 7
 
1.6%
800 9
 
2.1%
ValueCountFrequency (%)
19300 1
0.2%
14200 1
0.2%
9630 1
0.2%
8300 1
0.2%
8010 1
0.2%
7000 1
0.2%
6900 1
0.2%
6200 1
0.2%
5900 1
0.2%
4590 1
0.2%

관리책임인력수
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)8.2%
Missing244
Missing (%)57.1%
Infinite0
Infinite (%)0.0%
Mean2.3606557
Minimum0
Maximum20
Zeros1
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size3.9 KiB
2023-12-11T07:01:17.945675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q32
95-th percentile8
Maximum20
Range20
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.8824943
Coefficient of variation (CV)1.2210566
Kurtosis15.033284
Mean2.3606557
Median Absolute Deviation (MAD)0
Skewness3.6029531
Sum432
Variance8.3087732
MonotonicityNot monotonic
2023-12-11T07:01:18.069578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
1 99
23.2%
2 44
 
10.3%
3 13
 
3.0%
4 8
 
1.9%
8 5
 
1.2%
5 3
 
0.7%
10 2
 
0.5%
9 2
 
0.5%
0 1
 
0.2%
7 1
 
0.2%
Other values (5) 5
 
1.2%
(Missing) 244
57.1%
ValueCountFrequency (%)
0 1
 
0.2%
1 99
23.2%
2 44
10.3%
3 13
 
3.0%
4 8
 
1.9%
5 3
 
0.7%
6 1
 
0.2%
7 1
 
0.2%
8 5
 
1.2%
9 2
 
0.5%
ValueCountFrequency (%)
20 1
 
0.2%
17 1
 
0.2%
16 1
 
0.2%
15 1
 
0.2%
10 2
 
0.5%
9 2
 
0.5%
8 5
1.2%
7 1
 
0.2%
6 1
 
0.2%
5 3
0.7%

기술인력수
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
<NA>
354 
0
61 
3
 
9
6
 
1
18
 
1

Length

Max length4
Median length4
Mean length3.4918033
Min length1

Unique

Unique3 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 354
82.9%
0 61
 
14.3%
3 9
 
2.1%
6 1
 
0.2%
18 1
 
0.2%
20 1
 
0.2%

Length

2023-12-11T07:01:18.199282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:01:18.310334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 354
82.9%
0 61
 
14.3%
3 9
 
2.1%
6 1
 
0.2%
18 1
 
0.2%
20 1
 
0.2%

설계책임기술인력수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing427
Missing (%)100.0%
Memory size3.9 KiB

제조책임기술인력수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing427
Missing (%)100.0%
Memory size3.9 KiB

임원수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing427
Missing (%)100.0%
Memory size3.9 KiB

총직원수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing427
Missing (%)100.0%
Memory size3.9 KiB

기술직직원수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing427
Missing (%)100.0%
Memory size3.9 KiB

기능직직원수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing427
Missing (%)100.0%
Memory size3.9 KiB

사무직직원수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing427
Missing (%)100.0%
Memory size3.9 KiB

기타직원수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing427
Missing (%)100.0%
Memory size3.9 KiB

회사구분명
Categorical

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
<NA>
257 
본점
160 
지점
 
10

Length

Max length4
Median length4
Mean length3.2037471
Min length2

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> 257
60.2%
본점 160
37.5%
지점 10
 
2.3%

Length

2023-12-11T07:01:18.447043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:01:18.555850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 257
60.2%
본점 160
37.5%
지점 10
 
2.3%

Sample

시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값업종구분명정보관리구분정보자산금보수범위정보관리책임인력수기술인력수설계책임기술인력수제조책임기술인력수임원수총직원수기술직직원수기능직직원수사무직직원수기타직원수회사구분명
0고양시(주)서강엘리베이터20140813<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 덕양구 흥도로417번길 40 (성사동)경기도 고양시 덕양구 성사동 216번지 5호1048037.642156126.848943<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1고양시경기엘리베이터(주)19981020<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 일산동구 일산로 138, 공장동 910호 (백석동)경기도 고양시 일산동구 백석동 1141번지 1호1044237.650111126.795016<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2고양시신한엘리베이터 주식회사20140813<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 덕양구 호수로71번길 70 (토당동)경기도 고양시 덕양구 토당동 672번지 10호1043737.621181126.807562<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3고양시주식회사 하나엘리베이터20171201<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 일산서구 고양대로632번길 60, 307호 (일산동, 이안아파트)경기도 고양시 일산서구 일산동 655번지 15호 이안아파트1035237.683822126.768533<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4고양시주식회사 대솔이엘20140813<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 일산동구 숲속마을로 48, 702호 (풍동)경기도 고양시 일산동구 풍동 1280번지1030637.667443126.797925<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5고양시케이이앤씨(주)20140822<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 일산서구 일산로 638, 3층 (대화동, 성저빌딩)경기도 고양시 일산서구 대화동 2032-4번지 성저빌딩 3층1036937.682083126.758537<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
6고양시(주)동우엘리베이터20171030<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 일산동구 하늘마을로 158, B동 5층 504호 (중산동)경기도 고양시 일산동구 중산동 1682번지 대방 트리플라온 비즈니스 타워1035537.678932126.779434<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
7고양시우신산전20140811<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 덕양구 무원로6번길 61, GL프라자동 707호 (행신동)경기도 고양시 덕양구 행신동 713-1번지 GL프라자동 707호1052337.614785126.833183<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8고양시한신승강기20140218<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 일산서구 호수로838번길 74-40, 1층 (대화동)경기도 고양시 일산서구 대화동 2259번지 3호1038337.672099126.751798<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9고양시동성엘리베이터20140813<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 일산동구 정발산로 31-10 (장항동, 파크프라자)경기도 고양시 일산동구 장항동 856-2번지 파크프라자1040237.657392126.772421<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값업종구분명정보관리구분정보자산금보수범위정보관리책임인력수기술인력수설계책임기술인력수제조책임기술인력수임원수총직원수기술직직원수기능직직원수사무직직원수기타직원수회사구분명
417화성시(주)세아엘리텍2020-03-06<NA>1인허가<NA>0312671125<NA>18298경기도 화성시 봉담읍 와우안길 109, 화성공구유통밸리경기도 화성시 봉담읍 동화리 139번지 1호 화성공구유통밸리1829837.221472126.972011<NA><NA><NA>유지관리중저속승강기1007001<NA><NA><NA><NA><NA><NA><NA><NA><NA>본점
418화성시주식회사 나우이엔씨2023-10-25<NA>1인허가<NA>00312220887<NA>18298경기도 화성시 봉담읍 와우안길 109, 화성공구유통밸리 111동 2층 210호경기도 화성시 봉담읍 동화리 139-1 화성공구유통밸리1829837.221714126.973598<NA><NA><NA>유지관리중저속승강기<NA>10004<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
419화성시신원기전㈜2001-04-10<NA>1인허가<NA>00314317417<NA>18281경기도 화성시 남양읍 남양로 248-7경기도 화성시 남양읍 장덕리 245번지 3호1828137.164316126.809308<NA><NA><NA>유지관리중저속승강기3005001<NA><NA><NA><NA><NA><NA><NA><NA><NA>본점
420화성시(주)우리엘리베이터2019-10-16<NA>1인허가<NA><NA><NA>18468경기도 화성시 동탄대로 677-10 (영천동)경기도 화성시 영천동 99번지 2호1846837.214501127.09989<NA><NA><NA>유지관리중저속승강기1698002<NA><NA><NA><NA><NA><NA><NA><NA><NA>본점
421화성시도담이엘(주)2013-01-14<NA>1인허가<NA>031 227 3128<NA>18329경기도 화성시 봉담읍 최루백로 115, 2층경기도 화성시 봉담읍 분천리 3-261832937.212493126.95572<NA><NA><NA>유지관리중저속승강기<NA>130030<NA><NA><NA><NA><NA><NA><NA><NA>본점
422화성시주식회사 현우시스템2018-08-01<NA>1인허가<NA>031 377 6205<NA>18385경기도 화성시 동탄지성로412번길 50-1, 5층 (반월동)경기도 화성시 반월동 275번지 3호1838537.22809127.051042<NA><NA><NA>유지관리중저속승강기<NA>7001<NA><NA><NA><NA><NA><NA><NA><NA><NA>본점
423화성시화성엘리베이터(주)2011-01-28<NA>1인허가<NA>031 238 3144<NA>18487경기도 화성시 동탄기흥로277번길 12, 205, 206호 (오산동, 엘에이치상가)경기도 화성시 오산동 1017번지 엘에이치상가 205, 206호1848737.185629127.0921<NA><NA><NA>유지관리중저속승강기<NA>13002<NA><NA><NA><NA><NA><NA><NA><NA><NA>본점
424화성시(주)스타리프트20091006<NA><NA>폐업 등20130731<NA><NA><NA>경기도 화성시 향남읍 발안공단로4길 21경기도 화성시 향남읍 구문천리 935번지 5호 발안산업단지 12B동 5L호1862337.083218126.90794<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
425<NA>티케이엘리베이터코리아(주) 경원지사2016-06-02<NA>1인허가<NA>02 2610 7777<NA>03924서울특별시 마포구 월드컵북로54길 25, 상암DMC푸르지오시티, S-City (상암동)서울특별시 마포구 상암동 1596 상암DMC푸르지오시티, S-City0392437.582089126.889005<NA><NA><NA>유지관리고속승강기,중저속승강기1273963016<NA><NA><NA><NA><NA><NA><NA><NA><NA>지점
426<NA>주식회사 티솔루션 평택사업소2016-11-14<NA>1인허가<NA>903180540810<NA>08377서울특별시 구로구 디지털로33길 48 (구로동, 대륭포스트타워7차)서울특별시 구로구 구로동 170번지 11호0837737.48725126.894495<NA><NA><NA>유지관리중저속승강기<NA>23003<NA><NA><NA><NA><NA><NA><NA><NA><NA>지점

Duplicate rows

Most frequently occurring

시군명사업장명인허가일자영업상태구분코드영업상태명폐업일자소재지시설전화번호도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업종구분명정보관리구분정보자산금보수범위정보관리책임인력수기술인력수회사구분명# duplicates
0고양시주식회사 하나엘에스20151216<NA>폐업 등20180607<NA><NA>경기도 고양시 일산동구 무궁화로 8-38 (장항동)경기도 고양시 일산동구 장항동 752번지 1호 호수그린오피스텔1040137.659818126.766796<NA><NA><NA><NA><NA><NA><NA>2
1군포시태주엘리베이터20120619<NA>폐업 등20171101<NA><NA>경기도 군포시 당정역로4번길 11, 115호 (당정동, 유영타운)경기도 군포시 당정동 1013-6번지 유영타운 115호1585137.343715126.949536<NA><NA><NA><NA><NA><NA><NA>2
2안양시수림엘리베이터(주)20110314<NA>폐업 등20160901<NA><NA>경기도 안양시 동안구 흥안대로 63 (호계동)경기도 안양시 동안구 호계동 1029-10번지1411937.368597126.952177<NA><NA><NA><NA><NA><NA><NA>2
3용인시(주)인성엘리베이터20080701<NA>폐업 등20140317<NA><NA>경기도 용인시 수지구 풍덕천로139번길 16-3, 201호 (풍덕천동, 일신빌딩)경기도 용인시 수지구 풍덕천동 705번지 5호1683737.325251127.096031<NA><NA><NA><NA><NA><NA><NA>2