Overview

Dataset statistics

Number of variables48
Number of observations576
Missing cells13600
Missing cells (%)49.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory231.3 KiB
Average record size in memory411.2 B

Variable types

Numeric16
DateTime4
Unsupported7
Categorical10
Text11

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),실험실면적,사업장구분명,영업소면적,위탁업체명,실험실지역코드,실험실우편번호,실험실산,실험실번지,실험실호,실험실통,실험실반,실험실특수주소,실험실특수주소동,실험실특수주소호,실험실도로명주소시군구코드,실험실도로명주소읍면동코드,실험실도로명주소읍면동구분,실험실도로명주소코드,실험실도로명특수주소,실험실도로명주소건물층구분,실험실도로명주소건물본번호,실험실도로명주소건물부번호,실험실도로명주소우편번호
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-16128/S/1/datasetView.do

Alerts

업태구분명 is highly imbalanced (84.8%)Imbalance
인허가취소일자 has 576 (100.0%) missing valuesMissing
폐업일자 has 345 (59.9%) missing valuesMissing
휴업시작일자 has 576 (100.0%) missing valuesMissing
휴업종료일자 has 576 (100.0%) missing valuesMissing
재개업일자 has 576 (100.0%) missing valuesMissing
전화번호 has 41 (7.1%) missing valuesMissing
소재지면적 has 576 (100.0%) missing valuesMissing
소재지우편번호 has 555 (96.4%) missing valuesMissing
지번주소 has 25 (4.3%) missing valuesMissing
도로명주소 has 66 (11.5%) missing valuesMissing
도로명우편번호 has 195 (33.9%) missing valuesMissing
좌표정보(X) has 21 (3.6%) missing valuesMissing
좌표정보(Y) has 21 (3.6%) missing valuesMissing
실험실면적 has 536 (93.1%) missing valuesMissing
영업소면적 has 507 (88.0%) missing valuesMissing
위탁업체명 has 487 (84.5%) missing valuesMissing
실험실지역코드 has 437 (75.9%) missing valuesMissing
실험실우편번호 has 481 (83.5%) missing valuesMissing
실험실번지 has 445 (77.3%) missing valuesMissing
실험실호 has 471 (81.8%) missing valuesMissing
실험실통 has 576 (100.0%) missing valuesMissing
실험실반 has 576 (100.0%) missing valuesMissing
실험실특수주소 has 493 (85.6%) missing valuesMissing
실험실특수주소동 has 571 (99.1%) missing valuesMissing
실험실특수주소호 has 558 (96.9%) missing valuesMissing
실험실도로명주소시군구코드 has 439 (76.2%) missing valuesMissing
실험실도로명주소읍면동코드 has 439 (76.2%) missing valuesMissing
실험실도로명주소코드 has 439 (76.2%) missing valuesMissing
실험실도로명특수주소 has 439 (76.2%) missing valuesMissing
실험실도로명주소건물본번호 has 439 (76.2%) missing valuesMissing
실험실도로명주소건물부번호 has 561 (97.4%) missing valuesMissing
실험실도로명주소우편번호 has 557 (96.7%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
실험실통 is an unsupported type, check if it needs cleaning or further analysisUnsupported
실험실반 is an unsupported type, check if it needs cleaning or further analysisUnsupported
실험실면적 has 32 (5.6%) zerosZeros
영업소면적 has 23 (4.0%) zerosZeros

Reproduction

Analysis started2024-04-29 18:53:08.958373
Analysis finished2024-04-29 18:53:10.253073
Duration1.29 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Real number (ℝ)

Distinct24
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3161649.3
Minimum3000000
Maximum3240000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.2 KiB
2024-04-30T03:53:10.325332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3000000
5-th percentile3010000
Q13147500
median3180000
Q33220000
95-th percentile3230000
Maximum3240000
Range240000
Interquartile range (IQR)72500

Descriptive statistics

Standard deviation72784.771
Coefficient of variation (CV)0.02302114
Kurtosis-0.11290033
Mean3161649.3
Median Absolute Deviation (MAD)40000
Skewness-1.0787234
Sum1.82111 × 109
Variance5.2976229 × 109
MonotonicityNot monotonic
2024-04-30T03:53:10.447202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
3220000 101
17.5%
3230000 73
12.7%
3170000 61
10.6%
3180000 54
9.4%
3210000 50
8.7%
3160000 48
8.3%
3010000 25
 
4.3%
3030000 23
 
4.0%
3000000 22
 
3.8%
3150000 19
 
3.3%
Other values (14) 100
17.4%
ValueCountFrequency (%)
3000000 22
3.8%
3010000 25
4.3%
3020000 8
 
1.4%
3030000 23
4.0%
3040000 10
 
1.7%
3050000 5
 
0.9%
3060000 7
 
1.2%
3070000 6
 
1.0%
3090000 1
 
0.2%
3100000 7
 
1.2%
ValueCountFrequency (%)
3240000 16
 
2.8%
3230000 73
12.7%
3220000 101
17.5%
3210000 50
8.7%
3200000 3
 
0.5%
3190000 7
 
1.2%
3180000 54
9.4%
3170000 61
10.6%
3160000 48
8.3%
3150000 19
 
3.3%

관리번호
Real number (ℝ)

UNIQUE 

Distinct576
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.16165 × 1017
Minimum3.0000007 × 1017
Maximum3.2400007 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.2 KiB
2024-04-30T03:53:10.575395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.0000007 × 1017
5-th percentile3.0100007 × 1017
Q13.1475007 × 1017
median3.1800007 × 1017
Q33.2200007 × 1017
95-th percentile3.2300007 × 1017
Maximum3.2400007 × 1017
Range2.4 × 1016
Interquartile range (IQR)7.25 × 1015

Descriptive statistics

Standard deviation7.2784771 × 1015
Coefficient of variation (CV)0.023021135
Kurtosis-0.11290033
Mean3.16165 × 1017
Median Absolute Deviation (MAD)4 × 1015
Skewness-1.0787234
Sum-2.356402 × 1018
Variance5.2976229 × 1031
MonotonicityNot monotonic
2024-04-30T03:53:10.722161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
318000067201000003 1
 
0.2%
318000067201000006 1
 
0.2%
322000067201000026 1
 
0.2%
322000067201000029 1
 
0.2%
322000067201000032 1
 
0.2%
322000067201000033 1
 
0.2%
322000067201000037 1
 
0.2%
322000067201000039 1
 
0.2%
322000067201000042 1
 
0.2%
322000067201000046 1
 
0.2%
Other values (566) 566
98.3%
ValueCountFrequency (%)
300000067200200003 1
0.2%
300000067201000001 1
0.2%
300000067201000002 1
0.2%
300000067201000003 1
0.2%
300000067201100001 1
0.2%
300000067201100002 1
0.2%
300000067201100003 1
0.2%
300000067201100004 1
0.2%
300000067201100005 1
0.2%
300000067201100006 1
0.2%
ValueCountFrequency (%)
324000067202400001 1
0.2%
324000067202300001 1
0.2%
324000067202000001 1
0.2%
324000067201900001 1
0.2%
324000067201600001 1
0.2%
324000067201500001 1
0.2%
324000067201400003 1
0.2%
324000067201400002 1
0.2%
324000067201400001 1
0.2%
324000067201200001 1
0.2%
Distinct474
Distinct (%)82.3%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
Minimum1978-08-14 00:00:00
Maximum2024-04-26 00:00:00
2024-04-30T03:53:10.849683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:53:10.999607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing576
Missing (%)100.0%
Memory size5.2 KiB
Distinct4
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
1
273 
3
236 
4
42 
5
 
25

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 273
47.4%
3 236
41.0%
4 42
 
7.3%
5 25
 
4.3%

Length

2024-04-30T03:53:11.126272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:53:11.212132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 273
47.4%
3 236
41.0%
4 42
 
7.3%
5 25
 
4.3%

영업상태명
Categorical

Distinct4
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
영업/정상
273 
폐업
236 
취소/말소/만료/정지/중지
42 
제외/삭제/전출
 
25

Length

Max length14
Median length8
Mean length4.5572917
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row폐업
2nd row영업/정상
3rd row영업/정상
4th row영업/정상
5th row영업/정상

Common Values

ValueCountFrequency (%)
영업/정상 273
47.4%
폐업 236
41.0%
취소/말소/만료/정지/중지 42
 
7.3%
제외/삭제/전출 25
 
4.3%

Length

2024-04-30T03:53:11.308488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:53:11.400667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 273
47.4%
폐업 236
41.0%
취소/말소/만료/정지/중지 42
 
7.3%
제외/삭제/전출 25
 
4.3%
Distinct4
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
BBBB
273 
2
236 
4
42 
5
 
25

Length

Max length4
Median length1
Mean length2.421875
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
BBBB 273
47.4%
2 236
41.0%
4 42
 
7.3%
5 25
 
4.3%

Length

2024-04-30T03:53:11.510782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:53:11.602642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
bbbb 273
47.4%
2 236
41.0%
4 42
 
7.3%
5 25
 
4.3%
Distinct4
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
영업
273 
폐업
236 
폐쇄
42 
제외사항
 
25

Length

Max length4
Median length2
Mean length2.0868056
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row폐업
2nd row영업
3rd row영업
4th row영업
5th row영업

Common Values

ValueCountFrequency (%)
영업 273
47.4%
폐업 236
41.0%
폐쇄 42
 
7.3%
제외사항 25
 
4.3%

Length

2024-04-30T03:53:11.701595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:53:11.795959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 273
47.4%
폐업 236
41.0%
폐쇄 42
 
7.3%
제외사항 25
 
4.3%

폐업일자
Date

MISSING 

Distinct197
Distinct (%)85.3%
Missing345
Missing (%)59.9%
Memory size4.6 KiB
Minimum1998-01-20 00:00:00
Maximum2024-02-20 00:00:00
2024-04-30T03:53:11.893947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:53:12.007537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing576
Missing (%)100.0%
Memory size5.2 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing576
Missing (%)100.0%
Memory size5.2 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing576
Missing (%)100.0%
Memory size5.2 KiB

전화번호
Text

MISSING 

Distinct461
Distinct (%)86.2%
Missing41
Missing (%)7.1%
Memory size4.6 KiB
2024-04-30T03:53:12.231987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length9.8149533
Min length7

Characters and Unicode

Total characters5251
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique401 ?
Unique (%)75.0%

Sample

1st row0226362662
2nd row02-866-3639
3rd row02-866-3639
4th row02-866-3639
5th row02-6410-0325
ValueCountFrequency (%)
028520801 4
 
0.7%
02-866-3639 4
 
0.7%
02-2145-6379 3
 
0.6%
02-512-3282 3
 
0.6%
20089812 3
 
0.6%
02-6960-6114 3
 
0.6%
02)6960-6114 3
 
0.6%
02-3433-7308 3
 
0.6%
02-575-1199 3
 
0.6%
02-445-5805 3
 
0.6%
Other values (451) 503
94.0%
2024-04-30T03:53:12.551293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 853
16.2%
2 811
15.4%
- 505
9.6%
1 464
8.8%
6 438
8.3%
3 434
8.3%
4 409
7.8%
5 393
7.5%
7 332
 
6.3%
8 320
 
6.1%
Other values (3) 292
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4740
90.3%
Dash Punctuation 505
 
9.6%
Close Punctuation 3
 
0.1%
Math Symbol 3
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 853
18.0%
2 811
17.1%
1 464
9.8%
6 438
9.2%
3 434
9.2%
4 409
8.6%
5 393
8.3%
7 332
 
7.0%
8 320
 
6.8%
9 286
 
6.0%
Dash Punctuation
ValueCountFrequency (%)
- 505
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5251
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 853
16.2%
2 811
15.4%
- 505
9.6%
1 464
8.8%
6 438
8.3%
3 434
8.3%
4 409
7.8%
5 393
7.5%
7 332
 
6.3%
8 320
 
6.1%
Other values (3) 292
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5251
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 853
16.2%
2 811
15.4%
- 505
9.6%
1 464
8.8%
6 438
8.3%
3 434
8.3%
4 409
7.8%
5 393
7.5%
7 332
 
6.3%
8 320
 
6.1%
Other values (3) 292
 
5.6%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing576
Missing (%)100.0%
Memory size5.2 KiB

소재지우편번호
Text

MISSING 

Distinct16
Distinct (%)76.2%
Missing555
Missing (%)96.4%
Memory size4.6 KiB
2024-04-30T03:53:12.686118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters126
Distinct characters13
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14 ?
Unique (%)66.7%

Sample

1st row121020
2nd row121816
3rd row152887
4th row152775
5th row153802
ValueCountFrequency (%)
null 5
23.8%
153803 2
 
9.5%
121020 1
 
4.8%
121816 1
 
4.8%
152887 1
 
4.8%
152775 1
 
4.8%
153802 1
 
4.8%
153789 1
 
4.8%
137876 1
 
4.8%
153775 1
 
4.8%
Other values (6) 6
28.6%
2024-04-30T03:53:12.918253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 21
16.7%
8 15
11.9%
3 14
11.1%
7 14
11.1%
5 12
9.5%
l 10
7.9%
10
7.9%
2 9
7.1%
0 6
 
4.8%
n 5
 
4.0%
Other values (3) 10
7.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 96
76.2%
Lowercase Letter 20
 
15.9%
Space Separator 10
 
7.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 21
21.9%
8 15
15.6%
3 14
14.6%
7 14
14.6%
5 12
12.5%
2 9
9.4%
0 6
 
6.2%
9 3
 
3.1%
6 2
 
2.1%
Lowercase Letter
ValueCountFrequency (%)
l 10
50.0%
n 5
25.0%
u 5
25.0%
Space Separator
ValueCountFrequency (%)
10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 106
84.1%
Latin 20
 
15.9%

Most frequent character per script

Common
ValueCountFrequency (%)
1 21
19.8%
8 15
14.2%
3 14
13.2%
7 14
13.2%
5 12
11.3%
10
9.4%
2 9
8.5%
0 6
 
5.7%
9 3
 
2.8%
6 2
 
1.9%
Latin
ValueCountFrequency (%)
l 10
50.0%
n 5
25.0%
u 5
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 126
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 21
16.7%
8 15
11.9%
3 14
11.1%
7 14
11.1%
5 12
9.5%
l 10
7.9%
10
7.9%
2 9
7.1%
0 6
 
4.8%
n 5
 
4.0%
Other values (3) 10
7.9%

지번주소
Text

MISSING 

Distinct474
Distinct (%)86.0%
Missing25
Missing (%)4.3%
Memory size4.6 KiB
2024-04-30T03:53:13.192575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length39
Mean length26.428312
Min length14

Characters and Unicode

Total characters14562
Distinct characters339
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique413 ?
Unique (%)75.0%

Sample

1st row서울특별시 영등포구 영등포동8가 92 케이앤케이디지털타워 810호
2nd row서울특별시 구로구 구로동 197-28 이앤씨벤처드림타워6차 511-1호
3rd row서울특별시 구로구 구로동 197-28 이앤씨벤처드림타워6차 511-1호
4th row서울특별시 금천구 가산동 60-26 B동 723호
5th row서울특별시 중구 다동 155 센터플레이스(Center Place) 5층
ValueCountFrequency (%)
서울특별시 551
 
19.4%
강남구 97
 
3.4%
송파구 68
 
2.4%
금천구 60
 
2.1%
가산동 55
 
1.9%
서초구 51
 
1.8%
영등포구 50
 
1.8%
구로구 47
 
1.7%
구로동 43
 
1.5%
역삼동 33
 
1.2%
Other values (962) 1792
62.9%
2024-04-30T03:53:13.605529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2579
 
17.7%
674
 
4.6%
648
 
4.4%
639
 
4.4%
565
 
3.9%
1 563
 
3.9%
562
 
3.9%
551
 
3.8%
551
 
3.8%
2 425
 
2.9%
Other values (329) 6805
46.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8566
58.8%
Decimal Number 2829
 
19.4%
Space Separator 2579
 
17.7%
Dash Punctuation 421
 
2.9%
Uppercase Letter 105
 
0.7%
Lowercase Letter 21
 
0.1%
Open Punctuation 14
 
0.1%
Close Punctuation 14
 
0.1%
Other Punctuation 9
 
0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
674
 
7.9%
648
 
7.6%
639
 
7.5%
565
 
6.6%
562
 
6.6%
551
 
6.4%
551
 
6.4%
148
 
1.7%
144
 
1.7%
141
 
1.6%
Other values (280) 3943
46.0%
Uppercase Letter
ValueCountFrequency (%)
C 13
12.4%
B 12
11.4%
T 10
 
9.5%
I 9
 
8.6%
S 9
 
8.6%
A 6
 
5.7%
J 5
 
4.8%
D 5
 
4.8%
G 4
 
3.8%
K 4
 
3.8%
Other values (13) 28
26.7%
Decimal Number
ValueCountFrequency (%)
1 563
19.9%
2 425
15.0%
3 318
11.2%
0 275
9.7%
5 267
9.4%
4 265
9.4%
7 193
 
6.8%
6 186
 
6.6%
8 183
 
6.5%
9 154
 
5.4%
Lowercase Letter
ValueCountFrequency (%)
e 7
33.3%
n 3
14.3%
r 2
 
9.5%
l 2
 
9.5%
a 2
 
9.5%
c 2
 
9.5%
t 2
 
9.5%
b 1
 
4.8%
Other Punctuation
ValueCountFrequency (%)
, 7
77.8%
& 2
 
22.2%
Space Separator
ValueCountFrequency (%)
2579
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 421
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Letter Number
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8566
58.8%
Common 5869
40.3%
Latin 127
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
674
 
7.9%
648
 
7.6%
639
 
7.5%
565
 
6.6%
562
 
6.6%
551
 
6.4%
551
 
6.4%
148
 
1.7%
144
 
1.7%
141
 
1.6%
Other values (280) 3943
46.0%
Latin
ValueCountFrequency (%)
C 13
 
10.2%
B 12
 
9.4%
T 10
 
7.9%
I 9
 
7.1%
S 9
 
7.1%
e 7
 
5.5%
A 6
 
4.7%
J 5
 
3.9%
D 5
 
3.9%
G 4
 
3.1%
Other values (22) 47
37.0%
Common
ValueCountFrequency (%)
2579
43.9%
1 563
 
9.6%
2 425
 
7.2%
- 421
 
7.2%
3 318
 
5.4%
0 275
 
4.7%
5 267
 
4.5%
4 265
 
4.5%
7 193
 
3.3%
6 186
 
3.2%
Other values (7) 377
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8566
58.8%
ASCII 5995
41.2%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2579
43.0%
1 563
 
9.4%
2 425
 
7.1%
- 421
 
7.0%
3 318
 
5.3%
0 275
 
4.6%
5 267
 
4.5%
4 265
 
4.4%
7 193
 
3.2%
6 186
 
3.1%
Other values (38) 503
 
8.4%
Hangul
ValueCountFrequency (%)
674
 
7.9%
648
 
7.6%
639
 
7.5%
565
 
6.6%
562
 
6.6%
551
 
6.4%
551
 
6.4%
148
 
1.7%
144
 
1.7%
141
 
1.6%
Other values (280) 3943
46.0%
Number Forms
ValueCountFrequency (%)
1
100.0%

도로명주소
Text

MISSING 

Distinct447
Distinct (%)87.6%
Missing66
Missing (%)11.5%
Memory size4.6 KiB
2024-04-30T03:53:13.916303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length46
Mean length34.407843
Min length21

Characters and Unicode

Total characters17548
Distinct characters366
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique397 ?
Unique (%)77.8%

Sample

1st row서울특별시 구로구 디지털로31길 41, 이앤씨벤처드림타워6차 5층 511-1호 (구로동)
2nd row서울특별시 구로구 디지털로31길 41, 이앤씨벤처드림타워6차 5층 511-1호 (구로동)
3rd row서울특별시 금천구 디지털로 178, B동 723호 (가산동)
4th row서울특별시 중구 남대문로9길 40, 센터플레이스(Center Place) 5층 (다동)
5th row서울특별시 금천구 가산디지털2로 184, 918호 (가산동, 벽산디지털밸리2차)
ValueCountFrequency (%)
서울특별시 509
 
15.7%
강남구 92
 
2.8%
송파구 69
 
2.1%
금천구 59
 
1.8%
서초구 50
 
1.5%
가산동 48
 
1.5%
영등포구 45
 
1.4%
구로구 34
 
1.0%
구로동 32
 
1.0%
가산디지털1로 29
 
0.9%
Other values (1113) 2277
70.2%
2024-04-30T03:53:14.391725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2796
 
15.9%
645
 
3.7%
1 639
 
3.6%
634
 
3.6%
602
 
3.4%
584
 
3.3%
526
 
3.0%
) 521
 
3.0%
( 521
 
3.0%
520
 
3.0%
Other values (356) 9560
54.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10361
59.0%
Space Separator 2796
 
15.9%
Decimal Number 2663
 
15.2%
Close Punctuation 521
 
3.0%
Open Punctuation 521
 
3.0%
Other Punctuation 487
 
2.8%
Uppercase Letter 113
 
0.6%
Dash Punctuation 55
 
0.3%
Lowercase Letter 20
 
0.1%
Math Symbol 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
645
 
6.2%
634
 
6.1%
602
 
5.8%
584
 
5.6%
526
 
5.1%
520
 
5.0%
509
 
4.9%
509
 
4.9%
209
 
2.0%
200
 
1.9%
Other values (306) 5423
52.3%
Uppercase Letter
ValueCountFrequency (%)
C 15
13.3%
B 13
11.5%
A 13
11.5%
T 10
 
8.8%
I 9
 
8.0%
S 8
 
7.1%
G 5
 
4.4%
J 5
 
4.4%
D 5
 
4.4%
V 4
 
3.5%
Other values (12) 26
23.0%
Decimal Number
ValueCountFrequency (%)
1 639
24.0%
2 443
16.6%
0 294
11.0%
3 273
10.3%
4 224
 
8.4%
5 217
 
8.1%
6 179
 
6.7%
7 154
 
5.8%
8 133
 
5.0%
9 107
 
4.0%
Lowercase Letter
ValueCountFrequency (%)
e 6
30.0%
t 3
15.0%
c 2
 
10.0%
a 2
 
10.0%
l 2
 
10.0%
r 2
 
10.0%
n 2
 
10.0%
k 1
 
5.0%
Other Punctuation
ValueCountFrequency (%)
, 484
99.4%
& 2
 
0.4%
. 1
 
0.2%
Letter Number
ValueCountFrequency (%)
2
66.7%
1
33.3%
Space Separator
ValueCountFrequency (%)
2796
100.0%
Close Punctuation
ValueCountFrequency (%)
) 521
100.0%
Open Punctuation
ValueCountFrequency (%)
( 521
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 55
100.0%
Math Symbol
ValueCountFrequency (%)
~ 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10361
59.0%
Common 7051
40.2%
Latin 136
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
645
 
6.2%
634
 
6.1%
602
 
5.8%
584
 
5.6%
526
 
5.1%
520
 
5.0%
509
 
4.9%
509
 
4.9%
209
 
2.0%
200
 
1.9%
Other values (306) 5423
52.3%
Latin
ValueCountFrequency (%)
C 15
 
11.0%
B 13
 
9.6%
A 13
 
9.6%
T 10
 
7.4%
I 9
 
6.6%
S 8
 
5.9%
e 6
 
4.4%
G 5
 
3.7%
J 5
 
3.7%
D 5
 
3.7%
Other values (22) 47
34.6%
Common
ValueCountFrequency (%)
2796
39.7%
1 639
 
9.1%
) 521
 
7.4%
( 521
 
7.4%
, 484
 
6.9%
2 443
 
6.3%
0 294
 
4.2%
3 273
 
3.9%
4 224
 
3.2%
5 217
 
3.1%
Other values (8) 639
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10361
59.0%
ASCII 7184
40.9%
Number Forms 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2796
38.9%
1 639
 
8.9%
) 521
 
7.3%
( 521
 
7.3%
, 484
 
6.7%
2 443
 
6.2%
0 294
 
4.1%
3 273
 
3.8%
4 224
 
3.1%
5 217
 
3.0%
Other values (38) 772
 
10.7%
Hangul
ValueCountFrequency (%)
645
 
6.2%
634
 
6.1%
602
 
5.8%
584
 
5.6%
526
 
5.1%
520
 
5.0%
509
 
4.9%
509
 
4.9%
209
 
2.0%
200
 
1.9%
Other values (306) 5423
52.3%
Number Forms
ValueCountFrequency (%)
2
66.7%
1
33.3%

도로명우편번호
Text

MISSING 

Distinct273
Distinct (%)71.7%
Missing195
Missing (%)33.9%
Memory size4.6 KiB
2024-04-30T03:53:14.703897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.4409449
Min length5

Characters and Unicode

Total characters2073
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

Unique201 ?
Unique (%)52.8%

Sample

1st row08375
2nd row08375
3rd row08513
4th row04522
5th row153-783
ValueCountFrequency (%)
153803 7
 
1.8%
138834 5
 
1.3%
05510 4
 
1.0%
05839 4
 
1.0%
04781 4
 
1.0%
08506 4
 
1.0%
05836 4
 
1.0%
08501 4
 
1.0%
152862 4
 
1.0%
06515 3
 
0.8%
Other values (263) 338
88.7%
2024-04-30T03:53:15.123167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 371
17.9%
1 266
12.8%
8 253
12.2%
3 229
11.0%
5 226
10.9%
7 190
9.2%
2 171
8.2%
6 126
 
6.1%
4 116
 
5.6%
9 101
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2049
98.8%
Dash Punctuation 24
 
1.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 371
18.1%
1 266
13.0%
8 253
12.3%
3 229
11.2%
5 226
11.0%
7 190
9.3%
2 171
8.3%
6 126
 
6.1%
4 116
 
5.7%
9 101
 
4.9%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2073
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 371
17.9%
1 266
12.8%
8 253
12.2%
3 229
11.0%
5 226
10.9%
7 190
9.2%
2 171
8.2%
6 126
 
6.1%
4 116
 
5.6%
9 101
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2073
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 371
17.9%
1 266
12.8%
8 253
12.2%
3 229
11.0%
5 226
10.9%
7 190
9.2%
2 171
8.2%
6 126
 
6.1%
4 116
 
5.6%
9 101
 
4.9%
Distinct431
Distinct (%)74.8%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
2024-04-30T03:53:15.312559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length18
Mean length8.859375
Min length3

Characters and Unicode

Total characters5103
Distinct characters288
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique316 ?
Unique (%)54.9%

Sample

1st row아태수기엔지니어링(주)
2nd row(주)우림환경엔지니어링
3rd row(주)우림환경엔지니어링
4th row주식회사 우림환경엔지니어링
5th row자이에너지운영(주)
ValueCountFrequency (%)
주식회사 48
 
7.5%
쌍용건설(주 4
 
0.6%
주)아시아소음진동연구소 4
 
0.6%
주)재성환경 4
 
0.6%
주)유신 4
 
0.6%
비손푸른엔지니어링(주 3
 
0.5%
주)에코엔탑 3
 
0.5%
롯데건설(주 3
 
0.5%
주)삼보기술단 3
 
0.5%
주)그린환경 3
 
0.5%
Other values (426) 557
87.6%
2024-04-30T03:53:15.622286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
549
 
10.8%
) 480
 
9.4%
( 478
 
9.4%
195
 
3.8%
170
 
3.3%
132
 
2.6%
121
 
2.4%
98
 
1.9%
96
 
1.9%
75
 
1.5%
Other values (278) 2709
53.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4035
79.1%
Close Punctuation 486
 
9.5%
Open Punctuation 484
 
9.5%
Space Separator 60
 
1.2%
Uppercase Letter 29
 
0.6%
Decimal Number 5
 
0.1%
Other Symbol 2
 
< 0.1%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
549
 
13.6%
195
 
4.8%
170
 
4.2%
132
 
3.3%
121
 
3.0%
98
 
2.4%
96
 
2.4%
75
 
1.9%
74
 
1.8%
72
 
1.8%
Other values (258) 2453
60.8%
Uppercase Letter
ValueCountFrequency (%)
T 7
24.1%
S 6
20.7%
X 6
20.7%
I 2
 
6.9%
C 2
 
6.9%
G 2
 
6.9%
L 1
 
3.4%
K 1
 
3.4%
N 1
 
3.4%
E 1
 
3.4%
Decimal Number
ValueCountFrequency (%)
2 2
40.0%
1 2
40.0%
9 1
20.0%
Close Punctuation
ValueCountFrequency (%)
) 480
98.8%
] 6
 
1.2%
Open Punctuation
ValueCountFrequency (%)
( 478
98.8%
[ 6
 
1.2%
Space Separator
ValueCountFrequency (%)
60
100.0%
Other Symbol
ValueCountFrequency (%)
2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4037
79.1%
Common 1037
 
20.3%
Latin 29
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
549
 
13.6%
195
 
4.8%
170
 
4.2%
132
 
3.3%
121
 
3.0%
98
 
2.4%
96
 
2.4%
75
 
1.9%
74
 
1.8%
72
 
1.8%
Other values (259) 2455
60.8%
Latin
ValueCountFrequency (%)
T 7
24.1%
S 6
20.7%
X 6
20.7%
I 2
 
6.9%
C 2
 
6.9%
G 2
 
6.9%
L 1
 
3.4%
K 1
 
3.4%
N 1
 
3.4%
E 1
 
3.4%
Common
ValueCountFrequency (%)
) 480
46.3%
( 478
46.1%
60
 
5.8%
] 6
 
0.6%
[ 6
 
0.6%
2 2
 
0.2%
1 2
 
0.2%
- 2
 
0.2%
9 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4035
79.1%
ASCII 1066
 
20.9%
None 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
549
 
13.6%
195
 
4.8%
170
 
4.2%
132
 
3.3%
121
 
3.0%
98
 
2.4%
96
 
2.4%
75
 
1.9%
74
 
1.8%
72
 
1.8%
Other values (258) 2453
60.8%
ASCII
ValueCountFrequency (%)
) 480
45.0%
( 478
44.8%
60
 
5.6%
T 7
 
0.7%
] 6
 
0.6%
[ 6
 
0.6%
S 6
 
0.6%
X 6
 
0.6%
2 2
 
0.2%
I 2
 
0.2%
Other values (9) 13
 
1.2%
None
ValueCountFrequency (%)
2
100.0%

최종수정일자
Date

UNIQUE 

Distinct576
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
Minimum2010-02-11 15:24:23
Maximum2024-04-24 17:32:48
2024-04-30T03:53:15.945714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:53:16.064263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
U
297 
I
279 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowU
2nd rowI
3rd rowU
4th rowI
5th rowU

Common Values

ValueCountFrequency (%)
U 297
51.6%
I 279
48.4%

Length

2024-04-30T03:53:16.169203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:53:16.252236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 297
51.6%
i 279
48.4%
Distinct236
Distinct (%)41.0%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
Minimum2019-03-30 02:20:09
Maximum2023-12-04 00:05:00
2024-04-30T03:53:16.352377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:53:16.467980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

IMBALANCE 

Distinct19
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
<NA>
534 
환경상담 및 관련 엔지니어링 서비스업
 
7
환경컨설팅 및 관련 엔지니어링 서비스업
 
7
종합 건설업
 
6
환경 정화 및 복원업
 
3
Other values (14)
 
19

Length

Max length21
Median length4
Mean length4.6770833
Min length2

Unique

Unique11 ?
Unique (%)1.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 534
92.7%
환경상담 및 관련 엔지니어링 서비스업 7
 
1.2%
환경컨설팅 및 관련 엔지니어링 서비스업 7
 
1.2%
종합 건설업 6
 
1.0%
환경 정화 및 복원업 3
 
0.5%
환경설비 건설업 3
 
0.5%
환경 관련 엔지니어링 서비스업 3
 
0.5%
건물 건설업 2
 
0.3%
기타 건물건설관련 전문 공사업 1
 
0.2%
농업 1
 
0.2%
Other values (9) 9
 
1.6%

Length

2024-04-30T03:53:16.607769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 534
78.2%
20
 
2.9%
관련 19
 
2.8%
서비스업 18
 
2.6%
엔지니어링 17
 
2.5%
건설업 14
 
2.0%
환경상담 7
 
1.0%
환경컨설팅 7
 
1.0%
환경 7
 
1.0%
종합 6
 
0.9%
Other values (21) 34
 
5.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct395
Distinct (%)71.2%
Missing21
Missing (%)3.6%
Infinite0
Infinite (%)0.0%
Mean199642.17
Minimum182941.06
Maximum415265.49
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.2 KiB
2024-04-30T03:53:16.723656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum182941.06
5-th percentile189127.98
Q1190716.42
median199971.15
Q3205138.84
95-th percentile211255.76
Maximum415265.49
Range232324.43
Interquartile range (IQR)14422.421

Descriptive statistics

Standard deviation12068.649
Coefficient of variation (CV)0.060451405
Kurtosis183.23172
Mean199642.17
Median Absolute Deviation (MAD)7379.9035
Skewness10.291069
Sum1.108014 × 108
Variance1.456523 × 108
MonotonicityNot monotonic
2024-04-30T03:53:16.850399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
190364.652010662 6
 
1.0%
189647.046752134 5
 
0.9%
210780.126180232 5
 
0.9%
189686.475000033 4
 
0.7%
209083.899741533 4
 
0.7%
205330.313614472 4
 
0.7%
190741.158117503 4
 
0.7%
189965.688330036 4
 
0.7%
198916.653480187 4
 
0.7%
202741.379034107 4
 
0.7%
Other values (385) 511
88.7%
(Missing) 21
 
3.6%
ValueCountFrequency (%)
182941.05762285 1
 
0.2%
183644.168046816 1
 
0.2%
184761.319836477 1
 
0.2%
184819.211223996 2
0.3%
185150.32136415 1
 
0.2%
185699.885252651 1
 
0.2%
185761.054168055 1
 
0.2%
185770.955892733 2
0.3%
185937.652818807 1
 
0.2%
186501.233192961 3
0.5%
ValueCountFrequency (%)
415265.487045081 1
 
0.2%
215423.76462869 2
0.3%
215339.644961398 1
 
0.2%
214890.816154184 1
 
0.2%
214087.23222755 1
 
0.2%
214075.140422558 1
 
0.2%
213667.660686095 1
 
0.2%
213636.934120635 1
 
0.2%
212784.616145219 3
0.5%
212239.908968756 1
 
0.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct395
Distinct (%)71.2%
Missing21
Missing (%)3.6%
Infinite0
Infinite (%)0.0%
Mean445888.3
Minimum226387.31
Maximum464568.78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.2 KiB
2024-04-30T03:53:16.988793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum226387.31
5-th percentile441166.15
Q1442737.4
median445365.5
Q3449394.28
95-th percentile453404.27
Maximum464568.78
Range238181.46
Interquartile range (IQR)6656.8808

Descriptive statistics

Standard deviation10238.756
Coefficient of variation (CV)0.022962602
Kurtosis382.52917
Mean445888.3
Median Absolute Deviation (MAD)2901.3143
Skewness-17.769806
Sum2.4746801 × 108
Variance1.0483212 × 108
MonotonicityNot monotonic
2024-04-30T03:53:17.104504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
447158.946262059 6
 
1.0%
441677.096205358 5
 
0.9%
441730.920486073 5
 
0.9%
440870.092608694 4
 
0.7%
445916.209435271 4
 
0.7%
445725.236017407 4
 
0.7%
442703.311770946 4
 
0.7%
444628.911198986 4
 
0.7%
451694.842893728 4
 
0.7%
443413.449624806 4
 
0.7%
Other values (385) 511
88.7%
(Missing) 21
 
3.6%
ValueCountFrequency (%)
226387.310870846 1
 
0.2%
437914.06299827 1
 
0.2%
438641.653485665 1
 
0.2%
439023.167125842 1
 
0.2%
440222.152896766 3
0.5%
440363.954453659 1
 
0.2%
440422.094963963 2
0.3%
440521.85524888 1
 
0.2%
440523.497478209 1
 
0.2%
440581.535464966 1
 
0.2%
ValueCountFrequency (%)
464568.775185456 1
0.2%
461782.719034388 1
0.2%
459926.107544031 1
0.2%
458960.471391303 1
0.2%
457897.781977757 1
0.2%
457838.088858124 1
0.2%
457686.083686633 1
0.2%
457374.575999081 1
0.2%
456684.944714707 2
0.3%
456584.229367267 1
0.2%

실험실면적
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)22.5%
Missing536
Missing (%)93.1%
Infinite0
Infinite (%)0.0%
Mean857.225
Minimum0
Maximum27054
Zeros32
Zeros (%)5.6%
Negative0
Negative (%)0.0%
Memory size5.2 KiB
2024-04-30T03:53:17.217489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile785.9
Maximum27054
Range27054
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4363.8447
Coefficient of variation (CV)5.0906643
Kurtosis35.671855
Mean857.225
Median Absolute Deviation (MAD)0
Skewness5.8845394
Sum34289
Variance19043140
MonotonicityNot monotonic
2024-04-30T03:53:17.313282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 32
 
5.6%
27054 1
 
0.2%
200 1
 
0.2%
495 1
 
0.2%
66 1
 
0.2%
60 1
 
0.2%
100 1
 
0.2%
6313 1
 
0.2%
1 1
 
0.2%
(Missing) 536
93.1%
ValueCountFrequency (%)
0 32
5.6%
1 1
 
0.2%
60 1
 
0.2%
66 1
 
0.2%
100 1
 
0.2%
200 1
 
0.2%
495 1
 
0.2%
6313 1
 
0.2%
27054 1
 
0.2%
ValueCountFrequency (%)
27054 1
 
0.2%
6313 1
 
0.2%
495 1
 
0.2%
200 1
 
0.2%
100 1
 
0.2%
66 1
 
0.2%
60 1
 
0.2%
1 1
 
0.2%
0 32
5.6%
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
환경전문공사업
353 
<NA>
223 

Length

Max length7
Median length7
Mean length5.8385417
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 (%)
환경전문공사업 353
61.3%
<NA> 223
38.7%

Length

2024-04-30T03:53:17.417774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:53:17.500752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
환경전문공사업 353
61.3%
na 223
38.7%

영업소면적
Real number (ℝ)

MISSING  ZEROS 

Distinct45
Distinct (%)65.2%
Missing507
Missing (%)88.0%
Infinite0
Infinite (%)0.0%
Mean2275.087
Minimum0
Maximum81117
Zeros23
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size5.2 KiB
2024-04-30T03:53:17.612195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median66
Q3198
95-th percentile11057.6
Maximum81117
Range81117
Interquartile range (IQR)198

Descriptive statistics

Standard deviation10552.637
Coefficient of variation (CV)4.6383446
Kurtosis47.581932
Mean2275.087
Median Absolute Deviation (MAD)66
Skewness6.5970799
Sum156981
Variance1.1135815 × 108
MonotonicityNot monotonic
2024-04-30T03:53:17.730048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
0 23
 
4.0%
66 2
 
0.3%
108 2
 
0.3%
13580 1
 
0.2%
38 1
 
0.2%
1590 1
 
0.2%
323 1
 
0.2%
80 1
 
0.2%
82 1
 
0.2%
81117 1
 
0.2%
Other values (35) 35
 
6.1%
(Missing) 507
88.0%
ValueCountFrequency (%)
0 23
4.0%
1 1
 
0.2%
10 1
 
0.2%
28 1
 
0.2%
30 1
 
0.2%
33 1
 
0.2%
35 1
 
0.2%
38 1
 
0.2%
40 1
 
0.2%
50 1
 
0.2%
ValueCountFrequency (%)
81117 1
0.2%
27993 1
0.2%
17966 1
0.2%
13580 1
0.2%
7274 1
0.2%
1590 1
0.2%
953 1
0.2%
892 1
0.2%
678 1
0.2%
449 1
0.2%

위탁업체명
Text

MISSING 

Distinct46
Distinct (%)51.7%
Missing487
Missing (%)84.5%
Memory size4.6 KiB
2024-04-30T03:53:17.918520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length18
Mean length9.0449438
Min length4

Characters and Unicode

Total characters805
Distinct characters106
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique31 ?
Unique (%)34.8%

Sample

1st row(주)진덕환경 엔지니어링
2nd row(주)원일환경안전연구원
3rd row(주)선일이엔씨
4th row(주)대명환경기술연구소
5th row(주)하이텍환경
ValueCountFrequency (%)
주)청룡환경 12
 
11.5%
주)청명기연환경 11
 
10.6%
이전 8
 
7.7%
청룡환경 5
 
4.8%
주)산업공해연구소 5
 
4.8%
유앤아이환경기술(주 4
 
3.8%
강동구로 3
 
2.9%
용산구로 3
 
2.9%
이중등록 3
 
2.9%
주)대명환경기술연구소 3
 
2.9%
Other values (41) 47
45.2%
2024-04-30T03:53:18.250740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
) 70
 
8.7%
( 69
 
8.6%
68
 
8.4%
66
 
8.2%
65
 
8.1%
32
 
4.0%
28
 
3.5%
25
 
3.1%
24
 
3.0%
22
 
2.7%
Other values (96) 336
41.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 644
80.0%
Close Punctuation 70
 
8.7%
Open Punctuation 69
 
8.6%
Space Separator 15
 
1.9%
Uppercase Letter 4
 
0.5%
Other Punctuation 1
 
0.1%
Decimal Number 1
 
0.1%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
68
 
10.6%
66
 
10.2%
65
 
10.1%
32
 
5.0%
28
 
4.3%
25
 
3.9%
24
 
3.7%
22
 
3.4%
18
 
2.8%
16
 
2.5%
Other values (87) 280
43.5%
Uppercase Letter
ValueCountFrequency (%)
I 2
50.0%
F 1
25.0%
T 1
25.0%
Close Punctuation
ValueCountFrequency (%)
) 70
100.0%
Open Punctuation
ValueCountFrequency (%)
( 69
100.0%
Space Separator
ValueCountFrequency (%)
15
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 644
80.0%
Common 157
 
19.5%
Latin 4
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
68
 
10.6%
66
 
10.2%
65
 
10.1%
32
 
5.0%
28
 
4.3%
25
 
3.9%
24
 
3.7%
22
 
3.4%
18
 
2.8%
16
 
2.5%
Other values (87) 280
43.5%
Common
ValueCountFrequency (%)
) 70
44.6%
( 69
43.9%
15
 
9.6%
, 1
 
0.6%
2 1
 
0.6%
- 1
 
0.6%
Latin
ValueCountFrequency (%)
I 2
50.0%
F 1
25.0%
T 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 644
80.0%
ASCII 161
 
20.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
) 70
43.5%
( 69
42.9%
15
 
9.3%
I 2
 
1.2%
, 1
 
0.6%
F 1
 
0.6%
2 1
 
0.6%
T 1
 
0.6%
- 1
 
0.6%
Hangul
ValueCountFrequency (%)
68
 
10.6%
66
 
10.2%
65
 
10.1%
32
 
5.0%
28
 
4.3%
25
 
3.9%
24
 
3.7%
22
 
3.4%
18
 
2.8%
16
 
2.5%
Other values (87) 280
43.5%

실험실지역코드
Real number (ℝ)

MISSING 

Distinct54
Distinct (%)38.8%
Missing437
Missing (%)75.9%
Infinite0
Infinite (%)0.0%
Mean1.5910094 × 109
Minimum1.1110114 × 109
Maximum4.8330102 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.2 KiB
2024-04-30T03:53:18.383414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.1110114 × 109
5-th percentile1.1257103 × 109
Q11.1545101 × 109
median1.1560127 × 109
Q31.1710105 × 109
95-th percentile4.1273107 × 109
Maximum4.8330102 × 109
Range3.7219988 × 109
Interquartile range (IQR)16500400

Descriptive statistics

Standard deviation1.0481169 × 109
Coefficient of variation (CV)0.65877479
Kurtosis2.347207
Mean1.5910094 × 109
Median Absolute Deviation (MAD)8998100
Skewness2.0524756
Sum2.211503 × 1011
Variance1.098549 × 1018
MonotonicityNot monotonic
2024-04-30T03:53:18.524487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1153010200 16
 
2.8%
1171010500 16
 
2.8%
1154510100 16
 
2.8%
1168010100 6
 
1.0%
1156011000 6
 
1.0%
1156012700 4
 
0.7%
1165010800 4
 
0.7%
1171011100 3
 
0.5%
1168010500 3
 
0.5%
4127310100 3
 
0.5%
Other values (44) 62
 
10.8%
(Missing) 437
75.9%
ValueCountFrequency (%)
1111011400 1
 
0.2%
1111013200 1
 
0.2%
1111017900 1
 
0.2%
1123010200 1
 
0.2%
1123010500 3
0.5%
1126010300 2
0.3%
1126010600 2
0.3%
1144010200 1
 
0.2%
1144010400 1
 
0.2%
1144012700 1
 
0.2%
ValueCountFrequency (%)
4833010200 1
 
0.2%
4159011600 1
 
0.2%
4146310700 1
 
0.2%
4141010200 1
 
0.2%
4139013200 1
 
0.2%
4127310700 3
0.5%
4127310100 3
0.5%
4121010200 1
 
0.2%
4121010100 1
 
0.2%
4117310400 2
0.3%

실험실우편번호
Real number (ℝ)

MISSING 

Distinct66
Distinct (%)69.5%
Missing481
Missing (%)83.5%
Infinite0
Infinite (%)0.0%
Mean183735.56
Minimum110092
Maximum626010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.2 KiB
2024-04-30T03:53:18.679276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum110092
5-th percentile127402
Q1136506.5
median150010
Q3152848
95-th percentile430170.1
Maximum626010
Range515918
Interquartile range (IQR)16341.5

Descriptive statistics

Standard deviation106844.07
Coefficient of variation (CV)0.58151001
Kurtosis4.1533133
Mean183735.56
Median Absolute Deviation (MAD)11176
Skewness2.3142721
Sum17454878
Variance1.1415654 × 1010
MonotonicityNot monotonic
2024-04-30T03:53:18.793434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
153782 5
 
0.9%
150010 4
 
0.7%
152848 4
 
0.7%
138845 3
 
0.5%
138190 3
 
0.5%
135881 3
 
0.5%
152766 3
 
0.5%
138844 2
 
0.3%
138834 2
 
0.3%
150104 2
 
0.3%
Other values (56) 64
 
11.1%
(Missing) 481
83.5%
ValueCountFrequency (%)
110092 1
0.2%
110350 1
0.2%
121020 1
0.2%
121040 1
0.2%
121270 1
0.2%
130030 1
0.2%
130805 2
0.3%
130824 1
0.2%
131866 1
0.2%
131881 1
0.2%
ValueCountFrequency (%)
626010 1
0.2%
462807 1
0.2%
443823 1
0.2%
435776 1
0.2%
431848 1
0.2%
429451 1
0.2%
425809 1
0.2%
425080 2
0.3%
425020 1
0.2%
423812 1
0.2%

실험실산
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
<NA>
437 
1
139 

Length

Max length4
Median length4
Mean length3.2760417
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> 437
75.9%
1 139
 
24.1%

Length

2024-04-30T03:53:18.897884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:53:18.979073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 437
75.9%
1 139
 
24.1%

실험실번지
Real number (ℝ)

MISSING 

Distinct91
Distinct (%)69.5%
Missing445
Missing (%)77.3%
Infinite0
Infinite (%)0.0%
Mean451.87786
Minimum1
Maximum4403
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.2 KiB
2024-04-30T03:53:19.074298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile15
Q1190.5
median294
Q3584
95-th percentile1303
Maximum4403
Range4402
Interquartile range (IQR)393.5

Descriptive statistics

Standard deviation517.76951
Coefficient of variation (CV)1.1458174
Kurtosis25.750261
Mean451.87786
Median Absolute Deviation (MAD)173
Skewness4.0072061
Sum59196
Variance268085.26
MonotonicityNot monotonic
2024-04-30T03:53:19.207974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
197 11
 
1.9%
235 7
 
1.2%
345 5
 
0.9%
160 3
 
0.5%
1 3
 
0.5%
156 3
 
0.5%
727 3
 
0.5%
497 3
 
0.5%
371 2
 
0.3%
481 2
 
0.3%
Other values (81) 89
 
15.5%
(Missing) 445
77.3%
ValueCountFrequency (%)
1 3
0.5%
7 1
 
0.2%
11 1
 
0.2%
13 1
 
0.2%
14 1
 
0.2%
16 1
 
0.2%
18 1
 
0.2%
20 1
 
0.2%
32 1
 
0.2%
43 1
 
0.2%
ValueCountFrequency (%)
4403 1
0.2%
1882 1
0.2%
1637 1
0.2%
1596 1
0.2%
1580 1
0.2%
1364 2
0.3%
1242 1
0.2%
1230 1
0.2%
1095 1
0.2%
1094 1
0.2%

실험실호
Real number (ℝ)

MISSING 

Distinct36
Distinct (%)34.3%
Missing471
Missing (%)81.8%
Infinite0
Infinite (%)0.0%
Mean19.72381
Minimum1
Maximum168
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.2 KiB
2024-04-30T03:53:19.324662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median11
Q328
95-th percentile66
Maximum168
Range167
Interquartile range (IQR)24

Descriptive statistics

Standard deviation24.140811
Coefficient of variation (CV)1.2239426
Kurtosis13.692358
Mean19.72381
Median Absolute Deviation (MAD)9
Skewness3.0223191
Sum2071
Variance582.77875
MonotonicityNot monotonic
2024-04-30T03:53:19.438058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
5 12
 
2.1%
3 9
 
1.6%
2 8
 
1.4%
18 8
 
1.4%
1 7
 
1.2%
22 7
 
1.2%
30 5
 
0.9%
7 5
 
0.9%
11 4
 
0.7%
4 3
 
0.5%
Other values (26) 37
 
6.4%
(Missing) 471
81.8%
ValueCountFrequency (%)
1 7
1.2%
2 8
1.4%
3 9
1.6%
4 3
 
0.5%
5 12
2.1%
6 2
 
0.3%
7 5
0.9%
8 1
 
0.2%
9 1
 
0.2%
10 2
 
0.3%
ValueCountFrequency (%)
168 1
 
0.2%
92 1
 
0.2%
81 1
 
0.2%
80 1
 
0.2%
66 3
0.5%
58 1
 
0.2%
47 2
0.3%
42 2
0.3%
40 2
0.3%
37 1
 
0.2%

실험실통
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing576
Missing (%)100.0%
Memory size5.2 KiB

실험실반
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing576
Missing (%)100.0%
Memory size5.2 KiB

실험실특수주소
Text

MISSING 

Distinct68
Distinct (%)81.9%
Missing493
Missing (%)85.6%
Memory size4.6 KiB
2024-04-30T03:53:19.667229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length13
Mean length8.7108434
Min length2

Characters and Unicode

Total characters723
Distinct characters161
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique60 ?
Unique (%)72.3%

Sample

1st row중화동주상복합
2nd row에이스타워2차
3rd row덕성빌딩6층
4th row우림e-BIZ센터
5th row삼호물산B빌딩
ValueCountFrequency (%)
2층 7
 
5.6%
10층 5
 
4.0%
5층 5
 
4.0%
남성프라자(에이스9차 5
 
4.0%
4층 5
 
4.0%
세광빌딩 3
 
2.4%
에이스테크노5차 3
 
2.4%
209호 3
 
2.4%
에이스테크노타워10차 2
 
1.6%
11층 2
 
1.6%
Other values (82) 86
68.3%
2024-04-30T03:53:20.250411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
44
 
6.1%
1 30
 
4.1%
29
 
4.0%
28
 
3.9%
23
 
3.2%
23
 
3.2%
0 21
 
2.9%
20
 
2.8%
18
 
2.5%
18
 
2.5%
Other values (151) 469
64.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 514
71.1%
Decimal Number 118
 
16.3%
Space Separator 44
 
6.1%
Uppercase Letter 18
 
2.5%
Open Punctuation 12
 
1.7%
Close Punctuation 12
 
1.7%
Dash Punctuation 2
 
0.3%
Other Punctuation 1
 
0.1%
Other Symbol 1
 
0.1%
Lowercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
29
 
5.6%
28
 
5.4%
23
 
4.5%
23
 
4.5%
20
 
3.9%
18
 
3.5%
18
 
3.5%
17
 
3.3%
14
 
2.7%
13
 
2.5%
Other values (123) 311
60.5%
Uppercase Letter
ValueCountFrequency (%)
B 3
16.7%
I 3
16.7%
G 2
11.1%
L 2
11.1%
T 2
11.1%
C 1
 
5.6%
M 1
 
5.6%
D 1
 
5.6%
K 1
 
5.6%
S 1
 
5.6%
Decimal Number
ValueCountFrequency (%)
1 30
25.4%
0 21
17.8%
2 18
15.3%
5 15
12.7%
4 13
11.0%
9 9
 
7.6%
3 6
 
5.1%
6 3
 
2.5%
8 2
 
1.7%
7 1
 
0.8%
Space Separator
ValueCountFrequency (%)
44
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 515
71.2%
Common 189
 
26.1%
Latin 19
 
2.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
29
 
5.6%
28
 
5.4%
23
 
4.5%
23
 
4.5%
20
 
3.9%
18
 
3.5%
18
 
3.5%
17
 
3.3%
14
 
2.7%
13
 
2.5%
Other values (124) 312
60.6%
Common
ValueCountFrequency (%)
44
23.3%
1 30
15.9%
0 21
11.1%
2 18
9.5%
5 15
 
7.9%
4 13
 
6.9%
( 12
 
6.3%
) 12
 
6.3%
9 9
 
4.8%
3 6
 
3.2%
Other values (5) 9
 
4.8%
Latin
ValueCountFrequency (%)
B 3
15.8%
I 3
15.8%
G 2
10.5%
L 2
10.5%
T 2
10.5%
C 1
 
5.3%
M 1
 
5.3%
D 1
 
5.3%
K 1
 
5.3%
S 1
 
5.3%
Other values (2) 2
10.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 514
71.1%
ASCII 208
28.8%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
44
21.2%
1 30
14.4%
0 21
10.1%
2 18
8.7%
5 15
 
7.2%
4 13
 
6.2%
( 12
 
5.8%
) 12
 
5.8%
9 9
 
4.3%
3 6
 
2.9%
Other values (17) 28
13.5%
Hangul
ValueCountFrequency (%)
29
 
5.6%
28
 
5.4%
23
 
4.5%
23
 
4.5%
20
 
3.9%
18
 
3.5%
18
 
3.5%
17
 
3.3%
14
 
2.7%
13
 
2.5%
Other values (123) 311
60.5%
None
ValueCountFrequency (%)
1
100.0%
Distinct5
Distinct (%)100.0%
Missing571
Missing (%)99.1%
Memory size4.6 KiB
2024-04-30T03:53:20.386143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length2
Mean length2
Min length1

Characters and Unicode

Total characters10
Distinct characters8
Distinct categories3 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row102
2nd rowA
3rd row제에이
4th row21
5th rowB
ValueCountFrequency (%)
102 1
20.0%
a 1
20.0%
제에이 1
20.0%
21 1
20.0%
b 1
20.0%
2024-04-30T03:53:20.657342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 2
20.0%
2 2
20.0%
0 1
10.0%
A 1
10.0%
1
10.0%
1
10.0%
1
10.0%
B 1
10.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5
50.0%
Other Letter 3
30.0%
Uppercase Letter 2
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 2
40.0%
2 2
40.0%
0 1
20.0%
Other Letter
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%
Uppercase Letter
ValueCountFrequency (%)
A 1
50.0%
B 1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5
50.0%
Hangul 3
30.0%
Latin 2
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 2
40.0%
2 2
40.0%
0 1
20.0%
Hangul
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%
Latin
ValueCountFrequency (%)
A 1
50.0%
B 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7
70.0%
Hangul 3
30.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 2
28.6%
2 2
28.6%
0 1
14.3%
A 1
14.3%
B 1
14.3%
Hangul
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%
Distinct17
Distinct (%)94.4%
Missing558
Missing (%)96.9%
Memory size4.6 KiB
2024-04-30T03:53:20.796743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length3
Mean length3.5555556
Min length3

Characters and Unicode

Total characters64
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

Unique16 ?
Unique (%)88.9%

Sample

1st row401
2nd row904
3rd row404
4th row904
5th row307
ValueCountFrequency (%)
904 2
 
11.1%
515 1
 
5.6%
1408 1
 
5.6%
314 1
 
5.6%
2408 1
 
5.6%
709 1
 
5.6%
109 1
 
5.6%
1101 1
 
5.6%
301 1
 
5.6%
404 1
 
5.6%
Other values (7) 7
38.9%
2024-04-30T03:53:21.040375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 16
25.0%
1 14
21.9%
4 8
12.5%
9 6
 
9.4%
3 6
 
9.4%
7 4
 
6.2%
8 3
 
4.7%
5 3
 
4.7%
2 2
 
3.1%
6 1
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 63
98.4%
Math Symbol 1
 
1.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 16
25.4%
1 14
22.2%
4 8
12.7%
9 6
 
9.5%
3 6
 
9.5%
7 4
 
6.3%
8 3
 
4.8%
5 3
 
4.8%
2 2
 
3.2%
6 1
 
1.6%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 64
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 16
25.0%
1 14
21.9%
4 8
12.5%
9 6
 
9.4%
3 6
 
9.4%
7 4
 
6.2%
8 3
 
4.7%
5 3
 
4.7%
2 2
 
3.1%
6 1
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 64
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 16
25.0%
1 14
21.9%
4 8
12.5%
9 6
 
9.4%
3 6
 
9.4%
7 4
 
6.2%
8 3
 
4.7%
5 3
 
4.7%
2 2
 
3.1%
6 1
 
1.6%

실험실도로명주소시군구코드
Real number (ℝ)

MISSING 

Distinct26
Distinct (%)19.0%
Missing439
Missing (%)76.2%
Infinite0
Infinite (%)0.0%
Mean15970.314
Minimum11110
Maximum48330
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.2 KiB
2024-04-30T03:53:21.147320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11110
5-th percentile11230
Q111545
median11560
Q311710
95-th percentile41273
Maximum48330
Range37220
Interquartile range (IQR)165

Descriptive statistics

Standard deviation10545.963
Coefficient of variation (CV)0.66034786
Kurtosis2.2471451
Mean15970.314
Median Absolute Deviation (MAD)120
Skewness2.0284059
Sum2187933
Variance1.1121733 × 108
MonotonicityNot monotonic
2024-04-30T03:53:21.261011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
11560 26
 
4.5%
11710 19
 
3.3%
11545 18
 
3.1%
11530 15
 
2.6%
11680 13
 
2.3%
41273 6
 
1.0%
11650 5
 
0.9%
11230 4
 
0.7%
11260 4
 
0.7%
11440 4
 
0.7%
Other values (16) 23
 
4.0%
(Missing) 439
76.2%
ValueCountFrequency (%)
11110 3
 
0.5%
11200 1
 
0.2%
11230 4
 
0.7%
11260 4
 
0.7%
11440 4
 
0.7%
11500 1
 
0.2%
11530 15
2.6%
11545 18
3.1%
11560 26
4.5%
11590 2
 
0.3%
ValueCountFrequency (%)
48330 1
 
0.2%
41590 1
 
0.2%
41463 1
 
0.2%
41410 1
 
0.2%
41390 1
 
0.2%
41273 6
1.0%
41210 2
 
0.3%
41173 2
 
0.3%
41133 2
 
0.3%
41117 1
 
0.2%

실험실도로명주소읍면동코드
Real number (ℝ)

MISSING 

Distinct57
Distinct (%)41.6%
Missing439
Missing (%)76.2%
Infinite0
Infinite (%)0.0%
Mean1.5970422 × 109
Minimum1.1110114 × 109
Maximum4.8330102 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.2 KiB
2024-04-30T03:53:21.377143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.1110114 × 109
5-th percentile1.1230105 × 109
Q11.1545101 × 109
median1.1560127 × 109
Q31.1710105 × 109
95-th percentile4.1273107 × 109
Maximum4.8330102 × 109
Range3.7219988 × 109
Interquartile range (IQR)16500400

Descriptive statistics

Standard deviation1.0545962 × 109
Coefficient of variation (CV)0.66034333
Kurtosis2.2471452
Mean1.5970422 × 109
Median Absolute Deviation (MAD)11997400
Skewness2.0284059
Sum2.1879479 × 1011
Variance1.1121731 × 1018
MonotonicityNot monotonic
2024-04-30T03:53:21.522225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1171010500 15
 
2.6%
1154510100 15
 
2.6%
1153010200 14
 
2.4%
1156011000 7
 
1.2%
1168010100 6
 
1.0%
1165010800 4
 
0.7%
1171011100 4
 
0.7%
1156012700 4
 
0.7%
1123010500 3
 
0.5%
4127310100 3
 
0.5%
Other values (47) 62
 
10.8%
(Missing) 439
76.2%
ValueCountFrequency (%)
1111011400 1
 
0.2%
1111013200 1
 
0.2%
1111017900 1
 
0.2%
1120011500 1
 
0.2%
1123010200 1
 
0.2%
1123010500 3
0.5%
1126010300 2
0.3%
1126010600 2
0.3%
1144010200 1
 
0.2%
1144010400 1
 
0.2%
ValueCountFrequency (%)
4833010200 1
 
0.2%
4159011600 1
 
0.2%
4146310700 1
 
0.2%
4141010200 1
 
0.2%
4139013200 1
 
0.2%
4127310700 3
0.5%
4127310100 3
0.5%
4121010200 1
 
0.2%
4121010100 1
 
0.2%
4117310400 2
0.3%
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
<NA>
439 
1
137 

Length

Max length4
Median length4
Mean length3.2864583
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> 439
76.2%
1 137
 
23.8%

Length

2024-04-30T03:53:21.663953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:53:21.742307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 439
76.2%
1 137
 
23.8%

실험실도로명주소코드
Real number (ℝ)

MISSING 

Distinct90
Distinct (%)65.7%
Missing439
Missing (%)76.2%
Infinite0
Infinite (%)0.0%
Mean3523455.6
Minimum2000008
Maximum4430562
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.2 KiB
2024-04-30T03:53:21.842062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2000008
5-th percentile2117001
Q13117001
median3191107
Q34163036
95-th percentile4326521.8
Maximum4430562
Range2430554
Interquartile range (IQR)1046035

Descriptive statistics

Standard deviation690936.15
Coefficient of variation (CV)0.19609617
Kurtosis-0.7021413
Mean3523455.6
Median Absolute Deviation (MAD)957228
Skewness-0.52189024
Sum4.8271342 × 108
Variance4.7739277 × 1011
MonotonicityNot monotonic
2024-04-30T03:53:21.966663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4148335 10
 
1.7%
4169186 8
 
1.4%
3000026 6
 
1.0%
3117001 6
 
1.0%
4169450 3
 
0.5%
2122002 3
 
0.5%
4169244 3
 
0.5%
2000008 3
 
0.5%
3191004 3
 
0.5%
3000028 3
 
0.5%
Other values (80) 89
 
15.5%
(Missing) 439
76.2%
ValueCountFrequency (%)
2000008 3
0.5%
2005008 2
 
0.3%
2005010 1
 
0.2%
2113001 1
 
0.2%
2118001 1
 
0.2%
2122002 3
0.5%
2179001 1
 
0.2%
3000002 1
 
0.2%
3000023 1
 
0.2%
3000026 6
1.0%
ValueCountFrequency (%)
4430562 1
 
0.2%
4400172 1
 
0.2%
4361034 1
 
0.2%
4349163 2
0.3%
4337206 1
 
0.2%
4331053 1
 
0.2%
4325389 1
 
0.2%
4169450 3
0.5%
4169244 3
0.5%
4169192 2
0.3%
Distinct116
Distinct (%)84.7%
Missing439
Missing (%)76.2%
Memory size4.6 KiB
2024-04-30T03:53:22.252126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length25
Mean length12.693431
Min length5

Characters and Unicode

Total characters1739
Distinct characters193
Distinct categories11 ?
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 (%)76.6%

Sample

1st row(내자동)
2nd row(성수동2가)
3rd row218호 (중화동, 중화동주상복합)
4th row2층 (연남동)
5th row (신내동,덕성빌딩6층)
ValueCountFrequency (%)
석촌동 11
 
4.5%
가산동 11
 
4.5%
구로동 10
 
4.0%
2층 5
 
2.0%
10층 5
 
2.0%
가산동,남성프라자(에이스9차 4
 
1.6%
3층 4
 
1.6%
4층 4
 
1.6%
5층 4
 
1.6%
b동 3
 
1.2%
Other values (158) 186
75.3%
2024-04-30T03:53:22.657177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
155
 
8.9%
( 147
 
8.5%
) 147
 
8.5%
146
 
8.4%
, 74
 
4.3%
1 52
 
3.0%
0 45
 
2.6%
40
 
2.3%
34
 
2.0%
33
 
1.9%
Other values (183) 866
49.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 960
55.2%
Decimal Number 230
 
13.2%
Space Separator 155
 
8.9%
Open Punctuation 147
 
8.5%
Close Punctuation 147
 
8.5%
Other Punctuation 74
 
4.3%
Uppercase Letter 18
 
1.0%
Dash Punctuation 3
 
0.2%
Lowercase Letter 3
 
0.2%
Other Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
146
 
15.2%
40
 
4.2%
34
 
3.5%
33
 
3.4%
25
 
2.6%
25
 
2.6%
23
 
2.4%
21
 
2.2%
21
 
2.2%
17
 
1.8%
Other values (153) 575
59.9%
Decimal Number
ValueCountFrequency (%)
1 52
22.6%
0 45
19.6%
2 30
13.0%
4 26
11.3%
3 26
11.3%
5 17
 
7.4%
9 16
 
7.0%
6 7
 
3.0%
8 6
 
2.6%
7 5
 
2.2%
Uppercase Letter
ValueCountFrequency (%)
B 4
22.2%
I 3
16.7%
G 2
11.1%
L 2
11.1%
T 2
11.1%
A 1
 
5.6%
C 1
 
5.6%
M 1
 
5.6%
D 1
 
5.6%
Z 1
 
5.6%
Lowercase Letter
ValueCountFrequency (%)
k 1
33.3%
s 1
33.3%
e 1
33.3%
Space Separator
ValueCountFrequency (%)
155
100.0%
Open Punctuation
ValueCountFrequency (%)
( 147
100.0%
Close Punctuation
ValueCountFrequency (%)
) 147
100.0%
Other Punctuation
ValueCountFrequency (%)
, 74
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 961
55.3%
Common 757
43.5%
Latin 21
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
146
 
15.2%
40
 
4.2%
34
 
3.5%
33
 
3.4%
25
 
2.6%
25
 
2.6%
23
 
2.4%
21
 
2.2%
21
 
2.2%
17
 
1.8%
Other values (154) 576
59.9%
Common
ValueCountFrequency (%)
155
20.5%
( 147
19.4%
) 147
19.4%
, 74
9.8%
1 52
 
6.9%
0 45
 
5.9%
2 30
 
4.0%
4 26
 
3.4%
3 26
 
3.4%
5 17
 
2.2%
Other values (6) 38
 
5.0%
Latin
ValueCountFrequency (%)
B 4
19.0%
I 3
14.3%
G 2
9.5%
L 2
9.5%
T 2
9.5%
A 1
 
4.8%
C 1
 
4.8%
M 1
 
4.8%
D 1
 
4.8%
k 1
 
4.8%
Other values (3) 3
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 960
55.2%
ASCII 778
44.7%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
155
19.9%
( 147
18.9%
) 147
18.9%
, 74
9.5%
1 52
 
6.7%
0 45
 
5.8%
2 30
 
3.9%
4 26
 
3.3%
3 26
 
3.3%
5 17
 
2.2%
Other values (19) 59
 
7.6%
Hangul
ValueCountFrequency (%)
146
 
15.2%
40
 
4.2%
34
 
3.5%
33
 
3.4%
25
 
2.6%
25
 
2.6%
23
 
2.4%
21
 
2.2%
21
 
2.2%
17
 
1.8%
Other values (153) 575
59.9%
None
ValueCountFrequency (%)
1
100.0%
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
<NA>
439 
0
137 

Length

Max length4
Median length4
Mean length3.2864583
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> 439
76.2%
0 137
 
23.8%

Length

2024-04-30T03:53:22.791103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:53:22.881221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 439
76.2%
0 137
 
23.8%

실험실도로명주소건물본번호
Real number (ℝ)

MISSING 

Distinct83
Distinct (%)60.6%
Missing439
Missing (%)76.2%
Infinite0
Infinite (%)0.0%
Mean118.75912
Minimum1
Maximum780
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.2 KiB
2024-04-30T03:53:22.971740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10.4
Q116
median50
Q3150
95-th percentile521.8
Maximum780
Range779
Interquartile range (IQR)134

Descriptive statistics

Standard deviation159.86716
Coefficient of variation (CV)1.3461463
Kurtosis4.8433995
Mean118.75912
Median Absolute Deviation (MAD)38
Skewness2.1898066
Sum16270
Variance25557.508
MonotonicityNot monotonic
2024-04-30T03:53:23.133739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12 11
 
1.9%
20 8
 
1.4%
11 6
 
1.0%
130 5
 
0.9%
16 5
 
0.9%
14 5
 
0.9%
99 4
 
0.7%
19 3
 
0.5%
520 3
 
0.5%
23 3
 
0.5%
Other values (73) 84
 
14.6%
(Missing) 439
76.2%
ValueCountFrequency (%)
1 1
 
0.2%
2 1
 
0.2%
3 1
 
0.2%
4 1
 
0.2%
5 1
 
0.2%
8 2
 
0.3%
11 6
1.0%
12 11
1.9%
14 5
0.9%
15 2
 
0.3%
ValueCountFrequency (%)
780 1
 
0.2%
775 1
 
0.2%
625 1
 
0.2%
576 1
 
0.2%
541 1
 
0.2%
531 1
 
0.2%
529 1
 
0.2%
520 3
0.5%
352 1
 
0.2%
347 1
 
0.2%

실험실도로명주소건물부번호
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)40.0%
Missing561
Missing (%)97.4%
Infinite0
Infinite (%)0.0%
Mean10.533333
Minimum1
Maximum39
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.2 KiB
2024-04-30T03:53:23.259197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q314.5
95-th percentile39
Maximum39
Range38
Interquartile range (IQR)13.5

Descriptive statistics

Standard deviation13.298049
Coefficient of variation (CV)1.262473
Kurtosis1.1068533
Mean10.533333
Median Absolute Deviation (MAD)1
Skewness1.4269402
Sum158
Variance176.8381
MonotonicityNot monotonic
2024-04-30T03:53:23.377052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 7
 
1.2%
11 3
 
0.5%
39 2
 
0.3%
2 1
 
0.2%
20 1
 
0.2%
18 1
 
0.2%
(Missing) 561
97.4%
ValueCountFrequency (%)
1 7
1.2%
2 1
 
0.2%
11 3
0.5%
18 1
 
0.2%
20 1
 
0.2%
39 2
 
0.3%
ValueCountFrequency (%)
39 2
 
0.3%
20 1
 
0.2%
18 1
 
0.2%
11 3
0.5%
2 1
 
0.2%
1 7
1.2%

실험실도로명주소우편번호
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)94.7%
Missing557
Missing (%)96.7%
Infinite0
Infinite (%)0.0%
Mean99336.579
Minimum2069
Maximum435776
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.2 KiB
2024-04-30T03:53:23.531497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2069
5-th percentile2111.3
Q110902.5
median110742
Q3150010
95-th percentile181067
Maximum435776
Range433707
Interquartile range (IQR)139107.5

Descriptive statistics

Standard deviation104124.02
Coefficient of variation (CV)1.0481941
Kurtosis5.265163
Mean99336.579
Median Absolute Deviation (MAD)42024
Skewness1.8163271
Sum1887395
Variance1.0841811 × 1010
MonotonicityNot monotonic
2024-04-30T03:53:23.706033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
150010 2
 
0.3%
152766 1
 
0.2%
13216 1
 
0.2%
138845 1
 
0.2%
151015 1
 
0.2%
7375 1
 
0.2%
8510 1
 
0.2%
15436 1
 
0.2%
2116 1
 
0.2%
2069 1
 
0.2%
Other values (8) 8
 
1.4%
(Missing) 557
96.7%
ValueCountFrequency (%)
2069 1
0.2%
2116 1
0.2%
7375 1
0.2%
8510 1
0.2%
8589 1
0.2%
13216 1
0.2%
15436 1
0.2%
18392 1
0.2%
110092 1
0.2%
110742 1
0.2%
ValueCountFrequency (%)
435776 1
0.2%
152766 1
0.2%
151015 1
0.2%
150810 1
0.2%
150010 2
0.3%
138845 1
0.2%
130824 1
0.2%
130802 1
0.2%
110742 1
0.2%
110092 1
0.2%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)실험실면적사업장구분명영업소면적위탁업체명실험실지역코드실험실우편번호실험실산실험실번지실험실호실험실통실험실반실험실특수주소실험실특수주소동실험실특수주소호실험실도로명주소시군구코드실험실도로명주소읍면동코드실험실도로명주소읍면동구분실험실도로명주소코드실험실도로명특수주소실험실도로명주소건물층구분실험실도로명주소건물본번호실험실도로명주소건물부번호실험실도로명주소우편번호
031800003180000672010000032010-03-23<NA>3폐업2폐업2023-02-28<NA><NA><NA>0226362662<NA><NA>서울특별시 영등포구 영등포동8가 92 케이앤케이디지털타워 810호<NA><NA>아태수기엔지니어링(주)2023-02-28 17:28:57U2022-12-03 00:03:00.0<NA>191457.663413447179.850507<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
131600003160000672023000012023-03-03<NA>1영업/정상BBBB영업<NA><NA><NA><NA>02-866-3639<NA><NA>서울특별시 구로구 구로동 197-28 이앤씨벤처드림타워6차 511-1호서울특별시 구로구 디지털로31길 41, 이앤씨벤처드림타워6차 5층 511-1호 (구로동)08375(주)우림환경엔지니어링2023-03-03 16:57:20I2022-12-03 00:05:00.0<NA>190447.248668442558.310756<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
231600003160000672023000022023-03-03<NA>1영업/정상BBBB영업<NA><NA><NA><NA>02-866-3639<NA><NA>서울특별시 구로구 구로동 197-28 이앤씨벤처드림타워6차 511-1호서울특별시 구로구 디지털로31길 41, 이앤씨벤처드림타워6차 5층 511-1호 (구로동)08375(주)우림환경엔지니어링2023-05-04 10:56:58U2022-12-05 00:07:00.0<NA>190447.248668442558.310756<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
331700003170000672024000012024-03-18<NA>1영업/정상BBBB영업<NA><NA><NA><NA>02-866-3639<NA><NA>서울특별시 금천구 가산동 60-26 B동 723호서울특별시 금천구 디지털로 178, B동 723호 (가산동)08513주식회사 우림환경엔지니어링2024-03-19 15:31:26I2023-12-02 22:01:00.0<NA>189930.507904441616.46071<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
430100003010000672018000042018-11-08<NA>1영업/정상BBBB영업<NA><NA><NA><NA>02-6410-0325<NA><NA>서울특별시 중구 다동 155 센터플레이스(Center Place) 5층서울특별시 중구 남대문로9길 40, 센터플레이스(Center Place) 5층 (다동)04522자이에너지운영(주)2023-03-16 09:32:03U2022-12-02 23:08:00.0<NA>198193.534402451650.955791<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
531700003170000671993000021993-07-15<NA>1영업/정상BBBB영업<NA><NA><NA><NA>0221132300<NA><NA>서울특별시 금천구 가산동 481-10 벽산경인디지털밸리2 918호서울특별시 금천구 가산디지털2로 184, 918호 (가산동, 벽산디지털밸리2차)153-783(주)가야환경2023-04-06 16:26:34U2022-12-04 00:08:00.0<NA>189127.981105442460.505542<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
632200003220000672010000432010-05-19<NA>1영업/정상BBBB영업<NA><NA><NA><NA>5399951<NA><NA>서울특별시 강남구 역삼동 723-17 삼영빌딩 4층서울특별시 강남구 언주로85길 23-12 (역삼동,삼영빌딩 4층)<NA>비아ENG2023-04-13 10:56:38U2022-12-03 23:05:00.0<NA>203600.700886444205.456963<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
731700003170000672019000042019-12-04<NA>1영업/정상BBBB영업<NA><NA><NA><NA>02-811-3696<NA><NA>서울특별시 금천구 가산동 371-37 에스티엑스브이타워서울특별시 금천구 가산디지털1로 128, 에스티엑스브이타워 511호 (가산동)08507(주)에코이엔티2023-04-14 11:14:01U2022-12-03 23:06:00.0환경상담 및 관련 엔지니어링 서비스업189647.046752441677.096205<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
831500003150000672021000012021-10-12<NA>1영업/정상BBBB영업<NA><NA><NA><NA>2106-8025<NA><NA>서울특별시 강서구 마곡동 785-5서울특별시 강서구 마곡중앙8로7길 39 (마곡동)07792디와이피엔에프(주)2023-04-25 13:07:24U2022-12-03 22:07:00.0환경설비 건설업185699.885253451360.369824<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
931500003150000672019000032019-11-05<NA>1영업/정상BBBB영업<NA><NA><NA><NA>3662-2561<NA><NA>서울특별시 강서구 등촌동 678-13서울특별시 강서구 강서로 392-11, 진성프라자 7층 702호 (등촌동)07583(주)협동엔지니어링2023-05-17 08:50:21U2022-12-04 23:09:00.0<NA>185770.955893450956.362947<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)실험실면적사업장구분명영업소면적위탁업체명실험실지역코드실험실우편번호실험실산실험실번지실험실호실험실통실험실반실험실특수주소실험실특수주소동실험실특수주소호실험실도로명주소시군구코드실험실도로명주소읍면동코드실험실도로명주소읍면동구분실험실도로명주소코드실험실도로명특수주소실험실도로명주소건물층구분실험실도로명주소건물본번호실험실도로명주소건물부번호실험실도로명주소우편번호
56631300003130000671978000021978-08-14<NA>1영업/정상BBBB영업<NA><NA><NA><NA>02-320-6114<NA><NA>서울특별시 마포구 상암동 1647서울특별시 마포구 상암산로 34, 12층 (상암동)03909KC코트렐(주)2023-11-15 13:24:34U2022-10-31 23:07:00.0<NA>190144.143204452658.525902<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
56732200003220000672010000012010-02-26<NA>1영업/정상BBBB영업<NA><NA><NA><NA>3442-4001<NA><NA>서울특별시 강남구 논현동 128-1서울특별시 강남구 학동로 166, 405호 (논현동, 부국빌딩)06112덕성환경㈜2024-01-22 17:22:49U2023-11-30 22:04:00.0<NA>202499.846384445660.048871<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
56830000003000000672014000022014-03-26<NA>1영업/정상BBBB영업<NA><NA><NA><NA>0221341935<NA><NA>서울특별시 종로구 계동 140-2<NA><NA>현대엔지니어링(주)2024-01-17 14:39:43U2023-11-30 23:09:00.0<NA>198817.289035452901.786745<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
56932300003230000672022000012022-09-21<NA>1영업/정상BBBB영업<NA><NA><NA><NA>02-445-5805<NA><NA>서울특별시 송파구 문정동 642-3 문정에스케이브이원지엘메트로시티 B동동 1403호서울특별시 송파구 법원로 128, 문정에스케이브이원지엘메트로시티 B동 14층 1403호 (문정동)05854비손푸른엔지니어링(주)2023-10-27 10:04:17U2022-10-30 22:09:00.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
57030000003000000672011000042011-09-16<NA>1영업/정상BBBB영업<NA><NA><NA><NA>2011-7459<NA><NA>서울특별시 종로구 평동 222 센터포인트 돈의문서울특별시 종로구 통일로 134, 센터포인트 돈의문 (평동)03181디엘이앤씨(주)2023-12-11 18:02:58U2022-11-01 23:03:00.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
57131700003170000672020000082020-12-29<NA>1영업/정상BBBB영업<NA><NA><NA><NA>02-6956-6221<NA><NA>서울특별시 금천구 가산동 345-25 에이스태세라타워서울특별시 금천구 가산디지털2로 46, 에이스태세라타워 2층 202호 (가산동)08589(주)데오테크2024-04-17 15:40:58U2023-12-03 23:09:00.0<NA>189551.828843441176.227446<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
572315000031500006720180000120180312<NA>1영업/정상BBBB영업<NA><NA><NA><NA>02-6924-1417<NA><NA>서울특별시 강서구 마곡동 766 디앤오강서사옥서울특별시 강서구 마곡중앙로 150, 디앤오강서사옥 (마곡동)07789자이씨앤에이(주)2022-05-06 10:19:34U2021-12-05 00:08:00.0기타 비주거용 건물 건설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
57331500003150000672018000022018-03-12<NA>1영업/정상BBBB영업<NA><NA><NA><NA>02-6924-1417<NA><NA>서울특별시 강서구 마곡동 766 디앤오강서사옥서울특별시 강서구 마곡중앙로 150, 디앤오강서사옥 (마곡동)07789자이씨앤에이(주)2023-06-23 17:34:26U2022-12-05 22:06:00.0<NA>184819.211224451653.837448<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
57431500003150000672018000032018-04-13<NA>1영업/정상BBBB영업<NA><NA><NA><NA>02-3665-3401<NA><NA>서울특별시 강서구 마곡동 774-4 마곡센트럴타워Ⅰ서울특별시 강서구 공항대로 227, 마곡센트럴타워Ⅰ 1001호 (마곡동)07802금호환경기계(주)2024-03-12 08:56:58U2023-12-02 23:04:00.0<NA>185150.321364450822.870558<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
57532300003230000672010000122010-05-27<NA>1영업/정상BBBB영업<NA><NA><NA><NA>0222022387<NA><NA>서울특별시 송파구 방이동 51-11 대종빌딩 1207호서울특별시 송파구 백제고분로 509 (방이동, 대종빌딩 1207호)138-828샘환경(주)2023-12-27 14:54:01U2022-11-01 22:09:00.0<NA>210112.095847445960.615516<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>