Overview

Dataset statistics

Number of variables60
Number of observations32
Missing cells1139
Missing cells (%)59.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory16.4 KiB
Average record size in memory525.1 B

Variable types

Categorical13
Text11
DateTime4
Unsupported28
Numeric4

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),문화체육업종명,문화사업자구분명,지역구분명,총층수,주변환경명,제작취급품목내용,보험기관명,건물용도명,지상층수,지하층수,객실수,건축연면적,영문상호명,영문상호주소,선박총톤수,선박척수,선박제원,무대면적,좌석수,기념품종류,회의실별동시수용인원,시설면적,놀이기구수내역,놀이시설수,방송시설유무,발전시설유무,의무실유무,안내소유무,기획여행보험시작일자,기획여행보험종료일자,자본금,보험시작일자,보험종료일자,부대시설내역,시설규모
Author금천구
URLhttps://data.seoul.go.kr/dataList/OA-17184/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
문화사업자구분명 has constant value ""Constant
지역구분명 has constant value ""Constant
주변환경명 has constant value ""Constant
건물용도명 has constant value ""Constant
영문상호명 has constant value ""Constant
영문상호주소 has constant value ""Constant
영업상태코드 is highly imbalanced (51.0%)Imbalance
영업상태명 is highly imbalanced (51.0%)Imbalance
상세영업상태코드 is highly imbalanced (51.0%)Imbalance
상세영업상태명 is highly imbalanced (51.0%)Imbalance
소재지우편번호 is highly imbalanced (79.9%)Imbalance
총층수 is highly imbalanced (70.1%)Imbalance
지상층수 is highly imbalanced (66.2%)Imbalance
지하층수 is highly imbalanced (79.9%)Imbalance
시설면적 is highly imbalanced (65.8%)Imbalance
시설규모 is highly imbalanced (65.8%)Imbalance
인허가취소일자 has 32 (100.0%) missing valuesMissing
폐업일자 has 27 (84.4%) missing valuesMissing
휴업시작일자 has 32 (100.0%) missing valuesMissing
휴업종료일자 has 32 (100.0%) missing valuesMissing
재개업일자 has 32 (100.0%) missing valuesMissing
전화번호 has 12 (37.5%) missing valuesMissing
소재지면적 has 32 (100.0%) missing valuesMissing
도로명주소 has 1 (3.1%) missing valuesMissing
도로명우편번호 has 1 (3.1%) missing valuesMissing
업태구분명 has 32 (100.0%) missing valuesMissing
문화사업자구분명 has 30 (93.8%) missing valuesMissing
지역구분명 has 31 (96.9%) missing valuesMissing
주변환경명 has 31 (96.9%) missing valuesMissing
제작취급품목내용 has 32 (100.0%) missing valuesMissing
보험기관명 has 32 (100.0%) missing valuesMissing
건물용도명 has 31 (96.9%) missing valuesMissing
객실수 has 32 (100.0%) missing valuesMissing
건축연면적 has 32 (100.0%) missing valuesMissing
영문상호명 has 31 (96.9%) missing valuesMissing
영문상호주소 has 31 (96.9%) missing valuesMissing
선박총톤수 has 32 (100.0%) missing valuesMissing
선박척수 has 32 (100.0%) missing valuesMissing
선박제원 has 32 (100.0%) missing valuesMissing
무대면적 has 32 (100.0%) missing valuesMissing
좌석수 has 32 (100.0%) missing valuesMissing
기념품종류 has 32 (100.0%) missing valuesMissing
회의실별동시수용인원 has 32 (100.0%) missing valuesMissing
놀이기구수내역 has 32 (100.0%) missing valuesMissing
놀이시설수 has 32 (100.0%) missing valuesMissing
방송시설유무 has 32 (100.0%) missing valuesMissing
발전시설유무 has 32 (100.0%) missing valuesMissing
의무실유무 has 32 (100.0%) missing valuesMissing
안내소유무 has 32 (100.0%) missing valuesMissing
기획여행보험시작일자 has 32 (100.0%) missing valuesMissing
기획여행보험종료일자 has 32 (100.0%) missing valuesMissing
자본금 has 17 (53.1%) missing valuesMissing
보험시작일자 has 32 (100.0%) missing valuesMissing
보험종료일자 has 32 (100.0%) missing valuesMissing
부대시설내역 has 32 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
인허가일자 has unique valuesUnique
사업장명 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
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제작취급품목내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
보험기관명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
객실수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건축연면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
선박총톤수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
선박척수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
선박제원 is an unsupported type, check if it needs cleaning or further analysisUnsupported
무대면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
좌석수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기념품종류 is an unsupported type, check if it needs cleaning or further analysisUnsupported
회의실별동시수용인원 is an unsupported type, check if it needs cleaning or further analysisUnsupported
놀이기구수내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported
놀이시설수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방송시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
발전시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
의무실유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
안내소유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기획여행보험시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기획여행보험종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
보험시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
보험종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
부대시설내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-17 20:10:59.429308
Analysis finished2024-04-17 20:10:59.947384
Duration0.52 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
3170000
32 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3170000
2nd row3170000
3rd row3170000
4th row3170000
5th row3170000

Common Values

ValueCountFrequency (%)
3170000 32
100.0%

Length

2024-04-18T05:10:59.997199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T05:11:00.069824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3170000 32
100.0%

관리번호
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2024-04-18T05:11:00.200730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters640
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)100.0%

Sample

1st rowCDFI2263102006000001
2nd rowCDFI2263102014000001
3rd rowCDFI2263102015000001
4th rowCDFI2263102017000001
5th rowCDFI2263102018000001
ValueCountFrequency (%)
cdfi2263102006000001 1
 
3.1%
cdfi2263102014000001 1
 
3.1%
cdfi2263102024000001 1
 
3.1%
cdfi2263102023000006 1
 
3.1%
cdfi2263102023000005 1
 
3.1%
cdfi2263102023000004 1
 
3.1%
cdfi2263102023000003 1
 
3.1%
cdfi2263102023000002 1
 
3.1%
cdfi2263102023000001 1
 
3.1%
cdfi2263102022000002 1
 
3.1%
Other values (22) 22
68.8%
2024-04-18T05:11:00.456727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 230
35.9%
2 125
19.5%
1 59
 
9.2%
3 42
 
6.6%
6 34
 
5.3%
C 32
 
5.0%
D 32
 
5.0%
F 32
 
5.0%
I 32
 
5.0%
4 7
 
1.1%
Other values (4) 15
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 512
80.0%
Uppercase Letter 128
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 230
44.9%
2 125
24.4%
1 59
 
11.5%
3 42
 
8.2%
6 34
 
6.6%
4 7
 
1.4%
5 6
 
1.2%
8 4
 
0.8%
9 4
 
0.8%
7 1
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
C 32
25.0%
D 32
25.0%
F 32
25.0%
I 32
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 512
80.0%
Latin 128
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 230
44.9%
2 125
24.4%
1 59
 
11.5%
3 42
 
8.2%
6 34
 
6.6%
4 7
 
1.4%
5 6
 
1.2%
8 4
 
0.8%
9 4
 
0.8%
7 1
 
0.2%
Latin
ValueCountFrequency (%)
C 32
25.0%
D 32
25.0%
F 32
25.0%
I 32
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 640
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 230
35.9%
2 125
19.5%
1 59
 
9.2%
3 42
 
6.6%
6 34
 
5.3%
C 32
 
5.0%
D 32
 
5.0%
F 32
 
5.0%
I 32
 
5.0%
4 7
 
1.1%
Other values (4) 15
 
2.3%

인허가일자
Date

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
Minimum2006-05-19 00:00:00
Maximum2024-04-01 00:00:00
2024-04-18T05:11:00.557735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T05:11:00.643284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size388.0 B
1
27 
5
3 
3
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 27
84.4%
5 3
 
9.4%
3 2
 
6.2%

Length

2024-04-18T05:11:00.740017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T05:11:00.819421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 27
84.4%
5 3
 
9.4%
3 2
 
6.2%

영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size388.0 B
영업/정상
27 
제외/삭제/전출
3 
폐업
 
2

Length

Max length8
Median length5
Mean length5.09375
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 27
84.4%
제외/삭제/전출 3
 
9.4%
폐업 2
 
6.2%

Length

2024-04-18T05:11:00.919664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T05:11:00.995946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 27
84.4%
제외/삭제/전출 3
 
9.4%
폐업 2
 
6.2%

상세영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size388.0 B
13
27 
15
3 
3
 
2

Length

Max length2
Median length2
Mean length1.9375
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row13
2nd row3
3rd row13
4th row13
5th row13

Common Values

ValueCountFrequency (%)
13 27
84.4%
15 3
 
9.4%
3 2
 
6.2%

Length

2024-04-18T05:11:01.082612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T05:11:01.157210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 27
84.4%
15 3
 
9.4%
3 2
 
6.2%

상세영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size388.0 B
영업중
27 
전출
3 
폐업
 
2

Length

Max length3
Median length3
Mean length2.84375
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 27
84.4%
전출 3
 
9.4%
폐업 2
 
6.2%

Length

2024-04-18T05:11:01.234761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T05:11:01.311982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 27
84.4%
전출 3
 
9.4%
폐업 2
 
6.2%

폐업일자
Date

MISSING 

Distinct5
Distinct (%)100.0%
Missing27
Missing (%)84.4%
Memory size388.0 B
Minimum2014-12-17 00:00:00
Maximum2023-12-15 00:00:00
2024-04-18T05:11:01.371702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T05:11:01.439627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

전화번호
Text

MISSING 

Distinct19
Distinct (%)95.0%
Missing12
Missing (%)37.5%
Memory size388.0 B
2024-04-18T05:11:01.569289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.2
Min length8

Characters and Unicode

Total characters224
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

Unique18 ?
Unique (%)90.0%

Sample

1st row02-6405-5161
2nd row723-3606
3rd row02-562-8328
4th row028638322
5th row028650310
ValueCountFrequency (%)
02-2224-0977 2
 
10.0%
025216694 1
 
5.0%
02-6405-5161 1
 
5.0%
02-6952-3778 1
 
5.0%
02-394-1821 1
 
5.0%
02-6674-6120 1
 
5.0%
02-6123-7880 1
 
5.0%
070-4760-6023 1
 
5.0%
02-6929-1270 1
 
5.0%
02-780-4991 1
 
5.0%
Other values (9) 9
45.0%
2024-04-18T05:11:01.804857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 38
17.0%
0 36
16.1%
- 33
14.7%
6 21
9.4%
7 19
8.5%
1 14
 
6.2%
4 13
 
5.8%
5 13
 
5.8%
3 13
 
5.8%
9 12
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 191
85.3%
Dash Punctuation 33
 
14.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 38
19.9%
0 36
18.8%
6 21
11.0%
7 19
9.9%
1 14
 
7.3%
4 13
 
6.8%
5 13
 
6.8%
3 13
 
6.8%
9 12
 
6.3%
8 12
 
6.3%
Dash Punctuation
ValueCountFrequency (%)
- 33
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 224
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 38
17.0%
0 36
16.1%
- 33
14.7%
6 21
9.4%
7 19
8.5%
1 14
 
6.2%
4 13
 
5.8%
5 13
 
5.8%
3 13
 
5.8%
9 12
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 224
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 38
17.0%
0 36
16.1%
- 33
14.7%
6 21
9.4%
7 19
8.5%
1 14
 
6.2%
4 13
 
5.8%
5 13
 
5.8%
3 13
 
5.8%
9 12
 
5.4%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

소재지우편번호
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
31 
153023
 
1

Length

Max length6
Median length4
Mean length4.0625
Min length4

Unique

Unique1 ?
Unique (%)3.1%

Sample

1st row<NA>
2nd row153023
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 31
96.9%
153023 1
 
3.1%

Length

2024-04-18T05:11:01.918900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T05:11:01.997899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 31
96.9%
153023 1
 
3.1%

지번주소
Text

Distinct30
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Memory size388.0 B
2024-04-18T05:11:02.179770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length35
Mean length32.4375
Min length20

Characters and Unicode

Total characters1038
Distinct characters92
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)87.5%

Sample

1st row서울특별시 금천구 가산동 685 디지털엠파이어 314호
2nd row서울특별시 금천구 가산동 371-47 806-3호
3rd row서울특별시 금천구 가산동 550-9 에이스가산타워 602호
4th row서울특별시 금천구 가산동 327-32 대륭테크노타운12차 1405호
5th row서울특별시 금천구 가산동 345-9 SK트윈테크타워 B동 504호
ValueCountFrequency (%)
서울특별시 32
 
16.2%
금천구 32
 
16.2%
가산동 31
 
15.7%
691 3
 
1.5%
대륭테크노타운 3
 
1.5%
20차 3
 
1.5%
가산 3
 
1.5%
센터 2
 
1.0%
371-41 2
 
1.0%
에스케이 2
 
1.0%
Other values (72) 85
42.9%
2024-04-18T05:11:02.478079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
167
 
16.1%
1 44
 
4.2%
산 40
 
3.9%
가 36
 
3.5%
동 35
 
3.4%
구 32
 
3.1%
울 32
 
3.1%
서 32
 
3.1%
천 32
 
3.1%
금 32
 
3.1%
Other values (82) 556
53.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 593
57.1%
Decimal Number 225
 
21.7%
Space Separator 167
 
16.1%
Dash Punctuation 26
 
2.5%
Uppercase Letter 26
 
2.5%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 40
 
6.7%
가 36
 
6.1%
동 35
 
5.9%
구 32
 
5.4%
울 32
 
5.4%
서 32
 
5.4%
천 32
 
5.4%
금 32
 
5.4%
시 32
 
5.4%
별 32
 
5.4%
Other values (56) 258
43.5%
Uppercase Letter
ValueCountFrequency (%)
I 4
15.4%
T 4
15.4%
B 3
11.5%
Y 2
7.7%
C 2
7.7%
H 2
7.7%
S 2
7.7%
K 2
7.7%
G 1
 
3.8%
R 1
 
3.8%
Other values (3) 3
11.5%
Decimal Number
ValueCountFrequency (%)
1 44
19.6%
3 31
13.8%
0 26
11.6%
5 24
10.7%
4 23
10.2%
2 22
9.8%
6 20
8.9%
7 16
 
7.1%
9 14
 
6.2%
8 5
 
2.2%
Space Separator
ValueCountFrequency (%)
167
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 593
57.1%
Common 419
40.4%
Latin 26
 
2.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 40
 
6.7%
가 36
 
6.1%
동 35
 
5.9%
구 32
 
5.4%
울 32
 
5.4%
서 32
 
5.4%
천 32
 
5.4%
금 32
 
5.4%
시 32
 
5.4%
별 32
 
5.4%
Other values (56) 258
43.5%
Common
ValueCountFrequency (%)
167
39.9%
1 44
 
10.5%
3 31
 
7.4%
- 26
 
6.2%
0 26
 
6.2%
5 24
 
5.7%
4 23
 
5.5%
2 22
 
5.3%
6 20
 
4.8%
7 16
 
3.8%
Other values (3) 20
 
4.8%
Latin
ValueCountFrequency (%)
I 4
15.4%
T 4
15.4%
B 3
11.5%
Y 2
7.7%
C 2
7.7%
H 2
7.7%
S 2
7.7%
K 2
7.7%
G 1
 
3.8%
R 1
 
3.8%
Other values (3) 3
11.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 593
57.1%
ASCII 445
42.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
167
37.5%
1 44
 
9.9%
3 31
 
7.0%
- 26
 
5.8%
0 26
 
5.8%
5 24
 
5.4%
4 23
 
5.2%
2 22
 
4.9%
6 20
 
4.5%
7 16
 
3.6%
Other values (16) 46
 
10.3%
Hangul
ValueCountFrequency (%)
산 40
 
6.7%
가 36
 
6.1%
동 35
 
5.9%
구 32
 
5.4%
울 32
 
5.4%
서 32
 
5.4%
천 32
 
5.4%
금 32
 
5.4%
시 32
 
5.4%
별 32
 
5.4%
Other values (56) 258
43.5%

도로명주소
Text

MISSING 

Distinct29
Distinct (%)93.5%
Missing1
Missing (%)3.1%
Memory size388.0 B
2024-04-18T05:11:02.699743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length48
Mean length43.935484
Min length30

Characters and Unicode

Total characters1362
Distinct characters107
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)87.1%

Sample

1st row서울특별시 금천구 범안로 1130, 314호 (가산동, 디지털엠파이어빌딩)
2nd row서울특별시 금천구 디지털로 121, 에이스가산타워 602호 (가산동)
3rd row서울특별시 금천구 가산디지털2로 14, 대륭테크노타운12차 1405호 (가산동)
4th row서울특별시 금천구 가산디지털1로 119, SK트윈테크타워 B동 504호 (가산동)
5th row서울특별시 금천구 벚꽃로 254, 월드메르디앙1차 1511호 (가산동)
ValueCountFrequency (%)
서울특별시 31
 
12.8%
금천구 31
 
12.8%
가산동 30
 
12.4%
가산디지털1로 16
 
6.6%
가산디지털2로 4
 
1.7%
디지털로9길 3
 
1.2%
가산 3
 
1.2%
범안로 3
 
1.2%
b동 3
 
1.2%
20차 3
 
1.2%
Other values (92) 115
47.5%
2024-04-18T05:11:03.025638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
211
 
15.5%
1 74
 
5.4%
산 59
 
4.3%
가 55
 
4.0%
0 36
 
2.6%
동 35
 
2.6%
, 35
 
2.6%
서 33
 
2.4%
시 32
 
2.3%
구 31
 
2.3%
Other values (97) 761
55.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 769
56.5%
Decimal Number 253
 
18.6%
Space Separator 211
 
15.5%
Other Punctuation 35
 
2.6%
Open Punctuation 31
 
2.3%
Close Punctuation 31
 
2.3%
Uppercase Letter 27
 
2.0%
Dash Punctuation 3
 
0.2%
Math Symbol 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 59
 
7.7%
가 55
 
7.2%
동 35
 
4.6%
서 33
 
4.3%
시 32
 
4.2%
구 31
 
4.0%
천 31
 
4.0%
특 31
 
4.0%
울 31
 
4.0%
별 31
 
4.0%
Other values (68) 400
52.0%
Uppercase Letter
ValueCountFrequency (%)
B 4
14.8%
T 4
14.8%
I 4
14.8%
K 2
7.4%
Y 2
7.4%
C 2
7.4%
H 2
7.4%
S 2
7.4%
G 1
 
3.7%
R 1
 
3.7%
Other values (3) 3
11.1%
Decimal Number
ValueCountFrequency (%)
1 74
29.2%
0 36
14.2%
2 31
12.3%
3 25
 
9.9%
6 21
 
8.3%
5 20
 
7.9%
4 17
 
6.7%
7 11
 
4.3%
9 11
 
4.3%
8 7
 
2.8%
Space Separator
ValueCountFrequency (%)
211
100.0%
Other Punctuation
ValueCountFrequency (%)
, 35
100.0%
Open Punctuation
ValueCountFrequency (%)
( 31
100.0%
Close Punctuation
ValueCountFrequency (%)
) 31
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 769
56.5%
Common 566
41.6%
Latin 27
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 59
 
7.7%
가 55
 
7.2%
동 35
 
4.6%
서 33
 
4.3%
시 32
 
4.2%
구 31
 
4.0%
천 31
 
4.0%
특 31
 
4.0%
울 31
 
4.0%
별 31
 
4.0%
Other values (68) 400
52.0%
Common
ValueCountFrequency (%)
211
37.3%
1 74
 
13.1%
0 36
 
6.4%
, 35
 
6.2%
2 31
 
5.5%
( 31
 
5.5%
) 31
 
5.5%
3 25
 
4.4%
6 21
 
3.7%
5 20
 
3.5%
Other values (6) 51
 
9.0%
Latin
ValueCountFrequency (%)
B 4
14.8%
T 4
14.8%
I 4
14.8%
K 2
7.4%
Y 2
7.4%
C 2
7.4%
H 2
7.4%
S 2
7.4%
G 1
 
3.7%
R 1
 
3.7%
Other values (3) 3
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 769
56.5%
ASCII 593
43.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
211
35.6%
1 74
 
12.5%
0 36
 
6.1%
, 35
 
5.9%
2 31
 
5.2%
( 31
 
5.2%
) 31
 
5.2%
3 25
 
4.2%
6 21
 
3.5%
5 20
 
3.4%
Other values (19) 78
 
13.2%
Hangul
ValueCountFrequency (%)
산 59
 
7.7%
가 55
 
7.2%
동 35
 
4.6%
서 33
 
4.3%
시 32
 
4.2%
구 31
 
4.0%
천 31
 
4.0%
특 31
 
4.0%
울 31
 
4.0%
별 31
 
4.0%
Other values (68) 400
52.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)48.4%
Missing1
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean8545.2581
Minimum8500
Maximum8604
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-04-18T05:11:03.119669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8500
5-th percentile8502.5
Q18505
median8512
Q38592
95-th percentile8595
Maximum8604
Range104
Interquartile range (IQR)87

Descriptive statistics

Standard deviation44.199523
Coefficient of variation (CV)0.0051724036
Kurtosis-2.0626159
Mean8545.2581
Median Absolute Deviation (MAD)10
Skewness0.20470598
Sum264903
Variance1953.5978
MonotonicityNot monotonic
2024-04-18T05:11:03.206609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
8589 4
12.5%
8595 3
9.4%
8594 3
9.4%
8503 3
9.4%
8505 2
 
6.2%
8592 2
 
6.2%
8511 2
 
6.2%
8507 2
 
6.2%
8504 2
 
6.2%
8506 2
 
6.2%
Other values (5) 6
18.8%
ValueCountFrequency (%)
8500 1
 
3.1%
8502 1
 
3.1%
8503 3
9.4%
8504 2
6.2%
8505 2
6.2%
8506 2
6.2%
8507 2
6.2%
8511 2
6.2%
8512 2
6.2%
8589 4
12.5%
ValueCountFrequency (%)
8604 1
 
3.1%
8595 3
9.4%
8594 3
9.4%
8592 2
6.2%
8591 1
 
3.1%
8589 4
12.5%
8512 2
6.2%
8511 2
6.2%
8507 2
6.2%
8506 2
6.2%

사업장명
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2024-04-18T05:11:03.347929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length9.46875
Min length3

Characters and Unicode

Total characters303
Distinct characters95
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)100.0%

Sample

1st row(주)리더피엠씨
2nd row(주)트로스아이엔디
3rd row(주)케이원커뮤니케이션
4th row주식회사 케이원
5th row우리스포츠
ValueCountFrequency (%)
주식회사 15
31.2%
주)리더피엠씨 1
 
2.1%
라이온코리아 1
 
2.1%
국방마이스연구원 1
 
2.1%
수소지식그룹 1
 
2.1%
프리미어플랜 1
 
2.1%
핀콕트립 1
 
2.1%
엔케이글로벌홀딩스 1
 
2.1%
메디앤코리아 1
 
2.1%
네이처스페이스 1
 
2.1%
Other values (24) 24
50.0%
2024-04-18T05:11:03.605862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 27
 
8.9%
16
 
5.3%
사 16
 
5.3%
식 16
 
5.3%
회 15
 
5.0%
이 15
 
5.0%
( 12
 
4.0%
) 12
 
4.0%
스 11
 
3.6%
케 9
 
3.0%
Other values (85) 154
50.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 263
86.8%
Space Separator 16
 
5.3%
Open Punctuation 12
 
4.0%
Close Punctuation 12
 
4.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 27
 
10.3%
사 16
 
6.1%
식 16
 
6.1%
회 15
 
5.7%
이 15
 
5.7%
스 11
 
4.2%
케 9
 
3.4%
리 8
 
3.0%
니 7
 
2.7%
션 6
 
2.3%
Other values (82) 133
50.6%
Space Separator
ValueCountFrequency (%)
16
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 263
86.8%
Common 40
 
13.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 27
 
10.3%
사 16
 
6.1%
식 16
 
6.1%
회 15
 
5.7%
이 15
 
5.7%
스 11
 
4.2%
케 9
 
3.4%
리 8
 
3.0%
니 7
 
2.7%
션 6
 
2.3%
Other values (82) 133
50.6%
Common
ValueCountFrequency (%)
16
40.0%
( 12
30.0%
) 12
30.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 263
86.8%
ASCII 40
 
13.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 27
 
10.3%
사 16
 
6.1%
식 16
 
6.1%
회 15
 
5.7%
이 15
 
5.7%
스 11
 
4.2%
케 9
 
3.4%
리 8
 
3.0%
니 7
 
2.7%
션 6
 
2.3%
Other values (82) 133
50.6%
ASCII
ValueCountFrequency (%)
16
40.0%
( 12
30.0%
) 12
30.0%

최종수정일자
Date

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
Minimum2014-12-18 09:26:47
Maximum2024-04-01 13:58:50
2024-04-18T05:11:03.700366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T05:11:03.789537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)

데이터갱신구분
Categorical

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
I
19 
U
13 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 19
59.4%
U 13
40.6%

Length

2024-04-18T05:11:03.881199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T05:11:03.973097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 19
59.4%
u 13
40.6%

데이터갱신일자
Date

Distinct29
Distinct (%)90.6%
Missing0
Missing (%)0.0%
Memory size388.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:03:00
2024-04-18T05:11:04.050196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T05:11:04.136799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

좌표정보(X)
Real number (ℝ)

Distinct25
Distinct (%)78.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean189641.5
Minimum189055.14
Maximum190810.82
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-04-18T05:11:04.230803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum189055.14
5-th percentile189061.01
Q1189378.33
median189662.67
Q3189888.02
95-th percentile190040.14
Maximum190810.82
Range1755.686
Interquartile range (IQR)509.68387

Descriptive statistics

Standard deviation368.2916
Coefficient of variation (CV)0.0019420412
Kurtosis1.8948417
Mean189641.5
Median Absolute Deviation (MAD)257.86296
Skewness0.68857887
Sum6068527.9
Variance135638.7
MonotonicityNot monotonic
2024-04-18T05:11:04.616166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
189920.528610917 3
 
9.4%
189575.815287955 2
 
6.2%
189700.026948955 2
 
6.2%
189378.332493727 2
 
6.2%
189877.178943503 2
 
6.2%
189055.138252216 2
 
6.2%
189978.050925581 1
 
3.1%
189158.740846154 1
 
3.1%
189065.818334596 1
 
3.1%
189590.415184668 1
 
3.1%
Other values (15) 15
46.9%
ValueCountFrequency (%)
189055.138252216 2
6.2%
189065.818334596 1
3.1%
189158.740846154 1
3.1%
189202.600232089 1
3.1%
189314.711435401 1
3.1%
189325.86426015 1
3.1%
189378.332493727 2
6.2%
189434.721897968 1
3.1%
189497.04098479 1
3.1%
189522.336721798 1
3.1%
ValueCountFrequency (%)
190810.824300924 1
 
3.1%
190099.41176063 1
 
3.1%
189991.650798406 1
 
3.1%
189978.050925581 1
 
3.1%
189936.854290909 1
 
3.1%
189920.528610917 3
9.4%
189877.178943503 2
6.2%
189863.598209033 1
 
3.1%
189788.849463856 1
 
3.1%
189700.026948955 2
6.2%

좌표정보(Y)
Real number (ℝ)

Distinct25
Distinct (%)78.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean441443.08
Minimum440110.49
Maximum442585.93
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-04-18T05:11:04.728523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum440110.49
5-th percentile440357.67
Q1440826.47
median441665.55
Q3441958.33
95-th percentile442308.35
Maximum442585.93
Range2475.448
Interquartile range (IQR)1131.8614

Descriptive statistics

Standard deviation689.57838
Coefficient of variation (CV)0.0015621003
Kurtosis-0.98867951
Mean441443.08
Median Absolute Deviation (MAD)428.09531
Skewness-0.47712144
Sum14126179
Variance475518.34
MonotonicityNot monotonic
2024-04-18T05:11:04.840539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
440521.85524888 3
 
9.4%
441503.181731081 2
 
6.2%
441229.110998601 2
 
6.2%
442066.99866487 2
 
6.2%
442093.648596802 2
 
6.2%
441958.334400683 2
 
6.2%
440363.954453659 1
 
3.1%
442283.977342742 1
 
3.1%
442338.144130222 1
 
3.1%
441837.131445595 1
 
3.1%
Other values (15) 15
46.9%
ValueCountFrequency (%)
440110.485229322 1
 
3.1%
440349.985884412 1
 
3.1%
440363.954453659 1
 
3.1%
440416.170972838 1
 
3.1%
440521.85524888 3
9.4%
440695.614055984 1
 
3.1%
440870.092608694 1
 
3.1%
441134.747749945 1
 
3.1%
441229.110998601 2
6.2%
441503.181731081 2
6.2%
ValueCountFrequency (%)
442585.933234852 1
3.1%
442338.144130222 1
3.1%
442283.977342742 1
3.1%
442093.648596802 2
6.2%
442066.99866487 2
6.2%
441958.334400683 2
6.2%
441870.90420315 1
3.1%
441862.707622957 1
3.1%
441848.24299943 1
3.1%
441837.131445595 1
3.1%

문화체육업종명
Categorical

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
국제회의기획업
16 
<NA>
16 

Length

Max length7
Median length5.5
Mean length5.5
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
국제회의기획업 16
50.0%
<NA> 16
50.0%

Length

2024-04-18T05:11:04.937318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T05:11:05.042547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국제회의기획업 16
50.0%
na 16
50.0%

문화사업자구분명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)50.0%
Missing30
Missing (%)93.8%
Memory size388.0 B
2024-04-18T05:11:05.125317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters8
Distinct characters4
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row관광사업
2nd row관광사업
ValueCountFrequency (%)
관광사업 2
100.0%
2024-04-18T05:11:05.297529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
관 2
25.0%
광 2
25.0%
사 2
25.0%
업 2
25.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 2
25.0%
광 2
25.0%
사 2
25.0%
업 2
25.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 2
25.0%
광 2
25.0%
사 2
25.0%
업 2
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
관 2
25.0%
광 2
25.0%
사 2
25.0%
업 2
25.0%

지역구분명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing31
Missing (%)96.9%
Memory size388.0 B
2024-04-18T05:11:05.397793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters6
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row근린상업지역
ValueCountFrequency (%)
근린상업지역 1
100.0%
2024-04-18T05:11:05.582675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
근 1
16.7%
린 1
16.7%
상 1
16.7%
업 1
16.7%
지 1
16.7%
역 1
16.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
근 1
16.7%
린 1
16.7%
상 1
16.7%
업 1
16.7%
지 1
16.7%
역 1
16.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
근 1
16.7%
린 1
16.7%
상 1
16.7%
업 1
16.7%
지 1
16.7%
역 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
근 1
16.7%
린 1
16.7%
상 1
16.7%
업 1
16.7%
지 1
16.7%
역 1
16.7%

총층수
Categorical

IMBALANCE 

Distinct4
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
29 
18
 
1
5
 
1
15
 
1

Length

Max length4
Median length4
Mean length3.78125
Min length1

Unique

Unique3 ?
Unique (%)9.4%

Sample

1st row18
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row5

Common Values

ValueCountFrequency (%)
<NA> 29
90.6%
18 1
 
3.1%
5 1
 
3.1%
15 1
 
3.1%

Length

2024-04-18T05:11:05.680286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T05:11:05.761420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 29
90.6%
18 1
 
3.1%
5 1
 
3.1%
15 1
 
3.1%

주변환경명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing31
Missing (%)96.9%
Memory size388.0 B
2024-04-18T05:11:05.819593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row기타
ValueCountFrequency (%)
기타 1
100.0%
2024-04-18T05:11:05.998930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 1
50.0%
타 1
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 1
50.0%
타 1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 1
50.0%
타 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 1
50.0%
타 1
50.0%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

보험기관명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

건물용도명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing31
Missing (%)96.9%
Memory size388.0 B
2024-04-18T05:11:06.107343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters6
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row근린생활시설
ValueCountFrequency (%)
근린생활시설 1
100.0%
2024-04-18T05:11:06.318788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
근 1
16.7%
린 1
16.7%
생 1
16.7%
활 1
16.7%
시 1
16.7%
설 1
16.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
근 1
16.7%
린 1
16.7%
생 1
16.7%
활 1
16.7%
시 1
16.7%
설 1
16.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
근 1
16.7%
린 1
16.7%
생 1
16.7%
활 1
16.7%
시 1
16.7%
설 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
근 1
16.7%
린 1
16.7%
생 1
16.7%
활 1
16.7%
시 1
16.7%
설 1
16.7%

지상층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
29 
15
 
2
5
 
1

Length

Max length4
Median length4
Mean length3.78125
Min length1

Unique

Unique1 ?
Unique (%)3.1%

Sample

1st row15
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row5

Common Values

ValueCountFrequency (%)
<NA> 29
90.6%
15 2
 
6.2%
5 1
 
3.1%

Length

2024-04-18T05:11:06.429785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T05:11:06.525824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 29
90.6%
15 2
 
6.2%
5 1
 
3.1%

지하층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
31 
3
 
1

Length

Max length4
Median length4
Mean length3.90625
Min length1

Unique

Unique1 ?
Unique (%)3.1%

Sample

1st row3
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 31
96.9%
3 1
 
3.1%

Length

2024-04-18T05:11:06.605874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T05:11:06.682650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 31
96.9%
3 1
 
3.1%

객실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

건축연면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

영문상호명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing31
Missing (%)96.9%
Memory size388.0 B
2024-04-18T05:11:06.776246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length26
Mean length26
Min length26

Characters and Unicode

Total characters26
Distinct characters15
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

Unique1 ?
Unique (%)100.0%

Sample

1st rowSmile Communication Co Ltd
ValueCountFrequency (%)
smile 1
25.0%
communication 1
25.0%
co 1
25.0%
ltd 1
25.0%
2024-04-18T05:11:06.977406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
m 3
11.5%
i 3
11.5%
3
11.5%
o 3
11.5%
C 2
 
7.7%
n 2
 
7.7%
t 2
 
7.7%
S 1
 
3.8%
l 1
 
3.8%
e 1
 
3.8%
Other values (5) 5
19.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 19
73.1%
Uppercase Letter 4
 
15.4%
Space Separator 3
 
11.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
m 3
15.8%
i 3
15.8%
o 3
15.8%
n 2
10.5%
t 2
10.5%
l 1
 
5.3%
e 1
 
5.3%
u 1
 
5.3%
c 1
 
5.3%
a 1
 
5.3%
Uppercase Letter
ValueCountFrequency (%)
C 2
50.0%
S 1
25.0%
L 1
25.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 23
88.5%
Common 3
 
11.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
m 3
13.0%
i 3
13.0%
o 3
13.0%
C 2
8.7%
n 2
8.7%
t 2
8.7%
S 1
 
4.3%
l 1
 
4.3%
e 1
 
4.3%
u 1
 
4.3%
Other values (4) 4
17.4%
Common
ValueCountFrequency (%)
3
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 26
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
m 3
11.5%
i 3
11.5%
3
11.5%
o 3
11.5%
C 2
 
7.7%
n 2
 
7.7%
t 2
 
7.7%
S 1
 
3.8%
l 1
 
3.8%
e 1
 
3.8%
Other values (5) 5
19.2%

영문상호주소
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing31
Missing (%)96.9%
Memory size388.0 B
2024-04-18T05:11:07.085446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters16
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

Unique1 ?
Unique (%)100.0%

Sample

1st rowProfessional Conference Organizer
ValueCountFrequency (%)
professional 1
33.3%
conference 1
33.3%
organizer 1
33.3%
2024-04-18T05:11:07.282351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 5
15.2%
r 4
12.1%
n 4
12.1%
o 3
9.1%
f 2
 
6.1%
s 2
 
6.1%
i 2
 
6.1%
a 2
 
6.1%
2
 
6.1%
P 1
 
3.0%
Other values (6) 6
18.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 28
84.8%
Uppercase Letter 3
 
9.1%
Space Separator 2
 
6.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 5
17.9%
r 4
14.3%
n 4
14.3%
o 3
10.7%
f 2
 
7.1%
s 2
 
7.1%
i 2
 
7.1%
a 2
 
7.1%
l 1
 
3.6%
c 1
 
3.6%
Other values (2) 2
 
7.1%
Uppercase Letter
ValueCountFrequency (%)
P 1
33.3%
C 1
33.3%
O 1
33.3%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 31
93.9%
Common 2
 
6.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 5
16.1%
r 4
12.9%
n 4
12.9%
o 3
9.7%
f 2
 
6.5%
s 2
 
6.5%
i 2
 
6.5%
a 2
 
6.5%
P 1
 
3.2%
l 1
 
3.2%
Other values (5) 5
16.1%
Common
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 5
15.2%
r 4
12.1%
n 4
12.1%
o 3
9.1%
f 2
 
6.1%
s 2
 
6.1%
i 2
 
6.1%
a 2
 
6.1%
2
 
6.1%
P 1
 
3.0%
Other values (6) 6
18.2%

선박총톤수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

선박척수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

무대면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

좌석수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

회의실별동시수용인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

시설면적
Categorical

IMBALANCE 

Distinct5
Distinct (%)15.6%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
28 
160.82
 
1
29.65
 
1
80.28
 
1
40.0
 
1

Length

Max length6
Median length4
Mean length4.125
Min length4

Unique

Unique4 ?
Unique (%)12.5%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row160.82

Common Values

ValueCountFrequency (%)
<NA> 28
87.5%
160.82 1
 
3.1%
29.65 1
 
3.1%
80.28 1
 
3.1%
40.0 1
 
3.1%

Length

2024-04-18T05:11:07.394840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T05:11:07.492389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 28
87.5%
160.82 1
 
3.1%
29.65 1
 
3.1%
80.28 1
 
3.1%
40.0 1
 
3.1%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

놀이시설수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

자본금
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)53.3%
Missing17
Missing (%)53.1%
Infinite0
Infinite (%)0.0%
Mean2.0825491 × 108
Minimum50000000
Maximum1.7033237 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-04-18T05:11:07.562831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum50000000
5-th percentile50000000
Q150000000
median85000000
Q31.0025 × 108
95-th percentile8.259971 × 108
Maximum1.7033237 × 109
Range1.6533237 × 109
Interquartile range (IQR)50250000

Descriptive statistics

Standard deviation4.2539983 × 108
Coefficient of variation (CV)2.0426881
Kurtosis13.024264
Mean2.0825491 × 108
Median Absolute Deviation (MAD)30000000
Skewness3.5564066
Sum3.1238237 × 109
Variance1.8096501 × 1017
MonotonicityNot monotonic
2024-04-18T05:11:07.645144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
50000000 5
 
15.6%
100000000 3
 
9.4%
60000000 2
 
6.2%
450000000 1
 
3.1%
1703323682 1
 
3.1%
115000000 1
 
3.1%
100500000 1
 
3.1%
85000000 1
 
3.1%
(Missing) 17
53.1%
ValueCountFrequency (%)
50000000 5
15.6%
60000000 2
 
6.2%
85000000 1
 
3.1%
100000000 3
9.4%
100500000 1
 
3.1%
115000000 1
 
3.1%
450000000 1
 
3.1%
1703323682 1
 
3.1%
ValueCountFrequency (%)
1703323682 1
 
3.1%
450000000 1
 
3.1%
115000000 1
 
3.1%
100500000 1
 
3.1%
100000000 3
9.4%
85000000 1
 
3.1%
60000000 2
 
6.2%
50000000 5
15.6%

보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

시설규모
Categorical

IMBALANCE 

Distinct5
Distinct (%)15.6%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
28 
161
 
1
30
 
1
80
 
1
40
 
1

Length

Max length4
Median length4
Mean length3.78125
Min length2

Unique

Unique4 ?
Unique (%)12.5%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row161

Common Values

ValueCountFrequency (%)
<NA> 28
87.5%
161 1
 
3.1%
30 1
 
3.1%
80 1
 
3.1%
40 1
 
3.1%

Length

2024-04-18T05:11:07.746103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T05:11:07.830032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 28
87.5%
161 1
 
3.1%
30 1
 
3.1%
80 1
 
3.1%
40 1
 
3.1%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
03170000CDFI226310200600000120060519<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6405-5161<NA><NA>서울특별시 금천구 가산동 685 디지털엠파이어 314호서울특별시 금천구 범안로 1130, 314호 (가산동, 디지털엠파이어빌딩)8595(주)리더피엠씨2017-03-20 09:44:03I2018-08-31 23:59:59.0<NA>189978.050926440363.954454국제회의기획업관광사업근린상업지역18기타<NA><NA>근린생활시설153<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>450000000<NA><NA><NA><NA>
13170000CDFI226310201400000120080121<NA>3폐업3폐업20141217<NA><NA><NA>723-3606<NA>153023서울특별시 금천구 가산동 371-47 806-3호<NA><NA>(주)트로스아이엔디2014-12-18 09:26:47I2018-08-31 23:59:59.0<NA>189434.721898441862.707623국제회의기획업관광사업<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><NA><NA>1703323682<NA><NA><NA><NA>
23170000CDFI226310201500000120110127<NA>1영업/정상13영업중<NA><NA><NA><NA>02-562-8328<NA><NA>서울특별시 금천구 가산동 550-9 에이스가산타워 602호서울특별시 금천구 디지털로 121, 에이스가산타워 602호 (가산동)8505(주)케이원커뮤니케이션2019-06-03 16:26:22U2019-06-05 02:40:00.0<NA>189325.86426441551.478094국제회의기획업<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><NA><NA><NA>50000000<NA><NA><NA><NA>
33170000CDFI22631020170000012017-06-29<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 327-32 대륭테크노타운12차 1405호서울특별시 금천구 가산디지털2로 14, 대륭테크노타운12차 1405호 (가산동)8592주식회사 케이원2023-04-06 17:41:56U2022-12-04 00:08:00.0<NA>189686.475440870.092609<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><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43170000CDFI226310201800000120180114<NA>1영업/정상13영업중<NA><NA><NA><NA>028638322<NA><NA>서울특별시 금천구 가산동 345-9 SK트윈테크타워 B동 504호서울특별시 금천구 가산디지털1로 119, SK트윈테크타워 B동 504호 (가산동)8589우리스포츠2018-01-14 17:42:28I2018-08-31 23:59:59.0<NA>189575.815288441503.181731국제회의기획업<NA><NA>5<NA><NA><NA><NA>5<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>160.82<NA><NA><NA><NA><NA><NA><NA><NA>60000000<NA><NA><NA>161
53170000CDFI226310201800000220180402<NA>3폐업3폐업20210713<NA><NA><NA>028650310<NA><NA>서울특별시 금천구 가산동 60-24 월드메르디앙1차 1511호서울특별시 금천구 벚꽃로 254, 월드메르디앙1차 1511호 (가산동)8511주식회사 베네핏커뮤니케이션2021-07-13 16:09:05U2021-07-15 02:40:00.0<NA>189788.849464441731.610479국제회의기획업<NA><NA>15<NA><NA><NA><NA>15<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>29.65<NA><NA><NA><NA><NA><NA><NA><NA>115000000<NA><NA><NA>30
63170000CDFI22631020180000042018-05-11<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 691 대륭테크노타운 20차서울특별시 금천구 가산디지털1로 5, 대륭테크노타운 20차 2001호 (가산동)8594(주)이투어리즘2023-12-18 10:37:40U2022-11-01 22:00:00.0<NA>189920.528611440521.855249<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><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73170000CDFI226310201800000520130610<NA>5제외/삭제/전출15전출20220411<NA><NA><NA>02-769-1952<NA><NA>서울특별시 금천구 가산동 426-5 월드메르디앙2차 1013호서울특별시 금천구 가산디지털2로 123, 월드메르디앙2차 1013호 (가산동)8505(주)오션커뮤니케이션2022-04-11 09:53:20U2021-12-03 23:03:00.0<NA>189202.600232441848.242999<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><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83170000CDFI226310201900000120190213<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 345-13 파트너스타워 204동 62호서울특별시 금천구 가산디지털1로 83, 파트너스타워 204-62호 (가산동)8589(주)티켓몹2019-02-13 09:49:41I2019-02-15 02:21:21.0<NA>189700.026949441229.110999국제회의기획업<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><NA><NA><NA><NA><NA><NA><NA><NA>
93170000CDFI226310201900000220190220<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6409-5544<NA><NA>서울특별시 금천구 가산동 345-13 파트너스타워 204호서울특별시 금천구 가산디지털1로 83, 파트너스타워 204호 (가산동)8589(주)더블유모션2019-02-20 09:06:19I2019-02-22 02:21:29.0<NA>189700.026949441229.110999국제회의기획업<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><NA><NA><NA>100000000<NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
223170000CDFI226310202200000120220511<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2224-0977<NA><NA>서울특별시 금천구 가산동 691 대륭테크노타운 20차서울특별시 금천구 가산디지털1로 5, 대륭테크노타운 20차 1014호 (가산동)8594주식회사 엔케이글로벌홀딩스2022-09-19 13:25:29U2021-12-08 22:01:00.0<NA>189920.528611440521.855249<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><NA><NA><NA><NA><NA><NA><NA><NA><NA>
233170000CDFI226310202200000220220525<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2224-0977<NA><NA>서울특별시 금천구 가산동 691 대륭테크노타운 20차 1014호서울특별시 금천구 가산디지털1로 5, 대륭테크노타운 20차 1014호 (가산동)8594주식회사 메디앤코리아2022-05-25 17:40:42I2021-12-04 22:07:00.0<NA>189920.528611440521.855249<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><NA><NA><NA><NA><NA><NA><NA><NA><NA>
243170000CDFI22631020230000012023-03-02<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6123-7880<NA><NA>서울특별시 금천구 가산동 60-3 대륭포스트타워 5차서울특별시 금천구 디지털로9길 68, 대륭포스트타워 5차 507,508,509호 (가산동)8512주식회사 라이온코리아2023-03-02 16:52:51I2022-12-03 00:04:00.0<NA>189877.178944442093.648597<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><NA><NA><NA><NA><NA><NA><NA><NA><NA>
253170000CDFI22631020230000022023-05-17<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6674-6120<NA><NA>서울특별시 금천구 가산동 505-18 에이스하이엔드타워5차서울특별시 금천구 가산디지털1로 226, 에이스하이엔드타워5차 1404호 (가산동)8502네이처스페이스 주식회사2023-05-17 10:48:36I2022-12-04 23:09:00.0<NA>189314.711435442585.933235<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><NA><NA><NA><NA><NA><NA><NA><NA><NA>
263170000CDFI22631020230000032023-05-30<NA>1영업/정상13영업중<NA><NA><NA><NA>02-394-1821<NA><NA>서울특별시 금천구 가산동 345-9 SK트윈테크타워서울특별시 금천구 가산디지털1로 119, SK트윈테크타워 에이동 303,304호 (가산동)8589주식회사 네오누리콤2023-05-30 15:53:14I2022-12-06 00:01:00.0<NA>189575.815288441503.181731<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><NA><NA><NA><NA><NA><NA><NA><NA><NA>
273170000CDFI22631020230000042023-06-12<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 60-3 대륭포스트타워 5차서울특별시 금천구 디지털로9길 68, 대륭포스트타워 5차 1001호 (가산동)8512주식회사 워드캣2023-08-21 16:36:54U2022-12-07 22:03:00.0<NA>189877.178944442093.648597<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><NA><NA><NA><NA><NA><NA><NA><NA><NA>
283170000CDFI22631020230000052023-08-24<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 371-17 BYC HIGHCITY서울특별시 금천구 가산디지털1로 131, BYC HIGHCITY 지하2층 비206호 (가산동)8506한결엠2023-08-24 17:52:44I2022-12-07 22:06:00.0<NA>189522.336722441654.010373<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><NA><NA><NA><NA><NA><NA><NA><NA><NA>
293170000CDFI22631020230000062023-11-02<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 371-63서울특별시 금천구 가산디지털1로 146, 611호 (가산동)8507주식회사 봄컴퍼니2023-11-02 13:03:44I2022-11-01 00:04:00.0<NA>189590.415185441837.131446<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><NA><NA><NA><NA><NA><NA><NA><NA><NA>
303170000CDFI22631020240000012024-01-11<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6747-7513<NA><NA>서울특별시 금천구 가산동 371-41 가산 에스케이 브이원 센터서울특별시 금천구 가산디지털1로 171, 가산 에스케이 브이원 센터 301호 (가산동)8503마인즈그라운드 주식회사2024-01-11 13:57:03I2023-11-30 23:03:00.0<NA>189378.332494442066.998665<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><NA><NA><NA><NA><NA><NA><NA><NA><NA>
313170000CDFI22631020240000022024-04-01<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 459-23 에이스 비즈포레 지식산업센터서울특별시 금천구 가산디지털2로 173, 에이스 비즈포레 지식산업센터 915호 (가산동)8500(주)쿨웨이브2024-04-01 13:58:50I2023-12-04 00:03:00.0<NA>189065.818335442338.14413<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><NA><NA><NA><NA><NA><NA><NA><NA><NA>