Overview

Dataset statistics

Number of variables60
Number of observations1104
Missing cells29361
Missing cells (%)44.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory558.6 KiB
Average record size in memory518.1 B

Variable types

Numeric10
Text9
DateTime4
Categorical19
Unsupported18

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
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-16034/S/1/datasetView.do

Alerts

인허가취소일자 is highly imbalanced (97.0%)Imbalance
영업상태코드 is highly imbalanced (51.6%)Imbalance
영업상태명 is highly imbalanced (51.6%)Imbalance
상세영업상태명 is highly imbalanced (64.5%)Imbalance
지역구분명 is highly imbalanced (91.9%)Imbalance
주변환경명 is highly imbalanced (93.2%)Imbalance
건물용도명 is highly imbalanced (86.2%)Imbalance
영문상호주소 is highly imbalanced (81.1%)Imbalance
폐업일자 has 900 (81.5%) missing valuesMissing
휴업시작일자 has 1104 (100.0%) missing valuesMissing
휴업종료일자 has 1104 (100.0%) missing valuesMissing
재개업일자 has 1104 (100.0%) missing valuesMissing
전화번호 has 272 (24.6%) missing valuesMissing
소재지면적 has 1104 (100.0%) missing valuesMissing
소재지우편번호 has 876 (79.3%) missing valuesMissing
도로명주소 has 14 (1.3%) missing valuesMissing
도로명우편번호 has 117 (10.6%) missing valuesMissing
업태구분명 has 1104 (100.0%) missing valuesMissing
좌표정보(X) has 31 (2.8%) missing valuesMissing
좌표정보(Y) has 31 (2.8%) missing valuesMissing
총층수 has 941 (85.2%) missing valuesMissing
제작취급품목내용 has 1104 (100.0%) missing valuesMissing
보험기관명 has 1100 (99.6%) missing valuesMissing
지상층수 has 929 (84.1%) missing valuesMissing
지하층수 has 945 (85.6%) missing valuesMissing
영문상호명 has 974 (88.2%) missing valuesMissing
선박제원 has 1104 (100.0%) missing valuesMissing
기념품종류 has 1104 (100.0%) missing valuesMissing
시설면적 has 881 (79.8%) missing valuesMissing
놀이기구수내역 has 1104 (100.0%) missing valuesMissing
방송시설유무 has 1104 (100.0%) missing valuesMissing
발전시설유무 has 1104 (100.0%) missing valuesMissing
의무실유무 has 1104 (100.0%) missing valuesMissing
안내소유무 has 1104 (100.0%) missing valuesMissing
기획여행보험시작일자 has 1104 (100.0%) missing valuesMissing
기획여행보험종료일자 has 1104 (100.0%) missing valuesMissing
자본금 has 597 (54.1%) missing valuesMissing
보험시작일자 has 1104 (100.0%) missing valuesMissing
보험종료일자 has 1104 (100.0%) missing valuesMissing
부대시설내역 has 1104 (100.0%) missing valuesMissing
시설규모 has 881 (79.8%) missing valuesMissing
최종수정일자 has unique valuesUnique
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
선박제원 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
놀이기구수내역 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
총층수 has 146 (13.2%) zerosZeros
지상층수 has 145 (13.1%) zerosZeros
지하층수 has 145 (13.1%) zerosZeros
시설면적 has 125 (11.3%) zerosZeros
자본금 has 48 (4.3%) zerosZeros
시설규모 has 125 (11.3%) zerosZeros

Reproduction

Analysis started2024-04-06 12:10:18.965575
Analysis finished2024-04-06 12:10:21.275412
Duration2.31 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Real number (ℝ)

Distinct24
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3149202.9
Minimum3000000
Maximum3240000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.8 KiB
2024-04-06T21:10:21.412148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3000000
5-th percentile3010000
Q13120000
median3180000
Q33220000
95-th percentile3230000
Maximum3240000
Range240000
Interquartile range (IQR)100000

Descriptive statistics

Standard deviation80018.689
Coefficient of variation (CV)0.025409188
Kurtosis-0.92677674
Mean3149202.9
Median Absolute Deviation (MAD)40000
Skewness-0.76342614
Sum3.47672 × 109
Variance6.4029905 × 109
MonotonicityNot monotonic
2024-04-06T21:10:21.675410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
3220000 285
25.8%
3130000 143
13.0%
3210000 129
11.7%
3180000 88
 
8.0%
3010000 81
 
7.3%
3230000 60
 
5.4%
3000000 55
 
5.0%
3030000 50
 
4.5%
3020000 33
 
3.0%
3170000 32
 
2.9%
Other values (14) 148
13.4%
ValueCountFrequency (%)
3000000 55
5.0%
3010000 81
7.3%
3020000 33
3.0%
3030000 50
4.5%
3040000 18
 
1.6%
3050000 13
 
1.2%
3060000 4
 
0.4%
3070000 8
 
0.7%
3090000 2
 
0.2%
3100000 4
 
0.4%
ValueCountFrequency (%)
3240000 8
 
0.7%
3230000 60
 
5.4%
3220000 285
25.8%
3210000 129
11.7%
3200000 7
 
0.6%
3190000 6
 
0.5%
3180000 88
 
8.0%
3170000 32
 
2.9%
3160000 17
 
1.5%
3150000 31
 
2.8%
Distinct338
Distinct (%)30.6%
Missing0
Missing (%)0.0%
Memory size8.8 KiB
2024-04-06T21:10:22.059468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters22080
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

Unique150 ?
Unique (%)13.6%

Sample

1st rowCDFI2263102023000001
2nd rowCDFI2263102023000005
3rd rowCDFI2263102023000002
4th rowCDFI2263102023000002
5th rowCDFI2263102020000008
ValueCountFrequency (%)
cdfi2263102021000001 18
 
1.6%
cdfi2263102023000001 17
 
1.5%
cdfi2263102022000001 17
 
1.5%
cdfi2263102018000001 16
 
1.4%
cdfi2263102020000001 16
 
1.4%
cdfi2263102024000001 15
 
1.4%
cdfi2263102019000001 15
 
1.4%
cdfi2263102022000002 15
 
1.4%
cdfi2263102023000002 14
 
1.3%
cdfi2263102020000002 14
 
1.3%
Other values (328) 947
85.8%
2024-04-06T21:10:22.825385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 7873
35.7%
2 4075
18.5%
1 2159
 
9.8%
3 1422
 
6.4%
6 1256
 
5.7%
C 1104
 
5.0%
D 1104
 
5.0%
F 1104
 
5.0%
I 1104
 
5.0%
9 225
 
1.0%
Other values (4) 654
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 17664
80.0%
Uppercase Letter 4416
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7873
44.6%
2 4075
23.1%
1 2159
 
12.2%
3 1422
 
8.1%
6 1256
 
7.1%
9 225
 
1.3%
4 193
 
1.1%
5 159
 
0.9%
7 155
 
0.9%
8 147
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
C 1104
25.0%
D 1104
25.0%
F 1104
25.0%
I 1104
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 17664
80.0%
Latin 4416
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7873
44.6%
2 4075
23.1%
1 2159
 
12.2%
3 1422
 
8.1%
6 1256
 
7.1%
9 225
 
1.3%
4 193
 
1.1%
5 159
 
0.9%
7 155
 
0.9%
8 147
 
0.8%
Latin
ValueCountFrequency (%)
C 1104
25.0%
D 1104
25.0%
F 1104
25.0%
I 1104
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 22080
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7873
35.7%
2 4075
18.5%
1 2159
 
9.8%
3 1422
 
6.4%
6 1256
 
5.7%
C 1104
 
5.0%
D 1104
 
5.0%
F 1104
 
5.0%
I 1104
 
5.0%
9 225
 
1.0%
Other values (4) 654
 
3.0%
Distinct896
Distinct (%)81.2%
Missing0
Missing (%)0.0%
Memory size8.8 KiB
Minimum1988-06-09 00:00:00
Maximum2024-04-01 00:00:00
2024-04-06T21:10:23.132101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:10:23.419050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.8 KiB
<NA>
1096 
20181004
 
4
20191016
 
1
20180417
 
1
20120424
 
1

Length

Max length8
Median length4
Mean length4.0289855
Min length4

Unique

Unique4 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1096
99.3%
20181004 4
 
0.4%
20191016 1
 
0.1%
20180417 1
 
0.1%
20120424 1
 
0.1%
20160429 1
 
0.1%

Length

2024-04-06T21:10:23.777055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:10:24.045706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1096
99.3%
20181004 4
 
0.4%
20191016 1
 
0.1%
20180417 1
 
0.1%
20120424 1
 
0.1%
20160429 1
 
0.1%

영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size8.8 KiB
1
887 
3
111 
5
91 
4
 
15

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 887
80.3%
3 111
 
10.1%
5 91
 
8.2%
4 15
 
1.4%

Length

2024-04-06T21:10:24.294454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:10:24.582456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 887
80.3%
3 111
 
10.1%
5 91
 
8.2%
4 15
 
1.4%

영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size8.8 KiB
영업/정상
887 
폐업
111 
제외/삭제/전출
91 
취소/말소/만료/정지/중지
 
15

Length

Max length14
Median length5
Mean length5.0679348
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 887
80.3%
폐업 111
 
10.1%
제외/삭제/전출 91
 
8.2%
취소/말소/만료/정지/중지 15
 
1.4%

Length

2024-04-06T21:10:24.904733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:10:25.096653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 887
80.3%
폐업 111
 
10.1%
제외/삭제/전출 91
 
8.2%
취소/말소/만료/정지/중지 15
 
1.4%

상세영업상태코드
Real number (ℝ)

Distinct7
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.423007
Minimum3
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.8 KiB
2024-04-06T21:10:25.344396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q113
median13
Q313
95-th percentile15
Maximum35
Range32
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.8959094
Coefficient of variation (CV)0.31360438
Kurtosis10.162656
Mean12.423007
Median Absolute Deviation (MAD)0
Skewness0.45342369
Sum13715
Variance15.17811
MonotonicityNot monotonic
2024-04-06T21:10:25.524767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
13 886
80.3%
3 111
 
10.1%
15 91
 
8.2%
31 8
 
0.7%
33 4
 
0.4%
35 3
 
0.3%
14 1
 
0.1%
ValueCountFrequency (%)
3 111
 
10.1%
13 886
80.3%
14 1
 
0.1%
15 91
 
8.2%
31 8
 
0.7%
33 4
 
0.4%
35 3
 
0.3%
ValueCountFrequency (%)
35 3
 
0.3%
33 4
 
0.4%
31 8
 
0.7%
15 91
 
8.2%
14 1
 
0.1%
13 886
80.3%
3 111
 
10.1%

상세영업상태명
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size8.8 KiB
영업중
886 
폐업
111 
전출
91 
등록취소
 
8
지정취소
 
4
Other values (2)
 
4

Length

Max length4
Median length3
Mean length2.8297101
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 886
80.3%
폐업 111
 
10.1%
전출 91
 
8.2%
등록취소 8
 
0.7%
지정취소 4
 
0.4%
직권말소 3
 
0.3%
전입 1
 
0.1%

Length

2024-04-06T21:10:25.774583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:10:25.986115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 886
80.3%
폐업 111
 
10.1%
전출 91
 
8.2%
등록취소 8
 
0.7%
지정취소 4
 
0.4%
직권말소 3
 
0.3%
전입 1
 
0.1%

폐업일자
Date

MISSING 

Distinct186
Distinct (%)91.2%
Missing900
Missing (%)81.5%
Memory size8.8 KiB
Minimum2005-10-21 00:00:00
Maximum2024-04-04 00:00:00
2024-04-06T21:10:26.227045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:10:26.466716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1104
Missing (%)100.0%
Memory size9.8 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1104
Missing (%)100.0%
Memory size9.8 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1104
Missing (%)100.0%
Memory size9.8 KiB

전화번호
Text

MISSING 

Distinct799
Distinct (%)96.0%
Missing272
Missing (%)24.6%
Memory size8.8 KiB
2024-04-06T21:10:27.217272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length17
Mean length10.552885
Min length7

Characters and Unicode

Total characters8780
Distinct characters16
Distinct categories6 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique767 ?
Unique (%)92.2%

Sample

1st row0264189433
2nd row02-6000-4292
3rd row02-6677-0532
4th row02-783-3181/
5th row02-3143-7250
ValueCountFrequency (%)
02 23
 
2.6%
02-2058-0012 3
 
0.3%
070 3
 
0.3%
02-942-4248 2
 
0.2%
02-720-7377 2
 
0.2%
3445-9670 2
 
0.2%
02-6313-8042 2
 
0.2%
02-6013-8863 2
 
0.2%
564-5666 2
 
0.2%
02-587-8327 2
 
0.2%
Other values (805) 829
95.1%
2024-04-06T21:10:27.875638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1477
16.8%
2 1234
14.1%
- 1196
13.6%
5 805
9.2%
7 658
7.5%
3 653
7.4%
6 620
7.1%
1 610
6.9%
4 567
 
6.5%
8 494
 
5.6%
Other values (6) 466
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7512
85.6%
Dash Punctuation 1196
 
13.6%
Space Separator 59
 
0.7%
Close Punctuation 5
 
0.1%
Math Symbol 4
 
< 0.1%
Other Punctuation 4
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1477
19.7%
2 1234
16.4%
5 805
10.7%
7 658
8.8%
3 653
8.7%
6 620
8.3%
1 610
8.1%
4 567
 
7.5%
8 494
 
6.6%
9 394
 
5.2%
Other Punctuation
ValueCountFrequency (%)
, 3
75.0%
/ 1
 
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 1196
100.0%
Space Separator
ValueCountFrequency (%)
59
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8780
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1477
16.8%
2 1234
14.1%
- 1196
13.6%
5 805
9.2%
7 658
7.5%
3 653
7.4%
6 620
7.1%
1 610
6.9%
4 567
 
6.5%
8 494
 
5.6%
Other values (6) 466
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8780
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1477
16.8%
2 1234
14.1%
- 1196
13.6%
5 805
9.2%
7 658
7.5%
3 653
7.4%
6 620
7.1%
1 610
6.9%
4 567
 
6.5%
8 494
 
5.6%
Other values (6) 466
 
5.3%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1104
Missing (%)100.0%
Memory size9.8 KiB

소재지우편번호
Text

MISSING 

Distinct186
Distinct (%)81.6%
Missing876
Missing (%)79.3%
Memory size8.8 KiB
2024-04-06T21:10:28.560297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0745614
Min length6

Characters and Unicode

Total characters1385
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

Unique150 ?
Unique (%)65.8%

Sample

1st row110450
2nd row140-893
3rd row135-833
4th row120-715
5th row135878
ValueCountFrequency (%)
150010 5
 
2.2%
133832 3
 
1.3%
121904 3
 
1.3%
137862 3
 
1.3%
135815 2
 
0.9%
135949 2
 
0.9%
135937 2
 
0.9%
100706 2
 
0.9%
121893 2
 
0.9%
121736 2
 
0.9%
Other values (176) 202
88.6%
2024-04-06T21:10:29.453179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 346
25.0%
0 195
14.1%
3 185
13.4%
8 152
11.0%
5 109
 
7.9%
7 104
 
7.5%
2 102
 
7.4%
4 72
 
5.2%
9 65
 
4.7%
6 38
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1368
98.8%
Dash Punctuation 17
 
1.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 346
25.3%
0 195
14.3%
3 185
13.5%
8 152
11.1%
5 109
 
8.0%
7 104
 
7.6%
2 102
 
7.5%
4 72
 
5.3%
9 65
 
4.8%
6 38
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1385
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 346
25.0%
0 195
14.1%
3 185
13.4%
8 152
11.0%
5 109
 
7.9%
7 104
 
7.5%
2 102
 
7.4%
4 72
 
5.2%
9 65
 
4.7%
6 38
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1385
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 346
25.0%
0 195
14.1%
3 185
13.4%
8 152
11.0%
5 109
 
7.9%
7 104
 
7.5%
2 102
 
7.4%
4 72
 
5.2%
9 65
 
4.7%
6 38
 
2.7%
Distinct1050
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Memory size8.8 KiB
2024-04-06T21:10:30.071498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length39
Mean length26.568841
Min length14

Characters and Unicode

Total characters29332
Distinct characters442
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1003 ?
Unique (%)90.9%

Sample

1st row서울특별시 강서구 방화동 193-11 불해빌딩
2nd row서울특별시 강남구 삼성동 107 삼성동 미켈란 107
3rd row서울특별시 성동구 용답동 232-1 신창비바패밀리
4th row서울특별시 중구 다동 10 한국관광공사 서울센터
5th row서울특별시 강남구 논현동 75-8 서흥빌딩
ValueCountFrequency (%)
서울특별시 1104
 
18.9%
강남구 284
 
4.9%
마포구 143
 
2.5%
서초구 128
 
2.2%
영등포구 88
 
1.5%
중구 81
 
1.4%
역삼동 79
 
1.4%
논현동 71
 
1.2%
송파구 60
 
1.0%
삼성동 60
 
1.0%
Other values (2032) 3730
64.0%
2024-04-06T21:10:31.032004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5171
 
17.6%
1434
 
4.9%
1 1235
 
4.2%
1221
 
4.2%
1146
 
3.9%
1131
 
3.9%
1126
 
3.8%
1106
 
3.8%
1104
 
3.8%
- 874
 
3.0%
Other values (432) 13784
47.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17049
58.1%
Decimal Number 5756
 
19.6%
Space Separator 5171
 
17.6%
Dash Punctuation 874
 
3.0%
Uppercase Letter 312
 
1.1%
Lowercase Letter 95
 
0.3%
Other Punctuation 33
 
0.1%
Open Punctuation 18
 
0.1%
Close Punctuation 18
 
0.1%
Letter Number 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1434
 
8.4%
1221
 
7.2%
1146
 
6.7%
1131
 
6.6%
1126
 
6.6%
1106
 
6.5%
1104
 
6.5%
356
 
2.1%
337
 
2.0%
337
 
2.0%
Other values (370) 7751
45.5%
Uppercase Letter
ValueCountFrequency (%)
C 39
12.5%
B 29
 
9.3%
S 26
 
8.3%
A 21
 
6.7%
E 20
 
6.4%
M 19
 
6.1%
K 18
 
5.8%
T 18
 
5.8%
D 15
 
4.8%
N 13
 
4.2%
Other values (14) 94
30.1%
Lowercase Letter
ValueCountFrequency (%)
e 26
27.4%
r 14
14.7%
t 12
12.6%
n 9
 
9.5%
c 9
 
9.5%
o 5
 
5.3%
a 4
 
4.2%
i 3
 
3.2%
l 3
 
3.2%
w 3
 
3.2%
Other values (6) 7
 
7.4%
Decimal Number
ValueCountFrequency (%)
1 1235
21.5%
2 797
13.8%
3 611
10.6%
4 543
9.4%
5 532
9.2%
0 499
8.7%
6 464
 
8.1%
7 384
 
6.7%
9 355
 
6.2%
8 336
 
5.8%
Letter Number
ValueCountFrequency (%)
2
40.0%
1
20.0%
1
20.0%
1
20.0%
Other Punctuation
ValueCountFrequency (%)
, 30
90.9%
. 2
 
6.1%
/ 1
 
3.0%
Space Separator
ValueCountFrequency (%)
5171
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 874
100.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17047
58.1%
Common 11871
40.5%
Latin 412
 
1.4%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1434
 
8.4%
1221
 
7.2%
1146
 
6.7%
1131
 
6.6%
1126
 
6.6%
1106
 
6.5%
1104
 
6.5%
356
 
2.1%
337
 
2.0%
337
 
2.0%
Other values (368) 7749
45.5%
Latin
ValueCountFrequency (%)
C 39
 
9.5%
B 29
 
7.0%
e 26
 
6.3%
S 26
 
6.3%
A 21
 
5.1%
E 20
 
4.9%
M 19
 
4.6%
K 18
 
4.4%
T 18
 
4.4%
D 15
 
3.6%
Other values (34) 181
43.9%
Common
ValueCountFrequency (%)
5171
43.6%
1 1235
 
10.4%
- 874
 
7.4%
2 797
 
6.7%
3 611
 
5.1%
4 543
 
4.6%
5 532
 
4.5%
0 499
 
4.2%
6 464
 
3.9%
7 384
 
3.2%
Other values (8) 761
 
6.4%
Han
ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17047
58.1%
ASCII 12278
41.9%
Number Forms 5
 
< 0.1%
CJK 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5171
42.1%
1 1235
 
10.1%
- 874
 
7.1%
2 797
 
6.5%
3 611
 
5.0%
4 543
 
4.4%
5 532
 
4.3%
0 499
 
4.1%
6 464
 
3.8%
7 384
 
3.1%
Other values (48) 1168
 
9.5%
Hangul
ValueCountFrequency (%)
1434
 
8.4%
1221
 
7.2%
1146
 
6.7%
1131
 
6.6%
1126
 
6.6%
1106
 
6.5%
1104
 
6.5%
356
 
2.1%
337
 
2.0%
337
 
2.0%
Other values (368) 7749
45.5%
Number Forms
ValueCountFrequency (%)
2
40.0%
1
20.0%
1
20.0%
1
20.0%
CJK
ValueCountFrequency (%)
1
50.0%
1
50.0%

도로명주소
Text

MISSING 

Distinct1074
Distinct (%)98.5%
Missing14
Missing (%)1.3%
Memory size8.8 KiB
2024-04-06T21:10:31.720670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length52
Mean length36.011009
Min length21

Characters and Unicode

Total characters39252
Distinct characters476
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1058 ?
Unique (%)97.1%

Sample

1st row서울특별시 강서구 방화대로34길 92, 불해빌딩 306호 (방화동)
2nd row서울특별시 강남구 영동대로 602, 6층 A106호 (삼성동, 삼성동 미켈란 107)
3rd row서울특별시 성동구 천호대로 400, 1층 101호 (용답동, 신창비바패밀리)
4th row서울특별시 중구 청계천로 40, 한국관광공사 서울센터 7층 (다동)
5th row서울특별시 강남구 학동로33길 41, 서흥빌딩 3층 (논현동)
ValueCountFrequency (%)
서울특별시 1090
 
14.6%
강남구 280
 
3.8%
마포구 142
 
1.9%
서초구 124
 
1.7%
3층 88
 
1.2%
영등포구 86
 
1.2%
중구 81
 
1.1%
4층 78
 
1.0%
역삼동 73
 
1.0%
2층 73
 
1.0%
Other values (2318) 5351
71.7%
2024-04-06T21:10:32.756662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6480
 
16.5%
1465
 
3.7%
1 1447
 
3.7%
1324
 
3.4%
1223
 
3.1%
, 1217
 
3.1%
1136
 
2.9%
1120
 
2.9%
1115
 
2.8%
) 1105
 
2.8%
Other values (466) 21620
55.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 22406
57.1%
Space Separator 6480
 
16.5%
Decimal Number 6308
 
16.1%
Other Punctuation 1221
 
3.1%
Close Punctuation 1105
 
2.8%
Open Punctuation 1105
 
2.8%
Uppercase Letter 360
 
0.9%
Dash Punctuation 155
 
0.4%
Lowercase Letter 101
 
0.3%
Math Symbol 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1465
 
6.5%
1324
 
5.9%
1223
 
5.5%
1136
 
5.1%
1120
 
5.0%
1115
 
5.0%
1093
 
4.9%
1090
 
4.9%
546
 
2.4%
541
 
2.4%
Other values (404) 11753
52.5%
Uppercase Letter
ValueCountFrequency (%)
C 47
13.1%
B 44
12.2%
A 37
 
10.3%
S 30
 
8.3%
E 21
 
5.8%
K 20
 
5.6%
M 20
 
5.6%
T 17
 
4.7%
D 16
 
4.4%
L 13
 
3.6%
Other values (14) 95
26.4%
Lowercase Letter
ValueCountFrequency (%)
e 28
27.7%
r 15
14.9%
t 13
12.9%
n 10
 
9.9%
c 10
 
9.9%
o 5
 
5.0%
a 4
 
4.0%
w 3
 
3.0%
l 3
 
3.0%
i 3
 
3.0%
Other values (6) 7
 
6.9%
Decimal Number
ValueCountFrequency (%)
1 1447
22.9%
2 908
14.4%
0 717
11.4%
3 709
11.2%
4 537
 
8.5%
5 530
 
8.4%
6 450
 
7.1%
7 359
 
5.7%
8 332
 
5.3%
9 319
 
5.1%
Letter Number
ValueCountFrequency (%)
2
40.0%
1
20.0%
1
20.0%
1
20.0%
Other Punctuation
ValueCountFrequency (%)
, 1217
99.7%
. 3
 
0.2%
/ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
6480
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1105
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1105
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 155
100.0%
Math Symbol
ValueCountFrequency (%)
~ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 22404
57.1%
Common 16380
41.7%
Latin 466
 
1.2%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1465
 
6.5%
1324
 
5.9%
1223
 
5.5%
1136
 
5.1%
1120
 
5.0%
1115
 
5.0%
1093
 
4.9%
1090
 
4.9%
546
 
2.4%
541
 
2.4%
Other values (402) 11751
52.5%
Latin
ValueCountFrequency (%)
C 47
 
10.1%
B 44
 
9.4%
A 37
 
7.9%
S 30
 
6.4%
e 28
 
6.0%
E 21
 
4.5%
K 20
 
4.3%
M 20
 
4.3%
T 17
 
3.6%
D 16
 
3.4%
Other values (34) 186
39.9%
Common
ValueCountFrequency (%)
6480
39.6%
1 1447
 
8.8%
, 1217
 
7.4%
) 1105
 
6.7%
( 1105
 
6.7%
2 908
 
5.5%
0 717
 
4.4%
3 709
 
4.3%
4 537
 
3.3%
5 530
 
3.2%
Other values (8) 1625
 
9.9%
Han
ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 22404
57.1%
ASCII 16841
42.9%
Number Forms 5
 
< 0.1%
CJK 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6480
38.5%
1 1447
 
8.6%
, 1217
 
7.2%
) 1105
 
6.6%
( 1105
 
6.6%
2 908
 
5.4%
0 717
 
4.3%
3 709
 
4.2%
4 537
 
3.2%
5 530
 
3.1%
Other values (48) 2086
 
12.4%
Hangul
ValueCountFrequency (%)
1465
 
6.5%
1324
 
5.9%
1223
 
5.5%
1136
 
5.1%
1120
 
5.0%
1115
 
5.0%
1093
 
4.9%
1090
 
4.9%
546
 
2.4%
541
 
2.4%
Other values (402) 11751
52.5%
Number Forms
ValueCountFrequency (%)
2
40.0%
1
20.0%
1
20.0%
1
20.0%
CJK
ValueCountFrequency (%)
1
50.0%
1
50.0%

도로명우편번호
Text

MISSING 

Distinct603
Distinct (%)61.1%
Missing117
Missing (%)10.6%
Memory size8.8 KiB
2024-04-06T21:10:33.444829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.0233029
Min length5

Characters and Unicode

Total characters4958
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

Unique393 ?
Unique (%)39.8%

Sample

1st row07595
2nd row06083
3rd row04808
4th row04521
5th row06051
ValueCountFrequency (%)
05836 10
 
1.0%
06164 8
 
0.8%
07788 8
 
0.8%
05854 8
 
0.8%
04516 7
 
0.7%
03186 6
 
0.6%
04799 6
 
0.6%
06028 6
 
0.6%
06143 5
 
0.5%
06173 5
 
0.5%
Other values (593) 918
93.0%
2024-04-06T21:10:34.386546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1317
26.6%
6 608
12.3%
3 464
 
9.4%
4 443
 
8.9%
5 406
 
8.2%
7 398
 
8.0%
1 394
 
7.9%
2 344
 
6.9%
8 330
 
6.7%
9 252
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4956
> 99.9%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1317
26.6%
6 608
12.3%
3 464
 
9.4%
4 443
 
8.9%
5 406
 
8.2%
7 398
 
8.0%
1 394
 
7.9%
2 344
 
6.9%
8 330
 
6.7%
9 252
 
5.1%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4958
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1317
26.6%
6 608
12.3%
3 464
 
9.4%
4 443
 
8.9%
5 406
 
8.2%
7 398
 
8.0%
1 394
 
7.9%
2 344
 
6.9%
8 330
 
6.7%
9 252
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4958
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1317
26.6%
6 608
12.3%
3 464
 
9.4%
4 443
 
8.9%
5 406
 
8.2%
7 398
 
8.0%
1 394
 
7.9%
2 344
 
6.9%
8 330
 
6.7%
9 252
 
5.1%
Distinct1034
Distinct (%)93.7%
Missing0
Missing (%)0.0%
Memory size8.8 KiB
2024-04-06T21:10:34.848089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length30
Mean length9.6530797
Min length2

Characters and Unicode

Total characters10657
Distinct characters469
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

Unique969 ?
Unique (%)87.8%

Sample

1st row(주)코비플랜
2nd row(주)이아이크리에이티브
3rd row주식회사 더홀릭스
4th row위호스트
5th row에코마이스 주식회사
ValueCountFrequency (%)
주식회사 308
 
20.8%
5
 
0.3%
유한회사 4
 
0.3%
사단법인 4
 
0.3%
주)더감동팩토리 3
 
0.2%
co 3
 
0.2%
3
 
0.2%
ltd 3
 
0.2%
주)아임커뮤니케이션즈 3
 
0.2%
주)지디엠씨 3
 
0.2%
Other values (1072) 1145
77.2%
2024-04-06T21:10:35.635902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
995
 
9.3%
) 709
 
6.7%
( 708
 
6.6%
532
 
5.0%
380
 
3.6%
357
 
3.3%
350
 
3.3%
327
 
3.1%
313
 
2.9%
193
 
1.8%
Other values (459) 5793
54.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8607
80.8%
Close Punctuation 709
 
6.7%
Open Punctuation 708
 
6.6%
Space Separator 380
 
3.6%
Uppercase Letter 129
 
1.2%
Lowercase Letter 94
 
0.9%
Other Punctuation 18
 
0.2%
Decimal Number 5
 
< 0.1%
Other Symbol 4
 
< 0.1%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
995
 
11.6%
532
 
6.2%
357
 
4.1%
350
 
4.1%
327
 
3.8%
313
 
3.6%
193
 
2.2%
176
 
2.0%
166
 
1.9%
164
 
1.9%
Other values (408) 5034
58.5%
Uppercase Letter
ValueCountFrequency (%)
C 13
 
10.1%
E 12
 
9.3%
T 10
 
7.8%
M 10
 
7.8%
I 9
 
7.0%
N 9
 
7.0%
A 9
 
7.0%
O 8
 
6.2%
S 8
 
6.2%
D 7
 
5.4%
Other values (11) 34
26.4%
Lowercase Letter
ValueCountFrequency (%)
n 12
12.8%
e 12
12.8%
i 11
11.7%
o 10
10.6%
t 7
7.4%
r 7
7.4%
a 6
 
6.4%
m 5
 
5.3%
d 5
 
5.3%
c 4
 
4.3%
Other values (7) 15
16.0%
Decimal Number
ValueCountFrequency (%)
1 2
40.0%
2 1
20.0%
9 1
20.0%
5 1
20.0%
Other Punctuation
ValueCountFrequency (%)
. 11
61.1%
, 5
27.8%
& 2
 
11.1%
Close Punctuation
ValueCountFrequency (%)
) 709
100.0%
Open Punctuation
ValueCountFrequency (%)
( 708
100.0%
Space Separator
ValueCountFrequency (%)
380
100.0%
Other Symbol
ValueCountFrequency (%)
4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8611
80.8%
Common 1823
 
17.1%
Latin 223
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
995
 
11.6%
532
 
6.2%
357
 
4.1%
350
 
4.1%
327
 
3.8%
313
 
3.6%
193
 
2.2%
176
 
2.0%
166
 
1.9%
164
 
1.9%
Other values (409) 5038
58.5%
Latin
ValueCountFrequency (%)
C 13
 
5.8%
E 12
 
5.4%
n 12
 
5.4%
e 12
 
5.4%
i 11
 
4.9%
T 10
 
4.5%
o 10
 
4.5%
M 10
 
4.5%
I 9
 
4.0%
N 9
 
4.0%
Other values (28) 115
51.6%
Common
ValueCountFrequency (%)
) 709
38.9%
( 708
38.8%
380
20.8%
. 11
 
0.6%
, 5
 
0.3%
& 2
 
0.1%
- 2
 
0.1%
1 2
 
0.1%
2 1
 
0.1%
+ 1
 
0.1%
Other values (2) 2
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8607
80.8%
ASCII 2046
 
19.2%
None 4
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
995
 
11.6%
532
 
6.2%
357
 
4.1%
350
 
4.1%
327
 
3.8%
313
 
3.6%
193
 
2.2%
176
 
2.0%
166
 
1.9%
164
 
1.9%
Other values (408) 5034
58.5%
ASCII
ValueCountFrequency (%)
) 709
34.7%
( 708
34.6%
380
18.6%
C 13
 
0.6%
E 12
 
0.6%
n 12
 
0.6%
e 12
 
0.6%
. 11
 
0.5%
i 11
 
0.5%
T 10
 
0.5%
Other values (40) 168
 
8.2%
None
ValueCountFrequency (%)
4
100.0%

최종수정일자
Date

UNIQUE 

Distinct1104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size8.8 KiB
Minimum2005-06-17 09:40:21
Maximum2024-04-04 16:07:54
2024-04-06T21:10:35.878417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:10:36.126754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.8 KiB
I
597 
U
507 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 597
54.1%
U 507
45.9%

Length

2024-04-06T21:10:36.501529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:10:36.713879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 597
54.1%
u 507
45.9%
Distinct529
Distinct (%)47.9%
Missing0
Missing (%)0.0%
Memory size8.8 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:06:00
2024-04-06T21:10:36.919971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:10:37.204479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1104
Missing (%)100.0%
Memory size9.8 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct906
Distinct (%)84.4%
Missing31
Missing (%)2.8%
Infinite0
Infinite (%)0.0%
Mean199426.48
Minimum183382.86
Maximum212719.59
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.8 KiB
2024-04-06T21:10:37.461461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum183382.86
5-th percentile189859.07
Q1193808.97
median200649.63
Q3203878.66
95-th percentile208895.67
Maximum212719.59
Range29336.732
Interquartile range (IQR)10069.692

Descriptive statistics

Standard deviation5943.8886
Coefficient of variation (CV)0.029804912
Kurtosis-0.72267539
Mean199426.48
Median Absolute Deviation (MAD)3880.6856
Skewness-0.2786128
Sum2.1398461 × 108
Variance35329812
MonotonicityNot monotonic
2024-04-06T21:10:37.698539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
205130.591678902 6
 
0.5%
190941.054351896 5
 
0.5%
202481.100650586 4
 
0.4%
195703.425296812 4
 
0.4%
210289.0 4
 
0.4%
190649.039032094 4
 
0.4%
202508.646065919 4
 
0.4%
194530.535390096 4
 
0.4%
190996.357288859 4
 
0.4%
197346.664858178 4
 
0.4%
Other values (896) 1030
93.3%
(Missing) 31
 
2.8%
ValueCountFrequency (%)
183382.861571856 1
0.1%
183746.686550444 1
0.1%
184161.316363142 1
0.1%
184526.084367975 1
0.1%
184655.264279055 2
0.2%
184844.841587036 1
0.1%
185392.816952333 1
0.1%
185615.520850794 1
0.1%
185674.0 1
0.1%
185950.696438517 1
0.1%
ValueCountFrequency (%)
212719.593918313 1
0.1%
212513.411056432 1
0.1%
211775.180690363 1
0.1%
211687.50565255 1
0.1%
211278.089975483 1
0.1%
211196.319452164 1
0.1%
211176.609412687 1
0.1%
211112.698086536 1
0.1%
211087.676151765 1
0.1%
211078.237986514 1
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct906
Distinct (%)84.4%
Missing31
Missing (%)2.8%
Infinite0
Infinite (%)0.0%
Mean447220.83
Minimum439023.17
Maximum462071.05
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.8 KiB
2024-04-06T21:10:37.962534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum439023.17
5-th percentile441741.53
Q1444516.23
median446548.09
Q3450425.85
95-th percentile452782.99
Maximum462071.05
Range23047.883
Interquartile range (IQR)5909.6226

Descriptive statistics

Standard deviation3735.0944
Coefficient of variation (CV)0.0083517899
Kurtosis-0.30491866
Mean447220.83
Median Absolute Deviation (MAD)3004.5471
Skewness0.32807366
Sum4.7986795 × 108
Variance13950931
MonotonicityNot monotonic
2024-04-06T21:10:38.214382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
445590.096837802 6
 
0.5%
447628.862085473 5
 
0.5%
442840.611735386 4
 
0.4%
449330.800717721 4
 
0.4%
442448.0 4
 
0.4%
448224.111919951 4
 
0.4%
442625.413940559 4
 
0.4%
446306.787198089 4
 
0.4%
445841.377603245 4
 
0.4%
451164.44975357 4
 
0.4%
Other values (896) 1030
93.3%
(Missing) 31
 
2.8%
ValueCountFrequency (%)
439023.167125842 1
 
0.1%
440110.485229322 1
 
0.1%
440136.781183797 1
 
0.1%
440303.490253141 1
 
0.1%
440314.956281442 1
 
0.1%
440349.985884412 1
 
0.1%
440363.954453659 1
 
0.1%
440416.170972838 1
 
0.1%
440521.85524888 3
0.3%
440603.712656822 1
 
0.1%
ValueCountFrequency (%)
462071.049647988 1
0.1%
461344.522751642 1
0.1%
460734.20023515 1
0.1%
459665.856169744 1
0.1%
458960.471391303 1
0.1%
458749.280581727 1
0.1%
458228.274013713 1
0.1%
457460.286290912 1
0.1%
457283.215342184 1
0.1%
456288.540741202 1
0.1%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.8 KiB
국제회의기획업
612 
<NA>
492 

Length

Max length7
Median length7
Mean length5.6630435
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 (%)
국제회의기획업 612
55.4%
<NA> 492
44.6%

Length

2024-04-06T21:10:38.433911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:10:38.613225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국제회의기획업 612
55.4%
na 492
44.6%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.8 KiB
<NA>
962 
관광사업
142 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 962
87.1%
관광사업 142
 
12.9%

Length

2024-04-06T21:10:38.774145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:10:38.922928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 962
87.1%
관광사업 142
 
12.9%

지역구분명
Categorical

IMBALANCE 

Distinct10
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size8.8 KiB
<NA>
1072 
일반주거지역
 
8
일반상업지역
 
7
주거지역
 
6
준주거지역
 
5
Other values (5)
 
6

Length

Max length6
Median length4
Mean length4.0371377
Min length4

Unique

Unique4 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1072
97.1%
일반주거지역 8
 
0.7%
일반상업지역 7
 
0.6%
주거지역 6
 
0.5%
준주거지역 5
 
0.5%
준공업지역 2
 
0.2%
상업지역 1
 
0.1%
근린상업지역 1
 
0.1%
중심상업지역 1
 
0.1%
녹지지역 1
 
0.1%

Length

2024-04-06T21:10:39.148451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:10:39.367366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1072
97.1%
일반주거지역 8
 
0.7%
일반상업지역 7
 
0.6%
주거지역 6
 
0.5%
준주거지역 5
 
0.5%
준공업지역 2
 
0.2%
상업지역 1
 
0.1%
근린상업지역 1
 
0.1%
중심상업지역 1
 
0.1%
녹지지역 1
 
0.1%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)6.1%
Missing941
Missing (%)85.2%
Infinite0
Infinite (%)0.0%
Mean1.1411043
Minimum0
Maximum34
Zeros146
Zeros (%)13.2%
Negative0
Negative (%)0.0%
Memory size9.8 KiB
2024-04-06T21:10:39.584637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum34
Range34
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.406613
Coefficient of variation (CV)3.8617093
Kurtosis25.633467
Mean1.1411043
Median Absolute Deviation (MAD)0
Skewness4.7812396
Sum186
Variance19.418238
MonotonicityNot monotonic
2024-04-06T21:10:39.793893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 146
 
13.2%
6 4
 
0.4%
15 3
 
0.3%
1 3
 
0.3%
18 2
 
0.2%
13 1
 
0.1%
5 1
 
0.1%
34 1
 
0.1%
23 1
 
0.1%
3 1
 
0.1%
(Missing) 941
85.2%
ValueCountFrequency (%)
0 146
13.2%
1 3
 
0.3%
3 1
 
0.1%
5 1
 
0.1%
6 4
 
0.4%
13 1
 
0.1%
15 3
 
0.3%
18 2
 
0.2%
23 1
 
0.1%
34 1
 
0.1%
ValueCountFrequency (%)
34 1
 
0.1%
23 1
 
0.1%
18 2
 
0.2%
15 3
 
0.3%
13 1
 
0.1%
6 4
 
0.4%
5 1
 
0.1%
3 1
 
0.1%
1 3
 
0.3%
0 146
13.2%

주변환경명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size8.8 KiB
<NA>
1086 
기타
 
14
주택가주변
 
3
유흥업소밀집지역
 
1

Length

Max length8
Median length4
Mean length3.9809783
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1086
98.4%
기타 14
 
1.3%
주택가주변 3
 
0.3%
유흥업소밀집지역 1
 
0.1%

Length

2024-04-06T21:10:40.033932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:10:40.212008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1086
98.4%
기타 14
 
1.3%
주택가주변 3
 
0.3%
유흥업소밀집지역 1
 
0.1%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1104
Missing (%)100.0%
Memory size9.8 KiB

보험기관명
Text

MISSING 

Distinct4
Distinct (%)100.0%
Missing1100
Missing (%)99.6%
Memory size8.8 KiB
2024-04-06T21:10:40.464954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length9.5
Mean length10.75
Min length6

Characters and Unicode

Total characters43
Distinct characters16
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

Unique4 ?
Unique (%)100.0%

Sample

1st row보증보험(2억원)
2nd row서울보증보험주식회사(2000만원)
3rd row서울보증보험
4th row서울보증보험주식회사
ValueCountFrequency (%)
보증보험(2억원 1
25.0%
서울보증보험주식회사(2000만원 1
25.0%
서울보증보험 1
25.0%
서울보증보험주식회사 1
25.0%
2024-04-06T21:10:41.000104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8
18.6%
4
 
9.3%
4
 
9.3%
3
 
7.0%
3
 
7.0%
0 3
 
7.0%
( 2
 
4.7%
2 2
 
4.7%
2
 
4.7%
) 2
 
4.7%
Other values (6) 10
23.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 34
79.1%
Decimal Number 5
 
11.6%
Open Punctuation 2
 
4.7%
Close Punctuation 2
 
4.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
8
23.5%
4
11.8%
4
11.8%
3
 
8.8%
3
 
8.8%
2
 
5.9%
2
 
5.9%
2
 
5.9%
2
 
5.9%
2
 
5.9%
Other values (2) 2
 
5.9%
Decimal Number
ValueCountFrequency (%)
0 3
60.0%
2 2
40.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 34
79.1%
Common 9
 
20.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
8
23.5%
4
11.8%
4
11.8%
3
 
8.8%
3
 
8.8%
2
 
5.9%
2
 
5.9%
2
 
5.9%
2
 
5.9%
2
 
5.9%
Other values (2) 2
 
5.9%
Common
ValueCountFrequency (%)
0 3
33.3%
( 2
22.2%
2 2
22.2%
) 2
22.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 34
79.1%
ASCII 9
 
20.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
8
23.5%
4
11.8%
4
11.8%
3
 
8.8%
3
 
8.8%
2
 
5.9%
2
 
5.9%
2
 
5.9%
2
 
5.9%
2
 
5.9%
Other values (2) 2
 
5.9%
ASCII
ValueCountFrequency (%)
0 3
33.3%
( 2
22.2%
2 2
22.2%
) 2
22.2%

건물용도명
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.8 KiB
<NA>
1048 
사무실
 
36
근린생활시설
 
16
기타
 
2
교육연구시설
 
1

Length

Max length6
Median length4
Mean length3.9945652
Min length2

Unique

Unique2 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1048
94.9%
사무실 36
 
3.3%
근린생활시설 16
 
1.4%
기타 2
 
0.2%
교육연구시설 1
 
0.1%
단독주택 1
 
0.1%

Length

2024-04-06T21:10:41.284295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:10:41.485734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1048
94.9%
사무실 36
 
3.3%
근린생활시설 16
 
1.4%
기타 2
 
0.2%
교육연구시설 1
 
0.1%
단독주택 1
 
0.1%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct17
Distinct (%)9.7%
Missing929
Missing (%)84.1%
Infinite0
Infinite (%)0.0%
Mean1.4114286
Minimum0
Maximum26
Zeros145
Zeros (%)13.1%
Negative0
Negative (%)0.0%
Memory size9.8 KiB
2024-04-06T21:10:41.692667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile10.6
Maximum26
Range26
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.2129911
Coefficient of variation (CV)2.9849127
Kurtosis14.217466
Mean1.4114286
Median Absolute Deviation (MAD)0
Skewness3.6765394
Sum247
Variance17.749294
MonotonicityNot monotonic
2024-04-06T21:10:41.908980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 145
 
13.1%
2 5
 
0.5%
5 4
 
0.4%
1 3
 
0.3%
3 2
 
0.2%
12 2
 
0.2%
6 2
 
0.2%
15 2
 
0.2%
10 2
 
0.2%
9 1
 
0.1%
Other values (7) 7
 
0.6%
(Missing) 929
84.1%
ValueCountFrequency (%)
0 145
13.1%
1 3
 
0.3%
2 5
 
0.5%
3 2
 
0.2%
4 1
 
0.1%
5 4
 
0.4%
6 2
 
0.2%
8 1
 
0.1%
9 1
 
0.1%
10 2
 
0.2%
ValueCountFrequency (%)
26 1
0.1%
23 1
0.1%
20 1
0.1%
18 1
0.1%
15 2
0.2%
14 1
0.1%
12 2
0.2%
10 2
0.2%
9 1
0.1%
8 1
0.1%

지하층수
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)4.4%
Missing945
Missing (%)85.6%
Infinite0
Infinite (%)0.0%
Mean0.20754717
Minimum0
Maximum8
Zeros145
Zeros (%)13.1%
Negative0
Negative (%)0.0%
Memory size9.8 KiB
2024-04-06T21:10:42.184103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.90060087
Coefficient of variation (CV)4.3392587
Kurtosis42.48069
Mean0.20754717
Median Absolute Deviation (MAD)0
Skewness6.0528224
Sum33
Variance0.81108192
MonotonicityNot monotonic
2024-04-06T21:10:42.406219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 145
 
13.1%
1 8
 
0.7%
3 2
 
0.2%
2 1
 
0.1%
4 1
 
0.1%
5 1
 
0.1%
8 1
 
0.1%
(Missing) 945
85.6%
ValueCountFrequency (%)
0 145
13.1%
1 8
 
0.7%
2 1
 
0.1%
3 2
 
0.2%
4 1
 
0.1%
5 1
 
0.1%
8 1
 
0.1%
ValueCountFrequency (%)
8 1
 
0.1%
5 1
 
0.1%
4 1
 
0.1%
3 2
 
0.2%
2 1
 
0.1%
1 8
 
0.7%
0 145
13.1%

객실수
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.8 KiB
<NA>
959 
0
145 

Length

Max length4
Median length4
Mean length3.6059783
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> 959
86.9%
0 145
 
13.1%

Length

2024-04-06T21:10:42.648954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:10:42.830077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 959
86.9%
0 145
 
13.1%

건축연면적
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.8 KiB
<NA>
959 
0
145 

Length

Max length4
Median length4
Mean length3.6059783
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> 959
86.9%
0 145
 
13.1%

Length

2024-04-06T21:10:43.021205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:10:43.237369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 959
86.9%
0 145
 
13.1%

영문상호명
Text

MISSING 

Distinct129
Distinct (%)99.2%
Missing974
Missing (%)88.2%
Memory size8.8 KiB
2024-04-06T21:10:44.352062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length30
Mean length20.892308
Min length2

Characters and Unicode

Total characters2716
Distinct characters56
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique128 ?
Unique (%)98.5%

Sample

1st rowHyundai Research Institute
2nd rowEASTER Marketing Service Co., Ltd.
3rd rowWith Baton Co., Ltd.
4th rowKOREA TOUR DMC Corp
5th rowEMP Innovation
ValueCountFrequency (%)
co 69
 
15.7%
ltd 68
 
15.5%
co.,ltd 18
 
4.1%
communications 11
 
2.5%
inc 10
 
2.3%
korea 9
 
2.0%
communication 7
 
1.6%
6
 
1.4%
the 6
 
1.4%
company 5
 
1.1%
Other values (190) 231
52.5%
2024-04-06T21:10:45.339453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
315
 
11.6%
o 175
 
6.4%
. 171
 
6.3%
C 157
 
5.8%
t 138
 
5.1%
L 113
 
4.2%
n 99
 
3.6%
d 95
 
3.5%
, 90
 
3.3%
E 86
 
3.2%
Other values (46) 1277
47.0%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 1088
40.1%
Lowercase Letter 1037
38.2%
Space Separator 315
 
11.6%
Other Punctuation 272
 
10.0%
Dash Punctuation 3
 
0.1%
Decimal Number 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 175
16.9%
t 138
13.3%
n 99
9.5%
d 95
9.2%
i 76
7.3%
a 67
 
6.5%
e 64
 
6.2%
m 47
 
4.5%
r 46
 
4.4%
c 45
 
4.3%
Other values (15) 185
17.8%
Uppercase Letter
ValueCountFrequency (%)
C 157
14.4%
L 113
10.4%
E 86
 
7.9%
O 84
 
7.7%
I 74
 
6.8%
N 71
 
6.5%
M 71
 
6.5%
T 67
 
6.2%
A 64
 
5.9%
R 47
 
4.3%
Other values (15) 254
23.3%
Other Punctuation
ValueCountFrequency (%)
. 171
62.9%
, 90
33.1%
& 11
 
4.0%
Space Separator
ValueCountFrequency (%)
315
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2125
78.2%
Common 591
 
21.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 175
 
8.2%
C 157
 
7.4%
t 138
 
6.5%
L 113
 
5.3%
n 99
 
4.7%
d 95
 
4.5%
E 86
 
4.0%
O 84
 
4.0%
i 76
 
3.6%
I 74
 
3.5%
Other values (40) 1028
48.4%
Common
ValueCountFrequency (%)
315
53.3%
. 171
28.9%
, 90
 
15.2%
& 11
 
1.9%
- 3
 
0.5%
1 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2716
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
315
 
11.6%
o 175
 
6.4%
. 171
 
6.3%
C 157
 
5.8%
t 138
 
5.1%
L 113
 
4.2%
n 99
 
3.6%
d 95
 
3.5%
, 90
 
3.3%
E 86
 
3.2%
Other values (46) 1277
47.0%

영문상호주소
Categorical

IMBALANCE 

Distinct16
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size8.8 KiB
<NA>
976 
PROFESSIONAL CONGRESS ORGANIZER
 
79
Professional Congress Organizer
 
20
International conference planning business
 
7
Professional Convention Organizer
 
6
Other values (11)
 
16

Length

Max length54
Median length4
Mean length7.3224638
Min length4

Unique

Unique8 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 976
88.4%
PROFESSIONAL CONGRESS ORGANIZER 79
 
7.2%
Professional Congress Organizer 20
 
1.8%
International conference planning business 7
 
0.6%
Professional Convention Organizer 6
 
0.5%
INTERNATIONAL CONFERENCE PLANNING BUSINESS 3
 
0.3%
INTERNATIONAL CONVENTION AND MEETING PLANNING BUSINESS 3
 
0.3%
Professional Congress(Convention) Organizer 2
 
0.2%
Planning of international conferences 1
 
0.1%
INTERNATIONAL CONFERENCE PLANNING 1
 
0.1%
Other values (6) 6
 
0.5%

Length

2024-04-06T21:10:45.672137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 976
70.7%
organizer 111
 
8.0%
professional 109
 
7.9%
congress 102
 
7.4%
international 16
 
1.2%
planning 15
 
1.1%
conference 13
 
0.9%
business 13
 
0.9%
convention 9
 
0.7%
meeting 3
 
0.2%
Other values (9) 13
 
0.9%

선박총톤수
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.8 KiB
<NA>
959 
0
145 

Length

Max length4
Median length4
Mean length3.6059783
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> 959
86.9%
0 145
 
13.1%

Length

2024-04-06T21:10:45.903977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:10:46.070283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 959
86.9%
0 145
 
13.1%

선박척수
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.8 KiB
<NA>
959 
0
145 

Length

Max length4
Median length4
Mean length3.6059783
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> 959
86.9%
0 145
 
13.1%

Length

2024-04-06T21:10:46.288754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:10:46.472261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 959
86.9%
0 145
 
13.1%

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1104
Missing (%)100.0%
Memory size9.8 KiB

무대면적
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.8 KiB
<NA>
959 
0
145 

Length

Max length4
Median length4
Mean length3.6059783
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> 959
86.9%
0 145
 
13.1%

Length

2024-04-06T21:10:46.743567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:10:47.041900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 959
86.9%
0 145
 
13.1%

좌석수
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.8 KiB
<NA>
959 
0
145 

Length

Max length4
Median length4
Mean length3.6059783
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> 959
86.9%
0 145
 
13.1%

Length

2024-04-06T21:10:47.337836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:10:47.528230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 959
86.9%
0 145
 
13.1%

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1104
Missing (%)100.0%
Memory size9.8 KiB
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.8 KiB
<NA>
959 
0
145 

Length

Max length4
Median length4
Mean length3.6059783
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> 959
86.9%
0 145
 
13.1%

Length

2024-04-06T21:10:47.729505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:10:48.041676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 959
86.9%
0 145
 
13.1%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct94
Distinct (%)42.2%
Missing881
Missing (%)79.8%
Infinite0
Infinite (%)0.0%
Mean89.787444
Minimum0
Maximum5938.21
Zeros125
Zeros (%)11.3%
Negative0
Negative (%)0.0%
Memory size9.8 KiB
2024-04-06T21:10:48.253287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q378.655
95-th percentile321.484
Maximum5938.21
Range5938.21
Interquartile range (IQR)78.655

Descriptive statistics

Standard deviation415.92815
Coefficient of variation (CV)4.6323643
Kurtosis178.12628
Mean89.787444
Median Absolute Deviation (MAD)0
Skewness12.760467
Sum20022.6
Variance172996.22
MonotonicityNot monotonic
2024-04-06T21:10:48.519600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 125
 
11.3%
47.52 3
 
0.3%
330.6 2
 
0.2%
60.0 2
 
0.2%
12.0 2
 
0.2%
115.0 1
 
0.1%
29.65 1
 
0.1%
33.0 1
 
0.1%
106.04 1
 
0.1%
148.83 1
 
0.1%
Other values (84) 84
 
7.6%
(Missing) 881
79.8%
ValueCountFrequency (%)
0.0 125
11.3%
1.0 1
 
0.1%
4.76 1
 
0.1%
6.61 1
 
0.1%
10.0 1
 
0.1%
12.0 2
 
0.2%
13.0 1
 
0.1%
28.66 1
 
0.1%
29.65 1
 
0.1%
29.8 1
 
0.1%
ValueCountFrequency (%)
5938.21 1
0.1%
1013.0 1
0.1%
944.35 1
0.1%
846.0 1
0.1%
403.0 1
0.1%
400.95 1
0.1%
390.0 1
0.1%
369.59 1
0.1%
357.08 1
0.1%
330.6 2
0.2%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1104
Missing (%)100.0%
Memory size9.8 KiB

놀이시설수
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.8 KiB
<NA>
959 
0
145 

Length

Max length4
Median length4
Mean length3.6059783
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> 959
86.9%
0 145
 
13.1%

Length

2024-04-06T21:10:48.842353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:10:49.025940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 959
86.9%
0 145
 
13.1%

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1104
Missing (%)100.0%
Memory size9.8 KiB

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1104
Missing (%)100.0%
Memory size9.8 KiB

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1104
Missing (%)100.0%
Memory size9.8 KiB

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1104
Missing (%)100.0%
Memory size9.8 KiB

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1104
Missing (%)100.0%
Memory size9.8 KiB

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1104
Missing (%)100.0%
Memory size9.8 KiB

자본금
Real number (ℝ)

MISSING  ZEROS 

Distinct180
Distinct (%)35.5%
Missing597
Missing (%)54.1%
Infinite0
Infinite (%)0.0%
Mean1.9810465 × 109
Minimum0
Maximum1.9626205 × 1011
Zeros48
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size9.8 KiB
2024-04-06T21:10:49.261503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q150000000
median1 × 108
Q32.5305739 × 108
95-th percentile2.8276 × 109
Maximum1.9626205 × 1011
Range1.9626205 × 1011
Interquartile range (IQR)2.0305739 × 108

Descriptive statistics

Standard deviation1.3811721 × 1010
Coefficient of variation (CV)6.9719318
Kurtosis134.12851
Mean1.9810465 × 109
Median Absolute Deviation (MAD)50000000
Skewness11.012202
Sum1.0043906 × 1012
Variance1.9076363 × 1020
MonotonicityNot monotonic
2024-04-06T21:10:49.532038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50000000 136
 
12.3%
100000000 55
 
5.0%
0 48
 
4.3%
200000000 35
 
3.2%
60000000 12
 
1.1%
150000000 11
 
1.0%
300000000 10
 
0.9%
500000000 7
 
0.6%
400000000 6
 
0.5%
250000000 5
 
0.5%
Other values (170) 182
 
16.5%
(Missing) 597
54.1%
ValueCountFrequency (%)
0 48
 
4.3%
50000000 136
12.3%
50343043 1
 
0.1%
50425445 1
 
0.1%
51000000 2
 
0.2%
51169778 1
 
0.1%
51433190 1
 
0.1%
52000000 1
 
0.1%
52288622 1
 
0.1%
52451268 1
 
0.1%
ValueCountFrequency (%)
196262053988 1
0.1%
173157237500 1
0.1%
109072734745 1
0.1%
93474210000 1
0.1%
46403740000 1
0.1%
42000000000 1
0.1%
41600000000 1
0.1%
33000000000 1
0.1%
28039655000 1
0.1%
25702010325 1
0.1%

보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1104
Missing (%)100.0%
Memory size9.8 KiB

보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1104
Missing (%)100.0%
Memory size9.8 KiB

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1104
Missing (%)100.0%
Memory size9.8 KiB

시설규모
Real number (ℝ)

MISSING  ZEROS 

Distinct80
Distinct (%)35.9%
Missing881
Missing (%)79.8%
Infinite0
Infinite (%)0.0%
Mean89.816143
Minimum0
Maximum5938
Zeros125
Zeros (%)11.3%
Negative0
Negative (%)0.0%
Memory size9.8 KiB
2024-04-06T21:10:49.842244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q378.5
95-th percentile321.7
Maximum5938
Range5938
Interquartile range (IQR)78.5

Descriptive statistics

Standard deviation415.91515
Coefficient of variation (CV)4.6307394
Kurtosis178.11924
Mean89.816143
Median Absolute Deviation (MAD)0
Skewness12.760071
Sum20029
Variance172985.41
MonotonicityNot monotonic
2024-04-06T21:10:50.192042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 125
 
11.3%
33 3
 
0.3%
30 3
 
0.3%
53 3
 
0.3%
66 3
 
0.3%
48 3
 
0.3%
145 2
 
0.2%
132 2
 
0.2%
42 2
 
0.2%
56 2
 
0.2%
Other values (70) 75
 
6.8%
(Missing) 881
79.8%
ValueCountFrequency (%)
0 125
11.3%
1 1
 
0.1%
5 1
 
0.1%
7 1
 
0.1%
10 1
 
0.1%
12 2
 
0.2%
13 1
 
0.1%
29 1
 
0.1%
30 3
 
0.3%
31 2
 
0.2%
ValueCountFrequency (%)
5938 1
0.1%
1013 1
0.1%
944 1
0.1%
846 1
0.1%
403 1
0.1%
401 1
0.1%
390 1
0.1%
370 1
0.1%
357 1
0.1%
331 2
0.2%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
03150000CDFI22631020230000012023-02-28<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 방화동 193-11 불해빌딩서울특별시 강서구 방화대로34길 92, 불해빌딩 306호 (방화동)07595(주)코비플랜2023-02-28 09:28:21I2022-12-03 00:03:00.0<NA>184161.316363452077.906638<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>
13220000CDFI22631020230000052023-03-07<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 삼성동 107 삼성동 미켈란 107서울특별시 강남구 영동대로 602, 6층 A106호 (삼성동, 삼성동 미켈란 107)06083(주)이아이크리에이티브2023-03-07 17:18:03I2022-12-03 00:09:00.0<NA>205271.275273445852.638814<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>
23030000CDFI22631020230000022014-07-24<NA>1영업/정상13영업중<NA><NA><NA><NA>0264189433<NA><NA>서울특별시 성동구 용답동 232-1 신창비바패밀리서울특별시 성동구 천호대로 400, 1층 101호 (용답동, 신창비바패밀리)04808주식회사 더홀릭스2023-03-07 10:19:48I2022-12-03 00:09:00.0<NA>205527.887051451002.807624<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>
33010000CDFI22631020230000022023-03-08<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 다동 10 한국관광공사 서울센터서울특별시 중구 청계천로 40, 한국관광공사 서울센터 7층 (다동)04521위호스트2023-03-08 15:55:04I2022-12-02 23:00:00.0<NA>198306.905839451808.098342<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>
43220000CDFI22631020200000082020-03-19<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6000-4292<NA><NA>서울특별시 강남구 논현동 75-8 서흥빌딩서울특별시 강남구 학동로33길 41, 서흥빌딩 3층 (논현동)06051에코마이스 주식회사2023-03-16 17:47:33U2022-12-02 23:08:00.0<NA>202754.885995446142.34108<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>
53210000CDFI22631020230000042023-03-20<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6677-0532<NA><NA>서울특별시 서초구 서초동 1638-2 아이리스 서초 102동 201호서울특별시 서초구 서초대로62길 9-14, 102동 201호 (서초동, 아이리스 서초)06631주식회사 브릿지어스2023-09-07 17:26:28U2022-12-09 00:09:00.0<NA>201703.888566443633.507936<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>
63180000CDFI22631020190000042002-12-26<NA>3폐업3폐업2023-03-28<NA><NA><NA>02-783-3181/<NA><NA>서울특별시 영등포구 여의도동 45-19 서린빌딩 5층 510호서울특별시 영등포구 여의대방로65길 17, 서린빌딩 5층 510호 (여의도동)07332(주)세종컨벤션서비스2023-03-28 15:09:39U2022-12-02 21:00:00.0<NA>193678.506061446387.88964<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>
73150000CDFI22631020230000022011-08-18<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3143-7250<NA><NA>서울특별시 강서구 염창동 240-21 우림블루나인비즈니스센터 비동 603호서울특별시 강서구 양천로 583, 우림블루나인비즈니스센터 비동 603호 (염창동)07547(주)써플에이코리아2023-03-27 10:51:54U2022-12-02 22:09:00.0<NA>187952.560028450562.020226<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>
83220000CDFI22631020230000062016-09-05<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2058-0012<NA><NA>서울특별시 강남구 논현동 16-12서울특별시 강남구 도산대로4길 16, 4층 (논현동)06038(주)지디엠씨2023-03-31 14:46:46I2022-12-04 00:02:00.0<NA>201807.423796445908.959512<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>
93210000CDFI22631020060000052006-08-08<NA>1영업/정상13영업중<NA><NA><NA><NA>02-550-2500<NA><NA>서울특별시 서초구 서초동 1356-7 유니원빌딩서울특별시 서초구 서운로 42, 유니원빌딩 6층 (서초동)06728(주)유니원컴퍼니2023-07-11 11:44:22U2022-12-06 23:03:00.0<NA>202481.100651442840.611735<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>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
10943120000CDFI226310202200000120220330<NA>1영업/정상13영업중<NA><NA><NA><NA>0263520709<NA><NA>서울특별시 서대문구 홍제동 294-46 유진상가, 유진아파트,공유캠퍼스서울특별시 서대문구 통일로 484, 유진상가, 유진아파트,공유캠퍼스 3층 306호 (홍제동)03628한강메쎄2022-05-09 11:20:17I2021-12-04 23:01:00.0<NA>194850.361025454344.432517<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>
10953230000CDFI226310202100000920210415<NA>5제외/삭제/전출15전출20220510<NA><NA><NA><NA><NA><NA>서울특별시 송파구 문정동 651-3 문정법조프라자서울특별시 송파구 법원로 96, 문정법조프라자 2층 207-1호 (문정동)05855엘앤케이컴 주식회사2022-05-10 09:17:59U2021-12-04 23:02:00.0<NA>210629.0442432.0<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><NA><NA><NA><NA><NA><NA><NA><NA><NA>
10963190000CDFI226310201600000120160510<NA>5제외/삭제/전출15전출20220510<NA><NA><NA>5322124<NA><NA>서울특별시 동작구 사당동 155-5 백두산 3층서울특별시 동작구 사당로23길 6, 3층 (사당동, 백두산)07006(주)다잇컴(Communication)2022-05-10 14:58:46U2021-12-04 23:02:00.0<NA>197919.804144442462.772306<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>
10973160000CDFI226310202200000220160510<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 구로동 197-48 에이스테크노타워Ⅲ서울특별시 구로구 디지털로29길 38, 에이스테크노타워Ⅲ 11층 1101-8호 (구로동)08381(주)두잇컴2022-05-16 13:58:05U2021-12-04 23:08:00.0<NA>190491.83306442477.332681<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>
10983170000CDFI226310202200000120220511<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)08594주식회사 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>
10993020000CDFI226310202200000220200207<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 한남동 828 한남아이파크서울특별시 용산구 독서당로 46, 103~104호 (한남동, 한남아이파크)04410주식회사 온아시아2022-10-07 16:42:08I2021-10-31 00:09:00.0<NA>200571.725921447793.924059<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>
11003220000CDFI226310201600001220150716<NA>5제외/삭제/전출15전출20220512<NA><NA><NA>02-6272-7700<NA><NA>서울특별시 강남구 역삼동 723-12서울특별시 강남구 테헤란로34길 21-6, 6층 (역삼동, 벧엘빌딩)06222(주)온커뮤니케이션즈2022-05-12 09:38:18U2021-12-04 23:04:00.0<NA>203570.13518444216.373171<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>
11013130000CDFI22631020220000052022-05-12<NA>1영업/정상13영업중<NA><NA><NA><NA>02-789-1341<NA><NA>서울특별시 마포구 상암동 1603 (주)문화방송서울특별시 마포구 성암로 267 (주)문화방송 (상암동)03925(주)문화방송2023-09-13 13:32:20U2022-12-08 23:05:00.0<NA>190282.759163453213.198488<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>
11023210000CDFI226310202200000420150716<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6272-7700<NA><NA>서울특별시 서초구 잠원동 46-10 신영빌딩서울특별시 서초구 신반포로 311, 신영빌딩 10층 (잠원동)06532(주)온커뮤니케이션즈2022-05-12 09:45:39I2021-12-04 23:04:00.0<NA>201481.171183445356.849437<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>
11033210000CDFI226310201100000620060307<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2057-1230<NA><NA>서울특별시 서초구 방배동 924-21 디엠타워 2관서울특별시 서초구 방배로 105, 디엠타워 2관 2,3,4층 (방배동)06683(주)블루인마케팅서비스2022-05-12 13:43:12U2021-12-04 23:04:00.0<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><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>