Overview

Dataset statistics

Number of variables60
Number of observations99
Missing cells2557
Missing cells (%)43.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory50.4 KiB
Average record size in memory521.3 B

Variable types

Categorical20
Text8
DateTime4
Unsupported16
Numeric12

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
Author성북구
URLhttps://data.seoul.go.kr/dataList/OA-17584/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
영문상호명 has constant value ""Constant
영문상호주소 has constant value ""Constant
인허가취소일자 is highly imbalanced (86.0%)Imbalance
지역구분명 is highly imbalanced (70.7%)Imbalance
건물용도명 is highly imbalanced (59.4%)Imbalance
객실수 is highly imbalanced (75.6%)Imbalance
건축연면적 is highly imbalanced (75.6%)Imbalance
선박총톤수 is highly imbalanced (75.6%)Imbalance
선박척수 is highly imbalanced (75.6%)Imbalance
무대면적 is highly imbalanced (75.6%)Imbalance
좌석수 is highly imbalanced (75.6%)Imbalance
회의실별동시수용인원 is highly imbalanced (75.6%)Imbalance
놀이시설수 is highly imbalanced (75.6%)Imbalance
폐업일자 has 46 (46.5%) missing valuesMissing
휴업시작일자 has 99 (100.0%) missing valuesMissing
휴업종료일자 has 99 (100.0%) missing valuesMissing
재개업일자 has 99 (100.0%) missing valuesMissing
전화번호 has 35 (35.4%) missing valuesMissing
소재지면적 has 99 (100.0%) missing valuesMissing
소재지우편번호 has 50 (50.5%) missing valuesMissing
도로명주소 has 4 (4.0%) missing valuesMissing
도로명우편번호 has 32 (32.3%) missing valuesMissing
업태구분명 has 99 (100.0%) missing valuesMissing
좌표정보(X) has 3 (3.0%) missing valuesMissing
좌표정보(Y) has 3 (3.0%) missing valuesMissing
총층수 has 77 (77.8%) missing valuesMissing
주변환경명 has 91 (91.9%) missing valuesMissing
제작취급품목내용 has 99 (100.0%) missing valuesMissing
지상층수 has 73 (73.7%) missing valuesMissing
지하층수 has 78 (78.8%) missing valuesMissing
영문상호명 has 98 (99.0%) missing valuesMissing
영문상호주소 has 98 (99.0%) missing valuesMissing
선박제원 has 99 (100.0%) missing valuesMissing
기념품종류 has 99 (100.0%) missing valuesMissing
시설면적 has 69 (69.7%) missing valuesMissing
놀이기구수내역 has 99 (100.0%) missing valuesMissing
방송시설유무 has 99 (100.0%) missing valuesMissing
발전시설유무 has 99 (100.0%) missing valuesMissing
의무실유무 has 99 (100.0%) missing valuesMissing
안내소유무 has 99 (100.0%) missing valuesMissing
기획여행보험시작일자 has 99 (100.0%) missing valuesMissing
기획여행보험종료일자 has 99 (100.0%) missing valuesMissing
자본금 has 47 (47.5%) missing valuesMissing
보험시작일자 has 50 (50.5%) missing valuesMissing
보험종료일자 has 50 (50.5%) missing valuesMissing
부대시설내역 has 99 (100.0%) missing valuesMissing
시설규모 has 69 (69.7%) missing valuesMissing
관리번호 has unique valuesUnique
사업장명 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
부대시설내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총층수 has 7 (7.1%) zerosZeros
지상층수 has 6 (6.1%) zerosZeros
지하층수 has 6 (6.1%) zerosZeros
시설면적 has 6 (6.1%) zerosZeros
자본금 has 1 (1.0%) zerosZeros
시설규모 has 6 (6.1%) zerosZeros

Reproduction

Analysis started2024-04-29 19:21:39.804402
Analysis finished2024-04-29 19:21:40.738820
Duration0.93 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
3070000
99 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3070000
2nd row3070000
3rd row3070000
4th row3070000
5th row3070000

Common Values

ValueCountFrequency (%)
3070000 99
100.0%

Length

2024-04-30T04:21:40.807816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:21:40.888259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3070000 99
100.0%

관리번호
Text

UNIQUE 

Distinct99
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
2024-04-30T04:21:41.027190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1980
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

Unique99 ?
Unique (%)100.0%

Sample

1st rowCDFI2260021995000002
2nd rowCDFI2260021999000001
3rd rowCDFI2260021999000002
4th rowCDFI2260021999000004
5th rowCDFI2260022000000002
ValueCountFrequency (%)
cdfi2260021995000002 1
 
1.0%
cdfi2260022014000005 1
 
1.0%
cdfi2260022018000008 1
 
1.0%
cdfi2260022018000007 1
 
1.0%
cdfi2260022018000006 1
 
1.0%
cdfi2260022018000004 1
 
1.0%
cdfi2260022018000003 1
 
1.0%
cdfi2260022018000001 1
 
1.0%
cdfi2260022017000005 1
 
1.0%
cdfi2260022017000004 1
 
1.0%
Other values (89) 89
89.9%
2024-04-30T04:21:41.308416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 826
41.7%
2 452
22.8%
6 117
 
5.9%
C 99
 
5.0%
D 99
 
5.0%
F 99
 
5.0%
I 99
 
5.0%
1 71
 
3.6%
5 25
 
1.3%
3 25
 
1.3%
Other values (4) 68
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1584
80.0%
Uppercase Letter 396
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 826
52.1%
2 452
28.5%
6 117
 
7.4%
1 71
 
4.5%
5 25
 
1.6%
3 25
 
1.6%
4 24
 
1.5%
9 17
 
1.1%
8 15
 
0.9%
7 12
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
C 99
25.0%
D 99
25.0%
F 99
25.0%
I 99
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1584
80.0%
Latin 396
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 826
52.1%
2 452
28.5%
6 117
 
7.4%
1 71
 
4.5%
5 25
 
1.6%
3 25
 
1.6%
4 24
 
1.5%
9 17
 
1.1%
8 15
 
0.9%
7 12
 
0.8%
Latin
ValueCountFrequency (%)
C 99
25.0%
D 99
25.0%
F 99
25.0%
I 99
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1980
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 826
41.7%
2 452
22.8%
6 117
 
5.9%
C 99
 
5.0%
D 99
 
5.0%
F 99
 
5.0%
I 99
 
5.0%
1 71
 
3.6%
5 25
 
1.3%
3 25
 
1.3%
Other values (4) 68
 
3.4%

인허가일자
Date

Distinct98
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
Minimum1995-09-30 00:00:00
Maximum2024-03-11 00:00:00
2024-04-30T04:21:41.442174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:21:41.555052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Categorical

IMBALANCE 

Distinct5
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size924.0 B
<NA>
95 
20110714
 
1
20090714
 
1
20160204
 
1
20140612
 
1

Length

Max length8
Median length4
Mean length4.1616162
Min length4

Unique

Unique4 ?
Unique (%)4.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 95
96.0%
20110714 1
 
1.0%
20090714 1
 
1.0%
20160204 1
 
1.0%
20140612 1
 
1.0%

Length

2024-04-30T04:21:41.656810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:21:41.742382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 95
96.0%
20110714 1
 
1.0%
20090714 1
 
1.0%
20160204 1
 
1.0%
20140612 1
 
1.0%

영업상태코드
Categorical

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
3
46 
1
39 
4
7 
5
7 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 46
46.5%
1 39
39.4%
4 7
 
7.1%
5 7
 
7.1%

Length

2024-04-30T04:21:41.843519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:21:41.917187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 46
46.5%
1 39
39.4%
4 7
 
7.1%
5 7
 
7.1%

영업상태명
Categorical

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
폐업
46 
영업/정상
39 
취소/말소/만료/정지/중지
7 
제외/삭제/전출
7 

Length

Max length14
Median length8
Mean length4.4545455
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 46
46.5%
영업/정상 39
39.4%
취소/말소/만료/정지/중지 7
 
7.1%
제외/삭제/전출 7
 
7.1%

Length

2024-04-30T04:21:42.003047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:21:42.080135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 46
46.5%
영업/정상 39
39.4%
취소/말소/만료/정지/중지 7
 
7.1%
제외/삭제/전출 7
 
7.1%

상세영업상태코드
Categorical

Distinct5
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size924.0 B
3
46 
13
39 
15
7 
31
 
4
30
 
3

Length

Max length2
Median length2
Mean length1.5353535
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 46
46.5%
13 39
39.4%
15 7
 
7.1%
31 4
 
4.0%
30 3
 
3.0%

Length

2024-04-30T04:21:42.191011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:21:42.273293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 46
46.5%
13 39
39.4%
15 7
 
7.1%
31 4
 
4.0%
30 3
 
3.0%

상세영업상태명
Categorical

Distinct5
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size924.0 B
폐업
46 
영업중
39 
전출
7 
등록취소
 
4
허가취소
 
3

Length

Max length4
Median length2
Mean length2.5353535
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 46
46.5%
영업중 39
39.4%
전출 7
 
7.1%
등록취소 4
 
4.0%
허가취소 3
 
3.0%

Length

2024-04-30T04:21:42.370586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:21:42.459270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 46
46.5%
영업중 39
39.4%
전출 7
 
7.1%
등록취소 4
 
4.0%
허가취소 3
 
3.0%

폐업일자
Date

MISSING 

Distinct52
Distinct (%)98.1%
Missing46
Missing (%)46.5%
Memory size924.0 B
Minimum2000-05-02 00:00:00
Maximum2023-12-27 00:00:00
2024-04-30T04:21:42.551711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:21:42.675471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing99
Missing (%)100.0%
Memory size1023.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing99
Missing (%)100.0%
Memory size1023.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing99
Missing (%)100.0%
Memory size1023.0 B

전화번호
Text

MISSING 

Distinct64
Distinct (%)100.0%
Missing35
Missing (%)35.4%
Memory size924.0 B
2024-04-30T04:21:42.898533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.078125
Min length8

Characters and Unicode

Total characters645
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique64 ?
Unique (%)100.0%

Sample

1st row9250-600
2nd row927-5743
3rd row942-7836
4th row2253-4400
5th row743-0011
ValueCountFrequency (%)
02 7
 
9.0%
3446 2
 
2.6%
02-777-3831 1
 
1.3%
435 1
 
1.3%
957-3522 1
 
1.3%
02-6448-5255 1
 
1.3%
02-6339-4300 1
 
1.3%
02-512-8114 1
 
1.3%
070-8254-1007 1
 
1.3%
2153 1
 
1.3%
Other values (61) 61
78.2%
2024-04-30T04:21:43.187321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 86
13.3%
0 80
12.4%
- 80
12.4%
4 56
8.7%
1 54
8.4%
3 51
7.9%
6 48
7.4%
7 47
7.3%
9 46
7.1%
5 41
6.4%
Other values (2) 56
8.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 549
85.1%
Dash Punctuation 80
 
12.4%
Space Separator 16
 
2.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 86
15.7%
0 80
14.6%
4 56
10.2%
1 54
9.8%
3 51
9.3%
6 48
8.7%
7 47
8.6%
9 46
8.4%
5 41
7.5%
8 40
7.3%
Dash Punctuation
ValueCountFrequency (%)
- 80
100.0%
Space Separator
ValueCountFrequency (%)
16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 645
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 86
13.3%
0 80
12.4%
- 80
12.4%
4 56
8.7%
1 54
8.4%
3 51
7.9%
6 48
7.4%
7 47
7.3%
9 46
7.1%
5 41
6.4%
Other values (2) 56
8.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 645
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 86
13.3%
0 80
12.4%
- 80
12.4%
4 56
8.7%
1 54
8.4%
3 51
7.9%
6 48
7.4%
7 47
7.3%
9 46
7.1%
5 41
6.4%
Other values (2) 56
8.7%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing99
Missing (%)100.0%
Memory size1023.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct37
Distinct (%)75.5%
Missing50
Missing (%)50.5%
Infinite0
Infinite (%)0.0%
Mean136377.55
Minimum136023
Maximum136891
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1023.0 B
2024-04-30T04:21:43.316631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum136023
5-th percentile136032.4
Q1136045
median136110
Q3136813
95-th percentile136856.6
Maximum136891
Range868
Interquartile range (IQR)768

Descriptive statistics

Standard deviation373.74936
Coefficient of variation (CV)0.002740549
Kurtosis-1.9346822
Mean136377.55
Median Absolute Deviation (MAD)77
Skewness0.31282933
Sum6682500
Variance139688.59
MonotonicityNot monotonic
2024-04-30T04:21:43.454243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
136045 3
 
3.0%
136865 2
 
2.0%
136023 2
 
2.0%
136844 2
 
2.0%
136085 2
 
2.0%
136051 2
 
2.0%
136034 2
 
2.0%
136817 2
 
2.0%
136090 2
 
2.0%
136035 2
 
2.0%
Other values (27) 28
28.3%
(Missing) 50
50.5%
ValueCountFrequency (%)
136023 2
2.0%
136032 1
 
1.0%
136033 1
 
1.0%
136034 2
2.0%
136035 2
2.0%
136036 1
 
1.0%
136042 1
 
1.0%
136044 1
 
1.0%
136045 3
3.0%
136051 2
2.0%
ValueCountFrequency (%)
136891 1
1.0%
136865 2
2.0%
136844 2
2.0%
136824 1
1.0%
136823 1
1.0%
136821 1
1.0%
136819 1
1.0%
136818 1
1.0%
136817 2
2.0%
136813 1
1.0%

지번주소
Text

Distinct98
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
2024-04-30T04:21:43.674058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length32
Mean length25.626263
Min length16

Characters and Unicode

Total characters2537
Distinct characters121
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique97 ?
Unique (%)98.0%

Sample

1st row서울특별시 성북구 삼선동5가 261-0번지 5동 501호
2nd row서울특별시 성북구 보문동7가 118-0번지 서광빌딩507호
3rd row서울특별시 성북구 하월곡동 18-16번지
4th row서울특별시 성북구 보문동7가 112-8번지 세진빌딩205호
5th row서울특별시 성북구 동소문동2가 222번지
ValueCountFrequency (%)
서울특별시 99
21.0%
성북구 99
21.0%
길음동 12
 
2.5%
하월곡동 10
 
2.1%
석관동 9
 
1.9%
정릉동 7
 
1.5%
장위동 7
 
1.5%
종암동 6
 
1.3%
동소문동5가 5
 
1.1%
동소문동4가 5
 
1.1%
Other values (172) 213
45.1%
2024-04-30T04:21:44.032203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
430
 
16.9%
동 130
 
5.1%
성 105
 
4.1%
북 105
 
4.1%
1 103
 
4.1%
시 102
 
4.0%
서 101
 
4.0%
별 99
 
3.9%
구 99
 
3.9%
울 99
 
3.9%
Other values (111) 1164
45.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1561
61.5%
Decimal Number 471
 
18.6%
Space Separator 430
 
16.9%
Dash Punctuation 64
 
2.5%
Open Punctuation 4
 
0.2%
Close Punctuation 4
 
0.2%
Uppercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 130
 
8.3%
성 105
 
6.7%
북 105
 
6.7%
시 102
 
6.5%
서 101
 
6.5%
별 99
 
6.3%
구 99
 
6.3%
울 99
 
6.3%
특 99
 
6.3%
지 57
 
3.7%
Other values (95) 565
36.2%
Decimal Number
ValueCountFrequency (%)
1 103
21.9%
2 76
16.1%
3 52
11.0%
5 43
9.1%
6 41
 
8.7%
0 39
 
8.3%
4 35
 
7.4%
7 31
 
6.6%
8 30
 
6.4%
9 21
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
B 2
66.7%
F 1
33.3%
Space Separator
ValueCountFrequency (%)
430
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 64
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1561
61.5%
Common 973
38.4%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 130
 
8.3%
성 105
 
6.7%
북 105
 
6.7%
시 102
 
6.5%
서 101
 
6.5%
별 99
 
6.3%
구 99
 
6.3%
울 99
 
6.3%
특 99
 
6.3%
지 57
 
3.7%
Other values (95) 565
36.2%
Common
ValueCountFrequency (%)
430
44.2%
1 103
 
10.6%
2 76
 
7.8%
- 64
 
6.6%
3 52
 
5.3%
5 43
 
4.4%
6 41
 
4.2%
0 39
 
4.0%
4 35
 
3.6%
7 31
 
3.2%
Other values (4) 59
 
6.1%
Latin
ValueCountFrequency (%)
B 2
66.7%
F 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1561
61.5%
ASCII 976
38.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
430
44.1%
1 103
 
10.6%
2 76
 
7.8%
- 64
 
6.6%
3 52
 
5.3%
5 43
 
4.4%
6 41
 
4.2%
0 39
 
4.0%
4 35
 
3.6%
7 31
 
3.2%
Other values (6) 62
 
6.4%
Hangul
ValueCountFrequency (%)
동 130
 
8.3%
성 105
 
6.7%
북 105
 
6.7%
시 102
 
6.5%
서 101
 
6.5%
별 99
 
6.3%
구 99
 
6.3%
울 99
 
6.3%
특 99
 
6.3%
지 57
 
3.7%
Other values (95) 565
36.2%

도로명주소
Text

MISSING 

Distinct94
Distinct (%)98.9%
Missing4
Missing (%)4.0%
Memory size924.0 B
2024-04-30T04:21:44.241383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length39
Mean length33.831579
Min length23

Characters and Unicode

Total characters3214
Distinct characters143
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique93 ?
Unique (%)97.9%

Sample

1st row서울특별시 성북구 삼선교로24길 37, 5동 501호 (삼선동5가)
2nd row서울특별시 성북구 보문로 35 (보문동7가,서광빌딩507호)
3rd row서울특별시 성북구 화랑로 105 (하월곡동)
4th row서울특별시 성북구 보문로 38 (보문동7가,세진빌딩205호)
5th row서울특별시 성북구 동소문로 24 (동소문동2가)
ValueCountFrequency (%)
서울특별시 95
 
15.9%
성북구 95
 
15.9%
동소문로 20
 
3.4%
길음동 10
 
1.7%
2층 10
 
1.7%
하월곡동 10
 
1.7%
석관동 8
 
1.3%
보문로 8
 
1.3%
장위동 7
 
1.2%
화랑로 6
 
1.0%
Other values (231) 327
54.9%
2024-04-30T04:21:44.575150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
528
 
16.4%
동 158
 
4.9%
북 107
 
3.3%
성 106
 
3.3%
1 102
 
3.2%
시 99
 
3.1%
) 98
 
3.0%
( 98
 
3.0%
서 96
 
3.0%
울 95
 
3.0%
Other values (133) 1727
53.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1875
58.3%
Space Separator 528
 
16.4%
Decimal Number 506
 
15.7%
Close Punctuation 98
 
3.0%
Open Punctuation 98
 
3.0%
Other Punctuation 91
 
2.8%
Dash Punctuation 13
 
0.4%
Uppercase Letter 5
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 158
 
8.4%
북 107
 
5.7%
성 106
 
5.7%
시 99
 
5.3%
서 96
 
5.1%
울 95
 
5.1%
로 95
 
5.1%
구 95
 
5.1%
별 95
 
5.1%
특 95
 
5.1%
Other values (115) 834
44.5%
Decimal Number
ValueCountFrequency (%)
1 102
20.2%
2 93
18.4%
3 61
12.1%
0 50
9.9%
4 47
9.3%
5 41
8.1%
7 35
 
6.9%
8 33
 
6.5%
6 30
 
5.9%
9 14
 
2.8%
Uppercase Letter
ValueCountFrequency (%)
B 3
60.0%
A 1
 
20.0%
F 1
 
20.0%
Space Separator
ValueCountFrequency (%)
528
100.0%
Close Punctuation
ValueCountFrequency (%)
) 98
100.0%
Open Punctuation
ValueCountFrequency (%)
( 98
100.0%
Other Punctuation
ValueCountFrequency (%)
, 91
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1875
58.3%
Common 1334
41.5%
Latin 5
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 158
 
8.4%
북 107
 
5.7%
성 106
 
5.7%
시 99
 
5.3%
서 96
 
5.1%
울 95
 
5.1%
로 95
 
5.1%
구 95
 
5.1%
별 95
 
5.1%
특 95
 
5.1%
Other values (115) 834
44.5%
Common
ValueCountFrequency (%)
528
39.6%
1 102
 
7.6%
) 98
 
7.3%
( 98
 
7.3%
2 93
 
7.0%
, 91
 
6.8%
3 61
 
4.6%
0 50
 
3.7%
4 47
 
3.5%
5 41
 
3.1%
Other values (5) 125
 
9.4%
Latin
ValueCountFrequency (%)
B 3
60.0%
A 1
 
20.0%
F 1
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1875
58.3%
ASCII 1339
41.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
528
39.4%
1 102
 
7.6%
) 98
 
7.3%
( 98
 
7.3%
2 93
 
6.9%
, 91
 
6.8%
3 61
 
4.6%
0 50
 
3.7%
4 47
 
3.5%
5 41
 
3.1%
Other values (8) 130
 
9.7%
Hangul
ValueCountFrequency (%)
동 158
 
8.4%
북 107
 
5.7%
성 106
 
5.7%
시 99
 
5.3%
서 96
 
5.1%
울 95
 
5.1%
로 95
 
5.1%
구 95
 
5.1%
별 95
 
5.1%
특 95
 
5.1%
Other values (115) 834
44.5%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct51
Distinct (%)76.1%
Missing32
Missing (%)32.3%
Infinite0
Infinite (%)0.0%
Mean18745.015
Minimum2701
Maximum136844
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1023.0 B
2024-04-30T04:21:44.708923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2701
5-th percentile2720.3
Q12749.5
median2797
Q32846
95-th percentile136545.5
Maximum136844
Range134143
Interquartile range (IQR)96.5

Descriptive statistics

Standard deviation43659.256
Coefficient of variation (CV)2.3291129
Kurtosis3.8828735
Mean18745.015
Median Absolute Deviation (MAD)49
Skewness2.4016073
Sum1255916
Variance1.9061306 × 109
MonotonicityNot monotonic
2024-04-30T04:21:44.843349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2846 4
 
4.0%
2832 4
 
4.0%
2735 3
 
3.0%
2751 2
 
2.0%
2781 2
 
2.0%
2829 2
 
2.0%
2803 2
 
2.0%
2787 2
 
2.0%
2788 2
 
2.0%
2862 2
 
2.0%
Other values (41) 42
42.4%
(Missing) 32
32.3%
ValueCountFrequency (%)
2701 1
1.0%
2707 1
1.0%
2717 1
1.0%
2720 1
1.0%
2721 1
1.0%
2726 1
1.0%
2730 1
1.0%
2731 1
1.0%
2732 1
1.0%
2734 1
1.0%
ValueCountFrequency (%)
136844 1
1.0%
136817 1
1.0%
136777 1
1.0%
136757 1
1.0%
136052 1
1.0%
136045 1
1.0%
136044 1
1.0%
136036 1
1.0%
2872 1
1.0%
2862 2
2.0%

사업장명
Text

UNIQUE 

Distinct99
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
2024-04-30T04:21:45.103594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length14
Mean length8.4848485
Min length3

Characters and Unicode

Total characters840
Distinct characters209
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique99 ?
Unique (%)100.0%

Sample

1st row(주)씨엔에이치코리아
2nd row(주)마루여행사
3rd row(주)나래에어젠시
4th row(주)동아써비스
5th row신한항공
ValueCountFrequency (%)
주식회사 17
 
13.2%
투어 4
 
3.1%
tour 2
 
1.6%
투어핏 1
 
0.8%
젤리트래블 1
 
0.8%
더이엘투어 1
 
0.8%
참투어 1
 
0.8%
주 1
 
0.8%
하늘투어 1
 
0.8%
누리다트립 1
 
0.8%
Other values (99) 99
76.7%
2024-04-30T04:21:45.470801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 65
 
7.7%
( 51
 
6.1%
) 51
 
6.1%
어 38
 
4.5%
투 34
 
4.0%
사 33
 
3.9%
30
 
3.6%
이 26
 
3.1%
여 20
 
2.4%
회 19
 
2.3%
Other values (199) 473
56.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 645
76.8%
Open Punctuation 51
 
6.1%
Close Punctuation 51
 
6.1%
Uppercase Letter 31
 
3.7%
Space Separator 30
 
3.6%
Lowercase Letter 25
 
3.0%
Decimal Number 7
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 65
 
10.1%
어 38
 
5.9%
투 34
 
5.3%
사 33
 
5.1%
이 26
 
4.0%
여 20
 
3.1%
회 19
 
2.9%
식 18
 
2.8%
행 18
 
2.8%
스 16
 
2.5%
Other values (164) 358
55.5%
Uppercase Letter
ValueCountFrequency (%)
P 3
9.7%
I 3
9.7%
T 3
9.7%
S 3
9.7%
A 3
9.7%
J 3
9.7%
E 2
 
6.5%
L 2
 
6.5%
N 1
 
3.2%
U 1
 
3.2%
Other values (7) 7
22.6%
Lowercase Letter
ValueCountFrequency (%)
n 4
16.0%
r 3
12.0%
o 3
12.0%
e 3
12.0%
a 3
12.0%
t 3
12.0%
u 2
8.0%
v 1
 
4.0%
g 1
 
4.0%
l 1
 
4.0%
Decimal Number
ValueCountFrequency (%)
5 3
42.9%
2 2
28.6%
3 1
 
14.3%
1 1
 
14.3%
Open Punctuation
ValueCountFrequency (%)
( 51
100.0%
Close Punctuation
ValueCountFrequency (%)
) 51
100.0%
Space Separator
ValueCountFrequency (%)
30
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 645
76.8%
Common 139
 
16.5%
Latin 56
 
6.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 65
 
10.1%
어 38
 
5.9%
투 34
 
5.3%
사 33
 
5.1%
이 26
 
4.0%
여 20
 
3.1%
회 19
 
2.9%
식 18
 
2.8%
행 18
 
2.8%
스 16
 
2.5%
Other values (164) 358
55.5%
Latin
ValueCountFrequency (%)
n 4
 
7.1%
r 3
 
5.4%
o 3
 
5.4%
P 3
 
5.4%
e 3
 
5.4%
I 3
 
5.4%
a 3
 
5.4%
T 3
 
5.4%
t 3
 
5.4%
S 3
 
5.4%
Other values (18) 25
44.6%
Common
ValueCountFrequency (%)
( 51
36.7%
) 51
36.7%
30
21.6%
5 3
 
2.2%
2 2
 
1.4%
3 1
 
0.7%
1 1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 645
76.8%
ASCII 195
 
23.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 65
 
10.1%
어 38
 
5.9%
투 34
 
5.3%
사 33
 
5.1%
이 26
 
4.0%
여 20
 
3.1%
회 19
 
2.9%
식 18
 
2.8%
행 18
 
2.8%
스 16
 
2.5%
Other values (164) 358
55.5%
ASCII
ValueCountFrequency (%)
( 51
26.2%
) 51
26.2%
30
15.4%
n 4
 
2.1%
r 3
 
1.5%
o 3
 
1.5%
P 3
 
1.5%
e 3
 
1.5%
I 3
 
1.5%
a 3
 
1.5%
Other values (25) 41
21.0%

최종수정일자
Date

Distinct96
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
Minimum2003-04-18 14:23:53
Maximum2024-04-01 17:22:51
2024-04-30T04:21:45.820614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:21:45.941605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
I
58 
U
40 
D
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 58
58.6%
U 40
40.4%
D 1
 
1.0%

Length

2024-04-30T04:21:46.068785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:21:46.151872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 58
58.6%
u 40
40.4%
d 1
 
1.0%

데이터갱신일자
Date

Distinct46
Distinct (%)46.5%
Missing0
Missing (%)0.0%
Memory size924.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:03:00
2024-04-30T04:21:46.241694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:21:46.365069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing99
Missing (%)100.0%
Memory size1023.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct80
Distinct (%)83.3%
Missing3
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean202262.26
Minimum199586.32
Maximum205729.35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1023.0 B
2024-04-30T04:21:46.488474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum199586.32
5-th percentile199898.13
Q1201246.4
median201822.05
Q3203432.5
95-th percentile205346.66
Maximum205729.35
Range6143.0308
Interquartile range (IQR)2186.0961

Descriptive statistics

Standard deviation1605.6707
Coefficient of variation (CV)0.0079385581
Kurtosis-0.39492689
Mean202262.26
Median Absolute Deviation (MAD)844.10222
Skewness0.64411022
Sum19417177
Variance2578178.5
MonotonicityNot monotonic
2024-04-30T04:21:46.609280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
202029.981799661 5
 
5.1%
201009.143382174 4
 
4.0%
203502.004139568 3
 
3.0%
201247.783570874 2
 
2.0%
205729.347626245 2
 
2.0%
201385.517922862 2
 
2.0%
199628.172805473 2
 
2.0%
202466.801104742 2
 
2.0%
202887.736215434 2
 
2.0%
201284.583416991 2
 
2.0%
Other values (70) 70
70.7%
(Missing) 3
 
3.0%
ValueCountFrequency (%)
199586.316865115 1
1.0%
199628.172805473 2
2.0%
199665.525800799 1
1.0%
199861.559742765 1
1.0%
199910.319734384 1
1.0%
200162.980308835 1
1.0%
200283.931771215 1
1.0%
200357.047976682 1
1.0%
200599.789113913 1
1.0%
200706.925859114 1
1.0%
ValueCountFrequency (%)
205729.347626245 2
2.0%
205704.366298809 1
1.0%
205392.264342531 1
1.0%
205362.887873815 1
1.0%
205341.25265832 1
1.0%
205330.781246391 1
1.0%
205300.672299033 1
1.0%
205216.606119451 1
1.0%
205159.455380776 1
1.0%
205150.125581217 1
1.0%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct80
Distinct (%)83.3%
Missing3
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean455237.82
Minimum452935.22
Maximum457844.35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1023.0 B
2024-04-30T04:21:46.731984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum452935.22
5-th percentile453777.69
Q1454363.29
median455500.57
Q3456052.13
95-th percentile456761.67
Maximum457844.35
Range4909.1265
Interquartile range (IQR)1688.8354

Descriptive statistics

Standard deviation1071.6769
Coefficient of variation (CV)0.0023541034
Kurtosis-0.63676484
Mean455237.82
Median Absolute Deviation (MAD)967.13583
Skewness0.03933853
Sum43702831
Variance1148491.4
MonotonicityNot monotonic
2024-04-30T04:21:46.878797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
455605.716911266 5
 
5.1%
454372.92483827 4
 
4.0%
455500.568972657 3
 
3.0%
455660.467329469 2
 
2.0%
456761.672987092 2
 
2.0%
454316.09806427 2
 
2.0%
456534.7766001 2
 
2.0%
456227.571665528 2
 
2.0%
455516.20316339 2
 
2.0%
454363.294042709 2
 
2.0%
Other values (70) 70
70.7%
(Missing) 3
 
3.0%
ValueCountFrequency (%)
452935.221547454 1
1.0%
452975.540206698 1
1.0%
452998.923564259 1
1.0%
453340.14922552 1
1.0%
453454.226068463 1
1.0%
453885.512398186 1
1.0%
453984.326176945 1
1.0%
453988.035643674 1
1.0%
453998.861853282 1
1.0%
454032.238164153 1
1.0%
ValueCountFrequency (%)
457844.348010616 1
1.0%
457678.401608072 1
1.0%
457130.07705801 1
1.0%
456812.157993901 1
1.0%
456761.672987092 2
2.0%
456753.873513306 1
1.0%
456693.646442838 1
1.0%
456604.835522806 1
1.0%
456599.762996469 1
1.0%
456564.295717205 1
1.0%

문화체육업종명
Categorical

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
국내외여행업
64 
<NA>
35 

Length

Max length6
Median length6
Mean length5.2929293
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
국내외여행업 64
64.6%
<NA> 35
35.4%

Length

2024-04-30T04:21:47.043485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:21:47.135201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국내외여행업 64
64.6%
na 35
35.4%

문화사업자구분명
Categorical

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
<NA>
63 
관광사업
36 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 63
63.6%
관광사업 36
36.4%

Length

2024-04-30T04:21:47.222666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:21:47.298447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 63
63.6%
관광사업 36
36.4%

지역구분명
Categorical

IMBALANCE 

Distinct5
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size924.0 B
<NA>
87 
일반주거지역
9 
근린상업지역
 
1
일반상업지역
 
1
준주거지역
 
1

Length

Max length6
Median length4
Mean length4.2323232
Min length4

Unique

Unique3 ?
Unique (%)3.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 87
87.9%
일반주거지역 9
 
9.1%
근린상업지역 1
 
1.0%
일반상업지역 1
 
1.0%
준주거지역 1
 
1.0%

Length

2024-04-30T04:21:47.398314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:21:47.516340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 87
87.9%
일반주거지역 9
 
9.1%
근린상업지역 1
 
1.0%
일반상업지역 1
 
1.0%
준주거지역 1
 
1.0%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)36.4%
Missing77
Missing (%)77.8%
Infinite0
Infinite (%)0.0%
Mean3.3636364
Minimum0
Maximum9
Zeros7
Zeros (%)7.1%
Negative0
Negative (%)0.0%
Memory size1023.0 B
2024-04-30T04:21:47.613985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q35
95-th percentile6.95
Maximum9
Range9
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.7350538
Coefficient of variation (CV)0.81312411
Kurtosis-0.93101471
Mean3.3636364
Median Absolute Deviation (MAD)2
Skewness0.070585651
Sum74
Variance7.4805195
MonotonicityNot monotonic
2024-04-30T04:21:47.717345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 7
 
7.1%
4 5
 
5.1%
6 3
 
3.0%
5 3
 
3.0%
7 1
 
1.0%
2 1
 
1.0%
9 1
 
1.0%
3 1
 
1.0%
(Missing) 77
77.8%
ValueCountFrequency (%)
0 7
7.1%
2 1
 
1.0%
3 1
 
1.0%
4 5
5.1%
5 3
3.0%
6 3
3.0%
7 1
 
1.0%
9 1
 
1.0%
ValueCountFrequency (%)
9 1
 
1.0%
7 1
 
1.0%
6 3
3.0%
5 3
3.0%
4 5
5.1%
3 1
 
1.0%
2 1
 
1.0%
0 7
7.1%

주변환경명
Text

MISSING 

Distinct4
Distinct (%)50.0%
Missing91
Missing (%)91.9%
Memory size924.0 B
2024-04-30T04:21:47.819811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length2
Mean length3.875
Min length2

Characters and Unicode

Total characters31
Distinct characters21
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)37.5%

Sample

1st row기타
2nd row기타
3rd row기타
4th row기타
5th row유흥업소밀집지역
ValueCountFrequency (%)
기타 5
62.5%
유흥업소밀집지역 1
 
12.5%
학교정화(상대 1
 
12.5%
아파트지역 1
 
12.5%
2024-04-30T04:21:48.040544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 5
16.1%
타 5
16.1%
지 2
 
6.5%
역 2
 
6.5%
정 1
 
3.2%
파 1
 
3.2%
아 1
 
3.2%
) 1
 
3.2%
대 1
 
3.2%
상 1
 
3.2%
Other values (11) 11
35.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 29
93.5%
Close Punctuation 1
 
3.2%
Open Punctuation 1
 
3.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 5
17.2%
타 5
17.2%
지 2
 
6.9%
역 2
 
6.9%
정 1
 
3.4%
파 1
 
3.4%
아 1
 
3.4%
대 1
 
3.4%
상 1
 
3.4%
화 1
 
3.4%
Other values (9) 9
31.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 29
93.5%
Common 2
 
6.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 5
17.2%
타 5
17.2%
지 2
 
6.9%
역 2
 
6.9%
정 1
 
3.4%
파 1
 
3.4%
아 1
 
3.4%
대 1
 
3.4%
상 1
 
3.4%
화 1
 
3.4%
Other values (9) 9
31.0%
Common
ValueCountFrequency (%)
) 1
50.0%
( 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 29
93.5%
ASCII 2
 
6.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 5
17.2%
타 5
17.2%
지 2
 
6.9%
역 2
 
6.9%
정 1
 
3.4%
파 1
 
3.4%
아 1
 
3.4%
대 1
 
3.4%
상 1
 
3.4%
화 1
 
3.4%
Other values (9) 9
31.0%
ASCII
ValueCountFrequency (%)
) 1
50.0%
( 1
50.0%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing99
Missing (%)100.0%
Memory size1023.0 B

보험기관명
Categorical

Distinct17
Distinct (%)17.2%
Missing0
Missing (%)0.0%
Memory size924.0 B
<NA>
50 
서울보증보험
15 
서울보증보험주식회사
6 
서울보증보험(주)
 
5
한국관광협회중앙회 여행공제회
 
4
Other values (12)
19 

Length

Max length19
Median length4
Mean length6.9292929
Min length4

Unique

Unique6 ?
Unique (%)6.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 50
50.5%
서울보증보험 15
 
15.2%
서울보증보험주식회사 6
 
6.1%
서울보증보험(주) 5
 
5.1%
한국관광협회중앙회 여행공제회 4
 
4.0%
한국관광협회중앙회 3
 
3.0%
서울보증보험(40,000,000) 2
 
2.0%
여행공제회 2
 
2.0%
서울특별시관광협회 2
 
2.0%
서울보증보험(30,000,000) 2
 
2.0%
Other values (7) 8
 
8.1%

Length

2024-04-30T04:21:48.162224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 50
48.1%
서울보증보험 16
 
15.4%
한국관광협회중앙회 7
 
6.7%
서울보증보험주식회사 6
 
5.8%
여행공제회 6
 
5.8%
서울보증보험(주 5
 
4.8%
서울보증보험(40,000,000 2
 
1.9%
서울특별시관광협회 2
 
1.9%
서울보증보험(30,000,000 2
 
1.9%
한국관광협회중앙회여행공제회 2
 
1.9%
Other values (6) 6
 
5.8%

건물용도명
Categorical

IMBALANCE 

Distinct5
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size924.0 B
<NA>
80 
근린생활시설
14 
교육연구시설
 
2
사무실
 
2
문화시설
 
1

Length

Max length6
Median length4
Mean length4.3030303
Min length3

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 80
80.8%
근린생활시설 14
 
14.1%
교육연구시설 2
 
2.0%
사무실 2
 
2.0%
문화시설 1
 
1.0%

Length

2024-04-30T04:21:48.285936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:21:48.367394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 80
80.8%
근린생활시설 14
 
14.1%
교육연구시설 2
 
2.0%
사무실 2
 
2.0%
문화시설 1
 
1.0%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)30.8%
Missing73
Missing (%)73.7%
Infinite0
Infinite (%)0.0%
Mean4
Minimum0
Maximum27
Zeros6
Zeros (%)6.1%
Negative0
Negative (%)0.0%
Memory size1023.0 B
2024-04-30T04:21:48.454607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median4
Q34.75
95-th percentile7
Maximum27
Range27
Interquartile range (IQR)2.75

Descriptive statistics

Standard deviation5.1691392
Coefficient of variation (CV)1.2922848
Kurtosis16.668982
Mean4
Median Absolute Deviation (MAD)2
Skewness3.7065032
Sum104
Variance26.72
MonotonicityNot monotonic
2024-04-30T04:21:48.545918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
4 7
 
7.1%
0 6
 
6.1%
2 4
 
4.0%
5 3
 
3.0%
7 2
 
2.0%
3 2
 
2.0%
6 1
 
1.0%
27 1
 
1.0%
(Missing) 73
73.7%
ValueCountFrequency (%)
0 6
6.1%
2 4
4.0%
3 2
 
2.0%
4 7
7.1%
5 3
3.0%
6 1
 
1.0%
7 2
 
2.0%
27 1
 
1.0%
ValueCountFrequency (%)
27 1
 
1.0%
7 2
 
2.0%
6 1
 
1.0%
5 3
3.0%
4 7
7.1%
3 2
 
2.0%
2 4
4.0%
0 6
6.1%

지하층수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)28.6%
Missing78
Missing (%)78.8%
Infinite0
Infinite (%)0.0%
Mean1.3809524
Minimum0
Maximum6
Zeros6
Zeros (%)6.1%
Negative0
Negative (%)0.0%
Memory size1023.0 B
2024-04-30T04:21:48.628543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile5
Maximum6
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.6575944
Coefficient of variation (CV)1.2003269
Kurtosis2.7194276
Mean1.3809524
Median Absolute Deviation (MAD)1
Skewness1.7962595
Sum29
Variance2.747619
MonotonicityNot monotonic
2024-04-30T04:21:48.708817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 10
 
10.1%
0 6
 
6.1%
2 2
 
2.0%
6 1
 
1.0%
4 1
 
1.0%
5 1
 
1.0%
(Missing) 78
78.8%
ValueCountFrequency (%)
0 6
6.1%
1 10
10.1%
2 2
 
2.0%
4 1
 
1.0%
5 1
 
1.0%
6 1
 
1.0%
ValueCountFrequency (%)
6 1
 
1.0%
5 1
 
1.0%
4 1
 
1.0%
2 2
 
2.0%
1 10
10.1%
0 6
6.1%

객실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
<NA>
95 
0
 
4

Length

Max length4
Median length4
Mean length3.8787879
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> 95
96.0%
0 4
 
4.0%

Length

2024-04-30T04:21:48.804635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:21:48.879430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 95
96.0%
0 4
 
4.0%

건축연면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
<NA>
95 
0
 
4

Length

Max length4
Median length4
Mean length3.8787879
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> 95
96.0%
0 4
 
4.0%

Length

2024-04-30T04:21:48.964336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:21:49.048172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 95
96.0%
0 4
 
4.0%

영문상호명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing98
Missing (%)99.0%
Memory size924.0 B
2024-04-30T04:21:49.142341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length15
Mean length15
Min length15

Characters and Unicode

Total characters15
Distinct characters13
Distinct categories4 ?
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 rowNuridatrip Inc.
ValueCountFrequency (%)
nuridatrip 1
50.0%
inc 1
50.0%
2024-04-30T04:21:49.362653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
r 2
13.3%
i 2
13.3%
N 1
 
6.7%
u 1
 
6.7%
d 1
 
6.7%
a 1
 
6.7%
t 1
 
6.7%
p 1
 
6.7%
1
 
6.7%
I 1
 
6.7%
Other values (3) 3
20.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 11
73.3%
Uppercase Letter 2
 
13.3%
Space Separator 1
 
6.7%
Other Punctuation 1
 
6.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
r 2
18.2%
i 2
18.2%
u 1
9.1%
d 1
9.1%
a 1
9.1%
t 1
9.1%
p 1
9.1%
n 1
9.1%
c 1
9.1%
Uppercase Letter
ValueCountFrequency (%)
N 1
50.0%
I 1
50.0%
Space Separator
ValueCountFrequency (%)
1
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 13
86.7%
Common 2
 
13.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
r 2
15.4%
i 2
15.4%
N 1
7.7%
u 1
7.7%
d 1
7.7%
a 1
7.7%
t 1
7.7%
p 1
7.7%
I 1
7.7%
n 1
7.7%
Common
ValueCountFrequency (%)
1
50.0%
. 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
r 2
13.3%
i 2
13.3%
N 1
 
6.7%
u 1
 
6.7%
d 1
 
6.7%
a 1
 
6.7%
t 1
 
6.7%
p 1
 
6.7%
1
 
6.7%
I 1
 
6.7%
Other values (3) 3
20.0%

영문상호주소
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing98
Missing (%)99.0%
Memory size924.0 B
2024-04-30T04:21:49.475286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length15
Mean length15
Min length15

Characters and Unicode

Total characters15
Distinct characters12
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 rowForeign tourism
ValueCountFrequency (%)
foreign 1
50.0%
tourism 1
50.0%
2024-04-30T04:21:49.678003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 2
13.3%
r 2
13.3%
i 2
13.3%
F 1
6.7%
e 1
6.7%
g 1
6.7%
n 1
6.7%
1
6.7%
t 1
6.7%
u 1
6.7%
Other values (2) 2
13.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 13
86.7%
Uppercase Letter 1
 
6.7%
Space Separator 1
 
6.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 2
15.4%
r 2
15.4%
i 2
15.4%
e 1
7.7%
g 1
7.7%
n 1
7.7%
t 1
7.7%
u 1
7.7%
s 1
7.7%
m 1
7.7%
Uppercase Letter
ValueCountFrequency (%)
F 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 14
93.3%
Common 1
 
6.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 2
14.3%
r 2
14.3%
i 2
14.3%
F 1
7.1%
e 1
7.1%
g 1
7.1%
n 1
7.1%
t 1
7.1%
u 1
7.1%
s 1
7.1%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 2
13.3%
r 2
13.3%
i 2
13.3%
F 1
6.7%
e 1
6.7%
g 1
6.7%
n 1
6.7%
1
6.7%
t 1
6.7%
u 1
6.7%
Other values (2) 2
13.3%

선박총톤수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
<NA>
95 
0
 
4

Length

Max length4
Median length4
Mean length3.8787879
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> 95
96.0%
0 4
 
4.0%

Length

2024-04-30T04:21:49.781266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:21:49.863477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 95
96.0%
0 4
 
4.0%

선박척수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
<NA>
95 
0
 
4

Length

Max length4
Median length4
Mean length3.8787879
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> 95
96.0%
0 4
 
4.0%

Length

2024-04-30T04:21:49.958412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:21:50.037599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 95
96.0%
0 4
 
4.0%

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing99
Missing (%)100.0%
Memory size1023.0 B

무대면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
<NA>
95 
0
 
4

Length

Max length4
Median length4
Mean length3.8787879
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> 95
96.0%
0 4
 
4.0%

Length

2024-04-30T04:21:50.116514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:21:50.193768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 95
96.0%
0 4
 
4.0%

좌석수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
<NA>
95 
0
 
4

Length

Max length4
Median length4
Mean length3.8787879
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> 95
96.0%
0 4
 
4.0%

Length

2024-04-30T04:21:50.277151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:21:50.362046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 95
96.0%
0 4
 
4.0%

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing99
Missing (%)100.0%
Memory size1023.0 B

회의실별동시수용인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
<NA>
95 
0
 
4

Length

Max length4
Median length4
Mean length3.8787879
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> 95
96.0%
0 4
 
4.0%

Length

2024-04-30T04:21:50.457105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:21:50.536160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 95
96.0%
0 4
 
4.0%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct24
Distinct (%)80.0%
Missing69
Missing (%)69.7%
Infinite0
Infinite (%)0.0%
Mean49.592
Minimum0
Maximum220.94
Zeros6
Zeros (%)6.1%
Negative0
Negative (%)0.0%
Memory size1023.0 B
2024-04-30T04:21:50.615975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q116.55
median35.05
Q376.71
95-th percentile116.535
Maximum220.94
Range220.94
Interquartile range (IQR)60.16

Descriptive statistics

Standard deviation49.120168
Coefficient of variation (CV)0.99048573
Kurtosis3.6934764
Mean49.592
Median Absolute Deviation (MAD)30.8
Skewness1.5894337
Sum1487.76
Variance2412.7909
MonotonicityNot monotonic
2024-04-30T04:21:50.903702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0.0 6
 
6.1%
26.4 2
 
2.0%
55.14 1
 
1.0%
65.7 1
 
1.0%
33.05 1
 
1.0%
37.05 1
 
1.0%
50.25 1
 
1.0%
15.4 1
 
1.0%
98.26 1
 
1.0%
87.34 1
 
1.0%
Other values (14) 14
 
14.1%
(Missing) 69
69.7%
ValueCountFrequency (%)
0.0 6
6.1%
5.0 1
 
1.0%
15.4 1
 
1.0%
20.0 1
 
1.0%
24.86 1
 
1.0%
26.4 2
 
2.0%
28.0 1
 
1.0%
30.0 1
 
1.0%
33.05 1
 
1.0%
37.05 1
 
1.0%
ValueCountFrequency (%)
220.94 1
1.0%
120.0 1
1.0%
112.3 1
1.0%
98.26 1
1.0%
97.56 1
1.0%
97.04 1
1.0%
87.34 1
1.0%
80.28 1
1.0%
66.0 1
1.0%
65.7 1
1.0%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing99
Missing (%)100.0%
Memory size1023.0 B

놀이시설수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
<NA>
95 
0
 
4

Length

Max length4
Median length4
Mean length3.8787879
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> 95
96.0%
0 4
 
4.0%

Length

2024-04-30T04:21:51.004283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:21:51.086503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 95
96.0%
0 4
 
4.0%

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing99
Missing (%)100.0%
Memory size1023.0 B

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing99
Missing (%)100.0%
Memory size1023.0 B

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing99
Missing (%)100.0%
Memory size1023.0 B

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing99
Missing (%)100.0%
Memory size1023.0 B

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing99
Missing (%)100.0%
Memory size1023.0 B

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing99
Missing (%)100.0%
Memory size1023.0 B

자본금
Real number (ℝ)

MISSING  ZEROS 

Distinct18
Distinct (%)34.6%
Missing47
Missing (%)47.5%
Infinite0
Infinite (%)0.0%
Mean1.0012595 × 108
Minimum0
Maximum6 × 108
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1023.0 B
2024-04-30T04:21:51.167128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile30000000
Q160000000
median1 × 108
Q31 × 108
95-th percentile1.78 × 108
Maximum6 × 108
Range6 × 108
Interquartile range (IQR)40000000

Descriptive statistics

Standard deviation85064106
Coefficient of variation (CV)0.84957103
Kurtosis23.966366
Mean1.0012595 × 108
Median Absolute Deviation (MAD)14061413
Skewness4.3206173
Sum5.2065494 × 109
Variance7.2359022 × 1015
MonotonicityNot monotonic
2024-04-30T04:21:51.277553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
100000000 22
22.2%
60000000 7
 
7.1%
30000000 6
 
6.1%
150000000 2
 
2.0%
90000000 2
 
2.0%
160000000 1
 
1.0%
105000000 1
 
1.0%
200000000 1
 
1.0%
300000000 1
 
1.0%
104855829 1
 
1.0%
Other values (8) 8
 
8.1%
(Missing) 47
47.5%
ValueCountFrequency (%)
0 1
 
1.0%
30000000 6
 
6.1%
30002842 1
 
1.0%
60000000 7
 
7.1%
60002160 1
 
1.0%
67549455 1
 
1.0%
80761910 1
 
1.0%
81877174 1
 
1.0%
90000000 2
 
2.0%
100000000 22
22.2%
ValueCountFrequency (%)
600000000 1
 
1.0%
300000000 1
 
1.0%
200000000 1
 
1.0%
160000000 1
 
1.0%
150000000 2
 
2.0%
136500000 1
 
1.0%
105000000 1
 
1.0%
104855829 1
 
1.0%
100000000 22
22.2%
90000000 2
 
2.0%

보험시작일자
Real number (ℝ)

MISSING 

Distinct49
Distinct (%)100.0%
Missing50
Missing (%)50.5%
Infinite0
Infinite (%)0.0%
Mean20131702
Minimum20041029
Maximum20210920
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1023.0 B
2024-04-30T04:21:51.383685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20041029
5-th percentile20044810
Q120101001
median20140327
Q320170714
95-th percentile20200940
Maximum20210920
Range169891
Interquartile range (IQR)69713

Descriptive statistics

Standard deviation51423.264
Coefficient of variation (CV)0.0025543426
Kurtosis-0.98581179
Mean20131702
Median Absolute Deviation (MAD)39299
Skewness-0.32037857
Sum9.8645342 × 108
Variance2.6443521 × 109
MonotonicityNot monotonic
2024-04-30T04:21:51.495960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
20190407 1
 
1.0%
20120118 1
 
1.0%
20200302 1
 
1.0%
20160329 1
 
1.0%
20150401 1
 
1.0%
20130308 1
 
1.0%
20140529 1
 
1.0%
20210920 1
 
1.0%
20150602 1
 
1.0%
20150724 1
 
1.0%
Other values (39) 39
39.4%
(Missing) 50
50.5%
ValueCountFrequency (%)
20041029 1
1.0%
20041130 1
1.0%
20041201 1
1.0%
20050223 1
1.0%
20050310 1
1.0%
20050412 1
1.0%
20050923 1
1.0%
20060529 1
1.0%
20070517 1
1.0%
20071230 1
1.0%
ValueCountFrequency (%)
20210920 1
1.0%
20210510 1
1.0%
20201218 1
1.0%
20200523 1
1.0%
20200302 1
1.0%
20190711 1
1.0%
20190527 1
1.0%
20190407 1
1.0%
20190405 1
1.0%
20180828 1
1.0%

보험종료일자
Real number (ℝ)

MISSING 

Distinct48
Distinct (%)98.0%
Missing50
Missing (%)50.5%
Infinite0
Infinite (%)0.0%
Mean20142495
Minimum20051028
Maximum20230302
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1023.0 B
2024-04-30T04:21:51.619245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20051028
5-th percentile20054767
Q120110930
median20150109
Q320180714
95-th percentile20216793
Maximum20230302
Range179274
Interquartile range (IQR)69784

Descriptive statistics

Standard deviation52517.169
Coefficient of variation (CV)0.0026072822
Kurtosis-0.9735713
Mean20142495
Median Absolute Deviation (MAD)39081
Skewness-0.26121157
Sum9.8698225 × 108
Variance2.7580531 × 109
MonotonicityNot monotonic
2024-04-30T04:21:51.754642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
20051130 2
 
2.0%
20180330 1
 
1.0%
20230302 1
 
1.0%
20170328 1
 
1.0%
20160331 1
 
1.0%
20140307 1
 
1.0%
20150109 1
 
1.0%
20220919 1
 
1.0%
20160601 1
 
1.0%
20160723 1
 
1.0%
Other values (38) 38
38.4%
(Missing) 50
50.5%
ValueCountFrequency (%)
20051028 1
1.0%
20051130 2
2.0%
20060222 1
1.0%
20060310 1
1.0%
20060412 1
1.0%
20060923 1
1.0%
20070528 1
1.0%
20080517 1
1.0%
20081230 1
1.0%
20100928 1
1.0%
ValueCountFrequency (%)
20230302 1
1.0%
20220919 1
1.0%
20220510 1
1.0%
20211217 1
1.0%
20210812 1
1.0%
20210522 1
1.0%
20200710 1
1.0%
20200526 1
1.0%
20200404 1
1.0%
20200106 1
1.0%

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing99
Missing (%)100.0%
Memory size1023.0 B

시설규모
Real number (ℝ)

MISSING  ZEROS 

Distinct22
Distinct (%)73.3%
Missing69
Missing (%)69.7%
Infinite0
Infinite (%)0.0%
Mean49.533333
Minimum0
Maximum221
Zeros6
Zeros (%)6.1%
Negative0
Negative (%)0.0%
Memory size1023.0 B
2024-04-30T04:21:51.868564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q116.25
median35
Q376.5
95-th percentile116.4
Maximum221
Range221
Interquartile range (IQR)60.25

Descriptive statistics

Standard deviation49.128778
Coefficient of variation (CV)0.99183266
Kurtosis3.7043708
Mean49.533333
Median Absolute Deviation (MAD)31
Skewness1.5918669
Sum1486
Variance2413.6368
MonotonicityNot monotonic
2024-04-30T04:21:51.970176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 6
 
6.1%
26 2
 
2.0%
66 2
 
2.0%
98 2
 
2.0%
55 1
 
1.0%
30 1
 
1.0%
33 1
 
1.0%
37 1
 
1.0%
50 1
 
1.0%
15 1
 
1.0%
Other values (12) 12
 
12.1%
(Missing) 69
69.7%
ValueCountFrequency (%)
0 6
6.1%
5 1
 
1.0%
15 1
 
1.0%
20 1
 
1.0%
25 1
 
1.0%
26 2
 
2.0%
28 1
 
1.0%
30 1
 
1.0%
33 1
 
1.0%
37 1
 
1.0%
ValueCountFrequency (%)
221 1
1.0%
120 1
1.0%
112 1
1.0%
98 2
2.0%
97 1
1.0%
87 1
1.0%
80 1
1.0%
66 2
2.0%
55 1
1.0%
52 1
1.0%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
03070000CDFI226002199500000219950930<NA>3폐업3폐업20000502<NA><NA><NA>9250-600<NA>136045서울특별시 성북구 삼선동5가 261-0번지 5동 501호서울특별시 성북구 삼선교로24길 37, 5동 501호 (삼선동5가)<NA>(주)씨엔에이치코리아2003-04-18 14:23:53I2018-08-31 23:59:59.0<NA>201386.130849454032.238164국내외여행업관광사업<NA>0<NA><NA><NA><NA>00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0
13070000CDFI226002199900000119990128<NA>3폐업3폐업20020504<NA><NA><NA>927-5743<NA>136711서울특별시 성북구 보문동7가 118-0번지 서광빌딩507호서울특별시 성북구 보문로 35 (보문동7가,서광빌딩507호)<NA>(주)마루여행사2003-04-18 14:23:53I2018-08-31 23:59:59.0<NA>201925.121532452935.221547국내외여행업관광사업<NA>0<NA><NA><NA><NA>00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0
23070000CDFI226002199900000219990311<NA>3폐업3폐업20020326<NA><NA><NA>942-7836<NA>136865서울특별시 성북구 하월곡동 18-16번지서울특별시 성북구 화랑로 105 (하월곡동)<NA>(주)나래에어젠시2003-04-18 14:23:53I2018-08-31 23:59:59.0<NA>203752.189759455726.507464국내외여행업관광사업<NA>0<NA><NA><NA><NA>00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0
33070000CDFI226002199900000419991207<NA>3폐업3폐업20050120<NA><NA><NA>2253-4400<NA>136087서울특별시 성북구 보문동7가 112-8번지 세진빌딩205호서울특별시 성북구 보문로 38 (보문동7가,세진빌딩205호)<NA>(주)동아써비스2005-01-20 16:48:45I2018-08-31 23:59:59.0<NA>201963.978237452975.540207국내외여행업관광사업<NA>6<NA><NA><NA>근린생활시설51<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>51.75<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>52
43070000CDFI226002200000000220000412<NA>1영업/정상13영업중<NA><NA><NA><NA>743-0011<NA>136032서울특별시 성북구 동소문동2가 222번지서울특별시 성북구 동소문로 24 (동소문동2가)2860신한항공2020-04-08 21:44:03U2020-04-10 02:40:00.0<NA>200706.925859454119.644777국내외여행업관광사업<NA><NA><NA><NA>한국관광협회중앙회여행공제회<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>300000002017101920181019<NA><NA>
53070000CDFI226002200100000120010612<NA>3폐업3폐업20020323<NA><NA><NA>969-2917<NA>136818서울특별시 성북구 석관동 193-5번지서울특별시 성북구 돌곶이로22길 53 (석관동)<NA>(주)베스트초이스2003-04-18 14:23:53I2018-08-31 23:59:59.0<NA>205300.672299456493.975636국내외여행업관광사업<NA><NA><NA><NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0
63070000CDFI226002200200000120020118<NA>3폐업3폐업20040127<NA><NA><NA>3672-3388<NA>136823서울특별시 성북구 성북동 94-1번지서울특별시 성북구 성북로 122 (성북동)<NA>향우철관주식회사2004-01-28 11:22:08I2018-08-31 23:59:59.0<NA>199586.316865454632.316679국내외여행업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73070000CDFI226002200200000220020401<NA>3폐업3폐업20060303<NA><NA><NA>942-2665<NA>136110서울특별시 성북구 길음동 1276번지 삼부종합상가 102동 3층14-1서울특별시 성북구 동소문로 248 (길음동,삼부종합상가 102동 3층14-1)<NA>(주)탑스투어2007-01-02 15:48:50I2018-08-31 23:59:59.0<NA>202029.9818455605.716911국내외여행업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83070000CDFI226002200200000420020625<NA>3폐업3폐업20060131<NA><NA><NA>957-0845<NA>136120서울특별시 성북구 상월곡동 25-15번지서울특별시 성북구 화랑로 170 (상월곡동)<NA>(주)창호통상2007-01-02 15:47:31I2018-08-31 23:59:59.0<NA>204303.854368456039.834084국내외여행업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93070000CDFI226002200200000520020913<NA>4취소/말소/만료/정지/중지30허가취소<NA><NA><NA><NA>02-3675-5801<NA>136023서울특별시 성북구 성북동1가 120-4번지서울특별시 성북구 창경궁로43길 70-3 (성북동1가)<NA>(주)티알컴2007-03-07 11:19:25I2018-08-31 23:59:59.0<NA>200162.980309454284.632918국내외여행업관광사업<NA><NA><NA><NA>서울보증보험주식회사<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>3000000002005022320060222<NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
893070000CDFI226002202200000620100426<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 하월곡동 230 동일하이빌뉴시티서울특별시 성북구 종암로 167, 지하2층 (하월곡동, 동일하이빌뉴시티)2734하나윈 투어2022-07-08 11:17:28I2021-12-06 23:02:00.0<NA>202667.468802455858.920804<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
903070000CDFI226002202200000720221021<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 종암동 132 종암우림카이저팰리스서울특별시 성북구 종암로 132, 1층 109호 (종암동, 종암우림카이저팰리스)2797주식회사 다이나믹 투어2022-10-21 09:11:48I2021-10-30 22:03:00.0<NA>202887.736215455516.203163<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
913070000CDFI226002202200000820180514<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 석관동 135-2 브룩스톤오피스텔서울특별시 성북구 한천로66길 189, 브룩스톤오피스텔 203호 (석관동)2781주식회사 필드투어2022-12-30 14:24:14I2022-12-01 00:01:00.0<NA>205729.347626456761.672987<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
923070000CDFI22600220230000012023-02-02<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 삼선동4가 336 논현빌딩 1207호서울특별시 성북구 보문로 183, 논현빌딩 1207호 (삼선동4가)2861주식회사 디오제이씨코리아2023-02-06 14:10:50D2022-12-02 00:08:00.0<NA>201234.647468454209.401382<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
933070000CDFI22600220230000032023-05-12<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 길음동 1276 길음삼부컨버니언아파트서울특별시 성북구 동소문로 248, 102동 제지하층 제11호,제12호 (길음동, 길음삼부컨버니언아파트)2735포커스투어2024-02-28 22:04:45U2023-12-03 00:01:00.0<NA>202029.9818455605.716911<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
943070000CDFI22600220230000042023-10-10<NA>1영업/정상13영업중<NA><NA><NA><NA>0236762001<NA><NA>서울특별시 성북구 성북동 97-31서울특별시 성북구 성북로 108, 2층 (성북동)2837주식회사 지오원더스2023-10-10 17:20:23I2022-10-30 23:02:00.0<NA>199665.525801454540.504959<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
953070000CDFI22600220230000052023-10-10<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 동선동4가 294서울특별시 성북구 동소문로27길 1, 303호 (동선동4가)2829(주)서울친구여행사2023-10-11 14:34:50I2022-10-30 23:03:00.0<NA>201609.186392454727.753036<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
963070000CDFI22600220230000062005-03-11<NA>1영업/정상13영업중<NA><NA><NA><NA>744-2626<NA><NA>서울특별시 성북구 장위동 68-78 104호서울특별시 성북구 장위로40다길 19, 104호 (장위동)2770(주)월드애니투어2023-10-17 15:19:21I2022-10-30 23:09:00.0<NA>204658.538567456604.835523<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
973070000CDFI22600220240000012022-06-28<NA>1영업/정상13영업중<NA><NA><NA><NA>02-778-6212<NA><NA>서울특별시 성북구 종암동 81-42 반석스톤빌서울특별시 성북구 종암로21길 81-30, 101호 (종암동, 반석스톤빌)2803주식회사 인디자인252024-01-31 17:54:50U2023-12-02 00:02:00.0<NA>202664.844135455509.71402<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
983070000CDFI22600220240000022024-03-11<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 하월곡동 46-73 코업스타클래스서울특별시 성북구 화랑로 76, 코업스타클래스 지하2층 (하월곡동)2751주식회사 와이티투어2024-03-11 10:34:56I2023-12-02 23:03:00.0<NA>203502.00414455500.568973<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>