Overview

Dataset statistics

Number of variables60
Number of observations46
Missing cells1297
Missing cells (%)47.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory23.5 KiB
Average record size in memory523.9 B

Variable types

Categorical19
Text11
DateTime4
Unsupported18
Numeric8

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
Author중랑구
URLhttps://data.seoul.go.kr/dataList/OA-17608/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
소재지우편번호 is highly imbalanced (74.2%)Imbalance
총층수 is highly imbalanced (61.4%)Imbalance
지상층수 is highly imbalanced (69.6%)Imbalance
지하층수 is highly imbalanced (72.2%)Imbalance
객실수 is highly imbalanced (74.2%)Imbalance
건축연면적 is highly imbalanced (74.2%)Imbalance
선박총톤수 is highly imbalanced (74.2%)Imbalance
선박척수 is highly imbalanced (74.2%)Imbalance
무대면적 is highly imbalanced (74.2%)Imbalance
좌석수 is highly imbalanced (74.2%)Imbalance
회의실별동시수용인원 is highly imbalanced (74.2%)Imbalance
놀이시설수 is highly imbalanced (74.2%)Imbalance
인허가취소일자 has 46 (100.0%) missing valuesMissing
폐업일자 has 34 (73.9%) missing valuesMissing
휴업시작일자 has 46 (100.0%) missing valuesMissing
휴업종료일자 has 46 (100.0%) missing valuesMissing
재개업일자 has 46 (100.0%) missing valuesMissing
전화번호 has 25 (54.3%) missing valuesMissing
소재지면적 has 46 (100.0%) missing valuesMissing
업태구분명 has 46 (100.0%) missing valuesMissing
문화사업자구분명 has 46 (100.0%) missing valuesMissing
지역구분명 has 42 (91.3%) missing valuesMissing
주변환경명 has 44 (95.7%) missing valuesMissing
제작취급품목내용 has 46 (100.0%) missing valuesMissing
보험기관명 has 32 (69.6%) missing valuesMissing
건물용도명 has 40 (87.0%) missing valuesMissing
영문상호명 has 43 (93.5%) missing valuesMissing
영문상호주소 has 43 (93.5%) missing valuesMissing
선박제원 has 46 (100.0%) missing valuesMissing
기념품종류 has 46 (100.0%) missing valuesMissing
시설면적 has 35 (76.1%) missing valuesMissing
놀이기구수내역 has 46 (100.0%) missing valuesMissing
방송시설유무 has 46 (100.0%) missing valuesMissing
발전시설유무 has 46 (100.0%) missing valuesMissing
의무실유무 has 46 (100.0%) missing valuesMissing
안내소유무 has 46 (100.0%) missing valuesMissing
기획여행보험시작일자 has 46 (100.0%) missing valuesMissing
기획여행보험종료일자 has 46 (100.0%) missing valuesMissing
자본금 has 32 (69.6%) missing valuesMissing
보험시작일자 has 32 (69.6%) missing valuesMissing
보험종료일자 has 32 (69.6%) missing valuesMissing
부대시설내역 has 46 (100.0%) missing valuesMissing
시설규모 has 35 (76.1%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
문화사업자구분명 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

Reproduction

Analysis started2024-05-11 06:59:11.862111
Analysis finished2024-05-11 06:59:13.629654
Duration1.77 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size500.0 B
3060000
46 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3060000
2nd row3060000
3rd row3060000
4th row3060000
5th row3060000

Common Values

ValueCountFrequency (%)
3060000 46
100.0%

Length

2024-05-11T06:59:14.014108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:59:14.539363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3060000 46
100.0%

관리번호
Text

UNIQUE 

Distinct46
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size500.0 B
2024-05-11T06:59:15.080861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters920
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

Unique46 ?
Unique (%)100.0%

Sample

1st rowCDFI2260042012000001
2nd rowCDFI2260042014000001
3rd rowCDFI2260042015000001
4th rowCDFI2260042015000003
5th rowCDFI2260042015000004
ValueCountFrequency (%)
cdfi2260042012000001 1
 
2.2%
cdfi2260042023000005 1
 
2.2%
cdfi2260042024000003 1
 
2.2%
cdfi2260042022000001 1
 
2.2%
cdfi2260042022000002 1
 
2.2%
cdfi2260042022000003 1
 
2.2%
cdfi2260042022000004 1
 
2.2%
cdfi2260042023000001 1
 
2.2%
cdfi2260042023000002 1
 
2.2%
cdfi2260042023000003 1
 
2.2%
Other values (36) 36
78.3%
2024-05-11T06:59:16.601120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 367
39.9%
2 179
19.5%
4 58
 
6.3%
6 55
 
6.0%
C 46
 
5.0%
D 46
 
5.0%
F 46
 
5.0%
I 46
 
5.0%
1 39
 
4.2%
3 20
 
2.2%
Other values (4) 18
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 736
80.0%
Uppercase Letter 184
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 367
49.9%
2 179
24.3%
4 58
 
7.9%
6 55
 
7.5%
1 39
 
5.3%
3 20
 
2.7%
5 8
 
1.1%
8 5
 
0.7%
7 3
 
0.4%
9 2
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
C 46
25.0%
D 46
25.0%
F 46
25.0%
I 46
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 736
80.0%
Latin 184
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 367
49.9%
2 179
24.3%
4 58
 
7.9%
6 55
 
7.5%
1 39
 
5.3%
3 20
 
2.7%
5 8
 
1.1%
8 5
 
0.7%
7 3
 
0.4%
9 2
 
0.3%
Latin
ValueCountFrequency (%)
C 46
25.0%
D 46
25.0%
F 46
25.0%
I 46
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 920
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 367
39.9%
2 179
19.5%
4 58
 
6.3%
6 55
 
6.0%
C 46
 
5.0%
D 46
 
5.0%
F 46
 
5.0%
I 46
 
5.0%
1 39
 
4.2%
3 20
 
2.2%
Other values (4) 18
 
2.0%

인허가일자
Date

Distinct44
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size500.0 B
Minimum1982-09-30 00:00:00
Maximum2024-03-26 00:00:00
2024-05-11T06:59:17.140186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T06:59:17.696662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size500.0 B
1
34 
3
9 
5
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 34
73.9%
3 9
 
19.6%
5 3
 
6.5%

Length

2024-05-11T06:59:18.177501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:59:18.541306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 34
73.9%
3 9
 
19.6%
5 3
 
6.5%

영업상태명
Categorical

Distinct3
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size500.0 B
영업/정상
34 
폐업
9 
제외/삭제/전출
 
3

Length

Max length8
Median length5
Mean length4.6086957
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 34
73.9%
폐업 9
 
19.6%
제외/삭제/전출 3
 
6.5%

Length

2024-05-11T06:59:18.895770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:59:19.259054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 34
73.9%
폐업 9
 
19.6%
제외/삭제/전출 3
 
6.5%

상세영업상태코드
Categorical

Distinct3
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size500.0 B
13
34 
3
9 
15
 
3

Length

Max length2
Median length2
Mean length1.8043478
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 34
73.9%
3 9
 
19.6%
15 3
 
6.5%

Length

2024-05-11T06:59:19.664235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:59:20.036839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 34
73.9%
3 9
 
19.6%
15 3
 
6.5%

상세영업상태명
Categorical

Distinct3
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size500.0 B
영업중
34 
폐업
9 
전출
 
3

Length

Max length3
Median length3
Mean length2.7391304
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 34
73.9%
폐업 9
 
19.6%
전출 3
 
6.5%

Length

2024-05-11T06:59:20.468601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:59:21.072155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 34
73.9%
폐업 9
 
19.6%
전출 3
 
6.5%

폐업일자
Date

MISSING 

Distinct12
Distinct (%)100.0%
Missing34
Missing (%)73.9%
Memory size500.0 B
Minimum2015-12-31 00:00:00
Maximum2024-04-04 00:00:00
2024-05-11T06:59:21.520172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T06:59:21.893232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

전화번호
Text

MISSING 

Distinct20
Distinct (%)95.2%
Missing25
Missing (%)54.3%
Memory size500.0 B
2024-05-11T06:59:22.471361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length10.285714
Min length8

Characters and Unicode

Total characters216
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

Unique19 ?
Unique (%)90.5%

Sample

1st row070-7328-9088
2nd row15663035
3rd row024326114
4th row029600247
5th row024960045
ValueCountFrequency (%)
15663035 2
 
9.1%
02-723-2584 1
 
4.5%
02-432-3886 1
 
4.5%
0507-1343-0824 1
 
4.5%
02-977-8610 1
 
4.5%
02-493-5996 1
 
4.5%
02-777-7891 1
 
4.5%
1544-0725 1
 
4.5%
02-438-4846 1
 
4.5%
1533-5057 1
 
4.5%
Other values (11) 11
50.0%
2024-05-11T06:59:23.503486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 31
14.4%
2 31
14.4%
- 24
11.1%
4 23
10.6%
5 21
9.7%
6 18
8.3%
3 17
7.9%
8 16
7.4%
7 14
6.5%
1 11
 
5.1%
Other values (2) 10
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 191
88.4%
Dash Punctuation 24
 
11.1%
Space Separator 1
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 31
16.2%
2 31
16.2%
4 23
12.0%
5 21
11.0%
6 18
9.4%
3 17
8.9%
8 16
8.4%
7 14
7.3%
1 11
 
5.8%
9 9
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 216
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 31
14.4%
2 31
14.4%
- 24
11.1%
4 23
10.6%
5 21
9.7%
6 18
8.3%
3 17
7.9%
8 16
7.4%
7 14
6.5%
1 11
 
5.1%
Other values (2) 10
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 216
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 31
14.4%
2 31
14.4%
- 24
11.1%
4 23
10.6%
5 21
9.7%
6 18
8.3%
3 17
7.9%
8 16
7.4%
7 14
6.5%
1 11
 
5.1%
Other values (2) 10
 
4.6%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

소재지우편번호
Categorical

IMBALANCE 

Distinct5
Distinct (%)10.9%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
42 
131861
 
1
131818
 
1
131757
 
1
131230
 
1

Length

Max length6
Median length4
Mean length4.173913
Min length4

Unique

Unique4 ?
Unique (%)8.7%

Sample

1st row131861
2nd row131818
3rd row131757
4th row131230
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 42
91.3%
131861 1
 
2.2%
131818 1
 
2.2%
131757 1
 
2.2%
131230 1
 
2.2%

Length

2024-05-11T06:59:24.140179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:59:24.601848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 42
91.3%
131861 1
 
2.2%
131818 1
 
2.2%
131757 1
 
2.2%
131230 1
 
2.2%

지번주소
Text

Distinct40
Distinct (%)87.0%
Missing0
Missing (%)0.0%
Memory size500.0 B
2024-05-11T06:59:25.134492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length30
Mean length23.369565
Min length18

Characters and Unicode

Total characters1075
Distinct characters87
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique36 ?
Unique (%)78.3%

Sample

1st row서울특별시 중랑구 상봉동 475-11 우리빌딩 지하1층
2nd row서울특별시 중랑구 면목동 555-39번지
3rd row서울특별시 중랑구 묵동 170-1 묵동자이아파트 204호
4th row서울특별시 중랑구 망우동 364-50번지 아름빌딩 313호
5th row서울특별시 중랑구 상봉동 486-1
ValueCountFrequency (%)
서울특별시 46
21.0%
중랑구 46
21.0%
면목동 11
 
5.0%
상봉동 10
 
4.6%
묵동 9
 
4.1%
신내동 7
 
3.2%
중화동 6
 
2.7%
245-6 4
 
1.8%
666 3
 
1.4%
망우동 3
 
1.4%
Other values (64) 74
33.8%
2024-05-11T06:59:26.281137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
188
17.5%
중 52
 
4.8%
동 49
 
4.6%
1 47
 
4.4%
시 46
 
4.3%
별 46
 
4.3%
특 46
 
4.3%
랑 46
 
4.3%
구 46
 
4.3%
울 46
 
4.3%
Other values (77) 463
43.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 624
58.0%
Decimal Number 206
 
19.2%
Space Separator 188
 
17.5%
Dash Punctuation 39
 
3.6%
Lowercase Letter 12
 
1.1%
Uppercase Letter 6
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
중 52
 
8.3%
동 49
 
7.9%
시 46
 
7.4%
별 46
 
7.4%
특 46
 
7.4%
랑 46
 
7.4%
구 46
 
7.4%
울 46
 
7.4%
서 46
 
7.4%
신 13
 
2.1%
Other values (57) 188
30.1%
Decimal Number
ValueCountFrequency (%)
1 47
22.8%
2 31
15.0%
6 27
13.1%
0 21
10.2%
3 18
 
8.7%
4 18
 
8.7%
5 15
 
7.3%
7 13
 
6.3%
8 11
 
5.3%
9 5
 
2.4%
Lowercase Letter
ValueCountFrequency (%)
e 4
33.3%
c 2
16.7%
n 2
16.7%
t 2
16.7%
r 2
16.7%
Uppercase Letter
ValueCountFrequency (%)
V 2
33.3%
K 2
33.3%
S 2
33.3%
Space Separator
ValueCountFrequency (%)
188
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 39
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 624
58.0%
Common 433
40.3%
Latin 18
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
중 52
 
8.3%
동 49
 
7.9%
시 46
 
7.4%
별 46
 
7.4%
특 46
 
7.4%
랑 46
 
7.4%
구 46
 
7.4%
울 46
 
7.4%
서 46
 
7.4%
신 13
 
2.1%
Other values (57) 188
30.1%
Common
ValueCountFrequency (%)
188
43.4%
1 47
 
10.9%
- 39
 
9.0%
2 31
 
7.2%
6 27
 
6.2%
0 21
 
4.8%
3 18
 
4.2%
4 18
 
4.2%
5 15
 
3.5%
7 13
 
3.0%
Other values (2) 16
 
3.7%
Latin
ValueCountFrequency (%)
e 4
22.2%
V 2
11.1%
K 2
11.1%
c 2
11.1%
n 2
11.1%
t 2
11.1%
r 2
11.1%
S 2
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 624
58.0%
ASCII 451
42.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
188
41.7%
1 47
 
10.4%
- 39
 
8.6%
2 31
 
6.9%
6 27
 
6.0%
0 21
 
4.7%
3 18
 
4.0%
4 18
 
4.0%
5 15
 
3.3%
7 13
 
2.9%
Other values (10) 34
 
7.5%
Hangul
ValueCountFrequency (%)
중 52
 
8.3%
동 49
 
7.9%
시 46
 
7.4%
별 46
 
7.4%
특 46
 
7.4%
랑 46
 
7.4%
구 46
 
7.4%
울 46
 
7.4%
서 46
 
7.4%
신 13
 
2.1%
Other values (57) 188
30.1%

도로명주소
Text

Distinct45
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size500.0 B
2024-05-11T06:59:26.979143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length43
Mean length35.826087
Min length25

Characters and Unicode

Total characters1648
Distinct characters130
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique44 ?
Unique (%)95.7%

Sample

1st row서울특별시 중랑구 망우로 166-17 (상봉동, 우리빌딩 지하1층)
2nd row서울특별시 중랑구 면목로55길 56, 1층 (면목동)
3rd row서울특별시 중랑구 동일로 932, 204호 (묵동, 묵동자이아파트)
4th row서울특별시 중랑구 용마산로116길 6, 313호 (망우동, 아름빌딩)
5th row서울특별시 중랑구 봉화산로 121, 502호 (상봉동, 대화빌딩)
ValueCountFrequency (%)
서울특별시 46
 
13.9%
중랑구 46
 
13.9%
면목동 11
 
3.3%
상봉동 10
 
3.0%
동일로 9
 
2.7%
묵동 9
 
2.7%
2층 8
 
2.4%
신내동 7
 
2.1%
봉화산로 6
 
1.8%
중화동 6
 
1.8%
Other values (135) 172
52.1%
2024-05-11T06:59:28.138690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
284
 
17.2%
동 68
 
4.1%
1 63
 
3.8%
, 62
 
3.8%
중 55
 
3.3%
랑 48
 
2.9%
서 47
 
2.9%
울 47
 
2.9%
구 46
 
2.8%
시 46
 
2.8%
Other values (120) 882
53.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 896
54.4%
Space Separator 284
 
17.2%
Decimal Number 275
 
16.7%
Other Punctuation 62
 
3.8%
Close Punctuation 46
 
2.8%
Open Punctuation 46
 
2.8%
Uppercase Letter 15
 
0.9%
Dash Punctuation 12
 
0.7%
Lowercase Letter 12
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 68
 
7.6%
중 55
 
6.1%
랑 48
 
5.4%
서 47
 
5.2%
울 47
 
5.2%
구 46
 
5.1%
시 46
 
5.1%
로 46
 
5.1%
별 46
 
5.1%
특 46
 
5.1%
Other values (91) 401
44.8%
Decimal Number
ValueCountFrequency (%)
1 63
22.9%
2 41
14.9%
3 35
12.7%
5 25
 
9.1%
6 23
 
8.4%
0 23
 
8.4%
9 21
 
7.6%
7 17
 
6.2%
4 17
 
6.2%
8 10
 
3.6%
Uppercase Letter
ValueCountFrequency (%)
A 3
20.0%
V 2
13.3%
K 2
13.3%
S 2
13.3%
E 2
13.3%
B 1
 
6.7%
D 1
 
6.7%
F 1
 
6.7%
C 1
 
6.7%
Lowercase Letter
ValueCountFrequency (%)
e 4
33.3%
c 2
16.7%
n 2
16.7%
t 2
16.7%
r 2
16.7%
Space Separator
ValueCountFrequency (%)
284
100.0%
Other Punctuation
ValueCountFrequency (%)
, 62
100.0%
Close Punctuation
ValueCountFrequency (%)
) 46
100.0%
Open Punctuation
ValueCountFrequency (%)
( 46
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 896
54.4%
Common 725
44.0%
Latin 27
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 68
 
7.6%
중 55
 
6.1%
랑 48
 
5.4%
서 47
 
5.2%
울 47
 
5.2%
구 46
 
5.1%
시 46
 
5.1%
로 46
 
5.1%
별 46
 
5.1%
특 46
 
5.1%
Other values (91) 401
44.8%
Common
ValueCountFrequency (%)
284
39.2%
1 63
 
8.7%
, 62
 
8.6%
) 46
 
6.3%
( 46
 
6.3%
2 41
 
5.7%
3 35
 
4.8%
5 25
 
3.4%
6 23
 
3.2%
0 23
 
3.2%
Other values (5) 77
 
10.6%
Latin
ValueCountFrequency (%)
e 4
14.8%
A 3
11.1%
V 2
7.4%
c 2
7.4%
K 2
7.4%
S 2
7.4%
n 2
7.4%
E 2
7.4%
t 2
7.4%
r 2
7.4%
Other values (4) 4
14.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 896
54.4%
ASCII 752
45.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
284
37.8%
1 63
 
8.4%
, 62
 
8.2%
) 46
 
6.1%
( 46
 
6.1%
2 41
 
5.5%
3 35
 
4.7%
5 25
 
3.3%
6 23
 
3.1%
0 23
 
3.1%
Other values (19) 104
 
13.8%
Hangul
ValueCountFrequency (%)
동 68
 
7.6%
중 55
 
6.1%
랑 48
 
5.4%
서 47
 
5.2%
울 47
 
5.2%
구 46
 
5.1%
시 46
 
5.1%
로 46
 
5.1%
별 46
 
5.1%
특 46
 
5.1%
Other values (91) 401
44.8%

도로명우편번호
Real number (ℝ)

Distinct35
Distinct (%)76.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2107.9783
Minimum2007
Maximum2262
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2024-05-11T06:59:28.593722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2007
5-th percentile2010
Q12049.5
median2108.5
Q32156
95-th percentile2231.25
Maximum2262
Range255
Interquartile range (IQR)106.5

Descriptive statistics

Standard deviation70.054103
Coefficient of variation (CV)0.033232839
Kurtosis-0.56984674
Mean2107.9783
Median Absolute Deviation (MAD)53
Skewness0.36994174
Sum96967
Variance4907.5773
MonotonicityNot monotonic
2024-05-11T06:59:29.071344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
2010 4
 
8.7%
2033 3
 
6.5%
2076 3
 
6.5%
2262 2
 
4.3%
2148 2
 
4.3%
2162 2
 
4.3%
2048 2
 
4.3%
2062 1
 
2.2%
2007 1
 
2.2%
2144 1
 
2.2%
Other values (25) 25
54.3%
ValueCountFrequency (%)
2007 1
 
2.2%
2010 4
8.7%
2014 1
 
2.2%
2031 1
 
2.2%
2033 3
6.5%
2048 2
4.3%
2054 1
 
2.2%
2055 1
 
2.2%
2062 1
 
2.2%
2076 3
6.5%
ValueCountFrequency (%)
2262 2
4.3%
2236 1
2.2%
2217 1
2.2%
2214 1
2.2%
2187 1
2.2%
2176 1
2.2%
2162 2
4.3%
2161 1
2.2%
2159 1
2.2%
2157 1
2.2%

사업장명
Text

Distinct45
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size500.0 B
2024-05-11T06:59:29.720239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length16
Mean length8.7391304
Min length2

Characters and Unicode

Total characters402
Distinct characters146
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

Unique44 ?
Unique (%)95.7%

Sample

1st rowDI TOUR(디 아이 투어)
2nd row주식회사 티엔서울투어
3rd row골드여행사
4th row우신여행사
5th row동주여행사
ValueCountFrequency (%)
주식회사 7
 
10.3%
travel 2
 
2.9%
투어 2
 
2.9%
주)남강트레블서비스 2
 
2.9%
원투투어(one 1
 
1.5%
company 1
 
1.5%
뮤트트래블 1
 
1.5%
올댓트래블 1
 
1.5%
투어비투비 1
 
1.5%
태림밸류 1
 
1.5%
Other values (49) 49
72.1%
2024-05-11T06:59:31.034124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
22
 
5.5%
주 21
 
5.2%
( 16
 
4.0%
) 16
 
4.0%
투 15
 
3.7%
어 14
 
3.5%
트 14
 
3.5%
사 14
 
3.5%
블 9
 
2.2%
식 8
 
2.0%
Other values (136) 253
62.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 283
70.4%
Uppercase Letter 55
 
13.7%
Space Separator 22
 
5.5%
Open Punctuation 16
 
4.0%
Close Punctuation 16
 
4.0%
Lowercase Letter 9
 
2.2%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 21
 
7.4%
투 15
 
5.3%
어 14
 
4.9%
트 14
 
4.9%
사 14
 
4.9%
블 9
 
3.2%
식 8
 
2.8%
회 8
 
2.8%
여 7
 
2.5%
행 7
 
2.5%
Other values (106) 166
58.7%
Uppercase Letter
ValueCountFrequency (%)
E 6
10.9%
T 6
10.9%
R 6
10.9%
O 5
9.1%
C 5
9.1%
A 5
9.1%
I 4
 
7.3%
L 3
 
5.5%
U 2
 
3.6%
D 2
 
3.6%
Other values (8) 11
20.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
22.2%
l 1
11.1%
v 1
11.1%
a 1
11.1%
r 1
11.1%
o 1
11.1%
w 1
11.1%
n 1
11.1%
Space Separator
ValueCountFrequency (%)
22
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 283
70.4%
Latin 64
 
15.9%
Common 55
 
13.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 21
 
7.4%
투 15
 
5.3%
어 14
 
4.9%
트 14
 
4.9%
사 14
 
4.9%
블 9
 
3.2%
식 8
 
2.8%
회 8
 
2.8%
여 7
 
2.5%
행 7
 
2.5%
Other values (106) 166
58.7%
Latin
ValueCountFrequency (%)
E 6
 
9.4%
T 6
 
9.4%
R 6
 
9.4%
O 5
 
7.8%
C 5
 
7.8%
A 5
 
7.8%
I 4
 
6.2%
L 3
 
4.7%
U 2
 
3.1%
D 2
 
3.1%
Other values (16) 20
31.2%
Common
ValueCountFrequency (%)
22
40.0%
( 16
29.1%
) 16
29.1%
, 1
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 283
70.4%
ASCII 119
29.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
22
18.5%
( 16
13.4%
) 16
13.4%
E 6
 
5.0%
T 6
 
5.0%
R 6
 
5.0%
O 5
 
4.2%
C 5
 
4.2%
A 5
 
4.2%
I 4
 
3.4%
Other values (20) 28
23.5%
Hangul
ValueCountFrequency (%)
주 21
 
7.4%
투 15
 
5.3%
어 14
 
4.9%
트 14
 
4.9%
사 14
 
4.9%
블 9
 
3.2%
식 8
 
2.8%
회 8
 
2.8%
여 7
 
2.5%
행 7
 
2.5%
Other values (106) 166
58.7%

최종수정일자
Date

UNIQUE 

Distinct46
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size500.0 B
Minimum2014-03-27 14:48:06
Maximum2024-04-17 13:28:43
2024-05-11T06:59:31.588466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T06:59:32.027061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)

데이터갱신구분
Categorical

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
U
34 
I
12 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 34
73.9%
I 12
 
26.1%

Length

2024-05-11T06:59:32.522115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:59:32.783225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 34
73.9%
i 12
 
26.1%

데이터갱신일자
Date

Distinct39
Distinct (%)84.8%
Missing0
Missing (%)0.0%
Memory size500.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:06:00
2024-05-11T06:59:33.244600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T06:59:33.801363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

좌표정보(X)
Real number (ℝ)

Distinct38
Distinct (%)82.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean207637.93
Minimum206260.39
Maximum209856.12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2024-05-11T06:59:34.346315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum206260.39
5-th percentile206633.66
Q1206896.08
median207533.05
Q3207991.22
95-th percentile209319.28
Maximum209856.12
Range3595.7216
Interquartile range (IQR)1095.1367

Descriptive statistics

Standard deviation876.67723
Coefficient of variation (CV)0.0042221439
Kurtosis0.32873897
Mean207637.93
Median Absolute Deviation (MAD)605.86
Skewness0.80357811
Sum9551344.9
Variance768562.96
MonotonicityNot monotonic
2024-05-11T06:59:34.828199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
206821.108967706 4
 
8.7%
208295.099818379 3
 
6.5%
206777.731391054 2
 
4.3%
207991.217387691 2
 
4.3%
209856.1161416 2
 
4.3%
206260.394582177 1
 
2.2%
207989.613956899 1
 
2.2%
208156.29787686 1
 
2.2%
208478.949850502 1
 
2.2%
206808.914669794 1
 
2.2%
Other values (28) 28
60.9%
ValueCountFrequency (%)
206260.394582177 1
 
2.2%
206285.912434623 1
 
2.2%
206631.89025988 1
 
2.2%
206638.98856311 1
 
2.2%
206777.731391054 2
4.3%
206808.914669794 1
 
2.2%
206821.108967706 4
8.7%
206879.914920135 1
 
2.2%
206944.577884456 1
 
2.2%
206956.392278972 1
 
2.2%
ValueCountFrequency (%)
209856.1161416 2
4.3%
209397.06097793 1
 
2.2%
209085.926142332 1
 
2.2%
208971.850966499 1
 
2.2%
208842.713556665 1
 
2.2%
208478.949850502 1
 
2.2%
208295.099818379 3
6.5%
208156.29787686 1
 
2.2%
207991.217387691 2
4.3%
207989.613956899 1
 
2.2%

좌표정보(Y)
Real number (ℝ)

Distinct38
Distinct (%)82.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean455295.82
Minimum453072.94
Maximum457283.22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2024-05-11T06:59:35.413392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum453072.94
5-th percentile453708.5
Q1454425.43
median455201.24
Q3456096.36
95-th percentile456921.32
Maximum457283.22
Range4210.2793
Interquartile range (IQR)1670.9337

Descriptive statistics

Standard deviation1073.1168
Coefficient of variation (CV)0.002356966
Kurtosis-0.78214236
Mean455295.82
Median Absolute Deviation (MAD)857.49091
Skewness-0.011520858
Sum20943608
Variance1151579.6
MonotonicityNot monotonic
2024-05-11T06:59:36.116307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
456096.359567266 4
 
8.7%
456014.999180519 3
 
6.5%
456837.219624564 2
 
4.3%
454169.82871287 2
 
4.3%
456761.921129526 2
 
4.3%
454407.56632192 1
 
2.2%
455216.672951955 1
 
2.2%
454479.004441366 1
 
2.2%
456167.614560351 1
 
2.2%
456949.35802282 1
 
2.2%
Other values (28) 28
60.9%
ValueCountFrequency (%)
453072.936040777 1
2.2%
453178.839844934 1
2.2%
453583.115557578 1
2.2%
454084.635304618 1
2.2%
454168.902609068 1
2.2%
454169.82871287 2
4.3%
454182.381316743 1
2.2%
454183.01859648 1
2.2%
454291.059304974 1
2.2%
454381.377744304 1
2.2%
ValueCountFrequency (%)
457283.215342184 1
 
2.2%
457150.305157685 1
 
2.2%
456949.35802282 1
 
2.2%
456837.219624564 2
4.3%
456761.921129526 2
4.3%
456392.437191783 1
 
2.2%
456167.614560351 1
 
2.2%
456096.359567266 4
8.7%
456014.999180519 3
6.5%
455913.724028889 1
 
2.2%

문화체육업종명
Categorical

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
28 
종합여행업
18 

Length

Max length5
Median length4
Mean length4.3913043
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 28
60.9%
종합여행업 18
39.1%

Length

2024-05-11T06:59:36.767332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:59:37.501891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 28
60.9%
종합여행업 18
39.1%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

지역구분명
Text

MISSING 

Distinct3
Distinct (%)75.0%
Missing42
Missing (%)91.3%
Memory size500.0 B
2024-05-11T06:59:37.946081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters24
Distinct characters12
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)50.0%

Sample

1st row일반주거지역
2nd row중심상업지역
3rd row근린상업지역
4th row근린상업지역
ValueCountFrequency (%)
근린상업지역 2
50.0%
일반주거지역 1
25.0%
중심상업지역 1
25.0%
2024-05-11T06:59:38.674350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 4
16.7%
역 4
16.7%
상 3
12.5%
업 3
12.5%
근 2
8.3%
린 2
8.3%
일 1
 
4.2%
반 1
 
4.2%
주 1
 
4.2%
거 1
 
4.2%
Other values (2) 2
8.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 4
16.7%
역 4
16.7%
상 3
12.5%
업 3
12.5%
근 2
8.3%
린 2
8.3%
일 1
 
4.2%
반 1
 
4.2%
주 1
 
4.2%
거 1
 
4.2%
Other values (2) 2
8.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 4
16.7%
역 4
16.7%
상 3
12.5%
업 3
12.5%
근 2
8.3%
린 2
8.3%
일 1
 
4.2%
반 1
 
4.2%
주 1
 
4.2%
거 1
 
4.2%
Other values (2) 2
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 4
16.7%
역 4
16.7%
상 3
12.5%
업 3
12.5%
근 2
8.3%
린 2
8.3%
일 1
 
4.2%
반 1
 
4.2%
주 1
 
4.2%
거 1
 
4.2%
Other values (2) 2
8.3%

총층수
Categorical

IMBALANCE 

Distinct5
Distinct (%)10.9%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
39 
1
 
3
0
 
2
6
 
1
15
 
1

Length

Max length4
Median length4
Mean length3.5652174
Min length1

Unique

Unique2 ?
Unique (%)4.3%

Sample

1st row6
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 39
84.8%
1 3
 
6.5%
0 2
 
4.3%
6 1
 
2.2%
15 1
 
2.2%

Length

2024-05-11T06:59:39.162143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:59:39.589858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 39
84.8%
1 3
 
6.5%
0 2
 
4.3%
6 1
 
2.2%
15 1
 
2.2%

주변환경명
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing44
Missing (%)95.7%
Memory size500.0 B
2024-05-11T06:59:39.951046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length4.5
Mean length4.5
Min length2

Characters and Unicode

Total characters9
Distinct characters9
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st row결혼예식장주변
2nd row기타
ValueCountFrequency (%)
결혼예식장주변 1
50.0%
기타 1
50.0%
2024-05-11T06:59:40.693046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
결 1
11.1%
혼 1
11.1%
예 1
11.1%
식 1
11.1%
장 1
11.1%
주 1
11.1%
변 1
11.1%
기 1
11.1%
타 1
11.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
결 1
11.1%
혼 1
11.1%
예 1
11.1%
식 1
11.1%
장 1
11.1%
주 1
11.1%
변 1
11.1%
기 1
11.1%
타 1
11.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
결 1
11.1%
혼 1
11.1%
예 1
11.1%
식 1
11.1%
장 1
11.1%
주 1
11.1%
변 1
11.1%
기 1
11.1%
타 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
결 1
11.1%
혼 1
11.1%
예 1
11.1%
식 1
11.1%
장 1
11.1%
주 1
11.1%
변 1
11.1%
기 1
11.1%
타 1
11.1%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

보험기관명
Text

MISSING 

Distinct10
Distinct (%)71.4%
Missing32
Missing (%)69.6%
Memory size500.0 B
2024-05-11T06:59:41.174660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length12
Mean length11.357143
Min length6

Characters and Unicode

Total characters159
Distinct characters34
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)50.0%

Sample

1st row서울보증보험주식회사
2nd row한국관광협회중앙회
3rd row한국관광협회중앙회여행공제회
4th row서울보증보험
5th row한국여행업협회
ValueCountFrequency (%)
서울보증보험주식회사 3
20.0%
서울보증보험 2
13.3%
한국여행업회(85,000,000 2
13.3%
한국관광협회중앙회 2
13.3%
한국관광협회중앙회여행공제회 1
 
6.7%
한국여행업협회 1
 
6.7%
서을보증보험(이행지급보험 1
 
6.7%
여행공제회 1
 
6.7%
한국관광협회중앙회공제영업보증 1
 
6.7%
서울시관광협회 1
 
6.7%
2024-05-11T06:59:42.011393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
회 17
 
10.7%
보 14
 
8.8%
0 12
 
7.5%
서 7
 
4.4%
증 7
 
4.4%
험 7
 
4.4%
한 7
 
4.4%
국 7
 
4.4%
울 6
 
3.8%
협 6
 
3.8%
Other values (24) 69
43.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 132
83.0%
Decimal Number 16
 
10.1%
Other Punctuation 4
 
2.5%
Close Punctuation 3
 
1.9%
Open Punctuation 3
 
1.9%
Space Separator 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
회 17
 
12.9%
보 14
 
10.6%
서 7
 
5.3%
증 7
 
5.3%
험 7
 
5.3%
한 7
 
5.3%
국 7
 
5.3%
울 6
 
4.5%
협 6
 
4.5%
행 6
 
4.5%
Other values (17) 48
36.4%
Decimal Number
ValueCountFrequency (%)
0 12
75.0%
5 2
 
12.5%
8 2
 
12.5%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 132
83.0%
Common 27
 
17.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
회 17
 
12.9%
보 14
 
10.6%
서 7
 
5.3%
증 7
 
5.3%
험 7
 
5.3%
한 7
 
5.3%
국 7
 
5.3%
울 6
 
4.5%
협 6
 
4.5%
행 6
 
4.5%
Other values (17) 48
36.4%
Common
ValueCountFrequency (%)
0 12
44.4%
, 4
 
14.8%
) 3
 
11.1%
( 3
 
11.1%
5 2
 
7.4%
8 2
 
7.4%
1
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 132
83.0%
ASCII 27
 
17.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
회 17
 
12.9%
보 14
 
10.6%
서 7
 
5.3%
증 7
 
5.3%
험 7
 
5.3%
한 7
 
5.3%
국 7
 
5.3%
울 6
 
4.5%
협 6
 
4.5%
행 6
 
4.5%
Other values (17) 48
36.4%
ASCII
ValueCountFrequency (%)
0 12
44.4%
, 4
 
14.8%
) 3
 
11.1%
( 3
 
11.1%
5 2
 
7.4%
8 2
 
7.4%
1
 
3.7%

건물용도명
Text

MISSING 

Distinct5
Distinct (%)83.3%
Missing40
Missing (%)87.0%
Memory size500.0 B
2024-05-11T06:59:42.379903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length4.8333333
Min length3

Characters and Unicode

Total characters29
Distinct characters17
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)66.7%

Sample

1st row의료시설
2nd row근린생활시설
3rd row교육연구시설
4th row사무실
5th row유통시설
ValueCountFrequency (%)
근린생활시설 2
33.3%
의료시설 1
16.7%
교육연구시설 1
16.7%
사무실 1
16.7%
유통시설 1
16.7%
2024-05-11T06:59:43.178678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 5
17.2%
설 5
17.2%
근 2
 
6.9%
생 2
 
6.9%
활 2
 
6.9%
린 2
 
6.9%
구 1
 
3.4%
유 1
 
3.4%
실 1
 
3.4%
무 1
 
3.4%
Other values (7) 7
24.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 29
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 5
17.2%
설 5
17.2%
근 2
 
6.9%
생 2
 
6.9%
활 2
 
6.9%
린 2
 
6.9%
구 1
 
3.4%
유 1
 
3.4%
실 1
 
3.4%
무 1
 
3.4%
Other values (7) 7
24.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 29
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 5
17.2%
설 5
17.2%
근 2
 
6.9%
생 2
 
6.9%
활 2
 
6.9%
린 2
 
6.9%
구 1
 
3.4%
유 1
 
3.4%
실 1
 
3.4%
무 1
 
3.4%
Other values (7) 7
24.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 29
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 5
17.2%
설 5
17.2%
근 2
 
6.9%
생 2
 
6.9%
활 2
 
6.9%
린 2
 
6.9%
구 1
 
3.4%
유 1
 
3.4%
실 1
 
3.4%
무 1
 
3.4%
Other values (7) 7
24.1%

지상층수
Categorical

IMBALANCE 

Distinct5
Distinct (%)10.9%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
41 
0
 
2
5
 
1
1
 
1
15
 
1

Length

Max length4
Median length4
Mean length3.6956522
Min length1

Unique

Unique3 ?
Unique (%)6.5%

Sample

1st row5
2nd row1
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 41
89.1%
0 2
 
4.3%
5 1
 
2.2%
1 1
 
2.2%
15 1
 
2.2%

Length

2024-05-11T06:59:43.630831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:59:44.032956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 41
89.1%
0 2
 
4.3%
5 1
 
2.2%
1 1
 
2.2%
15 1
 
2.2%

지하층수
Categorical

IMBALANCE 

Distinct4
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
42 
0
 
2
1
 
1
4
 
1

Length

Max length4
Median length4
Mean length3.7391304
Min length1

Unique

Unique2 ?
Unique (%)4.3%

Sample

1st row1
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 42
91.3%
0 2
 
4.3%
1 1
 
2.2%
4 1
 
2.2%

Length

2024-05-11T06:59:44.569390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:59:45.059976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 42
91.3%
0 2
 
4.3%
1 1
 
2.2%
4 1
 
2.2%

객실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
44 
0
 
2

Length

Max length4
Median length4
Mean length3.8695652
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> 44
95.7%
0 2
 
4.3%

Length

2024-05-11T06:59:45.538924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:59:45.954450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
95.7%
0 2
 
4.3%

건축연면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
44 
0
 
2

Length

Max length4
Median length4
Mean length3.8695652
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> 44
95.7%
0 2
 
4.3%

Length

2024-05-11T06:59:46.292992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:59:46.802717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
95.7%
0 2
 
4.3%

영문상호명
Text

MISSING 

Distinct2
Distinct (%)66.7%
Missing43
Missing (%)93.5%
Memory size500.0 B
2024-05-11T06:59:47.194772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length23
Mean length24.666667
Min length23

Characters and Unicode

Total characters74
Distinct characters25
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)33.3%

Sample

1st rowLet’s Go Tour&Resort CO, Ltd
2nd rowNAM KANG TRAVEL SERVICE
3rd rowNAM KANG TRAVEL SERVICE
ValueCountFrequency (%)
nam 2
15.4%
kang 2
15.4%
travel 2
15.4%
service 2
15.4%
let’s 1
7.7%
go 1
7.7%
tour&resort 1
7.7%
co 1
7.7%
ltd 1
7.7%
2024-05-11T06:59:48.220626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10
 
13.5%
E 6
 
8.1%
A 6
 
8.1%
R 5
 
6.8%
N 4
 
5.4%
V 4
 
5.4%
L 4
 
5.4%
t 3
 
4.1%
o 3
 
4.1%
G 3
 
4.1%
Other values (15) 26
35.1%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 47
63.5%
Lowercase Letter 14
 
18.9%
Space Separator 10
 
13.5%
Other Punctuation 2
 
2.7%
Final Punctuation 1
 
1.4%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
E 6
12.8%
A 6
12.8%
R 5
10.6%
N 4
8.5%
V 4
8.5%
L 4
8.5%
G 3
6.4%
T 3
6.4%
C 3
6.4%
I 2
 
4.3%
Other values (4) 7
14.9%
Lowercase Letter
ValueCountFrequency (%)
t 3
21.4%
o 3
21.4%
r 2
14.3%
s 2
14.3%
e 2
14.3%
u 1
 
7.1%
d 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
& 1
50.0%
, 1
50.0%
Space Separator
ValueCountFrequency (%)
10
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 61
82.4%
Common 13
 
17.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
E 6
 
9.8%
A 6
 
9.8%
R 5
 
8.2%
N 4
 
6.6%
V 4
 
6.6%
L 4
 
6.6%
t 3
 
4.9%
o 3
 
4.9%
G 3
 
4.9%
T 3
 
4.9%
Other values (11) 20
32.8%
Common
ValueCountFrequency (%)
10
76.9%
’ 1
 
7.7%
& 1
 
7.7%
, 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 73
98.6%
Punctuation 1
 
1.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10
 
13.7%
E 6
 
8.2%
A 6
 
8.2%
R 5
 
6.8%
N 4
 
5.5%
V 4
 
5.5%
L 4
 
5.5%
t 3
 
4.1%
o 3
 
4.1%
G 3
 
4.1%
Other values (14) 25
34.2%
Punctuation
ValueCountFrequency (%)
’ 1
100.0%

영문상호주소
Text

MISSING 

Distinct2
Distinct (%)66.7%
Missing43
Missing (%)93.5%
Memory size500.0 B
2024-05-11T06:59:48.753825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length23
Mean length23
Min length23

Characters and Unicode

Total characters69
Distinct characters22
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 (%)33.3%

Sample

1st rowGeneral Travel Business
2nd rowGENERAL TRAVEL BUSINESS
3rd rowGENERAL TRAVEL BUSINESS
ValueCountFrequency (%)
general 3
33.3%
travel 3
33.3%
business 3
33.3%
2024-05-11T06:59:49.917904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
E 8
 
11.6%
S 6
 
8.7%
6
 
8.7%
N 4
 
5.8%
R 4
 
5.8%
A 4
 
5.8%
L 4
 
5.8%
e 4
 
5.8%
s 3
 
4.3%
G 3
 
4.3%
Other values (12) 23
33.3%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 45
65.2%
Lowercase Letter 18
 
26.1%
Space Separator 6
 
8.7%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
E 8
17.8%
S 6
13.3%
N 4
8.9%
R 4
8.9%
A 4
8.9%
L 4
8.9%
G 3
 
6.7%
B 3
 
6.7%
T 3
 
6.7%
U 2
 
4.4%
Other values (2) 4
8.9%
Lowercase Letter
ValueCountFrequency (%)
e 4
22.2%
s 3
16.7%
n 2
11.1%
r 2
11.1%
a 2
11.1%
l 2
11.1%
v 1
 
5.6%
u 1
 
5.6%
i 1
 
5.6%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 63
91.3%
Common 6
 
8.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
E 8
 
12.7%
S 6
 
9.5%
N 4
 
6.3%
R 4
 
6.3%
A 4
 
6.3%
L 4
 
6.3%
e 4
 
6.3%
s 3
 
4.8%
G 3
 
4.8%
B 3
 
4.8%
Other values (11) 20
31.7%
Common
ValueCountFrequency (%)
6
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 69
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
E 8
 
11.6%
S 6
 
8.7%
6
 
8.7%
N 4
 
5.8%
R 4
 
5.8%
A 4
 
5.8%
L 4
 
5.8%
e 4
 
5.8%
s 3
 
4.3%
G 3
 
4.3%
Other values (12) 23
33.3%

선박총톤수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
44 
0
 
2

Length

Max length4
Median length4
Mean length3.8695652
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> 44
95.7%
0 2
 
4.3%

Length

2024-05-11T06:59:50.378894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:59:50.854903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
95.7%
0 2
 
4.3%

선박척수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
44 
0
 
2

Length

Max length4
Median length4
Mean length3.8695652
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> 44
95.7%
0 2
 
4.3%

Length

2024-05-11T06:59:51.593575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:59:52.030918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
95.7%
0 2
 
4.3%

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

무대면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
44 
0
 
2

Length

Max length4
Median length4
Mean length3.8695652
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> 44
95.7%
0 2
 
4.3%

Length

2024-05-11T06:59:52.559197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:59:52.996666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
95.7%
0 2
 
4.3%

좌석수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
44 
0
 
2

Length

Max length4
Median length4
Mean length3.8695652
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> 44
95.7%
0 2
 
4.3%

Length

2024-05-11T06:59:53.490085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:59:53.814928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
95.7%
0 2
 
4.3%

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

회의실별동시수용인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
44 
0
 
2

Length

Max length4
Median length4
Mean length3.8695652
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> 44
95.7%
0 2
 
4.3%

Length

2024-05-11T06:59:54.191171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:59:54.568439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
95.7%
0 2
 
4.3%

시설면적
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)90.9%
Missing35
Missing (%)76.1%
Infinite0
Infinite (%)0.0%
Mean193.46455
Minimum22.21
Maximum977.26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2024-05-11T06:59:54.905326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum22.21
5-th percentile27.605
Q152.92
median81.92
Q3198.83
95-th percentile632.74
Maximum977.26
Range955.05
Interquartile range (IQR)145.91

Descriptive statistics

Standard deviation273.48512
Coefficient of variation (CV)1.4136188
Kurtosis8.2950341
Mean193.46455
Median Absolute Deviation (MAD)59.71
Skewness2.7728959
Sum2128.11
Variance74794.109
MonotonicityNot monotonic
2024-05-11T06:59:55.320245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
198.83 2
 
4.3%
977.26 1
 
2.2%
70.0 1
 
2.2%
22.21 1
 
2.2%
81.92 1
 
2.2%
288.22 1
 
2.2%
35.86 1
 
2.2%
152.0 1
 
2.2%
33.0 1
 
2.2%
69.98 1
 
2.2%
(Missing) 35
76.1%
ValueCountFrequency (%)
22.21 1
2.2%
33.0 1
2.2%
35.86 1
2.2%
69.98 1
2.2%
70.0 1
2.2%
81.92 1
2.2%
152.0 1
2.2%
198.83 2
4.3%
288.22 1
2.2%
977.26 1
2.2%
ValueCountFrequency (%)
977.26 1
2.2%
288.22 1
2.2%
198.83 2
4.3%
152.0 1
2.2%
81.92 1
2.2%
70.0 1
2.2%
69.98 1
2.2%
35.86 1
2.2%
33.0 1
2.2%
22.21 1
2.2%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

놀이시설수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
44 
0
 
2

Length

Max length4
Median length4
Mean length3.8695652
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> 44
95.7%
0 2
 
4.3%

Length

2024-05-11T06:59:55.941852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:59:56.318337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
95.7%
0 2
 
4.3%

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

자본금
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)42.9%
Missing32
Missing (%)69.6%
Infinite0
Infinite (%)0.0%
Mean1.9285 × 108
Minimum59900000
Maximum5 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2024-05-11T06:59:56.625800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum59900000
5-th percentile85965000
Q11.5 × 108
median2 × 108
Q32 × 108
95-th percentile3.31 × 108
Maximum5 × 108
Range4.401 × 108
Interquartile range (IQR)50000000

Descriptive statistics

Standard deviation1.020981 × 108
Coefficient of variation (CV)0.52941718
Kurtosis6.7153796
Mean1.9285 × 108
Median Absolute Deviation (MAD)20000000
Skewness2.10607
Sum2.6999 × 109
Variance1.0424023 × 1016
MonotonicityNot monotonic
2024-05-11T06:59:57.065108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
200000000 7
 
15.2%
100000000 2
 
4.3%
150000000 2
 
4.3%
240000000 1
 
2.2%
500000000 1
 
2.2%
59900000 1
 
2.2%
(Missing) 32
69.6%
ValueCountFrequency (%)
59900000 1
 
2.2%
100000000 2
 
4.3%
150000000 2
 
4.3%
200000000 7
15.2%
240000000 1
 
2.2%
500000000 1
 
2.2%
ValueCountFrequency (%)
500000000 1
 
2.2%
240000000 1
 
2.2%
200000000 7
15.2%
150000000 2
 
4.3%
100000000 2
 
4.3%
59900000 1
 
2.2%

보험시작일자
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)92.9%
Missing32
Missing (%)69.6%
Infinite0
Infinite (%)0.0%
Mean20177869
Minimum20140321
Maximum20201207
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2024-05-11T06:59:57.385418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20140321
5-th percentile20146824
Q120153277
median20191026
Q320200582
95-th percentile20200963
Maximum20201207
Range60886
Interquartile range (IQR)47304.5

Descriptive statistics

Standard deviation23844.863
Coefficient of variation (CV)0.0011817335
Kurtosis-1.8347889
Mean20177869
Median Absolute Deviation (MAD)9993.5
Skewness-0.38011719
Sum2.8249016 × 108
Variance5.685775 × 108
MonotonicityNot monotonic
2024-05-11T06:59:57.650768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
20200831 2
 
4.3%
20140321 1
 
2.2%
20150325 1
 
2.2%
20150515 1
 
2.2%
20150901 1
 
2.2%
20160405 1
 
2.2%
20200701 1
 
2.2%
20160620 1
 
2.2%
20190831 1
 
2.2%
20191230 1
 
2.2%
Other values (3) 3
 
6.5%
(Missing) 32
69.6%
ValueCountFrequency (%)
20140321 1
2.2%
20150325 1
2.2%
20150515 1
2.2%
20150901 1
2.2%
20160405 1
2.2%
20160620 1
2.2%
20190831 1
2.2%
20191220 1
2.2%
20191230 1
2.2%
20200223 1
2.2%
ValueCountFrequency (%)
20201207 1
2.2%
20200831 2
4.3%
20200701 1
2.2%
20200223 1
2.2%
20191230 1
2.2%
20191220 1
2.2%
20190831 1
2.2%
20160620 1
2.2%
20160405 1
2.2%
20150901 1
2.2%

보험종료일자
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)92.9%
Missing32
Missing (%)69.6%
Infinite0
Infinite (%)0.0%
Mean20187858
Minimum20150320
Maximum20211206
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2024-05-11T06:59:57.928398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20150320
5-th percentile20156823
Q120163224
median20201025
Q320210528
95-th percentile20210962
Maximum20211206
Range60886
Interquartile range (IQR)47303.75

Descriptive statistics

Standard deviation23845.681
Coefficient of variation (CV)0.0011811892
Kurtosis-1.8351215
Mean20187858
Median Absolute Deviation (MAD)9993.5
Skewness-0.38034492
Sum2.8263001 × 108
Variance5.6861649 × 108
MonotonicityNot monotonic
2024-05-11T06:59:58.247802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
20210831 2
 
4.3%
20150320 1
 
2.2%
20160325 1
 
2.2%
20160515 1
 
2.2%
20160831 1
 
2.2%
20170404 1
 
2.2%
20210630 1
 
2.2%
20170620 1
 
2.2%
20200831 1
 
2.2%
20201229 1
 
2.2%
Other values (3) 3
 
6.5%
(Missing) 32
69.6%
ValueCountFrequency (%)
20150320 1
2.2%
20160325 1
2.2%
20160515 1
2.2%
20160831 1
2.2%
20170404 1
2.2%
20170620 1
2.2%
20200831 1
2.2%
20201219 1
2.2%
20201229 1
2.2%
20210222 1
2.2%
ValueCountFrequency (%)
20211206 1
2.2%
20210831 2
4.3%
20210630 1
2.2%
20210222 1
2.2%
20201229 1
2.2%
20201219 1
2.2%
20200831 1
2.2%
20170620 1
2.2%
20170404 1
2.2%
20160831 1
2.2%

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

시설규모
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)81.8%
Missing35
Missing (%)76.1%
Infinite0
Infinite (%)0.0%
Mean193.45455
Minimum22
Maximum977
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2024-05-11T06:59:58.619132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum22
5-th percentile27.5
Q153
median82
Q3199
95-th percentile632.5
Maximum977
Range955
Interquartile range (IQR)146

Descriptive statistics

Standard deviation273.4046
Coefficient of variation (CV)1.4132756
Kurtosis8.2939298
Mean193.45455
Median Absolute Deviation (MAD)60
Skewness2.7725558
Sum2128
Variance74750.073
MonotonicityNot monotonic
2024-05-11T06:59:59.003969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
70 2
 
4.3%
199 2
 
4.3%
977 1
 
2.2%
22 1
 
2.2%
82 1
 
2.2%
288 1
 
2.2%
36 1
 
2.2%
152 1
 
2.2%
33 1
 
2.2%
(Missing) 35
76.1%
ValueCountFrequency (%)
22 1
2.2%
33 1
2.2%
36 1
2.2%
70 2
4.3%
82 1
2.2%
152 1
2.2%
199 2
4.3%
288 1
2.2%
977 1
2.2%
ValueCountFrequency (%)
977 1
2.2%
288 1
2.2%
199 2
4.3%
152 1
2.2%
82 1
2.2%
70 2
4.3%
36 1
2.2%
33 1
2.2%
22 1
2.2%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
03060000CDFI226004201200000120121214<NA>3폐업3폐업20160630<NA><NA><NA><NA><NA>131861서울특별시 중랑구 상봉동 475-11 우리빌딩 지하1층서울특별시 중랑구 망우로 166-17 (상봉동, 우리빌딩 지하1층)2118DI TOUR(디 아이 투어)2020-12-08 17:55:18U2020-12-10 02:40:00.0<NA>206260.394582454407.566322종합여행업<NA>일반주거지역6<NA><NA><NA>의료시설51<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>977.26<NA><NA><NA><NA><NA><NA><NA><NA>240000000<NA><NA><NA>977
13060000CDFI226004201400000120140221<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>131818서울특별시 중랑구 면목동 555-39번지서울특별시 중랑구 면목로55길 56, 1층 (면목동)2217주식회사 티엔서울투어2014-03-27 14:48:06I2018-08-31 23:59:59.0<NA>207461.84898453583.115558종합여행업<NA><NA><NA><NA><NA>서울보증보험주식회사근린생활시설1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>70.0<NA><NA><NA><NA><NA><NA><NA><NA>2000000002014032120150320<NA>70
23060000CDFI226004201500000120150312<NA>3폐업3폐업20160930<NA><NA><NA><NA><NA>131757서울특별시 중랑구 묵동 170-1 묵동자이아파트 204호서울특별시 중랑구 동일로 932, 204호 (묵동, 묵동자이아파트)2033골드여행사2020-12-08 17:55:56U2020-12-10 02:40:00.0<NA>206777.731391456837.219625종합여행업<NA><NA><NA><NA><NA>한국관광협회중앙회<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2015032520160325<NA><NA>
33060000CDFI226004201500000320150512<NA>3폐업3폐업20151231<NA><NA><NA><NA><NA>131230서울특별시 중랑구 망우동 364-50번지 아름빌딩 313호서울특별시 중랑구 용마산로116길 6, 313호 (망우동, 아름빌딩)2176우신여행사2016-01-04 08:57:00I2018-08-31 23:59:59.0<NA>208842.713557455205.50434종합여행업<NA><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><NA>2015051520160515<NA><NA>
43060000CDFI22600420150000042015-08-03<NA>1영업/정상13영업중<NA><NA><NA><NA>070-7328-9088<NA><NA>서울특별시 중랑구 상봉동 486-1서울특별시 중랑구 봉화산로 121, 502호 (상봉동, 대화빌딩)2048동주여행사2023-03-07 15:45:04U2022-12-03 00:09:00.0<NA>207661.44834455671.574411<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53060000CDFI226004201500000520150821<NA>3폐업3폐업20170601<NA><NA><NA>15663035<NA><NA>서울특별시 중랑구 중화동 307-13번지서울특별시 중랑구 동일로 823 (중화동, 논밭빌딩)2014(주)대한민국기차여행2017-06-02 09:01:02I2018-08-31 23:59:59.0<NA>206879.91492455725.180875종합여행업<NA><NA><NA><NA><NA>서울보증보험<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2015090120160831<NA><NA>
63060000CDFI226004201600000120160129<NA>3폐업3폐업20191231<NA><NA><NA><NA><NA><NA>서울특별시 중랑구 중화동 208-4서울특별시 중랑구 중랑천로14길 58, 303호 (중화동, 범양프레체)2116주식회사 열한국제여행사2020-07-18 08:58:45U2020-07-21 02:40:00.0<NA>206631.89026454688.29758종합여행업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>22.21<NA><NA><NA><NA><NA><NA><NA><NA>200000000<NA><NA><NA>22
73060000CDFI226004201600000320160404<NA>1영업/정상13영업중<NA><NA><NA><NA>024326114<NA><NA>서울특별시 중랑구 면목동 127-50번지서울특별시 중랑구 겸재로35길 38 (면목동)2146주식회사 대박산업2019-10-25 14:27:54U2019-10-27 02:40:00.0<NA>207504.380051454168.902609종합여행업<NA><NA>1<NA><NA>한국여행업협회교육연구시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>81.92<NA><NA><NA><NA><NA><NA><NA><NA>2000000002016040520170404<NA>82
83060000CDFI226004201600000420160608<NA>1영업/정상13영업중<NA><NA><NA><NA>029600247<NA><NA>서울특별시 중랑구 상봉동 101-15번지서울특별시 중랑구 면목로 492, 7층 (상봉동, 주연빌딩)2148오리엔트투어2020-06-19 11:14:16U2020-06-21 02:40:00.0<NA>207525.305572454847.071739종합여행업<NA><NA><NA><NA><NA>서을보증보험(이행지급보험)<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2000000002020070120210630<NA><NA>
93060000CDFI226004201600000520141029<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 상봉동 128-9서울특별시 중랑구 동일로 711, 302호 (상봉동, 오피스텔 리움)2122히어코리아2020-07-02 16:18:10U2020-07-04 02:40:00.0<NA>206988.452084454636.535002종합여행업<NA><NA><NA><NA><NA>한국관광협회중앙회 여행공제회<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2000000002016062020170620<NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
363060000CDFI22600420230000082023-06-21<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 신내동 666 신아타운서울특별시 중랑구 봉화산로 194, 신아타운 3층 369호 (신내동)2076낭만투어2023-06-21 15:35:31I2022-12-05 22:03:00.0<NA>208295.099818456014.999181<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
373060000CDFI22600420230000091982-09-30<NA>1영업/정상13영업중<NA><NA><NA><NA>02-777-7891<NA><NA>서울특별시 중랑구 면목동 102-17서울특별시 중랑구 면목로74길 16, A동 3층 15호 (면목동)2161(주)대민항공여행사2024-02-26 14:00:28U2023-12-01 22:08:00.0<NA>207727.590672454084.635305<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
383060000CDFI22600420230000102023-08-04<NA>1영업/정상13영업중<NA><NA><NA><NA>02-493-5996<NA><NA>서울특별시 중랑구 신내동 821-2 신내 SK V1 center서울특별시 중랑구 신내역로 111, 신내 SK V1 center A동 616호 (신내동)2262ABC통번역2023-11-13 15:54:27U2022-10-31 23:05:00.0<NA>209856.116142456761.92113<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
393060000CDFI22600420230000112018-01-19<NA>1영업/정상13영업중<NA><NA><NA><NA>02-977-8610<NA><NA>서울특별시 중랑구 묵동 245-6서울특별시 중랑구 동일로 859, 가동 2층 E-27호 (묵동)2010해야골프2023-09-08 10:10:46U2022-12-08 23:00:00.0<NA>206821.108968456096.359567<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
403060000CDFI22600420230000122018-06-26<NA>1영업/정상13영업중<NA><NA><NA><NA>0507-1343-0824<NA><NA>서울특별시 중랑구 묵동 240-46 한아름빌딩서울특별시 중랑구 동일로157길 30, 한아름빌딩 2층 212호 (묵동)2007나나프렌즈2023-11-12 13:25:16U2022-10-31 23:04:00.0<NA>206638.988563456392.437192<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
413060000CDFI22600420230000132023-12-11<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6225-1661<NA><NA>서울특별시 중랑구 망우동 239-1 송곡고등학교서울특별시 중랑구 양원역로 50, 서울씨티교회 1층 (망우동)2062에스지안 글로벌 네트워크2024-03-14 18:00:43U2023-12-02 23:06:00.0<NA>209397.060978455913.724029<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
423060000CDFI22600420240000012024-02-13<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 면목동 131-12서울특별시 중랑구 겸재로27길 99, 1층 (면목동)2144돌체컴퍼니(DOLCE COMPANY)2024-03-12 09:31:14U2023-12-02 23:04:00.0<NA>207496.837048454381.377744<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
433060000CDFI22600420240000022024-02-19<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 묵동 245-6서울특별시 중랑구 동일로 859, 가동 2층 F41호 (묵동)2010원투투어(One Two Travel)2024-03-05 19:49:08U2023-12-03 00:07:00.0<NA>206821.108968456096.359567<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
443060000CDFI22600420240000032024-02-28<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 신내동 821-2 신내 SK V1 center서울특별시 중랑구 신내역로 111, 신내 SK V1 center 616호 (신내동)2262오갱코리아2024-03-07 11:22:11U2023-12-03 00:09:00.0<NA>209856.116142456761.92113<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
453060000CDFI22600420240000042024-03-26<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 면목동 96-61 럭스하우스서울특별시 중랑구 면목로78길 59, 501호 (면목동, 럭스하우스)2159블링모먼트2024-03-26 18:49:23I2023-12-02 22:08:00.0<NA>207915.523847454291.059305<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>