Overview

Dataset statistics

Number of variables60
Number of observations912
Missing cells25662
Missing cells (%)46.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory460.6 KiB
Average record size in memory517.1 B

Variable types

Categorical18
Text10
DateTime6
Numeric13
Unsupported13

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
Author강남구
URLhttps://data.seoul.go.kr/dataList/OA-17624/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
주변환경명 has constant value ""Constant
인허가취소일자 is highly imbalanced (82.0%)Imbalance
건물용도명 is highly imbalanced (91.4%)Imbalance
지하층수 is highly imbalanced (92.8%)Imbalance
객실수 is highly imbalanced (89.9%)Imbalance
건축연면적 is highly imbalanced (89.9%)Imbalance
영문상호주소 is highly imbalanced (91.7%)Imbalance
선박총톤수 is highly imbalanced (89.9%)Imbalance
선박척수 is highly imbalanced (89.9%)Imbalance
무대면적 is highly imbalanced (89.9%)Imbalance
좌석수 is highly imbalanced (89.9%)Imbalance
회의실별동시수용인원 is highly imbalanced (89.9%)Imbalance
놀이시설수 is highly imbalanced (89.9%)Imbalance
폐업일자 has 512 (56.1%) missing valuesMissing
휴업시작일자 has 909 (99.7%) missing valuesMissing
휴업종료일자 has 909 (99.7%) missing valuesMissing
재개업일자 has 912 (100.0%) missing valuesMissing
전화번호 has 242 (26.5%) missing valuesMissing
소재지면적 has 912 (100.0%) missing valuesMissing
소재지우편번호 has 750 (82.2%) missing valuesMissing
도로명우편번호 has 44 (4.8%) missing valuesMissing
업태구분명 has 912 (100.0%) missing valuesMissing
문화사업자구분명 has 912 (100.0%) missing valuesMissing
지역구분명 has 903 (99.0%) missing valuesMissing
총층수 has 893 (97.9%) missing valuesMissing
주변환경명 has 910 (99.8%) missing valuesMissing
제작취급품목내용 has 912 (100.0%) missing valuesMissing
보험기관명 has 592 (64.9%) missing valuesMissing
지상층수 has 892 (97.8%) missing valuesMissing
영문상호명 has 884 (96.9%) missing valuesMissing
선박제원 has 912 (100.0%) missing valuesMissing
기념품종류 has 912 (100.0%) missing valuesMissing
시설면적 has 884 (96.9%) missing valuesMissing
놀이기구수내역 has 912 (100.0%) missing valuesMissing
방송시설유무 has 912 (100.0%) missing valuesMissing
발전시설유무 has 912 (100.0%) missing valuesMissing
의무실유무 has 912 (100.0%) missing valuesMissing
안내소유무 has 912 (100.0%) missing valuesMissing
기획여행보험시작일자 has 898 (98.5%) missing valuesMissing
기획여행보험종료일자 has 898 (98.5%) missing valuesMissing
자본금 has 637 (69.8%) missing valuesMissing
보험시작일자 has 581 (63.7%) missing valuesMissing
보험종료일자 has 581 (63.7%) missing valuesMissing
부대시설내역 has 912 (100.0%) missing valuesMissing
시설규모 has 884 (96.9%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
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
부대시설내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총층수 has 12 (1.3%) zerosZeros
지상층수 has 12 (1.3%) zerosZeros
시설면적 has 12 (1.3%) zerosZeros
시설규모 has 12 (1.3%) zerosZeros

Reproduction

Analysis started2024-04-29 19:23:41.871996
Analysis finished2024-04-29 19:23:43.206102
Duration1.33 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
3220000
912 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3220000
2nd row3220000
3rd row3220000
4th row3220000
5th row3220000

Common Values

ValueCountFrequency (%)
3220000 912
100.0%

Length

2024-04-30T04:23:43.313166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:23:43.457774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3220000 912
100.0%

관리번호
Text

UNIQUE 

Distinct912
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
2024-04-30T04:23:43.622060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters18240
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

Unique912 ?
Unique (%)100.0%

Sample

1st rowCDFI2260041982000001
2nd rowCDFI2260041982000002
3rd rowCDFI2260041989000001
4th rowCDFI2260041991000001
5th rowCDFI2260041992000001
ValueCountFrequency (%)
cdfi2260041982000001 1
 
0.1%
cdfi2260042021000015 1
 
0.1%
cdfi2260042021000029 1
 
0.1%
cdfi2260042021000018 1
 
0.1%
cdfi2260042021000019 1
 
0.1%
cdfi2260042021000020 1
 
0.1%
cdfi2260042021000021 1
 
0.1%
cdfi2260042021000022 1
 
0.1%
cdfi2260042021000023 1
 
0.1%
cdfi2260042021000024 1
 
0.1%
Other values (902) 902
98.9%
2024-04-30T04:23:43.983814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6712
36.8%
2 3456
18.9%
4 1169
 
6.4%
6 1143
 
6.3%
C 912
 
5.0%
D 912
 
5.0%
F 912
 
5.0%
I 912
 
5.0%
1 864
 
4.7%
3 374
 
2.1%
Other values (4) 874
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 14592
80.0%
Uppercase Letter 3648
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6712
46.0%
2 3456
23.7%
4 1169
 
8.0%
6 1143
 
7.8%
1 864
 
5.9%
3 374
 
2.6%
5 244
 
1.7%
7 220
 
1.5%
9 216
 
1.5%
8 194
 
1.3%
Uppercase Letter
ValueCountFrequency (%)
C 912
25.0%
D 912
25.0%
F 912
25.0%
I 912
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 14592
80.0%
Latin 3648
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6712
46.0%
2 3456
23.7%
4 1169
 
8.0%
6 1143
 
7.8%
1 864
 
5.9%
3 374
 
2.6%
5 244
 
1.7%
7 220
 
1.5%
9 216
 
1.5%
8 194
 
1.3%
Latin
ValueCountFrequency (%)
C 912
25.0%
D 912
25.0%
F 912
25.0%
I 912
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18240
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6712
36.8%
2 3456
18.9%
4 1169
 
6.4%
6 1143
 
6.3%
C 912
 
5.0%
D 912
 
5.0%
F 912
 
5.0%
I 912
 
5.0%
1 864
 
4.7%
3 374
 
2.1%
Other values (4) 874
 
4.8%
Distinct804
Distinct (%)88.2%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
Minimum1980-09-19 00:00:00
Maximum2024-04-23 00:00:00
2024-04-30T04:23:44.152180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:23:44.314448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Categorical

IMBALANCE 

Distinct46
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
<NA>
818 
20130827
 
11
2023-08-03
 
8
20160401
 
7
20090528
 
5
Other values (41)
 
63

Length

Max length10
Median length4
Mean length4.4407895
Min length4

Unique

Unique28 ?
Unique (%)3.1%

Sample

1st row<NA>
2nd row<NA>
3rd row20160614
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 818
89.7%
20130827 11
 
1.2%
2023-08-03 8
 
0.9%
20160401 7
 
0.8%
20090528 5
 
0.5%
20220706 5
 
0.5%
20130701 5
 
0.5%
20160425 4
 
0.4%
20220624 3
 
0.3%
20170922 2
 
0.2%
Other values (36) 44
 
4.8%

Length

2024-04-30T04:23:44.508932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 818
89.7%
20130827 11
 
1.2%
2023-08-03 8
 
0.9%
20160401 7
 
0.8%
20090528 5
 
0.5%
20220706 5
 
0.5%
20130701 5
 
0.5%
20160425 4
 
0.4%
20220624 3
 
0.3%
20171110 2
 
0.2%
Other values (36) 44
 
4.8%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
1
413 
3
324 
4
102 
5
70 
2
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row5
3rd row4
4th row5
5th row3

Common Values

ValueCountFrequency (%)
1 413
45.3%
3 324
35.5%
4 102
 
11.2%
5 70
 
7.7%
2 3
 
0.3%

Length

2024-04-30T04:23:44.671160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:23:44.798866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 413
45.3%
3 324
35.5%
4 102
 
11.2%
5 70
 
7.7%
2 3
 
0.3%

영업상태명
Categorical

Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
영업/정상
413 
폐업
324 
취소/말소/만료/정지/중지
102 
제외/삭제/전출
70 
휴업
 
3

Length

Max length14
Median length8
Mean length5.1611842
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row폐업
2nd row제외/삭제/전출
3rd row취소/말소/만료/정지/중지
4th row제외/삭제/전출
5th row폐업

Common Values

ValueCountFrequency (%)
영업/정상 413
45.3%
폐업 324
35.5%
취소/말소/만료/정지/중지 102
 
11.2%
제외/삭제/전출 70
 
7.7%
휴업 3
 
0.3%

Length

2024-04-30T04:23:44.964204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:23:45.120717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 413
45.3%
폐업 324
35.5%
취소/말소/만료/정지/중지 102
 
11.2%
제외/삭제/전출 70
 
7.7%
휴업 3
 
0.3%

상세영업상태코드
Real number (ℝ)

Distinct6
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.604167
Minimum2
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-04-30T04:23:45.264556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q13
median13
Q313
95-th percentile31
Maximum35
Range33
Interquartile range (IQR)10

Descriptive statistics

Standard deviation8.4646942
Coefficient of variation (CV)0.729453
Kurtosis0.69118611
Mean11.604167
Median Absolute Deviation (MAD)2
Skewness1.0377805
Sum10583
Variance71.651047
MonotonicityNot monotonic
2024-04-30T04:23:45.428689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
13 413
45.3%
3 324
35.5%
31 96
 
10.5%
15 70
 
7.7%
35 6
 
0.7%
2 3
 
0.3%
ValueCountFrequency (%)
2 3
 
0.3%
3 324
35.5%
13 413
45.3%
15 70
 
7.7%
31 96
 
10.5%
35 6
 
0.7%
ValueCountFrequency (%)
35 6
 
0.7%
31 96
 
10.5%
15 70
 
7.7%
13 413
45.3%
3 324
35.5%
2 3
 
0.3%
Distinct6
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
영업중
413 
폐업
324 
등록취소
96 
전출
70 
직권말소
 
6

Length

Max length4
Median length3
Mean length2.6765351
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row폐업
2nd row전출
3rd row등록취소
4th row전출
5th row폐업

Common Values

ValueCountFrequency (%)
영업중 413
45.3%
폐업 324
35.5%
등록취소 96
 
10.5%
전출 70
 
7.7%
직권말소 6
 
0.7%
휴업 3
 
0.3%

Length

2024-04-30T04:23:45.625956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:23:45.789277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 413
45.3%
폐업 324
35.5%
등록취소 96
 
10.5%
전출 70
 
7.7%
직권말소 6
 
0.7%
휴업 3
 
0.3%

폐업일자
Date

MISSING 

Distinct347
Distinct (%)86.8%
Missing512
Missing (%)56.1%
Memory size7.3 KiB
Minimum2005-11-18 00:00:00
Maximum2024-04-23 00:00:00
2024-04-30T04:23:45.942352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:23:46.098784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct3
Distinct (%)100.0%
Missing909
Missing (%)99.7%
Memory size7.3 KiB
Minimum2022-06-16 00:00:00
Maximum2024-04-17 00:00:00
2024-04-30T04:23:46.244922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:23:46.370669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)

휴업종료일자
Date

MISSING 

Distinct3
Distinct (%)100.0%
Missing909
Missing (%)99.7%
Memory size7.3 KiB
Minimum2023-06-16 00:00:00
Maximum2025-03-31 00:00:00
2024-04-30T04:23:46.491621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:23:46.600204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing912
Missing (%)100.0%
Memory size8.1 KiB

전화번호
Text

MISSING 

Distinct657
Distinct (%)98.1%
Missing242
Missing (%)26.5%
Memory size7.3 KiB
2024-04-30T04:23:46.819844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length13
Mean length10.616418
Min length7

Characters and Unicode

Total characters7113
Distinct characters14
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique645 ?
Unique (%)96.3%

Sample

1st row539-9991
2nd row02-547-8855
3rd row514-6226
4th row572-9998
5th row557-2657
ValueCountFrequency (%)
02 23
 
3.2%
02-508-1146 3
 
0.4%
02-567-4693 2
 
0.3%
546-8858 2
 
0.3%
558 2
 
0.3%
02-6212-6677 2
 
0.3%
070-4617-5755 2
 
0.3%
02-555-9211 2
 
0.3%
02-562-6538 2
 
0.3%
02-518-6760 2
 
0.3%
Other values (665) 669
94.1%
2024-04-30T04:23:47.259567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1143
16.1%
- 980
13.8%
2 883
12.4%
5 768
10.8%
6 526
7.4%
8 515
7.2%
7 512
7.2%
1 499
7.0%
4 488
6.9%
3 427
 
6.0%
Other values (4) 372
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6062
85.2%
Dash Punctuation 980
 
13.8%
Space Separator 66
 
0.9%
Math Symbol 3
 
< 0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1143
18.9%
2 883
14.6%
5 768
12.7%
6 526
8.7%
8 515
8.5%
7 512
8.4%
1 499
8.2%
4 488
8.1%
3 427
 
7.0%
9 301
 
5.0%
Dash Punctuation
ValueCountFrequency (%)
- 980
100.0%
Space Separator
ValueCountFrequency (%)
66
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7113
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1143
16.1%
- 980
13.8%
2 883
12.4%
5 768
10.8%
6 526
7.4%
8 515
7.2%
7 512
7.2%
1 499
7.0%
4 488
6.9%
3 427
 
6.0%
Other values (4) 372
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7113
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1143
16.1%
- 980
13.8%
2 883
12.4%
5 768
10.8%
6 526
7.4%
8 515
7.2%
7 512
7.2%
1 499
7.0%
4 488
6.9%
3 427
 
6.0%
Other values (4) 372
 
5.2%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing912
Missing (%)100.0%
Memory size8.1 KiB

소재지우편번호
Text

MISSING 

Distinct96
Distinct (%)59.3%
Missing750
Missing (%)82.2%
Memory size7.3 KiB
2024-04-30T04:23:47.528226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0802469
Min length6

Characters and Unicode

Total characters985
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique55 ?
Unique (%)34.0%

Sample

1st row135717
2nd row135-728
3rd row135-728
4th row135907
5th row135881
ValueCountFrequency (%)
135913 6
 
3.7%
135816 5
 
3.1%
135545 5
 
3.1%
135818 4
 
2.5%
135830 4
 
2.5%
135891 4
 
2.5%
135100 3
 
1.9%
135880 3
 
1.9%
135822 3
 
1.9%
135120 3
 
1.9%
Other values (86) 122
75.3%
2024-04-30T04:23:47.989317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 228
23.1%
5 206
20.9%
3 199
20.2%
8 111
11.3%
9 74
 
7.5%
2 42
 
4.3%
0 33
 
3.4%
7 32
 
3.2%
6 24
 
2.4%
4 23
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 972
98.7%
Dash Punctuation 13
 
1.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 228
23.5%
5 206
21.2%
3 199
20.5%
8 111
11.4%
9 74
 
7.6%
2 42
 
4.3%
0 33
 
3.4%
7 32
 
3.3%
6 24
 
2.5%
4 23
 
2.4%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 985
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 228
23.1%
5 206
20.9%
3 199
20.2%
8 111
11.3%
9 74
 
7.5%
2 42
 
4.3%
0 33
 
3.4%
7 32
 
3.2%
6 24
 
2.4%
4 23
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 985
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 228
23.1%
5 206
20.9%
3 199
20.2%
8 111
11.3%
9 74
 
7.5%
2 42
 
4.3%
0 33
 
3.4%
7 32
 
3.2%
6 24
 
2.4%
4 23
 
2.3%
Distinct819
Distinct (%)89.8%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
2024-04-30T04:23:48.287661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length39
Mean length26.107456
Min length16

Characters and Unicode

Total characters23810
Distinct characters337
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique764 ?
Unique (%)83.8%

Sample

1st row서울특별시 강남구 역삼동 642-6번지 성지하이츠3차빌딩 1309호
2nd row서울특별시 강남구 신사동 600-8 우리빌딩 402호
3rd row서울특별시 강남구 신사동 501-2번지
4th row서울특별시 강남구 도곡동 411-14 유일빌딩 5층
5th row서울특별시 강남구 역삼동 753-3번지 지선빌딩 301호
ValueCountFrequency (%)
서울특별시 912
19.3%
강남구 911
19.3%
역삼동 278
 
5.9%
논현동 222
 
4.7%
삼성동 149
 
3.2%
신사동 85
 
1.8%
대치동 71
 
1.5%
청담동 46
 
1.0%
도곡동 33
 
0.7%
2층 32
 
0.7%
Other values (1325) 1988
42.1%
2024-04-30T04:23:48.929964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4049
 
17.0%
950
 
4.0%
1 943
 
4.0%
939
 
3.9%
934
 
3.9%
933
 
3.9%
923
 
3.9%
918
 
3.9%
917
 
3.9%
913
 
3.8%
Other values (327) 11391
47.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13999
58.8%
Decimal Number 4782
 
20.1%
Space Separator 4049
 
17.0%
Dash Punctuation 805
 
3.4%
Uppercase Letter 124
 
0.5%
Lowercase Letter 32
 
0.1%
Other Punctuation 6
 
< 0.1%
Close Punctuation 5
 
< 0.1%
Open Punctuation 5
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
950
 
6.8%
939
 
6.7%
934
 
6.7%
933
 
6.7%
923
 
6.6%
918
 
6.6%
917
 
6.6%
913
 
6.5%
912
 
6.5%
474
 
3.4%
Other values (275) 5186
37.0%
Uppercase Letter
ValueCountFrequency (%)
I 11
 
8.9%
B 10
 
8.1%
O 9
 
7.3%
T 9
 
7.3%
S 9
 
7.3%
E 9
 
7.3%
L 8
 
6.5%
A 8
 
6.5%
K 7
 
5.6%
G 7
 
5.6%
Other values (11) 37
29.8%
Lowercase Letter
ValueCountFrequency (%)
e 6
18.8%
r 4
12.5%
w 4
12.5%
o 4
12.5%
n 4
12.5%
a 3
9.4%
m 1
 
3.1%
g 1
 
3.1%
l 1
 
3.1%
c 1
 
3.1%
Other values (3) 3
9.4%
Decimal Number
ValueCountFrequency (%)
1 943
19.7%
2 680
14.2%
3 456
9.5%
4 443
9.3%
0 441
9.2%
5 415
8.7%
7 398
8.3%
6 376
 
7.9%
8 341
 
7.1%
9 289
 
6.0%
Other Punctuation
ValueCountFrequency (%)
, 4
66.7%
& 2
33.3%
Space Separator
ValueCountFrequency (%)
4049
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 805
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Letter Number
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13999
58.8%
Common 9654
40.5%
Latin 157
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
950
 
6.8%
939
 
6.7%
934
 
6.7%
933
 
6.7%
923
 
6.6%
918
 
6.6%
917
 
6.6%
913
 
6.5%
912
 
6.5%
474
 
3.4%
Other values (275) 5186
37.0%
Latin
ValueCountFrequency (%)
I 11
 
7.0%
B 10
 
6.4%
O 9
 
5.7%
T 9
 
5.7%
S 9
 
5.7%
E 9
 
5.7%
L 8
 
5.1%
A 8
 
5.1%
K 7
 
4.5%
G 7
 
4.5%
Other values (25) 70
44.6%
Common
ValueCountFrequency (%)
4049
41.9%
1 943
 
9.8%
- 805
 
8.3%
2 680
 
7.0%
3 456
 
4.7%
4 443
 
4.6%
0 441
 
4.6%
5 415
 
4.3%
7 398
 
4.1%
6 376
 
3.9%
Other values (7) 648
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13999
58.8%
ASCII 9810
41.2%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4049
41.3%
1 943
 
9.6%
- 805
 
8.2%
2 680
 
6.9%
3 456
 
4.6%
4 443
 
4.5%
0 441
 
4.5%
5 415
 
4.2%
7 398
 
4.1%
6 376
 
3.8%
Other values (41) 804
 
8.2%
Hangul
ValueCountFrequency (%)
950
 
6.8%
939
 
6.7%
934
 
6.7%
933
 
6.7%
923
 
6.6%
918
 
6.6%
917
 
6.6%
913
 
6.5%
912
 
6.5%
474
 
3.4%
Other values (275) 5186
37.0%
Number Forms
ValueCountFrequency (%)
1
100.0%
Distinct890
Distinct (%)97.7%
Missing1
Missing (%)0.1%
Memory size7.3 KiB
2024-04-30T04:23:49.369363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length47
Mean length35.705818
Min length23

Characters and Unicode

Total characters32528
Distinct characters367
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique871 ?
Unique (%)95.6%

Sample

1st row서울특별시 강남구 논현로 507, 1309호 (역삼동, 성지하이츠3차빌딩)
2nd row서울특별시 강남구 논현로164길 21, 402호 (신사동)
3rd row서울특별시 강남구 도산대로 107 (신사동, 대아빌딩)
4th row서울특별시 강남구 남부순환로 2728, 5층 (도곡동, 유일빌딩)
5th row서울특별시 강남구 역삼로9길 21 (역삼동)
ValueCountFrequency (%)
서울특별시 911
 
14.4%
강남구 910
 
14.4%
역삼동 270
 
4.3%
논현동 211
 
3.3%
삼성동 142
 
2.2%
2층 99
 
1.6%
테헤란로 89
 
1.4%
4층 83
 
1.3%
신사동 78
 
1.2%
3층 74
 
1.2%
Other values (1453) 3456
54.7%
2024-04-30T04:23:49.976281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5441
 
16.7%
1 1223
 
3.8%
, 1134
 
3.5%
1070
 
3.3%
1036
 
3.2%
1017
 
3.1%
935
 
2.9%
931
 
2.9%
930
 
2.9%
924
 
2.8%
Other values (357) 17887
55.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18241
56.1%
Decimal Number 5598
 
17.2%
Space Separator 5441
 
16.7%
Other Punctuation 1138
 
3.5%
Close Punctuation 916
 
2.8%
Open Punctuation 916
 
2.8%
Uppercase Letter 152
 
0.5%
Dash Punctuation 79
 
0.2%
Lowercase Letter 41
 
0.1%
Math Symbol 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1070
 
5.9%
1036
 
5.7%
1017
 
5.6%
935
 
5.1%
931
 
5.1%
930
 
5.1%
924
 
5.1%
916
 
5.0%
913
 
5.0%
911
 
5.0%
Other values (301) 8658
47.5%
Uppercase Letter
ValueCountFrequency (%)
B 21
13.8%
I 13
 
8.6%
A 13
 
8.6%
S 13
 
8.6%
E 10
 
6.6%
L 10
 
6.6%
O 10
 
6.6%
T 9
 
5.9%
G 8
 
5.3%
K 7
 
4.6%
Other values (12) 38
25.0%
Lowercase Letter
ValueCountFrequency (%)
o 6
14.6%
b 6
14.6%
e 6
14.6%
n 4
9.8%
w 4
9.8%
r 4
9.8%
a 3
7.3%
k 1
 
2.4%
c 1
 
2.4%
g 1
 
2.4%
Other values (5) 5
12.2%
Decimal Number
ValueCountFrequency (%)
1 1223
21.8%
2 826
14.8%
3 641
11.5%
0 595
10.6%
4 542
9.7%
5 489
 
8.7%
6 398
 
7.1%
8 337
 
6.0%
7 306
 
5.5%
9 241
 
4.3%
Other Punctuation
ValueCountFrequency (%)
, 1134
99.6%
& 2
 
0.2%
. 2
 
0.2%
Space Separator
ValueCountFrequency (%)
5441
100.0%
Close Punctuation
ValueCountFrequency (%)
) 916
100.0%
Open Punctuation
ValueCountFrequency (%)
( 916
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 79
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%
Letter Number
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18241
56.1%
Common 14093
43.3%
Latin 194
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1070
 
5.9%
1036
 
5.7%
1017
 
5.6%
935
 
5.1%
931
 
5.1%
930
 
5.1%
924
 
5.1%
916
 
5.0%
913
 
5.0%
911
 
5.0%
Other values (301) 8658
47.5%
Latin
ValueCountFrequency (%)
B 21
 
10.8%
I 13
 
6.7%
A 13
 
6.7%
S 13
 
6.7%
E 10
 
5.2%
L 10
 
5.2%
O 10
 
5.2%
T 9
 
4.6%
G 8
 
4.1%
K 7
 
3.6%
Other values (28) 80
41.2%
Common
ValueCountFrequency (%)
5441
38.6%
1 1223
 
8.7%
, 1134
 
8.0%
) 916
 
6.5%
( 916
 
6.5%
2 826
 
5.9%
3 641
 
4.5%
0 595
 
4.2%
4 542
 
3.8%
5 489
 
3.5%
Other values (8) 1370
 
9.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18240
56.1%
ASCII 14286
43.9%
Compat Jamo 1
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5441
38.1%
1 1223
 
8.6%
, 1134
 
7.9%
) 916
 
6.4%
( 916
 
6.4%
2 826
 
5.8%
3 641
 
4.5%
0 595
 
4.2%
4 542
 
3.8%
5 489
 
3.4%
Other values (45) 1563
 
10.9%
Hangul
ValueCountFrequency (%)
1070
 
5.9%
1036
 
5.7%
1017
 
5.6%
935
 
5.1%
931
 
5.1%
930
 
5.1%
924
 
5.1%
916
 
5.0%
913
 
5.0%
911
 
5.0%
Other values (300) 8657
47.5%
Compat Jamo
ValueCountFrequency (%)
1
100.0%
Number Forms
ValueCountFrequency (%)
1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct254
Distinct (%)29.3%
Missing44
Missing (%)4.8%
Infinite0
Infinite (%)0.0%
Mean11974.568
Minimum6011
Maximum135996
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-04-30T04:23:50.146736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6011
5-th percentile6026
Q16080
median6149
Q36224
95-th percentile6372.65
Maximum135996
Range129985
Interquartile range (IQR)144

Descriptive statistics

Standard deviation26879.77
Coefficient of variation (CV)2.2447382
Kurtosis17.409802
Mean11974.568
Median Absolute Deviation (MAD)72.5
Skewness4.4010503
Sum10393925
Variance7.2252205 × 108
MonotonicityNot monotonic
2024-04-30T04:23:50.342375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6132 22
 
2.4%
6164 19
 
2.1%
6121 18
 
2.0%
6159 16
 
1.8%
6151 15
 
1.6%
6232 13
 
1.4%
6253 12
 
1.3%
6233 11
 
1.2%
6035 10
 
1.1%
6097 10
 
1.1%
Other values (244) 722
79.2%
(Missing) 44
 
4.8%
ValueCountFrequency (%)
6011 1
 
0.1%
6012 2
 
0.2%
6013 2
 
0.2%
6014 3
0.3%
6016 3
0.3%
6017 3
0.3%
6018 3
0.3%
6019 6
0.7%
6020 1
 
0.1%
6022 1
 
0.1%
ValueCountFrequency (%)
135996 1
0.1%
135948 1
0.1%
135934 1
0.1%
135929 1
0.1%
135924 2
0.2%
135923 1
0.1%
135920 2
0.2%
135914 1
0.1%
135893 1
0.1%
135891 2
0.2%
Distinct907
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
2024-04-30T04:23:50.598995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length23
Mean length9.245614
Min length2

Characters and Unicode

Total characters8432
Distinct characters472
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

Unique902 ?
Unique (%)98.9%

Sample

1st row(주)미주여행사
2nd row드래곤관광(주)
3rd row(주)대아여행사
4th row주식회사 킴스엠앤티
5th row(주)흥인여행사
ValueCountFrequency (%)
주식회사 383
28.2%
유한회사 7
 
0.5%
투어 6
 
0.4%
co.,ltd 3
 
0.2%
코리아 3
 
0.2%
트래블 3
 
0.2%
주)온누리투어 2
 
0.1%
로원홀딩스 2
 
0.1%
주)제이와이투어 2
 
0.1%
2
 
0.1%
Other values (941) 943
69.5%
2024-04-30T04:23:51.040120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
789
 
9.4%
456
 
5.4%
445
 
5.3%
( 407
 
4.8%
) 407
 
4.8%
400
 
4.7%
393
 
4.7%
310
 
3.7%
250
 
3.0%
211
 
2.5%
Other values (462) 4364
51.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7039
83.5%
Space Separator 445
 
5.3%
Open Punctuation 407
 
4.8%
Close Punctuation 407
 
4.8%
Uppercase Letter 59
 
0.7%
Lowercase Letter 39
 
0.5%
Decimal Number 19
 
0.2%
Other Punctuation 15
 
0.2%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
789
 
11.2%
456
 
6.5%
400
 
5.7%
393
 
5.6%
310
 
4.4%
250
 
3.6%
211
 
3.0%
181
 
2.6%
151
 
2.1%
148
 
2.1%
Other values (414) 3750
53.3%
Uppercase Letter
ValueCountFrequency (%)
C 7
11.9%
T 7
11.9%
L 6
 
10.2%
O 4
 
6.8%
G 4
 
6.8%
D 4
 
6.8%
E 3
 
5.1%
M 3
 
5.1%
R 3
 
5.1%
B 2
 
3.4%
Other values (11) 16
27.1%
Lowercase Letter
ValueCountFrequency (%)
o 9
23.1%
e 5
12.8%
u 4
10.3%
r 4
10.3%
t 4
10.3%
d 3
 
7.7%
f 2
 
5.1%
k 2
 
5.1%
l 2
 
5.1%
a 1
 
2.6%
Other values (3) 3
 
7.7%
Decimal Number
ValueCountFrequency (%)
1 5
26.3%
8 4
21.1%
0 3
15.8%
7 2
 
10.5%
2 2
 
10.5%
9 1
 
5.3%
5 1
 
5.3%
3 1
 
5.3%
Other Punctuation
ValueCountFrequency (%)
. 11
73.3%
, 4
 
26.7%
Space Separator
ValueCountFrequency (%)
445
100.0%
Open Punctuation
ValueCountFrequency (%)
( 407
100.0%
Close Punctuation
ValueCountFrequency (%)
) 407
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7039
83.5%
Common 1295
 
15.4%
Latin 98
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
789
 
11.2%
456
 
6.5%
400
 
5.7%
393
 
5.6%
310
 
4.4%
250
 
3.6%
211
 
3.0%
181
 
2.6%
151
 
2.1%
148
 
2.1%
Other values (414) 3750
53.3%
Latin
ValueCountFrequency (%)
o 9
 
9.2%
C 7
 
7.1%
T 7
 
7.1%
L 6
 
6.1%
e 5
 
5.1%
u 4
 
4.1%
O 4
 
4.1%
G 4
 
4.1%
D 4
 
4.1%
r 4
 
4.1%
Other values (24) 44
44.9%
Common
ValueCountFrequency (%)
445
34.4%
( 407
31.4%
) 407
31.4%
. 11
 
0.8%
1 5
 
0.4%
8 4
 
0.3%
, 4
 
0.3%
0 3
 
0.2%
7 2
 
0.2%
2 2
 
0.2%
Other values (4) 5
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7039
83.5%
ASCII 1393
 
16.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
789
 
11.2%
456
 
6.5%
400
 
5.7%
393
 
5.6%
310
 
4.4%
250
 
3.6%
211
 
3.0%
181
 
2.6%
151
 
2.1%
148
 
2.1%
Other values (414) 3750
53.3%
ASCII
ValueCountFrequency (%)
445
31.9%
( 407
29.2%
) 407
29.2%
. 11
 
0.8%
o 9
 
0.6%
C 7
 
0.5%
T 7
 
0.5%
L 6
 
0.4%
1 5
 
0.4%
e 5
 
0.4%
Other values (38) 84
 
6.0%

최종수정일자
Date

UNIQUE 

Distinct912
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
Minimum2009-09-25 16:16:27
Maximum2024-04-24 10:47:18
2024-04-30T04:23:51.411299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:23:51.586901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
U
676 
I
236 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 676
74.1%
I 236
 
25.9%

Length

2024-04-30T04:23:51.765794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:23:51.889203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 676
74.1%
i 236
 
25.9%
Distinct385
Distinct (%)42.2%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:07:00
2024-04-30T04:23:52.027750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:23:52.201451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing912
Missing (%)100.0%
Memory size8.1 KiB

좌표정보(X)
Real number (ℝ)

Distinct646
Distinct (%)70.9%
Missing1
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean203596.3
Minimum189920.53
Maximum210005.06
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-04-30T04:23:52.381423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum189920.53
5-th percentile201956.56
Q1202666.47
median203319.02
Q3204398.18
95-th percentile205707.16
Maximum210005.06
Range20084.535
Interquartile range (IQR)1731.7111

Descriptive statistics

Standard deviation1369.1715
Coefficient of variation (CV)0.0067249331
Kurtosis13.273196
Mean203596.3
Median Absolute Deviation (MAD)798.05073
Skewness0.11938324
Sum1.8547623 × 108
Variance1874630.6
MonotonicityNot monotonic
2024-04-30T04:23:52.586565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
202425.73 13
 
1.4%
205130.591678902 12
 
1.3%
203081.161708641 9
 
1.0%
202422.404397085 7
 
0.8%
204615.364777705 7
 
0.8%
203931.098064589 7
 
0.8%
202725.962072631 7
 
0.8%
202520.972243984 7
 
0.8%
201994.544587721 5
 
0.5%
201956.561428209 5
 
0.5%
Other values (636) 832
91.2%
ValueCountFrequency (%)
189920.528610917 1
 
0.1%
201697.581570062 1
 
0.1%
201701.418320002 1
 
0.1%
201704.936963651 1
 
0.1%
201715.387381606 1
 
0.1%
201716.685551826 1
 
0.1%
201727.362286196 1
 
0.1%
201732.766038444 1
 
0.1%
201757.105695785 5
0.5%
201758.189261096 2
 
0.2%
ValueCountFrequency (%)
210005.063170617 1
 
0.1%
209144.783150288 2
0.2%
209112.095495667 1
 
0.1%
209088.967130828 1
 
0.1%
209055.480464368 1
 
0.1%
209052.072465426 3
0.3%
209044.652571876 1
 
0.1%
209038.198426983 1
 
0.1%
208992.499929602 1
 
0.1%
208937.760652081 2
0.2%

좌표정보(Y)
Real number (ℝ)

Distinct646
Distinct (%)70.9%
Missing1
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean445016.5
Minimum440521.86
Maximum447363.52
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-04-30T04:23:52.778048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum440521.86
5-th percentile442920.13
Q1444358.31
median445010.64
Q3445899.1
95-th percentile446799.41
Maximum447363.52
Range6841.664
Interquartile range (IQR)1540.79

Descriptive statistics

Standard deviation1196.332
Coefficient of variation (CV)0.0026882869
Kurtosis0.39131782
Mean445016.5
Median Absolute Deviation (MAD)824.44615
Skewness-0.5673195
Sum4.0541003 × 108
Variance1431210.3
MonotonicityNot monotonic
2024-04-30T04:23:52.968613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
444852.88 13
 
1.4%
445590.096837802 12
 
1.3%
444381.101104143 9
 
1.0%
444877.223579374 7
 
0.8%
444884.394551474 7
 
0.8%
444622.849264371 7
 
0.8%
443203.561575728 7
 
0.8%
443946.832938881 7
 
0.8%
446082.798130736 5
 
0.5%
445325.198366946 5
 
0.5%
Other values (636) 832
91.2%
ValueCountFrequency (%)
440521.85524888 1
0.1%
441163.795720684 1
0.1%
441204.99665215 1
0.1%
441214.041021633 1
0.1%
441271.578531333 1
0.1%
441271.783645603 1
0.1%
441272.313972925 1
0.1%
441319.173130387 1
0.1%
441347.237129733 1
0.1%
441421.210548892 1
0.1%
ValueCountFrequency (%)
447363.519208839 1
0.1%
447239.250144505 1
0.1%
447237.128145742 1
0.1%
447196.182046397 2
0.2%
447194.440832958 1
0.1%
447172.848357852 1
0.1%
447107.23421828 1
0.1%
447084.561190709 1
0.1%
447075.512360873 1
0.1%
447066.772854997 1
0.1%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
<NA>
553 
종합여행업
359 

Length

Max length5
Median length4
Mean length4.3936404
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 553
60.6%
종합여행업 359
39.4%

Length

2024-04-30T04:23:53.151568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:23:53.281992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 553
60.6%
종합여행업 359
39.4%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing912
Missing (%)100.0%
Memory size8.1 KiB

지역구분명
Text

MISSING 

Distinct7
Distinct (%)77.8%
Missing903
Missing (%)99.0%
Memory size7.3 KiB
2024-04-30T04:23:53.422583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length5.3333333
Min length4

Characters and Unicode

Total characters48
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

Unique5 ?
Unique (%)55.6%

Sample

1st row전용공업지역
2nd row일반주거지역
3rd row준주거지역
4th row주거지역
5th row상업지역
ValueCountFrequency (%)
일반주거지역 2
22.2%
일반상업지역 2
22.2%
전용공업지역 1
11.1%
준주거지역 1
11.1%
주거지역 1
11.1%
상업지역 1
11.1%
준공업지역 1
11.1%
2024-04-30T04:23:53.766435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9
18.8%
9
18.8%
5
10.4%
4
8.3%
4
8.3%
4
8.3%
4
8.3%
3
 
6.2%
2
 
4.2%
2
 
4.2%
Other values (2) 2
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 48
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
9
18.8%
9
18.8%
5
10.4%
4
8.3%
4
8.3%
4
8.3%
4
8.3%
3
 
6.2%
2
 
4.2%
2
 
4.2%
Other values (2) 2
 
4.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 48
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
9
18.8%
9
18.8%
5
10.4%
4
8.3%
4
8.3%
4
8.3%
4
8.3%
3
 
6.2%
2
 
4.2%
2
 
4.2%
Other values (2) 2
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 48
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
9
18.8%
9
18.8%
5
10.4%
4
8.3%
4
8.3%
4
8.3%
4
8.3%
3
 
6.2%
2
 
4.2%
2
 
4.2%
Other values (2) 2
 
4.2%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)36.8%
Missing893
Missing (%)97.9%
Infinite0
Infinite (%)0.0%
Mean4.5263158
Minimum0
Maximum34
Zeros12
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-04-30T04:23:53.898651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q36
95-th percentile21.4
Maximum34
Range34
Interquartile range (IQR)6

Descriptive statistics

Standard deviation8.8591975
Coefficient of variation (CV)1.9572646
Kurtosis6.7437928
Mean4.5263158
Median Absolute Deviation (MAD)0
Skewness2.5425883
Sum86
Variance78.48538
MonotonicityNot monotonic
2024-04-30T04:23:54.062774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 12
 
1.3%
6 2
 
0.2%
34 1
 
0.1%
11 1
 
0.1%
20 1
 
0.1%
2 1
 
0.1%
7 1
 
0.1%
(Missing) 893
97.9%
ValueCountFrequency (%)
0 12
1.3%
2 1
 
0.1%
6 2
 
0.2%
7 1
 
0.1%
11 1
 
0.1%
20 1
 
0.1%
34 1
 
0.1%
ValueCountFrequency (%)
34 1
 
0.1%
20 1
 
0.1%
11 1
 
0.1%
7 1
 
0.1%
6 2
 
0.2%
2 1
 
0.1%
0 12
1.3%

주변환경명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)50.0%
Missing910
Missing (%)99.8%
Memory size7.3 KiB
2024-04-30T04:23:54.200102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters10
Distinct characters4
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row주택가주변
2nd row주택가주변
ValueCountFrequency (%)
주택가주변 2
100.0%
2024-04-30T04:23:54.484972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4
40.0%
2
20.0%
2
20.0%
2
20.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
4
40.0%
2
20.0%
2
20.0%
2
20.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
4
40.0%
2
20.0%
2
20.0%
2
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
4
40.0%
2
20.0%
2
20.0%
2
20.0%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing912
Missing (%)100.0%
Memory size8.1 KiB

보험기관명
Text

MISSING 

Distinct58
Distinct (%)18.1%
Missing592
Missing (%)64.9%
Memory size7.3 KiB
2024-04-30T04:23:54.697303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length18
Mean length9.703125
Min length5

Characters and Unicode

Total characters3105
Distinct characters39
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique35 ?
Unique (%)10.9%

Sample

1st row여행공제회
2nd row서울보증보험
3rd row여행공제회
4th row서울보증보험
5th row서울보증보험
ValueCountFrequency (%)
서울보증보험 90
26.0%
여행공제회 51
14.7%
서울보증보험(5천만원 41
11.8%
서울보증보험(5천 26
 
7.5%
서울보증보험(5천만 17
 
4.9%
한국관광협회중앙회 14
 
4.0%
여행공제회(5천만원 13
 
3.8%
서울보증보험(오천만원 9
 
2.6%
여행공제회(5천 7
 
2.0%
서울보증보험(50,000,000원 6
 
1.7%
Other values (45) 72
20.8%
2024-04-30T04:23:55.112792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
450
14.5%
225
 
7.2%
225
 
7.2%
221
 
7.1%
221
 
7.1%
( 176
 
5.7%
) 176
 
5.7%
159
 
5.1%
5 153
 
4.9%
133
 
4.3%
Other values (29) 966
31.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2435
78.4%
Decimal Number 266
 
8.6%
Open Punctuation 176
 
5.7%
Close Punctuation 176
 
5.7%
Space Separator 26
 
0.8%
Other Punctuation 25
 
0.8%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
450
18.5%
225
9.2%
225
9.2%
221
9.1%
221
9.1%
159
 
6.5%
133
 
5.5%
117
 
4.8%
102
 
4.2%
88
 
3.6%
Other values (18) 494
20.3%
Decimal Number
ValueCountFrequency (%)
5 153
57.5%
0 90
33.8%
6 13
 
4.9%
1 5
 
1.9%
8 3
 
1.1%
2 2
 
0.8%
Open Punctuation
ValueCountFrequency (%)
( 176
100.0%
Close Punctuation
ValueCountFrequency (%)
) 176
100.0%
Space Separator
ValueCountFrequency (%)
26
100.0%
Other Punctuation
ValueCountFrequency (%)
, 25
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2435
78.4%
Common 670
 
21.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
450
18.5%
225
9.2%
225
9.2%
221
9.1%
221
9.1%
159
 
6.5%
133
 
5.5%
117
 
4.8%
102
 
4.2%
88
 
3.6%
Other values (18) 494
20.3%
Common
ValueCountFrequency (%)
( 176
26.3%
) 176
26.3%
5 153
22.8%
0 90
13.4%
26
 
3.9%
, 25
 
3.7%
6 13
 
1.9%
1 5
 
0.7%
8 3
 
0.4%
2 2
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2435
78.4%
ASCII 670
 
21.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
450
18.5%
225
9.2%
225
9.2%
221
9.1%
221
9.1%
159
 
6.5%
133
 
5.5%
117
 
4.8%
102
 
4.2%
88
 
3.6%
Other values (18) 494
20.3%
ASCII
ValueCountFrequency (%)
( 176
26.3%
) 176
26.3%
5 153
22.8%
0 90
13.4%
26
 
3.9%
, 25
 
3.7%
6 13
 
1.9%
1 5
 
0.7%
8 3
 
0.4%
2 2
 
0.3%

건물용도명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
<NA>
897 
사무실
 
9
근린생활시설
 
6

Length

Max length6
Median length4
Mean length4.0032895
Min length3

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> 897
98.4%
사무실 9
 
1.0%
근린생활시설 6
 
0.7%

Length

2024-04-30T04:23:55.289391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:23:55.439369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 897
98.4%
사무실 9
 
1.0%
근린생활시설 6
 
0.7%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)40.0%
Missing892
Missing (%)97.8%
Infinite0
Infinite (%)0.0%
Mean4.2
Minimum0
Maximum33
Zeros12
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-04-30T04:23:55.567618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q35.25
95-th percentile16.85
Maximum33
Range33
Interquartile range (IQR)5.25

Descriptive statistics

Standard deviation8.0367577
Coefficient of variation (CV)1.9135137
Kurtosis8.7875574
Mean4.2
Median Absolute Deviation (MAD)0
Skewness2.79431
Sum84
Variance64.589474
MonotonicityNot monotonic
2024-04-30T04:23:55.712557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 12
 
1.3%
5 2
 
0.2%
33 1
 
0.1%
8 1
 
0.1%
16 1
 
0.1%
9 1
 
0.1%
2 1
 
0.1%
6 1
 
0.1%
(Missing) 892
97.8%
ValueCountFrequency (%)
0 12
1.3%
2 1
 
0.1%
5 2
 
0.2%
6 1
 
0.1%
8 1
 
0.1%
9 1
 
0.1%
16 1
 
0.1%
33 1
 
0.1%
ValueCountFrequency (%)
33 1
 
0.1%
16 1
 
0.1%
9 1
 
0.1%
8 1
 
0.1%
6 1
 
0.1%
5 2
 
0.2%
2 1
 
0.1%
0 12
1.3%

지하층수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
<NA>
894 
0
 
12
1
 
4
3
 
1
4
 
1

Length

Max length4
Median length4
Mean length3.9407895
Min length1

Unique

Unique2 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 894
98.0%
0 12
 
1.3%
1 4
 
0.4%
3 1
 
0.1%
4 1
 
0.1%

Length

2024-04-30T04:23:55.885232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:23:56.020473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 894
98.0%
0 12
 
1.3%
1 4
 
0.4%
3 1
 
0.1%
4 1
 
0.1%

객실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
<NA>
900 
0
 
12

Length

Max length4
Median length4
Mean length3.9605263
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> 900
98.7%
0 12
 
1.3%

Length

2024-04-30T04:23:56.170558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:23:56.298343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 900
98.7%
0 12
 
1.3%

건축연면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
<NA>
900 
0
 
12

Length

Max length4
Median length4
Mean length3.9605263
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> 900
98.7%
0 12
 
1.3%

Length

2024-04-30T04:23:56.458420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:23:56.604012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 900
98.7%
0 12
 
1.3%

영문상호명
Text

MISSING 

Distinct27
Distinct (%)96.4%
Missing884
Missing (%)96.9%
Memory size7.3 KiB
2024-04-30T04:23:56.779462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length22.5
Mean length18.857143
Min length9

Characters and Unicode

Total characters528
Distinct characters48
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

Unique26 ?
Unique (%)92.9%

Sample

1st rowNextour Co., Ltd.
2nd rowJY Tour Co.Ltd.
3rd rowKT TRAVEL CO., Ltd.
4th rowCulturetainment Co.,Ltd
5th rowWORLD VIEW
ValueCountFrequency (%)
co 12
 
13.3%
ltd 12
 
13.3%
tour 7
 
7.8%
co.,ltd 5
 
5.6%
the 2
 
2.2%
jy 2
 
2.2%
travel 2
 
2.2%
co.ltd 2
 
2.2%
ay 1
 
1.1%
blank 1
 
1.1%
Other values (44) 44
48.9%
2024-04-30T04:23:57.174394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
63
 
11.9%
o 39
 
7.4%
. 38
 
7.2%
t 31
 
5.9%
L 30
 
5.7%
C 25
 
4.7%
T 22
 
4.2%
d 20
 
3.8%
n 18
 
3.4%
, 18
 
3.4%
Other values (38) 224
42.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 213
40.3%
Uppercase Letter 196
37.1%
Space Separator 63
 
11.9%
Other Punctuation 56
 
10.6%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
L 30
15.3%
C 25
12.8%
T 22
11.2%
E 15
 
7.7%
A 13
 
6.6%
I 12
 
6.1%
O 11
 
5.6%
R 9
 
4.6%
S 8
 
4.1%
N 8
 
4.1%
Other values (13) 43
21.9%
Lowercase Letter
ValueCountFrequency (%)
o 39
18.3%
t 31
14.6%
d 20
9.4%
n 18
8.5%
r 17
8.0%
e 16
7.5%
a 13
 
6.1%
u 12
 
5.6%
i 11
 
5.2%
l 11
 
5.2%
Other values (12) 25
11.7%
Other Punctuation
ValueCountFrequency (%)
. 38
67.9%
, 18
32.1%
Space Separator
ValueCountFrequency (%)
63
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 409
77.5%
Common 119
 
22.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 39
 
9.5%
t 31
 
7.6%
L 30
 
7.3%
C 25
 
6.1%
T 22
 
5.4%
d 20
 
4.9%
n 18
 
4.4%
r 17
 
4.2%
e 16
 
3.9%
E 15
 
3.7%
Other values (35) 176
43.0%
Common
ValueCountFrequency (%)
63
52.9%
. 38
31.9%
, 18
 
15.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 528
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
63
 
11.9%
o 39
 
7.4%
. 38
 
7.2%
t 31
 
5.9%
L 30
 
5.7%
C 25
 
4.7%
T 22
 
4.2%
d 20
 
3.8%
n 18
 
3.4%
, 18
 
3.4%
Other values (38) 224
42.4%

영문상호주소
Categorical

IMBALANCE 

Distinct9
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
<NA>
885 
GENERAL TRAVEL BUSINESS
 
12
General travel business
 
5
General Travel Business
 
3
General Travel Agency
 
2
Other values (4)
 
5

Length

Max length24
Median length4
Mean length4.5471491
Min length4

Unique

Unique3 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 885
97.0%
GENERAL TRAVEL BUSINESS 12
 
1.3%
General travel business 5
 
0.5%
General Travel Business 3
 
0.3%
General Travel Agency 2
 
0.2%
General Travel Business 2
 
0.2%
GENERAL TRAVEL BUSINE 1
 
0.1%
GEVERAL TRAVEL BUSINESS 1
 
0.1%
Travel Agency 1
 
0.1%

Length

2024-04-30T04:23:57.367160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:23:57.540663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 885
91.7%
travel 27
 
2.8%
general 25
 
2.6%
business 23
 
2.4%
agency 3
 
0.3%
busine 1
 
0.1%
geveral 1
 
0.1%

선박총톤수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
<NA>
900 
0
 
12

Length

Max length4
Median length4
Mean length3.9605263
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> 900
98.7%
0 12
 
1.3%

Length

2024-04-30T04:23:57.736394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:23:57.868723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 900
98.7%
0 12
 
1.3%

선박척수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
<NA>
900 
0
 
12

Length

Max length4
Median length4
Mean length3.9605263
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> 900
98.7%
0 12
 
1.3%

Length

2024-04-30T04:23:58.006889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:23:58.132051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 900
98.7%
0 12
 
1.3%

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing912
Missing (%)100.0%
Memory size8.1 KiB

무대면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
<NA>
900 
0
 
12

Length

Max length4
Median length4
Mean length3.9605263
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> 900
98.7%
0 12
 
1.3%

Length

2024-04-30T04:23:58.261832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:23:58.397128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 900
98.7%
0 12
 
1.3%

좌석수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
<NA>
900 
0
 
12

Length

Max length4
Median length4
Mean length3.9605263
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> 900
98.7%
0 12
 
1.3%

Length

2024-04-30T04:23:58.534702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:23:58.669332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 900
98.7%
0 12
 
1.3%

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing912
Missing (%)100.0%
Memory size8.1 KiB

회의실별동시수용인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
<NA>
900 
0
 
12

Length

Max length4
Median length4
Mean length3.9605263
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> 900
98.7%
0 12
 
1.3%

Length

2024-04-30T04:23:58.820405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:23:58.955930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 900
98.7%
0 12
 
1.3%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct16
Distinct (%)57.1%
Missing884
Missing (%)96.9%
Infinite0
Infinite (%)0.0%
Mean39.915714
Minimum0
Maximum219.76
Zeros12
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-04-30T04:23:59.078086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3.855
Q340.6875
95-th percentile199.31
Maximum219.76
Range219.76
Interquartile range (IQR)40.6875

Descriptive statistics

Standard deviation65.340296
Coefficient of variation (CV)1.6369567
Kurtosis2.5645455
Mean39.915714
Median Absolute Deviation (MAD)3.855
Skewness1.8673954
Sum1117.64
Variance4269.3542
MonotonicityNot monotonic
2024-04-30T04:23:59.231451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0.0 12
 
1.3%
97.23 2
 
0.2%
24.07 1
 
0.1%
212.4 1
 
0.1%
29.59 1
 
0.1%
100.08 1
 
0.1%
17.6 1
 
0.1%
38.89 1
 
0.1%
16.0 1
 
0.1%
35.0 1
 
0.1%
Other values (6) 6
 
0.7%
(Missing) 884
96.9%
ValueCountFrequency (%)
0.0 12
1.3%
1.0 1
 
0.1%
1.1 1
 
0.1%
6.61 1
 
0.1%
16.0 1
 
0.1%
17.6 1
 
0.1%
24.07 1
 
0.1%
29.59 1
 
0.1%
35.0 1
 
0.1%
38.89 1
 
0.1%
ValueCountFrequency (%)
219.76 1
0.1%
212.4 1
0.1%
175.0 1
0.1%
100.08 1
0.1%
97.23 2
0.2%
46.08 1
0.1%
38.89 1
0.1%
35.0 1
0.1%
29.59 1
0.1%
24.07 1
0.1%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing912
Missing (%)100.0%
Memory size8.1 KiB

놀이시설수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
<NA>
900 
0
 
12

Length

Max length4
Median length4
Mean length3.9605263
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> 900
98.7%
0 12
 
1.3%

Length

2024-04-30T04:23:59.392451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:23:59.820323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 900
98.7%
0 12
 
1.3%

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing912
Missing (%)100.0%
Memory size8.1 KiB

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing912
Missing (%)100.0%
Memory size8.1 KiB

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing912
Missing (%)100.0%
Memory size8.1 KiB

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing912
Missing (%)100.0%
Memory size8.1 KiB

기획여행보험시작일자
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)100.0%
Missing898
Missing (%)98.5%
Infinite0
Infinite (%)0.0%
Mean20167886
Minimum20111113
Maximum20191210
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-04-30T04:23:59.944916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20111113
5-th percentile20130345
Q120150399
median20180516
Q320187911
95-th percentile20190886
Maximum20191210
Range80097
Interquartile range (IQR)37512.25

Descriptive statistics

Standard deviation24826.158
Coefficient of variation (CV)0.0012309747
Kurtosis0.28485186
Mean20167886
Median Absolute Deviation (MAD)10198
Skewness-1.0347572
Sum2.8235041 × 108
Variance6.1633812 × 108
MonotonicityNot monotonic
2024-04-30T04:24:00.135588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
20111113 1
 
0.1%
20150124 1
 
0.1%
20140701 1
 
0.1%
20191210 1
 
0.1%
20190522 1
 
0.1%
20181029 1
 
0.1%
20141212 1
 
0.1%
20170316 1
 
0.1%
20151223 1
 
0.1%
20180621 1
 
0.1%
Other values (4) 4
 
0.4%
(Missing) 898
98.5%
ValueCountFrequency (%)
20111113 1
0.1%
20140701 1
0.1%
20141212 1
0.1%
20150124 1
0.1%
20151223 1
0.1%
20170316 1
0.1%
20180412 1
0.1%
20180621 1
0.1%
20181011 1
0.1%
20181029 1
0.1%
ValueCountFrequency (%)
20191210 1
0.1%
20190712 1
0.1%
20190522 1
0.1%
20190205 1
0.1%
20181029 1
0.1%
20181011 1
0.1%
20180621 1
0.1%
20180412 1
0.1%
20170316 1
0.1%
20151223 1
0.1%

기획여행보험종료일자
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)100.0%
Missing898
Missing (%)98.5%
Infinite0
Infinite (%)0.0%
Mean20177867
Minimum20121112
Maximum20201025
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-04-30T04:24:00.310358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20121112
5-th percentile20140299
Q120160398
median20190516
Q320197910
95-th percentile20200821
Maximum20201025
Range79913
Interquartile range (IQR)37512.25

Descriptive statistics

Standard deviation24818.809
Coefficient of variation (CV)0.0012300016
Kurtosis0.28445063
Mean20177867
Median Absolute Deviation (MAD)10198
Skewness-1.0357805
Sum2.8249014 × 108
Variance6.1597328 × 108
MonotonicityNot monotonic
2024-04-30T04:24:00.495543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
20121112 1
 
0.1%
20160123 1
 
0.1%
20150630 1
 
0.1%
20201025 1
 
0.1%
20200521 1
 
0.1%
20191028 1
 
0.1%
20151211 1
 
0.1%
20180315 1
 
0.1%
20161222 1
 
0.1%
20190620 1
 
0.1%
Other values (4) 4
 
0.4%
(Missing) 898
98.5%
ValueCountFrequency (%)
20121112 1
0.1%
20150630 1
0.1%
20151211 1
0.1%
20160123 1
0.1%
20161222 1
0.1%
20180315 1
0.1%
20190411 1
0.1%
20190620 1
0.1%
20191010 1
0.1%
20191028 1
0.1%
ValueCountFrequency (%)
20201025 1
0.1%
20200711 1
0.1%
20200521 1
0.1%
20200204 1
0.1%
20191028 1
0.1%
20191010 1
0.1%
20190620 1
0.1%
20190411 1
0.1%
20180315 1
0.1%
20161222 1
0.1%

자본금
Real number (ℝ)

MISSING 

Distinct86
Distinct (%)31.3%
Missing637
Missing (%)69.8%
Infinite0
Infinite (%)0.0%
Mean4.847134 × 108
Minimum0
Maximum1.947032 × 1010
Zeros4
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-04-30T04:24:00.687819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1 × 108
Q12 × 108
median2 × 108
Q33 × 108
95-th percentile8.9637588 × 108
Maximum1.947032 × 1010
Range1.947032 × 1010
Interquartile range (IQR)1 × 108

Descriptive statistics

Standard deviation1.8266654 × 109
Coefficient of variation (CV)3.7685473
Kurtosis82.30434
Mean4.847134 × 108
Median Absolute Deviation (MAD)50000000
Skewness8.8736818
Sum1.3329619 × 1011
Variance3.3367065 × 1018
MonotonicityNot monotonic
2024-04-30T04:24:00.886413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
200000000 108
 
11.8%
100000000 36
 
3.9%
300000000 17
 
1.9%
350000000 16
 
1.8%
500000000 4
 
0.4%
0 4
 
0.4%
110000000 3
 
0.3%
250000000 3
 
0.3%
20000000 3
 
0.3%
150000000 2
 
0.2%
Other values (76) 79
 
8.7%
(Missing) 637
69.8%
ValueCountFrequency (%)
0 4
 
0.4%
20000000 3
 
0.3%
100000000 36
3.9%
101000000 1
 
0.1%
104644000 1
 
0.1%
110000000 3
 
0.3%
113904692 1
 
0.1%
121000000 1
 
0.1%
122057435 1
 
0.1%
125443775 1
 
0.1%
ValueCountFrequency (%)
19470319954 1
0.1%
17749142954 1
0.1%
14202685402 1
0.1%
4454109388 1
0.1%
4019450706 1
0.1%
3500000000 1
0.1%
2601337155 1
0.1%
1573434362 1
0.1%
1409571454 1
0.1%
1400641182 1
0.1%

보험시작일자
Real number (ℝ)

MISSING 

Distinct312
Distinct (%)94.3%
Missing581
Missing (%)63.7%
Infinite0
Infinite (%)0.0%
Mean20155508
Minimum20050406
Maximum20220314
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-04-30T04:24:01.110681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20050406
5-th percentile20090320
Q120130662
median20161206
Q320181011
95-th percentile20200560
Maximum20220314
Range169908
Interquartile range (IQR)50349.5

Descriptive statistics

Standard deviation36035.606
Coefficient of variation (CV)0.0017878789
Kurtosis-0.012442365
Mean20155508
Median Absolute Deviation (MAD)20879
Skewness-0.78966164
Sum6.6714731 × 109
Variance1.2985649 × 109
MonotonicityNot monotonic
2024-04-30T04:24:01.309487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20181011 3
 
0.3%
20140701 3
 
0.3%
20121001 2
 
0.2%
20210424 2
 
0.2%
20200310 2
 
0.2%
20191023 2
 
0.2%
20170905 2
 
0.2%
20180412 2
 
0.2%
20171230 2
 
0.2%
20180517 2
 
0.2%
Other values (302) 309
33.9%
(Missing) 581
63.7%
ValueCountFrequency (%)
20050406 1
0.1%
20050906 1
0.1%
20050928 1
0.1%
20051227 1
0.1%
20060123 1
0.1%
20070226 1
0.1%
20070403 1
0.1%
20070502 1
0.1%
20070522 1
0.1%
20070927 1
0.1%
ValueCountFrequency (%)
20220314 1
0.1%
20211221 1
0.1%
20210515 1
0.1%
20210424 2
0.2%
20210412 1
0.1%
20210210 1
0.1%
20210115 1
0.1%
20201113 1
0.1%
20201101 1
0.1%
20201001 1
0.1%

보험종료일자
Real number (ℝ)

MISSING 

Distinct312
Distinct (%)94.3%
Missing581
Missing (%)63.7%
Infinite0
Infinite (%)0.0%
Mean20165818
Minimum20060405
Maximum20230314
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-04-30T04:24:01.519768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20060405
5-th percentile20100320
Q120140661
median20171206
Q320191118
95-th percentile20210618
Maximum20230314
Range169909
Interquartile range (IQR)50457.5

Descriptive statistics

Standard deviation36120.027
Coefficient of variation (CV)0.0017911511
Kurtosis-0.047650533
Mean20165818
Median Absolute Deviation (MAD)21100
Skewness-0.77915293
Sum6.6748858 × 109
Variance1.3046563 × 109
MonotonicityNot monotonic
2024-04-30T04:24:01.710819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20150630 4
 
0.4%
20191010 3
 
0.3%
20160114 3
 
0.3%
20190411 2
 
0.2%
20190228 2
 
0.2%
20111116 2
 
0.2%
20130930 2
 
0.2%
20201022 2
 
0.2%
20171102 2
 
0.2%
20150226 2
 
0.2%
Other values (302) 307
33.7%
(Missing) 581
63.7%
ValueCountFrequency (%)
20060405 1
0.1%
20060905 1
0.1%
20060928 1
0.1%
20061226 1
0.1%
20080122 1
0.1%
20080226 1
0.1%
20080403 1
0.1%
20080501 1
0.1%
20080522 1
0.1%
20080927 1
0.1%
ValueCountFrequency (%)
20230314 1
0.1%
20221220 1
0.1%
20220515 1
0.1%
20220423 2
0.2%
20220411 1
0.1%
20220209 1
0.1%
20220114 1
0.1%
20211116 1
0.1%
20211112 1
0.1%
20211031 1
0.1%

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing912
Missing (%)100.0%
Memory size8.1 KiB

시설규모
Real number (ℝ)

MISSING  ZEROS 

Distinct15
Distinct (%)53.6%
Missing884
Missing (%)96.9%
Infinite0
Infinite (%)0.0%
Mean39.928571
Minimum0
Maximum220
Zeros12
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-04-30T04:24:01.908739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q340.75
95-th percentile199.05
Maximum220
Range220
Interquartile range (IQR)40.75

Descriptive statistics

Standard deviation65.295867
Coefficient of variation (CV)1.6353169
Kurtosis2.5712249
Mean39.928571
Median Absolute Deviation (MAD)4
Skewness1.8682524
Sum1118
Variance4263.5503
MonotonicityNot monotonic
2024-04-30T04:24:02.053556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 12
 
1.3%
97 2
 
0.2%
1 2
 
0.2%
39 1
 
0.1%
24 1
 
0.1%
212 1
 
0.1%
30 1
 
0.1%
100 1
 
0.1%
18 1
 
0.1%
7 1
 
0.1%
Other values (5) 5
 
0.5%
(Missing) 884
96.9%
ValueCountFrequency (%)
0 12
1.3%
1 2
 
0.2%
7 1
 
0.1%
16 1
 
0.1%
18 1
 
0.1%
24 1
 
0.1%
30 1
 
0.1%
35 1
 
0.1%
39 1
 
0.1%
46 1
 
0.1%
ValueCountFrequency (%)
220 1
0.1%
212 1
0.1%
175 1
0.1%
100 1
0.1%
97 2
0.2%
46 1
0.1%
39 1
0.1%
35 1
0.1%
30 1
0.1%
24 1
0.1%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
03220000CDFI226004198200000119820913<NA>3폐업3폐업20151231<NA><NA><NA>539-9991<NA>135717서울특별시 강남구 역삼동 642-6번지 성지하이츠3차빌딩 1309호서울특별시 강남구 논현로 507, 1309호 (역삼동, 성지하이츠3차빌딩)6132(주)미주여행사2016-02-23 17:48:47I2018-08-31 23:59:59.0<NA>203111.505627444387.529456종합여행업<NA><NA><NA><NA><NA>여행공제회<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2015011420160114<NA><NA>
13220000CDFI226004198200000219820922<NA>5제외/삭제/전출15전출20220513<NA><NA><NA>02-547-8855<NA><NA>서울특별시 강남구 신사동 600-8 우리빌딩 402호서울특별시 강남구 논현로164길 21, 402호 (신사동)6025드래곤관광(주)2022-05-13 14:03:36U2021-12-04 23:05:00.0<NA>202580.845446801.515<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23220000CDFI226004198900000119890629201606144취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA>514-6226<NA><NA>서울특별시 강남구 신사동 501-2번지서울특별시 강남구 도산대로 107 (신사동, 대아빌딩)6035(주)대아여행사2016-06-14 16:22:55I2018-08-31 23:59:59.0<NA>201704.936964446060.310725종합여행업<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>2012110420131103<NA><NA>
33220000CDFI226004199100000119910318<NA>5제외/삭제/전출15전출20220614<NA><NA><NA>572-9998<NA><NA>서울특별시 강남구 도곡동 411-14 유일빌딩 5층서울특별시 강남구 남부순환로 2728, 5층 (도곡동, 유일빌딩)6296주식회사 킴스엠앤티2022-06-14 13:18:51U2021-12-05 23:06:00.0<NA>203851.702886442606.195244<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43220000CDFI226004199200000119920117<NA>3폐업3폐업20121126<NA><NA><NA>557-2657<NA><NA>서울특별시 강남구 역삼동 753-3번지 지선빌딩 301호서울특별시 강남구 역삼로9길 21 (역삼동)6244(주)흥인여행사2015-08-05 13:31:08I2018-08-31 23:59:59.0<NA>202906.6419443695.516615종합여행업<NA><NA><NA><NA><NA>여행공제회<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2012013120130131<NA><NA>
53220000CDFI226004199200000219920302200905284취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA>3474-9150<NA><NA>서울특별시 강남구 역삼동 824-11번지 한라클래식오피스텔 1016호서울특별시 강남구 강남대로84길 23 (역삼동, 한라클래식오피스텔)6233(주)락희항공여행사2015-08-05 13:31:43I2018-08-31 23:59:59.0<NA>202616.482035443881.28159종합여행업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63220000CDFI22600419920000031992-07-01<NA>1영업/정상13영업중<NA><NA><NA><NA>3452-0123<NA>135-728서울특별시 강남구 삼성동 159-9 도심공항타워 5층서울특별시 강남구 테헤란로87길 36, 5층 (삼성동, 도심공항타워)6164클럽메드바캉스(주)2023-12-13 13:29:43U2022-11-01 23:05:00.0<NA>205259.52755445361.937086<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73220000CDFI22600419930000011993-01-15<NA>1영업/정상13영업중<NA><NA><NA><NA>551-0736<NA>135-728서울특별시 강남구 삼성동 159-6 한국도심공항터미널서울특별시 강남구 테헤란로87길 22 (삼성동, 한국도심공항터미널)6164한국도심공항(주)2024-04-09 10:57:48U2023-12-03 23:01:00.0<NA>205170.959717445264.936337<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83220000CDFI226004199800000119980805201711204취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA>569-8114<NA>135907서울특별시 강남구 역삼동 603번지서울특별시 강남구 봉은사로 130 (역삼동)<NA>(주)스타트래블2018-07-19 14:32:25I2018-08-31 23:59:59.0<NA>202482.701418444787.812951종합여행업<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>2012090320130902<NA><NA>
93220000CDFI226004199800000319981104<NA>3폐업3폐업20100309<NA><NA><NA>3446-4117<NA>135881서울특별시 강남구 삼성동 161-6번지 유진빌딩 3층서울특별시 강남구 봉은사로 620 (삼성동,유진빌딩 3층)<NA>(주)비엠디2010-03-09 17:06:41I2018-08-31 23:59:59.0<NA>205523.261261445804.333672종합여행업<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>2008021620090215<NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
9023220000CDFI22600420240000292024-03-20<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 논현동 259-11서울특별시 강남구 학동로44길 47, 2층 201호 (논현동)6101주식회사 진하컨설팅2024-03-28 10:10:52U2023-12-02 21:00:00.0<NA>203247.625228445604.93783<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9033220000CDFI22600420240000302023-04-11<NA>1영업/정상13영업중<NA><NA><NA><NA>070-8832-3895<NA><NA>서울특별시 강남구 논현동 203서울특별시 강남구 봉은사로 129-1, 6층 608호 (논현동)6121주식회사 서아2024-03-22 14:46:59I2023-12-02 22:04:00.0<NA>202422.404397444877.223579<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9043220000CDFI22600420240000312024-03-26<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 역삼동 649 유니언타운 강남서울특별시 강남구 강남대로94길 28, 유니언타운 강남 702호 (역삼동)6134주식회사 킵코퍼레이션2024-03-28 10:13:37U2023-12-02 21:00:00.0<NA>202546.845589444157.625343<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9053220000CDFI22600420240000322024-04-02<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6956-3353<NA><NA>서울특별시 강남구 역삼동 837-26 삼일프라자오피스텔서울특별시 강남구 도곡로1길 14, 삼일프라자오피스텔 1502호 (역삼동)6253(주)제이더블유마이스2024-04-02 14:33:55I2023-12-04 00:04:00.0<NA>202803.137561443189.823483<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9063220000CDFI22600420240000332024-04-02<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 개포동 1172-11서울특별시 강남구 논현로6길 20, 2층 221호 (개포동)6314문크루즈 주식회사2024-04-05 16:35:21U2023-12-04 00:07:00.0<NA>204456.031492441271.578531<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9073220000CDFI22600420240000342017-03-14<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 역삼동 809 비제바노서울특별시 강남구 강남대로 464, 비제바노 3층 315호 (역삼동)6123RECREO2024-04-04 20:23:57I2023-12-04 00:06:00.0<NA>202161.020618444633.499865<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9083220000CDFI22600420240000352024-04-08<NA>1영업/정상13영업중<NA><NA><NA><NA>02-561-6513<NA><NA>서울특별시 강남구 역삼동 642-3 석암빌딩서울특별시 강남구 테헤란로25길 6-9, 석암빌딩 5층 561호 (역삼동)6132유한회사 알렉산더앤썬코리아2024-04-11 10:35:55U2023-12-03 23:03:00.0<NA>203107.097549444342.472621<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9093220000CDFI22600420240000362016-07-26<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 역삼동 667-13서울특별시 강남구 봉은사로30길 54, 4층 (역삼동)6136(주)와조아2024-04-16 09:22:57I2023-12-03 23:08:00.0<NA>203125.961855444649.825221<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9103220000CDFI22600420240000372024-04-17<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 삼성동 143-29 삼성동 남성빌딩서울특별시 강남구 삼성로91길 24, 삼성동 남성빌딩 2층 (삼성동)6159주식회사 엑스알투어리스트2024-04-17 11:16:25I2023-12-03 23:09:00.0<NA>204721.983252444955.669918<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9113220000CDFI22600420240000382024-04-23<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 역삼동 697-43 신원빌딩서울특별시 강남구 테헤란로51길 22, 신원빌딩 비101호 (역삼동)6148링크드플러스 주식회사2024-04-23 17:01:43I2023-12-03 22:05:00.0<NA>204009.238304444790.299542<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>