Overview

Dataset statistics

Number of variables60
Number of observations872
Missing cells20262
Missing cells (%)38.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory439.5 KiB
Average record size in memory516.2 B

Variable types

Categorical22
Text9
DateTime6
Numeric11
Unsupported12

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
Author서초구
URLhttps://data.seoul.go.kr/dataList/OA-17598/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
지역구분명 is highly imbalanced (84.8%)Imbalance
주변환경명 is highly imbalanced (87.1%)Imbalance
건물용도명 is highly imbalanced (76.7%)Imbalance
지하층수 is highly imbalanced (80.1%)Imbalance
객실수 is highly imbalanced (90.2%)Imbalance
건축연면적 is highly imbalanced (90.2%)Imbalance
영문상호주소 is highly imbalanced (93.0%)Imbalance
선박총톤수 is highly imbalanced (90.2%)Imbalance
선박척수 is highly imbalanced (90.2%)Imbalance
무대면적 is highly imbalanced (90.2%)Imbalance
좌석수 is highly imbalanced (90.2%)Imbalance
회의실별동시수용인원 is highly imbalanced (90.2%)Imbalance
놀이시설수 is highly imbalanced (90.2%)Imbalance
기획여행보험시작일자 is highly imbalanced (98.4%)Imbalance
기획여행보험종료일자 is highly imbalanced (98.4%)Imbalance
인허가취소일자 has 576 (66.1%) missing valuesMissing
폐업일자 has 564 (64.7%) missing valuesMissing
휴업시작일자 has 862 (98.9%) missing valuesMissing
휴업종료일자 has 862 (98.9%) missing valuesMissing
재개업일자 has 872 (100.0%) missing valuesMissing
전화번호 has 297 (34.1%) missing valuesMissing
소재지면적 has 872 (100.0%) missing valuesMissing
소재지우편번호 has 292 (33.5%) missing valuesMissing
도로명주소 has 42 (4.8%) missing valuesMissing
도로명우편번호 has 446 (51.1%) missing valuesMissing
업태구분명 has 872 (100.0%) missing valuesMissing
좌표정보(X) has 13 (1.5%) missing valuesMissing
좌표정보(Y) has 13 (1.5%) missing valuesMissing
총층수 has 780 (89.4%) missing valuesMissing
제작취급품목내용 has 872 (100.0%) missing valuesMissing
보험기관명 has 528 (60.6%) missing valuesMissing
지상층수 has 774 (88.8%) missing valuesMissing
영문상호명 has 853 (97.8%) missing valuesMissing
선박제원 has 872 (100.0%) missing valuesMissing
기념품종류 has 872 (100.0%) missing valuesMissing
시설면적 has 682 (78.2%) missing valuesMissing
놀이기구수내역 has 872 (100.0%) missing valuesMissing
방송시설유무 has 872 (100.0%) missing valuesMissing
발전시설유무 has 872 (100.0%) missing valuesMissing
의무실유무 has 872 (100.0%) missing valuesMissing
안내소유무 has 872 (100.0%) missing valuesMissing
자본금 has 490 (56.2%) missing valuesMissing
보험시작일자 has 521 (59.7%) missing valuesMissing
보험종료일자 has 521 (59.7%) missing valuesMissing
부대시설내역 has 872 (100.0%) missing valuesMissing
시설규모 has 682 (78.2%) missing valuesMissing
관리번호 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
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 54 (6.2%) zerosZeros
지상층수 has 55 (6.3%) zerosZeros
시설면적 has 133 (15.3%) zerosZeros
시설규모 has 133 (15.3%) zerosZeros

Reproduction

Analysis started2024-04-29 19:22:32.031762
Analysis finished2024-04-29 19:22:33.387477
Duration1.36 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.9 KiB
3210000
872 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3210000
2nd row3210000
3rd row3210000
4th row3210000
5th row3210000

Common Values

ValueCountFrequency (%)
3210000 872
100.0%

Length

2024-04-30T04:22:33.451834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:22:33.567747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3210000 872
100.0%

관리번호
Text

UNIQUE 

Distinct872
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size6.9 KiB
2024-04-30T04:22:33.778907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters17440
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

Unique872 ?
Unique (%)100.0%

Sample

1st rowCDFI2260021989000001
2nd rowCDFI2260021990000001
3rd rowCDFI2260021993000001
4th rowCDFI2260021993000003
5th rowCDFI2260021993000004
ValueCountFrequency (%)
cdfi2260021989000001 1
 
0.1%
cdfi2260022014000050 1
 
0.1%
cdfi2260022014000035 1
 
0.1%
cdfi2260022015000003 1
 
0.1%
cdfi2260022014000036 1
 
0.1%
cdfi2260022014000038 1
 
0.1%
cdfi2260022014000039 1
 
0.1%
cdfi2260022014000041 1
 
0.1%
cdfi2260022014000043 1
 
0.1%
cdfi2260022014000044 1
 
0.1%
Other values (862) 862
98.9%
2024-04-30T04:22:34.154906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6683
38.3%
2 3841
22.0%
6 1058
 
6.1%
C 872
 
5.0%
D 872
 
5.0%
F 872
 
5.0%
I 872
 
5.0%
1 822
 
4.7%
9 343
 
2.0%
3 312
 
1.8%
Other values (4) 893
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 13952
80.0%
Uppercase Letter 3488
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6683
47.9%
2 3841
27.5%
6 1058
 
7.6%
1 822
 
5.9%
9 343
 
2.5%
3 312
 
2.2%
4 283
 
2.0%
5 238
 
1.7%
7 207
 
1.5%
8 165
 
1.2%
Uppercase Letter
ValueCountFrequency (%)
C 872
25.0%
D 872
25.0%
F 872
25.0%
I 872
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13952
80.0%
Latin 3488
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6683
47.9%
2 3841
27.5%
6 1058
 
7.6%
1 822
 
5.9%
9 343
 
2.5%
3 312
 
2.2%
4 283
 
2.0%
5 238
 
1.7%
7 207
 
1.5%
8 165
 
1.2%
Latin
ValueCountFrequency (%)
C 872
25.0%
D 872
25.0%
F 872
25.0%
I 872
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 17440
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6683
38.3%
2 3841
22.0%
6 1058
 
6.1%
C 872
 
5.0%
D 872
 
5.0%
F 872
 
5.0%
I 872
 
5.0%
1 822
 
4.7%
9 343
 
2.0%
3 312
 
1.8%
Other values (4) 893
 
5.1%
Distinct796
Distinct (%)91.3%
Missing0
Missing (%)0.0%
Memory size6.9 KiB
Minimum1988-03-29 00:00:00
Maximum2024-04-16 00:00:00
2024-04-30T04:22:34.347049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:22:34.506746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)2.4%
Missing576
Missing (%)66.1%
Infinite0
Infinite (%)0.0%
Mean20189079
Minimum20081001
Maximum20191016
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.8 KiB
2024-04-30T04:22:34.627450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20081001
5-th percentile20191016
Q120191016
median20191016
Q320191016
95-th percentile20191016
Maximum20191016
Range110015
Interquartile range (IQR)0

Descriptive statistics

Standard deviation12636.013
Coefficient of variation (CV)0.00062588358
Kurtosis43.193763
Mean20189079
Median Absolute Deviation (MAD)0
Skewness-6.5891014
Sum5.9759673 × 109
Variance1.5966882 × 108
MonotonicityNot monotonic
2024-04-30T04:22:34.754841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
20191016 289
33.1%
20120117 2
 
0.2%
20081001 1
 
0.1%
20111006 1
 
0.1%
20100506 1
 
0.1%
20110603 1
 
0.1%
20120329 1
 
0.1%
(Missing) 576
66.1%
ValueCountFrequency (%)
20081001 1
 
0.1%
20100506 1
 
0.1%
20110603 1
 
0.1%
20111006 1
 
0.1%
20120117 2
 
0.2%
20120329 1
 
0.1%
20191016 289
33.1%
ValueCountFrequency (%)
20191016 289
33.1%
20120329 1
 
0.1%
20120117 2
 
0.2%
20111006 1
 
0.1%
20110603 1
 
0.1%
20100506 1
 
0.1%
20081001 1
 
0.1%
Distinct5
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size6.9 KiB
4
300 
3
287 
1
251 
5
 
24
2
 
10

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row3
3rd row4
4th row3
5th row2

Common Values

ValueCountFrequency (%)
4 300
34.4%
3 287
32.9%
1 251
28.8%
5 24
 
2.8%
2 10
 
1.1%

Length

2024-04-30T04:22:34.918699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:22:35.051748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 300
34.4%
3 287
32.9%
1 251
28.8%
5 24
 
2.8%
2 10
 
1.1%

영업상태명
Categorical

Distinct5
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size6.9 KiB
취소/말소/만료/정지/중지
300 
폐업
287 
영업/정상
251 
제외/삭제/전출
 
24
휴업
 
10

Length

Max length14
Median length8
Mean length7.1571101
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row영업/정상
2nd row폐업
3rd row취소/말소/만료/정지/중지
4th row폐업
5th row휴업

Common Values

ValueCountFrequency (%)
취소/말소/만료/정지/중지 300
34.4%
폐업 287
32.9%
영업/정상 251
28.8%
제외/삭제/전출 24
 
2.8%
휴업 10
 
1.1%

Length

2024-04-30T04:22:35.201574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:22:35.334139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
취소/말소/만료/정지/중지 300
34.4%
폐업 287
32.9%
영업/정상 251
28.8%
제외/삭제/전출 24
 
2.8%
휴업 10
 
1.1%

상세영업상태코드
Real number (ℝ)

Distinct7
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.83945
Minimum2
Maximum31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.8 KiB
2024-04-30T04:22:35.476259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q13
median13
Q331
95-th percentile31
Maximum31
Range29
Interquartile range (IQR)28

Descriptive statistics

Standard deviation11.744971
Coefficient of variation (CV)0.74150121
Kurtosis-1.5512125
Mean15.83945
Median Absolute Deviation (MAD)10
Skewness0.28775422
Sum13812
Variance137.94434
MonotonicityNot monotonic
2024-04-30T04:22:35.589570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
31 299
34.3%
3 287
32.9%
13 242
27.8%
15 24
 
2.8%
2 10
 
1.1%
14 9
 
1.0%
30 1
 
0.1%
ValueCountFrequency (%)
2 10
 
1.1%
3 287
32.9%
13 242
27.8%
14 9
 
1.0%
15 24
 
2.8%
30 1
 
0.1%
31 299
34.3%
ValueCountFrequency (%)
31 299
34.3%
30 1
 
0.1%
15 24
 
2.8%
14 9
 
1.0%
13 242
27.8%
3 287
32.9%
2 10
 
1.1%
Distinct7
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size6.9 KiB
등록취소
299 
폐업
287 
영업중
242 
전출
 
24
휴업
 
10
Other values (2)
 
10

Length

Max length4
Median length3
Mean length2.9655963
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
등록취소 299
34.3%
폐업 287
32.9%
영업중 242
27.8%
전출 24
 
2.8%
휴업 10
 
1.1%
전입 9
 
1.0%
허가취소 1
 
0.1%

Length

2024-04-30T04:22:35.743330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:22:35.883033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
등록취소 299
34.3%
폐업 287
32.9%
영업중 242
27.8%
전출 24
 
2.8%
휴업 10
 
1.1%
전입 9
 
1.0%
허가취소 1
 
0.1%

폐업일자
Date

MISSING 

Distinct275
Distinct (%)89.3%
Missing564
Missing (%)64.7%
Memory size6.9 KiB
Minimum1997-03-06 00:00:00
Maximum2024-04-16 00:00:00
2024-04-30T04:22:36.005645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:22:36.102400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct10
Distinct (%)100.0%
Missing862
Missing (%)98.9%
Memory size6.9 KiB
Minimum2001-10-24 00:00:00
Maximum2023-01-01 00:00:00
2024-04-30T04:22:36.197544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:22:36.297119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)

휴업종료일자
Date

MISSING 

Distinct10
Distinct (%)100.0%
Missing862
Missing (%)98.9%
Memory size6.9 KiB
Minimum2001-04-01 00:00:00
Maximum2026-02-07 00:00:00
2024-04-30T04:22:36.390628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:22:36.477265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing872
Missing (%)100.0%
Memory size7.8 KiB

전화번호
Text

MISSING 

Distinct563
Distinct (%)97.9%
Missing297
Missing (%)34.1%
Memory size6.9 KiB
2024-04-30T04:22:36.657809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length9.5704348
Min length4

Characters and Unicode

Total characters5503
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique551 ?
Unique (%)95.8%

Sample

1st row585-4185
2nd row521-6622
3rd row578-3225
4th row512-5545
5th row586-2724
ValueCountFrequency (%)
02 14
 
2.3%
545-3500 2
 
0.3%
02-3487-2233 2
 
0.3%
3477-7807 2
 
0.3%
02-512-6221 2
 
0.3%
02-599-8255 2
 
0.3%
02-6959-9784 2
 
0.3%
070 2
 
0.3%
3477-6001 2
 
0.3%
02-3461-1800 2
 
0.3%
Other values (568) 572
94.7%
2024-04-30T04:22:36.960819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 746
13.6%
0 726
13.2%
5 669
12.2%
2 641
11.6%
7 466
8.5%
3 447
8.1%
4 428
7.8%
8 418
7.6%
1 374
6.8%
6 283
 
5.1%
Other values (3) 305
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4723
85.8%
Dash Punctuation 746
 
13.6%
Space Separator 33
 
0.6%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 726
15.4%
5 669
14.2%
2 641
13.6%
7 466
9.9%
3 447
9.5%
4 428
9.1%
8 418
8.9%
1 374
7.9%
6 283
 
6.0%
9 271
 
5.7%
Dash Punctuation
ValueCountFrequency (%)
- 746
100.0%
Space Separator
ValueCountFrequency (%)
33
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5503
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 746
13.6%
0 726
13.2%
5 669
12.2%
2 641
11.6%
7 466
8.5%
3 447
8.1%
4 428
7.8%
8 418
7.6%
1 374
6.8%
6 283
 
5.1%
Other values (3) 305
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5503
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 746
13.6%
0 726
13.2%
5 669
12.2%
2 641
11.6%
7 466
8.5%
3 447
8.1%
4 428
7.8%
8 418
7.6%
1 374
6.8%
6 283
 
5.1%
Other values (3) 305
5.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing872
Missing (%)100.0%
Memory size7.8 KiB

소재지우편번호
Text

MISSING 

Distinct145
Distinct (%)25.0%
Missing292
Missing (%)33.5%
Memory size6.9 KiB
2024-04-30T04:22:37.242996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0206897
Min length6

Characters and Unicode

Total characters3492
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

Unique69 ?
Unique (%)11.9%

Sample

1st row137803
2nd row137130
3rd row137902
4th row137875
5th row137855
ValueCountFrequency (%)
137856 53
 
9.1%
137071 35
 
6.0%
137855 26
 
4.5%
137860 23
 
4.0%
137858 23
 
4.0%
137902 22
 
3.8%
137876 19
 
3.3%
137857 16
 
2.8%
137073 12
 
2.1%
137881 12
 
2.1%
Other values (135) 339
58.4%
2024-04-30T04:22:37.652723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 725
20.8%
1 718
20.6%
3 667
19.1%
8 466
13.3%
0 257
 
7.4%
5 209
 
6.0%
6 170
 
4.9%
9 119
 
3.4%
2 90
 
2.6%
4 59
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3480
99.7%
Dash Punctuation 12
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 725
20.8%
1 718
20.6%
3 667
19.2%
8 466
13.4%
0 257
 
7.4%
5 209
 
6.0%
6 170
 
4.9%
9 119
 
3.4%
2 90
 
2.6%
4 59
 
1.7%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3492
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
7 725
20.8%
1 718
20.6%
3 667
19.1%
8 466
13.3%
0 257
 
7.4%
5 209
 
6.0%
6 170
 
4.9%
9 119
 
3.4%
2 90
 
2.6%
4 59
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3492
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 725
20.8%
1 718
20.6%
3 667
19.1%
8 466
13.3%
0 257
 
7.4%
5 209
 
6.0%
6 170
 
4.9%
9 119
 
3.4%
2 90
 
2.6%
4 59
 
1.7%
Distinct780
Distinct (%)89.4%
Missing0
Missing (%)0.0%
Memory size6.9 KiB
2024-04-30T04:22:37.905857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length41
Mean length28.93922
Min length13

Characters and Unicode

Total characters25235
Distinct characters323
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique732 ?
Unique (%)83.9%

Sample

1st row서울특별시 서초구 방배동
2nd row서울특별시 서초구 반포동 59-3번지 서흥빌딩 3층
3rd row서울특별시 서초구 양재동 275-2번지 윈드스톤빌딩 1603동
4th row서울특별시 서초구 잠원동 15-9번지 태승빌딩 305호
5th row서울특별시 서초구 서초동 1574-7번지 은혜빌딩 3층
ValueCountFrequency (%)
서울특별시 869
18.9%
서초구 840
18.3%
서초동 516
 
11.2%
잠원동 92
 
2.0%
양재동 84
 
1.8%
방배동 81
 
1.8%
반포동 61
 
1.3%
3층 28
 
0.6%
2층 23
 
0.5%
1층 21
 
0.5%
Other values (1311) 1975
43.0%
2024-04-30T04:22:38.292189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4243
16.8%
2305
 
9.1%
1406
 
5.6%
1 1389
 
5.5%
959
 
3.8%
885
 
3.5%
873
 
3.5%
871
 
3.5%
870
 
3.4%
869
 
3.4%
Other values (313) 10565
41.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14644
58.0%
Decimal Number 5424
 
21.5%
Space Separator 4243
 
16.8%
Dash Punctuation 792
 
3.1%
Uppercase Letter 72
 
0.3%
Other Punctuation 22
 
0.1%
Open Punctuation 18
 
0.1%
Close Punctuation 18
 
0.1%
Math Symbol 1
 
< 0.1%
Modifier Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2305
15.7%
1406
 
9.6%
959
 
6.5%
885
 
6.0%
873
 
6.0%
871
 
5.9%
870
 
5.9%
869
 
5.9%
660
 
4.5%
606
 
4.1%
Other values (276) 4340
29.6%
Uppercase Letter
ValueCountFrequency (%)
B 24
33.3%
A 14
19.4%
L 8
 
11.1%
G 4
 
5.6%
R 3
 
4.2%
T 3
 
4.2%
S 2
 
2.8%
N 2
 
2.8%
K 2
 
2.8%
E 2
 
2.8%
Other values (8) 8
 
11.1%
Decimal Number
ValueCountFrequency (%)
1 1389
25.6%
3 782
14.4%
2 589
10.9%
0 581
10.7%
5 454
 
8.4%
4 373
 
6.9%
8 341
 
6.3%
7 338
 
6.2%
6 299
 
5.5%
9 278
 
5.1%
Other Punctuation
ValueCountFrequency (%)
, 18
81.8%
. 2
 
9.1%
? 2
 
9.1%
Space Separator
ValueCountFrequency (%)
4243
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 792
100.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14643
58.0%
Common 10519
41.7%
Latin 72
 
0.3%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2305
15.7%
1406
 
9.6%
959
 
6.5%
885
 
6.0%
873
 
6.0%
871
 
5.9%
870
 
5.9%
869
 
5.9%
660
 
4.5%
606
 
4.1%
Other values (275) 4339
29.6%
Common
ValueCountFrequency (%)
4243
40.3%
1 1389
 
13.2%
- 792
 
7.5%
3 782
 
7.4%
2 589
 
5.6%
0 581
 
5.5%
5 454
 
4.3%
4 373
 
3.5%
8 341
 
3.2%
7 338
 
3.2%
Other values (9) 637
 
6.1%
Latin
ValueCountFrequency (%)
B 24
33.3%
A 14
19.4%
L 8
 
11.1%
G 4
 
5.6%
R 3
 
4.2%
T 3
 
4.2%
S 2
 
2.8%
N 2
 
2.8%
K 2
 
2.8%
E 2
 
2.8%
Other values (8) 8
 
11.1%
Han
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14643
58.0%
ASCII 10591
42.0%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4243
40.1%
1 1389
 
13.1%
- 792
 
7.5%
3 782
 
7.4%
2 589
 
5.6%
0 581
 
5.5%
5 454
 
4.3%
4 373
 
3.5%
8 341
 
3.2%
7 338
 
3.2%
Other values (27) 709
 
6.7%
Hangul
ValueCountFrequency (%)
2305
15.7%
1406
 
9.6%
959
 
6.5%
885
 
6.0%
873
 
6.0%
871
 
5.9%
870
 
5.9%
869
 
5.9%
660
 
4.5%
606
 
4.1%
Other values (275) 4339
29.6%
CJK
ValueCountFrequency (%)
1
100.0%

도로명주소
Text

MISSING 

Distinct804
Distinct (%)96.9%
Missing42
Missing (%)4.8%
Memory size6.9 KiB
2024-04-30T04:22:38.522660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length48
Mean length36.031325
Min length21

Characters and Unicode

Total characters29906
Distinct characters349
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique780 ?
Unique (%)94.0%

Sample

1st row서울특별시 서초구 방배로 130, 105호 (방배동)
2nd row서울특별시 서초구 고무래로 4 (반포동,서흥빌딩 3층)
3rd row서울특별시 서초구 논현로 79, 1603동 (양재동,윈드스톤빌딩)
4th row서울특별시 서초구 나루터로 61 (잠원동,태승빌딩 305호)
5th row서울특별시 서초구 반포대로28길 93 (서초동,은혜빌딩 3층)
ValueCountFrequency (%)
서울특별시 827
 
15.5%
서초구 800
 
15.0%
서초동 272
 
5.1%
강남대로 118
 
2.2%
3층 56
 
1.1%
방배동 53
 
1.0%
양재동 51
 
1.0%
잠원동 47
 
0.9%
2층 43
 
0.8%
서초대로 40
 
0.8%
Other values (1360) 3023
56.7%
2024-04-30T04:22:38.875615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4662
 
15.6%
2409
 
8.1%
1510
 
5.0%
, 1091
 
3.6%
1 1016
 
3.4%
942
 
3.1%
844
 
2.8%
841
 
2.8%
) 839
 
2.8%
( 839
 
2.8%
Other values (339) 14913
49.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17209
57.5%
Decimal Number 5042
 
16.9%
Space Separator 4662
 
15.6%
Other Punctuation 1096
 
3.7%
Close Punctuation 839
 
2.8%
Open Punctuation 839
 
2.8%
Uppercase Letter 127
 
0.4%
Dash Punctuation 89
 
0.3%
Math Symbol 2
 
< 0.1%
Modifier Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2409
 
14.0%
1510
 
8.8%
942
 
5.5%
844
 
4.9%
841
 
4.9%
832
 
4.8%
830
 
4.8%
828
 
4.8%
827
 
4.8%
543
 
3.2%
Other values (300) 6803
39.5%
Uppercase Letter
ValueCountFrequency (%)
B 41
32.3%
A 28
22.0%
L 10
 
7.9%
R 6
 
4.7%
G 6
 
4.7%
E 5
 
3.9%
T 4
 
3.1%
S 3
 
2.4%
M 3
 
2.4%
O 3
 
2.4%
Other values (10) 18
14.2%
Decimal Number
ValueCountFrequency (%)
1 1016
20.2%
0 699
13.9%
3 686
13.6%
2 642
12.7%
4 451
8.9%
5 423
8.4%
7 317
 
6.3%
6 304
 
6.0%
9 258
 
5.1%
8 246
 
4.9%
Other Punctuation
ValueCountFrequency (%)
, 1091
99.5%
? 3
 
0.3%
. 2
 
0.2%
Space Separator
ValueCountFrequency (%)
4662
100.0%
Close Punctuation
ValueCountFrequency (%)
) 839
100.0%
Open Punctuation
ValueCountFrequency (%)
( 839
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 89
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17209
57.5%
Common 12570
42.0%
Latin 127
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2409
 
14.0%
1510
 
8.8%
942
 
5.5%
844
 
4.9%
841
 
4.9%
832
 
4.8%
830
 
4.8%
828
 
4.8%
827
 
4.8%
543
 
3.2%
Other values (300) 6803
39.5%
Latin
ValueCountFrequency (%)
B 41
32.3%
A 28
22.0%
L 10
 
7.9%
R 6
 
4.7%
G 6
 
4.7%
E 5
 
3.9%
T 4
 
3.1%
S 3
 
2.4%
M 3
 
2.4%
O 3
 
2.4%
Other values (10) 18
14.2%
Common
ValueCountFrequency (%)
4662
37.1%
, 1091
 
8.7%
1 1016
 
8.1%
) 839
 
6.7%
( 839
 
6.7%
0 699
 
5.6%
3 686
 
5.5%
2 642
 
5.1%
4 451
 
3.6%
5 423
 
3.4%
Other values (9) 1222
 
9.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17209
57.5%
ASCII 12697
42.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4662
36.7%
, 1091
 
8.6%
1 1016
 
8.0%
) 839
 
6.6%
( 839
 
6.6%
0 699
 
5.5%
3 686
 
5.4%
2 642
 
5.1%
4 451
 
3.6%
5 423
 
3.3%
Other values (29) 1349
 
10.6%
Hangul
ValueCountFrequency (%)
2409
 
14.0%
1510
 
8.8%
942
 
5.5%
844
 
4.9%
841
 
4.9%
832
 
4.8%
830
 
4.8%
828
 
4.8%
827
 
4.8%
543
 
3.2%
Other values (300) 6803
39.5%

도로명우편번호
Text

MISSING 

Distinct147
Distinct (%)34.5%
Missing446
Missing (%)51.1%
Memory size6.9 KiB
2024-04-30T04:22:39.153842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.0868545
Min length5

Characters and Unicode

Total characters2167
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

Unique75 ?
Unique (%)17.6%

Sample

1st row06664
2nd row06627
3rd row06531
4th row06734
5th row06634
ValueCountFrequency (%)
06651 20
 
4.7%
06626 20
 
4.7%
06722 15
 
3.5%
06621 13
 
3.1%
06627 12
 
2.8%
137071 12
 
2.8%
06720 11
 
2.6%
06614 9
 
2.1%
06525 9
 
2.1%
06524 8
 
1.9%
Other values (137) 297
69.7%
2024-04-30T04:22:39.561191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 643
29.7%
0 468
21.6%
7 222
 
10.2%
1 183
 
8.4%
2 177
 
8.2%
5 165
 
7.6%
3 115
 
5.3%
4 95
 
4.4%
8 49
 
2.3%
9 49
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2166
> 99.9%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 643
29.7%
0 468
21.6%
7 222
 
10.2%
1 183
 
8.4%
2 177
 
8.2%
5 165
 
7.6%
3 115
 
5.3%
4 95
 
4.4%
8 49
 
2.3%
9 49
 
2.3%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2167
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 643
29.7%
0 468
21.6%
7 222
 
10.2%
1 183
 
8.4%
2 177
 
8.2%
5 165
 
7.6%
3 115
 
5.3%
4 95
 
4.4%
8 49
 
2.3%
9 49
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2167
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 643
29.7%
0 468
21.6%
7 222
 
10.2%
1 183
 
8.4%
2 177
 
8.2%
5 165
 
7.6%
3 115
 
5.3%
4 95
 
4.4%
8 49
 
2.3%
9 49
 
2.3%
Distinct858
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size6.9 KiB
2024-04-30T04:22:39.808882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length25
Mean length8.6834862
Min length2

Characters and Unicode

Total characters7572
Distinct characters502
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

Unique844 ?
Unique (%)96.8%

Sample

1st row(주)자인여행사
2nd row(주)명신관광여행사
3rd row(주)비지니스 코리아
4th row(주)명인항공여행사
5th row(주)종합여행유유
ValueCountFrequency (%)
주식회사 104
 
10.0%
여행사 5
 
0.5%
코리아 3
 
0.3%
투어 3
 
0.3%
트래블 3
 
0.3%
주)랭스투어 2
 
0.2%
주)투어테크 2
 
0.2%
해피투어 2
 
0.2%
굿파리투어 2
 
0.2%
tour 2
 
0.2%
Other values (901) 917
87.8%
2024-04-30T04:22:40.325397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
664
 
8.8%
) 564
 
7.4%
( 557
 
7.4%
288
 
3.8%
271
 
3.6%
255
 
3.4%
233
 
3.1%
176
 
2.3%
173
 
2.3%
173
 
2.3%
Other values (492) 4218
55.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5967
78.8%
Close Punctuation 564
 
7.4%
Open Punctuation 557
 
7.4%
Uppercase Letter 190
 
2.5%
Space Separator 173
 
2.3%
Lowercase Letter 88
 
1.2%
Other Punctuation 15
 
0.2%
Decimal Number 11
 
0.1%
Dash Punctuation 7
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
664
 
11.1%
288
 
4.8%
271
 
4.5%
255
 
4.3%
233
 
3.9%
176
 
2.9%
173
 
2.9%
169
 
2.8%
134
 
2.2%
111
 
1.9%
Other values (436) 3493
58.5%
Uppercase Letter
ValueCountFrequency (%)
O 20
10.5%
R 20
10.5%
T 19
 
10.0%
E 18
 
9.5%
A 15
 
7.9%
I 12
 
6.3%
U 10
 
5.3%
L 10
 
5.3%
N 9
 
4.7%
K 8
 
4.2%
Other values (14) 49
25.8%
Lowercase Letter
ValueCountFrequency (%)
e 14
15.9%
r 13
14.8%
t 8
9.1%
a 7
8.0%
o 7
8.0%
n 6
 
6.8%
s 5
 
5.7%
i 4
 
4.5%
l 4
 
4.5%
u 3
 
3.4%
Other values (9) 17
19.3%
Decimal Number
ValueCountFrequency (%)
5 4
36.4%
3 3
27.3%
2 2
18.2%
6 1
 
9.1%
1 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
. 11
73.3%
& 2
 
13.3%
, 1
 
6.7%
? 1
 
6.7%
Close Punctuation
ValueCountFrequency (%)
) 564
100.0%
Open Punctuation
ValueCountFrequency (%)
( 557
100.0%
Space Separator
ValueCountFrequency (%)
173
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5967
78.8%
Common 1327
 
17.5%
Latin 278
 
3.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
664
 
11.1%
288
 
4.8%
271
 
4.5%
255
 
4.3%
233
 
3.9%
176
 
2.9%
173
 
2.9%
169
 
2.8%
134
 
2.2%
111
 
1.9%
Other values (436) 3493
58.5%
Latin
ValueCountFrequency (%)
O 20
 
7.2%
R 20
 
7.2%
T 19
 
6.8%
E 18
 
6.5%
A 15
 
5.4%
e 14
 
5.0%
r 13
 
4.7%
I 12
 
4.3%
U 10
 
3.6%
L 10
 
3.6%
Other values (33) 127
45.7%
Common
ValueCountFrequency (%)
) 564
42.5%
( 557
42.0%
173
 
13.0%
. 11
 
0.8%
- 7
 
0.5%
5 4
 
0.3%
3 3
 
0.2%
2 2
 
0.2%
& 2
 
0.2%
, 1
 
0.1%
Other values (3) 3
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5967
78.8%
ASCII 1605
 
21.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
664
 
11.1%
288
 
4.8%
271
 
4.5%
255
 
4.3%
233
 
3.9%
176
 
2.9%
173
 
2.9%
169
 
2.8%
134
 
2.2%
111
 
1.9%
Other values (436) 3493
58.5%
ASCII
ValueCountFrequency (%)
) 564
35.1%
( 557
34.7%
173
 
10.8%
O 20
 
1.2%
R 20
 
1.2%
T 19
 
1.2%
E 18
 
1.1%
A 15
 
0.9%
e 14
 
0.9%
r 13
 
0.8%
Other values (46) 192
 
12.0%
Distinct817
Distinct (%)93.7%
Missing0
Missing (%)0.0%
Memory size6.9 KiB
Minimum2003-04-18 11:31:33
Maximum2024-04-17 10:44:20
2024-04-30T04:22:40.453565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:22:40.563925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.9 KiB
U
567 
I
305 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 567
65.0%
I 305
35.0%

Length

2024-04-30T04:22:40.666849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:22:40.758967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 567
65.0%
i 305
35.0%
Distinct214
Distinct (%)24.5%
Missing0
Missing (%)0.0%
Memory size6.9 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-03 23:09:00
2024-04-30T04:22:40.857764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:22:40.982657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing872
Missing (%)100.0%
Memory size7.8 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct510
Distinct (%)59.4%
Missing13
Missing (%)1.5%
Infinite0
Infinite (%)0.0%
Mean201583.7
Minimum173752.38
Maximum210367.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.8 KiB
2024-04-30T04:22:41.110371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum173752.38
5-th percentile199023.89
Q1201090.83
median201720.5
Q3202437.69
95-th percentile203686.62
Maximum210367.67
Range36615.294
Interquartile range (IQR)1346.8632

Descriptive statistics

Standard deviation1785.7888
Coefficient of variation (CV)0.0088587958
Kurtosis74.353964
Mean201583.7
Median Absolute Deviation (MAD)668.75725
Skewness-5.1172365
Sum1.7316039 × 108
Variance3189041.6
MonotonicityNot monotonic
2024-04-30T04:22:41.247260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
202623.297219041 16
 
1.8%
202183.509841993 15
 
1.7%
202103.94839223 15
 
1.7%
201501.672660443 14
 
1.6%
201848.823344626 14
 
1.6%
202374.665 13
 
1.5%
201090.826874806 12
 
1.4%
202437.690112682 12
 
1.4%
202122.980021099 10
 
1.1%
201213.64069933 9
 
1.0%
Other values (500) 729
83.6%
(Missing) 13
 
1.5%
ValueCountFrequency (%)
173752.381184223 1
0.1%
189084.518748788 1
0.1%
189538.020935968 1
0.1%
195596.825394241 1
0.1%
195900.709427813 1
0.1%
197121.041523674 1
0.1%
197246.42669319 1
0.1%
197404.150956793 1
0.1%
197415.69907315 1
0.1%
197541.418168655 1
0.1%
ValueCountFrequency (%)
210367.674982045 1
 
0.1%
209852.946860567 1
 
0.1%
208836.192051204 1
 
0.1%
206325.349431713 1
 
0.1%
206120.680279661 1
 
0.1%
205055.834025717 1
 
0.1%
204844.63 1
 
0.1%
204273.643194339 3
0.3%
204062.758168398 1
 
0.1%
204060.12990747 1
 
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct510
Distinct (%)59.4%
Missing13
Missing (%)1.5%
Infinite0
Infinite (%)0.0%
Mean443521.43
Minimum417086.15
Maximum461669.32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.8 KiB
2024-04-30T04:22:41.361445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum417086.15
5-th percentile441431.72
Q1442623.44
median443334.37
Q3444295.66
95-th percentile446015.07
Maximum461669.32
Range44583.167
Interquartile range (IQR)1672.2232

Descriptive statistics

Standard deviation1968.0906
Coefficient of variation (CV)0.0044374194
Kurtosis49.93415
Mean443521.43
Median Absolute Deviation (MAD)771.10103
Skewness-1.3855088
Sum3.8098491 × 108
Variance3873380.6
MonotonicityNot monotonic
2024-04-30T04:22:41.472587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
443154.964346798 16
 
1.8%
444119.505393165 15
 
1.7%
444302.879922772 15
 
1.7%
442505.573142545 14
 
1.6%
442614.350799967 14
 
1.6%
443842.38 13
 
1.5%
442834.78460188 12
 
1.4%
443533.590122737 12
 
1.4%
444254.241685558 10
 
1.1%
442739.647017252 9
 
1.0%
Other values (500) 729
83.6%
(Missing) 13
 
1.5%
ValueCountFrequency (%)
417086.15355621 1
 
0.1%
430831.889183026 1
 
0.1%
438334.581605252 1
 
0.1%
439620.265870293 1
 
0.1%
439730.929547293 1
 
0.1%
439960.533113874 1
 
0.1%
440136.781183797 8
0.9%
440256.501465873 1
 
0.1%
440303.490253141 1
 
0.1%
440387.38641804 1
 
0.1%
ValueCountFrequency (%)
461669.32104238 1
0.1%
452310.752960617 1
0.1%
452241.522842737 1
0.1%
452184.2101607 1
0.1%
452115.300046799 1
0.1%
451852.05285101 1
0.1%
451827.973207366 1
0.1%
451393.885452503 1
0.1%
451100.772883934 1
0.1%
451069.818059796 1
0.1%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.9 KiB
국내외여행업
699 
<NA>
173 

Length

Max length6
Median length6
Mean length5.603211
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
국내외여행업 699
80.2%
<NA> 173
 
19.8%

Length

2024-04-30T04:22:41.607685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:22:41.720969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국내외여행업 699
80.2%
na 173
 
19.8%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.9 KiB
관광사업
446 
<NA>
426 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
관광사업 446
51.1%
<NA> 426
48.9%

Length

2024-04-30T04:22:41.811249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:22:41.891629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
관광사업 446
51.1%
na 426
48.9%

지역구분명
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size6.9 KiB
<NA>
825 
근린상업지역
 
27
일반주거지역
 
10
일반상업지역
 
7
준주거지역
 
2

Length

Max length6
Median length4
Mean length4.103211
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 825
94.6%
근린상업지역 27
 
3.1%
일반주거지역 10
 
1.1%
일반상업지역 7
 
0.8%
준주거지역 2
 
0.2%
주거지역 1
 
0.1%

Length

2024-04-30T04:22:41.989620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:22:42.085836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 825
94.6%
근린상업지역 27
 
3.1%
일반주거지역 10
 
1.1%
일반상업지역 7
 
0.8%
준주거지역 2
 
0.2%
주거지역 1
 
0.1%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)14.1%
Missing780
Missing (%)89.4%
Infinite0
Infinite (%)0.0%
Mean3.0869565
Minimum0
Maximum30
Zeros54
Zeros (%)6.2%
Negative0
Negative (%)0.0%
Memory size7.8 KiB
2024-04-30T04:22:42.184009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q35
95-th percentile13.6
Maximum30
Range30
Interquartile range (IQR)5

Descriptive statistics

Standard deviation5.3527279
Coefficient of variation (CV)1.7339823
Kurtosis7.9786977
Mean3.0869565
Median Absolute Deviation (MAD)0
Skewness2.5664908
Sum284
Variance28.651696
MonotonicityNot monotonic
2024-04-30T04:22:42.287199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 54
 
6.2%
4 8
 
0.9%
10 6
 
0.7%
5 6
 
0.7%
6 4
 
0.5%
18 3
 
0.3%
3 2
 
0.2%
7 2
 
0.2%
2 2
 
0.2%
1 2
 
0.2%
Other values (3) 3
 
0.3%
(Missing) 780
89.4%
ValueCountFrequency (%)
0 54
6.2%
1 2
 
0.2%
2 2
 
0.2%
3 2
 
0.2%
4 8
 
0.9%
5 6
 
0.7%
6 4
 
0.5%
7 2
 
0.2%
8 1
 
0.1%
10 6
 
0.7%
ValueCountFrequency (%)
30 1
 
0.1%
20 1
 
0.1%
18 3
 
0.3%
10 6
0.7%
8 1
 
0.1%
7 2
 
0.2%
6 4
0.5%
5 6
0.7%
4 8
0.9%
3 2
 
0.2%

주변환경명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.9 KiB
<NA>
837 
기타
 
33
유흥업소밀집지역
 
1
주택가주변
 
1

Length

Max length8
Median length4
Mean length3.9300459
Min length2

Unique

Unique2 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 837
96.0%
기타 33
 
3.8%
유흥업소밀집지역 1
 
0.1%
주택가주변 1
 
0.1%

Length

2024-04-30T04:22:42.389744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:22:42.476647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 837
96.0%
기타 33
 
3.8%
유흥업소밀집지역 1
 
0.1%
주택가주변 1
 
0.1%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing872
Missing (%)100.0%
Memory size7.8 KiB

보험기관명
Text

MISSING 

Distinct61
Distinct (%)17.7%
Missing528
Missing (%)60.6%
Memory size6.9 KiB
2024-04-30T04:22:42.628327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length17
Mean length11.049419
Min length5

Characters and Unicode

Total characters3801
Distinct characters46
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

Unique33 ?
Unique (%)9.6%

Sample

1st row서울시관광협회장
2nd row여행공제회(3천만원)
3rd row한국관광협회
4th row서울보증보험(3천만원)
5th row보증보험(2천만원)
ValueCountFrequency (%)
서울보증보험(3천만원 70
19.6%
서울보증보험(3000만원 41
11.5%
서울보증보험 27
 
7.6%
서울특별시관광협회 23
 
6.4%
서울시관광협회 21
 
5.9%
여행공제회 21
 
5.9%
서울보증보험주식회사 19
 
5.3%
한국관광협회 18
 
5.0%
여행공제회(3천만원 14
 
3.9%
서울보증보험(4천만원 10
 
2.8%
Other values (49) 93
26.1%
2024-04-30T04:22:42.914911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
419
 
11.0%
0 353
 
9.3%
263
 
6.9%
263
 
6.9%
209
 
5.5%
209
 
5.5%
( 197
 
5.2%
) 196
 
5.2%
3 175
 
4.6%
174
 
4.6%
Other values (36) 1343
35.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2762
72.7%
Decimal Number 562
 
14.8%
Open Punctuation 197
 
5.2%
Close Punctuation 196
 
5.2%
Other Punctuation 66
 
1.7%
Space Separator 13
 
0.3%
Dash Punctuation 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
419
15.2%
263
 
9.5%
263
 
9.5%
209
 
7.6%
209
 
7.6%
174
 
6.3%
173
 
6.3%
173
 
6.3%
121
 
4.4%
99
 
3.6%
Other values (22) 659
23.9%
Decimal Number
ValueCountFrequency (%)
0 353
62.8%
3 175
31.1%
4 21
 
3.7%
5 6
 
1.1%
1 4
 
0.7%
2 2
 
0.4%
6 1
 
0.2%
Other Punctuation
ValueCountFrequency (%)
, 33
50.0%
. 22
33.3%
/ 11
 
16.7%
Open Punctuation
ValueCountFrequency (%)
( 197
100.0%
Close Punctuation
ValueCountFrequency (%)
) 196
100.0%
Space Separator
ValueCountFrequency (%)
13
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2762
72.7%
Common 1039
 
27.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
419
15.2%
263
 
9.5%
263
 
9.5%
209
 
7.6%
209
 
7.6%
174
 
6.3%
173
 
6.3%
173
 
6.3%
121
 
4.4%
99
 
3.6%
Other values (22) 659
23.9%
Common
ValueCountFrequency (%)
0 353
34.0%
( 197
19.0%
) 196
18.9%
3 175
16.8%
, 33
 
3.2%
. 22
 
2.1%
4 21
 
2.0%
13
 
1.3%
/ 11
 
1.1%
5 6
 
0.6%
Other values (4) 12
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2762
72.7%
ASCII 1039
 
27.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
419
15.2%
263
 
9.5%
263
 
9.5%
209
 
7.6%
209
 
7.6%
174
 
6.3%
173
 
6.3%
173
 
6.3%
121
 
4.4%
99
 
3.6%
Other values (22) 659
23.9%
ASCII
ValueCountFrequency (%)
0 353
34.0%
( 197
19.0%
) 196
18.9%
3 175
16.8%
, 33
 
3.2%
. 22
 
2.1%
4 21
 
2.0%
13
 
1.3%
/ 11
 
1.1%
5 6
 
0.6%
Other values (4) 12
 
1.2%

건물용도명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.9 KiB
<NA>
806 
근린생활시설
 
41
사무실
 
24
다가구용 주택(공동주택적용)
 
1

Length

Max length15
Median length4
Mean length4.0791284
Min length3

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 806
92.4%
근린생활시설 41
 
4.7%
사무실 24
 
2.8%
다가구용 주택(공동주택적용) 1
 
0.1%

Length

2024-04-30T04:22:43.030844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:22:43.127746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 806
92.3%
근린생활시설 41
 
4.7%
사무실 24
 
2.7%
다가구용 1
 
0.1%
주택(공동주택적용 1
 
0.1%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)14.3%
Missing774
Missing (%)88.8%
Infinite0
Infinite (%)0.0%
Mean2.1020408
Minimum0
Maximum16
Zeros55
Zeros (%)6.3%
Negative0
Negative (%)0.0%
Memory size7.8 KiB
2024-04-30T04:22:43.206372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q34
95-th percentile8.15
Maximum16
Range16
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.3259052
Coefficient of variation (CV)1.5822267
Kurtosis5.0859787
Mean2.1020408
Median Absolute Deviation (MAD)0
Skewness2.1246737
Sum206
Variance11.061645
MonotonicityNot monotonic
2024-04-30T04:22:43.312540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 55
 
6.3%
4 12
 
1.4%
3 7
 
0.8%
1 6
 
0.7%
5 5
 
0.6%
2 3
 
0.3%
8 3
 
0.3%
6 1
 
0.1%
9 1
 
0.1%
10 1
 
0.1%
Other values (4) 4
 
0.5%
(Missing) 774
88.8%
ValueCountFrequency (%)
0 55
6.3%
1 6
 
0.7%
2 3
 
0.3%
3 7
 
0.8%
4 12
 
1.4%
5 5
 
0.6%
6 1
 
0.1%
7 1
 
0.1%
8 3
 
0.3%
9 1
 
0.1%
ValueCountFrequency (%)
16 1
 
0.1%
15 1
 
0.1%
13 1
 
0.1%
10 1
 
0.1%
9 1
 
0.1%
8 3
 
0.3%
7 1
 
0.1%
6 1
 
0.1%
5 5
0.6%
4 12
1.4%

지하층수
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size6.9 KiB
<NA>
790 
0
 
72
1
 
7
2
 
1
3
 
1

Length

Max length4
Median length4
Mean length3.7178899
Min length1

Unique

Unique3 ?
Unique (%)0.3%

Sample

1st row<NA>
2nd row<NA>
3rd row0
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 790
90.6%
0 72
 
8.3%
1 7
 
0.8%
2 1
 
0.1%
3 1
 
0.1%
5 1
 
0.1%

Length

2024-04-30T04:22:43.420485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:22:43.511477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 790
90.6%
0 72
 
8.3%
1 7
 
0.8%
2 1
 
0.1%
3 1
 
0.1%
5 1
 
0.1%

객실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.9 KiB
<NA>
861 
0
 
11

Length

Max length4
Median length4
Mean length3.962156
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> 861
98.7%
0 11
 
1.3%

Length

2024-04-30T04:22:43.625348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:22:43.727234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 861
98.7%
0 11
 
1.3%

건축연면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.9 KiB
<NA>
861 
0
 
11

Length

Max length4
Median length4
Mean length3.962156
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> 861
98.7%
0 11
 
1.3%

Length

2024-04-30T04:22:43.836731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:22:43.926718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 861
98.7%
0 11
 
1.3%

영문상호명
Text

MISSING 

Distinct19
Distinct (%)100.0%
Missing853
Missing (%)97.8%
Memory size6.9 KiB
2024-04-30T04:22:44.071837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length18
Mean length18.473684
Min length3

Characters and Unicode

Total characters351
Distinct characters48
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)100.0%

Sample

1st rowNOW TRAVEL SERVICE Co., Ltd.
2nd rowA-TECH THERMO&International Cultural Travel Co.,Ltd.
3rd rowPIT INTERNATIONAL Co., Ltd.
4th rowLynn communications
5th row200
ValueCountFrequency (%)
co.,ltd 4
 
7.8%
travel 4
 
7.8%
tour 3
 
5.9%
co 3
 
5.9%
ltd 3
 
5.9%
inc 2
 
3.9%
international 2
 
3.9%
service 2
 
3.9%
world 2
 
3.9%
fides 1
 
2.0%
Other values (25) 25
49.0%
2024-04-30T04:22:44.347738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
32
 
9.1%
T 27
 
7.7%
E 17
 
4.8%
L 17
 
4.8%
o 17
 
4.8%
. 16
 
4.6%
I 16
 
4.6%
O 14
 
4.0%
R 14
 
4.0%
A 14
 
4.0%
Other values (38) 167
47.6%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 183
52.1%
Lowercase Letter 106
30.2%
Space Separator 32
 
9.1%
Other Punctuation 24
 
6.8%
Decimal Number 3
 
0.9%
Open Punctuation 1
 
0.3%
Close Punctuation 1
 
0.3%
Dash Punctuation 1
 
0.3%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
T 27
14.8%
E 17
9.3%
L 17
9.3%
I 16
8.7%
O 14
7.7%
R 14
7.7%
A 14
7.7%
N 12
 
6.6%
C 12
 
6.6%
U 6
 
3.3%
Other values (12) 34
18.6%
Lowercase Letter
ValueCountFrequency (%)
o 17
16.0%
r 12
11.3%
t 11
10.4%
n 11
10.4%
l 8
7.5%
a 8
7.5%
e 7
6.6%
u 7
6.6%
d 6
 
5.7%
i 6
 
5.7%
Other values (7) 13
12.3%
Other Punctuation
ValueCountFrequency (%)
. 16
66.7%
, 7
29.2%
& 1
 
4.2%
Decimal Number
ValueCountFrequency (%)
0 2
66.7%
2 1
33.3%
Space Separator
ValueCountFrequency (%)
32
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 289
82.3%
Common 62
 
17.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
T 27
 
9.3%
E 17
 
5.9%
L 17
 
5.9%
o 17
 
5.9%
I 16
 
5.5%
O 14
 
4.8%
R 14
 
4.8%
A 14
 
4.8%
N 12
 
4.2%
C 12
 
4.2%
Other values (29) 129
44.6%
Common
ValueCountFrequency (%)
32
51.6%
. 16
25.8%
, 7
 
11.3%
0 2
 
3.2%
2 1
 
1.6%
& 1
 
1.6%
( 1
 
1.6%
) 1
 
1.6%
- 1
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 351
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
32
 
9.1%
T 27
 
7.7%
E 17
 
4.8%
L 17
 
4.8%
o 17
 
4.8%
. 16
 
4.6%
I 16
 
4.6%
O 14
 
4.0%
R 14
 
4.0%
A 14
 
4.0%
Other values (38) 167
47.6%

영문상호주소
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size6.9 KiB
<NA>
854 
OVERSEAS TRAVEL BUSINESS
 
11
Overseas travel business
 
3
Overseas Travel Business
 
2
OVERSEAS TOUR BUSINESS
 
1

Length

Max length24
Median length4
Mean length4.4094037
Min length4

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> 854
97.9%
OVERSEAS TRAVEL BUSINESS 11
 
1.3%
Overseas travel business 3
 
0.3%
Overseas Travel Business 2
 
0.2%
OVERSEAS TOUR BUSINESS 1
 
0.1%
Oversea Travel Business 1
 
0.1%

Length

2024-04-30T04:22:44.475356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:22:44.588431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 854
94.1%
business 18
 
2.0%
overseas 17
 
1.9%
travel 17
 
1.9%
tour 1
 
0.1%
oversea 1
 
0.1%

선박총톤수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.9 KiB
<NA>
861 
0
 
11

Length

Max length4
Median length4
Mean length3.962156
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> 861
98.7%
0 11
 
1.3%

Length

2024-04-30T04:22:44.694260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:22:44.779018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 861
98.7%
0 11
 
1.3%

선박척수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.9 KiB
<NA>
861 
0
 
11

Length

Max length4
Median length4
Mean length3.962156
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> 861
98.7%
0 11
 
1.3%

Length

2024-04-30T04:22:44.884439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:22:45.247746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 861
98.7%
0 11
 
1.3%

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing872
Missing (%)100.0%
Memory size7.8 KiB

무대면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.9 KiB
<NA>
861 
0
 
11

Length

Max length4
Median length4
Mean length3.962156
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> 861
98.7%
0 11
 
1.3%

Length

2024-04-30T04:22:45.333716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:22:45.426931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 861
98.7%
0 11
 
1.3%

좌석수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.9 KiB
<NA>
861 
0
 
11

Length

Max length4
Median length4
Mean length3.962156
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> 861
98.7%
0 11
 
1.3%

Length

2024-04-30T04:22:45.527158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:22:45.626492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 861
98.7%
0 11
 
1.3%

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing872
Missing (%)100.0%
Memory size7.8 KiB

회의실별동시수용인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.9 KiB
<NA>
861 
0
 
11

Length

Max length4
Median length4
Mean length3.962156
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> 861
98.7%
0 11
 
1.3%

Length

2024-04-30T04:22:45.747208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:22:45.835451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 861
98.7%
0 11
 
1.3%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct54
Distinct (%)28.4%
Missing682
Missing (%)78.2%
Infinite0
Infinite (%)0.0%
Mean40.882632
Minimum0
Maximum1154.88
Zeros133
Zeros (%)15.3%
Negative0
Negative (%)0.0%
Memory size7.8 KiB
2024-04-30T04:22:45.935592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q329.5
95-th percentile188.43
Maximum1154.88
Range1154.88
Interquartile range (IQR)29.5

Descriptive statistics

Standard deviation118.64478
Coefficient of variation (CV)2.9020827
Kurtosis46.279435
Mean40.882632
Median Absolute Deviation (MAD)0
Skewness5.9568878
Sum7767.7
Variance14076.583
MonotonicityNot monotonic
2024-04-30T04:22:46.064935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 133
 
15.3%
132.0 2
 
0.2%
38.0 2
 
0.2%
100.0 2
 
0.2%
66.0 2
 
0.2%
42.8 1
 
0.1%
26.77 1
 
0.1%
37.76 1
 
0.1%
30.0 1
 
0.1%
66.6 1
 
0.1%
Other values (44) 44
 
5.0%
(Missing) 682
78.2%
ValueCountFrequency (%)
0.0 133
15.3%
1.0 1
 
0.1%
2.0 1
 
0.1%
3.05 1
 
0.1%
8.7 1
 
0.1%
10.0 1
 
0.1%
21.1 1
 
0.1%
22.68 1
 
0.1%
26.77 1
 
0.1%
28.0 1
 
0.1%
ValueCountFrequency (%)
1154.88 1
0.1%
687.45 1
0.1%
496.96 1
0.1%
360.0 1
0.1%
359.7 1
0.1%
290.4 1
0.1%
250.8 1
0.1%
229.22 1
0.1%
204.0 1
0.1%
191.4 1
0.1%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing872
Missing (%)100.0%
Memory size7.8 KiB

놀이시설수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.9 KiB
<NA>
861 
0
 
11

Length

Max length4
Median length4
Mean length3.962156
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> 861
98.7%
0 11
 
1.3%

Length

2024-04-30T04:22:46.175212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:22:46.256333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 861
98.7%
0 11
 
1.3%

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing872
Missing (%)100.0%
Memory size7.8 KiB

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing872
Missing (%)100.0%
Memory size7.8 KiB

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing872
Missing (%)100.0%
Memory size7.8 KiB

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing872
Missing (%)100.0%
Memory size7.8 KiB

기획여행보험시작일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.9 KiB
<NA>
870 
20190215
 
1
20180425
 
1

Length

Max length8
Median length4
Mean length4.0091743
Min length4

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> 870
99.8%
20190215 1
 
0.1%
20180425 1
 
0.1%

Length

2024-04-30T04:22:46.344608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:22:46.439948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 870
99.8%
20190215 1
 
0.1%
20180425 1
 
0.1%

기획여행보험종료일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.9 KiB
<NA>
870 
20200214
 
1
20190424
 
1

Length

Max length8
Median length4
Mean length4.0091743
Min length4

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> 870
99.8%
20200214 1
 
0.1%
20190424 1
 
0.1%

Length

2024-04-30T04:22:46.552463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:22:46.663533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 870
99.8%
20200214 1
 
0.1%
20190424 1
 
0.1%

자본금
Real number (ℝ)

MISSING 

Distinct75
Distinct (%)19.6%
Missing490
Missing (%)56.2%
Infinite0
Infinite (%)0.0%
Mean1.1341216 × 108
Minimum0
Maximum1.654125 × 109
Zeros4
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size7.8 KiB
2024-04-30T04:22:46.782048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile30000000
Q160000000
median1 × 108
Q31 × 108
95-th percentile2 × 108
Maximum1.654125 × 109
Range1.654125 × 109
Interquartile range (IQR)40000000

Descriptive statistics

Standard deviation1.3736279 × 108
Coefficient of variation (CV)1.2111822
Kurtosis62.305489
Mean1.1341216 × 108
Median Absolute Deviation (MAD)35000000
Skewness7.0799391
Sum4.3323445 × 1010
Variance1.8868536 × 1016
MonotonicityNot monotonic
2024-04-30T04:22:46.934084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100000000 153
 
17.5%
60000000 70
 
8.0%
150000000 35
 
4.0%
30000000 21
 
2.4%
200000000 9
 
1.0%
90000000 9
 
1.0%
0 4
 
0.5%
70000000 4
 
0.5%
500000000 3
 
0.3%
65000000 3
 
0.3%
Other values (65) 71
 
8.1%
(Missing) 490
56.2%
ValueCountFrequency (%)
0 4
 
0.5%
12300000 1
 
0.1%
30000000 21
2.4%
30013174 1
 
0.1%
31975138 1
 
0.1%
33255792 1
 
0.1%
34305274 1
 
0.1%
35000000 2
 
0.2%
36789599 1
 
0.1%
41000000 1
 
0.1%
ValueCountFrequency (%)
1654125000 1
 
0.1%
1216363153 1
 
0.1%
1051646621 1
 
0.1%
1020935173 1
 
0.1%
555857751 1
 
0.1%
500000000 3
0.3%
495000000 1
 
0.1%
408190525 1
 
0.1%
400000000 1
 
0.1%
370000000 1
 
0.1%

보험시작일자
Real number (ℝ)

MISSING 

Distinct335
Distinct (%)95.4%
Missing521
Missing (%)59.7%
Infinite0
Infinite (%)0.0%
Mean20139706
Minimum20060128
Maximum20220222
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.8 KiB
2024-04-30T04:22:47.063554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20060128
5-th percentile20070312
Q120090110
median20150507
Q320180852
95-th percentile20205661
Maximum20220222
Range160094
Interquartile range (IQR)90742.5

Descriptive statistics

Standard deviation48120.813
Coefficient of variation (CV)0.0023893503
Kurtosis-1.3634097
Mean20139706
Median Absolute Deviation (MAD)39902
Skewness-0.20713639
Sum7.0690368 × 109
Variance2.3156126 × 109
MonotonicityNot monotonic
2024-04-30T04:22:47.179251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20210331 3
 
0.3%
20200401 3
 
0.3%
20070905 3
 
0.3%
20190924 2
 
0.2%
20130813 2
 
0.2%
20081021 2
 
0.2%
20170309 2
 
0.2%
20081009 2
 
0.2%
20070516 2
 
0.2%
20070616 2
 
0.2%
Other values (325) 328
37.6%
(Missing) 521
59.7%
ValueCountFrequency (%)
20060128 1
0.1%
20060315 1
0.1%
20060328 1
0.1%
20060905 1
0.1%
20060920 1
0.1%
20061010 1
0.1%
20061012 1
0.1%
20061103 1
0.1%
20061113 1
0.1%
20061206 1
0.1%
ValueCountFrequency (%)
20220222 1
 
0.1%
20220202 1
 
0.1%
20220201 1
 
0.1%
20210923 1
 
0.1%
20210617 1
 
0.1%
20210528 1
 
0.1%
20210406 1
 
0.1%
20210401 1
 
0.1%
20210331 3
0.3%
20210324 1
 
0.1%

보험종료일자
Real number (ℝ)

MISSING 

Distinct330
Distinct (%)94.0%
Missing521
Missing (%)59.7%
Infinite0
Infinite (%)0.0%
Mean20149733
Minimum20061207
Maximum20230221
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.8 KiB
2024-04-30T04:22:47.295491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20061207
5-th percentile20080316
Q120100109
median20160511
Q320190764
95-th percentile20215671
Maximum20230221
Range169014
Interquartile range (IQR)90655

Descriptive statistics

Standard deviation48072.999
Coefficient of variation (CV)0.0023857884
Kurtosis-1.3596241
Mean20149733
Median Absolute Deviation (MAD)39897
Skewness-0.20875489
Sum7.0725563 × 109
Variance2.3110132 × 109
MonotonicityNot monotonic
2024-04-30T04:22:47.415603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20220330 3
 
0.3%
20210331 3
 
0.3%
20130716 3
 
0.3%
20200923 2
 
0.2%
20091021 2
 
0.2%
20180308 2
 
0.2%
20200227 2
 
0.2%
20080904 2
 
0.2%
20161223 2
 
0.2%
20130403 2
 
0.2%
Other values (320) 328
37.6%
(Missing) 521
59.7%
ValueCountFrequency (%)
20061207 1
0.1%
20070127 1
0.1%
20070315 1
0.1%
20070327 1
0.1%
20070919 1
0.1%
20071010 1
0.1%
20071012 1
0.1%
20071102 1
0.1%
20071112 1
0.1%
20071206 1
0.1%
ValueCountFrequency (%)
20230221 1
 
0.1%
20230201 1
 
0.1%
20230131 1
 
0.1%
20220922 1
 
0.1%
20220708 1
 
0.1%
20220617 1
 
0.1%
20220527 1
 
0.1%
20220405 1
 
0.1%
20220331 1
 
0.1%
20220330 3
0.3%

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing872
Missing (%)100.0%
Memory size7.8 KiB

시설규모
Real number (ℝ)

MISSING  ZEROS 

Distinct51
Distinct (%)26.8%
Missing682
Missing (%)78.2%
Infinite0
Infinite (%)0.0%
Mean40.889474
Minimum0
Maximum1155
Zeros133
Zeros (%)15.3%
Negative0
Negative (%)0.0%
Memory size7.8 KiB
2024-04-30T04:22:47.543162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q329.5
95-th percentile188.3
Maximum1155
Range1155
Interquartile range (IQR)29.5

Descriptive statistics

Standard deviation118.63859
Coefficient of variation (CV)2.9014457
Kurtosis46.294083
Mean40.889474
Median Absolute Deviation (MAD)0
Skewness5.957431
Sum7769
Variance14075.115
MonotonicityNot monotonic
2024-04-30T04:22:47.681854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 133
 
15.3%
38 3
 
0.3%
132 2
 
0.2%
66 2
 
0.2%
360 2
 
0.2%
45 2
 
0.2%
100 2
 
0.2%
27 1
 
0.1%
30 1
 
0.1%
67 1
 
0.1%
Other values (41) 41
 
4.7%
(Missing) 682
78.2%
ValueCountFrequency (%)
0 133
15.3%
1 1
 
0.1%
2 1
 
0.1%
3 1
 
0.1%
9 1
 
0.1%
10 1
 
0.1%
21 1
 
0.1%
23 1
 
0.1%
27 1
 
0.1%
28 1
 
0.1%
ValueCountFrequency (%)
1155 1
0.1%
687 1
0.1%
497 1
0.1%
360 2
0.2%
290 1
0.1%
251 1
0.1%
229 1
0.1%
204 1
0.1%
191 1
0.1%
185 1
0.1%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
03210000CDFI226002198900000119890415<NA>1영업/정상13영업중<NA><NA><NA><NA>585-4185<NA><NA>서울특별시 서초구 방배동서울특별시 서초구 방배로 130, 105호 (방배동)06664(주)자인여행사2022-05-12 15:07:45U2021-12-04 23:04:00.0<NA>199502.545142442621.229786<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13210000CDFI226002199000000119900922<NA>3폐업3폐업20011029<NA><NA><NA>521-6622<NA>137803서울특별시 서초구 반포동 59-3번지 서흥빌딩 3층서울특별시 서초구 고무래로 4 (반포동,서흥빌딩 3층)<NA>(주)명신관광여행사2003-04-18 11:31:56I2018-08-31 23:59:59.0<NA>200802.671865444647.605274국내외여행업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0
23210000CDFI226002199300000119930118201910164취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA>578-3225<NA>137130서울특별시 서초구 양재동 275-2번지 윈드스톤빌딩 1603동서울특별시 서초구 논현로 79, 1603동 (양재동,윈드스톤빌딩)<NA>(주)비지니스 코리아2019-11-01 10:18:48U2019-11-03 02:40:00.0<NA>203891.041009441636.969241국내외여행업관광사업<NA>0<NA><NA><NA><NA>00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0
33210000CDFI226002199300000319930719<NA>3폐업3폐업19990320<NA><NA><NA>512-5545<NA>137902서울특별시 서초구 잠원동 15-9번지 태승빌딩 305호서울특별시 서초구 나루터로 61 (잠원동,태승빌딩 305호)<NA>(주)명인항공여행사2003-04-18 11:31:56I2018-08-31 23:59:59.0<NA>201408.2516445912.753034국내외여행업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0
43210000CDFI226002199300000419931008<NA>2휴업2휴업<NA>2012020120130131<NA>586-2724<NA>137875서울특별시 서초구 서초동 1574-7번지 은혜빌딩 3층서울특별시 서초구 반포대로28길 93 (서초동,은혜빌딩 3층)<NA>(주)종합여행유유2012-01-30 13:55:44I2018-08-31 23:59:59.0<NA>201118.84272443334.370304국내외여행업관광사업<NA><NA><NA><NA>서울시관광협회장<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2010021820110218<NA><NA>
53210000CDFI226002199300000519931111<NA>3폐업3폐업19980506<NA><NA><NA><NA><NA>137855서울특별시 서초구 서초동 1306-3번지 한승빌딩 602동서울특별시 서초구 강남대로 423, 602동 (서초동,한승빌딩)<NA>주)한우리여행사2003-04-18 11:31:56I2018-08-31 23:59:59.0<NA>202233.709872444233.535745국내외여행업관광사업<NA>0<NA><NA><NA><NA>00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0
63210000CDFI226002199400000219940304<NA>3폐업3폐업19970306<NA><NA><NA>501-8748<NA>137856서울특별시 서초구 서초동 1310-5번지 영동프라자 323호서울특별시 서초구 서운로 184 (서초동,영동프라자 323호)<NA>(주)조아항공여행사2003-04-18 11:31:56I2018-08-31 23:59:59.0<NA>201995.833244444186.479515국내외여행업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0
73210000CDFI226002199400000419940825201910164취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA>543-5557<NA>137905서울특별시 서초구 잠원동 38-26번지 1층서울특별시 서초구 신반포로 333 (잠원동,1층)<NA>(주)아이티항공여행사2019-11-01 10:09:58U2019-11-03 02:40:00.0<NA>201704.659299445410.827928국내외여행업관광사업근린상업지역3기타<NA><NA>근린생활시설10<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>49.5<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>50
83210000CDFI226002199400000519940908201910164취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA>523-5093<NA>137878서울특별시 서초구 서초동 1620-10번지<NA><NA>부경연경여행사한국사2019-11-04 15:16:39U2019-11-06 02:40:00.0<NA><NA><NA>국내외여행업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0
93210000CDFI226002199400000619941012201910164취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA>515-4004<NA>137904서울특별시 서초구 잠원동 28-8 진환빌딩3층서울특별시 서초구 강남대로 571 (잠원동,진환빌딩3층)<NA>(주)리베라2020-08-03 16:52:23U2020-08-05 02:40:00.0<NA>201713.624058445611.458964국내외여행업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
8623210000CDFI22600220230000232021-09-16<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 방배동 450-25 성지빌딩서울특별시 서초구 방배천로2길 5, 성지빌딩 7층 701호 (방배동)06693요모랩스 주식회사2023-11-21 14:04:10U2022-10-31 22:03:00.0<NA>198443.027161441675.385548<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8633210000CDFI22600220230000242023-10-25<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 방배동 851-3 유중문화재단서울특별시 서초구 방배로 180, 유중문화재단 3층 310호 (방배동)06586주식회사 스탬퍼스2023-11-08 08:54:28U2022-10-31 23:00:00.0<NA>199285.043158443069.163643<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8643210000CDFI22600220240000012024-01-17<NA>1영업/정상13영업중<NA><NA><NA><NA>02-575-0312<NA><NA>서울특별시 서초구 양재동 279-8 민빌딩서울특별시 서초구 마방로10길 57, 민빌딩 2층 (양재동)06775주식회사 챌린지월드2024-01-17 09:52:16I2023-11-30 23:09:00.0<NA>203938.998327441464.409961<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8653210000CDFI22600220240000022024-01-30<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 서초동 1567-8 현빌딩서울특별시 서초구 서초대로46길 99, 현빌딩 4층 (서초동)06650기쁨 투어2024-01-30 09:58:52I2023-12-02 00:01:00.0<NA>201122.363486443111.971546<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8663210000CDFI22600220240000032023-01-12<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 서초동 1589-5 센츄리오피스텔서울특별시 서초구 반포대로14길 30, 센츄리오피스텔 1306호 (서초동)06653주식회사 삼진트래블2024-03-07 10:47:04I2023-12-03 00:09:00.0<NA>201052.715465442582.553408<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8673210000CDFI22600220240000042019-01-31<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 서초동 1595-2 센츄리2차오피스텔 1504호서울특별시 서초구 반포대로18길 56, 센츄리2차오피스텔 1504호 (서초동)06651골프킹 주식회사2024-03-11 11:15:46I2023-12-02 23:03:00.0<NA>201111.675821442775.671401<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8683210000CDFI22600220240000052024-03-18<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 서초동 1445-3 국제전자센터 3066호서울특별시 서초구 효령로 304, 국제전자센터 3층 3066호 (서초동)06720파인투어2024-03-18 14:08:39I2023-12-02 22:00:00.0<NA>201501.67266442505.573143<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8693210000CDFI22600220240000062024-04-09<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 양재동 154-2 우성아파트 상가단지서울특별시 서초구 바우뫼로 91, 2층 (양재동, 우성아파트)06751세계여행 예약센터 에그 트래블2024-04-12 11:44:05U2023-12-03 23:04:00.0<NA>202535.840179441604.113262<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8703210000CDFI22600220240000072011-08-04<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 양재동 23 양재역환승주차장서울특별시 서초구 강남대로 221, 양재역환승주차장 204호 (양재동)06749(주)융프라우여행사2024-04-16 14:05:23I2023-12-03 23:08:00.0<NA>202962.207813442366.929775<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8713210000CDFI22600220240000082024-04-16<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 양재동 14-2 유.엘.아이빌딩서울특별시 서초구 강남대로34길 8, 유.엘.아이빌딩 3층 (양재동)06743디스커버리 말레이시아2024-04-17 10:44:20I2023-12-03 23:09:00.0<NA>203173.78493442301.007485<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>