Overview

Dataset statistics

Number of variables61
Number of observations630
Missing cells16944
Missing cells (%)44.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory322.5 KiB
Average record size in memory524.2 B

Variable types

Numeric11
Text9
DateTime6
Categorical19
Unsupported16

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,관광숙박업상세명
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-16043/S/1/datasetView.do

Alerts

인허가취소일자 is highly imbalanced (98.3%)Imbalance
상세영업상태코드 is highly imbalanced (52.7%)Imbalance
상세영업상태명 is highly imbalanced (52.7%)Imbalance
지역구분명 is highly imbalanced (55.5%)Imbalance
주변환경명 is highly imbalanced (65.3%)Imbalance
건물용도명 is highly imbalanced (57.5%)Imbalance
영문상호주소 is highly imbalanced (78.7%)Imbalance
폐업일자 has 483 (76.7%) missing valuesMissing
휴업시작일자 has 618 (98.1%) missing valuesMissing
휴업종료일자 has 618 (98.1%) missing valuesMissing
재개업일자 has 630 (100.0%) missing valuesMissing
전화번호 has 114 (18.1%) missing valuesMissing
소재지면적 has 630 (100.0%) missing valuesMissing
소재지우편번호 has 395 (62.7%) missing valuesMissing
도로명주소 has 8 (1.3%) missing valuesMissing
도로명우편번호 has 94 (14.9%) missing valuesMissing
업태구분명 has 630 (100.0%) missing valuesMissing
총층수 has 403 (64.0%) missing valuesMissing
제작취급품목내용 has 630 (100.0%) missing valuesMissing
보험기관명 has 585 (92.9%) missing valuesMissing
지상층수 has 393 (62.4%) missing valuesMissing
지하층수 has 397 (63.0%) missing valuesMissing
객실수 has 437 (69.4%) missing valuesMissing
건축연면적 has 480 (76.2%) missing valuesMissing
영문상호명 has 553 (87.8%) missing valuesMissing
선박제원 has 630 (100.0%) missing valuesMissing
기념품종류 has 630 (100.0%) missing valuesMissing
시설면적 has 396 (62.9%) missing valuesMissing
놀이기구수내역 has 630 (100.0%) missing valuesMissing
방송시설유무 has 630 (100.0%) missing valuesMissing
발전시설유무 has 630 (100.0%) missing valuesMissing
의무실유무 has 630 (100.0%) missing valuesMissing
안내소유무 has 630 (100.0%) missing valuesMissing
기획여행보험시작일자 has 630 (100.0%) missing valuesMissing
기획여행보험종료일자 has 630 (100.0%) missing valuesMissing
자본금 has 482 (76.5%) missing valuesMissing
보험시작일자 has 630 (100.0%) missing valuesMissing
보험종료일자 has 630 (100.0%) missing valuesMissing
부대시설내역 has 630 (100.0%) missing valuesMissing
시설규모 has 396 (62.9%) missing valuesMissing
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
제작취급품목내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
선박제원 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기념품종류 is an unsupported type, check if it needs cleaning or further analysisUnsupported
놀이기구수내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방송시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
발전시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
의무실유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
안내소유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기획여행보험시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기획여행보험종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
보험시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
보험종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
부대시설내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총층수 has 35 (5.6%) zerosZeros
지상층수 has 29 (4.6%) zerosZeros
지하층수 has 32 (5.1%) zerosZeros
객실수 has 34 (5.4%) zerosZeros
건축연면적 has 48 (7.6%) zerosZeros
시설면적 has 19 (3.0%) zerosZeros
자본금 has 56 (8.9%) zerosZeros
시설규모 has 19 (3.0%) zerosZeros

Reproduction

Analysis started2024-04-29 18:49:48.155575
Analysis finished2024-04-29 18:49:49.515449
Duration1.36 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Real number (ℝ)

Distinct25
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3111825.4
Minimum3000000
Maximum3240000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.7 KiB
2024-04-30T03:49:49.583407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3000000
5-th percentile3000000
Q13010000
median3130000
Q33190000
95-th percentile3230000
Maximum3240000
Range240000
Interquartile range (IQR)180000

Descriptive statistics

Standard deviation87090.407
Coefficient of variation (CV)0.027986919
Kurtosis-1.6452369
Mean3111825.4
Median Absolute Deviation (MAD)90000
Skewness-0.044775232
Sum1.96045 × 109
Variance7.5847389 × 109
MonotonicityNot monotonic
2024-04-30T03:49:49.705200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
3010000 125
19.8%
3220000 87
13.8%
3180000 65
10.3%
3000000 59
9.4%
3150000 35
 
5.6%
3130000 33
 
5.2%
3230000 28
 
4.4%
3050000 22
 
3.5%
3020000 19
 
3.0%
3040000 18
 
2.9%
Other values (15) 139
22.1%
ValueCountFrequency (%)
3000000 59
9.4%
3010000 125
19.8%
3020000 19
 
3.0%
3030000 9
 
1.4%
3040000 18
 
2.9%
3050000 22
 
3.5%
3060000 4
 
0.6%
3070000 7
 
1.1%
3080000 8
 
1.3%
3090000 4
 
0.6%
ValueCountFrequency (%)
3240000 7
 
1.1%
3230000 28
 
4.4%
3220000 87
13.8%
3210000 16
 
2.5%
3200000 17
 
2.7%
3190000 8
 
1.3%
3180000 65
10.3%
3170000 13
 
2.1%
3160000 16
 
2.5%
3150000 35
5.6%
Distinct195
Distinct (%)31.0%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
2024-04-30T03:49:49.879326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters12600
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

Unique86 ?
Unique (%)13.7%

Sample

1st rowCDFI2260032015000001
2nd rowCDFI2260032016000008
3rd rowCDFI2260032021000001
4th rowCDFI2260032016000006
5th rowCDFI2260032016000003
ValueCountFrequency (%)
cdfi2260032014000001 19
 
3.0%
cdfi2260032017000001 19
 
3.0%
cdfi2260032016000001 18
 
2.9%
cdfi2260032018000001 15
 
2.4%
cdfi2260032015000001 14
 
2.2%
cdfi2260032017000002 14
 
2.2%
cdfi2260032023000001 13
 
2.1%
cdfi2260032019000001 13
 
2.1%
cdfi2260032016000002 13
 
2.1%
cdfi2260032018000002 12
 
1.9%
Other values (185) 480
76.2%
2024-04-30T03:49:50.179761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5022
39.9%
2 2048
16.3%
1 844
 
6.7%
3 774
 
6.1%
6 741
 
5.9%
C 630
 
5.0%
D 630
 
5.0%
F 630
 
5.0%
I 630
 
5.0%
9 207
 
1.6%
Other values (4) 444
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10080
80.0%
Uppercase Letter 2520
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5022
49.8%
2 2048
20.3%
1 844
 
8.4%
3 774
 
7.7%
6 741
 
7.4%
9 207
 
2.1%
8 118
 
1.2%
7 114
 
1.1%
4 108
 
1.1%
5 104
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
C 630
25.0%
D 630
25.0%
F 630
25.0%
I 630
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10080
80.0%
Latin 2520
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5022
49.8%
2 2048
20.3%
1 844
 
8.4%
3 774
 
7.7%
6 741
 
7.4%
9 207
 
2.1%
8 118
 
1.2%
7 114
 
1.1%
4 108
 
1.1%
5 104
 
1.0%
Latin
ValueCountFrequency (%)
C 630
25.0%
D 630
25.0%
F 630
25.0%
I 630
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12600
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5022
39.9%
2 2048
16.3%
1 844
 
6.7%
3 774
 
6.1%
6 741
 
5.9%
C 630
 
5.0%
D 630
 
5.0%
F 630
 
5.0%
I 630
 
5.0%
9 207
 
1.6%
Other values (4) 444
 
3.5%
Distinct556
Distinct (%)88.3%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
Minimum1960-06-10 00:00:00
Maximum2024-04-09 00:00:00
2024-04-30T03:49:50.308260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:49:50.448314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
<NA>
629 
20110105
 
1

Length

Max length8
Median length4
Mean length4.0063492
Min length4

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 629
99.8%
20110105 1
 
0.2%

Length

2024-04-30T03:49:50.585730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:49:50.672802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 629
99.8%
20110105 1
 
0.2%
Distinct4
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
1
454 
3
145 
4
 
19
2
 
12

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 454
72.1%
3 145
 
23.0%
4 19
 
3.0%
2 12
 
1.9%

Length

2024-04-30T03:49:50.761850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:49:50.844271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 454
72.1%
3 145
 
23.0%
4 19
 
3.0%
2 12
 
1.9%

영업상태명
Categorical

Distinct4
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
영업/정상
454 
폐업
145 
취소/말소/만료/정지/중지
 
19
휴업
 
12

Length

Max length14
Median length5
Mean length4.5238095
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 454
72.1%
폐업 145
 
23.0%
취소/말소/만료/정지/중지 19
 
3.0%
휴업 12
 
1.9%

Length

2024-04-30T03:49:50.936278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:49:51.032128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 454
72.1%
폐업 145
 
23.0%
취소/말소/만료/정지/중지 19
 
3.0%
휴업 12
 
1.9%

상세영업상태코드
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
13
454 
3
145 
35
 
18
2
 
12
31
 
1

Length

Max length2
Median length2
Mean length1.7507937
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
13 454
72.1%
3 145
 
23.0%
35 18
 
2.9%
2 12
 
1.9%
31 1
 
0.2%

Length

2024-04-30T03:49:51.126557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:49:51.208728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 454
72.1%
3 145
 
23.0%
35 18
 
2.9%
2 12
 
1.9%
31 1
 
0.2%

상세영업상태명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
영업중
454 
폐업
145 
직권말소
 
18
휴업
 
12
등록취소
 
1

Length

Max length4
Median length3
Mean length2.7809524
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 454
72.1%
폐업 145
 
23.0%
직권말소 18
 
2.9%
휴업 12
 
1.9%
등록취소 1
 
0.2%

Length

2024-04-30T03:49:51.307630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:49:51.405116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 454
72.1%
폐업 145
 
23.0%
직권말소 18
 
2.9%
휴업 12
 
1.9%
등록취소 1
 
0.2%

폐업일자
Date

MISSING 

Distinct136
Distinct (%)92.5%
Missing483
Missing (%)76.7%
Memory size5.1 KiB
Minimum2004-02-04 00:00:00
Maximum2024-02-01 00:00:00
2024-04-30T03:49:51.509225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:49:51.633610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct11
Distinct (%)91.7%
Missing618
Missing (%)98.1%
Memory size5.1 KiB
Minimum2001-08-27 00:00:00
Maximum2024-03-31 00:00:00
2024-04-30T03:49:51.727116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:49:51.816112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)

휴업종료일자
Date

MISSING 

Distinct10
Distinct (%)83.3%
Missing618
Missing (%)98.1%
Memory size5.1 KiB
Minimum2002-02-26 00:00:00
Maximum2027-12-31 00:00:00
2024-04-30T03:49:51.909317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:49:52.023461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing630
Missing (%)100.0%
Memory size5.7 KiB

전화번호
Text

MISSING 

Distinct506
Distinct (%)98.1%
Missing114
Missing (%)18.1%
Memory size5.1 KiB
2024-04-30T03:49:52.213520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length18
Mean length10.604651
Min length8

Characters and Unicode

Total characters5472
Distinct characters15
Distinct categories6 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique496 ?
Unique (%)96.1%

Sample

1st row02-2058-1000
2nd row2283-3000
3rd row02-856-0933
4th row2211-8011
5th row2276-3500
ValueCountFrequency (%)
02 22
 
4.0%
2139-1000 2
 
0.4%
3425-8050 2
 
0.4%
555-5656 2
 
0.4%
02-2229-5500 2
 
0.4%
02-2223-7522 2
 
0.4%
2020-4040 2
 
0.4%
02-2677-5511 2
 
0.4%
02-453-5131 2
 
0.4%
542-0112 2
 
0.4%
Other values (514) 515
92.8%
2024-04-30T03:49:52.519949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1130
20.7%
2 852
15.6%
- 754
13.8%
1 433
 
7.9%
7 384
 
7.0%
5 363
 
6.6%
6 350
 
6.4%
3 333
 
6.1%
8 287
 
5.2%
4 262
 
4.8%
Other values (5) 324
 
5.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4641
84.8%
Dash Punctuation 754
 
13.8%
Space Separator 61
 
1.1%
Other Punctuation 11
 
0.2%
Math Symbol 4
 
0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1130
24.3%
2 852
18.4%
1 433
 
9.3%
7 384
 
8.3%
5 363
 
7.8%
6 350
 
7.5%
3 333
 
7.2%
8 287
 
6.2%
4 262
 
5.6%
9 247
 
5.3%
Dash Punctuation
ValueCountFrequency (%)
- 754
100.0%
Space Separator
ValueCountFrequency (%)
61
100.0%
Other Punctuation
ValueCountFrequency (%)
, 11
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5472
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1130
20.7%
2 852
15.6%
- 754
13.8%
1 433
 
7.9%
7 384
 
7.0%
5 363
 
6.6%
6 350
 
6.4%
3 333
 
6.1%
8 287
 
5.2%
4 262
 
4.8%
Other values (5) 324
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5472
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1130
20.7%
2 852
15.6%
- 754
13.8%
1 433
 
7.9%
7 384
 
7.0%
5 363
 
6.6%
6 350
 
6.4%
3 333
 
6.1%
8 287
 
5.2%
4 262
 
4.8%
Other values (5) 324
 
5.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing630
Missing (%)100.0%
Memory size5.7 KiB

소재지우편번호
Text

MISSING 

Distinct179
Distinct (%)76.2%
Missing395
Missing (%)62.7%
Memory size5.1 KiB
2024-04-30T03:49:52.868851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.4
Min length6

Characters and Unicode

Total characters1504
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

Unique144 ?
Unique (%)61.3%

Sample

1st row135-964
2nd row143-800
3rd row135-915
4th row151890
5th row120020
ValueCountFrequency (%)
150868 6
 
2.6%
150870 6
 
2.6%
100-861 5
 
2.1%
150901 4
 
1.7%
157928 4
 
1.7%
100195 3
 
1.3%
157290 3
 
1.3%
157-290 3
 
1.3%
135957 3
 
1.3%
110360 3
 
1.3%
Other values (169) 195
83.0%
2024-04-30T03:49:53.312761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 354
23.5%
0 313
20.8%
8 161
10.7%
3 122
 
8.1%
5 118
 
7.8%
- 94
 
6.2%
2 81
 
5.4%
4 76
 
5.1%
7 71
 
4.7%
9 67
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1410
93.8%
Dash Punctuation 94
 
6.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 354
25.1%
0 313
22.2%
8 161
11.4%
3 122
 
8.7%
5 118
 
8.4%
2 81
 
5.7%
4 76
 
5.4%
7 71
 
5.0%
9 67
 
4.8%
6 47
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 94
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1504
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 354
23.5%
0 313
20.8%
8 161
10.7%
3 122
 
8.1%
5 118
 
7.8%
- 94
 
6.2%
2 81
 
5.4%
4 76
 
5.1%
7 71
 
4.7%
9 67
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1504
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 354
23.5%
0 313
20.8%
8 161
10.7%
3 122
 
8.1%
5 118
 
7.8%
- 94
 
6.2%
2 81
 
5.4%
4 76
 
5.1%
7 71
 
4.7%
9 67
 
4.5%
Distinct604
Distinct (%)95.9%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
2024-04-30T03:49:53.602101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length72
Median length41.5
Mean length21.639683
Min length14

Characters and Unicode

Total characters13633
Distinct characters282
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

Unique589 ?
Unique (%)93.5%

Sample

1st row서울특별시 강남구 개포동 1229-14
2nd row서울특별시 중구 회현동1가 194-15
3rd row서울특별시 금천구 독산동 335-21
4th row서울특별시 중구 남대문로4가 17-23
5th row서울특별시 중구 을지로5가 275-3
ValueCountFrequency (%)
서울특별시 630
 
23.3%
중구 125
 
4.6%
강남구 87
 
3.2%
영등포구 65
 
2.4%
종로구 59
 
2.2%
강서구 35
 
1.3%
마포구 33
 
1.2%
송파구 28
 
1.0%
역삼동 27
 
1.0%
동대문구 22
 
0.8%
Other values (919) 1594
58.9%
2024-04-30T03:49:53.991693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2336
17.1%
727
 
5.3%
655
 
4.8%
637
 
4.7%
636
 
4.7%
634
 
4.7%
630
 
4.6%
630
 
4.6%
1 595
 
4.4%
- 542
 
4.0%
Other values (272) 5611
41.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7956
58.4%
Decimal Number 2712
 
19.9%
Space Separator 2336
 
17.1%
Dash Punctuation 542
 
4.0%
Uppercase Letter 36
 
0.3%
Other Punctuation 24
 
0.2%
Lowercase Letter 9
 
0.1%
Math Symbol 8
 
0.1%
Close Punctuation 5
 
< 0.1%
Open Punctuation 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
727
 
9.1%
655
 
8.2%
637
 
8.0%
636
 
8.0%
634
 
8.0%
630
 
7.9%
630
 
7.9%
194
 
2.4%
171
 
2.1%
159
 
2.0%
Other values (231) 2883
36.2%
Uppercase Letter
ValueCountFrequency (%)
T 5
13.9%
E 4
11.1%
O 3
 
8.3%
L 3
 
8.3%
K 2
 
5.6%
I 2
 
5.6%
A 2
 
5.6%
R 2
 
5.6%
U 2
 
5.6%
H 2
 
5.6%
Other values (7) 9
25.0%
Decimal Number
ValueCountFrequency (%)
1 595
21.9%
2 404
14.9%
3 323
11.9%
4 234
 
8.6%
6 217
 
8.0%
5 214
 
7.9%
7 195
 
7.2%
9 192
 
7.1%
0 170
 
6.3%
8 168
 
6.2%
Lowercase Letter
ValueCountFrequency (%)
e 2
22.2%
l 2
22.2%
g 1
11.1%
u 1
11.1%
h 1
11.1%
o 1
11.1%
t 1
11.1%
Other Punctuation
ValueCountFrequency (%)
, 22
91.7%
. 2
 
8.3%
Space Separator
ValueCountFrequency (%)
2336
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 542
100.0%
Math Symbol
ValueCountFrequency (%)
~ 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7956
58.4%
Common 5632
41.3%
Latin 45
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
727
 
9.1%
655
 
8.2%
637
 
8.0%
636
 
8.0%
634
 
8.0%
630
 
7.9%
630
 
7.9%
194
 
2.4%
171
 
2.1%
159
 
2.0%
Other values (231) 2883
36.2%
Latin
ValueCountFrequency (%)
T 5
 
11.1%
E 4
 
8.9%
O 3
 
6.7%
L 3
 
6.7%
e 2
 
4.4%
l 2
 
4.4%
K 2
 
4.4%
I 2
 
4.4%
A 2
 
4.4%
R 2
 
4.4%
Other values (14) 18
40.0%
Common
ValueCountFrequency (%)
2336
41.5%
1 595
 
10.6%
- 542
 
9.6%
2 404
 
7.2%
3 323
 
5.7%
4 234
 
4.2%
6 217
 
3.9%
5 214
 
3.8%
7 195
 
3.5%
9 192
 
3.4%
Other values (7) 380
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7956
58.4%
ASCII 5677
41.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2336
41.1%
1 595
 
10.5%
- 542
 
9.5%
2 404
 
7.1%
3 323
 
5.7%
4 234
 
4.1%
6 217
 
3.8%
5 214
 
3.8%
7 195
 
3.4%
9 192
 
3.4%
Other values (31) 425
 
7.5%
Hangul
ValueCountFrequency (%)
727
 
9.1%
655
 
8.2%
637
 
8.0%
636
 
8.0%
634
 
8.0%
630
 
7.9%
630
 
7.9%
194
 
2.4%
171
 
2.1%
159
 
2.0%
Other values (231) 2883
36.2%

도로명주소
Text

MISSING 

Distinct589
Distinct (%)94.7%
Missing8
Missing (%)1.3%
Memory size5.1 KiB
2024-04-30T03:49:54.324509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length43
Mean length28.197749
Min length20

Characters and Unicode

Total characters17539
Distinct characters380
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

Unique566 ?
Unique (%)91.0%

Sample

1st row서울특별시 강남구 논현로 66 (개포동)
2nd row서울특별시 중구 퇴계로 52 (회현동1가, 인송빌딩)
3rd row서울특별시 금천구 가산로3길 103 (독산동)
4th row서울특별시 중구 남대문로 9 (남대문로4가, 남대문호텔)
5th row서울특별시 중구 동호로 354 (을지로5가, 극동 스타클래스)
ValueCountFrequency (%)
서울특별시 622
 
18.1%
중구 125
 
3.6%
강남구 87
 
2.5%
영등포구 65
 
1.9%
종로구 57
 
1.7%
강서구 35
 
1.0%
마포구 32
 
0.9%
송파구 27
 
0.8%
역삼동 27
 
0.8%
동대문구 22
 
0.6%
Other values (1114) 2331
68.0%
2024-04-30T03:49:54.807318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2842
 
16.2%
740
 
4.2%
733
 
4.2%
699
 
4.0%
650
 
3.7%
638
 
3.6%
638
 
3.6%
( 624
 
3.6%
) 624
 
3.6%
622
 
3.5%
Other values (370) 8729
49.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10679
60.9%
Space Separator 2842
 
16.2%
Decimal Number 2304
 
13.1%
Open Punctuation 624
 
3.6%
Close Punctuation 624
 
3.6%
Other Punctuation 257
 
1.5%
Dash Punctuation 89
 
0.5%
Uppercase Letter 74
 
0.4%
Lowercase Letter 31
 
0.2%
Math Symbol 15
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
740
 
6.9%
733
 
6.9%
699
 
6.5%
650
 
6.1%
638
 
6.0%
638
 
6.0%
622
 
5.8%
622
 
5.8%
275
 
2.6%
195
 
1.8%
Other values (316) 4867
45.6%
Uppercase Letter
ValueCountFrequency (%)
E 7
 
9.5%
T 7
 
9.5%
C 6
 
8.1%
L 6
 
8.1%
O 5
 
6.8%
A 5
 
6.8%
S 5
 
6.8%
H 5
 
6.8%
M 4
 
5.4%
P 3
 
4.1%
Other values (12) 21
28.4%
Lowercase Letter
ValueCountFrequency (%)
e 5
16.1%
l 5
16.1%
t 3
9.7%
r 2
 
6.5%
u 2
 
6.5%
i 2
 
6.5%
o 2
 
6.5%
g 2
 
6.5%
n 2
 
6.5%
a 1
 
3.2%
Other values (5) 5
16.1%
Decimal Number
ValueCountFrequency (%)
1 502
21.8%
2 377
16.4%
3 274
11.9%
6 216
9.4%
5 191
 
8.3%
0 163
 
7.1%
7 156
 
6.8%
4 155
 
6.7%
8 145
 
6.3%
9 125
 
5.4%
Other Punctuation
ValueCountFrequency (%)
, 246
95.7%
. 11
 
4.3%
Space Separator
ValueCountFrequency (%)
2842
100.0%
Open Punctuation
ValueCountFrequency (%)
( 624
100.0%
Close Punctuation
ValueCountFrequency (%)
) 624
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 89
100.0%
Math Symbol
ValueCountFrequency (%)
~ 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10679
60.9%
Common 6755
38.5%
Latin 105
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
740
 
6.9%
733
 
6.9%
699
 
6.5%
650
 
6.1%
638
 
6.0%
638
 
6.0%
622
 
5.8%
622
 
5.8%
275
 
2.6%
195
 
1.8%
Other values (316) 4867
45.6%
Latin
ValueCountFrequency (%)
E 7
 
6.7%
T 7
 
6.7%
C 6
 
5.7%
L 6
 
5.7%
e 5
 
4.8%
l 5
 
4.8%
O 5
 
4.8%
A 5
 
4.8%
S 5
 
4.8%
H 5
 
4.8%
Other values (27) 49
46.7%
Common
ValueCountFrequency (%)
2842
42.1%
( 624
 
9.2%
) 624
 
9.2%
1 502
 
7.4%
2 377
 
5.6%
3 274
 
4.1%
, 246
 
3.6%
6 216
 
3.2%
5 191
 
2.8%
0 163
 
2.4%
Other values (7) 696
 
10.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10679
60.9%
ASCII 6860
39.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2842
41.4%
( 624
 
9.1%
) 624
 
9.1%
1 502
 
7.3%
2 377
 
5.5%
3 274
 
4.0%
, 246
 
3.6%
6 216
 
3.1%
5 191
 
2.8%
0 163
 
2.4%
Other values (44) 801
 
11.7%
Hangul
ValueCountFrequency (%)
740
 
6.9%
733
 
6.9%
699
 
6.5%
650
 
6.1%
638
 
6.0%
638
 
6.0%
622
 
5.8%
622
 
5.8%
275
 
2.6%
195
 
1.8%
Other values (316) 4867
45.6%

도로명우편번호
Text

MISSING 

Distinct335
Distinct (%)62.5%
Missing94
Missing (%)14.9%
Memory size5.1 KiB
2024-04-30T03:49:55.304600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.0242537
Min length5

Characters and Unicode

Total characters2693
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

Unique227 ?
Unique (%)42.4%

Sample

1st row06307
2nd row04634
3rd row08526
4th row04526
5th row04561
ValueCountFrequency (%)
03115 8
 
1.5%
03132 7
 
1.3%
04526 7
 
1.3%
04537 6
 
1.1%
04561 6
 
1.1%
08760 6
 
1.1%
04565 5
 
0.9%
03766 5
 
0.9%
06142 5
 
0.9%
04630 5
 
0.9%
Other values (325) 476
88.8%
2024-04-30T03:49:55.732687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 700
26.0%
3 291
10.8%
5 286
10.6%
4 283
10.5%
6 260
 
9.7%
2 219
 
8.1%
1 216
 
8.0%
7 197
 
7.3%
8 132
 
4.9%
9 107
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2691
99.9%
Dash Punctuation 2
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 700
26.0%
3 291
10.8%
5 286
10.6%
4 283
10.5%
6 260
 
9.7%
2 219
 
8.1%
1 216
 
8.0%
7 197
 
7.3%
8 132
 
4.9%
9 107
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2693
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 700
26.0%
3 291
10.8%
5 286
10.6%
4 283
10.5%
6 260
 
9.7%
2 219
 
8.1%
1 216
 
8.0%
7 197
 
7.3%
8 132
 
4.9%
9 107
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2693
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 700
26.0%
3 291
10.8%
5 286
10.6%
4 283
10.5%
6 260
 
9.7%
2 219
 
8.1%
1 216
 
8.0%
7 197
 
7.3%
8 132
 
4.9%
9 107
 
4.0%
Distinct621
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
2024-04-30T03:49:56.008920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length68
Median length38
Mean length9.5761905
Min length2

Characters and Unicode

Total characters6033
Distinct characters403
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique613 ?
Unique (%)97.3%

Sample

1st row호텔 데님(Hotel Denim)
2nd row티마크그랜드호텔명동
3rd row위너스
4th row코트야드 메리어트 남대문호텔
5th row라마다서울동대문호텔(정광개발주식회사)
ValueCountFrequency (%)
호텔 129
 
10.1%
서울 59
 
4.6%
관광호텔 29
 
2.3%
호스텔 23
 
1.8%
명동 18
 
1.4%
17
 
1.3%
hotel 16
 
1.3%
강남 16
 
1.3%
동대문 15
 
1.2%
앰배서더 14
 
1.1%
Other values (757) 938
73.6%
2024-04-30T03:49:56.389924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
646
 
10.7%
458
 
7.6%
451
 
7.5%
240
 
4.0%
143
 
2.4%
128
 
2.1%
107
 
1.8%
100
 
1.7%
91
 
1.5%
89
 
1.5%
Other values (393) 3580
59.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4374
72.5%
Space Separator 646
 
10.7%
Uppercase Letter 484
 
8.0%
Lowercase Letter 260
 
4.3%
Close Punctuation 83
 
1.4%
Open Punctuation 83
 
1.4%
Decimal Number 82
 
1.4%
Other Punctuation 12
 
0.2%
Dash Punctuation 6
 
0.1%
Letter Number 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
458
 
10.5%
451
 
10.3%
240
 
5.5%
143
 
3.3%
128
 
2.9%
107
 
2.4%
100
 
2.3%
91
 
2.1%
89
 
2.0%
87
 
2.0%
Other values (326) 2480
56.7%
Uppercase Letter
ValueCountFrequency (%)
E 50
 
10.3%
O 49
 
10.1%
H 36
 
7.4%
L 36
 
7.4%
S 33
 
6.8%
A 33
 
6.8%
N 31
 
6.4%
T 27
 
5.6%
I 25
 
5.2%
R 20
 
4.1%
Other values (16) 144
29.8%
Lowercase Letter
ValueCountFrequency (%)
e 39
15.0%
o 35
13.5%
l 29
11.2%
t 24
9.2%
a 19
7.3%
r 16
 
6.2%
i 14
 
5.4%
u 13
 
5.0%
n 13
 
5.0%
s 12
 
4.6%
Other values (12) 46
17.7%
Decimal Number
ValueCountFrequency (%)
2 23
28.0%
4 11
13.4%
1 10
12.2%
5 9
 
11.0%
7 8
 
9.8%
3 8
 
9.8%
8 4
 
4.9%
0 4
 
4.9%
9 3
 
3.7%
6 2
 
2.4%
Close Punctuation
ValueCountFrequency (%)
) 82
98.8%
] 1
 
1.2%
Open Punctuation
ValueCountFrequency (%)
( 82
98.8%
[ 1
 
1.2%
Other Punctuation
ValueCountFrequency (%)
. 11
91.7%
, 1
 
8.3%
Space Separator
ValueCountFrequency (%)
646
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Letter Number
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4372
72.5%
Common 912
 
15.1%
Latin 747
 
12.4%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
458
 
10.5%
451
 
10.3%
240
 
5.5%
143
 
3.3%
128
 
2.9%
107
 
2.4%
100
 
2.3%
91
 
2.1%
89
 
2.0%
87
 
2.0%
Other values (324) 2478
56.7%
Latin
ValueCountFrequency (%)
E 50
 
6.7%
O 49
 
6.6%
e 39
 
5.2%
H 36
 
4.8%
L 36
 
4.8%
o 35
 
4.7%
S 33
 
4.4%
A 33
 
4.4%
N 31
 
4.1%
l 29
 
3.9%
Other values (39) 376
50.3%
Common
ValueCountFrequency (%)
646
70.8%
) 82
 
9.0%
( 82
 
9.0%
2 23
 
2.5%
. 11
 
1.2%
4 11
 
1.2%
1 10
 
1.1%
5 9
 
1.0%
7 8
 
0.9%
3 8
 
0.9%
Other values (8) 22
 
2.4%
Han
ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4372
72.5%
ASCII 1656
 
27.4%
Number Forms 3
 
< 0.1%
CJK 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
646
39.0%
) 82
 
5.0%
( 82
 
5.0%
E 50
 
3.0%
O 49
 
3.0%
e 39
 
2.4%
H 36
 
2.2%
L 36
 
2.2%
o 35
 
2.1%
S 33
 
2.0%
Other values (56) 568
34.3%
Hangul
ValueCountFrequency (%)
458
 
10.5%
451
 
10.3%
240
 
5.5%
143
 
3.3%
128
 
2.9%
107
 
2.4%
100
 
2.3%
91
 
2.1%
89
 
2.0%
87
 
2.0%
Other values (324) 2478
56.7%
Number Forms
ValueCountFrequency (%)
3
100.0%
CJK
ValueCountFrequency (%)
1
50.0%
1
50.0%

최종수정일자
Date

UNIQUE 

Distinct630
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
Minimum2003-04-18 15:28:39
Maximum2024-04-22 15:53:57
2024-04-30T03:49:56.511192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:49:56.627913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
U
525 
I
105 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 525
83.3%
I 105
 
16.7%

Length

2024-04-30T03:49:56.742954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:49:56.829267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 525
83.3%
i 105
 
16.7%
Distinct292
Distinct (%)46.3%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:07:00
2024-04-30T03:49:56.914442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:49:57.031870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing630
Missing (%)100.0%
Memory size5.7 KiB

좌표정보(X)
Real number (ℝ)

Distinct572
Distinct (%)91.7%
Missing6
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean198375
Minimum182524.82
Maximum212181.32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.7 KiB
2024-04-30T03:49:57.155086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum182524.82
5-th percentile187930.06
Q1193321.89
median198989.59
Q3202550.53
95-th percentile208535.51
Maximum212181.32
Range29656.5
Interquartile range (IQR)9228.6409

Descriptive statistics

Standard deviation6089.3106
Coefficient of variation (CV)0.030695957
Kurtosis-0.3802874
Mean198375
Median Absolute Deviation (MAD)4470.0159
Skewness-0.2010128
Sum1.23786 × 108
Variance37079704
MonotonicityNot monotonic
2024-04-30T03:49:57.289339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
193321.88651945 7
 
1.1%
193019.645823279 7
 
1.1%
192165.93453037 5
 
0.8%
196610.663839509 4
 
0.6%
201649.840328936 4
 
0.6%
183993.393147385 3
 
0.5%
183863.692502412 3
 
0.5%
197867.156641113 2
 
0.3%
198260.880732247 2
 
0.3%
198614.550199488 2
 
0.3%
Other values (562) 585
92.9%
(Missing) 6
 
1.0%
ValueCountFrequency (%)
182524.823835629 1
 
0.2%
183171.101582153 1
 
0.2%
183529.005183547 1
 
0.2%
183863.692502412 3
0.5%
183962.828662192 1
 
0.2%
183993.393147385 3
0.5%
184029.320078984 1
 
0.2%
184496.437996802 1
 
0.2%
185307.072104229 1
 
0.2%
185377.0 1
 
0.2%
ValueCountFrequency (%)
212181.323549608 1
0.2%
212136.45903212 1
0.2%
212025.713738228 1
0.2%
211855.041782136 1
0.2%
211729.922597656 1
0.2%
211302.314479117 1
0.2%
210981.596844031 1
0.2%
210868.397496689 1
0.2%
210857.025715606 1
0.2%
210664.369854452 1
0.2%

좌표정보(Y)
Real number (ℝ)

Distinct572
Distinct (%)91.7%
Missing6
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean448911.81
Minimum438520.18
Maximum464745.31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.7 KiB
2024-04-30T03:49:57.422907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum438520.18
5-th percentile442340.31
Q1445918.26
median449605.87
Q3451377.78
95-th percentile454871.8
Maximum464745.31
Range26225.127
Interquartile range (IQR)5459.5198

Descriptive statistics

Standard deviation4035.2107
Coefficient of variation (CV)0.0089888717
Kurtosis0.71082976
Mean448911.81
Median Absolute Deviation (MAD)2571.3895
Skewness0.30334335
Sum2.8012097 × 108
Variance16282925
MonotonicityNot monotonic
2024-04-30T03:49:57.548311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
447552.076521358 7
 
1.1%
447560.162310375 7
 
1.1%
446508.000792709 5
 
0.8%
447742.348636253 4
 
0.6%
452323.368074798 4
 
0.6%
449605.865701793 3
 
0.5%
449443.610735042 3
 
0.5%
451779.880897566 2
 
0.3%
451708.909162308 2
 
0.3%
450677.047277743 2
 
0.3%
Other values (562) 585
92.9%
(Missing) 6
 
1.0%
ValueCountFrequency (%)
438520.182013694 1
0.2%
438953.867911208 1
0.2%
439885.941303087 1
0.2%
440300.104174246 1
0.2%
440511.561175378 1
0.2%
440593.5758415 1
0.2%
440974.712401628 1
0.2%
441016.561960417 1
0.2%
441065.665921744 1
0.2%
441092.525925225 1
0.2%
ValueCountFrequency (%)
464745.309206513 1
0.2%
462825.040991622 1
0.2%
462443.346065771 1
0.2%
462416.392839185 1
0.2%
461423.045063883 1
0.2%
461397.873903225 1
0.2%
460968.27605232 1
0.2%
460811.193026879 1
0.2%
460594.794065117 1
0.2%
460570.957809466 1
0.2%
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
<NA>
367 
관광숙박업
263 

Length

Max length5
Median length4
Mean length4.4174603
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 367
58.3%
관광숙박업 263
41.7%

Length

2024-04-30T03:49:57.675644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:49:57.761037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 367
58.3%
관광숙박업 263
41.7%
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
<NA>
536 
관광사업
94 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 536
85.1%
관광사업 94
 
14.9%

Length

2024-04-30T03:49:57.843750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:49:57.924874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 536
85.1%
관광사업 94
 
14.9%

지역구분명
Categorical

IMBALANCE 

Distinct9
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
<NA>
465 
일반상업지역
76 
일반주거지역
 
34
준공업지역
 
18
상업지역
 
17
Other values (4)
 
20

Length

Max length6
Median length4
Mean length4.415873
Min length4

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 465
73.8%
일반상업지역 76
 
12.1%
일반주거지역 34
 
5.4%
준공업지역 18
 
2.9%
상업지역 17
 
2.7%
준주거지역 12
 
1.9%
근린상업지역 5
 
0.8%
주거지역 2
 
0.3%
자연녹지지역 1
 
0.2%

Length

2024-04-30T03:49:58.013147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:49:58.109191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 465
73.8%
일반상업지역 76
 
12.1%
일반주거지역 34
 
5.4%
준공업지역 18
 
2.9%
상업지역 17
 
2.7%
준주거지역 12
 
1.9%
근린상업지역 5
 
0.8%
주거지역 2
 
0.3%
자연녹지지역 1
 
0.2%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct31
Distinct (%)13.7%
Missing403
Missing (%)64.0%
Infinite0
Infinite (%)0.0%
Mean11.167401
Minimum0
Maximum50
Zeros35
Zeros (%)5.6%
Negative0
Negative (%)0.0%
Memory size5.7 KiB
2024-04-30T03:49:58.213906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16
median10
Q315
95-th percentile24.7
Maximum50
Range50
Interquartile range (IQR)9

Descriptive statistics

Standard deviation8.1641453
Coefficient of variation (CV)0.73106942
Kurtosis2.2957471
Mean11.167401
Median Absolute Deviation (MAD)5
Skewness1.0058552
Sum2535
Variance66.653269
MonotonicityNot monotonic
2024-04-30T03:49:58.321607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
0 35
 
5.6%
9 19
 
3.0%
11 18
 
2.9%
10 13
 
2.1%
8 13
 
2.1%
12 12
 
1.9%
15 11
 
1.7%
5 11
 
1.7%
14 11
 
1.7%
18 9
 
1.4%
Other values (21) 75
 
11.9%
(Missing) 403
64.0%
ValueCountFrequency (%)
0 35
5.6%
1 1
 
0.2%
2 1
 
0.2%
3 2
 
0.3%
4 3
 
0.5%
5 11
 
1.7%
6 9
 
1.4%
7 8
 
1.3%
8 13
 
2.1%
9 19
3.0%
ValueCountFrequency (%)
50 1
 
0.2%
37 3
0.5%
32 1
 
0.2%
31 1
 
0.2%
28 2
 
0.3%
26 3
0.5%
25 1
 
0.2%
24 5
0.8%
23 1
 
0.2%
22 5
0.8%

주변환경명
Categorical

IMBALANCE 

Distinct7
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
<NA>
523 
기타
56 
학교정화(상대)
 
20
유흥업소밀집지역
 
18
주택가주변
 
10
Other values (2)
 
3

Length

Max length8
Median length4
Mean length4.0888889
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 523
83.0%
기타 56
 
8.9%
학교정화(상대) 20
 
3.2%
유흥업소밀집지역 18
 
2.9%
주택가주변 10
 
1.6%
아파트지역 2
 
0.3%
학교정화(절대) 1
 
0.2%

Length

2024-04-30T03:49:58.438080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:49:58.527717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 523
83.0%
기타 56
 
8.9%
학교정화(상대 20
 
3.2%
유흥업소밀집지역 18
 
2.9%
주택가주변 10
 
1.6%
아파트지역 2
 
0.3%
학교정화(절대 1
 
0.2%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing630
Missing (%)100.0%
Memory size5.7 KiB

보험기관명
Text

MISSING 

Distinct39
Distinct (%)86.7%
Missing585
Missing (%)92.9%
Memory size5.1 KiB
2024-04-30T03:49:58.712152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length13
Mean length6.8222222
Min length2

Characters and Unicode

Total characters307
Distinct characters64
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique36 ?
Unique (%)80.0%

Sample

1st row3성
2nd row객실수 50
3rd rowKB손해보험
4th row현대해상
5th row3성
ValueCountFrequency (%)
삼성화재 4
 
7.7%
객실수 4
 
7.7%
3성 3
 
5.8%
db손해보험 2
 
3.8%
현대해상 2
 
3.8%
274 1
 
1.9%
현대해상(특수건물 1
 
1.9%
롯데손보(특수건물 1
 
1.9%
27실 1
 
1.9%
372실 1
 
1.9%
Other values (32) 32
61.5%
2024-04-30T03:49:59.010506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
20
 
6.5%
18
 
5.9%
16
 
5.2%
15
 
4.9%
14
 
4.6%
11
 
3.6%
11
 
3.6%
11
 
3.6%
2 11
 
3.6%
3 9
 
2.9%
Other values (54) 171
55.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 209
68.1%
Decimal Number 63
 
20.5%
Uppercase Letter 10
 
3.3%
Space Separator 7
 
2.3%
Open Punctuation 7
 
2.3%
Close Punctuation 7
 
2.3%
Other Punctuation 3
 
1.0%
Math Symbol 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
20
 
9.6%
18
 
8.6%
16
 
7.7%
15
 
7.2%
14
 
6.7%
11
 
5.3%
11
 
5.3%
11
 
5.3%
8
 
3.8%
7
 
3.3%
Other values (36) 78
37.3%
Decimal Number
ValueCountFrequency (%)
2 11
17.5%
3 9
14.3%
4 9
14.3%
1 7
11.1%
0 6
9.5%
8 6
9.5%
7 5
7.9%
9 5
7.9%
5 3
 
4.8%
6 2
 
3.2%
Uppercase Letter
ValueCountFrequency (%)
B 5
50.0%
D 3
30.0%
K 2
 
20.0%
Space Separator
ValueCountFrequency (%)
7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 209
68.1%
Common 88
28.7%
Latin 10
 
3.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
20
 
9.6%
18
 
8.6%
16
 
7.7%
15
 
7.2%
14
 
6.7%
11
 
5.3%
11
 
5.3%
11
 
5.3%
8
 
3.8%
7
 
3.3%
Other values (36) 78
37.3%
Common
ValueCountFrequency (%)
2 11
12.5%
3 9
10.2%
4 9
10.2%
7
8.0%
( 7
8.0%
1 7
8.0%
) 7
8.0%
0 6
6.8%
8 6
6.8%
7 5
 
5.7%
Other values (5) 14
15.9%
Latin
ValueCountFrequency (%)
B 5
50.0%
D 3
30.0%
K 2
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 209
68.1%
ASCII 98
31.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
20
 
9.6%
18
 
8.6%
16
 
7.7%
15
 
7.2%
14
 
6.7%
11
 
5.3%
11
 
5.3%
11
 
5.3%
8
 
3.8%
7
 
3.3%
Other values (36) 78
37.3%
ASCII
ValueCountFrequency (%)
2 11
11.2%
3 9
 
9.2%
4 9
 
9.2%
7
 
7.1%
( 7
 
7.1%
1 7
 
7.1%
) 7
 
7.1%
0 6
 
6.1%
8 6
 
6.1%
7 5
 
5.1%
Other values (8) 24
24.5%

건물용도명
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
<NA>
478 
숙박시설
74 
호텔
72 
근린생활시설
 
4
기타
 
1

Length

Max length6
Median length4
Mean length3.7809524
Min length2

Unique

Unique2 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 478
75.9%
숙박시설 74
 
11.7%
호텔 72
 
11.4%
근린생활시설 4
 
0.6%
기타 1
 
0.2%
문화시설 1
 
0.2%

Length

2024-04-30T03:49:59.138334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:49:59.252851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 478
75.9%
숙박시설 74
 
11.7%
호텔 72
 
11.4%
근린생활시설 4
 
0.6%
기타 1
 
0.2%
문화시설 1
 
0.2%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct28
Distinct (%)11.8%
Missing393
Missing (%)62.4%
Infinite0
Infinite (%)0.0%
Mean12.877637
Minimum0
Maximum710
Zeros29
Zeros (%)4.6%
Negative0
Negative (%)0.0%
Memory size5.7 KiB
2024-04-30T03:49:59.368014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16
median9
Q314
95-th percentile20.4
Maximum710
Range710
Interquartile range (IQR)8

Descriptive statistics

Standard deviation45.969751
Coefficient of variation (CV)3.5697349
Kurtosis226.83106
Mean12.877637
Median Absolute Deviation (MAD)4
Skewness14.902176
Sum3052
Variance2113.218
MonotonicityNot monotonic
2024-04-30T03:49:59.470943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0 29
 
4.6%
8 24
 
3.8%
10 21
 
3.3%
7 18
 
2.9%
9 17
 
2.7%
5 17
 
2.7%
13 14
 
2.2%
15 13
 
2.1%
14 12
 
1.9%
12 10
 
1.6%
Other values (18) 62
 
9.8%
(Missing) 393
62.4%
ValueCountFrequency (%)
0 29
4.6%
1 2
 
0.3%
3 1
 
0.2%
4 6
 
1.0%
5 17
2.7%
6 10
 
1.6%
7 18
2.9%
8 24
3.8%
9 17
2.7%
10 21
3.3%
ValueCountFrequency (%)
710 1
 
0.2%
42 1
 
0.2%
33 1
 
0.2%
32 3
0.5%
26 1
 
0.2%
25 1
 
0.2%
24 3
0.5%
22 1
 
0.2%
20 6
1.0%
19 5
0.8%

지하층수
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)3.9%
Missing397
Missing (%)63.0%
Infinite0
Infinite (%)0.0%
Mean1.9742489
Minimum0
Maximum8
Zeros32
Zeros (%)5.1%
Negative0
Negative (%)0.0%
Memory size5.7 KiB
2024-04-30T03:49:59.559386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile5
Maximum8
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.5561966
Coefficient of variation (CV)0.7882474
Kurtosis0.87312964
Mean1.9742489
Median Absolute Deviation (MAD)1
Skewness1.0260388
Sum460
Variance2.4217478
MonotonicityNot monotonic
2024-04-30T03:49:59.664806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 76
 
12.1%
2 59
 
9.4%
0 32
 
5.1%
3 29
 
4.6%
5 16
 
2.5%
4 15
 
2.4%
6 4
 
0.6%
8 1
 
0.2%
7 1
 
0.2%
(Missing) 397
63.0%
ValueCountFrequency (%)
0 32
5.1%
1 76
12.1%
2 59
9.4%
3 29
 
4.6%
4 15
 
2.4%
5 16
 
2.5%
6 4
 
0.6%
7 1
 
0.2%
8 1
 
0.2%
ValueCountFrequency (%)
8 1
 
0.2%
7 1
 
0.2%
6 4
 
0.6%
5 16
 
2.5%
4 15
 
2.4%
3 29
 
4.6%
2 59
9.4%
1 76
12.1%
0 32
5.1%

객실수
Real number (ℝ)

MISSING  ZEROS 

Distinct98
Distinct (%)50.8%
Missing437
Missing (%)69.4%
Infinite0
Infinite (%)0.0%
Mean83.207254
Minimum0
Maximum503
Zeros34
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size5.7 KiB
2024-04-30T03:49:59.773622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q121
median54
Q394
95-th percentile336
Maximum503
Range503
Interquartile range (IQR)73

Descriptive statistics

Standard deviation100.66492
Coefficient of variation (CV)1.2098094
Kurtosis3.9109057
Mean83.207254
Median Absolute Deviation (MAD)36
Skewness2.0291271
Sum16059
Variance10133.426
MonotonicityNot monotonic
2024-04-30T03:49:59.909124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 34
 
5.4%
54 5
 
0.8%
60 5
 
0.8%
40 4
 
0.6%
68 4
 
0.6%
36 4
 
0.6%
20 4
 
0.6%
49 4
 
0.6%
71 3
 
0.5%
27 3
 
0.5%
Other values (88) 123
 
19.5%
(Missing) 437
69.4%
ValueCountFrequency (%)
0 34
5.4%
1 1
 
0.2%
8 2
 
0.3%
9 3
 
0.5%
14 1
 
0.2%
15 1
 
0.2%
18 1
 
0.2%
20 4
 
0.6%
21 3
 
0.5%
22 2
 
0.3%
ValueCountFrequency (%)
503 1
0.2%
472 1
0.2%
403 1
0.2%
397 1
0.2%
383 1
0.2%
379 1
0.2%
378 1
0.2%
372 1
0.2%
341 1
0.2%
336 2
0.3%

건축연면적
Real number (ℝ)

MISSING  ZEROS 

Distinct101
Distinct (%)67.3%
Missing480
Missing (%)76.2%
Infinite0
Infinite (%)0.0%
Mean7925.98
Minimum0
Maximum211333
Zeros48
Zeros (%)7.6%
Negative0
Negative (%)0.0%
Memory size5.7 KiB
2024-04-30T03:50:00.247602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median994.5
Q34836
95-th percentile30682.3
Maximum211333
Range211333
Interquartile range (IQR)4836

Descriptive statistics

Standard deviation22784.186
Coefficient of variation (CV)2.8746207
Kurtosis45.59461
Mean7925.98
Median Absolute Deviation (MAD)994.5
Skewness6.0303052
Sum1188897
Variance5.1911913 × 108
MonotonicityNot monotonic
2024-04-30T03:50:00.349500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 48
 
7.6%
97496 2
 
0.3%
2017 2
 
0.3%
448 1
 
0.2%
31162 1
 
0.2%
996 1
 
0.2%
745 1
 
0.2%
3620 1
 
0.2%
1735 1
 
0.2%
2995 1
 
0.2%
Other values (91) 91
 
14.4%
(Missing) 480
76.2%
ValueCountFrequency (%)
0 48
7.6%
62 1
 
0.2%
171 1
 
0.2%
236 1
 
0.2%
278 1
 
0.2%
341 1
 
0.2%
345 1
 
0.2%
421 1
 
0.2%
425 1
 
0.2%
448 1
 
0.2%
ValueCountFrequency (%)
211333 1
0.2%
97496 2
0.3%
72742 1
0.2%
60567 1
0.2%
55869 1
0.2%
52653 1
0.2%
31162 1
0.2%
30096 1
0.2%
29332 1
0.2%
26504 1
0.2%

영문상호명
Text

MISSING 

Distinct77
Distinct (%)100.0%
Missing553
Missing (%)87.8%
Memory size5.1 KiB
2024-04-30T03:50:00.598204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length77
Median length34
Mean length18.818182
Min length5

Characters and Unicode

Total characters1449
Distinct characters61
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

Unique77 ?
Unique (%)100.0%

Sample

1st rowHostel STAY NOW
2nd rowBAITON HOTEL
3rd rowMAI TOURIST HOTEL
4th rowKIM HAK NOH
5th rowGogoong Hotel
ValueCountFrequency (%)
hotel 46
 
19.6%
seoul 14
 
6.0%
hostel 8
 
3.4%
the 6
 
2.6%
tourist 5
 
2.1%
ltd 5
 
2.1%
co 4
 
1.7%
stay 4
 
1.7%
3
 
1.3%
k 3
 
1.3%
Other values (123) 137
58.3%
2024-04-30T03:50:01.000855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
158
 
10.9%
E 78
 
5.4%
o 76
 
5.2%
e 75
 
5.2%
H 74
 
5.1%
T 71
 
4.9%
O 68
 
4.7%
L 66
 
4.6%
S 54
 
3.7%
l 49
 
3.4%
Other values (51) 680
46.9%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 713
49.2%
Lowercase Letter 552
38.1%
Space Separator 158
 
10.9%
Other Punctuation 16
 
1.1%
Open Punctuation 3
 
0.2%
Close Punctuation 3
 
0.2%
Decimal Number 3
 
0.2%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
E 78
10.9%
H 74
10.4%
T 71
10.0%
O 68
9.5%
L 66
9.3%
S 54
 
7.6%
A 45
 
6.3%
I 43
 
6.0%
R 31
 
4.3%
N 30
 
4.2%
Other values (15) 153
21.5%
Lowercase Letter
ValueCountFrequency (%)
o 76
13.8%
e 75
13.6%
l 49
8.9%
a 46
8.3%
t 45
8.2%
n 39
 
7.1%
i 33
 
6.0%
s 33
 
6.0%
r 26
 
4.7%
u 24
 
4.3%
Other values (15) 106
19.2%
Other Punctuation
ValueCountFrequency (%)
. 8
50.0%
, 4
25.0%
& 3
 
18.8%
' 1
 
6.2%
Decimal Number
ValueCountFrequency (%)
2 1
33.3%
7 1
33.3%
9 1
33.3%
Space Separator
ValueCountFrequency (%)
158
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1265
87.3%
Common 184
 
12.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
E 78
 
6.2%
o 76
 
6.0%
e 75
 
5.9%
H 74
 
5.8%
T 71
 
5.6%
O 68
 
5.4%
L 66
 
5.2%
S 54
 
4.3%
l 49
 
3.9%
a 46
 
3.6%
Other values (40) 608
48.1%
Common
ValueCountFrequency (%)
158
85.9%
. 8
 
4.3%
, 4
 
2.2%
& 3
 
1.6%
( 3
 
1.6%
) 3
 
1.6%
2 1
 
0.5%
7 1
 
0.5%
' 1
 
0.5%
- 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1449
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
158
 
10.9%
E 78
 
5.4%
o 76
 
5.2%
e 75
 
5.2%
H 74
 
5.1%
T 71
 
4.9%
O 68
 
4.7%
L 66
 
4.6%
S 54
 
3.7%
l 49
 
3.4%
Other values (51) 680
46.9%

영문상호주소
Categorical

IMBALANCE 

Distinct24
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
<NA>
555 
TOURIST HOTEL
 
15
Tourist Hotel
 
15
Tourist Accommodation Business
 
6
TOURIST ACCOMMODATION(TOURIST HOTEL)
 
6
Other values (19)
 
33

Length

Max length53
Median length4
Mean length6.115873
Min length4

Unique

Unique11 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 555
88.1%
TOURIST HOTEL 15
 
2.4%
Tourist Hotel 15
 
2.4%
Tourist Accommodation Business 6
 
1.0%
TOURIST ACCOMMODATION(TOURIST HOTEL) 6
 
1.0%
Hostel 5
 
0.8%
TOURIST HOTEL BUSINESS 4
 
0.6%
Tourist Accommodation Business(Hostel) 3
 
0.5%
HOSTEL 2
 
0.3%
Tourist Accomodation Business(Hostel) 2
 
0.3%
Other values (14) 17
 
2.7%

Length

2024-04-30T03:50:01.146304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 555
74.7%
tourist 60
 
8.1%
hotel 48
 
6.5%
accommodation 15
 
2.0%
business 15
 
2.0%
hostel 12
 
1.6%
accommodation(tourist 6
 
0.8%
accomodation 6
 
0.8%
the 5
 
0.7%
business(hostel 5
 
0.7%
Other values (8) 16
 
2.2%

선박총톤수
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
<NA>
555 
0
75 

Length

Max length4
Median length4
Mean length3.6428571
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> 555
88.1%
0 75
 
11.9%

Length

2024-04-30T03:50:01.262034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:50:01.345734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 555
88.1%
0 75
 
11.9%

선박척수
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
<NA>
555 
0
75 

Length

Max length4
Median length4
Mean length3.6428571
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> 555
88.1%
0 75
 
11.9%

Length

2024-04-30T03:50:01.438845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:50:01.527392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 555
88.1%
0 75
 
11.9%

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing630
Missing (%)100.0%
Memory size5.7 KiB

무대면적
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
<NA>
555 
0
75 

Length

Max length4
Median length4
Mean length3.6428571
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> 555
88.1%
0 75
 
11.9%

Length

2024-04-30T03:50:01.631041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:50:01.723732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 555
88.1%
0 75
 
11.9%

좌석수
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
<NA>
555 
0
75 

Length

Max length4
Median length4
Mean length3.6428571
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> 555
88.1%
0 75
 
11.9%

Length

2024-04-30T03:50:01.816677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:50:01.896539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 555
88.1%
0 75
 
11.9%

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing630
Missing (%)100.0%
Memory size5.7 KiB
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
<NA>
555 
0
75 

Length

Max length4
Median length4
Mean length3.6428571
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> 555
88.1%
0 75
 
11.9%

Length

2024-04-30T03:50:01.983274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:50:02.066168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 555
88.1%
0 75
 
11.9%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct213
Distinct (%)91.0%
Missing396
Missing (%)62.9%
Infinite0
Infinite (%)0.0%
Mean9062.5799
Minimum0
Maximum229988.69
Zeros19
Zeros (%)3.0%
Negative0
Negative (%)0.0%
Memory size5.7 KiB
2024-04-30T03:50:02.160652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1983.7025
median3231.83
Q36656.445
95-th percentile36117.301
Maximum229988.69
Range229988.69
Interquartile range (IQR)5672.7425

Descriptive statistics

Standard deviation21755.81
Coefficient of variation (CV)2.4006199
Kurtosis51.852679
Mean9062.5799
Median Absolute Deviation (MAD)2519.37
Skewness6.3054137
Sum2120643.7
Variance4.7331525 × 108
MonotonicityNot monotonic
2024-04-30T03:50:02.281472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 19
 
3.0%
1504.56 2
 
0.3%
74200.51 2
 
0.3%
6313.74 2
 
0.3%
2994.57 1
 
0.2%
938.98 1
 
0.2%
393.67 1
 
0.2%
490.75 1
 
0.2%
1574.46 1
 
0.2%
1252.4 1
 
0.2%
Other values (203) 203
32.2%
(Missing) 396
62.9%
ValueCountFrequency (%)
0.0 19
3.0%
72.56 1
 
0.2%
211.57 1
 
0.2%
234.71 1
 
0.2%
235.14 1
 
0.2%
247.91 1
 
0.2%
259.27 1
 
0.2%
278.43 1
 
0.2%
290.65 1
 
0.2%
290.82 1
 
0.2%
ValueCountFrequency (%)
229988.69 1
0.2%
128324.19 1
0.2%
116496.85 1
0.2%
74200.51 2
0.3%
72205.69 1
0.2%
60566.75 1
0.2%
55868.53 1
0.2%
52653.0 1
0.2%
52135.75 1
0.2%
41813.27 1
0.2%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing630
Missing (%)100.0%
Memory size5.7 KiB

놀이시설수
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
<NA>
555 
0
75 

Length

Max length4
Median length4
Mean length3.6428571
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> 555
88.1%
0 75
 
11.9%

Length

2024-04-30T03:50:02.400767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:50:02.481852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 555
88.1%
0 75
 
11.9%

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing630
Missing (%)100.0%
Memory size5.7 KiB

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing630
Missing (%)100.0%
Memory size5.7 KiB

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing630
Missing (%)100.0%
Memory size5.7 KiB

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing630
Missing (%)100.0%
Memory size5.7 KiB

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing630
Missing (%)100.0%
Memory size5.7 KiB

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing630
Missing (%)100.0%
Memory size5.7 KiB

자본금
Real number (ℝ)

MISSING  ZEROS 

Distinct66
Distinct (%)44.6%
Missing482
Missing (%)76.5%
Infinite0
Infinite (%)0.0%
Mean1.0830002 × 1010
Minimum0
Maximum9.89 × 1011
Zeros56
Zeros (%)8.9%
Negative0
Negative (%)0.0%
Memory size5.7 KiB
2024-04-30T03:50:02.575197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3.05 × 108
Q33.067475 × 109
95-th percentile1.902 × 1010
Maximum9.89 × 1011
Range9.89 × 1011
Interquartile range (IQR)3.067475 × 109

Descriptive statistics

Standard deviation8.1652453 × 1010
Coefficient of variation (CV)7.5394682
Kurtosis142.89039
Mean1.0830002 × 1010
Median Absolute Deviation (MAD)3.05 × 108
Skewness11.862529
Sum1.6028402 × 1012
Variance6.667123 × 1021
MonotonicityNot monotonic
2024-04-30T03:50:02.709163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 56
 
8.9%
1000000000 6
 
1.0%
3000000000 5
 
0.8%
500000000 4
 
0.6%
300000000 4
 
0.6%
2000000000 3
 
0.5%
100000000 3
 
0.5%
12000000000 3
 
0.5%
79200000000 2
 
0.3%
8000000000 2
 
0.3%
Other values (56) 60
 
9.5%
(Missing) 482
76.5%
ValueCountFrequency (%)
0 56
8.9%
51 1
 
0.2%
30000000 2
 
0.3%
50000000 1
 
0.2%
70000000 1
 
0.2%
100000000 3
 
0.5%
110000000 1
 
0.2%
150000000 1
 
0.2%
200000000 2
 
0.3%
220000000 2
 
0.3%
ValueCountFrequency (%)
989000000000 1
0.2%
79200000000 2
0.3%
36000000000 1
0.2%
28857225000 1
0.2%
25000000000 1
0.2%
20000000000 1
0.2%
19300000000 1
0.2%
18500000000 1
0.2%
18000000000 1
0.2%
17992000000 1
0.2%

보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing630
Missing (%)100.0%
Memory size5.7 KiB

보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing630
Missing (%)100.0%
Memory size5.7 KiB

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing630
Missing (%)100.0%
Memory size5.7 KiB

시설규모
Real number (ℝ)

MISSING  ZEROS 

Distinct209
Distinct (%)89.3%
Missing396
Missing (%)62.9%
Infinite0
Infinite (%)0.0%
Mean9062.6325
Minimum0
Maximum229989
Zeros19
Zeros (%)3.0%
Negative0
Negative (%)0.0%
Memory size5.7 KiB
2024-04-30T03:50:02.848581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1984
median3232
Q36656
95-th percentile36117.6
Maximum229989
Range229989
Interquartile range (IQR)5672

Descriptive statistics

Standard deviation21755.846
Coefficient of variation (CV)2.4006099
Kurtosis51.852541
Mean9062.6325
Median Absolute Deviation (MAD)2519.5
Skewness6.3054035
Sum2120656
Variance4.7331682 × 108
MonotonicityNot monotonic
2024-04-30T03:50:02.964080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 19
 
3.0%
74201 2
 
0.3%
291 2
 
0.3%
1505 2
 
0.3%
2773 2
 
0.3%
3784 2
 
0.3%
6314 2
 
0.3%
235 2
 
0.3%
18501 1
 
0.2%
3620 1
 
0.2%
Other values (199) 199
31.6%
(Missing) 396
62.9%
ValueCountFrequency (%)
0 19
3.0%
73 1
 
0.2%
212 1
 
0.2%
235 2
 
0.3%
248 1
 
0.2%
259 1
 
0.2%
278 1
 
0.2%
291 2
 
0.3%
349 1
 
0.2%
364 1
 
0.2%
ValueCountFrequency (%)
229989 1
0.2%
128324 1
0.2%
116497 1
0.2%
74201 2
0.3%
72206 1
0.2%
60567 1
0.2%
55869 1
0.2%
52653 1
0.2%
52136 1
0.2%
41813 1
0.2%
Distinct5
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
<NA>
437 
관광호텔업
134 
호스텔업
48 
가족호텔업
 
8
소형호텔업
 
3

Length

Max length5
Median length4
Mean length4.2301587
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 437
69.4%
관광호텔업 134
 
21.3%
호스텔업 48
 
7.6%
가족호텔업 8
 
1.3%
소형호텔업 3
 
0.5%

Length

2024-04-30T03:50:03.094082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:50:03.199641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 437
69.4%
관광호텔업 134
 
21.3%
호스텔업 48
 
7.6%
가족호텔업 8
 
1.3%
소형호텔업 3
 
0.5%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모관광숙박업상세명
03220000CDFI22600320150000012015-02-03<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2058-1000<NA>135-964서울특별시 강남구 개포동 1229-14서울특별시 강남구 논현로 66 (개포동)06307호텔 데님(Hotel Denim)2023-03-27 09:56:49U2022-12-02 22:09:00.0<NA>204053.596301441557.179656<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13010000CDFI22600320160000082016-05-17<NA>3폐업3폐업2023-02-28<NA><NA><NA>2283-3000<NA><NA>서울특별시 중구 회현동1가 194-15서울특별시 중구 퇴계로 52 (회현동1가, 인송빌딩)04634티마크그랜드호텔명동2023-02-28 09:40:42U2022-12-03 00:03:00.0<NA>198043.635511450686.849957<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23170000CDFI22600320210000012021-04-06<NA>1영업/정상13영업중<NA><NA><NA><NA>02-856-0933<NA><NA>서울특별시 금천구 독산동 335-21서울특별시 금천구 가산로3길 103 (독산동)08526위너스2023-12-19 17:54:40U2022-11-01 22:01:00.0<NA>190183.499829441092.525925<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33010000CDFI22600320160000062016-05-02<NA>1영업/정상13영업중<NA><NA><NA><NA>2211-8011<NA><NA>서울특별시 중구 남대문로4가 17-23서울특별시 중구 남대문로 9 (남대문로4가, 남대문호텔)04526코트야드 메리어트 남대문호텔2024-02-14 13:32:03U2023-12-01 23:06:00.0<NA>197891.564897450990.593466<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43010000CDFI22600320160000032016-02-19<NA>1영업/정상13영업중<NA><NA><NA><NA>2276-3500<NA><NA>서울특별시 중구 을지로5가 275-3서울특별시 중구 동호로 354 (을지로5가, 극동 스타클래스)04561라마다서울동대문호텔(정광개발주식회사)2024-02-14 16:50:54U2023-12-01 23:06:00.0<NA>200161.192418451521.415517<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53220000CDFI22600320160000052016-03-29<NA>2휴업2휴업<NA>2024-01-012024-12-31<NA>02-6474-1530<NA><NA>서울특별시 강남구 논현동 205-8서울특별시 강남구 봉은사로 143 (논현동, 운현오피스텔)06122강남패밀리호텔2023-12-29 15:35:09U2022-11-01 21:01:00.0<NA>202596.666692444917.728061<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63020000CDFI22600320170000032017-09-29<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2223-7522<NA><NA>서울특별시 용산구 한강로3가 40-969 서울드래곤시티서울특별시 용산구 청파로20길 95, 서울드래곤시티 (한강로3가)04372(주)서부티엔디 이비스 스타일 앰배서더 서울 용산2023-05-25 10:42:21U2022-12-04 22:07:00.0<NA>196610.66384447742.348636<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73010000CDFI22600320200000032020-09-10<NA>1영업/정상13영업중<NA><NA><NA><NA>0507-1331-2598<NA><NA>서울특별시 중구 회현동1가 100-104서울특별시 중구 퇴계로8길 93 (회현동1가)04633남산스토리 나인2024-02-20 09:53:15U2023-12-01 22:02:00.0<NA>198229.100382450386.973759<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83180000CDFI22600320210000032021-12-20<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 양평동1가 136서울특별시 영등포구 선유로23길 4 (양평동1가)07272ROJIN(로진)2023-03-09 13:45:10U2022-12-02 23:01:00.0<NA>190171.844796446760.131274<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93220000CDFI22600320220000022022-06-16<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6742-1565<NA><NA>서울특별시 강남구 논현동 74-6서울특별시 강남구 논현로 734 (논현동)06049아난티 앳 강남2023-07-25 16:07:38U2022-12-06 22:07:00.0<NA>202545.820551446151.727131<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모관광숙박업상세명
6203230000CDFI226003201200000120121211<NA>1영업/정상13영업중<NA><NA><NA><NA>02-417-2700<NA><NA>서울특별시 송파구 잠실동 180번지서울특별시 송파구 올림픽로10길 5 (잠실동, 파로스관광호텔)05557(주)파로스 관광호텔2020-02-14 15:51:59U2020-02-16 02:40:00.0<NA>207106.032236445432.484078관광숙박업<NA>상업지역19아파트지역<NA><NA>숙박시설145524486<NA><NA><NA><NA><NA><NA><NA><NA><NA>4485.52<NA><NA><NA><NA><NA><NA><NA><NA>17992000000<NA><NA><NA>4486관광호텔업
6213230000CDFI226003201600000120160719<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6949-1000<NA><NA>서울특별시 송파구 삼전동 47 2층 부분서울특별시 송파구 백제고분로22길 5, 2층 (삼전동, 한강빌딩)0558224게스트하우스(서울 잠실점)2022-07-11 14:35:53U2021-12-06 23:03:00.0<NA>207835.82042444569.108631<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
6223230000CDFI226003202100000120210622<NA>1영업/정상13영업중<NA><NA><NA><NA>02-412-2220<NA><NA>서울특별시 송파구 방이동 36-2서울특별시 송파구 올림픽로32길 7-1 (방이동)05543호텔 더 캐슬(방이2)2022-07-18 09:49:10U2021-12-06 22:00:00.0<NA>209577.22506445907.610177<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
6233240000CDFI226003201000000120101118<NA>3폐업3폐업20190819<NA><NA><NA>470-2851,4<NA>134813서울특별시 강동구 길동 388-2번지서울특별시 강동구 천중로42길 75 (길동)<NA>투비인관광호텔2019-08-19 16:55:28U2019-08-21 02:40:00.0<NA>212181.32355448385.909584관광숙박업<NA>일반상업지역<NA>유흥업소밀집지역<NA><NA>호텔82926060Two Bin Tourist HotelTourist Hotel<NA><NA><NA><NA><NA><NA><NA>6059.51<NA><NA><NA><NA><NA><NA><NA><NA>1320000000<NA><NA><NA>6060<NA>
6243240000CDFI22600320030000012003-01-28<NA>1영업/정상13영업중<NA><NA><NA><NA>488-5911<NA>134-845서울특별시 강동구 성내동 417-5서울특별시 강동구 풍성로 210 (성내동)05404발리(BALI)2024-01-25 14:22:40U2023-11-30 22:07:00.0<NA>211855.041782447431.586849<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
6253050000CDFI22600320180000012018-12-28<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2241-8501<NA><NA>서울특별시 동대문구 답십리동 494-5서울특별시 동대문구 천호대로 291-1 (답십리동)02604SM부티크호텔2024-01-24 16:41:05U2023-11-30 22:06:00.0<NA>204662.341213451605.260723<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
6263010000CDFI22600320180000112018-11-20<NA>1영업/정상13영업중<NA><NA><NA><NA>2272-1045<NA><NA>서울특별시 중구 광희동2가 14-1서울특별시 중구 퇴계로 325 (광희동2가)04565토요코인 서울 동대문 Ⅱ2024-02-14 13:35:05U2023-12-01 23:06:00.0<NA>200625.524648451359.906142<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
6273240000CDFI22600320170000012017-12-26<NA>1영업/정상13영업중<NA><NA><NA><NA>474-7775<NA><NA>서울특별시 강동구 천호동 452-30서울특별시 강동구 천호대로159길 22-36 (천호동)05335호텔 감(HOTEL GAM)2024-01-25 14:24:10U2023-11-30 22:07:00.0<NA>211302.314479448470.034451<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
6283240000CDFI22600320140000012014-07-24<NA>1영업/정상13영업중<NA><NA><NA><NA>485-8525<NA>134-880서울특별시 강동구 길동 387-1서울특별시 강동구 천중로40길 63 (길동)05353하모니관광호텔2024-01-25 14:23:40U2023-11-30 22:07:00.0<NA>212136.459032448450.725351<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
6293240000CDFI22600320120000012012-09-07<NA>1영업/정상13영업중<NA><NA><NA><NA>478-2575<NA>134-868서울특별시 강동구 천호동 324-39 외3필지서울특별시 강동구 천중로 27 (천호동)05244바고관광호텔2024-01-25 14:23:08U2023-11-30 22:07:00.0<NA>210981.596844449282.085359<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>