Overview

Dataset statistics

Number of variables60
Number of observations62
Missing cells1529
Missing cells (%)41.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory31.6 KiB
Average record size in memory522.1 B

Variable types

Categorical22
Text7
DateTime5
Numeric8
Unsupported18

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-17473/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
소재지우편번호 has constant value ""Constant
인허가취소일자 is highly imbalanced (88.1%)Imbalance
폐업일자 has 33 (53.2%) missing valuesMissing
휴업시작일자 has 59 (95.2%) missing valuesMissing
휴업종료일자 has 59 (95.2%) missing valuesMissing
재개업일자 has 62 (100.0%) missing valuesMissing
전화번호 has 52 (83.9%) missing valuesMissing
소재지면적 has 62 (100.0%) missing valuesMissing
소재지우편번호 has 61 (98.4%) missing valuesMissing
도로명우편번호 has 3 (4.8%) missing valuesMissing
업태구분명 has 62 (100.0%) missing valuesMissing
문화사업자구분명 has 62 (100.0%) missing valuesMissing
총층수 has 33 (53.2%) missing valuesMissing
제작취급품목내용 has 62 (100.0%) missing valuesMissing
보험기관명 has 62 (100.0%) missing valuesMissing
지상층수 has 34 (54.8%) missing valuesMissing
영문상호명 has 33 (53.2%) missing valuesMissing
선박제원 has 62 (100.0%) missing valuesMissing
기념품종류 has 62 (100.0%) missing valuesMissing
시설면적 has 23 (37.1%) missing valuesMissing
놀이기구수내역 has 62 (100.0%) missing valuesMissing
방송시설유무 has 62 (100.0%) missing valuesMissing
발전시설유무 has 62 (100.0%) missing valuesMissing
의무실유무 has 62 (100.0%) missing valuesMissing
안내소유무 has 62 (100.0%) missing valuesMissing
기획여행보험시작일자 has 62 (100.0%) missing valuesMissing
기획여행보험종료일자 has 62 (100.0%) missing valuesMissing
보험시작일자 has 62 (100.0%) missing valuesMissing
보험종료일자 has 62 (100.0%) missing valuesMissing
부대시설내역 has 62 (100.0%) missing valuesMissing
시설규모 has 23 (37.1%) missing valuesMissing
관리번호 has unique valuesUnique
지번주소 has unique valuesUnique
사업장명 has unique valuesUnique
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
문화사업자구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제작취급품목내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
보험기관명 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 19 (30.6%) zerosZeros
지상층수 has 20 (32.3%) zerosZeros

Reproduction

Analysis started2024-05-11 07:05:42.741782
Analysis finished2024-05-11 07:05:43.520297
Duration0.78 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size628.0 B
3210000
62 

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 62
100.0%

Length

2024-05-11T16:05:43.595145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:05:43.727571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3210000 62
100.0%

관리번호
Text

UNIQUE 

Distinct62
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size628.0 B
2024-05-11T16:05:43.928197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1240
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

Unique62 ?
Unique (%)100.0%

Sample

1st rowCDFI2262212023000005
2nd rowCDFI2262212023000006
3rd rowCDFI2262212023000008
4th rowCDFI2262212023000007
5th rowCDFI2262212016000008
ValueCountFrequency (%)
cdfi2262212023000005 1
 
1.6%
cdfi2262212017000003 1
 
1.6%
cdfi2262212012000003 1
 
1.6%
cdfi2262212016000003 1
 
1.6%
cdfi2262212012000002 1
 
1.6%
cdfi2262212012000004 1
 
1.6%
cdfi2262212012000005 1
 
1.6%
cdfi2262212013000001 1
 
1.6%
cdfi2262212014000001 1
 
1.6%
cdfi2262212014000003 1
 
1.6%
Other values (52) 52
83.9%
2024-05-11T16:05:44.352022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 375
30.2%
2 347
28.0%
1 121
 
9.8%
6 77
 
6.2%
C 62
 
5.0%
D 62
 
5.0%
F 62
 
5.0%
I 62
 
5.0%
3 21
 
1.7%
4 19
 
1.5%
Other values (4) 32
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 992
80.0%
Uppercase Letter 248
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 375
37.8%
2 347
35.0%
1 121
 
12.2%
6 77
 
7.8%
3 21
 
2.1%
4 19
 
1.9%
5 12
 
1.2%
7 10
 
1.0%
8 6
 
0.6%
9 4
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
C 62
25.0%
D 62
25.0%
F 62
25.0%
I 62
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 992
80.0%
Latin 248
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 375
37.8%
2 347
35.0%
1 121
 
12.2%
6 77
 
7.8%
3 21
 
2.1%
4 19
 
1.9%
5 12
 
1.2%
7 10
 
1.0%
8 6
 
0.6%
9 4
 
0.4%
Latin
ValueCountFrequency (%)
C 62
25.0%
D 62
25.0%
F 62
25.0%
I 62
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1240
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 375
30.2%
2 347
28.0%
1 121
 
9.8%
6 77
 
6.2%
C 62
 
5.0%
D 62
 
5.0%
F 62
 
5.0%
I 62
 
5.0%
3 21
 
1.7%
4 19
 
1.5%
Other values (4) 32
 
2.6%

인허가일자
Date

Distinct58
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Memory size628.0 B
Minimum2012-08-02 00:00:00
Maximum2024-05-01 00:00:00
2024-05-11T16:05:44.550517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:05:44.727468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size628.0 B
<NA>
61 
20200629
 
1

Length

Max length8
Median length4
Mean length4.0645161
Min length4

Unique

Unique1 ?
Unique (%)1.6%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row20200629

Common Values

ValueCountFrequency (%)
<NA> 61
98.4%
20200629 1
 
1.6%

Length

2024-05-11T16:05:44.887605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:05:45.015238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 61
98.4%
20200629 1
 
1.6%

영업상태코드
Categorical

Distinct4
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size628.0 B
1
29 
3
29 
2
3 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.6%

Sample

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

Common Values

ValueCountFrequency (%)
1 29
46.8%
3 29
46.8%
2 3
 
4.8%
4 1
 
1.6%

Length

2024-05-11T16:05:45.124697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:05:45.245442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 29
46.8%
3 29
46.8%
2 3
 
4.8%
4 1
 
1.6%

영업상태명
Categorical

Distinct4
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size628.0 B
영업/정상
29 
폐업
29 
휴업
3 
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length2
Mean length3.5967742
Min length2

Unique

Unique1 ?
Unique (%)1.6%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 29
46.8%
폐업 29
46.8%
휴업 3
 
4.8%
취소/말소/만료/정지/중지 1
 
1.6%

Length

2024-05-11T16:05:45.377429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:05:45.499367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 29
46.8%
폐업 29
46.8%
휴업 3
 
4.8%
취소/말소/만료/정지/중지 1
 
1.6%

상세영업상태코드
Categorical

Distinct4
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size628.0 B
13
29 
3
29 
2
3 
31
 
1

Length

Max length2
Median length1
Mean length1.483871
Min length1

Unique

Unique1 ?
Unique (%)1.6%

Sample

1st row13
2nd row13
3rd row13
4th row13
5th row31

Common Values

ValueCountFrequency (%)
13 29
46.8%
3 29
46.8%
2 3
 
4.8%
31 1
 
1.6%

Length

2024-05-11T16:05:45.645255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:05:45.767899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 29
46.8%
3 29
46.8%
2 3
 
4.8%
31 1
 
1.6%

상세영업상태명
Categorical

Distinct4
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size628.0 B
영업중
29 
폐업
29 
휴업
3 
등록취소
 
1

Length

Max length4
Median length2
Mean length2.5
Min length2

Unique

Unique1 ?
Unique (%)1.6%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 29
46.8%
폐업 29
46.8%
휴업 3
 
4.8%
등록취소 1
 
1.6%

Length

2024-05-11T16:05:45.889344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:05:46.012103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 29
46.8%
폐업 29
46.8%
휴업 3
 
4.8%
등록취소 1
 
1.6%

폐업일자
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)100.0%
Missing33
Missing (%)53.2%
Infinite0
Infinite (%)0.0%
Mean20196510
Minimum20170227
Maximum20230227
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2024-05-11T16:05:46.122058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20170227
5-th percentile20170485
Q120180531
median20200304
Q320211224
95-th percentile20220970
Maximum20230227
Range60000
Interquartile range (IQR)30693

Descriptive statistics

Standard deviation19358.445
Coefficient of variation (CV)0.00095850447
Kurtosis-1.3965361
Mean20196510
Median Absolute Deviation (MAD)19675
Skewness-0.0063022924
Sum5.8569879 × 108
Variance3.747494 × 108
MonotonicityNot monotonic
2024-05-11T16:05:46.255779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
20170705 1
 
1.6%
20220110 1
 
1.6%
20200527 1
 
1.6%
20211229 1
 
1.6%
20221202 1
 
1.6%
20230227 1
 
1.6%
20170607 1
 
1.6%
20200507 1
 
1.6%
20211022 1
 
1.6%
20210420 1
 
1.6%
Other values (19) 19
30.6%
(Missing) 33
53.2%
ValueCountFrequency (%)
20170227 1
1.6%
20170404 1
1.6%
20170607 1
1.6%
20170701 1
1.6%
20170705 1
1.6%
20171013 1
1.6%
20180214 1
1.6%
20180531 1
1.6%
20180629 1
1.6%
20181021 1
1.6%
ValueCountFrequency (%)
20230227 1
1.6%
20221202 1
1.6%
20220623 1
1.6%
20220622 1
1.6%
20220110 1
1.6%
20220103 1
1.6%
20211229 1
1.6%
20211224 1
1.6%
20211126 1
1.6%
20211022 1
1.6%

휴업시작일자
Date

MISSING 

Distinct3
Distinct (%)100.0%
Missing59
Missing (%)95.2%
Memory size628.0 B
Minimum2017-08-08 00:00:00
Maximum2024-01-12 00:00:00
2024-05-11T16:05:46.392832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:05:46.506266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)

휴업종료일자
Date

MISSING 

Distinct3
Distinct (%)100.0%
Missing59
Missing (%)95.2%
Memory size628.0 B
Minimum2022-12-31 00:00:00
Maximum2027-01-01 00:00:00
2024-05-11T16:05:46.609233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:05:46.724100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

전화번호
Text

MISSING 

Distinct10
Distinct (%)100.0%
Missing52
Missing (%)83.9%
Memory size628.0 B
2024-05-11T16:05:46.907407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.2
Min length8

Characters and Unicode

Total characters112
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

Unique10 ?
Unique (%)100.0%

Sample

1st row02-583-3387
2nd row02-3471-2185
3rd row02-3463-8891
4th row02-3486-7373
5th row070-8104-8388
ValueCountFrequency (%)
02-583-3387 1
10.0%
02-3471-2185 1
10.0%
02-3463-8891 1
10.0%
02-3486-7373 1
10.0%
070-8104-8388 1
10.0%
02-529-9001 1
10.0%
070-4007-2717 1
10.0%
02-537-6518 1
10.0%
18335815 1
10.0%
236655277 1
10.0%
2024-05-11T16:05:47.230095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 16
14.3%
0 15
13.4%
3 14
12.5%
8 13
11.6%
7 12
10.7%
2 11
9.8%
5 9
8.0%
1 9
8.0%
4 5
 
4.5%
6 5
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 96
85.7%
Dash Punctuation 16
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 15
15.6%
3 14
14.6%
8 13
13.5%
7 12
12.5%
2 11
11.5%
5 9
9.4%
1 9
9.4%
4 5
 
5.2%
6 5
 
5.2%
9 3
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 112
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 16
14.3%
0 15
13.4%
3 14
12.5%
8 13
11.6%
7 12
10.7%
2 11
9.8%
5 9
8.0%
1 9
8.0%
4 5
 
4.5%
6 5
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 112
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 16
14.3%
0 15
13.4%
3 14
12.5%
8 13
11.6%
7 12
10.7%
2 11
9.8%
5 9
8.0%
1 9
8.0%
4 5
 
4.5%
6 5
 
4.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

소재지우편번호
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing61
Missing (%)98.4%
Memory size628.0 B
2024-05-11T16:05:47.372388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters7
Distinct characters6
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

Unique1 ?
Unique (%)100.0%

Sample

1st row137-903
ValueCountFrequency (%)
137-903 1
100.0%
2024-05-11T16:05:47.585717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 2
28.6%
1 1
14.3%
7 1
14.3%
- 1
14.3%
9 1
14.3%
0 1
14.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6
85.7%
Dash Punctuation 1
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 2
33.3%
1 1
16.7%
7 1
16.7%
9 1
16.7%
0 1
16.7%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 2
28.6%
1 1
14.3%
7 1
14.3%
- 1
14.3%
9 1
14.3%
0 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 2
28.6%
1 1
14.3%
7 1
14.3%
- 1
14.3%
9 1
14.3%
0 1
14.3%

지번주소
Text

UNIQUE 

Distinct62
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size628.0 B
2024-05-11T16:05:47.802909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length35.5
Mean length25.725806
Min length17

Characters and Unicode

Total characters1595
Distinct characters91
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

Unique62 ?
Unique (%)100.0%

Sample

1st row서울특별시 서초구 서초동 1658-11
2nd row서울특별시 서초구 서초동 1560-2
3rd row서울특별시 서초구 방배동 900-36
4th row서울특별시 서초구 방배동 432-8
5th row서울특별시 서초구 우면동 50-5
ValueCountFrequency (%)
서울특별시 62
19.9%
서초구 62
19.9%
반포동 15
 
4.8%
서초동 14
 
4.5%
잠원동 11
 
3.5%
방배동 11
 
3.5%
양재동 7
 
2.2%
201호 4
 
1.3%
우면동 4
 
1.3%
1307 3
 
1.0%
Other values (114) 119
38.1%
2024-05-11T16:05:48.145770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
250
 
15.7%
서 144
 
9.0%
1 82
 
5.1%
초 80
 
5.0%
동 76
 
4.8%
별 62
 
3.9%
시 62
 
3.9%
특 62
 
3.9%
구 62
 
3.9%
울 62
 
3.9%
Other values (81) 653
40.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 911
57.1%
Decimal Number 374
23.4%
Space Separator 250
 
15.7%
Dash Punctuation 52
 
3.3%
Close Punctuation 3
 
0.2%
Open Punctuation 3
 
0.2%
Other Punctuation 1
 
0.1%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 144
15.8%
초 80
 
8.8%
동 76
 
8.3%
별 62
 
6.8%
시 62
 
6.8%
특 62
 
6.8%
구 62
 
6.8%
울 62
 
6.8%
호 27
 
3.0%
지 23
 
2.5%
Other values (65) 251
27.6%
Decimal Number
ValueCountFrequency (%)
1 82
21.9%
2 62
16.6%
0 53
14.2%
3 38
10.2%
5 31
 
8.3%
4 31
 
8.3%
7 26
 
7.0%
6 19
 
5.1%
8 17
 
4.5%
9 15
 
4.0%
Space Separator
ValueCountFrequency (%)
250
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 52
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 911
57.1%
Common 683
42.8%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 144
15.8%
초 80
 
8.8%
동 76
 
8.3%
별 62
 
6.8%
시 62
 
6.8%
특 62
 
6.8%
구 62
 
6.8%
울 62
 
6.8%
호 27
 
3.0%
지 23
 
2.5%
Other values (65) 251
27.6%
Common
ValueCountFrequency (%)
250
36.6%
1 82
 
12.0%
2 62
 
9.1%
0 53
 
7.8%
- 52
 
7.6%
3 38
 
5.6%
5 31
 
4.5%
4 31
 
4.5%
7 26
 
3.8%
6 19
 
2.8%
Other values (5) 39
 
5.7%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 911
57.1%
ASCII 684
42.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
250
36.5%
1 82
 
12.0%
2 62
 
9.1%
0 53
 
7.7%
- 52
 
7.6%
3 38
 
5.6%
5 31
 
4.5%
4 31
 
4.5%
7 26
 
3.8%
6 19
 
2.8%
Other values (6) 40
 
5.8%
Hangul
ValueCountFrequency (%)
서 144
15.8%
초 80
 
8.8%
동 76
 
8.3%
별 62
 
6.8%
시 62
 
6.8%
특 62
 
6.8%
구 62
 
6.8%
울 62
 
6.8%
호 27
 
3.0%
지 23
 
2.5%
Other values (65) 251
27.6%

도로명주소
Text

Distinct61
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size628.0 B
2024-05-11T16:05:48.378842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length45
Mean length36.629032
Min length21

Characters and Unicode

Total characters2271
Distinct characters129
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

Unique60 ?
Unique (%)96.8%

Sample

1st row서울특별시 서초구 서초중앙로22길 22-8 (서초동)
2nd row서울특별시 서초구 반포대로22길 38, 301호 (서초동)
3rd row서울특별시 서초구 서초대로28길 47, 101호 (방배동)
4th row서울특별시 서초구 청두곶길 64-4, 지하1층 B02호 (방배동)
5th row서울특별시 서초구 바우뫼로11안길 38-6 (우면동)
ValueCountFrequency (%)
서울특별시 62
 
15.0%
서초구 62
 
15.0%
반포동 15
 
3.6%
서초동 14
 
3.4%
잠원동 11
 
2.7%
방배동 11
 
2.7%
양재동 7
 
1.7%
201호 6
 
1.5%
3층 4
 
1.0%
401호 4
 
1.0%
Other values (182) 217
52.5%
2024-05-11T16:05:48.833829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
351
 
15.5%
서 159
 
7.0%
초 95
 
4.2%
1 94
 
4.1%
동 80
 
3.5%
, 76
 
3.3%
0 72
 
3.2%
별 63
 
2.8%
2 63
 
2.8%
특 62
 
2.7%
Other values (119) 1156
50.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1258
55.4%
Decimal Number 437
 
19.2%
Space Separator 351
 
15.5%
Other Punctuation 76
 
3.3%
Close Punctuation 62
 
2.7%
Open Punctuation 62
 
2.7%
Dash Punctuation 22
 
1.0%
Uppercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 159
 
12.6%
초 95
 
7.6%
동 80
 
6.4%
별 63
 
5.0%
특 62
 
4.9%
시 62
 
4.9%
구 62
 
4.9%
울 62
 
4.9%
로 56
 
4.5%
길 55
 
4.4%
Other values (103) 502
39.9%
Decimal Number
ValueCountFrequency (%)
1 94
21.5%
0 72
16.5%
2 63
14.4%
3 55
12.6%
4 35
 
8.0%
5 33
 
7.6%
8 22
 
5.0%
6 22
 
5.0%
7 21
 
4.8%
9 20
 
4.6%
Space Separator
ValueCountFrequency (%)
351
100.0%
Other Punctuation
ValueCountFrequency (%)
, 76
100.0%
Close Punctuation
ValueCountFrequency (%)
) 62
100.0%
Open Punctuation
ValueCountFrequency (%)
( 62
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1258
55.4%
Common 1010
44.5%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 159
 
12.6%
초 95
 
7.6%
동 80
 
6.4%
별 63
 
5.0%
특 62
 
4.9%
시 62
 
4.9%
구 62
 
4.9%
울 62
 
4.9%
로 56
 
4.5%
길 55
 
4.4%
Other values (103) 502
39.9%
Common
ValueCountFrequency (%)
351
34.8%
1 94
 
9.3%
, 76
 
7.5%
0 72
 
7.1%
2 63
 
6.2%
) 62
 
6.1%
( 62
 
6.1%
3 55
 
5.4%
4 35
 
3.5%
5 33
 
3.3%
Other values (5) 107
 
10.6%
Latin
ValueCountFrequency (%)
B 3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1258
55.4%
ASCII 1013
44.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
351
34.6%
1 94
 
9.3%
, 76
 
7.5%
0 72
 
7.1%
2 63
 
6.2%
) 62
 
6.1%
( 62
 
6.1%
3 55
 
5.4%
4 35
 
3.5%
5 33
 
3.3%
Other values (6) 110
 
10.9%
Hangul
ValueCountFrequency (%)
서 159
 
12.6%
초 95
 
7.6%
동 80
 
6.4%
별 63
 
5.0%
특 62
 
4.9%
시 62
 
4.9%
구 62
 
4.9%
울 62
 
4.9%
로 56
 
4.5%
길 55
 
4.4%
Other values (103) 502
39.9%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct49
Distinct (%)83.1%
Missing3
Missing (%)4.8%
Infinite0
Infinite (%)0.0%
Mean6621.2712
Minimum6503
Maximum6778
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2024-05-11T16:05:48.999988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6503
5-th percentile6522.5
Q16540
median6614
Q36689.5
95-th percentile6770
Maximum6778
Range275
Interquartile range (IQR)149.5

Descriptive statistics

Standard deviation90.111202
Coefficient of variation (CV)0.013609351
Kurtosis-1.2283419
Mean6621.2712
Median Absolute Deviation (MAD)74
Skewness0.45645738
Sum390655
Variance8120.0286
MonotonicityNot monotonic
2024-05-11T16:05:49.128853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
6614 3
 
4.8%
6770 2
 
3.2%
6544 2
 
3.2%
6543 2
 
3.2%
6527 2
 
3.2%
6542 2
 
3.2%
6524 2
 
3.2%
6540 2
 
3.2%
6762 2
 
3.2%
6635 1
 
1.6%
Other values (39) 39
62.9%
(Missing) 3
 
4.8%
ValueCountFrequency (%)
6503 1
1.6%
6511 1
1.6%
6518 1
1.6%
6523 1
1.6%
6524 2
3.2%
6526 1
1.6%
6527 2
3.2%
6529 1
1.6%
6530 1
1.6%
6536 1
1.6%
ValueCountFrequency (%)
6778 1
1.6%
6777 1
1.6%
6770 2
3.2%
6767 1
1.6%
6762 2
3.2%
6761 1
1.6%
6760 1
1.6%
6751 1
1.6%
6745 1
1.6%
6738 1
1.6%

사업장명
Text

UNIQUE 

Distinct62
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size628.0 B
2024-05-11T16:05:49.380594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length16
Mean length8.3064516
Min length2

Characters and Unicode

Total characters515
Distinct characters163
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

Unique62 ?
Unique (%)100.0%

Sample

1st row해치스테이
2nd row다올(DAOL STAY)
3rd row행복드림
4th row스마일 방배 도미토리
5th row게스트하우스 ONL(오늘)
ValueCountFrequency (%)
게스트하우스 6
 
5.6%
house 5
 
4.7%
강남게스트하우스 2
 
1.9%
stay 2
 
1.9%
홈스테이 2
 
1.9%
강남 2
 
1.9%
home 2
 
1.9%
더자 2
 
1.9%
sandy 2
 
1.9%
수은의집 1
 
0.9%
Other values (81) 81
75.7%
2024-05-11T16:05:49.797239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 52
 
10.1%
45
 
8.7%
하 23
 
4.5%
우 23
 
4.5%
트 15
 
2.9%
이 14
 
2.7%
a 11
 
2.1%
e 10
 
1.9%
게 10
 
1.9%
테 9
 
1.7%
Other values (153) 303
58.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 322
62.5%
Lowercase Letter 77
 
15.0%
Uppercase Letter 58
 
11.3%
Space Separator 45
 
8.7%
Decimal Number 4
 
0.8%
Close Punctuation 3
 
0.6%
Open Punctuation 3
 
0.6%
Other Punctuation 2
 
0.4%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 52
 
16.1%
하 23
 
7.1%
우 23
 
7.1%
트 15
 
4.7%
이 14
 
4.3%
게 10
 
3.1%
테 9
 
2.8%
강 7
 
2.2%
서 7
 
2.2%
홈 6
 
1.9%
Other values (105) 156
48.4%
Uppercase Letter
ValueCountFrequency (%)
S 7
12.1%
O 6
 
10.3%
H 6
 
10.3%
E 6
 
10.3%
T 5
 
8.6%
A 3
 
5.2%
K 3
 
5.2%
W 2
 
3.4%
R 2
 
3.4%
D 2
 
3.4%
Other values (11) 16
27.6%
Lowercase Letter
ValueCountFrequency (%)
a 11
14.3%
e 10
13.0%
u 8
10.4%
s 8
10.4%
o 7
9.1%
y 5
6.5%
l 5
6.5%
h 5
6.5%
n 4
 
5.2%
t 3
 
3.9%
Other values (8) 11
14.3%
Decimal Number
ValueCountFrequency (%)
2 2
50.0%
7 1
25.0%
9 1
25.0%
Other Punctuation
ValueCountFrequency (%)
: 1
50.0%
' 1
50.0%
Space Separator
ValueCountFrequency (%)
45
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 322
62.5%
Latin 135
26.2%
Common 58
 
11.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 52
 
16.1%
하 23
 
7.1%
우 23
 
7.1%
트 15
 
4.7%
이 14
 
4.3%
게 10
 
3.1%
테 9
 
2.8%
강 7
 
2.2%
서 7
 
2.2%
홈 6
 
1.9%
Other values (105) 156
48.4%
Latin
ValueCountFrequency (%)
a 11
 
8.1%
e 10
 
7.4%
u 8
 
5.9%
s 8
 
5.9%
o 7
 
5.2%
S 7
 
5.2%
O 6
 
4.4%
H 6
 
4.4%
E 6
 
4.4%
y 5
 
3.7%
Other values (29) 61
45.2%
Common
ValueCountFrequency (%)
45
77.6%
) 3
 
5.2%
( 3
 
5.2%
2 2
 
3.4%
- 1
 
1.7%
7 1
 
1.7%
9 1
 
1.7%
: 1
 
1.7%
' 1
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 322
62.5%
ASCII 193
37.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 52
 
16.1%
하 23
 
7.1%
우 23
 
7.1%
트 15
 
4.7%
이 14
 
4.3%
게 10
 
3.1%
테 9
 
2.8%
강 7
 
2.2%
서 7
 
2.2%
홈 6
 
1.9%
Other values (105) 156
48.4%
ASCII
ValueCountFrequency (%)
45
23.3%
a 11
 
5.7%
e 10
 
5.2%
u 8
 
4.1%
s 8
 
4.1%
o 7
 
3.6%
S 7
 
3.6%
O 6
 
3.1%
H 6
 
3.1%
E 6
 
3.1%
Other values (38) 79
40.9%

최종수정일자
Date

Distinct54
Distinct (%)87.1%
Missing0
Missing (%)0.0%
Memory size628.0 B
Minimum2017-03-06 00:00:00
Maximum2024-05-01 09:41:00
2024-05-11T16:05:49.955651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:05:50.106588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size628.0 B
U
47 
I
15 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 47
75.8%
I 15
 
24.2%

Length

2024-05-11T16:05:50.513767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:05:50.617856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 47
75.8%
i 15
 
24.2%

데이터갱신일자
Date

Distinct44
Distinct (%)71.0%
Missing0
Missing (%)0.0%
Memory size628.0 B
Minimum2018-08-31 23:59:00
Maximum2023-12-05 00:03:00
2024-05-11T16:05:50.755459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:05:50.925889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

좌표정보(X)
Real number (ℝ)

Distinct59
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean201212.08
Minimum198389.02
Maximum203622.29
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2024-05-11T16:05:51.069526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum198389.02
5-th percentile199049.68
Q1200590.92
median201512.79
Q3201878.53
95-th percentile203363.04
Maximum203622.29
Range5233.2651
Interquartile range (IQR)1287.6074

Descriptive statistics

Standard deviation1246.02
Coefficient of variation (CV)0.0061925708
Kurtosis-0.2759797
Mean201212.08
Median Absolute Deviation (MAD)617.08229
Skewness-0.39511984
Sum12475149
Variance1552565.9
MonotonicityNot monotonic
2024-05-11T16:05:51.233816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
202130.8276 3
 
4.8%
201169.5109 2
 
3.2%
201252.816736683 1
 
1.6%
201566.6506 1
 
1.6%
201520.5765 1
 
1.6%
201600.3947 1
 
1.6%
200458.9797 1
 
1.6%
201464.7189 1
 
1.6%
202092.7055 1
 
1.6%
201746.2129 1
 
1.6%
Other values (49) 49
79.0%
ValueCountFrequency (%)
198389.0223 1
1.6%
198670.661137775 1
1.6%
199044.4645 1
1.6%
199047.7056 1
1.6%
199087.1699 1
1.6%
199100.0645 1
1.6%
199291.1777 1
1.6%
199445.4908 1
1.6%
199460.840467518 1
1.6%
199636.711679939 1
1.6%
ValueCountFrequency (%)
203622.2874 1
 
1.6%
203477.2677 1
 
1.6%
203419.0271 1
 
1.6%
203380.518487905 1
 
1.6%
203030.9791 1
 
1.6%
202996.3355 1
 
1.6%
202535.8402 1
 
1.6%
202170.1348 1
 
1.6%
202160.791212622 1
 
1.6%
202130.8276 3
4.8%

좌표정보(Y)
Real number (ℝ)

Distinct59
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean443531.35
Minimum439470.89
Maximum446132.93
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2024-05-11T16:05:51.374073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum439470.89
5-th percentile440486.9
Q1442281.63
median443770.14
Q3444900.9
95-th percentile445819.55
Maximum446132.93
Range6662.0408
Interquartile range (IQR)2619.2689

Descriptive statistics

Standard deviation1716.2038
Coefficient of variation (CV)0.0038694082
Kurtosis-0.84260205
Mean443531.35
Median Absolute Deviation (MAD)1204.0025
Skewness-0.3912903
Sum27498944
Variance2945355.6
MonotonicityNot monotonic
2024-05-11T16:05:51.527408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
444209.7759 3
 
4.8%
444933.0123 2
 
3.2%
443415.214346764 1
 
1.6%
446099.8817 1
 
1.6%
445789.5194 1
 
1.6%
444038.7625 1
 
1.6%
445125.986 1
 
1.6%
445682.5452 1
 
1.6%
443982.5152 1
 
1.6%
444675.0641 1
 
1.6%
Other values (49) 49
79.0%
ValueCountFrequency (%)
439470.8894 1
1.6%
440305.0489 1
1.6%
440456.7052 1
1.6%
440458.8328 1
1.6%
441020.0988 1
1.6%
441187.311763566 1
1.6%
441286.1599 1
1.6%
441292.2854 1
1.6%
441312.2382 1
1.6%
441358.6505 1
1.6%
ValueCountFrequency (%)
446132.9302 1
1.6%
446099.8817 1
1.6%
445848.1317 1
1.6%
445821.1262 1
1.6%
445789.5194 1
1.6%
445722.5331 1
1.6%
445682.5452 1
1.6%
445671.8422 1
1.6%
445603.1061 1
1.6%
445513.3225 1
1.6%

문화체육업종명
Categorical

Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size628.0 B
외국인관광 도시민박업
53 
<NA>
9 

Length

Max length11
Median length11
Mean length9.983871
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
외국인관광 도시민박업 53
85.5%
<NA> 9
 
14.5%

Length

2024-05-11T16:05:51.681980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:05:51.792534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
외국인관광 53
46.1%
도시민박업 53
46.1%
na 9
 
7.8%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

지역구분명
Categorical

Distinct4
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size628.0 B
<NA>
39 
일반주거지역
12 
주거지역
10 
일반상업지역
 
1

Length

Max length6
Median length4
Mean length4.4193548
Min length4

Unique

Unique1 ?
Unique (%)1.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 39
62.9%
일반주거지역 12
 
19.4%
주거지역 10
 
16.1%
일반상업지역 1
 
1.6%

Length

2024-05-11T16:05:51.926301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:05:52.032505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 39
62.9%
일반주거지역 12
 
19.4%
주거지역 10
 
16.1%
일반상업지역 1
 
1.6%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)31.0%
Missing33
Missing (%)53.2%
Infinite0
Infinite (%)0.0%
Mean2.7586207
Minimum0
Maximum33
Zeros19
Zeros (%)30.6%
Negative0
Negative (%)0.0%
Memory size690.0 B
2024-05-11T16:05:52.123187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q34
95-th percentile10
Maximum33
Range33
Interquartile range (IQR)4

Descriptive statistics

Standard deviation6.5008525
Coefficient of variation (CV)2.356559
Kurtosis17.596772
Mean2.7586207
Median Absolute Deviation (MAD)0
Skewness3.9338537
Sum80
Variance42.261084
MonotonicityNot monotonic
2024-05-11T16:05:52.221145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 19
30.6%
4 3
 
4.8%
5 1
 
1.6%
2 1
 
1.6%
12 1
 
1.6%
3 1
 
1.6%
7 1
 
1.6%
33 1
 
1.6%
6 1
 
1.6%
(Missing) 33
53.2%
ValueCountFrequency (%)
0 19
30.6%
2 1
 
1.6%
3 1
 
1.6%
4 3
 
4.8%
5 1
 
1.6%
6 1
 
1.6%
7 1
 
1.6%
12 1
 
1.6%
33 1
 
1.6%
ValueCountFrequency (%)
33 1
 
1.6%
12 1
 
1.6%
7 1
 
1.6%
6 1
 
1.6%
5 1
 
1.6%
4 3
 
4.8%
3 1
 
1.6%
2 1
 
1.6%
0 19
30.6%

주변환경명
Categorical

Distinct4
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size628.0 B
<NA>
47 
아파트지역
7 
주택가주변
7 
기타
 
1

Length

Max length5
Median length4
Mean length4.1935484
Min length2

Unique

Unique1 ?
Unique (%)1.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 47
75.8%
아파트지역 7
 
11.3%
주택가주변 7
 
11.3%
기타 1
 
1.6%

Length

2024-05-11T16:05:52.358666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:05:52.469431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 47
75.8%
아파트지역 7
 
11.3%
주택가주변 7
 
11.3%
기타 1
 
1.6%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

보험기관명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

건물용도명
Categorical

Distinct6
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Memory size628.0 B
<NA>
22 
아파트
15 
다세대주택
9 
다가구용 주택(공동주택적용)
8 
단독주택
7 

Length

Max length15
Median length6
Mean length5.3548387
Min length3

Unique

Unique1 ?
Unique (%)1.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 22
35.5%
아파트 15
24.2%
다세대주택 9
14.5%
다가구용 주택(공동주택적용) 8
 
12.9%
단독주택 7
 
11.3%
근린생활시설 1
 
1.6%

Length

2024-05-11T16:05:52.586427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:05:52.706422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
31.4%
아파트 15
21.4%
다세대주택 9
12.9%
다가구용 8
 
11.4%
주택(공동주택적용 8
 
11.4%
단독주택 7
 
10.0%
근린생활시설 1
 
1.4%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)21.4%
Missing34
Missing (%)54.8%
Infinite0
Infinite (%)0.0%
Mean1
Minimum0
Maximum6
Zeros20
Zeros (%)32.3%
Negative0
Negative (%)0.0%
Memory size690.0 B
2024-05-11T16:05:52.811829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile4.65
Maximum6
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.7847087
Coefficient of variation (CV)1.7847087
Kurtosis1.5698124
Mean1
Median Absolute Deviation (MAD)0
Skewness1.6418548
Sum28
Variance3.1851852
MonotonicityNot monotonic
2024-05-11T16:05:52.924052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 20
32.3%
2 3
 
4.8%
4 2
 
3.2%
3 1
 
1.6%
6 1
 
1.6%
5 1
 
1.6%
(Missing) 34
54.8%
ValueCountFrequency (%)
0 20
32.3%
2 3
 
4.8%
3 1
 
1.6%
4 2
 
3.2%
5 1
 
1.6%
6 1
 
1.6%
ValueCountFrequency (%)
6 1
 
1.6%
5 1
 
1.6%
4 2
 
3.2%
3 1
 
1.6%
2 3
 
4.8%
0 20
32.3%

지하층수
Categorical

Distinct4
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size628.0 B
<NA>
36 
0
21 
1
4 
2
 
1

Length

Max length4
Median length4
Mean length2.7419355
Min length1

Unique

Unique1 ?
Unique (%)1.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 36
58.1%
0 21
33.9%
1 4
 
6.5%
2 1
 
1.6%

Length

2024-05-11T16:05:53.084012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:05:53.229322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 36
58.1%
0 21
33.9%
1 4
 
6.5%
2 1
 
1.6%

객실수
Categorical

Distinct5
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Memory size628.0 B
<NA>
27 
2
16 
1
13 
3
5 
7
 
1

Length

Max length4
Median length1
Mean length2.3064516
Min length1

Unique

Unique1 ?
Unique (%)1.6%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row3

Common Values

ValueCountFrequency (%)
<NA> 27
43.5%
2 16
25.8%
1 13
21.0%
3 5
 
8.1%
7 1
 
1.6%

Length

2024-05-11T16:05:53.414996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:05:53.551603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 27
43.5%
2 16
25.8%
1 13
21.0%
3 5
 
8.1%
7 1
 
1.6%

건축연면적
Categorical

Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size628.0 B
<NA>
39 
0
23 

Length

Max length4
Median length4
Mean length2.8870968
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> 39
62.9%
0 23
37.1%

Length

2024-05-11T16:05:53.691707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:05:53.805162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 39
62.9%
0 23
37.1%

영문상호명
Text

MISSING 

Distinct29
Distinct (%)100.0%
Missing33
Missing (%)53.2%
Memory size628.0 B
2024-05-11T16:05:53.988684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length15
Mean length13.62069
Min length2

Characters and Unicode

Total characters395
Distinct characters46
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)100.0%

Sample

1st rowGuesthouse ONL
2nd rowCHOICE
3rd rowR House
4th rowYB
5th rowKW Sinsa
ValueCountFrequency (%)
guesthouse 7
 
11.1%
house 6
 
9.5%
gangnam 5
 
7.9%
the 3
 
4.8%
sinsa 2
 
3.2%
ja 2
 
3.2%
stay 2
 
3.2%
in 1
 
1.6%
dalbit 1
 
1.6%
tj 1
 
1.6%
Other values (33) 33
52.4%
2024-05-11T16:05:54.345706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 43
 
10.9%
34
 
8.6%
a 30
 
7.6%
s 29
 
7.3%
u 27
 
6.8%
o 27
 
6.8%
n 22
 
5.6%
H 17
 
4.3%
G 13
 
3.3%
t 13
 
3.3%
Other values (36) 140
35.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 258
65.3%
Uppercase Letter 98
 
24.8%
Space Separator 34
 
8.6%
Decimal Number 5
 
1.3%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
H 17
17.3%
G 13
13.3%
S 8
 
8.2%
A 7
 
7.1%
L 5
 
5.1%
J 5
 
5.1%
T 5
 
5.1%
K 4
 
4.1%
R 4
 
4.1%
O 4
 
4.1%
Other values (12) 26
26.5%
Lowercase Letter
ValueCountFrequency (%)
e 43
16.7%
a 30
11.6%
s 29
11.2%
u 27
10.5%
o 27
10.5%
n 22
8.5%
t 13
 
5.0%
i 12
 
4.7%
h 10
 
3.9%
m 10
 
3.9%
Other values (10) 35
13.6%
Decimal Number
ValueCountFrequency (%)
2 3
60.0%
9 1
 
20.0%
7 1
 
20.0%
Space Separator
ValueCountFrequency (%)
34
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 356
90.1%
Common 39
 
9.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 43
 
12.1%
a 30
 
8.4%
s 29
 
8.1%
u 27
 
7.6%
o 27
 
7.6%
n 22
 
6.2%
H 17
 
4.8%
G 13
 
3.7%
t 13
 
3.7%
i 12
 
3.4%
Other values (32) 123
34.6%
Common
ValueCountFrequency (%)
34
87.2%
2 3
 
7.7%
9 1
 
2.6%
7 1
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 395
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 43
 
10.9%
34
 
8.6%
a 30
 
7.6%
s 29
 
7.3%
u 27
 
6.8%
o 27
 
6.8%
n 22
 
5.6%
H 17
 
4.3%
G 13
 
3.3%
t 13
 
3.3%
Other values (36) 140
35.4%

영문상호주소
Categorical

Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size628.0 B
<NA>
33 
Urban homestay facilities for foreign tourist
29 

Length

Max length45
Median length4
Mean length23.177419
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th rowUrban homestay facilities for foreign tourist

Common Values

ValueCountFrequency (%)
<NA> 33
53.2%
Urban homestay facilities for foreign tourist 29
46.8%

Length

2024-05-11T16:05:54.538723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:05:54.633665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 33
15.9%
urban 29
14.0%
homestay 29
14.0%
facilities 29
14.0%
for 29
14.0%
foreign 29
14.0%
tourist 29
14.0%

선박총톤수
Categorical

Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size628.0 B
<NA>
39 
0
23 

Length

Max length4
Median length4
Mean length2.8870968
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> 39
62.9%
0 23
37.1%

Length

2024-05-11T16:05:54.758147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:05:54.892380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 39
62.9%
0 23
37.1%

선박척수
Categorical

Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size628.0 B
<NA>
39 
0
23 

Length

Max length4
Median length4
Mean length2.8870968
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> 39
62.9%
0 23
37.1%

Length

2024-05-11T16:05:55.023149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:05:55.154371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 39
62.9%
0 23
37.1%

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

무대면적
Categorical

Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size628.0 B
<NA>
39 
0
23 

Length

Max length4
Median length4
Mean length2.8870968
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> 39
62.9%
0 23
37.1%

Length

2024-05-11T16:05:55.313762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:05:55.446511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 39
62.9%
0 23
37.1%

좌석수
Categorical

Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size628.0 B
<NA>
39 
0
23 

Length

Max length4
Median length4
Mean length2.8870968
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> 39
62.9%
0 23
37.1%

Length

2024-05-11T16:05:55.596676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:05:55.719661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 39
62.9%
0 23
37.1%

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

회의실별동시수용인원
Categorical

Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size628.0 B
<NA>
39 
0
23 

Length

Max length4
Median length4
Mean length2.8870968
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> 39
62.9%
0 23
37.1%

Length

2024-05-11T16:05:55.836648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:05:55.970528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 39
62.9%
0 23
37.1%

시설면적
Real number (ℝ)

MISSING 

Distinct38
Distinct (%)97.4%
Missing23
Missing (%)37.1%
Infinite0
Infinite (%)0.0%
Mean97.325897
Minimum13.8
Maximum219.96
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2024-05-11T16:05:56.103836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13.8
5-th percentile41.468
Q158.815
median102.38
Q3118.74
95-th percentile172.887
Maximum219.96
Range206.16
Interquartile range (IQR)59.925

Descriptive statistics

Standard deviation47.840793
Coefficient of variation (CV)0.49155255
Kurtosis0.35989849
Mean97.325897
Median Absolute Deviation (MAD)37.81
Skewness0.71024553
Sum3795.71
Variance2288.7415
MonotonicityNot monotonic
2024-05-11T16:05:56.255856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
57.63 2
 
3.2%
74.43 1
 
1.6%
102.38 1
 
1.6%
107.83 1
 
1.6%
89.73 1
 
1.6%
105.6 1
 
1.6%
116.0 1
 
1.6%
46.0 1
 
1.6%
85.0 1
 
1.6%
163.0 1
 
1.6%
Other values (28) 28
45.2%
(Missing) 23
37.1%
ValueCountFrequency (%)
13.8 1
1.6%
41.0 1
1.6%
41.52 1
1.6%
42.12 1
1.6%
45.0 1
1.6%
46.0 1
1.6%
50.44 1
1.6%
50.52 1
1.6%
57.63 2
3.2%
60.0 1
1.6%
ValueCountFrequency (%)
219.96 1
1.6%
216.87 1
1.6%
168.0 1
1.6%
163.0 1
1.6%
158.0 1
1.6%
146.0 1
1.6%
140.36 1
1.6%
132.26 1
1.6%
131.0 1
1.6%
121.48 1
1.6%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

놀이시설수
Categorical

Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size628.0 B
<NA>
39 
0
23 

Length

Max length4
Median length4
Mean length2.8870968
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> 39
62.9%
0 23
37.1%

Length

2024-05-11T16:05:56.410592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:05:56.544061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 39
62.9%
0 23
37.1%

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

자본금
Categorical

Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size628.0 B
<NA>
39 
0
23 

Length

Max length4
Median length4
Mean length2.8870968
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> 39
62.9%
0 23
37.1%

Length

2024-05-11T16:05:56.675500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:05:56.812907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 39
62.9%
0 23
37.1%

보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

시설규모
Real number (ℝ)

MISSING 

Distinct33
Distinct (%)84.6%
Missing23
Missing (%)37.1%
Infinite0
Infinite (%)0.0%
Mean97.333333
Minimum14
Maximum220
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2024-05-11T16:05:56.953898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile41.9
Q159
median102
Q3118.5
95-th percentile172.9
Maximum220
Range206
Interquartile range (IQR)59.5

Descriptive statistics

Standard deviation47.784788
Coefficient of variation (CV)0.4909396
Kurtosis0.37652556
Mean97.333333
Median Absolute Deviation (MAD)37
Skewness0.71623858
Sum3796
Variance2283.386
MonotonicityNot monotonic
2024-05-11T16:05:57.096699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
65 2
 
3.2%
58 2
 
3.2%
114 2
 
3.2%
90 2
 
3.2%
108 2
 
3.2%
42 2
 
3.2%
132 1
 
1.6%
158 1
 
1.6%
104 1
 
1.6%
113 1
 
1.6%
Other values (23) 23
37.1%
(Missing) 23
37.1%
ValueCountFrequency (%)
14 1
1.6%
41 1
1.6%
42 2
3.2%
45 1
1.6%
46 1
1.6%
50 1
1.6%
51 1
1.6%
58 2
3.2%
60 1
1.6%
61 1
1.6%
ValueCountFrequency (%)
220 1
1.6%
217 1
1.6%
168 1
1.6%
163 1
1.6%
158 1
1.6%
146 1
1.6%
140 1
1.6%
132 1
1.6%
131 1
1.6%
121 1
1.6%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
03210000CDFI22622120230000052023-08-08<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 서초동 1658-11서울특별시 서초구 서초중앙로22길 22-8 (서초동)6634해치스테이2023-08-08 09:34:58I2022-12-07 23:00:00.0<NA>201252.816737443415.214347<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13210000CDFI22622120230000062023-09-22<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 서초동 1560-2서울특별시 서초구 반포대로22길 38, 301호 (서초동)6649다올(DAOL STAY)2023-10-25 18:12:03U2022-10-30 22:08:00.0<NA>200896.663025443061.690161<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23210000CDFI22622120230000082023-12-11<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 방배동 900-36서울특별시 서초구 서초대로28길 47, 101호 (방배동)6664행복드림2023-12-11 16:21:25I2022-11-01 23:03:00.0<NA>199636.71168442691.513118<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33210000CDFI22622120230000072023-10-13<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 방배동 432-8서울특별시 서초구 청두곶길 64-4, 지하1층 B02호 (방배동)6678스마일 방배 도미토리2023-10-25 18:07:52U2022-10-30 22:08:00.0<NA>198670.661138442237.90568<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43210000CDFI226221201600000820160504202006294취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 우면동 50-5서울특별시 서초구 바우뫼로11안길 38-6 (우면동)6762게스트하우스 ONL(오늘)2020-07-03U2020-07-05 02:40:00.0<NA>202170.1348441292.2854외국인관광 도시민박업<NA><NA><NA><NA><NA><NA><NA><NA><NA>3<NA>Guesthouse ONLUrban homestay facilities for foreign tourist<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53210000CDFI22622120240000022024-01-16<NA>1영업/정상13영업중<NA><NA><NA><NA>02-583-3387<NA><NA>서울특별시 서초구 우면동 43-17 행복한집 201호서울특별시 서초구 바우뫼로11길 71, 2층 201호 (우면동, 행복한집)6762행복스테이2024-01-16 15:06:48I2023-11-30 23:08:00.0<NA>202160.791213441187.311764<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63210000CDFI226221201500000520150630<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 서초동 1522-1 래미안서초5차아파트 501동 406호서울특별시 서초구 반포대로21길 67, 501동 406호 (서초동, 래미안서초5차아파트)6670초이스2022-02-08U2022-02-10 02:40:00.0<NA>200627.7061442622.7607외국인관광 도시민박업<NA>주거지역<NA>아파트지역<NA><NA>아파트<NA><NA>1<NA>CHOICEUrban homestay facilities for foreign tourist<NA><NA><NA><NA><NA><NA><NA>168.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>168
73210000CDFI22622120150000062015-08-05<NA>2휴업2휴업<NA>2024-01-122025-01-30<NA>02-3471-2185<NA><NA>서울특별시 서초구 방배동 593-21서울특별시 서초구 남부순환로297길 45 (방배동)6702로뎀2024-01-12 14:56:13U2023-11-30 23:04:00.0<NA>199460.840468441519.889953<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83210000CDFI226221201600000120160725<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3463-8891<NA><NA>서울특별시 서초구 양재동 253-15서울특별시 서초구 마방로4길 15-48, 3층 (양재동)6777알하우스2022-01-12U2022-01-14 02:40:00.0<NA>203622.2874441312.2382외국인관광 도시민박업<NA>일반주거지역0<NA><NA><NA>근린생활시설0030R HouseUrban homestay facilities for foreign tourist00<NA>00<NA>060.88<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>61
93210000CDFI226221201600000420161108<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 양재동 209-1서울특별시 서초구 매헌로10길 8, 505호 (양재동)6770양재블루2021-10-12U2021-10-14 02:40:00.0<NA>202996.3355440305.0489외국인관광 도시민박업<NA>일반주거지역0<NA><NA><NA>다세대주택0010YBUrban homestay facilities for foreign tourist00<NA>00<NA>041.52<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>42
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
523210000CDFI226221201900000320190903<NA>3폐업3폐업20211022<NA><NA><NA><NA><NA><NA>서울특별시 서초구 잠원동 43-13서울특별시 서초구 신반포로45길 29-16 (잠원동)6529K-HOUSE2021-10-22U2021-10-25 02:40:00.0<NA>201505.0038445513.3225외국인관광 도시민박업<NA>일반주거지역<NA>주택가주변<NA><NA>단독주택217<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>219.96<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>220
533210000CDFI226221202000000120200226<NA>3폐업3폐업20200507<NA><NA><NA><NA><NA><NA>서울특별시 서초구 잠원동 25-29번지 그레이스빌서울특별시 서초구 강남대로95길 48-22, 201호 (잠원동, 그레이스빌)6527엔드 하우스2020-05-07U2020-05-09 02:40:00.0<NA>201457.4575445671.8422외국인관광 도시민박업<NA>일반주거지역<NA>주택가주변<NA><NA>다세대주택<NA><NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>50.52<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>51
543210000CDFI226221201600000620160616<NA>3폐업3폐업20170607<NA><NA><NA><NA><NA><NA>서울특별시 서초구 우면동 59번지서울특별시 서초구 바우뫼로7길 27, 102동 401호 (우면동)<NA>러브하우스2017-06-07I2018-08-31 23:59:00.0<NA>202014.9777441020.0988외국인관광 도시민박업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>LOVE HouseUrban homestay facilities for foreign tourist<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
553210000CDFI226221202100000420210503<NA>3폐업3폐업20230227<NA><NA><NA><NA><NA><NA>서울특별시 서초구 잠원동 58 금호베스트빌아파트서울특별시 서초구 나루터로 46, 101동 1602호 (잠원동, 금호베스트빌아파트)6523서초베스트하우스2023-02-27U2023-03-01 02:40:00.0<NA>201180.9517445821.1262외국인관광 도시민박업<NA><NA><NA><NA><NA><NA>아파트<NA><NA>2<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>140.36<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>140
563210000CDFI226221202100000120210303<NA>3폐업3폐업20221202<NA><NA><NA><NA><NA><NA>서울특별시 서초구 반포동 2-12 아크로리버파크 104동 2203호서울특별시 서초구 신반포로15길 19, 104동 2203호 (반포동, 아크로리버파크)6503리버파크하우스2022-12-02U2022-12-04 02:40:00.0<NA>199291.1777444804.5751외국인관광 도시민박업<NA><NA>33아파트지역<NA><NA>아파트0020River Park HouseUrban homestay facilities for foreign tourist00<NA>00<NA>0112.99<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>113
573210000CDFI226221202100000220210322<NA>3폐업3폐업20211229<NA><NA><NA><NA><NA><NA>서울특별시 서초구 잠원동 158 래미안 신반포 팰리스 102동 2002호서울특별시 서초구 잠원로8길 35, 102동 2002호 (잠원동, 래미안 신반포 팰리스)6518팰리스스테이2021-12-29U2021-12-31 02:40:00.0<NA>201020.3876445848.1317외국인관광 도시민박업<NA><NA><NA><NA><NA><NA>아파트<NA><NA>2<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>104.04<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>104
583210000CDFI226221201800000320181005<NA>3폐업3폐업20200527<NA><NA><NA>236655277<NA><NA>서울특별시 서초구 양재동 204-10번지 준영빌라 1층 201호서울특별시 서초구 매헌로14길 25, 준영빌라 1층 201호 (양재동)6770K하우스2020-05-27U2020-05-29 02:40:00.0<NA>203030.9791440456.7052외국인관광 도시민박업<NA><NA><NA><NA><NA><NA><NA><NA><NA>2<NA>K HouseUrban homestay facilities for foreign tourist<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
593210000CDFI226221201600000720160304<NA>2휴업2휴업<NA>2017080820221231<NA><NA><NA><NA>서울특별시 서초구 서초동 1521-8번지서울특별시 서초구 반포대로21길 62 (서초동, 서초에스케이뷰아파트)6668서초맘 게스트하우스2017-08-08I2018-08-31 23:59:00.0<NA>200578.6646442662.5145외국인관광 도시민박업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>SeochoMom GuestHouseUrban homestay facilities for foreign tourist<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
603210000CDFI226221201200000320120802<NA>2휴업2휴업<NA>2022012520270101<NA><NA><NA><NA>서울특별시 서초구 방배동 485-3 방배래미안타워 201동 302호서울특별시 서초구 남부순환로 2183, 201동 302호 (방배동, 방배래미안타워)6701로얄 홈스테이2022-01-25U2022-01-27 02:40:00.0<NA>199087.1699441429.5095외국인관광 도시민박업<NA>일반주거지역<NA>아파트지역<NA><NA>아파트<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>158.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>158
613210000CDFI226221201400000220140220<NA>3폐업3폐업20220110<NA><NA><NA><NA><NA><NA>서울특별시 서초구 서초동 1472-2 더샵오데움 105동 501호서울특별시 서초구 효령로46길 45, 105동 501호 (서초동, 더샵오데움)6709COREA2022-01-10U2022-01-12 02:40:00.0<NA>200737.9543442131.2046외국인관광 도시민박업<NA>일반주거지역6<NA><NA><NA>다세대주택4220COREAUrban homestay facilities for foreign tourist00<NA>00<NA>0132.26<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>132