Overview

Dataset statistics

Number of variables60
Number of observations87
Missing cells3475
Missing cells (%)66.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory45.0 KiB
Average record size in memory529.5 B

Variable types

Categorical10
Text6
Numeric5
Unsupported38
DateTime1

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),문화체육업종명,문화사업자구분명,지역구분명,총층수,주변환경명,제작취급품목내용,보험기관명,건물용도명,지상층수,지하층수,객실수,건축연면적,영문상호명,영문상호주소,선박총톤수,선박척수,선박제원,무대면적,좌석수,기념품종류,회의실별동시수용인원,시설면적,놀이기구수내역,놀이시설수,방송시설유무,발전시설유무,의무실유무,안내소유무,기획여행보험시작일자,기획여행보험종료일자,자본금,보험시작일자,보험종료일자,부대시설내역,시설규모
Author강남구
URLhttps://data.seoul.go.kr/dataList/OA-18599/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
데이터갱신구분 has constant value ""Constant
데이터갱신일자 has constant value ""Constant
문화체육업종명 has constant value ""Constant
보험기관명 has constant value ""Constant
인허가취소일자 is highly imbalanced (90.9%)Imbalance
도로명우편번호 is highly imbalanced (90.9%)Imbalance
폐업일자 has 44 (50.6%) missing valuesMissing
휴업시작일자 has 87 (100.0%) missing valuesMissing
휴업종료일자 has 87 (100.0%) missing valuesMissing
재개업일자 has 87 (100.0%) missing valuesMissing
전화번호 has 1 (1.1%) missing valuesMissing
소재지면적 has 87 (100.0%) missing valuesMissing
소재지우편번호 has 1 (1.1%) missing valuesMissing
도로명주소 has 13 (14.9%) missing valuesMissing
업태구분명 has 87 (100.0%) missing valuesMissing
좌표정보(X) has 12 (13.8%) missing valuesMissing
좌표정보(Y) has 12 (13.8%) missing valuesMissing
문화사업자구분명 has 87 (100.0%) missing valuesMissing
지역구분명 has 87 (100.0%) missing valuesMissing
총층수 has 87 (100.0%) missing valuesMissing
주변환경명 has 87 (100.0%) missing valuesMissing
제작취급품목내용 has 87 (100.0%) missing valuesMissing
보험기관명 has 86 (98.9%) missing valuesMissing
건물용도명 has 87 (100.0%) missing valuesMissing
지상층수 has 87 (100.0%) missing valuesMissing
지하층수 has 87 (100.0%) missing valuesMissing
객실수 has 87 (100.0%) missing valuesMissing
건축연면적 has 87 (100.0%) missing valuesMissing
영문상호명 has 87 (100.0%) missing valuesMissing
영문상호주소 has 87 (100.0%) missing valuesMissing
선박총톤수 has 87 (100.0%) missing valuesMissing
선박척수 has 87 (100.0%) missing valuesMissing
선박제원 has 87 (100.0%) missing valuesMissing
무대면적 has 87 (100.0%) missing valuesMissing
좌석수 has 87 (100.0%) missing valuesMissing
기념품종류 has 87 (100.0%) missing valuesMissing
회의실별동시수용인원 has 87 (100.0%) missing valuesMissing
시설면적 has 87 (100.0%) missing valuesMissing
놀이기구수내역 has 87 (100.0%) missing valuesMissing
놀이시설수 has 87 (100.0%) missing valuesMissing
방송시설유무 has 87 (100.0%) missing valuesMissing
발전시설유무 has 87 (100.0%) missing valuesMissing
의무실유무 has 87 (100.0%) missing valuesMissing
안내소유무 has 87 (100.0%) missing valuesMissing
기획여행보험시작일자 has 87 (100.0%) missing valuesMissing
기획여행보험종료일자 has 87 (100.0%) missing valuesMissing
자본금 has 87 (100.0%) missing valuesMissing
보험시작일자 has 87 (100.0%) missing valuesMissing
보험종료일자 has 87 (100.0%) missing valuesMissing
부대시설내역 has 87 (100.0%) missing valuesMissing
시설규모 has 87 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
사업장명 has unique valuesUnique
최종수정일자 has unique valuesUnique
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
문화사업자구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
지역구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총층수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
주변환경명 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
건물용도명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
지상층수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
지하층수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
객실수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건축연면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
영문상호명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
영문상호주소 is an unsupported type, check if it needs cleaning or further analysisUnsupported
선박총톤수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
선박척수 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
무대면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
좌석수 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
회의실별동시수용인원 is an unsupported type, check if it needs cleaning or further analysisUnsupported
시설면적 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
놀이시설수 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
자본금 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
시설규모 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-29 19:46:27.556061
Analysis finished2024-04-29 19:46:28.298922
Duration0.74 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size828.0 B
3220000
87 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3220000 87
100.0%

Length

2024-04-30T04:46:28.361612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:46:28.458093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3220000 87
100.0%

관리번호
Text

UNIQUE 

Distinct87
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size828.0 B
2024-04-30T04:46:28.608366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1740
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

Unique87 ?
Unique (%)100.0%

Sample

1st rowCDFI3261041996000001
2nd rowCDFI3261041997000001
3rd rowCDFI3261041999000001
4th rowCDFI3261042001000001
5th rowCDFI3261042002000001
ValueCountFrequency (%)
cdfi3261041996000001 1
 
1.1%
cdfi3261042010000009 1
 
1.1%
cdfi3261042010000006 1
 
1.1%
cdfi3261042010000005 1
 
1.1%
cdfi3261042010000004 1
 
1.1%
cdfi3261042010000003 1
 
1.1%
cdfi3261042010000002 1
 
1.1%
cdfi3261042010000001 1
 
1.1%
cdfi3261042009000014 1
 
1.1%
cdfi3261042009000013 1
 
1.1%
Other values (77) 77
88.5%
2024-04-30T04:46:28.923466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 663
38.1%
2 194
 
11.1%
1 163
 
9.4%
6 102
 
5.9%
3 99
 
5.7%
4 97
 
5.6%
C 87
 
5.0%
D 87
 
5.0%
F 87
 
5.0%
I 87
 
5.0%
Other values (4) 74
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1392
80.0%
Uppercase Letter 348
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 663
47.6%
2 194
 
13.9%
1 163
 
11.7%
6 102
 
7.3%
3 99
 
7.1%
4 97
 
7.0%
9 26
 
1.9%
7 20
 
1.4%
8 17
 
1.2%
5 11
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
C 87
25.0%
D 87
25.0%
F 87
25.0%
I 87
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1392
80.0%
Latin 348
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 663
47.6%
2 194
 
13.9%
1 163
 
11.7%
6 102
 
7.3%
3 99
 
7.1%
4 97
 
7.0%
9 26
 
1.9%
7 20
 
1.4%
8 17
 
1.2%
5 11
 
0.8%
Latin
ValueCountFrequency (%)
C 87
25.0%
D 87
25.0%
F 87
25.0%
I 87
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1740
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 663
38.1%
2 194
 
11.1%
1 163
 
9.4%
6 102
 
5.9%
3 99
 
5.7%
4 97
 
5.6%
C 87
 
5.0%
D 87
 
5.0%
F 87
 
5.0%
I 87
 
5.0%
Other values (4) 74
 
4.3%

인허가일자
Real number (ℝ)

Distinct77
Distinct (%)88.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20077555
Minimum19961028
Maximum20110411
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2024-04-30T04:46:29.041866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19961028
5-th percentile20023140
Q120070260
median20081112
Q320100514
95-th percentile20101216
Maximum20110411
Range149383
Interquartile range (IQR)30254

Descriptive statistics

Standard deviation28892.895
Coefficient of variation (CV)0.0014390644
Kurtosis4.5032429
Mean20077555
Median Absolute Deviation (MAD)19400
Skewness-1.9247691
Sum1.7467473 × 109
Variance8.3479938 × 108
MonotonicityNot monotonic
2024-04-30T04:46:29.152944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20070313 3
 
3.4%
20100614 3
 
3.4%
20090223 2
 
2.3%
20070424 2
 
2.3%
20080121 2
 
2.3%
20100514 2
 
2.3%
20090720 2
 
2.3%
20100525 2
 
2.3%
20101203 1
 
1.1%
20100812 1
 
1.1%
Other values (67) 67
77.0%
ValueCountFrequency (%)
19961028 1
1.1%
19971208 1
1.1%
19991211 1
1.1%
20010503 1
1.1%
20020108 1
1.1%
20030214 1
1.1%
20031230 1
1.1%
20040509 1
1.1%
20040901 1
1.1%
20050628 1
1.1%
ValueCountFrequency (%)
20110411 1
1.1%
20110303 1
1.1%
20101231 1
1.1%
20101221 1
1.1%
20101220 1
1.1%
20101206 1
1.1%
20101203 1
1.1%
20101021 1
1.1%
20101020 1
1.1%
20100914 1
1.1%

인허가취소일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size828.0 B
<NA>
86 
20160118
 
1

Length

Max length8
Median length4
Mean length4.045977
Min length4

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 86
98.9%
20160118 1
 
1.1%

Length

2024-04-30T04:46:29.289941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:46:29.386720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 86
98.9%
20160118 1
 
1.1%
Distinct3
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size828.0 B
1
43 
3
43 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
1 43
49.4%
3 43
49.4%
4 1
 
1.1%

Length

2024-04-30T04:46:29.484562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:46:29.585620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 43
49.4%
3 43
49.4%
4 1
 
1.1%

영업상태명
Categorical

Distinct3
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size828.0 B
영업/정상
43 
폐업
43 
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length5
Mean length3.6206897
Min length2

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 43
49.4%
폐업 43
49.4%
취소/말소/만료/정지/중지 1
 
1.1%

Length

2024-04-30T04:46:29.695414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:46:29.787256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 43
49.4%
폐업 43
49.4%
취소/말소/만료/정지/중지 1
 
1.1%
Distinct3
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size828.0 B
13
43 
3
43 
33
 
1

Length

Max length2
Median length2
Mean length1.5057471
Min length1

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
13 43
49.4%
3 43
49.4%
33 1
 
1.1%

Length

2024-04-30T04:46:29.896174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:46:29.994130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 43
49.4%
3 43
49.4%
33 1
 
1.1%
Distinct3
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size828.0 B
영업중
43 
폐업
43 
지정취소
 
1

Length

Max length4
Median length3
Mean length2.5172414
Min length2

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 43
49.4%
폐업 43
49.4%
지정취소 1
 
1.1%

Length

2024-04-30T04:46:30.104921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:46:30.206594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 43
49.4%
폐업 43
49.4%
지정취소 1
 
1.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)72.1%
Missing44
Missing (%)50.6%
Infinite0
Infinite (%)0.0%
Mean20135678
Minimum20110627
Maximum20160504
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2024-04-30T04:46:30.301044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20110627
5-th percentile20111026
Q120130120
median20141008
Q320141107
95-th percentile20160205
Maximum20160504
Range49877
Interquartile range (IQR)10987.5

Descriptive statistics

Standard deviation14469.718
Coefficient of variation (CV)0.00071861095
Kurtosis-0.59349719
Mean20135678
Median Absolute Deviation (MAD)9817
Skewness-0.21939817
Sum8.6583414 × 108
Variance2.0937275 × 108
MonotonicityNot monotonic
2024-04-30T04:46:30.406506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
20141008 6
 
6.9%
20141103 4
 
4.6%
20131231 3
 
3.4%
20111027 2
 
2.3%
20150825 2
 
2.3%
20120703 1
 
1.1%
20130909 1
 
1.1%
20140210 1
 
1.1%
20130131 1
 
1.1%
20130116 1
 
1.1%
Other values (21) 21
24.1%
(Missing) 44
50.6%
ValueCountFrequency (%)
20110627 1
1.1%
20110718 1
1.1%
20111026 1
1.1%
20111027 2
2.3%
20111201 1
1.1%
20120314 1
1.1%
20120613 1
1.1%
20120703 1
1.1%
20120709 1
1.1%
20130116 1
1.1%
ValueCountFrequency (%)
20160504 1
1.1%
20160229 1
1.1%
20160205 1
1.1%
20160201 1
1.1%
20151202 1
1.1%
20150827 1
1.1%
20150825 2
2.3%
20150302 1
1.1%
20141222 1
1.1%
20141111 1
1.1%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

전화번호
Text

MISSING 

Distinct86
Distinct (%)100.0%
Missing1
Missing (%)1.1%
Memory size828.0 B
2024-04-30T04:46:30.637716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length8
Mean length9.1046512
Min length8

Characters and Unicode

Total characters783
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

Unique86 ?
Unique (%)100.0%

Sample

1st row517-5007
2nd row567-8600
3rd row2005-1008
4th row3463-5292
5th row551-3355
ValueCountFrequency (%)
517-5007 1
 
1.2%
02-3446-7990 1
 
1.2%
545-1330 1
 
1.2%
02-3443-1970 1
 
1.2%
2112-3883 1
 
1.2%
512-2970 1
 
1.2%
02-529-3610 1
 
1.2%
547-5441 1
 
1.2%
551-5000 1
 
1.2%
558-0321 1
 
1.2%
Other values (76) 76
88.4%
2024-04-30T04:46:31.004820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 127
16.2%
- 109
13.9%
4 84
10.7%
0 83
10.6%
2 73
9.3%
6 63
8.0%
3 61
7.8%
8 55
7.0%
1 51
6.5%
7 51
6.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 674
86.1%
Dash Punctuation 109
 
13.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 127
18.8%
4 84
12.5%
0 83
12.3%
2 73
10.8%
6 63
9.3%
3 61
9.1%
8 55
8.2%
1 51
7.6%
7 51
7.6%
9 26
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 109
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 783
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 127
16.2%
- 109
13.9%
4 84
10.7%
0 83
10.6%
2 73
9.3%
6 63
8.0%
3 61
7.8%
8 55
7.0%
1 51
6.5%
7 51
6.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 783
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 127
16.2%
- 109
13.9%
4 84
10.7%
0 83
10.6%
2 73
9.3%
6 63
8.0%
3 61
7.8%
8 55
7.0%
1 51
6.5%
7 51
6.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct65
Distinct (%)75.6%
Missing1
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean135794.84
Minimum135011
Maximum135985
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2024-04-30T04:46:31.138318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum135011
5-th percentile135336
Q1135814.5
median135874
Q3135917.75
95-th percentile135956.25
Maximum135985
Range974
Interquartile range (IQR)103.25

Descriptive statistics

Standard deviation213.16637
Coefficient of variation (CV)0.0015697679
Kurtosis4.6334813
Mean135794.84
Median Absolute Deviation (MAD)56
Skewness-2.2034415
Sum11678356
Variance45439.903
MonotonicityNot monotonic
2024-04-30T04:46:31.265152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
135517 4
 
4.6%
135896 3
 
3.4%
135878 2
 
2.3%
135501 2
 
2.3%
135840 2
 
2.3%
135950 2
 
2.3%
135954 2
 
2.3%
135871 2
 
2.3%
135819 2
 
2.3%
135818 2
 
2.3%
Other values (55) 63
72.4%
ValueCountFrequency (%)
135011 1
 
1.1%
135082 1
 
1.1%
135091 2
2.3%
135281 1
 
1.1%
135501 2
2.3%
135505 1
 
1.1%
135509 1
 
1.1%
135517 4
4.6%
135570 1
 
1.1%
135719 1
 
1.1%
ValueCountFrequency (%)
135985 2
2.3%
135984 1
1.1%
135964 1
1.1%
135957 1
1.1%
135954 2
2.3%
135952 1
1.1%
135950 2
2.3%
135937 1
1.1%
135936 1
1.1%
135935 1
1.1%
Distinct85
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Memory size828.0 B
2024-04-30T04:46:31.500254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length36
Mean length27.413793
Min length19

Characters and Unicode

Total characters2385
Distinct characters122
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

Unique83 ?
Unique (%)95.4%

Sample

1st row서울특별시 강남구 논현동 94번지
2nd row서울특별시 강남구 논현동 94번지
3rd row서울특별시 강남구 역삼동 GS강남타워 지하1층
4th row서울특별시 강남구 도곡동 대신증권빌딩 지하 1층
5th row서울특별시 강남구 삼성동 159번지 코엑스몰 C-1
ValueCountFrequency (%)
서울특별시 87
19.4%
강남구 87
19.4%
1층 20
 
4.5%
역삼동 20
 
4.5%
지상1층 14
 
3.1%
지하1층 13
 
2.9%
신사동 13
 
2.9%
삼성동 13
 
2.9%
논현동 12
 
2.7%
청담동 11
 
2.4%
Other values (131) 159
35.4%
2024-04-30T04:46:31.871354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
449
18.8%
1 127
 
5.3%
109
 
4.6%
92
 
3.9%
91
 
3.8%
89
 
3.7%
89
 
3.7%
88
 
3.7%
87
 
3.6%
87
 
3.6%
Other values (112) 1077
45.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1424
59.7%
Space Separator 449
 
18.8%
Decimal Number 418
 
17.5%
Dash Punctuation 71
 
3.0%
Uppercase Letter 14
 
0.6%
Other Punctuation 7
 
0.3%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
109
 
7.7%
92
 
6.5%
91
 
6.4%
89
 
6.2%
89
 
6.2%
88
 
6.2%
87
 
6.1%
87
 
6.1%
87
 
6.1%
87
 
6.1%
Other values (89) 518
36.4%
Decimal Number
ValueCountFrequency (%)
1 127
30.4%
2 53
12.7%
8 37
 
8.9%
3 33
 
7.9%
0 32
 
7.7%
5 31
 
7.4%
9 31
 
7.4%
6 30
 
7.2%
7 23
 
5.5%
4 21
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
B 4
28.6%
G 2
14.3%
S 2
14.3%
C 2
14.3%
N 1
 
7.1%
X 1
 
7.1%
E 1
 
7.1%
O 1
 
7.1%
Space Separator
ValueCountFrequency (%)
449
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 71
100.0%
Other Punctuation
ValueCountFrequency (%)
, 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1424
59.7%
Common 947
39.7%
Latin 14
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
109
 
7.7%
92
 
6.5%
91
 
6.4%
89
 
6.2%
89
 
6.2%
88
 
6.2%
87
 
6.1%
87
 
6.1%
87
 
6.1%
87
 
6.1%
Other values (89) 518
36.4%
Common
ValueCountFrequency (%)
449
47.4%
1 127
 
13.4%
- 71
 
7.5%
2 53
 
5.6%
8 37
 
3.9%
3 33
 
3.5%
0 32
 
3.4%
5 31
 
3.3%
9 31
 
3.3%
6 30
 
3.2%
Other values (5) 53
 
5.6%
Latin
ValueCountFrequency (%)
B 4
28.6%
G 2
14.3%
S 2
14.3%
C 2
14.3%
N 1
 
7.1%
X 1
 
7.1%
E 1
 
7.1%
O 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1424
59.7%
ASCII 961
40.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
449
46.7%
1 127
 
13.2%
- 71
 
7.4%
2 53
 
5.5%
8 37
 
3.9%
3 33
 
3.4%
0 32
 
3.3%
5 31
 
3.2%
9 31
 
3.2%
6 30
 
3.1%
Other values (13) 67
 
7.0%
Hangul
ValueCountFrequency (%)
109
 
7.7%
92
 
6.5%
91
 
6.4%
89
 
6.2%
89
 
6.2%
88
 
6.2%
87
 
6.1%
87
 
6.1%
87
 
6.1%
87
 
6.1%
Other values (89) 518
36.4%

도로명주소
Text

MISSING 

Distinct73
Distinct (%)98.6%
Missing13
Missing (%)14.9%
Memory size828.0 B
2024-04-30T04:46:32.116749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length38
Mean length30.878378
Min length23

Characters and Unicode

Total characters2285
Distinct characters106
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

Unique72 ?
Unique (%)97.3%

Sample

1st row서울특별시 강남구 도산대로 334 (논현동)
2nd row서울특별시 강남구 도산대로 334 (논현동)
3rd row서울특별시 강남구 영동대로 511 (삼성동,코엑스몰 C-1)
4th row서울특별시 강남구 학동로2길 11 (논현동)
5th row서울특별시 강남구 도산대로 174 (논현동,정안빌딩 2,3층)
ValueCountFrequency (%)
서울특별시 74
 
18.5%
강남구 74
 
18.5%
논현동 7
 
1.8%
1층 6
 
1.5%
역삼동 6
 
1.5%
지하1층 5
 
1.3%
6 5
 
1.3%
도산대로 5
 
1.3%
21 5
 
1.3%
청담동,1층 4
 
1.0%
Other values (168) 208
52.1%
2024-04-30T04:46:32.492596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
372
 
16.3%
1 118
 
5.2%
82
 
3.6%
81
 
3.5%
81
 
3.5%
77
 
3.4%
75
 
3.3%
74
 
3.2%
74
 
3.2%
74
 
3.2%
Other values (96) 1177
51.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1329
58.2%
Space Separator 372
 
16.3%
Decimal Number 366
 
16.0%
Close Punctuation 74
 
3.2%
Open Punctuation 74
 
3.2%
Other Punctuation 59
 
2.6%
Dash Punctuation 6
 
0.3%
Uppercase Letter 5
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
82
 
6.2%
81
 
6.1%
81
 
6.1%
77
 
5.8%
75
 
5.6%
74
 
5.6%
74
 
5.6%
74
 
5.6%
74
 
5.6%
74
 
5.6%
Other values (79) 563
42.4%
Decimal Number
ValueCountFrequency (%)
1 118
32.2%
2 57
15.6%
4 33
 
9.0%
3 31
 
8.5%
0 27
 
7.4%
6 22
 
6.0%
8 21
 
5.7%
5 21
 
5.7%
7 19
 
5.2%
9 17
 
4.6%
Uppercase Letter
ValueCountFrequency (%)
B 4
80.0%
C 1
 
20.0%
Space Separator
ValueCountFrequency (%)
372
100.0%
Close Punctuation
ValueCountFrequency (%)
) 74
100.0%
Open Punctuation
ValueCountFrequency (%)
( 74
100.0%
Other Punctuation
ValueCountFrequency (%)
, 59
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1329
58.2%
Common 951
41.6%
Latin 5
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
82
 
6.2%
81
 
6.1%
81
 
6.1%
77
 
5.8%
75
 
5.6%
74
 
5.6%
74
 
5.6%
74
 
5.6%
74
 
5.6%
74
 
5.6%
Other values (79) 563
42.4%
Common
ValueCountFrequency (%)
372
39.1%
1 118
 
12.4%
) 74
 
7.8%
( 74
 
7.8%
, 59
 
6.2%
2 57
 
6.0%
4 33
 
3.5%
3 31
 
3.3%
0 27
 
2.8%
6 22
 
2.3%
Other values (5) 84
 
8.8%
Latin
ValueCountFrequency (%)
B 4
80.0%
C 1
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1329
58.2%
ASCII 956
41.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
372
38.9%
1 118
 
12.3%
) 74
 
7.7%
( 74
 
7.7%
, 59
 
6.2%
2 57
 
6.0%
4 33
 
3.5%
3 31
 
3.2%
0 27
 
2.8%
6 22
 
2.3%
Other values (7) 89
 
9.3%
Hangul
ValueCountFrequency (%)
82
 
6.2%
81
 
6.1%
81
 
6.1%
77
 
5.8%
75
 
5.6%
74
 
5.6%
74
 
5.6%
74
 
5.6%
74
 
5.6%
74
 
5.6%
Other values (79) 563
42.4%

도로명우편번호
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size828.0 B
<NA>
86 
6062
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 86
98.9%
6062 1
 
1.1%

Length

2024-04-30T04:46:32.610983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:46:32.688745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 86
98.9%
6062 1
 
1.1%

사업장명
Text

UNIQUE 

Distinct87
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size828.0 B
2024-04-30T04:46:32.918657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length13
Mean length6.7011494
Min length1

Characters and Unicode

Total characters583
Distinct characters188
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique87 ?
Unique (%)100.0%

Sample

1st row(주)바른손 베니건스 압구정점
2nd row(주)바른손베니건스 코엑스점
3rd row(주)아워홈 실크스파이스
4th row(주)이목원 배나무골
5th row동전개발(주)우노코엑스
ValueCountFrequency (%)
주)바른손 2
 
1.9%
압구정점 2
 
1.9%
베니건스 2
 
1.9%
코엑스점 2
 
1.9%
강가 2
 
1.9%
키라 1
 
0.9%
그라노 1
 
0.9%
구르메에오 1
 
0.9%
주)토마틸로지에프씨 1
 
0.9%
주)매직테이스트 1
 
0.9%
Other values (92) 92
86.0%
2024-04-30T04:46:33.293064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 34
 
5.8%
) 34
 
5.8%
27
 
4.6%
20
 
3.4%
20
 
3.4%
19
 
3.3%
18
 
3.1%
10
 
1.7%
9
 
1.5%
8
 
1.4%
Other values (178) 384
65.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 491
84.2%
Open Punctuation 34
 
5.8%
Close Punctuation 34
 
5.8%
Space Separator 20
 
3.4%
Decimal Number 3
 
0.5%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
27
 
5.5%
20
 
4.1%
19
 
3.9%
18
 
3.7%
10
 
2.0%
9
 
1.8%
8
 
1.6%
7
 
1.4%
7
 
1.4%
7
 
1.4%
Other values (171) 359
73.1%
Decimal Number
ValueCountFrequency (%)
2 1
33.3%
8 1
33.3%
7 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 34
100.0%
Close Punctuation
ValueCountFrequency (%)
) 34
100.0%
Space Separator
ValueCountFrequency (%)
20
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 491
84.2%
Common 92
 
15.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
27
 
5.5%
20
 
4.1%
19
 
3.9%
18
 
3.7%
10
 
2.0%
9
 
1.8%
8
 
1.6%
7
 
1.4%
7
 
1.4%
7
 
1.4%
Other values (171) 359
73.1%
Common
ValueCountFrequency (%)
( 34
37.0%
) 34
37.0%
20
21.7%
2 1
 
1.1%
, 1
 
1.1%
8 1
 
1.1%
7 1
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 491
84.2%
ASCII 92
 
15.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 34
37.0%
) 34
37.0%
20
21.7%
2 1
 
1.1%
, 1
 
1.1%
8 1
 
1.1%
7 1
 
1.1%
Hangul
ValueCountFrequency (%)
27
 
5.5%
20
 
4.1%
19
 
3.9%
18
 
3.7%
10
 
2.0%
9
 
1.8%
8
 
1.6%
7
 
1.4%
7
 
1.4%
7
 
1.4%
Other values (171) 359
73.1%

최종수정일자
Date

UNIQUE 

Distinct87
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size828.0 B
Minimum2011-07-11 21:22:28
Maximum2016-05-04 15:06:32
2024-04-30T04:46:33.418383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:46:33.556056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size828.0 B
I
87 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 87
100.0%

Length

2024-04-30T04:46:33.673584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:46:33.926698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 87
100.0%

데이터갱신일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size828.0 B
2018-08-31 23:59:59.0
87 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2018-08-31 23:59:59.0
2nd row2018-08-31 23:59:59.0
3rd row2018-08-31 23:59:59.0
4th row2018-08-31 23:59:59.0
5th row2018-08-31 23:59:59.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 87
100.0%

Length

2024-04-30T04:46:34.001636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:46:34.079672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2018-08-31 87
50.0%
23:59:59.0 87
50.0%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct74
Distinct (%)98.7%
Missing12
Missing (%)13.8%
Infinite0
Infinite (%)0.0%
Mean203571.95
Minimum201771.11
Maximum205627.54
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2024-04-30T04:46:34.177805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum201771.11
5-th percentile201974.82
Q1202723.19
median203422.68
Q3204573.66
95-th percentile205257.42
Maximum205627.54
Range3856.4234
Interquartile range (IQR)1850.4673

Descriptive statistics

Standard deviation1066.4049
Coefficient of variation (CV)0.0052384666
Kurtosis-1.054467
Mean203571.95
Median Absolute Deviation (MAD)871.7616
Skewness0.24168959
Sum15267896
Variance1137219.3
MonotonicityNot monotonic
2024-04-30T04:46:34.303061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
203336.821517205 2
 
2.3%
201943.318138226 1
 
1.1%
204564.677107073 1
 
1.1%
203114.582053156 1
 
1.1%
204582.63342488 1
 
1.1%
201988.322910124 1
 
1.1%
204507.450484068 1
 
1.1%
202550.921889373 1
 
1.1%
203018.030419668 1
 
1.1%
204004.125927718 1
 
1.1%
Other values (64) 64
73.6%
(Missing) 12
 
13.8%
ValueCountFrequency (%)
201771.114256751 1
1.1%
201847.886451965 1
1.1%
201928.025912356 1
1.1%
201943.318138226 1
1.1%
201988.322910124 1
1.1%
202118.122803265 1
1.1%
202210.224464549 1
1.1%
202262.457856142 1
1.1%
202375.906191344 1
1.1%
202384.176863802 1
1.1%
ValueCountFrequency (%)
205627.537677229 1
1.1%
205601.464498833 1
1.1%
205552.78825108 1
1.1%
205430.675401509 1
1.1%
205183.171677666 1
1.1%
205159.792088359 1
1.1%
205130.591678902 1
1.1%
205091.725780982 1
1.1%
205033.011281068 1
1.1%
204993.168008491 1
1.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct74
Distinct (%)98.7%
Missing12
Missing (%)13.8%
Infinite0
Infinite (%)0.0%
Mean445412.86
Minimum441790.04
Maximum447119.94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2024-04-30T04:46:34.426179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum441790.04
5-th percentile442984.26
Q1444225.49
median445590.1
Q3446741.69
95-th percentile447079.53
Maximum447119.94
Range5329.8952
Interquartile range (IQR)2516.2026

Descriptive statistics

Standard deviation1418.1394
Coefficient of variation (CV)0.0031838761
Kurtosis-0.78152493
Mean445412.86
Median Absolute Deviation (MAD)1253.9919
Skewness-0.49772286
Sum33405964
Variance2011119.2
MonotonicityNot monotonic
2024-04-30T04:46:34.553336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
446708.403920022 2
 
2.3%
445373.168327508 1
 
1.1%
447060.176300923 1
 
1.1%
447047.111169224 1
 
1.1%
444735.231813542 1
 
1.1%
446465.736555461 1
 
1.1%
444500.834512348 1
 
1.1%
443816.873367248 1
 
1.1%
447101.963504926 1
 
1.1%
447011.834761419 1
 
1.1%
Other values (64) 64
73.6%
(Missing) 12
 
13.8%
ValueCountFrequency (%)
441790.043049258 1
1.1%
442299.779488292 1
1.1%
442568.878945501 1
1.1%
442794.574490766 1
1.1%
443065.549521654 1
1.1%
443264.276611029 1
1.1%
443461.085900872 1
1.1%
443575.914969499 1
1.1%
443816.873367248 1
1.1%
443846.791232238 1
1.1%
ValueCountFrequency (%)
447119.938253719 1
1.1%
447101.963504926 1
1.1%
447098.174184132 1
1.1%
447086.262827024 1
1.1%
447076.643296353 1
1.1%
447060.176300923 1
1.1%
447047.111169224 1
1.1%
447021.695836015 1
1.1%
447011.834761419 1
1.1%
446993.524333925 1
1.1%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size828.0 B
관광식당업
87 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
관광식당업 87
100.0%

Length

2024-04-30T04:46:34.681129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:46:34.783544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
관광식당업 87
100.0%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

총층수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

보험기관명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing86
Missing (%)98.9%
Memory size828.0 B
2024-04-30T04:46:34.877554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters5
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row이탈리아식
ValueCountFrequency (%)
이탈리아식 1
100.0%
2024-04-30T04:46:35.085722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1
20.0%
1
20.0%
1
20.0%
1
20.0%
1
20.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1
20.0%
1
20.0%
1
20.0%
1
20.0%
1
20.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1
20.0%
1
20.0%
1
20.0%
1
20.0%
1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1
20.0%
1
20.0%
1
20.0%
1
20.0%
1
20.0%

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

지상층수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

지하층수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

객실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

건축연면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

영문상호명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

영문상호주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

선박총톤수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

선박척수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

무대면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

좌석수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

회의실별동시수용인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

시설면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

놀이시설수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

자본금
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

시설규모
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
03220000CDFI326104199600000119961028<NA>1영업/정상13영업중<NA><NA><NA><NA>517-5007<NA>135011서울특별시 강남구 논현동 94번지서울특별시 강남구 도산대로 334 (논현동)<NA>(주)바른손 베니건스 압구정점2011-07-12 18:10:09I2018-08-31 23:59:59.0<NA>203336.821517446708.40392관광식당업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13220000CDFI326104199700000119971208<NA>1영업/정상13영업중<NA><NA><NA><NA>567-8600<NA>135819서울특별시 강남구 논현동 94번지서울특별시 강남구 도산대로 334 (논현동)<NA>(주)바른손베니건스 코엑스점2011-07-12 18:14:37I2018-08-31 23:59:59.0<NA>203336.821517446708.40392관광식당업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23220000CDFI326104199900000119991211<NA>3폐업3폐업20111026<NA><NA><NA>2005-1008<NA>135985서울특별시 강남구 역삼동 GS강남타워 지하1층<NA><NA>(주)아워홈 실크스파이스2013-02-22 16:35:33I2018-08-31 23:59:59.0<NA><NA><NA>관광식당업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33220000CDFI326104200100000120010503<NA>1영업/정상13영업중<NA><NA><NA><NA>3463-5292<NA>135860서울특별시 강남구 도곡동 대신증권빌딩 지하 1층<NA><NA>(주)이목원 배나무골2011-07-14 13:01:49I2018-08-31 23:59:59.0<NA><NA><NA>관광식당업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43220000CDFI326104200200000120020108<NA>3폐업3폐업20131231<NA><NA><NA>551-3355<NA>135091서울특별시 강남구 삼성동 159번지 코엑스몰 C-1서울특별시 강남구 영동대로 511 (삼성동,코엑스몰 C-1)<NA>동전개발(주)우노코엑스2014-01-15 15:11:07I2018-08-31 23:59:59.0<NA>205130.591679445590.096838관광식당업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53220000CDFI326104200300000120030214<NA>1영업/정상13영업중<NA><NA><NA><NA>511-6666<NA>135822서울특별시 강남구 논현동 141-3번지서울특별시 강남구 학동로2길 11 (논현동)<NA>(주)삼양만나취영루2011-07-14 11:22:12I2018-08-31 23:59:59.0<NA>201943.318138445373.168328관광식당업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63220000CDFI326104200300000220031230<NA>3폐업3폐업20141008<NA><NA><NA>544-0457<NA>135812서울특별시 강남구 논현동 7-14번지 정안빌딩 2,3층서울특별시 강남구 도산대로 174 (논현동,정안빌딩 2,3층)<NA>(주)압구정 공을기2015-09-04 11:32:38I2018-08-31 23:59:59.0<NA>202375.906191446320.935032관광식당업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73220000CDFI326104200400000120040509<NA>1영업/정상13영업중<NA><NA><NA><NA>555-05550<NA>135933서울특별시 강남구 역삼동 833번지서울특별시 강남구 역삼로 118 (역삼동)<NA>대려도2011-12-15 11:29:41I2018-08-31 23:59:59.0<NA>202763.197583443461.085901관광식당업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83220000CDFI326104200400000220040901<NA>3폐업3폐업20141008<NA><NA><NA>02-3438-6105<NA>135724서울특별시 강남구 압구정동 현대백화점 본점 5층<NA><NA>타이타이압구정2015-09-04 11:35:08I2018-08-31 23:59:59.0<NA><NA><NA>관광식당업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93220000CDFI326104200500000120050719<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3446-5547<NA>135517서울특별시 강남구 청담동 92-8번지서울특별시 강남구 도산대로 439 (청담동)<NA>(주)뉴후론티어산업 그릴에이치2011-07-11 21:22:28I2018-08-31 23:59:59.0<NA>203799.644023446878.840091관광식당업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><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)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
773220000CDFI326104201000002020100514<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3457-4807<NA>135843서울특별시 강남구 대치동 922-23번지서울특별시 강남구 선릉로64길 5 (대치동)<NA>일품향(이미영)2011-12-16 11:08:54I2018-08-31 23:59:59.0<NA>204586.859965443967.274761관광식당업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
783220000CDFI326104201000002120100525<NA>3폐업3폐업20130909<NA><NA><NA>02-565-5591<NA>135936서울특별시 강남구 역삼동 830-31번지서울특별시 강남구 역삼로3길 12 (역삼동)<NA>지미(역삼점)2013-09-26 11:28:46I2018-08-31 23:59:59.0<NA>202722.161688443575.914969관광식당업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
793220000CDFI326104201000002220100414<NA>1영업/정상13영업중<NA><NA><NA><NA>02-564-7536<NA>135281서울특별시 강남구 대치동 1021-1번지 101호서울특별시 강남구 도곡로 446 (대치동,101호)<NA>차이웍2011-12-16 11:20:03I2018-08-31 23:59:59.0<NA>205183.171678443978.271694관광식당업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
803220000CDFI326104201000002320100514<NA>3폐업3폐업20150825<NA><NA><NA><NA><NA>135501서울특별시 강남구 대치동 990-2번지 지상1층서울특별시 강남구 도곡로 522 (대치동,지상1층)<NA>차이웍(대치2호점)2015-09-04 11:10:31I2018-08-31 23:59:59.0<NA>205552.788251444140.741979관광식당업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
813220000CDFI326104201000002420100825<NA>1영업/정상13영업중<NA><NA><NA><NA>02-563-0023<NA>135914서울특별시 강남구 역삼동 668-12번지서울특별시 강남구 봉은사로30길 70 (역삼동)<NA>청학루2011-12-16 11:32:51I2018-08-31 23:59:59.0<NA>203175.081699444532.30201관광식당업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
823220000CDFI326104201000002520101231<NA>3폐업3폐업20120703<NA><NA><NA>02-562-1371<NA>135840서울특별시 강남구 대치동 893-4번지 2층서울특별시 강남구 삼성로 427 (대치동,2층)<NA>카도로2012-07-16 10:03:23I2018-08-31 23:59:59.0<NA>204993.168008444750.10211관광식당업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
833220000CDFI326104201000002620101220<NA>3폐업3폐업20131231<NA><NA><NA>02-539-8854<NA>135082서울특별시 강남구 역삼동 708-36번지 3층서울특별시 강남구 선릉로 429 (역삼동,3층)<NA>쿠아타이(이준형)2014-01-15 15:13:33I2018-08-31 23:59:59.0<NA>204290.500084444555.671199관광식당업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
843220000CDFI326104201000002720100216<NA>3폐업3폐업20131231<NA><NA><NA>3270-7533<NA>135730서울특별시 강남구 삼성동 무역센터현대백화점 9층<NA><NA>티원, 무역센터2014-01-15 15:31:30I2018-08-31 23:59:59.0<NA><NA><NA>관광식당업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
853220000CDFI326104201100000120110303<NA>1영업/정상13영업중<NA><NA><NA><NA>544-6336<NA>135819서울특별시 강남구 논현동 99-7번지 지상1층서울특별시 강남구 선릉로145길 13 (논현동,지상1층)<NA>대가방본점2011-12-15 11:27:35I2018-08-31 23:59:59.0<NA>203336.58527446550.941348관광식당업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
863220000CDFI326104201100000220110411<NA>1영업/정상13영업중<NA><NA><NA><NA>545-6154<NA>135893서울특별시 강남구 신사동 601-3번지 동우빌딩 지상1층서울특별시 강남구 논현로168길 25 (신사동,동우빌딩 지상1층)<NA>일일향2011-12-16 11:08:30I2018-08-31 23:59:59.0<NA>202613.458776446843.022476관광식당업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>