Overview

Dataset statistics

Number of variables60
Number of observations32
Missing cells798
Missing cells (%)41.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory16.5 KiB
Average record size in memory527.1 B

Variable types

Numeric11
Text7
Categorical22
Unsupported19
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
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-16023/S/1/datasetView.do

Alerts

인허가취소일자 is highly imbalanced (74.8%)Imbalance
문화체육업종명 is highly imbalanced (55.1%)Imbalance
총층수 is highly imbalanced (51.8%)Imbalance
객실수 is highly imbalanced (66.3%)Imbalance
건축연면적 is highly imbalanced (66.3%)Imbalance
선박총톤수 is highly imbalanced (66.3%)Imbalance
선박척수 is highly imbalanced (66.3%)Imbalance
무대면적 is highly imbalanced (66.3%)Imbalance
좌석수 is highly imbalanced (66.3%)Imbalance
회의실별동시수용인원 is highly imbalanced (66.3%)Imbalance
놀이시설수 is highly imbalanced (66.3%)Imbalance
폐업일자 has 20 (62.5%) missing valuesMissing
휴업시작일자 has 32 (100.0%) missing valuesMissing
휴업종료일자 has 32 (100.0%) missing valuesMissing
재개업일자 has 32 (100.0%) missing valuesMissing
전화번호 has 10 (31.2%) missing valuesMissing
소재지면적 has 32 (100.0%) missing valuesMissing
소재지우편번호 has 4 (12.5%) missing valuesMissing
도로명우편번호 has 14 (43.8%) missing valuesMissing
업태구분명 has 32 (100.0%) missing valuesMissing
제작취급품목내용 has 32 (100.0%) missing valuesMissing
보험기관명 has 32 (100.0%) missing valuesMissing
지상층수 has 22 (68.8%) missing valuesMissing
영문상호명 has 27 (84.4%) missing valuesMissing
영문상호주소 has 28 (87.5%) missing valuesMissing
선박제원 has 32 (100.0%) missing valuesMissing
기념품종류 has 32 (100.0%) missing valuesMissing
시설면적 has 21 (65.6%) missing valuesMissing
놀이기구수내역 has 32 (100.0%) missing valuesMissing
방송시설유무 has 32 (100.0%) missing valuesMissing
발전시설유무 has 32 (100.0%) missing valuesMissing
의무실유무 has 32 (100.0%) missing valuesMissing
안내소유무 has 32 (100.0%) missing valuesMissing
기획여행보험시작일자 has 32 (100.0%) missing valuesMissing
기획여행보험종료일자 has 32 (100.0%) missing valuesMissing
자본금 has 23 (71.9%) missing valuesMissing
보험시작일자 has 32 (100.0%) missing valuesMissing
보험종료일자 has 32 (100.0%) missing valuesMissing
부대시설내역 has 32 (100.0%) missing valuesMissing
시설규모 has 21 (65.6%) missing valuesMissing
지번주소 has unique valuesUnique
도로명주소 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
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
지상층수 has 2 (6.2%) zerosZeros
시설면적 has 1 (3.1%) zerosZeros
자본금 has 2 (6.2%) zerosZeros
시설규모 has 1 (3.1%) zerosZeros

Reproduction

Analysis started2024-05-11 06:11:25.244462
Analysis finished2024-05-11 06:11:26.316837
Duration1.07 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Real number (ℝ)

Distinct13
Distinct (%)40.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3147812.5
Minimum3000000
Maximum3240000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-05-11T15:11:26.427875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3000000
5-th percentile3020000
Q13050000
median3170000
Q33220000
95-th percentile3240000
Maximum3240000
Range240000
Interquartile range (IQR)170000

Descriptive statistics

Standard deviation82958.768
Coefficient of variation (CV)0.026354419
Kurtosis-1.4445499
Mean3147812.5
Median Absolute Deviation (MAD)60000
Skewness-0.4833767
Sum1.0073 × 108
Variance6.8821573 × 109
MonotonicityNot monotonic
2024-05-11T15:11:26.631492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
3220000 6
18.8%
3050000 4
12.5%
3150000 3
9.4%
3170000 3
9.4%
3230000 3
9.4%
3240000 3
9.4%
3020000 2
 
6.2%
3040000 2
 
6.2%
3200000 2
 
6.2%
3000000 1
 
3.1%
Other values (3) 3
9.4%
ValueCountFrequency (%)
3000000 1
 
3.1%
3020000 2
6.2%
3040000 2
6.2%
3050000 4
12.5%
3060000 1
 
3.1%
3080000 1
 
3.1%
3150000 3
9.4%
3170000 3
9.4%
3180000 1
 
3.1%
3200000 2
6.2%
ValueCountFrequency (%)
3240000 3
9.4%
3230000 3
9.4%
3220000 6
18.8%
3200000 2
 
6.2%
3180000 1
 
3.1%
3170000 3
9.4%
3150000 3
9.4%
3080000 1
 
3.1%
3060000 1
 
3.1%
3050000 4
12.5%

관리번호
Text

Distinct21
Distinct (%)65.6%
Missing0
Missing (%)0.0%
Memory size388.0 B
2024-05-11T15:11:26.928454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters640
Distinct characters13
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

Unique12 ?
Unique (%)37.5%

Sample

1st rowCDFI3261112004000001
2nd rowCDFI3261112010000001
3rd rowCDFI3261112011000001
4th rowCDFI3261112010000001
5th rowCDFI3261112015000001
ValueCountFrequency (%)
cdfi3261112011000001 3
 
9.4%
cdfi3261112015000001 3
 
9.4%
cdfi3261111998000001 2
 
6.2%
cdfi3261112014000001 2
 
6.2%
cdfi3261112013000001 2
 
6.2%
cdfi3261112008000001 2
 
6.2%
cdfi3261112009000001 2
 
6.2%
cdfi3261112010000001 2
 
6.2%
cdfi3261112002000001 2
 
6.2%
cdfi3261112002000002 1
 
3.1%
Other values (11) 11
34.4%
2024-05-11T15:11:27.470947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 207
32.3%
1 145
22.7%
2 69
 
10.8%
3 36
 
5.6%
6 33
 
5.2%
C 32
 
5.0%
D 32
 
5.0%
F 32
 
5.0%
I 32
 
5.0%
9 9
 
1.4%
Other values (3) 13
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 512
80.0%
Uppercase Letter 128
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 207
40.4%
1 145
28.3%
2 69
 
13.5%
3 36
 
7.0%
6 33
 
6.4%
9 9
 
1.8%
8 6
 
1.2%
5 4
 
0.8%
4 3
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
C 32
25.0%
D 32
25.0%
F 32
25.0%
I 32
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 512
80.0%
Latin 128
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 207
40.4%
1 145
28.3%
2 69
 
13.5%
3 36
 
7.0%
6 33
 
6.4%
9 9
 
1.8%
8 6
 
1.2%
5 4
 
0.8%
4 3
 
0.6%
Latin
ValueCountFrequency (%)
C 32
25.0%
D 32
25.0%
F 32
25.0%
I 32
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 640
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 207
32.3%
1 145
22.7%
2 69
 
10.8%
3 36
 
5.6%
6 33
 
5.2%
C 32
 
5.0%
D 32
 
5.0%
F 32
 
5.0%
I 32
 
5.0%
9 9
 
1.4%
Other values (3) 13
 
2.0%

인허가일자
Real number (ℝ)

Distinct31
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20080060
Minimum19980820
Maximum20161114
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-05-11T15:11:27.688931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19980820
5-th percentile19986287
Q120020621
median20090568
Q320130180
95-th percentile20150948
Maximum20161114
Range180294
Interquartile range (IQR)109559.25

Descriptive statistics

Standard deviation57914.91
Coefficient of variation (CV)0.0028842
Kurtosis-1.2487477
Mean20080060
Median Absolute Deviation (MAD)50056
Skewness-0.3545232
Sum6.4256194 × 108
Variance3.3541368 × 109
MonotonicityNot monotonic
2024-05-11T15:11:27.928832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
20020621 2
 
6.2%
20041214 1
 
3.1%
20110708 1
 
3.1%
20090129 1
 
3.1%
20130103 1
 
3.1%
20031006 1
 
3.1%
19990520 1
 
3.1%
19980820 1
 
3.1%
20140617 1
 
3.1%
20010206 1
 
3.1%
Other values (21) 21
65.6%
ValueCountFrequency (%)
19980820 1
3.1%
19981113 1
3.1%
19990520 1
3.1%
20000605 1
3.1%
20000925 1
3.1%
20010206 1
3.1%
20020604 1
3.1%
20020621 2
6.2%
20031006 1
3.1%
20041214 1
3.1%
ValueCountFrequency (%)
20161114 1
3.1%
20151214 1
3.1%
20150730 1
3.1%
20150402 1
3.1%
20150324 1
3.1%
20140630 1
3.1%
20140617 1
3.1%
20130412 1
3.1%
20130103 1
3.1%
20120501 1
3.1%

인허가취소일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
30 
20110415
 
1
20201216
 
1

Length

Max length8
Median length4
Mean length4.25
Min length4

Unique

Unique2 ?
Unique (%)6.2%

Sample

1st row20110415
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row20201216

Common Values

ValueCountFrequency (%)
<NA> 30
93.8%
20110415 1
 
3.1%
20201216 1
 
3.1%

Length

2024-05-11T15:11:28.232518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:11:28.425323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
93.8%
20110415 1
 
3.1%
20201216 1
 
3.1%

영업상태코드
Categorical

Distinct3
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size388.0 B
1
18 
3
12 
4
2 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 18
56.2%
3 12
37.5%
4 2
 
6.2%

Length

2024-05-11T15:11:28.628366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:11:28.846016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 18
56.2%
3 12
37.5%
4 2
 
6.2%

영업상태명
Categorical

Distinct3
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size388.0 B
영업/정상
18 
폐업
12 
취소/말소/만료/정지/중지
2 

Length

Max length14
Median length5
Mean length4.4375
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 18
56.2%
폐업 12
37.5%
취소/말소/만료/정지/중지 2
 
6.2%

Length

2024-05-11T15:11:29.044109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:11:29.259093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 18
56.2%
폐업 12
37.5%
취소/말소/만료/정지/중지 2
 
6.2%

상세영업상태코드
Categorical

Distinct4
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size388.0 B
13
18 
3
12 
33
 
1
31
 
1

Length

Max length2
Median length2
Mean length1.625
Min length1

Unique

Unique2 ?
Unique (%)6.2%

Sample

1st row33
2nd row3
3rd row3
4th row3
5th row31

Common Values

ValueCountFrequency (%)
13 18
56.2%
3 12
37.5%
33 1
 
3.1%
31 1
 
3.1%

Length

2024-05-11T15:11:29.429740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:11:29.592678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 18
56.2%
3 12
37.5%
33 1
 
3.1%
31 1
 
3.1%

상세영업상태명
Categorical

Distinct4
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size388.0 B
영업중
18 
폐업
12 
지정취소
 
1
등록취소
 
1

Length

Max length4
Median length3
Mean length2.6875
Min length2

Unique

Unique2 ?
Unique (%)6.2%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 18
56.2%
폐업 12
37.5%
지정취소 1
 
3.1%
등록취소 1
 
3.1%

Length

2024-05-11T15:11:29.780359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:11:29.965066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 18
56.2%
폐업 12
37.5%
지정취소 1
 
3.1%
등록취소 1
 
3.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)100.0%
Missing20
Missing (%)62.5%
Infinite0
Infinite (%)0.0%
Mean20178150
Minimum20101207
Maximum20220819
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-05-11T15:11:30.136835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20101207
5-th percentile20128375
Q120160802
median20185262
Q320193249
95-th percentile20220765
Maximum20220819
Range119612
Interquartile range (IQR)32446.5

Descriptive statistics

Standard deviation32972.294
Coefficient of variation (CV)0.0016340593
Kurtosis1.6645831
Mean20178150
Median Absolute Deviation (MAD)19800
Skewness-0.96045832
Sum2.421378 × 108
Variance1.0871722 × 109
MonotonicityNot monotonic
2024-05-11T15:11:30.351816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
20160422 1
 
3.1%
20160929 1
 
3.1%
20101207 1
 
3.1%
20190422 1
 
3.1%
20200529 1
 
3.1%
20220720 1
 
3.1%
20170407 1
 
3.1%
20180102 1
 
3.1%
20190822 1
 
3.1%
20190816 1
 
3.1%
Other values (2) 2
 
6.2%
(Missing) 20
62.5%
ValueCountFrequency (%)
20101207 1
3.1%
20150604 1
3.1%
20160422 1
3.1%
20160929 1
3.1%
20170407 1
3.1%
20180102 1
3.1%
20190422 1
3.1%
20190816 1
3.1%
20190822 1
3.1%
20200529 1
3.1%
ValueCountFrequency (%)
20220819 1
3.1%
20220720 1
3.1%
20200529 1
3.1%
20190822 1
3.1%
20190816 1
3.1%
20190422 1
3.1%
20180102 1
3.1%
20170407 1
3.1%
20160929 1
3.1%
20160422 1
3.1%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

전화번호
Text

MISSING 

Distinct21
Distinct (%)95.5%
Missing10
Missing (%)31.2%
Memory size388.0 B
2024-05-11T15:11:30.636694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length9.7272727
Min length8

Characters and Unicode

Total characters214
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

Unique20 ?
Unique (%)90.9%

Sample

1st row794-0257
2nd row02-790-8285
3rd row522-3931
4th row02-453-1186
5th row2215-5758
ValueCountFrequency (%)
02-790-8285 2
 
9.1%
02-548-7115 1
 
4.5%
514-3535 1
 
4.5%
476-6677 1
 
4.5%
477-0010 1
 
4.5%
470-5959 1
 
4.5%
02-413-7671 1
 
4.5%
02-422-8900 1
 
4.5%
511-9151 1
 
4.5%
516-8847 1
 
4.5%
Other values (11) 11
50.0%
2024-05-11T15:11:31.481912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 33
15.4%
2 29
13.6%
0 27
12.6%
1 26
12.1%
5 24
11.2%
7 18
8.4%
8 16
7.5%
4 13
 
6.1%
6 11
 
5.1%
9 10
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 181
84.6%
Dash Punctuation 33
 
15.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 29
16.0%
0 27
14.9%
1 26
14.4%
5 24
13.3%
7 18
9.9%
8 16
8.8%
4 13
7.2%
6 11
 
6.1%
9 10
 
5.5%
3 7
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 33
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 214
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 33
15.4%
2 29
13.6%
0 27
12.6%
1 26
12.1%
5 24
11.2%
7 18
8.4%
8 16
7.5%
4 13
 
6.1%
6 11
 
5.1%
9 10
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 214
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 33
15.4%
2 29
13.6%
0 27
12.6%
1 26
12.1%
5 24
11.2%
7 18
8.4%
8 16
7.5%
4 13
 
6.1%
6 11
 
5.1%
9 10
 
4.7%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)82.1%
Missing4
Missing (%)12.5%
Infinite0
Infinite (%)0.0%
Mean141127.54
Minimum110420
Maximum157928
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-05-11T15:11:31.716389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum110420
5-th percentile130101
Q1134814
median139862
Q3151243.75
95-th percentile157895.8
Maximum157928
Range47508
Interquartile range (IQR)16429.75

Descriptive statistics

Standard deviation11022.447
Coefficient of variation (CV)0.078102736
Kurtosis0.65664912
Mean141127.54
Median Absolute Deviation (MAD)8516
Skewness-0.40762976
Sum3951571
Variance1.2149433 × 108
MonotonicityNot monotonic
2024-05-11T15:11:31.897656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
134814 2
 
6.2%
130101 2
 
6.2%
138861 2
 
6.2%
157928 2
 
6.2%
153031 2
 
6.2%
151930 1
 
3.1%
130809 1
 
3.1%
151015 1
 
3.1%
134869 1
 
3.1%
135892 1
 
3.1%
Other values (13) 13
40.6%
(Missing) 4
 
12.5%
ValueCountFrequency (%)
110420 1
3.1%
130101 2
6.2%
130809 1
3.1%
130844 1
3.1%
131848 1
3.1%
134814 2
6.2%
134869 1
3.1%
135513 1
3.1%
135824 1
3.1%
135892 1
3.1%
ValueCountFrequency (%)
157928 2
6.2%
157836 1
3.1%
153031 2
6.2%
153011 1
3.1%
151930 1
3.1%
151015 1
3.1%
150033 1
3.1%
143831 1
3.1%
143803 1
3.1%
142867 1
3.1%

지번주소
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2024-05-11T15:11:32.246508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length32.5
Mean length25.59375
Min length20

Characters and Unicode

Total characters819
Distinct characters105
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

Unique32 ?
Unique (%)100.0%

Sample

1st row서울특별시 종로구 관수동 20번지 국일관드림팰리스 10층
2nd row서울특별시 용산구 이태원동 34-69번지 크라운호텔 지하1층/지하중1층
3rd row서울특별시 용산구 한남동 737-32번지 IP부티크호텔 지하1층
4th row서울특별시 광진구 구의동 595번지
5th row서울특별시 광진구 광장동 188-2
ValueCountFrequency (%)
서울특별시 32
 
20.6%
강남구 6
 
3.9%
지하1층 6
 
3.9%
동대문구 4
 
2.6%
금천구 3
 
1.9%
강서구 3
 
1.9%
지하 3
 
1.9%
강동구 3
 
1.9%
송파구 3
 
1.9%
장안동 3
 
1.9%
Other values (77) 89
57.4%
2024-05-11T15:11:32.858284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
152
18.6%
1 39
 
4.8%
동 39
 
4.8%
지 38
 
4.6%
서 35
 
4.3%
시 34
 
4.2%
구 33
 
4.0%
울 32
 
3.9%
별 32
 
3.9%
특 32
 
3.9%
Other values (95) 353
43.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 489
59.7%
Space Separator 152
 
18.6%
Decimal Number 146
 
17.8%
Dash Punctuation 23
 
2.8%
Other Punctuation 5
 
0.6%
Uppercase Letter 2
 
0.2%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 39
 
8.0%
지 38
 
7.8%
서 35
 
7.2%
시 34
 
7.0%
구 33
 
6.7%
울 32
 
6.5%
별 32
 
6.5%
특 32
 
6.5%
번 27
 
5.5%
층 16
 
3.3%
Other values (77) 171
35.0%
Decimal Number
ValueCountFrequency (%)
1 39
26.7%
5 18
12.3%
2 17
11.6%
3 13
 
8.9%
8 12
 
8.2%
6 12
 
8.2%
4 11
 
7.5%
9 11
 
7.5%
0 7
 
4.8%
7 6
 
4.1%
Other Punctuation
ValueCountFrequency (%)
, 4
80.0%
/ 1
 
20.0%
Uppercase Letter
ValueCountFrequency (%)
I 1
50.0%
P 1
50.0%
Space Separator
ValueCountFrequency (%)
152
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 489
59.7%
Common 328
40.0%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 39
 
8.0%
지 38
 
7.8%
서 35
 
7.2%
시 34
 
7.0%
구 33
 
6.7%
울 32
 
6.5%
별 32
 
6.5%
특 32
 
6.5%
번 27
 
5.5%
층 16
 
3.3%
Other values (77) 171
35.0%
Common
ValueCountFrequency (%)
152
46.3%
1 39
 
11.9%
- 23
 
7.0%
5 18
 
5.5%
2 17
 
5.2%
3 13
 
4.0%
8 12
 
3.7%
6 12
 
3.7%
4 11
 
3.4%
9 11
 
3.4%
Other values (6) 20
 
6.1%
Latin
ValueCountFrequency (%)
I 1
50.0%
P 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 489
59.7%
ASCII 330
40.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
152
46.1%
1 39
 
11.8%
- 23
 
7.0%
5 18
 
5.5%
2 17
 
5.2%
3 13
 
3.9%
8 12
 
3.6%
6 12
 
3.6%
4 11
 
3.3%
9 11
 
3.3%
Other values (8) 22
 
6.7%
Hangul
ValueCountFrequency (%)
동 39
 
8.0%
지 38
 
7.8%
서 35
 
7.2%
시 34
 
7.0%
구 33
 
6.7%
울 32
 
6.5%
별 32
 
6.5%
특 32
 
6.5%
번 27
 
5.5%
층 16
 
3.3%
Other values (77) 171
35.0%

도로명주소
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2024-05-11T15:11:33.230677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length36
Mean length29.4375
Min length23

Characters and Unicode

Total characters942
Distinct characters125
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

Unique32 ?
Unique (%)100.0%

Sample

1st row서울특별시 종로구 수표로 96 (관수동,국일관드림팰리스 10층)
2nd row서울특별시 용산구 녹사평대로 140 (이태원동,크라운호텔 지하1층/지하중1층)
3rd row서울특별시 용산구 이태원로 221 (한남동, IP부티크호텔 지하1층)
4th row서울특별시 광진구 구의강변로 38 (구의동)
5th row서울특별시 광진구 아차산로78길 147 (광장동)
ValueCountFrequency (%)
서울특별시 32
 
17.8%
강남구 6
 
3.3%
지하1층 5
 
2.8%
도산대로 4
 
2.2%
동대문구 4
 
2.2%
송파구 3
 
1.7%
금천구 3
 
1.7%
강동구 3
 
1.7%
장안동 3
 
1.7%
천호대로 3
 
1.7%
Other values (98) 114
63.3%
2024-05-11T15:11:33.925524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
156
 
16.6%
동 39
 
4.1%
시 36
 
3.8%
서 35
 
3.7%
구 34
 
3.6%
로 33
 
3.5%
) 33
 
3.5%
( 33
 
3.5%
울 32
 
3.4%
특 32
 
3.4%
Other values (115) 479
50.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 570
60.5%
Space Separator 156
 
16.6%
Decimal Number 120
 
12.7%
Close Punctuation 33
 
3.5%
Open Punctuation 33
 
3.5%
Other Punctuation 26
 
2.8%
Dash Punctuation 2
 
0.2%
Uppercase Letter 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 39
 
6.8%
시 36
 
6.3%
서 35
 
6.1%
구 34
 
6.0%
로 33
 
5.8%
울 32
 
5.6%
특 32
 
5.6%
별 32
 
5.6%
층 18
 
3.2%
대 15
 
2.6%
Other values (97) 264
46.3%
Decimal Number
ValueCountFrequency (%)
1 30
25.0%
5 16
13.3%
3 15
12.5%
2 14
11.7%
0 13
10.8%
6 10
 
8.3%
4 9
 
7.5%
8 5
 
4.2%
9 4
 
3.3%
7 4
 
3.3%
Other Punctuation
ValueCountFrequency (%)
, 25
96.2%
/ 1
 
3.8%
Uppercase Letter
ValueCountFrequency (%)
I 1
50.0%
P 1
50.0%
Space Separator
ValueCountFrequency (%)
156
100.0%
Close Punctuation
ValueCountFrequency (%)
) 33
100.0%
Open Punctuation
ValueCountFrequency (%)
( 33
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 570
60.5%
Common 370
39.3%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 39
 
6.8%
시 36
 
6.3%
서 35
 
6.1%
구 34
 
6.0%
로 33
 
5.8%
울 32
 
5.6%
특 32
 
5.6%
별 32
 
5.6%
층 18
 
3.2%
대 15
 
2.6%
Other values (97) 264
46.3%
Common
ValueCountFrequency (%)
156
42.2%
) 33
 
8.9%
( 33
 
8.9%
1 30
 
8.1%
, 25
 
6.8%
5 16
 
4.3%
3 15
 
4.1%
2 14
 
3.8%
0 13
 
3.5%
6 10
 
2.7%
Other values (6) 25
 
6.8%
Latin
ValueCountFrequency (%)
I 1
50.0%
P 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 570
60.5%
ASCII 372
39.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
156
41.9%
) 33
 
8.9%
( 33
 
8.9%
1 30
 
8.1%
, 25
 
6.7%
5 16
 
4.3%
3 15
 
4.0%
2 14
 
3.8%
0 13
 
3.5%
6 10
 
2.7%
Other values (8) 27
 
7.3%
Hangul
ValueCountFrequency (%)
동 39
 
6.8%
시 36
 
6.3%
서 35
 
6.1%
구 34
 
6.0%
로 33
 
5.8%
울 32
 
5.6%
특 32
 
5.6%
별 32
 
5.6%
층 18
 
3.2%
대 15
 
2.6%
Other values (97) 264
46.3%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)94.4%
Missing14
Missing (%)43.8%
Infinite0
Infinite (%)0.0%
Mean29978.944
Minimum2033
Maximum157928
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-05-11T15:11:34.106282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2033
5-th percentile4001.6
Q15571
median6023.5
Q38391
95-th percentile154430.25
Maximum157928
Range155895
Interquartile range (IQR)2820

Descriptive statistics

Standard deviation55450.232
Coefficient of variation (CV)1.8496392
Kurtosis2.1406181
Mean29978.944
Median Absolute Deviation (MAD)875.5
Skewness1.9691507
Sum539621
Variance3.0747282 × 109
MonotonicityNot monotonic
2024-05-11T15:11:34.275552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
6013 2
 
6.2%
6152 1
 
3.1%
8754 1
 
3.1%
5327 1
 
3.1%
138861 1
 
3.1%
5558 1
 
3.1%
5610 1
 
3.1%
6026 1
 
3.1%
4349 1
 
3.1%
4969 1
 
3.1%
Other values (7) 7
21.9%
(Missing) 14
43.8%
ValueCountFrequency (%)
2033 1
3.1%
4349 1
3.1%
4969 1
3.1%
5327 1
3.1%
5558 1
3.1%
5610 1
3.1%
6013 2
6.2%
6021 1
3.1%
6026 1
3.1%
6116 1
3.1%
ValueCountFrequency (%)
157928 1
3.1%
153813 1
3.1%
138861 1
3.1%
8776 1
3.1%
8754 1
3.1%
7302 1
3.1%
6152 1
3.1%
6116 1
3.1%
6026 1
3.1%
6021 1
3.1%

사업장명
Text

Distinct31
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size388.0 B
2024-05-11T15:11:34.619126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length12
Mean length8.71875
Min length2

Characters and Unicode

Total characters279
Distinct characters104
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)93.8%

Sample

1st row국일관나이트클럽
2nd row크라운호텔 볼륨(club Volume)
3rd row(주)디엔비코포레이션밤과음악사이이태원아이피호텔점
4th row동서울관광공연식당
5th row한강관광호텔 나이트클럽
ValueCountFrequency (%)
백악관관광나이트 2
 
4.9%
국빈관 2
 
4.9%
무학성 2
 
4.9%
주식회사 1
 
2.4%
volume 1
 
2.4%
디엘루이 1
 
2.4%
국일관나이트클럽 1
 
2.4%
써클 1
 
2.4%
주)더엔서 1
 
2.4%
주)클럽옥타곤 1
 
2.4%
Other values (28) 28
68.3%
2024-05-11T15:11:35.267707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 23
 
8.2%
관 19
 
6.8%
나 17
 
6.1%
트 16
 
5.7%
광 12
 
4.3%
9
 
3.2%
클 7
 
2.5%
럽 6
 
2.2%
( 6
 
2.2%
주 6
 
2.2%
Other values (94) 158
56.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 246
88.2%
Space Separator 9
 
3.2%
Lowercase Letter 9
 
3.2%
Open Punctuation 6
 
2.2%
Close Punctuation 6
 
2.2%
Uppercase Letter 2
 
0.7%
Dash Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 23
 
9.3%
관 19
 
7.7%
나 17
 
6.9%
트 16
 
6.5%
광 12
 
4.9%
클 7
 
2.8%
럽 6
 
2.4%
주 6
 
2.4%
호 6
 
2.4%
텔 5
 
2.0%
Other values (81) 129
52.4%
Lowercase Letter
ValueCountFrequency (%)
l 2
22.2%
u 2
22.2%
m 1
11.1%
e 1
11.1%
o 1
11.1%
b 1
11.1%
c 1
11.1%
Uppercase Letter
ValueCountFrequency (%)
V 1
50.0%
N 1
50.0%
Space Separator
ValueCountFrequency (%)
9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 246
88.2%
Common 22
 
7.9%
Latin 11
 
3.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 23
 
9.3%
관 19
 
7.7%
나 17
 
6.9%
트 16
 
6.5%
광 12
 
4.9%
클 7
 
2.8%
럽 6
 
2.4%
주 6
 
2.4%
호 6
 
2.4%
텔 5
 
2.0%
Other values (81) 129
52.4%
Latin
ValueCountFrequency (%)
l 2
18.2%
u 2
18.2%
m 1
9.1%
e 1
9.1%
o 1
9.1%
V 1
9.1%
b 1
9.1%
c 1
9.1%
N 1
9.1%
Common
ValueCountFrequency (%)
9
40.9%
( 6
27.3%
) 6
27.3%
- 1
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 246
88.2%
ASCII 33
 
11.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 23
 
9.3%
관 19
 
7.7%
나 17
 
6.9%
트 16
 
6.5%
광 12
 
4.9%
클 7
 
2.8%
럽 6
 
2.4%
주 6
 
2.4%
호 6
 
2.4%
텔 5
 
2.0%
Other values (81) 129
52.4%
ASCII
ValueCountFrequency (%)
9
27.3%
( 6
18.2%
) 6
18.2%
l 2
 
6.1%
u 2
 
6.1%
m 1
 
3.0%
e 1
 
3.0%
o 1
 
3.0%
V 1
 
3.0%
b 1
 
3.0%
Other values (3) 3
 
9.1%

최종수정일자
Date

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
Minimum2009-01-28 14:23:12
Maximum2022-08-19 15:38:00
2024-05-11T15:11:35.526718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:11:35.753602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)

데이터갱신구분
Categorical

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
I
23 
U
9 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 23
71.9%
U 9
 
28.1%

Length

2024-05-11T15:11:35.971618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:11:36.158354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 23
71.9%
u 9
 
28.1%

데이터갱신일자
Categorical

Distinct9
Distinct (%)28.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
2018-08-31 23:59:59.0
23 
2019-12-08 02:40:00.0
 
2
2021-01-01 02:40:00.0
 
1
2019-04-24 02:40:00.0
 
1
2022-01-29 02:40:00.0
 
1
Other values (4)
4 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique7 ?
Unique (%)21.9%

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 row2021-01-01 02:40:00.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 23
71.9%
2019-12-08 02:40:00.0 2
 
6.2%
2021-01-01 02:40:00.0 1
 
3.1%
2019-04-24 02:40:00.0 1
 
3.1%
2022-01-29 02:40:00.0 1
 
3.1%
2022-02-10 02:40:00.0 1
 
3.1%
2021-12-06 22:02:00.0 1
 
3.1%
2021-12-07 22:01:00.0 1
 
3.1%
2021-12-07 00:03:00.0 1
 
3.1%

Length

2024-05-11T15:11:36.347595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:11:36.563988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2018-08-31 23
35.9%
23:59:59.0 23
35.9%
02:40:00.0 6
 
9.4%
2019-12-08 2
 
3.1%
2021-12-07 2
 
3.1%
2021-01-01 1
 
1.6%
2019-04-24 1
 
1.6%
2022-01-29 1
 
1.6%
2022-02-10 1
 
1.6%
2021-12-06 1
 
1.6%
Other values (3) 3
 
4.7%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

좌표정보(X)
Real number (ℝ)

Distinct30
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean201266.76
Minimum186892.95
Maximum212111.34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-05-11T15:11:36.832316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum186892.95
5-th percentile187476.09
Q1193716.85
median203365.34
Q3206848.35
95-th percentile211482.45
Maximum212111.34
Range25218.389
Interquartile range (IQR)13131.499

Descriptive statistics

Standard deviation7701.9532
Coefficient of variation (CV)0.038267389
Kurtosis-0.90274714
Mean201266.76
Median Absolute Deviation (MAD)4283.7343
Skewness-0.56157398
Sum6440536.2
Variance59320083
MonotonicityNot monotonic
2024-05-11T15:11:37.090062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
212111.336830711 2
 
6.2%
191191.868732053 2
 
6.2%
199045.043602772 1
 
3.1%
193643.274303943 1
 
3.1%
205018.506913318 1
 
3.1%
193741.376424173 1
 
3.1%
210967.904977713 1
 
3.1%
207068.774903286 1
 
3.1%
207285.647226547 1
 
3.1%
208851.639893799 1
 
3.1%
Other values (20) 20
62.5%
ValueCountFrequency (%)
186892.947389352 1
3.1%
186908.920793249 1
3.1%
187940.144435 1
3.1%
190771.595589599 1
3.1%
191191.868732053 2
6.2%
191650.262823467 1
3.1%
193643.274303943 1
3.1%
193741.376424173 1
3.1%
199045.043602772 1
3.1%
199118.176847228 1
3.1%
ValueCountFrequency (%)
212111.336830711 2
6.2%
210967.904977713 1
3.1%
209602.113978282 1
3.1%
208851.639893799 1
3.1%
208051.884671132 1
3.1%
207285.647226547 1
3.1%
207068.774903286 1
3.1%
206774.874230196 1
3.1%
206199.953197537 1
3.1%
205851.797111459 1
3.1%

좌표정보(Y)
Real number (ℝ)

Distinct30
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean447676.02
Minimum439144.88
Maximum459259.44
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-05-11T15:11:37.339241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum439144.88
5-th percentile439898.81
Q1445408.49
median447841.65
Q3450270.84
95-th percentile454254.1
Maximum459259.44
Range20114.566
Interquartile range (IQR)4862.351

Descriptive statistics

Standard deviation4432.7596
Coefficient of variation (CV)0.0099017132
Kurtosis0.93035938
Mean447676.02
Median Absolute Deviation (MAD)2435.1711
Skewness0.2856603
Sum14325633
Variance19649358
MonotonicityNot monotonic
2024-05-11T15:11:37.608699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
448059.842030801 2
 
6.2%
439144.877856068 2
 
6.2%
451939.677286976 1
 
3.1%
442230.03574985 1
 
3.1%
451331.654449855 1
 
3.1%
442626.137096994 1
 
3.1%
448818.465138021 1
 
3.1%
445402.445944592 1
 
3.1%
445469.00224568 1
 
3.1%
444965.4232772 1
 
3.1%
Other values (20) 20
62.5%
ValueCountFrequency (%)
439144.877856068 2
6.2%
440515.66903538 1
3.1%
442230.03574985 1
3.1%
442626.137096994 1
3.1%
444579.034008591 1
3.1%
444965.4232772 1
3.1%
445402.445944592 1
3.1%
445410.505681503 1
3.1%
445469.00224568 1
3.1%
446234.789725611 1
3.1%
ValueCountFrequency (%)
459259.443978524 1
3.1%
457011.632629502 1
3.1%
451997.934849601 1
3.1%
451939.677286976 1
3.1%
451331.654449855 1
3.1%
451080.986788942 1
3.1%
451057.528462082 1
3.1%
450297.393074396 1
3.1%
450261.991363534 1
3.1%
450218.238925 1
3.1%

문화체육업종명
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
관광극장유흥업
29 
<NA>
3 

Length

Max length7
Median length7
Mean length6.71875
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
관광극장유흥업 29
90.6%
<NA> 3
 
9.4%

Length

2024-05-11T15:11:37.843115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:11:38.015529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
관광극장유흥업 29
90.6%
na 3
 
9.4%

문화사업자구분명
Categorical

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
26 
관광사업
6 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 26
81.2%
관광사업 6
 
18.8%

Length

2024-05-11T15:11:38.205051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:11:38.344350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 26
81.2%
관광사업 6
 
18.8%

지역구분명
Categorical

Distinct6
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
21 
일반상업지역
5 
상업지역
3 
일반주거지역
 
1
준주거지역
 
1

Length

Max length6
Median length4
Mean length4.46875
Min length4

Unique

Unique3 ?
Unique (%)9.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 21
65.6%
일반상업지역 5
 
15.6%
상업지역 3
 
9.4%
일반주거지역 1
 
3.1%
준주거지역 1
 
3.1%
전용주거지역 1
 
3.1%

Length

2024-05-11T15:11:38.523952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:11:38.732102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
65.6%
일반상업지역 5
 
15.6%
상업지역 3
 
9.4%
일반주거지역 1
 
3.1%
준주거지역 1
 
3.1%
전용주거지역 1
 
3.1%

총층수
Categorical

IMBALANCE 

Distinct6
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
25 
0
 
2
11
 
2
4
 
1
12
 
1

Length

Max length4
Median length4
Mean length3.4375
Min length1

Unique

Unique3 ?
Unique (%)9.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 25
78.1%
0 2
 
6.2%
11 2
 
6.2%
4 1
 
3.1%
12 1
 
3.1%
5 1
 
3.1%

Length

2024-05-11T15:11:38.941635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:11:39.118850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 25
78.1%
0 2
 
6.2%
11 2
 
6.2%
4 1
 
3.1%
12 1
 
3.1%
5 1
 
3.1%

주변환경명
Categorical

Distinct3
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
25 
유흥업소밀집지역
5 
기타
 
2

Length

Max length8
Median length4
Mean length4.5
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 25
78.1%
유흥업소밀집지역 5
 
15.6%
기타 2
 
6.2%

Length

2024-05-11T15:11:39.319208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:11:39.508754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 25
78.1%
유흥업소밀집지역 5
 
15.6%
기타 2
 
6.2%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

보험기관명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

건물용도명
Categorical

Distinct5
Distinct (%)15.6%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
23 
근린생활시설
3 
숙박시설
3 
호텔
 
2
기타
 
1

Length

Max length6
Median length4
Mean length4
Min length2

Unique

Unique1 ?
Unique (%)3.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 23
71.9%
근린생활시설 3
 
9.4%
숙박시설 3
 
9.4%
호텔 2
 
6.2%
기타 1
 
3.1%

Length

2024-05-11T15:11:39.699661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:11:39.870138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 23
71.9%
근린생활시설 3
 
9.4%
숙박시설 3
 
9.4%
호텔 2
 
6.2%
기타 1
 
3.1%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)60.0%
Missing22
Missing (%)68.8%
Infinite0
Infinite (%)0.0%
Mean5
Minimum0
Maximum10
Zeros2
Zeros (%)6.2%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-05-11T15:11:39.994588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median6.5
Q38
95-th percentile9.55
Maximum10
Range10
Interquartile range (IQR)7

Descriptive statistics

Standard deviation4.0824829
Coefficient of variation (CV)0.81649658
Kurtosis-2.0717143
Mean5
Median Absolute Deviation (MAD)3
Skewness-0.22045408
Sum50
Variance16.666667
MonotonicityNot monotonic
2024-05-11T15:11:40.118913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
8 3
 
9.4%
0 2
 
6.2%
1 2
 
6.2%
9 1
 
3.1%
10 1
 
3.1%
5 1
 
3.1%
(Missing) 22
68.8%
ValueCountFrequency (%)
0 2
6.2%
1 2
6.2%
5 1
 
3.1%
8 3
9.4%
9 1
 
3.1%
10 1
 
3.1%
ValueCountFrequency (%)
10 1
 
3.1%
9 1
 
3.1%
8 3
9.4%
5 1
 
3.1%
1 2
6.2%
0 2
6.2%

지하층수
Categorical

Distinct5
Distinct (%)15.6%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
20 
3
5 
1
4 
0
 
2
4
 
1

Length

Max length4
Median length4
Mean length2.875
Min length1

Unique

Unique1 ?
Unique (%)3.1%

Sample

1st row<NA>
2nd row1
3rd row1
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 20
62.5%
3 5
 
15.6%
1 4
 
12.5%
0 2
 
6.2%
4 1
 
3.1%

Length

2024-05-11T15:11:40.272575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:11:40.447651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 20
62.5%
3 5
 
15.6%
1 4
 
12.5%
0 2
 
6.2%
4 1
 
3.1%

객실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
30 
0
 
2

Length

Max length4
Median length4
Mean length3.8125
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> 30
93.8%
0 2
 
6.2%

Length

2024-05-11T15:11:40.662716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:11:40.857728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
93.8%
0 2
 
6.2%

건축연면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
30 
0
 
2

Length

Max length4
Median length4
Mean length3.8125
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> 30
93.8%
0 2
 
6.2%

Length

2024-05-11T15:11:41.061084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:11:41.197116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
93.8%
0 2
 
6.2%

영문상호명
Text

MISSING 

Distinct5
Distinct (%)100.0%
Missing27
Missing (%)84.4%
Memory size388.0 B
2024-05-11T15:11:41.370935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length23
Mean length21
Min length5

Characters and Unicode

Total characters105
Distinct characters18
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

Unique5 ?
Unique (%)100.0%

Sample

1st rowNOSTALGIA TOURIST NIGHT
2nd rowNEW FACE HOTEL TOURIST NIGHT
3rd rowKOOK BIN KWAN
4th rowKOREA
5th rowSIN HAN KOOK KWAN TOURIST NIGHT CLUB
ValueCountFrequency (%)
tourist 3
15.8%
night 3
15.8%
kook 2
10.5%
kwan 2
10.5%
nostalgia 1
 
5.3%
new 1
 
5.3%
face 1
 
5.3%
hotel 1
 
5.3%
bin 1
 
5.3%
korea 1
 
5.3%
Other values (3) 3
15.8%
2024-05-11T15:11:41.755791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
14
13.3%
T 11
10.5%
N 10
9.5%
O 10
9.5%
I 9
 
8.6%
A 7
 
6.7%
K 7
 
6.7%
H 5
 
4.8%
S 5
 
4.8%
E 4
 
3.8%
Other values (8) 23
21.9%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 91
86.7%
Space Separator 14
 
13.3%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
T 11
12.1%
N 10
11.0%
O 10
11.0%
I 9
9.9%
A 7
 
7.7%
K 7
 
7.7%
H 5
 
5.5%
S 5
 
5.5%
E 4
 
4.4%
U 4
 
4.4%
Other values (7) 19
20.9%
Space Separator
ValueCountFrequency (%)
14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 91
86.7%
Common 14
 
13.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
T 11
12.1%
N 10
11.0%
O 10
11.0%
I 9
9.9%
A 7
 
7.7%
K 7
 
7.7%
H 5
 
5.5%
S 5
 
5.5%
E 4
 
4.4%
U 4
 
4.4%
Other values (7) 19
20.9%
Common
ValueCountFrequency (%)
14
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 105
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
14
13.3%
T 11
10.5%
N 10
9.5%
O 10
9.5%
I 9
 
8.6%
A 7
 
6.7%
K 7
 
6.7%
H 5
 
4.8%
S 5
 
4.8%
E 4
 
3.8%
Other values (8) 23
21.9%

영문상호주소
Text

MISSING 

Distinct3
Distinct (%)75.0%
Missing28
Missing (%)87.5%
Memory size388.0 B
2024-05-11T15:11:41.956730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length30
Mean length29.75
Min length29

Characters and Unicode

Total characters119
Distinct characters23
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)50.0%

Sample

1st rowTourist Theater Entertainments
2nd rowTourist Theater Entertainments
3rd rowTOURIST THEATER ENTERTAINMENT
4th rowTOURIST THEATER ENTERTAINMENT
ValueCountFrequency (%)
tourist 4
33.3%
theater 4
33.3%
entertainments 2
16.7%
entertainment 2
16.7%
2024-05-11T15:11:42.304965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
T 18
15.1%
E 12
 
10.1%
t 10
 
8.4%
9
 
7.6%
e 8
 
6.7%
n 6
 
5.0%
R 6
 
5.0%
N 6
 
5.0%
r 6
 
5.0%
i 4
 
3.4%
Other values (13) 34
28.6%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 60
50.4%
Lowercase Letter 50
42.0%
Space Separator 9
 
7.6%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
T 18
30.0%
E 12
20.0%
R 6
 
10.0%
N 6
 
10.0%
A 4
 
6.7%
I 4
 
6.7%
H 2
 
3.3%
S 2
 
3.3%
U 2
 
3.3%
O 2
 
3.3%
Lowercase Letter
ValueCountFrequency (%)
t 10
20.0%
e 8
16.0%
n 6
12.0%
r 6
12.0%
i 4
 
8.0%
s 4
 
8.0%
a 4
 
8.0%
u 2
 
4.0%
m 2
 
4.0%
o 2
 
4.0%
Space Separator
ValueCountFrequency (%)
9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 110
92.4%
Common 9
 
7.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
T 18
16.4%
E 12
 
10.9%
t 10
 
9.1%
e 8
 
7.3%
n 6
 
5.5%
R 6
 
5.5%
N 6
 
5.5%
r 6
 
5.5%
i 4
 
3.6%
s 4
 
3.6%
Other values (12) 30
27.3%
Common
ValueCountFrequency (%)
9
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 119
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
T 18
15.1%
E 12
 
10.1%
t 10
 
8.4%
9
 
7.6%
e 8
 
6.7%
n 6
 
5.0%
R 6
 
5.0%
N 6
 
5.0%
r 6
 
5.0%
i 4
 
3.4%
Other values (13) 34
28.6%

선박총톤수
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
30 
0
 
2

Length

Max length4
Median length4
Mean length3.8125
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> 30
93.8%
0 2
 
6.2%

Length

2024-05-11T15:11:42.506725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:11:42.686713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
93.8%
0 2
 
6.2%

선박척수
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
30 
0
 
2

Length

Max length4
Median length4
Mean length3.8125
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> 30
93.8%
0 2
 
6.2%

Length

2024-05-11T15:11:42.856835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:11:43.016569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
93.8%
0 2
 
6.2%

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

무대면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
30 
0
 
2

Length

Max length4
Median length4
Mean length3.8125
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> 30
93.8%
0 2
 
6.2%

Length

2024-05-11T15:11:43.169862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:11:43.322876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
93.8%
0 2
 
6.2%

좌석수
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
30 
0
 
2

Length

Max length4
Median length4
Mean length3.8125
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> 30
93.8%
0 2
 
6.2%

Length

2024-05-11T15:11:43.479710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:11:43.963982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
93.8%
0 2
 
6.2%

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

회의실별동시수용인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
30 
0
 
2

Length

Max length4
Median length4
Mean length3.8125
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> 30
93.8%
0 2
 
6.2%

Length

2024-05-11T15:11:44.173413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:11:44.352087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
93.8%
0 2
 
6.2%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)100.0%
Missing21
Missing (%)65.6%
Infinite0
Infinite (%)0.0%
Mean776.44
Minimum0
Maximum1661.78
Zeros1
Zeros (%)3.1%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-05-11T15:11:44.489341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile30.5
Q1322.6
median750.17
Q31197.16
95-th percentile1446.35
Maximum1661.78
Range1661.78
Interquartile range (IQR)874.56

Descriptive statistics

Standard deviation560.96177
Coefficient of variation (CV)0.72247922
Kurtosis-1.2461679
Mean776.44
Median Absolute Deviation (MAD)457.45
Skewness-0.10741584
Sum8540.84
Variance314678.1
MonotonicityNot monotonic
2024-05-11T15:11:44.665879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1230.92 1
 
3.1%
1186.7 1
 
3.1%
1172.39 1
 
3.1%
104.5 1
 
3.1%
61.0 1
 
3.1%
625.06 1
 
3.1%
0.0 1
 
3.1%
1661.78 1
 
3.1%
1207.62 1
 
3.1%
540.7 1
 
3.1%
(Missing) 21
65.6%
ValueCountFrequency (%)
0.0 1
3.1%
61.0 1
3.1%
104.5 1
3.1%
540.7 1
3.1%
625.06 1
3.1%
750.17 1
3.1%
1172.39 1
3.1%
1186.7 1
3.1%
1207.62 1
3.1%
1230.92 1
3.1%
ValueCountFrequency (%)
1661.78 1
3.1%
1230.92 1
3.1%
1207.62 1
3.1%
1186.7 1
3.1%
1172.39 1
3.1%
750.17 1
3.1%
625.06 1
3.1%
540.7 1
3.1%
104.5 1
3.1%
61.0 1
3.1%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

놀이시설수
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
30 
0
 
2

Length

Max length4
Median length4
Mean length3.8125
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> 30
93.8%
0 2
 
6.2%

Length

2024-05-11T15:11:44.865597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:11:45.047130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
93.8%
0 2
 
6.2%

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

자본금
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)66.7%
Missing23
Missing (%)71.9%
Infinite0
Infinite (%)0.0%
Mean5.5555556 × 108
Minimum0
Maximum2.4 × 109
Zeros2
Zeros (%)6.2%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-05-11T15:11:45.193918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11 × 108
median5 × 108
Q35 × 108
95-th percentile1.76 × 109
Maximum2.4 × 109
Range2.4 × 109
Interquartile range (IQR)4 × 108

Descriptive statistics

Standard deviation7.4349027 × 108
Coefficient of variation (CV)1.3382825
Kurtosis5.7957887
Mean5.5555556 × 108
Median Absolute Deviation (MAD)3 × 108
Skewness2.2705813
Sum5 × 109
Variance5.5277778 × 1017
MonotonicityNot monotonic
2024-05-11T15:11:45.353079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
500000000 3
 
9.4%
0 2
 
6.2%
2400000000 1
 
3.1%
200000000 1
 
3.1%
100000000 1
 
3.1%
800000000 1
 
3.1%
(Missing) 23
71.9%
ValueCountFrequency (%)
0 2
6.2%
100000000 1
 
3.1%
200000000 1
 
3.1%
500000000 3
9.4%
800000000 1
 
3.1%
2400000000 1
 
3.1%
ValueCountFrequency (%)
2400000000 1
 
3.1%
800000000 1
 
3.1%
500000000 3
9.4%
200000000 1
 
3.1%
100000000 1
 
3.1%
0 2
6.2%

보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

시설규모
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)100.0%
Missing21
Missing (%)65.6%
Infinite0
Infinite (%)0.0%
Mean776.54545
Minimum0
Maximum1662
Zeros1
Zeros (%)3.1%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-05-11T15:11:45.526251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile30.5
Q1323
median750
Q31197.5
95-th percentile1446.5
Maximum1662
Range1662
Interquartile range (IQR)874.5

Descriptive statistics

Standard deviation560.95657
Coefficient of variation (CV)0.72237442
Kurtosis-1.2457018
Mean776.54545
Median Absolute Deviation (MAD)458
Skewness-0.10709047
Sum8542
Variance314672.27
MonotonicityNot monotonic
2024-05-11T15:11:45.696250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1231 1
 
3.1%
1187 1
 
3.1%
1172 1
 
3.1%
105 1
 
3.1%
61 1
 
3.1%
625 1
 
3.1%
0 1
 
3.1%
1662 1
 
3.1%
1208 1
 
3.1%
541 1
 
3.1%
(Missing) 21
65.6%
ValueCountFrequency (%)
0 1
3.1%
61 1
3.1%
105 1
3.1%
541 1
3.1%
625 1
3.1%
750 1
3.1%
1172 1
3.1%
1187 1
3.1%
1208 1
3.1%
1231 1
3.1%
ValueCountFrequency (%)
1662 1
3.1%
1231 1
3.1%
1208 1
3.1%
1187 1
3.1%
1172 1
3.1%
750 1
3.1%
625 1
3.1%
541 1
3.1%
105 1
3.1%
61 1
3.1%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
03000000CDFI326111200400000120041214201104154취소/말소/만료/정지/중지33지정취소<NA><NA><NA><NA><NA><NA>110420서울특별시 종로구 관수동 20번지 국일관드림팰리스 10층서울특별시 종로구 수표로 96 (관수동,국일관드림팰리스 10층)<NA>국일관나이트클럽2011-04-15 14:28:49I2018-08-31 23:59:59.0<NA>199045.043603451939.677287관광극장유흥업<NA>상업지역<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13020000CDFI326111201000000120100210<NA>3폐업3폐업20160422<NA><NA><NA>794-0257<NA>140863서울특별시 용산구 이태원동 34-69번지 크라운호텔 지하1층/지하중1층서울특별시 용산구 녹사평대로 140 (이태원동,크라운호텔 지하1층/지하중1층)<NA>크라운호텔 볼륨(club Volume)2016-04-29 09:15:43I2018-08-31 23:59:59.0<NA>199118.176847447688.488303관광극장유흥업<NA>일반주거지역<NA>기타<NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1230.92<NA><NA><NA><NA><NA><NA><NA><NA>2400000000<NA><NA><NA>1231
23020000CDFI326111201100000120110411<NA>3폐업3폐업20160929<NA><NA><NA>02-790-8285<NA>140893서울특별시 용산구 한남동 737-32번지 IP부티크호텔 지하1층서울특별시 용산구 이태원로 221 (한남동, IP부티크호텔 지하1층)4349(주)디엔비코포레이션밤과음악사이이태원아이피호텔점2016-09-29 15:49:53I2018-08-31 23:59:59.0<NA>199788.755748448121.175798관광극장유흥업<NA><NA><NA><NA><NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1186.7<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1187
33040000CDFI326111201000000120100709<NA>3폐업3폐업20101207<NA><NA><NA>522-3931<NA>143831서울특별시 광진구 구의동 595번지서울특별시 광진구 구의강변로 38 (구의동)<NA>동서울관광공연식당2010-12-08 16:02:16I2018-08-31 23:59:59.0<NA>208051.884671447994.805558관광극장유흥업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43040000CDFI326111201500000120150324202012164취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA>02-453-1186<NA>143803서울특별시 광진구 광장동 188-2서울특별시 광진구 아차산로78길 147 (광장동)4969한강관광호텔 나이트클럽2020-12-30 16:14:10U2021-01-01 02:40:00.0<NA>209602.113978449468.709626관광극장유흥업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53050000CDFI326111200000000120000925<NA>3폐업3폐업20190422<NA><NA><NA>2215-5758<NA>130101서울특별시 동대문구 장안동 366-7번지서울특별시 동대문구 장한로 110 (장안동)<NA>경남호텔로마관광나이트2019-04-22 15:22:12U2019-04-24 02:40:00.0<NA>206199.953198451997.93485관광극장유흥업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63050000CDFI326111200000000220000605<NA>1영업/정상13영업중<NA><NA><NA><NA>2217-0603<NA>130101서울특별시 동대문구 장안동 465-2서울특별시 동대문구 장한로2길 36 (장안동)<NA>타우르스2022-01-27 14:18:11U2022-01-29 02:40:00.0<NA>205851.797111451057.528462관광극장유흥업<NA><NA>0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>01172.39<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>1172
73060000CDFI326111201200000120120501<NA>3폐업3폐업20200529<NA><NA><NA><NA><NA>131848서울특별시 중랑구 묵동 165 지하서울특별시 중랑구 중랑역로 262, 지하층 (묵동)2033백악관관광나이트2022-02-08 08:48:29U2022-02-10 02:40:00.0<NA>206774.87423457011.63263관광극장유흥업<NA>일반상업지역4기타<NA><NA>근린생활시설13<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>104.5<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>105
83080000CDFI326111201100000120110215<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>142867서울특별시 강북구 번동 449-1번지서울특별시 강북구 도봉로 308 (번동)<NA>무학성 캬바레나이트2011-11-15 08:36:32I2018-08-31 23:59:59.0<NA>202032.757632459259.443979관광극장유흥업<NA>일반상업지역<NA><NA><NA><NA>근린생활시설<NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93150000CDFI326111200800000320081203<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>157928서울특별시 강서구 화곡동 1110번지서울특별시 강서구 화곡로 354-3 (화곡동)157928노스탈자 관광나이트2013-12-26 13:23:21I2018-08-31 23:59:59.0<NA>186908.920793450297.393074관광극장유흥업관광사업상업지역12유흥업소밀집지역<NA><NA>호텔93<NA><NA>NOSTALGIA TOURIST NIGHTTourist Theater Entertainments<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>500000000<NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
223220000CDFI326111201500000120150402<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>135513서울특별시 강남구 역삼동 701-1번지 아르누보씨티서울특별시 강남구 언주로 506, 지하1,2층 (역삼동, 아르누보씨티)6152주식회사 디에이홀2015-04-02 09:34:48I2018-08-31 23:59:59.0<NA>203716.938086444579.034009관광극장유흥업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>100000000<NA><NA><NA><NA>
233220000CDFI326111201500000220150730<NA>1영업/정상13영업중<NA><NA><NA><NA>511-9151<NA>135892서울특별시 강남구 신사동 587-1번지 지하1층서울특별시 강남구 도산대로 205, 지하1층층 (신사동)6026주식회사신드롬2015-07-30 09:27:52I2018-08-31 23:59:59.0<NA>202471.536205446478.944977관광극장유흥업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
243230000CDFI326111201500000120151214<NA>3폐업3폐업20190822<NA><NA><NA>02-422-8900<NA><NA>서울특별시 송파구 석촌동 158번지 레이크호텔 지하 2층, 3층서울특별시 송파구 석촌호수로 216 (석촌동, 호텔 레이크)5610비타민나이트클럽2019-12-06 14:54:56U2019-12-08 02:40:00.0<NA>208851.639894444965.423277관광극장유흥업<NA>준주거지역<NA><NA><NA><NA>숙박시설104<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
253230000CDFI326111200100000120010206<NA>3폐업3폐업20190816<NA><NA><NA>02-413-7671<NA>138861서울특별시 송파구 잠실동 184번지서울특별시 송파구 올림픽로 114 (잠실동)5558국빈관2019-12-06 14:55:20U2019-12-08 02:40:00.0<NA>207285.647227445469.002246관광극장유흥업<NA>상업지역<NA>유흥업소밀집지역<NA><NA>근린생활시설1<NA><NA><NA>KOOK BIN KWANTOURIST THEATER ENTERTAINMENT<NA><NA><NA><NA><NA><NA><NA>540.7<NA><NA><NA><NA><NA><NA><NA><NA>800000000<NA><NA><NA>541
263230000CDFI326111201400000120140617<NA>3폐업3폐업20150604<NA><NA><NA>02-790-8285<NA>138861서울특별시 송파구 잠실동 179-1번지서울특별시 송파구 올림픽로10길 8, 지하1층 (잠실동)138861(주)클럽밤사잠실점2015-06-04 16:57:48I2018-08-31 23:59:59.0<NA>207068.774903445402.445945관광극장유흥업<NA>전용주거지역5유흥업소밀집지역<NA><NA>숙박시설51<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>750.17<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>750
273240000CDFI326111199800000119980820<NA>1영업/정상13영업중<NA><NA><NA><NA>470-5959<NA>134869서울특별시 강동구 천호동 355번지서울특별시 강동구 올림픽로 674 (천호동)5327코리아2011-10-30 14:32:14I2018-08-31 23:59:59.0<NA>210967.904978448818.465138관광극장유흥업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>KOREA<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
283240000CDFI326111199900000119990520<NA>1영업/정상13영업중<NA><NA><NA><NA>477-0010<NA>134814서울특별시 강동구 길동 459-2번지 지하1층서울특별시 강동구 천호대로 1135 (길동,지하1층)<NA>신한국관관광나이트2013-05-22 14:13:42I2018-08-31 23:59:59.0<NA>212111.336831448059.842031관광극장유흥업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>SIN HAN KOOK KWAN TOURIST NIGHT CLUBTOURIST THEATER ENTERTAINMENT<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
293240000CDFI326111200300000120031006<NA>1영업/정상13영업중<NA><NA><NA><NA>476-6677<NA>134814서울특별시 강동구 길동 459-2번지 (6층)서울특별시 강동구 천호대로 1135 (길동,(6층))<NA>천지관광나이트2009-01-28 14:23:12I2018-08-31 23:59:59.0<NA>212111.336831448059.842031관광극장유흥업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
303200000CDFI326111201300000120130103<NA>3폐업3폐업20220819<NA><NA><NA><NA><NA>151015서울특별시 관악구 신림동 1424-22 지하1층서울특별시 관악구 신림로 352, 지하1층 (신림동)8754일번지성인디스코나이트2022-08-19 15:38:00U2021-12-07 22:01:00.0<NA>193741.376424442626.137097<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
313050000CDFI326111200900000120090129<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2244-1050<NA>130809서울특별시 동대문구 답십리동 961-9 5층서울특별시 동대문구 고미술로 99 (답십리동,5층)<NA>무학성2022-07-01 15:29:48U2021-12-07 00:03:00.0<NA>205018.506913451331.65445<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>