Overview

Dataset statistics

Number of variables63
Number of observations60
Missing cells1976
Missing cells (%)52.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory32.3 KiB
Average record size in memory551.2 B

Variable types

Numeric12
Categorical15
Text8
Unsupported27
DateTime1

Dataset

Description6270000_대구광역시_07_24_03_P_외국인전용유흥음식점업_8월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000090718&dataSetDetailId=DDI_0000090770&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스ID has constant value ""Constant
문화체육업종명 has constant value ""Constant
주변환경명 has constant value ""Constant
인허가취소일자 is highly imbalanced (81.7%)Imbalance
지역구분명 is highly imbalanced (64.9%)Imbalance
지상층수 is highly imbalanced (64.1%)Imbalance
자본금 is highly imbalanced (73.1%)Imbalance
폐업일자 has 18 (30.0%) missing valuesMissing
휴업시작일자 has 60 (100.0%) missing valuesMissing
휴업종료일자 has 60 (100.0%) missing valuesMissing
재개업일자 has 60 (100.0%) missing valuesMissing
소재지전화 has 26 (43.3%) missing valuesMissing
소재지면적 has 60 (100.0%) missing valuesMissing
소재지우편번호 has 6 (10.0%) missing valuesMissing
도로명전체주소 has 1 (1.7%) missing valuesMissing
도로명우편번호 has 14 (23.3%) missing valuesMissing
업태구분명 has 60 (100.0%) missing valuesMissing
총층수 has 52 (86.7%) missing valuesMissing
주변환경명 has 58 (96.7%) missing valuesMissing
제작취급품목내용 has 60 (100.0%) missing valuesMissing
보험기관명 has 60 (100.0%) missing valuesMissing
건물용도명 has 54 (90.0%) missing valuesMissing
객실수 has 60 (100.0%) missing valuesMissing
건축연면적 has 60 (100.0%) missing valuesMissing
영문상호명 has 39 (65.0%) missing valuesMissing
선박총톤수 has 60 (100.0%) missing valuesMissing
선박척수 has 60 (100.0%) missing valuesMissing
선박제원 has 60 (100.0%) missing valuesMissing
무대면적 has 60 (100.0%) missing valuesMissing
좌석수 has 60 (100.0%) missing valuesMissing
기념품종류 has 60 (100.0%) missing valuesMissing
회의실별동시수용인원 has 60 (100.0%) missing valuesMissing
시설면적 has 44 (73.3%) missing valuesMissing
놀이기구수내역 has 60 (100.0%) missing valuesMissing
놀이시설수 has 60 (100.0%) missing valuesMissing
방송시설유무 has 60 (100.0%) missing valuesMissing
발전시설유무 has 60 (100.0%) missing valuesMissing
의무실유무 has 60 (100.0%) missing valuesMissing
안내소유무 has 60 (100.0%) missing valuesMissing
기획여행보험시작일자 has 60 (100.0%) missing valuesMissing
기획여행보험종료일자 has 60 (100.0%) missing valuesMissing
보험시작일자 has 60 (100.0%) missing valuesMissing
보험종료일자 has 60 (100.0%) missing valuesMissing
부대시설내역 has 60 (100.0%) missing valuesMissing
시설규모 has 44 (73.3%) missing valuesMissing
번호 has unique valuesUnique
인허가일자 has unique valuesUnique
사업장명 has unique valuesUnique
최종수정시점 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
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
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
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
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

Reproduction

Analysis started2023-12-10 18:11:30.526037
Analysis finished2023-12-10 18:11:31.266701
Duration0.74 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct60
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.5
Minimum1
Maximum60
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-11T03:11:31.347606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.95
Q115.75
median30.5
Q345.25
95-th percentile57.05
Maximum60
Range59
Interquartile range (IQR)29.5

Descriptive statistics

Standard deviation17.464249
Coefficient of variation (CV)0.57259833
Kurtosis-1.2
Mean30.5
Median Absolute Deviation (MAD)15
Skewness0
Sum1830
Variance305
MonotonicityStrictly increasing
2023-12-11T03:11:31.510141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.7%
32 1
 
1.7%
34 1
 
1.7%
35 1
 
1.7%
36 1
 
1.7%
37 1
 
1.7%
38 1
 
1.7%
39 1
 
1.7%
40 1
 
1.7%
41 1
 
1.7%
Other values (50) 50
83.3%
ValueCountFrequency (%)
1 1
1.7%
2 1
1.7%
3 1
1.7%
4 1
1.7%
5 1
1.7%
6 1
1.7%
7 1
1.7%
8 1
1.7%
9 1
1.7%
10 1
1.7%
ValueCountFrequency (%)
60 1
1.7%
59 1
1.7%
58 1
1.7%
57 1
1.7%
56 1
1.7%
55 1
1.7%
54 1
1.7%
53 1
1.7%
52 1
1.7%
51 1
1.7%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
외국인전용유흥음식점업
60 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
외국인전용유흥음식점업 60
100.0%

Length

2023-12-11T03:11:31.662367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:11:31.763016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
외국인전용유흥음식점업 60
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
07_24_03_P
60 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row07_24_03_P
2nd row07_24_03_P
3rd row07_24_03_P
4th row07_24_03_P
5th row07_24_03_P

Common Values

ValueCountFrequency (%)
07_24_03_P 60
100.0%

Length

2023-12-11T03:11:31.865639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:11:31.992481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
07_24_03_p 60
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3449666.7
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-11T03:11:32.135234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3420000
Q13440000
median3450000
Q33470000
95-th percentile3470000
Maximum3480000
Range70000
Interquartile range (IQR)30000

Descriptive statistics

Standard deviation19568.798
Coefficient of variation (CV)0.0056726634
Kurtosis-1.1585018
Mean3449666.7
Median Absolute Deviation (MAD)20000
Skewness-0.30278056
Sum2.0698 × 108
Variance3.8293785 × 108
MonotonicityIncreasing
2023-12-11T03:11:32.273344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 19
31.7%
3440000 13
21.7%
3420000 10
16.7%
3450000 8
13.3%
3460000 5
 
8.3%
3430000 2
 
3.3%
3480000 2
 
3.3%
3410000 1
 
1.7%
ValueCountFrequency (%)
3410000 1
 
1.7%
3420000 10
16.7%
3430000 2
 
3.3%
3440000 13
21.7%
3450000 8
13.3%
3460000 5
 
8.3%
3470000 19
31.7%
3480000 2
 
3.3%
ValueCountFrequency (%)
3480000 2
 
3.3%
3470000 19
31.7%
3460000 5
 
8.3%
3450000 8
13.3%
3440000 13
21.7%
3430000 2
 
3.3%
3420000 10
16.7%
3410000 1
 
1.7%

관리번호
Text

Distinct31
Distinct (%)51.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
2023-12-11T03:11:32.496863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1200
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

Unique17 ?
Unique (%)28.3%

Sample

1st rowCDFI3261032002000001
2nd rowCDFI3261032003000001
3rd rowCDFI3261032010000001
4th rowCDFI3261032012000002
5th rowCDFI3261032013000001
ValueCountFrequency (%)
cdfi3261032010000001 6
 
10.0%
cdfi3261032012000001 5
 
8.3%
cdfi3261032009000001 5
 
8.3%
cdfi3261032013000001 4
 
6.7%
cdfi3261032014000001 4
 
6.7%
cdfi3261032011000001 3
 
5.0%
cdfi3261032003000001 2
 
3.3%
cdfi3261032002000001 2
 
3.3%
cdfi3261032005000001 2
 
3.3%
cdfi3261032009000002 2
 
3.3%
Other values (21) 25
41.7%
2023-12-11T03:11:32.885647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 451
37.6%
1 142
 
11.8%
2 138
 
11.5%
3 130
 
10.8%
6 63
 
5.2%
C 60
 
5.0%
D 60
 
5.0%
F 60
 
5.0%
I 60
 
5.0%
9 16
 
1.3%
Other values (4) 20
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 960
80.0%
Uppercase Letter 240
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 451
47.0%
1 142
 
14.8%
2 138
 
14.4%
3 130
 
13.5%
6 63
 
6.6%
9 16
 
1.7%
4 7
 
0.7%
5 6
 
0.6%
8 5
 
0.5%
7 2
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
C 60
25.0%
D 60
25.0%
F 60
25.0%
I 60
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 960
80.0%
Latin 240
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 451
47.0%
1 142
 
14.8%
2 138
 
14.4%
3 130
 
13.5%
6 63
 
6.6%
9 16
 
1.7%
4 7
 
0.7%
5 6
 
0.6%
8 5
 
0.5%
7 2
 
0.2%
Latin
ValueCountFrequency (%)
C 60
25.0%
D 60
25.0%
F 60
25.0%
I 60
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1200
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 451
37.6%
1 142
 
11.8%
2 138
 
11.5%
3 130
 
10.8%
6 63
 
5.2%
C 60
 
5.0%
D 60
 
5.0%
F 60
 
5.0%
I 60
 
5.0%
9 16
 
1.3%
Other values (4) 20
 
1.7%

인허가일자
Real number (ℝ)

UNIQUE 

Distinct60
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20102750
Minimum19991209
Maximum20191115
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-11T03:11:33.075443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19991209
5-th percentile20030054
Q120087897
median20101020
Q320130814
95-th percentile20161466
Maximum20191115
Range199906
Interquartile range (IQR)42917.5

Descriptive statistics

Standard deviation40766.126
Coefficient of variation (CV)0.002027888
Kurtosis0.46289667
Mean20102750
Median Absolute Deviation (MAD)20306
Skewness-0.28077697
Sum1.206165 × 109
Variance1.661877 × 109
MonotonicityNot monotonic
2023-12-11T03:11:33.586105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20021211 1
 
1.7%
20050829 1
 
1.7%
20120925 1
 
1.7%
20120126 1
 
1.7%
20140930 1
 
1.7%
20100824 1
 
1.7%
20130812 1
 
1.7%
20141204 1
 
1.7%
20160427 1
 
1.7%
20080414 1
 
1.7%
Other values (50) 50
83.3%
ValueCountFrequency (%)
19991209 1
1.7%
20021211 1
1.7%
20021220 1
1.7%
20030519 1
1.7%
20030722 1
1.7%
20050304 1
1.7%
20050425 1
1.7%
20050829 1
1.7%
20051230 1
1.7%
20070501 1
1.7%
ValueCountFrequency (%)
20191115 1
1.7%
20191011 1
1.7%
20181210 1
1.7%
20160427 1
1.7%
20160302 1
1.7%
20150515 1
1.7%
20141204 1
1.7%
20141015 1
1.7%
20140930 1
1.7%
20140619 1
1.7%

인허가취소일자
Categorical

IMBALANCE 

Distinct4
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
<NA>
57 
20140613
 
1
20140812
 
1
20100201
 
1

Length

Max length8
Median length4
Mean length4.2
Min length4

Unique

Unique3 ?
Unique (%)5.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 57
95.0%
20140613 1
 
1.7%
20140812 1
 
1.7%
20100201 1
 
1.7%

Length

2023-12-11T03:11:33.754144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:11:33.899621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 57
95.0%
20140613 1
 
1.7%
20140812 1
 
1.7%
20100201 1
 
1.7%

영업상태구분코드
Categorical

Distinct3
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
3
42 
1
15 
4
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 42
70.0%
1 15
 
25.0%
4 3
 
5.0%

Length

2023-12-11T03:11:34.023030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:11:34.140642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 42
70.0%
1 15
 
25.0%
4 3
 
5.0%

영업상태명
Categorical

Distinct3
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
폐업
42 
영업/정상
15 
취소/말소/만료/정지/중지
 
3

Length

Max length14
Median length2
Mean length3.35
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 42
70.0%
영업/정상 15
 
25.0%
취소/말소/만료/정지/중지 3
 
5.0%

Length

2023-12-11T03:11:34.258190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:11:34.372864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 42
70.0%
영업/정상 15
 
25.0%
취소/말소/만료/정지/중지 3
 
5.0%

상세영업상태코드
Categorical

Distinct4
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
3
42 
13
15 
33
 
2
31
 
1

Length

Max length2
Median length1
Mean length1.3
Min length1

Unique

Unique1 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
3 42
70.0%
13 15
 
25.0%
33 2
 
3.3%
31 1
 
1.7%

Length

2023-12-11T03:11:34.494745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:11:34.605138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 42
70.0%
13 15
 
25.0%
33 2
 
3.3%
31 1
 
1.7%

상세영업상태명
Categorical

Distinct4
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
폐업
42 
영업중
15 
지정취소
 
2
등록취소
 
1

Length

Max length4
Median length2
Mean length2.35
Min length2

Unique

Unique1 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 42
70.0%
영업중 15
 
25.0%
지정취소 2
 
3.3%
등록취소 1
 
1.7%

Length

2023-12-11T03:11:34.729870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:11:34.901547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 42
70.0%
영업중 15
 
25.0%
지정취소 2
 
3.3%
등록취소 1
 
1.7%

폐업일자
Real number (ℝ)

MISSING 

Distinct39
Distinct (%)92.9%
Missing18
Missing (%)30.0%
Infinite0
Infinite (%)0.0%
Mean20152405
Minimum20080228
Maximum20200909
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-11T03:11:35.094870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20080228
5-th percentile20081791
Q120132830
median20161005
Q320170185
95-th percentile20200337
Maximum20200909
Range120681
Interquartile range (IQR)37355.25

Descriptive statistics

Standard deviation33574.749
Coefficient of variation (CV)0.0016660418
Kurtosis-0.16835626
Mean20152405
Median Absolute Deviation (MAD)9659.5
Skewness-0.77939422
Sum8.4640101 × 108
Variance1.1272638 × 109
MonotonicityNot monotonic
2023-12-11T03:11:35.293590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
20161005 4
 
6.7%
20110725 1
 
1.7%
20140112 1
 
1.7%
20170210 1
 
1.7%
20160928 1
 
1.7%
20170109 1
 
1.7%
20180622 1
 
1.7%
20160923 1
 
1.7%
20160926 1
 
1.7%
20160930 1
 
1.7%
Other values (29) 29
48.3%
(Missing) 18
30.0%
ValueCountFrequency (%)
20080228 1
1.7%
20080320 1
1.7%
20080827 1
1.7%
20100107 1
1.7%
20100122 1
1.7%
20101004 1
1.7%
20110725 1
1.7%
20111207 1
1.7%
20111212 1
1.7%
20130125 1
1.7%
ValueCountFrequency (%)
20200909 1
1.7%
20200902 1
1.7%
20200827 1
1.7%
20191030 1
1.7%
20191024 1
1.7%
20190419 1
1.7%
20190228 1
1.7%
20180622 1
1.7%
20170703 1
1.7%
20170626 1
1.7%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

소재지전화
Text

MISSING 

Distinct34
Distinct (%)100.0%
Missing26
Missing (%)43.3%
Memory size612.0 B
2023-12-11T03:11:35.571175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length10.705882
Min length8

Characters and Unicode

Total characters364
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

Unique34 ?
Unique (%)100.0%

Sample

1st row053-742-9010
2nd row053-982-2258
3rd row053-741-1366
4th row053-955-5571
5th row053-741-4202
ValueCountFrequency (%)
475-5959 1
 
2.9%
053-427-0010 1
 
2.9%
053-584-7774 1
 
2.9%
053-591-1246 1
 
2.9%
053-593-7338 1
 
2.9%
636-0810 1
 
2.9%
053-583-8280 1
 
2.9%
521-4922 1
 
2.9%
053-761-6910 1
 
2.9%
053-982-2258 1
 
2.9%
Other values (24) 24
70.6%
2023-12-11T03:11:35.973770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 57
15.7%
5 51
14.0%
3 48
13.2%
0 41
11.3%
2 34
9.3%
1 29
8.0%
4 25
6.9%
7 22
 
6.0%
8 21
 
5.8%
9 20
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 307
84.3%
Dash Punctuation 57
 
15.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 51
16.6%
3 48
15.6%
0 41
13.4%
2 34
11.1%
1 29
9.4%
4 25
8.1%
7 22
7.2%
8 21
6.8%
9 20
 
6.5%
6 16
 
5.2%
Dash Punctuation
ValueCountFrequency (%)
- 57
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 364
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 57
15.7%
5 51
14.0%
3 48
13.2%
0 41
11.3%
2 34
9.3%
1 29
8.0%
4 25
6.9%
7 22
 
6.0%
8 21
 
5.8%
9 20
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 364
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 57
15.7%
5 51
14.0%
3 48
13.2%
0 41
11.3%
2 34
9.3%
1 29
8.0%
4 25
6.9%
7 22
 
6.0%
8 21
 
5.8%
9 20
 
5.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct39
Distinct (%)72.2%
Missing6
Missing (%)10.0%
Infinite0
Infinite (%)0.0%
Mean704471.83
Minimum700060
Maximum711870
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-11T03:11:36.164969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum700060
5-th percentile701815.65
Q1702835.25
median704912.5
Q3705803
95-th percentile706819.2
Maximum711870
Range11810
Interquartile range (IQR)2967.75

Descriptive statistics

Standard deviation2236.9341
Coefficient of variation (CV)0.003175335
Kurtosis2.8265327
Mean704471.83
Median Absolute Deviation (MAD)992.5
Skewness0.96929417
Sum38041479
Variance5003874.1
MonotonicityNot monotonic
2023-12-11T03:11:36.333049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
704940 5
 
8.3%
705803 3
 
5.0%
702886 3
 
5.0%
704816 3
 
5.0%
705813 2
 
3.3%
704948 2
 
3.3%
701827 2
 
3.3%
705832 2
 
3.3%
701816 2
 
3.3%
706853 1
 
1.7%
Other values (29) 29
48.3%
(Missing) 6
 
10.0%
ValueCountFrequency (%)
700060 1
1.7%
701023 1
1.7%
701815 1
1.7%
701816 2
3.3%
701827 2
3.3%
701828 1
1.7%
701829 1
1.7%
701866 1
1.7%
702061 1
1.7%
702280 1
1.7%
ValueCountFrequency (%)
711870 1
1.7%
711857 1
1.7%
706853 1
1.7%
706801 1
1.7%
706800 1
1.7%
706170 1
1.7%
706032 1
1.7%
705832 2
3.3%
705826 1
1.7%
705820 1
1.7%

소재지전체주소
Text

Distinct54
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
2023-12-11T03:11:36.645145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length26
Mean length22.216667
Min length13

Characters and Unicode

Total characters1333
Distinct characters67
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

Unique49 ?
Unique (%)81.7%

Sample

1st row대구광역시 중구 남일동 131-1번지
2nd row대구광역시 동구 신천동 317-8번지
3rd row대구광역시 동구 신천동 330-6번지 지하1층
4th row대구광역시 동구 입석동 1033-6번지
5th row대구광역시 동구 신천동 335-2번지
ValueCountFrequency (%)
대구광역시 60
23.7%
달서구 19
 
7.5%
남구 13
 
5.1%
동구 10
 
4.0%
북구 8
 
3.2%
대명동 7
 
2.8%
이곡동 7
 
2.8%
신천동 6
 
2.4%
봉덕동 5
 
2.0%
수성구 5
 
2.0%
Other values (82) 113
44.7%
2023-12-11T03:11:37.126222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
253
19.0%
구 119
 
8.9%
동 71
 
5.3%
대 67
 
5.0%
1 67
 
5.0%
지 61
 
4.6%
광 60
 
4.5%
역 60
 
4.5%
시 60
 
4.5%
번 55
 
4.1%
Other values (57) 460
34.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 761
57.1%
Decimal Number 265
 
19.9%
Space Separator 253
 
19.0%
Dash Punctuation 52
 
3.9%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 119
15.6%
동 71
9.3%
대 67
8.8%
지 61
 
8.0%
광 60
 
7.9%
역 60
 
7.9%
시 60
 
7.9%
번 55
 
7.2%
달 21
 
2.8%
서 21
 
2.8%
Other values (43) 166
21.8%
Decimal Number
ValueCountFrequency (%)
1 67
25.3%
2 43
16.2%
3 32
12.1%
0 23
 
8.7%
6 22
 
8.3%
5 21
 
7.9%
4 20
 
7.5%
7 15
 
5.7%
9 13
 
4.9%
8 9
 
3.4%
Space Separator
ValueCountFrequency (%)
253
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 52
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 761
57.1%
Common 572
42.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 119
15.6%
동 71
9.3%
대 67
8.8%
지 61
 
8.0%
광 60
 
7.9%
역 60
 
7.9%
시 60
 
7.9%
번 55
 
7.2%
달 21
 
2.8%
서 21
 
2.8%
Other values (43) 166
21.8%
Common
ValueCountFrequency (%)
253
44.2%
1 67
 
11.7%
- 52
 
9.1%
2 43
 
7.5%
3 32
 
5.6%
0 23
 
4.0%
6 22
 
3.8%
5 21
 
3.7%
4 20
 
3.5%
7 15
 
2.6%
Other values (4) 24
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 761
57.1%
ASCII 572
42.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
253
44.2%
1 67
 
11.7%
- 52
 
9.1%
2 43
 
7.5%
3 32
 
5.6%
0 23
 
4.0%
6 22
 
3.8%
5 21
 
3.7%
4 20
 
3.5%
7 15
 
2.6%
Other values (4) 24
 
4.2%
Hangul
ValueCountFrequency (%)
구 119
15.6%
동 71
9.3%
대 67
8.8%
지 61
 
8.0%
광 60
 
7.9%
역 60
 
7.9%
시 60
 
7.9%
번 55
 
7.2%
달 21
 
2.8%
서 21
 
2.8%
Other values (43) 166
21.8%

도로명전체주소
Text

MISSING 

Distinct54
Distinct (%)91.5%
Missing1
Missing (%)1.7%
Memory size612.0 B
2023-12-11T03:11:37.481224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length30
Mean length25.847458
Min length21

Characters and Unicode

Total characters1525
Distinct characters92
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique50 ?
Unique (%)84.7%

Sample

1st row대구광역시 중구 중앙대로79길 13 (남일동)
2nd row대구광역시 동구 동부로22길 69 (신천동)
3rd row대구광역시 동구 동부로30길 12 (신천동,지하1층)
4th row대구광역시 동구 아양로 344 (입석동)
5th row대구광역시 동구 동부로26길 29 (신천동)
ValueCountFrequency (%)
대구광역시 59
 
18.8%
달서구 18
 
5.8%
남구 13
 
4.2%
동구 10
 
3.2%
북구 8
 
2.6%
이곡동 7
 
2.2%
대명동 7
 
2.2%
대명로 6
 
1.9%
지하층 5
 
1.6%
수성구 5
 
1.6%
Other values (115) 175
55.9%
2023-12-11T03:11:38.098518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
261
17.1%
구 128
 
8.4%
대 84
 
5.5%
동 83
 
5.4%
1 61
 
4.0%
시 60
 
3.9%
역 59
 
3.9%
광 59
 
3.9%
로 58
 
3.8%
) 57
 
3.7%
Other values (82) 615
40.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 895
58.7%
Space Separator 261
 
17.1%
Decimal Number 222
 
14.6%
Close Punctuation 57
 
3.7%
Open Punctuation 57
 
3.7%
Other Punctuation 18
 
1.2%
Dash Punctuation 15
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 128
14.3%
대 84
 
9.4%
동 83
 
9.3%
시 60
 
6.7%
역 59
 
6.6%
광 59
 
6.6%
로 58
 
6.5%
달 28
 
3.1%
서 28
 
3.1%
길 24
 
2.7%
Other values (67) 284
31.7%
Decimal Number
ValueCountFrequency (%)
1 61
27.5%
2 42
18.9%
3 20
 
9.0%
4 19
 
8.6%
5 18
 
8.1%
8 16
 
7.2%
6 15
 
6.8%
9 13
 
5.9%
0 10
 
4.5%
7 8
 
3.6%
Space Separator
ValueCountFrequency (%)
261
100.0%
Close Punctuation
ValueCountFrequency (%)
) 57
100.0%
Open Punctuation
ValueCountFrequency (%)
( 57
100.0%
Other Punctuation
ValueCountFrequency (%)
, 18
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 895
58.7%
Common 630
41.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 128
14.3%
대 84
 
9.4%
동 83
 
9.3%
시 60
 
6.7%
역 59
 
6.6%
광 59
 
6.6%
로 58
 
6.5%
달 28
 
3.1%
서 28
 
3.1%
길 24
 
2.7%
Other values (67) 284
31.7%
Common
ValueCountFrequency (%)
261
41.4%
1 61
 
9.7%
) 57
 
9.0%
( 57
 
9.0%
2 42
 
6.7%
3 20
 
3.2%
4 19
 
3.0%
5 18
 
2.9%
, 18
 
2.9%
8 16
 
2.5%
Other values (5) 61
 
9.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 895
58.7%
ASCII 630
41.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
261
41.4%
1 61
 
9.7%
) 57
 
9.0%
( 57
 
9.0%
2 42
 
6.7%
3 20
 
3.2%
4 19
 
3.0%
5 18
 
2.9%
, 18
 
2.9%
8 16
 
2.5%
Other values (5) 61
 
9.7%
Hangul
ValueCountFrequency (%)
구 128
14.3%
대 84
 
9.4%
동 83
 
9.3%
시 60
 
6.7%
역 59
 
6.6%
광 59
 
6.6%
로 58
 
6.5%
달 28
 
3.1%
서 28
 
3.1%
길 24
 
2.7%
Other values (67) 284
31.7%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct36
Distinct (%)78.3%
Missing14
Missing (%)23.3%
Infinite0
Infinite (%)0.0%
Mean186055.35
Minimum41141
Maximum705826
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-11T03:11:38.324315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41141
5-th percentile41216.5
Q141562.5
median42558.5
Q342792.75
95-th percentile705596.75
Maximum705826
Range664685
Interquartile range (IQR)1230.25

Descriptive statistics

Standard deviation276170.44
Coefficient of variation (CV)1.4843456
Kurtosis0.0061709531
Mean186055.35
Median Absolute Deviation (MAD)868.5
Skewness1.4169593
Sum8558546
Variance7.627011 × 1010
MonotonicityNot monotonic
2023-12-11T03:11:38.519873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
42612 6
 
10.0%
41423 3
 
5.0%
42814 2
 
3.3%
42713 2
 
3.3%
705813 2
 
3.3%
42693 1
 
1.7%
702061 1
 
1.7%
42274 1
 
1.7%
42175 1
 
1.7%
42149 1
 
1.7%
Other values (26) 26
43.3%
(Missing) 14
23.3%
ValueCountFrequency (%)
41141 1
 
1.7%
41208 1
 
1.7%
41216 1
 
1.7%
41218 1
 
1.7%
41249 1
 
1.7%
41250 1
 
1.7%
41251 1
 
1.7%
41423 3
5.0%
41463 1
 
1.7%
41562 1
 
1.7%
ValueCountFrequency (%)
705826 1
1.7%
705813 2
3.3%
704948 1
1.7%
704940 1
1.7%
704914 1
1.7%
704240 1
1.7%
702845 1
1.7%
702061 1
1.7%
701824 1
1.7%
42814 2
3.3%

사업장명
Text

UNIQUE 

Distinct60
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
2023-12-11T03:11:38.856344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length8
Mean length4.05
Min length1

Characters and Unicode

Total characters243
Distinct characters114
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

Unique60 ?
Unique (%)100.0%

Sample

1st row카리브
2nd row퀸크럽
3rd row크라운
4th rowBMB노래주점
5th row신세계
ValueCountFrequency (%)
클럽 2
 
3.1%
카리브 1
 
1.5%
카사노바 1
 
1.5%
세븐클럽 1
 
1.5%
젠틀맨클럽 1
 
1.5%
청용회관 1
 
1.5%
럭키클럽 1
 
1.5%
재클린 1
 
1.5%
외인구단 1
 
1.5%
포르쉐 1
 
1.5%
Other values (54) 54
83.1%
2023-12-11T03:11:39.407056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
클 15
 
6.2%
럽 15
 
6.2%
이 12
 
4.9%
스 11
 
4.5%
라 7
 
2.9%
5
 
2.1%
하 5
 
2.1%
카 4
 
1.6%
아 4
 
1.6%
뉴 4
 
1.6%
Other values (104) 161
66.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 226
93.0%
Space Separator 5
 
2.1%
Uppercase Letter 4
 
1.6%
Decimal Number 3
 
1.2%
Open Punctuation 2
 
0.8%
Close Punctuation 2
 
0.8%
Other Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
클 15
 
6.6%
럽 15
 
6.6%
이 12
 
5.3%
스 11
 
4.9%
라 7
 
3.1%
하 5
 
2.2%
카 4
 
1.8%
아 4
 
1.8%
뉴 4
 
1.8%
관 4
 
1.8%
Other values (95) 145
64.2%
Uppercase Letter
ValueCountFrequency (%)
B 2
50.0%
M 1
25.0%
V 1
25.0%
Decimal Number
ValueCountFrequency (%)
2 2
66.7%
4 1
33.3%
Space Separator
ValueCountFrequency (%)
5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 226
93.0%
Common 13
 
5.3%
Latin 4
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
클 15
 
6.6%
럽 15
 
6.6%
이 12
 
5.3%
스 11
 
4.9%
라 7
 
3.1%
하 5
 
2.2%
카 4
 
1.8%
아 4
 
1.8%
뉴 4
 
1.8%
관 4
 
1.8%
Other values (95) 145
64.2%
Common
ValueCountFrequency (%)
5
38.5%
( 2
 
15.4%
2 2
 
15.4%
) 2
 
15.4%
. 1
 
7.7%
4 1
 
7.7%
Latin
ValueCountFrequency (%)
B 2
50.0%
M 1
25.0%
V 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 226
93.0%
ASCII 17
 
7.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
클 15
 
6.6%
럽 15
 
6.6%
이 12
 
5.3%
스 11
 
4.9%
라 7
 
3.1%
하 5
 
2.2%
카 4
 
1.8%
아 4
 
1.8%
뉴 4
 
1.8%
관 4
 
1.8%
Other values (95) 145
64.2%
ASCII
ValueCountFrequency (%)
5
29.4%
( 2
 
11.8%
2 2
 
11.8%
) 2
 
11.8%
B 2
 
11.8%
. 1
 
5.9%
M 1
 
5.9%
4 1
 
5.9%
V 1
 
5.9%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct60
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0158766 × 1013
Minimum2.0080228 × 1013
Maximum2.0210511 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-11T03:11:39.650364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0080228 × 1013
5-th percentile2.0100967 × 1013
Q12.0140908 × 1013
median2.0161005 × 1013
Q32.0180342 × 1013
95-th percentile2.0200831 × 1013
Maximum2.0210511 × 1013
Range1.3028302 × 1011
Interquartile range (IQR)3.9434174 × 1010

Descriptive statistics

Standard deviation3.0253956 × 1010
Coefficient of variation (CV)0.0015007841
Kurtosis0.38410449
Mean2.0158766 × 1013
Median Absolute Deviation (MAD)1.9508471 × 1010
Skewness-0.74744586
Sum1.209526 × 1015
Variance9.1530187 × 1020
MonotonicityNot monotonic
2023-12-11T03:11:39.883650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20080320185023 1
 
1.7%
20170210171935 1
 
1.7%
20141006180841 1
 
1.7%
20160928160637 1
 
1.7%
20170109141649 1
 
1.7%
20180322092126 1
 
1.7%
20130812114802 1
 
1.7%
20151228124322 1
 
1.7%
20180625084915 1
 
1.7%
20161005094203 1
 
1.7%
Other values (50) 50
83.3%
ValueCountFrequency (%)
20080228120403 1
1.7%
20080320185023 1
1.7%
20100122165853 1
1.7%
20101011160528 1
1.7%
20101209093110 1
1.7%
20110802090721 1
1.7%
20111207110913 1
1.7%
20111212165519 1
1.7%
20130507171757 1
1.7%
20130812114802 1
1.7%
ValueCountFrequency (%)
20210511143520 1
1.7%
20200909141536 1
1.7%
20200908125848 1
1.7%
20200827165620 1
1.7%
20200821092831 1
1.7%
20200615093602 1
1.7%
20191128161248 1
1.7%
20191115162523 1
1.7%
20191028092824 1
1.7%
20191011091346 1
1.7%

데이터갱신구분
Categorical

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
I
49 
U
11 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 49
81.7%
U 11
 
18.3%

Length

2023-12-11T03:11:40.097372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:11:40.256504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 49
81.7%
u 11
 
18.3%

데이터갱신일자
Date

Distinct14
Distinct (%)23.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
Minimum2018-08-31 23:59:59
Maximum2021-05-13 02:40:00
2023-12-11T03:11:40.407465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T03:11:40.592897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

좌표정보(X)
Real number (ℝ)

Distinct50
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean341768.82
Minimum330572.49
Maximum354097.08
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-11T03:11:40.826160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum330572.49
5-th percentile334531.27
Q1338748.64
median342345.1
Q3346001.04
95-th percentile347017.32
Maximum354097.08
Range23524.592
Interquartile range (IQR)7252.3963

Descriptive statistics

Standard deviation4811.6605
Coefficient of variation (CV)0.014078699
Kurtosis-0.19840471
Mean341768.82
Median Absolute Deviation (MAD)3596.6112
Skewness-0.2820425
Sum20506129
Variance23152077
MonotonicityNot monotonic
2023-12-11T03:11:41.083086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
340820.549499 3
 
5.0%
342898.951935 3
 
5.0%
346913.663158 2
 
3.3%
335894.211513 2
 
3.3%
334538.000743 2
 
3.3%
338748.644139 2
 
3.3%
339590.688591 2
 
3.3%
335948.093127 2
 
3.3%
343780.389658 1
 
1.7%
345959.450191 1
 
1.7%
Other values (40) 40
66.7%
ValueCountFrequency (%)
330572.491025 1
1.7%
330643.007578 1
1.7%
334403.289941 1
1.7%
334538.000743 2
3.3%
334682.207862 1
1.7%
335840.964074 1
1.7%
335841.114248 1
1.7%
335894.211513 2
3.3%
335914.210743 1
1.7%
335948.093127 2
3.3%
ValueCountFrequency (%)
354097.082862 1
1.7%
348479.067998 1
1.7%
347266.588738 1
1.7%
347004.198893 1
1.7%
346959.19696 1
1.7%
346913.663158 2
3.3%
346843.595795 1
1.7%
346671.304307 1
1.7%
346648.554082 1
1.7%
346569.986449 1
1.7%

좌표정보(Y)
Real number (ℝ)

Distinct50
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean262827.03
Minimum244804.51
Maximum272482.63
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-11T03:11:41.328859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum244804.51
5-th percentile258003.22
Q1261192.12
median262548.28
Q3264740.98
95-th percentile271313.7
Maximum272482.63
Range27678.116
Interquartile range (IQR)3548.8559

Descriptive statistics

Standard deviation4446.095
Coefficient of variation (CV)0.01691643
Kurtosis5.5142312
Mean262827.03
Median Absolute Deviation (MAD)1698.6805
Skewness-1.0358093
Sum15769622
Variance19767761
MonotonicityNot monotonic
2023-12-11T03:11:41.556747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
260849.597986 3
 
5.0%
261257.874156 3
 
5.0%
264586.005826 2
 
3.3%
262530.880488 2
 
3.3%
261104.148541 2
 
3.3%
261253.448807 2
 
3.3%
258003.21798 2
 
3.3%
262605.885263 2
 
3.3%
264381.007106 1
 
1.7%
262813.233152 1
 
1.7%
Other values (40) 40
66.7%
ValueCountFrequency (%)
244804.512453 1
 
1.7%
248721.179429 1
 
1.7%
258003.21798 2
3.3%
258034.934254 1
 
1.7%
260256.493914 1
 
1.7%
260661.910745 1
 
1.7%
260835.385401 1
 
1.7%
260849.597986 3
5.0%
261104.148541 2
3.3%
261157.878314 1
 
1.7%
ValueCountFrequency (%)
272482.628301 1
1.7%
272448.282802 1
1.7%
272445.259807 1
1.7%
271254.141138 1
1.7%
268699.497062 1
1.7%
267509.761053 1
1.7%
267286.626486 1
1.7%
266989.650065 1
1.7%
266225.448864 1
1.7%
265982.75642 1
1.7%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
외국인전용유흥음식점업
60 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
외국인전용유흥음식점업 60
100.0%

Length

2023-12-11T03:11:41.769689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:11:41.901395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
외국인전용유흥음식점업 60
100.0%

문화사업자구분명
Categorical

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
<NA>
49 
관광사업
11 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 49
81.7%
관광사업 11
 
18.3%

Length

2023-12-11T03:11:42.053383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:11:42.209922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 49
81.7%
관광사업 11
 
18.3%

지역구분명
Categorical

IMBALANCE 

Distinct4
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
<NA>
53 
상업지역
 
3
중심상업지역
 
2
일반상업지역
 
2

Length

Max length6
Median length4
Mean length4.1333333
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> 53
88.3%
상업지역 3
 
5.0%
중심상업지역 2
 
3.3%
일반상업지역 2
 
3.3%

Length

2023-12-11T03:11:42.395623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:11:42.593300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 53
88.3%
상업지역 3
 
5.0%
중심상업지역 2
 
3.3%
일반상업지역 2
 
3.3%

총층수
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)75.0%
Missing52
Missing (%)86.7%
Infinite0
Infinite (%)0.0%
Mean3.75
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-11T03:11:42.762305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.35
Q12.75
median4
Q35
95-th percentile5.65
Maximum6
Range5
Interquartile range (IQR)2.25

Descriptive statistics

Standard deviation1.6690459
Coefficient of variation (CV)0.44507891
Kurtosis-0.5964497
Mean3.75
Median Absolute Deviation (MAD)1
Skewness-0.46088053
Sum30
Variance2.7857143
MonotonicityNot monotonic
2023-12-11T03:11:42.956330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
5 2
 
3.3%
4 2
 
3.3%
6 1
 
1.7%
3 1
 
1.7%
2 1
 
1.7%
1 1
 
1.7%
(Missing) 52
86.7%
ValueCountFrequency (%)
1 1
1.7%
2 1
1.7%
3 1
1.7%
4 2
3.3%
5 2
3.3%
6 1
1.7%
ValueCountFrequency (%)
6 1
1.7%
5 2
3.3%
4 2
3.3%
3 1
1.7%
2 1
1.7%
1 1
1.7%

주변환경명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)50.0%
Missing58
Missing (%)96.7%
Memory size612.0 B
2023-12-11T03:11:43.185365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters4
Distinct characters2
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

Unique0 ?
Unique (%)0.0%

Sample

1st row기타
2nd row기타
ValueCountFrequency (%)
기타 2
100.0%
2023-12-11T03:11:43.556111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 2
50.0%
타 2
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 2
50.0%
타 2
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 2
50.0%
타 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 2
50.0%
타 2
50.0%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

보험기관명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

건물용도명
Text

MISSING 

Distinct3
Distinct (%)50.0%
Missing54
Missing (%)90.0%
Memory size612.0 B
2023-12-11T03:11:43.793108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length5.6666667
Min length4

Characters and Unicode

Total characters34
Distinct characters11
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 (%)16.7%

Sample

1st row근린생활시설
2nd row근린생활시설
3rd row숙박시설
4th row환경위생시설
5th row환경위생시설
ValueCountFrequency (%)
근린생활시설 3
50.0%
환경위생시설 2
33.3%
숙박시설 1
 
16.7%
2023-12-11T03:11:44.272757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 6
17.6%
설 6
17.6%
생 5
14.7%
근 3
8.8%
린 3
8.8%
활 3
8.8%
환 2
 
5.9%
경 2
 
5.9%
위 2
 
5.9%
숙 1
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 34
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 6
17.6%
설 6
17.6%
생 5
14.7%
근 3
8.8%
린 3
8.8%
활 3
8.8%
환 2
 
5.9%
경 2
 
5.9%
위 2
 
5.9%
숙 1
 
2.9%

Most occurring scripts

ValueCountFrequency (%)
Hangul 34
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 6
17.6%
설 6
17.6%
생 5
14.7%
근 3
8.8%
린 3
8.8%
활 3
8.8%
환 2
 
5.9%
경 2
 
5.9%
위 2
 
5.9%
숙 1
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 34
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 6
17.6%
설 6
17.6%
생 5
14.7%
근 3
8.8%
린 3
8.8%
활 3
8.8%
환 2
 
5.9%
경 2
 
5.9%
위 2
 
5.9%
숙 1
 
2.9%

지상층수
Categorical

IMBALANCE 

Distinct6
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
<NA>
51 
3
 
3
4
 
3
5
 
1
8
 
1

Length

Max length4
Median length4
Mean length3.55
Min length1

Unique

Unique3 ?
Unique (%)5.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 51
85.0%
3 3
 
5.0%
4 3
 
5.0%
5 1
 
1.7%
8 1
 
1.7%
1 1
 
1.7%

Length

2023-12-11T03:11:44.540912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:11:45.220455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 51
85.0%
3 3
 
5.0%
4 3
 
5.0%
5 1
 
1.7%
8 1
 
1.7%
1 1
 
1.7%

지하층수
Categorical

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
<NA>
46 
1
14 

Length

Max length4
Median length4
Mean length3.3
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> 46
76.7%
1 14
 
23.3%

Length

2023-12-11T03:11:45.458192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:11:45.687783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 46
76.7%
1 14
 
23.3%

객실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

건축연면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

영문상호명
Text

MISSING 

Distinct21
Distinct (%)100.0%
Missing39
Missing (%)65.0%
Memory size612.0 B
2023-12-11T03:11:45.921693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length14
Mean length9.2857143
Min length3

Characters and Unicode

Total characters195
Distinct characters40
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

Unique21 ?
Unique (%)100.0%

Sample

1st rowQUEEN
2nd rowBMB MUSIC CLUB
3rd rowRussia club
4th rowARENA
5th rowIL SONG Live Club
ValueCountFrequency (%)
club 8
 
21.1%
queen 1
 
2.6%
manhattan 1
 
2.6%
mt 1
 
2.6%
jenis 1
 
2.6%
york 1
 
2.6%
new 1
 
2.6%
yong 1
 
2.6%
chung 1
 
2.6%
culb 1
 
2.6%
Other values (21) 21
55.3%
2023-12-11T03:11:46.578029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
17
 
8.7%
C 12
 
6.2%
N 11
 
5.6%
B 9
 
4.6%
A 9
 
4.6%
E 8
 
4.1%
U 8
 
4.1%
L 8
 
4.1%
i 7
 
3.6%
u 7
 
3.6%
Other values (30) 99
50.8%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 116
59.5%
Lowercase Letter 62
31.8%
Space Separator 17
 
8.7%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
C 12
 
10.3%
N 11
 
9.5%
B 9
 
7.8%
A 9
 
7.8%
E 8
 
6.9%
U 8
 
6.9%
L 8
 
6.9%
O 6
 
5.2%
I 6
 
5.2%
M 6
 
5.2%
Other values (13) 33
28.4%
Lowercase Letter
ValueCountFrequency (%)
i 7
11.3%
u 7
11.3%
s 7
11.3%
e 6
9.7%
a 6
9.7%
l 6
9.7%
b 5
8.1%
h 3
 
4.8%
n 3
 
4.8%
c 2
 
3.2%
Other values (6) 10
16.1%
Space Separator
ValueCountFrequency (%)
17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 178
91.3%
Common 17
 
8.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
C 12
 
6.7%
N 11
 
6.2%
B 9
 
5.1%
A 9
 
5.1%
E 8
 
4.5%
U 8
 
4.5%
L 8
 
4.5%
i 7
 
3.9%
u 7
 
3.9%
s 7
 
3.9%
Other values (29) 92
51.7%
Common
ValueCountFrequency (%)
17
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 195
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
17
 
8.7%
C 12
 
6.2%
N 11
 
5.6%
B 9
 
4.6%
A 9
 
4.6%
E 8
 
4.1%
U 8
 
4.1%
L 8
 
4.1%
i 7
 
3.6%
u 7
 
3.6%
Other values (30) 99
50.8%

영문상호주소
Categorical

Distinct5
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
<NA>
39 
Foreigner Entertainment Restaurant
14 
Foreigner exclusive use pleasure food
4 
Foreigner exclusive use pleasure food
 
2
FOREIGNER EXCLUSIVE USE PLEASURE FOOD
 
1

Length

Max length37
Median length4
Mean length14.85
Min length4

Unique

Unique1 ?
Unique (%)1.7%

Sample

1st row<NA>
2nd rowFOREIGNER EXCLUSIVE USE PLEASURE FOOD
3rd row<NA>
4th rowForeigner exclusive use pleasure food
5th rowForeigner exclusive use pleasure food

Common Values

ValueCountFrequency (%)
<NA> 39
65.0%
Foreigner Entertainment Restaurant 14
 
23.3%
Foreigner exclusive use pleasure food 4
 
6.7%
Foreigner exclusive use pleasure food 2
 
3.3%
FOREIGNER EXCLUSIVE USE PLEASURE FOOD 1
 
1.7%

Length

2023-12-11T03:11:46.853424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:11:47.084015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 39
33.6%
foreigner 21
18.1%
entertainment 14
 
12.1%
restaurant 14
 
12.1%
exclusive 7
 
6.0%
use 7
 
6.0%
pleasure 7
 
6.0%
food 7
 
6.0%

선박총톤수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

선박척수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

무대면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

좌석수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

회의실별동시수용인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

시설면적
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)100.0%
Missing44
Missing (%)73.3%
Infinite0
Infinite (%)0.0%
Mean321.94
Minimum105.11
Maximum756.75
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-11T03:11:47.302793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum105.11
5-th percentile116.2775
Q1155.05
median287.895
Q3415.2825
95-th percentile600.0375
Maximum756.75
Range651.64
Interquartile range (IQR)260.2325

Descriptive statistics

Standard deviation184.94425
Coefficient of variation (CV)0.57446807
Kurtosis0.35214461
Mean321.94
Median Absolute Deviation (MAD)136.495
Skewness0.8487345
Sum5151.04
Variance34204.376
MonotonicityNot monotonic
2023-12-11T03:11:47.529123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
547.8 1
 
1.7%
280.98 1
 
1.7%
144.1 1
 
1.7%
756.75 1
 
1.7%
142.64 1
 
1.7%
534.48 1
 
1.7%
120.0 1
 
1.7%
400.0 1
 
1.7%
292.36 1
 
1.7%
105.11 1
 
1.7%
Other values (6) 6
 
10.0%
(Missing) 44
73.3%
ValueCountFrequency (%)
105.11 1
1.7%
120.0 1
1.7%
142.64 1
1.7%
144.1 1
1.7%
158.7 1
1.7%
196.56 1
1.7%
280.98 1
1.7%
283.43 1
1.7%
292.36 1
1.7%
342.0 1
1.7%
ValueCountFrequency (%)
756.75 1
1.7%
547.8 1
1.7%
534.48 1
1.7%
461.13 1
1.7%
400.0 1
1.7%
385.0 1
1.7%
342.0 1
1.7%
292.36 1
1.7%
283.43 1
1.7%
280.98 1
1.7%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

놀이시설수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

자본금
Categorical

IMBALANCE 

Distinct6
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
<NA>
54 
30000000
 
2
50000000
 
1
15000000
 
1
80000000
 
1

Length

Max length8
Median length4
Mean length4.4
Min length4

Unique

Unique4 ?
Unique (%)6.7%

Sample

1st row<NA>
2nd row<NA>
3rd row50000000
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 54
90.0%
30000000 2
 
3.3%
50000000 1
 
1.7%
15000000 1
 
1.7%
80000000 1
 
1.7%
90000000 1
 
1.7%

Length

2023-12-11T03:11:47.827257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:11:48.081626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 54
90.0%
30000000 2
 
3.3%
50000000 1
 
1.7%
15000000 1
 
1.7%
80000000 1
 
1.7%
90000000 1
 
1.7%

보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

시설규모
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)100.0%
Missing44
Missing (%)73.3%
Infinite0
Infinite (%)0.0%
Mean321.9375
Minimum105
Maximum757
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-11T03:11:48.273613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum105
5-th percentile116.25
Q1155.25
median287.5
Q3415.25
95-th percentile600.25
Maximum757
Range652
Interquartile range (IQR)260

Descriptive statistics

Standard deviation184.92033
Coefficient of variation (CV)0.57439824
Kurtosis0.35956136
Mean321.9375
Median Absolute Deviation (MAD)136
Skewness0.85093589
Sum5151
Variance34195.529
MonotonicityNot monotonic
2023-12-11T03:11:48.490669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
548 1
 
1.7%
281 1
 
1.7%
144 1
 
1.7%
757 1
 
1.7%
143 1
 
1.7%
534 1
 
1.7%
120 1
 
1.7%
400 1
 
1.7%
292 1
 
1.7%
105 1
 
1.7%
Other values (6) 6
 
10.0%
(Missing) 44
73.3%
ValueCountFrequency (%)
105 1
1.7%
120 1
1.7%
143 1
1.7%
144 1
1.7%
159 1
1.7%
197 1
1.7%
281 1
1.7%
283 1
1.7%
292 1
1.7%
342 1
1.7%
ValueCountFrequency (%)
757 1
1.7%
548 1
1.7%
534 1
1.7%
461 1
1.7%
400 1
1.7%
385 1
1.7%
342 1
1.7%
292 1
1.7%
283 1
1.7%
281 1
1.7%

Sample

번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
01외국인전용유흥음식점업07_24_03_P3410000CDFI326103200200000120021211<NA>3폐업3폐업20080320<NA><NA><NA><NA><NA>700060대구광역시 중구 남일동 131-1번지대구광역시 중구 중앙대로79길 13 (남일동)<NA>카리브20080320185023I2018-08-31 23:59:59.0<NA>343780.389658264381.007106외국인전용유흥음식점업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
12외국인전용유흥음식점업07_24_03_P3420000CDFI326103200300000120030519<NA>3폐업3폐업20111212<NA><NA><NA><NA><NA>701827대구광역시 동구 신천동 317-8번지대구광역시 동구 동부로22길 69 (신천동)<NA>퀸크럽20111212165519I2018-08-31 23:59:59.0<NA>346913.663158264586.005826외국인전용유흥음식점업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>QUEENFOREIGNER EXCLUSIVE USE PLEASURE FOOD<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23외국인전용유흥음식점업07_24_03_P3420000CDFI326103201000000120101019<NA>3폐업3폐업20130125<NA><NA><NA>053-742-9010<NA>701828대구광역시 동구 신천동 330-6번지 지하1층대구광역시 동구 동부로30길 12 (신천동,지하1층)<NA>크라운20150710110816I2018-08-31 23:59:59.0<NA>347004.198893265224.513184외국인전용유흥음식점업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>50000000<NA><NA><NA><NA>
34외국인전용유흥음식점업07_24_03_P3420000CDFI326103201200000220121026<NA>3폐업3폐업20190228<NA><NA><NA>053-982-2258<NA>701866대구광역시 동구 입석동 1033-6번지대구광역시 동구 아양로 344 (입석동)41141BMB노래주점20190228152752U2019-03-02 02:40:00.0<NA>348479.067998267286.626486외국인전용유흥음식점업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>BMB MUSIC CLUBForeigner exclusive use pleasure food<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
45외국인전용유흥음식점업07_24_03_P3420000CDFI326103201300000120130822<NA>3폐업3폐업20161117<NA><NA><NA>053-741-1366<NA>701829대구광역시 동구 신천동 335-2번지대구광역시 동구 동부로26길 29 (신천동)41249신세계20161117153926I2018-08-31 23:59:59.0<NA>346959.19696264894.167016외국인전용유흥음식점업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>Russia clubForeigner exclusive use pleasure food<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
56외국인전용유흥음식점업07_24_03_P3420000CDFI326103201300000220130910<NA>3폐업3폐업20200827<NA><NA><NA>053-955-5571<NA>701815대구광역시 동구 신암동 214-4대구광역시 동구 아양로 46 (신암동)41208아레나20200827165620U2020-08-29 02:40:00.0<NA>346139.253495265833.573829외국인전용유흥음식점업<NA>중심상업지역<NA><NA><NA><NA><NA><NA><NA><NA><NA>ARENAForeigner exclusive use pleasure food<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
67외국인전용유흥음식점업07_24_03_P3420000CDFI326103201400000120140616<NA>3폐업3폐업20160929<NA><NA><NA><NA><NA>701816대구광역시 동구 신암동 340-3번지대구광역시 동구 아양로34길 1 (신암동)41218일송라이브 회관20160929165954I2018-08-31 23:59:59.0<NA>347266.588738266225.448864외국인전용유흥음식점업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>IL SONG Live ClubForeigner exclusive use pleasure food<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
78외국인전용유흥음식점업07_24_03_P3420000CDFI326103201400000220140619<NA>3폐업3폐업20161005<NA><NA><NA><NA><NA>701816대구광역시 동구 신암동 246-13번지대구광역시 동구 동대구로 598 (신암동)41216퀸관광클럽20161005164355I2018-08-31 23:59:59.0<NA>346648.554082265982.75642외국인전용유흥음식점업<NA><NA>5<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>400.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>400
89외국인전용유흥음식점업07_24_03_P3420000CDFI326103201200000120120313<NA>3폐업3폐업20190419<NA><NA><NA>053-741-4202<NA>701827대구광역시 동구 신천동 317-8번지대구광역시 동구 동부로22길 69 (신천동)41251모스크바20190419154128U2019-04-21 02:40:00.0<NA>346913.663158264586.005826외국인전용유흥음식점업<NA>상업지역<NA><NA><NA><NA><NA>31<NA><NA>MOSKVEForeigner exclusive use pleasure food<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
910외국인전용유흥음식점업07_24_03_P3420000CDFI326103201900000120191011<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 동구 신천동 296-11번지대구광역시 동구 동부로22길 58, 지하2층 (신천동)41250오딧세이20191011091346I2019-10-13 00:22:48.0<NA>346843.595795264689.913718외국인전용유흥음식점업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
5051외국인전용유흥음식점업07_24_03_P3470000CDFI326103201200000120120525<NA>3폐업3폐업20170626<NA><NA><NA>053-566-1441<NA>704806대구광역시 달서구 본동 747번지대구광역시 달서구 와룡로 39, 3층 (본동)42729마닐라20170626161436I2018-08-31 23:59:59.0<NA>338748.32877260661.910745외국인전용유흥음식점업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5152외국인전용유흥음식점업07_24_03_P3470000CDFI326103201300000120131021<NA>3폐업3폐업20160315<NA><NA><NA>053-522-4848<NA>704914대구광역시 달서구 본리동 380-1번지대구광역시 달서구 와룡로 101, 3층 (본리동)704914뉴욕클럽20160315145643I2018-08-31 23:59:59.0<NA>338748.644139261253.448807외국인전용유흥음식점업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5253외국인전용유흥음식점업07_24_03_P3470000CDFI326103201600000120160302<NA>3폐업3폐업20160921<NA><NA><NA><NA><NA><NA>대구광역시 달서구 이곡동 1202-11번지대구광역시 달서구 달구벌대로251길 25 (이곡동)42612국제라이브클럽20160921102652I2018-08-31 23:59:59.0<NA>335840.964074262606.233123외국인전용유흥음식점업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5354외국인전용유흥음식점업07_24_03_P3470000CDFI326103201900000120191115<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달서구 이곡동 1220-4번지 2층대구광역시 달서구 달구벌대로251길 18, 2층 (이곡동)42612타이사랑220191115162523I2019-11-17 00:23:16.0<NA>335894.211513262530.880488외국인전용유흥음식점업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5455외국인전용유흥음식점업07_24_03_P3470000CDFI326103201000000120101021<NA>1영업/정상13영업중<NA><NA><NA><NA>053-585-0085<NA>704940대구광역시 달서구 이곡동 1220-4번지대구광역시 달서구 달구벌대로251길 18, 지하층 (이곡동)42612제니스20180402112328I2018-08-31 23:59:59.0<NA>335894.211513262530.880488외국인전용유흥음식점업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>JenisForeigner Entertainment Restaurant<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5556외국인전용유흥음식점업07_24_03_P3470000CDFI326103201100000220110712<NA>1영업/정상13영업중<NA><NA><NA><NA>053-631-0740<NA>704816대구광역시 달서구 상인동 1556-2번지 (지하)대구광역시 달서구 월곡로 180, 지하층 (상인동)42814하이힐클럽20151210093917I2018-08-31 23:59:59.0<NA>339590.688591258003.21798외국인전용유흥음식점업<NA><NA><NA><NA><NA><NA><NA><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>
5657외국인전용유흥음식점업07_24_03_P3470000CDFI326103201400000120140523<NA>1영업/정상13영업중<NA><NA><NA><NA>639-0015<NA>704816대구광역시 달서구 상인동 1555-1대구광역시 달서구 상화북로 180, 지하1층 (상인동)42814카우보이드림20200821092831U2020-08-23 02:40:00.0<NA>339638.747277258034.934254외국인전용유흥음식점업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5758외국인전용유흥음식점업07_24_03_P3470000CDFI326103201800000120181210<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달서구 호산동 712-12번지대구광역시 달서구 성서공단로11길 64-15 (호산동)42713스타20200615093602U2020-06-17 02:40:00.0<NA>334538.000743261104.148541외국인전용유흥음식점업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>MT ClubForeigner Entertainment Restaurant<NA><NA><NA><NA><NA><NA><NA>280.98<NA><NA><NA><NA><NA><NA><NA><NA>30000000<NA><NA><NA>281
5859외국인전용유흥음식점업07_24_03_P3480000CDFI326103201000000120101201<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>711870대구광역시 달성군 현풍면 하리 128-1번지대구광역시 달성군 현풍면 현풍중앙로 56-1<NA>뉴캐슬클럽20170703150117I2018-08-31 23:59:59.0<NA>330643.007578244804.512453외국인전용유흥음식점업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5960외국인전용유흥음식점업07_24_03_P3480000CDFI326103200900000120091215201002014취소/말소/만료/정지/중지33지정취소<NA><NA><NA><NA><NA><NA>711857대구광역시 달성군 논공읍 북리 803-142번지대구광역시 달성군 논공읍 논공로5길 168<NA>하와이20101209093110I2018-08-31 23:59:59.0<NA>330572.491025248721.179429외국인전용유흥음식점업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>HawaiiForeigner Entertainment Restaurant<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>90000000<NA><NA><NA><NA>