Overview

Dataset statistics

Number of variables59
Number of observations60
Missing cells1458
Missing cells (%)41.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory30.1 KiB
Average record size in memory514.1 B

Variable types

Numeric13
Categorical18
Text7
Unsupported20
DateTime1

Dataset

Description6270000_대구광역시_03_05_04_P_복합유통게임제공업_1월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000092355&dataSetDetailId=DDI_0000092374&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
문화체육업종명 has constant value ""Constant
문화사업자구분명 has constant value ""Constant
통로너비 is highly imbalanced (78.9%)Imbalance
노래방실수 is highly imbalanced (78.9%)Imbalance
청소년실수 is highly imbalanced (78.9%)Imbalance
인허가취소일자 has 60 (100.0%) missing valuesMissing
폐업일자 has 22 (36.7%) 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 39 (65.0%) missing valuesMissing
소재지면적 has 60 (100.0%) missing valuesMissing
소재지우편번호 has 48 (80.0%) missing valuesMissing
소재지전체주소 has 1 (1.7%) missing valuesMissing
도로명우편번호 has 21 (35.0%) missing valuesMissing
업태구분명 has 60 (100.0%) missing valuesMissing
총층수 has 9 (15.0%) missing valuesMissing
제작취급품목내용 has 26 (43.3%) missing valuesMissing
시설면적 has 3 (5.0%) missing valuesMissing
지상층수 has 12 (20.0%) missing valuesMissing
비상계단여부 has 60 (100.0%) missing valuesMissing
비상구여부 has 60 (100.0%) missing valuesMissing
자동환기여부 has 60 (100.0%) missing valuesMissing
청소년실여부 has 60 (100.0%) missing valuesMissing
특수조명여부 has 60 (100.0%) missing valuesMissing
방음시설여부 has 60 (100.0%) missing valuesMissing
비디오재생기명 has 60 (100.0%) missing valuesMissing
조명시설유무 has 60 (100.0%) missing valuesMissing
음향시설여부 has 60 (100.0%) missing valuesMissing
편의시설여부 has 60 (100.0%) missing valuesMissing
소방시설여부 has 60 (100.0%) missing valuesMissing
총게임기수 has 36 (60.0%) missing valuesMissing
기존게임업외업종명 has 41 (68.3%) missing valuesMissing
공연장형태구분명 has 60 (100.0%) missing valuesMissing
품목명 has 60 (100.0%) missing valuesMissing
최초등록시점 has 60 (100.0%) missing valuesMissing
번호 has unique valuesUnique
도로명전체주소 has unique valuesUnique
최종수정시점 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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
비상계단여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상구여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자동환기여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
특수조명여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방음시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비디오재생기명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
음향시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
편의시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소방시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공연장형태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
품목명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
최초등록시점 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총게임기수 has 1 (1.7%) zerosZeros

Reproduction

Analysis started2024-04-20 16:55:01.295308
Analysis finished2024-04-20 16:55:02.352993
Duration1.06 second
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 size668.0 B
2024-04-21T01:55:02.536860image/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
2024-04-21T01:55:02.969542image/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 size608.0 B
복합유통게임제공업
60 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
복합유통게임제공업 60
100.0%

Length

2024-04-21T01:55:03.398217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T01:55:03.876857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
복합유통게임제공업 60
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size608.0 B
03_05_04_P
60 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row03_05_04_P
2nd row03_05_04_P
3rd row03_05_04_P
4th row03_05_04_P
5th row03_05_04_P

Common Values

ValueCountFrequency (%)
03_05_04_P 60
100.0%

Length

2024-04-21T01:55:04.193542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T01:55:04.501374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_05_04_p 60
100.0%

개방자치단체코드
Real number (ℝ)

Distinct7
Distinct (%)11.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3435666.7
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size668.0 B
2024-04-21T01:55:04.769735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13410000
median3420000
Q33452500
95-th percentile3470000
Maximum3480000
Range70000
Interquartile range (IQR)42500

Descriptive statistics

Standard deviation24312.002
Coefficient of variation (CV)0.0070763565
Kurtosis-1.4879369
Mean3435666.7
Median Absolute Deviation (MAD)10000
Skewness0.32240393
Sum2.0614 × 108
Variance5.9107345 × 108
MonotonicityIncreasing
2024-04-21T01:55:05.135423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3410000 19
31.7%
3420000 12
20.0%
3450000 12
20.0%
3470000 9
15.0%
3460000 4
 
6.7%
3440000 2
 
3.3%
3480000 2
 
3.3%
ValueCountFrequency (%)
3410000 19
31.7%
3420000 12
20.0%
3440000 2
 
3.3%
3450000 12
20.0%
3460000 4
 
6.7%
3470000 9
15.0%
3480000 2
 
3.3%
ValueCountFrequency (%)
3480000 2
 
3.3%
3470000 9
15.0%
3460000 4
 
6.7%
3450000 12
20.0%
3440000 2
 
3.3%
3420000 12
20.0%
3410000 19
31.7%
Distinct39
Distinct (%)65.0%
Missing0
Missing (%)0.0%
Memory size608.0 B
2024-04-21T01:55:05.918991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1200
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

Unique27 ?
Unique (%)45.0%

Sample

1st rowCDFF2241032017000004
2nd rowCDFF2241032018000001
3rd rowCDFF2241032018000003
4th rowCDFF2241032010000002
5th rowCDFF2241032008000001
ValueCountFrequency (%)
cdff2241032008000001 4
 
6.7%
cdff2241032009000001 3
 
5.0%
cdff2241032020000001 3
 
5.0%
cdff2241032016000001 3
 
5.0%
cdff2241032018000001 3
 
5.0%
cdff2241032013000001 3
 
5.0%
cdff2241032011000001 3
 
5.0%
cdff2241032002000001 3
 
5.0%
cdff2241032018000002 2
 
3.3%
cdff2241032002000002 2
 
3.3%
Other values (29) 31
51.7%
2024-04-21T01:55:06.813459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 447
37.2%
2 203
16.9%
1 136
 
11.3%
F 120
 
10.0%
3 68
 
5.7%
4 66
 
5.5%
C 60
 
5.0%
D 60
 
5.0%
8 16
 
1.3%
9 10
 
0.8%
Other values (3) 14
 
1.2%

Most occurring categories

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

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 447
46.6%
2 203
21.1%
1 136
 
14.2%
3 68
 
7.1%
4 66
 
6.9%
8 16
 
1.7%
9 10
 
1.0%
7 6
 
0.6%
6 5
 
0.5%
5 3
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
F 120
50.0%
C 60
25.0%
D 60
25.0%

Most occurring scripts

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

Most frequent character per script

Common
ValueCountFrequency (%)
0 447
46.6%
2 203
21.1%
1 136
 
14.2%
3 68
 
7.1%
4 66
 
6.9%
8 16
 
1.7%
9 10
 
1.0%
7 6
 
0.6%
6 5
 
0.5%
5 3
 
0.3%
Latin
ValueCountFrequency (%)
F 120
50.0%
C 60
25.0%
D 60
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1200
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 447
37.2%
2 203
16.9%
1 136
 
11.3%
F 120
 
10.0%
3 68
 
5.7%
4 66
 
5.5%
C 60
 
5.0%
D 60
 
5.0%
8 16
 
1.3%
9 10
 
0.8%
Other values (3) 14
 
1.2%

인허가일자
Real number (ℝ)

Distinct58
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20117133
Minimum19980321
Maximum20211207
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size668.0 B
2024-04-21T01:55:07.067580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19980321
5-th percentile20019956
Q120080526
median20110860
Q320170975
95-th percentile20200513
Maximum20211207
Range230886
Interquartile range (IQR)90448.75

Descriptive statistics

Standard deviation63010.989
Coefficient of variation (CV)0.0031322053
Kurtosis-0.95642424
Mean20117133
Median Absolute Deviation (MAD)59546.5
Skewness-0.37494637
Sum1.207028 × 109
Variance3.9703847 × 109
MonotonicityNot monotonic
2024-04-21T01:55:07.316355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20161213 2
 
3.3%
20040427 2
 
3.3%
20170831 1
 
1.7%
20080522 1
 
1.7%
20211207 1
 
1.7%
20160323 1
 
1.7%
20080529 1
 
1.7%
20110817 1
 
1.7%
20020809 1
 
1.7%
20021218 1
 
1.7%
Other values (48) 48
80.0%
ValueCountFrequency (%)
19980321 1
1.7%
19990213 1
1.7%
20011207 1
1.7%
20020417 1
1.7%
20020809 1
1.7%
20021125 1
1.7%
20021214 1
1.7%
20021218 1
1.7%
20031223 1
1.7%
20040427 2
3.3%
ValueCountFrequency (%)
20211207 1
1.7%
20201102 1
1.7%
20200518 1
1.7%
20200513 1
1.7%
20200311 1
1.7%
20200121 1
1.7%
20190430 1
1.7%
20180803 1
1.7%
20180524 1
1.7%
20180501 1
1.7%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size668.0 B
Distinct3
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size608.0 B
3
37 
1
22 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
3 37
61.7%
1 22
36.7%
4 1
 
1.7%

Length

2024-04-21T01:55:07.536078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T01:55:07.707961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 37
61.7%
1 22
36.7%
4 1
 
1.7%

영업상태명
Categorical

Distinct3
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size608.0 B
폐업
37 
영업/정상
22 
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length2
Mean length3.3
Min length2

Unique

Unique1 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 37
61.7%
영업/정상 22
36.7%
취소/말소/만료/정지/중지 1
 
1.7%

Length

2024-04-21T01:55:07.897911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T01:55:08.080049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 37
61.7%
영업/정상 22
36.7%
취소/말소/만료/정지/중지 1
 
1.7%
Distinct3
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size608.0 B
3
37 
13
22 
35
 
1

Length

Max length2
Median length1
Mean length1.3833333
Min length1

Unique

Unique1 ?
Unique (%)1.7%

Sample

1st row3
2nd row35
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
3 37
61.7%
13 22
36.7%
35 1
 
1.7%

Length

2024-04-21T01:55:08.336002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T01:55:08.660666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 37
61.7%
13 22
36.7%
35 1
 
1.7%
Distinct3
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size608.0 B
폐업
37 
영업중
22 
직권말소
 
1

Length

Max length4
Median length2
Mean length2.4
Min length2

Unique

Unique1 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 37
61.7%
영업중 22
36.7%
직권말소 1
 
1.7%

Length

2024-04-21T01:55:09.039064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T01:55:09.388667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 37
61.7%
영업중 22
36.7%
직권말소 1
 
1.7%

폐업일자
Real number (ℝ)

MISSING 

Distinct36
Distinct (%)94.7%
Missing22
Missing (%)36.7%
Infinite0
Infinite (%)0.0%
Mean20133059
Minimum20041001
Maximum20211130
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size668.0 B
2024-04-21T01:55:09.721011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20041001
5-th percentile20041001
Q120073463
median20135810
Q320190628
95-th percentile20210854
Maximum20211130
Range170129
Interquartile range (IQR)117165

Descriptive statistics

Standard deviation59114.59
Coefficient of variation (CV)0.0029361952
Kurtosis-1.3016728
Mean20133059
Median Absolute Deviation (MAD)55291.5
Skewness-0.2762247
Sum7.6505624 × 108
Variance3.4945348 × 109
MonotonicityNot monotonic
2024-04-21T01:55:10.135042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
20041001 3
 
5.0%
20071115 1
 
1.7%
20080528 1
 
1.7%
20200604 1
 
1.7%
20140626 1
 
1.7%
20180731 1
 
1.7%
20210825 1
 
1.7%
20130403 1
 
1.7%
20151223 1
 
1.7%
20070831 1
 
1.7%
Other values (26) 26
43.3%
(Missing) 22
36.7%
ValueCountFrequency (%)
20041001 3
5.0%
20041022 1
 
1.7%
20050107 1
 
1.7%
20050509 1
 
1.7%
20050524 1
 
1.7%
20070528 1
 
1.7%
20070831 1
 
1.7%
20071115 1
 
1.7%
20080508 1
 
1.7%
20080528 1
 
1.7%
ValueCountFrequency (%)
20211130 1
1.7%
20211018 1
1.7%
20210825 1
1.7%
20210105 1
1.7%
20201204 1
1.7%
20200604 1
1.7%
20200403 1
1.7%
20191202 1
1.7%
20190716 1
1.7%
20190701 1
1.7%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size668.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size668.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size668.0 B

소재지전화
Text

MISSING 

Distinct21
Distinct (%)100.0%
Missing39
Missing (%)65.0%
Memory size608.0 B
2024-04-21T01:55:10.858072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.333333
Min length8

Characters and Unicode

Total characters217
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
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 row053-286-5658
2nd row053-428-6969
3rd row070-8610-6597
4th row070-8224-0218
5th row053-291-5301
ValueCountFrequency (%)
053-286-5658 1
 
4.8%
053)959-6400 1
 
4.8%
585-0918 1
 
4.8%
582-2403 1
 
4.8%
588-0110 1
 
4.8%
524-3107 1
 
4.8%
053-781-6606 1
 
4.8%
751-8929 1
 
4.8%
053-325-2965 1
 
4.8%
053-325-8588 1
 
4.8%
Other values (11) 11
52.4%
2024-04-21T01:55:11.942302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 29
13.4%
0 28
12.9%
5 26
12.0%
8 25
11.5%
3 23
10.6%
2 19
8.8%
6 15
6.9%
1 15
6.9%
9 14
6.5%
4 11
 
5.1%
Other values (2) 12
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 186
85.7%
Dash Punctuation 29
 
13.4%
Close Punctuation 2
 
0.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 28
15.1%
5 26
14.0%
8 25
13.4%
3 23
12.4%
2 19
10.2%
6 15
8.1%
1 15
8.1%
9 14
7.5%
4 11
 
5.9%
7 10
 
5.4%
Dash Punctuation
ValueCountFrequency (%)
- 29
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 217
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 29
13.4%
0 28
12.9%
5 26
12.0%
8 25
11.5%
3 23
10.6%
2 19
8.8%
6 15
6.9%
1 15
6.9%
9 14
6.5%
4 11
 
5.1%
Other values (2) 12
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 217
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 29
13.4%
0 28
12.9%
5 26
12.0%
8 25
11.5%
3 23
10.6%
2 19
8.8%
6 15
6.9%
1 15
6.9%
9 14
6.5%
4 11
 
5.1%
Other values (2) 12
5.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size668.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)91.7%
Missing48
Missing (%)80.0%
Infinite0
Infinite (%)0.0%
Mean704275.67
Minimum701802
Maximum706839
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size668.0 B
2024-04-21T01:55:12.306238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum701802
5-th percentile701811.35
Q1702828
median704928.5
Q3705157.75
95-th percentile706819.2
Maximum706839
Range5037
Interquartile range (IQR)2329.75

Descriptive statistics

Standard deviation1794.8934
Coefficient of variation (CV)0.0025485666
Kurtosis-1.3442317
Mean704275.67
Median Absolute Deviation (MAD)1892.5
Skewness-0.02297061
Sum8451308
Variance3221642.4
MonotonicityNot monotonic
2024-04-21T01:55:12.674827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
704936 2
 
3.3%
701819 1
 
1.7%
701802 1
 
1.7%
705811 1
 
1.7%
702851 1
 
1.7%
702831 1
 
1.7%
702819 1
 
1.7%
706803 1
 
1.7%
706839 1
 
1.7%
704940 1
 
1.7%
(Missing) 48
80.0%
ValueCountFrequency (%)
701802 1
1.7%
701819 1
1.7%
702819 1
1.7%
702831 1
1.7%
702851 1
1.7%
704921 1
1.7%
704936 2
3.3%
704940 1
1.7%
705811 1
1.7%
706803 1
1.7%
ValueCountFrequency (%)
706839 1
1.7%
706803 1
1.7%
705811 1
1.7%
704940 1
1.7%
704936 2
3.3%
704921 1
1.7%
702851 1
1.7%
702831 1
1.7%
702819 1
1.7%
701819 1
1.7%

소재지전체주소
Text

MISSING 

Distinct59
Distinct (%)100.0%
Missing1
Missing (%)1.7%
Memory size608.0 B
2024-04-21T01:55:13.757608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length30
Mean length25.474576
Min length17

Characters and Unicode

Total characters1503
Distinct characters106
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique59 ?
Unique (%)100.0%

Sample

1st row대구광역시 중구 삼덕동1가 17-16 지하1층
2nd row대구광역시 중구 삼덕동1가 15-1번지 지상2층
3rd row대구광역시 중구 공평동 46-10 지상2층
4th row대구광역시 중구 삼덕동1가 9-3번지 (지상3층)
5th row대구광역시 중구 삼덕동1가 18-7번지
ValueCountFrequency (%)
대구광역시 59
21.0%
중구 19
 
6.8%
북구 12
 
4.3%
동구 11
 
3.9%
달서구 9
 
3.2%
삼덕동1가 8
 
2.8%
지상2층 6
 
2.1%
지하1층 5
 
1.8%
공평동 5
 
1.8%
지상3층 4
 
1.4%
Other values (113) 143
50.9%
2024-04-21T01:55:15.254360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
281
18.7%
120
 
8.0%
1 77
 
5.1%
73
 
4.9%
71
 
4.7%
66
 
4.4%
60
 
4.0%
59
 
3.9%
59
 
3.9%
- 49
 
3.3%
Other values (96) 588
39.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 846
56.3%
Decimal Number 301
 
20.0%
Space Separator 281
 
18.7%
Dash Punctuation 49
 
3.3%
Close Punctuation 11
 
0.7%
Open Punctuation 11
 
0.7%
Other Punctuation 3
 
0.2%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
120
14.2%
73
 
8.6%
71
 
8.4%
66
 
7.8%
60
 
7.1%
59
 
7.0%
59
 
7.0%
49
 
5.8%
29
 
3.4%
19
 
2.2%
Other values (80) 241
28.5%
Decimal Number
ValueCountFrequency (%)
1 77
25.6%
2 45
15.0%
3 35
11.6%
0 27
 
9.0%
4 24
 
8.0%
5 22
 
7.3%
6 18
 
6.0%
8 18
 
6.0%
7 18
 
6.0%
9 17
 
5.6%
Space Separator
ValueCountFrequency (%)
281
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 49
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 846
56.3%
Common 657
43.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
120
14.2%
73
 
8.6%
71
 
8.4%
66
 
7.8%
60
 
7.1%
59
 
7.0%
59
 
7.0%
49
 
5.8%
29
 
3.4%
19
 
2.2%
Other values (80) 241
28.5%
Common
ValueCountFrequency (%)
281
42.8%
1 77
 
11.7%
- 49
 
7.5%
2 45
 
6.8%
3 35
 
5.3%
0 27
 
4.1%
4 24
 
3.7%
5 22
 
3.3%
6 18
 
2.7%
8 18
 
2.7%
Other values (6) 61
 
9.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 846
56.3%
ASCII 657
43.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
281
42.8%
1 77
 
11.7%
- 49
 
7.5%
2 45
 
6.8%
3 35
 
5.3%
0 27
 
4.1%
4 24
 
3.7%
5 22
 
3.3%
6 18
 
2.7%
8 18
 
2.7%
Other values (6) 61
 
9.3%
Hangul
ValueCountFrequency (%)
120
14.2%
73
 
8.6%
71
 
8.4%
66
 
7.8%
60
 
7.1%
59
 
7.0%
59
 
7.0%
49
 
5.8%
29
 
3.4%
19
 
2.2%
Other values (80) 241
28.5%
Distinct60
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size608.0 B
2024-04-21T01:55:16.558060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length37
Mean length30.166667
Min length22

Characters and Unicode

Total characters1810
Distinct characters122
Distinct categories8 ?
Distinct scripts2 ?
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 row대구광역시 중구 동성로5길 50, 지하1층 (삼덕동1가)
2nd row대구광역시 중구 동성로3길 35, 지상2층 (삼덕동1가)
3rd row대구광역시 중구 동성로2길 49-12, 지상2층 (공평동)
4th row대구광역시 중구 동성로1길 29-36 (삼덕동1가,(지상3층))
5th row대구광역시 중구 동성로5길 45 (삼덕동1가)
ValueCountFrequency (%)
대구광역시 60
 
16.9%
중구 19
 
5.4%
북구 12
 
3.4%
동구 12
 
3.4%
달서구 9
 
2.5%
지하1층 8
 
2.3%
삼덕동1가 6
 
1.7%
지상2층 5
 
1.4%
2층 4
 
1.1%
수성구 4
 
1.1%
Other values (165) 216
60.8%
2024-04-21T01:55:18.262410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
312
 
17.2%
125
 
6.9%
98
 
5.4%
81
 
4.5%
1 74
 
4.1%
) 66
 
3.6%
( 66
 
3.6%
63
 
3.5%
61
 
3.4%
60
 
3.3%
Other values (112) 804
44.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1006
55.6%
Space Separator 312
 
17.2%
Decimal Number 288
 
15.9%
Close Punctuation 66
 
3.6%
Open Punctuation 66
 
3.6%
Other Punctuation 60
 
3.3%
Dash Punctuation 11
 
0.6%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
125
 
12.4%
98
 
9.7%
81
 
8.1%
63
 
6.3%
61
 
6.1%
60
 
6.0%
60
 
6.0%
45
 
4.5%
29
 
2.9%
29
 
2.9%
Other values (96) 355
35.3%
Decimal Number
ValueCountFrequency (%)
1 74
25.7%
2 58
20.1%
3 38
13.2%
4 30
10.4%
5 22
 
7.6%
0 17
 
5.9%
6 15
 
5.2%
9 12
 
4.2%
7 12
 
4.2%
8 10
 
3.5%
Space Separator
ValueCountFrequency (%)
312
100.0%
Close Punctuation
ValueCountFrequency (%)
) 66
100.0%
Open Punctuation
ValueCountFrequency (%)
( 66
100.0%
Other Punctuation
ValueCountFrequency (%)
, 60
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1006
55.6%
Common 804
44.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
125
 
12.4%
98
 
9.7%
81
 
8.1%
63
 
6.3%
61
 
6.1%
60
 
6.0%
60
 
6.0%
45
 
4.5%
29
 
2.9%
29
 
2.9%
Other values (96) 355
35.3%
Common
ValueCountFrequency (%)
312
38.8%
1 74
 
9.2%
) 66
 
8.2%
( 66
 
8.2%
, 60
 
7.5%
2 58
 
7.2%
3 38
 
4.7%
4 30
 
3.7%
5 22
 
2.7%
0 17
 
2.1%
Other values (6) 61
 
7.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1006
55.6%
ASCII 804
44.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
312
38.8%
1 74
 
9.2%
) 66
 
8.2%
( 66
 
8.2%
, 60
 
7.5%
2 58
 
7.2%
3 38
 
4.7%
4 30
 
3.7%
5 22
 
2.7%
0 17
 
2.1%
Other values (6) 61
 
7.6%
Hangul
ValueCountFrequency (%)
125
 
12.4%
98
 
9.7%
81
 
8.1%
63
 
6.3%
61
 
6.1%
60
 
6.0%
60
 
6.0%
45
 
4.5%
29
 
2.9%
29
 
2.9%
Other values (96) 355
35.3%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct30
Distinct (%)76.9%
Missing21
Missing (%)35.0%
Infinite0
Infinite (%)0.0%
Mean92611.026
Minimum41026
Maximum704921
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size668.0 B
2024-04-21T01:55:18.634382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41026
5-th percentile41068.8
Q141423
median41937
Q341942.5
95-th percentile701920
Maximum704921
Range663895
Interquartile range (IQR)519.5

Descriptive statistics

Standard deviation178567.13
Coefficient of variation (CV)1.9281412
Kurtosis9.395453
Mean92611.026
Median Absolute Deviation (MAD)513
Skewness3.3038636
Sum3611830
Variance3.1886221 × 1010
MonotonicityNot monotonic
2024-04-21T01:55:19.017197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
41942 4
 
6.7%
41937 3
 
5.0%
41941 3
 
5.0%
41423 2
 
3.3%
41424 2
 
3.3%
41955 1
 
1.7%
41598 1
 
1.7%
42925 1
 
1.7%
42645 1
 
1.7%
704921 1
 
1.7%
Other values (20) 20
33.3%
(Missing) 21
35.0%
ValueCountFrequency (%)
41026 1
1.7%
41067 1
1.7%
41069 1
1.7%
41087 1
1.7%
41097 1
1.7%
41105 1
1.7%
41198 1
1.7%
41229 1
1.7%
41244 1
1.7%
41423 2
3.3%
ValueCountFrequency (%)
704921 1
1.7%
702865 1
1.7%
701815 1
1.7%
42925 1
1.7%
42737 1
1.7%
42645 1
1.7%
42498 1
1.7%
42272 1
1.7%
41955 1
1.7%
41943 1
1.7%
Distinct56
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Memory size608.0 B
2024-04-21T01:55:19.946365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length13
Mean length6.9
Min length2

Characters and Unicode

Total characters414
Distinct characters140
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

Unique52 ?
Unique (%)86.7%

Sample

1st row아이존팝 대구동성로점
2nd row쿵스
3rd row오빠네 놀이터
4th row멀티스 멀티방
5th row멀티플러스
ValueCountFrequency (%)
짱오락실 2
 
2.7%
멀티방 2
 
2.7%
먹방pc 2
 
2.7%
대구동성로점 2
 
2.7%
아이존팝 2
 
2.7%
올레pc 2
 
2.7%
오타쿠용산점 2
 
2.7%
안녕,브이알(vr 1
 
1.4%
락pc방&게임장 1
 
1.4%
pc 1
 
1.4%
Other values (57) 57
77.0%
2024-04-21T01:55:21.331043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
18
 
4.3%
14
 
3.4%
14
 
3.4%
P 13
 
3.1%
13
 
3.1%
C 11
 
2.7%
11
 
2.7%
10
 
2.4%
10
 
2.4%
9
 
2.2%
Other values (130) 291
70.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 345
83.3%
Uppercase Letter 38
 
9.2%
Space Separator 14
 
3.4%
Close Punctuation 4
 
1.0%
Open Punctuation 4
 
1.0%
Lowercase Letter 4
 
1.0%
Other Punctuation 3
 
0.7%
Decimal Number 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
18
 
5.2%
14
 
4.1%
13
 
3.8%
11
 
3.2%
10
 
2.9%
10
 
2.9%
9
 
2.6%
9
 
2.6%
8
 
2.3%
8
 
2.3%
Other values (109) 235
68.1%
Uppercase Letter
ValueCountFrequency (%)
P 13
34.2%
C 11
28.9%
V 3
 
7.9%
D 2
 
5.3%
R 2
 
5.3%
M 2
 
5.3%
E 2
 
5.3%
B 1
 
2.6%
F 1
 
2.6%
G 1
 
2.6%
Lowercase Letter
ValueCountFrequency (%)
t 1
25.0%
i 1
25.0%
n 1
25.0%
u 1
25.0%
Other Punctuation
ValueCountFrequency (%)
& 2
66.7%
, 1
33.3%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
1 1
50.0%
Space Separator
ValueCountFrequency (%)
14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 345
83.3%
Latin 42
 
10.1%
Common 27
 
6.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
18
 
5.2%
14
 
4.1%
13
 
3.8%
11
 
3.2%
10
 
2.9%
10
 
2.9%
9
 
2.6%
9
 
2.6%
8
 
2.3%
8
 
2.3%
Other values (109) 235
68.1%
Latin
ValueCountFrequency (%)
P 13
31.0%
C 11
26.2%
V 3
 
7.1%
D 2
 
4.8%
R 2
 
4.8%
M 2
 
4.8%
E 2
 
4.8%
B 1
 
2.4%
t 1
 
2.4%
i 1
 
2.4%
Other values (4) 4
 
9.5%
Common
ValueCountFrequency (%)
14
51.9%
) 4
 
14.8%
( 4
 
14.8%
& 2
 
7.4%
2 1
 
3.7%
1 1
 
3.7%
, 1
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 345
83.3%
ASCII 69
 
16.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
18
 
5.2%
14
 
4.1%
13
 
3.8%
11
 
3.2%
10
 
2.9%
10
 
2.9%
9
 
2.6%
9
 
2.6%
8
 
2.3%
8
 
2.3%
Other values (109) 235
68.1%
ASCII
ValueCountFrequency (%)
14
20.3%
P 13
18.8%
C 11
15.9%
) 4
 
5.8%
( 4
 
5.8%
V 3
 
4.3%
D 2
 
2.9%
R 2
 
2.9%
& 2
 
2.9%
M 2
 
2.9%
Other values (11) 12
17.4%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct60
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0154222 × 1013
Minimum2.0041002 × 1013
Maximum2.0211216 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size668.0 B
2024-04-21T01:55:21.741187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0041002 × 1013
5-th percentile2.0049653 × 1013
Q12.0130595 × 1013
median2.0180469 × 1013
Q32.020018 × 1013
95-th percentile2.0211024 × 1013
Maximum2.0211216 × 1013
Range1.7021406 × 1011
Interquartile range (IQR)6.9584732 × 1010

Descriptive statistics

Standard deviation5.4241408 × 1010
Coefficient of variation (CV)0.0026913174
Kurtosis-0.48912061
Mean2.0154222 × 1013
Median Absolute Deviation (MAD)2.9549525 × 1010
Skewness-0.89674308
Sum1.2092533 × 1015
Variance2.9421303 × 1021
MonotonicityNot monotonic
2024-04-21T01:55:22.185320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20210105180059 1
 
1.7%
20180927114520 1
 
1.7%
20211207172743 1
 
1.7%
20190829094116 1
 
1.7%
20200327112040 1
 
1.7%
20171230110117 1
 
1.7%
20070831165702 1
 
1.7%
20050509104241 1
 
1.7%
20080528144316 1
 
1.7%
20200604134425 1
 
1.7%
Other values (50) 50
83.3%
ValueCountFrequency (%)
20041002101549 1
1.7%
20041019100604 1
1.7%
20041022174809 1
1.7%
20050107141752 1
1.7%
20050509104241 1
1.7%
20050524152213 1
1.7%
20070831165702 1
1.7%
20071008140142 1
1.7%
20071008140409 1
1.7%
20071115161940 1
1.7%
ValueCountFrequency (%)
20211216163748 1
1.7%
20211207172743 1
1.7%
20211130163415 1
1.7%
20211018094533 1
1.7%
20210825164027 1
1.7%
20210310144241 1
1.7%
20210105180059 1
1.7%
20201221103755 1
1.7%
20201204173813 1
1.7%
20201201110104 1
1.7%
Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size608.0 B
I
34 
U
26 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 34
56.7%
U 26
43.3%

Length

2024-04-21T01:55:22.594132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T01:55:22.900970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 34
56.7%
u 26
43.3%
Distinct30
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Memory size608.0 B
Minimum2018-08-31 23:59:59
Maximum2021-12-18 02:40:00
2024-04-21T01:55:23.212457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T01:55:23.818745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size668.0 B

좌표정보(X)
Real number (ℝ)

Distinct59
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean343800.38
Minimum332237.18
Maximum356353.92
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size668.0 B
2024-04-21T01:55:24.170370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum332237.18
5-th percentile334801.28
Q1340633.72
median344136.78
Q3346286.43
95-th percentile354802.3
Maximum356353.92
Range24116.737
Interquartile range (IQR)5652.7077

Descriptive statistics

Standard deviation5365.0125
Coefficient of variation (CV)0.015605022
Kurtosis0.30512085
Mean343800.38
Median Absolute Deviation (MAD)3001.4647
Skewness0.22416175
Sum20628023
Variance28783360
MonotonicityNot monotonic
2024-04-21T01:55:24.421606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
345339.559469 2
 
3.3%
344182.352362 1
 
1.7%
344203.891808 1
 
1.7%
341595.800758 1
 
1.7%
336669.393047 1
 
1.7%
339649.960477 1
 
1.7%
345244.201069 1
 
1.7%
343510.573192 1
 
1.7%
345758.975343 1
 
1.7%
341054.430533 1
 
1.7%
Other values (49) 49
81.7%
ValueCountFrequency (%)
332237.177954 1
1.7%
334785.333196 1
1.7%
334785.46325 1
1.7%
334802.110007 1
1.7%
334828.990892 1
1.7%
335186.778586 1
1.7%
335921.026634 1
1.7%
336669.393047 1
1.7%
337858.032263 1
1.7%
338231.087541 1
1.7%
ValueCountFrequency (%)
356353.91544 1
1.7%
355737.129429 1
1.7%
355000.12373 1
1.7%
354791.889641 1
1.7%
353185.22597 1
1.7%
352868.536649 1
1.7%
350436.176028 1
1.7%
348125.895699 1
1.7%
348023.651513 1
1.7%
347591.270009 1
1.7%

좌표정보(Y)
Real number (ℝ)

Distinct59
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean264951.55
Minimum259196.37
Maximum272558.59
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size668.0 B
2024-04-21T01:55:24.668038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum259196.37
5-th percentile260619.07
Q1263304.04
median264313.84
Q3265935.98
95-th percentile272411.19
Maximum272558.59
Range13362.214
Interquartile range (IQR)2631.9455

Descriptive statistics

Standard deviation3012.8711
Coefficient of variation (CV)0.011371404
Kurtosis1.3389334
Mean264951.55
Median Absolute Deviation (MAD)1269.0167
Skewness0.97655986
Sum15897093
Variance9077392.6
MonotonicityNot monotonic
2024-04-21T01:55:24.928281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
266290.669591 2
 
3.3%
264191.272383 1
 
1.7%
264147.064731 1
 
1.7%
260624.346943 1
 
1.7%
267199.15477 1
 
1.7%
271483.126926 1
 
1.7%
267055.079261 1
 
1.7%
266134.259921 1
 
1.7%
267509.761053 1
 
1.7%
272539.695671 1
 
1.7%
Other values (49) 49
81.7%
ValueCountFrequency (%)
259196.371149 1
1.7%
259297.712539 1
1.7%
260518.743056 1
1.7%
260624.346943 1
1.7%
260676.330672 1
1.7%
261097.220321 1
1.7%
262605.902003 1
1.7%
262696.822116 1
1.7%
262752.321733 1
1.7%
262752.338541 1
1.7%
ValueCountFrequency (%)
272558.585334 1
1.7%
272539.695671 1
1.7%
272501.710869 1
1.7%
272406.42694 1
1.7%
271483.126926 1
1.7%
270181.333117 1
1.7%
269625.166995 1
1.7%
267509.761053 1
1.7%
267199.15477 1
1.7%
267055.079261 1
1.7%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size608.0 B
복합유통게임제공업
60 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
복합유통게임제공업 60
100.0%

Length

2024-04-21T01:55:25.159553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T01:55:25.319176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
복합유통게임제공업 60
100.0%

문화사업자구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size608.0 B
유통관련업
60 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 60
100.0%

Length

2024-04-21T01:55:25.488388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T01:55:25.648910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 60
100.0%

총층수
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)21.6%
Missing9
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean5.745098
Minimum2
Maximum16
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size668.0 B
2024-04-21T01:55:25.787891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q14
median6
Q36.5
95-th percentile9.5
Maximum16
Range14
Interquartile range (IQR)2.5

Descriptive statistics

Standard deviation2.6141395
Coefficient of variation (CV)0.45502087
Kurtosis4.356152
Mean5.745098
Median Absolute Deviation (MAD)1
Skewness1.5277945
Sum293
Variance6.8337255
MonotonicityNot monotonic
2024-04-21T01:55:25.978643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
6 14
23.3%
5 9
15.0%
4 6
10.0%
3 5
 
8.3%
8 4
 
6.7%
7 4
 
6.7%
2 4
 
6.7%
9 2
 
3.3%
16 1
 
1.7%
13 1
 
1.7%
(Missing) 9
15.0%
ValueCountFrequency (%)
2 4
 
6.7%
3 5
 
8.3%
4 6
10.0%
5 9
15.0%
6 14
23.3%
7 4
 
6.7%
8 4
 
6.7%
9 2
 
3.3%
10 1
 
1.7%
13 1
 
1.7%
ValueCountFrequency (%)
16 1
 
1.7%
13 1
 
1.7%
10 1
 
1.7%
9 2
 
3.3%
8 4
 
6.7%
7 4
 
6.7%
6 14
23.3%
5 9
15.0%
4 6
10.0%
3 5
 
8.3%

주변환경명
Categorical

Distinct6
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size608.0 B
기타
25 
<NA>
18 
유흥업소밀집지역
학교정화(상대)
아파트지역

Length

Max length8
Median length5
Mean length4.1
Min length2

Unique

Unique1 ?
Unique (%)1.7%

Sample

1st row유흥업소밀집지역
2nd row기타
3rd row기타
4th row학교정화(상대)
5th row<NA>

Common Values

ValueCountFrequency (%)
기타 25
41.7%
<NA> 18
30.0%
유흥업소밀집지역 8
 
13.3%
학교정화(상대) 5
 
8.3%
아파트지역 3
 
5.0%
주택가주변 1
 
1.7%

Length

2024-04-21T01:55:26.213501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T01:55:26.407630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타 25
41.7%
na 18
30.0%
유흥업소밀집지역 8
 
13.3%
학교정화(상대 5
 
8.3%
아파트지역 3
 
5.0%
주택가주변 1
 
1.7%
Distinct19
Distinct (%)55.9%
Missing26
Missing (%)43.3%
Memory size608.0 B
2024-04-21T01:55:26.948194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length21
Mean length11.647059
Min length2

Characters and Unicode

Total characters396
Distinct characters54
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

Unique14 ?
Unique (%)41.2%

Sample

1st row노래연습장업, 청소년게임제공업
2nd row노래연습장업, 청소년게임제공업
3rd row청소년게임제공업, 노래연습장업
4th row노래연습장업
5th row노래,영화감상,인터넷컴퓨터게임시설제공
ValueCountFrequency (%)
노래연습장업 13
28.9%
청소년게임제공업 9
20.0%
휴게음식점 6
13.3%
1개의기기에서게임.노래.영화감상등을제공 2
 
4.4%
노래연습장 2
 
4.4%
기타유원시설업 1
 
2.2%
청소년 1
 
2.2%
식품접객업(휴게음식점 1
 
2.2%
pc방 1
 
2.2%
게임장 1
 
2.2%
Other values (8) 8
17.8%
2024-04-21T01:55:27.822258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
31
 
7.8%
26
 
6.6%
23
 
5.8%
23
 
5.8%
20
 
5.1%
19
 
4.8%
19
 
4.8%
18
 
4.5%
17
 
4.3%
17
 
4.3%
Other values (44) 183
46.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 355
89.6%
Other Punctuation 20
 
5.1%
Space Separator 11
 
2.8%
Decimal Number 2
 
0.5%
Open Punctuation 2
 
0.5%
Math Symbol 2
 
0.5%
Close Punctuation 2
 
0.5%
Uppercase Letter 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
31
 
8.7%
26
 
7.3%
23
 
6.5%
23
 
6.5%
20
 
5.6%
19
 
5.4%
19
 
5.4%
18
 
5.1%
17
 
4.8%
17
 
4.8%
Other values (35) 142
40.0%
Other Punctuation
ValueCountFrequency (%)
, 16
80.0%
. 4
 
20.0%
Uppercase Letter
ValueCountFrequency (%)
P 1
50.0%
C 1
50.0%
Space Separator
ValueCountFrequency (%)
11
100.0%
Decimal Number
ValueCountFrequency (%)
1 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 355
89.6%
Common 39
 
9.8%
Latin 2
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
31
 
8.7%
26
 
7.3%
23
 
6.5%
23
 
6.5%
20
 
5.6%
19
 
5.4%
19
 
5.4%
18
 
5.1%
17
 
4.8%
17
 
4.8%
Other values (35) 142
40.0%
Common
ValueCountFrequency (%)
, 16
41.0%
11
28.2%
. 4
 
10.3%
1 2
 
5.1%
( 2
 
5.1%
+ 2
 
5.1%
) 2
 
5.1%
Latin
ValueCountFrequency (%)
P 1
50.0%
C 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 355
89.6%
ASCII 41
 
10.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
31
 
8.7%
26
 
7.3%
23
 
6.5%
23
 
6.5%
20
 
5.6%
19
 
5.4%
19
 
5.4%
18
 
5.1%
17
 
4.8%
17
 
4.8%
Other values (35) 142
40.0%
ASCII
ValueCountFrequency (%)
, 16
39.0%
11
26.8%
. 4
 
9.8%
1 2
 
4.9%
( 2
 
4.9%
+ 2
 
4.9%
) 2
 
4.9%
P 1
 
2.4%
C 1
 
2.4%

시설면적
Real number (ℝ)

MISSING 

Distinct56
Distinct (%)98.2%
Missing3
Missing (%)5.0%
Infinite0
Infinite (%)0.0%
Mean270.7407
Minimum48.71
Maximum775.58
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size668.0 B
2024-04-21T01:55:28.227227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum48.71
5-th percentile111.84
Q1156.48
median233.1
Q3322.24
95-th percentile589.242
Maximum775.58
Range726.87
Interquartile range (IQR)165.76

Descriptive statistics

Standard deviation155.56994
Coefficient of variation (CV)0.57460862
Kurtosis2.1910896
Mean270.7407
Median Absolute Deviation (MAD)80.6
Skewness1.4240485
Sum15432.22
Variance24202.007
MonotonicityNot monotonic
2024-04-21T01:55:28.599910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
111.84 2
 
3.3%
270.5 1
 
1.7%
304.12 1
 
1.7%
383.94 1
 
1.7%
178.56 1
 
1.7%
584.19 1
 
1.7%
152.5 1
 
1.7%
191.97 1
 
1.7%
207.88 1
 
1.7%
245.5 1
 
1.7%
Other values (46) 46
76.7%
(Missing) 3
 
5.0%
ValueCountFrequency (%)
48.71 1
1.7%
92.25 1
1.7%
111.84 2
3.3%
117.06 1
1.7%
117.21 1
1.7%
118.65 1
1.7%
123.52 1
1.7%
130.0 1
1.7%
144.0 1
1.7%
147.84 1
1.7%
ValueCountFrequency (%)
775.58 1
1.7%
753.22 1
1.7%
609.45 1
1.7%
584.19 1
1.7%
491.28 1
1.7%
457.23 1
1.7%
452.35 1
1.7%
434.72 1
1.7%
425.59 1
1.7%
403.2 1
1.7%

지상층수
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)20.8%
Missing12
Missing (%)20.0%
Infinite0
Infinite (%)0.0%
Mean4.5625
Minimum1
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size668.0 B
2024-04-21T01:55:28.826349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median4
Q35
95-th percentile8.3
Maximum35
Range34
Interquartile range (IQR)3

Descriptive statistics

Standard deviation4.9461193
Coefficient of variation (CV)1.0840809
Kurtosis31.646613
Mean4.5625
Median Absolute Deviation (MAD)1.5
Skewness5.2145656
Sum219
Variance24.464096
MonotonicityNot monotonic
2024-04-21T01:55:29.014927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
4 13
21.7%
2 12
20.0%
3 7
11.7%
6 5
 
8.3%
5 4
 
6.7%
7 2
 
3.3%
1 2
 
3.3%
35 1
 
1.7%
12 1
 
1.7%
9 1
 
1.7%
(Missing) 12
20.0%
ValueCountFrequency (%)
1 2
 
3.3%
2 12
20.0%
3 7
11.7%
4 13
21.7%
5 4
 
6.7%
6 5
 
8.3%
7 2
 
3.3%
9 1
 
1.7%
12 1
 
1.7%
35 1
 
1.7%
ValueCountFrequency (%)
35 1
 
1.7%
12 1
 
1.7%
9 1
 
1.7%
7 2
 
3.3%
6 5
 
8.3%
5 4
 
6.7%
4 13
21.7%
3 7
11.7%
2 12
20.0%
1 2
 
3.3%

지하층수
Categorical

Distinct3
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size608.0 B
<NA>
40 
1
18 
0
 
2

Length

Max length4
Median length4
Mean length3
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 40
66.7%
1 18
30.0%
0 2
 
3.3%

Length

2024-04-21T01:55:29.239285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T01:55:29.415165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 40
66.7%
1 18
30.0%
0 2
 
3.3%

건물용도명
Categorical

Distinct5
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size608.0 B
근린생활시설
40 
<NA>
13 
판매시설
 
4
기타
 
2
유통시설
 
1

Length

Max length6
Median length6
Mean length5.2666667
Min length2

Unique

Unique1 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
근린생활시설 40
66.7%
<NA> 13
 
21.7%
판매시설 4
 
6.7%
기타 2
 
3.3%
유통시설 1
 
1.7%

Length

2024-04-21T01:55:29.615376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T01:55:29.810810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
근린생활시설 40
66.7%
na 13
 
21.7%
판매시설 4
 
6.7%
기타 2
 
3.3%
유통시설 1
 
1.7%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size608.0 B
<NA>
58 
0
 
2

Length

Max length4
Median length4
Mean length3.9
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> 58
96.7%
0 2
 
3.3%

Length

2024-04-21T01:55:30.020594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T01:55:30.195206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 58
96.7%
0 2
 
3.3%
Distinct6
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size608.0 B
<NA>
43 
40
10 
60
 
3
0
 
2
120
 
1

Length

Max length4
Median length4
Mean length3.4333333
Min length1

Unique

Unique2 ?
Unique (%)3.3%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row40

Common Values

ValueCountFrequency (%)
<NA> 43
71.7%
40 10
 
16.7%
60 3
 
5.0%
0 2
 
3.3%
120 1
 
1.7%
100 1
 
1.7%

Length

2024-04-21T01:55:30.375845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T01:55:30.565048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 43
71.7%
40 10
 
16.7%
60 3
 
5.0%
0 2
 
3.3%
120 1
 
1.7%
100 1
 
1.7%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size608.0 B
<NA>
58 
0
 
2

Length

Max length4
Median length4
Mean length3.9
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> 58
96.7%
0 2
 
3.3%

Length

2024-04-21T01:55:30.776011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T01:55:30.950637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 58
96.7%
0 2
 
3.3%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size608.0 B
<NA>
58 
0
 
2

Length

Max length4
Median length4
Mean length3.9
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> 58
96.7%
0 2
 
3.3%

Length

2024-04-21T01:55:31.136587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T01:55:31.315487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 58
96.7%
0 2
 
3.3%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size668.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size668.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size668.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size668.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size668.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size668.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size668.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size668.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size668.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size668.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size668.0 B

총게임기수
Real number (ℝ)

MISSING  ZEROS 

Distinct23
Distinct (%)95.8%
Missing36
Missing (%)60.0%
Infinite0
Infinite (%)0.0%
Mean62.083333
Minimum0
Maximum195
Zeros1
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size668.0 B
2024-04-21T01:55:31.484518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7.45
Q116.75
median34
Q3105.75
95-th percentile172.35
Maximum195
Range195
Interquartile range (IQR)89

Descriptive statistics

Standard deviation57.663881
Coefficient of variation (CV)0.92881419
Kurtosis-0.22890691
Mean62.083333
Median Absolute Deviation (MAD)24
Skewness0.92886163
Sum1490
Variance3325.1232
MonotonicityNot monotonic
2024-04-21T01:55:31.700587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
10 2
 
3.3%
31 1
 
1.7%
16 1
 
1.7%
116 1
 
1.7%
25 1
 
1.7%
91 1
 
1.7%
103 1
 
1.7%
180 1
 
1.7%
111 1
 
1.7%
104 1
 
1.7%
Other values (13) 13
 
21.7%
(Missing) 36
60.0%
ValueCountFrequency (%)
0 1
1.7%
7 1
1.7%
10 2
3.3%
12 1
1.7%
16 1
1.7%
17 1
1.7%
21 1
1.7%
25 1
1.7%
27 1
1.7%
29 1
1.7%
ValueCountFrequency (%)
195 1
1.7%
180 1
1.7%
129 1
1.7%
128 1
1.7%
116 1
1.7%
111 1
1.7%
104 1
1.7%
103 1
1.7%
91 1
1.7%
47 1
1.7%
Distinct13
Distinct (%)68.4%
Missing41
Missing (%)68.3%
Memory size608.0 B
2024-04-21T01:55:32.239671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length22
Mean length9.1578947
Min length3

Characters and Unicode

Total characters174
Distinct characters52
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

Unique11 ?
Unique (%)57.9%

Sample

1st row노래연습장
2nd row청소년게임장업
3rd row노래,영화감상,인터넷컴퓨터게임시설제공
4th row노래연습장업
5th row청소년게임제공업, 인터넷컴퓨터게임시설제공업
ValueCountFrequency (%)
노래연습장 5
23.8%
노래연습장업 4
19.0%
청소년게임장업 1
 
4.8%
노래,영화감상,인터넷컴퓨터게임시설제공 1
 
4.8%
청소년게임제공업 1
 
4.8%
인터넷컴퓨터게임시설제공업 1
 
4.8%
인터넷 1
 
4.8%
청소년게임제공업+인터넷컴퓨터게임시설제공업 1
 
4.8%
게임장 1
 
4.8%
pc방 1
 
4.8%
Other values (4) 4
19.0%
2024-04-21T01:55:33.073510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11
 
6.3%
11
 
6.3%
11
 
6.3%
11
 
6.3%
9
 
5.2%
9
 
5.2%
9
 
5.2%
8
 
4.6%
7
 
4.0%
6
 
3.4%
Other values (42) 82
47.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 159
91.4%
Other Punctuation 6
 
3.4%
Math Symbol 2
 
1.1%
Space Separator 2
 
1.1%
Uppercase Letter 2
 
1.1%
Close Punctuation 1
 
0.6%
Open Punctuation 1
 
0.6%
Decimal Number 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
11
 
6.9%
11
 
6.9%
11
 
6.9%
11
 
6.9%
9
 
5.7%
9
 
5.7%
9
 
5.7%
8
 
5.0%
7
 
4.4%
6
 
3.8%
Other values (33) 67
42.1%
Other Punctuation
ValueCountFrequency (%)
, 4
66.7%
. 2
33.3%
Uppercase Letter
ValueCountFrequency (%)
P 1
50.0%
C 1
50.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 159
91.4%
Common 13
 
7.5%
Latin 2
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
11
 
6.9%
11
 
6.9%
11
 
6.9%
11
 
6.9%
9
 
5.7%
9
 
5.7%
9
 
5.7%
8
 
5.0%
7
 
4.4%
6
 
3.8%
Other values (33) 67
42.1%
Common
ValueCountFrequency (%)
, 4
30.8%
. 2
15.4%
+ 2
15.4%
2
15.4%
) 1
 
7.7%
( 1
 
7.7%
1 1
 
7.7%
Latin
ValueCountFrequency (%)
P 1
50.0%
C 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 159
91.4%
ASCII 15
 
8.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
11
 
6.9%
11
 
6.9%
11
 
6.9%
11
 
6.9%
9
 
5.7%
9
 
5.7%
9
 
5.7%
8
 
5.0%
7
 
4.4%
6
 
3.8%
Other values (33) 67
42.1%
ASCII
ValueCountFrequency (%)
, 4
26.7%
. 2
13.3%
+ 2
13.3%
2
13.3%
P 1
 
6.7%
) 1
 
6.7%
( 1
 
6.7%
C 1
 
6.7%
1 1
 
6.7%
Distinct3
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size608.0 B
전체이용가
37 
<NA>
22 
전체이용가 및 청소년이용불가
 
1

Length

Max length15
Median length5
Mean length4.8
Min length4

Unique

Unique1 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
전체이용가 37
61.7%
<NA> 22
36.7%
전체이용가 및 청소년이용불가 1
 
1.7%

Length

2024-04-21T01:55:33.294110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T01:55:33.471606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전체이용가 38
61.3%
na 22
35.5%
1
 
1.6%
청소년이용불가 1
 
1.6%

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size668.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size668.0 B

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size668.0 B

지역구분명
Categorical

Distinct9
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Memory size608.0 B
중심상업지역
20 
일반상업지역
11 
일반주거지역
<NA>
상업지역
Other values (4)

Length

Max length6
Median length6
Mean length5.5166667
Min length4

Unique

Unique2 ?
Unique (%)3.3%

Sample

1st row중심상업지역
2nd row중심상업지역
3rd row일반상업지역
4th row일반상업지역
5th row중심상업지역

Common Values

ValueCountFrequency (%)
중심상업지역 20
33.3%
일반상업지역 11
18.3%
일반주거지역 9
15.0%
<NA> 8
 
13.3%
상업지역 4
 
6.7%
근린상업지역 3
 
5.0%
준주거지역 3
 
5.0%
주거지역 1
 
1.7%
일반공업지역 1
 
1.7%

Length

2024-04-21T01:55:33.836828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T01:55:34.151179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
중심상업지역 20
33.3%
일반상업지역 11
18.3%
일반주거지역 9
15.0%
na 8
 
13.3%
상업지역 4
 
6.7%
근린상업지역 3
 
5.0%
준주거지역 3
 
5.0%
주거지역 1
 
1.7%
일반공업지역 1
 
1.7%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
01복합유통게임제공업03_05_04_P3410000CDFF224103201700000420170831<NA>3폐업3폐업20210105<NA><NA><NA><NA><NA><NA>대구광역시 중구 삼덕동1가 17-16 지하1층대구광역시 중구 동성로5길 50, 지하1층 (삼덕동1가)41942아이존팝 대구동성로점20210105180059U2021-01-07 02:40:00.0<NA>344182.352362264191.272383복합유통게임제공업유통관련업5유흥업소밀집지역노래연습장업, 청소년게임제공업282.031근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>44노래연습장전체이용가<NA><NA><NA>중심상업지역
12복합유통게임제공업03_05_04_P3410000CDFF224103201800000120180117<NA>4취소/말소/만료/정지/중지35직권말소20190410<NA><NA><NA><NA><NA><NA>대구광역시 중구 삼덕동1가 15-1번지 지상2층대구광역시 중구 동성로3길 35, 지상2층 (삼덕동1가)41942쿵스20190410105218U2019-04-12 02:40:00.0<NA>344203.891808264147.064731복합유통게임제공업유통관련업5기타노래연습장업, 청소년게임제공업452.352<NA>유통시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA>중심상업지역
23복합유통게임제공업03_05_04_P3410000CDFF224103201800000320180524<NA>3폐업3폐업20201204<NA><NA><NA><NA><NA><NA>대구광역시 중구 공평동 46-10 지상2층대구광역시 중구 동성로2길 49-12, 지상2층 (공평동)41941오빠네 놀이터20201204173813U2020-12-06 02:40:00.0<NA>344084.239195264299.487868복합유통게임제공업유통관련업3기타청소년게임제공업, 노래연습장업123.522<NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA>일반상업지역
34복합유통게임제공업03_05_04_P3410000CDFF224103201000000220101223<NA>3폐업3폐업20140618<NA><NA><NA>053-286-5658<NA><NA>대구광역시 중구 삼덕동1가 9-3번지 (지상3층)대구광역시 중구 동성로1길 29-36 (삼덕동1가,(지상3층))<NA>멀티스 멀티방20140618100425I2018-08-31 23:59:59.0<NA>344024.512457264202.430695복합유통게임제공업유통관련업5학교정화(상대)노래연습장업178.023<NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>청소년게임장업전체이용가<NA><NA><NA>일반상업지역
45복합유통게임제공업03_05_04_P3410000CDFF224103200800000120080104<NA>3폐업3폐업20160311<NA><NA><NA>053-428-6969<NA><NA>대구광역시 중구 삼덕동1가 18-7번지대구광역시 중구 동성로5길 45 (삼덕동1가)<NA>멀티플러스20160318130959I2018-08-31 23:59:59.0<NA>344169.69527264233.013723복합유통게임제공업유통관련업6<NA>노래,영화감상,인터넷컴퓨터게임시설제공233.14<NA><NA><NA>40<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>노래,영화감상,인터넷컴퓨터게임시설제공전체이용가<NA><NA><NA>중심상업지역
56복합유통게임제공업03_05_04_P3410000CDFF224103200900000120090703<NA>3폐업3폐업20130819<NA><NA><NA>070-8610-6597<NA><NA>대구광역시 중구 삼덕동1가 22-28번지 4층대구광역시 중구 동성로5길 63 (삼덕동1가,4층)<NA>멀티벤치20130819164320I2018-08-31 23:59:59.0<NA>344263.329336264211.806501복합유통게임제공업유통관련업6기타노래연습장,영화감상,인터넷컴퓨터게임시설제공업202.641근린생활시설<NA>40<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA>중심상업지역
67복합유통게임제공업03_05_04_P3410000CDFF224103200900000220091015<NA>3폐업3폐업20130617<NA><NA><NA>070-8224-0218<NA><NA>대구광역시 중구 공평동 39번지 지상2층대구광역시 중구 동성로6길 12-3 (공평동,지상2층)<NA>스마일멀티방20130617140359I2018-08-31 23:59:59.0<NA>344078.445117264342.203911복합유통게임제공업유통관련업5기타노래242.7941근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA>중심상업지역
78복합유통게임제공업03_05_04_P3410000CDFF224103201700000120170106<NA>3폐업3폐업20190701<NA><NA><NA><NA><NA><NA>대구광역시 중구 대봉동 90-1번지 지상2층대구광역시 중구 대봉로47길 6 (대봉동, 지상2층)41955중독게임센터20190701143719U2019-07-03 02:40:00.0<NA>344527.311273263312.473024복합유통게임제공업유통관련업3기타청소년게임제공업, 노래연습장업48.712<NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>노래연습장업전체이용가<NA><NA><NA>일반주거지역
89복합유통게임제공업03_05_04_P3410000CDFF224103201100000120110902<NA>3폐업3폐업20150317<NA><NA><NA><NA><NA><NA>대구광역시 중구 공평동 55-34번지 외 1필지(지하1층)대구광역시 중구 동성로2길 50-13 (공평동,외 1필지(지하1층))<NA>게임천국20150317142616I2018-08-31 23:59:59.0<NA>344202.539055264284.093343복합유통게임제공업유통관련업4유흥업소밀집지역<NA>225.841근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA>중심상업지역
910복합유통게임제공업03_05_04_P3410000CDFF224103201700000220170210<NA>3폐업3폐업20190716<NA><NA><NA><NA><NA><NA>대구광역시 중구 삼덕동1가 7-6번지 지하1층대구광역시 중구 동성로2길 31 (삼덕동1가, 지하1층)41942브이알플러스 대구동성로점20190716170802U2019-07-18 02:40:00.0<NA>344103.859509264199.779843복합유통게임제공업유통관련업5기타<NA>130.0<NA>1근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>청소년게임제공업, 인터넷컴퓨터게임시설제공업전체이용가<NA><NA><NA>중심상업지역
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
5051복합유통게임제공업03_05_04_P3470000CDFF224103200400000120040427<NA>3폐업3폐업20041001<NA><NA><NA>524-3107<NA>704936대구광역시 달서구 용산동 920-1번지 (2층)대구광역시 달서구 용산큰못2길 22 (용산동,(2층))<NA>오타쿠용산점20041002101549I2018-08-31 23:59:59.0<NA>337858.032263263278.729154복합유통게임제공업유통관련업2기타<NA>111.842<NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>준주거지역
5152복합유통게임제공업03_05_04_P3470000CDFF224103200200000220020417<NA>3폐업3폐업20050524<NA><NA><NA>588-0110<NA>704940대구광역시 달서구 이곡동 1200-6번지 (지상3층)대구광역시 달서구 이곡서로 14 (이곡동,(지상3층))<NA>인터DVD시네마20050524152213I2018-08-31 23:59:59.0<NA>335921.026634262605.902003복합유통게임제공업유통관련업6<NA><NA>195.23<NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반상업지역
5253복합유통게임제공업03_05_04_P3470000CDFF224103200200000120021125<NA>3폐업3폐업20050107<NA><NA><NA>582-2403<NA>704921대구광역시 달서구 신당동 1721-4번지 (지상4층)대구광역시 달서구 서당로9길 47 (신당동,(지상4층))<NA>사이버멀티피시20050107141752I2018-08-31 23:59:59.0<NA>334785.333196262777.401588복합유통게임제공업유통관련업7<NA><NA>213.94<NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5354복합유통게임제공업03_05_04_P3470000CDFF224103200800000120080602<NA>3폐업3폐업20130530<NA><NA><NA>585-0918<NA><NA>대구광역시 달서구 신당동 1790-5번지 (1,2층)대구광역시 달서구 계대동문로 8 (신당동,(1,2층))<NA>조이플러스20130530163251I2018-08-31 23:59:59.0<NA>334802.110007262696.822116복합유통게임제공업유통관련업6학교정화(상대)노래연습장업322.246<NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>노래연습장업<NA><NA><NA><NA>일반주거지역
5455복합유통게임제공업03_05_04_P3470000CDFF224103200800000220080624<NA>3폐업3폐업20150211<NA><NA><NA><NA><NA><NA>대구광역시 달서구 신당동 1721-14번지대구광역시 달서구 계대동문로 11 (신당동)<NA>BEE(비) 멀티미디어카페20150211104916I2018-08-31 23:59:59.0<NA>334828.990892262752.321733복합유통게임제공업유통관련업7학교정화(상대)<NA>249.9661근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>멀티방전체이용가<NA><NA><NA><NA>
5556복합유통게임제공업03_05_04_P3470000CDFF224103201100000120110428<NA>1영업/정상13영업중<NA><NA><NA><NA>621-7733<NA><NA>대구광역시 달서구 송현동 1033-16번지 (3층)대구광역시 달서구 월배로 481 (송현동)42737오렌지멀티방20151006130147I2018-08-31 23:59:59.0<NA>340519.170058260676.330672복합유통게임제공업유통관련업<NA><NA>1개의기기에서게임.노래.영화감상등을제공159.6641근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>101개의기기에서게임.노래.영화감상등을제공<NA><NA><NA><NA>근린상업지역
5657복합유통게임제공업03_05_04_P3470000CDFF224103201100000220110607<NA>3폐업3폐업20131001<NA><NA><NA><NA><NA><NA>대구광역시 달서구 신당동 1721-17번지 (2,3층)대구광역시 달서구 계대동문로 5 (2, 3)층 (신당동)704921까페고릴라20131001164329I2018-08-31 23:59:59.0<NA>334785.46325262752.338541복합유통게임제공업유통관련업<NA>학교정화(상대)1개의기기에서게임.노래.영화감상등을제공403.2<NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>25<NA><NA><NA><NA><NA>일반주거지역
5758복합유통게임제공업03_05_04_P3470000CDFF224103201800000120180206<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달서구 두류동 494-4번지대구광역시 달서구 달구벌대로 1704, 5층 (두류동)42645안녕,브이알(VR)20180206151957I2018-08-31 23:59:59.0<NA>340128.488304262813.521521복합유통게임제공업유통관련업10<NA>식품접객업(휴게음식점)282.565<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>식품접객업(휴게음식점)<NA><NA><NA><NA>근린상업지역
5859복합유통게임제공업03_05_04_P3480000CDFF224103200900000120090220<NA>3폐업3폐업20120216<NA><NA><NA><NA><NA><NA>대구광역시 달성군 다사읍 매곡리 1546-8번지대구광역시 달성군 다사읍 달구벌대로 863<NA>엔조이락 PC20120216141523I2018-08-31 23:59:59.0<NA>332237.177954263095.169477복합유통게임제공업유통관련업9<NA>휴게음식점275.527<NA>근린생활시설<NA>60<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>116식품위생업전체이용가<NA><NA><NA>일반상업지역
5960복합유통게임제공업03_05_04_P3480000CDFF224103202000000120200311<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 다사읍 서재리 139-1대구광역시 달성군 다사읍 서재로 144, 1층42925가족오락실 동전노래연습장20211216163748U2021-12-18 02:40:00.0<NA>335186.778586265044.867747복합유통게임제공업유통관련업2<NA>노래연습장업+청소년게임제공업148.420<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>16<NA>전체이용가<NA><NA><NA><NA>