Overview

Dataset statistics

Number of variables59
Number of observations69
Missing cells1943
Missing cells (%)47.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory34.6 KiB
Average record size in memory513.9 B

Variable types

Numeric13
Categorical15
Text7
Unsupported23
DateTime1

Dataset

Description6270000_대구광역시_03_05_04_P_복합유통게임제공업_11월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000078215&dataSetDetailId=DDI_0000078235&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스ID has constant value ""Constant
문화체육업종명 has constant value ""Constant
문화사업자구분명 has constant value ""Constant
조명시설조도 is highly imbalanced (56.2%)Imbalance
인허가취소일자 has 69 (100.0%) missing valuesMissing
폐업일자 has 24 (34.8%) missing valuesMissing
휴업시작일자 has 69 (100.0%) missing valuesMissing
휴업종료일자 has 69 (100.0%) missing valuesMissing
재개업일자 has 69 (100.0%) missing valuesMissing
소재지전화 has 48 (69.6%) missing valuesMissing
소재지면적 has 69 (100.0%) missing valuesMissing
소재지우편번호 has 42 (60.9%) missing valuesMissing
소재지전체주소 has 1 (1.4%) missing valuesMissing
도로명전체주소 has 1 (1.4%) missing valuesMissing
도로명우편번호 has 36 (52.2%) missing valuesMissing
업태구분명 has 69 (100.0%) missing valuesMissing
총층수 has 21 (30.4%) missing valuesMissing
제작취급품목내용 has 41 (59.4%) missing valuesMissing
시설면적 has 18 (26.1%) missing valuesMissing
지상층수 has 24 (34.8%) missing valuesMissing
통로너비 has 69 (100.0%) missing valuesMissing
노래방실수 has 69 (100.0%) missing valuesMissing
청소년실수 has 69 (100.0%) missing valuesMissing
비상계단여부 has 69 (100.0%) missing valuesMissing
비상구여부 has 69 (100.0%) missing valuesMissing
자동환기여부 has 69 (100.0%) missing valuesMissing
청소년실여부 has 69 (100.0%) missing valuesMissing
특수조명여부 has 69 (100.0%) missing valuesMissing
방음시설여부 has 69 (100.0%) missing valuesMissing
비디오재생기명 has 69 (100.0%) missing valuesMissing
조명시설유무 has 69 (100.0%) missing valuesMissing
음향시설여부 has 69 (100.0%) missing valuesMissing
편의시설여부 has 69 (100.0%) missing valuesMissing
소방시설여부 has 69 (100.0%) missing valuesMissing
총게임기수 has 48 (69.6%) missing valuesMissing
기존게임업외업종명 has 52 (75.4%) missing valuesMissing
공연장형태구분명 has 69 (100.0%) missing valuesMissing
품목명 has 69 (100.0%) missing valuesMissing
최초등록시점 has 69 (100.0%) missing valuesMissing
번호 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
통로너비 is an unsupported type, check if it needs cleaning or further analysisUnsupported
노래방실수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실수 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

Reproduction

Analysis started2024-04-21 21:12:21.955501
Analysis finished2024-04-21 21:12:23.090318
Duration1.13 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct69
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35
Minimum1
Maximum69
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size749.0 B
2024-04-22T06:12:23.286014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.4
Q118
median35
Q352
95-th percentile65.6
Maximum69
Range68
Interquartile range (IQR)34

Descriptive statistics

Standard deviation20.062403
Coefficient of variation (CV)0.5732115
Kurtosis-1.2
Mean35
Median Absolute Deviation (MAD)17
Skewness0
Sum2415
Variance402.5
MonotonicityStrictly increasing
2024-04-22T06:12:23.729817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.4%
45 1
 
1.4%
51 1
 
1.4%
50 1
 
1.4%
49 1
 
1.4%
48 1
 
1.4%
47 1
 
1.4%
46 1
 
1.4%
44 1
 
1.4%
53 1
 
1.4%
Other values (59) 59
85.5%
ValueCountFrequency (%)
1 1
1.4%
2 1
1.4%
3 1
1.4%
4 1
1.4%
5 1
1.4%
6 1
1.4%
7 1
1.4%
8 1
1.4%
9 1
1.4%
10 1
1.4%
ValueCountFrequency (%)
69 1
1.4%
68 1
1.4%
67 1
1.4%
66 1
1.4%
65 1
1.4%
64 1
1.4%
63 1
1.4%
62 1
1.4%
61 1
1.4%
60 1
1.4%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size680.0 B
복합유통게임제공업
69 

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 69
100.0%

Length

2024-04-22T06:12:24.155394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:12:24.468108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
복합유통게임제공업 69
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size680.0 B
03_05_04_P
69 

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 69
100.0%

Length

2024-04-22T06:12:24.790662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:12:25.099843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_05_04_p 69
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)11.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3434927.5
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size749.0 B
2024-04-22T06:12:25.372425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13420000
median3430000
Q33450000
95-th percentile3470000
Maximum3480000
Range70000
Interquartile range (IQR)30000

Descriptive statistics

Standard deviation21325.433
Coefficient of variation (CV)0.0062084083
Kurtosis-1.0690011
Mean3434927.5
Median Absolute Deviation (MAD)20000
Skewness0.46004602
Sum2.3701 × 108
Variance4.5477408 × 108
MonotonicityIncreasing
2024-04-22T06:12:25.746151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3410000 16
23.2%
3430000 15
21.7%
3420000 11
15.9%
3450000 11
15.9%
3470000 9
13.0%
3460000 4
 
5.8%
3440000 2
 
2.9%
3480000 1
 
1.4%
ValueCountFrequency (%)
3410000 16
23.2%
3420000 11
15.9%
3430000 15
21.7%
3440000 2
 
2.9%
3450000 11
15.9%
3460000 4
 
5.8%
3470000 9
13.0%
3480000 1
 
1.4%
ValueCountFrequency (%)
3480000 1
 
1.4%
3470000 9
13.0%
3460000 4
 
5.8%
3450000 11
15.9%
3440000 2
 
2.9%
3430000 15
21.7%
3420000 11
15.9%
3410000 16
23.2%

관리번호
Text

Distinct50
Distinct (%)72.5%
Missing0
Missing (%)0.0%
Memory size680.0 B
2024-04-22T06:12:26.530478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1380
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

Unique39 ?
Unique (%)56.5%

Sample

1st rowCDFF2241032018000001
2nd rowCDFF2241032017000003
3rd rowCDFF2241032017000002
4th rowCDFF2241032011000001
5th rowCDFF2241032017000001
ValueCountFrequency (%)
cdff2241032008000001 4
 
5.8%
cdff2241032016000001 3
 
4.3%
cdff2241032013000001 3
 
4.3%
cdff2241032002000001 3
 
4.3%
cdff2241032011000001 3
 
4.3%
cdff2241032018000001 3
 
4.3%
cdff2241032009000001 3
 
4.3%
cdff2241032011000002 2
 
2.9%
cdff2241032018000002 2
 
2.9%
cdff2241032008000002 2
 
2.9%
Other values (40) 41
59.4%
2024-04-22T06:12:27.703318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 485
35.1%
2 210
15.2%
1 208
15.1%
F 138
 
10.0%
3 78
 
5.7%
4 77
 
5.6%
C 69
 
5.0%
D 69
 
5.0%
8 17
 
1.2%
9 11
 
0.8%
Other values (3) 18
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1104
80.0%
Uppercase Letter 276
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 485
43.9%
2 210
19.0%
1 208
18.8%
3 78
 
7.1%
4 77
 
7.0%
8 17
 
1.5%
9 11
 
1.0%
7 7
 
0.6%
6 6
 
0.5%
5 5
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
F 138
50.0%
C 69
25.0%
D 69
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1104
80.0%
Latin 276
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 485
43.9%
2 210
19.0%
1 208
18.8%
3 78
 
7.1%
4 77
 
7.0%
8 17
 
1.5%
9 11
 
1.0%
7 7
 
0.6%
6 6
 
0.5%
5 5
 
0.5%
Latin
ValueCountFrequency (%)
F 138
50.0%
C 69
25.0%
D 69
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1380
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 485
35.1%
2 210
15.2%
1 208
15.1%
F 138
 
10.0%
3 78
 
5.7%
4 77
 
5.6%
C 69
 
5.0%
D 69
 
5.0%
8 17
 
1.2%
9 11
 
0.8%
Other values (3) 18
 
1.3%

인허가일자
Real number (ℝ)

Distinct53
Distinct (%)76.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18151896
Minimum11111111
Maximum20190430
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size749.0 B
2024-04-22T06:12:27.959877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11111111
5-th percentile11111111
Q120011207
median20080805
Q320160113
95-th percentile20180468
Maximum20190430
Range9079319
Interquartile range (IQR)148906

Descriptive statistics

Standard deviation3738371.1
Coefficient of variation (CV)0.20594934
Kurtosis-0.040161276
Mean18151896
Median Absolute Deviation (MAD)79308
Skewness-1.400236
Sum1.2524809 × 109
Variance1.3975418 × 1013
MonotonicityNot monotonic
2024-04-22T06:12:28.209509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11111111 15
 
21.7%
20161213 2
 
2.9%
20040427 2
 
2.9%
20180117 1
 
1.4%
20160323 1
 
1.4%
20021218 1
 
1.4%
20020809 1
 
1.4%
20080317 1
 
1.4%
20080522 1
 
1.4%
20080805 1
 
1.4%
Other values (43) 43
62.3%
ValueCountFrequency (%)
11111111 15
21.7%
19980321 1
 
1.4%
19990213 1
 
1.4%
20011207 1
 
1.4%
20020417 1
 
1.4%
20020809 1
 
1.4%
20021125 1
 
1.4%
20021214 1
 
1.4%
20021218 1
 
1.4%
20031223 1
 
1.4%
ValueCountFrequency (%)
20190430 1
1.4%
20180803 1
1.4%
20180524 1
1.4%
20180501 1
1.4%
20180418 1
1.4%
20180206 1
1.4%
20180117 1
1.4%
20180102 1
1.4%
20171123 1
1.4%
20170926 1
1.4%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size749.0 B

영업상태구분코드
Categorical

Distinct3
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size680.0 B
3
44 
1
24 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
3 44
63.8%
1 24
34.8%
4 1
 
1.4%

Length

2024-04-22T06:12:28.441093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:12:28.615927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 44
63.8%
1 24
34.8%
4 1
 
1.4%

영업상태명
Categorical

Distinct3
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size680.0 B
폐업
44 
영업/정상
24 
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length2
Mean length3.2173913
Min length2

Unique

Unique1 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 44
63.8%
영업/정상 24
34.8%
취소/말소/만료/정지/중지 1
 
1.4%

Length

2024-04-22T06:12:29.090806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:12:29.276663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 44
63.8%
영업/정상 24
34.8%
취소/말소/만료/정지/중지 1
 
1.4%

상세영업상태코드
Categorical

Distinct3
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size680.0 B
3
44 
13
24 
35
 
1

Length

Max length2
Median length1
Mean length1.3623188
Min length1

Unique

Unique1 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
3 44
63.8%
13 24
34.8%
35 1
 
1.4%

Length

2024-04-22T06:12:29.471010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:12:29.644695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 44
63.8%
13 24
34.8%
35 1
 
1.4%

상세영업상태명
Categorical

Distinct3
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size680.0 B
폐업
44 
영업중
24 
직권말소
 
1

Length

Max length4
Median length2
Mean length2.3768116
Min length2

Unique

Unique1 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 44
63.8%
영업중 24
34.8%
직권말소 1
 
1.4%

Length

2024-04-22T06:12:29.847557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:12:30.039432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 44
63.8%
영업중 24
34.8%
직권말소 1
 
1.4%

폐업일자
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)64.4%
Missing24
Missing (%)34.8%
Infinite0
Infinite (%)0.0%
Mean20089738
Minimum20041001
Maximum20190716
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size749.0 B
2024-04-22T06:12:30.220632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20041001
5-th percentile20041005
Q120041230
median20070528
Q320131001
95-th percentile20188510
Maximum20190716
Range149715
Interquartile range (IQR)89771

Descriptive statistics

Standard deviation54367.232
Coefficient of variation (CV)0.0027062191
Kurtosis-1.252482
Mean20089738
Median Absolute Deviation (MAD)29298
Skewness0.58338954
Sum9.040382 × 108
Variance2.9557959 × 109
MonotonicityNot monotonic
2024-04-22T06:12:30.446988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
20041230 15
21.7%
20041001 3
 
4.3%
20070831 1
 
1.4%
20120216 1
 
1.4%
20050107 1
 
1.4%
20131001 1
 
1.4%
20150211 1
 
1.4%
20130530 1
 
1.4%
20050524 1
 
1.4%
20071115 1
 
1.4%
Other values (19) 19
27.5%
(Missing) 24
34.8%
ValueCountFrequency (%)
20041001 3
 
4.3%
20041022 1
 
1.4%
20041230 15
21.7%
20050107 1
 
1.4%
20050509 1
 
1.4%
20050524 1
 
1.4%
20070528 1
 
1.4%
20070831 1
 
1.4%
20071115 1
 
1.4%
20080508 1
 
1.4%
ValueCountFrequency (%)
20190716 1
1.4%
20190701 1
1.4%
20190410 1
1.4%
20180910 1
1.4%
20180731 1
1.4%
20160311 1
1.4%
20151223 1
1.4%
20150317 1
1.4%
20150211 1
1.4%
20140626 1
1.4%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size749.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size749.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size749.0 B

소재지전화
Text

MISSING 

Distinct21
Distinct (%)100.0%
Missing48
Missing (%)69.6%
Memory size680.0 B
2024-04-22T06:12:31.061121image/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 row070-8224-0218
2nd row070-8610-6597
3rd row053-428-6969
4th row053-286-5658
5th row053-291-5301
ValueCountFrequency (%)
070-8224-0218 1
 
4.8%
053)213-3030 1
 
4.8%
621-7733 1
 
4.8%
585-0918 1
 
4.8%
524-3107 1
 
4.8%
588-0110 1
 
4.8%
751-8929 1
 
4.8%
053-781-6606 1
 
4.8%
053-325-2965 1
 
4.8%
053-325-8588 1
 
4.8%
Other values (11) 11
52.4%
2024-04-22T06:12:31.883092image/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%
1 15
6.9%
6 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%
1 15
8.1%
6 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%
1 15
6.9%
6 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%
1 15
6.9%
6 15
6.9%
9 14
6.5%
4 11
 
5.1%
Other values (2) 12
5.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size749.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)92.6%
Missing42
Missing (%)60.9%
Infinite0
Infinite (%)0.0%
Mean704027.74
Minimum701802
Maximum706839
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size749.0 B
2024-04-22T06:12:32.269086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum701802
5-th percentile702119
Q1703807.5
median703836
Q3704386
95-th percentile706505.4
Maximum706839
Range5037
Interquartile range (IQR)578.5

Descriptive statistics

Standard deviation1189.2083
Coefficient of variation (CV)0.0016891497
Kurtosis1.2008984
Mean704027.74
Median Absolute Deviation (MAD)30
Skewness0.62250912
Sum19008749
Variance1414216.3
MonotonicityNot monotonic
2024-04-22T06:12:32.661686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
704936 2
 
2.9%
703851 2
 
2.9%
703802 1
 
1.4%
704921 1
 
1.4%
704940 1
 
1.4%
706803 1
 
1.4%
706839 1
 
1.4%
702851 1
 
1.4%
702831 1
 
1.4%
702819 1
 
1.4%
Other values (15) 15
 
21.7%
(Missing) 42
60.9%
ValueCountFrequency (%)
701802 1
1.4%
701819 1
1.4%
702819 1
1.4%
702831 1
1.4%
702851 1
1.4%
703802 1
1.4%
703806 1
1.4%
703809 1
1.4%
703811 1
1.4%
703820 1
1.4%
ValueCountFrequency (%)
706839 1
1.4%
706803 1
1.4%
705811 1
1.4%
704940 1
1.4%
704936 2
2.9%
704921 1
1.4%
703851 2
2.9%
703846 1
1.4%
703845 1
1.4%
703840 1
1.4%

소재지전체주소
Text

MISSING 

Distinct68
Distinct (%)100.0%
Missing1
Missing (%)1.4%
Memory size680.0 B
2024-04-22T06:12:33.724967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length29
Mean length25.102941
Min length19

Characters and Unicode

Total characters1707
Distinct characters102
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

Unique68 ?
Unique (%)100.0%

Sample

1st row대구광역시 중구 삼덕동1가 15-1번지 지상2층
2nd row대구광역시 중구 덕산동 124-22번지 지하1층
3rd row대구광역시 중구 삼덕동1가 7-6번지 지하1층
4th row대구광역시 중구 공평동 55-34번지 외 1필지(지하1층)
5th row대구광역시 중구 대봉동 90-1번지 지상2층
ValueCountFrequency (%)
대구광역시 68
21.7%
중구 16
 
5.1%
서구 15
 
4.8%
북구 11
 
3.5%
동구 10
 
3.2%
달서구 9
 
2.9%
삼덕동1가 8
 
2.5%
지상2층 6
 
1.9%
평리동 5
 
1.6%
지하1층 5
 
1.6%
Other values (123) 161
51.3%
2024-04-22T06:12:34.952284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
314
18.4%
구 138
 
8.1%
1 95
 
5.6%
지 92
 
5.4%
동 80
 
4.7%
대 76
 
4.5%
시 68
 
4.0%
역 68
 
4.0%
번 68
 
4.0%
광 68
 
4.0%
Other values (92) 640
37.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 960
56.2%
Decimal Number 349
 
20.4%
Space Separator 314
 
18.4%
Dash Punctuation 58
 
3.4%
Open Punctuation 11
 
0.6%
Close Punctuation 11
 
0.6%
Other Punctuation 3
 
0.2%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 138
14.4%
지 92
 
9.6%
동 80
 
8.3%
대 76
 
7.9%
시 68
 
7.1%
역 68
 
7.1%
번 68
 
7.1%
광 68
 
7.1%
층 29
 
3.0%
서 25
 
2.6%
Other values (76) 248
25.8%
Decimal Number
ValueCountFrequency (%)
1 95
27.2%
2 51
14.6%
3 44
12.6%
0 33
 
9.5%
7 26
 
7.4%
4 25
 
7.2%
6 21
 
6.0%
5 20
 
5.7%
8 17
 
4.9%
9 17
 
4.9%
Space Separator
ValueCountFrequency (%)
314
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 58
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 960
56.2%
Common 747
43.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 138
14.4%
지 92
 
9.6%
동 80
 
8.3%
대 76
 
7.9%
시 68
 
7.1%
역 68
 
7.1%
번 68
 
7.1%
광 68
 
7.1%
층 29
 
3.0%
서 25
 
2.6%
Other values (76) 248
25.8%
Common
ValueCountFrequency (%)
314
42.0%
1 95
 
12.7%
- 58
 
7.8%
2 51
 
6.8%
3 44
 
5.9%
0 33
 
4.4%
7 26
 
3.5%
4 25
 
3.3%
6 21
 
2.8%
5 20
 
2.7%
Other values (6) 60
 
8.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 960
56.2%
ASCII 747
43.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
314
42.0%
1 95
 
12.7%
- 58
 
7.8%
2 51
 
6.8%
3 44
 
5.9%
0 33
 
4.4%
7 26
 
3.5%
4 25
 
3.3%
6 21
 
2.8%
5 20
 
2.7%
Other values (6) 60
 
8.0%
Hangul
ValueCountFrequency (%)
구 138
14.4%
지 92
 
9.6%
동 80
 
8.3%
대 76
 
7.9%
시 68
 
7.1%
역 68
 
7.1%
번 68
 
7.1%
광 68
 
7.1%
층 29
 
3.0%
서 25
 
2.6%
Other values (76) 248
25.8%

도로명전체주소
Text

MISSING 

Distinct68
Distinct (%)100.0%
Missing1
Missing (%)1.4%
Memory size680.0 B
2024-04-22T06:12:36.075502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length34
Mean length28.705882
Min length22

Characters and Unicode

Total characters1952
Distinct characters124
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

Unique68 ?
Unique (%)100.0%

Sample

1st row대구광역시 중구 동성로3길 35, 지상2층 (삼덕동1가)
2nd row대구광역시 중구 동성로1길 22 (덕산동, 지하1층)
3rd row대구광역시 중구 동성로2길 31 (삼덕동1가, 지하1층)
4th row대구광역시 중구 동성로2길 50-13 (공평동,외 1필지(지하1층))
5th row대구광역시 중구 대봉로47길 6 (대봉동, 지상2층)
ValueCountFrequency (%)
대구광역시 68
 
17.7%
중구 16
 
4.2%
서구 14
 
3.6%
북구 11
 
2.9%
동구 11
 
2.9%
달서구 9
 
2.3%
지하1층 8
 
2.1%
삼덕동1가 6
 
1.6%
평리동 5
 
1.3%
지상2층 5
 
1.3%
Other values (175) 231
60.2%
2024-04-22T06:12:37.453474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
347
17.8%
구 145
 
7.4%
동 103
 
5.3%
대 94
 
4.8%
( 75
 
3.8%
) 75
 
3.8%
1 74
 
3.8%
로 70
 
3.6%
역 69
 
3.5%
광 68
 
3.5%
Other values (114) 832
42.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1100
56.4%
Space Separator 347
 
17.8%
Decimal Number 292
 
15.0%
Open Punctuation 75
 
3.8%
Close Punctuation 75
 
3.8%
Other Punctuation 49
 
2.5%
Dash Punctuation 13
 
0.7%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 145
 
13.2%
동 103
 
9.4%
대 94
 
8.5%
로 70
 
6.4%
역 69
 
6.3%
광 68
 
6.2%
시 68
 
6.2%
층 40
 
3.6%
서 33
 
3.0%
지 29
 
2.6%
Other values (98) 381
34.6%
Decimal Number
ValueCountFrequency (%)
1 74
25.3%
2 59
20.2%
3 39
13.4%
4 27
 
9.2%
5 21
 
7.2%
0 16
 
5.5%
8 15
 
5.1%
7 15
 
5.1%
6 13
 
4.5%
9 13
 
4.5%
Space Separator
ValueCountFrequency (%)
347
100.0%
Open Punctuation
ValueCountFrequency (%)
( 75
100.0%
Close Punctuation
ValueCountFrequency (%)
) 75
100.0%
Other Punctuation
ValueCountFrequency (%)
, 49
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1100
56.4%
Common 852
43.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 145
 
13.2%
동 103
 
9.4%
대 94
 
8.5%
로 70
 
6.4%
역 69
 
6.3%
광 68
 
6.2%
시 68
 
6.2%
층 40
 
3.6%
서 33
 
3.0%
지 29
 
2.6%
Other values (98) 381
34.6%
Common
ValueCountFrequency (%)
347
40.7%
( 75
 
8.8%
) 75
 
8.8%
1 74
 
8.7%
2 59
 
6.9%
, 49
 
5.8%
3 39
 
4.6%
4 27
 
3.2%
5 21
 
2.5%
0 16
 
1.9%
Other values (6) 70
 
8.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1100
56.4%
ASCII 852
43.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
347
40.7%
( 75
 
8.8%
) 75
 
8.8%
1 74
 
8.7%
2 59
 
6.9%
, 49
 
5.8%
3 39
 
4.6%
4 27
 
3.2%
5 21
 
2.5%
0 16
 
1.9%
Other values (6) 70
 
8.2%
Hangul
ValueCountFrequency (%)
구 145
 
13.2%
동 103
 
9.4%
대 94
 
8.5%
로 70
 
6.4%
역 69
 
6.3%
광 68
 
6.2%
시 68
 
6.2%
층 40
 
3.6%
서 33
 
3.0%
지 29
 
2.6%
Other values (98) 381
34.6%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct26
Distinct (%)78.8%
Missing36
Missing (%)52.2%
Infinite0
Infinite (%)0.0%
Mean101830.97
Minimum41026
Maximum704921
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size749.0 B
2024-04-22T06:12:37.666980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41026
5-th percentile41079
Q141423
median41937
Q341943
95-th percentile702235
Maximum704921
Range663895
Interquartile range (IQR)520

Descriptive statistics

Standard deviation193119.17
Coefficient of variation (CV)1.896468
Kurtosis7.3428862
Mean101830.97
Median Absolute Deviation (MAD)513
Skewness2.9834014
Sum3360422
Variance3.7295015 × 1010
MonotonicityNot monotonic
2024-04-22T06:12:37.875563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
41942 4
 
5.8%
41424 2
 
2.9%
41937 2
 
2.9%
41423 2
 
2.9%
41941 2
 
2.9%
41955 1
 
1.4%
42645 1
 
1.4%
42737 1
 
1.4%
704921 1
 
1.4%
42272 1
 
1.4%
Other values (16) 16
23.2%
(Missing) 36
52.2%
ValueCountFrequency (%)
41026 1
1.4%
41067 1
1.4%
41087 1
1.4%
41097 1
1.4%
41105 1
1.4%
41198 1
1.4%
41229 1
1.4%
41244 1
1.4%
41423 2
2.9%
41424 2
2.9%
ValueCountFrequency (%)
704921 1
 
1.4%
702865 1
 
1.4%
701815 1
 
1.4%
42737 1
 
1.4%
42645 1
 
1.4%
42498 1
 
1.4%
42272 1
 
1.4%
41955 1
 
1.4%
41943 1
 
1.4%
41942 4
5.8%

사업장명
Text

Distinct65
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Memory size680.0 B
2024-04-22T06:12:38.741389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length13
Mean length6.4637681
Min length2

Characters and Unicode

Total characters446
Distinct characters157
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

Unique61 ?
Unique (%)88.4%

Sample

1st row쿵스
2nd row엔터플레이
3rd row브이알플러스 대구동성로점
4th row게임천국
5th row중독게임센터
ValueCountFrequency (%)
사랑만들기 2
 
2.4%
멀티방 2
 
2.4%
먹방pc 2
 
2.4%
아이존팝 2
 
2.4%
대구동성로점 2
 
2.4%
오타쿠용산점 2
 
2.4%
올레pc 2
 
2.4%
엔조이락 1
 
1.2%
대명1점 1
 
1.2%
혜성상사 1
 
1.2%
Other values (66) 66
79.5%
2024-04-22T06:12:39.857484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 18
 
4.0%
방 15
 
3.4%
14
 
3.1%
P 13
 
2.9%
스 13
 
2.9%
C 11
 
2.5%
티 11
 
2.5%
성 10
 
2.2%
멀 10
 
2.2%
임 9
 
2.0%
Other values (147) 322
72.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 376
84.3%
Uppercase Letter 38
 
8.5%
Space Separator 14
 
3.1%
Close Punctuation 4
 
0.9%
Open Punctuation 4
 
0.9%
Other Punctuation 4
 
0.9%
Lowercase Letter 4
 
0.9%
Decimal Number 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 18
 
4.8%
방 15
 
4.0%
스 13
 
3.5%
티 11
 
2.9%
성 10
 
2.7%
멀 10
 
2.7%
임 9
 
2.4%
게 8
 
2.1%
점 8
 
2.1%
동 7
 
1.9%
Other values (126) 267
71.0%
Uppercase Letter
ValueCountFrequency (%)
P 13
34.2%
C 11
28.9%
V 3
 
7.9%
M 2
 
5.3%
R 2
 
5.3%
D 2
 
5.3%
E 2
 
5.3%
B 1
 
2.6%
G 1
 
2.6%
F 1
 
2.6%
Lowercase Letter
ValueCountFrequency (%)
u 1
25.0%
n 1
25.0%
i 1
25.0%
t 1
25.0%
Other Punctuation
ValueCountFrequency (%)
& 3
75.0%
, 1
 
25.0%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
2 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 376
84.3%
Latin 42
 
9.4%
Common 28
 
6.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 18
 
4.8%
방 15
 
4.0%
스 13
 
3.5%
티 11
 
2.9%
성 10
 
2.7%
멀 10
 
2.7%
임 9
 
2.4%
게 8
 
2.1%
점 8
 
2.1%
동 7
 
1.9%
Other values (126) 267
71.0%
Latin
ValueCountFrequency (%)
P 13
31.0%
C 11
26.2%
V 3
 
7.1%
M 2
 
4.8%
R 2
 
4.8%
D 2
 
4.8%
E 2
 
4.8%
B 1
 
2.4%
G 1
 
2.4%
F 1
 
2.4%
Other values (4) 4
 
9.5%
Common
ValueCountFrequency (%)
14
50.0%
) 4
 
14.3%
( 4
 
14.3%
& 3
 
10.7%
1 1
 
3.6%
2 1
 
3.6%
, 1
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 376
84.3%
ASCII 70
 
15.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 18
 
4.8%
방 15
 
4.0%
스 13
 
3.5%
티 11
 
2.9%
성 10
 
2.7%
멀 10
 
2.7%
임 9
 
2.4%
게 8
 
2.1%
점 8
 
2.1%
동 7
 
1.9%
Other values (126) 267
71.0%
ASCII
ValueCountFrequency (%)
14
20.0%
P 13
18.6%
C 11
15.7%
) 4
 
5.7%
( 4
 
5.7%
V 3
 
4.3%
& 3
 
4.3%
M 2
 
2.9%
R 2
 
2.9%
D 2
 
2.9%
Other values (11) 12
17.1%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct69
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0119782 × 1013
Minimum2.0041002 × 1013
Maximum2.0191128 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size749.0 B
2024-04-22T06:12:40.097156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0041002 × 1013
5-th percentile2.004123 × 1013
Q12.004123 × 1013
median2.0140313 × 1013
Q32.0180206 × 1013
95-th percentile2.019071 × 1013
Maximum2.0191128 × 1013
Range1.5012604 × 1011
Interquartile range (IQR)1.3897605 × 1011

Descriptive statistics

Standard deviation5.9988412 × 1010
Coefficient of variation (CV)0.0029815638
Kurtosis-1.6478558
Mean2.0119782 × 1013
Median Absolute Deviation (MAD)5.0097002 × 1010
Skewness-0.2671161
Sum1.3882649 × 1015
Variance3.5986096 × 1021
MonotonicityNot monotonic
2024-04-22T06:12:40.361714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20190410105218 1
 
1.4%
20080528144316 1
 
1.4%
20190628111259 1
 
1.4%
20140626144122 1
 
1.4%
20161117183721 1
 
1.4%
20171207135608 1
 
1.4%
20070831165702 1
 
1.4%
20050509104241 1
 
1.4%
20180927114520 1
 
1.4%
20171230110117 1
 
1.4%
Other values (59) 59
85.5%
ValueCountFrequency (%)
20041002101549 1
1.4%
20041019100604 1
1.4%
20041022174809 1
1.4%
20041230102450 1
1.4%
20041230102614 1
1.4%
20041230102702 1
1.4%
20041230102828 1
1.4%
20041230102930 1
1.4%
20041230103058 1
1.4%
20041230103152 1
1.4%
ValueCountFrequency (%)
20191128144749 1
1.4%
20190829094116 1
1.4%
20190813111018 1
1.4%
20190716170802 1
1.4%
20190701143719 1
1.4%
20190628111259 1
1.4%
20190430171817 1
1.4%
20190410105218 1
1.4%
20190118091008 1
1.4%
20190118090903 1
1.4%

데이터갱신구분
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size680.0 B
I
55 
U
14 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 55
79.7%
U 14
 
20.3%

Length

2024-04-22T06:12:40.602934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:12:40.773558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 55
79.7%
u 14
 
20.3%

데이터갱신일자
Date

Distinct14
Distinct (%)20.3%
Missing0
Missing (%)0.0%
Memory size680.0 B
Minimum2018-08-31 23:59:59
Maximum2019-11-30 02:40:00
2024-04-22T06:12:40.924611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T06:12:41.120193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size749.0 B

좌표정보(X)
Real number (ℝ)

Distinct68
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean343230.22
Minimum332237.18
Maximum355737.13
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size749.0 B
2024-04-22T06:12:41.362010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum332237.18
5-th percentile334812.86
Q1340567.39
median343944.39
Q3345339.56
95-th percentile353058.55
Maximum355737.13
Range23499.951
Interquartile range (IQR)4772.171

Descriptive statistics

Standard deviation4727.5936
Coefficient of variation (CV)0.013773827
Kurtosis0.91005896
Mean343230.22
Median Absolute Deviation (MAD)2908.1172
Skewness0.45611574
Sum23682885
Variance22350141
MonotonicityNot monotonic
2024-04-22T06:12:41.785854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
345339.559469 2
 
2.9%
344203.891808 1
 
1.4%
340782.708696 1
 
1.4%
339760.145054 1
 
1.4%
341036.277072 1
 
1.4%
341054.430533 1
 
1.4%
343510.573192 1
 
1.4%
345758.975343 1
 
1.4%
340567.388493 1
 
1.4%
341845.380526 1
 
1.4%
Other values (58) 58
84.1%
ValueCountFrequency (%)
332237.177954 1
1.4%
334785.333196 1
1.4%
334785.46325 1
1.4%
334802.110007 1
1.4%
334828.990892 1
1.4%
335921.026634 1
1.4%
337858.032263 1
1.4%
338231.087541 1
1.4%
338880.092588 1
1.4%
339649.960477 1
1.4%
ValueCountFrequency (%)
355737.129429 1
1.4%
355000.12373 1
1.4%
354791.889641 1
1.4%
353185.22597 1
1.4%
352868.536649 1
1.4%
350436.176028 1
1.4%
348125.895699 1
1.4%
348023.651513 1
1.4%
347591.270009 1
1.4%
347543.746817 1
1.4%

좌표정보(Y)
Real number (ℝ)

Distinct68
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean264940.23
Minimum259196.37
Maximum272558.59
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size749.0 B
2024-04-22T06:12:42.198997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum259196.37
5-th percentile260645.14
Q1263506.16
median264339.23
Q3265959.14
95-th percentile272037.11
Maximum272558.59
Range13362.214
Interquartile range (IQR)2452.9824

Descriptive statistics

Standard deviation2829.514
Coefficient of variation (CV)0.01067982
Kurtosis1.8302104
Mean264940.23
Median Absolute Deviation (MAD)1244.0604
Skewness1.0238242
Sum18280876
Variance8006149.6
MonotonicityNot monotonic
2024-04-22T06:12:42.656735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
266290.669591 2
 
2.9%
264147.064731 1
 
1.4%
272501.710869 1
 
1.4%
269625.166995 1
 
1.4%
272406.42694 1
 
1.4%
272539.695671 1
 
1.4%
266134.259921 1
 
1.4%
267509.761053 1
 
1.4%
260518.743056 1
 
1.4%
265312.405489 1
 
1.4%
Other values (58) 58
84.1%
ValueCountFrequency (%)
259196.371149 1
1.4%
259297.712539 1
1.4%
260518.743056 1
1.4%
260624.346943 1
1.4%
260676.330672 1
1.4%
261097.220321 1
1.4%
262605.902003 1
1.4%
262696.822116 1
1.4%
262752.321733 1
1.4%
262752.338541 1
1.4%
ValueCountFrequency (%)
272558.585334 1
1.4%
272539.695671 1
1.4%
272501.710869 1
1.4%
272406.42694 1
1.4%
271483.126926 1
1.4%
270181.333117 1
1.4%
269625.166995 1
1.4%
267509.761053 1
1.4%
267055.079261 1
1.4%
266463.100546 1
1.4%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size680.0 B
복합유통게임제공업
69 

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 69
100.0%

Length

2024-04-22T06:12:43.074704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:12:43.383716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
복합유통게임제공업 69
100.0%

문화사업자구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size680.0 B
유통관련업
69 

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 69
100.0%

Length

2024-04-22T06:12:43.705225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:12:44.013315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 69
100.0%

총층수
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)22.9%
Missing21
Missing (%)30.4%
Infinite0
Infinite (%)0.0%
Mean5.875
Minimum2
Maximum16
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size749.0 B
2024-04-22T06:12:44.274340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q14
median6
Q36.25
95-th percentile9.65
Maximum16
Range14
Interquartile range (IQR)2.25

Descriptive statistics

Standard deviation2.5733908
Coefficient of variation (CV)0.43802397
Kurtosis4.8055294
Mean5.875
Median Absolute Deviation (MAD)1
Skewness1.6842395
Sum282
Variance6.6223404
MonotonicityNot monotonic
2024-04-22T06:12:44.633940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
6 14
20.3%
5 9
13.0%
4 6
 
8.7%
3 5
 
7.2%
8 4
 
5.8%
7 3
 
4.3%
9 2
 
2.9%
2 2
 
2.9%
16 1
 
1.4%
13 1
 
1.4%
(Missing) 21
30.4%
ValueCountFrequency (%)
2 2
 
2.9%
3 5
 
7.2%
4 6
8.7%
5 9
13.0%
6 14
20.3%
7 3
 
4.3%
8 4
 
5.8%
9 2
 
2.9%
10 1
 
1.4%
13 1
 
1.4%
ValueCountFrequency (%)
16 1
 
1.4%
13 1
 
1.4%
10 1
 
1.4%
9 2
 
2.9%
8 4
 
5.8%
7 3
 
4.3%
6 14
20.3%
5 9
13.0%
4 6
8.7%
3 5
 
7.2%

주변환경명
Categorical

Distinct6
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size680.0 B
<NA>
30 
기타
22 
유흥업소밀집지역
8 
학교정화(상대)
5 
아파트지역
 
3

Length

Max length8
Median length5
Mean length4.173913
Min length2

Unique

Unique1 ?
Unique (%)1.4%

Sample

1st row기타
2nd row기타
3rd row기타
4th row유흥업소밀집지역
5th row기타

Common Values

ValueCountFrequency (%)
<NA> 30
43.5%
기타 22
31.9%
유흥업소밀집지역 8
 
11.6%
학교정화(상대) 5
 
7.2%
아파트지역 3
 
4.3%
주택가주변 1
 
1.4%

Length

2024-04-22T06:12:45.058370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:12:45.404931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
43.5%
기타 22
31.9%
유흥업소밀집지역 8
 
11.6%
학교정화(상대 5
 
7.2%
아파트지역 3
 
4.3%
주택가주변 1
 
1.4%

제작취급품목내용
Text

MISSING 

Distinct15
Distinct (%)53.6%
Missing41
Missing (%)59.4%
Memory size680.0 B
2024-04-22T06:12:46.020908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length21
Mean length12.214286
Min length2

Characters and Unicode

Total characters342
Distinct characters51
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

Unique10 ?
Unique (%)35.7%

Sample

1st row노래연습장업, 청소년게임제공업
2nd row청소년게임제공업, 휴게음식점
3rd row청소년게임제공업, 노래연습장업
4th row노래
5th row노래연습장,영화감상,인터넷컴퓨터게임시설제공업
ValueCountFrequency (%)
노래연습장업 11
28.2%
청소년게임제공업 9
23.1%
휴게음식점 6
15.4%
1개의기기에서게임.노래.영화감상등을제공 2
 
5.1%
노래 1
 
2.6%
노래연습장,영화감상,인터넷컴퓨터게임시설제공업 1
 
2.6%
노래,영화감상,인터넷컴퓨터게임시설제공 1
 
2.6%
인터넷컴퓨터게임시설제공업 1
 
2.6%
노래연습장 1
 
2.6%
청소년게임제공업,노래연습장 1
 
2.6%
Other values (5) 5
12.8%
2024-04-22T06:12:47.085802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
게 24
 
7.0%
업 24
 
7.0%
노 18
 
5.3%
래 18
 
5.3%
임 16
 
4.7%
, 16
 
4.7%
장 15
 
4.4%
제 15
 
4.4%
공 15
 
4.4%
연 14
 
4.1%
Other values (41) 167
48.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 303
88.6%
Other Punctuation 20
 
5.8%
Space Separator 11
 
3.2%
Close Punctuation 2
 
0.6%
Open Punctuation 2
 
0.6%
Decimal Number 2
 
0.6%
Uppercase Letter 2
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
게 24
 
7.9%
업 24
 
7.9%
노 18
 
5.9%
래 18
 
5.9%
임 16
 
5.3%
장 15
 
5.0%
제 15
 
5.0%
공 15
 
5.0%
연 14
 
4.6%
습 14
 
4.6%
Other values (33) 130
42.9%
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%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Decimal Number
ValueCountFrequency (%)
1 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 303
88.6%
Common 37
 
10.8%
Latin 2
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
게 24
 
7.9%
업 24
 
7.9%
노 18
 
5.9%
래 18
 
5.9%
임 16
 
5.3%
장 15
 
5.0%
제 15
 
5.0%
공 15
 
5.0%
연 14
 
4.6%
습 14
 
4.6%
Other values (33) 130
42.9%
Common
ValueCountFrequency (%)
, 16
43.2%
11
29.7%
. 4
 
10.8%
) 2
 
5.4%
( 2
 
5.4%
1 2
 
5.4%
Latin
ValueCountFrequency (%)
P 1
50.0%
C 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 303
88.6%
ASCII 39
 
11.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
게 24
 
7.9%
업 24
 
7.9%
노 18
 
5.9%
래 18
 
5.9%
임 16
 
5.3%
장 15
 
5.0%
제 15
 
5.0%
공 15
 
5.0%
연 14
 
4.6%
습 14
 
4.6%
Other values (33) 130
42.9%
ASCII
ValueCountFrequency (%)
, 16
41.0%
11
28.2%
. 4
 
10.3%
) 2
 
5.1%
( 2
 
5.1%
1 2
 
5.1%
P 1
 
2.6%
C 1
 
2.6%

시설면적
Real number (ℝ)

MISSING 

Distinct50
Distinct (%)98.0%
Missing18
Missing (%)26.1%
Infinite0
Infinite (%)0.0%
Mean253.96412
Minimum48.71
Maximum584.19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size749.0 B
2024-04-22T06:12:47.496706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum48.71
5-th percentile114.45
Q1163.31
median233.1
Q3311.185
95-th percentile454.79
Maximum584.19
Range535.48
Interquartile range (IQR)147.875

Descriptive statistics

Standard deviation115.88264
Coefficient of variation (CV)0.45629534
Kurtosis0.11748778
Mean253.96412
Median Absolute Deviation (MAD)73.44
Skewness0.73962758
Sum12952.17
Variance13428.787
MonotonicityNot monotonic
2024-04-22T06:12:47.938600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
111.84 2
 
2.9%
117.21 1
 
1.4%
584.19 1
 
1.4%
207.88 1
 
1.4%
303.75 1
 
1.4%
245.5 1
 
1.4%
383.94 1
 
1.4%
425.59 1
 
1.4%
178.56 1
 
1.4%
434.72 1
 
1.4%
Other values (40) 40
58.0%
(Missing) 18
26.1%
ValueCountFrequency (%)
48.71 1
1.4%
111.84 2
2.9%
117.06 1
1.4%
117.21 1
1.4%
123.52 1
1.4%
130.0 1
1.4%
144.0 1
1.4%
147.84 1
1.4%
152.5 1
1.4%
155.24 1
1.4%
ValueCountFrequency (%)
584.19 1
1.4%
491.28 1
1.4%
457.23 1
1.4%
452.35 1
1.4%
434.72 1
1.4%
425.59 1
1.4%
403.2 1
1.4%
389.0 1
1.4%
383.94 1
1.4%
371.07 1
1.4%

지상층수
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)22.2%
Missing24
Missing (%)34.8%
Infinite0
Infinite (%)0.0%
Mean4.6444444
Minimum1
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size749.0 B
2024-04-22T06:12:48.295110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median4
Q35
95-th percentile8.6
Maximum35
Range34
Interquartile range (IQR)3

Descriptive statistics

Standard deviation5.0549506
Coefficient of variation (CV)1.0883865
Kurtosis30.82318
Mean4.6444444
Median Absolute Deviation (MAD)1
Skewness5.1910542
Sum209
Variance25.552525
MonotonicityNot monotonic
2024-04-22T06:12:48.656785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
4 13
18.8%
2 11
15.9%
3 7
 
10.1%
6 5
 
7.2%
5 4
 
5.8%
12 1
 
1.4%
35 1
 
1.4%
9 1
 
1.4%
1 1
 
1.4%
7 1
 
1.4%
(Missing) 24
34.8%
ValueCountFrequency (%)
1 1
 
1.4%
2 11
15.9%
3 7
10.1%
4 13
18.8%
5 4
 
5.8%
6 5
 
7.2%
7 1
 
1.4%
9 1
 
1.4%
12 1
 
1.4%
35 1
 
1.4%
ValueCountFrequency (%)
35 1
 
1.4%
12 1
 
1.4%
9 1
 
1.4%
7 1
 
1.4%
6 5
 
7.2%
5 4
 
5.8%
4 13
18.8%
3 7
10.1%
2 11
15.9%
1 1
 
1.4%

지하층수
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size680.0 B
<NA>
51 
1
18 

Length

Max length4
Median length4
Mean length3.2173913
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 51
73.9%
1 18
 
26.1%

Length

2024-04-22T06:12:49.070758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:12:49.680251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 51
73.9%
1 18
 
26.1%

건물용도명
Categorical

Distinct5
Distinct (%)7.2%
Missing0
Missing (%)0.0%
Memory size680.0 B
근린생활시설
39 
<NA>
24 
판매시설
 
3
기타
 
2
유통시설
 
1

Length

Max length6
Median length6
Mean length5.0724638
Min length2

Unique

Unique1 ?
Unique (%)1.4%

Sample

1st row유통시설
2nd row근린생활시설
3rd row근린생활시설
4th row근린생활시설
5th row근린생활시설

Common Values

ValueCountFrequency (%)
근린생활시설 39
56.5%
<NA> 24
34.8%
판매시설 3
 
4.3%
기타 2
 
2.9%
유통시설 1
 
1.4%

Length

2024-04-22T06:12:49.968493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:12:50.173979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
근린생활시설 39
56.5%
na 24
34.8%
판매시설 3
 
4.3%
기타 2
 
2.9%
유통시설 1
 
1.4%

통로너비
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size749.0 B

조명시설조도
Categorical

IMBALANCE 

Distinct5
Distinct (%)7.2%
Missing0
Missing (%)0.0%
Memory size680.0 B
<NA>
55 
40
9 
60
 
3
120
 
1
100
 
1

Length

Max length4
Median length4
Mean length3.6231884
Min length2

Unique

Unique2 ?
Unique (%)2.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 55
79.7%
40 9
 
13.0%
60 3
 
4.3%
120 1
 
1.4%
100 1
 
1.4%

Length

2024-04-22T06:12:50.544656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:12:50.904199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 55
79.7%
40 9
 
13.0%
60 3
 
4.3%
120 1
 
1.4%
100 1
 
1.4%

노래방실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size749.0 B

청소년실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size749.0 B

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size749.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size749.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size749.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size749.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size749.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size749.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size749.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size749.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size749.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size749.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size749.0 B

총게임기수
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)95.2%
Missing48
Missing (%)69.6%
Infinite0
Infinite (%)0.0%
Mean69.380952
Minimum7
Maximum195
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size749.0 B
2024-04-22T06:12:51.237519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile10
Q125
median44
Q3111
95-th percentile180
Maximum195
Range188
Interquartile range (IQR)86

Descriptive statistics

Standard deviation58.029713
Coefficient of variation (CV)0.83639257
Kurtosis-0.50749682
Mean69.380952
Median Absolute Deviation (MAD)34
Skewness0.76387895
Sum1457
Variance3367.4476
MonotonicityNot monotonic
2024-04-22T06:12:51.631477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
10 2
 
2.9%
104 1
 
1.4%
116 1
 
1.4%
25 1
 
1.4%
103 1
 
1.4%
91 1
 
1.4%
12 1
 
1.4%
111 1
 
1.4%
129 1
 
1.4%
31 1
 
1.4%
Other values (10) 10
 
14.5%
(Missing) 48
69.6%
ValueCountFrequency (%)
7 1
1.4%
10 2
2.9%
12 1
1.4%
21 1
1.4%
25 1
1.4%
27 1
1.4%
29 1
1.4%
31 1
1.4%
37 1
1.4%
44 1
1.4%
ValueCountFrequency (%)
195 1
1.4%
180 1
1.4%
129 1
1.4%
128 1
1.4%
116 1
1.4%
111 1
1.4%
104 1
1.4%
103 1
1.4%
91 1
1.4%
47 1
1.4%

기존게임업외업종명
Text

MISSING 

Distinct13
Distinct (%)76.5%
Missing52
Missing (%)75.4%
Memory size680.0 B
2024-04-22T06:12:52.266861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length21
Mean length9.5882353
Min length3

Characters and Unicode

Total characters163
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 (%)64.7%

Sample

1st row청소년게임제공업, 인터넷컴퓨터게임시설제공업
2nd row노래연습장업
3rd row노래,영화감상,인터넷컴퓨터게임시설제공
4th row청소년게임장업
5th row노래연습장업
ValueCountFrequency (%)
노래연습장 4
21.1%
노래연습장업 3
15.8%
청소년게임제공업 1
 
5.3%
인터넷컴퓨터게임시설제공업 1
 
5.3%
노래,영화감상,인터넷컴퓨터게임시설제공 1
 
5.3%
청소년게임장업 1
 
5.3%
인터넷 1
 
5.3%
청소년게임제공업+인터넷컴퓨터게임시설제공업 1
 
5.3%
게임장 1
 
5.3%
pc방 1
 
5.3%
Other values (4) 4
21.1%
2024-04-22T06:12:53.340776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
업 10
 
6.1%
노 9
 
5.5%
래 9
 
5.5%
장 9
 
5.5%
게 9
 
5.5%
임 8
 
4.9%
연 7
 
4.3%
습 7
 
4.3%
터 7
 
4.3%
제 6
 
3.7%
Other values (42) 82
50.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 148
90.8%
Other Punctuation 6
 
3.7%
Math Symbol 2
 
1.2%
Space Separator 2
 
1.2%
Uppercase Letter 2
 
1.2%
Close Punctuation 1
 
0.6%
Open Punctuation 1
 
0.6%
Decimal Number 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 10
 
6.8%
노 9
 
6.1%
래 9
 
6.1%
장 9
 
6.1%
게 9
 
6.1%
임 8
 
5.4%
연 7
 
4.7%
습 7
 
4.7%
터 7
 
4.7%
제 6
 
4.1%
Other values (33) 67
45.3%
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 148
90.8%
Common 13
 
8.0%
Latin 2
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 10
 
6.8%
노 9
 
6.1%
래 9
 
6.1%
장 9
 
6.1%
게 9
 
6.1%
임 8
 
5.4%
연 7
 
4.7%
습 7
 
4.7%
터 7
 
4.7%
제 6
 
4.1%
Other values (33) 67
45.3%
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 148
90.8%
ASCII 15
 
9.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
업 10
 
6.8%
노 9
 
6.1%
래 9
 
6.1%
장 9
 
6.1%
게 9
 
6.1%
임 8
 
5.4%
연 7
 
4.7%
습 7
 
4.7%
터 7
 
4.7%
제 6
 
4.1%
Other values (33) 67
45.3%
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%

제공게임물명
Categorical

Distinct3
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size680.0 B
<NA>
36 
전체이용가
32 
전체이용가 및 청소년이용불가
 
1

Length

Max length15
Median length4
Mean length4.6231884
Min length4

Unique

Unique1 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 36
52.2%
전체이용가 32
46.4%
전체이용가 및 청소년이용불가 1
 
1.4%

Length

2024-04-22T06:12:53.759139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:12:54.086400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 36
50.7%
전체이용가 33
46.5%
및 1
 
1.4%
청소년이용불가 1
 
1.4%

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size749.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size749.0 B

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size749.0 B

지역구분명
Categorical

Distinct9
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Memory size680.0 B
<NA>
19 
중심상업지역
18 
일반상업지역
11 
일반주거지역
9 
상업지역
4 
Other values (4)
8 

Length

Max length6
Median length6
Mean length5.2608696
Min length4

Unique

Unique2 ?
Unique (%)2.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 19
27.5%
중심상업지역 18
26.1%
일반상업지역 11
15.9%
일반주거지역 9
13.0%
상업지역 4
 
5.8%
준주거지역 3
 
4.3%
근린상업지역 3
 
4.3%
주거지역 1
 
1.4%
일반공업지역 1
 
1.4%

Length

2024-04-22T06:12:54.470478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:12:54.843492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 19
27.5%
중심상업지역 18
26.1%
일반상업지역 11
15.9%
일반주거지역 9
13.0%
상업지역 4
 
5.8%
준주거지역 3
 
4.3%
근린상업지역 3
 
4.3%
주거지역 1
 
1.4%
일반공업지역 1
 
1.4%

Sample

번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
01복합유통게임제공업03_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
12복합유통게임제공업03_05_04_P3410000CDFF224103201700000320170602<NA>3폐업3폐업20180910<NA><NA><NA><NA><NA><NA>대구광역시 중구 덕산동 124-22번지 지하1층대구광역시 중구 동성로1길 22 (덕산동, 지하1층)41943엔터플레이20180910090643U2018-09-10 23:59:59.0<NA>343957.745049264095.525413복합유통게임제공업유통관련업6기타청소년게임제공업, 휴게음식점155.24<NA>1근린생활시설<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_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
34복합유통게임제공업03_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
45복합유통게임제공업03_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
56복합유통게임제공업03_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
67복합유통게임제공업03_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
78복합유통게임제공업03_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
89복합유통게임제공업03_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
910복합유통게임제공업03_05_04_P3410000CDFF224103201800000420180803<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 삼덕동1가 5-2번지 지상3층대구광역시 중구 동성로5길 25, 지상3층 (삼덕동1가)41941히트게임존20180803093456I2018-08-31 23:59:59.0<NA>344075.953606264266.216087복합유통게임제공업유통관련업8기타청소년게임제공업, 인터넷컴퓨터게임시설제공업, 노래연습장<NA>3<NA>판매시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA>중심상업지역
번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
5960복합유통게임제공업03_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
6061복합유통게임제공업03_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
6162복합유통게임제공업03_05_04_P3470000CDFF224103200400000220040427<NA>3폐업3폐업20041001<NA><NA><NA><NA><NA>704936대구광역시 달서구 용산동 933번지대구광역시 달서구 달구벌대로301길 187-11 (용산동)<NA>오타쿠용산점20041019100604I2018-08-31 23:59:59.0<NA>338231.087541263062.744526복합유통게임제공업유통관련업2기타<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
6263복합유통게임제공업03_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
6364복합유통게임제공업03_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>
6465복합유통게임제공업03_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
6566복합유통게임제공업03_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
6667복합유통게임제공업03_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>
6768복합유통게임제공업03_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
6869복합유통게임제공업03_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