Overview

Dataset statistics

Number of variables59
Number of observations74
Missing cells2080
Missing cells (%)47.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory37.1 KiB
Average record size in memory513.8 B

Variable types

Numeric13
Categorical16
Text7
Unsupported23

Dataset

Description6270000_대구광역시_03_05_04_P_복합유통게임제공업_4월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000089555&dataSetDetailId=DDI_0000089574&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 (56.7%)Imbalance
인허가취소일자 has 74 (100.0%) missing valuesMissing
폐업일자 has 24 (32.4%) missing valuesMissing
휴업시작일자 has 74 (100.0%) missing valuesMissing
휴업종료일자 has 74 (100.0%) missing valuesMissing
재개업일자 has 74 (100.0%) missing valuesMissing
소재지전화 has 53 (71.6%) missing valuesMissing
소재지면적 has 74 (100.0%) missing valuesMissing
소재지우편번호 has 47 (63.5%) missing valuesMissing
소재지전체주소 has 1 (1.4%) missing valuesMissing
도로명전체주소 has 1 (1.4%) missing valuesMissing
도로명우편번호 has 36 (48.6%) missing valuesMissing
업태구분명 has 74 (100.0%) missing valuesMissing
총층수 has 24 (32.4%) missing valuesMissing
제작취급품목내용 has 41 (55.4%) missing valuesMissing
시설면적 has 18 (24.3%) missing valuesMissing
지상층수 has 27 (36.5%) missing valuesMissing
통로너비 has 74 (100.0%) missing valuesMissing
노래방실수 has 74 (100.0%) missing valuesMissing
청소년실수 has 74 (100.0%) missing valuesMissing
비상계단여부 has 74 (100.0%) missing valuesMissing
비상구여부 has 74 (100.0%) missing valuesMissing
자동환기여부 has 74 (100.0%) missing valuesMissing
청소년실여부 has 74 (100.0%) missing valuesMissing
특수조명여부 has 74 (100.0%) missing valuesMissing
방음시설여부 has 74 (100.0%) missing valuesMissing
비디오재생기명 has 74 (100.0%) missing valuesMissing
조명시설유무 has 74 (100.0%) missing valuesMissing
음향시설여부 has 74 (100.0%) missing valuesMissing
편의시설여부 has 74 (100.0%) missing valuesMissing
소방시설여부 has 74 (100.0%) missing valuesMissing
총게임기수 has 51 (68.9%) missing valuesMissing
기존게임업외업종명 has 55 (74.3%) missing valuesMissing
공연장형태구분명 has 74 (100.0%) missing valuesMissing
품목명 has 74 (100.0%) missing valuesMissing
최초등록시점 has 74 (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 started2023-12-10 18:42:38.880126
Analysis finished2023-12-10 18:42:40.115467
Duration1.24 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct74
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.5
Minimum1
Maximum74
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size798.0 B
2023-12-11T03:42:40.280769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.65
Q119.25
median37.5
Q355.75
95-th percentile70.35
Maximum74
Range73
Interquartile range (IQR)36.5

Descriptive statistics

Standard deviation21.505813
Coefficient of variation (CV)0.57348835
Kurtosis-1.2
Mean37.5
Median Absolute Deviation (MAD)18.5
Skewness0
Sum2775
Variance462.5
MonotonicityStrictly increasing
2023-12-11T03:42:40.926719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.4%
57 1
 
1.4%
55 1
 
1.4%
54 1
 
1.4%
53 1
 
1.4%
52 1
 
1.4%
51 1
 
1.4%
50 1
 
1.4%
49 1
 
1.4%
48 1
 
1.4%
Other values (64) 64
86.5%
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 (%)
74 1
1.4%
73 1
1.4%
72 1
1.4%
71 1
1.4%
70 1
1.4%
69 1
1.4%
68 1
1.4%
67 1
1.4%
66 1
1.4%
65 1
1.4%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size724.0 B
복합유통게임제공업
74 

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 74
100.0%

Length

2023-12-11T03:42:41.177197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:42:41.376389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
복합유통게임제공업 74
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size724.0 B
03_05_04_P
74 

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 74
100.0%

Length

2023-12-11T03:42:41.586945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:42:41.755949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_05_04_p 74
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)10.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3434324.3
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size798.0 B
2023-12-11T03:42:41.901840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13412500
median3430000
Q33450000
95-th percentile3470000
Maximum3480000
Range70000
Interquartile range (IQR)37500

Descriptive statistics

Standard deviation21901.466
Coefficient of variation (CV)0.0063772269
Kurtosis-1.0039487
Mean3434324.3
Median Absolute Deviation (MAD)20000
Skewness0.53573138
Sum2.5414 × 108
Variance4.7967419 × 108
MonotonicityIncreasing
2023-12-11T03:42:42.098344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3410000 19
25.7%
3430000 15
20.3%
3420000 12
16.2%
3450000 11
14.9%
3470000 9
12.2%
3460000 4
 
5.4%
3440000 2
 
2.7%
3480000 2
 
2.7%
ValueCountFrequency (%)
3410000 19
25.7%
3420000 12
16.2%
3430000 15
20.3%
3440000 2
 
2.7%
3450000 11
14.9%
3460000 4
 
5.4%
3470000 9
12.2%
3480000 2
 
2.7%
ValueCountFrequency (%)
3480000 2
 
2.7%
3470000 9
12.2%
3460000 4
 
5.4%
3450000 11
14.9%
3440000 2
 
2.7%
3430000 15
20.3%
3420000 12
16.2%
3410000 19
25.7%

관리번호
Text

Distinct53
Distinct (%)71.6%
Missing0
Missing (%)0.0%
Memory size724.0 B
2023-12-11T03:42:42.486599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1480
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

Unique41 ?
Unique (%)55.4%

Sample

1st rowCDFF2241032018000001
2nd rowCDFF2241032017000003
3rd rowCDFF2241032017000002
4th rowCDFF2241032011000001
5th rowCDFF2241032017000001
ValueCountFrequency (%)
cdff2241032008000001 4
 
5.4%
cdff2241032011000001 3
 
4.1%
cdff2241032013000001 3
 
4.1%
cdff2241032009000001 3
 
4.1%
cdff2241032020000001 3
 
4.1%
cdff2241032002000001 3
 
4.1%
cdff2241032018000001 3
 
4.1%
cdff2241032016000001 3
 
4.1%
cdff2241032008000002 2
 
2.7%
cdff2241032018000002 2
 
2.7%
Other values (43) 45
60.8%
2023-12-11T03:42:43.133693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 525
35.5%
2 231
15.6%
1 216
14.6%
F 148
 
10.0%
3 84
 
5.7%
4 82
 
5.5%
C 74
 
5.0%
D 74
 
5.0%
8 17
 
1.1%
9 11
 
0.7%
Other values (3) 18
 
1.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1184
80.0%
Uppercase Letter 296
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 525
44.3%
2 231
19.5%
1 216
18.2%
3 84
 
7.1%
4 82
 
6.9%
8 17
 
1.4%
9 11
 
0.9%
7 7
 
0.6%
6 6
 
0.5%
5 5
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
F 148
50.0%
C 74
25.0%
D 74
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1184
80.0%
Latin 296
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 525
44.3%
2 231
19.5%
1 216
18.2%
3 84
 
7.1%
4 82
 
6.9%
8 17
 
1.4%
9 11
 
0.9%
7 7
 
0.6%
6 6
 
0.5%
5 5
 
0.4%
Latin
ValueCountFrequency (%)
F 148
50.0%
C 74
25.0%
D 74
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1480
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 525
35.5%
2 231
15.6%
1 216
14.6%
F 148
 
10.0%
3 84
 
5.7%
4 82
 
5.5%
C 74
 
5.0%
D 74
 
5.0%
8 17
 
1.1%
9 11
 
0.7%
Other values (3) 18
 
1.2%

인허가일자
Real number (ℝ)

Distinct58
Distinct (%)78.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18290316
Minimum11111111
Maximum20201102
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size798.0 B
2023-12-11T03:42:43.445280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11111111
5-th percentile11111111
Q120020515
median20090716
Q320167883
95-th percentile20200188
Maximum20201102
Range9089991
Interquartile range (IQR)147367.75

Descriptive statistics

Standard deviation3645028
Coefficient of variation (CV)0.19928731
Kurtosis0.28536145
Mean18290316
Median Absolute Deviation (MAD)74943
Skewness-1.5089393
Sum1.3534834 × 109
Variance1.3286229 × 1013
MonotonicityNot monotonic
2023-12-11T03:42:43.713530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11111111 15
 
20.3%
20161213 2
 
2.7%
20040427 2
 
2.7%
20180117 1
 
1.4%
20160323 1
 
1.4%
20160113 1
 
1.4%
20080317 1
 
1.4%
20050117 1
 
1.4%
20021218 1
 
1.4%
20020809 1
 
1.4%
Other values (48) 48
64.9%
ValueCountFrequency (%)
11111111 15
20.3%
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 (%)
20201102 1
1.4%
20200518 1
1.4%
20200513 1
1.4%
20200311 1
1.4%
20200121 1
1.4%
20190430 1
1.4%
20180803 1
1.4%
20180524 1
1.4%
20180501 1
1.4%
20180418 1
1.4%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing74
Missing (%)100.0%
Memory size798.0 B

영업상태구분코드
Categorical

Distinct3
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size724.0 B
3
49 
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 49
66.2%
1 24
32.4%
4 1
 
1.4%

Length

2023-12-11T03:42:43.939299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:42:44.123253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 49
66.2%
1 24
32.4%
4 1
 
1.4%

영업상태명
Categorical

Distinct3
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size724.0 B
폐업
49 
영업/정상
24 
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length2
Mean length3.1351351
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 49
66.2%
영업/정상 24
32.4%
취소/말소/만료/정지/중지 1
 
1.4%

Length

2023-12-11T03:42:44.325737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:42:44.524709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 49
66.2%
영업/정상 24
32.4%
취소/말소/만료/정지/중지 1
 
1.4%

상세영업상태코드
Categorical

Distinct3
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size724.0 B
3
49 
13
24 
35
 
1

Length

Max length2
Median length1
Mean length1.3378378
Min length1

Unique

Unique1 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
3 49
66.2%
13 24
32.4%
35 1
 
1.4%

Length

2023-12-11T03:42:44.729645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:42:44.954182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 49
66.2%
13 24
32.4%
35 1
 
1.4%

상세영업상태명
Categorical

Distinct3
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size724.0 B
폐업
49 
영업중
24 
직권말소
 
1

Length

Max length4
Median length2
Mean length2.3513514
Min length2

Unique

Unique1 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 49
66.2%
영업중 24
32.4%
직권말소 1
 
1.4%

Length

2023-12-11T03:42:45.163123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:42:45.364388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 49
66.2%
영업중 24
32.4%
직권말소 1
 
1.4%

폐업일자
Real number (ℝ)

MISSING 

Distinct34
Distinct (%)68.0%
Missing24
Missing (%)32.4%
Infinite0
Infinite (%)0.0%
Mean20100834
Minimum20041001
Maximum20210105
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size798.0 B
2023-12-11T03:42:45.580018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20041001
5-th percentile20041010
Q120041230
median20075812
Q320150290
95-th percentile20200514
Maximum20210105
Range169104
Interquartile range (IQR)109060.5

Descriptive statistics

Standard deviation61552.112
Coefficient of variation (CV)0.003062167
Kurtosis-1.4436169
Mean20100834
Median Absolute Deviation (MAD)34810.5
Skewness0.41794064
Sum1.0050417 × 109
Variance3.7886625 × 109
MonotonicityNot monotonic
2023-12-11T03:42:45.806232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
20041230 15
20.3%
20041001 3
 
4.1%
20080528 1
 
1.4%
20070831 1
 
1.4%
20180731 1
 
1.4%
20140626 1
 
1.4%
20071115 1
 
1.4%
20130403 1
 
1.4%
20151223 1
 
1.4%
20080508 1
 
1.4%
Other values (24) 24
32.4%
(Missing) 24
32.4%
ValueCountFrequency (%)
20041001 3
 
4.1%
20041022 1
 
1.4%
20041230 15
20.3%
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 (%)
20210105 1
1.4%
20201204 1
1.4%
20200604 1
1.4%
20200403 1
1.4%
20191202 1
1.4%
20190716 1
1.4%
20190701 1
1.4%
20190410 1
1.4%
20180910 1
1.4%
20180731 1
1.4%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing74
Missing (%)100.0%
Memory size798.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing74
Missing (%)100.0%
Memory size798.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing74
Missing (%)100.0%
Memory size798.0 B

소재지전화
Text

MISSING 

Distinct21
Distinct (%)100.0%
Missing53
Missing (%)71.6%
Memory size724.0 B
2023-12-11T03:42:46.141065image/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 row053-428-2255
ValueCountFrequency (%)
070-8224-0218 1
 
4.8%
053)959-6400 1
 
4.8%
582-2403 1
 
4.8%
585-0918 1
 
4.8%
524-3107 1
 
4.8%
588-0110 1
 
4.8%
053-781-6606 1
 
4.8%
751-8929 1
 
4.8%
053-325-2965 1
 
4.8%
053)213-3030 1
 
4.8%
Other values (11) 11
52.4%
2023-12-11T03:42:46.694332image/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 

Missing74
Missing (%)100.0%
Memory size798.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)92.6%
Missing47
Missing (%)63.5%
Infinite0
Infinite (%)0.0%
Mean704027.74
Minimum701802
Maximum706839
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size798.0 B
2023-12-11T03:42:46.932672image/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
2023-12-11T03:42:47.153344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
704936 2
 
2.7%
703851 2
 
2.7%
703802 1
 
1.4%
704921 1
 
1.4%
704940 1
 
1.4%
706839 1
 
1.4%
706803 1
 
1.4%
702851 1
 
1.4%
702831 1
 
1.4%
702819 1
 
1.4%
Other values (15) 15
 
20.3%
(Missing) 47
63.5%
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
2.7%
704921 1
1.4%
703851 2
2.7%
703846 1
1.4%
703845 1
1.4%
703840 1
1.4%

소재지전체주소
Text

MISSING 

Distinct73
Distinct (%)100.0%
Missing1
Missing (%)1.4%
Memory size724.0 B
2023-12-11T03:42:47.612699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length30
Mean length24.90411
Min length18

Characters and Unicode

Total characters1818
Distinct characters108
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

Unique73 ?
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 73
21.7%
중구 19
 
5.6%
서구 15
 
4.5%
북구 11
 
3.3%
동구 11
 
3.3%
달서구 9
 
2.7%
삼덕동1가 8
 
2.4%
지상2층 6
 
1.8%
공평동 5
 
1.5%
평리동 5
 
1.5%
Other values (132) 175
51.9%
2023-12-11T03:42:48.405240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
337
18.5%
구 148
 
8.1%
1 99
 
5.4%
지 91
 
5.0%
동 85
 
4.7%
대 82
 
4.5%
시 74
 
4.1%
광 73
 
4.0%
역 73
 
4.0%
번 67
 
3.7%
Other values (98) 689
37.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1024
56.3%
Decimal Number 369
 
20.3%
Space Separator 337
 
18.5%
Dash Punctuation 62
 
3.4%
Close Punctuation 11
 
0.6%
Open Punctuation 11
 
0.6%
Other Punctuation 3
 
0.2%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 148
14.5%
지 91
 
8.9%
동 85
 
8.3%
대 82
 
8.0%
시 74
 
7.2%
광 73
 
7.1%
역 73
 
7.1%
번 67
 
6.5%
층 29
 
2.8%
서 27
 
2.6%
Other values (82) 275
26.9%
Decimal Number
ValueCountFrequency (%)
1 99
26.8%
2 54
14.6%
3 45
12.2%
0 33
 
8.9%
4 26
 
7.0%
7 26
 
7.0%
5 25
 
6.8%
6 22
 
6.0%
8 21
 
5.7%
9 18
 
4.9%
Space Separator
ValueCountFrequency (%)
337
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 62
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 1024
56.3%
Common 794
43.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 148
14.5%
지 91
 
8.9%
동 85
 
8.3%
대 82
 
8.0%
시 74
 
7.2%
광 73
 
7.1%
역 73
 
7.1%
번 67
 
6.5%
층 29
 
2.8%
서 27
 
2.6%
Other values (82) 275
26.9%
Common
ValueCountFrequency (%)
337
42.4%
1 99
 
12.5%
- 62
 
7.8%
2 54
 
6.8%
3 45
 
5.7%
0 33
 
4.2%
4 26
 
3.3%
7 26
 
3.3%
5 25
 
3.1%
6 22
 
2.8%
Other values (6) 65
 
8.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1024
56.3%
ASCII 794
43.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
337
42.4%
1 99
 
12.5%
- 62
 
7.8%
2 54
 
6.8%
3 45
 
5.7%
0 33
 
4.2%
4 26
 
3.3%
7 26
 
3.3%
5 25
 
3.1%
6 22
 
2.8%
Other values (6) 65
 
8.2%
Hangul
ValueCountFrequency (%)
구 148
14.5%
지 91
 
8.9%
동 85
 
8.3%
대 82
 
8.0%
시 74
 
7.2%
광 73
 
7.1%
역 73
 
7.1%
번 67
 
6.5%
층 29
 
2.8%
서 27
 
2.6%
Other values (82) 275
26.9%

도로명전체주소
Text

MISSING 

Distinct73
Distinct (%)100.0%
Missing1
Missing (%)1.4%
Memory size724.0 B
2023-12-11T03:42:49.006383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length35
Mean length29.027397
Min length22

Characters and Unicode

Total characters2119
Distinct characters129
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

Unique73 ?
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 73
 
17.4%
중구 19
 
4.5%
서구 14
 
3.3%
동구 12
 
2.9%
북구 11
 
2.6%
달서구 9
 
2.1%
지하1층 8
 
1.9%
삼덕동1가 6
 
1.4%
평리동 5
 
1.2%
지상2층 5
 
1.2%
Other values (190) 257
61.3%
2023-12-11T03:42:49.916139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
377
17.8%
구 154
 
7.3%
동 111
 
5.2%
대 99
 
4.7%
1 83
 
3.9%
( 79
 
3.7%
) 79
 
3.7%
로 76
 
3.6%
역 74
 
3.5%
광 73
 
3.4%
Other values (119) 914
43.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1183
55.8%
Space Separator 377
 
17.8%
Decimal Number 327
 
15.4%
Open Punctuation 79
 
3.7%
Close Punctuation 79
 
3.7%
Other Punctuation 59
 
2.8%
Dash Punctuation 14
 
0.7%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 154
 
13.0%
동 111
 
9.4%
대 99
 
8.4%
로 76
 
6.4%
역 74
 
6.3%
광 73
 
6.2%
시 73
 
6.2%
층 45
 
3.8%
서 35
 
3.0%
지 29
 
2.5%
Other values (103) 414
35.0%
Decimal Number
ValueCountFrequency (%)
1 83
25.4%
2 65
19.9%
3 43
13.1%
4 31
 
9.5%
5 24
 
7.3%
0 18
 
5.5%
7 18
 
5.5%
6 17
 
5.2%
8 15
 
4.6%
9 13
 
4.0%
Space Separator
ValueCountFrequency (%)
377
100.0%
Open Punctuation
ValueCountFrequency (%)
( 79
100.0%
Close Punctuation
ValueCountFrequency (%)
) 79
100.0%
Other Punctuation
ValueCountFrequency (%)
, 59
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1183
55.8%
Common 936
44.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 154
 
13.0%
동 111
 
9.4%
대 99
 
8.4%
로 76
 
6.4%
역 74
 
6.3%
광 73
 
6.2%
시 73
 
6.2%
층 45
 
3.8%
서 35
 
3.0%
지 29
 
2.5%
Other values (103) 414
35.0%
Common
ValueCountFrequency (%)
377
40.3%
1 83
 
8.9%
( 79
 
8.4%
) 79
 
8.4%
2 65
 
6.9%
, 59
 
6.3%
3 43
 
4.6%
4 31
 
3.3%
5 24
 
2.6%
0 18
 
1.9%
Other values (6) 78
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1183
55.8%
ASCII 936
44.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
377
40.3%
1 83
 
8.9%
( 79
 
8.4%
) 79
 
8.4%
2 65
 
6.9%
, 59
 
6.3%
3 43
 
4.6%
4 31
 
3.3%
5 24
 
2.6%
0 18
 
1.9%
Other values (6) 78
 
8.3%
Hangul
ValueCountFrequency (%)
구 154
 
13.0%
동 111
 
9.4%
대 99
 
8.4%
로 76
 
6.4%
역 74
 
6.3%
광 73
 
6.2%
시 73
 
6.2%
층 45
 
3.8%
서 35
 
3.0%
지 29
 
2.5%
Other values (103) 414
35.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)76.3%
Missing36
Missing (%)48.6%
Infinite0
Infinite (%)0.0%
Mean93953.474
Minimum41026
Maximum704921
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size798.0 B
2023-12-11T03:42:50.154276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41026
5-th percentile41068.7
Q141423
median41937.5
Q341942.75
95-th percentile701972.5
Maximum704921
Range663895
Interquartile range (IQR)519.75

Descriptive statistics

Standard deviation180764.56
Coefficient of variation (CV)1.9239795
Kurtosis9.0545699
Mean93953.474
Median Absolute Deviation (MAD)513.5
Skewness3.2526936
Sum3570232
Variance3.2675827 × 1010
MonotonicityNot monotonic
2023-12-11T03:42:50.345661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
41942 4
 
5.4%
41937 3
 
4.1%
41941 3
 
4.1%
41423 2
 
2.7%
41424 2
 
2.7%
41955 1
 
1.4%
42498 1
 
1.4%
42925 1
 
1.4%
42737 1
 
1.4%
42645 1
 
1.4%
Other values (19) 19
25.7%
(Missing) 36
48.6%
ValueCountFrequency (%)
41026 1
1.4%
41067 1
1.4%
41069 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
2.7%
ValueCountFrequency (%)
704921 1
1.4%
702865 1
1.4%
701815 1
1.4%
42925 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%

사업장명
Text

Distinct69
Distinct (%)93.2%
Missing0
Missing (%)0.0%
Memory size724.0 B
2023-12-11T03:42:50.778462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length13
Mean length6.4594595
Min length2

Characters and Unicode

Total characters478
Distinct characters159
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

Unique64 ?
Unique (%)86.5%

Sample

1st row쿵스
2nd row엔터플레이
3rd row브이알플러스 대구동성로점
4th row게임천국
5th row중독게임센터
ValueCountFrequency (%)
사랑만들기 2
 
2.2%
올레pc 2
 
2.2%
오타쿠용산점 2
 
2.2%
짱오락실 2
 
2.2%
멀티방 2
 
2.2%
먹방pc 2
 
2.2%
아이존팝 2
 
2.2%
대구동성로점 2
 
2.2%
먹방pc방 1
 
1.1%
복현점 1
 
1.1%
Other values (71) 71
79.8%
2023-12-11T03:42:51.491896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 18
 
3.8%
15
 
3.1%
방 14
 
2.9%
스 13
 
2.7%
P 13
 
2.7%
C 11
 
2.3%
티 11
 
2.3%
멀 10
 
2.1%
성 10
 
2.1%
오 10
 
2.1%
Other values (149) 353
73.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 408
85.4%
Uppercase Letter 38
 
7.9%
Space Separator 15
 
3.1%
Close Punctuation 4
 
0.8%
Open Punctuation 4
 
0.8%
Lowercase Letter 4
 
0.8%
Other Punctuation 3
 
0.6%
Decimal Number 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 18
 
4.4%
방 14
 
3.4%
스 13
 
3.2%
티 11
 
2.7%
멀 10
 
2.5%
성 10
 
2.5%
오 10
 
2.5%
임 9
 
2.2%
점 9
 
2.2%
게 8
 
2.0%
Other values (128) 296
72.5%
Uppercase Letter
ValueCountFrequency (%)
P 13
34.2%
C 11
28.9%
V 3
 
7.9%
M 2
 
5.3%
E 2
 
5.3%
D 2
 
5.3%
R 2
 
5.3%
B 1
 
2.6%
F 1
 
2.6%
G 1
 
2.6%
Lowercase Letter
ValueCountFrequency (%)
i 1
25.0%
n 1
25.0%
u 1
25.0%
t 1
25.0%
Other Punctuation
ValueCountFrequency (%)
& 2
66.7%
, 1
33.3%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
2 1
50.0%
Space Separator
ValueCountFrequency (%)
15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 408
85.4%
Latin 42
 
8.8%
Common 28
 
5.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 18
 
4.4%
방 14
 
3.4%
스 13
 
3.2%
티 11
 
2.7%
멀 10
 
2.5%
성 10
 
2.5%
오 10
 
2.5%
임 9
 
2.2%
점 9
 
2.2%
게 8
 
2.0%
Other values (128) 296
72.5%
Latin
ValueCountFrequency (%)
P 13
31.0%
C 11
26.2%
V 3
 
7.1%
M 2
 
4.8%
E 2
 
4.8%
D 2
 
4.8%
R 2
 
4.8%
B 1
 
2.4%
i 1
 
2.4%
n 1
 
2.4%
Other values (4) 4
 
9.5%
Common
ValueCountFrequency (%)
15
53.6%
) 4
 
14.3%
( 4
 
14.3%
& 2
 
7.1%
, 1
 
3.6%
1 1
 
3.6%
2 1
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 408
85.4%
ASCII 70
 
14.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 18
 
4.4%
방 14
 
3.4%
스 13
 
3.2%
티 11
 
2.7%
멀 10
 
2.5%
성 10
 
2.5%
오 10
 
2.5%
임 9
 
2.2%
점 9
 
2.2%
게 8
 
2.0%
Other values (128) 296
72.5%
ASCII
ValueCountFrequency (%)
15
21.4%
P 13
18.6%
C 11
15.7%
) 4
 
5.7%
( 4
 
5.7%
V 3
 
4.3%
M 2
 
2.9%
& 2
 
2.9%
E 2
 
2.9%
D 2
 
2.9%
Other values (11) 12
17.1%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct74
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0130105 × 1013
Minimum2.0041002 × 1013
Maximum2.021031 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size798.0 B
2023-12-11T03:42:51.748191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0041002 × 1013
5-th percentile2.004123 × 1013
Q12.0050208 × 1013
median2.0150264 × 1013
Q32.0190825 × 1013
95-th percentile2.020121 × 1013
Maximum2.021031 × 1013
Range1.6930804 × 1011
Interquartile range (IQR)1.4061747 × 1011

Descriptive statistics

Standard deviation6.573251 × 1010
Coefficient of variation (CV)0.0032653834
Kurtosis-1.6093694
Mean2.0130105 × 1013
Median Absolute Deviation (MAD)5.0197035 × 1010
Skewness-0.31678104
Sum1.4896277 × 1015
Variance4.3207628 × 1021
MonotonicityNot monotonic
2023-12-11T03:42:52.021136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20190410105218 1
 
1.4%
20140626144122 1
 
1.4%
20171230110117 1
 
1.4%
20200327112040 1
 
1.4%
20200131132832 1
 
1.4%
20070831165702 1
 
1.4%
20050509104241 1
 
1.4%
20080528144316 1
 
1.4%
20200604134425 1
 
1.4%
20180927114520 1
 
1.4%
Other values (64) 64
86.5%
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 (%)
20210310144241 1
1.4%
20210125215845 1
1.4%
20210105180059 1
1.4%
20201221103755 1
1.4%
20201204173813 1
1.4%
20201201110104 1
1.4%
20200925173326 1
1.4%
20200604134425 1
1.4%
20200526213014 1
1.4%
20200513152647 1
1.4%

데이터갱신구분
Categorical

Distinct2
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size724.0 B
I
48 
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 rowU

Common Values

ValueCountFrequency (%)
I 48
64.9%
U 26
35.1%

Length

2023-12-11T03:42:52.252455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:42:52.428346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 48
64.9%
u 26
35.1%

데이터갱신일자
Categorical

Distinct28
Distinct (%)37.8%
Missing0
Missing (%)0.0%
Memory size724.0 B
2018-08-31 23:59:59.0
46 
2020-03-29 02:40:00.0
 
2
2019-07-18 02:40:00.0
 
1
2019-07-03 02:40:00.0
 
1
2020-12-06 02:40:00.0
 
1
Other values (23)
23 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique26 ?
Unique (%)35.1%

Sample

1st row2019-04-12 02:40:00.0
2nd row2018-09-10 23:59:59.0
3rd row2019-07-18 02:40:00.0
4th row2018-08-31 23:59:59.0
5th row2019-07-03 02:40:00.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 46
62.2%
2020-03-29 02:40:00.0 2
 
2.7%
2019-07-18 02:40:00.0 1
 
1.4%
2019-07-03 02:40:00.0 1
 
1.4%
2020-12-06 02:40:00.0 1
 
1.4%
2020-04-05 02:40:00.0 1
 
1.4%
2021-01-07 02:40:00.0 1
 
1.4%
2020-12-03 02:40:00.0 1
 
1.4%
2020-12-23 02:40:00.0 1
 
1.4%
2020-05-15 00:23:19.0 1
 
1.4%
Other values (18) 18
 
24.3%

Length

2023-12-11T03:42:52.615992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
23:59:59.0 49
33.1%
2018-08-31 46
31.1%
02:40:00.0 22
14.9%
2020-03-29 2
 
1.4%
2020-02-02 1
 
0.7%
2021-01-27 1
 
0.7%
2019-01-20 1
 
0.7%
2020-05-28 1
 
0.7%
2018-09-27 1
 
0.7%
2020-06-06 1
 
0.7%
Other values (23) 23
15.5%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing74
Missing (%)100.0%
Memory size798.0 B

좌표정보(X)
Real number (ℝ)

Distinct73
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean343336.99
Minimum332237.18
Maximum356353.92
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size798.0 B
2023-12-11T03:42:52.844557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum332237.18
5-th percentile334819.58
Q1340589.5
median343960.05
Q3345315.72
95-th percentile353747.56
Maximum356353.92
Range24116.737
Interquartile range (IQR)4726.2213

Descriptive statistics

Standard deviation4908.1886
Coefficient of variation (CV)0.014295542
Kurtosis0.91472073
Mean343336.99
Median Absolute Deviation (MAD)2914.6928
Skewness0.51932139
Sum25406937
Variance24090315
MonotonicityNot monotonic
2023-12-11T03:42:53.119356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
345339.559469 2
 
2.7%
344203.891808 1
 
1.4%
339760.145054 1
 
1.4%
345244.201069 1
 
1.4%
341036.277072 1
 
1.4%
343510.573192 1
 
1.4%
345758.975343 1
 
1.4%
341054.430533 1
 
1.4%
340567.388493 1
 
1.4%
341595.800758 1
 
1.4%
Other values (63) 63
85.1%
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%
335186.778586 1
1.4%
335921.026634 1
1.4%
337858.032263 1
1.4%
338231.087541 1
1.4%
338880.092588 1
1.4%
ValueCountFrequency (%)
356353.91544 1
1.4%
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%

좌표정보(Y)
Real number (ℝ)

Distinct73
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean264927.22
Minimum259196.37
Maximum272558.59
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size798.0 B
2023-12-11T03:42:53.403177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum259196.37
5-th percentile260658.14
Q1263729.02
median264345.81
Q3265927.23
95-th percentile271806.28
Maximum272558.59
Range13362.214
Interquartile range (IQR)2198.2107

Descriptive statistics

Standard deviation2734.0877
Coefficient of variation (CV)0.010320146
Kurtosis2.1697536
Mean264927.22
Median Absolute Deviation (MAD)1080.7342
Skewness1.0694123
Sum19604614
Variance7475235.3
MonotonicityNot monotonic
2023-12-11T03:42:53.667006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
266290.669591 2
 
2.7%
264147.064731 1
 
1.4%
269625.166995 1
 
1.4%
267055.079261 1
 
1.4%
272406.42694 1
 
1.4%
266134.259921 1
 
1.4%
267509.761053 1
 
1.4%
272539.695671 1
 
1.4%
260518.743056 1
 
1.4%
260624.346943 1
 
1.4%
Other values (63) 63
85.1%
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 size724.0 B
복합유통게임제공업
74 

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 74
100.0%

Length

2023-12-11T03:42:53.909509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:42:54.074062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
복합유통게임제공업 74
100.0%

문화사업자구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size724.0 B
유통관련업
74 

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 74
100.0%

Length

2023-12-11T03:42:54.268899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:42:54.448820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 74
100.0%

총층수
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)22.0%
Missing24
Missing (%)32.4%
Infinite0
Infinite (%)0.0%
Mean5.82
Minimum2
Maximum16
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size798.0 B
2023-12-11T03:42:54.593025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2.45
Q14
median6
Q36.75
95-th percentile9.55
Maximum16
Range14
Interquartile range (IQR)2.75

Descriptive statistics

Standard deviation2.5848065
Coefficient of variation (CV)0.44412482
Kurtosis4.5742377
Mean5.82
Median Absolute Deviation (MAD)1
Skewness1.5880499
Sum291
Variance6.6812245
MonotonicityNot monotonic
2023-12-11T03:42:55.304575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
6 14
18.9%
5 9
 
12.2%
4 6
 
8.1%
3 5
 
6.8%
8 4
 
5.4%
7 4
 
5.4%
2 3
 
4.1%
9 2
 
2.7%
16 1
 
1.4%
13 1
 
1.4%
(Missing) 24
32.4%
ValueCountFrequency (%)
2 3
 
4.1%
3 5
 
6.8%
4 6
8.1%
5 9
12.2%
6 14
18.9%
7 4
 
5.4%
8 4
 
5.4%
9 2
 
2.7%
10 1
 
1.4%
13 1
 
1.4%
ValueCountFrequency (%)
16 1
 
1.4%
13 1
 
1.4%
10 1
 
1.4%
9 2
 
2.7%
8 4
 
5.4%
7 4
 
5.4%
6 14
18.9%
5 9
12.2%
4 6
8.1%
3 5
 
6.8%

주변환경명
Categorical

Distinct6
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Memory size724.0 B
<NA>
33 
기타
24 
유흥업소밀집지역
8 
학교정화(상대)
5 
아파트지역
 
3

Length

Max length8
Median length5
Mean length4.1081081
Min length2

Unique

Unique1 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 33
44.6%
기타 24
32.4%
유흥업소밀집지역 8
 
10.8%
학교정화(상대) 5
 
6.8%
아파트지역 3
 
4.1%
주택가주변 1
 
1.4%

Length

2023-12-11T03:42:55.594032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:42:55.818312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 33
44.6%
기타 24
32.4%
유흥업소밀집지역 8
 
10.8%
학교정화(상대 5
 
6.8%
아파트지역 3
 
4.1%
주택가주변 1
 
1.4%

제작취급품목내용
Text

MISSING 

Distinct19
Distinct (%)57.6%
Missing41
Missing (%)55.4%
Memory size724.0 B
2023-12-11T03:42:56.111038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length21
Mean length11.818182
Min length2

Characters and Unicode

Total characters390
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 (%)42.4%

Sample

1st row노래연습장업, 청소년게임제공업
2nd row청소년게임제공업, 휴게음식점
3rd row청소년게임제공업, 노래연습장업
4th row노래
5th row노래연습장,영화감상,인터넷컴퓨터게임시설제공업
ValueCountFrequency (%)
노래연습장업 12
27.3%
청소년게임제공업 9
20.5%
휴게음식점 6
13.6%
1개의기기에서게임.노래.영화감상등을제공 2
 
4.5%
노래연습장 2
 
4.5%
인터넷컴퓨터게임시설제공업 1
 
2.3%
청소년 1
 
2.3%
식품접객업(휴게음식점 1
 
2.3%
휴게음식점(앤유피씨 1
 
2.3%
pc방 1
 
2.3%
Other values (8) 8
18.2%
2023-12-11T03:42:56.679026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
업 30
 
7.7%
게 26
 
6.7%
노 22
 
5.6%
래 22
 
5.6%
장 19
 
4.9%
임 18
 
4.6%
연 18
 
4.6%
습 18
 
4.6%
공 17
 
4.4%
제 17
 
4.4%
Other values (44) 183
46.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 349
89.5%
Other Punctuation 20
 
5.1%
Space Separator 11
 
2.8%
Decimal Number 2
 
0.5%
Close Punctuation 2
 
0.5%
Open Punctuation 2
 
0.5%
Math Symbol 2
 
0.5%
Uppercase Letter 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 30
 
8.6%
게 26
 
7.4%
노 22
 
6.3%
래 22
 
6.3%
장 19
 
5.4%
임 18
 
5.2%
연 18
 
5.2%
습 18
 
5.2%
공 17
 
4.9%
제 17
 
4.9%
Other values (35) 142
40.7%
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%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 349
89.5%
Common 39
 
10.0%
Latin 2
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 30
 
8.6%
게 26
 
7.4%
노 22
 
6.3%
래 22
 
6.3%
장 19
 
5.4%
임 18
 
5.2%
연 18
 
5.2%
습 18
 
5.2%
공 17
 
4.9%
제 17
 
4.9%
Other values (35) 142
40.7%
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 349
89.5%
ASCII 41
 
10.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
업 30
 
8.6%
게 26
 
7.4%
노 22
 
6.3%
래 22
 
6.3%
장 19
 
5.4%
임 18
 
5.2%
연 18
 
5.2%
습 18
 
5.2%
공 17
 
4.9%
제 17
 
4.9%
Other values (35) 142
40.7%
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 

Distinct55
Distinct (%)98.2%
Missing18
Missing (%)24.3%
Infinite0
Infinite (%)0.0%
Mean273.45661
Minimum48.71
Maximum775.58
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size798.0 B
2023-12-11T03:42:57.005042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum48.71
5-th percentile111.84
Q1158.865
median237.945
Q3327.2625
95-th percentile590.505
Maximum775.58
Range726.87
Interquartile range (IQR)168.3975

Descriptive statistics

Standard deviation155.60835
Coefficient of variation (CV)0.5690422
Kurtosis2.1639484
Mean273.45661
Median Absolute Deviation (MAD)82.085
Skewness1.4131082
Sum15313.57
Variance24213.959
MonotonicityNot monotonic
2023-12-11T03:42:57.335589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
111.84 2
 
2.7%
303.28 1
 
1.4%
207.88 1
 
1.4%
191.97 1
 
1.4%
152.5 1
 
1.4%
584.19 1
 
1.4%
303.75 1
 
1.4%
383.94 1
 
1.4%
178.56 1
 
1.4%
425.59 1
 
1.4%
Other values (45) 45
60.8%
(Missing) 18
 
24.3%
ValueCountFrequency (%)
48.71 1
1.4%
92.25 1
1.4%
111.84 2
2.7%
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%
148.4 1
1.4%
ValueCountFrequency (%)
775.58 1
1.4%
753.22 1
1.4%
609.45 1
1.4%
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%

지상층수
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)21.3%
Missing27
Missing (%)36.5%
Infinite0
Infinite (%)0.0%
Mean4.6382979
Minimum1
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size798.0 B
2023-12-11T03:42:57.539105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median4
Q35
95-th percentile8.4
Maximum35
Range34
Interquartile range (IQR)3

Descriptive statistics

Standard deviation4.9713332
Coefficient of variation (CV)1.0718012
Kurtosis31.424856
Mean4.6382979
Median Absolute Deviation (MAD)1
Skewness5.2127051
Sum218
Variance24.714154
MonotonicityNot monotonic
2023-12-11T03:42:57.726556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
4 13
17.6%
2 12
16.2%
3 7
 
9.5%
6 5
 
6.8%
5 4
 
5.4%
7 2
 
2.7%
12 1
 
1.4%
35 1
 
1.4%
1 1
 
1.4%
9 1
 
1.4%
(Missing) 27
36.5%
ValueCountFrequency (%)
1 1
 
1.4%
2 12
16.2%
3 7
9.5%
4 13
17.6%
5 4
 
5.4%
6 5
 
6.8%
7 2
 
2.7%
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 2
 
2.7%
6 5
 
6.8%
5 4
 
5.4%
4 13
17.6%
3 7
9.5%
2 12
16.2%
1 1
 
1.4%

지하층수
Categorical

Distinct2
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size724.0 B
<NA>
56 
1
18 

Length

Max length4
Median length4
Mean length3.2702703
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 56
75.7%
1 18
 
24.3%

Length

2023-12-11T03:42:58.058951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:42:58.241175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 56
75.7%
1 18
 
24.3%

건물용도명
Categorical

Distinct5
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Memory size724.0 B
근린생활시설
39 
<NA>
28 
판매시설
4 
기타
 
2
유통시설
 
1

Length

Max length6
Median length6
Mean length5
Min length2

Unique

Unique1 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
근린생활시설 39
52.7%
<NA> 28
37.8%
판매시설 4
 
5.4%
기타 2
 
2.7%
유통시설 1
 
1.4%

Length

2023-12-11T03:42:58.453140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:42:58.670732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
근린생활시설 39
52.7%
na 28
37.8%
판매시설 4
 
5.4%
기타 2
 
2.7%
유통시설 1
 
1.4%

통로너비
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing74
Missing (%)100.0%
Memory size798.0 B

조명시설조도
Categorical

IMBALANCE 

Distinct5
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Memory size724.0 B
<NA>
59 
40
10 
60
 
3
120
 
1
100
 
1

Length

Max length4
Median length4
Mean length3.6216216
Min length2

Unique

Unique2 ?
Unique (%)2.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 59
79.7%
40 10
 
13.5%
60 3
 
4.1%
120 1
 
1.4%
100 1
 
1.4%

Length

2023-12-11T03:42:58.965354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:42:59.185525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 59
79.7%
40 10
 
13.5%
60 3
 
4.1%
120 1
 
1.4%
100 1
 
1.4%

노래방실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing74
Missing (%)100.0%
Memory size798.0 B

청소년실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing74
Missing (%)100.0%
Memory size798.0 B

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing74
Missing (%)100.0%
Memory size798.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing74
Missing (%)100.0%
Memory size798.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing74
Missing (%)100.0%
Memory size798.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing74
Missing (%)100.0%
Memory size798.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing74
Missing (%)100.0%
Memory size798.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing74
Missing (%)100.0%
Memory size798.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing74
Missing (%)100.0%
Memory size798.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing74
Missing (%)100.0%
Memory size798.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing74
Missing (%)100.0%
Memory size798.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing74
Missing (%)100.0%
Memory size798.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing74
Missing (%)100.0%
Memory size798.0 B

총게임기수
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)95.7%
Missing51
Missing (%)68.9%
Infinite0
Infinite (%)0.0%
Mean64.782609
Minimum7
Maximum195
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size798.0 B
2023-12-11T03:42:59.412392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile10
Q119
median37
Q3107.5
95-th percentile174.9
Maximum195
Range188
Interquartile range (IQR)88.5

Descriptive statistics

Standard deviation57.388593
Coefficient of variation (CV)0.88586419
Kurtosis-0.3013485
Mean64.782609
Median Absolute Deviation (MAD)27
Skewness0.8973988
Sum1490
Variance3293.4506
MonotonicityNot monotonic
2023-12-11T03:42:59.639069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
10 2
 
2.7%
129 1
 
1.4%
116 1
 
1.4%
16 1
 
1.4%
25 1
 
1.4%
91 1
 
1.4%
103 1
 
1.4%
104 1
 
1.4%
111 1
 
1.4%
12 1
 
1.4%
Other values (12) 12
 
16.2%
(Missing) 51
68.9%
ValueCountFrequency (%)
7 1
1.4%
10 2
2.7%
12 1
1.4%
16 1
1.4%
17 1
1.4%
21 1
1.4%
25 1
1.4%
27 1
1.4%
29 1
1.4%
31 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 (%)68.4%
Missing55
Missing (%)74.3%
Memory size724.0 B
2023-12-11T03:42:59.956335image/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 row청소년게임제공업, 인터넷컴퓨터게임시설제공업
2nd row노래연습장업
3rd row노래,영화감상,인터넷컴퓨터게임시설제공
4th row청소년게임장업
5th row노래연습장
ValueCountFrequency (%)
노래연습장 5
23.8%
노래연습장업 4
19.0%
청소년게임제공업 1
 
4.8%
인터넷컴퓨터게임시설제공업 1
 
4.8%
노래,영화감상,인터넷컴퓨터게임시설제공 1
 
4.8%
청소년게임장업 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%
2023-12-11T03:43:00.561915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
노 11
 
6.3%
래 11
 
6.3%
장 11
 
6.3%
업 11
 
6.3%
연 9
 
5.2%
습 9
 
5.2%
게 9
 
5.2%
임 8
 
4.6%
터 7
 
4.0%
제 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%
Decimal Number 1
 
0.6%
Close Punctuation 1
 
0.6%
Open Punctuation 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
노 11
 
6.9%
래 11
 
6.9%
장 11
 
6.9%
업 11
 
6.9%
연 9
 
5.7%
습 9
 
5.7%
게 9
 
5.7%
임 8
 
5.0%
터 7
 
4.4%
제 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%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 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 (%)
노 11
 
6.9%
래 11
 
6.9%
장 11
 
6.9%
업 11
 
6.9%
연 9
 
5.7%
습 9
 
5.7%
게 9
 
5.7%
임 8
 
5.0%
터 7
 
4.4%
제 6
 
3.8%
Other values (33) 67
42.1%
Common
ValueCountFrequency (%)
, 4
30.8%
. 2
15.4%
+ 2
15.4%
2
15.4%
1 1
 
7.7%
) 1
 
7.7%
( 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 (%)
노 11
 
6.9%
래 11
 
6.9%
장 11
 
6.9%
업 11
 
6.9%
연 9
 
5.7%
습 9
 
5.7%
게 9
 
5.7%
임 8
 
5.0%
터 7
 
4.4%
제 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 1
 
6.7%
) 1
 
6.7%
C 1
 
6.7%
( 1
 
6.7%

제공게임물명
Categorical

Distinct3
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size724.0 B
<NA>
37 
전체이용가
36 
전체이용가 및 청소년이용불가
 
1

Length

Max length15
Median length10
Mean length4.6351351
Min length4

Unique

Unique1 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 37
50.0%
전체이용가 36
48.6%
전체이용가 및 청소년이용불가 1
 
1.4%

Length

2023-12-11T03:43:00.822670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:43:01.016327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 37
48.7%
전체이용가 37
48.7%
및 1
 
1.3%
청소년이용불가 1
 
1.3%

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing74
Missing (%)100.0%
Memory size798.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing74
Missing (%)100.0%
Memory size798.0 B

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing74
Missing (%)100.0%
Memory size798.0 B

지역구분명
Categorical

Distinct9
Distinct (%)12.2%
Missing0
Missing (%)0.0%
Memory size724.0 B
<NA>
22 
중심상업지역
20 
일반상업지역
11 
일반주거지역
9 
상업지역
4 
Other values (4)
8 

Length

Max length6
Median length6
Mean length5.2297297
Min length4

Unique

Unique2 ?
Unique (%)2.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 22
29.7%
중심상업지역 20
27.0%
일반상업지역 11
14.9%
일반주거지역 9
12.2%
상업지역 4
 
5.4%
근린상업지역 3
 
4.1%
준주거지역 3
 
4.1%
주거지역 1
 
1.4%
일반공업지역 1
 
1.4%

Length

2023-12-11T03:43:01.227662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:43:01.495766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
29.7%
중심상업지역 20
27.0%
일반상업지역 11
14.9%
일반주거지역 9
12.2%
상업지역 4
 
5.4%
근린상업지역 3
 
4.1%
준주거지역 3
 
4.1%
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_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
번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
6465복합유통게임제공업03_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
6566복합유통게임제공업03_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
6667복합유통게임제공업03_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
6768복합유통게임제공업03_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>
6869복합유통게임제공업03_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
6970복합유통게임제공업03_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>
7071복합유통게임제공업03_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
7172복합유통게임제공업03_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
7273복합유통게임제공업03_05_04_P3480000CDFF224103202000000120200311<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 다사읍 서재리 139-1번지대구광역시 달성군 다사읍 서재로 144, 1층42925가족오락실 동전노래연습장20200409164210U2020-04-11 02:40:00.0<NA>335186.778586265044.867747복합유통게임제공업유통관련업2<NA>노래연습장업+청소년게임제공업148.42<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>16<NA>전체이용가<NA><NA><NA><NA>
7374복합유통게임제공업03_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