Overview

Dataset statistics

Number of variables59
Number of observations86
Missing cells2135
Missing cells (%)42.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory43.3 KiB
Average record size in memory515.5 B

Variable types

Numeric12
Categorical20
Text6
Unsupported21

Dataset

Description22년02월_6270000_대구광역시_03_05_01_P_게임물배급업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000092605&dataSetDetailId=DDI_0000092620&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
문화체육업종명 has constant value ""Constant
문화사업자구분명 has constant value ""Constant
인허가취소일자 is highly imbalanced (88.5%)Imbalance
데이터갱신일자 is highly imbalanced (59.3%)Imbalance
주변환경명 is highly imbalanced (51.2%)Imbalance
지하층수 is highly imbalanced (57.6%)Imbalance
통로너비 is highly imbalanced (72.9%)Imbalance
조명시설조도 is highly imbalanced (72.9%)Imbalance
노래방실수 is highly imbalanced (72.9%)Imbalance
청소년실수 is highly imbalanced (72.9%)Imbalance
총게임기수 is highly imbalanced (72.9%)Imbalance
폐업일자 has 62 (72.1%) missing valuesMissing
휴업시작일자 has 86 (100.0%) missing valuesMissing
휴업종료일자 has 86 (100.0%) missing valuesMissing
재개업일자 has 86 (100.0%) missing valuesMissing
소재지전화 has 57 (66.3%) missing valuesMissing
소재지면적 has 86 (100.0%) missing valuesMissing
소재지우편번호 has 73 (84.9%) missing valuesMissing
도로명전체주소 has 1 (1.2%) missing valuesMissing
도로명우편번호 has 27 (31.4%) missing valuesMissing
업태구분명 has 86 (100.0%) missing valuesMissing
좌표정보(X) has 2 (2.3%) missing valuesMissing
좌표정보(Y) has 2 (2.3%) missing valuesMissing
총층수 has 49 (57.0%) missing valuesMissing
시설면적 has 9 (10.5%) missing valuesMissing
지상층수 has 47 (54.7%) missing valuesMissing
비상계단여부 has 86 (100.0%) missing valuesMissing
비상구여부 has 86 (100.0%) missing valuesMissing
자동환기여부 has 86 (100.0%) missing valuesMissing
청소년실여부 has 86 (100.0%) missing valuesMissing
특수조명여부 has 86 (100.0%) missing valuesMissing
방음시설여부 has 86 (100.0%) missing valuesMissing
비디오재생기명 has 86 (100.0%) missing valuesMissing
조명시설유무 has 86 (100.0%) missing valuesMissing
음향시설여부 has 86 (100.0%) missing valuesMissing
편의시설여부 has 86 (100.0%) missing valuesMissing
소방시설여부 has 86 (100.0%) missing valuesMissing
기존게임업외업종명 has 86 (100.0%) missing valuesMissing
제공게임물명 has 86 (100.0%) missing valuesMissing
공연장형태구분명 has 86 (100.0%) missing valuesMissing
품목명 has 86 (100.0%) missing valuesMissing
최초등록시점 has 86 (100.0%) missing valuesMissing
번호 has unique valuesUnique
최종수정시점 has unique valuesUnique
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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
기존게임업외업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제공게임물명 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
총층수 has 2 (2.3%) zerosZeros
시설면적 has 1 (1.2%) zerosZeros
지상층수 has 2 (2.3%) zerosZeros

Reproduction

Analysis started2023-12-10 20:15:14.794682
Analysis finished2023-12-10 20:15:15.733713
Duration0.94 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct86
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43.5
Minimum1
Maximum86
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size906.0 B
2023-12-11T05:15:15.846200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.25
Q122.25
median43.5
Q364.75
95-th percentile81.75
Maximum86
Range85
Interquartile range (IQR)42.5

Descriptive statistics

Standard deviation24.969982
Coefficient of variation (CV)0.57402257
Kurtosis-1.2
Mean43.5
Median Absolute Deviation (MAD)21.5
Skewness0
Sum3741
Variance623.5
MonotonicityStrictly increasing
2023-12-11T05:15:16.033804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.2%
56 1
 
1.2%
64 1
 
1.2%
63 1
 
1.2%
62 1
 
1.2%
61 1
 
1.2%
60 1
 
1.2%
59 1
 
1.2%
58 1
 
1.2%
57 1
 
1.2%
Other values (76) 76
88.4%
ValueCountFrequency (%)
1 1
1.2%
2 1
1.2%
3 1
1.2%
4 1
1.2%
5 1
1.2%
6 1
1.2%
7 1
1.2%
8 1
1.2%
9 1
1.2%
10 1
1.2%
ValueCountFrequency (%)
86 1
1.2%
85 1
1.2%
84 1
1.2%
83 1
1.2%
82 1
1.2%
81 1
1.2%
80 1
1.2%
79 1
1.2%
78 1
1.2%
77 1
1.2%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size820.0 B
게임물배급업
86 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
게임물배급업 86
100.0%

Length

2023-12-11T05:15:16.232293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:15:16.401300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
게임물배급업 86
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size820.0 B
03_05_01_P
86 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row03_05_01_P
2nd row03_05_01_P
3rd row03_05_01_P
4th row03_05_01_P
5th row03_05_01_P

Common Values

ValueCountFrequency (%)
03_05_01_P 86
100.0%

Length

2023-12-11T05:15:16.576764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:15:16.756580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_05_01_p 86
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)9.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3444418.6
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size906.0 B
2023-12-11T05:15:16.890660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13422500
median3450000
Q33460000
95-th percentile3470000
Maximum3480000
Range70000
Interquartile range (IQR)37500

Descriptive statistics

Standard deviation20094.17
Coefficient of variation (CV)0.0058338349
Kurtosis-1.0363184
Mean3444418.6
Median Absolute Deviation (MAD)10000
Skewness-0.30042658
Sum2.9622 × 108
Variance4.0377565 × 108
MonotonicityIncreasing
2023-12-11T05:15:17.044825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3460000 18
20.9%
3440000 17
19.8%
3420000 13
15.1%
3450000 13
15.1%
3470000 12
14.0%
3410000 9
10.5%
3430000 2
 
2.3%
3480000 2
 
2.3%
ValueCountFrequency (%)
3410000 9
10.5%
3420000 13
15.1%
3430000 2
 
2.3%
3440000 17
19.8%
3450000 13
15.1%
3460000 18
20.9%
3470000 12
14.0%
3480000 2
 
2.3%
ValueCountFrequency (%)
3480000 2
 
2.3%
3470000 12
14.0%
3460000 18
20.9%
3450000 13
15.1%
3440000 17
19.8%
3430000 2
 
2.3%
3420000 13
15.1%
3410000 9
10.5%

관리번호
Text

Distinct46
Distinct (%)53.5%
Missing0
Missing (%)0.0%
Memory size820.0 B
2023-12-11T05:15:17.398039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1720
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

Unique21 ?
Unique (%)24.4%

Sample

1st rowCDFF2241121999000002
2nd rowCDFF2241122003000001
3rd rowCDFF2241121999000001
4th rowCDFF2241122001000001
5th rowCDFF2241122021000001
ValueCountFrequency (%)
cdff2241122011000001 5
 
5.8%
cdff2241122010000001 4
 
4.7%
cdff2241122008000001 4
 
4.7%
cdff2241122014000001 4
 
4.7%
cdff2241122019000001 4
 
4.7%
cdff2241122015000001 4
 
4.7%
cdff2241122012000001 3
 
3.5%
cdff2241122020000001 3
 
3.5%
cdff2241122017000001 2
 
2.3%
cdff2241122012000002 2
 
2.3%
Other values (36) 51
59.3%
2023-12-11T05:15:17.947853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 546
31.7%
2 379
22.0%
1 298
17.3%
F 172
 
10.0%
4 95
 
5.5%
C 86
 
5.0%
D 86
 
5.0%
9 15
 
0.9%
3 14
 
0.8%
8 11
 
0.6%
Other values (3) 18
 
1.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1376
80.0%
Uppercase Letter 344
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 546
39.7%
2 379
27.5%
1 298
21.7%
4 95
 
6.9%
9 15
 
1.1%
3 14
 
1.0%
8 11
 
0.8%
7 9
 
0.7%
5 5
 
0.4%
6 4
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
F 172
50.0%
C 86
25.0%
D 86
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1376
80.0%
Latin 344
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 546
39.7%
2 379
27.5%
1 298
21.7%
4 95
 
6.9%
9 15
 
1.1%
3 14
 
1.0%
8 11
 
0.8%
7 9
 
0.7%
5 5
 
0.4%
6 4
 
0.3%
Latin
ValueCountFrequency (%)
F 172
50.0%
C 86
25.0%
D 86
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1720
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 546
31.7%
2 379
22.0%
1 298
17.3%
F 172
 
10.0%
4 95
 
5.5%
C 86
 
5.0%
D 86
 
5.0%
9 15
 
0.9%
3 14
 
0.8%
8 11
 
0.6%
Other values (3) 18
 
1.0%

인허가일자
Real number (ℝ)

Distinct82
Distinct (%)95.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20118589
Minimum19990618
Maximum20220216
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size906.0 B
2023-12-11T05:15:18.200949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19990618
5-th percentile20003613
Q120083470
median20120910
Q320160454
95-th percentile20200586
Maximum20220216
Range229598
Interquartile range (IQR)76983.75

Descriptive statistics

Standard deviation54922.828
Coefficient of variation (CV)0.0027299542
Kurtosis0.043951792
Mean20118589
Median Absolute Deviation (MAD)39593.5
Skewness-0.51131174
Sum1.7301987 × 109
Variance3.016517 × 109
MonotonicityNot monotonic
2023-12-11T05:15:18.475379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20131024 3
 
3.5%
20160504 2
 
2.3%
20011129 2
 
2.3%
20080411 1
 
1.2%
20120813 1
 
1.2%
20150608 1
 
1.2%
20081120 1
 
1.2%
20100927 1
 
1.2%
20110124 1
 
1.2%
20121102 1
 
1.2%
Other values (72) 72
83.7%
ValueCountFrequency (%)
19990618 1
1.2%
19990623 1
1.2%
19991208 1
1.2%
20000807 1
1.2%
20001108 1
1.2%
20011129 2
2.3%
20020216 1
1.2%
20030719 1
1.2%
20060321 1
1.2%
20060425 1
1.2%
ValueCountFrequency (%)
20220216 1
1.2%
20211111 1
1.2%
20210607 1
1.2%
20210309 1
1.2%
20200605 1
1.2%
20200529 1
1.2%
20200504 1
1.2%
20190501 1
1.2%
20180719 1
1.2%
20180703 1
1.2%

인허가취소일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size820.0 B
<NA>
84 
20110302
 
1
20070726
 
1

Length

Max length8
Median length4
Mean length4.0930233
Min length4

Unique

Unique2 ?
Unique (%)2.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 84
97.7%
20110302 1
 
1.2%
20070726 1
 
1.2%

Length

2023-12-11T05:15:18.774367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:15:18.954933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 84
97.7%
20110302 1
 
1.2%
20070726 1
 
1.2%

영업상태구분코드
Categorical

Distinct3
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size820.0 B
1
60 
3
21 
4
 
5

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 60
69.8%
3 21
 
24.4%
4 5
 
5.8%

Length

2023-12-11T05:15:19.129032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:15:19.302522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 60
69.8%
3 21
 
24.4%
4 5
 
5.8%

영업상태명
Categorical

Distinct3
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size820.0 B
영업/정상
60 
폐업
21 
취소/말소/만료/정지/중지
 
5

Length

Max length14
Median length5
Mean length4.7906977
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row폐업
2nd row폐업
3rd row영업/정상
4th row영업/정상
5th row영업/정상

Common Values

ValueCountFrequency (%)
영업/정상 60
69.8%
폐업 21
 
24.4%
취소/말소/만료/정지/중지 5
 
5.8%

Length

2023-12-11T05:15:19.522844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:15:19.688143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 60
69.8%
폐업 21
 
24.4%
취소/말소/만료/정지/중지 5
 
5.8%

상세영업상태코드
Categorical

Distinct5
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Memory size820.0 B
13
60 
3
21 
35
 
3
31
 
1
30
 
1

Length

Max length2
Median length2
Mean length1.755814
Min length1

Unique

Unique2 ?
Unique (%)2.3%

Sample

1st row3
2nd row3
3rd row13
4th row13
5th row13

Common Values

ValueCountFrequency (%)
13 60
69.8%
3 21
 
24.4%
35 3
 
3.5%
31 1
 
1.2%
30 1
 
1.2%

Length

2023-12-11T05:15:19.880371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:15:20.069774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 60
69.8%
3 21
 
24.4%
35 3
 
3.5%
31 1
 
1.2%
30 1
 
1.2%

상세영업상태명
Categorical

Distinct5
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Memory size820.0 B
영업중
60 
폐업
21 
직권말소
 
3
등록취소
 
1
허가취소
 
1

Length

Max length4
Median length3
Mean length2.8139535
Min length2

Unique

Unique2 ?
Unique (%)2.3%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 60
69.8%
폐업 21
 
24.4%
직권말소 3
 
3.5%
등록취소 1
 
1.2%
허가취소 1
 
1.2%

Length

2023-12-11T05:15:20.260186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:15:20.438349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 60
69.8%
폐업 21
 
24.4%
직권말소 3
 
3.5%
등록취소 1
 
1.2%
허가취소 1
 
1.2%

폐업일자
Real number (ℝ)

MISSING 

Distinct24
Distinct (%)100.0%
Missing62
Missing (%)72.1%
Infinite0
Infinite (%)0.0%
Mean20132368
Minimum20050912
Maximum20211029
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size906.0 B
2023-12-11T05:15:20.597676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20050912
5-th percentile20070372
Q120101204
median20130424
Q320160528
95-th percentile20208940
Maximum20211029
Range160117
Interquartile range (IQR)59323.5

Descriptive statistics

Standard deviation45262.539
Coefficient of variation (CV)0.0022482471
Kurtosis-0.70862642
Mean20132368
Median Absolute Deviation (MAD)29603
Skewness0.17496156
Sum4.8317684 × 108
Variance2.0486975 × 109
MonotonicityNot monotonic
2023-12-11T05:15:20.809864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
20191216 1
 
1.2%
20141226 1
 
1.2%
20110704 1
 
1.2%
20140808 1
 
1.2%
20090320 1
 
1.2%
20160329 1
 
1.2%
20180720 1
 
1.2%
20101231 1
 
1.2%
20110210 1
 
1.2%
20120131 1
 
1.2%
Other values (14) 14
 
16.3%
(Missing) 62
72.1%
ValueCountFrequency (%)
20050912 1
1.2%
20070313 1
1.2%
20070703 1
1.2%
20080418 1
1.2%
20090320 1
1.2%
20101123 1
1.2%
20101231 1
1.2%
20110210 1
1.2%
20110704 1
1.2%
20120131 1
1.2%
ValueCountFrequency (%)
20211029 1
1.2%
20210305 1
1.2%
20201204 1
1.2%
20191216 1
1.2%
20180720 1
1.2%
20161123 1
1.2%
20160329 1
1.2%
20150827 1
1.2%
20141226 1
1.2%
20140808 1
1.2%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing86
Missing (%)100.0%
Memory size906.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing86
Missing (%)100.0%
Memory size906.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing86
Missing (%)100.0%
Memory size906.0 B

소재지전화
Text

MISSING 

Distinct29
Distinct (%)100.0%
Missing57
Missing (%)66.3%
Memory size820.0 B
2023-12-11T05:15:21.090944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.724138
Min length8

Characters and Unicode

Total characters311
Distinct characters14
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)100.0%

Sample

1st row(053)953-0780
2nd row(053)421-1222
3rd row(053)217-5300
4th row(053)591-9500
5th row0539628605
ValueCountFrequency (%)
053)953-0780 1
 
3.3%
053)217-5300 1
 
3.3%
341-7570 1
 
3.3%
0536568480 1
 
3.3%
582-7201 1
 
3.3%
2019994 1
 
3.3%
053 1
 
3.3%
053-753-2729 1
 
3.3%
053-746-7740 1
 
3.3%
053-761-4486 1
 
3.3%
Other values (20) 20
66.7%
2023-12-11T05:15:21.587522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 44
14.1%
0 41
13.2%
- 37
11.9%
3 36
11.6%
7 30
9.6%
1 26
8.4%
6 26
8.4%
2 21
6.8%
8 15
 
4.8%
9 13
 
4.2%
Other values (4) 22
7.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 265
85.2%
Dash Punctuation 37
 
11.9%
Open Punctuation 4
 
1.3%
Close Punctuation 4
 
1.3%
Space Separator 1
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 44
16.6%
0 41
15.5%
3 36
13.6%
7 30
11.3%
1 26
9.8%
6 26
9.8%
2 21
7.9%
8 15
 
5.7%
9 13
 
4.9%
4 13
 
4.9%
Dash Punctuation
ValueCountFrequency (%)
- 37
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 311
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 44
14.1%
0 41
13.2%
- 37
11.9%
3 36
11.6%
7 30
9.6%
1 26
8.4%
6 26
8.4%
2 21
6.8%
8 15
 
4.8%
9 13
 
4.2%
Other values (4) 22
7.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 311
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 44
14.1%
0 41
13.2%
- 37
11.9%
3 36
11.6%
7 30
9.6%
1 26
8.4%
6 26
8.4%
2 21
6.8%
8 15
 
4.8%
9 13
 
4.2%
Other values (4) 22
7.1%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing86
Missing (%)100.0%
Memory size906.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)100.0%
Missing73
Missing (%)84.9%
Infinite0
Infinite (%)0.0%
Mean703940.69
Minimum700170
Maximum706840
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size906.0 B
2023-12-11T05:15:21.788940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum700170
5-th percentile700314.6
Q1700423
median704921
Q3706801
95-th percentile706829.8
Maximum706840
Range6670
Interquartile range (IQR)6378

Descriptive statistics

Standard deviation2952.8968
Coefficient of variation (CV)0.004194809
Kurtosis-1.9791799
Mean703940.69
Median Absolute Deviation (MAD)1902
Skewness-0.38452421
Sum9151229
Variance8719599.2
MonotonicityNot monotonic
2023-12-11T05:15:21.959268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
700170 1
 
1.2%
700809 1
 
1.2%
700423 1
 
1.2%
700411 1
 
1.2%
700421 1
 
1.2%
705817 1
 
1.2%
706170 1
 
1.2%
706840 1
 
1.2%
706801 1
 
1.2%
706822 1
 
1.2%
Other values (3) 3
 
3.5%
(Missing) 73
84.9%
ValueCountFrequency (%)
700170 1
1.2%
700411 1
1.2%
700421 1
1.2%
700423 1
1.2%
700809 1
1.2%
704801 1
1.2%
704921 1
1.2%
705817 1
1.2%
706170 1
1.2%
706801 1
1.2%
ValueCountFrequency (%)
706840 1
1.2%
706823 1
1.2%
706822 1
1.2%
706801 1
1.2%
706170 1
1.2%
705817 1
1.2%
704921 1
1.2%
704801 1
1.2%
700809 1
1.2%
700423 1
1.2%

소재지전체주소
Text

Distinct79
Distinct (%)91.9%
Missing0
Missing (%)0.0%
Memory size820.0 B
2023-12-11T05:15:22.327001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length37
Mean length25.883721
Min length16

Characters and Unicode

Total characters2226
Distinct characters139
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

Unique72 ?
Unique (%)83.7%

Sample

1st row대구광역시 중구 완전동 *-**번지
2nd row대구광역시 중구 대봉동 **-*번지 *층
3rd row대구광역시 중구 동인동*가 ***-**번지
4th row대구광역시 중구 동성로*가 **-**번지 교보생명빌딩 **층
5th row대구광역시 중구 대봉동 **-*
ValueCountFrequency (%)
대구광역시 86
20.3%
번지 74
17.5%
호 20
 
4.7%
수성구 18
 
4.2%
남구 17
 
4.0%
14
 
3.3%
동구 13
 
3.1%
북구 13
 
3.1%
대명동 12
 
2.8%
달서구 12
 
2.8%
Other values (80) 145
34.2%
2023-12-11T05:15:22.944366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 456
20.5%
412
18.5%
구 179
 
8.0%
대 113
 
5.1%
동 108
 
4.9%
시 89
 
4.0%
역 88
 
4.0%
광 87
 
3.9%
지 83
 
3.7%
번 74
 
3.3%
Other values (129) 537
24.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1279
57.5%
Other Punctuation 456
 
20.5%
Space Separator 412
 
18.5%
Dash Punctuation 67
 
3.0%
Open Punctuation 5
 
0.2%
Close Punctuation 5
 
0.2%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 179
14.0%
대 113
 
8.8%
동 108
 
8.4%
시 89
 
7.0%
역 88
 
6.9%
광 87
 
6.8%
지 83
 
6.5%
번 74
 
5.8%
성 27
 
2.1%
호 21
 
1.6%
Other values (122) 410
32.1%
Uppercase Letter
ValueCountFrequency (%)
B 1
50.0%
D 1
50.0%
Other Punctuation
ValueCountFrequency (%)
* 456
100.0%
Space Separator
ValueCountFrequency (%)
412
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 67
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1279
57.5%
Common 945
42.5%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 179
14.0%
대 113
 
8.8%
동 108
 
8.4%
시 89
 
7.0%
역 88
 
6.9%
광 87
 
6.8%
지 83
 
6.5%
번 74
 
5.8%
성 27
 
2.1%
호 21
 
1.6%
Other values (122) 410
32.1%
Common
ValueCountFrequency (%)
* 456
48.3%
412
43.6%
- 67
 
7.1%
( 5
 
0.5%
) 5
 
0.5%
Latin
ValueCountFrequency (%)
B 1
50.0%
D 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1279
57.5%
ASCII 947
42.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 456
48.2%
412
43.5%
- 67
 
7.1%
( 5
 
0.5%
) 5
 
0.5%
B 1
 
0.1%
D 1
 
0.1%
Hangul
ValueCountFrequency (%)
구 179
14.0%
대 113
 
8.8%
동 108
 
8.4%
시 89
 
7.0%
역 88
 
6.9%
광 87
 
6.8%
지 83
 
6.5%
번 74
 
5.8%
성 27
 
2.1%
호 21
 
1.6%
Other values (122) 410
32.1%

도로명전체주소
Text

MISSING 

Distinct81
Distinct (%)95.3%
Missing1
Missing (%)1.2%
Memory size820.0 B
2023-12-11T05:15:23.373293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length43
Mean length32.976471
Min length21

Characters and Unicode

Total characters2803
Distinct characters177
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

Unique78 ?
Unique (%)91.8%

Sample

1st row대구광역시 중구 교동길 ***-** (완전동)
2nd row대구광역시 중구 동덕로 ** (대봉동,*층)
3rd row대구광역시 중구 국채보상로***길 ** (동인동*가)
4th row대구광역시 중구 국채보상로 *** (동성로*가,교보생명빌딩 **층)
5th row대구광역시 중구 동덕로 **-**, *,*층 (대봉동)
ValueCountFrequency (%)
87
 
16.1%
대구광역시 85
 
15.7%
호 35
 
6.5%
층 30
 
5.6%
수성구 17
 
3.1%
남구 17
 
3.1%
북구 13
 
2.4%
동구 13
 
2.4%
달서구 12
 
2.2%
대명동 10
 
1.9%
Other values (147) 221
40.9%
2023-12-11T05:15:24.171804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
479
17.1%
* 471
16.8%
구 189
 
6.7%
대 133
 
4.7%
동 129
 
4.6%
, 90
 
3.2%
시 89
 
3.2%
광 88
 
3.1%
역 87
 
3.1%
( 85
 
3.0%
Other values (167) 963
34.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1574
56.2%
Other Punctuation 561
 
20.0%
Space Separator 479
 
17.1%
Open Punctuation 85
 
3.0%
Close Punctuation 85
 
3.0%
Dash Punctuation 15
 
0.5%
Uppercase Letter 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 189
 
12.0%
대 133
 
8.4%
동 129
 
8.2%
시 89
 
5.7%
광 88
 
5.6%
역 87
 
5.5%
로 82
 
5.2%
호 42
 
2.7%
길 39
 
2.5%
성 37
 
2.4%
Other values (157) 659
41.9%
Uppercase Letter
ValueCountFrequency (%)
B 1
25.0%
D 1
25.0%
I 1
25.0%
T 1
25.0%
Other Punctuation
ValueCountFrequency (%)
* 471
84.0%
, 90
 
16.0%
Space Separator
ValueCountFrequency (%)
479
100.0%
Open Punctuation
ValueCountFrequency (%)
( 85
100.0%
Close Punctuation
ValueCountFrequency (%)
) 85
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1574
56.2%
Common 1225
43.7%
Latin 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 189
 
12.0%
대 133
 
8.4%
동 129
 
8.2%
시 89
 
5.7%
광 88
 
5.6%
역 87
 
5.5%
로 82
 
5.2%
호 42
 
2.7%
길 39
 
2.5%
성 37
 
2.4%
Other values (157) 659
41.9%
Common
ValueCountFrequency (%)
479
39.1%
* 471
38.4%
, 90
 
7.3%
( 85
 
6.9%
) 85
 
6.9%
- 15
 
1.2%
Latin
ValueCountFrequency (%)
B 1
25.0%
D 1
25.0%
I 1
25.0%
T 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1574
56.2%
ASCII 1229
43.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
479
39.0%
* 471
38.3%
, 90
 
7.3%
( 85
 
6.9%
) 85
 
6.9%
- 15
 
1.2%
B 1
 
0.1%
D 1
 
0.1%
I 1
 
0.1%
T 1
 
0.1%
Hangul
ValueCountFrequency (%)
구 189
 
12.0%
대 133
 
8.4%
동 129
 
8.2%
시 89
 
5.7%
광 88
 
5.6%
역 87
 
5.5%
로 82
 
5.2%
호 42
 
2.7%
길 39
 
2.5%
성 37
 
2.4%
Other values (157) 659
41.9%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct48
Distinct (%)81.4%
Missing27
Missing (%)31.4%
Infinite0
Infinite (%)0.0%
Mean86901.678
Minimum41108
Maximum705831
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size906.0 B
2023-12-11T05:15:24.411632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41108
5-th percentile41162.8
Q141504
median42060
Q342457.5
95-th percentile703073.4
Maximum705831
Range664723
Interquartile range (IQR)953.5

Descriptive statistics

Standard deviation168083.57
Coefficient of variation (CV)1.9341809
Kurtosis10.817933
Mean86901.678
Median Absolute Deviation (MAD)542
Skewness3.5287304
Sum5127199
Variance2.8252086 × 1010
MonotonicityNot monotonic
2023-12-11T05:15:24.726407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
42403 6
 
7.0%
41260 3
 
3.5%
41256 2
 
2.3%
41243 2
 
2.3%
41125 2
 
2.3%
41585 2
 
2.3%
42930 1
 
1.2%
42060 1
 
1.2%
41536 1
 
1.2%
702866 1
 
1.2%
Other values (38) 38
44.2%
(Missing) 27
31.4%
ValueCountFrequency (%)
41108 1
 
1.2%
41125 2
2.3%
41167 1
 
1.2%
41209 1
 
1.2%
41226 1
 
1.2%
41243 2
2.3%
41256 2
2.3%
41260 3
3.5%
41450 1
 
1.2%
41503 1
 
1.2%
ValueCountFrequency (%)
705831 1
1.2%
705816 1
1.2%
704940 1
1.2%
702866 1
1.2%
42930 1
1.2%
42781 1
1.2%
42764 1
1.2%
42756 1
1.2%
42734 1
1.2%
42718 1
1.2%

사업장명
Text

Distinct83
Distinct (%)96.5%
Missing0
Missing (%)0.0%
Memory size820.0 B
2023-12-11T05:15:25.073505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length7
Min length2

Characters and Unicode

Total characters602
Distinct characters168
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

Unique81 ?
Unique (%)94.2%

Sample

1st row대명전자
2nd row(주)신디벨리
3rd row이지AMUSE
4th row주식회사 코그
5th row주식회사 원블레이즈
ValueCountFrequency (%)
주식회사 8
 
7.9%
다모아 3
 
3.0%
게임아시아 2
 
2.0%
휴즈넷 2
 
2.0%
우진통신 1
 
1.0%
주)플랜즈 1
 
1.0%
다낸다전자 1
 
1.0%
컴퓨터 1
 
1.0%
v 1
 
1.0%
두산전자 1
 
1.0%
Other values (80) 80
79.2%
2023-12-11T05:15:25.644052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 41
 
6.8%
( 33
 
5.5%
) 33
 
5.5%
이 22
 
3.7%
트 19
 
3.2%
스 18
 
3.0%
15
 
2.5%
프 14
 
2.3%
사 14
 
2.3%
식 12
 
2.0%
Other values (158) 381
63.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 501
83.2%
Open Punctuation 33
 
5.5%
Close Punctuation 33
 
5.5%
Space Separator 15
 
2.5%
Uppercase Letter 15
 
2.5%
Decimal Number 4
 
0.7%
Lowercase Letter 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 41
 
8.2%
이 22
 
4.4%
트 19
 
3.8%
스 18
 
3.6%
프 14
 
2.8%
사 14
 
2.8%
식 12
 
2.4%
아 12
 
2.4%
소 11
 
2.2%
지 11
 
2.2%
Other values (139) 327
65.3%
Uppercase Letter
ValueCountFrequency (%)
S 2
13.3%
O 2
13.3%
C 2
13.3%
G 1
6.7%
D 1
6.7%
V 1
6.7%
P 1
6.7%
A 1
6.7%
M 1
6.7%
U 1
6.7%
Other values (2) 2
13.3%
Decimal Number
ValueCountFrequency (%)
2 2
50.0%
4 1
25.0%
1 1
25.0%
Open Punctuation
ValueCountFrequency (%)
( 33
100.0%
Close Punctuation
ValueCountFrequency (%)
) 33
100.0%
Space Separator
ValueCountFrequency (%)
15
100.0%
Lowercase Letter
ValueCountFrequency (%)
u 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 501
83.2%
Common 85
 
14.1%
Latin 16
 
2.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 41
 
8.2%
이 22
 
4.4%
트 19
 
3.8%
스 18
 
3.6%
프 14
 
2.8%
사 14
 
2.8%
식 12
 
2.4%
아 12
 
2.4%
소 11
 
2.2%
지 11
 
2.2%
Other values (139) 327
65.3%
Latin
ValueCountFrequency (%)
S 2
12.5%
O 2
12.5%
C 2
12.5%
G 1
 
6.2%
D 1
 
6.2%
u 1
 
6.2%
V 1
 
6.2%
P 1
 
6.2%
A 1
 
6.2%
M 1
 
6.2%
Other values (3) 3
18.8%
Common
ValueCountFrequency (%)
( 33
38.8%
) 33
38.8%
15
17.6%
2 2
 
2.4%
4 1
 
1.2%
1 1
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 501
83.2%
ASCII 101
 
16.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 41
 
8.2%
이 22
 
4.4%
트 19
 
3.8%
스 18
 
3.6%
프 14
 
2.8%
사 14
 
2.8%
식 12
 
2.4%
아 12
 
2.4%
소 11
 
2.2%
지 11
 
2.2%
Other values (139) 327
65.3%
ASCII
ValueCountFrequency (%)
( 33
32.7%
) 33
32.7%
15
14.9%
S 2
 
2.0%
O 2
 
2.0%
C 2
 
2.0%
2 2
 
2.0%
G 1
 
1.0%
D 1
 
1.0%
u 1
 
1.0%
Other values (9) 9
 
8.9%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct86
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0144019 × 1013
Minimum2.0070703 × 1013
Maximum2.0220217 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size906.0 B
2023-12-11T05:15:25.859099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0070703 × 1013
5-th percentile2.0070808 × 1013
Q12.0110638 × 1013
median2.0140915 × 1013
Q32.0180276 × 1013
95-th percentile2.0210924 × 1013
Maximum2.0220217 × 1013
Range1.4951396 × 1011
Interquartile range (IQR)6.9638811 × 1010

Descriptive statistics

Standard deviation4.3688915 × 1010
Coefficient of variation (CV)0.0021688282
Kurtosis-0.98037848
Mean2.0144019 × 1013
Median Absolute Deviation (MAD)3.0561446 × 1010
Skewness0.0053467483
Sum1.7323856 × 1015
Variance1.9087213 × 1021
MonotonicityNot monotonic
2023-12-11T05:15:26.096169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20070808170416 1
 
1.2%
20120105130619 1
 
1.2%
20150608181758 1
 
1.2%
20110103114204 1
 
1.2%
20110210150540 1
 
1.2%
20120131093648 1
 
1.2%
20150827152721 1
 
1.2%
20191216164012 1
 
1.2%
20080129170130 1
 
1.2%
20080411094347 1
 
1.2%
Other values (76) 76
88.4%
ValueCountFrequency (%)
20070703163137 1
1.2%
20070726130836 1
1.2%
20070808163439 1
1.2%
20070808164038 1
1.2%
20070808165256 1
1.2%
20070808170416 1
1.2%
20071004101300 1
1.2%
20080129170130 1
1.2%
20080411094347 1
1.2%
20080429165137 1
1.2%
ValueCountFrequency (%)
20220217124746 1
1.2%
20220216163341 1
1.2%
20211206103022 1
1.2%
20211111091814 1
1.2%
20211029112431 1
1.2%
20210608085932 1
1.2%
20210503112551 1
1.2%
20210311141956 1
1.2%
20210305144648 1
1.2%
20210125173554 1
1.2%

데이터갱신구분
Categorical

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size820.0 B
I
75 
U
11 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 75
87.2%
U 11
 
12.8%

Length

2023-12-11T05:15:26.297679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:15:26.779266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 75
87.2%
u 11
 
12.8%

데이터갱신일자
Categorical

IMBALANCE 

Distinct21
Distinct (%)24.4%
Missing0
Missing (%)0.0%
Memory size820.0 B
2018-08-31 23:59:59.0
66 
2019-04-14 02:40:00.0
 
1
2021-06-09 00:22:55.0
 
1
2020-05-06 00:23:19.0
 
1
2021-03-07 02:40:00.0
 
1
Other values (16)
16 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique20 ?
Unique (%)23.3%

Sample

1st row2018-08-31 23:59:59.0
2nd row2018-08-31 23:59:59.0
3rd row2018-08-31 23:59:59.0
4th row2019-04-14 02:40:00.0
5th row2021-06-09 00:22:55.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 66
76.7%
2019-04-14 02:40:00.0 1
 
1.2%
2021-06-09 00:22:55.0 1
 
1.2%
2020-05-06 00:23:19.0 1
 
1.2%
2021-03-07 02:40:00.0 1
 
1.2%
2021-10-31 02:40:00.0 1
 
1.2%
2022-02-19 02:40:00.0 1
 
1.2%
2021-01-27 02:40:00.0 1
 
1.2%
2022-02-18 00:22:37.0 1
 
1.2%
2021-12-08 02:40:00.0 1
 
1.2%
Other values (11) 11
 
12.8%

Length

2023-12-11T05:15:26.948942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 66
38.4%
23:59:59.0 66
38.4%
02:40:00.0 11
 
6.4%
2019-09-27 1
 
0.6%
02:20:36.0 1
 
0.6%
2019-05-03 1
 
0.6%
2021-05-05 1
 
0.6%
2019-12-18 1
 
0.6%
2020-07-26 1
 
0.6%
2019-05-04 1
 
0.6%
Other values (22) 22
 
12.8%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing86
Missing (%)100.0%
Memory size906.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct74
Distinct (%)88.1%
Missing2
Missing (%)2.3%
Infinite0
Infinite (%)0.0%
Mean343867.84
Minimum333415.22
Maximum354755.03
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size906.0 B
2023-12-11T05:15:27.157495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum333415.22
5-th percentile335261.1
Q1342632.84
median344517.28
Q3346166.32
95-th percentile348863.43
Maximum354755.03
Range21339.816
Interquartile range (IQR)3533.4775

Descriptive statistics

Standard deviation4254.8389
Coefficient of variation (CV)0.012373471
Kurtosis0.83341811
Mean343867.84
Median Absolute Deviation (MAD)1884.4315
Skewness-0.29020292
Sum28884899
Variance18103654
MonotonicityNot monotonic
2023-12-11T05:15:27.393334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
342632.844135 3
 
3.5%
342774.766132 3
 
3.5%
346969.129572 2
 
2.3%
345435.631983 2
 
2.3%
345641.188638 2
 
2.3%
346677.868181 2
 
2.3%
343318.955676 2
 
2.3%
353862.969131 2
 
2.3%
346451.369675 1
 
1.2%
346516.666687 1
 
1.2%
Other values (64) 64
74.4%
(Missing) 2
 
2.3%
ValueCountFrequency (%)
333415.217405 1
1.2%
334345.322515 1
1.2%
334875.549386 1
1.2%
334920.933624 1
1.2%
335193.722935 1
1.2%
335642.888399 1
1.2%
335806.191873 1
1.2%
336178.174639 1
1.2%
337678.732425 1
1.2%
338003.522354 1
1.2%
ValueCountFrequency (%)
354755.033317 1
1.2%
353862.969131 2
2.3%
352725.021343 1
1.2%
348898.124525 1
1.2%
348666.821547 1
1.2%
348665.873375 1
1.2%
348070.291081 1
1.2%
348032.167321 1
1.2%
347464.052033 1
1.2%
346969.129572 2
2.3%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct74
Distinct (%)88.1%
Missing2
Missing (%)2.3%
Infinite0
Infinite (%)0.0%
Mean263359.92
Minimum257161.28
Maximum271327.71
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size906.0 B
2023-12-11T05:15:27.581103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum257161.28
5-th percentile259587.52
Q1261397.46
median263112.46
Q3264936.49
95-th percentile268158.2
Maximum271327.71
Range14166.422
Interquartile range (IQR)3539.026

Descriptive statistics

Standard deviation2689.6902
Coefficient of variation (CV)0.010212982
Kurtosis0.490876
Mean263359.92
Median Absolute Deviation (MAD)1725.1783
Skewness0.43562687
Sum22122233
Variance7234433.3
MonotonicityNot monotonic
2023-12-11T05:15:27.804017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
262643.902173 3
 
3.5%
262912.887933 3
 
3.5%
265145.040121 2
 
2.3%
259801.351093 2
 
2.3%
261397.463751 2
 
2.3%
264714.344433 2
 
2.3%
266167.784875 2
 
2.3%
265380.272888 2
 
2.3%
260454.423978 1
 
1.2%
264167.942531 1
 
1.2%
Other values (64) 64
74.4%
(Missing) 2
 
2.3%
ValueCountFrequency (%)
257161.284214 1
1.2%
258226.476813 1
1.2%
258570.98584 1
1.2%
259052.115282 1
1.2%
259549.788813 1
1.2%
259801.351093 2
2.3%
260244.108497 1
1.2%
260454.423978 1
1.2%
260479.646796 1
1.2%
260526.965278 1
1.2%
ValueCountFrequency (%)
271327.706448 1
1.2%
270672.162723 1
1.2%
269009.174969 1
1.2%
268476.874903 1
1.2%
268253.830253 1
1.2%
267616.268895 1
1.2%
266987.666828 1
1.2%
266601.164356 1
1.2%
266264.147834 1
1.2%
266167.784875 2
2.3%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size820.0 B
게임물배급업
86 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
게임물배급업 86
100.0%

Length

2023-12-11T05:15:28.047666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:15:28.212714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
게임물배급업 86
100.0%

문화사업자구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size820.0 B
유통관련업
86 

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 86
100.0%

Length

2023-12-11T05:15:28.376812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:15:28.545519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 86
100.0%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)32.4%
Missing49
Missing (%)57.0%
Infinite0
Infinite (%)0.0%
Mean4.5675676
Minimum0
Maximum20
Zeros2
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size906.0 B
2023-12-11T05:15:28.690523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.8
Q12
median4
Q35
95-th percentile13.4
Maximum20
Range20
Interquartile range (IQR)3

Descriptive statistics

Standard deviation4.2001358
Coefficient of variation (CV)0.91955637
Kurtosis5.011266
Mean4.5675676
Median Absolute Deviation (MAD)2
Skewness2.1380755
Sum169
Variance17.641141
MonotonicityNot monotonic
2023-12-11T05:15:28.887219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
2 11
 
12.8%
4 8
 
9.3%
5 6
 
7.0%
0 2
 
2.3%
1 2
 
2.3%
6 2
 
2.3%
20 1
 
1.2%
8 1
 
1.2%
15 1
 
1.2%
3 1
 
1.2%
Other values (2) 2
 
2.3%
(Missing) 49
57.0%
ValueCountFrequency (%)
0 2
 
2.3%
1 2
 
2.3%
2 11
12.8%
3 1
 
1.2%
4 8
9.3%
5 6
7.0%
6 2
 
2.3%
8 1
 
1.2%
12 1
 
1.2%
13 1
 
1.2%
ValueCountFrequency (%)
20 1
 
1.2%
15 1
 
1.2%
13 1
 
1.2%
12 1
 
1.2%
8 1
 
1.2%
6 2
 
2.3%
5 6
7.0%
4 8
9.3%
3 1
 
1.2%
2 11
12.8%

주변환경명
Categorical

IMBALANCE 

Distinct6
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size820.0 B
<NA>
65 
기타
10 
주택가주변
 
5
아파트지역
 
4
학교정화(절대)
 
1

Length

Max length8
Median length4
Mean length3.9651163
Min length2

Unique

Unique2 ?
Unique (%)2.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 65
75.6%
기타 10
 
11.6%
주택가주변 5
 
5.8%
아파트지역 4
 
4.7%
학교정화(절대) 1
 
1.2%
학교정화(상대) 1
 
1.2%

Length

2023-12-11T05:15:29.112152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:15:29.313191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 65
75.6%
기타 10
 
11.6%
주택가주변 5
 
5.8%
아파트지역 4
 
4.7%
학교정화(절대 1
 
1.2%
학교정화(상대 1
 
1.2%

제작취급품목내용
Text

Distinct54
Distinct (%)62.8%
Missing0
Missing (%)0.0%
Memory size820.0 B
2023-12-11T05:15:29.648770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length9
Mean length6.2093023
Min length2

Characters and Unicode

Total characters534
Distinct characters86
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

Unique43 ?
Unique (%)50.0%

Sample

1st row게임물
2nd row게임물
3rd row게임물
4th row게임물
5th row온라인게임
ValueCountFrequency (%)
게임 14
 
12.2%
게임물 12
 
10.4%
온라인게임 6
 
5.2%
모바일게임 5
 
4.3%
아케이드 5
 
4.3%
모바일 5
 
4.3%
아케이드게임 4
 
3.5%
온라인 3
 
2.6%
보드게임 3
 
2.6%
스마트폰게임 3
 
2.6%
Other values (46) 55
47.8%
2023-12-11T05:15:30.240222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
임 77
 
14.4%
게 76
 
14.2%
29
 
5.4%
온 17
 
3.2%
라 17
 
3.2%
인 17
 
3.2%
이 16
 
3.0%
물 16
 
3.0%
일 16
 
3.0%
드 16
 
3.0%
Other values (76) 237
44.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 464
86.9%
Space Separator 29
 
5.4%
Uppercase Letter 16
 
3.0%
Other Punctuation 13
 
2.4%
Lowercase Letter 8
 
1.5%
Close Punctuation 2
 
0.4%
Open Punctuation 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
임 77
16.6%
게 76
16.4%
온 17
 
3.7%
라 17
 
3.7%
인 17
 
3.7%
이 16
 
3.4%
물 16
 
3.4%
일 16
 
3.4%
드 16
 
3.4%
기 15
 
3.2%
Other values (61) 181
39.0%
Uppercase Letter
ValueCountFrequency (%)
V 4
25.0%
R 4
25.0%
C 4
25.0%
P 3
18.8%
D 1
 
6.2%
Lowercase Letter
ValueCountFrequency (%)
a 3
37.5%
i 2
25.0%
p 1
 
12.5%
l 1
 
12.5%
y 1
 
12.5%
Other Punctuation
ValueCountFrequency (%)
, 12
92.3%
/ 1
 
7.7%
Space Separator
ValueCountFrequency (%)
29
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 464
86.9%
Common 46
 
8.6%
Latin 24
 
4.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
임 77
16.6%
게 76
16.4%
온 17
 
3.7%
라 17
 
3.7%
인 17
 
3.7%
이 16
 
3.4%
물 16
 
3.4%
일 16
 
3.4%
드 16
 
3.4%
기 15
 
3.2%
Other values (61) 181
39.0%
Latin
ValueCountFrequency (%)
V 4
16.7%
R 4
16.7%
C 4
16.7%
P 3
12.5%
a 3
12.5%
i 2
8.3%
D 1
 
4.2%
p 1
 
4.2%
l 1
 
4.2%
y 1
 
4.2%
Common
ValueCountFrequency (%)
29
63.0%
, 12
26.1%
) 2
 
4.3%
( 2
 
4.3%
/ 1
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 464
86.9%
ASCII 70
 
13.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
임 77
16.6%
게 76
16.4%
온 17
 
3.7%
라 17
 
3.7%
인 17
 
3.7%
이 16
 
3.4%
물 16
 
3.4%
일 16
 
3.4%
드 16
 
3.4%
기 15
 
3.2%
Other values (61) 181
39.0%
ASCII
ValueCountFrequency (%)
29
41.4%
, 12
17.1%
V 4
 
5.7%
R 4
 
5.7%
C 4
 
5.7%
P 3
 
4.3%
a 3
 
4.3%
) 2
 
2.9%
i 2
 
2.9%
( 2
 
2.9%
Other values (5) 5
 
7.1%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct70
Distinct (%)90.9%
Missing9
Missing (%)10.5%
Infinite0
Infinite (%)0.0%
Mean96.468442
Minimum0
Maximum840.07
Zeros1
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size906.0 B
2023-12-11T05:15:30.502214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q126.4
median61.07
Q3107.66
95-th percentile279.698
Maximum840.07
Range840.07
Interquartile range (IQR)81.26

Descriptive statistics

Standard deviation118.77887
Coefficient of variation (CV)1.2312718
Kurtosis19.605522
Mean96.468442
Median Absolute Deviation (MAD)42.93
Skewness3.629905
Sum7428.07
Variance14108.421
MonotonicityNot monotonic
2023-12-11T05:15:30.723055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.0 4
 
4.7%
33.0 3
 
3.5%
105.6 2
 
2.3%
30.0 2
 
2.3%
214.58 1
 
1.2%
28.19 1
 
1.2%
43.04 1
 
1.2%
262.0 1
 
1.2%
52.0 1
 
1.2%
25.0 1
 
1.2%
Other values (60) 60
69.8%
(Missing) 9
 
10.5%
ValueCountFrequency (%)
0.0 1
 
1.2%
1.0 4
4.7%
3.3 1
 
1.2%
8.0 1
 
1.2%
9.0 1
 
1.2%
10.11 1
 
1.2%
12.0 1
 
1.2%
13.44 1
 
1.2%
14.4 1
 
1.2%
16.0 1
 
1.2%
ValueCountFrequency (%)
840.07 1
1.2%
342.18 1
1.2%
310.63 1
1.2%
307.65 1
1.2%
272.71 1
1.2%
262.0 1
1.2%
232.02 1
1.2%
214.58 1
1.2%
212.62 1
1.2%
207.0 1
1.2%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)20.5%
Missing47
Missing (%)54.7%
Infinite0
Infinite (%)0.0%
Mean2.5641026
Minimum0
Maximum9
Zeros2
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size906.0 B
2023-12-11T05:15:30.928314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.9
Q11
median2
Q33
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.1125548
Coefficient of variation (CV)0.82389639
Kurtosis2.4960092
Mean2.5641026
Median Absolute Deviation (MAD)1
Skewness1.6004984
Sum100
Variance4.462888
MonotonicityNot monotonic
2023-12-11T05:15:31.121174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 13
 
15.1%
2 9
 
10.5%
3 6
 
7.0%
4 4
 
4.7%
0 2
 
2.3%
5 2
 
2.3%
8 2
 
2.3%
9 1
 
1.2%
(Missing) 47
54.7%
ValueCountFrequency (%)
0 2
 
2.3%
1 13
15.1%
2 9
10.5%
3 6
7.0%
4 4
 
4.7%
5 2
 
2.3%
8 2
 
2.3%
9 1
 
1.2%
ValueCountFrequency (%)
9 1
 
1.2%
8 2
 
2.3%
5 2
 
2.3%
4 4
 
4.7%
3 6
7.0%
2 9
10.5%
1 13
15.1%
0 2
 
2.3%

지하층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size820.0 B
<NA>
75 
1
 
7
0
 
4

Length

Max length4
Median length4
Mean length3.6162791
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 75
87.2%
1 7
 
8.1%
0 4
 
4.7%

Length

2023-12-11T05:15:31.808434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:15:32.347565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 75
87.2%
1 7
 
8.1%
0 4
 
4.7%

건물용도명
Categorical

Distinct9
Distinct (%)10.5%
Missing0
Missing (%)0.0%
Memory size820.0 B
<NA>
58 
근린생활시설
13 
사무실
 
4
단독주택
 
4
교육연구시설
 
3
Other values (4)
 
4

Length

Max length15
Median length4
Mean length4.4418605
Min length2

Unique

Unique4 ?
Unique (%)4.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 58
67.4%
근린생활시설 13
 
15.1%
사무실 4
 
4.7%
단독주택 4
 
4.7%
교육연구시설 3
 
3.5%
판매시설 1
 
1.2%
다가구용 주택(공동주택적용) 1
 
1.2%
기타 1
 
1.2%
다세대주택 1
 
1.2%

Length

2023-12-11T05:15:32.948222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:15:33.332473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 58
66.7%
근린생활시설 13
 
14.9%
사무실 4
 
4.6%
단독주택 4
 
4.6%
교육연구시설 3
 
3.4%
판매시설 1
 
1.1%
다가구용 1
 
1.1%
주택(공동주택적용 1
 
1.1%
기타 1
 
1.1%
다세대주택 1
 
1.1%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size820.0 B
<NA>
82 
0
 
4

Length

Max length4
Median length4
Mean length3.8604651
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 82
95.3%
0 4
 
4.7%

Length

2023-12-11T05:15:33.650993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:15:33.849368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 82
95.3%
0 4
 
4.7%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size820.0 B
<NA>
82 
0
 
4

Length

Max length4
Median length4
Mean length3.8604651
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 82
95.3%
0 4
 
4.7%

Length

2023-12-11T05:15:34.039436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:15:34.210835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 82
95.3%
0 4
 
4.7%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size820.0 B
<NA>
82 
0
 
4

Length

Max length4
Median length4
Mean length3.8604651
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 82
95.3%
0 4
 
4.7%

Length

2023-12-11T05:15:34.393976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:15:34.584139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 82
95.3%
0 4
 
4.7%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size820.0 B
<NA>
82 
0
 
4

Length

Max length4
Median length4
Mean length3.8604651
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 82
95.3%
0 4
 
4.7%

Length

2023-12-11T05:15:34.755399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:15:34.910336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 82
95.3%
0 4
 
4.7%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing86
Missing (%)100.0%
Memory size906.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing86
Missing (%)100.0%
Memory size906.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing86
Missing (%)100.0%
Memory size906.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing86
Missing (%)100.0%
Memory size906.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing86
Missing (%)100.0%
Memory size906.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing86
Missing (%)100.0%
Memory size906.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing86
Missing (%)100.0%
Memory size906.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing86
Missing (%)100.0%
Memory size906.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing86
Missing (%)100.0%
Memory size906.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing86
Missing (%)100.0%
Memory size906.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing86
Missing (%)100.0%
Memory size906.0 B

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size820.0 B
<NA>
82 
0
 
4

Length

Max length4
Median length4
Mean length3.8604651
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 82
95.3%
0 4
 
4.7%

Length

2023-12-11T05:15:35.079335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:15:35.214375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 82
95.3%
0 4
 
4.7%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing86
Missing (%)100.0%
Memory size906.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing86
Missing (%)100.0%
Memory size906.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing86
Missing (%)100.0%
Memory size906.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing86
Missing (%)100.0%
Memory size906.0 B

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing86
Missing (%)100.0%
Memory size906.0 B

지역구분명
Categorical

Distinct10
Distinct (%)11.6%
Missing0
Missing (%)0.0%
Memory size820.0 B
<NA>
55 
일반주거지역
15 
주거지역
 
4
일반상업지역
 
4
준주거지역
 
3
Other values (5)
 
5

Length

Max length6
Median length4
Mean length4.5581395
Min length4

Unique

Unique5 ?
Unique (%)5.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 55
64.0%
일반주거지역 15
 
17.4%
주거지역 4
 
4.7%
일반상업지역 4
 
4.7%
준주거지역 3
 
3.5%
상업지역 1
 
1.2%
중심상업지역 1
 
1.2%
준공업지역 1
 
1.2%
근린상업지역 1
 
1.2%
자연녹지지역 1
 
1.2%

Length

2023-12-11T05:15:35.400933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:15:35.677634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 55
64.0%
일반주거지역 15
 
17.4%
주거지역 4
 
4.7%
일반상업지역 4
 
4.7%
준주거지역 3
 
3.5%
상업지역 1
 
1.2%
중심상업지역 1
 
1.2%
준공업지역 1
 
1.2%
근린상업지역 1
 
1.2%
자연녹지지역 1
 
1.2%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
01게임물배급업03_05_01_P3410000CDFF224112199900000219990618<NA>3폐업3폐업20070313<NA><NA><NA>(053)953-0780<NA>700170대구광역시 중구 완전동 *-**번지대구광역시 중구 교동길 ***-** (완전동)<NA>대명전자20070808170416I2018-08-31 23:59:59.0<NA>344428.931658264772.696292게임물배급업유통관련업<NA><NA>게임물<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
12게임물배급업03_05_01_P3410000CDFF224112200300000120030719<NA>3폐업3폐업20050912<NA><NA><NA>(053)421-1222<NA>700809대구광역시 중구 대봉동 **-*번지 *층대구광역시 중구 동덕로 ** (대봉동,*층)<NA>(주)신디벨리20070808165256I2018-08-31 23:59:59.0<NA>344816.160106263489.007601게임물배급업유통관련업<NA><NA>게임물<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23게임물배급업03_05_01_P3410000CDFF224112199900000119991208<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>700423대구광역시 중구 동인동*가 ***-**번지대구광역시 중구 국채보상로***길 ** (동인동*가)<NA>이지AMUSE20070808163439I2018-08-31 23:59:59.0<NA>345227.764009264612.194927게임물배급업유통관련업<NA><NA>게임물<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
34게임물배급업03_05_01_P3410000CDFF224112200100000120011129<NA>1영업/정상13영업중<NA><NA><NA><NA>(053)217-5300<NA><NA>대구광역시 중구 동성로*가 **-**번지 교보생명빌딩 **층대구광역시 중구 국채보상로 *** (동성로*가,교보생명빌딩 **층)<NA>주식회사 코그20190412174430U2019-04-14 02:40:00.0<NA>343959.823762264529.39356게임물배급업유통관련업<NA><NA>게임물103.2<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
45게임물배급업03_05_01_P3410000CDFF224112202100000120210607<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 대봉동 **-*대구광역시 중구 동덕로 **-**, *,*층 (대봉동)41952주식회사 원블레이즈20210608085932I2021-06-09 00:22:55.0<NA>344902.047722263466.758184게임물배급업유통관련업<NA><NA>온라인게임105.6<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
56게임물배급업03_05_01_P3410000CDFF224112200700000120071004<NA>1영업/정상13영업중<NA><NA><NA><NA>(053)591-9500<NA>700411대구광역시 중구 삼덕동*가 **번지 B동대구광역시 중구 동성로*길 ** (삼덕동*가,B동)<NA>(주)상아개발20071004101300I2018-08-31 23:59:59.0<NA>344343.282168264093.487414게임물배급업유통관련업<NA><NA>게임물,펀킥<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
67게임물배급업03_05_01_P3410000CDFF224112201200000120120227<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 삼덕동*가 ***-*번지 진석타워즈 내 창업센터대구광역시 중구 동덕로 ***, *층 ***호 (삼덕동*가)41940(주)기뉴20140226111347I2018-08-31 23:59:59.0<NA>344686.259338263958.880864게임물배급업유통관련업<NA><NA>일반게임소프트웨어8.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
78게임물배급업03_05_01_P3410000CDFF224112202000000120200504<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 수창동 ***번지 대구역센트럴자이 ***동 ****호대구광역시 중구 서성로 **, ***동 ****호 (수창동, 대구역센트럴자이)41915(주)나다디지탈20200504143522I2020-05-06 00:23:19.0<NA><NA><NA>게임물배급업유통관련업<NA>아파트지역게임84.6<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>주거지역
89게임물배급업03_05_01_P3410000CDFF224112200200000120020216<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>700421대구광역시 중구 동인동*가 **-*번지 동인시티타운 *층대구광역시 중구 국채보상로***길 ** (동인동*가,동인시티타운 *층)<NA>(주)지오텍시스템20070808164038I2018-08-31 23:59:59.0<NA>344605.619674264770.297911게임물배급업유통관련업<NA><NA>게임물<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
910게임물배급업03_05_01_P3420000CDFF224112201600000120131024<NA>3폐업3폐업20161123<NA><NA><NA>0539628605<NA><NA>대구광역시 동구 율하동 ****번지대구광역시 동구 율하서로 **, ***호 (율하동)41108브레인스포츠엔터테인먼트(주)20161123163530I2018-08-31 23:59:59.0<NA>352725.021343264201.382696게임물배급업유통관련업20<NA>온라인,모바일게임84.2421<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
7677게임물배급업03_05_01_P3470000CDFF224112201200000120120525<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달서구 월암동 *-***번지대구광역시 달서구 성서공단로**길 ** (월암동)42718(주)텍스랜드앤넥스코20120525104828I2018-08-31 23:59:59.0<NA>334920.933624260244.108497게임물배급업유통관련업1기타온라인교육프로그램105.61<NA>사무실<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
7778게임물배급업03_05_01_P3470000CDFF224112201300000220131024<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달서구 성당동 ***-**번지대구광역시 달서구 장기로**안길 *-* (성당동)42655지에스소프트20131028090031I2018-08-31 23:59:59.0<NA>339776.065359261703.747586게임물배급업유통관련업<NA><NA>아케이드게임82.05<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
7879게임물배급업03_05_01_P3470000CDFF224112201500000120151103<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달서구 월성동 ****번지 코오롱하늘채 ***동 ****호대구광역시 달서구 조암남로**길 **, ***동 ****호 (월성동, 월성코오롱하늘채아파트 *단지)42756태풍소프트20151105100704I2018-08-31 23:59:59.0<NA>337678.732425259052.115282게임물배급업유통관련업<NA><NA>컴퓨터게임14.4<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
7980게임물배급업03_05_01_P3470000CDFF224112201800000120180126<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달서구 호림동 *-*대구광역시 달서구 달서대로**길 **, 모다지식산업센터 나동 *층 ***,***호 (호림동)42714주식회사인솔엠앤티20210503112551U2021-05-05 02:40:00.0<NA>334345.322515260900.296651게임물배급업유통관련업5기타aiaiplay187.71<NA>교육연구시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반주거지역
8081게임물배급업03_05_01_P3470000CDFF224112201900000120190501<NA>1영업/정상13영업중<NA><NA><NA><NA>0536568480<NA><NA>대구광역시 달서구 상인동 ***-*번지 우리빌딩대구광역시 달서구 월배로 ***, 우리빌딩 *층 ***호 (상인동)42781주식회사우리소프트20190501163412I2019-05-03 02:20:36.0<NA>338451.426686258570.98584게임물배급업유통관련업13기타온라인교육프로그램88.58<NA>교육연구시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>근린상업지역
8182게임물배급업03_05_01_P3470000CDFF224112201300000120130327<NA>4취소/말소/만료/정지/중지35직권말소20140808<NA><NA><NA><NA><NA><NA>대구광역시 달서구 이곡동 ****번지대구광역시 달서구 이곡서로 **, ***호 (이곡동)7049402u(투유)미디어20140808100535I2018-08-31 23:59:59.0<NA>335806.191873262543.472033게임물배급업유통관련업4<NA>온라인게임물107.661<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8283게임물배급업03_05_01_P3470000CDFF224112200000000120001108200707264취소/말소/만료/정지/중지30허가취소<NA><NA><NA><NA>588-7766<NA>704801대구광역시 달서구 대천동 ***-*번지대구광역시 달서구 성서공단남로**길 ** (대천동)<NA>(주)디앤제이어뮤즈먼트20070726130836I2018-08-31 23:59:59.0<NA>335193.722935259549.788813게임물배급업유통관련업<NA><NA>아케이드<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8384게임물배급업03_05_01_P3470000CDFF224112200800000220080819<NA>4취소/말소/만료/정지/중지35직권말소20110704<NA><NA><NA><NA><NA><NA>대구광역시 달서구 성당동 ***-*번지대구광역시 달서구 야외음악당로*길 * (성당동)<NA>낙원20110705101242I2018-08-31 23:59:59.0<NA>340270.575428261138.314676게임물배급업유통관련업<NA><NA>오락기46.2<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8485게임물배급업03_05_01_P3480000CDFF224112201000000120100419<NA>3폐업3폐업20141226<NA><NA><NA><NA><NA><NA>대구광역시 달성군 화원읍 천내리 **-*번지대구광역시 달성군 화원읍 비슬로***길 *-**<NA>우진통신20141226113613I2018-08-31 23:59:59.0<NA>335642.888399257161.284214게임물배급업유통관련업<NA><NA>퀴즈풀이101.4<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8586게임물배급업03_05_01_P3480000CDFF224112201900000120180703<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 다사읍 세천리 ****-*번지대구광역시 달성군 다사읍 세천남로 **, *,*층42930주식회사파코웨어20190926112045I2019-09-27 02:22:37.0<NA>333415.217405264526.649705게임물배급업유통관련업5<NA>모바일,온라인게임48.962<NA>교육연구시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자연녹지지역