Overview

Dataset statistics

Number of variables59
Number of observations91
Missing cells2257
Missing cells (%)42.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory45.8 KiB
Average record size in memory515.5 B

Variable types

Numeric12
Categorical20
Text6
Unsupported21

Dataset

Description22년10월_6270000_대구광역시_03_05_01_P_게임물배급업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000096818&dataSetDetailId=DDI_0000096853&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 (89.0%)Imbalance
상세영업상태코드 is highly imbalanced (50.9%)Imbalance
상세영업상태명 is highly imbalanced (50.9%)Imbalance
데이터갱신일자 is highly imbalanced (53.6%)Imbalance
주변환경명 is highly imbalanced (53.1%)Imbalance
통로너비 is highly imbalanced (50.0%)Imbalance
조명시설조도 is highly imbalanced (50.0%)Imbalance
노래방실수 is highly imbalanced (50.0%)Imbalance
청소년실수 is highly imbalanced (50.0%)Imbalance
총게임기수 is highly imbalanced (50.0%)Imbalance
폐업일자 has 67 (73.6%) missing valuesMissing
휴업시작일자 has 91 (100.0%) missing valuesMissing
휴업종료일자 has 91 (100.0%) missing valuesMissing
재개업일자 has 91 (100.0%) missing valuesMissing
소재지전화 has 62 (68.1%) missing valuesMissing
소재지면적 has 91 (100.0%) missing valuesMissing
소재지우편번호 has 78 (85.7%) missing valuesMissing
도로명전체주소 has 1 (1.1%) missing valuesMissing
도로명우편번호 has 27 (29.7%) missing valuesMissing
업태구분명 has 91 (100.0%) missing valuesMissing
좌표정보(X) has 3 (3.3%) missing valuesMissing
좌표정보(Y) has 3 (3.3%) missing valuesMissing
총층수 has 49 (53.8%) missing valuesMissing
시설면적 has 9 (9.9%) missing valuesMissing
지상층수 has 47 (51.6%) missing valuesMissing
비상계단여부 has 91 (100.0%) missing valuesMissing
비상구여부 has 91 (100.0%) missing valuesMissing
자동환기여부 has 91 (100.0%) missing valuesMissing
청소년실여부 has 91 (100.0%) missing valuesMissing
특수조명여부 has 91 (100.0%) missing valuesMissing
방음시설여부 has 91 (100.0%) missing valuesMissing
비디오재생기명 has 91 (100.0%) missing valuesMissing
조명시설유무 has 91 (100.0%) missing valuesMissing
음향시설여부 has 91 (100.0%) missing valuesMissing
편의시설여부 has 91 (100.0%) missing valuesMissing
소방시설여부 has 91 (100.0%) missing valuesMissing
기존게임업외업종명 has 91 (100.0%) missing valuesMissing
제공게임물명 has 91 (100.0%) missing valuesMissing
공연장형태구분명 has 91 (100.0%) missing valuesMissing
품목명 has 91 (100.0%) missing valuesMissing
최초등록시점 has 91 (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 6 (6.6%) zerosZeros
시설면적 has 1 (1.1%) zerosZeros
지상층수 has 6 (6.6%) zerosZeros

Reproduction

Analysis started2023-12-10 18:27:35.921185
Analysis finished2023-12-10 18:27:37.170656
Duration1.25 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct91
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46
Minimum1
Maximum91
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size951.0 B
2023-12-11T03:27:37.320509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.5
Q123.5
median46
Q368.5
95-th percentile86.5
Maximum91
Range90
Interquartile range (IQR)45

Descriptive statistics

Standard deviation26.41338
Coefficient of variation (CV)0.57420392
Kurtosis-1.2
Mean46
Median Absolute Deviation (MAD)23
Skewness0
Sum4186
Variance697.66667
MonotonicityStrictly increasing
2023-12-11T03:27:37.583288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.1%
59 1
 
1.1%
68 1
 
1.1%
67 1
 
1.1%
66 1
 
1.1%
65 1
 
1.1%
64 1
 
1.1%
63 1
 
1.1%
62 1
 
1.1%
61 1
 
1.1%
Other values (81) 81
89.0%
ValueCountFrequency (%)
1 1
1.1%
2 1
1.1%
3 1
1.1%
4 1
1.1%
5 1
1.1%
6 1
1.1%
7 1
1.1%
8 1
1.1%
9 1
1.1%
10 1
1.1%
ValueCountFrequency (%)
91 1
1.1%
90 1
1.1%
89 1
1.1%
88 1
1.1%
87 1
1.1%
86 1
1.1%
85 1
1.1%
84 1
1.1%
83 1
1.1%
82 1
1.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size860.0 B
게임물배급업
91 

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 91
100.0%

Length

2023-12-11T03:27:37.781251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:27:37.914070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
게임물배급업 91
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size860.0 B
03_05_01_P
91 

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 91
100.0%

Length

2023-12-11T03:27:38.074131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:27:38.234133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_05_01_p 91
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)8.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3445274.7
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size951.0 B
2023-12-11T03:27:38.378453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13430000
median3450000
Q33460000
95-th percentile3470000
Maximum3480000
Range70000
Interquartile range (IQR)30000

Descriptive statistics

Standard deviation20184.739
Coefficient of variation (CV)0.0058586733
Kurtosis-0.98969967
Mean3445274.7
Median Absolute Deviation (MAD)10000
Skewness-0.31441819
Sum3.1352 × 108
Variance4.0742369 × 108
MonotonicityIncreasing
2023-12-11T03:27:38.581579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3460000 20
22.0%
3440000 19
20.9%
3420000 13
14.3%
3470000 13
14.3%
3450000 12
13.2%
3410000 9
9.9%
3480000 3
 
3.3%
3430000 2
 
2.2%
ValueCountFrequency (%)
3410000 9
9.9%
3420000 13
14.3%
3430000 2
 
2.2%
3440000 19
20.9%
3450000 12
13.2%
3460000 20
22.0%
3470000 13
14.3%
3480000 3
 
3.3%
ValueCountFrequency (%)
3480000 3
 
3.3%
3470000 13
14.3%
3460000 20
22.0%
3450000 12
13.2%
3440000 19
20.9%
3430000 2
 
2.2%
3420000 13
14.3%
3410000 9
9.9%

관리번호
Text

Distinct47
Distinct (%)51.6%
Missing0
Missing (%)0.0%
Memory size860.0 B
2023-12-11T03:27:38.934274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1820
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 (%)23.1%

Sample

1st rowCDFF2241121999000002
2nd rowCDFF2241122003000001
3rd rowCDFF2241121999000001
4th rowCDFF2241122001000001
5th rowCDFF2241122021000001
ValueCountFrequency (%)
cdff2241122011000001 5
 
5.5%
cdff2241122022000001 5
 
5.5%
cdff2241122019000001 4
 
4.4%
cdff2241122010000001 4
 
4.4%
cdff2241122014000001 4
 
4.4%
cdff2241122015000001 4
 
4.4%
cdff2241122008000001 4
 
4.4%
cdff2241122012000001 3
 
3.3%
cdff2241122020000001 3
 
3.3%
cdff2241122001000001 2
 
2.2%
Other values (37) 53
58.2%
2023-12-11T03:27:39.534129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 576
31.6%
2 413
22.7%
1 310
17.0%
F 182
 
10.0%
4 100
 
5.5%
C 91
 
5.0%
D 91
 
5.0%
9 15
 
0.8%
3 14
 
0.8%
8 11
 
0.6%
Other values (3) 17
 
0.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1456
80.0%
Uppercase Letter 364
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 576
39.6%
2 413
28.4%
1 310
21.3%
4 100
 
6.9%
9 15
 
1.0%
3 14
 
1.0%
8 11
 
0.8%
7 8
 
0.5%
5 5
 
0.3%
6 4
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
F 182
50.0%
C 91
25.0%
D 91
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1456
80.0%
Latin 364
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 576
39.6%
2 413
28.4%
1 310
21.3%
4 100
 
6.9%
9 15
 
1.0%
3 14
 
1.0%
8 11
 
0.8%
7 8
 
0.5%
5 5
 
0.3%
6 4
 
0.3%
Latin
ValueCountFrequency (%)
F 182
50.0%
C 91
25.0%
D 91
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1820
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 576
31.6%
2 413
22.7%
1 310
17.0%
F 182
 
10.0%
4 100
 
5.5%
C 91
 
5.0%
D 91
 
5.0%
9 15
 
0.8%
3 14
 
0.8%
8 11
 
0.6%
Other values (3) 17
 
0.9%

인허가일자
Real number (ℝ)

Distinct86
Distinct (%)94.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20124091
Minimum19990618
Maximum20220826
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size951.0 B
2023-12-11T03:27:39.807876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19990618
5-th percentile20006118
Q120090568
median20121114
Q320170360
95-th percentile20215664
Maximum20220826
Range230208
Interquartile range (IQR)79792

Descriptive statistics

Standard deviation58104.638
Coefficient of variation (CV)0.0028873174
Kurtosis-0.10332212
Mean20124091
Median Absolute Deviation (MAD)39994
Skewness-0.4066812
Sum1.8312923 × 109
Variance3.376149 × 109
MonotonicityNot monotonic
2023-12-11T03:27:40.084840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20131024 3
 
3.3%
20011129 2
 
2.2%
20211111 2
 
2.2%
20160504 2
 
2.2%
19990618 1
 
1.1%
20080411 1
 
1.1%
20110615 1
 
1.1%
20110405 1
 
1.1%
20100409 1
 
1.1%
20090616 1
 
1.1%
Other values (76) 76
83.5%
ValueCountFrequency (%)
19990618 1
1.1%
19990623 1
1.1%
19991208 1
1.1%
20000807 1
1.1%
20001108 1
1.1%
20011129 2
2.2%
20020216 1
1.1%
20030719 1
1.1%
20060321 1
1.1%
20060425 1
1.1%
ValueCountFrequency (%)
20220826 1
1.1%
20220727 1
1.1%
20220518 1
1.1%
20220422 1
1.1%
20220216 1
1.1%
20211111 2
2.2%
20210607 1
1.1%
20210309 1
1.1%
20200605 1
1.1%
20200529 1
1.1%

인허가취소일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size860.0 B
<NA>
89 
20110302
 
1
20070726
 
1

Length

Max length8
Median length4
Mean length4.0879121
Min length4

Unique

Unique2 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 89
97.8%
20110302 1
 
1.1%
20070726 1
 
1.1%

Length

2023-12-11T03:27:40.339679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:27:40.556746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 89
97.8%
20110302 1
 
1.1%
20070726 1
 
1.1%

영업상태구분코드
Categorical

Distinct3
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size860.0 B
1
65 
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 65
71.4%
3 21
 
23.1%
4 5
 
5.5%

Length

2023-12-11T03:27:40.752443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:27:40.933005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 65
71.4%
3 21
 
23.1%
4 5
 
5.5%

영업상태명
Categorical

Distinct3
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size860.0 B
영업/정상
65 
폐업
21 
취소/말소/만료/정지/중지
 
5

Length

Max length14
Median length5
Mean length4.8021978
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 65
71.4%
폐업 21
 
23.1%
취소/말소/만료/정지/중지 5
 
5.5%

Length

2023-12-11T03:27:41.130245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:27:41.335088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 65
71.4%
폐업 21
 
23.1%
취소/말소/만료/정지/중지 5
 
5.5%

상세영업상태코드
Categorical

IMBALANCE 

Distinct5
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Memory size860.0 B
13
65 
3
21 
35
 
3
31
 
1
30
 
1

Length

Max length2
Median length2
Mean length1.7692308
Min length1

Unique

Unique2 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
13 65
71.4%
3 21
 
23.1%
35 3
 
3.3%
31 1
 
1.1%
30 1
 
1.1%

Length

2023-12-11T03:27:41.549074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:27:41.742024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 65
71.4%
3 21
 
23.1%
35 3
 
3.3%
31 1
 
1.1%
30 1
 
1.1%

상세영업상태명
Categorical

IMBALANCE 

Distinct5
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Memory size860.0 B
영업중
65 
폐업
21 
직권말소
 
3
등록취소
 
1
허가취소
 
1

Length

Max length4
Median length3
Mean length2.8241758
Min length2

Unique

Unique2 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 65
71.4%
폐업 21
 
23.1%
직권말소 3
 
3.3%
등록취소 1
 
1.1%
허가취소 1
 
1.1%

Length

2023-12-11T03:27:41.988697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:27:42.211106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 65
71.4%
폐업 21
 
23.1%
직권말소 3
 
3.3%
등록취소 1
 
1.1%
허가취소 1
 
1.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct24
Distinct (%)100.0%
Missing67
Missing (%)73.6%
Infinite0
Infinite (%)0.0%
Mean20132368
Minimum20050912
Maximum20211029
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size951.0 B
2023-12-11T03:27:42.426055image/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
2023-12-11T03:27:42.669063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
20101231 1
 
1.1%
20141226 1
 
1.1%
20110704 1
 
1.1%
20140808 1
 
1.1%
20090320 1
 
1.1%
20160329 1
 
1.1%
20180720 1
 
1.1%
20110210 1
 
1.1%
20191216 1
 
1.1%
20150827 1
 
1.1%
Other values (14) 14
 
15.4%
(Missing) 67
73.6%
ValueCountFrequency (%)
20050912 1
1.1%
20070313 1
1.1%
20070703 1
1.1%
20080418 1
1.1%
20090320 1
1.1%
20101123 1
1.1%
20101231 1
1.1%
20110210 1
1.1%
20110704 1
1.1%
20120131 1
1.1%
ValueCountFrequency (%)
20211029 1
1.1%
20210305 1
1.1%
20201204 1
1.1%
20191216 1
1.1%
20180720 1
1.1%
20161123 1
1.1%
20160329 1
1.1%
20150827 1
1.1%
20141226 1
1.1%
20140808 1
1.1%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing91
Missing (%)100.0%
Memory size951.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing91
Missing (%)100.0%
Memory size951.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing91
Missing (%)100.0%
Memory size951.0 B

소재지전화
Text

MISSING 

Distinct29
Distinct (%)100.0%
Missing62
Missing (%)68.1%
Memory size860.0 B
2023-12-11T03:27:42.991884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.655172
Min length8

Characters and Unicode

Total characters309
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%
053-652-1971 1
 
3.3%
0536568480 1
 
3.3%
582-7201 1
 
3.3%
2019994 1
 
3.3%
053 1
 
3.3%
070-8813-8441 1
 
3.3%
053-753-2729 1
 
3.3%
053-746-7740 1
 
3.3%
Other values (20) 20
66.7%
2023-12-11T03:27:43.479724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 44
14.2%
0 40
12.9%
3 36
11.7%
- 35
11.3%
7 30
9.7%
6 27
8.7%
1 26
8.4%
2 22
7.1%
8 15
 
4.9%
4 13
 
4.2%
Other values (4) 21
6.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 265
85.8%
Dash Punctuation 35
 
11.3%
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 40
15.1%
3 36
13.6%
7 30
11.3%
6 27
10.2%
1 26
9.8%
2 22
8.3%
8 15
 
5.7%
4 13
 
4.9%
9 12
 
4.5%
Dash Punctuation
ValueCountFrequency (%)
- 35
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 309
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 44
14.2%
0 40
12.9%
3 36
11.7%
- 35
11.3%
7 30
9.7%
6 27
8.7%
1 26
8.4%
2 22
7.1%
8 15
 
4.9%
4 13
 
4.2%
Other values (4) 21
6.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 309
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 44
14.2%
0 40
12.9%
3 36
11.7%
- 35
11.3%
7 30
9.7%
6 27
8.7%
1 26
8.4%
2 22
7.1%
8 15
 
4.9%
4 13
 
4.2%
Other values (4) 21
6.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing91
Missing (%)100.0%
Memory size951.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)100.0%
Missing78
Missing (%)85.7%
Infinite0
Infinite (%)0.0%
Mean703940.69
Minimum700170
Maximum706840
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size951.0 B
2023-12-11T03:27:43.699059image/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
2023-12-11T03:27:43.910105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
700170 1
 
1.1%
700809 1
 
1.1%
700423 1
 
1.1%
700411 1
 
1.1%
700421 1
 
1.1%
705817 1
 
1.1%
706822 1
 
1.1%
706801 1
 
1.1%
706840 1
 
1.1%
706823 1
 
1.1%
Other values (3) 3
 
3.3%
(Missing) 78
85.7%
ValueCountFrequency (%)
700170 1
1.1%
700411 1
1.1%
700421 1
1.1%
700423 1
1.1%
700809 1
1.1%
704801 1
1.1%
704921 1
1.1%
705817 1
1.1%
706170 1
1.1%
706801 1
1.1%
ValueCountFrequency (%)
706840 1
1.1%
706823 1
1.1%
706822 1
1.1%
706801 1
1.1%
706170 1
1.1%
705817 1
1.1%
704921 1
1.1%
704801 1
1.1%
700809 1
1.1%
700423 1
1.1%

소재지전체주소
Text

Distinct84
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Memory size860.0 B
2023-12-11T03:27:44.305367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length36
Mean length25.824176
Min length16

Characters and Unicode

Total characters2350
Distinct characters150
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

Unique77 ?
Unique (%)84.6%

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 91
20.4%
번지 73
16.4%
수성구 20
 
4.5%
호 20
 
4.5%
20
 
4.5%
남구 19
 
4.3%
달서구 13
 
2.9%
동구 13
 
2.9%
대명동 13
 
2.9%
북구 12
 
2.7%
Other values (86) 152
34.1%
2023-12-11T03:27:44.988751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 475
20.2%
433
18.4%
구 189
 
8.0%
대 122
 
5.2%
동 111
 
4.7%
시 94
 
4.0%
역 93
 
4.0%
광 92
 
3.9%
지 83
 
3.5%
번 73
 
3.1%
Other values (140) 585
24.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1357
57.7%
Other Punctuation 475
 
20.2%
Space Separator 433
 
18.4%
Dash Punctuation 71
 
3.0%
Open Punctuation 5
 
0.2%
Close Punctuation 5
 
0.2%
Uppercase Letter 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 189
13.9%
대 122
 
9.0%
동 111
 
8.2%
시 94
 
6.9%
역 93
 
6.9%
광 92
 
6.8%
지 83
 
6.1%
번 73
 
5.4%
성 30
 
2.2%
호 21
 
1.5%
Other values (131) 449
33.1%
Uppercase Letter
ValueCountFrequency (%)
B 1
25.0%
H 1
25.0%
L 1
25.0%
D 1
25.0%
Other Punctuation
ValueCountFrequency (%)
* 475
100.0%
Space Separator
ValueCountFrequency (%)
433
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 71
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1357
57.7%
Common 989
42.1%
Latin 4
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 189
13.9%
대 122
 
9.0%
동 111
 
8.2%
시 94
 
6.9%
역 93
 
6.9%
광 92
 
6.8%
지 83
 
6.1%
번 73
 
5.4%
성 30
 
2.2%
호 21
 
1.5%
Other values (131) 449
33.1%
Common
ValueCountFrequency (%)
* 475
48.0%
433
43.8%
- 71
 
7.2%
( 5
 
0.5%
) 5
 
0.5%
Latin
ValueCountFrequency (%)
B 1
25.0%
H 1
25.0%
L 1
25.0%
D 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1357
57.7%
ASCII 993
42.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 475
47.8%
433
43.6%
- 71
 
7.2%
( 5
 
0.5%
) 5
 
0.5%
B 1
 
0.1%
H 1
 
0.1%
L 1
 
0.1%
D 1
 
0.1%
Hangul
ValueCountFrequency (%)
구 189
13.9%
대 122
 
9.0%
동 111
 
8.2%
시 94
 
6.9%
역 93
 
6.9%
광 92
 
6.8%
지 83
 
6.1%
번 73
 
5.4%
성 30
 
2.2%
호 21
 
1.5%
Other values (131) 449
33.1%

도로명전체주소
Text

MISSING 

Distinct86
Distinct (%)95.6%
Missing1
Missing (%)1.1%
Memory size860.0 B
2023-12-11T03:27:45.520640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length44
Mean length33.133333
Min length21

Characters and Unicode

Total characters2982
Distinct characters188
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

Unique83 ?
Unique (%)92.2%

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 (%)
92
 
16.1%
대구광역시 90
 
15.7%
호 37
 
6.5%
층 32
 
5.6%
남구 19
 
3.3%
수성구 19
 
3.3%
동구 13
 
2.3%
달서구 13
 
2.3%
북구 12
 
2.1%
대명동 11
 
1.9%
Other values (154) 234
40.9%
2023-12-11T03:27:46.387801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
506
17.0%
* 502
16.8%
구 202
 
6.8%
대 145
 
4.9%
동 134
 
4.5%
시 95
 
3.2%
광 93
 
3.1%
, 93
 
3.1%
역 92
 
3.1%
) 90
 
3.0%
Other values (178) 1030
34.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1680
56.3%
Other Punctuation 595
 
20.0%
Space Separator 506
 
17.0%
Close Punctuation 90
 
3.0%
Open Punctuation 90
 
3.0%
Dash Punctuation 15
 
0.5%
Uppercase Letter 6
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 202
 
12.0%
대 145
 
8.6%
동 134
 
8.0%
시 95
 
5.7%
광 93
 
5.5%
역 92
 
5.5%
로 87
 
5.2%
호 42
 
2.5%
길 41
 
2.4%
성 40
 
2.4%
Other values (166) 709
42.2%
Uppercase Letter
ValueCountFrequency (%)
B 1
16.7%
D 1
16.7%
L 1
16.7%
H 1
16.7%
T 1
16.7%
I 1
16.7%
Other Punctuation
ValueCountFrequency (%)
* 502
84.4%
, 93
 
15.6%
Space Separator
ValueCountFrequency (%)
506
100.0%
Close Punctuation
ValueCountFrequency (%)
) 90
100.0%
Open Punctuation
ValueCountFrequency (%)
( 90
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1680
56.3%
Common 1296
43.5%
Latin 6
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 202
 
12.0%
대 145
 
8.6%
동 134
 
8.0%
시 95
 
5.7%
광 93
 
5.5%
역 92
 
5.5%
로 87
 
5.2%
호 42
 
2.5%
길 41
 
2.4%
성 40
 
2.4%
Other values (166) 709
42.2%
Common
ValueCountFrequency (%)
506
39.0%
* 502
38.7%
, 93
 
7.2%
) 90
 
6.9%
( 90
 
6.9%
- 15
 
1.2%
Latin
ValueCountFrequency (%)
B 1
16.7%
D 1
16.7%
L 1
16.7%
H 1
16.7%
T 1
16.7%
I 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1680
56.3%
ASCII 1302
43.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
506
38.9%
* 502
38.6%
, 93
 
7.1%
) 90
 
6.9%
( 90
 
6.9%
- 15
 
1.2%
B 1
 
0.1%
D 1
 
0.1%
L 1
 
0.1%
H 1
 
0.1%
Other values (2) 2
 
0.2%
Hangul
ValueCountFrequency (%)
구 202
 
12.0%
대 145
 
8.6%
동 134
 
8.0%
시 95
 
5.7%
광 93
 
5.5%
역 92
 
5.5%
로 87
 
5.2%
호 42
 
2.5%
길 41
 
2.4%
성 40
 
2.4%
Other values (166) 709
42.2%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct53
Distinct (%)82.8%
Missing27
Missing (%)29.7%
Infinite0
Infinite (%)0.0%
Mean83444.719
Minimum41108
Maximum705831
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size951.0 B
2023-12-11T03:27:46.698329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41108
5-th percentile41173.3
Q141514.75
median42174.5
Q342473
95-th percentile603875.6
Maximum705831
Range664723
Interquartile range (IQR)958.25

Descriptive statistics

Standard deviation161719.21
Coefficient of variation (CV)1.9380401
Kurtosis12.08238
Mean83444.719
Median Absolute Deviation (MAD)551.5
Skewness3.702072
Sum5340462
Variance2.6153102 × 1010
MonotonicityNot monotonic
2023-12-11T03:27:46.952814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
42403 6
 
6.6%
41260 4
 
4.4%
41256 2
 
2.2%
41243 2
 
2.2%
41125 2
 
2.2%
42145 1
 
1.1%
42053 1
 
1.1%
42734 1
 
1.1%
42011 1
 
1.1%
42060 1
 
1.1%
Other values (43) 43
47.3%
(Missing) 27
29.7%
ValueCountFrequency (%)
41108 1
 
1.1%
41125 2
2.2%
41167 1
 
1.1%
41209 1
 
1.1%
41243 2
2.2%
41256 2
2.2%
41260 4
4.4%
41450 1
 
1.1%
41503 1
 
1.1%
41505 1
 
1.1%
ValueCountFrequency (%)
705831 1
1.1%
705816 1
1.1%
704940 1
1.1%
702866 1
1.1%
42930 1
1.1%
42915 1
1.1%
42781 1
1.1%
42764 1
1.1%
42756 1
1.1%
42734 1
1.1%

사업장명
Text

Distinct88
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size860.0 B
2023-12-11T03:27:47.369812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length7.0659341
Min length2

Characters and Unicode

Total characters643
Distinct characters173
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

Unique86 ?
Unique (%)94.5%

Sample

1st row대명전자
2nd row(주)신디벨리
3rd row이지AMUSE
4th row주식회사 코그
5th row주식회사 원블레이즈
ValueCountFrequency (%)
주식회사 11
 
9.8%
다모아 3
 
2.7%
게임아시아 2
 
1.8%
휴즈넷 2
 
1.8%
스튜디오 1
 
0.9%
리더스원 1
 
0.9%
다낸다전자 1
 
0.9%
두산전자 1
 
0.9%
세븐pc 1
 
0.9%
골프 1
 
0.9%
Other values (88) 88
78.6%
2023-12-11T03:27:48.056073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 44
 
6.8%
) 33
 
5.1%
( 33
 
5.1%
이 22
 
3.4%
21
 
3.3%
스 19
 
3.0%
트 19
 
3.0%
사 17
 
2.6%
식 15
 
2.3%
프 14
 
2.2%
Other values (163) 406
63.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 535
83.2%
Close Punctuation 33
 
5.1%
Open Punctuation 33
 
5.1%
Space Separator 21
 
3.3%
Uppercase Letter 16
 
2.5%
Decimal Number 4
 
0.6%
Lowercase Letter 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 44
 
8.2%
이 22
 
4.1%
스 19
 
3.6%
트 19
 
3.6%
사 17
 
3.2%
식 15
 
2.8%
프 14
 
2.6%
회 14
 
2.6%
디 12
 
2.2%
아 12
 
2.2%
Other values (143) 347
64.9%
Uppercase Letter
ValueCountFrequency (%)
C 2
12.5%
O 2
12.5%
S 2
12.5%
V 1
 
6.2%
Y 1
 
6.2%
P 1
 
6.2%
G 1
 
6.2%
D 1
 
6.2%
E 1
 
6.2%
U 1
 
6.2%
Other values (3) 3
18.8%
Decimal Number
ValueCountFrequency (%)
2 2
50.0%
4 1
25.0%
1 1
25.0%
Close Punctuation
ValueCountFrequency (%)
) 33
100.0%
Open Punctuation
ValueCountFrequency (%)
( 33
100.0%
Space Separator
ValueCountFrequency (%)
21
100.0%
Lowercase Letter
ValueCountFrequency (%)
u 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 535
83.2%
Common 91
 
14.2%
Latin 17
 
2.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 44
 
8.2%
이 22
 
4.1%
스 19
 
3.6%
트 19
 
3.6%
사 17
 
3.2%
식 15
 
2.8%
프 14
 
2.6%
회 14
 
2.6%
디 12
 
2.2%
아 12
 
2.2%
Other values (143) 347
64.9%
Latin
ValueCountFrequency (%)
C 2
11.8%
O 2
11.8%
S 2
11.8%
V 1
 
5.9%
Y 1
 
5.9%
u 1
 
5.9%
P 1
 
5.9%
G 1
 
5.9%
D 1
 
5.9%
E 1
 
5.9%
Other values (4) 4
23.5%
Common
ValueCountFrequency (%)
) 33
36.3%
( 33
36.3%
21
23.1%
2 2
 
2.2%
4 1
 
1.1%
1 1
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 535
83.2%
ASCII 108
 
16.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 44
 
8.2%
이 22
 
4.1%
스 19
 
3.6%
트 19
 
3.6%
사 17
 
3.2%
식 15
 
2.8%
프 14
 
2.6%
회 14
 
2.6%
디 12
 
2.2%
아 12
 
2.2%
Other values (143) 347
64.9%
ASCII
ValueCountFrequency (%)
) 33
30.6%
( 33
30.6%
21
19.4%
C 2
 
1.9%
O 2
 
1.9%
2 2
 
1.9%
S 2
 
1.9%
4 1
 
0.9%
1 1
 
0.9%
V 1
 
0.9%
Other values (10) 10
 
9.3%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct91
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.014889 × 1013
Minimum2.0070703 × 1013
Maximum2.0221013 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size951.0 B
2023-12-11T03:27:48.314883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0070703 × 1013
5-th percentile2.0070808 × 1013
Q12.0110868 × 1013
median2.0141226 × 1013
Q32.0190564 × 1013
95-th percentile2.0220516 × 1013
Maximum2.0221013 × 1013
Range1.5031001 × 1011
Interquartile range (IQR)7.9695988 × 1010

Descriptive statistics

Standard deviation4.6672451 × 1010
Coefficient of variation (CV)0.0023163782
Kurtosis-1.0811354
Mean2.014889 × 1013
Median Absolute Deviation (MAD)3.1122999 × 1010
Skewness-0.0002622026
Sum1.833549 × 1015
Variance2.1783176 × 1021
MonotonicityNot monotonic
2023-12-11T03:27:48.988972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20070808170416 1
 
1.1%
20150827152721 1
 
1.1%
20110405164612 1
 
1.1%
20100409172547 1
 
1.1%
20090826155216 1
 
1.1%
20090520170630 1
 
1.1%
20080827105508 1
 
1.1%
20080429165137 1
 
1.1%
20080411094347 1
 
1.1%
20080129170130 1
 
1.1%
Other values (81) 81
89.0%
ValueCountFrequency (%)
20070703163137 1
1.1%
20070726130836 1
1.1%
20070808163439 1
1.1%
20070808164038 1
1.1%
20070808165256 1
1.1%
20070808170416 1
1.1%
20071004101300 1
1.1%
20080129170130 1
1.1%
20080411094347 1
1.1%
20080429165137 1
1.1%
ValueCountFrequency (%)
20221013173639 1
1.1%
20220907095405 1
1.1%
20220826091330 1
1.1%
20220727172407 1
1.1%
20220518142041 1
1.1%
20220513115242 1
1.1%
20220422103703 1
1.1%
20220217124746 1
1.1%
20220216163341 1
1.1%
20211206103022 1
1.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size860.0 B
I
77 
U
14 

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 77
84.6%
U 14
 
15.4%

Length

2023-12-11T03:27:49.230203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:27:49.414391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 77
84.6%
u 14
 
15.4%

데이터갱신일자
Categorical

IMBALANCE 

Distinct27
Distinct (%)29.7%
Missing0
Missing (%)0.0%
Memory size860.0 B
2018-08-31 23:59:59.0
65 
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 (22)
22 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique26 ?
Unique (%)28.6%

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 65
71.4%
2019-04-14 02:40:00.0 1
 
1.1%
2021-06-09 00:22:55.0 1
 
1.1%
2020-05-06 00:23:19.0 1
 
1.1%
2021-03-07 02:40:00.0 1
 
1.1%
2021-10-31 02:40:00.0 1
 
1.1%
2022-02-19 02:40:00.0 1
 
1.1%
2021-01-27 02:40:00.0 1
 
1.1%
2022-02-18 00:22:37.0 1
 
1.1%
2021-12-08 02:40:00.0 1
 
1.1%
Other values (17) 17
 
18.7%

Length

2023-12-11T03:27:49.571615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 65
35.7%
23:59:59.0 65
35.7%
02:40:00.0 14
 
7.7%
2019-09-27 1
 
0.5%
2019-12-18 1
 
0.5%
00:22:33.0 1
 
0.5%
2019-06-27 1
 
0.5%
2022-10-15 1
 
0.5%
2019-05-04 1
 
0.5%
02:20:55.0 1
 
0.5%
Other values (31) 31
17.0%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing91
Missing (%)100.0%
Memory size951.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct78
Distinct (%)88.6%
Missing3
Missing (%)3.3%
Infinite0
Infinite (%)0.0%
Mean343721.58
Minimum331916.55
Maximum354755.03
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size951.0 B
2023-12-11T03:27:49.815733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum331916.55
5-th percentile335016.41
Q1342566.72
median344414.06
Q3346176.99
95-th percentile348817.17
Maximum354755.03
Range22838.483
Interquartile range (IQR)3610.2628

Descriptive statistics

Standard deviation4369.8582
Coefficient of variation (CV)0.012713366
Kurtosis0.89680279
Mean343721.58
Median Absolute Deviation (MAD)1909.2628
Skewness-0.3937398
Sum30247499
Variance19095661
MonotonicityNot monotonic
2023-12-11T03:27:50.162469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
342774.766132 3
 
3.3%
342632.844135 3
 
3.3%
346677.868181 2
 
2.2%
345641.188638 2
 
2.2%
345435.631983 2
 
2.2%
346969.129572 2
 
2.2%
353862.969131 2
 
2.2%
343318.955676 2
 
2.2%
346451.369675 1
 
1.1%
348898.124525 1
 
1.1%
Other values (68) 68
74.7%
(Missing) 3
 
3.3%
ValueCountFrequency (%)
331916.550581 1
1.1%
333415.217405 1
1.1%
334345.322515 1
1.1%
334875.549386 1
1.1%
334920.933624 1
1.1%
335193.722935 1
1.1%
335642.888399 1
1.1%
335806.191873 1
1.1%
336178.174639 1
1.1%
337678.732425 1
1.1%
ValueCountFrequency (%)
354755.033317 1
1.1%
353862.969131 2
2.2%
352725.021343 1
1.1%
348898.124525 1
1.1%
348666.821547 1
1.1%
348665.873375 1
1.1%
348070.291081 1
1.1%
348032.167321 1
1.1%
347464.052033 1
1.1%
346969.129572 2
2.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct78
Distinct (%)88.6%
Missing3
Missing (%)3.3%
Infinite0
Infinite (%)0.0%
Mean263273.29
Minimum257161.28
Maximum271327.71
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size951.0 B
2023-12-11T03:27:50.458208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum257161.28
5-th percentile259637.84
Q1261409.02
median262976.45
Q3264770.9
95-th percentile268030.68
Maximum271327.71
Range14166.422
Interquartile range (IQR)3361.8823

Descriptive statistics

Standard deviation2622.0607
Coefficient of variation (CV)0.0099594632
Kurtosis0.74196933
Mean263273.29
Median Absolute Deviation (MAD)1686.8217
Skewness0.52967698
Sum23168050
Variance6875202.2
MonotonicityNot monotonic
2023-12-11T03:27:50.737960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
262912.887933 3
 
3.3%
262643.902173 3
 
3.3%
264714.344433 2
 
2.2%
261397.463751 2
 
2.2%
259801.351093 2
 
2.2%
265145.040121 2
 
2.2%
265380.272888 2
 
2.2%
266167.784875 2
 
2.2%
260454.423978 1
 
1.1%
264059.190085 1
 
1.1%
Other values (68) 68
74.7%
(Missing) 3
 
3.3%
ValueCountFrequency (%)
257161.284214 1
1.1%
258226.476813 1
1.1%
258570.98584 1
1.1%
259052.115282 1
1.1%
259549.788813 1
1.1%
259801.351093 2
2.2%
260244.108497 1
1.1%
260454.423978 1
1.1%
260479.646796 1
1.1%
260526.965278 1
1.1%
ValueCountFrequency (%)
271327.706448 1
1.1%
270672.162723 1
1.1%
269009.174969 1
1.1%
268476.874903 1
1.1%
268253.830253 1
1.1%
267616.268895 1
1.1%
266987.666828 1
1.1%
266601.164356 1
1.1%
266264.147834 1
1.1%
266167.784875 2
2.2%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size860.0 B
게임물배급업
91 

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 91
100.0%

Length

2023-12-11T03:27:51.028060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:27:51.236227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
게임물배급업 91
100.0%

문화사업자구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size860.0 B
유통관련업
91 

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 91
100.0%

Length

2023-12-11T03:27:51.428163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:27:51.596864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 91
100.0%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)28.6%
Missing49
Missing (%)53.8%
Infinite0
Infinite (%)0.0%
Mean4.1190476
Minimum0
Maximum20
Zeros6
Zeros (%)6.6%
Negative0
Negative (%)0.0%
Memory size951.0 B
2023-12-11T03:27:51.780196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median4
Q35
95-th percentile12.95
Maximum20
Range20
Interquartile range (IQR)3

Descriptive statistics

Standard deviation4.1625648
Coefficient of variation (CV)1.0105649
Kurtosis5.2411694
Mean4.1190476
Median Absolute Deviation (MAD)2
Skewness2.1209501
Sum173
Variance17.326945
MonotonicityNot monotonic
2023-12-11T03:27:52.015998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
2 11
 
12.1%
4 9
 
9.9%
0 6
 
6.6%
5 6
 
6.6%
1 2
 
2.2%
6 2
 
2.2%
20 1
 
1.1%
8 1
 
1.1%
15 1
 
1.1%
3 1
 
1.1%
Other values (2) 2
 
2.2%
(Missing) 49
53.8%
ValueCountFrequency (%)
0 6
6.6%
1 2
 
2.2%
2 11
12.1%
3 1
 
1.1%
4 9
9.9%
5 6
6.6%
6 2
 
2.2%
8 1
 
1.1%
12 1
 
1.1%
13 1
 
1.1%
ValueCountFrequency (%)
20 1
 
1.1%
15 1
 
1.1%
13 1
 
1.1%
12 1
 
1.1%
8 1
 
1.1%
6 2
 
2.2%
5 6
6.6%
4 9
9.9%
3 1
 
1.1%
2 11
12.1%

주변환경명
Categorical

IMBALANCE 

Distinct6
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Memory size860.0 B
<NA>
70 
기타
10 
주택가주변
 
5
아파트지역
 
4
학교정화(절대)
 
1

Length

Max length8
Median length4
Mean length3.967033
Min length2

Unique

Unique2 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 70
76.9%
기타 10
 
11.0%
주택가주변 5
 
5.5%
아파트지역 4
 
4.4%
학교정화(절대) 1
 
1.1%
학교정화(상대) 1
 
1.1%

Length

2023-12-11T03:27:52.282250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:27:52.498807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 70
76.9%
기타 10
 
11.0%
주택가주변 5
 
5.5%
아파트지역 4
 
4.4%
학교정화(절대 1
 
1.1%
학교정화(상대 1
 
1.1%

제작취급품목내용
Text

Distinct58
Distinct (%)63.7%
Missing0
Missing (%)0.0%
Memory size860.0 B
2023-12-11T03:27:52.901567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length11
Mean length6.3736264
Min length2

Characters and Unicode

Total characters580
Distinct characters89
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

Unique46 ?
Unique (%)50.5%

Sample

1st row게임물
2nd row게임물
3rd row게임물
4th row게임물
5th row온라인게임
ValueCountFrequency (%)
게임 14
 
11.3%
게임물 12
 
9.7%
모바일게임 6
 
4.8%
온라인게임 6
 
4.8%
아케이드 5
 
4.0%
모바일 5
 
4.0%
아케이드게임 4
 
3.2%
온라인 3
 
2.4%
보드게임 3
 
2.4%
스마트폰게임 3
 
2.4%
Other values (51) 63
50.8%
2023-12-11T03:27:53.612613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
임 82
 
14.1%
게 81
 
14.0%
33
 
5.7%
온 17
 
2.9%
라 17
 
2.9%
인 17
 
2.9%
일 17
 
2.9%
이 17
 
2.9%
드 17
 
2.9%
물 16
 
2.8%
Other values (79) 266
45.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 500
86.2%
Space Separator 33
 
5.7%
Uppercase Letter 18
 
3.1%
Other Punctuation 15
 
2.6%
Lowercase Letter 10
 
1.7%
Open Punctuation 2
 
0.3%
Close Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
임 82
16.4%
게 81
 
16.2%
온 17
 
3.4%
라 17
 
3.4%
인 17
 
3.4%
일 17
 
3.4%
이 17
 
3.4%
드 17
 
3.4%
물 16
 
3.2%
모 16
 
3.2%
Other values (63) 203
40.6%
Lowercase Letter
ValueCountFrequency (%)
a 3
30.0%
p 2
20.0%
i 2
20.0%
l 1
 
10.0%
y 1
 
10.0%
c 1
 
10.0%
Uppercase Letter
ValueCountFrequency (%)
R 5
27.8%
V 5
27.8%
C 4
22.2%
P 3
16.7%
D 1
 
5.6%
Other Punctuation
ValueCountFrequency (%)
, 14
93.3%
/ 1
 
6.7%
Space Separator
ValueCountFrequency (%)
33
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 500
86.2%
Common 52
 
9.0%
Latin 28
 
4.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
임 82
16.4%
게 81
 
16.2%
온 17
 
3.4%
라 17
 
3.4%
인 17
 
3.4%
일 17
 
3.4%
이 17
 
3.4%
드 17
 
3.4%
물 16
 
3.2%
모 16
 
3.2%
Other values (63) 203
40.6%
Latin
ValueCountFrequency (%)
R 5
17.9%
V 5
17.9%
C 4
14.3%
P 3
10.7%
a 3
10.7%
p 2
 
7.1%
i 2
 
7.1%
l 1
 
3.6%
y 1
 
3.6%
D 1
 
3.6%
Common
ValueCountFrequency (%)
33
63.5%
, 14
26.9%
( 2
 
3.8%
) 2
 
3.8%
/ 1
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 500
86.2%
ASCII 80
 
13.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
임 82
16.4%
게 81
 
16.2%
온 17
 
3.4%
라 17
 
3.4%
인 17
 
3.4%
일 17
 
3.4%
이 17
 
3.4%
드 17
 
3.4%
물 16
 
3.2%
모 16
 
3.2%
Other values (63) 203
40.6%
ASCII
ValueCountFrequency (%)
33
41.2%
, 14
17.5%
R 5
 
6.2%
V 5
 
6.2%
C 4
 
5.0%
P 3
 
3.8%
a 3
 
3.8%
( 2
 
2.5%
) 2
 
2.5%
p 2
 
2.5%
Other values (6) 7
 
8.8%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct75
Distinct (%)91.5%
Missing9
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean95.550488
Minimum0
Maximum840.07
Zeros1
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size951.0 B
2023-12-11T03:27:53.889733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.115
Q126.6325
median63.025
Q3107.145
95-th percentile272.1745
Maximum840.07
Range840.07
Interquartile range (IQR)80.5125

Descriptive statistics

Standard deviation116.61772
Coefficient of variation (CV)1.2204828
Kurtosis19.871927
Mean95.550488
Median Absolute Deviation (MAD)41.2
Skewness3.6311051
Sum7835.14
Variance13599.694
MonotonicityNot monotonic
2023-12-11T03:27:54.139015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.0 4
 
4.4%
33.0 3
 
3.3%
105.6 2
 
2.2%
30.0 2
 
2.2%
43.04 1
 
1.1%
140.92 1
 
1.1%
100.0 1
 
1.1%
66.1 1
 
1.1%
310.63 1
 
1.1%
28.19 1
 
1.1%
Other values (65) 65
71.4%
(Missing) 9
 
9.9%
ValueCountFrequency (%)
0.0 1
 
1.1%
1.0 4
4.4%
3.3 1
 
1.1%
8.0 1
 
1.1%
9.0 1
 
1.1%
10.11 1
 
1.1%
12.0 1
 
1.1%
13.44 1
 
1.1%
14.4 1
 
1.1%
15.0 1
 
1.1%
ValueCountFrequency (%)
840.07 1
1.1%
342.18 1
1.1%
310.63 1
1.1%
307.65 1
1.1%
272.71 1
1.1%
262.0 1
1.1%
232.18 1
1.1%
232.02 1
1.1%
214.58 1
1.1%
212.62 1
1.1%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)18.2%
Missing47
Missing (%)51.6%
Infinite0
Infinite (%)0.0%
Mean2.3409091
Minimum0
Maximum9
Zeros6
Zeros (%)6.6%
Negative0
Negative (%)0.0%
Memory size951.0 B
2023-12-11T03:27:54.393576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile7.55
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.1234371
Coefficient of variation (CV)0.90709935
Kurtosis2.5283669
Mean2.3409091
Median Absolute Deviation (MAD)1
Skewness1.5444702
Sum103
Variance4.5089852
MonotonicityNot monotonic
2023-12-11T03:27:54.588331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 13
 
14.3%
2 9
 
9.9%
3 7
 
7.7%
0 6
 
6.6%
4 4
 
4.4%
8 2
 
2.2%
5 2
 
2.2%
9 1
 
1.1%
(Missing) 47
51.6%
ValueCountFrequency (%)
0 6
6.6%
1 13
14.3%
2 9
9.9%
3 7
7.7%
4 4
 
4.4%
5 2
 
2.2%
8 2
 
2.2%
9 1
 
1.1%
ValueCountFrequency (%)
9 1
 
1.1%
8 2
 
2.2%
5 2
 
2.2%
4 4
 
4.4%
3 7
7.7%
2 9
9.9%
1 13
14.3%
0 6
6.6%

지하층수
Categorical

Distinct3
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size860.0 B
<NA>
75 
0
9 
1
 
7

Length

Max length4
Median length4
Mean length3.4725275
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
82.4%
0 9
 
9.9%
1 7
 
7.7%

Length

2023-12-11T03:27:54.838473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:27:55.013901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 75
82.4%
0 9
 
9.9%
1 7
 
7.7%

건물용도명
Categorical

Distinct9
Distinct (%)9.9%
Missing0
Missing (%)0.0%
Memory size860.0 B
<NA>
62 
근린생활시설
13 
사무실
 
5
단독주택
 
4
교육연구시설
 
3
Other values (4)
 
4

Length

Max length15
Median length4
Mean length4.4065934
Min length2

Unique

Unique4 ?
Unique (%)4.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 62
68.1%
근린생활시설 13
 
14.3%
사무실 5
 
5.5%
단독주택 4
 
4.4%
교육연구시설 3
 
3.3%
판매시설 1
 
1.1%
다가구용 주택(공동주택적용) 1
 
1.1%
기타 1
 
1.1%
다세대주택 1
 
1.1%

Length

2023-12-11T03:27:55.229730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:27:55.473759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 62
67.4%
근린생활시설 13
 
14.1%
사무실 5
 
5.4%
단독주택 4
 
4.3%
교육연구시설 3
 
3.3%
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 (%)2.2%
Missing0
Missing (%)0.0%
Memory size860.0 B
<NA>
81 
0
10 

Length

Max length4
Median length4
Mean length3.6703297
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> 81
89.0%
0 10
 
11.0%

Length

2023-12-11T03:27:55.742961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:27:55.954144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 81
89.0%
0 10
 
11.0%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size860.0 B
<NA>
81 
0
10 

Length

Max length4
Median length4
Mean length3.6703297
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> 81
89.0%
0 10
 
11.0%

Length

2023-12-11T03:27:56.154696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:27:56.337222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 81
89.0%
0 10
 
11.0%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size860.0 B
<NA>
81 
0
10 

Length

Max length4
Median length4
Mean length3.6703297
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> 81
89.0%
0 10
 
11.0%

Length

2023-12-11T03:27:56.555576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:27:56.781428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 81
89.0%
0 10
 
11.0%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size860.0 B
<NA>
81 
0
10 

Length

Max length4
Median length4
Mean length3.6703297
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> 81
89.0%
0 10
 
11.0%

Length

2023-12-11T03:27:56.987572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:27:57.173683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 81
89.0%
0 10
 
11.0%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing91
Missing (%)100.0%
Memory size951.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing91
Missing (%)100.0%
Memory size951.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing91
Missing (%)100.0%
Memory size951.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing91
Missing (%)100.0%
Memory size951.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing91
Missing (%)100.0%
Memory size951.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing91
Missing (%)100.0%
Memory size951.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing91
Missing (%)100.0%
Memory size951.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing91
Missing (%)100.0%
Memory size951.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing91
Missing (%)100.0%
Memory size951.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing91
Missing (%)100.0%
Memory size951.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing91
Missing (%)100.0%
Memory size951.0 B

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size860.0 B
<NA>
81 
0
10 

Length

Max length4
Median length4
Mean length3.6703297
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> 81
89.0%
0 10
 
11.0%

Length

2023-12-11T03:27:57.426524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:27:57.672561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 81
89.0%
0 10
 
11.0%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing91
Missing (%)100.0%
Memory size951.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing91
Missing (%)100.0%
Memory size951.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing91
Missing (%)100.0%
Memory size951.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing91
Missing (%)100.0%
Memory size951.0 B

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing91
Missing (%)100.0%
Memory size951.0 B

지역구분명
Categorical

Distinct10
Distinct (%)11.0%
Missing0
Missing (%)0.0%
Memory size860.0 B
<NA>
59 
일반주거지역
15 
일반상업지역
 
5
주거지역
 
4
준주거지역
 
3
Other values (5)
 
5

Length

Max length6
Median length4
Mean length4.5494505
Min length4

Unique

Unique5 ?
Unique (%)5.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 59
64.8%
일반주거지역 15
 
16.5%
일반상업지역 5
 
5.5%
주거지역 4
 
4.4%
준주거지역 3
 
3.3%
상업지역 1
 
1.1%
중심상업지역 1
 
1.1%
준공업지역 1
 
1.1%
근린상업지역 1
 
1.1%
자연녹지지역 1
 
1.1%

Length

2023-12-11T03:27:57.929461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:27:58.304699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 59
64.8%
일반주거지역 15
 
16.5%
일반상업지역 5
 
5.5%
주거지역 4
 
4.4%
준주거지역 3
 
3.3%
상업지역 1
 
1.1%
중심상업지역 1
 
1.1%
준공업지역 1
 
1.1%
근린상업지역 1
 
1.1%
자연녹지지역 1
 
1.1%

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
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_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
8384게임물배급업03_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
8485게임물배급업03_05_01_P3470000CDFF224112202200000120220518<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달서구 두류동 ***-*대구광역시 달서구 달구벌대로 ****, *층 (두류동)42659오티티Y20220518142041I2022-05-20 00:22:32.0<NA>340857.041794263163.351962게임물배급업유통관련업4<NA>기타게임소프트웨어78.6730사무실0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA>일반상업지역
8586게임물배급업03_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>
8687게임물배급업03_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>
8788게임물배급업03_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>
8889게임물배급업03_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>
8990게임물배급업03_05_01_P3480000CDFF224112202200000120220727<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 다사읍 죽곡리 ***-* 강창하이츠대구광역시 달성군 다사읍 달구벌대로 ***, ***동 ****호 (강창하이츠)42915벤 빅 게임 스튜디오20220727172407I2022-07-29 00:22:39.0<NA>331916.550581263290.230568게임물배급업유통관련업0<NA>모바일게임, pc게임15.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
9091게임물배급업03_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