Overview

Dataset statistics

Number of variables59
Number of observations183
Missing cells5326
Missing cells (%)49.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory92.0 KiB
Average record size in memory514.7 B

Variable types

Numeric13
Categorical16
Text5
Unsupported25

Dataset

Description22년03월_6270000_대구광역시_03_10_01_P_비디오물감상실업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000092672&dataSetDetailId=DDI_0000092697&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
문화체육업종명 has constant value ""Constant
인허가취소일자 is highly imbalanced (95.1%)Imbalance
영업상태구분코드 is highly imbalanced (50.4%)Imbalance
영업상태명 is highly imbalanced (50.4%)Imbalance
상세영업상태코드 is highly imbalanced (63.8%)Imbalance
상세영업상태명 is highly imbalanced (63.8%)Imbalance
데이터갱신구분 is highly imbalanced (51.9%)Imbalance
데이터갱신일자 is highly imbalanced (78.6%)Imbalance
지하층수 is highly imbalanced (56.9%)Imbalance
비디오재생기명 is highly imbalanced (50.9%)Imbalance
폐업일자 has 27 (14.8%) missing valuesMissing
휴업시작일자 has 183 (100.0%) missing valuesMissing
휴업종료일자 has 183 (100.0%) missing valuesMissing
재개업일자 has 183 (100.0%) missing valuesMissing
소재지전화 has 35 (19.1%) missing valuesMissing
소재지면적 has 183 (100.0%) missing valuesMissing
소재지우편번호 has 75 (41.0%) missing valuesMissing
도로명전체주소 has 31 (16.9%) missing valuesMissing
도로명우편번호 has 129 (70.5%) missing valuesMissing
업태구분명 has 183 (100.0%) missing valuesMissing
총층수 has 111 (60.7%) missing valuesMissing
제작취급품목내용 has 183 (100.0%) missing valuesMissing
시설면적 has 76 (41.5%) missing valuesMissing
지상층수 has 98 (53.6%) missing valuesMissing
통로너비 has 169 (92.3%) missing valuesMissing
조명시설조도 has 183 (100.0%) missing valuesMissing
노래방실수 has 183 (100.0%) missing valuesMissing
청소년실수 has 183 (100.0%) missing valuesMissing
비상계단여부 has 183 (100.0%) missing valuesMissing
비상구여부 has 183 (100.0%) missing valuesMissing
자동환기여부 has 183 (100.0%) missing valuesMissing
청소년실여부 has 183 (100.0%) missing valuesMissing
특수조명여부 has 183 (100.0%) missing valuesMissing
방음시설여부 has 183 (100.0%) missing valuesMissing
조명시설유무 has 183 (100.0%) missing valuesMissing
음향시설여부 has 183 (100.0%) missing valuesMissing
편의시설여부 has 183 (100.0%) missing valuesMissing
소방시설여부 has 183 (100.0%) missing valuesMissing
총게임기수 has 183 (100.0%) missing valuesMissing
기존게임업외업종명 has 183 (100.0%) missing valuesMissing
제공게임물명 has 183 (100.0%) missing valuesMissing
공연장형태구분명 has 183 (100.0%) missing valuesMissing
품목명 has 183 (100.0%) missing valuesMissing
최초등록시점 has 183 (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
제작취급품목내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설조도 is an unsupported type, check if it needs cleaning or further analysisUnsupported
노래방실수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상계단여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상구여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자동환기여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
특수조명여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방음시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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
총게임기수 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

Reproduction

Analysis started2023-12-10 20:54:04.915119
Analysis finished2023-12-10 20:54:05.957417
Duration1.04 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct183
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean92
Minimum1
Maximum183
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-11T05:54:06.097864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10.1
Q146.5
median92
Q3137.5
95-th percentile173.9
Maximum183
Range182
Interquartile range (IQR)91

Descriptive statistics

Standard deviation52.971691
Coefficient of variation (CV)0.57577925
Kurtosis-1.2
Mean92
Median Absolute Deviation (MAD)46
Skewness0
Sum16836
Variance2806
MonotonicityStrictly increasing
2023-12-11T05:54:06.366715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.5%
127 1
 
0.5%
118 1
 
0.5%
119 1
 
0.5%
120 1
 
0.5%
121 1
 
0.5%
122 1
 
0.5%
123 1
 
0.5%
124 1
 
0.5%
125 1
 
0.5%
Other values (173) 173
94.5%
ValueCountFrequency (%)
1 1
0.5%
2 1
0.5%
3 1
0.5%
4 1
0.5%
5 1
0.5%
6 1
0.5%
7 1
0.5%
8 1
0.5%
9 1
0.5%
10 1
0.5%
ValueCountFrequency (%)
183 1
0.5%
182 1
0.5%
181 1
0.5%
180 1
0.5%
179 1
0.5%
178 1
0.5%
177 1
0.5%
176 1
0.5%
175 1
0.5%
174 1
0.5%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
비디오물감상실업
183 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
비디오물감상실업 183
100.0%

Length

2023-12-11T05:54:06.607161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:54:06.769153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
비디오물감상실업 183
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
03_10_01_P
183 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row03_10_01_P
2nd row03_10_01_P
3rd row03_10_01_P
4th row03_10_01_P
5th row03_10_01_P

Common Values

ValueCountFrequency (%)
03_10_01_P 183
100.0%

Length

2023-12-11T05:54:07.012996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:54:07.198432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_10_01_p 183
100.0%

개방자치단체코드
Real number (ℝ)

Distinct7
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3436666.7
Minimum3410000
Maximum3470000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-11T05:54:07.396772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13410000
median3440000
Q33450000
95-th percentile3470000
Maximum3470000
Range60000
Interquartile range (IQR)40000

Descriptive statistics

Standard deviation22854.853
Coefficient of variation (CV)0.0066502968
Kurtosis-1.529455
Mean3436666.7
Median Absolute Deviation (MAD)20000
Skewness0.037433623
Sum6.2891 × 108
Variance5.2234432 × 108
MonotonicityIncreasing
2023-12-11T05:54:07.661011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3410000 63
34.4%
3450000 42
23.0%
3470000 28
15.3%
3440000 18
 
9.8%
3460000 15
 
8.2%
3420000 11
 
6.0%
3430000 6
 
3.3%
ValueCountFrequency (%)
3410000 63
34.4%
3420000 11
 
6.0%
3430000 6
 
3.3%
3440000 18
 
9.8%
3450000 42
23.0%
3460000 15
 
8.2%
3470000 28
15.3%
ValueCountFrequency (%)
3470000 28
15.3%
3460000 15
 
8.2%
3450000 42
23.0%
3440000 18
 
9.8%
3430000 6
 
3.3%
3420000 11
 
6.0%
3410000 63
34.4%

관리번호
Text

Distinct94
Distinct (%)51.4%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-12-11T05:54:08.033236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters3660
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

Unique49 ?
Unique (%)26.8%

Sample

1st rowCDFF1242011996000001
2nd rowCDFF1242012018000001
3rd rowCDFF1242011996000003
4th rowCDFF1242011996000004
5th rowCDFF1242011996000005
ValueCountFrequency (%)
cdff1242011999000001 5
 
2.7%
cdff1242011999000002 5
 
2.7%
cdff1242012007000001 5
 
2.7%
cdff1242012001000001 5
 
2.7%
cdff1242012001000002 4
 
2.2%
cdff1242011996000001 4
 
2.2%
cdff1242012008000001 4
 
2.2%
cdff1242012005000001 4
 
2.2%
cdff1242012004000001 4
 
2.2%
cdff1242012002000001 4
 
2.2%
Other values (84) 139
76.0%
2023-12-11T05:54:08.692694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1276
34.9%
1 570
15.6%
2 501
 
13.7%
F 366
 
10.0%
9 237
 
6.5%
4 210
 
5.7%
C 183
 
5.0%
D 183
 
5.0%
6 39
 
1.1%
3 32
 
0.9%
Other values (3) 63
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2928
80.0%
Uppercase Letter 732
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1276
43.6%
1 570
19.5%
2 501
 
17.1%
9 237
 
8.1%
4 210
 
7.2%
6 39
 
1.3%
3 32
 
1.1%
7 30
 
1.0%
8 17
 
0.6%
5 16
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
F 366
50.0%
C 183
25.0%
D 183
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2928
80.0%
Latin 732
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1276
43.6%
1 570
19.5%
2 501
 
17.1%
9 237
 
8.1%
4 210
 
7.2%
6 39
 
1.3%
3 32
 
1.1%
7 30
 
1.0%
8 17
 
0.6%
5 16
 
0.5%
Latin
ValueCountFrequency (%)
F 366
50.0%
C 183
25.0%
D 183
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3660
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1276
34.9%
1 570
15.6%
2 501
 
13.7%
F 366
 
10.0%
9 237
 
6.5%
4 210
 
5.7%
C 183
 
5.0%
D 183
 
5.0%
6 39
 
1.1%
3 32
 
0.9%
Other values (3) 63
 
1.7%

인허가일자
Real number (ℝ)

Distinct130
Distinct (%)71.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20010526
Minimum19960905
Maximum20180731
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-11T05:54:08.998145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19960905
5-th percentile19960913
Q119990615
median20000331
Q320030868
95-th percentile20090208
Maximum20180731
Range219826
Interquartile range (IQR)40252.5

Descriptive statistics

Standard deviation42336.724
Coefficient of variation (CV)0.0021157227
Kurtosis1.2737098
Mean20010526
Median Absolute Deviation (MAD)20286
Skewness1.1727706
Sum3.6619262 × 109
Variance1.7923982 × 109
MonotonicityNot monotonic
2023-12-11T05:54:09.364537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19990615 20
 
10.9%
19990707 14
 
7.7%
19990621 7
 
3.8%
19960910 4
 
2.2%
19961001 4
 
2.2%
19960909 4
 
2.2%
20001018 3
 
1.6%
20001027 2
 
1.1%
19961004 2
 
1.1%
19961010 2
 
1.1%
Other values (120) 121
66.1%
ValueCountFrequency (%)
19960905 1
 
0.5%
19960909 4
2.2%
19960910 4
2.2%
19960913 1
 
0.5%
19960916 1
 
0.5%
19960918 1
 
0.5%
19960923 1
 
0.5%
19961001 4
2.2%
19961004 2
1.1%
19961010 2
1.1%
ValueCountFrequency (%)
20180731 1
0.5%
20140523 1
0.5%
20130828 1
0.5%
20130415 1
0.5%
20110329 1
0.5%
20100528 1
0.5%
20100212 1
0.5%
20091204 1
0.5%
20090713 1
0.5%
20090219 1
0.5%

인허가취소일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
182 
20101102
 
1

Length

Max length8
Median length4
Mean length4.0218579
Min length4

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 182
99.5%
20101102 1
 
0.5%

Length

2023-12-11T05:54:09.670246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:54:09.991943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 182
99.5%
20101102 1
 
0.5%

영업상태구분코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
3
152 
1
24 
4
 
7

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 152
83.1%
1 24
 
13.1%
4 7
 
3.8%

Length

2023-12-11T05:54:10.220903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:54:10.413985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 152
83.1%
1 24
 
13.1%
4 7
 
3.8%

영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
폐업
152 
영업/정상
24 
취소/말소/만료/정지/중지
 
7

Length

Max length14
Median length2
Mean length2.852459
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 152
83.1%
영업/정상 24
 
13.1%
취소/말소/만료/정지/중지 7
 
3.8%

Length

2023-12-11T05:54:10.627548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:54:10.803920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 152
83.1%
영업/정상 24
 
13.1%
취소/말소/만료/정지/중지 7
 
3.8%

상세영업상태코드
Categorical

IMBALANCE 

Distinct5
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
3
152 
13
24 
35
 
4
30
 
2
31
 
1

Length

Max length2
Median length1
Mean length1.1693989
Min length1

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
3 152
83.1%
13 24
 
13.1%
35 4
 
2.2%
30 2
 
1.1%
31 1
 
0.5%

Length

2023-12-11T05:54:11.001624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:54:11.174725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 152
83.1%
13 24
 
13.1%
35 4
 
2.2%
30 2
 
1.1%
31 1
 
0.5%

상세영업상태명
Categorical

IMBALANCE 

Distinct5
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
폐업
152 
영업중
24 
직권말소
 
4
허가취소
 
2
등록취소
 
1

Length

Max length4
Median length2
Mean length2.2076503
Min length2

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 152
83.1%
영업중 24
 
13.1%
직권말소 4
 
2.2%
허가취소 2
 
1.1%
등록취소 1
 
0.5%

Length

2023-12-11T05:54:11.389580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:54:11.581263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 152
83.1%
영업중 24
 
13.1%
직권말소 4
 
2.2%
허가취소 2
 
1.1%
등록취소 1
 
0.5%

폐업일자
Real number (ℝ)

MISSING 

Distinct148
Distinct (%)94.9%
Missing27
Missing (%)14.8%
Infinite0
Infinite (%)0.0%
Mean20088893
Minimum20030106
Maximum20220121
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-11T05:54:12.169145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20030106
5-th percentile20030796
Q120050386
median20075668
Q320123372
95-th percentile20183440
Maximum20220121
Range190015
Interquartile range (IQR)72985.75

Descriptive statistics

Standard deviation48154.085
Coefficient of variation (CV)0.0023970502
Kurtosis-0.1597796
Mean20088893
Median Absolute Deviation (MAD)34557
Skewness0.84267003
Sum3.1338673 × 109
Variance2.3188159 × 109
MonotonicityNot monotonic
2023-12-11T05:54:12.536762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20140704 4
 
2.2%
20071004 2
 
1.1%
20070228 2
 
1.1%
20090414 2
 
1.1%
20210527 2
 
1.1%
20071010 2
 
1.1%
20080221 1
 
0.5%
20181203 1
 
0.5%
20060112 1
 
0.5%
20060613 1
 
0.5%
Other values (138) 138
75.4%
(Missing) 27
 
14.8%
ValueCountFrequency (%)
20030106 1
0.5%
20030402 1
0.5%
20030403 1
0.5%
20030620 1
0.5%
20030625 1
0.5%
20030703 1
0.5%
20030707 1
0.5%
20030723 1
0.5%
20030820 1
0.5%
20030905 1
0.5%
ValueCountFrequency (%)
20220121 1
0.5%
20210527 2
1.1%
20200922 1
0.5%
20200825 1
0.5%
20200229 1
0.5%
20190808 1
0.5%
20190128 1
0.5%
20181210 1
0.5%
20181203 1
0.5%
20180816 1
0.5%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing183
Missing (%)100.0%
Memory size1.7 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing183
Missing (%)100.0%
Memory size1.7 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing183
Missing (%)100.0%
Memory size1.7 KiB

소재지전화
Text

MISSING 

Distinct148
Distinct (%)100.0%
Missing35
Missing (%)19.1%
Memory size1.6 KiB
2023-12-11T05:54:13.077859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length8
Mean length8.7905405
Min length8

Characters and Unicode

Total characters1301
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique148 ?
Unique (%)100.0%

Sample

1st row053-421-8236
2nd row053-428-0291
3rd row053-425-1730
4th row053-422-6516
5th row053-421-4549
ValueCountFrequency (%)
426-8919 1
 
0.7%
635-1727 1
 
0.7%
323-3567 1
 
0.7%
953-6049 1
 
0.7%
952-4681 1
 
0.7%
324-5652 1
 
0.7%
321-1774 1
 
0.7%
959-0150 1
 
0.7%
351-4659 1
 
0.7%
954-3989 1
 
0.7%
Other values (138) 138
93.2%
2023-12-11T05:54:13.842311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 170
13.1%
- 165
12.7%
2 150
11.5%
3 122
9.4%
4 117
9.0%
6 107
8.2%
9 98
7.5%
0 92
7.1%
1 91
7.0%
8 89
6.8%
Other values (3) 100
7.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1120
86.1%
Dash Punctuation 165
 
12.7%
Open Punctuation 8
 
0.6%
Close Punctuation 8
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 170
15.2%
2 150
13.4%
3 122
10.9%
4 117
10.4%
6 107
9.6%
9 98
8.8%
0 92
8.2%
1 91
8.1%
8 89
7.9%
7 84
7.5%
Dash Punctuation
ValueCountFrequency (%)
- 165
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1301
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 170
13.1%
- 165
12.7%
2 150
11.5%
3 122
9.4%
4 117
9.0%
6 107
8.2%
9 98
7.5%
0 92
7.1%
1 91
7.0%
8 89
6.8%
Other values (3) 100
7.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1301
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 170
13.1%
- 165
12.7%
2 150
11.5%
3 122
9.4%
4 117
9.0%
6 107
8.2%
9 98
7.5%
0 92
7.1%
1 91
7.0%
8 89
6.8%
Other values (3) 100
7.7%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing183
Missing (%)100.0%
Memory size1.7 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct47
Distinct (%)43.5%
Missing75
Missing (%)41.0%
Infinite0
Infinite (%)0.0%
Mean702739.74
Minimum700010
Maximum706839
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-11T05:54:14.095615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum700010
5-th percentile700092
Q1700411
median702825.5
Q3704921
95-th percentile706808
Maximum706839
Range6829
Interquartile range (IQR)4510

Descriptive statistics

Standard deviation2306.4766
Coefficient of variation (CV)0.0032821206
Kurtosis-1.1818777
Mean702739.74
Median Absolute Deviation (MAD)2414.5
Skewness0.38650879
Sum75895892
Variance5319834.3
MonotonicityNot monotonic
2023-12-11T05:54:14.344960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
700411 13
 
7.1%
702842 10
 
5.5%
700150 8
 
4.4%
705816 5
 
2.7%
700092 5
 
2.7%
706808 5
 
2.7%
702868 4
 
2.2%
702820 4
 
2.2%
700093 3
 
1.6%
704922 3
 
1.6%
Other values (37) 48
26.2%
(Missing) 75
41.0%
ValueCountFrequency (%)
700010 1
 
0.5%
700040 1
 
0.5%
700060 1
 
0.5%
700091 1
 
0.5%
700092 5
 
2.7%
700093 3
 
1.6%
700150 8
4.4%
700160 1
 
0.5%
700180 2
 
1.1%
700411 13
7.1%
ValueCountFrequency (%)
706839 3
1.6%
706814 1
 
0.5%
706808 5
2.7%
705830 1
 
0.5%
705823 2
 
1.1%
705820 1
 
0.5%
705819 2
 
1.1%
705816 5
2.7%
705815 1
 
0.5%
705810 1
 
0.5%

소재지전체주소
Text

Distinct178
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-12-11T05:54:15.143742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length30
Mean length23.021858
Min length18

Characters and Unicode

Total characters4213
Distinct characters79
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique174 ?
Unique (%)95.1%

Sample

1st row대구광역시 중구 삼덕동1가 18-11번지
2nd row대구광역시 중구 삼덕동1가 28-26번지 2층
3rd row대구광역시 중구 사일동 59번지
4th row대구광역시 중구 남일동 77-2번지
5th row대구광역시 중구 동문동 34-1번지
ValueCountFrequency (%)
대구광역시 183
23.7%
중구 63
 
8.2%
북구 42
 
5.4%
달서구 28
 
3.6%
삼덕동1가 25
 
3.2%
산격동 22
 
2.8%
남구 18
 
2.3%
신당동 17
 
2.2%
대명동 17
 
2.2%
수성구 15
 
1.9%
Other values (220) 343
44.4%
2023-12-11T05:54:16.102542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
771
18.3%
구 367
 
8.7%
1 228
 
5.4%
대 207
 
4.9%
동 198
 
4.7%
지 188
 
4.5%
광 183
 
4.3%
역 183
 
4.3%
시 183
 
4.3%
번 174
 
4.1%
Other values (69) 1531
36.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2327
55.2%
Decimal Number 882
 
20.9%
Space Separator 771
 
18.3%
Dash Punctuation 173
 
4.1%
Close Punctuation 29
 
0.7%
Open Punctuation 29
 
0.7%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 367
15.8%
대 207
 
8.9%
동 198
 
8.5%
지 188
 
8.1%
광 183
 
7.9%
역 183
 
7.9%
시 183
 
7.9%
번 174
 
7.5%
중 63
 
2.7%
북 42
 
1.8%
Other values (54) 539
23.2%
Decimal Number
ValueCountFrequency (%)
1 228
25.9%
3 126
14.3%
2 125
14.2%
4 73
 
8.3%
5 63
 
7.1%
8 61
 
6.9%
9 56
 
6.3%
0 55
 
6.2%
7 53
 
6.0%
6 42
 
4.8%
Space Separator
ValueCountFrequency (%)
771
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 173
100.0%
Close Punctuation
ValueCountFrequency (%)
) 29
100.0%
Open Punctuation
ValueCountFrequency (%)
( 29
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2327
55.2%
Common 1886
44.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 367
15.8%
대 207
 
8.9%
동 198
 
8.5%
지 188
 
8.1%
광 183
 
7.9%
역 183
 
7.9%
시 183
 
7.9%
번 174
 
7.5%
중 63
 
2.7%
북 42
 
1.8%
Other values (54) 539
23.2%
Common
ValueCountFrequency (%)
771
40.9%
1 228
 
12.1%
- 173
 
9.2%
3 126
 
6.7%
2 125
 
6.6%
4 73
 
3.9%
5 63
 
3.3%
8 61
 
3.2%
9 56
 
3.0%
0 55
 
2.9%
Other values (5) 155
 
8.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2327
55.2%
ASCII 1886
44.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
771
40.9%
1 228
 
12.1%
- 173
 
9.2%
3 126
 
6.7%
2 125
 
6.6%
4 73
 
3.9%
5 63
 
3.3%
8 61
 
3.2%
9 56
 
3.0%
0 55
 
2.9%
Other values (5) 155
 
8.2%
Hangul
ValueCountFrequency (%)
구 367
15.8%
대 207
 
8.9%
동 198
 
8.5%
지 188
 
8.1%
광 183
 
7.9%
역 183
 
7.9%
시 183
 
7.9%
번 174
 
7.5%
중 63
 
2.7%
북 42
 
1.8%
Other values (54) 539
23.2%

도로명전체주소
Text

MISSING 

Distinct150
Distinct (%)98.7%
Missing31
Missing (%)16.9%
Memory size1.6 KiB
2023-12-11T05:54:16.751193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length32
Mean length25.710526
Min length21

Characters and Unicode

Total characters3908
Distinct characters103
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique148 ?
Unique (%)97.4%

Sample

1st row대구광역시 중구 동성로5길 41 (삼덕동1가)
2nd row대구광역시 중구 동성로3길 38, 2층 (삼덕동1가)
3rd row대구광역시 중구 동성로 25 (사일동)
4th row대구광역시 중구 중앙대로 412-6 (남일동)
5th row대구광역시 중구 경상감영길 164 (동문동)
ValueCountFrequency (%)
대구광역시 152
 
19.7%
중구 61
 
7.9%
달서구 28
 
3.6%
삼덕동1가 25
 
3.2%
남구 18
 
2.3%
대명동 17
 
2.2%
수성구 15
 
1.9%
북구 13
 
1.7%
동성로5길 12
 
1.6%
공평동 12
 
1.6%
Other values (219) 420
54.3%
2023-12-11T05:54:17.610913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
713
18.2%
구 317
 
8.1%
동 241
 
6.2%
대 210
 
5.4%
) 166
 
4.2%
( 166
 
4.2%
로 161
 
4.1%
시 152
 
3.9%
역 152
 
3.9%
광 152
 
3.9%
Other values (93) 1478
37.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2258
57.8%
Space Separator 713
 
18.2%
Decimal Number 546
 
14.0%
Close Punctuation 166
 
4.2%
Open Punctuation 166
 
4.2%
Other Punctuation 32
 
0.8%
Dash Punctuation 27
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 317
14.0%
동 241
 
10.7%
대 210
 
9.3%
로 161
 
7.1%
시 152
 
6.7%
역 152
 
6.7%
광 152
 
6.7%
성 81
 
3.6%
길 76
 
3.4%
중 71
 
3.1%
Other values (78) 645
28.6%
Decimal Number
ValueCountFrequency (%)
1 105
19.2%
2 94
17.2%
3 84
15.4%
4 57
10.4%
5 51
9.3%
6 46
8.4%
9 35
 
6.4%
8 27
 
4.9%
7 24
 
4.4%
0 23
 
4.2%
Space Separator
ValueCountFrequency (%)
713
100.0%
Close Punctuation
ValueCountFrequency (%)
) 166
100.0%
Open Punctuation
ValueCountFrequency (%)
( 166
100.0%
Other Punctuation
ValueCountFrequency (%)
, 32
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2258
57.8%
Common 1650
42.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 317
14.0%
동 241
 
10.7%
대 210
 
9.3%
로 161
 
7.1%
시 152
 
6.7%
역 152
 
6.7%
광 152
 
6.7%
성 81
 
3.6%
길 76
 
3.4%
중 71
 
3.1%
Other values (78) 645
28.6%
Common
ValueCountFrequency (%)
713
43.2%
) 166
 
10.1%
( 166
 
10.1%
1 105
 
6.4%
2 94
 
5.7%
3 84
 
5.1%
4 57
 
3.5%
5 51
 
3.1%
6 46
 
2.8%
9 35
 
2.1%
Other values (5) 133
 
8.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2258
57.8%
ASCII 1650
42.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
713
43.2%
) 166
 
10.1%
( 166
 
10.1%
1 105
 
6.4%
2 94
 
5.7%
3 84
 
5.1%
4 57
 
3.5%
5 51
 
3.1%
6 46
 
2.8%
9 35
 
2.1%
Other values (5) 133
 
8.1%
Hangul
ValueCountFrequency (%)
구 317
14.0%
동 241
 
10.7%
대 210
 
9.3%
로 161
 
7.1%
시 152
 
6.7%
역 152
 
6.7%
광 152
 
6.7%
성 81
 
3.6%
길 76
 
3.4%
중 71
 
3.1%
Other values (78) 645
28.6%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct27
Distinct (%)50.0%
Missing129
Missing (%)70.5%
Infinite0
Infinite (%)0.0%
Mean274220.65
Minimum41250
Maximum704921
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-11T05:54:17.784479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41250
5-th percentile41515.3
Q141941.25
median42608
Q3700411
95-th percentile702851.35
Maximum704921
Range663671
Interquartile range (IQR)658469.75

Descriptive statistics

Standard deviation318046.97
Coefficient of variation (CV)1.1598214
Kurtosis-1.6552099
Mean274220.65
Median Absolute Deviation (MAD)834
Skewness0.63834832
Sum14807915
Variance1.0115387 × 1011
MonotonicityNot monotonic
2023-12-11T05:54:17.977702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
41942 8
 
4.4%
42608 4
 
2.2%
700411 4
 
2.2%
41544 3
 
1.6%
42614 3
 
1.6%
702842 3
 
1.6%
41937 3
 
1.6%
41724 2
 
1.1%
700150 2
 
1.1%
700092 2
 
1.1%
Other values (17) 20
 
10.9%
(Missing) 129
70.5%
ValueCountFrequency (%)
41250 1
 
0.5%
41423 1
 
0.5%
41462 1
 
0.5%
41544 3
 
1.6%
41724 2
 
1.1%
41824 1
 
0.5%
41937 3
 
1.6%
41941 2
 
1.1%
41942 8
4.4%
41977 1
 
0.5%
ValueCountFrequency (%)
704921 1
 
0.5%
704909 1
 
0.5%
702865 1
 
0.5%
702844 1
 
0.5%
702843 1
 
0.5%
702842 3
1.6%
702831 2
1.1%
700823 1
 
0.5%
700411 4
2.2%
700150 2
1.1%

사업장명
Text

Distinct176
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-12-11T05:54:18.321994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length11
Mean length7.5409836
Min length1

Characters and Unicode

Total characters1380
Distinct characters238
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique171 ?
Unique (%)93.4%

Sample

1st row오렌지
2nd row더블유디브이디방
3rd row동성
4th row명화마을
5th row시네마 2
ValueCountFrequency (%)
비디오감상실 21
 
7.8%
dvd 14
 
5.2%
영화관 11
 
4.1%
감상실 6
 
2.2%
시네마 4
 
1.5%
방 4
 
1.5%
dvd영화관 3
 
1.1%
dvd방 3
 
1.1%
m 3
 
1.1%
2 3
 
1.1%
Other values (181) 196
73.1%
2023-12-11T05:54:18.882589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
디 100
 
7.2%
85
 
6.2%
D 76
 
5.5%
비 72
 
5.2%
오 68
 
4.9%
영 63
 
4.6%
상 58
 
4.2%
화 54
 
3.9%
실 54
 
3.9%
감 52
 
3.8%
Other values (228) 698
50.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1080
78.3%
Uppercase Letter 150
 
10.9%
Space Separator 85
 
6.2%
Decimal Number 28
 
2.0%
Open Punctuation 12
 
0.9%
Close Punctuation 12
 
0.9%
Lowercase Letter 9
 
0.7%
Other Punctuation 3
 
0.2%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
디 100
 
9.3%
비 72
 
6.7%
오 68
 
6.3%
영 63
 
5.8%
상 58
 
5.4%
화 54
 
5.0%
실 54
 
5.0%
감 52
 
4.8%
관 32
 
3.0%
이 23
 
2.1%
Other values (191) 504
46.7%
Uppercase Letter
ValueCountFrequency (%)
D 76
50.7%
V 37
24.7%
M 8
 
5.3%
K 5
 
3.3%
S 4
 
2.7%
Y 3
 
2.0%
E 3
 
2.0%
T 2
 
1.3%
U 2
 
1.3%
O 2
 
1.3%
Other values (8) 8
 
5.3%
Decimal Number
ValueCountFrequency (%)
2 8
28.6%
0 8
28.6%
1 5
17.9%
4 3
 
10.7%
5 2
 
7.1%
3 1
 
3.6%
6 1
 
3.6%
Lowercase Letter
ValueCountFrequency (%)
k 2
22.2%
e 2
22.2%
h 1
11.1%
s 1
11.1%
y 1
11.1%
t 1
11.1%
a 1
11.1%
Space Separator
ValueCountFrequency (%)
85
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1080
78.3%
Latin 159
 
11.5%
Common 141
 
10.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
디 100
 
9.3%
비 72
 
6.7%
오 68
 
6.3%
영 63
 
5.8%
상 58
 
5.4%
화 54
 
5.0%
실 54
 
5.0%
감 52
 
4.8%
관 32
 
3.0%
이 23
 
2.1%
Other values (191) 504
46.7%
Latin
ValueCountFrequency (%)
D 76
47.8%
V 37
23.3%
M 8
 
5.0%
K 5
 
3.1%
S 4
 
2.5%
Y 3
 
1.9%
E 3
 
1.9%
T 2
 
1.3%
k 2
 
1.3%
e 2
 
1.3%
Other values (15) 17
 
10.7%
Common
ValueCountFrequency (%)
85
60.3%
( 12
 
8.5%
) 12
 
8.5%
2 8
 
5.7%
0 8
 
5.7%
1 5
 
3.5%
4 3
 
2.1%
. 3
 
2.1%
5 2
 
1.4%
3 1
 
0.7%
Other values (2) 2
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1080
78.3%
ASCII 300
 
21.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
디 100
 
9.3%
비 72
 
6.7%
오 68
 
6.3%
영 63
 
5.8%
상 58
 
5.4%
화 54
 
5.0%
실 54
 
5.0%
감 52
 
4.8%
관 32
 
3.0%
이 23
 
2.1%
Other values (191) 504
46.7%
ASCII
ValueCountFrequency (%)
85
28.3%
D 76
25.3%
V 37
12.3%
( 12
 
4.0%
) 12
 
4.0%
M 8
 
2.7%
2 8
 
2.7%
0 8
 
2.7%
1 5
 
1.7%
K 5
 
1.7%
Other values (27) 44
14.7%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct183
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0099899 × 1013
Minimum2.0030403 × 1013
Maximum2.0220121 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-11T05:54:19.085086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0030403 × 1013
5-th percentile2.0031135 × 1013
Q12.0060612 × 1013
median2.0090302 × 1013
Q32.0140517 × 1013
95-th percentile2.0199385 × 1013
Maximum2.0220121 × 1013
Range1.8971802 × 1011
Interquartile range (IQR)7.9904553 × 1010

Descriptive statistics

Standard deviation5.1211146 × 1010
Coefficient of variation (CV)0.002547831
Kurtosis-0.71432304
Mean2.0099899 × 1013
Median Absolute Deviation (MAD)3.977605 × 1010
Skewness0.58532717
Sum3.6782815 × 1015
Variance2.6225815 × 1021
MonotonicityNot monotonic
2023-12-11T05:54:19.297126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20090306163817 1
 
0.5%
20040511161659 1
 
0.5%
20070404093142 1
 
0.5%
20180501150719 1
 
0.5%
20060116112525 1
 
0.5%
20070228101841 1
 
0.5%
20060614161320 1
 
0.5%
20120511162754 1
 
0.5%
20140704095907 1
 
0.5%
20080617155350 1
 
0.5%
Other values (173) 173
94.5%
ValueCountFrequency (%)
20030403110846 1
0.5%
20030409101055 1
0.5%
20030626095736 1
0.5%
20030729091036 1
0.5%
20030916090926 1
0.5%
20031007114902 1
0.5%
20031029145209 1
0.5%
20031029145412 1
0.5%
20031127112157 1
0.5%
20031127112533 1
0.5%
ValueCountFrequency (%)
20220121130617 1
0.5%
20210624174323 1
0.5%
20210527173017 1
0.5%
20210527173007 1
0.5%
20210512110745 1
0.5%
20200922181602 1
0.5%
20200825135513 1
0.5%
20200824125415 1
0.5%
20200807144905 1
0.5%
20200325162724 1
0.5%

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
I
164 
U
19 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 164
89.6%
U 19
 
10.4%

Length

2023-12-11T05:54:19.514035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:54:19.668886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 164
89.6%
u 19
 
10.4%

데이터갱신일자
Categorical

IMBALANCE 

Distinct19
Distinct (%)10.4%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2018-08-31 23:59:59.0
164 
2021-05-29 02:40:00.0
 
2
2019-08-10 02:40:00.0
 
1
2019-01-30 02:40:00.0
 
1
2019-02-27 02:40:00.0
 
1
Other values (14)
 
14

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique17 ?
Unique (%)9.3%

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 row2018-08-31 23:59:59.0
5th row2018-08-31 23:59:59.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 164
89.6%
2021-05-29 02:40:00.0 2
 
1.1%
2019-08-10 02:40:00.0 1
 
0.5%
2019-01-30 02:40:00.0 1
 
0.5%
2019-02-27 02:40:00.0 1
 
0.5%
2019-06-06 02:40:00.0 1
 
0.5%
2021-06-26 02:40:00.0 1
 
0.5%
2020-08-26 02:40:00.0 1
 
0.5%
2020-08-27 02:40:00.0 1
 
0.5%
2018-12-05 02:40:00.0 1
 
0.5%
Other values (9) 9
 
4.9%

Length

2023-12-11T05:54:19.841992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 164
44.8%
23:59:59.0 164
44.8%
02:40:00.0 18
 
4.9%
2021-05-29 2
 
0.5%
04:00:00.0 1
 
0.3%
2022-01-23 1
 
0.3%
2020-03-27 1
 
0.3%
2020-08-09 1
 
0.3%
2019-01-27 1
 
0.3%
2020-09-24 1
 
0.3%
Other values (12) 12
 
3.3%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing183
Missing (%)100.0%
Memory size1.7 KiB

좌표정보(X)
Real number (ℝ)

Distinct173
Distinct (%)94.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean343188.59
Minimum334114.67
Maximum354268.09
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-11T05:54:20.046403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum334114.67
5-th percentile334785.58
Q1341648.33
median344092.67
Q3345135.36
95-th percentile348109.86
Maximum354268.09
Range20153.419
Interquartile range (IQR)3487.0287

Descriptive statistics

Standard deviation3735.896
Coefficient of variation (CV)0.01088584
Kurtosis1.1136176
Mean343188.59
Median Absolute Deviation (MAD)1169.6767
Skewness-0.73059496
Sum62803512
Variance13956919
MonotonicityNot monotonic
2023-12-11T05:54:20.241960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
344092.666258 3
 
1.6%
340570.58191 2
 
1.1%
344237.642443 2
 
1.1%
339322.91172 2
 
1.1%
344251.516874 2
 
1.1%
348951.936072 2
 
1.1%
345244.201069 2
 
1.1%
340502.144939 2
 
1.1%
348109.858023 2
 
1.1%
345255.665042 1
 
0.5%
Other values (163) 163
89.1%
ValueCountFrequency (%)
334114.666279 1
0.5%
334161.24485 1
0.5%
334743.462832 1
0.5%
334743.607969 1
0.5%
334744.124665 1
0.5%
334744.255481 1
0.5%
334759.251987 1
0.5%
334773.512947 1
0.5%
334773.537647 1
0.5%
334785.333196 1
0.5%
ValueCountFrequency (%)
354268.085245 1
0.5%
354201.737267 1
0.5%
348975.959872 1
0.5%
348951.936072 2
1.1%
348936.957268 1
0.5%
348754.379871 1
0.5%
348718.233038 1
0.5%
348112.193149 1
0.5%
348109.858023 2
1.1%
348096.334106 1
0.5%

좌표정보(Y)
Real number (ℝ)

Distinct173
Distinct (%)94.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean264412.51
Minimum258213.56
Maximum272537.06
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-11T05:54:20.473655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum258213.56
5-th percentile260624.71
Q1262803.95
median264238.09
Q3265973.69
95-th percentile267470.86
Maximum272537.06
Range14323.499
Interquartile range (IQR)3169.7424

Descriptive statistics

Standard deviation2456.9552
Coefficient of variation (CV)0.0092921291
Kurtosis1.1123375
Mean264412.51
Median Absolute Deviation (MAD)1485.6894
Skewness0.43315101
Sum48387489
Variance6036628.8
MonotonicityNot monotonic
2023-12-11T05:54:20.731073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
264224.145555 3
 
1.6%
260624.710955 2
 
1.1%
264161.681621 2
 
1.1%
270569.99356 2
 
1.1%
264151.648667 2
 
1.1%
263005.197999 2
 
1.1%
267055.079261 2
 
1.1%
265973.687408 2
 
1.1%
259112.690055 2
 
1.1%
267132.70463 1
 
0.5%
Other values (163) 163
89.1%
ValueCountFrequency (%)
258213.561618 1
0.5%
259112.690055 2
1.1%
259211.187465 1
0.5%
259262.729985 1
0.5%
259275.404543 1
0.5%
259276.661209 1
0.5%
259297.712539 1
0.5%
260581.510167 1
0.5%
260624.710955 2
1.1%
260715.987892 1
0.5%
ValueCountFrequency (%)
272537.06034 1
0.5%
271022.178069 1
0.5%
270772.75219 1
0.5%
270695.913066 1
0.5%
270622.294906 1
0.5%
270569.99356 2
1.1%
270557.68602 1
0.5%
270505.609404 1
0.5%
267473.554541 1
0.5%
267446.624327 1
0.5%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
비디오물감상실업
183 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
비디오물감상실업 183
100.0%

Length

2023-12-11T05:54:20.925922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:54:21.055315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
비디오물감상실업 183
100.0%

문화사업자구분명
Categorical

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
유통관련업
105 
<NA>
78 

Length

Max length5
Median length5
Mean length4.5737705
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 105
57.4%
<NA> 78
42.6%

Length

2023-12-11T05:54:21.218847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:54:21.382333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 105
57.4%
na 78
42.6%

총층수
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)12.5%
Missing111
Missing (%)60.7%
Infinite0
Infinite (%)0.0%
Mean4.9027778
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-11T05:54:21.525712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q36
95-th percentile7
Maximum10
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.6112258
Coefficient of variation (CV)0.32863529
Kurtosis1.3121183
Mean4.9027778
Median Absolute Deviation (MAD)1
Skewness0.3492042
Sum353
Variance2.5960485
MonotonicityNot monotonic
2023-12-11T05:54:21.682309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
5 21
 
11.5%
6 19
 
10.4%
4 13
 
7.1%
3 8
 
4.4%
2 4
 
2.2%
7 3
 
1.6%
9 2
 
1.1%
1 1
 
0.5%
10 1
 
0.5%
(Missing) 111
60.7%
ValueCountFrequency (%)
1 1
 
0.5%
2 4
 
2.2%
3 8
 
4.4%
4 13
7.1%
5 21
11.5%
6 19
10.4%
7 3
 
1.6%
9 2
 
1.1%
10 1
 
0.5%
ValueCountFrequency (%)
10 1
 
0.5%
9 2
 
1.1%
7 3
 
1.6%
6 19
10.4%
5 21
11.5%
4 13
7.1%
3 8
 
4.4%
2 4
 
2.2%
1 1
 
0.5%

주변환경명
Categorical

Distinct6
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
116 
기타
40 
학교정화(상대)
 
11
유흥업소밀집지역
 
7
주택가주변
 
6

Length

Max length8
Median length4
Mean length4.0546448
Min length2

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> 116
63.4%
기타 40
 
21.9%
학교정화(상대) 11
 
6.0%
유흥업소밀집지역 7
 
3.8%
주택가주변 6
 
3.3%
학교정화(절대) 3
 
1.6%

Length

2023-12-11T05:54:21.871159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:54:22.080258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 116
63.4%
기타 40
 
21.9%
학교정화(상대 11
 
6.0%
유흥업소밀집지역 7
 
3.8%
주택가주변 6
 
3.3%
학교정화(절대 3
 
1.6%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing183
Missing (%)100.0%
Memory size1.7 KiB

시설면적
Real number (ℝ)

MISSING 

Distinct99
Distinct (%)92.5%
Missing76
Missing (%)41.5%
Infinite0
Infinite (%)0.0%
Mean174.46514
Minimum65
Maximum434.59
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-11T05:54:22.443528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum65
5-th percentile84.658
Q1120
median165.28
Q3211.325
95-th percentile276.958
Maximum434.59
Range369.59
Interquartile range (IQR)91.325

Descriptive statistics

Standard deviation67.326677
Coefficient of variation (CV)0.38590332
Kurtosis1.5186023
Mean174.46514
Median Absolute Deviation (MAD)45.28
Skewness0.92931882
Sum18667.77
Variance4532.8815
MonotonicityNot monotonic
2023-12-11T05:54:22.756932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
253.32 2
 
1.1%
117.0 2
 
1.1%
120.0 2
 
1.1%
82.46 2
 
1.1%
93.61 2
 
1.1%
142.95 2
 
1.1%
161.7 2
 
1.1%
247.0 2
 
1.1%
238.44 1
 
0.5%
217.35 1
 
0.5%
Other values (89) 89
48.6%
(Missing) 76
41.5%
ValueCountFrequency (%)
65.0 1
0.5%
68.0 1
0.5%
79.94 1
0.5%
82.46 2
1.1%
84.46 1
0.5%
85.12 1
0.5%
87.4 1
0.5%
89.0 1
0.5%
91.0 1
0.5%
93.61 2
1.1%
ValueCountFrequency (%)
434.59 1
0.5%
355.66 1
0.5%
353.21 1
0.5%
338.19 1
0.5%
298.86 1
0.5%
277.69 1
0.5%
275.25 1
0.5%
270.5 1
0.5%
258.12 1
0.5%
253.32 2
1.1%

지상층수
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)9.4%
Missing98
Missing (%)53.6%
Infinite0
Infinite (%)0.0%
Mean4.0588235
Minimum1
Maximum34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-11T05:54:22.954918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q35
95-th percentile6
Maximum34
Range33
Interquartile range (IQR)2

Descriptive statistics

Standard deviation3.556861
Coefficient of variation (CV)0.87632808
Kurtosis61.165468
Mean4.0588235
Median Absolute Deviation (MAD)1
Skewness7.2348272
Sum345
Variance12.651261
MonotonicityNot monotonic
2023-12-11T05:54:23.111063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3 24
 
13.1%
5 23
 
12.6%
4 16
 
8.7%
2 12
 
6.6%
6 4
 
2.2%
1 4
 
2.2%
34 1
 
0.5%
8 1
 
0.5%
(Missing) 98
53.6%
ValueCountFrequency (%)
1 4
 
2.2%
2 12
6.6%
3 24
13.1%
4 16
8.7%
5 23
12.6%
6 4
 
2.2%
8 1
 
0.5%
34 1
 
0.5%
ValueCountFrequency (%)
34 1
 
0.5%
8 1
 
0.5%
6 4
 
2.2%
5 23
12.6%
4 16
8.7%
3 24
13.1%
2 12
6.6%
1 4
 
2.2%

지하층수
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
140 
1
41 
3
 
1
2
 
1

Length

Max length4
Median length4
Mean length3.295082
Min length1

Unique

Unique2 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 140
76.5%
1 41
 
22.4%
3 1
 
0.5%
2 1
 
0.5%

Length

2023-12-11T05:54:23.368802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:54:23.573813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 140
76.5%
1 41
 
22.4%
3 1
 
0.5%
2 1
 
0.5%

건물용도명
Categorical

Distinct4
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
근린생활시설
96 
<NA>
84 
문화시설
 
2
단독주택
 
1

Length

Max length6
Median length6
Mean length5.0491803
Min length4

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
근린생활시설 96
52.5%
<NA> 84
45.9%
문화시설 2
 
1.1%
단독주택 1
 
0.5%

Length

2023-12-11T05:54:23.787433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:54:23.964001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
근린생활시설 96
52.5%
na 84
45.9%
문화시설 2
 
1.1%
단독주택 1
 
0.5%

통로너비
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)42.9%
Missing169
Missing (%)92.3%
Infinite0
Infinite (%)0.0%
Mean1.8871429
Minimum0.9
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-11T05:54:24.128950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.9
5-th percentile0.965
Q11.04
median1.15
Q31.2
95-th percentile4.98
Maximum12
Range11.1
Interquartile range (IQR)0.16

Descriptive statistics

Standard deviation2.9123356
Coefficient of variation (CV)1.5432513
Kurtosis13.960298
Mean1.8871429
Median Absolute Deviation (MAD)0.05
Skewness3.7341903
Sum26.42
Variance8.4816989
MonotonicityNot monotonic
2023-12-11T05:54:24.306572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1.2 6
 
3.3%
1.1 3
 
1.6%
1.0 2
 
1.1%
1.02 1
 
0.5%
12.0 1
 
0.5%
0.9 1
 
0.5%
(Missing) 169
92.3%
ValueCountFrequency (%)
0.9 1
 
0.5%
1.0 2
 
1.1%
1.02 1
 
0.5%
1.1 3
1.6%
1.2 6
3.3%
12.0 1
 
0.5%
ValueCountFrequency (%)
12.0 1
 
0.5%
1.2 6
3.3%
1.1 3
1.6%
1.02 1
 
0.5%
1.0 2
 
1.1%
0.9 1
 
0.5%

조명시설조도
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing183
Missing (%)100.0%
Memory size1.7 KiB

노래방실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing183
Missing (%)100.0%
Memory size1.7 KiB

청소년실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing183
Missing (%)100.0%
Memory size1.7 KiB

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing183
Missing (%)100.0%
Memory size1.7 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing183
Missing (%)100.0%
Memory size1.7 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing183
Missing (%)100.0%
Memory size1.7 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing183
Missing (%)100.0%
Memory size1.7 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing183
Missing (%)100.0%
Memory size1.7 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing183
Missing (%)100.0%
Memory size1.7 KiB

비디오재생기명
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
자동
154 
<NA>
19 
수동
 
10

Length

Max length4
Median length2
Mean length2.2076503
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
자동 154
84.2%
<NA> 19
 
10.4%
수동 10
 
5.5%

Length

2023-12-11T05:54:24.521616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:54:24.698570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
자동 154
84.2%
na 19
 
10.4%
수동 10
 
5.5%

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing183
Missing (%)100.0%
Memory size1.7 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing183
Missing (%)100.0%
Memory size1.7 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing183
Missing (%)100.0%
Memory size1.7 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing183
Missing (%)100.0%
Memory size1.7 KiB

총게임기수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing183
Missing (%)100.0%
Memory size1.7 KiB

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing183
Missing (%)100.0%
Memory size1.7 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing183
Missing (%)100.0%
Memory size1.7 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing183
Missing (%)100.0%
Memory size1.7 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing183
Missing (%)100.0%
Memory size1.7 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing183
Missing (%)100.0%
Memory size1.7 KiB

지역구분명
Categorical

Distinct8
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
105 
일반상업지역
34 
일반주거지역
19 
중심상업지역
 
8
상업지역
 
7
Other values (3)
 
10

Length

Max length6
Median length4
Mean length4.7322404
Min length4

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> 105
57.4%
일반상업지역 34
 
18.6%
일반주거지역 19
 
10.4%
중심상업지역 8
 
4.4%
상업지역 7
 
3.8%
근린상업지역 5
 
2.7%
주거지역 3
 
1.6%
준주거지역 2
 
1.1%

Length

2023-12-11T05:54:24.894345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:54:25.105370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 105
57.4%
일반상업지역 34
 
18.6%
일반주거지역 19
 
10.4%
중심상업지역 8
 
4.4%
상업지역 7
 
3.8%
근린상업지역 5
 
2.7%
주거지역 3
 
1.6%
준주거지역 2
 
1.1%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
01비디오물감상실업03_10_01_P3410000CDFF124201199600000119960910<NA>3폐업3폐업20090306<NA><NA><NA>053-421-8236<NA>700411대구광역시 중구 삼덕동1가 18-11번지대구광역시 중구 동성로5길 41 (삼덕동1가)<NA>오렌지20090306163817I2018-08-31 23:59:59.0<NA>344147.150604264238.091691비디오물감상실업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
12비디오물감상실업03_10_01_P3410000CDFF124201201800000120180731<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 삼덕동1가 28-26번지 2층대구광역시 중구 동성로3길 38, 2층 (삼덕동1가)41942더블유디브이디방20180731090307I2018-08-31 23:59:59.0<NA>344237.642443264161.681621비디오물감상실업<NA>4<NA><NA>134.252<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23비디오물감상실업03_10_01_P3410000CDFF124201199600000319960910<NA>3폐업3폐업20050915<NA><NA><NA>053-428-0291<NA>700040대구광역시 중구 사일동 59번지대구광역시 중구 동성로 25 (사일동)<NA>동성20050915164718I2018-08-31 23:59:59.0<NA>343981.615381264421.75276비디오물감상실업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
34비디오물감상실업03_10_01_P3410000CDFF124201199600000419960910<NA>3폐업3폐업20040727<NA><NA><NA>053-425-1730<NA>700060대구광역시 중구 남일동 77-2번지대구광역시 중구 중앙대로 412-6 (남일동)<NA>명화마을20040830172607I2018-08-31 23:59:59.0<NA>343903.54512264450.497305비디오물감상실업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
45비디오물감상실업03_10_01_P3410000CDFF124201199600000519960918<NA>3폐업3폐업20040816<NA><NA><NA>053-422-6516<NA>700180대구광역시 중구 동문동 34-1번지대구광역시 중구 경상감영길 164 (동문동)<NA>시네마 220040830172513I2018-08-31 23:59:59.0<NA>344089.146124264724.521659비디오물감상실업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
56비디오물감상실업03_10_01_P3410000CDFF124201199600000619960923<NA>3폐업3폐업20040907<NA><NA><NA>053-421-4549<NA>700150대구광역시 중구 공평동 53-4번지대구광역시 중구 동성로2길 59 (공평동)<NA>빠삐용20040907153745I2018-08-31 23:59:59.0<NA>344136.326648264326.059304비디오물감상실업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
67비디오물감상실업03_10_01_P3410000CDFF124201199600000719961001<NA>3폐업3폐업20080204<NA><NA><NA>424-4312<NA>700092대구광역시 중구 동성로2가 133-1번지대구광역시 중구 동성로 14 (동성로2가)<NA>스타20080204140241I2018-08-31 23:59:59.0<NA>343962.763107264280.249905비디오물감상실업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
78비디오물감상실업03_10_01_P3410000CDFF124201199600000819961001201011024취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA>427-5552<NA><NA>대구광역시 중구 동성로2가 131-1번지대구광역시 중구 중앙대로 394-13 (동성로2가)<NA>유토피아20101104131802I2018-08-31 23:59:59.0<NA>343932.208182264281.247078비디오물감상실업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
89비디오물감상실업03_10_01_P3410000CDFF124201199600000919961001<NA>3폐업3폐업20030106<NA><NA><NA>424-5817<NA>700150대구광역시 중구 공평동 59-4번지대구광역시 중구 동성로6길 52 (공평동)<NA>아카데미20031127112157I2018-08-31 23:59:59.0<NA>344269.427438264318.895189비디오물감상실업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
910비디오물감상실업03_10_01_P3410000CDFF124201199600001019961001<NA>3폐업3폐업20060414<NA><NA><NA>426-6871<NA>700092대구광역시 중구 동성로2가 130-1번지대구광역시 중구 동성로 13 (동성로2가)<NA>키노비디오20060612113138I2018-08-31 23:59:59.0<NA>343937.731242264287.466579비디오물감상실업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
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174175비디오물감상실업03_10_01_P3470000CDFF124201200400000320040702<NA>3폐업3폐업20140818<NA><NA><NA>625-9095<NA><NA>대구광역시 달서구 송현동 1041-1번지 (2층)대구광역시 달서구 월배로 491 (송현동,(2층))<NA>팝스DVD영화관20140818211430I2018-08-31 23:59:59.0<NA>340558.247026260752.902016비디오물감상실업<NA>5기타<NA>251.3141근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반상업지역
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176177비디오물감상실업03_10_01_P3470000CDFF124201200700000120071206<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달서구 두류동 496-10번지 (3층)대구광역시 달서구 달구벌대로344길 34 (두류동, 두류3동우체국)42645시네마엠디브디방20190125114646U2019-01-27 02:40:00.0<NA>340169.871851262763.382152비디오물감상실업<NA>6기타<NA>188.2851근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반주거지역
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181182비디오물감상실업03_10_01_P3470000CDFF124201201000000220100528<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달서구 신당동 1721-1 (5층)대구광역시 달서구 서당로9길 55, 5층 (신당동)42608오드리헵번DVD20210512110745U2021-05-14 02:40:00.0<NA>334743.462832262777.465173비디오물감상실업<NA>5학교정화(상대)<NA>231.785<NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반주거지역
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