Overview

Dataset statistics

Number of variables59
Number of observations25
Missing cells680
Missing cells (%)46.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.8 KiB
Average record size in memory524.3 B

Variable types

Numeric9
Categorical18
Text5
Unsupported26
DateTime1

Dataset

Description22년04월_6270000_대구광역시_03_13_01_P_영화배급업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000093001&dataSetDetailId=DDI_0000092999&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
문화체육업종명 has constant value ""Constant
소재지우편번호 is highly imbalanced (69.6%)Imbalance
인허가취소일자 has 25 (100.0%) missing valuesMissing
폐업일자 has 18 (72.0%) missing valuesMissing
휴업시작일자 has 25 (100.0%) missing valuesMissing
휴업종료일자 has 25 (100.0%) missing valuesMissing
재개업일자 has 25 (100.0%) missing valuesMissing
소재지전화 has 10 (40.0%) missing valuesMissing
소재지면적 has 25 (100.0%) missing valuesMissing
도로명우편번호 has 2 (8.0%) missing valuesMissing
업태구분명 has 25 (100.0%) missing valuesMissing
문화사업자구분명 has 25 (100.0%) missing valuesMissing
주변환경명 has 25 (100.0%) missing valuesMissing
제작취급품목내용 has 25 (100.0%) missing valuesMissing
건물용도명 has 25 (100.0%) missing valuesMissing
비상계단여부 has 25 (100.0%) missing valuesMissing
비상구여부 has 25 (100.0%) missing valuesMissing
자동환기여부 has 25 (100.0%) missing valuesMissing
청소년실여부 has 25 (100.0%) missing valuesMissing
특수조명여부 has 25 (100.0%) missing valuesMissing
방음시설여부 has 25 (100.0%) missing valuesMissing
비디오재생기명 has 25 (100.0%) missing valuesMissing
조명시설유무 has 25 (100.0%) missing valuesMissing
음향시설여부 has 25 (100.0%) missing valuesMissing
편의시설여부 has 25 (100.0%) missing valuesMissing
소방시설여부 has 25 (100.0%) missing valuesMissing
기존게임업외업종명 has 25 (100.0%) missing valuesMissing
제공게임물명 has 25 (100.0%) missing valuesMissing
공연장형태구분명 has 25 (100.0%) missing valuesMissing
품목명 has 25 (100.0%) missing valuesMissing
지역구분명 has 25 (100.0%) missing valuesMissing
번호 has unique valuesUnique
인허가일자 has unique valuesUnique
사업장명 has unique valuesUnique
최종수정시점 has unique valuesUnique
최초등록시점 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
문화사업자구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
주변환경명 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
건물용도명 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
지역구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-10 19:30:45.736977
Analysis finished2023-12-10 19:30:46.452529
Duration0.72 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13
Minimum1
Maximum25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-11T04:30:46.527172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.2
Q17
median13
Q319
95-th percentile23.8
Maximum25
Range24
Interquartile range (IQR)12

Descriptive statistics

Standard deviation7.3598007
Coefficient of variation (CV)0.56613852
Kurtosis-1.2
Mean13
Median Absolute Deviation (MAD)6
Skewness0
Sum325
Variance54.166667
MonotonicityStrictly increasing
2023-12-11T04:30:46.697095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
1 1
 
4.0%
2 1
 
4.0%
25 1
 
4.0%
24 1
 
4.0%
23 1
 
4.0%
22 1
 
4.0%
21 1
 
4.0%
20 1
 
4.0%
19 1
 
4.0%
18 1
 
4.0%
Other values (15) 15
60.0%
ValueCountFrequency (%)
1 1
4.0%
2 1
4.0%
3 1
4.0%
4 1
4.0%
5 1
4.0%
6 1
4.0%
7 1
4.0%
8 1
4.0%
9 1
4.0%
10 1
4.0%
ValueCountFrequency (%)
25 1
4.0%
24 1
4.0%
23 1
4.0%
22 1
4.0%
21 1
4.0%
20 1
4.0%
19 1
4.0%
18 1
4.0%
17 1
4.0%
16 1
4.0%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
영화배급업
25 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영화배급업 25
100.0%

Length

2023-12-11T04:30:46.844057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:30:46.967295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화배급업 25
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
03_13_01_P
25 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row03_13_01_P
2nd row03_13_01_P
3rd row03_13_01_P
4th row03_13_01_P
5th row03_13_01_P

Common Values

ValueCountFrequency (%)
03_13_01_P 25
100.0%

Length

2023-12-11T04:30:47.092285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:30:47.207637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_13_01_p 25
100.0%

개방자치단체코드
Real number (ℝ)

Distinct6
Distinct (%)24.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3435200
Minimum3410000
Maximum3470000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-11T04:30:47.328726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13410000
median3440000
Q33450000
95-th percentile3468000
Maximum3470000
Range60000
Interquartile range (IQR)40000

Descriptive statistics

Standard deviation22568.415
Coefficient of variation (CV)0.0065697527
Kurtosis-1.6739726
Mean3435200
Median Absolute Deviation (MAD)20000
Skewness-0.028405926
Sum85880000
Variance5.0933333 × 108
MonotonicityIncreasing
2023-12-11T04:30:47.465805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3410000 10
40.0%
3450000 7
28.0%
3460000 3
 
12.0%
3440000 2
 
8.0%
3470000 2
 
8.0%
3430000 1
 
4.0%
ValueCountFrequency (%)
3410000 10
40.0%
3430000 1
 
4.0%
3440000 2
 
8.0%
3450000 7
28.0%
3460000 3
 
12.0%
3470000 2
 
8.0%
ValueCountFrequency (%)
3470000 2
 
8.0%
3460000 3
 
12.0%
3450000 7
28.0%
3440000 2
 
8.0%
3430000 1
 
4.0%
3410000 10
40.0%

관리번호
Text

Distinct17
Distinct (%)68.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-11T04:30:47.728332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters500
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

Unique9 ?
Unique (%)36.0%

Sample

1st rowCDFF5211032009000001
2nd rowCDFF5211032014000002
3rd rowCDFF5211032019000001
4th rowCDFF5211032000000001
5th rowCDFF5211032021000001
ValueCountFrequency (%)
cdff5211032009000001 2
 
8.0%
cdff5211032014000002 2
 
8.0%
cdff5211032020000001 2
 
8.0%
cdff5211032021000001 2
 
8.0%
cdff5211032000000001 2
 
8.0%
cdff5211032019000001 2
 
8.0%
cdff5211032014000001 2
 
8.0%
cdff5211032012000001 2
 
8.0%
cdff5211032002000001 1
 
4.0%
cdff5211032022000001 1
 
4.0%
Other values (7) 7
28.0%
2023-12-11T04:30:48.201599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 186
37.2%
1 89
17.8%
2 62
 
12.4%
F 50
 
10.0%
5 26
 
5.2%
C 25
 
5.0%
D 25
 
5.0%
3 25
 
5.0%
9 4
 
0.8%
4 4
 
0.8%
Other values (3) 4
 
0.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 400
80.0%
Uppercase Letter 100
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 186
46.5%
1 89
22.2%
2 62
 
15.5%
5 26
 
6.5%
3 25
 
6.2%
9 4
 
1.0%
4 4
 
1.0%
6 2
 
0.5%
7 1
 
0.2%
8 1
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
F 50
50.0%
C 25
25.0%
D 25
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 400
80.0%
Latin 100
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 186
46.5%
1 89
22.2%
2 62
 
15.5%
5 26
 
6.5%
3 25
 
6.2%
9 4
 
1.0%
4 4
 
1.0%
6 2
 
0.5%
7 1
 
0.2%
8 1
 
0.2%
Latin
ValueCountFrequency (%)
F 50
50.0%
C 25
25.0%
D 25
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 500
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 186
37.2%
1 89
17.8%
2 62
 
12.4%
F 50
 
10.0%
5 26
 
5.2%
C 25
 
5.0%
D 25
 
5.0%
3 25
 
5.0%
9 4
 
0.8%
4 4
 
0.8%
Other values (3) 4
 
0.8%

인허가일자
Real number (ℝ)

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20122528
Minimum19990820
Maximum20220414
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-11T04:30:48.432445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19990820
5-th percentile20000368
Q120090218
median20140321
Q320180313
95-th percentile20211051
Maximum20220414
Range229594
Interquartile range (IQR)90095

Descriptive statistics

Standard deviation71772.161
Coefficient of variation (CV)0.0035667566
Kurtosis-0.73494966
Mean20122528
Median Absolute Deviation (MAD)49789
Skewness-0.59283782
Sum5.0306321 × 108
Variance5.1512431 × 109
MonotonicityNot monotonic
2023-12-11T04:30:48.623945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
20090819 1
 
4.0%
20140321 1
 
4.0%
20150423 1
 
4.0%
20000529 1
 
4.0%
19990820 1
 
4.0%
20210813 1
 
4.0%
20110620 1
 
4.0%
20140519 1
 
4.0%
20160523 1
 
4.0%
20140410 1
 
4.0%
Other values (15) 15
60.0%
ValueCountFrequency (%)
19990820 1
4.0%
20000328 1
4.0%
20000529 1
4.0%
20010202 1
4.0%
20021001 1
4.0%
20070911 1
4.0%
20090218 1
4.0%
20090819 1
4.0%
20110620 1
4.0%
20120620 1
4.0%
ValueCountFrequency (%)
20220414 1
4.0%
20211110 1
4.0%
20210813 1
4.0%
20200113 1
4.0%
20190220 1
4.0%
20190110 1
4.0%
20180313 1
4.0%
20160615 1
4.0%
20160523 1
4.0%
20150423 1
4.0%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

영업상태구분코드
Categorical

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
1
18 
3
7 

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 18
72.0%
3 7
 
28.0%

Length

2023-12-11T04:30:48.831223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:30:48.983984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 18
72.0%
3 7
 
28.0%

영업상태명
Categorical

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
영업/정상
18 
폐업
7 

Length

Max length5
Median length5
Mean length4.16
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 18
72.0%
폐업 7
 
28.0%

Length

2023-12-11T04:30:49.133120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:30:49.288671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 18
72.0%
폐업 7
 
28.0%

상세영업상태코드
Categorical

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
13
18 
3
7 

Length

Max length2
Median length2
Mean length1.72
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 18
72.0%
3 7
 
28.0%

Length

2023-12-11T04:30:49.438616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:30:49.611760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 18
72.0%
3 7
 
28.0%

상세영업상태명
Categorical

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
영업중
18 
폐업
7 

Length

Max length3
Median length3
Mean length2.72
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 18
72.0%
폐업 7
 
28.0%

Length

2023-12-11T04:30:49.782697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:30:49.944893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 18
72.0%
폐업 7
 
28.0%

폐업일자
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)100.0%
Missing18
Missing (%)72.0%
Infinite0
Infinite (%)0.0%
Mean20147675
Minimum20100202
Maximum20191212
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-11T04:30:50.097654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20100202
5-th percentile20103299
Q120125327
median20140617
Q320175520
95-th percentile20190971
Maximum20191212
Range91010
Interquartile range (IQR)50192.5

Descriptive statistics

Standard deviation35660.582
Coefficient of variation (CV)0.0017699602
Kurtosis-1.3757221
Mean20147675
Median Absolute Deviation (MAD)30092
Skewness0.019033418
Sum1.4103372 × 108
Variance1.2716771 × 109
MonotonicityNot monotonic
2023-12-11T04:30:50.277270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
20100202 1
 
4.0%
20140617 1
 
4.0%
20190409 1
 
4.0%
20191212 1
 
4.0%
20160630 1
 
4.0%
20140129 1
 
4.0%
20110525 1
 
4.0%
(Missing) 18
72.0%
ValueCountFrequency (%)
20100202 1
4.0%
20110525 1
4.0%
20140129 1
4.0%
20140617 1
4.0%
20160630 1
4.0%
20190409 1
4.0%
20191212 1
4.0%
ValueCountFrequency (%)
20191212 1
4.0%
20190409 1
4.0%
20160630 1
4.0%
20140617 1
4.0%
20140129 1
4.0%
20110525 1
4.0%
20100202 1
4.0%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

소재지전화
Text

MISSING 

Distinct15
Distinct (%)100.0%
Missing10
Missing (%)40.0%
Memory size332.0 B
2023-12-11T04:30:50.553139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.533333
Min length8

Characters and Unicode

Total characters173
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)100.0%

Sample

1st row02-3393-8896
2nd row053-425-3553
3rd row053-256-0528
4th row053-629-4424
5th row053-424-7055
ValueCountFrequency (%)
02-3393-8896 1
 
6.7%
053-425-3553 1
 
6.7%
053-256-0528 1
 
6.7%
053-629-4424 1
 
6.7%
053-424-7055 1
 
6.7%
0532547108 1
 
6.7%
0536294424 1
 
6.7%
053-424-0030 1
 
6.7%
053-428-1950 1
 
6.7%
053-722-7007 1
 
6.7%
Other values (5) 5
33.3%
2023-12-11T04:30:51.162739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 34
19.7%
- 25
14.5%
3 22
12.7%
5 22
12.7%
2 21
12.1%
4 14
8.1%
6 9
 
5.2%
9 7
 
4.0%
7 7
 
4.0%
1 7
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 148
85.5%
Dash Punctuation 25
 
14.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 34
23.0%
3 22
14.9%
5 22
14.9%
2 21
14.2%
4 14
9.5%
6 9
 
6.1%
9 7
 
4.7%
7 7
 
4.7%
1 7
 
4.7%
8 5
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 173
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 34
19.7%
- 25
14.5%
3 22
12.7%
5 22
12.7%
2 21
12.1%
4 14
8.1%
6 9
 
5.2%
9 7
 
4.0%
7 7
 
4.0%
1 7
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 173
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 34
19.7%
- 25
14.5%
3 22
12.7%
5 22
12.7%
2 21
12.1%
4 14
8.1%
6 9
 
5.2%
9 7
 
4.0%
7 7
 
4.0%
1 7
 
4.0%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

소재지우편번호
Categorical

IMBALANCE 

Distinct3
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
<NA>
23 
700010
 
1
703805
 
1

Length

Max length6
Median length4
Mean length4.16
Min length4

Unique

Unique2 ?
Unique (%)8.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 23
92.0%
700010 1
 
4.0%
703805 1
 
4.0%

Length

2023-12-11T04:30:51.433756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:30:51.605116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 23
92.0%
700010 1
 
4.0%
703805 1
 
4.0%

소재지전체주소
Text

Distinct23
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-11T04:30:51.872905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length32
Mean length25.52
Min length18

Characters and Unicode

Total characters638
Distinct characters66
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)84.0%

Sample

1st row대구광역시 중구 포정동 **-*번지 중앙상가 *층 ***호
2nd row대구광역시 중구 포정동 **번지 무궁화백화점***호
3rd row대구광역시 중구 수동 *-*번지
4th row대구광역시 중구 태평로*가 ***-*번지
5th row대구광역시 중구 시장북로 **-*
ValueCountFrequency (%)
대구광역시 25
20.5%
번지 20
16.4%
중구 10
 
8.2%
북구 7
 
5.7%
5
 
4.1%
호 5
 
4.1%
층 4
 
3.3%
포정동 3
 
2.5%
수성구 3
 
2.5%
달서구 2
 
1.6%
Other values (31) 38
31.1%
2023-12-11T04:30:52.426309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 128
20.1%
118
18.5%
구 52
 
8.2%
시 28
 
4.4%
동 26
 
4.1%
대 26
 
4.1%
역 25
 
3.9%
광 25
 
3.9%
지 21
 
3.3%
번 20
 
3.1%
Other values (56) 169
26.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 373
58.5%
Other Punctuation 128
 
20.1%
Space Separator 118
 
18.5%
Dash Punctuation 19
 
3.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 52
 
13.9%
시 28
 
7.5%
동 26
 
7.0%
대 26
 
7.0%
역 25
 
6.7%
광 25
 
6.7%
지 21
 
5.6%
번 20
 
5.4%
중 11
 
2.9%
북 9
 
2.4%
Other values (53) 130
34.9%
Other Punctuation
ValueCountFrequency (%)
* 128
100.0%
Space Separator
ValueCountFrequency (%)
118
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 373
58.5%
Common 265
41.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 52
 
13.9%
시 28
 
7.5%
동 26
 
7.0%
대 26
 
7.0%
역 25
 
6.7%
광 25
 
6.7%
지 21
 
5.6%
번 20
 
5.4%
중 11
 
2.9%
북 9
 
2.4%
Other values (53) 130
34.9%
Common
ValueCountFrequency (%)
* 128
48.3%
118
44.5%
- 19
 
7.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 373
58.5%
ASCII 265
41.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 128
48.3%
118
44.5%
- 19
 
7.2%
Hangul
ValueCountFrequency (%)
구 52
 
13.9%
시 28
 
7.5%
동 26
 
7.0%
대 26
 
7.0%
역 25
 
6.7%
광 25
 
6.7%
지 21
 
5.6%
번 20
 
5.4%
중 11
 
2.9%
북 9
 
2.4%
Other values (53) 130
34.9%

도로명전체주소
Text

Distinct24
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-11T04:30:52.777930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length37
Mean length30.72
Min length20

Characters and Unicode

Total characters768
Distinct characters97
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

Unique23 ?
Unique (%)92.0%

Sample

1st row대구광역시 중구 경상감영길 *** (포정동,중앙상가 *층 ***호)
2nd row대구광역시 중구 경상감영길 *** (포정동, 무궁화백화점***호)
3rd row대구광역시 중구 국채보상로 ***, *층 (수동)
4th row대구광역시 중구 태평로 *** (태평로*가)
5th row대구광역시 중구 서성로**길 **-*, *층 (시장북로)
ValueCountFrequency (%)
대구광역시 25
16.2%
25
16.2%
중구 10
 
6.5%
층 8
 
5.2%
호 7
 
4.5%
북구 7
 
4.5%
동 4
 
2.6%
경상감영길 3
 
1.9%
국채보상로 3
 
1.9%
수성구 3
 
1.9%
Other values (48) 59
38.3%
2023-12-11T04:30:53.450160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
131
17.1%
* 126
16.4%
구 53
 
6.9%
동 32
 
4.2%
시 28
 
3.6%
대 27
 
3.5%
로 25
 
3.3%
( 25
 
3.3%
) 25
 
3.3%
역 25
 
3.3%
Other values (87) 271
35.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 433
56.4%
Other Punctuation 147
 
19.1%
Space Separator 131
 
17.1%
Open Punctuation 25
 
3.3%
Close Punctuation 25
 
3.3%
Dash Punctuation 6
 
0.8%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 53
 
12.2%
동 32
 
7.4%
시 28
 
6.5%
대 27
 
6.2%
로 25
 
5.8%
역 25
 
5.8%
광 25
 
5.8%
중 11
 
2.5%
성 10
 
2.3%
북 9
 
2.1%
Other values (80) 188
43.4%
Other Punctuation
ValueCountFrequency (%)
* 126
85.7%
, 21
 
14.3%
Space Separator
ValueCountFrequency (%)
131
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Uppercase Letter
ValueCountFrequency (%)
M 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 433
56.4%
Common 334
43.5%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 53
 
12.2%
동 32
 
7.4%
시 28
 
6.5%
대 27
 
6.2%
로 25
 
5.8%
역 25
 
5.8%
광 25
 
5.8%
중 11
 
2.5%
성 10
 
2.3%
북 9
 
2.1%
Other values (80) 188
43.4%
Common
ValueCountFrequency (%)
131
39.2%
* 126
37.7%
( 25
 
7.5%
) 25
 
7.5%
, 21
 
6.3%
- 6
 
1.8%
Latin
ValueCountFrequency (%)
M 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 433
56.4%
ASCII 335
43.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
131
39.1%
* 126
37.6%
( 25
 
7.5%
) 25
 
7.5%
, 21
 
6.3%
- 6
 
1.8%
M 1
 
0.3%
Hangul
ValueCountFrequency (%)
구 53
 
12.2%
동 32
 
7.4%
시 28
 
6.5%
대 27
 
6.2%
로 25
 
5.8%
역 25
 
5.8%
광 25
 
5.8%
중 11
 
2.5%
성 10
 
2.3%
북 9
 
2.1%
Other values (80) 188
43.4%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)82.6%
Missing2
Missing (%)8.0%
Infinite0
Infinite (%)0.0%
Mean415287.57
Minimum41423
Maximum706833
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-11T04:30:53.780071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41423
5-th percentile41523.7
Q141921
median700010
Q3702807
95-th percentile705716.8
Maximum706833
Range665410
Interquartile range (IQR)660886

Descriptive statistics

Standard deviation334853.43
Coefficient of variation (CV)0.80631701
Kurtosis-2.1128796
Mean415287.57
Median Absolute Deviation (MAD)5815
Skewness-0.28175514
Sum9551614
Variance1.1212682 × 1011
MonotonicityNot monotonic
2023-12-11T04:30:54.387244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
700010 2
 
8.0%
41919 2
 
8.0%
702807 2
 
8.0%
41921 2
 
8.0%
700100 1
 
4.0%
700030 1
 
4.0%
703805 1
 
4.0%
705825 1
 
4.0%
42422 1
 
4.0%
41530 1
 
4.0%
Other values (9) 9
36.0%
(Missing) 2
 
8.0%
ValueCountFrequency (%)
41423 1
4.0%
41523 1
4.0%
41530 1
4.0%
41919 2
8.0%
41921 2
8.0%
42166 1
4.0%
42187 1
4.0%
42422 1
4.0%
700010 2
8.0%
700030 1
4.0%
ValueCountFrequency (%)
706833 1
4.0%
705825 1
4.0%
704743 1
4.0%
703805 1
4.0%
702885 1
4.0%
702807 2
8.0%
702715 1
4.0%
700113 1
4.0%
700100 1
4.0%
700030 1
4.0%

사업장명
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-11T04:30:54.727082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length12
Mean length7.76
Min length4

Characters and Unicode

Total characters194
Distinct characters87
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)100.0%

Sample

1st row대경영화사
2nd row대구영상
3rd row대구경북영화영상사회적협동조합
4th row씨네소프트
5th row대구경북독립영화협회
ValueCountFrequency (%)
주식회사 2
 
5.9%
대경영화사 1
 
2.9%
hj엔터테이먼트 1
 
2.9%
디엔제이엔터테인먼트 1
 
2.9%
지원 1
 
2.9%
디엔케이 1
 
2.9%
시네마 1
 
2.9%
heritage 1
 
2.9%
hm 1
 
2.9%
한신공영(주 1
 
2.9%
Other values (23) 23
67.6%
2023-12-11T04:30:55.288282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
영 12
 
6.2%
9
 
4.6%
상 7
 
3.6%
이 6
 
3.1%
주 6
 
3.1%
회 5
 
2.6%
엔 5
 
2.6%
대 5
 
2.6%
화 5
 
2.6%
사 5
 
2.6%
Other values (77) 129
66.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 150
77.3%
Uppercase Letter 27
 
13.9%
Space Separator 9
 
4.6%
Open Punctuation 4
 
2.1%
Close Punctuation 4
 
2.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 12
 
8.0%
상 7
 
4.7%
이 6
 
4.0%
주 6
 
4.0%
회 5
 
3.3%
엔 5
 
3.3%
대 5
 
3.3%
화 5
 
3.3%
사 5
 
3.3%
구 4
 
2.7%
Other values (60) 90
60.0%
Uppercase Letter
ValueCountFrequency (%)
I 4
14.8%
E 3
11.1%
A 3
11.1%
H 3
11.1%
G 2
7.4%
R 2
7.4%
T 2
7.4%
S 2
7.4%
M 1
 
3.7%
J 1
 
3.7%
Other values (4) 4
14.8%
Space Separator
ValueCountFrequency (%)
9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 150
77.3%
Latin 27
 
13.9%
Common 17
 
8.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 12
 
8.0%
상 7
 
4.7%
이 6
 
4.0%
주 6
 
4.0%
회 5
 
3.3%
엔 5
 
3.3%
대 5
 
3.3%
화 5
 
3.3%
사 5
 
3.3%
구 4
 
2.7%
Other values (60) 90
60.0%
Latin
ValueCountFrequency (%)
I 4
14.8%
E 3
11.1%
A 3
11.1%
H 3
11.1%
G 2
7.4%
R 2
7.4%
T 2
7.4%
S 2
7.4%
M 1
 
3.7%
J 1
 
3.7%
Other values (4) 4
14.8%
Common
ValueCountFrequency (%)
9
52.9%
( 4
23.5%
) 4
23.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 150
77.3%
ASCII 44
 
22.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
영 12
 
8.0%
상 7
 
4.7%
이 6
 
4.0%
주 6
 
4.0%
회 5
 
3.3%
엔 5
 
3.3%
대 5
 
3.3%
화 5
 
3.3%
사 5
 
3.3%
구 4
 
2.7%
Other values (60) 90
60.0%
ASCII
ValueCountFrequency (%)
9
20.5%
( 4
9.1%
I 4
9.1%
) 4
9.1%
E 3
 
6.8%
A 3
 
6.8%
H 3
 
6.8%
G 2
 
4.5%
R 2
 
4.5%
T 2
 
4.5%
Other values (7) 8
18.2%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0161439 × 1013
Minimum2.0100706 × 1013
Maximum2.0220414 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-11T04:30:55.571401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0100706 × 1013
5-th percentile2.0110627 × 1013
Q12.0140203 × 1013
median2.0160523 × 1013
Q32.0191212 × 1013
95-th percentile2.0211051 × 1013
Maximum2.0220414 × 1013
Range1.1970804 × 1011
Interquartile range (IQR)5.100905 × 1010

Descriptive statistics

Standard deviation3.776484 × 1010
Coefficient of variation (CV)0.0018731222
Kurtosis-1.3121503
Mean2.0161439 × 1013
Median Absolute Deviation (MAD)3.0689038 × 1010
Skewness-0.064845626
Sum5.0403598 × 1014
Variance1.4261831 × 1021
MonotonicityNot monotonic
2023-12-11T04:30:55.847402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
20100706143234 1
 
4.0%
20140617171842 1
 
4.0%
20151014142912 1
 
4.0%
20110526103729 1
 
4.0%
20201215175545 1
 
4.0%
20210813105613 1
 
4.0%
20140203102254 1
 
4.0%
20170413175948 1
 
4.0%
20160523114128 1
 
4.0%
20140411105643 1
 
4.0%
Other values (15) 15
60.0%
ValueCountFrequency (%)
20100706143234 1
4.0%
20110526103729 1
4.0%
20111030142114 1
4.0%
20111030151528 1
4.0%
20111125183051 1
4.0%
20121108202844 1
4.0%
20140203102254 1
4.0%
20140318154450 1
4.0%
20140411105643 1
4.0%
20140617171842 1
4.0%
ValueCountFrequency (%)
20220414180800 1
4.0%
20211110175404 1
4.0%
20210813105613 1
4.0%
20210205112442 1
4.0%
20201215175545 1
4.0%
20200113145750 1
4.0%
20191212151957 1
4.0%
20190409145037 1
4.0%
20190110111110 1
4.0%
20180313144231 1
4.0%

데이터갱신구분
Categorical

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
I
22 
U
3 

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 22
88.0%
U 3
 
12.0%

Length

2023-12-11T04:30:56.093772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:30:56.263634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 22
88.0%
u 3
 
12.0%

데이터갱신일자
Date

Distinct10
Distinct (%)40.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
Minimum2018-08-31 23:59:59
Maximum2022-04-17 00:22:33
2023-12-11T04:30:56.409351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T04:30:56.631444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

좌표정보(X)
Real number (ℝ)

Distinct20
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean343064.37
Minimum336954.22
Maximum347075.54
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-11T04:30:56.828120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum336954.22
5-th percentile339275.6
Q1341042.06
median343571.97
Q3344033.7
95-th percentile346287.98
Maximum347075.54
Range10121.319
Interquartile range (IQR)2991.632

Descriptive statistics

Standard deviation2436.0557
Coefficient of variation (CV)0.0071008706
Kurtosis0.23372533
Mean343064.37
Median Absolute Deviation (MAD)1791.0223
Skewness-0.59719674
Sum8576609.1
Variance5934367.3
MonotonicityNot monotonic
2023-12-11T04:30:57.013196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
340718.253609 2
 
8.0%
342930.413533 2
 
8.0%
341042.064148 2
 
8.0%
343843.928958 2
 
8.0%
345948.619573 2
 
8.0%
343800.362369 1
 
4.0%
336954.220302 1
 
4.0%
339091.564952 1
 
4.0%
347075.539149 1
 
4.0%
345362.987975 1
 
4.0%
Other values (10) 10
40.0%
ValueCountFrequency (%)
336954.220302 1
4.0%
339091.564952 1
4.0%
340011.737583 1
4.0%
340718.253609 2
8.0%
341042.064148 2
8.0%
341490.789047 1
4.0%
342930.413533 2
8.0%
343418.6662 1
4.0%
343471.43921 1
4.0%
343571.965699 1
4.0%
ValueCountFrequency (%)
347075.539149 1
4.0%
346372.82338 1
4.0%
345948.619573 2
8.0%
345362.987975 1
4.0%
345250.756579 1
4.0%
344033.696103 1
4.0%
343954.047468 1
4.0%
343843.928958 2
8.0%
343800.362369 1
4.0%
343781.971492 1
4.0%

좌표정보(Y)
Real number (ℝ)

Distinct20
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean265437.19
Minimum259777.2
Maximum272659.98
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-11T04:30:57.226201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum259777.2
5-th percentile260273.47
Q1262938.89
median264710.29
Q3268094.05
95-th percentile272618.02
Maximum272659.98
Range12882.773
Interquartile range (IQR)5155.1564

Descriptive statistics

Standard deviation3849.2205
Coefficient of variation (CV)0.014501436
Kurtosis-0.19505995
Mean265437.19
Median Absolute Deviation (MAD)1875.0908
Skewness0.74813628
Sum6635929.6
Variance14816498
MonotonicityNot monotonic
2023-12-11T04:30:57.421217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
272659.975074 2
 
8.0%
264710.290236 2
 
8.0%
272450.218487 2
 
8.0%
264721.595597 2
 
8.0%
268094.048406 2
 
8.0%
264745.47733 1
 
4.0%
262321.195205 1
 
4.0%
260495.830517 1
 
4.0%
259777.201586 1
 
4.0%
260217.87376 1
 
4.0%
Other values (10) 10
40.0%
ValueCountFrequency (%)
259777.201586 1
4.0%
260217.87376 1
4.0%
260495.830517 1
4.0%
261834.990748 1
4.0%
262321.195205 1
4.0%
262835.199453 1
4.0%
262938.891984 1
4.0%
263314.119275 1
4.0%
264499.217306 1
4.0%
264558.069261 1
4.0%
ValueCountFrequency (%)
272659.975074 2
8.0%
272450.218487 2
8.0%
268519.387279 1
4.0%
268094.048406 2
8.0%
265193.050485 1
4.0%
264824.100818 1
4.0%
264745.47733 1
4.0%
264721.595597 2
8.0%
264710.290236 2
8.0%
264582.776251 1
4.0%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
영화배급업
25 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영화배급업 25
100.0%

Length

2023-12-11T04:30:57.645665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:30:57.810933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화배급업 25
100.0%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

총층수
Categorical

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
<NA>
22 
0
3 

Length

Max length4
Median length4
Mean length3.64
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row0

Common Values

ValueCountFrequency (%)
<NA> 22
88.0%
0 3
 
12.0%

Length

2023-12-11T04:30:57.979075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:30:58.148973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
88.0%
0 3
 
12.0%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

시설면적
Categorical

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
<NA>
22 
0
3 

Length

Max length4
Median length4
Mean length3.64
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row0

Common Values

ValueCountFrequency (%)
<NA> 22
88.0%
0 3
 
12.0%

Length

2023-12-11T04:30:58.337899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:30:58.465882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
88.0%
0 3
 
12.0%

지상층수
Categorical

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
<NA>
22 
0
3 

Length

Max length4
Median length4
Mean length3.64
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row0

Common Values

ValueCountFrequency (%)
<NA> 22
88.0%
0 3
 
12.0%

Length

2023-12-11T04:30:58.641618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:30:58.810434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
88.0%
0 3
 
12.0%

지하층수
Categorical

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
<NA>
22 
0
3 

Length

Max length4
Median length4
Mean length3.64
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row0

Common Values

ValueCountFrequency (%)
<NA> 22
88.0%
0 3
 
12.0%

Length

2023-12-11T04:30:58.985679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:30:59.166536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
88.0%
0 3
 
12.0%

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

통로너비
Categorical

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
<NA>
22 
0
3 

Length

Max length4
Median length4
Mean length3.64
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row0

Common Values

ValueCountFrequency (%)
<NA> 22
88.0%
0 3
 
12.0%

Length

2023-12-11T04:30:59.343055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:30:59.545543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
88.0%
0 3
 
12.0%

조명시설조도
Categorical

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
<NA>
22 
0
3 

Length

Max length4
Median length4
Mean length3.64
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row0

Common Values

ValueCountFrequency (%)
<NA> 22
88.0%
0 3
 
12.0%

Length

2023-12-11T04:30:59.745802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:30:59.958006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
88.0%
0 3
 
12.0%

노래방실수
Categorical

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
<NA>
22 
0
3 

Length

Max length4
Median length4
Mean length3.64
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row0

Common Values

ValueCountFrequency (%)
<NA> 22
88.0%
0 3
 
12.0%

Length

2023-12-11T04:31:00.187709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:31:00.384591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
88.0%
0 3
 
12.0%

청소년실수
Categorical

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
<NA>
22 
0
3 

Length

Max length4
Median length4
Mean length3.64
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row0

Common Values

ValueCountFrequency (%)
<NA> 22
88.0%
0 3
 
12.0%

Length

2023-12-11T04:31:00.566569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:31:00.759437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
88.0%
0 3
 
12.0%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

총게임기수
Categorical

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
<NA>
22 
0
3 

Length

Max length4
Median length4
Mean length3.64
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row0

Common Values

ValueCountFrequency (%)
<NA> 22
88.0%
0 3
 
12.0%

Length

2023-12-11T04:31:01.030961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:31:01.241243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
88.0%
0 3
 
12.0%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

최초등록시점
Real number (ℝ)

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20122528
Minimum19990820
Maximum20220414
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-11T04:31:01.422338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19990820
5-th percentile20000368
Q120090218
median20140321
Q320180313
95-th percentile20211051
Maximum20220414
Range229594
Interquartile range (IQR)90095

Descriptive statistics

Standard deviation71772.161
Coefficient of variation (CV)0.0035667566
Kurtosis-0.73494966
Mean20122528
Median Absolute Deviation (MAD)49789
Skewness-0.59283782
Sum5.0306321 × 108
Variance5.1512431 × 109
MonotonicityNot monotonic
2023-12-11T04:31:01.612430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
20090819 1
 
4.0%
20140321 1
 
4.0%
20150423 1
 
4.0%
20000529 1
 
4.0%
19990820 1
 
4.0%
20210813 1
 
4.0%
20110620 1
 
4.0%
20140519 1
 
4.0%
20160523 1
 
4.0%
20140410 1
 
4.0%
Other values (15) 15
60.0%
ValueCountFrequency (%)
19990820 1
4.0%
20000328 1
4.0%
20000529 1
4.0%
20010202 1
4.0%
20021001 1
4.0%
20070911 1
4.0%
20090218 1
4.0%
20090819 1
4.0%
20110620 1
4.0%
20120620 1
4.0%
ValueCountFrequency (%)
20220414 1
4.0%
20211110 1
4.0%
20210813 1
4.0%
20200113 1
4.0%
20190220 1
4.0%
20190110 1
4.0%
20180313 1
4.0%
20160615 1
4.0%
20160523 1
4.0%
20150423 1
4.0%

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
01영화배급업03_13_01_P3410000CDFF521103200900000120090819<NA>3폐업3폐업20100202<NA><NA><NA>02-3393-8896<NA><NA>대구광역시 중구 포정동 **-*번지 중앙상가 *층 ***호대구광역시 중구 경상감영길 *** (포정동,중앙상가 *층 ***호)<NA>대경영화사20100706143234I2018-08-31 23:59:59.0<NA>343800.362369264745.47733영화배급업<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><NA><NA>20090819<NA>
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34영화배급업03_13_01_P3410000CDFF521103200000000120000328<NA>1영업/정상13영업중<NA><NA><NA><NA>053-256-0528<NA><NA>대구광역시 중구 태평로*가 ***-*번지대구광역시 중구 태평로 *** (태평로*가)700113씨네소프트20160328163824I2018-08-31 23:59:59.0<NA>343418.6662265193.050485영화배급업<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><NA><NA>20000328<NA>
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56영화배급업03_13_01_P3410000CDFF521103200200000120021001<NA>1영업/정상13영업중<NA><NA><NA><NA>053-424-7055<NA><NA>대구광역시 중구 화전동 **-**번지 *층대구광역시 중구 교동길 * (화전동)700100(주)엔에스엘무비20111125183051I2018-08-31 23:59:59.0<NA>343954.047468264824.100818영화배급업<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><NA><NA>20021001<NA>
67영화배급업03_13_01_P3410000CDFF521103201400000120140318<NA>1영업/정상13영업중<NA><NA><NA><NA>0532547108<NA>700010대구광역시 중구 포정동 **번지 무궁화백화점***호대구광역시 중구 경상감영길 *** (포정동)700010중앙영상20140318154450I2018-08-31 23:59:59.0<NA>343843.928958264721.595597영화배급업<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><NA><NA>20140318<NA>
78영화배급업03_13_01_P3410000CDFF521103202200000120220414<NA>1영업/정상13영업중<NA><NA><NA><NA>0536294424<NA><NA>대구광역시 중구 시장북로 **-*대구광역시 중구 서성로**길 **-*, *층 (시장북로)41921협동조합 컨티뉴이티20220414180800I2022-04-17 00:22:33.0<NA>342930.413533264710.290236영화배급업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>20220414<NA>
89영화배급업03_13_01_P3410000CDFF521103202000000120200113<NA>1영업/정상13영업중<NA><NA><NA><NA>053-424-0030<NA><NA>대구광역시 중구 종로*가 **-*번지대구광역시 중구 국채보상로 *** (종로*가)41919주식회사 지원엠케이20200113145750I2020-01-15 00:23:25.0<NA>343571.965699264582.776251영화배급업<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><NA><NA>20200113<NA>
910영화배급업03_13_01_P3410000CDFF521103200100000120010202<NA>1영업/정상13영업중<NA><NA><NA><NA>053-428-1950<NA><NA>대구광역시 중구 전동 **-*번지대구광역시 중구 국채보상로 ***-** (전동)700030(주)대구시네마20111030142114I2018-08-31 23:59:59.0<NA>343781.971492264499.217306영화배급업<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><NA><NA>20010202<NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
1516영화배급업03_13_01_P3450000CDFF521103201900000120190220<NA>3폐업3폐업20191212<NA><NA><NA><NA><NA><NA>대구광역시 북구 복현동 ***-***번지 복현서한타운대구광역시 북구 검단로 **, ***동 ***호 (복현동, 복현서한타운)41523무비영상20191212151957U2019-12-14 02:40:00.0<NA>345948.619573268094.048406영화배급업<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><NA><NA>20190220<NA>
1617영화배급업03_13_01_P3450000CDFF521103201200000120120620<NA>3폐업3폐업20160630<NA><NA><NA>053-601-0601<NA><NA>대구광역시 북구 산격동 ****번지 *층 씨네스카이대구광역시 북구 유통단지로 ** (산격동)702715HJ엔터테이먼트20160711140415I2018-08-31 23:59:59.0<NA>345250.756579268519.387279영화배급업<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><NA><NA>20120620<NA>
1718영화배급업03_13_01_P3450000CDFF521103201400000120140410<NA>1영업/정상13영업중<NA><NA><NA><NA>053-324-0600<NA><NA>대구광역시 북구 구암동 ***-*번지대구광역시 북구 학정로 ***, *층 (구암동)702807디엔제이엔터테인먼트20140411105643I2018-08-31 23:59:59.0<NA>341042.064148272450.218487영화배급업<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><NA><NA>20140410<NA>
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2021영화배급업03_13_01_P3460000CDFF521103201100000120110620<NA>3폐업3폐업20140129<NA><NA><NA><NA><NA><NA>대구광역시 수성구 수성동*가 *번지 수성빌딩대구광역시 수성구 청솔로 ***, *층 (수성동*가, 수성빌딩)706833HERITAGE HM ASIA20140203102254I2018-08-31 23:59:59.0<NA>346372.82338263314.119275영화배급업<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><NA><NA>20110620<NA>
2122영화배급업03_13_01_P3460000CDFF521103202100000120210813<NA>1영업/정상13영업중<NA><NA><NA><NA>070-7602-3113<NA><NA>대구광역시 수성구 상동 *** 수성동일하이빌레이크시티아파트대구광역시 수성구 수성로 **, ***동 ****호 (상동, 수성동일하이빌레이크시티아파트)42166유컴퍼니 유한회사20210813105613I2021-08-15 00:23:01.0<NA>345362.987975260217.87376영화배급업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>20210813<NA>
2223영화배급업03_13_01_P3460000CDFF521103202000000119990820<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 수성구 지산동 ****-**대구광역시 수성구 지범로 **-** (지산동)42187세창영상20201215175545I2020-12-17 00:23:06.0<NA>347075.539149259777.201586영화배급업<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><NA><NA>19990820<NA>
2324영화배급업03_13_01_P3470000CDFF521103200000000120000529<NA>3폐업3폐업20110525<NA><NA><NA>629-2029<NA><NA>대구광역시 달서구 본동 ****-*번지대구광역시 달서구 와룡로*길 **-* (본동)<NA>박상호영화필림20110526103729I2018-08-31 23:59:59.0<NA>339091.564952260495.830517영화배급업<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><NA><NA>20000529<NA>
2425영화배급업03_13_01_P3470000CDFF521103201500000120150423<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달서구 용산동 ***번지 평화타운 ***동 ***호대구광역시 달서구 성서동로 ***, ***동 ***호 (용산동, 평화타운)704743영화와 소통하기20151014142912I2018-08-31 23:59:59.0<NA>336954.220302262321.195205영화배급업<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><NA><NA>20150423<NA>