Overview

Dataset statistics

Number of variables59
Number of observations21
Missing cells760
Missing cells (%)61.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.8 KiB
Average record size in memory525.3 B

Variable types

Numeric9
Categorical9
Text5
Unsupported35
DateTime1

Dataset

Description6270000_대구광역시_03_13_01_P_영화배급업_2월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000084191&dataSetDetailId=DDI_0000084189&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스ID has constant value ""Constant
문화체육업종명 has constant value ""Constant
소재지우편번호 is highly imbalanced (65.4%)Imbalance
데이터갱신구분 is highly imbalanced (54.6%)Imbalance
인허가취소일자 has 21 (100.0%) missing valuesMissing
폐업일자 has 14 (66.7%) missing valuesMissing
휴업시작일자 has 21 (100.0%) missing valuesMissing
휴업종료일자 has 21 (100.0%) missing valuesMissing
재개업일자 has 21 (100.0%) missing valuesMissing
소재지전화 has 9 (42.9%) missing valuesMissing
소재지면적 has 21 (100.0%) missing valuesMissing
도로명우편번호 has 2 (9.5%) missing valuesMissing
업태구분명 has 21 (100.0%) missing valuesMissing
문화사업자구분명 has 21 (100.0%) missing valuesMissing
총층수 has 21 (100.0%) missing valuesMissing
주변환경명 has 21 (100.0%) missing valuesMissing
제작취급품목내용 has 21 (100.0%) missing valuesMissing
시설면적 has 21 (100.0%) missing valuesMissing
지상층수 has 21 (100.0%) missing valuesMissing
지하층수 has 21 (100.0%) missing valuesMissing
건물용도명 has 21 (100.0%) missing valuesMissing
통로너비 has 21 (100.0%) missing valuesMissing
조명시설조도 has 21 (100.0%) missing valuesMissing
노래방실수 has 21 (100.0%) missing valuesMissing
청소년실수 has 21 (100.0%) missing valuesMissing
비상계단여부 has 21 (100.0%) missing valuesMissing
비상구여부 has 21 (100.0%) missing valuesMissing
자동환기여부 has 21 (100.0%) missing valuesMissing
청소년실여부 has 21 (100.0%) missing valuesMissing
특수조명여부 has 21 (100.0%) missing valuesMissing
방음시설여부 has 21 (100.0%) missing valuesMissing
비디오재생기명 has 21 (100.0%) missing valuesMissing
조명시설유무 has 21 (100.0%) missing valuesMissing
음향시설여부 has 21 (100.0%) missing valuesMissing
편의시설여부 has 21 (100.0%) missing valuesMissing
소방시설여부 has 21 (100.0%) missing valuesMissing
총게임기수 has 21 (100.0%) missing valuesMissing
기존게임업외업종명 has 21 (100.0%) missing valuesMissing
제공게임물명 has 21 (100.0%) missing valuesMissing
공연장형태구분명 has 21 (100.0%) missing valuesMissing
품목명 has 21 (100.0%) missing valuesMissing
지역구분명 has 21 (100.0%) missing valuesMissing
번호 has unique valuesUnique
인허가일자 has unique valuesUnique
도로명전체주소 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
총층수 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
시설면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
지상층수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
지하층수 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
통로너비 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
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
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
지역구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-10 18:39:43.786618
Analysis finished2023-12-10 18:39:44.606114
Duration0.82 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11
Minimum1
Maximum21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-11T03:39:44.720775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q16
median11
Q316
95-th percentile20
Maximum21
Range20
Interquartile range (IQR)10

Descriptive statistics

Standard deviation6.2048368
Coefficient of variation (CV)0.56407607
Kurtosis-1.2
Mean11
Median Absolute Deviation (MAD)5
Skewness0
Sum231
Variance38.5
MonotonicityStrictly increasing
2023-12-11T03:39:44.956318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
1 1
 
4.8%
2 1
 
4.8%
21 1
 
4.8%
20 1
 
4.8%
19 1
 
4.8%
18 1
 
4.8%
17 1
 
4.8%
16 1
 
4.8%
15 1
 
4.8%
14 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
1 1
4.8%
2 1
4.8%
3 1
4.8%
4 1
4.8%
5 1
4.8%
6 1
4.8%
7 1
4.8%
8 1
4.8%
9 1
4.8%
10 1
4.8%
ValueCountFrequency (%)
21 1
4.8%
20 1
4.8%
19 1
4.8%
18 1
4.8%
17 1
4.8%
16 1
4.8%
15 1
4.8%
14 1
4.8%
13 1
4.8%
12 1
4.8%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
영화배급업
21 

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 21
100.0%

Length

2023-12-11T03:39:45.185806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:39:45.333503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화배급업 21
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
03_13_01_P
21 

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 21
100.0%

Length

2023-12-11T03:39:45.505988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:39:46.065478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_13_01_p 21
100.0%

개방자치단체코드
Real number (ℝ)

Distinct6
Distinct (%)28.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3435238.1
Minimum3410000
Maximum3470000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-11T03:39:46.208871image/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 deviation22049.727
Coefficient of variation (CV)0.0064186897
Kurtosis-1.5439253
Mean3435238.1
Median Absolute Deviation (MAD)20000
Skewness-0.035161328
Sum72140000
Variance4.8619048 × 108
MonotonicityIncreasing
2023-12-11T03:39:46.391293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3410000 8
38.1%
3450000 7
33.3%
3440000 2
 
9.5%
3470000 2
 
9.5%
3430000 1
 
4.8%
3460000 1
 
4.8%
ValueCountFrequency (%)
3410000 8
38.1%
3430000 1
 
4.8%
3440000 2
 
9.5%
3450000 7
33.3%
3460000 1
 
4.8%
3470000 2
 
9.5%
ValueCountFrequency (%)
3470000 2
 
9.5%
3460000 1
 
4.8%
3450000 7
33.3%
3440000 2
 
9.5%
3430000 1
 
4.8%
3410000 8
38.1%

관리번호
Text

Distinct15
Distinct (%)71.4%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-12-11T03:39:46.701776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters420
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 (%)42.9%

Sample

1st rowCDFF5211032014000001
2nd rowCDFF5211032014000002
3rd rowCDFF5211032000000001
4th rowCDFF5211032001000001
5th rowCDFF5211032002000001
ValueCountFrequency (%)
cdff5211032014000001 2
 
9.5%
cdff5211032014000002 2
 
9.5%
cdff5211032000000001 2
 
9.5%
cdff5211032009000001 2
 
9.5%
cdff5211032019000001 2
 
9.5%
cdff5211032012000001 2
 
9.5%
cdff5211032001000001 1
 
4.8%
cdff5211032002000001 1
 
4.8%
cdff5211032020000001 1
 
4.8%
cdff5211032018000001 1
 
4.8%
Other values (5) 5
23.8%
2023-12-11T03:39:47.204129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 157
37.4%
1 75
17.9%
2 49
 
11.7%
F 42
 
10.0%
5 22
 
5.2%
C 21
 
5.0%
D 21
 
5.0%
3 21
 
5.0%
4 4
 
1.0%
9 4
 
1.0%
Other values (3) 4
 
1.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 336
80.0%
Uppercase Letter 84
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 157
46.7%
1 75
22.3%
2 49
 
14.6%
5 22
 
6.5%
3 21
 
6.2%
4 4
 
1.2%
9 4
 
1.2%
6 2
 
0.6%
8 1
 
0.3%
7 1
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
F 42
50.0%
C 21
25.0%
D 21
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 336
80.0%
Latin 84
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 157
46.7%
1 75
22.3%
2 49
 
14.6%
5 22
 
6.5%
3 21
 
6.2%
4 4
 
1.2%
9 4
 
1.2%
6 2
 
0.6%
8 1
 
0.3%
7 1
 
0.3%
Latin
ValueCountFrequency (%)
F 42
50.0%
C 21
25.0%
D 21
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 420
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 157
37.4%
1 75
17.9%
2 49
 
11.7%
F 42
 
10.0%
5 22
 
5.2%
C 21
 
5.0%
D 21
 
5.0%
3 21
 
5.0%
4 4
 
1.0%
9 4
 
1.0%
Other values (3) 4
 
1.0%

인허가일자
Real number (ℝ)

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20115717
Minimum20000328
Maximum20200113
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-11T03:39:47.430450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20000328
5-th percentile20000529
Q120090218
median20140318
Q320160523
95-th percentile20190220
Maximum20200113
Range199785
Interquartile range (IQR)70305

Descriptive statistics

Standard deviation63279.506
Coefficient of variation (CV)0.0031457743
Kurtosis-0.5465543
Mean20115717
Median Absolute Deviation (MAD)39995
Skewness-0.70503106
Sum4.2243005 × 108
Variance4.0042959 × 109
MonotonicityNot monotonic
2023-12-11T03:39:47.643096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
20140318 1
 
4.8%
20140321 1
 
4.8%
20150423 1
 
4.8%
20000529 1
 
4.8%
20110620 1
 
4.8%
20070911 1
 
4.8%
20140410 1
 
4.8%
20140519 1
 
4.8%
20120620 1
 
4.8%
20160523 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
20000328 1
4.8%
20000529 1
4.8%
20010202 1
4.8%
20021001 1
4.8%
20070911 1
4.8%
20090218 1
4.8%
20090819 1
4.8%
20110620 1
4.8%
20120620 1
4.8%
20120920 1
4.8%
ValueCountFrequency (%)
20200113 1
4.8%
20190220 1
4.8%
20190110 1
4.8%
20180313 1
4.8%
20160615 1
4.8%
20160523 1
4.8%
20150423 1
4.8%
20140519 1
4.8%
20140410 1
4.8%
20140321 1
4.8%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

영업상태구분코드
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
1
14 
3
7 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 14
66.7%
3 7
33.3%

Length

2023-12-11T03:39:47.875084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:39:48.050981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 14
66.7%
3 7
33.3%

영업상태명
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
영업/정상
14 
폐업
7 

Length

Max length5
Median length5
Mean length4
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 14
66.7%
폐업 7
33.3%

Length

2023-12-11T03:39:48.266732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:39:48.455993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 14
66.7%
폐업 7
33.3%

상세영업상태코드
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
13
14 
3
7 

Length

Max length2
Median length2
Mean length1.6666667
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 14
66.7%
3 7
33.3%

Length

2023-12-11T03:39:48.659048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:39:48.851467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 14
66.7%
3 7
33.3%

상세영업상태명
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
영업중
14 
폐업
7 

Length

Max length3
Median length3
Mean length2.6666667
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 14
66.7%
폐업 7
33.3%

Length

2023-12-11T03:39:49.059117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:39:49.292084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 14
66.7%
폐업 7
33.3%

폐업일자
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)100.0%
Missing14
Missing (%)66.7%
Infinite0
Infinite (%)0.0%
Mean20147675
Minimum20100202
Maximum20191212
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-11T03:39:49.478770image/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
2023-12-11T03:39:49.681259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
20140617 1
 
4.8%
20100202 1
 
4.8%
20191212 1
 
4.8%
20190409 1
 
4.8%
20160630 1
 
4.8%
20140129 1
 
4.8%
20110525 1
 
4.8%
(Missing) 14
66.7%
ValueCountFrequency (%)
20100202 1
4.8%
20110525 1
4.8%
20140129 1
4.8%
20140617 1
4.8%
20160630 1
4.8%
20190409 1
4.8%
20191212 1
4.8%
ValueCountFrequency (%)
20191212 1
4.8%
20190409 1
4.8%
20160630 1
4.8%
20140617 1
4.8%
20140129 1
4.8%
20110525 1
4.8%
20100202 1
4.8%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

소재지전화
Text

MISSING 

Distinct12
Distinct (%)100.0%
Missing9
Missing (%)42.9%
Memory size300.0 B
2023-12-11T03:39:49.987034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.5
Min length8

Characters and Unicode

Total characters138
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

Unique12 ?
Unique (%)100.0%

Sample

1st row0532547108
2nd row053-256-0528
3rd row053-428-1950
4th row053-424-7055
5th row02-3393-8896
ValueCountFrequency (%)
0532547108 1
8.3%
053-256-0528 1
8.3%
053-428-1950 1
8.3%
053-424-7055 1
8.3%
02-3393-8896 1
8.3%
053-425-3553 1
8.3%
053-424-0030 1
8.3%
053-722-7007 1
8.3%
053-322-1500 1
8.3%
053-601-0601 1
8.3%
Other values (2) 2
16.7%
2023-12-11T03:39:50.724328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 29
21.0%
- 21
15.2%
5 20
14.5%
3 18
13.0%
2 16
11.6%
4 8
 
5.8%
6 6
 
4.3%
7 5
 
3.6%
1 5
 
3.6%
8 5
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 117
84.8%
Dash Punctuation 21
 
15.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 29
24.8%
5 20
17.1%
3 18
15.4%
2 16
13.7%
4 8
 
6.8%
6 6
 
5.1%
7 5
 
4.3%
1 5
 
4.3%
8 5
 
4.3%
9 5
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 138
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 29
21.0%
- 21
15.2%
5 20
14.5%
3 18
13.0%
2 16
11.6%
4 8
 
5.8%
6 6
 
4.3%
7 5
 
3.6%
1 5
 
3.6%
8 5
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 138
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 29
21.0%
- 21
15.2%
5 20
14.5%
3 18
13.0%
2 16
11.6%
4 8
 
5.8%
6 6
 
4.3%
7 5
 
3.6%
1 5
 
3.6%
8 5
 
3.6%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

소재지우편번호
Categorical

IMBALANCE 

Distinct3
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size300.0 B
<NA>
19 
700010
 
1
703805
 
1

Length

Max length6
Median length4
Mean length4.1904762
Min length4

Unique

Unique2 ?
Unique (%)9.5%

Sample

1st row700010
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 19
90.5%
700010 1
 
4.8%
703805 1
 
4.8%

Length

2023-12-11T03:39:51.022718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:39:51.252391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 19
90.5%
700010 1
 
4.8%
703805 1
 
4.8%

소재지전체주소
Text

Distinct20
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-12-11T03:39:51.694696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length32
Mean length26.047619
Min length18

Characters and Unicode

Total characters547
Distinct characters70
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

Unique19 ?
Unique (%)90.5%

Sample

1st row대구광역시 중구 포정동 16번지 무궁화백화점523호
2nd row대구광역시 중구 포정동 16번지 무궁화백화점528호
3rd row대구광역시 중구 태평로3가 211-1번지
4th row대구광역시 중구 전동 63-2번지
5th row대구광역시 중구 화전동 23-15번지 3층
ValueCountFrequency (%)
대구광역시 21
 
20.0%
중구 8
 
7.6%
북구 7
 
6.7%
포정동 3
 
2.9%
3층 2
 
1.9%
남구 2
 
1.9%
구암동 2
 
1.9%
769-1번지 2
 
1.9%
복현동 2
 
1.9%
달서구 2
 
1.9%
Other values (50) 54
51.4%
2023-12-11T03:39:52.434211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
101
18.5%
구 44
 
8.0%
1 25
 
4.6%
동 23
 
4.2%
대 22
 
4.0%
광 21
 
3.8%
역 21
 
3.8%
시 21
 
3.8%
번 21
 
3.8%
지 21
 
3.8%
Other values (60) 227
41.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 317
58.0%
Decimal Number 113
 
20.7%
Space Separator 101
 
18.5%
Dash Punctuation 16
 
2.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 44
13.9%
동 23
 
7.3%
대 22
 
6.9%
광 21
 
6.6%
역 21
 
6.6%
시 21
 
6.6%
번 21
 
6.6%
지 21
 
6.6%
중 9
 
2.8%
북 7
 
2.2%
Other values (48) 107
33.8%
Decimal Number
ValueCountFrequency (%)
1 25
22.1%
3 16
14.2%
6 11
9.7%
0 11
9.7%
2 11
9.7%
9 10
 
8.8%
7 9
 
8.0%
5 8
 
7.1%
4 8
 
7.1%
8 4
 
3.5%
Space Separator
ValueCountFrequency (%)
101
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 317
58.0%
Common 230
42.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 44
13.9%
동 23
 
7.3%
대 22
 
6.9%
광 21
 
6.6%
역 21
 
6.6%
시 21
 
6.6%
번 21
 
6.6%
지 21
 
6.6%
중 9
 
2.8%
북 7
 
2.2%
Other values (48) 107
33.8%
Common
ValueCountFrequency (%)
101
43.9%
1 25
 
10.9%
3 16
 
7.0%
- 16
 
7.0%
6 11
 
4.8%
0 11
 
4.8%
2 11
 
4.8%
9 10
 
4.3%
7 9
 
3.9%
5 8
 
3.5%
Other values (2) 12
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 317
58.0%
ASCII 230
42.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
101
43.9%
1 25
 
10.9%
3 16
 
7.0%
- 16
 
7.0%
6 11
 
4.8%
0 11
 
4.8%
2 11
 
4.8%
9 10
 
4.3%
7 9
 
3.9%
5 8
 
3.5%
Other values (2) 12
 
5.2%
Hangul
ValueCountFrequency (%)
구 44
13.9%
동 23
 
7.3%
대 22
 
6.9%
광 21
 
6.6%
역 21
 
6.6%
시 21
 
6.6%
번 21
 
6.6%
지 21
 
6.6%
중 9
 
2.8%
북 7
 
2.2%
Other values (48) 107
33.8%

도로명전체주소
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-12-11T03:39:52.858507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length36
Mean length30.047619
Min length20

Characters and Unicode

Total characters631
Distinct characters100
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)100.0%

Sample

1st row대구광역시 중구 경상감영길 111 (포정동)
2nd row대구광역시 중구 경상감영길 111 (포정동, 무궁화백화점528호)
3rd row대구광역시 중구 태평로 101 (태평로3가)
4th row대구광역시 중구 국채보상로 570-18 (전동)
5th row대구광역시 중구 교동길 6 (화전동)
ValueCountFrequency (%)
대구광역시 21
 
16.3%
중구 8
 
6.2%
북구 7
 
5.4%
경상감영길 3
 
2.3%
국채보상로 3
 
2.3%
111 2
 
1.6%
검단로 2
 
1.6%
50 2
 
1.6%
105동 2
 
1.6%
803호 2
 
1.6%
Other values (65) 77
59.7%
2023-12-11T03:39:53.558149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
110
 
17.4%
구 45
 
7.1%
동 28
 
4.4%
대 23
 
3.6%
1 22
 
3.5%
) 21
 
3.3%
( 21
 
3.3%
역 21
 
3.3%
광 21
 
3.3%
시 21
 
3.3%
Other values (90) 298
47.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 357
56.6%
Space Separator 110
 
17.4%
Decimal Number 101
 
16.0%
Close Punctuation 21
 
3.3%
Open Punctuation 21
 
3.3%
Other Punctuation 17
 
2.7%
Dash Punctuation 3
 
0.5%
Uppercase Letter 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 45
 
12.6%
동 28
 
7.8%
대 23
 
6.4%
역 21
 
5.9%
광 21
 
5.9%
시 21
 
5.9%
로 19
 
5.3%
중 9
 
2.5%
상 8
 
2.2%
호 7
 
2.0%
Other values (74) 155
43.4%
Decimal Number
ValueCountFrequency (%)
1 22
21.8%
0 17
16.8%
5 12
11.9%
3 12
11.9%
2 11
10.9%
7 6
 
5.9%
4 6
 
5.9%
6 5
 
5.0%
8 5
 
5.0%
9 5
 
5.0%
Space Separator
ValueCountFrequency (%)
110
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Other Punctuation
ValueCountFrequency (%)
, 17
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Uppercase Letter
ValueCountFrequency (%)
M 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 357
56.6%
Common 273
43.3%
Latin 1
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 45
 
12.6%
동 28
 
7.8%
대 23
 
6.4%
역 21
 
5.9%
광 21
 
5.9%
시 21
 
5.9%
로 19
 
5.3%
중 9
 
2.5%
상 8
 
2.2%
호 7
 
2.0%
Other values (74) 155
43.4%
Common
ValueCountFrequency (%)
110
40.3%
1 22
 
8.1%
) 21
 
7.7%
( 21
 
7.7%
0 17
 
6.2%
, 17
 
6.2%
5 12
 
4.4%
3 12
 
4.4%
2 11
 
4.0%
7 6
 
2.2%
Other values (5) 24
 
8.8%
Latin
ValueCountFrequency (%)
M 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 357
56.6%
ASCII 274
43.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
110
40.1%
1 22
 
8.0%
) 21
 
7.7%
( 21
 
7.7%
0 17
 
6.2%
, 17
 
6.2%
5 12
 
4.4%
3 12
 
4.4%
2 11
 
4.0%
7 6
 
2.2%
Other values (6) 25
 
9.1%
Hangul
ValueCountFrequency (%)
구 45
 
12.6%
동 28
 
7.8%
대 23
 
6.4%
역 21
 
5.9%
광 21
 
5.9%
시 21
 
5.9%
로 19
 
5.3%
중 9
 
2.5%
상 8
 
2.2%
호 7
 
2.0%
Other values (74) 155
43.4%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)84.2%
Missing2
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean493864.16
Minimum41423
Maximum706833
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-11T03:39:53.766122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41423
5-th percentile41513
Q142170.5
median700100
Q3702846
95-th percentile705925.8
Maximum706833
Range665410
Interquartile range (IQR)660675.5

Descriptive statistics

Standard deviation315546.24
Coefficient of variation (CV)0.63893327
Kurtosis-1.4185707
Mean493864.16
Median Absolute Deviation (MAD)3705
Skewness-0.86208384
Sum9383419
Variance9.956943 × 1010
MonotonicityNot monotonic
2023-12-11T03:39:53.994503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
700010 2
 
9.5%
41919 2
 
9.5%
702807 2
 
9.5%
700100 1
 
4.8%
703805 1
 
4.8%
42422 1
 
4.8%
705825 1
 
4.8%
700113 1
 
4.8%
41530 1
 
4.8%
41423 1
 
4.8%
Other values (6) 6
28.6%
(Missing) 2
 
9.5%
ValueCountFrequency (%)
41423 1
4.8%
41523 1
4.8%
41530 1
4.8%
41919 2
9.5%
42422 1
4.8%
700010 2
9.5%
700030 1
4.8%
700100 1
4.8%
700113 1
4.8%
702715 1
4.8%
ValueCountFrequency (%)
706833 1
4.8%
705825 1
4.8%
704743 1
4.8%
703805 1
4.8%
702885 1
4.8%
702807 2
9.5%
702715 1
4.8%
700113 1
4.8%
700100 1
4.8%
700030 1
4.8%

사업장명
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-12-11T03:39:54.304743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length12
Mean length7.6666667
Min length4

Characters and Unicode

Total characters161
Distinct characters76
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

Unique21 ?
Unique (%)100.0%

Sample

1st row중앙영상
2nd row대구영상
3rd row씨네소프트
4th row(주)대구시네마
5th row(주)엔에스엘무비
ValueCountFrequency (%)
주식회사 2
 
7.1%
중앙영상 1
 
3.6%
팔공영상 1
 
3.6%
영화와 1
 
3.6%
박상호영화필림 1
 
3.6%
asia 1
 
3.6%
hm 1
 
3.6%
heritage 1
 
3.6%
주)도시피디 1
 
3.6%
디엔제이엔터테인먼트 1
 
3.6%
Other values (17) 17
60.7%
2023-12-11T03:39:54.952406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
영 9
 
5.6%
7
 
4.3%
상 6
 
3.7%
주 6
 
3.7%
이 5
 
3.1%
엔 5
 
3.1%
대 4
 
2.5%
I 4
 
2.5%
사 4
 
2.5%
( 4
 
2.5%
Other values (66) 107
66.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 119
73.9%
Uppercase Letter 27
 
16.8%
Space Separator 7
 
4.3%
Open Punctuation 4
 
2.5%
Close Punctuation 4
 
2.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 9
 
7.6%
상 6
 
5.0%
주 6
 
5.0%
이 5
 
4.2%
엔 5
 
4.2%
대 4
 
3.4%
사 4
 
3.4%
화 4
 
3.4%
디 3
 
2.5%
회 3
 
2.5%
Other values (49) 70
58.8%
Uppercase Letter
ValueCountFrequency (%)
I 4
14.8%
H 3
11.1%
A 3
11.1%
E 3
11.1%
T 2
7.4%
S 2
7.4%
G 2
7.4%
R 2
7.4%
M 1
 
3.7%
J 1
 
3.7%
Other values (4) 4
14.8%
Space Separator
ValueCountFrequency (%)
7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 119
73.9%
Latin 27
 
16.8%
Common 15
 
9.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 9
 
7.6%
상 6
 
5.0%
주 6
 
5.0%
이 5
 
4.2%
엔 5
 
4.2%
대 4
 
3.4%
사 4
 
3.4%
화 4
 
3.4%
디 3
 
2.5%
회 3
 
2.5%
Other values (49) 70
58.8%
Latin
ValueCountFrequency (%)
I 4
14.8%
H 3
11.1%
A 3
11.1%
E 3
11.1%
T 2
7.4%
S 2
7.4%
G 2
7.4%
R 2
7.4%
M 1
 
3.7%
J 1
 
3.7%
Other values (4) 4
14.8%
Common
ValueCountFrequency (%)
7
46.7%
( 4
26.7%
) 4
26.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 119
73.9%
ASCII 42
 
26.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
영 9
 
7.6%
상 6
 
5.0%
주 6
 
5.0%
이 5
 
4.2%
엔 5
 
4.2%
대 4
 
3.4%
사 4
 
3.4%
화 4
 
3.4%
디 3
 
2.5%
회 3
 
2.5%
Other values (49) 70
58.8%
ASCII
ValueCountFrequency (%)
7
16.7%
I 4
9.5%
( 4
9.5%
) 4
9.5%
H 3
 
7.1%
A 3
 
7.1%
E 3
 
7.1%
T 2
 
4.8%
S 2
 
4.8%
G 2
 
4.8%
Other values (7) 8
19.0%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0150126 × 1013
Minimum2.0100706 × 1013
Maximum2.0200113 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-11T03:39:55.209373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0100706 × 1013
5-th percentile2.0110526 × 1013
Q12.0121108 × 1013
median2.0151014 × 1013
Q32.0170426 × 1013
95-th percentile2.0191212 × 1013
Maximum2.0200113 × 1013
Range9.9407003 × 1010
Interquartile range (IQR)4.9317948 × 1010

Descriptive statistics

Standard deviation3.1046893 × 1010
Coefficient of variation (CV)0.0015407791
Kurtosis-1.2084876
Mean2.0150126 × 1013
Median Absolute Deviation (MAD)2.9299001 × 1010
Skewness-0.034395998
Sum4.2315265 × 1014
Variance9.6390957 × 1020
MonotonicityNot monotonic
2023-12-11T03:39:55.466377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
20140318154450 1
 
4.8%
20140617171842 1
 
4.8%
20151014142912 1
 
4.8%
20110526103729 1
 
4.8%
20140203102254 1
 
4.8%
20170426150553 1
 
4.8%
20140411105643 1
 
4.8%
20170413175948 1
 
4.8%
20160711140415 1
 
4.8%
20160523114128 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
20100706143234 1
4.8%
20110526103729 1
4.8%
20111030142114 1
4.8%
20111030151528 1
4.8%
20111125183051 1
4.8%
20121108202844 1
4.8%
20140203102254 1
4.8%
20140318154450 1
4.8%
20140411105643 1
4.8%
20140617171842 1
4.8%
ValueCountFrequency (%)
20200113145750 1
4.8%
20191212151957 1
4.8%
20190409145037 1
4.8%
20190110111110 1
4.8%
20180313144231 1
4.8%
20170426150553 1
4.8%
20170413175948 1
4.8%
20160711140415 1
4.8%
20160523114128 1
4.8%
20160328163824 1
4.8%

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
I
19 
U
2 

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 19
90.5%
U 2
 
9.5%

Length

2023-12-11T03:39:55.699792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:39:55.850945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 19
90.5%
u 2
 
9.5%

데이터갱신일자
Date

Distinct5
Distinct (%)23.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
Minimum2018-08-31 23:59:59
Maximum2020-01-15 00:23:25
2023-12-11T03:39:56.024219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T03:39:56.201916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

좌표정보(X)
Real number (ℝ)

Distinct17
Distinct (%)81.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean342776.66
Minimum336954.22
Maximum346372.82
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-11T03:39:56.400346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum336954.22
5-th percentile339091.56
Q1341042.06
median343571.97
Q3343954.05
95-th percentile345948.62
Maximum346372.82
Range9418.6031
Interquartile range (IQR)2911.9833

Descriptive statistics

Standard deviation2442.104
Coefficient of variation (CV)0.0071244757
Kurtosis0.034751651
Mean342776.66
Median Absolute Deviation (MAD)2081.1767
Skewness-0.62171515
Sum7198309.8
Variance5963871.7
MonotonicityNot monotonic
2023-12-11T03:39:56.617012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
343843.928958 2
 
9.5%
341042.064148 2
 
9.5%
340718.253609 2
 
9.5%
345948.619573 2
 
9.5%
343418.6662 1
 
4.8%
336954.220302 1
 
4.8%
339091.564952 1
 
4.8%
346372.82338 1
 
4.8%
345250.756579 1
 
4.8%
341490.789047 1
 
4.8%
Other values (7) 7
33.3%
ValueCountFrequency (%)
336954.220302 1
4.8%
339091.564952 1
4.8%
340011.737583 1
4.8%
340718.253609 2
9.5%
341042.064148 2
9.5%
341490.789047 1
4.8%
343418.6662 1
4.8%
343471.43921 1
4.8%
343571.965699 1
4.8%
343781.971492 1
4.8%
ValueCountFrequency (%)
346372.82338 1
4.8%
345948.619573 2
9.5%
345250.756579 1
4.8%
344033.696103 1
4.8%
343954.047468 1
4.8%
343843.928958 2
9.5%
343800.362369 1
4.8%
343781.971492 1
4.8%
343571.965699 1
4.8%
343471.43921 1
4.8%

좌표정보(Y)
Real number (ℝ)

Distinct17
Distinct (%)81.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean266024.48
Minimum260495.83
Maximum272659.98
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-11T03:39:56.820227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum260495.83
5-th percentile261834.99
Q1263314.12
median264721.6
Q3268094.05
95-th percentile272659.98
Maximum272659.98
Range12164.145
Interquartile range (IQR)4779.9291

Descriptive statistics

Standard deviation3794.8615
Coefficient of variation (CV)0.014265084
Kurtosis-0.55598739
Mean266024.48
Median Absolute Deviation (MAD)1886.3961
Skewness0.76313575
Sum5586514
Variance14400974
MonotonicityNot monotonic
2023-12-11T03:39:57.021381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
264721.595597 2
 
9.5%
272450.218487 2
 
9.5%
272659.975074 2
 
9.5%
268094.048406 2
 
9.5%
265193.050485 1
 
4.8%
262321.195205 1
 
4.8%
260495.830517 1
 
4.8%
263314.119275 1
 
4.8%
268519.387279 1
 
4.8%
261834.990748 1
 
4.8%
Other values (7) 7
33.3%
ValueCountFrequency (%)
260495.830517 1
4.8%
261834.990748 1
4.8%
262321.195205 1
4.8%
262835.199453 1
4.8%
262938.891984 1
4.8%
263314.119275 1
4.8%
264499.217306 1
4.8%
264558.069261 1
4.8%
264582.776251 1
4.8%
264721.595597 2
9.5%
ValueCountFrequency (%)
272659.975074 2
9.5%
272450.218487 2
9.5%
268519.387279 1
4.8%
268094.048406 2
9.5%
265193.050485 1
4.8%
264824.100818 1
4.8%
264745.47733 1
4.8%
264721.595597 2
9.5%
264582.776251 1
4.8%
264558.069261 1
4.8%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
영화배급업
21 

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 21
100.0%

Length

2023-12-11T03:39:57.245798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:39:57.428914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화배급업 21
100.0%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

총층수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

시설면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

지상층수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

지하층수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

통로너비
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

조명시설조도
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

노래방실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

청소년실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

총게임기수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

최초등록시점
Real number (ℝ)

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20115717
Minimum20000328
Maximum20200113
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-11T03:39:57.635813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20000328
5-th percentile20000529
Q120090218
median20140318
Q320160523
95-th percentile20190220
Maximum20200113
Range199785
Interquartile range (IQR)70305

Descriptive statistics

Standard deviation63279.506
Coefficient of variation (CV)0.0031457743
Kurtosis-0.5465543
Mean20115717
Median Absolute Deviation (MAD)39995
Skewness-0.70503106
Sum4.2243005 × 108
Variance4.0042959 × 109
MonotonicityNot monotonic
2023-12-11T03:39:57.913673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
20140318 1
 
4.8%
20140321 1
 
4.8%
20150423 1
 
4.8%
20000529 1
 
4.8%
20110620 1
 
4.8%
20070911 1
 
4.8%
20140410 1
 
4.8%
20140519 1
 
4.8%
20120620 1
 
4.8%
20160523 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
20000328 1
4.8%
20000529 1
4.8%
20010202 1
4.8%
20021001 1
4.8%
20070911 1
4.8%
20090218 1
4.8%
20090819 1
4.8%
20110620 1
4.8%
20120620 1
4.8%
20120920 1
4.8%
ValueCountFrequency (%)
20200113 1
4.8%
20190220 1
4.8%
20190110 1
4.8%
20180313 1
4.8%
20160615 1
4.8%
20160523 1
4.8%
20150423 1
4.8%
20140519 1
4.8%
20140410 1
4.8%
20140321 1
4.8%

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

Sample

번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
01영화배급업03_13_01_P3410000CDFF521103201400000120140318<NA>1영업/정상13영업중<NA><NA><NA><NA>0532547108<NA>700010대구광역시 중구 포정동 16번지 무궁화백화점523호대구광역시 중구 경상감영길 111 (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>
12영화배급업03_13_01_P3410000CDFF521103201400000220140321<NA>3폐업3폐업20140617<NA><NA><NA><NA><NA><NA>대구광역시 중구 포정동 16번지 무궁화백화점528호대구광역시 중구 경상감영길 111 (포정동, 무궁화백화점528호)700010대구영상20140617171842I2018-08-31 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>20140321<NA>
23영화배급업03_13_01_P3410000CDFF521103200000000120000328<NA>1영업/정상13영업중<NA><NA><NA><NA>053-256-0528<NA><NA>대구광역시 중구 태평로3가 211-1번지대구광역시 중구 태평로 101 (태평로3가)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>
34영화배급업03_13_01_P3410000CDFF521103200100000120010202<NA>1영업/정상13영업중<NA><NA><NA><NA>053-428-1950<NA><NA>대구광역시 중구 전동 63-2번지대구광역시 중구 국채보상로 570-18 (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>
45영화배급업03_13_01_P3410000CDFF521103200200000120021001<NA>1영업/정상13영업중<NA><NA><NA><NA>053-424-7055<NA><NA>대구광역시 중구 화전동 23-15번지 3층대구광역시 중구 교동길 6 (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>
56영화배급업03_13_01_P3410000CDFF521103200900000120090819<NA>3폐업3폐업20100202<NA><NA><NA>02-3393-8896<NA><NA>대구광역시 중구 포정동 21-3번지 중앙상가 3층 315호대구광역시 중구 경상감영길 101 (포정동,중앙상가 3층 315호)<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>
67영화배급업03_13_01_P3410000CDFF521103201900000120190110<NA>1영업/정상13영업중<NA><NA><NA><NA>053-425-3553<NA><NA>대구광역시 중구 수동 1-6번지대구광역시 중구 국채보상로 537, 1층 (수동)41919대구경북영화영상사회적협동조합20190110111110I2019-01-12 02:20:46.0<NA>343471.43921264558.069261영화배급업<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>20190110<NA>
78영화배급업03_13_01_P3410000CDFF521103202000000120200113<NA>1영업/정상13영업중<NA><NA><NA><NA>053-424-0030<NA><NA>대구광역시 중구 종로1가 29-4번지대구광역시 중구 국채보상로 547 (종로1가)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>
89영화배급업03_13_01_P3430000CDFF521103201200000120120920<NA>1영업/정상13영업중<NA><NA><NA><NA>053-722-7007<NA>703805대구광역시 서구 내당동 463-62번지대구광역시 서구 달구벌대로 1691 (내당동, M플라자 4층)703805(주)나노아20121108202844I2018-08-31 23:59:59.0<NA>340011.737583262835.199453영화배급업<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>20120920<NA>
910영화배급업03_13_01_P3440000CDFF521103201800000120180313<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 남구 이천동 712-14번지 상아빌라트 203호대구광역시 남구 명덕로 228-15, 상아빌라트 2층 203호 (이천동)42422제이애드20180313144231I2018-08-31 23:59:59.0<NA>344033.696103262938.891984영화배급업<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>20180313<NA>
번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
1112영화배급업03_13_01_P3450000CDFF521103201900000120190220<NA>3폐업3폐업20191212<NA><NA><NA><NA><NA><NA>대구광역시 북구 복현동 539-110번지 복현서한타운대구광역시 북구 검단로 50, 105동 803호 (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>
1213영화배급업03_13_01_P3450000CDFF521103201600000220160615<NA>3폐업3폐업20190409<NA><NA><NA><NA><NA><NA>대구광역시 북구 복현동 539-110번지 서한아파트 105동 803호대구광역시 북구 검단로 50, 105동 803호 (복현동, 서한아파트)41530팔공영상20190409145037U2019-04-11 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>20160615<NA>
1314영화배급업03_13_01_P3450000CDFF521103201600000120160523<NA>1영업/정상13영업중<NA><NA><NA><NA>053-322-1500<NA><NA>대구광역시 북구 동천동 894-1번지대구광역시 북구 동암로 90 (동천동, 세븐밸리)41423주식회사 지원20160523114128I2018-08-31 23:59:59.0<NA>340718.253609272659.975074영화배급업<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>20160523<NA>
1415영화배급업03_13_01_P3450000CDFF521103201200000120120620<NA>3폐업3폐업20160630<NA><NA><NA>053-601-0601<NA><NA>대구광역시 북구 산격동 1667번지 4층 씨네스카이대구광역시 북구 유통단지로 60 (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>
1516영화배급업03_13_01_P3450000CDFF521103201400000220140519<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 북구 구암동 769-1번지 9층대구광역시 북구 학정로 422 (구암동)702807디엔케이 시네마20170413175948I2018-08-31 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>20140519<NA>
1617영화배급업03_13_01_P3450000CDFF521103201400000120140410<NA>1영업/정상13영업중<NA><NA><NA><NA>053-324-0600<NA><NA>대구광역시 북구 구암동 769-1번지대구광역시 북구 학정로 422, 7층 (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>
1718영화배급업03_13_01_P3450000CDFF521103200700000120070911<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 북구 동천동 894-1번지대구광역시 북구 동암로 90 (동천동)702885(주)도시피디20170426150553I2018-08-31 23:59:59.0<NA>340718.253609272659.975074영화배급업<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>20070911<NA>
1819영화배급업03_13_01_P3460000CDFF521103201100000120110620<NA>3폐업3폐업20140129<NA><NA><NA><NA><NA><NA>대구광역시 수성구 수성동3가 1번지 수성빌딩대구광역시 수성구 청솔로 137, 4층 (수성동3가, 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>
1920영화배급업03_13_01_P3470000CDFF521103200000000120000529<NA>3폐업3폐업20110525<NA><NA><NA>629-2029<NA><NA>대구광역시 달서구 본동 1077-1번지대구광역시 달서구 와룡로2길 56-3 (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>
2021영화배급업03_13_01_P3470000CDFF521103201500000120150423<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달서구 용산동 905번지 평화타운 302동 709호대구광역시 달서구 성서동로 350, 302동 709호 (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>