Overview

Dataset statistics

Number of variables59
Number of observations48
Missing cells1377
Missing cells (%)48.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory24.2 KiB
Average record size in memory516.8 B

Variable types

Numeric5
Categorical17
Text7
DateTime4
Unsupported26

Dataset

Description23년06월_6270000_대구광역시_03_13_05_P_영화제작업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000098652&dataSetDetailId=DDI_0000098663&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
폐업일자 has constant value ""Constant
문화체육업종명 has constant value ""Constant
영업상태구분코드 is highly imbalanced (75.0%)Imbalance
영업상태명 is highly imbalanced (75.0%)Imbalance
상세영업상태코드 is highly imbalanced (75.0%)Imbalance
상세영업상태명 is highly imbalanced (75.0%)Imbalance
인허가취소일자 has 48 (100.0%) missing valuesMissing
폐업일자 has 47 (97.9%) missing valuesMissing
휴업시작일자 has 48 (100.0%) missing valuesMissing
휴업종료일자 has 48 (100.0%) missing valuesMissing
재개업일자 has 48 (100.0%) missing valuesMissing
소재지전화 has 27 (56.2%) missing valuesMissing
소재지면적 has 48 (100.0%) missing valuesMissing
소재지우편번호 has 45 (93.8%) missing valuesMissing
도로명전체주소 has 2 (4.2%) missing valuesMissing
도로명우편번호 has 6 (12.5%) missing valuesMissing
업태구분명 has 48 (100.0%) missing valuesMissing
좌표정보(X) has 1 (2.1%) missing valuesMissing
좌표정보(Y) has 1 (2.1%) missing valuesMissing
문화사업자구분명 has 48 (100.0%) missing valuesMissing
주변환경명 has 48 (100.0%) missing valuesMissing
제작취급품목내용 has 48 (100.0%) missing valuesMissing
건물용도명 has 48 (100.0%) missing valuesMissing
비상계단여부 has 48 (100.0%) missing valuesMissing
비상구여부 has 48 (100.0%) missing valuesMissing
자동환기여부 has 48 (100.0%) missing valuesMissing
청소년실여부 has 48 (100.0%) missing valuesMissing
특수조명여부 has 48 (100.0%) missing valuesMissing
방음시설여부 has 48 (100.0%) missing valuesMissing
비디오재생기명 has 48 (100.0%) missing valuesMissing
조명시설유무 has 48 (100.0%) missing valuesMissing
음향시설여부 has 48 (100.0%) missing valuesMissing
편의시설여부 has 48 (100.0%) missing valuesMissing
소방시설여부 has 48 (100.0%) missing valuesMissing
기존게임업외업종명 has 48 (100.0%) missing valuesMissing
제공게임물명 has 48 (100.0%) missing valuesMissing
공연장형태구분명 has 48 (100.0%) missing valuesMissing
품목명 has 48 (100.0%) missing valuesMissing
지역구분명 has 48 (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 started2024-04-17 09:18:30.676210
Analysis finished2024-04-17 09:18:31.214223
Duration0.54 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.5
Minimum1
Maximum48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-04-17T18:18:31.275143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.35
Q112.75
median24.5
Q336.25
95-th percentile45.65
Maximum48
Range47
Interquartile range (IQR)23.5

Descriptive statistics

Standard deviation14
Coefficient of variation (CV)0.57142857
Kurtosis-1.2
Mean24.5
Median Absolute Deviation (MAD)12
Skewness0
Sum1176
Variance196
MonotonicityStrictly increasing
2024-04-17T18:18:31.391193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
1 1
 
2.1%
26 1
 
2.1%
28 1
 
2.1%
29 1
 
2.1%
30 1
 
2.1%
31 1
 
2.1%
32 1
 
2.1%
33 1
 
2.1%
34 1
 
2.1%
35 1
 
2.1%
Other values (38) 38
79.2%
ValueCountFrequency (%)
1 1
2.1%
2 1
2.1%
3 1
2.1%
4 1
2.1%
5 1
2.1%
6 1
2.1%
7 1
2.1%
8 1
2.1%
9 1
2.1%
10 1
2.1%
ValueCountFrequency (%)
48 1
2.1%
47 1
2.1%
46 1
2.1%
45 1
2.1%
44 1
2.1%
43 1
2.1%
42 1
2.1%
41 1
2.1%
40 1
2.1%
39 1
2.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size516.0 B
영화제작업
48 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영화제작업 48
100.0%

Length

2024-04-17T18:18:31.496540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T18:18:31.569083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화제작업 48
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size516.0 B
03_13_05_P
48 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row03_13_05_P
2nd row03_13_05_P
3rd row03_13_05_P
4th row03_13_05_P
5th row03_13_05_P

Common Values

ValueCountFrequency (%)
03_13_05_P 48
100.0%

Length

2024-04-17T18:18:31.646897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T18:18:31.721591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_13_05_p 48
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3436666.7
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-04-17T18:18:31.796913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13410000
median3440000
Q33452500
95-th percentile3470000
Maximum3480000
Range70000
Interquartile range (IQR)42500

Descriptive statistics

Standard deviation22722.501
Coefficient of variation (CV)0.006611785
Kurtosis-1.371186
Mean3436666.7
Median Absolute Deviation (MAD)20000
Skewness0.17115873
Sum1.6496 × 108
Variance5.1631206 × 108
MonotonicityIncreasing
2024-04-17T18:18:31.898498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3410000 14
29.2%
3440000 8
16.7%
3450000 7
14.6%
3420000 6
12.5%
3470000 6
12.5%
3460000 5
 
10.4%
3430000 1
 
2.1%
3480000 1
 
2.1%
ValueCountFrequency (%)
3410000 14
29.2%
3420000 6
12.5%
3430000 1
 
2.1%
3440000 8
16.7%
3450000 7
14.6%
3460000 5
 
10.4%
3470000 6
12.5%
3480000 1
 
2.1%
ValueCountFrequency (%)
3480000 1
 
2.1%
3470000 6
12.5%
3460000 5
 
10.4%
3450000 7
14.6%
3440000 8
16.7%
3430000 1
 
2.1%
3420000 6
12.5%
3410000 14
29.2%

관리번호
Text

Distinct26
Distinct (%)54.2%
Missing0
Missing (%)0.0%
Memory size516.0 B
2024-04-17T18:18:32.074016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters960
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

Unique14 ?
Unique (%)29.2%

Sample

1st rowCDFF5211012014000002
2nd rowCDFF5211012001000001
3rd rowCDFF5211012002000001
4th rowCDFF5211012002000002
5th rowCDFF5211011999000001
ValueCountFrequency (%)
cdff5211012014000001 4
 
8.3%
cdff5211012021000001 4
 
8.3%
cdff5211012019000001 4
 
8.3%
cdff5211012022000001 3
 
6.2%
cdff5211012002000001 3
 
6.2%
cdff5211011999000001 3
 
6.2%
cdff5211012023000001 3
 
6.2%
cdff5211012018000001 2
 
4.2%
cdff5211012014000002 2
 
4.2%
cdff5211012021000002 2
 
4.2%
Other values (16) 18
37.5%
2024-04-17T18:18:32.384919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 346
36.0%
1 209
21.8%
2 129
 
13.4%
F 96
 
10.0%
5 49
 
5.1%
C 48
 
5.0%
D 48
 
5.0%
9 17
 
1.8%
4 7
 
0.7%
3 5
 
0.5%
Other values (3) 6
 
0.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 768
80.0%
Uppercase Letter 192
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 346
45.1%
1 209
27.2%
2 129
 
16.8%
5 49
 
6.4%
9 17
 
2.2%
4 7
 
0.9%
3 5
 
0.7%
8 2
 
0.3%
7 2
 
0.3%
6 2
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
F 96
50.0%
C 48
25.0%
D 48
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 768
80.0%
Latin 192
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 346
45.1%
1 209
27.2%
2 129
 
16.8%
5 49
 
6.4%
9 17
 
2.2%
4 7
 
0.9%
3 5
 
0.7%
8 2
 
0.3%
7 2
 
0.3%
6 2
 
0.3%
Latin
ValueCountFrequency (%)
F 96
50.0%
C 48
25.0%
D 48
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 960
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 346
36.0%
1 209
21.8%
2 129
 
13.4%
F 96
 
10.0%
5 49
 
5.1%
C 48
 
5.0%
D 48
 
5.0%
9 17
 
1.8%
4 7
 
0.7%
3 5
 
0.5%
Other values (3) 6
 
0.6%

인허가일자
Date

UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size516.0 B
Minimum1999-09-18 00:00:00
Maximum2023-05-12 00:00:00
2024-04-17T18:18:32.746441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T18:18:32.863542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing48
Missing (%)100.0%
Memory size564.0 B

영업상태구분코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size516.0 B
1
46 
3
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 46
95.8%
3 2
 
4.2%

Length

2024-04-17T18:18:32.995998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T18:18:33.075194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 46
95.8%
3 2
 
4.2%

영업상태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size516.0 B
영업/정상
46 
폐업
 
2

Length

Max length5
Median length5
Mean length4.875
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 46
95.8%
폐업 2
 
4.2%

Length

2024-04-17T18:18:33.164226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T18:18:33.246683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 46
95.8%
폐업 2
 
4.2%

상세영업상태코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size516.0 B
13
46 
3
 
2

Length

Max length2
Median length2
Mean length1.9583333
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 46
95.8%
3 2
 
4.2%

Length

2024-04-17T18:18:33.335398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T18:18:33.412916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 46
95.8%
3 2
 
4.2%

상세영업상태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size516.0 B
영업중
46 
폐업
 
2

Length

Max length3
Median length3
Mean length2.9583333
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 46
95.8%
폐업 2
 
4.2%

Length

2024-04-17T18:18:33.497314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T18:18:33.593311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 46
95.8%
폐업 2
 
4.2%

폐업일자
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing47
Missing (%)97.9%
Memory size516.0 B
Minimum2014-06-17 00:00:00
Maximum2014-06-17 00:00:00
2024-04-17T18:18:33.658074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T18:18:33.738775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing48
Missing (%)100.0%
Memory size564.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing48
Missing (%)100.0%
Memory size564.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing48
Missing (%)100.0%
Memory size564.0 B

소재지전화
Text

MISSING 

Distinct21
Distinct (%)100.0%
Missing27
Missing (%)56.2%
Memory size516.0 B
2024-04-17T18:18:33.893274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.666667
Min length9

Characters and Unicode

Total characters245
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

Unique21 ?
Unique (%)100.0%

Sample

1st row053-426-3991
2nd row053-257-8740
3rd row053-424-7055
4th row053-423-8121
5th row0532547108
ValueCountFrequency (%)
053-426-3991 1
 
4.8%
053-942-8112 1
 
4.8%
02-787-2950 1
 
4.8%
053-606-6346 1
 
4.8%
053-629-0304 1
 
4.8%
070-7602-3113 1
 
4.8%
053-986-6513 1
 
4.8%
053-768-0135 1
 
4.8%
1661-5680 1
 
4.8%
053-628-0144 1
 
4.8%
Other values (11) 11
52.4%
2024-04-17T18:18:34.224849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 37
15.1%
0 32
13.1%
5 31
12.7%
3 29
11.8%
4 25
10.2%
2 24
9.8%
6 20
8.2%
1 15
6.1%
8 12
 
4.9%
7 11
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 208
84.9%
Dash Punctuation 37
 
15.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 32
15.4%
5 31
14.9%
3 29
13.9%
4 25
12.0%
2 24
11.5%
6 20
9.6%
1 15
7.2%
8 12
 
5.8%
7 11
 
5.3%
9 9
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 37
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 245
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 37
15.1%
0 32
13.1%
5 31
12.7%
3 29
11.8%
4 25
10.2%
2 24
9.8%
6 20
8.2%
1 15
6.1%
8 12
 
4.9%
7 11
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 245
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 37
15.1%
0 32
13.1%
5 31
12.7%
3 29
11.8%
4 25
10.2%
2 24
9.8%
6 20
8.2%
1 15
6.1%
8 12
 
4.9%
7 11
 
4.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing48
Missing (%)100.0%
Memory size564.0 B

소재지우편번호
Text

MISSING 

Distinct3
Distinct (%)100.0%
Missing45
Missing (%)93.8%
Memory size516.0 B
2024-04-17T18:18:34.347414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters21
Distinct characters8
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

Unique3 ?
Unique (%)100.0%

Sample

1st row700-413
2nd row702-812
3rd row702-717
ValueCountFrequency (%)
700-413 1
33.3%
702-812 1
33.3%
702-717 1
33.3%
2024-04-17T18:18:34.567306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 5
23.8%
0 4
19.0%
- 3
14.3%
1 3
14.3%
2 3
14.3%
4 1
 
4.8%
3 1
 
4.8%
8 1
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 18
85.7%
Dash Punctuation 3
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 5
27.8%
0 4
22.2%
1 3
16.7%
2 3
16.7%
4 1
 
5.6%
3 1
 
5.6%
8 1
 
5.6%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 21
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
7 5
23.8%
0 4
19.0%
- 3
14.3%
1 3
14.3%
2 3
14.3%
4 1
 
4.8%
3 1
 
4.8%
8 1
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 21
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 5
23.8%
0 4
19.0%
- 3
14.3%
1 3
14.3%
2 3
14.3%
4 1
 
4.8%
3 1
 
4.8%
8 1
 
4.8%

소재지전체주소
Text

Distinct46
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Memory size516.0 B
2024-04-17T18:18:34.772429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length32
Mean length26.354167
Min length16

Characters and Unicode

Total characters1265
Distinct characters140
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

Unique44 ?
Unique (%)91.7%

Sample

1st row대구광역시 중구 포정동 **번지
2nd row대구광역시 중구 삼덕동*가 ***-*번지 덕영빌딩 *층
3rd row대구광역시 중구 대봉동 ***-**번지 서전빌딩 ***호
4th row대구광역시 중구 화전동 **-**번지 *층
5th row대구광역시 중구 삼덕동*가 *-**번지
ValueCountFrequency (%)
대구광역시 48
20.2%
번지 30
 
12.6%
18
 
7.6%
중구 14
 
5.9%
호 11
 
4.6%
남구 8
 
3.4%
북구 7
 
2.9%
달서구 6
 
2.5%
동구 6
 
2.5%
대명동 6
 
2.5%
Other values (64) 84
35.3%
2024-04-17T18:18:35.123157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 257
20.3%
227
17.9%
구 101
 
8.0%
대 65
 
5.1%
동 62
 
4.9%
시 52
 
4.1%
역 50
 
4.0%
광 49
 
3.9%
- 35
 
2.8%
지 33
 
2.6%
Other values (130) 334
26.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 739
58.4%
Other Punctuation 257
 
20.3%
Space Separator 227
 
17.9%
Dash Punctuation 35
 
2.8%
Open Punctuation 2
 
0.2%
Close Punctuation 2
 
0.2%
Uppercase Letter 2
 
0.2%
Lowercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 101
 
13.7%
대 65
 
8.8%
동 62
 
8.4%
시 52
 
7.0%
역 50
 
6.8%
광 49
 
6.6%
지 33
 
4.5%
번 30
 
4.1%
중 15
 
2.0%
호 12
 
1.6%
Other values (122) 270
36.5%
Uppercase Letter
ValueCountFrequency (%)
W 1
50.0%
S 1
50.0%
Other Punctuation
ValueCountFrequency (%)
* 257
100.0%
Space Separator
ValueCountFrequency (%)
227
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 35
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 739
58.4%
Common 523
41.3%
Latin 3
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 101
 
13.7%
대 65
 
8.8%
동 62
 
8.4%
시 52
 
7.0%
역 50
 
6.8%
광 49
 
6.6%
지 33
 
4.5%
번 30
 
4.1%
중 15
 
2.0%
호 12
 
1.6%
Other values (122) 270
36.5%
Common
ValueCountFrequency (%)
* 257
49.1%
227
43.4%
- 35
 
6.7%
( 2
 
0.4%
) 2
 
0.4%
Latin
ValueCountFrequency (%)
W 1
33.3%
S 1
33.3%
e 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 739
58.4%
ASCII 526
41.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 257
48.9%
227
43.2%
- 35
 
6.7%
( 2
 
0.4%
) 2
 
0.4%
W 1
 
0.2%
S 1
 
0.2%
e 1
 
0.2%
Hangul
ValueCountFrequency (%)
구 101
 
13.7%
대 65
 
8.8%
동 62
 
8.4%
시 52
 
7.0%
역 50
 
6.8%
광 49
 
6.6%
지 33
 
4.5%
번 30
 
4.1%
중 15
 
2.0%
호 12
 
1.6%
Other values (122) 270
36.5%

도로명전체주소
Text

MISSING 

Distinct42
Distinct (%)91.3%
Missing2
Missing (%)4.2%
Memory size516.0 B
2024-04-17T18:18:35.375266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length40
Mean length33.586957
Min length20

Characters and Unicode

Total characters1545
Distinct characters158
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

Unique38 ?
Unique (%)82.6%

Sample

1st row대구광역시 중구 경상감영길 *** (포정동, 무궁화백화점***호)
2nd row대구광역시 중구 동덕로 ** (대봉동)
3rd row대구광역시 중구 교동길 * (화전동)
4th row대구광역시 중구 동성로*길 *-** (삼덕동*가)
5th row대구광역시 중구 경상감영길 *** (포정동, 무궁화백화점***호)
ValueCountFrequency (%)
대구광역시 46
 
15.6%
46
 
15.6%
호 21
 
7.1%
중구 13
 
4.4%
층 12
 
4.1%
동 10
 
3.4%
북구 7
 
2.4%
남구 7
 
2.4%
달서구 6
 
2.0%
동구 6
 
2.0%
Other values (98) 121
41.0%
2024-04-17T18:18:35.763680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 289
18.7%
251
16.2%
구 98
 
6.3%
동 73
 
4.7%
대 64
 
4.1%
시 51
 
3.3%
역 47
 
3.0%
, 46
 
3.0%
광 46
 
3.0%
( 46
 
3.0%
Other values (148) 534
34.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 852
55.1%
Other Punctuation 335
 
21.7%
Space Separator 251
 
16.2%
Open Punctuation 46
 
3.0%
Close Punctuation 46
 
3.0%
Dash Punctuation 12
 
0.8%
Uppercase Letter 2
 
0.1%
Lowercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 98
 
11.5%
동 73
 
8.6%
대 64
 
7.5%
시 51
 
6.0%
역 47
 
5.5%
광 46
 
5.4%
로 44
 
5.2%
길 23
 
2.7%
호 23
 
2.7%
성 18
 
2.1%
Other values (139) 365
42.8%
Other Punctuation
ValueCountFrequency (%)
* 289
86.3%
, 46
 
13.7%
Uppercase Letter
ValueCountFrequency (%)
W 1
50.0%
S 1
50.0%
Space Separator
ValueCountFrequency (%)
251
100.0%
Open Punctuation
ValueCountFrequency (%)
( 46
100.0%
Close Punctuation
ValueCountFrequency (%)
) 46
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 852
55.1%
Common 690
44.7%
Latin 3
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 98
 
11.5%
동 73
 
8.6%
대 64
 
7.5%
시 51
 
6.0%
역 47
 
5.5%
광 46
 
5.4%
로 44
 
5.2%
길 23
 
2.7%
호 23
 
2.7%
성 18
 
2.1%
Other values (139) 365
42.8%
Common
ValueCountFrequency (%)
* 289
41.9%
251
36.4%
, 46
 
6.7%
( 46
 
6.7%
) 46
 
6.7%
- 12
 
1.7%
Latin
ValueCountFrequency (%)
W 1
33.3%
S 1
33.3%
e 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 852
55.1%
ASCII 693
44.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 289
41.7%
251
36.2%
, 46
 
6.6%
( 46
 
6.6%
) 46
 
6.6%
- 12
 
1.7%
W 1
 
0.1%
S 1
 
0.1%
e 1
 
0.1%
Hangul
ValueCountFrequency (%)
구 98
 
11.5%
동 73
 
8.6%
대 64
 
7.5%
시 51
 
6.0%
역 47
 
5.5%
광 46
 
5.4%
로 44
 
5.2%
길 23
 
2.7%
호 23
 
2.7%
성 18
 
2.1%
Other values (139) 365
42.8%

도로명우편번호
Text

MISSING 

Distinct36
Distinct (%)85.7%
Missing6
Missing (%)12.5%
Memory size516.0 B
2024-04-17T18:18:35.959824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.7142857
Min length5

Characters and Unicode

Total characters240
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

Unique30 ?
Unique (%)71.4%

Sample

1st row700-010
2nd row700-811
3rd row700-100
4th row700-411
5th row700-010
ValueCountFrequency (%)
42250 2
 
4.8%
41907 2
 
4.8%
41919 2
 
4.8%
41921 2
 
4.8%
700-010 2
 
4.8%
41485 2
 
4.8%
705-751 1
 
2.4%
41447 1
 
2.4%
704-833 1
 
2.4%
704-873 1
 
2.4%
Other values (26) 26
61.9%
2024-04-17T18:18:36.274308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 44
18.3%
0 35
14.6%
1 34
14.2%
7 29
12.1%
2 27
11.2%
8 15
 
6.2%
- 15
 
6.2%
9 14
 
5.8%
5 13
 
5.4%
3 9
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 225
93.8%
Dash Punctuation 15
 
6.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 44
19.6%
0 35
15.6%
1 34
15.1%
7 29
12.9%
2 27
12.0%
8 15
 
6.7%
9 14
 
6.2%
5 13
 
5.8%
3 9
 
4.0%
6 5
 
2.2%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 240
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 44
18.3%
0 35
14.6%
1 34
14.2%
7 29
12.1%
2 27
11.2%
8 15
 
6.2%
- 15
 
6.2%
9 14
 
5.8%
5 13
 
5.4%
3 9
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 240
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 44
18.3%
0 35
14.6%
1 34
14.2%
7 29
12.1%
2 27
11.2%
8 15
 
6.2%
- 15
 
6.2%
9 14
 
5.8%
5 13
 
5.4%
3 9
 
3.8%

사업장명
Text

UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size516.0 B
2024-04-17T18:18:36.479102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length11.5
Mean length7.25
Min length2

Characters and Unicode

Total characters348
Distinct characters157
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

Unique48 ?
Unique (%)100.0%

Sample

1st row대구영상
2nd row바바루픽쳐스
3rd row씨네비젼
4th row(주)엔에스엘무비
5th row세라필름
ValueCountFrequency (%)
주식회사 5
 
8.3%
대구영상 1
 
1.7%
한신공영(주 1
 
1.7%
신원필름 1
 
1.7%
엠피즈 1
 
1.7%
주)씨온플러스 1
 
1.7%
시율 1
 
1.7%
유나이티드코리아 1
 
1.7%
브레드프로덕션 1
 
1.7%
대명필름 1
 
1.7%
Other values (46) 46
76.7%
2024-04-17T18:18:36.808799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 13
 
3.7%
12
 
3.4%
사 10
 
2.9%
이 9
 
2.6%
영 9
 
2.6%
) 9
 
2.6%
( 9
 
2.6%
회 9
 
2.6%
스 8
 
2.3%
필 6
 
1.7%
Other values (147) 254
73.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 289
83.0%
Uppercase Letter 18
 
5.2%
Space Separator 12
 
3.4%
Close Punctuation 9
 
2.6%
Open Punctuation 9
 
2.6%
Lowercase Letter 8
 
2.3%
Decimal Number 3
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 13
 
4.5%
사 10
 
3.5%
이 9
 
3.1%
영 9
 
3.1%
회 9
 
3.1%
스 8
 
2.8%
필 6
 
2.1%
름 6
 
2.1%
대 6
 
2.1%
화 6
 
2.1%
Other values (122) 207
71.6%
Uppercase Letter
ValueCountFrequency (%)
I 2
11.1%
A 2
11.1%
S 2
11.1%
N 2
11.1%
B 1
 
5.6%
R 1
 
5.6%
E 1
 
5.6%
M 1
 
5.6%
W 1
 
5.6%
U 1
 
5.6%
Other values (4) 4
22.2%
Lowercase Letter
ValueCountFrequency (%)
i 2
25.0%
l 2
25.0%
e 2
25.0%
s 1
12.5%
d 1
12.5%
Decimal Number
ValueCountFrequency (%)
2 1
33.3%
8 1
33.3%
1 1
33.3%
Space Separator
ValueCountFrequency (%)
12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 289
83.0%
Common 33
 
9.5%
Latin 26
 
7.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 13
 
4.5%
사 10
 
3.5%
이 9
 
3.1%
영 9
 
3.1%
회 9
 
3.1%
스 8
 
2.8%
필 6
 
2.1%
름 6
 
2.1%
대 6
 
2.1%
화 6
 
2.1%
Other values (122) 207
71.6%
Latin
ValueCountFrequency (%)
i 2
 
7.7%
l 2
 
7.7%
e 2
 
7.7%
I 2
 
7.7%
A 2
 
7.7%
S 2
 
7.7%
N 2
 
7.7%
B 1
 
3.8%
R 1
 
3.8%
s 1
 
3.8%
Other values (9) 9
34.6%
Common
ValueCountFrequency (%)
12
36.4%
) 9
27.3%
( 9
27.3%
2 1
 
3.0%
8 1
 
3.0%
1 1
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 289
83.0%
ASCII 59
 
17.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 13
 
4.5%
사 10
 
3.5%
이 9
 
3.1%
영 9
 
3.1%
회 9
 
3.1%
스 8
 
2.8%
필 6
 
2.1%
름 6
 
2.1%
대 6
 
2.1%
화 6
 
2.1%
Other values (122) 207
71.6%
ASCII
ValueCountFrequency (%)
12
20.3%
) 9
15.3%
( 9
15.3%
i 2
 
3.4%
l 2
 
3.4%
e 2
 
3.4%
I 2
 
3.4%
A 2
 
3.4%
S 2
 
3.4%
N 2
 
3.4%
Other values (15) 15
25.4%

최종수정시점
Date

UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size516.0 B
Minimum2010-04-27 09:59:18
Maximum2023-05-12 15:37:13
2024-04-17T18:18:36.946038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T18:18:37.067599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)

데이터갱신구분
Categorical

Distinct2
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size516.0 B
I
42 
U
6 

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 42
87.5%
U 6
 
12.5%

Length

2024-04-17T18:18:37.175879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T18:18:37.256227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 42
87.5%
u 6
 
12.5%

데이터갱신일자
Date

Distinct26
Distinct (%)54.2%
Missing0
Missing (%)0.0%
Memory size516.0 B
Minimum2018-08-31 23:59:59
Maximum2023-05-14 00:19:51
2024-04-17T18:18:37.347651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T18:18:37.456636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing48
Missing (%)100.0%
Memory size564.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct43
Distinct (%)91.5%
Missing1
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean343531.78
Minimum331616.74
Maximum354954.68
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-04-17T18:18:37.573858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum331616.74
5-th percentile338505.4
Q1340757.12
median343571.97
Q3345356.71
95-th percentile351838.57
Maximum354954.68
Range23337.931
Interquartile range (IQR)4599.5897

Descriptive statistics

Standard deviation4196.1658
Coefficient of variation (CV)0.012214782
Kurtosis1.4553048
Mean343531.78
Median Absolute Deviation (MAD)2081.1767
Skewness0.23625962
Sum16145994
Variance17607808
MonotonicityNot monotonic
2024-04-17T18:18:37.716240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
343843.928958189 2
 
4.2%
342930.413532899 2
 
4.2%
338868.491865837 2
 
4.2%
342896.534691761 2
 
4.2%
345350.422154052 1
 
2.1%
343471.439210573 1
 
2.1%
343954.047468396 1
 
2.1%
339947.943498128 1
 
2.1%
341874.054708805 1
 
2.1%
340718.253608761 1
 
2.1%
Other values (33) 33
68.8%
ValueCountFrequency (%)
331616.744310328 1
2.1%
336653.73641331 1
2.1%
338349.790169056 1
2.1%
338868.491865837 2
4.2%
339360.50053877 1
2.1%
339491.433147887 1
2.1%
339522.233081974 1
2.1%
339591.362226534 1
2.1%
339846.030385296 1
2.1%
339947.943498128 1
2.1%
ValueCountFrequency (%)
354954.675712937 1
2.1%
352029.766745041 1
2.1%
351947.673906674 1
2.1%
351584.002356049 1
2.1%
348178.201156783 1
2.1%
348162.5961636 1
2.1%
346898.738694606 1
2.1%
346671.596783715 1
2.1%
345935.881126141 1
2.1%
345793.823397634 1
2.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct43
Distinct (%)91.5%
Missing1
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean263487.35
Minimum244975.83
Maximum272659.98
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-04-17T18:18:37.835389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum244975.83
5-th percentile259214.99
Q1261266.16
median264094.89
Q3265021.17
95-th percentile269475.25
Maximum272659.98
Range27684.144
Interquartile range (IQR)3755.005

Descriptive statistics

Standard deviation4146.4077
Coefficient of variation (CV)0.015736648
Kurtosis8.0245018
Mean263487.35
Median Absolute Deviation (MAD)2185.7912
Skewness-1.5391953
Sum12383906
Variance17192697
MonotonicityNot monotonic
2024-04-17T18:18:37.956336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
264721.595596762 2
 
4.2%
264710.290235751 2
 
4.2%
268226.271090716 2
 
4.2%
262605.751581988 2
 
4.2%
264469.883831167 1
 
2.1%
264558.069260648 1
 
2.1%
264824.10081843 1
 
2.1%
269932.234132657 1
 
2.1%
266472.271850213 1
 
2.1%
272659.975074019 1
 
2.1%
Other values (33) 33
68.8%
ValueCountFrequency (%)
244975.83076738 1
2.1%
258571.48721664 1
2.1%
259065.976416888 1
2.1%
259562.689567462 1
2.1%
259722.52682193 1
2.1%
260217.873760141 1
2.1%
260479.646796183 1
2.1%
260817.556904635 1
2.1%
260858.23809065 1
2.1%
261157.452819932 1
2.1%
ValueCountFrequency (%)
272659.975074019 1
2.1%
271486.362848943 1
2.1%
269932.234132657 1
2.1%
268408.951404422 1
2.1%
268226.271090716 2
4.2%
266472.271850213 1
2.1%
266406.071123773 1
2.1%
266280.681012761 1
2.1%
265471.633965081 1
2.1%
265316.933687616 1
2.1%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size516.0 B
영화제작업
48 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영화제작업 48
100.0%

Length

2024-04-17T18:18:38.075930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T18:18:38.152136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화제작업 48
100.0%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing48
Missing (%)100.0%
Memory size564.0 B

총층수
Categorical

Distinct2
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size516.0 B
<NA>
37 
0
11 

Length

Max length4
Median length4
Mean length3.3125
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 37
77.1%
0 11
 
22.9%

Length

2024-04-17T18:18:38.243469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T18:18:38.333867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 37
77.1%
0 11
 
22.9%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing48
Missing (%)100.0%
Memory size564.0 B

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing48
Missing (%)100.0%
Memory size564.0 B

시설면적
Categorical

Distinct2
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size516.0 B
<NA>
37 
0
11 

Length

Max length4
Median length4
Mean length3.3125
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 37
77.1%
0 11
 
22.9%

Length

2024-04-17T18:18:38.431089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T18:18:38.517620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 37
77.1%
0 11
 
22.9%

지상층수
Categorical

Distinct2
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size516.0 B
<NA>
37 
0
11 

Length

Max length4
Median length4
Mean length3.3125
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 37
77.1%
0 11
 
22.9%

Length

2024-04-17T18:18:38.612761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T18:18:38.699753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 37
77.1%
0 11
 
22.9%

지하층수
Categorical

Distinct2
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size516.0 B
<NA>
37 
0
11 

Length

Max length4
Median length4
Mean length3.3125
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 37
77.1%
0 11
 
22.9%

Length

2024-04-17T18:18:38.790776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T18:18:38.885170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 37
77.1%
0 11
 
22.9%

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing48
Missing (%)100.0%
Memory size564.0 B

통로너비
Categorical

Distinct2
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size516.0 B
<NA>
37 
0
11 

Length

Max length4
Median length4
Mean length3.3125
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 37
77.1%
0 11
 
22.9%

Length

2024-04-17T18:18:38.996242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T18:18:39.082509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 37
77.1%
0 11
 
22.9%

조명시설조도
Categorical

Distinct2
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size516.0 B
<NA>
37 
0
11 

Length

Max length4
Median length4
Mean length3.3125
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 37
77.1%
0 11
 
22.9%

Length

2024-04-17T18:18:39.176755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T18:18:39.261867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 37
77.1%
0 11
 
22.9%

노래방실수
Categorical

Distinct2
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size516.0 B
<NA>
37 
0
11 

Length

Max length4
Median length4
Mean length3.3125
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 37
77.1%
0 11
 
22.9%

Length

2024-04-17T18:18:39.355769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T18:18:39.440382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 37
77.1%
0 11
 
22.9%

청소년실수
Categorical

Distinct2
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size516.0 B
<NA>
37 
0
11 

Length

Max length4
Median length4
Mean length3.3125
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 37
77.1%
0 11
 
22.9%

Length

2024-04-17T18:18:39.538751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T18:18:39.915771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 37
77.1%
0 11
 
22.9%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing48
Missing (%)100.0%
Memory size564.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing48
Missing (%)100.0%
Memory size564.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing48
Missing (%)100.0%
Memory size564.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing48
Missing (%)100.0%
Memory size564.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing48
Missing (%)100.0%
Memory size564.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing48
Missing (%)100.0%
Memory size564.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing48
Missing (%)100.0%
Memory size564.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing48
Missing (%)100.0%
Memory size564.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing48
Missing (%)100.0%
Memory size564.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing48
Missing (%)100.0%
Memory size564.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing48
Missing (%)100.0%
Memory size564.0 B

총게임기수
Categorical

Distinct2
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size516.0 B
<NA>
37 
0
11 

Length

Max length4
Median length4
Mean length3.3125
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 37
77.1%
0 11
 
22.9%

Length

2024-04-17T18:18:40.008454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T18:18:40.100356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 37
77.1%
0 11
 
22.9%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing48
Missing (%)100.0%
Memory size564.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing48
Missing (%)100.0%
Memory size564.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing48
Missing (%)100.0%
Memory size564.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing48
Missing (%)100.0%
Memory size564.0 B

최초등록시점
Real number (ℝ)

UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20140069
Minimum19990918
Maximum20230512
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-04-17T18:18:40.210876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19990918
5-th percentile19997828
Q120085325
median20165459
Q320200844
95-th percentile20220951
Maximum20230512
Range239594
Interquartile range (IQR)115518.75

Descriptive statistics

Standard deviation76860.773
Coefficient of variation (CV)0.0038163113
Kurtosis-0.85208664
Mean20140069
Median Absolute Deviation (MAD)45006.5
Skewness-0.75237551
Sum9.6672332 × 108
Variance5.9075784 × 109
MonotonicityNot monotonic
2024-04-17T18:18:40.337323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
20140321 1
 
2.1%
20141222 1
 
2.1%
20190507 1
 
2.1%
20140523 1
 
2.1%
20150907 1
 
2.1%
20181024 1
 
2.1%
20190621 1
 
2.1%
19991119 1
 
2.1%
20210427 1
 
2.1%
20070911 1
 
2.1%
Other values (38) 38
79.2%
ValueCountFrequency (%)
19990918 1
2.1%
19991119 1
2.1%
19991214 1
2.1%
20010112 1
2.1%
20020326 1
2.1%
20020411 1
2.1%
20020716 1
2.1%
20021001 1
2.1%
20031201 1
2.1%
20040920 1
2.1%
ValueCountFrequency (%)
20230512 1
2.1%
20230322 1
2.1%
20221125 1
2.1%
20220628 1
2.1%
20220414 1
2.1%
20211214 1
2.1%
20211130 1
2.1%
20211110 1
2.1%
20210813 1
2.1%
20210504 1
2.1%

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing48
Missing (%)100.0%
Memory size564.0 B

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
01영화제작업03_13_05_P3410000CDFF52110120140000022014-03-21<NA>3폐업3폐업2014-06-17<NA><NA><NA><NA><NA><NA>대구광역시 중구 포정동 **번지대구광역시 중구 경상감영길 *** (포정동, 무궁화백화점***호)700-010대구영상2014-06-17 17:18:06I2018-08-31 23:59:59<NA>343843.928958264721.595597영화제작업<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>
12영화제작업03_13_05_P3410000CDFF52110120010000012001-01-12<NA>1영업/정상13영업중<NA><NA><NA><NA>053-426-3991<NA>700-413대구광역시 중구 삼덕동*가 ***-*번지 덕영빌딩 *층<NA><NA>바바루픽쳐스2010-07-06 13:48:55I2018-08-31 23:59:59<NA><NA><NA>영화제작업<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>20010112<NA>
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45영화제작업03_13_05_P3410000CDFF52110119990000011999-09-18<NA>1영업/정상13영업중<NA><NA><NA><NA>053-423-8121<NA><NA>대구광역시 중구 삼덕동*가 *-**번지대구광역시 중구 동성로*길 *-** (삼덕동*가)700-411세라필름2011-10-30 14:17:43I2018-08-31 23:59:59<NA>344031.621256264271.888889영화제작업<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>19990918<NA>
56영화제작업03_13_05_P3410000CDFF52110120140000012014-03-19<NA>1영업/정상13영업중<NA><NA><NA><NA>0532547108<NA><NA>대구광역시 중구 포정동 **번지 무궁화백화점***호대구광역시 중구 경상감영길 *** (포정동, 무궁화백화점***호)700-010중앙영상2014-03-19 09:38:35I2018-08-31 23:59:59<NA>343843.928958264721.595597영화제작업<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>20140319<NA>
67영화제작업03_13_05_P3410000CDFF52110120210000012019-10-15<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 동인동*가 ***-** 단독주택(다가구)대구광역시 중구 동덕로**길 ***-*, 파크빌 ***호 (동인동*가)41907주식회사 콘텐츠페어2021-05-20 13:57:56U2021-05-22 02:40:00<NA>345350.422154264469.883831영화제작업<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>20191015<NA>
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910영화제작업03_13_05_P3410000CDFF52110120220000022022-04-14<NA>1영업/정상13영업중<NA><NA><NA><NA>0536294424<NA><NA>대구광역시 중구 시장북로 **-*대구광역시 중구 서성로**길 **-*, *층 (시장북로)41921협동조합 컨티뉴이티2022-12-09 09:50:41U2022-12-11 02:40:00<NA>342930.413533264710.290236영화제작업<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>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
3839영화제작업03_13_05_P3460000CDFF52110120230000012019-05-03<NA>1영업/정상13영업중<NA><NA><NA><NA>053-986-6513<NA><NA>대구광역시 수성구 대흥동 ***-* ***호대구광역시 수성구 알파시티*로**길 **, ***호 (대흥동)42250반사(BANSA)2023-05-02 11:48:31I2023-05-04 00:20:00<NA>352029.766745261161.690894영화제작업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>20190503<NA>
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4041영화제작업03_13_05_P3460000CDFF52110120030000012003-12-01<NA>1영업/정상13영업중<NA><NA><NA><NA>053-629-0304<NA><NA>대구광역시 수성구 파동 ***-**번지 ***호대구광역시 수성구 파동로**길 **, ***호 (파동)<NA>(주)자우엔터테인먼트2010-10-28 13:37:29I2018-08-31 23:59:59<NA>345793.823398258571.487217영화제작업<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>20031201<NA>
4142영화제작업03_13_05_P3470000CDFF52110120180000012017-05-12<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달서구 본동 ***번지 대구공업대학교대구광역시 달서구 송현로 ***, 대구공업대학교 창업보육센터 ***호 (본동)42734(주)영화사삼형제2019-11-25 16:02:32U2019-11-27 02:40:00<NA>339360.500539260479.646796영화제작업<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>20170512<NA>
4243영화제작업03_13_05_P3470000CDFF52110120200000012020-07-16<NA>1영업/정상13영업중<NA><NA><NA><NA>053-606-6346<NA><NA>대구광역시 달서구 성당동 *** 대구광역시문화예술회관대구광역시 달서구 공원순환로 *** (성당동)42672대구광역시문화예술회관2020-07-16 09:10:05I2020-07-18 00:23:15<NA>340795.977161261627.701492영화제작업<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>20200716<NA>
4344영화제작업03_13_05_P3470000CDFF52110120140000012014-01-07<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달서구 송현동 ****번지 *동 ***호대구광역시 달서구 송현로**길 ** (송현동)704-873가람필름2014-01-07 13:18:03I2018-08-31 23:59:59<NA>339491.433148259562.689567영화제작업<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>20140107<NA>
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4546영화제작업03_13_05_P3470000CDFF52110120020000012002-04-11<NA>1영업/정상13영업중<NA><NA><NA><NA>053-521-6734<NA><NA>대구광역시 달서구 본리동 ***번지 현대백조 ***동 ***호대구광역시 달서구 와룡로**길 **, ***동 ***호 (본리동,현대백조)<NA>아틀란티스엔터테인먼트2010-11-11 13:50:46I2018-08-31 23:59:59<NA>338349.790169261157.45282영화제작업<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>20020411<NA>
4647영화제작업03_13_05_P3470000CDFF52110120220000012022-06-28<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달서구 성당동 *** 성당 래미안 e-편한세상대구광역시 달서구 장기로 ***, ***동 ****호 (성당동, 성당 래미안 e-편한세상)42677영화문2022-06-28 10:06:20I2022-06-30 00:22:30<NA>339591.362227261345.783582영화제작업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>20220628<NA>
4748영화제작업03_13_05_P3480000CDFF52110120220000012022-11-25<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 현풍읍 중리 *** 대구테크노폴리스남해오네뜨*차대구광역시 달성군 현풍읍 테크노북로*길 **, ***동 *층 ***호 (대구테크노폴리스남해오네뜨*차)42995스카이코어2022-11-25 09:07:38I2022-11-27 00:22:23<NA>331616.74431244975.830767영화제작업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>20221125<NA>