Overview

Dataset statistics

Number of variables59
Number of observations55
Missing cells1609
Missing cells (%)49.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory27.8 KiB
Average record size in memory517.4 B

Variable types

Numeric4
Categorical19
Text5
DateTime3
Unsupported28

Dataset

Description23년09월_6270000_대구광역시_03_14_05_P_음반물제작업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000100793&dataSetDetailId=DDI_0000100806&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
개방자치단체코드 has constant value ""Constant
문화체육업종명 has constant value ""Constant
총층수 has constant value ""Constant
시설면적 has constant value ""Constant
지상층수 has constant value ""Constant
지하층수 has constant value ""Constant
통로너비 has constant value ""Constant
조명시설조도 has constant value ""Constant
노래방실수 has constant value ""Constant
청소년실수 has constant value ""Constant
총게임기수 has constant value ""Constant
인허가취소일자 has 55 (100.0%) missing valuesMissing
폐업일자 has 43 (78.2%) missing valuesMissing
휴업시작일자 has 55 (100.0%) missing valuesMissing
휴업종료일자 has 55 (100.0%) missing valuesMissing
재개업일자 has 55 (100.0%) missing valuesMissing
소재지전화 has 19 (34.5%) missing valuesMissing
소재지면적 has 55 (100.0%) missing valuesMissing
소재지우편번호 has 55 (100.0%) missing valuesMissing
도로명전체주소 has 5 (9.1%) missing valuesMissing
도로명우편번호 has 55 (100.0%) missing valuesMissing
업태구분명 has 55 (100.0%) missing valuesMissing
좌표정보(X) has 1 (1.8%) missing valuesMissing
좌표정보(Y) has 1 (1.8%) missing valuesMissing
문화사업자구분명 has 55 (100.0%) missing valuesMissing
주변환경명 has 55 (100.0%) missing valuesMissing
제작취급품목내용 has 55 (100.0%) missing valuesMissing
건물용도명 has 55 (100.0%) missing valuesMissing
비상계단여부 has 55 (100.0%) missing valuesMissing
비상구여부 has 55 (100.0%) missing valuesMissing
자동환기여부 has 55 (100.0%) missing valuesMissing
청소년실여부 has 55 (100.0%) missing valuesMissing
특수조명여부 has 55 (100.0%) missing valuesMissing
방음시설여부 has 55 (100.0%) missing valuesMissing
비디오재생기명 has 55 (100.0%) missing valuesMissing
조명시설유무 has 55 (100.0%) missing valuesMissing
음향시설여부 has 55 (100.0%) missing valuesMissing
편의시설여부 has 55 (100.0%) missing valuesMissing
소방시설여부 has 55 (100.0%) missing valuesMissing
기존게임업외업종명 has 55 (100.0%) missing valuesMissing
제공게임물명 has 55 (100.0%) missing valuesMissing
공연장형태구분명 has 55 (100.0%) missing valuesMissing
최초등록시점 has 55 (100.0%) missing valuesMissing
지역구분명 has 55 (100.0%) missing valuesMissing
번호 has unique valuesUnique
관리번호 has unique valuesUnique
최종수정시점 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
소재지우편번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
도로명우편번호 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
최초등록시점 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 started2023-10-21 05:59:09.499200
Analysis finished2023-10-21 05:59:11.922616
Duration2.42 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct55
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28
Minimum1
Maximum55
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size627.0 B
2023-10-21T05:59:12.436889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.7
Q114.5
median28
Q341.5
95-th percentile52.3
Maximum55
Range54
Interquartile range (IQR)27

Descriptive statistics

Standard deviation16.02082
Coefficient of variation (CV)0.57217214
Kurtosis-1.2
Mean28
Median Absolute Deviation (MAD)14
Skewness0
Sum1540
Variance256.66667
MonotonicityStrictly increasing
2023-10-21T05:59:13.660947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.8%
2 1
 
1.8%
31 1
 
1.8%
32 1
 
1.8%
33 1
 
1.8%
34 1
 
1.8%
35 1
 
1.8%
36 1
 
1.8%
37 1
 
1.8%
38 1
 
1.8%
Other values (45) 45
81.8%
ValueCountFrequency (%)
1 1
1.8%
2 1
1.8%
3 1
1.8%
4 1
1.8%
5 1
1.8%
6 1
1.8%
7 1
1.8%
8 1
1.8%
9 1
1.8%
10 1
1.8%
ValueCountFrequency (%)
55 1
1.8%
54 1
1.8%
53 1
1.8%
52 1
1.8%
51 1
1.8%
50 1
1.8%
49 1
1.8%
48 1
1.8%
47 1
1.8%
46 1
1.8%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size572.0 B
음반물제작업
55 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
음반물제작업 55
100.0%

Length

2023-10-21T05:59:14.332645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T05:59:15.011781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
음반물제작업 55
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size572.0 B
03_14_05_P
55 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row03_14_05_P
2nd row03_14_05_P
3rd row03_14_05_P
4th row03_14_05_P
5th row03_14_05_P

Common Values

ValueCountFrequency (%)
03_14_05_P 55
100.0%

Length

2023-10-21T05:59:15.568143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T05:59:16.046508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_14_05_p 55
100.0%

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size572.0 B
6270000
55 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row6270000
2nd row6270000
3rd row6270000
4th row6270000
5th row6270000

Common Values

ValueCountFrequency (%)
6270000 55
100.0%

Length

2023-10-21T05:59:16.783891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T05:59:17.369213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
6270000 55
100.0%

관리번호
Text

UNIQUE 

Distinct55
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size572.0 B
2023-10-21T05:59:17.937194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length15
Mean length15
Min length15

Characters and Unicode

Total characters825
Distinct characters11
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

Unique55 ?
Unique (%)100.0%

Sample

1st rowM01012018000002
2nd rowM01012019000001
3rd rowM01012009000001
4th rowM01012019000003
5th rowM01012019000002
ValueCountFrequency (%)
m01012018000002 1
 
1.8%
m01012008000003 1
 
1.8%
m01012008000004 1
 
1.8%
m01012008000005 1
 
1.8%
m01012015000003 1
 
1.8%
m01012015000005 1
 
1.8%
m01012020000006 1
 
1.8%
m01012006000001 1
 
1.8%
m01012006000002 1
 
1.8%
m01012006000004 1
 
1.8%
Other values (45) 45
81.8%
2023-10-21T05:59:19.311852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 471
57.1%
1 150
 
18.2%
2 71
 
8.6%
M 55
 
6.7%
6 20
 
2.4%
9 11
 
1.3%
5 11
 
1.3%
3 10
 
1.2%
4 9
 
1.1%
7 9
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 770
93.3%
Uppercase Letter 55
 
6.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 471
61.2%
1 150
 
19.5%
2 71
 
9.2%
6 20
 
2.6%
9 11
 
1.4%
5 11
 
1.4%
3 10
 
1.3%
4 9
 
1.2%
7 9
 
1.2%
8 8
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
M 55
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 770
93.3%
Latin 55
 
6.7%

Most frequent character per script

Common
ValueCountFrequency (%)
0 471
61.2%
1 150
 
19.5%
2 71
 
9.2%
6 20
 
2.6%
9 11
 
1.4%
5 11
 
1.4%
3 10
 
1.3%
4 9
 
1.2%
7 9
 
1.2%
8 8
 
1.0%
Latin
ValueCountFrequency (%)
M 55
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 825
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 471
57.1%
1 150
 
18.2%
2 71
 
8.6%
M 55
 
6.7%
6 20
 
2.4%
9 11
 
1.3%
5 11
 
1.3%
3 10
 
1.2%
4 9
 
1.1%
7 9
 
1.1%

인허가일자
Date

Distinct42
Distinct (%)76.4%
Missing0
Missing (%)0.0%
Memory size572.0 B
Minimum2006-07-15 00:00:00
Maximum2020-09-18 00:00:00
2023-10-21T05:59:20.252668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-21T05:59:21.186077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

영업상태구분코드
Categorical

Distinct3
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Memory size572.0 B
1
43 
3
10 
4
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 43
78.2%
3 10
 
18.2%
4 2
 
3.6%

Length

2023-10-21T05:59:21.562588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T05:59:21.976598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 43
78.2%
3 10
 
18.2%
4 2
 
3.6%

영업상태명
Categorical

Distinct3
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Memory size572.0 B
영업/정상
43 
폐업
10 
취소/말소/만료/정지/중지
 
2

Length

Max length14
Median length5
Mean length4.7818182
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 43
78.2%
폐업 10
 
18.2%
취소/말소/만료/정지/중지 2
 
3.6%

Length

2023-10-21T05:59:22.556228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T05:59:23.125186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 43
78.2%
폐업 10
 
18.2%
취소/말소/만료/정지/중지 2
 
3.6%

상세영업상태코드
Categorical

Distinct3
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Memory size572.0 B
1
43 
3
10 
C
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 43
78.2%
3 10
 
18.2%
C 2
 
3.6%

Length

2023-10-21T05:59:23.588446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T05:59:23.991088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 43
78.2%
3 10
 
18.2%
c 2
 
3.6%

상세영업상태명
Categorical

Distinct3
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Memory size572.0 B
영업
43 
폐업
10 
직권말소
 
2

Length

Max length4
Median length2
Mean length2.0727273
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업 43
78.2%
폐업 10
 
18.2%
직권말소 2
 
3.6%

Length

2023-10-21T05:59:24.588457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T05:59:25.237347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 43
78.2%
폐업 10
 
18.2%
직권말소 2
 
3.6%

폐업일자
Date

MISSING 

Distinct11
Distinct (%)91.7%
Missing43
Missing (%)78.2%
Memory size572.0 B
Minimum2007-03-13 00:00:00
Maximum2019-05-14 00:00:00
2023-10-21T05:59:25.648629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-21T05:59:26.145072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

소재지전화
Real number (ℝ)

MISSING 

Distinct36
Distinct (%)100.0%
Missing19
Missing (%)34.5%
Infinite0
Infinite (%)0.0%
Mean7.0236538 × 108
Minimum16615680
Maximum7.0435148 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size627.0 B
2023-10-21T05:59:27.182148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16615680
5-th percentile5.3239151 × 108
Q15.3422587 × 108
median5.3652001 × 108
Q35.3758488 × 108
95-th percentile5.3968016 × 108
Maximum7.0435148 × 109
Range7.0268991 × 109
Interquartile range (IQR)3359008.8

Descriptive statistics

Standard deviation1.0904949 × 109
Coefficient of variation (CV)1.5526035
Kurtosis35.511676
Mean7.0236538 × 108
Median Absolute Deviation (MAD)1241254.5
Skewness5.937066
Sum2.5285154 × 1010
Variance1.1891792 × 1018
MonotonicityNot monotonic
2023-10-21T05:59:27.760985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
535615000 1
 
1.8%
536249362 1
 
1.8%
537559537 1
 
1.8%
534254097 1
 
1.8%
537422180 1
 
1.8%
536533377 1
 
1.8%
539625931 1
 
1.8%
534214253 1
 
1.8%
536242238 1
 
1.8%
534751177 1
 
1.8%
Other values (26) 26
47.3%
(Missing) 19
34.5%
ValueCountFrequency (%)
16615680 1
1.8%
532151234 1
1.8%
532471600 1
1.8%
532567104 1
1.8%
532625429 1
1.8%
532896516 1
1.8%
532924589 1
1.8%
534214253 1
1.8%
534215848 1
1.8%
534229212 1
1.8%
ValueCountFrequency (%)
7043514797 1
1.8%
539842838 1
1.8%
539625931 1
1.8%
539543744 1
1.8%
537933217 1
1.8%
537848222 1
1.8%
537674300 1
1.8%
537664334 1
1.8%
537660908 1
1.8%
537559537 1
1.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

소재지전체주소
Text

Distinct42
Distinct (%)76.4%
Missing0
Missing (%)0.0%
Memory size572.0 B
2023-10-21T05:59:28.335359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length36
Mean length23.163636
Min length4

Characters and Unicode

Total characters1274
Distinct characters82
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)67.3%

Sample

1st row대구광역시 북구 태전동 ***번지 **호
2nd row대구광역시 동구 동호동 ***번지 *호
3rd row대구광역시 수성구 두산동 ***번지 *호 (주)대구방송빌딩, *층
4th row대구광역시 동구 입석동 ***번지 **호
5th row대구광역시 중구 삼덕동*가 **번지 *호
ValueCountFrequency (%)
대구광역시 49
18.9%
번지 49
18.9%
호 40
15.4%
남구 14
 
5.4%
대명동 13
 
5.0%
수성구 11
 
4.2%
동구 9
 
3.5%
층 7
 
2.7%
중구 7
 
2.7%
달서구 3
 
1.2%
Other values (41) 57
22.0%
2023-10-21T05:59:29.356752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
317
24.9%
* 227
17.8%
구 102
 
8.0%
대 69
 
5.4%
동 60
 
4.7%
지 53
 
4.2%
광 49
 
3.8%
역 49
 
3.8%
시 49
 
3.8%
번 49
 
3.8%
Other values (72) 250
19.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 725
56.9%
Space Separator 317
24.9%
Other Punctuation 228
 
17.9%
Uppercase Letter 2
 
0.2%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 102
14.1%
대 69
 
9.5%
동 60
 
8.3%
지 53
 
7.3%
광 49
 
6.8%
역 49
 
6.8%
시 49
 
6.8%
번 49
 
6.8%
호 42
 
5.8%
남 17
 
2.3%
Other values (66) 186
25.7%
Other Punctuation
ValueCountFrequency (%)
* 227
99.6%
, 1
 
0.4%
Space Separator
ValueCountFrequency (%)
317
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 725
56.9%
Common 547
42.9%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 102
14.1%
대 69
 
9.5%
동 60
 
8.3%
지 53
 
7.3%
광 49
 
6.8%
역 49
 
6.8%
시 49
 
6.8%
번 49
 
6.8%
호 42
 
5.8%
남 17
 
2.3%
Other values (66) 186
25.7%
Common
ValueCountFrequency (%)
317
58.0%
* 227
41.5%
, 1
 
0.2%
( 1
 
0.2%
) 1
 
0.2%
Latin
ValueCountFrequency (%)
B 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 725
56.9%
ASCII 549
43.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
317
57.7%
* 227
41.3%
B 2
 
0.4%
, 1
 
0.2%
( 1
 
0.2%
) 1
 
0.2%
Hangul
ValueCountFrequency (%)
구 102
14.1%
대 69
 
9.5%
동 60
 
8.3%
지 53
 
7.3%
광 49
 
6.8%
역 49
 
6.8%
시 49
 
6.8%
번 49
 
6.8%
호 42
 
5.8%
남 17
 
2.3%
Other values (66) 186
25.7%

도로명전체주소
Text

MISSING 

Distinct48
Distinct (%)96.0%
Missing5
Missing (%)9.1%
Memory size572.0 B
2023-10-21T05:59:29.945654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length40
Mean length28.9
Min length21

Characters and Unicode

Total characters1445
Distinct characters112
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique46 ?
Unique (%)92.0%

Sample

1st row대구광역시 북구 학정로 ***-* (태전동)
2nd row대구광역시 동구 금강로 **-*, *층 (동호동)
3rd row대구광역시 수성구 동대구로 **, *층 (두산동,(주)대구방송빌딩)
4th row대구광역시 동구 공항로 ***-*, *층 ***호 (입석동)
5th row대구광역시 중구 동성로*길 **-* (삼덕동*가)
ValueCountFrequency (%)
대구광역시 50
18.1%
50
18.1%
남구 14
 
5.1%
층 13
 
4.7%
수성구 11
 
4.0%
대명동 10
 
3.6%
호 9
 
3.2%
중구 8
 
2.9%
명덕로 6
 
2.2%
동구 6
 
2.2%
Other values (70) 100
36.1%
2023-10-21T05:59:30.953718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 228
15.8%
227
15.7%
구 112
 
7.8%
대 85
 
5.9%
동 64
 
4.4%
역 51
 
3.5%
) 51
 
3.5%
( 51
 
3.5%
광 50
 
3.5%
시 50
 
3.5%
Other values (102) 476
32.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 839
58.1%
Other Punctuation 259
 
17.9%
Space Separator 227
 
15.7%
Close Punctuation 51
 
3.5%
Open Punctuation 51
 
3.5%
Dash Punctuation 16
 
1.1%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 112
 
13.3%
대 85
 
10.1%
동 64
 
7.6%
역 51
 
6.1%
광 50
 
6.0%
시 50
 
6.0%
로 48
 
5.7%
길 24
 
2.9%
명 23
 
2.7%
성 21
 
2.5%
Other values (95) 311
37.1%
Other Punctuation
ValueCountFrequency (%)
* 228
88.0%
, 31
 
12.0%
Space Separator
ValueCountFrequency (%)
227
100.0%
Close Punctuation
ValueCountFrequency (%)
) 51
100.0%
Open Punctuation
ValueCountFrequency (%)
( 51
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 839
58.1%
Common 604
41.8%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 112
 
13.3%
대 85
 
10.1%
동 64
 
7.6%
역 51
 
6.1%
광 50
 
6.0%
시 50
 
6.0%
로 48
 
5.7%
길 24
 
2.9%
명 23
 
2.7%
성 21
 
2.5%
Other values (95) 311
37.1%
Common
ValueCountFrequency (%)
* 228
37.7%
227
37.6%
) 51
 
8.4%
( 51
 
8.4%
, 31
 
5.1%
- 16
 
2.6%
Latin
ValueCountFrequency (%)
B 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 839
58.1%
ASCII 606
41.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 228
37.6%
227
37.5%
) 51
 
8.4%
( 51
 
8.4%
, 31
 
5.1%
- 16
 
2.6%
B 2
 
0.3%
Hangul
ValueCountFrequency (%)
구 112
 
13.3%
대 85
 
10.1%
동 64
 
7.6%
역 51
 
6.1%
광 50
 
6.0%
시 50
 
6.0%
로 48
 
5.7%
길 24
 
2.9%
명 23
 
2.7%
성 21
 
2.5%
Other values (95) 311
37.1%

도로명우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

사업장명
Text

Distinct54
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size572.0 B
2023-10-21T05:59:31.515916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length13
Mean length7.8181818
Min length4

Characters and Unicode

Total characters430
Distinct characters149
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

Unique53 ?
Unique (%)96.4%

Sample

1st row(주)아트판타지아
2nd row에쿠스노래뮤비방
3rd row채널나인
4th row반사(BANSA)
5th row삼덕놀이터
ValueCountFrequency (%)
주식회사 5
 
6.3%
목화노래뮤비방 2
 
2.5%
m 2
 
2.5%
스튜디오 2
 
2.5%
홍당무노래뮤비방 1
 
1.3%
삼영불교음반 1
 
1.3%
대웅음반 1
 
1.3%
세진미디어 1
 
1.3%
마더미디어 1
 
1.3%
팀팍(teampark 1
 
1.3%
Other values (62) 62
78.5%
2023-10-21T05:59:33.102515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
24
 
5.6%
) 14
 
3.3%
( 14
 
3.3%
주 13
 
3.0%
디 12
 
2.8%
뮤 10
 
2.3%
스 9
 
2.1%
노 9
 
2.1%
사 9
 
2.1%
미 8
 
1.9%
Other values (139) 308
71.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 317
73.7%
Uppercase Letter 51
 
11.9%
Space Separator 24
 
5.6%
Close Punctuation 14
 
3.3%
Open Punctuation 14
 
3.3%
Lowercase Letter 7
 
1.6%
Other Punctuation 3
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 13
 
4.1%
디 12
 
3.8%
뮤 10
 
3.2%
스 9
 
2.8%
노 9
 
2.8%
사 9
 
2.8%
미 8
 
2.5%
래 8
 
2.5%
방 7
 
2.2%
트 7
 
2.2%
Other values (112) 225
71.0%
Uppercase Letter
ValueCountFrequency (%)
A 7
13.7%
M 7
13.7%
S 5
9.8%
C 4
7.8%
E 4
7.8%
J 3
 
5.9%
K 3
 
5.9%
R 3
 
5.9%
N 3
 
5.9%
D 3
 
5.9%
Other values (6) 9
17.6%
Lowercase Letter
ValueCountFrequency (%)
e 1
14.3%
d 1
14.3%
i 1
14.3%
a 1
14.3%
t 1
14.3%
s 1
14.3%
u 1
14.3%
Space Separator
ValueCountFrequency (%)
24
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 317
73.7%
Latin 58
 
13.5%
Common 55
 
12.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 13
 
4.1%
디 12
 
3.8%
뮤 10
 
3.2%
스 9
 
2.8%
노 9
 
2.8%
사 9
 
2.8%
미 8
 
2.5%
래 8
 
2.5%
방 7
 
2.2%
트 7
 
2.2%
Other values (112) 225
71.0%
Latin
ValueCountFrequency (%)
A 7
12.1%
M 7
12.1%
S 5
 
8.6%
C 4
 
6.9%
E 4
 
6.9%
J 3
 
5.2%
K 3
 
5.2%
R 3
 
5.2%
N 3
 
5.2%
D 3
 
5.2%
Other values (13) 16
27.6%
Common
ValueCountFrequency (%)
24
43.6%
) 14
25.5%
( 14
25.5%
. 3
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 317
73.7%
ASCII 113
 
26.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
24
21.2%
) 14
12.4%
( 14
12.4%
A 7
 
6.2%
M 7
 
6.2%
S 5
 
4.4%
C 4
 
3.5%
E 4
 
3.5%
J 3
 
2.7%
K 3
 
2.7%
Other values (17) 28
24.8%
Hangul
ValueCountFrequency (%)
주 13
 
4.1%
디 12
 
3.8%
뮤 10
 
3.2%
스 9
 
2.8%
노 9
 
2.8%
사 9
 
2.8%
미 8
 
2.5%
래 8
 
2.5%
방 7
 
2.2%
트 7
 
2.2%
Other values (112) 225
71.0%

최종수정시점
Date

UNIQUE 

Distinct55
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size572.0 B
Minimum2006-07-18 12:38:01
Maximum2021-08-02 14:19:46
2023-10-21T05:59:34.132282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-21T05:59:34.849491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size572.0 B
I
46 
U
9 

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 46
83.6%
U 9
 
16.4%

Length

2023-10-21T05:59:35.216573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T05:59:35.516850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 46
83.6%
u 9
 
16.4%

데이터갱신일자
Categorical

Distinct16
Distinct (%)29.1%
Missing0
Missing (%)0.0%
Memory size572.0 B
2018-08-31 23:59:59
37 
2020-12-30 02:40:00
4 
2018-11-07 02:36:31
 
1
2019-02-15 02:21:21
 
1
2019-08-18 02:22:04
 
1
Other values (11)
11 

Length

Max length19
Median length19
Mean length19
Min length19

Unique

Unique14 ?
Unique (%)25.5%

Sample

1st row2018-11-07 02:36:31
2nd row2019-02-15 02:21:21
3rd row2018-08-31 23:59:59
4th row2019-08-18 02:22:04
5th row2019-08-04 02:21:53

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59 37
67.3%
2020-12-30 02:40:00 4
 
7.3%
2018-11-07 02:36:31 1
 
1.8%
2019-02-15 02:21:21 1
 
1.8%
2019-08-18 02:22:04 1
 
1.8%
2019-08-04 02:21:53 1
 
1.8%
2019-11-22 00:23:20 1
 
1.8%
2020-03-01 00:23:23 1
 
1.8%
2020-05-10 00:23:20 1
 
1.8%
2020-04-29 00:23:20 1
 
1.8%
Other values (6) 6
 
10.9%

Length

2023-10-21T05:59:36.355702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 37
33.6%
23:59:59 37
33.6%
02:40:00 9
 
8.2%
2020-12-30 4
 
3.6%
00:23:20 3
 
2.7%
00:23:23 1
 
0.9%
2019-05-16 1
 
0.9%
2021-01-20 1
 
0.9%
00:23:15 1
 
0.9%
2020-07-24 1
 
0.9%
Other values (15) 15
13.6%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct49
Distinct (%)90.7%
Missing1
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean344362.55
Minimum335829.27
Maximum355671.83
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size627.0 B
2023-10-21T05:59:37.072675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum335829.27
5-th percentile339902.15
Q1342666.77
median343744.09
Q3346647.77
95-th percentile348629.13
Maximum355671.83
Range19842.559
Interquartile range (IQR)3980.9948

Descriptive statistics

Standard deviation3508.0171
Coefficient of variation (CV)0.010186988
Kurtosis2.0771995
Mean344362.55
Median Absolute Deviation (MAD)2031.4215
Skewness0.5354631
Sum18595578
Variance12306184
MonotonicityNot monotonic
2023-10-21T05:59:37.923280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
342974.037122597 2
 
3.6%
342756.201272373 2
 
3.6%
341269.072428108 2
 
3.6%
342655.198796769 2
 
3.6%
342632.844134809 2
 
3.6%
339947.943498128 1
 
1.8%
343536.849104656 1
 
1.8%
347966.919075363 1
 
1.8%
346052.837640338 1
 
1.8%
336113.313538079 1
 
1.8%
Other values (39) 39
70.9%
ValueCountFrequency (%)
335829.274636933 1
1.8%
336113.313538079 1
1.8%
339817.103024021 1
1.8%
339947.943498128 1
1.8%
340513.936057453 1
1.8%
340529.956202237 1
1.8%
341137.678630336 1
1.8%
341269.072428108 2
3.6%
341881.927255091 1
1.8%
342632.844134809 2
3.6%
ValueCountFrequency (%)
355671.833565 1
1.8%
353753.700728207 1
1.8%
348665.873374859 1
1.8%
348609.345598426 1
1.8%
348337.430803126 1
1.8%
348285.363568148 1
1.8%
347966.919075363 1
1.8%
347855.797028124 1
1.8%
347814.338869261 1
1.8%
347552.824437657 1
1.8%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct49
Distinct (%)90.7%
Missing1
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean263203.25
Minimum257842.92
Maximum277700.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size627.0 B
2023-10-21T05:59:38.540096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum257842.92
5-th percentile259236.88
Q1261963.11
median262954.75
Q3264135.16
95-th percentile267012.18
Maximum277700.9
Range19857.982
Interquartile range (IQR)2172.0527

Descriptive statistics

Standard deviation2930.1251
Coefficient of variation (CV)0.011132557
Kurtosis10.842067
Mean263203.25
Median Absolute Deviation (MAD)1130.8963
Skewness2.3635075
Sum14212975
Variance8585633.2
MonotonicityNot monotonic
2023-10-21T05:59:39.241525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
262935.615063045 2
 
3.6%
262448.230076066 2
 
3.6%
263400.741871288 2
 
3.6%
261979.05555734 2
 
3.6%
262643.90217311 2
 
3.6%
269932.234132657 1
 
1.8%
262992.919756617 1
 
1.8%
259374.777677398 1
 
1.8%
260995.631001679 1
 
1.8%
257842.919130292 1
 
1.8%
Other values (39) 39
70.9%
ValueCountFrequency (%)
257842.919130292 1
1.8%
258768.418757212 1
1.8%
258980.784098352 1
1.8%
259374.777677398 1
1.8%
259607.799141399 1
1.8%
260357.649369045 1
1.8%
260995.631001679 1
1.8%
261056.730780684 1
1.8%
261086.107395922 1
1.8%
261289.605725514 1
1.8%
ValueCountFrequency (%)
277700.900956561 1
1.8%
269932.234132657 1
1.8%
267127.705839063 1
1.8%
266949.969932007 1
1.8%
266015.065008318 1
1.8%
265798.74243242 1
1.8%
265148.428612456 1
1.8%
265047.498266788 1
1.8%
265015.707610205 1
1.8%
264843.003409272 1
1.8%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size572.0 B
음반물제작업
55 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
음반물제작업 55
100.0%

Length

2023-10-21T05:59:39.900523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T05:59:40.381046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
음반물제작업 55
100.0%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

총층수
Categorical

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size572.0 B
0
55 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 55
100.0%

Length

2023-10-21T05:59:41.013023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T05:59:41.479257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 55
100.0%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

시설면적
Categorical

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size572.0 B
0
55 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 55
100.0%

Length

2023-10-21T05:59:42.067970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T05:59:42.622845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 55
100.0%

지상층수
Categorical

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size572.0 B
0
55 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 55
100.0%

Length

2023-10-21T05:59:43.209428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T05:59:43.769905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 55
100.0%

지하층수
Categorical

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size572.0 B
0
55 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 55
100.0%

Length

2023-10-21T05:59:44.163647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T05:59:44.684879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 55
100.0%

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

통로너비
Categorical

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size572.0 B
0
55 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 55
100.0%

Length

2023-10-21T05:59:45.495883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T05:59:46.214419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 55
100.0%

조명시설조도
Categorical

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size572.0 B
0
55 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 55
100.0%

Length

2023-10-21T05:59:46.964562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T05:59:47.732112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 55
100.0%

노래방실수
Categorical

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size572.0 B
0
55 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 55
100.0%

Length

2023-10-21T05:59:48.294973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T05:59:48.976698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 55
100.0%

청소년실수
Categorical

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size572.0 B
0
55 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 55
100.0%

Length

2023-10-21T05:59:49.736115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T05:59:50.458001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 55
100.0%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

총게임기수
Categorical

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size572.0 B
0
55 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 55
100.0%

Length

2023-10-21T05:59:50.965796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T05:59:51.442559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 55
100.0%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

품목명
Text

Distinct34
Distinct (%)61.8%
Missing0
Missing (%)0.0%
Memory size572.0 B
2023-10-21T05:59:52.144636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length39
Mean length9.9636364
Min length2

Characters and Unicode

Total characters548
Distinct characters102
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)54.5%

Sample

1st row음반물, 홍보영상물 제작
2nd row음악영상물, 음악영상파일, usb
3rd row음반. 음악영상물 제작
4th row대중가요, 영상음악, Commercial Song, Film Score
5th row음반, 음악영상물 제작
ValueCountFrequency (%)
음반 27
20.9%
제작 14
 
10.9%
음악영상물 8
 
6.2%
음반물 7
 
5.4%
음반음악영상물 4
 
3.1%
제작업 4
 
3.1%
및 3
 
2.3%
음반,음악영상물 3
 
2.3%
3
 
2.3%
등 3
 
2.3%
Other values (46) 53
41.1%
2023-10-21T05:59:53.642453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
음 77
14.1%
72
13.1%
반 46
 
8.4%
물 30
 
5.5%
영 29
 
5.3%
, 29
 
5.3%
상 27
 
4.9%
악 25
 
4.6%
제 24
 
4.4%
작 24
 
4.4%
Other values (92) 165
30.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 382
69.7%
Space Separator 72
 
13.1%
Other Punctuation 39
 
7.1%
Lowercase Letter 22
 
4.0%
Uppercase Letter 13
 
2.4%
Decimal Number 8
 
1.5%
Open Punctuation 4
 
0.7%
Close Punctuation 4
 
0.7%
Control 4
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
음 77
20.2%
반 46
12.0%
물 30
 
7.9%
영 29
 
7.6%
상 27
 
7.1%
악 25
 
6.5%
제 24
 
6.3%
작 24
 
6.3%
대 6
 
1.6%
업 5
 
1.3%
Other values (57) 89
23.3%
Lowercase Letter
ValueCountFrequency (%)
m 3
13.6%
o 3
13.6%
l 2
9.1%
e 2
9.1%
r 2
9.1%
c 2
9.1%
i 2
9.1%
u 1
 
4.5%
s 1
 
4.5%
n 1
 
4.5%
Other values (3) 3
13.6%
Uppercase Letter
ValueCountFrequency (%)
S 3
23.1%
R 3
23.1%
A 1
 
7.7%
V 1
 
7.7%
F 1
 
7.7%
M 1
 
7.7%
U 1
 
7.7%
B 1
 
7.7%
C 1
 
7.7%
Decimal Number
ValueCountFrequency (%)
1 2
25.0%
0 2
25.0%
2 2
25.0%
9 1
12.5%
3 1
12.5%
Other Punctuation
ValueCountFrequency (%)
, 29
74.4%
. 7
 
17.9%
: 2
 
5.1%
* 1
 
2.6%
Space Separator
ValueCountFrequency (%)
72
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Control
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 382
69.7%
Common 131
 
23.9%
Latin 35
 
6.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
음 77
20.2%
반 46
12.0%
물 30
 
7.9%
영 29
 
7.6%
상 27
 
7.1%
악 25
 
6.5%
제 24
 
6.3%
작 24
 
6.3%
대 6
 
1.6%
업 5
 
1.3%
Other values (57) 89
23.3%
Latin
ValueCountFrequency (%)
S 3
 
8.6%
R 3
 
8.6%
m 3
 
8.6%
o 3
 
8.6%
l 2
 
5.7%
e 2
 
5.7%
r 2
 
5.7%
c 2
 
5.7%
i 2
 
5.7%
u 1
 
2.9%
Other values (12) 12
34.3%
Common
ValueCountFrequency (%)
72
55.0%
, 29
22.1%
. 7
 
5.3%
( 4
 
3.1%
) 4
 
3.1%
4
 
3.1%
: 2
 
1.5%
1 2
 
1.5%
0 2
 
1.5%
2 2
 
1.5%
Other values (3) 3
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 382
69.7%
ASCII 166
30.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
음 77
20.2%
반 46
12.0%
물 30
 
7.9%
영 29
 
7.6%
상 27
 
7.1%
악 25
 
6.5%
제 24
 
6.3%
작 24
 
6.3%
대 6
 
1.6%
업 5
 
1.3%
Other values (57) 89
23.3%
ASCII
ValueCountFrequency (%)
72
43.4%
, 29
17.5%
. 7
 
4.2%
( 4
 
2.4%
) 4
 
2.4%
4
 
2.4%
S 3
 
1.8%
R 3
 
1.8%
m 3
 
1.8%
o 3
 
1.8%
Other values (25) 34
20.5%

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
01음반물제작업03_14_05_P6270000M010120180000022018-11-05<NA>1영업/정상1영업<NA><NA><NA><NA>16615680<NA><NA>대구광역시 북구 태전동 ***번지 **호대구광역시 북구 학정로 ***-* (태전동)<NA>(주)아트판타지아2018-11-05 10:24:48I2018-11-07 02:36:31<NA>339947.943498269932.234133음반물제작업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA>음반물, 홍보영상물 제작<NA><NA>
12음반물제작업03_14_05_P6270000M010120190000012019-02-13<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>대구광역시 동구 동호동 ***번지 *호대구광역시 동구 금강로 **-*, *층 (동호동)<NA>에쿠스노래뮤비방2019-02-13 09:16:50I2019-02-15 02:21:21<NA>355671.833565264307.710215음반물제작업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA>음악영상물, 음악영상파일, usb<NA><NA>
23음반물제작업03_14_05_P6270000M010120090000012009-01-07<NA>1영업/정상1영업<NA><NA><NA><NA>537660908<NA><NA>대구광역시 수성구 두산동 ***번지 *호 (주)대구방송빌딩, *층대구광역시 수성구 동대구로 **, *층 (두산동,(주)대구방송빌딩)<NA>채널나인2015-02-05 17:51:47I2018-08-31 23:59:59<NA>346572.515153260357.649369음반물제작업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA>음반. 음악영상물 제작<NA><NA>
34음반물제작업03_14_05_P6270000M010120190000032019-08-16<NA>1영업/정상1영업<NA><NA><NA><NA>532896516<NA><NA>대구광역시 동구 입석동 ***번지 **호대구광역시 동구 공항로 ***-*, *층 ***호 (입석동)<NA>반사(BANSA)2019-08-16 09:50:13I2019-08-18 02:22:04<NA>348285.363568267127.705839음반물제작업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA>대중가요, 영상음악, Commercial Song, Film Score<NA><NA>
45음반물제작업03_14_05_P6270000M010120190000022019-08-02<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 삼덕동*가 **번지 *호대구광역시 중구 동성로*길 **-* (삼덕동*가)<NA>삼덕놀이터2019-08-02 09:41:26I2019-08-04 02:21:53<NA>344354.579983264184.67514음반물제작업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA>음반, 음악영상물 제작<NA><NA>
56음반물제작업03_14_05_P6270000M010120190000042019-11-20<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>대구광역시 달서구 성당동 ***번지 **호 이화빌라대구광역시 달서구 대명천로**안길 **-*, ***호 (성당동,이화빌라)<NA>제윤 크리에이티브 스튜디오 (JCS)2019-11-20 09:59:04I2019-11-22 00:23:20<NA>340513.936057261086.107396음반물제작업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA>선거송, MR<NA><NA>
67음반물제작업03_14_05_P6270000M010120200000012020-02-28<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 명덕로**길 **-* (남산동)<NA>스튜디오 소리샘2020-02-28 12:51:31I2020-03-01 00:23:23<NA>343430.47764263253.756373음반물제작업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA>녹음 및 믹싱, 음원(대중음악, 선거, 광고, 방송용음악)<NA><NA>
78음반물제작업03_14_05_P6270000M010120200000032020-05-08<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>대구광역시 남구 명덕로 ***-*, *층 (대명동)<NA>주식회사 숨 뮤직 앤 필름2020-05-08 13:07:14I2020-05-10 00:23:20<NA>342974.037123262935.615063음반물제작업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA>뮤직비디오, 광고 및 이벤트영상 등 음반음악영상물<NA><NA>
89음반물제작업03_14_05_P6270000M010120200000022020-04-27<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>대구광역시 남구 중앙대로**길 **-* (대명동)<NA>주식회사 소셜멜로디2020-04-27 17:09:05I2020-04-29 00:23:20<NA>343442.942001262871.566618음반물제작업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA>교육음원, 대중가요 등 음악<NA><NA>
910음반물제작업03_14_05_P6270000M010120170000012017-04-04<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>대구광역시 남구 대명동 ****번지 *호대구광역시 남구 양지로 *** (대명동)<NA>목화노래뮤비방2020-12-28 19:34:00U2020-12-30 02:40:00<NA>342756.201272262448.230076음반물제작업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA>해당없음 *2019.12.30. 대표자 변경 : 박현영()에서 박은영()으로 변경<NA><NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
4546음반물제작업03_14_05_P6270000M010120060000182006-09-16<NA>3폐업3폐업2012-01-27<NA><NA><NA>539842838<NA><NA>대구광역시 동구 송정동 ***번지 **호<NA><NA>(사)건강사회를 위한 시민모임2013-12-30 14:22:44I2018-08-31 23:59:59<NA>345944.770173277700.900957음반물제작업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA>음반물<NA><NA>
4647음반물제작업03_14_05_P6270000M010120070000012007-03-05<NA>3폐업3폐업2017-09-11<NA><NA><NA>534215848<NA><NA>대구광역시 중구 삼덕동*가 **번지 *호대구광역시 중구 동성로*길 * (삼덕동*가)<NA>R.J엔터테인먼트2020-12-28 17:41:23U2020-12-30 02:40:00<NA>344279.772581263948.33608음반물제작업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA>음반<NA><NA>
4748음반물제작업03_14_05_P6270000M010120140000012014-01-29<NA>3폐업3폐업2015-09-10<NA><NA><NA><NA><NA><NA>대구광역시 달서구 이곡동 ****번지 *호대구광역시 달서구 달구벌대로***길 ** (이곡동)<NA>샵노래영상제작실2015-09-10 13:18:07I2018-08-31 23:59:59<NA>335829.274637262497.696703음반물제작업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA>음반,음악영상물 제작<NA><NA>
4849음반물제작업03_14_05_P6270000M010120150000012015-01-28<NA>3폐업3폐업2017-04-04<NA><NA><NA><NA><NA><NA>대구광역시 수성구 범어동 ***번지 **호 *층대구광역시 수성구 달구벌대로***길 **, *층 (범어동)<NA>올풀노래뮤비방2020-12-28 17:37:58U2020-12-30 02:40:00<NA>347552.824438263155.799268음반물제작업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA>음반,음악영상물<NA><NA>
4950음반물제작업03_14_05_P6270000M010120150000022015-10-14<NA>3폐업3폐업2017-03-31<NA><NA><NA><NA><NA><NA>대구광역시 남구 대명동 ****번지 *호대구광역시 남구 양지로 *** (대명동)<NA>목화노래뮤비방2017-04-06 15:52:23I2018-08-31 23:59:59<NA>342756.201272262448.230076음반물제작업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA>음반음악영상물제작<NA><NA>
5051음반물제작업03_14_05_P6270000M010120150000042015-12-09<NA>3폐업3폐업2015-12-31<NA><NA><NA><NA><NA><NA>대구광역시 동구 효목동 ***번지 **호대구광역시 동구 효동로 **-* (효목동)<NA>미디어 엠(Media M)2015-12-31 10:12:37I2018-08-31 23:59:59<NA>348609.345598265798.742432음반물제작업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA>음반음악영상물 제작업<NA><NA>
5152음반물제작업03_14_05_P6270000M010120060000032006-07-15<NA>3폐업3폐업2019-01-28<NA><NA><NA>532471600<NA><NA>대구광역시 남구 대명동 ****번지대구광역시 남구 명덕로 ***, 본관동 ***호 (대명동,대구디지털산업진흥원)<NA>(주)티씨엔프로덕션2019-01-28 10:53:49U2019-01-30 02:40:00<NA>342632.844135262643.902173음반물제작업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA>음반,음악영상물 제작업<NA><NA>
5253음반물제작업03_14_05_P6270000M010120060000092006-07-18<NA>3폐업3폐업2015-08-24<NA><NA><NA>537674300<NA><NA>대구광역시 수성구 지산동 ***번지 *호대구광역시 수성구 청수로**길 * (지산동)<NA>이화상사2015-08-24 18:15:44I2018-08-31 23:59:59<NA>347018.119112261056.730781음반물제작업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA>음반<NA><NA>
5354음반물제작업03_14_05_P6270000M010120060000132006-07-18<NA>4취소/말소/만료/정지/중지C직권말소2007-03-13<NA><NA><NA>536548889<NA><NA>대구광역시 남구 대명동 ****번지 *호<NA><NA>E.D.C2008-12-04 13:34:38I2018-08-31 23:59:59<NA>342701.503187261692.983589음반물제작업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA>음반<NA><NA>
5455음반물제작업03_14_05_P6270000M010120060000112006-07-18<NA>4취소/말소/만료/정지/중지C직권말소2007-03-13<NA><NA><NA>537522202<NA><NA>대구광역시 동구 신천동 **번지 대구벤처센타 **층<NA><NA>(주)PDZ2008-12-04 13:35:43I2018-08-31 23:59:59<NA>346672.854539264843.003409음반물제작업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA>음반<NA><NA>