Overview

Dataset statistics

Number of variables59
Number of observations52
Missing cells1987
Missing cells (%)64.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory26.4 KiB
Average record size in memory520.5 B

Variable types

Numeric7
Categorical9
Text5
Unsupported37
DateTime1

Dataset

Description6270000_대구광역시_03_14_05_P_음반물제작업_6월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000085438&dataSetDetailId=DDI_0000085518&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스ID has constant value ""Constant
개방자치단체코드 has constant value ""Constant
문화체육업종명 has constant value ""Constant
데이터갱신구분 is highly imbalanced (68.2%)Imbalance
인허가취소일자 has 52 (100.0%) missing valuesMissing
폐업일자 has 40 (76.9%) missing valuesMissing
휴업시작일자 has 52 (100.0%) missing valuesMissing
휴업종료일자 has 52 (100.0%) missing valuesMissing
재개업일자 has 52 (100.0%) missing valuesMissing
소재지전화 has 16 (30.8%) missing valuesMissing
소재지면적 has 52 (100.0%) missing valuesMissing
소재지우편번호 has 52 (100.0%) missing valuesMissing
도로명전체주소 has 5 (9.6%) missing valuesMissing
도로명우편번호 has 52 (100.0%) missing valuesMissing
업태구분명 has 52 (100.0%) missing valuesMissing
좌표정보(X) has 1 (1.9%) missing valuesMissing
좌표정보(Y) has 1 (1.9%) missing valuesMissing
문화사업자구분명 has 52 (100.0%) missing valuesMissing
총층수 has 52 (100.0%) missing valuesMissing
주변환경명 has 52 (100.0%) missing valuesMissing
제작취급품목내용 has 52 (100.0%) missing valuesMissing
시설면적 has 52 (100.0%) missing valuesMissing
지상층수 has 52 (100.0%) missing valuesMissing
지하층수 has 52 (100.0%) missing valuesMissing
건물용도명 has 52 (100.0%) missing valuesMissing
통로너비 has 52 (100.0%) missing valuesMissing
조명시설조도 has 52 (100.0%) missing valuesMissing
노래방실수 has 52 (100.0%) missing valuesMissing
청소년실수 has 52 (100.0%) missing valuesMissing
비상계단여부 has 52 (100.0%) missing valuesMissing
비상구여부 has 52 (100.0%) missing valuesMissing
자동환기여부 has 52 (100.0%) missing valuesMissing
청소년실여부 has 52 (100.0%) missing valuesMissing
특수조명여부 has 52 (100.0%) missing valuesMissing
방음시설여부 has 52 (100.0%) missing valuesMissing
비디오재생기명 has 52 (100.0%) missing valuesMissing
조명시설유무 has 52 (100.0%) missing valuesMissing
음향시설여부 has 52 (100.0%) missing valuesMissing
편의시설여부 has 52 (100.0%) missing valuesMissing
소방시설여부 has 52 (100.0%) missing valuesMissing
총게임기수 has 52 (100.0%) missing valuesMissing
기존게임업외업종명 has 52 (100.0%) missing valuesMissing
제공게임물명 has 52 (100.0%) missing valuesMissing
공연장형태구분명 has 52 (100.0%) missing valuesMissing
최초등록시점 has 52 (100.0%) missing valuesMissing
지역구분명 has 52 (100.0%) missing valuesMissing
번호 has unique valuesUnique
관리번호 has unique valuesUnique
사업장명 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
총층수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
주변환경명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제작취급품목내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
시설면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
지상층수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
지하층수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건물용도명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
통로너비 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설조도 is an unsupported type, check if it needs cleaning or further analysisUnsupported
노래방실수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상계단여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상구여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자동환기여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
특수조명여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방음시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비디오재생기명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
음향시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
편의시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소방시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총게임기수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기존게임업외업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제공게임물명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공연장형태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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 started2023-12-10 18:16:22.062738
Analysis finished2023-12-10 18:16:23.028312
Duration0.97 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.5
Minimum1
Maximum52
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size600.0 B
2023-12-11T03:16:23.168927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.55
Q113.75
median26.5
Q339.25
95-th percentile49.45
Maximum52
Range51
Interquartile range (IQR)25.5

Descriptive statistics

Standard deviation15.154757
Coefficient of variation (CV)0.57187763
Kurtosis-1.2
Mean26.5
Median Absolute Deviation (MAD)13
Skewness0
Sum1378
Variance229.66667
MonotonicityStrictly increasing
2023-12-11T03:16:23.426424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.9%
28 1
 
1.9%
30 1
 
1.9%
31 1
 
1.9%
32 1
 
1.9%
33 1
 
1.9%
34 1
 
1.9%
35 1
 
1.9%
36 1
 
1.9%
37 1
 
1.9%
Other values (42) 42
80.8%
ValueCountFrequency (%)
1 1
1.9%
2 1
1.9%
3 1
1.9%
4 1
1.9%
5 1
1.9%
6 1
1.9%
7 1
1.9%
8 1
1.9%
9 1
1.9%
10 1
1.9%
ValueCountFrequency (%)
52 1
1.9%
51 1
1.9%
50 1
1.9%
49 1
1.9%
48 1
1.9%
47 1
1.9%
46 1
1.9%
45 1
1.9%
44 1
1.9%
43 1
1.9%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size548.0 B
음반물제작업
52 

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 52
100.0%

Length

2023-12-11T03:16:23.663338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:16:23.832394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
음반물제작업 52
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size548.0 B
03_14_05_P
52 

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 52
100.0%

Length

2023-12-11T03:16:23.982385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:16:24.138642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_14_05_p 52
100.0%

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size548.0 B
6270000
52 

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 52
100.0%

Length

2023-12-11T03:16:24.366778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:16:24.534788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
6270000 52
100.0%

관리번호
Text

UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size548.0 B
2023-12-11T03:16:24.844020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length15
Mean length15
Min length15

Characters and Unicode

Total characters780
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

Unique52 ?
Unique (%)100.0%

Sample

1st rowM01012019000004
2nd rowM01012019000003
3rd rowM01012019000002
4th rowM01012019000001
5th rowM01012018000002
ValueCountFrequency (%)
m01012019000004 1
 
1.9%
m01012019000003 1
 
1.9%
m01012020000002 1
 
1.9%
m01012008000004 1
 
1.9%
m01012008000005 1
 
1.9%
m01012015000003 1
 
1.9%
m01012015000005 1
 
1.9%
m01012017000001 1
 
1.9%
m01012017000002 1
 
1.9%
m01012017000003 1
 
1.9%
Other values (42) 42
80.8%
2023-12-11T03:16:25.518209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 444
56.9%
1 144
 
18.5%
2 65
 
8.3%
M 52
 
6.7%
6 19
 
2.4%
9 11
 
1.4%
3 10
 
1.3%
5 10
 
1.3%
7 9
 
1.2%
4 8
 
1.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 728
93.3%
Uppercase Letter 52
 
6.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 444
61.0%
1 144
 
19.8%
2 65
 
8.9%
6 19
 
2.6%
9 11
 
1.5%
3 10
 
1.4%
5 10
 
1.4%
7 9
 
1.2%
4 8
 
1.1%
8 8
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
M 52
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 728
93.3%
Latin 52
 
6.7%

Most frequent character per script

Common
ValueCountFrequency (%)
0 444
61.0%
1 144
 
19.8%
2 65
 
8.9%
6 19
 
2.6%
9 11
 
1.5%
3 10
 
1.4%
5 10
 
1.4%
7 9
 
1.2%
4 8
 
1.1%
8 8
 
1.1%
Latin
ValueCountFrequency (%)
M 52
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 780
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 444
56.9%
1 144
 
18.5%
2 65
 
8.3%
M 52
 
6.7%
6 19
 
2.4%
9 11
 
1.4%
3 10
 
1.3%
5 10
 
1.3%
7 9
 
1.2%
4 8
 
1.0%

인허가일자
Real number (ℝ)

Distinct39
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20110485
Minimum20060715
Maximum20200508
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size600.0 B
2023-12-11T03:16:25.785119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20060715
5-th percentile20060717
Q120060718
median20090124
Q320156019
95-th percentile20195219
Maximum20200508
Range139793
Interquartile range (IQR)95301

Descriptive statistics

Standard deviation51802.295
Coefficient of variation (CV)0.002575885
Kurtosis-1.3656431
Mean20110485
Median Absolute Deviation (MAD)29406.5
Skewness0.54932076
Sum1.0457452 × 109
Variance2.6834778 × 109
MonotonicityNot monotonic
2023-12-11T03:16:26.106678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
20060718 12
23.1%
20060715 3
 
5.8%
20191120 1
 
1.9%
20200427 1
 
1.9%
20151224 1
 
1.9%
20170404 1
 
1.9%
20170620 1
 
1.9%
20170718 1
 
1.9%
20170914 1
 
1.9%
20180830 1
 
1.9%
Other values (29) 29
55.8%
ValueCountFrequency (%)
20060715 3
 
5.8%
20060718 12
23.1%
20060719 1
 
1.9%
20060916 1
 
1.9%
20070305 1
 
1.9%
20070529 1
 
1.9%
20070629 1
 
1.9%
20080616 1
 
1.9%
20080820 1
 
1.9%
20081210 1
 
1.9%
ValueCountFrequency (%)
20200508 1
1.9%
20200427 1
1.9%
20200228 1
1.9%
20191120 1
1.9%
20190816 1
1.9%
20190802 1
1.9%
20190213 1
1.9%
20181105 1
1.9%
20180830 1
1.9%
20170914 1
1.9%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

영업상태구분코드
Categorical

Distinct3
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
1
40 
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 40
76.9%
3 10
 
19.2%
4 2
 
3.8%

Length

2023-12-11T03:16:26.366824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:16:26.540810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 40
76.9%
3 10
 
19.2%
4 2
 
3.8%

영업상태명
Categorical

Distinct3
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
영업/정상
40 
폐업
10 
취소/말소/만료/정지/중지
 
2

Length

Max length14
Median length5
Mean length4.7692308
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 40
76.9%
폐업 10
 
19.2%
취소/말소/만료/정지/중지 2
 
3.8%

Length

2023-12-11T03:16:26.749011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:16:26.950635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 40
76.9%
폐업 10
 
19.2%
취소/말소/만료/정지/중지 2
 
3.8%

상세영업상태코드
Categorical

Distinct3
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
1
40 
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 40
76.9%
3 10
 
19.2%
C 2
 
3.8%

Length

2023-12-11T03:16:27.141651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:16:27.336452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 40
76.9%
3 10
 
19.2%
c 2
 
3.8%

상세영업상태명
Categorical

Distinct3
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
영업
40 
폐업
10 
직권말소
 
2

Length

Max length4
Median length2
Mean length2.0769231
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업 40
76.9%
폐업 10
 
19.2%
직권말소 2
 
3.8%

Length

2023-12-11T03:16:27.567030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:16:27.784182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 40
76.9%
폐업 10
 
19.2%
직권말소 2
 
3.8%

폐업일자
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)91.7%
Missing40
Missing (%)76.9%
Infinite0
Infinite (%)0.0%
Mean20141426
Minimum20070313
Maximum20190514
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size600.0 B
2023-12-11T03:16:27.960674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20070313
5-th percentile20070313
Q120112873
median20151070
Q320170531
95-th percentile20190302
Maximum20190514
Range120201
Interquartile range (IQR)57657.5

Descriptive statistics

Standard deviation43379.693
Coefficient of variation (CV)0.0021537548
Kurtosis-0.8570731
Mean20141426
Median Absolute Deviation (MAD)25392
Skewness-0.72934964
Sum2.4169712 × 108
Variance1.8817978 × 109
MonotonicityNot monotonic
2023-12-11T03:16:28.176032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
20070313 2
 
3.8%
20190128 1
 
1.9%
20150824 1
 
1.9%
20091112 1
 
1.9%
20190514 1
 
1.9%
20120127 1
 
1.9%
20170911 1
 
1.9%
20150910 1
 
1.9%
20170404 1
 
1.9%
20170331 1
 
1.9%
(Missing) 40
76.9%
ValueCountFrequency (%)
20070313 2
3.8%
20091112 1
1.9%
20120127 1
1.9%
20150824 1
1.9%
20150910 1
1.9%
20151231 1
1.9%
20170331 1
1.9%
20170404 1
1.9%
20170911 1
1.9%
20190128 1
1.9%
ValueCountFrequency (%)
20190514 1
1.9%
20190128 1
1.9%
20170911 1
1.9%
20170404 1
1.9%
20170331 1
1.9%
20151231 1
1.9%
20150910 1
1.9%
20150824 1
1.9%
20120127 1
1.9%
20091112 1
1.9%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

소재지전화
Real number (ℝ)

MISSING 

Distinct36
Distinct (%)100.0%
Missing16
Missing (%)30.8%
Infinite0
Infinite (%)0.0%
Mean7.0236538 × 108
Minimum16615680
Maximum7.0435148 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size600.0 B
2023-12-11T03:16:28.405052image/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
2023-12-11T03:16:28.680657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
536343390 1
 
1.9%
536525429 1
 
1.9%
7043514797 1
 
1.9%
539543744 1
 
1.9%
535615000 1
 
1.9%
532625429 1
 
1.9%
536220406 1
 
1.9%
532151234 1
 
1.9%
532471600 1
 
1.9%
537674300 1
 
1.9%
Other values (26) 26
50.0%
(Missing) 16
30.8%
ValueCountFrequency (%)
16615680 1
1.9%
532151234 1
1.9%
532471600 1
1.9%
532567104 1
1.9%
532625429 1
1.9%
532896516 1
1.9%
532924589 1
1.9%
534214253 1
1.9%
534215848 1
1.9%
534229212 1
1.9%
ValueCountFrequency (%)
7043514797 1
1.9%
539842838 1
1.9%
539625931 1
1.9%
539543744 1
1.9%
537933217 1
1.9%
537848222 1
1.9%
537674300 1
1.9%
537664334 1
1.9%
537660908 1
1.9%
537559537 1
1.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

소재지전체주소
Text

Distinct48
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Memory size548.0 B
2023-12-11T03:16:29.245311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length37
Mean length24.269231
Min length4

Characters and Unicode

Total characters1262
Distinct characters91
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

Unique45 ?
Unique (%)86.5%

Sample

1st row대구광역시 달서구 성당동 202번지 17호 이화빌라
2nd row대구광역시 동구 입석동 977번지 10호
3rd row대구광역시 중구 삼덕동1가 61번지 3호
4th row대구광역시 동구 동호동 375번지 3호
5th row대구광역시 북구 태전동 595번지 22호
ValueCountFrequency (%)
대구광역시 49
 
18.9%
남구 14
 
5.4%
대명동 13
 
5.0%
1호 12
 
4.6%
수성구 11
 
4.2%
동구 9
 
3.5%
중구 7
 
2.7%
3호 4
 
1.5%
달서구 3
 
1.2%
지산동 3
 
1.2%
Other values (109) 134
51.7%
2023-12-11T03:16:30.845001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
305
24.2%
구 102
 
8.1%
대 69
 
5.5%
동 60
 
4.8%
1 60
 
4.8%
지 53
 
4.2%
번 49
 
3.9%
광 49
 
3.9%
역 49
 
3.9%
시 49
 
3.9%
Other values (81) 417
33.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 725
57.4%
Space Separator 305
24.2%
Decimal Number 227
 
18.0%
Uppercase Letter 2
 
0.2%
Close Punctuation 1
 
0.1%
Other Punctuation 1
 
0.1%
Open 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%
번 49
 
6.8%
광 49
 
6.8%
역 49
 
6.8%
시 49
 
6.8%
호 42
 
5.8%
남 17
 
2.3%
Other values (66) 186
25.7%
Decimal Number
ValueCountFrequency (%)
1 60
26.4%
3 32
14.1%
2 30
13.2%
0 17
 
7.5%
5 16
 
7.0%
9 16
 
7.0%
7 16
 
7.0%
4 14
 
6.2%
8 13
 
5.7%
6 13
 
5.7%
Space Separator
ValueCountFrequency (%)
305
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 725
57.4%
Common 535
42.4%
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%
번 49
 
6.8%
광 49
 
6.8%
역 49
 
6.8%
시 49
 
6.8%
호 42
 
5.8%
남 17
 
2.3%
Other values (66) 186
25.7%
Common
ValueCountFrequency (%)
305
57.0%
1 60
 
11.2%
3 32
 
6.0%
2 30
 
5.6%
0 17
 
3.2%
5 16
 
3.0%
9 16
 
3.0%
7 16
 
3.0%
4 14
 
2.6%
8 13
 
2.4%
Other values (4) 16
 
3.0%
Latin
ValueCountFrequency (%)
B 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 725
57.4%
ASCII 537
42.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
305
56.8%
1 60
 
11.2%
3 32
 
6.0%
2 30
 
5.6%
0 17
 
3.2%
5 16
 
3.0%
9 16
 
3.0%
7 16
 
3.0%
4 14
 
2.6%
8 13
 
2.4%
Other values (5) 18
 
3.4%
Hangul
ValueCountFrequency (%)
구 102
14.1%
대 69
 
9.5%
동 60
 
8.3%
지 53
 
7.3%
번 49
 
6.8%
광 49
 
6.8%
역 49
 
6.8%
시 49
 
6.8%
호 42
 
5.8%
남 17
 
2.3%
Other values (66) 186
25.7%

도로명전체주소
Text

MISSING 

Distinct46
Distinct (%)97.9%
Missing5
Missing (%)9.6%
Memory size548.0 B
2023-12-11T03:16:31.364840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length38
Mean length28.382979
Min length21

Characters and Unicode

Total characters1334
Distinct characters110
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

Unique45 ?
Unique (%)95.7%

Sample

1st row대구광역시 달서구 대명천로12안길 43-0, 401호 (성당동,이화빌라)
2nd row대구광역시 동구 공항로 291-0, 2층 202호 (입석동)
3rd row대구광역시 중구 동성로5길 83-0 (삼덕동1가)
4th row대구광역시 동구 금강로 16-0, 2층 (동호동)
5th row대구광역시 북구 학정로 132-1 (태전동)
ValueCountFrequency (%)
대구광역시 47
 
18.3%
남구 14
 
5.4%
수성구 11
 
4.3%
대명동 10
 
3.9%
중구 8
 
3.1%
명덕로 6
 
2.3%
동구 6
 
2.3%
2층 3
 
1.2%
지산동 3
 
1.2%
서구 3
 
1.2%
Other values (120) 146
56.8%
2023-12-11T03:16:32.136643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
210
 
15.7%
구 107
 
8.0%
대 81
 
6.1%
동 61
 
4.6%
) 48
 
3.6%
( 48
 
3.6%
광 47
 
3.5%
역 47
 
3.5%
시 47
 
3.5%
로 45
 
3.4%
Other values (100) 593
44.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 782
58.6%
Space Separator 210
 
15.7%
Decimal Number 202
 
15.1%
Close Punctuation 48
 
3.6%
Open Punctuation 48
 
3.6%
Other Punctuation 29
 
2.2%
Dash Punctuation 13
 
1.0%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 107
 
13.7%
대 81
 
10.4%
동 61
 
7.8%
광 47
 
6.0%
역 47
 
6.0%
시 47
 
6.0%
로 45
 
5.8%
명 23
 
2.9%
길 21
 
2.7%
성 20
 
2.6%
Other values (84) 283
36.2%
Decimal Number
ValueCountFrequency (%)
1 40
19.8%
2 30
14.9%
3 29
14.4%
0 20
9.9%
4 19
9.4%
5 18
8.9%
7 14
 
6.9%
8 11
 
5.4%
9 11
 
5.4%
6 10
 
5.0%
Space Separator
ValueCountFrequency (%)
210
100.0%
Close Punctuation
ValueCountFrequency (%)
) 48
100.0%
Open Punctuation
ValueCountFrequency (%)
( 48
100.0%
Other Punctuation
ValueCountFrequency (%)
, 29
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 782
58.6%
Common 550
41.2%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 107
 
13.7%
대 81
 
10.4%
동 61
 
7.8%
광 47
 
6.0%
역 47
 
6.0%
시 47
 
6.0%
로 45
 
5.8%
명 23
 
2.9%
길 21
 
2.7%
성 20
 
2.6%
Other values (84) 283
36.2%
Common
ValueCountFrequency (%)
210
38.2%
) 48
 
8.7%
( 48
 
8.7%
1 40
 
7.3%
2 30
 
5.5%
, 29
 
5.3%
3 29
 
5.3%
0 20
 
3.6%
4 19
 
3.5%
5 18
 
3.3%
Other values (5) 59
 
10.7%
Latin
ValueCountFrequency (%)
B 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 782
58.6%
ASCII 552
41.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
210
38.0%
) 48
 
8.7%
( 48
 
8.7%
1 40
 
7.2%
2 30
 
5.4%
, 29
 
5.3%
3 29
 
5.3%
0 20
 
3.6%
4 19
 
3.4%
5 18
 
3.3%
Other values (6) 61
 
11.1%
Hangul
ValueCountFrequency (%)
구 107
 
13.7%
대 81
 
10.4%
동 61
 
7.8%
광 47
 
6.0%
역 47
 
6.0%
시 47
 
6.0%
로 45
 
5.8%
명 23
 
2.9%
길 21
 
2.7%
성 20
 
2.6%
Other values (84) 283
36.2%

도로명우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

사업장명
Text

UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size548.0 B
2023-12-11T03:16:32.581789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length13
Mean length7.5961538
Min length4

Characters and Unicode

Total characters395
Distinct characters145
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

Unique52 ?
Unique (%)100.0%

Sample

1st row제윤 크리에이티브 스튜디오 (JCS)
2nd row반사(BANSA)
3rd row삼덕놀이터
4th row에쿠스노래뮤비방
5th row(주)아트판타지아
ValueCountFrequency (%)
주식회사 5
 
6.7%
스튜디오 2
 
2.7%
m 2
 
2.7%
씨티웍스 1
 
1.3%
뮤직 1
 
1.3%
숨 1
 
1.3%
까치노래뮤비방 1
 
1.3%
korea 1
 
1.3%
tcn 1
 
1.3%
컬쳐팩토리아지트 1
 
1.3%
Other values (59) 59
78.7%
2023-12-11T03:16:33.698289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
23
 
5.8%
주 13
 
3.3%
( 12
 
3.0%
디 12
 
3.0%
) 12
 
3.0%
사 9
 
2.3%
스 9
 
2.3%
노 8
 
2.0%
뮤 8
 
2.0%
미 8
 
2.0%
Other values (135) 281
71.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 303
76.7%
Uppercase Letter 35
 
8.9%
Space Separator 23
 
5.8%
Open Punctuation 12
 
3.0%
Close Punctuation 12
 
3.0%
Lowercase Letter 7
 
1.8%
Other Punctuation 3
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 13
 
4.3%
디 12
 
4.0%
사 9
 
3.0%
스 9
 
3.0%
노 8
 
2.6%
뮤 8
 
2.6%
미 8
 
2.6%
래 7
 
2.3%
트 7
 
2.3%
반 7
 
2.3%
Other values (109) 215
71.0%
Uppercase Letter
ValueCountFrequency (%)
S 5
14.3%
M 4
11.4%
C 4
11.4%
D 3
8.6%
J 3
8.6%
A 3
8.6%
R 2
 
5.7%
E 2
 
5.7%
N 2
 
5.7%
B 2
 
5.7%
Other values (5) 5
14.3%
Lowercase Letter
ValueCountFrequency (%)
a 1
14.3%
i 1
14.3%
d 1
14.3%
e 1
14.3%
u 1
14.3%
t 1
14.3%
s 1
14.3%
Space Separator
ValueCountFrequency (%)
23
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 303
76.7%
Common 50
 
12.7%
Latin 42
 
10.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 13
 
4.3%
디 12
 
4.0%
사 9
 
3.0%
스 9
 
3.0%
노 8
 
2.6%
뮤 8
 
2.6%
미 8
 
2.6%
래 7
 
2.3%
트 7
 
2.3%
반 7
 
2.3%
Other values (109) 215
71.0%
Latin
ValueCountFrequency (%)
S 5
11.9%
M 4
 
9.5%
C 4
 
9.5%
D 3
 
7.1%
J 3
 
7.1%
A 3
 
7.1%
R 2
 
4.8%
E 2
 
4.8%
N 2
 
4.8%
B 2
 
4.8%
Other values (12) 12
28.6%
Common
ValueCountFrequency (%)
23
46.0%
( 12
24.0%
) 12
24.0%
. 3
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 303
76.7%
ASCII 92
 
23.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
23
25.0%
( 12
13.0%
) 12
13.0%
S 5
 
5.4%
M 4
 
4.3%
C 4
 
4.3%
. 3
 
3.3%
D 3
 
3.3%
J 3
 
3.3%
A 3
 
3.3%
Other values (16) 20
21.7%
Hangul
ValueCountFrequency (%)
주 13
 
4.3%
디 12
 
4.0%
사 9
 
3.0%
스 9
 
3.0%
노 8
 
2.6%
뮤 8
 
2.6%
미 8
 
2.6%
래 7
 
2.3%
트 7
 
2.3%
반 7
 
2.3%
Other values (109) 215
71.0%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0148453 × 1013
Minimum2.0060718 × 1013
Maximum2.0200508 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size600.0 B
2023-12-11T03:16:34.017897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0060718 × 1013
5-th percentile2.0086654 × 1013
Q12.013123 × 1013
median2.0135928 × 1013
Q32.0170912 × 1013
95-th percentile2.019528 × 1013
Maximum2.0200508 × 1013
Range1.3979001 × 1011
Interquartile range (IQR)3.9681746 × 1010

Descriptive statistics

Standard deviation3.2026872 × 1010
Coefficient of variation (CV)0.001589545
Kurtosis0.18438835
Mean2.0148453 × 1013
Median Absolute Deviation (MAD)1.4939511 × 1010
Skewness-0.31197385
Sum1.0477196 × 1015
Variance1.0257205 × 1021
MonotonicityNot monotonic
2023-12-11T03:16:34.437325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20191120095904 1
 
1.9%
20140625131041 1
 
1.9%
20131230150142 1
 
1.9%
20151021140221 1
 
1.9%
20151230113956 1
 
1.9%
20191231141036 1
 
1.9%
20170620171722 1
 
1.9%
20170718092915 1
 
1.9%
20170914092825 1
 
1.9%
20180830173924 1
 
1.9%
Other values (42) 42
80.8%
ValueCountFrequency (%)
20060718123801 1
1.9%
20081204133438 1
1.9%
20081204133543 1
1.9%
20091113142653 1
1.9%
20131230114549 1
1.9%
20131230131103 1
1.9%
20131230131142 1
1.9%
20131230131413 1
1.9%
20131230133531 1
1.9%
20131230134633 1
1.9%
ValueCountFrequency (%)
20200508130714 1
1.9%
20200427170905 1
1.9%
20200228125131 1
1.9%
20191231141036 1
1.9%
20191120095904 1
1.9%
20190816095013 1
1.9%
20190802094126 1
1.9%
20190514140202 1
1.9%
20190213091650 1
1.9%
20190128105349 1
1.9%

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
I
49 
U
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 49
94.2%
U 3
 
5.8%

Length

2023-12-11T03:16:34.708259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:16:34.910937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 49
94.2%
u 3
 
5.8%

데이터갱신일자
Date

Distinct12
Distinct (%)23.1%
Missing0
Missing (%)0.0%
Memory size548.0 B
Minimum2018-08-31 23:59:59
Maximum2020-05-10 00:23:20
2023-12-11T03:16:35.078727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T03:16:35.299497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct46
Distinct (%)90.2%
Missing1
Missing (%)1.9%
Infinite0
Infinite (%)0.0%
Mean344641.72
Minimum335829.27
Maximum355671.83
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size600.0 B
2023-12-11T03:16:35.558578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum335829.27
5-th percentile340230.94
Q1342774.77
median343908.48
Q3346701.01
95-th percentile348637.61
Maximum355671.83
Range19842.559
Interquartile range (IQR)3926.2404

Descriptive statistics

Standard deviation3355.3437
Coefficient of variation (CV)0.0097357444
Kurtosis2.3621293
Mean344641.72
Median Absolute Deviation (MAD)1527.1063
Skewness0.72966109
Sum17576727
Variance11258331
MonotonicityNot monotonic
2023-12-11T03:16:35.840314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
341269.072428 2
 
3.8%
342756.201272 2
 
3.8%
342974.037123 2
 
3.8%
342655.198797 2
 
3.8%
342774.766132 2
 
3.8%
340513.936057 1
 
1.9%
353774.0 1
 
1.9%
340530.295414 1
 
1.9%
347966.919075 1
 
1.9%
346052.83764 1
 
1.9%
Other values (36) 36
69.2%
ValueCountFrequency (%)
335829.274637 1
1.9%
339817.103024 1
1.9%
339947.943498 1
1.9%
340513.936057 1
1.9%
340530.295414 1
1.9%
341269.072428 2
3.8%
342655.198797 2
3.8%
342701.503187 1
1.9%
342756.201272 2
3.8%
342774.766132 2
3.8%
ValueCountFrequency (%)
355671.833565 1
1.9%
353774.0 1
1.9%
348665.873375 1
1.9%
348609.345598 1
1.9%
348337.430803 1
1.9%
348263.0 1
1.9%
347966.919075 1
1.9%
347855.797028 1
1.9%
347814.338869 1
1.9%
347553.467249 1
1.9%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct46
Distinct (%)90.2%
Missing1
Missing (%)1.9%
Infinite0
Infinite (%)0.0%
Mean263287.07
Minimum258768.42
Maximum277700.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size600.0 B
2023-12-11T03:16:36.120011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum258768.42
5-th percentile259491.29
Q1261968.43
median262935.62
Q3264085.65
95-th percentile267038
Maximum277700.9
Range18932.482
Interquartile range (IQR)2117.2255

Descriptive statistics

Standard deviation2905.2527
Coefficient of variation (CV)0.011034544
Kurtosis11.695161
Mean263287.07
Median Absolute Deviation (MAD)1051.0115
Skewness2.6115568
Sum13427641
Variance8440493.5
MonotonicityNot monotonic
2023-12-11T03:16:36.437570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
263400.741871 2
 
3.8%
262448.230076 2
 
3.8%
262935.615063 2
 
3.8%
261979.055557 2
 
3.8%
262912.887933 2
 
3.8%
261086.107396 1
 
1.9%
266947.0 1
 
1.9%
263125.751517 1
 
1.9%
259374.777677 1
 
1.9%
260995.631002 1
 
1.9%
Other values (36) 36
69.2%
ValueCountFrequency (%)
258768.418757 1
1.9%
258980.784098 1
1.9%
259374.777677 1
1.9%
259607.799141 1
1.9%
260357.649369 1
1.9%
260995.631002 1
1.9%
261056.730781 1
1.9%
261086.107396 1
1.9%
261289.605726 1
1.9%
261408.674358 1
1.9%
ValueCountFrequency (%)
277700.900957 1
1.9%
269932.234133 1
1.9%
267129.0 1
1.9%
266947.0 1
1.9%
266015.065008 1
1.9%
265798.742432 1
1.9%
265148.428612 1
1.9%
265015.70761 1
1.9%
264843.003409 1
1.9%
264557.544338 1
1.9%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size548.0 B
음반물제작업
52 

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 52
100.0%

Length

2023-12-11T03:16:36.700071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:16:36.873081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
음반물제작업 52
100.0%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

총층수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

시설면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

지상층수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

지하층수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

통로너비
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

조명시설조도
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

노래방실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

청소년실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

총게임기수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

품목명
Text

Distinct31
Distinct (%)59.6%
Missing0
Missing (%)0.0%
Memory size548.0 B
2023-12-11T03:16:37.171309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length32
Mean length8.6153846
Min length2

Characters and Unicode

Total characters448
Distinct characters76
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

Unique27 ?
Unique (%)51.9%

Sample

1st row선거송, MR
2nd row대중가요, 영상음악, Commercial Song, Film Score
3rd row음반, 음악영상물 제작
4th row음악영상물, 음악영상파일, usb
5th row음반물, 홍보영상물 제작
ValueCountFrequency (%)
음반 26
24.5%
제작 12
 
11.3%
음반물 7
 
6.6%
음악영상물 7
 
6.6%
음반음악영상물 4
 
3.8%
제작업 4
 
3.8%
음반,음악영상물 3
 
2.8%
영상물 2
 
1.9%
등 2
 
1.9%
및 2
 
1.9%
Other values (34) 37
34.9%
2023-12-11T03:16:37.816745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
음 72
16.1%
54
12.1%
반 45
10.0%
물 29
 
6.5%
, 26
 
5.8%
영 25
 
5.6%
상 25
 
5.6%
악 22
 
4.9%
제 22
 
4.9%
작 22
 
4.9%
Other values (66) 106
23.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 330
73.7%
Space Separator 54
 
12.1%
Other Punctuation 30
 
6.7%
Lowercase Letter 22
 
4.9%
Uppercase Letter 10
 
2.2%
Close Punctuation 1
 
0.2%
Open Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
음 72
21.8%
반 45
13.6%
물 29
8.8%
영 25
 
7.6%
상 25
 
7.6%
악 22
 
6.7%
제 22
 
6.7%
작 22
 
6.7%
업 5
 
1.5%
원 3
 
0.9%
Other values (41) 60
18.2%
Lowercase Letter
ValueCountFrequency (%)
o 3
13.6%
m 3
13.6%
r 2
9.1%
l 2
9.1%
i 2
9.1%
e 2
9.1%
c 2
9.1%
a 1
 
4.5%
n 1
 
4.5%
g 1
 
4.5%
Other values (3) 3
13.6%
Uppercase Letter
ValueCountFrequency (%)
R 3
30.0%
S 2
20.0%
M 1
 
10.0%
V 1
 
10.0%
A 1
 
10.0%
C 1
 
10.0%
F 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
, 26
86.7%
. 4
 
13.3%
Space Separator
ValueCountFrequency (%)
54
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 330
73.7%
Common 86
 
19.2%
Latin 32
 
7.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
음 72
21.8%
반 45
13.6%
물 29
8.8%
영 25
 
7.6%
상 25
 
7.6%
악 22
 
6.7%
제 22
 
6.7%
작 22
 
6.7%
업 5
 
1.5%
원 3
 
0.9%
Other values (41) 60
18.2%
Latin
ValueCountFrequency (%)
o 3
 
9.4%
m 3
 
9.4%
R 3
 
9.4%
r 2
 
6.2%
S 2
 
6.2%
l 2
 
6.2%
i 2
 
6.2%
e 2
 
6.2%
c 2
 
6.2%
M 1
 
3.1%
Other values (10) 10
31.2%
Common
ValueCountFrequency (%)
54
62.8%
, 26
30.2%
. 4
 
4.7%
) 1
 
1.2%
( 1
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 330
73.7%
ASCII 118
 
26.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
음 72
21.8%
반 45
13.6%
물 29
8.8%
영 25
 
7.6%
상 25
 
7.6%
악 22
 
6.7%
제 22
 
6.7%
작 22
 
6.7%
업 5
 
1.5%
원 3
 
0.9%
Other values (41) 60
18.2%
ASCII
ValueCountFrequency (%)
54
45.8%
, 26
22.0%
. 4
 
3.4%
o 3
 
2.5%
m 3
 
2.5%
R 3
 
2.5%
r 2
 
1.7%
S 2
 
1.7%
l 2
 
1.7%
i 2
 
1.7%
Other values (15) 17
 
14.4%

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

Sample

번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
01음반물제작업03_14_05_P6270000M0101201900000420191120<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>대구광역시 달서구 성당동 202번지 17호 이화빌라대구광역시 달서구 대명천로12안길 43-0, 401호 (성당동,이화빌라)<NA>제윤 크리에이티브 스튜디오 (JCS)20191120095904I2019-11-22 00:23:20.0<NA>340513.936057261086.107396음반물제작업<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>선거송, MR<NA><NA>
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번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
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