Overview

Dataset statistics

Number of variables60
Number of observations415
Missing cells13849
Missing cells (%)55.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory212.5 KiB
Average record size in memory524.3 B

Variable types

Numeric11
Categorical12
Text6
Unsupported30
DateTime1

Dataset

Description2021-05-01
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20230901050101123063

Alerts

개방서비스명 has constant value ""Constant
개방서비스id has constant value ""Constant
문화체육업종명 has constant value ""Constant
영업상태구분코드 is highly imbalanced (62.1%)Imbalance
영업상태명 is highly imbalanced (62.1%)Imbalance
상세영업상태코드 is highly imbalanced (62.1%)Imbalance
상세영업상태명 is highly imbalanced (62.1%)Imbalance
주변환경명 is highly imbalanced (81.8%)Imbalance
지하층수 is highly imbalanced (73.3%)Imbalance
건물용도명 is highly imbalanced (77.2%)Imbalance
지역구분명 is highly imbalanced (79.7%)Imbalance
인허가취소일자 has 415 (100.0%) missing valuesMissing
폐업일자 has 359 (86.5%) missing valuesMissing
휴업시작일자 has 415 (100.0%) missing valuesMissing
휴업종료일자 has 415 (100.0%) missing valuesMissing
재개업일자 has 415 (100.0%) missing valuesMissing
소재지전화 has 218 (52.5%) missing valuesMissing
소재지면적 has 415 (100.0%) missing valuesMissing
소재지우편번호 has 415 (100.0%) missing valuesMissing
도로명전체주소 has 6 (1.4%) missing valuesMissing
도로명우편번호 has 70 (16.9%) missing valuesMissing
업태구분명 has 415 (100.0%) missing valuesMissing
좌표정보(x) has 5 (1.2%) missing valuesMissing
좌표정보(y) has 5 (1.2%) missing valuesMissing
문화사업자구분명 has 415 (100.0%) missing valuesMissing
총층수 has 348 (83.9%) missing valuesMissing
시설면적 has 74 (17.8%) missing valuesMissing
지상층수 has 314 (75.7%) missing valuesMissing
통로너비 has 415 (100.0%) missing valuesMissing
조명시설조도 has 415 (100.0%) missing valuesMissing
노래방실수 has 415 (100.0%) missing valuesMissing
청소년실수 has 415 (100.0%) missing valuesMissing
비상계단여부 has 415 (100.0%) missing valuesMissing
비상구여부 has 415 (100.0%) missing valuesMissing
자동환기여부 has 415 (100.0%) missing valuesMissing
청소년실여부 has 415 (100.0%) missing valuesMissing
특수조명여부 has 415 (100.0%) missing valuesMissing
방음시설여부 has 415 (100.0%) missing valuesMissing
비디오재생기명 has 415 (100.0%) missing valuesMissing
조명시설유무 has 415 (100.0%) missing valuesMissing
음향시설여부 has 415 (100.0%) missing valuesMissing
편의시설여부 has 415 (100.0%) missing valuesMissing
소방시설여부 has 415 (100.0%) missing valuesMissing
총게임기수 has 415 (100.0%) missing valuesMissing
기존게임업외업종명 has 415 (100.0%) missing valuesMissing
제공게임물명 has 415 (100.0%) missing valuesMissing
공연장형태구분명 has 415 (100.0%) missing valuesMissing
품목명 has 415 (100.0%) missing valuesMissing
최초등록시점 has 415 (100.0%) missing valuesMissing
Unnamed: 59 has 415 (100.0%) missing valuesMissing
번호 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
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
통로너비 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설조도 is an unsupported type, check if it needs cleaning or further analysisUnsupported
노래방실수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상계단여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상구여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자동환기여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
특수조명여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방음시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비디오재생기명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
음향시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
편의시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소방시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총게임기수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기존게임업외업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제공게임물명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공연장형태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
품목명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
최초등록시점 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 59 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-17 03:49:23.401682
Analysis finished2024-04-17 03:49:24.144382
Duration0.74 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct415
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean208
Minimum1
Maximum415
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2024-04-17T12:49:24.200376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile21.7
Q1104.5
median208
Q3311.5
95-th percentile394.3
Maximum415
Range414
Interquartile range (IQR)207

Descriptive statistics

Standard deviation119.94443
Coefficient of variation (CV)0.57665592
Kurtosis-1.2
Mean208
Median Absolute Deviation (MAD)104
Skewness0
Sum86320
Variance14386.667
MonotonicityStrictly increasing
2024-04-17T12:49:24.307568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
2 1
 
0.2%
285 1
 
0.2%
284 1
 
0.2%
283 1
 
0.2%
282 1
 
0.2%
281 1
 
0.2%
280 1
 
0.2%
279 1
 
0.2%
278 1
 
0.2%
Other values (405) 405
97.6%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
415 1
0.2%
414 1
0.2%
413 1
0.2%
412 1
0.2%
411 1
0.2%
410 1
0.2%
409 1
0.2%
408 1
0.2%
407 1
0.2%
406 1
0.2%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
비디오물제작업
415 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
비디오물제작업 415
100.0%

Length

2024-04-17T12:49:24.427329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T12:49:24.524054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
비디오물제작업 415
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
03_10_05_P
415 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row03_10_05_P
2nd row03_10_05_P
3rd row03_10_05_P
4th row03_10_05_P
5th row03_10_05_P

Common Values

ValueCountFrequency (%)
03_10_05_P 415
100.0%

Length

2024-04-17T12:49:24.621450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T12:49:24.711076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_10_05_p 415
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3328819.3
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2024-04-17T12:49:24.778233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3250000
5-th percentile3260000
Q13300000
median3330000
Q33350000
95-th percentile3390000
Maximum3400000
Range150000
Interquartile range (IQR)50000

Descriptive statistics

Standard deviation38502.194
Coefficient of variation (CV)0.011566322
Kurtosis-0.62287481
Mean3328819.3
Median Absolute Deviation (MAD)30000
Skewness-0.092551269
Sum1.38146 × 109
Variance1.482419 × 109
MonotonicityNot monotonic
2024-04-17T12:49:24.870700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3330000 125
30.1%
3290000 41
 
9.9%
3380000 36
 
8.7%
3310000 33
 
8.0%
3370000 29
 
7.0%
3350000 25
 
6.0%
3390000 23
 
5.5%
3270000 22
 
5.3%
3300000 19
 
4.6%
3250000 18
 
4.3%
Other values (6) 44
 
10.6%
ValueCountFrequency (%)
3250000 18
 
4.3%
3260000 5
 
1.2%
3270000 22
 
5.3%
3280000 5
 
1.2%
3290000 41
 
9.9%
3300000 19
 
4.6%
3310000 33
 
8.0%
3320000 7
 
1.7%
3330000 125
30.1%
3340000 14
 
3.4%
ValueCountFrequency (%)
3400000 11
 
2.7%
3390000 23
 
5.5%
3380000 36
 
8.7%
3370000 29
 
7.0%
3360000 2
 
0.5%
3350000 25
 
6.0%
3340000 14
 
3.4%
3330000 125
30.1%
3320000 7
 
1.7%
3310000 33
 
8.0%

관리번호
Text

Distinct149
Distinct (%)35.9%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2024-04-17T12:49:25.035417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters8300
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

Unique78 ?
Unique (%)18.8%

Sample

1st rowCDFF1241072000000002
2nd rowCDFF1241072004000001
3rd rowCDFF1241072000000001
4th rowCDFF1241072015000002
5th rowCDFF1241072017000001
ValueCountFrequency (%)
cdff1241072019000001 12
 
2.9%
cdff1241072020000001 12
 
2.9%
cdff1241072018000001 12
 
2.9%
cdff1241072017000001 11
 
2.7%
cdff1241072015000001 10
 
2.4%
cdff1241072020000002 9
 
2.2%
cdff1241072016000001 9
 
2.2%
cdff1241072021000001 9
 
2.2%
cdff1241072011000001 9
 
2.2%
cdff1241072012000001 9
 
2.2%
Other values (139) 313
75.4%
2024-04-17T12:49:25.298956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3018
36.4%
1 1349
16.3%
2 1024
 
12.3%
F 830
 
10.0%
4 476
 
5.7%
7 472
 
5.7%
C 415
 
5.0%
D 415
 
5.0%
9 77
 
0.9%
3 68
 
0.8%
Other values (3) 156
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6640
80.0%
Uppercase Letter 1660
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3018
45.5%
1 1349
20.3%
2 1024
 
15.4%
4 476
 
7.2%
7 472
 
7.1%
9 77
 
1.2%
3 68
 
1.0%
6 56
 
0.8%
8 53
 
0.8%
5 47
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
F 830
50.0%
C 415
25.0%
D 415
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6640
80.0%
Latin 1660
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3018
45.5%
1 1349
20.3%
2 1024
 
15.4%
4 476
 
7.2%
7 472
 
7.1%
9 77
 
1.2%
3 68
 
1.0%
6 56
 
0.8%
8 53
 
0.8%
5 47
 
0.7%
Latin
ValueCountFrequency (%)
F 830
50.0%
C 415
25.0%
D 415
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8300
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3018
36.4%
1 1349
16.3%
2 1024
 
12.3%
F 830
 
10.0%
4 476
 
5.7%
7 472
 
5.7%
C 415
 
5.0%
D 415
 
5.0%
9 77
 
0.9%
3 68
 
0.8%
Other values (3) 156
 
1.9%

인허가일자
Real number (ℝ)

Distinct378
Distinct (%)91.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20140185
Minimum19820629
Maximum20210330
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2024-04-17T12:49:25.425044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19820629
5-th percentile20017614
Q120110264
median20151124
Q320190406
95-th percentile20210126
Maximum20210330
Range389701
Interquartile range (IQR)80141

Descriptive statistics

Standard deviation61547.011
Coefficient of variation (CV)0.0030559308
Kurtosis3.5159489
Mean20140185
Median Absolute Deviation (MAD)39802
Skewness-1.4658684
Sum8.3581767 × 109
Variance3.7880345 × 109
MonotonicityNot monotonic
2024-04-17T12:49:25.553020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20210304 4
 
1.0%
20200610 3
 
0.7%
20210129 2
 
0.5%
20200320 2
 
0.5%
20191128 2
 
0.5%
20051219 2
 
0.5%
20131025 2
 
0.5%
20160927 2
 
0.5%
20090109 2
 
0.5%
20190322 2
 
0.5%
Other values (368) 392
94.5%
ValueCountFrequency (%)
19820629 2
0.5%
19870318 1
0.2%
19950215 1
0.2%
19991029 1
0.2%
19991126 1
0.2%
19991230 1
0.2%
20000616 1
0.2%
20000619 1
0.2%
20000630 1
0.2%
20000721 1
0.2%
ValueCountFrequency (%)
20210330 1
 
0.2%
20210318 2
0.5%
20210316 2
0.5%
20210312 2
0.5%
20210310 1
 
0.2%
20210309 2
0.5%
20210304 4
1.0%
20210302 1
 
0.2%
20210210 1
 
0.2%
20210203 2
0.5%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing415
Missing (%)100.0%
Memory size3.8 KiB

영업상태구분코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
1
359 
3
54 
4
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row4
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
1 359
86.5%
3 54
 
13.0%
4 2
 
0.5%

Length

2024-04-17T12:49:25.680966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T12:49:25.764042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 359
86.5%
3 54
 
13.0%
4 2
 
0.5%

영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
영업/정상
359 
폐업
54 
취소/말소/만료/정지/중지
 
2

Length

Max length14
Median length5
Mean length4.653012
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row취소/말소/만료/정지/중지
2nd row취소/말소/만료/정지/중지
3rd row폐업
4th row폐업
5th row폐업

Common Values

ValueCountFrequency (%)
영업/정상 359
86.5%
폐업 54
 
13.0%
취소/말소/만료/정지/중지 2
 
0.5%

Length

2024-04-17T12:49:25.845538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T12:49:25.925617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 359
86.5%
폐업 54
 
13.0%
취소/말소/만료/정지/중지 2
 
0.5%

상세영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
13
359 
3
54 
35
 
2

Length

Max length2
Median length2
Mean length1.8698795
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row35
2nd row35
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
13 359
86.5%
3 54
 
13.0%
35 2
 
0.5%

Length

2024-04-17T12:49:26.022269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T12:49:26.109735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 359
86.5%
3 54
 
13.0%
35 2
 
0.5%

상세영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
영업중
359 
폐업
54 
직권말소
 
2

Length

Max length4
Median length3
Mean length2.8746988
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 359
86.5%
폐업 54
 
13.0%
직권말소 2
 
0.5%

Length

2024-04-17T12:49:26.211911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T12:49:26.309052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 359
86.5%
폐업 54
 
13.0%
직권말소 2
 
0.5%

폐업일자
Real number (ℝ)

MISSING 

Distinct56
Distinct (%)100.0%
Missing359
Missing (%)86.5%
Infinite0
Infinite (%)0.0%
Mean20154045
Minimum20091118
Maximum20210301
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2024-04-17T12:49:26.416924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20091118
5-th percentile20091192
Q120130567
median20160772
Q320180846
95-th percentile20203447
Maximum20210301
Range119183
Interquartile range (IQR)50279.25

Descriptive statistics

Standard deviation36820.778
Coefficient of variation (CV)0.0018269672
Kurtosis-1.0263179
Mean20154045
Median Absolute Deviation (MAD)29387.5
Skewness-0.37779904
Sum1.1286265 × 109
Variance1.3557697 × 109
MonotonicityNot monotonic
2024-04-17T12:49:26.541743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20151014 1
 
0.2%
20190117 1
 
0.2%
20201109 1
 
0.2%
20191223 1
 
0.2%
20100118 1
 
0.2%
20170331 1
 
0.2%
20140430 1
 
0.2%
20190422 1
 
0.2%
20200304 1
 
0.2%
20161207 1
 
0.2%
Other values (46) 46
 
11.1%
(Missing) 359
86.5%
ValueCountFrequency (%)
20091118 1
0.2%
20091119 1
0.2%
20091124 1
0.2%
20091214 1
0.2%
20091228 1
0.2%
20100118 1
0.2%
20100201 1
0.2%
20100303 1
0.2%
20100329 1
0.2%
20100407 1
0.2%
ValueCountFrequency (%)
20210301 1
0.2%
20210126 1
0.2%
20210122 1
0.2%
20201222 1
0.2%
20201109 1
0.2%
20200304 1
0.2%
20191231 1
0.2%
20191223 1
0.2%
20191206 1
0.2%
20190611 1
0.2%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing415
Missing (%)100.0%
Memory size3.8 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing415
Missing (%)100.0%
Memory size3.8 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing415
Missing (%)100.0%
Memory size3.8 KiB

소재지전화
Text

MISSING 

Distinct194
Distinct (%)98.5%
Missing218
Missing (%)52.5%
Memory size3.4 KiB
2024-04-17T12:49:26.742740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length11.243655
Min length8

Characters and Unicode

Total characters2215
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique191 ?
Unique (%)97.0%

Sample

1st row245-5253
2nd row051-647-9979
3rd row809-5005
4th row070-4414-1461
5th row051-898-4388
ValueCountFrequency (%)
626-0633 2
 
1.0%
051-744-3619 2
 
1.0%
070-4866-6148 2
 
1.0%
051-757-7890 1
 
0.5%
343-8280 1
 
0.5%
051-925-9901 1
 
0.5%
341-0075 1
 
0.5%
051-808-5205 1
 
0.5%
051-714-1007 1
 
0.5%
051-903-8444 1
 
0.5%
Other values (184) 184
93.4%
2024-04-17T12:49:27.072763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 352
15.9%
- 323
14.6%
1 277
12.5%
5 252
11.4%
7 197
8.9%
4 170
7.7%
6 140
 
6.3%
8 140
 
6.3%
2 133
 
6.0%
3 130
 
5.9%
Other values (3) 101
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1884
85.1%
Dash Punctuation 323
 
14.6%
Close Punctuation 6
 
0.3%
Math Symbol 2
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 352
18.7%
1 277
14.7%
5 252
13.4%
7 197
10.5%
4 170
9.0%
6 140
 
7.4%
8 140
 
7.4%
2 133
 
7.1%
3 130
 
6.9%
9 93
 
4.9%
Dash Punctuation
ValueCountFrequency (%)
- 323
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2215
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 352
15.9%
- 323
14.6%
1 277
12.5%
5 252
11.4%
7 197
8.9%
4 170
7.7%
6 140
 
6.3%
8 140
 
6.3%
2 133
 
6.0%
3 130
 
5.9%
Other values (3) 101
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2215
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 352
15.9%
- 323
14.6%
1 277
12.5%
5 252
11.4%
7 197
8.9%
4 170
7.7%
6 140
 
6.3%
8 140
 
6.3%
2 133
 
6.0%
3 130
 
5.9%
Other values (3) 101
 
4.6%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing415
Missing (%)100.0%
Memory size3.8 KiB

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing415
Missing (%)100.0%
Memory size3.8 KiB

소재지전체주소
Text

Distinct396
Distinct (%)95.4%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2024-04-17T12:49:27.290587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length38
Mean length27.077108
Min length12

Characters and Unicode

Total characters11237
Distinct characters291
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique379 ?
Unique (%)91.3%

Sample

1st row부산광역시 부산진구 부전동 260-3번지
2nd row부산광역시 북구 구포동 1060-46번지
3rd row부산광역시 중구 동광동2가 12-6번지 세동빌딩2층
4th row부산광역시 중구 대청동1가 37-1번지
5th row부산광역시 중구 영주동 23-3번지
ValueCountFrequency (%)
부산광역시 415
 
19.7%
해운대구 125
 
5.9%
우동 81
 
3.8%
부산진구 41
 
1.9%
수영구 36
 
1.7%
남구 33
 
1.6%
재송동 32
 
1.5%
연제구 29
 
1.4%
금정구 25
 
1.2%
사상구 23
 
1.1%
Other values (720) 1266
60.1%
2024-04-17T12:49:27.643295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1692
 
15.1%
산 543
 
4.8%
1 537
 
4.8%
부 508
 
4.5%
동 490
 
4.4%
광 433
 
3.9%
시 426
 
3.8%
역 416
 
3.7%
구 412
 
3.7%
지 341
 
3.0%
Other values (281) 5439
48.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6876
61.2%
Decimal Number 2317
 
20.6%
Space Separator 1692
 
15.1%
Dash Punctuation 303
 
2.7%
Uppercase Letter 28
 
0.2%
Other Punctuation 6
 
0.1%
Close Punctuation 4
 
< 0.1%
Open Punctuation 4
 
< 0.1%
Math Symbol 4
 
< 0.1%
Lowercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 543
 
7.9%
부 508
 
7.4%
동 490
 
7.1%
광 433
 
6.3%
시 426
 
6.2%
역 416
 
6.1%
구 412
 
6.0%
지 341
 
5.0%
번 325
 
4.7%
대 182
 
2.6%
Other values (251) 2800
40.7%
Decimal Number
ValueCountFrequency (%)
1 537
23.2%
2 311
13.4%
0 253
10.9%
4 238
10.3%
6 203
 
8.8%
3 194
 
8.4%
5 193
 
8.3%
7 157
 
6.8%
8 120
 
5.2%
9 111
 
4.8%
Uppercase Letter
ValueCountFrequency (%)
B 7
25.0%
A 5
17.9%
T 3
10.7%
C 2
 
7.1%
S 2
 
7.1%
N 2
 
7.1%
K 2
 
7.1%
G 2
 
7.1%
E 2
 
7.1%
I 1
 
3.6%
Lowercase Letter
ValueCountFrequency (%)
b 1
33.3%
e 1
33.3%
n 1
33.3%
Other Punctuation
ValueCountFrequency (%)
, 5
83.3%
& 1
 
16.7%
Space Separator
ValueCountFrequency (%)
1692
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 303
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6876
61.2%
Common 4330
38.5%
Latin 31
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 543
 
7.9%
부 508
 
7.4%
동 490
 
7.1%
광 433
 
6.3%
시 426
 
6.2%
역 416
 
6.1%
구 412
 
6.0%
지 341
 
5.0%
번 325
 
4.7%
대 182
 
2.6%
Other values (251) 2800
40.7%
Common
ValueCountFrequency (%)
1692
39.1%
1 537
 
12.4%
2 311
 
7.2%
- 303
 
7.0%
0 253
 
5.8%
4 238
 
5.5%
6 203
 
4.7%
3 194
 
4.5%
5 193
 
4.5%
7 157
 
3.6%
Other values (7) 249
 
5.8%
Latin
ValueCountFrequency (%)
B 7
22.6%
A 5
16.1%
T 3
9.7%
C 2
 
6.5%
S 2
 
6.5%
N 2
 
6.5%
K 2
 
6.5%
G 2
 
6.5%
E 2
 
6.5%
I 1
 
3.2%
Other values (3) 3
9.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6876
61.2%
ASCII 4361
38.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1692
38.8%
1 537
 
12.3%
2 311
 
7.1%
- 303
 
6.9%
0 253
 
5.8%
4 238
 
5.5%
6 203
 
4.7%
3 194
 
4.4%
5 193
 
4.4%
7 157
 
3.6%
Other values (20) 280
 
6.4%
Hangul
ValueCountFrequency (%)
산 543
 
7.9%
부 508
 
7.4%
동 490
 
7.1%
광 433
 
6.3%
시 426
 
6.2%
역 416
 
6.1%
구 412
 
6.0%
지 341
 
5.0%
번 325
 
4.7%
대 182
 
2.6%
Other values (251) 2800
40.7%

도로명전체주소
Text

MISSING 

Distinct404
Distinct (%)98.8%
Missing6
Missing (%)1.4%
Memory size3.4 KiB
2024-04-17T12:49:27.946583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length45
Mean length35.163814
Min length21

Characters and Unicode

Total characters14382
Distinct characters337
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique399 ?
Unique (%)97.6%

Sample

1st row부산광역시 부산진구 중앙대로 737 (부전동)
2nd row부산광역시 북구 구포만세길 111 (구포동)
3rd row부산광역시 중구 광복로97번길 19 (동광동2가,세동빌딩2층)
4th row부산광역시 중구 대청로 121-1, 101동 1208호 (대청동1가)
5th row부산광역시 중구 대영로 235, 8층 803호 (영주동)
ValueCountFrequency (%)
부산광역시 409
 
15.2%
해운대구 124
 
4.6%
우동 78
 
2.9%
부산진구 41
 
1.5%
수영구 36
 
1.3%
3층 34
 
1.3%
남구 33
 
1.2%
연제구 29
 
1.1%
재송동 29
 
1.1%
센텀동로 27
 
1.0%
Other values (877) 1853
68.8%
2024-04-17T12:49:28.380039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2342
 
16.3%
산 549
 
3.8%
동 545
 
3.8%
부 512
 
3.6%
1 471
 
3.3%
, 463
 
3.2%
광 446
 
3.1%
시 432
 
3.0%
구 414
 
2.9%
로 413
 
2.9%
Other values (327) 7795
54.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8398
58.4%
Space Separator 2342
 
16.3%
Decimal Number 2259
 
15.7%
Other Punctuation 464
 
3.2%
Close Punctuation 403
 
2.8%
Open Punctuation 403
 
2.8%
Dash Punctuation 54
 
0.4%
Uppercase Letter 52
 
0.4%
Lowercase Letter 4
 
< 0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 549
 
6.5%
동 545
 
6.5%
부 512
 
6.1%
광 446
 
5.3%
시 432
 
5.1%
구 414
 
4.9%
로 413
 
4.9%
역 412
 
4.9%
대 299
 
3.6%
호 237
 
2.8%
Other values (295) 4139
49.3%
Uppercase Letter
ValueCountFrequency (%)
A 10
19.2%
C 7
13.5%
B 7
13.5%
E 7
13.5%
T 5
9.6%
P 5
9.6%
K 3
 
5.8%
N 2
 
3.8%
S 2
 
3.8%
G 2
 
3.8%
Other values (2) 2
 
3.8%
Decimal Number
ValueCountFrequency (%)
1 471
20.8%
0 325
14.4%
2 286
12.7%
3 245
10.8%
4 192
8.5%
6 162
 
7.2%
5 160
 
7.1%
7 156
 
6.9%
9 146
 
6.5%
8 116
 
5.1%
Lowercase Letter
ValueCountFrequency (%)
e 2
50.0%
b 1
25.0%
n 1
25.0%
Other Punctuation
ValueCountFrequency (%)
, 463
99.8%
& 1
 
0.2%
Space Separator
ValueCountFrequency (%)
2342
100.0%
Close Punctuation
ValueCountFrequency (%)
) 403
100.0%
Open Punctuation
ValueCountFrequency (%)
( 403
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 54
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8398
58.4%
Common 5928
41.2%
Latin 56
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 549
 
6.5%
동 545
 
6.5%
부 512
 
6.1%
광 446
 
5.3%
시 432
 
5.1%
구 414
 
4.9%
로 413
 
4.9%
역 412
 
4.9%
대 299
 
3.6%
호 237
 
2.8%
Other values (295) 4139
49.3%
Common
ValueCountFrequency (%)
2342
39.5%
1 471
 
7.9%
, 463
 
7.8%
) 403
 
6.8%
( 403
 
6.8%
0 325
 
5.5%
2 286
 
4.8%
3 245
 
4.1%
4 192
 
3.2%
6 162
 
2.7%
Other values (7) 636
 
10.7%
Latin
ValueCountFrequency (%)
A 10
17.9%
C 7
12.5%
B 7
12.5%
E 7
12.5%
T 5
8.9%
P 5
8.9%
K 3
 
5.4%
e 2
 
3.6%
N 2
 
3.6%
S 2
 
3.6%
Other values (5) 6
10.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8398
58.4%
ASCII 5984
41.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2342
39.1%
1 471
 
7.9%
, 463
 
7.7%
) 403
 
6.7%
( 403
 
6.7%
0 325
 
5.4%
2 286
 
4.8%
3 245
 
4.1%
4 192
 
3.2%
6 162
 
2.7%
Other values (22) 692
 
11.6%
Hangul
ValueCountFrequency (%)
산 549
 
6.5%
동 545
 
6.5%
부 512
 
6.1%
광 446
 
5.3%
시 432
 
5.1%
구 414
 
4.9%
로 413
 
4.9%
역 412
 
4.9%
대 299
 
3.6%
호 237
 
2.8%
Other values (295) 4139
49.3%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct196
Distinct (%)56.8%
Missing70
Missing (%)16.9%
Infinite0
Infinite (%)0.0%
Mean64238.696
Minimum46010
Maximum616845
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2024-04-17T12:49:28.492612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46010
5-th percentile46229.2
Q147504
median48059
Q348313
95-th percentile49315.4
Maximum616845
Range570835
Interquartile range (IQR)809

Descriptive statistics

Standard deviation94890.191
Coefficient of variation (CV)1.47715
Kurtosis29.979677
Mean64238.696
Median Absolute Deviation (MAD)426
Skewness5.6393734
Sum22162350
Variance9.0041483 × 109
MonotonicityNot monotonic
2024-04-17T12:49:28.593633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48059 47
 
11.3%
48058 38
 
9.2%
48060 10
 
2.4%
48547 5
 
1.2%
47011 4
 
1.0%
47209 4
 
1.0%
46918 3
 
0.7%
48222 3
 
0.7%
48434 3
 
0.7%
48093 3
 
0.7%
Other values (186) 225
54.2%
(Missing) 70
 
16.9%
ValueCountFrequency (%)
46010 1
0.2%
46019 2
0.5%
46021 2
0.5%
46023 2
0.5%
46059 1
0.2%
46072 1
0.2%
46075 1
0.2%
46080 1
0.2%
46201 1
0.2%
46206 1
0.2%
ValueCountFrequency (%)
616845 1
0.2%
616830 1
0.2%
614860 1
0.2%
614843 1
0.2%
612725 1
0.2%
612020 1
0.2%
611840 1
0.2%
608818 1
0.2%
608806 1
0.2%
608743 1
0.2%

사업장명
Text

Distinct408
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2024-04-17T12:49:28.790243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length19
Mean length8.0963855
Min length2

Characters and Unicode

Total characters3360
Distinct characters397
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique401 ?
Unique (%)96.6%

Sample

1st row공영프로덕션
2nd row영동음향
3rd row새미프로덕션
4th row제이에이치미디어
5th row초록우주선
ValueCountFrequency (%)
주식회사 53
 
9.7%
주 8
 
1.5%
media 4
 
0.7%
커뮤니케이션 4
 
0.7%
미디어 3
 
0.6%
프로덕션 3
 
0.6%
필름 3
 
0.6%
부산 2
 
0.4%
부산지사 2
 
0.4%
디 2
 
0.4%
Other values (448) 461
84.6%
2024-04-17T12:49:29.098099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 204
 
6.1%
( 167
 
5.0%
) 167
 
5.0%
130
 
3.9%
이 115
 
3.4%
스 103
 
3.1%
디 96
 
2.9%
사 70
 
2.1%
회 59
 
1.8%
식 58
 
1.7%
Other values (387) 2191
65.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2565
76.3%
Open Punctuation 167
 
5.0%
Close Punctuation 167
 
5.0%
Uppercase Letter 166
 
4.9%
Lowercase Letter 133
 
4.0%
Space Separator 130
 
3.9%
Other Punctuation 8
 
0.2%
Decimal Number 8
 
0.2%
Dash Punctuation 7
 
0.2%
Other Symbol 7
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 204
 
8.0%
이 115
 
4.5%
스 103
 
4.0%
디 96
 
3.7%
사 70
 
2.7%
회 59
 
2.3%
식 58
 
2.3%
어 55
 
2.1%
미 52
 
2.0%
션 51
 
2.0%
Other values (327) 1702
66.4%
Uppercase Letter
ValueCountFrequency (%)
O 16
 
9.6%
A 14
 
8.4%
M 13
 
7.8%
E 11
 
6.6%
S 11
 
6.6%
J 11
 
6.6%
D 11
 
6.6%
I 11
 
6.6%
C 8
 
4.8%
K 8
 
4.8%
Other values (14) 52
31.3%
Lowercase Letter
ValueCountFrequency (%)
e 16
12.0%
n 15
11.3%
o 13
 
9.8%
i 11
 
8.3%
a 11
 
8.3%
t 9
 
6.8%
r 7
 
5.3%
u 6
 
4.5%
s 6
 
4.5%
m 5
 
3.8%
Other values (13) 34
25.6%
Decimal Number
ValueCountFrequency (%)
1 3
37.5%
2 3
37.5%
4 1
 
12.5%
9 1
 
12.5%
Other Punctuation
ValueCountFrequency (%)
. 6
75.0%
& 2
 
25.0%
Math Symbol
ValueCountFrequency (%)
> 1
50.0%
< 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 167
100.0%
Close Punctuation
ValueCountFrequency (%)
) 167
100.0%
Space Separator
ValueCountFrequency (%)
130
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2572
76.5%
Common 489
 
14.6%
Latin 299
 
8.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 204
 
7.9%
이 115
 
4.5%
스 103
 
4.0%
디 96
 
3.7%
사 70
 
2.7%
회 59
 
2.3%
식 58
 
2.3%
어 55
 
2.1%
미 52
 
2.0%
션 51
 
2.0%
Other values (328) 1709
66.4%
Latin
ValueCountFrequency (%)
e 16
 
5.4%
O 16
 
5.4%
n 15
 
5.0%
A 14
 
4.7%
o 13
 
4.3%
M 13
 
4.3%
E 11
 
3.7%
S 11
 
3.7%
J 11
 
3.7%
D 11
 
3.7%
Other values (37) 168
56.2%
Common
ValueCountFrequency (%)
( 167
34.2%
) 167
34.2%
130
26.6%
- 7
 
1.4%
. 6
 
1.2%
1 3
 
0.6%
2 3
 
0.6%
& 2
 
0.4%
4 1
 
0.2%
9 1
 
0.2%
Other values (2) 2
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2565
76.3%
ASCII 788
 
23.5%
None 7
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 204
 
8.0%
이 115
 
4.5%
스 103
 
4.0%
디 96
 
3.7%
사 70
 
2.7%
회 59
 
2.3%
식 58
 
2.3%
어 55
 
2.1%
미 52
 
2.0%
션 51
 
2.0%
Other values (327) 1702
66.4%
ASCII
ValueCountFrequency (%)
( 167
21.2%
) 167
21.2%
130
16.5%
e 16
 
2.0%
O 16
 
2.0%
n 15
 
1.9%
A 14
 
1.8%
o 13
 
1.6%
M 13
 
1.6%
E 11
 
1.4%
Other values (49) 226
28.7%
None
ValueCountFrequency (%)
㈜ 7
100.0%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct415
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.016501 × 1013
Minimum2.0091113 × 1013
Maximum2.021033 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2024-04-17T12:49:29.211288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0091113 × 1013
5-th percentile2.0091119 × 1013
Q12.0140215 × 1013
median2.0180126 × 1013
Q32.0200326 × 1013
95-th percentile2.0210304 × 1013
Maximum2.021033 × 1013
Range1.1921707 × 1011
Interquartile range (IQR)6.0110972 × 1010

Descriptive statistics

Standard deviation3.8329548 × 1010
Coefficient of variation (CV)0.0019007949
Kurtosis-0.85009459
Mean2.016501 × 1013
Median Absolute Deviation (MAD)2.0902983 × 1010
Skewness-0.64350577
Sum8.3684793 × 1015
Variance1.4691542 × 1021
MonotonicityNot monotonic
2024-04-17T12:49:29.551837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20100419093746 1
 
0.2%
20170221181208 1
 
0.2%
20181012192757 1
 
0.2%
20210217114411 1
 
0.2%
20201029115411 1
 
0.2%
20200922172256 1
 
0.2%
20170120164538 1
 
0.2%
20160715174533 1
 
0.2%
20160519155208 1
 
0.2%
20160318150009 1
 
0.2%
Other values (405) 405
97.6%
ValueCountFrequency (%)
20091113134726 1
0.2%
20091113142545 1
0.2%
20091113143243 1
0.2%
20091113160002 1
0.2%
20091113160616 1
0.2%
20091113161648 1
0.2%
20091113162717 1
0.2%
20091113162935 1
0.2%
20091113163858 1
0.2%
20091113165245 1
0.2%
ValueCountFrequency (%)
20210330201619 1
0.2%
20210325164254 1
0.2%
20210318163003 1
0.2%
20210318104403 1
0.2%
20210318095205 1
0.2%
20210316175936 1
0.2%
20210316144206 1
0.2%
20210316090832 1
0.2%
20210312154123 1
0.2%
20210312153826 1
0.2%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
I
347 
U
68 

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 347
83.6%
U 68
 
16.4%

Length

2024-04-17T12:49:29.650913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T12:49:29.726041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 347
83.6%
u 68
 
16.4%

데이터갱신일자
Date

Distinct156
Distinct (%)37.6%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
Minimum2018-08-31 23:59:59
Maximum2021-04-01 00:22:58
2024-04-17T12:49:29.814709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T12:49:29.928731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing415
Missing (%)100.0%
Memory size3.8 KiB

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct299
Distinct (%)72.9%
Missing5
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean390033.24
Minimum371436.66
Maximum401955.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2024-04-17T12:49:30.060771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum371436.66
5-th percentile380700.83
Q1387510.19
median390581.48
Q3393605.93
95-th percentile396253.93
Maximum401955.6
Range30518.937
Interquartile range (IQR)6095.741

Descriptive statistics

Standard deviation4743.4579
Coefficient of variation (CV)0.012161676
Kurtosis0.64964991
Mean390033.24
Median Absolute Deviation (MAD)3024.455
Skewness-0.60251306
Sum1.5991363 × 108
Variance22500393
MonotonicityNot monotonic
2024-04-17T12:49:30.185174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
393573.517296519 13
 
3.1%
394038.562998688 11
 
2.7%
393674.032955782 10
 
2.4%
393527.757337839 9
 
2.2%
393605.930358633 9
 
2.2%
393503.395720953 6
 
1.4%
393963.840834294 5
 
1.2%
393790.344709358 4
 
1.0%
393607.260373715 4
 
1.0%
390581.475369707 4
 
1.0%
Other values (289) 335
80.7%
(Missing) 5
 
1.2%
ValueCountFrequency (%)
371436.66179464 1
0.2%
371867.502458034 1
0.2%
378338.393294752 1
0.2%
378509.419845814 1
0.2%
378825.874128872 1
0.2%
379036.726115948 1
0.2%
379180.841823154 1
0.2%
379278.438594921 1
0.2%
379287.397315288 1
0.2%
379626.0276343 1
0.2%
ValueCountFrequency (%)
401955.599106516 1
0.2%
401727.024238188 1
0.2%
401539.592821636 1
0.2%
401071.52105582 1
0.2%
399621.427009571 1
0.2%
399100.445446232 1
0.2%
399044.865298391 1
0.2%
399016.647007495 1
0.2%
398571.069434432 1
0.2%
398517.165834892 1
0.2%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct299
Distinct (%)72.9%
Missing5
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean187332.62
Minimum174683.07
Maximum205783.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2024-04-17T12:49:30.306492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum174683.07
5-th percentile180071.47
Q1184701.54
median187815.28
Q3188440.76
95-th percentile196162.41
Maximum205783.3
Range31100.231
Interquartile range (IQR)3739.212

Descriptive statistics

Standard deviation4812.6158
Coefficient of variation (CV)0.025690218
Kurtosis2.4200292
Mean187332.62
Median Absolute Deviation (MAD)2173.5864
Skewness0.93783132
Sum76806373
Variance23161271
MonotonicityNot monotonic
2024-04-17T12:49:30.422910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
188018.687138009 13
 
3.1%
188042.384551855 11
 
2.7%
187973.297243244 10
 
2.4%
188440.756376893 9
 
2.2%
188324.973749177 9
 
2.2%
188279.474831569 6
 
1.4%
188061.35516256 5
 
1.2%
188235.889521484 4
 
1.0%
188408.076687691 4
 
1.0%
181723.441355382 4
 
1.0%
Other values (289) 335
80.7%
(Missing) 5
 
1.2%
ValueCountFrequency (%)
174683.069423816 1
0.2%
176878.908698951 1
0.2%
176954.562659915 1
0.2%
177885.551502853 1
0.2%
178402.652356076 1
0.2%
178476.553591488 1
0.2%
178508.293113873 2
0.5%
178796.08382171 1
0.2%
179408.725624905 1
0.2%
179499.862558123 1
0.2%
ValueCountFrequency (%)
205783.300431754 1
0.2%
205323.471777248 1
0.2%
205152.05176001 1
0.2%
204605.613363097 1
0.2%
204566.648874729 1
0.2%
204553.925900752 1
0.2%
204497.870904435 1
0.2%
201940.124037617 1
0.2%
199822.498546904 1
0.2%
199722.629799 1
0.2%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
비디오물제작업
415 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
비디오물제작업 415
100.0%

Length

2024-04-17T12:49:30.526645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T12:49:30.602120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
비디오물제작업 415
100.0%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing415
Missing (%)100.0%
Memory size3.8 KiB

총층수
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)22.4%
Missing348
Missing (%)83.9%
Infinite0
Infinite (%)0.0%
Mean6.5671642
Minimum1
Maximum28
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2024-04-17T12:49:30.672768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.3
Q14
median5
Q37.5
95-th percentile15
Maximum28
Range27
Interquartile range (IQR)3.5

Descriptive statistics

Standard deviation5.0609134
Coefficient of variation (CV)0.77063909
Kurtosis4.6676306
Mean6.5671642
Median Absolute Deviation (MAD)2
Skewness1.9734731
Sum440
Variance25.612845
MonotonicityNot monotonic
2024-04-17T12:49:30.778116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
5 15
 
3.6%
4 11
 
2.7%
3 9
 
2.2%
7 5
 
1.2%
15 4
 
1.0%
1 4
 
1.0%
6 3
 
0.7%
9 3
 
0.7%
2 3
 
0.7%
11 2
 
0.5%
Other values (5) 8
 
1.9%
(Missing) 348
83.9%
ValueCountFrequency (%)
1 4
 
1.0%
2 3
 
0.7%
3 9
2.2%
4 11
2.7%
5 15
3.6%
6 3
 
0.7%
7 5
 
1.2%
8 2
 
0.5%
9 3
 
0.7%
11 2
 
0.5%
ValueCountFrequency (%)
28 1
 
0.2%
20 2
 
0.5%
15 4
1.0%
13 2
 
0.5%
12 1
 
0.2%
11 2
 
0.5%
9 3
0.7%
8 2
 
0.5%
7 5
1.2%
6 3
0.7%

주변환경명
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
<NA>
387 
기타
 
16
주택가주변
 
7
아파트지역
 
2
학교정화(상대)
 
2

Length

Max length8
Median length4
Mean length3.973494
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 387
93.3%
기타 16
 
3.9%
주택가주변 7
 
1.7%
아파트지역 2
 
0.5%
학교정화(상대) 2
 
0.5%
학교정화(절대) 1
 
0.2%

Length

2024-04-17T12:49:30.884166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T12:49:30.979106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 387
93.3%
기타 16
 
3.9%
주택가주변 7
 
1.7%
아파트지역 2
 
0.5%
학교정화(상대 2
 
0.5%
학교정화(절대 1
 
0.2%

제작취급품목내용
Text

Distinct245
Distinct (%)59.0%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2024-04-17T12:49:31.162816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length27
Mean length9.8963855
Min length2

Characters and Unicode

Total characters4107
Distinct characters205
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique224 ?
Unique (%)54.0%

Sample

1st row비디오
2nd row비디오물
3rd row비디오물
4th row비디오파일, DVD
5th row방송프로그램,기업 및 관공서 홍보영상
ValueCountFrequency (%)
비디오물 115
 
13.4%
홍보영상 57
 
6.6%
제작 50
 
5.8%
등 50
 
5.8%
및 45
 
5.2%
영상물 31
 
3.6%
비디오 28
 
3.3%
일체 23
 
2.7%
비디오물제작 21
 
2.4%
광고 20
 
2.3%
Other values (242) 419
48.8%
2024-04-17T12:49:31.455815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
443
 
10.8%
영 317
 
7.7%
상 285
 
6.9%
물 256
 
6.2%
, 216
 
5.3%
디 213
 
5.2%
비 207
 
5.0%
오 204
 
5.0%
제 154
 
3.7%
작 152
 
3.7%
Other values (195) 1660
40.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3239
78.9%
Space Separator 443
 
10.8%
Other Punctuation 227
 
5.5%
Uppercase Letter 125
 
3.0%
Decimal Number 21
 
0.5%
Lowercase Letter 20
 
0.5%
Close Punctuation 14
 
0.3%
Open Punctuation 14
 
0.3%
Dash Punctuation 3
 
0.1%
Control 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 317
 
9.8%
상 285
 
8.8%
물 256
 
7.9%
디 213
 
6.6%
비 207
 
6.4%
오 204
 
6.3%
제 154
 
4.8%
작 152
 
4.7%
보 136
 
4.2%
홍 133
 
4.1%
Other values (147) 1182
36.5%
Uppercase Letter
ValueCountFrequency (%)
D 32
25.6%
V 24
19.2%
C 18
14.4%
T 11
 
8.8%
R 10
 
8.0%
F 8
 
6.4%
G 3
 
2.4%
U 3
 
2.4%
H 3
 
2.4%
I 3
 
2.4%
Other values (8) 10
 
8.0%
Lowercase Letter
ValueCountFrequency (%)
d 3
15.0%
o 3
15.0%
v 3
15.0%
t 2
10.0%
n 2
10.0%
c 2
10.0%
f 1
 
5.0%
k 1
 
5.0%
b 1
 
5.0%
e 1
 
5.0%
Decimal Number
ValueCountFrequency (%)
3 14
66.7%
2 1
 
4.8%
4 1
 
4.8%
5 1
 
4.8%
7 1
 
4.8%
1 1
 
4.8%
0 1
 
4.8%
6 1
 
4.8%
Other Punctuation
ValueCountFrequency (%)
, 216
95.2%
/ 9
 
4.0%
？ 1
 
0.4%
. 1
 
0.4%
Close Punctuation
ValueCountFrequency (%)
) 13
92.9%
」 1
 
7.1%
Open Punctuation
ValueCountFrequency (%)
( 13
92.9%
「 1
 
7.1%
Space Separator
ValueCountFrequency (%)
443
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3239
78.9%
Common 723
 
17.6%
Latin 145
 
3.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 317
 
9.8%
상 285
 
8.8%
물 256
 
7.9%
디 213
 
6.6%
비 207
 
6.4%
오 204
 
6.3%
제 154
 
4.8%
작 152
 
4.7%
보 136
 
4.2%
홍 133
 
4.1%
Other values (147) 1182
36.5%
Latin
ValueCountFrequency (%)
D 32
22.1%
V 24
16.6%
C 18
12.4%
T 11
 
7.6%
R 10
 
6.9%
F 8
 
5.5%
G 3
 
2.1%
d 3
 
2.1%
o 3
 
2.1%
U 3
 
2.1%
Other values (19) 30
20.7%
Common
ValueCountFrequency (%)
443
61.3%
, 216
29.9%
3 14
 
1.9%
) 13
 
1.8%
( 13
 
1.8%
/ 9
 
1.2%
- 3
 
0.4%
」 1
 
0.1%
2 1
 
0.1%
4 1
 
0.1%
Other values (9) 9
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3239
78.9%
ASCII 865
 
21.1%
None 3
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
443
51.2%
, 216
25.0%
D 32
 
3.7%
V 24
 
2.8%
C 18
 
2.1%
3 14
 
1.6%
) 13
 
1.5%
( 13
 
1.5%
T 11
 
1.3%
R 10
 
1.2%
Other values (35) 71
 
8.2%
Hangul
ValueCountFrequency (%)
영 317
 
9.8%
상 285
 
8.8%
물 256
 
7.9%
디 213
 
6.6%
비 207
 
6.4%
오 204
 
6.3%
제 154
 
4.8%
작 152
 
4.7%
보 136
 
4.2%
홍 133
 
4.1%
Other values (147) 1182
36.5%
None
ValueCountFrequency (%)
」 1
33.3%
？ 1
33.3%
「 1
33.3%

시설면적
Real number (ℝ)

MISSING 

Distinct284
Distinct (%)83.3%
Missing74
Missing (%)17.8%
Infinite0
Infinite (%)0.0%
Mean132.04299
Minimum0
Maximum1980
Zeros2
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2024-04-17T12:49:31.572270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile16.5
Q146.2
median84.05
Q3149.35
95-th percentile390.04
Maximum1980
Range1980
Interquartile range (IQR)103.15

Descriptive statistics

Standard deviation179.3893
Coefficient of variation (CV)1.3585673
Kurtosis39.50289
Mean132.04299
Median Absolute Deviation (MAD)44.65
Skewness5.1880923
Sum45026.66
Variance32180.519
MonotonicityNot monotonic
2024-04-17T12:49:31.682981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33.0 10
 
2.4%
84.05 4
 
1.0%
93.24 3
 
0.7%
20.0 3
 
0.7%
83.0 3
 
0.7%
90.0 3
 
0.7%
30.0 3
 
0.7%
49.5 3
 
0.7%
53.91 3
 
0.7%
52.89 3
 
0.7%
Other values (274) 303
73.0%
(Missing) 74
 
17.8%
ValueCountFrequency (%)
0.0 2
0.5%
1.8 1
0.2%
3.3 2
0.5%
3.5 1
0.2%
4.76 1
0.2%
6.55 1
0.2%
6.6 1
0.2%
8.0 1
0.2%
10.0 2
0.5%
10.12 1
0.2%
ValueCountFrequency (%)
1980.0 1
0.2%
1064.28 2
0.5%
1027.24 1
0.2%
852.13 1
0.2%
806.7 1
0.2%
741.88 1
0.2%
732.0 1
0.2%
521.85 1
0.2%
477.59 1
0.2%
470.0 2
0.5%

지상층수
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)16.8%
Missing314
Missing (%)75.7%
Infinite0
Infinite (%)0.0%
Mean5.8712871
Minimum1
Maximum24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2024-04-17T12:49:31.784094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q37
95-th percentile16
Maximum24
Range23
Interquartile range (IQR)4

Descriptive statistics

Standard deviation4.5709154
Coefficient of variation (CV)0.77852016
Kurtosis3.087474
Mean5.8712871
Median Absolute Deviation (MAD)2
Skewness1.7320739
Sum593
Variance20.893267
MonotonicityNot monotonic
2024-04-17T12:49:31.876078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
3 20
 
4.8%
4 16
 
3.9%
2 13
 
3.1%
5 12
 
2.9%
7 6
 
1.4%
8 5
 
1.2%
1 5
 
1.2%
6 4
 
1.0%
12 4
 
1.0%
11 3
 
0.7%
Other values (7) 13
 
3.1%
(Missing) 314
75.7%
ValueCountFrequency (%)
1 5
 
1.2%
2 13
3.1%
3 20
4.8%
4 16
3.9%
5 12
2.9%
6 4
 
1.0%
7 6
 
1.4%
8 5
 
1.2%
9 2
 
0.5%
10 2
 
0.5%
ValueCountFrequency (%)
24 1
 
0.2%
20 2
 
0.5%
18 1
 
0.2%
16 2
 
0.5%
13 3
0.7%
12 4
1.0%
11 3
0.7%
10 2
 
0.5%
9 2
 
0.5%
8 5
1.2%

지하층수
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
<NA>
369 
1
 
28
0
 
7
2
 
6
3
 
3

Length

Max length4
Median length4
Mean length3.6674699
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> 369
88.9%
1 28
 
6.7%
0 7
 
1.7%
2 6
 
1.4%
3 3
 
0.7%
5 2
 
0.5%

Length

2024-04-17T12:49:31.971336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T12:49:32.066739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 369
88.9%
1 28
 
6.7%
0 7
 
1.7%
2 6
 
1.4%
3 3
 
0.7%
5 2
 
0.5%

건물용도명
Categorical

IMBALANCE 

Distinct9
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
<NA>
370 
근린생활시설
 
22
사무실
 
10
교육연구시설
 
7
기타
 
2
Other values (4)
 
4

Length

Max length15
Median length4
Mean length4.1301205
Min length2

Unique

Unique4 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 370
89.2%
근린생활시설 22
 
5.3%
사무실 10
 
2.4%
교육연구시설 7
 
1.7%
기타 2
 
0.5%
아파트 1
 
0.2%
단독주택 1
 
0.2%
다가구용 주택(공동주택적용) 1
 
0.2%
생산시설 1
 
0.2%

Length

2024-04-17T12:49:32.164854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T12:49:32.270615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 370
88.9%
근린생활시설 22
 
5.3%
사무실 10
 
2.4%
교육연구시설 7
 
1.7%
기타 2
 
0.5%
아파트 1
 
0.2%
단독주택 1
 
0.2%
다가구용 1
 
0.2%
주택(공동주택적용 1
 
0.2%
생산시설 1
 
0.2%

통로너비
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing415
Missing (%)100.0%
Memory size3.8 KiB

조명시설조도
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing415
Missing (%)100.0%
Memory size3.8 KiB

노래방실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing415
Missing (%)100.0%
Memory size3.8 KiB

청소년실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing415
Missing (%)100.0%
Memory size3.8 KiB

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing415
Missing (%)100.0%
Memory size3.8 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing415
Missing (%)100.0%
Memory size3.8 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing415
Missing (%)100.0%
Memory size3.8 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing415
Missing (%)100.0%
Memory size3.8 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing415
Missing (%)100.0%
Memory size3.8 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing415
Missing (%)100.0%
Memory size3.8 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing415
Missing (%)100.0%
Memory size3.8 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing415
Missing (%)100.0%
Memory size3.8 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing415
Missing (%)100.0%
Memory size3.8 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing415
Missing (%)100.0%
Memory size3.8 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing415
Missing (%)100.0%
Memory size3.8 KiB

총게임기수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing415
Missing (%)100.0%
Memory size3.8 KiB

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing415
Missing (%)100.0%
Memory size3.8 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing415
Missing (%)100.0%
Memory size3.8 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing415
Missing (%)100.0%
Memory size3.8 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing415
Missing (%)100.0%
Memory size3.8 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing415
Missing (%)100.0%
Memory size3.8 KiB

지역구분명
Categorical

IMBALANCE 

Distinct11
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
<NA>
377 
일반상업지역
 
12
일반주거지역
 
7
자연녹지지역
 
5
준주거지역
 
4
Other values (6)
 
10

Length

Max length6
Median length4
Mean length4.1445783
Min length4

Unique

Unique3 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 377
90.8%
일반상업지역 12
 
2.9%
일반주거지역 7
 
1.7%
자연녹지지역 5
 
1.2%
준주거지역 4
 
1.0%
상업지역 3
 
0.7%
근린상업지역 2
 
0.5%
준공업지역 2
 
0.5%
녹지지역 1
 
0.2%
주거지역 1
 
0.2%

Length

2024-04-17T12:49:32.392270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 377
90.8%
일반상업지역 12
 
2.9%
일반주거지역 7
 
1.7%
자연녹지지역 5
 
1.2%
준주거지역 4
 
1.0%
상업지역 3
 
0.7%
근린상업지역 2
 
0.5%
준공업지역 2
 
0.5%
녹지지역 1
 
0.2%
주거지역 1
 
0.2%

Unnamed: 59
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing415
Missing (%)100.0%
Memory size3.8 KiB

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명Unnamed: 59
01비디오물제작업03_10_05_P3290000CDFF124107200000000220000901<NA>4취소/말소/만료/정지/중지35직권말소20100329<NA><NA><NA><NA><NA><NA>부산광역시 부산진구 부전동 260-3번지부산광역시 부산진구 중앙대로 737 (부전동)<NA>공영프로덕션20100419093746I2018-08-31 23:59:59.0<NA>387573.845976186341.582104비디오물제작업<NA><NA><NA>비디오<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>
12비디오물제작업03_10_05_P3320000CDFF124107200400000120040612<NA>4취소/말소/만료/정지/중지35직권말소20170221<NA><NA><NA><NA><NA><NA>부산광역시 북구 구포동 1060-46번지부산광역시 북구 구포만세길 111 (구포동)46501영동음향20170221181208I2018-08-31 23:59:59.0<NA>381859.396769191549.285622비디오물제작업<NA><NA><NA>비디오물<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>
23비디오물제작업03_10_05_P3250000CDFF124107200000000120000619<NA>3폐업3폐업20100201<NA><NA><NA>245-5253<NA><NA>부산광역시 중구 동광동2가 12-6번지 세동빌딩2층부산광역시 중구 광복로97번길 19 (동광동2가,세동빌딩2층)<NA>새미프로덕션20100202090726I2018-08-31 23:59:59.0<NA>385467.464003179815.581557비디오물제작업<NA><NA><NA>비디오물<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>
34비디오물제작업03_10_05_P3250000CDFF124107201500000220150617<NA>3폐업3폐업20180725<NA><NA><NA><NA><NA><NA>부산광역시 중구 대청동1가 37-1번지부산광역시 중구 대청로 121-1, 101동 1208호 (대청동1가)48932제이에이치미디어20180725160214I2018-08-31 23:59:59.0<NA>385306.698877180120.939471비디오물제작업<NA><NA><NA>비디오파일, DVD25.3612<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>
45비디오물제작업03_10_05_P3250000CDFF124107201700000120170116<NA>3폐업3폐업20180720<NA><NA><NA><NA><NA><NA>부산광역시 중구 영주동 23-3번지부산광역시 중구 대영로 235, 8층 803호 (영주동)48911초록우주선20180720161801I2018-08-31 23:59:59.0<NA>385585.321891181149.765236비디오물제작업<NA><NA><NA>방송프로그램,기업 및 관공서 홍보영상0.0<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>
56비디오물제작업03_10_05_P3300000CDFF124107200900000320090904<NA>3폐업3폐업20130720<NA><NA><NA><NA><NA><NA>부산광역시 동래구 안락동 444-41번지 청초골드빌 503호동부산광역시 동래구 명안로39번길 6-19, 503호동 (안락동,청초골드빌)<NA>엔씨미디어20180723094132I2018-08-31 23:59:59.0<NA>391515.95041191068.489094비디오물제작업<NA><NA><NA>비디오물<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>
67비디오물제작업03_10_05_P3300000CDFF124107201600000320160422<NA>3폐업3폐업20161104<NA><NA><NA><NA><NA><NA>부산광역시 동래구 온천동 1428-30번지부산광역시 동래구 충렬대로 91, 5층 (온천동)47731주식회사 부산항공20161104141133I2018-08-31 23:59:59.0<NA>388532.936822191774.030081비디오물제작업<NA><NA><NA>홍보, 광고, 교육, 방송영상제작77.47<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>
78비디오물제작업03_10_05_P3370000CDFF124107200800000120080307<NA>3폐업3폐업20160718<NA><NA><NA>051-647-9979<NA><NA>부산광역시 연제구 연산동 683-11번지 4층부산광역시 연제구 월드컵대로 18 (연산동,4층)<NA>(주)엑스윈프로덕션20160718112911I2018-08-31 23:59:59.0<NA>389984.630453188333.519084비디오물제작업<NA><NA><NA>비디오<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>
89비디오물제작업03_10_05_P3370000CDFF124107198700000119870318<NA>3폐업3폐업20091228<NA><NA><NA><NA><NA><NA>부산광역시 연제구 연산동 726-17번지부산광역시 연제구 중앙대로 1108 (연산동)<NA>유스프로덕션20100104164913I2018-08-31 23:59:59.0<NA>389566.590672189496.634363비디오물제작업<NA><NA><NA>비디오<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>
910비디오물제작업03_10_05_P3370000CDFF124107200400000120040716<NA>3폐업3폐업20091119<NA><NA><NA><NA><NA><NA>부산광역시 연제구 연산동 702-9번지 뉴그랜드오피스텔 110호부산광역시 연제구 중앙대로 1078, 110호 (연산동,뉴그랜드오피스텔)<NA>(주)지에스피아20091119111624I2018-08-31 23:59:59.0<NA>389444.436546189180.052866비디오물제작업<NA><NA><NA>비디오<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>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명Unnamed: 59
405406비디오물제작업03_10_05_P3330000CDFF124107201800001420181025<NA>1영업/정상13영업중<NA><NA><NA><NA>051-851-3274<NA><NA>부산광역시 해운대구 우동 1500번지 벡스코부산광역시 해운대구 APEC로 55, 벡스코 3층 351호 (우동)48060주식회사 콜링씨앤디20181025132331I2018-10-27 02:36:13.0<NA>394482.139208187606.035424비디오물제작업<NA><NA><NA>홍보영상물 제작73.83<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>
406407비디오물제작업03_10_05_P3330000CDFF124107201800001220181024<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 재송동 1208-2번지 센텀스카이비즈 A동 3811호부산광역시 해운대구 센텀중앙로 97, 센텀스카이비즈 A동 3811호 (재송동)48058온플러스20181024094714I2018-10-26 02:35:59.0<NA>393503.395721188279.474832비디오물제작업<NA><NA><NA>기업홍보 및 제품홍보용 영상물158.01<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>
407408비디오물제작업03_10_05_P3330000CDFF124107201800001520181121<NA>1영업/정상13영업중<NA><NA><NA><NA>051-744-3619<NA><NA>부산광역시 해운대구 재송동 447-1 도시다온 지하1층부산광역시 해운대구 재반로11번길 56, 도시다온 지하1층 (재송동)48056주식회사 에스아이디연구소20200929144519U2020-10-01 02:40:00.0<NA>393503.395721188279.474832비디오물제작업<NA><NA><NA>2D,3D동영상제작편집.영상제작90.0<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>
408409비디오물제작업03_10_05_P3330000CDFF124107202000002020201215<NA>1영업/정상13영업중<NA><NA><NA><NA>051-1688-5187<NA><NA>부산광역시 해운대구 우동 1523 더블유비씨더팔레스오피스텔 102동 2701호부산광역시 해운대구 센텀1로 28, 더블유비씨더팔레스오피스텔 102동 2701호 (우동)48060(주) 브라보소프트20201215151628I2020-12-17 00:23:06.0<NA>394115.595091187246.521205비디오물제작업<NA><NA><NA>제품 동영상 등 비디오물 일체223.53<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>
409410비디오물제작업03_10_05_P3330000CDFF124107202000002120201221<NA>1영업/정상13영업중<NA><NA><NA><NA>051-204-7879<NA><NA>부산광역시 해운대구 재송동 1212 큐비이센텀 206호부산광역시 해운대구 센텀중앙로 90, 큐비이센텀 206호 (재송동)48059코리아기획20201221094212I2020-12-23 00:23:05.0<NA>393605.930359188324.973749비디오물제작업<NA><NA><NA>비디오물 일체88.56<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>
410411비디오물제작업03_10_05_P3330000CDFF124107202100000120210106<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 우동 1466-1 부산문화콘텐츠컴플렉스 5층 부산콘텐츠코리아랩 입주실 2호부산광역시 해운대구 수영강변대로 140, 부산문화콘텐츠컴플렉스 5층 부산콘텐츠코리아랩 입주실 2호 (우동)48058푸가트컴퍼니20210106115013I2021-01-08 00:23:04.0<NA>393573.517297188018.687138비디오물제작업<NA><NA><NA>비디오, 동영상 일체10.12<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>
411412비디오물제작업03_10_05_P3330000CDFF124107200300000120031126<NA>1영업/정상13영업중<NA><NA><NA><NA>051-757-7890<NA><NA>부산광역시 해운대구 우동 1475 센텀벤처타운 505호부산광역시 해운대구 센텀동로 41, 505호 (우동, 센텀벤처타운)48059(주)미디어유성20201229130708I2020-12-31 00:23:05.0<NA>394038.562999188042.384552비디오물제작업<NA><NA><NA>영상, 비디오물<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>
412413비디오물제작업03_10_05_P3330000CDFF124107202100000420210203<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 우동 1474 센텀에스에이치밸리 308호부산광역시 해운대구 센텀동로 35, 센텀에스에이치밸리 308호 (우동)48059(주)일렉오션20210203161129I2021-02-05 00:23:13.0<NA>394067.607348188000.240488비디오물제작업<NA><NA><NA>교양(정보), MCN 콘텐츠, 해양방송 등142.78<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>
413414비디오물제작업03_10_05_P3330000CDFF124107202100000220190322<NA>1영업/정상13영업중<NA><NA><NA><NA>051-714-0774<NA><NA>부산광역시 해운대구 우동 1466-2 영상산업센터 709호부산광역시 해운대구 센텀서로 39, 영상산업센터 709호 (우동)48058주식회사 엔에스솔루션20210115114117U2021-01-17 02:40:00.0<NA>393674.032956187973.297243비디오물제작업<NA><NA><NA>가상현실,증강현실용 영상물 제작29.75<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>
414415비디오물제작업03_10_05_P3330000CDFF124107202100000320210129<NA>1영업/정상13영업중<NA><NA><NA><NA>0517838601<NA><NA>부산광역시 해운대구 재송동 1208-2 센텀스카이비즈 A동 806호부산광역시 해운대구 센텀중앙로 97, 센텀스카이비즈 A동 806호 (재송동)48058해운대판촉물20210129110036I2021-01-31 00:23:03.0<NA>393503.395721188279.474832비디오물제작업<NA><NA><NA>광고영상 등 비디오물 일체93.24<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>