Overview

Dataset statistics

Number of variables60
Number of observations396
Missing cells13208
Missing cells (%)55.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory202.8 KiB
Average record size in memory524.3 B

Variable types

Numeric11
Categorical12
Text6
Unsupported30
DateTime1

Dataset

Description2021-03-01
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 (61.3%)Imbalance
영업상태명 is highly imbalanced (61.3%)Imbalance
상세영업상태코드 is highly imbalanced (61.3%)Imbalance
상세영업상태명 is highly imbalanced (61.3%)Imbalance
주변환경명 is highly imbalanced (81.2%)Imbalance
지하층수 is highly imbalanced (72.4%)Imbalance
건물용도명 is highly imbalanced (76.4%)Imbalance
지역구분명 is highly imbalanced (78.9%)Imbalance
인허가취소일자 has 396 (100.0%) missing valuesMissing
폐업일자 has 341 (86.1%) missing valuesMissing
휴업시작일자 has 396 (100.0%) missing valuesMissing
휴업종료일자 has 396 (100.0%) missing valuesMissing
재개업일자 has 396 (100.0%) missing valuesMissing
소재지전화 has 202 (51.0%) missing valuesMissing
소재지면적 has 396 (100.0%) missing valuesMissing
소재지우편번호 has 396 (100.0%) missing valuesMissing
도로명전체주소 has 6 (1.5%) missing valuesMissing
도로명우편번호 has 70 (17.7%) missing valuesMissing
업태구분명 has 396 (100.0%) missing valuesMissing
좌표정보(x) has 5 (1.3%) missing valuesMissing
좌표정보(y) has 5 (1.3%) missing valuesMissing
문화사업자구분명 has 396 (100.0%) missing valuesMissing
총층수 has 329 (83.1%) missing valuesMissing
시설면적 has 74 (18.7%) missing valuesMissing
지상층수 has 296 (74.7%) missing valuesMissing
통로너비 has 396 (100.0%) missing valuesMissing
조명시설조도 has 396 (100.0%) missing valuesMissing
노래방실수 has 396 (100.0%) missing valuesMissing
청소년실수 has 396 (100.0%) missing valuesMissing
비상계단여부 has 396 (100.0%) missing valuesMissing
비상구여부 has 396 (100.0%) missing valuesMissing
자동환기여부 has 396 (100.0%) missing valuesMissing
청소년실여부 has 396 (100.0%) missing valuesMissing
특수조명여부 has 396 (100.0%) missing valuesMissing
방음시설여부 has 396 (100.0%) missing valuesMissing
비디오재생기명 has 396 (100.0%) missing valuesMissing
조명시설유무 has 396 (100.0%) missing valuesMissing
음향시설여부 has 396 (100.0%) missing valuesMissing
편의시설여부 has 396 (100.0%) missing valuesMissing
소방시설여부 has 396 (100.0%) missing valuesMissing
총게임기수 has 396 (100.0%) missing valuesMissing
기존게임업외업종명 has 396 (100.0%) missing valuesMissing
제공게임물명 has 396 (100.0%) missing valuesMissing
공연장형태구분명 has 396 (100.0%) missing valuesMissing
품목명 has 396 (100.0%) missing valuesMissing
최초등록시점 has 396 (100.0%) missing valuesMissing
Unnamed: 59 has 396 (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 03:49:44.033209
Analysis finished2024-04-17 03:49:44.812333
Duration0.78 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct396
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean198.5
Minimum1
Maximum396
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2024-04-17T12:49:44.868042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile20.75
Q199.75
median198.5
Q3297.25
95-th percentile376.25
Maximum396
Range395
Interquartile range (IQR)197.5

Descriptive statistics

Standard deviation114.4596
Coefficient of variation (CV)0.57662267
Kurtosis-1.2
Mean198.5
Median Absolute Deviation (MAD)99
Skewness0
Sum78606
Variance13101
MonotonicityStrictly increasing
2024-04-17T12:49:44.977374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
274 1
 
0.3%
272 1
 
0.3%
271 1
 
0.3%
270 1
 
0.3%
269 1
 
0.3%
268 1
 
0.3%
267 1
 
0.3%
266 1
 
0.3%
265 1
 
0.3%
Other values (386) 386
97.5%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
396 1
0.3%
395 1
0.3%
394 1
0.3%
393 1
0.3%
392 1
0.3%
391 1
0.3%
390 1
0.3%
389 1
0.3%
388 1
0.3%
387 1
0.3%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
비디오물제작업
396 

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 396
100.0%

Length

2024-04-17T12:49:45.079931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T12:49:45.149583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
비디오물제작업 396
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
03_10_05_P
396 

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 396
100.0%

Length

2024-04-17T12:49:45.222882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T12:49:45.317888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_10_05_p 396
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3329318.2
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2024-04-17T12:49:45.389327image/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 deviation38428.494
Coefficient of variation (CV)0.011542452
Kurtosis-0.61530054
Mean3329318.2
Median Absolute Deviation (MAD)30000
Skewness-0.10320384
Sum1.31841 × 109
Variance1.4767491 × 109
MonotonicityNot monotonic
2024-04-17T12:49:45.481007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3330000 116
29.3%
3290000 38
 
9.6%
3380000 36
 
9.1%
3310000 33
 
8.3%
3370000 28
 
7.1%
3350000 25
 
6.3%
3390000 21
 
5.3%
3270000 19
 
4.8%
3300000 19
 
4.8%
3250000 17
 
4.3%
Other values (6) 44
 
11.1%
ValueCountFrequency (%)
3250000 17
 
4.3%
3260000 5
 
1.3%
3270000 19
 
4.8%
3280000 5
 
1.3%
3290000 38
 
9.6%
3300000 19
 
4.8%
3310000 33
 
8.3%
3320000 7
 
1.8%
3330000 116
29.3%
3340000 14
 
3.5%
ValueCountFrequency (%)
3400000 11
 
2.8%
3390000 21
 
5.3%
3380000 36
 
9.1%
3370000 28
 
7.1%
3360000 2
 
0.5%
3350000 25
 
6.3%
3340000 14
 
3.5%
3330000 116
29.3%
3320000 7
 
1.8%
3310000 33
 
8.3%

관리번호
Text

Distinct140
Distinct (%)35.4%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2024-04-17T12:49:45.645485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters7920
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

Unique74 ?
Unique (%)18.7%

Sample

1st rowCDFF1241072000000001
2nd rowCDFF1241072015000002
3rd rowCDFF1241072017000001
4th rowCDFF1241072000000002
5th rowCDFF1241072004000001
ValueCountFrequency (%)
cdff1241072018000001 12
 
3.0%
cdff1241072020000001 12
 
3.0%
cdff1241072019000001 12
 
3.0%
cdff1241072017000001 11
 
2.8%
cdff1241072016000001 10
 
2.5%
cdff1241072015000001 10
 
2.5%
cdff1241072020000002 10
 
2.5%
cdff1241072011000001 9
 
2.3%
cdff1241072012000001 9
 
2.3%
cdff1241072017000002 8
 
2.0%
Other values (130) 293
74.0%
2024-04-17T12:49:45.905284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2891
36.5%
1 1283
16.2%
2 961
 
12.1%
F 792
 
10.0%
4 455
 
5.7%
7 451
 
5.7%
C 396
 
5.0%
D 396
 
5.0%
9 76
 
1.0%
3 65
 
0.8%
Other values (3) 154
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6336
80.0%
Uppercase Letter 1584
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2891
45.6%
1 1283
20.2%
2 961
 
15.2%
4 455
 
7.2%
7 451
 
7.1%
9 76
 
1.2%
3 65
 
1.0%
6 55
 
0.9%
8 53
 
0.8%
5 46
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
F 792
50.0%
C 396
25.0%
D 396
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6336
80.0%
Latin 1584
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2891
45.6%
1 1283
20.2%
2 961
 
15.2%
4 455
 
7.2%
7 451
 
7.1%
9 76
 
1.2%
3 65
 
1.0%
6 55
 
0.9%
8 53
 
0.8%
5 46
 
0.7%
Latin
ValueCountFrequency (%)
F 792
50.0%
C 396
25.0%
D 396
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7920
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2891
36.5%
1 1283
16.2%
2 961
 
12.1%
F 792
 
10.0%
4 455
 
5.7%
7 451
 
5.7%
C 396
 
5.0%
D 396
 
5.0%
9 76
 
1.0%
3 65
 
0.8%
Other values (3) 154
 
1.9%

인허가일자
Real number (ℝ)

Distinct367
Distinct (%)92.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20136872
Minimum19820629
Maximum20210129
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2024-04-17T12:49:46.019797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19820629
5-th percentile20011060
Q120110116
median20150565
Q320190144
95-th percentile20200822
Maximum20210129
Range389500
Interquartile range (IQR)80028.25

Descriptive statistics

Standard deviation61065.082
Coefficient of variation (CV)0.0030325009
Kurtosis3.6291966
Mean20136872
Median Absolute Deviation (MAD)39838.5
Skewness-1.4803708
Sum7.9742013 × 109
Variance3.7289443 × 109
MonotonicityNot monotonic
2024-04-17T12:49:46.148108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20200610 3
 
0.8%
20040312 2
 
0.5%
20110120 2
 
0.5%
20140416 2
 
0.5%
20191128 2
 
0.5%
20031126 2
 
0.5%
20051219 2
 
0.5%
20090109 2
 
0.5%
20130524 2
 
0.5%
20170822 2
 
0.5%
Other values (357) 375
94.7%
ValueCountFrequency (%)
19820629 2
0.5%
19870318 1
0.3%
19950215 1
0.3%
19991029 1
0.3%
19991126 1
0.3%
19991230 1
0.3%
20000616 1
0.3%
20000619 1
0.3%
20000630 1
0.3%
20000721 1
0.3%
ValueCountFrequency (%)
20210129 2
0.5%
20210127 1
0.3%
20210126 1
0.3%
20210114 1
0.3%
20210107 1
0.3%
20210106 1
0.3%
20201221 1
0.3%
20201216 1
0.3%
20201215 1
0.3%
20201127 1
0.3%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing396
Missing (%)100.0%
Memory size3.6 KiB

영업상태구분코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
1
341 
3
53 
4
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 341
86.1%
3 53
 
13.4%
4 2
 
0.5%

Length

2024-04-17T12:49:46.248828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T12:49:46.567893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 341
86.1%
3 53
 
13.4%
4 2
 
0.5%

영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
영업/정상
341 
폐업
53 
취소/말소/만료/정지/중지
 
2

Length

Max length14
Median length5
Mean length4.6439394
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 341
86.1%
폐업 53
 
13.4%
취소/말소/만료/정지/중지 2
 
0.5%

Length

2024-04-17T12:49:46.651568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T12:49:46.762691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 341
86.1%
폐업 53
 
13.4%
취소/말소/만료/정지/중지 2
 
0.5%

상세영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
13
341 
3
53 
35
 
2

Length

Max length2
Median length2
Mean length1.8661616
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 341
86.1%
3 53
 
13.4%
35 2
 
0.5%

Length

2024-04-17T12:49:46.850685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T12:49:46.936270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 341
86.1%
3 53
 
13.4%
35 2
 
0.5%

상세영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
영업중
341 
폐업
53 
직권말소
 
2

Length

Max length4
Median length3
Mean length2.8712121
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 341
86.1%
폐업 53
 
13.4%
직권말소 2
 
0.5%

Length

2024-04-17T12:49:47.028517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T12:49:47.119410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 341
86.1%
폐업 53
 
13.4%
직권말소 2
 
0.5%

폐업일자
Real number (ℝ)

MISSING 

Distinct55
Distinct (%)100.0%
Missing341
Missing (%)86.1%
Infinite0
Infinite (%)0.0%
Mean20153022
Minimum20091118
Maximum20210126
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2024-04-17T12:49:47.213294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20091118
5-th percentile20091187
Q120130414
median20160718
Q320180722
95-th percentile20201143
Maximum20210126
Range119008
Interquartile range (IQR)50308.5

Descriptive statistics

Standard deviation36348.371
Coefficient of variation (CV)0.0018036189
Kurtosis-1.0400599
Mean20153022
Median Absolute Deviation (MAD)29399
Skewness-0.38387931
Sum1.1084162 × 109
Variance1.3212041 × 109
MonotonicityNot monotonic
2024-04-17T12:49:47.330012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20180725 1
 
0.3%
20201109 1
 
0.3%
20191223 1
 
0.3%
20100118 1
 
0.3%
20170331 1
 
0.3%
20140430 1
 
0.3%
20190422 1
 
0.3%
20200304 1
 
0.3%
20161207 1
 
0.3%
20171120 1
 
0.3%
Other values (45) 45
 
11.4%
(Missing) 341
86.1%
ValueCountFrequency (%)
20091118 1
0.3%
20091119 1
0.3%
20091124 1
0.3%
20091214 1
0.3%
20091228 1
0.3%
20100118 1
0.3%
20100201 1
0.3%
20100303 1
0.3%
20100329 1
0.3%
20100407 1
0.3%
ValueCountFrequency (%)
20210126 1
0.3%
20210122 1
0.3%
20201222 1
0.3%
20201109 1
0.3%
20200304 1
0.3%
20191231 1
0.3%
20191223 1
0.3%
20191206 1
0.3%
20190611 1
0.3%
20190422 1
0.3%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing396
Missing (%)100.0%
Memory size3.6 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing396
Missing (%)100.0%
Memory size3.6 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing396
Missing (%)100.0%
Memory size3.6 KiB

소재지전화
Text

MISSING 

Distinct191
Distinct (%)98.5%
Missing202
Missing (%)51.0%
Memory size3.2 KiB
2024-04-17T12:49:47.542837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length11.21134
Min length8

Characters and Unicode

Total characters2175
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

Unique188 ?
Unique (%)96.9%

Sample

1st row245-5253
2nd row243-8633
3rd row0513613373
4th row051-463-7741
5th row051-441-8288
ValueCountFrequency (%)
051-744-3619 2
 
1.0%
626-0633 2
 
1.0%
070-4866-6148 2
 
1.0%
051-757-7890 1
 
0.5%
051-805-6494 1
 
0.5%
1544-7789 1
 
0.5%
070-4187-0270 1
 
0.5%
051-958-3650 1
 
0.5%
0517460407 1
 
0.5%
343-8280 1
 
0.5%
Other values (181) 181
93.3%
2024-04-17T12:49:47.860975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 348
16.0%
- 313
14.4%
1 277
12.7%
5 251
11.5%
7 191
8.8%
4 167
7.7%
8 135
 
6.2%
6 133
 
6.1%
2 132
 
6.1%
3 127
 
5.8%
Other values (3) 101
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1854
85.2%
Dash Punctuation 313
 
14.4%
Close Punctuation 6
 
0.3%
Math Symbol 2
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 348
18.8%
1 277
14.9%
5 251
13.5%
7 191
10.3%
4 167
9.0%
8 135
 
7.3%
6 133
 
7.2%
2 132
 
7.1%
3 127
 
6.9%
9 93
 
5.0%
Dash Punctuation
ValueCountFrequency (%)
- 313
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2175
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 348
16.0%
- 313
14.4%
1 277
12.7%
5 251
11.5%
7 191
8.8%
4 167
7.7%
8 135
 
6.2%
6 133
 
6.1%
2 132
 
6.1%
3 127
 
5.8%
Other values (3) 101
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2175
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 348
16.0%
- 313
14.4%
1 277
12.7%
5 251
11.5%
7 191
8.8%
4 167
7.7%
8 135
 
6.2%
6 133
 
6.1%
2 132
 
6.1%
3 127
 
5.8%
Other values (3) 101
 
4.6%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing396
Missing (%)100.0%
Memory size3.6 KiB

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing396
Missing (%)100.0%
Memory size3.6 KiB

소재지전체주소
Text

Distinct378
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2024-04-17T12:49:48.081461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length39
Mean length27.063131
Min length12

Characters and Unicode

Total characters10717
Distinct characters289
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

Unique363 ?
Unique (%)91.7%

Sample

1st row부산광역시 중구 동광동2가 12-6번지 세동빌딩2층
2nd row부산광역시 중구 대청동1가 37-1번지
3rd row부산광역시 중구 영주동 23-3번지
4th row부산광역시 중구 중앙동2가 24번지 선박빌딩4층
5th row부산광역시 중구 중앙동3가 부산우체국 12층
ValueCountFrequency (%)
부산광역시 396
 
19.8%
해운대구 116
 
5.8%
우동 77
 
3.8%
부산진구 38
 
1.9%
수영구 36
 
1.8%
남구 33
 
1.6%
연제구 28
 
1.4%
재송동 27
 
1.3%
금정구 25
 
1.2%
사상구 21
 
1.0%
Other values (689) 1207
60.2%
2024-04-17T12:49:48.462227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1609
 
15.0%
산 518
 
4.8%
1 502
 
4.7%
부 486
 
4.5%
동 464
 
4.3%
광 414
 
3.9%
시 405
 
3.8%
역 397
 
3.7%
구 393
 
3.7%
지 349
 
3.3%
Other values (279) 5180
48.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6592
61.5%
Decimal Number 2180
 
20.3%
Space Separator 1609
 
15.0%
Dash Punctuation 288
 
2.7%
Uppercase Letter 29
 
0.3%
Close Punctuation 4
 
< 0.1%
Open Punctuation 4
 
< 0.1%
Math Symbol 4
 
< 0.1%
Other Punctuation 4
 
< 0.1%
Lowercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 518
 
7.9%
부 486
 
7.4%
동 464
 
7.0%
광 414
 
6.3%
시 405
 
6.1%
역 397
 
6.0%
구 393
 
6.0%
지 349
 
5.3%
번 333
 
5.1%
대 172
 
2.6%
Other values (249) 2661
40.4%
Decimal Number
ValueCountFrequency (%)
1 502
23.0%
2 285
13.1%
0 235
10.8%
4 224
10.3%
6 196
 
9.0%
3 184
 
8.4%
5 184
 
8.4%
7 152
 
7.0%
8 112
 
5.1%
9 106
 
4.9%
Uppercase Letter
ValueCountFrequency (%)
B 8
27.6%
T 4
13.8%
A 4
13.8%
S 2
 
6.9%
N 2
 
6.9%
C 2
 
6.9%
K 2
 
6.9%
G 2
 
6.9%
E 2
 
6.9%
I 1
 
3.4%
Lowercase Letter
ValueCountFrequency (%)
e 1
33.3%
n 1
33.3%
b 1
33.3%
Other Punctuation
ValueCountFrequency (%)
, 3
75.0%
& 1
 
25.0%
Space Separator
ValueCountFrequency (%)
1609
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 288
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 6592
61.5%
Common 4093
38.2%
Latin 32
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 518
 
7.9%
부 486
 
7.4%
동 464
 
7.0%
광 414
 
6.3%
시 405
 
6.1%
역 397
 
6.0%
구 393
 
6.0%
지 349
 
5.3%
번 333
 
5.1%
대 172
 
2.6%
Other values (249) 2661
40.4%
Common
ValueCountFrequency (%)
1609
39.3%
1 502
 
12.3%
- 288
 
7.0%
2 285
 
7.0%
0 235
 
5.7%
4 224
 
5.5%
6 196
 
4.8%
3 184
 
4.5%
5 184
 
4.5%
7 152
 
3.7%
Other values (7) 234
 
5.7%
Latin
ValueCountFrequency (%)
B 8
25.0%
T 4
12.5%
A 4
12.5%
S 2
 
6.2%
N 2
 
6.2%
C 2
 
6.2%
K 2
 
6.2%
G 2
 
6.2%
E 2
 
6.2%
I 1
 
3.1%
Other values (3) 3
 
9.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6592
61.5%
ASCII 4125
38.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1609
39.0%
1 502
 
12.2%
- 288
 
7.0%
2 285
 
6.9%
0 235
 
5.7%
4 224
 
5.4%
6 196
 
4.8%
3 184
 
4.5%
5 184
 
4.5%
7 152
 
3.7%
Other values (20) 266
 
6.4%
Hangul
ValueCountFrequency (%)
산 518
 
7.9%
부 486
 
7.4%
동 464
 
7.0%
광 414
 
6.3%
시 405
 
6.1%
역 397
 
6.0%
구 393
 
6.0%
지 349
 
5.3%
번 333
 
5.1%
대 172
 
2.6%
Other values (249) 2661
40.4%

도로명전체주소
Text

MISSING 

Distinct385
Distinct (%)98.7%
Missing6
Missing (%)1.5%
Memory size3.2 KiB
2024-04-17T12:49:48.743004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length45
Mean length35.082051
Min length21

Characters and Unicode

Total characters13682
Distinct characters336
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

Unique380 ?
Unique (%)97.4%

Sample

1st row부산광역시 중구 광복로97번길 19 (동광동2가,세동빌딩2층)
2nd row부산광역시 중구 대청로 121-1, 101동 1208호 (대청동1가)
3rd row부산광역시 중구 대영로 235, 8층 803호 (영주동)
4th row부산광역시 중구 중앙대로 63 (중앙동3가)
5th row부산광역시 중구 대청로 91-7 (대청동3가,매일빌딩3층)
ValueCountFrequency (%)
부산광역시 390
 
15.2%
해운대구 115
 
4.5%
우동 74
 
2.9%
부산진구 38
 
1.5%
수영구 36
 
1.4%
남구 33
 
1.3%
3층 30
 
1.2%
연제구 28
 
1.1%
센텀동로 26
 
1.0%
재송동 24
 
0.9%
Other values (846) 1769
69.0%
2024-04-17T12:49:49.166423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2231
 
16.3%
산 524
 
3.8%
동 520
 
3.8%
부 490
 
3.6%
1 445
 
3.3%
, 441
 
3.2%
광 425
 
3.1%
시 410
 
3.0%
구 395
 
2.9%
로 394
 
2.9%
Other values (326) 7407
54.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8003
58.5%
Space Separator 2231
 
16.3%
Decimal Number 2139
 
15.6%
Other Punctuation 442
 
3.2%
Close Punctuation 384
 
2.8%
Open Punctuation 384
 
2.8%
Dash Punctuation 47
 
0.3%
Uppercase Letter 45
 
0.3%
Lowercase Letter 4
 
< 0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 524
 
6.5%
동 520
 
6.5%
부 490
 
6.1%
광 425
 
5.3%
시 410
 
5.1%
구 395
 
4.9%
로 394
 
4.9%
역 393
 
4.9%
대 280
 
3.5%
호 226
 
2.8%
Other values (294) 3946
49.3%
Uppercase Letter
ValueCountFrequency (%)
B 8
17.8%
A 7
15.6%
T 6
13.3%
C 5
11.1%
E 5
11.1%
P 3
 
6.7%
K 3
 
6.7%
N 2
 
4.4%
G 2
 
4.4%
S 2
 
4.4%
Other values (2) 2
 
4.4%
Decimal Number
ValueCountFrequency (%)
1 445
20.8%
0 308
14.4%
2 267
12.5%
3 224
10.5%
4 181
8.5%
6 159
 
7.4%
5 158
 
7.4%
7 146
 
6.8%
9 140
 
6.5%
8 111
 
5.2%
Lowercase Letter
ValueCountFrequency (%)
e 2
50.0%
b 1
25.0%
n 1
25.0%
Other Punctuation
ValueCountFrequency (%)
, 441
99.8%
& 1
 
0.2%
Space Separator
ValueCountFrequency (%)
2231
100.0%
Close Punctuation
ValueCountFrequency (%)
) 384
100.0%
Open Punctuation
ValueCountFrequency (%)
( 384
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 47
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8003
58.5%
Common 5630
41.1%
Latin 49
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 524
 
6.5%
동 520
 
6.5%
부 490
 
6.1%
광 425
 
5.3%
시 410
 
5.1%
구 395
 
4.9%
로 394
 
4.9%
역 393
 
4.9%
대 280
 
3.5%
호 226
 
2.8%
Other values (294) 3946
49.3%
Common
ValueCountFrequency (%)
2231
39.6%
1 445
 
7.9%
, 441
 
7.8%
) 384
 
6.8%
( 384
 
6.8%
0 308
 
5.5%
2 267
 
4.7%
3 224
 
4.0%
4 181
 
3.2%
6 159
 
2.8%
Other values (7) 606
 
10.8%
Latin
ValueCountFrequency (%)
B 8
16.3%
A 7
14.3%
T 6
12.2%
C 5
10.2%
E 5
10.2%
P 3
 
6.1%
K 3
 
6.1%
e 2
 
4.1%
N 2
 
4.1%
G 2
 
4.1%
Other values (5) 6
12.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8003
58.5%
ASCII 5679
41.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2231
39.3%
1 445
 
7.8%
, 441
 
7.8%
) 384
 
6.8%
( 384
 
6.8%
0 308
 
5.4%
2 267
 
4.7%
3 224
 
3.9%
4 181
 
3.2%
6 159
 
2.8%
Other values (22) 655
 
11.5%
Hangul
ValueCountFrequency (%)
산 524
 
6.5%
동 520
 
6.5%
부 490
 
6.1%
광 425
 
5.3%
시 410
 
5.1%
구 395
 
4.9%
로 394
 
4.9%
역 393
 
4.9%
대 280
 
3.5%
호 226
 
2.8%
Other values (294) 3946
49.3%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct190
Distinct (%)58.3%
Missing70
Missing (%)17.7%
Infinite0
Infinite (%)0.0%
Mean65186.696
Minimum46010
Maximum616845
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2024-04-17T12:49:49.275988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46010
5-th percentile46228
Q147505.75
median48059
Q348313.75
95-th percentile49328
Maximum616845
Range570835
Interquartile range (IQR)808

Descriptive statistics

Standard deviation97540.544
Coefficient of variation (CV)1.4963259
Kurtosis28.078707
Mean65186.696
Median Absolute Deviation (MAD)413.5
Skewness5.4683946
Sum21250863
Variance9.5141577 × 109
MonotonicityNot monotonic
2024-04-17T12:49:49.373613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48059 43
 
10.9%
48058 37
 
9.3%
48060 8
 
2.0%
48547 6
 
1.5%
47011 4
 
1.0%
47209 4
 
1.0%
48222 4
 
1.0%
48093 3
 
0.8%
48434 3
 
0.8%
47583 3
 
0.8%
Other values (180) 211
53.3%
(Missing) 70
 
17.7%
ValueCountFrequency (%)
46010 1
0.3%
46019 2
0.5%
46021 2
0.5%
46023 2
0.5%
46059 1
0.3%
46072 1
0.3%
46075 1
0.3%
46080 1
0.3%
46201 1
0.3%
46206 1
0.3%
ValueCountFrequency (%)
616845 1
0.3%
616830 1
0.3%
614860 1
0.3%
614843 1
0.3%
612725 1
0.3%
612020 1
0.3%
611840 1
0.3%
608818 1
0.3%
608806 1
0.3%
608743 1
0.3%

사업장명
Text

Distinct389
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2024-04-17T12:49:49.596118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length19
Mean length8.0505051
Min length2

Characters and Unicode

Total characters3188
Distinct characters389
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

Unique382 ?
Unique (%)96.5%

Sample

1st row새미프로덕션
2nd row제이에이치미디어
3rd row초록우주선
4th row(주)엠엘미디어
5th row(주)피케이티
ValueCountFrequency (%)
주식회사 47
 
9.1%
주 8
 
1.6%
커뮤니케이션 4
 
0.8%
media 4
 
0.8%
미디어 3
 
0.6%
프로덕션 3
 
0.6%
주)월드시티 2
 
0.4%
부산 2
 
0.4%
동서대학교 2
 
0.4%
산학협력단 2
 
0.4%
Other values (426) 439
85.1%
2024-04-17T12:49:49.917995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 194
 
6.1%
) 161
 
5.1%
( 161
 
5.1%
120
 
3.8%
이 109
 
3.4%
디 94
 
2.9%
스 92
 
2.9%
사 64
 
2.0%
어 54
 
1.7%
회 53
 
1.7%
Other values (379) 2086
65.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2422
76.0%
Close Punctuation 161
 
5.1%
Open Punctuation 161
 
5.1%
Uppercase Letter 159
 
5.0%
Lowercase Letter 133
 
4.2%
Space Separator 120
 
3.8%
Other Punctuation 8
 
0.3%
Decimal Number 8
 
0.3%
Other Symbol 7
 
0.2%
Dash Punctuation 7
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 194
 
8.0%
이 109
 
4.5%
디 94
 
3.9%
스 92
 
3.8%
사 64
 
2.6%
어 54
 
2.2%
회 53
 
2.2%
식 52
 
2.1%
미 51
 
2.1%
션 49
 
2.0%
Other values (320) 1610
66.5%
Uppercase Letter
ValueCountFrequency (%)
O 16
 
10.1%
A 13
 
8.2%
M 13
 
8.2%
I 11
 
6.9%
J 11
 
6.9%
D 10
 
6.3%
S 10
 
6.3%
E 9
 
5.7%
C 8
 
5.0%
K 8
 
5.0%
Other values (13) 50
31.4%
Lowercase Letter
ValueCountFrequency (%)
e 16
12.0%
n 15
11.3%
o 13
 
9.8%
a 11
 
8.3%
i 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%
Close Punctuation
ValueCountFrequency (%)
) 161
100.0%
Open Punctuation
ValueCountFrequency (%)
( 161
100.0%
Space Separator
ValueCountFrequency (%)
120
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2429
76.2%
Common 467
 
14.6%
Latin 292
 
9.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 194
 
8.0%
이 109
 
4.5%
디 94
 
3.9%
스 92
 
3.8%
사 64
 
2.6%
어 54
 
2.2%
회 53
 
2.2%
식 52
 
2.1%
미 51
 
2.1%
션 49
 
2.0%
Other values (321) 1617
66.6%
Latin
ValueCountFrequency (%)
O 16
 
5.5%
e 16
 
5.5%
n 15
 
5.1%
A 13
 
4.5%
o 13
 
4.5%
M 13
 
4.5%
I 11
 
3.8%
a 11
 
3.8%
i 11
 
3.8%
J 11
 
3.8%
Other values (36) 162
55.5%
Common
ValueCountFrequency (%)
) 161
34.5%
( 161
34.5%
120
25.7%
- 7
 
1.5%
. 6
 
1.3%
1 3
 
0.6%
2 3
 
0.6%
& 2
 
0.4%
< 1
 
0.2%
> 1
 
0.2%
Other values (2) 2
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2422
76.0%
ASCII 759
 
23.8%
None 7
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 194
 
8.0%
이 109
 
4.5%
디 94
 
3.9%
스 92
 
3.8%
사 64
 
2.6%
어 54
 
2.2%
회 53
 
2.2%
식 52
 
2.1%
미 51
 
2.1%
션 49
 
2.0%
Other values (320) 1610
66.5%
ASCII
ValueCountFrequency (%)
) 161
21.2%
( 161
21.2%
120
15.8%
O 16
 
2.1%
e 16
 
2.1%
n 15
 
2.0%
A 13
 
1.7%
o 13
 
1.7%
M 13
 
1.7%
I 11
 
1.4%
Other values (48) 220
29.0%
None
ValueCountFrequency (%)
㈜ 7
100.0%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct396
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0162447 × 1013
Minimum2.0091113 × 1013
Maximum2.0210129 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2024-04-17T12:49:50.031869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0091113 × 1013
5-th percentile2.0091119 × 1013
Q12.0131224 × 1013
median2.0171112 × 1013
Q32.0191054 × 1013
95-th percentile2.0201224 × 1013
Maximum2.0210129 × 1013
Range1.1901603 × 1011
Interquartile range (IQR)5.9829977 × 1010

Descriptive statistics

Standard deviation3.7481484 × 1010
Coefficient of variation (CV)0.001858975
Kurtosis-0.88671949
Mean2.0162447 × 1013
Median Absolute Deviation (MAD)2.9396507 × 1010
Skewness-0.63332081
Sum7.9843289 × 1015
Variance1.4048616 × 1021
MonotonicityNot monotonic
2024-04-17T12:49:50.141829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20100202090726 1
 
0.3%
20190523101812 1
 
0.3%
20190611132018 1
 
0.3%
20190304105422 1
 
0.3%
20210122115405 1
 
0.3%
20170221181208 1
 
0.3%
20131121090504 1
 
0.3%
20160202172802 1
 
0.3%
20131219101300 1
 
0.3%
20111213132604 1
 
0.3%
Other values (386) 386
97.5%
ValueCountFrequency (%)
20091113134726 1
0.3%
20091113142545 1
0.3%
20091113143243 1
0.3%
20091113160002 1
0.3%
20091113160616 1
0.3%
20091113161648 1
0.3%
20091113162717 1
0.3%
20091113162935 1
0.3%
20091113163858 1
0.3%
20091113165245 1
0.3%
ValueCountFrequency (%)
20210129162556 1
0.3%
20210129110036 1
0.3%
20210129105831 1
0.3%
20210127122153 1
0.3%
20210126153739 1
0.3%
20210126105715 1
0.3%
20210125130901 1
0.3%
20210122145135 1
0.3%
20210122115405 1
0.3%
20210121142659 1
0.3%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
I
331 
U
65 

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 331
83.6%
U 65
 
16.4%

Length

2024-04-17T12:49:50.242947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T12:49:50.319562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 331
83.6%
u 65
 
16.4%

데이터갱신일자
Date

Distinct146
Distinct (%)36.9%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
Minimum2018-08-31 23:59:59
Maximum2021-01-31 00:23:03
2024-04-17T12:49:50.410085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T12:49:50.517552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing396
Missing (%)100.0%
Memory size3.6 KiB

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct289
Distinct (%)73.9%
Missing5
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean390043.4
Minimum371436.66
Maximum401955.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2024-04-17T12:49:50.630510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum371436.66
5-th percentile380700.83
Q1387522.39
median390581.48
Q3393589.72
95-th percentile396492.38
Maximum401955.6
Range30518.937
Interquartile range (IQR)6067.3309

Descriptive statistics

Standard deviation4747.0401
Coefficient of variation (CV)0.012170543
Kurtosis0.72861523
Mean390043.4
Median Absolute Deviation (MAD)3024.455
Skewness-0.61143224
Sum1.5250697 × 108
Variance22534390
MonotonicityNot monotonic
2024-04-17T12:49:50.753316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
393573.517296519 13
 
3.3%
394038.562998688 11
 
2.8%
393674.032955782 9
 
2.3%
393527.757337839 8
 
2.0%
393605.930358633 7
 
1.8%
393503.395720953 6
 
1.5%
390581.475369707 5
 
1.3%
393963.840834294 5
 
1.3%
393790.344709358 4
 
1.0%
380700.827195332 3
 
0.8%
Other values (279) 320
80.8%
(Missing) 5
 
1.3%
ValueCountFrequency (%)
371436.66179464 1
0.3%
371867.502458034 1
0.3%
378338.393294752 1
0.3%
378509.419845814 1
0.3%
378825.874128872 1
0.3%
379036.726115948 1
0.3%
379180.841823154 1
0.3%
379278.438594921 1
0.3%
379287.397315288 1
0.3%
379626.0276343 1
0.3%
ValueCountFrequency (%)
401955.599106516 1
0.3%
401727.024238188 1
0.3%
401539.592821636 1
0.3%
401071.52105582 1
0.3%
399621.427009571 1
0.3%
399100.445446232 1
0.3%
399044.865298391 1
0.3%
399016.647007495 1
0.3%
398571.069434432 1
0.3%
398517.165834892 1
0.3%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct289
Distinct (%)73.9%
Missing5
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean187411.66
Minimum174683.07
Maximum205783.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2024-04-17T12:49:50.860677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum174683.07
5-th percentile180023.15
Q1184661.92
median187914.99
Q3188587.92
95-th percentile196854.21
Maximum205783.3
Range31100.231
Interquartile range (IQR)3926.0029

Descriptive statistics

Standard deviation4887.0621
Coefficient of variation (CV)0.026076617
Kurtosis2.2647546
Mean187411.66
Median Absolute Deviation (MAD)2263.7168
Skewness0.90872985
Sum73277959
Variance23883376
MonotonicityNot monotonic
2024-04-17T12:49:50.965746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
188018.687138009 13
 
3.3%
188042.384551855 11
 
2.8%
187973.297243244 9
 
2.3%
188440.756376893 8
 
2.0%
188324.973749177 7
 
1.8%
188279.474831569 6
 
1.5%
181723.441355382 5
 
1.3%
188061.35516256 5
 
1.3%
188235.889521484 4
 
1.0%
189776.290986029 3
 
0.8%
Other values (279) 320
80.8%
(Missing) 5
 
1.3%
ValueCountFrequency (%)
174683.069423816 1
0.3%
176878.908698951 1
0.3%
176954.562659915 1
0.3%
177885.551502853 1
0.3%
178402.652356076 1
0.3%
178476.553591488 1
0.3%
178508.293113873 2
0.5%
178796.08382171 1
0.3%
179408.725624905 1
0.3%
179499.862558123 1
0.3%
ValueCountFrequency (%)
205783.300431754 1
0.3%
205323.471777248 1
0.3%
205152.05176001 1
0.3%
204605.613363097 1
0.3%
204566.648874729 1
0.3%
204553.925900752 1
0.3%
204497.870904435 1
0.3%
201940.124037617 1
0.3%
199822.498546904 1
0.3%
199722.629799 1
0.3%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
비디오물제작업
396 

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 396
100.0%

Length

2024-04-17T12:49:51.065997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T12:49:51.139890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
비디오물제작업 396
100.0%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing396
Missing (%)100.0%
Memory size3.6 KiB

총층수
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)22.4%
Missing329
Missing (%)83.1%
Infinite0
Infinite (%)0.0%
Mean6.5671642
Minimum1
Maximum28
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2024-04-17T12:49:51.208613image/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
2024-04-17T12:49:51.293533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
5 15
 
3.8%
4 11
 
2.8%
3 9
 
2.3%
7 5
 
1.3%
1 4
 
1.0%
15 4
 
1.0%
9 3
 
0.8%
6 3
 
0.8%
2 3
 
0.8%
11 2
 
0.5%
Other values (5) 8
 
2.0%
(Missing) 329
83.1%
ValueCountFrequency (%)
1 4
 
1.0%
2 3
 
0.8%
3 9
2.3%
4 11
2.8%
5 15
3.8%
6 3
 
0.8%
7 5
 
1.3%
8 2
 
0.5%
9 3
 
0.8%
11 2
 
0.5%
ValueCountFrequency (%)
28 1
 
0.3%
20 2
 
0.5%
15 4
1.0%
13 2
 
0.5%
12 1
 
0.3%
11 2
 
0.5%
9 3
0.8%
8 2
 
0.5%
7 5
1.3%
6 3
0.8%

주변환경명
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
<NA>
368 
기타
 
16
주택가주변
 
7
아파트지역
 
2
학교정화(상대)
 
2

Length

Max length8
Median length4
Mean length3.9722222
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 368
92.9%
기타 16
 
4.0%
주택가주변 7
 
1.8%
아파트지역 2
 
0.5%
학교정화(상대) 2
 
0.5%
학교정화(절대) 1
 
0.3%

Length

2024-04-17T12:49:51.390301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T12:49:51.479757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 368
92.9%
기타 16
 
4.0%
주택가주변 7
 
1.8%
아파트지역 2
 
0.5%
학교정화(상대 2
 
0.5%
학교정화(절대 1
 
0.3%

제작취급품목내용
Text

Distinct231
Distinct (%)58.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2024-04-17T12:49:51.659991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length27
Mean length9.6919192
Min length2

Characters and Unicode

Total characters3838
Distinct characters190
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

Unique210 ?
Unique (%)53.0%

Sample

1st row비디오물
2nd row비디오파일, DVD
3rd row방송프로그램,기업 및 관공서 홍보영상
4th row비디오물
5th row비디오물
ValueCountFrequency (%)
비디오물 107
 
13.5%
홍보영상 53
 
6.7%
제작 45
 
5.7%
등 44
 
5.5%
및 41
 
5.2%
영상물 28
 
3.5%
비디오 28
 
3.5%
비디오물제작 21
 
2.6%
광고 19
 
2.4%
영상 19
 
2.4%
Other values (227) 390
49.1%
2024-04-17T12:49:51.983327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
398
 
10.4%
영 300
 
7.8%
상 272
 
7.1%
물 244
 
6.4%
, 205
 
5.3%
디 202
 
5.3%
비 197
 
5.1%
오 195
 
5.1%
제 149
 
3.9%
작 147
 
3.8%
Other values (180) 1529
39.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3040
79.2%
Space Separator 398
 
10.4%
Other Punctuation 216
 
5.6%
Uppercase Letter 120
 
3.1%
Lowercase Letter 20
 
0.5%
Decimal Number 18
 
0.5%
Open Punctuation 11
 
0.3%
Close Punctuation 11
 
0.3%
Dash Punctuation 3
 
0.1%
Control 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 300
 
9.9%
상 272
 
8.9%
물 244
 
8.0%
디 202
 
6.6%
비 197
 
6.5%
오 195
 
6.4%
제 149
 
4.9%
작 147
 
4.8%
보 130
 
4.3%
홍 129
 
4.2%
Other values (137) 1075
35.4%
Uppercase Letter
ValueCountFrequency (%)
D 32
26.7%
V 23
19.2%
C 17
14.2%
T 11
 
9.2%
R 9
 
7.5%
F 8
 
6.7%
I 3
 
2.5%
G 3
 
2.5%
H 3
 
2.5%
U 3
 
2.5%
Other values (7) 8
 
6.7%
Lowercase Letter
ValueCountFrequency (%)
d 3
15.0%
v 3
15.0%
o 3
15.0%
n 2
10.0%
c 2
10.0%
t 2
10.0%
f 1
 
5.0%
e 1
 
5.0%
a 1
 
5.0%
k 1
 
5.0%
Decimal Number
ValueCountFrequency (%)
3 13
72.2%
4 1
 
5.6%
2 1
 
5.6%
7 1
 
5.6%
5 1
 
5.6%
1 1
 
5.6%
Other Punctuation
ValueCountFrequency (%)
, 205
94.9%
/ 9
 
4.2%
. 1
 
0.5%
？ 1
 
0.5%
Space Separator
ValueCountFrequency (%)
398
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3040
79.2%
Common 658
 
17.1%
Latin 140
 
3.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 300
 
9.9%
상 272
 
8.9%
물 244
 
8.0%
디 202
 
6.6%
비 197
 
6.5%
오 195
 
6.4%
제 149
 
4.9%
작 147
 
4.8%
보 130
 
4.3%
홍 129
 
4.2%
Other values (137) 1075
35.4%
Latin
ValueCountFrequency (%)
D 32
22.9%
V 23
16.4%
C 17
12.1%
T 11
 
7.9%
R 9
 
6.4%
F 8
 
5.7%
I 3
 
2.1%
G 3
 
2.1%
H 3
 
2.1%
U 3
 
2.1%
Other values (18) 28
20.0%
Common
ValueCountFrequency (%)
398
60.5%
, 205
31.2%
3 13
 
2.0%
( 11
 
1.7%
) 11
 
1.7%
/ 9
 
1.4%
- 3
 
0.5%
4 1
 
0.2%
2 1
 
0.2%
. 1
 
0.2%
Other values (5) 5
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3040
79.2%
ASCII 797
 
20.8%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
398
49.9%
, 205
25.7%
D 32
 
4.0%
V 23
 
2.9%
C 17
 
2.1%
3 13
 
1.6%
( 11
 
1.4%
T 11
 
1.4%
) 11
 
1.4%
/ 9
 
1.1%
Other values (32) 67
 
8.4%
Hangul
ValueCountFrequency (%)
영 300
 
9.9%
상 272
 
8.9%
물 244
 
8.0%
디 202
 
6.6%
비 197
 
6.5%
오 195
 
6.4%
제 149
 
4.9%
작 147
 
4.8%
보 130
 
4.3%
홍 129
 
4.2%
Other values (137) 1075
35.4%
None
ValueCountFrequency (%)
？ 1
100.0%

시설면적
Real number (ℝ)

MISSING 

Distinct274
Distinct (%)85.1%
Missing74
Missing (%)18.7%
Infinite0
Infinite (%)0.0%
Mean134.09674
Minimum0
Maximum1980
Zeros2
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2024-04-17T12:49:52.098542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile16.5015
Q145.47
median84.05
Q3153.015
95-th percentile416.469
Maximum1980
Range1980
Interquartile range (IQR)107.545

Descriptive statistics

Standard deviation184.10067
Coefficient of variation (CV)1.3728945
Kurtosis37.393576
Mean134.09674
Median Absolute Deviation (MAD)47.72
Skewness5.0541188
Sum43179.15
Variance33893.057
MonotonicityNot monotonic
2024-04-17T12:49:52.221045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33.0 10
 
2.5%
93.24 3
 
0.8%
52.89 3
 
0.8%
20.0 3
 
0.8%
90.0 3
 
0.8%
81.0 3
 
0.8%
30.0 3
 
0.8%
53.91 3
 
0.8%
30.24 2
 
0.5%
470.0 2
 
0.5%
Other values (264) 287
72.5%
(Missing) 74
 
18.7%
ValueCountFrequency (%)
0.0 2
0.5%
1.8 1
0.3%
3.3 2
0.5%
3.5 1
0.3%
4.76 1
0.3%
6.55 1
0.3%
6.6 1
0.3%
8.0 1
0.3%
10.0 2
0.5%
10.12 1
0.3%
ValueCountFrequency (%)
1980.0 1
0.3%
1064.28 2
0.5%
1027.24 1
0.3%
852.13 1
0.3%
806.7 1
0.3%
741.88 1
0.3%
732.0 1
0.3%
521.85 1
0.3%
477.59 1
0.3%
470.0 2
0.5%

지상층수
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)17.0%
Missing296
Missing (%)74.7%
Infinite0
Infinite (%)0.0%
Mean5.9
Minimum1
Maximum24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2024-04-17T12:49:52.573835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.95
Q13
median4
Q37.25
95-th percentile16
Maximum24
Range23
Interquartile range (IQR)4.25

Descriptive statistics

Standard deviation4.5847794
Coefficient of variation (CV)0.77708125
Kurtosis3.0308226
Mean5.9
Median Absolute Deviation (MAD)2
Skewness1.7174562
Sum590
Variance21.020202
MonotonicityNot monotonic
2024-04-17T12:49:52.658759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
3 19
 
4.8%
4 16
 
4.0%
2 13
 
3.3%
5 12
 
3.0%
7 6
 
1.5%
8 5
 
1.3%
1 5
 
1.3%
6 4
 
1.0%
12 4
 
1.0%
13 3
 
0.8%
Other values (7) 13
 
3.3%
(Missing) 296
74.7%
ValueCountFrequency (%)
1 5
 
1.3%
2 13
3.3%
3 19
4.8%
4 16
4.0%
5 12
3.0%
6 4
 
1.0%
7 6
 
1.5%
8 5
 
1.3%
9 2
 
0.5%
10 2
 
0.5%
ValueCountFrequency (%)
24 1
 
0.3%
20 2
 
0.5%
18 1
 
0.3%
16 2
 
0.5%
13 3
0.8%
12 4
1.0%
11 3
0.8%
10 2
 
0.5%
9 2
 
0.5%
8 5
1.3%

지하층수
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
<NA>
350 
1
 
28
0
 
7
2
 
6
3
 
3

Length

Max length4
Median length4
Mean length3.6515152
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> 350
88.4%
1 28
 
7.1%
0 7
 
1.8%
2 6
 
1.5%
3 3
 
0.8%
5 2
 
0.5%

Length

2024-04-17T12:49:52.757046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T12:49:52.849237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 350
88.4%
1 28
 
7.1%
0 7
 
1.8%
2 6
 
1.5%
3 3
 
0.8%
5 2
 
0.5%

건물용도명
Categorical

IMBALANCE 

Distinct9
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
<NA>
351 
근린생활시설
 
22
사무실
 
10
교육연구시설
 
7
기타
 
2
Other values (4)
 
4

Length

Max length15
Median length4
Mean length4.1363636
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> 351
88.6%
근린생활시설 22
 
5.6%
사무실 10
 
2.5%
교육연구시설 7
 
1.8%
기타 2
 
0.5%
아파트 1
 
0.3%
단독주택 1
 
0.3%
다가구용 주택(공동주택적용) 1
 
0.3%
생산시설 1
 
0.3%

Length

2024-04-17T12:49:52.951284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T12:49:53.058534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 351
88.4%
근린생활시설 22
 
5.5%
사무실 10
 
2.5%
교육연구시설 7
 
1.8%
기타 2
 
0.5%
아파트 1
 
0.3%
단독주택 1
 
0.3%
다가구용 1
 
0.3%
주택(공동주택적용 1
 
0.3%
생산시설 1
 
0.3%

통로너비
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing396
Missing (%)100.0%
Memory size3.6 KiB

조명시설조도
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing396
Missing (%)100.0%
Memory size3.6 KiB

노래방실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing396
Missing (%)100.0%
Memory size3.6 KiB

청소년실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing396
Missing (%)100.0%
Memory size3.6 KiB

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing396
Missing (%)100.0%
Memory size3.6 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing396
Missing (%)100.0%
Memory size3.6 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing396
Missing (%)100.0%
Memory size3.6 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing396
Missing (%)100.0%
Memory size3.6 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing396
Missing (%)100.0%
Memory size3.6 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing396
Missing (%)100.0%
Memory size3.6 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing396
Missing (%)100.0%
Memory size3.6 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing396
Missing (%)100.0%
Memory size3.6 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing396
Missing (%)100.0%
Memory size3.6 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing396
Missing (%)100.0%
Memory size3.6 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing396
Missing (%)100.0%
Memory size3.6 KiB

총게임기수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing396
Missing (%)100.0%
Memory size3.6 KiB

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing396
Missing (%)100.0%
Memory size3.6 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing396
Missing (%)100.0%
Memory size3.6 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing396
Missing (%)100.0%
Memory size3.6 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing396
Missing (%)100.0%
Memory size3.6 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing396
Missing (%)100.0%
Memory size3.6 KiB

지역구분명
Categorical

IMBALANCE 

Distinct11
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
<NA>
358 
일반상업지역
 
12
일반주거지역
 
7
자연녹지지역
 
5
준주거지역
 
4
Other values (6)
 
10

Length

Max length6
Median length4
Mean length4.1515152
Min length4

Unique

Unique3 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 358
90.4%
일반상업지역 12
 
3.0%
일반주거지역 7
 
1.8%
자연녹지지역 5
 
1.3%
준주거지역 4
 
1.0%
상업지역 3
 
0.8%
근린상업지역 2
 
0.5%
준공업지역 2
 
0.5%
주거지역 1
 
0.3%
녹지지역 1
 
0.3%

Length

2024-04-17T12:49:53.176117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 358
90.4%
일반상업지역 12
 
3.0%
일반주거지역 7
 
1.8%
자연녹지지역 5
 
1.3%
준주거지역 4
 
1.0%
상업지역 3
 
0.8%
근린상업지역 2
 
0.5%
준공업지역 2
 
0.5%
주거지역 1
 
0.3%
녹지지역 1
 
0.3%

Unnamed: 59
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing396
Missing (%)100.0%
Memory size3.6 KiB

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명Unnamed: 59
01비디오물제작업03_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>
12비디오물제작업03_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>
23비디오물제작업03_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>
34비디오물제작업03_10_05_P3250000CDFF124107200000000220001106<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 중구 중앙동2가 24번지 선박빌딩4층<NA><NA>(주)엠엘미디어20091119163004I2018-08-31 23:59:59.0<NA><NA><NA>비디오물제작업<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>
45비디오물제작업03_10_05_P3250000CDFF124107200400000120040422<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 중구 중앙동3가 부산우체국 12층부산광역시 중구 중앙대로 63 (중앙동3가)48931(주)피케이티20120622102225I2018-08-31 23:59:59.0<NA>385561.650139180152.738082비디오물제작업<NA><NA><NA>비디오물<NA>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>
56비디오물제작업03_10_05_P3250000CDFF124107200600000120061211<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 중구 대청동3가 2번지 매일빌딩3층부산광역시 중구 대청로 91-7 (대청동3가,매일빌딩3층)<NA>데자뷰영상20091119163631I2018-08-31 23:59:59.0<NA>384996.1257180120.721061비디오물제작업<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_P3250000CDFF124107200800000120081002<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 중구 대창동2가 31-2번지 3층부산광역시 중구 중앙대로 143 (대창동2가,3층)<NA>(주)월드시티 네트워크20091119174327I2018-08-31 23:59:59.0<NA>385671.145033180930.113505비디오물제작업<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>
78비디오물제작업03_10_05_P3250000CDFF124107201100000120110725<NA>1영업/정상13영업중<NA><NA><NA><NA>243-8633<NA><NA>부산광역시 중구 부평동1가 14-2번지부산광역시 중구 중구로 47 (부평동1가)<NA>문화영상기획20110725115233I2018-08-31 23:59:59.0<NA>384815.7236179991.718387비디오물제작업<NA><NA><NA>e-book,CD,DVD제작,영상편집,복사,촬영,변환171.57<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_P3250000CDFF124107201300000120130326<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 중구 신창동3가 37-1번지 3층부산광역시 중구 중구로48번길 8-1 (신창동3가)48946뉴끄레망20130326153151I2018-08-31 23:59:59.0<NA>384902.910579179998.834784비디오물제작업<NA>5기타비디오물 제작89.2641근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반상업지역<NA>
910비디오물제작업03_10_05_P3250000CDFF124107201700000220170519<NA>1영업/정상13영업중<NA><NA><NA><NA>0513613373<NA><NA>부산광역시 중구 대청동1가 36-3번지부산광역시 중구 대청로 117, 401호 (대청동1가)48932(주)이담20170519142529I2018-08-31 23:59:59.0<NA>385274.885903180100.806642비디오물제작업<NA><NA><NA>홍보영상,디지털콘텐츠53.3941<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
386387비디오물제작업03_10_05_P3330000CDFF124107202000001920201113<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 우동 1460 센텀 T 타워 1203호부산광역시 해운대구 센텀중앙로 66, 센텀 T 타워 1203호 (우동)48059(주)시네포엠20201113162856I2020-11-15 00:23:30.0<NA>393828.352613188165.148419비디오물제작업<NA><NA><NA>홍보영상 등 비디오물 일체21.0<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>
387388비디오물제작업03_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>
388389비디오물제작업03_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>
389390비디오물제작업03_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>
390391비디오물제작업03_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>
391392비디오물제작업03_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>
392393비디오물제작업03_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>
393394비디오물제작업03_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>
394395비디오물제작업03_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>
395396비디오물제작업03_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>