Overview

Dataset statistics

Number of variables60
Number of observations21
Missing cells774
Missing cells (%)61.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.0 KiB
Average record size in memory534.3 B

Variable types

Numeric8
Categorical10
Text5
Unsupported36
DateTime1

Dataset

Description2021-06-01
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20230901050101123078

Alerts

개방서비스명 has constant value ""Constant
개방서비스id has constant value ""Constant
문화체육업종명 has constant value ""Constant
폐업일자 is highly imbalanced (53.3%)Imbalance
소재지우편번호 is highly imbalanced (59.1%)Imbalance
인허가취소일자 has 21 (100.0%) missing valuesMissing
휴업시작일자 has 21 (100.0%) missing valuesMissing
휴업종료일자 has 21 (100.0%) missing valuesMissing
재개업일자 has 21 (100.0%) missing valuesMissing
소재지전화 has 16 (76.2%) missing valuesMissing
소재지면적 has 21 (100.0%) missing valuesMissing
도로명우편번호 has 2 (9.5%) missing valuesMissing
업태구분명 has 21 (100.0%) missing valuesMissing
문화사업자구분명 has 21 (100.0%) missing valuesMissing
총층수 has 21 (100.0%) missing valuesMissing
주변환경명 has 21 (100.0%) missing valuesMissing
제작취급품목내용 has 21 (100.0%) missing valuesMissing
시설면적 has 21 (100.0%) missing valuesMissing
지상층수 has 21 (100.0%) missing valuesMissing
지하층수 has 21 (100.0%) missing valuesMissing
건물용도명 has 21 (100.0%) missing valuesMissing
통로너비 has 21 (100.0%) missing valuesMissing
조명시설조도 has 21 (100.0%) missing valuesMissing
노래방실수 has 21 (100.0%) missing valuesMissing
청소년실수 has 21 (100.0%) missing valuesMissing
비상계단여부 has 21 (100.0%) missing valuesMissing
비상구여부 has 21 (100.0%) missing valuesMissing
자동환기여부 has 21 (100.0%) missing valuesMissing
청소년실여부 has 21 (100.0%) missing valuesMissing
특수조명여부 has 21 (100.0%) missing valuesMissing
방음시설여부 has 21 (100.0%) missing valuesMissing
비디오재생기명 has 21 (100.0%) missing valuesMissing
조명시설유무 has 21 (100.0%) missing valuesMissing
음향시설여부 has 21 (100.0%) missing valuesMissing
편의시설여부 has 21 (100.0%) missing valuesMissing
소방시설여부 has 21 (100.0%) missing valuesMissing
총게임기수 has 21 (100.0%) missing valuesMissing
기존게임업외업종명 has 21 (100.0%) missing valuesMissing
제공게임물명 has 21 (100.0%) missing valuesMissing
공연장형태구분명 has 21 (100.0%) missing valuesMissing
품목명 has 21 (100.0%) missing valuesMissing
지역구분명 has 21 (100.0%) missing valuesMissing
Unnamed: 59 has 21 (100.0%) missing valuesMissing
번호 has unique valuesUnique
인허가일자 has unique valuesUnique
사업장명 has unique valuesUnique
최종수정시점 has unique valuesUnique
최초등록시점 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
문화사업자구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총층수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
주변환경명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제작취급품목내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
시설면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
지상층수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
지하층수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건물용도명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
통로너비 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설조도 is an unsupported type, check if it needs cleaning or further analysisUnsupported
노래방실수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상계단여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상구여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자동환기여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
특수조명여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방음시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비디오재생기명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
음향시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
편의시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소방시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총게임기수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기존게임업외업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제공게임물명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공연장형태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
품목명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
지역구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 59 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-17 01:56:38.743185
Analysis finished2024-04-17 01:56:39.151299
Duration0.41 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11
Minimum1
Maximum21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-17T10:56:39.198822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q16
median11
Q316
95-th percentile20
Maximum21
Range20
Interquartile range (IQR)10

Descriptive statistics

Standard deviation6.2048368
Coefficient of variation (CV)0.56407607
Kurtosis-1.2
Mean11
Median Absolute Deviation (MAD)5
Skewness0
Sum231
Variance38.5
MonotonicityStrictly increasing
2024-04-17T10:56:39.294472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
1 1
 
4.8%
2 1
 
4.8%
21 1
 
4.8%
20 1
 
4.8%
19 1
 
4.8%
18 1
 
4.8%
17 1
 
4.8%
16 1
 
4.8%
15 1
 
4.8%
14 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
1 1
4.8%
2 1
4.8%
3 1
4.8%
4 1
4.8%
5 1
4.8%
6 1
4.8%
7 1
4.8%
8 1
4.8%
9 1
4.8%
10 1
4.8%
ValueCountFrequency (%)
21 1
4.8%
20 1
4.8%
19 1
4.8%
18 1
4.8%
17 1
4.8%
16 1
4.8%
15 1
4.8%
14 1
4.8%
13 1
4.8%
12 1
4.8%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
영화수입업
21 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영화수입업 21
100.0%

Length

2024-04-17T10:56:39.390638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T10:56:39.463074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화수입업 21
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
03_13_04_P
21 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row03_13_04_P
2nd row03_13_04_P
3rd row03_13_04_P
4th row03_13_04_P
5th row03_13_04_P

Common Values

ValueCountFrequency (%)
03_13_04_P 21
100.0%

Length

2024-04-17T10:56:39.540107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T10:56:39.626563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_13_04_p 21
100.0%

개방자치단체코드
Real number (ℝ)

Distinct6
Distinct (%)28.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3319523.8
Minimum3250000
Maximum3370000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-17T10:56:39.697369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3250000
5-th percentile3270000
Q13310000
median3330000
Q33330000
95-th percentile3330000
Maximum3370000
Range120000
Interquartile range (IQR)20000

Descriptive statistics

Standard deviation25782.977
Coefficient of variation (CV)0.007767071
Kurtosis2.2343737
Mean3319523.8
Median Absolute Deviation (MAD)0
Skewness-1.1801113
Sum69710000
Variance6.647619 × 108
MonotonicityIncreasing
2024-04-17T10:56:39.787264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3330000 14
66.7%
3290000 2
 
9.5%
3310000 2
 
9.5%
3250000 1
 
4.8%
3270000 1
 
4.8%
3370000 1
 
4.8%
ValueCountFrequency (%)
3250000 1
 
4.8%
3270000 1
 
4.8%
3290000 2
 
9.5%
3310000 2
 
9.5%
3330000 14
66.7%
3370000 1
 
4.8%
ValueCountFrequency (%)
3370000 1
 
4.8%
3330000 14
66.7%
3310000 2
 
9.5%
3290000 2
 
9.5%
3270000 1
 
4.8%
3250000 1
 
4.8%

관리번호
Text

Distinct18
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-04-17T10:56:39.937074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters420
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

Unique15 ?
Unique (%)71.4%

Sample

1st rowCDFF5211022013000001
2nd rowCDFF5211022018000001
3rd rowCDFF5211022010000001
4th rowCDFF5211022020000001
5th rowCDFF5211022015000001
ValueCountFrequency (%)
cdff5211022020000001 2
 
9.5%
cdff5211022015000001 2
 
9.5%
cdff5211022018000001 2
 
9.5%
cdff5211022016000001 1
 
4.8%
cdff5211022013000001 1
 
4.8%
cdff5211022014000001 1
 
4.8%
cdff5211022021000001 1
 
4.8%
cdff5211022020000002 1
 
4.8%
cdff5211022018000002 1
 
4.8%
cdff5211022017000003 1
 
4.8%
Other values (8) 8
38.1%
2024-04-17T10:56:40.230947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 152
36.2%
1 76
18.1%
2 69
16.4%
F 42
 
10.0%
5 23
 
5.5%
C 21
 
5.0%
D 21
 
5.0%
8 4
 
1.0%
9 4
 
1.0%
7 3
 
0.7%
Other values (3) 5
 
1.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 336
80.0%
Uppercase Letter 84
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 152
45.2%
1 76
22.6%
2 69
20.5%
5 23
 
6.8%
8 4
 
1.2%
9 4
 
1.2%
7 3
 
0.9%
3 3
 
0.9%
6 1
 
0.3%
4 1
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
F 42
50.0%
C 21
25.0%
D 21
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 336
80.0%
Latin 84
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 152
45.2%
1 76
22.6%
2 69
20.5%
5 23
 
6.8%
8 4
 
1.2%
9 4
 
1.2%
7 3
 
0.9%
3 3
 
0.9%
6 1
 
0.3%
4 1
 
0.3%
Latin
ValueCountFrequency (%)
F 42
50.0%
C 21
25.0%
D 21
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 420
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 152
36.2%
1 76
18.1%
2 69
16.4%
F 42
 
10.0%
5 23
 
5.5%
C 21
 
5.0%
D 21
 
5.0%
8 4
 
1.0%
9 4
 
1.0%
7 3
 
0.7%
Other values (3) 5
 
1.2%

인허가일자
Real number (ℝ)

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20146747
Minimum19990519
Maximum20210202
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-17T10:56:40.341298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19990519
5-th percentile20000217
Q120131101
median20161013
Q320180514
95-th percentile20200304
Maximum20210202
Range219683
Interquartile range (IQR)49413

Descriptive statistics

Standard deviation58071.257
Coefficient of variation (CV)0.0028824136
Kurtosis3.0713334
Mean20146747
Median Absolute Deviation (MAD)20610
Skewness-1.7667199
Sum4.2308168 × 108
Variance3.3722709 × 109
MonotonicityNot monotonic
2024-04-17T10:56:40.448099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
20130909 1
 
4.8%
20181008 1
 
4.8%
20000217 1
 
4.8%
20210202 1
 
4.8%
20200304 1
 
4.8%
20200220 1
 
4.8%
20131101 1
 
4.8%
20160511 1
 
4.8%
20171228 1
 
4.8%
20161013 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
19990519 1
4.8%
20000217 1
4.8%
20100222 1
4.8%
20111205 1
4.8%
20130909 1
4.8%
20131101 1
4.8%
20140403 1
4.8%
20150311 1
4.8%
20150722 1
4.8%
20160511 1
4.8%
ValueCountFrequency (%)
20210202 1
4.8%
20200304 1
4.8%
20200220 1
4.8%
20200103 1
4.8%
20181008 1
4.8%
20180514 1
4.8%
20171228 1
4.8%
20170522 1
4.8%
20170328 1
4.8%
20170119 1
4.8%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

영업상태구분코드
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
1
17 
3
4 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 17
81.0%
3 4
 
19.0%

Length

2024-04-17T10:56:40.540154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T10:56:40.622128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 17
81.0%
3 4
 
19.0%

영업상태명
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
영업/정상
17 
폐업
4 

Length

Max length5
Median length5
Mean length4.4285714
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 17
81.0%
폐업 4
 
19.0%

Length

2024-04-17T10:56:40.741479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T10:56:40.842983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 17
81.0%
폐업 4
 
19.0%

상세영업상태코드
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
13
17 
3
4 

Length

Max length2
Median length2
Mean length1.8095238
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 17
81.0%
3 4
 
19.0%

Length

2024-04-17T10:56:40.931484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T10:56:41.024554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 17
81.0%
3 4
 
19.0%

상세영업상태명
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
영업중
17 
폐업
4 

Length

Max length3
Median length3
Mean length2.8095238
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 17
81.0%
폐업 4
 
19.0%

Length

2024-04-17T10:56:41.125057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T10:56:41.209595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 17
81.0%
폐업 4
 
19.0%

폐업일자
Categorical

IMBALANCE 

Distinct5
Distinct (%)23.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
<NA>
17 
20150327
 
1
20201222
 
1
20200512
 
1
20200119
 
1

Length

Max length8
Median length4
Mean length4.7619048
Min length4

Unique

Unique4 ?
Unique (%)19.0%

Sample

1st row20150327
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 17
81.0%
20150327 1
 
4.8%
20201222 1
 
4.8%
20200512 1
 
4.8%
20200119 1
 
4.8%

Length

2024-04-17T10:56:41.320847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T10:56:41.419840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 17
81.0%
20150327 1
 
4.8%
20201222 1
 
4.8%
20200512 1
 
4.8%
20200119 1
 
4.8%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

소재지전화
Text

MISSING 

Distinct5
Distinct (%)100.0%
Missing16
Missing (%)76.2%
Memory size300.0 B
2024-04-17T10:56:41.536767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.2
Min length8

Characters and Unicode

Total characters56
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row070-8237-7898
2nd row051-468-6707
3rd row868-7070
4th row051-611-4454
5th row07077664451
ValueCountFrequency (%)
070-8237-7898 1
20.0%
051-468-6707 1
20.0%
868-7070 1
20.0%
051-611-4454 1
20.0%
07077664451 1
20.0%
2024-04-17T10:56:41.758878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 10
17.9%
0 9
16.1%
- 7
12.5%
8 6
10.7%
4 6
10.7%
6 6
10.7%
1 5
8.9%
5 4
 
7.1%
2 1
 
1.8%
3 1
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 49
87.5%
Dash Punctuation 7
 
12.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 10
20.4%
0 9
18.4%
8 6
12.2%
4 6
12.2%
6 6
12.2%
1 5
10.2%
5 4
 
8.2%
2 1
 
2.0%
3 1
 
2.0%
9 1
 
2.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 56
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
7 10
17.9%
0 9
16.1%
- 7
12.5%
8 6
10.7%
4 6
10.7%
6 6
10.7%
1 5
8.9%
5 4
 
7.1%
2 1
 
1.8%
3 1
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 56
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 10
17.9%
0 9
16.1%
- 7
12.5%
8 6
10.7%
4 6
10.7%
6 6
10.7%
1 5
8.9%
5 4
 
7.1%
2 1
 
1.8%
3 1
 
1.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

소재지우편번호
Categorical

IMBALANCE 

Distinct4
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
<NA>
18 
614854
 
1
608023
 
1
611839
 
1

Length

Max length6
Median length4
Mean length4.2857143
Min length4

Unique

Unique3 ?
Unique (%)14.3%

Sample

1st row<NA>
2nd row<NA>
3rd row614854
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 18
85.7%
614854 1
 
4.8%
608023 1
 
4.8%
611839 1
 
4.8%

Length

2024-04-17T10:56:41.876507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T10:56:41.970972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 18
85.7%
614854 1
 
4.8%
608023 1
 
4.8%
611839 1
 
4.8%

소재지전체주소
Text

Distinct19
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-04-17T10:56:42.149178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length35
Mean length31.904762
Min length20

Characters and Unicode

Total characters670
Distinct characters100
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)81.0%

Sample

1st row부산광역시 중구 영주동 23-3번지 제일빌딩 8층
2nd row부산광역시 동구 초량동 1201-1번지
3rd row부산광역시 부산진구 양정동 263-4번지
4th row부산광역시 부산진구 부전동 526-16번지 KT&G부산부전지사
5th row부산광역시 남구 용당동 산 100번지 부경대학교 용당캠퍼스 10공학관(청년창업센터) 405호
ValueCountFrequency (%)
부산광역시 21
17.5%
해운대구 14
 
11.7%
우동 12
 
10.0%
영상산업센터 6
 
5.0%
1466-2번지 5
 
4.2%
부산진구 2
 
1.7%
1008호 2
 
1.7%
에이스하이테크21 2
 
1.7%
남구 2
 
1.7%
1003호 2
 
1.7%
Other values (52) 52
43.3%
2024-04-17T10:56:42.463581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
99
 
14.8%
1 36
 
5.4%
산 33
 
4.9%
부 27
 
4.0%
동 23
 
3.4%
시 22
 
3.3%
0 22
 
3.3%
광 21
 
3.1%
역 21
 
3.1%
구 21
 
3.1%
Other values (90) 345
51.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 407
60.7%
Decimal Number 142
 
21.2%
Space Separator 99
 
14.8%
Dash Punctuation 15
 
2.2%
Uppercase Letter 4
 
0.6%
Other Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 33
 
8.1%
부 27
 
6.6%
동 23
 
5.7%
시 22
 
5.4%
광 21
 
5.2%
역 21
 
5.2%
구 21
 
5.2%
지 18
 
4.4%
대 17
 
4.2%
번 17
 
4.2%
Other values (71) 187
45.9%
Decimal Number
ValueCountFrequency (%)
1 36
25.4%
0 22
15.5%
6 20
14.1%
4 19
13.4%
2 17
12.0%
5 8
 
5.6%
3 7
 
4.9%
7 6
 
4.2%
8 6
 
4.2%
9 1
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
A 1
25.0%
K 1
25.0%
T 1
25.0%
G 1
25.0%
Space Separator
ValueCountFrequency (%)
99
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 407
60.7%
Common 259
38.7%
Latin 4
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 33
 
8.1%
부 27
 
6.6%
동 23
 
5.7%
시 22
 
5.4%
광 21
 
5.2%
역 21
 
5.2%
구 21
 
5.2%
지 18
 
4.4%
대 17
 
4.2%
번 17
 
4.2%
Other values (71) 187
45.9%
Common
ValueCountFrequency (%)
99
38.2%
1 36
 
13.9%
0 22
 
8.5%
6 20
 
7.7%
4 19
 
7.3%
2 17
 
6.6%
- 15
 
5.8%
5 8
 
3.1%
3 7
 
2.7%
7 6
 
2.3%
Other values (5) 10
 
3.9%
Latin
ValueCountFrequency (%)
A 1
25.0%
K 1
25.0%
T 1
25.0%
G 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 407
60.7%
ASCII 263
39.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
99
37.6%
1 36
 
13.7%
0 22
 
8.4%
6 20
 
7.6%
4 19
 
7.2%
2 17
 
6.5%
- 15
 
5.7%
5 8
 
3.0%
3 7
 
2.7%
7 6
 
2.3%
Other values (9) 14
 
5.3%
Hangul
ValueCountFrequency (%)
산 33
 
8.1%
부 27
 
6.6%
동 23
 
5.7%
시 22
 
5.4%
광 21
 
5.2%
역 21
 
5.2%
구 21
 
5.2%
지 18
 
4.4%
대 17
 
4.2%
번 17
 
4.2%
Other values (71) 187
45.9%

도로명전체주소
Text

Distinct19
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-04-17T10:56:42.665656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length43
Mean length38.238095
Min length21

Characters and Unicode

Total characters803
Distinct characters121
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)81.0%

Sample

1st row부산광역시 중구 대영로 235 (영주동, 제일빌딩 8층)
2nd row부산광역시 동구 중앙대로214번길 7-8, 아스티오피스텔동 2305호 (초량동)
3rd row부산광역시 부산진구 중앙대로969번길 16 (양정동)
4th row부산광역시 부산진구 부전로 29, KT&G부산부전지사 (부전동)
5th row부산광역시 남구 신선로 365, 405호 (용당동, 부경대학교 용당캠퍼스 10공학관(청년창업센터))
ValueCountFrequency (%)
부산광역시 21
 
14.7%
해운대구 14
 
9.8%
우동 11
 
7.7%
센텀서로 6
 
4.2%
39 6
 
4.2%
영상산업센터 6
 
4.2%
센텀중앙로 3
 
2.1%
48 2
 
1.4%
에이스하이테크21 2
 
1.4%
1411호 2
 
1.4%
Other values (65) 70
49.0%
2024-04-17T10:56:42.991063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
124
 
15.4%
산 33
 
4.1%
부 29
 
3.6%
1 28
 
3.5%
, 25
 
3.1%
동 25
 
3.1%
대 23
 
2.9%
0 22
 
2.7%
( 21
 
2.6%
) 21
 
2.6%
Other values (111) 452
56.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 478
59.5%
Space Separator 124
 
15.4%
Decimal Number 124
 
15.4%
Other Punctuation 26
 
3.2%
Open Punctuation 21
 
2.6%
Close Punctuation 21
 
2.6%
Uppercase Letter 8
 
1.0%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 33
 
6.9%
부 29
 
6.1%
동 25
 
5.2%
대 23
 
4.8%
광 21
 
4.4%
구 21
 
4.4%
역 21
 
4.4%
시 21
 
4.4%
센 20
 
4.2%
로 20
 
4.2%
Other values (88) 244
51.0%
Decimal Number
ValueCountFrequency (%)
1 28
22.6%
0 22
17.7%
3 13
10.5%
9 13
10.5%
2 12
9.7%
4 9
 
7.3%
8 8
 
6.5%
5 7
 
5.6%
7 7
 
5.6%
6 5
 
4.0%
Uppercase Letter
ValueCountFrequency (%)
A 2
25.0%
C 1
12.5%
E 1
12.5%
P 1
12.5%
K 1
12.5%
T 1
12.5%
G 1
12.5%
Other Punctuation
ValueCountFrequency (%)
, 25
96.2%
& 1
 
3.8%
Space Separator
ValueCountFrequency (%)
124
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 478
59.5%
Common 317
39.5%
Latin 8
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 33
 
6.9%
부 29
 
6.1%
동 25
 
5.2%
대 23
 
4.8%
광 21
 
4.4%
구 21
 
4.4%
역 21
 
4.4%
시 21
 
4.4%
센 20
 
4.2%
로 20
 
4.2%
Other values (88) 244
51.0%
Common
ValueCountFrequency (%)
124
39.1%
1 28
 
8.8%
, 25
 
7.9%
0 22
 
6.9%
( 21
 
6.6%
) 21
 
6.6%
3 13
 
4.1%
9 13
 
4.1%
2 12
 
3.8%
4 9
 
2.8%
Other values (6) 29
 
9.1%
Latin
ValueCountFrequency (%)
A 2
25.0%
C 1
12.5%
E 1
12.5%
P 1
12.5%
K 1
12.5%
T 1
12.5%
G 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 478
59.5%
ASCII 325
40.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
124
38.2%
1 28
 
8.6%
, 25
 
7.7%
0 22
 
6.8%
( 21
 
6.5%
) 21
 
6.5%
3 13
 
4.0%
9 13
 
4.0%
2 12
 
3.7%
4 9
 
2.8%
Other values (13) 37
 
11.4%
Hangul
ValueCountFrequency (%)
산 33
 
6.9%
부 29
 
6.1%
동 25
 
5.2%
대 23
 
4.8%
광 21
 
4.4%
구 21
 
4.4%
역 21
 
4.4%
시 21
 
4.4%
센 20
 
4.2%
로 20
 
4.2%
Other values (88) 244
51.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)52.6%
Missing2
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean195894.68
Minimum47290
Maximum614854
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-17T10:56:43.091078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum47290
5-th percentile47981.2
Q148058
median48059
Q3324772
95-th percentile613049.5
Maximum614854
Range567564
Interquartile range (IQR)276714

Descriptive statistics

Standard deviation254181.04
Coefficient of variation (CV)1.2975393
Kurtosis-0.7167787
Mean195894.68
Median Absolute Deviation (MAD)1
Skewness1.1705755
Sum3721999
Variance6.4608003 × 1010
MonotonicityNot monotonic
2024-04-17T10:56:43.171957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
48058 8
38.1%
48059 3
 
14.3%
600811 1
 
4.8%
48733 1
 
4.8%
614854 1
 
4.8%
47290 1
 
4.8%
608739 1
 
4.8%
612022 1
 
4.8%
612849 1
 
4.8%
48060 1
 
4.8%
(Missing) 2
 
9.5%
ValueCountFrequency (%)
47290 1
 
4.8%
48058 8
38.1%
48059 3
 
14.3%
48060 1
 
4.8%
48733 1
 
4.8%
600811 1
 
4.8%
608739 1
 
4.8%
612022 1
 
4.8%
612849 1
 
4.8%
614854 1
 
4.8%
ValueCountFrequency (%)
614854 1
 
4.8%
612849 1
 
4.8%
612022 1
 
4.8%
608739 1
 
4.8%
600811 1
 
4.8%
48733 1
 
4.8%
48060 1
 
4.8%
48059 3
 
14.3%
48058 8
38.1%
47290 1
 
4.8%

사업장명
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-04-17T10:56:43.315906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length14
Mean length11.428571
Min length4

Characters and Unicode

Total characters240
Distinct characters102
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)100.0%

Sample

1st row주식회사 씨탑(CTOP)
2nd row주식회사 브이알시네(VR CINE)
3rd row(주)새한전시
4th row주식회사 플랜비코리아
5th row씬앤 C&C
ValueCountFrequency (%)
주식회사 8
22.9%
퍼니콘(funnycon 2
 
5.7%
재)영화의전당 1
 
2.9%
ltd 1
 
2.9%
co 1
 
2.9%
주)아트지징 1
 
2.9%
주)단단커뮤니케이션 1
 
2.9%
주)씨에이씨엔터테인먼트 1
 
2.9%
씨앤더블유커뮤니케이션 1
 
2.9%
팩토리엔 1
 
2.9%
Other values (17) 17
48.6%
2024-04-17T10:56:43.571021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 14
 
5.8%
14
 
5.8%
) 12
 
5.0%
( 12
 
5.0%
사 9
 
3.8%
회 8
 
3.3%
식 8
 
3.3%
C 7
 
2.9%
N 7
 
2.9%
영 5
 
2.1%
Other values (92) 144
60.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 157
65.4%
Uppercase Letter 30
 
12.5%
Space Separator 14
 
5.8%
Close Punctuation 12
 
5.0%
Open Punctuation 12
 
5.0%
Lowercase Letter 11
 
4.6%
Other Punctuation 4
 
1.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 14
 
8.9%
사 9
 
5.7%
회 8
 
5.1%
식 8
 
5.1%
영 5
 
3.2%
씨 5
 
3.2%
이 5
 
3.2%
화 5
 
3.2%
아 4
 
2.5%
트 4
 
2.5%
Other values (65) 90
57.3%
Uppercase Letter
ValueCountFrequency (%)
C 7
23.3%
N 7
23.3%
O 3
10.0%
F 2
 
6.7%
U 2
 
6.7%
Y 2
 
6.7%
L 1
 
3.3%
I 1
 
3.3%
E 1
 
3.3%
R 1
 
3.3%
Other values (3) 3
10.0%
Lowercase Letter
ValueCountFrequency (%)
d 2
18.2%
o 2
18.2%
i 2
18.2%
t 1
9.1%
m 1
9.1%
z 1
9.1%
e 1
9.1%
a 1
9.1%
Other Punctuation
ValueCountFrequency (%)
. 2
50.0%
, 1
25.0%
& 1
25.0%
Space Separator
ValueCountFrequency (%)
14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 157
65.4%
Common 42
 
17.5%
Latin 41
 
17.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 14
 
8.9%
사 9
 
5.7%
회 8
 
5.1%
식 8
 
5.1%
영 5
 
3.2%
씨 5
 
3.2%
이 5
 
3.2%
화 5
 
3.2%
아 4
 
2.5%
트 4
 
2.5%
Other values (65) 90
57.3%
Latin
ValueCountFrequency (%)
C 7
17.1%
N 7
17.1%
O 3
 
7.3%
d 2
 
4.9%
o 2
 
4.9%
i 2
 
4.9%
F 2
 
4.9%
U 2
 
4.9%
Y 2
 
4.9%
t 1
 
2.4%
Other values (11) 11
26.8%
Common
ValueCountFrequency (%)
14
33.3%
) 12
28.6%
( 12
28.6%
. 2
 
4.8%
, 1
 
2.4%
& 1
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 157
65.4%
ASCII 83
34.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 14
 
8.9%
사 9
 
5.7%
회 8
 
5.1%
식 8
 
5.1%
영 5
 
3.2%
씨 5
 
3.2%
이 5
 
3.2%
화 5
 
3.2%
아 4
 
2.5%
트 4
 
2.5%
Other values (65) 90
57.3%
ASCII
ValueCountFrequency (%)
14
16.9%
) 12
14.5%
( 12
14.5%
C 7
 
8.4%
N 7
 
8.4%
O 3
 
3.6%
d 2
 
2.4%
o 2
 
2.4%
i 2
 
2.4%
F 2
 
2.4%
Other values (17) 20
24.1%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0174448 × 1013
Minimum2.0100713 × 1013
Maximum2.0210304 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-17T10:56:43.682645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0100713 × 1013
5-th percentile2.0100723 × 1013
Q12.0150722 × 1013
median2.0181211 × 1013
Q32.0200304 × 1013
95-th percentile2.0210202 × 1013
Maximum2.0210304 × 1013
Range1.0959097 × 1011
Interquartile range (IQR)4.9581925 × 1010

Descriptive statistics

Standard deviation3.3632382 × 1010
Coefficient of variation (CV)0.0016670781
Kurtosis0.43190343
Mean2.0174448 × 1013
Median Absolute Deviation (MAD)1.9301029 × 1010
Skewness-1.1552608
Sum4.2366341 × 1014
Variance1.1311371 × 1021
MonotonicityNot monotonic
2024-04-17T10:56:43.781983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
20150331093754 1
 
4.8%
20181008160116 1
 
4.8%
20100723164838 1
 
4.8%
20210202122805 1
 
4.8%
20200304105410 1
 
4.8%
20210304132737 1
 
4.8%
20180430095157 1
 
4.8%
20180817145121 1
 
4.8%
20171228151346 1
 
4.8%
20181211151337 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
20100713163356 1
4.8%
20100723164838 1
4.8%
20120607133845 1
4.8%
20150311095004 1
4.8%
20150331093754 1
4.8%
20150722180838 1
4.8%
20171228151346 1
4.8%
20180430095157 1
4.8%
20180817145121 1
4.8%
20181008160116 1
4.8%
ValueCountFrequency (%)
20210304132737 1
4.8%
20210202122805 1
4.8%
20201222160233 1
4.8%
20200907011924 1
4.8%
20200512180207 1
4.8%
20200304105410 1
4.8%
20200225175638 1
4.8%
20200103170215 1
4.8%
20190318172631 1
4.8%
20181212164602 1
4.8%

데이터갱신구분
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
I
14 
U
7 

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 14
66.7%
U 7
33.3%

Length

2024-04-17T10:56:43.875888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T10:56:43.956454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 14
66.7%
u 7
33.3%

데이터갱신일자
Date

Distinct13
Distinct (%)61.9%
Missing0
Missing (%)0.0%
Memory size300.0 B
Minimum2018-08-31 23:59:59
Maximum2021-03-06 02:40:00
2024-04-17T10:56:44.029694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T10:56:44.122051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

좌표정보(x)
Real number (ℝ)

Distinct15
Distinct (%)71.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean392221.85
Minimum385585.32
Maximum398755.46
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-17T10:56:44.222025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum385585.32
5-th percentile386084.25
Q1390774.85
median393674.03
Q3393756.88
95-th percentile394038.56
Maximum398755.46
Range13170.137
Interquartile range (IQR)2982.0283

Descriptive statistics

Standard deviation3178.8551
Coefficient of variation (CV)0.0081047374
Kurtosis0.49546753
Mean392221.85
Median Absolute Deviation (MAD)289.80788
Skewness-0.65808868
Sum8236658.9
Variance10105120
MonotonicityNot monotonic
2024-04-17T10:56:44.318581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
393674.032955782 6
28.6%
393963.840834294 2
 
9.5%
385585.321891141 1
 
4.8%
386084.250830287 1
 
4.8%
388767.109253693 1
 
4.8%
387280.619672939 1
 
4.8%
390774.849528 1
 
4.8%
391096.02717753 1
 
4.8%
393790.344709358 1
 
4.8%
393724.655115205 1
 
4.8%
Other values (5) 5
23.8%
ValueCountFrequency (%)
385585.321891141 1
 
4.8%
386084.250830287 1
 
4.8%
387280.619672939 1
 
4.8%
388767.109253693 1
 
4.8%
389529.517654144 1
 
4.8%
390774.849528 1
 
4.8%
391096.02717753 1
 
4.8%
393503.395720953 1
 
4.8%
393674.032955782 6
28.6%
393724.655115205 1
 
4.8%
ValueCountFrequency (%)
398755.458968199 1
 
4.8%
394038.562998688 1
 
4.8%
393963.840834294 2
 
9.5%
393790.344709358 1
 
4.8%
393756.877790555 1
 
4.8%
393724.655115205 1
 
4.8%
393674.032955782 6
28.6%
393503.395720953 1
 
4.8%
391096.02717753 1
 
4.8%
390774.849528 1
 
4.8%

좌표정보(y)
Real number (ℝ)

Distinct15
Distinct (%)71.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean186830.57
Minimum181149.77
Maximum189324.73
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-17T10:56:44.413780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum181149.77
5-th percentile181613.91
Q1186753.64
median187973.3
Q3188061.36
95-th percentile188336.06
Maximum189324.73
Range8174.9651
Interquartile range (IQR)1307.7117

Descriptive statistics

Standard deviation2426.3696
Coefficient of variation (CV)0.012987005
Kurtosis1.0935446
Mean186830.57
Median Absolute Deviation (MAD)125.94846
Skewness-1.5661093
Sum3923441.9
Variance5887269.2
MonotonicityNot monotonic
2024-04-17T10:56:44.508325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
187973.297243244 6
28.6%
188061.35516256 2
 
9.5%
181149.765235809 1
 
4.8%
181613.908816635 1
 
4.8%
188336.060943756 1
 
4.8%
185679.050795793 1
 
4.8%
182281.089746 1
 
4.8%
183868.728564762 1
 
4.8%
188235.889521484 1
 
4.8%
187847.348782974 1
 
4.8%
Other values (5) 5
23.8%
ValueCountFrequency (%)
181149.765235809 1
 
4.8%
181613.908816635 1
 
4.8%
182281.089746 1
 
4.8%
183868.728564762 1
 
4.8%
185679.050795793 1
 
4.8%
186753.643413879 1
 
4.8%
187847.348782974 1
 
4.8%
187973.297243244 6
28.6%
188042.384551855 1
 
4.8%
188061.35516256 2
 
9.5%
ValueCountFrequency (%)
189324.730324163 1
 
4.8%
188336.060943756 1
 
4.8%
188279.474831569 1
 
4.8%
188235.889521484 1
 
4.8%
188067.323834992 1
 
4.8%
188061.35516256 2
 
9.5%
188042.384551855 1
 
4.8%
187973.297243244 6
28.6%
187847.348782974 1
 
4.8%
186753.643413879 1
 
4.8%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
영화수입업
21 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영화수입업 21
100.0%

Length

2024-04-17T10:56:44.608409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T10:56:44.683994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화수입업 21
100.0%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

총층수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

시설면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

지상층수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

지하층수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

통로너비
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

조명시설조도
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

노래방실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

청소년실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

총게임기수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

최초등록시점
Real number (ℝ)

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20146747
Minimum19990519
Maximum20210202
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-17T10:56:44.776349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19990519
5-th percentile20000217
Q120131101
median20161013
Q320180514
95-th percentile20200304
Maximum20210202
Range219683
Interquartile range (IQR)49413

Descriptive statistics

Standard deviation58071.257
Coefficient of variation (CV)0.0028824136
Kurtosis3.0713334
Mean20146747
Median Absolute Deviation (MAD)20610
Skewness-1.7667199
Sum4.2308168 × 108
Variance3.3722709 × 109
MonotonicityNot monotonic
2024-04-17T10:56:44.867209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
20130909 1
 
4.8%
20181008 1
 
4.8%
20000217 1
 
4.8%
20210202 1
 
4.8%
20200304 1
 
4.8%
20200220 1
 
4.8%
20131101 1
 
4.8%
20160511 1
 
4.8%
20171228 1
 
4.8%
20161013 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
19990519 1
4.8%
20000217 1
4.8%
20100222 1
4.8%
20111205 1
4.8%
20130909 1
4.8%
20131101 1
4.8%
20140403 1
4.8%
20150311 1
4.8%
20150722 1
4.8%
20160511 1
4.8%
ValueCountFrequency (%)
20210202 1
4.8%
20200304 1
4.8%
20200220 1
4.8%
20200103 1
4.8%
20181008 1
4.8%
20180514 1
4.8%
20171228 1
4.8%
20170522 1
4.8%
20170328 1
4.8%
20170119 1
4.8%

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

Unnamed: 59
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명Unnamed: 59
01영화수입업03_13_04_P3250000CDFF521102201300000120130909<NA>3폐업3폐업20150327<NA><NA><NA>070-8237-7898<NA><NA>부산광역시 중구 영주동 23-3번지 제일빌딩 8층부산광역시 중구 대영로 235 (영주동, 제일빌딩 8층)600811주식회사 씨탑(CTOP)20150331093754I2018-08-31 23:59:59.0<NA>385585.321891181149.765236영화수입업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20130909<NA><NA>
12영화수입업03_13_04_P3270000CDFF521102201800000120181008<NA>1영업/정상13영업중<NA><NA><NA><NA>051-468-6707<NA><NA>부산광역시 동구 초량동 1201-1번지부산광역시 동구 중앙대로214번길 7-8, 아스티오피스텔동 2305호 (초량동)48733주식회사 브이알시네(VR CINE)20181008160116I2018-10-10 02:36:12.0<NA>386084.25083181613.908817영화수입업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20181008<NA><NA>
23영화수입업03_13_04_P3290000CDFF521102201000000120100222<NA>1영업/정상13영업중<NA><NA><NA><NA>868-7070<NA>614854부산광역시 부산진구 양정동 263-4번지부산광역시 부산진구 중앙대로969번길 16 (양정동)614854(주)새한전시20120607133845I2018-08-31 23:59:59.0<NA>388767.109254188336.060944영화수입업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20100222<NA><NA>
34영화수입업03_13_04_P3290000CDFF521102202000000120200103<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 부산진구 부전동 526-16번지 KT&G부산부전지사부산광역시 부산진구 부전로 29, KT&G부산부전지사 (부전동)47290주식회사 플랜비코리아20200103170215I2020-01-05 00:23:25.0<NA>387280.619673185679.050796영화수입업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20200103<NA><NA>
45영화수입업03_13_04_P3310000CDFF521102201500000120150311<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 남구 용당동 산 100번지 부경대학교 용당캠퍼스 10공학관(청년창업센터) 405호부산광역시 남구 신선로 365, 405호 (용당동, 부경대학교 용당캠퍼스 10공학관(청년창업센터))608739씬앤 C&C20150311095004I2018-08-31 23:59:59.0<NA>390774.849528182281.089746영화수입업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20150311<NA><NA>
56영화수입업03_13_04_P3310000CDFF521102199900000119990519<NA>1영업/정상13영업중<NA><NA><NA><NA>051-611-4454<NA>608023부산광역시 남구 대연동 76-5번지 현대오피스텔 610호부산광역시 남구 수영로 282, 610호 (대연동,현대오피스텔)<NA>(주)시드20100713163356I2018-08-31 23:59:59.0<NA>391096.027178183868.728565영화수입업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>19990519<NA><NA>
67영화수입업03_13_04_P3330000CDFF521102201700000120170328<NA>3폐업3폐업20201222<NA><NA><NA><NA><NA><NA>부산광역시 해운대구 우동 1470 에이스하이테크21 1411호부산광역시 해운대구 센텀중앙로 48, 1411호 (우동, 에이스하이테크21)48059주식회사 스카이스트20201222160233U2020-12-24 02:40:00.0<NA>393963.840834188061.355163영화수입업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20170328<NA><NA>
78영화수입업03_13_04_P3330000CDFF521102201700000220170522<NA>3폐업3폐업20200512<NA><NA><NA><NA><NA><NA>부산광역시 해운대구 우동 1454번지 벽산이센텀클래스원2차 1109호부산광역시 해운대구 센텀동로 71, 1109호 (우동, 벽산이센텀클래스원2차)48059영화배급협동조합 씨네소파20200512180207U2020-05-14 02:40:00.0<NA>393790.344709188235.889521영화수입업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20170522<NA><NA>
89영화수입업03_13_04_P3330000CDFF521102201800000320180514<NA>3폐업3폐업20200119<NA><NA><NA><NA><NA><NA>부산광역시 해운대구 우동 1466-2번지 영상산업센터 1003호부산광역시 해운대구 센텀서로 39, 영상산업센터 1003호 (우동)48058아트지징20200225175638U2020-02-27 02:40:00.0<NA>393674.032956187973.297243영화수입업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20180514<NA><NA>
910영화수입업03_13_04_P3330000CDFF521102201900000120170119<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 우동 1466-2번지 영상산업센터부산광역시 해운대구 센텀서로 39, 영상산업센터 904호 (우동)48058(주)영화맞춤제작소영화공장20190318172631I2019-03-20 02:21:55.0<NA>393674.032956187973.297243영화수입업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20170119<NA><NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명Unnamed: 59
1112영화수입업03_13_04_P3330000CDFF521102201400000120140403<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 우동 1466-2번지 영상산업센터 1008호부산광역시 해운대구 센텀서로 39, 영상산업센터 1008호 (우동)48058퍼니콘(FUNNYCON)20181212164602U2018-12-14 02:40:00.0<NA>393756.877791188067.323835영화수입업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20140403<NA><NA>
1213영화수입업03_13_04_P3330000CDFF521102201500000120150722<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 중동 1486-6번지 송림빌라 A동 401호부산광역시 해운대구 달맞이길117번나길 75, A동 401호 (중동, 송림빌라)612849지오미디어(zio media)20150722180838I2018-08-31 23:59:59.0<NA>398755.458968186753.643414영화수입업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20150722<NA><NA>
1314영화수입업03_13_04_P3330000CDFF521102201600000120161013<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 우동 1475번지부산광역시 해운대구 수영강변대로 140, 5층 (우동, 부산문화콘텐츠컴플렉스)48058주식회사 라라아비스20181211151337U2018-12-13 02:40:00.0<NA>394038.562999188042.384552영화수입업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20161013<NA><NA>
1415영화수입업03_13_04_P3330000CDFF521102201700000320171228<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 우동 1470번지 에이스하이테크21부산광역시 해운대구 센텀중앙로 48, 에이스하이테크21 1411호 (우동)48059주식회사 팩토리엔20171228151346I2018-08-31 23:59:59.0<NA>393963.840834188061.355163영화수입업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20171228<NA><NA>
1516영화수입업03_13_04_P3330000CDFF521102201800000120160511<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 재송동 1208-2번지 센텀스카이비즈 3205호부산광역시 해운대구 센텀중앙로 97, 센텀스카이비즈 제에이동 3205호 (재송동)48058주식회사 씨앤더블유커뮤니케이션20180817145121I2018-08-31 23:59:59.0<NA>393503.395721188279.474832영화수입업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20160511<NA><NA>
1617영화수입업03_13_04_P3330000CDFF521102201800000220131101<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 우동 1466-2번지 영상산업센터부산광역시 해운대구 센텀서로 39, 영상산업센터 1007호 (우동)48058(주)씨에이씨엔터테인먼트20180430095157I2018-08-31 23:59:59.0<NA>393674.032956187973.297243영화수입업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20131101<NA><NA>
1718영화수입업03_13_04_P3330000CDFF521102202000000120200220<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 우동 1514 센텀리더스마크 2108호부산광역시 해운대구 APEC로 17, 센텀리더스마크 2108호 (우동)48060(주)단단커뮤니케이션20210304132737U2021-03-06 02:40:00.0<NA>393674.032956187973.297243영화수입업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20200220<NA><NA>
1819영화수입업03_13_04_P3330000CDFF521102202000000220200304<NA>1영업/정상13영업중<NA><NA><NA><NA>07077664451<NA><NA>부산광역시 해운대구 우동 1466-2번지 영상산업센터 1003호부산광역시 해운대구 센텀서로 39, 영상산업센터 1003호 (우동)48058(주)아트지징20200304105410I2020-03-06 00:23:23.0<NA>393674.032956187973.297243영화수입업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20200304<NA><NA>
1920영화수입업03_13_04_P3330000CDFF521102202100000120210202<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 우동 1466-2 영상산업센터 1008호부산광역시 해운대구 센텀서로 39, 영상산업센터 1008호 (우동)48058주식회사 퍼니콘(FUNNYCON Co., Ltd.)20210202122805I2021-02-04 00:23:03.0<NA>393674.032956187973.297243영화수입업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20210202<NA><NA>
2021영화수입업03_13_04_P3370000CDFF521102200000000120000217<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>611839부산광역시 연제구 연산동 701-4번지 서울은행 3층부산광역시 연제구 중앙대로 1096 (연산동,서울은행 3층)<NA>황금우물영화사20100723164838I2018-08-31 23:59:59.0<NA>389529.517654189324.730324영화수입업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20000217<NA><NA>