Overview

Dataset statistics

Number of variables60
Number of observations21
Missing cells740
Missing cells (%)58.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.9 KiB
Average record size in memory530.3 B

Variable types

Numeric9
Categorical11
Text9
Unsupported30
DateTime1

Dataset

Description2021-05-01
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20230901050101123060

Alerts

개방서비스명 has constant value ""Constant
개방서비스id has constant value ""Constant
문화체육업종명 has constant value ""Constant
건물용도명 has constant value ""Constant
데이터갱신구분 is highly imbalanced (54.6%)Imbalance
지상층수 is highly imbalanced (53.3%)Imbalance
지하층수 is highly imbalanced (54.4%)Imbalance
인허가취소일자 has 21 (100.0%) missing valuesMissing
폐업일자 has 14 (66.7%) 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 15 (71.4%) missing valuesMissing
소재지면적 has 21 (100.0%) missing valuesMissing
소재지우편번호 has 21 (100.0%) missing valuesMissing
도로명전체주소 has 2 (9.5%) missing valuesMissing
도로명우편번호 has 9 (42.9%) missing valuesMissing
업태구분명 has 21 (100.0%) missing valuesMissing
좌표정보(x) has 2 (9.5%) missing valuesMissing
좌표정보(y) has 2 (9.5%) missing valuesMissing
문화사업자구분명 has 21 (100.0%) missing valuesMissing
주변환경명 has 19 (90.5%) missing valuesMissing
시설면적 has 9 (42.9%) missing valuesMissing
건물용도명 has 20 (95.2%) 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
최초등록시점 has 21 (100.0%) missing valuesMissing
지역구분명 has 18 (85.7%) missing valuesMissing
Unnamed: 59 has 21 (100.0%) missing valuesMissing
번호 has unique valuesUnique
인허가일자 has unique valuesUnique
소재지전체주소 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 04:46:33.318173
Analysis finished2024-04-17 04:46:33.825495
Duration0.51 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
2024-04-17T13:46:33.874842image/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
2024-04-17T13:46:33.985100image/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
비디오물배급업
21 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
비디오물배급업 21
100.0%

Length

2024-04-17T13:46:34.122613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T13:46:34.202740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
비디오물배급업 21
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
03_10_02_P
21 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row03_10_02_P
2nd row03_10_02_P
3rd row03_10_02_P
4th row03_10_02_P
5th row03_10_02_P

Common Values

ValueCountFrequency (%)
03_10_02_P 21
100.0%

Length

2024-04-17T13:46:34.287631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T13:46:34.379809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_10_02_p 21
100.0%

개방자치단체코드
Real number (ℝ)

Distinct9
Distinct (%)42.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3329047.6
Minimum3270000
Maximum3380000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-17T13:46:34.459059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3270000
5-th percentile3290000
Q13310000
median3330000
Q33340000
95-th percentile3380000
Maximum3380000
Range110000
Interquartile range (IQR)30000

Descriptive statistics

Standard deviation30315.798
Coefficient of variation (CV)0.0091064477
Kurtosis-0.36713525
Mean3329047.6
Median Absolute Deviation (MAD)20000
Skewness-0.0068724793
Sum69910000
Variance9.1904762 × 108
MonotonicityNot monotonic
2024-04-17T13:46:34.554403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
3330000 9
42.9%
3290000 3
 
14.3%
3380000 2
 
9.5%
3370000 2
 
9.5%
3350000 1
 
4.8%
3340000 1
 
4.8%
3310000 1
 
4.8%
3300000 1
 
4.8%
3270000 1
 
4.8%
ValueCountFrequency (%)
3270000 1
 
4.8%
3290000 3
 
14.3%
3300000 1
 
4.8%
3310000 1
 
4.8%
3330000 9
42.9%
3340000 1
 
4.8%
3350000 1
 
4.8%
3370000 2
 
9.5%
3380000 2
 
9.5%
ValueCountFrequency (%)
3380000 2
 
9.5%
3370000 2
 
9.5%
3350000 1
 
4.8%
3340000 1
 
4.8%
3330000 9
42.9%
3310000 1
 
4.8%
3300000 1
 
4.8%
3290000 3
 
14.3%
3270000 1
 
4.8%

관리번호
Text

Distinct16
Distinct (%)76.2%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-04-17T13:46:34.713758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters420
Distinct characters12
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

Unique12 ?
Unique (%)57.1%

Sample

1st rowCDFF1241111999000001
2nd rowCDFF1241112005000001
3rd rowCDFF1241112020000001
4th rowCDFF1241112012000001
5th rowCDFF1241112021000001
ValueCountFrequency (%)
cdff1241112000000001 3
14.3%
cdff1241111999000001 2
 
9.5%
cdff1241112012000001 2
 
9.5%
cdff1241112021000001 2
 
9.5%
cdff1241112005000001 1
 
4.8%
cdff1241112020000001 1
 
4.8%
cdff1241112018000001 1
 
4.8%
cdff1241112017000001 1
 
4.8%
cdff1241112013000001 1
 
4.8%
cdff1241112009000001 1
 
4.8%
Other values (6) 6
28.6%
2024-04-17T13:46:35.020001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 136
32.4%
1 117
27.9%
2 46
 
11.0%
F 42
 
10.0%
4 23
 
5.5%
C 21
 
5.0%
D 21
 
5.0%
9 7
 
1.7%
5 2
 
0.5%
8 2
 
0.5%
Other values (2) 3
 
0.7%

Most occurring categories

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

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 136
40.5%
1 117
34.8%
2 46
 
13.7%
4 23
 
6.8%
9 7
 
2.1%
5 2
 
0.6%
8 2
 
0.6%
3 2
 
0.6%
7 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 (%)
0 136
40.5%
1 117
34.8%
2 46
 
13.7%
4 23
 
6.8%
9 7
 
2.1%
5 2
 
0.6%
8 2
 
0.6%
3 2
 
0.6%
7 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 (%)
0 136
32.4%
1 117
27.9%
2 46
 
11.0%
F 42
 
10.0%
4 23
 
5.5%
C 21
 
5.0%
D 21
 
5.0%
9 7
 
1.7%
5 2
 
0.5%
8 2
 
0.5%
Other values (2) 3
 
0.7%

인허가일자
Real number (ℝ)

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20091143
Minimum19991029
Maximum20210202
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-17T13:46:35.136292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19991029
5-th percentile19991230
Q120010216
median20100222
Q320130528
95-th percentile20210126
Maximum20210202
Range219173
Interquartile range (IQR)120312

Descriptive statistics

Standard deviation73741.333
Coefficient of variation (CV)0.0036703404
Kurtosis-1.2107958
Mean20091143
Median Absolute Deviation (MAD)59506
Skewness0.038939071
Sum4.21914 × 108
Variance5.4377842 × 109
MonotonicityNot monotonic
2024-04-17T13:46:35.238084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
19991029 1
 
4.8%
20051130 1
 
4.8%
19991230 1
 
4.8%
20081017 1
 
4.8%
20130318 1
 
4.8%
20141218 1
 
4.8%
20040716 1
 
4.8%
20130528 1
 
4.8%
20000901 1
 
4.8%
20000630 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
19991029 1
4.8%
19991230 1
4.8%
20000630 1
4.8%
20000901 1
4.8%
20000908 1
4.8%
20010216 1
4.8%
20040716 1
4.8%
20051130 1
4.8%
20081017 1
4.8%
20091204 1
4.8%
ValueCountFrequency (%)
20210202 1
4.8%
20210126 1
4.8%
20190625 1
4.8%
20170718 1
4.8%
20141218 1
4.8%
20130528 1
4.8%
20130318 1
4.8%
20130129 1
4.8%
20120626 1
4.8%
20120302 1
4.8%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

영업상태구분코드
Categorical

Distinct3
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size300.0 B
1
14 
3
6 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)4.8%

Sample

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

Common Values

ValueCountFrequency (%)
1 14
66.7%
3 6
28.6%
4 1
 
4.8%

Length

2024-04-17T13:46:35.340175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T13:46:35.443226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 14
66.7%
3 6
28.6%
4 1
 
4.8%

영업상태명
Categorical

Distinct3
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size300.0 B
영업/정상
14 
폐업
6 
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length5
Mean length4.5714286
Min length2

Unique

Unique1 ?
Unique (%)4.8%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 14
66.7%
폐업 6
28.6%
취소/말소/만료/정지/중지 1
 
4.8%

Length

2024-04-17T13:46:35.541995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T13:46:35.640742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 14
66.7%
폐업 6
28.6%
취소/말소/만료/정지/중지 1
 
4.8%

상세영업상태코드
Categorical

Distinct3
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size300.0 B
13
14 
3
6 
35
 
1

Length

Max length2
Median length2
Mean length1.7142857
Min length1

Unique

Unique1 ?
Unique (%)4.8%

Sample

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

Common Values

ValueCountFrequency (%)
13 14
66.7%
3 6
28.6%
35 1
 
4.8%

Length

2024-04-17T13:46:35.752628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T13:46:35.844618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 14
66.7%
3 6
28.6%
35 1
 
4.8%

상세영업상태명
Categorical

Distinct3
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size300.0 B
영업중
14 
폐업
6 
직권말소
 
1

Length

Max length4
Median length3
Mean length2.7619048
Min length2

Unique

Unique1 ?
Unique (%)4.8%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 14
66.7%
폐업 6
28.6%
직권말소 1
 
4.8%

Length

2024-04-17T13:46:35.964674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T13:46:36.083710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 14
66.7%
폐업 6
28.6%
직권말소 1
 
4.8%

폐업일자
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)100.0%
Missing14
Missing (%)66.7%
Infinite0
Infinite (%)0.0%
Mean20139460
Minimum20091119
Maximum20170115
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-17T13:46:36.201482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20091119
5-th percentile20093882
Q120120779
median20151207
Q320161110
95-th percentile20167443
Maximum20170115
Range78996
Interquartile range (IQR)40331.5

Descriptive statistics

Standard deviation31322.103
Coefficient of variation (CV)0.0015552603
Kurtosis-0.96502534
Mean20139460
Median Absolute Deviation (MAD)10000
Skewness-0.9275253
Sum1.4097622 × 108
Variance9.8107413 × 108
MonotonicityNot monotonic
2024-04-17T13:46:36.319324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
20100329 1
 
4.8%
20161207 1
 
4.8%
20091119 1
 
4.8%
20161014 1
 
4.8%
20151207 1
 
4.8%
20141229 1
 
4.8%
20170115 1
 
4.8%
(Missing) 14
66.7%
ValueCountFrequency (%)
20091119 1
4.8%
20100329 1
4.8%
20141229 1
4.8%
20151207 1
4.8%
20161014 1
4.8%
20161207 1
4.8%
20170115 1
4.8%
ValueCountFrequency (%)
20170115 1
4.8%
20161207 1
4.8%
20161014 1
4.8%
20151207 1
4.8%
20141229 1
4.8%
20100329 1
4.8%
20091119 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 

Distinct6
Distinct (%)100.0%
Missing15
Missing (%)71.4%
Memory size300.0 B
2024-04-17T13:46:36.479798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.166667
Min length12

Characters and Unicode

Total characters73
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)100.0%

Sample

1st row051-583-3062
2nd row070-7494-0211
3rd row051-704-7125
4th row051-938-8024
5th row051)461-0988
ValueCountFrequency (%)
051-583-3062 1
16.7%
070-7494-0211 1
16.7%
051-704-7125 1
16.7%
051-938-8024 1
16.7%
051)461-0988 1
16.7%
051-746-0590 1
16.7%
2024-04-17T13:46:36.737457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 14
19.2%
- 11
15.1%
1 9
12.3%
5 8
11.0%
4 6
8.2%
8 5
 
6.8%
7 5
 
6.8%
2 4
 
5.5%
9 4
 
5.5%
3 3
 
4.1%
Other values (2) 4
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 61
83.6%
Dash Punctuation 11
 
15.1%
Close Punctuation 1
 
1.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 14
23.0%
1 9
14.8%
5 8
13.1%
4 6
9.8%
8 5
 
8.2%
7 5
 
8.2%
2 4
 
6.6%
9 4
 
6.6%
3 3
 
4.9%
6 3
 
4.9%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 73
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 14
19.2%
- 11
15.1%
1 9
12.3%
5 8
11.0%
4 6
8.2%
8 5
 
6.8%
7 5
 
6.8%
2 4
 
5.5%
9 4
 
5.5%
3 3
 
4.1%
Other values (2) 4
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 73
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 14
19.2%
- 11
15.1%
1 9
12.3%
5 8
11.0%
4 6
8.2%
8 5
 
6.8%
7 5
 
6.8%
2 4
 
5.5%
9 4
 
5.5%
3 3
 
4.1%
Other values (2) 4
 
5.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

소재지전체주소
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-04-17T13:46:36.956270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length30
Mean length26.571429
Min length19

Characters and Unicode

Total characters558
Distinct characters80
Distinct categories5 ?
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 row부산광역시 수영구 민락동 316-2번지 부산문화방송
2nd row부산광역시 연제구 연산동 603-1번지 5층
3rd row부산광역시 금정구 장전동 383-22 301호
4th row부산광역시 사하구 괴정동 579-7번지
5th row부산광역시 해운대구 우동 1466-2 영상산업센터 1008호
ValueCountFrequency (%)
부산광역시 21
 
19.8%
해운대구 9
 
8.5%
우동 7
 
6.6%
부산진구 3
 
2.8%
영상산업센터 3
 
2.8%
수영구 2
 
1.9%
1466-2번지 2
 
1.9%
1434번지 2
 
1.9%
1008호 2
 
1.9%
부전동 2
 
1.9%
Other values (51) 53
50.0%
2024-04-17T13:46:37.295322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
85
 
15.2%
산 31
 
5.6%
부 28
 
5.0%
1 25
 
4.5%
동 23
 
4.1%
광 22
 
3.9%
역 21
 
3.8%
시 21
 
3.8%
구 21
 
3.8%
2 18
 
3.2%
Other values (70) 263
47.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 334
59.9%
Decimal Number 124
 
22.2%
Space Separator 85
 
15.2%
Dash Punctuation 14
 
2.5%
Uppercase Letter 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 31
 
9.3%
부 28
 
8.4%
동 23
 
6.9%
광 22
 
6.6%
역 21
 
6.3%
시 21
 
6.3%
구 21
 
6.3%
지 17
 
5.1%
번 17
 
5.1%
대 10
 
3.0%
Other values (57) 123
36.8%
Decimal Number
ValueCountFrequency (%)
1 25
20.2%
2 18
14.5%
4 15
12.1%
0 15
12.1%
6 15
12.1%
3 14
11.3%
7 8
 
6.5%
5 7
 
5.6%
9 4
 
3.2%
8 3
 
2.4%
Space Separator
ValueCountFrequency (%)
85
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 334
59.9%
Common 223
40.0%
Latin 1
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 31
 
9.3%
부 28
 
8.4%
동 23
 
6.9%
광 22
 
6.6%
역 21
 
6.3%
시 21
 
6.3%
구 21
 
6.3%
지 17
 
5.1%
번 17
 
5.1%
대 10
 
3.0%
Other values (57) 123
36.8%
Common
ValueCountFrequency (%)
85
38.1%
1 25
 
11.2%
2 18
 
8.1%
4 15
 
6.7%
0 15
 
6.7%
6 15
 
6.7%
3 14
 
6.3%
- 14
 
6.3%
7 8
 
3.6%
5 7
 
3.1%
Other values (2) 7
 
3.1%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 334
59.9%
ASCII 224
40.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
85
37.9%
1 25
 
11.2%
2 18
 
8.0%
4 15
 
6.7%
0 15
 
6.7%
6 15
 
6.7%
3 14
 
6.2%
- 14
 
6.2%
7 8
 
3.6%
5 7
 
3.1%
Other values (3) 8
 
3.6%
Hangul
ValueCountFrequency (%)
산 31
 
9.3%
부 28
 
8.4%
동 23
 
6.9%
광 22
 
6.6%
역 21
 
6.3%
시 21
 
6.3%
구 21
 
6.3%
지 17
 
5.1%
번 17
 
5.1%
대 10
 
3.0%
Other values (57) 123
36.8%

도로명전체주소
Text

MISSING 

Distinct18
Distinct (%)94.7%
Missing2
Missing (%)9.5%
Memory size300.0 B
2024-04-17T13:46:37.516091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length36
Mean length32.473684
Min length25

Characters and Unicode

Total characters617
Distinct characters97
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

Unique17 ?
Unique (%)89.5%

Sample

1st row부산광역시 수영구 감포로8번길 69 (민락동,부산문화방송)
2nd row부산광역시 연제구 반송로 30 (연산동,5층)
3rd row부산광역시 금정구 부산대학로50번길 68, 피앤유 에이벡 301호 (장전동)
4th row부산광역시 사하구 낙동대로323번길 8 (괴정동)
5th row부산광역시 해운대구 센텀서로 39, 영상산업센터 1008호 (우동)
ValueCountFrequency (%)
부산광역시 19
 
16.5%
해운대구 8
 
7.0%
우동 7
 
6.1%
센텀서로 3
 
2.6%
39 3
 
2.6%
영상산업센터 3
 
2.6%
부산진구 3
 
2.6%
1 2
 
1.7%
마린시티3로 2
 
1.7%
수영구 2
 
1.7%
Other values (60) 63
54.8%
2024-04-17T13:46:37.859457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
103
 
16.7%
산 28
 
4.5%
부 26
 
4.2%
동 24
 
3.9%
시 22
 
3.6%
구 20
 
3.2%
광 20
 
3.2%
) 19
 
3.1%
로 19
 
3.1%
( 19
 
3.1%
Other values (87) 317
51.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 363
58.8%
Space Separator 103
 
16.7%
Decimal Number 96
 
15.6%
Close Punctuation 19
 
3.1%
Open Punctuation 19
 
3.1%
Other Punctuation 16
 
2.6%
Uppercase Letter 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 28
 
7.7%
부 26
 
7.2%
동 24
 
6.6%
시 22
 
6.1%
구 20
 
5.5%
광 20
 
5.5%
로 19
 
5.2%
역 19
 
5.2%
대 15
 
4.1%
운 10
 
2.8%
Other values (72) 160
44.1%
Decimal Number
ValueCountFrequency (%)
1 18
18.8%
3 17
17.7%
0 13
13.5%
5 10
10.4%
2 8
8.3%
8 8
8.3%
9 7
 
7.3%
6 5
 
5.2%
7 5
 
5.2%
4 5
 
5.2%
Space Separator
ValueCountFrequency (%)
103
100.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Other Punctuation
ValueCountFrequency (%)
, 16
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 363
58.8%
Common 253
41.0%
Latin 1
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 28
 
7.7%
부 26
 
7.2%
동 24
 
6.6%
시 22
 
6.1%
구 20
 
5.5%
광 20
 
5.5%
로 19
 
5.2%
역 19
 
5.2%
대 15
 
4.1%
운 10
 
2.8%
Other values (72) 160
44.1%
Common
ValueCountFrequency (%)
103
40.7%
) 19
 
7.5%
( 19
 
7.5%
1 18
 
7.1%
3 17
 
6.7%
, 16
 
6.3%
0 13
 
5.1%
5 10
 
4.0%
2 8
 
3.2%
8 8
 
3.2%
Other values (4) 22
 
8.7%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 363
58.8%
ASCII 254
41.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
103
40.6%
) 19
 
7.5%
( 19
 
7.5%
1 18
 
7.1%
3 17
 
6.7%
, 16
 
6.3%
0 13
 
5.1%
5 10
 
3.9%
2 8
 
3.1%
8 8
 
3.1%
Other values (5) 23
 
9.1%
Hangul
ValueCountFrequency (%)
산 28
 
7.7%
부 26
 
7.2%
동 24
 
6.6%
시 22
 
6.1%
구 20
 
5.5%
광 20
 
5.5%
로 19
 
5.2%
역 19
 
5.2%
대 15
 
4.1%
운 10
 
2.8%
Other values (72) 160
44.1%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)83.3%
Missing9
Missing (%)42.9%
Infinite0
Infinite (%)0.0%
Mean95134.75
Minimum46285
Maximum612822
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-17T13:46:37.959969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46285
5-th percentile47229.35
Q148058
median48074.5
Q348320.5
95-th percentile302939.35
Maximum612822
Range566537
Interquartile range (IQR)262.5

Descriptive statistics

Standard deviation163030.63
Coefficient of variation (CV)1.7136812
Kurtosis11.999454
Mean95134.75
Median Absolute Deviation (MAD)45
Skewness3.4639924
Sum1141617
Variance2.6578986 × 1010
MonotonicityNot monotonic
2024-04-17T13:46:38.047574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
48058 3
 
14.3%
46285 1
 
4.8%
49399 1
 
4.8%
48002 1
 
4.8%
48090 1
 
4.8%
48400 1
 
4.8%
48294 1
 
4.8%
48059 1
 
4.8%
48092 1
 
4.8%
612822 1
 
4.8%
(Missing) 9
42.9%
ValueCountFrequency (%)
46285 1
 
4.8%
48002 1
 
4.8%
48058 3
14.3%
48059 1
 
4.8%
48090 1
 
4.8%
48092 1
 
4.8%
48294 1
 
4.8%
48400 1
 
4.8%
49399 1
 
4.8%
612822 1
 
4.8%
ValueCountFrequency (%)
612822 1
 
4.8%
49399 1
 
4.8%
48400 1
 
4.8%
48294 1
 
4.8%
48092 1
 
4.8%
48090 1
 
4.8%
48059 1
 
4.8%
48058 3
14.3%
48002 1
 
4.8%
46285 1
 
4.8%

사업장명
Text

Distinct20
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-04-17T13:46:38.216094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length12
Mean length8.7619048
Min length4

Characters and Unicode

Total characters184
Distinct characters84
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

Unique19 ?
Unique (%)90.5%

Sample

1st row부산문화방송(주)
2nd row서희미디어
3rd row(주)바림
4th row(주)에이피엔터테인먼트
5th row주식회사 퍼니콘(FUNNYCON Co., Ltd.)
ValueCountFrequency (%)
주)씨에이씨엔터테인먼트 2
 
8.0%
퍼니콘(funnycon 2
 
8.0%
주)에이치엘 1
 
4.0%
대안영상음반프로덕션 1
 
4.0%
파란미디어 1
 
4.0%
테드미디어 1
 
4.0%
주)지에스피아 1
 
4.0%
주)아테크 1
 
4.0%
공영프로덕션 1
 
4.0%
아이비리그 1
 
4.0%
Other values (13) 13
52.0%
2024-04-17T13:46:38.506449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 12
 
6.5%
) 12
 
6.5%
주 11
 
6.0%
이 6
 
3.3%
N 6
 
3.3%
에 6
 
3.3%
씨 5
 
2.7%
테 5
 
2.7%
어 4
 
2.2%
4
 
2.2%
Other values (74) 113
61.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 129
70.1%
Uppercase Letter 20
 
10.9%
Open Punctuation 12
 
6.5%
Close Punctuation 12
 
6.5%
Space Separator 4
 
2.2%
Other Punctuation 3
 
1.6%
Lowercase Letter 3
 
1.6%
Decimal Number 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 11
 
8.5%
이 6
 
4.7%
에 6
 
4.7%
씨 5
 
3.9%
테 5
 
3.9%
어 4
 
3.1%
디 4
 
3.1%
미 4
 
3.1%
트 3
 
2.3%
먼 3
 
2.3%
Other values (56) 78
60.5%
Uppercase Letter
ValueCountFrequency (%)
N 6
30.0%
C 3
15.0%
O 2
 
10.0%
Y 2
 
10.0%
U 2
 
10.0%
F 2
 
10.0%
L 1
 
5.0%
T 1
 
5.0%
V 1
 
5.0%
Lowercase Letter
ValueCountFrequency (%)
o 1
33.3%
t 1
33.3%
d 1
33.3%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
, 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Decimal Number
ValueCountFrequency (%)
4 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 129
70.1%
Common 32
 
17.4%
Latin 23
 
12.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 11
 
8.5%
이 6
 
4.7%
에 6
 
4.7%
씨 5
 
3.9%
테 5
 
3.9%
어 4
 
3.1%
디 4
 
3.1%
미 4
 
3.1%
트 3
 
2.3%
먼 3
 
2.3%
Other values (56) 78
60.5%
Latin
ValueCountFrequency (%)
N 6
26.1%
C 3
13.0%
O 2
 
8.7%
Y 2
 
8.7%
U 2
 
8.7%
F 2
 
8.7%
o 1
 
4.3%
L 1
 
4.3%
t 1
 
4.3%
d 1
 
4.3%
Other values (2) 2
 
8.7%
Common
ValueCountFrequency (%)
( 12
37.5%
) 12
37.5%
4
 
12.5%
. 2
 
6.2%
, 1
 
3.1%
4 1
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 129
70.1%
ASCII 55
29.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 12
21.8%
) 12
21.8%
N 6
10.9%
4
 
7.3%
C 3
 
5.5%
O 2
 
3.6%
. 2
 
3.6%
Y 2
 
3.6%
U 2
 
3.6%
F 2
 
3.6%
Other values (8) 8
14.5%
Hangul
ValueCountFrequency (%)
주 11
 
8.5%
이 6
 
4.7%
에 6
 
4.7%
씨 5
 
3.9%
테 5
 
3.9%
어 4
 
3.1%
디 4
 
3.1%
미 4
 
3.1%
트 3
 
2.3%
먼 3
 
2.3%
Other values (56) 78
60.5%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.01398 × 1013
Minimum2.0091113 × 1013
Maximum2.0210309 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-17T13:46:38.617350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0091113 × 1013
5-th percentile2.0091113 × 1013
Q12.0091204 × 1013
median2.0141229 × 1013
Q32.0170406 × 1013
95-th percentile2.0210202 × 1013
Maximum2.0210309 × 1013
Range1.1919602 × 1011
Interquartile range (IQR)7.9201918 × 1010

Descriptive statistics

Standard deviation4.4280165 × 1010
Coefficient of variation (CV)0.0021986397
Kurtosis-1.3939972
Mean2.01398 × 1013
Median Absolute Deviation (MAD)4.081002 × 1010
Skewness0.27590668
Sum4.229358 × 1014
Variance1.960733 × 1021
MonotonicityNot monotonic
2024-04-17T13:46:38.732395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
20100208134920 1
 
4.8%
20091113163817 1
 
4.8%
20170120142550 1
 
4.8%
20141229113508 1
 
4.8%
20151207152720 1
 
4.8%
20161014102003 1
 
4.8%
20091119111916 1
 
4.8%
20161207165316 1
 
4.8%
20100419093804 1
 
4.8%
20091113163409 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
20091113131556 1
4.8%
20091113163409 1
4.8%
20091113163817 1
4.8%
20091119111916 1
4.8%
20091119180429 1
4.8%
20091204174318 1
4.8%
20100208134920 1
4.8%
20100419093804 1
4.8%
20120302173826 1
4.8%
20120626162540 1
4.8%
ValueCountFrequency (%)
20210309152308 1
4.8%
20210202122911 1
4.8%
20210126153934 1
4.8%
20181212165330 1
4.8%
20180430101929 1
4.8%
20170406092157 1
4.8%
20170120142550 1
4.8%
20161207165316 1
4.8%
20161014102003 1
4.8%
20151207152720 1
4.8%

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
I
19 
U
2 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 19
90.5%
U 2
 
9.5%

Length

2024-04-17T13:46:38.848859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T13:46:38.951411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 19
90.5%
u 2
 
9.5%

데이터갱신일자
Date

Distinct5
Distinct (%)23.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
Minimum2018-08-31 23:59:59
Maximum2021-03-11 02:40:00
2024-04-17T13:46:39.036443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T13:46:39.130587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)89.5%
Missing2
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean390869.92
Minimum380600.85
Maximum395615.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-17T13:46:39.235830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum380600.85
5-th percentile385589.93
Q1388113.39
median392522.01
Q3393715.46
95-th percentile395615.2
Maximum395615.2
Range15014.349
Interquartile range (IQR)5602.0634

Descriptive statistics

Standard deviation3963.3273
Coefficient of variation (CV)0.010139761
Kurtosis0.72609973
Mean390869.92
Median Absolute Deviation (MAD)2752.4093
Skewness-0.90487897
Sum7426528.4
Variance15707964
MonotonicityNot monotonic
2024-04-17T13:46:39.336131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
395615.201853958 2
 
9.5%
393674.032955782 2
 
9.5%
387507.350171264 1
 
4.8%
388486.657611629 1
 
4.8%
394038.562998688 1
 
4.8%
392522.00551099 1
 
4.8%
387573.84597643 1
 
4.8%
386144.267939369 1
 
4.8%
393560.435815231 1
 
4.8%
389769.596168536 1
 
4.8%
Other values (7) 7
33.3%
(Missing) 2
 
9.5%
ValueCountFrequency (%)
380600.852830818 1
4.8%
386144.267939369 1
4.8%
387507.350171264 1
4.8%
387573.84597643 1
4.8%
388076.389696558 1
4.8%
388150.394268792 1
4.8%
388486.657611629 1
4.8%
389769.596168536 1
4.8%
389902.827357765 1
4.8%
392522.00551099 1
4.8%
ValueCountFrequency (%)
395615.201853958 2
9.5%
394912.12222547 1
4.8%
394038.562998688 1
4.8%
393756.877790555 1
4.8%
393674.032955782 2
9.5%
393560.435815231 1
4.8%
392947.731623916 1
4.8%
392522.00551099 1
4.8%
389902.827357765 1
4.8%
389769.596168536 1
4.8%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)89.5%
Missing2
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean187431.82
Minimum179643.92
Maximum194780.06
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-17T13:46:39.440822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum179643.92
5-th percentile182200.4
Q1186374.17
median186698.08
Q3188054.85
95-th percentile193395.97
Maximum194780.06
Range15136.14
Interquartile range (IQR)1680.6877

Descriptive statistics

Standard deviation3396.7374
Coefficient of variation (CV)0.018122523
Kurtosis1.464624
Mean187431.82
Median Absolute Deviation (MAD)1275.2163
Skewness0.084692751
Sum3561204.5
Variance11537825
MonotonicityNot monotonic
2024-04-17T13:46:39.541703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
186406.750870936 2
 
9.5%
187973.297243244 2
 
9.5%
185925.409482326 1
 
4.8%
187914.991351658 1
 
4.8%
188042.384551855 1
 
4.8%
186429.194275156 1
 
4.8%
186341.582103738 1
 
4.8%
182484.449634237 1
 
4.8%
186680.450075565 1
 
4.8%
189597.688249197 1
 
4.8%
Other values (7) 7
33.3%
(Missing) 2
 
9.5%
ValueCountFrequency (%)
179643.924481708 1
4.8%
182484.449634237 1
4.8%
185188.729710212 1
4.8%
185925.409482326 1
4.8%
186341.582103738 1
4.8%
186406.750870936 2
9.5%
186429.194275156 1
4.8%
186680.450075565 1
4.8%
186698.080978428 1
4.8%
187914.991351658 1
4.8%
ValueCountFrequency (%)
194780.064298314 1
4.8%
193242.178055963 1
4.8%
191407.941480296 1
4.8%
189597.688249197 1
4.8%
188067.323834992 1
4.8%
188042.384551855 1
4.8%
187973.297243244 2
9.5%
187914.991351658 1
4.8%
186698.080978428 1
4.8%
186680.450075565 1
4.8%

문화체육업종명
Categorical

CONSTANT 

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

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
비디오물배급업 21
100.0%

Length

2024-04-17T13:46:39.666387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T13:46:39.756420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
비디오물배급업 21
100.0%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

총층수
Categorical

Distinct3
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size300.0 B
<NA>
17 
3
2 
2
2 

Length

Max length4
Median length4
Mean length3.4285714
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row3
4th row2
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 17
81.0%
3 2
 
9.5%
2 2
 
9.5%

Length

2024-04-17T13:46:39.853619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T13:46:39.967640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 17
81.0%
3 2
 
9.5%
2 2
 
9.5%

주변환경명
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing19
Missing (%)90.5%
Memory size300.0 B
2024-04-17T13:46:40.089057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length5
Mean length5
Min length2

Characters and Unicode

Total characters10
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st row기타
2nd row유흥업소밀집지역
ValueCountFrequency (%)
기타 1
50.0%
유흥업소밀집지역 1
50.0%
2024-04-17T13:46:40.341691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 1
10.0%
타 1
10.0%
유 1
10.0%
흥 1
10.0%
업 1
10.0%
소 1
10.0%
밀 1
10.0%
집 1
10.0%
지 1
10.0%
역 1
10.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 1
10.0%
타 1
10.0%
유 1
10.0%
흥 1
10.0%
업 1
10.0%
소 1
10.0%
밀 1
10.0%
집 1
10.0%
지 1
10.0%
역 1
10.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 1
10.0%
타 1
10.0%
유 1
10.0%
흥 1
10.0%
업 1
10.0%
소 1
10.0%
밀 1
10.0%
집 1
10.0%
지 1
10.0%
역 1
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 1
10.0%
타 1
10.0%
유 1
10.0%
흥 1
10.0%
업 1
10.0%
소 1
10.0%
밀 1
10.0%
집 1
10.0%
지 1
10.0%
역 1
10.0%

제작취급품목내용
Text

Distinct14
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-04-17T13:46:40.501541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length14
Mean length6.3809524
Min length3

Characters and Unicode

Total characters134
Distinct characters40
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

Unique10 ?
Unique (%)47.6%

Sample

1st row영상비디오물
2nd row비디오
3rd row영화,영상
4th row성인/전체이용가영상컨텐츠, UCC/홍보동영상
5th row웹드라마 등 비디오물 일체
ValueCountFrequency (%)
비디오 5
19.2%
비디오물 3
11.5%
비디오물배급 2
 
7.7%
영상콘텐츠 2
 
7.7%
등 2
 
7.7%
3d영상물 1
 
3.8%
영화,영상)비디오물 1
 
3.8%
비디오배급 1
 
3.8%
영상물배급 1
 
3.8%
콘텐츠 1
 
3.8%
Other values (7) 7
26.9%
2024-04-17T13:46:40.771523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
비 13
 
9.7%
영 13
 
9.7%
디 13
 
9.7%
오 13
 
9.7%
상 10
 
7.5%
물 9
 
6.7%
5
 
3.7%
배 4
 
3.0%
, 4
 
3.0%
츠 4
 
3.0%
Other values (30) 46
34.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 116
86.6%
Other Punctuation 6
 
4.5%
Space Separator 5
 
3.7%
Uppercase Letter 4
 
3.0%
Close Punctuation 1
 
0.7%
Decimal Number 1
 
0.7%
Open Punctuation 1
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
비 13
11.2%
영 13
11.2%
디 13
11.2%
오 13
11.2%
상 10
 
8.6%
물 9
 
7.8%
배 4
 
3.4%
츠 4
 
3.4%
텐 4
 
3.4%
급 4
 
3.4%
Other values (21) 29
25.0%
Uppercase Letter
ValueCountFrequency (%)
C 2
50.0%
D 1
25.0%
U 1
25.0%
Other Punctuation
ValueCountFrequency (%)
, 4
66.7%
/ 2
33.3%
Space Separator
ValueCountFrequency (%)
5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Decimal Number
ValueCountFrequency (%)
3 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 116
86.6%
Common 14
 
10.4%
Latin 4
 
3.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
비 13
11.2%
영 13
11.2%
디 13
11.2%
오 13
11.2%
상 10
 
8.6%
물 9
 
7.8%
배 4
 
3.4%
츠 4
 
3.4%
텐 4
 
3.4%
급 4
 
3.4%
Other values (21) 29
25.0%
Common
ValueCountFrequency (%)
5
35.7%
, 4
28.6%
/ 2
 
14.3%
) 1
 
7.1%
3 1
 
7.1%
( 1
 
7.1%
Latin
ValueCountFrequency (%)
C 2
50.0%
D 1
25.0%
U 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 116
86.6%
ASCII 18
 
13.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
비 13
11.2%
영 13
11.2%
디 13
11.2%
오 13
11.2%
상 10
 
8.6%
물 9
 
7.8%
배 4
 
3.4%
츠 4
 
3.4%
텐 4
 
3.4%
급 4
 
3.4%
Other values (21) 29
25.0%
ASCII
ValueCountFrequency (%)
5
27.8%
, 4
22.2%
/ 2
 
11.1%
C 2
 
11.1%
) 1
 
5.6%
3 1
 
5.6%
D 1
 
5.6%
( 1
 
5.6%
U 1
 
5.6%

시설면적
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)100.0%
Missing9
Missing (%)42.9%
Infinite0
Infinite (%)0.0%
Mean1006.9433
Minimum28.18
Maximum11300
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-17T13:46:40.874647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum28.18
5-th percentile33.1355
Q145.825
median62.125
Q391.4375
95-th percentile5186.64
Maximum11300
Range11271.82
Interquartile range (IQR)45.6125

Descriptive statistics

Standard deviation3241.7347
Coefficient of variation (CV)3.2193815
Kurtosis11.99494
Mean1006.9433
Median Absolute Deviation (MAD)21.18
Skewness3.463096
Sum12083.32
Variance10508844
MonotonicityNot monotonic
2024-04-17T13:46:40.979252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
61.5 1
 
4.8%
88.2 1
 
4.8%
44.7 1
 
4.8%
11300.0 1
 
4.8%
184.8 1
 
4.8%
59.99 1
 
4.8%
46.2 1
 
4.8%
37.19 1
 
4.8%
28.18 1
 
4.8%
62.75 1
 
4.8%
Other values (2) 2
 
9.5%
(Missing) 9
42.9%
ValueCountFrequency (%)
28.18 1
4.8%
37.19 1
4.8%
44.7 1
4.8%
46.2 1
4.8%
59.99 1
4.8%
61.5 1
4.8%
62.75 1
4.8%
68.66 1
4.8%
88.2 1
4.8%
101.15 1
4.8%
ValueCountFrequency (%)
11300.0 1
4.8%
184.8 1
4.8%
101.15 1
4.8%
88.2 1
4.8%
68.66 1
4.8%
62.75 1
4.8%
61.5 1
4.8%
59.99 1
4.8%
46.2 1
4.8%
44.7 1
4.8%

지상층수
Categorical

IMBALANCE 

Distinct5
Distinct (%)23.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
<NA>
17 
3
 
1
2
 
1
4
 
1
1
 
1

Length

Max length4
Median length4
Mean length3.4285714
Min length1

Unique

Unique4 ?
Unique (%)19.0%

Sample

1st row<NA>
2nd row<NA>
3rd row3
4th row2
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 17
81.0%
3 1
 
4.8%
2 1
 
4.8%
4 1
 
4.8%
1 1
 
4.8%

Length

2024-04-17T13:46:41.089057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T13:46:41.210268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 17
81.0%
3 1
 
4.8%
2 1
 
4.8%
4 1
 
4.8%
1 1
 
4.8%

지하층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size300.0 B
<NA>
18 
3
2 
0
 
1

Length

Max length4
Median length4
Mean length3.5714286
Min length1

Unique

Unique1 ?
Unique (%)4.8%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row0
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 18
85.7%
3 2
 
9.5%
0 1
 
4.8%

Length

2024-04-17T13:46:41.323708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T13:46:41.713155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 18
85.7%
3 2
 
9.5%
0 1
 
4.8%

건물용도명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing20
Missing (%)95.2%
Memory size300.0 B
2024-04-17T13:46:41.821495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters6
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row근린생활시설
ValueCountFrequency (%)
근린생활시설 1
100.0%
2024-04-17T13:46:42.041038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
근 1
16.7%
린 1
16.7%
생 1
16.7%
활 1
16.7%
시 1
16.7%
설 1
16.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
근 1
16.7%
린 1
16.7%
생 1
16.7%
활 1
16.7%
시 1
16.7%
설 1
16.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
근 1
16.7%
린 1
16.7%
생 1
16.7%
활 1
16.7%
시 1
16.7%
설 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
근 1
16.7%
린 1
16.7%
생 1
16.7%
활 1
16.7%
시 1
16.7%
설 1
16.7%

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
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

지역구분명
Text

MISSING 

Distinct3
Distinct (%)100.0%
Missing18
Missing (%)85.7%
Memory size300.0 B
2024-04-17T13:46:42.171019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length5.6666667
Min length5

Characters and Unicode

Total characters17
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)100.0%

Sample

1st row일반상업지역
2nd row준공업지역
3rd row중심상업지역
ValueCountFrequency (%)
일반상업지역 1
33.3%
준공업지역 1
33.3%
중심상업지역 1
33.3%
2024-04-17T13:46:42.433351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
업 3
17.6%
지 3
17.6%
역 3
17.6%
상 2
11.8%
일 1
 
5.9%
반 1
 
5.9%
준 1
 
5.9%
공 1
 
5.9%
중 1
 
5.9%
심 1
 
5.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 3
17.6%
지 3
17.6%
역 3
17.6%
상 2
11.8%
일 1
 
5.9%
반 1
 
5.9%
준 1
 
5.9%
공 1
 
5.9%
중 1
 
5.9%
심 1
 
5.9%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 3
17.6%
지 3
17.6%
역 3
17.6%
상 2
11.8%
일 1
 
5.9%
반 1
 
5.9%
준 1
 
5.9%
공 1
 
5.9%
중 1
 
5.9%
심 1
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
업 3
17.6%
지 3
17.6%
역 3
17.6%
상 2
11.8%
일 1
 
5.9%
반 1
 
5.9%
준 1
 
5.9%
공 1
 
5.9%
중 1
 
5.9%
심 1
 
5.9%

Unnamed: 59
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명Unnamed: 59
01비디오물배급업03_10_02_P3380000CDFF124111199900000119991029<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 수영구 민락동 316-2번지 부산문화방송부산광역시 수영구 감포로8번길 69 (민락동,부산문화방송)<NA>부산문화방송(주)20100208134920I2018-08-31 23:59:59.0<NA>393560.435815186680.450076비디오물배급업<NA><NA><NA>영상비디오물<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>
12비디오물배급업03_10_02_P3370000CDFF124111200500000120051130<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 연제구 연산동 603-1번지 5층부산광역시 연제구 반송로 30 (연산동,5층)<NA>서희미디어20091113163817I2018-08-31 23:59:59.0<NA>389769.596169189597.688249비디오물배급업<NA><NA><NA>비디오<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23비디오물배급업03_10_02_P3350000CDFF124111202000000120190625<NA>1영업/정상13영업중<NA><NA><NA><NA>051-583-3062<NA><NA>부산광역시 금정구 장전동 383-22 301호부산광역시 금정구 부산대학로50번길 68, 피앤유 에이벡 301호 (장전동)46285(주)바림20210309152308U2021-03-11 02:40:00.0<NA>389902.827358194780.064298비디오물배급업<NA>3<NA>영화,영상61.53<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>
34비디오물배급업03_10_02_P3340000CDFF124111201200000120120626<NA>1영업/정상13영업중<NA><NA><NA><NA>070-7494-0211<NA><NA>부산광역시 사하구 괴정동 579-7번지부산광역시 사하구 낙동대로323번길 8 (괴정동)49399(주)에이피엔터테인먼트20120626162540I2018-08-31 23:59:59.0<NA>380600.852831179643.924482비디오물배급업<NA>2<NA>성인/전체이용가영상컨텐츠, UCC/홍보동영상88.220<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
45비디오물배급업03_10_02_P3330000CDFF124111202100000120210202<NA>1영업/정상13영업중<NA><NA><NA><NA>051-704-7125<NA><NA>부산광역시 해운대구 우동 1466-2 영상산업센터 1008호부산광역시 해운대구 센텀서로 39, 영상산업센터 1008호 (우동)48058주식회사 퍼니콘(FUNNYCON Co., Ltd.)20210202122911I2021-02-04 00:23:03.0<NA>393674.032956187973.297243비디오물배급업<NA><NA><NA>웹드라마 등 비디오물 일체44.7<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>
56비디오물배급업03_10_02_P3330000CDFF124111201800000120170718<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 우동 1466-2번지 영상산업센터 1007호부산광역시 해운대구 센텀서로 39, 영상산업센터 1007호 (우동)48058(주)씨에이씨엔터테인먼트20180430101929I2018-08-31 23:59:59.0<NA>393674.032956187973.297243비디오물배급업<NA><NA><NA>영상콘텐츠11300.043<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반상업지역<NA>
67비디오물배급업03_10_02_P3330000CDFF124111201700000120100222<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 석대동 632번지부산광역시 해운대구 반송로525번길 45 (석대동)48002(주)동호전자20170406092157I2018-08-31 23:59:59.0<NA>392947.731624193242.178056비디오물배급업<NA>3기타3D영상물184.813<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>준공업지역<NA>
78비디오물배급업03_10_02_P3330000CDFF124111201300000120130129<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)20181212165330U2018-12-14 02:40:00.0<NA>393756.877791188067.323835비디오물배급업<NA><NA><NA>콘텐츠59.99<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>
89비디오물배급업03_10_02_P3330000CDFF124111201200000120120302<NA>1영업/정상13영업중<NA><NA><NA><NA>051-938-8024<NA><NA>부산광역시 해운대구 우동 1392번지 부산영화촬영스튜디오 2층부산광역시 해운대구 해운대해변로 52 (우동)48090(주)에이씨피컴퍼니20120302173826I2018-08-31 23:59:59.0<NA>394912.122225186698.080978비디오물배급업<NA>2<NA>영상콘텐츠46.2<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>
910비디오물배급업03_10_02_P3330000CDFF124111200900000120091204<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 중동 176-7번지<NA><NA>제4TV20091204174318I2018-08-31 23:59:59.0<NA><NA><NA>비디오물배급업<NA><NA><NA>영상물배급37.19<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명Unnamed: 59
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1213비디오물배급업03_10_02_P3290000CDFF124111200100000120010216<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 부산진구 부전동 254-10번지부산광역시 부산진구 서면로68번길 43 (부전동)<NA>한일기획20091119180429I2018-08-31 23:59:59.0<NA>387507.350171185925.409482비디오물배급업<NA><NA><NA>비디오<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1314비디오물배급업03_10_02_P3270000CDFF124111200000000120000630<NA>1영업/정상13영업중<NA><NA><NA><NA>051)461-0988<NA><NA>부산광역시 동구 수정동 367-24번지 2통4반 B층 105부산광역시 동구 초량상로157번길 7 (수정동,B층 105)<NA>아이비리그20091113163409I2018-08-31 23:59:59.0<NA>386144.267939182484.449634비디오물배급업<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>
1415비디오물배급업03_10_02_P3290000CDFF124111200000000120000901<NA>4취소/말소/만료/정지/중지35직권말소20100329<NA><NA><NA><NA><NA><NA>부산광역시 부산진구 부전동 260-3번지부산광역시 부산진구 중앙대로 737 (부전동)<NA>공영프로덕션20100419093804I2018-08-31 23:59:59.0<NA>387573.845976186341.582104비디오물배급업<NA><NA><NA>비디오<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
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1920비디오물배급업03_10_02_P3330000CDFF124111200800000120081017<NA>3폐업3폐업20141229<NA><NA><NA><NA><NA><NA>부산광역시 해운대구 우동 1434번지 610호부산광역시 해운대구 마린시티3로 1, 610호 (우동)612822파란미디어20141229113508I2018-08-31 23:59:59.0<NA>395615.201854186406.750871비디오물배급업<NA><NA><NA>비디오물배급<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>
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