Overview

Dataset statistics

Number of variables60
Number of observations2067
Missing cells63582
Missing cells (%)51.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.0 MiB
Average record size in memory522.1 B

Variable types

Numeric17
Categorical12
Text6
Unsupported24
DateTime1

Dataset

Description2021-03-01
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20230901050101123038

Alerts

개방서비스명 has constant value ""Constant
개방서비스id has constant value ""Constant
문화체육업종명 has constant value ""Constant
문화사업자구분명 has constant value ""Constant
주변환경명 is highly imbalanced (57.5%)Imbalance
건물용도명 is highly imbalanced (64.9%)Imbalance
제공게임물명 is highly imbalanced (70.4%)Imbalance
지역구분명 is highly imbalanced (57.1%)Imbalance
인허가취소일자 has 1581 (76.5%) missing valuesMissing
폐업일자 has 826 (40.0%) missing valuesMissing
휴업시작일자 has 2067 (100.0%) missing valuesMissing
휴업종료일자 has 2067 (100.0%) missing valuesMissing
재개업일자 has 2067 (100.0%) missing valuesMissing
소재지전화 has 1948 (94.2%) missing valuesMissing
소재지면적 has 2067 (100.0%) missing valuesMissing
소재지우편번호 has 1984 (96.0%) missing valuesMissing
도로명전체주소 has 96 (4.6%) missing valuesMissing
도로명우편번호 has 712 (34.4%) missing valuesMissing
업태구분명 has 2067 (100.0%) missing valuesMissing
총층수 has 1121 (54.2%) missing valuesMissing
제작취급품목내용 has 661 (32.0%) missing valuesMissing
지상층수 has 741 (35.8%) missing valuesMissing
지하층수 has 1488 (72.0%) missing valuesMissing
통로너비 has 2067 (100.0%) missing valuesMissing
조명시설조도 has 1869 (90.4%) missing valuesMissing
노래방실수 has 2067 (100.0%) missing valuesMissing
청소년실수 has 2067 (100.0%) missing valuesMissing
비상계단여부 has 2067 (100.0%) missing valuesMissing
비상구여부 has 2067 (100.0%) missing valuesMissing
자동환기여부 has 2067 (100.0%) missing valuesMissing
청소년실여부 has 2067 (100.0%) missing valuesMissing
특수조명여부 has 2067 (100.0%) missing valuesMissing
방음시설여부 has 2067 (100.0%) missing valuesMissing
비디오재생기명 has 2067 (100.0%) missing valuesMissing
조명시설유무 has 2067 (100.0%) missing valuesMissing
음향시설여부 has 2067 (100.0%) missing valuesMissing
편의시설여부 has 2067 (100.0%) missing valuesMissing
소방시설여부 has 2067 (100.0%) missing valuesMissing
총게임기수 has 930 (45.0%) missing valuesMissing
기존게임업외업종명 has 2067 (100.0%) missing valuesMissing
공연장형태구분명 has 2067 (100.0%) missing valuesMissing
품목명 has 2067 (100.0%) missing valuesMissing
최초등록시점 has 2067 (100.0%) missing valuesMissing
Unnamed: 59 has 2067 (100.0%) missing valuesMissing
시설면적 is highly skewed (γ1 = 44.0313342)Skewed
번호 has unique valuesUnique
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
통로너비 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
기존게임업외업종명 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
지하층수 has 33 (1.6%) zerosZeros

Reproduction

Analysis started2024-04-18 02:17:14.770009
Analysis finished2024-04-18 02:17:15.902136
Duration1.13 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct2067
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1034
Minimum1
Maximum2067
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.3 KiB
2024-04-18T11:17:15.960612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile104.3
Q1517.5
median1034
Q31550.5
95-th percentile1963.7
Maximum2067
Range2066
Interquartile range (IQR)1033

Descriptive statistics

Standard deviation596.83582
Coefficient of variation (CV)0.57721066
Kurtosis-1.2
Mean1034
Median Absolute Deviation (MAD)517
Skewness0
Sum2137278
Variance356213
MonotonicityStrictly increasing
2024-04-18T11:17:16.064169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
1359 1
 
< 0.1%
1389 1
 
< 0.1%
1388 1
 
< 0.1%
1387 1
 
< 0.1%
1386 1
 
< 0.1%
1385 1
 
< 0.1%
1384 1
 
< 0.1%
1383 1
 
< 0.1%
1382 1
 
< 0.1%
Other values (2057) 2057
99.5%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
2067 1
< 0.1%
2066 1
< 0.1%
2065 1
< 0.1%
2064 1
< 0.1%
2063 1
< 0.1%
2062 1
< 0.1%
2061 1
< 0.1%
2060 1
< 0.1%
2059 1
< 0.1%
2058 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size16.3 KiB
청소년게임제공업
2067 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
청소년게임제공업 2067
100.0%

Length

2024-04-18T11:17:16.164863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:17:16.239764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
청소년게임제공업 2067
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size16.3 KiB
03_05_07_P
2067 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row03_05_07_P
2nd row03_05_07_P
3rd row03_05_07_P
4th row03_05_07_P
5th row03_05_07_P

Common Values

ValueCountFrequency (%)
03_05_07_P 2067
100.0%

Length

2024-04-18T11:17:16.317750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:17:16.393965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_05_07_p 2067
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3323739.7
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.3 KiB
2024-04-18T11:17:16.465638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3250000
5-th percentile3250000
Q13290000
median3320000
Q33360000
95-th percentile3390000
Maximum3400000
Range150000
Interquartile range (IQR)70000

Descriptive statistics

Standard deviation44862.876
Coefficient of variation (CV)0.01349771
Kurtosis-0.99780387
Mean3323739.7
Median Absolute Deviation (MAD)30000
Skewness-0.038839948
Sum6.87017 × 109
Variance2.0126776 × 109
MonotonicityNot monotonic
2024-04-18T11:17:16.559531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3250000 264
12.8%
3290000 227
11.0%
3390000 223
10.8%
3300000 203
9.8%
3330000 174
8.4%
3340000 167
8.1%
3350000 140
6.8%
3370000 137
6.6%
3310000 135
6.5%
3320000 134
6.5%
Other values (6) 263
12.7%
ValueCountFrequency (%)
3250000 264
12.8%
3260000 17
 
0.8%
3270000 43
 
2.1%
3280000 30
 
1.5%
3290000 227
11.0%
3300000 203
9.8%
3310000 135
6.5%
3320000 134
6.5%
3330000 174
8.4%
3340000 167
8.1%
ValueCountFrequency (%)
3400000 52
 
2.5%
3390000 223
10.8%
3380000 103
5.0%
3370000 137
6.6%
3360000 18
 
0.9%
3350000 140
6.8%
3340000 167
8.1%
3330000 174
8.4%
3320000 134
6.5%
3310000 135
6.5%

관리번호
Text

Distinct335
Distinct (%)16.2%
Missing0
Missing (%)0.0%
Memory size16.3 KiB
2024-04-18T11:17:16.723868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters41340
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

Unique66 ?
Unique (%)3.2%

Sample

1st rowCDFF2241142019000006
2nd rowCDFF2241142019000007
3rd rowCDFF2241142017000011
4th rowCDFF2241142017000012
5th rowCDFF2241142017000019
ValueCountFrequency (%)
cdff2241142017000002 16
 
0.8%
cdff2241142016000001 16
 
0.8%
cdff2241142017000001 16
 
0.8%
cdff2241142018000002 15
 
0.7%
cdff2241142009000002 15
 
0.7%
cdff2241142019000001 15
 
0.7%
cdff2241142017000004 15
 
0.7%
cdff2241142009000001 15
 
0.7%
cdff2241142018000001 15
 
0.7%
cdff2241142017000003 15
 
0.7%
Other values (325) 1914
92.6%
2024-04-18T11:17:16.987112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 12464
30.1%
2 6855
16.6%
1 6702
16.2%
4 4471
 
10.8%
F 4134
 
10.0%
C 2067
 
5.0%
D 2067
 
5.0%
8 630
 
1.5%
7 498
 
1.2%
9 421
 
1.0%
Other values (3) 1031
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 33072
80.0%
Uppercase Letter 8268
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 12464
37.7%
2 6855
20.7%
1 6702
20.3%
4 4471
 
13.5%
8 630
 
1.9%
7 498
 
1.5%
9 421
 
1.3%
3 378
 
1.1%
6 328
 
1.0%
5 325
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
F 4134
50.0%
C 2067
25.0%
D 2067
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33072
80.0%
Latin 8268
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 12464
37.7%
2 6855
20.7%
1 6702
20.3%
4 4471
 
13.5%
8 630
 
1.9%
7 498
 
1.5%
9 421
 
1.3%
3 378
 
1.1%
6 328
 
1.0%
5 325
 
1.0%
Latin
ValueCountFrequency (%)
F 4134
50.0%
C 2067
25.0%
D 2067
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 41340
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 12464
30.1%
2 6855
16.6%
1 6702
16.2%
4 4471
 
10.8%
F 4134
 
10.0%
C 2067
 
5.0%
D 2067
 
5.0%
8 630
 
1.5%
7 498
 
1.2%
9 421
 
1.0%
Other values (3) 1031
 
2.5%

인허가일자
Real number (ℝ)

Distinct1268
Distinct (%)61.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20128408
Minimum19870303
Maximum20210115
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.3 KiB
2024-04-18T11:17:17.103437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19870303
5-th percentile20080513
Q120090367
median20120511
Q320170131
95-th percentile20190422
Maximum20210115
Range339812
Interquartile range (IQR)79764

Descriptive statistics

Standard deviation40643.269
Coefficient of variation (CV)0.0020191994
Kurtosis0.90324858
Mean20128408
Median Absolute Deviation (MAD)39404
Skewness-0.23819237
Sum4.160542 × 1010
Variance1.6518753 × 109
MonotonicityNot monotonic
2024-04-18T11:17:17.217373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20080519 14
 
0.7%
20071218 9
 
0.4%
20071116 8
 
0.4%
20170126 8
 
0.4%
20080731 7
 
0.3%
20110311 7
 
0.3%
20090123 7
 
0.3%
20090327 6
 
0.3%
20081028 6
 
0.3%
20080529 6
 
0.3%
Other values (1258) 1989
96.2%
ValueCountFrequency (%)
19870303 1
< 0.1%
19890105 1
< 0.1%
19890309 1
< 0.1%
19900611 1
< 0.1%
20000215 1
< 0.1%
20020110 1
< 0.1%
20020903 1
< 0.1%
20040109 1
< 0.1%
20051018 1
< 0.1%
20070619 1
< 0.1%
ValueCountFrequency (%)
20210115 1
< 0.1%
20210113 1
< 0.1%
20201223 1
< 0.1%
20201110 1
< 0.1%
20201016 1
< 0.1%
20200929 1
< 0.1%
20200922 1
< 0.1%
20200918 1
< 0.1%
20200827 1
< 0.1%
20200811 1
< 0.1%

인허가취소일자
Real number (ℝ)

MISSING 

Distinct403
Distinct (%)82.9%
Missing1581
Missing (%)76.5%
Infinite0
Infinite (%)0.0%
Mean20134350
Minimum20080303
Maximum20201223
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.3 KiB
2024-04-18T11:17:17.335285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20080303
5-th percentile20090742
Q120110404
median20120623
Q320160707
95-th percentile20190929
Maximum20201223
Range120920
Interquartile range (IQR)50303.25

Descriptive statistics

Standard deviation33437.195
Coefficient of variation (CV)0.001660704
Kurtosis-1.1395972
Mean20134350
Median Absolute Deviation (MAD)29498
Skewness0.41730312
Sum9.7852942 × 109
Variance1.118046 × 109
MonotonicityNot monotonic
2024-04-18T11:17:17.461144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20111010 5
 
0.2%
20091125 4
 
0.2%
20160104 4
 
0.2%
20110812 3
 
0.1%
20090629 3
 
0.1%
20151022 3
 
0.1%
20110720 3
 
0.1%
20160609 3
 
0.1%
20110714 3
 
0.1%
20181212 3
 
0.1%
Other values (393) 452
 
21.9%
(Missing) 1581
76.5%
ValueCountFrequency (%)
20080303 1
< 0.1%
20081211 1
< 0.1%
20081215 1
< 0.1%
20090108 1
< 0.1%
20090213 1
< 0.1%
20090301 1
< 0.1%
20090313 1
< 0.1%
20090325 1
< 0.1%
20090326 1
< 0.1%
20090401 1
< 0.1%
ValueCountFrequency (%)
20201223 1
< 0.1%
20201110 1
< 0.1%
20201026 1
< 0.1%
20200904 1
< 0.1%
20200804 1
< 0.1%
20200803 2
0.1%
20200721 1
< 0.1%
20200630 1
< 0.1%
20200605 1
< 0.1%
20200424 2
0.1%

영업상태구분코드
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size16.3 KiB
3
1127 
4
607 
1
333 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 1127
54.5%
4 607
29.4%
1 333
 
16.1%

Length

2024-04-18T11:17:17.587474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:17:17.672805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 1127
54.5%
4 607
29.4%
1 333
 
16.1%

영업상태명
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size16.3 KiB
폐업
1127 
취소/말소/만료/정지/중지
607 
영업/정상
333 

Length

Max length14
Median length2
Mean length6.0072569
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 1127
54.5%
취소/말소/만료/정지/중지 607
29.4%
영업/정상 333
 
16.1%

Length

2024-04-18T11:17:18.429389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:17:18.521646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1127
54.5%
취소/말소/만료/정지/중지 607
29.4%
영업/정상 333
 
16.1%

상세영업상태코드
Real number (ℝ)

Distinct7
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.069182
Minimum3
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.3 KiB
2024-04-18T11:17:18.603806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q13
median3
Q331
95-th percentile35
Maximum35
Range32
Interquartile range (IQR)28

Descriptive statistics

Standard deviation12.60021
Coefficient of variation (CV)0.96411618
Kurtosis-1.2859336
Mean13.069182
Median Absolute Deviation (MAD)0
Skewness0.70427022
Sum27014
Variance158.7653
MonotonicityNot monotonic
2024-04-18T11:17:18.681071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3 1126
54.5%
31 488
23.6%
13 333
 
16.1%
35 116
 
5.6%
30 2
 
0.1%
25 1
 
< 0.1%
34 1
 
< 0.1%
ValueCountFrequency (%)
3 1126
54.5%
13 333
 
16.1%
25 1
 
< 0.1%
30 2
 
0.1%
31 488
23.6%
34 1
 
< 0.1%
35 116
 
5.6%
ValueCountFrequency (%)
35 116
 
5.6%
34 1
 
< 0.1%
31 488
23.6%
30 2
 
0.1%
25 1
 
< 0.1%
13 333
 
16.1%
3 1126
54.5%

상세영업상태명
Categorical

Distinct7
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size16.3 KiB
폐업
1126 
등록취소
488 
영업중
333 
직권말소
116 
허가취소
 
2
Other values (2)
 
2

Length

Max length5
Median length2
Mean length2.7498791
Min length2

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 1126
54.5%
등록취소 488
23.6%
영업중 333
 
16.1%
직권말소 116
 
5.6%
허가취소 2
 
0.1%
영업정지 1
 
< 0.1%
영업장폐쇄 1
 
< 0.1%

Length

2024-04-18T11:17:18.787699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:17:18.895106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1126
54.5%
등록취소 488
23.6%
영업중 333
 
16.1%
직권말소 116
 
5.6%
허가취소 2
 
0.1%
영업정지 1
 
< 0.1%
영업장폐쇄 1
 
< 0.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct922
Distinct (%)74.3%
Missing826
Missing (%)40.0%
Infinite0
Infinite (%)0.0%
Mean20136010
Minimum20080218
Maximum20210118
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.3 KiB
2024-04-18T11:17:19.006926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20080218
5-th percentile20090512
Q120101118
median20130807
Q320170801
95-th percentile20191107
Maximum20210118
Range129900
Interquartile range (IQR)69683

Descriptive statistics

Standard deviation35675.305
Coefficient of variation (CV)0.0017717167
Kurtosis-1.1703167
Mean20136010
Median Absolute Deviation (MAD)30112
Skewness0.29045565
Sum2.4988788 × 1010
Variance1.2727274 × 109
MonotonicityNot monotonic
2024-04-18T11:17:19.124364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20100329 15
 
0.7%
20130829 9
 
0.4%
20140321 8
 
0.4%
20100601 6
 
0.3%
20140611 6
 
0.3%
20101028 5
 
0.2%
20130808 4
 
0.2%
20100917 4
 
0.2%
20120627 4
 
0.2%
20100203 4
 
0.2%
Other values (912) 1176
56.9%
(Missing) 826
40.0%
ValueCountFrequency (%)
20080218 1
< 0.1%
20080317 1
< 0.1%
20080328 1
< 0.1%
20080404 1
< 0.1%
20080502 1
< 0.1%
20080508 1
< 0.1%
20080526 1
< 0.1%
20080527 1
< 0.1%
20080603 1
< 0.1%
20080623 1
< 0.1%
ValueCountFrequency (%)
20210118 1
< 0.1%
20210115 1
< 0.1%
20201231 1
< 0.1%
20201215 1
< 0.1%
20201210 1
< 0.1%
20201111 2
0.1%
20201105 1
< 0.1%
20201031 1
< 0.1%
20201030 2
0.1%
20201021 1
< 0.1%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2067
Missing (%)100.0%
Memory size18.3 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2067
Missing (%)100.0%
Memory size18.3 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2067
Missing (%)100.0%
Memory size18.3 KiB

소재지전화
Text

MISSING 

Distinct118
Distinct (%)99.2%
Missing1948
Missing (%)94.2%
Memory size16.3 KiB
2024-04-18T11:17:19.348600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length8
Mean length9.5546218
Min length1

Characters and Unicode

Total characters1137
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique117 ?
Unique (%)98.3%

Sample

1st row051)246-0464
2nd row051)469-5128
3rd row051)559-5501
4th row070-4082-8249
5th row852-3347
ValueCountFrequency (%)
342-3788 2
 
1.7%
528-5892 1
 
0.8%
262-4111 1
 
0.8%
202-3400 1
 
0.8%
051-293-6622 1
 
0.8%
204-7528 1
 
0.8%
202-2467 1
 
0.8%
208-0767 1
 
0.8%
208-6891 1
 
0.8%
051-291-7918 1
 
0.8%
Other values (108) 108
90.8%
2024-04-18T11:17:19.697568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 155
13.6%
- 154
13.5%
5 134
11.8%
1 125
11.0%
3 99
8.7%
2 97
8.5%
6 86
7.6%
8 82
7.2%
4 76
6.7%
7 74
6.5%
Other values (3) 55
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 975
85.8%
Dash Punctuation 154
 
13.5%
Close Punctuation 7
 
0.6%
Other Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 155
15.9%
5 134
13.7%
1 125
12.8%
3 99
10.2%
2 97
9.9%
6 86
8.8%
8 82
8.4%
4 76
7.8%
7 74
7.6%
9 47
 
4.8%
Dash Punctuation
ValueCountFrequency (%)
- 154
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Other Punctuation
ValueCountFrequency (%)
' 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1137
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 155
13.6%
- 154
13.5%
5 134
11.8%
1 125
11.0%
3 99
8.7%
2 97
8.5%
6 86
7.6%
8 82
7.2%
4 76
6.7%
7 74
6.5%
Other values (3) 55
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1137
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 155
13.6%
- 154
13.5%
5 134
11.8%
1 125
11.0%
3 99
8.7%
2 97
8.5%
6 86
7.6%
8 82
7.2%
4 76
6.7%
7 74
6.5%
Other values (3) 55
 
4.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2067
Missing (%)100.0%
Memory size18.3 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct63
Distinct (%)75.9%
Missing1984
Missing (%)96.0%
Infinite0
Infinite (%)0.0%
Mean609865.77
Minimum600046
Maximum619903
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.3 KiB
2024-04-18T11:17:19.823989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum600046
5-th percentile601808
Q1606432
median609834
Q3612847
95-th percentile616847.3
Maximum619903
Range19857
Interquartile range (IQR)6415

Descriptive statistics

Standard deviation4931.2253
Coefficient of variation (CV)0.0080857551
Kurtosis-0.78088012
Mean609865.77
Median Absolute Deviation (MAD)3030
Skewness-0.32472831
Sum50618859
Variance24316983
MonotonicityNot monotonic
2024-04-18T11:17:19.948208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
614847 3
 
0.1%
612812 3
 
0.1%
604851 3
 
0.1%
600046 3
 
0.1%
609805 2
 
0.1%
612842 2
 
0.1%
604814 2
 
0.1%
606809 2
 
0.1%
612817 2
 
0.1%
614863 2
 
0.1%
Other values (53) 59
 
2.9%
(Missing) 1984
96.0%
ValueCountFrequency (%)
600046 3
0.1%
600807 1
 
< 0.1%
601808 2
0.1%
601812 2
0.1%
601818 1
 
< 0.1%
601829 1
 
< 0.1%
602819 1
 
< 0.1%
604812 1
 
< 0.1%
604813 2
0.1%
604814 2
0.1%
ValueCountFrequency (%)
619903 1
< 0.1%
617810 1
< 0.1%
617807 1
< 0.1%
617806 1
< 0.1%
616852 1
< 0.1%
616805 1
< 0.1%
614873 1
< 0.1%
614863 2
0.1%
614862 1
< 0.1%
614856 1
< 0.1%

소재지전체주소
Text

Distinct1581
Distinct (%)76.8%
Missing9
Missing (%)0.4%
Memory size16.3 KiB
2024-04-18T11:17:20.199040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length50
Mean length24.601069
Min length12

Characters and Unicode

Total characters50629
Distinct characters324
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1321 ?
Unique (%)64.2%

Sample

1st row부산광역시 중구 남포동6가 74-1번지
2nd row부산광역시 중구 부평동1가 41-2
3rd row부산광역시 중구 부평동2가 45-1번지
4th row부산광역시 중구 남포동6가 74-1번지
5th row부산광역시 중구 남포동5가 88번지
ValueCountFrequency (%)
부산광역시 2058
 
21.7%
중구 264
 
2.8%
부산진구 227
 
2.4%
사상구 224
 
2.4%
동래구 202
 
2.1%
해운대구 174
 
1.8%
사하구 167
 
1.8%
1층 165
 
1.7%
부전동 153
 
1.6%
금정구 139
 
1.5%
Other values (1699) 5697
60.2%
2024-04-18T11:17:20.557867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7438
 
14.7%
부 2550
 
5.0%
1 2528
 
5.0%
산 2433
 
4.8%
지 2378
 
4.7%
동 2293
 
4.5%
광 2133
 
4.2%
구 2124
 
4.2%
역 2082
 
4.1%
시 2079
 
4.1%
Other values (314) 22591
44.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 29957
59.2%
Decimal Number 10556
 
20.8%
Space Separator 7438
 
14.7%
Dash Punctuation 1948
 
3.8%
Close Punctuation 304
 
0.6%
Open Punctuation 304
 
0.6%
Other Punctuation 76
 
0.2%
Uppercase Letter 29
 
0.1%
Lowercase Letter 13
 
< 0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 2550
 
8.5%
산 2433
 
8.1%
지 2378
 
7.9%
동 2293
 
7.7%
광 2133
 
7.1%
구 2124
 
7.1%
역 2082
 
6.9%
시 2079
 
6.9%
번 1973
 
6.6%
층 680
 
2.3%
Other values (274) 9232
30.8%
Lowercase Letter
ValueCountFrequency (%)
w 2
15.4%
d 1
7.7%
a 1
7.7%
n 1
7.7%
f 1
7.7%
l 1
7.7%
o 1
7.7%
h 1
7.7%
t 1
7.7%
i 1
7.7%
Other values (2) 2
15.4%
Decimal Number
ValueCountFrequency (%)
1 2528
23.9%
2 1687
16.0%
4 1002
 
9.5%
3 973
 
9.2%
5 914
 
8.7%
6 893
 
8.5%
0 798
 
7.6%
7 663
 
6.3%
9 570
 
5.4%
8 528
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
B 7
24.1%
K 5
17.2%
S 5
17.2%
A 4
13.8%
Y 3
10.3%
H 3
10.3%
U 2
 
6.9%
Other Punctuation
ValueCountFrequency (%)
, 40
52.6%
: 33
43.4%
. 2
 
2.6%
@ 1
 
1.3%
Math Symbol
ValueCountFrequency (%)
~ 2
66.7%
∼ 1
33.3%
Space Separator
ValueCountFrequency (%)
7438
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1948
100.0%
Close Punctuation
ValueCountFrequency (%)
) 304
100.0%
Open Punctuation
ValueCountFrequency (%)
( 304
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 29957
59.2%
Common 20630
40.7%
Latin 42
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 2550
 
8.5%
산 2433
 
8.1%
지 2378
 
7.9%
동 2293
 
7.7%
광 2133
 
7.1%
구 2124
 
7.1%
역 2082
 
6.9%
시 2079
 
6.9%
번 1973
 
6.6%
층 680
 
2.3%
Other values (274) 9232
30.8%
Common
ValueCountFrequency (%)
7438
36.1%
1 2528
 
12.3%
- 1948
 
9.4%
2 1687
 
8.2%
4 1002
 
4.9%
3 973
 
4.7%
5 914
 
4.4%
6 893
 
4.3%
0 798
 
3.9%
7 663
 
3.2%
Other values (11) 1786
 
8.7%
Latin
ValueCountFrequency (%)
B 7
16.7%
K 5
11.9%
S 5
11.9%
A 4
9.5%
Y 3
 
7.1%
H 3
 
7.1%
w 2
 
4.8%
U 2
 
4.8%
d 1
 
2.4%
a 1
 
2.4%
Other values (9) 9
21.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 29957
59.2%
ASCII 20670
40.8%
CJK Compat 1
 
< 0.1%
Math Operators 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7438
36.0%
1 2528
 
12.2%
- 1948
 
9.4%
2 1687
 
8.2%
4 1002
 
4.8%
3 973
 
4.7%
5 914
 
4.4%
6 893
 
4.3%
0 798
 
3.9%
7 663
 
3.2%
Other values (28) 1826
 
8.8%
Hangul
ValueCountFrequency (%)
부 2550
 
8.5%
산 2433
 
8.1%
지 2378
 
7.9%
동 2293
 
7.7%
광 2133
 
7.1%
구 2124
 
7.1%
역 2082
 
6.9%
시 2079
 
6.9%
번 1973
 
6.6%
층 680
 
2.3%
Other values (274) 9232
30.8%
CJK Compat
ValueCountFrequency (%)
㎡ 1
100.0%
Math Operators
ValueCountFrequency (%)
∼ 1
100.0%

도로명전체주소
Text

MISSING 

Distinct1612
Distinct (%)81.8%
Missing96
Missing (%)4.6%
Memory size16.3 KiB
2024-04-18T11:17:20.821252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length52
Mean length29.478437
Min length20

Characters and Unicode

Total characters58102
Distinct characters362
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1378 ?
Unique (%)69.9%

Sample

1st row부산광역시 중구 구덕로 80, 지상2층 (남포동6가)
2nd row부산광역시 중구 광복로12번길 9, 지상2층 (부평동1가)
3rd row부산광역시 중구 보수대로 16-1, 2층 (부평동2가)
4th row부산광역시 중구 구덕로 80, 2층 (남포동6가)
5th row부산광역시 중구 자갈치로37번길 4, 2층 (남포동5가)
ValueCountFrequency (%)
부산광역시 1971
 
17.8%
1층 340
 
3.1%
중구 263
 
2.4%
부산진구 222
 
2.0%
사상구 213
 
1.9%
동래구 202
 
1.8%
해운대구 169
 
1.5%
사하구 164
 
1.5%
금정구 139
 
1.3%
남구 135
 
1.2%
Other values (1534) 7246
65.5%
2024-04-18T11:17:21.221309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9691
 
16.7%
부 2480
 
4.3%
동 2477
 
4.3%
1 2424
 
4.2%
산 2363
 
4.1%
광 2247
 
3.9%
( 2147
 
3.7%
) 2147
 
3.7%
구 2127
 
3.7%
시 2056
 
3.5%
Other values (352) 27943
48.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 33966
58.5%
Space Separator 9691
 
16.7%
Decimal Number 8518
 
14.7%
Open Punctuation 2147
 
3.7%
Close Punctuation 2147
 
3.7%
Other Punctuation 1249
 
2.1%
Dash Punctuation 327
 
0.6%
Uppercase Letter 41
 
0.1%
Lowercase Letter 13
 
< 0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 2480
 
7.3%
동 2477
 
7.3%
산 2363
 
7.0%
광 2247
 
6.6%
구 2127
 
6.3%
시 2056
 
6.1%
역 1995
 
5.9%
로 1955
 
5.8%
층 987
 
2.9%
길 873
 
2.6%
Other values (312) 14406
42.4%
Lowercase Letter
ValueCountFrequency (%)
w 2
15.4%
l 1
7.7%
f 1
7.7%
o 1
7.7%
h 1
7.7%
t 1
7.7%
i 1
7.7%
e 1
7.7%
c 1
7.7%
n 1
7.7%
Other values (2) 2
15.4%
Decimal Number
ValueCountFrequency (%)
1 2424
28.5%
2 1342
15.8%
4 757
 
8.9%
6 709
 
8.3%
3 690
 
8.1%
0 602
 
7.1%
5 573
 
6.7%
8 533
 
6.3%
7 466
 
5.5%
9 422
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
A 8
19.5%
B 6
14.6%
S 5
12.2%
K 5
12.2%
L 3
 
7.3%
I 3
 
7.3%
F 3
 
7.3%
Y 3
 
7.3%
H 3
 
7.3%
U 2
 
4.9%
Other Punctuation
ValueCountFrequency (%)
, 1235
98.9%
: 13
 
1.0%
@ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
9691
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2147
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2147
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 327
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 33966
58.5%
Common 24082
41.4%
Latin 54
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 2480
 
7.3%
동 2477
 
7.3%
산 2363
 
7.0%
광 2247
 
6.6%
구 2127
 
6.3%
시 2056
 
6.1%
역 1995
 
5.9%
로 1955
 
5.8%
층 987
 
2.9%
길 873
 
2.6%
Other values (312) 14406
42.4%
Latin
ValueCountFrequency (%)
A 8
14.8%
B 6
11.1%
S 5
 
9.3%
K 5
 
9.3%
L 3
 
5.6%
I 3
 
5.6%
F 3
 
5.6%
Y 3
 
5.6%
H 3
 
5.6%
w 2
 
3.7%
Other values (12) 13
24.1%
Common
ValueCountFrequency (%)
9691
40.2%
1 2424
 
10.1%
( 2147
 
8.9%
) 2147
 
8.9%
2 1342
 
5.6%
, 1235
 
5.1%
4 757
 
3.1%
6 709
 
2.9%
3 690
 
2.9%
0 602
 
2.5%
Other values (8) 2338
 
9.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 33966
58.5%
ASCII 24136
41.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9691
40.2%
1 2424
 
10.0%
( 2147
 
8.9%
) 2147
 
8.9%
2 1342
 
5.6%
, 1235
 
5.1%
4 757
 
3.1%
6 709
 
2.9%
3 690
 
2.9%
0 602
 
2.5%
Other values (30) 2392
 
9.9%
Hangul
ValueCountFrequency (%)
부 2480
 
7.3%
동 2477
 
7.3%
산 2363
 
7.0%
광 2247
 
6.6%
구 2127
 
6.3%
시 2056
 
6.1%
역 1995
 
5.9%
로 1955
 
5.8%
층 987
 
2.9%
길 873
 
2.6%
Other values (312) 14406
42.4%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct474
Distinct (%)35.0%
Missing712
Missing (%)34.4%
Infinite0
Infinite (%)0.0%
Mean233207.26
Minimum46005
Maximum619952
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.3 KiB
2024-04-18T11:17:21.335345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46005
5-th percentile46291
Q147287
median48587
Q3604843
95-th percentile616841.5
Maximum619952
Range573947
Interquartile range (IQR)557556

Descriptive statistics

Standard deviation264403.97
Coefficient of variation (CV)1.1337725
Kurtosis-1.4757784
Mean233207.26
Median Absolute Deviation (MAD)1619
Skewness0.72495091
Sum3.1599583 × 108
Variance6.9909461 × 1010
MonotonicityNot monotonic
2024-04-18T11:17:21.443805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48981 65
 
3.1%
600046 54
 
2.6%
48980 34
 
1.6%
46964 27
 
1.3%
47286 23
 
1.1%
46968 21
 
1.0%
608020 19
 
0.9%
48266 18
 
0.9%
617806 16
 
0.8%
614847 16
 
0.8%
Other values (464) 1062
51.4%
(Missing) 712
34.4%
ValueCountFrequency (%)
46005 1
 
< 0.1%
46007 1
 
< 0.1%
46008 1
 
< 0.1%
46012 1
 
< 0.1%
46015 6
0.3%
46023 3
0.1%
46024 3
0.1%
46044 1
 
< 0.1%
46056 1
 
< 0.1%
46061 2
 
0.1%
ValueCountFrequency (%)
619952 1
 
< 0.1%
619903 1
 
< 0.1%
617837 4
0.2%
617833 1
 
< 0.1%
617829 3
0.1%
617822 1
 
< 0.1%
617819 2
0.1%
617816 3
0.1%
617815 4
0.2%
617809 1
 
< 0.1%

사업장명
Text

Distinct1311
Distinct (%)63.4%
Missing0
Missing (%)0.0%
Memory size16.3 KiB
2024-04-18T11:17:21.670188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length26
Mean length6.6613449
Min length2

Characters and Unicode

Total characters13769
Distinct characters527
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1002 ?
Unique (%)48.5%

Sample

1st row미야 게임랜드
2nd row제네시스 게임랜드
3rd row송골매 게임랜드
4th row시원 게임랜드
5th row왔다 게임랜드
ValueCountFrequency (%)
게임랜드 570
 
19.6%
스타게임랜드 34
 
1.2%
롯데게임랜드 22
 
0.8%
월드게임랜드 20
 
0.7%
삼성게임랜드 19
 
0.7%
게임장 18
 
0.6%
대박게임랜드 17
 
0.6%
인형뽑기 17
 
0.6%
골드게임랜드 16
 
0.6%
뽑기방 15
 
0.5%
Other values (1310) 2157
74.3%
2024-04-18T11:17:22.036831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
드 1575
 
11.4%
게 1559
 
11.3%
임 1559
 
11.3%
랜 1468
 
10.7%
838
 
6.1%
스 221
 
1.6%
기 215
 
1.6%
뽑 213
 
1.5%
이 156
 
1.1%
장 116
 
0.8%
Other values (517) 5849
42.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12158
88.3%
Space Separator 838
 
6.1%
Uppercase Letter 532
 
3.9%
Lowercase Letter 101
 
0.7%
Decimal Number 49
 
0.4%
Close Punctuation 30
 
0.2%
Open Punctuation 30
 
0.2%
Other Punctuation 11
 
0.1%
Letter Number 10
 
0.1%
Dash Punctuation 9
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
드 1575
 
13.0%
게 1559
 
12.8%
임 1559
 
12.8%
랜 1468
 
12.1%
스 221
 
1.8%
기 215
 
1.8%
뽑 213
 
1.8%
이 156
 
1.3%
장 116
 
1.0%
대 110
 
0.9%
Other values (456) 4966
40.8%
Uppercase Letter
ValueCountFrequency (%)
A 50
 
9.4%
M 46
 
8.6%
E 43
 
8.1%
G 39
 
7.3%
O 37
 
7.0%
P 35
 
6.6%
K 30
 
5.6%
N 29
 
5.5%
D 27
 
5.1%
S 21
 
3.9%
Other values (16) 175
32.9%
Lowercase Letter
ValueCountFrequency (%)
n 17
16.8%
u 12
11.9%
s 9
8.9%
e 9
8.9%
h 8
7.9%
o 8
7.9%
a 8
7.9%
y 6
 
5.9%
t 5
 
5.0%
i 5
 
5.0%
Other values (7) 14
13.9%
Decimal Number
ValueCountFrequency (%)
2 20
40.8%
1 14
28.6%
0 4
 
8.2%
8 4
 
8.2%
3 4
 
8.2%
4 2
 
4.1%
7 1
 
2.0%
Other Punctuation
ValueCountFrequency (%)
. 5
45.5%
& 3
27.3%
! 2
 
18.2%
# 1
 
9.1%
Letter Number
ValueCountFrequency (%)
Ⅱ 9
90.0%
Ⅰ 1
 
10.0%
Space Separator
ValueCountFrequency (%)
838
100.0%
Close Punctuation
ValueCountFrequency (%)
) 30
100.0%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12155
88.3%
Common 968
 
7.0%
Latin 643
 
4.7%
Han 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
드 1575
 
13.0%
게 1559
 
12.8%
임 1559
 
12.8%
랜 1468
 
12.1%
스 221
 
1.8%
기 215
 
1.8%
뽑 213
 
1.8%
이 156
 
1.3%
장 116
 
1.0%
대 110
 
0.9%
Other values (454) 4963
40.8%
Latin
ValueCountFrequency (%)
A 50
 
7.8%
M 46
 
7.2%
E 43
 
6.7%
G 39
 
6.1%
O 37
 
5.8%
P 35
 
5.4%
K 30
 
4.7%
N 29
 
4.5%
D 27
 
4.2%
S 21
 
3.3%
Other values (35) 286
44.5%
Common
ValueCountFrequency (%)
838
86.6%
) 30
 
3.1%
( 30
 
3.1%
2 20
 
2.1%
1 14
 
1.4%
- 9
 
0.9%
. 5
 
0.5%
0 4
 
0.4%
8 4
 
0.4%
3 4
 
0.4%
Other values (6) 10
 
1.0%
Han
ValueCountFrequency (%)
天 2
66.7%
水 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12155
88.3%
ASCII 1601
 
11.6%
Number Forms 10
 
0.1%
CJK 3
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
드 1575
 
13.0%
게 1559
 
12.8%
임 1559
 
12.8%
랜 1468
 
12.1%
스 221
 
1.8%
기 215
 
1.8%
뽑 213
 
1.8%
이 156
 
1.3%
장 116
 
1.0%
대 110
 
0.9%
Other values (454) 4963
40.8%
ASCII
ValueCountFrequency (%)
838
52.3%
A 50
 
3.1%
M 46
 
2.9%
E 43
 
2.7%
G 39
 
2.4%
O 37
 
2.3%
P 35
 
2.2%
K 30
 
1.9%
) 30
 
1.9%
( 30
 
1.9%
Other values (49) 423
26.4%
Number Forms
ValueCountFrequency (%)
Ⅱ 9
90.0%
Ⅰ 1
 
10.0%
CJK
ValueCountFrequency (%)
天 2
66.7%
水 1
33.3%

최종수정시점
Real number (ℝ)

Distinct2066
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0143891 × 1013
Minimum2.0080317 × 1013
Maximum2.0210118 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.3 KiB
2024-04-18T11:17:22.158592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0080317 × 1013
5-th percentile2.0090702 × 1013
Q12.0110831 × 1013
median2.0140514 × 1013
Q32.0180613 × 1013
95-th percentile2.0200424 × 1013
Maximum2.0210118 × 1013
Range1.2980102 × 1011
Interquartile range (IQR)6.9781519 × 1010

Descriptive statistics

Standard deviation3.6925902 × 1010
Coefficient of variation (CV)0.0018331067
Kurtosis-1.3736222
Mean2.0143891 × 1013
Median Absolute Deviation (MAD)3.0497974 × 1010
Skewness0.040561126
Sum4.1637422 × 1016
Variance1.3635222 × 1021
MonotonicityNot monotonic
2024-04-18T11:17:22.276649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20161031124158 2
 
0.1%
20190709145301 1
 
< 0.1%
20140321115100 1
 
< 0.1%
20180615084418 1
 
< 0.1%
20171221142649 1
 
< 0.1%
20140321134124 1
 
< 0.1%
20140321130006 1
 
< 0.1%
20160422144616 1
 
< 0.1%
20170621141858 1
 
< 0.1%
20180424132436 1
 
< 0.1%
Other values (2056) 2056
99.5%
ValueCountFrequency (%)
20080317152236 1
< 0.1%
20080328104547 1
< 0.1%
20080404132308 1
< 0.1%
20080502114137 1
< 0.1%
20080507101826 1
< 0.1%
20080508153229 1
< 0.1%
20080521175816 1
< 0.1%
20080527131413 1
< 0.1%
20080528142313 1
< 0.1%
20080603160740 1
< 0.1%
ValueCountFrequency (%)
20210118175550 1
< 0.1%
20210115181516 1
< 0.1%
20210115105421 1
< 0.1%
20210113102517 1
< 0.1%
20210107152746 1
< 0.1%
20201231170130 1
< 0.1%
20201229132407 1
< 0.1%
20201229132358 1
< 0.1%
20201229092029 1
< 0.1%
20201223201448 1
< 0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size16.3 KiB
I
1670 
U
397 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 1670
80.8%
U 397
 
19.2%

Length

2024-04-18T11:17:22.384948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:17:22.463119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 1670
80.8%
u 397
 
19.2%

데이터갱신일자
Date

Distinct313
Distinct (%)15.1%
Missing0
Missing (%)0.0%
Memory size16.3 KiB
Minimum2018-08-31 23:59:59
Maximum2021-01-20 02:40:00
2024-04-18T11:17:22.560738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T11:17:22.671740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2067
Missing (%)100.0%
Memory size18.3 KiB

좌표정보(x)
Real number (ℝ)

Distinct1202
Distinct (%)58.3%
Missing4
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean387411.41
Minimum369071.6
Maximum407736.73
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.3 KiB
2024-04-18T11:17:22.782696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum369071.6
5-th percentile379421.24
Q1383050.68
median387525.37
Q3391088.85
95-th percentile397204.19
Maximum407736.73
Range38665.127
Interquartile range (IQR)8038.1696

Descriptive statistics

Standard deviation5418.1475
Coefficient of variation (CV)0.013985514
Kurtosis0.019534074
Mean387411.41
Median Absolute Deviation (MAD)3763.6215
Skewness0.24761537
Sum7.9922974 × 108
Variance29356323
MonotonicityNot monotonic
2024-04-18T11:17:22.895833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
384768.319655951 16
 
0.8%
384697.119071054 15
 
0.7%
384664.149882792 15
 
0.7%
389719.695026166 14
 
0.7%
384771.402142749 13
 
0.6%
384709.387003462 11
 
0.5%
387415.377765986 11
 
0.5%
392813.826326522 10
 
0.5%
384701.085428741 10
 
0.5%
381901.570968214 10
 
0.5%
Other values (1192) 1938
93.8%
ValueCountFrequency (%)
369071.601644319 1
< 0.1%
371181.352545926 1
< 0.1%
371224.803887136 1
< 0.1%
371268.326316118 1
< 0.1%
371306.33392421 1
< 0.1%
371347.461027774 1
< 0.1%
371385.405359398 1
< 0.1%
373508.184426628 1
< 0.1%
373567.128867348 1
< 0.1%
373568.211113191 1
< 0.1%
ValueCountFrequency (%)
407736.728677283 2
0.1%
406963.422489117 1
 
< 0.1%
403186.744629224 1
 
< 0.1%
401783.616316966 1
 
< 0.1%
401746.841355307 1
 
< 0.1%
401701.756483606 1
 
< 0.1%
401689.681830399 1
 
< 0.1%
401672.154924514 1
 
< 0.1%
401669.0 2
0.1%
401607.021689001 3
0.1%

좌표정보(y)
Real number (ℝ)

Distinct1202
Distinct (%)58.3%
Missing4
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean186723.3
Minimum173936.75
Maximum206483.75
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.3 KiB
2024-04-18T11:17:23.008297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum173936.75
5-th percentile179036.74
Q1181922.23
median186879.16
Q3191026.78
95-th percentile194687.17
Maximum206483.75
Range32546.994
Interquartile range (IQR)9104.5564

Descriptive statistics

Standard deviation5516.5179
Coefficient of variation (CV)0.029543812
Kurtosis0.00036205642
Mean186723.3
Median Absolute Deviation (MAD)4263.8204
Skewness0.22396688
Sum3.8521016 × 108
Variance30431970
MonotonicityNot monotonic
2024-04-18T11:17:23.114846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
179566.176779483 16
 
0.8%
179510.26293209 15
 
0.7%
179582.676484563 15
 
0.7%
189529.091207964 14
 
0.7%
179510.642128481 13
 
0.6%
179612.05593001 11
 
0.5%
185929.781093043 11
 
0.5%
187410.981398455 10
 
0.5%
179594.397383752 10
 
0.5%
191643.944286403 10
 
0.5%
Other values (1192) 1938
93.8%
ValueCountFrequency (%)
173936.752691561 1
< 0.1%
173961.914773076 1
< 0.1%
173994.386578688 2
0.1%
174002.976785704 1
< 0.1%
174676.412428464 2
0.1%
174793.427536922 1
< 0.1%
174848.053190733 2
0.1%
174960.995351469 1
< 0.1%
174968.895403614 2
0.1%
174972.798296858 1
< 0.1%
ValueCountFrequency (%)
206483.746356107 1
< 0.1%
206102.964822493 1
< 0.1%
205995.903772118 1
< 0.1%
205874.417551847 2
0.1%
205417.978411701 1
< 0.1%
205159.486624298 1
< 0.1%
204792.687443932 1
< 0.1%
204760.304165816 1
< 0.1%
204754.247373568 1
< 0.1%
204752.577161453 1
< 0.1%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size16.3 KiB
청소년게임제공업
2067 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
청소년게임제공업 2067
100.0%

Length

2024-04-18T11:17:23.217463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:17:23.292523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
청소년게임제공업 2067
100.0%

문화사업자구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size16.3 KiB
유통관련업
2067 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 2067
100.0%

Length

2024-04-18T11:17:23.371248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:17:23.445864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 2067
100.0%

총층수
Real number (ℝ)

MISSING 

Distinct24
Distinct (%)2.5%
Missing1121
Missing (%)54.2%
Infinite0
Infinite (%)0.0%
Mean5.1680761
Minimum1
Maximum54
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.3 KiB
2024-04-18T11:17:23.523193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q36
95-th percentile11
Maximum54
Range53
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.6881443
Coefficient of variation (CV)0.7136397
Kurtosis45.677425
Mean5.1680761
Median Absolute Deviation (MAD)2
Skewness4.6658093
Sum4889
Variance13.602408
MonotonicityNot monotonic
2024-04-18T11:17:23.626053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
5 201
 
9.7%
4 167
 
8.1%
3 123
 
6.0%
6 101
 
4.9%
2 94
 
4.5%
1 65
 
3.1%
7 51
 
2.5%
9 49
 
2.4%
11 23
 
1.1%
10 22
 
1.1%
Other values (14) 50
 
2.4%
(Missing) 1121
54.2%
ValueCountFrequency (%)
1 65
 
3.1%
2 94
4.5%
3 123
6.0%
4 167
8.1%
5 201
9.7%
6 101
4.9%
7 51
 
2.5%
8 15
 
0.7%
9 49
 
2.4%
10 22
 
1.1%
ValueCountFrequency (%)
54 1
 
< 0.1%
42 1
 
< 0.1%
29 1
 
< 0.1%
24 1
 
< 0.1%
22 1
 
< 0.1%
21 1
 
< 0.1%
20 1
 
< 0.1%
18 2
0.1%
17 3
0.1%
15 4
0.2%

주변환경명
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size16.3 KiB
<NA>
1562 
기타
263 
유흥업소밀집지역
176 
주택가주변
 
34
학교정화(상대)
 
22
Other values (2)
 
10

Length

Max length8
Median length4
Mean length4.1528786
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1562
75.6%
기타 263
 
12.7%
유흥업소밀집지역 176
 
8.5%
주택가주변 34
 
1.6%
학교정화(상대) 22
 
1.1%
아파트지역 8
 
0.4%
학교정화(절대) 2
 
0.1%

Length

2024-04-18T11:17:23.738891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:17:23.837134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1562
75.6%
기타 263
 
12.7%
유흥업소밀집지역 176
 
8.5%
주택가주변 34
 
1.6%
학교정화(상대 22
 
1.1%
아파트지역 8
 
0.4%
학교정화(절대 2
 
0.1%

제작취급품목내용
Text

MISSING 

Distinct1244
Distinct (%)88.5%
Missing661
Missing (%)32.0%
Memory size16.3 KiB
2024-04-18T11:17:24.054657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length129
Median length85
Mean length16.931721
Min length2

Characters and Unicode

Total characters23806
Distinct characters554
Distinct categories13 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1152 ?
Unique (%)81.9%

Sample

1st row50대(아수라 25대, 뭐하노 25대)
2nd row54대(더블 위자드 20대, 제네시스2017 20대, 어디GO(고) 14대)
3rd row화신대전
4th row골드해적
5th row화신대전 24대, 코스모제로 16대
ValueCountFrequency (%)
1대 102
 
2.7%
럭셔리 78
 
2.0%
40대 75
 
2.0%
20대 60
 
1.6%
자이언트 45
 
1.2%
외 40
 
1.0%
뉴 36
 
0.9%
자이언츠 32
 
0.8%
곰탱이 30
 
0.8%
30대 30
 
0.8%
Other values (1874) 3286
86.2%
2024-04-18T11:17:24.405190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2414
 
10.1%
, 1135
 
4.8%
대 930
 
3.9%
1 921
 
3.9%
0 911
 
3.8%
) 877
 
3.7%
( 875
 
3.7%
2 767
 
3.2%
이 715
 
3.0%
스 578
 
2.4%
Other values (544) 13683
57.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13412
56.3%
Decimal Number 3787
 
15.9%
Space Separator 2414
 
10.1%
Other Punctuation 1192
 
5.0%
Close Punctuation 880
 
3.7%
Open Punctuation 878
 
3.7%
Uppercase Letter 662
 
2.8%
Lowercase Letter 374
 
1.6%
Dash Punctuation 197
 
0.8%
Letter Number 5
 
< 0.1%
Other values (3) 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 930
 
6.9%
이 715
 
5.3%
스 578
 
4.3%
트 335
 
2.5%
리 328
 
2.4%
마 236
 
1.8%
드 231
 
1.7%
자 214
 
1.6%
토 213
 
1.6%
언 199
 
1.5%
Other values (469) 9433
70.3%
Uppercase Letter
ValueCountFrequency (%)
C 102
15.4%
A 90
13.6%
N 72
10.9%
S 42
 
6.3%
E 39
 
5.9%
R 35
 
5.3%
T 34
 
5.1%
O 33
 
5.0%
P 30
 
4.5%
I 23
 
3.5%
Other values (15) 162
24.5%
Lowercase Letter
ValueCountFrequency (%)
a 49
13.1%
e 43
11.5%
c 38
 
10.2%
n 31
 
8.3%
o 29
 
7.8%
i 20
 
5.3%
r 18
 
4.8%
s 17
 
4.5%
t 15
 
4.0%
h 14
 
3.7%
Other values (13) 100
26.7%
Decimal Number
ValueCountFrequency (%)
1 921
24.3%
0 911
24.1%
2 767
20.3%
3 290
 
7.7%
4 275
 
7.3%
5 268
 
7.1%
6 110
 
2.9%
9 90
 
2.4%
8 89
 
2.4%
7 66
 
1.7%
Other Punctuation
ValueCountFrequency (%)
, 1135
95.2%
. 44
 
3.7%
: 8
 
0.7%
' 2
 
0.2%
/ 2
 
0.2%
; 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 877
99.7%
] 3
 
0.3%
Open Punctuation
ValueCountFrequency (%)
( 875
99.7%
[ 3
 
0.3%
Math Symbol
ValueCountFrequency (%)
= 2
66.7%
+ 1
33.3%
Space Separator
ValueCountFrequency (%)
2414
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 197
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 5
100.0%
Control
ValueCountFrequency (%)
1
100.0%
Other Symbol
ValueCountFrequency (%)
★ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13412
56.3%
Common 9353
39.3%
Latin 1041
 
4.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 930
 
6.9%
이 715
 
5.3%
스 578
 
4.3%
트 335
 
2.5%
리 328
 
2.4%
마 236
 
1.8%
드 231
 
1.7%
자 214
 
1.6%
토 213
 
1.6%
언 199
 
1.5%
Other values (469) 9433
70.3%
Latin
ValueCountFrequency (%)
C 102
 
9.8%
A 90
 
8.6%
N 72
 
6.9%
a 49
 
4.7%
e 43
 
4.1%
S 42
 
4.0%
E 39
 
3.7%
c 38
 
3.7%
R 35
 
3.4%
T 34
 
3.3%
Other values (39) 497
47.7%
Common
ValueCountFrequency (%)
2414
25.8%
, 1135
12.1%
1 921
 
9.8%
0 911
 
9.7%
) 877
 
9.4%
( 875
 
9.4%
2 767
 
8.2%
3 290
 
3.1%
4 275
 
2.9%
5 268
 
2.9%
Other values (16) 620
 
6.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13412
56.3%
ASCII 10388
43.6%
Number Forms 5
 
< 0.1%
Misc Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2414
23.2%
, 1135
10.9%
1 921
 
8.9%
0 911
 
8.8%
) 877
 
8.4%
( 875
 
8.4%
2 767
 
7.4%
3 290
 
2.8%
4 275
 
2.6%
5 268
 
2.6%
Other values (63) 1655
15.9%
Hangul
ValueCountFrequency (%)
대 930
 
6.9%
이 715
 
5.3%
스 578
 
4.3%
트 335
 
2.5%
리 328
 
2.4%
마 236
 
1.8%
드 231
 
1.7%
자 214
 
1.6%
토 213
 
1.6%
언 199
 
1.5%
Other values (469) 9433
70.3%
Number Forms
ValueCountFrequency (%)
Ⅱ 5
100.0%
Misc Symbols
ValueCountFrequency (%)
★ 1
100.0%

시설면적
Real number (ℝ)

SKEWED 

Distinct1397
Distinct (%)67.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean154.20569
Minimum6.6
Maximum26833
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.3 KiB
2024-04-18T11:17:24.523947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6.6
5-th percentile28.455
Q189.04
median130.65
Q3176.02
95-th percentile302.496
Maximum26833
Range26826.4
Interquartile range (IQR)86.98

Descriptive statistics

Standard deviation593.40907
Coefficient of variation (CV)3.8481657
Kurtosis1980.2562
Mean154.20569
Median Absolute Deviation (MAD)43.65
Skewness44.031334
Sum318743.17
Variance352134.32
MonotonicityNot monotonic
2024-04-18T11:17:24.639914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33.0 14
 
0.7%
30.0 10
 
0.5%
114.87 9
 
0.4%
286.94 8
 
0.4%
188.0 7
 
0.3%
50.0 7
 
0.3%
179.73 7
 
0.3%
66.0 7
 
0.3%
140.16 6
 
0.3%
94.07 6
 
0.3%
Other values (1387) 1986
96.1%
ValueCountFrequency (%)
6.6 2
0.1%
7.35 1
< 0.1%
9.42 1
< 0.1%
9.9 1
< 0.1%
9.98 1
< 0.1%
10.0 1
< 0.1%
10.4 1
< 0.1%
11.08 1
< 0.1%
12.0 2
0.1%
12.3 1
< 0.1%
ValueCountFrequency (%)
26833.0 1
< 0.1%
770.63 1
< 0.1%
722.27 1
< 0.1%
715.36 1
< 0.1%
611.47 1
< 0.1%
566.31 1
< 0.1%
565.7 1
< 0.1%
551.76 1
< 0.1%
545.28 1
< 0.1%
533.69 1
< 0.1%

지상층수
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)1.3%
Missing741
Missing (%)35.8%
Infinite0
Infinite (%)0.0%
Mean2.7466063
Minimum1
Maximum49
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.3 KiB
2024-04-18T11:17:24.758529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile8
Maximum49
Range48
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.7806419
Coefficient of variation (CV)1.0123919
Kurtosis62.857374
Mean2.7466063
Median Absolute Deviation (MAD)1
Skewness5.2060842
Sum3642
Variance7.7319696
MonotonicityNot monotonic
2024-04-18T11:17:24.868533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
1 562
27.2%
2 303
14.7%
3 128
 
6.2%
4 106
 
5.1%
5 75
 
3.6%
6 43
 
2.1%
7 37
 
1.8%
10 25
 
1.2%
8 21
 
1.0%
9 11
 
0.5%
Other values (7) 15
 
0.7%
(Missing) 741
35.8%
ValueCountFrequency (%)
1 562
27.2%
2 303
14.7%
3 128
 
6.2%
4 106
 
5.1%
5 75
 
3.6%
6 43
 
2.1%
7 37
 
1.8%
8 21
 
1.0%
9 11
 
0.5%
10 25
 
1.2%
ValueCountFrequency (%)
49 1
 
< 0.1%
24 1
 
< 0.1%
20 1
 
< 0.1%
16 3
 
0.1%
15 2
 
0.1%
14 1
 
< 0.1%
12 6
 
0.3%
10 25
1.2%
9 11
0.5%
8 21
1.0%

지하층수
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)1.2%
Missing1488
Missing (%)72.0%
Infinite0
Infinite (%)0.0%
Mean1.1917098
Minimum0
Maximum6
Zeros33
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size18.3 KiB
2024-04-18T11:17:24.948672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile2
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.78228683
Coefficient of variation (CV)0.65644068
Kurtosis12.795588
Mean1.1917098
Median Absolute Deviation (MAD)0
Skewness3.0878353
Sum690
Variance0.61197268
MonotonicityNot monotonic
2024-04-18T11:17:25.037147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 458
 
22.2%
2 61
 
3.0%
0 33
 
1.6%
3 10
 
0.5%
5 8
 
0.4%
4 7
 
0.3%
6 2
 
0.1%
(Missing) 1488
72.0%
ValueCountFrequency (%)
0 33
 
1.6%
1 458
22.2%
2 61
 
3.0%
3 10
 
0.5%
4 7
 
0.3%
5 8
 
0.4%
6 2
 
0.1%
ValueCountFrequency (%)
6 2
 
0.1%
5 8
 
0.4%
4 7
 
0.3%
3 10
 
0.5%
2 61
 
3.0%
1 458
22.2%
0 33
 
1.6%

건물용도명
Categorical

IMBALANCE 

Distinct17
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size16.3 KiB
<NA>
1178 
근린생활시설
732 
판매시설
 
99
기타
 
17
유통시설
 
8
Other values (12)
 
33

Length

Max length12
Median length4
Mean length4.6995646
Min length2

Unique

Unique7 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1178
57.0%
근린생활시설 732
35.4%
판매시설 99
 
4.8%
기타 17
 
0.8%
유통시설 8
 
0.4%
숙박시설 8
 
0.4%
문화시설 6
 
0.3%
유기장 5
 
0.2%
환경위생시설 4
 
0.2%
단독주택 3
 
0.1%
Other values (7) 7
 
0.3%

Length

2024-04-18T11:17:25.138912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 1178
57.0%
근린생활시설 732
35.4%
판매시설 99
 
4.8%
기타 17
 
0.8%
유통시설 8
 
0.4%
숙박시설 8
 
0.4%
문화시설 6
 
0.3%
유기장 5
 
0.2%
환경위생시설 4
 
0.2%
단독주택 3
 
0.1%
Other values (7) 7
 
0.3%

통로너비
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2067
Missing (%)100.0%
Memory size18.3 KiB

조명시설조도
Real number (ℝ)

MISSING 

Distinct96
Distinct (%)48.5%
Missing1869
Missing (%)90.4%
Infinite0
Infinite (%)0.0%
Mean92.064646
Minimum40
Maximum610
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.3 KiB
2024-04-18T11:17:25.238413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum40
5-th percentile40
Q141
median56.75
Q393.35
95-th percentile259.65
Maximum610
Range570
Interquartile range (IQR)52.35

Descriptive statistics

Standard deviation85.580213
Coefficient of variation (CV)0.92956652
Kurtosis9.151203
Mean92.064646
Median Absolute Deviation (MAD)16.75
Skewness2.7026635
Sum18228.8
Variance7323.9729
MonotonicityNot monotonic
2024-04-18T11:17:25.348231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40.0 46
 
2.2%
42.0 13
 
0.6%
41.0 6
 
0.3%
80.0 5
 
0.2%
44.0 4
 
0.2%
61.0 4
 
0.2%
45.0 4
 
0.2%
55.0 4
 
0.2%
43.0 3
 
0.1%
69.0 3
 
0.1%
Other values (86) 106
 
5.1%
(Missing) 1869
90.4%
ValueCountFrequency (%)
40.0 46
2.2%
40.9 1
 
< 0.1%
41.0 6
 
0.3%
42.0 13
 
0.6%
43.0 3
 
0.1%
44.0 4
 
0.2%
45.0 4
 
0.2%
46.0 1
 
< 0.1%
47.0 2
 
0.1%
48.0 1
 
< 0.1%
ValueCountFrequency (%)
610.0 1
< 0.1%
438.0 1
< 0.1%
422.0 1
< 0.1%
357.0 1
< 0.1%
356.0 1
< 0.1%
343.0 1
< 0.1%
319.0 1
< 0.1%
311.0 1
< 0.1%
296.0 1
< 0.1%
269.0 1
< 0.1%

노래방실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2067
Missing (%)100.0%
Memory size18.3 KiB

청소년실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2067
Missing (%)100.0%
Memory size18.3 KiB

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2067
Missing (%)100.0%
Memory size18.3 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2067
Missing (%)100.0%
Memory size18.3 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2067
Missing (%)100.0%
Memory size18.3 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2067
Missing (%)100.0%
Memory size18.3 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2067
Missing (%)100.0%
Memory size18.3 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2067
Missing (%)100.0%
Memory size18.3 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2067
Missing (%)100.0%
Memory size18.3 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2067
Missing (%)100.0%
Memory size18.3 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2067
Missing (%)100.0%
Memory size18.3 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2067
Missing (%)100.0%
Memory size18.3 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2067
Missing (%)100.0%
Memory size18.3 KiB

총게임기수
Real number (ℝ)

MISSING 

Distinct79
Distinct (%)6.9%
Missing930
Missing (%)45.0%
Infinite0
Infinite (%)0.0%
Mean34.245383
Minimum0
Maximum168
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size18.3 KiB
2024-04-18T11:17:25.454237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q115
median40
Q350
95-th percentile64
Maximum168
Range168
Interquartile range (IQR)35

Descriptive statistics

Standard deviation19.712202
Coefficient of variation (CV)0.57561634
Kurtosis1.6290148
Mean34.245383
Median Absolute Deviation (MAD)11
Skewness0.54500875
Sum38937
Variance388.5709
MonotonicityNot monotonic
2024-04-18T11:17:25.568644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40 323
 
15.6%
50 146
 
7.1%
60 59
 
2.9%
10 49
 
2.4%
8 35
 
1.7%
12 28
 
1.4%
15 23
 
1.1%
11 22
 
1.1%
20 22
 
1.1%
6 22
 
1.1%
Other values (69) 408
19.7%
(Missing) 930
45.0%
ValueCountFrequency (%)
0 1
 
< 0.1%
1 3
 
0.1%
2 2
 
0.1%
3 1
 
< 0.1%
4 14
 
0.7%
5 21
1.0%
6 22
1.1%
7 14
 
0.7%
8 35
1.7%
9 22
1.1%
ValueCountFrequency (%)
168 1
 
< 0.1%
123 1
 
< 0.1%
103 1
 
< 0.1%
100 2
 
0.1%
96 1
 
< 0.1%
94 1
 
< 0.1%
90 4
 
0.2%
83 1
 
< 0.1%
80 11
0.5%
77 1
 
< 0.1%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2067
Missing (%)100.0%
Memory size18.3 KiB

제공게임물명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size16.3 KiB
전체이용가
1872 
<NA>
189 
청소년이용불가
 
6

Length

Max length7
Median length5
Mean length4.9143687
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전체이용가 1872
90.6%
<NA> 189
 
9.1%
청소년이용불가 6
 
0.3%

Length

2024-04-18T11:17:25.684934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T11:17:25.780249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전체이용가 1872
90.6%
na 189
 
9.1%
청소년이용불가 6
 
0.3%

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2067
Missing (%)100.0%
Memory size18.3 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2067
Missing (%)100.0%
Memory size18.3 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2067
Missing (%)100.0%
Memory size18.3 KiB

지역구분명
Categorical

IMBALANCE 

Distinct11
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size16.3 KiB
<NA>
1404 
일반상업지역
410 
일반주거지역
 
97
상업지역
 
67
준주거지역
 
55
Other values (6)
 
34

Length

Max length6
Median length4
Mean length4.537494
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1404
67.9%
일반상업지역 410
 
19.8%
일반주거지역 97
 
4.7%
상업지역 67
 
3.2%
준주거지역 55
 
2.7%
근린상업지역 9
 
0.4%
주거지역 9
 
0.4%
준공업지역 6
 
0.3%
중심상업지역 5
 
0.2%
자연녹지지역 4
 
0.2%

Length

2024-04-18T11:17:25.894875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 1404
67.9%
일반상업지역 410
 
19.8%
일반주거지역 97
 
4.7%
상업지역 67
 
3.2%
준주거지역 55
 
2.7%
근린상업지역 9
 
0.4%
주거지역 9
 
0.4%
준공업지역 6
 
0.3%
중심상업지역 5
 
0.2%
자연녹지지역 4
 
0.2%

Unnamed: 59
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2067
Missing (%)100.0%
Memory size18.3 KiB

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명Unnamed: 59
01청소년게임제공업03_05_07_P3250000CDFF224114201900000620190425<NA>3폐업3폐업20190709<NA><NA><NA><NA><NA><NA>부산광역시 중구 남포동6가 74-1번지부산광역시 중구 구덕로 80, 지상2층 (남포동6가)48981미야 게임랜드20190709145301U2019-07-11 02:40:00.0<NA>384771.402143179510.642128청소년게임제공업유통관련업<NA><NA>50대(아수라 25대, 뭐하노 25대)120.5<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>50<NA>전체이용가<NA><NA><NA>일반상업지역<NA>
12청소년게임제공업03_05_07_P3250000CDFF224114201900000720190425<NA>3폐업3폐업20201007<NA><NA><NA><NA><NA><NA>부산광역시 중구 부평동1가 41-2부산광역시 중구 광복로12번길 9, 지상2층 (부평동1가)48980제네시스 게임랜드20201007142429U2020-10-09 02:40:00.0<NA>384709.387003179612.05593청소년게임제공업유통관련업<NA><NA>54대(더블 위자드 20대, 제네시스2017 20대, 어디GO(고) 14대)153.59<NA><NA>판매시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>50<NA>전체이용가<NA><NA><NA>일반상업지역<NA>
23청소년게임제공업03_05_07_P3250000CDFF224114201700001120170501<NA>3폐업3폐업20200217<NA><NA><NA><NA><NA><NA>부산광역시 중구 부평동2가 45-1번지부산광역시 중구 보수대로 16-1, 2층 (부평동2가)48980송골매 게임랜드20200217144506U2020-02-19 02:40:00.0<NA>384617.131962179590.603168청소년게임제공업유통관련업<NA><NA>화신대전176.051근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>31<NA>전체이용가<NA><NA><NA>일반상업지역<NA>
34청소년게임제공업03_05_07_P3250000CDFF224114201700001220170501<NA>3폐업3폐업20171017<NA><NA><NA><NA><NA><NA>부산광역시 중구 남포동6가 74-1번지부산광역시 중구 구덕로 80, 2층 (남포동6가)48981시원 게임랜드20171017164830I2018-08-31 23:59:59.0<NA>384771.402143179510.642128청소년게임제공업유통관련업<NA><NA>골드해적93.561근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>40<NA>전체이용가<NA><NA><NA><NA><NA>
45청소년게임제공업03_05_07_P3250000CDFF224114201700001920170714<NA>3폐업3폐업20171114<NA><NA><NA><NA><NA><NA>부산광역시 중구 남포동5가 88번지부산광역시 중구 자갈치로37번길 4, 2층 (남포동5가)48983왔다 게임랜드20171114175728I2018-08-31 23:59:59.0<NA>384910.466574179447.226506청소년게임제공업유통관련업<NA><NA><NA>120.3961<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>30<NA>전체이용가<NA><NA><NA><NA><NA>
56청소년게임제공업03_05_07_P3250000CDFF224114201700002120170808<NA>3폐업3폐업20180611<NA><NA><NA><NA><NA><NA>부산광역시 중구 남포동6가 93-1번지부산광역시 중구 비프광장로 16, 1층 (남포동6가)48981팡팡 게임랜드20180611151748I2018-08-31 23:59:59.0<NA>384768.319656179566.176779청소년게임제공업유통관련업<NA><NA><NA>128.7<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>60<NA>전체이용가<NA><NA><NA><NA><NA>
67청소년게임제공업03_05_07_P3250000CDFF224114201700001420170525<NA>3폐업3폐업20180402<NA><NA><NA><NA><NA><NA>부산광역시 중구 남포동6가 106-1번지부산광역시 중구 비프광장로 4-2, 2층 (남포동6가, 크로바게임랜드)48981아이존20180402161840I2018-08-31 23:59:59.0<NA>384660.954906179549.166639청소년게임제공업유통관련업3<NA>화신대전 24대, 코스모제로 16대126.983<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>40<NA>전체이용가<NA><NA><NA><NA><NA>
78청소년게임제공업03_05_07_P3250000CDFF224114201700003420171214<NA>3폐업3폐업20190630<NA><NA><NA><NA><NA><NA>부산광역시 중구 부평동2가 27-1번지부산광역시 중구 부평1길 8, 1층 (부평동2가)48979뽑기콜20190711152123U2019-07-13 02:40:00.0<NA>384646.787111179729.856171청소년게임제공업유통관련업1유흥업소밀집지역전체이용가게임물 7대(코샵2, 골든박스1, 부키부키3, 마트크레인1)38.681<NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>7<NA>전체이용가<NA><NA><NA><NA><NA>
89청소년게임제공업03_05_07_P3250000CDFF224114201700003520171218<NA>3폐업3폐업20190411<NA><NA><NA><NA><NA><NA>부산광역시 중구 남포동6가 94번지부산광역시 중구 비프광장로 16, 지상1층 (남포동6가)48981매직 게임랜드20190411163612U2019-04-13 02:40:00.0<NA>384763.821916179580.82359청소년게임제공업유통관련업9유흥업소밀집지역전체이용가 44대(캡틴클래스30, 마크-파이브9,세븐럭삼국지5)246.6672판매시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>44<NA>전체이용가<NA><NA><NA>일반상업지역<NA>
910청소년게임제공업03_05_07_P3250000CDFF224114201700003620171226<NA>3폐업3폐업20200519<NA><NA><NA><NA><NA><NA>부산광역시 중구 남포동6가 99번지 아카데미빌딩부산광역시 중구 비프광장로 12, 아카데미빌딩 지하1층 (남포동6가)48981조은 게임랜드20200519105404U2020-05-21 02:40:00.0<NA>384717.473282179565.899234청소년게임제공업유통관련업9유흥업소밀집지역백상어 20대, 소흑천 60대154.3672판매시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>80<NA>전체이용가<NA><NA><NA>일반상업지역<NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명Unnamed: 59
20572058청소년게임제공업03_05_07_P3330000CDFF224114201100002320110721201110104취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 반여동 890-4번지 지하1층부산광역시 해운대구 선수촌로 175 (반여동,지하1층)<NA>챔피언게임랜드20111011094015I2018-08-31 23:59:59.0<NA>393292.103234191983.067767청소년게임제공업유통관련업2기타딥 시어(deep sear)187.8921근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA>준공업지역<NA>
20582059청소년게임제공업03_05_07_P3330000CDFF224114201100002420110817201112124취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 중동 1394-352번지 지상1층부산광역시 해운대구 중동1로 46 (중동)612847골든게임랜드20111212175809I2018-08-31 23:59:59.0<NA>397047.443339186844.787912청소년게임제공업유통관련업6기타<NA>184.4561근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA>상업지역<NA>
20592060청소년게임제공업03_05_07_P3330000CDFF224114202000000220200303202006054취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 반여동 903-11번지 2층부산광역시 해운대구 선수촌로165번길 8, 2층 (반여동)48032일동게임랜드20200608175637U2020-06-10 02:40:00.0<NA>393220.982502191930.66198청소년게임제공업유통관련업<NA><NA>구룡영웅전(9)대해적비밀의섬(30)천존사신기Ⅱ(11)128.2<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>50<NA>전체이용가<NA><NA><NA><NA><NA>
20602061청소년게임제공업03_05_07_P3330000CDFF224114200800000520080415<NA>4취소/말소/만료/정지/중지35직권말소20120525<NA><NA><NA><NA><NA><NA>부산광역시 해운대구 좌동 1479-3번지부산광역시 해운대구 해운대로 814, 7층 (좌동)612842미심20120525103135I2018-08-31 23:59:59.0<NA>398330.51653187771.511374청소년게임제공업유통관련업<NA><NA>유기기구수:17대18.167<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>
20612062청소년게임제공업03_05_07_P3330000CDFF224114200800000720080528<NA>4취소/말소/만료/정지/중지35직권말소20120525<NA><NA><NA><NA><NA><NA>부산광역시 해운대구 중동 1775-7번지부산광역시 해운대구 좌동순환로 473 (중동)612851로데오게임랜드20120525102949I2018-08-31 23:59:59.0<NA>397619.60935187004.870496청소년게임제공업유통관련업4<NA><NA>77.61<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>
20622063청소년게임제공업03_05_07_P3330000CDFF224114200800002020080808<NA>4취소/말소/만료/정지/중지35직권말소20120803<NA><NA><NA><NA><NA><NA>부산광역시 해운대구 우동 149-9번지부산광역시 해운대구 우동2로 16 (우동)612818타임머신20120803091452I2018-08-31 23:59:59.0<NA>396771.437409187359.366668청소년게임제공업유통관련업<NA><NA><NA>303.1841<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
20632064청소년게임제공업03_05_07_P3330000CDFF224114200800003520081222<NA>4취소/말소/만료/정지/중지35직권말소20120525<NA><NA><NA><NA><NA><NA>부산광역시 해운대구 중동 1775-7번지 1층부산광역시 해운대구 좌동순환로 473 (중동)612851로데오 게임랜드20120525103031I2018-08-31 23:59:59.0<NA>397619.60935187004.870496청소년게임제공업유통관련업<NA><NA>전체이용가 50대114.891<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>
20642065청소년게임제공업03_05_07_P3330000CDFF224114201000000520100916<NA>4취소/말소/만료/정지/중지35직권말소20130128<NA><NA><NA><NA><NA><NA>부산광역시 해운대구 중동 1394-352번지부산광역시 해운대구 중동1로 46 (중동)612847비치게임랜드20130128180533I2018-08-31 23:59:59.0<NA>397047.443339186844.787912청소년게임제공업유통관련업<NA><NA>패르리어트 40대(2011.6.2)268.841<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA><NA><NA>
20652066청소년게임제공업03_05_07_P3330000CDFF224114201000001020101208<NA>4취소/말소/만료/정지/중지35직권말소20130128<NA><NA><NA><NA><NA><NA>부산광역시 해운대구 중동 1394-352번지부산광역시 해운대구 중동1로 46 (중동)612847바다 게임랜드20130128180614I2018-08-31 23:59:59.0<NA>397047.443339186844.787912청소년게임제공업유통관련업<NA><NA>경포대(CC-NA-100827-002) 40대184.451<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA><NA><NA>
20662067청소년게임제공업03_05_07_P3330000CDFF224114201100001920110428<NA>4취소/말소/만료/정지/중지35직권말소20120525<NA><NA><NA><NA><NA><NA>부산광역시 해운대구 좌동 1460-4번지 지하1층부산광역시 해운대구 양운로 지하 82, 1층 (좌동)612836장산 게임랜드20120525103111I2018-08-31 23:59:59.0<NA>398133.960402187864.096706청소년게임제공업유통관련업<NA><NA>플리넷333(CC-NA-110223-001) 40대262.3<NA>1근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA>중심상업지역<NA>