Overview

Dataset statistics

Number of variables60
Number of observations3067
Missing cells89175
Missing cells (%)48.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.5 MiB
Average record size in memory522.0 B

Variable types

Numeric17
Categorical14
Text6
Unsupported22
DateTime1

Dataset

Description2021-03-01
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20230901050101123036

Alerts

개방서비스명 has constant value ""Constant
개방서비스id has constant value ""Constant
문화체육업종명 has constant value ""Constant
문화사업자구분명 has constant value ""Constant
휴업시작일자 is highly imbalanced (99.4%)Imbalance
휴업종료일자 is highly imbalanced (99.4%)Imbalance
주변환경명 is highly imbalanced (54.7%)Imbalance
건물용도명 is highly imbalanced (69.3%)Imbalance
제공게임물명 is highly imbalanced (50.8%)Imbalance
지역구분명 is highly imbalanced (57.7%)Imbalance
인허가취소일자 has 2919 (95.2%) missing valuesMissing
폐업일자 has 996 (32.5%) missing valuesMissing
재개업일자 has 3067 (100.0%) missing valuesMissing
소재지전화 has 2475 (80.7%) missing valuesMissing
소재지면적 has 3067 (100.0%) missing valuesMissing
소재지우편번호 has 2917 (95.1%) missing valuesMissing
도로명전체주소 has 106 (3.5%) missing valuesMissing
도로명우편번호 has 1049 (34.2%) missing valuesMissing
업태구분명 has 3067 (100.0%) missing valuesMissing
총층수 has 1596 (52.0%) missing valuesMissing
제작취급품목내용 has 2961 (96.5%) missing valuesMissing
지상층수 has 883 (28.8%) missing valuesMissing
지하층수 has 2196 (71.6%) missing valuesMissing
통로너비 has 3067 (100.0%) missing valuesMissing
조명시설조도 has 2792 (91.0%) missing valuesMissing
노래방실수 has 3067 (100.0%) missing valuesMissing
청소년실수 has 3067 (100.0%) missing valuesMissing
비상계단여부 has 3067 (100.0%) missing valuesMissing
비상구여부 has 3067 (100.0%) missing valuesMissing
자동환기여부 has 3067 (100.0%) missing valuesMissing
청소년실여부 has 3067 (100.0%) missing valuesMissing
특수조명여부 has 3067 (100.0%) missing valuesMissing
방음시설여부 has 3067 (100.0%) missing valuesMissing
비디오재생기명 has 3067 (100.0%) missing valuesMissing
조명시설유무 has 3067 (100.0%) missing valuesMissing
음향시설여부 has 3067 (100.0%) missing valuesMissing
편의시설여부 has 3067 (100.0%) missing valuesMissing
소방시설여부 has 3067 (100.0%) missing valuesMissing
총게임기수 has 774 (25.2%) missing valuesMissing
기존게임업외업종명 has 3067 (100.0%) missing valuesMissing
공연장형태구분명 has 3067 (100.0%) missing valuesMissing
품목명 has 3067 (100.0%) missing valuesMissing
최초등록시점 has 3067 (100.0%) missing valuesMissing
Unnamed: 59 has 3067 (100.0%) missing valuesMissing
시설면적 is highly skewed (γ1 = 55.18642535)Skewed
번호 has unique valuesUnique
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 34 (1.1%) zerosZeros

Reproduction

Analysis started2024-04-21 19:05:06.713021
Analysis finished2024-04-21 19:05:08.717834
Duration2 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct3067
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1534
Minimum1
Maximum3067
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.1 KiB
2024-04-22T04:05:08.844248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile154.3
Q1767.5
median1534
Q32300.5
95-th percentile2913.7
Maximum3067
Range3066
Interquartile range (IQR)1533

Descriptive statistics

Standard deviation885.51096
Coefficient of variation (CV)0.57725617
Kurtosis-1.2
Mean1534
Median Absolute Deviation (MAD)767
Skewness0
Sum4704778
Variance784129.67
MonotonicityStrictly increasing
2024-04-22T04:05:09.098024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
2050 1
 
< 0.1%
2041 1
 
< 0.1%
2042 1
 
< 0.1%
2043 1
 
< 0.1%
2044 1
 
< 0.1%
2045 1
 
< 0.1%
2046 1
 
< 0.1%
2047 1
 
< 0.1%
2048 1
 
< 0.1%
Other values (3057) 3057
99.7%
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 (%)
3067 1
< 0.1%
3066 1
< 0.1%
3065 1
< 0.1%
3064 1
< 0.1%
3063 1
< 0.1%
3062 1
< 0.1%
3061 1
< 0.1%
3060 1
< 0.1%
3059 1
< 0.1%
3058 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size24.1 KiB
인터넷컴퓨터게임시설제공업
3067 

Length

Max length13
Median length13
Mean length13
Min length13

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인터넷컴퓨터게임시설제공업 3067
100.0%

Length

2024-04-22T04:05:09.336946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T04:05:09.499562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인터넷컴퓨터게임시설제공업 3067
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size24.1 KiB
03_05_05_P
3067 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row03_05_05_P
2nd row03_05_05_P
3rd row03_05_05_P
4th row03_05_05_P
5th row03_05_05_P

Common Values

ValueCountFrequency (%)
03_05_05_P 3067
100.0%

Length

2024-04-22T04:05:09.670932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T04:05:09.834573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_05_05_p 3067
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3327460.1
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.1 KiB
2024-04-22T04:05:09.994272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3250000
5-th percentile3260000
Q13300000
median3330000
Q33360000
95-th percentile3390000
Maximum3400000
Range150000
Interquartile range (IQR)60000

Descriptive statistics

Standard deviation39784.62
Coefficient of variation (CV)0.011956453
Kurtosis-0.83965754
Mean3327460.1
Median Absolute Deviation (MAD)30000
Skewness0.059009455
Sum1.020532 × 1010
Variance1.582816 × 109
MonotonicityNot monotonic
2024-04-22T04:05:10.208639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3290000 389
12.7%
3330000 325
10.6%
3310000 271
8.8%
3340000 269
8.8%
3300000 262
8.5%
3390000 232
7.6%
3350000 221
7.2%
3370000 215
7.0%
3320000 206
6.7%
3380000 171
 
5.6%
Other values (6) 506
16.5%
ValueCountFrequency (%)
3250000 121
 
3.9%
3260000 78
 
2.5%
3270000 70
 
2.3%
3280000 86
 
2.8%
3290000 389
12.7%
3300000 262
8.5%
3310000 271
8.8%
3320000 206
6.7%
3330000 325
10.6%
3340000 269
8.8%
ValueCountFrequency (%)
3400000 101
 
3.3%
3390000 232
7.6%
3380000 171
5.6%
3370000 215
7.0%
3360000 50
 
1.6%
3350000 221
7.2%
3340000 269
8.8%
3330000 325
10.6%
3320000 206
6.7%
3310000 271
8.8%

관리번호
Text

Distinct452
Distinct (%)14.7%
Missing0
Missing (%)0.0%
Memory size24.1 KiB
2024-04-22T04:05:10.830185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters61340
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

Unique115 ?
Unique (%)3.7%

Sample

1st rowCDFF2241022007000002
2nd rowCDFF2241022007000003
3rd rowCDFF2241022007000004
4th rowCDFF2241022008000001
5th rowCDFF2241022008000020
ValueCountFrequency (%)
cdff2241022015000002 16
 
0.5%
cdff2241022007000003 16
 
0.5%
cdff2241022019000001 16
 
0.5%
cdff2241022013000001 16
 
0.5%
cdff2241022011000003 16
 
0.5%
cdff2241022008000004 16
 
0.5%
cdff2241022015000001 16
 
0.5%
cdff2241022008000001 16
 
0.5%
cdff2241022008000002 16
 
0.5%
cdff2241022009000002 16
 
0.5%
Other values (442) 2907
94.8%
2024-04-22T04:05:11.655267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 21987
35.8%
2 13135
21.4%
F 6134
 
10.0%
1 5659
 
9.2%
4 3790
 
6.2%
C 3067
 
5.0%
D 3067
 
5.0%
8 1394
 
2.3%
7 842
 
1.4%
3 651
 
1.1%
Other values (3) 1614
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 49072
80.0%
Uppercase Letter 12268
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 21987
44.8%
2 13135
26.8%
1 5659
 
11.5%
4 3790
 
7.7%
8 1394
 
2.8%
7 842
 
1.7%
3 651
 
1.3%
9 566
 
1.2%
5 550
 
1.1%
6 498
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
F 6134
50.0%
C 3067
25.0%
D 3067
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 49072
80.0%
Latin 12268
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 21987
44.8%
2 13135
26.8%
1 5659
 
11.5%
4 3790
 
7.7%
8 1394
 
2.8%
7 842
 
1.7%
3 651
 
1.3%
9 566
 
1.2%
5 550
 
1.1%
6 498
 
1.0%
Latin
ValueCountFrequency (%)
F 6134
50.0%
C 3067
25.0%
D 3067
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 61340
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 21987
35.8%
2 13135
21.4%
F 6134
 
10.0%
1 5659
 
9.2%
4 3790
 
6.2%
C 3067
 
5.0%
D 3067
 
5.0%
8 1394
 
2.3%
7 842
 
1.4%
3 651
 
1.1%
Other values (3) 1614
 
2.6%

인허가일자
Real number (ℝ)

Distinct1501
Distinct (%)48.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20107869
Minimum20010109
Maximum20210119
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.1 KiB
2024-04-22T04:05:11.905883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20010109
5-th percentile20070928
Q120080519
median20090522
Q320140530
95-th percentile20187440
Maximum20210119
Range200010
Interquartile range (IQR)60010.5

Descriptive statistics

Standard deviation39448.224
Coefficient of variation (CV)0.0019618301
Kurtosis-0.29611622
Mean20107869
Median Absolute Deviation (MAD)19403
Skewness0.67113077
Sum6.1670835 × 1010
Variance1.5561624 × 109
MonotonicityNot monotonic
2024-04-22T04:05:12.168764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20080520 38
 
1.2%
20080521 37
 
1.2%
20080519 30
 
1.0%
20080522 30
 
1.0%
20080731 26
 
0.8%
20071116 25
 
0.8%
20080515 24
 
0.8%
20071119 23
 
0.7%
20080516 23
 
0.7%
20080730 21
 
0.7%
Other values (1491) 2790
91.0%
ValueCountFrequency (%)
20010109 1
< 0.1%
20010201 1
< 0.1%
20010227 1
< 0.1%
20010306 2
0.1%
20010308 1
< 0.1%
20010315 2
0.1%
20010328 2
0.1%
20010330 1
< 0.1%
20010407 1
< 0.1%
20010417 2
0.1%
ValueCountFrequency (%)
20210119 1
< 0.1%
20210115 1
< 0.1%
20201218 1
< 0.1%
20201217 1
< 0.1%
20201216 1
< 0.1%
20201116 2
0.1%
20201110 1
< 0.1%
20201103 1
< 0.1%
20201027 1
< 0.1%
20201019 1
< 0.1%

인허가취소일자
Real number (ℝ)

MISSING 

Distinct135
Distinct (%)91.2%
Missing2919
Missing (%)95.2%
Infinite0
Infinite (%)0.0%
Mean20124268
Minimum20071226
Maximum20201231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.1 KiB
2024-04-22T04:05:12.440136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20071226
5-th percentile20090107
Q120100405
median20110775
Q320150705
95-th percentile20200440
Maximum20201231
Range130005
Interquartile range (IQR)50299.75

Descriptive statistics

Standard deviation32991.866
Coefficient of variation (CV)0.001639407
Kurtosis-0.24637266
Mean20124268
Median Absolute Deviation (MAD)20106.5
Skewness0.75166914
Sum2.9783917 × 109
Variance1.0884632 × 109
MonotonicityNot monotonic
2024-04-22T04:05:12.712709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20150827 3
 
0.1%
20150528 2
 
0.1%
20110523 2
 
0.1%
20100402 2
 
0.1%
20150824 2
 
0.1%
20090910 2
 
0.1%
20090714 2
 
0.1%
20101213 2
 
0.1%
20101201 2
 
0.1%
20150930 2
 
0.1%
Other values (125) 127
 
4.1%
(Missing) 2919
95.2%
ValueCountFrequency (%)
20071226 1
< 0.1%
20080310 1
< 0.1%
20080425 2
0.1%
20080922 1
< 0.1%
20081023 1
< 0.1%
20081205 1
< 0.1%
20090107 1
< 0.1%
20090108 1
< 0.1%
20090129 1
< 0.1%
20090210 1
< 0.1%
ValueCountFrequency (%)
20201231 1
< 0.1%
20201019 1
< 0.1%
20200915 1
< 0.1%
20200810 1
< 0.1%
20200722 1
< 0.1%
20200721 1
< 0.1%
20200624 1
< 0.1%
20200512 1
< 0.1%
20200305 1
< 0.1%
20200304 1
< 0.1%

영업상태구분코드
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size24.1 KiB
3
1742 
1
805 
4
518 
2
 
2

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 1742
56.8%
1 805
26.2%
4 518
 
16.9%
2 2
 
0.1%

Length

2024-04-22T04:05:12.952579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T04:05:13.134102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 1742
56.8%
1 805
26.2%
4 518
 
16.9%
2 2
 
0.1%

영업상태명
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size24.1 KiB
폐업
1742 
영업/정상
805 
취소/말소/만료/정지/중지
518 
휴업
 
2

Length

Max length14
Median length2
Mean length4.8141506
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 1742
56.8%
영업/정상 805
26.2%
취소/말소/만료/정지/중지 518
 
16.9%
휴업 2
 
0.1%

Length

2024-04-22T04:05:13.332492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T04:05:13.520794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1742
56.8%
영업/정상 805
26.2%
취소/말소/만료/정지/중지 518
 
16.9%
휴업 2
 
0.1%

상세영업상태코드
Real number (ℝ)

Distinct8
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.831431
Minimum2
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.1 KiB
2024-04-22T04:05:13.683761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q13
median3
Q313
95-th percentile35
Maximum35
Range33
Interquartile range (IQR)10

Descriptive statistics

Standard deviation11.228979
Coefficient of variation (CV)1.0367032
Kurtosis0.22177551
Mean10.831431
Median Absolute Deviation (MAD)0
Skewness1.2890314
Sum33220
Variance126.08997
MonotonicityNot monotonic
2024-04-22T04:05:13.866470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3 1742
56.8%
13 805
26.2%
35 368
 
12.0%
31 147
 
4.8%
2 2
 
0.1%
33 1
 
< 0.1%
25 1
 
< 0.1%
30 1
 
< 0.1%
ValueCountFrequency (%)
2 2
 
0.1%
3 1742
56.8%
13 805
26.2%
25 1
 
< 0.1%
30 1
 
< 0.1%
31 147
 
4.8%
33 1
 
< 0.1%
35 368
 
12.0%
ValueCountFrequency (%)
35 368
 
12.0%
33 1
 
< 0.1%
31 147
 
4.8%
30 1
 
< 0.1%
25 1
 
< 0.1%
13 805
26.2%
3 1742
56.8%
2 2
 
0.1%

상세영업상태명
Categorical

Distinct8
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size24.1 KiB
폐업
1742 
영업중
805 
직권말소
368 
등록취소
 
147
휴업
 
2
Other values (3)
 
3

Length

Max length4
Median length2
Mean length2.6002608
Min length2

Unique

Unique3 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 1742
56.8%
영업중 805
26.2%
직권말소 368
 
12.0%
등록취소 147
 
4.8%
휴업 2
 
0.1%
지정취소 1
 
< 0.1%
영업정지 1
 
< 0.1%
허가취소 1
 
< 0.1%

Length

2024-04-22T04:05:14.106738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T04:05:14.329682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1742
56.8%
영업중 805
26.2%
직권말소 368
 
12.0%
등록취소 147
 
4.8%
휴업 2
 
0.1%
지정취소 1
 
< 0.1%
영업정지 1
 
< 0.1%
허가취소 1
 
< 0.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct1332
Distinct (%)64.3%
Missing996
Missing (%)32.5%
Infinite0
Infinite (%)0.0%
Mean20144231
Minimum20070928
Maximum20210119
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.1 KiB
2024-04-22T04:05:14.564332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20070928
5-th percentile20090466
Q120111126
median20141008
Q320170822
95-th percentile20200708
Maximum20210119
Range139191
Interquartile range (IQR)59695

Descriptive statistics

Standard deviation35158.448
Coefficient of variation (CV)0.0017453358
Kurtosis-1.0447339
Mean20144231
Median Absolute Deviation (MAD)29823
Skewness0.04805647
Sum4.1718702 × 1010
Variance1.2361165 × 109
MonotonicityNot monotonic
2024-04-22T04:05:14.813001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20201217 35
 
1.1%
20200708 33
 
1.1%
20170112 32
 
1.0%
20140321 25
 
0.8%
20200622 19
 
0.6%
20110523 15
 
0.5%
20200609 13
 
0.4%
20090102 12
 
0.4%
20170621 12
 
0.4%
20131130 11
 
0.4%
Other values (1322) 1864
60.8%
(Missing) 996
32.5%
ValueCountFrequency (%)
20070928 1
< 0.1%
20071024 1
< 0.1%
20071031 1
< 0.1%
20071108 1
< 0.1%
20080226 1
< 0.1%
20080319 1
< 0.1%
20080328 1
< 0.1%
20080401 1
< 0.1%
20080402 1
< 0.1%
20080407 1
< 0.1%
ValueCountFrequency (%)
20210119 1
 
< 0.1%
20210115 1
 
< 0.1%
20210112 1
 
< 0.1%
20201231 1
 
< 0.1%
20201228 2
 
0.1%
20201217 35
1.1%
20201214 1
 
< 0.1%
20201208 1
 
< 0.1%
20201202 1
 
< 0.1%
20201201 3
 
0.1%

휴업시작일자
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size24.1 KiB
<NA>
3064 
20160906
 
1
20201111
 
1
20191023
 
1

Length

Max length8
Median length4
Mean length4.0039126
Min length4

Unique

Unique3 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 3064
99.9%
20160906 1
 
< 0.1%
20201111 1
 
< 0.1%
20191023 1
 
< 0.1%

Length

2024-04-22T04:05:15.068267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T04:05:15.268149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3064
99.9%
20160906 1
 
< 0.1%
20201111 1
 
< 0.1%
20191023 1
 
< 0.1%

휴업종료일자
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size24.1 KiB
<NA>
3064 
20161005
 
1
20201130
 
1
21191023
 
1

Length

Max length8
Median length4
Mean length4.0039126
Min length4

Unique

Unique3 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 3064
99.9%
20161005 1
 
< 0.1%
20201130 1
 
< 0.1%
21191023 1
 
< 0.1%

Length

2024-04-22T04:05:15.476307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T04:05:15.675895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3064
99.9%
20161005 1
 
< 0.1%
20201130 1
 
< 0.1%
21191023 1
 
< 0.1%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3067
Missing (%)100.0%
Memory size27.1 KiB

소재지전화
Text

MISSING 

Distinct579
Distinct (%)97.8%
Missing2475
Missing (%)80.7%
Memory size24.1 KiB
2024-04-22T04:05:16.470696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length8
Mean length9.472973
Min length1

Characters and Unicode

Total characters5608
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

Unique572 ?
Unique (%)96.6%

Sample

1st row0512457706
2nd row0512424535
3rd row0512460020
4th row0512412103
5th row070-4060-5262
ValueCountFrequency (%)
8
 
1.4%
051-338-7887 2
 
0.3%
898-2013 2
 
0.3%
897-2182 2
 
0.3%
806-7285 2
 
0.3%
900-0303 2
 
0.3%
805-3676 2
 
0.3%
205-3989 1
 
0.2%
202-9777 1
 
0.2%
051-202-3281 1
 
0.2%
Other values (569) 569
96.1%
2024-04-22T04:05:17.553416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 781
13.9%
5 691
12.3%
0 644
11.5%
1 610
10.9%
2 554
9.9%
3 430
7.7%
7 423
7.5%
4 401
7.2%
8 381
6.8%
6 371
6.6%
Other values (3) 322
5.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4818
85.9%
Dash Punctuation 781
 
13.9%
Other Punctuation 5
 
0.1%
Close Punctuation 4
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 691
14.3%
0 644
13.4%
1 610
12.7%
2 554
11.5%
3 430
8.9%
7 423
8.8%
4 401
8.3%
8 381
7.9%
6 371
7.7%
9 313
6.5%
Dash Punctuation
ValueCountFrequency (%)
- 781
100.0%
Other Punctuation
ValueCountFrequency (%)
. 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5608
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 781
13.9%
5 691
12.3%
0 644
11.5%
1 610
10.9%
2 554
9.9%
3 430
7.7%
7 423
7.5%
4 401
7.2%
8 381
6.8%
6 371
6.6%
Other values (3) 322
5.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5608
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 781
13.9%
5 691
12.3%
0 644
11.5%
1 610
10.9%
2 554
9.9%
3 430
7.7%
7 423
7.5%
4 401
7.2%
8 381
6.8%
6 371
6.6%
Other values (3) 322
5.7%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3067
Missing (%)100.0%
Memory size27.1 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct110
Distinct (%)73.3%
Missing2917
Missing (%)95.1%
Infinite0
Infinite (%)0.0%
Mean609288.03
Minimum600042
Maximum619961
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.1 KiB
2024-04-22T04:05:18.041109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum600042
5-th percentile601819.9
Q1605145.25
median607833
Q3613562
95-th percentile617354.65
Maximum619961
Range19919
Interquartile range (IQR)8416.75

Descriptive statistics

Standard deviation4831.4742
Coefficient of variation (CV)0.0079297049
Kurtosis-0.73730044
Mean609288.03
Median Absolute Deviation (MAD)3971
Skewness0.15060883
Sum91393204
Variance23343143
MonotonicityNot monotonic
2024-04-22T04:05:18.308915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
614847 6
 
0.2%
607833 5
 
0.2%
614846 4
 
0.1%
607815 4
 
0.1%
611804 3
 
0.1%
607804 3
 
0.1%
607826 3
 
0.1%
604834 2
 
0.1%
604803 2
 
0.1%
604828 2
 
0.1%
Other values (100) 116
 
3.8%
(Missing) 2917
95.1%
ValueCountFrequency (%)
600042 1
< 0.1%
600045 1
< 0.1%
600046 1
< 0.1%
600805 1
< 0.1%
601802 1
< 0.1%
601808 2
0.1%
601819 1
< 0.1%
601821 1
< 0.1%
601823 1
< 0.1%
601825 1
< 0.1%
ValueCountFrequency (%)
619961 1
< 0.1%
619905 1
< 0.1%
619903 2
0.1%
618807 1
< 0.1%
617838 1
< 0.1%
617809 1
< 0.1%
617806 1
< 0.1%
616803 1
< 0.1%
614870 1
< 0.1%
614860 2
0.1%

소재지전체주소
Text

Distinct2797
Distinct (%)91.3%
Missing5
Missing (%)0.2%
Memory size24.1 KiB
2024-04-22T04:05:19.419396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length47
Mean length24.522861
Min length12

Characters and Unicode

Total characters75089
Distinct characters370
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2581 ?
Unique (%)84.3%

Sample

1st row부산광역시 중구 보수동1가 101-4번지
2nd row부산광역시 중구 부평동1가 49-7번지
3rd row부산광역시 중구 남포동2가 21-1번지
4th row부산광역시 중구 중앙동4가 40-5번지
5th row부산광역시 중구 남포동2가 21-5번지
ValueCountFrequency (%)
부산광역시 3062
 
21.5%
부산진구 389
 
2.7%
해운대구 325
 
2.3%
2층 274
 
1.9%
남구 271
 
1.9%
사하구 269
 
1.9%
동래구 261
 
1.8%
사상구 232
 
1.6%
금정구 219
 
1.5%
연제구 215
 
1.5%
Other values (3098) 8740
61.3%
2024-04-22T04:05:20.773626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11197
 
14.9%
부 3729
 
5.0%
산 3687
 
4.9%
동 3424
 
4.6%
1 3403
 
4.5%
지 3386
 
4.5%
광 3149
 
4.2%
구 3088
 
4.1%
역 3076
 
4.1%
시 3073
 
4.1%
Other values (360) 33877
45.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 44182
58.8%
Decimal Number 15866
 
21.1%
Space Separator 11197
 
14.9%
Dash Punctuation 2859
 
3.8%
Open Punctuation 417
 
0.6%
Close Punctuation 417
 
0.6%
Uppercase Letter 69
 
0.1%
Other Punctuation 68
 
0.1%
Math Symbol 7
 
< 0.1%
Lowercase Letter 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 3729
 
8.4%
산 3687
 
8.3%
동 3424
 
7.7%
지 3386
 
7.7%
광 3149
 
7.1%
구 3088
 
7.0%
역 3076
 
7.0%
시 3073
 
7.0%
번 2799
 
6.3%
층 1154
 
2.6%
Other values (321) 13617
30.8%
Uppercase Letter
ValueCountFrequency (%)
P 18
26.1%
C 16
23.2%
B 12
17.4%
A 8
11.6%
O 2
 
2.9%
L 2
 
2.9%
G 2
 
2.9%
I 2
 
2.9%
H 1
 
1.4%
Z 1
 
1.4%
Other values (5) 5
 
7.2%
Decimal Number
ValueCountFrequency (%)
1 3403
21.4%
2 2568
16.2%
3 1894
11.9%
4 1479
9.3%
5 1302
 
8.2%
6 1153
 
7.3%
0 1117
 
7.0%
7 1034
 
6.5%
9 960
 
6.1%
8 956
 
6.0%
Other Punctuation
ValueCountFrequency (%)
, 62
91.2%
: 3
 
4.4%
@ 2
 
2.9%
/ 1
 
1.5%
Lowercase Letter
ValueCountFrequency (%)
s 2
40.0%
l 1
20.0%
k 1
20.0%
u 1
20.0%
Space Separator
ValueCountFrequency (%)
11197
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2859
100.0%
Open Punctuation
ValueCountFrequency (%)
( 417
100.0%
Close Punctuation
ValueCountFrequency (%)
) 417
100.0%
Math Symbol
ValueCountFrequency (%)
~ 7
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 44182
58.8%
Common 30831
41.1%
Latin 76
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 3729
 
8.4%
산 3687
 
8.3%
동 3424
 
7.7%
지 3386
 
7.7%
광 3149
 
7.1%
구 3088
 
7.0%
역 3076
 
7.0%
시 3073
 
7.0%
번 2799
 
6.3%
층 1154
 
2.6%
Other values (321) 13617
30.8%
Latin
ValueCountFrequency (%)
P 18
23.7%
C 16
21.1%
B 12
15.8%
A 8
10.5%
Ⅱ 2
 
2.6%
O 2
 
2.6%
L 2
 
2.6%
G 2
 
2.6%
s 2
 
2.6%
I 2
 
2.6%
Other values (10) 10
13.2%
Common
ValueCountFrequency (%)
11197
36.3%
1 3403
 
11.0%
- 2859
 
9.3%
2 2568
 
8.3%
3 1894
 
6.1%
4 1479
 
4.8%
5 1302
 
4.2%
6 1153
 
3.7%
0 1117
 
3.6%
7 1034
 
3.4%
Other values (9) 2825
 
9.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 44182
58.8%
ASCII 30905
41.2%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11197
36.2%
1 3403
 
11.0%
- 2859
 
9.3%
2 2568
 
8.3%
3 1894
 
6.1%
4 1479
 
4.8%
5 1302
 
4.2%
6 1153
 
3.7%
0 1117
 
3.6%
7 1034
 
3.3%
Other values (28) 2899
 
9.4%
Hangul
ValueCountFrequency (%)
부 3729
 
8.4%
산 3687
 
8.3%
동 3424
 
7.7%
지 3386
 
7.7%
광 3149
 
7.1%
구 3088
 
7.0%
역 3076
 
7.0%
시 3073
 
7.0%
번 2799
 
6.3%
층 1154
 
2.6%
Other values (321) 13617
30.8%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
100.0%

도로명전체주소
Text

MISSING 

Distinct2810
Distinct (%)94.9%
Missing106
Missing (%)3.5%
Memory size24.1 KiB
2024-04-22T04:05:21.976121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length48
Mean length28.880446
Min length20

Characters and Unicode

Total characters85515
Distinct characters403
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2677 ?
Unique (%)90.4%

Sample

1st row부산광역시 중구 흑교로46번길 4-1 (보수동1가)
2nd row부산광역시 중구 비프광장로 11-1 (부평동1가)
3rd row부산광역시 중구 남포길 22-2 (남포동2가)
4th row부산광역시 중구 대청로135번길 33 (중앙동4가)
5th row부산광역시 중구 남포길 20-2 (남포동2가)
ValueCountFrequency (%)
부산광역시 2961
 
17.9%
부산진구 377
 
2.3%
2층 358
 
2.2%
해운대구 321
 
1.9%
남구 271
 
1.6%
사하구 261
 
1.6%
동래구 257
 
1.6%
사상구 225
 
1.4%
금정구 220
 
1.3%
3층 215
 
1.3%
Other values (2337) 11111
67.0%
2024-04-22T04:05:23.438869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
14343
 
16.8%
부 3655
 
4.3%
산 3620
 
4.2%
동 3615
 
4.2%
광 3175
 
3.7%
) 3123
 
3.7%
( 3123
 
3.7%
시 3080
 
3.6%
구 3076
 
3.6%
역 2976
 
3.5%
Other values (393) 41729
48.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 50067
58.5%
Space Separator 14343
 
16.8%
Decimal Number 12453
 
14.6%
Close Punctuation 3123
 
3.7%
Open Punctuation 3123
 
3.7%
Other Punctuation 1919
 
2.2%
Dash Punctuation 395
 
0.5%
Uppercase Letter 75
 
0.1%
Math Symbol 10
 
< 0.1%
Lowercase Letter 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 3655
 
7.3%
산 3620
 
7.2%
동 3615
 
7.2%
광 3175
 
6.3%
시 3080
 
6.2%
구 3076
 
6.1%
역 2976
 
5.9%
로 2943
 
5.9%
층 1561
 
3.1%
대 1242
 
2.5%
Other values (351) 21124
42.2%
Uppercase Letter
ValueCountFrequency (%)
P 16
21.3%
C 15
20.0%
A 9
12.0%
B 7
9.3%
O 4
 
5.3%
L 3
 
4.0%
G 3
 
4.0%
T 2
 
2.7%
H 2
 
2.7%
W 2
 
2.7%
Other values (9) 12
16.0%
Decimal Number
ValueCountFrequency (%)
1 2765
22.2%
2 2213
17.8%
3 1519
12.2%
4 1124
9.0%
5 908
 
7.3%
6 908
 
7.3%
0 861
 
6.9%
8 762
 
6.1%
7 727
 
5.8%
9 666
 
5.3%
Lowercase Letter
ValueCountFrequency (%)
s 2
40.0%
u 1
20.0%
l 1
20.0%
k 1
20.0%
Other Punctuation
ValueCountFrequency (%)
, 1917
99.9%
. 1
 
0.1%
/ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
14343
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3123
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3123
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 395
100.0%
Math Symbol
ValueCountFrequency (%)
~ 10
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 50067
58.5%
Common 35366
41.4%
Latin 82
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 3655
 
7.3%
산 3620
 
7.2%
동 3615
 
7.2%
광 3175
 
6.3%
시 3080
 
6.2%
구 3076
 
6.1%
역 2976
 
5.9%
로 2943
 
5.9%
층 1561
 
3.1%
대 1242
 
2.5%
Other values (351) 21124
42.2%
Latin
ValueCountFrequency (%)
P 16
19.5%
C 15
18.3%
A 9
11.0%
B 7
 
8.5%
O 4
 
4.9%
L 3
 
3.7%
G 3
 
3.7%
s 2
 
2.4%
T 2
 
2.4%
H 2
 
2.4%
Other values (14) 19
23.2%
Common
ValueCountFrequency (%)
14343
40.6%
) 3123
 
8.8%
( 3123
 
8.8%
1 2765
 
7.8%
2 2213
 
6.3%
, 1917
 
5.4%
3 1519
 
4.3%
4 1124
 
3.2%
5 908
 
2.6%
6 908
 
2.6%
Other values (8) 3423
 
9.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 50067
58.5%
ASCII 35446
41.5%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
14343
40.5%
) 3123
 
8.8%
( 3123
 
8.8%
1 2765
 
7.8%
2 2213
 
6.2%
, 1917
 
5.4%
3 1519
 
4.3%
4 1124
 
3.2%
5 908
 
2.6%
6 908
 
2.6%
Other values (31) 3503
 
9.9%
Hangul
ValueCountFrequency (%)
부 3655
 
7.3%
산 3620
 
7.2%
동 3615
 
7.2%
광 3175
 
6.3%
시 3080
 
6.2%
구 3076
 
6.1%
역 2976
 
5.9%
로 2943
 
5.9%
층 1561
 
3.1%
대 1242
 
2.5%
Other values (351) 21124
42.2%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct805
Distinct (%)39.9%
Missing1049
Missing (%)34.2%
Infinite0
Infinite (%)0.0%
Mean180770.53
Minimum46008
Maximum619963
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.1 KiB
2024-04-22T04:05:23.677813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46008
5-th percentile46282.85
Q147241
median48233
Q349482
95-th percentile614846
Maximum619963
Range573955
Interquartile range (IQR)2241

Descriptive statistics

Standard deviation239086.86
Coefficient of variation (CV)1.3225987
Kurtosis-0.45640606
Mean180770.53
Median Absolute Deviation (MAD)1153
Skewness1.2423107
Sum3.6479492 × 108
Variance5.7162525 × 1010
MonotonicityNot monotonic
2024-04-22T04:05:23.917817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
608020 48
 
1.6%
48981 23
 
0.7%
608090 23
 
0.7%
48498 21
 
0.7%
48095 21
 
0.7%
48111 21
 
0.7%
608040 18
 
0.6%
48980 18
 
0.6%
48512 18
 
0.6%
600046 17
 
0.6%
Other values (795) 1790
58.4%
(Missing) 1049
34.2%
ValueCountFrequency (%)
46008 5
0.2%
46012 2
 
0.1%
46015 9
0.3%
46017 1
 
< 0.1%
46023 7
0.2%
46024 2
 
0.1%
46035 1
 
< 0.1%
46037 4
0.1%
46044 1
 
< 0.1%
46056 4
0.1%
ValueCountFrequency (%)
619963 1
 
< 0.1%
619951 1
 
< 0.1%
619906 1
 
< 0.1%
619905 4
0.1%
619903 9
0.3%
619901 1
 
< 0.1%
618806 1
 
< 0.1%
618290 1
 
< 0.1%
617845 2
 
0.1%
617838 1
 
< 0.1%

사업장명
Text

Distinct2570
Distinct (%)83.8%
Missing0
Missing (%)0.0%
Memory size24.1 KiB
2024-04-22T04:05:25.008027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length20
Mean length7.1838931
Min length1

Characters and Unicode

Total characters22033
Distinct characters593
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2261 ?
Unique (%)73.7%

Sample

1st row사이버캐슬 PC방
2nd row플러스PC방
3rd row룰루 PC
4th row밀레니엄PC방
5th row사이버리아 PC방 (남포1호점)
ValueCountFrequency (%)
pc방 739
 
14.0%
pc 550
 
10.4%
zone 89
 
1.7%
pc존 73
 
1.4%
cafe 41
 
0.8%
ox 37
 
0.7%
피시방 31
 
0.6%
유니넷 20
 
0.4%
아이비스 19
 
0.4%
아망떼 18
 
0.3%
Other values (2299) 3664
69.4%
2024-04-22T04:05:26.621029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
C 2658
 
12.1%
P 2622
 
11.9%
2222
 
10.1%
방 1479
 
6.7%
이 629
 
2.9%
스 449
 
2.0%
점 399
 
1.8%
아 340
 
1.5%
존 302
 
1.4%
드 243
 
1.1%
Other values (583) 10690
48.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11903
54.0%
Uppercase Letter 6678
30.3%
Space Separator 2222
 
10.1%
Lowercase Letter 824
 
3.7%
Decimal Number 135
 
0.6%
Open Punctuation 94
 
0.4%
Close Punctuation 94
 
0.4%
Dash Punctuation 39
 
0.2%
Other Punctuation 37
 
0.2%
Letter Number 3
 
< 0.1%
Other values (3) 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
방 1479
 
12.4%
이 629
 
5.3%
스 449
 
3.8%
점 399
 
3.4%
아 340
 
2.9%
존 302
 
2.5%
드 243
 
2.0%
피 219
 
1.8%
리 176
 
1.5%
시 154
 
1.3%
Other values (506) 7513
63.1%
Uppercase Letter
ValueCountFrequency (%)
C 2658
39.8%
P 2622
39.3%
O 206
 
3.1%
E 153
 
2.3%
N 136
 
2.0%
Z 99
 
1.5%
A 96
 
1.4%
X 67
 
1.0%
S 62
 
0.9%
T 61
 
0.9%
Other values (15) 518
 
7.8%
Lowercase Letter
ValueCountFrequency (%)
c 137
16.6%
e 126
15.3%
p 119
14.4%
o 90
10.9%
n 84
10.2%
a 55
6.7%
f 28
 
3.4%
i 23
 
2.8%
r 22
 
2.7%
h 20
 
2.4%
Other values (15) 120
14.6%
Decimal Number
ValueCountFrequency (%)
2 46
34.1%
1 31
23.0%
3 28
20.7%
7 11
 
8.1%
5 6
 
4.4%
0 5
 
3.7%
6 3
 
2.2%
4 3
 
2.2%
9 2
 
1.5%
Other Punctuation
ValueCountFrequency (%)
. 18
48.6%
& 11
29.7%
@ 2
 
5.4%
: 1
 
2.7%
/ 1
 
2.7%
． 1
 
2.7%
! 1
 
2.7%
# 1
 
2.7%
· 1
 
2.7%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
66.7%
Ⅰ 1
33.3%
Space Separator
ValueCountFrequency (%)
2222
100.0%
Open Punctuation
ValueCountFrequency (%)
( 94
100.0%
Close Punctuation
ValueCountFrequency (%)
) 94
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 39
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%
Other Number
ValueCountFrequency (%)
₂ 1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11902
54.0%
Latin 7505
34.1%
Common 2625
 
11.9%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
방 1479
 
12.4%
이 629
 
5.3%
스 449
 
3.8%
점 399
 
3.4%
아 340
 
2.9%
존 302
 
2.5%
드 243
 
2.0%
피 219
 
1.8%
리 176
 
1.5%
시 154
 
1.3%
Other values (505) 7512
63.1%
Latin
ValueCountFrequency (%)
C 2658
35.4%
P 2622
34.9%
O 206
 
2.7%
E 153
 
2.0%
c 137
 
1.8%
N 136
 
1.8%
e 126
 
1.7%
p 119
 
1.6%
Z 99
 
1.3%
A 96
 
1.3%
Other values (42) 1153
15.4%
Common
ValueCountFrequency (%)
2222
84.6%
( 94
 
3.6%
) 94
 
3.6%
2 46
 
1.8%
- 39
 
1.5%
1 31
 
1.2%
3 28
 
1.1%
. 18
 
0.7%
& 11
 
0.4%
7 11
 
0.4%
Other values (15) 31
 
1.2%
Han
ValueCountFrequency (%)
安 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11896
54.0%
ASCII 10124
45.9%
Compat Jamo 6
 
< 0.1%
Number Forms 3
 
< 0.1%
None 3
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
C 2658
26.3%
P 2622
25.9%
2222
21.9%
O 206
 
2.0%
E 153
 
1.5%
c 137
 
1.4%
N 136
 
1.3%
e 126
 
1.2%
p 119
 
1.2%
Z 99
 
1.0%
Other values (62) 1646
16.3%
Hangul
ValueCountFrequency (%)
방 1479
 
12.4%
이 629
 
5.3%
스 449
 
3.8%
점 399
 
3.4%
아 340
 
2.9%
존 302
 
2.5%
드 243
 
2.0%
피 219
 
1.8%
리 176
 
1.5%
시 154
 
1.3%
Other values (504) 7506
63.1%
Compat Jamo
ValueCountFrequency (%)
ㅋ 6
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
66.7%
Ⅰ 1
33.3%
CJK
ValueCountFrequency (%)
安 1
100.0%
None
ValueCountFrequency (%)
． 1
33.3%
₂ 1
33.3%
· 1
33.3%

최종수정시점
Real number (ℝ)

Distinct3066
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0152516 × 1013
Minimum2.007112 × 1013
Maximum2.0210129 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.1 KiB
2024-04-22T04:05:27.024369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.007112 × 1013
5-th percentile2.0091202 × 1013
Q12.0121017 × 1013
median2.0151021 × 1013
Q32.018112 × 1013
95-th percentile2.0200917 × 1013
Maximum2.0210129 × 1013
Range1.3900904 × 1011
Interquartile range (IQR)6.010297 × 1010

Descriptive statistics

Standard deviation3.5354065 × 1010
Coefficient of variation (CV)0.0017543251
Kurtosis-1.1089501
Mean2.0152516 × 1013
Median Absolute Deviation (MAD)3.0087993 × 1010
Skewness-0.2157523
Sum6.1807768 × 1016
Variance1.2499099 × 1021
MonotonicityNot monotonic
2024-04-22T04:05:27.461159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20180423171018 2
 
0.1%
20140422103842 1
 
< 0.1%
20130911155150 1
 
< 0.1%
20090511173444 1
 
< 0.1%
20140402145511 1
 
< 0.1%
20080402112346 1
 
< 0.1%
20100811092125 1
 
< 0.1%
20171031144340 1
 
< 0.1%
20091203134303 1
 
< 0.1%
20110323154628 1
 
< 0.1%
Other values (3056) 3056
99.6%
ValueCountFrequency (%)
20071120130053 1
< 0.1%
20080226102938 1
< 0.1%
20080401114535 1
< 0.1%
20080402112346 1
< 0.1%
20080411090149 1
< 0.1%
20080429171815 1
< 0.1%
20080520153526 1
< 0.1%
20080602142815 1
< 0.1%
20080604211146 1
< 0.1%
20080703142551 1
< 0.1%
ValueCountFrequency (%)
20210129172734 1
< 0.1%
20210129134743 1
< 0.1%
20210129134336 1
< 0.1%
20210125155245 1
< 0.1%
20210122094804 1
< 0.1%
20210120141204 1
< 0.1%
20210119172823 1
< 0.1%
20210119152411 1
< 0.1%
20210119152337 1
< 0.1%
20210119152253 1
< 0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size24.1 KiB
I
2358 
U
709 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 2358
76.9%
U 709
 
23.1%

Length

2024-04-22T04:05:27.877698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T04:05:28.185615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 2358
76.9%
u 709
 
23.1%

데이터갱신일자
Date

Distinct432
Distinct (%)14.1%
Missing0
Missing (%)0.0%
Memory size24.1 KiB
Minimum2018-08-31 23:59:59
Maximum2021-01-31 02:40:00
2024-04-22T04:05:28.510584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T04:05:28.943563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3067
Missing (%)100.0%
Memory size27.1 KiB

좌표정보(x)
Real number (ℝ)

Distinct2319
Distinct (%)76.0%
Missing14
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean388043.18
Minimum366779.27
Maximum407373.16
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.1 KiB
2024-04-22T04:05:29.354082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum366779.27
5-th percentile379503.74
Q1383858.19
median388465.35
Q3391462.77
95-th percentile398180.52
Maximum407373.16
Range40593.886
Interquartile range (IQR)7604.5743

Descriptive statistics

Standard deviation5641.6679
Coefficient of variation (CV)0.014538763
Kurtosis0.31810741
Mean388043.18
Median Absolute Deviation (MAD)3731.2685
Skewness0.054653754
Sum1.1846958 × 109
Variance31828416
MonotonicityNot monotonic
2024-04-22T04:05:29.808689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
384664.149882792 8
 
0.3%
387479.390387744 6
 
0.2%
389719.695026166 6
 
0.2%
391834.082986499 6
 
0.2%
384768.319655951 5
 
0.2%
384728.129972313 5
 
0.2%
398159.324550037 5
 
0.2%
388235.811951803 5
 
0.2%
392813.826326522 5
 
0.2%
382833.340842433 5
 
0.2%
Other values (2309) 2997
97.7%
(Missing) 14
 
0.5%
ValueCountFrequency (%)
366779.273666901 1
< 0.1%
366797.989707445 1
< 0.1%
366854.076165373 1
< 0.1%
366932.944608323 1
< 0.1%
369071.601644319 2
0.1%
370928.031982201 1
< 0.1%
371174.590002371 1
< 0.1%
371178.823833358 1
< 0.1%
371180.37604943 1
< 0.1%
371181.352545926 1
< 0.1%
ValueCountFrequency (%)
407373.159324595 1
< 0.1%
407239.737054983 1
< 0.1%
407120.238429358 1
< 0.1%
407012.469380515 2
0.1%
406963.422489117 1
< 0.1%
406861.36317142 1
< 0.1%
403186.431834992 1
< 0.1%
403179.253509945 1
< 0.1%
402533.024883342 1
< 0.1%
402079.691491799 1
< 0.1%

좌표정보(y)
Real number (ℝ)

Distinct2319
Distinct (%)76.0%
Missing14
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean187137.49
Minimum173895.66
Maximum206102.96
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.1 KiB
2024-04-22T04:05:30.223629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum173895.66
5-th percentile178377.91
Q1183666.06
median187306.75
Q3191031.9
95-th percentile195902.49
Maximum206102.96
Range32207.309
Interquartile range (IQR)7365.841

Descriptive statistics

Standard deviation5631.5385
Coefficient of variation (CV)0.030093054
Kurtosis0.1220695
Mean187137.49
Median Absolute Deviation (MAD)3692.6271
Skewness0.2235013
Sum5.7133074 × 108
Variance31714226
MonotonicityNot monotonic
2024-04-22T04:05:30.646231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
179582.676484563 8
 
0.3%
185887.136338202 6
 
0.2%
189529.091207964 6
 
0.2%
189185.417047275 6
 
0.2%
179566.176779483 5
 
0.2%
179576.657457487 5
 
0.2%
188084.467737712 5
 
0.2%
191334.579366972 5
 
0.2%
187410.981398455 5
 
0.2%
194687.173304343 5
 
0.2%
Other values (2309) 2997
97.7%
(Missing) 14
 
0.5%
ValueCountFrequency (%)
173895.655729558 1
 
< 0.1%
173914.718015169 1
 
< 0.1%
173951.800373379 2
0.1%
173961.914773076 1
 
< 0.1%
174002.976785704 2
0.1%
174092.497564851 2
0.1%
174121.753574824 1
 
< 0.1%
174676.412428464 1
 
< 0.1%
174848.053190733 4
0.1%
174883.742734168 1
 
< 0.1%
ValueCountFrequency (%)
206102.964822493 1
< 0.1%
206095.724959308 1
< 0.1%
206070.223360046 1
< 0.1%
206047.415761754 1
< 0.1%
206029.122466099 1
< 0.1%
205813.517164438 1
< 0.1%
205453.731773749 1
< 0.1%
205417.978411701 1
< 0.1%
205410.457061206 1
< 0.1%
205358.524519444 2
0.1%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size24.1 KiB
인터넷컴퓨터게임시설제공업
3067 

Length

Max length13
Median length13
Mean length13
Min length13

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인터넷컴퓨터게임시설제공업 3067
100.0%

Length

2024-04-22T04:05:31.058854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T04:05:31.363104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인터넷컴퓨터게임시설제공업 3067
100.0%

문화사업자구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size24.1 KiB
유통관련업
3067 

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 3067
100.0%

Length

2024-04-22T04:05:31.680402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T04:05:31.984173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 3067
100.0%

총층수
Real number (ℝ)

MISSING 

Distinct26
Distinct (%)1.8%
Missing1596
Missing (%)52.0%
Infinite0
Infinite (%)0.0%
Mean5.0414684
Minimum0
Maximum39
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size27.1 KiB
2024-04-22T04:05:32.289474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q13
median5
Q36
95-th percentile10
Maximum39
Range39
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.1886779
Coefficient of variation (CV)0.63248992
Kurtosis22.653695
Mean5.0414684
Median Absolute Deviation (MAD)1
Skewness3.4195307
Sum7416
Variance10.167667
MonotonicityNot monotonic
2024-04-22T04:05:32.699121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
5 305
 
9.9%
4 293
 
9.6%
3 212
 
6.9%
6 175
 
5.7%
2 135
 
4.4%
7 105
 
3.4%
1 72
 
2.3%
8 41
 
1.3%
9 40
 
1.3%
10 25
 
0.8%
Other values (16) 68
 
2.2%
(Missing) 1596
52.0%
ValueCountFrequency (%)
0 1
 
< 0.1%
1 72
 
2.3%
2 135
4.4%
3 212
6.9%
4 293
9.6%
5 305
9.9%
6 175
5.7%
7 105
 
3.4%
8 41
 
1.3%
9 40
 
1.3%
ValueCountFrequency (%)
39 1
 
< 0.1%
35 1
 
< 0.1%
29 2
 
0.1%
27 1
 
< 0.1%
25 1
 
< 0.1%
21 2
 
0.1%
20 2
 
0.1%
19 3
0.1%
17 4
0.1%
16 5
0.2%

주변환경명
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size24.1 KiB
<NA>
2376 
기타
370 
유흥업소밀집지역
 
135
주택가주변
 
128
아파트지역
 
34

Length

Max length8
Median length4
Mean length4.018911
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> 2376
77.5%
기타 370
 
12.1%
유흥업소밀집지역 135
 
4.4%
주택가주변 128
 
4.2%
아파트지역 34
 
1.1%
학교정화(상대) 24
 
0.8%

Length

2024-04-22T04:05:33.120216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T04:05:33.458848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2376
77.5%
기타 370
 
12.1%
유흥업소밀집지역 135
 
4.4%
주택가주변 128
 
4.2%
아파트지역 34
 
1.1%
학교정화(상대 24
 
0.8%

제작취급품목내용
Text

MISSING 

Distinct77
Distinct (%)72.6%
Missing2961
Missing (%)96.5%
Memory size24.1 KiB
2024-04-22T04:05:34.236799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length26
Mean length6.0188679
Min length1

Characters and Unicode

Total characters638
Distinct characters117
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

Unique65 ?
Unique (%)61.3%

Sample

1st rowPC
2nd rowPC 14대
3rd rowPC 52대
4th row태블릿PC 50대
5th rowPC 9대
ValueCountFrequency (%)
pc 44
28.2%
태블릿pc 8
 
5.1%
어플pc 4
 
2.6%
스마트앱 3
 
1.9%
pc30대 3
 
1.9%
태블릿 3
 
1.9%
pc40대 3
 
1.9%
50대 3
 
1.9%
인터넷 2
 
1.3%
어플 2
 
1.3%
Other values (74) 81
51.9%
2024-04-22T04:05:35.494672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
P 73
 
11.4%
C 73
 
11.4%
50
 
7.8%
대 47
 
7.4%
0 27
 
4.2%
1 18
 
2.8%
블 14
 
2.2%
5 14
 
2.2%
태 13
 
2.0%
릿 13
 
2.0%
Other values (107) 296
46.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 292
45.8%
Uppercase Letter 149
23.4%
Decimal Number 106
 
16.6%
Space Separator 50
 
7.8%
Lowercase Letter 21
 
3.3%
Other Punctuation 8
 
1.3%
Open Punctuation 6
 
0.9%
Close Punctuation 6
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 47
 
16.1%
블 14
 
4.8%
태 13
 
4.5%
릿 13
 
4.5%
어 12
 
4.1%
터 11
 
3.8%
플 10
 
3.4%
임 9
 
3.1%
트 9
 
3.1%
스 9
 
3.1%
Other values (80) 145
49.7%
Decimal Number
ValueCountFrequency (%)
0 27
25.5%
1 18
17.0%
5 14
13.2%
4 12
11.3%
3 9
 
8.5%
2 8
 
7.5%
9 6
 
5.7%
6 6
 
5.7%
8 4
 
3.8%
7 2
 
1.9%
Lowercase Letter
ValueCountFrequency (%)
p 8
38.1%
c 8
38.1%
n 2
 
9.5%
l 1
 
4.8%
i 1
 
4.8%
e 1
 
4.8%
Uppercase Letter
ValueCountFrequency (%)
P 73
49.0%
C 73
49.0%
O 1
 
0.7%
V 1
 
0.7%
R 1
 
0.7%
Other Punctuation
ValueCountFrequency (%)
, 6
75.0%
. 1
 
12.5%
: 1
 
12.5%
Space Separator
ValueCountFrequency (%)
50
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 292
45.8%
Common 176
27.6%
Latin 170
26.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 47
 
16.1%
블 14
 
4.8%
태 13
 
4.5%
릿 13
 
4.5%
어 12
 
4.1%
터 11
 
3.8%
플 10
 
3.4%
임 9
 
3.1%
트 9
 
3.1%
스 9
 
3.1%
Other values (80) 145
49.7%
Common
ValueCountFrequency (%)
50
28.4%
0 27
15.3%
1 18
 
10.2%
5 14
 
8.0%
4 12
 
6.8%
3 9
 
5.1%
2 8
 
4.5%
( 6
 
3.4%
) 6
 
3.4%
, 6
 
3.4%
Other values (6) 20
 
11.4%
Latin
ValueCountFrequency (%)
P 73
42.9%
C 73
42.9%
p 8
 
4.7%
c 8
 
4.7%
n 2
 
1.2%
O 1
 
0.6%
l 1
 
0.6%
i 1
 
0.6%
e 1
 
0.6%
V 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 346
54.2%
Hangul 292
45.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
P 73
21.1%
C 73
21.1%
50
14.5%
0 27
 
7.8%
1 18
 
5.2%
5 14
 
4.0%
4 12
 
3.5%
3 9
 
2.6%
p 8
 
2.3%
c 8
 
2.3%
Other values (17) 54
15.6%
Hangul
ValueCountFrequency (%)
대 47
 
16.1%
블 14
 
4.8%
태 13
 
4.5%
릿 13
 
4.5%
어 12
 
4.1%
터 11
 
3.8%
플 10
 
3.4%
임 9
 
3.1%
트 9
 
3.1%
스 9
 
3.1%
Other values (80) 145
49.7%

시설면적
Real number (ℝ)

SKEWED 

Distinct2483
Distinct (%)81.1%
Missing4
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean222.11331
Minimum9
Maximum120236
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.1 KiB
2024-04-22T04:05:35.903258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile54.116
Q1123.755
median165.11
Q3226.805
95-th percentile355.486
Maximum120236
Range120227
Interquartile range (IQR)103.05

Descriptive statistics

Standard deviation2171.2691
Coefficient of variation (CV)9.775502
Kurtosis3051.336
Mean222.11331
Median Absolute Deviation (MAD)47.93
Skewness55.186425
Sum680333.06
Variance4714409.4
MonotonicityNot monotonic
2024-04-22T04:05:36.352767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
49.5 6
 
0.2%
130.95 6
 
0.2%
66.0 6
 
0.2%
72.55 5
 
0.2%
114.0 5
 
0.2%
89.61 5
 
0.2%
99.0 5
 
0.2%
114.87 5
 
0.2%
99.26 4
 
0.1%
181.82 4
 
0.1%
Other values (2473) 3012
98.2%
ValueCountFrequency (%)
9.0 1
< 0.1%
12.0 1
< 0.1%
13.2 1
< 0.1%
14.4 1
< 0.1%
14.91 1
< 0.1%
15.75 1
< 0.1%
15.78 1
< 0.1%
22.11 1
< 0.1%
22.17 1
< 0.1%
22.34 1
< 0.1%
ValueCountFrequency (%)
120236.0 1
< 0.1%
931.33 1
< 0.1%
913.69 1
< 0.1%
811.4 1
< 0.1%
779.94 1
< 0.1%
766.19 1
< 0.1%
757.72 1
< 0.1%
712.0 1
< 0.1%
677.26 1
< 0.1%
639.74 1
< 0.1%

지상층수
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)1.0%
Missing883
Missing (%)28.8%
Infinite0
Infinite (%)0.0%
Mean3.3818681
Minimum1
Maximum34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.1 KiB
2024-04-22T04:05:37.017365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile7
Maximum34
Range33
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.4554223
Coefficient of variation (CV)0.726055
Kurtosis32.570133
Mean3.3818681
Median Absolute Deviation (MAD)1
Skewness4.1822528
Sum7386
Variance6.0290985
MonotonicityNot monotonic
2024-04-22T04:05:37.395997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
2 633
20.6%
3 530
17.3%
4 339
 
11.1%
1 262
 
8.5%
5 175
 
5.7%
6 91
 
3.0%
7 52
 
1.7%
8 32
 
1.0%
10 24
 
0.8%
9 20
 
0.7%
Other values (11) 26
 
0.8%
(Missing) 883
28.8%
ValueCountFrequency (%)
1 262
8.5%
2 633
20.6%
3 530
17.3%
4 339
11.1%
5 175
 
5.7%
6 91
 
3.0%
7 52
 
1.7%
8 32
 
1.0%
9 20
 
0.7%
10 24
 
0.8%
ValueCountFrequency (%)
34 1
 
< 0.1%
29 1
 
< 0.1%
25 3
0.1%
24 1
 
< 0.1%
23 2
 
0.1%
21 1
 
< 0.1%
15 5
0.2%
14 2
 
0.1%
13 2
 
0.1%
12 5
0.2%

지하층수
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)1.0%
Missing2196
Missing (%)71.6%
Infinite0
Infinite (%)0.0%
Mean1.1423651
Minimum0
Maximum10
Zeros34
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size27.1 KiB
2024-04-22T04:05:37.757143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.71305295
Coefficient of variation (CV)0.62419007
Kurtosis46.570983
Mean1.1423651
Median Absolute Deviation (MAD)0
Skewness5.4865091
Sum995
Variance0.50844451
MonotonicityNot monotonic
2024-04-22T04:05:38.101226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 737
 
24.0%
2 74
 
2.4%
0 34
 
1.1%
3 15
 
0.5%
5 5
 
0.2%
6 2
 
0.1%
7 2
 
0.1%
4 1
 
< 0.1%
10 1
 
< 0.1%
(Missing) 2196
71.6%
ValueCountFrequency (%)
0 34
 
1.1%
1 737
24.0%
2 74
 
2.4%
3 15
 
0.5%
4 1
 
< 0.1%
5 5
 
0.2%
6 2
 
0.1%
7 2
 
0.1%
10 1
 
< 0.1%
ValueCountFrequency (%)
10 1
 
< 0.1%
7 2
 
0.1%
6 2
 
0.1%
5 5
 
0.2%
4 1
 
< 0.1%
3 15
 
0.5%
2 74
 
2.4%
1 737
24.0%
0 34
 
1.1%

건물용도명
Categorical

IMBALANCE 

Distinct15
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size24.1 KiB
<NA>
1911 
근린생활시설
1051 
판매시설
 
58
기타
 
16
유통시설
 
9
Other values (10)
 
22

Length

Max length12
Median length4
Mean length4.6869905
Min length2

Unique

Unique5 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1911
62.3%
근린생활시설 1051
34.3%
판매시설 58
 
1.9%
기타 16
 
0.5%
유통시설 9
 
0.3%
환경위생시설 5
 
0.2%
교육연구시설 5
 
0.2%
단독주택 3
 
0.1%
사무실 2
 
0.1%
위험물저장시설 2
 
0.1%
Other values (5) 5
 
0.2%

Length

2024-04-22T04:05:38.479959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 1911
62.3%
근린생활시설 1051
34.3%
판매시설 58
 
1.9%
기타 16
 
0.5%
유통시설 9
 
0.3%
환경위생시설 5
 
0.2%
교육연구시설 5
 
0.2%
단독주택 3
 
0.1%
사무실 2
 
0.1%
위험물저장시설 2
 
0.1%
Other values (5) 5
 
0.2%

통로너비
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3067
Missing (%)100.0%
Memory size27.1 KiB

조명시설조도
Real number (ℝ)

MISSING 

Distinct57
Distinct (%)20.7%
Missing2792
Missing (%)91.0%
Infinite0
Infinite (%)0.0%
Mean55.604
Minimum4
Maximum388
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.1 KiB
2024-04-22T04:05:38.861613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile40
Q140
median48
Q352
95-th percentile111.6
Maximum388
Range384
Interquartile range (IQR)12

Descriptive statistics

Standard deviation36.316107
Coefficient of variation (CV)0.65312041
Kurtosis35.115748
Mean55.604
Median Absolute Deviation (MAD)8
Skewness5.2149391
Sum15291.1
Variance1318.8597
MonotonicityNot monotonic
2024-04-22T04:05:39.316266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40.0 98
 
3.2%
50.0 52
 
1.7%
52.0 14
 
0.5%
45.0 10
 
0.3%
48.0 8
 
0.3%
47.0 8
 
0.3%
42.0 6
 
0.2%
55.0 5
 
0.2%
46.0 5
 
0.2%
49.0 5
 
0.2%
Other values (47) 64
 
2.1%
(Missing) 2792
91.0%
ValueCountFrequency (%)
4.0 1
 
< 0.1%
40.0 98
3.2%
41.0 1
 
< 0.1%
42.0 6
 
0.2%
43.0 3
 
0.1%
44.0 3
 
0.1%
45.0 10
 
0.3%
46.0 5
 
0.2%
46.6 1
 
< 0.1%
47.0 8
 
0.3%
ValueCountFrequency (%)
388.0 1
< 0.1%
285.0 1
< 0.1%
250.0 1
< 0.1%
199.0 1
< 0.1%
181.0 2
0.1%
160.0 1
< 0.1%
156.0 1
< 0.1%
145.0 1
< 0.1%
142.0 1
< 0.1%
129.0 1
< 0.1%

노래방실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3067
Missing (%)100.0%
Memory size27.1 KiB

청소년실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3067
Missing (%)100.0%
Memory size27.1 KiB

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3067
Missing (%)100.0%
Memory size27.1 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3067
Missing (%)100.0%
Memory size27.1 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3067
Missing (%)100.0%
Memory size27.1 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3067
Missing (%)100.0%
Memory size27.1 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3067
Missing (%)100.0%
Memory size27.1 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3067
Missing (%)100.0%
Memory size27.1 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3067
Missing (%)100.0%
Memory size27.1 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3067
Missing (%)100.0%
Memory size27.1 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3067
Missing (%)100.0%
Memory size27.1 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3067
Missing (%)100.0%
Memory size27.1 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3067
Missing (%)100.0%
Memory size27.1 KiB

총게임기수
Real number (ℝ)

MISSING 

Distinct181
Distinct (%)7.9%
Missing774
Missing (%)25.2%
Infinite0
Infinite (%)0.0%
Mean59.406018
Minimum0
Maximum501
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size27.1 KiB
2024-04-22T04:05:39.744142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q140
median53
Q374
95-th percentile120
Maximum501
Range501
Interquartile range (IQR)34

Descriptive statistics

Standard deviation35.726815
Coefficient of variation (CV)0.6014006
Kurtosis15.718673
Mean59.406018
Median Absolute Deviation (MAD)15
Skewness2.3392305
Sum136218
Variance1276.4053
MonotonicityNot monotonic
2024-04-22T04:05:40.179664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40 195
 
6.4%
50 175
 
5.7%
60 85
 
2.8%
70 56
 
1.8%
30 53
 
1.7%
80 49
 
1.6%
45 41
 
1.3%
6 40
 
1.3%
65 37
 
1.2%
48 36
 
1.2%
Other values (171) 1526
49.8%
(Missing) 774
25.2%
ValueCountFrequency (%)
0 1
 
< 0.1%
2 1
 
< 0.1%
3 2
 
0.1%
4 8
 
0.3%
5 21
0.7%
6 40
1.3%
7 33
1.1%
8 25
0.8%
9 15
 
0.5%
10 31
1.0%
ValueCountFrequency (%)
501 1
< 0.1%
302 1
< 0.1%
298 1
< 0.1%
292 1
< 0.1%
290 1
< 0.1%
269 1
< 0.1%
252 1
< 0.1%
243 1
< 0.1%
240 1
< 0.1%
235 1
< 0.1%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3067
Missing (%)100.0%
Memory size27.1 KiB

제공게임물명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size24.1 KiB
<NA>
1987 
전체이용가
1062 
청소년이용불가
 
12
전체이용가 및 청소년이용불가
 
6

Length

Max length15
Median length4
Mean length4.379524
Min length4

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> 1987
64.8%
전체이용가 1062
34.6%
청소년이용불가 12
 
0.4%
전체이용가 및 청소년이용불가 6
 
0.2%

Length

2024-04-22T04:05:40.598224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T04:05:40.925754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1987
64.5%
전체이용가 1068
34.7%
청소년이용불가 18
 
0.6%
및 6
 
0.2%

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3067
Missing (%)100.0%
Memory size27.1 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3067
Missing (%)100.0%
Memory size27.1 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3067
Missing (%)100.0%
Memory size27.1 KiB

지역구분명
Categorical

IMBALANCE 

Distinct11
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size24.1 KiB
<NA>
2207 
일반상업지역
315 
일반주거지역
302 
준주거지역
 
116
상업지역
 
60
Other values (6)
 
67

Length

Max length6
Median length4
Mean length4.4639713
Min length4

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> 2207
72.0%
일반상업지역 315
 
10.3%
일반주거지역 302
 
9.8%
준주거지역 116
 
3.8%
상업지역 60
 
2.0%
주거지역 27
 
0.9%
근린상업지역 21
 
0.7%
중심상업지역 8
 
0.3%
준공업지역 7
 
0.2%
전용주거지역 2
 
0.1%

Length

2024-04-22T04:05:41.319187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 2207
72.0%
일반상업지역 315
 
10.3%
일반주거지역 302
 
9.8%
준주거지역 116
 
3.8%
상업지역 60
 
2.0%
주거지역 27
 
0.9%
근린상업지역 21
 
0.7%
중심상업지역 8
 
0.3%
준공업지역 7
 
0.2%
전용주거지역 2
 
0.1%

Unnamed: 59
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3067
Missing (%)100.0%
Memory size27.1 KiB

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명Unnamed: 59
01인터넷컴퓨터게임시설제공업03_05_05_P3250000CDFF224102200700000220071113<NA>3폐업3폐업20140422<NA><NA><NA><NA><NA><NA>부산광역시 중구 보수동1가 101-4번지부산광역시 중구 흑교로46번길 4-1 (보수동1가)600802사이버캐슬 PC방20140422103842I2018-08-31 23:59:59.0<NA>384618.565244180143.894543인터넷컴퓨터게임시설제공업유통관련업<NA><NA><NA>131.23<NA><NA><NA>50.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>48<NA><NA><NA><NA><NA><NA><NA>
12인터넷컴퓨터게임시설제공업03_05_05_P3250000CDFF224102200700000320071119<NA>3폐업3폐업20080710<NA><NA><NA><NA><NA>600805부산광역시 중구 부평동1가 49-7번지부산광역시 중구 비프광장로 11-1 (부평동1가)<NA>플러스PC방20080710115859I2018-08-31 23:59:59.0<NA>384715.239943179600.427737인터넷컴퓨터게임시설제공업유통관련업1<NA><NA>48.76<NA><NA>근린생활시설<NA>160.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>25<NA><NA><NA><NA><NA><NA><NA>
23인터넷컴퓨터게임시설제공업03_05_05_P3250000CDFF224102200700000420071205<NA>3폐업3폐업20080711<NA><NA><NA><NA><NA>600042부산광역시 중구 남포동2가 21-1번지부산광역시 중구 남포길 22-2 (남포동2가)<NA>룰루 PC20080711144349I2018-08-31 23:59:59.0<NA>385147.27475179610.282462인터넷컴퓨터게임시설제공업유통관련업4<NA><NA>117.2231근린생활시설<NA>50.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>30<NA><NA><NA><NA><NA><NA><NA>
34인터넷컴퓨터게임시설제공업03_05_05_P3250000CDFF224102200800000120080201<NA>3폐업3폐업20170630<NA><NA><NA><NA><NA><NA>부산광역시 중구 중앙동4가 40-5번지부산광역시 중구 대청로135번길 33 (중앙동4가)48928밀레니엄PC방20170703140237I2018-08-31 23:59:59.0<NA>385476.757676180425.305229인터넷컴퓨터게임시설제공업유통관련업<NA><NA><NA>117.523<NA>근린생활시설<NA>50.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>48<NA><NA><NA><NA><NA><NA><NA>
45인터넷컴퓨터게임시설제공업03_05_05_P3250000CDFF224102200800002020080623<NA>3폐업3폐업20130401<NA><NA><NA>0512457706<NA><NA>부산광역시 중구 남포동2가 21-5번지부산광역시 중구 남포길 20-2 (남포동2가)600042사이버리아 PC방 (남포1호점)20130401115940I2018-08-31 23:59:59.0<NA>385127.876227179621.591301인터넷컴퓨터게임시설제공업유통관련업5<NA><NA>104.32<NA>근린생활시설<NA>62.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>40<NA><NA><NA><NA><NA><NA><NA>
56인터넷컴퓨터게임시설제공업03_05_05_P3250000CDFF224102200700000120071102<NA>3폐업3폐업20160715<NA><NA><NA><NA><NA><NA>부산광역시 중구 영주동 160번지 동아아파트상가 1동 B02호부산광역시 중구 영주로 59 (영주동)48905TG ZONE PC방20160715113511I2018-08-31 23:59:59.0<NA>384985.258495181165.37135인터넷컴퓨터게임시설제공업유통관련업<NA><NA><NA>131.25<NA>1<NA><NA>50.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>50<NA><NA><NA><NA><NA><NA><NA>
67인터넷컴퓨터게임시설제공업03_05_05_P3250000CDFF224102200800000220080311<NA>3폐업3폐업20190919<NA><NA><NA><NA><NA><NA>부산광역시 중구 부평동2가 39-1번지부산광역시 중구 비프광장로 7, 3층 (부평동2가)48980CAMP PC방20190919152200U2019-09-21 02:40:00.0<NA>384664.149883179582.676485인터넷컴퓨터게임시설제공업유통관련업6유흥업소밀집지역<NA>158.963<NA>기타<NA>50.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>44<NA><NA><NA><NA><NA>일반상업지역<NA>
78인터넷컴퓨터게임시설제공업03_05_05_P3250000CDFF224102201000000320100423<NA>3폐업3폐업20151006<NA><NA><NA><NA><NA><NA>부산광역시 중구 남포동6가 108번지 지상3층부산광역시 중구 비프광장로 4-1 (남포동6가)48981LION PC20151006083827I2018-08-31 23:59:59.0<NA>384653.072801179543.44942인터넷컴퓨터게임시설제공업유통관련업5<NA>PC173.7641근린생활시설<NA>46.6<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>60<NA>전체이용가<NA><NA><NA><NA><NA>
89인터넷컴퓨터게임시설제공업03_05_05_P3250000CDFF224102200800001320080519<NA>3폐업3폐업20080630<NA><NA><NA><NA><NA><NA>부산광역시 중구 부평동1가 48-1번지부산광역시 중구 비프광장로 17 (부평동1가)600805코스모스 PC방20131226173754I2018-08-31 23:59:59.0<NA>384771.724964179616.989007인터넷컴퓨터게임시설제공업유통관련업2<NA><NA>163.681<NA>근린생활시설<NA>58.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>43<NA><NA><NA><NA><NA><NA><NA>
910인터넷컴퓨터게임시설제공업03_05_05_P3250000CDFF224102200800000620080411<NA>3폐업3폐업20131231<NA><NA><NA><NA><NA><NA>부산광역시 중구 동광동5가 9-3번지부산광역시 중구 동광길 101 (동광동5가)600025Top-Zone PC방20140113111224I2018-08-31 23:59:59.0<NA>385482.316054180585.617593인터넷컴퓨터게임시설제공업유통관련업4학교정화(상대)<NA>99.891<NA>다세대주택<NA>52.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>43<NA><NA><NA><NA><NA>일반상업지역<NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명Unnamed: 59
30573058인터넷컴퓨터게임시설제공업03_05_05_P3330000CDFF224102200800005020080522<NA>4취소/말소/만료/정지/중지35직권말소20201217<NA><NA><NA><NA><NA><NA>부산광역시 해운대구 좌동 397-1 3층부산광역시 해운대구 좌동로 105, 3층 (좌동)48079엑스컴20201217165856U2020-12-19 02:40:00.0<NA>398198.418722188168.585754인터넷컴퓨터게임시설제공업유통관련업<NA><NA><NA>202.943<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>61<NA>전체이용가<NA><NA><NA><NA><NA>
30583059인터넷컴퓨터게임시설제공업03_05_05_P3330000CDFF224102200800005120080522<NA>4취소/말소/만료/정지/중지35직권말소20201217<NA><NA><NA><NA><NA><NA>부산광역시 해운대구 좌동 1314-2 1층부산광역시 해운대구 세실로 64 (좌동)48107메가프리20201217165132U2020-12-19 02:40:00.0<NA>398320.764293187928.258298인터넷컴퓨터게임시설제공업유통관련업<NA><NA><NA>227.031<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>63<NA>전체이용가<NA><NA><NA><NA><NA>
30593060인터넷컴퓨터게임시설제공업03_05_05_P3330000CDFF224102200800005520080526<NA>4취소/말소/만료/정지/중지35직권말소20110829<NA><NA><NA><NA><NA><NA>부산광역시 해운대구 반여동 1291-518번지부산광역시 해운대구 재반로 220 (반여동)<NA>타임20120214113134I2018-08-31 23:59:59.0<NA>394022.998118190694.816879인터넷컴퓨터게임시설제공업유통관련업<NA><NA><NA>130.952<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>
30603061인터넷컴퓨터게임시설제공업03_05_05_P3330000CDFF224102200800005420080526<NA>4취소/말소/만료/정지/중지35직권말소20201217<NA><NA><NA><NA><NA><NA>부산광역시 해운대구 반송동 40-520 1층부산광역시 해운대구 반송로924번길 17-1 (반송동,1층)<NA>VJ PC존20201217165922U2020-12-19 02:40:00.0<NA>396214.771898194658.095633인터넷컴퓨터게임시설제공업유통관련업<NA><NA><NA>120.41<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>13<NA>전체이용가<NA><NA><NA><NA><NA>
30613062인터넷컴퓨터게임시설제공업03_05_05_P3330000CDFF224102200800002020080320<NA>4취소/말소/만료/정지/중지35직권말소20201217<NA><NA><NA><NA><NA><NA>부산광역시 해운대구 반송동 261-119 2층부산광역시 해운대구 아랫반송로21번길 54, 2층 (반송동)48017PC이야기20201217165423U2020-12-19 02:40:00.0<NA>395544.199944194054.595645인터넷컴퓨터게임시설제공업유통관련업<NA><NA><NA>83.852<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>41<NA>전체이용가<NA><NA><NA><NA><NA>
30623063인터넷컴퓨터게임시설제공업03_05_05_P3330000CDFF224102200800002520080422<NA>4취소/말소/만료/정지/중지35직권말소20201217<NA><NA><NA><NA><NA><NA>부산광역시 해운대구 반여동 1291-543부산광역시 해운대구 재반로 219-1 (반여동)48028K3 PC방20201217165457U2020-12-19 02:40:00.0<NA>393989.524021190710.507731인터넷컴퓨터게임시설제공업유통관련업<NA><NA><NA>146.643<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>
30633064인터넷컴퓨터게임시설제공업03_05_05_P3330000CDFF224102200800003920080522<NA>4취소/말소/만료/정지/중지35직권말소20201217<NA><NA><NA><NA><NA><NA>부산광역시 해운대구 반여동 1609-23 2층부산광역시 해운대구 재반로 243-1, 2층 (반여동)48024사이버파크20201217165803U2020-12-19 02:40:00.0<NA>394016.618663190943.634825인터넷컴퓨터게임시설제공업유통관련업<NA><NA><NA>139.732<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>46<NA>전체이용가<NA><NA><NA><NA><NA>
30643065인터넷컴퓨터게임시설제공업03_05_05_P3330000CDFF224102200800004320080522<NA>4취소/말소/만료/정지/중지35직권말소20201217<NA><NA><NA><NA><NA><NA>부산광역시 해운대구 재송동 1044-12 4층부산광역시 해운대구 재반로125번길 2, 4층 (재송동)48054RED PC20201217165829U2020-12-19 02:40:00.0<NA>393613.078433189908.318717인터넷컴퓨터게임시설제공업유통관련업<NA><NA><NA>146.864<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>49<NA>전체이용가<NA><NA><NA><NA><NA>
30653066인터넷컴퓨터게임시설제공업03_05_05_P3330000CDFF224102200800007520080721<NA>4취소/말소/만료/정지/중지35직권말소20170704<NA><NA><NA><NA><NA><NA>부산광역시 해운대구 우동 602-3 4층부산광역시 해운대구 중동1로 4, 4층 (우동)48095安 PC ZONE20201119165941U2020-11-21 02:40:00.0<NA>396755.399417187118.594204인터넷컴퓨터게임시설제공업유통관련업<NA><NA><NA>228.714<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>68<NA>전체이용가<NA><NA><NA><NA><NA>
30663067인터넷컴퓨터게임시설제공업03_05_05_P3330000CDFF224102200800007820080723<NA>4취소/말소/만료/정지/중지35직권말소20201217<NA><NA><NA><NA><NA><NA>부산광역시 해운대구 반송동 261-96 3층부산광역시 해운대구 아랫반송로21번길 58, 3층 (반송동)48017쇼크PC방20201217170124U2020-12-19 02:40:00.0<NA>395551.476468194066.980319인터넷컴퓨터게임시설제공업유통관련업<NA><NA><NA>89.763<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>34<NA>전체이용가<NA><NA><NA><NA><NA>