Overview

Dataset statistics

Number of variables60
Number of observations3073
Missing cells89332
Missing cells (%)48.4%
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

Description2021-06-01
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 (54.8%)Imbalance
건물용도명 is highly imbalanced (69.3%)Imbalance
제공게임물명 is highly imbalanced (50.8%)Imbalance
지역구분명 is highly imbalanced (57.8%)Imbalance
인허가취소일자 has 2923 (95.1%) missing valuesMissing
폐업일자 has 981 (31.9%) missing valuesMissing
재개업일자 has 3073 (100.0%) missing valuesMissing
소재지전화 has 2481 (80.7%) missing valuesMissing
소재지면적 has 3073 (100.0%) missing valuesMissing
소재지우편번호 has 2923 (95.1%) missing valuesMissing
도로명전체주소 has 106 (3.4%) missing valuesMissing
도로명우편번호 has 1049 (34.1%) missing valuesMissing
업태구분명 has 3073 (100.0%) missing valuesMissing
총층수 has 1602 (52.1%) missing valuesMissing
제작취급품목내용 has 2967 (96.6%) missing valuesMissing
지상층수 has 889 (28.9%) missing valuesMissing
지하층수 has 2201 (71.6%) missing valuesMissing
통로너비 has 3073 (100.0%) missing valuesMissing
조명시설조도 has 2797 (91.0%) missing valuesMissing
노래방실수 has 3073 (100.0%) missing valuesMissing
청소년실수 has 3073 (100.0%) missing valuesMissing
비상계단여부 has 3073 (100.0%) missing valuesMissing
비상구여부 has 3073 (100.0%) missing valuesMissing
자동환기여부 has 3073 (100.0%) missing valuesMissing
청소년실여부 has 3073 (100.0%) missing valuesMissing
특수조명여부 has 3073 (100.0%) missing valuesMissing
방음시설여부 has 3073 (100.0%) missing valuesMissing
비디오재생기명 has 3073 (100.0%) missing valuesMissing
조명시설유무 has 3073 (100.0%) missing valuesMissing
음향시설여부 has 3073 (100.0%) missing valuesMissing
편의시설여부 has 3073 (100.0%) missing valuesMissing
소방시설여부 has 3073 (100.0%) missing valuesMissing
총게임기수 has 771 (25.1%) missing valuesMissing
기존게임업외업종명 has 3073 (100.0%) missing valuesMissing
공연장형태구분명 has 3073 (100.0%) missing valuesMissing
품목명 has 3073 (100.0%) missing valuesMissing
최초등록시점 has 3073 (100.0%) missing valuesMissing
Unnamed: 59 has 3073 (100.0%) missing valuesMissing
시설면적 is highly skewed (γ1 = 55.24020807)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 19:13:06.273687
Analysis finished2024-04-21 19:13:08.453919
Duration2.18 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct3073
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1537
Minimum1
Maximum3073
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.1 KiB
2024-04-22T04:13:08.639587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile154.6
Q1769
median1537
Q32305
95-th percentile2919.4
Maximum3073
Range3072
Interquartile range (IQR)1536

Descriptive statistics

Standard deviation887.24301
Coefficient of variation (CV)0.57725635
Kurtosis-1.2
Mean1537
Median Absolute Deviation (MAD)768
Skewness0
Sum4723201
Variance787200.17
MonotonicityStrictly increasing
2024-04-22T04:13:09.073234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
2306 1
 
< 0.1%
2044 1
 
< 0.1%
2045 1
 
< 0.1%
2046 1
 
< 0.1%
2047 1
 
< 0.1%
2048 1
 
< 0.1%
2049 1
 
< 0.1%
2050 1
 
< 0.1%
2051 1
 
< 0.1%
Other values (3063) 3063
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 (%)
3073 1
< 0.1%
3072 1
< 0.1%
3071 1
< 0.1%
3070 1
< 0.1%
3069 1
< 0.1%
3068 1
< 0.1%
3067 1
< 0.1%
3066 1
< 0.1%
3065 1
< 0.1%
3064 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size24.1 KiB
인터넷컴퓨터게임시설제공업
3073 

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 3073
100.0%

Length

2024-04-22T04:13:09.492378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T04:13:09.793220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인터넷컴퓨터게임시설제공업 3073
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size24.1 KiB
03_05_05_P
3073 

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 3073
100.0%

Length

2024-04-22T04:13:10.068869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T04:13:10.242088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_05_05_p 3073
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3327452
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.1 KiB
2024-04-22T04:13:10.396768image/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 deviation39806.454
Coefficient of variation (CV)0.011963044
Kurtosis-0.84058767
Mean3327452
Median Absolute Deviation (MAD)30000
Skewness0.058638656
Sum1.022526 × 1010
Variance1.5845538 × 109
MonotonicityNot monotonic
2024-04-22T04:13:10.669975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3290000 390
12.7%
3330000 326
10.6%
3310000 271
8.8%
3340000 269
8.8%
3300000 263
8.6%
3390000 233
7.6%
3350000 221
7.2%
3370000 215
7.0%
3320000 206
6.7%
3380000 172
 
5.6%
Other values (6) 507
16.5%
ValueCountFrequency (%)
3250000 122
 
4.0%
3260000 78
 
2.5%
3270000 70
 
2.3%
3280000 86
 
2.8%
3290000 390
12.7%
3300000 263
8.6%
3310000 271
8.8%
3320000 206
6.7%
3330000 326
10.6%
3340000 269
8.8%
ValueCountFrequency (%)
3400000 101
 
3.3%
3390000 233
7.6%
3380000 172
5.6%
3370000 215
7.0%
3360000 50
 
1.6%
3350000 221
7.2%
3340000 269
8.8%
3330000 326
10.6%
3320000 206
6.7%
3310000 271
8.8%

관리번호
Text

Distinct453
Distinct (%)14.7%
Missing0
Missing (%)0.0%
Memory size24.1 KiB
2024-04-22T04:13:11.400462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters61460
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 (%)
cdff2241022014000001 16
 
0.5%
cdff2241022019000001 16
 
0.5%
cdff2241022015000002 16
 
0.5%
cdff2241022007000003 16
 
0.5%
cdff2241022015000001 16
 
0.5%
cdff2241022008000004 16
 
0.5%
cdff2241022013000001 16
 
0.5%
cdff2241022011000003 16
 
0.5%
cdff2241022008000002 16
 
0.5%
cdff2241022010000001 16
 
0.5%
Other values (443) 2913
94.8%
2024-04-22T04:13:12.498669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 22029
35.8%
2 13167
21.4%
F 6146
 
10.0%
1 5675
 
9.2%
4 3796
 
6.2%
C 3073
 
5.0%
D 3073
 
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 49168
80.0%
Uppercase Letter 12292
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 22029
44.8%
2 13167
26.8%
1 5675
 
11.5%
4 3796
 
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 6146
50.0%
C 3073
25.0%
D 3073
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 49168
80.0%
Latin 12292
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 22029
44.8%
2 13167
26.8%
1 5675
 
11.5%
4 3796
 
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 6146
50.0%
C 3073
25.0%
D 3073
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 61460
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 22029
35.8%
2 13167
21.4%
F 6146
 
10.0%
1 5675
 
9.2%
4 3796
 
6.2%
C 3073
 
5.0%
D 3073
 
5.0%
8 1394
 
2.3%
7 842
 
1.4%
3 651
 
1.1%
Other values (3) 1614
 
2.6%

인허가일자
Real number (ℝ)

Distinct1507
Distinct (%)49.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20108069
Minimum20010109
Maximum20210426
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.1 KiB
2024-04-22T04:13:12.914276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20010109
5-th percentile20070928
Q120080519
median20090527
Q320140603
95-th percentile20190109
Maximum20210426
Range200317
Interquartile range (IQR)60084

Descriptive statistics

Standard deviation39668.4
Coefficient of variation (CV)0.0019727603
Kurtosis-0.28766211
Mean20108069
Median Absolute Deviation (MAD)19408
Skewness0.6772554
Sum6.1792097 × 1010
Variance1.5735819 × 109
MonotonicityNot monotonic
2024-04-22T04:13:13.368433image/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%
20080516 23
 
0.7%
20071119 23
 
0.7%
20080730 21
 
0.7%
Other values (1497) 2796
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 (%)
20210426 1
< 0.1%
20210319 1
< 0.1%
20210317 1
< 0.1%
20210316 1
< 0.1%
20210312 1
< 0.1%
20210209 1
< 0.1%
20210119 1
< 0.1%
20210115 1
< 0.1%
20201218 1
< 0.1%
20201217 1
< 0.1%

인허가취소일자
Real number (ℝ)

MISSING 

Distinct136
Distinct (%)90.7%
Missing2923
Missing (%)95.1%
Infinite0
Infinite (%)0.0%
Mean20125415
Minimum20071226
Maximum20210319
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.1 KiB
2024-04-22T04:13:13.786506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20071226
5-th percentile20090107
Q120100408
median20110866
Q320150721
95-th percentile20200677
Maximum20210319
Range139093
Interquartile range (IQR)50313.75

Descriptive statistics

Standard deviation34233.329
Coefficient of variation (CV)0.0017009999
Kurtosis-0.22243944
Mean20125415
Median Absolute Deviation (MAD)20197
Skewness0.77779571
Sum3.0188123 × 109
Variance1.1719208 × 109
MonotonicityNot monotonic
2024-04-22T04:13:14.232262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20150827 3
 
0.1%
20101213 2
 
0.1%
20110523 2
 
0.1%
20100402 2
 
0.1%
20150824 2
 
0.1%
20210319 2
 
0.1%
20090714 2
 
0.1%
20090910 2
 
0.1%
20101201 2
 
0.1%
20150528 2
 
0.1%
Other values (126) 129
 
4.2%
(Missing) 2923
95.1%
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 (%)
20210319 2
0.1%
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%

영업상태구분코드
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size24.1 KiB
3
1763 
1
788 
4
520 
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 1763
57.4%
1 788
25.6%
4 520
 
16.9%
2 2
 
0.1%

Length

2024-04-22T04:13:14.650271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T04:13:14.970281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 1763
57.4%
1 788
25.6%
4 520
 
16.9%
2 2
 
0.1%

영업상태명
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size24.1 KiB
폐업
1763 
영업/정상
788 
취소/말소/만료/정지/중지
520 
휴업
 
2

Length

Max length14
Median length2
Mean length4.7998698
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 1763
57.4%
영업/정상 788
25.6%
취소/말소/만료/정지/중지 520
 
16.9%
휴업 2
 
0.1%

Length

2024-04-22T04:13:15.340180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T04:13:15.671106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1763
57.4%
영업/정상 788
25.6%
취소/말소/만료/정지/중지 520
 
16.9%
휴업 2
 
0.1%

상세영업상태코드
Real number (ℝ)

Distinct8
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.779043
Minimum2
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.1 KiB
2024-04-22T04:13:15.967763image/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 deviation11.247178
Coefficient of variation (CV)1.0434301
Kurtosis0.2270792
Mean10.779043
Median Absolute Deviation (MAD)0
Skewness1.2956676
Sum33124
Variance126.49901
MonotonicityNot monotonic
2024-04-22T04:13:16.311227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3 1763
57.4%
13 788
25.6%
35 368
 
12.0%
31 149
 
4.8%
2 2
 
0.1%
33 1
 
< 0.1%
25 1
 
< 0.1%
30 1
 
< 0.1%
ValueCountFrequency (%)
2 2
 
0.1%
3 1763
57.4%
13 788
25.6%
25 1
 
< 0.1%
30 1
 
< 0.1%
31 149
 
4.8%
33 1
 
< 0.1%
35 368
 
12.0%
ValueCountFrequency (%)
35 368
 
12.0%
33 1
 
< 0.1%
31 149
 
4.8%
30 1
 
< 0.1%
25 1
 
< 0.1%
13 788
25.6%
3 1763
57.4%
2 2
 
0.1%

상세영업상태명
Categorical

Distinct8
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size24.1 KiB
폐업
1763 
영업중
788 
직권말소
368 
등록취소
 
149
휴업
 
2
Other values (3)
 
3

Length

Max length4
Median length2
Mean length2.5948584
Min length2

Unique

Unique3 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 1763
57.4%
영업중 788
25.6%
직권말소 368
 
12.0%
등록취소 149
 
4.8%
휴업 2
 
0.1%
지정취소 1
 
< 0.1%
영업정지 1
 
< 0.1%
허가취소 1
 
< 0.1%

Length

2024-04-22T04:13:16.743990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T04:13:17.118168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1763
57.4%
영업중 788
25.6%
직권말소 368
 
12.0%
등록취소 149
 
4.8%
휴업 2
 
0.1%
지정취소 1
 
< 0.1%
영업정지 1
 
< 0.1%
허가취소 1
 
< 0.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct1350
Distinct (%)64.5%
Missing981
Missing (%)31.9%
Infinite0
Infinite (%)0.0%
Mean20144866
Minimum20070928
Maximum20210426
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.1 KiB
2024-04-22T04:13:17.511091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20070928
5-th percentile20090504
Q120111209
median20141028
Q320171012
95-th percentile20200806
Maximum20210426
Range139498
Interquartile range (IQR)59803.5

Descriptive statistics

Standard deviation35568.011
Coefficient of variation (CV)0.0017656117
Kurtosis-1.0437356
Mean20144866
Median Absolute Deviation (MAD)29898
Skewness0.053737058
Sum4.2143059 × 1010
Variance1.2650834 × 109
MonotonicityNot monotonic
2024-04-22T04:13:17.945894image/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%
20171227 11
 
0.4%
Other values (1340) 1885
61.3%
(Missing) 981
31.9%
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 (%)
20210426 1
< 0.1%
20210415 1
< 0.1%
20210412 1
< 0.1%
20210409 1
< 0.1%
20210407 1
< 0.1%
20210405 1
< 0.1%
20210331 2
0.1%
20210325 1
< 0.1%
20210322 1
< 0.1%
20210310 1
< 0.1%

휴업시작일자
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size24.1 KiB
<NA>
3070 
20160906
 
1
20201111
 
1
20191023
 
1

Length

Max length8
Median length4
Mean length4.003905
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> 3070
99.9%
20160906 1
 
< 0.1%
20201111 1
 
< 0.1%
20191023 1
 
< 0.1%

Length

2024-04-22T04:13:18.397164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T04:13:18.746961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3070
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>
3070 
20161005
 
1
20201130
 
1
21191023
 
1

Length

Max length8
Median length4
Mean length4.003905
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> 3070
99.9%
20161005 1
 
< 0.1%
20201130 1
 
< 0.1%
21191023 1
 
< 0.1%

Length

2024-04-22T04:13:19.132514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T04:13:19.482919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3070
99.9%
20161005 1
 
< 0.1%
20201130 1
 
< 0.1%
21191023 1
 
< 0.1%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3073
Missing (%)100.0%
Memory size27.1 KiB

소재지전화
Text

MISSING 

Distinct579
Distinct (%)97.8%
Missing2481
Missing (%)80.7%
Memory size24.1 KiB
2024-04-22T04:13:20.352788image/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%
2024-04-22T04:13:21.692056image/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 

Missing3073
Missing (%)100.0%
Memory size27.1 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct110
Distinct (%)73.3%
Missing2923
Missing (%)95.1%
Infinite0
Infinite (%)0.0%
Mean609288.03
Minimum600042
Maximum619961
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.1 KiB
2024-04-22T04:13:22.352131image/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
2024-04-22T04:13:22.815360image/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) 2923
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

Distinct2808
Distinct (%)91.5%
Missing4
Missing (%)0.1%
Memory size24.1 KiB
2024-04-22T04:13:23.979125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length47
Mean length24.49886
Min length12

Characters and Unicode

Total characters75187
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

Unique2595 ?
Unique (%)84.6%

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 3069
 
21.5%
부산진구 390
 
2.7%
해운대구 326
 
2.3%
2층 276
 
1.9%
남구 271
 
1.9%
사하구 269
 
1.9%
동래구 262
 
1.8%
사상구 233
 
1.6%
금정구 220
 
1.5%
연제구 215
 
1.5%
Other values (3118) 8760
61.3%
2024-04-22T04:13:25.595645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11224
 
14.9%
부 3737
 
5.0%
산 3695
 
4.9%
동 3432
 
4.6%
1 3412
 
4.5%
지 3354
 
4.5%
광 3157
 
4.2%
구 3095
 
4.1%
역 3083
 
4.1%
시 3080
 
4.1%
Other values (360) 33918
45.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 44210
58.8%
Decimal Number 15902
 
21.1%
Space Separator 11224
 
14.9%
Dash Punctuation 2866
 
3.8%
Close Punctuation 417
 
0.6%
Open 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 3737
 
8.5%
산 3695
 
8.4%
동 3432
 
7.8%
지 3354
 
7.6%
광 3157
 
7.1%
구 3095
 
7.0%
역 3083
 
7.0%
시 3080
 
7.0%
번 2766
 
6.3%
층 1156
 
2.6%
Other values (321) 13655
30.9%
Uppercase Letter
ValueCountFrequency (%)
P 18
26.1%
C 16
23.2%
B 12
17.4%
A 8
11.6%
O 2
 
2.9%
I 2
 
2.9%
G 2
 
2.9%
L 2
 
2.9%
H 1
 
1.4%
Z 1
 
1.4%
Other values (5) 5
 
7.2%
Decimal Number
ValueCountFrequency (%)
1 3412
21.5%
2 2572
16.2%
3 1897
11.9%
4 1482
9.3%
5 1306
 
8.2%
6 1158
 
7.3%
0 1122
 
7.1%
7 1036
 
6.5%
9 961
 
6.0%
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%
k 1
20.0%
l 1
20.0%
u 1
20.0%
Space Separator
ValueCountFrequency (%)
11224
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2866
100.0%
Close Punctuation
ValueCountFrequency (%)
) 417
100.0%
Open Punctuation
ValueCountFrequency (%)
( 417
100.0%
Math Symbol
ValueCountFrequency (%)
~ 7
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 44210
58.8%
Common 30901
41.1%
Latin 76
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 3737
 
8.5%
산 3695
 
8.4%
동 3432
 
7.8%
지 3354
 
7.6%
광 3157
 
7.1%
구 3095
 
7.0%
역 3083
 
7.0%
시 3080
 
7.0%
번 2766
 
6.3%
층 1156
 
2.6%
Other values (321) 13655
30.9%
Latin
ValueCountFrequency (%)
P 18
23.7%
C 16
21.1%
B 12
15.8%
A 8
10.5%
s 2
 
2.6%
Ⅱ 2
 
2.6%
O 2
 
2.6%
I 2
 
2.6%
G 2
 
2.6%
L 2
 
2.6%
Other values (10) 10
13.2%
Common
ValueCountFrequency (%)
11224
36.3%
1 3412
 
11.0%
- 2866
 
9.3%
2 2572
 
8.3%
3 1897
 
6.1%
4 1482
 
4.8%
5 1306
 
4.2%
6 1158
 
3.7%
0 1122
 
3.6%
7 1036
 
3.4%
Other values (9) 2826
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 44210
58.8%
ASCII 30975
41.2%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11224
36.2%
1 3412
 
11.0%
- 2866
 
9.3%
2 2572
 
8.3%
3 1897
 
6.1%
4 1482
 
4.8%
5 1306
 
4.2%
6 1158
 
3.7%
0 1122
 
3.6%
7 1036
 
3.3%
Other values (28) 2900
 
9.4%
Hangul
ValueCountFrequency (%)
부 3737
 
8.5%
산 3695
 
8.4%
동 3432
 
7.8%
지 3354
 
7.6%
광 3157
 
7.1%
구 3095
 
7.0%
역 3083
 
7.0%
시 3080
 
7.0%
번 2766
 
6.3%
층 1156
 
2.6%
Other values (321) 13655
30.9%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
100.0%

도로명전체주소
Text

MISSING 

Distinct2813
Distinct (%)94.8%
Missing106
Missing (%)3.4%
Memory size24.1 KiB
2024-04-22T04:13:26.887932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length48
Mean length28.88844
Min length20

Characters and Unicode

Total characters85712
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

Unique2679 ?
Unique (%)90.3%

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 2967
 
17.9%
부산진구 378
 
2.3%
2층 360
 
2.2%
해운대구 322
 
1.9%
남구 271
 
1.6%
사하구 261
 
1.6%
동래구 258
 
1.6%
사상구 226
 
1.4%
금정구 220
 
1.3%
3층 215
 
1.3%
Other values (2339) 11138
67.0%
2024-04-22T04:13:28.604454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
14375
 
16.8%
부 3662
 
4.3%
산 3627
 
4.2%
동 3623
 
4.2%
광 3183
 
3.7%
( 3129
 
3.7%
) 3129
 
3.7%
시 3087
 
3.6%
구 3083
 
3.6%
역 2982
 
3.5%
Other values (393) 41832
48.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 50179
58.5%
Space Separator 14375
 
16.8%
Decimal Number 12487
 
14.6%
Open Punctuation 3129
 
3.7%
Close Punctuation 3129
 
3.7%
Other Punctuation 1925
 
2.2%
Dash Punctuation 396
 
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 3662
 
7.3%
산 3627
 
7.2%
동 3623
 
7.2%
광 3183
 
6.3%
시 3087
 
6.2%
구 3083
 
6.1%
역 2982
 
5.9%
로 2949
 
5.9%
층 1568
 
3.1%
대 1244
 
2.5%
Other values (351) 21171
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%
G 3
 
4.0%
L 3
 
4.0%
W 2
 
2.7%
I 2
 
2.7%
N 2
 
2.7%
Other values (9) 12
16.0%
Decimal Number
ValueCountFrequency (%)
1 2774
22.2%
2 2217
17.8%
3 1521
12.2%
4 1128
9.0%
6 912
 
7.3%
5 909
 
7.3%
0 864
 
6.9%
8 767
 
6.1%
7 729
 
5.8%
9 666
 
5.3%
Lowercase Letter
ValueCountFrequency (%)
s 2
40.0%
k 1
20.0%
l 1
20.0%
u 1
20.0%
Other Punctuation
ValueCountFrequency (%)
, 1923
99.9%
. 1
 
0.1%
/ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
14375
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3129
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3129
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 396
100.0%
Math Symbol
ValueCountFrequency (%)
~ 10
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 50179
58.5%
Common 35451
41.4%
Latin 82
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 3662
 
7.3%
산 3627
 
7.2%
동 3623
 
7.2%
광 3183
 
6.3%
시 3087
 
6.2%
구 3083
 
6.1%
역 2982
 
5.9%
로 2949
 
5.9%
층 1568
 
3.1%
대 1244
 
2.5%
Other values (351) 21171
42.2%
Latin
ValueCountFrequency (%)
P 16
19.5%
C 15
18.3%
A 9
11.0%
B 7
 
8.5%
O 4
 
4.9%
G 3
 
3.7%
L 3
 
3.7%
W 2
 
2.4%
Ⅱ 2
 
2.4%
I 2
 
2.4%
Other values (14) 19
23.2%
Common
ValueCountFrequency (%)
14375
40.5%
( 3129
 
8.8%
) 3129
 
8.8%
1 2774
 
7.8%
2 2217
 
6.3%
, 1923
 
5.4%
3 1521
 
4.3%
4 1128
 
3.2%
6 912
 
2.6%
5 909
 
2.6%
Other values (8) 3434
 
9.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 50179
58.5%
ASCII 35531
41.5%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
14375
40.5%
( 3129
 
8.8%
) 3129
 
8.8%
1 2774
 
7.8%
2 2217
 
6.2%
, 1923
 
5.4%
3 1521
 
4.3%
4 1128
 
3.2%
6 912
 
2.6%
5 909
 
2.6%
Other values (31) 3514
 
9.9%
Hangul
ValueCountFrequency (%)
부 3662
 
7.3%
산 3627
 
7.2%
동 3623
 
7.2%
광 3183
 
6.3%
시 3087
 
6.2%
구 3083
 
6.1%
역 2982
 
5.9%
로 2949
 
5.9%
층 1568
 
3.1%
대 1244
 
2.5%
Other values (351) 21171
42.2%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct805
Distinct (%)39.8%
Missing1049
Missing (%)34.1%
Infinite0
Infinite (%)0.0%
Mean180376.59
Minimum46008
Maximum619963
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.1 KiB
2024-04-22T04:13:29.001285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46008
5-th percentile46283
Q147240.75
median48230
Q349482
95-th percentile614846
Maximum619963
Range573955
Interquartile range (IQR)2241.25

Descriptive statistics

Standard deviation238841.39
Coefficient of variation (CV)1.3241263
Kurtosis-0.44500116
Mean180376.59
Median Absolute Deviation (MAD)1154
Skewness1.2468871
Sum3.6508221 × 108
Variance5.7045209 × 1010
MonotonicityNot monotonic
2024-04-22T04:13:29.421706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
608020 48
 
1.6%
48981 24
 
0.8%
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) 1795
58.4%
(Missing) 1049
34.1%
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

Distinct2574
Distinct (%)83.8%
Missing0
Missing (%)0.0%
Memory size24.1 KiB
2024-04-22T04:13:30.249072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length20
Mean length7.1786528
Min length1

Characters and Unicode

Total characters22060
Distinct characters594
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

Unique2263 ?
Unique (%)73.6%

Sample

1st row사이버캐슬 PC방
2nd row플러스PC방
3rd row룰루 PC
4th row밀레니엄PC방
5th row사이버리아 PC방 (남포1호점)
ValueCountFrequency (%)
pc방 738
 
14.0%
pc 554
 
10.5%
zone 88
 
1.7%
pc존 74
 
1.4%
cafe 41
 
0.8%
ox 40
 
0.8%
피시방 31
 
0.6%
유니넷 20
 
0.4%
아이비스 18
 
0.3%
아망떼 18
 
0.3%
Other values (2303) 3668
69.3%
2024-04-22T04:13:31.508725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
C 2663
 
12.1%
P 2627
 
11.9%
2225
 
10.1%
방 1480
 
6.7%
이 626
 
2.8%
스 451
 
2.0%
점 400
 
1.8%
아 340
 
1.5%
존 302
 
1.4%
드 244
 
1.1%
Other values (584) 10702
48.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11913
54.0%
Uppercase Letter 6689
30.3%
Space Separator 2225
 
10.1%
Lowercase Letter 825
 
3.7%
Decimal Number 136
 
0.6%
Open Punctuation 94
 
0.4%
Close Punctuation 94
 
0.4%
Dash Punctuation 39
 
0.2%
Other Punctuation 38
 
0.2%
Letter Number 3
 
< 0.1%
Other values (3) 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
방 1480
 
12.4%
이 626
 
5.3%
스 451
 
3.8%
점 400
 
3.4%
아 340
 
2.9%
존 302
 
2.5%
드 244
 
2.0%
피 219
 
1.8%
리 175
 
1.5%
시 154
 
1.3%
Other values (506) 7522
63.1%
Uppercase Letter
ValueCountFrequency (%)
C 2663
39.8%
P 2627
39.3%
O 209
 
3.1%
E 152
 
2.3%
N 135
 
2.0%
Z 98
 
1.5%
A 96
 
1.4%
X 70
 
1.0%
S 62
 
0.9%
T 61
 
0.9%
Other values (15) 516
 
7.7%
Lowercase Letter
ValueCountFrequency (%)
c 137
16.6%
e 126
15.3%
p 119
14.4%
o 90
10.9%
n 84
10.2%
a 56
6.8%
f 28
 
3.4%
i 23
 
2.8%
r 22
 
2.7%
h 20
 
2.4%
Other values (15) 120
14.5%
Other Punctuation
ValueCountFrequency (%)
. 18
47.4%
& 11
28.9%
@ 2
 
5.3%
: 1
 
2.6%
· 1
 
2.6%
． 1
 
2.6%
/ 1
 
2.6%
' 1
 
2.6%
# 1
 
2.6%
! 1
 
2.6%
Decimal Number
ValueCountFrequency (%)
2 46
33.8%
1 31
22.8%
3 28
20.6%
7 11
 
8.1%
5 6
 
4.4%
0 5
 
3.7%
4 3
 
2.2%
9 3
 
2.2%
6 3
 
2.2%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
66.7%
Ⅰ 1
33.3%
Space Separator
ValueCountFrequency (%)
2225
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%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Other Number
ValueCountFrequency (%)
₂ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11912
54.0%
Latin 7517
34.1%
Common 2630
 
11.9%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
방 1480
 
12.4%
이 626
 
5.3%
스 451
 
3.8%
점 400
 
3.4%
아 340
 
2.9%
존 302
 
2.5%
드 244
 
2.0%
피 219
 
1.8%
리 175
 
1.5%
시 154
 
1.3%
Other values (505) 7521
63.1%
Latin
ValueCountFrequency (%)
C 2663
35.4%
P 2627
34.9%
O 209
 
2.8%
E 152
 
2.0%
c 137
 
1.8%
N 135
 
1.8%
e 126
 
1.7%
p 119
 
1.6%
Z 98
 
1.3%
A 96
 
1.3%
Other values (42) 1155
15.4%
Common
ValueCountFrequency (%)
2225
84.6%
( 94
 
3.6%
) 94
 
3.6%
2 46
 
1.7%
- 39
 
1.5%
1 31
 
1.2%
3 28
 
1.1%
. 18
 
0.7%
& 11
 
0.4%
7 11
 
0.4%
Other values (16) 33
 
1.3%
Han
ValueCountFrequency (%)
安 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11906
54.0%
ASCII 10141
46.0%
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 2663
26.3%
P 2627
25.9%
2225
21.9%
O 209
 
2.1%
E 152
 
1.5%
c 137
 
1.4%
N 135
 
1.3%
e 126
 
1.2%
p 119
 
1.2%
Z 98
 
1.0%
Other values (63) 1650
16.3%
Hangul
ValueCountFrequency (%)
방 1480
 
12.4%
이 626
 
5.3%
스 451
 
3.8%
점 400
 
3.4%
아 340
 
2.9%
존 302
 
2.5%
드 244
 
2.0%
피 219
 
1.8%
리 175
 
1.5%
시 154
 
1.3%
Other values (504) 7515
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%
． 1
33.3%
₂ 1
33.3%

최종수정시점
Real number (ℝ)

Distinct3072
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0153014 × 1013
Minimum2.007112 × 1013
Maximum2.0210426 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.1 KiB
2024-04-22T04:13:31.909642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.007112 × 1013
5-th percentile2.0091202 × 1013
Q12.012103 × 1013
median2.0151029 × 1013
Q32.018122 × 1013
95-th percentile2.0201105 × 1013
Maximum2.0210426 × 1013
Range1.3930604 × 1011
Interquartile range (IQR)6.0189921 × 1010

Descriptive statistics

Standard deviation3.5828274 × 1010
Coefficient of variation (CV)0.0017778122
Kurtosis-1.108166
Mean2.0153014 × 1013
Median Absolute Deviation (MAD)3.0122001 × 1010
Skewness-0.19523368
Sum6.1930211 × 1016
Variance1.2836652 × 1021
MonotonicityNot monotonic
2024-04-22T04:13:32.345738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20180423171018 2
 
0.1%
20140422103842 1
 
< 0.1%
20120105132306 1
 
< 0.1%
20120524113145 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%
Other values (3062) 3062
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 (%)
20210426170358 1
< 0.1%
20210426162651 1
< 0.1%
20210423173648 1
< 0.1%
20210423173626 1
< 0.1%
20210416111641 1
< 0.1%
20210415141855 1
< 0.1%
20210413115349 1
< 0.1%
20210412171741 1
< 0.1%
20210409135325 1
< 0.1%
20210409102442 1
< 0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size24.1 KiB
I
2334 
U
739 

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 2334
76.0%
U 739
 
24.0%

Length

2024-04-22T04:13:32.762742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T04:13:33.071225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 2334
76.0%
u 739
 
24.0%

데이터갱신일자
Date

Distinct454
Distinct (%)14.8%
Missing0
Missing (%)0.0%
Memory size24.1 KiB
Minimum2018-08-31 23:59:59
Maximum2021-04-28 02:40:00
2024-04-22T04:13:33.407838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T04:13:33.813415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3073
Missing (%)100.0%
Memory size27.1 KiB

좌표정보(x)
Real number (ℝ)

Distinct2320
Distinct (%)75.8%
Missing14
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean388043.03
Minimum366779.27
Maximum407373.16
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.1 KiB
2024-04-22T04:13:34.207401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum366779.27
5-th percentile379506.66
Q1383860.78
median388459.3
Q3391462.77
95-th percentile398180.1
Maximum407373.16
Range40593.886
Interquartile range (IQR)7601.9851

Descriptive statistics

Standard deviation5639.4198
Coefficient of variation (CV)0.014532976
Kurtosis0.31821919
Mean388043.03
Median Absolute Deviation (MAD)3731.1701
Skewness0.054377283
Sum1.1870236 × 109
Variance31803056
MonotonicityNot monotonic
2024-04-22T04:13:34.661148image/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%
391834.082986499 6
 
0.2%
389719.695026166 6
 
0.2%
388235.811951803 6
 
0.2%
384768.319655951 5
 
0.2%
392813.826326522 5
 
0.2%
384728.129972313 5
 
0.2%
398159.324550037 5
 
0.2%
387507.602320431 5
 
0.2%
Other values (2310) 3002
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)

Distinct2320
Distinct (%)75.8%
Missing14
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean187138.23
Minimum173895.66
Maximum206102.96
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.1 KiB
2024-04-22T04:13:35.075038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum173895.66
5-th percentile178405.08
Q1183668.2
median187306.75
Q3191031.9
95-th percentile195894.88
Maximum206102.96
Range32207.309
Interquartile range (IQR)7363.7046

Descriptive statistics

Standard deviation5628.9056
Coefficient of variation (CV)0.030078865
Kurtosis0.12302004
Mean187138.23
Median Absolute Deviation (MAD)3692.6271
Skewness0.2225081
Sum5.7245586 × 108
Variance31684578
MonotonicityNot monotonic
2024-04-22T04:13:35.496251image/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%
189185.417047275 6
 
0.2%
189529.091207964 6
 
0.2%
191334.579366972 6
 
0.2%
179566.176779483 5
 
0.2%
187410.981398455 5
 
0.2%
179576.657457487 5
 
0.2%
188084.467737712 5
 
0.2%
185913.618007298 5
 
0.2%
Other values (2310) 3002
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
3073 

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 3073
100.0%

Length

2024-04-22T04:13:35.906597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T04:13:36.208905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인터넷컴퓨터게임시설제공업 3073
100.0%

문화사업자구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size24.1 KiB
유통관련업
3073 

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 3073
100.0%

Length

2024-04-22T04:13:36.523889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T04:13:36.827736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 3073
100.0%

총층수
Real number (ℝ)

MISSING 

Distinct26
Distinct (%)1.8%
Missing1602
Missing (%)52.1%
Infinite0
Infinite (%)0.0%
Mean5.0414684
Minimum0
Maximum39
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size27.1 KiB
2024-04-22T04:13:37.127840image/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
2024-04-22T04:13:37.535177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
5 305
 
9.9%
4 293
 
9.5%
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) 1602
52.1%
ValueCountFrequency (%)
0 1
 
< 0.1%
1 72
 
2.3%
2 135
4.4%
3 212
6.9%
4 293
9.5%
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>
2382 
기타
370 
유흥업소밀집지역
 
135
주택가주변
 
128
아파트지역
 
34

Length

Max length8
Median length4
Mean length4.0188741
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> 2382
77.5%
기타 370
 
12.0%
유흥업소밀집지역 135
 
4.4%
주택가주변 128
 
4.2%
아파트지역 34
 
1.1%
학교정화(상대) 24
 
0.8%

Length

2024-04-22T04:13:37.961748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T04:13:38.302491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2382
77.5%
기타 370
 
12.0%
유흥업소밀집지역 135
 
4.4%
주택가주변 128
 
4.2%
아파트지역 34
 
1.1%
학교정화(상대 24
 
0.8%

제작취급품목내용
Text

MISSING 

Distinct77
Distinct (%)72.6%
Missing2967
Missing (%)96.6%
Memory size24.1 KiB
2024-04-22T04:13:39.094231image/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%
pc40대 3
 
1.9%
pc30대 3
 
1.9%
태블릿 3
 
1.9%
50대 3
 
1.9%
인터넷 2
 
1.3%
2
 
1.3%
Other values (74) 81
51.9%
2024-04-22T04:13:40.354673image/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%
게 9
 
3.1%
트 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%
게 9
 
3.1%
트 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%
게 9
 
3.1%
트 9
 
3.1%
Other values (80) 145
49.7%

시설면적
Real number (ℝ)

SKEWED 

Distinct2488
Distinct (%)81.1%
Missing4
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean222.01615
Minimum9
Maximum120236
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.1 KiB
2024-04-22T04:13:40.766916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile54.164
Q1123.68
median165.11
Q3226.73
95-th percentile355.474
Maximum120236
Range120227
Interquartile range (IQR)103.05

Descriptive statistics

Standard deviation2169.1491
Coefficient of variation (CV)9.7702315
Kurtosis3057.2953
Mean222.01615
Median Absolute Deviation (MAD)47.93
Skewness55.240208
Sum681367.55
Variance4705208
MonotonicityNot monotonic
2024-04-22T04:13:41.221953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
66.0 6
 
0.2%
130.95 6
 
0.2%
49.5 6
 
0.2%
72.55 5
 
0.2%
99.0 5
 
0.2%
114.87 5
 
0.2%
89.61 5
 
0.2%
114.0 5
 
0.2%
196.91 4
 
0.1%
128.2 4
 
0.1%
Other values (2478) 3018
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%
Missing889
Missing (%)28.9%
Infinite0
Infinite (%)0.0%
Mean3.3818681
Minimum1
Maximum34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.1 KiB
2024-04-22T04:13:41.600199image/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
2024-04-22T04:13:42.249386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
2 633
20.6%
3 530
17.2%
4 339
 
11.0%
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) 889
28.9%
ValueCountFrequency (%)
1 262
8.5%
2 633
20.6%
3 530
17.2%
4 339
11.0%
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%
Missing2201
Missing (%)71.6%
Infinite0
Infinite (%)0.0%
Mean1.1422018
Minimum0
Maximum10
Zeros34
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size27.1 KiB
2024-04-22T04:13:42.613824image/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 deviation0.71265981
Coefficient of variation (CV)0.6239351
Kurtosis46.628105
Mean1.1422018
Median Absolute Deviation (MAD)0
Skewness5.4899497
Sum996
Variance0.50788401
MonotonicityNot monotonic
2024-04-22T04:13:42.960576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 738
 
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) 2201
71.6%
ValueCountFrequency (%)
0 34
 
1.1%
1 738
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%
1 738
24.0%
0 34
 
1.1%

건물용도명
Categorical

IMBALANCE 

Distinct15
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size24.1 KiB
<NA>
1917 
근린생활시설
1051 
판매시설
 
58
기타
 
16
유통시설
 
9
Other values (10)
 
22

Length

Max length12
Median length4
Mean length4.6856492
Min length2

Unique

Unique5 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1917
62.4%
근린생활시설 1051
34.2%
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

2024-04-22T04:13:43.343276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 1917
62.4%
근린생활시설 1051
34.2%
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 

Missing3073
Missing (%)100.0%
Memory size27.1 KiB

조명시설조도
Real number (ℝ)

MISSING 

Distinct58
Distinct (%)21.0%
Missing2797
Missing (%)91.0%
Infinite0
Infinite (%)0.0%
Mean55.670652
Minimum4
Maximum388
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.1 KiB
2024-04-22T04:13:43.727201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation36.266926
Coefficient of variation (CV)0.65145503
Kurtosis35.142053
Mean55.670652
Median Absolute Deviation (MAD)8
Skewness5.2119288
Sum15365.1
Variance1315.2899
MonotonicityNot monotonic
2024-04-22T04:13:44.185663image/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%
47.0 8
 
0.3%
48.0 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 (48) 65
 
2.1%
(Missing) 2797
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 

Missing3073
Missing (%)100.0%
Memory size27.1 KiB

청소년실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3073
Missing (%)100.0%
Memory size27.1 KiB

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3073
Missing (%)100.0%
Memory size27.1 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3073
Missing (%)100.0%
Memory size27.1 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3073
Missing (%)100.0%
Memory size27.1 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3073
Missing (%)100.0%
Memory size27.1 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3073
Missing (%)100.0%
Memory size27.1 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3073
Missing (%)100.0%
Memory size27.1 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3073
Missing (%)100.0%
Memory size27.1 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3073
Missing (%)100.0%
Memory size27.1 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3073
Missing (%)100.0%
Memory size27.1 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3073
Missing (%)100.0%
Memory size27.1 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3073
Missing (%)100.0%
Memory size27.1 KiB

총게임기수
Real number (ℝ)

MISSING 

Distinct181
Distinct (%)7.9%
Missing771
Missing (%)25.1%
Infinite0
Infinite (%)0.0%
Mean59.35404
Minimum0
Maximum501
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size27.1 KiB
2024-04-22T04:13:44.615303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q140
median53
Q374
95-th percentile119.95
Maximum501
Range501
Interquartile range (IQR)34

Descriptive statistics

Standard deviation35.73185
Coefficient of variation (CV)0.60201209
Kurtosis15.656961
Mean59.35404
Median Absolute Deviation (MAD)15
Skewness2.3317597
Sum136633
Variance1276.7651
MonotonicityNot monotonic
2024-04-22T04:13:45.048732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40 195
 
6.3%
50 176
 
5.7%
60 86
 
2.8%
70 56
 
1.8%
30 53
 
1.7%
80 48
 
1.6%
45 41
 
1.3%
6 40
 
1.3%
65 37
 
1.2%
48 36
 
1.2%
Other values (171) 1534
49.9%
(Missing) 771
25.1%
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 34
1.1%
8 26
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 

Missing3073
Missing (%)100.0%
Memory size27.1 KiB

제공게임물명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size24.1 KiB
<NA>
1991 
전체이용가
1064 
청소년이용불가
 
12
전체이용가 및 청소년이용불가
 
6

Length

Max length15
Median length4
Mean length4.3794338
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> 1991
64.8%
전체이용가 1064
34.6%
청소년이용불가 12
 
0.4%
전체이용가 및 청소년이용불가 6
 
0.2%

Length

2024-04-22T04:13:45.468023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T04:13:45.796690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1991
64.5%
전체이용가 1070
34.7%
청소년이용불가 18
 
0.6%
및 6
 
0.2%

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3073
Missing (%)100.0%
Memory size27.1 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3073
Missing (%)100.0%
Memory size27.1 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3073
Missing (%)100.0%
Memory size27.1 KiB

지역구분명
Categorical

IMBALANCE 

Distinct11
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size24.1 KiB
<NA>
2213 
일반상업지역
315 
일반주거지역
302 
준주거지역
 
116
상업지역
 
60
Other values (6)
 
67

Length

Max length6
Median length4
Mean length4.4630654
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> 2213
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

2024-04-22T04:13:46.193208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 2213
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 

Missing3073
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
30633064인터넷컴퓨터게임시설제공업03_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>
30643065인터넷컴퓨터게임시설제공업03_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>
30653066인터넷컴퓨터게임시설제공업03_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>
30663067인터넷컴퓨터게임시설제공업03_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>
30673068인터넷컴퓨터게임시설제공업03_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>
30683069인터넷컴퓨터게임시설제공업03_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>
30693070인터넷컴퓨터게임시설제공업03_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>
30703071인터넷컴퓨터게임시설제공업03_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>
30713072인터넷컴퓨터게임시설제공업03_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>
30723073인터넷컴퓨터게임시설제공업03_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>