Overview

Dataset statistics

Number of variables60
Number of observations106
Missing cells3412
Missing cells (%)53.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory54.3 KiB
Average record size in memory524.2 B

Variable types

Numeric12
Categorical15
Unsupported28
Text5

Dataset

Description2021-05-01
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20230901050101123032

Alerts

개방서비스명 has constant value ""Constant
개방서비스id has constant value ""Constant
문화체육업종명 has constant value ""Constant
문화사업자구분명 has constant value ""Constant
데이터갱신구분 is highly imbalanced (54.9%)Imbalance
데이터갱신일자 is highly imbalanced (53.6%)Imbalance
주변환경명 is highly imbalanced (70.8%)Imbalance
지하층수 is highly imbalanced (76.7%)Imbalance
건물용도명 is highly imbalanced (58.6%)Imbalance
지역구분명 is highly imbalanced (69.6%)Imbalance
인허가취소일자 has 106 (100.0%) missing valuesMissing
폐업일자 has 82 (77.4%) missing valuesMissing
휴업시작일자 has 106 (100.0%) missing valuesMissing
휴업종료일자 has 106 (100.0%) missing valuesMissing
재개업일자 has 106 (100.0%) missing valuesMissing
소재지전화 has 83 (78.3%) missing valuesMissing
소재지면적 has 106 (100.0%) missing valuesMissing
소재지우편번호 has 93 (87.7%) missing valuesMissing
소재지전체주소 has 2 (1.9%) missing valuesMissing
도로명우편번호 has 26 (24.5%) missing valuesMissing
업태구분명 has 106 (100.0%) missing valuesMissing
총층수 has 79 (74.5%) missing valuesMissing
제작취급품목내용 has 3 (2.8%) missing valuesMissing
시설면적 has 9 (8.5%) missing valuesMissing
지상층수 has 66 (62.3%) missing valuesMissing
통로너비 has 106 (100.0%) missing valuesMissing
조명시설조도 has 106 (100.0%) missing valuesMissing
노래방실수 has 106 (100.0%) missing valuesMissing
청소년실수 has 106 (100.0%) missing valuesMissing
비상계단여부 has 106 (100.0%) missing valuesMissing
비상구여부 has 106 (100.0%) missing valuesMissing
자동환기여부 has 106 (100.0%) missing valuesMissing
청소년실여부 has 106 (100.0%) missing valuesMissing
특수조명여부 has 106 (100.0%) missing valuesMissing
방음시설여부 has 106 (100.0%) missing valuesMissing
비디오재생기명 has 106 (100.0%) missing valuesMissing
조명시설유무 has 106 (100.0%) missing valuesMissing
음향시설여부 has 106 (100.0%) missing valuesMissing
편의시설여부 has 106 (100.0%) missing valuesMissing
소방시설여부 has 106 (100.0%) missing valuesMissing
총게임기수 has 106 (100.0%) missing valuesMissing
기존게임업외업종명 has 106 (100.0%) missing valuesMissing
제공게임물명 has 106 (100.0%) missing valuesMissing
공연장형태구분명 has 106 (100.0%) missing valuesMissing
품목명 has 106 (100.0%) missing valuesMissing
최초등록시점 has 106 (100.0%) missing valuesMissing
Unnamed: 59 has 106 (100.0%) missing valuesMissing
번호 has unique valuesUnique
최종수정시점 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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
조명시설조도 is an unsupported type, check if it needs cleaning or further analysisUnsupported
노래방실수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상계단여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상구여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자동환기여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
특수조명여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방음시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비디오재생기명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
음향시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
편의시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소방시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총게임기수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기존게임업외업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제공게임물명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공연장형태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
품목명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
최초등록시점 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 59 is an unsupported type, check if it needs cleaning or further analysisUnsupported
시설면적 has 3 (2.8%) zerosZeros

Reproduction

Analysis started2024-04-16 22:44:17.675169
Analysis finished2024-04-16 22:44:18.196456
Duration0.52 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct106
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean53.5
Minimum1
Maximum106
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-17T07:44:18.254475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.25
Q127.25
median53.5
Q379.75
95-th percentile100.75
Maximum106
Range105
Interquartile range (IQR)52.5

Descriptive statistics

Standard deviation30.743563
Coefficient of variation (CV)0.57464604
Kurtosis-1.2
Mean53.5
Median Absolute Deviation (MAD)26.5
Skewness0
Sum5671
Variance945.16667
MonotonicityStrictly increasing
2024-04-17T07:44:18.362368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.9%
81 1
 
0.9%
79 1
 
0.9%
78 1
 
0.9%
77 1
 
0.9%
76 1
 
0.9%
75 1
 
0.9%
74 1
 
0.9%
73 1
 
0.9%
72 1
 
0.9%
Other values (96) 96
90.6%
ValueCountFrequency (%)
1 1
0.9%
2 1
0.9%
3 1
0.9%
4 1
0.9%
5 1
0.9%
6 1
0.9%
7 1
0.9%
8 1
0.9%
9 1
0.9%
10 1
0.9%
ValueCountFrequency (%)
106 1
0.9%
105 1
0.9%
104 1
0.9%
103 1
0.9%
102 1
0.9%
101 1
0.9%
100 1
0.9%
99 1
0.9%
98 1
0.9%
97 1
0.9%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size980.0 B
게임물배급업
106 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
게임물배급업 106
100.0%

Length

2024-04-17T07:44:18.460138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T07:44:18.528857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
게임물배급업 106
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size980.0 B
03_05_01_P
106 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row03_05_01_P
2nd row03_05_01_P
3rd row03_05_01_P
4th row03_05_01_P
5th row03_05_01_P

Common Values

ValueCountFrequency (%)
03_05_01_P 106
100.0%

Length

2024-04-17T07:44:18.601412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T07:44:18.676439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_05_01_p 106
100.0%

개방자치단체코드
Real number (ℝ)

Distinct15
Distinct (%)14.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3322452.8
Minimum3250000
Maximum3390000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-17T07:44:18.740287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3250000
5-th percentile3270000
Q13290000
median3325000
Q33350000
95-th percentile3387500
Maximum3390000
Range140000
Interquartile range (IQR)60000

Descriptive statistics

Standard deviation36353.066
Coefficient of variation (CV)0.010941635
Kurtosis-0.91168453
Mean3322452.8
Median Absolute Deviation (MAD)35000
Skewness0.27142565
Sum3.5218 × 108
Variance1.3215454 × 109
MonotonicityNot monotonic
2024-04-17T07:44:18.830296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
3290000 29
27.4%
3330000 21
19.8%
3310000 9
 
8.5%
3370000 8
 
7.5%
3360000 7
 
6.6%
3390000 6
 
5.7%
3380000 5
 
4.7%
3270000 4
 
3.8%
3340000 3
 
2.8%
3350000 3
 
2.8%
Other values (5) 11
 
10.4%
ValueCountFrequency (%)
3250000 2
 
1.9%
3260000 1
 
0.9%
3270000 4
 
3.8%
3280000 2
 
1.9%
3290000 29
27.4%
3300000 3
 
2.8%
3310000 9
 
8.5%
3320000 3
 
2.8%
3330000 21
19.8%
3340000 3
 
2.8%
ValueCountFrequency (%)
3390000 6
 
5.7%
3380000 5
 
4.7%
3370000 8
 
7.5%
3360000 7
 
6.6%
3350000 3
 
2.8%
3340000 3
 
2.8%
3330000 21
19.8%
3320000 3
 
2.8%
3310000 9
8.5%
3300000 3
 
2.8%

관리번호
Categorical

Distinct44
Distinct (%)41.5%
Missing0
Missing (%)0.0%
Memory size980.0 B
CDFF2241122020000001
 
7
CDFF2241122017000001
 
7
CDFF2241122018000001
 
6
CDFF2241122016000001
 
6
CDFF2241122012000001
 
5
Other values (39)
75 

Length

Max length20
Median length20
Mean length20
Min length20

Unique

Unique20 ?
Unique (%)18.9%

Sample

1st rowCDFF2241122010000003
2nd rowCDFF2241122009000001
3rd rowCDFF2241122013000001
4th rowCDFF2241122014000001
5th rowCDFF2241122018000001

Common Values

ValueCountFrequency (%)
CDFF2241122020000001 7
 
6.6%
CDFF2241122017000001 7
 
6.6%
CDFF2241122018000001 6
 
5.7%
CDFF2241122016000001 6
 
5.7%
CDFF2241122012000001 5
 
4.7%
CDFF2241122009000001 5
 
4.7%
CDFF2241122019000001 5
 
4.7%
CDFF2241122011000001 5
 
4.7%
CDFF2241122014000001 4
 
3.8%
CDFF2241122008000001 4
 
3.8%
Other values (34) 52
49.1%

Length

2024-04-17T07:44:18.929348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
cdff2241122020000001 7
 
6.6%
cdff2241122017000001 7
 
6.6%
cdff2241122018000001 6
 
5.7%
cdff2241122016000001 6
 
5.7%
cdff2241122012000001 5
 
4.7%
cdff2241122009000001 5
 
4.7%
cdff2241122019000001 5
 
4.7%
cdff2241122011000001 5
 
4.7%
cdff2241122006000001 4
 
3.8%
cdff2241122008000001 4
 
3.8%
Other values (34) 52
49.1%

인허가일자
Real number (ℝ)

Distinct101
Distinct (%)95.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20134571
Minimum20000712
Maximum20210330
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-17T07:44:19.031103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20000712
5-th percentile20060427
Q120093464
median20135618
Q320171104
95-th percentile20200611
Maximum20210330
Range209618
Interquartile range (IQR)77639.75

Descriptive statistics

Standard deviation47565.412
Coefficient of variation (CV)0.0023623753
Kurtosis-0.79002019
Mean20134571
Median Absolute Deviation (MAD)35560.5
Skewness-0.29781839
Sum2.1342645 × 109
Variance2.2624684 × 109
MonotonicityNot monotonic
2024-04-17T07:44:19.140536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20090817 3
 
2.8%
20160322 2
 
1.9%
20161024 2
 
1.9%
20131112 2
 
1.9%
20210330 1
 
0.9%
20090216 1
 
0.9%
20090824 1
 
0.9%
20071026 1
 
0.9%
20200306 1
 
0.9%
20190208 1
 
0.9%
Other values (91) 91
85.8%
ValueCountFrequency (%)
20000712 1
0.9%
20050112 1
0.9%
20050124 1
0.9%
20050325 1
0.9%
20050720 1
0.9%
20060427 1
0.9%
20060428 1
0.9%
20060627 1
0.9%
20060706 1
0.9%
20060919 1
0.9%
ValueCountFrequency (%)
20210330 1
0.9%
20210126 1
0.9%
20201021 1
0.9%
20201014 1
0.9%
20200730 1
0.9%
20200612 1
0.9%
20200609 1
0.9%
20200604 1
0.9%
20200306 1
0.9%
20200228 1
0.9%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing106
Missing (%)100.0%
Memory size1.1 KiB

영업상태구분코드
Categorical

Distinct3
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size980.0 B
1
82 
3
23 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.9%

Sample

1st row4
2nd row3
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
1 82
77.4%
3 23
 
21.7%
4 1
 
0.9%

Length

2024-04-17T07:44:19.266593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T07:44:19.354865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 82
77.4%
3 23
 
21.7%
4 1
 
0.9%

영업상태명
Categorical

Distinct3
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size980.0 B
영업/정상
82 
폐업
23 
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length5
Mean length4.4339623
Min length2

Unique

Unique1 ?
Unique (%)0.9%

Sample

1st row취소/말소/만료/정지/중지
2nd row폐업
3rd row폐업
4th row폐업
5th row폐업

Common Values

ValueCountFrequency (%)
영업/정상 82
77.4%
폐업 23
 
21.7%
취소/말소/만료/정지/중지 1
 
0.9%

Length

2024-04-17T07:44:19.446171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T07:44:19.526973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 82
77.4%
폐업 23
 
21.7%
취소/말소/만료/정지/중지 1
 
0.9%

상세영업상태코드
Categorical

Distinct3
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size980.0 B
13
82 
3
23 
35
 
1

Length

Max length2
Median length2
Mean length1.7830189
Min length1

Unique

Unique1 ?
Unique (%)0.9%

Sample

1st row35
2nd row3
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
13 82
77.4%
3 23
 
21.7%
35 1
 
0.9%

Length

2024-04-17T07:44:19.612235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T07:44:19.687542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 82
77.4%
3 23
 
21.7%
35 1
 
0.9%

상세영업상태명
Categorical

Distinct3
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size980.0 B
영업중
82 
폐업
23 
직권말소
 
1

Length

Max length4
Median length3
Mean length2.7924528
Min length2

Unique

Unique1 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 82
77.4%
폐업 23
 
21.7%
직권말소 1
 
0.9%

Length

2024-04-17T07:44:19.775514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T07:44:19.860448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 82
77.4%
폐업 23
 
21.7%
직권말소 1
 
0.9%

폐업일자
Real number (ℝ)

MISSING 

Distinct24
Distinct (%)100.0%
Missing82
Missing (%)77.4%
Infinite0
Infinite (%)0.0%
Mean20150239
Minimum20070907
Maximum20210112
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-17T07:44:19.941682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20070907
5-th percentile20093362
Q120130401
median20150930
Q320173465
95-th percentile20199494
Maximum20210112
Range139205
Interquartile range (IQR)43063.5

Descriptive statistics

Standard deviation34253.654
Coefficient of variation (CV)0.0016999131
Kurtosis0.0082528777
Mean20150239
Median Absolute Deviation (MAD)20553.5
Skewness-0.43587994
Sum4.8360573 × 108
Variance1.1733128 × 109
MonotonicityNot monotonic
2024-04-17T07:44:20.040345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
20150420 1
 
0.9%
20160427 1
 
0.9%
20110113 1
 
0.9%
20090406 1
 
0.9%
20130510 1
 
0.9%
20130327 1
 
0.9%
20160803 1
 
0.9%
20170331 1
 
0.9%
20210112 1
 
0.9%
20181212 1
 
0.9%
Other values (14) 14
 
13.2%
(Missing) 82
77.4%
ValueCountFrequency (%)
20070907 1
0.9%
20090406 1
0.9%
20110113 1
0.9%
20110602 1
0.9%
20121121 1
0.9%
20130327 1
0.9%
20130426 1
0.9%
20130510 1
0.9%
20140430 1
0.9%
20150223 1
0.9%
ValueCountFrequency (%)
20210112 1
0.9%
20201006 1
0.9%
20190923 1
0.9%
20181212 1
0.9%
20181207 1
0.9%
20180226 1
0.9%
20171211 1
0.9%
20170331 1
0.9%
20160926 1
0.9%
20160803 1
0.9%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing106
Missing (%)100.0%
Memory size1.1 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing106
Missing (%)100.0%
Memory size1.1 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing106
Missing (%)100.0%
Memory size1.1 KiB

소재지전화
Text

MISSING 

Distinct21
Distinct (%)91.3%
Missing83
Missing (%)78.3%
Memory size980.0 B
2024-04-17T07:44:20.190719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length9.9130435
Min length7

Characters and Unicode

Total characters228
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)82.6%

Sample

1st row751-2100
2nd row051-664-6968
3rd row971-5262
4th row643-3626
5th row051-866-4903
ValueCountFrequency (%)
304-1291 2
 
8.7%
271-3685 2
 
8.7%
751-2100 1
 
4.3%
851-1110 1
 
4.3%
070-7508-0844 1
 
4.3%
0516252224 1
 
4.3%
051-327-1291 1
 
4.3%
070-5118-0810 1
 
4.3%
466-2005 1
 
4.3%
051-468-6707 1
 
4.3%
Other values (11) 11
47.8%
2024-04-17T07:44:20.447559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 34
14.9%
1 30
13.2%
- 28
12.3%
5 22
9.6%
2 20
8.8%
6 19
8.3%
7 17
7.5%
8 17
7.5%
4 15
6.6%
3 13
 
5.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 200
87.7%
Dash Punctuation 28
 
12.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 34
17.0%
1 30
15.0%
5 22
11.0%
2 20
10.0%
6 19
9.5%
7 17
8.5%
8 17
8.5%
4 15
7.5%
3 13
 
6.5%
9 13
 
6.5%
Dash Punctuation
ValueCountFrequency (%)
- 28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 228
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 34
14.9%
1 30
13.2%
- 28
12.3%
5 22
9.6%
2 20
8.8%
6 19
8.3%
7 17
7.5%
8 17
7.5%
4 15
6.6%
3 13
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 228
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 34
14.9%
1 30
13.2%
- 28
12.3%
5 22
9.6%
2 20
8.8%
6 19
8.3%
7 17
7.5%
8 17
7.5%
4 15
6.6%
3 13
 
5.7%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing106
Missing (%)100.0%
Memory size1.1 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)84.6%
Missing93
Missing (%)87.7%
Infinite0
Infinite (%)0.0%
Mean613209.77
Minimum601822
Maximum618820
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-17T07:44:20.541622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum601822
5-th percentile602431
Q1611816
median614853
Q3614866
95-th percentile618218.2
Maximum618820
Range16998
Interquartile range (IQR)3050

Descriptive statistics

Standard deviation5251.4873
Coefficient of variation (CV)0.0085639328
Kurtosis1.5720987
Mean613209.77
Median Absolute Deviation (MAD)2964
Skewness-1.4963539
Sum7971727
Variance27578119
MonotonicityNot monotonic
2024-04-17T07:44:20.624185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
617817 2
 
1.9%
614853 2
 
1.9%
618820 1
 
0.9%
601822 1
 
0.9%
602837 1
 
0.9%
614866 1
 
0.9%
611803 1
 
0.9%
611816 1
 
0.9%
614856 1
 
0.9%
614836 1
 
0.9%
(Missing) 93
87.7%
ValueCountFrequency (%)
601822 1
0.9%
602837 1
0.9%
611803 1
0.9%
611816 1
0.9%
614731 1
0.9%
614836 1
0.9%
614853 2
1.9%
614856 1
0.9%
614866 1
0.9%
617817 2
1.9%
ValueCountFrequency (%)
618820 1
0.9%
617817 2
1.9%
614866 1
0.9%
614856 1
0.9%
614853 2
1.9%
614836 1
0.9%
614731 1
0.9%
611816 1
0.9%
611803 1
0.9%
602837 1
0.9%

소재지전체주소
Text

MISSING 

Distinct100
Distinct (%)96.2%
Missing2
Missing (%)1.9%
Memory size980.0 B
2024-04-17T07:44:20.877478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length38.5
Mean length26.451923
Min length13

Characters and Unicode

Total characters2751
Distinct characters175
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

Unique96 ?
Unique (%)92.3%

Sample

1st row부산광역시 부산진구 전포동 554-8번지 정우빌딩 지하1층
2nd row부산광역시 해운대구 우동 1484번지 한화꿈에그린센텀 A동 1109호
3rd row부산광역시 해운대구 우동
4th row부산광역시 수영구 남천동 556-17번지 4층
5th row부산광역시 사하구 괴정동 550-19번지
ValueCountFrequency (%)
부산광역시 104
 
20.4%
부산진구 29
 
5.7%
해운대구 21
 
4.1%
우동 18
 
3.5%
양정동 12
 
2.3%
남구 9
 
1.8%
연제구 8
 
1.6%
전포동 7
 
1.4%
강서구 7
 
1.4%
부전동 6
 
1.2%
Other values (215) 290
56.8%
2024-04-17T07:44:21.244735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
407
 
14.8%
부 150
 
5.5%
산 148
 
5.4%
1 124
 
4.5%
동 119
 
4.3%
시 110
 
4.0%
구 107
 
3.9%
광 106
 
3.9%
역 105
 
3.8%
지 102
 
3.7%
Other values (165) 1273
46.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1671
60.7%
Decimal Number 572
 
20.8%
Space Separator 407
 
14.8%
Dash Punctuation 82
 
3.0%
Uppercase Letter 14
 
0.5%
Close Punctuation 2
 
0.1%
Open Punctuation 2
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 150
 
9.0%
산 148
 
8.9%
동 119
 
7.1%
시 110
 
6.6%
구 107
 
6.4%
광 106
 
6.3%
역 105
 
6.3%
지 102
 
6.1%
번 95
 
5.7%
대 35
 
2.1%
Other values (140) 594
35.5%
Decimal Number
ValueCountFrequency (%)
1 124
21.7%
2 71
12.4%
6 65
11.4%
4 63
11.0%
3 53
9.3%
5 43
 
7.5%
0 42
 
7.3%
8 40
 
7.0%
7 36
 
6.3%
9 35
 
6.1%
Uppercase Letter
ValueCountFrequency (%)
K 3
21.4%
S 2
14.3%
C 2
14.3%
V 1
 
7.1%
I 1
 
7.1%
L 1
 
7.1%
W 1
 
7.1%
E 1
 
7.1%
T 1
 
7.1%
A 1
 
7.1%
Space Separator
ValueCountFrequency (%)
407
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 82
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1671
60.7%
Common 1066
38.7%
Latin 14
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 150
 
9.0%
산 148
 
8.9%
동 119
 
7.1%
시 110
 
6.6%
구 107
 
6.4%
광 106
 
6.3%
역 105
 
6.3%
지 102
 
6.1%
번 95
 
5.7%
대 35
 
2.1%
Other values (140) 594
35.5%
Common
ValueCountFrequency (%)
407
38.2%
1 124
 
11.6%
- 82
 
7.7%
2 71
 
6.7%
6 65
 
6.1%
4 63
 
5.9%
3 53
 
5.0%
5 43
 
4.0%
0 42
 
3.9%
8 40
 
3.8%
Other values (5) 76
 
7.1%
Latin
ValueCountFrequency (%)
K 3
21.4%
S 2
14.3%
C 2
14.3%
V 1
 
7.1%
I 1
 
7.1%
L 1
 
7.1%
W 1
 
7.1%
E 1
 
7.1%
T 1
 
7.1%
A 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1671
60.7%
ASCII 1080
39.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
407
37.7%
1 124
 
11.5%
- 82
 
7.6%
2 71
 
6.6%
6 65
 
6.0%
4 63
 
5.8%
3 53
 
4.9%
5 43
 
4.0%
0 42
 
3.9%
8 40
 
3.7%
Other values (15) 90
 
8.3%
Hangul
ValueCountFrequency (%)
부 150
 
9.0%
산 148
 
8.9%
동 119
 
7.1%
시 110
 
6.6%
구 107
 
6.4%
광 106
 
6.3%
역 105
 
6.3%
지 102
 
6.1%
번 95
 
5.7%
대 35
 
2.1%
Other values (140) 594
35.5%

도로명전체주소
Text

Distinct101
Distinct (%)96.2%
Missing1
Missing (%)0.9%
Memory size980.0 B
2024-04-17T07:44:21.480425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length40
Mean length34.628571
Min length22

Characters and Unicode

Total characters3636
Distinct characters208
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique97 ?
Unique (%)92.4%

Sample

1st row부산광역시 부산진구 전포대로306번길 6 (전포동,정우빌딩 지하1층)
2nd row부산광역시 해운대구 센텀동로 26, A동 1109호 (우동,한화꿈에그린센텀)
3rd row부산광역시 해운대구 센텀서로 30, 17층 (우동)
4th row부산광역시 수영구 황령대로489번길 14, 4층 403-1호 (남천동, 대성상가)
5th row부산광역시 사하구 장평로 453, 616호 (괴정동)
ValueCountFrequency (%)
부산광역시 105
 
15.8%
부산진구 28
 
4.2%
해운대구 21
 
3.2%
우동 17
 
2.6%
양정동 9
 
1.4%
남구 9
 
1.4%
연제구 8
 
1.2%
1층 8
 
1.2%
140 7
 
1.1%
강서구 7
 
1.1%
Other values (314) 445
67.0%
2024-04-17T07:44:21.813534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
584
 
16.1%
산 153
 
4.2%
부 151
 
4.2%
1 141
 
3.9%
동 135
 
3.7%
시 114
 
3.1%
광 111
 
3.1%
구 109
 
3.0%
( 106
 
2.9%
) 106
 
2.9%
Other values (198) 1926
53.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2092
57.5%
Decimal Number 612
 
16.8%
Space Separator 584
 
16.1%
Open Punctuation 106
 
2.9%
Close Punctuation 106
 
2.9%
Other Punctuation 104
 
2.9%
Uppercase Letter 20
 
0.6%
Dash Punctuation 11
 
0.3%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 153
 
7.3%
부 151
 
7.2%
동 135
 
6.5%
시 114
 
5.4%
광 111
 
5.3%
구 109
 
5.2%
역 106
 
5.1%
로 101
 
4.8%
대 73
 
3.5%
호 52
 
2.5%
Other values (171) 987
47.2%
Uppercase Letter
ValueCountFrequency (%)
K 4
20.0%
C 3
15.0%
A 2
10.0%
E 2
10.0%
L 2
10.0%
S 2
10.0%
W 1
 
5.0%
V 1
 
5.0%
I 1
 
5.0%
T 1
 
5.0%
Decimal Number
ValueCountFrequency (%)
1 141
23.0%
2 98
16.0%
0 75
12.3%
3 67
10.9%
4 59
9.6%
6 47
 
7.7%
9 39
 
6.4%
5 34
 
5.6%
8 27
 
4.4%
7 25
 
4.1%
Space Separator
ValueCountFrequency (%)
584
100.0%
Open Punctuation
ValueCountFrequency (%)
( 106
100.0%
Close Punctuation
ValueCountFrequency (%)
) 106
100.0%
Other Punctuation
ValueCountFrequency (%)
, 104
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2092
57.5%
Common 1524
41.9%
Latin 20
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 153
 
7.3%
부 151
 
7.2%
동 135
 
6.5%
시 114
 
5.4%
광 111
 
5.3%
구 109
 
5.2%
역 106
 
5.1%
로 101
 
4.8%
대 73
 
3.5%
호 52
 
2.5%
Other values (171) 987
47.2%
Common
ValueCountFrequency (%)
584
38.3%
1 141
 
9.3%
( 106
 
7.0%
) 106
 
7.0%
, 104
 
6.8%
2 98
 
6.4%
0 75
 
4.9%
3 67
 
4.4%
4 59
 
3.9%
6 47
 
3.1%
Other values (6) 137
 
9.0%
Latin
ValueCountFrequency (%)
K 4
20.0%
C 3
15.0%
A 2
10.0%
E 2
10.0%
L 2
10.0%
S 2
10.0%
W 1
 
5.0%
V 1
 
5.0%
I 1
 
5.0%
T 1
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2092
57.5%
ASCII 1544
42.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
584
37.8%
1 141
 
9.1%
( 106
 
6.9%
) 106
 
6.9%
, 104
 
6.7%
2 98
 
6.3%
0 75
 
4.9%
3 67
 
4.3%
4 59
 
3.8%
6 47
 
3.0%
Other values (17) 157
 
10.2%
Hangul
ValueCountFrequency (%)
산 153
 
7.3%
부 151
 
7.2%
동 135
 
6.5%
시 114
 
5.4%
광 111
 
5.3%
구 109
 
5.2%
역 106
 
5.1%
로 101
 
4.8%
대 73
 
3.5%
호 52
 
2.5%
Other values (171) 987
47.2%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct59
Distinct (%)73.8%
Missing26
Missing (%)24.5%
Infinite0
Infinite (%)0.0%
Mean83123.125
Minimum46213
Maximum617800
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-17T07:44:21.925733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46213
5-th percentile46636
Q147246.75
median48058
Q348410.75
95-th percentile608975.75
Maximum617800
Range571587
Interquartile range (IQR)1164

Descriptive statistics

Standard deviation137589.96
Coefficient of variation (CV)1.6552549
Kurtosis11.870792
Mean83123.125
Median Absolute Deviation (MAD)690.5
Skewness3.6842308
Sum6649850
Variance1.8930998 × 1010
MonotonicityNot monotonic
2024-04-17T07:44:22.031868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48058 11
 
10.4%
47296 3
 
2.8%
48059 3
 
2.8%
47237 2
 
1.9%
48973 2
 
1.9%
46636 2
 
1.9%
47212 2
 
1.9%
47229 2
 
1.9%
48060 2
 
1.9%
48480 2
 
1.9%
Other values (49) 49
46.2%
(Missing) 26
24.5%
ValueCountFrequency (%)
46213 1
0.9%
46223 1
0.9%
46284 1
0.9%
46636 2
1.9%
46652 1
0.9%
46723 1
0.9%
46726 1
0.9%
46974 1
0.9%
46994 1
0.9%
47007 1
0.9%
ValueCountFrequency (%)
617800 1
0.9%
613011 1
0.9%
611814 1
0.9%
611802 1
0.9%
608827 1
0.9%
49521 1
0.9%
49402 1
0.9%
49394 1
0.9%
49055 1
0.9%
48973 2
1.9%

사업장명
Text

Distinct104
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size980.0 B
2024-04-17T07:44:22.238371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length13
Mean length6.8018868
Min length2

Characters and Unicode

Total characters721
Distinct characters177
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

Unique102 ?
Unique (%)96.2%

Sample

1st row(주)링크바이
2nd row한빛소프트
3rd row(주)로지웨어
4th row제이에스테크
5th row주원소프트
ValueCountFrequency (%)
주식회사 17
 
12.4%
소프트 3
 
2.2%
게임즈 2
 
1.5%
아트전자타운 2
 
1.5%
성공드림 2
 
1.5%
익성전자 1
 
0.7%
아진테크 1
 
0.7%
게임코리아 1
 
0.7%
성진 1
 
0.7%
비욘드윌 1
 
0.7%
Other values (106) 106
77.4%
2024-04-17T07:44:22.553914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 39
 
5.4%
31
 
4.3%
이 29
 
4.0%
트 28
 
3.9%
) 26
 
3.6%
( 26
 
3.6%
사 21
 
2.9%
소 20
 
2.8%
회 19
 
2.6%
프 19
 
2.6%
Other values (167) 463
64.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 582
80.7%
Uppercase Letter 33
 
4.6%
Space Separator 31
 
4.3%
Close Punctuation 26
 
3.6%
Open Punctuation 26
 
3.6%
Lowercase Letter 14
 
1.9%
Other Punctuation 5
 
0.7%
Decimal Number 4
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 39
 
6.7%
이 29
 
5.0%
트 28
 
4.8%
사 21
 
3.6%
소 20
 
3.4%
회 19
 
3.3%
프 19
 
3.3%
식 18
 
3.1%
자 16
 
2.7%
전 16
 
2.7%
Other values (135) 357
61.3%
Uppercase Letter
ValueCountFrequency (%)
C 5
15.2%
N 4
12.1%
G 3
 
9.1%
Y 3
 
9.1%
A 2
 
6.1%
L 2
 
6.1%
K 2
 
6.1%
E 2
 
6.1%
I 1
 
3.0%
R 1
 
3.0%
Other values (8) 8
24.2%
Lowercase Letter
ValueCountFrequency (%)
o 5
35.7%
n 2
 
14.3%
g 2
 
14.3%
u 1
 
7.1%
w 1
 
7.1%
j 1
 
7.1%
s 1
 
7.1%
a 1
 
7.1%
Decimal Number
ValueCountFrequency (%)
7 3
75.0%
2 1
 
25.0%
Space Separator
ValueCountFrequency (%)
31
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%
Other Punctuation
ValueCountFrequency (%)
. 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 582
80.7%
Common 92
 
12.8%
Latin 47
 
6.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 39
 
6.7%
이 29
 
5.0%
트 28
 
4.8%
사 21
 
3.6%
소 20
 
3.4%
회 19
 
3.3%
프 19
 
3.3%
식 18
 
3.1%
자 16
 
2.7%
전 16
 
2.7%
Other values (135) 357
61.3%
Latin
ValueCountFrequency (%)
o 5
 
10.6%
C 5
 
10.6%
N 4
 
8.5%
G 3
 
6.4%
Y 3
 
6.4%
n 2
 
4.3%
g 2
 
4.3%
A 2
 
4.3%
L 2
 
4.3%
K 2
 
4.3%
Other values (16) 17
36.2%
Common
ValueCountFrequency (%)
31
33.7%
) 26
28.3%
( 26
28.3%
. 5
 
5.4%
7 3
 
3.3%
2 1
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 582
80.7%
ASCII 139
 
19.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 39
 
6.7%
이 29
 
5.0%
트 28
 
4.8%
사 21
 
3.6%
소 20
 
3.4%
회 19
 
3.3%
프 19
 
3.3%
식 18
 
3.1%
자 16
 
2.7%
전 16
 
2.7%
Other values (135) 357
61.3%
ASCII
ValueCountFrequency (%)
31
22.3%
) 26
18.7%
( 26
18.7%
. 5
 
3.6%
o 5
 
3.6%
C 5
 
3.6%
N 4
 
2.9%
G 3
 
2.2%
Y 3
 
2.2%
7 3
 
2.2%
Other values (22) 28
20.1%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct106
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0152006 × 1013
Minimum2.0070907 × 1013
Maximum2.021033 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-17T07:44:22.668132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0070907 × 1013
5-th percentile2.0081212 × 1013
Q12.0120905 × 1013
median2.0160712 × 1013
Q32.0187885 × 1013
95-th percentile2.0200956 × 1013
Maximum2.021033 × 1013
Range1.3942303 × 1011
Interquartile range (IQR)6.6980058 × 1010

Descriptive statistics

Standard deviation3.8862056 × 1010
Coefficient of variation (CV)0.001928446
Kurtosis-0.98441289
Mean2.0152006 × 1013
Median Absolute Deviation (MAD)2.9905476 × 1010
Skewness-0.40743893
Sum2.1361126 × 1015
Variance1.5102594 × 1021
MonotonicityNot monotonic
2024-04-17T07:44:22.779750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20180423171018 1
 
0.9%
20080128111134 1
 
0.9%
20090824115704 1
 
0.9%
20100224104707 1
 
0.9%
20200306104601 1
 
0.9%
20190208173545 1
 
0.9%
20111227092705 1
 
0.9%
20161024092520 1
 
0.9%
20190207155031 1
 
0.9%
20111227092451 1
 
0.9%
Other values (96) 96
90.6%
ValueCountFrequency (%)
20070907142304 1
0.9%
20080128110059 1
0.9%
20080128110415 1
0.9%
20080128110842 1
0.9%
20080128111134 1
0.9%
20081212110417 1
0.9%
20081212111901 1
0.9%
20090216111046 1
0.9%
20090406171437 1
0.9%
20090817105300 1
0.9%
ValueCountFrequency (%)
20210330170222 1
0.9%
20210126151354 1
0.9%
20210112180936 1
0.9%
20201021104021 1
0.9%
20201014174051 1
0.9%
20201006165006 1
0.9%
20200806195951 1
0.9%
20200730112301 1
0.9%
20200612175818 1
0.9%
20200609135642 1
0.9%

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size980.0 B
I
96 
U
10 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 96
90.6%
U 10
 
9.4%

Length

2024-04-17T07:44:22.888922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T07:44:22.960549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 96
90.6%
u 10
 
9.4%

데이터갱신일자
Categorical

IMBALANCE 

Distinct32
Distinct (%)30.2%
Missing0
Missing (%)0.0%
Memory size980.0 B
2018-08-31 23:59:59.0
75 
2019-09-27 02:40:00.0
 
1
2020-10-08 02:40:00.0
 
1
2018-12-09 02:40:00.0
 
1
2018-12-16 02:40:00.0
 
1
Other values (27)
27 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique31 ?
Unique (%)29.2%

Sample

1st row2018-08-31 23:59:59.0
2nd row2018-08-31 23:59:59.0
3rd row2018-08-31 23:59:59.0
4th row2018-08-31 23:59:59.0
5th row2019-09-27 02:40:00.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 75
70.8%
2019-09-27 02:40:00.0 1
 
0.9%
2020-10-08 02:40:00.0 1
 
0.9%
2018-12-09 02:40:00.0 1
 
0.9%
2018-12-16 02:40:00.0 1
 
0.9%
2021-01-14 02:40:00.0 1
 
0.9%
2020-10-16 00:23:10.0 1
 
0.9%
2020-08-08 00:23:14.0 1
 
0.9%
2020-06-06 00:23:18.0 1
 
0.9%
2019-01-11 02:40:00.0 1
 
0.9%
Other values (22) 22
 
20.8%

Length

2024-04-17T07:44:23.039332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
23:59:59.0 76
35.8%
2018-08-31 75
35.4%
02:40:00.0 9
 
4.2%
00:23:22.0 2
 
0.9%
00:23:10.0 2
 
0.9%
2019-06-19 2
 
0.9%
00:22:58.0 1
 
0.5%
2020-06-11 1
 
0.5%
00:23:29.0 1
 
0.5%
2018-10-10 1
 
0.5%
Other values (42) 42
19.8%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing106
Missing (%)100.0%
Memory size1.1 KiB

좌표정보(x)
Real number (ℝ)

Distinct87
Distinct (%)82.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean388031.47
Minimum367948.47
Maximum398628.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-17T07:44:23.134443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum367948.47
5-th percentile376805.19
Q1385935.56
median388355.97
Q3392048.02
95-th percentile394208.36
Maximum398628.5
Range30680.035
Interquartile range (IQR)6112.4526

Descriptive statistics

Standard deviation5374.527
Coefficient of variation (CV)0.01385075
Kurtosis1.4198938
Mean388031.47
Median Absolute Deviation (MAD)3385.1539
Skewness-0.91270806
Sum41131336
Variance28885541
MonotonicityNot monotonic
2024-04-17T07:44:23.244973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
393573.517296519 7
 
6.6%
388153.839025721 2
 
1.9%
375557.335938 2
 
1.9%
382193.744363572 2
 
1.9%
389012.752651564 2
 
1.9%
381768.926729502 2
 
1.9%
388343.915181156 2
 
1.9%
388364.52150663 2
 
1.9%
393851.969576247 2
 
1.9%
393963.840834294 2
 
1.9%
Other values (77) 81
76.4%
ValueCountFrequency (%)
367948.46831947 1
0.9%
374487.930784478 1
0.9%
375557.335938 2
1.9%
376775.500473305 2
1.9%
376894.273461237 1
0.9%
380584.827692524 1
0.9%
380846.109930312 1
0.9%
380857.84856448 1
0.9%
381060.932562209 1
0.9%
381172.422719493 1
0.9%
ValueCountFrequency (%)
398628.503470003 1
0.9%
398304.016430747 1
0.9%
397483.944608153 1
0.9%
395553.873163203 1
0.9%
394259.857138235 1
0.9%
394209.294344881 1
0.9%
394205.564135188 1
0.9%
393963.840834294 2
1.9%
393901.99210345 1
0.9%
393851.969576247 2
1.9%

좌표정보(y)
Real number (ℝ)

Distinct87
Distinct (%)82.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean186367.31
Minimum175201.03
Maximum199051.51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-17T07:44:23.365972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum175201.03
5-th percentile179139.5
Q1184807.94
median187249.55
Q3188018.69
95-th percentile190837.01
Maximum199051.51
Range23850.484
Interquartile range (IQR)3210.746

Descriptive statistics

Standard deviation3792.624
Coefficient of variation (CV)0.020350264
Kurtosis1.9048075
Mean186367.31
Median Absolute Deviation (MAD)1549.7479
Skewness-0.10784893
Sum19754935
Variance14383997
MonotonicityNot monotonic
2024-04-17T07:44:23.719925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
188018.687138009 7
 
6.6%
186593.504685927 2
 
1.9%
180109.21418 2
 
1.9%
189180.099262507 2
 
1.9%
182441.948899344 2
 
1.9%
190377.887210834 2
 
1.9%
188007.509923531 2
 
1.9%
187980.59766413 2
 
1.9%
187910.040763301 2
 
1.9%
188061.35516256 2
 
1.9%
Other values (77) 81
76.4%
ValueCountFrequency (%)
175201.028956516 1
0.9%
177748.085730126 1
0.9%
178508.293113873 2
1.9%
178988.233459295 1
0.9%
179008.856820686 1
0.9%
179531.431604856 1
0.9%
179717.44326365 1
0.9%
180080.172971726 1
0.9%
180094.434135283 1
0.9%
180109.21418 2
1.9%
ValueCountFrequency (%)
199051.512822937 1
0.9%
198389.90766378 1
0.9%
194838.893513386 1
0.9%
191407.941480296 1
0.9%
191103.855668201 1
0.9%
190898.969281116 1
0.9%
190651.151022739 1
0.9%
190377.887210834 2
1.9%
190238.747318967 1
0.9%
189883.55660639 1
0.9%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size980.0 B
게임물배급업
106 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
게임물배급업 106
100.0%

Length

2024-04-17T07:44:23.819158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T07:44:23.888638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
게임물배급업 106
100.0%

문화사업자구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size980.0 B
유통관련업
106 

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 106
100.0%

Length

2024-04-17T07:44:23.963446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T07:44:24.034480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 106
100.0%

총층수
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)51.9%
Missing79
Missing (%)74.5%
Infinite0
Infinite (%)0.0%
Mean6.4074074
Minimum1
Maximum22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-17T07:44:24.102369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median5
Q37.5
95-th percentile19.1
Maximum22
Range21
Interquartile range (IQR)5.5

Descriptive statistics

Standard deviation5.9566334
Coefficient of variation (CV)0.92964799
Kurtosis1.2600664
Mean6.4074074
Median Absolute Deviation (MAD)3
Skewness1.4771154
Sum173
Variance35.481481
MonotonicityNot monotonic
2024-04-17T07:44:24.191541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
2 6
 
5.7%
5 5
 
4.7%
4 3
 
2.8%
1 3
 
2.8%
8 1
 
0.9%
6 1
 
0.9%
20 1
 
0.9%
7 1
 
0.9%
12 1
 
0.9%
16 1
 
0.9%
Other values (4) 4
 
3.8%
(Missing) 79
74.5%
ValueCountFrequency (%)
1 3
2.8%
2 6
5.7%
3 1
 
0.9%
4 3
2.8%
5 5
4.7%
6 1
 
0.9%
7 1
 
0.9%
8 1
 
0.9%
10 1
 
0.9%
12 1
 
0.9%
ValueCountFrequency (%)
22 1
 
0.9%
20 1
 
0.9%
17 1
 
0.9%
16 1
 
0.9%
12 1
 
0.9%
10 1
 
0.9%
8 1
 
0.9%
7 1
 
0.9%
6 1
 
0.9%
5 5
4.7%

주변환경명
Categorical

IMBALANCE 

Distinct5
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size980.0 B
<NA>
93 
기타
10 
아파트지역
 
1
학교정화(절대)
 
1
학교정화(상대)
 
1

Length

Max length8
Median length4
Mean length3.8962264
Min length2

Unique

Unique3 ?
Unique (%)2.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 93
87.7%
기타 10
 
9.4%
아파트지역 1
 
0.9%
학교정화(절대) 1
 
0.9%
학교정화(상대) 1
 
0.9%

Length

2024-04-17T07:44:24.294986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T07:44:24.378769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 93
87.7%
기타 10
 
9.4%
아파트지역 1
 
0.9%
학교정화(절대 1
 
0.9%
학교정화(상대 1
 
0.9%

제작취급품목내용
Text

MISSING 

Distinct64
Distinct (%)62.1%
Missing3
Missing (%)2.8%
Memory size980.0 B
2024-04-17T07:44:24.577430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length19
Mean length8.0679612
Min length3

Characters and Unicode

Total characters831
Distinct characters97
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique48 ?
Unique (%)46.6%

Sample

1st row아케이드 게임기
2nd row온라인저보게임배급
3rd row게임배급업
4th row게임배급업
5th row아케이드게임물
ValueCountFrequency (%)
게임물 19
 
11.5%
아케이드 15
 
9.1%
게임 10
 
6.1%
모바일게임 8
 
4.8%
모바일 8
 
4.8%
게임기 7
 
4.2%
배급 5
 
3.0%
아케이드게임 5
 
3.0%
아케이드게임기 5
 
3.0%
및 5
 
3.0%
Other values (61) 78
47.3%
2024-04-17T07:44:24.889221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
게 90
 
10.8%
임 90
 
10.8%
62
 
7.5%
이 44
 
5.3%
케 35
 
4.2%
기 34
 
4.1%
아 33
 
4.0%
드 33
 
4.0%
물 28
 
3.4%
일 21
 
2.5%
Other values (87) 361
43.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 706
85.0%
Space Separator 62
 
7.5%
Other Punctuation 25
 
3.0%
Uppercase Letter 19
 
2.3%
Open Punctuation 7
 
0.8%
Close Punctuation 7
 
0.8%
Decimal Number 2
 
0.2%
Lowercase Letter 2
 
0.2%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
게 90
 
12.7%
임 90
 
12.7%
이 44
 
6.2%
케 35
 
5.0%
기 34
 
4.8%
아 33
 
4.7%
드 33
 
4.7%
물 28
 
4.0%
일 21
 
3.0%
바 20
 
2.8%
Other values (69) 278
39.4%
Uppercase Letter
ValueCountFrequency (%)
C 6
31.6%
P 6
31.6%
V 2
 
10.5%
R 2
 
10.5%
B 1
 
5.3%
E 1
 
5.3%
W 1
 
5.3%
Other Punctuation
ValueCountFrequency (%)
, 20
80.0%
/ 3
 
12.0%
· 2
 
8.0%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
8 1
50.0%
Lowercase Letter
ValueCountFrequency (%)
r 1
50.0%
v 1
50.0%
Space Separator
ValueCountFrequency (%)
62
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 706
85.0%
Common 104
 
12.5%
Latin 21
 
2.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
게 90
 
12.7%
임 90
 
12.7%
이 44
 
6.2%
케 35
 
5.0%
기 34
 
4.8%
아 33
 
4.7%
드 33
 
4.7%
물 28
 
4.0%
일 21
 
3.0%
바 20
 
2.8%
Other values (69) 278
39.4%
Common
ValueCountFrequency (%)
62
59.6%
, 20
 
19.2%
( 7
 
6.7%
) 7
 
6.7%
/ 3
 
2.9%
· 2
 
1.9%
1 1
 
1.0%
8 1
 
1.0%
+ 1
 
1.0%
Latin
ValueCountFrequency (%)
C 6
28.6%
P 6
28.6%
V 2
 
9.5%
R 2
 
9.5%
B 1
 
4.8%
E 1
 
4.8%
W 1
 
4.8%
r 1
 
4.8%
v 1
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 706
85.0%
ASCII 123
 
14.8%
None 2
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
게 90
 
12.7%
임 90
 
12.7%
이 44
 
6.2%
케 35
 
5.0%
기 34
 
4.8%
아 33
 
4.7%
드 33
 
4.7%
물 28
 
4.0%
일 21
 
3.0%
바 20
 
2.8%
Other values (69) 278
39.4%
ASCII
ValueCountFrequency (%)
62
50.4%
, 20
 
16.3%
( 7
 
5.7%
) 7
 
5.7%
C 6
 
4.9%
P 6
 
4.9%
/ 3
 
2.4%
V 2
 
1.6%
R 2
 
1.6%
1 1
 
0.8%
Other values (7) 7
 
5.7%
None
ValueCountFrequency (%)
· 2
100.0%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct89
Distinct (%)91.8%
Missing9
Missing (%)8.5%
Infinite0
Infinite (%)0.0%
Mean115.66969
Minimum0
Maximum1650
Zeros3
Zeros (%)2.8%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-17T07:44:25.002898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q133
median59.4
Q3101.35
95-th percentile305.712
Maximum1650
Range1650
Interquartile range (IQR)68.35

Descriptive statistics

Standard deviation227.69787
Coefficient of variation (CV)1.968518
Kurtosis28.813169
Mean115.66969
Median Absolute Deviation (MAD)30.6
Skewness5.1387576
Sum11219.96
Variance51846.319
MonotonicityNot monotonic
2024-04-17T07:44:25.110348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 3
 
2.8%
36.0 3
 
2.8%
33.0 2
 
1.9%
66.0 2
 
1.9%
199.69 2
 
1.9%
198.0 2
 
1.9%
9.81 1
 
0.9%
62.52 1
 
0.9%
90.0 1
 
0.9%
45.53 1
 
0.9%
Other values (79) 79
74.5%
(Missing) 9
 
8.5%
ValueCountFrequency (%)
0.0 3
2.8%
3.5 1
 
0.9%
4.0 1
 
0.9%
6.5 1
 
0.9%
6.82 1
 
0.9%
9.81 1
 
0.9%
10.0 1
 
0.9%
10.8 1
 
0.9%
15.0 1
 
0.9%
15.25 1
 
0.9%
ValueCountFrequency (%)
1650.0 1
0.9%
1239.15 1
0.9%
991.85 1
0.9%
365.76 1
0.9%
330.0 1
0.9%
299.64 1
0.9%
199.69 2
1.9%
198.0 2
1.9%
195.81 1
0.9%
195.51 1
0.9%

지상층수
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)27.5%
Missing66
Missing (%)62.3%
Infinite0
Infinite (%)0.0%
Mean4.625
Minimum1
Maximum32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-17T07:44:25.204825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q35
95-th percentile14.2
Maximum32
Range31
Interquartile range (IQR)4

Descriptive statistics

Standard deviation5.7676707
Coefficient of variation (CV)1.2470639
Kurtosis13.10054
Mean4.625
Median Absolute Deviation (MAD)2
Skewness3.2741132
Sum185
Variance33.266026
MonotonicityNot monotonic
2024-04-17T07:44:25.284367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1 13
 
12.3%
4 6
 
5.7%
3 5
 
4.7%
2 4
 
3.8%
5 4
 
3.8%
8 2
 
1.9%
9 2
 
1.9%
32 1
 
0.9%
7 1
 
0.9%
18 1
 
0.9%
(Missing) 66
62.3%
ValueCountFrequency (%)
1 13
12.3%
2 4
 
3.8%
3 5
 
4.7%
4 6
5.7%
5 4
 
3.8%
7 1
 
0.9%
8 2
 
1.9%
9 2
 
1.9%
14 1
 
0.9%
18 1
 
0.9%
ValueCountFrequency (%)
32 1
 
0.9%
18 1
 
0.9%
14 1
 
0.9%
9 2
 
1.9%
8 2
 
1.9%
7 1
 
0.9%
5 4
3.8%
4 6
5.7%
3 5
4.7%
2 4
3.8%

지하층수
Categorical

IMBALANCE 

Distinct5
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size980.0 B
<NA>
97 
1
 
6
5
 
1
2
 
1
3
 
1

Length

Max length4
Median length4
Mean length3.745283
Min length1

Unique

Unique3 ?
Unique (%)2.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 97
91.5%
1 6
 
5.7%
5 1
 
0.9%
2 1
 
0.9%
3 1
 
0.9%

Length

2024-04-17T07:44:25.381885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T07:44:25.473937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 97
91.5%
1 6
 
5.7%
5 1
 
0.9%
2 1
 
0.9%
3 1
 
0.9%

건물용도명
Categorical

IMBALANCE 

Distinct6
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size980.0 B
<NA>
85 
근린생활시설
12 
사무실
 
4
단독주택
 
2
기타
 
2

Length

Max length6
Median length4
Mean length4.1415094
Min length2

Unique

Unique1 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 85
80.2%
근린생활시설 12
 
11.3%
사무실 4
 
3.8%
단독주택 2
 
1.9%
기타 2
 
1.9%
아파트 1
 
0.9%

Length

2024-04-17T07:44:25.571075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T07:44:25.662311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 85
80.2%
근린생활시설 12
 
11.3%
사무실 4
 
3.8%
단독주택 2
 
1.9%
기타 2
 
1.9%
아파트 1
 
0.9%

통로너비
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing106
Missing (%)100.0%
Memory size1.1 KiB

조명시설조도
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing106
Missing (%)100.0%
Memory size1.1 KiB

노래방실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing106
Missing (%)100.0%
Memory size1.1 KiB

청소년실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing106
Missing (%)100.0%
Memory size1.1 KiB

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing106
Missing (%)100.0%
Memory size1.1 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing106
Missing (%)100.0%
Memory size1.1 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing106
Missing (%)100.0%
Memory size1.1 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing106
Missing (%)100.0%
Memory size1.1 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing106
Missing (%)100.0%
Memory size1.1 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing106
Missing (%)100.0%
Memory size1.1 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing106
Missing (%)100.0%
Memory size1.1 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing106
Missing (%)100.0%
Memory size1.1 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing106
Missing (%)100.0%
Memory size1.1 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing106
Missing (%)100.0%
Memory size1.1 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing106
Missing (%)100.0%
Memory size1.1 KiB

총게임기수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing106
Missing (%)100.0%
Memory size1.1 KiB

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing106
Missing (%)100.0%
Memory size1.1 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing106
Missing (%)100.0%
Memory size1.1 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing106
Missing (%)100.0%
Memory size1.1 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing106
Missing (%)100.0%
Memory size1.1 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing106
Missing (%)100.0%
Memory size1.1 KiB

지역구분명
Categorical

IMBALANCE 

Distinct6
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size980.0 B
<NA>
93 
일반주거지역
 
5
일반상업지역
 
4
자연녹지지역
 
2
준주거지역
 
1

Length

Max length6
Median length4
Mean length4.2264151
Min length4

Unique

Unique2 ?
Unique (%)1.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 93
87.7%
일반주거지역 5
 
4.7%
일반상업지역 4
 
3.8%
자연녹지지역 2
 
1.9%
준주거지역 1
 
0.9%
준공업지역 1
 
0.9%

Length

2024-04-17T07:44:25.762008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T07:44:25.851619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 93
87.7%
일반주거지역 5
 
4.7%
일반상업지역 4
 
3.8%
자연녹지지역 2
 
1.9%
준주거지역 1
 
0.9%
준공업지역 1
 
0.9%

Unnamed: 59
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing106
Missing (%)100.0%
Memory size1.1 KiB

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명Unnamed: 59
01게임물배급업03_05_01_P3290000CDFF224112201000000320100202<NA>4취소/말소/만료/정지/중지35직권말소20180226<NA><NA><NA>751-2100<NA><NA>부산광역시 부산진구 전포동 554-8번지 정우빌딩 지하1층부산광역시 부산진구 전포대로306번길 6 (전포동,정우빌딩 지하1층)<NA>(주)링크바이20180423171018I2018-08-31 23:59:59.0<NA>388144.664698187031.757545게임물배급업유통관련업<NA><NA>아케이드 게임기118.92<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
12게임물배급업03_05_01_P3330000CDFF224112200900000120091218<NA>3폐업3폐업20121121<NA><NA><NA><NA><NA><NA>부산광역시 해운대구 우동 1484번지 한화꿈에그린센텀 A동 1109호부산광역시 해운대구 센텀동로 26, A동 1109호 (우동,한화꿈에그린센텀)<NA>한빛소프트20121121175604I2018-08-31 23:59:59.0<NA>394205.564135187948.534671게임물배급업유통관련업<NA><NA>온라인저보게임배급52.49<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23게임물배급업03_05_01_P3330000CDFF224112201300000120120927<NA>3폐업3폐업20150223<NA><NA><NA>051-664-6968<NA><NA>부산광역시 해운대구 우동부산광역시 해운대구 센텀서로 30, 17층 (우동)48058(주)로지웨어20170125161456I2018-08-31 23:59:59.0<NA>393810.868918187968.239406게임물배급업유통관련업<NA><NA>게임배급업0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
34게임물배급업03_05_01_P3380000CDFF224112201400000120140918<NA>3폐업3폐업20150630<NA><NA><NA><NA><NA><NA>부산광역시 수영구 남천동 556-17번지 4층부산광역시 수영구 황령대로489번길 14, 4층 403-1호 (남천동, 대성상가)613011제이에스테크20150630105305I2018-08-31 23:59:59.0<NA>392071.315841184207.75936게임물배급업유통관련업4기타게임배급업60.424<NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>준주거지역<NA>
45게임물배급업03_05_01_P3340000CDFF224112201800000120180928<NA>3폐업3폐업20190923<NA><NA><NA><NA><NA><NA>부산광역시 사하구 괴정동 550-19번지부산광역시 사하구 장평로 453, 616호 (괴정동)49402주원소프트20190925101231U2019-09-27 02:40:00.0<NA>381060.932562179531.431605게임물배급업유통관련업<NA><NA>아케이드게임물15.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
56게임물배급업03_05_01_P3360000CDFF224112200700000120070727<NA>3폐업3폐업20201006<NA><NA><NA>971-5262<NA>618820부산광역시 강서구 송정동 1715-6부산광역시 강서구 녹산산단262로50번길 36 (송정동)<NA>동성엔터테이먼트20201006165006U2020-10-08 02:40:00.0<NA>367948.468319177748.08573게임물배급업유통관련업<NA>기타게임물(아케이드)44.52<NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반상업지역<NA>
67게임물배급업03_05_01_P3350000CDFF224112201700000120170404<NA>3폐업3폐업20171211<NA><NA><NA><NA><NA><NA>부산광역시 금정구 남산동 987-3번지부산광역시 금정구 남산로 39, 3층 (남산동, 정목빌딩)46223씨엔케이 주식회사20171211180413I2018-08-31 23:59:59.0<NA>389920.667351198389.907664게임물배급업유통관련업<NA><NA>아케이드 게임180.03<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
78게임물배급업03_05_01_P3350000CDFF224112201600000120160322<NA>3폐업3폐업20181207<NA><NA><NA><NA><NA><NA>부산광역시 금정구 청룡동 17-30번지부산광역시 금정구 중앙대로 2110, 502호 (청룡동, 민준빌딩)46213주식회사 성공드림20181207161755U2018-12-09 02:40:00.0<NA>390367.609491199051.512823게임물배급업유통관련업<NA><NA>전자다트57.525<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
89게임물배급업03_05_01_P3270000CDFF224112200900000120090415<NA>3폐업3폐업20110602<NA><NA><NA>643-3626<NA>601822부산광역시 동구 좌천동 630번지 그린아일 302호부산광역시 동구 고관로 172-1, 302호 (좌천동,그린아일)<NA>(주)뉴하나로게임20110602160624I2018-08-31 23:59:59.0<NA>386921.980276183378.728179게임물배급업유통관련업<NA><NA>온라인 서비스33.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
910게임물배급업03_05_01_P3280000CDFF224112200800000120080428<NA>3폐업3폐업20160926<NA><NA><NA><NA><NA><NA>부산광역시 영도구 남항동2가 236-4번지 부산멀티미디어지원센터 406호부산광역시 영도구 절영로 71, 406호 (남항동2가,부산멀티미디어지원센터)<NA>어필20160927104610I2018-08-31 23:59:59.0<NA>385886.002384178508.293114게임물배급업유통관련업<NA><NA>모바일게임56.85<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명Unnamed: 59
9697게임물배급업03_05_01_P3290000CDFF224112201100000120110817<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 부산진구 양정동 184-1번지 시티존오피스텔 402호부산광역시 부산진구 동평로405번길 129 (양정동,시티존오피스텔 402호)<NA>오션스카이20110817151743I2018-08-31 23:59:59.0<NA>388772.534916188599.957444게임물배급업유통관련업<NA><NA>컴퓨터(프로그램)34.264<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9798게임물배급업03_05_01_P3290000CDFF224112201000000220100408<NA>1영업/정상13영업중<NA><NA><NA><NA>070-8925-8899<NA><NA>부산광역시 부산진구 개금동 540-159번지 3층부산광역시 부산진구 엄광로 52 (개금동,3층)<NA>동명테크20100408091757I2018-08-31 23:59:59.0<NA>384164.336884185077.160859게임물배급업유통관련업<NA><NA>소프트웨어개발, 제작84.243<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9899게임물배급업03_05_01_P3370000CDFF224112202000000120200730<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 연제구 연산동 1361-9 시청역 SK VIEW부산광역시 연제구 중앙대로1043번길 34, 118호 (연산동, 시청역 SK VIEW)47542에이치씨아이원 주식회사20200730112301I2020-08-01 00:23:22.0<NA>389065.762516188937.536793게임물배급업유통관련업<NA><NA>모바일게임82.11<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
99100게임물배급업03_05_01_P3370000CDFF224112201300000120131112<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 연제구 연산동 488-26번지부산광역시 연제구 과정로114번길 19 (연산동)47570한대전자20131112141923I2018-08-31 23:59:59.0<NA>391978.120845188980.260345게임물배급업유통관련업<NA><NA>온라인게임기78.24<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
100101게임물배급업03_05_01_P3370000CDFF224112201400000120140418<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 연제구 연산동 699-21번지 삼영주택부산광역시 연제구 대리로 4, 1층 (연산동, 삼영주택)47581부산전자20200515100241U2020-05-17 02:40:00.0<NA>390440.386888188272.902512게임물배급업유통관련업3<NA>아케이드게임기(전체이용가게임물)33.01<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
101102게임물배급업03_05_01_P3370000CDFF224112201900000120190619<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 연제구 연산동 1127-39번지부산광역시 연제구 월드컵대로 160, 5층 (연산동)47524놀소프트20190619112230I2019-06-21 02:21:17.0<NA>389315.72897189536.795366게임물배급업유통관련업<NA><NA>PC게임15.255<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
102103게임물배급업03_05_01_P3300000CDFF224112201200000120100203<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 동래구 안락동 426-26번지부산광역시 동래구 안락로 15 (안락동)47782CM소프트20120227111256I2018-08-31 23:59:59.0<NA>391078.853025191103.855668게임물배급업유통관련업10기타오락기유통108.2482근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>준공업지역<NA>
103104게임물배급업03_05_01_P3300000CDFF224112202000000120161025<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 동래구 사직동 1022번지 사직KCC스위첸부산광역시 동래구 사직북로 64, 106동 1801호 (사직동, 사직KCC스위첸)47861주식회사티더블유엘엘20200122090745I2020-01-23 00:23:24.0<NA>387224.564445190898.969281게임물배급업유통관련업22<NA>게임물 배급195.519<NA>기타<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
104105게임물배급업03_05_01_P3250000CDFF224112201700000120170817<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 중구 부평동4가 44-5번지부산광역시 중구 대청로 22-1, 2층 (부평동4가)48973삼봉전자20170817173333I2018-08-31 23:59:59.0<NA>384320.536338180094.434135게임물배급업유통관련업<NA><NA>게임물44.77<NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
105106게임물배급업03_05_01_P3250000CDFF224112200800000120080716<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 중구 부평동4가 52-3번지 골든시티오피스텔 504호부산광역시 중구 보수대로 82 (부평동4가, 골든시티오피스텔 504호)48973성진 AGS20111102171035I2018-08-31 23:59:59.0<NA>384249.201711180080.172972게임물배급업유통관련업17기타아케이드 게임물39.1143기타<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>