Overview

Dataset statistics

Number of variables60
Number of observations105
Missing cells3380
Missing cells (%)53.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory53.8 KiB
Average record size in memory524.3 B

Variable types

Numeric12
Categorical15
Unsupported28
Text5

Dataset

Description2021-01-04
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 (57.8%)Imbalance
데이터갱신일자 is highly imbalanced (55.3%)Imbalance
주변환경명 is highly imbalanced (70.6%)Imbalance
지하층수 is highly imbalanced (76.5%)Imbalance
건물용도명 is highly imbalanced (58.4%)Imbalance
지역구분명 is highly imbalanced (69.3%)Imbalance
인허가취소일자 has 105 (100.0%) missing valuesMissing
폐업일자 has 82 (78.1%) missing valuesMissing
휴업시작일자 has 105 (100.0%) missing valuesMissing
휴업종료일자 has 105 (100.0%) missing valuesMissing
재개업일자 has 105 (100.0%) missing valuesMissing
소재지전화 has 82 (78.1%) missing valuesMissing
소재지면적 has 105 (100.0%) missing valuesMissing
소재지우편번호 has 92 (87.6%) missing valuesMissing
소재지전체주소 has 2 (1.9%) missing valuesMissing
도로명우편번호 has 26 (24.8%) missing valuesMissing
업태구분명 has 105 (100.0%) missing valuesMissing
총층수 has 78 (74.3%) missing valuesMissing
제작취급품목내용 has 3 (2.9%) missing valuesMissing
시설면적 has 9 (8.6%) missing valuesMissing
지상층수 has 65 (61.9%) missing valuesMissing
통로너비 has 105 (100.0%) missing valuesMissing
조명시설조도 has 105 (100.0%) missing valuesMissing
노래방실수 has 105 (100.0%) missing valuesMissing
청소년실수 has 105 (100.0%) missing valuesMissing
비상계단여부 has 105 (100.0%) missing valuesMissing
비상구여부 has 105 (100.0%) missing valuesMissing
자동환기여부 has 105 (100.0%) missing valuesMissing
청소년실여부 has 105 (100.0%) missing valuesMissing
특수조명여부 has 105 (100.0%) missing valuesMissing
방음시설여부 has 105 (100.0%) missing valuesMissing
비디오재생기명 has 105 (100.0%) missing valuesMissing
조명시설유무 has 105 (100.0%) missing valuesMissing
음향시설여부 has 105 (100.0%) missing valuesMissing
편의시설여부 has 105 (100.0%) missing valuesMissing
소방시설여부 has 105 (100.0%) missing valuesMissing
총게임기수 has 105 (100.0%) missing valuesMissing
기존게임업외업종명 has 105 (100.0%) missing valuesMissing
제공게임물명 has 105 (100.0%) missing valuesMissing
공연장형태구분명 has 105 (100.0%) missing valuesMissing
품목명 has 105 (100.0%) missing valuesMissing
최초등록시점 has 105 (100.0%) missing valuesMissing
Unnamed: 59 has 105 (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 (2.9%) zerosZeros

Reproduction

Analysis started2024-04-16 22:44:58.049453
Analysis finished2024-04-16 22:44:58.591181
Duration0.54 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct105
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean53
Minimum1
Maximum105
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-17T07:44:58.650759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.2
Q127
median53
Q379
95-th percentile99.8
Maximum105
Range104
Interquartile range (IQR)52

Descriptive statistics

Standard deviation30.454885
Coefficient of variation (CV)0.57462047
Kurtosis-1.2
Mean53
Median Absolute Deviation (MAD)26
Skewness0
Sum5565
Variance927.5
MonotonicityStrictly increasing
2024-04-17T07:44:58.759705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.0%
80 1
 
1.0%
78 1
 
1.0%
77 1
 
1.0%
76 1
 
1.0%
75 1
 
1.0%
74 1
 
1.0%
73 1
 
1.0%
72 1
 
1.0%
71 1
 
1.0%
Other values (95) 95
90.5%
ValueCountFrequency (%)
1 1
1.0%
2 1
1.0%
3 1
1.0%
4 1
1.0%
5 1
1.0%
6 1
1.0%
7 1
1.0%
8 1
1.0%
9 1
1.0%
10 1
1.0%
ValueCountFrequency (%)
105 1
1.0%
104 1
1.0%
103 1
1.0%
102 1
1.0%
101 1
1.0%
100 1
1.0%
99 1
1.0%
98 1
1.0%
97 1
1.0%
96 1
1.0%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size972.0 B
게임물배급업
105 

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 105
100.0%

Length

2024-04-17T07:44:58.855816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T07:44:58.923868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
게임물배급업 105
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size972.0 B
03_05_01_P
105 

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 105
100.0%

Length

2024-04-17T07:44:58.998446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T07:44:59.070735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_05_01_p 105
100.0%

개방자치단체코드
Real number (ℝ)

Distinct15
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3322761.9
Minimum3250000
Maximum3390000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-17T07:44:59.140229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3250000
5-th percentile3270000
Q13290000
median3330000
Q33350000
95-th percentile3388000
Maximum3390000
Range140000
Interquartile range (IQR)60000

Descriptive statistics

Standard deviation36492.761
Coefficient of variation (CV)0.010982659
Kurtosis-0.93325233
Mean3322761.9
Median Absolute Deviation (MAD)40000
Skewness0.24591339
Sum3.4889 × 108
Variance1.3317216 × 109
MonotonicityNot monotonic
2024-04-17T07:44:59.233568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
3290000 29
27.6%
3330000 22
21.0%
3370000 8
 
7.6%
3360000 7
 
6.7%
3310000 7
 
6.7%
3390000 6
 
5.7%
3380000 5
 
4.8%
3270000 4
 
3.8%
3340000 3
 
2.9%
3350000 3
 
2.9%
Other values (5) 11
 
10.5%
ValueCountFrequency (%)
3250000 2
 
1.9%
3260000 1
 
1.0%
3270000 4
 
3.8%
3280000 2
 
1.9%
3290000 29
27.6%
3300000 3
 
2.9%
3310000 7
 
6.7%
3320000 3
 
2.9%
3330000 22
21.0%
3340000 3
 
2.9%
ValueCountFrequency (%)
3390000 6
 
5.7%
3380000 5
 
4.8%
3370000 8
 
7.6%
3360000 7
 
6.7%
3350000 3
 
2.9%
3340000 3
 
2.9%
3330000 22
21.0%
3320000 3
 
2.9%
3310000 7
 
6.7%
3300000 3
 
2.9%

관리번호
Categorical

Distinct42
Distinct (%)40.0%
Missing0
Missing (%)0.0%
Memory size972.0 B
CDFF2241122020000001
CDFF2241122017000001
 
7
CDFF2241122018000001
 
6
CDFF2241122016000001
 
6
CDFF2241122019000001
 
5
Other values (37)
73 

Length

Max length20
Median length20
Mean length20
Min length20

Unique

Unique18 ?
Unique (%)17.1%

Sample

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

Common Values

ValueCountFrequency (%)
CDFF2241122020000001 8
 
7.6%
CDFF2241122017000001 7
 
6.7%
CDFF2241122018000001 6
 
5.7%
CDFF2241122016000001 6
 
5.7%
CDFF2241122019000001 5
 
4.8%
CDFF2241122012000001 5
 
4.8%
CDFF2241122009000001 5
 
4.8%
CDFF2241122011000001 5
 
4.8%
CDFF2241122006000001 4
 
3.8%
CDFF2241122008000001 4
 
3.8%
Other values (32) 50
47.6%

Length

2024-04-17T07:44:59.331239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
cdff2241122020000001 8
 
7.6%
cdff2241122017000001 7
 
6.7%
cdff2241122018000001 6
 
5.7%
cdff2241122016000001 6
 
5.7%
cdff2241122019000001 5
 
4.8%
cdff2241122012000001 5
 
4.8%
cdff2241122009000001 5
 
4.8%
cdff2241122011000001 5
 
4.8%
cdff2241122014000001 4
 
3.8%
cdff2241122008000001 4
 
3.8%
Other values (32) 50
47.6%

인허가일자
Real number (ℝ)

Distinct100
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20133754
Minimum20000712
Maximum20201021
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-17T07:44:59.430241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20000712
5-th percentile20060427
Q120091218
median20131112
Q320171031
95-th percentile20200544
Maximum20201021
Range200309
Interquartile range (IQR)79813

Descriptive statistics

Standard deviation47061.282
Coefficient of variation (CV)0.0023374321
Kurtosis-0.78869707
Mean20133754
Median Absolute Deviation (MAD)39919
Skewness-0.31239748
Sum2.1140441 × 109
Variance2.2147643 × 109
MonotonicityNot monotonic
2024-04-17T07:44:59.552183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20090817 3
 
2.9%
20161024 2
 
1.9%
20160322 2
 
1.9%
20131112 2
 
1.9%
20200221 1
 
1.0%
20170821 1
 
1.0%
20171024 1
 
1.0%
20180111 1
 
1.0%
20200306 1
 
1.0%
20100629 1
 
1.0%
Other values (90) 90
85.7%
ValueCountFrequency (%)
20000712 1
1.0%
20050112 1
1.0%
20050124 1
1.0%
20050325 1
1.0%
20050720 1
1.0%
20060427 1
1.0%
20060428 1
1.0%
20060627 1
1.0%
20060706 1
1.0%
20060919 1
1.0%
ValueCountFrequency (%)
20201021 1
1.0%
20201014 1
1.0%
20200730 1
1.0%
20200612 1
1.0%
20200609 1
1.0%
20200604 1
1.0%
20200306 1
1.0%
20200228 1
1.0%
20200221 1
1.0%
20200103 1
1.0%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing105
Missing (%)100.0%
Memory size1.1 KiB
Distinct3
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size972.0 B
1
82 
3
22 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 82
78.1%
3 22
 
21.0%
4 1
 
1.0%

Length

2024-04-17T07:44:59.661196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T07:44:59.737034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 82
78.1%
3 22
 
21.0%
4 1
 
1.0%

영업상태명
Categorical

Distinct3
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size972.0 B
영업/정상
82 
폐업
22 
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length5
Mean length4.4571429
Min length2

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 82
78.1%
폐업 22
 
21.0%
취소/말소/만료/정지/중지 1
 
1.0%

Length

2024-04-17T07:44:59.820561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T07:44:59.899693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 82
78.1%
폐업 22
 
21.0%
취소/말소/만료/정지/중지 1
 
1.0%
Distinct3
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size972.0 B
13
82 
3
22 
35
 
1

Length

Max length2
Median length2
Mean length1.7904762
Min length1

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 82
78.1%
3 22
 
21.0%
35 1
 
1.0%

Length

2024-04-17T07:44:59.986901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T07:45:00.067738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 82
78.1%
3 22
 
21.0%
35 1
 
1.0%
Distinct3
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size972.0 B
영업중
82 
폐업
22 
직권말소
 
1

Length

Max length4
Median length3
Mean length2.8
Min length2

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 82
78.1%
폐업 22
 
21.0%
직권말소 1
 
1.0%

Length

2024-04-17T07:45:00.157946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T07:45:00.245612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 82
78.1%
폐업 22
 
21.0%
직권말소 1
 
1.0%

폐업일자
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)100.0%
Missing82
Missing (%)78.1%
Infinite0
Infinite (%)0.0%
Mean20147636
Minimum20070907
Maximum20201006
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-17T07:45:00.325833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20070907
5-th percentile20092377
Q120130376
median20150630
Q320170771
95-th percentile20189952
Maximum20201006
Range130099
Interquartile range (IQR)40394.5

Descriptive statistics

Standard deviation32505.61
Coefficient of variation (CV)0.0016133709
Kurtosis0.072751411
Mean20147636
Median Absolute Deviation (MAD)20303
Skewness-0.58273537
Sum4.6339562 × 108
Variance1.0566147 × 109
MonotonicityNot monotonic
2024-04-17T07:45:00.428660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
20150223 1
 
1.0%
20160427 1
 
1.0%
20110113 1
 
1.0%
20090406 1
 
1.0%
20130510 1
 
1.0%
20130327 1
 
1.0%
20151230 1
 
1.0%
20150420 1
 
1.0%
20160803 1
 
1.0%
20181212 1
 
1.0%
Other values (13) 13
 
12.4%
(Missing) 82
78.1%
ValueCountFrequency (%)
20070907 1
1.0%
20090406 1
1.0%
20110113 1
1.0%
20110602 1
1.0%
20121121 1
1.0%
20130327 1
1.0%
20130426 1
1.0%
20130510 1
1.0%
20140430 1
1.0%
20150223 1
1.0%
ValueCountFrequency (%)
20201006 1
1.0%
20190923 1
1.0%
20181212 1
1.0%
20181207 1
1.0%
20180226 1
1.0%
20171211 1
1.0%
20170331 1
1.0%
20160926 1
1.0%
20160803 1
1.0%
20160427 1
1.0%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing105
Missing (%)100.0%
Memory size1.1 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing105
Missing (%)100.0%
Memory size1.1 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing105
Missing (%)100.0%
Memory size1.1 KiB

소재지전화
Text

MISSING 

Distinct21
Distinct (%)91.3%
Missing82
Missing (%)78.1%
Memory size972.0 B
2024-04-17T07:45:00.576803image/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%
941-8710 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%
Other values (11) 11
47.8%
2024-04-17T07:45:00.867518image/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 

Missing105
Missing (%)100.0%
Memory size1.1 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)84.6%
Missing92
Missing (%)87.6%
Infinite0
Infinite (%)0.0%
Mean613209.77
Minimum601822
Maximum618820
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-17T07:45:00.962682image/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
2024-04-17T07:45:01.044969image/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
 
1.0%
601822 1
 
1.0%
602837 1
 
1.0%
614866 1
 
1.0%
611803 1
 
1.0%
611816 1
 
1.0%
614856 1
 
1.0%
614836 1
 
1.0%
(Missing) 92
87.6%
ValueCountFrequency (%)
601822 1
1.0%
602837 1
1.0%
611803 1
1.0%
611816 1
1.0%
614731 1
1.0%
614836 1
1.0%
614853 2
1.9%
614856 1
1.0%
614866 1
1.0%
617817 2
1.9%
ValueCountFrequency (%)
618820 1
1.0%
617817 2
1.9%
614866 1
1.0%
614856 1
1.0%
614853 2
1.9%
614836 1
1.0%
614731 1
1.0%
611816 1
1.0%
611803 1
1.0%
602837 1
1.0%

소재지전체주소
Text

MISSING 

Distinct99
Distinct (%)96.1%
Missing2
Missing (%)1.9%
Memory size972.0 B
2024-04-17T07:45:01.299778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length39
Mean length26.708738
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

Unique95 ?
Unique (%)92.2%

Sample

1st row부산광역시 부산진구 전포동 554-8번지 정우빌딩 지하1층
2nd row부산광역시 해운대구 우동
3rd row부산광역시 해운대구 우동 1484번지 한화꿈에그린센텀 A동 1109호
4th row부산광역시 수영구 남천동 556-17번지 4층
5th row부산광역시 사하구 괴정동 550-19번지
ValueCountFrequency (%)
부산광역시 103
 
20.2%
부산진구 29
 
5.7%
해운대구 22
 
4.3%
우동 18
 
3.5%
양정동 12
 
2.4%
연제구 8
 
1.6%
강서구 7
 
1.4%
전포동 7
 
1.4%
남구 7
 
1.4%
사상구 6
 
1.2%
Other values (215) 290
57.0%
2024-04-17T07:45:01.668769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
406
 
14.8%
149
 
5.4%
147
 
5.3%
1 125
 
4.5%
119
 
4.3%
109
 
4.0%
106
 
3.9%
104
 
3.8%
104
 
3.8%
104
 
3.8%
Other values (165) 1278
46.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1670
60.7%
Decimal Number 573
 
20.8%
Space Separator 406
 
14.8%
Dash Punctuation 82
 
3.0%
Uppercase Letter 15
 
0.5%
Open Punctuation 2
 
0.1%
Close Punctuation 2
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
149
 
8.9%
147
 
8.8%
119
 
7.1%
109
 
6.5%
106
 
6.3%
104
 
6.2%
104
 
6.2%
104
 
6.2%
97
 
5.8%
35
 
2.1%
Other values (140) 596
35.7%
Decimal Number
ValueCountFrequency (%)
1 125
21.8%
2 70
12.2%
6 65
11.3%
4 62
10.8%
3 53
9.2%
0 44
 
7.7%
5 43
 
7.5%
8 41
 
7.2%
7 35
 
6.1%
9 35
 
6.1%
Uppercase Letter
ValueCountFrequency (%)
K 3
20.0%
C 2
13.3%
S 2
13.3%
A 2
13.3%
T 1
 
6.7%
L 1
 
6.7%
V 1
 
6.7%
I 1
 
6.7%
E 1
 
6.7%
W 1
 
6.7%
Space Separator
ValueCountFrequency (%)
406
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 82
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1670
60.7%
Common 1066
38.7%
Latin 15
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
149
 
8.9%
147
 
8.8%
119
 
7.1%
109
 
6.5%
106
 
6.3%
104
 
6.2%
104
 
6.2%
104
 
6.2%
97
 
5.8%
35
 
2.1%
Other values (140) 596
35.7%
Common
ValueCountFrequency (%)
406
38.1%
1 125
 
11.7%
- 82
 
7.7%
2 70
 
6.6%
6 65
 
6.1%
4 62
 
5.8%
3 53
 
5.0%
0 44
 
4.1%
5 43
 
4.0%
8 41
 
3.8%
Other values (5) 75
 
7.0%
Latin
ValueCountFrequency (%)
K 3
20.0%
C 2
13.3%
S 2
13.3%
A 2
13.3%
T 1
 
6.7%
L 1
 
6.7%
V 1
 
6.7%
I 1
 
6.7%
E 1
 
6.7%
W 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1670
60.7%
ASCII 1081
39.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
406
37.6%
1 125
 
11.6%
- 82
 
7.6%
2 70
 
6.5%
6 65
 
6.0%
4 62
 
5.7%
3 53
 
4.9%
0 44
 
4.1%
5 43
 
4.0%
8 41
 
3.8%
Other values (15) 90
 
8.3%
Hangul
ValueCountFrequency (%)
149
 
8.9%
147
 
8.8%
119
 
7.1%
109
 
6.5%
106
 
6.3%
104
 
6.2%
104
 
6.2%
104
 
6.2%
97
 
5.8%
35
 
2.1%
Other values (140) 596
35.7%
Distinct100
Distinct (%)96.2%
Missing1
Missing (%)1.0%
Memory size972.0 B
2024-04-17T07:45:01.955245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length40
Mean length34.625
Min length22

Characters and Unicode

Total characters3601
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

Unique96 ?
Unique (%)92.3%

Sample

1st row부산광역시 부산진구 전포대로306번길 6 (전포동,정우빌딩 지하1층)
2nd row부산광역시 해운대구 센텀서로 30, 17층 (우동)
3rd row부산광역시 해운대구 센텀동로 26, A동 1109호 (우동,한화꿈에그린센텀)
4th row부산광역시 수영구 황령대로489번길 14, 4층 403-1호 (남천동, 대성상가)
5th row부산광역시 사하구 장평로 453, 616호 (괴정동)
ValueCountFrequency (%)
부산광역시 104
 
15.8%
부산진구 28
 
4.3%
해운대구 22
 
3.3%
우동 17
 
2.6%
양정동 9
 
1.4%
1층 8
 
1.2%
연제구 8
 
1.2%
수영강변대로 7
 
1.1%
강서구 7
 
1.1%
남구 7
 
1.1%
Other values (311) 441
67.0%
2024-04-17T07:45:02.356401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
579
 
16.1%
152
 
4.2%
150
 
4.2%
1 139
 
3.9%
134
 
3.7%
113
 
3.1%
109
 
3.0%
108
 
3.0%
( 105
 
2.9%
105
 
2.9%
Other values (198) 1907
53.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2077
57.7%
Decimal Number 601
 
16.7%
Space Separator 579
 
16.1%
Open Punctuation 105
 
2.9%
Close Punctuation 105
 
2.9%
Other Punctuation 102
 
2.8%
Uppercase Letter 21
 
0.6%
Dash Punctuation 10
 
0.3%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
152
 
7.3%
150
 
7.2%
134
 
6.5%
113
 
5.4%
109
 
5.2%
108
 
5.2%
105
 
5.1%
100
 
4.8%
71
 
3.4%
50
 
2.4%
Other values (171) 985
47.4%
Uppercase Letter
ValueCountFrequency (%)
K 4
19.0%
C 3
14.3%
A 3
14.3%
E 2
9.5%
S 2
9.5%
L 2
9.5%
W 1
 
4.8%
T 1
 
4.8%
I 1
 
4.8%
V 1
 
4.8%
Decimal Number
ValueCountFrequency (%)
1 139
23.1%
2 96
16.0%
0 74
12.3%
3 63
10.5%
4 57
9.5%
6 46
 
7.7%
9 39
 
6.5%
5 33
 
5.5%
8 27
 
4.5%
7 27
 
4.5%
Space Separator
ValueCountFrequency (%)
579
100.0%
Open Punctuation
ValueCountFrequency (%)
( 105
100.0%
Close Punctuation
ValueCountFrequency (%)
) 105
100.0%
Other Punctuation
ValueCountFrequency (%)
, 102
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2077
57.7%
Common 1503
41.7%
Latin 21
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
152
 
7.3%
150
 
7.2%
134
 
6.5%
113
 
5.4%
109
 
5.2%
108
 
5.2%
105
 
5.1%
100
 
4.8%
71
 
3.4%
50
 
2.4%
Other values (171) 985
47.4%
Common
ValueCountFrequency (%)
579
38.5%
1 139
 
9.2%
( 105
 
7.0%
) 105
 
7.0%
, 102
 
6.8%
2 96
 
6.4%
0 74
 
4.9%
3 63
 
4.2%
4 57
 
3.8%
6 46
 
3.1%
Other values (6) 137
 
9.1%
Latin
ValueCountFrequency (%)
K 4
19.0%
C 3
14.3%
A 3
14.3%
E 2
9.5%
S 2
9.5%
L 2
9.5%
W 1
 
4.8%
T 1
 
4.8%
I 1
 
4.8%
V 1
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2077
57.7%
ASCII 1524
42.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
579
38.0%
1 139
 
9.1%
( 105
 
6.9%
) 105
 
6.9%
, 102
 
6.7%
2 96
 
6.3%
0 74
 
4.9%
3 63
 
4.1%
4 57
 
3.7%
6 46
 
3.0%
Other values (17) 158
 
10.4%
Hangul
ValueCountFrequency (%)
152
 
7.3%
150
 
7.2%
134
 
6.5%
113
 
5.4%
109
 
5.2%
108
 
5.2%
105
 
5.1%
100
 
4.8%
71
 
3.4%
50
 
2.4%
Other values (171) 985
47.4%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct57
Distinct (%)72.2%
Missing26
Missing (%)24.8%
Infinite0
Infinite (%)0.0%
Mean83556.089
Minimum46213
Maximum617800
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-17T07:45:02.471875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46213
5-th percentile46636
Q147246.5
median48058
Q348350
95-th percentile609124.5
Maximum617800
Range571587
Interquartile range (IQR)1103.5

Descriptive statistics

Standard deviation138414.3
Coefficient of variation (CV)1.6565436
Kurtosis11.669151
Mean83556.089
Median Absolute Deviation (MAD)706
Skewness3.6569521
Sum6600931
Variance1.9158518 × 1010
MonotonicityNot monotonic
2024-04-17T07:45:02.578356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48058 12
 
11.4%
48059 3
 
2.9%
47296 3
 
2.9%
48973 2
 
1.9%
46636 2
 
1.9%
47229 2
 
1.9%
48480 2
 
1.9%
47212 2
 
1.9%
47237 2
 
1.9%
48060 2
 
1.9%
Other values (47) 47
44.8%
(Missing) 26
24.8%
ValueCountFrequency (%)
46213 1
1.0%
46223 1
1.0%
46284 1
1.0%
46636 2
1.9%
46652 1
1.0%
46723 1
1.0%
46726 1
1.0%
46974 1
1.0%
46994 1
1.0%
47007 1
1.0%
ValueCountFrequency (%)
617800 1
1.0%
613011 1
1.0%
611814 1
1.0%
611802 1
1.0%
608827 1
1.0%
49521 1
1.0%
49402 1
1.0%
49394 1
1.0%
49055 1
1.0%
48973 2
1.9%
Distinct103
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size972.0 B
2024-04-17T07:45:02.814989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length13
Mean length6.7238095
Min length2

Characters and Unicode

Total characters706
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

Unique101 ?
Unique (%)96.2%

Sample

1st row(주)링크바이
2nd row(주)로지웨어
3rd row한빛소프트
4th row제이에스테크
5th row주원소프트
ValueCountFrequency (%)
주식회사 16
 
11.9%
소프트 3
 
2.2%
아트전자타운 2
 
1.5%
성공드림 2
 
1.5%
소미 1
 
0.7%
아워소프트 1
 
0.7%
씨플레이 1
 
0.7%
게임즈 1
 
0.7%
비욘드윌 1
 
0.7%
주)엔탑 1
 
0.7%
Other values (105) 105
78.4%
2024-04-17T07:45:03.177491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
37
 
5.2%
29
 
4.1%
28
 
4.0%
28
 
4.0%
( 25
 
3.5%
) 25
 
3.5%
20
 
2.8%
20
 
2.8%
19
 
2.7%
18
 
2.5%
Other values (167) 457
64.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 571
80.9%
Uppercase Letter 33
 
4.7%
Space Separator 29
 
4.1%
Open Punctuation 25
 
3.5%
Close Punctuation 25
 
3.5%
Lowercase Letter 14
 
2.0%
Other Punctuation 5
 
0.7%
Decimal Number 4
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
37
 
6.5%
28
 
4.9%
28
 
4.9%
20
 
3.5%
20
 
3.5%
19
 
3.3%
18
 
3.2%
17
 
3.0%
16
 
2.8%
16
 
2.8%
Other values (135) 352
61.6%
Uppercase Letter
ValueCountFrequency (%)
C 5
15.2%
N 4
12.1%
G 3
 
9.1%
Y 3
 
9.1%
L 2
 
6.1%
A 2
 
6.1%
K 2
 
6.1%
E 2
 
6.1%
V 1
 
3.0%
I 1
 
3.0%
Other values (8) 8
24.2%
Lowercase Letter
ValueCountFrequency (%)
o 5
35.7%
g 2
 
14.3%
n 2
 
14.3%
u 1
 
7.1%
a 1
 
7.1%
w 1
 
7.1%
s 1
 
7.1%
j 1
 
7.1%
Decimal Number
ValueCountFrequency (%)
7 3
75.0%
2 1
 
25.0%
Space Separator
ValueCountFrequency (%)
29
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Other Punctuation
ValueCountFrequency (%)
. 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 571
80.9%
Common 88
 
12.5%
Latin 47
 
6.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
37
 
6.5%
28
 
4.9%
28
 
4.9%
20
 
3.5%
20
 
3.5%
19
 
3.3%
18
 
3.2%
17
 
3.0%
16
 
2.8%
16
 
2.8%
Other values (135) 352
61.6%
Latin
ValueCountFrequency (%)
o 5
 
10.6%
C 5
 
10.6%
N 4
 
8.5%
G 3
 
6.4%
Y 3
 
6.4%
L 2
 
4.3%
A 2
 
4.3%
g 2
 
4.3%
n 2
 
4.3%
K 2
 
4.3%
Other values (16) 17
36.2%
Common
ValueCountFrequency (%)
29
33.0%
( 25
28.4%
) 25
28.4%
. 5
 
5.7%
7 3
 
3.4%
2 1
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 571
80.9%
ASCII 135
 
19.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
37
 
6.5%
28
 
4.9%
28
 
4.9%
20
 
3.5%
20
 
3.5%
19
 
3.3%
18
 
3.2%
17
 
3.0%
16
 
2.8%
16
 
2.8%
Other values (135) 352
61.6%
ASCII
ValueCountFrequency (%)
29
21.5%
( 25
18.5%
) 25
18.5%
o 5
 
3.7%
C 5
 
3.7%
. 5
 
3.7%
N 4
 
3.0%
G 3
 
2.2%
7 3
 
2.2%
Y 3
 
2.2%
Other values (22) 28
20.7%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct105
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0151069 × 1013
Minimum2.0070907 × 1013
Maximum2.0201021 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-17T07:45:03.302747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0070907 × 1013
5-th percentile2.0081212 × 1013
Q12.0120905 × 1013
median2.016062 × 1013
Q32.0181207 × 1013
95-th percentile2.0200612 × 1013
Maximum2.0201021 × 1013
Range1.3011396 × 1011
Interquartile range (IQR)6.0302046 × 1010

Descriptive statistics

Standard deviation3.8158631 × 1010
Coefficient of variation (CV)0.0018936281
Kurtosis-0.98806115
Mean2.0151069 × 1013
Median Absolute Deviation (MAD)2.999005 × 1010
Skewness-0.44022539
Sum2.1158623 × 1015
Variance1.4560812 × 1021
MonotonicityNot monotonic
2024-04-17T07:45:03.436294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20180423171018 1
 
1.0%
20151224092221 1
 
1.0%
20170821142428 1
 
1.0%
20171024115420 1
 
1.0%
20180112151846 1
 
1.0%
20200306104601 1
 
1.0%
20111227092451 1
 
1.0%
20111227092705 1
 
1.0%
20161024092520 1
 
1.0%
20190207155031 1
 
1.0%
Other values (95) 95
90.5%
ValueCountFrequency (%)
20070907142304 1
1.0%
20080128110059 1
1.0%
20080128110415 1
1.0%
20080128110842 1
1.0%
20080128111134 1
1.0%
20081212110417 1
1.0%
20081212111901 1
1.0%
20090216111046 1
1.0%
20090406171437 1
1.0%
20090817105300 1
1.0%
ValueCountFrequency (%)
20201021104021 1
1.0%
20201014174051 1
1.0%
20201006165006 1
1.0%
20200806195951 1
1.0%
20200730112301 1
1.0%
20200612175818 1
1.0%
20200609135642 1
1.0%
20200604102139 1
1.0%
20200515100241 1
1.0%
20200306104601 1
1.0%

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size972.0 B
I
96 
U
 
9

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
91.4%
U 9
 
8.6%

Length

2024-04-17T07:45:03.542742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T07:45:03.620246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 96
91.4%
u 9
 
8.6%

데이터갱신일자
Categorical

IMBALANCE 

Distinct30
Distinct (%)28.6%
Missing0
Missing (%)0.0%
Memory size972.0 B
2018-08-31 23:59:59.0
76 
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 (25)
25 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique29 ?
Unique (%)27.6%

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 76
72.4%
2019-09-27 02:40:00.0 1
 
1.0%
2020-10-08 02:40:00.0 1
 
1.0%
2018-12-09 02:40:00.0 1
 
1.0%
2018-12-16 02:40:00.0 1
 
1.0%
2020-10-16 00:23:10.0 1
 
1.0%
2020-08-08 00:23:14.0 1
 
1.0%
2020-06-06 00:23:18.0 1
 
1.0%
2020-01-05 00:23:25.0 1
 
1.0%
2019-11-09 00:23:10.0 1
 
1.0%
Other values (20) 20
 
19.0%

Length

2024-04-17T07:45:03.697145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
23:59:59.0 77
36.7%
2018-08-31 76
36.2%
02:40:00.0 8
 
3.8%
2019-06-19 2
 
1.0%
00:23:10.0 2
 
1.0%
00:23:22.0 2
 
1.0%
2020-02-23 1
 
0.5%
2020-10-23 1
 
0.5%
00:23:09.0 1
 
0.5%
2020-06-11 1
 
0.5%
Other values (39) 39
18.6%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing105
Missing (%)100.0%
Memory size1.1 KiB

좌표정보(x)
Real number (ℝ)

Distinct86
Distinct (%)81.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean388036.89
Minimum367948.47
Maximum398628.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-17T07:45:03.806012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum367948.47
5-th percentile376799.26
Q1385886
median388363.48
Q3392071.32
95-th percentile394208.55
Maximum398628.5
Range30680.035
Interquartile range (IQR)6185.3135

Descriptive statistics

Standard deviation5406.5697
Coefficient of variation (CV)0.013933133
Kurtosis1.366099
Mean388036.89
Median Absolute Deviation (MAD)3614.6445
Skewness-0.90505789
Sum40743874
Variance29230995
MonotonicityNot monotonic
2024-04-17T07:45:04.134162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
393573.517296519 7
 
6.7%
387598.777340921 2
 
1.9%
385886.002383851 2
 
1.9%
393963.840834294 2
 
1.9%
388343.915181156 2
 
1.9%
388153.839025721 2
 
1.9%
388364.52150663 2
 
1.9%
381768.926729502 2
 
1.9%
389012.752651564 2
 
1.9%
393851.969576247 2
 
1.9%
Other values (76) 80
76.2%
ValueCountFrequency (%)
367948.46831947 1
1.0%
374487.930784478 1
1.0%
375557.335938 2
1.9%
376775.500473305 2
1.9%
376894.273461237 1
1.0%
380584.827692524 1
1.0%
380846.109930312 1
1.0%
380857.84856448 1
1.0%
381060.932562209 1
1.0%
381172.422719493 1
1.0%
ValueCountFrequency (%)
398628.503470003 1
1.0%
398304.016430747 1
1.0%
397483.944608153 1
1.0%
395553.873163203 1
1.0%
394259.857138235 1
1.0%
394209.294344881 1
1.0%
394205.564135188 1
1.0%
393963.840834294 2
1.9%
393901.99210345 1
1.0%
393851.969576247 2
1.9%

좌표정보(y)
Real number (ℝ)

Distinct86
Distinct (%)81.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean186434.71
Minimum175201.03
Maximum199051.51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-17T07:45:04.244313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum175201.03
5-th percentile179113.37
Q1185077.16
median187381.15
Q3188040.28
95-th percentile190849.41
Maximum199051.51
Range23850.484
Interquartile range (IQR)2963.12

Descriptive statistics

Standard deviation3792.9841
Coefficient of variation (CV)0.020344838
Kurtosis1.9500368
Mean186434.71
Median Absolute Deviation (MAD)1556.3893
Skewness-0.15029664
Sum19575645
Variance14386728
MonotonicityNot monotonic
2024-04-17T07:45:04.382223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
188018.687138009 7
 
6.7%
185636.701047663 2
 
1.9%
178508.293113873 2
 
1.9%
188061.35516256 2
 
1.9%
188007.509923531 2
 
1.9%
186593.504685927 2
 
1.9%
187980.59766413 2
 
1.9%
190377.887210834 2
 
1.9%
182441.948899344 2
 
1.9%
187910.040763301 2
 
1.9%
Other values (76) 80
76.2%
ValueCountFrequency (%)
175201.028956516 1
1.0%
177748.085730126 1
1.0%
178508.293113873 2
1.9%
178988.233459295 1
1.0%
179008.856820686 1
1.0%
179531.431604856 1
1.0%
179717.44326365 1
1.0%
180080.172971726 1
1.0%
180094.434135283 1
1.0%
180109.21418 2
1.9%
ValueCountFrequency (%)
199051.512822937 1
1.0%
198389.90766378 1
1.0%
194838.893513386 1
1.0%
191407.941480296 1
1.0%
191103.855668201 1
1.0%
190898.969281116 1
1.0%
190651.151022739 1
1.0%
190377.887210834 2
1.9%
190238.747318967 1
1.0%
189883.55660639 1
1.0%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size972.0 B
게임물배급업
105 

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 105
100.0%

Length

2024-04-17T07:45:04.484676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T07:45:04.562516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
게임물배급업 105
100.0%

문화사업자구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size972.0 B
유통관련업
105 

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 105
100.0%

Length

2024-04-17T07:45:04.637669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T07:45:04.704728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 105
100.0%

총층수
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)51.9%
Missing78
Missing (%)74.3%
Infinite0
Infinite (%)0.0%
Mean6.4074074
Minimum1
Maximum22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-17T07:45:04.776853image/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
2024-04-17T07:45:04.862866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
2 6
 
5.7%
5 5
 
4.8%
4 3
 
2.9%
1 3
 
2.9%
6 1
 
1.0%
20 1
 
1.0%
7 1
 
1.0%
8 1
 
1.0%
12 1
 
1.0%
16 1
 
1.0%
Other values (4) 4
 
3.8%
(Missing) 78
74.3%
ValueCountFrequency (%)
1 3
2.9%
2 6
5.7%
3 1
 
1.0%
4 3
2.9%
5 5
4.8%
6 1
 
1.0%
7 1
 
1.0%
8 1
 
1.0%
10 1
 
1.0%
12 1
 
1.0%
ValueCountFrequency (%)
22 1
 
1.0%
20 1
 
1.0%
17 1
 
1.0%
16 1
 
1.0%
12 1
 
1.0%
10 1
 
1.0%
8 1
 
1.0%
7 1
 
1.0%
6 1
 
1.0%
5 5
4.8%

주변환경명
Categorical

IMBALANCE 

Distinct5
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size972.0 B
<NA>
92 
기타
10 
아파트지역
 
1
학교정화(절대)
 
1
학교정화(상대)
 
1

Length

Max length8
Median length4
Mean length3.8952381
Min length2

Unique

Unique3 ?
Unique (%)2.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 92
87.6%
기타 10
 
9.5%
아파트지역 1
 
1.0%
학교정화(절대) 1
 
1.0%
학교정화(상대) 1
 
1.0%

Length

2024-04-17T07:45:04.958903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T07:45:05.062963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 92
87.6%
기타 10
 
9.5%
아파트지역 1
 
1.0%
학교정화(절대 1
 
1.0%
학교정화(상대 1
 
1.0%
Distinct64
Distinct (%)62.7%
Missing3
Missing (%)2.9%
Memory size972.0 B
2024-04-17T07:45:05.255871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length19
Mean length8.0490196
Min length3

Characters and Unicode

Total characters821
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 (%)47.1%

Sample

1st row아케이드 게임기
2nd row게임배급업
3rd row온라인저보게임배급
4th row게임배급업
5th row아케이드게임물
ValueCountFrequency (%)
게임물 18
 
11.1%
아케이드 15
 
9.3%
게임 9
 
5.6%
모바일게임 8
 
4.9%
게임기 7
 
4.3%
모바일 7
 
4.3%
아케이드게임기 5
 
3.1%
아케이드게임 5
 
3.1%
배급 5
 
3.1%
5
 
3.1%
Other values (61) 78
48.1%
2024-04-17T07:45:05.573827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
89
 
10.8%
89
 
10.8%
60
 
7.3%
44
 
5.4%
35
 
4.3%
34
 
4.1%
33
 
4.0%
33
 
4.0%
28
 
3.4%
, 20
 
2.4%
Other values (87) 356
43.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 699
85.1%
Space Separator 60
 
7.3%
Other Punctuation 24
 
2.9%
Uppercase Letter 19
 
2.3%
Close Punctuation 7
 
0.9%
Open Punctuation 7
 
0.9%
Decimal Number 2
 
0.2%
Lowercase Letter 2
 
0.2%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
89
 
12.7%
89
 
12.7%
44
 
6.3%
35
 
5.0%
34
 
4.9%
33
 
4.7%
33
 
4.7%
28
 
4.0%
20
 
2.9%
19
 
2.7%
Other values (69) 275
39.3%
Uppercase Letter
ValueCountFrequency (%)
P 6
31.6%
C 6
31.6%
V 2
 
10.5%
R 2
 
10.5%
W 1
 
5.3%
E 1
 
5.3%
B 1
 
5.3%
Other Punctuation
ValueCountFrequency (%)
, 20
83.3%
/ 3
 
12.5%
· 1
 
4.2%
Decimal Number
ValueCountFrequency (%)
8 1
50.0%
1 1
50.0%
Lowercase Letter
ValueCountFrequency (%)
r 1
50.0%
v 1
50.0%
Space Separator
ValueCountFrequency (%)
60
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 699
85.1%
Common 101
 
12.3%
Latin 21
 
2.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
89
 
12.7%
89
 
12.7%
44
 
6.3%
35
 
5.0%
34
 
4.9%
33
 
4.7%
33
 
4.7%
28
 
4.0%
20
 
2.9%
19
 
2.7%
Other values (69) 275
39.3%
Common
ValueCountFrequency (%)
60
59.4%
, 20
 
19.8%
) 7
 
6.9%
( 7
 
6.9%
/ 3
 
3.0%
8 1
 
1.0%
1 1
 
1.0%
+ 1
 
1.0%
· 1
 
1.0%
Latin
ValueCountFrequency (%)
P 6
28.6%
C 6
28.6%
V 2
 
9.5%
R 2
 
9.5%
r 1
 
4.8%
v 1
 
4.8%
W 1
 
4.8%
E 1
 
4.8%
B 1
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 699
85.1%
ASCII 121
 
14.7%
None 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
89
 
12.7%
89
 
12.7%
44
 
6.3%
35
 
5.0%
34
 
4.9%
33
 
4.7%
33
 
4.7%
28
 
4.0%
20
 
2.9%
19
 
2.7%
Other values (69) 275
39.3%
ASCII
ValueCountFrequency (%)
60
49.6%
, 20
 
16.5%
) 7
 
5.8%
( 7
 
5.8%
P 6
 
5.0%
C 6
 
5.0%
/ 3
 
2.5%
V 2
 
1.7%
R 2
 
1.7%
8 1
 
0.8%
Other values (7) 7
 
5.8%
None
ValueCountFrequency (%)
· 1
100.0%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct88
Distinct (%)91.7%
Missing9
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean116.2276
Minimum0
Maximum1650
Zeros3
Zeros (%)2.9%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-17T07:45:05.686973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.875
Q132.985
median58.525
Q3103.0725
95-th percentile307.23
Maximum1650
Range1650
Interquartile range (IQR)70.0875

Descriptive statistics

Standard deviation228.83191
Coefficient of variation (CV)1.9688258
Kurtosis28.482356
Mean116.2276
Median Absolute Deviation (MAD)31.175
Skewness5.1097668
Sum11157.85
Variance52364.043
MonotonicityNot monotonic
2024-04-17T07:45:05.801160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 3
 
2.9%
36.0 3
 
2.9%
66.0 2
 
1.9%
198.0 2
 
1.9%
199.69 2
 
1.9%
33.0 2
 
1.9%
3.5 1
 
1.0%
52.0 1
 
1.0%
45.53 1
 
1.0%
124.64 1
 
1.0%
Other values (78) 78
74.3%
(Missing) 9
 
8.6%
ValueCountFrequency (%)
0.0 3
2.9%
3.5 1
 
1.0%
4.0 1
 
1.0%
6.5 1
 
1.0%
6.82 1
 
1.0%
8.5 1
 
1.0%
9.81 1
 
1.0%
10.0 1
 
1.0%
15.0 1
 
1.0%
15.25 1
 
1.0%
ValueCountFrequency (%)
1650.0 1
1.0%
1239.15 1
1.0%
991.85 1
1.0%
365.76 1
1.0%
330.0 1
1.0%
299.64 1
1.0%
199.69 2
1.9%
198.0 2
1.9%
195.81 1
1.0%
195.51 1
1.0%

지상층수
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)27.5%
Missing65
Missing (%)61.9%
Infinite0
Infinite (%)0.0%
Mean4.625
Minimum1
Maximum32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-17T07:45:05.917291image/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
2024-04-17T07:45:05.998734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1 13
 
12.4%
4 6
 
5.7%
3 5
 
4.8%
2 4
 
3.8%
5 4
 
3.8%
8 2
 
1.9%
9 2
 
1.9%
32 1
 
1.0%
7 1
 
1.0%
18 1
 
1.0%
(Missing) 65
61.9%
ValueCountFrequency (%)
1 13
12.4%
2 4
 
3.8%
3 5
 
4.8%
4 6
5.7%
5 4
 
3.8%
7 1
 
1.0%
8 2
 
1.9%
9 2
 
1.9%
14 1
 
1.0%
18 1
 
1.0%
ValueCountFrequency (%)
32 1
 
1.0%
18 1
 
1.0%
14 1
 
1.0%
9 2
 
1.9%
8 2
 
1.9%
7 1
 
1.0%
5 4
3.8%
4 6
5.7%
3 5
4.8%
2 4
3.8%

지하층수
Categorical

IMBALANCE 

Distinct5
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size972.0 B
<NA>
96 
1
 
6
5
 
1
2
 
1
3
 
1

Length

Max length4
Median length4
Mean length3.7428571
Min length1

Unique

Unique3 ?
Unique (%)2.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 96
91.4%
1 6
 
5.7%
5 1
 
1.0%
2 1
 
1.0%
3 1
 
1.0%

Length

2024-04-17T07:45:06.104249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T07:45:06.187514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 96
91.4%
1 6
 
5.7%
5 1
 
1.0%
2 1
 
1.0%
3 1
 
1.0%

건물용도명
Categorical

IMBALANCE 

Distinct6
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size972.0 B
<NA>
84 
근린생활시설
12 
사무실
 
4
단독주택
 
2
기타
 
2

Length

Max length6
Median length4
Mean length4.1428571
Min length2

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 84
80.0%
근린생활시설 12
 
11.4%
사무실 4
 
3.8%
단독주택 2
 
1.9%
기타 2
 
1.9%
아파트 1
 
1.0%

Length

2024-04-17T07:45:06.277537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T07:45:06.368725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 84
80.0%
근린생활시설 12
 
11.4%
사무실 4
 
3.8%
단독주택 2
 
1.9%
기타 2
 
1.9%
아파트 1
 
1.0%

통로너비
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing105
Missing (%)100.0%
Memory size1.1 KiB

조명시설조도
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing105
Missing (%)100.0%
Memory size1.1 KiB

노래방실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing105
Missing (%)100.0%
Memory size1.1 KiB

청소년실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing105
Missing (%)100.0%
Memory size1.1 KiB

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing105
Missing (%)100.0%
Memory size1.1 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing105
Missing (%)100.0%
Memory size1.1 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing105
Missing (%)100.0%
Memory size1.1 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing105
Missing (%)100.0%
Memory size1.1 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing105
Missing (%)100.0%
Memory size1.1 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing105
Missing (%)100.0%
Memory size1.1 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing105
Missing (%)100.0%
Memory size1.1 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing105
Missing (%)100.0%
Memory size1.1 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing105
Missing (%)100.0%
Memory size1.1 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing105
Missing (%)100.0%
Memory size1.1 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing105
Missing (%)100.0%
Memory size1.1 KiB

총게임기수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing105
Missing (%)100.0%
Memory size1.1 KiB

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing105
Missing (%)100.0%
Memory size1.1 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing105
Missing (%)100.0%
Memory size1.1 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing105
Missing (%)100.0%
Memory size1.1 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing105
Missing (%)100.0%
Memory size1.1 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing105
Missing (%)100.0%
Memory size1.1 KiB

지역구분명
Categorical

IMBALANCE 

Distinct6
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size972.0 B
<NA>
92 
일반주거지역
 
5
일반상업지역
 
4
자연녹지지역
 
2
준주거지역
 
1

Length

Max length6
Median length4
Mean length4.2285714
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> 92
87.6%
일반주거지역 5
 
4.8%
일반상업지역 4
 
3.8%
자연녹지지역 2
 
1.9%
준주거지역 1
 
1.0%
준공업지역 1
 
1.0%

Length

2024-04-17T07:45:06.470276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T07:45:06.562307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 92
87.6%
일반주거지역 5
 
4.8%
일반상업지역 4
 
3.8%
자연녹지지역 2
 
1.9%
준주거지역 1
 
1.0%
준공업지역 1
 
1.0%

Unnamed: 59
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing105
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_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>
23게임물배급업03_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>
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
9596게임물배급업03_05_01_P3290000CDFF224112200500000220050124<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>614836부산광역시 부산진구 부암동 666-4번지<NA><NA>익성전자20080128110415I2018-08-31 23:59:59.0<NA>386905.154879186801.157495게임물배급업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9697게임물배급업03_05_01_P3290000CDFF224112200500000120050112<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>614731부산광역시 부산진구 부전동 474-80번지 유원오피스텔 1204호부산광역시 부산진구 서면문화로 27, 1204호 (부전동,유원오피스텔)<NA>남경상사20080128110059I2018-08-31 23:59:59.0<NA>387225.613588186408.726534게임물배급업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9798게임물배급업03_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>
9899게임물배급업03_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>
99100게임물배급업03_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>
100101게임물배급업03_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>
101102게임물배급업03_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>
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_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>
104105게임물배급업03_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>