Overview

Dataset statistics

Number of variables60
Number of observations135
Missing cells4032
Missing cells (%)49.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory68.8 KiB
Average record size in memory521.9 B

Variable types

Numeric15
Categorical16
Unsupported23
Text5
DateTime1

Dataset

Description2021-06-01
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20230901050101123035

Alerts

개방서비스명 has constant value ""Constant
개방서비스id has constant value ""Constant
문화체육업종명 has constant value ""Constant
문화사업자구분명 has constant value ""Constant
주변환경명 is highly imbalanced (67.1%)Imbalance
지하층수 is highly imbalanced (51.8%)Imbalance
제공게임물명 is highly imbalanced (51.2%)Imbalance
지역구분명 is highly imbalanced (53.5%)Imbalance
인허가취소일자 has 125 (92.6%) missing valuesMissing
폐업일자 has 70 (51.9%) missing valuesMissing
휴업시작일자 has 135 (100.0%) missing valuesMissing
휴업종료일자 has 135 (100.0%) missing valuesMissing
재개업일자 has 135 (100.0%) missing valuesMissing
소재지전화 has 112 (83.0%) missing valuesMissing
소재지면적 has 135 (100.0%) missing valuesMissing
소재지우편번호 has 126 (93.3%) missing valuesMissing
도로명전체주소 has 5 (3.7%) missing valuesMissing
도로명우편번호 has 33 (24.4%) missing valuesMissing
업태구분명 has 135 (100.0%) missing valuesMissing
좌표정보(x) has 4 (3.0%) missing valuesMissing
좌표정보(y) has 4 (3.0%) missing valuesMissing
총층수 has 69 (51.1%) missing valuesMissing
시설면적 has 5 (3.7%) missing valuesMissing
지상층수 has 51 (37.8%) missing valuesMissing
통로너비 has 135 (100.0%) missing valuesMissing
조명시설조도 has 120 (88.9%) missing valuesMissing
노래방실수 has 135 (100.0%) missing valuesMissing
청소년실수 has 135 (100.0%) missing valuesMissing
비상계단여부 has 135 (100.0%) missing valuesMissing
비상구여부 has 135 (100.0%) missing valuesMissing
자동환기여부 has 135 (100.0%) missing valuesMissing
청소년실여부 has 135 (100.0%) missing valuesMissing
특수조명여부 has 135 (100.0%) missing valuesMissing
방음시설여부 has 135 (100.0%) missing valuesMissing
비디오재생기명 has 135 (100.0%) missing valuesMissing
조명시설유무 has 135 (100.0%) missing valuesMissing
음향시설여부 has 135 (100.0%) missing valuesMissing
편의시설여부 has 135 (100.0%) missing valuesMissing
소방시설여부 has 135 (100.0%) missing valuesMissing
총게임기수 has 94 (69.6%) missing valuesMissing
기존게임업외업종명 has 108 (80.0%) missing valuesMissing
공연장형태구분명 has 135 (100.0%) missing valuesMissing
품목명 has 135 (100.0%) missing valuesMissing
최초등록시점 has 135 (100.0%) missing valuesMissing
Unnamed: 59 has 135 (100.0%) missing valuesMissing
번호 has unique valuesUnique
최종수정시점 has unique valuesUnique
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
통로너비 is an unsupported type, check if it needs cleaning or further analysisUnsupported
노래방실수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상계단여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상구여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자동환기여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
특수조명여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방음시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비디오재생기명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
음향시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
편의시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소방시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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

Reproduction

Analysis started2024-04-21 11:07:16.706701
Analysis finished2024-04-21 11:07:17.938538
Duration1.23 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct135
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean68
Minimum1
Maximum135
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-21T20:07:18.139065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.7
Q134.5
median68
Q3101.5
95-th percentile128.3
Maximum135
Range134
Interquartile range (IQR)67

Descriptive statistics

Standard deviation39.115214
Coefficient of variation (CV)0.57522374
Kurtosis-1.2
Mean68
Median Absolute Deviation (MAD)34
Skewness0
Sum9180
Variance1530
MonotonicityStrictly increasing
2024-04-21T20:07:18.599154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.7%
94 1
 
0.7%
88 1
 
0.7%
89 1
 
0.7%
90 1
 
0.7%
91 1
 
0.7%
92 1
 
0.7%
93 1
 
0.7%
95 1
 
0.7%
2 1
 
0.7%
Other values (125) 125
92.6%
ValueCountFrequency (%)
1 1
0.7%
2 1
0.7%
3 1
0.7%
4 1
0.7%
5 1
0.7%
6 1
0.7%
7 1
0.7%
8 1
0.7%
9 1
0.7%
10 1
0.7%
ValueCountFrequency (%)
135 1
0.7%
134 1
0.7%
133 1
0.7%
132 1
0.7%
131 1
0.7%
130 1
0.7%
129 1
0.7%
128 1
0.7%
127 1
0.7%
126 1
0.7%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
복합유통게임제공업
135 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
복합유통게임제공업 135
100.0%

Length

2024-04-21T20:07:19.030222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T20:07:19.334566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
복합유통게임제공업 135
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
03_05_04_P
135 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row03_05_04_P
2nd row03_05_04_P
3rd row03_05_04_P
4th row03_05_04_P
5th row03_05_04_P

Common Values

ValueCountFrequency (%)
03_05_04_P 135
100.0%

Length

2024-04-21T20:07:19.661412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T20:07:19.966333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_05_04_p 135
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)11.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3324296.3
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-21T20:07:20.254168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3250000
5-th percentile3250000
Q13290000
median3320000
Q33350000
95-th percentile3400000
Maximum3400000
Range150000
Interquartile range (IQR)60000

Descriptive statistics

Standard deviation41708.669
Coefficient of variation (CV)0.012546616
Kurtosis-0.68913657
Mean3324296.3
Median Absolute Deviation (MAD)30000
Skewness0.15292324
Sum4.4878 × 108
Variance1.739613 × 109
MonotonicityNot monotonic
2024-04-21T20:07:20.633891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3290000 21
15.6%
3340000 15
11.1%
3310000 13
9.6%
3350000 13
9.6%
3300000 12
8.9%
3330000 12
8.9%
3400000 10
7.4%
3250000 10
7.4%
3380000 6
 
4.4%
3390000 6
 
4.4%
Other values (6) 17
12.6%
ValueCountFrequency (%)
3250000 10
7.4%
3260000 2
 
1.5%
3270000 2
 
1.5%
3280000 3
 
2.2%
3290000 21
15.6%
3300000 12
8.9%
3310000 13
9.6%
3320000 5
 
3.7%
3330000 12
8.9%
3340000 15
11.1%
ValueCountFrequency (%)
3400000 10
7.4%
3390000 6
 
4.4%
3380000 6
 
4.4%
3370000 3
 
2.2%
3360000 2
 
1.5%
3350000 13
9.6%
3340000 15
11.1%
3330000 12
8.9%
3320000 5
 
3.7%
3310000 13
9.6%

관리번호
Categorical

Distinct49
Distinct (%)36.3%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
CDFF2241032013000001
 
8
CDFF2241032017000001
 
8
CDFF2241032009000001
 
7
CDFF2241032019000001
 
6
CDFF2241032018000001
 
6
Other values (44)
100 

Length

Max length20
Median length20
Mean length20
Min length20

Unique

Unique14 ?
Unique (%)10.4%

Sample

1st rowCDFF2241032009000001
2nd rowCDFF2241032015000002
3rd rowCDFF2241032014000002
4th rowCDFF2241032014000001
5th rowCDFF2241032012000001

Common Values

ValueCountFrequency (%)
CDFF2241032013000001 8
 
5.9%
CDFF2241032017000001 8
 
5.9%
CDFF2241032009000001 7
 
5.2%
CDFF2241032019000001 6
 
4.4%
CDFF2241032018000001 6
 
4.4%
CDFF2241032008000001 6
 
4.4%
CDFF2241032020000001 5
 
3.7%
CDFF2241032011000001 5
 
3.7%
CDFF2241032010000001 5
 
3.7%
CDFF2241032019000002 4
 
3.0%
Other values (39) 75
55.6%

Length

2024-04-21T20:07:21.234075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
cdff2241032013000001 8
 
5.9%
cdff2241032017000001 8
 
5.9%
cdff2241032009000001 7
 
5.2%
cdff2241032019000001 6
 
4.4%
cdff2241032018000001 6
 
4.4%
cdff2241032008000001 6
 
4.4%
cdff2241032020000001 5
 
3.7%
cdff2241032011000001 5
 
3.7%
cdff2241032010000001 5
 
3.7%
cdff2241032019000002 4
 
3.0%
Other values (39) 75
55.6%

인허가일자
Real number (ℝ)

Distinct129
Distinct (%)95.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20134389
Minimum20020111
Maximum20200928
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-21T20:07:21.615060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20020111
5-th percentile20040262
Q120091122
median20131226
Q320180522
95-th percentile20193818
Maximum20200928
Range180817
Interquartile range (IQR)89401

Descriptive statistics

Standard deviation50807.61
Coefficient of variation (CV)0.0025234246
Kurtosis-0.80641347
Mean20134389
Median Absolute Deviation (MAD)40707
Skewness-0.48816225
Sum2.7181425 × 109
Variance2.5814133 × 109
MonotonicityNot monotonic
2024-04-21T20:07:22.065807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20171229 3
 
2.2%
20090113 2
 
1.5%
20021204 2
 
1.5%
20020111 2
 
1.5%
20190419 2
 
1.5%
20110513 1
 
0.7%
20190221 1
 
0.7%
20181204 1
 
0.7%
20090714 1
 
0.7%
20100209 1
 
0.7%
Other values (119) 119
88.1%
ValueCountFrequency (%)
20020111 2
1.5%
20021204 2
1.5%
20030708 1
0.7%
20031209 1
0.7%
20040129 1
0.7%
20040319 1
0.7%
20040501 1
0.7%
20040709 1
0.7%
20050223 1
0.7%
20050520 1
0.7%
ValueCountFrequency (%)
20200928 1
0.7%
20200828 1
0.7%
20200824 1
0.7%
20200723 1
0.7%
20200224 1
0.7%
20200129 1
0.7%
20200110 1
0.7%
20191122 1
0.7%
20191023 1
0.7%
20190926 1
0.7%

인허가취소일자
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)100.0%
Missing125
Missing (%)92.6%
Infinite0
Infinite (%)0.0%
Mean20127679
Minimum20090921
Maximum20160928
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-21T20:07:22.448165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20090921
5-th percentile20095196
Q120100911
median20120718
Q320160392
95-th percentile20160744
Maximum20160928
Range70007
Interquartile range (IQR)59480.75

Descriptive statistics

Standard deviation31114.084
Coefficient of variation (CV)0.0015458356
Kurtosis-2.3374728
Mean20127679
Median Absolute Deviation (MAD)25047
Skewness0.078698398
Sum2.0127679 × 108
Variance9.680862 × 108
MonotonicityNot monotonic
2024-04-21T20:07:22.817969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
20101125 1
 
0.7%
20160928 1
 
0.7%
20160519 1
 
0.7%
20160415 1
 
0.7%
20140310 1
 
0.7%
20160323 1
 
0.7%
20100420 1
 
0.7%
20100908 1
 
0.7%
20100921 1
 
0.7%
20090921 1
 
0.7%
(Missing) 125
92.6%
ValueCountFrequency (%)
20090921 1
0.7%
20100420 1
0.7%
20100908 1
0.7%
20100921 1
0.7%
20101125 1
0.7%
20140310 1
0.7%
20160323 1
0.7%
20160415 1
0.7%
20160519 1
0.7%
20160928 1
0.7%
ValueCountFrequency (%)
20160928 1
0.7%
20160519 1
0.7%
20160415 1
0.7%
20160323 1
0.7%
20140310 1
0.7%
20101125 1
0.7%
20100921 1
0.7%
20100908 1
0.7%
20100420 1
0.7%
20090921 1
0.7%

영업상태구분코드
Categorical

Distinct3
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
1
60 
3
59 
4
16 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 60
44.4%
3 59
43.7%
4 16
 
11.9%

Length

2024-04-21T20:07:23.223924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T20:07:23.542090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 60
44.4%
3 59
43.7%
4 16
 
11.9%

영업상태명
Categorical

Distinct3
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
영업/정상
60 
폐업
59 
취소/말소/만료/정지/중지
16 

Length

Max length14
Median length5
Mean length4.7555556
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 60
44.4%
폐업 59
43.7%
취소/말소/만료/정지/중지 16
 
11.9%

Length

2024-04-21T20:07:23.919499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T20:07:24.226547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 60
44.4%
폐업 59
43.7%
취소/말소/만료/정지/중지 16
 
11.9%

상세영업상태코드
Categorical

Distinct4
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
13
60 
3
59 
31
10 
35
 
6

Length

Max length2
Median length2
Mean length1.562963
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row31
2nd row31
3rd row31
4th row31
5th row31

Common Values

ValueCountFrequency (%)
13 60
44.4%
3 59
43.7%
31 10
 
7.4%
35 6
 
4.4%

Length

2024-04-21T20:07:24.425024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T20:07:24.612995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 60
44.4%
3 59
43.7%
31 10
 
7.4%
35 6
 
4.4%

상세영업상태명
Categorical

Distinct4
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
영업중
60 
폐업
59 
등록취소
10 
직권말소
 
6

Length

Max length4
Median length3
Mean length2.6814815
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 60
44.4%
폐업 59
43.7%
등록취소 10
 
7.4%
직권말소 6
 
4.4%

Length

2024-04-21T20:07:24.822362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T20:07:25.024078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 60
44.4%
폐업 59
43.7%
등록취소 10
 
7.4%
직권말소 6
 
4.4%

폐업일자
Real number (ℝ)

MISSING 

Distinct63
Distinct (%)96.9%
Missing70
Missing (%)51.9%
Infinite0
Infinite (%)0.0%
Mean20141840
Minimum20050304
Maximum20210413
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-21T20:07:25.332337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20050304
5-th percentile20062681
Q120110923
median20140526
Q320180406
95-th percentile20200750
Maximum20210413
Range160109
Interquartile range (IQR)69483

Descriptive statistics

Standard deviation43439.638
Coefficient of variation (CV)0.0021566867
Kurtosis-0.7734196
Mean20141840
Median Absolute Deviation (MAD)30303
Skewness-0.33956376
Sum1.3092196 × 109
Variance1.8870021 × 109
MonotonicityNot monotonic
2024-04-21T20:07:25.690108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20140321 2
 
1.5%
20150428 2
 
1.5%
20180406 1
 
0.7%
20190729 1
 
0.7%
20161025 1
 
0.7%
20101007 1
 
0.7%
20130329 1
 
0.7%
20130327 1
 
0.7%
20060724 1
 
0.7%
20200303 1
 
0.7%
Other values (53) 53
39.3%
(Missing) 70
51.9%
ValueCountFrequency (%)
20050304 1
0.7%
20050602 1
0.7%
20060706 1
0.7%
20060724 1
0.7%
20070508 1
0.7%
20080422 1
0.7%
20080714 1
0.7%
20080820 1
0.7%
20081230 1
0.7%
20090317 1
0.7%
ValueCountFrequency (%)
20210413 1
0.7%
20210326 1
0.7%
20210208 1
0.7%
20200810 1
0.7%
20200511 1
0.7%
20200303 1
0.7%
20191127 1
0.7%
20191025 1
0.7%
20190729 1
0.7%
20190614 1
0.7%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing135
Missing (%)100.0%
Memory size1.3 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing135
Missing (%)100.0%
Memory size1.3 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing135
Missing (%)100.0%
Memory size1.3 KiB

소재지전화
Text

MISSING 

Distinct23
Distinct (%)100.0%
Missing112
Missing (%)83.0%
Memory size1.2 KiB
2024-04-21T20:07:26.328255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length8
Mean length9.1304348
Min length8

Characters and Unicode

Total characters210
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

Unique23 ?
Unique (%)100.0%

Sample

1st row816-0772
2nd row782-6419
3rd row051-362-6293
4th row293-2654
5th row264-4640
ValueCountFrequency (%)
816-0772 1
 
4.3%
853-8818 1
 
4.3%
622-6677 1
 
4.3%
051-626-1178 1
 
4.3%
051-254-7373 1
 
4.3%
516-3737 1
 
4.3%
514-5582 1
 
4.3%
0517314410 1
 
4.3%
231-2929 1
 
4.3%
815-5050 1
 
4.3%
Other values (13) 13
56.5%
2024-04-21T20:07:27.202121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 28
13.3%
2 26
12.4%
5 26
12.4%
6 23
11.0%
1 22
10.5%
0 18
8.6%
8 17
8.1%
7 15
7.1%
4 15
7.1%
3 13
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 182
86.7%
Dash Punctuation 28
 
13.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 26
14.3%
5 26
14.3%
6 23
12.6%
1 22
12.1%
0 18
9.9%
8 17
9.3%
7 15
8.2%
4 15
8.2%
3 13
7.1%
9 7
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 210
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 28
13.3%
2 26
12.4%
5 26
12.4%
6 23
11.0%
1 22
10.5%
0 18
8.6%
8 17
8.1%
7 15
7.1%
4 15
7.1%
3 13
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 210
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 28
13.3%
2 26
12.4%
5 26
12.4%
6 23
11.0%
1 22
10.5%
0 18
8.6%
8 17
8.1%
7 15
7.1%
4 15
7.1%
3 13
6.2%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing135
Missing (%)100.0%
Memory size1.3 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)100.0%
Missing126
Missing (%)93.3%
Infinite0
Infinite (%)0.0%
Mean607286.44
Minimum600046
Maximum616852
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-21T20:07:27.396220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum600046
5-th percentile600431.6
Q1602011
median604080
Q3612842
95-th percentile616050
Maximum616852
Range16806
Interquartile range (IQR)10831

Descriptive statistics

Standard deviation6389.1183
Coefficient of variation (CV)0.010520766
Kurtosis-1.6897454
Mean607286.44
Median Absolute Deviation (MAD)4034
Skewness0.40356676
Sum5465578
Variance40820833
MonotonicityNot monotonic
2024-04-21T20:07:27.584160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
612842 1
 
0.7%
616852 1
 
0.7%
604080 1
 
0.7%
604040 1
 
0.7%
609850 1
 
0.7%
601010 1
 
0.7%
602011 1
 
0.7%
614847 1
 
0.7%
600046 1
 
0.7%
(Missing) 126
93.3%
ValueCountFrequency (%)
600046 1
0.7%
601010 1
0.7%
602011 1
0.7%
604040 1
0.7%
604080 1
0.7%
609850 1
0.7%
612842 1
0.7%
614847 1
0.7%
616852 1
0.7%
ValueCountFrequency (%)
616852 1
0.7%
614847 1
0.7%
612842 1
0.7%
609850 1
0.7%
604080 1
0.7%
604040 1
0.7%
602011 1
0.7%
601010 1
0.7%
600046 1
0.7%

소재지전체주소
Text

Distinct129
Distinct (%)96.3%
Missing1
Missing (%)0.7%
Memory size1.2 KiB
2024-04-21T20:07:28.590434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length36
Mean length23.925373
Min length17

Characters and Unicode

Total characters3206
Distinct characters148
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique124 ?
Unique (%)92.5%

Sample

1st row부산광역시 사하구 당리동 303-11번지
2nd row부산광역시 사하구 장림동 325-3번지 2층
3rd row부산광역시 사하구 하단동 514-6번지
4th row부산광역시 사하구 하단동 511-11번지
5th row부산광역시 사하구 당리동 324-25번지
ValueCountFrequency (%)
부산광역시 134
 
21.9%
부산진구 21
 
3.4%
사하구 15
 
2.5%
부전동 14
 
2.3%
남구 13
 
2.1%
금정구 13
 
2.1%
해운대구 12
 
2.0%
동래구 12
 
2.0%
대연동 11
 
1.8%
중구 10
 
1.6%
Other values (237) 356
58.3%
2024-04-21T20:07:29.818485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
477
 
14.9%
부 171
 
5.3%
산 160
 
5.0%
동 142
 
4.4%
광 137
 
4.3%
1 137
 
4.3%
시 136
 
4.2%
역 134
 
4.2%
지 133
 
4.1%
- 130
 
4.1%
Other values (138) 1449
45.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1923
60.0%
Decimal Number 653
 
20.4%
Space Separator 477
 
14.9%
Dash Punctuation 130
 
4.1%
Close Punctuation 7
 
0.2%
Open Punctuation 7
 
0.2%
Uppercase Letter 4
 
0.1%
Other Punctuation 3
 
0.1%
Letter Number 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 171
 
8.9%
산 160
 
8.3%
동 142
 
7.4%
광 137
 
7.1%
시 136
 
7.1%
역 134
 
7.0%
지 133
 
6.9%
구 125
 
6.5%
번 121
 
6.3%
층 30
 
1.6%
Other values (118) 634
33.0%
Decimal Number
ValueCountFrequency (%)
1 137
21.0%
2 95
14.5%
3 78
11.9%
5 73
11.2%
4 71
10.9%
6 45
 
6.9%
0 44
 
6.7%
7 44
 
6.7%
8 36
 
5.5%
9 30
 
4.6%
Uppercase Letter
ValueCountFrequency (%)
B 2
50.0%
X 1
25.0%
Y 1
25.0%
Space Separator
ValueCountFrequency (%)
477
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 130
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1923
60.0%
Common 1278
39.9%
Latin 5
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 171
 
8.9%
산 160
 
8.3%
동 142
 
7.4%
광 137
 
7.1%
시 136
 
7.1%
역 134
 
7.0%
지 133
 
6.9%
구 125
 
6.5%
번 121
 
6.3%
층 30
 
1.6%
Other values (118) 634
33.0%
Common
ValueCountFrequency (%)
477
37.3%
1 137
 
10.7%
- 130
 
10.2%
2 95
 
7.4%
3 78
 
6.1%
5 73
 
5.7%
4 71
 
5.6%
6 45
 
3.5%
0 44
 
3.4%
7 44
 
3.4%
Other values (6) 84
 
6.6%
Latin
ValueCountFrequency (%)
B 2
40.0%
Ⅱ 1
20.0%
X 1
20.0%
Y 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1923
60.0%
ASCII 1282
40.0%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
477
37.2%
1 137
 
10.7%
- 130
 
10.1%
2 95
 
7.4%
3 78
 
6.1%
5 73
 
5.7%
4 71
 
5.5%
6 45
 
3.5%
0 44
 
3.4%
7 44
 
3.4%
Other values (9) 88
 
6.9%
Hangul
ValueCountFrequency (%)
부 171
 
8.9%
산 160
 
8.3%
동 142
 
7.4%
광 137
 
7.1%
시 136
 
7.1%
역 134
 
7.0%
지 133
 
6.9%
구 125
 
6.5%
번 121
 
6.3%
층 30
 
1.6%
Other values (118) 634
33.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

도로명전체주소
Text

MISSING 

Distinct128
Distinct (%)98.5%
Missing5
Missing (%)3.7%
Memory size1.2 KiB
2024-04-21T20:07:30.852442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length41
Mean length29.138462
Min length20

Characters and Unicode

Total characters3788
Distinct characters183
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique126 ?
Unique (%)96.9%

Sample

1st row부산광역시 사하구 낙동대로 458 (당리동)
2nd row부산광역시 사하구 장림번영로 29 (장림동)
3rd row부산광역시 사하구 낙동남로1405번길 17 (하단동)
4th row부산광역시 사하구 낙동대로485번길 4 (하단동)
5th row부산광역시 사하구 괴정로 109 (당리동)
ValueCountFrequency (%)
부산광역시 130
 
17.2%
2층 22
 
2.9%
부산진구 21
 
2.8%
금정구 13
 
1.7%
남구 13
 
1.7%
사하구 13
 
1.7%
해운대구 12
 
1.6%
동래구 12
 
1.6%
대연동 11
 
1.5%
기장군 10
 
1.3%
Other values (290) 497
65.9%
2024-04-21T20:07:32.131341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
643
 
17.0%
부 171
 
4.5%
산 161
 
4.3%
동 152
 
4.0%
광 142
 
3.7%
시 137
 
3.6%
역 130
 
3.4%
로 129
 
3.4%
구 128
 
3.4%
( 123
 
3.2%
Other values (173) 1872
49.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2250
59.4%
Space Separator 643
 
17.0%
Decimal Number 536
 
14.1%
Open Punctuation 123
 
3.2%
Close Punctuation 123
 
3.2%
Other Punctuation 95
 
2.5%
Dash Punctuation 11
 
0.3%
Uppercase Letter 5
 
0.1%
Letter Number 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 171
 
7.6%
산 161
 
7.2%
동 152
 
6.8%
광 142
 
6.3%
시 137
 
6.1%
역 130
 
5.8%
로 129
 
5.7%
구 128
 
5.7%
층 73
 
3.2%
대 59
 
2.6%
Other values (152) 968
43.0%
Decimal Number
ValueCountFrequency (%)
1 110
20.5%
2 86
16.0%
3 57
10.6%
4 51
9.5%
0 49
9.1%
5 45
8.4%
6 40
 
7.5%
8 34
 
6.3%
9 33
 
6.2%
7 31
 
5.8%
Uppercase Letter
ValueCountFrequency (%)
B 2
40.0%
A 1
20.0%
X 1
20.0%
Y 1
20.0%
Space Separator
ValueCountFrequency (%)
643
100.0%
Open Punctuation
ValueCountFrequency (%)
( 123
100.0%
Close Punctuation
ValueCountFrequency (%)
) 123
100.0%
Other Punctuation
ValueCountFrequency (%)
, 95
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2250
59.4%
Common 1532
40.4%
Latin 6
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 171
 
7.6%
산 161
 
7.2%
동 152
 
6.8%
광 142
 
6.3%
시 137
 
6.1%
역 130
 
5.8%
로 129
 
5.7%
구 128
 
5.7%
층 73
 
3.2%
대 59
 
2.6%
Other values (152) 968
43.0%
Common
ValueCountFrequency (%)
643
42.0%
( 123
 
8.0%
) 123
 
8.0%
1 110
 
7.2%
, 95
 
6.2%
2 86
 
5.6%
3 57
 
3.7%
4 51
 
3.3%
0 49
 
3.2%
5 45
 
2.9%
Other values (6) 150
 
9.8%
Latin
ValueCountFrequency (%)
B 2
33.3%
A 1
16.7%
Ⅱ 1
16.7%
X 1
16.7%
Y 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2250
59.4%
ASCII 1537
40.6%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
643
41.8%
( 123
 
8.0%
) 123
 
8.0%
1 110
 
7.2%
, 95
 
6.2%
2 86
 
5.6%
3 57
 
3.7%
4 51
 
3.3%
0 49
 
3.2%
5 45
 
2.9%
Other values (10) 155
 
10.1%
Hangul
ValueCountFrequency (%)
부 171
 
7.6%
산 161
 
7.2%
동 152
 
6.8%
광 142
 
6.3%
시 137
 
6.1%
역 130
 
5.8%
로 129
 
5.7%
구 128
 
5.7%
층 73
 
3.2%
대 59
 
2.6%
Other values (152) 968
43.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct70
Distinct (%)68.6%
Missing33
Missing (%)24.4%
Infinite0
Infinite (%)0.0%
Mean141400.95
Minimum46008
Maximum617807
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-21T20:07:32.522757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46008
5-th percentile46048.4
Q147213
median48069
Q349220.25
95-th percentile612821
Maximum617807
Range571799
Interquartile range (IQR)2007.25

Descriptive statistics

Standard deviation210577.97
Coefficient of variation (CV)1.489226
Kurtosis1.3241384
Mean141400.95
Median Absolute Deviation (MAD)985.5
Skewness1.8159563
Sum14422897
Variance4.4343083 × 1010
MonotonicityNot monotonic
2024-04-21T20:07:32.931205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
608020 4
 
3.0%
48498 3
 
2.2%
48981 3
 
2.2%
47866 3
 
2.2%
47837 3
 
2.2%
47295 3
 
2.2%
48953 3
 
2.2%
612821 2
 
1.5%
49326 2
 
1.5%
46061 2
 
1.5%
Other values (60) 74
54.8%
(Missing) 33
24.4%
ValueCountFrequency (%)
46008 1
0.7%
46015 1
0.7%
46019 1
0.7%
46023 2
1.5%
46048 1
0.7%
46056 1
0.7%
46061 2
1.5%
46067 1
0.7%
46220 1
0.7%
46288 2
1.5%
ValueCountFrequency (%)
617807 2
1.5%
616852 1
 
0.7%
614847 1
 
0.7%
613011 1
 
0.7%
612821 2
1.5%
608090 1
 
0.7%
608040 1
 
0.7%
608020 4
3.0%
604852 1
 
0.7%
604851 1
 
0.7%

사업장명
Text

Distinct133
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-04-21T20:07:33.931917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length13
Mean length8.0074074
Min length2

Characters and Unicode

Total characters1081
Distinct characters225
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique131 ?
Unique (%)97.0%

Sample

1st row명성게임랜드
2nd row장림게임랜드
3rd rowLA게임랜드
4th row에이스게임랜드
5th row오복게임랜드
ValueCountFrequency (%)
pc 10
 
4.7%
pc방 7
 
3.3%
게임랜드 5
 
2.3%
아이센스리그pc방 4
 
1.9%
cafe 3
 
1.4%
멀티방 3
 
1.4%
안락점 3
 
1.4%
부산정관점 2
 
0.9%
아케이드코리아 2
 
0.9%
펏스원 2
 
0.9%
Other values (163) 173
80.8%
2024-04-21T20:07:35.376912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
79
 
7.3%
C 57
 
5.3%
P 57
 
5.3%
점 33
 
3.1%
이 32
 
3.0%
드 31
 
2.9%
스 29
 
2.7%
방 29
 
2.7%
임 28
 
2.6%
게 27
 
2.5%
Other values (215) 679
62.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 762
70.5%
Uppercase Letter 184
 
17.0%
Space Separator 79
 
7.3%
Lowercase Letter 22
 
2.0%
Decimal Number 20
 
1.9%
Other Punctuation 6
 
0.6%
Open Punctuation 4
 
0.4%
Close Punctuation 4
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 33
 
4.3%
이 32
 
4.2%
드 31
 
4.1%
스 29
 
3.8%
방 29
 
3.8%
임 28
 
3.7%
게 27
 
3.5%
랜 26
 
3.4%
아 21
 
2.8%
티 18
 
2.4%
Other values (167) 488
64.0%
Uppercase Letter
ValueCountFrequency (%)
C 57
31.0%
P 57
31.0%
O 9
 
4.9%
A 8
 
4.3%
E 6
 
3.3%
T 5
 
2.7%
L 5
 
2.7%
V 4
 
2.2%
S 4
 
2.2%
N 4
 
2.2%
Other values (12) 25
13.6%
Lowercase Letter
ValueCountFrequency (%)
e 4
18.2%
a 4
18.2%
n 3
13.6%
t 2
9.1%
c 2
9.1%
i 1
 
4.5%
u 1
 
4.5%
s 1
 
4.5%
g 1
 
4.5%
f 1
 
4.5%
Other values (2) 2
9.1%
Decimal Number
ValueCountFrequency (%)
2 6
30.0%
0 4
20.0%
1 3
15.0%
9 2
 
10.0%
3 2
 
10.0%
6 2
 
10.0%
7 1
 
5.0%
Other Punctuation
ValueCountFrequency (%)
& 2
33.3%
. 2
33.3%
＆ 1
16.7%
· 1
16.7%
Space Separator
ValueCountFrequency (%)
79
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 762
70.5%
Latin 206
 
19.1%
Common 113
 
10.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 33
 
4.3%
이 32
 
4.2%
드 31
 
4.1%
스 29
 
3.8%
방 29
 
3.8%
임 28
 
3.7%
게 27
 
3.5%
랜 26
 
3.4%
아 21
 
2.8%
티 18
 
2.4%
Other values (167) 488
64.0%
Latin
ValueCountFrequency (%)
C 57
27.7%
P 57
27.7%
O 9
 
4.4%
A 8
 
3.9%
E 6
 
2.9%
T 5
 
2.4%
L 5
 
2.4%
V 4
 
1.9%
e 4
 
1.9%
a 4
 
1.9%
Other values (24) 47
22.8%
Common
ValueCountFrequency (%)
79
69.9%
2 6
 
5.3%
0 4
 
3.5%
( 4
 
3.5%
) 4
 
3.5%
1 3
 
2.7%
9 2
 
1.8%
& 2
 
1.8%
. 2
 
1.8%
3 2
 
1.8%
Other values (4) 5
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 762
70.5%
ASCII 317
29.3%
None 2
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
79
24.9%
C 57
18.0%
P 57
18.0%
O 9
 
2.8%
A 8
 
2.5%
E 6
 
1.9%
2 6
 
1.9%
T 5
 
1.6%
L 5
 
1.6%
0 4
 
1.3%
Other values (36) 81
25.6%
Hangul
ValueCountFrequency (%)
점 33
 
4.3%
이 32
 
4.2%
드 31
 
4.1%
스 29
 
3.8%
방 29
 
3.8%
임 28
 
3.7%
게 27
 
3.5%
랜 26
 
3.4%
아 21
 
2.8%
티 18
 
2.4%
Other values (167) 488
64.0%
None
ValueCountFrequency (%)
＆ 1
50.0%
· 1
50.0%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct135
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0160699 × 1013
Minimum2.0050304 × 1013
Maximum2.0210419 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-21T20:07:35.790004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0050304 × 1013
5-th percentile2.0090253 × 1013
Q12.0135771 × 1013
median2.0171018 × 1013
Q32.0190525 × 1013
95-th percentile2.0201089 × 1013
Maximum2.0210419 × 1013
Range1.6011502 × 1011
Interquartile range (IQR)5.4753999 × 1010

Descriptive statistics

Standard deviation3.7673457 × 1010
Coefficient of variation (CV)0.0018686583
Kurtosis-0.3382258
Mean2.0160699 × 1013
Median Absolute Deviation (MAD)2.030892 × 1010
Skewness-0.80218031
Sum2.7216943 × 1015
Variance1.4192894 × 1021
MonotonicityNot monotonic
2024-04-21T20:07:36.247122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20101126164038 1
 
0.7%
20190709114832 1
 
0.7%
20180315160421 1
 
0.7%
20190801160440 1
 
0.7%
20210208152929 1
 
0.7%
20190710134809 1
 
0.7%
20190411170220 1
 
0.7%
20181204172604 1
 
0.7%
20140925154641 1
 
0.7%
20161130163115 1
 
0.7%
Other values (125) 125
92.6%
ValueCountFrequency (%)
20050304101332 1
0.7%
20070502113852 1
0.7%
20080422101838 1
0.7%
20080714100249 1
0.7%
20080807112910 1
0.7%
20080820165417 1
0.7%
20090102094507 1
0.7%
20090318155408 1
0.7%
20090916115858 1
0.7%
20090921152255 1
0.7%
ValueCountFrequency (%)
20210419125539 1
0.7%
20210326170504 1
0.7%
20210303152906 1
0.7%
20210216180652 1
0.7%
20210208152929 1
0.7%
20201228094101 1
0.7%
20201228094022 1
0.7%
20201029140504 1
0.7%
20200928111026 1
0.7%
20200828124244 1
0.7%

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
I
97 
U
38 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 97
71.9%
U 38
 
28.1%

Length

2024-04-21T20:07:36.676778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T20:07:36.987171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 97
71.9%
u 38
 
28.1%

데이터갱신일자
Date

Distinct51
Distinct (%)37.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum2018-08-31 23:59:59
Maximum2021-04-21 02:40:00
2024-04-21T20:07:37.322995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T20:07:37.731580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing135
Missing (%)100.0%
Memory size1.3 KiB

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct122
Distinct (%)93.1%
Missing4
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean388584.41
Minimum373329.16
Maximum401701.76
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-21T20:07:38.112954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum373329.16
5-th percentile379350.24
Q1384871.02
median388450.49
Q3391534.27
95-th percentile398338.83
Maximum401701.76
Range28372.593
Interquartile range (IQR)6663.2519

Descriptive statistics

Standard deviation5879.3047
Coefficient of variation (CV)0.015130058
Kurtosis-0.053530609
Mean388584.41
Median Absolute Deviation (MAD)3456.825
Skewness0.014021896
Sum50904557
Variance34566223
MonotonicityNot monotonic
2024-04-21T20:07:38.736934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
396716.962927416 3
 
2.2%
384871.0192493 2
 
1.5%
391066.008148716 2
 
1.5%
389711.868260246 2
 
1.5%
387271.299492377 2
 
1.5%
391327.195329591 2
 
1.5%
382882.278858745 2
 
1.5%
379460.187336962 2
 
1.5%
391925.034417365 1
 
0.7%
390054.330863264 1
 
0.7%
Other values (112) 112
83.0%
(Missing) 4
 
3.0%
ValueCountFrequency (%)
373329.16312947 1
0.7%
373507.105636045 1
0.7%
379110.687036291 1
0.7%
379230.407334677 1
0.7%
379248.867134383 1
0.7%
379249.972825175 1
0.7%
379307.695818585 1
0.7%
379392.794002776 1
0.7%
379460.187336962 2
1.5%
379461.859303267 1
0.7%
ValueCountFrequency (%)
401701.756483606 1
0.7%
401620.469420749 1
0.7%
401476.744536382 1
0.7%
401404.910782153 1
0.7%
399032.660659307 1
0.7%
398377.77044139 1
0.7%
398363.110811109 1
0.7%
398314.554575032 1
0.7%
398237.363461482 1
0.7%
398146.557740499 1
0.7%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct122
Distinct (%)93.1%
Missing4
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean187274.98
Minimum175688.17
Maximum206095.72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-21T20:07:39.131241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum175688.17
5-th percentile178553.1
Q1183871.7
median186739.94
Q3191174.35
95-th percentile196740.47
Maximum206095.72
Range30407.552
Interquartile range (IQR)7302.6466

Descriptive statistics

Standard deviation6348.6066
Coefficient of variation (CV)0.033899919
Kurtosis0.57173291
Mean187274.98
Median Absolute Deviation (MAD)4319.4084
Skewness0.65386273
Sum24533022
Variance40304805
MonotonicityNot monotonic
2024-04-21T20:07:39.558898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
186904.064945782 3
 
2.2%
179600.395082956 2
 
1.5%
191059.352179538 2
 
1.5%
194492.669076997 2
 
1.5%
186099.137533193 2
 
1.5%
183926.389755619 2
 
1.5%
194681.150958776 2
 
1.5%
180305.158017524 2
 
1.5%
189270.83217752 1
 
0.7%
198675.298013138 1
 
0.7%
Other values (112) 112
83.0%
(Missing) 4
 
3.0%
ValueCountFrequency (%)
175688.173024086 1
0.7%
175752.422453699 1
0.7%
177269.681636831 1
0.7%
177529.957135139 1
0.7%
177706.786518732 1
0.7%
178039.321443569 1
0.7%
178279.40261468 1
0.7%
178826.792087724 1
0.7%
178858.448820953 1
0.7%
179352.713922229 1
0.7%
ValueCountFrequency (%)
206095.724959308 1
0.7%
205023.026001504 1
0.7%
204685.096657824 1
0.7%
204635.968428484 1
0.7%
204621.655738547 1
0.7%
198675.298013138 1
0.7%
196933.189461491 1
0.7%
196547.760248837 1
0.7%
196498.705794094 1
0.7%
195923.740631639 1
0.7%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
복합유통게임제공업
135 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
복합유통게임제공업 135
100.0%

Length

2024-04-21T20:07:39.977938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T20:07:40.279055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
복합유통게임제공업 135
100.0%

문화사업자구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
유통관련업
135 

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 135
100.0%

Length

2024-04-21T20:07:40.600437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T20:07:40.902137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 135
100.0%

총층수
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)24.2%
Missing69
Missing (%)51.1%
Infinite0
Infinite (%)0.0%
Mean7.8787879
Minimum2
Maximum47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-21T20:07:41.192741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q14
median6
Q39.75
95-th percentile15
Maximum47
Range45
Interquartile range (IQR)5.75

Descriptive statistics

Standard deviation7.432807
Coefficient of variation (CV)0.94339474
Kurtosis17.481203
Mean7.8787879
Median Absolute Deviation (MAD)2
Skewness3.869315
Sum520
Variance55.24662
MonotonicityNot monotonic
2024-04-21T20:07:41.543537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
4 11
 
8.1%
6 11
 
8.1%
5 11
 
8.1%
10 5
 
3.7%
3 5
 
3.7%
7 4
 
3.0%
12 4
 
3.0%
2 3
 
2.2%
11 2
 
1.5%
9 2
 
1.5%
Other values (6) 8
 
5.9%
(Missing) 69
51.1%
ValueCountFrequency (%)
2 3
 
2.2%
3 5
3.7%
4 11
8.1%
5 11
8.1%
6 11
8.1%
7 4
 
3.0%
8 2
 
1.5%
9 2
 
1.5%
10 5
3.7%
11 2
 
1.5%
ValueCountFrequency (%)
47 1
 
0.7%
42 1
 
0.7%
19 1
 
0.7%
15 2
 
1.5%
14 1
 
0.7%
12 4
3.0%
11 2
 
1.5%
10 5
3.7%
9 2
 
1.5%
8 2
 
1.5%

주변환경명
Categorical

IMBALANCE 

Distinct5
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
118 
기타
 
8
유흥업소밀집지역
 
4
학교정화(상대)
 
4
아파트지역
 
1

Length

Max length8
Median length4
Mean length4.1259259
Min length2

Unique

Unique1 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 118
87.4%
기타 8
 
5.9%
유흥업소밀집지역 4
 
3.0%
학교정화(상대) 4
 
3.0%
아파트지역 1
 
0.7%

Length

2024-04-21T20:07:41.941431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T20:07:42.277551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 118
87.4%
기타 8
 
5.9%
유흥업소밀집지역 4
 
3.0%
학교정화(상대 4
 
3.0%
아파트지역 1
 
0.7%

제작취급품목내용
Categorical

Distinct36
Distinct (%)26.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
59 
식품접객업(휴게음식점)
17 
휴게음식점
12 
식품접객업
 
4
기타유원시설업
 
4
Other values (31)
39 

Length

Max length26
Median length24
Mean length7.8444444
Min length3

Unique

Unique25 ?
Unique (%)18.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 59
43.7%
식품접객업(휴게음식점) 17
 
12.6%
휴게음식점 12
 
8.9%
식품접객업 4
 
3.0%
기타유원시설업 4
 
3.0%
청소년게임제공업 + 노래연습장업 3
 
2.2%
노래연습장업 3
 
2.2%
멀티게임 2
 
1.5%
인터넷컴퓨터게임시설제공업 + 식품접객업 2
 
1.5%
식품접객업(휴게음식점) 등록 2
 
1.5%
Other values (26) 27
20.0%

Length

2024-04-21T20:07:42.661605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 59
35.8%
식품접객업(휴게음식점 19
 
11.5%
휴게음식점 12
 
7.3%
청소년게임제공업 10
 
6.1%
식품접객업 7
 
4.2%
7
 
4.2%
노래연습장업 7
 
4.2%
인터넷컴퓨터게임시설제공업 6
 
3.6%
기타유원시설업 6
 
3.6%
노래연습 3
 
1.8%
Other values (24) 29
17.6%

시설면적
Real number (ℝ)

MISSING 

Distinct128
Distinct (%)98.5%
Missing5
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean273.91762
Minimum38.7
Maximum1070
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-21T20:07:42.961402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum38.7
5-th percentile95.523
Q1177.78
median249.965
Q3325.4625
95-th percentile550.9955
Maximum1070
Range1031.3
Interquartile range (IQR)147.6825

Descriptive statistics

Standard deviation165.39171
Coefficient of variation (CV)0.60380093
Kurtosis7.0482967
Mean273.91762
Median Absolute Deviation (MAD)74.02
Skewness2.2483801
Sum35609.29
Variance27354.418
MonotonicityNot monotonic
2024-04-21T20:07:43.215122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
334.12 2
 
1.5%
253.25 2
 
1.5%
214.24 1
 
0.7%
411.05 1
 
0.7%
438.93 1
 
0.7%
213.9 1
 
0.7%
408.07 1
 
0.7%
187.91 1
 
0.7%
300.25 1
 
0.7%
346.2 1
 
0.7%
Other values (118) 118
87.4%
(Missing) 5
 
3.7%
ValueCountFrequency (%)
38.7 1
0.7%
56.86 1
0.7%
63.92 1
0.7%
78.78 1
0.7%
81.22 1
0.7%
86.95 1
0.7%
94.92 1
0.7%
96.26 1
0.7%
98.34 1
0.7%
100.0 1
0.7%
ValueCountFrequency (%)
1070.0 1
0.7%
946.56 1
0.7%
874.14 1
0.7%
789.46 1
0.7%
766.19 1
0.7%
668.57 1
0.7%
588.71 1
0.7%
504.9 1
0.7%
476.15 1
0.7%
444.55 1
0.7%

지상층수
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)13.1%
Missing51
Missing (%)37.8%
Infinite0
Infinite (%)0.0%
Mean4.3452381
Minimum1
Maximum14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-21T20:07:43.417382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q35
95-th percentile10
Maximum14
Range13
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.7746444
Coefficient of variation (CV)0.63854831
Kurtosis1.6906552
Mean4.3452381
Median Absolute Deviation (MAD)1.5
Skewness1.2027923
Sum365
Variance7.6986517
MonotonicityNot monotonic
2024-04-21T20:07:43.612208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
5 17
 
12.6%
3 13
 
9.6%
4 12
 
8.9%
1 12
 
8.9%
2 11
 
8.1%
6 7
 
5.2%
10 4
 
3.0%
8 4
 
3.0%
9 2
 
1.5%
14 1
 
0.7%
(Missing) 51
37.8%
ValueCountFrequency (%)
1 12
8.9%
2 11
8.1%
3 13
9.6%
4 12
8.9%
5 17
12.6%
6 7
5.2%
8 4
 
3.0%
9 2
 
1.5%
10 4
 
3.0%
13 1
 
0.7%
ValueCountFrequency (%)
14 1
 
0.7%
13 1
 
0.7%
10 4
 
3.0%
9 2
 
1.5%
8 4
 
3.0%
6 7
5.2%
5 17
12.6%
4 12
8.9%
3 13
9.6%
2 11
8.1%

지하층수
Categorical

IMBALANCE 

Distinct6
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
91 
1
35 
2
 
6
0
 
1
4
 
1

Length

Max length4
Median length4
Mean length3.0296296
Min length1

Unique

Unique3 ?
Unique (%)2.2%

Sample

1st row1
2nd row1
3rd row1
4th row2
5th row1

Common Values

ValueCountFrequency (%)
<NA> 91
67.4%
1 35
 
25.9%
2 6
 
4.4%
0 1
 
0.7%
4 1
 
0.7%
10 1
 
0.7%

Length

2024-04-21T20:07:43.825366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T20:07:44.017892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 91
67.4%
1 35
 
25.9%
2 6
 
4.4%
0 1
 
0.7%
4 1
 
0.7%
10 1
 
0.7%

건물용도명
Categorical

Distinct5
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
86 
근린생활시설
44 
유통시설
 
2
판매시설
 
2
문화시설
 
1

Length

Max length6
Median length4
Mean length4.6518519
Min length4

Unique

Unique1 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 86
63.7%
근린생활시설 44
32.6%
유통시설 2
 
1.5%
판매시설 2
 
1.5%
문화시설 1
 
0.7%

Length

2024-04-21T20:07:44.233018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T20:07:44.433791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 86
63.7%
근린생활시설 44
32.6%
유통시설 2
 
1.5%
판매시설 2
 
1.5%
문화시설 1
 
0.7%

통로너비
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing135
Missing (%)100.0%
Memory size1.3 KiB

조명시설조도
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)93.3%
Missing120
Missing (%)88.9%
Infinite0
Infinite (%)0.0%
Mean131.8
Minimum42
Maximum519
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-21T20:07:44.609987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum42
5-th percentile47.6
Q157.5
median70
Q3132
95-th percentile413.3
Maximum519
Range477
Interquartile range (IQR)74.5

Descriptive statistics

Standard deviation136.29653
Coefficient of variation (CV)1.0341163
Kurtosis4.4749953
Mean131.8
Median Absolute Deviation (MAD)20
Skewness2.2091967
Sum1977
Variance18576.743
MonotonicityNot monotonic
2024-04-21T20:07:44.796157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
60 2
 
1.5%
200 1
 
0.7%
130 1
 
0.7%
90 1
 
0.7%
519 1
 
0.7%
79 1
 
0.7%
134 1
 
0.7%
50 1
 
0.7%
42 1
 
0.7%
70 1
 
0.7%
Other values (4) 4
 
3.0%
(Missing) 120
88.9%
ValueCountFrequency (%)
42 1
0.7%
50 1
0.7%
54 1
0.7%
55 1
0.7%
60 2
1.5%
66 1
0.7%
70 1
0.7%
79 1
0.7%
90 1
0.7%
130 1
0.7%
ValueCountFrequency (%)
519 1
0.7%
368 1
0.7%
200 1
0.7%
134 1
0.7%
130 1
0.7%
90 1
0.7%
79 1
0.7%
70 1
0.7%
66 1
0.7%
60 2
1.5%

노래방실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing135
Missing (%)100.0%
Memory size1.3 KiB

청소년실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing135
Missing (%)100.0%
Memory size1.3 KiB

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing135
Missing (%)100.0%
Memory size1.3 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing135
Missing (%)100.0%
Memory size1.3 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing135
Missing (%)100.0%
Memory size1.3 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing135
Missing (%)100.0%
Memory size1.3 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing135
Missing (%)100.0%
Memory size1.3 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing135
Missing (%)100.0%
Memory size1.3 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing135
Missing (%)100.0%
Memory size1.3 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing135
Missing (%)100.0%
Memory size1.3 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing135
Missing (%)100.0%
Memory size1.3 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing135
Missing (%)100.0%
Memory size1.3 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing135
Missing (%)100.0%
Memory size1.3 KiB

총게임기수
Real number (ℝ)

MISSING 

Distinct35
Distinct (%)85.4%
Missing94
Missing (%)69.6%
Infinite0
Infinite (%)0.0%
Mean67.341463
Minimum1
Maximum273
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-21T20:07:45.003916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8
Q139
median69
Q379
95-th percentile138
Maximum273
Range272
Interquartile range (IQR)40

Descriptive statistics

Standard deviation48.895608
Coefficient of variation (CV)0.72608473
Kurtosis6.810046
Mean67.341463
Median Absolute Deviation (MAD)24
Skewness1.9429125
Sum2761
Variance2390.7805
MonotonicityNot monotonic
2024-04-21T20:07:45.237288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
60 3
 
2.2%
74 2
 
1.5%
91 2
 
1.5%
70 2
 
1.5%
100 2
 
1.5%
50 1
 
0.7%
28 1
 
0.7%
32 1
 
0.7%
273 1
 
0.7%
80 1
 
0.7%
Other values (25) 25
 
18.5%
(Missing) 94
69.6%
ValueCountFrequency (%)
1 1
0.7%
3 1
0.7%
8 1
0.7%
12 1
0.7%
15 1
0.7%
20 1
0.7%
21 1
0.7%
27 1
0.7%
28 1
0.7%
32 1
0.7%
ValueCountFrequency (%)
273 1
0.7%
151 1
0.7%
138 1
0.7%
134 1
0.7%
120 1
0.7%
100 2
1.5%
91 2
1.5%
80 1
0.7%
79 1
0.7%
77 1
0.7%

기존게임업외업종명
Text

MISSING 

Distinct18
Distinct (%)66.7%
Missing108
Missing (%)80.0%
Memory size1.2 KiB
2024-04-21T20:07:45.835310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length22
Mean length12.962963
Min length5

Characters and Unicode

Total characters350
Distinct characters60
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

Unique13 ?
Unique (%)48.1%

Sample

1st row인터넷컴퓨터게임시설제공업
2nd row복합유통게임제공업
3rd row멀티게임기
4th row청소년게임제공업(10-1), 인터넷게임시설제공업
5th row청소년게임제공업, 인터넷컴퓨터게임시설제공업
ValueCountFrequency (%)
식품접객업(휴게음식점 6
17.6%
청소년게임제공업 5
14.7%
인터넷컴퓨터게임시설제공업 5
14.7%
식품접객업 2
 
5.9%
멀티게임기 2
 
5.9%
및 1
 
2.9%
소분·판매업 1
 
2.9%
식품 1
 
2.9%
노래연습장업 1
 
2.9%
식픔접객업 1
 
2.9%
Other values (9) 9
26.5%
2024-04-21T20:07:46.643190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
업 32
 
9.1%
게 27
 
7.7%
임 20
 
5.7%
식 18
 
5.1%
공 17
 
4.9%
제 17
 
4.9%
터 15
 
4.3%
접 10
 
2.9%
객 10
 
2.9%
품 10
 
2.9%
Other values (50) 174
49.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 308
88.0%
Close Punctuation 9
 
2.6%
Open Punctuation 9
 
2.6%
Space Separator 7
 
2.0%
Other Punctuation 7
 
2.0%
Decimal Number 6
 
1.7%
Uppercase Letter 2
 
0.6%
Math Symbol 1
 
0.3%
Dash Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 32
 
10.4%
게 27
 
8.8%
임 20
 
6.5%
식 18
 
5.8%
공 17
 
5.5%
제 17
 
5.5%
터 15
 
4.9%
접 10
 
3.2%
객 10
 
3.2%
품 10
 
3.2%
Other values (36) 132
42.9%
Decimal Number
ValueCountFrequency (%)
1 2
33.3%
0 2
33.3%
2 1
16.7%
4 1
16.7%
Other Punctuation
ValueCountFrequency (%)
, 5
71.4%
· 1
 
14.3%
: 1
 
14.3%
Uppercase Letter
ValueCountFrequency (%)
C 1
50.0%
P 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 308
88.0%
Common 40
 
11.4%
Latin 2
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 32
 
10.4%
게 27
 
8.8%
임 20
 
6.5%
식 18
 
5.8%
공 17
 
5.5%
제 17
 
5.5%
터 15
 
4.9%
접 10
 
3.2%
객 10
 
3.2%
품 10
 
3.2%
Other values (36) 132
42.9%
Common
ValueCountFrequency (%)
) 9
22.5%
( 9
22.5%
7
17.5%
, 5
12.5%
1 2
 
5.0%
0 2
 
5.0%
· 1
 
2.5%
+ 1
 
2.5%
: 1
 
2.5%
2 1
 
2.5%
Other values (2) 2
 
5.0%
Latin
ValueCountFrequency (%)
C 1
50.0%
P 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 308
88.0%
ASCII 41
 
11.7%
None 1
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
업 32
 
10.4%
게 27
 
8.8%
임 20
 
6.5%
식 18
 
5.8%
공 17
 
5.5%
제 17
 
5.5%
터 15
 
4.9%
접 10
 
3.2%
객 10
 
3.2%
품 10
 
3.2%
Other values (36) 132
42.9%
ASCII
ValueCountFrequency (%)
) 9
22.0%
( 9
22.0%
7
17.1%
, 5
12.2%
1 2
 
4.9%
0 2
 
4.9%
+ 1
 
2.4%
: 1
 
2.4%
2 1
 
2.4%
4 1
 
2.4%
Other values (3) 3
 
7.3%
None
ValueCountFrequency (%)
· 1
100.0%

제공게임물명
Categorical

IMBALANCE 

Distinct4
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
전체이용가
95 
<NA>
38 
청소년이용불가
 
1
전체이용가 및 청소년이용불가
 
1

Length

Max length15
Median length5
Mean length4.8074074
Min length4

Unique

Unique2 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
전체이용가 95
70.4%
<NA> 38
 
28.1%
청소년이용불가 1
 
0.7%
전체이용가 및 청소년이용불가 1
 
0.7%

Length

2024-04-21T20:07:46.870632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T20:07:47.069017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전체이용가 96
70.1%
na 38
 
27.7%
청소년이용불가 2
 
1.5%
및 1
 
0.7%

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing135
Missing (%)100.0%
Memory size1.3 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing135
Missing (%)100.0%
Memory size1.3 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing135
Missing (%)100.0%
Memory size1.3 KiB

지역구분명
Categorical

IMBALANCE 

Distinct8
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
98 
일반상업지역
21 
일반주거지역
 
5
상업지역
 
4
준주거지역
 
3
Other values (3)
 
4

Length

Max length6
Median length4
Mean length4.4518519
Min length4

Unique

Unique2 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 98
72.6%
일반상업지역 21
 
15.6%
일반주거지역 5
 
3.7%
상업지역 4
 
3.0%
준주거지역 3
 
2.2%
중심상업지역 2
 
1.5%
근린상업지역 1
 
0.7%
주거지역 1
 
0.7%

Length

2024-04-21T20:07:47.285415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T20:07:47.521008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 98
72.6%
일반상업지역 21
 
15.6%
일반주거지역 5
 
3.7%
상업지역 4
 
3.0%
준주거지역 3
 
2.2%
중심상업지역 2
 
1.5%
근린상업지역 1
 
0.7%
주거지역 1
 
0.7%

Unnamed: 59
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing135
Missing (%)100.0%
Memory size1.3 KiB

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명Unnamed: 59
01복합유통게임제공업03_05_04_P3340000CDFF224103200900000120090113201011254취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA><NA><NA><NA>부산광역시 사하구 당리동 303-11번지부산광역시 사하구 낙동대로 458 (당리동)<NA>명성게임랜드20101126164038I2018-08-31 23:59:59.0<NA>379460.187337180305.158018복합유통게임제공업유통관련업5유흥업소밀집지역<NA>246.67<NA>1근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA>상업지역<NA>
12복합유통게임제공업03_05_04_P3340000CDFF224103201500000220150601201609284취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA><NA><NA><NA>부산광역시 사하구 장림동 325-3번지 2층부산광역시 사하구 장림번영로 29 (장림동)49475장림게임랜드20161130163115I2018-08-31 23:59:59.0<NA>379461.859303177529.957135복합유통게임제공업유통관련업5<NA><NA>289.8541<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>39인터넷컴퓨터게임시설제공업전체이용가<NA><NA><NA><NA><NA>
23복합유통게임제공업03_05_04_P3340000CDFF224103201400000220141013201605194취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA><NA><NA><NA>부산광역시 사하구 하단동 514-6번지부산광역시 사하구 낙동남로1405번길 17 (하단동)49312LA게임랜드20160531175959I2018-08-31 23:59:59.0<NA>379110.687036180471.767351복합유통게임제공업유통관련업7<NA><NA>206.561<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA><NA><NA>
34복합유통게임제공업03_05_04_P3340000CDFF224103201400000120140710201604154취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA><NA><NA><NA>부산광역시 사하구 하단동 511-11번지부산광역시 사하구 낙동대로485번길 4 (하단동)49310에이스게임랜드20160415172330I2018-08-31 23:59:59.0<NA>379249.972825180508.020942복합유통게임제공업유통관련업<NA><NA><NA>203.18142<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA><NA><NA>
45복합유통게임제공업03_05_04_P3340000CDFF224103201200000120120511201403104취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA><NA><NA><NA>부산광역시 사하구 당리동 324-25번지부산광역시 사하구 괴정로 109 (당리동)604830오복게임랜드20140324150127I2018-08-31 23:59:59.0<NA>380111.186759179909.355202복합유통게임제공업유통관련업3<NA><NA>86.9521근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA>준주거지역<NA>
56복합유통게임제공업03_05_04_P3390000CDFF224103201500000120150421201603234취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA><NA><NA><NA>부산광역시 사상구 감전동 121-47번지부산광역시 사상구 새벽시장로103번길 51 (감전동)46981감전PC·게임랜드20160323173101I2018-08-31 23:59:59.0<NA>380846.10993185970.754779복합유통게임제공업유통관련업<NA><NA><NA>114.02<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>45<NA>전체이용가<NA><NA><NA><NA><NA>
67복합유통게임제공업03_05_04_P3390000CDFF224103200900000120090113201004204취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA><NA><NA><NA>부산광역시 사상구 괘법동 536-7번지부산광역시 사상구 광장로81번길 30 (괘법동)<NA>오리엔탈게임랜드20100421092606I2018-08-31 23:59:59.0<NA>380780.30406186777.469253복합유통게임제공업유통관련업<NA><NA><NA>139.492<NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>복합유통게임제공업<NA><NA><NA><NA><NA><NA>
78복합유통게임제공업03_05_04_P3310000CDFF224103201000000120100119201009084취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA><NA><NA><NA>부산광역시 남구 용호동 396-1번지부산광역시 남구 동명로 126 (용호동)608090오륙도 PC20111223113938I2018-08-31 23:59:59.0<NA>392343.777956182107.967155복합유통게임제공업유통관련업4<NA><NA>184.74<NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA><NA><NA>
89복합유통게임제공업03_05_04_P3310000CDFF224103201000000320100319201009214취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA><NA><NA><NA>부산광역시 남구 문현동 405-3번지부산광역시 남구 수영로 21-1 (문현동)608040드림게임랜드20150709175110I2018-08-31 23:59:59.0<NA>388611.317841183980.324941복합유통게임제공업유통관련업5<NA><NA>277.91<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA><NA><NA>
910복합유통게임제공업03_05_04_P3370000CDFF224103200900000120090519200909214취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA><NA><NA><NA>부산광역시 연제구 연산동 480-31번지부산광역시 연제구 고분로 234-1 (연산동)<NA>제일게임랜드20090921152255I2018-08-31 23:59:59.0<NA>391925.034417189270.832178복합유통게임제공업유통관련업3<NA><NA>146.91<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA><NA><NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명Unnamed: 59
125126복합유통게임제공업03_05_04_P3300000CDFF224103201900000520190425<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 동래구 안락동 425-105번지부산광역시 동래구 안락로 16, 1층 (안락동)47786판타지아20190425150838I2019-04-27 02:20:31.0<NA>391066.008149191059.35218복합유통게임제공업유통관련업<NA><NA>식품접객업(휴게음식점)316.65<NA><NA><NA><NA>368<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>27식품접객업(휴게음식점)전체이용가<NA><NA><NA><NA><NA>
126127복합유통게임제공업03_05_04_P3300000CDFF224103201900000420190408<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 동래구 안락동 462-60번지부산광역시 동래구 충렬대로459번길 19, 2층 (안락동)47795아레나X PC 안락점20190408171035I2019-04-10 02:20:18.0<NA>392031.141748190560.047059복합유통게임제공업유통관련업<NA><NA>식품접객업(휴게음식점)165.13<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA><NA><NA>
127128복합유통게임제공업03_05_04_P3300000CDFF224103201900000320190401<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 동래구 안락동 462-63번지부산광역시 동래구 충렬대로459번길 11, 2층 (안락동)47795자드PC 안락점20190401173627I2019-04-03 02:20:12.0<NA>392000.088824190553.083144복합유통게임제공업유통관련업<NA><NA>식품접객업(휴게음식점)151.77<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>식품접객업(휴게음식점)전체이용가<NA><NA><NA><NA><NA>
128129복합유통게임제공업03_05_04_P3300000CDFF224103201900000220190328<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 동래구 온천동 473-7번지부산광역시 동래구 온천장로 9, 2층 (온천동)47715OX PC 명륜역점20190401173741U2019-04-03 02:40:00.0<NA>389215.45239192405.99165복합유통게임제공업유통관련업<NA><NA>식품접객업(휴게음식점)158.02<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>식품접객업(휴게음식점)전체이용가<NA><NA><NA><NA><NA>
129130복합유통게임제공업03_05_04_P3300000CDFF224103201900000120190305<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 동래구 안락동 425-105번지부산광역시 동래구 안락로 16, 2층 (안락동)47786라이또PC 안락점20190401173759U2019-04-03 02:40:00.0<NA>391066.008149191059.35218복합유통게임제공업유통관련업<NA><NA>식품접객업(휴게음식점)285.2<NA><NA>근린생활시설<NA>66<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>80식품접객업(휴게음식점)전체이용가<NA><NA><NA><NA><NA>
130131복합유통게임제공업03_05_04_P3250000CDFF224103202000000120200129<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 중구 남포동5가 24-1번지부산광역시 중구 비프광장로 28, 지상1, 2층 (남포동5가)48953VAMS(남포점)20200602145601U2020-06-04 02:40:00.0<NA>384871.019249179600.395083복합유통게임제공업유통관련업<NA><NA>기타유원시설업668.57<NA><NA><NA><NA>55<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>60<NA>전체이용가<NA><NA><NA>일반상업지역<NA>
131132복합유통게임제공업03_05_04_P3250000CDFF224103201800000120180529<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 중구 남포동6가 75-1번지부산광역시 중구 구덕로 78, 지상 1,2층 (남포동6가)48981etang LAND20180529165926I2018-08-31 23:59:59.0<NA>384791.893824179516.212513복합유통게임제공업유통관련업2<NA>청소년게임제공업, 기타유원시설업247.8<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA>일반상업지역<NA>
132133복합유통게임제공업03_05_04_P3250000CDFF224103201700000220171101<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 중구 남포동5가 24-1부산광역시 중구 비프광장로 28, 2층 (남포동5가)489533POP PC CAFE20201228094101U2020-12-30 02:40:00.0<NA>384871.019249179600.395083복합유통게임제공업유통관련업6<NA>휴게음식점874.1451<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>273<NA>전체이용가<NA><NA><NA>일반상업지역<NA>
133134복합유통게임제공업03_05_04_P3250000CDFF224103201700000120170614<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 중구 중앙동4가 84-3부산광역시 중구 충장대로5번길 24, 지하1층 (중앙동4가)48938아이센스 PC카페 중앙동본점20201228094022U2020-12-30 02:40:00.0<NA>385673.302756180607.257893복합유통게임제공업유통관련업6<NA>식품접객업(휴게음식점)293.0551근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>60<NA>전체이용가<NA><NA><NA><NA><NA>
134135복합유통게임제공업03_05_04_P3250000CDFF224103201600000120161014<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 중구 남포동6가 85번지부산광역시 중구 비프광장로 20, 지하1층 (남포동6가)48981캠프 VR20190426162700U2019-04-28 02:40:00.0<NA>384819.053112179587.403633복합유통게임제공업유통관련업<NA><NA><NA>946.56<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>32<NA>전체이용가<NA><NA><NA><NA><NA>