Overview

Dataset statistics

Number of variables38
Number of observations879
Missing cells8034
Missing cells (%)24.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory281.7 KiB
Average record size in memory328.2 B

Variable types

Numeric11
Categorical14
Text5
Unsupported7
DateTime1

Dataset

Description2021-02-01
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20230901050101123167

Alerts

개방서비스명 has constant value ""Constant
개방서비스id has constant value ""Constant
문화체육업종명 has constant value ""Constant
상세영업상태명 is highly imbalanced (53.0%)Imbalance
휴업시작일자 is highly imbalanced (98.4%)Imbalance
휴업종료일자 is highly imbalanced (98.4%)Imbalance
공사립구분명 is highly imbalanced (98.7%)Imbalance
보험가입여부코드 is highly imbalanced (64.1%)Imbalance
지도자수 is highly imbalanced (82.0%)Imbalance
건축물동수 is highly imbalanced (69.6%)Imbalance
회원모집총인원 is highly imbalanced (98.1%)Imbalance
인허가취소일자 has 879 (100.0%) missing valuesMissing
폐업일자 has 548 (62.3%) missing valuesMissing
재개업일자 has 879 (100.0%) missing valuesMissing
소재지전화 has 170 (19.3%) missing valuesMissing
소재지면적 has 879 (100.0%) missing valuesMissing
소재지우편번호 has 277 (31.5%) missing valuesMissing
소재지전체주소 has 15 (1.7%) missing valuesMissing
도로명전체주소 has 20 (2.3%) missing valuesMissing
도로명우편번호 has 307 (34.9%) missing valuesMissing
업태구분명 has 879 (100.0%) missing valuesMissing
좌표정보(x) has 9 (1.0%) missing valuesMissing
좌표정보(y) has 9 (1.0%) missing valuesMissing
건축물연면적 has 526 (59.8%) missing valuesMissing
세부업종명 has 879 (100.0%) missing valuesMissing
법인명 has 879 (100.0%) missing valuesMissing
Unnamed: 37 has 879 (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
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
세부업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
법인명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 37 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건축물연면적 has 9 (1.0%) zerosZeros

Reproduction

Analysis started2024-04-16 23:03:53.446467
Analysis finished2024-04-16 23:03:54.252189
Duration0.81 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct879
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean440
Minimum1
Maximum879
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.9 KiB
2024-04-17T08:03:54.308064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile44.9
Q1220.5
median440
Q3659.5
95-th percentile835.1
Maximum879
Range878
Interquartile range (IQR)439

Descriptive statistics

Standard deviation253.88974
Coefficient of variation (CV)0.57702214
Kurtosis-1.2
Mean440
Median Absolute Deviation (MAD)220
Skewness0
Sum386760
Variance64460
MonotonicityStrictly increasing
2024-04-17T08:03:54.413279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
592 1
 
0.1%
581 1
 
0.1%
582 1
 
0.1%
583 1
 
0.1%
584 1
 
0.1%
585 1
 
0.1%
586 1
 
0.1%
587 1
 
0.1%
588 1
 
0.1%
Other values (869) 869
98.9%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
879 1
0.1%
878 1
0.1%
877 1
0.1%
876 1
0.1%
875 1
0.1%
874 1
0.1%
873 1
0.1%
872 1
0.1%
871 1
0.1%
870 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.0 KiB
골프연습장업
879 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
골프연습장업 879
100.0%

Length

2024-04-17T08:03:54.513881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T08:03:54.583905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
골프연습장업 879
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.0 KiB
10_31_01_P
879 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row10_31_01_P
2nd row10_31_01_P
3rd row10_31_01_P
4th row10_31_01_P
5th row10_31_01_P

Common Values

ValueCountFrequency (%)
10_31_01_P 879
100.0%

Length

2024-04-17T08:03:54.657261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T08:03:54.731145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10_31_01_p 879
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3335551.8
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.9 KiB
2024-04-17T08:03:54.801978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3250000
5-th percentile3260000
Q13300000
median3330000
Q33370000
95-th percentile3400000
Maximum3400000
Range150000
Interquartile range (IQR)70000

Descriptive statistics

Standard deviation39436.628
Coefficient of variation (CV)0.01182312
Kurtosis-0.70460625
Mean3335551.8
Median Absolute Deviation (MAD)30000
Skewness-0.2240401
Sum2.93195 × 109
Variance1.5552476 × 109
MonotonicityNot monotonic
2024-04-17T08:03:54.896411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3330000 125
14.2%
3340000 82
9.3%
3290000 69
 
7.8%
3300000 68
 
7.7%
3370000 65
 
7.4%
3350000 65
 
7.4%
3390000 63
 
7.2%
3380000 60
 
6.8%
3360000 53
 
6.0%
3320000 51
 
5.8%
Other values (6) 178
20.3%
ValueCountFrequency (%)
3250000 30
 
3.4%
3260000 15
 
1.7%
3270000 21
 
2.4%
3280000 18
 
2.0%
3290000 69
7.8%
3300000 68
7.7%
3310000 43
 
4.9%
3320000 51
5.8%
3330000 125
14.2%
3340000 82
9.3%
ValueCountFrequency (%)
3400000 51
5.8%
3390000 63
7.2%
3380000 60
6.8%
3370000 65
7.4%
3360000 53
6.0%
3350000 65
7.4%
3340000 82
9.3%
3330000 125
14.2%
3320000 51
5.8%
3310000 43
 
4.9%

관리번호
Text

Distinct177
Distinct (%)20.1%
Missing0
Missing (%)0.0%
Memory size7.0 KiB
2024-04-17T08:03:55.057524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters17580
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique51 ?
Unique (%)5.8%

Sample

1st rowCDFH3301052004000003
2nd rowCDFH3301052005000001
3rd rowCDFH3301051992000001
4th rowCDFH3301051996000001
5th rowCDFH3301051997000002
ValueCountFrequency (%)
cdfh3301052009000001 16
 
1.8%
cdfh3301052015000001 15
 
1.7%
cdfh3301052010000001 15
 
1.7%
cdfh3301052009000002 14
 
1.6%
cdfh3301052010000002 14
 
1.6%
cdfh3301052011000001 14
 
1.6%
cdfh3301052007000001 14
 
1.6%
cdfh3301052008000002 14
 
1.6%
cdfh3301052003000001 13
 
1.5%
cdfh3301052007000002 13
 
1.5%
Other values (167) 737
83.8%
2024-04-17T08:03:55.325386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 7445
42.3%
3 1952
 
11.1%
1 1782
 
10.1%
2 1068
 
6.1%
5 1007
 
5.7%
C 879
 
5.0%
D 879
 
5.0%
F 879
 
5.0%
H 879
 
5.0%
9 268
 
1.5%
Other values (4) 542
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 14064
80.0%
Uppercase Letter 3516
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7445
52.9%
3 1952
 
13.9%
1 1782
 
12.7%
2 1068
 
7.6%
5 1007
 
7.2%
9 268
 
1.9%
4 159
 
1.1%
8 149
 
1.1%
7 123
 
0.9%
6 111
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
C 879
25.0%
D 879
25.0%
F 879
25.0%
H 879
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 14064
80.0%
Latin 3516
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7445
52.9%
3 1952
 
13.9%
1 1782
 
12.7%
2 1068
 
7.6%
5 1007
 
7.2%
9 268
 
1.9%
4 159
 
1.1%
8 149
 
1.1%
7 123
 
0.9%
6 111
 
0.8%
Latin
ValueCountFrequency (%)
C 879
25.0%
D 879
25.0%
F 879
25.0%
H 879
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 17580
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7445
42.3%
3 1952
 
11.1%
1 1782
 
10.1%
2 1068
 
6.1%
5 1007
 
5.7%
C 879
 
5.0%
D 879
 
5.0%
F 879
 
5.0%
H 879
 
5.0%
9 268
 
1.5%
Other values (4) 542
 
3.1%

인허가일자
Real number (ℝ)

Distinct772
Distinct (%)87.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20095141
Minimum19891201
Maximum20201119
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.9 KiB
2024-04-17T08:03:55.441049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19891201
5-th percentile19980314
Q120070416
median20100121
Q320140176
95-th percentile20190416
Maximum20201119
Range309918
Interquartile range (IQR)69759

Descriptive statistics

Standard deviation60163.184
Coefficient of variation (CV)0.002993917
Kurtosis0.65706958
Mean20095141
Median Absolute Deviation (MAD)30603
Skewness-0.62848242
Sum1.7663629 × 1010
Variance3.6196087 × 109
MonotonicityNot monotonic
2024-04-17T08:03:55.553422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20030203 9
 
1.0%
20161222 4
 
0.5%
20071127 3
 
0.3%
20080311 3
 
0.3%
20091106 3
 
0.3%
20100218 3
 
0.3%
20100813 3
 
0.3%
20200109 3
 
0.3%
20090513 3
 
0.3%
20100105 3
 
0.3%
Other values (762) 842
95.8%
ValueCountFrequency (%)
19891201 1
0.1%
19891208 1
0.1%
19891222 1
0.1%
19900103 1
0.1%
19900104 1
0.1%
19910531 1
0.1%
19910920 1
0.1%
19911221 1
0.1%
19920319 1
0.1%
19921112 1
0.1%
ValueCountFrequency (%)
20201119 1
0.1%
20200915 1
0.1%
20200730 1
0.1%
20200707 1
0.1%
20200706 1
0.1%
20200603 1
0.1%
20200508 1
0.1%
20200413 1
0.1%
20200227 1
0.1%
20200211 1
0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing879
Missing (%)100.0%
Memory size7.9 KiB

영업상태구분코드
Categorical

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size7.0 KiB
1
538 
3
295 
4
 
44
2
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 538
61.2%
3 295
33.6%
4 44
 
5.0%
2 2
 
0.2%

Length

2024-04-17T08:03:55.654179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T08:03:55.734833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 538
61.2%
3 295
33.6%
4 44
 
5.0%
2 2
 
0.2%

영업상태명
Categorical

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size7.0 KiB
영업/정상
538 
폐업
295 
취소/말소/만료/정지/중지
 
44
휴업
 
2

Length

Max length14
Median length5
Mean length4.4368601
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 538
61.2%
폐업 295
33.6%
취소/말소/만료/정지/중지 44
 
5.0%
휴업 2
 
0.2%

Length

2024-04-17T08:03:55.829956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T08:03:55.917154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 538
61.2%
폐업 295
33.6%
취소/말소/만료/정지/중지 44
 
5.0%
휴업 2
 
0.2%

상세영업상태코드
Real number (ℝ)

Distinct6
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.714448
Minimum2
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.9 KiB
2024-04-17T08:03:55.996979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q13
median13
Q313
95-th percentile14.9
Maximum35
Range33
Interquartile range (IQR)10

Descriptive statistics

Standard deviation7.2570229
Coefficient of variation (CV)0.67731186
Kurtosis3.6600239
Mean10.714448
Median Absolute Deviation (MAD)0
Skewness1.4694146
Sum9418
Variance52.664381
MonotonicityNot monotonic
2024-04-17T08:03:56.302663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
13 538
61.2%
3 295
33.6%
35 42
 
4.8%
2 2
 
0.2%
32 1
 
0.1%
33 1
 
0.1%
ValueCountFrequency (%)
2 2
 
0.2%
3 295
33.6%
13 538
61.2%
32 1
 
0.1%
33 1
 
0.1%
35 42
 
4.8%
ValueCountFrequency (%)
35 42
 
4.8%
33 1
 
0.1%
32 1
 
0.1%
13 538
61.2%
3 295
33.6%
2 2
 
0.2%

상세영업상태명
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size7.0 KiB
영업중
538 
폐업
295 
직권말소
 
42
휴업
 
2
신고취소
 
1

Length

Max length4
Median length3
Mean length2.7121729
Min length2

Unique

Unique2 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 538
61.2%
폐업 295
33.6%
직권말소 42
 
4.8%
휴업 2
 
0.2%
신고취소 1
 
0.1%
지정취소 1
 
0.1%

Length

2024-04-17T08:03:56.400691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T08:03:56.495937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 538
61.2%
폐업 295
33.6%
직권말소 42
 
4.8%
휴업 2
 
0.2%
신고취소 1
 
0.1%
지정취소 1
 
0.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct283
Distinct (%)85.5%
Missing548
Missing (%)62.3%
Infinite0
Infinite (%)0.0%
Mean20141239
Minimum19991027
Maximum20201216
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.9 KiB
2024-04-17T08:03:56.617270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19991027
5-th percentile20050762
Q120105660
median20150624
Q320180908
95-th percentile20200565
Maximum20201216
Range210189
Interquartile range (IQR)75248

Descriptive statistics

Standard deviation46555.64
Coefficient of variation (CV)0.0023114586
Kurtosis-0.25481285
Mean20141239
Median Absolute Deviation (MAD)30596
Skewness-0.67192493
Sum6.66675 × 109
Variance2.1674276 × 109
MonotonicityNot monotonic
2024-04-17T08:03:56.757142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20181204 11
 
1.3%
20190409 4
 
0.5%
20171213 3
 
0.3%
20190416 3
 
0.3%
20170426 3
 
0.3%
20151228 2
 
0.2%
20181228 2
 
0.2%
20130620 2
 
0.2%
20140127 2
 
0.2%
20200605 2
 
0.2%
Other values (273) 297
33.8%
(Missing) 548
62.3%
ValueCountFrequency (%)
19991027 1
0.1%
20010425 1
0.1%
20020727 1
0.1%
20021212 1
0.1%
20030625 1
0.1%
20030906 1
0.1%
20031017 1
0.1%
20031031 1
0.1%
20031231 1
0.1%
20040227 1
0.1%
ValueCountFrequency (%)
20201216 1
0.1%
20201211 1
0.1%
20201125 1
0.1%
20201124 1
0.1%
20201110 1
0.1%
20200930 1
0.1%
20200911 1
0.1%
20200827 1
0.1%
20200806 1
0.1%
20200703 1
0.1%

휴업시작일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size7.0 KiB
<NA>
877 
20180808
 
1
20090701
 
1

Length

Max length8
Median length4
Mean length4.0091013
Min length4

Unique

Unique2 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 877
99.8%
20180808 1
 
0.1%
20090701 1
 
0.1%

Length

2024-04-17T08:03:56.867218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T08:03:56.952717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 877
99.8%
20180808 1
 
0.1%
20090701 1
 
0.1%

휴업종료일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size7.0 KiB
<NA>
877 
20190630
 
1
20110630
 
1

Length

Max length8
Median length4
Mean length4.0091013
Min length4

Unique

Unique2 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 877
99.8%
20190630 1
 
0.1%
20110630 1
 
0.1%

Length

2024-04-17T08:03:57.046662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T08:03:57.148420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 877
99.8%
20190630 1
 
0.1%
20110630 1
 
0.1%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing879
Missing (%)100.0%
Memory size7.9 KiB

소재지전화
Text

MISSING 

Distinct685
Distinct (%)96.6%
Missing170
Missing (%)19.3%
Memory size7.0 KiB
2024-04-17T08:03:57.367542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length10.070522
Min length5

Characters and Unicode

Total characters7140
Distinct characters15
Distinct categories6 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique661 ?
Unique (%)93.2%

Sample

1st row255-0707
2nd row466-4655
3rd row464-4171
4th row051-466-0969
5th row051-245-0155
ValueCountFrequency (%)
204-1160 2
 
0.3%
501-1940 2
 
0.3%
051 2
 
0.3%
756-5005 2
 
0.3%
051-508-9991 2
 
0.3%
529-1745 2
 
0.3%
051-202-0099 2
 
0.3%
266-8500 2
 
0.3%
051-505-0782 2
 
0.3%
051-720-9001 2
 
0.3%
Other values (678) 693
97.2%
2024-04-17T08:03:57.714128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1116
15.6%
- 1042
14.6%
5 944
13.2%
1 867
12.1%
7 619
8.7%
2 591
8.3%
3 481
6.7%
6 390
 
5.5%
4 382
 
5.4%
8 376
 
5.3%
Other values (5) 332
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6069
85.0%
Dash Punctuation 1042
 
14.6%
Close Punctuation 15
 
0.2%
Math Symbol 7
 
0.1%
Space Separator 4
 
0.1%
Other Punctuation 3
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1116
18.4%
5 944
15.6%
1 867
14.3%
7 619
10.2%
2 591
9.7%
3 481
7.9%
6 390
 
6.4%
4 382
 
6.3%
8 376
 
6.2%
9 303
 
5.0%
Dash Punctuation
ValueCountFrequency (%)
- 1042
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Math Symbol
ValueCountFrequency (%)
~ 7
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7140
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1116
15.6%
- 1042
14.6%
5 944
13.2%
1 867
12.1%
7 619
8.7%
2 591
8.3%
3 481
6.7%
6 390
 
5.5%
4 382
 
5.4%
8 376
 
5.3%
Other values (5) 332
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7140
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1116
15.6%
- 1042
14.6%
5 944
13.2%
1 867
12.1%
7 619
8.7%
2 591
8.3%
3 481
6.7%
6 390
 
5.5%
4 382
 
5.4%
8 376
 
5.3%
Other values (5) 332
 
4.6%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing879
Missing (%)100.0%
Memory size7.9 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct311
Distinct (%)51.7%
Missing277
Missing (%)31.5%
Infinite0
Infinite (%)0.0%
Mean611287.26
Minimum600013
Maximum619963
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.9 KiB
2024-04-17T08:03:57.831143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum600013
5-th percentile601837.1
Q1607823.5
median612020
Q3614802.25
95-th percentile619904.9
Maximum619963
Range19950
Interquartile range (IQR)6978.75

Descriptive statistics

Standard deviation5141.6651
Coefficient of variation (CV)0.0084112092
Kurtosis-0.74938952
Mean611287.26
Median Absolute Deviation (MAD)4187
Skewness-0.23132711
Sum3.6799493 × 108
Variance26436720
MonotonicityNot monotonic
2024-04-17T08:03:57.955822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
616852 13
 
1.5%
619905 10
 
1.1%
619963 9
 
1.0%
611803 8
 
0.9%
604868 7
 
0.8%
612846 6
 
0.7%
613815 6
 
0.7%
612836 6
 
0.7%
613827 6
 
0.7%
612851 6
 
0.7%
Other values (301) 525
59.7%
(Missing) 277
31.5%
ValueCountFrequency (%)
600013 1
0.1%
600021 1
0.1%
600031 1
0.1%
600042 2
0.2%
600044 1
0.1%
600046 1
0.1%
600051 1
0.1%
600082 1
0.1%
600092 1
0.1%
600100 2
0.2%
ValueCountFrequency (%)
619963 9
1.0%
619962 1
 
0.1%
619961 4
 
0.5%
619952 1
 
0.1%
619951 1
 
0.1%
619913 1
 
0.1%
619912 3
 
0.3%
619906 1
 
0.1%
619905 10
1.1%
619903 1
 
0.1%

소재지전체주소
Text

MISSING 

Distinct822
Distinct (%)95.1%
Missing15
Missing (%)1.7%
Memory size7.0 KiB
2024-04-17T08:03:58.222307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length70
Median length44
Mean length25.784722
Min length13

Characters and Unicode

Total characters22278
Distinct characters340
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

Unique788 ?
Unique (%)91.2%

Sample

1st row부산광역시 중구 광복동1가 7번지
2nd row부산광역시 중구 중앙동4가 76-23번지
3rd row부산광역시 중구 중앙동4가 89-12번지
4th row부산광역시 중구 중앙동3가 9-5번지
5th row부산광역시 중구 대청동2가 34-1번지
ValueCountFrequency (%)
부산광역시 864
 
20.2%
해운대구 125
 
2.9%
사하구 79
 
1.8%
부산진구 69
 
1.6%
동래구 68
 
1.6%
금정구 65
 
1.5%
연제구 62
 
1.5%
사상구 61
 
1.4%
수영구 60
 
1.4%
북구 51
 
1.2%
Other values (1313) 2770
64.8%
2024-04-17T08:03:58.606872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3411
 
15.3%
1 1042
 
4.7%
부 1006
 
4.5%
산 1006
 
4.5%
동 972
 
4.4%
광 901
 
4.0%
시 883
 
4.0%
지 879
 
3.9%
역 864
 
3.9%
구 843
 
3.8%
Other values (330) 10471
47.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13272
59.6%
Decimal Number 4635
 
20.8%
Space Separator 3411
 
15.3%
Dash Punctuation 745
 
3.3%
Uppercase Letter 84
 
0.4%
Other Punctuation 76
 
0.3%
Open Punctuation 23
 
0.1%
Close Punctuation 22
 
0.1%
Math Symbol 10
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 1006
 
7.6%
산 1006
 
7.6%
동 972
 
7.3%
광 901
 
6.8%
시 883
 
6.7%
지 879
 
6.6%
역 864
 
6.5%
구 843
 
6.4%
번 771
 
5.8%
층 247
 
1.9%
Other values (290) 4900
36.9%
Uppercase Letter
ValueCountFrequency (%)
B 29
34.5%
S 10
 
11.9%
C 7
 
8.3%
A 5
 
6.0%
K 5
 
6.0%
I 4
 
4.8%
E 3
 
3.6%
D 3
 
3.6%
W 2
 
2.4%
Z 2
 
2.4%
Other values (12) 14
16.7%
Decimal Number
ValueCountFrequency (%)
1 1042
22.5%
2 639
13.8%
3 536
11.6%
4 422
9.1%
0 408
 
8.8%
5 397
 
8.6%
7 342
 
7.4%
6 323
 
7.0%
8 269
 
5.8%
9 257
 
5.5%
Other Punctuation
ValueCountFrequency (%)
, 72
94.7%
/ 3
 
3.9%
& 1
 
1.3%
Space Separator
ValueCountFrequency (%)
3411
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 745
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%
Math Symbol
ValueCountFrequency (%)
~ 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13272
59.6%
Common 8922
40.0%
Latin 84
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 1006
 
7.6%
산 1006
 
7.6%
동 972
 
7.3%
광 901
 
6.8%
시 883
 
6.7%
지 879
 
6.6%
역 864
 
6.5%
구 843
 
6.4%
번 771
 
5.8%
층 247
 
1.9%
Other values (290) 4900
36.9%
Latin
ValueCountFrequency (%)
B 29
34.5%
S 10
 
11.9%
C 7
 
8.3%
A 5
 
6.0%
K 5
 
6.0%
I 4
 
4.8%
E 3
 
3.6%
D 3
 
3.6%
W 2
 
2.4%
Z 2
 
2.4%
Other values (12) 14
16.7%
Common
ValueCountFrequency (%)
3411
38.2%
1 1042
 
11.7%
- 745
 
8.4%
2 639
 
7.2%
3 536
 
6.0%
4 422
 
4.7%
0 408
 
4.6%
5 397
 
4.4%
7 342
 
3.8%
6 323
 
3.6%
Other values (8) 657
 
7.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13272
59.6%
ASCII 9006
40.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3411
37.9%
1 1042
 
11.6%
- 745
 
8.3%
2 639
 
7.1%
3 536
 
6.0%
4 422
 
4.7%
0 408
 
4.5%
5 397
 
4.4%
7 342
 
3.8%
6 323
 
3.6%
Other values (30) 741
 
8.2%
Hangul
ValueCountFrequency (%)
부 1006
 
7.6%
산 1006
 
7.6%
동 972
 
7.3%
광 901
 
6.8%
시 883
 
6.7%
지 879
 
6.6%
역 864
 
6.5%
구 843
 
6.4%
번 771
 
5.8%
층 247
 
1.9%
Other values (290) 4900
36.9%

도로명전체주소
Text

MISSING 

Distinct831
Distinct (%)96.7%
Missing20
Missing (%)2.3%
Memory size7.0 KiB
2024-04-17T08:03:58.879393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length74
Median length50
Mean length31.355064
Min length19

Characters and Unicode

Total characters26934
Distinct characters380
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique807 ?
Unique (%)93.9%

Sample

1st row부산광역시 중구 광복로85번길 5-10 (광복동1가)
2nd row부산광역시 중구 중앙대로 148 (중앙동4가)
3rd row부산광역시 중구 충장대로5번길 5 (중앙동4가)
4th row부산광역시 중구 해관로 49 (중앙동3가)
5th row부산광역시 중구 광복중앙로 28-1 (대청동2가)
ValueCountFrequency (%)
부산광역시 859
 
16.9%
해운대구 123
 
2.4%
사하구 81
 
1.6%
부산진구 69
 
1.4%
금정구 64
 
1.3%
동래구 63
 
1.2%
연제구 63
 
1.2%
사상구 62
 
1.2%
수영구 58
 
1.1%
강서구 53
 
1.0%
Other values (1426) 3578
70.5%
2024-04-17T08:03:59.276906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4397
 
16.3%
동 1053
 
3.9%
산 1036
 
3.8%
부 1005
 
3.7%
광 930
 
3.5%
시 929
 
3.4%
역 859
 
3.2%
로 850
 
3.2%
구 844
 
3.1%
1 831
 
3.1%
Other values (370) 14200
52.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15837
58.8%
Space Separator 4397
 
16.3%
Decimal Number 4092
 
15.2%
Open Punctuation 829
 
3.1%
Close Punctuation 827
 
3.1%
Other Punctuation 770
 
2.9%
Dash Punctuation 85
 
0.3%
Uppercase Letter 78
 
0.3%
Math Symbol 16
 
0.1%
Lowercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1053
 
6.6%
산 1036
 
6.5%
부 1005
 
6.3%
광 930
 
5.9%
시 929
 
5.9%
역 859
 
5.4%
로 850
 
5.4%
구 844
 
5.3%
대 503
 
3.2%
층 351
 
2.2%
Other values (330) 7477
47.2%
Uppercase Letter
ValueCountFrequency (%)
B 39
50.0%
S 8
 
10.3%
C 6
 
7.7%
A 4
 
5.1%
K 4
 
5.1%
I 3
 
3.8%
F 2
 
2.6%
Y 2
 
2.6%
N 1
 
1.3%
W 1
 
1.3%
Other values (8) 8
 
10.3%
Decimal Number
ValueCountFrequency (%)
1 831
20.3%
2 643
15.7%
3 471
11.5%
0 425
10.4%
4 413
10.1%
5 314
 
7.7%
6 286
 
7.0%
7 278
 
6.8%
9 220
 
5.4%
8 211
 
5.2%
Other Punctuation
ValueCountFrequency (%)
, 766
99.5%
& 2
 
0.3%
* 1
 
0.1%
/ 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 828
99.9%
[ 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 826
99.9%
] 1
 
0.1%
Space Separator
ValueCountFrequency (%)
4397
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 85
100.0%
Math Symbol
ValueCountFrequency (%)
~ 16
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15837
58.8%
Common 11016
40.9%
Latin 81
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1053
 
6.6%
산 1036
 
6.5%
부 1005
 
6.3%
광 930
 
5.9%
시 929
 
5.9%
역 859
 
5.4%
로 850
 
5.4%
구 844
 
5.3%
대 503
 
3.2%
층 351
 
2.2%
Other values (330) 7477
47.2%
Common
ValueCountFrequency (%)
4397
39.9%
1 831
 
7.5%
( 828
 
7.5%
) 826
 
7.5%
, 766
 
7.0%
2 643
 
5.8%
3 471
 
4.3%
0 425
 
3.9%
4 413
 
3.7%
5 314
 
2.9%
Other values (11) 1102
 
10.0%
Latin
ValueCountFrequency (%)
B 39
48.1%
S 8
 
9.9%
C 6
 
7.4%
A 4
 
4.9%
K 4
 
4.9%
I 3
 
3.7%
b 3
 
3.7%
F 2
 
2.5%
Y 2
 
2.5%
N 1
 
1.2%
Other values (9) 9
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15837
58.8%
ASCII 11097
41.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4397
39.6%
1 831
 
7.5%
( 828
 
7.5%
) 826
 
7.4%
, 766
 
6.9%
2 643
 
5.8%
3 471
 
4.2%
0 425
 
3.8%
4 413
 
3.7%
5 314
 
2.8%
Other values (30) 1183
 
10.7%
Hangul
ValueCountFrequency (%)
동 1053
 
6.6%
산 1036
 
6.5%
부 1005
 
6.3%
광 930
 
5.9%
시 929
 
5.9%
역 859
 
5.4%
로 850
 
5.4%
구 844
 
5.3%
대 503
 
3.2%
층 351
 
2.2%
Other values (330) 7477
47.2%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct401
Distinct (%)70.1%
Missing307
Missing (%)34.9%
Infinite0
Infinite (%)0.0%
Mean102828.44
Minimum46004
Maximum619963
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.9 KiB
2024-04-17T08:03:59.385711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46004
5-th percentile46053.65
Q146758.75
median47566
Q348553.25
95-th percentile612025.5
Maximum619963
Range573959
Interquartile range (IQR)1794.5

Descriptive statistics

Standard deviation168004.76
Coefficient of variation (CV)1.6338355
Kurtosis5.3841308
Mean102828.44
Median Absolute Deviation (MAD)853
Skewness2.7136047
Sum58817869
Variance2.8225601 × 1010
MonotonicityNot monotonic
2024-04-17T08:03:59.486291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
46726 18
 
2.0%
46015 8
 
0.9%
46765 6
 
0.7%
46059 4
 
0.5%
47502 4
 
0.5%
46027 4
 
0.5%
46230 4
 
0.5%
46759 4
 
0.5%
46762 4
 
0.5%
47511 4
 
0.5%
Other values (391) 512
58.2%
(Missing) 307
34.9%
ValueCountFrequency (%)
46004 1
 
0.1%
46006 1
 
0.1%
46008 2
 
0.2%
46015 8
0.9%
46017 1
 
0.1%
46018 1
 
0.1%
46021 1
 
0.1%
46027 4
0.5%
46029 2
 
0.2%
46032 1
 
0.1%
ValueCountFrequency (%)
619963 2
0.2%
619952 1
0.1%
619905 2
0.2%
619903 1
0.1%
619901 1
0.1%
619871 1
0.1%
618814 1
0.1%
618290 1
0.1%
617846 2
0.2%
617829 1
0.1%

사업장명
Text

Distinct834
Distinct (%)94.9%
Missing0
Missing (%)0.0%
Memory size7.0 KiB
2024-04-17T08:03:59.687554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length22
Mean length8.367463
Min length2

Characters and Unicode

Total characters7355
Distinct characters431
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique794 ?
Unique (%)90.3%

Sample

1st row(주)이지알앤에스 실내골프연습장
2nd row리드 실내골프연습장
3rd row대원골프연습장
4th row중앙골프클럽
5th row광복실내골프연습장
ValueCountFrequency (%)
골프 52
 
4.3%
스크린골프 44
 
3.6%
스크린 36
 
3.0%
골프연습장 35
 
2.9%
골프아카데미 17
 
1.4%
골프존 14
 
1.2%
아카데미 11
 
0.9%
스크린골프연습장 10
 
0.8%
골프클럽 8
 
0.7%
실내골프연습장 5
 
0.4%
Other values (897) 983
80.9%
2024-04-17T08:04:00.011039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
프 794
 
10.8%
골 788
 
10.7%
스 524
 
7.1%
린 393
 
5.3%
크 382
 
5.2%
336
 
4.6%
장 272
 
3.7%
연 253
 
3.4%
습 242
 
3.3%
아 105
 
1.4%
Other values (421) 3266
44.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6485
88.2%
Space Separator 336
 
4.6%
Uppercase Letter 302
 
4.1%
Close Punctuation 56
 
0.8%
Open Punctuation 55
 
0.7%
Lowercase Letter 46
 
0.6%
Decimal Number 44
 
0.6%
Other Punctuation 26
 
0.4%
Dash Punctuation 3
 
< 0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
프 794
 
12.2%
골 788
 
12.2%
스 524
 
8.1%
린 393
 
6.1%
크 382
 
5.9%
장 272
 
4.2%
연 253
 
3.9%
습 242
 
3.7%
아 105
 
1.6%
카 98
 
1.5%
Other values (358) 2634
40.6%
Uppercase Letter
ValueCountFrequency (%)
G 42
13.9%
S 29
 
9.6%
J 24
 
7.9%
K 22
 
7.3%
O 20
 
6.6%
A 18
 
6.0%
P 18
 
6.0%
M 16
 
5.3%
B 14
 
4.6%
R 12
 
4.0%
Other values (14) 87
28.8%
Lowercase Letter
ValueCountFrequency (%)
n 8
17.4%
o 6
13.0%
e 4
8.7%
s 4
8.7%
l 4
8.7%
i 3
 
6.5%
f 2
 
4.3%
y 2
 
4.3%
a 2
 
4.3%
u 2
 
4.3%
Other values (7) 9
19.6%
Decimal Number
ValueCountFrequency (%)
2 12
27.3%
1 6
13.6%
7 6
13.6%
5 6
13.6%
0 4
 
9.1%
4 4
 
9.1%
3 2
 
4.5%
6 2
 
4.5%
8 1
 
2.3%
9 1
 
2.3%
Other Punctuation
ValueCountFrequency (%)
& 13
50.0%
. 7
26.9%
· 2
 
7.7%
' 2
 
7.7%
＆ 1
 
3.8%
/ 1
 
3.8%
Space Separator
ValueCountFrequency (%)
336
100.0%
Close Punctuation
ValueCountFrequency (%)
) 56
100.0%
Open Punctuation
ValueCountFrequency (%)
( 55
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6485
88.2%
Common 521
 
7.1%
Latin 349
 
4.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
프 794
 
12.2%
골 788
 
12.2%
스 524
 
8.1%
린 393
 
6.1%
크 382
 
5.9%
장 272
 
4.2%
연 253
 
3.9%
습 242
 
3.7%
아 105
 
1.6%
카 98
 
1.5%
Other values (358) 2634
40.6%
Latin
ValueCountFrequency (%)
G 42
 
12.0%
S 29
 
8.3%
J 24
 
6.9%
K 22
 
6.3%
O 20
 
5.7%
A 18
 
5.2%
P 18
 
5.2%
M 16
 
4.6%
B 14
 
4.0%
R 12
 
3.4%
Other values (32) 134
38.4%
Common
ValueCountFrequency (%)
336
64.5%
) 56
 
10.7%
( 55
 
10.6%
& 13
 
2.5%
2 12
 
2.3%
. 7
 
1.3%
1 6
 
1.2%
7 6
 
1.2%
5 6
 
1.2%
0 4
 
0.8%
Other values (11) 20
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6485
88.2%
ASCII 866
 
11.8%
None 3
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
프 794
 
12.2%
골 788
 
12.2%
스 524
 
8.1%
린 393
 
6.1%
크 382
 
5.9%
장 272
 
4.2%
연 253
 
3.9%
습 242
 
3.7%
아 105
 
1.6%
카 98
 
1.5%
Other values (358) 2634
40.6%
ASCII
ValueCountFrequency (%)
336
38.8%
) 56
 
6.5%
( 55
 
6.4%
G 42
 
4.8%
S 29
 
3.3%
J 24
 
2.8%
K 22
 
2.5%
O 20
 
2.3%
A 18
 
2.1%
P 18
 
2.1%
Other values (50) 246
28.4%
None
ValueCountFrequency (%)
· 2
66.7%
＆ 1
33.3%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct879
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0163688 × 1013
Minimum2.0021227 × 1013
Maximum2.0201231 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.9 KiB
2024-04-17T08:04:00.133320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0021227 × 1013
5-th percentile2.0090405 × 1013
Q12.0140519 × 1013
median2.0180323 × 1013
Q32.0191206 × 1013
95-th percentile2.020103 × 1013
Maximum2.0201231 × 1013
Range1.8000406 × 1011
Interquartile range (IQR)5.0686989 × 1010

Descriptive statistics

Standard deviation3.9375181 × 1010
Coefficient of variation (CV)0.0019527767
Kurtosis1.116409
Mean2.0163688 × 1013
Median Absolute Deviation (MAD)2.0190964 × 1010
Skewness-1.2452634
Sum1.7723882 × 1016
Variance1.5504049 × 1021
MonotonicityNot monotonic
2024-04-17T08:04:00.245584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20150608132227 1
 
0.1%
20091231134416 1
 
0.1%
20140109174849 1
 
0.1%
20130404153416 1
 
0.1%
20110112164237 1
 
0.1%
20181018134005 1
 
0.1%
20131010091106 1
 
0.1%
20121217165649 1
 
0.1%
20130502112912 1
 
0.1%
20190924115516 1
 
0.1%
Other values (869) 869
98.9%
ValueCountFrequency (%)
20021227103144 1
0.1%
20030109171150 1
0.1%
20030110141132 1
0.1%
20030203110210 1
0.1%
20030203110340 1
0.1%
20030203110518 1
0.1%
20030226104604 1
0.1%
20030331101637 1
0.1%
20030430175817 1
0.1%
20031017172247 1
0.1%
ValueCountFrequency (%)
20201231161025 1
0.1%
20201230133501 1
0.1%
20201230085220 1
0.1%
20201229100129 1
0.1%
20201228140935 1
0.1%
20201224142319 1
0.1%
20201224141957 1
0.1%
20201223140408 1
0.1%
20201222113432 1
0.1%
20201216113955 1
0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.0 KiB
I
498 
U
381 

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 498
56.7%
U 381
43.3%

Length

2024-04-17T08:04:00.354799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T08:04:00.435097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 498
56.7%
u 381
43.3%

데이터갱신일자
Date

Distinct214
Distinct (%)24.3%
Missing0
Missing (%)0.0%
Memory size7.0 KiB
Minimum2018-08-31 23:59:59
Maximum2021-01-02 02:40:00
2024-04-17T08:04:00.521347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T08:04:00.626289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing879
Missing (%)100.0%
Memory size7.9 KiB

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct718
Distinct (%)82.5%
Missing9
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean388017.19
Minimum366778.84
Maximum407507.94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.9 KiB
2024-04-17T08:04:00.734197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum366778.84
5-th percentile375182.34
Q1382994.74
median388772.69
Q3392414.27
95-th percentile398318.83
Maximum407507.94
Range40729.102
Interquartile range (IQR)9419.5301

Descriptive statistics

Standard deviation6841.7773
Coefficient of variation (CV)0.017632665
Kurtosis-0.15044039
Mean388017.19
Median Absolute Deviation (MAD)4284.2419
Skewness-0.20908029
Sum3.3757496 × 108
Variance46809916
MonotonicityNot monotonic
2024-04-17T08:04:00.851545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
390057.531834683 4
 
0.5%
388772.690659798 4
 
0.5%
380751.85794394 4
 
0.5%
380540.836768886 4
 
0.5%
394254.000317371 3
 
0.3%
398024.244821605 3
 
0.3%
398218.09176136 3
 
0.3%
391202.373979842 3
 
0.3%
403054.577045169 3
 
0.3%
387686.194940483 3
 
0.3%
Other values (708) 836
95.1%
(Missing) 9
 
1.0%
ValueCountFrequency (%)
366778.837130241 1
0.1%
369062.766773096 1
0.1%
369082.163399585 1
0.1%
369100.736478994 1
0.1%
370993.074784655 1
0.1%
371070.269343027 1
0.1%
371173.79944234 2
0.2%
371178.823833358 1
0.1%
371343.929617089 1
0.1%
371362.0 1
0.1%
ValueCountFrequency (%)
407507.938658253 1
 
0.1%
404652.929281822 1
 
0.1%
403863.06017145 1
 
0.1%
403130.0 1
 
0.1%
403109.0 1
 
0.1%
403071.0 1
 
0.1%
403054.577045169 3
0.3%
401878.440381112 1
 
0.1%
401684.661779178 1
 
0.1%
401683.483048634 1
 
0.1%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct718
Distinct (%)82.5%
Missing9
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean187331.71
Minimum173968.57
Maximum207005.49
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.9 KiB
2024-04-17T08:04:00.989919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum173968.57
5-th percentile177545.57
Q1183144.21
median187339.53
Q3190751.94
95-th percentile197988.73
Maximum207005.49
Range33036.914
Interquartile range (IQR)7607.7251

Descriptive statistics

Standard deviation6486.4342
Coefficient of variation (CV)0.034625393
Kurtosis0.18759847
Mean187331.71
Median Absolute Deviation (MAD)3653.406
Skewness0.35856136
Sum1.6297859 × 108
Variance42073829
MonotonicityNot monotonic
2024-04-17T08:04:01.108509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
196950.450593302 4
 
0.5%
189846.311489648 4
 
0.5%
185656.488485036 4
 
0.5%
175274.144961403 4
 
0.5%
187484.983031977 3
 
0.3%
204621.655738547 3
 
0.3%
203994.563890741 3
 
0.3%
191289.345957951 3
 
0.3%
201007.435331934 3
 
0.3%
189911.430545728 3
 
0.3%
Other values (708) 836
95.1%
(Missing) 9
 
1.0%
ValueCountFrequency (%)
173968.574615591 1
0.1%
174009.639875441 1
0.1%
174035.700224564 1
0.1%
174068.494334685 1
0.1%
174209.665999624 2
0.2%
174289.976688419 2
0.2%
174403.0 1
0.1%
174676.412428464 1
0.1%
174978.46447201 1
0.1%
175237.529203319 1
0.1%
ValueCountFrequency (%)
207005.48875144 1
0.1%
206047.415761754 1
0.1%
206042.801652498 1
0.1%
205722.852692375 1
0.1%
205555.974594837 1
0.1%
205277.845892938 1
0.1%
204874.624668269 1
0.1%
204794.968858 1
0.1%
204769.0 1
0.1%
204712.0 1
0.1%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.0 KiB
골프연습장업
879 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
골프연습장업 879
100.0%

Length

2024-04-17T08:04:01.210459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T08:04:01.281888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
골프연습장업 879
100.0%

공사립구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.0 KiB
사립
878 
공립
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
사립 878
99.9%
공립 1
 
0.1%

Length

2024-04-17T08:04:01.356792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T08:04:01.428365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 878
99.9%
공립 1
 
0.1%

보험가입여부코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size7.0 KiB
<NA>
755 
0
88 
Y
 
35
1
 
1

Length

Max length4
Median length4
Mean length3.5767918
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row<NA>
2nd row0
3rd row<NA>
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 755
85.9%
0 88
 
10.0%
Y 35
 
4.0%
1 1
 
0.1%

Length

2024-04-17T08:04:01.522777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T08:04:01.623245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 755
85.9%
0 88
 
10.0%
y 35
 
4.0%
1 1
 
0.1%

지도자수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size7.0 KiB
<NA>
821 
1
 
44
2
 
11
3
 
2
0
 
1

Length

Max length4
Median length4
Mean length3.8020478
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 821
93.4%
1 44
 
5.0%
2 11
 
1.3%
3 2
 
0.2%
0 1
 
0.1%

Length

2024-04-17T08:04:01.727094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T08:04:01.813095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 821
93.4%
1 44
 
5.0%
2 11
 
1.3%
3 2
 
0.2%
0 1
 
0.1%

건축물동수
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size7.0 KiB
<NA>
729 
1
132 
0
 
7
2
 
7
5
 
3

Length

Max length4
Median length4
Mean length3.4880546
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 729
82.9%
1 132
 
15.0%
0 7
 
0.8%
2 7
 
0.8%
5 3
 
0.3%
4 1
 
0.1%

Length

2024-04-17T08:04:01.906183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T08:04:02.254975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 729
82.9%
1 132
 
15.0%
0 7
 
0.8%
2 7
 
0.8%
5 3
 
0.3%
4 1
 
0.1%

건축물연면적
Real number (ℝ)

MISSING  ZEROS 

Distinct331
Distinct (%)93.8%
Missing526
Missing (%)59.8%
Infinite0
Infinite (%)0.0%
Mean5362.7326
Minimum0
Maximum143479.19
Zeros9
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size7.9 KiB
2024-04-17T08:04:02.355816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile167.764
Q1623.7
median1916.59
Q34362.09
95-th percentile18336.616
Maximum143479.19
Range143479.19
Interquartile range (IQR)3738.39

Descriptive statistics

Standard deviation14009.267
Coefficient of variation (CV)2.6123374
Kurtosis55.990495
Mean5362.7326
Median Absolute Deviation (MAD)1523.33
Skewness6.8811737
Sum1893044.6
Variance1.9625957 × 108
MonotonicityNot monotonic
2024-04-17T08:04:02.472981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 9
 
1.0%
2434.08 3
 
0.3%
2470.42 3
 
0.3%
2671.21 2
 
0.2%
1301.44 2
 
0.2%
3772.26 2
 
0.2%
2096.03 2
 
0.2%
4274.22 2
 
0.2%
31854.3 2
 
0.2%
5718.42 2
 
0.2%
Other values (321) 324
36.9%
(Missing) 526
59.8%
ValueCountFrequency (%)
0.0 9
1.0%
0.1 1
 
0.1%
36.32 1
 
0.1%
96.99 1
 
0.1%
128.8 1
 
0.1%
138.29 1
 
0.1%
140.0 1
 
0.1%
145.2 1
 
0.1%
147.45 1
 
0.1%
159.67 1
 
0.1%
ValueCountFrequency (%)
143479.19 1
0.1%
129000.0 1
0.1%
116942.0 1
0.1%
64681.13 1
0.1%
55054.37 1
0.1%
54329.0 1
0.1%
52382.0 1
0.1%
43141.69 1
0.1%
35212.21 1
0.1%
31854.3 2
0.2%

회원모집총인원
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size7.0 KiB
<NA>
876 
300
 
1
70
 
1
400
 
1

Length

Max length4
Median length4
Mean length3.9954494
Min length2

Unique

Unique3 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 876
99.7%
300 1
 
0.1%
70 1
 
0.1%
400 1
 
0.1%

Length

2024-04-17T08:04:02.586976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T08:04:02.676666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 876
99.7%
300 1
 
0.1%
70 1
 
0.1%
400 1
 
0.1%

세부업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing879
Missing (%)100.0%
Memory size7.9 KiB

법인명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing879
Missing (%)100.0%
Memory size7.9 KiB

Unnamed: 37
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing879
Missing (%)100.0%
Memory size7.9 KiB

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명Unnamed: 37
01골프연습장업10_31_01_P3250000CDFH330105200400000320040811<NA>3폐업3폐업20150608<NA><NA><NA>255-0707<NA>600031부산광역시 중구 광복동1가 7번지부산광역시 중구 광복로85번길 5-10 (광복동1가)<NA>(주)이지알앤에스 실내골프연습장20150608132227I2018-08-31 23:59:59.0<NA>385386.063275179669.736313골프연습장업사립<NA><NA><NA><NA><NA><NA><NA><NA>
12골프연습장업10_31_01_P3250000CDFH330105200500000120050328<NA>3폐업3폐업20070605<NA><NA><NA>466-4655<NA>600816부산광역시 중구 중앙동4가 76-23번지부산광역시 중구 중앙대로 148 (중앙동4가)<NA>리드 실내골프연습장20070605140559I2018-08-31 23:59:59.0<NA>385735.140512180956.485998골프연습장업사립0<NA><NA><NA><NA><NA><NA><NA>
23골프연습장업10_31_01_P3250000CDFH330105199200000119921123<NA>3폐업3폐업20130103<NA><NA><NA>464-4171<NA>600814부산광역시 중구 중앙동4가 89-12번지부산광역시 중구 충장대로5번길 5 (중앙동4가)<NA>대원골프연습장20130103111523I2018-08-31 23:59:59.0<NA>385635.996084180419.418144골프연습장업사립<NA><NA><NA>145.2<NA><NA><NA><NA>
34골프연습장업10_31_01_P3250000CDFH330105199600000119960502<NA>3폐업3폐업20100112<NA><NA><NA>051-466-0969<NA>600013부산광역시 중구 중앙동3가 9-5번지부산광역시 중구 해관로 49 (중앙동3가)<NA>중앙골프클럽20100112151009I2018-08-31 23:59:59.0<NA>385514.650537180140.244867골프연습장업사립0<NA><NA>214.0<NA><NA><NA><NA>
45골프연습장업10_31_01_P3250000CDFH330105199700000219971211<NA>3폐업3폐업20020727<NA><NA><NA>051-245-0155<NA>600092부산광역시 중구 대청동2가 34-1번지부산광역시 중구 광복중앙로 28-1 (대청동2가)<NA>광복실내골프연습장20040727102048I2018-08-31 23:59:59.0<NA>385126.032162179976.116994골프연습장업사립0<NA><NA><NA><NA><NA><NA><NA>
56골프연습장업10_31_01_P3250000CDFH330105200300000120030305<NA>3폐업3폐업20040228<NA><NA><NA>051-463-1100<NA>600100부산광역시 중구 대창동2가 36-5번지부산광역시 중구 중앙대로 133 (대창동2가)<NA>포시즌 골프연습장20040709121811I2018-08-31 23:59:59.0<NA>385634.524592180842.542511골프연습장업사립0<NA><NA><NA><NA><NA><NA><NA>
67골프연습장업10_31_01_P3250000CDFH330105201400000320140508<NA>3폐업3폐업20191029<NA><NA><NA>051-246-0717<NA>600042부산광역시 중구 남포동2가 25-10번지부산광역시 중구 구덕로34번길 4 (남포동2가)48954광복스크린20191029175001U2019-10-31 02:40:00.0<NA>385243.158544179580.295176골프연습장업사립<NA><NA><NA>8245.54<NA><NA><NA><NA>
78골프연습장업10_31_01_P3250000CDFH330105201500000120150102<NA>3폐업3폐업20191213<NA><NA><NA>1899-6569<NA>600051부산광역시 중구 창선동1가 12-1번지부산광역시 중구 광복로39번길 6 (창선동1가)48947제임스짐(JAMESGYM)20191213112332U2019-12-15 02:40:00.0<NA>384993.660073179733.755299골프연습장업사립<NA>3<NA>16057.0<NA><NA><NA><NA>
89골프연습장업10_31_01_P3250000CDFH330105200700000220070508<NA>3폐업3폐업20100108<NA><NA><NA>463-4700<NA>600100부산광역시 중구 대창동1가 23-13번지부산광역시 중구 중앙대로 129 (대창동1가)<NA>스카이 골프20100108105017I2018-08-31 23:59:59.0<NA>385629.342278180803.857906골프연습장업사립0<NA><NA><NA><NA><NA><NA><NA>
910골프연습장업10_31_01_P3250000CDFH330105200900000120090429<NA>3폐업3폐업20130114<NA><NA><NA>247-2323<NA>600044부산광역시 중구 남포동4가 37-1번지부산광역시 중구 자갈치해안로 52 (남포동4가)<NA>비치골프클럽20130114093207I2018-08-31 23:59:59.0<NA>385139.215952179403.007902골프연습장업사립<NA><NA><NA><NA><NA><NA><NA><NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명Unnamed: 37
869870골프연습장업10_31_01_P3330000CDFH330105200400000220040330<NA>4취소/말소/만료/정지/중지35직권말소20181204<NA><NA><NA>051-704-8799<NA>612843부산광역시 해운대구 좌동 1443-6번지 한창프라자 3층부산광역시 해운대구 좌동순환로 307-1 (좌동,한창프라자 3층)<NA>Lee골프클리닉20181204132351U2019-05-10 02:40:00.0<NA>398835.47776187666.142752골프연습장업사립<NA><NA><NA>320.87<NA><NA><NA><NA>
870871골프연습장업10_31_01_P3330000CDFH330105200500000220050129<NA>4취소/말소/만료/정지/중지35직권말소20181204<NA><NA><NA>051-742-3456<NA>612846부산광역시 해운대구 중동 940-3번지부산광역시 해운대구 달맞이길62번길 3 (중동)<NA>해운대골프아카데미20181204110423U2018-12-06 02:40:00.0<NA>397783.088647186778.584045골프연습장업사립<NA><NA><NA>270.39<NA><NA><NA><NA>
871872골프연습장업10_31_01_P3330000CDFH330105200700000520070516<NA>4취소/말소/만료/정지/중지35직권말소20181204<NA><NA><NA>051-702-5577<NA>612862부산광역시 해운대구 좌동 1429-1번지 501호부산광역시 해운대구 좌동로 152, 501호 (좌동)<NA>알바트로스 클럽20181204132204U2018-12-06 02:40:00.0<NA>398628.50347188364.542637골프연습장업사립<NA><NA><NA><NA><NA><NA><NA><NA>
872873골프연습장업10_31_01_P3330000CDFH330105200800000320080125<NA>4취소/말소/만료/정지/중지35직권말소20181204<NA><NA><NA>051-744-0911<NA>612824부산광역시 해운대구 우동 1434번지부산광역시 해운대구 마린시티3로 1 (우동)<NA>썬프라자골프연습장20181204110538U2018-12-06 02:40:00.0<NA>395615.201854186406.750871골프연습장업사립<NA><NA><NA><NA><NA><NA><NA><NA>
873874골프연습장업10_31_01_P3330000CDFH330105201200000320120418<NA>4취소/말소/만료/정지/중지35직권말소20181204<NA><NA><NA>703-7222<NA>612836부산광역시 해운대구 좌동 1459-6번지 자생메디컬타워 B101호부산광역시 해운대구 해운대로 793, B101호 (좌동, 자생메디컬타워)48102(주)나눔FNC20181204132622U2019-05-10 02:40:00.0<NA>398107.089978187767.70283골프연습장업사립<NA><NA><NA><NA><NA><NA><NA><NA>
874875골프연습장업10_31_01_P3330000CDFH330105200800000820080311<NA>4취소/말소/만료/정지/중지35직권말소20181204<NA><NA><NA>051-783-1800<NA>612833부산광역시 해운대구 재송동 1129-1번지부산광역시 해운대구 재반로112번길 14 (재송동)<NA>장산스크린골프20181204132040U2018-12-06 02:40:00.0<NA>393747.234162189760.397963골프연습장업사립<NA><NA><NA><NA><NA><NA><NA><NA>
875876골프연습장업10_31_01_P3330000CDFH330105201000000720100726<NA>4취소/말소/만료/정지/중지35직권말소20181204<NA><NA><NA><NA><NA>612874부산광역시 해운대구 우동 1507번지 트럼프월드센텀2 상가401호부산광역시 해운대구 센텀3로 32 (우동,트럼프월드센텀2 상가401호)<NA>액티브짐20181204131034U2018-12-06 02:40:00.0<NA>394340.42655187360.76946골프연습장업사립<NA><NA><NA><NA><NA><NA><NA><NA>
876877골프연습장업10_31_01_P3330000CDFH330105200900000420090429<NA>4취소/말소/만료/정지/중지35직권말소20181204<NA><NA><NA><NA><NA>612849부산광역시 해운대구 중동 1489-4번지부산광역시 해운대구 달맞이길 193 (중동)48115오션뷰 스크린 골프연습장20181204105833U2018-12-06 02:40:00.0<NA>398794.494655186552.868898골프연습장업사립<NA><NA><NA><NA><NA><NA><NA><NA>
877878골프연습장업10_31_01_P3330000CDFH330105200900001520091208<NA>4취소/말소/만료/정지/중지35직권말소20181204<NA><NA><NA><NA><NA>612020부산광역시 해운대구 우동 1484번지부산광역시 해운대구 센텀동로 26 (우동)<NA>스마일휘트니스센터20181204131145U2018-12-06 02:40:00.0<NA>394205.564135187948.534671골프연습장업사립<NA><NA><NA><NA><NA><NA><NA><NA>
878879골프연습장업10_31_01_P3330000CDFH330105200400000120040309<NA>4취소/말소/만료/정지/중지35직권말소20181204<NA><NA><NA>051-703-7701<NA>612842부산광역시 해운대구 좌동 1483-2번지 노블시티5층부산광역시 해운대구 세실로27번길 15 (좌동,노블시티5층)<NA>PGA실내골프연습장20181204115658U2018-12-06 02:40:00.0<NA>398385.316332187615.739745골프연습장업사립<NA><NA><NA>376.6<NA><NA><NA><NA>