Overview

Dataset statistics

Number of variables38
Number of observations1569
Missing cells14122
Missing cells (%)23.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory501.2 KiB
Average record size in memory327.1 B

Variable types

Numeric11
Categorical15
Text5
Unsupported6
DateTime1

Dataset

Description2021-05-01
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20230901050101123180

Alerts

개방서비스명 has constant value ""Constant
개방서비스id has constant value ""Constant
문화체육업종명 has constant value ""Constant
휴업시작일자 is highly imbalanced (98.8%)Imbalance
휴업종료일자 is highly imbalanced (98.8%)Imbalance
공사립구분명 is highly imbalanced (99.2%)Imbalance
보험가입여부코드 is highly imbalanced (61.6%)Imbalance
지도자수 is highly imbalanced (55.1%)Imbalance
회원모집총인원 is highly imbalanced (98.3%)Imbalance
인허가취소일자 has 1569 (100.0%) missing valuesMissing
폐업일자 has 922 (58.8%) missing valuesMissing
재개업일자 has 1569 (100.0%) missing valuesMissing
소재지전화 has 437 (27.9%) missing valuesMissing
소재지면적 has 1569 (100.0%) missing valuesMissing
소재지우편번호 has 571 (36.4%) missing valuesMissing
소재지전체주소 has 26 (1.7%) missing valuesMissing
도로명전체주소 has 50 (3.2%) missing valuesMissing
도로명우편번호 has 592 (37.7%) missing valuesMissing
좌표정보(x) has 34 (2.2%) missing valuesMissing
좌표정보(y) has 34 (2.2%) missing valuesMissing
건축물동수 has 1311 (83.6%) missing valuesMissing
건축물연면적 has 731 (46.6%) missing valuesMissing
세부업종명 has 1569 (100.0%) missing valuesMissing
법인명 has 1569 (100.0%) missing valuesMissing
Unnamed: 37 has 1569 (100.0%) missing valuesMissing
번호 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
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
건축물동수 has 20 (1.3%) zerosZeros
건축물연면적 has 18 (1.1%) zerosZeros

Reproduction

Analysis started2024-04-18 09:25:55.292711
Analysis finished2024-04-18 09:25:56.325844
Duration1.03 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct1569
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean785
Minimum1
Maximum1569
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2024-04-18T18:25:56.393469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile79.4
Q1393
median785
Q31177
95-th percentile1490.6
Maximum1569
Range1568
Interquartile range (IQR)784

Descriptive statistics

Standard deviation453.0756
Coefficient of variation (CV)0.57716637
Kurtosis-1.2
Mean785
Median Absolute Deviation (MAD)392
Skewness0
Sum1231665
Variance205277.5
MonotonicityStrictly increasing
2024-04-18T18:25:56.542748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
1055 1
 
0.1%
1053 1
 
0.1%
1052 1
 
0.1%
1051 1
 
0.1%
1050 1
 
0.1%
1049 1
 
0.1%
1048 1
 
0.1%
1047 1
 
0.1%
1046 1
 
0.1%
Other values (1559) 1559
99.4%
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 (%)
1569 1
0.1%
1568 1
0.1%
1567 1
0.1%
1566 1
0.1%
1565 1
0.1%
1564 1
0.1%
1563 1
0.1%
1562 1
0.1%
1561 1
0.1%
1560 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.4 KiB
체육도장업
1569 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
체육도장업 1569
100.0%

Length

2024-04-18T18:25:56.675887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T18:25:56.778315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
체육도장업 1569
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.4 KiB
10_41_01_P
1569 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row10_41_01_P
2nd row10_41_01_P
3rd row10_41_01_P
4th row10_41_01_P
5th row10_41_01_P

Common Values

ValueCountFrequency (%)
10_41_01_P 1569
100.0%

Length

2024-04-18T18:25:56.915961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T18:25:57.020661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10_41_01_p 1569
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3332619.5
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2024-04-18T18:25:57.115111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3250000
5-th percentile3280000
Q13300000
median3330000
Q33360000
95-th percentile3400000
Maximum3400000
Range150000
Interquartile range (IQR)60000

Descriptive statistics

Standard deviation36693.138
Coefficient of variation (CV)0.011010299
Kurtosis-0.72916705
Mean3332619.5
Median Absolute Deviation (MAD)30000
Skewness0.11600065
Sum5.22888 × 109
Variance1.3463864 × 109
MonotonicityNot monotonic
2024-04-18T18:25:57.238789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3330000 183
11.7%
3320000 159
10.1%
3290000 149
9.5%
3300000 140
8.9%
3340000 138
8.8%
3310000 132
8.4%
3350000 129
8.2%
3390000 103
6.6%
3370000 98
 
6.2%
3400000 88
 
5.6%
Other values (6) 250
15.9%
ValueCountFrequency (%)
3250000 11
 
0.7%
3260000 41
 
2.6%
3270000 21
 
1.3%
3280000 40
 
2.5%
3290000 149
9.5%
3300000 140
8.9%
3310000 132
8.4%
3320000 159
10.1%
3330000 183
11.7%
3340000 138
8.8%
ValueCountFrequency (%)
3400000 88
5.6%
3390000 103
6.6%
3380000 59
 
3.8%
3370000 98
6.2%
3360000 78
5.0%
3350000 129
8.2%
3340000 138
8.8%
3330000 183
11.7%
3320000 159
10.1%
3310000 132
8.4%

관리번호
Text

Distinct427
Distinct (%)27.2%
Missing0
Missing (%)0.0%
Memory size12.4 KiB
2024-04-18T18:25:57.418686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters31380
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

Unique168 ?
Unique (%)10.7%

Sample

1st rowCDFH3301021989000001
2nd rowCDFH3301022004000002
3rd rowCDFH3301021988000001
4th rowCDFH3301021991000001
5th rowCDFH3301021994000001
ValueCountFrequency (%)
cdfh3301022020000001 15
 
1.0%
cdfh3301022016000001 14
 
0.9%
cdfh3301022020000002 14
 
0.9%
cdfh3301022018000001 14
 
0.9%
cdfh3301021989000001 13
 
0.8%
cdfh3301022009000001 13
 
0.8%
cdfh3301022005000001 13
 
0.8%
cdfh3301022012000001 13
 
0.8%
cdfh3301022017000001 13
 
0.8%
cdfh3301022014000001 13
 
0.8%
Other values (417) 1434
91.4%
2024-04-18T18:25:57.722397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 12844
40.9%
3 3606
 
11.5%
2 3306
 
10.5%
1 3023
 
9.6%
C 1569
 
5.0%
D 1569
 
5.0%
F 1569
 
5.0%
H 1569
 
5.0%
9 926
 
3.0%
4 318
 
1.0%
Other values (4) 1081
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 25104
80.0%
Uppercase Letter 6276
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 12844
51.2%
3 3606
 
14.4%
2 3306
 
13.2%
1 3023
 
12.0%
9 926
 
3.7%
4 318
 
1.3%
8 309
 
1.2%
5 308
 
1.2%
7 235
 
0.9%
6 229
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
C 1569
25.0%
D 1569
25.0%
F 1569
25.0%
H 1569
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 25104
80.0%
Latin 6276
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 12844
51.2%
3 3606
 
14.4%
2 3306
 
13.2%
1 3023
 
12.0%
9 926
 
3.7%
4 318
 
1.3%
8 309
 
1.2%
5 308
 
1.2%
7 235
 
0.9%
6 229
 
0.9%
Latin
ValueCountFrequency (%)
C 1569
25.0%
D 1569
25.0%
F 1569
25.0%
H 1569
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 31380
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 12844
40.9%
3 3606
 
11.5%
2 3306
 
10.5%
1 3023
 
9.6%
C 1569
 
5.0%
D 1569
 
5.0%
F 1569
 
5.0%
H 1569
 
5.0%
9 926
 
3.0%
4 318
 
1.0%
Other values (4) 1081
 
3.4%

인허가일자
Real number (ℝ)

Distinct1312
Distinct (%)83.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20052362
Minimum19720503
Maximum20210323
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2024-04-18T18:25:57.862340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19720503
5-th percentile19890731
Q119991216
median20040803
Q320130913
95-th percentile20200407
Maximum20210323
Range489820
Interquartile range (IQR)139697

Descriptive statistics

Standard deviation94394.438
Coefficient of variation (CV)0.0047073975
Kurtosis-0.41446447
Mean20052362
Median Absolute Deviation (MAD)69781
Skewness-0.23528101
Sum3.1462156 × 1010
Variance8.9103099 × 109
MonotonicityNot monotonic
2024-04-18T18:25:57.998131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20030204 76
 
4.8%
19890731 17
 
1.1%
20030124 17
 
1.1%
19891116 9
 
0.6%
20200406 4
 
0.3%
20090326 4
 
0.3%
19910416 3
 
0.2%
20151119 3
 
0.2%
19810905 3
 
0.2%
20200303 3
 
0.2%
Other values (1302) 1430
91.1%
ValueCountFrequency (%)
19720503 1
0.1%
19750416 1
0.1%
19750503 1
0.1%
19750519 1
0.1%
19770203 1
0.1%
19790830 1
0.1%
19800909 1
0.1%
19810110 1
0.1%
19810409 1
0.1%
19810516 1
0.1%
ValueCountFrequency (%)
20210323 1
0.1%
20210312 1
0.1%
20210310 1
0.1%
20210305 1
0.1%
20210224 1
0.1%
20210223 1
0.1%
20210217 2
0.1%
20210216 1
0.1%
20210215 1
0.1%
20210202 1
0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1569
Missing (%)100.0%
Memory size13.9 KiB

영업상태구분코드
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size12.4 KiB
1
903 
3
574 
4
 
89
2
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 903
57.6%
3 574
36.6%
4 89
 
5.7%
2 3
 
0.2%

Length

2024-04-18T18:25:58.116589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T18:25:58.210263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 903
57.6%
3 574
36.6%
4 89
 
5.7%
2 3
 
0.2%

영업상태명
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size12.4 KiB
영업/정상
903 
폐업
574 
취소/말소/만료/정지/중지
 
89
휴업
 
3

Length

Max length14
Median length5
Mean length4.4072658
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row폐업
2nd row폐업
3rd row영업/정상
4th row영업/정상
5th row영업/정상

Common Values

ValueCountFrequency (%)
영업/정상 903
57.6%
폐업 574
36.6%
취소/말소/만료/정지/중지 89
 
5.7%
휴업 3
 
0.2%

Length

2024-04-18T18:25:58.336374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T18:25:58.432173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 903
57.6%
폐업 574
36.6%
취소/말소/만료/정지/중지 89
 
5.7%
휴업 3
 
0.2%

상세영업상태코드
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size12.4 KiB
13
903 
3
574 
35
 
89
2
 
3

Length

Max length2
Median length2
Mean length1.6322498
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row13
4th row13
5th row13

Common Values

ValueCountFrequency (%)
13 903
57.6%
3 574
36.6%
35 89
 
5.7%
2 3
 
0.2%

Length

2024-04-18T18:25:58.534741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T18:25:58.630985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 903
57.6%
3 574
36.6%
35 89
 
5.7%
2 3
 
0.2%

상세영업상태명
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size12.4 KiB
영업중
903 
폐업
574 
직권말소
 
89
휴업
 
3

Length

Max length4
Median length3
Mean length2.6889739
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 903
57.6%
폐업 574
36.6%
직권말소 89
 
5.7%
휴업 3
 
0.2%

Length

2024-04-18T18:25:58.741285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T18:25:58.841004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 903
57.6%
폐업 574
36.6%
직권말소 89
 
5.7%
휴업 3
 
0.2%

폐업일자
Real number (ℝ)

MISSING 

Distinct508
Distinct (%)78.5%
Missing922
Missing (%)58.8%
Infinite0
Infinite (%)0.0%
Mean20115778
Minimum19910106
Maximum20210315
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2024-04-18T18:25:58.982259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19910106
5-th percentile20031047
Q120070828
median20111004
Q320161121
95-th percentile20200280
Maximum20210315
Range300209
Interquartile range (IQR)90292.5

Descriptive statistics

Standard deviation53434.398
Coefficient of variation (CV)0.0026563426
Kurtosis-0.623008
Mean20115778
Median Absolute Deviation (MAD)40587
Skewness-0.19741968
Sum1.3014908 × 1010
Variance2.8552349 × 109
MonotonicityNot monotonic
2024-04-18T18:25:59.112998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20161121 13
 
0.8%
20131127 11
 
0.7%
20150127 10
 
0.6%
20040504 8
 
0.5%
20110728 7
 
0.4%
20110615 5
 
0.3%
20021212 5
 
0.3%
20130819 5
 
0.3%
20191231 4
 
0.3%
20061215 4
 
0.3%
Other values (498) 575
36.6%
(Missing) 922
58.8%
ValueCountFrequency (%)
19910106 1
0.1%
19980105 1
0.1%
19981220 1
0.1%
19990115 1
0.1%
19990210 1
0.1%
19990222 1
0.1%
19990325 1
0.1%
19990402 1
0.1%
19990601 1
0.1%
19990630 1
0.1%
ValueCountFrequency (%)
20210315 1
0.1%
20210311 1
0.1%
20210303 1
0.1%
20210210 1
0.1%
20210208 1
0.1%
20201230 1
0.1%
20201228 1
0.1%
20201223 1
0.1%
20201211 2
0.1%
20201209 1
0.1%

휴업시작일자
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size12.4 KiB
<NA>
1566 
20130122
 
1
20171025
 
1
20090123
 
1

Length

Max length8
Median length4
Mean length4.0076482
Min length4

Unique

Unique3 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1566
99.8%
20130122 1
 
0.1%
20171025 1
 
0.1%
20090123 1
 
0.1%

Length

2024-04-18T18:25:59.261079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T18:25:59.371406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1566
99.8%
20130122 1
 
0.1%
20171025 1
 
0.1%
20090123 1
 
0.1%

휴업종료일자
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size12.4 KiB
<NA>
1566 
20130714
 
1
20181025
 
1
20100123
 
1

Length

Max length8
Median length4
Mean length4.0076482
Min length4

Unique

Unique3 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1566
99.8%
20130714 1
 
0.1%
20181025 1
 
0.1%
20100123 1
 
0.1%

Length

2024-04-18T18:25:59.487902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T18:25:59.595685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1566
99.8%
20130714 1
 
0.1%
20181025 1
 
0.1%
20100123 1
 
0.1%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1569
Missing (%)100.0%
Memory size13.9 KiB

소재지전화
Text

MISSING 

Distinct1073
Distinct (%)94.8%
Missing437
Missing (%)27.9%
Memory size12.4 KiB
2024-04-18T18:25:59.803078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length8
Mean length9.860424
Min length5

Characters and Unicode

Total characters11162
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1019 ?
Unique (%)90.0%

Sample

1st row463-0374
2nd row442-6288
3rd row051-254-7709
4th row051-442-6288
5th row051-465-1229
ValueCountFrequency (%)
051-701-9559 3
 
0.3%
051-868-8228 3
 
0.3%
516-7068 3
 
0.3%
335-2863 3
 
0.3%
051-747-0064 3
 
0.3%
051 3
 
0.3%
337-1460 2
 
0.2%
051-783-2898 2
 
0.2%
207-4770 2
 
0.2%
205-8258 2
 
0.2%
Other values (1066) 1111
97.7%
2024-04-18T18:26:00.459272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1619
14.5%
5 1518
13.6%
0 1250
11.2%
1 1250
11.2%
2 988
8.9%
3 899
8.1%
7 869
7.8%
8 820
7.3%
6 743
6.7%
4 678
6.1%
Other values (3) 528
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9525
85.3%
Dash Punctuation 1619
 
14.5%
Close Punctuation 13
 
0.1%
Space Separator 5
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 1518
15.9%
0 1250
13.1%
1 1250
13.1%
2 988
10.4%
3 899
9.4%
7 869
9.1%
8 820
8.6%
6 743
7.8%
4 678
7.1%
9 510
 
5.4%
Dash Punctuation
ValueCountFrequency (%)
- 1619
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 11162
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1619
14.5%
5 1518
13.6%
0 1250
11.2%
1 1250
11.2%
2 988
8.9%
3 899
8.1%
7 869
7.8%
8 820
7.3%
6 743
6.7%
4 678
6.1%
Other values (3) 528
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11162
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1619
14.5%
5 1518
13.6%
0 1250
11.2%
1 1250
11.2%
2 988
8.9%
3 899
8.1%
7 869
7.8%
8 820
7.3%
6 743
6.7%
4 678
6.1%
Other values (3) 528
 
4.7%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1569
Missing (%)100.0%
Memory size13.9 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct481
Distinct (%)48.2%
Missing571
Missing (%)36.4%
Infinite0
Infinite (%)0.0%
Mean611750.64
Minimum600083
Maximum619963
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2024-04-18T18:26:00.597588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum600083
5-th percentile604624.05
Q1607842
median612060.5
Q3616801
95-th percentile619757.4
Maximum619963
Range19880
Interquartile range (IQR)8959

Descriptive statistics

Standard deviation4821.1768
Coefficient of variation (CV)0.007880951
Kurtosis-0.87348157
Mean611750.64
Median Absolute Deviation (MAD)4223.5
Skewness-0.17750473
Sum6.1052714 × 108
Variance23243746
MonotonicityNot monotonic
2024-04-18T18:26:00.742188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
619963 14
 
0.9%
619903 10
 
0.6%
616852 10
 
0.6%
607837 10
 
0.6%
608838 8
 
0.5%
616845 8
 
0.5%
619901 7
 
0.4%
612843 7
 
0.4%
611803 7
 
0.4%
611812 7
 
0.4%
Other values (471) 910
58.0%
(Missing) 571
36.4%
ValueCountFrequency (%)
600083 1
0.1%
600093 1
0.1%
600110 1
0.1%
601013 1
0.1%
601803 1
0.1%
601806 1
0.1%
601808 1
0.1%
601809 1
0.1%
601812 1
0.1%
601814 2
0.1%
ValueCountFrequency (%)
619963 14
0.9%
619962 6
0.4%
619961 2
 
0.1%
619953 1
 
0.1%
619952 1
 
0.1%
619912 1
 
0.1%
619906 1
 
0.1%
619905 5
 
0.3%
619903 10
0.6%
619902 1
 
0.1%

소재지전체주소
Text

MISSING 

Distinct1497
Distinct (%)97.0%
Missing26
Missing (%)1.7%
Memory size12.4 KiB
2024-04-18T18:26:01.091192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length44
Mean length24.922878
Min length13

Characters and Unicode

Total characters38456
Distinct characters327
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

Unique1454 ?
Unique (%)94.2%

Sample

1st row부산광역시 중구 대청동3가 4-3번지
2nd row부산광역시 중구 영주동 280번지
3rd row부산광역시 중구 대청동4가 79-1 새들맨션
4th row부산광역시 중구 보수동1가 26-16 2층
5th row부산광역시 중구 영주동 161
ValueCountFrequency (%)
부산광역시 1543
 
20.9%
해운대구 180
 
2.4%
북구 158
 
2.1%
부산진구 149
 
2.0%
동래구 139
 
1.9%
남구 130
 
1.8%
금정구 129
 
1.7%
사하구 129
 
1.7%
2층 111
 
1.5%
사상구 103
 
1.4%
Other values (2098) 4611
62.5%
2024-04-18T18:26:01.604912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5841
 
15.2%
산 1816
 
4.7%
동 1808
 
4.7%
부 1771
 
4.6%
1 1708
 
4.4%
광 1577
 
4.1%
시 1564
 
4.1%
역 1544
 
4.0%
구 1529
 
4.0%
지 1424
 
3.7%
Other values (317) 17874
46.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 22874
59.5%
Decimal Number 8215
 
21.4%
Space Separator 5841
 
15.2%
Dash Punctuation 1353
 
3.5%
Uppercase Letter 58
 
0.2%
Other Punctuation 50
 
0.1%
Close Punctuation 26
 
0.1%
Open Punctuation 26
 
0.1%
Math Symbol 12
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 1816
 
7.9%
동 1808
 
7.9%
부 1771
 
7.7%
광 1577
 
6.9%
시 1564
 
6.8%
역 1544
 
6.8%
구 1529
 
6.7%
지 1424
 
6.2%
번 1276
 
5.6%
대 363
 
1.6%
Other values (282) 8202
35.9%
Uppercase Letter
ValueCountFrequency (%)
B 12
20.7%
A 9
15.5%
S 6
10.3%
P 5
8.6%
K 4
 
6.9%
T 4
 
6.9%
G 4
 
6.9%
I 3
 
5.2%
Z 2
 
3.4%
L 2
 
3.4%
Other values (6) 7
12.1%
Decimal Number
ValueCountFrequency (%)
1 1708
20.8%
2 1262
15.4%
3 928
11.3%
4 803
9.8%
0 731
8.9%
5 709
8.6%
7 568
 
6.9%
6 541
 
6.6%
8 514
 
6.3%
9 451
 
5.5%
Other Punctuation
ValueCountFrequency (%)
, 39
78.0%
. 6
 
12.0%
@ 5
 
10.0%
Space Separator
ValueCountFrequency (%)
5841
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1353
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%
Math Symbol
ValueCountFrequency (%)
~ 12
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 22874
59.5%
Common 15523
40.4%
Latin 59
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 1816
 
7.9%
동 1808
 
7.9%
부 1771
 
7.7%
광 1577
 
6.9%
시 1564
 
6.8%
역 1544
 
6.8%
구 1529
 
6.7%
지 1424
 
6.2%
번 1276
 
5.6%
대 363
 
1.6%
Other values (282) 8202
35.9%
Common
ValueCountFrequency (%)
5841
37.6%
1 1708
 
11.0%
- 1353
 
8.7%
2 1262
 
8.1%
3 928
 
6.0%
4 803
 
5.2%
0 731
 
4.7%
5 709
 
4.6%
7 568
 
3.7%
6 541
 
3.5%
Other values (8) 1079
 
7.0%
Latin
ValueCountFrequency (%)
B 12
20.3%
A 9
15.3%
S 6
10.2%
P 5
8.5%
K 4
 
6.8%
T 4
 
6.8%
G 4
 
6.8%
I 3
 
5.1%
Z 2
 
3.4%
L 2
 
3.4%
Other values (7) 8
13.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 22874
59.5%
ASCII 15582
40.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5841
37.5%
1 1708
 
11.0%
- 1353
 
8.7%
2 1262
 
8.1%
3 928
 
6.0%
4 803
 
5.2%
0 731
 
4.7%
5 709
 
4.6%
7 568
 
3.6%
6 541
 
3.5%
Other values (25) 1138
 
7.3%
Hangul
ValueCountFrequency (%)
산 1816
 
7.9%
동 1808
 
7.9%
부 1771
 
7.7%
광 1577
 
6.9%
시 1564
 
6.8%
역 1544
 
6.8%
구 1529
 
6.7%
지 1424
 
6.2%
번 1276
 
5.6%
대 363
 
1.6%
Other values (282) 8202
35.9%

도로명전체주소
Text

MISSING 

Distinct1491
Distinct (%)98.2%
Missing50
Missing (%)3.2%
Memory size12.4 KiB
2024-04-18T18:26:01.968615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length50
Mean length30.499013
Min length17

Characters and Unicode

Total characters46328
Distinct characters401
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

Unique1464 ?
Unique (%)96.4%

Sample

1st row부산광역시 중구 중구로62번길 12 (대청동3가)
2nd row부산광역시 중구 중구로 81, 3층 (대청동4가, 새들맨션)
3rd row부산광역시 중구 흑교로 78 (보수동1가)
4th row부산광역시 중구 영주로 51 (영주동, 금호타운)
5th row부산광역시 중구 망양로 396 (영주동)
ValueCountFrequency (%)
부산광역시 1519
 
17.1%
해운대구 179
 
2.0%
2층 162
 
1.8%
북구 154
 
1.7%
부산진구 144
 
1.6%
사하구 137
 
1.5%
동래구 135
 
1.5%
남구 128
 
1.4%
금정구 126
 
1.4%
3층 117
 
1.3%
Other values (2024) 6092
68.5%
2024-04-18T18:26:02.460944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7751
 
16.7%
동 1934
 
4.2%
산 1819
 
3.9%
부 1748
 
3.8%
시 1615
 
3.5%
광 1586
 
3.4%
구 1524
 
3.3%
역 1520
 
3.3%
로 1506
 
3.3%
) 1457
 
3.1%
Other values (391) 23868
51.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 27086
58.5%
Space Separator 7751
 
16.7%
Decimal Number 7163
 
15.5%
Close Punctuation 1457
 
3.1%
Open Punctuation 1457
 
3.1%
Other Punctuation 1159
 
2.5%
Dash Punctuation 175
 
0.4%
Uppercase Letter 57
 
0.1%
Lowercase Letter 13
 
< 0.1%
Math Symbol 10
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1934
 
7.1%
산 1819
 
6.7%
부 1748
 
6.5%
시 1615
 
6.0%
광 1586
 
5.9%
구 1524
 
5.6%
역 1520
 
5.6%
로 1506
 
5.6%
대 664
 
2.5%
길 575
 
2.1%
Other values (346) 12595
46.5%
Uppercase Letter
ValueCountFrequency (%)
B 14
24.6%
A 8
14.0%
P 5
 
8.8%
S 5
 
8.8%
K 5
 
8.8%
I 3
 
5.3%
G 3
 
5.3%
D 2
 
3.5%
O 2
 
3.5%
L 2
 
3.5%
Other values (6) 8
14.0%
Decimal Number
ValueCountFrequency (%)
1 1384
19.3%
2 1206
16.8%
3 931
13.0%
0 754
10.5%
4 696
9.7%
5 562
7.8%
6 486
 
6.8%
7 427
 
6.0%
8 396
 
5.5%
9 321
 
4.5%
Lowercase Letter
ValueCountFrequency (%)
s 2
15.4%
e 2
15.4%
a 2
15.4%
z 1
7.7%
l 1
7.7%
v 1
7.7%
k 1
7.7%
w 1
7.7%
i 1
7.7%
m 1
7.7%
Other Punctuation
ValueCountFrequency (%)
, 1151
99.3%
@ 4
 
0.3%
· 2
 
0.2%
. 2
 
0.2%
Space Separator
ValueCountFrequency (%)
7751
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1457
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1457
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 175
100.0%
Math Symbol
ValueCountFrequency (%)
~ 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 27086
58.5%
Common 19172
41.4%
Latin 70
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1934
 
7.1%
산 1819
 
6.7%
부 1748
 
6.5%
시 1615
 
6.0%
광 1586
 
5.9%
구 1524
 
5.6%
역 1520
 
5.6%
로 1506
 
5.6%
대 664
 
2.5%
길 575
 
2.1%
Other values (346) 12595
46.5%
Latin
ValueCountFrequency (%)
B 14
20.0%
A 8
 
11.4%
P 5
 
7.1%
S 5
 
7.1%
K 5
 
7.1%
I 3
 
4.3%
G 3
 
4.3%
s 2
 
2.9%
D 2
 
2.9%
O 2
 
2.9%
Other values (16) 21
30.0%
Common
ValueCountFrequency (%)
7751
40.4%
) 1457
 
7.6%
( 1457
 
7.6%
1 1384
 
7.2%
2 1206
 
6.3%
, 1151
 
6.0%
3 931
 
4.9%
0 754
 
3.9%
4 696
 
3.6%
5 562
 
2.9%
Other values (9) 1823
 
9.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 27086
58.5%
ASCII 19240
41.5%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7751
40.3%
) 1457
 
7.6%
( 1457
 
7.6%
1 1384
 
7.2%
2 1206
 
6.3%
, 1151
 
6.0%
3 931
 
4.8%
0 754
 
3.9%
4 696
 
3.6%
5 562
 
2.9%
Other values (34) 1891
 
9.8%
Hangul
ValueCountFrequency (%)
동 1934
 
7.1%
산 1819
 
6.7%
부 1748
 
6.5%
시 1615
 
6.0%
광 1586
 
5.9%
구 1524
 
5.6%
역 1520
 
5.6%
로 1506
 
5.6%
대 664
 
2.5%
길 575
 
2.1%
Other values (346) 12595
46.5%
None
ValueCountFrequency (%)
· 2
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct677
Distinct (%)69.3%
Missing592
Missing (%)37.7%
Infinite0
Infinite (%)0.0%
Mean98509.322
Minimum46004
Maximum619963
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2024-04-18T18:26:02.602997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46004
5-th percentile46048
Q146743
median47603
Q348516
95-th percentile612193.6
Maximum619963
Range573959
Interquartile range (IQR)1773

Descriptive statistics

Standard deviation162076.97
Coefficient of variation (CV)1.6452957
Kurtosis6.2425477
Mean98509.322
Median Absolute Deviation (MAD)877
Skewness2.8684896
Sum96243608
Variance2.6268943 × 1010
MonotonicityNot monotonic
2024-04-18T18:26:02.733509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
46726 32
 
2.0%
46008 11
 
0.7%
46764 7
 
0.4%
46759 7
 
0.4%
46061 6
 
0.4%
47744 6
 
0.4%
46017 6
 
0.4%
48111 5
 
0.3%
46219 5
 
0.3%
48051 5
 
0.3%
Other values (667) 887
56.5%
(Missing) 592
37.7%
ValueCountFrequency (%)
46004 1
 
0.1%
46007 1
 
0.1%
46008 11
0.7%
46011 1
 
0.1%
46012 4
 
0.3%
46013 3
 
0.2%
46014 2
 
0.1%
46015 4
 
0.3%
46016 1
 
0.1%
46017 6
0.4%
ValueCountFrequency (%)
619963 1
 
0.1%
619962 3
0.2%
619905 1
 
0.1%
619903 4
0.3%
619901 2
0.1%
619873 1
 
0.1%
619733 1
 
0.1%
618815 1
 
0.1%
618814 4
0.3%
618290 1
 
0.1%

사업장명
Text

Distinct1437
Distinct (%)91.6%
Missing0
Missing (%)0.0%
Memory size12.4 KiB
2024-04-18T18:26:03.024333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length23
Mean length6.987253
Min length2

Characters and Unicode

Total characters10963
Distinct characters444
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1336 ?
Unique (%)85.1%

Sample

1st row용두체육관
2nd row세림태권도 체육관
3rd row대한태권도
4th row비룡체육관
5th row세림태권도체육관
ValueCountFrequency (%)
태권도 114
 
5.3%
태권도장 63
 
2.9%
체육관 28
 
1.3%
동아대 22
 
1.0%
합기도 22
 
1.0%
승리마루 19
 
0.9%
용인대 13
 
0.6%
검도관 12
 
0.6%
복싱 11
 
0.5%
boxing 7
 
0.3%
Other values (1522) 1834
85.5%
2024-04-18T18:26:03.479105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
도 981
 
8.9%
관 746
 
6.8%
태 703
 
6.4%
권 685
 
6.2%
576
 
5.3%
육 567
 
5.2%
체 557
 
5.1%
장 301
 
2.7%
대 191
 
1.7%
동 144
 
1.3%
Other values (434) 5512
50.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9816
89.5%
Space Separator 576
 
5.3%
Uppercase Letter 288
 
2.6%
Decimal Number 70
 
0.6%
Lowercase Letter 70
 
0.6%
Close Punctuation 60
 
0.5%
Open Punctuation 60
 
0.5%
Other Punctuation 17
 
0.2%
Dash Punctuation 3
 
< 0.1%
Modifier Symbol 1
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 981
 
10.0%
관 746
 
7.6%
태 703
 
7.2%
권 685
 
7.0%
육 567
 
5.8%
체 557
 
5.7%
장 301
 
3.1%
대 191
 
1.9%
동 144
 
1.5%
유 132
 
1.3%
Other values (371) 4809
49.0%
Uppercase Letter
ValueCountFrequency (%)
M 36
12.5%
A 34
11.8%
T 34
11.8%
K 20
 
6.9%
G 20
 
6.9%
B 19
 
6.6%
S 17
 
5.9%
E 14
 
4.9%
I 12
 
4.2%
N 11
 
3.8%
Other values (14) 71
24.7%
Lowercase Letter
ValueCountFrequency (%)
i 11
15.7%
o 8
11.4%
e 5
 
7.1%
b 5
 
7.1%
n 5
 
7.1%
g 5
 
7.1%
x 4
 
5.7%
l 4
 
5.7%
m 4
 
5.7%
u 3
 
4.3%
Other values (10) 16
22.9%
Decimal Number
ValueCountFrequency (%)
2 33
47.1%
1 16
22.9%
3 11
 
15.7%
7 3
 
4.3%
9 3
 
4.3%
5 2
 
2.9%
4 2
 
2.9%
Other Punctuation
ValueCountFrequency (%)
. 12
70.6%
& 2
 
11.8%
' 1
 
5.9%
· 1
 
5.9%
, 1
 
5.9%
Space Separator
ValueCountFrequency (%)
576
100.0%
Close Punctuation
ValueCountFrequency (%)
) 60
100.0%
Open Punctuation
ValueCountFrequency (%)
( 60
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%
Other Number
ValueCountFrequency (%)
② 1
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9816
89.5%
Common 788
 
7.2%
Latin 358
 
3.3%
Greek 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 981
 
10.0%
관 746
 
7.6%
태 703
 
7.2%
권 685
 
7.0%
육 567
 
5.8%
체 557
 
5.7%
장 301
 
3.1%
대 191
 
1.9%
동 144
 
1.5%
유 132
 
1.3%
Other values (371) 4809
49.0%
Latin
ValueCountFrequency (%)
M 36
 
10.1%
A 34
 
9.5%
T 34
 
9.5%
K 20
 
5.6%
G 20
 
5.6%
B 19
 
5.3%
S 17
 
4.7%
E 14
 
3.9%
I 12
 
3.4%
i 11
 
3.1%
Other values (34) 141
39.4%
Common
ValueCountFrequency (%)
576
73.1%
) 60
 
7.6%
( 60
 
7.6%
2 33
 
4.2%
1 16
 
2.0%
. 12
 
1.5%
3 11
 
1.4%
7 3
 
0.4%
9 3
 
0.4%
- 3
 
0.4%
Other values (8) 11
 
1.4%
Greek
ValueCountFrequency (%)
α 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9816
89.5%
ASCII 1143
 
10.4%
None 2
 
< 0.1%
Enclosed Alphanum 1
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
도 981
 
10.0%
관 746
 
7.6%
태 703
 
7.2%
권 685
 
7.0%
육 567
 
5.8%
체 557
 
5.7%
장 301
 
3.1%
대 191
 
1.9%
동 144
 
1.5%
유 132
 
1.3%
Other values (371) 4809
49.0%
ASCII
ValueCountFrequency (%)
576
50.4%
) 60
 
5.2%
( 60
 
5.2%
M 36
 
3.1%
A 34
 
3.0%
T 34
 
3.0%
2 33
 
2.9%
K 20
 
1.7%
G 20
 
1.7%
B 19
 
1.7%
Other values (49) 251
22.0%
Enclosed Alphanum
ValueCountFrequency (%)
② 1
100.0%
None
ValueCountFrequency (%)
α 1
50.0%
· 1
50.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

최종수정시점
Real number (ℝ)

Distinct1568
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0156264 × 1013
Minimum2.0021018 × 1013
Maximum2.0210329 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2024-04-18T18:26:03.633381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0021018 × 1013
5-th percentile2.0060414 × 1013
Q12.0121116 × 1013
median2.0170607 × 1013
Q32.0200221 × 1013
95-th percentile2.0201211 × 1013
Maximum2.0210329 × 1013
Range1.8931102 × 1011
Interquartile range (IQR)7.9104976 × 1010

Descriptive statistics

Standard deviation4.8128474 × 1010
Coefficient of variation (CV)0.0023877675
Kurtosis-0.10293439
Mean2.0156264 × 1013
Median Absolute Deviation (MAD)2.9899939 × 1010
Skewness-0.96107283
Sum3.1625179 × 1016
Variance2.31635 × 1021
MonotonicityNot monotonic
2024-04-18T18:26:03.779105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20021018132120 2
 
0.1%
20100901094211 1
 
0.1%
20130422171102 1
 
0.1%
20151110084919 1
 
0.1%
20150626131655 1
 
0.1%
20180627111054 1
 
0.1%
20181122141241 1
 
0.1%
20150310094043 1
 
0.1%
20180727155003 1
 
0.1%
20140129182821 1
 
0.1%
Other values (1558) 1558
99.3%
ValueCountFrequency (%)
20021018132120 2
0.1%
20030130163847 1
0.1%
20030130164017 1
0.1%
20030203092900 1
0.1%
20030203093033 1
0.1%
20030203093230 1
0.1%
20030203093430 1
0.1%
20030203093558 1
0.1%
20030203093735 1
0.1%
20030203093949 1
0.1%
ValueCountFrequency (%)
20210329151549 1
0.1%
20210325160224 1
0.1%
20210324160914 1
0.1%
20210323102544 1
0.1%
20210318164747 1
0.1%
20210317161702 1
0.1%
20210315184130 1
0.1%
20210315173938 1
0.1%
20210312115913 1
0.1%
20210311183428 1
0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.4 KiB
I
1033 
U
536 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 1033
65.8%
U 536
34.2%

Length

2024-04-18T18:26:03.929026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T18:26:04.023881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 1033
65.8%
u 536
34.2%

데이터갱신일자
Date

Distinct346
Distinct (%)22.1%
Missing0
Missing (%)0.0%
Memory size12.4 KiB
Minimum2018-08-31 23:59:59
Maximum2021-03-31 02:40:00
2024-04-18T18:26:04.129978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T18:26:04.267322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

Distinct8
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size12.4 KiB
<NA>
835 
태권도
482 
합기도
 
70
권투
 
70
검도
 
48
Other values (3)
 
64

Length

Max length4
Median length4
Mean length3.4219248
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 835
53.2%
태권도 482
30.7%
합기도 70
 
4.5%
권투 70
 
4.5%
검도 48
 
3.1%
유도 47
 
3.0%
레슬링 9
 
0.6%
우슈 8
 
0.5%

Length

2024-04-18T18:26:04.406127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T18:26:04.518388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 835
53.2%
태권도 482
30.7%
합기도 70
 
4.5%
권투 70
 
4.5%
검도 48
 
3.1%
유도 47
 
3.0%
레슬링 9
 
0.6%
우슈 8
 
0.5%

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct1370
Distinct (%)89.3%
Missing34
Missing (%)2.2%
Infinite0
Infinite (%)0.0%
Mean387694.14
Minimum366778.84
Maximum407631.55
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2024-04-18T18:26:04.658883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum366778.84
5-th percentile378043.9
Q1383150.88
median388538.53
Q3391840.25
95-th percentile398170.15
Maximum407631.55
Range40852.708
Interquartile range (IQR)8689.3671

Descriptive statistics

Standard deviation6367.0193
Coefficient of variation (CV)0.01642279
Kurtosis0.066402348
Mean387694.14
Median Absolute Deviation (MAD)4238.7139
Skewness-0.14647894
Sum5.951105 × 108
Variance40538934
MonotonicityNot monotonic
2024-04-18T18:26:04.800901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
379137.720990997 4
 
0.3%
398461.813174819 4
 
0.3%
392625.116708019 3
 
0.2%
385476.912682386 3
 
0.2%
387144.17668815 3
 
0.2%
383331.597068707 3
 
0.2%
389966.426398582 3
 
0.2%
389870.966031151 3
 
0.2%
383742.450934014 3
 
0.2%
390630.757426041 3
 
0.2%
Other values (1360) 1503
95.8%
(Missing) 34
 
2.2%
ValueCountFrequency (%)
366778.837130241 1
0.1%
366854.076165373 1
0.1%
366931.435995074 1
0.1%
367938.20080535 1
0.1%
370949.59316783 1
0.1%
371014.893311675 1
0.1%
371138.97649133 1
0.1%
371173.79944234 1
0.1%
371173.90939644 1
0.1%
371178.823833358 2
0.1%
ValueCountFrequency (%)
407631.545429356 1
0.1%
407422.0 1
0.1%
407303.1507896 1
0.1%
403889.087057055 1
0.1%
403252.94343102 1
0.1%
403186.431834992 1
0.1%
401965.153140287 1
0.1%
401838.116864007 2
0.1%
401826.181310319 1
0.1%
401736.64337849 1
0.1%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct1370
Distinct (%)89.3%
Missing34
Missing (%)2.2%
Infinite0
Infinite (%)0.0%
Mean187866.38
Minimum173961.91
Maximum206353.86
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2024-04-18T18:26:04.934914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum173961.91
5-th percentile177565.2
Q1183114.35
median188004.95
Q3191707.3
95-th percentile198059.9
Maximum206353.86
Range32391.941
Interquartile range (IQR)8592.9552

Descriptive statistics

Standard deviation6562.6734
Coefficient of variation (CV)0.034932666
Kurtosis0.12876598
Mean187866.38
Median Absolute Deviation (MAD)4069.6825
Skewness0.28093484
Sum2.8837489 × 108
Variance43068682
MonotonicityNot monotonic
2024-04-18T18:26:05.059958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
177138.351830749 4
 
0.3%
187579.129294703 4
 
0.3%
191209.765404049 3
 
0.2%
191904.639301973 3
 
0.2%
190534.020672018 3
 
0.2%
195401.595703414 3
 
0.2%
196676.597129631 3
 
0.2%
195622.043924549 3
 
0.2%
197937.041947078 3
 
0.2%
183935.272085182 3
 
0.2%
Other values (1360) 1503
95.8%
(Missing) 34
 
2.2%
ValueCountFrequency (%)
173961.914773076 1
 
0.1%
174072.895685053 1
 
0.1%
174097.616386311 1
 
0.1%
174101.406639044 1
 
0.1%
174140.916066183 1
 
0.1%
174156.617297535 1
 
0.1%
174211.496764498 3
0.2%
174289.976688419 1
 
0.1%
174307.148168245 1
 
0.1%
174318.242016198 1
 
0.1%
ValueCountFrequency (%)
206353.855586145 1
0.1%
206184.609573703 1
0.1%
206134.318753731 1
0.1%
206086.593324435 2
0.1%
206070.223360046 2
0.1%
206060.329231 1
0.1%
206050.413444558 1
0.1%
206042.801652498 1
0.1%
206032.510131941 1
0.1%
206029.122466099 2
0.1%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.4 KiB
체육도장업
1569 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
체육도장업 1569
100.0%

Length

2024-04-18T18:26:05.188998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T18:26:05.310860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
체육도장업 1569
100.0%

공사립구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.4 KiB
사립
1568 
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 1568
99.9%
공립 1
 
0.1%

Length

2024-04-18T18:26:05.405978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T18:26:05.496615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 1568
99.9%
공립 1
 
0.1%

보험가입여부코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size12.4 KiB
<NA>
1266 
0
288 
Y
 
13
1
 
2

Length

Max length4
Median length4
Mean length3.4206501
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1266
80.7%
0 288
 
18.4%
Y 13
 
0.8%
1 2
 
0.1%

Length

2024-04-18T18:26:05.604039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T18:26:05.710776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1266
80.7%
0 288
 
18.4%
y 13
 
0.8%
1 2
 
0.1%

지도자수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size12.4 KiB
<NA>
974 
1
577 
2
 
14
0
 
3
3
 
1

Length

Max length4
Median length4
Mean length2.8623327
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> 974
62.1%
1 577
36.8%
2 14
 
0.9%
0 3
 
0.2%
3 1
 
0.1%

Length

2024-04-18T18:26:05.821284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T18:26:05.922040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 974
62.1%
1 577
36.8%
2 14
 
0.9%
0 3
 
0.2%
3 1
 
0.1%

건축물동수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)2.3%
Missing1311
Missing (%)83.6%
Infinite0
Infinite (%)0.0%
Mean1.0155039
Minimum0
Maximum8
Zeros20
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2024-04-18T18:26:06.013356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.65404454
Coefficient of variation (CV)0.64405913
Kurtosis55.460378
Mean1.0155039
Median Absolute Deviation (MAD)0
Skewness5.9552048
Sum262
Variance0.42777426
MonotonicityNot monotonic
2024-04-18T18:26:06.110418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 229
 
14.6%
0 20
 
1.3%
4 3
 
0.2%
3 3
 
0.2%
2 2
 
0.1%
8 1
 
0.1%
(Missing) 1311
83.6%
ValueCountFrequency (%)
0 20
 
1.3%
1 229
14.6%
2 2
 
0.1%
3 3
 
0.2%
4 3
 
0.2%
8 1
 
0.1%
ValueCountFrequency (%)
8 1
 
0.1%
4 3
 
0.2%
3 3
 
0.2%
2 2
 
0.1%
1 229
14.6%
0 20
 
1.3%

건축물연면적
Real number (ℝ)

MISSING  ZEROS 

Distinct754
Distinct (%)90.0%
Missing731
Missing (%)46.6%
Infinite0
Infinite (%)0.0%
Mean958.44415
Minimum0
Maximum44070.28
Zeros18
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2024-04-18T18:26:06.248272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile71.1685
Q1121.4475
median216.32
Q3747.585
95-th percentile2756.964
Maximum44070.28
Range44070.28
Interquartile range (IQR)626.1375

Descriptive statistics

Standard deviation3104.004
Coefficient of variation (CV)3.2385862
Kurtosis94.760686
Mean958.44415
Median Absolute Deviation (MAD)135.305
Skewness8.7619479
Sum803176.2
Variance9634840.9
MonotonicityNot monotonic
2024-04-18T18:26:06.401899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 18
 
1.1%
0.1 13
 
0.8%
99.0 6
 
0.4%
198.0 5
 
0.3%
479.6 3
 
0.2%
231.0 3
 
0.2%
165.0 3
 
0.2%
102.9 2
 
0.1%
594.24 2
 
0.1%
301.14 2
 
0.1%
Other values (744) 781
49.8%
(Missing) 731
46.6%
ValueCountFrequency (%)
0.0 18
1.1%
0.1 13
0.8%
66.0 2
 
0.1%
66.14 1
 
0.1%
66.22 1
 
0.1%
66.85 1
 
0.1%
67.1 1
 
0.1%
68.0 2
 
0.1%
68.4 1
 
0.1%
69.5 1
 
0.1%
ValueCountFrequency (%)
44070.28 1
0.1%
39004.45 1
0.1%
34053.88 1
0.1%
22216.44 1
0.1%
20957.74 1
0.1%
20929.0 1
0.1%
17612.8 1
0.1%
15395.37 1
0.1%
13649.19 1
0.1%
13578.04 1
0.1%

회원모집총인원
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size12.4 KiB
<NA>
1563 
60
 
2
80
 
1
40
 
1
50
 
1

Length

Max length4
Median length4
Mean length3.9923518
Min length2

Unique

Unique4 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1563
99.6%
60 2
 
0.1%
80 1
 
0.1%
40 1
 
0.1%
50 1
 
0.1%
30 1
 
0.1%

Length

2024-04-18T18:26:06.538498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T18:26:06.671368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1563
99.6%
60 2
 
0.1%
80 1
 
0.1%
40 1
 
0.1%
50 1
 
0.1%
30 1
 
0.1%

세부업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1569
Missing (%)100.0%
Memory size13.9 KiB

법인명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1569
Missing (%)100.0%
Memory size13.9 KiB

Unnamed: 37
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1569
Missing (%)100.0%
Memory size13.9 KiB

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명Unnamed: 37
01체육도장업10_41_01_P3250000CDFH330102198900000119890605<NA>3폐업3폐업20100901<NA><NA><NA>463-0374<NA>600093부산광역시 중구 대청동3가 4-3번지부산광역시 중구 중구로62번길 12 (대청동3가)<NA>용두체육관20100901094211I2018-08-31 23:59:59.0<NA>384951.569678180136.728955체육도장업사립<NA><NA><NA>165.0<NA><NA><NA><NA>
12체육도장업10_41_01_P3250000CDFH330102200400000220040628<NA>3폐업3폐업20090105<NA><NA><NA>442-6288<NA>600110부산광역시 중구 영주동 280번지<NA><NA>세림태권도 체육관20090105144038I2018-08-31 23:59:59.0<NA><NA><NA>체육도장업사립0<NA><NA><NA><NA><NA><NA><NA>
23체육도장업10_41_01_P3250000CDFH330102198800000119880407<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 중구 대청동4가 79-1 새들맨션부산광역시 중구 중구로 81, 3층 (대청동4가, 새들맨션)48968대한태권도20201020135636U2020-10-22 02:40:00.0태권도384987.199363180307.391607체육도장업사립<NA><NA><NA>383.86<NA><NA><NA><NA>
34체육도장업10_41_01_P3250000CDFH330102199100000119910724<NA>1영업/정상13영업중<NA><NA><NA><NA>051-254-7709<NA><NA>부산광역시 중구 보수동1가 26-16 2층부산광역시 중구 흑교로 78 (보수동1가)48962비룡체육관20201020135550U2020-10-22 02:40:00.0합기도384431.1043180450.507587체육도장업사립<NA><NA><NA>296.9<NA><NA><NA><NA>
45체육도장업10_41_01_P3250000CDFH330102199400000119940204<NA>1영업/정상13영업중<NA><NA><NA><NA>051-442-6288<NA><NA>부산광역시 중구 영주동 161부산광역시 중구 영주로 51 (영주동, 금호타운)48917세림태권도체육관20201020135659U2020-10-22 02:40:00.0태권도385022.487251181030.095157체육도장업사립<NA><NA><NA>34053.88<NA><NA><NA><NA>
56체육도장업10_41_01_P3250000CDFH330102200200000120020506<NA>1영업/정상13영업중<NA><NA><NA><NA>051-465-1229<NA><NA>부산광역시 중구 영주동 160부산광역시 중구 망양로 396 (영주동)48905정무 체육관20201020135720U2020-10-22 02:40:00.0태권도384985.258495181165.37135체육도장업사립<NA><NA><NA>13649.19<NA><NA><NA><NA>
67체육도장업10_41_01_P3250000CDFH330102200500000120050628<NA>1영업/정상13영업중<NA><NA><NA><NA>051-463-6578<NA><NA>부산광역시 중구 대청동4가 79-1부산광역시 중구 중구로 83 (대청동4가, 새들맨션)48968새들 영주체육관20201020135751U2020-10-22 02:40:00.0태권도384987.199363180307.391607체육도장업사립<NA><NA><NA>17612.8<NA><NA><NA><NA>
78체육도장업10_41_01_P3250000CDFH330102201200000120120709<NA>1영업/정상13영업중<NA><NA><NA><NA>051-255-9980<NA><NA>부산광역시 중구 신창동1가 5-1 9층부산광역시 중구 광복중앙로 25 (신창동1가)48948부산챔프복싱다이어트클럽20201020140014U2020-10-22 02:40:00.0권투385086.342922179937.834288체육도장업사립<NA>216532.23<NA><NA><NA><NA>
89체육도장업10_41_01_P3250000CDFH330102201300000120130903<NA>1영업/정상13영업중<NA><NA><NA><NA>051-242-3870<NA>600083부산광역시 중구 보수동3가 80-2부산광역시 중구 대청로 15, 4층 (보수동3가)48966어검검도관20201020135955U2020-10-22 02:40:00.0검도384247.593397180134.746508체육도장업사립<NA>1<NA>1425.6<NA><NA><NA><NA>
910체육도장업10_41_01_P3250000CDFH330102201500000120151118<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 중구 남포동6가 113-1번지 지하1층부산광역시 중구 구덕로 87-1, 지하1층 (남포동6가)48982부산다이어트 복싱클럽20170831104625I2018-08-31 23:59:59.0권투384708.848958179404.943227체육도장업사립<NA>2<NA><NA><NA><NA><NA><NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명Unnamed: 37
15591560체육도장업10_41_01_P3330000CDFH330102202000000620200914<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 우동 1405 마린파크 211~2호부산광역시 해운대구 마린시티2로 2, 마린파크 2층 211~212호 (우동)48092마리나 검도관20200914155503I2020-09-16 00:23:12.0검도395308.610453186564.639114체육도장업사립<NA><NA><NA>39004.45<NA><NA><NA><NA>
15601561체육도장업10_41_01_P3330000CDFH330102202000000720201028<NA>1영업/정상13영업중<NA><NA><NA><NA>051-544-9194<NA><NA>부산광역시 해운대구 반송동 883 삼한3차아파트부산광역시 해운대구 신반송로 96, 상가1동 1층 (반송동, 삼한3차아파트)48013호림 합기도20201028194232I2020-10-31 00:23:09.0합기도396977.843843194238.336569체육도장업사립<NA><NA><NA>857.01<NA><NA><NA><NA>
15611562체육도장업10_41_01_P3330000CDFH330102202100000320210215<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 좌동 1461-7 영진파스타 403호부산광역시 해운대구 세실로 87, 영진파스타 4층 403호 (좌동)48106사자후 태권도20210215114431I2021-02-17 00:23:02.0태권도398174.624216188059.46199체육도장업사립<NA><NA><NA><NA><NA><NA><NA><NA>
15621563체육도장업10_41_01_P3330000CDFH330102201800000520181031<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 좌동 1479-1번지 웅신시네아트부산광역시 해운대구 해운대로 802, 웅신시네아트 2층 202호 (좌동)48111프리덤 복싱 체육관20181031141737I2018-11-02 02:37:42.0권투398237.363461187720.511057체육도장업사립<NA>1<NA><NA><NA><NA><NA><NA>
15631564체육도장업10_41_01_P3330000CDFH330102202100000120210106<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 반여동 1472-1 세동프라자부산광역시 해운대구 삼어로 48, 세동프라자 2층 202, 203호 (반여동)48046싸이코핏불스20210106222604I2021-01-08 00:23:04.0<NA>392625.116708191209.765404체육도장업사립<NA><NA><NA><NA><NA><NA><NA><NA>
15641565체육도장업10_41_01_P3330000CDFH330102202100000220210114<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 반여동 1632 아시아선수촌프레스센 308호부산광역시 해운대구 반여로 131, 아시아선수촌프레스센 308호 (반여동)48037백호합기도무술관20210114102830I2021-01-16 00:23:15.0<NA>393307.129763191421.760662체육도장업사립<NA><NA><NA><NA><NA><NA><NA><NA>
15651566체육도장업10_41_01_P3330000CDFH330102200100000620011101<NA>4취소/말소/만료/정지/중지35직권말소20191231<NA><NA><NA>051-704-0787<NA>612837부산광역시 해운대구 좌동 1289-6번지부산광역시 해운대구 좌동순환로 182 (좌동)<NA>해오름체육관20191227112939U2019-12-29 02:40:00.0<NA>398156.177484188634.866447체육도장업사립<NA><NA><NA>150.2<NA><NA><NA><NA>
15661567체육도장업10_41_01_P3330000CDFH330102200100000820010924<NA>4취소/말소/만료/정지/중지35직권말소<NA><NA><NA><NA>051-746-8096<NA>612847부산광역시 해운대구 중동 1376-16번지부산광역시 해운대구 중동2로24번길 5 (중동)<NA>해운대체육관20120911105653I2018-08-31 23:59:59.0<NA>397092.897173187130.136014체육도장업사립<NA><NA><NA>131.52<NA><NA><NA><NA>
15671568체육도장업10_41_01_P3330000CDFH330102200000001020001204<NA>4취소/말소/만료/정지/중지35직권말소20191231<NA><NA><NA>051-545-1565<NA>612808부산광역시 해운대구 반송동 879-2번지 반송종합상가 301호부산광역시 해운대구 신반송로 151, 301호 (반송동,반송종합상가)<NA>참좋은 태권도장20191227112039U2019-12-29 02:40:00.0태권도396809.144675194351.13528체육도장업사립<NA><NA><NA>147.96<NA><NA><NA><NA>
15681569체육도장업10_41_01_P3330000CDFH330102200800000820081020<NA>4취소/말소/만료/정지/중지35직권말소20181204<NA><NA><NA>058-569-4704<NA>612836부산광역시 해운대구 좌동 1466-4번지부산광역시 해운대구 세실로 75 (좌동)<NA>사자후20181204113955U2018-12-06 02:40:00.0<NA>398239.876525187950.287933체육도장업사립<NA>1<NA><NA><NA><NA><NA><NA>