Overview

Dataset statistics

Number of variables38
Number of observations1547
Missing cells13903
Missing cells (%)23.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory494.1 KiB
Average record size in memory327.1 B

Variable types

Numeric11
Categorical15
Text5
Unsupported6
DateTime1

Dataset

Description2021-02-01
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 (61.3%)Imbalance
지도자수 is highly imbalanced (55.2%)Imbalance
회원모집총인원 is highly imbalanced (98.2%)Imbalance
인허가취소일자 has 1547 (100.0%) missing valuesMissing
폐업일자 has 905 (58.5%) missing valuesMissing
재개업일자 has 1547 (100.0%) missing valuesMissing
소재지전화 has 424 (27.4%) missing valuesMissing
소재지면적 has 1547 (100.0%) missing valuesMissing
소재지우편번호 has 550 (35.6%) missing valuesMissing
소재지전체주소 has 26 (1.7%) missing valuesMissing
도로명전체주소 has 50 (3.2%) missing valuesMissing
도로명우편번호 has 592 (38.3%) missing valuesMissing
좌표정보(x) has 33 (2.1%) missing valuesMissing
좌표정보(y) has 33 (2.1%) missing valuesMissing
건축물동수 has 1288 (83.3%) missing valuesMissing
건축물연면적 has 720 (46.5%) missing valuesMissing
세부업종명 has 1547 (100.0%) missing valuesMissing
법인명 has 1547 (100.0%) missing valuesMissing
Unnamed: 37 has 1547 (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 (1.2%) zerosZeros

Reproduction

Analysis started2024-04-18 09:22:49.548139
Analysis finished2024-04-18 09:22:50.532946
Duration0.98 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct1547
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean774
Minimum1
Maximum1547
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.7 KiB
2024-04-18T18:22:50.851618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile78.3
Q1387.5
median774
Q31160.5
95-th percentile1469.7
Maximum1547
Range1546
Interquartile range (IQR)773

Descriptive statistics

Standard deviation446.72475
Coefficient of variation (CV)0.57716376
Kurtosis-1.2
Mean774
Median Absolute Deviation (MAD)387
Skewness0
Sum1197378
Variance199563
MonotonicityStrictly increasing
2024-04-18T18:22:50.993124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
1065 1
 
0.1%
1039 1
 
0.1%
1038 1
 
0.1%
1037 1
 
0.1%
1036 1
 
0.1%
1035 1
 
0.1%
1034 1
 
0.1%
1033 1
 
0.1%
1032 1
 
0.1%
Other values (1537) 1537
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 (%)
1547 1
0.1%
1546 1
0.1%
1545 1
0.1%
1544 1
0.1%
1543 1
0.1%
1542 1
0.1%
1541 1
0.1%
1540 1
0.1%
1539 1
0.1%
1538 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.2 KiB
체육도장업
1547 

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 1547
100.0%

Length

2024-04-18T18:22:51.114468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T18:22:51.206485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
체육도장업 1547
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.2 KiB
10_41_01_P
1547 

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 1547
100.0%

Length

2024-04-18T18:22:51.306746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T18:22:51.400991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10_41_01_p 1547
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3332643.8
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.7 KiB
2024-04-18T18:22:51.481588image/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 deviation36786.215
Coefficient of variation (CV)0.011038148
Kurtosis-0.74194894
Mean3332643.8
Median Absolute Deviation (MAD)30000
Skewness0.11700512
Sum5.1556 × 109
Variance1.3532256 × 109
MonotonicityNot monotonic
2024-04-18T18:22:51.586477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3330000 180
11.6%
3320000 153
9.9%
3290000 149
9.6%
3300000 139
9.0%
3340000 136
8.8%
3310000 131
8.5%
3350000 126
8.1%
3390000 103
6.7%
3370000 97
 
6.3%
3400000 87
 
5.6%
Other values (6) 246
15.9%
ValueCountFrequency (%)
3250000 11
 
0.7%
3260000 40
 
2.6%
3270000 21
 
1.4%
3280000 39
 
2.5%
3290000 149
9.6%
3300000 139
9.0%
3310000 131
8.5%
3320000 153
9.9%
3330000 180
11.6%
3340000 136
8.8%
ValueCountFrequency (%)
3400000 87
5.6%
3390000 103
6.7%
3380000 59
 
3.8%
3370000 97
6.3%
3360000 76
4.9%
3350000 126
8.1%
3340000 136
8.8%
3330000 180
11.6%
3320000 153
9.9%
3310000 131
8.5%

관리번호
Text

Distinct421
Distinct (%)27.2%
Missing0
Missing (%)0.0%
Memory size12.2 KiB
2024-04-18T18:22:51.770839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters30940
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

Unique164 ?
Unique (%)10.6%

Sample

1st rowCDFH3301021989000001
2nd rowCDFH3301022004000002
3rd rowCDFH3301021988000001
4th rowCDFH3301021991000001
5th rowCDFH3301021994000001
ValueCountFrequency (%)
cdfh3301022020000001 15
 
1.0%
cdfh3301022020000002 14
 
0.9%
cdfh3301022018000001 14
 
0.9%
cdfh3301022016000001 14
 
0.9%
cdfh3301022014000001 13
 
0.8%
cdfh3301022017000001 13
 
0.8%
cdfh3301022009000001 13
 
0.8%
cdfh3301021989000001 13
 
0.8%
cdfh3301022005000001 13
 
0.8%
cdfh3301022012000001 13
 
0.8%
Other values (411) 1412
91.3%
2024-04-18T18:22:52.081708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 12671
41.0%
3 3559
 
11.5%
2 3235
 
10.5%
1 2970
 
9.6%
C 1547
 
5.0%
D 1547
 
5.0%
F 1547
 
5.0%
H 1547
 
5.0%
9 921
 
3.0%
4 317
 
1.0%
Other values (4) 1079
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 24752
80.0%
Uppercase Letter 6188
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 12671
51.2%
3 3559
 
14.4%
2 3235
 
13.1%
1 2970
 
12.0%
9 921
 
3.7%
4 317
 
1.3%
8 310
 
1.3%
5 307
 
1.2%
7 235
 
0.9%
6 227
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
C 1547
25.0%
D 1547
25.0%
F 1547
25.0%
H 1547
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 24752
80.0%
Latin 6188
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 12671
51.2%
3 3559
 
14.4%
2 3235
 
13.1%
1 2970
 
12.0%
9 921
 
3.7%
4 317
 
1.3%
8 310
 
1.3%
5 307
 
1.2%
7 235
 
0.9%
6 227
 
0.9%
Latin
ValueCountFrequency (%)
C 1547
25.0%
D 1547
25.0%
F 1547
25.0%
H 1547
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 30940
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 12671
41.0%
3 3559
 
11.5%
2 3235
 
10.5%
1 2970
 
9.6%
C 1547
 
5.0%
D 1547
 
5.0%
F 1547
 
5.0%
H 1547
 
5.0%
9 921
 
3.0%
4 317
 
1.0%
Other values (4) 1079
 
3.5%

인허가일자
Real number (ℝ)

Distinct1294
Distinct (%)83.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20050337
Minimum19720503
Maximum20201221
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.7 KiB
2024-04-18T18:22:52.227679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19720503
5-th percentile19890731
Q119991202
median20040624
Q320130430
95-th percentile20200311
Maximum20201221
Range480718
Interquartile range (IQR)139227.5

Descriptive statistics

Standard deviation93205.936
Coefficient of variation (CV)0.0046485971
Kurtosis-0.37815256
Mean20050337
Median Absolute Deviation (MAD)69514
Skewness-0.24781834
Sum3.1017871 × 1010
Variance8.6873465 × 109
MonotonicityNot monotonic
2024-04-18T18:22:52.382882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20030204 76
 
4.9%
20030124 17
 
1.1%
19890731 17
 
1.1%
19891116 9
 
0.6%
20090326 4
 
0.3%
20200406 4
 
0.3%
20200615 3
 
0.2%
20021127 3
 
0.2%
19910416 3
 
0.2%
20200303 3
 
0.2%
Other values (1284) 1408
91.0%
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 (%)
20201221 1
0.1%
20201130 1
0.1%
20201124 2
0.1%
20201123 1
0.1%
20201110 1
0.1%
20201028 1
0.1%
20201021 1
0.1%
20201019 1
0.1%
20200925 1
0.1%
20200918 1
0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1547
Missing (%)100.0%
Memory size13.7 KiB

영업상태구분코드
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size12.2 KiB
1
886 
3
569 
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 (%)
1 886
57.3%
3 569
36.8%
4 89
 
5.8%
2 3
 
0.2%

Length

2024-04-18T18:22:52.498726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T18:22:52.599200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 886
57.3%
3 569
36.8%
4 89
 
5.8%
2 3
 
0.2%

영업상태명
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size12.2 KiB
영업/정상
886 
폐업
569 
취소/말소/만료/정지/중지
89 
휴업
 
3

Length

Max length14
Median length5
Mean length4.4085326
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 886
57.3%
폐업 569
36.8%
취소/말소/만료/정지/중지 89
 
5.8%
휴업 3
 
0.2%

Length

2024-04-18T18:22:52.703281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T18:22:52.798206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 886
57.3%
폐업 569
36.8%
취소/말소/만료/정지/중지 89
 
5.8%
휴업 3
 
0.2%

상세영업상태코드
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size12.2 KiB
13
886 
3
569 
35
89 
2
 
3

Length

Max length2
Median length2
Mean length1.6302521
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 886
57.3%
3 569
36.8%
35 89
 
5.8%
2 3
 
0.2%

Length

2024-04-18T18:22:52.920012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T18:22:53.037659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 886
57.3%
3 569
36.8%
35 89
 
5.8%
2 3
 
0.2%

상세영업상태명
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size12.2 KiB
영업중
886 
폐업
569 
직권말소
89 
휴업
 
3

Length

Max length4
Median length3
Mean length2.6877828
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 886
57.3%
폐업 569
36.8%
직권말소 89
 
5.8%
휴업 3
 
0.2%

Length

2024-04-18T18:22:53.141407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T18:22:53.243133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 886
57.3%
폐업 569
36.8%
직권말소 89
 
5.8%
휴업 3
 
0.2%

폐업일자
Real number (ℝ)

MISSING 

Distinct503
Distinct (%)78.3%
Missing905
Missing (%)58.5%
Infinite0
Infinite (%)0.0%
Mean20115042
Minimum19910106
Maximum20201230
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.7 KiB
2024-04-18T18:22:53.351254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19910106
5-th percentile20031028
Q120070808
median20110912
Q320160888
95-th percentile20191231
Maximum20201230
Range291124
Interquartile range (IQR)90080.5

Descriptive statistics

Standard deviation52984.132
Coefficient of variation (CV)0.0026340552
Kurtosis-0.61369472
Mean20115042
Median Absolute Deviation (MAD)40402.5
Skewness-0.20666108
Sum1.2913857 × 1010
Variance2.8073183 × 109
MonotonicityNot monotonic
2024-04-18T18:22:53.493717image/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
 
0.5%
20110615 5
 
0.3%
20021212 5
 
0.3%
20130819 5
 
0.3%
20180523 4
 
0.3%
20191231 4
 
0.3%
Other values (493) 570
36.8%
(Missing) 905
58.5%
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 (%)
20201230 1
0.1%
20201228 1
0.1%
20201223 1
0.1%
20201211 2
0.1%
20201209 1
0.1%
20201208 1
0.1%
20201202 1
0.1%
20201127 1
0.1%
20201125 1
0.1%
20201111 1
0.1%

휴업시작일자
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size12.2 KiB
<NA>
1544 
20130122
 
1
20171025
 
1
20090123
 
1

Length

Max length8
Median length4
Mean length4.0077569
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> 1544
99.8%
20130122 1
 
0.1%
20171025 1
 
0.1%
20090123 1
 
0.1%

Length

2024-04-18T18:22:53.624435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T18:22:53.723262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1544
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 size12.2 KiB
<NA>
1544 
20130714
 
1
20181025
 
1
20100123
 
1

Length

Max length8
Median length4
Mean length4.0077569
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> 1544
99.8%
20130714 1
 
0.1%
20181025 1
 
0.1%
20100123 1
 
0.1%

Length

2024-04-18T18:22:53.831598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T18:22:53.933391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1544
99.8%
20130714 1
 
0.1%
20181025 1
 
0.1%
20100123 1
 
0.1%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1547
Missing (%)100.0%
Memory size13.7 KiB

소재지전화
Text

MISSING 

Distinct1063
Distinct (%)94.7%
Missing424
Missing (%)27.4%
Memory size12.2 KiB
2024-04-18T18:22:54.127959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length8
Mean length9.8156723
Min length5

Characters and Unicode

Total characters11023
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

Unique1008 ?
Unique (%)89.8%

Sample

1st row463-0374
2nd row442-6288
3rd row051-254-7709
4th row051-442-6288
5th row051-465-1229
ValueCountFrequency (%)
051-868-8228 3
 
0.3%
051-701-9559 3
 
0.3%
516-7068 3
 
0.3%
335-2863 3
 
0.3%
051 3
 
0.3%
051-747-0064 3
 
0.3%
051-703-2800 2
 
0.2%
051-753-2405 2
 
0.2%
051-972-4506 2
 
0.2%
051-758-7413 2
 
0.2%
Other values (1056) 1102
97.7%
2024-04-18T18:22:54.470765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1595
14.5%
5 1494
13.6%
1 1234
11.2%
0 1231
11.2%
2 980
8.9%
3 880
8.0%
7 862
7.8%
8 813
7.4%
6 742
6.7%
4 675
6.1%
Other values (3) 517
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9410
85.4%
Dash Punctuation 1595
 
14.5%
Close Punctuation 13
 
0.1%
Space Separator 5
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 1494
15.9%
1 1234
13.1%
0 1231
13.1%
2 980
10.4%
3 880
9.4%
7 862
9.2%
8 813
8.6%
6 742
7.9%
4 675
7.2%
9 499
 
5.3%
Dash Punctuation
ValueCountFrequency (%)
- 1595
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 11023
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1595
14.5%
5 1494
13.6%
1 1234
11.2%
0 1231
11.2%
2 980
8.9%
3 880
8.0%
7 862
7.8%
8 813
7.4%
6 742
6.7%
4 675
6.1%
Other values (3) 517
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11023
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1595
14.5%
5 1494
13.6%
1 1234
11.2%
0 1231
11.2%
2 980
8.9%
3 880
8.0%
7 862
7.8%
8 813
7.4%
6 742
6.7%
4 675
6.1%
Other values (3) 517
 
4.7%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1547
Missing (%)100.0%
Memory size13.7 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct479
Distinct (%)48.0%
Missing550
Missing (%)35.6%
Infinite0
Infinite (%)0.0%
Mean611764.45
Minimum600083
Maximum619963
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.7 KiB
2024-04-18T18:22:54.607808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum600083
5-th percentile604730.6
Q1607843
median612061
Q3616801
95-th percentile619764.2
Maximum619963
Range19880
Interquartile range (IQR)8958

Descriptive statistics

Standard deviation4809.569
Coefficient of variation (CV)0.0078617989
Kurtosis-0.86969613
Mean611764.45
Median Absolute Deviation (MAD)4224
Skewness-0.17649546
Sum6.0992916 × 108
Variance23131954
MonotonicityNot monotonic
2024-04-18T18:22:54.751462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
619963 14
 
0.9%
616852 10
 
0.6%
619903 10
 
0.6%
607837 10
 
0.6%
616845 8
 
0.5%
608838 8
 
0.5%
611803 7
 
0.5%
611812 7
 
0.5%
612843 7
 
0.5%
604827 7
 
0.5%
Other values (469) 909
58.8%
(Missing) 550
35.6%
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 

Distinct1473
Distinct (%)96.8%
Missing26
Missing (%)1.7%
Memory size12.2 KiB
2024-04-18T18:22:55.055365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length45
Mean length25.00526
Min length13

Characters and Unicode

Total characters38033
Distinct characters328
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

Unique1428 ?
Unique (%)93.9%

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 1521
 
20.9%
해운대구 177
 
2.4%
북구 152
 
2.1%
부산진구 149
 
2.0%
동래구 138
 
1.9%
남구 129
 
1.8%
사하구 127
 
1.7%
금정구 126
 
1.7%
2층 112
 
1.5%
사상구 103
 
1.4%
Other values (2065) 4548
62.5%
2024-04-18T18:22:55.519220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5763
 
15.2%
산 1791
 
4.7%
동 1782
 
4.7%
부 1748
 
4.6%
1 1685
 
4.4%
광 1554
 
4.1%
시 1540
 
4.0%
역 1522
 
4.0%
구 1507
 
4.0%
지 1456
 
3.8%
Other values (318) 17685
46.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 22650
59.6%
Decimal Number 8110
 
21.3%
Space Separator 5763
 
15.2%
Dash Punctuation 1333
 
3.5%
Uppercase Letter 60
 
0.2%
Other Punctuation 52
 
0.1%
Open Punctuation 26
 
0.1%
Close Punctuation 26
 
0.1%
Math Symbol 12
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 1791
 
7.9%
동 1782
 
7.9%
부 1748
 
7.7%
광 1554
 
6.9%
시 1540
 
6.8%
역 1522
 
6.7%
구 1507
 
6.7%
지 1456
 
6.4%
번 1309
 
5.8%
대 358
 
1.6%
Other values (280) 8083
35.7%
Uppercase Letter
ValueCountFrequency (%)
B 12
20.0%
A 9
15.0%
S 6
10.0%
P 5
8.3%
K 5
8.3%
T 4
 
6.7%
G 4
 
6.7%
I 3
 
5.0%
Z 2
 
3.3%
L 2
 
3.3%
Other values (7) 8
13.3%
Decimal Number
ValueCountFrequency (%)
1 1685
20.8%
2 1243
15.3%
3 917
11.3%
4 797
9.8%
0 721
8.9%
5 701
8.6%
7 559
 
6.9%
6 534
 
6.6%
8 509
 
6.3%
9 444
 
5.5%
Other Punctuation
ValueCountFrequency (%)
, 39
75.0%
. 6
 
11.5%
@ 5
 
9.6%
？ 1
 
1.9%
? 1
 
1.9%
Space Separator
ValueCountFrequency (%)
5763
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1333
100.0%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Math Symbol
ValueCountFrequency (%)
~ 12
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 22650
59.6%
Common 15322
40.3%
Latin 61
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 1791
 
7.9%
동 1782
 
7.9%
부 1748
 
7.7%
광 1554
 
6.9%
시 1540
 
6.8%
역 1522
 
6.7%
구 1507
 
6.7%
지 1456
 
6.4%
번 1309
 
5.8%
대 358
 
1.6%
Other values (280) 8083
35.7%
Common
ValueCountFrequency (%)
5763
37.6%
1 1685
 
11.0%
- 1333
 
8.7%
2 1243
 
8.1%
3 917
 
6.0%
4 797
 
5.2%
0 721
 
4.7%
5 701
 
4.6%
7 559
 
3.6%
6 534
 
3.5%
Other values (10) 1069
 
7.0%
Latin
ValueCountFrequency (%)
B 12
19.7%
A 9
14.8%
S 6
9.8%
P 5
8.2%
K 5
8.2%
T 4
 
6.6%
G 4
 
6.6%
I 3
 
4.9%
Z 2
 
3.3%
L 2
 
3.3%
Other values (8) 9
14.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 22650
59.6%
ASCII 15382
40.4%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5763
37.5%
1 1685
 
11.0%
- 1333
 
8.7%
2 1243
 
8.1%
3 917
 
6.0%
4 797
 
5.2%
0 721
 
4.7%
5 701
 
4.6%
7 559
 
3.6%
6 534
 
3.5%
Other values (27) 1129
 
7.3%
Hangul
ValueCountFrequency (%)
산 1791
 
7.9%
동 1782
 
7.9%
부 1748
 
7.7%
광 1554
 
6.9%
시 1540
 
6.8%
역 1522
 
6.7%
구 1507
 
6.7%
지 1456
 
6.4%
번 1309
 
5.8%
대 358
 
1.6%
Other values (280) 8083
35.7%
None
ValueCountFrequency (%)
？ 1
100.0%

도로명전체주소
Text

MISSING 

Distinct1469
Distinct (%)98.1%
Missing50
Missing (%)3.2%
Memory size12.2 KiB
2024-04-18T18:22:55.839292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length50
Mean length30.452238
Min length17

Characters and Unicode

Total characters45587
Distinct characters402
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

Unique1442 ?
Unique (%)96.3%

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 1497
 
17.1%
해운대구 176
 
2.0%
2층 155
 
1.8%
북구 148
 
1.7%
부산진구 144
 
1.6%
사하구 135
 
1.5%
동래구 134
 
1.5%
남구 127
 
1.5%
금정구 123
 
1.4%
3층 113
 
1.3%
Other values (2000) 5990
68.5%
2024-04-18T18:22:56.306994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7622
 
16.7%
동 1901
 
4.2%
산 1790
 
3.9%
부 1725
 
3.8%
시 1591
 
3.5%
광 1563
 
3.4%
구 1502
 
3.3%
역 1498
 
3.3%
로 1484
 
3.3%
( 1436
 
3.2%
Other values (392) 23475
51.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 26664
58.5%
Space Separator 7622
 
16.7%
Decimal Number 7043
 
15.4%
Open Punctuation 1436
 
3.2%
Close Punctuation 1436
 
3.2%
Other Punctuation 1136
 
2.5%
Dash Punctuation 174
 
0.4%
Uppercase Letter 55
 
0.1%
Lowercase Letter 11
 
< 0.1%
Math Symbol 10
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1901
 
7.1%
산 1790
 
6.7%
부 1725
 
6.5%
시 1591
 
6.0%
광 1563
 
5.9%
구 1502
 
5.6%
역 1498
 
5.6%
로 1484
 
5.6%
대 655
 
2.5%
길 566
 
2.1%
Other values (346) 12389
46.5%
Uppercase Letter
ValueCountFrequency (%)
B 14
25.5%
A 8
14.5%
K 6
10.9%
P 5
 
9.1%
S 5
 
9.1%
I 3
 
5.5%
L 2
 
3.6%
E 2
 
3.6%
T 2
 
3.6%
G 2
 
3.6%
Other values (6) 6
10.9%
Decimal Number
ValueCountFrequency (%)
1 1369
19.4%
2 1179
16.7%
3 910
12.9%
0 739
10.5%
4 682
9.7%
5 554
7.9%
6 482
 
6.8%
7 419
 
5.9%
8 387
 
5.5%
9 322
 
4.6%
Lowercase Letter
ValueCountFrequency (%)
a 2
18.2%
e 2
18.2%
i 1
9.1%
v 1
9.1%
k 1
9.1%
s 1
9.1%
w 1
9.1%
z 1
9.1%
l 1
9.1%
Other Punctuation
ValueCountFrequency (%)
, 1126
99.1%
@ 4
 
0.4%
· 2
 
0.2%
. 2
 
0.2%
？ 1
 
0.1%
? 1
 
0.1%
Space Separator
ValueCountFrequency (%)
7622
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1436
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1436
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 174
100.0%
Math Symbol
ValueCountFrequency (%)
~ 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 26664
58.5%
Common 18857
41.4%
Latin 66
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1901
 
7.1%
산 1790
 
6.7%
부 1725
 
6.5%
시 1591
 
6.0%
광 1563
 
5.9%
구 1502
 
5.6%
역 1498
 
5.6%
로 1484
 
5.6%
대 655
 
2.5%
길 566
 
2.1%
Other values (346) 12389
46.5%
Latin
ValueCountFrequency (%)
B 14
21.2%
A 8
12.1%
K 6
 
9.1%
P 5
 
7.6%
S 5
 
7.6%
I 3
 
4.5%
a 2
 
3.0%
L 2
 
3.0%
e 2
 
3.0%
E 2
 
3.0%
Other values (15) 17
25.8%
Common
ValueCountFrequency (%)
7622
40.4%
( 1436
 
7.6%
) 1436
 
7.6%
1 1369
 
7.3%
2 1179
 
6.3%
, 1126
 
6.0%
3 910
 
4.8%
0 739
 
3.9%
4 682
 
3.6%
5 554
 
2.9%
Other values (11) 1804
 
9.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 26664
58.5%
ASCII 18920
41.5%
None 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7622
40.3%
( 1436
 
7.6%
) 1436
 
7.6%
1 1369
 
7.2%
2 1179
 
6.2%
, 1126
 
6.0%
3 910
 
4.8%
0 739
 
3.9%
4 682
 
3.6%
5 554
 
2.9%
Other values (34) 1867
 
9.9%
Hangul
ValueCountFrequency (%)
동 1901
 
7.1%
산 1790
 
6.7%
부 1725
 
6.5%
시 1591
 
6.0%
광 1563
 
5.9%
구 1502
 
5.6%
역 1498
 
5.6%
로 1484
 
5.6%
대 655
 
2.5%
길 566
 
2.1%
Other values (346) 12389
46.5%
None
ValueCountFrequency (%)
· 2
66.7%
？ 1
33.3%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct666
Distinct (%)69.7%
Missing592
Missing (%)38.3%
Infinite0
Infinite (%)0.0%
Mean99686.241
Minimum46004
Maximum619963
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.7 KiB
2024-04-18T18:22:56.444905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46004
5-th percentile46048
Q146759
median47603
Q348525
95-th percentile612809.8
Maximum619963
Range573959
Interquartile range (IQR)1766

Descriptive statistics

Standard deviation163747.12
Coefficient of variation (CV)1.6426251
Kurtosis5.9945905
Mean99686.241
Median Absolute Deviation (MAD)877
Skewness2.8249852
Sum95200360
Variance2.6813119 × 1010
MonotonicityNot monotonic
2024-04-18T18:22:56.581697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
46726 33
 
2.1%
46008 11
 
0.7%
46764 7
 
0.5%
46017 6
 
0.4%
47744 6
 
0.4%
46759 6
 
0.4%
46061 6
 
0.4%
48051 5
 
0.3%
48111 5
 
0.3%
46765 4
 
0.3%
Other values (656) 866
56.0%
(Missing) 592
38.3%
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

Distinct1419
Distinct (%)91.7%
Missing0
Missing (%)0.0%
Memory size12.2 KiB
2024-04-18T18:22:56.858170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length21
Mean length6.981254
Min length2

Characters and Unicode

Total characters10800
Distinct characters442
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

Unique1322 ?
Unique (%)85.5%

Sample

1st row용두체육관
2nd row세림태권도 체육관
3rd row대한태권도
4th row비룡체육관
5th row세림태권도체육관
ValueCountFrequency (%)
태권도 111
 
5.2%
태권도장 62
 
2.9%
체육관 29
 
1.4%
동아대 22
 
1.0%
합기도 21
 
1.0%
승리마루 19
 
0.9%
용인대 14
 
0.7%
검도관 12
 
0.6%
복싱 11
 
0.5%
유도관 8
 
0.4%
Other values (1504) 1806
85.4%
2024-04-18T18:22:57.256554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
도 964
 
8.9%
관 744
 
6.9%
태 693
 
6.4%
권 676
 
6.3%
568
 
5.3%
육 566
 
5.2%
체 556
 
5.1%
장 299
 
2.8%
대 188
 
1.7%
동 143
 
1.3%
Other values (432) 5403
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9681
89.6%
Space Separator 568
 
5.3%
Uppercase Letter 268
 
2.5%
Decimal Number 72
 
0.7%
Lowercase Letter 70
 
0.6%
Open Punctuation 59
 
0.5%
Close Punctuation 59
 
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 964
 
10.0%
관 744
 
7.7%
태 693
 
7.2%
권 676
 
7.0%
육 566
 
5.8%
체 556
 
5.7%
장 299
 
3.1%
대 188
 
1.9%
동 143
 
1.5%
유 131
 
1.4%
Other values (369) 4721
48.8%
Uppercase Letter
ValueCountFrequency (%)
A 33
12.3%
M 33
12.3%
T 31
11.6%
K 20
 
7.5%
B 19
 
7.1%
G 18
 
6.7%
S 15
 
5.6%
E 13
 
4.9%
N 11
 
4.1%
I 10
 
3.7%
Other values (14) 65
24.3%
Lowercase Letter
ValueCountFrequency (%)
i 11
15.7%
o 8
11.4%
g 5
 
7.1%
e 5
 
7.1%
n 5
 
7.1%
b 5
 
7.1%
m 4
 
5.7%
l 4
 
5.7%
x 4
 
5.7%
u 3
 
4.3%
Other values (10) 16
22.9%
Decimal Number
ValueCountFrequency (%)
2 34
47.2%
1 17
23.6%
3 11
 
15.3%
7 3
 
4.2%
9 3
 
4.2%
5 2
 
2.8%
4 2
 
2.8%
Other Punctuation
ValueCountFrequency (%)
. 12
70.6%
& 2
 
11.8%
' 1
 
5.9%
, 1
 
5.9%
· 1
 
5.9%
Space Separator
ValueCountFrequency (%)
568
100.0%
Open Punctuation
ValueCountFrequency (%)
( 59
100.0%
Close Punctuation
ValueCountFrequency (%)
) 59
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 9681
89.6%
Common 780
 
7.2%
Latin 338
 
3.1%
Greek 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 964
 
10.0%
관 744
 
7.7%
태 693
 
7.2%
권 676
 
7.0%
육 566
 
5.8%
체 556
 
5.7%
장 299
 
3.1%
대 188
 
1.9%
동 143
 
1.5%
유 131
 
1.4%
Other values (369) 4721
48.8%
Latin
ValueCountFrequency (%)
A 33
 
9.8%
M 33
 
9.8%
T 31
 
9.2%
K 20
 
5.9%
B 19
 
5.6%
G 18
 
5.3%
S 15
 
4.4%
E 13
 
3.8%
N 11
 
3.3%
i 11
 
3.3%
Other values (34) 134
39.6%
Common
ValueCountFrequency (%)
568
72.8%
( 59
 
7.6%
) 59
 
7.6%
2 34
 
4.4%
1 17
 
2.2%
. 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 9681
89.6%
ASCII 1115
 
10.3%
None 2
 
< 0.1%
Enclosed Alphanum 1
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
도 964
 
10.0%
관 744
 
7.7%
태 693
 
7.2%
권 676
 
7.0%
육 566
 
5.8%
체 556
 
5.7%
장 299
 
3.1%
대 188
 
1.9%
동 143
 
1.5%
유 131
 
1.4%
Other values (369) 4721
48.8%
ASCII
ValueCountFrequency (%)
568
50.9%
( 59
 
5.3%
) 59
 
5.3%
2 34
 
3.0%
A 33
 
3.0%
M 33
 
3.0%
T 31
 
2.8%
K 20
 
1.8%
B 19
 
1.7%
G 18
 
1.6%
Other values (49) 241
21.6%
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)

Distinct1546
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0154626 × 1013
Minimum2.0021018 × 1013
Maximum2.020123 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.7 KiB
2024-04-18T18:22:57.386156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0021018 × 1013
5-th percentile2.0060339 × 1013
Q12.0120911 × 1013
median2.0170207 × 1013
Q32.0191222 × 1013
95-th percentile2.020102 × 1013
Maximum2.020123 × 1013
Range1.8021203 × 1011
Interquartile range (IQR)7.0310459 × 1010

Descriptive statistics

Standard deviation4.747297 × 1010
Coefficient of variation (CV)0.0023554379
Kurtosis-0.097703166
Mean2.0154626 × 1013
Median Absolute Deviation (MAD)3.010498 × 1010
Skewness-0.96766904
Sum3.1179207 × 1016
Variance2.2536829 × 1021
MonotonicityNot monotonic
2024-04-18T18:22:57.513562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20021018132120 2
 
0.1%
20100901094211 1
 
0.1%
20180528104639 1
 
0.1%
20180727155003 1
 
0.1%
20200717111409 1
 
0.1%
20140129182821 1
 
0.1%
20131224172320 1
 
0.1%
20110705185251 1
 
0.1%
20180523101118 1
 
0.1%
20130422171102 1
 
0.1%
Other values (1536) 1536
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 (%)
20201230162729 1
0.1%
20201228180606 1
0.1%
20201228150922 1
0.1%
20201228112303 1
0.1%
20201223122532 1
0.1%
20201222135700 1
0.1%
20201221090940 1
0.1%
20201216130449 1
0.1%
20201216123359 1
0.1%
20201215172949 1
0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.2 KiB
I
1035 
U
512 

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 1035
66.9%
U 512
33.1%

Length

2024-04-18T18:22:57.949521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T18:22:58.028519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 1035
66.9%
u 512
33.1%

데이터갱신일자
Date

Distinct313
Distinct (%)20.2%
Missing0
Missing (%)0.0%
Memory size12.2 KiB
Minimum2018-08-31 23:59:59
Maximum2021-01-01 02:40:00
2024-04-18T18:22:58.127288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T18:22:58.255699image/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 size12.2 KiB
<NA>
833 
태권도
472 
권투
 
68
합기도
 
65
검도
 
48
Other values (3)
 
61

Length

Max length4
Median length4
Mean length3.4298643
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 833
53.8%
태권도 472
30.5%
권투 68
 
4.4%
합기도 65
 
4.2%
검도 48
 
3.1%
유도 44
 
2.8%
레슬링 9
 
0.6%
우슈 8
 
0.5%

Length

2024-04-18T18:22:58.383198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T18:22:58.492733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 833
53.8%
태권도 472
30.5%
권투 68
 
4.4%
합기도 65
 
4.2%
검도 48
 
3.1%
유도 44
 
2.8%
레슬링 9
 
0.6%
우슈 8
 
0.5%

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct1355
Distinct (%)89.5%
Missing33
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean387726.26
Minimum366854.08
Maximum407631.55
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.7 KiB
2024-04-18T18:22:58.611639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum366854.08
5-th percentile378319.12
Q1383169.24
median388545.96
Q3391869.09
95-th percentile398170.42
Maximum407631.55
Range40777.469
Interquartile range (IQR)8699.8526

Descriptive statistics

Standard deviation6350.9681
Coefficient of variation (CV)0.016380031
Kurtosis0.02436089
Mean387726.26
Median Absolute Deviation (MAD)4231.5748
Skewness-0.12893968
Sum5.8701756 × 108
Variance40334795
MonotonicityNot monotonic
2024-04-18T18:22:58.760157image/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%
393645.035494837 3
 
0.2%
387887.847333871 3
 
0.2%
383331.597068707 3
 
0.2%
385548.398326849 3
 
0.2%
385476.912682386 3
 
0.2%
389870.966031151 3
 
0.2%
383947.284797889 3
 
0.2%
379594.935538839 3
 
0.2%
Other values (1345) 1482
95.8%
(Missing) 33
 
2.1%
ValueCountFrequency (%)
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%
371180.37604943 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 

Distinct1355
Distinct (%)89.5%
Missing33
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean187859.64
Minimum173961.91
Maximum206353.86
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.7 KiB
2024-04-18T18:22:58.896520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum173961.91
5-th percentile177564.96
Q1183053.43
median187977.16
Q3191700.65
95-th percentile198060.43
Maximum206353.86
Range32391.941
Interquartile range (IQR)8647.2174

Descriptive statistics

Standard deviation6563.0934
Coefficient of variation (CV)0.034936155
Kurtosis0.14529794
Mean187859.64
Median Absolute Deviation (MAD)4086.8939
Skewness0.29217207
Sum2.8441949 × 108
Variance43074195
MonotonicityNot monotonic
2024-04-18T18:22:59.023618image/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%
190123.012320081 3
 
0.2%
187966.542955171 3
 
0.2%
195401.595703414 3
 
0.2%
185908.029905205 3
 
0.2%
191904.639301973 3
 
0.2%
195622.043924549 3
 
0.2%
185065.676609916 3
 
0.2%
174211.496764498 3
 
0.2%
Other values (1345) 1482
95.8%
(Missing) 33
 
2.1%
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 size12.2 KiB
체육도장업
1547 

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 1547
100.0%

Length

2024-04-18T18:22:59.147660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T18:22:59.235215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
체육도장업 1547
100.0%

공사립구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.2 KiB
사립
1546 
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 1546
99.9%
공립 1
 
0.1%

Length

2024-04-18T18:22:59.326900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T18:22:59.418009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 1546
99.9%
공립 1
 
0.1%

보험가입여부코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size12.2 KiB
<NA>
1244 
0
288 
Y
 
13
1
 
2

Length

Max length4
Median length4
Mean length3.4124111
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> 1244
80.4%
0 288
 
18.6%
Y 13
 
0.8%
1 2
 
0.1%

Length

2024-04-18T18:22:59.531200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T18:22:59.626171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1244
80.4%
0 288
 
18.6%
y 13
 
0.8%
1 2
 
0.1%

지도자수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size12.2 KiB
<NA>
962 
1
568 
2
 
13
0
 
3
3
 
1

Length

Max length4
Median length4
Mean length2.8655462
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> 962
62.2%
1 568
36.7%
2 13
 
0.8%
0 3
 
0.2%
3 1
 
0.1%

Length

2024-04-18T18:22:59.737618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T18:22:59.849143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 962
62.2%
1 568
36.7%
2 13
 
0.8%
0 3
 
0.2%
3 1
 
0.1%

건축물동수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)2.3%
Missing1288
Missing (%)83.3%
Infinite0
Infinite (%)0.0%
Mean1.015444
Minimum0
Maximum8
Zeros20
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size13.7 KiB
2024-04-18T18:22:59.938645image/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 deviation0.65277649
Coefficient of variation (CV)0.64284833
Kurtosis55.684779
Mean1.015444
Median Absolute Deviation (MAD)0
Skewness5.9668573
Sum263
Variance0.42611715
MonotonicityNot monotonic
2024-04-18T18:23:00.040373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 230
 
14.9%
0 20
 
1.3%
4 3
 
0.2%
3 3
 
0.2%
2 2
 
0.1%
8 1
 
0.1%
(Missing) 1288
83.3%
ValueCountFrequency (%)
0 20
 
1.3%
1 230
14.9%
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%
1 230
14.9%
0 20
 
1.3%

건축물연면적
Real number (ℝ)

MISSING  ZEROS 

Distinct746
Distinct (%)90.2%
Missing720
Missing (%)46.5%
Infinite0
Infinite (%)0.0%
Mean946.90935
Minimum0
Maximum44070.28
Zeros18
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size13.7 KiB
2024-04-18T18:23:00.164741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile70.503
Q1120.25
median209.95
Q3747.17
95-th percentile2766.952
Maximum44070.28
Range44070.28
Interquartile range (IQR)626.92

Descriptive statistics

Standard deviation3052.777
Coefficient of variation (CV)3.223938
Kurtosis100.79727
Mean946.90935
Median Absolute Deviation (MAD)129.33
Skewness9.0116522
Sum783094.03
Variance9319447.4
MonotonicityNot monotonic
2024-04-18T18:23:00.289195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 18
 
1.2%
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%
72.0 2
 
0.1%
131.0 2
 
0.1%
1574.58 2
 
0.1%
Other values (736) 770
49.8%
(Missing) 720
46.5%
ValueCountFrequency (%)
0.0 18
1.2%
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%
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%
11990.0 1
0.1%

회원모집총인원
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size12.2 KiB
<NA>
1541 
60
 
2
80
 
1
40
 
1
50
 
1

Length

Max length4
Median length4
Mean length3.9922431
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> 1541
99.6%
60 2
 
0.1%
80 1
 
0.1%
40 1
 
0.1%
50 1
 
0.1%
30 1
 
0.1%

Length

2024-04-18T18:23:00.413979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T18:23:00.530272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1541
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 

Missing1547
Missing (%)100.0%
Memory size13.7 KiB

법인명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1547
Missing (%)100.0%
Memory size13.7 KiB

Unnamed: 37
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1547
Missing (%)100.0%
Memory size13.7 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
15371538체육도장업10_41_01_P3330000CDFH330102201200000120120315<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>612769부산광역시 해운대구 우동 1228번지 센텀센시빌 상가동 202호부산광역시 해운대구 해운대로 284, 상가동 202호 (우동, 센텀센시빌)48059센텀TIA 태권도20171114111941I2018-08-31 23:59:59.0<NA>393967.197053188310.416724체육도장업사립<NA><NA>1<NA><NA><NA><NA><NA>
15381539체육도장업10_41_01_P3330000CDFH330102201200000420120711<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>612851부산광역시 해운대구 중동 1766-6부산광역시 해운대구 좌동순환로 506, 3층 301호 (중동)48101팀매드20201015122233U2020-10-17 02:40:00.0<NA>397518.595863187373.245342체육도장업사립<NA><NA><NA><NA><NA><NA><NA><NA>
15391540체육도장업10_41_01_P3330000CDFH330102201400000820141223<NA>1영업/정상13영업중<NA><NA><NA><NA>051-545-2001<NA>612805부산광역시 해운대구 반송동 709-53번지 3층부산광역시 해운대구 아랫반송로 7, 3층 (반송동)48017장정구 복싱다이어트 헬스클럽20160802143521I2018-08-31 23:59:59.0<NA>395394.928779193939.275315체육도장업사립<NA><NA><NA>748.0<NA><NA><NA><NA>
15401541체육도장업10_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>
15411542체육도장업10_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>
15421543체육도장업10_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>
15431544체육도장업10_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>
15441545체육도장업10_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>
15451546체육도장업10_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>
15461547체육도장업10_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>