Overview

Dataset statistics

Number of variables38
Number of observations1350
Missing cells14869
Missing cells (%)29.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory432.6 KiB
Average record size in memory328.1 B

Variable types

Numeric12
Categorical13
Text5
Unsupported7
DateTime1

Dataset

Description2021-06-01
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20230901050101123181

Alerts

개방서비스명 has constant value ""Constant
개방서비스id has constant value ""Constant
문화체육업종명 has constant value ""Constant
공사립구분명 has constant value ""Constant
휴업시작일자 is highly imbalanced (98.9%)Imbalance
휴업종료일자 is highly imbalanced (98.9%)Imbalance
보험가입여부코드 is highly imbalanced (55.3%)Imbalance
인허가취소일자 has 1350 (100.0%) missing valuesMissing
폐업일자 has 803 (59.5%) missing valuesMissing
재개업일자 has 1350 (100.0%) missing valuesMissing
소재지전화 has 329 (24.4%) missing valuesMissing
소재지면적 has 1350 (100.0%) missing valuesMissing
소재지우편번호 has 575 (42.6%) missing valuesMissing
소재지전체주소 has 27 (2.0%) missing valuesMissing
도로명전체주소 has 35 (2.6%) missing valuesMissing
도로명우편번호 has 492 (36.4%) missing valuesMissing
업태구분명 has 1350 (100.0%) missing valuesMissing
좌표정보(x) has 19 (1.4%) missing valuesMissing
좌표정보(y) has 19 (1.4%) missing valuesMissing
건축물동수 has 1155 (85.6%) missing valuesMissing
건축물연면적 has 624 (46.2%) missing valuesMissing
회원모집총인원 has 1341 (99.3%) missing valuesMissing
세부업종명 has 1350 (100.0%) missing valuesMissing
법인명 has 1350 (100.0%) missing valuesMissing
Unnamed: 37 has 1350 (100.0%) missing valuesMissing
인허가일자 is highly skewed (γ1 = -32.05747326)Skewed
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
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
세부업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
법인명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 37 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건축물동수 has 16 (1.2%) zerosZeros
건축물연면적 has 18 (1.3%) zerosZeros

Reproduction

Analysis started2024-04-17 04:11:08.458773
Analysis finished2024-04-17 04:11:09.334263
Duration0.88 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct1350
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean675.5
Minimum1
Maximum1350
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.0 KiB
2024-04-17T13:11:09.390449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile68.45
Q1338.25
median675.5
Q31012.75
95-th percentile1282.55
Maximum1350
Range1349
Interquartile range (IQR)674.5

Descriptive statistics

Standard deviation389.85574
Coefficient of variation (CV)0.57713655
Kurtosis-1.2
Mean675.5
Median Absolute Deviation (MAD)337.5
Skewness0
Sum911925
Variance151987.5
MonotonicityStrictly increasing
2024-04-17T13:11:09.504426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
899 1
 
0.1%
907 1
 
0.1%
906 1
 
0.1%
905 1
 
0.1%
904 1
 
0.1%
903 1
 
0.1%
902 1
 
0.1%
901 1
 
0.1%
900 1
 
0.1%
Other values (1340) 1340
99.3%
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 (%)
1350 1
0.1%
1349 1
0.1%
1348 1
0.1%
1347 1
0.1%
1346 1
0.1%
1345 1
0.1%
1344 1
0.1%
1343 1
0.1%
1342 1
0.1%
1341 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
체력단련장업
1350 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
체력단련장업 1350
100.0%

Length

2024-04-17T13:11:09.621716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T13:11:09.702801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
체력단련장업 1350
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
10_42_01_P
1350 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row10_42_01_P
2nd row10_42_01_P
3rd row10_42_01_P
4th row10_42_01_P
5th row10_42_01_P

Common Values

ValueCountFrequency (%)
10_42_01_P 1350
100.0%

Length

2024-04-17T13:11:09.776848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T13:11:09.849849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10_42_01_p 1350
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3325992.6
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.0 KiB
2024-04-17T13:11:09.919413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3250000
5-th percentile3260000
Q13300000
median3330000
Q33350000
95-th percentile3390000
Maximum3400000
Range150000
Interquartile range (IQR)50000

Descriptive statistics

Standard deviation38473.658
Coefficient of variation (CV)0.011567572
Kurtosis-0.76099137
Mean3325992.6
Median Absolute Deviation (MAD)30000
Skewness0.084578235
Sum4.49009 × 109
Variance1.4802223 × 109
MonotonicityNot monotonic
2024-04-17T13:11:10.007902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3290000 189
14.0%
3330000 169
12.5%
3300000 120
8.9%
3340000 117
8.7%
3310000 115
8.5%
3350000 99
7.3%
3370000 85
 
6.3%
3390000 83
 
6.1%
3320000 82
 
6.1%
3380000 72
 
5.3%
Other values (6) 219
16.2%
ValueCountFrequency (%)
3250000 46
 
3.4%
3260000 39
 
2.9%
3270000 35
 
2.6%
3280000 27
 
2.0%
3290000 189
14.0%
3300000 120
8.9%
3310000 115
8.5%
3320000 82
6.1%
3330000 169
12.5%
3340000 117
8.7%
ValueCountFrequency (%)
3400000 36
 
2.7%
3390000 83
6.1%
3380000 72
5.3%
3370000 85
6.3%
3360000 36
 
2.7%
3350000 99
7.3%
3340000 117
8.7%
3330000 169
12.5%
3320000 82
6.1%
3310000 115
8.5%

관리번호
Text

Distinct323
Distinct (%)23.9%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
2024-04-17T13:11:10.189060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters27000
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

Unique104 ?
Unique (%)7.7%

Sample

1st rowCDFH3301062021000004
2nd rowCDFH3301062021000003
3rd rowCDFH3301062021000002
4th rowCDFH3301062020000012
5th rowCDFH3301062020000013
ValueCountFrequency (%)
cdfh3301062015000001 16
 
1.2%
cdfh3301062020000001 16
 
1.2%
cdfh3301062004000002 15
 
1.1%
cdfh3301062018000001 14
 
1.0%
cdfh3301062013000001 14
 
1.0%
cdfh3301062014000001 14
 
1.0%
cdfh3301062003000001 14
 
1.0%
cdfh3301062019000001 14
 
1.0%
cdfh3301062005000001 14
 
1.0%
cdfh3301062020000002 14
 
1.0%
Other values (313) 1205
89.3%
2024-04-17T13:11:10.454026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 11231
41.6%
3 3117
 
11.5%
1 2567
 
9.5%
2 1706
 
6.3%
6 1555
 
5.8%
C 1350
 
5.0%
D 1350
 
5.0%
F 1350
 
5.0%
H 1350
 
5.0%
9 534
 
2.0%
Other values (4) 890
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 21600
80.0%
Uppercase Letter 5400
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 11231
52.0%
3 3117
 
14.4%
1 2567
 
11.9%
2 1706
 
7.9%
6 1555
 
7.2%
9 534
 
2.5%
4 291
 
1.3%
5 252
 
1.2%
8 176
 
0.8%
7 171
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
C 1350
25.0%
D 1350
25.0%
F 1350
25.0%
H 1350
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 21600
80.0%
Latin 5400
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 11231
52.0%
3 3117
 
14.4%
1 2567
 
11.9%
2 1706
 
7.9%
6 1555
 
7.2%
9 534
 
2.5%
4 291
 
1.3%
5 252
 
1.2%
8 176
 
0.8%
7 171
 
0.8%
Latin
ValueCountFrequency (%)
C 1350
25.0%
D 1350
25.0%
F 1350
25.0%
H 1350
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 27000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 11231
41.6%
3 3117
 
11.5%
1 2567
 
9.5%
2 1706
 
6.3%
6 1555
 
5.8%
C 1350
 
5.0%
D 1350
 
5.0%
F 1350
 
5.0%
H 1350
 
5.0%
9 534
 
2.0%
Other values (4) 890
 
3.3%

인허가일자
Real number (ℝ)

SKEWED 

Distinct1144
Distinct (%)84.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20081384
Minimum10001126
Maximum20210423
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.0 KiB
2024-04-17T13:11:10.582381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10001126
5-th percentile19960354
Q120030114
median20081123
Q320170415
95-th percentile20200812
Maximum20210423
Range10209297
Interquartile range (IQR)140301.5

Descriptive statistics

Standard deviation287324.04
Coefficient of variation (CV)0.01430798
Kurtosis1125.0332
Mean20081384
Median Absolute Deviation (MAD)70093
Skewness-32.057473
Sum2.7109868 × 1010
Variance8.2555101 × 1010
MonotonicityNot monotonic
2024-04-17T13:11:10.706072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20030203 43
 
3.2%
20030204 16
 
1.2%
20030121 7
 
0.5%
20210420 4
 
0.3%
19991126 3
 
0.2%
20020509 3
 
0.2%
20030111 3
 
0.2%
20141124 3
 
0.2%
20200709 3
 
0.2%
20191212 3
 
0.2%
Other values (1134) 1262
93.5%
ValueCountFrequency (%)
10001126 1
0.1%
19811121 1
0.1%
19820526 1
0.1%
19821015 1
0.1%
19840707 1
0.1%
19860618 1
0.1%
19890414 1
0.1%
19890519 1
0.1%
19890823 1
0.1%
19891031 1
0.1%
ValueCountFrequency (%)
20210423 1
 
0.1%
20210420 4
0.3%
20210419 1
 
0.1%
20210406 1
 
0.1%
20210331 2
0.1%
20210325 1
 
0.1%
20210323 1
 
0.1%
20210322 1
 
0.1%
20210319 1
 
0.1%
20210316 1
 
0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1350
Missing (%)100.0%
Memory size12.0 KiB

영업상태구분코드
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
1
786 
3
457 
4
105 
2
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 786
58.2%
3 457
33.9%
4 105
 
7.8%
2 2
 
0.1%

Length

2024-04-17T13:11:10.818341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T13:11:10.912380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 786
58.2%
3 457
33.9%
4 105
 
7.8%
2 2
 
0.1%

영업상태명
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
영업/정상
786 
폐업
457 
취소/말소/만료/정지/중지
105 
휴업
 
2

Length

Max length14
Median length5
Mean length4.68
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 786
58.2%
폐업 457
33.9%
취소/말소/만료/정지/중지 105
 
7.8%
휴업 2
 
0.1%

Length

2024-04-17T13:11:11.008162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T13:11:11.095560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 786
58.2%
폐업 457
33.9%
취소/말소/만료/정지/중지 105
 
7.8%
휴업 2
 
0.1%

상세영업상태코드
Categorical

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
13
786 
3
456 
35
105 
2
 
2
34
 
1

Length

Max length2
Median length2
Mean length1.6607407
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
13 786
58.2%
3 456
33.8%
35 105
 
7.8%
2 2
 
0.1%
34 1
 
0.1%

Length

2024-04-17T13:11:11.184358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T13:11:11.272655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 786
58.2%
3 456
33.8%
35 105
 
7.8%
2 2
 
0.1%
34 1
 
0.1%

상세영업상태명
Categorical

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
영업중
786 
폐업
456 
직권말소
105 
휴업
 
2
영업장폐쇄
 
1

Length

Max length5
Median length3
Mean length2.74
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 786
58.2%
폐업 456
33.8%
직권말소 105
 
7.8%
휴업 2
 
0.1%
영업장폐쇄 1
 
0.1%

Length

2024-04-17T13:11:11.363163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T13:11:11.447226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 786
58.2%
폐업 456
33.8%
직권말소 105
 
7.8%
휴업 2
 
0.1%
영업장폐쇄 1
 
0.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct407
Distinct (%)74.4%
Missing803
Missing (%)59.5%
Infinite0
Infinite (%)0.0%
Mean20116173
Minimum19980211
Maximum20210426
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.0 KiB
2024-04-17T13:11:11.546427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19980211
5-th percentile20030418
Q120060770
median20111202
Q320180302
95-th percentile20200130
Maximum20210426
Range230215
Interquartile range (IQR)119532.5

Descriptive statistics

Standard deviation60521.76
Coefficient of variation (CV)0.0030086121
Kurtosis-1.3191475
Mean20116173
Median Absolute Deviation (MAD)59699
Skewness-0.12875472
Sum1.1003546 × 1010
Variance3.6628834 × 109
MonotonicityNot monotonic
2024-04-17T13:11:11.655411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20180302 27
 
2.0%
20181204 11
 
0.8%
20040504 10
 
0.7%
20190409 9
 
0.7%
20190416 8
 
0.6%
20070801 6
 
0.4%
20140411 6
 
0.4%
20070111 5
 
0.4%
20131127 5
 
0.4%
20030419 4
 
0.3%
Other values (397) 456
33.8%
(Missing) 803
59.5%
ValueCountFrequency (%)
19980211 1
0.1%
19980302 1
0.1%
19990129 1
0.1%
19990325 1
0.1%
19990607 1
0.1%
19990623 1
0.1%
19990816 1
0.1%
19991130 1
0.1%
19991231 1
0.1%
20000825 1
0.1%
ValueCountFrequency (%)
20210426 1
 
0.1%
20210415 1
 
0.1%
20210310 1
 
0.1%
20210208 1
 
0.1%
20210119 1
 
0.1%
20201211 3
0.2%
20201126 1
 
0.1%
20201109 1
 
0.1%
20201031 1
 
0.1%
20201029 1
 
0.1%

휴업시작일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
<NA>
1348 
20030108
 
1
20070801
 
1

Length

Max length8
Median length4
Mean length4.0059259
Min length4

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1348
99.9%
20030108 1
 
0.1%
20070801 1
 
0.1%

Length

2024-04-17T13:11:11.772706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T13:11:11.861569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1348
99.9%
20030108 1
 
0.1%
20070801 1
 
0.1%

휴업종료일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
<NA>
1348 
20031231
 
1
20421031
 
1

Length

Max length8
Median length4
Mean length4.0059259
Min length4

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1348
99.9%
20031231 1
 
0.1%
20421031 1
 
0.1%

Length

2024-04-17T13:11:11.951860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T13:11:12.041613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1348
99.9%
20031231 1
 
0.1%
20421031 1
 
0.1%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1350
Missing (%)100.0%
Memory size12.0 KiB

소재지전화
Text

MISSING 

Distinct996
Distinct (%)97.6%
Missing329
Missing (%)24.4%
Memory size10.7 KiB
2024-04-17T13:11:12.229560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12
Mean length10.127326
Min length4

Characters and Unicode

Total characters10340
Distinct characters15
Distinct categories6 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique972 ?
Unique (%)95.2%

Sample

1st row051-740-7960
2nd row744-6366
3rd row051-747-0336
4th row051-731-1469
5th row051-531-1516
ValueCountFrequency (%)
051 6
 
0.6%
051-905-0444 3
 
0.3%
515-5830 2
 
0.2%
817-5056 2
 
0.2%
203 2
 
0.2%
515-0034 2
 
0.2%
625-1804 2
 
0.2%
582-9997 2
 
0.2%
051-971-5522 2
 
0.2%
627-5056 2
 
0.2%
Other values (992) 1008
97.6%
2024-04-17T13:11:12.548377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1516
14.7%
0 1399
13.5%
5 1340
13.0%
1 1291
12.5%
2 832
8.0%
7 755
7.3%
8 712
6.9%
3 709
6.9%
6 667
6.5%
4 613
5.9%
Other values (5) 506
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8795
85.1%
Dash Punctuation 1516
 
14.7%
Space Separator 12
 
0.1%
Close Punctuation 11
 
0.1%
Other Punctuation 3
 
< 0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1399
15.9%
5 1340
15.2%
1 1291
14.7%
2 832
9.5%
7 755
8.6%
8 712
8.1%
3 709
8.1%
6 667
7.6%
4 613
7.0%
9 477
 
5.4%
Dash Punctuation
ValueCountFrequency (%)
- 1516
100.0%
Space Separator
ValueCountFrequency (%)
12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10340
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1516
14.7%
0 1399
13.5%
5 1340
13.0%
1 1291
12.5%
2 832
8.0%
7 755
7.3%
8 712
6.9%
3 709
6.9%
6 667
6.5%
4 613
5.9%
Other values (5) 506
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10340
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1516
14.7%
0 1399
13.5%
5 1340
13.0%
1 1291
12.5%
2 832
8.0%
7 755
7.3%
8 712
6.9%
3 709
6.9%
6 667
6.5%
4 613
5.9%
Other values (5) 506
 
4.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1350
Missing (%)100.0%
Memory size12.0 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct421
Distinct (%)54.3%
Missing575
Missing (%)42.6%
Infinite0
Infinite (%)0.0%
Mean610546.72
Minimum600016
Maximum619963
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.0 KiB
2024-04-17T13:11:12.669174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum600016
5-th percentile601808
Q1607804
median611805
Q3614106
95-th percentile617835
Maximum619963
Range19947
Interquartile range (IQR)6302

Descriptive statistics

Standard deviation5092.3524
Coefficient of variation (CV)0.0083406433
Kurtosis-0.8138038
Mean610546.72
Median Absolute Deviation (MAD)3968
Skewness-0.21110175
Sum4.7317371 × 108
Variance25932053
MonotonicityNot monotonic
2024-04-17T13:11:12.784337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
604851 11
 
0.8%
612842 9
 
0.7%
608805 8
 
0.6%
616852 8
 
0.6%
609839 8
 
0.6%
619963 6
 
0.4%
608808 6
 
0.4%
607829 6
 
0.4%
619905 6
 
0.4%
608832 5
 
0.4%
Other values (411) 702
52.0%
(Missing) 575
42.6%
ValueCountFrequency (%)
600016 1
 
0.1%
600021 1
 
0.1%
600025 1
 
0.1%
600033 1
 
0.1%
600045 1
 
0.1%
600046 4
0.3%
600051 1
 
0.1%
600060 5
0.4%
600074 2
 
0.1%
600091 1
 
0.1%
ValueCountFrequency (%)
619963 6
0.4%
619962 1
 
0.1%
619905 6
0.4%
619903 3
0.2%
619901 3
0.2%
618814 5
0.4%
618270 1
 
0.1%
618200 2
 
0.1%
617846 1
 
0.1%
617842 1
 
0.1%

소재지전체주소
Text

MISSING 

Distinct1280
Distinct (%)96.7%
Missing27
Missing (%)2.0%
Memory size10.7 KiB
2024-04-17T13:11:13.028924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length47
Mean length24.359033
Min length13

Characters and Unicode

Total characters32227
Distinct characters348
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1238 ?
Unique (%)93.6%

Sample

1st row부산광역시 해운대구 우동 601-15
2nd row부산광역시 해운대구 우동 1500 벡스코 B28호
3rd row부산광역시 해운대구 우동 1458 인텔리움센텀 203호
4th row부산광역시 해운대구 송정동 442-3 화이바비치텔
5th row부산광역시 해운대구 재송동 933-31
ValueCountFrequency (%)
부산광역시 1323
 
21.3%
부산진구 189
 
3.0%
해운대구 167
 
2.7%
동래구 120
 
1.9%
남구 108
 
1.7%
사하구 107
 
1.7%
금정구 99
 
1.6%
연제구 84
 
1.4%
사상구 83
 
1.3%
북구 81
 
1.3%
Other values (1815) 3838
61.9%
2024-04-17T13:11:13.397935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4879
 
15.1%
부 1639
 
5.1%
산 1612
 
5.0%
동 1543
 
4.8%
1 1370
 
4.3%
광 1369
 
4.2%
시 1344
 
4.2%
구 1328
 
4.1%
역 1324
 
4.1%
- 1177
 
3.7%
Other values (338) 14642
45.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 19322
60.0%
Decimal Number 6635
 
20.6%
Space Separator 4879
 
15.1%
Dash Punctuation 1177
 
3.7%
Uppercase Letter 93
 
0.3%
Other Punctuation 62
 
0.2%
Open Punctuation 23
 
0.1%
Close Punctuation 23
 
0.1%
Math Symbol 7
 
< 0.1%
Lowercase Letter 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 1639
 
8.5%
산 1612
 
8.3%
동 1543
 
8.0%
광 1369
 
7.1%
시 1344
 
7.0%
구 1328
 
6.9%
역 1324
 
6.9%
지 1165
 
6.0%
번 1082
 
5.6%
대 306
 
1.6%
Other values (292) 6610
34.2%
Uppercase Letter
ValueCountFrequency (%)
B 20
21.5%
A 10
10.8%
S 9
9.7%
C 6
 
6.5%
K 6
 
6.5%
L 5
 
5.4%
T 4
 
4.3%
I 4
 
4.3%
N 4
 
4.3%
E 3
 
3.2%
Other values (11) 22
23.7%
Decimal Number
ValueCountFrequency (%)
1 1370
20.6%
2 905
13.6%
3 796
12.0%
4 698
10.5%
5 585
8.8%
0 494
 
7.4%
7 492
 
7.4%
6 474
 
7.1%
8 449
 
6.8%
9 372
 
5.6%
Other Punctuation
ValueCountFrequency (%)
, 42
67.7%
. 15
 
24.2%
& 2
 
3.2%
/ 2
 
3.2%
@ 1
 
1.6%
Lowercase Letter
ValueCountFrequency (%)
e 2
33.3%
s 1
16.7%
k 1
16.7%
b 1
16.7%
g 1
16.7%
Space Separator
ValueCountFrequency (%)
4879
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1177
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Math Symbol
ValueCountFrequency (%)
~ 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 19321
60.0%
Common 12806
39.7%
Latin 99
 
0.3%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 1639
 
8.5%
산 1612
 
8.3%
동 1543
 
8.0%
광 1369
 
7.1%
시 1344
 
7.0%
구 1328
 
6.9%
역 1324
 
6.9%
지 1165
 
6.0%
번 1082
 
5.6%
대 306
 
1.6%
Other values (291) 6609
34.2%
Latin
ValueCountFrequency (%)
B 20
20.2%
A 10
 
10.1%
S 9
 
9.1%
C 6
 
6.1%
K 6
 
6.1%
L 5
 
5.1%
T 4
 
4.0%
I 4
 
4.0%
N 4
 
4.0%
E 3
 
3.0%
Other values (16) 28
28.3%
Common
ValueCountFrequency (%)
4879
38.1%
1 1370
 
10.7%
- 1177
 
9.2%
2 905
 
7.1%
3 796
 
6.2%
4 698
 
5.5%
5 585
 
4.6%
0 494
 
3.9%
7 492
 
3.8%
6 474
 
3.7%
Other values (10) 936
 
7.3%
Han
ValueCountFrequency (%)
盧 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 19321
60.0%
ASCII 12905
40.0%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4879
37.8%
1 1370
 
10.6%
- 1177
 
9.1%
2 905
 
7.0%
3 796
 
6.2%
4 698
 
5.4%
5 585
 
4.5%
0 494
 
3.8%
7 492
 
3.8%
6 474
 
3.7%
Other values (36) 1035
 
8.0%
Hangul
ValueCountFrequency (%)
부 1639
 
8.5%
산 1612
 
8.3%
동 1543
 
8.0%
광 1369
 
7.1%
시 1344
 
7.0%
구 1328
 
6.9%
역 1324
 
6.9%
지 1165
 
6.0%
번 1082
 
5.6%
대 306
 
1.6%
Other values (291) 6609
34.2%
CJK Compat Ideographs
ValueCountFrequency (%)
盧 1
100.0%

도로명전체주소
Text

MISSING 

Distinct1302
Distinct (%)99.0%
Missing35
Missing (%)2.6%
Memory size10.7 KiB
2024-04-17T13:11:13.663882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length49
Mean length30.741445
Min length17

Characters and Unicode

Total characters40425
Distinct characters400
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1289 ?
Unique (%)98.0%

Sample

1st row부산광역시 해운대구 중동1로 11-1, 지하층 (우동)
2nd row부산광역시 해운대구 APEC로 55, 벡스코제1전시장 B28호 (우동)
3rd row부산광역시 해운대구 센텀6로 21, 인텔리움센텀 2층 203호 (우동)
4th row부산광역시 해운대구 송정광어골로 63, 4층 (송정동, 화이바비치텔)
5th row부산광역시 해운대구 해운대로76번길 16, 4층 (재송동)
ValueCountFrequency (%)
부산광역시 1315
 
16.8%
부산진구 188
 
2.4%
해운대구 166
 
2.1%
동래구 119
 
1.5%
3층 119
 
1.5%
사하구 114
 
1.5%
남구 113
 
1.4%
금정구 98
 
1.3%
2층 90
 
1.2%
연제구 83
 
1.1%
Other values (1882) 5407
69.2%
2024-04-17T13:11:14.053622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6865
 
17.0%
동 1676
 
4.1%
부 1648
 
4.1%
산 1639
 
4.1%
시 1409
 
3.5%
광 1408
 
3.5%
구 1344
 
3.3%
역 1316
 
3.3%
로 1306
 
3.2%
) 1293
 
3.2%
Other values (390) 20521
50.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 23644
58.5%
Space Separator 6865
 
17.0%
Decimal Number 5940
 
14.7%
Close Punctuation 1294
 
3.2%
Open Punctuation 1294
 
3.2%
Other Punctuation 1105
 
2.7%
Dash Punctuation 140
 
0.3%
Uppercase Letter 129
 
0.3%
Math Symbol 9
 
< 0.1%
Lowercase Letter 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1676
 
7.1%
부 1648
 
7.0%
산 1639
 
6.9%
시 1409
 
6.0%
광 1408
 
6.0%
구 1344
 
5.7%
역 1316
 
5.6%
로 1306
 
5.5%
대 684
 
2.9%
층 638
 
2.7%
Other values (338) 10576
44.7%
Uppercase Letter
ValueCountFrequency (%)
B 36
27.9%
S 14
 
10.9%
A 12
 
9.3%
K 8
 
6.2%
C 7
 
5.4%
L 6
 
4.7%
H 5
 
3.9%
Y 5
 
3.9%
I 4
 
3.1%
E 4
 
3.1%
Other values (14) 28
21.7%
Decimal Number
ValueCountFrequency (%)
1 1208
20.3%
2 938
15.8%
3 759
12.8%
4 580
9.8%
0 576
9.7%
5 469
 
7.9%
6 428
 
7.2%
8 345
 
5.8%
7 337
 
5.7%
9 300
 
5.1%
Other Punctuation
ValueCountFrequency (%)
, 1083
98.0%
. 14
 
1.3%
/ 3
 
0.3%
& 2
 
0.2%
@ 1
 
0.1%
* 1
 
0.1%
· 1
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
e 2
40.0%
s 1
20.0%
b 1
20.0%
k 1
20.0%
Close Punctuation
ValueCountFrequency (%)
) 1293
99.9%
] 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 1293
99.9%
[ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
6865
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 140
100.0%
Math Symbol
ValueCountFrequency (%)
~ 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 23643
58.5%
Common 16647
41.2%
Latin 134
 
0.3%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1676
 
7.1%
부 1648
 
7.0%
산 1639
 
6.9%
시 1409
 
6.0%
광 1408
 
6.0%
구 1344
 
5.7%
역 1316
 
5.6%
로 1306
 
5.5%
대 684
 
2.9%
층 638
 
2.7%
Other values (337) 10575
44.7%
Latin
ValueCountFrequency (%)
B 36
26.9%
S 14
 
10.4%
A 12
 
9.0%
K 8
 
6.0%
C 7
 
5.2%
L 6
 
4.5%
H 5
 
3.7%
Y 5
 
3.7%
I 4
 
3.0%
E 4
 
3.0%
Other values (18) 33
24.6%
Common
ValueCountFrequency (%)
6865
41.2%
) 1293
 
7.8%
( 1293
 
7.8%
1 1208
 
7.3%
, 1083
 
6.5%
2 938
 
5.6%
3 759
 
4.6%
4 580
 
3.5%
0 576
 
3.5%
5 469
 
2.8%
Other values (14) 1583
 
9.5%
Han
ValueCountFrequency (%)
盧 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 23643
58.5%
ASCII 16780
41.5%
CJK Compat Ideographs 1
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6865
40.9%
) 1293
 
7.7%
( 1293
 
7.7%
1 1208
 
7.2%
, 1083
 
6.5%
2 938
 
5.6%
3 759
 
4.5%
4 580
 
3.5%
0 576
 
3.4%
5 469
 
2.8%
Other values (41) 1716
 
10.2%
Hangul
ValueCountFrequency (%)
동 1676
 
7.1%
부 1648
 
7.0%
산 1639
 
6.9%
시 1409
 
6.0%
광 1408
 
6.0%
구 1344
 
5.7%
역 1316
 
5.6%
로 1306
 
5.5%
대 684
 
2.9%
층 638
 
2.7%
Other values (337) 10575
44.7%
CJK Compat Ideographs
ValueCountFrequency (%)
盧 1
100.0%
None
ValueCountFrequency (%)
· 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct534
Distinct (%)62.2%
Missing492
Missing (%)36.4%
Infinite0
Infinite (%)0.0%
Mean81129.228
Minimum46004
Maximum619905
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.0 KiB
2024-04-17T13:11:14.168075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46004
5-th percentile46230
Q147142.5
median47737
Q348510
95-th percentile603126.15
Maximum619905
Range573901
Interquartile range (IQR)1367.5

Descriptive statistics

Standard deviation133117.41
Coefficient of variation (CV)1.640807
Kurtosis11.968334
Mean81129.228
Median Absolute Deviation (MAD)719
Skewness3.733344
Sum69608878
Variance1.7720245 × 1010
MonotonicityNot monotonic
2024-04-17T13:11:14.264220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
46726 14
 
1.0%
48059 13
 
1.0%
48119 11
 
0.8%
46759 7
 
0.5%
46015 7
 
0.5%
48111 7
 
0.5%
48106 6
 
0.4%
46765 6
 
0.4%
46243 6
 
0.4%
46230 6
 
0.4%
Other values (524) 775
57.4%
(Missing) 492
36.4%
ValueCountFrequency (%)
46004 1
 
0.1%
46008 4
0.3%
46015 7
0.5%
46017 4
0.3%
46023 1
 
0.1%
46024 1
 
0.1%
46032 1
 
0.1%
46048 2
 
0.1%
46054 1
 
0.1%
46055 1
 
0.1%
ValueCountFrequency (%)
619905 2
0.1%
619903 3
0.2%
619901 1
 
0.1%
617723 1
 
0.1%
616852 1
 
0.1%
614745 1
 
0.1%
614101 1
 
0.1%
613828 1
 
0.1%
613801 1
 
0.1%
612889 1
 
0.1%

사업장명
Text

Distinct1245
Distinct (%)92.2%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
2024-04-17T13:11:14.492858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length21
Mean length7.1866667
Min length2

Characters and Unicode

Total characters9702
Distinct characters532
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1165 ?
Unique (%)86.3%

Sample

1st row웰키랩
2nd row(주)상상피트니스 벡스코
3rd row동네몸짱형
4th row유네스코짐
5th rowDS휘트니스
ValueCountFrequency (%)
휘트니스 84
 
4.3%
피트니스 51
 
2.6%
헬스 33
 
1.7%
gym 30
 
1.5%
짐 19
 
1.0%
헬스클럽 16
 
0.8%
핏 12
 
0.6%
더 11
 
0.6%
pt 10
 
0.5%
트레이닝 8
 
0.4%
Other values (1384) 1673
85.9%
2024-04-17T13:11:15.057973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 1082
 
11.2%
597
 
6.2%
헬 469
 
4.8%
트 392
 
4.0%
니 308
 
3.2%
휘 203
 
2.1%
럽 183
 
1.9%
클 180
 
1.9%
피 144
 
1.5%
짐 141
 
1.5%
Other values (522) 6003
61.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7863
81.0%
Uppercase Letter 713
 
7.3%
Space Separator 597
 
6.2%
Lowercase Letter 237
 
2.4%
Close Punctuation 82
 
0.8%
Open Punctuation 82
 
0.8%
Decimal Number 68
 
0.7%
Other Punctuation 53
 
0.5%
Dash Punctuation 3
 
< 0.1%
Math Symbol 2
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 1082
 
13.8%
헬 469
 
6.0%
트 392
 
5.0%
니 308
 
3.9%
휘 203
 
2.6%
럽 183
 
2.3%
클 180
 
2.3%
피 144
 
1.8%
짐 141
 
1.8%
이 126
 
1.6%
Other values (450) 4635
58.9%
Uppercase Letter
ValueCountFrequency (%)
M 72
 
10.1%
T 71
 
10.0%
G 61
 
8.6%
Y 56
 
7.9%
S 49
 
6.9%
P 47
 
6.6%
A 45
 
6.3%
O 35
 
4.9%
I 32
 
4.5%
F 28
 
3.9%
Other values (15) 217
30.4%
Lowercase Letter
ValueCountFrequency (%)
e 26
11.0%
i 25
10.5%
s 22
9.3%
o 22
9.3%
t 20
 
8.4%
n 20
 
8.4%
a 14
 
5.9%
r 14
 
5.9%
m 13
 
5.5%
y 11
 
4.6%
Other values (12) 50
21.1%
Decimal Number
ValueCountFrequency (%)
2 20
29.4%
1 12
17.6%
4 7
 
10.3%
3 7
 
10.3%
5 6
 
8.8%
0 6
 
8.8%
6 4
 
5.9%
8 3
 
4.4%
7 2
 
2.9%
9 1
 
1.5%
Other Punctuation
ValueCountFrequency (%)
& 22
41.5%
. 18
34.0%
, 7
 
13.2%
: 2
 
3.8%
· 2
 
3.8%
' 1
 
1.9%
# 1
 
1.9%
Math Symbol
ValueCountFrequency (%)
⇒ 1
50.0%
+ 1
50.0%
Space Separator
ValueCountFrequency (%)
597
100.0%
Close Punctuation
ValueCountFrequency (%)
) 82
100.0%
Open Punctuation
ValueCountFrequency (%)
( 82
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Other Number
ValueCountFrequency (%)
₂ 1
100.0%
Other Symbol
ValueCountFrequency (%)
℃ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7862
81.0%
Latin 950
 
9.8%
Common 889
 
9.2%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 1082
 
13.8%
헬 469
 
6.0%
트 392
 
5.0%
니 308
 
3.9%
휘 203
 
2.6%
럽 183
 
2.3%
클 180
 
2.3%
피 144
 
1.8%
짐 141
 
1.8%
이 126
 
1.6%
Other values (449) 4634
58.9%
Latin
ValueCountFrequency (%)
M 72
 
7.6%
T 71
 
7.5%
G 61
 
6.4%
Y 56
 
5.9%
S 49
 
5.2%
P 47
 
4.9%
A 45
 
4.7%
O 35
 
3.7%
I 32
 
3.4%
F 28
 
2.9%
Other values (37) 454
47.8%
Common
ValueCountFrequency (%)
597
67.2%
) 82
 
9.2%
( 82
 
9.2%
& 22
 
2.5%
2 20
 
2.2%
. 18
 
2.0%
1 12
 
1.3%
, 7
 
0.8%
4 7
 
0.8%
3 7
 
0.8%
Other values (15) 35
 
3.9%
Han
ValueCountFrequency (%)
日 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7862
81.0%
ASCII 1834
 
18.9%
None 3
 
< 0.1%
Arrows 1
 
< 0.1%
CJK 1
 
< 0.1%
Letterlike Symbols 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 1082
 
13.8%
헬 469
 
6.0%
트 392
 
5.0%
니 308
 
3.9%
휘 203
 
2.6%
럽 183
 
2.3%
클 180
 
2.3%
피 144
 
1.8%
짐 141
 
1.8%
이 126
 
1.6%
Other values (449) 4634
58.9%
ASCII
ValueCountFrequency (%)
597
32.6%
) 82
 
4.5%
( 82
 
4.5%
M 72
 
3.9%
T 71
 
3.9%
G 61
 
3.3%
Y 56
 
3.1%
S 49
 
2.7%
P 47
 
2.6%
A 45
 
2.5%
Other values (58) 672
36.6%
None
ValueCountFrequency (%)
· 2
66.7%
₂ 1
33.3%
Arrows
ValueCountFrequency (%)
⇒ 1
100.0%
CJK
ValueCountFrequency (%)
日 1
100.0%
Letterlike Symbols
ValueCountFrequency (%)
℃ 1
100.0%

최종수정시점
Real number (ℝ)

Distinct1348
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0156901 × 1013
Minimum2.0021018 × 1013
Maximum2.0210429 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.0 KiB
2024-04-17T13:11:15.170115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0021018 × 1013
5-th percentile2.0041221 × 1013
Q12.0120515 × 1013
median2.0180529 × 1013
Q32.020032 × 1013
95-th percentile2.0210112 × 1013
Maximum2.0210429 × 1013
Range1.8941101 × 1011
Interquartile range (IQR)7.9804485 × 1010

Descriptive statistics

Standard deviation5.2216455 × 1010
Coefficient of variation (CV)0.0025905001
Kurtosis-0.21070653
Mean2.0156901 × 1013
Median Absolute Deviation (MAD)2.0399025 × 1010
Skewness-1.0287698
Sum2.7211817 × 1016
Variance2.7265581 × 1021
MonotonicityNot monotonic
2024-04-17T13:11:15.286890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20021018132120 3
 
0.2%
20210203093947 1
 
0.1%
20030722174643 1
 
0.1%
20180302183830 1
 
0.1%
20170616171134 1
 
0.1%
20050404153015 1
 
0.1%
20040329165637 1
 
0.1%
20030602102454 1
 
0.1%
20050427095005 1
 
0.1%
20110630125345 1
 
0.1%
Other values (1338) 1338
99.1%
ValueCountFrequency (%)
20021018132120 3
0.2%
20021227135543 1
 
0.1%
20021227141903 1
 
0.1%
20030130153318 1
 
0.1%
20030130153510 1
 
0.1%
20030130153853 1
 
0.1%
20030130154012 1
 
0.1%
20030130154158 1
 
0.1%
20030130154326 1
 
0.1%
20030130154535 1
 
0.1%
ValueCountFrequency (%)
20210429141644 1
0.1%
20210429101817 1
0.1%
20210427125111 1
0.1%
20210426181817 1
0.1%
20210426131909 1
0.1%
20210423163556 1
0.1%
20210423114714 1
0.1%
20210421133943 1
0.1%
20210421091806 1
0.1%
20210420210801 1
0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
I
875 
U
475 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 875
64.8%
U 475
35.2%

Length

2024-04-17T13:11:15.394806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T13:11:15.471436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 875
64.8%
u 475
35.2%

데이터갱신일자
Date

Distinct403
Distinct (%)29.9%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
Minimum2018-08-31 23:59:59
Maximum2021-05-01 02:40:00
2024-04-17T13:11:15.558858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T13:11:15.664619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1350
Missing (%)100.0%
Memory size12.0 KiB

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct1163
Distinct (%)87.4%
Missing19
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean387995.93
Minimum366820.79
Maximum404771.78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.0 KiB
2024-04-17T13:11:15.780013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum366820.79
5-th percentile379195.55
Q1384239.76
median388440.17
Q3391628.98
95-th percentile397874.17
Maximum404771.78
Range37950.995
Interquartile range (IQR)7389.2222

Descriptive statistics

Standard deviation5696.7507
Coefficient of variation (CV)0.014682501
Kurtosis0.31309995
Mean387995.93
Median Absolute Deviation (MAD)3636.6639
Skewness-0.24828304
Sum5.1642259 × 108
Variance32452969
MonotonicityNot monotonic
2024-04-17T13:11:15.897221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
395388.715069604 7
 
0.5%
394340.426549986 5
 
0.4%
392515.689667818 5
 
0.4%
393605.930358633 4
 
0.3%
395272.187921241 4
 
0.3%
383217.253829884 3
 
0.2%
395615.201853958 3
 
0.2%
387686.194940483 3
 
0.2%
389816.233000769 3
 
0.2%
398330.516530402 3
 
0.2%
Other values (1153) 1291
95.6%
(Missing) 19
 
1.4%
ValueCountFrequency (%)
366820.787750249 1
0.1%
366932.944608323 1
0.1%
369062.766773096 1
0.1%
370728.0 1
0.1%
371178.823833358 2
0.1%
371179.51398421 1
0.1%
371181.352545926 2
0.1%
371209.375961705 2
0.1%
373056.59115396 1
0.1%
373088.087508096 1
0.1%
ValueCountFrequency (%)
404771.782281376 1
0.1%
402771.0 1
0.1%
401890.260367963 1
0.1%
401875.067293802 1
0.1%
401848.512723149 1
0.1%
401766.308769705 1
0.1%
401733.802474598 1
0.1%
401674.734404276 1
0.1%
401657.283850025 1
0.1%
401579.584673965 1
0.1%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct1163
Distinct (%)87.4%
Missing19
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean186923.79
Minimum173961.91
Maximum207205.17
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.0 KiB
2024-04-17T13:11:16.009256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum173961.91
5-th percentile177936.28
Q1183580.45
median186827.57
Q3190580.19
95-th percentile196203.79
Maximum207205.17
Range33243.255
Interquartile range (IQR)6999.7393

Descriptive statistics

Standard deviation5656.7502
Coefficient of variation (CV)0.030262334
Kurtosis0.40265424
Mean186923.79
Median Absolute Deviation (MAD)3678.9068
Skewness0.32377984
Sum2.4879556 × 108
Variance31998823
MonotonicityNot monotonic
2024-04-17T13:11:16.114185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
186268.853282623 7
 
0.5%
187360.769460221 5
 
0.4%
183481.94111857 5
 
0.4%
188324.973749177 4
 
0.3%
186102.052953595 4
 
0.3%
194786.946259107 3
 
0.2%
186406.750870936 3
 
0.2%
189911.430545728 3
 
0.2%
193329.605871168 3
 
0.2%
187771.511373596 3
 
0.2%
Other values (1153) 1291
95.6%
(Missing) 19
 
1.4%
ValueCountFrequency (%)
173961.914773076 1
0.1%
173968.574615591 2
0.1%
174140.916066183 1
0.1%
174289.976688419 1
0.1%
174307.148168245 1
0.1%
174403.0 1
0.1%
174596.132939092 2
0.1%
174714.471168374 1
0.1%
174811.513941031 1
0.1%
174885.756922702 1
0.1%
ValueCountFrequency (%)
207205.169925653 1
0.1%
206102.964822493 1
0.1%
206095.724959308 1
0.1%
206037.755445591 1
0.1%
206029.122466099 1
0.1%
205851.438811879 1
0.1%
205142.166945659 1
0.1%
204747.884437376 1
0.1%
204718.966111877 1
0.1%
204661.761497689 1
0.1%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
체력단련장업
1350 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
체력단련장업 1350
100.0%

Length

2024-04-17T13:11:16.221136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T13:11:16.298742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
체력단련장업 1350
100.0%

공사립구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
사립
1350 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립 1350
100.0%

Length

2024-04-17T13:11:16.397275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T13:11:16.490200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 1350
100.0%

보험가입여부코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
<NA>
1043 
0
278 
Y
 
21
1
 
8

Length

Max length4
Median length4
Mean length3.3177778
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1043
77.3%
0 278
 
20.6%
Y 21
 
1.6%
1 8
 
0.6%

Length

2024-04-17T13:11:16.579495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T13:11:16.663406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1043
77.3%
0 278
 
20.6%
y 21
 
1.6%
1 8
 
0.6%

지도자수
Categorical

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
<NA>
784 
1
404 
2
158 
0
 
3
3
 
1

Length

Max length4
Median length4
Mean length2.7422222
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row1
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 784
58.1%
1 404
29.9%
2 158
 
11.7%
0 3
 
0.2%
3 1
 
0.1%

Length

2024-04-17T13:11:16.747753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T13:11:16.833198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 784
58.1%
1 404
29.9%
2 158
 
11.7%
0 3
 
0.2%
3 1
 
0.1%

건축물동수
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)4.1%
Missing1155
Missing (%)85.6%
Infinite0
Infinite (%)0.0%
Mean2.6615385
Minimum0
Maximum302
Zeros16
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size12.0 KiB
2024-04-17T13:11:16.908154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile2
Maximum302
Range302
Interquartile range (IQR)0

Descriptive statistics

Standard deviation21.5729
Coefficient of variation (CV)8.1054248
Kurtosis194.03504
Mean2.6615385
Median Absolute Deviation (MAD)0
Skewness13.913497
Sum519
Variance465.39001
MonotonicityNot monotonic
2024-04-17T13:11:16.986519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 162
 
12.0%
0 16
 
1.2%
2 8
 
0.6%
3 5
 
0.4%
8 1
 
0.1%
4 1
 
0.1%
12 1
 
0.1%
302 1
 
0.1%
(Missing) 1155
85.6%
ValueCountFrequency (%)
0 16
 
1.2%
1 162
12.0%
2 8
 
0.6%
3 5
 
0.4%
4 1
 
0.1%
8 1
 
0.1%
12 1
 
0.1%
302 1
 
0.1%
ValueCountFrequency (%)
302 1
 
0.1%
12 1
 
0.1%
8 1
 
0.1%
4 1
 
0.1%
3 5
 
0.4%
2 8
 
0.6%
1 162
12.0%
0 16
 
1.2%

건축물연면적
Real number (ℝ)

MISSING  ZEROS 

Distinct670
Distinct (%)92.3%
Missing624
Missing (%)46.2%
Infinite0
Infinite (%)0.0%
Mean34517.67
Minimum0
Maximum10735378
Zeros18
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size12.0 KiB
2024-04-17T13:11:17.091506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile95.595
Q1229.495
median597.92
Q32481.4775
95-th percentile20976.73
Maximum10735378
Range10735378
Interquartile range (IQR)2251.9825

Descriptive statistics

Standard deviation517285.44
Coefficient of variation (CV)14.986105
Kurtosis365.82246
Mean34517.67
Median Absolute Deviation (MAD)469.94
Skewness18.967335
Sum25059829
Variance2.6758423 × 1011
MonotonicityNot monotonic
2024-04-17T13:11:17.211278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 18
 
1.3%
120.0 8
 
0.6%
0.1 5
 
0.4%
330.0 4
 
0.3%
165.0 3
 
0.2%
10735.37 3
 
0.2%
498.96 2
 
0.1%
82.5 2
 
0.1%
6857.22 2
 
0.1%
119.0 2
 
0.1%
Other values (660) 677
50.1%
(Missing) 624
46.2%
ValueCountFrequency (%)
0.0 18
1.3%
0.1 5
 
0.4%
10.0 1
 
0.1%
66.36 1
 
0.1%
69.18 1
 
0.1%
80.0 1
 
0.1%
80.85 1
 
0.1%
81.93 1
 
0.1%
82.0 1
 
0.1%
82.5 2
 
0.1%
ValueCountFrequency (%)
10735378.0 1
0.1%
8789399.0 1
0.1%
1077097.0 1
0.1%
839918.0 1
0.1%
572550.0 1
0.1%
222898.94 1
0.1%
143745.0 1
0.1%
130214.0 1
0.1%
96115.64 1
0.1%
88666.52 1
0.1%

회원모집총인원
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)77.8%
Missing1341
Missing (%)99.3%
Infinite0
Infinite (%)0.0%
Mean84.555556
Minimum1
Maximum250
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.0 KiB
2024-04-17T13:11:17.307429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.6
Q120
median60
Q3100
95-th percentile230
Maximum250
Range249
Interquartile range (IQR)80

Descriptive statistics

Standard deviation88.497332
Coefficient of variation (CV)1.0466176
Kurtosis-0.022374274
Mean84.555556
Median Absolute Deviation (MAD)40
Skewness1.0489886
Sum761
Variance7831.7778
MonotonicityNot monotonic
2024-04-17T13:11:17.409743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
100 2
 
0.1%
20 2
 
0.1%
250 1
 
0.1%
1 1
 
0.1%
200 1
 
0.1%
10 1
 
0.1%
60 1
 
0.1%
(Missing) 1341
99.3%
ValueCountFrequency (%)
1 1
0.1%
10 1
0.1%
20 2
0.1%
60 1
0.1%
100 2
0.1%
200 1
0.1%
250 1
0.1%
ValueCountFrequency (%)
250 1
0.1%
200 1
0.1%
100 2
0.1%
60 1
0.1%
20 2
0.1%
10 1
0.1%
1 1
0.1%

세부업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1350
Missing (%)100.0%
Memory size12.0 KiB

법인명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1350
Missing (%)100.0%
Memory size12.0 KiB

Unnamed: 37
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1350
Missing (%)100.0%
Memory size12.0 KiB

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명Unnamed: 37
01체력단련장업10_42_01_P3330000CDFH330106202100000420210203<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 우동 601-15부산광역시 해운대구 중동1로 11-1, 지하층 (우동)48095웰키랩20210203093947I2021-02-05 00:23:13.0<NA>396848.03647187099.346749체력단련장업사립<NA>111145.48<NA><NA><NA><NA>
12체력단련장업10_42_01_P3330000CDFH330106202100000320210121<NA>1영업/정상13영업중<NA><NA><NA><NA>051-740-7960<NA><NA>부산광역시 해운대구 우동 1500 벡스코 B28호부산광역시 해운대구 APEC로 55, 벡스코제1전시장 B28호 (우동)48060(주)상상피트니스 벡스코20210121133410I2021-01-23 00:23:11.0<NA>394482.139208187606.035424체력단련장업사립<NA><NA><NA><NA><NA><NA><NA><NA>
23체력단련장업10_42_01_P3330000CDFH330106202100000220210112<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 우동 1458 인텔리움센텀 203호부산광역시 해운대구 센텀6로 21, 인텔리움센텀 2층 203호 (우동)48059동네몸짱형20210112101800I2021-01-14 00:23:05.0<NA>393901.992103188122.938094체력단련장업사립<NA><NA><NA><NA><NA><NA><NA><NA>
34체력단련장업10_42_01_P3330000CDFH330106202000001220201203<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 송정동 442-3 화이바비치텔부산광역시 해운대구 송정광어골로 63, 4층 (송정동, 화이바비치텔)48073유네스코짐20201203183903I2020-12-05 00:23:25.0<NA>400028.496391188500.71259체력단련장업사립<NA><NA><NA>3750.03<NA><NA><NA><NA>
45체력단련장업10_42_01_P3330000CDFH330106202000001320201214<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 재송동 933-31부산광역시 해운대구 해운대로76번길 16, 4층 (재송동)48047DS휘트니스20201214115656I2020-12-16 00:23:06.0<NA>392959.927367189970.691515체력단련장업사립<NA><NA><NA>6036.21<NA><NA><NA><NA>
56체력단련장업10_42_01_P3330000CDFH330106202100000120210105<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 중동 1514-2부산광역시 해운대구 달맞이길65번길 26, 진심피트니스 3층 (중동)48117진심피트니스20210420142811U2021-04-22 02:40:00.0<NA>397971.03885186770.075411체력단련장업사립<NA><NA><NA><NA><NA><NA><NA><NA>
67체력단련장업10_42_01_P3330000CDFH330106201800000720181024<NA>1영업/정상13영업중<NA><NA><NA><NA>744-6366<NA><NA>부산광역시 해운대구 우동 1407번지 해운대두산위브더제니스부산광역시 해운대구 마린시티2로 33, 104동 521호 (우동, 해운대두산위브더제니스)48119골든짐20181024093334I2018-10-26 02:37:27.0<NA>395388.71507186268.853283체력단련장업사립<NA>1<NA><NA><NA><NA><NA><NA>
78체력단련장업10_42_01_P3330000CDFH330106202100000720210319<NA>1영업/정상13영업중<NA><NA><NA><NA>051-747-0336<NA><NA>부산광역시 해운대구 중동 244 4층 해정빌딩부산광역시 해운대구 좌동로 47, 해정빌딩 4층 (중동)48082벡스 휘트니스20210319092855I2021-03-21 00:22:59.0<NA>397743.860615187794.048315체력단련장업사립<NA>2<NA>2378.03<NA><NA><NA><NA>
89체력단련장업10_42_01_P3330000CDFH330106202100000520210226<NA>1영업/정상13영업중<NA><NA><NA><NA>051-731-1469<NA><NA>부산광역시 해운대구 중동 1090-5 3층부산광역시 해운대구 달맞이길 52, 3층 (중동)48097플레이 돔20210226094133I2021-02-28 00:23:01.0<NA>397690.481074186809.657808체력단련장업사립<NA>1<NA>1770.43<NA><NA><NA><NA>
910체력단련장업10_42_01_P3330000CDFH330106202100000620210310<NA>1영업/정상13영업중<NA><NA><NA><NA>051-531-1516<NA><NA>부산광역시 해운대구 반여동 1199-11 센텀대림아파트 상가12동 지하1~5호부산광역시 해운대구 선수촌로 95, 상가12동 지하1층 1~5호 (반여동, 센텀대림아파트)48038워너짐 반여20210419203949U2021-04-21 02:40:00.0<NA>392834.111356191144.530436체력단련장업사립<NA><NA><NA>2404.06<NA><NA><NA><NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명Unnamed: 37
13401341체력단련장업10_42_01_P3300000CDFH330106201500000220150622<NA>4취소/말소/만료/정지/중지35직권말소20190409<NA><NA><NA><NA><NA>607842부산광역시 동래구 온천동 1412-8번지부산광역시 동래구 아시아드대로 224, 2층 (온천동)47837대한휘트니스20190409141803U2019-04-11 02:40:00.0<NA>388180.869382191345.381023체력단련장업사립<NA>113772.29<NA><NA><NA><NA>
13411342체력단련장업10_42_01_P3300000CDFH330106201000000120101008<NA>4취소/말소/만료/정지/중지35직권말소20190409<NA><NA><NA>503-3230<NA>607815부산광역시 동래구 사직동 43-1번지 2층부산광역시 동래구 사직로70번길 76 (사직동,2층)<NA>커브스 사직클럽20190409141706U2019-04-11 02:40:00.0<NA>387295.704894190755.740255체력단련장업사립<NA>112111.15<NA><NA><NA><NA>
13421343체력단련장업10_42_01_P3300000CDFH330106200700000120070103<NA>4취소/말소/만료/정지/중지35직권말소20190409<NA><NA><NA>559-2050<NA>607831부산광역시 동래구 온천동 153-8번지 sk허브스카이위아 b동 13-2, 10-1호부산광역시 동래구 중앙대로 1523, b동 13-2, 10-1호 (온천동,sk허브스카이위아)<NA>(주)우리들척추건강20190409141609U2019-04-11 02:40:00.0<NA>389816.233001193329.605871체력단련장업사립<NA><NA><NA><NA><NA><NA><NA><NA>
13431344체력단련장업10_42_01_P3300000CDFH330106200900000220091014<NA>4취소/말소/만료/정지/중지35직권말소20190409<NA><NA><NA>051-523-8275<NA>607829부산광역시 동래구 안락동 752-2번지 1층 (미래병원)부산광역시 동래구 충렬대로 358 (안락동,1층 (미래병원))<NA>미래스포츠재활센터20190409141639U2019-04-11 02:40:00.0<NA>390961.548163190736.568765체력단련장업사립<NA>114932.36<NA><NA><NA><NA>
13441345체력단련장업10_42_01_P3300000CDFH330106201300000320130712<NA>4취소/말소/만료/정지/중지35직권말소20190409<NA><NA><NA>505-8248<NA>607842부산광역시 동래구 온천동 1412-7번지 7층부산광역시 동래구 아시아드대로 226, 7층 (온천동)47837사랑이넘치는 비만헬스센터20190409141735U2019-04-11 02:40:00.0<NA>388189.897479191362.066784체력단련장업사립<NA>1<NA>1862.1<NA><NA><NA><NA>
13451346체력단련장업10_42_01_P3300000CDFH330106201300000120130204<NA>4취소/말소/만료/정지/중지35직권말소20130227<NA><NA><NA>977-1212<NA>607837부산광역시 동래구 온천동 1436-2번지 지하부산광역시 동래구 중앙대로 1333, 지하층 (온천동)607837건강체육관20130227110826I2018-08-31 23:59:59.0<NA>389126.838137191649.156854체력단련장업사립<NA>111650.8<NA><NA><NA><NA>
13461347체력단련장업10_42_01_P3300000CDFH330106201600000620160628<NA>4취소/말소/만료/정지/중지35직권말소20190409<NA><NA><NA>051-555-2401<NA><NA>부산광역시 동래구 온천동 503-12번지부산광역시 동래구 중앙대로1381번길 11, 3층 (온천동)47728핏샤크20190409141911U2019-04-11 02:40:00.0<NA>389080.150382192119.88735체력단련장업사립<NA>1<NA><NA><NA><NA><NA><NA>
13471348체력단련장업10_42_01_P3250000CDFH330106198900000119891213<NA>4취소/말소/만료/정지/중지35직권말소20130408<NA><NA><NA>051-462-9394<NA>600100부산광역시 중구 대창동2가 36-4번지부산광역시 중구 중앙대로 135 (대창동2가)<NA>영 보디빌딩20130408093527I2018-08-31 23:59:59.0<NA>385642.339442180851.550745체력단련장업사립<NA><NA><NA>112.2<NA><NA><NA><NA>
13481349체력단련장업10_42_01_P3250000CDFH330106200900000120090223<NA>4취소/말소/만료/정지/중지35직권말소20140408<NA><NA><NA>242-0560<NA>600046부산광역시 중구 남포동6가 85번지부산광역시 중구 비프광장로 20 (남포동6가)<NA>파라마운트20140428111713I2018-08-31 23:59:59.0<NA>384819.053112179587.403633체력단련장업사립<NA>2<NA>17605.91100<NA><NA><NA>
13491350체력단련장업10_42_01_P3250000CDFH330106200000000520000107<NA>4취소/말소/만료/정지/중지35직권말소20130408<NA><NA><NA>051-245-9688<NA>600807부산광역시 중구 부평동2가 45-1번지부산광역시 중구 보수대로 16-1 (부평동2가)<NA>그랜드헬스&휘트니스20130408093957I2018-08-31 23:59:59.0<NA>384617.131962179590.603168체력단련장업사립<NA><NA><NA><NA><NA><NA><NA><NA>