Overview

Dataset statistics

Number of variables38
Number of observations1343
Missing cells14790
Missing cells (%)29.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory430.3 KiB
Average record size in memory328.1 B

Variable types

Numeric12
Categorical13
Text5
Unsupported7
DateTime1

Dataset

Description2021-05-01
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 (55.1%)Imbalance
인허가취소일자 has 1343 (100.0%) missing valuesMissing
폐업일자 has 799 (59.5%) missing valuesMissing
재개업일자 has 1343 (100.0%) missing valuesMissing
소재지전화 has 323 (24.1%) missing valuesMissing
소재지면적 has 1343 (100.0%) missing valuesMissing
소재지우편번호 has 568 (42.3%) missing valuesMissing
소재지전체주소 has 27 (2.0%) missing valuesMissing
도로명전체주소 has 35 (2.6%) missing valuesMissing
도로명우편번호 has 492 (36.6%) missing valuesMissing
업태구분명 has 1343 (100.0%) missing valuesMissing
좌표정보(x) has 19 (1.4%) missing valuesMissing
좌표정보(y) has 19 (1.4%) missing valuesMissing
건축물동수 has 1150 (85.6%) missing valuesMissing
건축물연면적 has 623 (46.4%) missing valuesMissing
회원모집총인원 has 1334 (99.3%) missing valuesMissing
세부업종명 has 1343 (100.0%) missing valuesMissing
법인명 has 1343 (100.0%) missing valuesMissing
Unnamed: 37 has 1343 (100.0%) missing valuesMissing
인허가일자 is highly skewed (γ1 = -32.01841237)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 04:11:18.947852
Analysis finished2024-04-17 04:11:19.781401
Duration0.83 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct1343
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean672
Minimum1
Maximum1343
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2024-04-17T13:11:19.839023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile68.1
Q1336.5
median672
Q31007.5
95-th percentile1275.9
Maximum1343
Range1342
Interquartile range (IQR)671

Descriptive statistics

Standard deviation387.83502
Coefficient of variation (CV)0.57713544
Kurtosis-1.2
Mean672
Median Absolute Deviation (MAD)336
Skewness0
Sum902496
Variance150416
MonotonicityStrictly increasing
2024-04-17T13:11:19.976872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
894 1
 
0.1%
902 1
 
0.1%
901 1
 
0.1%
900 1
 
0.1%
899 1
 
0.1%
898 1
 
0.1%
897 1
 
0.1%
896 1
 
0.1%
895 1
 
0.1%
Other values (1333) 1333
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 (%)
1343 1
0.1%
1342 1
0.1%
1341 1
0.1%
1340 1
0.1%
1339 1
0.1%
1338 1
0.1%
1337 1
0.1%
1336 1
0.1%
1335 1
0.1%
1334 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.6 KiB
체력단련장업
1343 

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 1343
100.0%

Length

2024-04-17T13:11:20.100655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T13:11:20.175655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
체력단련장업 1343
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.6 KiB
10_42_01_P
1343 

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 1343
100.0%

Length

2024-04-17T13:11:20.246967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T13:11:20.316570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10_42_01_p 1343
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3325919.6
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2024-04-17T13:11:20.383645image/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 deviation38488.964
Coefficient of variation (CV)0.011572428
Kurtosis-0.76003933
Mean3325919.6
Median Absolute Deviation (MAD)30000
Skewness0.086374555
Sum4.46671 × 109
Variance1.4814004 × 109
MonotonicityNot monotonic
2024-04-17T13:11:20.470630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3290000 188
14.0%
3330000 169
12.6%
3300000 120
8.9%
3340000 117
8.7%
3310000 114
8.5%
3350000 97
7.2%
3370000 84
 
6.3%
3390000 82
 
6.1%
3320000 81
 
6.0%
3380000 72
 
5.4%
Other values (6) 219
16.3%
ValueCountFrequency (%)
3250000 46
 
3.4%
3260000 39
 
2.9%
3270000 35
 
2.6%
3280000 27
 
2.0%
3290000 188
14.0%
3300000 120
8.9%
3310000 114
8.5%
3320000 81
6.0%
3330000 169
12.6%
3340000 117
8.7%
ValueCountFrequency (%)
3400000 36
 
2.7%
3390000 82
6.1%
3380000 72
5.4%
3370000 84
6.3%
3360000 36
 
2.7%
3350000 97
7.2%
3340000 117
8.7%
3330000 169
12.6%
3320000 81
6.0%
3310000 114
8.5%

관리번호
Text

Distinct323
Distinct (%)24.1%
Missing0
Missing (%)0.0%
Memory size10.6 KiB
2024-04-17T13:11:20.631604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters26860
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

Unique105 ?
Unique (%)7.8%

Sample

1st rowCDFH3301062021000004
2nd rowCDFH3301062021000003
3rd rowCDFH3301062021000002
4th rowCDFH3301062020000012
5th rowCDFH3301062020000013
ValueCountFrequency (%)
cdfh3301062020000001 16
 
1.2%
cdfh3301062015000001 16
 
1.2%
cdfh3301062004000002 15
 
1.1%
cdfh3301062003000001 14
 
1.0%
cdfh3301062019000001 14
 
1.0%
cdfh3301062020000002 14
 
1.0%
cdfh3301062005000001 14
 
1.0%
cdfh3301062013000001 14
 
1.0%
cdfh3301062018000001 14
 
1.0%
cdfh3301062014000001 14
 
1.0%
Other values (313) 1198
89.2%
2024-04-17T13:11:20.911348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 11175
41.6%
3 3103
 
11.6%
1 2551
 
9.5%
2 1690
 
6.3%
6 1548
 
5.8%
C 1343
 
5.0%
D 1343
 
5.0%
F 1343
 
5.0%
H 1343
 
5.0%
9 534
 
2.0%
Other values (4) 887
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 21488
80.0%
Uppercase Letter 5372
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 11175
52.0%
3 3103
 
14.4%
1 2551
 
11.9%
2 1690
 
7.9%
6 1548
 
7.2%
9 534
 
2.5%
4 290
 
1.3%
5 251
 
1.2%
8 176
 
0.8%
7 170
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
C 1343
25.0%
D 1343
25.0%
F 1343
25.0%
H 1343
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 21488
80.0%
Latin 5372
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 11175
52.0%
3 3103
 
14.4%
1 2551
 
11.9%
2 1690
 
7.9%
6 1548
 
7.2%
9 534
 
2.5%
4 290
 
1.3%
5 251
 
1.2%
8 176
 
0.8%
7 170
 
0.8%
Latin
ValueCountFrequency (%)
C 1343
25.0%
D 1343
25.0%
F 1343
25.0%
H 1343
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 26860
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 11175
41.6%
3 3103
 
11.6%
1 2551
 
9.5%
2 1690
 
6.3%
6 1548
 
5.8%
C 1343
 
5.0%
D 1343
 
5.0%
F 1343
 
5.0%
H 1343
 
5.0%
9 534
 
2.0%
Other values (4) 887
 
3.3%

인허가일자
Real number (ℝ)

SKEWED 

Distinct1140
Distinct (%)84.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20080711
Minimum10001126
Maximum20210331
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2024-04-17T13:11:21.053544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10001126
5-th percentile19960324
Q120030112
median20081027
Q320170326
95-th percentile20200727
Maximum20210331
Range10209205
Interquartile range (IQR)140213.5

Descriptive statistics

Standard deviation287920.85
Coefficient of variation (CV)0.01433818
Kurtosis1121.2703
Mean20080711
Median Absolute Deviation (MAD)70093
Skewness-32.018412
Sum2.6968395 × 1010
Variance8.2898416 × 1010
MonotonicityNot monotonic
2024-04-17T13:11:21.400065image/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%
19991126 3
 
0.2%
20101029 3
 
0.2%
20030416 3
 
0.2%
20030111 3
 
0.2%
20141124 3
 
0.2%
20191212 3
 
0.2%
20190213 3
 
0.2%
Other values (1130) 1256
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 (%)
20210331 2
0.1%
20210325 1
0.1%
20210323 1
0.1%
20210322 1
0.1%
20210319 1
0.1%
20210316 1
0.1%
20210311 1
0.1%
20210310 1
0.1%
20210309 1
0.1%
20210302 1
0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1343
Missing (%)100.0%
Memory size11.9 KiB

영업상태구분코드
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size10.6 KiB
1
782 
3
455 
4
104 
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 (%)
1 782
58.2%
3 455
33.9%
4 104
 
7.7%
2 2
 
0.1%

Length

2024-04-17T13:11:21.508931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T13:11:21.592963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 782
58.2%
3 455
33.9%
4 104
 
7.7%
2 2
 
0.1%

영업상태명
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size10.6 KiB
영업/정상
782 
폐업
455 
취소/말소/만료/정지/중지
104 
휴업
 
2

Length

Max length14
Median length5
Mean length4.6760983
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 782
58.2%
폐업 455
33.9%
취소/말소/만료/정지/중지 104
 
7.7%
휴업 2
 
0.1%

Length

2024-04-17T13:11:21.676761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T13:11:21.758395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 782
58.2%
폐업 455
33.9%
취소/말소/만료/정지/중지 104
 
7.7%
휴업 2
 
0.1%

상세영업상태코드
Categorical

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size10.6 KiB
13
782 
3
454 
35
104 
2
 
2
34
 
1

Length

Max length2
Median length2
Mean length1.6604617
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
13 782
58.2%
3 454
33.8%
35 104
 
7.7%
2 2
 
0.1%
34 1
 
0.1%

Length

2024-04-17T13:11:21.844746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T13:11:21.945348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 782
58.2%
3 454
33.8%
35 104
 
7.7%
2 2
 
0.1%
34 1
 
0.1%

상세영업상태명
Categorical

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size10.6 KiB
영업중
782 
폐업
454 
직권말소
104 
휴업
 
2
영업장폐쇄
 
1

Length

Max length5
Median length3
Mean length2.7393894
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 782
58.2%
폐업 454
33.8%
직권말소 104
 
7.7%
휴업 2
 
0.1%
영업장폐쇄 1
 
0.1%

Length

2024-04-17T13:11:22.045820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T13:11:22.152669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 782
58.2%
폐업 454
33.8%
직권말소 104
 
7.7%
휴업 2
 
0.1%
영업장폐쇄 1
 
0.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct404
Distinct (%)74.3%
Missing799
Missing (%)59.5%
Infinite0
Infinite (%)0.0%
Mean20115670
Minimum19980211
Maximum20210310
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2024-04-17T13:11:22.255201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19980211
5-th percentile20030418
Q120060726
median20111159
Q320180302
95-th percentile20198775
Maximum20210310
Range230099
Interquartile range (IQR)119576

Descriptive statistics

Standard deviation60306.378
Coefficient of variation (CV)0.0029979801
Kurtosis-1.3194121
Mean20115670
Median Absolute Deviation (MAD)59607.5
Skewness-0.12504048
Sum1.0942925 × 1010
Variance3.6368592 × 109
MonotonicityNot monotonic
2024-04-17T13:11:22.388392image/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%
20140411 6
 
0.4%
20070801 6
 
0.4%
20070111 5
 
0.4%
20131127 5
 
0.4%
20030419 4
 
0.3%
Other values (394) 453
33.7%
(Missing) 799
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 (%)
20210310 1
 
0.1%
20210208 1
 
0.1%
20210119 1
 
0.1%
20201211 3
0.2%
20201109 1
 
0.1%
20201031 1
 
0.1%
20201029 1
 
0.1%
20200921 1
 
0.1%
20200917 1
 
0.1%
20200913 1
 
0.1%

휴업시작일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size10.6 KiB
<NA>
1341 
20030108
 
1
20070801
 
1

Length

Max length8
Median length4
Mean length4.0059568
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> 1341
99.9%
20030108 1
 
0.1%
20070801 1
 
0.1%

Length

2024-04-17T13:11:22.528445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T13:11:22.640709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1341
99.9%
20030108 1
 
0.1%
20070801 1
 
0.1%

휴업종료일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size10.6 KiB
<NA>
1341 
20031231
 
1
20421031
 
1

Length

Max length8
Median length4
Mean length4.0059568
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> 1341
99.9%
20031231 1
 
0.1%
20421031 1
 
0.1%

Length

2024-04-17T13:11:22.732598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T13:11:22.819080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1341
99.9%
20031231 1
 
0.1%
20421031 1
 
0.1%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1343
Missing (%)100.0%
Memory size11.9 KiB

소재지전화
Text

MISSING 

Distinct995
Distinct (%)97.5%
Missing323
Missing (%)24.1%
Memory size10.6 KiB
2024-04-17T13:11:23.029000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12
Mean length10.12549
Min length4

Characters and Unicode

Total characters10328
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

Unique971 ?
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%
051-711-1471 2
 
0.2%
051-507-9770 2
 
0.2%
203 2
 
0.2%
625-1804 2
 
0.2%
582-9997 2
 
0.2%
051-971-5522 2
 
0.2%
627-5056 2
 
0.2%
747-1145 2
 
0.2%
Other values (991) 1007
97.6%
2024-04-17T13:11:23.377138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1514
14.7%
0 1396
13.5%
5 1337
12.9%
1 1290
12.5%
2 834
8.1%
7 754
7.3%
8 710
6.9%
3 709
6.9%
6 668
6.5%
4 613
5.9%
Other values (5) 503
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8785
85.1%
Dash Punctuation 1514
 
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 1396
15.9%
5 1337
15.2%
1 1290
14.7%
2 834
9.5%
7 754
8.6%
8 710
8.1%
3 709
8.1%
6 668
7.6%
4 613
7.0%
9 474
 
5.4%
Dash Punctuation
ValueCountFrequency (%)
- 1514
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 10328
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1514
14.7%
0 1396
13.5%
5 1337
12.9%
1 1290
12.5%
2 834
8.1%
7 754
7.3%
8 710
6.9%
3 709
6.9%
6 668
6.5%
4 613
5.9%
Other values (5) 503
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10328
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1514
14.7%
0 1396
13.5%
5 1337
12.9%
1 1290
12.5%
2 834
8.1%
7 754
7.3%
8 710
6.9%
3 709
6.9%
6 668
6.5%
4 613
5.9%
Other values (5) 503
 
4.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1343
Missing (%)100.0%
Memory size11.9 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct421
Distinct (%)54.3%
Missing568
Missing (%)42.3%
Infinite0
Infinite (%)0.0%
Mean610546.72
Minimum600016
Maximum619963
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2024-04-17T13:11:23.499960image/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
2024-04-17T13:11:23.614369image/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
52.3%
(Missing) 568
42.3%
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 

Distinct1273
Distinct (%)96.7%
Missing27
Missing (%)2.0%
Memory size10.6 KiB
2024-04-17T13:11:23.877474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length47
Mean length24.400456
Min length13

Characters and Unicode

Total characters32111
Distinct characters345
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

Unique1231 ?
Unique (%)93.5%

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 1316
 
21.3%
부산진구 188
 
3.0%
해운대구 167
 
2.7%
동래구 120
 
1.9%
남구 107
 
1.7%
사하구 107
 
1.7%
금정구 97
 
1.6%
연제구 83
 
1.3%
사상구 82
 
1.3%
북구 80
 
1.3%
Other values (1808) 3824
62.0%
2024-04-17T13:11:24.265471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4858
 
15.1%
부 1630
 
5.1%
산 1603
 
5.0%
동 1536
 
4.8%
1 1366
 
4.3%
광 1362
 
4.2%
시 1337
 
4.2%
구 1321
 
4.1%
역 1317
 
4.1%
지 1174
 
3.7%
Other values (335) 14607
45.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 19255
60.0%
Decimal Number 6607
 
20.6%
Space Separator 4858
 
15.1%
Dash Punctuation 1172
 
3.6%
Uppercase Letter 98
 
0.3%
Other Punctuation 62
 
0.2%
Close Punctuation 23
 
0.1%
Open Punctuation 23
 
0.1%
Math Symbol 7
 
< 0.1%
Lowercase Letter 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 1630
 
8.5%
산 1603
 
8.3%
동 1536
 
8.0%
광 1362
 
7.1%
시 1337
 
6.9%
구 1321
 
6.9%
역 1317
 
6.8%
지 1174
 
6.1%
번 1091
 
5.7%
대 305
 
1.6%
Other values (289) 6579
34.2%
Uppercase Letter
ValueCountFrequency (%)
B 20
20.4%
A 10
 
10.2%
S 9
 
9.2%
K 6
 
6.1%
C 6
 
6.1%
L 5
 
5.1%
N 5
 
5.1%
E 4
 
4.1%
T 4
 
4.1%
I 4
 
4.1%
Other values (11) 25
25.5%
Decimal Number
ValueCountFrequency (%)
1 1366
20.7%
2 901
13.6%
3 794
12.0%
4 696
10.5%
5 582
8.8%
0 492
 
7.4%
7 490
 
7.4%
6 468
 
7.1%
8 447
 
6.8%
9 371
 
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 (%)
4858
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1172
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Math Symbol
ValueCountFrequency (%)
~ 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 19254
60.0%
Common 12752
39.7%
Latin 104
 
0.3%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 1630
 
8.5%
산 1603
 
8.3%
동 1536
 
8.0%
광 1362
 
7.1%
시 1337
 
6.9%
구 1321
 
6.9%
역 1317
 
6.8%
지 1174
 
6.1%
번 1091
 
5.7%
대 305
 
1.6%
Other values (288) 6578
34.2%
Latin
ValueCountFrequency (%)
B 20
19.2%
A 10
 
9.6%
S 9
 
8.7%
K 6
 
5.8%
C 6
 
5.8%
L 5
 
4.8%
N 5
 
4.8%
E 4
 
3.8%
T 4
 
3.8%
I 4
 
3.8%
Other values (16) 31
29.8%
Common
ValueCountFrequency (%)
4858
38.1%
1 1366
 
10.7%
- 1172
 
9.2%
2 901
 
7.1%
3 794
 
6.2%
4 696
 
5.5%
5 582
 
4.6%
0 492
 
3.9%
7 490
 
3.8%
6 468
 
3.7%
Other values (10) 933
 
7.3%
Han
ValueCountFrequency (%)
盧 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 19254
60.0%
ASCII 12856
40.0%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4858
37.8%
1 1366
 
10.6%
- 1172
 
9.1%
2 901
 
7.0%
3 794
 
6.2%
4 696
 
5.4%
5 582
 
4.5%
0 492
 
3.8%
7 490
 
3.8%
6 468
 
3.6%
Other values (36) 1037
 
8.1%
Hangul
ValueCountFrequency (%)
부 1630
 
8.5%
산 1603
 
8.3%
동 1536
 
8.0%
광 1362
 
7.1%
시 1337
 
6.9%
구 1321
 
6.9%
역 1317
 
6.8%
지 1174
 
6.1%
번 1091
 
5.7%
대 305
 
1.6%
Other values (288) 6578
34.2%
CJK Compat Ideographs
ValueCountFrequency (%)
盧 1
100.0%

도로명전체주소
Text

MISSING 

Distinct1295
Distinct (%)99.0%
Missing35
Missing (%)2.6%
Memory size10.6 KiB
2024-04-17T13:11:24.554388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length49
Mean length30.743119
Min length17

Characters and Unicode

Total characters40212
Distinct characters399
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

Unique1282 ?
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 1308
 
16.8%
부산진구 187
 
2.4%
해운대구 166
 
2.1%
동래구 119
 
1.5%
3층 115
 
1.5%
사하구 114
 
1.5%
남구 112
 
1.4%
금정구 96
 
1.2%
2층 88
 
1.1%
연제구 82
 
1.1%
Other values (1879) 5382
69.3%
2024-04-17T13:11:24.955023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6829
 
17.0%
동 1668
 
4.1%
부 1637
 
4.1%
산 1629
 
4.1%
시 1402
 
3.5%
광 1401
 
3.5%
구 1337
 
3.3%
역 1309
 
3.3%
로 1299
 
3.2%
( 1286
 
3.2%
Other values (389) 20415
50.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 23518
58.5%
Space Separator 6829
 
17.0%
Decimal Number 5906
 
14.7%
Open Punctuation 1287
 
3.2%
Close Punctuation 1287
 
3.2%
Other Punctuation 1099
 
2.7%
Dash Punctuation 140
 
0.3%
Uppercase Letter 132
 
0.3%
Math Symbol 9
 
< 0.1%
Lowercase Letter 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1668
 
7.1%
부 1637
 
7.0%
산 1629
 
6.9%
시 1402
 
6.0%
광 1401
 
6.0%
구 1337
 
5.7%
역 1309
 
5.6%
로 1299
 
5.5%
대 679
 
2.9%
층 633
 
2.7%
Other values (338) 10524
44.7%
Uppercase Letter
ValueCountFrequency (%)
B 36
27.3%
S 13
 
9.8%
A 12
 
9.1%
K 8
 
6.1%
C 7
 
5.3%
L 6
 
4.5%
N 5
 
3.8%
Y 5
 
3.8%
H 5
 
3.8%
E 5
 
3.8%
Other values (13) 30
22.7%
Decimal Number
ValueCountFrequency (%)
1 1201
20.3%
2 930
15.7%
3 755
12.8%
4 581
9.8%
0 570
9.7%
5 466
 
7.9%
6 426
 
7.2%
8 344
 
5.8%
7 336
 
5.7%
9 297
 
5.0%
Other Punctuation
ValueCountFrequency (%)
, 1077
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%
b 1
20.0%
s 1
20.0%
k 1
20.0%
Open Punctuation
ValueCountFrequency (%)
( 1286
99.9%
[ 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 1286
99.9%
] 1
 
0.1%
Space Separator
ValueCountFrequency (%)
6829
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 140
100.0%
Math Symbol
ValueCountFrequency (%)
~ 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 23517
58.5%
Common 16557
41.2%
Latin 137
 
0.3%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1668
 
7.1%
부 1637
 
7.0%
산 1629
 
6.9%
시 1402
 
6.0%
광 1401
 
6.0%
구 1337
 
5.7%
역 1309
 
5.6%
로 1299
 
5.5%
대 679
 
2.9%
층 633
 
2.7%
Other values (337) 10523
44.7%
Latin
ValueCountFrequency (%)
B 36
26.3%
S 13
 
9.5%
A 12
 
8.8%
K 8
 
5.8%
C 7
 
5.1%
L 6
 
4.4%
N 5
 
3.6%
Y 5
 
3.6%
H 5
 
3.6%
E 5
 
3.6%
Other values (17) 35
25.5%
Common
ValueCountFrequency (%)
6829
41.2%
( 1286
 
7.8%
) 1286
 
7.8%
1 1201
 
7.3%
, 1077
 
6.5%
2 930
 
5.6%
3 755
 
4.6%
4 581
 
3.5%
0 570
 
3.4%
5 466
 
2.8%
Other values (14) 1576
 
9.5%
Han
ValueCountFrequency (%)
盧 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 23517
58.5%
ASCII 16693
41.5%
CJK Compat Ideographs 1
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6829
40.9%
( 1286
 
7.7%
) 1286
 
7.7%
1 1201
 
7.2%
, 1077
 
6.5%
2 930
 
5.6%
3 755
 
4.5%
4 581
 
3.5%
0 570
 
3.4%
5 466
 
2.8%
Other values (40) 1712
 
10.3%
Hangul
ValueCountFrequency (%)
동 1668
 
7.1%
부 1637
 
7.0%
산 1629
 
6.9%
시 1402
 
6.0%
광 1401
 
6.0%
구 1337
 
5.7%
역 1309
 
5.6%
로 1299
 
5.5%
대 679
 
2.9%
층 633
 
2.7%
Other values (337) 10523
44.7%
CJK Compat Ideographs
ValueCountFrequency (%)
盧 1
100.0%
None
ValueCountFrequency (%)
· 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct532
Distinct (%)62.5%
Missing492
Missing (%)36.6%
Infinite0
Infinite (%)0.0%
Mean81409.468
Minimum46004
Maximum619905
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2024-04-17T13:11:25.073882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46004
5-th percentile46230
Q147144.5
median47743
Q348510
95-th percentile603826.5
Maximum619905
Range573901
Interquartile range (IQR)1365.5

Descriptive statistics

Standard deviation133628.34
Coefficient of variation (CV)1.6414349
Kurtosis11.831433
Mean81409.468
Median Absolute Deviation (MAD)711
Skewness3.7149798
Sum69279457
Variance1.7856534 × 1010
MonotonicityNot monotonic
2024-04-17T13:11:25.174206image/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%
47247 6
 
0.4%
48515 6
 
0.4%
48106 6
 
0.4%
46230 6
 
0.4%
Other values (522) 768
57.2%
(Missing) 492
36.6%
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

Distinct1238
Distinct (%)92.2%
Missing0
Missing (%)0.0%
Memory size10.6 KiB
2024-04-17T13:11:25.405468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length21
Mean length7.1935964
Min length2

Characters and Unicode

Total characters9661
Distinct characters530
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

Unique1158 ?
Unique (%)86.2%

Sample

1st row웰키랩
2nd row(주)상상피트니스 벡스코
3rd row동네몸짱형
4th row유네스코짐
5th rowDS휘트니스
ValueCountFrequency (%)
휘트니스 84
 
4.3%
피트니스 49
 
2.5%
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%
운동센터 8
 
0.4%
Other values (1376) 1664
86.0%
2024-04-17T13:11:25.754817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 1080
 
11.2%
593
 
6.1%
헬 469
 
4.9%
트 390
 
4.0%
니 307
 
3.2%
휘 204
 
2.1%
럽 183
 
1.9%
클 180
 
1.9%
피 141
 
1.5%
짐 140
 
1.4%
Other values (520) 5974
61.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7828
81.0%
Uppercase Letter 711
 
7.4%
Space Separator 593
 
6.1%
Lowercase Letter 237
 
2.5%
Open Punctuation 82
 
0.8%
Close 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 1080
 
13.8%
헬 469
 
6.0%
트 390
 
5.0%
니 307
 
3.9%
휘 204
 
2.6%
럽 183
 
2.3%
클 180
 
2.3%
피 141
 
1.8%
짐 140
 
1.8%
이 124
 
1.6%
Other values (448) 4610
58.9%
Uppercase Letter
ValueCountFrequency (%)
M 71
 
10.0%
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) 216
30.4%
Lowercase Letter
ValueCountFrequency (%)
e 26
11.0%
i 25
10.5%
o 22
9.3%
s 22
9.3%
n 20
 
8.4%
t 20
 
8.4%
r 14
 
5.9%
a 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%
3 7
 
10.3%
4 7
 
10.3%
0 6
 
8.8%
5 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 (%)
593
100.0%
Open Punctuation
ValueCountFrequency (%)
( 82
100.0%
Close 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 7827
81.0%
Latin 948
 
9.8%
Common 885
 
9.2%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 1080
 
13.8%
헬 469
 
6.0%
트 390
 
5.0%
니 307
 
3.9%
휘 204
 
2.6%
럽 183
 
2.3%
클 180
 
2.3%
피 141
 
1.8%
짐 140
 
1.8%
이 124
 
1.6%
Other values (447) 4609
58.9%
Latin
ValueCountFrequency (%)
M 71
 
7.5%
T 71
 
7.5%
G 61
 
6.4%
Y 56
 
5.9%
S 49
 
5.2%
P 47
 
5.0%
A 45
 
4.7%
O 35
 
3.7%
I 32
 
3.4%
F 28
 
3.0%
Other values (37) 453
47.8%
Common
ValueCountFrequency (%)
593
67.0%
( 82
 
9.3%
) 82
 
9.3%
& 22
 
2.5%
2 20
 
2.3%
. 18
 
2.0%
1 12
 
1.4%
, 7
 
0.8%
3 7
 
0.8%
4 7
 
0.8%
Other values (15) 35
 
4.0%
Han
ValueCountFrequency (%)
日 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7827
81.0%
ASCII 1828
 
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 1080
 
13.8%
헬 469
 
6.0%
트 390
 
5.0%
니 307
 
3.9%
휘 204
 
2.6%
럽 183
 
2.3%
클 180
 
2.3%
피 141
 
1.8%
짐 140
 
1.8%
이 124
 
1.6%
Other values (447) 4609
58.9%
ASCII
ValueCountFrequency (%)
593
32.4%
( 82
 
4.5%
) 82
 
4.5%
M 71
 
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) 671
36.7%
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)

Distinct1341
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0156408 × 1013
Minimum2.0021018 × 1013
Maximum2.0210331 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2024-04-17T13:11:25.869008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0021018 × 1013
5-th percentile2.0041219 × 1013
Q12.0120409 × 1013
median2.0180503 × 1013
Q32.0200316 × 1013
95-th percentile2.0201211 × 1013
Maximum2.0210331 × 1013
Range1.8931308 × 1011
Interquartile range (IQR)7.9907487 × 1010

Descriptive statistics

Standard deviation5.206163 × 1010
Coefficient of variation (CV)0.0025828823
Kurtosis-0.21544053
Mean2.0156408 × 1013
Median Absolute Deviation (MAD)2.0390932 × 1010
Skewness-1.0273269
Sum2.7070057 × 1016
Variance2.7104134 × 1021
MonotonicityNot monotonic
2024-04-17T13:11:25.980611image/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 (1331) 1331
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 (%)
20210331215826 1
0.1%
20210331090810 1
0.1%
20210331085038 1
0.1%
20210326150307 1
0.1%
20210325094258 1
0.1%
20210323163342 1
0.1%
20210323090735 1
0.1%
20210322115246 1
0.1%
20210319092855 1
0.1%
20210318172539 1
0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.6 KiB
I
875 
U
468 

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
65.2%
U 468
34.8%

Length

2024-04-17T13:11:26.095648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T13:11:26.177929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 875
65.2%
u 468
34.8%

데이터갱신일자
Date

Distinct397
Distinct (%)29.6%
Missing0
Missing (%)0.0%
Memory size10.6 KiB
Minimum2018-08-31 23:59:59
Maximum2021-04-02 02:40:00
2024-04-17T13:11:26.265680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T13:11:26.380267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1343
Missing (%)100.0%
Memory size11.9 KiB

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct1158
Distinct (%)87.5%
Missing19
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean387996.42
Minimum366820.79
Maximum404771.78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2024-04-17T13:11:26.505087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum366820.79
5-th percentile379192.6
Q1384244.48
median388439.35
Q3391636.39
95-th percentile397880.03
Maximum404771.78
Range37950.995
Interquartile range (IQR)7391.9154

Descriptive statistics

Standard deviation5704.6609
Coefficient of variation (CV)0.01470287
Kurtosis0.30999749
Mean387996.42
Median Absolute Deviation (MAD)3662.512
Skewness-0.24744875
Sum5.1370726 × 108
Variance32543157
MonotonicityNot monotonic
2024-04-17T13:11:26.617665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
395388.715069604 7
 
0.5%
392515.689667818 5
 
0.4%
394340.426549986 5
 
0.4%
395272.187921241 4
 
0.3%
393605.930358633 4
 
0.3%
379052.480675244 3
 
0.2%
391283.629558671 3
 
0.2%
385127.995080685 3
 
0.2%
387686.194940483 3
 
0.2%
389816.233000769 3
 
0.2%
Other values (1148) 1284
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 

Distinct1158
Distinct (%)87.5%
Missing19
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean186907.05
Minimum173961.91
Maximum207205.17
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2024-04-17T13:11:26.728135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum173961.91
5-th percentile177936.06
Q1183481.94
median186821.44
Q3190572.59
95-th percentile196220.47
Maximum207205.17
Range33243.255
Interquartile range (IQR)7090.6449

Descriptive statistics

Standard deviation5660.0907
Coefficient of variation (CV)0.030282918
Kurtosis0.4104821
Mean186907.05
Median Absolute Deviation (MAD)3685.0318
Skewness0.32925741
Sum2.4746493 × 108
Variance32036627
MonotonicityNot monotonic
2024-04-17T13:11:26.832690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
186268.853282623 7
 
0.5%
183481.94111857 5
 
0.4%
187360.769460221 5
 
0.4%
186102.052953595 4
 
0.3%
188324.973749177 4
 
0.3%
181034.181864204 3
 
0.2%
183979.58696558 3
 
0.2%
180033.573037961 3
 
0.2%
189911.430545728 3
 
0.2%
193329.605871168 3
 
0.2%
Other values (1148) 1284
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 size10.6 KiB
체력단련장업
1343 

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 1343
100.0%

Length

2024-04-17T13:11:27.176059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T13:11:27.245728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
체력단련장업 1343
100.0%

공사립구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.6 KiB
사립
1343 

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 1343
100.0%

Length

2024-04-17T13:11:27.318429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T13:11:27.388480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 1343
100.0%

보험가입여부코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size10.6 KiB
<NA>
1036 
0
278 
Y
 
21
1
 
8

Length

Max length4
Median length4
Mean length3.3142219
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> 1036
77.1%
0 278
 
20.7%
Y 21
 
1.6%
1 8
 
0.6%

Length

2024-04-17T13:11:27.467822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T13:11:27.553866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1036
77.1%
0 278
 
20.7%
y 21
 
1.6%
1 8
 
0.6%

지도자수
Categorical

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size10.6 KiB
<NA>
782 
1
403 
2
154 
0
 
3
3
 
1

Length

Max length4
Median length4
Mean length2.7468354
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> 782
58.2%
1 403
30.0%
2 154
 
11.5%
0 3
 
0.2%
3 1
 
0.1%

Length

2024-04-17T13:11:27.642726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T13:11:27.727118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 782
58.2%
1 403
30.0%
2 154
 
11.5%
0 3
 
0.2%
3 1
 
0.1%

건축물동수
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)4.1%
Missing1150
Missing (%)85.6%
Infinite0
Infinite (%)0.0%
Mean2.6787565
Minimum0
Maximum302
Zeros16
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2024-04-17T13:11:27.802890image/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 deviation21.684298
Coefficient of variation (CV)8.0949119
Kurtosis192.04485
Mean2.6787565
Median Absolute Deviation (MAD)0
Skewness13.841959
Sum517
Variance470.20877
MonotonicityNot monotonic
2024-04-17T13:11:27.880931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 160
 
11.9%
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) 1150
85.6%
ValueCountFrequency (%)
0 16
 
1.2%
1 160
11.9%
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%
1 160
11.9%
0 16
 
1.2%

건축물연면적
Real number (ℝ)

MISSING  ZEROS 

Distinct665
Distinct (%)92.4%
Missing623
Missing (%)46.4%
Infinite0
Infinite (%)0.0%
Mean34776.813
Minimum0
Maximum10735378
Zeros18
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2024-04-17T13:11:27.987841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile95.351
Q1228.92
median591.345
Q32466.935
95-th percentile21097.74
Maximum10735378
Range10735378
Interquartile range (IQR)2238.015

Descriptive statistics

Standard deviation519431.44
Coefficient of variation (CV)14.936142
Kurtosis362.77948
Mean34776.813
Median Absolute Deviation (MAD)463.195
Skewness18.888481
Sum25039306
Variance2.6980902 × 1011
MonotonicityNot monotonic
2024-04-17T13:11:28.099742image/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%
10735.37 3
 
0.2%
165.0 3
 
0.2%
155.0 2
 
0.1%
3307.95 2
 
0.1%
341.16 2
 
0.1%
3975.48 2
 
0.1%
Other values (655) 671
50.0%
(Missing) 623
46.4%
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%
Missing1334
Missing (%)99.3%
Infinite0
Infinite (%)0.0%
Mean84.555556
Minimum1
Maximum250
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2024-04-17T13:11:28.196711image/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
2024-04-17T13:11:28.276107image/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) 1334
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 

Missing1343
Missing (%)100.0%
Memory size11.9 KiB

법인명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1343
Missing (%)100.0%
Memory size11.9 KiB

Unnamed: 37
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1343
Missing (%)100.0%
Memory size11.9 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)48117진심피트니스20210105143404I2021-01-07 00:23:04.0<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 반여20210310093400I2021-03-12 00:23:00.0<NA>392834.111356191144.530436체력단련장업사립<NA><NA><NA>2404.06<NA><NA><NA><NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명Unnamed: 37
13331334체력단련장업10_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>
13341335체력단련장업10_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>
13351336체력단련장업10_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>
13361337체력단련장업10_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>
13371338체력단련장업10_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>
13381339체력단련장업10_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>
13391340체력단련장업10_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>
13401341체력단련장업10_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>
13411342체력단련장업10_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>
13421343체력단련장업10_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>