Overview

Dataset statistics

Number of variables38
Number of observations1322
Missing cells14544
Missing cells (%)29.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory423.6 KiB
Average record size in memory328.1 B

Variable types

Numeric12
Categorical13
Text5
Unsupported7
DateTime1

Dataset

Description2021-03-01
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 (54.7%)Imbalance
인허가취소일자 has 1322 (100.0%) missing valuesMissing
폐업일자 has 780 (59.0%) missing valuesMissing
재개업일자 has 1322 (100.0%) missing valuesMissing
소재지전화 has 308 (23.3%) missing valuesMissing
소재지면적 has 1322 (100.0%) missing valuesMissing
소재지우편번호 has 547 (41.4%) missing valuesMissing
소재지전체주소 has 27 (2.0%) missing valuesMissing
도로명전체주소 has 35 (2.6%) missing valuesMissing
도로명우편번호 has 492 (37.2%) missing valuesMissing
업태구분명 has 1322 (100.0%) missing valuesMissing
좌표정보(x) has 18 (1.4%) missing valuesMissing
좌표정보(y) has 18 (1.4%) missing valuesMissing
건축물동수 has 1133 (85.7%) missing valuesMissing
건축물연면적 has 619 (46.8%) missing valuesMissing
회원모집총인원 has 1313 (99.3%) missing valuesMissing
세부업종명 has 1322 (100.0%) missing valuesMissing
법인명 has 1322 (100.0%) missing valuesMissing
Unnamed: 37 has 1322 (100.0%) missing valuesMissing
인허가일자 is highly skewed (γ1 = -31.89616844)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 (1.4%) zerosZeros

Reproduction

Analysis started2024-04-17 04:11:40.786598
Analysis finished2024-04-17 04:11:41.658783
Duration0.87 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct1322
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean661.5
Minimum1
Maximum1322
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.7 KiB
2024-04-17T13:11:41.716542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile67.05
Q1331.25
median661.5
Q3991.75
95-th percentile1255.95
Maximum1322
Range1321
Interquartile range (IQR)660.5

Descriptive statistics

Standard deviation381.77284
Coefficient of variation (CV)0.57713203
Kurtosis-1.2
Mean661.5
Median Absolute Deviation (MAD)330.5
Skewness0
Sum874503
Variance145750.5
MonotonicityStrictly increasing
2024-04-17T13:11:41.827704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
889 1
 
0.1%
887 1
 
0.1%
886 1
 
0.1%
885 1
 
0.1%
884 1
 
0.1%
883 1
 
0.1%
882 1
 
0.1%
881 1
 
0.1%
880 1
 
0.1%
Other values (1312) 1312
99.2%
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 (%)
1322 1
0.1%
1321 1
0.1%
1320 1
0.1%
1319 1
0.1%
1318 1
0.1%
1317 1
0.1%
1316 1
0.1%
1315 1
0.1%
1314 1
0.1%
1313 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.5 KiB
체력단련장업
1322 

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 1322
100.0%

Length

2024-04-17T13:11:41.932673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T13:11:42.001545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
체력단련장업 1322
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.5 KiB
10_42_01_P
1322 

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 1322
100.0%

Length

2024-04-17T13:11:42.076985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T13:11:42.148968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10_42_01_p 1322
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3325869.9
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.7 KiB
2024-04-17T13:11:42.217919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3250000
5-th percentile3260000
Q13292500
median3330000
Q33350000
95-th percentile3390000
Maximum3400000
Range150000
Interquartile range (IQR)57500

Descriptive statistics

Standard deviation38541.243
Coefficient of variation (CV)0.01158832
Kurtosis-0.76451942
Mean3325869.9
Median Absolute Deviation (MAD)30000
Skewness0.080145426
Sum4.3968 × 109
Variance1.4854274 × 109
MonotonicityNot monotonic
2024-04-17T13:11:42.309242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3290000 184
13.9%
3330000 165
12.5%
3340000 117
8.9%
3300000 116
8.8%
3310000 113
8.5%
3350000 94
7.1%
3370000 83
 
6.3%
3390000 82
 
6.2%
3320000 80
 
6.1%
3380000 71
 
5.4%
Other values (6) 217
16.4%
ValueCountFrequency (%)
3250000 46
 
3.5%
3260000 39
 
3.0%
3270000 35
 
2.6%
3280000 27
 
2.0%
3290000 184
13.9%
3300000 116
8.8%
3310000 113
8.5%
3320000 80
6.1%
3330000 165
12.5%
3340000 117
8.9%
ValueCountFrequency (%)
3400000 34
 
2.6%
3390000 82
6.2%
3380000 71
5.4%
3370000 83
6.3%
3360000 36
 
2.7%
3350000 94
7.1%
3340000 117
8.9%
3330000 165
12.5%
3320000 80
6.1%
3310000 113
8.5%

관리번호
Text

Distinct319
Distinct (%)24.1%
Missing0
Missing (%)0.0%
Memory size10.5 KiB
2024-04-17T13:11:42.468923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters26440
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 (%)7.9%

Sample

1st rowCDFH3301061982000001
2nd rowCDFH3301061998000001
3rd rowCDFH3301061998000002
4th rowCDFH3301061999000001
5th rowCDFH3301061999000002
ValueCountFrequency (%)
cdfh3301062015000001 16
 
1.2%
cdfh3301062020000001 16
 
1.2%
cdfh3301062004000002 15
 
1.1%
cdfh3301062005000001 14
 
1.1%
cdfh3301062019000001 14
 
1.1%
cdfh3301062020000002 14
 
1.1%
cdfh3301062014000001 14
 
1.1%
cdfh3301062018000001 14
 
1.1%
cdfh3301062013000001 14
 
1.1%
cdfh3301062003000001 14
 
1.1%
Other values (309) 1177
89.0%
2024-04-17T13:11:42.743721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 11006
41.6%
3 3057
 
11.6%
1 2506
 
9.5%
2 1648
 
6.2%
6 1524
 
5.8%
C 1322
 
5.0%
D 1322
 
5.0%
F 1322
 
5.0%
H 1322
 
5.0%
9 534
 
2.0%
Other values (4) 877
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 21152
80.0%
Uppercase Letter 5288
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 11006
52.0%
3 3057
 
14.5%
1 2506
 
11.8%
2 1648
 
7.8%
6 1524
 
7.2%
9 534
 
2.5%
4 284
 
1.3%
5 248
 
1.2%
8 176
 
0.8%
7 169
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
C 1322
25.0%
D 1322
25.0%
F 1322
25.0%
H 1322
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 21152
80.0%
Latin 5288
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 11006
52.0%
3 3057
 
14.5%
1 2506
 
11.8%
2 1648
 
7.8%
6 1524
 
7.2%
9 534
 
2.5%
4 284
 
1.3%
5 248
 
1.2%
8 176
 
0.8%
7 169
 
0.8%
Latin
ValueCountFrequency (%)
C 1322
25.0%
D 1322
25.0%
F 1322
25.0%
H 1322
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 26440
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 11006
41.6%
3 3057
 
11.6%
1 2506
 
9.5%
2 1648
 
6.2%
6 1524
 
5.8%
C 1322
 
5.0%
D 1322
 
5.0%
F 1322
 
5.0%
H 1322
 
5.0%
9 534
 
2.0%
Other values (4) 877
 
3.3%

인허가일자
Real number (ℝ)

SKEWED 

Distinct1124
Distinct (%)85.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20078782
Minimum10001126
Maximum20210128
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.7 KiB
2024-04-17T13:11:42.865807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10001126
5-th percentile19960220
Q120030108
median20080514
Q320161188
95-th percentile20200602
Maximum20210128
Range10209002
Interquartile range (IQR)131080

Descriptive statistics

Standard deviation289753.63
Coefficient of variation (CV)0.014430837
Kurtosis1109.7441
Mean20078782
Median Absolute Deviation (MAD)70051.5
Skewness-31.896168
Sum2.6544149 × 1010
Variance8.3957168 × 1010
MonotonicityNot monotonic
2024-04-17T13:11:42.982014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20030203 43
 
3.3%
20030204 16
 
1.2%
20030121 7
 
0.5%
20210112 3
 
0.2%
19991126 3
 
0.2%
20190213 3
 
0.2%
20030416 3
 
0.2%
20020509 3
 
0.2%
20030111 3
 
0.2%
20200326 3
 
0.2%
Other values (1114) 1235
93.4%
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 (%)
20210128 1
 
0.1%
20210122 1
 
0.1%
20210121 1
 
0.1%
20210114 1
 
0.1%
20210112 3
0.2%
20210109 1
 
0.1%
20210105 1
 
0.1%
20201231 1
 
0.1%
20201228 1
 
0.1%
20201216 1
 
0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1322
Missing (%)100.0%
Memory size11.7 KiB

영업상태구분코드
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size10.5 KiB
1
763 
3
453 
4
104 
2
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 763
57.7%
3 453
34.3%
4 104
 
7.9%
2 2
 
0.2%

Length

2024-04-17T13:11:43.087779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T13:11:43.166354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 763
57.7%
3 453
34.3%
4 104
 
7.9%
2 2
 
0.2%

영업상태명
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size10.5 KiB
영업/정상
763 
폐업
453 
취소/말소/만료/정지/중지
104 
휴업
 
2

Length

Max length14
Median length5
Mean length4.6754917
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 763
57.7%
폐업 453
34.3%
취소/말소/만료/정지/중지 104
 
7.9%
휴업 2
 
0.2%

Length

2024-04-17T13:11:43.257232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T13:11:43.352610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 763
57.7%
폐업 453
34.3%
취소/말소/만료/정지/중지 104
 
7.9%
휴업 2
 
0.2%

상세영업상태코드
Categorical

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size10.5 KiB
13
763 
3
452 
35
104 
2
 
2
34
 
1

Length

Max length2
Median length2
Mean length1.6565809
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
13 763
57.7%
3 452
34.2%
35 104
 
7.9%
2 2
 
0.2%
34 1
 
0.1%

Length

2024-04-17T13:11:43.465866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T13:11:43.548477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 763
57.7%
3 452
34.2%
35 104
 
7.9%
2 2
 
0.2%
34 1
 
0.1%

상세영업상태명
Categorical

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size10.5 KiB
영업중
763 
폐업
452 
직권말소
104 
휴업
 
2
영업장폐쇄
 
1

Length

Max length5
Median length3
Mean length2.7367625
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 763
57.7%
폐업 452
34.2%
직권말소 104
 
7.9%
휴업 2
 
0.2%
영업장폐쇄 1
 
0.1%

Length

2024-04-17T13:11:43.634610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T13:11:43.719288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 763
57.7%
폐업 452
34.2%
직권말소 104
 
7.9%
휴업 2
 
0.2%
영업장폐쇄 1
 
0.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct402
Distinct (%)74.2%
Missing780
Missing (%)59.0%
Infinite0
Infinite (%)0.0%
Mean20115321
Minimum19980211
Maximum20210119
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.7 KiB
2024-04-17T13:11:43.814712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19980211
5-th percentile20030418
Q120060722
median20111010
Q320180302
95-th percentile20191231
Maximum20210119
Range229908
Interquartile range (IQR)119580

Descriptive statistics

Standard deviation60142.382
Coefficient of variation (CV)0.0029898793
Kurtosis-1.3204361
Mean20115321
Median Absolute Deviation (MAD)59713
Skewness-0.12349375
Sum1.0902504 × 1010
Variance3.6171061 × 109
MonotonicityNot monotonic
2024-04-17T13:11:43.926569image/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
 
0.8%
20190409 9
 
0.7%
20190416 8
 
0.6%
20070801 6
 
0.5%
20140411 6
 
0.5%
20070111 5
 
0.4%
20131127 5
 
0.4%
20110726 4
 
0.3%
Other values (392) 451
34.1%
(Missing) 780
59.0%
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 (%)
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%
20200825 1
 
0.1%
20200810 1
 
0.1%

휴업시작일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size10.5 KiB
<NA>
1320 
20070801
 
1
20030108
 
1

Length

Max length8
Median length4
Mean length4.0060514
Min length4

Unique

Unique2 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1320
99.8%
20070801 1
 
0.1%
20030108 1
 
0.1%

Length

2024-04-17T13:11:44.035861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T13:11:44.123342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1320
99.8%
20070801 1
 
0.1%
20030108 1
 
0.1%

휴업종료일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size10.5 KiB
<NA>
1320 
20421031
 
1
20031231
 
1

Length

Max length8
Median length4
Mean length4.0060514
Min length4

Unique

Unique2 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1320
99.8%
20421031 1
 
0.1%
20031231 1
 
0.1%

Length

2024-04-17T13:11:44.215180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T13:11:44.302568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1320
99.8%
20421031 1
 
0.1%
20031231 1
 
0.1%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1322
Missing (%)100.0%
Memory size11.7 KiB

소재지전화
Text

MISSING 

Distinct989
Distinct (%)97.5%
Missing308
Missing (%)23.3%
Memory size10.5 KiB
2024-04-17T13:11:44.502234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12
Mean length10.114398
Min length4

Characters and Unicode

Total characters10256
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

Unique965 ?
Unique (%)95.2%

Sample

1st row051-244-7177
2nd row051-254-3707
3rd row051-244-3396
4th row051-246-7488
5th row051-255-0559
ValueCountFrequency (%)
051 6
 
0.6%
051-905-0444 3
 
0.3%
051-817-2201 2
 
0.2%
625-1804 2
 
0.2%
051-753-0097 2
 
0.2%
611-7000 2
 
0.2%
627-5056 2
 
0.2%
817-5056 2
 
0.2%
051-507-9770 2
 
0.2%
051-701-5060 2
 
0.2%
Other values (985) 1001
97.6%
2024-04-17T13:11:44.837564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1501
14.6%
0 1383
13.5%
5 1327
12.9%
1 1275
12.4%
2 836
8.2%
7 748
7.3%
8 708
6.9%
3 702
6.8%
6 664
6.5%
4 611
6.0%
Other values (5) 501
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8725
85.1%
Dash Punctuation 1501
 
14.6%
Close Punctuation 12
 
0.1%
Space Separator 12
 
0.1%
Other Punctuation 3
 
< 0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1383
15.9%
5 1327
15.2%
1 1275
14.6%
2 836
9.6%
7 748
8.6%
8 708
8.1%
3 702
8.0%
6 664
7.6%
4 611
7.0%
9 471
 
5.4%
Dash Punctuation
ValueCountFrequency (%)
- 1501
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Space Separator
ValueCountFrequency (%)
12
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10256
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1501
14.6%
0 1383
13.5%
5 1327
12.9%
1 1275
12.4%
2 836
8.2%
7 748
7.3%
8 708
6.9%
3 702
6.8%
6 664
6.5%
4 611
6.0%
Other values (5) 501
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10256
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1501
14.6%
0 1383
13.5%
5 1327
12.9%
1 1275
12.4%
2 836
8.2%
7 748
7.3%
8 708
6.9%
3 702
6.8%
6 664
6.5%
4 611
6.0%
Other values (5) 501
 
4.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1322
Missing (%)100.0%
Memory size11.7 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct420
Distinct (%)54.2%
Missing547
Missing (%)41.4%
Infinite0
Infinite (%)0.0%
Mean610528.77
Minimum600016
Maximum619963
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.7 KiB
2024-04-17T13:11:44.955821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum600016
5-th percentile601808
Q1607802
median611805
Q3614097
95-th percentile617835
Maximum619963
Range19947
Interquartile range (IQR)6295

Descriptive statistics

Standard deviation5095.0176
Coefficient of variation (CV)0.008345254
Kurtosis-0.81738206
Mean610528.77
Median Absolute Deviation (MAD)3968
Skewness-0.20700547
Sum4.731598 × 108
Variance25959205
MonotonicityNot monotonic
2024-04-17T13:11:45.076108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
604851 11
 
0.8%
612842 9
 
0.7%
616852 8
 
0.6%
609839 8
 
0.6%
608805 8
 
0.6%
607829 6
 
0.5%
619963 6
 
0.5%
619905 6
 
0.5%
608808 6
 
0.5%
601827 5
 
0.4%
Other values (410) 702
53.1%
(Missing) 547
41.4%
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
 
0.2%
600091 1
 
0.1%
ValueCountFrequency (%)
619963 6
0.5%
619962 1
 
0.1%
619905 6
0.5%
619903 3
0.2%
619901 3
0.2%
618814 5
0.4%
618270 1
 
0.1%
618200 2
 
0.2%
617846 1
 
0.1%
617842 1
 
0.1%

소재지전체주소
Text

MISSING 

Distinct1252
Distinct (%)96.7%
Missing27
Missing (%)2.0%
Memory size10.5 KiB
2024-04-17T13:11:45.329961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length47
Mean length24.43861
Min length13

Characters and Unicode

Total characters31648
Distinct characters346
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

Unique1210 ?
Unique (%)93.4%

Sample

1st row부산광역시 중구 부평동4가 57번지
2nd row부산광역시 중구 보수동2가 48-1번지
3rd row부산광역시 중구 부평동4가 28번지
4th row부산광역시 중구 보수동1가 144-4번지
5th row부산광역시 중구 신창동1가 1-3번지
ValueCountFrequency (%)
부산광역시 1295
 
21.3%
부산진구 184
 
3.0%
해운대구 163
 
2.7%
동래구 116
 
1.9%
사하구 107
 
1.8%
남구 106
 
1.7%
금정구 94
 
1.5%
연제구 82
 
1.4%
사상구 82
 
1.4%
북구 79
 
1.3%
Other values (1773) 3762
62.0%
2024-04-17T13:11:45.699450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4778
 
15.1%
부 1603
 
5.1%
산 1577
 
5.0%
동 1511
 
4.8%
1 1342
 
4.2%
광 1339
 
4.2%
시 1316
 
4.2%
구 1301
 
4.1%
역 1296
 
4.1%
지 1184
 
3.7%
Other values (336) 14401
45.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18991
60.0%
Decimal Number 6505
 
20.6%
Space Separator 4778
 
15.1%
Dash Punctuation 1155
 
3.6%
Uppercase Letter 98
 
0.3%
Other Punctuation 64
 
0.2%
Open Punctuation 23
 
0.1%
Close Punctuation 23
 
0.1%
Lowercase Letter 6
 
< 0.1%
Math Symbol 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 1603
 
8.4%
산 1577
 
8.3%
동 1511
 
8.0%
광 1339
 
7.1%
시 1316
 
6.9%
구 1301
 
6.9%
역 1296
 
6.8%
지 1184
 
6.2%
번 1103
 
5.8%
층 301
 
1.6%
Other values (288) 6460
34.0%
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%
T 4
 
4.1%
I 4
 
4.1%
E 4
 
4.1%
Other values (11) 25
25.5%
Decimal Number
ValueCountFrequency (%)
1 1342
20.6%
2 891
13.7%
3 785
12.1%
4 685
10.5%
5 572
8.8%
0 482
 
7.4%
7 480
 
7.4%
6 462
 
7.1%
8 441
 
6.8%
9 365
 
5.6%
Other Punctuation
ValueCountFrequency (%)
, 42
65.6%
. 15
 
23.4%
/ 2
 
3.1%
& 2
 
3.1%
? 1
 
1.6%
@ 1
 
1.6%
？ 1
 
1.6%
Lowercase Letter
ValueCountFrequency (%)
e 2
33.3%
b 1
16.7%
k 1
16.7%
s 1
16.7%
g 1
16.7%
Space Separator
ValueCountFrequency (%)
4778
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1155
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18990
60.0%
Common 12553
39.7%
Latin 104
 
0.3%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 1603
 
8.4%
산 1577
 
8.3%
동 1511
 
8.0%
광 1339
 
7.1%
시 1316
 
6.9%
구 1301
 
6.9%
역 1296
 
6.8%
지 1184
 
6.2%
번 1103
 
5.8%
층 301
 
1.6%
Other values (287) 6459
34.0%
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%
T 4
 
3.8%
I 4
 
3.8%
E 4
 
3.8%
Other values (16) 31
29.8%
Common
ValueCountFrequency (%)
4778
38.1%
1 1342
 
10.7%
- 1155
 
9.2%
2 891
 
7.1%
3 785
 
6.3%
4 685
 
5.5%
5 572
 
4.6%
0 482
 
3.8%
7 480
 
3.8%
6 462
 
3.7%
Other values (12) 921
 
7.3%
Han
ValueCountFrequency (%)
盧 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18990
60.0%
ASCII 12656
40.0%
None 1
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4778
37.8%
1 1342
 
10.6%
- 1155
 
9.1%
2 891
 
7.0%
3 785
 
6.2%
4 685
 
5.4%
5 572
 
4.5%
0 482
 
3.8%
7 480
 
3.8%
6 462
 
3.7%
Other values (37) 1024
 
8.1%
Hangul
ValueCountFrequency (%)
부 1603
 
8.4%
산 1577
 
8.3%
동 1511
 
8.0%
광 1339
 
7.1%
시 1316
 
6.9%
구 1301
 
6.9%
역 1296
 
6.8%
지 1184
 
6.2%
번 1103
 
5.8%
층 301
 
1.6%
Other values (287) 6459
34.0%
None
ValueCountFrequency (%)
？ 1
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
盧 1
100.0%

도로명전체주소
Text

MISSING 

Distinct1274
Distinct (%)99.0%
Missing35
Missing (%)2.6%
Memory size10.5 KiB
2024-04-17T13:11:45.983995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length49
Mean length30.724165
Min length17

Characters and Unicode

Total characters39542
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

Unique1261 ?
Unique (%)98.0%

Sample

1st row부산광역시 중구 흑교로 81 (보수동2가)
2nd row부산광역시 중구 대청로 71 (보수동1가)
3rd row부산광역시 중구 광복중앙로 33 (신창동1가)
4th row부산광역시 중구 비프광장로 20 (남포동6가)
5th row부산광역시 중구 광복중앙로 13 (신창동1가)
ValueCountFrequency (%)
부산광역시 1287
 
16.9%
부산진구 183
 
2.4%
해운대구 162
 
2.1%
동래구 115
 
1.5%
사하구 114
 
1.5%
3층 112
 
1.5%
남구 111
 
1.5%
금정구 93
 
1.2%
2층 84
 
1.1%
연제구 81
 
1.1%
Other values (1852) 5292
69.3%
2024-04-17T13:11:46.381137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6715
 
17.0%
동 1640
 
4.1%
부 1609
 
4.1%
산 1603
 
4.1%
시 1380
 
3.5%
광 1378
 
3.5%
구 1317
 
3.3%
역 1288
 
3.3%
로 1279
 
3.2%
) 1267
 
3.2%
Other values (390) 20066
50.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 23127
58.5%
Space Separator 6715
 
17.0%
Decimal Number 5803
 
14.7%
Close Punctuation 1268
 
3.2%
Open Punctuation 1268
 
3.2%
Other Punctuation 1080
 
2.7%
Dash Punctuation 137
 
0.3%
Uppercase Letter 132
 
0.3%
Math Symbol 7
 
< 0.1%
Lowercase Letter 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1640
 
7.1%
부 1609
 
7.0%
산 1603
 
6.9%
시 1380
 
6.0%
광 1378
 
6.0%
구 1317
 
5.7%
역 1288
 
5.6%
로 1279
 
5.5%
대 668
 
2.9%
층 615
 
2.7%
Other values (337) 10350
44.8%
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%
Y 5
 
3.8%
H 5
 
3.8%
N 5
 
3.8%
E 5
 
3.8%
Other values (13) 30
22.7%
Decimal Number
ValueCountFrequency (%)
1 1178
20.3%
2 918
15.8%
3 746
12.9%
4 570
9.8%
0 565
9.7%
5 456
 
7.9%
6 416
 
7.2%
8 341
 
5.9%
7 326
 
5.6%
9 287
 
4.9%
Other Punctuation
ValueCountFrequency (%)
, 1056
97.8%
. 14
 
1.3%
/ 3
 
0.3%
& 2
 
0.2%
@ 1
 
0.1%
？ 1
 
0.1%
? 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%
Close Punctuation
ValueCountFrequency (%)
) 1267
99.9%
] 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 1267
99.9%
[ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
6715
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 137
100.0%
Math Symbol
ValueCountFrequency (%)
~ 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 23126
58.5%
Common 16278
41.2%
Latin 137
 
0.3%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1640
 
7.1%
부 1609
 
7.0%
산 1603
 
6.9%
시 1380
 
6.0%
광 1378
 
6.0%
구 1317
 
5.7%
역 1288
 
5.6%
로 1279
 
5.5%
대 668
 
2.9%
층 615
 
2.7%
Other values (336) 10349
44.8%
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%
Y 5
 
3.6%
H 5
 
3.6%
N 5
 
3.6%
E 5
 
3.6%
Other values (17) 35
25.5%
Common
ValueCountFrequency (%)
6715
41.3%
) 1267
 
7.8%
( 1267
 
7.8%
1 1178
 
7.2%
, 1056
 
6.5%
2 918
 
5.6%
3 746
 
4.6%
4 570
 
3.5%
0 565
 
3.5%
5 456
 
2.8%
Other values (16) 1540
 
9.5%
Han
ValueCountFrequency (%)
盧 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 23126
58.5%
ASCII 16413
41.5%
None 2
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6715
40.9%
) 1267
 
7.7%
( 1267
 
7.7%
1 1178
 
7.2%
, 1056
 
6.4%
2 918
 
5.6%
3 746
 
4.5%
4 570
 
3.5%
0 565
 
3.4%
5 456
 
2.8%
Other values (41) 1675
 
10.2%
Hangul
ValueCountFrequency (%)
동 1640
 
7.1%
부 1609
 
7.0%
산 1603
 
6.9%
시 1380
 
6.0%
광 1378
 
6.0%
구 1317
 
5.7%
역 1288
 
5.6%
로 1279
 
5.5%
대 668
 
2.9%
층 615
 
2.7%
Other values (336) 10349
44.8%
None
ValueCountFrequency (%)
？ 1
50.0%
· 1
50.0%
CJK Compat Ideographs
ValueCountFrequency (%)
盧 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct523
Distinct (%)63.0%
Missing492
Missing (%)37.2%
Infinite0
Infinite (%)0.0%
Mean82271.478
Minimum46004
Maximum619905
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.7 KiB
2024-04-17T13:11:46.516213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46004
5-th percentile46230
Q147145
median47757
Q348514.75
95-th percentile604840.2
Maximum619905
Range573901
Interquartile range (IQR)1369.75

Descriptive statistics

Standard deviation135198.77
Coefficient of variation (CV)1.6433249
Kurtosis11.420762
Mean82271.478
Median Absolute Deviation (MAD)725
Skewness3.6593391
Sum68285327
Variance1.8278708 × 1010
MonotonicityNot monotonic
2024-04-17T13:11:46.653357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
46726 14
 
1.1%
48059 13
 
1.0%
48119 11
 
0.8%
46759 7
 
0.5%
48111 7
 
0.5%
47247 6
 
0.5%
48515 6
 
0.5%
46230 6
 
0.5%
46765 6
 
0.5%
46015 6
 
0.5%
Other values (513) 748
56.6%
(Missing) 492
37.2%
ValueCountFrequency (%)
46004 1
 
0.1%
46008 4
0.3%
46015 6
0.5%
46017 4
0.3%
46023 1
 
0.1%
46024 1
 
0.1%
46032 1
 
0.1%
46048 1
 
0.1%
46054 1
 
0.1%
46055 1
 
0.1%
ValueCountFrequency (%)
619905 2
0.2%
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

Distinct1216
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Memory size10.5 KiB
2024-04-17T13:11:46.890937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length21
Mean length7.2012103
Min length2

Characters and Unicode

Total characters9520
Distinct characters521
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

Unique1136 ?
Unique (%)85.9%

Sample

1st row억스헬스클럽
2nd row빅토리아 헬스
3rd row부천헬스클럽
4th row해성헬스클럽
5th row파시헬스클럽
ValueCountFrequency (%)
휘트니스 83
 
4.4%
피트니스 47
 
2.5%
헬스 33
 
1.7%
gym 29
 
1.5%
짐 19
 
1.0%
헬스클럽 16
 
0.8%
핏 12
 
0.6%
더 11
 
0.6%
pt 9
 
0.5%
커브스 8
 
0.4%
Other values (1350) 1638
86.0%
2024-04-17T13:11:47.203704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 1072
 
11.3%
583
 
6.1%
헬 468
 
4.9%
트 384
 
4.0%
니 304
 
3.2%
휘 203
 
2.1%
럽 183
 
1.9%
클 180
 
1.9%
피 139
 
1.5%
짐 137
 
1.4%
Other values (511) 5867
61.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7733
81.2%
Uppercase Letter 683
 
7.2%
Space Separator 583
 
6.1%
Lowercase Letter 232
 
2.4%
Open Punctuation 80
 
0.8%
Close Punctuation 80
 
0.8%
Decimal Number 69
 
0.7%
Other Punctuation 53
 
0.6%
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 1072
 
13.9%
헬 468
 
6.1%
트 384
 
5.0%
니 304
 
3.9%
휘 203
 
2.6%
럽 183
 
2.4%
클 180
 
2.3%
피 139
 
1.8%
짐 137
 
1.8%
이 117
 
1.5%
Other values (441) 4546
58.8%
Uppercase Letter
ValueCountFrequency (%)
M 68
 
10.0%
T 67
 
9.8%
G 58
 
8.5%
Y 53
 
7.8%
S 48
 
7.0%
P 45
 
6.6%
A 44
 
6.4%
O 34
 
5.0%
I 30
 
4.4%
F 26
 
3.8%
Other values (15) 210
30.7%
Lowercase Letter
ValueCountFrequency (%)
e 26
11.2%
i 23
9.9%
o 22
9.5%
s 22
9.5%
n 20
8.6%
t 20
8.6%
r 14
 
6.0%
m 13
 
5.6%
a 12
 
5.2%
y 11
 
4.7%
Other values (11) 49
21.1%
Decimal Number
ValueCountFrequency (%)
2 21
30.4%
1 12
17.4%
4 7
 
10.1%
3 7
 
10.1%
0 6
 
8.7%
5 6
 
8.7%
6 4
 
5.8%
8 3
 
4.3%
7 2
 
2.9%
9 1
 
1.4%
Other Punctuation
ValueCountFrequency (%)
& 22
41.5%
. 19
35.8%
, 7
 
13.2%
: 2
 
3.8%
· 2
 
3.8%
# 1
 
1.9%
Math Symbol
ValueCountFrequency (%)
⇒ 1
50.0%
+ 1
50.0%
Space Separator
ValueCountFrequency (%)
583
100.0%
Open Punctuation
ValueCountFrequency (%)
( 80
100.0%
Close Punctuation
ValueCountFrequency (%)
) 80
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 7732
81.2%
Latin 915
 
9.6%
Common 872
 
9.2%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 1072
 
13.9%
헬 468
 
6.1%
트 384
 
5.0%
니 304
 
3.9%
휘 203
 
2.6%
럽 183
 
2.4%
클 180
 
2.3%
피 139
 
1.8%
짐 137
 
1.8%
이 117
 
1.5%
Other values (440) 4545
58.8%
Latin
ValueCountFrequency (%)
M 68
 
7.4%
T 67
 
7.3%
G 58
 
6.3%
Y 53
 
5.8%
S 48
 
5.2%
P 45
 
4.9%
A 44
 
4.8%
O 34
 
3.7%
I 30
 
3.3%
e 26
 
2.8%
Other values (36) 442
48.3%
Common
ValueCountFrequency (%)
583
66.9%
( 80
 
9.2%
) 80
 
9.2%
& 22
 
2.5%
2 21
 
2.4%
. 19
 
2.2%
1 12
 
1.4%
, 7
 
0.8%
4 7
 
0.8%
3 7
 
0.8%
Other values (14) 34
 
3.9%
Han
ValueCountFrequency (%)
日 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7732
81.2%
ASCII 1782
 
18.7%
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 1072
 
13.9%
헬 468
 
6.1%
트 384
 
5.0%
니 304
 
3.9%
휘 203
 
2.6%
럽 183
 
2.4%
클 180
 
2.3%
피 139
 
1.8%
짐 137
 
1.8%
이 117
 
1.5%
Other values (440) 4545
58.8%
ASCII
ValueCountFrequency (%)
583
32.7%
( 80
 
4.5%
) 80
 
4.5%
M 68
 
3.8%
T 67
 
3.8%
G 58
 
3.3%
Y 53
 
3.0%
S 48
 
2.7%
P 45
 
2.5%
A 44
 
2.5%
Other values (56) 656
36.8%
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)

Distinct1320
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0155292 × 1013
Minimum2.0021018 × 1013
Maximum2.0210128 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.7 KiB
2024-04-17T13:11:47.556565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0021018 × 1013
5-th percentile2.0041218 × 1013
Q12.0120228 × 1013
median2.0180366 × 1013
Q32.0200211 × 1013
95-th percentile2.0201113 × 1013
Maximum2.0210128 × 1013
Range1.8911003 × 1011
Interquartile range (IQR)7.9983025 × 1010

Descriptive statistics

Standard deviation5.1862425 × 1010
Coefficient of variation (CV)0.0025731418
Kurtosis-0.24576515
Mean2.0155292 × 1013
Median Absolute Deviation (MAD)2.0342526 × 1010
Skewness-1.0178306
Sum2.6645296 × 1016
Variance2.6897112 × 1021
MonotonicityNot monotonic
2024-04-17T13:11:47.697294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20021018132120 3
 
0.2%
20091106160505 1
 
0.1%
20180829113242 1
 
0.1%
20070424161355 1
 
0.1%
20051110153427 1
 
0.1%
20180705141429 1
 
0.1%
20041218114843 1
 
0.1%
20051212094643 1
 
0.1%
20070528175241 1
 
0.1%
20180605135803 1
 
0.1%
Other values (1310) 1310
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 (%)
20210128162219 1
0.1%
20210122135332 1
0.1%
20210121133410 1
0.1%
20210121094006 1
0.1%
20210119180934 1
0.1%
20210119134832 1
0.1%
20210119111628 1
0.1%
20210118135515 1
0.1%
20210115101546 1
0.1%
20210114125138 1
0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size10.5 KiB
I
861 
U
461 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 861
65.1%
U 461
34.9%

Length

2024-04-17T13:11:47.811254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T13:11:47.885861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 861
65.1%
u 461
34.9%

데이터갱신일자
Date

Distinct369
Distinct (%)27.9%
Missing0
Missing (%)0.0%
Memory size10.5 KiB
Minimum2018-08-31 23:59:59
Maximum2021-01-30 00:23:03
2024-04-17T13:11:47.969492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T13:11:48.084388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1322
Missing (%)100.0%
Memory size11.7 KiB

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct1138
Distinct (%)87.3%
Missing18
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean387951.06
Minimum366820.79
Maximum404771.78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.7 KiB
2024-04-17T13:11:48.195781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum366820.79
5-th percentile379188.24
Q1384193.24
median388377.33
Q3391627.08
95-th percentile397880.03
Maximum404771.78
Range37950.995
Interquartile range (IQR)7433.8319

Descriptive statistics

Standard deviation5716.3652
Coefficient of variation (CV)0.014734759
Kurtosis0.29982083
Mean387951.06
Median Absolute Deviation (MAD)3689.02
Skewness-0.24101622
Sum5.0588818 × 108
Variance32676831
MonotonicityNot monotonic
2024-04-17T13:11:48.334848image/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%
391283.629558671 3
 
0.2%
398330.516530402 3
 
0.2%
383217.253829884 3
 
0.2%
389816.233000769 3
 
0.2%
395615.201853958 3
 
0.2%
Other values (1128) 1264
95.6%
(Missing) 18
 
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
0.2%
371179.51398421 1
0.1%
371181.352545926 2
0.2%
371209.375961705 2
0.2%
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 

Distinct1138
Distinct (%)87.3%
Missing18
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean186848.07
Minimum173961.91
Maximum207205.17
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.7 KiB
2024-04-17T13:11:48.451563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum173961.91
5-th percentile177935.96
Q1183198.54
median186778
Q3190535.24
95-th percentile196175.41
Maximum207205.17
Range33243.255
Interquartile range (IQR)7336.7083

Descriptive statistics

Standard deviation5648.6943
Coefficient of variation (CV)0.030231483
Kurtosis0.4028491
Mean186848.07
Median Absolute Deviation (MAD)3723.738
Skewness0.32706065
Sum2.4364988 × 108
Variance31907747
MonotonicityNot monotonic
2024-04-17T13:11:48.554865image/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%
183979.58696558 3
 
0.2%
187771.511373596 3
 
0.2%
194786.946259107 3
 
0.2%
193329.605871168 3
 
0.2%
186406.750870936 3
 
0.2%
Other values (1128) 1264
95.6%
(Missing) 18
 
1.4%
ValueCountFrequency (%)
173961.914773076 1
0.1%
173968.574615591 2
0.2%
174140.916066183 1
0.1%
174289.976688419 1
0.1%
174307.148168245 1
0.1%
174403.0 1
0.1%
174596.132939092 2
0.2%
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 size10.5 KiB
체력단련장업
1322 

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 1322
100.0%

Length

2024-04-17T13:11:48.661768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T13:11:48.742907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
체력단련장업 1322
100.0%

공사립구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.5 KiB
사립
1322 

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 1322
100.0%

Length

2024-04-17T13:11:48.819023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T13:11:48.890124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 1322
100.0%

보험가입여부코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size10.5 KiB
<NA>
1015 
0
278 
Y
 
21
1
 
8

Length

Max length4
Median length4
Mean length3.3033283
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1015
76.8%
0 278
 
21.0%
Y 21
 
1.6%
1 8
 
0.6%

Length

2024-04-17T13:11:48.972756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T13:11:49.057361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1015
76.8%
0 278
 
21.0%
y 21
 
1.6%
1 8
 
0.6%

지도자수
Categorical

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size10.5 KiB
<NA>
774 
1
390 
2
154 
0
 
3
3
 
1

Length

Max length4
Median length4
Mean length2.7564297
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 774
58.5%
1 390
29.5%
2 154
 
11.6%
0 3
 
0.2%
3 1
 
0.1%

Length

2024-04-17T13:11:49.149650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T13:11:49.234568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 774
58.5%
1 390
29.5%
2 154
 
11.6%
0 3
 
0.2%
3 1
 
0.1%

건축물동수
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)4.2%
Missing1133
Missing (%)85.7%
Infinite0
Infinite (%)0.0%
Mean2.7142857
Minimum0
Maximum302
Zeros16
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size11.7 KiB
2024-04-17T13:11:49.313091image/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 deviation21.91237
Coefficient of variation (CV)8.0729786
Kurtosis188.06446
Mean2.7142857
Median Absolute Deviation (MAD)0
Skewness13.697764
Sum513
Variance480.15198
MonotonicityNot monotonic
2024-04-17T13:11:49.394102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 156
 
11.8%
0 16
 
1.2%
2 8
 
0.6%
3 5
 
0.4%
302 1
 
0.1%
8 1
 
0.1%
12 1
 
0.1%
4 1
 
0.1%
(Missing) 1133
85.7%
ValueCountFrequency (%)
0 16
 
1.2%
1 156
11.8%
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%
1 156
11.8%
0 16
 
1.2%

건축물연면적
Real number (ℝ)

MISSING  ZEROS 

Distinct648
Distinct (%)92.2%
Missing619
Missing (%)46.8%
Infinite0
Infinite (%)0.0%
Mean35562.295
Minimum0
Maximum10735378
Zeros18
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size11.7 KiB
2024-04-17T13:11:49.502679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile93.498
Q1225.755
median557
Q32496.1
95-th percentile22974.549
Maximum10735378
Range10735378
Interquartile range (IQR)2270.345

Descriptive statistics

Standard deviation525658.1
Coefficient of variation (CV)14.781332
Kurtosis354.15868
Mean35562.295
Median Absolute Deviation (MAD)437
Skewness18.66329
Sum25000293
Variance2.7631644 × 1011
MonotonicityNot monotonic
2024-04-17T13:11:49.615694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 18
 
1.4%
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%
147.8 2
 
0.2%
178.2 2
 
0.2%
3772.29 2
 
0.2%
8993.58 2
 
0.2%
Other values (638) 654
49.5%
(Missing) 619
46.8%
ValueCountFrequency (%)
0.0 18
1.4%
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
 
0.2%
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%
Missing1313
Missing (%)99.3%
Infinite0
Infinite (%)0.0%
Mean84.555556
Minimum1
Maximum250
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.7 KiB
2024-04-17T13:11:49.701930image/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
2024-04-17T13:11:49.779112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
100 2
 
0.2%
20 2
 
0.2%
10 1
 
0.1%
200 1
 
0.1%
1 1
 
0.1%
60 1
 
0.1%
250 1
 
0.1%
(Missing) 1313
99.3%
ValueCountFrequency (%)
1 1
0.1%
10 1
0.1%
20 2
0.2%
60 1
0.1%
100 2
0.2%
200 1
0.1%
250 1
0.1%
ValueCountFrequency (%)
250 1
0.1%
200 1
0.1%
100 2
0.2%
60 1
0.1%
20 2
0.2%
10 1
0.1%
1 1
0.1%

세부업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1322
Missing (%)100.0%
Memory size11.7 KiB

법인명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1322
Missing (%)100.0%
Memory size11.7 KiB

Unnamed: 37
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1322
Missing (%)100.0%
Memory size11.7 KiB

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명Unnamed: 37
01체력단련장업10_42_01_P3250000CDFH330106198200000119821015<NA>3폐업3폐업20091106<NA><NA><NA>051-244-7177<NA>600074부산광역시 중구 부평동4가 57번지<NA><NA>억스헬스클럽20091106160505I2018-08-31 23:59:59.0<NA><NA><NA>체력단련장업사립0<NA><NA>82.0<NA><NA><NA><NA>
12체력단련장업10_42_01_P3250000CDFH330106199800000119981203<NA>3폐업3폐업20200316<NA><NA><NA>051-254-3707<NA><NA>부산광역시 중구 보수동2가 48-1번지부산광역시 중구 흑교로 81 (보수동2가)48963빅토리아 헬스20200316113019U2020-03-18 02:40:00.0<NA>384386.026619180443.305581체력단련장업사립<NA><NA><NA>273.26<NA><NA><NA><NA>
23체력단련장업10_42_01_P3250000CDFH330106199800000219981020<NA>3폐업3폐업20091124<NA><NA><NA>051-244-3396<NA>600074부산광역시 중구 부평동4가 28번지<NA><NA>부천헬스클럽20091124111200I2018-08-31 23:59:59.0<NA><NA><NA>체력단련장업사립0<NA><NA>156.0<NA><NA><NA><NA>
34체력단련장업10_42_01_P3250000CDFH330106199900000119990927<NA>3폐업3폐업20040909<NA><NA><NA>051-246-7488<NA>600803부산광역시 중구 보수동1가 144-4번지부산광역시 중구 대청로 71 (보수동1가)<NA>해성헬스클럽20041119110347I2018-08-31 23:59:59.0<NA>384805.684034180124.151745체력단련장업사립0<NA><NA>339.0<NA><NA><NA><NA>
45체력단련장업10_42_01_P3250000CDFH330106199900000219990831<NA>3폐업3폐업20111208<NA><NA><NA>051-255-0559<NA>600060부산광역시 중구 신창동1가 1-3번지부산광역시 중구 광복중앙로 33 (신창동1가)<NA>파시헬스클럽20111208164250I2018-08-31 23:59:59.0<NA>385074.807762180030.905431체력단련장업사립<NA><NA><NA>172.8<NA><NA><NA><NA>
56체력단련장업10_42_01_P3250000CDFH330106200000000220000131<NA>3폐업3폐업20040610<NA><NA><NA>051-464-8832<NA>600100부산광역시 중구 대창동2가 32번지<NA><NA>드림헬스20040705164350I2018-08-31 23:59:59.0<NA><NA><NA>체력단련장업사립0<NA><NA>125.0<NA><NA><NA><NA>
67체력단련장업10_42_01_P3250000CDFH330106200300000120030303<NA>3폐업3폐업20040805<NA><NA><NA>051-231-3700<NA>600046부산광역시 중구 남포동6가 85번지부산광역시 중구 비프광장로 20 (남포동6가)<NA>(주)글로벌 휘트니스 센타20041202140319I2018-08-31 23:59:59.0<NA>384819.053112179587.403633체력단련장업사립0<NA><NA><NA><NA><NA><NA><NA>
78체력단련장업10_42_01_P3250000CDFH330106200300000220031027<NA>3폐업3폐업20110621<NA><NA><NA>051-254-4452<NA>600060부산광역시 중구 신창동1가 8-2번지부산광역시 중구 광복중앙로 13 (신창동1가)<NA>한국헬스피아20110621161148I2018-08-31 23:59:59.0<NA>385096.938581179823.233035체력단련장업사립<NA><NA><NA><NA><NA><NA><NA><NA>
89체력단련장업10_42_01_P3250000CDFH330106200300000320031206<NA>3폐업3폐업20081010<NA><NA><NA>051-246-9051<NA>600045부산광역시 중구 남포동5가 50-2번지부산광역시 중구 자갈치로47번길 5 (남포동5가)<NA>KAFA FITNESS 헬스20081010115844I2018-08-31 23:59:59.0<NA>384964.112424179500.309008체력단련장업사립0<NA><NA><NA><NA><NA><NA><NA>
910체력단련장업10_42_01_P3250000CDFH330106200400000320040830<NA>3폐업3폐업20190619<NA><NA><NA>246-7488<NA>600060부산광역시 중구 신창동3가 38번지부산광역시 중구 광복로35번길 33 (신창동3가)<NA>해성헬스20190619141502U2019-06-21 02:40:00.0<NA>384902.554375180019.211549체력단련장업사립<NA><NA><NA>2349.27<NA><NA><NA><NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명Unnamed: 37
13121313체력단련장업10_42_01_P3330000CDFH330106199800000119980220<NA>4취소/말소/만료/정지/중지35직권말소20181204<NA><NA><NA>051-746-8774<NA>612819부산광역시 해운대구 우동 402-7번지부산광역시 해운대구 우동2로 48 (우동)<NA>아이언헬스클럽20181204131519U2018-12-06 02:40:00.0<NA>396541.110429187549.030973체력단련장업사립<NA>1<NA>135.53<NA><NA><NA><NA>
13131314체력단련장업10_42_01_P3330000CDFH330106200200000320021011<NA>4취소/말소/만료/정지/중지35직권말소20191231<NA><NA><NA>051-783-5237<NA>612813부산광역시 해운대구 반여동 1291-619번지부산광역시 해운대구 재반로211번길 22-42 (반여동)<NA>마운틴스포츠헬스20191227113626U2019-12-29 02:40:00.0<NA>393900.557222190690.687986체력단련장업사립<NA>1<NA>230.23<NA><NA><NA><NA>
13141315체력단련장업10_42_01_P3330000CDFH330106201300000120130130<NA>4취소/말소/만료/정지/중지35직권말소20181204<NA><NA><NA>051-703-1137~8<NA>612032부산광역시 해운대구 좌동 1479-3번지 세종월드프라자 703-1호부산광역시 해운대구 해운대로 814, 703-1호 (좌동, 세종월드프라자)612032프라임 휘트니스20181204132829U2018-12-06 02:40:00.0<NA>398330.51653187771.511374체력단련장업사립<NA>2<NA><NA><NA><NA><NA><NA>
13151316체력단련장업10_42_01_P3330000CDFH330106201300000220130503<NA>4취소/말소/만료/정지/중지35직권말소20181204<NA><NA><NA>051-908-9913<NA>612879부산광역시 해운대구 반여동 1628-5번지 2층부산광역시 해운대구 반여로 108, 2층 (반여동)48036BODY KIUM GYM20181204110905U2018-12-06 02:40:00.0<NA>393333.564308191164.055627체력단련장업사립<NA>11734.0<NA><NA><NA><NA>
13161317체력단련장업10_42_01_P3330000CDFH330106201400000520140514<NA>4취소/말소/만료/정지/중지35직권말소20181204<NA><NA><NA>051-743-2228<NA>612889부산광역시 해운대구 우동 1518번지 센텀메디컬센타 3층부산광역시 해운대구 센텀2로 10, 3층 (우동, 센텀메디컬센타)48060퓨어 휘트니스20181204122848U2018-12-06 02:40:00.0<NA>394130.221852187482.443776체력단련장업사립<NA>217559.0<NA><NA><NA><NA>
13171318체력단련장업10_42_01_P3330000CDFH330106201000000420100726<NA>4취소/말소/만료/정지/중지35직권말소20181204<NA><NA><NA><NA><NA>612874부산광역시 해운대구 우동 1507번지 트럼프월드센텀2 상가 401호부산광역시 해운대구 센텀3로 32 (우동,트럼프월드센텀2 상가 401호)<NA>액티브짐20181204131110U2018-12-06 02:40:00.0<NA>394340.42655187360.76946체력단련장업사립<NA>2<NA><NA><NA><NA><NA><NA>
13181319체력단련장업10_42_01_P3330000CDFH330106201100000320110613<NA>4취소/말소/만료/정지/중지35직권말소20181204<NA><NA><NA><NA><NA>612725부산광역시 해운대구 우동 1434번지 썬프라자 217호부산광역시 해운대구 마린시티3로 1, 217호 (우동,썬프라자)<NA>Devils다이어트20181204110623U2018-12-06 02:40:00.0<NA>395615.201854186406.750871체력단련장업사립<NA><NA><NA><NA><NA><NA><NA><NA>
13191320체력단련장업10_42_01_P3330000CDFH330106201100000520110829<NA>4취소/말소/만료/정지/중지35직권말소20181204<NA><NA><NA><NA><NA>612725부산광역시 해운대구 우동 1434번지 썬프라자 318호부산광역시 해운대구 마린시티3로 1, 318호 (우동)48092커브스우동클럽20181204110659U2018-12-06 02:40:00.0<NA>395615.201854186406.750871체력단련장업사립<NA><NA><NA><NA><NA><NA><NA><NA>
13201321체력단련장업10_42_01_P3330000CDFH330106201100000620111011<NA>4취소/말소/만료/정지/중지35직권말소20181204<NA><NA><NA><NA><NA>612700부산광역시 해운대구 우동 1410번지 트럼프월드마린아파트 D동 207호부산광역시 해운대구 마린시티2로 47, D동 207호 (우동,트럼프월드마린아파트)<NA>맘스짐20181204110506U2018-12-06 02:40:00.0<NA>395272.187921186102.052954체력단련장업사립Y1<NA><NA>20<NA><NA><NA>
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