Overview

Dataset statistics

Number of variables37
Number of observations1017
Missing cells8530
Missing cells (%)22.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory316.9 KiB
Average record size in memory319.1 B

Variable types

Numeric10
Categorical15
Text5
Unsupported6
DateTime1

Dataset

Description22년10월_6270000_대구광역시_10_42_01_P_체력단련장업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000096817&dataSetDetailId=DDI_0000096841&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 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 (54.5%)Imbalance
건축물동수 is highly imbalanced (56.3%)Imbalance
회원모집총인원 is highly imbalanced (60.3%)Imbalance
인허가취소일자 has 1017 (100.0%) missing valuesMissing
폐업일자 has 568 (55.9%) missing valuesMissing
재개업일자 has 1017 (100.0%) missing valuesMissing
소재지전화 has 309 (30.4%) missing valuesMissing
소재지면적 has 1017 (100.0%) missing valuesMissing
소재지우편번호 has 568 (55.9%) missing valuesMissing
소재지전체주소 has 26 (2.6%) missing valuesMissing
도로명전체주소 has 41 (4.0%) missing valuesMissing
도로명우편번호 has 305 (30.0%) missing valuesMissing
업태구분명 has 1017 (100.0%) missing valuesMissing
좌표정보(X) has 26 (2.6%) missing valuesMissing
좌표정보(Y) has 26 (2.6%) missing valuesMissing
건축물연면적 has 559 (55.0%) missing valuesMissing
세부업종명 has 1017 (100.0%) missing valuesMissing
법인명 has 1017 (100.0%) missing valuesMissing
번호 has unique valuesUnique
최종수정시점 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
건축물연면적 has 179 (17.6%) zerosZeros

Reproduction

Analysis started2023-12-10 17:58:02.983297
Analysis finished2023-12-10 17:58:04.371287
Duration1.39 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct1017
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean509
Minimum1
Maximum1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.1 KiB
2023-12-11T02:58:04.537555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile51.8
Q1255
median509
Q3763
95-th percentile966.2
Maximum1017
Range1016
Interquartile range (IQR)508

Descriptive statistics

Standard deviation293.72691
Coefficient of variation (CV)0.57706663
Kurtosis-1.2
Mean509
Median Absolute Deviation (MAD)254
Skewness0
Sum517653
Variance86275.5
MonotonicityStrictly increasing
2023-12-11T02:58:04.811628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
684 1
 
0.1%
671 1
 
0.1%
672 1
 
0.1%
673 1
 
0.1%
674 1
 
0.1%
675 1
 
0.1%
676 1
 
0.1%
677 1
 
0.1%
678 1
 
0.1%
Other values (1007) 1007
99.0%
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 (%)
1017 1
0.1%
1016 1
0.1%
1015 1
0.1%
1014 1
0.1%
1013 1
0.1%
1012 1
0.1%
1011 1
0.1%
1010 1
0.1%
1009 1
0.1%
1008 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size8.1 KiB
체력단련장업
1017 

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 1017
100.0%

Length

2023-12-11T02:58:05.076845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:58:05.239677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
체력단련장업 1017
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size8.1 KiB
10_42_01_P
1017 

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 1017
100.0%

Length

2023-12-11T02:58:05.399780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:58:05.556612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10_42_01_p 1017
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3449773.8
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.1 KiB
2023-12-11T02:58:05.745329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13430000
median3460000
Q33470000
95-th percentile3480000
Maximum3480000
Range70000
Interquartile range (IQR)40000

Descriptive statistics

Standard deviation20910.57
Coefficient of variation (CV)0.0060614322
Kurtosis-0.91622376
Mean3449773.8
Median Absolute Deviation (MAD)10000
Skewness-0.56665536
Sum3.50842 × 109
Variance4.3725195 × 108
MonotonicityIncreasing
2023-12-11T02:58:05.968943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3460000 243
23.9%
3470000 219
21.5%
3450000 168
16.5%
3420000 139
13.7%
3410000 78
 
7.7%
3480000 62
 
6.1%
3440000 55
 
5.4%
3430000 53
 
5.2%
ValueCountFrequency (%)
3410000 78
 
7.7%
3420000 139
13.7%
3430000 53
 
5.2%
3440000 55
 
5.4%
3450000 168
16.5%
3460000 243
23.9%
3470000 219
21.5%
3480000 62
 
6.1%
ValueCountFrequency (%)
3480000 62
 
6.1%
3470000 219
21.5%
3460000 243
23.9%
3450000 168
16.5%
3440000 55
 
5.4%
3430000 53
 
5.2%
3420000 139
13.7%
3410000 78
 
7.7%

관리번호
Text

Distinct295
Distinct (%)29.0%
Missing0
Missing (%)0.0%
Memory size8.1 KiB
2023-12-11T02:58:06.262414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters20340
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

Unique67 ?
Unique (%)6.6%

Sample

1st rowCDFH3301061996000002
2nd rowCDFH3301061999000001
3rd rowCDFH3301062011000003
4th rowCDFH3301061997000001
5th rowCDFH3301062002000007
ValueCountFrequency (%)
cdfh3301062019000002 8
 
0.8%
cdfh3301062005000001 8
 
0.8%
cdfh3301062020000001 8
 
0.8%
cdfh3301062019000001 8
 
0.8%
cdfh3301062016000001 8
 
0.8%
cdfh3301062017000001 8
 
0.8%
cdfh3301062014000001 8
 
0.8%
cdfh3301061999000001 8
 
0.8%
cdfh3301062003000001 8
 
0.8%
cdfh3301062007000001 8
 
0.8%
Other values (285) 937
92.1%
2023-12-11T02:58:06.836939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 8412
41.4%
3 2265
 
11.1%
1 1949
 
9.6%
2 1496
 
7.4%
6 1181
 
5.8%
C 1017
 
5.0%
D 1017
 
5.0%
F 1017
 
5.0%
H 1017
 
5.0%
9 347
 
1.7%
Other values (4) 622
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 16272
80.0%
Uppercase Letter 4068
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 8412
51.7%
3 2265
 
13.9%
1 1949
 
12.0%
2 1496
 
9.2%
6 1181
 
7.3%
9 347
 
2.1%
5 186
 
1.1%
4 180
 
1.1%
7 135
 
0.8%
8 121
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
C 1017
25.0%
D 1017
25.0%
F 1017
25.0%
H 1017
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 16272
80.0%
Latin 4068
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 8412
51.7%
3 2265
 
13.9%
1 1949
 
12.0%
2 1496
 
9.2%
6 1181
 
7.3%
9 347
 
2.1%
5 186
 
1.1%
4 180
 
1.1%
7 135
 
0.8%
8 121
 
0.7%
Latin
ValueCountFrequency (%)
C 1017
25.0%
D 1017
25.0%
F 1017
25.0%
H 1017
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 20340
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 8412
41.4%
3 2265
 
11.1%
1 1949
 
9.6%
2 1496
 
7.4%
6 1181
 
5.8%
C 1017
 
5.0%
D 1017
 
5.0%
F 1017
 
5.0%
H 1017
 
5.0%
9 347
 
1.7%
Other values (4) 622
 
3.1%

인허가일자
Real number (ℝ)

Distinct931
Distinct (%)91.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20105754
Minimum19900615
Maximum20221031
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.1 KiB
2023-12-11T02:58:07.146899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19900615
5-th percentile19970322
Q120030307
median20110831
Q320190226
95-th percentile20220414
Maximum20221031
Range320416
Interquartile range (IQR)159919

Descriptive statistics

Standard deviation85436.642
Coefficient of variation (CV)0.0042493627
Kurtosis-1.1675507
Mean20105754
Median Absolute Deviation (MAD)80106
Skewness-0.24917539
Sum2.0447552 × 1010
Variance7.2994198 × 109
MonotonicityNot monotonic
2023-12-11T02:58:07.391041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20210208 6
 
0.6%
20220830 3
 
0.3%
20220302 3
 
0.3%
20220411 3
 
0.3%
20200428 3
 
0.3%
20190514 3
 
0.3%
20220415 3
 
0.3%
20041120 2
 
0.2%
20220810 2
 
0.2%
20030214 2
 
0.2%
Other values (921) 987
97.1%
ValueCountFrequency (%)
19900615 1
0.1%
19900712 1
0.1%
19910118 1
0.1%
19910409 1
0.1%
19910523 1
0.1%
19910826 1
0.1%
19911201 1
0.1%
19920218 1
0.1%
19920325 1
0.1%
19920504 1
0.1%
ValueCountFrequency (%)
20221031 1
0.1%
20221014 1
0.1%
20221013 1
0.1%
20221011 1
0.1%
20221007 1
0.1%
20221005 1
0.1%
20220921 1
0.1%
20220916 1
0.1%
20220913 1
0.1%
20220907 2
0.2%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1017
Missing (%)100.0%
Memory size9.1 KiB

영업상태구분코드
Categorical

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size8.1 KiB
1
566 
3
378 
4
72 
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row3
2nd row3
3rd row3
4th row4
5th row4

Common Values

ValueCountFrequency (%)
1 566
55.7%
3 378
37.2%
4 72
 
7.1%
2 1
 
0.1%

Length

2023-12-11T02:58:07.708417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:58:07.895066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 566
55.7%
3 378
37.2%
4 72
 
7.1%
2 1
 
0.1%

영업상태명
Categorical

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size8.1 KiB
영업/정상
566 
폐업
378 
취소/말소/만료/정지/중지
72 
휴업
 
1

Length

Max length14
Median length5
Mean length4.519174
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row폐업
2nd row폐업
3rd row폐업
4th row취소/말소/만료/정지/중지
5th row취소/말소/만료/정지/중지

Common Values

ValueCountFrequency (%)
영업/정상 566
55.7%
폐업 378
37.2%
취소/말소/만료/정지/중지 72
 
7.1%
휴업 1
 
0.1%

Length

2023-12-11T02:58:08.136110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:58:08.354902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 566
55.7%
폐업 378
37.2%
취소/말소/만료/정지/중지 72
 
7.1%
휴업 1
 
0.1%

상세영업상태코드
Categorical

Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.1 KiB
13
566 
3
375 
35
72 
34
 
3
2
 
1

Length

Max length2
Median length2
Mean length1.6302852
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row34
2nd row34
3rd row34
4th row35
5th row35

Common Values

ValueCountFrequency (%)
13 566
55.7%
3 375
36.9%
35 72
 
7.1%
34 3
 
0.3%
2 1
 
0.1%

Length

2023-12-11T02:58:08.621092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:58:08.811596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 566
55.7%
3 375
36.9%
35 72
 
7.1%
34 3
 
0.3%
2 1
 
0.1%

상세영업상태명
Categorical

Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.1 KiB
영업중
566 
폐업
375 
직권말소
72 
영업장폐쇄
 
3
휴업
 
1

Length

Max length5
Median length3
Mean length2.7069813
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row영업장폐쇄
2nd row영업장폐쇄
3rd row영업장폐쇄
4th row직권말소
5th row직권말소

Common Values

ValueCountFrequency (%)
영업중 566
55.7%
폐업 375
36.9%
직권말소 72
 
7.1%
영업장폐쇄 3
 
0.3%
휴업 1
 
0.1%

Length

2023-12-11T02:58:09.052645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:58:09.240399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 566
55.7%
폐업 375
36.9%
직권말소 72
 
7.1%
영업장폐쇄 3
 
0.3%
휴업 1
 
0.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct368
Distinct (%)82.0%
Missing568
Missing (%)55.9%
Infinite0
Infinite (%)0.0%
Mean20134213
Minimum19981231
Maximum20221013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.1 KiB
2023-12-11T02:58:09.489659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19981231
5-th percentile20040195
Q120071221
median20150102
Q320190329
95-th percentile20210507
Maximum20221013
Range239782
Interquartile range (IQR)119108

Descriptive statistics

Standard deviation59943.034
Coefficient of variation (CV)0.0029771729
Kurtosis-1.2515332
Mean20134213
Median Absolute Deviation (MAD)49277
Skewness-0.33701311
Sum9.0402618 × 109
Variance3.5931674 × 109
MonotonicityNot monotonic
2023-12-11T02:58:09.815252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20170718 11
 
1.1%
20210115 9
 
0.9%
20200713 7
 
0.7%
20190620 6
 
0.6%
20180905 5
 
0.5%
20181026 5
 
0.5%
20190729 4
 
0.4%
20051220 3
 
0.3%
20180605 3
 
0.3%
20130730 3
 
0.3%
Other values (358) 393
38.6%
(Missing) 568
55.9%
ValueCountFrequency (%)
19981231 1
0.1%
20011208 1
0.1%
20020830 1
0.1%
20021213 1
0.1%
20030107 2
0.2%
20030113 1
0.1%
20030305 1
0.1%
20030326 1
0.1%
20030519 1
0.1%
20030520 1
0.1%
ValueCountFrequency (%)
20221013 1
 
0.1%
20220824 1
 
0.1%
20220729 1
 
0.1%
20220620 1
 
0.1%
20220608 1
 
0.1%
20220524 1
 
0.1%
20220512 3
0.3%
20220511 1
 
0.1%
20220418 1
 
0.1%
20220408 1
 
0.1%

휴업시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.1 KiB
<NA>
1016 
20180529
 
1

Length

Max length8
Median length4
Mean length4.0039331
Min length4

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> 1016
99.9%
20180529 1
 
0.1%

Length

2023-12-11T02:58:10.070594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:58:10.271065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1016
99.9%
20180529 1
 
0.1%

휴업종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.1 KiB
<NA>
1016 
20200529
 
1

Length

Max length8
Median length4
Mean length4.0039331
Min length4

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> 1016
99.9%
20200529 1
 
0.1%

Length

2023-12-11T02:58:10.476454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:58:10.686149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1016
99.9%
20200529 1
 
0.1%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1017
Missing (%)100.0%
Memory size9.1 KiB

소재지전화
Text

MISSING 

Distinct685
Distinct (%)96.8%
Missing309
Missing (%)30.4%
Memory size8.1 KiB
2023-12-11T02:58:11.127622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length14
Mean length10.185028
Min length7

Characters and Unicode

Total characters7211
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

Unique663 ?
Unique (%)93.6%

Sample

1st row256-3318
2nd row256-9966
3rd row421-7355
4th row424-0042
5th row600-5858
ValueCountFrequency (%)
986-4488 3
 
0.4%
053-754-7744 2
 
0.3%
053-953-3188 2
 
0.3%
327-1515 2
 
0.3%
257-5661 2
 
0.3%
053-644-6466 2
 
0.3%
053-746-3002 2
 
0.3%
641-0048 2
 
0.3%
383-9733 2
 
0.3%
053-351-8555 2
 
0.3%
Other values (675) 687
97.0%
2023-12-11T02:58:11.938299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1037
14.4%
5 1007
14.0%
0 894
12.4%
3 870
12.1%
6 572
7.9%
7 553
7.7%
2 509
7.1%
9 457
6.3%
8 445
6.2%
1 439
6.1%
Other values (5) 428
5.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6164
85.5%
Dash Punctuation 1037
 
14.4%
Other Punctuation 4
 
0.1%
Close Punctuation 4
 
0.1%
Open Punctuation 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 1007
16.3%
0 894
14.5%
3 870
14.1%
6 572
9.3%
7 553
9.0%
2 509
8.3%
9 457
7.4%
8 445
7.2%
1 439
7.1%
4 418
6.8%
Dash Punctuation
ValueCountFrequency (%)
- 1037
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7211
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1037
14.4%
5 1007
14.0%
0 894
12.4%
3 870
12.1%
6 572
7.9%
7 553
7.7%
2 509
7.1%
9 457
6.3%
8 445
6.2%
1 439
6.1%
Other values (5) 428
5.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7211
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1037
14.4%
5 1007
14.0%
0 894
12.4%
3 870
12.1%
6 572
7.9%
7 553
7.7%
2 509
7.1%
9 457
6.3%
8 445
6.2%
1 439
6.1%
Other values (5) 428
5.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1017
Missing (%)100.0%
Memory size9.1 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct265
Distinct (%)59.0%
Missing568
Missing (%)55.9%
Infinite0
Infinite (%)0.0%
Mean704181.86
Minimum700010
Maximum711874
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.1 KiB
2023-12-11T02:58:12.238385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum700010
5-th percentile700415.6
Q1701869
median704370
Q3705802
95-th percentile706934
Maximum711874
Range11864
Interquartile range (IQR)3933

Descriptive statistics

Standard deviation2543.2225
Coefficient of variation (CV)0.003611599
Kurtosis1.507888
Mean704181.86
Median Absolute Deviation (MAD)1538
Skewness0.88391112
Sum3.1617766 × 108
Variance6467980.7
MonotonicityNot monotonic
2023-12-11T02:58:12.916383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
704803 8
 
0.8%
706170 7
 
0.7%
700805 5
 
0.5%
705802 5
 
0.5%
704928 5
 
0.5%
704940 4
 
0.4%
704830 4
 
0.4%
703801 4
 
0.4%
704828 4
 
0.4%
704936 4
 
0.4%
Other values (255) 399
39.2%
(Missing) 568
55.9%
ValueCountFrequency (%)
700010 1
 
0.1%
700020 2
0.2%
700060 1
 
0.1%
700111 1
 
0.1%
700150 3
0.3%
700160 2
0.2%
700191 2
0.2%
700192 1
 
0.1%
700251 1
 
0.1%
700320 2
0.2%
ValueCountFrequency (%)
711874 3
0.3%
711865 1
 
0.1%
711861 1
 
0.1%
711852 2
0.2%
711842 1
 
0.1%
711835 1
 
0.1%
711832 2
0.2%
711831 3
0.3%
711815 2
0.2%
711813 1
 
0.1%

소재지전체주소
Text

MISSING 

Distinct955
Distinct (%)96.4%
Missing26
Missing (%)2.6%
Memory size8.1 KiB
2023-12-11T02:58:13.422407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length42
Mean length23.625631
Min length16

Characters and Unicode

Total characters23413
Distinct characters287
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique919 ?
Unique (%)92.7%

Sample

1st row대구광역시 중구 남산동 937-11번지
2nd row대구광역시 중구 남산동 2466-92번지
3rd row대구광역시 중구 삼덕동2가 210-1번지 지하1층
4th row대구광역시 중구 대봉동 710-6번지
5th row대구광역시 중구 대봉동 111-1번지 청운맨션 상가 12동
ValueCountFrequency (%)
대구광역시 991
 
21.8%
수성구 243
 
5.4%
달서구 195
 
4.3%
북구 167
 
3.7%
동구 139
 
3.1%
중구 78
 
1.7%
달성군 62
 
1.4%
남구 55
 
1.2%
범어동 52
 
1.1%
서구 52
 
1.1%
Other values (1306) 2502
55.2%
2023-12-11T02:58:14.425349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4501
19.2%
구 1940
 
8.3%
동 1156
 
4.9%
1 1095
 
4.7%
대 1073
 
4.6%
시 1017
 
4.3%
광 994
 
4.2%
역 993
 
4.2%
- 802
 
3.4%
지 710
 
3.0%
Other values (277) 9132
39.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13213
56.4%
Decimal Number 4776
 
20.4%
Space Separator 4501
 
19.2%
Dash Punctuation 802
 
3.4%
Uppercase Letter 32
 
0.1%
Other Punctuation 30
 
0.1%
Open Punctuation 27
 
0.1%
Close Punctuation 27
 
0.1%
Math Symbol 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1940
14.7%
동 1156
 
8.7%
대 1073
 
8.1%
시 1017
 
7.7%
광 994
 
7.5%
역 993
 
7.5%
지 710
 
5.4%
번 604
 
4.6%
성 413
 
3.1%
수 297
 
2.2%
Other values (242) 4016
30.4%
Uppercase Letter
ValueCountFrequency (%)
B 7
21.9%
M 4
12.5%
S 3
9.4%
T 2
 
6.2%
N 2
 
6.2%
H 2
 
6.2%
G 2
 
6.2%
K 1
 
3.1%
F 1
 
3.1%
D 1
 
3.1%
Other values (7) 7
21.9%
Decimal Number
ValueCountFrequency (%)
1 1095
22.9%
2 636
13.3%
3 527
11.0%
4 501
10.5%
5 379
 
7.9%
0 374
 
7.8%
6 355
 
7.4%
7 313
 
6.6%
9 298
 
6.2%
8 298
 
6.2%
Other Punctuation
ValueCountFrequency (%)
, 25
83.3%
. 4
 
13.3%
/ 1
 
3.3%
Space Separator
ValueCountFrequency (%)
4501
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 802
100.0%
Open Punctuation
ValueCountFrequency (%)
( 27
100.0%
Close Punctuation
ValueCountFrequency (%)
) 27
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13213
56.4%
Common 10168
43.4%
Latin 32
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1940
14.7%
동 1156
 
8.7%
대 1073
 
8.1%
시 1017
 
7.7%
광 994
 
7.5%
역 993
 
7.5%
지 710
 
5.4%
번 604
 
4.6%
성 413
 
3.1%
수 297
 
2.2%
Other values (242) 4016
30.4%
Common
ValueCountFrequency (%)
4501
44.3%
1 1095
 
10.8%
- 802
 
7.9%
2 636
 
6.3%
3 527
 
5.2%
4 501
 
4.9%
5 379
 
3.7%
0 374
 
3.7%
6 355
 
3.5%
7 313
 
3.1%
Other values (8) 685
 
6.7%
Latin
ValueCountFrequency (%)
B 7
21.9%
M 4
12.5%
S 3
9.4%
T 2
 
6.2%
N 2
 
6.2%
H 2
 
6.2%
G 2
 
6.2%
K 1
 
3.1%
F 1
 
3.1%
D 1
 
3.1%
Other values (7) 7
21.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13213
56.4%
ASCII 10200
43.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4501
44.1%
1 1095
 
10.7%
- 802
 
7.9%
2 636
 
6.2%
3 527
 
5.2%
4 501
 
4.9%
5 379
 
3.7%
0 374
 
3.7%
6 355
 
3.5%
7 313
 
3.1%
Other values (25) 717
 
7.0%
Hangul
ValueCountFrequency (%)
구 1940
14.7%
동 1156
 
8.7%
대 1073
 
8.1%
시 1017
 
7.7%
광 994
 
7.5%
역 993
 
7.5%
지 710
 
5.4%
번 604
 
4.6%
성 413
 
3.1%
수 297
 
2.2%
Other values (242) 4016
30.4%

도로명전체주소
Text

MISSING 

Distinct955
Distinct (%)97.8%
Missing41
Missing (%)4.0%
Memory size8.1 KiB
2023-12-11T02:58:15.091530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length71
Median length52
Mean length28.710041
Min length20

Characters and Unicode

Total characters28021
Distinct characters324
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique935 ?
Unique (%)95.8%

Sample

1st row대구광역시 중구 달구벌대로 2078 (남산동)
2nd row대구광역시 중구 남산로13길 9 (남산동)
3rd row대구광역시 중구 동덕로 115, 지하1층 (삼덕동2가)
4th row대구광역시 중구 명덕로 231 (대봉동)
5th row대구광역시 중구 동덕로 33, 12동 (대봉동, 청운맨션상가)
ValueCountFrequency (%)
대구광역시 976
 
17.0%
수성구 240
 
4.2%
달서구 218
 
3.8%
북구 165
 
2.9%
동구 133
 
2.3%
3층 100
 
1.7%
2층 100
 
1.7%
4층 85
 
1.5%
중구 60
 
1.0%
달구벌대로 57
 
1.0%
Other values (1287) 3605
62.8%
2023-12-11T02:58:16.057039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4934
 
17.6%
구 2064
 
7.4%
동 1314
 
4.7%
대 1259
 
4.5%
시 1011
 
3.6%
역 982
 
3.5%
로 980
 
3.5%
광 979
 
3.5%
) 941
 
3.4%
( 941
 
3.4%
Other values (314) 12616
45.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16089
57.4%
Space Separator 4934
 
17.6%
Decimal Number 4176
 
14.9%
Close Punctuation 941
 
3.4%
Open Punctuation 941
 
3.4%
Other Punctuation 797
 
2.8%
Dash Punctuation 95
 
0.3%
Uppercase Letter 40
 
0.1%
Math Symbol 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 2064
 
12.8%
동 1314
 
8.2%
대 1259
 
7.8%
시 1011
 
6.3%
역 982
 
6.1%
로 980
 
6.1%
광 979
 
6.1%
층 561
 
3.5%
성 465
 
2.9%
달 372
 
2.3%
Other values (278) 6102
37.9%
Uppercase Letter
ValueCountFrequency (%)
B 10
25.0%
M 5
12.5%
S 4
 
10.0%
A 3
 
7.5%
G 2
 
5.0%
T 2
 
5.0%
N 2
 
5.0%
H 2
 
5.0%
J 1
 
2.5%
K 1
 
2.5%
Other values (8) 8
20.0%
Decimal Number
ValueCountFrequency (%)
1 803
19.2%
2 683
16.4%
3 526
12.6%
4 431
10.3%
5 383
9.2%
0 382
9.1%
6 293
 
7.0%
7 237
 
5.7%
8 224
 
5.4%
9 214
 
5.1%
Other Punctuation
ValueCountFrequency (%)
, 794
99.6%
. 2
 
0.3%
/ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
4934
100.0%
Close Punctuation
ValueCountFrequency (%)
) 941
100.0%
Open Punctuation
ValueCountFrequency (%)
( 941
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 95
100.0%
Math Symbol
ValueCountFrequency (%)
~ 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16089
57.4%
Common 11892
42.4%
Latin 40
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 2064
 
12.8%
동 1314
 
8.2%
대 1259
 
7.8%
시 1011
 
6.3%
역 982
 
6.1%
로 980
 
6.1%
광 979
 
6.1%
층 561
 
3.5%
성 465
 
2.9%
달 372
 
2.3%
Other values (278) 6102
37.9%
Common
ValueCountFrequency (%)
4934
41.5%
) 941
 
7.9%
( 941
 
7.9%
1 803
 
6.8%
, 794
 
6.7%
2 683
 
5.7%
3 526
 
4.4%
4 431
 
3.6%
5 383
 
3.2%
0 382
 
3.2%
Other values (8) 1074
 
9.0%
Latin
ValueCountFrequency (%)
B 10
25.0%
M 5
12.5%
S 4
 
10.0%
A 3
 
7.5%
G 2
 
5.0%
T 2
 
5.0%
N 2
 
5.0%
H 2
 
5.0%
J 1
 
2.5%
K 1
 
2.5%
Other values (8) 8
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16089
57.4%
ASCII 11932
42.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4934
41.4%
) 941
 
7.9%
( 941
 
7.9%
1 803
 
6.7%
, 794
 
6.7%
2 683
 
5.7%
3 526
 
4.4%
4 431
 
3.6%
5 383
 
3.2%
0 382
 
3.2%
Other values (26) 1114
 
9.3%
Hangul
ValueCountFrequency (%)
구 2064
 
12.8%
동 1314
 
8.2%
대 1259
 
7.8%
시 1011
 
6.3%
역 982
 
6.1%
로 980
 
6.1%
광 979
 
6.1%
층 561
 
3.5%
성 465
 
2.9%
달 372
 
2.3%
Other values (278) 6102
37.9%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct420
Distinct (%)59.0%
Missing305
Missing (%)30.0%
Infinite0
Infinite (%)0.0%
Mean73610.837
Minimum41002
Maximum706916
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.1 KiB
2023-12-11T02:58:16.311541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41002
5-th percentile41089.75
Q141535
median42114
Q342643.5
95-th percentile43018
Maximum706916
Range665914
Interquartile range (IQR)1108.5

Descriptive statistics

Standard deviation141124.29
Coefficient of variation (CV)1.9171673
Kurtosis16.112951
Mean73610.837
Median Absolute Deviation (MAD)554
Skewness4.2505422
Sum52410916
Variance1.9916065 × 1010
MonotonicityNot monotonic
2023-12-11T02:58:16.576446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41423 15
 
1.5%
41560 10
 
1.0%
42274 9
 
0.9%
42197 7
 
0.7%
42620 6
 
0.6%
42117 6
 
0.6%
41026 6
 
0.6%
42918 6
 
0.6%
42612 6
 
0.6%
41584 5
 
0.5%
Other values (410) 636
62.5%
(Missing) 305
30.0%
ValueCountFrequency (%)
41002 1
 
0.1%
41003 1
 
0.1%
41005 1
 
0.1%
41026 6
0.6%
41027 1
 
0.1%
41034 3
0.3%
41036 2
 
0.2%
41044 1
 
0.1%
41048 1
 
0.1%
41051 1
 
0.1%
ValueCountFrequency (%)
706916 1
0.1%
706745 1
0.1%
706743 1
0.1%
705824 1
0.1%
705809 1
0.1%
704939 1
0.1%
704932 1
0.1%
704926 1
0.1%
704923 2
0.2%
704913 1
0.1%

사업장명
Text

Distinct943
Distinct (%)92.7%
Missing0
Missing (%)0.0%
Memory size8.1 KiB
2023-12-11T02:58:17.075914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length22
Mean length7.2654867
Min length2

Characters and Unicode

Total characters7389
Distinct characters493
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique884 ?
Unique (%)86.9%

Sample

1st row라이온헬스
2nd row황실헬스
3rd row진석스포츠클럽 헬스클럽
4th row재즈헬스피아체력단련장
5th row청운스포츠프라자
ValueCountFrequency (%)
휘트니스 48
 
3.3%
gym 38
 
2.6%
헬스 26
 
1.8%
피트니스 21
 
1.4%
트레이닝 12
 
0.8%
짐 12
 
0.8%
퍼스널트레이닝 10
 
0.7%
퍼스널 10
 
0.7%
클럽 7
 
0.5%
pt 7
 
0.5%
Other values (1073) 1280
87.0%
2023-12-11T02:58:17.762024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 784
 
10.6%
454
 
6.1%
헬 342
 
4.6%
트 272
 
3.7%
니 211
 
2.9%
이 166
 
2.2%
짐 149
 
2.0%
휘 133
 
1.8%
클 108
 
1.5%
럽 99
 
1.3%
Other values (483) 4671
63.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5829
78.9%
Uppercase Letter 615
 
8.3%
Space Separator 454
 
6.1%
Lowercase Letter 254
 
3.4%
Decimal Number 71
 
1.0%
Close Punctuation 59
 
0.8%
Open Punctuation 59
 
0.8%
Other Punctuation 39
 
0.5%
Dash Punctuation 7
 
0.1%
Connector Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 784
 
13.4%
헬 342
 
5.9%
트 272
 
4.7%
니 211
 
3.6%
이 166
 
2.8%
짐 149
 
2.6%
휘 133
 
2.3%
클 108
 
1.9%
럽 99
 
1.7%
피 91
 
1.6%
Other values (410) 3474
59.6%
Uppercase Letter
ValueCountFrequency (%)
M 77
12.5%
G 69
11.2%
T 69
11.2%
Y 66
 
10.7%
P 37
 
6.0%
E 32
 
5.2%
S 30
 
4.9%
I 24
 
3.9%
A 24
 
3.9%
F 22
 
3.6%
Other values (14) 165
26.8%
Lowercase Letter
ValueCountFrequency (%)
e 29
11.4%
o 24
 
9.4%
i 20
 
7.9%
s 19
 
7.5%
m 19
 
7.5%
y 19
 
7.5%
r 17
 
6.7%
n 16
 
6.3%
d 13
 
5.1%
l 13
 
5.1%
Other values (13) 65
25.6%
Decimal Number
ValueCountFrequency (%)
2 21
29.6%
4 16
22.5%
3 8
 
11.3%
9 6
 
8.5%
5 5
 
7.0%
1 5
 
7.0%
0 3
 
4.2%
6 3
 
4.2%
7 2
 
2.8%
8 2
 
2.8%
Other Punctuation
ValueCountFrequency (%)
. 14
35.9%
& 8
20.5%
' 7
17.9%
: 3
 
7.7%
＆ 2
 
5.1%
· 2
 
5.1%
# 2
 
5.1%
, 1
 
2.6%
Close Punctuation
ValueCountFrequency (%)
) 58
98.3%
] 1
 
1.7%
Open Punctuation
ValueCountFrequency (%)
( 58
98.3%
[ 1
 
1.7%
Space Separator
ValueCountFrequency (%)
454
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Other Symbol
ValueCountFrequency (%)
℃ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5829
78.9%
Latin 869
 
11.8%
Common 691
 
9.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 784
 
13.4%
헬 342
 
5.9%
트 272
 
4.7%
니 211
 
3.6%
이 166
 
2.8%
짐 149
 
2.6%
휘 133
 
2.3%
클 108
 
1.9%
럽 99
 
1.7%
피 91
 
1.6%
Other values (410) 3474
59.6%
Latin
ValueCountFrequency (%)
M 77
 
8.9%
G 69
 
7.9%
T 69
 
7.9%
Y 66
 
7.6%
P 37
 
4.3%
E 32
 
3.7%
S 30
 
3.5%
e 29
 
3.3%
I 24
 
2.8%
o 24
 
2.8%
Other values (37) 412
47.4%
Common
ValueCountFrequency (%)
454
65.7%
) 58
 
8.4%
( 58
 
8.4%
2 21
 
3.0%
4 16
 
2.3%
. 14
 
2.0%
& 8
 
1.2%
3 8
 
1.2%
' 7
 
1.0%
- 7
 
1.0%
Other values (16) 40
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5829
78.9%
ASCII 1555
 
21.0%
None 4
 
0.1%
Letterlike Symbols 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 784
 
13.4%
헬 342
 
5.9%
트 272
 
4.7%
니 211
 
3.6%
이 166
 
2.8%
짐 149
 
2.6%
휘 133
 
2.3%
클 108
 
1.9%
럽 99
 
1.7%
피 91
 
1.6%
Other values (410) 3474
59.6%
ASCII
ValueCountFrequency (%)
454
29.2%
M 77
 
5.0%
G 69
 
4.4%
T 69
 
4.4%
Y 66
 
4.2%
) 58
 
3.7%
( 58
 
3.7%
P 37
 
2.4%
E 32
 
2.1%
S 30
 
1.9%
Other values (60) 605
38.9%
None
ValueCountFrequency (%)
＆ 2
50.0%
· 2
50.0%
Letterlike Symbols
ValueCountFrequency (%)
℃ 1
100.0%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct1017
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0172078 × 1013
Minimum2.0030117 × 1013
Maximum2.0221031 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.1 KiB
2023-12-11T02:58:18.012745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0030117 × 1013
5-th percentile2.0051204 × 1013
Q12.015063 × 1013
median2.0190722 × 1013
Q32.0210729 × 1013
95-th percentile2.0220718 × 1013
Maximum2.0221031 × 1013
Range1.9091395 × 1011
Interquartile range (IQR)6.009901 × 1010

Descriptive statistics

Standard deviation5.1977334 × 1010
Coefficient of variation (CV)0.002576697
Kurtosis0.59905255
Mean2.0172078 × 1013
Median Absolute Deviation (MAD)2.0295989 × 1010
Skewness-1.2970684
Sum2.0515004 × 1016
Variance2.7016432 × 1021
MonotonicityNot monotonic
2023-12-11T02:58:18.279632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20190614103704 1
 
0.1%
20171127164357 1
 
0.1%
20171127154417 1
 
0.1%
20171127154706 1
 
0.1%
20200428112319 1
 
0.1%
20191015092026 1
 
0.1%
20190802093925 1
 
0.1%
20210907091821 1
 
0.1%
20171127113840 1
 
0.1%
20200502141646 1
 
0.1%
Other values (1007) 1007
99.0%
ValueCountFrequency (%)
20030117144353 1
0.1%
20030124155223 1
0.1%
20030130134049 1
0.1%
20030130135718 1
0.1%
20030203141825 1
0.1%
20030203165303 1
0.1%
20030414165251 1
0.1%
20030414174526 1
0.1%
20030515161858 1
0.1%
20030515165849 1
0.1%
ValueCountFrequency (%)
20221031094539 1
0.1%
20221028163527 1
0.1%
20221028115833 1
0.1%
20221028090329 1
0.1%
20221024154645 1
0.1%
20221014175103 1
0.1%
20221013163958 1
0.1%
20221013163832 1
0.1%
20221013161132 1
0.1%
20221012113909 1
0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.1 KiB
I
575 
U
442 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 575
56.5%
U 442
43.5%

Length

2023-12-11T02:58:18.536264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:58:18.694719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 575
56.5%
u 442
43.5%

데이터갱신일자
Date

Distinct410
Distinct (%)40.3%
Missing0
Missing (%)0.0%
Memory size8.1 KiB
Minimum2018-08-31 23:59:59
Maximum2022-11-02 00:22:24
2023-12-11T02:58:18.870614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:58:19.109038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1017
Missing (%)100.0%
Memory size9.1 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct854
Distinct (%)86.2%
Missing26
Missing (%)2.6%
Infinite0
Infinite (%)0.0%
Mean343549.47
Minimum328158.47
Maximum357908.12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.1 KiB
2023-12-11T02:58:19.304243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum328158.47
5-th percentile334928.86
Q1339628.79
median343934.55
Q3346885.11
95-th percentile354067.38
Maximum357908.12
Range29749.656
Interquartile range (IQR)7256.3202

Descriptive statistics

Standard deviation5438.9026
Coefficient of variation (CV)0.015831498
Kurtosis-0.13895397
Mean343549.47
Median Absolute Deviation (MAD)3836.4546
Skewness0.055037939
Sum3.4045753 × 108
Variance29581662
MonotonicityNot monotonic
2023-12-11T02:58:19.501381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
339459.676122 4
 
0.4%
348085.350928 4
 
0.4%
339438.40521 3
 
0.3%
343643.01963 3
 
0.3%
338706.883294 3
 
0.3%
341464.797754 3
 
0.3%
338740.173449 3
 
0.3%
336425.150882 3
 
0.3%
348108.884173 3
 
0.3%
346313.82894 3
 
0.3%
Other values (844) 959
94.3%
(Missing) 26
 
2.6%
ValueCountFrequency (%)
328158.467375 1
0.1%
328270.879602 1
0.1%
329347.962161 1
0.1%
330111.303556 1
0.1%
330290.0 1
0.1%
330310.686054 1
0.1%
330338.711441 1
0.1%
330672.657583 1
0.1%
330712.904909 1
0.1%
330796.571386 1
0.1%
ValueCountFrequency (%)
357908.12325 1
0.1%
356578.373419 1
0.1%
356425.755845 1
0.1%
356353.91544 2
0.2%
355866.655284 1
0.1%
355738.134502 1
0.1%
355737.129429 2
0.2%
355681.445461 1
0.1%
355655.102645 1
0.1%
355634.474549 1
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct854
Distinct (%)86.2%
Missing26
Missing (%)2.6%
Infinite0
Infinite (%)0.0%
Mean263377.73
Minimum240404.23
Maximum273814.36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.1 KiB
2023-12-11T02:58:19.669693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum240404.23
5-th percentile257620.83
Q1261316.19
median263265.04
Q3265374.02
95-th percentile271319.56
Maximum273814.36
Range33410.121
Interquartile range (IQR)4057.8315

Descriptive statistics

Standard deviation4145.2953
Coefficient of variation (CV)0.015738974
Kurtosis4.4937021
Mean263377.73
Median Absolute Deviation (MAD)1995.8846
Skewness-0.73268281
Sum2.6100733 × 108
Variance17183473
MonotonicityNot monotonic
2023-12-11T02:58:19.845273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
271655.049732 4
 
0.4%
269133.530897 4
 
0.4%
261653.002275 3
 
0.3%
266624.077299 3
 
0.3%
257347.594572 3
 
0.3%
261089.005763 3
 
0.3%
257596.654862 3
 
0.3%
257568.819678 3
 
0.3%
272394.002904 3
 
0.3%
267824.749165 3
 
0.3%
Other values (844) 959
94.3%
(Missing) 26
 
2.6%
ValueCountFrequency (%)
240404.234792 1
0.1%
240827.291848 1
0.1%
244475.0 1
0.1%
244658.0 2
0.2%
244671.0 1
0.1%
244716.148763 1
0.1%
244719.0 1
0.1%
244828.005203 1
0.1%
248636.739356 1
0.1%
248655.029585 1
0.1%
ValueCountFrequency (%)
273814.355431 1
0.1%
273506.093893 1
0.1%
272960.724753 1
0.1%
272706.306988 1
0.1%
272661.417304 1
0.1%
272651.408529 1
0.1%
272648.099805 1
0.1%
272636.919043 1
0.1%
272591.540588 1
0.1%
272588.065577 1
0.1%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size8.1 KiB
체력단련장업
1017 

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 1017
100.0%

Length

2023-12-11T02:58:20.037980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:58:20.161472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
체력단련장업 1017
100.0%

공사립구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size8.1 KiB
사립
1017 

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 1017
100.0%

Length

2023-12-11T02:58:20.276304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:58:20.400262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 1017
100.0%

보험가입여부코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.1 KiB
<NA>
830 
0
182 
Y
 
5

Length

Max length4
Median length4
Mean length3.4483776
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> 830
81.6%
0 182
 
17.9%
Y 5
 
0.5%

Length

2023-12-11T02:58:20.542356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:58:20.671140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 830
81.6%
0 182
 
17.9%
y 5
 
0.5%

지도자수
Categorical

Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size8.1 KiB
<NA>
440 
1
295 
2
146 
0
130 
3
 
5

Length

Max length4
Median length1
Mean length2.2989184
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row2
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 440
43.3%
1 295
29.0%
2 146
 
14.4%
0 130
 
12.8%
3 5
 
0.5%
30 1
 
0.1%

Length

2023-12-11T02:58:20.792607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:58:20.926646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 440
43.3%
1 295
29.0%
2 146
 
14.4%
0 130
 
12.8%
3 5
 
0.5%
30 1
 
0.1%

건축물동수
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size8.1 KiB
<NA>
723 
0
221 
1
 
69
3
 
2
106
 
1

Length

Max length4
Median length4
Mean length3.1366765
Min length1

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> 723
71.1%
0 221
 
21.7%
1 69
 
6.8%
3 2
 
0.2%
106 1
 
0.1%
113 1
 
0.1%

Length

2023-12-11T02:58:21.081745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:58:21.285713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 723
71.1%
0 221
 
21.7%
1 69
 
6.8%
3 2
 
0.2%
106 1
 
0.1%
113 1
 
0.1%

건축물연면적
Real number (ℝ)

MISSING  ZEROS 

Distinct270
Distinct (%)59.0%
Missing559
Missing (%)55.0%
Infinite0
Infinite (%)0.0%
Mean2491.2899
Minimum0
Maximum86957.24
Zeros179
Zeros (%)17.6%
Negative0
Negative (%)0.0%
Memory size9.1 KiB
2023-12-11T02:58:21.438310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median290.69
Q31934.585
95-th percentile8047.912
Maximum86957.24
Range86957.24
Interquartile range (IQR)1934.585

Descriptive statistics

Standard deviation8569.4136
Coefficient of variation (CV)3.4397496
Kurtosis70.388229
Mean2491.2899
Median Absolute Deviation (MAD)290.69
Skewness7.9156745
Sum1141010.8
Variance73434850
MonotonicityNot monotonic
2023-12-11T02:58:21.590656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 179
 
17.6%
225.0 2
 
0.2%
6418.38 2
 
0.2%
3142.8 2
 
0.2%
7930.82 2
 
0.2%
1159.84 2
 
0.2%
947.64 2
 
0.2%
863.61 2
 
0.2%
6333.85 2
 
0.2%
6131.98 2
 
0.2%
Other values (260) 261
25.7%
(Missing) 559
55.0%
ValueCountFrequency (%)
0.0 179
17.6%
99.0 1
 
0.1%
102.7 1
 
0.1%
104.3 1
 
0.1%
104.71 1
 
0.1%
107.14 1
 
0.1%
108.23 1
 
0.1%
122.58 1
 
0.1%
128.0 1
 
0.1%
130.0 1
 
0.1%
ValueCountFrequency (%)
86957.24 1
0.1%
86957.0 1
0.1%
84237.83 1
0.1%
74943.96 1
0.1%
45167.34 1
0.1%
29931.42 1
0.1%
23284.28 1
0.1%
22199.95 1
0.1%
20704.07 1
0.1%
18452.0 1
0.1%

회원모집총인원
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size8.1 KiB
<NA>
789 
0
225 
150
 
2
800
 
1

Length

Max length4
Median length4
Mean length3.3333333
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> 789
77.6%
0 225
 
22.1%
150 2
 
0.2%
800 1
 
0.1%

Length

2023-12-11T02:58:21.728514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:58:21.840319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 789
77.6%
0 225
 
22.1%
150 2
 
0.2%
800 1
 
0.1%

세부업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1017
Missing (%)100.0%
Memory size9.1 KiB

법인명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1017
Missing (%)100.0%
Memory size9.1 KiB

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
01체력단련장업10_42_01_P3410000CDFH330106199600000219960916<NA>3폐업34영업장폐쇄20190603<NA><NA><NA>256-3318<NA>700440대구광역시 중구 남산동 937-11번지대구광역시 중구 달구벌대로 2078 (남산동)41966라이온헬스20190614103704U2019-06-16 02:40:00.0<NA>343617.423503263991.522262체력단련장업사립<NA><NA><NA>1450.62<NA><NA><NA>
12체력단련장업10_42_01_P3410000CDFH330106199900000119990312<NA>3폐업34영업장폐쇄20190603<NA><NA><NA>256-9966<NA>700805대구광역시 중구 남산동 2466-92번지대구광역시 중구 남산로13길 9 (남산동)41978황실헬스20190614103846U2019-06-16 02:40:00.0<NA>342807.803776263521.781179체력단련장업사립<NA><NA><NA>12171.21<NA><NA><NA>
23체력단련장업10_42_01_P3410000CDFH330106201100000320111010<NA>3폐업34영업장폐쇄20190304<NA><NA><NA><NA><NA>700719대구광역시 중구 삼덕동2가 210-1번지 지하1층대구광역시 중구 동덕로 115, 지하1층 (삼덕동2가)41940진석스포츠클럽 헬스클럽20190319174154U2019-03-21 02:40:00.0<NA>344686.259338263958.880864체력단련장업사립<NA>2<NA>45167.34<NA><NA><NA>
34체력단련장업10_42_01_P3410000CDFH330106199700000119970325<NA>4취소/말소/만료/정지/중지35직권말소20140407<NA><NA><NA>421-7355<NA>700813대구광역시 중구 대봉동 710-6번지대구광역시 중구 명덕로 231 (대봉동)700430재즈헬스피아체력단련장20140407094131I2018-08-31 23:59:59.0<NA>344058.185837263009.647373체력단련장업사립<NA><NA><NA>231.6<NA><NA><NA>
45체력단련장업10_42_01_P3410000CDFH330106200200000720020220<NA>4취소/말소/만료/정지/중지35직권말소20140321<NA><NA><NA>424-0042<NA>700811대구광역시 중구 대봉동 111-1번지 청운맨션 상가 12동대구광역시 중구 동덕로 33, 12동 (대봉동, 청운맨션상가)700761청운스포츠프라자20140321090900I2018-08-31 23:59:59.0<NA>344781.041867263166.287036체력단련장업사립<NA><NA><NA><NA><NA><NA><NA>
56체력단련장업10_42_01_P3410000CDFH330106200200001020020716<NA>4취소/말소/만료/정지/중지35직권말소20090421<NA><NA><NA>600-5858<NA>700733대구광역시 중구 문화동 11-1번지 밀리오레 22층,23층<NA><NA>밀리오레휘트니스20091127181300I2018-08-31 23:59:59.0<NA>344223.636477264597.611089체력단련장업사립<NA><NA><NA>342.6<NA><NA><NA>
67체력단련장업10_42_01_P3410000CDFH330106200200001120020930<NA>4취소/말소/만료/정지/중지35직권말소20140204<NA><NA><NA>422-0502<NA>700805대구광역시 중구 남산동 2449-3번지<NA><NA>SN헬스재즈댄스20140204155233I2018-08-31 23:59:59.0<NA><NA><NA>체력단련장업사립<NA><NA><NA>230.0<NA><NA><NA>
78체력단련장업10_42_01_P3410000CDFH330106200400000520041214<NA>4취소/말소/만료/정지/중지35직권말소20140404<NA><NA><NA>384-7319<NA>700150대구광역시 중구 공평동 16-8번지대구광역시 중구 동성로3길 99 (공평동)7001503d lady club20140404182930I2018-08-31 23:59:59.0<NA>344273.598095264467.615273체력단련장업사립<NA><NA><NA>2200.17<NA><NA><NA>
89체력단련장업10_42_01_P3410000CDFH330106200400000620041231<NA>4취소/말소/만료/정지/중지35직권말소20150223<NA><NA><NA>252-1798<NA>700320대구광역시 중구 대신동 115-5번지대구광역시 중구 국채보상로 458 (대신동)700320대신스포맥스20150223181111I2018-08-31 23:59:59.0<NA>342714.834681264487.841783체력단련장업사립<NA><NA><NA>6131.98<NA><NA><NA>
910체력단련장업10_42_01_P3410000CDFH330106201400000420141224<NA>4취소/말소/만료/정지/중지35직권말소20200204<NA><NA><NA>427-9688<NA>700822대구광역시 중구 봉산동 29-1번지 3층대구광역시 중구 동성로1길 60, 3층 (봉산동)41943스타피티20200204112311U2020-02-06 02:40:00.0<NA>344119.340391263996.591284체력단련장업사립<NA>1<NA>623.05<NA><NA><NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
10071008체력단련장업10_42_01_P3480000CDFH330106201400000120140210<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>711815대구광역시 달성군 다사읍 죽곡리 807-3대구광역시 달성군 다사읍 달구벌대로 87442918고짐(GO GYM) 다사 대실역점20221012105814U2022-10-14 02:40:00.0<NA>332226.263646262968.382653체력단련장업사립<NA>3<NA><NA><NA><NA><NA>
10081009체력단련장업10_42_01_P3480000CDFH330106201400000220140410<NA>1영업/정상13영업중<NA><NA><NA><NA>053-611-5959<NA><NA>대구광역시 달성군 구지면 응암리 1195-3번지대구광역시 달성군 구지면 과학마을로5길 3543008A.GYM20200317212338U2020-03-19 02:40:00.0<NA>328158.467375240827.291848체력단련장업사립<NA>1<NA>1247.92<NA><NA><NA>
10091010체력단련장업10_42_01_P3480000CDFH330106200700000120070607<NA>1영업/정상13영업중<NA><NA><NA><NA>053-614-0255<NA><NA>대구광역시 달성군 논공읍 북리 803-210 2층대구광역시 달성군 논공읍 논공로5길 229, 2층42979나우 휘트니스 클럽20210112145317U2021-01-14 02:40:00.0<NA>330796.571386248892.6406체력단련장업사립<NA><NA>1180.6<NA><NA><NA>
10101011체력단련장업10_42_01_P3480000CDFH330106200800000120080117<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 현풍읍 중리 291-1대구광역시 달성군 현풍읍 현풍중앙로14길 7142996장수휘트니스클럽20200721163436U2020-07-23 02:40:00.0<NA>330948.699267244828.005203체력단련장업사립<NA><NA>11921.91<NA><NA><NA>
10111012체력단련장업10_42_01_P3480000CDFH330106200800000220080204<NA>1영업/정상13영업중<NA><NA><NA><NA>053-634-9256<NA><NA>대구광역시 달성군 화원읍 본리리 44번지대구광역시 달성군 화원읍 비슬로530길 29-1542964그린월드20200323181751U2020-03-25 02:40:00.0<NA>336144.089753257162.22972체력단련장업사립<NA>213133.84<NA><NA><NA>
10121013체력단련장업10_42_01_P3480000CDFH330106202200000220220705<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 다사읍 서재리 139-1대구광역시 달성군 다사읍 서재로 144, 나동 2층42925패러다임짐20220705115002I2022-07-07 00:22:30.0<NA>335186.778586265044.867747체력단련장업사립<NA>00624.960<NA><NA>
10131014체력단련장업10_42_01_P3480000CDFH330106202000000520201204<NA>1영업/정상13영업중<NA><NA><NA><NA>053-583-2749<NA><NA>대구광역시 달성군 다사읍 매곡리 1546-8 진광타워 5층대구광역시 달성군 다사읍 달구벌대로 863, 진광타워 5층42914바디채널 대실점20220427105614U2022-04-29 02:40:00.0<NA>332237.177954263095.169477체력단련장업사립<NA>2<NA><NA><NA><NA><NA>
10141015체력단련장업10_42_01_P3480000CDFH330106202000000620201229<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 유가읍 봉리 617-2 유가타워 404호대구광역시 달성군 유가읍 테크노상업로4길 17-9, 유가타워 4층 404호43018헬스위드짐20201229145601I2020-12-31 00:23:05.0<NA><NA><NA>체력단련장업사립<NA>1<NA><NA><NA><NA><NA>
10151016체력단련장업10_42_01_P3480000CDFH330106202100000220210205<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 유가읍 봉리 606 하이젠스타대구광역시 달성군 유가읍 테크노중앙대로 254, 하이젠스타 2층층 203호43018SNPE 바른자세 척추운동20211005115639U2021-10-07 02:40:00.0<NA>331906.0244658.0체력단련장업사립<NA>000.00<NA><NA>
10161017체력단련장업10_42_01_P3480000CDFH330106202100000420210408<NA>3폐업3폐업20220824<NA><NA><NA><NA><NA><NA>대구광역시 달성군 다사읍 죽곡리 산 55대구광역시 달성군 다사읍 달구벌대로174길 24, 2,3층42918임팩트 다사점20220824100810U2022-08-26 02:40:00.0<NA>331980.566557263030.922324체력단련장업사립<NA>00482.00<NA><NA>