Overview

Dataset statistics

Number of variables38
Number of observations1313
Missing cells14431
Missing cells (%)28.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory420.7 KiB
Average record size in memory328.1 B

Variable types

Numeric12
Categorical13
Text5
Unsupported7
DateTime1

Dataset

Description2021-01-04
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 (54.5%)Imbalance
인허가취소일자 has 1313 (100.0%) missing valuesMissing
폐업일자 has 772 (58.8%) missing valuesMissing
재개업일자 has 1313 (100.0%) missing valuesMissing
소재지전화 has 301 (22.9%) missing valuesMissing
소재지면적 has 1313 (100.0%) missing valuesMissing
소재지우편번호 has 538 (41.0%) missing valuesMissing
소재지전체주소 has 27 (2.1%) missing valuesMissing
도로명전체주소 has 35 (2.7%) missing valuesMissing
도로명우편번호 has 492 (37.5%) missing valuesMissing
업태구분명 has 1313 (100.0%) missing valuesMissing
좌표정보(x) has 17 (1.3%) missing valuesMissing
좌표정보(y) has 17 (1.3%) missing valuesMissing
건축물동수 has 1124 (85.6%) missing valuesMissing
건축물연면적 has 613 (46.7%) missing valuesMissing
회원모집총인원 has 1304 (99.3%) missing valuesMissing
세부업종명 has 1313 (100.0%) missing valuesMissing
법인명 has 1313 (100.0%) missing valuesMissing
Unnamed: 37 has 1313 (100.0%) missing valuesMissing
인허가일자 is highly skewed (γ1 = -31.84629859)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 04:12:02.181476
Analysis finished2024-04-17 04:12:03.018388
Duration0.84 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct1313
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean657
Minimum1
Maximum1313
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.7 KiB
2024-04-17T13:12:03.075044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile66.6
Q1329
median657
Q3985
95-th percentile1247.4
Maximum1313
Range1312
Interquartile range (IQR)656

Descriptive statistics

Standard deviation379.17476
Coefficient of variation (CV)0.57713054
Kurtosis-1.2
Mean657
Median Absolute Deviation (MAD)328
Skewness0
Sum862641
Variance143773.5
MonotonicityStrictly increasing
2024-04-17T13:12:03.187931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
883 1
 
0.1%
881 1
 
0.1%
880 1
 
0.1%
879 1
 
0.1%
878 1
 
0.1%
877 1
 
0.1%
876 1
 
0.1%
875 1
 
0.1%
874 1
 
0.1%
Other values (1303) 1303
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 (%)
1313 1
0.1%
1312 1
0.1%
1311 1
0.1%
1310 1
0.1%
1309 1
0.1%
1308 1
0.1%
1307 1
0.1%
1306 1
0.1%
1305 1
0.1%
1304 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.4 KiB
체력단련장업
1313 

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 1313
100.0%

Length

2024-04-17T13:12:03.291609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T13:12:03.379009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
체력단련장업 1313
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.4 KiB
10_42_01_P
1313 

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 1313
100.0%

Length

2024-04-17T13:12:03.456150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T13:12:03.528959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10_42_01_p 1313
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3325841.6
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.7 KiB
2024-04-17T13:12:03.596218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3250000
5-th percentile3260000
Q13290000
median3330000
Q33350000
95-th percentile3390000
Maximum3400000
Range150000
Interquartile range (IQR)60000

Descriptive statistics

Standard deviation38525.56
Coefficient of variation (CV)0.011583703
Kurtosis-0.76767636
Mean3325841.6
Median Absolute Deviation (MAD)30000
Skewness0.073817556
Sum4.36683 × 109
Variance1.4842188 × 109
MonotonicityNot monotonic
2024-04-17T13:12:03.688387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3290000 182
13.9%
3330000 162
12.3%
3340000 117
8.9%
3300000 114
8.7%
3310000 113
8.6%
3350000 94
7.2%
3370000 83
 
6.3%
3390000 82
 
6.2%
3320000 80
 
6.1%
3380000 71
 
5.4%
Other values (6) 215
16.4%
ValueCountFrequency (%)
3250000 46
 
3.5%
3260000 39
 
3.0%
3270000 35
 
2.7%
3280000 27
 
2.1%
3290000 182
13.9%
3300000 114
8.7%
3310000 113
8.6%
3320000 80
6.1%
3330000 162
12.3%
3340000 117
8.9%
ValueCountFrequency (%)
3400000 32
 
2.4%
3390000 82
6.2%
3380000 71
5.4%
3370000 83
6.3%
3360000 36
 
2.7%
3350000 94
7.2%
3340000 117
8.9%
3330000 162
12.3%
3320000 80
6.1%
3310000 113
8.6%

관리번호
Text

Distinct316
Distinct (%)24.1%
Missing0
Missing (%)0.0%
Memory size10.4 KiB
2024-04-17T13:12:03.851036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters26260
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique104 ?
Unique (%)7.9%

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 (306) 1168
89.0%
2024-04-17T13:12:04.117691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 10934
41.6%
3 3038
 
11.6%
1 2484
 
9.5%
2 1626
 
6.2%
6 1515
 
5.8%
C 1313
 
5.0%
D 1313
 
5.0%
F 1313
 
5.0%
H 1313
 
5.0%
9 534
 
2.0%
Other values (4) 877
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 21008
80.0%
Uppercase Letter 5252
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 10934
52.0%
3 3038
 
14.5%
1 2484
 
11.8%
2 1626
 
7.7%
6 1515
 
7.2%
9 534
 
2.5%
4 284
 
1.4%
5 248
 
1.2%
8 176
 
0.8%
7 169
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
C 1313
25.0%
D 1313
25.0%
F 1313
25.0%
H 1313
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 21008
80.0%
Latin 5252
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 10934
52.0%
3 3038
 
14.5%
1 2484
 
11.8%
2 1626
 
7.7%
6 1515
 
7.2%
9 534
 
2.5%
4 284
 
1.4%
5 248
 
1.2%
8 176
 
0.8%
7 169
 
0.8%
Latin
ValueCountFrequency (%)
C 1313
25.0%
D 1313
25.0%
F 1313
25.0%
H 1313
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 26260
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10934
41.6%
3 3038
 
11.6%
1 2484
 
9.5%
2 1626
 
6.2%
6 1515
 
5.8%
C 1313
 
5.0%
D 1313
 
5.0%
F 1313
 
5.0%
H 1313
 
5.0%
9 534
 
2.0%
Other values (4) 877
 
3.3%

인허가일자
Real number (ℝ)

SKEWED 

Distinct1117
Distinct (%)85.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20077881
Minimum10001126
Maximum20201231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.7 KiB
2024-04-17T13:12:04.239063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10001126
5-th percentile19960211
Q120030104
median20080212
Q320161006
95-th percentile20200418
Maximum20201231
Range10200105
Interquartile range (IQR)130902

Descriptive statistics

Standard deviation290540.81
Coefficient of variation (CV)0.014470691
Kurtosis1104.9227
Mean20077881
Median Absolute Deviation (MAD)70012
Skewness-31.846299
Sum2.6362258 × 1010
Variance8.4413963 × 1010
MonotonicityNot monotonic
2024-04-17T13:12:04.349105image/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%
20030416 3
 
0.2%
20191212 3
 
0.2%
20141124 3
 
0.2%
20020509 3
 
0.2%
20030111 3
 
0.2%
20200709 3
 
0.2%
20190213 3
 
0.2%
Other values (1107) 1226
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 (%)
20201231 1
0.1%
20201228 1
0.1%
20201216 1
0.1%
20201214 1
0.1%
20201211 1
0.1%
20201210 2
0.2%
20201209 1
0.1%
20201208 1
0.1%
20201203 1
0.1%
20201125 1
0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1313
Missing (%)100.0%
Memory size11.7 KiB

영업상태구분코드
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size10.4 KiB
1
755 
3
452 
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 (%)
1 755
57.5%
3 452
34.4%
4 104
 
7.9%
2 2
 
0.2%

Length

2024-04-17T13:12:04.460437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T13:12:04.540739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 755
57.5%
3 452
34.4%
4 104
 
7.9%
2 2
 
0.2%

영업상태명
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size10.4 KiB
영업/정상
755 
폐업
452 
취소/말소/만료/정지/중지
104 
휴업
 
2

Length

Max length14
Median length5
Mean length4.6755522
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 755
57.5%
폐업 452
34.4%
취소/말소/만료/정지/중지 104
 
7.9%
휴업 2
 
0.2%

Length

2024-04-17T13:12:04.630907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T13:12:04.718051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 755
57.5%
폐업 452
34.4%
취소/말소/만료/정지/중지 104
 
7.9%
휴업 2
 
0.2%

상세영업상태코드
Categorical

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size10.4 KiB
13
755 
3
451 
35
104 
2
 
2
34
 
1

Length

Max length2
Median length2
Mean length1.6549886
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
13 755
57.5%
3 451
34.3%
35 104
 
7.9%
2 2
 
0.2%
34 1
 
0.1%

Length

2024-04-17T13:12:04.805810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T13:12:04.885175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 755
57.5%
3 451
34.3%
35 104
 
7.9%
2 2
 
0.2%
34 1
 
0.1%

상세영업상태명
Categorical

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size10.4 KiB
영업중
755 
폐업
451 
직권말소
104 
휴업
 
2
영업장폐쇄
 
1

Length

Max length5
Median length3
Mean length2.7357197
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 755
57.5%
폐업 451
34.3%
직권말소 104
 
7.9%
휴업 2
 
0.2%
영업장폐쇄 1
 
0.1%

Length

2024-04-17T13:12:04.975975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T13:12:05.066832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 755
57.5%
폐업 451
34.3%
직권말소 104
 
7.9%
휴업 2
 
0.2%
영업장폐쇄 1
 
0.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct401
Distinct (%)74.1%
Missing772
Missing (%)58.8%
Infinite0
Infinite (%)0.0%
Mean20115146
Minimum19980211
Maximum20201211
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.7 KiB
2024-04-17T13:12:05.168562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19980211
5-th percentile20030418
Q120060720
median20110905
Q320180302
95-th percentile20191224
Maximum20201211
Range221000
Interquartile range (IQR)119582

Descriptive statistics

Standard deviation60059.402
Coefficient of variation (CV)0.0029857801
Kurtosis-1.320997
Mean20115146
Median Absolute Deviation (MAD)59692
Skewness-0.1227608
Sum1.0882294 × 1010
Variance3.6071318 × 109
MonotonicityNot monotonic
2024-04-17T13:12:05.285327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20180302 27
 
2.1%
20181204 11
 
0.8%
20040504 10
 
0.8%
20190409 9
 
0.7%
20190416 8
 
0.6%
20070801 6
 
0.5%
20140411 6
 
0.5%
20131127 5
 
0.4%
20070111 5
 
0.4%
20030419 4
 
0.3%
Other values (391) 450
34.3%
(Missing) 772
58.8%
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 (%)
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%
20200618 1
 
0.1%

휴업시작일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size10.4 KiB
<NA>
1311 
20070801
 
1
20030108
 
1

Length

Max length8
Median length4
Mean length4.0060929
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> 1311
99.8%
20070801 1
 
0.1%
20030108 1
 
0.1%

Length

2024-04-17T13:12:05.391694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T13:12:05.477143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1311
99.8%
20070801 1
 
0.1%
20030108 1
 
0.1%

휴업종료일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size10.4 KiB
<NA>
1311 
20421031
 
1
20031231
 
1

Length

Max length8
Median length4
Mean length4.0060929
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> 1311
99.8%
20421031 1
 
0.1%
20031231 1
 
0.1%

Length

2024-04-17T13:12:05.571563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T13:12:05.679735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1311
99.8%
20421031 1
 
0.1%
20031231 1
 
0.1%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1313
Missing (%)100.0%
Memory size11.7 KiB

소재지전화
Text

MISSING 

Distinct988
Distinct (%)97.6%
Missing301
Missing (%)22.9%
Memory size10.4 KiB
2024-04-17T13:12:05.870463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12
Mean length10.110672
Min length4

Characters and Unicode

Total characters10232
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

Unique964 ?
Unique (%)95.3%

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%
051-753-0097 2
 
0.2%
051-905-0444 2
 
0.2%
361-9400 2
 
0.2%
051-507-9770 2
 
0.2%
627-5056 2
 
0.2%
817-5056 2
 
0.2%
611-7000 2
 
0.2%
203 2
 
0.2%
051-703-3230 2
 
0.2%
Other values (984) 1000
97.7%
2024-04-17T13:12:06.189022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1497
14.6%
0 1377
13.5%
5 1324
12.9%
1 1273
12.4%
2 836
8.2%
7 746
7.3%
8 708
6.9%
3 702
6.9%
6 663
6.5%
4 607
5.9%
Other values (5) 499
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8705
85.1%
Dash Punctuation 1497
 
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 1377
15.8%
5 1324
15.2%
1 1273
14.6%
2 836
9.6%
7 746
8.6%
8 708
8.1%
3 702
8.1%
6 663
7.6%
4 607
7.0%
9 469
 
5.4%
Dash Punctuation
ValueCountFrequency (%)
- 1497
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 10232
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1497
14.6%
0 1377
13.5%
5 1324
12.9%
1 1273
12.4%
2 836
8.2%
7 746
7.3%
8 708
6.9%
3 702
6.9%
6 663
6.5%
4 607
5.9%
Other values (5) 499
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10232
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1497
14.6%
0 1377
13.5%
5 1324
12.9%
1 1273
12.4%
2 836
8.2%
7 746
7.3%
8 708
6.9%
3 702
6.9%
6 663
6.5%
4 607
5.9%
Other values (5) 499
 
4.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1313
Missing (%)100.0%
Memory size11.7 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct420
Distinct (%)54.2%
Missing538
Missing (%)41.0%
Infinite0
Infinite (%)0.0%
Mean610528.77
Minimum600016
Maximum619963
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.7 KiB
2024-04-17T13:12:06.549696image/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
2024-04-17T13:12:06.675371image/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
53.5%
(Missing) 538
41.0%
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 

Distinct1244
Distinct (%)96.7%
Missing27
Missing (%)2.1%
Memory size10.4 KiB
2024-04-17T13:12:06.913996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length47
Mean length24.451011
Min length13

Characters and Unicode

Total characters31444
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

Unique1203 ?
Unique (%)93.5%

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 1286
 
21.3%
부산진구 182
 
3.0%
해운대구 160
 
2.7%
동래구 114
 
1.9%
사하구 107
 
1.8%
남구 106
 
1.8%
금정구 94
 
1.6%
사상구 82
 
1.4%
연제구 82
 
1.4%
북구 79
 
1.3%
Other values (1759) 3733
62.0%
2024-04-17T13:12:07.329328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4742
 
15.1%
부 1592
 
5.1%
산 1566
 
5.0%
동 1502
 
4.8%
1 1335
 
4.2%
광 1329
 
4.2%
시 1307
 
4.2%
구 1294
 
4.1%
역 1287
 
4.1%
지 1191
 
3.8%
Other values (336) 14299
45.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18882
60.0%
Decimal Number 6454
 
20.5%
Space Separator 4742
 
15.1%
Dash Punctuation 1148
 
3.7%
Uppercase Letter 97
 
0.3%
Other Punctuation 64
 
0.2%
Close Punctuation 23
 
0.1%
Open Punctuation 23
 
0.1%
Lowercase Letter 6
 
< 0.1%
Math Symbol 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 1592
 
8.4%
산 1566
 
8.3%
동 1502
 
8.0%
광 1329
 
7.0%
시 1307
 
6.9%
구 1294
 
6.9%
역 1287
 
6.8%
지 1191
 
6.3%
번 1110
 
5.9%
층 301
 
1.6%
Other values (288) 6403
33.9%
Uppercase Letter
ValueCountFrequency (%)
B 19
19.6%
A 10
 
10.3%
S 9
 
9.3%
C 6
 
6.2%
K 6
 
6.2%
N 5
 
5.2%
L 5
 
5.2%
T 4
 
4.1%
E 4
 
4.1%
I 4
 
4.1%
Other values (11) 25
25.8%
Decimal Number
ValueCountFrequency (%)
1 1335
20.7%
2 884
13.7%
3 778
12.1%
4 678
10.5%
5 567
8.8%
7 477
 
7.4%
0 475
 
7.4%
6 459
 
7.1%
8 436
 
6.8%
9 365
 
5.7%
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%
s 1
16.7%
g 1
16.7%
k 1
16.7%
b 1
16.7%
Space Separator
ValueCountFrequency (%)
4742
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1148
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18881
60.0%
Common 12459
39.6%
Latin 103
 
0.3%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 1592
 
8.4%
산 1566
 
8.3%
동 1502
 
8.0%
광 1329
 
7.0%
시 1307
 
6.9%
구 1294
 
6.9%
역 1287
 
6.8%
지 1191
 
6.3%
번 1110
 
5.9%
층 301
 
1.6%
Other values (287) 6402
33.9%
Latin
ValueCountFrequency (%)
B 19
18.4%
A 10
 
9.7%
S 9
 
8.7%
C 6
 
5.8%
K 6
 
5.8%
N 5
 
4.9%
L 5
 
4.9%
T 4
 
3.9%
E 4
 
3.9%
I 4
 
3.9%
Other values (16) 31
30.1%
Common
ValueCountFrequency (%)
4742
38.1%
1 1335
 
10.7%
- 1148
 
9.2%
2 884
 
7.1%
3 778
 
6.2%
4 678
 
5.4%
5 567
 
4.6%
7 477
 
3.8%
0 475
 
3.8%
6 459
 
3.7%
Other values (12) 916
 
7.4%
Han
ValueCountFrequency (%)
盧 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18881
60.0%
ASCII 12561
39.9%
None 1
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4742
37.8%
1 1335
 
10.6%
- 1148
 
9.1%
2 884
 
7.0%
3 778
 
6.2%
4 678
 
5.4%
5 567
 
4.5%
7 477
 
3.8%
0 475
 
3.8%
6 459
 
3.7%
Other values (37) 1018
 
8.1%
Hangul
ValueCountFrequency (%)
부 1592
 
8.4%
산 1566
 
8.3%
동 1502
 
8.0%
광 1329
 
7.0%
시 1307
 
6.9%
구 1294
 
6.9%
역 1287
 
6.8%
지 1191
 
6.3%
번 1110
 
5.9%
층 301
 
1.6%
Other values (287) 6402
33.9%
None
ValueCountFrequency (%)
？ 1
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
盧 1
100.0%

도로명전체주소
Text

MISSING 

Distinct1265
Distinct (%)99.0%
Missing35
Missing (%)2.7%
Memory size10.4 KiB
2024-04-17T13:12:07.662904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length49
Mean length30.689358
Min length17

Characters and Unicode

Total characters39221
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

Unique1252 ?
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 1278
 
16.9%
부산진구 181
 
2.4%
해운대구 159
 
2.1%
사하구 114
 
1.5%
동래구 113
 
1.5%
남구 111
 
1.5%
3층 110
 
1.5%
금정구 93
 
1.2%
2층 83
 
1.1%
연제구 81
 
1.1%
Other values (1840) 5249
69.3%
2024-04-17T13:12:08.226901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6663
 
17.0%
동 1631
 
4.2%
부 1598
 
4.1%
산 1592
 
4.1%
시 1370
 
3.5%
광 1368
 
3.5%
구 1310
 
3.3%
역 1279
 
3.3%
로 1271
 
3.2%
( 1260
 
3.2%
Other values (390) 19879
50.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 22940
58.5%
Space Separator 6663
 
17.0%
Decimal Number 5749
 
14.7%
Open Punctuation 1261
 
3.2%
Close Punctuation 1261
 
3.2%
Other Punctuation 1071
 
2.7%
Dash Punctuation 137
 
0.3%
Uppercase Letter 127
 
0.3%
Math Symbol 7
 
< 0.1%
Lowercase Letter 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1631
 
7.1%
부 1598
 
7.0%
산 1592
 
6.9%
시 1370
 
6.0%
광 1368
 
6.0%
구 1310
 
5.7%
역 1279
 
5.6%
로 1271
 
5.5%
대 662
 
2.9%
층 608
 
2.7%
Other values (337) 10251
44.7%
Uppercase Letter
ValueCountFrequency (%)
B 35
27.6%
S 13
 
10.2%
A 11
 
8.7%
K 8
 
6.3%
C 6
 
4.7%
L 6
 
4.7%
Y 5
 
3.9%
H 5
 
3.9%
N 5
 
3.9%
E 4
 
3.1%
Other values (13) 29
22.8%
Decimal Number
ValueCountFrequency (%)
1 1172
20.4%
2 909
15.8%
3 741
12.9%
4 564
9.8%
0 560
9.7%
5 449
 
7.8%
6 410
 
7.1%
8 338
 
5.9%
7 326
 
5.7%
9 280
 
4.9%
Other Punctuation
ValueCountFrequency (%)
, 1047
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%
Open Punctuation
ValueCountFrequency (%)
( 1260
99.9%
[ 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 1260
99.9%
] 1
 
0.1%
Space Separator
ValueCountFrequency (%)
6663
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 137
100.0%
Math Symbol
ValueCountFrequency (%)
~ 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 22939
58.5%
Common 16149
41.2%
Latin 132
 
0.3%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1631
 
7.1%
부 1598
 
7.0%
산 1592
 
6.9%
시 1370
 
6.0%
광 1368
 
6.0%
구 1310
 
5.7%
역 1279
 
5.6%
로 1271
 
5.5%
대 662
 
2.9%
층 608
 
2.7%
Other values (336) 10250
44.7%
Latin
ValueCountFrequency (%)
B 35
26.5%
S 13
 
9.8%
A 11
 
8.3%
K 8
 
6.1%
C 6
 
4.5%
L 6
 
4.5%
Y 5
 
3.8%
H 5
 
3.8%
N 5
 
3.8%
E 4
 
3.0%
Other values (17) 34
25.8%
Common
ValueCountFrequency (%)
6663
41.3%
( 1260
 
7.8%
) 1260
 
7.8%
1 1172
 
7.3%
, 1047
 
6.5%
2 909
 
5.6%
3 741
 
4.6%
4 564
 
3.5%
0 560
 
3.5%
5 449
 
2.8%
Other values (16) 1524
 
9.4%
Han
ValueCountFrequency (%)
盧 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 22939
58.5%
ASCII 16279
41.5%
None 2
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6663
40.9%
( 1260
 
7.7%
) 1260
 
7.7%
1 1172
 
7.2%
, 1047
 
6.4%
2 909
 
5.6%
3 741
 
4.6%
4 564
 
3.5%
0 560
 
3.4%
5 449
 
2.8%
Other values (41) 1654
 
10.2%
Hangul
ValueCountFrequency (%)
동 1631
 
7.1%
부 1598
 
7.0%
산 1592
 
6.9%
시 1370
 
6.0%
광 1368
 
6.0%
구 1310
 
5.7%
역 1279
 
5.6%
로 1271
 
5.5%
대 662
 
2.9%
층 608
 
2.7%
Other values (336) 10250
44.7%
CJK Compat Ideographs
ValueCountFrequency (%)
盧 1
100.0%
None
ValueCountFrequency (%)
？ 1
50.0%
· 1
50.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct521
Distinct (%)63.5%
Missing492
Missing (%)37.5%
Infinite0
Infinite (%)0.0%
Mean82654.069
Minimum46004
Maximum619905
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.7 KiB
2024-04-17T13:12:08.390664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46004
5-th percentile46230
Q147145
median47771
Q348515
95-th percentile604851
Maximum619905
Range573901
Interquartile range (IQR)1370

Descriptive statistics

Standard deviation135888.94
Coefficient of variation (CV)1.6440684
Kurtosis11.24478
Mean82654.069
Median Absolute Deviation (MAD)725
Skewness3.6352356
Sum67858991
Variance1.8465805 × 1010
MonotonicityNot monotonic
2024-04-17T13:12:08.572303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
46726 14
 
1.1%
48059 12
 
0.9%
48119 11
 
0.8%
46759 7
 
0.5%
48111 7
 
0.5%
47247 6
 
0.5%
48515 6
 
0.5%
46765 6
 
0.5%
48106 6
 
0.5%
46243 6
 
0.5%
Other values (511) 740
56.4%
(Missing) 492
37.5%
ValueCountFrequency (%)
46004 1
 
0.1%
46008 4
0.3%
46015 5
0.4%
46017 4
0.3%
46023 1
 
0.1%
46024 1
 
0.1%
46032 1
 
0.1%
46054 1
 
0.1%
46055 1
 
0.1%
46061 3
0.2%
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

Distinct1208
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Memory size10.4 KiB
2024-04-17T13:12:08.809990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length21
Mean length7.1888804
Min length2

Characters and Unicode

Total characters9439
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

Unique1129 ?
Unique (%)86.0%

Sample

1st row억스헬스클럽
2nd row빅토리아 헬스
3rd row부천헬스클럽
4th row해성헬스클럽
5th row파시헬스클럽
ValueCountFrequency (%)
휘트니스 83
 
4.4%
피트니스 47
 
2.5%
헬스 34
 
1.8%
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 (1341) 1625
85.8%
2024-04-17T13:12:09.133691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 1067
 
11.3%
580
 
6.1%
헬 470
 
5.0%
트 377
 
4.0%
니 301
 
3.2%
휘 203
 
2.2%
럽 183
 
1.9%
클 180
 
1.9%
짐 135
 
1.4%
피 134
 
1.4%
Other values (511) 5809
61.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7683
81.4%
Uppercase Letter 663
 
7.0%
Space Separator 580
 
6.1%
Lowercase Letter 232
 
2.5%
Open Punctuation 77
 
0.8%
Close Punctuation 77
 
0.8%
Decimal Number 69
 
0.7%
Other Punctuation 51
 
0.5%
Dash Punctuation 3
 
< 0.1%
Math Symbol 2
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 1067
 
13.9%
헬 470
 
6.1%
트 377
 
4.9%
니 301
 
3.9%
휘 203
 
2.6%
럽 183
 
2.4%
클 180
 
2.3%
짐 135
 
1.8%
피 134
 
1.7%
이 116
 
1.5%
Other values (441) 4517
58.8%
Uppercase Letter
ValueCountFrequency (%)
M 67
 
10.1%
T 64
 
9.7%
G 58
 
8.7%
Y 52
 
7.8%
S 47
 
7.1%
P 42
 
6.3%
A 42
 
6.3%
O 34
 
5.1%
I 28
 
4.2%
F 25
 
3.8%
Other values (15) 204
30.8%
Lowercase Letter
ValueCountFrequency (%)
e 26
11.2%
i 23
9.9%
o 22
9.5%
s 22
9.5%
t 20
8.6%
n 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 (%)
& 20
39.2%
. 19
37.3%
, 7
 
13.7%
· 2
 
3.9%
: 2
 
3.9%
# 1
 
2.0%
Math Symbol
ValueCountFrequency (%)
⇒ 1
50.0%
+ 1
50.0%
Space Separator
ValueCountFrequency (%)
580
100.0%
Open Punctuation
ValueCountFrequency (%)
( 77
100.0%
Close Punctuation
ValueCountFrequency (%)
) 77
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Other Symbol
ValueCountFrequency (%)
℃ 1
100.0%
Other Number
ValueCountFrequency (%)
₂ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7682
81.4%
Latin 895
 
9.5%
Common 861
 
9.1%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 1067
 
13.9%
헬 470
 
6.1%
트 377
 
4.9%
니 301
 
3.9%
휘 203
 
2.6%
럽 183
 
2.4%
클 180
 
2.3%
짐 135
 
1.8%
피 134
 
1.7%
이 116
 
1.5%
Other values (440) 4516
58.8%
Latin
ValueCountFrequency (%)
M 67
 
7.5%
T 64
 
7.2%
G 58
 
6.5%
Y 52
 
5.8%
S 47
 
5.3%
P 42
 
4.7%
A 42
 
4.7%
O 34
 
3.8%
I 28
 
3.1%
e 26
 
2.9%
Other values (36) 435
48.6%
Common
ValueCountFrequency (%)
580
67.4%
( 77
 
8.9%
) 77
 
8.9%
2 21
 
2.4%
& 20
 
2.3%
. 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 7682
81.4%
ASCII 1751
 
18.6%
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 1067
 
13.9%
헬 470
 
6.1%
트 377
 
4.9%
니 301
 
3.9%
휘 203
 
2.6%
럽 183
 
2.4%
클 180
 
2.3%
짐 135
 
1.8%
피 134
 
1.7%
이 116
 
1.5%
Other values (440) 4516
58.8%
ASCII
ValueCountFrequency (%)
580
33.1%
( 77
 
4.4%
) 77
 
4.4%
M 67
 
3.8%
T 64
 
3.7%
G 58
 
3.3%
Y 52
 
3.0%
S 47
 
2.7%
P 42
 
2.4%
A 42
 
2.4%
Other values (56) 645
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)

Distinct1311
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0154662 × 1013
Minimum2.0021018 × 1013
Maximum2.0201231 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.7 KiB
2024-04-17T13:12:09.250470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0021018 × 1013
5-th percentile2.0041218 × 1013
Q12.012022 × 1013
median2.0180302 × 1013
Q32.0200122 × 1013
95-th percentile2.020103 × 1013
Maximum2.0201231 × 1013
Range1.8021302 × 1011
Interquartile range (IQR)7.9901994 × 1010

Descriptive statistics

Standard deviation5.1752263 × 1010
Coefficient of variation (CV)0.0025677564
Kurtosis-0.2645067
Mean2.0154662 × 1013
Median Absolute Deviation (MAD)2.0319946 × 1010
Skewness-1.0129211
Sum2.6463071 × 1016
Variance2.6782967 × 1021
MonotonicityNot monotonic
2024-04-17T13:12:09.372084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20021018132120 3
 
0.2%
20091106160505 1
 
0.1%
20131212140913 1
 
0.1%
20180705141429 1
 
0.1%
20041218114843 1
 
0.1%
20051212094643 1
 
0.1%
20070528175241 1
 
0.1%
20180605135803 1
 
0.1%
20180829113242 1
 
0.1%
20171012175051 1
 
0.1%
Other values (1301) 1301
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 (%)
20201231153646 1
0.1%
20201230170513 1
0.1%
20201228130819 1
0.1%
20201228090041 1
0.1%
20201222113814 1
0.1%
20201222092914 1
0.1%
20201216100617 1
0.1%
20201215092730 1
0.1%
20201215085830 1
0.1%
20201214173128 1
0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size10.4 KiB
I
857 
U
456 

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 857
65.3%
U 456
34.7%

Length

2024-04-17T13:12:09.478686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T13:12:09.555068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 857
65.3%
u 456
34.7%

데이터갱신일자
Date

Distinct359
Distinct (%)27.3%
Missing0
Missing (%)0.0%
Memory size10.4 KiB
Minimum2018-08-31 23:59:59
Maximum2021-01-02 00:23:15
2024-04-17T13:12:09.636650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T13:12:09.746089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1313
Missing (%)100.0%
Memory size11.7 KiB

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct1132
Distinct (%)87.3%
Missing17
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean387921.08
Minimum366820.79
Maximum404771.78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.7 KiB
2024-04-17T13:12:09.855433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum366820.79
5-th percentile379187.7
Q1384187.3
median388314.26
Q3391589.07
95-th percentile397838.14
Maximum404771.78
Range37950.995
Interquartile range (IQR)7401.7703

Descriptive statistics

Standard deviation5713.6725
Coefficient of variation (CV)0.014728956
Kurtosis0.30400189
Mean387921.08
Median Absolute Deviation (MAD)3678.9147
Skewness-0.23787643
Sum5.0274572 × 108
Variance32646053
MonotonicityNot monotonic
2024-04-17T13:12:09.966988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
395388.715069604 7
 
0.5%
392515.689667818 5
 
0.4%
394340.426549986 5
 
0.4%
393605.930358633 4
 
0.3%
395272.187921241 4
 
0.3%
391283.629558671 3
 
0.2%
395615.201853958 3
 
0.2%
391891.89869366 3
 
0.2%
389886.849213892 3
 
0.2%
398330.516530402 3
 
0.2%
Other values (1122) 1256
95.7%
(Missing) 17
 
1.3%
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 

Distinct1132
Distinct (%)87.3%
Missing17
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean186825.84
Minimum173961.91
Maximum207205.17
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.7 KiB
2024-04-17T13:12:10.077718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum173961.91
5-th percentile177918.25
Q1183166.38
median186769.24
Q3190519.02
95-th percentile196175.2
Maximum207205.17
Range33243.255
Interquartile range (IQR)7352.6344

Descriptive statistics

Standard deviation5641.4751
Coefficient of variation (CV)0.030196439
Kurtosis0.36784211
Mean186825.84
Median Absolute Deviation (MAD)3737.2361
Skewness0.31691978
Sum2.4212629 × 108
Variance31826242
MonotonicityNot monotonic
2024-04-17T13:12:10.192127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
186268.853282623 7
 
0.5%
183481.94111857 5
 
0.4%
187360.769460221 5
 
0.4%
188324.973749177 4
 
0.3%
186102.052953595 4
 
0.3%
183979.58696558 3
 
0.2%
186406.750870936 3
 
0.2%
189365.901670004 3
 
0.2%
194319.945376996 3
 
0.2%
187771.511373596 3
 
0.2%
Other values (1122) 1256
95.7%
(Missing) 17
 
1.3%
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%
204661.761497689 1
0.1%
204650.219277072 1
0.1%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.4 KiB
체력단련장업
1313 

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 1313
100.0%

Length

2024-04-17T13:12:10.293251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T13:12:10.366389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
체력단련장업 1313
100.0%

공사립구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.4 KiB
사립
1313 

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 1313
100.0%

Length

2024-04-17T13:12:10.439288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T13:12:10.514219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 1313
100.0%

보험가입여부코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size10.4 KiB
<NA>
1005 
0
279 
Y
 
21
1
 
8

Length

Max length4
Median length4
Mean length3.2962681
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1005
76.5%
0 279
 
21.2%
Y 21
 
1.6%
1 8
 
0.6%

Length

2024-04-17T13:12:10.595767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T13:12:10.682672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1005
76.5%
0 279
 
21.2%
y 21
 
1.6%
1 8
 
0.6%

지도자수
Categorical

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size10.4 KiB
<NA>
770 
1
386 
2
153 
0
 
3
3
 
1

Length

Max length4
Median length4
Mean length2.7593298
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> 770
58.6%
1 386
29.4%
2 153
 
11.7%
0 3
 
0.2%
3 1
 
0.1%

Length

2024-04-17T13:12:10.776611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T13:12:10.859088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 770
58.6%
1 386
29.4%
2 153
 
11.7%
0 3
 
0.2%
3 1
 
0.1%

건축물동수
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)4.2%
Missing1124
Missing (%)85.6%
Infinite0
Infinite (%)0.0%
Mean2.7142857
Minimum0
Maximum302
Zeros16
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size11.7 KiB
2024-04-17T13:12:10.937696image/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
2024-04-17T13:12:11.021467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 156
 
11.9%
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) 1124
85.6%
ValueCountFrequency (%)
0 16
 
1.2%
1 156
11.9%
2 8
 
0.6%
3 5
 
0.4%
4 1
 
0.1%
8 1
 
0.1%
12 1
 
0.1%
302 1
 
0.1%
ValueCountFrequency (%)
302 1
 
0.1%
12 1
 
0.1%
8 1
 
0.1%
4 1
 
0.1%
3 5
 
0.4%
2 8
 
0.6%
1 156
11.9%
0 16
 
1.2%

건축물연면적
Real number (ℝ)

MISSING  ZEROS 

Distinct645
Distinct (%)92.1%
Missing613
Missing (%)46.7%
Infinite0
Infinite (%)0.0%
Mean35703.652
Minimum0
Maximum10735378
Zeros18
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size11.7 KiB
2024-04-17T13:12:11.134991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile93.0565
Q1224.9525
median552.885
Q32490.815
95-th percentile23196.596
Maximum10735378
Range10735378
Interquartile range (IQR)2265.8625

Descriptive statistics

Standard deviation526780.44
Coefficient of variation (CV)14.754245
Kurtosis352.63728
Mean35703.652
Median Absolute Deviation (MAD)432.885
Skewness18.623265
Sum24992556
Variance2.7749763 × 1011
MonotonicityNot monotonic
2024-04-17T13:12:11.256398image/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 (635) 651
49.6%
(Missing) 613
46.7%
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%
Missing1304
Missing (%)99.3%
Infinite0
Infinite (%)0.0%
Mean84.555556
Minimum1
Maximum250
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.7 KiB
2024-04-17T13:12:11.347059image/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
2024-04-17T13:12:11.428945image/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) 1304
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 

Missing1313
Missing (%)100.0%
Memory size11.7 KiB

법인명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1313
Missing (%)100.0%
Memory size11.7 KiB

Unnamed: 37
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1313
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
13031304체력단련장업10_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>
13041305체력단련장업10_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>
13051306체력단련장업10_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>
13061307체력단련장업10_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>
13071308체력단련장업10_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>
13081309체력단련장업10_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>
13091310체력단련장업10_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>
13101311체력단련장업10_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>
13111312체력단련장업10_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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