Overview

Dataset statistics

Number of variables33
Number of observations10000
Missing cells129309
Missing cells (%)39.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.8 MiB
Average record size in memory294.0 B

Variable types

Numeric11
Categorical7
Text5
Unsupported9
DateTime1

Dataset

Description2021-04-01
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20230901050101123012

Alerts

개방서비스명 has constant value ""Constant
개방서비스id has constant value ""Constant
상세영업상태코드 is highly imbalanced (54.4%)Imbalance
상세영업상태명 is highly imbalanced (54.4%)Imbalance
인허가취소일자 has 10000 (100.0%) missing valuesMissing
폐업일자 has 5216 (52.2%) missing valuesMissing
휴업시작일자 has 9992 (99.9%) missing valuesMissing
휴업종료일자 has 9992 (99.9%) missing valuesMissing
재개업일자 has 10000 (100.0%) missing valuesMissing
소재지전화 has 3727 (37.3%) missing valuesMissing
소재지면적 has 10000 (100.0%) missing valuesMissing
소재지우편번호 has 4651 (46.5%) missing valuesMissing
소재지전체주소 has 1189 (11.9%) missing valuesMissing
도로명전체주소 has 806 (8.1%) missing valuesMissing
도로명우편번호 has 2128 (21.3%) missing valuesMissing
업태구분명 has 10000 (100.0%) missing valuesMissing
좌표정보(x) has 804 (8.0%) missing valuesMissing
좌표정보(y) has 804 (8.0%) missing valuesMissing
수리대상 의료기기의 유형 has 10000 (100.0%) missing valuesMissing
다른 겸업 여부 has 10000 (100.0%) missing valuesMissing
총규모 has 10000 (100.0%) missing valuesMissing
영업규모 has 10000 (100.0%) missing valuesMissing
Unnamed: 32 has 10000 (100.0%) missing valuesMissing
번호 has unique valuesUnique
관리번호 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
수리대상 의료기기의 유형 is an unsupported type, check if it needs cleaning or further analysisUnsupported
다른 겸업 여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총규모 is an unsupported type, check if it needs cleaning or further analysisUnsupported
영업규모 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 32 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-16 16:45:24.780455
Analysis finished2024-04-16 16:45:26.450087
Duration1.67 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5024.5945
Minimum1
Maximum10052
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-17T01:45:26.506510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile504.95
Q12512.75
median5025.5
Q37535.25
95-th percentile9548.05
Maximum10052
Range10051
Interquartile range (IQR)5022.5

Descriptive statistics

Standard deviation2901.099
Coefficient of variation (CV)0.57737972
Kurtosis-1.1998403
Mean5024.5945
Median Absolute Deviation (MAD)2511.5
Skewness0.00073945572
Sum50245945
Variance8416375.1
MonotonicityNot monotonic
2024-04-17T01:45:26.802992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
130 1
 
< 0.1%
1823 1
 
< 0.1%
5957 1
 
< 0.1%
6145 1
 
< 0.1%
6557 1
 
< 0.1%
1436 1
 
< 0.1%
2167 1
 
< 0.1%
5813 1
 
< 0.1%
5590 1
 
< 0.1%
7266 1
 
< 0.1%
Other values (9990) 9990
99.9%
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 (%)
10052 1
< 0.1%
10051 1
< 0.1%
10050 1
< 0.1%
10049 1
< 0.1%
10048 1
< 0.1%
10047 1
< 0.1%
10046 1
< 0.1%
10045 1
< 0.1%
10044 1
< 0.1%
10043 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
의료기기판매(임대)업
10000 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row의료기기판매(임대)업
2nd row의료기기판매(임대)업
3rd row의료기기판매(임대)업
4th row의료기기판매(임대)업
5th row의료기기판매(임대)업

Common Values

ValueCountFrequency (%)
의료기기판매(임대)업 10000
100.0%

Length

2024-04-17T01:45:26.901778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T01:45:26.973804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의료기기판매(임대)업 10000
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
01_02_03_P
10000 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row01_02_03_P
2nd row01_02_03_P
3rd row01_02_03_P
4th row01_02_03_P
5th row01_02_03_P

Common Values

ValueCountFrequency (%)
01_02_03_P 10000
100.0%

Length

2024-04-17T01:45:27.076418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T01:45:27.163234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
01_02_03_p 10000
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3324152
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-17T01:45:27.253871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3250000
5-th percentile3260000
Q13290000
median3320000
Q33350000
95-th percentile3390000
Maximum3400000
Range150000
Interquartile range (IQR)60000

Descriptive statistics

Standard deviation40048.986
Coefficient of variation (CV)0.012047881
Kurtosis-0.95699452
Mean3324152
Median Absolute Deviation (MAD)30000
Skewness0.10606331
Sum3.324152 × 1010
Variance1.6039213 × 109
MonotonicityNot monotonic
2024-04-17T01:45:27.369014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3290000 1411
14.1%
3350000 1082
10.8%
3300000 1069
10.7%
3330000 917
9.2%
3370000 747
7.5%
3310000 733
7.3%
3270000 625
 
6.2%
3380000 567
 
5.7%
3390000 551
 
5.5%
3340000 541
 
5.4%
Other values (6) 1757
17.6%
ValueCountFrequency (%)
3250000 366
 
3.7%
3260000 266
 
2.7%
3270000 625
6.2%
3280000 148
 
1.5%
3290000 1411
14.1%
3300000 1069
10.7%
3310000 733
7.3%
3320000 517
 
5.2%
3330000 917
9.2%
3340000 541
 
5.4%
ValueCountFrequency (%)
3400000 263
 
2.6%
3390000 551
5.5%
3380000 567
5.7%
3370000 747
7.5%
3360000 197
 
2.0%
3350000 1082
10.8%
3340000 541
5.4%
3330000 917
9.2%
3320000 517
5.2%
3310000 733
7.3%

관리번호
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-17T01:45:27.549308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length24.9993
Min length18

Characters and Unicode

Total characters249993
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

Unique10000 ?
Unique (%)100.0%

Sample

1st rowPHMG120113250021047000012
2nd rowPHMG120033390023047000004
3rd rowPHMG120093320045047000007
4th rowPHMG120083290024047000024
5th rowPHMG119983290024047000004
ValueCountFrequency (%)
phmg120113250021047000012 1
 
< 0.1%
phmg120093270022047000027 1
 
< 0.1%
phmg120143290024047000044 1
 
< 0.1%
phmg120193400013047000005 1
 
< 0.1%
phmg120193350024047000004 1
 
< 0.1%
phmg120093350024047000017 1
 
< 0.1%
phmg120123350024047000008 1
 
< 0.1%
phmg120153300024047000021 1
 
< 0.1%
phmg120203370022047000039 1
 
< 0.1%
phmg120123370022047000028 1
 
< 0.1%
Other values (9990) 9990
99.9%
2024-04-17T01:45:27.863703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 88506
35.4%
2 28191
 
11.3%
3 22406
 
9.0%
1 22270
 
8.9%
4 19854
 
7.9%
7 13474
 
5.4%
P 10000
 
4.0%
H 10000
 
4.0%
M 10000
 
4.0%
G 10000
 
4.0%
Other values (4) 15292
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 209993
84.0%
Uppercase Letter 40000
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 88506
42.1%
2 28191
 
13.4%
3 22406
 
10.7%
1 22270
 
10.6%
4 19854
 
9.5%
7 13474
 
6.4%
5 5007
 
2.4%
9 4738
 
2.3%
8 2781
 
1.3%
6 2766
 
1.3%
Uppercase Letter
ValueCountFrequency (%)
P 10000
25.0%
H 10000
25.0%
M 10000
25.0%
G 10000
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 209993
84.0%
Latin 40000
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 88506
42.1%
2 28191
 
13.4%
3 22406
 
10.7%
1 22270
 
10.6%
4 19854
 
9.5%
7 13474
 
6.4%
5 5007
 
2.4%
9 4738
 
2.3%
8 2781
 
1.3%
6 2766
 
1.3%
Latin
ValueCountFrequency (%)
P 10000
25.0%
H 10000
25.0%
M 10000
25.0%
G 10000
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 249993
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 88506
35.4%
2 28191
 
11.3%
3 22406
 
9.0%
1 22270
 
8.9%
4 19854
 
7.9%
7 13474
 
5.4%
P 10000
 
4.0%
H 10000
 
4.0%
M 10000
 
4.0%
G 10000
 
4.0%
Other values (4) 15292
 
6.1%

인허가일자
Real number (ℝ)

Distinct4272
Distinct (%)42.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20120137
Minimum19660726
Maximum22190403
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-17T01:45:28.002678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19660726
5-th percentile20010605
Q120090108
median20131105
Q320161004
95-th percentile20200513
Maximum22190403
Range2529677
Interquartile range (IQR)70896.25

Descriptive statistics

Standard deviation64512.597
Coefficient of variation (CV)0.0032063696
Kurtosis107.4414
Mean20120137
Median Absolute Deviation (MAD)39612
Skewness2.2979356
Sum2.0120137 × 1011
Variance4.1618752 × 109
MonotonicityNot monotonic
2024-04-17T01:45:28.159956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20141110 37
 
0.4%
20141114 36
 
0.4%
20141107 32
 
0.3%
20141113 29
 
0.3%
20141111 28
 
0.3%
20141031 28
 
0.3%
20141105 27
 
0.3%
20141121 25
 
0.2%
20141118 25
 
0.2%
20141106 25
 
0.2%
Other values (4262) 9708
97.1%
ValueCountFrequency (%)
19660726 1
< 0.1%
19780225 1
< 0.1%
19781021 1
< 0.1%
19790507 1
< 0.1%
19790704 1
< 0.1%
19800502 1
< 0.1%
19810110 1
< 0.1%
19810122 1
< 0.1%
19810323 1
< 0.1%
19810824 1
< 0.1%
ValueCountFrequency (%)
22190403 1
 
< 0.1%
20210226 5
0.1%
20210225 3
< 0.1%
20210224 4
< 0.1%
20210223 4
< 0.1%
20210222 3
< 0.1%
20210219 1
 
< 0.1%
20210218 5
0.1%
20210217 1
 
< 0.1%
20210216 2
 
< 0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

영업상태구분코드
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
5075 
3
4854 
4
 
63
2
 
8

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row1
3rd row1
4th row3
5th row3

Common Values

ValueCountFrequency (%)
1 5075
50.7%
3 4854
48.5%
4 63
 
0.6%
2 8
 
0.1%

Length

2024-04-17T01:45:28.272900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T01:45:28.382253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 5075
50.7%
3 4854
48.5%
4 63
 
0.6%
2 8
 
0.1%

영업상태명
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
영업/정상
5075 
폐업
4854 
취소/말소/만료/정지/중지
 
63
휴업
 
8

Length

Max length14
Median length5
Mean length3.5981
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 5075
50.7%
폐업 4854
48.5%
취소/말소/만료/정지/중지 63
 
0.6%
휴업 8
 
0.1%

Length

2024-04-17T01:45:28.474599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T01:45:28.575083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 5075
50.7%
폐업 4854
48.5%
취소/말소/만료/정지/중지 63
 
0.6%
휴업 8
 
0.1%

상세영업상태코드
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
13
5075 
3
4854 
24
 
62
2
 
8
25
 
1

Length

Max length2
Median length2
Mean length1.5138
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row3
2nd row13
3rd row13
4th row3
5th row3

Common Values

ValueCountFrequency (%)
13 5075
50.7%
3 4854
48.5%
24 62
 
0.6%
2 8
 
0.1%
25 1
 
< 0.1%

Length

2024-04-17T01:45:28.671348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T01:45:28.776745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 5075
50.7%
3 4854
48.5%
24 62
 
0.6%
2 8
 
0.1%
25 1
 
< 0.1%

상세영업상태명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
영업중
5075 
폐업
4854 
직권폐업
 
62
휴업
 
8
영업정지
 
1

Length

Max length4
Median length3
Mean length2.5201
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 5075
50.7%
폐업 4854
48.5%
직권폐업 62
 
0.6%
휴업 8
 
0.1%
영업정지 1
 
< 0.1%

Length

2024-04-17T01:45:28.884299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T01:45:28.980043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 5075
50.7%
폐업 4854
48.5%
직권폐업 62
 
0.6%
휴업 8
 
0.1%
영업정지 1
 
< 0.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct2462
Distinct (%)51.5%
Missing5216
Missing (%)52.2%
Infinite0
Infinite (%)0.0%
Mean20138423
Minimum19890125
Maximum20210228
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-17T01:45:29.092855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19890125
5-th percentile20050620
Q120110620
median20150505
Q320170815
95-th percentile20200316
Maximum20210228
Range320103
Interquartile range (IQR)60195

Descriptive statistics

Standard deviation47634.882
Coefficient of variation (CV)0.002365373
Kurtosis2.6842053
Mean20138423
Median Absolute Deviation (MAD)30080
Skewness-1.2888365
Sum9.6342214 × 1010
Variance2.269082 × 109
MonotonicityNot monotonic
2024-04-17T01:45:29.219093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20161230 104
 
1.0%
20161229 98
 
1.0%
20161228 53
 
0.5%
20191018 33
 
0.3%
20191015 26
 
0.3%
20191011 18
 
0.2%
19990603 17
 
0.2%
20110726 16
 
0.2%
20160725 15
 
0.1%
20191028 12
 
0.1%
Other values (2452) 4392
43.9%
(Missing) 5216
52.2%
ValueCountFrequency (%)
19890125 1
< 0.1%
19901123 1
< 0.1%
19910709 1
< 0.1%
19920128 1
< 0.1%
19920417 1
< 0.1%
19920604 1
< 0.1%
19920608 2
< 0.1%
19920609 1
< 0.1%
19920610 1
< 0.1%
19920914 1
< 0.1%
ValueCountFrequency (%)
20210228 1
 
< 0.1%
20210226 1
 
< 0.1%
20210225 2
< 0.1%
20210224 2
< 0.1%
20210223 1
 
< 0.1%
20210222 2
< 0.1%
20210219 1
 
< 0.1%
20210216 1
 
< 0.1%
20210215 3
< 0.1%
20210209 2
< 0.1%

휴업시작일자
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)100.0%
Missing9992
Missing (%)99.9%
Infinite0
Infinite (%)0.0%
Mean20186845
Minimum20131115
Maximum20210101
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-17T01:45:29.326862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20131115
5-th percentile20148269
Q120180577
median20195224
Q320201118
95-th percentile20206961
Maximum20210101
Range78986
Interquartile range (IQR)20541.25

Descriptive statistics

Standard deviation24857.513
Coefficient of variation (CV)0.0012313719
Kurtosis4.1308838
Mean20186845
Median Absolute Deviation (MAD)10201.5
Skewness-1.8954452
Sum1.6149476 × 108
Variance6.1789597 × 108
MonotonicityNot monotonic
2024-04-17T01:45:29.443755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
20131115 1
 
< 0.1%
20180126 1
 
< 0.1%
20190328 1
 
< 0.1%
20180727 1
 
< 0.1%
20201114 1
 
< 0.1%
20210101 1
 
< 0.1%
20200120 1
 
< 0.1%
20201130 1
 
< 0.1%
(Missing) 9992
99.9%
ValueCountFrequency (%)
20131115 1
< 0.1%
20180126 1
< 0.1%
20180727 1
< 0.1%
20190328 1
< 0.1%
20200120 1
< 0.1%
20201114 1
< 0.1%
20201130 1
< 0.1%
20210101 1
< 0.1%
ValueCountFrequency (%)
20210101 1
< 0.1%
20201130 1
< 0.1%
20201114 1
< 0.1%
20200120 1
< 0.1%
20190328 1
< 0.1%
20180727 1
< 0.1%
20180126 1
< 0.1%
20131115 1
< 0.1%

휴업종료일자
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)100.0%
Missing9992
Missing (%)99.9%
Infinite0
Infinite (%)0.0%
Mean20204082
Minimum20140317
Maximum20230125
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-17T01:45:29.555684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20140317
5-th percentile20157960
Q120197927
median20215466
Q320220115
95-th percentile20226623
Maximum20230125
Range89808
Interquartile range (IQR)22188.5

Descriptive statistics

Standard deviation28668.209
Coefficient of variation (CV)0.0014189315
Kurtosis3.8430792
Mean20204082
Median Absolute Deviation (MAD)9656
Skewness-1.8705669
Sum1.6163266 × 108
Variance8.2186623 × 108
MonotonicityNot monotonic
2024-04-17T01:45:29.646280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
20140317 1
 
< 0.1%
20230125 1
 
< 0.1%
20200327 1
 
< 0.1%
20190726 1
 
< 0.1%
20210831 1
 
< 0.1%
20220101 1
 
< 0.1%
20220119 1
 
< 0.1%
20220114 1
 
< 0.1%
(Missing) 9992
99.9%
ValueCountFrequency (%)
20140317 1
< 0.1%
20190726 1
< 0.1%
20200327 1
< 0.1%
20210831 1
< 0.1%
20220101 1
< 0.1%
20220114 1
< 0.1%
20220119 1
< 0.1%
20230125 1
< 0.1%
ValueCountFrequency (%)
20230125 1
< 0.1%
20220119 1
< 0.1%
20220114 1
< 0.1%
20220101 1
< 0.1%
20210831 1
< 0.1%
20200327 1
< 0.1%
20190726 1
< 0.1%
20140317 1
< 0.1%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

소재지전화
Text

MISSING 

Distinct5718
Distinct (%)91.2%
Missing3727
Missing (%)37.3%
Memory size156.2 KiB
2024-04-17T01:45:29.872203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length12
Mean length10.710824
Min length2

Characters and Unicode

Total characters67189
Distinct characters17
Distinct categories7 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5247 ?
Unique (%)83.6%

Sample

1st row051-303-3771
2nd row051-896-7747
3rd row051-818-0016
4th row051-853-4888
5th row051-808-7490
ValueCountFrequency (%)
636-1814 5
 
0.1%
362-7575 5
 
0.1%
051-314-6689 4
 
0.1%
051 4
 
0.1%
4
 
0.1%
557-7583 4
 
0.1%
051-544-7589 4
 
0.1%
702-9824 4
 
0.1%
517-3337 4
 
0.1%
051-761-1284 4
 
0.1%
Other values (5711) 6236
99.3%
2024-04-17T01:45:30.229804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 10035
14.9%
5 9603
14.3%
0 8866
13.2%
1 8425
12.5%
2 5073
7.6%
7 4723
7.0%
8 4567
6.8%
3 4405
6.6%
6 4309
6.4%
4 3965
 
5.9%
Other values (7) 3218
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 56797
84.5%
Dash Punctuation 10035
 
14.9%
Close Punctuation 324
 
0.5%
Math Symbol 14
 
< 0.1%
Other Punctuation 13
 
< 0.1%
Space Separator 5
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 9603
16.9%
0 8866
15.6%
1 8425
14.8%
2 5073
8.9%
7 4723
8.3%
8 4567
8.0%
3 4405
7.8%
6 4309
7.6%
4 3965
7.0%
9 2861
 
5.0%
Other Punctuation
ValueCountFrequency (%)
. 8
61.5%
, 5
38.5%
Dash Punctuation
ValueCountFrequency (%)
- 10035
100.0%
Close Punctuation
ValueCountFrequency (%)
) 324
100.0%
Math Symbol
ValueCountFrequency (%)
~ 14
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 67189
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 10035
14.9%
5 9603
14.3%
0 8866
13.2%
1 8425
12.5%
2 5073
7.6%
7 4723
7.0%
8 4567
6.8%
3 4405
6.6%
6 4309
6.4%
4 3965
 
5.9%
Other values (7) 3218
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 67189
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 10035
14.9%
5 9603
14.3%
0 8866
13.2%
1 8425
12.5%
2 5073
7.6%
7 4723
7.0%
8 4567
6.8%
3 4405
6.6%
6 4309
6.4%
4 3965
 
5.9%
Other values (7) 3218
 
4.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct945
Distinct (%)17.7%
Missing4651
Missing (%)46.5%
Infinite0
Infinite (%)0.0%
Mean608839.69
Minimum46253
Maximum619963
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-17T01:45:30.352972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46253
5-th percentile601804
Q1607123
median609843
Q3613831
95-th percentile617060
Maximum619963
Range573710
Interquartile range (IQR)6708

Descriptive statistics

Standard deviation28122.245
Coefficient of variation (CV)0.046189901
Kurtosis382.74004
Mean608839.69
Median Absolute Deviation (MAD)3822
Skewness-19.314973
Sum3.2566835 × 109
Variance7.9086065 × 108
MonotonicityNot monotonic
2024-04-17T01:45:30.467157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
609340 74
 
0.7%
609311 41
 
0.4%
609811 40
 
0.4%
601838 36
 
0.4%
609801 35
 
0.4%
611071 35
 
0.4%
611085 31
 
0.3%
607101 31
 
0.3%
612021 31
 
0.3%
614853 30
 
0.3%
Other values (935) 4965
49.6%
(Missing) 4651
46.5%
ValueCountFrequency (%)
46253 1
< 0.1%
46918 1
< 0.1%
46997 1
< 0.1%
47546 1
< 0.1%
47785 1
< 0.1%
47788 1
< 0.1%
47829 1
< 0.1%
48055 1
< 0.1%
48091 1
< 0.1%
48092 1
< 0.1%
ValueCountFrequency (%)
619963 6
 
0.1%
619961 5
 
0.1%
619953 1
 
< 0.1%
619951 1
 
< 0.1%
619912 4
 
< 0.1%
619906 8
 
0.1%
619905 14
0.1%
619904 1
 
< 0.1%
619903 22
0.2%
619902 1
 
< 0.1%

소재지전체주소
Text

MISSING 

Distinct7574
Distinct (%)86.0%
Missing1189
Missing (%)11.9%
Memory size156.2 KiB
2024-04-17T01:45:30.778411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length49
Mean length24.942685
Min length2

Characters and Unicode

Total characters219770
Distinct characters512
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

Unique6800 ?
Unique (%)77.2%

Sample

1st row부산광역시 중구 동광동2가 16번지 5호 동남빌딩 105호
2nd row부산광역시 사상구 학장동 237-27
3rd row부산광역시 북구 구포2동 1121번지 1호 구포구민병원 내 1층
4th row부산광역시 부산진구 개금동 444번지 7호
5th row부산광역시 부산진구 부전동 155번지 6호
ValueCountFrequency (%)
부산광역시 8753
 
18.9%
부산진구 1241
 
2.7%
동래구 1067
 
2.3%
금정구 1064
 
2.3%
1호 991
 
2.1%
해운대구 716
 
1.5%
연제구 703
 
1.5%
남구 567
 
1.2%
수영구 526
 
1.1%
2호 518
 
1.1%
Other values (5381) 30280
65.2%
2024-04-17T01:45:31.221040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
37825
 
17.2%
부 11010
 
5.0%
산 10957
 
5.0%
동 10706
 
4.9%
1 10628
 
4.8%
광 9074
 
4.1%
구 9032
 
4.1%
시 8909
 
4.1%
역 8775
 
4.0%
지 7428
 
3.4%
Other values (502) 95426
43.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 133069
60.5%
Decimal Number 46160
 
21.0%
Space Separator 37825
 
17.2%
Dash Punctuation 1596
 
0.7%
Open Punctuation 311
 
0.1%
Close Punctuation 310
 
0.1%
Uppercase Letter 303
 
0.1%
Other Punctuation 154
 
0.1%
Lowercase Letter 38
 
< 0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 11010
 
8.3%
산 10957
 
8.2%
동 10706
 
8.0%
광 9074
 
6.8%
구 9032
 
6.8%
시 8909
 
6.7%
역 8775
 
6.6%
지 7428
 
5.6%
호 7262
 
5.5%
번 7020
 
5.3%
Other values (442) 42896
32.2%
Uppercase Letter
ValueCountFrequency (%)
B 55
18.2%
A 32
10.6%
T 32
10.6%
S 26
8.6%
K 25
 
8.3%
D 19
 
6.3%
O 16
 
5.3%
F 13
 
4.3%
G 11
 
3.6%
L 10
 
3.3%
Other values (13) 64
21.1%
Lowercase Letter
ValueCountFrequency (%)
e 7
18.4%
s 5
13.2%
b 5
13.2%
h 4
10.5%
o 4
10.5%
t 2
 
5.3%
g 2
 
5.3%
u 2
 
5.3%
c 1
 
2.6%
k 1
 
2.6%
Other values (5) 5
13.2%
Decimal Number
ValueCountFrequency (%)
1 10628
23.0%
2 7097
15.4%
3 5579
12.1%
4 4238
 
9.2%
5 3933
 
8.5%
0 3346
 
7.2%
6 3253
 
7.0%
7 2908
 
6.3%
8 2641
 
5.7%
9 2537
 
5.5%
Other Punctuation
ValueCountFrequency (%)
, 104
67.5%
/ 26
 
16.9%
@ 15
 
9.7%
& 5
 
3.2%
. 3
 
1.9%
· 1
 
0.6%
Space Separator
ValueCountFrequency (%)
37825
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1596
100.0%
Open Punctuation
ValueCountFrequency (%)
( 311
100.0%
Close Punctuation
ValueCountFrequency (%)
) 310
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Other Symbol
ValueCountFrequency (%)
ⓐ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 133069
60.5%
Common 86360
39.3%
Latin 341
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 11010
 
8.3%
산 10957
 
8.2%
동 10706
 
8.0%
광 9074
 
6.8%
구 9032
 
6.8%
시 8909
 
6.7%
역 8775
 
6.6%
지 7428
 
5.6%
호 7262
 
5.5%
번 7020
 
5.3%
Other values (442) 42896
32.2%
Latin
ValueCountFrequency (%)
B 55
16.1%
A 32
 
9.4%
T 32
 
9.4%
S 26
 
7.6%
K 25
 
7.3%
D 19
 
5.6%
O 16
 
4.7%
F 13
 
3.8%
G 11
 
3.2%
L 10
 
2.9%
Other values (28) 102
29.9%
Common
ValueCountFrequency (%)
37825
43.8%
1 10628
 
12.3%
2 7097
 
8.2%
3 5579
 
6.5%
4 4238
 
4.9%
5 3933
 
4.6%
0 3346
 
3.9%
6 3253
 
3.8%
7 2908
 
3.4%
8 2641
 
3.1%
Other values (12) 4912
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 133069
60.5%
ASCII 86699
39.4%
None 1
 
< 0.1%
Enclosed Alphanum 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
37825
43.6%
1 10628
 
12.3%
2 7097
 
8.2%
3 5579
 
6.4%
4 4238
 
4.9%
5 3933
 
4.5%
0 3346
 
3.9%
6 3253
 
3.8%
7 2908
 
3.4%
8 2641
 
3.0%
Other values (48) 5251
 
6.1%
Hangul
ValueCountFrequency (%)
부 11010
 
8.3%
산 10957
 
8.2%
동 10706
 
8.0%
광 9074
 
6.8%
구 9032
 
6.8%
시 8909
 
6.7%
역 8775
 
6.6%
지 7428
 
5.6%
호 7262
 
5.5%
번 7020
 
5.3%
Other values (442) 42896
32.2%
None
ValueCountFrequency (%)
· 1
100.0%
Enclosed Alphanum
ValueCountFrequency (%)
ⓐ 1
100.0%

도로명전체주소
Text

MISSING 

Distinct8197
Distinct (%)89.2%
Missing806
Missing (%)8.1%
Memory size156.2 KiB
2024-04-17T01:45:31.530693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length52
Mean length30.853383
Min length13

Characters and Unicode

Total characters283666
Distinct characters571
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

Unique7430 ?
Unique (%)80.8%

Sample

1st row부산광역시 중구 대청로126번길 23 (동광동2가,동남빌딩 105호)
2nd row부산광역시 사상구 대동로179번길 13 (학장동)
3rd row부산광역시 북구 사상로 605 (구포동)
4th row부산광역시 부산진구 가야대로443번길 29 (개금동)
5th row부산광역시 부산진구 중앙대로 726 (부전동)
ValueCountFrequency (%)
부산광역시 9193
 
16.7%
부산진구 1309
 
2.4%
금정구 978
 
1.8%
2층 925
 
1.7%
1층 908
 
1.6%
동래구 885
 
1.6%
해운대구 881
 
1.6%
연제구 712
 
1.3%
남구 567
 
1.0%
동구 563
 
1.0%
Other values (6628) 38215
69.3%
2024-04-17T01:45:31.966405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
45970
 
16.2%
동 12133
 
4.3%
부 11816
 
4.2%
산 11672
 
4.1%
1 10178
 
3.6%
광 9773
 
3.4%
시 9695
 
3.4%
구 9612
 
3.4%
역 9221
 
3.3%
로 9111
 
3.2%
Other values (561) 144485
50.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 166179
58.6%
Space Separator 45970
 
16.2%
Decimal Number 44363
 
15.6%
Close Punctuation 9049
 
3.2%
Open Punctuation 9048
 
3.2%
Other Punctuation 7252
 
2.6%
Dash Punctuation 1237
 
0.4%
Uppercase Letter 473
 
0.2%
Lowercase Letter 63
 
< 0.1%
Math Symbol 29
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 12133
 
7.3%
부 11816
 
7.1%
산 11672
 
7.0%
광 9773
 
5.9%
시 9695
 
5.8%
구 9612
 
5.8%
역 9221
 
5.5%
로 9111
 
5.5%
대 4872
 
2.9%
층 3802
 
2.3%
Other values (497) 74472
44.8%
Uppercase Letter
ValueCountFrequency (%)
B 106
22.4%
A 61
12.9%
C 43
9.1%
S 35
 
7.4%
E 30
 
6.3%
K 27
 
5.7%
T 25
 
5.3%
P 18
 
3.8%
H 17
 
3.6%
D 16
 
3.4%
Other values (14) 95
20.1%
Lowercase Letter
ValueCountFrequency (%)
e 20
31.7%
s 6
 
9.5%
b 5
 
7.9%
v 5
 
7.9%
c 4
 
6.3%
o 3
 
4.8%
k 3
 
4.8%
l 3
 
4.8%
n 3
 
4.8%
a 2
 
3.2%
Other values (6) 9
14.3%
Decimal Number
ValueCountFrequency (%)
1 10178
22.9%
2 7227
16.3%
3 5124
11.6%
0 4317
9.7%
4 3696
 
8.3%
5 3385
 
7.6%
6 2990
 
6.7%
7 2836
 
6.4%
9 2335
 
5.3%
8 2275
 
5.1%
Other Punctuation
ValueCountFrequency (%)
, 7200
99.3%
@ 20
 
0.3%
/ 15
 
0.2%
. 7
 
0.1%
& 5
 
0.1%
· 3
 
< 0.1%
; 1
 
< 0.1%
! 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
45970
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9049
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9048
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1237
100.0%
Math Symbol
ValueCountFrequency (%)
~ 29
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 166179
58.6%
Common 116948
41.2%
Latin 539
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 12133
 
7.3%
부 11816
 
7.1%
산 11672
 
7.0%
광 9773
 
5.9%
시 9695
 
5.8%
구 9612
 
5.8%
역 9221
 
5.5%
로 9111
 
5.5%
대 4872
 
2.9%
층 3802
 
2.3%
Other values (497) 74472
44.8%
Latin
ValueCountFrequency (%)
B 106
19.7%
A 61
 
11.3%
C 43
 
8.0%
S 35
 
6.5%
E 30
 
5.6%
K 27
 
5.0%
T 25
 
4.6%
e 20
 
3.7%
P 18
 
3.3%
H 17
 
3.2%
Other values (31) 157
29.1%
Common
ValueCountFrequency (%)
45970
39.3%
1 10178
 
8.7%
) 9049
 
7.7%
( 9048
 
7.7%
2 7227
 
6.2%
, 7200
 
6.2%
3 5124
 
4.4%
0 4317
 
3.7%
4 3696
 
3.2%
5 3385
 
2.9%
Other values (13) 11754
 
10.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 166179
58.6%
ASCII 117481
41.4%
Number Forms 3
 
< 0.1%
None 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
45970
39.1%
1 10178
 
8.7%
) 9049
 
7.7%
( 9048
 
7.7%
2 7227
 
6.2%
, 7200
 
6.1%
3 5124
 
4.4%
0 4317
 
3.7%
4 3696
 
3.1%
5 3385
 
2.9%
Other values (52) 12287
 
10.5%
Hangul
ValueCountFrequency (%)
동 12133
 
7.3%
부 11816
 
7.1%
산 11672
 
7.0%
광 9773
 
5.9%
시 9695
 
5.8%
구 9612
 
5.8%
역 9221
 
5.5%
로 9111
 
5.5%
대 4872
 
2.9%
층 3802
 
2.3%
Other values (497) 74472
44.8%
Number Forms
ValueCountFrequency (%)
Ⅱ 3
100.0%
None
ValueCountFrequency (%)
· 3
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct1963
Distinct (%)24.9%
Missing2128
Missing (%)21.3%
Infinite0
Infinite (%)0.0%
Mean117363.49
Minimum42761
Maximum619963
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-17T01:45:32.107869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum42761
5-th percentile46230
Q147209.75
median48000
Q348812.25
95-th percentile612824
Maximum619963
Range577202
Interquartile range (IQR)1602.5

Descriptive statistics

Standard deviation185438.61
Coefficient of variation (CV)1.5800367
Kurtosis3.2367365
Mean117363.49
Median Absolute Deviation (MAD)795
Skewness2.2879868
Sum9.2388538 × 108
Variance3.4387479 × 1010
MonotonicityNot monotonic
2024-04-17T01:45:32.223675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48060 52
 
0.5%
48059 41
 
0.4%
47257 35
 
0.4%
47542 35
 
0.4%
48092 33
 
0.3%
48445 32
 
0.3%
48095 32
 
0.3%
46988 29
 
0.3%
48104 28
 
0.3%
48735 27
 
0.3%
Other values (1953) 7528
75.3%
(Missing) 2128
 
21.3%
ValueCountFrequency (%)
42761 1
 
< 0.1%
46002 2
 
< 0.1%
46004 2
 
< 0.1%
46007 5
 
0.1%
46008 9
0.1%
46010 1
 
< 0.1%
46012 3
 
< 0.1%
46013 4
 
< 0.1%
46014 2
 
< 0.1%
46015 17
0.2%
ValueCountFrequency (%)
619963 2
 
< 0.1%
619961 3
 
< 0.1%
619953 1
 
< 0.1%
619912 2
 
< 0.1%
619906 3
 
< 0.1%
619905 7
0.1%
619904 1
 
< 0.1%
619903 11
0.1%
619901 1
 
< 0.1%
619745 1
 
< 0.1%

사업장명
Text

Distinct8314
Distinct (%)83.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-17T01:45:32.476698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length31
Mean length7.3015
Min length1

Characters and Unicode

Total characters73015
Distinct characters798
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7424 ?
Unique (%)74.2%

Sample

1st row아이엠디
2nd rowG.L KOREA
3rd row구포부민병원매점
4th row㈜하이프라자 개금점
5th row세기보청기
ValueCountFrequency (%)
주식회사 339
 
2.7%
세븐일레븐 143
 
1.1%
gs25 124
 
1.0%
씨유 106
 
0.8%
메디칼 74
 
0.6%
의료기 45
 
0.4%
신신의료기 44
 
0.3%
주)하이프라자 44
 
0.3%
씨제이올리브영(주 41
 
0.3%
주)코리아세븐 37
 
0.3%
Other values (8413) 11755
92.2%
2024-04-17T01:45:33.112057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2752
 
3.8%
메 2429
 
3.3%
디 2404
 
3.3%
점 2050
 
2.8%
이 1892
 
2.6%
스 1828
 
2.5%
주 1734
 
2.4%
) 1561
 
2.1%
( 1541
 
2.1%
기 1444
 
2.0%
Other values (788) 53380
73.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 62335
85.4%
Space Separator 2752
 
3.8%
Uppercase Letter 2675
 
3.7%
Close Punctuation 1561
 
2.1%
Open Punctuation 1541
 
2.1%
Decimal Number 929
 
1.3%
Lowercase Letter 836
 
1.1%
Other Symbol 200
 
0.3%
Other Punctuation 157
 
0.2%
Dash Punctuation 24
 
< 0.1%
Other values (3) 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
메 2429
 
3.9%
디 2404
 
3.9%
점 2050
 
3.3%
이 1892
 
3.0%
스 1828
 
2.9%
주 1734
 
2.8%
기 1444
 
2.3%
칼 1387
 
2.2%
의 1088
 
1.7%
료 1047
 
1.7%
Other values (712) 45032
72.2%
Uppercase Letter
ValueCountFrequency (%)
S 516
19.3%
G 364
13.6%
C 292
10.9%
M 211
 
7.9%
U 181
 
6.8%
B 115
 
4.3%
H 108
 
4.0%
D 105
 
3.9%
K 95
 
3.6%
E 92
 
3.4%
Other values (16) 596
22.3%
Lowercase Letter
ValueCountFrequency (%)
e 123
14.7%
a 82
9.8%
i 78
 
9.3%
n 71
 
8.5%
o 64
 
7.7%
d 52
 
6.2%
t 49
 
5.9%
c 41
 
4.9%
r 40
 
4.8%
m 38
 
4.5%
Other values (14) 198
23.7%
Decimal Number
ValueCountFrequency (%)
2 383
41.2%
5 372
40.0%
1 52
 
5.6%
3 51
 
5.5%
0 31
 
3.3%
4 18
 
1.9%
6 11
 
1.2%
7 4
 
0.4%
8 4
 
0.4%
9 3
 
0.3%
Other Punctuation
ValueCountFrequency (%)
. 82
52.2%
& 51
32.5%
, 10
 
6.4%
/ 7
 
4.5%
· 3
 
1.9%
? 2
 
1.3%
' 1
 
0.6%
# 1
 
0.6%
Space Separator
ValueCountFrequency (%)
2752
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1561
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1541
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 200
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 2
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 62529
85.6%
Common 6969
 
9.5%
Latin 3511
 
4.8%
Han 6
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
메 2429
 
3.9%
디 2404
 
3.8%
점 2050
 
3.3%
이 1892
 
3.0%
스 1828
 
2.9%
주 1734
 
2.8%
기 1444
 
2.3%
칼 1387
 
2.2%
의 1088
 
1.7%
료 1047
 
1.7%
Other values (708) 45226
72.3%
Latin
ValueCountFrequency (%)
S 516
 
14.7%
G 364
 
10.4%
C 292
 
8.3%
M 211
 
6.0%
U 181
 
5.2%
e 123
 
3.5%
B 115
 
3.3%
H 108
 
3.1%
D 105
 
3.0%
K 95
 
2.7%
Other values (40) 1401
39.9%
Common
ValueCountFrequency (%)
2752
39.5%
) 1561
22.4%
( 1541
22.1%
2 383
 
5.5%
5 372
 
5.3%
. 82
 
1.2%
1 52
 
0.7%
& 51
 
0.7%
3 51
 
0.7%
0 31
 
0.4%
Other values (15) 93
 
1.3%
Han
ValueCountFrequency (%)
新 2
33.3%
大 1
16.7%
昊 1
16.7%
百 1
16.7%
碩 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 62329
85.4%
ASCII 10476
 
14.3%
None 203
 
0.3%
CJK 6
 
< 0.1%
Punctuation 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2752
26.3%
) 1561
14.9%
( 1541
14.7%
S 516
 
4.9%
2 383
 
3.7%
5 372
 
3.6%
G 364
 
3.5%
C 292
 
2.8%
M 211
 
2.0%
U 181
 
1.7%
Other values (63) 2303
22.0%
Hangul
ValueCountFrequency (%)
메 2429
 
3.9%
디 2404
 
3.9%
점 2050
 
3.3%
이 1892
 
3.0%
스 1828
 
2.9%
주 1734
 
2.8%
기 1444
 
2.3%
칼 1387
 
2.2%
의 1088
 
1.7%
료 1047
 
1.7%
Other values (707) 45026
72.2%
None
ValueCountFrequency (%)
㈜ 200
98.5%
· 3
 
1.5%
CJK
ValueCountFrequency (%)
新 2
33.3%
大 1
16.7%
昊 1
16.7%
百 1
16.7%
碩 1
16.7%
Punctuation
ValueCountFrequency (%)
’ 1
100.0%

최종수정시점
Real number (ℝ)

Distinct9827
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0154478 × 1013
Minimum2.0081008 × 1013
Maximum2.0210227 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-17T01:45:33.232911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0081008 × 1013
5-th percentile2.0090216 × 1013
Q12.0130221 × 1013
median2.0160512 × 1013
Q32.0190124 × 1013
95-th percentile2.0201028 × 1013
Maximum2.0210227 × 1013
Range1.2921893 × 1011
Interquartile range (IQR)5.9903306 × 1010

Descriptive statistics

Standard deviation3.5993508 × 1010
Coefficient of variation (CV)0.0017858814
Kurtosis-0.92128522
Mean2.0154478 × 1013
Median Absolute Deviation (MAD)2.9810034 × 1010
Skewness-0.37100009
Sum2.0154478 × 1017
Variance1.2955326 × 1021
MonotonicityNot monotonic
2024-04-17T01:45:33.357964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20081201183101 30
 
0.3%
20081201183056 25
 
0.2%
20081201183059 22
 
0.2%
20081201183058 19
 
0.2%
20081201183102 14
 
0.1%
20081201183100 9
 
0.1%
20081215160946 8
 
0.1%
20081215160951 8
 
0.1%
20081201183055 8
 
0.1%
20081215160952 8
 
0.1%
Other values (9817) 9849
98.5%
ValueCountFrequency (%)
20081008173244 1
< 0.1%
20081027175306 1
< 0.1%
20081107180726 1
< 0.1%
20081114101753 1
< 0.1%
20081117153625 1
< 0.1%
20081117154840 1
< 0.1%
20081117155040 1
< 0.1%
20081117155413 1
< 0.1%
20081117160026 1
< 0.1%
20081117164342 1
< 0.1%
ValueCountFrequency (%)
20210227104501 1
< 0.1%
20210226163025 1
< 0.1%
20210226162907 1
< 0.1%
20210226162102 1
< 0.1%
20210226160957 1
< 0.1%
20210226160939 1
< 0.1%
20210226160921 1
< 0.1%
20210226160900 1
< 0.1%
20210226160707 1
< 0.1%
20210226154239 1
< 0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
I
8285 
U
1715 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 8285
82.8%
U 1715
 
17.2%

Length

2024-04-17T01:45:33.472308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T01:45:33.549445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 8285
82.8%
u 1715
 
17.2%

데이터갱신일자
Date

Distinct1010
Distinct (%)10.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2018-08-31 23:59:59
Maximum2021-03-02 02:40:00
2024-04-17T01:45:33.643095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T01:45:33.760417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct5929
Distinct (%)64.5%
Missing804
Missing (%)8.0%
Infinite0
Infinite (%)0.0%
Mean388218.83
Minimum210912.3
Maximum407504
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-17T01:45:33.901964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum210912.3
5-th percentile379912.89
Q1385172.47
median388547.45
Q3391167.65
95-th percentile397500.34
Maximum407504
Range196591.7
Interquartile range (IQR)5995.183

Descriptive statistics

Standard deviation5468.6132
Coefficient of variation (CV)0.014086419
Kurtosis121.38656
Mean388218.83
Median Absolute Deviation (MAD)2961.5747
Skewness-3.8688397
Sum3.5700604 × 109
Variance29905730
MonotonicityNot monotonic
2024-04-17T01:45:34.043225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
380482.767624189 35
 
0.4%
395615.201853958 28
 
0.3%
388957.42402057 28
 
0.3%
387225.613588405 22
 
0.2%
391411.212179843 22
 
0.2%
387271.299492377 21
 
0.2%
396180.621244719 21
 
0.2%
385585.321891141 20
 
0.2%
387539.767677801 20
 
0.2%
385590.814676765 20
 
0.2%
Other values (5919) 8959
89.6%
(Missing) 804
 
8.0%
ValueCountFrequency (%)
210912.298397326 1
< 0.1%
336604.0 1
< 0.1%
343658.963968 1
< 0.1%
364927.696730227 1
< 0.1%
365435.915352944 1
< 0.1%
366982.00333594 1
< 0.1%
367076.803601292 1
< 0.1%
367160.430236219 1
< 0.1%
367897.480797822 1
< 0.1%
367948.46831947 1
< 0.1%
ValueCountFrequency (%)
407504.0 1
< 0.1%
407036.0 1
< 0.1%
404651.27255533 1
< 0.1%
404368.189766908 1
< 0.1%
404248.383702356 1
< 0.1%
404092.863391 1
< 0.1%
403987.053318853 1
< 0.1%
403982.021007721 1
< 0.1%
403876.817171688 1
< 0.1%
403779.830056273 1
< 0.1%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct5931
Distinct (%)64.5%
Missing804
Missing (%)8.0%
Infinite0
Infinite (%)0.0%
Mean187741.26
Minimum169703.39
Maximum424655.49
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-17T01:45:34.188164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum169703.39
5-th percentile179357.84
Q1184109.21
median187411.83
Q3191148.19
95-th percentile197422.83
Maximum424655.49
Range254952.09
Interquartile range (IQR)7038.9746

Descriptive statistics

Standard deviation6140.2348
Coefficient of variation (CV)0.032705836
Kurtosis244.84627
Mean187741.26
Median Absolute Deviation (MAD)3543.0979
Skewness6.8407497
Sum1.7264686 × 109
Variance37702483
MonotonicityNot monotonic
2024-04-17T01:45:34.334531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
185582.274947583 35
 
0.4%
188908.124798577 28
 
0.3%
186406.750870936 28
 
0.3%
184052.409245407 22
 
0.2%
186408.726533861 22
 
0.2%
186522.35047527 21
 
0.2%
186099.137533193 21
 
0.2%
179553.867031936 20
 
0.2%
181149.765235809 20
 
0.2%
184402.96650913 20
 
0.2%
Other values (5921) 8959
89.6%
(Missing) 804
 
8.0%
ValueCountFrequency (%)
169703.393912171 1
< 0.1%
170813.584718477 1
< 0.1%
171677.306052053 1
< 0.1%
173751.794345377 1
< 0.1%
173895.655729558 1
< 0.1%
173942.787360397 1
< 0.1%
173967.938083685 1
< 0.1%
174087.295724335 1
< 0.1%
174148.956142084 2
< 0.1%
174209.665999624 2
< 0.1%
ValueCountFrequency (%)
424655.485528575 1
< 0.1%
264477.429047 1
< 0.1%
258483.0 1
< 0.1%
211459.001777975 1
< 0.1%
208447.093077814 1
< 0.1%
207372.0 1
< 0.1%
206576.725149 1
< 0.1%
206426.679067 1
< 0.1%
206423.253753 1
< 0.1%
206331.394785486 1
< 0.1%

수리대상 의료기기의 유형
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

다른 겸업 여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

총규모
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

영업규모
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

Unnamed: 32
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)수리대상 의료기기의 유형다른 겸업 여부총규모영업규모Unnamed: 32
129130의료기기판매(임대)업01_02_03_P3250000PHMG12011325002104700001220110228<NA>3폐업3폐업20120120<NA><NA><NA><NA><NA>600022부산광역시 중구 동광동2가 16번지 5호 동남빌딩 105호부산광역시 중구 대청로126번길 23 (동광동2가,동남빌딩 105호)<NA>아이엠디20120120111107I2018-08-31 23:59:59.0<NA>385421.241947179867.079396<NA><NA><NA><NA><NA>
47654766의료기기판매(임대)업01_02_03_P3390000PHMG12003339002304700000420030617<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 사상구 학장동 237-27부산광역시 사상구 대동로179번길 13 (학장동)617844G.L KOREA20111213180537I2018-08-31 23:59:59.0<NA>380663.552635184484.568531<NA><NA><NA><NA><NA>
86528653의료기기판매(임대)업01_02_03_P3320000PHMG12009332004504700000720090313<NA>1영업/정상13영업중<NA><NA><NA><NA>051-303-3771<NA>616807부산광역시 북구 구포2동 1121번지 1호 구포구민병원 내 1층부산광역시 북구 사상로 605 (구포동)46504구포부민병원매점20120109165049I2018-08-31 23:59:59.0<NA>381214.353387190598.309892<NA><NA><NA><NA><NA>
27692770의료기기판매(임대)업01_02_03_P3290000PHMG12008329002404700002420080415<NA>3폐업3폐업20180829<NA><NA><NA>051-896-7747<NA>614811부산광역시 부산진구 개금동 444번지 7호부산광역시 부산진구 가야대로443번길 29 (개금동)47266㈜하이프라자 개금점20180830112814I2018-08-31 23:59:59.0<NA>384068.662939185820.229806<NA><NA><NA><NA><NA>
25052506의료기기판매(임대)업01_02_03_P3290000PHMG11998329002404700000419980707<NA>3폐업3폐업20210118<NA><NA><NA>051-818-0016<NA>614845부산광역시 부산진구 부전동 155번지 6호부산광역시 부산진구 중앙대로 726 (부전동)47291세기보청기20210118142043U2021-01-20 02:40:00.0<NA>387632.774221186198.741969<NA><NA><NA><NA><NA>
41904191의료기기판매(임대)업01_02_03_P3310000PHMG12016331002404700004620161122<NA>1영업/정상13영업중<NA><NA><NA><NA>051-853-4888<NA><NA><NA>부산광역시 남구 수영로 237, 501-1호 (대연동, 대연메디타워)48445해피라이프20161123101307I2018-08-31 23:59:59.0<NA>390658.47336183813.272387<NA><NA><NA><NA><NA>
73077308의료기기판매(임대)업01_02_03_P3340000PHMG12014334002504700002220141014<NA>3폐업3폐업20150626<NA><NA><NA><NA><NA>604823부산광역시 사하구 다대동 933번지 25호부산광역시 사하구 윤공단로14번길 62, 2층 (다대동)604823라파힐링센터20150626140252I2018-08-31 23:59:59.0<NA>379669.677643174947.970238<NA><NA><NA><NA><NA>
389390의료기기판매(임대)업01_02_03_P3300000PHMG12017330002404700000320170119<NA>3폐업3폐업20191211<NA><NA><NA><NA><NA><NA>부산광역시 동래구 명륜동 401번지 9호부산광역시 동래구 명륜로94번길 23, 3층 (명륜동)47814엘림샵 동래점20191216154412U2019-12-18 02:40:00.0<NA>389694.133545191336.154581<NA><NA><NA><NA><NA>
804805의료기기판매(임대)업01_02_03_P3300000PHMG12011330002404700003520110609<NA>3폐업3폐업20131218<NA><NA><NA><NA><NA>607837부산광역시 동래구 온천2동 1129번지 4호 대동APT 상가동 301호부산광역시 동래구 금정마을로 120 (온천동,대동APT 상가동 301호)607837부경메디칼20131218172413I2018-08-31 23:59:59.0<NA>388100.30129192130.913902<NA><NA><NA><NA><NA>
25962597의료기기판매(임대)업01_02_03_P3290000PHMG12014329002404700014220161216<NA>3폐업3폐업20161201<NA><NA><NA>051-808-7490<NA>614847부산광역시 부산진구 부전동 255번지 40호부산광역시 부산진구 중앙대로 707 (부전동)47286씨유 서면대로점20161216145410I2018-08-31 23:59:59.0<NA>387529.426357186016.604294<NA><NA><NA><NA><NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)수리대상 의료기기의 유형다른 겸업 여부총규모영업규모Unnamed: 32
75107511의료기기판매(임대)업01_02_03_P3340000PHMG12006334002504700001320060914<NA>3폐업3폐업20170228<NA><NA><NA><NA><NA>604850부산광역시 사하구 하단동 589번지 33호부산광역시 사하구 낙동남로 1408 (하단동)<NA>그린하우스20170228133145I2018-08-31 23:59:59.0<NA>379150.87194180303.14704<NA><NA><NA><NA><NA>
93559356의료기기판매(임대)업01_02_03_P3330000PHMG12014333002404700002620140715<NA>3폐업3폐업20150331<NA><NA><NA>523-2276<NA>612798부산광역시 해운대구 반여동 1174번지 1호부산광역시 해운대구 삼어로 55, 105호 (반여동, 명장sk아파트 상가)612798힐링센타 부산반여점20150331150703I2018-08-31 23:59:59.0<NA>392486.705412191334.301858<NA><NA><NA><NA><NA>
434435의료기기판매(임대)업01_02_03_P3300000PHMG12012330002404700004120120621<NA>3폐업3폐업20170601<NA><NA><NA>051-558-7535<NA>607804부산광역시 동래구 명륜동 533번지 170호부산광역시 동래구 명륜로129번길 55 (명륜동)47736(주)왓슨스코리아 동래점20170601113702I2018-08-31 23:59:59.0<NA>389329.318552191838.94394<NA><NA><NA><NA><NA>
11191120의료기기판매(임대)업01_02_03_P3300000PHMG12014330002404700003320140724<NA>1영업/정상13영업중<NA><NA><NA><NA>817-0318<NA>607842부산광역시 동래구 온천동 1413번지 6호부산광역시 동래구 아시아드대로228번길 14, 302호 (온천동)47837현대헬스케어20140724103027I2018-08-31 23:59:59.0<NA>388235.811952191334.579367<NA><NA><NA><NA><NA>
33903391의료기기판매(임대)업01_02_03_P3290000PHMG12008329002404700006120081112<NA>1영업/정상13영업중<NA><NA><NA><NA>0518098636<NA>614043부산광역시 부산진구 전포동 664번지 6호부산광역시 부산진구 서전로37번길 26 (전포동)<NA>시온메디칼20090507094312I2018-08-31 23:59:59.0<NA>388014.861813186366.081928<NA><NA><NA><NA><NA>
388389의료기기판매(임대)업01_02_03_P3300000PHMG12016330002404700005720161223<NA>3폐업3폐업20180430<NA><NA><NA><NA><NA><NA>부산광역시 동래구 온천동 1277번지 3호 스마트빌 202호부산광역시 동래구 아시아드대로 253-3, 2층 202호 (온천동, 스마트빌)47846가온누리의료기20190312141409U2019-03-14 02:40:00.0<NA>388263.099042191629.530957<NA><NA><NA><NA><NA>
33323333의료기기판매(임대)업01_02_03_P3290000PHMG12010329002404700005720101118<NA>1영업/정상13영업중<NA><NA><NA><NA>051-867-1770<NA>614809부산광역시 부산진구 개금3동 10번지 성도아파트상가 201호부산광역시 부산진구 개금본동로22번길 31, 201호 (개금동, 성도아파트 상가 )47169케미광학(주)20140822150349I2018-08-31 23:59:59.0<NA>384295.365476186475.9822<NA><NA><NA><NA><NA>
35923593의료기기판매(임대)업01_02_03_P3290000PHMG12021329002404700001120210126<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 부산진구 부전동 474-80 유원 골든타워 오피스텔부산광역시 부산진구 서면문화로 27, 유원 골든타워 오피스텔 지하1층 114호 (부전동)47257주식회사 한빛20210205100650U2021-02-07 02:40:00.0<NA>387225.613588186408.726534<NA><NA><NA><NA><NA>
60396040의료기기판매(임대)업01_02_03_P3350000PHMG12014335002404700003720141030<NA>3폐업3폐업20161230<NA><NA><NA>508-6038<NA>609843부산광역시 금정구 청룡동 8번지 1호부산광역시 금정구 중앙대로 2120, 1층 104호 (청룡동, 협성엠파이어아파트상가)46213씨유 범어사역점20161230133338I2018-08-31 23:59:59.0<NA>390379.107677199129.789292<NA><NA><NA><NA><NA>
57705771의료기기판매(임대)업01_02_03_P3270000PHMG12015327002204700002220150925<NA>1영업/정상13영업중<NA><NA><NA><NA>254-4552<NA><NA>부산광역시 동구 수정동 844번지 3호부산광역시 동구 수정로 27, 2층 (수정동)48783잇닿을연20191008163752U2019-10-10 02:40:00.0<NA>386352.599291183293.825242<NA><NA><NA><NA><NA>