Overview

Dataset statistics

Number of variables34
Number of observations388
Missing cells4605
Missing cells (%)34.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory111.1 KiB
Average record size in memory293.3 B

Variable types

Numeric11
Categorical7
Unsupported9
Text6
DateTime1

Dataset

Description2021-05-01
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20230901050101123145

Alerts

개방서비스명 has constant value ""Constant
개방서비스id has constant value ""Constant
인허가취소일자 has 388 (100.0%) missing valuesMissing
폐업일자 has 333 (85.8%) missing valuesMissing
휴업시작일자 has 388 (100.0%) missing valuesMissing
휴업종료일자 has 388 (100.0%) missing valuesMissing
재개업일자 has 388 (100.0%) missing valuesMissing
소재지전화 has 236 (60.8%) missing valuesMissing
소재지면적 has 388 (100.0%) missing valuesMissing
소재지우편번호 has 388 (100.0%) missing valuesMissing
소재지전체주소 has 35 (9.0%) missing valuesMissing
도로명전체주소 has 37 (9.5%) missing valuesMissing
도로명우편번호 has 279 (71.9%) missing valuesMissing
업태구분명 has 388 (100.0%) missing valuesMissing
좌표정보(x) has 31 (8.0%) missing valuesMissing
좌표정보(y) has 31 (8.0%) missing valuesMissing
사용목적 has 14 (3.6%) missing valuesMissing
사용방법 has 43 (11.1%) missing valuesMissing
월사용량 has 32 (8.2%) missing valuesMissing
수용정원수 has 42 (10.8%) missing valuesMissing
시설사용여부 has 388 (100.0%) missing valuesMissing
Unnamed: 33 has 388 (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
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 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
소재지우편번호 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
시설사용여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 33 is an unsupported type, check if it needs cleaning or further analysisUnsupported
월사용량 has 17 (4.4%) zerosZeros
수용정원수 has 37 (9.5%) zerosZeros

Reproduction

Analysis started2024-04-17 05:07:04.557360
Analysis finished2024-04-17 05:07:05.210128
Duration0.65 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct388
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean194.5
Minimum1
Maximum388
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-04-17T14:07:05.271958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile20.35
Q197.75
median194.5
Q3291.25
95-th percentile368.65
Maximum388
Range387
Interquartile range (IQR)193.5

Descriptive statistics

Standard deviation112.1502
Coefficient of variation (CV)0.5766077
Kurtosis-1.2
Mean194.5
Median Absolute Deviation (MAD)97
Skewness0
Sum75466
Variance12577.667
MonotonicityStrictly increasing
2024-04-17T14:07:05.395957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
245 1
 
0.3%
267 1
 
0.3%
266 1
 
0.3%
265 1
 
0.3%
264 1
 
0.3%
263 1
 
0.3%
262 1
 
0.3%
261 1
 
0.3%
260 1
 
0.3%
Other values (378) 378
97.4%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
388 1
0.3%
387 1
0.3%
386 1
0.3%
385 1
0.3%
384 1
0.3%
383 1
0.3%
382 1
0.3%
381 1
0.3%
380 1
0.3%
379 1
0.3%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
특정고압가스업
388 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
특정고압가스업 388
100.0%

Length

2024-04-17T14:07:05.510165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:07:05.588319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
특정고압가스업 388
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
09_28_14_P
388 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row09_28_14_P
2nd row09_28_14_P
3rd row09_28_14_P
4th row09_28_14_P
5th row09_28_14_P

Common Values

ValueCountFrequency (%)
09_28_14_P 388
100.0%

Length

2024-04-17T14:07:05.670408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:07:05.747252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
09_28_14_p 388
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3340180.4
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-04-17T14:07:05.820786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3250000
5-th percentile3260000
Q13310000
median3340000
Q33372500
95-th percentile3400000
Maximum3400000
Range150000
Interquartile range (IQR)62500

Descriptive statistics

Standard deviation41343.315
Coefficient of variation (CV)0.012377569
Kurtosis-0.75880228
Mean3340180.4
Median Absolute Deviation (MAD)30000
Skewness-0.43367426
Sum1.29599 × 109
Variance1.7092697 × 109
MonotonicityNot monotonic
2024-04-17T14:07:05.926893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3340000 67
17.3%
3360000 61
15.7%
3390000 53
13.7%
3400000 24
 
6.2%
3280000 24
 
6.2%
3290000 22
 
5.7%
3330000 21
 
5.4%
3380000 20
 
5.2%
3320000 17
 
4.4%
3350000 16
 
4.1%
Other values (6) 63
16.2%
ValueCountFrequency (%)
3250000 8
 
2.1%
3260000 14
 
3.6%
3270000 9
 
2.3%
3280000 24
 
6.2%
3290000 22
 
5.7%
3300000 10
 
2.6%
3310000 15
 
3.9%
3320000 17
 
4.4%
3330000 21
 
5.4%
3340000 67
17.3%
ValueCountFrequency (%)
3400000 24
 
6.2%
3390000 53
13.7%
3380000 20
 
5.2%
3370000 7
 
1.8%
3360000 61
15.7%
3350000 16
 
4.1%
3340000 67
17.3%
3330000 21
 
5.4%
3320000 17
 
4.4%
3310000 15
 
3.9%

관리번호
Real number (ℝ)

UNIQUE 

Distinct388
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0074912 × 1018
Minimum1.973335 × 1018
Maximum2.021338 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-04-17T14:07:06.045841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.973335 × 1018
5-th percentile1.979328 × 1018
Q12.0010783 × 1018
median2.010338 × 1018
Q32.0183323 × 1018
95-th percentile2.01934 × 1018
Maximum2.021338 × 1018
Range4.8003 × 1016
Interquartile range (IQR)1.7254009 × 1016

Descriptive statistics

Standard deviation1.2242077 × 1016
Coefficient of variation (CV)0.0060981968
Kurtosis0.12765609
Mean2.0074912 × 1018
Median Absolute Deviation (MAD)8.0000008 × 1015
Skewness-1.0016689
Sum4.1433504 × 1018
Variance1.4986844 × 1032
MonotonicityNot monotonic
2024-04-17T14:07:06.168611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2017340010912200004 1
 
0.3%
2019336014512200005 1
 
0.3%
2004336001302700002 1
 
0.3%
2010336008212200002 1
 
0.3%
2004336001302700003 1
 
0.3%
2004336001302700004 1
 
0.3%
2006336001302700001 1
 
0.3%
2007336006902700001 1
 
0.3%
2007336006912200001 1
 
0.3%
2007336006912200002 1
 
0.3%
Other values (378) 378
97.4%
ValueCountFrequency (%)
1973335008012200001 1
0.3%
1973335008012200002 1
0.3%
1975325001402700001 1
0.3%
1976327001402700007 1
0.3%
1977328001502700001 1
0.3%
1977328001502700002 1
0.3%
1977328001502700003 1
0.3%
1977328001502700004 1
0.3%
1977333001502700001 1
0.3%
1978328001502700001 1
0.3%
ValueCountFrequency (%)
2021338008212200001 1
0.3%
2021337010612200001 1
0.3%
2021331011912200001 1
0.3%
2020340010912200001 1
0.3%
2020339009112200001 1
0.3%
2020338008212200001 1
0.3%
2020336014512200004 1
0.3%
2020336014512200003 1
0.3%
2020336014512200002 1
0.3%
2020336014512200001 1
0.3%

인허가일자
Real number (ℝ)

Distinct348
Distinct (%)89.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20071986
Minimum19730801
Maximum20210323
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-04-17T14:07:06.308860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19730801
5-th percentile19790614
Q120000984
median20105608
Q320180737
95-th percentile20191209
Maximum20210323
Range479522
Interquartile range (IQR)179753.25

Descriptive statistics

Standard deviation123033.75
Coefficient of variation (CV)0.006129625
Kurtosis0.07448264
Mean20071986
Median Absolute Deviation (MAD)75500.5
Skewness-0.99389429
Sum7.7879305 × 109
Variance1.5137303 × 1010
MonotonicityNot monotonic
2024-04-17T14:07:06.426787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20180913 4
 
1.0%
20190612 4
 
1.0%
19790607 3
 
0.8%
20190213 3
 
0.8%
20040513 3
 
0.8%
20170123 3
 
0.8%
20031027 2
 
0.5%
20180426 2
 
0.5%
20170518 2
 
0.5%
20200424 2
 
0.5%
Other values (338) 360
92.8%
ValueCountFrequency (%)
19730801 1
0.3%
19731005 1
0.3%
19750529 1
0.3%
19761207 1
0.3%
19770527 1
0.3%
19771205 1
0.3%
19771221 1
0.3%
19771222 2
0.5%
19780117 2
0.5%
19780309 1
0.3%
ValueCountFrequency (%)
20210323 1
0.3%
20210312 1
0.3%
20210311 1
0.3%
20201229 2
0.5%
20201222 1
0.3%
20201110 1
0.3%
20200904 1
0.3%
20200521 1
0.3%
20200427 1
0.3%
20200424 2
0.5%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing388
Missing (%)100.0%
Memory size3.5 KiB

영업상태구분코드
Categorical

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
1
192 
2
136 
3
60 

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 (%)
1 192
49.5%
2 136
35.1%
3 60
 
15.5%

Length

2024-04-17T14:07:06.533236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:07:06.629848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 192
49.5%
2 136
35.1%
3 60
 
15.5%

영업상태명
Categorical

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
영업/정상
192 
휴업
136 
폐업
60 

Length

Max length5
Median length2
Mean length3.4845361
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 192
49.5%
휴업 136
35.1%
폐업 60
 
15.5%

Length

2024-04-17T14:07:06.728670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:07:06.814146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 192
49.5%
휴업 136
35.1%
폐업 60
 
15.5%

상세영업상태코드
Categorical

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
BBBB
192 
1
136 
2
60 

Length

Max length4
Median length1
Mean length2.4845361
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
BBBB 192
49.5%
1 136
35.1%
2 60
 
15.5%

Length

2024-04-17T14:07:06.911946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:07:06.998178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
bbbb 192
49.5%
1 136
35.1%
2 60
 
15.5%

상세영업상태명
Categorical

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
<NA>
192 
휴업처리
136 
폐업처리
60 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 192
49.5%
휴업처리 136
35.1%
폐업처리 60
 
15.5%

Length

2024-04-17T14:07:07.086773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:07:07.170490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 192
49.5%
휴업처리 136
35.1%
폐업처리 60
 
15.5%

폐업일자
Real number (ℝ)

MISSING 

Distinct50
Distinct (%)90.9%
Missing333
Missing (%)85.8%
Infinite0
Infinite (%)0.0%
Mean19660431
Minimum11111111
Maximum20201229
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-04-17T14:07:07.275815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11111111
5-th percentile17354698
Q120130760
median20161128
Q320190263
95-th percentile20201043
Maximum20201229
Range9090118
Interquartile range (IQR)59503.5

Descriptive statistics

Standard deviation2072889.2
Coefficient of variation (CV)0.10543457
Kurtosis14.79419
Mean19660431
Median Absolute Deviation (MAD)29393
Skewness-4.0308549
Sum1.0813237 × 109
Variance4.2968694 × 1012
MonotonicityNot monotonic
2024-04-17T14:07:07.389854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11111111 3
 
0.8%
20161128 2
 
0.5%
20190603 2
 
0.5%
20170921 2
 
0.5%
20140528 1
 
0.3%
20090511 1
 
0.3%
20190919 1
 
0.3%
20170911 1
 
0.3%
20201016 1
 
0.3%
20181022 1
 
0.3%
Other values (40) 40
 
10.3%
(Missing) 333
85.8%
ValueCountFrequency (%)
11111111 3
0.8%
20030521 1
 
0.3%
20030828 1
 
0.3%
20051231 1
 
0.3%
20061127 1
 
0.3%
20070627 1
 
0.3%
20070704 1
 
0.3%
20090511 1
 
0.3%
20091007 1
 
0.3%
20110930 1
 
0.3%
ValueCountFrequency (%)
20201229 1
0.3%
20201110 1
0.3%
20201105 1
0.3%
20201016 1
0.3%
20200521 1
0.3%
20200316 1
0.3%
20190919 1
0.3%
20190813 1
0.3%
20190704 1
0.3%
20190613 1
0.3%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing388
Missing (%)100.0%
Memory size3.5 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing388
Missing (%)100.0%
Memory size3.5 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing388
Missing (%)100.0%
Memory size3.5 KiB

소재지전화
Text

MISSING 

Distinct142
Distinct (%)93.4%
Missing236
Missing (%)60.8%
Memory size3.2 KiB
2024-04-17T14:07:07.603626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length11.164474
Min length11

Characters and Unicode

Total characters1697
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique134 ?
Unique (%)88.2%

Sample

1st row051 7276911
2nd row051 7285333
3rd row051 3227771
4th row051 7093000
5th row051 9738081
ValueCountFrequency (%)
051 121
44.3%
7276911 3
 
1.1%
6300300 3
 
1.1%
005104126161 2
 
0.7%
2071975 2
 
0.7%
6431156 2
 
0.7%
5150661 2
 
0.7%
7042555 2
 
0.7%
8311801 2
 
0.7%
005108312291 1
 
0.4%
Other values (133) 133
48.7%
2024-04-17T14:07:07.928857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 369
21.7%
1 322
19.0%
5 258
15.2%
2 128
 
7.5%
121
 
7.1%
3 103
 
6.1%
4 99
 
5.8%
6 92
 
5.4%
7 79
 
4.7%
8 78
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1576
92.9%
Space Separator 121
 
7.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 369
23.4%
1 322
20.4%
5 258
16.4%
2 128
 
8.1%
3 103
 
6.5%
4 99
 
6.3%
6 92
 
5.8%
7 79
 
5.0%
8 78
 
4.9%
9 48
 
3.0%
Space Separator
ValueCountFrequency (%)
121
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1697
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 369
21.7%
1 322
19.0%
5 258
15.2%
2 128
 
7.5%
121
 
7.1%
3 103
 
6.1%
4 99
 
5.8%
6 92
 
5.4%
7 79
 
4.7%
8 78
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1697
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 369
21.7%
1 322
19.0%
5 258
15.2%
2 128
 
7.5%
121
 
7.1%
3 103
 
6.1%
4 99
 
5.8%
6 92
 
5.4%
7 79
 
4.7%
8 78
 
4.6%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing388
Missing (%)100.0%
Memory size3.5 KiB

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing388
Missing (%)100.0%
Memory size3.5 KiB

소재지전체주소
Text

MISSING 

Distinct327
Distinct (%)92.6%
Missing35
Missing (%)9.0%
Memory size3.2 KiB
2024-04-17T14:07:08.188944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length32
Mean length22.645892
Min length13

Characters and Unicode

Total characters7994
Distinct characters211
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique305 ?
Unique (%)86.4%

Sample

1st row부산광역시 기장군 일광면 이천리 123
2nd row부산광역시 기장군 장안읍 월내리 산 1-9번지번지
3rd row부산광역시 기장군 정관면 예림리 940-4번지
4th row부산광역시 기장군 기장읍 시랑리 709번지
5th row부산광역시 사상구 괘법동 558-5번지 서부산센텀병원
ValueCountFrequency (%)
부산광역시 353
23.1%
사하구 61
 
4.0%
강서구 60
 
3.9%
송정동 44
 
2.9%
사상구 42
 
2.8%
기장군 24
 
1.6%
영도구 23
 
1.5%
부산진구 22
 
1.4%
다대동 20
 
1.3%
수영구 20
 
1.3%
Other values (496) 856
56.1%
2024-04-17T14:07:08.567549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1188
 
14.9%
산 404
 
5.1%
부 387
 
4.8%
동 366
 
4.6%
광 364
 
4.6%
시 357
 
4.5%
역 353
 
4.4%
구 345
 
4.3%
지 344
 
4.3%
1 341
 
4.3%
Other values (201) 3545
44.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4996
62.5%
Decimal Number 1510
 
18.9%
Space Separator 1188
 
14.9%
Dash Punctuation 277
 
3.5%
Uppercase Letter 14
 
0.2%
Open Punctuation 4
 
0.1%
Close Punctuation 4
 
0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 404
 
8.1%
부 387
 
7.7%
동 366
 
7.3%
광 364
 
7.3%
시 357
 
7.1%
역 353
 
7.1%
구 345
 
6.9%
지 344
 
6.9%
번 337
 
6.7%
사 112
 
2.2%
Other values (176) 1627
32.6%
Decimal Number
ValueCountFrequency (%)
1 341
22.6%
2 180
11.9%
3 153
10.1%
5 145
9.6%
4 137
9.1%
0 121
 
8.0%
6 115
 
7.6%
7 111
 
7.4%
8 109
 
7.2%
9 98
 
6.5%
Uppercase Letter
ValueCountFrequency (%)
B 3
21.4%
S 2
14.3%
L 2
14.3%
A 1
 
7.1%
H 1
 
7.1%
W 1
 
7.1%
E 1
 
7.1%
I 1
 
7.1%
V 1
 
7.1%
K 1
 
7.1%
Space Separator
ValueCountFrequency (%)
1188
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 277
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Lowercase Letter
ValueCountFrequency (%)
i 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4996
62.5%
Common 2983
37.3%
Latin 15
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 404
 
8.1%
부 387
 
7.7%
동 366
 
7.3%
광 364
 
7.3%
시 357
 
7.1%
역 353
 
7.1%
구 345
 
6.9%
지 344
 
6.9%
번 337
 
6.7%
사 112
 
2.2%
Other values (176) 1627
32.6%
Common
ValueCountFrequency (%)
1188
39.8%
1 341
 
11.4%
- 277
 
9.3%
2 180
 
6.0%
3 153
 
5.1%
5 145
 
4.9%
4 137
 
4.6%
0 121
 
4.1%
6 115
 
3.9%
7 111
 
3.7%
Other values (4) 215
 
7.2%
Latin
ValueCountFrequency (%)
B 3
20.0%
S 2
13.3%
L 2
13.3%
A 1
 
6.7%
H 1
 
6.7%
i 1
 
6.7%
W 1
 
6.7%
E 1
 
6.7%
I 1
 
6.7%
V 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4996
62.5%
ASCII 2998
37.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1188
39.6%
1 341
 
11.4%
- 277
 
9.2%
2 180
 
6.0%
3 153
 
5.1%
5 145
 
4.8%
4 137
 
4.6%
0 121
 
4.0%
6 115
 
3.8%
7 111
 
3.7%
Other values (15) 230
 
7.7%
Hangul
ValueCountFrequency (%)
산 404
 
8.1%
부 387
 
7.7%
동 366
 
7.3%
광 364
 
7.3%
시 357
 
7.1%
역 353
 
7.1%
구 345
 
6.9%
지 344
 
6.9%
번 337
 
6.7%
사 112
 
2.2%
Other values (176) 1627
32.6%

도로명전체주소
Text

MISSING 

Distinct316
Distinct (%)90.0%
Missing37
Missing (%)9.5%
Memory size3.2 KiB
2024-04-17T14:07:08.902019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length38
Mean length26.603989
Min length20

Characters and Unicode

Total characters9338
Distinct characters230
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique288 ?
Unique (%)82.1%

Sample

1st row부산광역시 기장군 일광면 일광로 307
2nd row부산광역시 기장군 정관면 농공길 13-70
3rd row부산광역시 기장군 기장읍 기장해안로 266
4th row부산광역시 사상구 모덕로27번길 31 (삼락동)
5th row부산광역시 사상구 가야대로 180 (학장동)
ValueCountFrequency (%)
부산광역시 351
 
19.2%
사하구 66
 
3.6%
사상구 53
 
2.9%
강서구 51
 
2.8%
송정동 38
 
2.1%
학장동 21
 
1.2%
영도구 21
 
1.2%
다대동 20
 
1.1%
수영구 20
 
1.1%
기장군 20
 
1.1%
Other values (561) 1163
63.8%
2024-04-17T14:07:09.607921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1530
 
16.4%
산 488
 
5.2%
동 399
 
4.3%
부 390
 
4.2%
광 373
 
4.0%
시 357
 
3.8%
구 354
 
3.8%
역 351
 
3.8%
로 344
 
3.7%
) 336
 
3.6%
Other values (220) 4416
47.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5785
62.0%
Space Separator 1530
 
16.4%
Decimal Number 1259
 
13.5%
Close Punctuation 336
 
3.6%
Open Punctuation 336
 
3.6%
Other Punctuation 62
 
0.7%
Dash Punctuation 25
 
0.3%
Uppercase Letter 4
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 488
 
8.4%
동 399
 
6.9%
부 390
 
6.7%
광 373
 
6.4%
시 357
 
6.2%
구 354
 
6.1%
역 351
 
6.1%
로 344
 
5.9%
대 188
 
3.2%
사 135
 
2.3%
Other values (201) 2406
41.6%
Decimal Number
ValueCountFrequency (%)
1 260
20.7%
2 184
14.6%
3 123
9.8%
5 121
9.6%
4 114
9.1%
6 108
8.6%
7 100
 
7.9%
0 90
 
7.1%
8 80
 
6.4%
9 79
 
6.3%
Uppercase Letter
ValueCountFrequency (%)
C 2
50.0%
E 1
25.0%
A 1
25.0%
Space Separator
ValueCountFrequency (%)
1530
100.0%
Close Punctuation
ValueCountFrequency (%)
) 336
100.0%
Open Punctuation
ValueCountFrequency (%)
( 336
100.0%
Other Punctuation
ValueCountFrequency (%)
, 62
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5785
62.0%
Common 3549
38.0%
Latin 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 488
 
8.4%
동 399
 
6.9%
부 390
 
6.7%
광 373
 
6.4%
시 357
 
6.2%
구 354
 
6.1%
역 351
 
6.1%
로 344
 
5.9%
대 188
 
3.2%
사 135
 
2.3%
Other values (201) 2406
41.6%
Common
ValueCountFrequency (%)
1530
43.1%
) 336
 
9.5%
( 336
 
9.5%
1 260
 
7.3%
2 184
 
5.2%
3 123
 
3.5%
5 121
 
3.4%
4 114
 
3.2%
6 108
 
3.0%
7 100
 
2.8%
Other values (6) 337
 
9.5%
Latin
ValueCountFrequency (%)
C 2
50.0%
E 1
25.0%
A 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5785
62.0%
ASCII 3553
38.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1530
43.1%
) 336
 
9.5%
( 336
 
9.5%
1 260
 
7.3%
2 184
 
5.2%
3 123
 
3.5%
5 121
 
3.4%
4 114
 
3.2%
6 108
 
3.0%
7 100
 
2.8%
Other values (9) 341
 
9.6%
Hangul
ValueCountFrequency (%)
산 488
 
8.4%
동 399
 
6.9%
부 390
 
6.7%
광 373
 
6.4%
시 357
 
6.2%
구 354
 
6.1%
역 351
 
6.1%
로 344
 
5.9%
대 188
 
3.2%
사 135
 
2.3%
Other values (201) 2406
41.6%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct83
Distinct (%)76.1%
Missing279
Missing (%)71.9%
Infinite0
Infinite (%)0.0%
Mean47601.165
Minimum46017
Maximum49524
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-04-17T14:07:09.730112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46017
5-th percentile46102.8
Q146753
median47029
Q348481
95-th percentile49455
Maximum49524
Range3507
Interquartile range (IQR)1728

Descriptive statistics

Standard deviation1139.549
Coefficient of variation (CV)0.023939518
Kurtosis-1.198449
Mean47601.165
Median Absolute Deviation (MAD)702
Skewness0.50195214
Sum5188527
Variance1298571.8
MonotonicityNot monotonic
2024-04-17T14:07:09.849636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
46754 5
 
1.3%
49455 4
 
1.0%
48283 4
 
1.0%
47025 3
 
0.8%
46755 3
 
0.8%
46028 3
 
0.8%
49326 2
 
0.5%
47261 2
 
0.5%
47354 2
 
0.5%
48299 2
 
0.5%
Other values (73) 79
 
20.4%
(Missing) 279
71.9%
ValueCountFrequency (%)
46017 1
 
0.3%
46027 2
0.5%
46028 3
0.8%
46215 1
 
0.3%
46272 1
 
0.3%
46277 1
 
0.3%
46307 1
 
0.3%
46313 1
 
0.3%
46327 1
 
0.3%
46332 1
 
0.3%
ValueCountFrequency (%)
49524 1
 
0.3%
49491 1
 
0.3%
49489 1
 
0.3%
49487 1
 
0.3%
49486 1
 
0.3%
49455 4
1.0%
49432 1
 
0.3%
49426 1
 
0.3%
49419 1
 
0.3%
49401 1
 
0.3%

사업장명
Text

Distinct344
Distinct (%)88.7%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2024-04-17T14:07:10.076110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length22
Mean length8.128866
Min length3

Characters and Unicode

Total characters3154
Distinct characters318
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique309 ?
Unique (%)79.6%

Sample

1st row에스지(SG)유통
2nd row상수도사업본부 기장사업소
3rd row일신기계공업(주)
4th row주식회사 일등코리아
5th row동서열처리주식회사 사상지점
ValueCountFrequency (%)
의료법인 16
 
3.4%
주식회사 5
 
1.1%
부산대학교병원 4
 
0.9%
인당의료재단 4
 
0.9%
부곡스텐레스(주 3
 
0.6%
해동산업 3
 
0.6%
인제대학교 3
 
0.6%
광진실업(주 3
 
0.6%
화명일신기독병원 3
 
0.6%
일신기독병원 3
 
0.6%
Other values (384) 421
90.0%
2024-04-17T14:07:10.429784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
) 149
 
4.7%
( 147
 
4.7%
주 144
 
4.6%
원 140
 
4.4%
병 126
 
4.0%
80
 
2.5%
산 74
 
2.3%
부 60
 
1.9%
대 60
 
1.9%
업 60
 
1.9%
Other values (308) 2114
67.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2721
86.3%
Close Punctuation 149
 
4.7%
Open Punctuation 147
 
4.7%
Space Separator 80
 
2.5%
Uppercase Letter 27
 
0.9%
Decimal Number 24
 
0.8%
Other Symbol 3
 
0.1%
Other Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 144
 
5.3%
원 140
 
5.1%
병 126
 
4.6%
산 74
 
2.7%
부 60
 
2.2%
대 60
 
2.2%
업 60
 
2.2%
의 54
 
2.0%
동 52
 
1.9%
공 48
 
1.8%
Other values (277) 1903
69.9%
Uppercase Letter
ValueCountFrequency (%)
S 9
33.3%
T 3
 
11.1%
O 2
 
7.4%
G 2
 
7.4%
C 1
 
3.7%
N 1
 
3.7%
F 1
 
3.7%
A 1
 
3.7%
E 1
 
3.7%
J 1
 
3.7%
Other values (5) 5
18.5%
Decimal Number
ValueCountFrequency (%)
2 5
20.8%
6 5
20.8%
3 4
16.7%
7 4
16.7%
0 1
 
4.2%
4 1
 
4.2%
5 1
 
4.2%
9 1
 
4.2%
8 1
 
4.2%
1 1
 
4.2%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
& 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 149
100.0%
Open Punctuation
ValueCountFrequency (%)
( 147
100.0%
Space Separator
ValueCountFrequency (%)
80
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2724
86.4%
Common 403
 
12.8%
Latin 27
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 144
 
5.3%
원 140
 
5.1%
병 126
 
4.6%
산 74
 
2.7%
부 60
 
2.2%
대 60
 
2.2%
업 60
 
2.2%
의 54
 
2.0%
동 52
 
1.9%
공 48
 
1.8%
Other values (278) 1906
70.0%
Common
ValueCountFrequency (%)
) 149
37.0%
( 147
36.5%
80
19.9%
2 5
 
1.2%
6 5
 
1.2%
3 4
 
1.0%
7 4
 
1.0%
. 2
 
0.5%
0 1
 
0.2%
4 1
 
0.2%
Other values (5) 5
 
1.2%
Latin
ValueCountFrequency (%)
S 9
33.3%
T 3
 
11.1%
O 2
 
7.4%
G 2
 
7.4%
C 1
 
3.7%
N 1
 
3.7%
F 1
 
3.7%
A 1
 
3.7%
E 1
 
3.7%
J 1
 
3.7%
Other values (5) 5
18.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2721
86.3%
ASCII 430
 
13.6%
None 3
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
) 149
34.7%
( 147
34.2%
80
18.6%
S 9
 
2.1%
2 5
 
1.2%
6 5
 
1.2%
3 4
 
0.9%
7 4
 
0.9%
T 3
 
0.7%
O 2
 
0.5%
Other values (20) 22
 
5.1%
Hangul
ValueCountFrequency (%)
주 144
 
5.3%
원 140
 
5.1%
병 126
 
4.6%
산 74
 
2.7%
부 60
 
2.2%
대 60
 
2.2%
업 60
 
2.2%
의 54
 
2.0%
동 52
 
1.9%
공 48
 
1.8%
Other values (277) 1903
69.9%
None
ValueCountFrequency (%)
㈜ 3
100.0%

최종수정시점
Real number (ℝ)

Distinct384
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0128253 × 1013
Minimum1.9770527 × 1013
Maximum2.0210323 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-04-17T14:07:10.557399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.9770527 × 1013
5-th percentile1.9940797 × 1013
Q12.0120489 × 1013
median2.0150206 × 1013
Q32.0190108 × 1013
95-th percentile2.0200323 × 1013
Maximum2.0210323 × 1013
Range4.3979611 × 1011
Interquartile range (IQR)6.9618764 × 1010

Descriptive statistics

Standard deviation8.5487482 × 1010
Coefficient of variation (CV)0.0042471388
Kurtosis6.0253644
Mean2.0128253 × 1013
Median Absolute Deviation (MAD)3.5051517 × 1010
Skewness-2.3528082
Sum7.809762 × 1015
Variance7.3081096 × 1021
MonotonicityNot monotonic
2024-04-17T14:07:10.690319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19790607000000 2
 
0.5%
20030604000000 2
 
0.5%
19780117000000 2
 
0.5%
19890316000000 2
 
0.5%
20120118130449 1
 
0.3%
20060214000000 1
 
0.3%
20070521000000 1
 
0.3%
20070927100748 1
 
0.3%
20071115113838 1
 
0.3%
20080820134525 1
 
0.3%
Other values (374) 374
96.4%
ValueCountFrequency (%)
19770527000000 1
0.3%
19771205000000 1
0.3%
19771222000000 1
0.3%
19780117000000 2
0.5%
19790531000000 1
0.3%
19790607000000 2
0.5%
19790921000000 1
0.3%
19820811000000 1
0.3%
19851025000000 1
0.3%
19851228000000 1
0.3%
ValueCountFrequency (%)
20210323110820 1
0.3%
20210312164859 1
0.3%
20210311135114 1
0.3%
20210113175129 1
0.3%
20201229180303 1
0.3%
20201229175241 1
0.3%
20201222164926 1
0.3%
20201110140941 1
0.3%
20201110095208 1
0.3%
20201110095128 1
0.3%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
I
338 
U
50 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 338
87.1%
U 50
 
12.9%

Length

2024-04-17T14:07:10.797063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:07:10.879235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 338
87.1%
u 50
 
12.9%

데이터갱신일자
Date

Distinct104
Distinct (%)26.8%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
Minimum2018-08-31 23:59:59
Maximum2021-03-25 00:22:59
2024-04-17T14:07:10.976690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T14:07:11.097625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing388
Missing (%)100.0%
Memory size3.5 KiB

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct311
Distinct (%)87.1%
Missing31
Missing (%)8.0%
Infinite0
Infinite (%)0.0%
Mean383978.21
Minimum366383.29
Maximum409066.55
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-04-17T14:07:11.226936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum366383.29
5-th percentile368484.11
Q1379682.12
median382880.08
Q3389627.62
95-th percentile398578.04
Maximum409066.55
Range42683.268
Interquartile range (IQR)9945.4965

Descriptive statistics

Standard deviation8530.3361
Coefficient of variation (CV)0.022215677
Kurtosis0.13544881
Mean383978.21
Median Absolute Deviation (MAD)4507.2969
Skewness0.15209958
Sum1.3708022 × 108
Variance72766634
MonotonicityNot monotonic
2024-04-17T14:07:11.344664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
378147.041737072 4
 
1.0%
379057.4468593 4
 
1.0%
384030.498741004 4
 
1.0%
368484.114375775 3
 
0.8%
387182.187834 3
 
0.8%
379773.726121275 3
 
0.8%
382776.595655929 3
 
0.8%
381483.23378941 2
 
0.5%
398157.395162981 2
 
0.5%
398749.005508548 2
 
0.5%
Other values (301) 327
84.3%
(Missing) 31
 
8.0%
ValueCountFrequency (%)
366383.285561225 1
0.3%
366475.190430892 1
0.3%
366637.496226753 1
0.3%
366820.624748879 1
0.3%
366839.144983353 1
0.3%
366937.891639014 1
0.3%
367002.905748524 1
0.3%
367063.5295436 1
0.3%
367512.163717601 1
0.3%
368010.221548029 1
0.3%
ValueCountFrequency (%)
409066.553206529 1
0.3%
405517.824482339 1
0.3%
405275.88338955 1
0.3%
405119.002516111 1
0.3%
404990.203143263 1
0.3%
404894.66518892 1
0.3%
404794.718660249 1
0.3%
404695.083526718 1
0.3%
404576.448660758 1
0.3%
403768.515984781 1
0.3%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct311
Distinct (%)87.1%
Missing31
Missing (%)8.0%
Infinite0
Infinite (%)0.0%
Mean184777.34
Minimum174044.03
Maximum211024.89
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-04-17T14:07:11.456395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum174044.03
5-th percentile175508.27
Q1178888.3
median184205.81
Q3188697.05
95-th percentile200090.41
Maximum211024.89
Range36980.854
Interquartile range (IQR)9808.7517

Descriptive statistics

Standard deviation7545.8686
Coefficient of variation (CV)0.04083763
Kurtosis1.3374874
Mean184777.34
Median Absolute Deviation (MAD)5235.4023
Skewness1.13113
Sum65965510
Variance56940133
MonotonicityNot monotonic
2024-04-17T14:07:11.577607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
192455.311143916 4
 
1.0%
178888.302700248 4
 
1.0%
179806.024724594 4
 
1.0%
178664.085426637 3
 
0.8%
184044.491647 3
 
0.8%
185666.694850202 3
 
0.8%
194771.604134444 3
 
0.8%
185160.553598266 2
 
0.5%
188697.0544299 2
 
0.5%
188211.683012763 2
 
0.5%
Other values (301) 327
84.3%
(Missing) 31
 
8.0%
ValueCountFrequency (%)
174044.034271729 1
0.3%
174226.136061123 1
0.3%
174279.764300288 1
0.3%
174331.206459644 1
0.3%
174355.708212487 1
0.3%
174417.349291319 1
0.3%
174551.635641826 1
0.3%
174554.282651552 1
0.3%
174676.412428464 1
0.3%
174765.307900471 1
0.3%
ValueCountFrequency (%)
211024.888312993 1
0.3%
210853.725594626 1
0.3%
210735.315853947 1
0.3%
210713.627656158 1
0.3%
209770.042448899 1
0.3%
205530.677770268 1
0.3%
205453.922084 1
0.3%
205432.548871 1
0.3%
204493.887736 1
0.3%
204491.772113 1
0.3%

사용목적
Text

MISSING 

Distinct142
Distinct (%)38.0%
Missing14
Missing (%)3.6%
Memory size3.2 KiB
2024-04-17T14:07:11.802486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length15
Mean length4.8048128
Min length1

Characters and Unicode

Total characters1797
Distinct characters140
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique106 ?
Unique (%)28.3%

Sample

1st row양어장산소공급
2nd row소독
3rd row용접
4th row영업용 수족관 산소공급
5th row산업용(열처리)
ValueCountFrequency (%)
의료용 110
21.1%
절단용 29
 
5.6%
열처리 26
 
5.0%
용접 24
 
4.6%
열처리용 22
 
4.2%
산소 21
 
4.0%
및 19
 
3.6%
절단 13
 
2.5%
철판가공 10
 
1.9%
가공 10
 
1.9%
Other values (149) 238
45.6%
2024-04-17T14:07:12.148769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
용 283
 
15.7%
148
 
8.2%
료 124
 
6.9%
의 121
 
6.7%
절 78
 
4.3%
단 76
 
4.2%
리 61
 
3.4%
공 61
 
3.4%
처 60
 
3.3%
열 58
 
3.2%
Other values (130) 727
40.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1573
87.5%
Space Separator 148
 
8.2%
Lowercase Letter 31
 
1.7%
Other Punctuation 18
 
1.0%
Decimal Number 11
 
0.6%
Open Punctuation 7
 
0.4%
Close Punctuation 7
 
0.4%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
용 283
18.0%
료 124
 
7.9%
의 121
 
7.7%
절 78
 
5.0%
단 76
 
4.8%
리 61
 
3.9%
공 61
 
3.9%
처 60
 
3.8%
열 58
 
3.7%
산 53
 
3.4%
Other values (106) 598
38.0%
Lowercase Letter
ValueCountFrequency (%)
i 4
12.9%
c 4
12.9%
a 3
9.7%
e 3
9.7%
g 2
 
6.5%
m 2
 
6.5%
l 2
 
6.5%
w 2
 
6.5%
u 2
 
6.5%
h 2
 
6.5%
Other values (4) 5
16.1%
Other Punctuation
ValueCountFrequency (%)
, 13
72.2%
. 4
 
22.2%
: 1
 
5.6%
Decimal Number
ValueCountFrequency (%)
0 4
36.4%
2 4
36.4%
1 3
27.3%
Space Separator
ValueCountFrequency (%)
148
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Uppercase Letter
ValueCountFrequency (%)
R 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1573
87.5%
Common 191
 
10.6%
Latin 33
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
용 283
18.0%
료 124
 
7.9%
의 121
 
7.7%
절 78
 
5.0%
단 76
 
4.8%
리 61
 
3.9%
공 61
 
3.9%
처 60
 
3.8%
열 58
 
3.7%
산 53
 
3.4%
Other values (106) 598
38.0%
Latin
ValueCountFrequency (%)
i 4
12.1%
c 4
12.1%
a 3
9.1%
e 3
9.1%
R 2
 
6.1%
g 2
 
6.1%
m 2
 
6.1%
l 2
 
6.1%
w 2
 
6.1%
u 2
 
6.1%
Other values (5) 7
21.2%
Common
ValueCountFrequency (%)
148
77.5%
, 13
 
6.8%
( 7
 
3.7%
) 7
 
3.7%
. 4
 
2.1%
0 4
 
2.1%
2 4
 
2.1%
1 3
 
1.6%
: 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1573
87.5%
ASCII 224
 
12.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
용 283
18.0%
료 124
 
7.9%
의 121
 
7.7%
절 78
 
5.0%
단 76
 
4.8%
리 61
 
3.9%
공 61
 
3.9%
처 60
 
3.8%
열 58
 
3.7%
산 53
 
3.4%
Other values (106) 598
38.0%
ASCII
ValueCountFrequency (%)
148
66.1%
, 13
 
5.8%
( 7
 
3.1%
) 7
 
3.1%
. 4
 
1.8%
0 4
 
1.8%
2 4
 
1.8%
i 4
 
1.8%
c 4
 
1.8%
a 3
 
1.3%
Other values (14) 26
 
11.6%

사용방법
Text

MISSING 

Distinct214
Distinct (%)62.0%
Missing43
Missing (%)11.1%
Memory size3.2 KiB
2024-04-17T14:07:12.407735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length73
Median length61
Mean length8.5478261
Min length1

Characters and Unicode

Total characters2949
Distinct characters251
Distinct categories13 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique177 ?
Unique (%)51.3%

Sample

1st row소형저장탱크
2nd row-
3rd row혼합
4th row영업용 수족관 산소공급
5th row용기 사용
ValueCountFrequency (%)
의료용 41
 
5.7%
산소 23
 
3.2%
용접 22
 
3.1%
사용 21
 
2.9%
및 18
 
2.5%
절단 17
 
2.4%
공급 14
 
2.0%
12
 
1.7%
액화산소 11
 
1.5%
저장 11
 
1.5%
Other values (326) 524
73.4%
2024-04-17T14:07:12.805689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
348
 
11.8%
용 223
 
7.6%
소 91
 
3.1%
기 88
 
3.0%
산 79
 
2.7%
의 62
 
2.1%
료 59
 
2.0%
공 53
 
1.8%
0 52
 
1.8%
화 47
 
1.6%
Other values (241) 1847
62.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2072
70.3%
Space Separator 348
 
11.8%
Decimal Number 240
 
8.1%
Other Punctuation 81
 
2.7%
Lowercase Letter 80
 
2.7%
Open Punctuation 31
 
1.1%
Close Punctuation 29
 
1.0%
Control 21
 
0.7%
Dash Punctuation 21
 
0.7%
Uppercase Letter 11
 
0.4%
Other values (3) 15
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
용 223
 
10.8%
소 91
 
4.4%
기 88
 
4.2%
산 79
 
3.8%
의 62
 
3.0%
료 59
 
2.8%
공 53
 
2.6%
화 47
 
2.3%
사 45
 
2.2%
장 44
 
2.1%
Other values (190) 1281
61.8%
Lowercase Letter
ValueCountFrequency (%)
g 22
27.5%
k 20
25.0%
i 4
 
5.0%
c 4
 
5.0%
m 4
 
5.0%
n 3
 
3.8%
a 3
 
3.8%
e 3
 
3.8%
h 2
 
2.5%
u 2
 
2.5%
Other values (7) 13
16.2%
Decimal Number
ValueCountFrequency (%)
0 52
21.7%
1 46
19.2%
2 35
14.6%
6 27
11.2%
8 22
9.2%
3 17
 
7.1%
5 14
 
5.8%
4 12
 
5.0%
7 9
 
3.8%
9 6
 
2.5%
Uppercase Letter
ValueCountFrequency (%)
L 3
27.3%
R 2
18.2%
A 1
 
9.1%
C 1
 
9.1%
T 1
 
9.1%
B 1
 
9.1%
G 1
 
9.1%
K 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
. 33
40.7%
, 17
21.0%
* 15
18.5%
: 13
 
16.0%
/ 3
 
3.7%
Math Symbol
ValueCountFrequency (%)
= 4
50.0%
→ 3
37.5%
> 1
 
12.5%
Open Punctuation
ValueCountFrequency (%)
( 30
96.8%
[ 1
 
3.2%
Space Separator
ValueCountFrequency (%)
348
100.0%
Close Punctuation
ValueCountFrequency (%)
) 29
100.0%
Control
ValueCountFrequency (%)
21
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%
Other Symbol
ValueCountFrequency (%)
㎥ 6
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2072
70.3%
Common 786
 
26.7%
Latin 91
 
3.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
용 223
 
10.8%
소 91
 
4.4%
기 88
 
4.2%
산 79
 
3.8%
의 62
 
3.0%
료 59
 
2.8%
공 53
 
2.6%
화 47
 
2.3%
사 45
 
2.2%
장 44
 
2.1%
Other values (190) 1281
61.8%
Common
ValueCountFrequency (%)
348
44.3%
0 52
 
6.6%
1 46
 
5.9%
2 35
 
4.5%
. 33
 
4.2%
( 30
 
3.8%
) 29
 
3.7%
6 27
 
3.4%
8 22
 
2.8%
21
 
2.7%
Other values (16) 143
18.2%
Latin
ValueCountFrequency (%)
g 22
24.2%
k 20
22.0%
i 4
 
4.4%
c 4
 
4.4%
m 4
 
4.4%
L 3
 
3.3%
n 3
 
3.3%
a 3
 
3.3%
e 3
 
3.3%
h 2
 
2.2%
Other values (15) 23
25.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2070
70.2%
ASCII 868
29.4%
CJK Compat 6
 
0.2%
Arrows 3
 
0.1%
Compat Jamo 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
348
40.1%
0 52
 
6.0%
1 46
 
5.3%
2 35
 
4.0%
. 33
 
3.8%
( 30
 
3.5%
) 29
 
3.3%
6 27
 
3.1%
8 22
 
2.5%
g 22
 
2.5%
Other values (39) 224
25.8%
Hangul
ValueCountFrequency (%)
용 223
 
10.8%
소 91
 
4.4%
기 88
 
4.3%
산 79
 
3.8%
의 62
 
3.0%
료 59
 
2.9%
공 53
 
2.6%
화 47
 
2.3%
사 45
 
2.2%
장 44
 
2.1%
Other values (189) 1279
61.8%
CJK Compat
ValueCountFrequency (%)
㎥ 6
100.0%
Arrows
ValueCountFrequency (%)
→ 3
100.0%
Compat Jamo
ValueCountFrequency (%)
ㄴ 2
100.0%

월사용량
Real number (ℝ)

MISSING  ZEROS 

Distinct130
Distinct (%)36.5%
Missing32
Missing (%)8.2%
Infinite0
Infinite (%)0.0%
Mean41960.033
Minimum0
Maximum5000000
Zeros17
Zeros (%)4.4%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-04-17T14:07:12.937933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1775
Q1120
median600
Q32115
95-th percentile10000
Maximum5000000
Range5000000
Interquartile range (IQR)1995

Descriptive statistics

Standard deviation435311.28
Coefficient of variation (CV)10.374427
Kurtosis115.95304
Mean41960.033
Median Absolute Deviation (MAD)595.05
Skewness10.822365
Sum14937772
Variance1.8949591 × 1011
MonotonicityNot monotonic
2024-04-17T14:07:13.067225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2000.0 20
 
5.2%
0.0 17
 
4.4%
3000.0 17
 
4.4%
1.0 15
 
3.9%
200.0 12
 
3.1%
500.0 10
 
2.6%
1000.0 10
 
2.6%
10000.0 10
 
2.6%
10.0 10
 
2.6%
1500.0 9
 
2.3%
Other values (120) 226
58.2%
(Missing) 32
 
8.2%
ValueCountFrequency (%)
0.0 17
4.4%
0.08 1
 
0.3%
0.21 1
 
0.3%
0.25 1
 
0.3%
0.7 1
 
0.3%
1.0 15
3.9%
4.9 2
 
0.5%
5.0 1
 
0.3%
7.0 1
 
0.3%
8.064 1
 
0.3%
ValueCountFrequency (%)
5000000.0 1
 
0.3%
4631000.0 2
 
0.5%
29015.0 1
 
0.3%
20000.0 4
 
1.0%
18839.0 1
 
0.3%
12000.0 1
 
0.3%
11280.0 1
 
0.3%
10000.0 10
2.6%
9000.0 1
 
0.3%
8000.0 2
 
0.5%

수용정원수
Real number (ℝ)

MISSING  ZEROS 

Distinct82
Distinct (%)23.7%
Missing42
Missing (%)10.8%
Infinite0
Infinite (%)0.0%
Mean87.132948
Minimum0
Maximum1500
Zeros37
Zeros (%)9.5%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-04-17T14:07:13.182205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median15
Q3100
95-th percentile365
Maximum1500
Range1500
Interquartile range (IQR)95

Descriptive statistics

Standard deviation166.52703
Coefficient of variation (CV)1.9111832
Kurtosis26.010913
Mean87.132948
Median Absolute Deviation (MAD)15
Skewness4.2871014
Sum30148
Variance27731.252
MonotonicityNot monotonic
2024-04-17T14:07:13.300924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 37
 
9.5%
10 37
 
9.5%
5 29
 
7.5%
100 23
 
5.9%
3 17
 
4.4%
50 16
 
4.1%
20 14
 
3.6%
1 13
 
3.4%
250 10
 
2.6%
200 9
 
2.3%
Other values (72) 141
36.3%
(Missing) 42
 
10.8%
ValueCountFrequency (%)
0 37
9.5%
1 13
 
3.4%
2 7
 
1.8%
3 17
4.4%
4 6
 
1.5%
5 29
7.5%
6 5
 
1.3%
7 4
 
1.0%
8 5
 
1.3%
9 1
 
0.3%
ValueCountFrequency (%)
1500 1
 
0.3%
1300 1
 
0.3%
1000 1
 
0.3%
708 1
 
0.3%
700 1
 
0.3%
650 1
 
0.3%
640 1
 
0.3%
520 1
 
0.3%
500 3
0.8%
450 2
0.5%

시설사용여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing388
Missing (%)100.0%
Memory size3.5 KiB

Unnamed: 33
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing388
Missing (%)100.0%
Memory size3.5 KiB

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)사용목적사용방법월사용량수용정원수시설사용여부Unnamed: 33
01특정고압가스업09_28_14_P3400000201734001091220000420170801<NA>3폐업2폐업처리20201110<NA><NA><NA><NA><NA><NA>부산광역시 기장군 일광면 이천리 123부산광역시 기장군 일광면 일광로 307<NA>에스지(SG)유통20201110140941U2020-11-12 02:40:00.0<NA>404695.083527199341.432308양어장산소공급소형저장탱크3000.04<NA><NA>
12특정고압가스업09_28_14_P3400000199734000250270000519970516<NA>3폐업2폐업처리20061127<NA><NA><NA>051 7276911<NA><NA>부산광역시 기장군 장안읍 월내리 산 1-9번지번지<NA><NA>상수도사업본부 기장사업소20170217154917I2018-08-31 23:59:59.0<NA><NA><NA>소독-0.00<NA><NA>
23특정고압가스업09_28_14_P3400000199634000250270000320070704<NA>3폐업2폐업처리20070704<NA><NA><NA>051 7285333<NA><NA>부산광역시 기장군 정관면 예림리 940-4번지부산광역시 기장군 정관면 농공길 13-70<NA>일신기계공업(주)20170217154345I2018-08-31 23:59:59.0<NA>399597.032678205453.922084용접혼합100.03<NA><NA>
34특정고압가스업09_28_14_P3400000201734001091220000320170620<NA>3폐업2폐업처리20171012<NA><NA><NA><NA><NA><NA>부산광역시 기장군 기장읍 시랑리 709번지부산광역시 기장군 기장읍 기장해안로 266<NA>주식회사 일등코리아20171012164619I2018-08-31 23:59:59.0<NA>402500.203407191038.503561영업용 수족관 산소공급영업용 수족관 산소공급0.257<NA><NA>
45특정고압가스업09_28_14_P3390000199233900911220000119920321<NA>3폐업2폐업처리20171220<NA><NA><NA><NA><NA><NA><NA>부산광역시 사상구 모덕로27번길 31 (삼락동)<NA>동서열처리주식회사 사상지점20171220094502I2018-08-31 23:59:59.0<NA>380243.865499188997.946237산업용(열처리)용기 사용300.012<NA><NA>
56특정고압가스업09_28_14_P3390000201733900911220000420170808<NA>3폐업2폐업처리20190603<NA><NA><NA><NA><NA><NA><NA>부산광역시 사상구 가야대로 180 (학장동)<NA>대림금속레이저20190603142333U2019-06-05 02:40:00.0<NA>381483.233789185160.553598레이저절단,가공저장탱크 저장후 대기식기화기를 통하여 기화시켜 배관을 통해 사용처에 공급1.03<NA><NA>
67특정고압가스업09_28_14_P3390000201733900911220000320170808<NA>3폐업2폐업처리20190603<NA><NA><NA><NA><NA><NA><NA>부산광역시 사상구 가야대로 180 (학장동)<NA>대림금속레이저20190603142407U2019-06-05 02:40:00.0<NA>381483.233789185160.553598레이저절단, 가공액화가스를 저장탱크에 저장후 기화기로 기화시켜 배관을 통해 공급,사용1.03<NA><NA>
78특정고압가스업09_28_14_P3390000201833900911220000220180913<NA>3폐업2폐업처리20190213<NA><NA><NA><NA><NA><NA>부산광역시 사상구 괘법동 558-5번지 서부산센텀병원부산광역시 사상구 새벽로 226, 서부산센텀병원 (괘법동)46973의료법인 셈텀의료재단 서부산센텀병원20190213165538U2019-02-15 02:40:00.0<NA>380749.815551186468.892231의료용액체산소 용기(168.3기*1, 80kg*1기)에 의한 보관336.6300<NA><NA>
89특정고압가스업09_28_14_P3390000201533900911221000120151002<NA>3폐업2폐업처리20190521<NA><NA><NA><NA><NA><NA>부산광역시 사상구 모라동 711-5번지부산광역시 사상구 사상로439번길 20 (모라동)<NA>영재열처리20190712171346U2019-07-14 02:40:00.0<NA>380772.939841189031.583489열처리용열처리용1500.08<NA><NA>
910특정고압가스업09_28_14_P3390000201533900911221000020150722<NA>3폐업2폐업처리20150721<NA><NA><NA><NA><NA><NA><NA>부산광역시 사상구 새벽로45번길 35 (학장동)<NA>한국선재(주)학장공장20150722170047I2018-08-31 23:59:59.0<NA>380250.117797184672.317471제품 제작용 연료용기1000.010<NA><NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)사용목적사용방법월사용량수용정원수시설사용여부Unnamed: 33
378379특정고압가스업09_28_14_P3260000201732600971220000120170123<NA>1영업/정상BBBB<NA><NA><NA><NA><NA><NA><NA><NA><NA>부산광역시 서구 구덕로 179 (아미동1가, 부산대학교병원 C동별관(의대구관))<NA>부산대학교병원20170123103810I2018-08-31 23:59:59.0<NA>384030.498741179806.024725의료용의료용21.50410<NA><NA>
379380특정고압가스업09_28_14_P3260000201632600701220000120160411<NA>1영업/정상BBBB<NA><NA><NA><NA><NA><NA><NA><NA><NA>부산광역시 서구 대티로 170 (서대신동2가)<NA>삼육부산병원20160411162649I2018-08-31 23:59:59.0<NA>383283.556172181112.15885환자 수술 및 처치의료용0.00<NA><NA>
380381특정고압가스업09_28_14_P3260000201032600701220000120100118<NA>1영업/정상BBBB<NA><NA><NA><NA><NA><NA><NA><NA>부산광역시 서구 암남동 34번지 고신대학교복음병원부산광역시 서구 성산길 46 (암남동)<NA>고신대학교복음병원20111030104802I2018-08-31 23:59:59.0<NA>383621.461145177626.547375의료용의료용1000.01300<NA><NA>
381382특정고압가스업09_28_14_P3260000200632600660270000120061004<NA>1영업/정상BBBB<NA><NA><NA><NA><NA>051 2578025<NA><NA>부산광역시 서구 암남동 721번지부산광역시 서구 원양로 71 (암남동)<NA>성진수산(주)암남동공장20061004000000I2018-08-31 23:59:59.0<NA>383218.187028175520.650585<NA><NA><NA><NA><NA><NA>
382383특정고압가스업09_28_14_P3260000200232600490270060120020221<NA>1영업/정상BBBB<NA><NA><NA><NA><NA>051 2540171<NA><NA>부산광역시 서구 아미동1가 10번지<NA><NA>부산대학교병원(응급센터)20020221000000I2018-08-31 23:59:59.0<NA><NA><NA>의료용<NA>11280.0<NA><NA><NA>
383384특정고압가스업09_28_14_P3260000199232600490270000219920529<NA>1영업/정상BBBB<NA><NA><NA><NA><NA>051 2476600<NA><NA>부산광역시 서구 동대신동3가 1번지<NA><NA>동아대학교부속병원19920529000000I2018-08-31 23:59:59.0<NA><NA><NA>의료용<NA><NA><NA><NA><NA>
384385특정고압가스업09_28_14_P3260000197932600490270003119790531<NA>1영업/정상BBBB<NA><NA><NA><NA><NA>051 2406058<NA><NA>부산광역시 서구 암남동 34번지<NA><NA>고신대학교복음병원19790531000000I2018-08-31 23:59:59.0<NA>383621.461145177626.547375의료용<NA><NA><NA><NA><NA>
385386특정고압가스업09_28_14_P3260000197932600490270000619790921<NA>1영업/정상BBBB<NA><NA><NA><NA><NA>051 2560171<NA><NA>부산광역시 서구 아미동1가 10번지<NA><NA>부산대학교병원19790921000000I2018-08-31 23:59:59.0<NA><NA><NA>의료용<NA><NA><NA><NA><NA>
386387특정고압가스업09_28_14_P3250000201932501331220000220191209<NA>1영업/정상BBBB<NA><NA><NA><NA><NA><NA><NA><NA>부산광역시 중구 대청동2가 8-11번지부산광역시 중구 대청로 105 (대청동2가)48933연세365병원20191209113016I2019-12-11 00:23:26.0<NA>385140.996257180133.02689의료용의료용 산소로 사용 액화가스 : 0.338ton 기체가스 : 120㎥3000.0250<NA><NA>
387388특정고압가스업09_28_14_P3250000201932501331220000120190703<NA>1영업/정상BBBB<NA><NA><NA><NA><NA><NA><NA><NA>부산광역시 중구 남포동4가 37-11번지부산광역시 중구 자갈치해안로 62 (남포동4가)48984잠수기중매인40(JSG SEAFOOD)20190703150528I2019-07-05 02:21:29.0<NA>385204.508132179419.032698어패류 산소공급용액화산소가스를 통한 어패류 산소 공급3000.0100<NA><NA>