Overview

Dataset statistics

Number of variables34
Number of observations390
Missing cells4631
Missing cells (%)34.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory111.7 KiB
Average record size in memory293.3 B

Variable types

Numeric11
Categorical7
Unsupported9
Text6
DateTime1

Dataset

Description2021-06-01
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 390 (100.0%) missing valuesMissing
폐업일자 has 335 (85.9%) missing valuesMissing
휴업시작일자 has 390 (100.0%) missing valuesMissing
휴업종료일자 has 390 (100.0%) missing valuesMissing
재개업일자 has 390 (100.0%) missing valuesMissing
소재지전화 has 238 (61.0%) missing valuesMissing
소재지면적 has 390 (100.0%) missing valuesMissing
소재지우편번호 has 390 (100.0%) missing valuesMissing
소재지전체주소 has 35 (9.0%) missing valuesMissing
도로명전체주소 has 39 (10.0%) missing valuesMissing
도로명우편번호 has 281 (72.1%) missing valuesMissing
업태구분명 has 390 (100.0%) missing valuesMissing
좌표정보(x) has 31 (7.9%) missing valuesMissing
좌표정보(y) has 31 (7.9%) missing valuesMissing
사용목적 has 14 (3.6%) missing valuesMissing
사용방법 has 43 (11.0%) missing valuesMissing
월사용량 has 32 (8.2%) missing valuesMissing
수용정원수 has 42 (10.8%) missing valuesMissing
시설사용여부 has 390 (100.0%) missing valuesMissing
Unnamed: 33 has 390 (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 05:06:54.338096
Analysis finished2024-04-17 05:06:55.017390
Duration0.68 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct390
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean195.5
Minimum1
Maximum390
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2024-04-17T14:06:55.076778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile20.45
Q198.25
median195.5
Q3292.75
95-th percentile370.55
Maximum390
Range389
Interquartile range (IQR)194.5

Descriptive statistics

Standard deviation112.72755
Coefficient of variation (CV)0.5766115
Kurtosis-1.2
Mean195.5
Median Absolute Deviation (MAD)97.5
Skewness0
Sum76245
Variance12707.5
MonotonicityStrictly increasing
2024-04-17T14:06:55.197446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
246 1
 
0.3%
268 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%
Other values (380) 380
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 (%)
390 1
0.3%
389 1
0.3%
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%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
특정고압가스업
390 

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 390
100.0%

Length

2024-04-17T14:06:55.306635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:06:55.381579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
특정고압가스업 390
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
09_28_14_P
390 

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 390
100.0%

Length

2024-04-17T14:06:55.462897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:06:55.538265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
09_28_14_p 390
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3340051.3
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2024-04-17T14:06:55.611466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3250000
5-th percentile3260000
Q13310000
median3340000
Q33370000
95-th percentile3400000
Maximum3400000
Range150000
Interquartile range (IQR)60000

Descriptive statistics

Standard deviation41290.213
Coefficient of variation (CV)0.012362149
Kurtosis-0.76198688
Mean3340051.3
Median Absolute Deviation (MAD)30000
Skewness-0.42608913
Sum1.30262 × 109
Variance1.7048817 × 109
MonotonicityNot monotonic
2024-04-17T14:06:55.959887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3340000 67
17.2%
3360000 61
15.6%
3390000 53
13.6%
3400000 24
 
6.2%
3280000 24
 
6.2%
3330000 22
 
5.6%
3290000 22
 
5.6%
3380000 20
 
5.1%
3320000 17
 
4.4%
3350000 16
 
4.1%
Other values (6) 64
16.4%
ValueCountFrequency (%)
3250000 8
 
2.1%
3260000 14
 
3.6%
3270000 9
 
2.3%
3280000 24
 
6.2%
3290000 22
 
5.6%
3300000 11
 
2.8%
3310000 15
 
3.8%
3320000 17
 
4.4%
3330000 22
 
5.6%
3340000 67
17.2%
ValueCountFrequency (%)
3400000 24
 
6.2%
3390000 53
13.6%
3380000 20
 
5.1%
3370000 7
 
1.8%
3360000 61
15.6%
3350000 16
 
4.1%
3340000 67
17.2%
3330000 22
 
5.6%
3320000 17
 
4.4%
3310000 15
 
3.8%

관리번호
Real number (ℝ)

UNIQUE 

Distinct390
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0075622 × 1018
Minimum1.973335 × 1018
Maximum2.021338 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2024-04-17T14:06:56.081799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.973335 × 1018
5-th percentile1.979328 × 1018
Q12.0013258 × 1018
median2.0108325 × 1018
Q32.018333 × 1018
95-th percentile2.0198834 × 1018
Maximum2.021338 × 1018
Range4.8003 × 1016
Interquartile range (IQR)1.7007262 × 1016

Descriptive statistics

Standard deviation1.2250621 × 1016
Coefficient of variation (CV)0.0061022371
Kurtosis0.13441008
Mean2.0075622 × 1018
Median Absolute Deviation (MAD)7.5060017 × 1015
Skewness-1.0044277
Sum8.1860135 × 1018
Variance1.5007771 × 1032
MonotonicityNot monotonic
2024-04-17T14:06:56.203913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2017340010912200004 1
 
0.3%
2020336014512200001 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%
2008336008212200001 1
 
0.3%
Other values (380) 380
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%
2021333015112200001 1
0.3%
2021331011912200001 1
0.3%
2021330011012200001 1
0.3%
2020340010912200001 1
0.3%
2020339009112200001 1
0.3%
2020338008212200001 1
0.3%
2020336014512200004 1
0.3%
2020336014512200003 1
0.3%

인허가일자
Real number (ℝ)

Distinct350
Distinct (%)89.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20072696
Minimum19730801
Maximum20210428
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2024-04-17T14:06:56.326477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19730801
5-th percentile19790616
Q120001054
median20110163
Q320180892
95-th percentile20196109
Maximum20210428
Range479627
Interquartile range (IQR)179837.75

Descriptive statistics

Standard deviation123115.84
Coefficient of variation (CV)0.0061334981
Kurtosis0.081595193
Mean20072696
Median Absolute Deviation (MAD)79136
Skewness-0.99682247
Sum7.8283513 × 109
Variance1.515751 × 1010
MonotonicityNot monotonic
2024-04-17T14:06:56.448226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20190612 4
 
1.0%
20180913 4
 
1.0%
20190213 3
 
0.8%
19790607 3
 
0.8%
20040513 3
 
0.8%
20170123 3
 
0.8%
19790409 2
 
0.5%
19851025 2
 
0.5%
19790412 2
 
0.5%
20170518 2
 
0.5%
Other values (340) 362
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 (%)
20210428 1
0.3%
20210426 1
0.3%
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%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing390
Missing (%)100.0%
Memory size3.6 KiB

영업상태구분코드
Categorical

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
1
192 
2
138 
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
49.2%
2 138
35.4%
3 60
 
15.4%

Length

2024-04-17T14:06:56.554381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:06:56.636474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 192
49.2%
2 138
35.4%
3 60
 
15.4%

영업상태명
Categorical

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
영업/정상
192 
휴업
138 
폐업
60 

Length

Max length5
Median length2
Mean length3.4769231
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 192
49.2%
휴업 138
35.4%
폐업 60
 
15.4%

Length

2024-04-17T14:06:56.729408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:06:56.822403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 192
49.2%
휴업 138
35.4%
폐업 60
 
15.4%

상세영업상태코드
Categorical

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
BBBB
192 
1
138 
2
60 

Length

Max length4
Median length1
Mean length2.4769231
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
BBBB 192
49.2%
1 138
35.4%
2 60
 
15.4%

Length

2024-04-17T14:06:56.923408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:06:57.022250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
bbbb 192
49.2%
1 138
35.4%
2 60
 
15.4%

상세영업상태명
Categorical

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
<NA>
192 
휴업처리
138 
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
49.2%
휴업처리 138
35.4%
폐업처리 60
 
15.4%

Length

2024-04-17T14:06:57.108426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:06:57.189210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 192
49.2%
휴업처리 138
35.4%
폐업처리 60
 
15.4%

폐업일자
Real number (ℝ)

MISSING 

Distinct50
Distinct (%)90.9%
Missing335
Missing (%)85.9%
Infinite0
Infinite (%)0.0%
Mean19660431
Minimum11111111
Maximum20201229
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2024-04-17T14:06:57.291718image/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
2024-04-17T14:06:57.423179image/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) 335
85.9%
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 

Missing390
Missing (%)100.0%
Memory size3.6 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing390
Missing (%)100.0%
Memory size3.6 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing390
Missing (%)100.0%
Memory size3.6 KiB

소재지전화
Text

MISSING 

Distinct142
Distinct (%)93.4%
Missing238
Missing (%)61.0%
Memory size3.2 KiB
2024-04-17T14:06:57.630792image/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%
2024-04-17T14:06:57.958376image/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 

Missing390
Missing (%)100.0%
Memory size3.6 KiB

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing390
Missing (%)100.0%
Memory size3.6 KiB

소재지전체주소
Text

MISSING 

Distinct329
Distinct (%)92.7%
Missing35
Missing (%)9.0%
Memory size3.2 KiB
2024-04-17T14:06:58.213874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length32
Mean length22.619718
Min length13

Characters and Unicode

Total characters8030
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

Unique307 ?
Unique (%)86.5%

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 355
23.2%
사하구 61
 
4.0%
강서구 60
 
3.9%
송정동 44
 
2.9%
사상구 42
 
2.7%
기장군 24
 
1.6%
영도구 23
 
1.5%
부산진구 22
 
1.4%
수영구 20
 
1.3%
다대동 20
 
1.3%
Other values (498) 862
56.2%
2024-04-17T14:06:58.602857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1194
 
14.9%
산 406
 
5.1%
부 389
 
4.8%
동 369
 
4.6%
광 366
 
4.6%
시 359
 
4.5%
역 355
 
4.4%
구 347
 
4.3%
지 344
 
4.3%
1 344
 
4.3%
Other values (201) 3557
44.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5019
62.5%
Decimal Number 1516
 
18.9%
Space Separator 1194
 
14.9%
Dash Punctuation 278
 
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 406
 
8.1%
부 389
 
7.8%
동 369
 
7.4%
광 366
 
7.3%
시 359
 
7.2%
역 355
 
7.1%
구 347
 
6.9%
지 344
 
6.9%
번 337
 
6.7%
사 113
 
2.3%
Other values (176) 1634
32.6%
Decimal Number
ValueCountFrequency (%)
1 344
22.7%
2 181
11.9%
3 154
10.2%
5 145
9.6%
4 137
 
9.0%
0 121
 
8.0%
6 115
 
7.6%
7 111
 
7.3%
8 109
 
7.2%
9 99
 
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 (%)
1194
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 278
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 5019
62.5%
Common 2996
37.3%
Latin 15
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 406
 
8.1%
부 389
 
7.8%
동 369
 
7.4%
광 366
 
7.3%
시 359
 
7.2%
역 355
 
7.1%
구 347
 
6.9%
지 344
 
6.9%
번 337
 
6.7%
사 113
 
2.3%
Other values (176) 1634
32.6%
Common
ValueCountFrequency (%)
1194
39.9%
1 344
 
11.5%
- 278
 
9.3%
2 181
 
6.0%
3 154
 
5.1%
5 145
 
4.8%
4 137
 
4.6%
0 121
 
4.0%
6 115
 
3.8%
7 111
 
3.7%
Other values (4) 216
 
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 5019
62.5%
ASCII 3011
37.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1194
39.7%
1 344
 
11.4%
- 278
 
9.2%
2 181
 
6.0%
3 154
 
5.1%
5 145
 
4.8%
4 137
 
4.5%
0 121
 
4.0%
6 115
 
3.8%
7 111
 
3.7%
Other values (15) 231
 
7.7%
Hangul
ValueCountFrequency (%)
산 406
 
8.1%
부 389
 
7.8%
동 369
 
7.4%
광 366
 
7.3%
시 359
 
7.2%
역 355
 
7.1%
구 347
 
6.9%
지 344
 
6.9%
번 337
 
6.7%
사 113
 
2.3%
Other values (176) 1634
32.6%

도로명전체주소
Text

MISSING 

Distinct316
Distinct (%)90.0%
Missing39
Missing (%)10.0%
Memory size3.2 KiB
2024-04-17T14:06:58.925849image/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%
2024-04-17T14:06:59.362297image/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%
Missing281
Missing (%)72.1%
Infinite0
Infinite (%)0.0%
Mean47601.165
Minimum46017
Maximum49524
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2024-04-17T14:06:59.489172image/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
2024-04-17T14:06:59.622785image/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
 
20.3%
(Missing) 281
72.1%
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

Distinct346
Distinct (%)88.7%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2024-04-17T14:06:59.820547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length23
Mean length8.1871795
Min length3

Characters and Unicode

Total characters3193
Distinct characters323
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique311 ?
Unique (%)79.7%

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%
인당의료재단 4
 
0.8%
부산대학교병원 4
 
0.8%
부곡스텐레스(주 3
 
0.6%
대림금속레이저 3
 
0.6%
화명일신기독병원 3
 
0.6%
광진실업(주 3
 
0.6%
해동산업 3
 
0.6%
주)성일터빈 3
 
0.6%
Other values (390) 427
90.1%
2024-04-17T14:07:00.148868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
) 150
 
4.7%
( 148
 
4.6%
주 144
 
4.5%
원 140
 
4.4%
병 126
 
3.9%
84
 
2.6%
산 74
 
2.3%
부 61
 
1.9%
업 61
 
1.9%
대 60
 
1.9%
Other values (313) 2145
67.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2748
86.1%
Close Punctuation 150
 
4.7%
Open Punctuation 148
 
4.6%
Space Separator 84
 
2.6%
Uppercase Letter 31
 
1.0%
Decimal Number 25
 
0.8%
Other Symbol 3
 
0.1%
Other Punctuation 3
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 144
 
5.2%
원 140
 
5.1%
병 126
 
4.6%
산 74
 
2.7%
부 61
 
2.2%
업 61
 
2.2%
대 60
 
2.2%
의 54
 
2.0%
동 52
 
1.9%
공 49
 
1.8%
Other values (281) 1927
70.1%
Uppercase Letter
ValueCountFrequency (%)
S 11
35.5%
G 4
 
12.9%
T 3
 
9.7%
O 2
 
6.5%
H 1
 
3.2%
B 1
 
3.2%
F 1
 
3.2%
A 1
 
3.2%
E 1
 
3.2%
J 1
 
3.2%
Other values (5) 5
16.1%
Decimal Number
ValueCountFrequency (%)
2 6
24.0%
6 5
20.0%
3 4
16.0%
7 4
16.0%
1 1
 
4.0%
0 1
 
4.0%
4 1
 
4.0%
5 1
 
4.0%
9 1
 
4.0%
8 1
 
4.0%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
& 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 150
100.0%
Open Punctuation
ValueCountFrequency (%)
( 148
100.0%
Space Separator
ValueCountFrequency (%)
84
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2751
86.2%
Common 411
 
12.9%
Latin 31
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 144
 
5.2%
원 140
 
5.1%
병 126
 
4.6%
산 74
 
2.7%
부 61
 
2.2%
업 61
 
2.2%
대 60
 
2.2%
의 54
 
2.0%
동 52
 
1.9%
공 49
 
1.8%
Other values (282) 1930
70.2%
Common
ValueCountFrequency (%)
) 150
36.5%
( 148
36.0%
84
20.4%
2 6
 
1.5%
6 5
 
1.2%
3 4
 
1.0%
7 4
 
1.0%
. 2
 
0.5%
1 1
 
0.2%
0 1
 
0.2%
Other values (6) 6
 
1.5%
Latin
ValueCountFrequency (%)
S 11
35.5%
G 4
 
12.9%
T 3
 
9.7%
O 2
 
6.5%
H 1
 
3.2%
B 1
 
3.2%
F 1
 
3.2%
A 1
 
3.2%
E 1
 
3.2%
J 1
 
3.2%
Other values (5) 5
16.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2748
86.1%
ASCII 442
 
13.8%
None 3
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
) 150
33.9%
( 148
33.5%
84
19.0%
S 11
 
2.5%
2 6
 
1.4%
6 5
 
1.1%
G 4
 
0.9%
3 4
 
0.9%
7 4
 
0.9%
T 3
 
0.7%
Other values (21) 23
 
5.2%
Hangul
ValueCountFrequency (%)
주 144
 
5.2%
원 140
 
5.1%
병 126
 
4.6%
산 74
 
2.7%
부 61
 
2.2%
업 61
 
2.2%
대 60
 
2.2%
의 54
 
2.0%
동 52
 
1.9%
공 49
 
1.8%
Other values (281) 1927
70.1%
None
ValueCountFrequency (%)
㈜ 3
100.0%

최종수정시점
Real number (ℝ)

Distinct386
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0128674 × 1013
Minimum1.9770527 × 1013
Maximum2.0210428 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2024-04-17T14:07:00.273890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.9770527 × 1013
5-th percentile1.9940847 × 1013
Q12.0120718 × 1013
median2.0150363 × 1013
Q32.019011 × 1013
95-th percentile2.0200423 × 1013
Maximum2.0210428 × 1013
Range4.3990118 × 1011
Interquartile range (IQR)6.9392007 × 1010

Descriptive statistics

Standard deviation8.5469738 × 1010
Coefficient of variation (CV)0.0042461683
Kurtosis6.0369089
Mean2.0128674 × 1013
Median Absolute Deviation (MAD)3.9238519 × 1010
Skewness-2.3523824
Sum7.8501829 × 1015
Variance7.3050762 × 1021
MonotonicityNot monotonic
2024-04-17T14:07:00.397983image/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%
20141016180035 1
 
0.3%
20070521000000 1
 
0.3%
20070927100748 1
 
0.3%
20071115113838 1
 
0.3%
20080820134525 1
 
0.3%
20081217170250 1
 
0.3%
Other values (376) 376
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 (%)
20210428182102 1
0.3%
20210427093935 1
0.3%
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%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
I
340 
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 340
87.2%
U 50
 
12.8%

Length

2024-04-17T14:07:00.501605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:07:00.584755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 340
87.2%
u 50
 
12.8%

데이터갱신일자
Date

Distinct106
Distinct (%)27.2%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
Minimum2018-08-31 23:59:59
Maximum2021-04-30 00:22:57
2024-04-17T14:07:00.681261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T14:07:00.796527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing390
Missing (%)100.0%
Memory size3.6 KiB

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct313
Distinct (%)87.2%
Missing31
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean384017.95
Minimum366383.29
Maximum409066.55
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2024-04-17T14:07:00.913000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum366383.29
5-th percentile368484.11
Q1379686.51
median382929.51
Q3389640.46
95-th percentile398556.66
Maximum409066.55
Range42683.268
Interquartile range (IQR)9953.9517

Descriptive statistics

Standard deviation8524.3203
Coefficient of variation (CV)0.022197713
Kurtosis0.12777176
Mean384017.95
Median Absolute Deviation (MAD)4556.7248
Skewness0.14153547
Sum1.3786244 × 108
Variance72664036
MonotonicityNot monotonic
2024-04-17T14:07:01.029176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
384030.498741004 4
 
1.0%
379057.4468593 4
 
1.0%
378147.041737072 4
 
1.0%
387182.187834 3
 
0.8%
368484.114375775 3
 
0.8%
379773.726121275 3
 
0.8%
382776.595655929 3
 
0.8%
385352.27433351 2
 
0.5%
398749.005508548 2
 
0.5%
393169.639299719 2
 
0.5%
Other values (303) 329
84.4%
(Missing) 31
 
7.9%
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 

Distinct313
Distinct (%)87.2%
Missing31
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean184806.79
Minimum174044.03
Maximum211024.89
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2024-04-17T14:07:01.154944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum174044.03
5-th percentile175514.46
Q1178889.88
median184267.29
Q3189014.76
95-th percentile199912.91
Maximum211024.89
Range36980.854
Interquartile range (IQR)10124.889

Descriptive statistics

Standard deviation7535.4009
Coefficient of variation (CV)0.040774481
Kurtosis1.3208489
Mean184806.79
Median Absolute Deviation (MAD)5278.8804
Skewness1.1198044
Sum66345637
Variance56782266
MonotonicityNot monotonic
2024-04-17T14:07:01.532771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
179806.024724594 4
 
1.0%
178888.302700248 4
 
1.0%
192455.311143916 4
 
1.0%
184044.491647 3
 
0.8%
178664.085426637 3
 
0.8%
185666.694850202 3
 
0.8%
194771.604134444 3
 
0.8%
179520.127151419 2
 
0.5%
188211.683012763 2
 
0.5%
189392.463555486 2
 
0.5%
Other values (303) 329
84.4%
(Missing) 31
 
7.9%
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 

Distinct143
Distinct (%)38.0%
Missing14
Missing (%)3.6%
Memory size3.2 KiB
2024-04-17T14:07:01.735212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length15
Mean length4.8005319
Min length1

Characters and Unicode

Total characters1805
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 (%)28.2%

Sample

1st row양어장산소공급
2nd row소독
3rd row용접
4th row영업용 수족관 산소공급
5th row산업용(열처리)
ValueCountFrequency (%)
의료용 110
21.0%
절단용 29
 
5.5%
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 (150) 240
45.8%
2024-04-17T14:07:02.062700image/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%
공 63
 
3.5%
리 61
 
3.4%
처 60
 
3.3%
열 58
 
3.2%
Other values (130) 733
40.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1581
87.6%
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
17.9%
료 124
 
7.8%
의 121
 
7.7%
절 78
 
4.9%
단 76
 
4.8%
공 63
 
4.0%
리 61
 
3.9%
처 60
 
3.8%
열 58
 
3.7%
산 53
 
3.4%
Other values (106) 604
38.2%
Lowercase Letter
ValueCountFrequency (%)
i 4
12.9%
c 4
12.9%
e 3
9.7%
a 3
9.7%
u 2
 
6.5%
m 2
 
6.5%
g 2
 
6.5%
l 2
 
6.5%
r 2
 
6.5%
w 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 1581
87.6%
Common 191
 
10.6%
Latin 33
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
용 283
17.9%
료 124
 
7.8%
의 121
 
7.7%
절 78
 
4.9%
단 76
 
4.8%
공 63
 
4.0%
리 61
 
3.9%
처 60
 
3.8%
열 58
 
3.7%
산 53
 
3.4%
Other values (106) 604
38.2%
Latin
ValueCountFrequency (%)
i 4
12.1%
c 4
12.1%
e 3
9.1%
a 3
9.1%
R 2
 
6.1%
u 2
 
6.1%
m 2
 
6.1%
g 2
 
6.1%
l 2
 
6.1%
r 2
 
6.1%
Other values (5) 7
21.2%
Common
ValueCountFrequency (%)
148
77.5%
, 13
 
6.8%
( 7
 
3.7%
) 7
 
3.7%
0 4
 
2.1%
. 4
 
2.1%
2 4
 
2.1%
1 3
 
1.6%
: 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1581
87.6%
ASCII 224
 
12.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
용 283
17.9%
료 124
 
7.8%
의 121
 
7.7%
절 78
 
4.9%
단 76
 
4.8%
공 63
 
4.0%
리 61
 
3.9%
처 60
 
3.8%
열 58
 
3.7%
산 53
 
3.4%
Other values (106) 604
38.2%
ASCII
ValueCountFrequency (%)
148
66.1%
, 13
 
5.8%
( 7
 
3.1%
) 7
 
3.1%
0 4
 
1.8%
. 4
 
1.8%
2 4
 
1.8%
i 4
 
1.8%
c 4
 
1.8%
e 3
 
1.3%
Other values (14) 26
 
11.6%

사용방법
Text

MISSING 

Distinct216
Distinct (%)62.2%
Missing43
Missing (%)11.0%
Memory size3.2 KiB
2024-04-17T14:07:02.331571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length73
Median length61
Mean length8.5244957
Min length1

Characters and Unicode

Total characters2958
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

Unique179 ?
Unique (%)51.6%

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%
용기 11
 
1.5%
Other values (328) 526
73.5%
2024-04-17T14:07:02.742862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
348
 
11.8%
용 223
 
7.5%
소 91
 
3.1%
기 88
 
3.0%
산 79
 
2.7%
의 62
 
2.1%
료 59
 
2.0%
공 54
 
1.8%
0 52
 
1.8%
화 47
 
1.6%
Other values (241) 1855
62.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2081
70.4%
Space Separator 348
 
11.8%
Decimal Number 240
 
8.1%
Other Punctuation 81
 
2.7%
Lowercase Letter 80
 
2.7%
Open Punctuation 31
 
1.0%
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
 
10.7%
소 91
 
4.4%
기 88
 
4.2%
산 79
 
3.8%
의 62
 
3.0%
료 59
 
2.8%
공 54
 
2.6%
화 47
 
2.3%
사 46
 
2.2%
장 44
 
2.1%
Other values (190) 1288
61.9%
Lowercase Letter
ValueCountFrequency (%)
g 22
27.5%
k 20
25.0%
c 4
 
5.0%
m 4
 
5.0%
i 4
 
5.0%
n 3
 
3.8%
a 3
 
3.8%
e 3
 
3.8%
t 2
 
2.5%
o 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%
T 1
 
9.1%
B 1
 
9.1%
C 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 2081
70.4%
Common 786
 
26.6%
Latin 91
 
3.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
용 223
 
10.7%
소 91
 
4.4%
기 88
 
4.2%
산 79
 
3.8%
의 62
 
3.0%
료 59
 
2.8%
공 54
 
2.6%
화 47
 
2.3%
사 46
 
2.2%
장 44
 
2.1%
Other values (190) 1288
61.9%
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%
c 4
 
4.4%
m 4
 
4.4%
i 4
 
4.4%
n 3
 
3.3%
L 3
 
3.3%
a 3
 
3.3%
e 3
 
3.3%
t 2
 
2.2%
Other values (15) 23
25.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2079
70.3%
ASCII 868
29.3%
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%
g 22
 
2.5%
8 22
 
2.5%
Other values (39) 224
25.8%
Hangul
ValueCountFrequency (%)
용 223
 
10.7%
소 91
 
4.4%
기 88
 
4.2%
산 79
 
3.8%
의 62
 
3.0%
료 59
 
2.8%
공 54
 
2.6%
화 47
 
2.3%
사 46
 
2.2%
장 44
 
2.1%
Other values (189) 1286
61.9%
CJK Compat
ValueCountFrequency (%)
㎥ 6
100.0%
Arrows
ValueCountFrequency (%)
→ 3
100.0%
Compat Jamo
ValueCountFrequency (%)
ㄴ 2
100.0%

월사용량
Real number (ℝ)

MISSING  ZEROS 

Distinct131
Distinct (%)36.6%
Missing32
Missing (%)8.2%
Infinite0
Infinite (%)0.0%
Mean41728.748
Minimum0
Maximum5000000
Zeros17
Zeros (%)4.4%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2024-04-17T14:07:02.883430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1905
Q1125
median600
Q32075
95-th percentile10000
Maximum5000000
Range5000000
Interquartile range (IQR)1950

Descriptive statistics

Standard deviation434101.21
Coefficient of variation (CV)10.402929
Kurtosis116.62342
Mean41728.748
Median Absolute Deviation (MAD)594
Skewness10.853243
Sum14938892
Variance1.8844386 × 1011
MonotonicityNot monotonic
2024-04-17T14:07:03.008457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2000.0 20
 
5.1%
0.0 17
 
4.4%
3000.0 17
 
4.4%
1.0 15
 
3.8%
200.0 12
 
3.1%
10.0 10
 
2.6%
1000.0 10
 
2.6%
500.0 10
 
2.6%
10000.0 10
 
2.6%
1500.0 9
 
2.3%
Other values (121) 228
58.5%
(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
3.8%
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 (%)23.6%
Missing42
Missing (%)10.8%
Infinite0
Infinite (%)0.0%
Mean86.66092
Minimum0
Maximum1500
Zeros37
Zeros (%)9.5%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2024-04-17T14:07:03.122473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median15
Q3100
95-th percentile363
Maximum1500
Range1500
Interquartile range (IQR)95

Descriptive statistics

Standard deviation166.1628
Coefficient of variation (CV)1.9173902
Kurtosis26.144461
Mean86.66092
Median Absolute Deviation (MAD)15
Skewness4.2982114
Sum30158
Variance27610.075
MonotonicityNot monotonic
2024-04-17T14:07:03.235535image/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 31
 
7.9%
100 23
 
5.9%
3 17
 
4.4%
50 16
 
4.1%
20 14
 
3.6%
1 13
 
3.3%
250 10
 
2.6%
200 9
 
2.3%
Other values (72) 141
36.2%
(Missing) 42
 
10.8%
ValueCountFrequency (%)
0 37
9.5%
1 13
 
3.3%
2 7
 
1.8%
3 17
4.4%
4 6
 
1.5%
5 31
7.9%
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 

Missing390
Missing (%)100.0%
Memory size3.6 KiB

Unnamed: 33
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing390
Missing (%)100.0%
Memory size3.6 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
380381특정고압가스업09_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>
381382특정고압가스업09_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>
382383특정고압가스업09_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>
383384특정고압가스업09_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>
384385특정고압가스업09_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>
385386특정고압가스업09_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>
386387특정고압가스업09_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>
387388특정고압가스업09_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>
388389특정고압가스업09_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>
389390특정고압가스업09_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>