Overview

Dataset statistics

Number of variables34
Number of observations385
Missing cells4570
Missing cells (%)34.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory110.3 KiB
Average record size in memory293.3 B

Variable types

Numeric11
Categorical7
Unsupported9
Text6
DateTime1

Dataset

Description2021-04-01
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 385 (100.0%) missing valuesMissing
폐업일자 has 330 (85.7%) missing valuesMissing
휴업시작일자 has 385 (100.0%) missing valuesMissing
휴업종료일자 has 385 (100.0%) missing valuesMissing
재개업일자 has 385 (100.0%) missing valuesMissing
소재지전화 has 233 (60.5%) missing valuesMissing
소재지면적 has 385 (100.0%) missing valuesMissing
소재지우편번호 has 385 (100.0%) missing valuesMissing
소재지전체주소 has 35 (9.1%) missing valuesMissing
도로명전체주소 has 36 (9.4%) missing valuesMissing
도로명우편번호 has 278 (72.2%) missing valuesMissing
업태구분명 has 385 (100.0%) missing valuesMissing
좌표정보(x) has 31 (8.1%) missing valuesMissing
좌표정보(y) has 31 (8.1%) missing valuesMissing
사용목적 has 14 (3.6%) missing valuesMissing
사용방법 has 43 (11.2%) missing valuesMissing
월사용량 has 32 (8.3%) missing valuesMissing
수용정원수 has 42 (10.9%) missing valuesMissing
시설사용여부 has 385 (100.0%) missing valuesMissing
Unnamed: 33 has 385 (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 36 (9.4%) zerosZeros

Reproduction

Analysis started2024-04-17 05:07:14.529879
Analysis finished2024-04-17 05:07:15.172919
Duration0.64 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct385
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean193
Minimum1
Maximum385
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-04-17T14:07:15.232766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile20.2
Q197
median193
Q3289
95-th percentile365.8
Maximum385
Range384
Interquartile range (IQR)192

Descriptive statistics

Standard deviation111.28417
Coefficient of variation (CV)0.57660192
Kurtosis-1.2
Mean193
Median Absolute Deviation (MAD)96
Skewness0
Sum74305
Variance12384.167
MonotonicityStrictly increasing
2024-04-17T14:07:15.382529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
290 1
 
0.3%
264 1
 
0.3%
263 1
 
0.3%
262 1
 
0.3%
261 1
 
0.3%
260 1
 
0.3%
259 1
 
0.3%
258 1
 
0.3%
257 1
 
0.3%
Other values (375) 375
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 (%)
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%
378 1
0.3%
377 1
0.3%
376 1
0.3%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
특정고압가스업
385 

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 385
100.0%

Length

2024-04-17T14:07:15.504340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:07:15.579171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
특정고압가스업 385
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
09_28_14_P
385 

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 385
100.0%

Length

2024-04-17T14:07:15.659191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:07:15.736722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
09_28_14_p 385
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3340077.9
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-04-17T14:07:16.076206image/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 deviation41398.019
Coefficient of variation (CV)0.012394327
Kurtosis-0.76112412
Mean3340077.9
Median Absolute Deviation (MAD)30000
Skewness-0.43017724
Sum1.28593 × 109
Variance1.713796 × 109
MonotonicityNot monotonic
2024-04-17T14:07:16.172802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3340000 67
17.4%
3360000 61
15.8%
3390000 53
13.8%
3400000 24
 
6.2%
3280000 24
 
6.2%
3290000 22
 
5.7%
3330000 21
 
5.5%
3380000 19
 
4.9%
3320000 17
 
4.4%
3350000 16
 
4.2%
Other values (6) 61
15.8%
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 14
 
3.6%
3320000 17
 
4.4%
3330000 21
 
5.5%
3340000 67
17.4%
ValueCountFrequency (%)
3400000 24
 
6.2%
3390000 53
13.8%
3380000 19
 
4.9%
3370000 6
 
1.6%
3360000 61
15.8%
3350000 16
 
4.2%
3340000 67
17.4%
3330000 21
 
5.5%
3320000 17
 
4.4%
3310000 14
 
3.6%

관리번호
Real number (ℝ)

UNIQUE 

Distinct385
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0073834 × 1018
Minimum1.973335 × 1018
Maximum2.02034 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-04-17T14:07:16.298414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.973335 × 1018
5-th percentile1.979328 × 1018
Q12.000338 × 1018
median2.010336 × 1018
Q32.018332 × 1018
95-th percentile2.019339 × 1018
Maximum2.02034 × 1018
Range4.7005003 × 1016
Interquartile range (IQR)1.7994002 × 1016

Descriptive statistics

Standard deviation1.2228258 × 1016
Coefficient of variation (CV)0.0060916404
Kurtosis0.11776763
Mean2.0073834 × 1018
Median Absolute Deviation (MAD)8.0000063 × 1015
Skewness-0.99775317
Sum-1.9206556 × 1018
Variance1.4953028 × 1032
MonotonicityNot monotonic
2024-04-17T14:07:16.448427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2017340010912200004 1
 
0.3%
2014334008012200003 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 (375) 375
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 (%)
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%
2020335011212200001 1
0.3%
2020334013112200003 1
0.3%
2020334013112200002 1
0.3%

인허가일자
Real number (ℝ)

Distinct345
Distinct (%)89.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20070908
Minimum19730801
Maximum20201229
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-04-17T14:07:16.569951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19730801
5-th percentile19790611
Q120000929
median20100830
Q320180426
95-th percentile20190989
Maximum20201229
Range470428
Interquartile range (IQR)179497

Descriptive statistics

Standard deviation122902.01
Coefficient of variation (CV)0.0061233909
Kurtosis0.06400132
Mean20070908
Median Absolute Deviation (MAD)80196
Skewness-0.98967233
Sum7.7272995 × 109
Variance1.5104905 × 1010
MonotonicityNot monotonic
2024-04-17T14:07:16.692887image/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 (335) 357
92.7%
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 (%)
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%
20200422 1
0.3%
20200317 1
0.3%
20200316 1
0.3%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing385
Missing (%)100.0%
Memory size3.5 KiB

영업상태구분코드
Categorical

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
1
190 
2
135 
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 (%)
1 190
49.4%
2 135
35.1%
3 60
 
15.6%

Length

2024-04-17T14:07:16.797948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:07:16.893139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 190
49.4%
2 135
35.1%
3 60
 
15.6%

영업상태명
Categorical

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
영업/정상
190 
휴업
135 
폐업
60 

Length

Max length5
Median length2
Mean length3.4805195
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 190
49.4%
휴업 135
35.1%
폐업 60
 
15.6%

Length

2024-04-17T14:07:16.985214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:07:17.082981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 190
49.4%
휴업 135
35.1%
폐업 60
 
15.6%

상세영업상태코드
Categorical

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
BBBB
190 
1
135 
2
60 

Length

Max length4
Median length1
Mean length2.4805195
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
BBBB 190
49.4%
1 135
35.1%
2 60
 
15.6%

Length

2024-04-17T14:07:17.200636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:07:17.295042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
bbbb 190
49.4%
1 135
35.1%
2 60
 
15.6%

상세영업상태명
Categorical

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
<NA>
190 
휴업처리
135 
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> 190
49.4%
휴업처리 135
35.1%
폐업처리 60
 
15.6%

Length

2024-04-17T14:07:17.393801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:07:17.479090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 190
49.4%
휴업처리 135
35.1%
폐업처리 60
 
15.6%

폐업일자
Real number (ℝ)

MISSING 

Distinct50
Distinct (%)90.9%
Missing330
Missing (%)85.7%
Infinite0
Infinite (%)0.0%
Mean19660431
Minimum11111111
Maximum20201229
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-04-17T14:07:17.592661image/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
2024-04-17T14:07:17.735632image/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
 
10.4%
(Missing) 330
85.7%
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 

Missing385
Missing (%)100.0%
Memory size3.5 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing385
Missing (%)100.0%
Memory size3.5 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing385
Missing (%)100.0%
Memory size3.5 KiB

소재지전화
Text

MISSING 

Distinct142
Distinct (%)93.4%
Missing233
Missing (%)60.5%
Memory size3.1 KiB
2024-04-17T14:07:17.948490image/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%
2024-04-17T14:07:18.275005image/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 

Missing385
Missing (%)100.0%
Memory size3.5 KiB

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing385
Missing (%)100.0%
Memory size3.5 KiB

소재지전체주소
Text

MISSING 

Distinct324
Distinct (%)92.6%
Missing35
Missing (%)9.1%
Memory size3.1 KiB
2024-04-17T14:07:18.548870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length32
Mean length22.608571
Min length13

Characters and Unicode

Total characters7913
Distinct characters206
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

Unique302 ?
Unique (%)86.3%

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 350
23.2%
사하구 61
 
4.0%
강서구 60
 
4.0%
송정동 44
 
2.9%
사상구 42
 
2.8%
기장군 24
 
1.6%
영도구 23
 
1.5%
부산진구 22
 
1.5%
다대동 20
 
1.3%
수영구 19
 
1.3%
Other values (488) 844
55.9%
2024-04-17T14:07:18.924104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1175
 
14.8%
산 401
 
5.1%
부 384
 
4.9%
동 362
 
4.6%
광 361
 
4.6%
시 354
 
4.5%
역 350
 
4.4%
지 344
 
4.3%
구 342
 
4.3%
번 337
 
4.3%
Other values (196) 3503
44.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4950
62.6%
Decimal Number 1492
 
18.9%
Space Separator 1175
 
14.8%
Dash Punctuation 274
 
3.5%
Uppercase Letter 13
 
0.2%
Close Punctuation 4
 
0.1%
Open Punctuation 4
 
0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 401
 
8.1%
부 384
 
7.8%
동 362
 
7.3%
광 361
 
7.3%
시 354
 
7.2%
역 350
 
7.1%
지 344
 
6.9%
구 342
 
6.9%
번 337
 
6.8%
사 112
 
2.3%
Other values (172) 1603
32.4%
Decimal Number
ValueCountFrequency (%)
1 335
22.5%
2 178
11.9%
3 153
10.3%
5 143
9.6%
4 136
9.1%
0 120
 
8.0%
6 114
 
7.6%
7 109
 
7.3%
8 107
 
7.2%
9 97
 
6.5%
Uppercase Letter
ValueCountFrequency (%)
B 3
23.1%
S 2
15.4%
L 2
15.4%
H 1
 
7.7%
K 1
 
7.7%
W 1
 
7.7%
E 1
 
7.7%
I 1
 
7.7%
V 1
 
7.7%
Space Separator
ValueCountFrequency (%)
1175
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 274
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Lowercase Letter
ValueCountFrequency (%)
i 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4950
62.6%
Common 2949
37.3%
Latin 14
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 401
 
8.1%
부 384
 
7.8%
동 362
 
7.3%
광 361
 
7.3%
시 354
 
7.2%
역 350
 
7.1%
지 344
 
6.9%
구 342
 
6.9%
번 337
 
6.8%
사 112
 
2.3%
Other values (172) 1603
32.4%
Common
ValueCountFrequency (%)
1175
39.8%
1 335
 
11.4%
- 274
 
9.3%
2 178
 
6.0%
3 153
 
5.2%
5 143
 
4.8%
4 136
 
4.6%
0 120
 
4.1%
6 114
 
3.9%
7 109
 
3.7%
Other values (4) 212
 
7.2%
Latin
ValueCountFrequency (%)
B 3
21.4%
S 2
14.3%
L 2
14.3%
H 1
 
7.1%
i 1
 
7.1%
K 1
 
7.1%
W 1
 
7.1%
E 1
 
7.1%
I 1
 
7.1%
V 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4950
62.6%
ASCII 2963
37.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1175
39.7%
1 335
 
11.3%
- 274
 
9.2%
2 178
 
6.0%
3 153
 
5.2%
5 143
 
4.8%
4 136
 
4.6%
0 120
 
4.0%
6 114
 
3.8%
7 109
 
3.7%
Other values (14) 226
 
7.6%
Hangul
ValueCountFrequency (%)
산 401
 
8.1%
부 384
 
7.8%
동 362
 
7.3%
광 361
 
7.3%
시 354
 
7.2%
역 350
 
7.1%
지 344
 
6.9%
구 342
 
6.9%
번 337
 
6.8%
사 112
 
2.3%
Other values (172) 1603
32.4%

도로명전체주소
Text

MISSING 

Distinct314
Distinct (%)90.0%
Missing36
Missing (%)9.4%
Memory size3.1 KiB
2024-04-17T14:07:19.256357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length38
Mean length26.581662
Min length20

Characters and Unicode

Total characters9277
Distinct characters226
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

Unique286 ?
Unique (%)81.9%

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 349
 
19.3%
사하구 66
 
3.6%
사상구 53
 
2.9%
강서구 51
 
2.8%
송정동 38
 
2.1%
영도구 21
 
1.2%
학장동 21
 
1.2%
다대동 20
 
1.1%
기장군 20
 
1.1%
수영구 19
 
1.0%
Other values (557) 1154
63.7%
2024-04-17T14:07:19.702888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1520
 
16.4%
산 486
 
5.2%
동 397
 
4.3%
부 388
 
4.2%
광 371
 
4.0%
시 355
 
3.8%
구 352
 
3.8%
역 349
 
3.8%
로 342
 
3.7%
) 334
 
3.6%
Other values (216) 4383
47.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5744
61.9%
Space Separator 1520
 
16.4%
Decimal Number 1255
 
13.5%
Close Punctuation 334
 
3.6%
Open Punctuation 334
 
3.6%
Other Punctuation 60
 
0.6%
Dash Punctuation 25
 
0.3%
Uppercase Letter 4
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 486
 
8.5%
동 397
 
6.9%
부 388
 
6.8%
광 371
 
6.5%
시 355
 
6.2%
구 352
 
6.1%
역 349
 
6.1%
로 342
 
6.0%
대 188
 
3.3%
사 135
 
2.4%
Other values (197) 2381
41.5%
Decimal Number
ValueCountFrequency (%)
1 258
20.6%
2 184
14.7%
3 123
9.8%
5 119
9.5%
4 114
9.1%
6 108
8.6%
7 100
 
8.0%
0 90
 
7.2%
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 (%)
1520
100.0%
Close Punctuation
ValueCountFrequency (%)
) 334
100.0%
Open Punctuation
ValueCountFrequency (%)
( 334
100.0%
Other Punctuation
ValueCountFrequency (%)
, 60
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5744
61.9%
Common 3529
38.0%
Latin 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 486
 
8.5%
동 397
 
6.9%
부 388
 
6.8%
광 371
 
6.5%
시 355
 
6.2%
구 352
 
6.1%
역 349
 
6.1%
로 342
 
6.0%
대 188
 
3.3%
사 135
 
2.4%
Other values (197) 2381
41.5%
Common
ValueCountFrequency (%)
1520
43.1%
) 334
 
9.5%
( 334
 
9.5%
1 258
 
7.3%
2 184
 
5.2%
3 123
 
3.5%
5 119
 
3.4%
4 114
 
3.2%
6 108
 
3.1%
7 100
 
2.8%
Other values (6) 335
 
9.5%
Latin
ValueCountFrequency (%)
C 2
50.0%
E 1
25.0%
A 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5744
61.9%
ASCII 3533
38.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1520
43.0%
) 334
 
9.5%
( 334
 
9.5%
1 258
 
7.3%
2 184
 
5.2%
3 123
 
3.5%
5 119
 
3.4%
4 114
 
3.2%
6 108
 
3.1%
7 100
 
2.8%
Other values (9) 339
 
9.6%
Hangul
ValueCountFrequency (%)
산 486
 
8.5%
동 397
 
6.9%
부 388
 
6.8%
광 371
 
6.5%
시 355
 
6.2%
구 352
 
6.1%
역 349
 
6.1%
로 342
 
6.0%
대 188
 
3.3%
사 135
 
2.4%
Other values (197) 2381
41.5%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct82
Distinct (%)76.6%
Missing278
Missing (%)72.2%
Infinite0
Infinite (%)0.0%
Mean47586.252
Minimum46017
Maximum49524
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-04-17T14:07:19.837818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46017
5-th percentile46084.1
Q146752.5
median47028
Q348467
95-th percentile49455
Maximum49524
Range3507
Interquartile range (IQR)1714.5

Descriptive statistics

Standard deviation1144.8077
Coefficient of variation (CV)0.02405753
Kurtosis-1.1748956
Mean47586.252
Median Absolute Deviation (MAD)696
Skewness0.53748896
Sum5091729
Variance1310584.6
MonotonicityNot monotonic
2024-04-17T14:07:19.968271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
46754 5
 
1.3%
49455 4
 
1.0%
47025 3
 
0.8%
46755 3
 
0.8%
48283 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 (72) 78
 
20.3%
(Missing) 278
72.2%
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

Distinct341
Distinct (%)88.6%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2024-04-17T14:07:20.166135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length22
Mean length8.1012987
Min length3

Characters and Unicode

Total characters3119
Distinct characters315
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

Unique306 ?
Unique (%)79.5%

Sample

1st row에스지(SG)유통
2nd row상수도사업본부 기장사업소
3rd row일신기계공업(주)
4th row주식회사 일등코리아
5th row동서열처리주식회사 사상지점
ValueCountFrequency (%)
의료법인 16
 
3.5%
주식회사 5
 
1.1%
부산대학교병원 4
 
0.9%
인당의료재단 4
 
0.9%
부곡스텐레스(주 3
 
0.6%
인제대학교 3
 
0.6%
해동산업 3
 
0.6%
광진실업(주 3
 
0.6%
화명일신기독병원 3
 
0.6%
일신기독병원 3
 
0.6%
Other values (379) 416
89.8%
2024-04-17T14:07:20.482326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
) 147
 
4.7%
( 145
 
4.6%
주 141
 
4.5%
원 140
 
4.5%
병 126
 
4.0%
78
 
2.5%
산 73
 
2.3%
부 60
 
1.9%
대 60
 
1.9%
업 59
 
1.9%
Other values (305) 2090
67.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2693
86.3%
Close Punctuation 147
 
4.7%
Open Punctuation 145
 
4.6%
Space Separator 78
 
2.5%
Uppercase Letter 27
 
0.9%
Decimal Number 23
 
0.7%
Other Symbol 3
 
0.1%
Other Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 141
 
5.2%
원 140
 
5.2%
병 126
 
4.7%
산 73
 
2.7%
부 60
 
2.2%
대 60
 
2.2%
업 59
 
2.2%
의 54
 
2.0%
동 52
 
1.9%
공 48
 
1.8%
Other values (274) 1880
69.8%
Uppercase Letter
ValueCountFrequency (%)
S 9
33.3%
T 3
 
11.1%
G 2
 
7.4%
O 2
 
7.4%
J 1
 
3.7%
E 1
 
3.7%
A 1
 
3.7%
F 1
 
3.7%
K 1
 
3.7%
H 1
 
3.7%
Other values (5) 5
18.5%
Decimal Number
ValueCountFrequency (%)
6 5
21.7%
7 4
17.4%
3 4
17.4%
2 4
17.4%
4 1
 
4.3%
0 1
 
4.3%
5 1
 
4.3%
1 1
 
4.3%
9 1
 
4.3%
8 1
 
4.3%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
& 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 147
100.0%
Open Punctuation
ValueCountFrequency (%)
( 145
100.0%
Space Separator
ValueCountFrequency (%)
78
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2696
86.4%
Common 396
 
12.7%
Latin 27
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 141
 
5.2%
원 140
 
5.2%
병 126
 
4.7%
산 73
 
2.7%
부 60
 
2.2%
대 60
 
2.2%
업 59
 
2.2%
의 54
 
2.0%
동 52
 
1.9%
공 48
 
1.8%
Other values (275) 1883
69.8%
Common
ValueCountFrequency (%)
) 147
37.1%
( 145
36.6%
78
19.7%
6 5
 
1.3%
7 4
 
1.0%
3 4
 
1.0%
2 4
 
1.0%
. 2
 
0.5%
4 1
 
0.3%
0 1
 
0.3%
Other values (5) 5
 
1.3%
Latin
ValueCountFrequency (%)
S 9
33.3%
T 3
 
11.1%
G 2
 
7.4%
O 2
 
7.4%
J 1
 
3.7%
E 1
 
3.7%
A 1
 
3.7%
F 1
 
3.7%
K 1
 
3.7%
H 1
 
3.7%
Other values (5) 5
18.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2693
86.3%
ASCII 423
 
13.6%
None 3
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
) 147
34.8%
( 145
34.3%
78
18.4%
S 9
 
2.1%
6 5
 
1.2%
7 4
 
0.9%
3 4
 
0.9%
2 4
 
0.9%
T 3
 
0.7%
G 2
 
0.5%
Other values (20) 22
 
5.2%
Hangul
ValueCountFrequency (%)
주 141
 
5.2%
원 140
 
5.2%
병 126
 
4.7%
산 73
 
2.7%
부 60
 
2.2%
대 60
 
2.2%
업 59
 
2.2%
의 54
 
2.0%
동 52
 
1.9%
공 48
 
1.8%
Other values (274) 1880
69.8%
None
ValueCountFrequency (%)
㈜ 3
100.0%

최종수정시점
Real number (ℝ)

Distinct381
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0127613 × 1013
Minimum1.9770527 × 1013
Maximum2.0210113 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-04-17T14:07:20.617892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.9770527 × 1013
5-th percentile1.9940722 × 1013
Q12.0120118 × 1013
median2.0150204 × 1013
Q32.0190103 × 1013
95-th percentile2.0200185 × 1013
Maximum2.0210113 × 1013
Range4.3958618 × 1011
Interquartile range (IQR)6.9984964 × 1010

Descriptive statistics

Standard deviation8.55113 × 1010
Coefficient of variation (CV)0.0042484571
Kurtosis6.008609
Mean2.0127613 × 1013
Median Absolute Deviation (MAD)3.1012998 × 1010
Skewness-2.3536939
Sum7.7491311 × 1015
Variance7.3121825 × 1021
MonotonicityNot monotonic
2024-04-17T14:07:20.760351image/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 (371) 371
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 (%)
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%
20201105175044 1
0.3%
20201019095012 1
0.3%
20200904130815 1
0.3%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
I
335 
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 335
87.0%
U 50
 
13.0%

Length

2024-04-17T14:07:20.864571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:07:20.946392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 335
87.0%
u 50
 
13.0%

데이터갱신일자
Date

Distinct101
Distinct (%)26.2%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
Minimum2018-08-31 23:59:59
Maximum2021-01-15 02:40:00
2024-04-17T14:07:21.045473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T14:07:21.166259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing385
Missing (%)100.0%
Memory size3.5 KiB

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct308
Distinct (%)87.0%
Missing31
Missing (%)8.1%
Infinite0
Infinite (%)0.0%
Mean383915.79
Minimum366383.29
Maximum409066.55
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-04-17T14:07:21.286668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum366383.29
5-th percentile368484.11
Q1379640.91
median382789.45
Q3389575.13
95-th percentile398610.09
Maximum409066.55
Range42683.268
Interquartile range (IQR)9934.2257

Descriptive statistics

Standard deviation8536.5553
Coefficient of variation (CV)0.022235489
Kurtosis0.15049325
Mean383915.79
Median Absolute Deviation (MAD)4392.7427
Skewness0.16806013
Sum1.3590619 × 108
Variance72872776
MonotonicityNot monotonic
2024-04-17T14:07:21.398902image/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%
383412.190468328 2
 
0.5%
398749.005508548 2
 
0.5%
Other values (298) 324
84.2%
(Missing) 31
 
8.1%
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 

Distinct308
Distinct (%)87.0%
Missing31
Missing (%)8.1%
Infinite0
Infinite (%)0.0%
Mean184764.19
Minimum174044.03
Maximum211024.89
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-04-17T14:07:21.511183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum174044.03
5-th percentile175498.98
Q1178888.3
median184202.76
Q3188697.05
95-th percentile200356.67
Maximum211024.89
Range36980.854
Interquartile range (IQR)9808.7517

Descriptive statistics

Standard deviation7573.186
Coefficient of variation (CV)0.040988387
Kurtosis1.319355
Mean184764.19
Median Absolute Deviation (MAD)5243.9088
Skewness1.1330777
Sum65406522
Variance57353146
MonotonicityNot monotonic
2024-04-17T14:07:21.630251image/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%
194288.416387155 2
 
0.5%
188211.683012763 2
 
0.5%
Other values (298) 324
84.2%
(Missing) 31
 
8.1%
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 

Distinct139
Distinct (%)37.5%
Missing14
Missing (%)3.6%
Memory size3.1 KiB
2024-04-17T14:07:21.843100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length14
Mean length4.7493261
Min length1

Characters and Unicode

Total characters1762
Distinct characters136
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

Unique103 ?
Unique (%)27.8%

Sample

1st row양어장산소공급
2nd row소독
3rd row용접
4th row영업용 수족관 산소공급
5th row산업용(열처리)
ValueCountFrequency (%)
의료용 110
21.4%
절단용 29
 
5.7%
열처리 26
 
5.1%
용접 24
 
4.7%
열처리용 22
 
4.3%
산소 21
 
4.1%
및 19
 
3.7%
절단 13
 
2.5%
철판가공 10
 
1.9%
가공 10
 
1.9%
Other values (141) 229
44.6%
2024-04-17T14:07:22.471866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
용 280
 
15.9%
142
 
8.1%
료 124
 
7.0%
의 121
 
6.9%
절 77
 
4.4%
단 75
 
4.3%
리 61
 
3.5%
처 60
 
3.4%
공 60
 
3.4%
열 58
 
3.3%
Other values (126) 704
40.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1547
87.8%
Space Separator 142
 
8.1%
Lowercase Letter 31
 
1.8%
Other Punctuation 17
 
1.0%
Decimal Number 11
 
0.6%
Open Punctuation 6
 
0.3%
Close Punctuation 6
 
0.3%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
용 280
18.1%
료 124
 
8.0%
의 121
 
7.8%
절 77
 
5.0%
단 75
 
4.8%
리 61
 
3.9%
처 60
 
3.9%
공 60
 
3.9%
열 58
 
3.7%
산 52
 
3.4%
Other values (102) 579
37.4%
Lowercase Letter
ValueCountFrequency (%)
i 4
12.9%
c 4
12.9%
e 3
9.7%
a 3
9.7%
h 2
 
6.5%
r 2
 
6.5%
u 2
 
6.5%
g 2
 
6.5%
w 2
 
6.5%
l 2
 
6.5%
Other values (4) 5
16.1%
Other Punctuation
ValueCountFrequency (%)
, 12
70.6%
. 4
 
23.5%
: 1
 
5.9%
Decimal Number
ValueCountFrequency (%)
0 4
36.4%
2 4
36.4%
1 3
27.3%
Space Separator
ValueCountFrequency (%)
142
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Uppercase Letter
ValueCountFrequency (%)
R 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1547
87.8%
Common 182
 
10.3%
Latin 33
 
1.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
용 280
18.1%
료 124
 
8.0%
의 121
 
7.8%
절 77
 
5.0%
단 75
 
4.8%
리 61
 
3.9%
처 60
 
3.9%
공 60
 
3.9%
열 58
 
3.7%
산 52
 
3.4%
Other values (102) 579
37.4%
Latin
ValueCountFrequency (%)
i 4
12.1%
c 4
12.1%
e 3
9.1%
a 3
9.1%
h 2
 
6.1%
r 2
 
6.1%
u 2
 
6.1%
g 2
 
6.1%
w 2
 
6.1%
R 2
 
6.1%
Other values (5) 7
21.2%
Common
ValueCountFrequency (%)
142
78.0%
, 12
 
6.6%
( 6
 
3.3%
) 6
 
3.3%
. 4
 
2.2%
0 4
 
2.2%
2 4
 
2.2%
1 3
 
1.6%
: 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1547
87.8%
ASCII 215
 
12.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
용 280
18.1%
료 124
 
8.0%
의 121
 
7.8%
절 77
 
5.0%
단 75
 
4.8%
리 61
 
3.9%
처 60
 
3.9%
공 60
 
3.9%
열 58
 
3.7%
산 52
 
3.4%
Other values (102) 579
37.4%
ASCII
ValueCountFrequency (%)
142
66.0%
, 12
 
5.6%
( 6
 
2.8%
) 6
 
2.8%
. 4
 
1.9%
0 4
 
1.9%
2 4
 
1.9%
i 4
 
1.9%
c 4
 
1.9%
e 3
 
1.4%
Other values (14) 26
 
12.1%

사용방법
Text

MISSING 

Distinct211
Distinct (%)61.7%
Missing43
Missing (%)11.2%
Memory size3.1 KiB
2024-04-17T14:07:22.719410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length73
Median length61
Mean length8.4181287
Min length1

Characters and Unicode

Total characters2879
Distinct characters246
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

Unique174 ?
Unique (%)50.9%

Sample

1st row소형저장탱크
2nd row-
3rd row혼합
4th row영업용 수족관 산소공급
5th row용기 사용
ValueCountFrequency (%)
의료용 41
 
5.9%
산소 23
 
3.3%
용접 22
 
3.2%
사용 21
 
3.0%
및 18
 
2.6%
절단 17
 
2.4%
공급 14
 
2.0%
12
 
1.7%
열처리 11
 
1.6%
용기 11
 
1.6%
Other values (313) 508
72.8%
2024-04-17T14:07:23.105693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
337
 
11.7%
용 218
 
7.6%
소 89
 
3.1%
기 87
 
3.0%
산 78
 
2.7%
의 62
 
2.2%
료 59
 
2.0%
공 52
 
1.8%
0 51
 
1.8%
화 47
 
1.6%
Other values (236) 1799
62.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2030
70.5%
Space Separator 337
 
11.7%
Decimal Number 231
 
8.0%
Lowercase Letter 80
 
2.8%
Other Punctuation 78
 
2.7%
Open Punctuation 30
 
1.0%
Close Punctuation 28
 
1.0%
Dash Punctuation 21
 
0.7%
Control 19
 
0.7%
Uppercase Letter 10
 
0.3%
Other values (3) 15
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
용 218
 
10.7%
소 89
 
4.4%
기 87
 
4.3%
산 78
 
3.8%
의 62
 
3.1%
료 59
 
2.9%
공 52
 
2.6%
화 47
 
2.3%
장 43
 
2.1%
사 42
 
2.1%
Other values (186) 1253
61.7%
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%
e 3
 
3.8%
a 3
 
3.8%
o 2
 
2.5%
x 2
 
2.5%
Other values (7) 13
16.2%
Decimal Number
ValueCountFrequency (%)
0 51
22.1%
1 44
19.0%
2 35
15.2%
6 27
11.7%
8 21
9.1%
3 16
 
6.9%
4 12
 
5.2%
5 11
 
4.8%
7 9
 
3.9%
9 5
 
2.2%
Uppercase Letter
ValueCountFrequency (%)
L 3
30.0%
R 2
20.0%
T 1
 
10.0%
B 1
 
10.0%
C 1
 
10.0%
G 1
 
10.0%
K 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
. 33
42.3%
, 16
20.5%
* 15
19.2%
: 11
 
14.1%
/ 3
 
3.8%
Math Symbol
ValueCountFrequency (%)
= 4
50.0%
→ 3
37.5%
> 1
 
12.5%
Open Punctuation
ValueCountFrequency (%)
( 29
96.7%
[ 1
 
3.3%
Space Separator
ValueCountFrequency (%)
337
100.0%
Close Punctuation
ValueCountFrequency (%)
) 28
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%
Control
ValueCountFrequency (%)
19
100.0%
Other Symbol
ValueCountFrequency (%)
㎥ 6
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2030
70.5%
Common 759
 
26.4%
Latin 90
 
3.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
용 218
 
10.7%
소 89
 
4.4%
기 87
 
4.3%
산 78
 
3.8%
의 62
 
3.1%
료 59
 
2.9%
공 52
 
2.6%
화 47
 
2.3%
장 43
 
2.1%
사 42
 
2.1%
Other values (186) 1253
61.7%
Common
ValueCountFrequency (%)
337
44.4%
0 51
 
6.7%
1 44
 
5.8%
2 35
 
4.6%
. 33
 
4.3%
( 29
 
3.8%
) 28
 
3.7%
6 27
 
3.6%
- 21
 
2.8%
8 21
 
2.8%
Other values (16) 133
 
17.5%
Latin
ValueCountFrequency (%)
g 22
24.4%
k 20
22.2%
c 4
 
4.4%
m 4
 
4.4%
i 4
 
4.4%
n 3
 
3.3%
e 3
 
3.3%
a 3
 
3.3%
L 3
 
3.3%
o 2
 
2.2%
Other values (14) 22
24.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2028
70.4%
ASCII 840
29.2%
CJK Compat 6
 
0.2%
Arrows 3
 
0.1%
Compat Jamo 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
337
40.1%
0 51
 
6.1%
1 44
 
5.2%
2 35
 
4.2%
. 33
 
3.9%
( 29
 
3.5%
) 28
 
3.3%
6 27
 
3.2%
g 22
 
2.6%
- 21
 
2.5%
Other values (38) 213
25.4%
Hangul
ValueCountFrequency (%)
용 218
 
10.7%
소 89
 
4.4%
기 87
 
4.3%
산 78
 
3.8%
의 62
 
3.1%
료 59
 
2.9%
공 52
 
2.6%
화 47
 
2.3%
장 43
 
2.1%
사 42
 
2.1%
Other values (185) 1251
61.7%
CJK Compat
ValueCountFrequency (%)
㎥ 6
100.0%
Arrows
ValueCountFrequency (%)
→ 3
100.0%
Compat Jamo
ValueCountFrequency (%)
ㄴ 2
100.0%

월사용량
Real number (ℝ)

MISSING  ZEROS 

Distinct129
Distinct (%)36.5%
Missing32
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean42313.405
Minimum0
Maximum5000000
Zeros17
Zeros (%)4.4%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-04-17T14:07:23.231650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.158
Q1120
median600
Q32160
95-th percentile10000
Maximum5000000
Range5000000
Interquartile range (IQR)2040

Descriptive statistics

Standard deviation437145.37
Coefficient of variation (CV)10.331132
Kurtosis114.94747
Mean42313.405
Median Absolute Deviation (MAD)595.1
Skewness10.775883
Sum14936632
Variance1.9109607 × 1011
MonotonicityNot monotonic
2024-04-17T14:07:23.354811image/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%
1000.0 10
 
2.6%
10.0 10
 
2.6%
500.0 10
 
2.6%
10000.0 10
 
2.6%
1500.0 9
 
2.3%
Other values (119) 223
57.9%
(Missing) 32
 
8.3%
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 (%)23.9%
Missing42
Missing (%)10.9%
Infinite0
Infinite (%)0.0%
Mean87.778426
Minimum0
Maximum1500
Zeros36
Zeros (%)9.4%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-04-17T14:07:23.496538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median15
Q3100
95-th percentile368
Maximum1500
Range1500
Interquartile range (IQR)95

Descriptive statistics

Standard deviation167.1076
Coefficient of variation (CV)1.9037434
Kurtosis25.797625
Mean87.778426
Median Absolute Deviation (MAD)15
Skewness4.2691742
Sum30108
Variance27924.951
MonotonicityNot monotonic
2024-04-17T14:07:23.610483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 36
 
9.4%
10 36
 
9.4%
5 29
 
7.5%
100 23
 
6.0%
3 17
 
4.4%
50 16
 
4.2%
20 14
 
3.6%
1 13
 
3.4%
250 10
 
2.6%
200 9
 
2.3%
Other values (72) 140
36.4%
(Missing) 42
 
10.9%
ValueCountFrequency (%)
0 36
9.4%
1 13
 
3.4%
2 7
 
1.8%
3 17
4.4%
4 6
 
1.6%
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 

Missing385
Missing (%)100.0%
Memory size3.5 KiB

Unnamed: 33
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing385
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
375376특정고압가스업09_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>
376377특정고압가스업09_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>
377378특정고압가스업09_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>
378379특정고압가스업09_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>
379380특정고압가스업09_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>
380381특정고압가스업09_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>
381382특정고압가스업09_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>
382383특정고압가스업09_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>
383384특정고압가스업09_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>
384385특정고압가스업09_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>