Overview

Dataset statistics

Number of variables34
Number of observations5152
Missing cells58511
Missing cells (%)33.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.4 MiB
Average record size in memory287.0 B

Variable types

Numeric7
Categorical11
DateTime3
Unsupported6
Text7

Dataset

Description2023-04-01
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20230901050101123161

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
항목값1 has constant value ""Constant
폐업일자 has a high cardinality: 51 distinct valuesHigh cardinality
영업상태구분코드 is highly imbalanced (69.2%)Imbalance
영업상태명 is highly imbalanced (69.2%)Imbalance
상세영업상태코드 is highly imbalanced (75.4%)Imbalance
상세영업상태명 is highly imbalanced (75.4%)Imbalance
폐업일자 is highly imbalanced (86.9%)Imbalance
휴업시작일자 is highly imbalanced (86.6%)Imbalance
데이터갱신구분 is highly imbalanced (88.2%)Imbalance
인허가일자 has 195 (3.8%) missing valuesMissing
인허가취소일자 has 5152 (100.0%) missing valuesMissing
휴업종료일자 has 5152 (100.0%) missing valuesMissing
재개업일자 has 5152 (100.0%) missing valuesMissing
소재지전화 has 3471 (67.4%) missing valuesMissing
소재지면적 has 5152 (100.0%) missing valuesMissing
소재지우편번호 has 174 (3.4%) missing valuesMissing
소재지전체주소 has 60 (1.2%) missing valuesMissing
도로명전체주소 has 3432 (66.6%) missing valuesMissing
도로명우편번호 has 4703 (91.3%) missing valuesMissing
업태구분명 has 5152 (100.0%) missing valuesMissing
좌표정보(x) has 3064 (59.5%) missing valuesMissing
좌표정보(y) has 3064 (59.5%) missing valuesMissing
소재지 has 2746 (53.3%) missing valuesMissing
지정일자 has 4465 (86.7%) missing valuesMissing
신청일자 has 2225 (43.2%) missing valuesMissing
Unnamed: 33 has 5152 (100.0%) missing valuesMissing
신청일자 is highly skewed (γ1 = 26.38869592)Skewed
번호 has unique valuesUnique
관리번호 has unique valuesUnique
인허가취소일자 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
업태구분명 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

Reproduction

Analysis started2024-04-17 23:31:10.787285
Analysis finished2024-04-17 23:31:11.987798
Duration1.2 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct5152
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2576.5
Minimum1
Maximum5152
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size45.4 KiB
2024-04-18T08:31:12.052294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile258.55
Q11288.75
median2576.5
Q33864.25
95-th percentile4894.45
Maximum5152
Range5151
Interquartile range (IQR)2575.5

Descriptive statistics

Standard deviation1487.3986
Coefficient of variation (CV)0.57729425
Kurtosis-1.2
Mean2576.5
Median Absolute Deviation (MAD)1288
Skewness0
Sum13274128
Variance2212354.7
MonotonicityStrictly increasing
2024-04-18T08:31:12.236684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
3463 1
 
< 0.1%
3441 1
 
< 0.1%
3440 1
 
< 0.1%
3439 1
 
< 0.1%
3438 1
 
< 0.1%
3437 1
 
< 0.1%
3436 1
 
< 0.1%
3435 1
 
< 0.1%
3434 1
 
< 0.1%
Other values (5142) 5142
99.8%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
5152 1
< 0.1%
5151 1
< 0.1%
5150 1
< 0.1%
5149 1
< 0.1%
5148 1
< 0.1%
5147 1
< 0.1%
5146 1
< 0.1%
5145 1
< 0.1%
5144 1
< 0.1%
5143 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size40.4 KiB
쓰레기종량제봉투판매업
5152 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
쓰레기종량제봉투판매업 5152
100.0%

Length

2024-04-18T08:31:12.377027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T08:31:12.469370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
쓰레기종량제봉투판매업 5152
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size40.4 KiB
09_30_13_P
5152 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row09_30_13_P
2nd row09_30_13_P
3rd row09_30_13_P
4th row09_30_13_P
5th row09_30_13_P

Common Values

ValueCountFrequency (%)
09_30_13_P 5152
100.0%

Length

2024-04-18T08:31:12.567432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T08:31:12.658575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
09_30_13_p 5152
100.0%

개방자치단체코드
Real number (ℝ)

Distinct13
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3322566
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size45.4 KiB
2024-04-18T08:31:12.746639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3250000
5-th percentile3250000
Q13280000
median3310000
Q33380000
95-th percentile3400000
Maximum3400000
Range150000
Interquartile range (IQR)100000

Descriptive statistics

Standard deviation50060.491
Coefficient of variation (CV)0.015066816
Kurtosis-1.4373982
Mean3322566
Median Absolute Deviation (MAD)40000
Skewness0.25364916
Sum1.711786 × 1010
Variance2.5060527 × 109
MonotonicityIncreasing
2024-04-18T08:31:12.849757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
3390000 779
15.1%
3270000 751
14.6%
3380000 544
10.6%
3310000 506
9.8%
3280000 465
9.0%
3290000 431
8.4%
3250000 385
7.5%
3300000 368
7.1%
3330000 326
6.3%
3400000 269
 
5.2%
Other values (3) 328
6.4%
ValueCountFrequency (%)
3250000 385
7.5%
3270000 751
14.6%
3280000 465
9.0%
3290000 431
8.4%
3300000 368
7.1%
3310000 506
9.8%
3330000 326
6.3%
3340000 162
 
3.1%
3350000 16
 
0.3%
3360000 150
 
2.9%
ValueCountFrequency (%)
3400000 269
 
5.2%
3390000 779
15.1%
3380000 544
10.6%
3360000 150
 
2.9%
3350000 16
 
0.3%
3340000 162
 
3.1%
3330000 326
6.3%
3310000 506
9.8%
3300000 368
7.1%
3290000 431
8.4%

관리번호
Real number (ℝ)

UNIQUE 

Distinct5152
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.3225661 × 1017
Minimum3.2500001 × 1017
Maximum3.4000001 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size45.4 KiB
2024-04-18T08:31:12.972780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.2500001 × 1017
5-th percentile3.2500001 × 1017
Q13.2800001 × 1017
median3.3100001 × 1017
Q33.3800001 × 1017
95-th percentile3.4000001 × 1017
Maximum3.4000001 × 1017
Range1.5 × 1016
Interquartile range (IQR)1 × 1016

Descriptive statistics

Standard deviation5.0060491 × 1015
Coefficient of variation (CV)0.015066815
Kurtosis-1.4373982
Mean3.3225661 × 1017
Median Absolute Deviation (MAD)4 × 1015
Skewness0.25364916
Sum-3.7611257 × 1018
Variance2.5060527 × 1031
MonotonicityNot monotonic
2024-04-18T08:31:13.107066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
325000014201400009 1
 
< 0.1%
336000014199400042 1
 
< 0.1%
336000014199500060 1
 
< 0.1%
336000014199500059 1
 
< 0.1%
336000014199500056 1
 
< 0.1%
336000014199500055 1
 
< 0.1%
336000014199500046 1
 
< 0.1%
336000014199500045 1
 
< 0.1%
336000014199500044 1
 
< 0.1%
336000014199400037 1
 
< 0.1%
Other values (5142) 5142
99.8%
ValueCountFrequency (%)
325000014199400001 1
< 0.1%
325000014199400002 1
< 0.1%
325000014199400003 1
< 0.1%
325000014199400004 1
< 0.1%
325000014199400005 1
< 0.1%
325000014199400006 1
< 0.1%
325000014199400007 1
< 0.1%
325000014199400008 1
< 0.1%
325000014199400009 1
< 0.1%
325000014199400010 1
< 0.1%
ValueCountFrequency (%)
340000014200400277 1
< 0.1%
340000014200400276 1
< 0.1%
340000014200400275 1
< 0.1%
340000014200400274 1
< 0.1%
340000014200400273 1
< 0.1%
340000014200400272 1
< 0.1%
340000014200400271 1
< 0.1%
340000014200400270 1
< 0.1%
340000014200300269 1
< 0.1%
340000014200300268 1
< 0.1%

인허가일자
Date

MISSING 

Distinct1171
Distinct (%)23.6%
Missing195
Missing (%)3.8%
Memory size40.4 KiB
Minimum1966-03-08 00:00:00
Maximum2023-02-13 00:00:00
2024-04-18T08:31:13.255591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T08:31:13.388664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5152
Missing (%)100.0%
Memory size45.4 KiB

영업상태구분코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size40.4 KiB
1
4608 
3
543 
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
1 4608
89.4%
3 543
 
10.5%
2 1
 
< 0.1%

Length

2024-04-18T08:31:13.511334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T08:31:13.603148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 4608
89.4%
3 543
 
10.5%
2 1
 
< 0.1%

영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size40.4 KiB
영업/정상
4608 
폐업
543 
휴업
 
1

Length

Max length5
Median length5
Mean length4.6832298
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 4608
89.4%
폐업 543
 
10.5%
휴업 1
 
< 0.1%

Length

2024-04-18T08:31:13.703254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T08:31:13.813225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 4608
89.4%
폐업 543
 
10.5%
휴업 1
 
< 0.1%

상세영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size40.4 KiB
11
4607 
2
543 
0
 
1
1
 
1

Length

Max length2
Median length2
Mean length1.8942158
Min length1

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row0
2nd row11
3rd row11
4th row11
5th row11

Common Values

ValueCountFrequency (%)
11 4607
89.4%
2 543
 
10.5%
0 1
 
< 0.1%
1 1
 
< 0.1%

Length

2024-04-18T08:31:13.918977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T08:31:14.699302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11 4607
89.4%
2 543
 
10.5%
0 1
 
< 0.1%
1 1
 
< 0.1%

상세영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size40.4 KiB
영업
4607 
폐업
543 
<NA>
 
1
휴업
 
1

Length

Max length4
Median length2
Mean length2.0003882
Min length2

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
영업 4607
89.4%
폐업 543
 
10.5%
<NA> 1
 
< 0.1%
휴업 1
 
< 0.1%

Length

2024-04-18T08:31:14.814265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T08:31:14.922825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 4607
89.4%
폐업 543
 
10.5%
na 1
 
< 0.1%
휴업 1
 
< 0.1%

폐업일자
Categorical

HIGH CARDINALITY  IMBALANCE 

Distinct51
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size40.4 KiB
<NA>
4610 
2007-07-08
 
312
2010-01-11
 
69
2009-01-12
 
49
2006-05-10
 
48
Other values (46)
 
64

Length

Max length10
Median length4
Mean length4.6312112
Min length4

Unique

Unique36 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 4610
89.5%
2007-07-08 312
 
6.1%
2010-01-11 69
 
1.3%
2009-01-12 49
 
1.0%
2006-05-10 48
 
0.9%
2006-01-10 6
 
0.1%
2001-05-30 5
 
0.1%
2007-10-23 3
 
0.1%
2001-12-21 2
 
< 0.1%
2020-09-08 2
 
< 0.1%
Other values (41) 46
 
0.9%

Length

2024-04-18T08:31:15.032456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 4610
89.5%
2007-07-08 312
 
6.1%
2010-01-11 69
 
1.3%
2009-01-12 49
 
1.0%
2006-05-10 48
 
0.9%
2006-01-10 6
 
0.1%
2001-05-30 5
 
0.1%
2007-10-23 3
 
0.1%
2004-10-20 2
 
< 0.1%
2007-11-02 2
 
< 0.1%
Other values (41) 46
 
0.9%

휴업시작일자
Categorical

IMBALANCE 

Distinct32
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size40.4 KiB
<NA>
4638 
2007-07-08
 
312
2010-01-11
 
69
2006-05-10
 
49
2009-01-12
 
49
Other values (27)
 
35

Length

Max length10
Median length4
Mean length4.5986025
Min length4

Unique

Unique24 ?
Unique (%)0.5%

Sample

1st row2016-08-07
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 4638
90.0%
2007-07-08 312
 
6.1%
2010-01-11 69
 
1.3%
2006-05-10 49
 
1.0%
2009-01-12 49
 
1.0%
2006-01-10 6
 
0.1%
2007-10-23 3
 
0.1%
2007-11-02 2
 
< 0.1%
2008-12-18 1
 
< 0.1%
2014-02-11 1
 
< 0.1%
Other values (22) 22
 
0.4%

Length

2024-04-18T08:31:15.160053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 4638
90.0%
2007-07-08 312
 
6.1%
2010-01-11 69
 
1.3%
2006-05-10 49
 
1.0%
2009-01-12 49
 
1.0%
2006-01-10 6
 
0.1%
2007-10-23 3
 
0.1%
2007-11-02 2
 
< 0.1%
2012-12-04 1
 
< 0.1%
2019-08-09 1
 
< 0.1%
Other values (22) 22
 
0.4%

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5152
Missing (%)100.0%
Memory size45.4 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5152
Missing (%)100.0%
Memory size45.4 KiB

소재지전화
Text

MISSING 

Distinct1607
Distinct (%)95.6%
Missing3471
Missing (%)67.4%
Memory size40.4 KiB
2024-04-18T08:31:15.376617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.649018
Min length7

Characters and Unicode

Total characters17901
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1548 ?
Unique (%)92.1%

Sample

1st row051-250-2921
2nd row051-248-8106
3rd row0514667980
4th row0512546667
5th row0512469329
ValueCountFrequency (%)
051 1046
32.8%
416 86
 
2.7%
417 57
 
1.8%
412 46
 
1.4%
418 44
 
1.4%
405 42
 
1.3%
413 42
 
1.3%
415 38
 
1.2%
404 21
 
0.7%
403 20
 
0.6%
Other values (1627) 1746
54.8%
2024-04-18T08:31:15.707153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 2909
16.3%
5 2600
14.5%
0 2519
14.1%
4 1691
9.4%
1513
8.5%
3 1411
7.9%
2 1361
7.6%
6 1245
7.0%
7 1012
 
5.7%
8 929
 
5.2%
Other values (2) 711
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 16306
91.1%
Space Separator 1513
 
8.5%
Dash Punctuation 82
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 2909
17.8%
5 2600
15.9%
0 2519
15.4%
4 1691
10.4%
3 1411
8.7%
2 1361
8.3%
6 1245
7.6%
7 1012
 
6.2%
8 929
 
5.7%
9 629
 
3.9%
Space Separator
ValueCountFrequency (%)
1513
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 82
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 17901
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 2909
16.3%
5 2600
14.5%
0 2519
14.1%
4 1691
9.4%
1513
8.5%
3 1411
7.9%
2 1361
7.6%
6 1245
7.0%
7 1012
 
5.7%
8 929
 
5.2%
Other values (2) 711
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 17901
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 2909
16.3%
5 2600
14.5%
0 2519
14.1%
4 1691
9.4%
1513
8.5%
3 1411
7.9%
2 1361
7.6%
6 1245
7.0%
7 1012
 
5.7%
8 929
 
5.2%
Other values (2) 711
 
4.0%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5152
Missing (%)100.0%
Memory size45.4 KiB

소재지우편번호
Text

MISSING 

Distinct419
Distinct (%)8.4%
Missing174
Missing (%)3.4%
Memory size40.4 KiB
2024-04-18T08:31:16.038978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters34846
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

Unique98 ?
Unique (%)2.0%

Sample

1st row600-111
2nd row600-111
3rd row600-111
4th row600-052
5th row600-062
ValueCountFrequency (%)
601-062 70
 
1.4%
601-012 63
 
1.3%
612-051 60
 
1.2%
612-082 57
 
1.1%
612-081 56
 
1.1%
601-013 55
 
1.1%
606-081 53
 
1.1%
606-072 53
 
1.1%
601-064 52
 
1.0%
608-043 52
 
1.0%
Other values (409) 4407
88.5%
2024-04-18T08:31:16.473184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6991
20.1%
6 6267
18.0%
1 6063
17.4%
- 4978
14.3%
2 2140
 
6.1%
8 2055
 
5.9%
3 1834
 
5.3%
4 1511
 
4.3%
7 1500
 
4.3%
9 823
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 29868
85.7%
Dash Punctuation 4978
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6991
23.4%
6 6267
21.0%
1 6063
20.3%
2 2140
 
7.2%
8 2055
 
6.9%
3 1834
 
6.1%
4 1511
 
5.1%
7 1500
 
5.0%
9 823
 
2.8%
5 684
 
2.3%
Dash Punctuation
ValueCountFrequency (%)
- 4978
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 34846
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6991
20.1%
6 6267
18.0%
1 6063
17.4%
- 4978
14.3%
2 2140
 
6.1%
8 2055
 
5.9%
3 1834
 
5.3%
4 1511
 
4.3%
7 1500
 
4.3%
9 823
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 34846
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6991
20.1%
6 6267
18.0%
1 6063
17.4%
- 4978
14.3%
2 2140
 
6.1%
8 2055
 
5.9%
3 1834
 
5.3%
4 1511
 
4.3%
7 1500
 
4.3%
9 823
 
2.4%

소재지전체주소
Text

MISSING 

Distinct4602
Distinct (%)90.4%
Missing60
Missing (%)1.2%
Memory size40.4 KiB
2024-04-18T08:31:16.814049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length45
Mean length24.33857
Min length14

Characters and Unicode

Total characters123932
Distinct characters273
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4230 ?
Unique (%)83.1%

Sample

1st row부산광역시 중구 대청동1가 37-1번지 코모도에스테이트 108호
2nd row부산광역시 중구 남포동6가 3번지 신천지
3rd row부산광역시 중구 영주동 142-24번지 문화빌리지
4th row부산광역시 중구 영주동 640-28 2통2반
5th row부산광역시 중구 영주동 28번지 8통3반
ValueCountFrequency (%)
부산광역시 5092
 
19.8%
번지 2069
 
8.0%
사상구 780
 
3.0%
761
 
3.0%
동구 751
 
2.9%
수영구 543
 
2.1%
남구 504
 
2.0%
영도구 465
 
1.8%
부산진구 432
 
1.7%
동래구 368
 
1.4%
Other values (4747) 13959
54.3%
2024-04-18T08:31:17.273612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
24483
19.8%
6206
 
5.0%
1 5827
 
4.7%
5687
 
4.6%
5586
 
4.5%
5424
 
4.4%
5109
 
4.1%
5095
 
4.1%
5038
 
4.1%
4955
 
4.0%
Other values (263) 50522
40.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 69882
56.4%
Decimal Number 25208
 
20.3%
Space Separator 24483
 
19.8%
Dash Punctuation 4261
 
3.4%
Uppercase Letter 45
 
< 0.1%
Other Punctuation 42
 
< 0.1%
Lowercase Letter 5
 
< 0.1%
Math Symbol 4
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
6206
 
8.9%
5687
 
8.1%
5586
 
8.0%
5424
 
7.8%
5109
 
7.3%
5095
 
7.3%
5038
 
7.2%
4955
 
7.1%
4845
 
6.9%
1200
 
1.7%
Other values (227) 20737
29.7%
Uppercase Letter
ValueCountFrequency (%)
A 18
40.0%
B 14
31.1%
O 2
 
4.4%
T 2
 
4.4%
E 1
 
2.2%
D 1
 
2.2%
C 1
 
2.2%
W 1
 
2.2%
S 1
 
2.2%
K 1
 
2.2%
Other values (3) 3
 
6.7%
Decimal Number
ValueCountFrequency (%)
1 5827
23.1%
2 3274
13.0%
3 2700
10.7%
4 2479
9.8%
5 2349
9.3%
6 1854
 
7.4%
7 1789
 
7.1%
0 1750
 
6.9%
8 1660
 
6.6%
9 1526
 
6.1%
Other Punctuation
ValueCountFrequency (%)
, 20
47.6%
@ 12
28.6%
/ 9
21.4%
' 1
 
2.4%
Lowercase Letter
ValueCountFrequency (%)
a 2
40.0%
e 1
20.0%
r 1
20.0%
k 1
20.0%
Space Separator
ValueCountFrequency (%)
24483
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4261
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 69882
56.4%
Common 54000
43.6%
Latin 50
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
6206
 
8.9%
5687
 
8.1%
5586
 
8.0%
5424
 
7.8%
5109
 
7.3%
5095
 
7.3%
5038
 
7.2%
4955
 
7.1%
4845
 
6.9%
1200
 
1.7%
Other values (227) 20737
29.7%
Common
ValueCountFrequency (%)
24483
45.3%
1 5827
 
10.8%
- 4261
 
7.9%
2 3274
 
6.1%
3 2700
 
5.0%
4 2479
 
4.6%
5 2349
 
4.3%
6 1854
 
3.4%
7 1789
 
3.3%
0 1750
 
3.2%
Other values (9) 3234
 
6.0%
Latin
ValueCountFrequency (%)
A 18
36.0%
B 14
28.0%
a 2
 
4.0%
O 2
 
4.0%
T 2
 
4.0%
E 1
 
2.0%
D 1
 
2.0%
C 1
 
2.0%
e 1
 
2.0%
W 1
 
2.0%
Other values (7) 7
 
14.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 69882
56.4%
ASCII 54050
43.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
24483
45.3%
1 5827
 
10.8%
- 4261
 
7.9%
2 3274
 
6.1%
3 2700
 
5.0%
4 2479
 
4.6%
5 2349
 
4.3%
6 1854
 
3.4%
7 1789
 
3.3%
0 1750
 
3.2%
Other values (26) 3284
 
6.1%
Hangul
ValueCountFrequency (%)
6206
 
8.9%
5687
 
8.1%
5586
 
8.0%
5424
 
7.8%
5109
 
7.3%
5095
 
7.3%
5038
 
7.2%
4955
 
7.1%
4845
 
6.9%
1200
 
1.7%
Other values (227) 20737
29.7%

도로명전체주소
Text

MISSING 

Distinct1606
Distinct (%)93.4%
Missing3432
Missing (%)66.6%
Memory size40.4 KiB
2024-04-18T08:31:17.632752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length49
Mean length26.930233
Min length19

Characters and Unicode

Total characters46320
Distinct characters285
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1512 ?
Unique (%)87.9%

Sample

1st row부산광역시 중구 중앙대로 2 (중앙동7가)
2nd row부산광역시 중구 대청로 121-1, 108호 (대청동1가, 코모도에스테이트)
3rd row부산광역시 중구 자갈치로 33, 신천지 (남포동6가)
4th row부산광역시 중구 동영로64번길 21 (영주동, 문화빌리지)
5th row부산광역시 중구 대영로242번안길 7 (영주동)
ValueCountFrequency (%)
부산광역시 1720
 
19.5%
사상구 468
 
5.3%
남구 424
 
4.8%
중구 231
 
2.6%
대연동 160
 
1.8%
사하구 140
 
1.6%
기장군 136
 
1.5%
문현동 106
 
1.2%
용호동 102
 
1.2%
주례동 94
 
1.1%
Other values (1665) 5253
59.5%
2024-04-18T08:31:18.131223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8283
 
17.9%
1979
 
4.3%
1884
 
4.1%
1829
 
3.9%
1812
 
3.9%
1749
 
3.8%
1721
 
3.7%
1634
 
3.5%
1604
 
3.5%
( 1595
 
3.4%
Other values (275) 22230
48.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 27308
59.0%
Space Separator 8283
 
17.9%
Decimal Number 6955
 
15.0%
Open Punctuation 1595
 
3.4%
Close Punctuation 1595
 
3.4%
Dash Punctuation 307
 
0.7%
Other Punctuation 252
 
0.5%
Uppercase Letter 19
 
< 0.1%
Math Symbol 3
 
< 0.1%
Lowercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1979
 
7.2%
1884
 
6.9%
1829
 
6.7%
1812
 
6.6%
1749
 
6.4%
1721
 
6.3%
1634
 
6.0%
1604
 
5.9%
976
 
3.6%
895
 
3.3%
Other values (249) 11225
41.1%
Decimal Number
ValueCountFrequency (%)
1 1555
22.4%
2 956
13.7%
3 821
11.8%
4 707
10.2%
6 535
 
7.7%
0 533
 
7.7%
5 528
 
7.6%
7 467
 
6.7%
9 463
 
6.7%
8 390
 
5.6%
Uppercase Letter
ValueCountFrequency (%)
B 11
57.9%
A 4
 
21.1%
E 1
 
5.3%
C 1
 
5.3%
D 1
 
5.3%
W 1
 
5.3%
Lowercase Letter
ValueCountFrequency (%)
a 1
33.3%
g 1
33.3%
s 1
33.3%
Other Punctuation
ValueCountFrequency (%)
, 243
96.4%
@ 9
 
3.6%
Space Separator
ValueCountFrequency (%)
8283
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1595
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1595
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 307
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 27308
59.0%
Common 18990
41.0%
Latin 22
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1979
 
7.2%
1884
 
6.9%
1829
 
6.7%
1812
 
6.6%
1749
 
6.4%
1721
 
6.3%
1634
 
6.0%
1604
 
5.9%
976
 
3.6%
895
 
3.3%
Other values (249) 11225
41.1%
Common
ValueCountFrequency (%)
8283
43.6%
( 1595
 
8.4%
) 1595
 
8.4%
1 1555
 
8.2%
2 956
 
5.0%
3 821
 
4.3%
4 707
 
3.7%
6 535
 
2.8%
0 533
 
2.8%
5 528
 
2.8%
Other values (7) 1882
 
9.9%
Latin
ValueCountFrequency (%)
B 11
50.0%
A 4
 
18.2%
E 1
 
4.5%
a 1
 
4.5%
C 1
 
4.5%
D 1
 
4.5%
g 1
 
4.5%
W 1
 
4.5%
s 1
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 27308
59.0%
ASCII 19012
41.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8283
43.6%
( 1595
 
8.4%
) 1595
 
8.4%
1 1555
 
8.2%
2 956
 
5.0%
3 821
 
4.3%
4 707
 
3.7%
6 535
 
2.8%
0 533
 
2.8%
5 528
 
2.8%
Other values (16) 1904
 
10.0%
Hangul
ValueCountFrequency (%)
1979
 
7.2%
1884
 
6.9%
1829
 
6.7%
1812
 
6.6%
1749
 
6.4%
1721
 
6.3%
1634
 
6.0%
1604
 
5.9%
976
 
3.6%
895
 
3.3%
Other values (249) 11225
41.1%

도로명우편번호
Text

MISSING 

Distinct170
Distinct (%)37.9%
Missing4703
Missing (%)91.3%
Memory size40.4 KiB
2024-04-18T08:31:18.468360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length6.4699332
Min length5

Characters and Unicode

Total characters2905
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

Unique72 ?
Unique (%)16.0%

Sample

1st row600-017
2nd row48932
3rd row48982
4th row48914
5th row600-110
ValueCountFrequency (%)
619-903 19
 
4.2%
617-818 11
 
2.4%
617-833 10
 
2.2%
617-800 10
 
2.2%
617-802 10
 
2.2%
48953 9
 
2.0%
600-110 9
 
2.0%
617-841 9
 
2.0%
617-807 8
 
1.8%
617-836 8
 
1.8%
Other values (160) 346
77.1%
2024-04-18T08:31:18.946805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 425
14.6%
6 404
13.9%
8 378
13.0%
- 330
11.4%
7 300
10.3%
0 298
10.3%
9 261
9.0%
4 198
6.8%
3 137
 
4.7%
2 95
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2575
88.6%
Dash Punctuation 330
 
11.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 425
16.5%
6 404
15.7%
8 378
14.7%
7 300
11.7%
0 298
11.6%
9 261
10.1%
4 198
7.7%
3 137
 
5.3%
2 95
 
3.7%
5 79
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 330
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2905
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 425
14.6%
6 404
13.9%
8 378
13.0%
- 330
11.4%
7 300
10.3%
0 298
10.3%
9 261
9.0%
4 198
6.8%
3 137
 
4.7%
2 95
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2905
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 425
14.6%
6 404
13.9%
8 378
13.0%
- 330
11.4%
7 300
10.3%
0 298
10.3%
9 261
9.0%
4 198
6.8%
3 137
 
4.7%
2 95
 
3.3%
Distinct3242
Distinct (%)62.9%
Missing0
Missing (%)0.0%
Memory size40.4 KiB
2024-04-18T08:31:19.231720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length4
Mean length5.1026786
Min length1

Characters and Unicode

Total characters26289
Distinct characters551
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2529 ?
Unique (%)49.1%

Sample

1st row롯데쇼핑(주) 롯데마트 광복점
2nd row세븐일레븐 부산코모도점
3rd row자갈치 탑마트
4th rowGS25 부산터널점
5th row봉래슈퍼마켓
ValueCountFrequency (%)
슈퍼 136
 
2.4%
럭키슈퍼 48
 
0.8%
훼미리마트 39
 
0.7%
담배가게 34
 
0.6%
구멍가게 33
 
0.6%
경북상회 30
 
0.5%
빅세일마트 30
 
0.5%
미화당슈퍼 26
 
0.5%
세븐일레븐 25
 
0.4%
상회 25
 
0.4%
Other values (3290) 5267
92.5%
2024-04-18T08:31:19.644012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2004
 
7.6%
1753
 
6.7%
1019
 
3.9%
961
 
3.7%
894
 
3.4%
773
 
2.9%
591
 
2.2%
543
 
2.1%
389
 
1.5%
366
 
1.4%
Other values (541) 16996
64.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24488
93.1%
Space Separator 543
 
2.1%
Decimal Number 477
 
1.8%
Uppercase Letter 392
 
1.5%
Close Punctuation 162
 
0.6%
Open Punctuation 162
 
0.6%
Lowercase Letter 38
 
0.1%
Dash Punctuation 12
 
< 0.1%
Other Punctuation 11
 
< 0.1%
Modifier Symbol 2
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2004
 
8.2%
1753
 
7.2%
1019
 
4.2%
961
 
3.9%
894
 
3.7%
773
 
3.2%
591
 
2.4%
389
 
1.6%
366
 
1.5%
363
 
1.5%
Other values (485) 15375
62.8%
Uppercase Letter
ValueCountFrequency (%)
G 117
29.8%
S 84
21.4%
L 46
 
11.7%
C 33
 
8.4%
A 16
 
4.1%
K 14
 
3.6%
P 12
 
3.1%
T 11
 
2.8%
M 10
 
2.6%
J 9
 
2.3%
Other values (12) 40
 
10.2%
Lowercase Letter
ValueCountFrequency (%)
i 8
21.1%
n 6
15.8%
g 4
10.5%
s 3
 
7.9%
o 3
 
7.9%
e 3
 
7.9%
k 2
 
5.3%
c 2
 
5.3%
l 1
 
2.6%
u 1
 
2.6%
Other values (5) 5
13.2%
Decimal Number
ValueCountFrequency (%)
2 208
43.6%
5 153
32.1%
4 37
 
7.8%
1 28
 
5.9%
3 19
 
4.0%
8 10
 
2.1%
0 10
 
2.1%
6 7
 
1.5%
7 5
 
1.0%
Other Punctuation
ValueCountFrequency (%)
. 7
63.6%
& 3
27.3%
, 1
 
9.1%
Space Separator
ValueCountFrequency (%)
543
100.0%
Close Punctuation
ValueCountFrequency (%)
) 162
100.0%
Open Punctuation
ValueCountFrequency (%)
( 162
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 2
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24489
93.2%
Common 1370
 
5.2%
Latin 430
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2004
 
8.2%
1753
 
7.2%
1019
 
4.2%
961
 
3.9%
894
 
3.7%
773
 
3.2%
591
 
2.4%
389
 
1.6%
366
 
1.5%
363
 
1.5%
Other values (486) 15376
62.8%
Latin
ValueCountFrequency (%)
G 117
27.2%
S 84
19.5%
L 46
 
10.7%
C 33
 
7.7%
A 16
 
3.7%
K 14
 
3.3%
P 12
 
2.8%
T 11
 
2.6%
M 10
 
2.3%
J 9
 
2.1%
Other values (27) 78
18.1%
Common
ValueCountFrequency (%)
543
39.6%
2 208
 
15.2%
) 162
 
11.8%
( 162
 
11.8%
5 153
 
11.2%
4 37
 
2.7%
1 28
 
2.0%
3 19
 
1.4%
- 12
 
0.9%
8 10
 
0.7%
Other values (8) 36
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24488
93.1%
ASCII 1800
 
6.8%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
2004
 
8.2%
1753
 
7.2%
1019
 
4.2%
961
 
3.9%
894
 
3.7%
773
 
3.2%
591
 
2.4%
389
 
1.6%
366
 
1.5%
363
 
1.5%
Other values (485) 15375
62.8%
ASCII
ValueCountFrequency (%)
543
30.2%
2 208
 
11.6%
) 162
 
9.0%
( 162
 
9.0%
5 153
 
8.5%
G 117
 
6.5%
S 84
 
4.7%
L 46
 
2.6%
4 37
 
2.1%
C 33
 
1.8%
Other values (45) 255
14.2%
None
ValueCountFrequency (%)
1
100.0%
Distinct1529
Distinct (%)29.7%
Missing0
Missing (%)0.0%
Memory size40.4 KiB
Minimum2007-07-07 09:58:56
Maximum2023-02-13 16:25:51
2024-04-18T08:31:19.774611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T08:31:19.910896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size40.4 KiB
I
5070 
U
 
82

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 5070
98.4%
U 82
 
1.6%

Length

2024-04-18T08:31:20.029932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T08:31:20.125171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 5070
98.4%
u 82
 
1.6%
Distinct100
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size40.4 KiB
Minimum2018-08-31 23:59:59
Maximum2023-02-15 00:40:56
2024-04-18T08:31:20.246681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T08:31:20.368032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5152
Missing (%)100.0%
Memory size45.4 KiB

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct1870
Distinct (%)89.6%
Missing3064
Missing (%)59.5%
Infinite0
Infinite (%)0.0%
Mean387935.93
Minimum370283.36
Maximum408017.31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size45.4 KiB
2024-04-18T08:31:20.510592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum370283.36
5-th percentile379681.46
Q1381734.29
median386973.02
Q3392550.34
95-th percentile401466.33
Maximum408017.31
Range37733.954
Interquartile range (IQR)10816.049

Descriptive statistics

Standard deviation6508.5181
Coefficient of variation (CV)0.016777302
Kurtosis-0.13161932
Mean387935.93
Median Absolute Deviation (MAD)5465.93
Skewness0.5864958
Sum8.1001021 × 108
Variance42360808
MonotonicityNot monotonic
2024-04-18T08:31:20.645973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
385230.605157267 5
 
0.1%
385576.893648772 5
 
0.1%
385558.912351386 5
 
0.1%
379554.826788489 5
 
0.1%
386296.184967112 4
 
0.1%
390195.849928706 4
 
0.1%
388577.664510707 4
 
0.1%
373499.123572701 4
 
0.1%
381345.772891816 4
 
0.1%
385570.015221682 4
 
0.1%
Other values (1860) 2044
39.7%
(Missing) 3064
59.5%
ValueCountFrequency (%)
370283.356710759 1
 
< 0.1%
373348.883144037 1
 
< 0.1%
373499.123572701 4
0.1%
375687.207326494 2
< 0.1%
375806.291316533 1
 
< 0.1%
376066.307716551 1
 
< 0.1%
376323.373375018 2
< 0.1%
377247.719697649 1
 
< 0.1%
377251.892703857 1
 
< 0.1%
377428.060273734 1
 
< 0.1%
ValueCountFrequency (%)
408017.311050022 1
< 0.1%
408001.930942479 1
< 0.1%
407556.883860416 1
< 0.1%
407183.523403722 1
< 0.1%
407121.780972478 1
< 0.1%
406941.374909645 1
< 0.1%
405695.504047813 1
< 0.1%
405674.293308155 1
< 0.1%
405671.882820521 1
< 0.1%
405636.515481036 1
< 0.1%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct1870
Distinct (%)89.6%
Missing3064
Missing (%)59.5%
Infinite0
Infinite (%)0.0%
Mean185747.79
Minimum173895.66
Maximum210111.93
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size45.4 KiB
2024-04-18T08:31:20.781393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum173895.66
5-th percentile178633.43
Q1181474.15
median184651.64
Q3189053.7
95-th percentile196023.88
Maximum210111.93
Range36216.274
Interquartile range (IQR)7579.5487

Descriptive statistics

Standard deviation5792.3886
Coefficient of variation (CV)0.031184159
Kurtosis1.0967027
Mean185747.79
Median Absolute Deviation (MAD)3589.8802
Skewness0.98997673
Sum3.8784139 × 108
Variance33551765
MonotonicityNot monotonic
2024-04-18T08:31:20.915922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
181026.921498134 5
 
0.1%
185778.180339864 5
 
0.1%
182474.551700716 5
 
0.1%
184301.128962727 5
 
0.1%
182709.735940952 4
 
0.1%
183602.493480861 4
 
0.1%
178279.998453366 4
 
0.1%
181704.648037241 4
 
0.1%
189447.844867645 4
 
0.1%
187424.7082035 4
 
0.1%
Other values (1860) 2044
39.7%
(Missing) 3064
59.5%
ValueCountFrequency (%)
173895.655729558 1
 
< 0.1%
174087.295724335 1
 
< 0.1%
174140.916066183 3
0.1%
174581.422989481 1
 
< 0.1%
174641.982653379 1
 
< 0.1%
174726.119275798 1
 
< 0.1%
174811.513941025 1
 
< 0.1%
174835.290190726 2
< 0.1%
175046.234022708 1
 
< 0.1%
175305.892570274 1
 
< 0.1%
ValueCountFrequency (%)
210111.930055851 1
< 0.1%
210070.139497292 1
< 0.1%
208045.649878874 1
< 0.1%
205746.641292244 1
< 0.1%
205731.410874073 1
< 0.1%
205657.798299973 1
< 0.1%
205511.039663436 1
< 0.1%
205498.396301384 1
< 0.1%
205453.320815192 1
< 0.1%
205450.374566703 1
< 0.1%

업소구분명
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size40.4 KiB
지정
2605 
<NA>
2175 
종료
372 

Length

Max length4
Median length2
Mean length2.8443323
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row지정
2nd row지정
3rd row지정
4th row지정
5th row종료

Common Values

ValueCountFrequency (%)
지정 2605
50.6%
<NA> 2175
42.2%
종료 372
 
7.2%

Length

2024-04-18T08:31:21.055495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T08:31:21.161429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지정 2605
50.6%
na 2175
42.2%
종료 372
 
7.2%

소재지
Text

MISSING 

Distinct2115
Distinct (%)87.9%
Missing2746
Missing (%)53.3%
Memory size40.4 KiB
2024-04-18T08:31:21.479671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length36
Mean length11.29468
Min length2

Characters and Unicode

Total characters27175
Distinct characters212
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1998 ?
Unique (%)83.0%

Sample

1st row부산광역시 중구 대청동1가 37번지 1호 코모도에스테이트 108호
2nd row부산광역시 중구 영주동 142번지 24호 문화빌리지
3rd row부산광역시 중구 영주동 640-28번지 2 통 2 반
4th row부산광역시 중구 영주동 28번지 8 통 3 반
5th row부산광역시 중구 영주동 525번지 18 통 1 반
ValueCountFrequency (%)
부산광역시 638
 
11.7%
중구 307
 
5.6%
사상구 296
 
5.4%
1호 80
 
1.5%
68
 
1.2%
영주동 56
 
1.0%
괘법동 51
 
0.9%
대라리 46
 
0.8%
2호 38
 
0.7%
감전동 35
 
0.6%
Other values (2248) 3831
70.3%
2024-04-18T08:31:21.948787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3341
 
12.3%
1 2456
 
9.0%
2 1473
 
5.4%
- 1422
 
5.2%
3 1112
 
4.1%
1061
 
3.9%
5 999
 
3.7%
4 944
 
3.5%
799
 
2.9%
785
 
2.9%
Other values (202) 12783
47.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11489
42.3%
Decimal Number 10712
39.4%
Space Separator 3341
 
12.3%
Dash Punctuation 1422
 
5.2%
Other Punctuation 111
 
0.4%
Close Punctuation 41
 
0.2%
Open Punctuation 41
 
0.2%
Uppercase Letter 15
 
0.1%
Math Symbol 1
 
< 0.1%
Modifier Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1061
 
9.2%
799
 
7.0%
785
 
6.8%
715
 
6.2%
684
 
6.0%
664
 
5.8%
661
 
5.8%
651
 
5.7%
642
 
5.6%
598
 
5.2%
Other values (179) 4229
36.8%
Decimal Number
ValueCountFrequency (%)
1 2456
22.9%
2 1473
13.8%
3 1112
10.4%
5 999
9.3%
4 944
 
8.8%
0 784
 
7.3%
6 774
 
7.2%
7 770
 
7.2%
8 712
 
6.6%
9 688
 
6.4%
Other Punctuation
ValueCountFrequency (%)
/ 92
82.9%
@ 13
 
11.7%
, 6
 
5.4%
Uppercase Letter
ValueCountFrequency (%)
B 8
53.3%
A 6
40.0%
C 1
 
6.7%
Space Separator
ValueCountFrequency (%)
3341
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1422
100.0%
Close Punctuation
ValueCountFrequency (%)
) 41
100.0%
Open Punctuation
ValueCountFrequency (%)
( 41
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
a 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 15670
57.7%
Hangul 11489
42.3%
Latin 16
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1061
 
9.2%
799
 
7.0%
785
 
6.8%
715
 
6.2%
684
 
6.0%
664
 
5.8%
661
 
5.8%
651
 
5.7%
642
 
5.6%
598
 
5.2%
Other values (179) 4229
36.8%
Common
ValueCountFrequency (%)
3341
21.3%
1 2456
15.7%
2 1473
9.4%
- 1422
9.1%
3 1112
 
7.1%
5 999
 
6.4%
4 944
 
6.0%
0 784
 
5.0%
6 774
 
4.9%
7 770
 
4.9%
Other values (9) 1595
10.2%
Latin
ValueCountFrequency (%)
B 8
50.0%
A 6
37.5%
C 1
 
6.2%
a 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15686
57.7%
Hangul 11488
42.3%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3341
21.3%
1 2456
15.7%
2 1473
9.4%
- 1422
9.1%
3 1112
 
7.1%
5 999
 
6.4%
4 944
 
6.0%
0 784
 
5.0%
6 774
 
4.9%
7 770
 
4.9%
Other values (13) 1611
10.3%
Hangul
ValueCountFrequency (%)
1061
 
9.2%
799
 
7.0%
785
 
6.8%
715
 
6.2%
684
 
6.0%
664
 
5.8%
661
 
5.8%
651
 
5.7%
642
 
5.6%
598
 
5.2%
Other values (178) 4228
36.8%
Compat Jamo
ValueCountFrequency (%)
1
100.0%

지정일자
Real number (ℝ)

MISSING 

Distinct342
Distinct (%)49.8%
Missing4465
Missing (%)86.7%
Infinite0
Infinite (%)0.0%
Mean20053362
Minimum19950301
Maximum20230213
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size45.4 KiB
2024-04-18T08:31:22.079004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19950301
5-th percentile19950301
Q119950301
median20090602
Q320110421
95-th percentile20210784
Maximum20230213
Range279912
Interquartile range (IQR)160120

Descriptive statistics

Standard deviation92985.236
Coefficient of variation (CV)0.0046368902
Kurtosis-1.3746027
Mean20053362
Median Absolute Deviation (MAD)100210
Skewness0.1015114
Sum1.3776659 × 1010
Variance8.6462541 × 109
MonotonicityNot monotonic
2024-04-18T08:31:22.208555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19950301 283
 
5.5%
20110308 4
 
0.1%
20100316 3
 
0.1%
20090102 3
 
0.1%
20110523 3
 
0.1%
20100525 3
 
0.1%
20110421 3
 
0.1%
20110504 3
 
0.1%
20090914 3
 
0.1%
20090427 2
 
< 0.1%
Other values (332) 377
 
7.3%
(Missing) 4465
86.7%
ValueCountFrequency (%)
19950301 283
5.5%
20060203 1
 
< 0.1%
20070724 1
 
< 0.1%
20070726 1
 
< 0.1%
20070731 1
 
< 0.1%
20070802 1
 
< 0.1%
20070807 2
 
< 0.1%
20070829 1
 
< 0.1%
20070906 1
 
< 0.1%
20070911 2
 
< 0.1%
ValueCountFrequency (%)
20230213 1
< 0.1%
20230209 1
< 0.1%
20221220 1
< 0.1%
20221201 1
< 0.1%
20221111 2
< 0.1%
20221031 1
< 0.1%
20221027 2
< 0.1%
20221025 1
< 0.1%
20221018 1
< 0.1%
20221005 1
< 0.1%

신청일자
Real number (ℝ)

MISSING  SKEWED 

Distinct711
Distinct (%)24.3%
Missing2225
Missing (%)43.2%
Infinite0
Infinite (%)0.0%
Mean19995833
Minimum1995010
Maximum50000504
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size45.4 KiB
2024-04-18T08:31:22.344158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1995010
5-th percentile19950101
Q119950301
median19960308
Q320010102
95-th percentile20120178
Maximum50000504
Range48005494
Interquartile range (IQR)59801

Descriptive statistics

Standard deviation649901.77
Coefficient of variation (CV)0.03250186
Kurtosis1754.4501
Mean19995833
Median Absolute Deviation (MAD)10207
Skewness26.388696
Sum5.8527803 × 1010
Variance4.2237231 × 1011
MonotonicityNot monotonic
2024-04-18T08:31:22.471822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19950301 704
 
13.7%
20010102 399
 
7.7%
19950101 246
 
4.8%
19960308 133
 
2.6%
19960101 115
 
2.2%
19950501 107
 
2.1%
19941221 59
 
1.1%
19960501 46
 
0.9%
19970501 40
 
0.8%
19950215 36
 
0.7%
Other values (701) 1042
20.2%
(Missing) 2225
43.2%
ValueCountFrequency (%)
1995010 1
 
< 0.1%
19550501 2
 
< 0.1%
19660308 3
 
0.1%
19920101 3
 
0.1%
19930101 6
 
0.1%
19930901 1
 
< 0.1%
19940101 1
 
< 0.1%
19941219 15
 
0.3%
19941221 59
1.1%
19941225 1
 
< 0.1%
ValueCountFrequency (%)
50000504 1
< 0.1%
20230213 1
< 0.1%
20230209 1
< 0.1%
20221219 1
< 0.1%
20221128 1
< 0.1%
20221107 1
< 0.1%
20221102 1
< 0.1%
20221027 1
< 0.1%
20221024 2
< 0.1%
20221021 1
< 0.1%

항목값1
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size40.4 KiB
관급봉투
5152 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
관급봉투 5152
100.0%

Length

2024-04-18T08:31:22.588166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T08:31:22.682560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
관급봉투 5152
100.0%

Unnamed: 33
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5152
Missing (%)100.0%
Memory size45.4 KiB

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)업소구분명소재지지정일자신청일자항목값1Unnamed: 33
01쓰레기종량제봉투판매업09_30_13_P32500003250000142014000092014-08-05<NA>1영업/정상0<NA><NA>2016-08-07<NA><NA>051-250-2921<NA><NA><NA>부산광역시 중구 중앙대로 2 (중앙동7가)600-017롯데쇼핑(주) 롯데마트 광복점2022-04-22 14:46:12U2022-04-24 02:40:00<NA>385590.814677179553.867032지정<NA>2022042220220422관급봉투<NA>
12쓰레기종량제봉투판매업09_30_13_P32500003250000142018000122018-11-05<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA><NA>부산광역시 중구 대청동1가 37-1번지 코모도에스테이트 108호부산광역시 중구 대청로 121-1, 108호 (대청동1가, 코모도에스테이트)48932세븐일레븐 부산코모도점2018-11-05 10:07:46I2018-11-07 02:37:55<NA>385306.698877180120.939471지정부산광역시 중구 대청동1가 37번지 1호 코모도에스테이트 108호2018110520181105관급봉투<NA>
23쓰레기종량제봉투판매업09_30_13_P32500003250000142019000012019-01-11<NA>1영업/정상11영업<NA><NA><NA><NA>051-248-8106<NA><NA>부산광역시 중구 남포동6가 3번지 신천지부산광역시 중구 자갈치로 33, 신천지 (남포동6가)48982자갈치 탑마트2019-01-11 17:51:39I2019-01-13 02:20:47<NA>384836.914456179432.73458지정<NA>2019011120190111관급봉투<NA>
34쓰레기종량제봉투판매업09_30_13_P32500003250000142019000022019-03-19<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA><NA>부산광역시 중구 영주동 142-24번지 문화빌리지부산광역시 중구 동영로64번길 21 (영주동, 문화빌리지)48914GS25 부산터널점2019-03-19 11:05:38I2019-03-21 02:21:57<NA>385234.390509181142.867958지정부산광역시 중구 영주동 142번지 24호 문화빌리지2019031920190318관급봉투<NA>
45쓰레기종량제봉투판매업09_30_13_P32500003250000141994000011994-12-21<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA>600-111부산광역시 중구 영주동 640-28 2통2반부산광역시 중구 대영로242번안길 7 (영주동)600-110봉래슈퍼마켓2021-02-02 12:09:45U2021-02-04 02:40:00<NA>385551.263008180920.368072종료부산광역시 중구 영주동 640-28번지 2 통 2 반<NA>19941221관급봉투<NA>
56쓰레기종량제봉투판매업09_30_13_P32500003250000141994000031994-12-21<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA>600-111부산광역시 중구 영주동 28번지 8통3반<NA><NA>경북상회2013-12-30 12:54:53I2018-08-31 23:59:59<NA><NA><NA>지정부산광역시 중구 영주동 28번지 8 통 3 반<NA>19941221관급봉투<NA>
67쓰레기종량제봉투판매업09_30_13_P32500003250000141994000041994-12-21<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA>600-111부산광역시 중구 영주동 525번지 18통1반<NA><NA>잡화상2007-07-07 10:00:50I2018-08-31 23:59:59<NA><NA><NA>지정부산광역시 중구 영주동 525번지 18 통 1 반<NA>19941221관급봉투<NA>
78쓰레기종량제봉투판매업09_30_13_P32500003250000141994000051994-12-21<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA>600-052부산광역시 중구 창선동2가 40번지<NA><NA>창선담배집2013-12-30 12:58:01I2018-08-31 23:59:59<NA><NA><NA>지정부산광역시 중구 창선동2가 40번지<NA>19941221관급봉투<NA>
89쓰레기종량제봉투판매업09_30_13_P32500003250000141994000061994-12-21<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA>600-062부산광역시 중구 신창동2가 22번지부산광역시 중구 광복로43번길 11 (신창동2가)<NA>신생아파트2013-12-30 12:59:01I2018-08-31 23:59:59<NA>384985.998766179790.331106지정부산광역시 중구 신창동1가 4번지<NA>19941221관급봉투<NA>
910쓰레기종량제봉투판매업09_30_13_P32500003250000141994000071994-12-21<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA>600-061부산광역시 중구 신창동1가 4번지부산광역시 중구 광복중앙로 27 (신창동1가)<NA>용두산맨션2013-12-30 12:59:47I2018-08-31 23:59:59<NA>385081.060358179965.026159지정부산광역시 중구 신창동1가 4번지<NA>19941221관급봉투<NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)업소구분명소재지지정일자신청일자항목값1Unnamed: 33
51425143쓰레기종량제봉투판매업09_30_13_P34000003400000141996001271996-03-08<NA>3폐업2폐업2009-01-122009-01-12<NA><NA><NA><NA>619-911부산광역시 기장군 일광면 동백리 285-18번지부산광역시 기장군 일광면 문오성길 25<NA>새마을상점2014-01-09 08:40:11I2018-08-31 23:59:59<NA>405307.98692200499.137723지정동백리 285번지 18호<NA><NA>관급봉투<NA>
51435144쓰레기종량제봉투판매업09_30_13_P34000003400000141996001281996-03-08<NA>3폐업2폐업2009-01-122009-01-12<NA><NA><NA><NA>619-911부산광역시 기장군 일광면 신평리 62-3번지부산광역시 기장군 일광면 일광로 603<NA>신평상회2014-01-09 08:42:09I2018-08-31 23:59:59<NA>405411.883392201954.961999지정신평리 62번지 3호<NA><NA>관급봉투<NA>
51445145쓰레기종량제봉투판매업09_30_13_P34000003400000141996001291996-03-08<NA>3폐업2폐업2009-01-122009-01-12<NA><NA><NA><NA>619-911부산광역시 기장군 일광면 신평리 39-3번지부산광역시 기장군 일광면 일광로 605<NA>장안상회2014-01-09 08:43:49I2018-08-31 23:59:59<NA>405407.600557201974.114173지정신평리 62번지 3호<NA><NA>관급봉투<NA>
51455146쓰레기종량제봉투판매업09_30_13_P34000003400000141996001731996-03-08<NA>3폐업2폐업2010-01-112010-01-11<NA><NA><NA><NA>619-903부산광역시 기장군 기장읍 대라리 406-2 번지<NA><NA>이,미용협회사무실2014-01-09 10:32:02I2018-08-31 23:59:59<NA><NA><NA>지정대라리 406번지 2 호<NA>19960308관급봉투<NA>
51465147쓰레기종량제봉투판매업09_30_13_P34000003400000141996001761996-07-02<NA>3폐업2폐업2010-01-112010-01-11<NA><NA><NA><NA>619-912부산광역시 기장군 일광면 삼성리 109-25 번지<NA><NA>삼거리상회2014-01-09 10:39:27I2018-08-31 23:59:59<NA><NA><NA>지정삼성리 109번지 25 호<NA>19960702관급봉투<NA>
51475148쓰레기종량제봉투판매업09_30_13_P34000003400000141996001771996-09-09<NA>3폐업2폐업2010-01-112010-01-11<NA><NA><NA><NA>619-903부산광역시 기장군 기장읍 대라리 98번지<NA><NA>대우상회2014-01-09 10:40:41I2018-08-31 23:59:59<NA><NA><NA>지정대라리 98번지<NA>19960909관급봉투<NA>
51485149쓰레기종량제봉투판매업09_30_13_P34000003400000141996001552004-05-12<NA>3폐업2폐업2009-01-122009-01-12<NA><NA><NA><NA>619-962부산광역시 기장군 정관읍 모전리 55-1 번지<NA><NA>가동상회2014-01-09 10:12:35I2018-08-31 23:59:59<NA><NA><NA>지정모전리 55-1<NA>20040512관급봉투<NA>
51495150쓰레기종량제봉투판매업09_30_13_P34000003400000141996001561996-03-08<NA>3폐업2폐업2010-01-112010-01-11<NA><NA><NA><NA>619-963부산광역시 기장군 정관읍 용수리 786-1번지<NA><NA>덕전상회2014-01-09 10:14:28I2018-08-31 23:59:59<NA><NA><NA>지정용수리 786번지 1호<NA>19960308관급봉투<NA>
51505151쓰레기종량제봉투판매업09_30_13_P34000003400000141996001571996-03-08<NA>3폐업2폐업2010-01-112010-01-11<NA><NA><NA><NA>619-963부산광역시 기장군 정관읍 용수리 610-2번지부산광역시 기장군 정관면 산막길 9<NA>산막상회2014-01-09 10:15:38I2018-08-31 23:59:59<NA>397348.989018205746.641292지정용수리 610번지 2호<NA>19960308관급봉투<NA>
51515152쓰레기종량제봉투판매업09_30_13_P34000003400000141996001581996-03-08<NA>3폐업2폐업2010-01-112010-01-11<NA><NA><NA><NA>619-962부산광역시 기장군 정관읍 모전리 175번지<NA><NA>모전구판장2014-01-09 10:16:25I2018-08-31 23:59:59<NA><NA><NA>지정모전리 175번지<NA>19960308관급봉투<NA>