Overview

Dataset statistics

Number of variables34
Number of observations5150
Missing cells58495
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

Description2023-03-01
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 5150 (100.0%) missing valuesMissing
휴업종료일자 has 5150 (100.0%) missing valuesMissing
재개업일자 has 5150 (100.0%) missing valuesMissing
소재지전화 has 3469 (67.4%) missing valuesMissing
소재지면적 has 5150 (100.0%) missing valuesMissing
소재지우편번호 has 172 (3.3%) 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 5150 (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 5150 (100.0%) missing valuesMissing
신청일자 is highly skewed (γ1 = 26.38391647)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 23:34:45.587807
Analysis finished2024-04-17 23:34:46.701803
Duration1.11 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct5150
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2575.5
Minimum1
Maximum5150
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size45.4 KiB
2024-04-18T08:34:46.766506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile258.45
Q11288.25
median2575.5
Q33862.75
95-th percentile4892.55
Maximum5150
Range5149
Interquartile range (IQR)2574.5

Descriptive statistics

Standard deviation1486.8213
Coefficient of variation (CV)0.57729422
Kurtosis-1.2
Mean2575.5
Median Absolute Deviation (MAD)1287.5
Skewness0
Sum13263825
Variance2210637.5
MonotonicityStrictly increasing
2024-04-18T08:34:46.900491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
3382 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%
3433 1
 
< 0.1%
Other values (5140) 5140
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 (%)
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%
5142 1
< 0.1%
5141 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size40.4 KiB
쓰레기종량제봉투판매업
5150 

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 5150
100.0%

Length

2024-04-18T08:34:47.027112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T08:34:47.115306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
쓰레기종량제봉투판매업 5150
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size40.4 KiB
09_30_13_P
5150 

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 5150
100.0%

Length

2024-04-18T08:34:47.209633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T08:34:47.297315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
09_30_13_p 5150
100.0%

개방자치단체코드
Real number (ℝ)

Distinct13
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3322594.2
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size45.4 KiB
2024-04-18T08:34:47.374923image/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 deviation50049.775
Coefficient of variation (CV)0.015063463
Kurtosis-1.4377414
Mean3322594.2
Median Absolute Deviation (MAD)40000
Skewness0.25340523
Sum1.711136 × 1010
Variance2.50498 × 109
MonotonicityIncreasing
2024-04-18T08:34:47.488067image/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 383
7.4%
3300000 368
7.1%
3330000 326
6.3%
3400000 269
 
5.2%
Other values (3) 328
6.4%
ValueCountFrequency (%)
3250000 383
7.4%
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 

Distinct5150
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.3225943 × 1017
Minimum3.2500001 × 1017
Maximum3.4000001 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size45.4 KiB
2024-04-18T08:34:47.621431image/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 deviation5.0049775 × 1015
Coefficient of variation (CV)0.015063462
Kurtosis-1.4377414
Mean3.3225943 × 1017
Median Absolute Deviation (MAD)4 × 1015
Skewness0.25340523
Sum-4.4111257 × 1018
Variance2.50498 × 1031
MonotonicityNot monotonic
2024-04-18T08:34:47.755110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
325000014201400009 1
 
< 0.1%
334000014201000067 1
 
< 0.1%
336000014199500061 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%
Other values (5140) 5140
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 

Distinct1169
Distinct (%)23.6%
Missing195
Missing (%)3.8%
Memory size40.4 KiB
Minimum1966-03-08 00:00:00
Maximum2022-12-20 00:00:00
2024-04-18T08:34:47.892643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T08:34:48.024781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5150
Missing (%)100.0%
Memory size45.4 KiB

영업상태구분코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size40.4 KiB
1
4606 
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 4606
89.4%
3 543
 
10.5%
2 1
 
< 0.1%

Length

2024-04-18T08:34:48.157284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T08:34:48.253543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 4606
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
4606 
폐업
543 
휴업
 
1

Length

Max length5
Median length5
Mean length4.6831068
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 4606
89.4%
폐업 543
 
10.5%
휴업 1
 
< 0.1%

Length

2024-04-18T08:34:48.357509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T08:34:48.451162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 4606
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
4605 
2
543 
0
 
1
1
 
1

Length

Max length2
Median length2
Mean length1.8941748
Min length1

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
11 4605
89.4%
2 543
 
10.5%
0 1
 
< 0.1%
1 1
 
< 0.1%

Length

2024-04-18T08:34:48.549908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T08:34:48.654450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11 4605
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
4605 
폐업
543 
<NA>
 
1
휴업
 
1

Length

Max length4
Median length2
Mean length2.0003883
Min length2

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
영업 4605
89.4%
폐업 543
 
10.5%
<NA> 1
 
< 0.1%
휴업 1
 
< 0.1%

Length

2024-04-18T08:34:48.774473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T08:34:48.883413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 4605
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>
4608 
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 length4.6314563
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> 4608
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

2024-04-18T08:34:48.984969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 4608
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>
4636 
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 length4.598835
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> 4636
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

2024-04-18T08:34:49.105083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 4636
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 

Missing5150
Missing (%)100.0%
Memory size45.4 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5150
Missing (%)100.0%
Memory size45.4 KiB

소재지전화
Text

MISSING 

Distinct1607
Distinct (%)95.6%
Missing3469
Missing (%)67.4%
Memory size40.4 KiB
2024-04-18T08:34:49.312888image/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%
2024-04-18T08:34:49.659345image/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 

Missing5150
Missing (%)100.0%
Memory size45.4 KiB

소재지우편번호
Text

MISSING 

Distinct419
Distinct (%)8.4%
Missing172
Missing (%)3.3%
Memory size40.4 KiB
2024-04-18T08:34:49.988718image/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%
2024-04-18T08:34:50.621449image/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 

Distinct4600
Distinct (%)90.4%
Missing60
Missing (%)1.2%
Memory size40.4 KiB
2024-04-18T08:34:50.981773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length45
Mean length24.340668
Min length14

Characters and Unicode

Total characters123894
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

Unique4228 ?
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 5090
 
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 (4745) 13953
54.3%
2024-04-18T08:34:51.545983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
24477
19.8%
6204
 
5.0%
1 5823
 
4.7%
5685
 
4.6%
5584
 
4.5%
5422
 
4.4%
5107
 
4.1%
5093
 
4.1%
5038
 
4.1%
4955
 
4.0%
Other values (263) 50506
40.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 69860
56.4%
Decimal Number 25200
 
20.3%
Space Separator 24477
 
19.8%
Dash Punctuation 4259
 
3.4%
Uppercase Letter 45
 
< 0.1%
Other Punctuation 42
 
< 0.1%
Lowercase Letter 5
 
< 0.1%
Math Symbol 4
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
6204
 
8.9%
5685
 
8.1%
5584
 
8.0%
5422
 
7.8%
5107
 
7.3%
5093
 
7.3%
5038
 
7.2%
4955
 
7.1%
4843
 
6.9%
1200
 
1.7%
Other values (227) 20729
29.7%
Uppercase Letter
ValueCountFrequency (%)
A 18
40.0%
B 14
31.1%
O 2
 
4.4%
T 2
 
4.4%
C 1
 
2.2%
D 1
 
2.2%
E 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 5823
23.1%
2 3273
13.0%
3 2698
10.7%
4 2479
9.8%
5 2349
9.3%
6 1853
 
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%
k 1
20.0%
r 1
20.0%
Space Separator
ValueCountFrequency (%)
24477
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4259
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 69860
56.4%
Common 53984
43.6%
Latin 50
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
6204
 
8.9%
5685
 
8.1%
5584
 
8.0%
5422
 
7.8%
5107
 
7.3%
5093
 
7.3%
5038
 
7.2%
4955
 
7.1%
4843
 
6.9%
1200
 
1.7%
Other values (227) 20729
29.7%
Common
ValueCountFrequency (%)
24477
45.3%
1 5823
 
10.8%
- 4259
 
7.9%
2 3273
 
6.1%
3 2698
 
5.0%
4 2479
 
4.6%
5 2349
 
4.4%
6 1853
 
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%
O 2
 
4.0%
T 2
 
4.0%
a 2
 
4.0%
C 1
 
2.0%
D 1
 
2.0%
e 1
 
2.0%
k 1
 
2.0%
E 1
 
2.0%
Other values (7) 7
 
14.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 69860
56.4%
ASCII 54034
43.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
24477
45.3%
1 5823
 
10.8%
- 4259
 
7.9%
2 3273
 
6.1%
3 2698
 
5.0%
4 2479
 
4.6%
5 2349
 
4.3%
6 1853
 
3.4%
7 1789
 
3.3%
0 1750
 
3.2%
Other values (26) 3284
 
6.1%
Hangul
ValueCountFrequency (%)
6204
 
8.9%
5685
 
8.1%
5584
 
8.0%
5422
 
7.8%
5107
 
7.3%
5093
 
7.3%
5038
 
7.2%
4955
 
7.1%
4843
 
6.9%
1200
 
1.7%
Other values (227) 20729
29.7%

도로명전체주소
Text

MISSING 

Distinct1604
Distinct (%)93.4%
Missing3432
Missing (%)66.6%
Memory size40.4 KiB
2024-04-18T08:34:51.893774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length49
Mean length26.924331
Min length19

Characters and Unicode

Total characters46256
Distinct characters283
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

Unique1510 ?
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 1718
 
19.5%
사상구 468
 
5.3%
남구 424
 
4.8%
중구 229
 
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 (1663) 5244
59.4%
2024-04-18T08:34:52.378497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8272
 
17.9%
1977
 
4.3%
1881
 
4.1%
1827
 
3.9%
1810
 
3.9%
1747
 
3.8%
1719
 
3.7%
1632
 
3.5%
1602
 
3.5%
( 1593
 
3.4%
Other values (273) 22196
48.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 27273
59.0%
Space Separator 8272
 
17.9%
Decimal Number 6945
 
15.0%
Open Punctuation 1593
 
3.4%
Close Punctuation 1593
 
3.4%
Dash Punctuation 307
 
0.7%
Other Punctuation 250
 
0.5%
Uppercase Letter 19
 
< 0.1%
Math Symbol 3
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1977
 
7.2%
1881
 
6.9%
1827
 
6.7%
1810
 
6.6%
1747
 
6.4%
1719
 
6.3%
1632
 
6.0%
1602
 
5.9%
976
 
3.6%
895
 
3.3%
Other values (249) 11207
41.1%
Decimal Number
ValueCountFrequency (%)
1 1550
22.3%
2 953
13.7%
3 821
11.8%
4 707
10.2%
6 535
 
7.7%
0 533
 
7.7%
5 527
 
7.6%
7 467
 
6.7%
9 462
 
6.7%
8 390
 
5.6%
Uppercase Letter
ValueCountFrequency (%)
B 11
57.9%
A 4
 
21.1%
E 1
 
5.3%
D 1
 
5.3%
C 1
 
5.3%
W 1
 
5.3%
Other Punctuation
ValueCountFrequency (%)
, 241
96.4%
@ 9
 
3.6%
Space Separator
ValueCountFrequency (%)
8272
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1593
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1593
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 307
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Lowercase Letter
ValueCountFrequency (%)
a 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 27273
59.0%
Common 18963
41.0%
Latin 20
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1977
 
7.2%
1881
 
6.9%
1827
 
6.7%
1810
 
6.6%
1747
 
6.4%
1719
 
6.3%
1632
 
6.0%
1602
 
5.9%
976
 
3.6%
895
 
3.3%
Other values (249) 11207
41.1%
Common
ValueCountFrequency (%)
8272
43.6%
( 1593
 
8.4%
) 1593
 
8.4%
1 1550
 
8.2%
2 953
 
5.0%
3 821
 
4.3%
4 707
 
3.7%
6 535
 
2.8%
0 533
 
2.8%
5 527
 
2.8%
Other values (7) 1879
 
9.9%
Latin
ValueCountFrequency (%)
B 11
55.0%
A 4
 
20.0%
E 1
 
5.0%
D 1
 
5.0%
C 1
 
5.0%
a 1
 
5.0%
W 1
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 27273
59.0%
ASCII 18983
41.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8272
43.6%
( 1593
 
8.4%
) 1593
 
8.4%
1 1550
 
8.2%
2 953
 
5.0%
3 821
 
4.3%
4 707
 
3.7%
6 535
 
2.8%
0 533
 
2.8%
5 527
 
2.8%
Other values (14) 1899
 
10.0%
Hangul
ValueCountFrequency (%)
1977
 
7.2%
1881
 
6.9%
1827
 
6.7%
1810
 
6.6%
1747
 
6.4%
1719
 
6.3%
1632
 
6.0%
1602
 
5.9%
976
 
3.6%
895
 
3.3%
Other values (249) 11207
41.1%

도로명우편번호
Text

MISSING 

Distinct170
Distinct (%)38.0%
Missing4703
Missing (%)91.3%
Memory size40.4 KiB
2024-04-18T08:34:52.681923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length6.4765101
Min length5

Characters and Unicode

Total characters2895
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

Unique74 ?
Unique (%)16.6%

Sample

1st row600-017
2nd row48932
3rd row48982
4th row48914
5th row600-110
ValueCountFrequency (%)
619-903 19
 
4.3%
617-818 11
 
2.5%
617-802 10
 
2.2%
617-800 10
 
2.2%
617-833 10
 
2.2%
48953 9
 
2.0%
617-841 9
 
2.0%
600-110 9
 
2.0%
617-807 8
 
1.8%
617-836 8
 
1.8%
Other values (160) 344
77.0%
2024-04-18T08:34:53.121651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 425
14.7%
6 404
14.0%
8 375
13.0%
- 330
11.4%
7 300
10.4%
0 298
10.3%
9 259
8.9%
4 194
6.7%
3 137
 
4.7%
2 94
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2565
88.6%
Dash Punctuation 330
 
11.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 425
16.6%
6 404
15.8%
8 375
14.6%
7 300
11.7%
0 298
11.6%
9 259
10.1%
4 194
7.6%
3 137
 
5.3%
2 94
 
3.7%
5 79
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 330
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2895
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 425
14.7%
6 404
14.0%
8 375
13.0%
- 330
11.4%
7 300
10.4%
0 298
10.3%
9 259
8.9%
4 194
6.7%
3 137
 
4.7%
2 94
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2895
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 425
14.7%
6 404
14.0%
8 375
13.0%
- 330
11.4%
7 300
10.4%
0 298
10.3%
9 259
8.9%
4 194
6.7%
3 137
 
4.7%
2 94
 
3.2%
Distinct3240
Distinct (%)62.9%
Missing0
Missing (%)0.0%
Memory size40.4 KiB
2024-04-18T08:34:53.425709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length4
Mean length5.1001942
Min length1

Characters and Unicode

Total characters26266
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

Unique2527 ?
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%
상회 25
 
0.4%
세븐일레븐 25
 
0.4%
Other values (3288) 5263
92.5%
2024-04-18T08:34:53.851961image/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%
589
 
2.2%
541
 
2.1%
388
 
1.5%
366
 
1.4%
Other values (541) 16978
64.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24477
93.2%
Space Separator 541
 
2.1%
Decimal Number 473
 
1.8%
Uppercase Letter 388
 
1.5%
Close Punctuation 161
 
0.6%
Open Punctuation 161
 
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%
589
 
2.4%
388
 
1.6%
366
 
1.5%
363
 
1.5%
Other values (485) 15367
62.8%
Uppercase Letter
ValueCountFrequency (%)
G 115
29.6%
S 82
21.1%
L 46
 
11.9%
C 33
 
8.5%
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
 
10.3%
Lowercase Letter
ValueCountFrequency (%)
i 8
21.1%
n 6
15.8%
g 4
10.5%
o 3
 
7.9%
s 3
 
7.9%
e 3
 
7.9%
c 2
 
5.3%
k 2
 
5.3%
l 1
 
2.6%
u 1
 
2.6%
Other values (5) 5
13.2%
Decimal Number
ValueCountFrequency (%)
2 206
43.6%
5 151
31.9%
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
 
1.1%
Other Punctuation
ValueCountFrequency (%)
. 7
63.6%
& 3
27.3%
, 1
 
9.1%
Space Separator
ValueCountFrequency (%)
541
100.0%
Close Punctuation
ValueCountFrequency (%)
) 161
100.0%
Open Punctuation
ValueCountFrequency (%)
( 161
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 24478
93.2%
Common 1362
 
5.2%
Latin 426
 
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%
589
 
2.4%
388
 
1.6%
366
 
1.5%
363
 
1.5%
Other values (486) 15368
62.8%
Latin
ValueCountFrequency (%)
G 115
27.0%
S 82
19.2%
L 46
 
10.8%
C 33
 
7.7%
A 16
 
3.8%
K 14
 
3.3%
P 12
 
2.8%
T 11
 
2.6%
M 10
 
2.3%
J 9
 
2.1%
Other values (27) 78
18.3%
Common
ValueCountFrequency (%)
541
39.7%
2 206
 
15.1%
) 161
 
11.8%
( 161
 
11.8%
5 151
 
11.1%
4 37
 
2.7%
1 28
 
2.1%
3 19
 
1.4%
- 12
 
0.9%
8 10
 
0.7%
Other values (8) 36
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24477
93.2%
ASCII 1788
 
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%
589
 
2.4%
388
 
1.6%
366
 
1.5%
363
 
1.5%
Other values (485) 15367
62.8%
ASCII
ValueCountFrequency (%)
541
30.3%
2 206
 
11.5%
) 161
 
9.0%
( 161
 
9.0%
5 151
 
8.4%
G 115
 
6.4%
S 82
 
4.6%
L 46
 
2.6%
4 37
 
2.1%
C 33
 
1.8%
Other values (45) 255
14.3%
None
ValueCountFrequency (%)
1
100.0%
Distinct1527
Distinct (%)29.7%
Missing0
Missing (%)0.0%
Memory size40.4 KiB
Minimum2007-07-07 09:58:56
Maximum2022-12-20 13:29:54
2024-04-18T08:34:53.990166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T08:34:54.121753image/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
5068 
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 5068
98.4%
U 82
 
1.6%

Length

2024-04-18T08:34:54.246831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T08:34:54.330379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 5068
98.4%
u 82
 
1.6%
Distinct98
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size40.4 KiB
Minimum2018-08-31 23:59:59
Maximum2022-12-22 00:40:33
2024-04-18T08:34:54.432153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T08:34:54.569343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5150
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%
Mean387938.4
Minimum370283.36
Maximum408017.31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size45.4 KiB
2024-04-18T08:34:54.703623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum370283.36
5-th percentile379680.87
Q1381712.3
median386980.72
Q3392552.08
95-th percentile401466.74
Maximum408017.31
Range37733.954
Interquartile range (IQR)10839.785

Descriptive statistics

Standard deviation6511.144
Coefficient of variation (CV)0.016783964
Kurtosis-0.13441178
Mean387938.4
Median Absolute Deviation (MAD)5466.9904
Skewness0.585271
Sum8.0923949 × 108
Variance42394996
MonotonicityNot monotonic
2024-04-18T08:34:54.835719image/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) 2042
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%
Mean185752.97
Minimum173895.66
Maximum210111.93
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size45.4 KiB
2024-04-18T08:34:54.987610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum173895.66
5-th percentile178632.54
Q1181481.67
median184659.16
Q3189056.78
95-th percentile196023.88
Maximum210111.93
Range36216.274
Interquartile range (IQR)7575.1107

Descriptive statistics

Standard deviation5792.7275
Coefficient of variation (CV)0.031185113
Kurtosis1.0953715
Mean185752.97
Median Absolute Deviation (MAD)3577.54
Skewness0.98886396
Sum3.874807 × 108
Variance33555692
MonotonicityNot monotonic
2024-04-18T08:34:55.126820image/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) 2042
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
2603 
<NA>
2175 
종료
372 

Length

Max length4
Median length2
Mean length2.8446602
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
지정 2603
50.5%
<NA> 2175
42.2%
종료 372
 
7.2%

Length

2024-04-18T08:34:55.264601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T08:34:55.383718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지정 2603
50.5%
na 2175
42.2%
종료 372
 
7.2%

소재지
Text

MISSING 

Distinct2113
Distinct (%)87.9%
Missing2746
Missing (%)53.3%
Memory size40.4 KiB
2024-04-18T08:34:55.650784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length36
Mean length11.28827
Min length2

Characters and Unicode

Total characters27137
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

Unique1996 ?
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 636
 
11.7%
중구 305
 
5.6%
사상구 296
 
5.4%
1호 80
 
1.5%
68
 
1.3%
영주동 56
 
1.0%
괘법동 51
 
0.9%
대라리 46
 
0.8%
2호 38
 
0.7%
감전동 35
 
0.6%
Other values (2246) 3827
70.4%
2024-04-18T08:34:56.089312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3335
 
12.3%
1 2452
 
9.0%
2 1472
 
5.4%
- 1420
 
5.2%
3 1110
 
4.1%
1059
 
3.9%
5 999
 
3.7%
4 944
 
3.5%
799
 
2.9%
785
 
2.9%
Other values (202) 12762
47.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11467
42.3%
Decimal Number 10704
39.4%
Space Separator 3335
 
12.3%
Dash Punctuation 1420
 
5.2%
Other Punctuation 111
 
0.4%
Open Punctuation 41
 
0.2%
Close 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 (%)
1059
 
9.2%
799
 
7.0%
785
 
6.8%
713
 
6.2%
682
 
5.9%
662
 
5.8%
659
 
5.7%
649
 
5.7%
640
 
5.6%
598
 
5.2%
Other values (179) 4221
36.8%
Decimal Number
ValueCountFrequency (%)
1 2452
22.9%
2 1472
13.8%
3 1110
10.4%
5 999
9.3%
4 944
 
8.8%
0 784
 
7.3%
6 773
 
7.2%
7 770
 
7.2%
8 712
 
6.7%
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 (%)
3335
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1420
100.0%
Open Punctuation
ValueCountFrequency (%)
( 41
100.0%
Close 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 15654
57.7%
Hangul 11467
42.3%
Latin 16
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1059
 
9.2%
799
 
7.0%
785
 
6.8%
713
 
6.2%
682
 
5.9%
662
 
5.8%
659
 
5.7%
649
 
5.7%
640
 
5.6%
598
 
5.2%
Other values (179) 4221
36.8%
Common
ValueCountFrequency (%)
3335
21.3%
1 2452
15.7%
2 1472
9.4%
- 1420
9.1%
3 1110
 
7.1%
5 999
 
6.4%
4 944
 
6.0%
0 784
 
5.0%
6 773
 
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 15670
57.7%
Hangul 11466
42.3%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3335
21.3%
1 2452
15.6%
2 1472
9.4%
- 1420
9.1%
3 1110
 
7.1%
5 999
 
6.4%
4 944
 
6.0%
0 784
 
5.0%
6 773
 
4.9%
7 770
 
4.9%
Other values (13) 1611
10.3%
Hangul
ValueCountFrequency (%)
1059
 
9.2%
799
 
7.0%
785
 
6.8%
713
 
6.2%
682
 
5.9%
662
 
5.8%
659
 
5.7%
649
 
5.7%
640
 
5.6%
598
 
5.2%
Other values (178) 4220
36.8%
Compat Jamo
ValueCountFrequency (%)
1
100.0%

지정일자
Real number (ℝ)

MISSING 

Distinct340
Distinct (%)49.6%
Missing4465
Missing (%)86.7%
Infinite0
Infinite (%)0.0%
Mean20052845
Minimum19950301
Maximum20221220
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size45.4 KiB
2024-04-18T08:34:56.848510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19950301
5-th percentile19950301
Q119950301
median20090602
Q320110421
95-th percentile20210696
Maximum20221220
Range270919
Interquartile range (IQR)160120

Descriptive statistics

Standard deviation92627.313
Coefficient of variation (CV)0.0046191606
Kurtosis-1.381415
Mean20052845
Median Absolute Deviation (MAD)99717
Skewness0.09935671
Sum1.3736199 × 1010
Variance8.5798192 × 109
MonotonicityNot monotonic
2024-04-18T08:34:56.985158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19950301 283
 
5.5%
20110308 4
 
0.1%
20090914 3
 
0.1%
20100316 3
 
0.1%
20110421 3
 
0.1%
20110504 3
 
0.1%
20100525 3
 
0.1%
20110523 3
 
0.1%
20090102 3
 
0.1%
20100930 2
 
< 0.1%
Other values (330) 375
 
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 (%)
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%
20220829 1
< 0.1%
20220824 1
< 0.1%

신청일자
Real number (ℝ)

MISSING  SKEWED 

Distinct709
Distinct (%)24.2%
Missing2225
Missing (%)43.2%
Infinite0
Infinite (%)0.0%
Mean19995673
Minimum1995010
Maximum50000504
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size45.4 KiB
2024-04-18T08:34:57.116925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1995010
5-th percentile19950101
Q119950301
median19960308
Q320010102
95-th percentile20111218
Maximum50000504
Range48005494
Interquartile range (IQR)59801

Descriptive statistics

Standard deviation650095.08
Coefficient of variation (CV)0.032511788
Kurtosis1753.5899
Mean19995673
Median Absolute Deviation (MAD)10207
Skewness26.383916
Sum5.8487342 × 1010
Variance4.2262361 × 1011
MonotonicityNot monotonic
2024-04-18T08:34:57.249427image/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 (699) 1040
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%
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%
20221014 1
< 0.1%
20220928 1
< 0.1%

항목값1
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size40.4 KiB
관급봉투
5150 

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 5150
100.0%

Length

2024-04-18T08:34:57.381831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T08:34:57.470991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
관급봉투 5150
100.0%

Unnamed: 33
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5150
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
51405141쓰레기종량제봉투판매업09_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>
51415142쓰레기종량제봉투판매업09_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>
51425143쓰레기종량제봉투판매업09_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>
51435144쓰레기종량제봉투판매업09_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>
51445145쓰레기종량제봉투판매업09_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>
51455146쓰레기종량제봉투판매업09_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>
51465147쓰레기종량제봉투판매업09_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>
51475148쓰레기종량제봉투판매업09_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>
51485149쓰레기종량제봉투판매업09_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>
51495150쓰레기종량제봉투판매업09_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>