Overview

Dataset statistics

Number of variables34
Number of observations7546
Missing cells103414
Missing cells (%)40.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.1 MiB
Average record size in memory293.0 B

Variable types

Numeric13
Categorical9
Unsupported6
Text5
DateTime1

Dataset

Description2021-04-01
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20230901050101123161

Alerts

개방서비스명 has constant value ""Constant
개방서비스id has constant value ""Constant
항목값1 has constant value ""Constant
영업상태구분코드 is highly imbalanced (75.9%)Imbalance
영업상태명 is highly imbalanced (75.9%)Imbalance
상세영업상태코드 is highly imbalanced (75.9%)Imbalance
상세영업상태명 is highly imbalanced (75.9%)Imbalance
데이터갱신구분 is highly imbalanced (93.3%)Imbalance
인허가일자 has 2420 (32.1%) missing valuesMissing
인허가취소일자 has 7546 (100.0%) missing valuesMissing
폐업일자 has 6991 (92.6%) missing valuesMissing
휴업시작일자 has 7030 (93.2%) missing valuesMissing
휴업종료일자 has 7546 (100.0%) missing valuesMissing
재개업일자 has 7546 (100.0%) missing valuesMissing
소재지전화 has 4947 (65.6%) missing valuesMissing
소재지면적 has 7546 (100.0%) missing valuesMissing
소재지우편번호 has 159 (2.1%) missing valuesMissing
도로명전체주소 has 5589 (74.1%) missing valuesMissing
도로명우편번호 has 7131 (94.5%) missing valuesMissing
업태구분명 has 7546 (100.0%) missing valuesMissing
좌표정보(x) has 4251 (56.3%) missing valuesMissing
좌표정보(y) has 4251 (56.3%) missing valuesMissing
소재지 has 4679 (62.0%) missing valuesMissing
지정일자 has 6894 (91.4%) missing valuesMissing
신청일자 has 3735 (49.5%) missing valuesMissing
Unnamed: 33 has 7546 (100.0%) missing valuesMissing
소재지우편번호 is highly skewed (γ1 = -36.74159009)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 23:30:57.185285
Analysis finished2024-04-17 23:30:58.297540
Duration1.11 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct7546
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3773.5
Minimum1
Maximum7546
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size66.5 KiB
2024-04-18T08:30:58.355688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile378.25
Q11887.25
median3773.5
Q35659.75
95-th percentile7168.75
Maximum7546
Range7545
Interquartile range (IQR)3772.5

Descriptive statistics

Standard deviation2178.4869
Coefficient of variation (CV)0.57731202
Kurtosis-1.2
Mean3773.5
Median Absolute Deviation (MAD)1886.5
Skewness0
Sum28474831
Variance4745805.2
MonotonicityStrictly increasing
2024-04-18T08:30:58.490540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
5028 1
 
< 0.1%
5040 1
 
< 0.1%
5039 1
 
< 0.1%
5038 1
 
< 0.1%
5037 1
 
< 0.1%
5036 1
 
< 0.1%
5035 1
 
< 0.1%
5034 1
 
< 0.1%
5033 1
 
< 0.1%
Other values (7536) 7536
99.9%
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 (%)
7546 1
< 0.1%
7545 1
< 0.1%
7544 1
< 0.1%
7543 1
< 0.1%
7542 1
< 0.1%
7541 1
< 0.1%
7540 1
< 0.1%
7539 1
< 0.1%
7538 1
< 0.1%
7537 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size59.1 KiB
쓰레기종량제봉투판매업
7546 

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 7546
100.0%

Length

2024-04-18T08:30:58.620899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T08:30:58.707998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
쓰레기종량제봉투판매업 7546
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size59.1 KiB
09_30_13_P
7546 

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 7546
100.0%

Length

2024-04-18T08:30:58.798506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T08:30:58.887763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
09_30_13_p 7546
100.0%

개방자치단체코드
Real number (ℝ)

Distinct14
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3324361.3
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size66.5 KiB
2024-04-18T08:30:58.967886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3250000
5-th percentile3270000
Q13290000
median3320000
Q33360000
95-th percentile3390000
Maximum3400000
Range150000
Interquartile range (IQR)70000

Descriptive statistics

Standard deviation43301.724
Coefficient of variation (CV)0.013025577
Kurtosis-1.1100522
Mean3324361.3
Median Absolute Deviation (MAD)30000
Skewness0.17108921
Sum2.508563 × 1010
Variance1.8750393 × 109
MonotonicityNot monotonic
2024-04-18T08:30:59.073171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
3290000 997
13.2%
3390000 782
10.4%
3270000 755
10.0%
3340000 692
9.2%
3330000 644
8.5%
3380000 564
7.5%
3310000 506
6.7%
3350000 500
6.6%
3280000 466
 
6.2%
3300000 397
 
5.3%
Other values (4) 1243
16.5%
ValueCountFrequency (%)
3250000 351
 
4.7%
3270000 755
10.0%
3280000 466
6.2%
3290000 997
13.2%
3300000 397
 
5.3%
3310000 506
6.7%
3320000 338
 
4.5%
3330000 644
8.5%
3340000 692
9.2%
3350000 500
6.6%
ValueCountFrequency (%)
3400000 269
 
3.6%
3390000 782
10.4%
3380000 564
7.5%
3360000 285
 
3.8%
3350000 500
6.6%
3340000 692
9.2%
3330000 644
8.5%
3320000 338
4.5%
3310000 506
6.7%
3300000 397
5.3%

관리번호
Real number (ℝ)

UNIQUE 

Distinct7546
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.3243614 × 1017
Minimum3.2500001 × 1017
Maximum3.4000001 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size66.5 KiB
2024-04-18T08:30:59.200246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.2500001 × 1017
5-th percentile3.2700001 × 1017
Q13.2900001 × 1017
median3.3200001 × 1017
Q33.3600001 × 1017
95-th percentile3.3900001 × 1017
Maximum3.4000001 × 1017
Range1.5 × 1016
Interquartile range (IQR)7 × 1015

Descriptive statistics

Standard deviation4.3301724 × 1015
Coefficient of variation (CV)0.013025576
Kurtosis-1.1100522
Mean3.3243614 × 1017
Median Absolute Deviation (MAD)3 × 1015
Skewness0.17108921
Sum-1.9408687 × 1017
Variance1.8750393 × 1031
MonotonicityNot monotonic
2024-04-18T08:30:59.350340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
325000014201800012 1
 
< 0.1%
336000014200300017 1
 
< 0.1%
334000014201100019 1
 
< 0.1%
336000014199400010 1
 
< 0.1%
336000014199400009 1
 
< 0.1%
336000014199400022 1
 
< 0.1%
336000014199400021 1
 
< 0.1%
336000014199400020 1
 
< 0.1%
336000014199400019 1
 
< 0.1%
336000014200300022 1
 
< 0.1%
Other values (7536) 7536
99.9%
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
Real number (ℝ)

MISSING 

Distinct1183
Distinct (%)23.1%
Missing2420
Missing (%)32.1%
Infinite0
Infinite (%)0.0%
Mean19234168
Minimum1994
Maximum20201221
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size66.5 KiB
2024-04-18T08:30:59.483085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1994
5-th percentile19941201
Q119950301
median19980914
Q320010102
95-th percentile20100312
Maximum20201221
Range20199227
Interquartile range (IQR)59801

Descriptive statistics

Standard deviation3796538.1
Coefficient of variation (CV)0.1973851
Kurtosis21.283469
Mean19234168
Median Absolute Deviation (MAD)30613.5
Skewness-4.8230014
Sum9.8594343 × 1010
Variance1.4413701 × 1013
MonotonicityNot monotonic
2024-04-18T08:30:59.620951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19950301 714
 
9.5%
19990331 437
 
5.8%
20010102 397
 
5.3%
20000103 347
 
4.6%
19950101 317
 
4.2%
19960308 156
 
2.1%
19960101 115
 
1.5%
19941220 113
 
1.5%
19950501 107
 
1.4%
19941221 60
 
0.8%
Other values (1173) 2363
31.3%
(Missing) 2420
32.1%
ValueCountFrequency (%)
1994 1
 
< 0.1%
1995 2
 
< 0.1%
1996 1
 
< 0.1%
1998 27
0.4%
1999 5
 
0.1%
2000 1
 
< 0.1%
19942 3
 
< 0.1%
199402 19
 
0.3%
199411 16
 
0.2%
199412 48
0.6%
ValueCountFrequency (%)
20201221 1
< 0.1%
20201201 1
< 0.1%
20201109 1
< 0.1%
20201019 1
< 0.1%
20201007 1
< 0.1%
20200910 1
< 0.1%
20200331 1
< 0.1%
20200226 1
< 0.1%
20200221 2
< 0.1%
20200103 1
< 0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing7546
Missing (%)100.0%
Memory size66.5 KiB

영업상태구분코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size59.1 KiB
1
6989 
3
 
556
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 6989
92.6%
3 556
 
7.4%
2 1
 
< 0.1%

Length

2024-04-18T08:30:59.762187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T08:30:59.857535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 6989
92.6%
3 556
 
7.4%
2 1
 
< 0.1%

영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size59.1 KiB
영업/정상
6989 
폐업
 
556
휴업
 
1

Length

Max length5
Median length5
Mean length4.7785582
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 6989
92.6%
폐업 556
 
7.4%
휴업 1
 
< 0.1%

Length

2024-04-18T08:30:59.962851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T08:31:00.059799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 6989
92.6%
폐업 556
 
7.4%
휴업 1
 
< 0.1%

상세영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size59.1 KiB
11
6989 
2
 
556
1
 
1

Length

Max length2
Median length2
Mean length1.9261861
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
11 6989
92.6%
2 556
 
7.4%
1 1
 
< 0.1%

Length

2024-04-18T08:31:00.170503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T08:31:00.261670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11 6989
92.6%
2 556
 
7.4%
1 1
 
< 0.1%

상세영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size59.1 KiB
영업
6989 
폐업
 
556
휴업
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
영업 6989
92.6%
폐업 556
 
7.4%
휴업 1
 
< 0.1%

Length

2024-04-18T08:31:00.355981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T08:31:00.443803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 6989
92.6%
폐업 556
 
7.4%
휴업 1
 
< 0.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct59
Distinct (%)10.6%
Missing6991
Missing (%)92.6%
Infinite0
Infinite (%)0.0%
Mean20075010
Minimum20001011
Maximum20201231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size66.5 KiB
2024-04-18T08:31:00.553510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20001011
5-th percentile20041028
Q120070708
median20070708
Q320090112
95-th percentile20100111
Maximum20201231
Range200220
Interquartile range (IQR)19404

Descriptive statistics

Standard deviation23368.947
Coefficient of variation (CV)0.0011640815
Kurtosis9.0565812
Mean20075010
Median Absolute Deviation (MAD)0
Skewness1.2743509
Sum1.1141631 × 1010
Variance5.4610768 × 108
MonotonicityNot monotonic
2024-04-18T08:31:00.692240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20070708 314
 
4.2%
20100111 69
 
0.9%
20090112 49
 
0.6%
20060510 48
 
0.6%
20010530 7
 
0.1%
20060110 6
 
0.1%
20071023 3
 
< 0.1%
20010622 2
 
< 0.1%
20140120 2
 
< 0.1%
20041020 2
 
< 0.1%
Other values (49) 53
 
0.7%
(Missing) 6991
92.6%
ValueCountFrequency (%)
20001011 1
 
< 0.1%
20010117 1
 
< 0.1%
20010314 1
 
< 0.1%
20010317 1
 
< 0.1%
20010530 7
0.1%
20010622 2
 
< 0.1%
20010910 1
 
< 0.1%
20011023 1
 
< 0.1%
20011221 2
 
< 0.1%
20020227 1
 
< 0.1%
ValueCountFrequency (%)
20201231 1
< 0.1%
20200908 2
< 0.1%
20200417 1
< 0.1%
20191111 1
< 0.1%
20190731 1
< 0.1%
20170327 1
< 0.1%
20160803 1
< 0.1%
20140211 1
< 0.1%
20140120 2
< 0.1%
20131022 1
< 0.1%

휴업시작일자
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)6.0%
Missing7030
Missing (%)93.2%
Infinite0
Infinite (%)0.0%
Mean20077253
Minimum20000101
Maximum20191111
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size66.5 KiB
2024-04-18T08:31:01.408156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20000101
5-th percentile20060510
Q120070708
median20070708
Q320090112
95-th percentile20100111
Maximum20191111
Range191010
Interquartile range (IQR)19404

Descriptive statistics

Standard deviation16397.595
Coefficient of variation (CV)0.00081672499
Kurtosis12.11096
Mean20077253
Median Absolute Deviation (MAD)0
Skewness2.3105488
Sum1.0359863 × 1010
Variance2.6888111 × 108
MonotonicityNot monotonic
2024-04-18T08:31:01.526215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
20070708 314
 
4.2%
20100111 69
 
0.9%
20060510 49
 
0.6%
20090112 49
 
0.6%
20060110 6
 
0.1%
20071023 3
 
< 0.1%
20071102 2
 
< 0.1%
20090323 1
 
< 0.1%
20131022 1
 
< 0.1%
20090121 1
 
< 0.1%
Other values (21) 21
 
0.3%
(Missing) 7030
93.2%
ValueCountFrequency (%)
20000101 1
 
< 0.1%
20060110 6
 
0.1%
20060510 49
 
0.6%
20070708 314
4.2%
20070810 1
 
< 0.1%
20071023 3
 
< 0.1%
20071102 2
 
< 0.1%
20081218 1
 
< 0.1%
20081221 1
 
< 0.1%
20090112 49
 
0.6%
ValueCountFrequency (%)
20191111 1
< 0.1%
20190809 1
< 0.1%
20170327 1
< 0.1%
20160807 1
< 0.1%
20140211 1
< 0.1%
20131022 1
< 0.1%
20121204 1
< 0.1%
20121030 1
< 0.1%
20120419 1
< 0.1%
20110503 1
< 0.1%

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing7546
Missing (%)100.0%
Memory size66.5 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing7546
Missing (%)100.0%
Memory size66.5 KiB

소재지전화
Text

MISSING 

Distinct2487
Distinct (%)95.7%
Missing4947
Missing (%)65.6%
Memory size59.1 KiB
2024-04-18T08:31:01.712767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length11.071951
Min length3

Characters and Unicode

Total characters28776
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

Unique2398 ?
Unique (%)92.3%

Sample

1st row051-248-8106
2nd row0514667980
3rd row0512546667
4th row0512469329
5th row0512455251
ValueCountFrequency (%)
051 1937
33.3%
416 86
 
1.5%
417 57
 
1.0%
332 55
 
0.9%
518 50
 
0.9%
581 47
 
0.8%
412 46
 
0.8%
418 44
 
0.8%
405 43
 
0.7%
413 42
 
0.7%
Other values (2483) 3413
58.6%
2024-04-18T08:31:02.009482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 4644
16.1%
5 4395
15.3%
0 3844
13.4%
3227
11.2%
3 2483
8.6%
4 2193
7.6%
2 2116
7.4%
6 1712
 
5.9%
7 1549
 
5.4%
8 1503
 
5.2%
Other values (2) 1110
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 25472
88.5%
Space Separator 3227
 
11.2%
Dash Punctuation 77
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 4644
18.2%
5 4395
17.3%
0 3844
15.1%
3 2483
9.7%
4 2193
8.6%
2 2116
8.3%
6 1712
 
6.7%
7 1549
 
6.1%
8 1503
 
5.9%
9 1033
 
4.1%
Space Separator
ValueCountFrequency (%)
3227
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 77
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 28776
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 4644
16.1%
5 4395
15.3%
0 3844
13.4%
3227
11.2%
3 2483
8.6%
4 2193
7.6%
2 2116
7.4%
6 1712
 
5.9%
7 1549
 
5.4%
8 1503
 
5.2%
Other values (2) 1110
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 28776
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 4644
16.1%
5 4395
15.3%
0 3844
13.4%
3227
11.2%
3 2483
8.6%
4 2193
7.6%
2 2116
7.4%
6 1712
 
5.9%
7 1549
 
5.4%
8 1503
 
5.2%
Other values (2) 1110
 
3.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing7546
Missing (%)100.0%
Memory size66.5 KiB

소재지우편번호
Real number (ℝ)

MISSING  SKEWED 

Distinct485
Distinct (%)6.6%
Missing159
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean610127.41
Minimum1
Maximum619963
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size66.5 KiB
2024-04-18T08:31:02.145846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile601013
Q1606052
median612021
Q3614111
95-th percentile618350
Maximum619963
Range619962
Interquartile range (IQR)8059

Descriptive statistics

Standard deviation13593.167
Coefficient of variation (CV)0.022279226
Kurtosis1646.7441
Mean610127.41
Median Absolute Deviation (MAD)4919
Skewness-36.74159
Sum4.5070112 × 109
Variance1.8477418 × 108
MonotonicityNot monotonic
2024-04-18T08:31:02.277442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
604080 139
 
1.8%
612021 95
 
1.3%
612030 84
 
1.1%
614080 82
 
1.1%
614113 73
 
1.0%
614052 71
 
0.9%
601062 70
 
0.9%
614093 64
 
0.8%
614112 64
 
0.8%
601012 63
 
0.8%
Other values (475) 6582
87.2%
(Missing) 159
 
2.1%
ValueCountFrequency (%)
1 1
 
< 0.1%
6 1
 
< 0.1%
60 1
 
< 0.1%
600012 8
0.1%
600013 4
 
0.1%
600014 16
0.2%
600016 4
 
0.1%
600021 1
 
< 0.1%
600022 3
 
< 0.1%
600023 3
 
< 0.1%
ValueCountFrequency (%)
619963 6
 
0.1%
619962 4
 
0.1%
619961 9
 
0.1%
619953 9
 
0.1%
619952 8
 
0.1%
619951 23
0.3%
619913 20
0.3%
619912 29
0.4%
619911 19
0.3%
619906 18
0.2%

소재지전체주소
Text

Distinct6473
Distinct (%)86.5%
Missing61
Missing (%)0.8%
Memory size59.1 KiB
2024-04-18T08:31:02.600983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length46
Mean length24.209218
Min length14

Characters and Unicode

Total characters181206
Distinct characters278
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

Unique5752 ?
Unique (%)76.8%

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 7485
 
20.0%
번지 2647
 
7.1%
반 1167
 
3.1%
부산진구 998
 
2.7%
사상구 783
 
2.1%
동구 755
 
2.0%
사하구 691
 
1.9%
해운대구 647
 
1.7%
수영구 563
 
1.5%
남구 504
 
1.3%
Other values (6401) 21094
56.5%
2024-04-18T08:31:03.079440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
35064
19.4%
부 8850
 
4.9%
동 8661
 
4.8%
산 8632
 
4.8%
1 8293
 
4.6%
광 7820
 
4.3%
시 7501
 
4.1%
역 7487
 
4.1%
지 7486
 
4.1%
구 7466
 
4.1%
Other values (268) 73946
40.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 102441
56.5%
Decimal Number 37267
 
20.6%
Space Separator 35064
 
19.4%
Dash Punctuation 6300
 
3.5%
Uppercase Letter 70
 
< 0.1%
Other Punctuation 53
 
< 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 (%)
부 8850
 
8.6%
동 8661
 
8.5%
산 8632
 
8.4%
광 7820
 
7.6%
시 7501
 
7.3%
역 7487
 
7.3%
지 7486
 
7.3%
구 7466
 
7.3%
번 7368
 
7.2%
반 1652
 
1.6%
Other values (230) 29518
28.8%
Uppercase Letter
ValueCountFrequency (%)
A 36
51.4%
B 18
25.7%
T 2
 
2.9%
O 2
 
2.9%
D 2
 
2.9%
C 1
 
1.4%
I 1
 
1.4%
P 1
 
1.4%
F 1
 
1.4%
W 1
 
1.4%
Other values (5) 5
 
7.1%
Decimal Number
ValueCountFrequency (%)
1 8293
22.3%
2 4986
13.4%
3 4136
11.1%
4 3644
9.8%
5 3465
9.3%
6 2741
 
7.4%
7 2624
 
7.0%
0 2552
 
6.8%
8 2542
 
6.8%
9 2284
 
6.1%
Other Punctuation
ValueCountFrequency (%)
, 20
37.7%
/ 20
37.7%
@ 12
22.6%
' 1
 
1.9%
Lowercase Letter
ValueCountFrequency (%)
a 2
40.0%
e 1
20.0%
r 1
20.0%
k 1
20.0%
Space Separator
ValueCountFrequency (%)
35064
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6300
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 102441
56.5%
Common 78690
43.4%
Latin 75
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 8850
 
8.6%
동 8661
 
8.5%
산 8632
 
8.4%
광 7820
 
7.6%
시 7501
 
7.3%
역 7487
 
7.3%
지 7486
 
7.3%
구 7466
 
7.3%
번 7368
 
7.2%
반 1652
 
1.6%
Other values (230) 29518
28.8%
Common
ValueCountFrequency (%)
35064
44.6%
1 8293
 
10.5%
- 6300
 
8.0%
2 4986
 
6.3%
3 4136
 
5.3%
4 3644
 
4.6%
5 3465
 
4.4%
6 2741
 
3.5%
7 2624
 
3.3%
0 2552
 
3.2%
Other values (9) 4885
 
6.2%
Latin
ValueCountFrequency (%)
A 36
48.0%
B 18
24.0%
T 2
 
2.7%
O 2
 
2.7%
a 2
 
2.7%
D 2
 
2.7%
e 1
 
1.3%
C 1
 
1.3%
I 1
 
1.3%
P 1
 
1.3%
Other values (9) 9
 
12.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 102441
56.5%
ASCII 78765
43.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
35064
44.5%
1 8293
 
10.5%
- 6300
 
8.0%
2 4986
 
6.3%
3 4136
 
5.3%
4 3644
 
4.6%
5 3465
 
4.4%
6 2741
 
3.5%
7 2624
 
3.3%
0 2552
 
3.2%
Other values (28) 4960
 
6.3%
Hangul
ValueCountFrequency (%)
부 8850
 
8.6%
동 8661
 
8.5%
산 8632
 
8.4%
광 7820
 
7.6%
시 7501
 
7.3%
역 7487
 
7.3%
지 7486
 
7.3%
구 7466
 
7.3%
번 7368
 
7.2%
반 1652
 
1.6%
Other values (230) 29518
28.8%

도로명전체주소
Text

MISSING 

Distinct1738
Distinct (%)88.8%
Missing5589
Missing (%)74.1%
Memory size59.1 KiB
2024-04-18T08:31:03.415640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length49
Mean length26.805825
Min length19

Characters and Unicode

Total characters52459
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

Unique1583 ?
Unique (%)80.9%

Sample

1st row부산광역시 중구 대청로 121-1, 108호 (대청동1가, 코모도에스테이트)
2nd row부산광역시 중구 자갈치로 33, 신천지 (남포동6가)
3rd row부산광역시 중구 동영로64번길 21 (영주동, 문화빌리지)
4th row부산광역시 중구 대영로242번안길 7 (영주동)
5th row부산광역시 중구 광복로43번길 11 (신창동2가)
ValueCountFrequency (%)
부산광역시 1957
 
19.6%
사상구 469
 
4.7%
남구 424
 
4.2%
사하구 200
 
2.0%
중구 197
 
2.0%
대연동 160
 
1.6%
해운대구 136
 
1.4%
기장군 136
 
1.4%
부산진구 120
 
1.2%
문현동 106
 
1.1%
Other values (1769) 6076
60.9%
2024-04-18T08:31:03.891254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9464
 
18.0%
동 2286
 
4.4%
부 2147
 
4.1%
광 2119
 
4.0%
산 2119
 
4.0%
시 1986
 
3.8%
역 1957
 
3.7%
구 1879
 
3.6%
로 1832
 
3.5%
( 1832
 
3.5%
Other values (275) 24838
47.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 31020
59.1%
Space Separator 9464
 
18.0%
Decimal Number 7737
 
14.7%
Open Punctuation 1832
 
3.5%
Close Punctuation 1832
 
3.5%
Dash Punctuation 326
 
0.6%
Other Punctuation 226
 
0.4%
Uppercase Letter 18
 
< 0.1%
Math Symbol 3
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 2286
 
7.4%
부 2147
 
6.9%
광 2119
 
6.8%
산 2119
 
6.8%
시 1986
 
6.4%
역 1957
 
6.3%
구 1879
 
6.1%
로 1832
 
5.9%
길 1101
 
3.5%
번 1012
 
3.3%
Other values (251) 12582
40.6%
Decimal Number
ValueCountFrequency (%)
1 1724
22.3%
2 1058
13.7%
3 922
11.9%
4 774
10.0%
6 591
 
7.6%
5 587
 
7.6%
0 577
 
7.5%
7 543
 
7.0%
9 513
 
6.6%
8 448
 
5.8%
Uppercase Letter
ValueCountFrequency (%)
B 10
55.6%
A 4
 
22.2%
W 1
 
5.6%
E 1
 
5.6%
C 1
 
5.6%
D 1
 
5.6%
Other Punctuation
ValueCountFrequency (%)
, 217
96.0%
@ 9
 
4.0%
Space Separator
ValueCountFrequency (%)
9464
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1832
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1832
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 326
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Lowercase Letter
ValueCountFrequency (%)
a 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 31020
59.1%
Common 21420
40.8%
Latin 19
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 2286
 
7.4%
부 2147
 
6.9%
광 2119
 
6.8%
산 2119
 
6.8%
시 1986
 
6.4%
역 1957
 
6.3%
구 1879
 
6.1%
로 1832
 
5.9%
길 1101
 
3.5%
번 1012
 
3.3%
Other values (251) 12582
40.6%
Common
ValueCountFrequency (%)
9464
44.2%
( 1832
 
8.6%
) 1832
 
8.6%
1 1724
 
8.0%
2 1058
 
4.9%
3 922
 
4.3%
4 774
 
3.6%
6 591
 
2.8%
5 587
 
2.7%
0 577
 
2.7%
Other values (7) 2059
 
9.6%
Latin
ValueCountFrequency (%)
B 10
52.6%
A 4
 
21.1%
W 1
 
5.3%
E 1
 
5.3%
C 1
 
5.3%
D 1
 
5.3%
a 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 31020
59.1%
ASCII 21439
40.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9464
44.1%
( 1832
 
8.5%
) 1832
 
8.5%
1 1724
 
8.0%
2 1058
 
4.9%
3 922
 
4.3%
4 774
 
3.6%
6 591
 
2.8%
5 587
 
2.7%
0 577
 
2.7%
Other values (14) 2078
 
9.7%
Hangul
ValueCountFrequency (%)
동 2286
 
7.4%
부 2147
 
6.9%
광 2119
 
6.8%
산 2119
 
6.8%
시 1986
 
6.4%
역 1957
 
6.3%
구 1879
 
6.1%
로 1832
 
5.9%
길 1101
 
3.5%
번 1012
 
3.3%
Other values (251) 12582
40.6%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct160
Distinct (%)38.6%
Missing7131
Missing (%)94.5%
Infinite0
Infinite (%)0.0%
Mean501914.15
Minimum46080
Maximum619963
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size66.5 KiB
2024-04-18T08:31:04.049871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46080
5-th percentile48931.7
Q1600110
median617807
Q3617834.5
95-th percentile619907.8
Maximum619963
Range573883
Interquartile range (IQR)17724.5

Descriptive statistics

Standard deviation226873.5
Coefficient of variation (CV)0.45201653
Kurtosis0.26398474
Mean501914.15
Median Absolute Deviation (MAD)84
Skewness-1.5028101
Sum2.0829437 × 108
Variance5.1471583 × 1010
MonotonicityNot monotonic
2024-04-18T08:31:04.180930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
619903 19
 
0.3%
617818 11
 
0.1%
617833 10
 
0.1%
617800 10
 
0.1%
617802 10
 
0.1%
600110 9
 
0.1%
617841 9
 
0.1%
617807 8
 
0.1%
617836 8
 
0.1%
619913 7
 
0.1%
Other values (150) 314
 
4.2%
(Missing) 7131
94.5%
ValueCountFrequency (%)
46080 1
 
< 0.1%
46950 1
 
< 0.1%
47029 1
 
< 0.1%
48904 1
 
< 0.1%
48909 2
< 0.1%
48914 1
 
< 0.1%
48915 2
< 0.1%
48917 3
< 0.1%
48920 1
 
< 0.1%
48922 3
< 0.1%
ValueCountFrequency (%)
619963 1
 
< 0.1%
619961 2
 
< 0.1%
619953 3
< 0.1%
619952 1
 
< 0.1%
619951 2
 
< 0.1%
619913 7
0.1%
619912 5
0.1%
619906 4
0.1%
619905 6
0.1%
619904 1
 
< 0.1%

사업장명
Text

Distinct4383
Distinct (%)58.1%
Missing0
Missing (%)0.0%
Memory size59.1 KiB
2024-04-18T08:31:04.467461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length4
Mean length4.9181023
Min length1

Characters and Unicode

Total characters37112
Distinct characters604
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

Unique3323 ?
Unique (%)44.0%

Sample

1st row세븐일레븐 부산코모도점
2nd row자갈치 탑마트
3rd rowGS25 부산터널점
4th row봉래슈퍼마켓
5th row경북상회
ValueCountFrequency (%)
슈퍼 173
 
2.1%
럭키슈퍼 64
 
0.8%
훼미리마트 53
 
0.6%
구멍가게 46
 
0.6%
서원유통 45
 
0.5%
상회 42
 
0.5%
경북상회 42
 
0.5%
미화당슈퍼 42
 
0.5%
담배가게 40
 
0.5%
현대슈퍼 37
 
0.5%
Other values (4414) 7634
92.9%
2024-04-18T08:31:04.876978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
퍼 3183
 
8.6%
슈 2691
 
7.3%
상 1475
 
4.0%
회 1413
 
3.8%
마 1149
 
3.1%
트 988
 
2.7%
674
 
1.8%
점 671
 
1.8%
수 628
 
1.7%
대 588
 
1.6%
Other values (594) 23652
63.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 34943
94.2%
Space Separator 674
 
1.8%
Decimal Number 560
 
1.5%
Uppercase Letter 501
 
1.3%
Close Punctuation 174
 
0.5%
Open Punctuation 174
 
0.5%
Lowercase Letter 52
 
0.1%
Other Punctuation 17
 
< 0.1%
Dash Punctuation 12
 
< 0.1%
Modifier Symbol 2
 
< 0.1%
Other values (2) 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
퍼 3183
 
9.1%
슈 2691
 
7.7%
상 1475
 
4.2%
회 1413
 
4.0%
마 1149
 
3.3%
트 988
 
2.8%
점 671
 
1.9%
수 628
 
1.8%
대 588
 
1.7%
동 529
 
1.5%
Other values (534) 21628
61.9%
Uppercase Letter
ValueCountFrequency (%)
G 138
27.5%
S 83
16.6%
L 77
15.4%
C 36
 
7.2%
A 26
 
5.2%
P 21
 
4.2%
K 19
 
3.8%
T 16
 
3.2%
M 13
 
2.6%
O 10
 
2.0%
Other values (13) 62
12.4%
Lowercase Letter
ValueCountFrequency (%)
i 8
15.4%
n 7
13.5%
s 5
9.6%
o 5
9.6%
g 5
9.6%
e 4
7.7%
u 3
 
5.8%
k 3
 
5.8%
c 2
 
3.8%
p 2
 
3.8%
Other values (7) 8
15.4%
Decimal Number
ValueCountFrequency (%)
2 237
42.3%
5 166
29.6%
1 47
 
8.4%
4 40
 
7.1%
3 23
 
4.1%
8 18
 
3.2%
0 11
 
2.0%
6 8
 
1.4%
7 8
 
1.4%
9 2
 
0.4%
Other Punctuation
ValueCountFrequency (%)
. 12
70.6%
& 4
 
23.5%
, 1
 
5.9%
Space Separator
ValueCountFrequency (%)
674
100.0%
Close Punctuation
ValueCountFrequency (%)
) 174
100.0%
Open Punctuation
ValueCountFrequency (%)
( 174
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 2
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 34945
94.2%
Common 1614
 
4.3%
Latin 553
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
퍼 3183
 
9.1%
슈 2691
 
7.7%
상 1475
 
4.2%
회 1413
 
4.0%
마 1149
 
3.3%
트 988
 
2.8%
점 671
 
1.9%
수 628
 
1.8%
대 588
 
1.7%
동 529
 
1.5%
Other values (535) 21630
61.9%
Latin
ValueCountFrequency (%)
G 138
25.0%
S 83
15.0%
L 77
13.9%
C 36
 
6.5%
A 26
 
4.7%
P 21
 
3.8%
K 19
 
3.4%
T 16
 
2.9%
M 13
 
2.4%
O 10
 
1.8%
Other values (30) 114
20.6%
Common
ValueCountFrequency (%)
674
41.8%
2 237
 
14.7%
) 174
 
10.8%
( 174
 
10.8%
5 166
 
10.3%
1 47
 
2.9%
4 40
 
2.5%
3 23
 
1.4%
8 18
 
1.1%
- 12
 
0.7%
Other values (9) 49
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 34943
94.2%
ASCII 2167
 
5.8%
None 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
퍼 3183
 
9.1%
슈 2691
 
7.7%
상 1475
 
4.2%
회 1413
 
4.0%
마 1149
 
3.3%
트 988
 
2.8%
점 671
 
1.9%
수 628
 
1.8%
대 588
 
1.7%
동 529
 
1.5%
Other values (534) 21628
61.9%
ASCII
ValueCountFrequency (%)
674
31.1%
2 237
 
10.9%
) 174
 
8.0%
( 174
 
8.0%
5 166
 
7.7%
G 138
 
6.4%
S 83
 
3.8%
L 77
 
3.6%
1 47
 
2.2%
4 40
 
1.8%
Other values (49) 357
16.5%
None
ValueCountFrequency (%)
㈜ 2
100.0%

최종수정시점
Real number (ℝ)

Distinct1501
Distinct (%)19.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0080149 × 1013
Minimum2.0070707 × 1013
Maximum2.0210202 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size66.5 KiB
2024-04-18T08:31:05.007051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0070707 × 1013
5-th percentile2.0070707 × 1013
Q12.0070714 × 1013
median2.0070721 × 1013
Q32.0070721 × 1013
95-th percentile2.0140113 × 1013
Maximum2.0210202 × 1013
Range1.3949503 × 1011
Interquartile range (IQR)7006207

Descriptive statistics

Standard deviation2.3671632 × 1010
Coefficient of variation (CV)0.0011788573
Kurtosis8.6517992
Mean2.0080149 × 1013
Median Absolute Deviation (MAD)6996766
Skewness2.9199907
Sum1.5152481 × 1017
Variance5.6034614 × 1020
MonotonicityNot monotonic
2024-04-18T08:31:05.139418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20070714105436 997
13.2%
20070721103731 752
 
10.0%
20070707101830 644
 
8.5%
20070721105746 532
 
7.1%
20070707101515 529
 
7.0%
20070721110516 505
 
6.7%
20070721102202 499
 
6.6%
20070721100711 452
 
6.0%
20070714104309 397
 
5.3%
20070714113334 338
 
4.5%
Other values (1491) 1901
25.2%
ValueCountFrequency (%)
20070707095856 19
 
0.3%
20070707100050 108
 
1.4%
20070707101515 529
7.0%
20070707101824 285
 
3.8%
20070707101830 644
8.5%
20070714104309 397
 
5.3%
20070714105436 997
13.2%
20070714112331 1
 
< 0.1%
20070714113334 338
 
4.5%
20070721100711 452
6.0%
ValueCountFrequency (%)
20210202123317 1
< 0.1%
20210202123248 1
< 0.1%
20210202122950 1
< 0.1%
20210202122925 1
< 0.1%
20210202122824 1
< 0.1%
20210202122806 1
< 0.1%
20210202122745 1
< 0.1%
20210202122722 1
< 0.1%
20210202122652 1
< 0.1%
20210202122419 1
< 0.1%

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size59.1 KiB
I
7486 
U
 
60

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 7486
99.2%
U 60
 
0.8%

Length

2024-04-18T08:31:05.262773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T08:31:05.359630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 7486
99.2%
u 60
 
0.8%

데이터갱신일자
Date

Distinct51
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size59.1 KiB
Minimum2018-08-31 23:59:59
Maximum2021-02-04 02:40:00
2024-04-18T08:31:05.465186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T08:31:05.593890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing7546
Missing (%)100.0%
Memory size66.5 KiB

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct2903
Distinct (%)88.1%
Missing4251
Missing (%)56.3%
Infinite0
Infinite (%)0.0%
Mean388271.44
Minimum367885.4
Maximum408017.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size66.5 KiB
2024-04-18T08:31:05.748318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum367885.4
5-th percentile379661.93
Q1382949.31
median388671.61
Q3392403.22
95-th percentile399039.51
Maximum408017.33
Range40131.923
Interquartile range (IQR)9453.9127

Descriptive statistics

Standard deviation6350.2013
Coefficient of variation (CV)0.016355057
Kurtosis-0.33035324
Mean388271.44
Median Absolute Deviation (MAD)4868.5845
Skewness0.36794172
Sum1.2793544 × 109
Variance40325057
MonotonicityNot monotonic
2024-04-18T08:31:05.896671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
385570.015221682 10
 
0.1%
373499.123572408 8
 
0.1%
385575.10426651 8
 
0.1%
383668.717004282 6
 
0.1%
386387.726483 6
 
0.1%
385859.761546771 5
 
0.1%
397883.492891877 5
 
0.1%
378889.264694876 5
 
0.1%
385558.912351386 5
 
0.1%
385951.968556075 5
 
0.1%
Other values (2893) 3232
42.8%
(Missing) 4251
56.3%
ValueCountFrequency (%)
367885.403384 1
 
< 0.1%
370283.356710493 2
 
< 0.1%
371679.915905131 1
 
< 0.1%
373348.88314374 1
 
< 0.1%
373499.123572408 8
0.1%
373686.060698 2
 
< 0.1%
373841.503453644 1
 
< 0.1%
374195.717352 2
 
< 0.1%
375014.768045 2
 
< 0.1%
375585.431568056 1
 
< 0.1%
ValueCountFrequency (%)
408017.325902862 1
< 0.1%
408001.818295132 1
< 0.1%
407556.852843459 1
< 0.1%
407183.563664162 1
< 0.1%
407121.882187494 1
< 0.1%
406941.415160418 1
< 0.1%
405695.510591276 1
< 0.1%
405674.323359128 1
< 0.1%
405671.967099673 1
< 0.1%
405636.813711204 1
< 0.1%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct2903
Distinct (%)88.1%
Missing4251
Missing (%)56.3%
Infinite0
Infinite (%)0.0%
Mean187541.23
Minimum173895.66
Maximum210111.94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size66.5 KiB
2024-04-18T08:31:06.028177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum173895.66
5-th percentile178815.45
Q1182894.37
median187182.87
Q3192142.53
95-th percentile197583.25
Maximum210111.94
Range36216.281
Interquartile range (IQR)9248.1586

Descriptive statistics

Standard deviation5993.1983
Coefficient of variation (CV)0.031956697
Kurtosis-0.28906785
Mean187541.23
Median Absolute Deviation (MAD)4615.1287
Skewness0.3163427
Sum6.1794836 × 108
Variance35918425
MonotonicityNot monotonic
2024-04-18T08:31:06.174407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
187424.7082035 10
 
0.1%
181704.648037251 8
 
0.1%
185788.555761076 8
 
0.1%
184985.337174944 6
 
0.1%
186972.811496 6
 
0.1%
187221.272003652 5
 
0.1%
188758.768659579 5
 
0.1%
174422.480246459 5
 
0.1%
182474.551700716 5
 
0.1%
185914.1031603 5
 
0.1%
Other values (2893) 3232
42.8%
(Missing) 4251
56.3%
ValueCountFrequency (%)
173895.655729558 1
 
< 0.1%
174035.700224564 2
 
< 0.1%
174087.295724335 1
 
< 0.1%
174140.916066183 3
< 0.1%
174406.140455233 1
 
< 0.1%
174422.480246459 5
0.1%
174491.469961028 2
 
< 0.1%
174581.422989481 1
 
< 0.1%
174641.982653379 1
 
< 0.1%
174681.114803769 1
 
< 0.1%
ValueCountFrequency (%)
210111.936748537 1
< 0.1%
210070.749554722 1
< 0.1%
208043.725463582 1
< 0.1%
205746.62293734 1
< 0.1%
205731.415882239 1
< 0.1%
205657.797908207 1
< 0.1%
205511.048872256 1
< 0.1%
205498.397639515 1
< 0.1%
205453.457578129 1
< 0.1%
205450.346539815 1
< 0.1%

업소구분명
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size59.1 KiB
지정
3833 
<NA>
3342 
종료
 
371

Length

Max length4
Median length2
Mean length2.8857673
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
지정 3833
50.8%
<NA> 3342
44.3%
종료 371
 
4.9%

Length

2024-04-18T08:31:06.304628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T08:31:06.403296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지정 3833
50.8%
na 3342
44.3%
종료 371
 
4.9%

소재지
Text

MISSING 

Distinct2551
Distinct (%)89.0%
Missing4679
Missing (%)62.0%
Memory size59.1 KiB
2024-04-18T08:31:06.722243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length36
Mean length12.51029
Min length2

Characters and Unicode

Total characters35867
Distinct characters219
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

Unique2411 ?
Unique (%)84.1%

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 941
 
13.1%
북구 338
 
4.7%
사상구 296
 
4.1%
중구 278
 
3.9%
구포동 140
 
1.9%
호 118
 
1.6%
1호 80
 
1.1%
만덕동 71
 
1.0%
덕천동 64
 
0.9%
영주동 54
 
0.7%
Other values (2717) 4830
67.0%
2024-04-18T08:31:07.213302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5135
 
14.3%
1 2979
 
8.3%
2 1837
 
5.1%
- 1773
 
4.9%
동 1398
 
3.9%
3 1358
 
3.8%
지 1211
 
3.4%
번 1198
 
3.3%
5 1183
 
3.3%
4 1169
 
3.3%
Other values (209) 16626
46.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15602
43.5%
Decimal Number 13088
36.5%
Space Separator 5135
 
14.3%
Dash Punctuation 1773
 
4.9%
Other Punctuation 156
 
0.4%
Open Punctuation 46
 
0.1%
Close Punctuation 46
 
0.1%
Uppercase Letter 18
 
0.1%
Modifier Symbol 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1398
 
9.0%
지 1211
 
7.8%
번 1198
 
7.7%
구 1113
 
7.1%
부 1023
 
6.6%
광 986
 
6.3%
산 976
 
6.3%
시 952
 
6.1%
역 944
 
6.1%
호 657
 
4.2%
Other values (185) 5144
33.0%
Decimal Number
ValueCountFrequency (%)
1 2979
22.8%
2 1837
14.0%
3 1358
10.4%
5 1183
 
9.0%
4 1169
 
8.9%
0 945
 
7.2%
7 936
 
7.2%
6 931
 
7.1%
8 906
 
6.9%
9 844
 
6.4%
Uppercase Letter
ValueCountFrequency (%)
B 10
55.6%
A 6
33.3%
D 1
 
5.6%
C 1
 
5.6%
Other Punctuation
ValueCountFrequency (%)
/ 137
87.8%
@ 13
 
8.3%
, 6
 
3.8%
Space Separator
ValueCountFrequency (%)
5135
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1773
100.0%
Open Punctuation
ValueCountFrequency (%)
( 46
100.0%
Close Punctuation
ValueCountFrequency (%)
) 46
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
a 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 20246
56.4%
Hangul 15602
43.5%
Latin 19
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1398
 
9.0%
지 1211
 
7.8%
번 1198
 
7.7%
구 1113
 
7.1%
부 1023
 
6.6%
광 986
 
6.3%
산 976
 
6.3%
시 952
 
6.1%
역 944
 
6.1%
호 657
 
4.2%
Other values (185) 5144
33.0%
Common
ValueCountFrequency (%)
5135
25.4%
1 2979
14.7%
2 1837
 
9.1%
- 1773
 
8.8%
3 1358
 
6.7%
5 1183
 
5.8%
4 1169
 
5.8%
0 945
 
4.7%
7 936
 
4.6%
6 931
 
4.6%
Other values (9) 2000
 
9.9%
Latin
ValueCountFrequency (%)
B 10
52.6%
A 6
31.6%
D 1
 
5.3%
C 1
 
5.3%
a 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 20265
56.5%
Hangul 15600
43.5%
Compat Jamo 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5135
25.3%
1 2979
14.7%
2 1837
 
9.1%
- 1773
 
8.7%
3 1358
 
6.7%
5 1183
 
5.8%
4 1169
 
5.8%
0 945
 
4.7%
7 936
 
4.6%
6 931
 
4.6%
Other values (14) 2019
 
10.0%
Hangul
ValueCountFrequency (%)
동 1398
 
9.0%
지 1211
 
7.8%
번 1198
 
7.7%
구 1113
 
7.1%
부 1023
 
6.6%
광 986
 
6.3%
산 976
 
6.3%
시 952
 
6.1%
역 944
 
6.1%
호 657
 
4.2%
Other values (183) 5142
33.0%
Compat Jamo
ValueCountFrequency (%)
ㄴ 1
50.0%
ㅡ 1
50.0%

지정일자
Real number (ℝ)

MISSING 

Distinct308
Distinct (%)47.2%
Missing6894
Missing (%)91.4%
Infinite0
Infinite (%)0.0%
Mean20043612
Minimum19950301
Maximum20201221
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size66.5 KiB
2024-04-18T08:31:07.353662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19950301
5-th percentile19950301
Q119950301
median20090304
Q320103447
95-th percentile20171002
Maximum20201221
Range250920
Interquartile range (IQR)153145.75

Descriptive statistics

Standard deviation85595.882
Coefficient of variation (CV)0.0042704819
Kurtosis-1.5787437
Mean20043612
Median Absolute Deviation (MAD)80064
Skewness0.023504396
Sum1.3068435 × 1010
Variance7.326655 × 109
MonotonicityNot monotonic
2024-04-18T08:31:07.489449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19950301 283
 
3.8%
20110308 4
 
0.1%
20090914 3
 
< 0.1%
20110421 3
 
< 0.1%
20110504 3
 
< 0.1%
20090102 3
 
< 0.1%
20110523 3
 
< 0.1%
20100525 3
 
< 0.1%
20100316 3
 
< 0.1%
20091202 2
 
< 0.1%
Other values (298) 342
 
4.5%
(Missing) 6894
91.4%
ValueCountFrequency (%)
19950301 283
3.8%
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 (%)
20201221 1
< 0.1%
20201201 1
< 0.1%
20201109 1
< 0.1%
20201019 1
< 0.1%
20201007 1
< 0.1%
20200910 1
< 0.1%
20200612 1
< 0.1%
20200331 1
< 0.1%
20200226 1
< 0.1%
20200221 2
< 0.1%

신청일자
Real number (ℝ)

MISSING 

Distinct923
Distinct (%)24.2%
Missing3735
Missing (%)49.5%
Infinite0
Infinite (%)0.0%
Mean19965768
Minimum1998
Maximum50000504
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size66.5 KiB
2024-04-18T08:31:07.643361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1998
5-th percentile19941221
Q119950301
median19960501
Q320010102
95-th percentile20100917
Maximum50000504
Range49998506
Interquartile range (IQR)59801

Descriptive statistics

Standard deviation835164.02
Coefficient of variation (CV)0.041829798
Kurtosis737.31933
Mean19965768
Median Absolute Deviation (MAD)19280
Skewness-1.5465789
Sum7.6089541 × 1010
Variance6.9749895 × 1011
MonotonicityNot monotonic
2024-04-18T08:31:07.776670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19950301 705
 
9.3%
20010102 403
 
5.3%
19950101 297
 
3.9%
19950501 236
 
3.1%
19960308 135
 
1.8%
19960101 116
 
1.5%
19940927 74
 
1.0%
20030423 69
 
0.9%
19941221 59
 
0.8%
19960501 48
 
0.6%
Other values (913) 1669
22.1%
(Missing) 3735
49.5%
ValueCountFrequency (%)
1998 2
< 0.1%
1995010 1
 
< 0.1%
1997078 1
 
< 0.1%
9940927 2
< 0.1%
9990824 1
 
< 0.1%
19550501 2
< 0.1%
19660308 3
< 0.1%
19801010 1
 
< 0.1%
19900202 1
 
< 0.1%
19920101 3
< 0.1%
ValueCountFrequency (%)
50000504 1
< 0.1%
20201221 1
< 0.1%
20201201 1
< 0.1%
20201109 1
< 0.1%
20201019 1
< 0.1%
20201007 1
< 0.1%
20200910 1
< 0.1%
20200612 1
< 0.1%
20200331 1
< 0.1%
20200226 1
< 0.1%

항목값1
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size59.1 KiB
관급봉투
7546 

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 7546
100.0%

Length

2024-04-18T08:31:07.898829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T08:31:07.988564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
관급봉투 7546
100.0%

Unnamed: 33
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing7546
Missing (%)100.0%
Memory size66.5 KiB

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)업소구분명소재지지정일자신청일자항목값1Unnamed: 33
01쓰레기종량제봉투판매업09_30_13_P325000032500001420180001220181105<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 부산코모도점20181105100746I2018-11-07 02:37:55.0<NA>385306.698877180120.939471지정부산광역시 중구 대청동1가 37번지 1호 코모도에스테이트 108호2018110520181105관급봉투<NA>
12쓰레기종량제봉투판매업09_30_13_P325000032500001420190000120190111<NA>1영업/정상11영업<NA><NA><NA><NA>051-248-8106<NA><NA>부산광역시 중구 남포동6가 3번지 신천지부산광역시 중구 자갈치로 33, 신천지 (남포동6가)48982자갈치 탑마트20190111175139I2019-01-13 02:20:47.0<NA>384836.914456179432.73458지정<NA>2019011120190111관급봉투<NA>
23쓰레기종량제봉투판매업09_30_13_P325000032500001420190000220190319<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA><NA>부산광역시 중구 영주동 142-24번지 문화빌리지부산광역시 중구 동영로64번길 21 (영주동, 문화빌리지)48914GS25 부산터널점20190319110538I2019-03-21 02:21:57.0<NA>385234.390509181142.867958지정부산광역시 중구 영주동 142번지 24호 문화빌리지2019031920190318관급봉투<NA>
34쓰레기종량제봉투판매업09_30_13_P325000032500001419940000119941221<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA>600111부산광역시 중구 영주동 640-28 2통2반부산광역시 중구 대영로242번안길 7 (영주동)600110봉래슈퍼마켓20210202120945U2021-02-04 02:40:00.0<NA>385551.263008180920.368072종료부산광역시 중구 영주동 640-28번지 2 통 2 반<NA>19941221관급봉투<NA>
45쓰레기종량제봉투판매업09_30_13_P325000032500001419940000319941221<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA>600111부산광역시 중구 영주동 28번지 8통3반<NA><NA>경북상회20131230125453I2018-08-31 23:59:59.0<NA><NA><NA>지정부산광역시 중구 영주동 28번지 8 통 3 반<NA>19941221관급봉투<NA>
56쓰레기종량제봉투판매업09_30_13_P325000032500001419940000419941221<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA>600111부산광역시 중구 영주동 525번지 18통1반<NA><NA>잡화상20070707100050I2018-08-31 23:59:59.0<NA><NA><NA>지정부산광역시 중구 영주동 525번지 18 통 1 반<NA>19941221관급봉투<NA>
67쓰레기종량제봉투판매업09_30_13_P325000032500001419940000519941221<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA>600052부산광역시 중구 창선동2가 40번지<NA><NA>창선담배집20131230125801I2018-08-31 23:59:59.0<NA><NA><NA>지정부산광역시 중구 창선동2가 40번지<NA>19941221관급봉투<NA>
78쓰레기종량제봉투판매업09_30_13_P325000032500001419940000619941221<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA>600062부산광역시 중구 신창동2가 22번지부산광역시 중구 광복로43번길 11 (신창동2가)<NA>신생아파트20131230125901I2018-08-31 23:59:59.0<NA>384985.998766179790.331106지정부산광역시 중구 신창동1가 4번지<NA>19941221관급봉투<NA>
89쓰레기종량제봉투판매업09_30_13_P325000032500001419940000719941221<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA>600061부산광역시 중구 신창동1가 4번지부산광역시 중구 광복중앙로 27 (신창동1가)<NA>용두산맨션20131230125947I2018-08-31 23:59:59.0<NA>385081.060357179965.026159지정부산광역시 중구 신창동1가 4번지<NA>19941221관급봉투<NA>
910쓰레기종량제봉투판매업09_30_13_P325000032500001419940000819941221<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA>600030부산광역시 중구 광복동1가 국제시장1B지하<NA><NA>국제비닐20131230130142I2018-08-31 23:59:59.0<NA><NA><NA>지정부산광역시 중구 광복동1가 국제시장1B지하<NA>19941221관급봉투<NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)업소구분명소재지지정일자신청일자항목값1Unnamed: 33
75367537쓰레기종량제봉투판매업09_30_13_P3330000333000014200050066<NA><NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA>612030부산광역시 해운대구 좌동 1445번지부산광역시 해운대구 좌동순환로299번길 22 (좌동)<NA>삼환할인마트20070707101830I2018-08-31 23:59:59.0<NA>399030.015128187682.694847지정<NA><NA>19990504관급봉투<NA>
75377538쓰레기종량제봉투판매업09_30_13_P3330000333000014200050067<NA><NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA>612030부산광역시 해운대구 좌동 1413번지부산광역시 해운대구 세실로 174 (좌동)<NA>파란이삭20070707101830I2018-08-31 23:59:59.0<NA>398375.978241188861.300752<NA><NA><NA><NA>관급봉투<NA>
75387539쓰레기종량제봉투판매업09_30_13_P3330000333000014200050068<NA><NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA>612030부산광역시 해운대구 좌동 1300번지부산광역시 해운대구 세실로 138 (좌동)<NA>롯데3차슈퍼20070707101830I2018-08-31 23:59:59.0<NA>398278.265194188542.110228지정<NA><NA>19990504관급봉투<NA>
75397540쓰레기종량제봉투판매업09_30_13_P3330000333000014200050069<NA><NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA>612030부산광역시 해운대구 좌동 1414번지부산광역시 해운대구 좌동순환로217번길 19 (좌동)<NA>건영슈퍼20070707101830I2018-08-31 23:59:59.0<NA>398571.069434188718.326304<NA><NA><NA><NA>관급봉투<NA>
75407541쓰레기종량제봉투판매업09_30_13_P3330000333000014200050070<NA><NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA>612030부산광역시 해운대구 좌동 1278번지부산광역시 해운대구 대천로67번길 18 (좌동)<NA>주공슈퍼20070707101830I2018-08-31 23:59:59.0<NA>397501.394458188294.502825지정<NA><NA>19990504관급봉투<NA>
75417542쓰레기종량제봉투판매업09_30_13_P3330000333000014200050071<NA><NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA>612030부산광역시 해운대구 좌동 1300번지부산광역시 해운대구 세실로 138 (좌동)<NA>롯데3차관리소20070707101830I2018-08-31 23:59:59.0<NA>398278.265194188542.110228지정<NA><NA>19990908관급봉투<NA>
75427543쓰레기종량제봉투판매업09_30_13_P3330000333000014200050072<NA><NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA>612030부산광역시 해운대구 좌동 1270-1번지<NA><NA>훼미리마트온누리점20070707101830I2018-08-31 23:59:59.0<NA>397403.008237188179.175471지정<NA><NA>20000908관급봉투<NA>
75437544쓰레기종량제봉투판매업09_30_13_P3330000333000014200050075<NA><NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA>612030부산광역시 해운대구 좌동 1451번지부산광역시 해운대구 청사포로 12 (좌동)<NA>대성슈퍼20070707101830I2018-08-31 23:59:59.0<NA>398778.030403187351.865555지정<NA><NA><NA>관급봉투<NA>
75447545쓰레기종량제봉투판매업09_30_13_P3330000333000014200050076<NA><NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA>612030부산광역시 해운대구 좌동 984번지부산광역시 해운대구 좌동로91번길 10 (좌동)<NA>시장마트20070707101830I2018-08-31 23:59:59.0<NA>398060.211342188140.016024<NA><NA><NA><NA>관급봉투<NA>
75457546쓰레기종량제봉투판매업09_30_13_P3330000333000014200050077<NA><NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA>612030부산광역시 해운대구 좌동 1331번지부산광역시 해운대구 세실로 7 (좌동)<NA>상록할인스토아20070707101830I2018-08-31 23:59:59.0<NA>398616.713432187388.675187지정<NA><NA>19990925관급봉투<NA>