Overview

Dataset statistics

Number of variables34
Number of observations5146
Missing cells67378
Missing cells (%)38.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.4 MiB
Average record size in memory293.0 B

Variable types

Numeric13
Categorical9
Unsupported6
Text5
DateTime1

Dataset

Description2022-12-01
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
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
데이터갱신구분 is highly imbalanced (88.2%)Imbalance
인허가취소일자 has 5146 (100.0%) missing valuesMissing
폐업일자 has 4604 (89.5%) missing valuesMissing
휴업시작일자 has 4632 (90.0%) missing valuesMissing
휴업종료일자 has 5146 (100.0%) missing valuesMissing
재개업일자 has 5146 (100.0%) missing valuesMissing
소재지전화 has 3465 (67.3%) missing valuesMissing
소재지면적 has 5146 (100.0%) missing valuesMissing
소재지우편번호 has 165 (3.2%) missing valuesMissing
소재지전체주소 has 60 (1.2%) missing valuesMissing
도로명전체주소 has 3432 (66.7%) missing valuesMissing
도로명우편번호 has 4703 (91.4%) missing valuesMissing
업태구분명 has 5146 (100.0%) missing valuesMissing
좌표정보(x) has 3003 (58.4%) missing valuesMissing
좌표정보(y) has 3003 (58.4%) missing valuesMissing
소재지 has 2745 (53.3%) missing valuesMissing
지정일자 has 4465 (86.8%) missing valuesMissing
신청일자 has 2225 (43.2%) missing valuesMissing
Unnamed: 33 has 5146 (100.0%) missing valuesMissing
소재지우편번호 is highly skewed (γ1 = -31.95031969)Skewed
신청일자 is highly skewed (γ1 = 26.37377431)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 23:35:55.454396
Analysis finished2024-04-17 23:35:56.551711
Duration1.1 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct5146
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2573.5
Minimum1
Maximum5146
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size45.4 KiB
2024-04-18T08:35:56.622648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile258.25
Q11287.25
median2573.5
Q33859.75
95-th percentile4888.75
Maximum5146
Range5145
Interquartile range (IQR)2572.5

Descriptive statistics

Standard deviation1485.6666
Coefficient of variation (CV)0.57729418
Kurtosis-1.2
Mean2573.5
Median Absolute Deviation (MAD)1286.5
Skewness0
Sum13243231
Variance2207205.2
MonotonicityStrictly increasing
2024-04-18T08:35:56.777471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
3379 1
 
< 0.1%
3437 1
 
< 0.1%
3436 1
 
< 0.1%
3435 1
 
< 0.1%
3434 1
 
< 0.1%
3433 1
 
< 0.1%
3432 1
 
< 0.1%
3431 1
 
< 0.1%
3430 1
 
< 0.1%
Other values (5136) 5136
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 (%)
5146 1
< 0.1%
5145 1
< 0.1%
5144 1
< 0.1%
5143 1
< 0.1%
5142 1
< 0.1%
5141 1
< 0.1%
5140 1
< 0.1%
5139 1
< 0.1%
5138 1
< 0.1%
5137 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size40.3 KiB
쓰레기종량제봉투판매업
5146 

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 5146
100.0%

Length

2024-04-18T08:35:56.895546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T08:35:56.979071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
쓰레기종량제봉투판매업 5146
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size40.3 KiB
09_30_13_P
5146 

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 5146
100.0%

Length

2024-04-18T08:35:57.067032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T08:35:57.162766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
09_30_13_p 5146
100.0%

개방자치단체코드
Real number (ℝ)

Distinct13
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3322650.6
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size45.4 KiB
2024-04-18T08:35:57.246333image/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 deviation50028.264
Coefficient of variation (CV)0.015056733
Kurtosis-1.438432
Mean3322650.6
Median Absolute Deviation (MAD)40000
Skewness0.25292083
Sum1.709836 × 1010
Variance2.5028272 × 109
MonotonicityIncreasing
2024-04-18T08:35:57.350897image/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 379
7.4%
3300000 368
7.2%
3330000 326
6.3%
3400000 269
 
5.2%
Other values (3) 328
6.4%
ValueCountFrequency (%)
3250000 379
7.4%
3270000 751
14.6%
3280000 465
9.0%
3290000 431
8.4%
3300000 368
7.2%
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
7.2%
3290000 431
8.4%

관리번호
Real number (ℝ)

UNIQUE 

Distinct5146
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.3226507 × 1017
Minimum3.2500001 × 1017
Maximum3.4000001 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size45.4 KiB
2024-04-18T08:35:57.479877image/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 deviation5.0028264 × 1015
Coefficient of variation (CV)0.015056733
Kurtosis-1.438432
Mean3.3226507 × 1017
Median Absolute Deviation (MAD)4 × 1015
Skewness0.25292083
Sum-5.7111258 × 1018
Variance2.5028272 × 1031
MonotonicityNot monotonic
2024-04-18T08:35:57.618236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
325000014201400009 1
 
< 0.1%
334000014201100020 1
 
< 0.1%
336000014199500062 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%
Other values (5136) 5136
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
Real number (ℝ)

Distinct1205
Distinct (%)23.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19240207
Minimum1994
Maximum20221031
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size45.4 KiB
2024-04-18T08:35:57.751023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1994
5-th percentile19941201
Q119950301
median19981026
Q320010102
95-th percentile20100525
Maximum20221031
Range20219037
Interquartile range (IQR)59801

Descriptive statistics

Standard deviation3787509.2
Coefficient of variation (CV)0.19685386
Kurtosis21.44434
Mean19240207
Median Absolute Deviation (MAD)30725
Skewness-4.8405267
Sum9.9010108 × 1010
Variance1.4345226 × 1013
MonotonicityNot monotonic
2024-04-18T08:35:57.889049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19950301 714
 
13.9%
19990331 437
 
8.5%
20010102 397
 
7.7%
20000103 347
 
6.7%
19950101 317
 
6.2%
19960308 156
 
3.0%
19960101 115
 
2.2%
19941220 113
 
2.2%
19950501 107
 
2.1%
19941221 60
 
1.2%
Other values (1195) 2383
46.3%
ValueCountFrequency (%)
1994 1
 
< 0.1%
1995 2
 
< 0.1%
1996 1
 
< 0.1%
1998 27
0.5%
1999 5
 
0.1%
2000 1
 
< 0.1%
19942 3
 
0.1%
199402 19
 
0.4%
199411 16
 
0.3%
199412 48
0.9%
ValueCountFrequency (%)
20221031 1
< 0.1%
20221028 2
< 0.1%
20221025 1
< 0.1%
20221018 1
< 0.1%
20221005 1
< 0.1%
20220829 1
< 0.1%
20220725 1
< 0.1%
20220414 1
< 0.1%
20220404 1
< 0.1%
20220224 1
< 0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5146
Missing (%)100.0%
Memory size45.4 KiB

영업상태구분코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size40.3 KiB
1
4602 
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 4602
89.4%
3 543
 
10.6%
2 1
 
< 0.1%

Length

2024-04-18T08:35:58.016821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T08:35:58.105005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 4602
89.4%
3 543
 
10.6%
2 1
 
< 0.1%

영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size40.3 KiB
영업/정상
4602 
폐업
543 
휴업
 
1

Length

Max length5
Median length5
Mean length4.6828605
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 4602
89.4%
폐업 543
 
10.6%
휴업 1
 
< 0.1%

Length

2024-04-18T08:35:58.202888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T08:35:58.297952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 4602
89.4%
폐업 543
 
10.6%
휴업 1
 
< 0.1%

상세영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size40.3 KiB
11
4601 
2
543 
0
 
1
1
 
1

Length

Max length2
Median length2
Mean length1.8940925
Min length1

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
11 4601
89.4%
2 543
 
10.6%
0 1
 
< 0.1%
1 1
 
< 0.1%

Length

2024-04-18T08:35:58.409143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T08:35:58.505885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11 4601
89.4%
2 543
 
10.6%
0 1
 
< 0.1%
1 1
 
< 0.1%

상세영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size40.3 KiB
영업
4601 
폐업
543 
<NA>
 
1
휴업
 
1

Length

Max length4
Median length2
Mean length2.0003887
Min length2

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
영업 4601
89.4%
폐업 543
 
10.6%
<NA> 1
 
< 0.1%
휴업 1
 
< 0.1%

Length

2024-04-18T08:35:58.622517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T08:35:58.727659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 4601
89.4%
폐업 543
 
10.6%
na 1
 
< 0.1%
휴업 1
 
< 0.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct50
Distinct (%)9.2%
Missing4604
Missing (%)89.5%
Infinite0
Infinite (%)0.0%
Mean20075834
Minimum20001011
Maximum20210506
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size45.4 KiB
2024-04-18T08:35:58.840900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20001011
5-th percentile20060110
Q120070708
median20070708
Q320090112
95-th percentile20100111
Maximum20210506
Range209495
Interquartile range (IQR)19404

Descriptive statistics

Standard deviation23396.148
Coefficient of variation (CV)0.0011653886
Kurtosis10.519668
Mean20075834
Median Absolute Deviation (MAD)0
Skewness1.5892845
Sum1.0881102 × 1010
Variance5.4737976 × 108
MonotonicityNot monotonic
2024-04-18T08:35:58.971447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20070708 312
 
6.1%
20100111 69
 
1.3%
20090112 49
 
1.0%
20060510 48
 
0.9%
20060110 6
 
0.1%
20010530 5
 
0.1%
20071023 3
 
0.1%
20021226 2
 
< 0.1%
20010622 2
 
< 0.1%
20011221 2
 
< 0.1%
Other values (40) 44
 
0.9%
(Missing) 4604
89.5%
ValueCountFrequency (%)
20001011 1
 
< 0.1%
20010117 1
 
< 0.1%
20010314 1
 
< 0.1%
20010317 1
 
< 0.1%
20010530 5
0.1%
20010622 2
 
< 0.1%
20010910 1
 
< 0.1%
20011023 1
 
< 0.1%
20011221 2
 
< 0.1%
20020227 1
 
< 0.1%
ValueCountFrequency (%)
20210506 1
< 0.1%
20201231 1
< 0.1%
20200908 2
< 0.1%
20200417 1
< 0.1%
20191111 1
< 0.1%
20190731 1
< 0.1%
20170327 1
< 0.1%
20140211 1
< 0.1%
20140120 2
< 0.1%
20131022 1
< 0.1%

휴업시작일자
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)6.0%
Missing4632
Missing (%)90.0%
Infinite0
Infinite (%)0.0%
Mean20077279
Minimum20000101
Maximum20191111
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size45.4 KiB
2024-04-18T08:35:59.092236image/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 deviation16424.424
Coefficient of variation (CV)0.00081806025
Kurtosis12.057049
Mean20077279
Median Absolute Deviation (MAD)0
Skewness2.3038209
Sum1.0319721 × 1010
Variance2.697617 × 108
MonotonicityNot monotonic
2024-04-18T08:35:59.220054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
20070708 312
 
6.1%
20100111 69
 
1.3%
20060510 49
 
1.0%
20090112 49
 
1.0%
20060110 6
 
0.1%
20071023 3
 
0.1%
20071102 2
 
< 0.1%
20091117 1
 
< 0.1%
20081221 1
 
< 0.1%
20131022 1
 
< 0.1%
Other values (21) 21
 
0.4%
(Missing) 4632
90.0%
ValueCountFrequency (%)
20000101 1
 
< 0.1%
20060110 6
 
0.1%
20060510 49
 
1.0%
20070708 312
6.1%
20070810 1
 
< 0.1%
20071023 3
 
0.1%
20071102 2
 
< 0.1%
20081218 1
 
< 0.1%
20081221 1
 
< 0.1%
20090112 49
 
1.0%
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 

Missing5146
Missing (%)100.0%
Memory size45.4 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5146
Missing (%)100.0%
Memory size45.4 KiB

소재지전화
Text

MISSING 

Distinct1607
Distinct (%)95.6%
Missing3465
Missing (%)67.3%
Memory size40.3 KiB
2024-04-18T08:35:59.441973image/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%
2024-04-18T08:35:59.786698image/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 

Missing5146
Missing (%)100.0%
Memory size45.4 KiB

소재지우편번호
Real number (ℝ)

MISSING  SKEWED 

Distinct422
Distinct (%)8.5%
Missing165
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean609664.89
Minimum1
Maximum619963
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size45.4 KiB
2024-04-18T08:35:59.927636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile600815
Q1606043
median609828
Q3614111
95-th percentile619901
Maximum619963
Range619962
Interquartile range (IQR)8068

Descriptive statistics

Standard deviation16227.61
Coefficient of variation (CV)0.026617262
Kurtosis1198.4656
Mean609664.89
Median Absolute Deviation (MAD)4265
Skewness-31.95032
Sum3.0367408 × 109
Variance2.6333533 × 108
MonotonicityNot monotonic
2024-04-18T08:36:00.058835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
601062 70
 
1.4%
601012 63
 
1.2%
612051 60
 
1.2%
612082 57
 
1.1%
612081 56
 
1.1%
601013 55
 
1.1%
606081 53
 
1.0%
606072 53
 
1.0%
601064 52
 
1.0%
608043 52
 
1.0%
Other values (412) 4410
85.7%
(Missing) 165
 
3.2%
ValueCountFrequency (%)
1 1
 
< 0.1%
6 1
 
< 0.1%
60 1
 
< 0.1%
600012 8
0.2%
600013 4
 
0.1%
600014 16
0.3%
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
 
0.2%
619953 9
 
0.2%
619952 8
 
0.2%
619951 23
0.4%
619913 20
0.4%
619912 29
0.6%
619911 19
0.4%
619906 18
0.3%

소재지전체주소
Text

MISSING 

Distinct4596
Distinct (%)90.4%
Missing60
Missing (%)1.2%
Memory size40.3 KiB
2024-04-18T08:36:00.372315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length45
Mean length24.342705
Min length14

Characters and Unicode

Total characters123807
Distinct characters270
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

Unique4224 ?
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 5086
 
19.8%
번지 2069
 
8.1%
사상구 780
 
3.0%
반 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 (4740) 13939
54.2%
2024-04-18T08:36:00.844917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
24463
19.8%
동 6200
 
5.0%
1 5820
 
4.7%
부 5681
 
4.6%
산 5580
 
4.5%
광 5417
 
4.4%
시 5103
 
4.1%
역 5089
 
4.1%
지 5037
 
4.1%
번 4955
 
4.0%
Other values (260) 50462
40.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 69804
56.4%
Decimal Number 25186
 
20.3%
Space Separator 24463
 
19.8%
Dash Punctuation 4256
 
3.4%
Uppercase Letter 45
 
< 0.1%
Other Punctuation 42
 
< 0.1%
Lowercase Letter 5
 
< 0.1%
Math Symbol 4
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 6200
 
8.9%
부 5681
 
8.1%
산 5580
 
8.0%
광 5417
 
7.8%
시 5103
 
7.3%
역 5089
 
7.3%
지 5037
 
7.2%
번 4955
 
7.1%
구 4839
 
6.9%
영 1200
 
1.7%
Other values (224) 20703
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%
S 1
 
2.2%
K 1
 
2.2%
F 1
 
2.2%
Other values (3) 3
 
6.7%
Decimal Number
ValueCountFrequency (%)
1 5820
23.1%
2 3272
13.0%
3 2696
10.7%
4 2478
9.8%
5 2349
9.3%
6 1850
 
7.3%
7 1788
 
7.1%
0 1749
 
6.9%
8 1660
 
6.6%
9 1524
 
6.1%
Other Punctuation
ValueCountFrequency (%)
, 20
47.6%
@ 12
28.6%
/ 9
21.4%
' 1
 
2.4%
Lowercase Letter
ValueCountFrequency (%)
a 2
40.0%
e 1
20.0%
r 1
20.0%
k 1
20.0%
Space Separator
ValueCountFrequency (%)
24463
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4256
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 69804
56.4%
Common 53953
43.6%
Latin 50
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 6200
 
8.9%
부 5681
 
8.1%
산 5580
 
8.0%
광 5417
 
7.8%
시 5103
 
7.3%
역 5089
 
7.3%
지 5037
 
7.2%
번 4955
 
7.1%
구 4839
 
6.9%
영 1200
 
1.7%
Other values (224) 20703
29.7%
Common
ValueCountFrequency (%)
24463
45.3%
1 5820
 
10.8%
- 4256
 
7.9%
2 3272
 
6.1%
3 2696
 
5.0%
4 2478
 
4.6%
5 2349
 
4.4%
6 1850
 
3.4%
7 1788
 
3.3%
0 1749
 
3.2%
Other values (9) 3232
 
6.0%
Latin
ValueCountFrequency (%)
A 18
36.0%
B 14
28.0%
O 2
 
4.0%
a 2
 
4.0%
T 2
 
4.0%
e 1
 
2.0%
C 1
 
2.0%
D 1
 
2.0%
E 1
 
2.0%
S 1
 
2.0%
Other values (7) 7
 
14.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 69804
56.4%
ASCII 54003
43.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
24463
45.3%
1 5820
 
10.8%
- 4256
 
7.9%
2 3272
 
6.1%
3 2696
 
5.0%
4 2478
 
4.6%
5 2349
 
4.3%
6 1850
 
3.4%
7 1788
 
3.3%
0 1749
 
3.2%
Other values (26) 3282
 
6.1%
Hangul
ValueCountFrequency (%)
동 6200
 
8.9%
부 5681
 
8.1%
산 5580
 
8.0%
광 5417
 
7.8%
시 5103
 
7.3%
역 5089
 
7.3%
지 5037
 
7.2%
번 4955
 
7.1%
구 4839
 
6.9%
영 1200
 
1.7%
Other values (224) 20703
29.7%

도로명전체주소
Text

MISSING 

Distinct1601
Distinct (%)93.4%
Missing3432
Missing (%)66.7%
Memory size40.3 KiB
2024-04-18T08:36:01.171098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length49
Mean length26.911319
Min length19

Characters and Unicode

Total characters46126
Distinct characters281
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

Unique1508 ?
Unique (%)88.0%

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 1714
 
19.5%
사상구 468
 
5.3%
남구 424
 
4.8%
중구 225
 
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 (1659) 5225
59.4%
2024-04-18T08:36:01.680890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8249
 
17.9%
동 1973
 
4.3%
광 1876
 
4.1%
부 1823
 
4.0%
산 1806
 
3.9%
시 1743
 
3.8%
역 1715
 
3.7%
구 1627
 
3.5%
로 1598
 
3.5%
( 1589
 
3.4%
Other values (271) 22127
48.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 27196
59.0%
Space Separator 8249
 
17.9%
Decimal Number 6928
 
15.0%
Open Punctuation 1589
 
3.4%
Close Punctuation 1589
 
3.4%
Dash Punctuation 307
 
0.7%
Other Punctuation 246
 
0.5%
Uppercase Letter 18
 
< 0.1%
Math Symbol 3
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1973
 
7.3%
광 1876
 
6.9%
부 1823
 
6.7%
산 1806
 
6.6%
시 1743
 
6.4%
역 1715
 
6.3%
구 1627
 
6.0%
로 1598
 
5.9%
길 976
 
3.6%
번 895
 
3.3%
Other values (247) 11164
41.1%
Decimal Number
ValueCountFrequency (%)
1 1543
22.3%
2 950
13.7%
3 820
11.8%
4 705
10.2%
0 533
 
7.7%
6 532
 
7.7%
5 527
 
7.6%
7 466
 
6.7%
9 462
 
6.7%
8 390
 
5.6%
Uppercase Letter
ValueCountFrequency (%)
B 10
55.6%
A 4
 
22.2%
D 1
 
5.6%
C 1
 
5.6%
W 1
 
5.6%
E 1
 
5.6%
Other Punctuation
ValueCountFrequency (%)
, 237
96.3%
@ 9
 
3.7%
Space Separator
ValueCountFrequency (%)
8249
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1589
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1589
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 27196
59.0%
Common 18911
41.0%
Latin 19
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1973
 
7.3%
광 1876
 
6.9%
부 1823
 
6.7%
산 1806
 
6.6%
시 1743
 
6.4%
역 1715
 
6.3%
구 1627
 
6.0%
로 1598
 
5.9%
길 976
 
3.6%
번 895
 
3.3%
Other values (247) 11164
41.1%
Common
ValueCountFrequency (%)
8249
43.6%
( 1589
 
8.4%
) 1589
 
8.4%
1 1543
 
8.2%
2 950
 
5.0%
3 820
 
4.3%
4 705
 
3.7%
0 533
 
2.8%
6 532
 
2.8%
5 527
 
2.8%
Other values (7) 1874
 
9.9%
Latin
ValueCountFrequency (%)
B 10
52.6%
A 4
 
21.1%
D 1
 
5.3%
C 1
 
5.3%
a 1
 
5.3%
W 1
 
5.3%
E 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 27196
59.0%
ASCII 18930
41.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8249
43.6%
( 1589
 
8.4%
) 1589
 
8.4%
1 1543
 
8.2%
2 950
 
5.0%
3 820
 
4.3%
4 705
 
3.7%
0 533
 
2.8%
6 532
 
2.8%
5 527
 
2.8%
Other values (14) 1893
 
10.0%
Hangul
ValueCountFrequency (%)
동 1973
 
7.3%
광 1876
 
6.9%
부 1823
 
6.7%
산 1806
 
6.6%
시 1743
 
6.4%
역 1715
 
6.3%
구 1627
 
6.0%
로 1598
 
5.9%
길 976
 
3.6%
번 895
 
3.3%
Other values (247) 11164
41.1%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct169
Distinct (%)38.1%
Missing4703
Missing (%)91.4%
Infinite0
Infinite (%)0.0%
Mean470756.43
Minimum46080
Maximum619963
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size45.4 KiB
2024-04-18T08:36:01.825475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46080
5-th percentile48929
Q149054.5
median617802
Q3617833
95-th percentile619906
Maximum619963
Range573883
Interquartile range (IQR)568778.5

Descriptive statistics

Standard deviation247207.84
Coefficient of variation (CV)0.52512898
Kurtosis-0.73337313
Mean470756.43
Median Absolute Deviation (MAD)2101
Skewness-1.1256771
Sum2.085451 × 108
Variance6.1111717 × 1010
MonotonicityNot monotonic
2024-04-18T08:36:01.952972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
619903 19
 
0.4%
617818 11
 
0.2%
617833 10
 
0.2%
617800 10
 
0.2%
617802 10
 
0.2%
48953 9
 
0.2%
600110 9
 
0.2%
617841 9
 
0.2%
617836 8
 
0.2%
617807 8
 
0.2%
Other values (159) 340
 
6.6%
(Missing) 4703
91.4%
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%
48921 1
 
< 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

Distinct3237
Distinct (%)62.9%
Missing0
Missing (%)0.0%
Memory size40.3 KiB
2024-04-18T08:36:02.223680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length4
Mean length5.0932763
Min length1

Characters and Unicode

Total characters26210
Distinct characters550
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

Unique2525 ?
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 (3286) 5255
92.5%
2024-04-18T08:36:02.628254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
퍼 2004
 
7.6%
슈 1753
 
6.7%
상 1019
 
3.9%
회 961
 
3.7%
마 894
 
3.4%
트 773
 
2.9%
점 586
 
2.2%
537
 
2.0%
대 388
 
1.5%
동 366
 
1.4%
Other values (540) 16929
64.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24437
93.2%
Space Separator 537
 
2.0%
Decimal Number 469
 
1.8%
Uppercase Letter 386
 
1.5%
Close Punctuation 158
 
0.6%
Open Punctuation 158
 
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 (%)
퍼 2004
 
8.2%
슈 1753
 
7.2%
상 1019
 
4.2%
회 961
 
3.9%
마 894
 
3.7%
트 773
 
3.2%
점 586
 
2.4%
대 388
 
1.6%
동 366
 
1.5%
수 363
 
1.5%
Other values (484) 15330
62.7%
Uppercase Letter
ValueCountFrequency (%)
G 114
29.5%
S 81
21.0%
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
 
10.4%
Lowercase Letter
ValueCountFrequency (%)
i 8
21.1%
n 6
15.8%
g 4
10.5%
s 3
 
7.9%
o 3
 
7.9%
e 3
 
7.9%
c 2
 
5.3%
k 2
 
5.3%
h 1
 
2.6%
p 1
 
2.6%
Other values (5) 5
13.2%
Decimal Number
ValueCountFrequency (%)
2 204
43.5%
5 149
31.8%
4 37
 
7.9%
1 28
 
6.0%
3 19
 
4.1%
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 (%)
537
100.0%
Close Punctuation
ValueCountFrequency (%)
) 158
100.0%
Open Punctuation
ValueCountFrequency (%)
( 158
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 24438
93.2%
Common 1348
 
5.1%
Latin 424
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
퍼 2004
 
8.2%
슈 1753
 
7.2%
상 1019
 
4.2%
회 961
 
3.9%
마 894
 
3.7%
트 773
 
3.2%
점 586
 
2.4%
대 388
 
1.6%
동 366
 
1.5%
수 363
 
1.5%
Other values (485) 15331
62.7%
Latin
ValueCountFrequency (%)
G 114
26.9%
S 81
19.1%
L 46
10.8%
C 33
 
7.8%
A 16
 
3.8%
K 14
 
3.3%
P 12
 
2.8%
T 11
 
2.6%
M 10
 
2.4%
J 9
 
2.1%
Other values (27) 78
18.4%
Common
ValueCountFrequency (%)
537
39.8%
2 204
 
15.1%
) 158
 
11.7%
( 158
 
11.7%
5 149
 
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
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24437
93.2%
ASCII 1772
 
6.8%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
퍼 2004
 
8.2%
슈 1753
 
7.2%
상 1019
 
4.2%
회 961
 
3.9%
마 894
 
3.7%
트 773
 
3.2%
점 586
 
2.4%
대 388
 
1.6%
동 366
 
1.5%
수 363
 
1.5%
Other values (484) 15330
62.7%
ASCII
ValueCountFrequency (%)
537
30.3%
2 204
 
11.5%
) 158
 
8.9%
( 158
 
8.9%
5 149
 
8.4%
G 114
 
6.4%
S 81
 
4.6%
L 46
 
2.6%
4 37
 
2.1%
C 33
 
1.9%
Other values (45) 255
14.4%
None
ValueCountFrequency (%)
㈜ 1
100.0%

최종수정시점
Real number (ℝ)

Distinct1523
Distinct (%)29.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0085543 × 1013
Minimum2.0070707 × 1013
Maximum2.0221031 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size45.4 KiB
2024-04-18T08:36:02.769664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0070707 × 1013
5-th percentile2.0070707 × 1013
Q12.0070714 × 1013
median2.0070721 × 1013
Q32.0090611 × 1013
95-th percentile2.014012 × 1013
Maximum2.0221031 × 1013
Range1.5032408 × 1011
Interquartile range (IQR)1.9897067 × 1010

Descriptive statistics

Standard deviation2.9952858 × 1010
Coefficient of variation (CV)0.0014912645
Kurtosis5.5043113
Mean2.0085543 × 1013
Median Absolute Deviation (MAD)6998295
Skewness2.3745679
Sum1.0336021 × 1017
Variance8.9717368 × 1020
MonotonicityNot monotonic
2024-04-18T08:36:02.906800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20070721103731 748
14.5%
20070721105746 512
 
9.9%
20070721110516 505
 
9.8%
20070721100711 451
 
8.8%
20070714105436 431
 
8.4%
20070714104309 368
 
7.2%
20070707101830 326
 
6.3%
20070707101824 150
 
2.9%
20070707100050 107
 
2.1%
20070707095856 19
 
0.4%
Other values (1513) 1529
29.7%
ValueCountFrequency (%)
20070707095856 19
 
0.4%
20070707100050 107
 
2.1%
20070707101824 150
 
2.9%
20070707101830 326
6.3%
20070714104309 368
7.2%
20070714105436 431
8.4%
20070714112331 1
 
< 0.1%
20070721100711 451
8.8%
20070721102202 16
 
0.3%
20070721103731 748
14.5%
ValueCountFrequency (%)
20221031173155 1
< 0.1%
20221028111245 1
< 0.1%
20221028110951 1
< 0.1%
20221025161822 1
< 0.1%
20221018142842 1
< 0.1%
20221005132927 1
< 0.1%
20220926155003 1
< 0.1%
20220829111154 1
< 0.1%
20220829110007 1
< 0.1%
20220725093529 1
< 0.1%

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size40.3 KiB
I
5064 
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 5064
98.4%
U 82
 
1.6%

Length

2024-04-18T08:36:03.031036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T08:36:03.110879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 5064
98.4%
u 82
 
1.6%

데이터갱신일자
Date

Distinct95
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size40.3 KiB
Minimum2018-08-31 23:59:59
Maximum2022-11-02 00:22:24
2024-04-18T08:36:03.210054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T08:36:03.333757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5146
Missing (%)100.0%
Memory size45.4 KiB

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct1927
Distinct (%)89.9%
Missing3003
Missing (%)58.4%
Infinite0
Infinite (%)0.0%
Mean387945.06
Minimum370283.36
Maximum408017.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size45.4 KiB
2024-04-18T08:36:03.460488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum370283.36
5-th percentile379677.34
Q1381883.17
median387313.16
Q3392508.17
95-th percentile401450.41
Maximum408017.33
Range37733.969
Interquartile range (IQR)10625.003

Descriptive statistics

Standard deviation6473.9451
Coefficient of variation (CV)0.016687788
Kurtosis-0.11195033
Mean387945.06
Median Absolute Deviation (MAD)5248.3609
Skewness0.56170196
Sum8.3136627 × 108
Variance41911965
MonotonicityNot monotonic
2024-04-18T08:36:03.593921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
379554.826788136 5
 
0.1%
385230.605157267 5
 
0.1%
385575.10426651 5
 
0.1%
385558.912351386 5
 
0.1%
386296.184967112 4
 
0.1%
385570.015221682 4
 
0.1%
373499.123572408 4
 
0.1%
388577.664510255 4
 
0.1%
381345.772891816 4
 
0.1%
390195.849928239 4
 
0.1%
Other values (1917) 2099
40.8%
(Missing) 3003
58.4%
ValueCountFrequency (%)
370283.356710493 1
 
< 0.1%
373348.88314374 1
 
< 0.1%
373499.123572408 4
0.1%
373686.060698 1
 
< 0.1%
374195.717352 1
 
< 0.1%
375014.768045 1
 
< 0.1%
375687.207326181 2
< 0.1%
375806.29131622 1
 
< 0.1%
376066.307716231 1
 
< 0.1%
376323.373374693 2
< 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 

Distinct1927
Distinct (%)89.9%
Missing3003
Missing (%)58.4%
Infinite0
Infinite (%)0.0%
Mean185724.1
Minimum173895.66
Maximum210111.94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size45.4 KiB
2024-04-18T08:36:03.732866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum173895.66
5-th percentile178647.83
Q1181563.99
median184607.68
Q3188976.62
95-th percentile195992.45
Maximum210111.94
Range36216.281
Interquartile range (IQR)7412.628

Descriptive statistics

Standard deviation5737.3638
Coefficient of variation (CV)0.030891866
Kurtosis1.1791691
Mean185724.1
Median Absolute Deviation (MAD)3464.8156
Skewness1.006244
Sum3.9800674 × 108
Variance32917344
MonotonicityNot monotonic
2024-04-18T08:36:03.865993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
184301.128962735 5
 
0.1%
181026.921498134 5
 
0.1%
185788.555761076 5
 
0.1%
182474.551700716 5
 
0.1%
182709.735940952 4
 
0.1%
187424.7082035 4
 
0.1%
181704.648037251 4
 
0.1%
178279.998453376 4
 
0.1%
189447.844867645 4
 
0.1%
183602.493480869 4
 
0.1%
Other values (1917) 2099
40.8%
(Missing) 3003
58.4%
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%
174811.513941031 1
 
< 0.1%
174835.290190736 2
< 0.1%
175046.234022708 1
 
< 0.1%
175305.892570281 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 size40.3 KiB
지정
2599 
<NA>
2175 
종료
372 

Length

Max length4
Median length2
Mean length2.8453168
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
지정 2599
50.5%
<NA> 2175
42.3%
종료 372
 
7.2%

Length

2024-04-18T08:36:04.005035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T08:36:04.102235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지정 2599
50.5%
na 2175
42.3%
종료 372
 
7.2%

소재지
Text

MISSING 

Distinct2110
Distinct (%)87.9%
Missing2745
Missing (%)53.3%
Memory size40.3 KiB
2024-04-18T08:36:04.407011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length36
Mean length11.274052
Min length2

Characters and Unicode

Total characters27069
Distinct characters209
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

Unique1993 ?
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 633
 
11.7%
중구 302
 
5.6%
사상구 296
 
5.5%
1호 80
 
1.5%
호 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 (2241) 3819
70.4%
2024-04-18T08:36:04.895863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3324
 
12.3%
1 2450
 
9.1%
2 1471
 
5.4%
- 1418
 
5.2%
3 1108
 
4.1%
동 1056
 
3.9%
5 999
 
3.7%
4 943
 
3.5%
지 798
 
2.9%
번 785
 
2.9%
Other values (199) 12717
47.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11422
42.2%
Decimal Number 10694
39.5%
Space Separator 3324
 
12.3%
Dash Punctuation 1418
 
5.2%
Other Punctuation 111
 
0.4%
Close Punctuation 41
 
0.2%
Open Punctuation 41
 
0.2%
Uppercase Letter 15
 
0.1%
Math Symbol 1
 
< 0.1%
Modifier Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1056
 
9.2%
지 798
 
7.0%
번 785
 
6.9%
부 710
 
6.2%
광 678
 
5.9%
산 659
 
5.8%
구 656
 
5.7%
시 646
 
5.7%
역 637
 
5.6%
호 598
 
5.2%
Other values (176) 4199
36.8%
Decimal Number
ValueCountFrequency (%)
1 2450
22.9%
2 1471
13.8%
3 1108
10.4%
5 999
9.3%
4 943
 
8.8%
0 784
 
7.3%
6 771
 
7.2%
7 770
 
7.2%
8 712
 
6.7%
9 686
 
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 (%)
3324
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1418
100.0%
Close Punctuation
ValueCountFrequency (%)
) 41
100.0%
Open Punctuation
ValueCountFrequency (%)
( 41
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
a 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 15631
57.7%
Hangul 11422
42.2%
Latin 16
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1056
 
9.2%
지 798
 
7.0%
번 785
 
6.9%
부 710
 
6.2%
광 678
 
5.9%
산 659
 
5.8%
구 656
 
5.7%
시 646
 
5.7%
역 637
 
5.6%
호 598
 
5.2%
Other values (176) 4199
36.8%
Common
ValueCountFrequency (%)
3324
21.3%
1 2450
15.7%
2 1471
9.4%
- 1418
9.1%
3 1108
 
7.1%
5 999
 
6.4%
4 943
 
6.0%
0 784
 
5.0%
6 771
 
4.9%
7 770
 
4.9%
Other values (9) 1593
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 15647
57.8%
Hangul 11421
42.2%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3324
21.2%
1 2450
15.7%
2 1471
9.4%
- 1418
9.1%
3 1108
 
7.1%
5 999
 
6.4%
4 943
 
6.0%
0 784
 
5.0%
6 771
 
4.9%
7 770
 
4.9%
Other values (13) 1609
10.3%
Hangul
ValueCountFrequency (%)
동 1056
 
9.2%
지 798
 
7.0%
번 785
 
6.9%
부 710
 
6.2%
광 678
 
5.9%
산 659
 
5.8%
구 656
 
5.7%
시 646
 
5.7%
역 637
 
5.6%
호 598
 
5.2%
Other values (175) 4198
36.8%
Compat Jamo
ValueCountFrequency (%)
ㄴ 1
100.0%

지정일자
Real number (ℝ)

MISSING 

Distinct337
Distinct (%)49.5%
Missing4465
Missing (%)86.8%
Infinite0
Infinite (%)0.0%
Mean20051857
Minimum19950301
Maximum20221031
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size45.4 KiB
2024-04-18T08:36:05.034991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19950301
5-th percentile19950301
Q119950301
median20090515
Q320110405
95-th percentile20210526
Maximum20221031
Range270730
Interquartile range (IQR)160104

Descriptive statistics

Standard deviation91992.73
Coefficient of variation (CV)0.0045877412
Kurtosis-1.3890043
Mean20051857
Median Absolute Deviation (MAD)90606
Skewness0.098226398
Sum1.3655314 × 1010
Variance8.4626623 × 109
MonotonicityNot monotonic
2024-04-18T08:36:05.174899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19950301 283
 
5.5%
20110308 4
 
0.1%
20100525 3
 
0.1%
20100316 3
 
0.1%
20110504 3
 
0.1%
20110421 3
 
0.1%
20090914 3
 
0.1%
20110523 3
 
0.1%
20090102 3
 
0.1%
20091105 2
 
< 0.1%
Other values (327) 371
 
7.2%
(Missing) 4465
86.8%
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 (%)
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%
20220725 1
< 0.1%
20220425 1
< 0.1%
20220422 1
< 0.1%

신청일자
Real number (ℝ)

MISSING  SKEWED 

Distinct705
Distinct (%)24.1%
Missing2225
Missing (%)43.2%
Infinite0
Infinite (%)0.0%
Mean19995364
Minimum1995010
Maximum50000504
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size45.4 KiB
2024-04-18T08:36:05.302481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1995010
5-th percentile19950101
Q119950301
median19960308
Q320010102
95-th percentile20110803
Maximum50000504
Range48005494
Interquartile range (IQR)59801

Descriptive statistics

Standard deviation650486.6
Coefficient of variation (CV)0.032531871
Kurtosis1751.8202
Mean19995364
Median Absolute Deviation (MAD)10207
Skewness26.373774
Sum5.8406458 × 1010
Variance4.2313281 × 1011
MonotonicityNot monotonic
2024-04-18T08:36:05.429799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19950301 704
 
13.7%
20010102 399
 
7.8%
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 (695) 1036
20.1%
(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%
20221027 1
< 0.1%
20221024 2
< 0.1%
20221021 1
< 0.1%
20221014 1
< 0.1%
20220928 1
< 0.1%
20220824 2
< 0.1%
20220719 1
< 0.1%
20220425 1
< 0.1%
20220422 1
< 0.1%

항목값1
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size40.3 KiB
관급봉투
5146 

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 5146
100.0%

Length

2024-04-18T08:36:05.553015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T08:36:05.632442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
관급봉투 5146
100.0%

Unnamed: 33
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5146
Missing (%)100.0%
Memory size45.4 KiB

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)업소구분명소재지지정일자신청일자항목값1Unnamed: 33
01쓰레기종량제봉투판매업09_30_13_P325000032500001420140000920140805<NA>1영업/정상0<NA><NA>20160807<NA><NA>051-250-2921<NA><NA><NA>부산광역시 중구 중앙대로 2 (중앙동7가)600017롯데쇼핑(주) 롯데마트 광복점20220422144612U2022-04-24 02:40:00.0<NA>385590.814677179553.867032지정<NA>2022042220220422관급봉투<NA>
12쓰레기종량제봉투판매업09_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>
23쓰레기종량제봉투판매업09_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>
34쓰레기종량제봉투판매업09_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>
45쓰레기종량제봉투판매업09_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>
56쓰레기종량제봉투판매업09_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>
67쓰레기종량제봉투판매업09_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>
78쓰레기종량제봉투판매업09_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>
89쓰레기종량제봉투판매업09_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>
910쓰레기종량제봉투판매업09_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>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)업소구분명소재지지정일자신청일자항목값1Unnamed: 33
51365137쓰레기종량제봉투판매업09_30_13_P340000034000001419960012719960308<NA>3폐업2폐업2009011220090112<NA><NA><NA><NA>619911부산광역시 기장군 일광면 동백리 285-18번지부산광역시 기장군 일광면 문오성길 25<NA>새마을상점20140109084011I2018-08-31 23:59:59.0<NA>405307.989826200499.135404지정동백리 285번지 18호<NA><NA>관급봉투<NA>
51375138쓰레기종량제봉투판매업09_30_13_P340000034000001419960012819960308<NA>3폐업2폐업2009011220090112<NA><NA><NA><NA>619911부산광역시 기장군 일광면 신평리 62-3번지부산광역시 기장군 일광면 일광로 603<NA>신평상회20140109084209I2018-08-31 23:59:59.0<NA>405411.882766201954.952262지정신평리 62번지 3호<NA><NA>관급봉투<NA>
51385139쓰레기종량제봉투판매업09_30_13_P340000034000001419960012919960308<NA>3폐업2폐업2009011220090112<NA><NA><NA><NA>619911부산광역시 기장군 일광면 신평리 39-3번지부산광역시 기장군 일광면 일광로 605<NA>장안상회20140109084349I2018-08-31 23:59:59.0<NA>405407.60031201974.11429지정신평리 62번지 3호<NA><NA>관급봉투<NA>
51395140쓰레기종량제봉투판매업09_30_13_P340000034000001419960017319960308<NA>3폐업2폐업2010011120100111<NA><NA><NA><NA>619903부산광역시 기장군 기장읍 대라리 406-2 번지<NA><NA>이,미용협회사무실20140109103202I2018-08-31 23:59:59.0<NA><NA><NA>지정대라리 406번지 2 호<NA>19960308관급봉투<NA>
51405141쓰레기종량제봉투판매업09_30_13_P340000034000001419960017619960702<NA>3폐업2폐업2010011120100111<NA><NA><NA><NA>619912부산광역시 기장군 일광면 삼성리 109-25 번지<NA><NA>삼거리상회20140109103927I2018-08-31 23:59:59.0<NA><NA><NA>지정삼성리 109번지 25 호<NA>19960702관급봉투<NA>
51415142쓰레기종량제봉투판매업09_30_13_P340000034000001419960017719960909<NA>3폐업2폐업2010011120100111<NA><NA><NA><NA>619903부산광역시 기장군 기장읍 대라리 98번지<NA><NA>대우상회20140109104041I2018-08-31 23:59:59.0<NA><NA><NA>지정대라리 98번지<NA>19960909관급봉투<NA>
51425143쓰레기종량제봉투판매업09_30_13_P340000034000001419960015520040512<NA>3폐업2폐업2009011220090112<NA><NA><NA><NA>619962부산광역시 기장군 정관읍 모전리 55-1 번지<NA><NA>가동상회20140109101235I2018-08-31 23:59:59.0<NA><NA><NA>지정모전리 55-1<NA>20040512관급봉투<NA>
51435144쓰레기종량제봉투판매업09_30_13_P340000034000001419960015619960308<NA>3폐업2폐업2010011120100111<NA><NA><NA><NA>619963부산광역시 기장군 정관읍 용수리 786-1번지<NA><NA>덕전상회20140109101428I2018-08-31 23:59:59.0<NA><NA><NA>지정용수리 786번지 1호<NA>19960308관급봉투<NA>
51445145쓰레기종량제봉투판매업09_30_13_P340000034000001419960015719960308<NA>3폐업2폐업2010011120100111<NA><NA><NA><NA>619963부산광역시 기장군 정관읍 용수리 610-2번지부산광역시 기장군 정관면 산막길 9<NA>산막상회20140109101538I2018-08-31 23:59:59.0<NA>397348.966428205746.622937지정용수리 610번지 2호<NA>19960308관급봉투<NA>
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