Overview

Dataset statistics

Number of variables34
Number of observations5134
Missing cells67258
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

Description2022-01-01
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 (69.1%)Imbalance
영업상태명 is highly imbalanced (69.1%)Imbalance
상세영업상태코드 is highly imbalanced (69.1%)Imbalance
상세영업상태명 is highly imbalanced (69.1%)Imbalance
데이터갱신구분 is highly imbalanced (89.4%)Imbalance
인허가취소일자 has 5134 (100.0%) missing valuesMissing
폐업일자 has 4591 (89.4%) missing valuesMissing
휴업시작일자 has 4620 (90.0%) missing valuesMissing
휴업종료일자 has 5134 (100.0%) missing valuesMissing
재개업일자 has 5134 (100.0%) missing valuesMissing
소재지전화 has 3454 (67.3%) missing valuesMissing
소재지면적 has 5134 (100.0%) missing valuesMissing
소재지우편번호 has 153 (3.0%) missing valuesMissing
소재지전체주소 has 61 (1.2%) missing valuesMissing
도로명전체주소 has 3432 (66.8%) missing valuesMissing
도로명우편번호 has 4704 (91.6%) missing valuesMissing
업태구분명 has 5134 (100.0%) missing valuesMissing
좌표정보(x) has 3003 (58.5%) missing valuesMissing
좌표정보(y) has 3003 (58.5%) missing valuesMissing
소재지 has 2742 (53.4%) missing valuesMissing
지정일자 has 4466 (87.0%) missing valuesMissing
신청일자 has 2225 (43.3%) missing valuesMissing
Unnamed: 33 has 5134 (100.0%) missing valuesMissing
소재지우편번호 is highly skewed (γ1 = -31.95031969)Skewed
신청일자 is highly skewed (γ1 = 26.34901581)Skewed
번호 has unique valuesUnique
관리번호 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 33 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-17 23:31:40.862727
Analysis finished2024-04-17 23:31:42.170648
Duration1.31 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct5134
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2567.5
Minimum1
Maximum5134
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size45.3 KiB
2024-04-18T08:31:42.231438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile257.65
Q11284.25
median2567.5
Q33850.75
95-th percentile4877.35
Maximum5134
Range5133
Interquartile range (IQR)2566.5

Descriptive statistics

Standard deviation1482.2025
Coefficient of variation (CV)0.57729405
Kurtosis-1.2
Mean2567.5
Median Absolute Deviation (MAD)1283.5
Skewness0
Sum13181545
Variance2196924.2
MonotonicityStrictly increasing
2024-04-18T08:31:42.371651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
3531 1
 
< 0.1%
3429 1
 
< 0.1%
3428 1
 
< 0.1%
3427 1
 
< 0.1%
3426 1
 
< 0.1%
3425 1
 
< 0.1%
3424 1
 
< 0.1%
3423 1
 
< 0.1%
3422 1
 
< 0.1%
Other values (5124) 5124
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 (%)
5134 1
< 0.1%
5133 1
< 0.1%
5132 1
< 0.1%
5131 1
< 0.1%
5130 1
< 0.1%
5129 1
< 0.1%
5128 1
< 0.1%
5127 1
< 0.1%
5126 1
< 0.1%
5125 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size40.2 KiB
쓰레기종량제봉투판매업
5134 

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 5134
100.0%

Length

2024-04-18T08:31:42.486147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T08:31:42.579334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
쓰레기종량제봉투판매업 5134
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size40.2 KiB
09_30_13_P
5134 

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 5134
100.0%

Length

2024-04-18T08:31:42.681741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T08:31:42.768819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
09_30_13_p 5134
100.0%

개방자치단체코드
Real number (ℝ)

Distinct13
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3322820.4
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size45.3 KiB
2024-04-18T08:31:42.843977image/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 deviation49963.089
Coefficient of variation (CV)0.015036349
Kurtosis-1.4405395
Mean3322820.4
Median Absolute Deviation (MAD)40000
Skewness0.2514959
Sum1.705936 × 1010
Variance2.4963102 × 109
MonotonicityIncreasing
2024-04-18T08:31:42.948109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
3390000 779
15.2%
3270000 751
14.6%
3380000 544
10.6%
3310000 506
9.9%
3280000 465
9.1%
3290000 431
8.4%
3300000 368
7.2%
3250000 367
7.1%
3330000 326
6.3%
3400000 269
 
5.2%
Other values (3) 328
6.4%
ValueCountFrequency (%)
3250000 367
7.1%
3270000 751
14.6%
3280000 465
9.1%
3290000 431
8.4%
3300000 368
7.2%
3310000 506
9.9%
3330000 326
6.3%
3340000 162
 
3.2%
3350000 16
 
0.3%
3360000 150
 
2.9%
ValueCountFrequency (%)
3400000 269
 
5.2%
3390000 779
15.2%
3380000 544
10.6%
3360000 150
 
2.9%
3350000 16
 
0.3%
3340000 162
 
3.2%
3330000 326
6.3%
3310000 506
9.9%
3300000 368
7.2%
3290000 431
8.4%

관리번호
Real number (ℝ)

UNIQUE 

Distinct5134
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.3228206 × 1017
Minimum3.2500001 × 1017
Maximum3.4000001 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size45.3 KiB
2024-04-18T08:31:43.074083image/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 deviation4.9963089 × 1015
Coefficient of variation (CV)0.015036349
Kurtosis-1.4405395
Mean3.3228206 × 1017
Median Absolute Deviation (MAD)4 × 1015
Skewness0.2514959
Sum8.8356181 × 1018
Variance2.4963102 × 1031
MonotonicityNot monotonic
2024-04-18T08:31:43.221433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
325000014201800012 1
 
< 0.1%
336000014199400023 1
 
< 0.1%
336000014199500058 1
 
< 0.1%
336000014199500057 1
 
< 0.1%
336000014199500064 1
 
< 0.1%
336000014199500063 1
 
< 0.1%
336000014199500062 1
 
< 0.1%
336000014199500061 1
 
< 0.1%
336000014199500060 1
 
< 0.1%
336000014199500059 1
 
< 0.1%
Other values (5124) 5124
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)

Distinct1194
Distinct (%)23.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19237917
Minimum1994
Maximum20211125
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size45.3 KiB
2024-04-18T08:31:43.380397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1994
5-th percentile19941201
Q119950301
median19981001
Q320010102
95-th percentile20100421
Maximum20211125
Range20209131
Interquartile range (IQR)59801

Descriptive statistics

Standard deviation3791637.2
Coefficient of variation (CV)0.19709188
Kurtosis21.383317
Mean19237917
Median Absolute Deviation (MAD)30700
Skewness-4.8342454
Sum9.8767468 × 1010
Variance1.4376513 × 1013
MonotonicityNot monotonic
2024-04-18T08:31:43.510286image/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
 
6.8%
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 (1184) 2371
46.2%
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 (%)
20211125 1
< 0.1%
20211027 1
< 0.1%
20210929 1
< 0.1%
20210928 1
< 0.1%
20210826 1
< 0.1%
20210825 1
< 0.1%
20210714 1
< 0.1%
20210625 1
< 0.1%
20210622 1
< 0.1%
20210527 1
< 0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5134
Missing (%)100.0%
Memory size45.3 KiB

영업상태구분코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size40.2 KiB
1
4589 
3
544 
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 4589
89.4%
3 544
 
10.6%
2 1
 
< 0.1%

Length

2024-04-18T08:31:43.629376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T08:31:43.713977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 4589
89.4%
3 544
 
10.6%
2 1
 
< 0.1%

영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size40.2 KiB
영업/정상
4589 
폐업
544 
휴업
 
1

Length

Max length5
Median length5
Mean length4.6815349
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 4589
89.4%
폐업 544
 
10.6%
휴업 1
 
< 0.1%

Length

2024-04-18T08:31:43.809044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T08:31:43.909714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 4589
89.4%
폐업 544
 
10.6%
휴업 1
 
< 0.1%

상세영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size40.2 KiB
11
4589 
2
544 
1
 
1

Length

Max length2
Median length2
Mean length1.893845
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
11 4589
89.4%
2 544
 
10.6%
1 1
 
< 0.1%

Length

2024-04-18T08:31:44.027046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T08:31:44.117747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11 4589
89.4%
2 544
 
10.6%
1 1
 
< 0.1%

상세영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size40.2 KiB
영업
4589 
폐업
544 
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 4589
89.4%
폐업 544
 
10.6%
휴업 1
 
< 0.1%

Length

2024-04-18T08:31:44.208616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T08:31:44.294769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 4589
89.4%
폐업 544
 
10.6%
휴업 1
 
< 0.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct51
Distinct (%)9.4%
Missing4591
Missing (%)89.4%
Infinite0
Infinite (%)0.0%
Mean20075990
Minimum20001011
Maximum20210506
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size45.3 KiB
2024-04-18T08:31:44.401593image/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 deviation23657.26
Coefficient of variation (CV)0.0011783857
Kurtosis10.175283
Mean20075990
Median Absolute Deviation (MAD)0
Skewness1.6002771
Sum1.0901263 × 1010
Variance5.5966594 × 108
MonotonicityNot monotonic
2024-04-18T08:31:44.532752image/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 (41) 45
 
0.9%
(Missing) 4591
89.4%
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%
20160803 1
< 0.1%
20140211 1
< 0.1%
20140120 2
< 0.1%

휴업시작일자
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)6.0%
Missing4620
Missing (%)90.0%
Infinite0
Infinite (%)0.0%
Mean20077279
Minimum20000101
Maximum20191111
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size45.3 KiB
2024-04-18T08:31:44.650014image/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
2024-04-18T08:31:45.453731image/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%
20081221 1
 
< 0.1%
20100506 1
 
< 0.1%
20131022 1
 
< 0.1%
Other values (21) 21
 
0.4%
(Missing) 4620
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 

Missing5134
Missing (%)100.0%
Memory size45.3 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5134
Missing (%)100.0%
Memory size45.3 KiB

소재지전화
Text

MISSING 

Distinct1606
Distinct (%)95.6%
Missing3454
Missing (%)67.3%
Memory size40.2 KiB
2024-04-18T08:31:45.674771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.648214
Min length7

Characters and Unicode

Total characters17889
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

Unique1547 ?
Unique (%)92.1%

Sample

1st row051-248-8106
2nd row0514667980
3rd row0512546667
4th row0512469329
5th row0512455251
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 (1626) 1745
54.8%
2024-04-18T08:31:46.008470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 2907
16.3%
5 2599
14.5%
0 2517
14.1%
4 1690
9.4%
1513
8.5%
3 1409
7.9%
2 1358
7.6%
6 1244
7.0%
7 1013
 
5.7%
8 929
 
5.2%
Other values (2) 710
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 16296
91.1%
Space Separator 1513
 
8.5%
Dash Punctuation 80
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 2907
17.8%
5 2599
15.9%
0 2517
15.4%
4 1690
10.4%
3 1409
8.6%
2 1358
8.3%
6 1244
7.6%
7 1013
 
6.2%
8 929
 
5.7%
9 630
 
3.9%
Space Separator
ValueCountFrequency (%)
1513
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 80
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 17889
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 2907
16.3%
5 2599
14.5%
0 2517
14.1%
4 1690
9.4%
1513
8.5%
3 1409
7.9%
2 1358
7.6%
6 1244
7.0%
7 1013
 
5.7%
8 929
 
5.2%
Other values (2) 710
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 17889
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 2907
16.3%
5 2599
14.5%
0 2517
14.1%
4 1690
9.4%
1513
8.5%
3 1409
7.9%
2 1358
7.6%
6 1244
7.0%
7 1013
 
5.7%
8 929
 
5.2%
Other values (2) 710
 
4.0%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5134
Missing (%)100.0%
Memory size45.3 KiB

소재지우편번호
Real number (ℝ)

MISSING  SKEWED 

Distinct422
Distinct (%)8.5%
Missing153
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean609664.89
Minimum1
Maximum619963
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size45.3 KiB
2024-04-18T08:31:46.137340image/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
2024-04-18T08:31:46.258239image/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
85.9%
(Missing) 153
 
3.0%
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
0.4%

소재지전체주소
Text

MISSING 

Distinct4583
Distinct (%)90.3%
Missing61
Missing (%)1.2%
Memory size40.2 KiB
2024-04-18T08:31:46.592710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length45
Mean length24.355214
Min length14

Characters and Unicode

Total characters123554
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

Unique4211 ?
Unique (%)83.0%

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 5073
 
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 (4732) 13898
54.2%
2024-04-18T08:31:47.067973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
24422
19.8%
동 6186
 
5.0%
1 5810
 
4.7%
부 5667
 
4.6%
산 5567
 
4.5%
광 5402
 
4.4%
시 5089
 
4.1%
역 5076
 
4.1%
지 5040
 
4.1%
번 4958
 
4.0%
Other values (260) 50337
40.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 69658
56.4%
Decimal Number 25131
 
20.3%
Space Separator 24422
 
19.8%
Dash Punctuation 4245
 
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 6186
 
8.9%
부 5667
 
8.1%
산 5567
 
8.0%
광 5402
 
7.8%
시 5089
 
7.3%
역 5076
 
7.3%
지 5040
 
7.2%
번 4958
 
7.1%
구 4825
 
6.9%
영 1199
 
1.7%
Other values (224) 20649
29.6%
Uppercase Letter
ValueCountFrequency (%)
A 18
40.0%
B 14
31.1%
O 2
 
4.4%
T 2
 
4.4%
D 1
 
2.2%
C 1
 
2.2%
S 1
 
2.2%
W 1
 
2.2%
E 1
 
2.2%
P 1
 
2.2%
Other values (3) 3
 
6.7%
Decimal Number
ValueCountFrequency (%)
1 5810
23.1%
2 3264
13.0%
3 2684
10.7%
4 2469
9.8%
5 2347
9.3%
6 1847
 
7.3%
7 1784
 
7.1%
0 1747
 
7.0%
8 1657
 
6.6%
9 1522
 
6.1%
Other Punctuation
ValueCountFrequency (%)
, 20
47.6%
@ 12
28.6%
/ 9
21.4%
' 1
 
2.4%
Lowercase Letter
ValueCountFrequency (%)
a 2
40.0%
k 1
20.0%
e 1
20.0%
r 1
20.0%
Space Separator
ValueCountFrequency (%)
24422
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4245
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 69658
56.4%
Common 53846
43.6%
Latin 50
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 6186
 
8.9%
부 5667
 
8.1%
산 5567
 
8.0%
광 5402
 
7.8%
시 5089
 
7.3%
역 5076
 
7.3%
지 5040
 
7.2%
번 4958
 
7.1%
구 4825
 
6.9%
영 1199
 
1.7%
Other values (224) 20649
29.6%
Common
ValueCountFrequency (%)
24422
45.4%
1 5810
 
10.8%
- 4245
 
7.9%
2 3264
 
6.1%
3 2684
 
5.0%
4 2469
 
4.6%
5 2347
 
4.4%
6 1847
 
3.4%
7 1784
 
3.3%
0 1747
 
3.2%
Other values (9) 3227
 
6.0%
Latin
ValueCountFrequency (%)
A 18
36.0%
B 14
28.0%
O 2
 
4.0%
T 2
 
4.0%
a 2
 
4.0%
k 1
 
2.0%
e 1
 
2.0%
D 1
 
2.0%
C 1
 
2.0%
S 1
 
2.0%
Other values (7) 7
 
14.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 69658
56.4%
ASCII 53896
43.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
24422
45.3%
1 5810
 
10.8%
- 4245
 
7.9%
2 3264
 
6.1%
3 2684
 
5.0%
4 2469
 
4.6%
5 2347
 
4.4%
6 1847
 
3.4%
7 1784
 
3.3%
0 1747
 
3.2%
Other values (26) 3277
 
6.1%
Hangul
ValueCountFrequency (%)
동 6186
 
8.9%
부 5667
 
8.1%
산 5567
 
8.0%
광 5402
 
7.8%
시 5089
 
7.3%
역 5076
 
7.3%
지 5040
 
7.2%
번 4958
 
7.1%
구 4825
 
6.9%
영 1199
 
1.7%
Other values (224) 20649
29.6%

도로명전체주소
Text

MISSING 

Distinct1589
Distinct (%)93.4%
Missing3432
Missing (%)66.8%
Memory size40.2 KiB
2024-04-18T08:31:47.409809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length49
Mean length26.886604
Min length19

Characters and Unicode

Total characters45761
Distinct characters280
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

Unique1496 ?
Unique (%)87.9%

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 1702
 
19.5%
사상구 468
 
5.4%
남구 424
 
4.9%
중구 213
 
2.4%
대연동 160
 
1.8%
사하구 140
 
1.6%
기장군 136
 
1.6%
문현동 106
 
1.2%
용호동 102
 
1.2%
주례동 94
 
1.1%
Other values (1652) 5177
59.4%
2024-04-18T08:31:47.887120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8189
 
17.9%
동 1959
 
4.3%
광 1861
 
4.1%
부 1809
 
4.0%
산 1794
 
3.9%
시 1729
 
3.8%
역 1703
 
3.7%
구 1613
 
3.5%
로 1589
 
3.5%
( 1577
 
3.4%
Other values (270) 21938
47.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 26992
59.0%
Space Separator 8189
 
17.9%
Decimal Number 6861
 
15.0%
Open Punctuation 1577
 
3.4%
Close Punctuation 1577
 
3.4%
Dash Punctuation 307
 
0.7%
Other Punctuation 236
 
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 1959
 
7.3%
광 1861
 
6.9%
부 1809
 
6.7%
산 1794
 
6.6%
시 1729
 
6.4%
역 1703
 
6.3%
구 1613
 
6.0%
로 1589
 
5.9%
길 967
 
3.6%
번 889
 
3.3%
Other values (246) 11079
41.0%
Decimal Number
ValueCountFrequency (%)
1 1524
22.2%
2 942
13.7%
3 813
11.8%
4 697
10.2%
6 529
 
7.7%
0 526
 
7.7%
5 523
 
7.6%
7 461
 
6.7%
9 459
 
6.7%
8 387
 
5.6%
Uppercase Letter
ValueCountFrequency (%)
B 10
55.6%
A 4
 
22.2%
C 1
 
5.6%
D 1
 
5.6%
E 1
 
5.6%
W 1
 
5.6%
Other Punctuation
ValueCountFrequency (%)
, 227
96.2%
@ 9
 
3.8%
Space Separator
ValueCountFrequency (%)
8189
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1577
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1577
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 26992
59.0%
Common 18750
41.0%
Latin 19
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1959
 
7.3%
광 1861
 
6.9%
부 1809
 
6.7%
산 1794
 
6.6%
시 1729
 
6.4%
역 1703
 
6.3%
구 1613
 
6.0%
로 1589
 
5.9%
길 967
 
3.6%
번 889
 
3.3%
Other values (246) 11079
41.0%
Common
ValueCountFrequency (%)
8189
43.7%
( 1577
 
8.4%
) 1577
 
8.4%
1 1524
 
8.1%
2 942
 
5.0%
3 813
 
4.3%
4 697
 
3.7%
6 529
 
2.8%
0 526
 
2.8%
5 523
 
2.8%
Other values (7) 1853
 
9.9%
Latin
ValueCountFrequency (%)
B 10
52.6%
A 4
 
21.1%
a 1
 
5.3%
C 1
 
5.3%
D 1
 
5.3%
E 1
 
5.3%
W 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 26992
59.0%
ASCII 18769
41.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8189
43.6%
( 1577
 
8.4%
) 1577
 
8.4%
1 1524
 
8.1%
2 942
 
5.0%
3 813
 
4.3%
4 697
 
3.7%
6 529
 
2.8%
0 526
 
2.8%
5 523
 
2.8%
Other values (14) 1872
 
10.0%
Hangul
ValueCountFrequency (%)
동 1959
 
7.3%
광 1861
 
6.9%
부 1809
 
6.7%
산 1794
 
6.6%
시 1729
 
6.4%
역 1703
 
6.3%
구 1613
 
6.0%
로 1589
 
5.9%
길 967
 
3.6%
번 889
 
3.3%
Other values (246) 11079
41.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct165
Distinct (%)38.4%
Missing4704
Missing (%)91.6%
Infinite0
Infinite (%)0.0%
Mean484790.23
Minimum46080
Maximum619963
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size45.3 KiB
2024-04-18T08:31:48.039602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46080
5-th percentile48929.9
Q1600044.25
median617806
Q3617833
95-th percentile619906
Maximum619963
Range573883
Interquartile range (IQR)17788.75

Descriptive statistics

Standard deviation238744.55
Coefficient of variation (CV)0.49246981
Kurtosis-0.34981824
Mean484790.23
Median Absolute Deviation (MAD)1991
Skewness-1.2839202
Sum2.084598 × 108
Variance5.6998962 × 1010
MonotonicityNot monotonic
2024-04-18T08:31:48.185952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
619903 19
 
0.4%
617818 11
 
0.2%
617800 10
 
0.2%
617802 10
 
0.2%
617833 10
 
0.2%
600110 9
 
0.2%
617841 9
 
0.2%
617807 8
 
0.2%
617836 8
 
0.2%
48953 8
 
0.2%
Other values (155) 328
 
6.4%
(Missing) 4704
91.6%
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 4
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

Distinct3226
Distinct (%)62.8%
Missing0
Missing (%)0.0%
Memory size40.2 KiB
2024-04-18T08:31:48.446440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length4
Mean length5.077912
Min length1

Characters and Unicode

Total characters26070
Distinct characters549
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

Unique2515 ?
Unique (%)49.0%

Sample

1st row세븐일레븐 부산코모도점
2nd row자갈치 탑마트
3rd rowGS25 부산터널점
4th row봉래슈퍼마켓
5th row경북상회
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%
슈퍼마켙 25
 
0.4%
서원유통 25
 
0.4%
Other values (3277) 5233
92.5%
2024-04-18T08:31:48.837217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
퍼 2003
 
7.7%
슈 1753
 
6.7%
상 1019
 
3.9%
회 961
 
3.7%
마 891
 
3.4%
트 771
 
3.0%
점 577
 
2.2%
527
 
2.0%
대 388
 
1.5%
동 366
 
1.4%
Other values (539) 16814
64.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24328
93.3%
Space Separator 527
 
2.0%
Decimal Number 465
 
1.8%
Uppercase Letter 378
 
1.4%
Open Punctuation 153
 
0.6%
Close Punctuation 153
 
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) 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
퍼 2003
 
8.2%
슈 1753
 
7.2%
상 1019
 
4.2%
회 961
 
4.0%
마 891
 
3.7%
트 771
 
3.2%
점 577
 
2.4%
대 388
 
1.6%
동 366
 
1.5%
수 362
 
1.5%
Other values (483) 15237
62.6%
Uppercase Letter
ValueCountFrequency (%)
G 112
29.6%
S 79
20.9%
L 46
12.2%
C 31
 
8.2%
A 16
 
4.2%
K 13
 
3.4%
P 12
 
3.2%
T 11
 
2.9%
M 10
 
2.6%
J 9
 
2.4%
Other values (12) 39
 
10.3%
Lowercase Letter
ValueCountFrequency (%)
i 8
21.1%
n 6
15.8%
g 4
10.5%
s 3
 
7.9%
o 3
 
7.9%
e 3
 
7.9%
k 2
 
5.3%
c 2
 
5.3%
l 1
 
2.6%
u 1
 
2.6%
Other values (5) 5
13.2%
Decimal Number
ValueCountFrequency (%)
2 202
43.4%
5 147
31.6%
4 37
 
8.0%
1 28
 
6.0%
3 19
 
4.1%
0 10
 
2.2%
8 10
 
2.2%
6 7
 
1.5%
7 5
 
1.1%
Other Punctuation
ValueCountFrequency (%)
. 7
63.6%
& 3
27.3%
, 1
 
9.1%
Space Separator
ValueCountFrequency (%)
527
100.0%
Open Punctuation
ValueCountFrequency (%)
( 153
100.0%
Close Punctuation
ValueCountFrequency (%)
) 153
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 24330
93.3%
Common 1324
 
5.1%
Latin 416
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
퍼 2003
 
8.2%
슈 1753
 
7.2%
상 1019
 
4.2%
회 961
 
3.9%
마 891
 
3.7%
트 771
 
3.2%
점 577
 
2.4%
대 388
 
1.6%
동 366
 
1.5%
수 362
 
1.5%
Other values (484) 15239
62.6%
Latin
ValueCountFrequency (%)
G 112
26.9%
S 79
19.0%
L 46
11.1%
C 31
 
7.5%
A 16
 
3.8%
K 13
 
3.1%
P 12
 
2.9%
T 11
 
2.6%
M 10
 
2.4%
J 9
 
2.2%
Other values (27) 77
18.5%
Common
ValueCountFrequency (%)
527
39.8%
2 202
 
15.3%
( 153
 
11.6%
) 153
 
11.6%
5 147
 
11.1%
4 37
 
2.8%
1 28
 
2.1%
3 19
 
1.4%
- 12
 
0.9%
0 10
 
0.8%
Other values (8) 36
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24328
93.3%
ASCII 1740
 
6.7%
None 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
퍼 2003
 
8.2%
슈 1753
 
7.2%
상 1019
 
4.2%
회 961
 
4.0%
마 891
 
3.7%
트 771
 
3.2%
점 577
 
2.4%
대 388
 
1.6%
동 366
 
1.5%
수 362
 
1.5%
Other values (483) 15237
62.6%
ASCII
ValueCountFrequency (%)
527
30.3%
2 202
 
11.6%
( 153
 
8.8%
) 153
 
8.8%
5 147
 
8.4%
G 112
 
6.4%
S 79
 
4.5%
L 46
 
2.6%
4 37
 
2.1%
C 31
 
1.8%
Other values (45) 253
14.5%
None
ValueCountFrequency (%)
㈜ 2
100.0%

최종수정시점
Real number (ℝ)

Distinct1511
Distinct (%)29.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.008512 × 1013
Minimum2.0070707 × 1013
Maximum2.0211129 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size45.3 KiB
2024-04-18T08:31:48.967659image/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
Maximum2.0211129 × 1013
Range1.4042207 × 1011
Interquartile range (IQR)1.9897066 × 1010

Descriptive statistics

Standard deviation2.8866192 × 1010
Coefficient of variation (CV)0.0014371929
Kurtosis5.0486688
Mean2.008512 × 1013
Median Absolute Deviation (MAD)6998295
Skewness2.3027385
Sum1.0311701 × 1017
Variance8.3325704 × 1020
MonotonicityNot monotonic
2024-04-18T08:31:49.100812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20070721103731 748
14.6%
20070721105746 512
 
10.0%
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 (1501) 1517
29.5%
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
14.6%
ValueCountFrequency (%)
20211129163049 1
< 0.1%
20211125033303 1
< 0.1%
20211112175101 1
< 0.1%
20211027103133 1
< 0.1%
20211022141919 1
< 0.1%
20210929153127 1
< 0.1%
20210928123147 1
< 0.1%
20210830095525 1
< 0.1%
20210826131952 1
< 0.1%
20210825104018 1
< 0.1%

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size40.2 KiB
I
5062 
U
 
72

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 5062
98.6%
U 72
 
1.4%

Length

2024-04-18T08:31:49.217911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T08:31:49.302036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 5062
98.6%
u 72
 
1.4%

데이터갱신일자
Date

Distinct76
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size40.2 KiB
Minimum2018-08-31 23:59:59
Maximum2021-12-01 02:40:00
2024-04-18T08:31:49.411489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T08:31:49.567564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5134
Missing (%)100.0%
Memory size45.3 KiB

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct1918
Distinct (%)90.0%
Missing3003
Missing (%)58.5%
Infinite0
Infinite (%)0.0%
Mean387960.92
Minimum370283.36
Maximum408017.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size45.3 KiB
2024-04-18T08:31:49.696025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum370283.36
5-th percentile379671.93
Q1381831.76
median387427.03
Q3392520.65
95-th percentile401451.77
Maximum408017.33
Range37733.969
Interquartile range (IQR)10688.888

Descriptive statistics

Standard deviation6488.5861
Coefficient of variation (CV)0.016724845
Kurtosis-0.12750122
Mean387960.92
Median Absolute Deviation (MAD)5231.6431
Skewness0.55422091
Sum8.2674472 × 108
Variance42101750
MonotonicityNot monotonic
2024-04-18T08:31:49.831323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
385558.912351386 5
 
0.1%
385575.10426651 5
 
0.1%
379554.826788136 5
 
0.1%
385230.605157267 5
 
0.1%
386296.184967112 4
 
0.1%
388577.664510255 4
 
0.1%
381345.772891816 4
 
0.1%
373499.123572408 4
 
0.1%
385570.015221682 4
 
0.1%
390195.849928239 4
 
0.1%
Other values (1908) 2087
40.7%
(Missing) 3003
58.5%
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 

Distinct1918
Distinct (%)90.0%
Missing3003
Missing (%)58.5%
Infinite0
Infinite (%)0.0%
Mean185755.47
Minimum173895.66
Maximum210111.94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size45.3 KiB
2024-04-18T08:31:49.962302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum173895.66
5-th percentile178643.39
Q1181630.47
median184622
Q3188999.35
95-th percentile196004.9
Maximum210111.94
Range36216.281
Interquartile range (IQR)7368.875

Descriptive statistics

Standard deviation5738.0915
Coefficient of variation (CV)0.030890565
Kurtosis1.1733138
Mean185755.47
Median Absolute Deviation (MAD)3446.3878
Skewness1.0003828
Sum3.9584491 × 108
Variance32925694
MonotonicityNot monotonic
2024-04-18T08:31:50.098566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
182474.551700716 5
 
0.1%
185788.555761076 5
 
0.1%
184301.128962735 5
 
0.1%
181026.921498134 5
 
0.1%
182709.735940952 4
 
0.1%
178279.998453376 4
 
0.1%
189447.844867645 4
 
0.1%
181704.648037251 4
 
0.1%
187424.7082035 4
 
0.1%
183602.493480869 4
 
0.1%
Other values (1908) 2087
40.7%
(Missing) 3003
58.5%
ValueCountFrequency (%)
173895.655729558 1
 
< 0.1%
174087.295724335 1
 
< 0.1%
174140.916066183 3
0.1%
174581.422989481 1
 
< 0.1%
174641.982653379 1
 
< 0.1%
174726.119275798 1
 
< 0.1%
174811.513941031 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 size40.2 KiB
지정
2588 
<NA>
2175 
종료
371 

Length

Max length4
Median length2
Mean length2.8472926
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
지정 2588
50.4%
<NA> 2175
42.4%
종료 371
 
7.2%

Length

2024-04-18T08:31:50.242903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T08:31:50.356076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지정 2588
50.4%
na 2175
42.4%
종료 371
 
7.2%

소재지
Text

MISSING 

Distinct2101
Distinct (%)87.8%
Missing2742
Missing (%)53.4%
Memory size40.2 KiB
2024-04-18T08:31:50.656672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length36
Mean length11.23913
Min length2

Characters and Unicode

Total characters26884
Distinct characters208
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

Unique1984 ?
Unique (%)82.9%

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 624
 
11.6%
사상구 296
 
5.5%
중구 293
 
5.4%
1호 80
 
1.5%
호 68
 
1.3%
영주동 55
 
1.0%
괘법동 51
 
0.9%
대라리 46
 
0.9%
2호 38
 
0.7%
감전동 35
 
0.6%
Other values (2231) 3800
70.6%
2024-04-18T08:31:51.194720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3295
 
12.3%
1 2443
 
9.1%
2 1467
 
5.5%
- 1410
 
5.2%
3 1098
 
4.1%
동 1047
 
3.9%
5 999
 
3.7%
4 934
 
3.5%
지 798
 
3.0%
번 785
 
2.9%
Other values (198) 12608
46.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11314
42.1%
Decimal Number 10654
39.6%
Space Separator 3295
 
12.3%
Dash Punctuation 1410
 
5.2%
Other Punctuation 111
 
0.4%
Open Punctuation 41
 
0.2%
Close Punctuation 41
 
0.2%
Uppercase Letter 15
 
0.1%
Math Symbol 1
 
< 0.1%
Modifier Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1047
 
9.3%
지 798
 
7.1%
번 785
 
6.9%
부 701
 
6.2%
광 669
 
5.9%
산 650
 
5.7%
구 646
 
5.7%
시 636
 
5.6%
역 628
 
5.6%
호 598
 
5.3%
Other values (175) 4156
36.7%
Decimal Number
ValueCountFrequency (%)
1 2443
22.9%
2 1467
13.8%
3 1098
10.3%
5 999
9.4%
4 934
 
8.8%
0 783
 
7.3%
6 769
 
7.2%
7 766
 
7.2%
8 710
 
6.7%
9 685
 
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 (%)
3295
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1410
100.0%
Open Punctuation
ValueCountFrequency (%)
( 41
100.0%
Close Punctuation
ValueCountFrequency (%)
) 41
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
a 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 15554
57.9%
Hangul 11314
42.1%
Latin 16
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1047
 
9.3%
지 798
 
7.1%
번 785
 
6.9%
부 701
 
6.2%
광 669
 
5.9%
산 650
 
5.7%
구 646
 
5.7%
시 636
 
5.6%
역 628
 
5.6%
호 598
 
5.3%
Other values (175) 4156
36.7%
Common
ValueCountFrequency (%)
3295
21.2%
1 2443
15.7%
2 1467
9.4%
- 1410
9.1%
3 1098
 
7.1%
5 999
 
6.4%
4 934
 
6.0%
0 783
 
5.0%
6 769
 
4.9%
7 766
 
4.9%
Other values (9) 1590
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 15570
57.9%
Hangul 11313
42.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3295
21.2%
1 2443
15.7%
2 1467
9.4%
- 1410
9.1%
3 1098
 
7.1%
5 999
 
6.4%
4 934
 
6.0%
0 783
 
5.0%
6 769
 
4.9%
7 766
 
4.9%
Other values (13) 1606
10.3%
Hangul
ValueCountFrequency (%)
동 1047
 
9.3%
지 798
 
7.1%
번 785
 
6.9%
부 701
 
6.2%
광 669
 
5.9%
산 650
 
5.7%
구 646
 
5.7%
시 636
 
5.6%
역 628
 
5.6%
호 598
 
5.3%
Other values (174) 4155
36.7%
Compat Jamo
ValueCountFrequency (%)
ㄴ 1
100.0%

지정일자
Real number (ℝ)

MISSING 

Distinct325
Distinct (%)48.7%
Missing4466
Missing (%)87.0%
Infinite0
Infinite (%)0.0%
Mean20048152
Minimum19950301
Maximum20211125
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size45.3 KiB
2024-04-18T08:31:51.339827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19950301
5-th percentile19950301
Q119950301
median20090422
Q320110308
95-th percentile20196990
Maximum20211125
Range260824
Interquartile range (IQR)160007

Descriptive statistics

Standard deviation89097.604
Coefficient of variation (CV)0.0044441804
Kurtosis-1.4664047
Mean20048152
Median Absolute Deviation (MAD)89684.5
Skewness0.065401382
Sum1.3392165 × 1010
Variance7.938383 × 109
MonotonicityNot monotonic
2024-04-18T08:31:51.479785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19950301 283
 
5.5%
20110308 4
 
0.1%
20110421 3
 
0.1%
20100316 3
 
0.1%
20100525 3
 
0.1%
20110504 3
 
0.1%
20090914 3
 
0.1%
20110523 3
 
0.1%
20090102 3
 
0.1%
20091105 2
 
< 0.1%
Other values (315) 358
 
7.0%
(Missing) 4466
87.0%
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 (%)
20211125 1
< 0.1%
20211027 1
< 0.1%
20211022 1
< 0.1%
20210929 1
< 0.1%
20210928 1
< 0.1%
20210830 1
< 0.1%
20210826 1
< 0.1%
20210825 1
< 0.1%
20210812 1
< 0.1%
20210720 1
< 0.1%

신청일자
Real number (ℝ)

MISSING  SKEWED 

Distinct695
Distinct (%)23.9%
Missing2225
Missing (%)43.3%
Infinite0
Infinite (%)0.0%
Mean19994287
Minimum1995010
Maximum50000504
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size45.3 KiB
2024-04-18T08:31:51.629003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1995010
5-th percentile19950101
Q119950301
median19960308
Q320010102
95-th percentile20110523
Maximum50000504
Range48005494
Interquartile range (IQR)59801

Descriptive statistics

Standard deviation651623.72
Coefficient of variation (CV)0.032590496
Kurtosis1746.9832
Mean19994287
Median Absolute Deviation (MAD)10207
Skewness26.349016
Sum5.8163381 × 1010
Variance4.2461347 × 1011
MonotonicityNot monotonic
2024-04-18T08:31:51.774915image/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 (685) 1024
19.9%
(Missing) 2225
43.3%
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%
20211124 1
< 0.1%
20211027 1
< 0.1%
20211022 1
< 0.1%
20210928 2
< 0.1%
20210830 1
< 0.1%
20210826 1
< 0.1%
20210825 1
< 0.1%
20210812 1
< 0.1%
20210720 1
< 0.1%

항목값1
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size40.2 KiB
관급봉투
5134 

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 5134
100.0%

Length

2024-04-18T08:31:51.909724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T08:31:52.023924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
관급봉투 5134
100.0%

Unnamed: 33
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5134
Missing (%)100.0%
Memory size45.3 KiB

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(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>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)업소구분명소재지지정일자신청일자항목값1Unnamed: 33
51245125쓰레기종량제봉투판매업09_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>
51255126쓰레기종량제봉투판매업09_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>
51265127쓰레기종량제봉투판매업09_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>
51275128쓰레기종량제봉투판매업09_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>
51285129쓰레기종량제봉투판매업09_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>
51295130쓰레기종량제봉투판매업09_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>
51305131쓰레기종량제봉투판매업09_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>
51315132쓰레기종량제봉투판매업09_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>
51325133쓰레기종량제봉투판매업09_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>
51335134쓰레기종량제봉투판매업09_30_13_P340000034000001419960015819960308<NA>3폐업2폐업2010011120100111<NA><NA><NA><NA>619962부산광역시 기장군 정관읍 모전리 175번지<NA><NA>모전구판장20140109101625I2018-08-31 23:59:59.0<NA><NA><NA>지정모전리 175번지<NA>19960308관급봉투<NA>