Overview

Dataset statistics

Number of variables31
Number of observations10000
Missing cells97366
Missing cells (%)31.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.6 MiB
Average record size in memory273.0 B

Variable types

Numeric12
Categorical7
Text7
Unsupported4
DateTime1

Dataset

Description2021-05-01
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20230901050101123183

Alerts

개방서비스명 has constant value ""Constant
개방서비스id has constant value ""Constant
상세영업상태명 is highly imbalanced (55.5%)Imbalance
인허가취소일자 has 9335 (93.3%) missing valuesMissing
폐업일자 has 3317 (33.2%) missing valuesMissing
휴업시작일자 has 9861 (98.6%) missing valuesMissing
휴업종료일자 has 9862 (98.6%) missing valuesMissing
재개업일자 has 10000 (100.0%) missing valuesMissing
소재지전화 has 3626 (36.3%) missing valuesMissing
소재지면적 has 10000 (100.0%) missing valuesMissing
소재지우편번호 has 7410 (74.1%) missing valuesMissing
소재지전체주소 has 765 (7.6%) missing valuesMissing
도로명전체주소 has 1682 (16.8%) missing valuesMissing
도로명우편번호 has 6519 (65.2%) missing valuesMissing
업태구분명 has 10000 (100.0%) missing valuesMissing
좌표정보(x) has 1243 (12.4%) missing valuesMissing
좌표정보(y) has 1243 (12.4%) missing valuesMissing
지정일자 has 2500 (25.0%) missing valuesMissing
Unnamed: 30 has 10000 (100.0%) missing valuesMissing
번호 has unique valuesUnique
관리번호 has unique valuesUnique
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: 30 is an unsupported type, check if it needs cleaning or further analysisUnsupported
상세영업상태코드 has 2620 (26.2%) zerosZeros

Reproduction

Analysis started2024-04-16 05:43:15.611001
Analysis finished2024-04-16 05:43:17.534838
Duration1.92 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14083.009
Minimum1
Maximum28082
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-16T14:43:17.587863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1358.95
Q16975.75
median14071
Q321223.5
95-th percentile26743.05
Maximum28082
Range28081
Interquartile range (IQR)14247.75

Descriptive statistics

Standard deviation8161.9764
Coefficient of variation (CV)0.57956195
Kurtosis-1.2190537
Mean14083.009
Median Absolute Deviation (MAD)7119.5
Skewness-0.0011777016
Sum1.4083009 × 108
Variance66617859
MonotonicityNot monotonic
2024-04-16T14:43:17.699031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18256 1
 
< 0.1%
22012 1
 
< 0.1%
1397 1
 
< 0.1%
15231 1
 
< 0.1%
2405 1
 
< 0.1%
9271 1
 
< 0.1%
12100 1
 
< 0.1%
12513 1
 
< 0.1%
13230 1
 
< 0.1%
20323 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
1 1
< 0.1%
6 1
< 0.1%
8 1
< 0.1%
14 1
< 0.1%
15 1
< 0.1%
18 1
< 0.1%
19 1
< 0.1%
23 1
< 0.1%
28 1
< 0.1%
29 1
< 0.1%
ValueCountFrequency (%)
28082 1
< 0.1%
28081 1
< 0.1%
28073 1
< 0.1%
28072 1
< 0.1%
28070 1
< 0.1%
28067 1
< 0.1%
28064 1
< 0.1%
28056 1
< 0.1%
28054 1
< 0.1%
28052 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
담배소매업
10000 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
담배소매업 10000
100.0%

Length

2024-04-16T14:43:17.804472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T14:43:17.880514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
담배소매업 10000
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
11_43_02_P
10000 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row11_43_02_P
2nd row11_43_02_P
3rd row11_43_02_P
4th row11_43_02_P
5th row11_43_02_P

Common Values

ValueCountFrequency (%)
11_43_02_P 10000
100.0%

Length

2024-04-16T14:43:17.958188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T14:43:18.041986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11_43_02_p 10000
100.0%

개방자치단체코드
Real number (ℝ)

Distinct13
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3314061
Minimum3250000
Maximum3370000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-16T14:43:18.130719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3250000
5-th percentile3260000
Q13290000
median3320000
Q33340000
95-th percentile3360000
Maximum3370000
Range120000
Interquartile range (IQR)50000

Descriptive statistics

Standard deviation31990.633
Coefficient of variation (CV)0.0096530007
Kurtosis-0.90088223
Mean3314061
Median Absolute Deviation (MAD)30000
Skewness-0.20223754
Sum3.314061 × 1010
Variance1.0234006 × 109
MonotonicityNot monotonic
2024-04-16T14:43:18.242372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
3290000 1445
14.4%
3330000 1152
11.5%
3340000 1042
10.4%
3350000 1020
10.2%
3300000 884
8.8%
3320000 861
8.6%
3310000 814
8.1%
3360000 707
7.1%
3260000 480
 
4.8%
3270000 452
 
4.5%
Other values (3) 1143
11.4%
ValueCountFrequency (%)
3250000 396
 
4.0%
3260000 480
 
4.8%
3270000 452
 
4.5%
3280000 441
 
4.4%
3290000 1445
14.4%
3300000 884
8.8%
3310000 814
8.1%
3320000 861
8.6%
3330000 1152
11.5%
3340000 1042
10.4%
ValueCountFrequency (%)
3370000 306
 
3.1%
3360000 707
7.1%
3350000 1020
10.2%
3340000 1042
10.4%
3330000 1152
11.5%
3320000 861
8.6%
3310000 814
8.1%
3300000 884
8.8%
3290000 1445
14.4%
3280000 441
 
4.4%

관리번호
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-16T14:43:18.434155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length19
Mean length19
Min length19

Characters and Unicode

Total characters190000
Distinct characters12
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10000 ?
Unique (%)100.0%

Sample

1st row2006333008205600004
2nd row2002333001505601040
3rd row2007332007205600014
4th row1999335001505601015
5th row2001326004905618100
ValueCountFrequency (%)
2006333008205600004 1
 
< 0.1%
2010331008205600072 1
 
< 0.1%
2007331007105600008 1
 
< 0.1%
2001332004205600005 1
 
< 0.1%
2011326007005600055 1
 
< 0.1%
2004332005905600073 1
 
< 0.1%
2001326004905601212 1
 
< 0.1%
2018330009905600033 1
 
< 0.1%
2002331001605603164 1
 
< 0.1%
2002334001705600982 1
 
< 0.1%
Other values (9990) 9990
99.9%
2024-04-16T14:43:18.708339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 74298
39.1%
3 23052
 
12.1%
2 19115
 
10.1%
5 16806
 
8.8%
1 16711
 
8.8%
6 15996
 
8.4%
9 7395
 
3.9%
8 5869
 
3.1%
4 5740
 
3.0%
7 5016
 
2.6%
Other values (2) 2
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 189998
> 99.9%
Dash Punctuation 1
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 74298
39.1%
3 23052
 
12.1%
2 19115
 
10.1%
5 16806
 
8.8%
1 16711
 
8.8%
6 15996
 
8.4%
9 7395
 
3.9%
8 5869
 
3.1%
4 5740
 
3.0%
7 5016
 
2.6%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
a 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 189999
> 99.9%
Latin 1
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 74298
39.1%
3 23052
 
12.1%
2 19115
 
10.1%
5 16806
 
8.8%
1 16711
 
8.8%
6 15996
 
8.4%
9 7395
 
3.9%
8 5869
 
3.1%
4 5740
 
3.0%
7 5016
 
2.6%
Latin
ValueCountFrequency (%)
a 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 190000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 74298
39.1%
3 23052
 
12.1%
2 19115
 
10.1%
5 16806
 
8.8%
1 16711
 
8.8%
6 15996
 
8.4%
9 7395
 
3.9%
8 5869
 
3.1%
4 5740
 
3.0%
7 5016
 
2.6%
Other values (2) 2
 
< 0.1%
Distinct4993
Distinct (%)49.9%
Missing3
Missing (%)< 0.1%
Memory size156.2 KiB
2024-04-16T14:43:18.963192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length7.9991998
Min length1

Characters and Unicode

Total characters79968
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2474 ?
Unique (%)24.7%

Sample

1st row20060703
2nd row19931210
3rd row20070216
4th row19990520
5th row20010328
ValueCountFrequency (%)
20010102 180
 
1.8%
00000000 71
 
0.7%
19981231 41
 
0.4%
19981208 29
 
0.3%
19981125 20
 
0.2%
19981019 18
 
0.2%
19981030 17
 
0.2%
19981029 17
 
0.2%
19981028 17
 
0.2%
19981026 16
 
0.2%
Other values (4989) 9612
95.8%
2024-04-16T14:43:19.331278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 26255
32.8%
2 15296
19.1%
1 15294
19.1%
9 5837
 
7.3%
8 3298
 
4.1%
3 3217
 
4.0%
7 2755
 
3.4%
4 2672
 
3.3%
6 2652
 
3.3%
5 2651
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 79927
99.9%
Space Separator 41
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 26255
32.8%
2 15296
19.1%
1 15294
19.1%
9 5837
 
7.3%
8 3298
 
4.1%
3 3217
 
4.0%
7 2755
 
3.4%
4 2672
 
3.3%
6 2652
 
3.3%
5 2651
 
3.3%
Space Separator
ValueCountFrequency (%)
41
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 79968
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 26255
32.8%
2 15296
19.1%
1 15294
19.1%
9 5837
 
7.3%
8 3298
 
4.1%
3 3217
 
4.0%
7 2755
 
3.4%
4 2672
 
3.3%
6 2652
 
3.3%
5 2651
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 79968
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 26255
32.8%
2 15296
19.1%
1 15294
19.1%
9 5837
 
7.3%
8 3298
 
4.1%
3 3217
 
4.0%
7 2755
 
3.4%
4 2672
 
3.3%
6 2652
 
3.3%
5 2651
 
3.3%

인허가취소일자
Real number (ℝ)

MISSING 

Distinct287
Distinct (%)43.2%
Missing9335
Missing (%)93.3%
Infinite0
Infinite (%)0.0%
Mean20117020
Minimum20010102
Maximum20210325
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-16T14:43:19.464577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20010102
5-th percentile20030108
Q120080122
median20121024
Q320160324
95-th percentile20190700
Maximum20210325
Range200223
Interquartile range (IQR)80202

Descriptive statistics

Standard deviation52655.013
Coefficient of variation (CV)0.002617436
Kurtosis-1.0087856
Mean20117020
Median Absolute Deviation (MAD)39479
Skewness-0.32442815
Sum1.3377818 × 1010
Variance2.7725504 × 109
MonotonicityNot monotonic
2024-04-16T14:43:19.592669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20090722 23
 
0.2%
20140220 22
 
0.2%
20160503 16
 
0.2%
20121024 15
 
0.1%
20151207 15
 
0.1%
20100629 15
 
0.1%
20100709 14
 
0.1%
20140127 13
 
0.1%
20160127 13
 
0.1%
20151119 12
 
0.1%
Other values (277) 507
 
5.1%
(Missing) 9335
93.3%
ValueCountFrequency (%)
20010102 1
 
< 0.1%
20010627 1
 
< 0.1%
20010907 1
 
< 0.1%
20020104 2
 
< 0.1%
20020625 6
0.1%
20020725 2
 
< 0.1%
20020806 4
< 0.1%
20020829 5
0.1%
20020903 1
 
< 0.1%
20021021 1
 
< 0.1%
ValueCountFrequency (%)
20210325 7
0.1%
20210107 1
 
< 0.1%
20201230 1
 
< 0.1%
20201223 1
 
< 0.1%
20201222 1
 
< 0.1%
20201217 1
 
< 0.1%
20201204 1
 
< 0.1%
20201020 2
 
< 0.1%
20201014 1
 
< 0.1%
20200909 1
 
< 0.1%
Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
3
6683 
1
2620 
4
692 
2
 
5

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row4
3rd row1
4th row3
5th row3

Common Values

ValueCountFrequency (%)
3 6683
66.8%
1 2620
 
26.2%
4 692
 
6.9%
2 5
 
0.1%

Length

2024-04-16T14:43:19.707602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T14:43:19.783315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 6683
66.8%
1 2620
 
26.2%
4 692
 
6.9%
2 5
 
< 0.1%

영업상태명
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
폐업
6683 
영업/정상
2620 
취소/말소/만료/정지/중지
692 
휴업
 
5

Length

Max length14
Median length2
Mean length3.6164
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row폐업
2nd row취소/말소/만료/정지/중지
3rd row영업/정상
4th row폐업
5th row폐업

Common Values

ValueCountFrequency (%)
폐업 6683
66.8%
영업/정상 2620
 
26.2%
취소/말소/만료/정지/중지 692
 
6.9%
휴업 5
 
0.1%

Length

2024-04-16T14:43:19.874131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T14:43:19.959132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 6683
66.8%
영업/정상 2620
 
26.2%
취소/말소/만료/정지/중지 692
 
6.9%
휴업 5
 
< 0.1%

상세영업상태코드
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.615
Minimum0
Maximum6
Zeros2620
Zeros (%)26.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-16T14:43:20.037049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q32
95-th percentile3
Maximum6
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.1179893
Coefficient of variation (CV)0.69225341
Kurtosis1.1796021
Mean1.615
Median Absolute Deviation (MAD)0
Skewness0.27456617
Sum16150
Variance1.2499
MonotonicityNot monotonic
2024-04-16T14:43:20.123284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2 6683
66.8%
0 2620
 
26.2%
5 338
 
3.4%
3 333
 
3.3%
4 18
 
0.2%
1 5
 
0.1%
6 3
 
< 0.1%
ValueCountFrequency (%)
0 2620
 
26.2%
1 5
 
0.1%
2 6683
66.8%
3 333
 
3.3%
4 18
 
0.2%
5 338
 
3.4%
6 3
 
< 0.1%
ValueCountFrequency (%)
6 3
 
< 0.1%
5 338
 
3.4%
4 18
 
0.2%
3 333
 
3.3%
2 6683
66.8%
1 5
 
0.1%
0 2620
 
26.2%

상세영업상태명
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
폐업처리
6683 
정상영업
2620 
지정취소
 
338
직권취소
 
333
임시소매기간만료
 
18
Other values (2)
 
8

Length

Max length8
Median length4
Mean length4.0072
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row폐업처리
2nd row직권취소
3rd row정상영업
4th row폐업처리
5th row폐업처리

Common Values

ValueCountFrequency (%)
폐업처리 6683
66.8%
정상영업 2620
 
26.2%
지정취소 338
 
3.4%
직권취소 333
 
3.3%
임시소매기간만료 18
 
0.2%
휴업처리 5
 
0.1%
영업정지 3
 
< 0.1%

Length

2024-04-16T14:43:20.242695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T14:43:20.341314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업처리 6683
66.8%
정상영업 2620
 
26.2%
지정취소 338
 
3.4%
직권취소 333
 
3.3%
임시소매기간만료 18
 
0.2%
휴업처리 5
 
< 0.1%
영업정지 3
 
< 0.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct3467
Distinct (%)51.9%
Missing3317
Missing (%)33.2%
Infinite0
Infinite (%)0.0%
Mean20106147
Minimum19871231
Maximum20210331
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-16T14:43:20.459363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19871231
5-th percentile20030603
Q120060524
median20100827
Q320150731
95-th percentile20191108
Maximum20210331
Range339100
Interquartile range (IQR)90207

Descriptive statistics

Standard deviation53319.842
Coefficient of variation (CV)0.0026519175
Kurtosis-1.0670462
Mean20106147
Median Absolute Deviation (MAD)40725
Skewness0.15598113
Sum1.3436938 × 1011
Variance2.8430056 × 109
MonotonicityNot monotonic
2024-04-16T14:43:20.575948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20090408 21
 
0.2%
20150817 13
 
0.1%
20151116 13
 
0.1%
20150907 12
 
0.1%
20040102 8
 
0.1%
20041203 8
 
0.1%
20190417 8
 
0.1%
20090410 8
 
0.1%
20131129 8
 
0.1%
20090429 8
 
0.1%
Other values (3457) 6576
65.8%
(Missing) 3317
33.2%
ValueCountFrequency (%)
19871231 1
 
< 0.1%
19950602 1
 
< 0.1%
19981201 1
 
< 0.1%
19990113 1
 
< 0.1%
20000209 1
 
< 0.1%
20000316 2
 
< 0.1%
20000630 1
 
< 0.1%
20001010 1
 
< 0.1%
20001226 1
 
< 0.1%
20010102 5
0.1%
ValueCountFrequency (%)
20210331 2
< 0.1%
20210325 2
< 0.1%
20210324 1
 
< 0.1%
20210322 3
< 0.1%
20210319 1
 
< 0.1%
20210318 2
< 0.1%
20210317 1
 
< 0.1%
20210316 1
 
< 0.1%
20210315 1
 
< 0.1%
20210312 1
 
< 0.1%

휴업시작일자
Real number (ℝ)

MISSING 

Distinct136
Distinct (%)97.8%
Missing9861
Missing (%)98.6%
Infinite0
Infinite (%)0.0%
Mean20125582
Minimum20030501
Maximum20210329
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-16T14:43:20.702278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20030501
5-th percentile20040316
Q120070766
median20121101
Q320180604
95-th percentile20201137
Maximum20210329
Range179828
Interquartile range (IQR)109838

Descriptive statistics

Standard deviation56662.426
Coefficient of variation (CV)0.0028154429
Kurtosis-1.3441908
Mean20125582
Median Absolute Deviation (MAD)59027
Skewness-0.066316577
Sum2.7974559 × 109
Variance3.2106306 × 109
MonotonicityNot monotonic
2024-04-16T14:43:21.020687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20100625 2
 
< 0.1%
20190202 2
 
< 0.1%
20110325 2
 
< 0.1%
20111111 1
 
< 0.1%
20191007 1
 
< 0.1%
20180601 1
 
< 0.1%
20040813 1
 
< 0.1%
20150921 1
 
< 0.1%
20080415 1
 
< 0.1%
20210329 1
 
< 0.1%
Other values (126) 126
 
1.3%
(Missing) 9861
98.6%
ValueCountFrequency (%)
20030501 1
< 0.1%
20030903 1
< 0.1%
20031113 1
< 0.1%
20031220 1
< 0.1%
20040108 1
< 0.1%
20040301 1
< 0.1%
20040306 1
< 0.1%
20040317 1
< 0.1%
20040407 1
< 0.1%
20040412 1
< 0.1%
ValueCountFrequency (%)
20210329 1
< 0.1%
20210204 1
< 0.1%
20210120 1
< 0.1%
20210118 1
< 0.1%
20210105 1
< 0.1%
20201228 1
< 0.1%
20201201 1
< 0.1%
20201130 1
< 0.1%
20201113 1
< 0.1%
20201101 1
< 0.1%

휴업종료일자
Real number (ℝ)

MISSING 

Distinct133
Distinct (%)96.4%
Missing9862
Missing (%)98.6%
Infinite0
Infinite (%)0.0%
Mean20127693
Minimum20030630
Maximum20221031
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-16T14:43:21.143368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20030630
5-th percentile20040715
Q120070790
median20125669
Q320180978
95-th percentile20202579
Maximum20221031
Range190401
Interquartile range (IQR)110187.75

Descriptive statistics

Standard deviation56791.404
Coefficient of variation (CV)0.0028215555
Kurtosis-1.35249
Mean20127693
Median Absolute Deviation (MAD)55053.5
Skewness-0.07642651
Sum2.7776216 × 109
Variance3.2252635 × 109
MonotonicityNot monotonic
2024-04-16T14:43:21.267499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20110424 2
 
< 0.1%
20050930 2
 
< 0.1%
20111231 2
 
< 0.1%
20190301 2
 
< 0.1%
20181231 2
 
< 0.1%
20040911 1
 
< 0.1%
20151020 1
 
< 0.1%
20081231 1
 
< 0.1%
20120410 1
 
< 0.1%
20141228 1
 
< 0.1%
Other values (123) 123
 
1.2%
(Missing) 9862
98.6%
ValueCountFrequency (%)
20030630 1
< 0.1%
20031212 1
< 0.1%
20040201 1
< 0.1%
20040206 1
< 0.1%
20040415 1
< 0.1%
20040501 1
< 0.1%
20040630 1
< 0.1%
20040730 1
< 0.1%
20040831 1
< 0.1%
20040911 1
< 0.1%
ValueCountFrequency (%)
20221031 1
< 0.1%
20220630 1
< 0.1%
20210626 1
< 0.1%
20210531 1
< 0.1%
20210304 1
< 0.1%
20210219 1
< 0.1%
20210217 1
< 0.1%
20201231 1
< 0.1%
20201230 1
< 0.1%
20201229 1
< 0.1%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

소재지전화
Text

MISSING 

Distinct5868
Distinct (%)92.1%
Missing3626
Missing (%)36.3%
Memory size156.2 KiB
2024-04-16T14:43:21.556998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length10.394415
Min length1

Characters and Unicode

Total characters66254
Distinct characters17
Distinct categories6 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5577 ?
Unique (%)87.5%

Sample

1st row051 7425290
2nd row051 7816479
3rd row3324177
4th row051 5259061
5th row051 3301501
ValueCountFrequency (%)
051 3808
37.1%
051-513-4850 30
 
0.3%
25
 
0.2%
0000 25
 
0.2%
5134850 14
 
0.1%
0000000 13
 
0.1%
1 12
 
0.1%
8041943 11
 
0.1%
05100000000 10
 
0.1%
000 7
 
0.1%
Other values (5912) 6298
61.4%
2024-04-16T14:43:21.954852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 10061
15.2%
0 9855
14.9%
1 9545
14.4%
2 5208
7.9%
3 4617
7.0%
4 4612
7.0%
8 4379
6.6%
6 4301
6.5%
3907
 
5.9%
7 3644
 
5.5%
Other values (7) 6125
9.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 59365
89.6%
Space Separator 3907
 
5.9%
Dash Punctuation 2954
 
4.5%
Close Punctuation 22
 
< 0.1%
Math Symbol 5
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 10061
16.9%
0 9855
16.6%
1 9545
16.1%
2 5208
8.8%
3 4617
7.8%
4 4612
7.8%
8 4379
7.4%
6 4301
7.2%
7 3644
 
6.1%
9 3143
 
5.3%
Math Symbol
ValueCountFrequency (%)
~ 3
60.0%
= 1
 
20.0%
+ 1
 
20.0%
Space Separator
ValueCountFrequency (%)
3907
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2954
100.0%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%
Other Punctuation
ValueCountFrequency (%)
\ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 66254
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 10061
15.2%
0 9855
14.9%
1 9545
14.4%
2 5208
7.9%
3 4617
7.0%
4 4612
7.0%
8 4379
6.6%
6 4301
6.5%
3907
 
5.9%
7 3644
 
5.5%
Other values (7) 6125
9.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 66254
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 10061
15.2%
0 9855
14.9%
1 9545
14.4%
2 5208
7.9%
3 4617
7.0%
4 4612
7.0%
8 4379
6.6%
6 4301
6.5%
3907
 
5.9%
7 3644
 
5.5%
Other values (7) 6125
9.2%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct778
Distinct (%)30.0%
Missing7410
Missing (%)74.1%
Infinite0
Infinite (%)0.0%
Mean605721.58
Minimum0
Maximum621722
Zeros19
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-16T14:43:22.080721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile600805.45
Q1607061
median611072
Q3614112.75
95-th percentile618801
Maximum621722
Range621722
Interquartile range (IQR)7051.75

Descriptive statistics

Standard deviation53494.71
Coefficient of variation (CV)0.088315674
Kurtosis122.49348
Mean605721.58
Median Absolute Deviation (MAD)3739
Skewness-11.097818
Sum1.5688189 × 109
Variance2.861684 × 109
MonotonicityNot monotonic
2024-04-16T14:43:22.204901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
612020 38
 
0.4%
612010 31
 
0.3%
612030 29
 
0.3%
612050 25
 
0.2%
612040 23
 
0.2%
618819 22
 
0.2%
607060 21
 
0.2%
618270 20
 
0.2%
614032 20
 
0.2%
612060 19
 
0.2%
Other values (768) 2342
 
23.4%
(Missing) 7410
74.1%
ValueCountFrequency (%)
0 19
0.2%
47750 1
 
< 0.1%
600010 1
 
< 0.1%
600011 2
 
< 0.1%
600012 4
 
< 0.1%
600014 8
0.1%
600015 3
 
< 0.1%
600016 3
 
< 0.1%
600017 3
 
< 0.1%
600021 3
 
< 0.1%
ValueCountFrequency (%)
621722 1
 
< 0.1%
618899 5
 
0.1%
618820 10
0.1%
618819 22
0.2%
618818 19
0.2%
618817 12
0.1%
618816 1
 
< 0.1%
618815 8
 
0.1%
618814 16
0.2%
618812 1
 
< 0.1%

소재지전체주소
Text

MISSING 

Distinct8519
Distinct (%)92.2%
Missing765
Missing (%)7.6%
Memory size156.2 KiB
2024-04-16T14:43:22.510947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length55
Mean length24.978452
Min length12

Characters and Unicode

Total characters230676
Distinct characters539
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7917 ?
Unique (%)85.7%

Sample

1st row부산광역시 해운대구 우동 622-4호 해운대해수욕장
2nd row부산광역시 해운대구 재송동 1025-8호
3rd row부산광역시 북구 만덕동 459번지 1 호
4th row부산광역시 금정구 서동 161번지 27호
5th row부산광역시 서구 암남동 705호
ValueCountFrequency (%)
부산광역시 9233
 
18.6%
1529
 
3.1%
부산진구 1275
 
2.6%
사하구 1041
 
2.1%
해운대구 1026
 
2.1%
1호 934
 
1.9%
동래구 883
 
1.8%
금정구 837
 
1.7%
북구 771
 
1.6%
남구 715
 
1.4%
Other values (5930) 31428
63.3%
2024-04-16T14:43:22.963546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
42581
18.5%
1 11668
 
5.1%
11307
 
4.9%
11305
 
4.9%
11163
 
4.8%
9790
 
4.2%
9419
 
4.1%
9364
 
4.1%
9315
 
4.0%
9308
 
4.0%
Other values (529) 95456
41.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 139305
60.4%
Decimal Number 47018
 
20.4%
Space Separator 42581
 
18.5%
Dash Punctuation 1135
 
0.5%
Uppercase Letter 279
 
0.1%
Other Punctuation 200
 
0.1%
Close Punctuation 62
 
< 0.1%
Open Punctuation 60
 
< 0.1%
Lowercase Letter 21
 
< 0.1%
Math Symbol 13
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
11307
 
8.1%
11305
 
8.1%
11163
 
8.0%
9790
 
7.0%
9419
 
6.8%
9364
 
6.7%
9315
 
6.7%
9308
 
6.7%
7997
 
5.7%
7391
 
5.3%
Other values (474) 42946
30.8%
Uppercase Letter
ValueCountFrequency (%)
B 53
19.0%
A 51
18.3%
L 18
 
6.5%
K 18
 
6.5%
S 18
 
6.5%
C 17
 
6.1%
T 16
 
5.7%
G 15
 
5.4%
O 10
 
3.6%
E 10
 
3.6%
Other values (14) 53
19.0%
Decimal Number
ValueCountFrequency (%)
1 11668
24.8%
2 6425
13.7%
3 5086
10.8%
4 4290
 
9.1%
5 3935
 
8.4%
0 3795
 
8.1%
6 3282
 
7.0%
7 2908
 
6.2%
8 2894
 
6.2%
9 2735
 
5.8%
Other Punctuation
ValueCountFrequency (%)
, 127
63.5%
@ 29
 
14.5%
/ 23
 
11.5%
. 15
 
7.5%
& 3
 
1.5%
· 2
 
1.0%
: 1
 
0.5%
Lowercase Letter
ValueCountFrequency (%)
e 7
33.3%
t 4
19.0%
a 4
19.0%
p 3
14.3%
l 1
 
4.8%
s 1
 
4.8%
b 1
 
4.8%
Math Symbol
ValueCountFrequency (%)
~ 12
92.3%
1
 
7.7%
Space Separator
ValueCountFrequency (%)
42581
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1135
100.0%
Close Punctuation
ValueCountFrequency (%)
) 62
100.0%
Open Punctuation
ValueCountFrequency (%)
( 60
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 139305
60.4%
Common 91071
39.5%
Latin 300
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
11307
 
8.1%
11305
 
8.1%
11163
 
8.0%
9790
 
7.0%
9419
 
6.8%
9364
 
6.7%
9315
 
6.7%
9308
 
6.7%
7997
 
5.7%
7391
 
5.3%
Other values (474) 42946
30.8%
Latin
ValueCountFrequency (%)
B 53
17.7%
A 51
17.0%
L 18
 
6.0%
K 18
 
6.0%
S 18
 
6.0%
C 17
 
5.7%
T 16
 
5.3%
G 15
 
5.0%
O 10
 
3.3%
E 10
 
3.3%
Other values (21) 74
24.7%
Common
ValueCountFrequency (%)
42581
46.8%
1 11668
 
12.8%
2 6425
 
7.1%
3 5086
 
5.6%
4 4290
 
4.7%
5 3935
 
4.3%
0 3795
 
4.2%
6 3282
 
3.6%
7 2908
 
3.2%
8 2894
 
3.2%
Other values (14) 4207
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 139303
60.4%
ASCII 91368
39.6%
None 3
 
< 0.1%
Compat Jamo 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
42581
46.6%
1 11668
 
12.8%
2 6425
 
7.0%
3 5086
 
5.6%
4 4290
 
4.7%
5 3935
 
4.3%
0 3795
 
4.2%
6 3282
 
3.6%
7 2908
 
3.2%
8 2894
 
3.2%
Other values (43) 4504
 
4.9%
Hangul
ValueCountFrequency (%)
11307
 
8.1%
11305
 
8.1%
11163
 
8.0%
9790
 
7.0%
9419
 
6.8%
9364
 
6.7%
9315
 
6.7%
9308
 
6.7%
7997
 
5.7%
7391
 
5.3%
Other values (472) 42944
30.8%
None
ValueCountFrequency (%)
· 2
66.7%
1
33.3%
Compat Jamo
ValueCountFrequency (%)
1
50.0%
1
50.0%

도로명전체주소
Text

MISSING 

Distinct7156
Distinct (%)86.0%
Missing1682
Missing (%)16.8%
Memory size156.2 KiB
2024-04-16T14:43:23.287973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length70
Median length62
Mean length29.033301
Min length14

Characters and Unicode

Total characters241499
Distinct characters560
Distinct categories13 ?
Distinct scripts3 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6247 ?
Unique (%)75.1%

Sample

1st row부산광역시 북구 구만덕로 60 (만덕동)
2nd row부산광역시 금정구 서동로103번길 41 (서동)
3rd row부산광역시 서구 원양로 295 (암남동)
4th row부산광역시 북구 덕천1길 6 (덕천동)
5th row부산광역시 사하구 괴정로 146 (괴정동)
ValueCountFrequency (%)
부산광역시 8319
 
18.1%
부산진구 1309
 
2.9%
사하구 947
 
2.1%
금정구 944
 
2.1%
해운대구 838
 
1.8%
동래구 827
 
1.8%
1층 767
 
1.7%
남구 666
 
1.5%
북구 647
 
1.4%
강서구 609
 
1.3%
Other values (6145) 30011
65.4%
2024-04-16T14:43:23.750976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
37606
 
15.6%
11324
 
4.7%
10775
 
4.5%
10621
 
4.4%
1 9738
 
4.0%
9006
 
3.7%
8785
 
3.6%
8512
 
3.5%
8372
 
3.5%
) 8353
 
3.5%
Other values (550) 118407
49.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 145269
60.2%
Space Separator 37606
 
15.6%
Decimal Number 36786
 
15.2%
Close Punctuation 8353
 
3.5%
Open Punctuation 8351
 
3.5%
Other Punctuation 3654
 
1.5%
Dash Punctuation 1143
 
0.5%
Uppercase Letter 281
 
0.1%
Math Symbol 33
 
< 0.1%
Lowercase Letter 20
 
< 0.1%
Other values (3) 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
11324
 
7.8%
10775
 
7.4%
10621
 
7.3%
9006
 
6.2%
8785
 
6.0%
8512
 
5.9%
8372
 
5.8%
8081
 
5.6%
4082
 
2.8%
3797
 
2.6%
Other values (493) 61914
42.6%
Uppercase Letter
ValueCountFrequency (%)
B 67
23.8%
A 57
20.3%
C 24
 
8.5%
K 17
 
6.0%
S 16
 
5.7%
T 14
 
5.0%
E 13
 
4.6%
P 11
 
3.9%
L 8
 
2.8%
D 8
 
2.8%
Other values (13) 46
16.4%
Decimal Number
ValueCountFrequency (%)
1 9738
26.5%
2 5248
14.3%
3 3767
 
10.2%
0 3398
 
9.2%
4 3029
 
8.2%
5 2792
 
7.6%
6 2568
 
7.0%
7 2261
 
6.1%
9 2027
 
5.5%
8 1958
 
5.3%
Lowercase Letter
ValueCountFrequency (%)
e 9
45.0%
t 3
 
15.0%
s 2
 
10.0%
l 2
 
10.0%
b 1
 
5.0%
k 1
 
5.0%
p 1
 
5.0%
a 1
 
5.0%
Other Punctuation
ValueCountFrequency (%)
, 3615
98.9%
@ 17
 
0.5%
· 8
 
0.2%
. 7
 
0.2%
/ 4
 
0.1%
& 3
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 30
90.9%
2
 
6.1%
1
 
3.0%
Space Separator
ValueCountFrequency (%)
37606
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8353
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8351
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1143
100.0%
Letter Number
ValueCountFrequency (%)
1
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 145270
60.2%
Common 95927
39.7%
Latin 302
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
11324
 
7.8%
10775
 
7.4%
10621
 
7.3%
9006
 
6.2%
8785
 
6.0%
8512
 
5.9%
8372
 
5.8%
8081
 
5.6%
4082
 
2.8%
3797
 
2.6%
Other values (494) 61915
42.6%
Latin
ValueCountFrequency (%)
B 67
22.2%
A 57
18.9%
C 24
 
7.9%
K 17
 
5.6%
S 16
 
5.3%
T 14
 
4.6%
E 13
 
4.3%
P 11
 
3.6%
e 9
 
3.0%
L 8
 
2.6%
Other values (22) 66
21.9%
Common
ValueCountFrequency (%)
37606
39.2%
1 9738
 
10.2%
) 8353
 
8.7%
( 8351
 
8.7%
2 5248
 
5.5%
3 3767
 
3.9%
, 3615
 
3.8%
0 3398
 
3.5%
4 3029
 
3.2%
5 2792
 
2.9%
Other values (14) 10030
 
10.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 145268
60.2%
ASCII 96217
39.8%
None 11
 
< 0.1%
Math Operators 1
 
< 0.1%
Number Forms 1
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
37606
39.1%
1 9738
 
10.1%
) 8353
 
8.7%
( 8351
 
8.7%
2 5248
 
5.5%
3 3767
 
3.9%
, 3615
 
3.8%
0 3398
 
3.5%
4 3029
 
3.1%
5 2792
 
2.9%
Other values (42) 10320
 
10.7%
Hangul
ValueCountFrequency (%)
11324
 
7.8%
10775
 
7.4%
10621
 
7.3%
9006
 
6.2%
8785
 
6.0%
8512
 
5.9%
8372
 
5.8%
8081
 
5.6%
4082
 
2.8%
3797
 
2.6%
Other values (492) 61913
42.6%
None
ValueCountFrequency (%)
· 8
72.7%
2
 
18.2%
1
 
9.1%
Math Operators
ValueCountFrequency (%)
1
100.0%
Number Forms
ValueCountFrequency (%)
1
100.0%
Compat Jamo
ValueCountFrequency (%)
1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct1634
Distinct (%)46.9%
Missing6519
Missing (%)65.2%
Infinite0
Infinite (%)0.0%
Mean280919.38
Minimum46201
Maximum618899
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-16T14:43:23.882857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46201
5-th percentile46325
Q147715
median49326
Q3609806
95-th percentile616804
Maximum618899
Range572698
Interquartile range (IQR)562091

Descriptive statistics

Standard deviation277244.96
Coefficient of variation (CV)0.98692002
Kurtosis-1.878086
Mean280919.38
Median Absolute Deviation (MAD)2705
Skewness0.34988603
Sum9.7788035 × 108
Variance7.6864766 × 1010
MonotonicityNot monotonic
2024-04-16T14:43:23.999799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
46726 48
 
0.5%
612020 14
 
0.1%
612040 13
 
0.1%
614803 12
 
0.1%
46230 11
 
0.1%
618819 10
 
0.1%
46753 10
 
0.1%
46743 10
 
0.1%
48053 10
 
0.1%
49431 9
 
0.1%
Other values (1624) 3334
33.3%
(Missing) 6519
65.2%
ValueCountFrequency (%)
46201 2
< 0.1%
46202 2
< 0.1%
46203 2
< 0.1%
46204 2
< 0.1%
46206 1
 
< 0.1%
46207 4
< 0.1%
46212 1
 
< 0.1%
46214 1
 
< 0.1%
46215 1
 
< 0.1%
46217 1
 
< 0.1%
ValueCountFrequency (%)
618899 4
 
< 0.1%
618820 1
 
< 0.1%
618819 10
0.1%
618818 8
0.1%
618817 4
 
< 0.1%
618815 2
 
< 0.1%
618814 8
0.1%
618811 1
 
< 0.1%
618810 2
 
< 0.1%
618808 7
0.1%
Distinct7417
Distinct (%)74.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-16T14:43:24.285965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length25
Mean length6.0338
Min length1

Characters and Unicode

Total characters60338
Distinct characters829
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6556 ?
Unique (%)65.6%

Sample

1st row2호탈의장
2nd row황병천
3rd row우리상회
4th row윤선자
5th row탑마트
ValueCountFrequency (%)
295
 
2.4%
씨유 245
 
2.0%
gs25 161
 
1.3%
142
 
1.2%
세븐일레븐 134
 
1.1%
담배 134
 
1.1%
116
 
1.0%
115
 
0.9%
이마트24 100
 
0.8%
주)코리아세븐 72
 
0.6%
Other values (7588) 10593
87.5%
2024-04-16T14:43:24.707218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2447
 
4.1%
2112
 
3.5%
2008
 
3.3%
1929
 
3.2%
1270
 
2.1%
1223
 
2.0%
1011
 
1.7%
872
 
1.4%
870
 
1.4%
2 851
 
1.4%
Other values (819) 45745
75.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 52925
87.7%
Space Separator 2112
 
3.5%
Decimal Number 1885
 
3.1%
Uppercase Letter 1568
 
2.6%
Close Punctuation 646
 
1.1%
Open Punctuation 645
 
1.1%
Lowercase Letter 301
 
0.5%
Dash Punctuation 178
 
0.3%
Other Punctuation 71
 
0.1%
Other Symbol 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2447
 
4.6%
2008
 
3.8%
1929
 
3.6%
1270
 
2.4%
1223
 
2.3%
1011
 
1.9%
872
 
1.6%
870
 
1.6%
820
 
1.5%
782
 
1.5%
Other values (741) 39693
75.0%
Uppercase Letter
ValueCountFrequency (%)
S 485
30.9%
G 456
29.1%
C 118
 
7.5%
L 63
 
4.0%
K 63
 
4.0%
U 45
 
2.9%
D 35
 
2.2%
T 33
 
2.1%
A 30
 
1.9%
J 29
 
1.8%
Other values (16) 211
13.5%
Lowercase Letter
ValueCountFrequency (%)
e 39
 
13.0%
a 27
 
9.0%
o 27
 
9.0%
r 18
 
6.0%
i 16
 
5.3%
c 15
 
5.0%
n 14
 
4.7%
l 14
 
4.7%
t 14
 
4.7%
s 14
 
4.7%
Other values (15) 103
34.2%
Other Punctuation
ValueCountFrequency (%)
. 26
36.6%
& 15
21.1%
, 12
16.9%
/ 5
 
7.0%
' 4
 
5.6%
3
 
4.2%
% 2
 
2.8%
! 1
 
1.4%
: 1
 
1.4%
? 1
 
1.4%
Decimal Number
ValueCountFrequency (%)
2 851
45.1%
5 632
33.5%
4 193
 
10.2%
1 80
 
4.2%
3 37
 
2.0%
0 32
 
1.7%
7 23
 
1.2%
8 14
 
0.7%
6 12
 
0.6%
9 11
 
0.6%
Space Separator
ValueCountFrequency (%)
2112
100.0%
Close Punctuation
ValueCountFrequency (%)
) 646
100.0%
Open Punctuation
ValueCountFrequency (%)
( 645
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 178
100.0%
Other Symbol
ValueCountFrequency (%)
6
100.0%
Final Punctuation
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 52931
87.7%
Common 5538
 
9.2%
Latin 1869
 
3.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2447
 
4.6%
2008
 
3.8%
1929
 
3.6%
1270
 
2.4%
1223
 
2.3%
1011
 
1.9%
872
 
1.6%
870
 
1.6%
820
 
1.5%
782
 
1.5%
Other values (742) 39699
75.0%
Latin
ValueCountFrequency (%)
S 485
25.9%
G 456
24.4%
C 118
 
6.3%
L 63
 
3.4%
K 63
 
3.4%
U 45
 
2.4%
e 39
 
2.1%
D 35
 
1.9%
T 33
 
1.8%
A 30
 
1.6%
Other values (41) 502
26.9%
Common
ValueCountFrequency (%)
2112
38.1%
2 851
15.4%
) 646
 
11.7%
( 645
 
11.6%
5 632
 
11.4%
4 193
 
3.5%
- 178
 
3.2%
1 80
 
1.4%
3 37
 
0.7%
0 32
 
0.6%
Other values (16) 132
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 52924
87.7%
ASCII 7402
 
12.3%
None 10
 
< 0.1%
Punctuation 1
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
2447
 
4.6%
2008
 
3.8%
1929
 
3.6%
1270
 
2.4%
1223
 
2.3%
1011
 
1.9%
872
 
1.6%
870
 
1.6%
820
 
1.5%
782
 
1.5%
Other values (740) 39692
75.0%
ASCII
ValueCountFrequency (%)
2112
28.5%
2 851
11.5%
) 646
 
8.7%
( 645
 
8.7%
5 632
 
8.5%
S 485
 
6.6%
G 456
 
6.2%
4 193
 
2.6%
- 178
 
2.4%
C 118
 
1.6%
Other values (64) 1086
14.7%
None
ValueCountFrequency (%)
6
60.0%
3
30.0%
· 1
 
10.0%
Punctuation
ValueCountFrequency (%)
1
100.0%
Compat Jamo
ValueCountFrequency (%)
1
100.0%

최종수정시점
Real number (ℝ)

Distinct7504
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.012754 × 1013
Minimum2.0070711 × 1013
Maximum2.0210331 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-16T14:43:24.830280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0070711 × 1013
5-th percentile2.0080222 × 1013
Q12.0080222 × 1013
median2.0121007 × 1013
Q32.0170113 × 1013
95-th percentile2.0200603 × 1013
Maximum2.0210331 × 1013
Range1.3962002 × 1011
Interquartile range (IQR)8.9891119 × 1010

Descriptive statistics

Standard deviation4.351288 × 1010
Coefficient of variation (CV)0.0021618578
Kurtosis-1.331655
Mean2.012754 × 1013
Median Absolute Deviation (MAD)4.0784628 × 1010
Skewness0.30850382
Sum2.012754 × 1017
Variance1.8933708 × 1021
MonotonicityNot monotonic
2024-04-16T14:43:24.953316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20080222000000 2497
 
25.0%
20130416173303 1
 
< 0.1%
20170926145725 1
 
< 0.1%
20160302145029 1
 
< 0.1%
20110307171230 1
 
< 0.1%
20140321161954 1
 
< 0.1%
20181121105454 1
 
< 0.1%
20110503145221 1
 
< 0.1%
20070903143858 1
 
< 0.1%
20180628131554 1
 
< 0.1%
Other values (7494) 7494
74.9%
ValueCountFrequency (%)
20070711155426 1
< 0.1%
20070716151237 1
< 0.1%
20070719103636 1
< 0.1%
20070719103744 1
< 0.1%
20070719111354 1
< 0.1%
20070719123450 1
< 0.1%
20070720093912 1
< 0.1%
20070720143608 1
< 0.1%
20070720170814 1
< 0.1%
20070723091308 1
< 0.1%
ValueCountFrequency (%)
20210331175811 1
< 0.1%
20210331152227 1
< 0.1%
20210331140541 1
< 0.1%
20210331111855 1
< 0.1%
20210329163939 1
< 0.1%
20210326151740 1
< 0.1%
20210326091811 1
< 0.1%
20210326091603 1
< 0.1%
20210326091428 1
< 0.1%
20210326091301 1
< 0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
I
8892 
U
1108 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 8892
88.9%
U 1108
 
11.1%

Length

2024-04-16T14:43:25.077389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T14:43:25.158091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 8892
88.9%
u 1108
 
11.1%
Distinct783
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2018-08-31 23:59:59
Maximum2021-04-02 02:40:00
2024-04-16T14:43:25.254036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-16T14:43:25.384649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct6483
Distinct (%)74.0%
Missing1243
Missing (%)12.4%
Infinite0
Infinite (%)0.0%
Mean386523.22
Minimum201837.02
Maximum400931.25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-16T14:43:25.529610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum201837.02
5-th percentile374852.74
Q1383412.19
median387516.81
Q3390213.82
95-th percentile395888.95
Maximum400931.25
Range199094.23
Interquartile range (IQR)6801.6283

Descriptive statistics

Standard deviation6367.9888
Coefficient of variation (CV)0.016475048
Kurtosis81.419548
Mean386523.22
Median Absolute Deviation (MAD)3225.0217
Skewness-3.4732155
Sum3.3847839 × 109
Variance40551281
MonotonicityNot monotonic
2024-04-16T14:43:25.681511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
391519.106057 13
 
0.1%
387618.822819234 11
 
0.1%
377192.966387666 9
 
0.1%
385742.944605 9
 
0.1%
393233.931123062 8
 
0.1%
388011.197829908 8
 
0.1%
389811.392307835 8
 
0.1%
390593.563077685 8
 
0.1%
392474.578116018 7
 
0.1%
384652.815482369 7
 
0.1%
Other values (6473) 8669
86.7%
(Missing) 1243
 
12.4%
ValueCountFrequency (%)
201837.019345905 1
< 0.1%
364653.879267701 1
< 0.1%
365094.004922601 1
< 0.1%
365230.606630074 1
< 0.1%
365292.225416155 1
< 0.1%
365331.554111646 1
< 0.1%
365333.195649937 1
< 0.1%
365399.645488953 1
< 0.1%
365435.915352944 1
< 0.1%
365482.504608045 1
< 0.1%
ValueCountFrequency (%)
400931.247146282 1
< 0.1%
400888.790697102 1
< 0.1%
400858.374308886 1
< 0.1%
400856.332555923 1
< 0.1%
400848.0 1
< 0.1%
400819.975248202 1
< 0.1%
400816.817427942 2
< 0.1%
400773.604096461 1
< 0.1%
400756.677178909 1
< 0.1%
400750.24453265 1
< 0.1%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct6485
Distinct (%)74.1%
Missing1243
Missing (%)12.4%
Infinite0
Infinite (%)0.0%
Mean186528.35
Minimum168928.89
Maximum459085.36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-16T14:43:25.822560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum168928.89
5-th percentile177619.05
Q1180935.89
median186698.3
Q3191317.3
95-th percentile195760.08
Maximum459085.36
Range290156.47
Interquartile range (IQR)10381.413

Descriptive statistics

Standard deviation6643.2933
Coefficient of variation (CV)0.035615461
Kurtosis322.19548
Mean186528.35
Median Absolute Deviation (MAD)5028.2021
Skewness7.9028928
Sum1.6334288 × 109
Variance44133346
MonotonicityNot monotonic
2024-04-16T14:43:25.945656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
201135.192463 13
 
0.1%
186273.478853367 11
 
0.1%
187698.349116734 9
 
0.1%
185116.059237 9
 
0.1%
180523.822532435 8
 
0.1%
192684.487637586 8
 
0.1%
177284.095401433 8
 
0.1%
185310.70532509 8
 
0.1%
187618.998555169 7
 
0.1%
187602.933160728 7
 
0.1%
Other values (6475) 8669
86.7%
(Missing) 1243
 
12.4%
ValueCountFrequency (%)
168928.88583244 1
< 0.1%
169633.093109266 1
< 0.1%
169703.393912171 1
< 0.1%
169729.496360367 1
< 0.1%
169876.60719368 1
< 0.1%
171651.683726624 1
< 0.1%
171677.306052053 1
< 0.1%
171948.186240424 1
< 0.1%
172278.577554114 1
< 0.1%
173723.944438485 1
< 0.1%
ValueCountFrequency (%)
459085.356211842 1
 
< 0.1%
201886.659400079 1
 
< 0.1%
201864.518643367 1
 
< 0.1%
201845.768023645 1
 
< 0.1%
201767.462806162 1
 
< 0.1%
201621.330682031 1
 
< 0.1%
201612.645695319 1
 
< 0.1%
201610.964604082 1
 
< 0.1%
201398.89491 4
< 0.1%
201296.201480862 1
 
< 0.1%

지정일자
Text

MISSING 

Distinct4193
Distinct (%)55.9%
Missing2500
Missing (%)25.0%
Memory size156.2 KiB
2024-04-16T14:43:26.188490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length8
Min length8

Characters and Unicode

Total characters60000
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2317 ?
Unique (%)30.9%

Sample

1st row19931210
2nd row20110325
3rd row20120601
4th row20070921
5th row19981030
ValueCountFrequency (%)
20010102 109
 
1.5%
19981231 33
 
0.4%
19981208 19
 
0.3%
19981019 16
 
0.2%
19981125 15
 
0.2%
19981026 12
 
0.2%
19890406 11
 
0.1%
19981028 10
 
0.1%
19981029 10
 
0.1%
20091118 9
 
0.1%
Other values (4185) 7258
96.7%
2024-04-16T14:43:26.550841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 19274
32.1%
1 11943
19.9%
2 11884
19.8%
9 3863
 
6.4%
8 2538
 
4.2%
3 2297
 
3.8%
7 2197
 
3.7%
6 2052
 
3.4%
5 1983
 
3.3%
4 1967
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 59998
> 99.9%
Space Separator 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 19274
32.1%
1 11943
19.9%
2 11884
19.8%
9 3863
 
6.4%
8 2538
 
4.2%
3 2297
 
3.8%
7 2197
 
3.7%
6 2052
 
3.4%
5 1983
 
3.3%
4 1967
 
3.3%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 60000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 19274
32.1%
1 11943
19.9%
2 11884
19.8%
9 3863
 
6.4%
8 2538
 
4.2%
3 2297
 
3.8%
7 2197
 
3.7%
6 2052
 
3.4%
5 1983
 
3.3%
4 1967
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 60000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 19274
32.1%
1 11943
19.9%
2 11884
19.8%
9 3863
 
6.4%
8 2538
 
4.2%
3 2297
 
3.8%
7 2197
 
3.7%
6 2052
 
3.4%
5 1983
 
3.3%
4 1967
 
3.3%

민원종류명
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2009년11월법개정전자료
3588 
제7조의3제2항에따른경우
3459 
<NA>
2497 
제7조의3제3항에따른경우
456 

Length

Max length14
Median length13
Mean length11.1115
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row2009년11월법개정전자료
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
2009년11월법개정전자료 3588
35.9%
제7조의3제2항에따른경우 3459
34.6%
<NA> 2497
25.0%
제7조의3제3항에따른경우 456
 
4.6%

Length

2024-04-16T14:43:26.678727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T14:43:26.765866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2009년11월법개정전자료 3588
35.9%
제7조의3제2항에따른경우 3459
34.6%
na 2497
25.0%
제7조의3제3항에따른경우 456
 
4.6%

Unnamed: 30
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)지정일자민원종류명Unnamed: 30
1825518256담배소매업11_43_02_P3330000200633300820560000420060703<NA>3폐업2폐업처리20060901<NA><NA><NA>051 7425290<NA><NA>부산광역시 해운대구 우동 622-4호 해운대해수욕장<NA><NA>2호탈의장20080222000000I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA>
1954319544담배소매업11_43_02_P3330000200233300150560104019931210201402204취소/말소/만료/정지/중지3직권취소<NA><NA><NA><NA>051 7816479<NA><NA>부산광역시 해운대구 재송동 1025-8호<NA><NA>황병천20140220102444I2018-08-31 23:59:59.0<NA><NA><NA>199312102009년11월법개정전자료<NA>
1429014291담배소매업11_43_02_P3320000200733200720560001420070216<NA>1영업/정상0정상영업<NA><NA><NA><NA>3324177<NA><NA>부산광역시 북구 만덕동 459번지 1 호부산광역시 북구 구만덕로 60 (만덕동)<NA>우리상회20080222000000I2018-08-31 23:59:59.0<NA>386015.205447192554.910029<NA><NA><NA>
2453824539담배소매업11_43_02_P3350000199933500150560101519990520<NA>3폐업2폐업처리20050117<NA><NA><NA>051 5259061<NA><NA>부산광역시 금정구 서동 161번지 27호부산광역시 금정구 서동로103번길 41 (서동)<NA>윤선자20080222000000I2018-08-31 23:59:59.0<NA>391085.414414193007.101637<NA><NA><NA>
17761777담배소매업11_43_02_P3260000200132600490561810020010328<NA>3폐업2폐업처리20050225<NA><NA><NA>051 3301501<NA><NA>부산광역시 서구 암남동 705호부산광역시 서구 원양로 295 (암남동)<NA>탑마트20080222000000I2018-08-31 23:59:59.0<NA>382821.270534177260.504834<NA><NA><NA>
1492314924담배소매업11_43_02_P3320000201133200880560001720110325<NA>3폐업2폐업처리20110627<NA><NA><NA>051-338-7325<NA>616100부산광역시 북구 덕천동 403번지 1호부산광역시 북구 덕천1길 6 (덕천동)<NA>하이센스20110627174047I2018-08-31 23:59:59.0<NA>382589.13457191873.05796820110325제7조의3제2항에따른경우<NA>
2125621257담배소매업11_43_02_P3340000201233400800560003020120601<NA>3폐업2폐업처리20121026<NA><NA><NA><NA><NA>604816부산광역시 사하구 괴정4동 1227번지 1호부산광역시 사하구 괴정로 146 (괴정동)604816포시즌20121026170745I2018-08-31 23:59:59.0<NA>380281.682018179577.01180220120601제7조의3제2항에따른경우<NA>
1808018081담배소매업11_43_02_P3330000200733300820560012420070921<NA>3폐업2폐업처리20121122<NA><NA><NA><NA><NA>612040부산광역시 해운대구 송정동 441번지 21호부산광역시 해운대구 송정광어골로 62 (송정동)<NA>GS25송정점20121122155300I2018-08-31 23:59:59.0<NA>399966.008315188530.813889200709212009년11월법개정전자료<NA>
2457224573담배소매업11_43_02_P3350000199833500150561408219981030<NA>3폐업2폐업처리20090408<NA><NA><NA>051 5153603<NA><NA>부산광역시 금정구 구서동 161번지 18호부산광역시 금정구 두실로15번길 19 (구서동)<NA>이진관20090407205947I2018-08-31 23:59:59.0<NA>390106.054555197600.675923199810302009년11월법개정전자료<NA>
96619662담배소매업11_43_02_P3300000200233000160560029219981029<NA>3폐업2폐업처리20180731<NA><NA><NA>558-2139<NA><NA>부산광역시 동래구 온천동 1428번지 3 호부산광역시 동래구 우장춘로4번길 20 (온천동)<NA>일광전기철물20180731102429I2018-08-31 23:59:59.0<NA>388566.679681191812.18874719981029제7조의3제2항에따른경우<NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)지정일자민원종류명Unnamed: 30
78157816담배소매업11_43_02_P3290000201232901070560001720121123<NA>3폐업2폐업처리20171120<NA><NA><NA><NA><NA>614041부산광역시 부산진구 전포1동 687번지 1호부산광역시 부산진구 전포대로 209-7 (전포동)614041세븐일레븐부산서면전포점20171120170100I2018-08-31 23:59:59.0<NA>388069.983569185963.81858620121123제7조의3제2항에따른경우<NA>
2148321484담배소매업11_43_02_P3340000200233400170560130620020321<NA>3폐업2폐업처리20180515<NA><NA><NA>051 2012587<NA><NA>부산광역시 사하구 신평동 82번지 125호부산광역시 사하구 다대로142번길 32 (신평동)49441롯데슈퍼20180515145524I2018-08-31 23:59:59.0<NA>380195.61998178624.520402200203212009년11월법개정전자료<NA>
34763477담배소매업11_43_02_P3270000200232700140560004419811123<NA>3폐업2폐업처리20031231<NA><NA><NA>051 4690988<NA><NA>부산광역시 동구 초량동 1064-62호<NA><NA>정우슈퍼20080222000000I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA>
42284229담배소매업11_43_02_P3280000201432800920560000320140307<NA>3폐업2폐업처리20140825<NA><NA><NA><NA><NA>606810부산광역시 영도구 봉래동4가 117번지 1호부산광역시 영도구 태종로 162-1 (봉래동4가)606810노란 떡볶이20140825151736I2018-08-31 23:59:59.0<NA>386537.653038179075.77450320140307제7조의3제2항에따른경우<NA>
2094320944담배소매업11_43_02_P3340000201033400660560001520100325<NA>3폐업2폐업처리20170515<NA><NA><NA>204-6895<NA><NA>부산광역시 사하구 괴정동 1078번지 1호 성림맨션 상가1층부산광역시 사하구 마하로 36 (괴정동, 성림맨션)49344킹마트20170515154626I2018-08-31 23:59:59.0<NA>380749.4289179980.93101420100325제7조의3제3항에따른경우<NA>
89208921담배소매업11_43_02_P3290000200332900130560028920030430201210244취소/말소/만료/정지/중지5지정취소<NA><NA><NA><NA>051 8041943<NA><NA>부산광역시 부산진구 부전동 194번지 4 호부산광역시 부산진구 중앙대로692번길 4 (부전동)<NA>태화상회20121024135624I2018-08-31 23:59:59.0<NA>387592.498592185853.631454200304302009년11월법개정전자료<NA>
2356723568담배소매업11_43_02_P3350000201033500850560001420100902<NA>3폐업2폐업처리20130213<NA><NA><NA>051-513-6626<NA>609815부산광역시 금정구 남산동 974번지 28호 지하1층부산광역시 금정구 금강로709번길 35 (남산동,지하1층)<NA>탑세일마트20130214144229I2018-08-31 23:59:59.0<NA>389837.427145198812.97012920100902제7조의3제2항에따른경우<NA>
1246612467담배소매업11_43_02_P3310000201033100820560005120100707<NA>3폐업2폐업처리20180305<NA><NA><NA>051-621-0761<NA>608810부산광역시 남구 대연3동 563번지 2호 새대연상가 104~127호(106호 제외)부산광역시 남구 용소로64번길 21 (대연동,새대연상가 104~127호(106호 제외))<NA>한국원마트20180305155553I2018-08-31 23:59:59.0<NA>391347.143406183396.72942520100707제7조의3제2항에따른경우<NA>
79877988담배소매업11_43_02_P3290000200132900130560014920010929<NA>3폐업2폐업처리20050607<NA><NA><NA>051 8645698<NA><NA>부산광역시 부산진구 양정동 366번지 20호부산광역시 부산진구 양지로 24-17 (양정동)<NA>부원상회20080222000000I2018-08-31 23:59:59.0<NA>388478.799857187392.753314<NA><NA><NA>
1711117112담배소매업11_43_02_P3330000202033301510560002820200605<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 재송동 1146번지 47호부산광역시 해운대구 재반로152번길 8-7 (재송동)48053지에스25 해운스카이점20200605102519I2020-06-07 00:23:18.0<NA>393795.649187190079.36992420200605제7조의3제2항에따른경우<NA>