Overview

Dataset statistics

Number of variables48
Number of observations717
Missing cells6780
Missing cells (%)19.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory289.3 KiB
Average record size in memory413.2 B

Variable types

Numeric10
Categorical22
Text6
Unsupported8
DateTime1
Boolean1

Dataset

Description2022-11-01
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20230901050101123106

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
업태구분명 is highly imbalanced (96.6%)Imbalance
위생업태명 is highly imbalanced (96.6%)Imbalance
남성종사자수 is highly imbalanced (55.2%)Imbalance
영업장주변구분명 is highly imbalanced (58.8%)Imbalance
총직원수 is highly imbalanced (59.0%)Imbalance
공장사무직직원수 is highly imbalanced (50.2%)Imbalance
공장판매직직원수 is highly imbalanced (60.3%)Imbalance
인허가취소일자 has 717 (100.0%) missing valuesMissing
폐업일자 has 357 (49.8%) missing valuesMissing
휴업시작일자 has 717 (100.0%) missing valuesMissing
휴업종료일자 has 717 (100.0%) missing valuesMissing
재개업일자 has 717 (100.0%) missing valuesMissing
소재지전화 has 83 (11.6%) missing valuesMissing
소재지면적 has 109 (15.2%) missing valuesMissing
소재지우편번호 has 15 (2.1%) missing valuesMissing
도로명전체주소 has 205 (28.6%) missing valuesMissing
도로명우편번호 has 217 (30.3%) missing valuesMissing
좌표정보(x) has 29 (4.0%) missing valuesMissing
좌표정보(y) has 29 (4.0%) missing valuesMissing
전통업소지정번호 has 717 (100.0%) missing valuesMissing
전통업소주된음식 has 717 (100.0%) missing valuesMissing
홈페이지 has 717 (100.0%) missing valuesMissing
Unnamed: 47 has 717 (100.0%) missing valuesMissing
번호 has unique valuesUnique
관리번호 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 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
전통업소지정번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
전통업소주된음식 is an unsupported type, check if it needs cleaning or further analysisUnsupported
홈페이지 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 47 is an unsupported type, check if it needs cleaning or further analysisUnsupported
시설총규모 has 574 (80.1%) zerosZeros

Reproduction

Analysis started2024-04-21 07:27:49.918024
Analysis finished2024-04-21 07:27:51.485279
Duration1.57 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct717
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean359
Minimum1
Maximum717
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.4 KiB
2024-04-21T16:27:51.656830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile36.8
Q1180
median359
Q3538
95-th percentile681.2
Maximum717
Range716
Interquartile range (IQR)358

Descriptive statistics

Standard deviation207.12436
Coefficient of variation (CV)0.57694807
Kurtosis-1.2
Mean359
Median Absolute Deviation (MAD)179
Skewness0
Sum257403
Variance42900.5
MonotonicityStrictly increasing
2024-04-21T16:27:52.167570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
494 1
 
0.1%
474 1
 
0.1%
475 1
 
0.1%
476 1
 
0.1%
477 1
 
0.1%
478 1
 
0.1%
479 1
 
0.1%
480 1
 
0.1%
481 1
 
0.1%
Other values (707) 707
98.6%
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 (%)
717 1
0.1%
716 1
0.1%
715 1
0.1%
714 1
0.1%
713 1
0.1%
712 1
0.1%
711 1
0.1%
710 1
0.1%
709 1
0.1%
708 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
식품판매업(기타)
717 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row식품판매업(기타)
2nd row식품판매업(기타)
3rd row식품판매업(기타)
4th row식품판매업(기타)
5th row식품판매업(기타)

Common Values

ValueCountFrequency (%)
식품판매업(기타) 717
100.0%

Length

2024-04-21T16:27:52.456309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:27:52.655617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품판매업(기타 717
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
07_22_13_P
717 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row07_22_13_P
2nd row07_22_13_P
3rd row07_22_13_P
4th row07_22_13_P
5th row07_22_13_P

Common Values

ValueCountFrequency (%)
07_22_13_P 717
100.0%

Length

2024-04-21T16:27:52.864532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:27:53.062358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
07_22_13_p 717
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3333626.2
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.4 KiB
2024-04-21T16:27:53.247351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3250000
5-th percentile3270000
Q13310000
median3330000
Q33360000
95-th percentile3400000
Maximum3400000
Range150000
Interquartile range (IQR)50000

Descriptive statistics

Standard deviation38566.706
Coefficient of variation (CV)0.011568995
Kurtosis-0.73644863
Mean3333626.2
Median Absolute Deviation (MAD)30000
Skewness0.0094815385
Sum2.39021 × 109
Variance1.4873908 × 109
MonotonicityNot monotonic
2024-04-21T16:27:53.493217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3320000 97
13.5%
3340000 74
10.3%
3330000 66
9.2%
3290000 64
8.9%
3390000 55
7.7%
3350000 55
7.7%
3400000 47
 
6.6%
3300000 45
 
6.3%
3310000 43
 
6.0%
3380000 37
 
5.2%
Other values (6) 134
18.7%
ValueCountFrequency (%)
3250000 16
 
2.2%
3260000 12
 
1.7%
3270000 11
 
1.5%
3280000 29
 
4.0%
3290000 64
8.9%
3300000 45
6.3%
3310000 43
6.0%
3320000 97
13.5%
3330000 66
9.2%
3340000 74
10.3%
ValueCountFrequency (%)
3400000 47
6.6%
3390000 55
7.7%
3380000 37
 
5.2%
3370000 31
 
4.3%
3360000 35
 
4.9%
3350000 55
7.7%
3340000 74
10.3%
3330000 66
9.2%
3320000 97
13.5%
3310000 43
6.0%

관리번호
Text

UNIQUE 

Distinct717
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
2024-04-21T16:27:54.187825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters15774
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

Unique717 ?
Unique (%)100.0%

Sample

1st row3250000-114-2000-00002
2nd row3250000-114-1996-00414
3rd row3250000-114-1996-00416
4th row3250000-114-2011-00001
5th row3250000-114-2014-00001
ValueCountFrequency (%)
3250000-114-2000-00002 1
 
0.1%
3310000-114-2002-00646 1
 
0.1%
3320000-114-1996-00158 1
 
0.1%
3320000-114-1996-00352 1
 
0.1%
3320000-114-1996-00155 1
 
0.1%
3320000-114-1996-00354 1
 
0.1%
3320000-114-1996-00357 1
 
0.1%
3320000-114-1996-00356 1
 
0.1%
3320000-114-1996-00358 1
 
0.1%
3320000-114-1996-00359 1
 
0.1%
Other values (707) 707
98.6%
2024-04-21T16:27:55.343805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6177
39.2%
1 2328
 
14.8%
- 2151
 
13.6%
3 1562
 
9.9%
2 1054
 
6.7%
4 1003
 
6.4%
9 609
 
3.9%
6 290
 
1.8%
5 230
 
1.5%
7 190
 
1.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 13623
86.4%
Dash Punctuation 2151
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6177
45.3%
1 2328
 
17.1%
3 1562
 
11.5%
2 1054
 
7.7%
4 1003
 
7.4%
9 609
 
4.5%
6 290
 
2.1%
5 230
 
1.7%
7 190
 
1.4%
8 180
 
1.3%
Dash Punctuation
ValueCountFrequency (%)
- 2151
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 15774
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6177
39.2%
1 2328
 
14.8%
- 2151
 
13.6%
3 1562
 
9.9%
2 1054
 
6.7%
4 1003
 
6.4%
9 609
 
3.9%
6 290
 
1.8%
5 230
 
1.5%
7 190
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15774
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6177
39.2%
1 2328
 
14.8%
- 2151
 
13.6%
3 1562
 
9.9%
2 1054
 
6.7%
4 1003
 
6.4%
9 609
 
3.9%
6 290
 
1.8%
5 230
 
1.5%
7 190
 
1.2%

인허가일자
Real number (ℝ)

Distinct640
Distinct (%)89.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20071353
Minimum19850909
Maximum20220812
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.4 KiB
2024-04-21T16:27:55.629347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19850909
5-th percentile19960618
Q119990518
median20071207
Q320141209
95-th percentile20201015
Maximum20220812
Range369903
Interquartile range (IQR)150691

Descriptive statistics

Standard deviation84828.423
Coefficient of variation (CV)0.004226343
Kurtosis-1.2636995
Mean20071353
Median Absolute Deviation (MAD)79306
Skewness0.027823777
Sum1.439116 × 1010
Variance7.1958613 × 109
MonotonicityNot monotonic
2024-04-21T16:27:55.891032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19960620 5
 
0.7%
19960619 5
 
0.7%
19960710 4
 
0.6%
19990622 3
 
0.4%
19960617 3
 
0.4%
19960722 3
 
0.4%
19960625 3
 
0.4%
19960923 3
 
0.4%
20000124 3
 
0.4%
20100908 2
 
0.3%
Other values (630) 683
95.3%
ValueCountFrequency (%)
19850909 1
0.1%
19890702 1
0.1%
19900314 1
0.1%
19920123 1
0.1%
19921230 1
0.1%
19930324 1
0.1%
19930524 1
0.1%
19931229 2
0.3%
19940215 1
0.1%
19940325 1
0.1%
ValueCountFrequency (%)
20220812 1
0.1%
20220622 1
0.1%
20220614 1
0.1%
20220527 1
0.1%
20220525 2
0.3%
20220517 1
0.1%
20220117 1
0.1%
20211025 1
0.1%
20210824 1
0.1%
20210812 1
0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing717
Missing (%)100.0%
Memory size6.4 KiB
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
3
360 
1
357 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 360
50.2%
1 357
49.8%

Length

2024-04-21T16:27:56.132178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:27:56.316313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 360
50.2%
1 357
49.8%

영업상태명
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
폐업
360 
영업/정상
357 

Length

Max length5
Median length2
Mean length3.4937238
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 360
50.2%
영업/정상 357
49.8%

Length

2024-04-21T16:27:56.535946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:27:56.753211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 360
50.2%
영업/정상 357
49.8%
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
2
360 
1
357 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 360
50.2%
1 357
49.8%

Length

2024-04-21T16:27:56.956898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:27:57.132189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 360
50.2%
1 357
49.8%
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
폐업
360 
영업
357 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 360
50.2%
영업 357
49.8%

Length

2024-04-21T16:27:57.312926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:27:57.489708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 360
50.2%
영업 357
49.8%

폐업일자
Real number (ℝ)

MISSING 

Distinct306
Distinct (%)85.0%
Missing357
Missing (%)49.8%
Infinite0
Infinite (%)0.0%
Mean20106168
Minimum19941010
Maximum20220929
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.4 KiB
2024-04-21T16:27:57.684086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19941010
5-th percentile19999654
Q120051124
median20100607
Q320180322
95-th percentile20210616
Maximum20220929
Range279919
Interquartile range (IQR)129198

Descriptive statistics

Standard deviation74048.756
Coefficient of variation (CV)0.0036828875
Kurtosis-1.2726176
Mean20106168
Median Absolute Deviation (MAD)60442
Skewness-0.030918683
Sum7.2382206 × 109
Variance5.4832183 × 109
MonotonicityNot monotonic
2024-04-21T16:27:57.935621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20051128 37
 
5.2%
20100607 5
 
0.7%
20050614 4
 
0.6%
20140120 2
 
0.3%
20140102 2
 
0.3%
20210303 2
 
0.3%
20140725 2
 
0.3%
20120221 2
 
0.3%
20000609 2
 
0.3%
20100701 2
 
0.3%
Other values (296) 300
41.8%
(Missing) 357
49.8%
ValueCountFrequency (%)
19941010 1
0.1%
19951107 1
0.1%
19960830 1
0.1%
19961101 1
0.1%
19970402 1
0.1%
19970424 1
0.1%
19970620 1
0.1%
19980220 1
0.1%
19980521 1
0.1%
19981102 1
0.1%
ValueCountFrequency (%)
20220929 1
0.1%
20220816 1
0.1%
20220812 1
0.1%
20220729 1
0.1%
20220715 1
0.1%
20220615 1
0.1%
20220609 1
0.1%
20220607 1
0.1%
20220603 1
0.1%
20220321 1
0.1%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing717
Missing (%)100.0%
Memory size6.4 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing717
Missing (%)100.0%
Memory size6.4 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing717
Missing (%)100.0%
Memory size6.4 KiB

소재지전화
Text

MISSING 

Distinct566
Distinct (%)89.3%
Missing83
Missing (%)11.6%
Memory size5.7 KiB
2024-04-21T16:27:59.028744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.682965
Min length1

Characters and Unicode

Total characters6773
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

Unique548 ?
Unique (%)86.4%

Sample

1st row051 2488106
2nd row051 2507700
3rd row051 2454900
4th row051 2421577
5th row051 254 0035
ValueCountFrequency (%)
051 575
39.4%
727 8
 
0.5%
724 6
 
0.4%
728 5
 
0.3%
343 5
 
0.3%
897 4
 
0.3%
515 4
 
0.3%
759 4
 
0.3%
782 4
 
0.3%
271 4
 
0.3%
Other values (713) 841
57.6%
2024-04-21T16:28:00.319329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1226
18.1%
5 1062
15.7%
1 1013
15.0%
839
12.4%
2 519
7.7%
3 421
 
6.2%
8 372
 
5.5%
7 368
 
5.4%
4 343
 
5.1%
6 337
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5934
87.6%
Space Separator 839
 
12.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1226
20.7%
5 1062
17.9%
1 1013
17.1%
2 519
8.7%
3 421
 
7.1%
8 372
 
6.3%
7 368
 
6.2%
4 343
 
5.8%
6 337
 
5.7%
9 273
 
4.6%
Space Separator
ValueCountFrequency (%)
839
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6773
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1226
18.1%
5 1062
15.7%
1 1013
15.0%
839
12.4%
2 519
7.7%
3 421
 
6.2%
8 372
 
5.5%
7 368
 
5.4%
4 343
 
5.1%
6 337
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6773
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1226
18.1%
5 1062
15.7%
1 1013
15.0%
839
12.4%
2 519
7.7%
3 421
 
6.2%
8 372
 
5.5%
7 368
 
5.4%
4 343
 
5.1%
6 337
 
5.0%

소재지면적
Text

MISSING 

Distinct561
Distinct (%)92.3%
Missing109
Missing (%)15.2%
Memory size5.7 KiB
2024-04-21T16:28:01.603086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length6
Mean length6.2269737
Min length3

Characters and Unicode

Total characters3786
Distinct characters12
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

Unique531 ?
Unique (%)87.3%

Sample

1st row565.36
2nd row2,405.07
3rd row473.37
4th row530.19
5th row963.00
ValueCountFrequency (%)
00 18
 
3.0%
396.00 3
 
0.5%
660.00 2
 
0.3%
445.50 2
 
0.3%
580.80 2
 
0.3%
755.00 2
 
0.3%
570.00 2
 
0.3%
536.14 2
 
0.3%
407.87 2
 
0.3%
663.50 2
 
0.3%
Other values (551) 571
93.9%
2024-04-21T16:28:03.007653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 638
16.9%
. 608
16.1%
3 320
8.5%
5 301
8.0%
4 284
7.5%
6 281
7.4%
7 265
7.0%
2 253
 
6.7%
9 250
 
6.6%
1 246
 
6.5%
Other values (2) 340
9.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3074
81.2%
Other Punctuation 712
 
18.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 638
20.8%
3 320
10.4%
5 301
9.8%
4 284
9.2%
6 281
9.1%
7 265
8.6%
2 253
 
8.2%
9 250
 
8.1%
1 246
 
8.0%
8 236
 
7.7%
Other Punctuation
ValueCountFrequency (%)
. 608
85.4%
, 104
 
14.6%

Most occurring scripts

ValueCountFrequency (%)
Common 3786
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 638
16.9%
. 608
16.1%
3 320
8.5%
5 301
8.0%
4 284
7.5%
6 281
7.4%
7 265
7.0%
2 253
 
6.7%
9 250
 
6.6%
1 246
 
6.5%
Other values (2) 340
9.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3786
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 638
16.9%
. 608
16.1%
3 320
8.5%
5 301
8.0%
4 284
7.5%
6 281
7.4%
7 265
7.0%
2 253
 
6.7%
9 250
 
6.6%
1 246
 
6.5%
Other values (2) 340
9.0%

소재지우편번호
Real number (ℝ)

MISSING 

Distinct347
Distinct (%)49.4%
Missing15
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean611994.21
Minimum600016
Maximum619953
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.4 KiB
2024-04-21T16:28:03.280539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum600016
5-th percentile602808.2
Q1607833
median612827
Q3616816
95-th percentile618814
Maximum619953
Range19937
Interquartile range (IQR)8983

Descriptive statistics

Standard deviation5211.2161
Coefficient of variation (CV)0.0085151396
Kurtosis-0.88140003
Mean611994.21
Median Absolute Deviation (MAD)4004
Skewness-0.38030574
Sum4.2961993 × 108
Variance27156773
MonotonicityNot monotonic
2024-04-21T16:28:03.560366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
618814 10
 
1.4%
616826 8
 
1.1%
618200 7
 
1.0%
616807 7
 
1.0%
616829 7
 
1.0%
617808 7
 
1.0%
608832 6
 
0.8%
616827 6
 
0.8%
616846 6
 
0.8%
612824 6
 
0.8%
Other values (337) 632
88.1%
(Missing) 15
 
2.1%
ValueCountFrequency (%)
600016 2
0.3%
600017 2
0.3%
600044 1
 
0.1%
600046 4
0.6%
600061 2
0.3%
600074 2
0.3%
600805 1
 
0.1%
600806 1
 
0.1%
600815 1
 
0.1%
601060 2
0.3%
ValueCountFrequency (%)
619953 1
 
0.1%
619952 3
0.4%
619951 3
0.4%
619912 2
 
0.3%
619911 1
 
0.1%
619906 3
0.4%
619905 3
0.4%
619903 6
0.8%
619902 4
0.6%
619901 4
0.6%
Distinct646
Distinct (%)90.1%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
2024-04-21T16:28:04.651186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length44
Mean length22.097629
Min length14

Characters and Unicode

Total characters15844
Distinct characters257
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

Unique581 ?
Unique (%)81.0%

Sample

1st row부산광역시 중구 남포동6가 3 신천지백화점 1층
2nd row부산광역시 중구 남포동6가 1-0
3rd row부산광역시 중구 부평동2가 16
4th row부산광역시 중구 신창동1가 1-3 외 1필지
5th row부산광역시 중구 중앙동7가 20-1 롯데몰 마트시네마동 롯데마트광복점 지하2층
ValueCountFrequency (%)
부산광역시 717
 
21.7%
북구 97
 
2.9%
사하구 74
 
2.2%
해운대구 66
 
2.0%
부산진구 64
 
1.9%
금정구 55
 
1.7%
사상구 55
 
1.7%
기장군 47
 
1.4%
동래구 45
 
1.4%
남구 43
 
1.3%
Other values (943) 2035
61.7%
2024-04-21T16:28:06.294330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2582
 
16.3%
840
 
5.3%
829
 
5.2%
1 804
 
5.1%
788
 
5.0%
741
 
4.7%
734
 
4.6%
718
 
4.5%
715
 
4.5%
- 578
 
3.6%
Other values (247) 6515
41.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9173
57.9%
Decimal Number 3377
 
21.3%
Space Separator 2582
 
16.3%
Dash Punctuation 578
 
3.6%
Other Punctuation 42
 
0.3%
Uppercase Letter 41
 
0.3%
Open Punctuation 23
 
0.1%
Close Punctuation 23
 
0.1%
Math Symbol 4
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
840
 
9.2%
829
 
9.0%
788
 
8.6%
741
 
8.1%
734
 
8.0%
718
 
7.8%
715
 
7.8%
145
 
1.6%
131
 
1.4%
130
 
1.4%
Other values (220) 3402
37.1%
Decimal Number
ValueCountFrequency (%)
1 804
23.8%
2 413
12.2%
3 375
11.1%
5 308
 
9.1%
0 287
 
8.5%
4 286
 
8.5%
8 243
 
7.2%
6 230
 
6.8%
7 230
 
6.8%
9 201
 
6.0%
Uppercase Letter
ValueCountFrequency (%)
B 18
43.9%
T 7
 
17.1%
G 4
 
9.8%
A 3
 
7.3%
S 2
 
4.9%
L 2
 
4.9%
H 2
 
4.9%
K 2
 
4.9%
C 1
 
2.4%
Other Punctuation
ValueCountFrequency (%)
, 38
90.5%
@ 4
 
9.5%
Space Separator
ValueCountFrequency (%)
2582
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 578
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9173
57.9%
Common 6629
41.8%
Latin 42
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
840
 
9.2%
829
 
9.0%
788
 
8.6%
741
 
8.1%
734
 
8.0%
718
 
7.8%
715
 
7.8%
145
 
1.6%
131
 
1.4%
130
 
1.4%
Other values (220) 3402
37.1%
Common
ValueCountFrequency (%)
2582
39.0%
1 804
 
12.1%
- 578
 
8.7%
2 413
 
6.2%
3 375
 
5.7%
5 308
 
4.6%
0 287
 
4.3%
4 286
 
4.3%
8 243
 
3.7%
6 230
 
3.5%
Other values (7) 523
 
7.9%
Latin
ValueCountFrequency (%)
B 18
42.9%
T 7
 
16.7%
G 4
 
9.5%
A 3
 
7.1%
S 2
 
4.8%
L 2
 
4.8%
H 2
 
4.8%
K 2
 
4.8%
e 1
 
2.4%
C 1
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9173
57.9%
ASCII 6671
42.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2582
38.7%
1 804
 
12.1%
- 578
 
8.7%
2 413
 
6.2%
3 375
 
5.6%
5 308
 
4.6%
0 287
 
4.3%
4 286
 
4.3%
8 243
 
3.6%
6 230
 
3.4%
Other values (17) 565
 
8.5%
Hangul
ValueCountFrequency (%)
840
 
9.2%
829
 
9.0%
788
 
8.6%
741
 
8.1%
734
 
8.0%
718
 
7.8%
715
 
7.8%
145
 
1.6%
131
 
1.4%
130
 
1.4%
Other values (220) 3402
37.1%

도로명전체주소
Text

MISSING 

Distinct496
Distinct (%)96.9%
Missing205
Missing (%)28.6%
Memory size5.7 KiB
2024-04-21T16:28:07.726662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length52
Mean length30.349609
Min length20

Characters and Unicode

Total characters15539
Distinct characters305
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

Unique480 ?
Unique (%)93.8%

Sample

1st row부산광역시 중구 자갈치로 33, 1층 (남포동6가, 신천지백화점)
2nd row부산광역시 중구 구덕로 73 (남포동6가)
3rd row부산광역시 중구 부평1길 48 (부평동2가)
4th row부산광역시 중구 광복중앙로 33 (신창동1가, 외 1필지)
5th row부산광역시 중구 중앙대로 2, 지하1층 (중앙동7가, 롯데몰 마트시네마동 롯데마트광복점)
ValueCountFrequency (%)
부산광역시 512
 
16.8%
1층 106
 
3.5%
해운대구 55
 
1.8%
사하구 55
 
1.8%
부산진구 48
 
1.6%
금정구 42
 
1.4%
사상구 41
 
1.3%
기장군 37
 
1.2%
지하1층 35
 
1.1%
강서구 35
 
1.1%
Other values (918) 2079
68.3%
2024-04-21T16:28:09.689647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2538
 
16.3%
1 735
 
4.7%
643
 
4.1%
623
 
4.0%
619
 
4.0%
550
 
3.5%
545
 
3.5%
512
 
3.3%
507
 
3.3%
506
 
3.3%
Other values (295) 7761
49.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9226
59.4%
Space Separator 2538
 
16.3%
Decimal Number 2309
 
14.9%
Close Punctuation 490
 
3.2%
Open Punctuation 490
 
3.2%
Other Punctuation 381
 
2.5%
Dash Punctuation 42
 
0.3%
Uppercase Letter 40
 
0.3%
Math Symbol 21
 
0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
643
 
7.0%
623
 
6.8%
619
 
6.7%
550
 
6.0%
545
 
5.9%
512
 
5.5%
507
 
5.5%
506
 
5.5%
235
 
2.5%
216
 
2.3%
Other values (265) 4270
46.3%
Uppercase Letter
ValueCountFrequency (%)
B 17
42.5%
A 6
 
15.0%
C 4
 
10.0%
G 3
 
7.5%
H 2
 
5.0%
K 2
 
5.0%
S 2
 
5.0%
L 1
 
2.5%
T 1
 
2.5%
P 1
 
2.5%
Decimal Number
ValueCountFrequency (%)
1 735
31.8%
2 301
13.0%
3 229
 
9.9%
4 207
 
9.0%
0 203
 
8.8%
5 161
 
7.0%
7 133
 
5.8%
6 124
 
5.4%
9 111
 
4.8%
8 105
 
4.5%
Other Punctuation
ValueCountFrequency (%)
, 379
99.5%
@ 2
 
0.5%
Lowercase Letter
ValueCountFrequency (%)
b 1
50.0%
e 1
50.0%
Space Separator
ValueCountFrequency (%)
2538
100.0%
Close Punctuation
ValueCountFrequency (%)
) 490
100.0%
Open Punctuation
ValueCountFrequency (%)
( 490
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 42
100.0%
Math Symbol
ValueCountFrequency (%)
~ 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9226
59.4%
Common 6271
40.4%
Latin 42
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
643
 
7.0%
623
 
6.8%
619
 
6.7%
550
 
6.0%
545
 
5.9%
512
 
5.5%
507
 
5.5%
506
 
5.5%
235
 
2.5%
216
 
2.3%
Other values (265) 4270
46.3%
Common
ValueCountFrequency (%)
2538
40.5%
1 735
 
11.7%
) 490
 
7.8%
( 490
 
7.8%
, 379
 
6.0%
2 301
 
4.8%
3 229
 
3.7%
4 207
 
3.3%
0 203
 
3.2%
5 161
 
2.6%
Other values (7) 538
 
8.6%
Latin
ValueCountFrequency (%)
B 17
40.5%
A 6
 
14.3%
C 4
 
9.5%
G 3
 
7.1%
H 2
 
4.8%
K 2
 
4.8%
S 2
 
4.8%
L 1
 
2.4%
b 1
 
2.4%
T 1
 
2.4%
Other values (3) 3
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9226
59.4%
ASCII 6313
40.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2538
40.2%
1 735
 
11.6%
) 490
 
7.8%
( 490
 
7.8%
, 379
 
6.0%
2 301
 
4.8%
3 229
 
3.6%
4 207
 
3.3%
0 203
 
3.2%
5 161
 
2.6%
Other values (20) 580
 
9.2%
Hangul
ValueCountFrequency (%)
643
 
7.0%
623
 
6.8%
619
 
6.7%
550
 
6.0%
545
 
5.9%
512
 
5.5%
507
 
5.5%
506
 
5.5%
235
 
2.5%
216
 
2.3%
Other values (265) 4270
46.3%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct374
Distinct (%)74.8%
Missing217
Missing (%)30.3%
Infinite0
Infinite (%)0.0%
Mean47668.846
Minimum46004
Maximum49520
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.4 KiB
2024-04-21T16:28:10.048314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46004
5-th percentile46060.9
Q146757.75
median47599
Q348487.5
95-th percentile49384.25
Maximum49520
Range3516
Interquartile range (IQR)1729.75

Descriptive statistics

Standard deviation1061.0065
Coefficient of variation (CV)0.022257861
Kurtosis-1.1438816
Mean47668.846
Median Absolute Deviation (MAD)856
Skewness0.14675447
Sum23834423
Variance1125734.9
MonotonicityNot monotonic
2024-04-21T16:28:10.312659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
46726 6
 
0.8%
46759 5
 
0.7%
46230 5
 
0.7%
49108 4
 
0.6%
49494 4
 
0.6%
47369 4
 
0.6%
48515 4
 
0.6%
46762 4
 
0.6%
46764 3
 
0.4%
47813 3
 
0.4%
Other values (364) 458
63.9%
(Missing) 217
30.3%
ValueCountFrequency (%)
46004 2
0.3%
46008 2
0.3%
46012 2
0.3%
46015 1
0.1%
46016 1
0.1%
46017 1
0.1%
46021 1
0.1%
46022 1
0.1%
46024 1
0.1%
46029 1
0.1%
ValueCountFrequency (%)
49520 1
 
0.1%
49519 1
 
0.1%
49515 1
 
0.1%
49511 2
0.3%
49497 1
 
0.1%
49496 1
 
0.1%
49494 4
0.6%
49490 1
 
0.1%
49482 1
 
0.1%
49477 2
0.3%
Distinct620
Distinct (%)86.5%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
2024-04-21T16:28:11.044999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length20
Mean length8.3361227
Min length2

Characters and Unicode

Total characters5977
Distinct characters323
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

Unique575 ?
Unique (%)80.2%

Sample

1st row자갈치 탑마트
2nd row(주)농협유통 하나로마트 자갈치점
3rd row(주)프로유통(빅세일마트)
4th row가람리테일
5th row롯데쇼핑(주)롯데마트광복점
ValueCountFrequency (%)
탑마트 19
 
2.0%
주)서원유통 19
 
2.0%
탑플러스마트 13
 
1.4%
롯데쇼핑(주)롯데슈퍼 12
 
1.3%
빅세일마트 11
 
1.2%
탑세일마트 10
 
1.1%
주)지에스리테일 9
 
1.0%
더마트 9
 
1.0%
농축산마트 8
 
0.9%
홈플러스(주 7
 
0.7%
Other values (662) 817
87.5%
2024-04-21T16:28:12.195522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
475
 
7.9%
469
 
7.8%
) 285
 
4.8%
283
 
4.7%
( 282
 
4.7%
259
 
4.3%
217
 
3.6%
164
 
2.7%
92
 
1.5%
90
 
1.5%
Other values (313) 3361
56.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5094
85.2%
Close Punctuation 285
 
4.8%
Open Punctuation 282
 
4.7%
Space Separator 217
 
3.6%
Uppercase Letter 71
 
1.2%
Decimal Number 18
 
0.3%
Other Punctuation 4
 
0.1%
Lowercase Letter 3
 
0.1%
Dash Punctuation 2
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
475
 
9.3%
469
 
9.2%
283
 
5.6%
259
 
5.1%
164
 
3.2%
92
 
1.8%
90
 
1.8%
75
 
1.5%
74
 
1.5%
73
 
1.4%
Other values (278) 3040
59.7%
Uppercase Letter
ValueCountFrequency (%)
S 17
23.9%
G 11
15.5%
C 9
12.7%
K 5
 
7.0%
M 5
 
7.0%
J 4
 
5.6%
H 3
 
4.2%
L 3
 
4.2%
T 2
 
2.8%
E 2
 
2.8%
Other values (7) 10
14.1%
Decimal Number
ValueCountFrequency (%)
2 9
50.0%
1 3
 
16.7%
3 2
 
11.1%
4 1
 
5.6%
5 1
 
5.6%
6 1
 
5.6%
7 1
 
5.6%
Other Punctuation
ValueCountFrequency (%)
. 2
50.0%
& 1
25.0%
, 1
25.0%
Lowercase Letter
ValueCountFrequency (%)
o 1
33.3%
n 1
33.3%
e 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 285
100.0%
Open Punctuation
ValueCountFrequency (%)
( 282
100.0%
Space Separator
ValueCountFrequency (%)
217
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5094
85.2%
Common 809
 
13.5%
Latin 74
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
475
 
9.3%
469
 
9.2%
283
 
5.6%
259
 
5.1%
164
 
3.2%
92
 
1.8%
90
 
1.8%
75
 
1.5%
74
 
1.5%
73
 
1.4%
Other values (278) 3040
59.7%
Latin
ValueCountFrequency (%)
S 17
23.0%
G 11
14.9%
C 9
12.2%
K 5
 
6.8%
M 5
 
6.8%
J 4
 
5.4%
H 3
 
4.1%
L 3
 
4.1%
T 2
 
2.7%
E 2
 
2.7%
Other values (10) 13
17.6%
Common
ValueCountFrequency (%)
) 285
35.2%
( 282
34.9%
217
26.8%
2 9
 
1.1%
1 3
 
0.4%
3 2
 
0.2%
- 2
 
0.2%
. 2
 
0.2%
4 1
 
0.1%
& 1
 
0.1%
Other values (5) 5
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5094
85.2%
ASCII 883
 
14.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
475
 
9.3%
469
 
9.2%
283
 
5.6%
259
 
5.1%
164
 
3.2%
92
 
1.8%
90
 
1.8%
75
 
1.5%
74
 
1.5%
73
 
1.4%
Other values (278) 3040
59.7%
ASCII
ValueCountFrequency (%)
) 285
32.3%
( 282
31.9%
217
24.6%
S 17
 
1.9%
G 11
 
1.2%
2 9
 
1.0%
C 9
 
1.0%
K 5
 
0.6%
M 5
 
0.6%
J 4
 
0.5%
Other values (25) 39
 
4.4%

최종수정시점
Real number (ℝ)

Distinct636
Distinct (%)88.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0146116 × 1013
Minimum1.9990607 × 1013
Maximum2.0220929 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.4 KiB
2024-04-21T16:28:12.602682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.9990607 × 1013
5-th percentile2.0010728 × 1013
Q12.0090423 × 1013
median2.0180409 × 1013
Q32.0210407 × 1013
95-th percentile2.0220621 × 1013
Maximum2.0220929 × 1013
Range2.3032218 × 1011
Interquartile range (IQR)1.1998401 × 1011

Descriptive statistics

Standard deviation7.4521189 × 1010
Coefficient of variation (CV)0.003699035
Kurtosis-0.9698831
Mean2.0146116 × 1013
Median Absolute Deviation (MAD)3.9794978 × 1010
Skewness-0.75167527
Sum1.4444765 × 1016
Variance5.5534077 × 1021
MonotonicityNot monotonic
2024-04-21T16:28:13.063410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20020305000000 19
 
2.6%
20010728000000 13
 
1.8%
20010511000000 12
 
1.7%
20010510000000 10
 
1.4%
20010731000000 7
 
1.0%
20020731000000 6
 
0.8%
20020225000000 6
 
0.8%
20040618000000 5
 
0.7%
20020802000000 3
 
0.4%
20020608000000 3
 
0.4%
Other values (626) 633
88.3%
ValueCountFrequency (%)
19990607000000 1
 
0.1%
20010411000000 1
 
0.1%
20010510000000 10
1.4%
20010511000000 12
1.7%
20010716000000 1
 
0.1%
20010728000000 13
1.8%
20010731000000 7
1.0%
20010822000000 1
 
0.1%
20010823000000 1
 
0.1%
20010920000000 1
 
0.1%
ValueCountFrequency (%)
20220929175441 1
0.1%
20220929141017 1
0.1%
20220926154255 1
0.1%
20220826154749 1
0.1%
20220822175332 1
0.1%
20220822133636 1
0.1%
20220816132158 1
0.1%
20220812144139 1
0.1%
20220808171556 1
0.1%
20220729130223 1
0.1%
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
I
398 
U
319 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 398
55.5%
U 319
44.5%

Length

2024-04-21T16:28:13.729311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:28:14.052608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 398
55.5%
u 319
44.5%
Distinct250
Distinct (%)34.9%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
Minimum2018-08-31 23:59:59
Maximum2022-10-01 02:40:00
2024-04-21T16:28:14.395050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T16:28:14.851350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
기타식품판매업
713 
식품조사처리업
 
3
<NA>
 
1

Length

Max length7
Median length7
Mean length6.9958159
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
기타식품판매업 713
99.4%
식품조사처리업 3
 
0.4%
<NA> 1
 
0.1%

Length

2024-04-21T16:28:15.213088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:28:15.428372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타식품판매업 713
99.4%
식품조사처리업 3
 
0.4%
na 1
 
0.1%

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct553
Distinct (%)80.4%
Missing29
Missing (%)4.0%
Infinite0
Infinite (%)0.0%
Mean387545.37
Minimum366779.27
Maximum409357.26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.4 KiB
2024-04-21T16:28:15.636218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum366779.27
5-th percentile378624.1
Q1382690.25
median387877.23
Q3391645.67
95-th percentile399076.18
Maximum409357.26
Range42577.984
Interquartile range (IQR)8955.42

Descriptive statistics

Standard deviation6847.3876
Coefficient of variation (CV)0.017668609
Kurtosis0.39689923
Mean387545.37
Median Absolute Deviation (MAD)4500.3503
Skewness0.12963183
Sum2.6663121 × 108
Variance46886718
MonotonicityNot monotonic
2024-04-21T16:28:15.891702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
390057.531834683 3
 
0.4%
380214.174893599 3
 
0.4%
387274.123524645 3
 
0.4%
390038.68419681 3
 
0.4%
387887.847333871 3
 
0.4%
389016.879191556 3
 
0.4%
390241.469793416 3
 
0.4%
385770.215097102 3
 
0.4%
385248.617963518 3
 
0.4%
392378.665367078 3
 
0.4%
Other values (543) 658
91.8%
(Missing) 29
 
4.0%
ValueCountFrequency (%)
366779.273666901 1
0.1%
366799.216536177 1
0.1%
366829.531355754 1
0.1%
368045.907990854 1
0.1%
369120.976733162 1
0.1%
371059.782971609 1
0.1%
371178.823833358 2
0.3%
371213.53898747 1
0.1%
371340.785805731 2
0.3%
371572.909768186 1
0.1%
ValueCountFrequency (%)
409357.257713329 1
0.1%
407434.691805327 1
0.1%
407418.648415535 1
0.1%
407291.08814632 1
0.1%
407245.567193252 2
0.3%
405376.494345932 1
0.1%
404088.637899457 1
0.1%
403214.461974909 1
0.1%
403206.588717483 1
0.1%
402168.434114938 1
0.1%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct553
Distinct (%)80.4%
Missing29
Missing (%)4.0%
Infinite0
Infinite (%)0.0%
Mean187569.47
Minimum174289.98
Maximum206150.93
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.4 KiB
2024-04-21T16:28:16.150846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum174289.98
5-th percentile177657.19
Q1182992.2
median187658.93
Q3191805.86
95-th percentile197865.68
Maximum206150.93
Range31860.948
Interquartile range (IQR)8813.6623

Descriptive statistics

Standard deviation6537.971
Coefficient of variation (CV)0.034856264
Kurtosis0.00010780806
Mean187569.47
Median Absolute Deviation (MAD)4233.6983
Skewness0.31158937
Sum1.2904779 × 108
Variance42745065
MonotonicityNot monotonic
2024-04-21T16:28:16.408016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
196950.450593302 3
 
0.4%
182729.264942974 3
 
0.4%
184575.633639399 3
 
0.4%
191142.980733675 3
 
0.4%
187966.542955171 3
 
0.4%
176951.726317049 3
 
0.4%
197865.684207345 3
 
0.4%
192276.385535768 3
 
0.4%
192002.846191644 3
 
0.4%
184491.727482399 3
 
0.4%
Other values (543) 658
91.8%
(Missing) 29
 
4.0%
ValueCountFrequency (%)
174289.976688419 1
0.1%
174307.148168245 1
0.1%
174638.869997904 1
0.1%
174774.894177567 2
0.3%
174811.513941031 1
0.1%
174835.290190736 1
0.1%
174871.825606384 1
0.1%
175314.286676535 2
0.3%
175515.467301635 1
0.1%
175649.486849662 1
0.1%
ValueCountFrequency (%)
206150.925111083 1
0.1%
206113.876185521 1
0.1%
205902.169686546 1
0.1%
205698.982734607 1
0.1%
205690.94819215 1
0.1%
205620.650144116 1
0.1%
205540.482346069 2
0.3%
205423.702303922 1
0.1%
205344.463400676 1
0.1%
205187.183814795 2
0.3%

위생업태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
기타식품판매업
713 
식품조사처리업
 
3
<NA>
 
1

Length

Max length7
Median length7
Mean length6.9958159
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
기타식품판매업 713
99.4%
식품조사처리업 3
 
0.4%
<NA> 1
 
0.1%

Length

2024-04-21T16:28:16.847987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:28:17.182661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타식품판매업 713
99.4%
식품조사처리업 3
 
0.4%
na 1
 
0.1%

남성종사자수
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
<NA>
582 
0
134 
1
 
1

Length

Max length4
Median length4
Mean length3.4351464
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row<NA>
2nd row0
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 582
81.2%
0 134
 
18.7%
1 1
 
0.1%

Length

2024-04-21T16:28:17.557270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:28:17.895008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 582
81.2%
0 134
 
18.7%
1 1
 
0.1%
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
<NA>
583 
0
134 

Length

Max length4
Median length4
Mean length3.4393305
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row0
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 583
81.3%
0 134
 
18.7%

Length

2024-04-21T16:28:18.273448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:28:18.598809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 583
81.3%
0 134
 
18.7%

영업장주변구분명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
<NA>
518 
기타
188 
주택가주변
 
7
아파트지역
 
3
학교정화(절대)
 
1

Length

Max length8
Median length4
Mean length3.4951185
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 518
72.2%
기타 188
 
26.2%
주택가주변 7
 
1.0%
아파트지역 3
 
0.4%
학교정화(절대) 1
 
0.1%

Length

2024-04-21T16:28:18.977178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:28:19.333145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 518
72.2%
기타 188
 
26.2%
주택가주변 7
 
1.0%
아파트지역 3
 
0.4%
학교정화(절대 1
 
0.1%

등급구분명
Categorical

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
<NA>
518 
기타
189 
자율
 
10

Length

Max length4
Median length4
Mean length3.4449093
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 518
72.2%
기타 189
 
26.4%
자율 10
 
1.4%

Length

2024-04-21T16:28:19.757878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:28:20.116323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 518
72.2%
기타 189
 
26.4%
자율 10
 
1.4%
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
<NA>
614 
상수도전용
103 

Length

Max length5
Median length4
Mean length4.1436541
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 614
85.6%
상수도전용 103
 
14.4%

Length

2024-04-21T16:28:20.492828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:28:20.817121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 614
85.6%
상수도전용 103
 
14.4%

총직원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
<NA>
658 
0
 
59

Length

Max length4
Median length4
Mean length3.7531381
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 658
91.8%
0 59
 
8.2%

Length

2024-04-21T16:28:21.192200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:28:21.396484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 658
91.8%
0 59
 
8.2%

본사직원수
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
0
446 
<NA>
271 

Length

Max length4
Median length1
Mean length2.1338912
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 446
62.2%
<NA> 271
37.8%

Length

2024-04-21T16:28:21.588631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:28:21.854182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 446
62.2%
na 271
37.8%

공장사무직직원수
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
0
443 
<NA>
271 
1
 
2
2
 
1

Length

Max length4
Median length1
Mean length2.1338912
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 443
61.8%
<NA> 271
37.8%
1 2
 
0.3%
2 1
 
0.1%

Length

2024-04-21T16:28:22.225677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:28:22.564393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 443
61.8%
na 271
37.8%
1 2
 
0.3%
2 1
 
0.1%

공장판매직직원수
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
0
441 
<NA>
271 
6
 
2
75
 
1
5
 
1

Length

Max length4
Median length1
Mean length2.1366806
Min length1

Unique

Unique3 ?
Unique (%)0.4%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row75

Common Values

ValueCountFrequency (%)
0 441
61.5%
<NA> 271
37.8%
6 2
 
0.3%
75 1
 
0.1%
5 1
 
0.1%
15 1
 
0.1%

Length

2024-04-21T16:28:22.955544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:28:23.316226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 441
61.5%
na 271
37.8%
6 2
 
0.3%
75 1
 
0.1%
5 1
 
0.1%
15 1
 
0.1%
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
0
446 
<NA>
271 

Length

Max length4
Median length1
Mean length2.1338912
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 446
62.2%
<NA> 271
37.8%

Length

2024-04-21T16:28:23.713445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:28:24.052324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 446
62.2%
na 271
37.8%
Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
<NA>
532 
자가
129 
임대
56 

Length

Max length4
Median length4
Mean length3.4839609
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 532
74.2%
자가 129
 
18.0%
임대 56
 
7.8%

Length

2024-04-21T16:28:24.441477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:28:24.794367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 532
74.2%
자가 129
 
18.0%
임대 56
 
7.8%

보증액
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
<NA>
635 
0
82 

Length

Max length4
Median length4
Mean length3.6569038
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 635
88.6%
0 82
 
11.4%

Length

2024-04-21T16:28:25.183099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:28:25.520200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 635
88.6%
0 82
 
11.4%

월세액
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
<NA>
635 
0
82 

Length

Max length4
Median length4
Mean length3.6569038
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 635
88.6%
0 82
 
11.4%

Length

2024-04-21T16:28:25.893911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:28:26.235487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 635
88.6%
0 82
 
11.4%

다중이용업소여부
Boolean

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size845.0 B
False
717 
ValueCountFrequency (%)
False 717
100.0%
2024-04-21T16:28:26.513218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

ZEROS 

Distinct138
Distinct (%)19.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean86.104728
Minimum0
Maximum9790.33
Zeros574
Zeros (%)80.1%
Negative0
Negative (%)0.0%
Memory size6.4 KiB
2024-04-21T16:28:26.868778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile565.468
Maximum9790.33
Range9790.33
Interquartile range (IQR)0

Descriptive statistics

Standard deviation464.19285
Coefficient of variation (CV)5.3910262
Kurtosis275.61298
Mean86.104728
Median Absolute Deviation (MAD)0
Skewness14.415543
Sum61737.09
Variance215475
MonotonicityNot monotonic
2024-04-21T16:28:27.543983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 574
80.1%
6.46 3
 
0.4%
15.0 2
 
0.3%
16.8 2
 
0.3%
682.72 2
 
0.3%
495.0 2
 
0.3%
311.72 1
 
0.1%
8.1 1
 
0.1%
7.8 1
 
0.1%
6.0 1
 
0.1%
Other values (128) 128
 
17.9%
ValueCountFrequency (%)
0.0 574
80.1%
2.81 1
 
0.1%
3.3 1
 
0.1%
3.36 1
 
0.1%
4.0 1
 
0.1%
4.35 1
 
0.1%
4.4 1
 
0.1%
4.94 1
 
0.1%
5.2 1
 
0.1%
5.4 1
 
0.1%
ValueCountFrequency (%)
9790.33 1
0.1%
3799.2 1
0.1%
2552.0 1
0.1%
2405.07 1
0.1%
2396.76 1
0.1%
2015.23 1
0.1%
1720.62 1
0.1%
1425.2 1
0.1%
1096.0 1
0.1%
996.8 1
0.1%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing717
Missing (%)100.0%
Memory size6.4 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing717
Missing (%)100.0%
Memory size6.4 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing717
Missing (%)100.0%
Memory size6.4 KiB

Unnamed: 47
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing717
Missing (%)100.0%
Memory size6.4 KiB

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총직원수본사직원수공장사무직직원수공장판매직직원수공장생산직직원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지Unnamed: 47
01식품판매업(기타)07_22_13_P32500003250000-114-2000-0000220010809<NA>1영업/정상1영업<NA><NA><NA><NA>051 2488106565.36600046부산광역시 중구 남포동6가 3 신천지백화점 1층부산광역시 중구 자갈치로 33, 1층 (남포동6가, 신천지백화점)48982자갈치 탑마트20130402154802I2018-08-31 23:59:59.0기타식품판매업384836.914456179432.73458기타식품판매업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N565.36<NA><NA><NA><NA>
12식품판매업(기타)07_22_13_P32500003250000-114-1996-0041419960906<NA>1영업/정상1영업<NA><NA><NA><NA>051 25077002,405.07600046부산광역시 중구 남포동6가 1-0부산광역시 중구 구덕로 73 (남포동6가)48982(주)농협유통 하나로마트 자갈치점20220411142801U2022-04-13 02:40:00.0기타식품판매업384820.119269179460.841059기타식품판매업00기타기타<NA><NA>0000<NA><NA><NA>N2405.07<NA><NA><NA><NA>
23식품판매업(기타)07_22_13_P32500003250000-114-1996-0041619961114<NA>1영업/정상1영업<NA><NA><NA><NA>051 2454900473.37600806부산광역시 중구 부평동2가 16부산광역시 중구 부평1길 48 (부평동2가)48977(주)프로유통(빅세일마트)20160615114558I2018-08-31 23:59:59.0기타식품판매업384663.000969179927.870276기타식품판매업<NA><NA>기타기타<NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA><NA>
34식품판매업(기타)07_22_13_P32500003250000-114-2011-0000120110110<NA>1영업/정상1영업<NA><NA><NA><NA>051 2421577530.19600061부산광역시 중구 신창동1가 1-3 외 1필지부산광역시 중구 광복중앙로 33 (신창동1가, 외 1필지)48948가람리테일20120209093220I2018-08-31 23:59:59.0기타식품판매업385074.807762180030.905431기타식품판매업<NA><NA><NA><NA><NA><NA>0000자가<NA><NA>N0.0<NA><NA><NA><NA>
45식품판매업(기타)07_22_13_P32500003250000-114-2014-0000120140825<NA>1영업/정상1영업<NA><NA><NA><NA><NA>963.00600017부산광역시 중구 중앙동7가 20-1 롯데몰 마트시네마동 롯데마트광복점 지하2층부산광역시 중구 중앙대로 2, 지하1층 (중앙동7가, 롯데몰 마트시네마동 롯데마트광복점)48944롯데쇼핑(주)롯데마트광복점20220419155204U2022-04-21 02:40:00.0기타식품판매업385590.814677179553.867032기타식품판매업<NA><NA><NA><NA>상수도전용<NA>00750자가<NA><NA>N0.0<NA><NA><NA><NA>
56식품판매업(기타)07_22_13_P32500003250000-114-2016-0000120160727<NA>1영업/정상1영업<NA><NA><NA><NA>051 254 0035576.13600044부산광역시 중구 남포동4가 44-3부산광역시 중구 자갈치해안로 60, 1~3층 (남포동4가)48984제1,2구 잠수기수협 바다마트20211213150316U2021-12-15 02:40:00.0기타식품판매업385191.013393179401.283402기타식품판매업00<NA><NA><NA>00000자가00N576.13<NA><NA><NA><NA>
67식품판매업(기타)07_22_13_P32500003250000-114-2016-0000220161118<NA>1영업/정상1영업<NA><NA><NA><NA>051 469 5770595.77600815부산광역시 중구 중앙동4가 37-16부산광역시 중구 중앙대로81번길 9, 1층 (중앙동4가)48930(주)두배로마트20170811133214I2018-08-31 23:59:59.0기타식품판매업385473.57641180297.978229기타식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자가<NA><NA>N595.77<NA><NA><NA><NA>
78식품판매업(기타)07_22_13_P32500003250000-114-2009-0000220091218<NA>1영업/정상1영업<NA><NA><NA><NA>051 67830041,147.00600017부산광역시 중구 중앙동7가 20-1 외110필지 (롯데백화점 지하1층)부산광역시 중구 중앙대로 2, 지하1층 (중앙동7가, 외110필지 롯데백화점)48944롯데쇼핑주식회사20220414153850U2022-04-16 02:40:00.0기타식품판매업385590.814677179553.867032기타식품판매업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA><NA>
89식품판매업(기타)07_22_13_P32500003250000-114-2021-0000120210114<NA>1영업/정상1영업<NA><NA><NA><NA>051 241 4980680.00600074부산광역시 중구 부평동4가 52-3부산광역시 중구 보수대로 82, 1층 (부평동4가)48973에스씨(SC)마트20210114145443I2021-01-16 00:23:15.0기타식품판매업384249.201711180080.172972기타식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자가<NA><NA>N10.0<NA><NA><NA><NA>
910식품판매업(기타)07_22_13_P32600003260000-114-2019-0000120190327<NA>1영업/정상1영업<NA><NA><NA><NA>051 25590051,131.95602838부산광역시 서구 토성동1가 25-1 경동 리인부산광역시 서구 보수대로 27, 1층 (토성동1가, 경동 리인)49247경동빅마트20220629171558U2022-07-01 02:40:00.0기타식품판매업384479.162542179674.832922기타식품판매업00<NA><NA><NA>00000자가00N0.0<NA><NA><NA><NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총직원수본사직원수공장사무직직원수공장판매직직원수공장생산직직원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지Unnamed: 47
707708식품판매업(기타)07_22_13_P34000003400000-114-1996-0017419960819<NA>3폐업2폐업20030113<NA><NA><NA>051 7226771<NA>619905부산광역시 기장군 기장읍 동부리 124<NA><NA>성암빅마트기장점20020608000000I2018-08-31 23:59:59.0기타식품판매업401451.766564196278.102759기타식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA><NA>
708709식품판매업(기타)07_22_13_P34000003400000-114-1998-0017619980117<NA>3폐업2폐업19990203<NA><NA><NA>051 7224176.00619903부산광역시 기장군 기장읍 대라리 162-13<NA><NA>무지개식품20020225000000I2018-08-31 23:59:59.0기타식품판매업401222.307932195403.978931기타식품판매업1<NA>아파트지역기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA><NA>
709710식품판매업(기타)07_22_13_P34000003400000-114-2002-0000120020928<NA>3폐업2폐업20160205<NA><NA><NA>0<NA>619901부산광역시 기장군 기장읍 교리 356-2부산광역시 기장군 기장읍 차성로 43446055우와마트20160205091400I2018-08-31 23:59:59.0기타식품판매업401756.2462197244.945141기타식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA><NA>
710711식품판매업(기타)07_22_13_P34000003400000-114-2003-0000120030801<NA>3폐업2폐업20180315<NA><NA><NA>051 724 45001,821.83619903부산광역시 기장군 기장읍 대라리 57부산광역시 기장군 기장읍 차성동로 6346066홈플러스 익스프레스 기장점20180315161123I2018-08-31 23:59:59.0기타식품판매업401671.55937196027.51628기타식품판매업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA><NA>
711712식품판매업(기타)07_22_13_P34000003400000-114-2007-0000120070207<NA>3폐업2폐업20100111<NA><NA><NA>051 7274983316.25619951부산광역시 기장군 장안읍 월내리 11-1<NA><NA>세호마트20070207000000I2018-08-31 23:59:59.0기타식품판매업407245.567193205540.482346기타식품판매업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA><NA>
712713식품판매업(기타)07_22_13_P34000003400000-114-2007-0000220070807<NA>3폐업2폐업20200629<NA><NA><NA>051 722 44751,336.00619905부산광역시 기장군 기장읍 동부리 124부산광역시 기장군 기장읍 차성로 31446061엄마야마트가자20200629160333U2020-07-01 02:40:00.0기타식품판매업401451.766564196278.102759기타식품판매업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA><NA>
713714식품판매업(기타)07_22_13_P34000003400000-114-1998-0017719981020<NA>3폐업2폐업20060922<NA><NA><NA>051 7227585<NA>619903부산광역시 기장군 기장읍 대라리 68-9<NA><NA>빅세일기장점20020608000000I2018-08-31 23:59:59.0기타식품판매업401617.635228196097.170744기타식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA><NA>
714715식품판매업(기타)07_22_13_P34000003400000-114-1999-0023319990518<NA>3폐업2폐업20060306<NA><NA><NA>051 7242949<NA>619912부산광역시 기장군 일광면 삼성리 36-4<NA><NA>(주)홈마트20020608000000I2018-08-31 23:59:59.0기타식품판매업403206.588717198493.463979기타식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA><NA>
715716식품판매업(기타)07_22_13_P34000003400000-114-2008-0000120080110<NA>3폐업2폐업20130401<NA><NA><NA>0517279910348.25619952부산광역시 기장군 장안읍 길천리 207-3부산광역시 기장군 장안읍 해맞이로 424<NA>동양마트20080115100332I2018-08-31 23:59:59.0기타식품판매업407434.691805205690.948192기타식품판매업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA><NA>
716717식품판매업(기타)07_22_13_P34000003400000-114-2011-0000220110808<NA>3폐업2폐업20180905<NA><NA><NA>051 529 5700546.94619902부산광역시 기장군 기장읍 내리 775-5부산광역시 기장군 기장읍 기장대로 85, 1층46076농축산마트20180905201521U2018-09-05 23:59:59.0기타식품판매업400809.773502191737.640257기타식품판매업<NA><NA><NA><NA><NA><NA>0000자가<NA><NA>N0.0<NA><NA><NA><NA>