Overview

Dataset statistics

Number of variables48
Number of observations716
Missing cells6777
Missing cells (%)19.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory288.9 KiB
Average record size in memory413.2 B

Variable types

Numeric10
Categorical22
Text6
Unsupported8
DateTime1
Boolean1

Dataset

Description2022-09-01
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 (56.5%)Imbalance
영업장주변구분명 is highly imbalanced (58.8%)Imbalance
총직원수 is highly imbalanced (62.4%)Imbalance
공장사무직직원수 is highly imbalanced (50.0%)Imbalance
공장판매직직원수 is highly imbalanced (60.2%)Imbalance
보증액 is highly imbalanced (51.2%)Imbalance
월세액 is highly imbalanced (51.2%)Imbalance
인허가취소일자 has 716 (100.0%) missing valuesMissing
폐업일자 has 359 (50.1%) missing valuesMissing
휴업시작일자 has 716 (100.0%) missing valuesMissing
휴업종료일자 has 716 (100.0%) missing valuesMissing
재개업일자 has 716 (100.0%) missing valuesMissing
소재지전화 has 83 (11.6%) missing valuesMissing
소재지면적 has 110 (15.4%) missing valuesMissing
소재지우편번호 has 15 (2.1%) missing valuesMissing
도로명전체주소 has 205 (28.6%) missing valuesMissing
도로명우편번호 has 219 (30.6%) missing valuesMissing
좌표정보(x) has 29 (4.1%) missing valuesMissing
좌표정보(y) has 29 (4.1%) missing valuesMissing
전통업소지정번호 has 716 (100.0%) missing valuesMissing
전통업소주된음식 has 716 (100.0%) missing valuesMissing
홈페이지 has 716 (100.0%) missing valuesMissing
Unnamed: 47 has 716 (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 (80.2%) zerosZeros

Reproduction

Analysis started2024-04-21 07:37:35.327121
Analysis finished2024-04-21 07:37:36.816054
Duration1.49 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct716
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean358.5
Minimum1
Maximum716
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.4 KiB
2024-04-21T16:37:37.001030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile36.75
Q1179.75
median358.5
Q3537.25
95-th percentile680.25
Maximum716
Range715
Interquartile range (IQR)357.5

Descriptive statistics

Standard deviation206.83568
Coefficient of variation (CV)0.57694751
Kurtosis-1.2
Mean358.5
Median Absolute Deviation (MAD)179
Skewness0
Sum256686
Variance42781
MonotonicityStrictly increasing
2024-04-21T16:37:37.444599image/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 (706) 706
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 (%)
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%
707 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
식품판매업(기타)
716 

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) 716
100.0%

Length

2024-04-21T16:37:37.877489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:37:38.188814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품판매업(기타 716
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
07_22_13_P
716 

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 716
100.0%

Length

2024-04-21T16:37:38.520677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:37:38.832432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
07_22_13_p 716
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3333659.2
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.4 KiB
2024-04-21T16:37:39.123898image/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 deviation38583.537
Coefficient of variation (CV)0.011573929
Kurtosis-0.7374583
Mean3333659.2
Median Absolute Deviation (MAD)30000
Skewness0.0072315833
Sum2.3869 × 109
Variance1.4886893 × 109
MonotonicityNot monotonic
2024-04-21T16:37:39.506953image/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 42
 
5.9%
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
 
4.1%
3290000 64
8.9%
3300000 45
6.3%
3310000 42
5.9%
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 42
5.9%

관리번호
Text

UNIQUE 

Distinct716
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
2024-04-21T16:37:40.256208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters15752
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

Unique716 ?
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%
3320000-114-2001-00639 1
 
0.1%
3320000-114-1994-00129 1
 
0.1%
3320000-114-1996-00359 1
 
0.1%
3320000-114-1994-00131 1
 
0.1%
3320000-114-1995-00353 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%
Other values (706) 706
98.6%
2024-04-21T16:37:41.376733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6168
39.2%
1 2325
 
14.8%
- 2148
 
13.6%
3 1560
 
9.9%
2 1050
 
6.7%
4 1002
 
6.4%
9 609
 
3.9%
6 290
 
1.8%
5 230
 
1.5%
7 190
 
1.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 13604
86.4%
Dash Punctuation 2148
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6168
45.3%
1 2325
 
17.1%
3 1560
 
11.5%
2 1050
 
7.7%
4 1002
 
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 (%)
- 2148
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 15752
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6168
39.2%
1 2325
 
14.8%
- 2148
 
13.6%
3 1560
 
9.9%
2 1050
 
6.7%
4 1002
 
6.4%
9 609
 
3.9%
6 290
 
1.8%
5 230
 
1.5%
7 190
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15752
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6168
39.2%
1 2325
 
14.8%
- 2148
 
13.6%
3 1560
 
9.9%
2 1050
 
6.7%
4 1002
 
6.4%
9 609
 
3.9%
6 290
 
1.8%
5 230
 
1.5%
7 190
 
1.2%

인허가일자
Real number (ℝ)

Distinct639
Distinct (%)89.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20071144
Minimum19850909
Maximum20220622
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.4 KiB
2024-04-21T16:37:41.793163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19850909
5-th percentile19960618
Q119990518
median20071164
Q320141204
95-th percentile20200944
Maximum20220622
Range369713
Interquartile range (IQR)150686.5

Descriptive statistics

Standard deviation84703.246
Coefficient of variation (CV)0.0042201503
Kurtosis-1.2643087
Mean20071144
Median Absolute Deviation (MAD)79347.5
Skewness0.027695353
Sum1.4370939 × 1010
Variance7.1746399 × 109
MonotonicityNot monotonic
2024-04-21T16:37:42.243800image/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%
19960722 3
 
0.4%
20000124 3
 
0.4%
19960617 3
 
0.4%
19960625 3
 
0.4%
19960923 3
 
0.4%
19990622 3
 
0.4%
20000323 2
 
0.3%
Other values (629) 682
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 (%)
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%
20210802 1
0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing716
Missing (%)100.0%
Memory size6.4 KiB
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
1
359 
3
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 (%)
1 359
50.1%
3 357
49.9%

Length

2024-04-21T16:37:42.669937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:37:43.171501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 359
50.1%
3 357
49.9%

영업상태명
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
영업/정상
359 
폐업
357 

Length

Max length5
Median length5
Mean length3.5041899
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 (%)
영업/정상 359
50.1%
폐업 357
49.9%

Length

2024-04-21T16:37:43.529249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:37:43.859912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 359
50.1%
폐업 357
49.9%
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
1
359 
2
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 (%)
1 359
50.1%
2 357
49.9%

Length

2024-04-21T16:37:44.206048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:37:44.521402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 359
50.1%
2 357
49.9%
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
영업
359 
폐업
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 (%)
영업 359
50.1%
폐업 357
49.9%

Length

2024-04-21T16:37:44.861443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:37:45.177130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 359
50.1%
폐업 357
49.9%

폐업일자
Real number (ℝ)

MISSING 

Distinct303
Distinct (%)84.9%
Missing359
Missing (%)50.1%
Infinite0
Infinite (%)0.0%
Mean20105205
Minimum19941010
Maximum20220729
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.4 KiB
2024-04-21T16:37:45.527943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19941010
5-th percentile19998306
Q120051123
median20100607
Q320180213
95-th percentile20210505
Maximum20220729
Range279719
Interquartile range (IQR)129090

Descriptive statistics

Standard deviation73604.746
Coefficient of variation (CV)0.0036609797
Kurtosis-1.2676175
Mean20105205
Median Absolute Deviation (MAD)60403
Skewness-0.024300372
Sum7.177558 × 109
Variance5.4176586 × 109
MonotonicityNot monotonic
2024-04-21T16:37:45.871801image/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%
20140102 2
 
0.3%
20100310 2
 
0.3%
20100701 2
 
0.3%
20100111 2
 
0.3%
20000609 2
 
0.3%
20120221 2
 
0.3%
20140120 2
 
0.3%
Other values (293) 297
41.5%
(Missing) 359
50.1%
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 (%)
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%
20220204 1
0.1%
20220111 1
0.1%
20211223 1
0.1%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing716
Missing (%)100.0%
Memory size6.4 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing716
Missing (%)100.0%
Memory size6.4 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing716
Missing (%)100.0%
Memory size6.4 KiB

소재지전화
Text

MISSING 

Distinct565
Distinct (%)89.3%
Missing83
Missing (%)11.6%
Memory size5.7 KiB
2024-04-21T16:37:46.867000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.680885
Min length1

Characters and Unicode

Total characters6761
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

Unique547 ?
Unique (%)86.4%

Sample

1st row051 2488106
2nd row051 2507700
3rd row051 2454900
4th row051 2421577
5th row051 254 0035
ValueCountFrequency (%)
051 574
39.4%
727 8
 
0.5%
724 6
 
0.4%
728 5
 
0.3%
343 5
 
0.3%
271 4
 
0.3%
703 4
 
0.3%
897 4
 
0.3%
202 4
 
0.3%
759 4
 
0.3%
Other values (712) 839
57.6%
2024-04-21T16:37:48.116558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1223
18.1%
5 1061
15.7%
1 1011
15.0%
837
12.4%
2 519
7.7%
3 421
 
6.2%
8 372
 
5.5%
7 367
 
5.4%
4 343
 
5.1%
6 334
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5924
87.6%
Space Separator 837
 
12.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1223
20.6%
5 1061
17.9%
1 1011
17.1%
2 519
8.8%
3 421
 
7.1%
8 372
 
6.3%
7 367
 
6.2%
4 343
 
5.8%
6 334
 
5.6%
9 273
 
4.6%
Space Separator
ValueCountFrequency (%)
837
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6761
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1223
18.1%
5 1061
15.7%
1 1011
15.0%
837
12.4%
2 519
7.7%
3 421
 
6.2%
8 372
 
5.5%
7 367
 
5.4%
4 343
 
5.1%
6 334
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6761
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1223
18.1%
5 1061
15.7%
1 1011
15.0%
837
12.4%
2 519
7.7%
3 421
 
6.2%
8 372
 
5.5%
7 367
 
5.4%
4 343
 
5.1%
6 334
 
4.9%

소재지면적
Text

MISSING 

Distinct558
Distinct (%)92.1%
Missing110
Missing (%)15.4%
Memory size5.7 KiB
2024-04-21T16:37:49.244442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length6
Mean length6.2277228
Min length3

Characters and Unicode

Total characters3774
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

Unique527 ?
Unique (%)87.0%

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%
476.84 2
 
0.3%
536.14 2
 
0.3%
579.00 2
 
0.3%
755.00 2
 
0.3%
495.57 2
 
0.3%
407.87 2
 
0.3%
380.00 2
 
0.3%
400.00 2
 
0.3%
Other values (548) 569
93.9%
2024-04-21T16:37:50.605570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 638
16.9%
. 606
16.1%
3 317
8.4%
5 300
7.9%
4 282
7.5%
6 281
7.4%
7 265
7.0%
2 252
 
6.7%
9 250
 
6.6%
1 244
 
6.5%
Other values (2) 339
9.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3064
81.2%
Other Punctuation 710
 
18.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 638
20.8%
3 317
10.3%
5 300
9.8%
4 282
9.2%
6 281
9.2%
7 265
8.6%
2 252
 
8.2%
9 250
 
8.2%
1 244
 
8.0%
8 235
 
7.7%
Other Punctuation
ValueCountFrequency (%)
. 606
85.4%
, 104
 
14.6%

Most occurring scripts

ValueCountFrequency (%)
Common 3774
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 638
16.9%
. 606
16.1%
3 317
8.4%
5 300
7.9%
4 282
7.5%
6 281
7.4%
7 265
7.0%
2 252
 
6.7%
9 250
 
6.6%
1 244
 
6.5%
Other values (2) 339
9.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3774
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 638
16.9%
. 606
16.1%
3 317
8.4%
5 300
7.9%
4 282
7.5%
6 281
7.4%
7 265
7.0%
2 252
 
6.7%
9 250
 
6.6%
1 244
 
6.5%
Other values (2) 339
9.0%

소재지우편번호
Real number (ℝ)

MISSING 

Distinct347
Distinct (%)49.5%
Missing15
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean611998.76
Minimum600016
Maximum619953
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.4 KiB
2024-04-21T16:37:50.861959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum600016
5-th percentile602808
Q1607833
median612829
Q3616816
95-th percentile618814
Maximum619953
Range19937
Interquartile range (IQR)8983

Descriptive statistics

Standard deviation5213.5409
Coefficient of variation (CV)0.008518875
Kurtosis-0.88101513
Mean611998.76
Median Absolute Deviation (MAD)4002
Skewness-0.3826393
Sum4.2901113 × 108
Variance27181009
MonotonicityNot monotonic
2024-04-21T16:37:51.127678image/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) 631
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 (%)90.2%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
2024-04-21T16:37:52.146403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length44
Mean length22.104749
Min length14

Characters and Unicode

Total characters15827
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

Unique582 ?
Unique (%)81.3%

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 716
 
21.7%
북구 97
 
2.9%
사하구 74
 
2.2%
해운대구 66
 
2.0%
부산진구 64
 
1.9%
사상구 55
 
1.7%
금정구 55
 
1.7%
기장군 47
 
1.4%
동래구 45
 
1.4%
남구 42
 
1.3%
Other values (943) 2033
61.7%
2024-04-21T16:37:53.444535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2579
 
16.3%
839
 
5.3%
828
 
5.2%
1 804
 
5.1%
787
 
5.0%
740
 
4.7%
733
 
4.6%
717
 
4.5%
714
 
4.5%
- 577
 
3.6%
Other values (247) 6509
41.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9163
57.9%
Decimal Number 3374
 
21.3%
Space Separator 2579
 
16.3%
Dash Punctuation 577
 
3.6%
Other Punctuation 42
 
0.3%
Uppercase Letter 41
 
0.3%
Close Punctuation 23
 
0.1%
Open Punctuation 23
 
0.1%
Math Symbol 4
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
839
 
9.2%
828
 
9.0%
787
 
8.6%
740
 
8.1%
733
 
8.0%
717
 
7.8%
714
 
7.8%
145
 
1.6%
131
 
1.4%
130
 
1.4%
Other values (220) 3399
37.1%
Decimal Number
ValueCountFrequency (%)
1 804
23.8%
2 412
12.2%
3 375
11.1%
5 307
 
9.1%
0 287
 
8.5%
4 286
 
8.5%
8 242
 
7.2%
7 230
 
6.8%
6 230
 
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%
H 2
 
4.9%
L 2
 
4.9%
S 2
 
4.9%
K 2
 
4.9%
C 1
 
2.4%
Other Punctuation
ValueCountFrequency (%)
, 38
90.5%
@ 4
 
9.5%
Space Separator
ValueCountFrequency (%)
2579
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 577
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9163
57.9%
Common 6622
41.8%
Latin 42
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
839
 
9.2%
828
 
9.0%
787
 
8.6%
740
 
8.1%
733
 
8.0%
717
 
7.8%
714
 
7.8%
145
 
1.6%
131
 
1.4%
130
 
1.4%
Other values (220) 3399
37.1%
Common
ValueCountFrequency (%)
2579
38.9%
1 804
 
12.1%
- 577
 
8.7%
2 412
 
6.2%
3 375
 
5.7%
5 307
 
4.6%
0 287
 
4.3%
4 286
 
4.3%
8 242
 
3.7%
7 230
 
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%
H 2
 
4.8%
L 2
 
4.8%
S 2
 
4.8%
K 2
 
4.8%
e 1
 
2.4%
C 1
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9163
57.9%
ASCII 6664
42.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2579
38.7%
1 804
 
12.1%
- 577
 
8.7%
2 412
 
6.2%
3 375
 
5.6%
5 307
 
4.6%
0 287
 
4.3%
4 286
 
4.3%
8 242
 
3.6%
7 230
 
3.5%
Other values (17) 565
 
8.5%
Hangul
ValueCountFrequency (%)
839
 
9.2%
828
 
9.0%
787
 
8.6%
740
 
8.1%
733
 
8.0%
717
 
7.8%
714
 
7.8%
145
 
1.6%
131
 
1.4%
130
 
1.4%
Other values (220) 3399
37.1%

도로명전체주소
Text

MISSING 

Distinct496
Distinct (%)97.1%
Missing205
Missing (%)28.6%
Memory size5.7 KiB
2024-04-21T16:37:54.767569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length52
Mean length30.344423
Min length20

Characters and Unicode

Total characters15506
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

Unique481 ?
Unique (%)94.1%

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 511
 
16.8%
1층 105
 
3.5%
사하구 55
 
1.8%
해운대구 55
 
1.8%
부산진구 48
 
1.6%
금정구 42
 
1.4%
사상구 41
 
1.3%
기장군 37
 
1.2%
지하1층 35
 
1.2%
강서구 35
 
1.2%
Other values (918) 2075
68.3%
2024-04-21T16:37:56.359516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2533
 
16.3%
1 734
 
4.7%
642
 
4.1%
622
 
4.0%
618
 
4.0%
549
 
3.5%
544
 
3.5%
511
 
3.3%
506
 
3.3%
505
 
3.3%
Other values (295) 7742
49.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9204
59.4%
Space Separator 2533
 
16.3%
Decimal Number 2303
 
14.9%
Close Punctuation 489
 
3.2%
Open Punctuation 489
 
3.2%
Other Punctuation 380
 
2.5%
Uppercase Letter 43
 
0.3%
Dash Punctuation 42
 
0.3%
Math Symbol 21
 
0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
642
 
7.0%
622
 
6.8%
618
 
6.7%
549
 
6.0%
544
 
5.9%
511
 
5.6%
506
 
5.5%
505
 
5.5%
234
 
2.5%
215
 
2.3%
Other values (265) 4258
46.3%
Uppercase Letter
ValueCountFrequency (%)
B 20
46.5%
A 6
 
14.0%
C 4
 
9.3%
G 3
 
7.0%
H 2
 
4.7%
K 2
 
4.7%
S 2
 
4.7%
L 1
 
2.3%
N 1
 
2.3%
T 1
 
2.3%
Decimal Number
ValueCountFrequency (%)
1 734
31.9%
2 299
13.0%
3 226
 
9.8%
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
 
4.6%
Other Punctuation
ValueCountFrequency (%)
, 378
99.5%
@ 2
 
0.5%
Lowercase Letter
ValueCountFrequency (%)
e 1
50.0%
b 1
50.0%
Space Separator
ValueCountFrequency (%)
2533
100.0%
Close Punctuation
ValueCountFrequency (%)
) 489
100.0%
Open Punctuation
ValueCountFrequency (%)
( 489
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 42
100.0%
Math Symbol
ValueCountFrequency (%)
~ 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9204
59.4%
Common 6257
40.4%
Latin 45
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
642
 
7.0%
622
 
6.8%
618
 
6.7%
549
 
6.0%
544
 
5.9%
511
 
5.6%
506
 
5.5%
505
 
5.5%
234
 
2.5%
215
 
2.3%
Other values (265) 4258
46.3%
Common
ValueCountFrequency (%)
2533
40.5%
1 734
 
11.7%
) 489
 
7.8%
( 489
 
7.8%
, 378
 
6.0%
2 299
 
4.8%
3 226
 
3.6%
4 207
 
3.3%
0 203
 
3.2%
5 161
 
2.6%
Other values (7) 538
 
8.6%
Latin
ValueCountFrequency (%)
B 20
44.4%
A 6
 
13.3%
C 4
 
8.9%
G 3
 
6.7%
H 2
 
4.4%
K 2
 
4.4%
S 2
 
4.4%
e 1
 
2.2%
b 1
 
2.2%
L 1
 
2.2%
Other values (3) 3
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9204
59.4%
ASCII 6302
40.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2533
40.2%
1 734
 
11.6%
) 489
 
7.8%
( 489
 
7.8%
, 378
 
6.0%
2 299
 
4.7%
3 226
 
3.6%
4 207
 
3.3%
0 203
 
3.2%
5 161
 
2.6%
Other values (20) 583
 
9.3%
Hangul
ValueCountFrequency (%)
642
 
7.0%
622
 
6.8%
618
 
6.7%
549
 
6.0%
544
 
5.9%
511
 
5.6%
506
 
5.5%
505
 
5.5%
234
 
2.5%
215
 
2.3%
Other values (265) 4258
46.3%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct372
Distinct (%)74.8%
Missing219
Missing (%)30.6%
Infinite0
Infinite (%)0.0%
Mean47667.338
Minimum46004
Maximum49520
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.4 KiB
2024-04-21T16:37:56.606960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46004
5-th percentile46060.6
Q146759
median47594
Q348457
95-th percentile49385
Maximum49520
Range3516
Interquartile range (IQR)1698

Descriptive statistics

Standard deviation1062.0289
Coefficient of variation (CV)0.022280013
Kurtosis-1.1417747
Mean47667.338
Median Absolute Deviation (MAD)851
Skewness0.15086025
Sum23690667
Variance1127905.4
MonotonicityNot monotonic
2024-04-21T16:37:56.860193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
46726 6
 
0.8%
46230 5
 
0.7%
46759 5
 
0.7%
47369 4
 
0.6%
49108 4
 
0.6%
49494 4
 
0.6%
46762 4
 
0.6%
48515 4
 
0.6%
47206 3
 
0.4%
49053 3
 
0.4%
Other values (362) 455
63.5%
(Missing) 219
30.6%
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%
Distinct621
Distinct (%)86.7%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
2024-04-21T16:37:57.593757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length20
Mean length8.3324022
Min length2

Characters and Unicode

Total characters5966
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

Unique577 ?
Unique (%)80.6%

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%
더마트 9
 
1.0%
주)지에스리테일 9
 
1.0%
농축산마트 8
 
0.9%
홈플러스(주 7
 
0.8%
Other values (662) 813
87.4%
2024-04-21T16:37:58.538782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
475
 
8.0%
469
 
7.9%
) 286
 
4.8%
( 283
 
4.7%
281
 
4.7%
261
 
4.4%
214
 
3.6%
162
 
2.7%
92
 
1.5%
90
 
1.5%
Other values (313) 3353
56.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5086
85.2%
Close Punctuation 286
 
4.8%
Open Punctuation 283
 
4.7%
Space Separator 214
 
3.6%
Uppercase Letter 69
 
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%
281
 
5.5%
261
 
5.1%
162
 
3.2%
92
 
1.8%
90
 
1.8%
75
 
1.5%
74
 
1.5%
73
 
1.4%
Other values (278) 3034
59.7%
Uppercase Letter
ValueCountFrequency (%)
S 16
23.2%
G 11
15.9%
C 8
11.6%
M 5
 
7.2%
K 5
 
7.2%
J 4
 
5.8%
H 3
 
4.3%
L 3
 
4.3%
T 2
 
2.9%
A 2
 
2.9%
Other values (7) 10
14.5%
Decimal Number
ValueCountFrequency (%)
2 9
50.0%
1 3
 
16.7%
3 2
 
11.1%
5 1
 
5.6%
4 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 (%)
) 286
100.0%
Open Punctuation
ValueCountFrequency (%)
( 283
100.0%
Space Separator
ValueCountFrequency (%)
214
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5086
85.2%
Common 808
 
13.5%
Latin 72
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
475
 
9.3%
469
 
9.2%
281
 
5.5%
261
 
5.1%
162
 
3.2%
92
 
1.8%
90
 
1.8%
75
 
1.5%
74
 
1.5%
73
 
1.4%
Other values (278) 3034
59.7%
Latin
ValueCountFrequency (%)
S 16
22.2%
G 11
15.3%
C 8
11.1%
M 5
 
6.9%
K 5
 
6.9%
J 4
 
5.6%
H 3
 
4.2%
L 3
 
4.2%
T 2
 
2.8%
A 2
 
2.8%
Other values (10) 13
18.1%
Common
ValueCountFrequency (%)
) 286
35.4%
( 283
35.0%
214
26.5%
2 9
 
1.1%
1 3
 
0.4%
3 2
 
0.2%
- 2
 
0.2%
. 2
 
0.2%
5 1
 
0.1%
4 1
 
0.1%
Other values (5) 5
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5086
85.2%
ASCII 880
 
14.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
475
 
9.3%
469
 
9.2%
281
 
5.5%
261
 
5.1%
162
 
3.2%
92
 
1.8%
90
 
1.8%
75
 
1.5%
74
 
1.5%
73
 
1.4%
Other values (278) 3034
59.7%
ASCII
ValueCountFrequency (%)
) 286
32.5%
( 283
32.2%
214
24.3%
S 16
 
1.8%
G 11
 
1.2%
2 9
 
1.0%
C 8
 
0.9%
M 5
 
0.6%
K 5
 
0.6%
J 4
 
0.5%
Other values (25) 39
 
4.4%

최종수정시점
Real number (ℝ)

Distinct635
Distinct (%)88.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0145578 × 1013
Minimum1.9990607 × 1013
Maximum2.0220729 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.4 KiB
2024-04-21T16:37:58.779587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.9990607 × 1013
5-th percentile2.0010728 × 1013
Q12.009042 × 1013
median2.0180324 × 1013
Q32.0210306 × 1013
95-th percentile2.0220621 × 1013
Maximum2.0220729 × 1013
Range2.3012213 × 1011
Interquartile range (IQR)1.1988627 × 1011

Descriptive statistics

Standard deviation7.4273901 × 1010
Coefficient of variation (CV)0.0036868588
Kurtosis-0.97166785
Mean2.0145578 × 1013
Median Absolute Deviation (MAD)3.9784499 × 1010
Skewness-0.74772202
Sum1.4424234 × 1016
Variance5.5166124 × 1021
MonotonicityNot monotonic
2024-04-21T16:37:59.032524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20020305000000 19
 
2.7%
20010728000000 13
 
1.8%
20010511000000 12
 
1.7%
20010510000000 10
 
1.4%
20010731000000 7
 
1.0%
20020225000000 6
 
0.8%
20020731000000 6
 
0.8%
20040618000000 5
 
0.7%
20020802000000 3
 
0.4%
20020608000000 3
 
0.4%
Other values (625) 632
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 (%)
20220729130223 1
0.1%
20220728182200 1
0.1%
20220715131923 1
0.1%
20220707134947 1
0.1%
20220630164549 1
0.1%
20220630150149 1
0.1%
20220630150003 1
0.1%
20220629173758 1
0.1%
20220629171627 1
0.1%
20220629171558 1
0.1%
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
I
403 
U
313 

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 403
56.3%
U 313
43.7%

Length

2024-04-21T16:37:59.259885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:37:59.435212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 403
56.3%
u 313
43.7%
Distinct246
Distinct (%)34.4%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
Minimum2018-08-31 23:59:59
Maximum2022-07-31 02:40:00
2024-04-21T16:37:59.628739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T16:37:59.881431image/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
712 
식품조사처리업
 
3
<NA>
 
1

Length

Max length7
Median length7
Mean length6.9958101
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
기타식품판매업 712
99.4%
식품조사처리업 3
 
0.4%
<NA> 1
 
0.1%

Length

2024-04-21T16:38:00.332575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:38:00.521349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타식품판매업 712
99.4%
식품조사처리업 3
 
0.4%
na 1
 
0.1%

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct553
Distinct (%)80.5%
Missing29
Missing (%)4.1%
Infinite0
Infinite (%)0.0%
Mean387539.57
Minimum366779.27
Maximum409357.26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.4 KiB
2024-04-21T16:38:00.725127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum366779.27
5-th percentile378623.01
Q1382677.43
median387866.61
Q3391646.87
95-th percentile399077.29
Maximum409357.26
Range42577.984
Interquartile range (IQR)8969.4392

Descriptive statistics

Standard deviation6850.6824
Coefficient of variation (CV)0.017677375
Kurtosis0.39560585
Mean387539.57
Median Absolute Deviation (MAD)4512.0549
Skewness0.13189516
Sum2.6623968 × 108
Variance46931849
MonotonicityNot monotonic
2024-04-21T16:38:00.972547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
390057.531834683 3
 
0.4%
392819.056323176 3
 
0.4%
380214.174893599 3
 
0.4%
387274.123524645 3
 
0.4%
390038.68419681 3
 
0.4%
390241.469793416 3
 
0.4%
389016.879191556 3
 
0.4%
387887.847333871 3
 
0.4%
385770.215097102 3
 
0.4%
385248.617963518 3
 
0.4%
Other values (543) 657
91.8%
(Missing) 29
 
4.1%
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 (%)80.5%
Missing29
Missing (%)4.1%
Infinite0
Infinite (%)0.0%
Mean187574.74
Minimum174289.98
Maximum206150.93
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.4 KiB
2024-04-21T16:38:01.207801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum174289.98
5-th percentile177656.65
Q1182959.78
median187669.4
Q3191808.11
95-th percentile197865.68
Maximum206150.93
Range31860.948
Interquartile range (IQR)8848.3287

Descriptive statistics

Standard deviation6541.2716
Coefficient of variation (CV)0.034872881
Kurtosis-0.0027116118
Mean187574.74
Median Absolute Deviation (MAD)4223.2242
Skewness0.30939641
Sum1.2886385 × 108
Variance42788234
MonotonicityNot monotonic
2024-04-21T16:38:01.448431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
196950.450593302 3
 
0.4%
187998.552610803 3
 
0.4%
182729.264942974 3
 
0.4%
184575.633639399 3
 
0.4%
191142.980733675 3
 
0.4%
197865.684207345 3
 
0.4%
176951.726317049 3
 
0.4%
187966.542955171 3
 
0.4%
192276.385535768 3
 
0.4%
192002.846191644 3
 
0.4%
Other values (543) 657
91.8%
(Missing) 29
 
4.1%
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
712 
식품조사처리업
 
3
<NA>
 
1

Length

Max length7
Median length7
Mean length6.9958101
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
기타식품판매업 712
99.4%
식품조사처리업 3
 
0.4%
<NA> 1
 
0.1%

Length

2024-04-21T16:38:01.693381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:38:01.882926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타식품판매업 712
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>
588 
0
127 
1
 
1

Length

Max length4
Median length4
Mean length3.4636872
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> 588
82.1%
0 127
 
17.7%
1 1
 
0.1%

Length

2024-04-21T16:38:02.079349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:38:02.266566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 588
82.1%
0 127
 
17.7%
1 1
 
0.1%
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
<NA>
589 
0
127 

Length

Max length4
Median length4
Mean length3.4678771
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> 589
82.3%
0 127
 
17.7%

Length

2024-04-21T16:38:02.464677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:38:02.646834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 589
82.3%
0 127
 
17.7%

영업장주변구분명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
<NA>
517 
기타
188 
주택가주변
 
7
아파트지역
 
3
학교정화(절대)
 
1

Length

Max length8
Median length4
Mean length3.4944134
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> 517
72.2%
기타 188
 
26.3%
주택가주변 7
 
1.0%
아파트지역 3
 
0.4%
학교정화(절대) 1
 
0.1%

Length

2024-04-21T16:38:02.838673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:38:03.032020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 517
72.2%
기타 188
 
26.3%
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>
517 
기타
189 
자율
 
10

Length

Max length4
Median length4
Mean length3.4441341
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> 517
72.2%
기타 189
 
26.4%
자율 10
 
1.4%

Length

2024-04-21T16:38:03.256185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:38:03.452284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 517
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
102 

Length

Max length5
Median length4
Mean length4.1424581
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
85.8%
상수도전용 102
 
14.2%

Length

2024-04-21T16:38:03.647429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:38:03.825122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 614
85.8%
상수도전용 102
 
14.2%

총직원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
<NA>
664 
0
 
52

Length

Max length4
Median length4
Mean length3.7821229
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> 664
92.7%
0 52
 
7.3%

Length

2024-04-21T16:38:04.018693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:38:04.200103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 664
92.7%
0 52
 
7.3%

본사직원수
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
0
442 
<NA>
274 

Length

Max length4
Median length1
Mean length2.1480447
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 442
61.7%
<NA> 274
38.3%

Length

2024-04-21T16:38:04.385324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:38:04.562984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 442
61.7%
na 274
38.3%

공장사무직직원수
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
0
439 
<NA>
274 
1
 
2
2
 
1

Length

Max length4
Median length1
Mean length2.1480447
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 439
61.3%
<NA> 274
38.3%
1 2
 
0.3%
2 1
 
0.1%

Length

2024-04-21T16:38:04.751050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:38:04.939640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 439
61.3%
na 274
38.3%
1 2
 
0.3%
2 1
 
0.1%

공장판매직직원수
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
0
437 
<NA>
274 
6
 
2
75
 
1
5
 
1

Length

Max length4
Median length1
Mean length2.150838
Min length1

Unique

Unique3 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
0 437
61.0%
<NA> 274
38.3%
6 2
 
0.3%
75 1
 
0.1%
5 1
 
0.1%
15 1
 
0.1%

Length

2024-04-21T16:38:05.140167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:38:05.337924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 437
61.0%
na 274
38.3%
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
442 
<NA>
274 

Length

Max length4
Median length1
Mean length2.1480447
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 442
61.7%
<NA> 274
38.3%

Length

2024-04-21T16:38:05.548926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:38:05.726678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 442
61.7%
na 274
38.3%
Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
<NA>
532 
자가
128 
임대
56 

Length

Max length4
Median length4
Mean length3.4860335
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
74.3%
자가 128
 
17.9%
임대 56
 
7.8%

Length

2024-04-21T16:38:05.991324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:38:06.343773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 532
74.3%
자가 128
 
17.9%
임대 56
 
7.8%

보증액
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
<NA>
640 
0
76 

Length

Max length4
Median length4
Mean length3.6815642
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> 640
89.4%
0 76
 
10.6%

Length

2024-04-21T16:38:06.712468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:38:07.042000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 640
89.4%
0 76
 
10.6%

월세액
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
<NA>
640 
0
76 

Length

Max length4
Median length4
Mean length3.6815642
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> 640
89.4%
0 76
 
10.6%

Length

2024-04-21T16:38:07.396686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:38:07.725229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 640
89.4%
0 76
 
10.6%

다중이용업소여부
Boolean

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size844.0 B
False
716 
ValueCountFrequency (%)
False 716
100.0%
2024-04-21T16:38:07.998852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

ZEROS 

Distinct137
Distinct (%)19.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean86.217444
Minimum0
Maximum9790.33
Zeros574
Zeros (%)80.2%
Negative0
Negative (%)0.0%
Memory size6.4 KiB
2024-04-21T16:38:08.338490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile565.495
Maximum9790.33
Range9790.33
Interquartile range (IQR)0

Descriptive statistics

Standard deviation464.50752
Coefficient of variation (CV)5.3876281
Kurtosis275.23655
Mean86.217444
Median Absolute Deviation (MAD)0
Skewness14.40572
Sum61731.69
Variance215767.24
MonotonicityNot monotonic
2024-04-21T16:38:08.780197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 574
80.2%
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 (127) 127
 
17.7%
ValueCountFrequency (%)
0.0 574
80.2%
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%
5.5 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 

Missing716
Missing (%)100.0%
Memory size6.4 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing716
Missing (%)100.0%
Memory size6.4 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing716
Missing (%)100.0%
Memory size6.4 KiB

Unnamed: 47
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing716
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
706707식품판매업(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>
707708식품판매업(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>
708709식품판매업(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>
709710식품판매업(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>
710711식품판매업(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>
711712식품판매업(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>
712713식품판매업(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>
713714식품판매업(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>
714715식품판매업(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>
715716식품판매업(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>