Overview

Dataset statistics

Number of variables48
Number of observations731
Missing cells6970
Missing cells (%)19.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory292.8 KiB
Average record size in memory410.2 B

Variable types

Numeric7
Categorical22
Text6
DateTime4
Unsupported8
Boolean1

Dataset

Description2023-07-01
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
영업장주변구분명 is highly imbalanced (59.2%)Imbalance
공장사무직직원수 is highly imbalanced (50.8%)Imbalance
공장판매직직원수 is highly imbalanced (60.8%)Imbalance
인허가취소일자 has 731 (100.0%) missing valuesMissing
폐업일자 has 361 (49.4%) missing valuesMissing
휴업시작일자 has 731 (100.0%) missing valuesMissing
휴업종료일자 has 731 (100.0%) missing valuesMissing
재개업일자 has 731 (100.0%) missing valuesMissing
소재지전화 has 141 (19.3%) missing valuesMissing
소재지면적 has 112 (15.3%) missing valuesMissing
소재지우편번호 has 15 (2.1%) missing valuesMissing
도로명전체주소 has 205 (28.0%) missing valuesMissing
도로명우편번호 has 218 (29.8%) missing valuesMissing
좌표정보(x) has 35 (4.8%) missing valuesMissing
좌표정보(y) has 35 (4.8%) missing valuesMissing
전통업소지정번호 has 731 (100.0%) missing valuesMissing
전통업소주된음식 has 731 (100.0%) missing valuesMissing
홈페이지 has 731 (100.0%) missing valuesMissing
Unnamed: 47 has 731 (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
소재지면적 has 16 (2.2%) zerosZeros
시설총규모 has 584 (79.9%) zerosZeros

Reproduction

Analysis started2024-04-21 07:42:29.337933
Analysis finished2024-04-21 07:42:30.920488
Duration1.58 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct731
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean366
Minimum1
Maximum731
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.5 KiB
2024-04-21T16:42:31.105310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile37.5
Q1183.5
median366
Q3548.5
95-th percentile694.5
Maximum731
Range730
Interquartile range (IQR)365

Descriptive statistics

Standard deviation211.16581
Coefficient of variation (CV)0.57695577
Kurtosis-1.2
Mean366
Median Absolute Deviation (MAD)183
Skewness0
Sum267546
Variance44591
MonotonicityStrictly increasing
2024-04-21T16:42:31.557457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
482 1
 
0.1%
484 1
 
0.1%
485 1
 
0.1%
486 1
 
0.1%
487 1
 
0.1%
488 1
 
0.1%
489 1
 
0.1%
490 1
 
0.1%
491 1
 
0.1%
Other values (721) 721
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 (%)
731 1
0.1%
730 1
0.1%
729 1
0.1%
728 1
0.1%
727 1
0.1%
726 1
0.1%
725 1
0.1%
724 1
0.1%
723 1
0.1%
722 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
식품판매업(기타)
731 

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) 731
100.0%

Length

2024-04-21T16:42:31.985712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:42:32.299337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품판매업(기타 731
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
07_22_13_P
731 

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 731
100.0%

Length

2024-04-21T16:42:32.624539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:42:32.938411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
07_22_13_p 731
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3333748.3
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.5 KiB
2024-04-21T16:42:33.228413image/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 deviation38366.111
Coefficient of variation (CV)0.011508401
Kurtosis-0.72335812
Mean3333748.3
Median Absolute Deviation (MAD)30000
Skewness0.0040025852
Sum2.43697 × 109
Variance1.4719585 × 109
MonotonicityNot monotonic
2024-04-21T16:42:33.613847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3320000 99
13.5%
3340000 77
10.5%
3330000 68
9.3%
3290000 65
8.9%
3350000 56
7.7%
3390000 55
7.5%
3400000 47
 
6.4%
3300000 45
 
6.2%
3310000 44
 
6.0%
3380000 39
 
5.3%
Other values (6) 136
18.6%
ValueCountFrequency (%)
3250000 16
 
2.2%
3260000 12
 
1.6%
3270000 11
 
1.5%
3280000 29
 
4.0%
3290000 65
8.9%
3300000 45
6.2%
3310000 44
6.0%
3320000 99
13.5%
3330000 68
9.3%
3340000 77
10.5%
ValueCountFrequency (%)
3400000 47
6.4%
3390000 55
7.5%
3380000 39
 
5.3%
3370000 32
 
4.4%
3360000 36
 
4.9%
3350000 56
7.7%
3340000 77
10.5%
3330000 68
9.3%
3320000 99
13.5%
3310000 44
6.0%

관리번호
Text

UNIQUE 

Distinct731
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
2024-04-21T16:42:34.334648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters16082
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

Unique731 ?
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%
3320000-114-1994-00131 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%
3320000-114-1996-00156 1
 
0.1%
Other values (721) 721
98.6%
2024-04-21T16:42:35.434779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6303
39.2%
1 2365
 
14.7%
- 2193
 
13.6%
3 1601
 
10.0%
2 1095
 
6.8%
4 1020
 
6.3%
9 610
 
3.8%
6 291
 
1.8%
5 231
 
1.4%
7 191
 
1.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 13889
86.4%
Dash Punctuation 2193
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6303
45.4%
1 2365
 
17.0%
3 1601
 
11.5%
2 1095
 
7.9%
4 1020
 
7.3%
9 610
 
4.4%
6 291
 
2.1%
5 231
 
1.7%
7 191
 
1.4%
8 182
 
1.3%
Dash Punctuation
ValueCountFrequency (%)
- 2193
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 16082
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6303
39.2%
1 2365
 
14.7%
- 2193
 
13.6%
3 1601
 
10.0%
2 1095
 
6.8%
4 1020
 
6.3%
9 610
 
3.8%
6 291
 
1.8%
5 231
 
1.4%
7 191
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 16082
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6303
39.2%
1 2365
 
14.7%
- 2193
 
13.6%
3 1601
 
10.0%
2 1095
 
6.8%
4 1020
 
6.3%
9 610
 
3.8%
6 291
 
1.8%
5 231
 
1.4%
7 191
 
1.2%
Distinct654
Distinct (%)89.5%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
Minimum1985-09-09 00:00:00
Maximum2023-05-17 00:00:00
2024-04-21T16:42:35.837687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T16:42:36.258540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing731
Missing (%)100.0%
Memory size6.5 KiB
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
3
370 
1
361 

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 (%)
3 370
50.6%
1 361
49.4%

Length

2024-04-21T16:42:36.665836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:42:36.982532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 370
50.6%
1 361
49.4%

영업상태명
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
폐업
370 
영업/정상
361 

Length

Max length5
Median length2
Mean length3.4815321
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 370
50.6%
영업/정상 361
49.4%

Length

2024-04-21T16:42:37.340530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:42:37.672293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 370
50.6%
영업/정상 361
49.4%
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
2
370 
1
361 

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 (%)
2 370
50.6%
1 361
49.4%

Length

2024-04-21T16:42:38.013702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:42:38.334813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 370
50.6%
1 361
49.4%
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
폐업
370 
영업
361 

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 370
50.6%
영업 361
49.4%

Length

2024-04-21T16:42:38.671737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:42:38.987998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 370
50.6%
영업 361
49.4%

폐업일자
Date

MISSING 

Distinct316
Distinct (%)85.4%
Missing361
Missing (%)49.4%
Memory size5.8 KiB
Minimum1994-10-10 00:00:00
Maximum2023-05-09 00:00:00
2024-04-21T16:42:39.327261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T16:42:39.738577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing731
Missing (%)100.0%
Memory size6.5 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing731
Missing (%)100.0%
Memory size6.5 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing731
Missing (%)100.0%
Memory size6.5 KiB

소재지전화
Text

MISSING 

Distinct573
Distinct (%)97.1%
Missing141
Missing (%)19.3%
Memory size5.8 KiB
2024-04-21T16:42:40.732964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.398305
Min length7

Characters and Unicode

Total characters6725
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

Unique556 ?
Unique (%)94.2%

Sample

1st row051 2488106
2nd row051 2507700
3rd row051 2454900
4th row051 2421577
5th row051 254 0035
ValueCountFrequency (%)
051 533
37.2%
727 8
 
0.6%
724 6
 
0.4%
343 6
 
0.4%
728 5
 
0.3%
515 4
 
0.3%
703 4
 
0.3%
782 4
 
0.3%
897 4
 
0.3%
755 4
 
0.3%
Other values (724) 856
59.7%
2024-04-21T16:42:42.151471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1190
17.7%
5 1028
15.3%
1 976
14.5%
853
12.7%
2 531
7.9%
3 429
 
6.4%
8 374
 
5.6%
7 372
 
5.5%
4 350
 
5.2%
6 345
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5872
87.3%
Space Separator 853
 
12.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1190
20.3%
5 1028
17.5%
1 976
16.6%
2 531
9.0%
3 429
 
7.3%
8 374
 
6.4%
7 372
 
6.3%
4 350
 
6.0%
6 345
 
5.9%
9 277
 
4.7%
Space Separator
ValueCountFrequency (%)
853
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6725
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1190
17.7%
5 1028
15.3%
1 976
14.5%
853
12.7%
2 531
7.9%
3 429
 
6.4%
8 374
 
5.6%
7 372
 
5.5%
4 350
 
5.2%
6 345
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6725
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1190
17.7%
5 1028
15.3%
1 976
14.5%
853
12.7%
2 531
7.9%
3 429
 
6.4%
8 374
 
5.6%
7 372
 
5.5%
4 350
 
5.2%
6 345
 
5.1%

소재지면적
Real number (ℝ)

MISSING  ZEROS 

Distinct572
Distinct (%)92.4%
Missing112
Missing (%)15.3%
Infinite0
Infinite (%)0.0%
Mean1048.1117
Minimum0
Maximum20008
Zeros16
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size6.5 KiB
2024-04-21T16:42:42.565971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile38.196
Q1397.165
median572.95
Q3875.79
95-th percentile3112.514
Maximum20008
Range20008
Interquartile range (IQR)478.625

Descriptive statistics

Standard deviation2004.038
Coefficient of variation (CV)1.9120462
Kurtosis38.324008
Mean1048.1117
Median Absolute Deviation (MAD)205.29
Skewness5.7675669
Sum648781.13
Variance4016168.3
MonotonicityNot monotonic
2024-04-21T16:42:43.019062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 16
 
2.2%
396.0 3
 
0.4%
600.0 3
 
0.4%
682.72 2
 
0.3%
660.0 2
 
0.3%
536.14 2
 
0.3%
755.0 2
 
0.3%
321.5 2
 
0.3%
380.0 2
 
0.3%
407.87 2
 
0.3%
Other values (562) 583
79.8%
(Missing) 112
 
15.3%
ValueCountFrequency (%)
0.0 16
2.2%
2.0 1
 
0.1%
9.0 1
 
0.1%
12.6 1
 
0.1%
16.64 1
 
0.1%
18.06 1
 
0.1%
21.76 1
 
0.1%
22.08 1
 
0.1%
22.32 1
 
0.1%
22.62 1
 
0.1%
ValueCountFrequency (%)
20008.0 1
0.1%
17325.0 1
0.1%
16529.0 1
0.1%
14644.91 1
0.1%
13785.0 1
0.1%
13626.9 1
0.1%
12317.5 1
0.1%
11262.0 1
0.1%
11001.0 1
0.1%
10778.98 1
0.1%

소재지우편번호
Text

MISSING 

Distinct349
Distinct (%)48.7%
Missing15
Missing (%)2.1%
Memory size5.8 KiB
2024-04-21T16:42:44.087350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters5012
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

Unique167 ?
Unique (%)23.3%

Sample

1st row600-046
2nd row600-046
3rd row600-806
4th row600-061
5th row600-017
ValueCountFrequency (%)
618-814 10
 
1.4%
616-826 8
 
1.1%
608-832 7
 
1.0%
616-829 7
 
1.0%
616-807 7
 
1.0%
618-200 7
 
1.0%
612-824 7
 
1.0%
617-808 7
 
1.0%
604-852 6
 
0.8%
604-851 6
 
0.8%
Other values (339) 644
89.9%
2024-04-21T16:42:45.519372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 935
18.7%
8 736
14.7%
- 716
14.3%
1 714
14.2%
0 636
12.7%
2 303
 
6.0%
4 280
 
5.6%
3 234
 
4.7%
7 181
 
3.6%
9 177
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4296
85.7%
Dash Punctuation 716
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 935
21.8%
8 736
17.1%
1 714
16.6%
0 636
14.8%
2 303
 
7.1%
4 280
 
6.5%
3 234
 
5.4%
7 181
 
4.2%
9 177
 
4.1%
5 100
 
2.3%
Dash Punctuation
ValueCountFrequency (%)
- 716
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5012
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 935
18.7%
8 736
14.7%
- 716
14.3%
1 714
14.2%
0 636
12.7%
2 303
 
6.0%
4 280
 
5.6%
3 234
 
4.7%
7 181
 
3.6%
9 177
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5012
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 935
18.7%
8 736
14.7%
- 716
14.3%
1 714
14.2%
0 636
12.7%
2 303
 
6.0%
4 280
 
5.6%
3 234
 
4.7%
7 181
 
3.6%
9 177
 
3.5%
Distinct658
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
2024-04-21T16:42:46.630134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length43
Mean length22.129959
Min length14

Characters and Unicode

Total characters16177
Distinct characters260
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

Unique591 ?
Unique (%)80.8%

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 731
 
21.7%
북구 99
 
2.9%
사하구 77
 
2.3%
해운대구 68
 
2.0%
부산진구 65
 
1.9%
금정구 56
 
1.7%
사상구 55
 
1.6%
기장군 47
 
1.4%
동래구 45
 
1.3%
남구 44
 
1.3%
Other values (960) 2078
61.8%
2024-04-21T16:42:48.192199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2635
 
16.3%
855
 
5.3%
846
 
5.2%
1 822
 
5.1%
805
 
5.0%
755
 
4.7%
750
 
4.6%
733
 
4.5%
729
 
4.5%
- 590
 
3.6%
Other values (250) 6657
41.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9378
58.0%
Decimal Number 3439
 
21.3%
Space Separator 2635
 
16.3%
Dash Punctuation 590
 
3.6%
Other Punctuation 42
 
0.3%
Uppercase Letter 42
 
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 (%)
855
 
9.1%
846
 
9.0%
805
 
8.6%
755
 
8.1%
750
 
8.0%
733
 
7.8%
729
 
7.8%
149
 
1.6%
136
 
1.5%
130
 
1.4%
Other values (222) 3490
37.2%
Decimal Number
ValueCountFrequency (%)
1 822
23.9%
2 420
12.2%
3 382
11.1%
5 314
 
9.1%
4 294
 
8.5%
0 288
 
8.4%
8 251
 
7.3%
7 234
 
6.8%
6 231
 
6.7%
9 203
 
5.9%
Uppercase Letter
ValueCountFrequency (%)
B 18
42.9%
T 7
 
16.7%
G 4
 
9.5%
A 3
 
7.1%
H 2
 
4.8%
S 2
 
4.8%
K 2
 
4.8%
L 2
 
4.8%
W 1
 
2.4%
C 1
 
2.4%
Other Punctuation
ValueCountFrequency (%)
, 38
90.5%
@ 4
 
9.5%
Space Separator
ValueCountFrequency (%)
2635
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 590
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 9378
58.0%
Common 6756
41.8%
Latin 43
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
855
 
9.1%
846
 
9.0%
805
 
8.6%
755
 
8.1%
750
 
8.0%
733
 
7.8%
729
 
7.8%
149
 
1.6%
136
 
1.5%
130
 
1.4%
Other values (222) 3490
37.2%
Common
ValueCountFrequency (%)
2635
39.0%
1 822
 
12.2%
- 590
 
8.7%
2 420
 
6.2%
3 382
 
5.7%
5 314
 
4.6%
4 294
 
4.4%
0 288
 
4.3%
8 251
 
3.7%
7 234
 
3.5%
Other values (7) 526
 
7.8%
Latin
ValueCountFrequency (%)
B 18
41.9%
T 7
 
16.3%
G 4
 
9.3%
A 3
 
7.0%
H 2
 
4.7%
S 2
 
4.7%
K 2
 
4.7%
L 2
 
4.7%
e 1
 
2.3%
W 1
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9378
58.0%
ASCII 6799
42.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2635
38.8%
1 822
 
12.1%
- 590
 
8.7%
2 420
 
6.2%
3 382
 
5.6%
5 314
 
4.6%
4 294
 
4.3%
0 288
 
4.2%
8 251
 
3.7%
7 234
 
3.4%
Other values (18) 569
 
8.4%
Hangul
ValueCountFrequency (%)
855
 
9.1%
846
 
9.0%
805
 
8.6%
755
 
8.1%
750
 
8.0%
733
 
7.8%
729
 
7.8%
149
 
1.6%
136
 
1.5%
130
 
1.4%
Other values (222) 3490
37.2%

도로명전체주소
Text

MISSING 

Distinct508
Distinct (%)96.6%
Missing205
Missing (%)28.0%
Memory size5.8 KiB
2024-04-21T16:42:49.541060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length51.5
Mean length30.536122
Min length20

Characters and Unicode

Total characters16062
Distinct characters307
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

Unique490 ?
Unique (%)93.2%

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 526
 
16.7%
1층 115
 
3.7%
사하구 58
 
1.8%
해운대구 57
 
1.8%
부산진구 49
 
1.6%
금정구 43
 
1.4%
사상구 41
 
1.3%
기장군 37
 
1.2%
강서구 36
 
1.1%
지하1층 36
 
1.1%
Other values (940) 2145
68.2%
2024-04-21T16:42:51.524640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2622
 
16.3%
1 763
 
4.8%
662
 
4.1%
640
 
4.0%
636
 
4.0%
567
 
3.5%
560
 
3.5%
527
 
3.3%
521
 
3.2%
518
 
3.2%
Other values (297) 8046
50.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9525
59.3%
Space Separator 2622
 
16.3%
Decimal Number 2394
 
14.9%
Open Punctuation 504
 
3.1%
Close Punctuation 504
 
3.1%
Other Punctuation 402
 
2.5%
Uppercase Letter 43
 
0.3%
Dash Punctuation 42
 
0.3%
Math Symbol 24
 
0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
662
 
7.0%
640
 
6.7%
636
 
6.7%
567
 
6.0%
560
 
5.9%
527
 
5.5%
521
 
5.5%
518
 
5.4%
240
 
2.5%
228
 
2.4%
Other values (266) 4426
46.5%
Uppercase Letter
ValueCountFrequency (%)
B 19
44.2%
A 6
 
14.0%
C 4
 
9.3%
G 3
 
7.0%
K 2
 
4.7%
H 2
 
4.7%
S 2
 
4.7%
L 1
 
2.3%
W 1
 
2.3%
T 1
 
2.3%
Other values (2) 2
 
4.7%
Decimal Number
ValueCountFrequency (%)
1 763
31.9%
2 311
13.0%
3 242
 
10.1%
0 221
 
9.2%
4 212
 
8.9%
5 164
 
6.9%
7 135
 
5.6%
6 126
 
5.3%
9 114
 
4.8%
8 106
 
4.4%
Other Punctuation
ValueCountFrequency (%)
, 400
99.5%
@ 2
 
0.5%
Lowercase Letter
ValueCountFrequency (%)
e 1
50.0%
b 1
50.0%
Space Separator
ValueCountFrequency (%)
2622
100.0%
Open Punctuation
ValueCountFrequency (%)
( 504
100.0%
Close Punctuation
ValueCountFrequency (%)
) 504
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 42
100.0%
Math Symbol
ValueCountFrequency (%)
~ 24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9525
59.3%
Common 6492
40.4%
Latin 45
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
662
 
7.0%
640
 
6.7%
636
 
6.7%
567
 
6.0%
560
 
5.9%
527
 
5.5%
521
 
5.5%
518
 
5.4%
240
 
2.5%
228
 
2.4%
Other values (266) 4426
46.5%
Common
ValueCountFrequency (%)
2622
40.4%
1 763
 
11.8%
( 504
 
7.8%
) 504
 
7.8%
, 400
 
6.2%
2 311
 
4.8%
3 242
 
3.7%
0 221
 
3.4%
4 212
 
3.3%
5 164
 
2.5%
Other values (7) 549
 
8.5%
Latin
ValueCountFrequency (%)
B 19
42.2%
A 6
 
13.3%
C 4
 
8.9%
G 3
 
6.7%
K 2
 
4.4%
H 2
 
4.4%
S 2
 
4.4%
L 1
 
2.2%
e 1
 
2.2%
W 1
 
2.2%
Other values (4) 4
 
8.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9525
59.3%
ASCII 6537
40.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2622
40.1%
1 763
 
11.7%
( 504
 
7.7%
) 504
 
7.7%
, 400
 
6.1%
2 311
 
4.8%
3 242
 
3.7%
0 221
 
3.4%
4 212
 
3.2%
5 164
 
2.5%
Other values (21) 594
 
9.1%
Hangul
ValueCountFrequency (%)
662
 
7.0%
640
 
6.7%
636
 
6.7%
567
 
6.0%
560
 
5.9%
527
 
5.5%
521
 
5.5%
518
 
5.4%
240
 
2.5%
228
 
2.4%
Other values (266) 4426
46.5%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct380
Distinct (%)74.1%
Missing218
Missing (%)29.8%
Infinite0
Infinite (%)0.0%
Mean47674.084
Minimum46004
Maximum49520
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.5 KiB
2024-04-21T16:42:51.927738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46004
5-th percentile46064
Q146759
median47604
Q348495
95-th percentile49392.6
Maximum49520
Range3516
Interquartile range (IQR)1736

Descriptive statistics

Standard deviation1062.4703
Coefficient of variation (CV)0.022286118
Kurtosis-1.1478545
Mean47674.084
Median Absolute Deviation (MAD)853
Skewness0.14442451
Sum24456805
Variance1128843.1
MonotonicityNot monotonic
2024-04-21T16:42:52.365444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
46230 5
 
0.7%
46759 5
 
0.7%
49108 4
 
0.5%
47369 4
 
0.5%
49494 4
 
0.5%
46726 4
 
0.5%
46762 4
 
0.5%
48515 4
 
0.5%
46764 3
 
0.4%
48053 3
 
0.4%
Other values (370) 473
64.7%
(Missing) 218
29.8%
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
0.5%
49490 1
 
0.1%
49482 1
 
0.1%
49477 2
0.3%
Distinct632
Distinct (%)86.5%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
2024-04-21T16:42:53.486213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length23
Mean length8.5102599
Min length2

Characters and Unicode

Total characters6221
Distinct characters328
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

Unique587 ?
Unique (%)80.3%

Sample

1st row자갈치 탑마트
2nd row(주)농협유통 하나로마트 자갈치점
3rd row(주)프로유통(빅세일마트)
4th row가람리테일
5th row롯데쇼핑(주)롯데마트광복점
ValueCountFrequency (%)
주)서원유통 19
 
2.0%
탑마트 19
 
2.0%
탑플러스마트 13
 
1.3%
롯데쇼핑(주)롯데슈퍼 12
 
1.2%
빅세일마트 11
 
1.1%
더마트 10
 
1.0%
탑세일마트 10
 
1.0%
주)지에스리테일 9
 
0.9%
농축산마트 8
 
0.8%
홈플러스(주 7
 
0.7%
Other values (679) 856
87.9%
2024-04-21T16:42:55.050378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
478
 
7.7%
468
 
7.5%
) 295
 
4.7%
( 292
 
4.7%
291
 
4.7%
267
 
4.3%
243
 
3.9%
174
 
2.8%
93
 
1.5%
89
 
1.4%
Other values (318) 3531
56.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5253
84.4%
Close Punctuation 295
 
4.7%
Open Punctuation 292
 
4.7%
Space Separator 243
 
3.9%
Uppercase Letter 110
 
1.8%
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 (%)
478
 
9.1%
468
 
8.9%
291
 
5.5%
267
 
5.1%
174
 
3.3%
93
 
1.8%
89
 
1.7%
78
 
1.5%
77
 
1.5%
73
 
1.4%
Other values (282) 3165
60.3%
Uppercase Letter
ValueCountFrequency (%)
S 25
22.7%
G 14
12.7%
H 10
 
9.1%
E 10
 
9.1%
C 9
 
8.2%
R 6
 
5.5%
F 6
 
5.5%
T 6
 
5.5%
M 5
 
4.5%
K 5
 
4.5%
Other values (8) 14
12.7%
Decimal Number
ValueCountFrequency (%)
2 9
50.0%
1 3
 
16.7%
3 2
 
11.1%
4 1
 
5.6%
7 1
 
5.6%
5 1
 
5.6%
6 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 (%)
) 295
100.0%
Open Punctuation
ValueCountFrequency (%)
( 292
100.0%
Space Separator
ValueCountFrequency (%)
243
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5253
84.4%
Common 855
 
13.7%
Latin 113
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
478
 
9.1%
468
 
8.9%
291
 
5.5%
267
 
5.1%
174
 
3.3%
93
 
1.8%
89
 
1.7%
78
 
1.5%
77
 
1.5%
73
 
1.4%
Other values (282) 3165
60.3%
Latin
ValueCountFrequency (%)
S 25
22.1%
G 14
12.4%
H 10
 
8.8%
E 10
 
8.8%
C 9
 
8.0%
R 6
 
5.3%
F 6
 
5.3%
T 6
 
5.3%
M 5
 
4.4%
K 5
 
4.4%
Other values (11) 17
15.0%
Common
ValueCountFrequency (%)
) 295
34.5%
( 292
34.2%
243
28.4%
2 9
 
1.1%
1 3
 
0.4%
3 2
 
0.2%
- 2
 
0.2%
. 2
 
0.2%
& 1
 
0.1%
4 1
 
0.1%
Other values (5) 5
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5253
84.4%
ASCII 968
 
15.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
478
 
9.1%
468
 
8.9%
291
 
5.5%
267
 
5.1%
174
 
3.3%
93
 
1.8%
89
 
1.7%
78
 
1.5%
77
 
1.5%
73
 
1.4%
Other values (282) 3165
60.3%
ASCII
ValueCountFrequency (%)
) 295
30.5%
( 292
30.2%
243
25.1%
S 25
 
2.6%
G 14
 
1.4%
H 10
 
1.0%
E 10
 
1.0%
2 9
 
0.9%
C 9
 
0.9%
R 6
 
0.6%
Other values (26) 55
 
5.7%
Distinct650
Distinct (%)88.9%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
Minimum1999-06-07 00:00:00
Maximum2023-05-30 15:54:22
2024-04-21T16:42:55.446906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T16:42:55.892343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
I
386 
U
345 

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 386
52.8%
U 345
47.2%

Length

2024-04-21T16:42:56.321075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:42:56.639555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 386
52.8%
u 345
47.2%
Distinct281
Distinct (%)38.4%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
Minimum2018-08-31 23:59:59
Maximum2023-06-02 01:13:41
2024-04-21T16:42:56.957104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T16:42:57.389258image/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 size5.8 KiB
기타식품판매업
727 
식품조사처리업
 
3
<NA>
 
1

Length

Max length7
Median length7
Mean length6.995896
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
기타식품판매업 727
99.5%
식품조사처리업 3
 
0.4%
<NA> 1
 
0.1%

Length

2024-04-21T16:42:57.834994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:42:58.171613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타식품판매업 727
99.5%
식품조사처리업 3
 
0.4%
na 1
 
0.1%

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct555
Distinct (%)79.7%
Missing35
Missing (%)4.8%
Infinite0
Infinite (%)0.0%
Mean387522.39
Minimum366779.27
Maximum409357.29
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.5 KiB
2024-04-21T16:42:58.528168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum366779.27
5-th percentile378430.77
Q1382629.04
median387844.07
Q3391815.35
95-th percentile399419.15
Maximum409357.29
Range42578.012
Interquartile range (IQR)9186.3125

Descriptive statistics

Standard deviation6897.2532
Coefficient of variation (CV)0.017798334
Kurtosis0.3241913
Mean387522.39
Median Absolute Deviation (MAD)4534.5962
Skewness0.13207019
Sum2.6971559 × 108
Variance47572101
MonotonicityNot monotonic
2024-04-21T16:42:58.957222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
388737.870459629 3
 
0.4%
385770.215097102 3
 
0.4%
389016.879192016 3
 
0.4%
387887.847334313 3
 
0.4%
387702.984126962 3
 
0.4%
392819.209113096 3
 
0.4%
392378.665367078 3
 
0.4%
387274.123524645 3
 
0.4%
381186.646505489 3
 
0.4%
390038.68419681 3
 
0.4%
Other values (545) 666
91.1%
(Missing) 35
 
4.8%
ValueCountFrequency (%)
366779.273667147 1
0.1%
366799.216536422 1
0.1%
366829.531355996 1
0.1%
368050.124865436 1
0.1%
369120.976733419 1
0.1%
371059.782971878 1
0.1%
371178.823833632 2
0.3%
371213.538987746 1
0.1%
371340.78580601 2
0.3%
371572.909768463 1
0.1%
ValueCountFrequency (%)
409357.285497075 1
0.1%
407434.699435546 1
0.1%
407418.650148508 1
0.1%
407290.984345075 1
0.1%
407245.51808397 2
0.3%
405376.498098434 1
0.1%
404088.624872995 1
0.1%
403214.458027912 1
0.1%
402187.626249677 1
0.1%
402168.69425719 1
0.1%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct555
Distinct (%)79.7%
Missing35
Missing (%)4.8%
Infinite0
Infinite (%)0.0%
Mean187564.21
Minimum174289.98
Maximum206150.93
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.5 KiB
2024-04-21T16:42:59.348569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum174289.98
5-th percentile177653.44
Q1182729.26
median187577.2
Q3191823.55
95-th percentile197912.49
Maximum206150.93
Range31860.948
Interquartile range (IQR)9094.2813

Descriptive statistics

Standard deviation6557.5431
Coefficient of variation (CV)0.03496159
Kurtosis-0.028690161
Mean187564.21
Median Absolute Deviation (MAD)4321.4354
Skewness0.31675665
Sum1.3054469 × 108
Variance43001371
MonotonicityNot monotonic
2024-04-21T16:42:59.770009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
189017.449131626 3
 
0.4%
192276.385535768 3
 
0.4%
176951.726317039 3
 
0.4%
187966.542955161 3
 
0.4%
184696.888361249 3
 
0.4%
187998.404942507 3
 
0.4%
184491.727482399 3
 
0.4%
184575.633639399 3
 
0.4%
190340.141159379 3
 
0.4%
191142.980733675 3
 
0.4%
Other values (545) 666
91.1%
(Missing) 35
 
4.8%
ValueCountFrequency (%)
174289.976688419 1
0.1%
174307.148168245 1
0.1%
174638.869997904 1
0.1%
174774.894177567 2
0.3%
174811.513941025 1
0.1%
174835.290190726 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%
206113.881439318 1
0.1%
205902.242523837 1
0.1%
205698.975086484 1
0.1%
205690.945808404 1
0.1%
205620.694333095 1
0.1%
205540.481848141 2
0.3%
205426.886676084 1
0.1%
205344.462661957 1
0.1%
205187.183814795 2
0.3%

위생업태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
기타식품판매업
727 
식품조사처리업
 
3
<NA>
 
1

Length

Max length7
Median length7
Mean length6.995896
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
기타식품판매업 727
99.5%
식품조사처리업 3
 
0.4%
<NA> 1
 
0.1%

Length

2024-04-21T16:43:00.205385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:43:00.541548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타식품판매업 727
99.5%
식품조사처리업 3
 
0.4%
na 1
 
0.1%
Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
<NA>
561 
0
169 
1
 
1

Length

Max length4
Median length4
Mean length3.3023256
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> 561
76.7%
0 169
 
23.1%
1 1
 
0.1%

Length

2024-04-21T16:43:00.901309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:43:01.235451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 561
76.7%
0 169
 
23.1%
1 1
 
0.1%
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
<NA>
562 
0
169 

Length

Max length4
Median length4
Mean length3.3064295
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> 562
76.9%
0 169
 
23.1%

Length

2024-04-21T16:43:01.596330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:43:01.921293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 562
76.9%
0 169
 
23.1%

영업장주변구분명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
<NA>
532 
기타
188 
주택가주변
 
7
아파트지역
 
3
학교정화(절대)
 
1

Length

Max length8
Median length4
Mean length3.504788
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> 532
72.8%
기타 188
 
25.7%
주택가주변 7
 
1.0%
아파트지역 3
 
0.4%
학교정화(절대) 1
 
0.1%

Length

2024-04-21T16:43:02.280850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:43:02.620016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 532
72.8%
기타 188
 
25.7%
주택가주변 7
 
1.0%
아파트지역 3
 
0.4%
학교정화(절대 1
 
0.1%

등급구분명
Categorical

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
<NA>
532 
기타
189 
자율
 
10

Length

Max length4
Median length4
Mean length3.4555404
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> 532
72.8%
기타 189
 
25.9%
자율 10
 
1.4%

Length

2024-04-21T16:43:03.022236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:43:03.368944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 532
72.8%
기타 189
 
25.9%
자율 10
 
1.4%
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
<NA>
628 
상수도전용
103 

Length

Max length5
Median length4
Mean length4.1409029
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> 628
85.9%
상수도전용 103
 
14.1%

Length

2024-04-21T16:43:03.727591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:43:04.049877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 628
85.9%
상수도전용 103
 
14.1%

총직원수
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
<NA>
637 
0
94 

Length

Max length4
Median length4
Mean length3.6142271
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> 637
87.1%
0 94
 
12.9%

Length

2024-04-21T16:43:04.408354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:43:04.738064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 637
87.1%
0 94
 
12.9%

본사직원수
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
0
466 
<NA>
265 

Length

Max length4
Median length1
Mean length2.0875513
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 466
63.7%
<NA> 265
36.3%

Length

2024-04-21T16:43:05.288099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:43:05.606512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 466
63.7%
na 265
36.3%

공장사무직직원수
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
0
463 
<NA>
265 
1
 
2
2
 
1

Length

Max length4
Median length1
Mean length2.0875513
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 463
63.3%
<NA> 265
36.3%
1 2
 
0.3%
2 1
 
0.1%

Length

2024-04-21T16:43:05.953391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:43:06.282662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 463
63.3%
na 265
36.3%
1 2
 
0.3%
2 1
 
0.1%

공장판매직직원수
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
0
461 
<NA>
265 
6
 
2
75
 
1
5
 
1

Length

Max length4
Median length1
Mean length2.0902873
Min length1

Unique

Unique3 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
0 461
63.1%
<NA> 265
36.3%
6 2
 
0.3%
75 1
 
0.1%
5 1
 
0.1%
15 1
 
0.1%

Length

2024-04-21T16:43:06.651287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:43:06.991461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 461
63.1%
na 265
36.3%
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 size5.8 KiB
0
466 
<NA>
265 

Length

Max length4
Median length1
Mean length2.0875513
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 466
63.7%
<NA> 265
36.3%

Length

2024-04-21T16:43:07.373561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:43:07.695436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 466
63.7%
na 265
36.3%
Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
<NA>
542 
자가
133 
임대
56 

Length

Max length4
Median length4
Mean length3.4829001
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> 542
74.1%
자가 133
 
18.2%
임대 56
 
7.7%

Length

2024-04-21T16:43:08.062799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:43:08.409450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 542
74.1%
자가 133
 
18.2%
임대 56
 
7.7%

보증액
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
<NA>
614 
0
117 

Length

Max length4
Median length4
Mean length3.5198358
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> 614
84.0%
0 117
 
16.0%

Length

2024-04-21T16:43:08.776825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:43:09.106803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 614
84.0%
0 117
 
16.0%

월세액
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
<NA>
614 
0
117 

Length

Max length4
Median length4
Mean length3.5198358
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> 614
84.0%
0 117
 
16.0%

Length

2024-04-21T16:43:09.461311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:43:09.791062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 614
84.0%
0 117
 
16.0%

다중이용업소여부
Boolean

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size859.0 B
False
731 
ValueCountFrequency (%)
False 731
100.0%
2024-04-21T16:43:10.065012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

ZEROS 

Distinct142
Distinct (%)19.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean85.366101
Minimum0
Maximum9790.33
Zeros584
Zeros (%)79.9%
Negative0
Negative (%)0.0%
Memory size6.5 KiB
2024-04-21T16:43:10.407260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile561.785
Maximum9790.33
Range9790.33
Interquartile range (IQR)0

Descriptive statistics

Standard deviation460.04297
Coefficient of variation (CV)5.3890592
Kurtosis280.31359
Mean85.366101
Median Absolute Deviation (MAD)0
Skewness14.529873
Sum62402.62
Variance211639.53
MonotonicityNot monotonic
2024-04-21T16:43:10.854776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 584
79.9%
6.46 3
 
0.4%
495.0 2
 
0.3%
682.72 2
 
0.3%
15.0 2
 
0.3%
16.8 2
 
0.3%
565.36 1
 
0.1%
6.0 1
 
0.1%
996.8 1
 
0.1%
888.07 1
 
0.1%
Other values (132) 132
 
18.1%
ValueCountFrequency (%)
0.0 584
79.9%
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 

Missing731
Missing (%)100.0%
Memory size6.5 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing731
Missing (%)100.0%
Memory size6.5 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing731
Missing (%)100.0%
Memory size6.5 KiB

Unnamed: 47
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing731
Missing (%)100.0%
Memory size6.5 KiB

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총직원수본사직원수공장사무직직원수공장판매직직원수공장생산직직원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지Unnamed: 47
01식품판매업(기타)07_22_13_P32500003250000-114-2000-000022001-08-09<NA>1영업/정상1영업<NA><NA><NA><NA>051 2488106565.36600-046부산광역시 중구 남포동6가 3 신천지백화점 1층부산광역시 중구 자갈치로 33, 1층 (남포동6가, 신천지백화점)48982자갈치 탑마트2013-04-02 15:48:02I2018-08-31 23:59:59기타식품판매업384836.914456179432.73458기타식품판매업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N565.36<NA><NA><NA><NA>
12식품판매업(기타)07_22_13_P32500003250000-114-1996-004141996-09-06<NA>1영업/정상1영업<NA><NA><NA><NA>051 25077002405.07600-046부산광역시 중구 남포동6가 1-0부산광역시 중구 구덕로 73 (남포동6가)48982(주)농협유통 하나로마트 자갈치점2022-04-11 14:28:01U2022-04-13 02:40:00기타식품판매업384820.119269179460.841059기타식품판매업00기타기타<NA><NA>0000<NA><NA><NA>N2405.07<NA><NA><NA><NA>
23식품판매업(기타)07_22_13_P32500003250000-114-1996-004161996-11-14<NA>1영업/정상1영업<NA><NA><NA><NA>051 2454900473.37600-806부산광역시 중구 부평동2가 16부산광역시 중구 부평1길 48 (부평동2가)48977(주)프로유통(빅세일마트)2016-06-15 11:45:58I2018-08-31 23:59:59기타식품판매업384663.000969179927.870276기타식품판매업<NA><NA>기타기타<NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA><NA>
34식품판매업(기타)07_22_13_P32500003250000-114-2011-000012011-01-10<NA>1영업/정상1영업<NA><NA><NA><NA>051 2421577530.19600-061부산광역시 중구 신창동1가 1-3 외 1필지부산광역시 중구 광복중앙로 33 (신창동1가, 외 1필지)48948가람리테일2012-02-09 09:32:20I2018-08-31 23:59:59기타식품판매업385074.813547180031.035347기타식품판매업<NA><NA><NA><NA><NA><NA>0000자가<NA><NA>N0.0<NA><NA><NA><NA>
45식품판매업(기타)07_22_13_P32500003250000-114-2014-000012014-08-25<NA>1영업/정상1영업<NA><NA><NA><NA><NA>963.0600-017부산광역시 중구 중앙동7가 20-1 롯데몰 마트시네마동 롯데마트광복점 지하2층부산광역시 중구 중앙대로 2, 지하1층 (중앙동7가, 롯데몰 마트시네마동 롯데마트광복점)48944롯데쇼핑(주)롯데마트광복점2022-04-19 15:52:04U2022-04-21 02:40:00기타식품판매업385590.814677179553.867032기타식품판매업<NA><NA><NA><NA>상수도전용<NA>00750자가<NA><NA>N0.0<NA><NA><NA><NA>
56식품판매업(기타)07_22_13_P32500003250000-114-2016-000012016-07-27<NA>1영업/정상1영업<NA><NA><NA><NA>051 254 0035576.13600-044부산광역시 중구 남포동4가 44-3부산광역시 중구 자갈치해안로 60, 1~3층 (남포동4가)48984제1,2구 잠수기수협 바다마트2023-04-07 17:55:25U2023-04-09 02:40:00기타식품판매업385191.013393179401.283402기타식품판매업00<NA><NA><NA>00000자가00N576.13<NA><NA><NA><NA>
67식품판매업(기타)07_22_13_P32500003250000-114-2016-000022016-11-18<NA>1영업/정상1영업<NA><NA><NA><NA>051 469 5770595.77600-815부산광역시 중구 중앙동4가 37-16부산광역시 중구 중앙대로81번길 9, 1층 (중앙동4가)48930(주)두배로마트2017-08-11 13:32:14I2018-08-31 23:59:59기타식품판매업385473.57641180297.978229기타식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자가<NA><NA>N595.77<NA><NA><NA><NA>
78식품판매업(기타)07_22_13_P32500003250000-114-2009-000022009-12-18<NA>1영업/정상1영업<NA><NA><NA><NA>051 67830041147.0600-017부산광역시 중구 중앙동7가 20-1 외110필지 (롯데백화점 지하1층)부산광역시 중구 중앙대로 2, 지하1층 (중앙동7가, 외110필지 롯데백화점)48944롯데쇼핑주식회사2022-04-14 15:38:50U2022-04-16 02:40:00기타식품판매업385590.814677179553.867032기타식품판매업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA><NA>
89식품판매업(기타)07_22_13_P32500003250000-114-2021-000012021-01-14<NA>1영업/정상1영업<NA><NA><NA><NA>051 241 4980680.0600-074부산광역시 중구 부평동4가 52-3부산광역시 중구 보수대로 82, 1층 (부평동4가)48973에스씨(SC)마트2021-01-14 14:54:43I2021-01-16 00:23:15기타식품판매업384249.201711180080.172972기타식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자가<NA><NA>N10.0<NA><NA><NA><NA>
910식품판매업(기타)07_22_13_P32600003260000-114-2019-000012019-03-27<NA>1영업/정상1영업<NA><NA><NA><NA>051 25590051131.95602-838부산광역시 서구 토성동1가 25-1 경동 리인부산광역시 서구 보수대로 27, 1층 (토성동1가, 경동 리인)49247경동빅마트2022-06-29 17:15:58U2022-07-01 02:40:00기타식품판매업384479.160909179674.849131기타식품판매업00<NA><NA><NA>00000자가00N0.0<NA><NA><NA><NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총직원수본사직원수공장사무직직원수공장판매직직원수공장생산직직원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지Unnamed: 47
721722식품판매업(기타)07_22_13_P34000003400000-114-1998-001761998-01-17<NA>3폐업2폐업1999-02-03<NA><NA><NA>051 72241760.0619-903부산광역시 기장군 기장읍 대라리 162-13<NA><NA>무지개식품2002-02-25 00:00:00I2018-08-31 23:59:59기타식품판매업401222.30775195403.979698기타식품판매업1<NA>아파트지역기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA><NA>
722723식품판매업(기타)07_22_13_P34000003400000-114-2002-000012002-09-28<NA>3폐업2폐업2016-02-05<NA><NA><NA><NA><NA>619-901부산광역시 기장군 기장읍 교리 356-2부산광역시 기장군 기장읍 차성로 43446055우와마트2016-02-05 09:14:00I2018-08-31 23:59:59기타식품판매업401756.246296197244.945141기타식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA><NA>
723724식품판매업(기타)07_22_13_P34000003400000-114-2003-000012003-08-01<NA>3폐업2폐업2018-03-15<NA><NA><NA>051 724 45001821.83619-903부산광역시 기장군 기장읍 대라리 57부산광역시 기장군 기장읍 차성동로 6346066홈플러스 익스프레스 기장점2018-03-15 16:11:23I2018-08-31 23:59:59기타식품판매업401671.555424196027.510818기타식품판매업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA><NA>
724725식품판매업(기타)07_22_13_P34000003400000-114-2007-000012007-02-07<NA>3폐업2폐업2010-01-11<NA><NA><NA>051 7274983316.25619-951부산광역시 기장군 장안읍 월내리 11-1<NA><NA>세호마트2007-02-07 00:00:00I2018-08-31 23:59:59기타식품판매업407245.518084205540.481848기타식품판매업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA><NA>
725726식품판매업(기타)07_22_13_P34000003400000-114-2007-000022007-08-07<NA>3폐업2폐업2020-06-29<NA><NA><NA>051 722 44751336.0619-905부산광역시 기장군 기장읍 동부리 124부산광역시 기장군 기장읍 차성로 31446061엄마야마트가자2020-06-29 16:03:33U2020-07-01 02:40:00기타식품판매업401451.765883196278.103365기타식품판매업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA><NA>
726727식품판매업(기타)07_22_13_P34000003400000-114-1998-001771998-10-20<NA>3폐업2폐업2006-09-22<NA><NA><NA>051 7227585<NA>619-903부산광역시 기장군 기장읍 대라리 68-9<NA><NA>빅세일기장점2002-06-08 00:00:00I2018-08-31 23:59:59기타식품판매업401617.638635196097.167397기타식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA><NA>
727728식품판매업(기타)07_22_13_P34000003400000-114-1999-002331999-05-18<NA>3폐업2폐업2006-03-06<NA><NA><NA>051 7242949<NA>619-912부산광역시 기장군 일광면 삼성리 36-4<NA><NA>(주)홈마트2002-06-08 00:00:00I2018-08-31 23:59:59기타식품판매업<NA><NA>기타식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA><NA>
728729식품판매업(기타)07_22_13_P34000003400000-114-2008-000012008-01-10<NA>3폐업2폐업2013-04-01<NA><NA><NA>0517279910348.25619-952부산광역시 기장군 장안읍 길천리 207-3부산광역시 기장군 장안읍 해맞이로 424<NA>동양마트2008-01-15 10:03:32I2018-08-31 23:59:59기타식품판매업407434.699436205690.945808기타식품판매업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA><NA>
729730식품판매업(기타)07_22_13_P34000003400000-114-2014-000052014-12-22<NA>3폐업2폐업2022-11-29<NA><NA><NA>051 727 1712435.0619-902부산광역시 기장군 기장읍 당사리 64 롯데몰 동부산점 A131호부산광역시 기장군 기장읍 기장해안로 147, A131호 (롯데몰 동부산점)46084동부산농협 향토특산물관2022-11-29 16:55:31U2023-05-26 08:48:36기타식품판매업401473.950699190354.255834기타식품판매업00<NA><NA>상수도전용00000자가00N435.0<NA><NA><NA><NA>
730731식품판매업(기타)07_22_13_P34000003400000-114-2011-000022011-08-08<NA>3폐업2폐업2018-09-05<NA><NA><NA>051 529 5700546.94619-902부산광역시 기장군 기장읍 내리 775-5부산광역시 기장군 기장읍 기장대로 85, 1층46076농축산마트2018-09-05 20:15:21U2018-09-05 23:59:59기타식품판매업400809.773502191737.640257기타식품판매업<NA><NA><NA><NA><NA><NA>0000자가<NA><NA>N0.0<NA><NA><NA><NA>