Overview

Dataset statistics

Number of variables48
Number of observations704
Missing cells6670
Missing cells (%)19.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory284.1 KiB
Average record size in memory413.2 B

Variable types

Numeric10
Categorical22
Text6
Unsupported8
DateTime1
Boolean1

Dataset

Description2021-09-01
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20230901050101123106

Alerts

개방서비스명 has constant value ""Constant
개방서비스id has constant value ""Constant
다중이용업소여부 has constant value ""Constant
업태구분명 is highly imbalanced (93.4%)Imbalance
위생업태명 is highly imbalanced (93.4%)Imbalance
남성종사자수 is highly imbalanced (66.5%)Imbalance
영업장주변구분명 is highly imbalanced (58.4%)Imbalance
총종업원수 is highly imbalanced (97.2%)Imbalance
공장판매직종업원수 is highly imbalanced (59.8%)Imbalance
보증액 is highly imbalanced (76.5%)Imbalance
월세액 is highly imbalanced (77.2%)Imbalance
인허가취소일자 has 704 (100.0%) missing valuesMissing
폐업일자 has 362 (51.4%) missing valuesMissing
휴업시작일자 has 704 (100.0%) missing valuesMissing
휴업종료일자 has 704 (100.0%) missing valuesMissing
재개업일자 has 704 (100.0%) missing valuesMissing
소재지전화 has 76 (10.8%) missing valuesMissing
소재지면적 has 112 (15.9%) missing valuesMissing
소재지우편번호 has 11 (1.6%) missing valuesMissing
도로명전체주소 has 205 (29.1%) missing valuesMissing
도로명우편번호 has 218 (31.0%) missing valuesMissing
좌표정보(x) has 27 (3.8%) missing valuesMissing
좌표정보(y) has 27 (3.8%) missing valuesMissing
전통업소지정번호 has 704 (100.0%) missing valuesMissing
전통업소주된음식 has 704 (100.0%) missing valuesMissing
홈페이지 has 704 (100.0%) missing valuesMissing
Unnamed: 47 has 704 (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 584 (83.0%) zerosZeros

Reproduction

Analysis started2024-04-21 07:25:04.245003
Analysis finished2024-04-21 07:25:05.667334
Duration1.42 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct704
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean352.5
Minimum1
Maximum704
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2024-04-21T16:25:06.023557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile36.15
Q1176.75
median352.5
Q3528.25
95-th percentile668.85
Maximum704
Range703
Interquartile range (IQR)351.5

Descriptive statistics

Standard deviation203.37158
Coefficient of variation (CV)0.57694066
Kurtosis-1.2
Mean352.5
Median Absolute Deviation (MAD)176
Skewness0
Sum248160
Variance41360
MonotonicityStrictly increasing
2024-04-21T16:25:06.481739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
354 1
 
0.1%
466 1
 
0.1%
467 1
 
0.1%
468 1
 
0.1%
469 1
 
0.1%
470 1
 
0.1%
471 1
 
0.1%
472 1
 
0.1%
473 1
 
0.1%
Other values (694) 694
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 (%)
704 1
0.1%
703 1
0.1%
702 1
0.1%
701 1
0.1%
700 1
0.1%
699 1
0.1%
698 1
0.1%
697 1
0.1%
696 1
0.1%
695 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
식품판매업(기타)
704 

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) 704
100.0%

Length

2024-04-21T16:25:06.925680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:25:07.245936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품판매업(기타 704
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
07_22_13_P
704 

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 704
100.0%

Length

2024-04-21T16:25:07.584907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:25:07.904766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
07_22_13_p 704
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3333096.6
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2024-04-21T16:25:08.206924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3250000
5-th percentile3270000
Q13307500
median3330000
Q33360000
95-th percentile3400000
Maximum3400000
Range150000
Interquartile range (IQR)52500

Descriptive statistics

Standard deviation38408.033
Coefficient of variation (CV)0.011523228
Kurtosis-0.71521245
Mean3333096.6
Median Absolute Deviation (MAD)30000
Skewness0.01815663
Sum2.3465 × 109
Variance1.475177 × 109
MonotonicityNot monotonic
2024-04-21T16:25:08.593480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3320000 97
13.8%
3340000 74
10.5%
3330000 66
9.4%
3290000 63
8.9%
3350000 54
7.7%
3390000 53
7.5%
3300000 45
 
6.4%
3400000 44
 
6.2%
3310000 41
 
5.8%
3380000 36
 
5.1%
Other values (6) 131
18.6%
ValueCountFrequency (%)
3250000 16
 
2.3%
3260000 12
 
1.7%
3270000 11
 
1.6%
3280000 29
 
4.1%
3290000 63
8.9%
3300000 45
6.4%
3310000 41
5.8%
3320000 97
13.8%
3330000 66
9.4%
3340000 74
10.5%
ValueCountFrequency (%)
3400000 44
6.2%
3390000 53
7.5%
3380000 36
 
5.1%
3370000 30
 
4.3%
3360000 33
 
4.7%
3350000 54
7.7%
3340000 74
10.5%
3330000 66
9.4%
3320000 97
13.8%
3310000 41
5.8%

관리번호
Text

UNIQUE 

Distinct704
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
2024-04-21T16:25:09.361145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters15488
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

Unique704 ?
Unique (%)100.0%

Sample

1st row3400000-114-2011-00002
2nd row3400000-114-2008-00001
3rd row3400000-114-1999-00233
4th row3400000-114-1998-00177
5th row3400000-114-2007-00002
ValueCountFrequency (%)
3400000-114-2011-00002 1
 
0.1%
3400000-114-2008-00001 1
 
0.1%
3350000-114-1996-00433 1
 
0.1%
3350000-114-2016-00004 1
 
0.1%
3350000-114-2016-00001 1
 
0.1%
3350000-114-2015-00002 1
 
0.1%
3350000-114-2015-00001 1
 
0.1%
3350000-114-2012-00006 1
 
0.1%
3350000-114-2018-00001 1
 
0.1%
3350000-114-2017-00002 1
 
0.1%
Other values (694) 694
98.6%
2024-04-21T16:25:10.340772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6057
39.1%
1 2289
 
14.8%
- 2112
 
13.6%
3 1539
 
9.9%
2 1016
 
6.6%
4 986
 
6.4%
9 605
 
3.9%
6 287
 
1.9%
5 229
 
1.5%
7 189
 
1.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 13376
86.4%
Dash Punctuation 2112
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6057
45.3%
1 2289
 
17.1%
3 1539
 
11.5%
2 1016
 
7.6%
4 986
 
7.4%
9 605
 
4.5%
6 287
 
2.1%
5 229
 
1.7%
7 189
 
1.4%
8 179
 
1.3%
Dash Punctuation
ValueCountFrequency (%)
- 2112
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 15488
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6057
39.1%
1 2289
 
14.8%
- 2112
 
13.6%
3 1539
 
9.9%
2 1016
 
6.6%
4 986
 
6.4%
9 605
 
3.9%
6 287
 
1.9%
5 229
 
1.5%
7 189
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15488
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6057
39.1%
1 2289
 
14.8%
- 2112
 
13.6%
3 1539
 
9.9%
2 1016
 
6.6%
4 986
 
6.4%
9 605
 
3.9%
6 287
 
1.9%
5 229
 
1.5%
7 189
 
1.2%

인허가일자
Real number (ℝ)

Distinct628
Distinct (%)89.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20068738
Minimum19850909
Maximum20210713
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2024-04-21T16:25:10.699453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19850909
5-th percentile19960617
Q119990296
median20070920
Q320140749
95-th percentile20200529
Maximum20210713
Range359804
Interquartile range (IQR)150452.5

Descriptive statistics

Standard deviation83346.351
Coefficient of variation (CV)0.0041530441
Kurtosis-1.2680907
Mean20068738
Median Absolute Deviation (MAD)79198.5
Skewness0.030334165
Sum1.4128391 × 1010
Variance6.9466142 × 109
MonotonicityNot monotonic
2024-04-21T16:25:11.072172image/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%
19960923 3
 
0.4%
19960722 3
 
0.4%
19960625 3
 
0.4%
19990622 3
 
0.4%
20000124 3
 
0.4%
19960617 3
 
0.4%
20020321 2
 
0.3%
Other values (618) 670
95.2%
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 (%)
20210713 1
0.1%
20210609 1
0.1%
20210531 2
0.3%
20210507 1
0.1%
20210405 1
0.1%
20210329 1
0.1%
20210311 1
0.1%
20210305 1
0.1%
20210226 1
0.1%
20210219 1
0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing704
Missing (%)100.0%
Memory size6.3 KiB

영업상태구분코드
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
1
362 
3
342 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 362
51.4%
3 342
48.6%

Length

2024-04-21T16:25:11.490985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:25:11.811193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 362
51.4%
3 342
48.6%

영업상태명
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
영업/정상
362 
폐업
342 

Length

Max length5
Median length5
Mean length3.5426136
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 362
51.4%
폐업 342
48.6%

Length

2024-04-21T16:25:12.167534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:25:12.499585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 362
51.4%
폐업 342
48.6%

상세영업상태코드
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
1
362 
2
342 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
1 362
51.4%
2 342
48.6%

Length

2024-04-21T16:25:12.855541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:25:13.177132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 362
51.4%
2 342
48.6%

상세영업상태명
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
영업
362 
폐업
342 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업 362
51.4%
폐업 342
48.6%

Length

2024-04-21T16:25:13.518162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:25:13.836175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 362
51.4%
폐업 342
48.6%

폐업일자
Real number (ℝ)

MISSING 

Distinct288
Distinct (%)84.2%
Missing362
Missing (%)51.4%
Infinite0
Infinite (%)0.0%
Mean20100312
Minimum19941010
Maximum20210601
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2024-04-21T16:25:14.198941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19941010
5-th percentile19991565
Q120050912
median20095660
Q320167888
95-th percentile20201112
Maximum20210601
Range269591
Interquartile range (IQR)116976

Descriptive statistics

Standard deviation71300.457
Coefficient of variation (CV)0.0035472313
Kurtosis-1.2379543
Mean20100312
Median Absolute Deviation (MAD)64492
Skewness0.0091987485
Sum6.8743068 × 109
Variance5.0837552 × 109
MonotonicityNot monotonic
2024-04-21T16:25:14.656785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20051128 37
 
5.3%
20100607 5
 
0.7%
20050614 4
 
0.6%
20151202 2
 
0.3%
20190201 2
 
0.3%
20000609 2
 
0.3%
20100310 2
 
0.3%
20140102 2
 
0.3%
20120221 2
 
0.3%
20140120 2
 
0.3%
Other values (278) 282
40.1%
(Missing) 362
51.4%
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 (%)
20210601 1
0.1%
20210527 1
0.1%
20210507 1
0.1%
20210504 1
0.1%
20210310 1
0.1%
20210303 2
0.3%
20210222 1
0.1%
20210203 1
0.1%
20210128 1
0.1%
20210127 1
0.1%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing704
Missing (%)100.0%
Memory size6.3 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing704
Missing (%)100.0%
Memory size6.3 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing704
Missing (%)100.0%
Memory size6.3 KiB

소재지전화
Text

MISSING 

Distinct561
Distinct (%)89.3%
Missing76
Missing (%)10.8%
Memory size5.6 KiB
2024-04-21T16:25:15.782868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.667197
Min length1

Characters and Unicode

Total characters6699
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

Unique544 ?
Unique (%)86.6%

Sample

1st row051 529 5700
2nd row0517279910
3rd row051 7242949
4th row051 7227585
5th row051 722 4475
ValueCountFrequency (%)
051 569
39.4%
727 8
 
0.6%
724 6
 
0.4%
343 5
 
0.3%
728 5
 
0.3%
755 4
 
0.3%
782 4
 
0.3%
703 4
 
0.3%
759 4
 
0.3%
897 4
 
0.3%
Other values (706) 830
57.5%
2024-04-21T16:25:17.298131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1213
18.1%
5 1050
15.7%
1 1004
15.0%
827
12.3%
2 510
7.6%
3 418
 
6.2%
8 375
 
5.6%
7 363
 
5.4%
4 340
 
5.1%
6 332
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5872
87.7%
Space Separator 827
 
12.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1213
20.7%
5 1050
17.9%
1 1004
17.1%
2 510
8.7%
3 418
 
7.1%
8 375
 
6.4%
7 363
 
6.2%
4 340
 
5.8%
6 332
 
5.7%
9 267
 
4.5%
Space Separator
ValueCountFrequency (%)
827
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6699
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1213
18.1%
5 1050
15.7%
1 1004
15.0%
827
12.3%
2 510
7.6%
3 418
 
6.2%
8 375
 
5.6%
7 363
 
5.4%
4 340
 
5.1%
6 332
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6699
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1213
18.1%
5 1050
15.7%
1 1004
15.0%
827
12.3%
2 510
7.6%
3 418
 
6.2%
8 375
 
5.6%
7 363
 
5.4%
4 340
 
5.1%
6 332
 
5.0%

소재지면적
Text

MISSING 

Distinct545
Distinct (%)92.1%
Missing112
Missing (%)15.9%
Memory size5.6 KiB
2024-04-21T16:25:18.462270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length6
Mean length6.2314189
Min length3

Characters and Unicode

Total characters3689
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

Unique514 ?
Unique (%)86.8%

Sample

1st row546.94
2nd row348.25
3rd row1,336.00
4th row316.25
5th row1,821.83
ValueCountFrequency (%)
00 17
 
2.9%
396.00 3
 
0.5%
660.00 2
 
0.3%
570.00 2
 
0.3%
390.00 2
 
0.3%
580.80 2
 
0.3%
495.00 2
 
0.3%
476.84 2
 
0.3%
304.50 2
 
0.3%
419.64 2
 
0.3%
Other values (535) 556
93.9%
2024-04-21T16:25:19.873835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 621
16.8%
. 592
16.0%
3 310
8.4%
5 296
8.0%
6 275
7.5%
4 275
7.5%
7 256
6.9%
2 250
6.8%
9 247
 
6.7%
1 240
 
6.5%
Other values (2) 327
8.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2995
81.2%
Other Punctuation 694
 
18.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 621
20.7%
3 310
10.4%
5 296
9.9%
6 275
9.2%
4 275
9.2%
7 256
8.5%
2 250
8.3%
9 247
 
8.2%
1 240
 
8.0%
8 225
 
7.5%
Other Punctuation
ValueCountFrequency (%)
. 592
85.3%
, 102
 
14.7%

Most occurring scripts

ValueCountFrequency (%)
Common 3689
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 621
16.8%
. 592
16.0%
3 310
8.4%
5 296
8.0%
6 275
7.5%
4 275
7.5%
7 256
6.9%
2 250
6.8%
9 247
 
6.7%
1 240
 
6.5%
Other values (2) 327
8.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3689
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 621
16.8%
. 592
16.0%
3 310
8.4%
5 296
8.0%
6 275
7.5%
4 275
7.5%
7 256
6.9%
2 250
6.8%
9 247
 
6.7%
1 240
 
6.5%
Other values (2) 327
8.9%

소재지우편번호
Real number (ℝ)

MISSING 

Distinct343
Distinct (%)49.5%
Missing11
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean611975.08
Minimum600016
Maximum619953
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2024-04-21T16:25:20.220403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum600016
5-th percentile602808
Q1607831
median612825
Q3616816
95-th percentile618814.8
Maximum619953
Range19937
Interquartile range (IQR)8985

Descriptive statistics

Standard deviation5226.5142
Coefficient of variation (CV)0.0085404036
Kurtosis-0.89015023
Mean611975.08
Median Absolute Deviation (MAD)4005
Skewness-0.37576147
Sum4.2409873 × 108
Variance27316450
MonotonicityNot monotonic
2024-04-21T16:25:20.692049image/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%
616829 7
 
1.0%
617808 7
 
1.0%
616807 7
 
1.0%
604813 6
 
0.9%
616827 6
 
0.9%
612824 6
 
0.9%
604851 6
 
0.9%
Other values (333) 623
88.5%
(Missing) 11
 
1.6%
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 3
0.4%
619911 1
 
0.1%
619906 3
0.4%
619905 3
0.4%
619903 6
0.9%
619902 4
0.6%
619901 4
0.6%

소재지전체주소
Text

Distinct513
Distinct (%)72.9%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
2024-04-21T16:25:21.812255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length45
Mean length23.764205
Min length14

Characters and Unicode

Total characters16730
Distinct characters247
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique425 ?
Unique (%)60.4%

Sample

1st row부산광역시 기장군 기장읍 내리 ***-*번지
2nd row부산광역시 기장군 장안읍 길천리 ***-*번지
3rd row부산광역시 기장군 일광면 삼성리 **-*번지
4th row부산광역시 기장군 기장읍 대라리 **-*번지
5th row부산광역시 기장군 기장읍 동부리 ***
ValueCountFrequency (%)
부산광역시 704
21.7%
번지 577
17.8%
147
 
4.5%
북구 97
 
3.0%
사하구 74
 
2.3%
해운대구 66
 
2.0%
부산진구 63
 
1.9%
금정구 54
 
1.7%
사상구 53
 
1.6%
동래구 45
 
1.4%
Other values (296) 1361
42.0%
2024-04-21T16:25:23.162217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 3327
19.9%
2538
15.2%
부 825
 
4.9%
산 814
 
4.9%
동 778
 
4.7%
광 727
 
4.3%
시 721
 
4.3%
지 705
 
4.2%
구 705
 
4.2%
역 705
 
4.2%
Other values (237) 4885
29.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10164
60.8%
Other Punctuation 3369
 
20.1%
Space Separator 2538
 
15.2%
Dash Punctuation 569
 
3.4%
Uppercase Letter 39
 
0.2%
Open Punctuation 23
 
0.1%
Close Punctuation 23
 
0.1%
Math Symbol 4
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 825
 
8.1%
산 814
 
8.0%
동 778
 
7.7%
광 727
 
7.2%
시 721
 
7.1%
지 705
 
6.9%
구 705
 
6.9%
역 705
 
6.9%
번 578
 
5.7%
사 143
 
1.4%
Other values (219) 3463
34.1%
Uppercase Letter
ValueCountFrequency (%)
B 18
46.2%
T 7
 
17.9%
A 3
 
7.7%
G 3
 
7.7%
L 2
 
5.1%
H 2
 
5.1%
K 2
 
5.1%
S 1
 
2.6%
C 1
 
2.6%
Other Punctuation
ValueCountFrequency (%)
* 3327
98.8%
, 38
 
1.1%
@ 4
 
0.1%
Space Separator
ValueCountFrequency (%)
2538
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 569
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10164
60.8%
Common 6526
39.0%
Latin 40
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 825
 
8.1%
산 814
 
8.0%
동 778
 
7.7%
광 727
 
7.2%
시 721
 
7.1%
지 705
 
6.9%
구 705
 
6.9%
역 705
 
6.9%
번 578
 
5.7%
사 143
 
1.4%
Other values (219) 3463
34.1%
Latin
ValueCountFrequency (%)
B 18
45.0%
T 7
 
17.5%
A 3
 
7.5%
G 3
 
7.5%
L 2
 
5.0%
H 2
 
5.0%
K 2
 
5.0%
e 1
 
2.5%
S 1
 
2.5%
C 1
 
2.5%
Common
ValueCountFrequency (%)
* 3327
51.0%
2538
38.9%
- 569
 
8.7%
, 38
 
0.6%
( 23
 
0.4%
) 23
 
0.4%
@ 4
 
0.1%
~ 4
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10164
60.8%
ASCII 6566
39.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 3327
50.7%
2538
38.7%
- 569
 
8.7%
, 38
 
0.6%
( 23
 
0.4%
) 23
 
0.4%
B 18
 
0.3%
T 7
 
0.1%
@ 4
 
0.1%
~ 4
 
0.1%
Other values (8) 15
 
0.2%
Hangul
ValueCountFrequency (%)
부 825
 
8.1%
산 814
 
8.0%
동 778
 
7.7%
광 727
 
7.2%
시 721
 
7.1%
지 705
 
6.9%
구 705
 
6.9%
역 705
 
6.9%
번 578
 
5.7%
사 143
 
1.4%
Other values (219) 3463
34.1%

도로명전체주소
Text

MISSING 

Distinct463
Distinct (%)92.8%
Missing205
Missing (%)29.1%
Memory size5.6 KiB
2024-04-21T16:25:24.121343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length52
Mean length30.350701
Min length20

Characters and Unicode

Total characters15145
Distinct characters293
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique431 ?
Unique (%)86.4%

Sample

1st row부산광역시 기장군 기장읍 기장대로 **, *층
2nd row부산광역시 기장군 장안읍 해맞이로 ***
3rd row부산광역시 기장군 기장읍 차성로 ***
4th row부산광역시 기장군 기장읍 차성동로 **
5th row부산광역시 기장군 기장읍 차성로 ***
ValueCountFrequency (%)
506
 
17.1%
부산광역시 499
 
16.8%
층 119
 
4.0%
사하구 55
 
1.9%
해운대구 55
 
1.9%
호 48
 
1.6%
부산진구 47
 
1.6%
금정구 41
 
1.4%
지하*층 40
 
1.3%
사상구 39
 
1.3%
Other values (551) 1516
51.1%
2024-04-21T16:25:25.408750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2471
16.3%
* 2245
 
14.8%
동 632
 
4.2%
부 607
 
4.0%
산 603
 
4.0%
시 536
 
3.5%
광 531
 
3.5%
역 499
 
3.3%
구 497
 
3.3%
로 493
 
3.3%
Other values (283) 6031
39.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8998
59.4%
Other Punctuation 2614
 
17.3%
Space Separator 2471
 
16.3%
Open Punctuation 480
 
3.2%
Close Punctuation 480
 
3.2%
Uppercase Letter 41
 
0.3%
Dash Punctuation 39
 
0.3%
Math Symbol 20
 
0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 632
 
7.0%
부 607
 
6.7%
산 603
 
6.7%
시 536
 
6.0%
광 531
 
5.9%
역 499
 
5.5%
구 497
 
5.5%
로 493
 
5.5%
대 232
 
2.6%
층 206
 
2.3%
Other values (262) 4162
46.3%
Uppercase Letter
ValueCountFrequency (%)
B 20
48.8%
A 6
 
14.6%
C 4
 
9.8%
G 2
 
4.9%
H 2
 
4.9%
K 2
 
4.9%
S 1
 
2.4%
L 1
 
2.4%
T 1
 
2.4%
P 1
 
2.4%
Other Punctuation
ValueCountFrequency (%)
* 2245
85.9%
, 367
 
14.0%
@ 2
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
e 1
50.0%
b 1
50.0%
Space Separator
ValueCountFrequency (%)
2471
100.0%
Open Punctuation
ValueCountFrequency (%)
( 480
100.0%
Close Punctuation
ValueCountFrequency (%)
) 480
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 39
100.0%
Math Symbol
ValueCountFrequency (%)
~ 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8998
59.4%
Common 6104
40.3%
Latin 43
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 632
 
7.0%
부 607
 
6.7%
산 603
 
6.7%
시 536
 
6.0%
광 531
 
5.9%
역 499
 
5.5%
구 497
 
5.5%
로 493
 
5.5%
대 232
 
2.6%
층 206
 
2.3%
Other values (262) 4162
46.3%
Latin
ValueCountFrequency (%)
B 20
46.5%
A 6
 
14.0%
C 4
 
9.3%
G 2
 
4.7%
H 2
 
4.7%
K 2
 
4.7%
S 1
 
2.3%
L 1
 
2.3%
e 1
 
2.3%
T 1
 
2.3%
Other values (3) 3
 
7.0%
Common
ValueCountFrequency (%)
2471
40.5%
* 2245
36.8%
( 480
 
7.9%
) 480
 
7.9%
, 367
 
6.0%
- 39
 
0.6%
~ 20
 
0.3%
@ 2
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8998
59.4%
ASCII 6147
40.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2471
40.2%
* 2245
36.5%
( 480
 
7.8%
) 480
 
7.8%
, 367
 
6.0%
- 39
 
0.6%
B 20
 
0.3%
~ 20
 
0.3%
A 6
 
0.1%
C 4
 
0.1%
Other values (11) 15
 
0.2%
Hangul
ValueCountFrequency (%)
동 632
 
7.0%
부 607
 
6.7%
산 603
 
6.7%
시 536
 
6.0%
광 531
 
5.9%
역 499
 
5.5%
구 497
 
5.5%
로 493
 
5.5%
대 232
 
2.6%
층 206
 
2.3%
Other values (262) 4162
46.3%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct366
Distinct (%)75.3%
Missing218
Missing (%)31.0%
Infinite0
Infinite (%)0.0%
Mean47686.842
Minimum46008
Maximum49520
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2024-04-21T16:25:25.959258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46008
5-th percentile46069.25
Q146759
median47712
Q348496.5
95-th percentile49387.75
Maximum49520
Range3512
Interquartile range (IQR)1737.5

Descriptive statistics

Standard deviation1061.5232
Coefficient of variation (CV)0.022260296
Kurtosis-1.1515062
Mean47686.842
Median Absolute Deviation (MAD)831
Skewness0.13116565
Sum23175805
Variance1126831.5
MonotonicityNot monotonic
2024-04-21T16:25:26.260431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
46726 7
 
1.0%
46230 5
 
0.7%
46759 5
 
0.7%
49108 4
 
0.6%
49494 4
 
0.6%
46762 4
 
0.6%
47369 4
 
0.6%
47038 3
 
0.4%
48053 3
 
0.4%
49010 3
 
0.4%
Other values (356) 444
63.1%
(Missing) 218
31.0%
ValueCountFrequency (%)
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%
46036 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%

사업장명
Text

Distinct607
Distinct (%)86.2%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
2024-04-21T16:25:27.030979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length20
Mean length8.2329545
Min length2

Characters and Unicode

Total characters5796
Distinct characters325
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

Unique562 ?
Unique (%)79.8%

Sample

1st row농축산마트
2nd row동양마트
3rd row(주)홈마트
4th row빅세일기장점
5th row엄마야마트가자
ValueCountFrequency (%)
탑마트 18
 
2.0%
주)서원유통 18
 
2.0%
탑플러스마트 13
 
1.4%
롯데쇼핑(주)롯데슈퍼 12
 
1.3%
빅세일마트 11
 
1.2%
탑세일마트 10
 
1.1%
더마트 9
 
1.0%
농축산마트 8
 
0.9%
주)지에스리테일 8
 
0.9%
홈플러스(주 7
 
0.8%
Other values (649) 786
87.3%
2024-04-21T16:25:28.054454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
마 466
 
8.0%
트 456
 
7.9%
) 274
 
4.7%
점 271
 
4.7%
( 270
 
4.7%
주 250
 
4.3%
196
 
3.4%
스 159
 
2.7%
산 91
 
1.6%
탑 89
 
1.5%
Other values (315) 3274
56.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4961
85.6%
Close Punctuation 274
 
4.7%
Open Punctuation 270
 
4.7%
Space Separator 196
 
3.4%
Uppercase Letter 67
 
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 (%)
마 466
 
9.4%
트 456
 
9.2%
점 271
 
5.5%
주 250
 
5.0%
스 159
 
3.2%
산 91
 
1.8%
탑 89
 
1.8%
데 74
 
1.5%
리 70
 
1.4%
지 69
 
1.4%
Other values (280) 2966
59.8%
Uppercase Letter
ValueCountFrequency (%)
S 15
22.4%
G 10
14.9%
C 8
11.9%
K 5
 
7.5%
M 5
 
7.5%
J 4
 
6.0%
L 3
 
4.5%
H 3
 
4.5%
F 2
 
3.0%
T 2
 
3.0%
Other values (7) 10
14.9%
Decimal Number
ValueCountFrequency (%)
2 9
50.0%
1 3
 
16.7%
3 2
 
11.1%
5 1
 
5.6%
6 1
 
5.6%
4 1
 
5.6%
7 1
 
5.6%
Other Punctuation
ValueCountFrequency (%)
. 2
50.0%
& 1
25.0%
, 1
25.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
33.3%
n 1
33.3%
o 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 274
100.0%
Open Punctuation
ValueCountFrequency (%)
( 270
100.0%
Space Separator
ValueCountFrequency (%)
196
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4961
85.6%
Common 765
 
13.2%
Latin 70
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
마 466
 
9.4%
트 456
 
9.2%
점 271
 
5.5%
주 250
 
5.0%
스 159
 
3.2%
산 91
 
1.8%
탑 89
 
1.8%
데 74
 
1.5%
리 70
 
1.4%
지 69
 
1.4%
Other values (280) 2966
59.8%
Latin
ValueCountFrequency (%)
S 15
21.4%
G 10
14.3%
C 8
11.4%
K 5
 
7.1%
M 5
 
7.1%
J 4
 
5.7%
L 3
 
4.3%
H 3
 
4.3%
F 2
 
2.9%
T 2
 
2.9%
Other values (10) 13
18.6%
Common
ValueCountFrequency (%)
) 274
35.8%
( 270
35.3%
196
25.6%
2 9
 
1.2%
1 3
 
0.4%
3 2
 
0.3%
. 2
 
0.3%
- 2
 
0.3%
5 1
 
0.1%
6 1
 
0.1%
Other values (5) 5
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4961
85.6%
ASCII 835
 
14.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
마 466
 
9.4%
트 456
 
9.2%
점 271
 
5.5%
주 250
 
5.0%
스 159
 
3.2%
산 91
 
1.8%
탑 89
 
1.8%
데 74
 
1.5%
리 70
 
1.4%
지 69
 
1.4%
Other values (280) 2966
59.8%
ASCII
ValueCountFrequency (%)
) 274
32.8%
( 270
32.3%
196
23.5%
S 15
 
1.8%
G 10
 
1.2%
2 9
 
1.1%
C 8
 
1.0%
K 5
 
0.6%
M 5
 
0.6%
J 4
 
0.5%
Other values (25) 39
 
4.7%

최종수정시점
Real number (ℝ)

Distinct621
Distinct (%)88.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0136601 × 1013
Minimum1.9990607 × 1013
Maximum2.0210729 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2024-04-21T16:25:28.294881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.9990607 × 1013
5-th percentile2.0010728 × 1013
Q12.0080514 × 1013
median2.0160473 × 1013
Q32.0191228 × 1013
95-th percentile2.0210429 × 1013
Maximum2.0210729 × 1013
Range2.2012213 × 1011
Interquartile range (IQR)1.1071404 × 1011

Descriptive statistics

Standard deviation6.9579376 × 1010
Coefficient of variation (CV)0.0034553685
Kurtosis-0.96846183
Mean2.0136601 × 1013
Median Absolute Deviation (MAD)4.0230514 × 1010
Skewness-0.73498649
Sum1.4176167 × 1016
Variance4.8412895 × 1021
MonotonicityNot monotonic
2024-04-21T16:25:28.574253image/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
 
0.9%
20020731000000 6
 
0.9%
20040618000000 5
 
0.7%
20020227000000 4
 
0.6%
20020608000000 3
 
0.4%
Other values (611) 619
87.9%
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 (%)
20210729132500 1
0.1%
20210706152930 1
0.1%
20210628104900 1
0.1%
20210624205353 1
0.1%
20210621144128 1
0.1%
20210619134305 1
0.1%
20210609132514 1
0.1%
20210609120058 1
0.1%
20210607154434 1
0.1%
20210604153729 1
0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
I
473 
U
231 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 473
67.2%
U 231
32.8%

Length

2024-04-21T16:25:28.829484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:25:29.007375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 473
67.2%
u 231
32.8%

데이터갱신일자
Date

Distinct202
Distinct (%)28.7%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
Minimum2018-08-31 23:59:59
Maximum2021-07-31 02:40:00
2024-04-21T16:25:29.222482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T16:25:29.475566image/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 size5.6 KiB
기타식품판매업
695 
식품조사처리업
 
8
<NA>
 
1

Length

Max length7
Median length7
Mean length6.9957386
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
기타식품판매업 695
98.7%
식품조사처리업 8
 
1.1%
<NA> 1
 
0.1%

Length

2024-04-21T16:25:29.731779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:25:29.974328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타식품판매업 695
98.7%
식품조사처리업 8
 
1.1%
na 1
 
0.1%

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct546
Distinct (%)80.6%
Missing27
Missing (%)3.8%
Infinite0
Infinite (%)0.0%
Mean387526.35
Minimum366779.27
Maximum409357.26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2024-04-21T16:25:30.367728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum366779.27
5-th percentile378633.93
Q1382703.07
median387852.21
Q3391601.56
95-th percentile399352.12
Maximum409357.26
Range42577.984
Interquartile range (IQR)8898.4889

Descriptive statistics

Standard deviation6845.1137
Coefficient of variation (CV)0.017663609
Kurtosis0.42586461
Mean387526.35
Median Absolute Deviation (MAD)4524.2798
Skewness0.14047843
Sum2.6235534 × 108
Variance46855582
MonotonicityNot monotonic
2024-04-21T16:25:30.830705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
387887.847333871 3
 
0.4%
390241.469793416 3
 
0.4%
396492.414590809 3
 
0.4%
393767.387550068 3
 
0.4%
392819.056323176 3
 
0.4%
392378.665367078 3
 
0.4%
385248.617963518 3
 
0.4%
383653.280812518 3
 
0.4%
381186.646505489 3
 
0.4%
385770.215097102 3
 
0.4%
Other values (536) 647
91.9%
(Missing) 27
 
3.8%
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 

Distinct546
Distinct (%)80.6%
Missing27
Missing (%)3.8%
Infinite0
Infinite (%)0.0%
Mean187541.65
Minimum174289.98
Maximum206150.93
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2024-04-21T16:25:31.234686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum174289.98
5-th percentile177653.44
Q1182894.94
median187669.4
Q3191803.61
95-th percentile197817.14
Maximum206150.93
Range31860.948
Interquartile range (IQR)8908.6775

Descriptive statistics

Standard deviation6500.9744
Coefficient of variation (CV)0.034664163
Kurtosis-0.048055341
Mean187541.65
Median Absolute Deviation (MAD)4223.2242
Skewness0.27607838
Sum1.269657 × 108
Variance42262668
MonotonicityNot monotonic
2024-04-21T16:25:31.656244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
187966.542955171 3
 
0.4%
197865.684207345 3
 
0.4%
187577.195994037 3
 
0.4%
190085.274360331 3
 
0.4%
187998.552610803 3
 
0.4%
184491.727482399 3
 
0.4%
192002.846191644 3
 
0.4%
197805.007825397 3
 
0.4%
190340.141159379 3
 
0.4%
192276.385535768 3
 
0.4%
Other values (536) 647
91.9%
(Missing) 27
 
3.8%
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%
205187.183814795 2
0.3%
204903.216935529 1
0.1%
204878.045544401 1
0.1%

위생업태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
기타식품판매업
695 
식품조사처리업
 
8
<NA>
 
1

Length

Max length7
Median length7
Mean length6.9957386
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
기타식품판매업 695
98.7%
식품조사처리업 8
 
1.1%
<NA> 1
 
0.1%

Length

2024-04-21T16:25:32.099623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:25:32.390798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타식품판매업 695
98.7%
식품조사처리업 8
 
1.1%
na 1
 
0.1%

남성종사자수
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
<NA>
622 
0
81 
1
 
1

Length

Max length4
Median length4
Mean length3.6505682
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 622
88.4%
0 81
 
11.5%
1 1
 
0.1%

Length

2024-04-21T16:25:32.645243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:25:32.983623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 622
88.4%
0 81
 
11.5%
1 1
 
0.1%

여성종사자수
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
<NA>
623 
0
81 

Length

Max length4
Median length4
Mean length3.6548295
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> 623
88.5%
0 81
 
11.5%

Length

2024-04-21T16:25:33.355125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:25:33.691503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 623
88.5%
0 81
 
11.5%

영업장주변구분명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
<NA>
505 
기타
188 
주택가주변
 
7
아파트지역
 
3
학교정화(절대)
 
1

Length

Max length8
Median length4
Mean length3.4857955
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 505
71.7%
기타 188
 
26.7%
주택가주변 7
 
1.0%
아파트지역 3
 
0.4%
학교정화(절대) 1
 
0.1%

Length

2024-04-21T16:25:34.059739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:25:34.406416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 505
71.7%
기타 188
 
26.7%
주택가주변 7
 
1.0%
아파트지역 3
 
0.4%
학교정화(절대 1
 
0.1%

등급구분명
Categorical

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
<NA>
505 
기타
189 
자율
 
10

Length

Max length4
Median length4
Mean length3.4346591
Min length2

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> 505
71.7%
기타 189
 
26.8%
자율 10
 
1.4%

Length

2024-04-21T16:25:34.817031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:25:35.167295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 505
71.7%
기타 189
 
26.8%
자율 10
 
1.4%

급수시설구분명
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
<NA>
604 
상수도전용
100 

Length

Max length5
Median length4
Mean length4.1420455
Min length4

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> 604
85.8%
상수도전용 100
 
14.2%

Length

2024-04-21T16:25:35.552380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:25:35.886945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 604
85.8%
상수도전용 100
 
14.2%

총종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
<NA>
702 
0
 
2

Length

Max length4
Median length4
Mean length3.9914773
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> 702
99.7%
0 2
 
0.3%

Length

2024-04-21T16:25:36.273914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:25:36.621662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 702
99.7%
0 2
 
0.3%

본사종업원수
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
0
424 
<NA>
280 

Length

Max length4
Median length1
Mean length2.1931818
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 424
60.2%
<NA> 280
39.8%

Length

2024-04-21T16:25:36.982586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:25:37.309113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 424
60.2%
na 280
39.8%

공장사무직종업원수
Categorical

Distinct4
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
0
421 
<NA>
280 
1
 
2
2
 
1

Length

Max length4
Median length1
Mean length2.1931818
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 421
59.8%
<NA> 280
39.8%
1 2
 
0.3%
2 1
 
0.1%

Length

2024-04-21T16:25:37.665868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:25:38.008996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 421
59.8%
na 280
39.8%
1 2
 
0.3%
2 1
 
0.1%

공장판매직종업원수
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
0
419 
<NA>
280 
6
 
2
15
 
1
5
 
1

Length

Max length4
Median length1
Mean length2.1960227
Min length1

Unique

Unique3 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
0 419
59.5%
<NA> 280
39.8%
6 2
 
0.3%
15 1
 
0.1%
5 1
 
0.1%
75 1
 
0.1%

Length

2024-04-21T16:25:38.396919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:25:38.978825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 419
59.5%
na 280
39.8%
6 2
 
0.3%
15 1
 
0.1%
5 1
 
0.1%
75 1
 
0.1%

공장생산직종업원수
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
0
424 
<NA>
280 

Length

Max length4
Median length1
Mean length2.1931818
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 424
60.2%
<NA> 280
39.8%

Length

2024-04-21T16:25:39.380071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:25:39.716223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 424
60.2%
na 280
39.8%

건물소유구분명
Categorical

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
<NA>
527 
자가
121 
임대
56 

Length

Max length4
Median length4
Mean length3.4971591
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 527
74.9%
자가 121
 
17.2%
임대 56
 
8.0%

Length

2024-04-21T16:25:40.099719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:25:40.454884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 527
74.9%
자가 121
 
17.2%
임대 56
 
8.0%

보증액
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
<NA>
677 
0
 
27

Length

Max length4
Median length4
Mean length3.8849432
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> 677
96.2%
0 27
 
3.8%

Length

2024-04-21T16:25:40.839437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:25:41.184249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 677
96.2%
0 27
 
3.8%

월세액
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
<NA>
678 
0
 
26

Length

Max length4
Median length4
Mean length3.8892045
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> 678
96.3%
0 26
 
3.7%

Length

2024-04-21T16:25:41.544448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:25:41.884749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 678
96.3%
0 26
 
3.7%

다중이용업소여부
Boolean

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size832.0 B
False
704 
ValueCountFrequency (%)
False 704
100.0%
2024-04-21T16:25:42.159314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

ZEROS 

Distinct116
Distinct (%)16.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean80.642713
Minimum0
Maximum9790.33
Zeros584
Zeros (%)83.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2024-04-21T16:25:42.499599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile552.8865
Maximum9790.33
Range9790.33
Interquartile range (IQR)0

Descriptive statistics

Standard deviation462.02565
Coefficient of variation (CV)5.729292
Kurtosis286.49657
Mean80.642713
Median Absolute Deviation (MAD)0
Skewness14.831847
Sum56772.47
Variance213467.7
MonotonicityNot monotonic
2024-04-21T16:25:42.953183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 584
83.0%
6.46 3
 
0.4%
16.8 2
 
0.3%
495.0 2
 
0.3%
682.72 2
 
0.3%
5.8 1
 
0.1%
16.81 1
 
0.1%
38.02 1
 
0.1%
21.6 1
 
0.1%
35.2 1
 
0.1%
Other values (106) 106
 
15.1%
ValueCountFrequency (%)
0.0 584
83.0%
2.81 1
 
0.1%
3.36 1
 
0.1%
4.0 1
 
0.1%
4.4 1
 
0.1%
4.94 1
 
0.1%
5.5 1
 
0.1%
5.6 1
 
0.1%
5.8 1
 
0.1%
6.0 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%
1720.62 1
0.1%
1425.2 1
0.1%
1422.83 1
0.1%
1096.0 1
0.1%
981.54 1
0.1%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing704
Missing (%)100.0%
Memory size6.3 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing704
Missing (%)100.0%
Memory size6.3 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing704
Missing (%)100.0%
Memory size6.3 KiB

Unnamed: 47
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing704
Missing (%)100.0%
Memory size6.3 KiB

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총종업원수본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지Unnamed: 47
01식품판매업(기타)07_22_13_P34000003400000-114-2011-0000220110808<NA>3폐업2폐업20180905<NA><NA><NA>051 529 5700546.94619902부산광역시 기장군 기장읍 내리 ***-*번지부산광역시 기장군 기장읍 기장대로 **, *층46076농축산마트20180905201521U2018-09-05 23:59:59.0기타식품판매업400809.773502191737.640257기타식품판매업<NA><NA><NA><NA><NA><NA>0000자가<NA><NA>N0.0<NA><NA><NA><NA>
12식품판매업(기타)07_22_13_P34000003400000-114-2008-0000120080110<NA>3폐업2폐업20130401<NA><NA><NA>0517279910348.25619952부산광역시 기장군 장안읍 길천리 ***-*번지부산광역시 기장군 장안읍 해맞이로 ***<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>
23식품판매업(기타)07_22_13_P34000003400000-114-1999-0023319990518<NA>3폐업2폐업20060306<NA><NA><NA>051 7242949<NA>619912부산광역시 기장군 일광면 삼성리 **-*번지<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>
34식품판매업(기타)07_22_13_P34000003400000-114-1998-0017719981020<NA>3폐업2폐업20060922<NA><NA><NA>051 7227585<NA>619903부산광역시 기장군 기장읍 대라리 **-*번지<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>
45식품판매업(기타)07_22_13_P34000003400000-114-2007-0000220070807<NA>3폐업2폐업20200629<NA><NA><NA>051 722 44751,336.00619905부산광역시 기장군 기장읍 동부리 ***부산광역시 기장군 기장읍 차성로 ***46061엄마야마트가자20200629160333U2020-07-01 02:40:00.0기타식품판매업401451.766564196278.102759기타식품판매업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA><NA>
56식품판매업(기타)07_22_13_P34000003400000-114-2007-0000120070207<NA>3폐업2폐업20100111<NA><NA><NA>051 7274983316.25619951부산광역시 기장군 장안읍 월내리 **-*번지<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>
67식품판매업(기타)07_22_13_P34000003400000-114-2003-0000120030801<NA>3폐업2폐업20180315<NA><NA><NA>051 724 45001,821.83619903부산광역시 기장군 기장읍 대라리 **번지부산광역시 기장군 기장읍 차성동로 **46066홈플러스 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>
78식품판매업(기타)07_22_13_P34000003400000-114-2002-0000120020928<NA>3폐업2폐업20160205<NA><NA><NA>0<NA>619901부산광역시 기장군 기장읍 교리 ***-*번지부산광역시 기장군 기장읍 차성로 ***46055우와마트20160205091400I2018-08-31 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>
89식품판매업(기타)07_22_13_P34000003400000-114-1998-0017619980117<NA>3폐업2폐업19990203<NA><NA><NA>051 7224176.00619903부산광역시 기장군 기장읍 대라리 ***-**번지<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>
910식품판매업(기타)07_22_13_P34000003400000-114-1996-0017419960819<NA>3폐업2폐업20030113<NA><NA><NA>051 7226771<NA>619905부산광역시 기장군 기장읍 동부리 ***번지<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>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총종업원수본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지Unnamed: 47
694695식품판매업(기타)07_22_13_P32600003260000-114-2019-0000120190327<NA>1영업/정상1영업<NA><NA><NA><NA>051 257 85891,131.95602838부산광역시 서구 토성동*가 **-*번지 경동 리인부산광역시 서구 보수대로 **, *층 (토성동*가, 경동 리인)49247경동빅마트20200423112743U2020-04-25 02:40:00.0기타식품판매업384479.162542179674.832922기타식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자가<NA><NA>N0.0<NA><NA><NA><NA>
695696식품판매업(기타)07_22_13_P32500003250000-114-2021-0000120210114<NA>1영업/정상1영업<NA><NA><NA><NA>051 241 4980680.00600074부산광역시 중구 부평동*가 **-*부산광역시 중구 보수대로 **, *층 (부평동*가)48973에스씨(SC)마트20210114145443I2021-01-16 00:23:15.0기타식품판매업384249.201711180080.172972기타식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자가<NA><NA>N680.0<NA><NA><NA><NA>
696697식품판매업(기타)07_22_13_P32500003250000-114-2009-0000220091218<NA>1영업/정상1영업<NA><NA><NA><NA>051 67830041,147.00600017부산광역시 중구 중앙동*가 **-*번지 외***필지 (롯데백화점 지하*층)부산광역시 중구 중앙대로 *, 지하*층 (중앙동*가, 외***필지 롯데백화점)48944롯데쇼핑주식회사20200213155607U2020-02-15 02:40:00.0기타식품판매업385590.814677179553.867032기타식품판매업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA><NA>
697698식품판매업(기타)07_22_13_P32500003250000-114-2016-0000220161118<NA>1영업/정상1영업<NA><NA><NA><NA>051 469 5770595.77600815부산광역시 중구 중앙동*가 **-**번지부산광역시 중구 중앙대로**번길 *, *층 (중앙동*가)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>
698699식품판매업(기타)07_22_13_P32500003250000-114-2016-0000120160727<NA>1영업/정상1영업<NA><NA><NA><NA>051 254 0035576.13600044부산광역시 중구 남포동*가 **-*부산광역시 중구 자갈치해안로 **, *~*층 (남포동*가)48984제1,2구 잠수기수협 바다마트20201224104416U2020-12-26 02:40:00.0기타식품판매업385191.013393179401.283402기타식품판매업<NA><NA><NA><NA><NA><NA>0000자가<NA><NA>N576.13<NA><NA><NA><NA>
699700식품판매업(기타)07_22_13_P32500003250000-114-2014-0000120140825<NA>1영업/정상1영업<NA><NA><NA><NA><NA>963.00600017부산광역시 중구 중앙동*가 **-*번지 롯데몰 마트시네마동 롯데마트광복점 지하*층부산광역시 중구 중앙대로 *, 지하*층 (중앙동*가, 롯데몰 마트시네마동 롯데마트광복점)48944롯데쇼핑(주)롯데마트광복점20170417172731I2018-08-31 23:59:59.0기타식품판매업385590.814677179553.867032기타식품판매업<NA><NA><NA><NA>상수도전용<NA>00750자가<NA><NA>N0.0<NA><NA><NA><NA>
700701식품판매업(기타)07_22_13_P32500003250000-114-2011-0000120110110<NA>1영업/정상1영업<NA><NA><NA><NA>051 2421577530.19600061부산광역시 중구 신창동*가 *-*번지 외 *필지부산광역시 중구 광복중앙로 ** (신창동*가, 외 *필지)48948가람리테일20120209093220I2018-08-31 23:59:59.0기타식품판매업385074.807762180030.905431기타식품판매업<NA><NA><NA><NA><NA><NA>0000자가<NA><NA>N0.0<NA><NA><NA><NA>
701702식품판매업(기타)07_22_13_P32500003250000-114-1996-0041619961114<NA>1영업/정상1영업<NA><NA><NA><NA>051 2454900473.37600806부산광역시 중구 부평동*가 **번지부산광역시 중구 부평*길 ** (부평동*가)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>
702703식품판매업(기타)07_22_13_P32500003250000-114-1996-0041419960906<NA>1영업/정상1영업<NA><NA><NA><NA>051 25077002,405.07600046부산광역시 중구 남포동*가 *-*부산광역시 중구 구덕로 ** (남포동*가)48982(주)농협부산경남유통 하나로클럽자갈치점20210127144302U2021-01-29 02:40:00.0기타식품판매업384820.119269179460.841059기타식품판매업00기타기타<NA><NA>0000<NA><NA><NA>N2405.07<NA><NA><NA><NA>
703704식품판매업(기타)07_22_13_P32500003250000-114-2000-0000220010809<NA>1영업/정상1영업<NA><NA><NA><NA>051 2488106565.36600046부산광역시 중구 남포동*가 *번지 신천지백화점 *층부산광역시 중구 자갈치로 **, *층 (남포동*가, 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>