Overview

Dataset statistics

Number of variables48
Number of observations10000
Missing cells187881
Missing cells (%)39.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.0 MiB
Average record size in memory422.0 B

Variable types

Numeric11
Categorical12
Text6
Unsupported17
DateTime1
Boolean1

Dataset

Description2021-05-01
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20230901050101123122

Alerts

개방서비스명 has constant value ""Constant
개방서비스id has constant value ""Constant
영업상태구분코드 has constant value ""Constant
영업상태명 has constant value ""Constant
상세영업상태코드 has constant value ""Constant
상세영업상태명 has constant value ""Constant
영업장주변구분명 is highly imbalanced (55.3%)Imbalance
등급구분명 is highly imbalanced (61.8%)Imbalance
급수시설구분명 is highly imbalanced (60.1%)Imbalance
다중이용업소여부 is highly imbalanced (57.2%)Imbalance
인허가취소일자 has 10000 (100.0%) missing valuesMissing
폐업일자 has 10000 (100.0%) missing valuesMissing
휴업시작일자 has 10000 (100.0%) missing valuesMissing
휴업종료일자 has 10000 (100.0%) missing valuesMissing
재개업일자 has 10000 (100.0%) missing valuesMissing
소재지전화 has 3542 (35.4%) missing valuesMissing
소재지면적 has 160 (1.6%) missing valuesMissing
소재지우편번호 has 224 (2.2%) missing valuesMissing
도로명우편번호 has 119 (1.2%) missing valuesMissing
남성종사자수 has 6842 (68.4%) missing valuesMissing
여성종사자수 has 6841 (68.4%) missing valuesMissing
총종업원수 has 10000 (100.0%) missing valuesMissing
본사종업원수 has 10000 (100.0%) missing valuesMissing
공장사무직종업원수 has 10000 (100.0%) missing valuesMissing
공장판매직종업원수 has 10000 (100.0%) missing valuesMissing
공장생산직종업원수 has 10000 (100.0%) missing valuesMissing
건물소유구분명 has 10000 (100.0%) missing valuesMissing
보증액 has 10000 (100.0%) missing valuesMissing
월세액 has 10000 (100.0%) missing valuesMissing
전통업소지정번호 has 10000 (100.0%) missing valuesMissing
전통업소주된음식 has 10000 (100.0%) missing valuesMissing
홈페이지 has 10000 (100.0%) missing valuesMissing
Unnamed: 47 has 10000 (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
폐업일자 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
총종업원수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
본사종업원수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공장사무직종업원수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공장판매직종업원수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공장생산직종업원수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건물소유구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
보증액 is an unsupported type, check if it needs cleaning or further analysisUnsupported
월세액 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
남성종사자수 has 2988 (29.9%) zerosZeros
여성종사자수 has 2932 (29.3%) zerosZeros
시설총규모 has 246 (2.5%) zerosZeros

Reproduction

Analysis started2024-04-20 12:30:30.258442
Analysis finished2024-04-20 12:30:34.155682
Duration3.9 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12058.273
Minimum2
Maximum24141
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-20T21:30:34.351933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile1265.8
Q16064.75
median12076.5
Q318046.25
95-th percentile22906.05
Maximum24141
Range24139
Interquartile range (IQR)11981.5

Descriptive statistics

Standard deviation6939.9855
Coefficient of variation (CV)0.57553728
Kurtosis-1.1941217
Mean12058.273
Median Absolute Deviation (MAD)5996.5
Skewness0.0064280613
Sum1.2058273 × 108
Variance48163398
MonotonicityNot monotonic
2024-04-20T21:30:34.707430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8867 1
 
< 0.1%
10395 1
 
< 0.1%
15225 1
 
< 0.1%
15151 1
 
< 0.1%
16353 1
 
< 0.1%
8083 1
 
< 0.1%
840 1
 
< 0.1%
6032 1
 
< 0.1%
4013 1
 
< 0.1%
16540 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
2 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
9 1
< 0.1%
15 1
< 0.1%
17 1
< 0.1%
18 1
< 0.1%
19 1
< 0.1%
22 1
< 0.1%
ValueCountFrequency (%)
24141 1
< 0.1%
24140 1
< 0.1%
24139 1
< 0.1%
24138 1
< 0.1%
24137 1
< 0.1%
24136 1
< 0.1%
24135 1
< 0.1%
24133 1
< 0.1%
24131 1
< 0.1%
24126 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

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

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반음식점 10000
100.0%

Length

2024-04-20T21:30:35.117718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T21:30:35.378939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반음식점 10000
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
07_24_04_P
10000 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row07_24_04_P
2nd row07_24_04_P
3rd row07_24_04_P
4th row07_24_04_P
5th row07_24_04_P

Common Values

ValueCountFrequency (%)
07_24_04_P 10000
100.0%

Length

2024-04-20T21:30:35.559136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T21:30:35.849707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
07_24_04_p 10000
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3332592
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-20T21:30:36.129908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3250000
5-th percentile3270000
Q13300000
median3330000
Q33360000
95-th percentile3400000
Maximum3400000
Range150000
Interquartile range (IQR)60000

Descriptive statistics

Standard deviation37805.35
Coefficient of variation (CV)0.011344128
Kurtosis-0.59991702
Mean3332592
Median Absolute Deviation (MAD)30000
Skewness-0.0099544406
Sum3.332592 × 1010
Variance1.4292445 × 109
MonotonicityNot monotonic
2024-04-20T21:30:36.626560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3330000 1543
15.4%
3290000 1096
11.0%
3350000 999
10.0%
3340000 997
10.0%
3310000 796
8.0%
3300000 745
7.4%
3400000 694
6.9%
3370000 651
6.5%
3320000 558
 
5.6%
3380000 543
 
5.4%
Other values (6) 1378
13.8%
ValueCountFrequency (%)
3250000 310
 
3.1%
3260000 30
 
0.3%
3270000 370
 
3.7%
3280000 24
 
0.2%
3290000 1096
11.0%
3300000 745
7.4%
3310000 796
8.0%
3320000 558
 
5.6%
3330000 1543
15.4%
3340000 997
10.0%
ValueCountFrequency (%)
3400000 694
6.9%
3390000 429
 
4.3%
3380000 543
 
5.4%
3370000 651
6.5%
3360000 215
 
2.1%
3350000 999
10.0%
3340000 997
10.0%
3330000 1543
15.4%
3320000 558
 
5.6%
3310000 796
8.0%

관리번호
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-20T21:30:37.435328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters220000
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

Unique10000 ?
Unique (%)100.0%

Sample

1st row3340000-101-2002-00228
2nd row3290000-101-1996-02699
3rd row3400000-101-2013-00016
4th row3390000-101-2005-00010
5th row3250000-101-2018-00044
ValueCountFrequency (%)
3340000-101-2002-00228 1
 
< 0.1%
3310000-101-2019-00125 1
 
< 0.1%
3320000-101-2007-00182 1
 
< 0.1%
3330000-101-2017-00228 1
 
< 0.1%
3330000-101-2007-00074 1
 
< 0.1%
3300000-101-2017-00257 1
 
< 0.1%
3310000-101-2008-00136 1
 
< 0.1%
3320000-101-2011-00136 1
 
< 0.1%
3330000-101-2017-00015 1
 
< 0.1%
3250000-101-2009-00034 1
 
< 0.1%
Other values (9990) 9990
99.9%
2024-04-20T21:30:38.653781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 87688
39.9%
1 34335
 
15.6%
- 30000
 
13.6%
3 22925
 
10.4%
2 15407
 
7.0%
9 8012
 
3.6%
4 5166
 
2.3%
5 4513
 
2.1%
7 4441
 
2.0%
8 4101
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 190000
86.4%
Dash Punctuation 30000
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 87688
46.2%
1 34335
 
18.1%
3 22925
 
12.1%
2 15407
 
8.1%
9 8012
 
4.2%
4 5166
 
2.7%
5 4513
 
2.4%
7 4441
 
2.3%
8 4101
 
2.2%
6 3412
 
1.8%
Dash Punctuation
ValueCountFrequency (%)
- 30000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 220000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 87688
39.9%
1 34335
 
15.6%
- 30000
 
13.6%
3 22925
 
10.4%
2 15407
 
7.0%
9 8012
 
3.6%
4 5166
 
2.3%
5 4513
 
2.1%
7 4441
 
2.0%
8 4101
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 220000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 87688
39.9%
1 34335
 
15.6%
- 30000
 
13.6%
3 22925
 
10.4%
2 15407
 
7.0%
9 8012
 
3.6%
4 5166
 
2.3%
5 4513
 
2.1%
7 4441
 
2.0%
8 4101
 
1.9%

인허가일자
Real number (ℝ)

Distinct4880
Distinct (%)48.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20092181
Minimum19651118
Maximum20200803
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-20T21:30:39.071887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19651118
5-th percentile19911211
Q120030826
median20111220
Q320170307
95-th percentile20190816
Maximum20200803
Range549685
Interquartile range (IQR)139481

Descriptive statistics

Standard deviation89942.245
Coefficient of variation (CV)0.0044764799
Kurtosis0.62769885
Mean20092181
Median Absolute Deviation (MAD)59985.5
Skewness-1.0156373
Sum2.0092181 × 1011
Variance8.0896075 × 109
MonotonicityNot monotonic
2024-04-20T21:30:39.529893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20190305 16
 
0.2%
20190813 13
 
0.1%
20190628 12
 
0.1%
20190222 12
 
0.1%
20190816 12
 
0.1%
20190710 11
 
0.1%
20191115 11
 
0.1%
20191210 11
 
0.1%
20190417 11
 
0.1%
20190415 11
 
0.1%
Other values (4870) 9880
98.8%
ValueCountFrequency (%)
19651118 1
< 0.1%
19690814 2
< 0.1%
19700627 1
< 0.1%
19701023 1
< 0.1%
19701117 1
< 0.1%
19710130 1
< 0.1%
19710210 1
< 0.1%
19710227 1
< 0.1%
19710719 2
< 0.1%
19721129 1
< 0.1%
ValueCountFrequency (%)
20200803 4
< 0.1%
20200107 5
0.1%
20200106 2
 
< 0.1%
20191231 6
0.1%
20191227 3
< 0.1%
20191224 3
< 0.1%
20191220 7
0.1%
20191219 7
0.1%
20191218 7
0.1%
20191217 3
< 0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

영업상태구분코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
10000 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 10000
100.0%

Length

2024-04-20T21:30:39.941027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T21:30:40.191146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 10000
100.0%

영업상태명
Categorical

CONSTANT 

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

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 10000
100.0%

Length

2024-04-20T21:30:40.486612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T21:30:40.782789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 10000
100.0%

상세영업상태코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
10000 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 10000
100.0%

Length

2024-04-20T21:30:41.088800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T21:30:41.424895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 10000
100.0%

상세영업상태명
Categorical

CONSTANT 

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

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업 10000
100.0%

Length

2024-04-20T21:30:41.743047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T21:30:42.030306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 10000
100.0%

폐업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

소재지전화
Text

MISSING 

Distinct6261
Distinct (%)96.9%
Missing3542
Missing (%)35.4%
Memory size156.2 KiB
2024-04-20T21:30:43.392478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.29839
Min length1

Characters and Unicode

Total characters72965
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

Unique6227 ?
Unique (%)96.4%

Sample

1st row051206 8001
2nd row051 8167504
3rd row051 728 7207
4th row051 3220788
5th row051 580 0360
ValueCountFrequency (%)
051 6072
38.1%
727 104
 
0.7%
728 86
 
0.5%
070 81
 
0.5%
852 61
 
0.4%
724 56
 
0.4%
721 47
 
0.3%
722 43
 
0.3%
723 43
 
0.3%
747 38
 
0.2%
Other values (5730) 9319
58.4%
2024-04-20T21:30:44.963933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 11301
15.5%
0 10828
14.8%
1 10264
14.1%
9530
13.1%
2 5870
8.0%
7 4926
6.8%
3 4604
6.3%
8 4493
 
6.2%
6 4073
 
5.6%
4 3555
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 63435
86.9%
Space Separator 9530
 
13.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 11301
17.8%
0 10828
17.1%
1 10264
16.2%
2 5870
9.3%
7 4926
7.8%
3 4604
7.3%
8 4493
 
7.1%
6 4073
 
6.4%
4 3555
 
5.6%
9 3521
 
5.6%
Space Separator
ValueCountFrequency (%)
9530
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 72965
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 11301
15.5%
0 10828
14.8%
1 10264
14.1%
9530
13.1%
2 5870
8.0%
7 4926
6.8%
3 4604
6.3%
8 4493
 
6.2%
6 4073
 
5.6%
4 3555
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 72965
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 11301
15.5%
0 10828
14.8%
1 10264
14.1%
9530
13.1%
2 5870
8.0%
7 4926
6.8%
3 4604
6.3%
8 4493
 
6.2%
6 4073
 
5.6%
4 3555
 
4.9%

소재지면적
Text

MISSING 

Distinct6217
Distinct (%)63.2%
Missing160
Missing (%)1.6%
Memory size156.2 KiB
2024-04-20T21:30:46.451165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length5
Mean length5.2319106
Min length3

Characters and Unicode

Total characters51482
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

Unique4433 ?
Unique (%)45.1%

Sample

1st row57.73
2nd row39.53
3rd row56.00
4th row173.00
5th row25.00
ValueCountFrequency (%)
33.00 39
 
0.4%
30.00 33
 
0.3%
26.40 25
 
0.3%
00 25
 
0.3%
66.00 24
 
0.2%
36.00 22
 
0.2%
48.00 21
 
0.2%
24.00 20
 
0.2%
28.00 19
 
0.2%
56.00 18
 
0.2%
Other values (6207) 9594
97.5%
2024-04-20T21:30:48.337438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 9840
19.1%
0 6630
12.9%
1 4977
9.7%
2 4633
9.0%
4 4034
7.8%
3 3996
7.8%
5 3886
 
7.5%
6 3771
 
7.3%
8 3536
 
6.9%
7 3154
 
6.1%
Other values (2) 3025
 
5.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 41623
80.8%
Other Punctuation 9859
 
19.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6630
15.9%
1 4977
12.0%
2 4633
11.1%
4 4034
9.7%
3 3996
9.6%
5 3886
9.3%
6 3771
9.1%
8 3536
8.5%
7 3154
7.6%
9 3006
7.2%
Other Punctuation
ValueCountFrequency (%)
. 9840
99.8%
, 19
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
Common 51482
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 9840
19.1%
0 6630
12.9%
1 4977
9.7%
2 4633
9.0%
4 4034
7.8%
3 3996
7.8%
5 3886
 
7.5%
6 3771
 
7.3%
8 3536
 
6.9%
7 3154
 
6.1%
Other values (2) 3025
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 51482
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 9840
19.1%
0 6630
12.9%
1 4977
9.7%
2 4633
9.0%
4 4034
7.8%
3 3996
7.8%
5 3886
 
7.5%
6 3771
 
7.3%
8 3536
 
6.9%
7 3154
 
6.1%
Other values (2) 3025
 
5.9%

소재지우편번호
Real number (ℝ)

MISSING 

Distinct761
Distinct (%)7.8%
Missing224
Missing (%)2.2%
Infinite0
Infinite (%)0.0%
Mean611238.83
Minimum600011
Maximum619953
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-20T21:30:48.757053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum600011
5-th percentile601812
Q1607842
median611838.5
Q3614826
95-th percentile618814
Maximum619953
Range19942
Interquartile range (IQR)6984

Descriptive statistics

Standard deviation4887.6141
Coefficient of variation (CV)0.0079962428
Kurtosis-0.45041319
Mean611238.83
Median Absolute Deviation (MAD)3019.5
Skewness-0.32730881
Sum5.9754708 × 109
Variance23888772
MonotonicityNot monotonic
2024-04-20T21:30:49.224543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
609839 147
 
1.5%
608804 119
 
1.2%
607804 112
 
1.1%
604851 100
 
1.0%
618200 90
 
0.9%
612821 88
 
0.9%
612040 86
 
0.9%
612846 85
 
0.9%
612847 79
 
0.8%
608805 78
 
0.8%
Other values (751) 8792
87.9%
(Missing) 224
 
2.2%
ValueCountFrequency (%)
600011 2
 
< 0.1%
600012 9
0.1%
600013 4
 
< 0.1%
600014 2
 
< 0.1%
600015 2
 
< 0.1%
600016 3
 
< 0.1%
600017 10
0.1%
600021 1
 
< 0.1%
600022 7
0.1%
600023 4
 
< 0.1%
ValueCountFrequency (%)
619953 12
 
0.1%
619952 16
 
0.2%
619951 41
0.4%
619913 21
 
0.2%
619912 28
 
0.3%
619911 38
0.4%
619906 26
 
0.3%
619905 74
0.7%
619904 46
0.5%
619903 61
0.6%

소재지전체주소
Text

Distinct9411
Distinct (%)94.2%
Missing7
Missing (%)0.1%
Memory size156.2 KiB
2024-04-20T21:30:50.685373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length51
Mean length23.563695
Min length15

Characters and Unicode

Total characters235472
Distinct characters524
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8944 ?
Unique (%)89.5%

Sample

1st row부산광역시 사하구 당리동 313-50번지
2nd row부산광역시 부산진구 부암동 80-1번지
3rd row부산광역시 기장군 정관읍 모전리 735번지 이지더원2차아파트 215동 B205,B206호
4th row부산광역시 사상구 엄궁동 635-4번지
5th row부산광역시 중구 부평동1가 29-81번지
ValueCountFrequency (%)
부산광역시 9993
 
22.2%
해운대구 1542
 
3.4%
부산진구 1096
 
2.4%
금정구 998
 
2.2%
사하구 996
 
2.2%
남구 795
 
1.8%
동래구 744
 
1.7%
기장군 694
 
1.5%
1층 688
 
1.5%
연제구 651
 
1.4%
Other values (10277) 26821
59.6%
2024-04-20T21:30:52.629142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
35034
 
14.9%
부 12070
 
5.1%
산 11882
 
5.0%
1 11427
 
4.9%
동 10966
 
4.7%
광 10331
 
4.4%
시 10153
 
4.3%
역 10005
 
4.2%
구 9668
 
4.1%
- 9143
 
3.9%
Other values (514) 104793
44.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 139219
59.1%
Decimal Number 50135
 
21.3%
Space Separator 35034
 
14.9%
Dash Punctuation 9143
 
3.9%
Open Punctuation 646
 
0.3%
Close Punctuation 645
 
0.3%
Other Punctuation 378
 
0.2%
Uppercase Letter 207
 
0.1%
Math Symbol 33
 
< 0.1%
Lowercase Letter 28
 
< 0.1%
Other values (2) 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 12070
 
8.7%
산 11882
 
8.5%
동 10966
 
7.9%
광 10331
 
7.4%
시 10153
 
7.3%
역 10005
 
7.2%
구 9668
 
6.9%
지 8279
 
5.9%
번 7665
 
5.5%
대 2470
 
1.8%
Other values (454) 45730
32.8%
Uppercase Letter
ValueCountFrequency (%)
A 50
24.2%
B 41
19.8%
S 17
 
8.2%
C 15
 
7.2%
K 12
 
5.8%
T 8
 
3.9%
H 7
 
3.4%
L 6
 
2.9%
E 6
 
2.9%
G 6
 
2.9%
Other values (13) 39
18.8%
Lowercase Letter
ValueCountFrequency (%)
e 12
42.9%
o 2
 
7.1%
c 2
 
7.1%
r 2
 
7.1%
i 2
 
7.1%
a 2
 
7.1%
p 1
 
3.6%
n 1
 
3.6%
l 1
 
3.6%
s 1
 
3.6%
Other values (2) 2
 
7.1%
Decimal Number
ValueCountFrequency (%)
1 11427
22.8%
2 6809
13.6%
3 5474
10.9%
4 4972
9.9%
5 4509
 
9.0%
0 3755
 
7.5%
6 3474
 
6.9%
7 3464
 
6.9%
8 3185
 
6.4%
9 3066
 
6.1%
Other Punctuation
ValueCountFrequency (%)
, 326
86.2%
. 29
 
7.7%
@ 15
 
4.0%
/ 4
 
1.1%
& 3
 
0.8%
: 1
 
0.3%
Open Punctuation
ValueCountFrequency (%)
( 644
99.7%
[ 2
 
0.3%
Close Punctuation
ValueCountFrequency (%)
) 643
99.7%
] 2
 
0.3%
Space Separator
ValueCountFrequency (%)
35034
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9143
100.0%
Math Symbol
ValueCountFrequency (%)
~ 33
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 3
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 139219
59.1%
Common 96015
40.8%
Latin 238
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 12070
 
8.7%
산 11882
 
8.5%
동 10966
 
7.9%
광 10331
 
7.4%
시 10153
 
7.3%
역 10005
 
7.2%
구 9668
 
6.9%
지 8279
 
5.9%
번 7665
 
5.5%
대 2470
 
1.8%
Other values (454) 45730
32.8%
Latin
ValueCountFrequency (%)
A 50
21.0%
B 41
17.2%
S 17
 
7.1%
C 15
 
6.3%
K 12
 
5.0%
e 12
 
5.0%
T 8
 
3.4%
H 7
 
2.9%
L 6
 
2.5%
E 6
 
2.5%
Other values (26) 64
26.9%
Common
ValueCountFrequency (%)
35034
36.5%
1 11427
 
11.9%
- 9143
 
9.5%
2 6809
 
7.1%
3 5474
 
5.7%
4 4972
 
5.2%
5 4509
 
4.7%
0 3755
 
3.9%
6 3474
 
3.6%
7 3464
 
3.6%
Other values (14) 7954
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 139219
59.1%
ASCII 96250
40.9%
Number Forms 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
35034
36.4%
1 11427
 
11.9%
- 9143
 
9.5%
2 6809
 
7.1%
3 5474
 
5.7%
4 4972
 
5.2%
5 4509
 
4.7%
0 3755
 
3.9%
6 3474
 
3.6%
7 3464
 
3.6%
Other values (49) 8189
 
8.5%
Hangul
ValueCountFrequency (%)
부 12070
 
8.7%
산 11882
 
8.5%
동 10966
 
7.9%
광 10331
 
7.4%
시 10153
 
7.3%
역 10005
 
7.2%
구 9668
 
6.9%
지 8279
 
5.9%
번 7665
 
5.5%
대 2470
 
1.8%
Other values (454) 45730
32.8%
Number Forms
ValueCountFrequency (%)
Ⅱ 3
100.0%

도로명전체주소
Text

Distinct9608
Distinct (%)96.9%
Missing82
Missing (%)0.8%
Memory size156.2 KiB
2024-04-20T21:30:54.571678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length58
Mean length30.250353
Min length19

Characters and Unicode

Total characters300023
Distinct characters546
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9327 ?
Unique (%)94.0%

Sample

1st row부산광역시 사하구 낙동대로436번길 16 (당리동)
2nd row부산광역시 부산진구 새싹로 113 (부암동)
3rd row부산광역시 기장군 정관읍 정관2로 9, 215동 B205,B206호 (이지더원2차아파트)
4th row부산광역시 사상구 낙동대로 749, 1층 (엄궁동)
5th row부산광역시 중구 중구로29번길 18, 1층 (부평동1가)
ValueCountFrequency (%)
부산광역시 9918
 
17.1%
1층 2535
 
4.4%
해운대구 1523
 
2.6%
부산진구 1089
 
1.9%
금정구 988
 
1.7%
사하구 975
 
1.7%
남구 793
 
1.4%
동래구 744
 
1.3%
기장군 688
 
1.2%
연제구 651
 
1.1%
Other values (6543) 38087
65.7%
2024-04-20T21:30:56.461797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
48103
 
16.0%
1 13564
 
4.5%
부 12374
 
4.1%
동 12268
 
4.1%
산 12047
 
4.0%
광 10602
 
3.5%
시 10417
 
3.5%
역 9932
 
3.3%
구 9803
 
3.3%
) 9648
 
3.2%
Other values (536) 151265
50.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 175207
58.4%
Space Separator 48103
 
16.0%
Decimal Number 48097
 
16.0%
Close Punctuation 9651
 
3.2%
Open Punctuation 9650
 
3.2%
Other Punctuation 6798
 
2.3%
Dash Punctuation 1999
 
0.7%
Uppercase Letter 388
 
0.1%
Math Symbol 95
 
< 0.1%
Lowercase Letter 31
 
< 0.1%
Other values (2) 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 12374
 
7.1%
동 12268
 
7.0%
산 12047
 
6.9%
광 10602
 
6.1%
시 10417
 
5.9%
역 9932
 
5.7%
구 9803
 
5.6%
로 9529
 
5.4%
길 5394
 
3.1%
번 5084
 
2.9%
Other values (479) 77757
44.4%
Uppercase Letter
ValueCountFrequency (%)
B 95
24.5%
A 91
23.5%
C 34
 
8.8%
S 27
 
7.0%
K 19
 
4.9%
T 13
 
3.4%
E 13
 
3.4%
P 10
 
2.6%
G 9
 
2.3%
I 9
 
2.3%
Other values (15) 68
17.5%
Decimal Number
ValueCountFrequency (%)
1 13564
28.2%
2 7129
14.8%
3 4946
 
10.3%
0 3953
 
8.2%
4 3860
 
8.0%
5 3502
 
7.3%
6 3215
 
6.7%
7 2812
 
5.8%
8 2604
 
5.4%
9 2512
 
5.2%
Other Punctuation
ValueCountFrequency (%)
, 6727
99.0%
. 38
 
0.6%
@ 16
 
0.2%
· 6
 
0.1%
/ 5
 
0.1%
& 4
 
0.1%
* 1
 
< 0.1%
: 1
 
< 0.1%
Lowercase Letter
ValueCountFrequency (%)
e 27
87.1%
p 1
 
3.2%
o 1
 
3.2%
s 1
 
3.2%
k 1
 
3.2%
Close Punctuation
ValueCountFrequency (%)
) 9648
> 99.9%
] 3
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 9647
> 99.9%
[ 3
 
< 0.1%
Space Separator
ValueCountFrequency (%)
48103
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1999
100.0%
Math Symbol
ValueCountFrequency (%)
~ 95
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 3
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 175207
58.4%
Common 124394
41.5%
Latin 422
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 12374
 
7.1%
동 12268
 
7.0%
산 12047
 
6.9%
광 10602
 
6.1%
시 10417
 
5.9%
역 9932
 
5.7%
구 9803
 
5.6%
로 9529
 
5.4%
길 5394
 
3.1%
번 5084
 
2.9%
Other values (479) 77757
44.4%
Latin
ValueCountFrequency (%)
B 95
22.5%
A 91
21.6%
C 34
 
8.1%
S 27
 
6.4%
e 27
 
6.4%
K 19
 
4.5%
T 13
 
3.1%
E 13
 
3.1%
P 10
 
2.4%
G 9
 
2.1%
Other values (21) 84
19.9%
Common
ValueCountFrequency (%)
48103
38.7%
1 13564
 
10.9%
) 9648
 
7.8%
( 9647
 
7.8%
2 7129
 
5.7%
, 6727
 
5.4%
3 4946
 
4.0%
0 3953
 
3.2%
4 3860
 
3.1%
5 3502
 
2.8%
Other values (16) 13315
 
10.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 175207
58.4%
ASCII 124807
41.6%
None 6
 
< 0.1%
Number Forms 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
48103
38.5%
1 13564
 
10.9%
) 9648
 
7.7%
( 9647
 
7.7%
2 7129
 
5.7%
, 6727
 
5.4%
3 4946
 
4.0%
0 3953
 
3.2%
4 3860
 
3.1%
5 3502
 
2.8%
Other values (45) 13728
 
11.0%
Hangul
ValueCountFrequency (%)
부 12374
 
7.1%
동 12268
 
7.0%
산 12047
 
6.9%
광 10602
 
6.1%
시 10417
 
5.9%
역 9932
 
5.7%
구 9803
 
5.6%
로 9529
 
5.4%
길 5394
 
3.1%
번 5084
 
2.9%
Other values (479) 77757
44.4%
None
ValueCountFrequency (%)
· 6
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 3
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct1556
Distinct (%)15.7%
Missing119
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean47682.84
Minimum46002
Maximum49527
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-20T21:30:56.945335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46002
5-th percentile46063
Q146918
median47786
Q348401
95-th percentile49410
Maximum49527
Range3525
Interquartile range (IQR)1483

Descriptive statistics

Standard deviation1007.0102
Coefficient of variation (CV)0.021118923
Kurtosis-0.94649725
Mean47682.84
Median Absolute Deviation (MAD)719
Skewness-0.00014892383
Sum4.7115414 × 108
Variance1014069.6
MonotonicityNot monotonic
2024-04-20T21:30:57.266085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
46726 89
 
0.9%
48095 70
 
0.7%
48512 69
 
0.7%
48079 57
 
0.6%
48059 55
 
0.5%
48094 52
 
0.5%
47736 52
 
0.5%
48498 51
 
0.5%
48111 48
 
0.5%
47257 47
 
0.5%
Other values (1546) 9291
92.9%
(Missing) 119
 
1.2%
ValueCountFrequency (%)
46002 5
 
0.1%
46003 5
 
0.1%
46004 11
 
0.1%
46005 1
 
< 0.1%
46006 1
 
< 0.1%
46007 1
 
< 0.1%
46008 34
0.3%
46009 1
 
< 0.1%
46010 2
 
< 0.1%
46012 5
 
0.1%
ValueCountFrequency (%)
49527 6
 
0.1%
49526 1
 
< 0.1%
49525 3
 
< 0.1%
49524 20
0.2%
49523 2
 
< 0.1%
49522 8
 
0.1%
49521 40
0.4%
49520 8
 
0.1%
49519 5
 
0.1%
49518 3
 
< 0.1%

사업장명
Text

Distinct9118
Distinct (%)91.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-20T21:30:58.287708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length30
Mean length5.9776
Min length1

Characters and Unicode

Total characters59776
Distinct characters1112
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8542 ?
Unique (%)85.4%

Sample

1st row원조봉평메밀면가
2nd row미가아구찜
3rd row고봉김밥(정관점)
4th row시골한방돼지국밥
5th row친구네
ValueCountFrequency (%)
해운대점 32
 
0.3%
부산대점 25
 
0.2%
옛날통닭 22
 
0.2%
맘스터치 20
 
0.2%
정관점 19
 
0.2%
치킨 19
 
0.2%
치킨신드롬 19
 
0.2%
처갓집양념치킨 18
 
0.1%
김밥천국 18
 
0.1%
대연점 17
 
0.1%
Other values (9697) 12098
98.3%
2024-04-20T21:30:59.906979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2309
 
3.9%
점 1505
 
2.5%
이 1205
 
2.0%
식 927
 
1.6%
집 758
 
1.3%
대 753
 
1.3%
당 734
 
1.2%
리 728
 
1.2%
스 703
 
1.2%
( 700
 
1.2%
Other values (1102) 49454
82.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 52655
88.1%
Space Separator 2309
 
3.9%
Lowercase Letter 1180
 
2.0%
Uppercase Letter 1136
 
1.9%
Decimal Number 828
 
1.4%
Open Punctuation 702
 
1.2%
Close Punctuation 702
 
1.2%
Other Punctuation 235
 
0.4%
Dash Punctuation 14
 
< 0.1%
Letter Number 9
 
< 0.1%
Other values (3) 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 1505
 
2.9%
이 1205
 
2.3%
식 927
 
1.8%
집 758
 
1.4%
대 753
 
1.4%
당 734
 
1.4%
리 728
 
1.4%
스 703
 
1.3%
가 673
 
1.3%
치 655
 
1.2%
Other values (1017) 44014
83.6%
Uppercase Letter
ValueCountFrequency (%)
C 89
 
7.8%
A 86
 
7.6%
B 84
 
7.4%
O 83
 
7.3%
E 70
 
6.2%
S 65
 
5.7%
T 61
 
5.4%
H 59
 
5.2%
N 54
 
4.8%
M 52
 
4.6%
Other values (16) 433
38.1%
Lowercase Letter
ValueCountFrequency (%)
e 149
12.6%
a 124
 
10.5%
o 115
 
9.7%
i 83
 
7.0%
n 79
 
6.7%
r 75
 
6.4%
t 71
 
6.0%
h 60
 
5.1%
s 59
 
5.0%
l 52
 
4.4%
Other values (14) 313
26.5%
Other Punctuation
ValueCountFrequency (%)
& 111
47.2%
. 46
19.6%
, 35
 
14.9%
' 14
 
6.0%
# 6
 
2.6%
· 6
 
2.6%
! 5
 
2.1%
? 4
 
1.7%
/ 4
 
1.7%
: 2
 
0.9%
Other values (2) 2
 
0.9%
Decimal Number
ValueCountFrequency (%)
1 161
19.4%
0 149
18.0%
2 133
16.1%
9 77
9.3%
3 71
8.6%
7 64
 
7.7%
4 49
 
5.9%
5 47
 
5.7%
6 45
 
5.4%
8 32
 
3.9%
Letter Number
ValueCountFrequency (%)
Ⅱ 6
66.7%
Ⅰ 2
 
22.2%
Ⅲ 1
 
11.1%
Open Punctuation
ValueCountFrequency (%)
( 700
99.7%
[ 2
 
0.3%
Close Punctuation
ValueCountFrequency (%)
) 700
99.7%
] 2
 
0.3%
Math Symbol
ValueCountFrequency (%)
+ 3
75.0%
~ 1
 
25.0%
Space Separator
ValueCountFrequency (%)
2309
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 52590
88.0%
Common 4796
 
8.0%
Latin 2325
 
3.9%
Han 65
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 1505
 
2.9%
이 1205
 
2.3%
식 927
 
1.8%
집 758
 
1.4%
대 753
 
1.4%
당 734
 
1.4%
리 728
 
1.4%
스 703
 
1.3%
가 673
 
1.3%
치 655
 
1.2%
Other values (967) 43949
83.6%
Latin
ValueCountFrequency (%)
e 149
 
6.4%
a 124
 
5.3%
o 115
 
4.9%
C 89
 
3.8%
A 86
 
3.7%
B 84
 
3.6%
O 83
 
3.6%
i 83
 
3.6%
n 79
 
3.4%
r 75
 
3.2%
Other values (43) 1358
58.4%
Han
ValueCountFrequency (%)
家 5
 
7.7%
大 3
 
4.6%
眞 3
 
4.6%
酒 3
 
4.6%
愛 3
 
4.6%
火 2
 
3.1%
生 2
 
3.1%
海 2
 
3.1%
福 1
 
1.5%
晶 1
 
1.5%
Other values (40) 40
61.5%
Common
ValueCountFrequency (%)
2309
48.1%
( 700
 
14.6%
) 700
 
14.6%
1 161
 
3.4%
0 149
 
3.1%
2 133
 
2.8%
& 111
 
2.3%
9 77
 
1.6%
3 71
 
1.5%
7 64
 
1.3%
Other values (22) 321
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 52590
88.0%
ASCII 7106
 
11.9%
CJK 64
 
0.1%
Number Forms 9
 
< 0.1%
None 6
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2309
32.5%
( 700
 
9.9%
) 700
 
9.9%
1 161
 
2.3%
e 149
 
2.1%
0 149
 
2.1%
2 133
 
1.9%
a 124
 
1.7%
o 115
 
1.6%
& 111
 
1.6%
Other values (71) 2455
34.5%
Hangul
ValueCountFrequency (%)
점 1505
 
2.9%
이 1205
 
2.3%
식 927
 
1.8%
집 758
 
1.4%
대 753
 
1.4%
당 734
 
1.4%
리 728
 
1.4%
스 703
 
1.3%
가 673
 
1.3%
치 655
 
1.2%
Other values (967) 43949
83.6%
Number Forms
ValueCountFrequency (%)
Ⅱ 6
66.7%
Ⅰ 2
 
22.2%
Ⅲ 1
 
11.1%
None
ValueCountFrequency (%)
· 6
100.0%
CJK
ValueCountFrequency (%)
家 5
 
7.8%
大 3
 
4.7%
眞 3
 
4.7%
酒 3
 
4.7%
愛 3
 
4.7%
火 2
 
3.1%
生 2
 
3.1%
海 2
 
3.1%
福 1
 
1.6%
晶 1
 
1.6%
Other values (39) 39
60.9%
CJK Compat Ideographs
ValueCountFrequency (%)
樂 1
100.0%

최종수정시점
Real number (ℝ)

Distinct9975
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0176845 × 1013
Minimum1.9990312 × 1013
Maximum2.0210331 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-20T21:31:00.161281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.9990312 × 1013
5-th percentile2.0111114 × 1013
Q12.017021 × 1013
median2.0190319 × 1013
Q32.0200604 × 1013
95-th percentile2.0210203 × 1013
Maximum2.0210331 × 1013
Range2.2001917 × 1011
Interquartile range (IQR)3.0393992 × 1010

Descriptive statistics

Standard deviation3.355364 × 1010
Coefficient of variation (CV)0.0016629776
Kurtosis4.5470967
Mean2.0176845 × 1013
Median Absolute Deviation (MAD)1.0687016 × 1010
Skewness-1.916102
Sum2.0176845 × 1017
Variance1.1258468 × 1021
MonotonicityNot monotonic
2024-04-20T21:31:00.508288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20040604000000 6
 
0.1%
20050603000000 5
 
0.1%
20020430000000 3
 
< 0.1%
20040610000000 3
 
< 0.1%
20040802000000 2
 
< 0.1%
20020528000000 2
 
< 0.1%
20050630000000 2
 
< 0.1%
20050110000000 2
 
< 0.1%
20040816000000 2
 
< 0.1%
20020823000000 2
 
< 0.1%
Other values (9965) 9971
99.7%
ValueCountFrequency (%)
19990312000000 1
< 0.1%
19990317000000 1
< 0.1%
19990319000000 1
< 0.1%
19990507000000 1
< 0.1%
20000921000000 1
< 0.1%
20010619000000 1
< 0.1%
20010903000000 1
< 0.1%
20010912000000 2
< 0.1%
20011231000000 1
< 0.1%
20020225000000 2
< 0.1%
ValueCountFrequency (%)
20210331171104 1
< 0.1%
20210331170835 1
< 0.1%
20210331170052 1
< 0.1%
20210331170013 1
< 0.1%
20210331161716 1
< 0.1%
20210331161308 1
< 0.1%
20210331151849 1
< 0.1%
20210331150816 1
< 0.1%
20210331150430 1
< 0.1%
20210331150049 1
< 0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
U
5480 
I
4520 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 5480
54.8%
I 4520
45.2%

Length

2024-04-20T21:31:00.918199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T21:31:01.217668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 5480
54.8%
i 4520
45.2%

데이터갱신일자
Date

Distinct808
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2018-08-31 23:59:59
Maximum2021-04-02 02:40:00
2024-04-20T21:31:01.419623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-20T21:31:01.843331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

Distinct29
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
한식
4114 
기타
915 
호프/통닭
911 
분식
719 
경양식
711 
Other values (24)
2630 

Length

Max length15
Median length2
Mean length3.2951
Min length2

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row한식
2nd row한식
3rd row김밥(도시락)
4th row한식
5th row한식

Common Values

ValueCountFrequency (%)
한식 4114
41.1%
기타 915
 
9.2%
호프/통닭 911
 
9.1%
분식 719
 
7.2%
경양식 711
 
7.1%
식육(숯불구이) 661
 
6.6%
중국식 362
 
3.6%
통닭(치킨) 321
 
3.2%
회집 274
 
2.7%
정종/대포집/소주방 257
 
2.6%
Other values (19) 755
 
7.5%

Length

2024-04-20T21:31:02.305936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
한식 4114
41.1%
기타 915
 
9.1%
호프/통닭 911
 
9.1%
분식 719
 
7.2%
경양식 711
 
7.1%
식육(숯불구이 661
 
6.6%
중국식 362
 
3.6%
통닭(치킨 321
 
3.2%
회집 274
 
2.7%
정종/대포집/소주방 257
 
2.6%
Other values (20) 756
 
7.6%

좌표정보(x)
Real number (ℝ)

Distinct8454
Distinct (%)84.8%
Missing32
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean389193.95
Minimum365045.34
Maximum407739.05
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-20T21:31:02.700480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum365045.34
5-th percentile379276.99
Q1385087.38
median389614.82
Q3392702.62
95-th percentile400312.66
Maximum407739.05
Range42693.704
Interquartile range (IQR)7615.2396

Descriptive statistics

Standard deviation6379.2098
Coefficient of variation (CV)0.016390824
Kurtosis0.15550151
Mean389193.95
Median Absolute Deviation (MAD)3795.7092
Skewness-0.007766011
Sum3.8794853 × 109
Variance40694317
MonotonicityNot monotonic
2024-04-20T21:31:03.101042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
395560.220499924 21
 
0.2%
393952.264486105 12
 
0.1%
387608.014165034 11
 
0.1%
393720.031658155 11
 
0.1%
387271.299492377 11
 
0.1%
387655.81972947 11
 
0.1%
387991.858940226 10
 
0.1%
385590.814676765 9
 
0.1%
394201.81589403 9
 
0.1%
388182.381367829 9
 
0.1%
Other values (8444) 9854
98.5%
(Missing) 32
 
0.3%
ValueCountFrequency (%)
365045.343077193 1
< 0.1%
365397.608409735 1
< 0.1%
365635.243564523 1
< 0.1%
365640.503678325 1
< 0.1%
366152.285158416 1
< 0.1%
366750.818205353 1
< 0.1%
366894.214048508 1
< 0.1%
366932.944608323 1
< 0.1%
366933.279981515 1
< 0.1%
367008.391899012 1
< 0.1%
ValueCountFrequency (%)
407739.046710947 1
< 0.1%
407684.387340404 1
< 0.1%
407681.822826568 1
< 0.1%
407674.384604368 1
< 0.1%
407666.833570635 1
< 0.1%
407636.639058464 1
< 0.1%
407594.171129694 1
< 0.1%
407569.558247412 1
< 0.1%
407560.42838879 1
< 0.1%
407556.4753504 1
< 0.1%

좌표정보(y)
Real number (ℝ)

Distinct8454
Distinct (%)84.8%
Missing32
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean188036.46
Minimum169660.62
Maximum211459
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-20T21:31:03.505046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum169660.62
5-th percentile178615.96
Q1184084.96
median187631.56
Q3191664.7
95-th percentile198382.69
Maximum211459
Range41798.383
Interquartile range (IQR)7579.7438

Descriptive statistics

Standard deviation6209.3185
Coefficient of variation (CV)0.033021887
Kurtosis0.54512489
Mean188036.46
Median Absolute Deviation (MAD)3755.2672
Skewness0.41050946
Sum1.8743474 × 109
Variance38555636
MonotonicityNot monotonic
2024-04-20T21:31:03.928154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
186273.769084383 21
 
0.2%
187602.933160728 12
 
0.1%
185703.079007724 11
 
0.1%
188352.780012344 11
 
0.1%
186099.137533193 11
 
0.1%
190506.472924428 11
 
0.1%
184124.742260293 10
 
0.1%
179553.867031936 9
 
0.1%
187760.860165772 9
 
0.1%
185024.662471639 9
 
0.1%
Other values (8444) 9854
98.5%
(Missing) 32
 
0.3%
ValueCountFrequency (%)
169660.618777519 1
< 0.1%
169741.350466391 1
< 0.1%
169966.609440153 1
< 0.1%
170020.600937816 1
< 0.1%
170114.596522953 1
< 0.1%
171419.527737619 1
< 0.1%
171449.276719327 1
< 0.1%
171739.401231828 1
< 0.1%
171831.731767889 1
< 0.1%
173080.332146413 1
< 0.1%
ValueCountFrequency (%)
211459.001777975 1
< 0.1%
210280.024270446 1
< 0.1%
210276.15974164 1
< 0.1%
210274.644346605 1
< 0.1%
210271.0098519 1
< 0.1%
210212.10060411 1
< 0.1%
210191.828248229 1
< 0.1%
210169.093320309 1
< 0.1%
210147.002296512 1
< 0.1%
210134.392238701 1
< 0.1%

위생업태명
Categorical

Distinct29
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
한식
4118 
호프/통닭
905 
기타
905 
경양식
741 
분식
711 
Other values (24)
2620 

Length

Max length15
Median length2
Mean length3.2901
Min length2

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row한식
2nd row한식
3rd row김밥(도시락)
4th row한식
5th row한식

Common Values

ValueCountFrequency (%)
한식 4118
41.2%
호프/통닭 905
 
9.0%
기타 905
 
9.0%
경양식 741
 
7.4%
분식 711
 
7.1%
식육(숯불구이) 658
 
6.6%
중국식 369
 
3.7%
통닭(치킨) 330
 
3.3%
회집 326
 
3.3%
정종/대포집/소주방 258
 
2.6%
Other values (19) 679
 
6.8%

Length

2024-04-20T21:31:04.368961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
한식 4118
41.2%
호프/통닭 905
 
9.0%
기타 905
 
9.0%
경양식 741
 
7.4%
분식 711
 
7.1%
식육(숯불구이 658
 
6.6%
중국식 369
 
3.7%
통닭(치킨 330
 
3.3%
회집 326
 
3.3%
정종/대포집/소주방 258
 
2.6%
Other values (20) 680
 
6.8%

남성종사자수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)0.2%
Missing6842
Missing (%)68.4%
Infinite0
Infinite (%)0.0%
Mean0.068081064
Minimum0
Maximum5
Zeros2988
Zeros (%)29.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-20T21:31:04.714807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.32348796
Coefficient of variation (CV)4.7515116
Kurtosis55.862638
Mean0.068081064
Median Absolute Deviation (MAD)0
Skewness6.4843169
Sum215
Variance0.10464446
MonotonicityNot monotonic
2024-04-20T21:31:05.071638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 2988
29.9%
1 140
 
1.4%
2 19
 
0.2%
3 8
 
0.1%
4 2
 
< 0.1%
5 1
 
< 0.1%
(Missing) 6842
68.4%
ValueCountFrequency (%)
0 2988
29.9%
1 140
 
1.4%
2 19
 
0.2%
3 8
 
0.1%
4 2
 
< 0.1%
5 1
 
< 0.1%
ValueCountFrequency (%)
5 1
 
< 0.1%
4 2
 
< 0.1%
3 8
 
0.1%
2 19
 
0.2%
1 140
 
1.4%
0 2988
29.9%

여성종사자수
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)0.3%
Missing6841
Missing (%)68.4%
Infinite0
Infinite (%)0.0%
Mean0.13295347
Minimum0
Maximum15
Zeros2932
Zeros (%)29.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-20T21:31:05.410031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum15
Range15
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.65531382
Coefficient of variation (CV)4.9288961
Kurtosis147.39258
Mean0.13295347
Median Absolute Deviation (MAD)0
Skewness9.7930333
Sum420
Variance0.42943621
MonotonicityNot monotonic
2024-04-20T21:31:05.839214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 2932
29.3%
1 134
 
1.3%
2 53
 
0.5%
3 21
 
0.2%
4 7
 
0.1%
6 5
 
0.1%
5 3
 
< 0.1%
8 1
 
< 0.1%
11 1
 
< 0.1%
10 1
 
< 0.1%
(Missing) 6841
68.4%
ValueCountFrequency (%)
0 2932
29.3%
1 134
 
1.3%
2 53
 
0.5%
3 21
 
0.2%
4 7
 
0.1%
5 3
 
< 0.1%
6 5
 
0.1%
8 1
 
< 0.1%
10 1
 
< 0.1%
11 1
 
< 0.1%
ValueCountFrequency (%)
15 1
 
< 0.1%
11 1
 
< 0.1%
10 1
 
< 0.1%
8 1
 
< 0.1%
6 5
 
0.1%
5 3
 
< 0.1%
4 7
 
0.1%
3 21
 
0.2%
2 53
 
0.5%
1 134
1.3%

영업장주변구분명
Categorical

IMBALANCE 

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
6945 
기타
1965 
주택가주변
 
690
유흥업소밀집지역
 
175
아파트지역
 
162
Other values (3)
 
63

Length

Max length8
Median length4
Mean length3.7873
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 6945
69.5%
기타 1965
 
19.7%
주택가주변 690
 
6.9%
유흥업소밀집지역 175
 
1.8%
아파트지역 162
 
1.6%
학교정화(상대) 59
 
0.6%
학교정화(절대) 3
 
< 0.1%
결혼예식장주변 1
 
< 0.1%

Length

2024-04-20T21:31:06.197880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T21:31:06.683763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 6945
69.5%
기타 1965
 
19.7%
주택가주변 690
 
6.9%
유흥업소밀집지역 175
 
1.8%
아파트지역 162
 
1.6%
학교정화(상대 59
 
0.6%
학교정화(절대 3
 
< 0.1%
결혼예식장주변 1
 
< 0.1%

등급구분명
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
7501 
기타
1607 
자율
858 
지도
 
15
우수
 
13
Other values (2)
 
6

Length

Max length4
Median length4
Mean length3.5001
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 7501
75.0%
기타 1607
 
16.1%
자율 858
 
8.6%
지도 15
 
0.1%
우수 13
 
0.1%
관리 5
 
0.1%
갑 1
 
< 0.1%

Length

2024-04-20T21:31:07.100369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T21:31:07.411935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7501
75.0%
기타 1607
 
16.1%
자율 858
 
8.6%
지도 15
 
0.1%
우수 13
 
0.1%
관리 5
 
< 0.1%
갑 1
 
< 0.1%

급수시설구분명
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
상수도전용
6020 
<NA>
3909 
지하수전용
 
50
간이상수도
 
11
상수도(음용)지하수(주방용)겸용
 
6

Length

Max length19
Median length5
Mean length4.6219
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
상수도전용 6020
60.2%
<NA> 3909
39.1%
지하수전용 50
 
0.5%
간이상수도 11
 
0.1%
상수도(음용)지하수(주방용)겸용 6
 
0.1%
전용상수도(특정시설의 자가용 수도) 4
 
< 0.1%

Length

2024-04-20T21:31:07.743156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T21:31:08.085730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
상수도전용 6020
60.2%
na 3909
39.1%
지하수전용 50
 
0.5%
간이상수도 11
 
0.1%
상수도(음용)지하수(주방용)겸용 6
 
0.1%
전용상수도(특정시설의 4
 
< 0.1%
자가용 4
 
< 0.1%
수도 4
 
< 0.1%

총종업원수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

본사종업원수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

공장사무직종업원수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

공장판매직종업원수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

공장생산직종업원수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

건물소유구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

보증액
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

월세액
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

다중이용업소여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
9124 
True
 
876
ValueCountFrequency (%)
False 9124
91.2%
True 876
 
8.8%
2024-04-20T21:31:08.389755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

ZEROS 

Distinct6189
Distinct (%)61.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean85.032907
Minimum0
Maximum4808.49
Zeros246
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-20T21:31:08.587122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile14.8895
Q133
median57.755
Q396.7425
95-th percentile233.696
Maximum4808.49
Range4808.49
Interquartile range (IQR)63.7425

Descriptive statistics

Standard deviation120.9312
Coefficient of variation (CV)1.4221695
Kurtosis336.38118
Mean85.032907
Median Absolute Deviation (MAD)28.61
Skewness12.726128
Sum850329.07
Variance14624.356
MonotonicityNot monotonic
2024-04-20T21:31:08.899373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 246
 
2.5%
33.0 39
 
0.4%
30.0 33
 
0.3%
66.0 24
 
0.2%
26.4 24
 
0.2%
36.0 22
 
0.2%
48.0 21
 
0.2%
24.0 20
 
0.2%
28.0 19
 
0.2%
40.0 19
 
0.2%
Other values (6179) 9533
95.3%
ValueCountFrequency (%)
0.0 246
2.5%
2.52 1
 
< 0.1%
3.9 1
 
< 0.1%
4.05 1
 
< 0.1%
4.63 1
 
< 0.1%
5.23 1
 
< 0.1%
5.28 1
 
< 0.1%
5.67 1
 
< 0.1%
5.68 1
 
< 0.1%
5.8 1
 
< 0.1%
ValueCountFrequency (%)
4808.49 1
< 0.1%
3222.96 1
< 0.1%
2637.76 1
< 0.1%
1925.16 1
< 0.1%
1849.15 1
< 0.1%
1819.74 1
< 0.1%
1712.67 1
< 0.1%
1711.88 1
< 0.1%
1672.99 1
< 0.1%
1629.87 1
< 0.1%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

Unnamed: 47
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총종업원수본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지Unnamed: 47
88668867일반음식점07_24_04_P33400003340000-101-2002-0022820020617<NA>1영업/정상1영업<NA><NA><NA><NA>051206 800157.73604829부산광역시 사하구 당리동 313-50번지부산광역시 사하구 낙동대로436번길 16 (당리동)49326원조봉평메밀면가20130704120138I2018-08-31 23:59:59.0한식379706.5593180234.398782한식00<NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N57.73<NA><NA><NA><NA>
1707717078일반음식점07_24_04_P32900003290000-101-1996-0269919960528<NA>1영업/정상1영업<NA><NA><NA><NA>051 816750439.53614822부산광역시 부산진구 부암동 80-1번지부산광역시 부산진구 새싹로 113 (부암동)47191미가아구찜20050412000000I2018-08-31 23:59:59.0한식386855.810672187176.028683한식<NA><NA>기타기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N39.53<NA><NA><NA><NA>
37493750일반음식점07_24_04_P34000003400000-101-2013-0001620130205<NA>1영업/정상1영업<NA><NA><NA><NA>051 728 720756.00<NA>부산광역시 기장군 정관읍 모전리 735번지 이지더원2차아파트 215동 B205,B206호부산광역시 기장군 정관읍 정관2로 9, 215동 B205,B206호 (이지더원2차아파트)46007고봉김밥(정관점)20190415194021U2019-04-17 02:40:00.0김밥(도시락)396661.136744205995.903772김밥(도시락)<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N56.0<NA><NA><NA><NA>
2309823099일반음식점07_24_04_P33900003390000-101-2005-0001020050124<NA>1영업/정상1영업<NA><NA><NA><NA>051 3220788173.00617831부산광역시 사상구 엄궁동 635-4번지부산광역시 사상구 낙동대로 749, 1층 (엄궁동)47032시골한방돼지국밥20180316171200I2018-08-31 23:59:59.0한식379427.965298182786.033108한식00기타<NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N173.0<NA><NA><NA><NA>
69746975일반음식점07_24_04_P32500003250000-101-2018-0004420180619<NA>1영업/정상1영업<NA><NA><NA><NA><NA>25.00600804부산광역시 중구 부평동1가 29-81번지부산광역시 중구 중구로29번길 18, 1층 (부평동1가)48978친구네20200507144934U2020-05-09 02:40:00.0한식384744.840973179817.963748한식<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N25.0<NA><NA><NA><NA>
2314423145일반음식점07_24_04_P33500003350000-101-1992-0063719920310<NA>1영업/정상1영업<NA><NA><NA><NA>051 580 036032.00609380부산광역시 금정구 선동 128-2번지부산광역시 금정구 하정로 66 (선동, 외 6필지)46212동래베네스트골프클럽 6티하우스20180411152040I2018-08-31 23:59:59.0분식391138.229423198217.156899분식00기타기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N32.0<NA><NA><NA><NA>
68026803일반음식점07_24_04_P33400003340000-101-2006-0001320060220<NA>1영업/정상1영업<NA><NA><NA><NA>051 203231169.87604851부산광역시 사하구 하단동 504-14번지부산광역시 사하구 낙동남로1423번길 89, 1층 (하단동)49309혼마치20181119113207U2018-11-21 02:37:30.0호프/통닭379158.850975180583.127513호프/통닭00유흥업소밀집지역<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N69.87<NA><NA><NA><NA>
2143921440일반음식점07_24_04_P33900003390000-101-2000-0396220000525<NA>1영업/정상1영업<NA><NA><NA><NA>051 326678186.05617838부산광역시 사상구 주례동 1162-99번지부산광역시 사상구 가야대로282번길 40 (주례동)47012생생마을20160721131357I2018-08-31 23:59:59.0한식382337.680703185167.506817한식00기타기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N86.05<NA><NA><NA><NA>
61886189일반음식점07_24_04_P32900003290000-101-2019-0016020190429<NA>1영업/정상1영업<NA><NA><NA><NA><NA>68.73614740부산광역시 부산진구 전포동 681-11번지 테크노프라자부산광역시 부산진구 전포대로223번길 15, 테크노프라자 B동 1층 109호 (전포동)47293화화정20190429105844I2019-05-01 02:20:35.0기타388033.059779186077.852245기타<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N68.73<NA><NA><NA><NA>
30373038일반음식점07_24_04_P32900003290000-101-2001-0812020010731<NA>1영업/정상1영업<NA><NA><NA><NA><NA>78.53614817부산광역시 부산진구 당감동 289-19번지 (지상1층)부산광역시 부산진구 동평로 100 (당감동,(지상1층))47181고기집(Zip)20160304130045I2018-08-31 23:59:59.0식육(숯불구이)385833.716645187053.753417식육(숯불구이)00기타기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N78.53<NA><NA><NA><NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총종업원수본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지Unnamed: 47
1220112202일반음식점07_24_04_P33500003350000-101-2006-0003020060306<NA>1영업/정상1영업<NA><NA><NA><NA>051 5132754103.79609826부산광역시 금정구 부곡동 332-14번지부산광역시 금정구 동현로16번길 30 (부곡동)46306부곡식당20180710171214I2018-08-31 23:59:59.0한식390165.970238193447.295639한식00<NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N103.79<NA><NA><NA><NA>
84198420일반음식점07_24_04_P32900003290000-101-1984-0474519841123<NA>1영업/정상1영업<NA><NA><NA><NA>051 893713410.50614823부산광역시 부산진구 당감동 764-2번지부산광역시 부산진구 당감서로 103 (당감동)47147동평반점20150806115035I2018-08-31 23:59:59.0중국식385343.763336187374.826996중국식<NA><NA>기타기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N10.5<NA><NA><NA><NA>
1612316124일반음식점07_24_04_P33600003360000-101-2018-0006520180409<NA>1영업/정상1영업<NA><NA><NA><NA><NA>196.56618805부산광역시 강서구 대저1동 750-19번지 3동부산광역시 강서구 대저로197번길 19, 3동 (대저1동)46702(주)부농에프앤에스 홈반점(HOME BAN)20190123152634U2019-01-25 02:40:00.0한식379716.534659192498.146485한식<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N196.56<NA><NA><NA><NA>
87268727일반음식점07_24_04_P33000003300000-101-2007-0014120070917<NA>1영업/정상1영업<NA><NA><NA><NA>051 524 450069.42607810부산광역시 동래구 명장동 154-34번지부산광역시 동래구 안락로125번길 48 (명장동)47785에나막창이랑삼겹이20071009153754I2018-08-31 23:59:59.0한식392210.801777191146.380908한식<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N69.42<NA><NA><NA><NA>
1174311744일반음식점07_24_04_P33300003330000-101-2000-0071020000408<NA>1영업/정상1영업<NA><NA><NA><NA>051 729 9882288.85612848부산광역시 해운대구 중동 1310-18번지부산광역시 해운대구 좌동순환로8번길 16 (중동)48082해닮코다리 해운대점20200406114452U2020-04-08 02:40:00.0분식397500.029962187528.993315분식14기타자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N288.85<NA><NA><NA><NA>
1115911160일반음식점07_24_04_P33200003320000-101-2018-0008220180521<NA>1영업/정상1영업<NA><NA><NA><NA><NA>40.59616805부산광역시 북구 구포동 1219-20번지부산광역시 북구 팽나무로8번길 124, 1층 (구포동)46621야간매점20180611150522I2018-08-31 23:59:59.0분식382657.886481190766.678804분식<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N40.59<NA><NA><NA><NA>
72677268일반음식점07_24_04_P33500003350000-101-2013-0005520130503<NA>1영업/정상1영업<NA><NA><NA><NA><NA>20.91609800부산광역시 금정구 구서동 415-112번지부산광역시 금정구 금정로233번길 39 (구서동)46243양미가20150710174249I2018-08-31 23:59:59.0한식390241.914031196123.048734한식<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N20.91<NA><NA><NA><NA>
1351913520일반음식점07_24_04_P33700003370000-101-2019-0014920190903<NA>1영업/정상1영업<NA><NA><NA><NA><NA>15.13611827부산광역시 연제구 연산동 778-43부산광역시 연제구 월드컵대로19번길 22, 1층 일부호 (연산동)47603친정밥상20201014103051U2020-10-16 02:40:00.0한식390628.803212189429.870484한식<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N15.13<NA><NA><NA><NA>
672673일반음식점07_24_04_P33300003330000-101-2016-0028620160727<NA>1영업/정상1영업<NA><NA><NA><NA><NA>37.31612824부산광역시 해운대구 우동 1435-2번지부산광역시 해운대구 마린시티1로 137, 112호 (우동, 대우월드마크해운대)48118이든레스토랑20180126170303I2018-08-31 23:59:59.0감성주점395553.873163186199.790541감성주점<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N37.31<NA><NA><NA><NA>
1186011861일반음식점07_24_04_P33400003340000-101-2012-0009720120904<NA>1영업/정상1영업<NA><NA><NA><NA>051 2079769<NA>604815부산광역시 사하구 괴정동 835-2번지부산광역시 사하구 낙동대로249번길 25 (괴정동)49380케이 펍(K PUB)20160930131057I2018-08-31 23:59:59.0한식381450.858347179499.489174한식<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA><NA>