Overview

Dataset statistics

Number of variables8
Number of observations81
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.3 KiB
Average record size in memory67.6 B

Variable types

Text2
DateTime2
Categorical3
Numeric1

Dataset

Description부산광역시 사상구 관내 음식물류 폐기물 다량배출사업장(다량배출사업장 종류, 다량배출 업소명, 소재지) 현황을 제공합니다.
Author부산광역시 사상구
URLhttps://www.data.go.kr/data/15025700/fileData.do

Alerts

업소객실수 has constant value ""Constant
관리기관명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
업소구분 is highly imbalanced (67.9%)Imbalance
상호명 has unique valuesUnique

Reproduction

Analysis started2024-03-14 13:58:48.677843
Analysis finished2024-03-14 13:58:50.260640
Duration1.58 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

상호명
Text

UNIQUE 

Distinct81
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size776.0 B
2024-03-14T22:58:51.099322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length21
Mean length9.2716049
Min length4

Characters and Unicode

Total characters751
Distinct characters182
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique81 ?
Unique (%)100.0%

Sample

1st row금강화학(호성식품)
2nd row덕포한샘유치원
3rd row신라대미대식당
4th row삼성웰스토리㈜ 신라대기숙사
5th row부산산업용재유통상가
ValueCountFrequency (%)
의료법인 3
 
2.6%
㈜주원 3
 
2.6%
그린푸드서비스 2
 
1.7%
주현의료재단 2
 
1.7%
금강화학(호성식품 1
 
0.9%
정민전자 1
 
0.9%
사상중앙병원 1
 
0.9%
부산시립정신병원 1
 
0.9%
엄궁중학교 1
 
0.9%
첨단신발융합허브센터점 1
 
0.9%
Other values (101) 101
86.3%
2024-03-14T22:58:52.544259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
학 43
 
5.7%
교 37
 
4.9%
36
 
4.8%
등 24
 
3.2%
원 23
 
3.1%
초 20
 
2.7%
병 15
 
2.0%
주 15
 
2.0%
대 14
 
1.9%
㈜ 14
 
1.9%
Other values (172) 510
67.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 687
91.5%
Space Separator 36
 
4.8%
Other Symbol 14
 
1.9%
Open Punctuation 4
 
0.5%
Close Punctuation 4
 
0.5%
Lowercase Letter 3
 
0.4%
Uppercase Letter 2
 
0.3%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 43
 
6.3%
교 37
 
5.4%
등 24
 
3.5%
원 23
 
3.3%
초 20
 
2.9%
병 15
 
2.2%
주 15
 
2.2%
대 14
 
2.0%
산 13
 
1.9%
중 12
 
1.7%
Other values (162) 471
68.6%
Lowercase Letter
ValueCountFrequency (%)
t 1
33.3%
i 1
33.3%
m 1
33.3%
Uppercase Letter
ValueCountFrequency (%)
G 1
50.0%
L 1
50.0%
Space Separator
ValueCountFrequency (%)
36
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 701
93.3%
Common 45
 
6.0%
Latin 5
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 43
 
6.1%
교 37
 
5.3%
등 24
 
3.4%
원 23
 
3.3%
초 20
 
2.9%
병 15
 
2.1%
주 15
 
2.1%
대 14
 
2.0%
㈜ 14
 
2.0%
산 13
 
1.9%
Other values (163) 483
68.9%
Latin
ValueCountFrequency (%)
t 1
20.0%
i 1
20.0%
m 1
20.0%
G 1
20.0%
L 1
20.0%
Common
ValueCountFrequency (%)
36
80.0%
( 4
 
8.9%
) 4
 
8.9%
2 1
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 687
91.5%
ASCII 50
 
6.7%
None 14
 
1.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
학 43
 
6.3%
교 37
 
5.4%
등 24
 
3.5%
원 23
 
3.3%
초 20
 
2.9%
병 15
 
2.2%
주 15
 
2.2%
대 14
 
2.0%
산 13
 
1.9%
중 12
 
1.7%
Other values (162) 471
68.6%
ASCII
ValueCountFrequency (%)
36
72.0%
( 4
 
8.0%
) 4
 
8.0%
t 1
 
2.0%
i 1
 
2.0%
m 1
 
2.0%
2 1
 
2.0%
G 1
 
2.0%
L 1
 
2.0%
None
ValueCountFrequency (%)
㈜ 14
100.0%

신고일자
Date

Distinct54
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Memory size776.0 B
Minimum1998-01-03 00:00:00
Maximum2024-02-01 00:00:00
2024-03-14T22:58:52.947042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:58:53.349999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

소재지도로명주소
Text

Distinct79
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Memory size776.0 B
2024-03-14T22:58:54.290513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length29
Mean length25.098765
Min length20

Characters and Unicode

Total characters2033
Distinct characters83
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique77 ?
Unique (%)95.1%

Sample

1st row부산광역시 사상구 낙동대로 1472(삼락동)
2nd row부산광역시 사상구 덕상로 39(덕포동)
3rd row부산광역시 사상구 백양대로 700번길 140(괘법동)
4th row부산광역시 사상구 백양대로 700번길140(괘법동) 신라대학교글로벌기숙사1층 식당
5th row부산광역시 사상구 새벽로 131(감전동) 2동 2층
ValueCountFrequency (%)
부산광역시 81
23.1%
사상구 81
23.1%
백양대로 11
 
3.1%
주례로 7
 
2.0%
사상로 7
 
2.0%
가야대로 7
 
2.0%
학감대로 6
 
1.7%
낙동대로 5
 
1.4%
대동로 5
 
1.4%
모라로 4
 
1.1%
Other values (124) 136
38.9%
2024-03-14T22:58:55.652712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
269
 
13.2%
동 98
 
4.8%
상 91
 
4.5%
사 90
 
4.4%
로 83
 
4.1%
산 83
 
4.1%
부 82
 
4.0%
광 82
 
4.0%
시 81
 
4.0%
구 81
 
4.0%
Other values (73) 993
48.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1285
63.2%
Decimal Number 310
 
15.2%
Space Separator 269
 
13.2%
Open Punctuation 81
 
4.0%
Close Punctuation 80
 
3.9%
Dash Punctuation 7
 
0.3%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 98
 
7.6%
상 91
 
7.1%
사 90
 
7.0%
로 83
 
6.5%
산 83
 
6.5%
부 82
 
6.4%
광 82
 
6.4%
시 81
 
6.3%
구 81
 
6.3%
역 81
 
6.3%
Other values (58) 433
33.7%
Decimal Number
ValueCountFrequency (%)
1 53
17.1%
2 39
12.6%
3 35
11.3%
0 32
10.3%
5 30
9.7%
4 27
8.7%
7 27
8.7%
6 26
8.4%
9 21
 
6.8%
8 20
 
6.5%
Space Separator
ValueCountFrequency (%)
269
100.0%
Open Punctuation
ValueCountFrequency (%)
( 81
100.0%
Close Punctuation
ValueCountFrequency (%)
) 80
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Uppercase Letter
ValueCountFrequency (%)
F 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1285
63.2%
Common 747
36.7%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 98
 
7.6%
상 91
 
7.1%
사 90
 
7.0%
로 83
 
6.5%
산 83
 
6.5%
부 82
 
6.4%
광 82
 
6.4%
시 81
 
6.3%
구 81
 
6.3%
역 81
 
6.3%
Other values (58) 433
33.7%
Common
ValueCountFrequency (%)
269
36.0%
( 81
 
10.8%
) 80
 
10.7%
1 53
 
7.1%
2 39
 
5.2%
3 35
 
4.7%
0 32
 
4.3%
5 30
 
4.0%
4 27
 
3.6%
7 27
 
3.6%
Other values (4) 74
 
9.9%
Latin
ValueCountFrequency (%)
F 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1285
63.2%
ASCII 748
36.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
269
36.0%
( 81
 
10.8%
) 80
 
10.7%
1 53
 
7.1%
2 39
 
5.2%
3 35
 
4.7%
0 32
 
4.3%
5 30
 
4.0%
4 27
 
3.6%
7 27
 
3.6%
Other values (5) 75
 
10.0%
Hangul
ValueCountFrequency (%)
동 98
 
7.6%
상 91
 
7.1%
사 90
 
7.0%
로 83
 
6.5%
산 83
 
6.5%
부 82
 
6.4%
광 82
 
6.4%
시 81
 
6.3%
구 81
 
6.3%
역 81
 
6.3%
Other values (58) 433
33.7%

업소구분
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size776.0 B
집단급식소
74 
대규모점포
 
4
음식점
 
3

Length

Max length5
Median length5
Mean length4.9259259
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row집단급식소
2nd row집단급식소
3rd row집단급식소
4th row집단급식소
5th row대규모점포

Common Values

ValueCountFrequency (%)
집단급식소 74
91.4%
대규모점포 4
 
4.9%
음식점 3
 
3.7%

Length

2024-03-14T22:58:56.089797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T22:58:56.446933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
집단급식소 74
91.4%
대규모점포 4
 
4.9%
음식점 3
 
3.7%

업소객실수
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size776.0 B
0
81 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 81
100.0%

Length

2024-03-14T22:58:56.790106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T22:58:57.094192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 81
100.0%

배출량
Real number (ℝ)

Distinct35
Distinct (%)43.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1274.0741
Minimum60
Maximum4000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size857.0 B
2024-03-14T22:58:57.415693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum60
5-th percentile130
Q1660
median1000
Q31600
95-th percentile3600
Maximum4000
Range3940
Interquartile range (IQR)940

Descriptive statistics

Standard deviation939.45167
Coefficient of variation (CV)0.73736032
Kurtosis1.4656075
Mean1274.0741
Median Absolute Deviation (MAD)500
Skewness1.2811024
Sum103200
Variance882569.44
MonotonicityNot monotonic
2024-03-14T22:58:57.846446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
1200 9
 
11.1%
1000 9
 
11.1%
1600 5
 
6.2%
2400 4
 
4.9%
1500 4
 
4.9%
800 4
 
4.9%
1800 3
 
3.7%
100 3
 
3.7%
400 3
 
3.7%
300 3
 
3.7%
Other values (25) 34
42.0%
ValueCountFrequency (%)
60 1
 
1.2%
100 3
3.7%
130 1
 
1.2%
150 1
 
1.2%
250 2
2.5%
300 3
3.7%
400 3
3.7%
430 1
 
1.2%
500 2
2.5%
600 3
3.7%
ValueCountFrequency (%)
4000 1
 
1.2%
3980 1
 
1.2%
3800 2
2.5%
3600 1
 
1.2%
3000 1
 
1.2%
2750 1
 
1.2%
2600 1
 
1.2%
2400 4
4.9%
2300 1
 
1.2%
2000 1
 
1.2%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size776.0 B
부산광역시 사상구청
81 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row부산광역시 사상구청
2nd row부산광역시 사상구청
3rd row부산광역시 사상구청
4th row부산광역시 사상구청
5th row부산광역시 사상구청

Common Values

ValueCountFrequency (%)
부산광역시 사상구청 81
100.0%

Length

2024-03-14T22:58:58.249813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T22:58:58.556875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산광역시 81
50.0%
사상구청 81
50.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size776.0 B
Minimum2024-02-13 00:00:00
Maximum2024-02-13 00:00:00
2024-03-14T22:58:58.978965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:58:59.135050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-14T22:58:49.308524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T22:58:59.262684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
상호명신고일자소재지도로명주소업소구분배출량
상호명1.0001.0001.0001.0001.000
신고일자1.0001.0000.9970.8420.925
소재지도로명주소1.0000.9971.0001.0000.865
업소구분1.0000.8421.0001.0000.000
배출량1.0000.9250.8650.0001.000
2024-03-14T22:58:59.426378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
배출량업소구분
배출량1.0000.000
업소구분0.0001.000

Missing values

2024-03-14T22:58:49.680650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T22:58:50.095164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

상호명신고일자소재지도로명주소업소구분업소객실수배출량관리기관명데이터기준일자
0금강화학(호성식품)2009-04-14부산광역시 사상구 낙동대로 1472(삼락동)집단급식소0750부산광역시 사상구청2024-02-13
1덕포한샘유치원2005-08-22부산광역시 사상구 덕상로 39(덕포동)집단급식소0150부산광역시 사상구청2024-02-13
2신라대미대식당2007-04-06부산광역시 사상구 백양대로 700번길 140(괘법동)집단급식소01500부산광역시 사상구청2024-02-13
3삼성웰스토리㈜ 신라대기숙사2010-04-01부산광역시 사상구 백양대로 700번길140(괘법동) 신라대학교글로벌기숙사1층 식당집단급식소01800부산광역시 사상구청2024-02-13
4부산산업용재유통상가1998-10-07부산광역시 사상구 새벽로 131(감전동) 2동 2층대규모점포0100부산광역시 사상구청2024-02-13
5㈜현대그린푸드(감전)기아차지점1998-02-07부산광역시 사상구 가야대로 141(감전동)집단급식소0400부산광역시 사상구청2024-02-13
6㈜아워홈 LG유플러스부산교환국사점2007-02-13부산광역시 사상구 감전천로 216(감전동)집단급식소01500부산광역시 사상구청2024-02-13
7㈜주원 동서대교직원식당2008-03-12부산광역시 사상구 주례로 47(주례동) 밀레니엄관 15층집단급식소0940부산광역시 사상구청2024-02-13
8㈜주원 디지털대점2008-10-07부산광역시 사상구 주례로 57(주례동)집단급식소01600부산광역시 사상구청2024-02-13
9㈜주원 동서대 글로벌빌리지점2021-03-16부산광역시 사상구 주례로 47 글로벌빌리지(주례동)집단급식소0300부산광역시 사상구청2024-02-13
상호명신고일자소재지도로명주소업소구분업소객실수배출량관리기관명데이터기준일자
71대덕여자고등학교2019-07-05부산광역시 사상구 백양대로 804번길 42-55(덕포동)집단급식소03600부산광역시 사상구청2024-02-13
72큰솔2병원2019-08-19부산광역시 사상구 학장로 189(학장동)집단급식소02400부산광역시 사상구청2024-02-13
73(주 )아워홈 조광페인트 부산점2020-03-04부산광역시 사상구 삼덕로 5번길 148(삼락동)집단급식소0750부산광역시 사상구청2024-02-13
74㈜가내찬 아이리2020-10-19부산광역시 사상구 가야대로 196번길 28(학장동)집단급식소0800부산광역시 사상구청2024-02-13
75㈜지씨에스 부산위생사업소 식당점2021-07-12부산광역시 사상구 낙동대로 943번길157 (감전동)부산환경공단 위생사업소 식당동집단급식소01600부산광역시 사상구청2024-02-13
76학장성심요양병원2021-07-27부산광역시 사상구 대동로 159번길 9 (학장동)집단급식소02600부산광역시 사상구청2024-02-13
77㈜가람에프엔비 내가 대한고기다 부산사상 직영점2021-08-18부산광역시 사상구 학감대로 252(감전동) 2층음식점01000부산광역시 사상구청2024-02-13
78동문식품 대성공업사점2021-12-06부산광역시 사상구 낙동대로 1318번길 67 (삼락동집단급식소01100부산광역시 사상구청2024-02-13
79의료법인 나라의료재단 스마트나라요양병원2023-03-21부산광역시 사상구 낙동대로 1026(감전동)집단급식소03980부산광역시 사상구청2024-02-13
80㈜호성식품 에스엠이앤지2024-02-01부산광역시 사상구 낙동대로1302번길 46(삼락동)집단급식소0900부산광역시 사상구청2024-02-13