Overview

Dataset statistics

Number of variables5
Number of observations29
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.3 KiB
Average record size in memory46.6 B

Variable types

Numeric2
Text2
Categorical1

Dataset

Description경상남도 도내 음식물처리시설 현황입니다. -공공처리시설 및 민간처리시설 -포함 자료 : 업체명(시설명), 소재지, 처리규모
URLhttps://www.data.go.kr/data/15054866/fileData.do

Alerts

단위 has constant value ""Constant
연번 has unique valuesUnique
업체명(시설명) has unique valuesUnique

Reproduction

Analysis started2023-12-12 23:15:27.618986
Analysis finished2023-12-12 23:15:28.362472
Duration0.74 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15
Minimum1
Maximum29
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-13T08:15:28.414440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.4
Q18
median15
Q322
95-th percentile27.6
Maximum29
Range28
Interquartile range (IQR)14

Descriptive statistics

Standard deviation8.5146932
Coefficient of variation (CV)0.56764621
Kurtosis-1.2
Mean15
Median Absolute Deviation (MAD)7
Skewness0
Sum435
Variance72.5
MonotonicityStrictly increasing
2023-12-13T08:15:28.535305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
1 1
 
3.4%
2 1
 
3.4%
29 1
 
3.4%
28 1
 
3.4%
27 1
 
3.4%
26 1
 
3.4%
25 1
 
3.4%
24 1
 
3.4%
23 1
 
3.4%
22 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
1 1
3.4%
2 1
3.4%
3 1
3.4%
4 1
3.4%
5 1
3.4%
6 1
3.4%
7 1
3.4%
8 1
3.4%
9 1
3.4%
10 1
3.4%
ValueCountFrequency (%)
29 1
3.4%
28 1
3.4%
27 1
3.4%
26 1
3.4%
25 1
3.4%
24 1
3.4%
23 1
3.4%
22 1
3.4%
21 1
3.4%
20 1
3.4%

업체명(시설명)
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-13T08:15:28.710266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length15
Mean length8.2068966
Min length2

Characters and Unicode

Total characters238
Distinct characters80
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)100.0%

Sample

1st row창원시 음식물처리시설(신촌1)
2nd row창원시 음식물처리시설(신촌2)
3rd row창원시 음식물처리시설(팔용)
4th row창원시 음식물처리시설(중리)
5th row창원시 음식물처리시설(용담)
ValueCountFrequency (%)
음식물처리시설 7
 
17.1%
창원시 5
 
12.2%
푸른환경 1
 
2.4%
비오투하동 1
 
2.4%
㈜브이앤이 1
 
2.4%
㈜moa 1
 
2.4%
㈜이앤씨 1
 
2.4%
태양 1
 
2.4%
옥토유기질비료영농조합 1
 
2.4%
㈜벧엘기업 1
 
2.4%
Other values (21) 21
51.2%
2023-12-13T08:15:29.031617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 23
 
9.7%
리 14
 
5.9%
12
 
5.0%
음 12
 
5.0%
식 12
 
5.0%
물 12
 
5.0%
처 12
 
5.0%
설 12
 
5.0%
㈜ 8
 
3.4%
) 5
 
2.1%
Other values (70) 116
48.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 203
85.3%
Space Separator 12
 
5.0%
Other Symbol 8
 
3.4%
Close Punctuation 5
 
2.1%
Open Punctuation 5
 
2.1%
Uppercase Letter 3
 
1.3%
Decimal Number 2
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 23
 
11.3%
리 14
 
6.9%
음 12
 
5.9%
식 12
 
5.9%
물 12
 
5.9%
처 12
 
5.9%
설 12
 
5.9%
창 5
 
2.5%
원 5
 
2.5%
비 4
 
2.0%
Other values (61) 92
45.3%
Uppercase Letter
ValueCountFrequency (%)
M 1
33.3%
O 1
33.3%
A 1
33.3%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
2 1
50.0%
Space Separator
ValueCountFrequency (%)
12
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 211
88.7%
Common 24
 
10.1%
Latin 3
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 23
 
10.9%
리 14
 
6.6%
음 12
 
5.7%
식 12
 
5.7%
물 12
 
5.7%
처 12
 
5.7%
설 12
 
5.7%
㈜ 8
 
3.8%
창 5
 
2.4%
원 5
 
2.4%
Other values (62) 96
45.5%
Common
ValueCountFrequency (%)
12
50.0%
) 5
20.8%
( 5
20.8%
1 1
 
4.2%
2 1
 
4.2%
Latin
ValueCountFrequency (%)
M 1
33.3%
O 1
33.3%
A 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 203
85.3%
ASCII 27
 
11.3%
None 8
 
3.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 23
 
11.3%
리 14
 
6.9%
음 12
 
5.9%
식 12
 
5.9%
물 12
 
5.9%
처 12
 
5.9%
설 12
 
5.9%
창 5
 
2.5%
원 5
 
2.5%
비 4
 
2.0%
Other values (61) 92
45.3%
ASCII
ValueCountFrequency (%)
12
44.4%
) 5
18.5%
( 5
18.5%
M 1
 
3.7%
O 1
 
3.7%
A 1
 
3.7%
1 1
 
3.7%
2 1
 
3.7%
None
ValueCountFrequency (%)
㈜ 8
100.0%

소재지
Text

Distinct27
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-13T08:15:29.294987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length28
Mean length23.62069
Min length16

Characters and Unicode

Total characters685
Distinct characters103
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)86.2%

Sample

1st row경상남도 창원시 성산구 창곡로 108번길 8(신촌동 123)
2nd row경상남도 창원시 성산구 창곡로 108번길 8(신촌동 123)
3rd row경상남도 창원시 의창구 차상로 18번길 45(농산물도매시장)
4th row경상남도 창원시 마산회원구 내서읍 유통단지로 53-33
5th row경상남도 창원시 마산회원구 내서읍 수곡로 21-21
ValueCountFrequency (%)
경상남도 29
 
19.6%
창원시 6
 
4.1%
밀양시 4
 
2.7%
진주시 4
 
2.7%
거제시 3
 
2.0%
상남면 3
 
2.0%
김해시 3
 
2.0%
마산회원구 2
 
1.4%
사등면 2
 
1.4%
의창구 2
 
1.4%
Other values (79) 90
60.8%
2023-12-13T08:15:29.651804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
119
 
17.4%
남 38
 
5.5%
상 35
 
5.1%
도 30
 
4.4%
경 29
 
4.2%
시 24
 
3.5%
1 22
 
3.2%
3 19
 
2.8%
길 19
 
2.8%
로 16
 
2.3%
Other values (93) 334
48.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 425
62.0%
Decimal Number 121
 
17.7%
Space Separator 119
 
17.4%
Dash Punctuation 12
 
1.8%
Close Punctuation 4
 
0.6%
Open Punctuation 4
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 38
 
8.9%
상 35
 
8.2%
도 30
 
7.1%
경 29
 
6.8%
시 24
 
5.6%
길 19
 
4.5%
로 16
 
3.8%
면 15
 
3.5%
산 12
 
2.8%
창 11
 
2.6%
Other values (79) 196
46.1%
Decimal Number
ValueCountFrequency (%)
1 22
18.2%
3 19
15.7%
5 14
11.6%
0 14
11.6%
8 13
10.7%
2 12
9.9%
6 10
8.3%
4 6
 
5.0%
7 6
 
5.0%
9 5
 
4.1%
Space Separator
ValueCountFrequency (%)
119
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 425
62.0%
Common 260
38.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 38
 
8.9%
상 35
 
8.2%
도 30
 
7.1%
경 29
 
6.8%
시 24
 
5.6%
길 19
 
4.5%
로 16
 
3.8%
면 15
 
3.5%
산 12
 
2.8%
창 11
 
2.6%
Other values (79) 196
46.1%
Common
ValueCountFrequency (%)
119
45.8%
1 22
 
8.5%
3 19
 
7.3%
5 14
 
5.4%
0 14
 
5.4%
8 13
 
5.0%
2 12
 
4.6%
- 12
 
4.6%
6 10
 
3.8%
4 6
 
2.3%
Other values (4) 19
 
7.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 425
62.0%
ASCII 260
38.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
119
45.8%
1 22
 
8.5%
3 19
 
7.3%
5 14
 
5.4%
0 14
 
5.4%
8 13
 
5.0%
2 12
 
4.6%
- 12
 
4.6%
6 10
 
3.8%
4 6
 
2.3%
Other values (4) 19
 
7.3%
Hangul
ValueCountFrequency (%)
남 38
 
8.9%
상 35
 
8.2%
도 30
 
7.1%
경 29
 
6.8%
시 24
 
5.6%
길 19
 
4.5%
로 16
 
3.8%
면 15
 
3.5%
산 12
 
2.8%
창 11
 
2.6%
Other values (79) 196
46.1%

처리규모
Real number (ℝ)

Distinct19
Distinct (%)65.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean56.141379
Minimum4.8
Maximum150
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-13T08:15:29.767953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.8
5-th percentile7.4
Q114.3
median60
Q385
95-th percentile134
Maximum150
Range145.2
Interquartile range (IQR)70.7

Descriptive statistics

Standard deviation44.319107
Coefficient of variation (CV)0.78941963
Kurtosis-0.75725328
Mean56.141379
Median Absolute Deviation (MAD)40
Skewness0.49792487
Sum1628.1
Variance1964.1832
MonotonicityNot monotonic
2023-12-13T08:15:29.886176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
20.0 4
13.8%
100.0 3
 
10.3%
80.0 3
 
10.3%
10.0 2
 
6.9%
150.0 2
 
6.9%
8.0 2
 
6.9%
65.0 1
 
3.4%
14.3 1
 
3.4%
90.0 1
 
3.4%
4.8 1
 
3.4%
Other values (9) 9
31.0%
ValueCountFrequency (%)
4.8 1
 
3.4%
7.0 1
 
3.4%
8.0 2
6.9%
9.0 1
 
3.4%
10.0 2
6.9%
14.3 1
 
3.4%
20.0 4
13.8%
32.0 1
 
3.4%
40.0 1
 
3.4%
60.0 1
 
3.4%
ValueCountFrequency (%)
150.0 2
6.9%
110.0 1
 
3.4%
100.0 3
10.3%
90.0 1
 
3.4%
85.0 1
 
3.4%
81.3 1
 
3.4%
80.0 3
10.3%
73.7 1
 
3.4%
65.0 1
 
3.4%
60.0 1
 
3.4%

단위
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
톤/일
29 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row톤/일
2nd row톤/일
3rd row톤/일
4th row톤/일
5th row톤/일

Common Values

ValueCountFrequency (%)
톤/일 29
100.0%

Length

2023-12-13T08:15:30.020426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:15:30.104415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
톤/일 29
100.0%

Interactions

2023-12-13T08:15:28.025411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:15:27.823746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:15:28.115458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:15:27.916093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T08:15:30.151025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업체명(시설명)소재지처리규모
연번1.0001.0000.9630.181
업체명(시설명)1.0001.0001.0001.000
소재지0.9631.0001.0001.000
처리규모0.1811.0001.0001.000
2023-12-13T08:15:30.220066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번처리규모
연번1.000-0.244
처리규모-0.2441.000

Missing values

2023-12-13T08:15:28.234187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T08:15:28.327171image/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

연번업체명(시설명)소재지처리규모단위
01창원시 음식물처리시설(신촌1)경상남도 창원시 성산구 창곡로 108번길 8(신촌동 123)100.0톤/일
12창원시 음식물처리시설(신촌2)경상남도 창원시 성산구 창곡로 108번길 8(신촌동 123)100.0톤/일
23창원시 음식물처리시설(팔용)경상남도 창원시 의창구 차상로 18번길 45(농산물도매시장)20.0톤/일
34창원시 음식물처리시설(중리)경상남도 창원시 마산회원구 내서읍 유통단지로 53-3332.0톤/일
45창원시 음식물처리시설(용담)경상남도 창원시 마산회원구 내서읍 수곡로 21-2185.0톤/일
56진주시 음식물처리시설경상남도 진주시 내동면 유수길 75번길63110.0톤/일
67통영시 음식물처리시설경상남도 통영시 평안일주로 1074-5440.0톤/일
78김해시 음식물처리시설경상남도 김해시 진영읍 김해대로 832-68150.0톤/일
89밀양시 음식물처리시설경상남도 밀양시 상남면 기산리 34-220.0톤/일
910거제시 음식물처리시설경상남도 거제시 연초면 한내8길 9580.0톤/일
연번업체명(시설명)소재지처리규모단위
1920청하농산경상남도 밀양시 무안면 무안로 3307.0톤/일
2021부일축산경상남도 밀양시 상남면 상남인산길 55-84.8톤/일
2122㈜벧엘기업경상남도 거제시 사등면 피솔길 9890.0톤/일
2223옥토유기질비료영농조합경상남도 거제시 사등면 지석로 16320.0톤/일
2324태양경상남도 양산시 상북면 오룡길 153-5714.3톤/일
2425㈜이앤씨경상남도 창녕군 대지면 학성세거리길 27080.0톤/일
2526㈜MOA경상남도 고성군 구만면 영회로 2019-5380.0톤/일
2627㈜브이앤이경상남도 남해군 남해읍 에코파크길65-108.0톤/일
2728비오투하동경상남도 하동군 고전면 늘봉길 306100.0톤/일
2829형제영농조합법인경상남도 합천군 초곡3길 6265.0톤/일