Overview

Dataset statistics

Number of variables4
Number of observations24
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory948.0 B
Average record size in memory39.5 B

Variable types

Numeric2
Text2

Dataset

Description경상남도 도내 음식물처리시설 현황입니다.
Author경상남도
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15054866

Alerts

연번 has unique valuesUnique
업체명(시설명) has unique valuesUnique
소재지 has unique valuesUnique

Reproduction

Analysis started2023-12-10 23:13:53.560159
Analysis finished2023-12-10 23:13:54.295553
Duration0.74 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.5
Minimum1
Maximum24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-11T08:13:54.366743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.15
Q16.75
median12.5
Q318.25
95-th percentile22.85
Maximum24
Range23
Interquartile range (IQR)11.5

Descriptive statistics

Standard deviation7.0710678
Coefficient of variation (CV)0.56568542
Kurtosis-1.2
Mean12.5
Median Absolute Deviation (MAD)6
Skewness0
Sum300
Variance50
MonotonicityStrictly increasing
2023-12-11T08:13:54.515005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
1 1
 
4.2%
14 1
 
4.2%
24 1
 
4.2%
23 1
 
4.2%
22 1
 
4.2%
21 1
 
4.2%
20 1
 
4.2%
19 1
 
4.2%
18 1
 
4.2%
17 1
 
4.2%
Other values (14) 14
58.3%
ValueCountFrequency (%)
1 1
4.2%
2 1
4.2%
3 1
4.2%
4 1
4.2%
5 1
4.2%
6 1
4.2%
7 1
4.2%
8 1
4.2%
9 1
4.2%
10 1
4.2%
ValueCountFrequency (%)
24 1
4.2%
23 1
4.2%
22 1
4.2%
21 1
4.2%
20 1
4.2%
19 1
4.2%
18 1
4.2%
17 1
4.2%
16 1
4.2%
15 1
4.2%

업체명(시설명)
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-11T08:13:54.739971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length11
Mean length9.2083333
Min length2

Characters and Unicode

Total characters221
Distinct characters69
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)100.0%

Sample

1st row창원시 음식물처리시설(신촌)
2nd row창원시 음식물처리시설(팔용)
3rd row창원시 음식물처리시설(중리)
4th row창원시 음식물처리시설(용담)
5th row창원시 음식물처리시설(행암)
ValueCountFrequency (%)
음식물처리시설 7
19.4%
창원시 5
 
13.9%
태양비료 1
 
2.8%
㈜비오투하동 1
 
2.8%
주)moa 1
 
2.8%
자연 1
 
2.8%
주)이앤씨 1
 
2.8%
옥토유기질영농조합법인 1
 
2.8%
벧엘기업 1
 
2.8%
주)삼림 1
 
2.8%
Other values (16) 16
44.4%
2023-12-11T08:13:55.119441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 23
 
10.4%
리 13
 
5.9%
12
 
5.4%
음 12
 
5.4%
식 12
 
5.4%
물 12
 
5.4%
처 12
 
5.4%
설 12
 
5.4%
) 11
 
5.0%
( 11
 
5.0%
Other values (59) 91
41.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 183
82.8%
Space Separator 12
 
5.4%
Close Punctuation 11
 
5.0%
Open Punctuation 11
 
5.0%
Uppercase Letter 3
 
1.4%
Other Symbol 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 23
 
12.6%
리 13
 
7.1%
음 12
 
6.6%
식 12
 
6.6%
물 12
 
6.6%
처 12
 
6.6%
설 12
 
6.6%
주 7
 
3.8%
원 5
 
2.7%
창 5
 
2.7%
Other values (52) 70
38.3%
Uppercase Letter
ValueCountFrequency (%)
M 1
33.3%
O 1
33.3%
A 1
33.3%
Space Separator
ValueCountFrequency (%)
12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 184
83.3%
Common 34
 
15.4%
Latin 3
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 23
 
12.5%
리 13
 
7.1%
음 12
 
6.5%
식 12
 
6.5%
물 12
 
6.5%
처 12
 
6.5%
설 12
 
6.5%
주 7
 
3.8%
원 5
 
2.7%
창 5
 
2.7%
Other values (53) 71
38.6%
Common
ValueCountFrequency (%)
12
35.3%
) 11
32.4%
( 11
32.4%
Latin
ValueCountFrequency (%)
M 1
33.3%
O 1
33.3%
A 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 183
82.8%
ASCII 37
 
16.7%
None 1
 
0.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 23
 
12.6%
리 13
 
7.1%
음 12
 
6.6%
식 12
 
6.6%
물 12
 
6.6%
처 12
 
6.6%
설 12
 
6.6%
주 7
 
3.8%
원 5
 
2.7%
창 5
 
2.7%
Other values (52) 70
38.3%
ASCII
ValueCountFrequency (%)
12
32.4%
) 11
29.7%
( 11
29.7%
M 1
 
2.7%
O 1
 
2.7%
A 1
 
2.7%
None
ValueCountFrequency (%)
㈜ 1
100.0%

소재지
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-11T08:13:55.372444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length26
Mean length22.5
Min length15

Characters and Unicode

Total characters540
Distinct characters94
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

Unique24 ?
Unique (%)100.0%

Sample

1st row경상남도 창원시 성산구 창곡로 108번길 8(신촌동 123)
2nd row경상남도 창원시 의창구 차상로 18번길 45(농산물도매시장)
3rd row경상남도 창원시 마산회원구 내서읍 유통단지로 53-33
4th row경상남도 창원시 마산회원구 내서읍 수곡로 21-21
5th row경상남도 창원시 진해구 진해대로 1114번길93
ValueCountFrequency (%)
경상남도 24
 
20.2%
창원시 6
 
5.0%
김해시 4
 
3.4%
거제시 3
 
2.5%
진주시 2
 
1.7%
창녕군 2
 
1.7%
대지면 2
 
1.7%
마산회원구 2
 
1.7%
내서읍 2
 
1.7%
의창구 2
 
1.7%
Other values (70) 70
58.8%
2023-12-11T08:13:55.784897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
95
 
17.6%
남 28
 
5.2%
상 26
 
4.8%
경 25
 
4.6%
도 25
 
4.6%
1 23
 
4.3%
시 19
 
3.5%
길 18
 
3.3%
3 15
 
2.8%
6 12
 
2.2%
Other values (84) 254
47.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 333
61.7%
Decimal Number 99
 
18.3%
Space Separator 95
 
17.6%
Dash Punctuation 9
 
1.7%
Open Punctuation 2
 
0.4%
Close Punctuation 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 28
 
8.4%
상 26
 
7.8%
경 25
 
7.5%
도 25
 
7.5%
시 19
 
5.7%
길 18
 
5.4%
로 12
 
3.6%
창 11
 
3.3%
해 9
 
2.7%
산 8
 
2.4%
Other values (70) 152
45.6%
Decimal Number
ValueCountFrequency (%)
1 23
23.2%
3 15
15.2%
6 12
12.1%
2 10
10.1%
8 9
 
9.1%
5 9
 
9.1%
0 6
 
6.1%
7 5
 
5.1%
9 5
 
5.1%
4 5
 
5.1%
Space Separator
ValueCountFrequency (%)
95
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 333
61.7%
Common 207
38.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 28
 
8.4%
상 26
 
7.8%
경 25
 
7.5%
도 25
 
7.5%
시 19
 
5.7%
길 18
 
5.4%
로 12
 
3.6%
창 11
 
3.3%
해 9
 
2.7%
산 8
 
2.4%
Other values (70) 152
45.6%
Common
ValueCountFrequency (%)
95
45.9%
1 23
 
11.1%
3 15
 
7.2%
6 12
 
5.8%
2 10
 
4.8%
8 9
 
4.3%
- 9
 
4.3%
5 9
 
4.3%
0 6
 
2.9%
7 5
 
2.4%
Other values (4) 14
 
6.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 333
61.7%
ASCII 207
38.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
95
45.9%
1 23
 
11.1%
3 15
 
7.2%
6 12
 
5.8%
2 10
 
4.8%
8 9
 
4.3%
- 9
 
4.3%
5 9
 
4.3%
0 6
 
2.9%
7 5
 
2.4%
Other values (4) 14
 
6.8%
Hangul
ValueCountFrequency (%)
남 28
 
8.4%
상 26
 
7.8%
경 25
 
7.5%
도 25
 
7.5%
시 19
 
5.7%
길 18
 
5.4%
로 12
 
3.6%
창 11
 
3.3%
해 9
 
2.7%
산 8
 
2.4%
Other values (70) 152
45.6%

처리규모(톤/일)
Real number (ℝ)

Distinct17
Distinct (%)70.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean62.179167
Minimum0.3
Maximum150
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-11T08:13:55.905483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.3
5-th percentile8.3
Q120
median62.5
Q382.225
95-th percentile144
Maximum150
Range149.7
Interquartile range (IQR)62.225

Descriptive statistics

Standard deviation41.691673
Coefficient of variation (CV)0.67050872
Kurtosis-0.20578205
Mean62.179167
Median Absolute Deviation (MAD)29
Skewness0.4519577
Sum1492.3
Variance1738.1956
MonotonicityNot monotonic
2023-12-11T08:13:56.014863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
80.0 3
12.5%
20.0 3
12.5%
50.0 2
 
8.3%
150.0 2
 
8.3%
60.0 2
 
8.3%
100.0 1
 
4.2%
81.3 1
 
4.2%
65.0 1
 
4.2%
0.3 1
 
4.2%
17.0 1
 
4.2%
Other values (7) 7
29.2%
ValueCountFrequency (%)
0.3 1
 
4.2%
8.0 1
 
4.2%
10.0 1
 
4.2%
17.0 1
 
4.2%
20.0 3
12.5%
32.0 1
 
4.2%
50.0 2
8.3%
60.0 2
8.3%
65.0 1
 
4.2%
73.7 1
 
4.2%
ValueCountFrequency (%)
150.0 2
8.3%
110.0 1
 
4.2%
100.0 1
 
4.2%
90.0 1
 
4.2%
85.0 1
 
4.2%
81.3 1
 
4.2%
80.0 3
12.5%
73.7 1
 
4.2%
65.0 1
 
4.2%
60.0 2
8.3%

Interactions

2023-12-11T08:13:53.969010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:13:53.767666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:13:54.057563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:13:53.868508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T08:13:56.100897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업체명(시설명)소재지처리규모(톤/일)
연번1.0001.0001.0000.000
업체명(시설명)1.0001.0001.0001.000
소재지1.0001.0001.0001.000
처리규모(톤/일)0.0001.0001.0001.000
2023-12-11T08:13:56.194277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번처리규모(톤/일)
연번1.000-0.115
처리규모(톤/일)-0.1151.000

Missing values

2023-12-11T08:13:54.177150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:13:54.261777image/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)소재지처리규모(톤/일)
01창원시 음식물처리시설(신촌)경상남도 창원시 성산구 창곡로 108번길 8(신촌동 123)100.0
12창원시 음식물처리시설(팔용)경상남도 창원시 의창구 차상로 18번길 45(농산물도매시장)20.0
23창원시 음식물처리시설(중리)경상남도 창원시 마산회원구 내서읍 유통단지로 53-3332.0
34창원시 음식물처리시설(용담)경상남도 창원시 마산회원구 내서읍 수곡로 21-2185.0
45창원시 음식물처리시설(행암)경상남도 창원시 진해구 진해대로 1114번길9350.0
56진주시 음식물처리시설경상남도 진주시 내동면 유수길 75번길63110.0
67사천시 음식물처리시설경상남도 사천시 환경길 5520.0
78김해시 음식물처리시설경상남도 김해시 진영읍 김해대로 832-68150.0
89밀양시 음식물처리시설경상남도 밀양시 상남면 기산리 34-220.0
910거제시 음식물처리시설경상남도 거제시 연초면 한내8길 9580.0
연번업체명(시설명)소재지처리규모(톤/일)
1415(주)자연경상남도 김해시 나전로 137번길 6150.0
1516(주)정토경상남도 김해시 본산1로 56번길 4281.3
1617(주)삼림경상남도 김해시 생림대로 668번길 17-150.0
1718벧엘기업경상남도 거제시 피솔길 19390.0
1819옥토유기질영농조합법인경상남도 거제시 사동면 지석로 16317.0
1920(주)이앤씨경상남도 창녕군 대지면 학성세거리길 27080.0
2021자연경상남도 창녕군 대지면 미락귀동길 46-1860.0
2122(주)MOA경상남도 고성군 영회로 2019-5380.0
2223㈜비오투하동경상남도 하동군 고전면 늘봉길 3060.3
2324형제영농조합법인경상남도 합천군 초곡3길 6265.0