Overview

Dataset statistics

Number of variables5
Number of observations60
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.5 KiB
Average record size in memory43.2 B

Variable types

Numeric1
Categorical1
Text3

Dataset

Description경상남도 내 농산물산지유통센터(APC) 현황입니다. 농산물 산지유통센터의 사업장주소, 주요 취급품목 등에 관한 정보를 제공합니다.
URLhttps://www.data.go.kr/data/3080988/fileData.do

Alerts

관리번호 is highly overall correlated with 시군명High correlation
시군명 is highly overall correlated with 관리번호High correlation
관리번호 has unique valuesUnique
사업장 소재지 has unique valuesUnique

Reproduction

Analysis started2023-12-12 07:26:41.997482
Analysis finished2023-12-12 07:26:42.658803
Duration0.66 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

관리번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct60
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.5
Minimum1
Maximum60
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-12T16:26:42.755390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.95
Q115.75
median30.5
Q345.25
95-th percentile57.05
Maximum60
Range59
Interquartile range (IQR)29.5

Descriptive statistics

Standard deviation17.464249
Coefficient of variation (CV)0.57259833
Kurtosis-1.2
Mean30.5
Median Absolute Deviation (MAD)15
Skewness0
Sum1830
Variance305
MonotonicityStrictly increasing
2023-12-12T16:26:42.935420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.7%
32 1
 
1.7%
34 1
 
1.7%
35 1
 
1.7%
36 1
 
1.7%
37 1
 
1.7%
38 1
 
1.7%
39 1
 
1.7%
40 1
 
1.7%
41 1
 
1.7%
Other values (50) 50
83.3%
ValueCountFrequency (%)
1 1
1.7%
2 1
1.7%
3 1
1.7%
4 1
1.7%
5 1
1.7%
6 1
1.7%
7 1
1.7%
8 1
1.7%
9 1
1.7%
10 1
1.7%
ValueCountFrequency (%)
60 1
1.7%
59 1
1.7%
58 1
1.7%
57 1
1.7%
56 1
1.7%
55 1
1.7%
54 1
1.7%
53 1
1.7%
52 1
1.7%
51 1
1.7%

시군명
Categorical

HIGH CORRELATION 

Distinct14
Distinct (%)23.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
밀양시
거창군
합천군
남해군
진주시
Other values (9)
28 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique1 ?
Unique (%)1.7%

Sample

1st row창원시
2nd row창원시
3rd row창원시
4th row창원시
5th row진주시

Common Values

ValueCountFrequency (%)
밀양시 7
11.7%
거창군 7
11.7%
합천군 7
11.7%
남해군 6
10.0%
진주시 5
8.3%
김해시 5
8.3%
창원시 4
6.7%
창녕군 4
6.7%
함양군 4
6.7%
사천시 3
 
5.0%
Other values (4) 8
13.3%

Length

2023-12-12T16:26:43.099722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
밀양시 7
11.7%
거창군 7
11.7%
합천군 7
11.7%
남해군 6
10.0%
진주시 5
8.3%
김해시 5
8.3%
창원시 4
6.7%
창녕군 4
6.7%
함양군 4
6.7%
사천시 3
 
5.0%
Other values (4) 8
13.3%
Distinct58
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
2023-12-12T16:26:43.371279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length4
Mean length5.3833333
Min length4

Characters and Unicode

Total characters323
Distinct characters93
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique56 ?
Unique (%)93.3%

Sample

1st row동읍농협
2nd row대산농협
3rd row북창원농협
4th row창원친환경영농조합법인
5th row중부농협
ValueCountFrequency (%)
가야농협 2
 
3.3%
밀양농협 2
 
3.3%
덕곡영농법인 1
 
1.6%
야로농협 1
 
1.6%
합천새남부쌍백농협 1
 
1.6%
동읍농협 1
 
1.6%
우포농협 1
 
1.6%
새남해농협 1
 
1.6%
남해보물섬마늘영농법인 1
 
1.6%
동남해농협 1
 
1.6%
Other values (49) 49
80.3%
2023-12-12T16:26:43.780432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
58
 
18.0%
49
 
15.2%
12
 
3.7%
12
 
3.7%
10
 
3.1%
8
 
2.5%
8
 
2.5%
8
 
2.5%
7
 
2.2%
6
 
1.9%
Other values (83) 145
44.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 312
96.6%
Close Punctuation 4
 
1.2%
Open Punctuation 4
 
1.2%
Space Separator 1
 
0.3%
Other Punctuation 1
 
0.3%
Other Symbol 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
58
18.6%
49
 
15.7%
12
 
3.8%
12
 
3.8%
10
 
3.2%
8
 
2.6%
8
 
2.6%
8
 
2.6%
7
 
2.2%
6
 
1.9%
Other values (78) 134
42.9%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 313
96.9%
Common 10
 
3.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
58
18.5%
49
 
15.7%
12
 
3.8%
12
 
3.8%
10
 
3.2%
8
 
2.6%
8
 
2.6%
8
 
2.6%
7
 
2.2%
6
 
1.9%
Other values (79) 135
43.1%
Common
ValueCountFrequency (%)
) 4
40.0%
( 4
40.0%
1
 
10.0%
. 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 312
96.6%
ASCII 10
 
3.1%
None 1
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
58
18.6%
49
 
15.7%
12
 
3.8%
12
 
3.8%
10
 
3.2%
8
 
2.6%
8
 
2.6%
8
 
2.6%
7
 
2.2%
6
 
1.9%
Other values (78) 134
42.9%
ASCII
ValueCountFrequency (%)
) 4
40.0%
( 4
40.0%
1
 
10.0%
. 1
 
10.0%
None
ValueCountFrequency (%)
1
100.0%

사업장 소재지
Text

UNIQUE 

Distinct60
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
2023-12-12T16:26:44.097991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length31
Mean length27.316667
Min length23

Characters and Unicode

Total characters1639
Distinct characters147
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique60 ?
Unique (%)100.0%

Sample

1st row창원시 의창구 동읍로 1063(봉곡리 377)
2nd row창원시 의창구 대산면 진산대로 506번길 2 (가술리 1)
3rd row창원시 의창구 북면 신촌본포로 56(신촌리 1663-2)
4th row창원시 의창구 동읍 가술산남로 316(산남리 588-1)
5th row진주시 집현면 향양로 30(덕오리 397번지)
ValueCountFrequency (%)
밀양시 7
 
2.2%
합천군 7
 
2.2%
남해군 6
 
1.9%
거창군 6
 
1.9%
김해시 5
 
1.6%
진주시 5
 
1.6%
창원시 4
 
1.3%
함양군 4
 
1.3%
의창구 4
 
1.3%
창녕군 4
 
1.3%
Other values (244) 265
83.6%
2023-12-12T16:26:44.795477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
273
 
16.7%
1 93
 
5.7%
) 60
 
3.7%
( 60
 
3.7%
59
 
3.6%
54
 
3.3%
3 49
 
3.0%
2 47
 
2.9%
44
 
2.7%
- 43
 
2.6%
Other values (137) 857
52.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 780
47.6%
Decimal Number 422
25.7%
Space Separator 273
 
16.7%
Close Punctuation 60
 
3.7%
Open Punctuation 60
 
3.7%
Dash Punctuation 43
 
2.6%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
59
 
7.6%
54
 
6.9%
44
 
5.6%
35
 
4.5%
26
 
3.3%
25
 
3.2%
23
 
2.9%
22
 
2.8%
20
 
2.6%
19
 
2.4%
Other values (122) 453
58.1%
Decimal Number
ValueCountFrequency (%)
1 93
22.0%
3 49
11.6%
2 47
11.1%
4 38
9.0%
5 37
 
8.8%
0 37
 
8.8%
6 34
 
8.1%
8 32
 
7.6%
7 31
 
7.3%
9 24
 
5.7%
Space Separator
ValueCountFrequency (%)
273
100.0%
Close Punctuation
ValueCountFrequency (%)
) 60
100.0%
Open Punctuation
ValueCountFrequency (%)
( 60
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 43
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 859
52.4%
Hangul 780
47.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
59
 
7.6%
54
 
6.9%
44
 
5.6%
35
 
4.5%
26
 
3.3%
25
 
3.2%
23
 
2.9%
22
 
2.8%
20
 
2.6%
19
 
2.4%
Other values (122) 453
58.1%
Common
ValueCountFrequency (%)
273
31.8%
1 93
 
10.8%
) 60
 
7.0%
( 60
 
7.0%
3 49
 
5.7%
2 47
 
5.5%
- 43
 
5.0%
4 38
 
4.4%
5 37
 
4.3%
0 37
 
4.3%
Other values (5) 122
14.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 859
52.4%
Hangul 780
47.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
273
31.8%
1 93
 
10.8%
) 60
 
7.0%
( 60
 
7.0%
3 49
 
5.7%
2 47
 
5.5%
- 43
 
5.0%
4 38
 
4.4%
5 37
 
4.3%
0 37
 
4.3%
Other values (5) 122
14.2%
Hangul
ValueCountFrequency (%)
59
 
7.6%
54
 
6.9%
44
 
5.6%
35
 
4.5%
26
 
3.3%
25
 
3.2%
23
 
2.9%
22
 
2.8%
20
 
2.6%
19
 
2.4%
Other values (122) 453
58.1%
Distinct55
Distinct (%)91.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
2023-12-12T16:26:45.210854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length8.45
Min length2

Characters and Unicode

Total characters507
Distinct characters65
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique51 ?
Unique (%)85.0%

Sample

1st row단감, 풋고추, 가지
2nd row수박, 파프리카, 토마토
3rd row단감
4th row고추, 엽채류
5th row꽈리고추, 풋고추, 애호박
ValueCountFrequency (%)
양파 20
13.6%
딸기 15
 
10.2%
단감 13
 
8.8%
마늘 11
 
7.5%
사과 11
 
7.5%
감자 6
 
4.1%
토마토 6
 
4.1%
고추 6
 
4.1%
6
 
4.1%
수박 5
 
3.4%
Other values (28) 48
32.7%
2023-12-12T16:26:45.871345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
93
18.3%
, 88
17.4%
25
 
4.9%
23
 
4.5%
23
 
4.5%
21
 
4.1%
17
 
3.4%
15
 
3.0%
15
 
3.0%
15
 
3.0%
Other values (55) 172
33.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 326
64.3%
Space Separator 93
 
18.3%
Other Punctuation 88
 
17.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
25
 
7.7%
23
 
7.1%
23
 
7.1%
21
 
6.4%
17
 
5.2%
15
 
4.6%
15
 
4.6%
15
 
4.6%
13
 
4.0%
12
 
3.7%
Other values (53) 147
45.1%
Space Separator
ValueCountFrequency (%)
93
100.0%
Other Punctuation
ValueCountFrequency (%)
, 88
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 326
64.3%
Common 181
35.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
25
 
7.7%
23
 
7.1%
23
 
7.1%
21
 
6.4%
17
 
5.2%
15
 
4.6%
15
 
4.6%
15
 
4.6%
13
 
4.0%
12
 
3.7%
Other values (53) 147
45.1%
Common
ValueCountFrequency (%)
93
51.4%
, 88
48.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 326
64.3%
ASCII 181
35.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
93
51.4%
, 88
48.6%
Hangul
ValueCountFrequency (%)
25
 
7.7%
23
 
7.1%
23
 
7.1%
21
 
6.4%
17
 
5.2%
15
 
4.6%
15
 
4.6%
15
 
4.6%
13
 
4.0%
12
 
3.7%
Other values (53) 147
45.1%

Interactions

2023-12-12T16:26:42.353533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T16:26:45.988252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관리번호시군명사업자사업장 소재지주요품목
관리번호1.0000.9590.8641.0000.920
시군명0.9591.0000.9631.0000.984
사업자0.8640.9631.0001.0000.973
사업장 소재지1.0001.0001.0001.0001.000
주요품목0.9200.9840.9731.0001.000
2023-12-12T16:26:46.108841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관리번호시군명
관리번호1.0000.793
시군명0.7931.000

Missing values

2023-12-12T16:26:42.469650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:26:42.614142image/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

관리번호시군명사업자사업장 소재지주요품목
01창원시동읍농협창원시 의창구 동읍로 1063(봉곡리 377)단감, 풋고추, 가지
12창원시대산농협창원시 의창구 대산면 진산대로 506번길 2 (가술리 1)수박, 파프리카, 토마토
23창원시북창원농협창원시 의창구 북면 신촌본포로 56(신촌리 1663-2)단감
34창원시창원친환경영농조합법인창원시 의창구 동읍 가술산남로 316(산남리 588-1)고추, 엽채류
45진주시중부농협진주시 집현면 향양로 30(덕오리 397번지)꽈리고추, 풋고추, 애호박
56진주시문산농협진주시 문산읍 동부로 526(삼곡리 1340번지)단감
67진주시진주원예농협진주시 문산읍 월아산로 949(이곡리 1143, 1141-2)딸기, 단감, 매실
78진주시진주동부농협진주시 진산로 230(장재동 176-1번지)애호박, 풋고추
89진주시진주금산농협진주시 금산면 중장로 97(장사리 1562)풋고추, 파프리카
910사천시정동농협사천시 정동면 상정대로 2540-50(대곡리 301-2)단감, 매실, 밤
관리번호시군명사업자사업장 소재지주요품목
5051거창군남거창농협거창군 남상면 일반산업길 76(대산리 1542-1)사과, 딸기, 양파
5152거창군북부농협거창군 주상면 당대고개길79(도평리 376-3)사과
5253거창군거창한 거창거창읍 거함대로 3372(대평리 1347)사과, 포도
5354합천군합천동부농협합천군 초계면 동부로 1119 (초계리 390-3)마늘, 양파, 딸기
5455합천군야로농협합천군 야로면 월광리 68(가야산로 678)양파
5556합천군덕곡영농법인합천군 덕곡면 율지2길 21-3 (율지리 38)마늘, 양파
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