Overview

Dataset statistics

Number of variables7
Number of observations56
Missing cells2
Missing cells (%)0.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.2 KiB
Average record size in memory59.4 B

Variable types

Numeric1
Categorical2
Text3
DateTime1

Dataset

Description"축산위생업 현황" 공공데이터는 구례 지역 내에서 운영되고 있는 축산물 생산 및 가공 시설의 위생 상태와 관련된 정보를 제공합니다.이 데이터를 통해 축산물 생산 및 가공 시설의 위생 상태를 평가하고 개선함으로써 지역 축산업의 발전과 소비자 보호에 기여할 수 있습니다.
Author전라남도 구례군
URLhttps://www.data.go.kr/data/3084005/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
업종 is highly overall correlated with 세부High correlation
세부 is highly overall correlated with 업종High correlation
업종 is highly imbalanced (77.9%)Imbalance
소재지주소(도로명) has 2 (3.6%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2024-03-30 03:17:30.654572
Analysis finished2024-03-30 03:17:33.103744
Duration2.45 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct56
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.5
Minimum1
Maximum56
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size636.0 B
2024-03-30T03:17:33.399056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.75
Q114.75
median28.5
Q342.25
95-th percentile53.25
Maximum56
Range55
Interquartile range (IQR)27.5

Descriptive statistics

Standard deviation16.309506
Coefficient of variation (CV)0.57226338
Kurtosis-1.2
Mean28.5
Median Absolute Deviation (MAD)14
Skewness0
Sum1596
Variance266
MonotonicityStrictly increasing
2024-03-30T03:17:34.238676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.8%
30 1
 
1.8%
32 1
 
1.8%
33 1
 
1.8%
34 1
 
1.8%
35 1
 
1.8%
36 1
 
1.8%
37 1
 
1.8%
38 1
 
1.8%
39 1
 
1.8%
Other values (46) 46
82.1%
ValueCountFrequency (%)
1 1
1.8%
2 1
1.8%
3 1
1.8%
4 1
1.8%
5 1
1.8%
6 1
1.8%
7 1
1.8%
8 1
1.8%
9 1
1.8%
10 1
1.8%
ValueCountFrequency (%)
56 1
1.8%
55 1
1.8%
54 1
1.8%
53 1
1.8%
52 1
1.8%
51 1
1.8%
50 1
1.8%
49 1
1.8%
48 1
1.8%
47 1
1.8%

업종
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size580.0 B
축산물판매업
53 
식육즉석판매가공업
 
2
식육포장처리업
 
1

Length

Max length9
Median length6
Mean length6.125
Min length6

Unique

Unique1 ?
Unique (%)1.8%

Sample

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

Common Values

ValueCountFrequency (%)
축산물판매업 53
94.6%
식육즉석판매가공업 2
 
3.6%
식육포장처리업 1
 
1.8%

Length

2024-03-30T03:17:34.812984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-30T03:17:35.334768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
축산물판매업 53
94.6%
식육즉석판매가공업 2
 
3.6%
식육포장처리업 1
 
1.8%

세부
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)10.7%
Missing0
Missing (%)0.0%
Memory size580.0 B
식육판매업
35 
축산물유통전문판매업
8 
우유류판매업
7 
식용란수집판매업
 
3
식육즉석판매가공업
 
2

Length

Max length10
Median length5
Mean length6.1785714
Min length5

Unique

Unique1 ?
Unique (%)1.8%

Sample

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

Common Values

ValueCountFrequency (%)
식육판매업 35
62.5%
축산물유통전문판매업 8
 
14.3%
우유류판매업 7
 
12.5%
식용란수집판매업 3
 
5.4%
식육즉석판매가공업 2
 
3.6%
식육포장처리업 1
 
1.8%

Length

2024-03-30T03:17:35.676749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-30T03:17:36.102375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육판매업 35
62.5%
축산물유통전문판매업 8
 
14.3%
우유류판매업 7
 
12.5%
식용란수집판매업 3
 
5.4%
식육즉석판매가공업 2
 
3.6%
식육포장처리업 1
 
1.8%

사업장명칭
Text

Distinct53
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Memory size580.0 B
2024-03-30T03:17:36.857648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length16
Mean length7.3392857
Min length3

Characters and Unicode

Total characters411
Distinct characters127
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique50 ?
Unique (%)89.3%

Sample

1st row청룡정육점
2nd row대호정육점
3rd row흥남정육점
4th row우정한우직판장
5th row오수정육점
ValueCountFrequency (%)
주식회사 3
 
4.3%
덕담골미네랄영농조합법인 2
 
2.9%
전남 2
 
2.9%
도희네유정란 2
 
2.9%
구례지점 2
 
2.9%
주)쿱스토어 2
 
2.9%
농업회사법인(주)지리산구례공동체 1
 
1.4%
주)밀크쿱 1
 
1.4%
농업회사법인 1
 
1.4%
곡성구례연세우유 1
 
1.4%
Other values (52) 52
75.4%
2024-03-30T03:17:37.991256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 25
 
6.1%
육 20
 
4.9%
정 19
 
4.6%
구 15
 
3.6%
례 14
 
3.4%
13
 
3.2%
우 12
 
2.9%
유 9
 
2.2%
산 8
 
1.9%
농 7
 
1.7%
Other values (117) 269
65.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 377
91.7%
Space Separator 13
 
3.2%
Uppercase Letter 9
 
2.2%
Close Punctuation 5
 
1.2%
Open Punctuation 5
 
1.2%
Lowercase Letter 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 25
 
6.6%
육 20
 
5.3%
정 19
 
5.0%
구 15
 
4.0%
례 14
 
3.7%
우 12
 
3.2%
유 9
 
2.4%
산 8
 
2.1%
농 7
 
1.9%
식 7
 
1.9%
Other values (106) 241
63.9%
Uppercase Letter
ValueCountFrequency (%)
O 3
33.3%
L 2
22.2%
C 1
 
11.1%
D 1
 
11.1%
F 1
 
11.1%
A 1
 
11.1%
Lowercase Letter
ValueCountFrequency (%)
h 1
50.0%
y 1
50.0%
Space Separator
ValueCountFrequency (%)
13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 377
91.7%
Common 23
 
5.6%
Latin 11
 
2.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 25
 
6.6%
육 20
 
5.3%
정 19
 
5.0%
구 15
 
4.0%
례 14
 
3.7%
우 12
 
3.2%
유 9
 
2.4%
산 8
 
2.1%
농 7
 
1.9%
식 7
 
1.9%
Other values (106) 241
63.9%
Latin
ValueCountFrequency (%)
O 3
27.3%
L 2
18.2%
C 1
 
9.1%
h 1
 
9.1%
y 1
 
9.1%
D 1
 
9.1%
F 1
 
9.1%
A 1
 
9.1%
Common
ValueCountFrequency (%)
13
56.5%
) 5
 
21.7%
( 5
 
21.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 377
91.7%
ASCII 34
 
8.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 25
 
6.6%
육 20
 
5.3%
정 19
 
5.0%
구 15
 
4.0%
례 14
 
3.7%
우 12
 
3.2%
유 9
 
2.4%
산 8
 
2.1%
농 7
 
1.9%
식 7
 
1.9%
Other values (106) 241
63.9%
ASCII
ValueCountFrequency (%)
13
38.2%
) 5
 
14.7%
( 5
 
14.7%
O 3
 
8.8%
L 2
 
5.9%
C 1
 
2.9%
h 1
 
2.9%
y 1
 
2.9%
D 1
 
2.9%
F 1
 
2.9%

권리주체명
Text

Distinct51
Distinct (%)91.1%
Missing0
Missing (%)0.0%
Memory size580.0 B
2024-03-30T03:17:38.640269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length3
Mean length4.5
Min length3

Characters and Unicode

Total characters252
Distinct characters101
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique46 ?
Unique (%)82.1%

Sample

1st row김춘심
2nd row강정숙
3rd row이순이
4th row김상오
5th row최미순
ValueCountFrequency (%)
주식회사 3
 
5.1%
주)쿱스토어전남 2
 
3.4%
명품오리영농조합법인 2
 
3.4%
이순이 2
 
3.4%
도희네유정란 2
 
3.4%
구례축산업협동조합 2
 
3.4%
농업회사법인(주)지리산구례공동체 1
 
1.7%
박창민 1
 
1.7%
그래구례협동조합 1
 
1.7%
도규영 1
 
1.7%
Other values (42) 42
71.2%
2024-03-30T03:17:39.616617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 13
 
5.2%
조 8
 
3.2%
주 7
 
2.8%
이 7
 
2.8%
정 7
 
2.8%
순 6
 
2.4%
동 6
 
2.4%
인 6
 
2.4%
례 6
 
2.4%
합 6
 
2.4%
Other values (91) 180
71.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 243
96.4%
Space Separator 3
 
1.2%
Open Punctuation 3
 
1.2%
Close Punctuation 3
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 13
 
5.3%
조 8
 
3.3%
주 7
 
2.9%
이 7
 
2.9%
정 7
 
2.9%
순 6
 
2.5%
동 6
 
2.5%
인 6
 
2.5%
례 6
 
2.5%
합 6
 
2.5%
Other values (88) 171
70.4%
Space Separator
ValueCountFrequency (%)
3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 243
96.4%
Common 9
 
3.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 13
 
5.3%
조 8
 
3.3%
주 7
 
2.9%
이 7
 
2.9%
정 7
 
2.9%
순 6
 
2.5%
동 6
 
2.5%
인 6
 
2.5%
례 6
 
2.5%
합 6
 
2.5%
Other values (88) 171
70.4%
Common
ValueCountFrequency (%)
3
33.3%
( 3
33.3%
) 3
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 243
96.4%
ASCII 9
 
3.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 13
 
5.3%
조 8
 
3.3%
주 7
 
2.9%
이 7
 
2.9%
정 7
 
2.9%
순 6
 
2.5%
동 6
 
2.5%
인 6
 
2.5%
례 6
 
2.5%
합 6
 
2.5%
Other values (88) 171
70.4%
ASCII
ValueCountFrequency (%)
3
33.3%
( 3
33.3%
) 3
33.3%

소재지주소(도로명)
Text

MISSING 

Distinct51
Distinct (%)94.4%
Missing2
Missing (%)3.6%
Memory size580.0 B
2024-03-30T03:17:40.240125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length28
Mean length23.222222
Min length18

Characters and Unicode

Total characters1254
Distinct characters62
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique48 ?
Unique (%)88.9%

Sample

1st row전라남도 구례군 광의면 연파리 401
2nd row전라남도 구례군 구례읍 봉동리 380
3rd row전라남도 구례군 구례읍 봉북리 191
4th row전라남도 구례군 구례읍 봉동리 206-1
5th row전라남도 구례군 구례읍 봉동리 211-6
ValueCountFrequency (%)
전라남도 54
19.4%
구례군 54
19.4%
구례읍 39
14.0%
봉동리 27
 
9.7%
용방면 8
 
2.9%
봉북리 5
 
1.8%
죽정리 5
 
1.8%
산동면 4
 
1.4%
신지리 3
 
1.1%
봉남리 3
 
1.1%
Other values (72) 76
27.3%
2024-03-30T03:17:41.612776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
276
22.0%
구 94
 
7.5%
례 93
 
7.4%
남 57
 
4.5%
라 56
 
4.5%
전 54
 
4.3%
도 54
 
4.3%
군 54
 
4.3%
리 53
 
4.2%
1 51
 
4.1%
Other values (52) 412
32.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 723
57.7%
Space Separator 276
 
22.0%
Decimal Number 213
 
17.0%
Dash Punctuation 42
 
3.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 94
13.0%
례 93
12.9%
남 57
7.9%
라 56
7.7%
전 54
7.5%
도 54
7.5%
군 54
7.5%
리 53
7.3%
읍 39
 
5.4%
봉 37
 
5.1%
Other values (40) 132
18.3%
Decimal Number
ValueCountFrequency (%)
1 51
23.9%
3 33
15.5%
2 26
12.2%
6 23
10.8%
4 19
 
8.9%
9 17
 
8.0%
8 15
 
7.0%
0 13
 
6.1%
7 11
 
5.2%
5 5
 
2.3%
Space Separator
ValueCountFrequency (%)
276
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 42
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 723
57.7%
Common 531
42.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 94
13.0%
례 93
12.9%
남 57
7.9%
라 56
7.7%
전 54
7.5%
도 54
7.5%
군 54
7.5%
리 53
7.3%
읍 39
 
5.4%
봉 37
 
5.1%
Other values (40) 132
18.3%
Common
ValueCountFrequency (%)
276
52.0%
1 51
 
9.6%
- 42
 
7.9%
3 33
 
6.2%
2 26
 
4.9%
6 23
 
4.3%
4 19
 
3.6%
9 17
 
3.2%
8 15
 
2.8%
0 13
 
2.4%
Other values (2) 16
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 723
57.7%
ASCII 531
42.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
276
52.0%
1 51
 
9.6%
- 42
 
7.9%
3 33
 
6.2%
2 26
 
4.9%
6 23
 
4.3%
4 19
 
3.6%
9 17
 
3.2%
8 15
 
2.8%
0 13
 
2.4%
Other values (2) 16
 
3.0%
Hangul
ValueCountFrequency (%)
구 94
13.0%
례 93
12.9%
남 57
7.9%
라 56
7.7%
전 54
7.5%
도 54
7.5%
군 54
7.5%
리 53
7.3%
읍 39
 
5.4%
봉 37
 
5.1%
Other values (40) 132
18.3%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size580.0 B
Minimum2024-02-28 00:00:00
Maximum2024-02-28 00:00:00
2024-03-30T03:17:41.968623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T03:17:42.307826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-30T03:17:31.688296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-30T03:17:42.574421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종세부사업장명칭권리주체명소재지주소(도로명)
연번1.0000.4450.6180.9800.9350.979
업종0.4451.0001.0001.0000.0001.000
세부0.6181.0001.0000.0000.0000.000
사업장명칭0.9801.0000.0001.0001.0001.000
권리주체명0.9350.0000.0001.0001.0001.000
소재지주소(도로명)0.9791.0000.0001.0001.0001.000
2024-03-30T03:17:42.922349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종세부
업종1.0000.971
세부0.9711.000
2024-03-30T03:17:43.151497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종세부
연번1.0000.2740.348
업종0.2741.0000.971
세부0.3480.9711.000

Missing values

2024-03-30T03:17:32.149119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-30T03:17:32.751688image/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

연번업종세부사업장명칭권리주체명소재지주소(도로명)데이터기준일자
01축산물판매업식육판매업청룡정육점김춘심전라남도 구례군 광의면 연파리 4012024-02-28
12축산물판매업식육판매업대호정육점강정숙전라남도 구례군 구례읍 봉동리 3802024-02-28
23축산물판매업식육판매업흥남정육점이순이전라남도 구례군 구례읍 봉북리 1912024-02-28
34축산물판매업식육판매업우정한우직판장김상오전라남도 구례군 구례읍 봉동리 206-12024-02-28
45축산물판매업식육판매업오수정육점최미순전라남도 구례군 구례읍 봉동리 211-62024-02-28
56축산물판매업식육판매업풍년정육점송순미전라남도 구례군 구례읍 봉동리 385-42024-02-28
67축산물판매업식육판매업터미널식육점박종일전라남도 구례군 구례읍 봉남리 12024-02-28
78축산물판매업식육판매업월성정육점김은영전라남도 구례군 구례읍 봉북리 66-142024-02-28
89축산물판매업우유류판매업서울우유구례대리점조장훈전라남도 구례군 구례읍 봉북리 1434-112024-02-28
910축산물판매업우유류판매업남양우유구례대리점서인석전라남도 구례군 구례읍 봉동리 1082024-02-28
연번업종세부사업장명칭권리주체명소재지주소(도로명)데이터기준일자
4647축산물판매업식육판매업부자정육점엄기창전라남도 구례군 구례읍 봉동리 232-22024-02-28
4748축산물판매업식육판매업순천닭집이용엽전라남도 구례군 구례읍 봉동리 190-1 5일시장 라동 11-3호2024-02-28
4849축산물판매업식육판매업한우가 돈돼지 정육점이영희전라남도 구례군 구례읍 봉남리 317 중앙식당2024-02-28
4950축산물판매업우유류판매업(주)쿱스토어 전남(주)쿱스토어전남전라남도 구례군 용방면 죽정리 9312024-02-28
5051축산물판매업축산물유통전문판매업산수유한우김인수전라남도 구례군 구례읍 봉동리 193-42024-02-28
5152축산물판매업축산물유통전문판매업지리산고컬푸드(LOCAL FOOD) 그래구례그래구례협동조합전라남도 구례군 마산면 냉천리 282-12024-02-28
5253축산물판매업축산물유통전문판매업창씨고집박창민전라남도 구례군 용방면 신지리 669-12024-02-28
5354식육즉석판매가공업식육즉석판매가공업태인축산 구례점태인축산 주식회사전라남도 구례군 구례읍 봉남리 6-22024-02-28
5455식육즉석판매가공업식육즉석판매가공업고향정육점황성기전라남도 구례군 구례읍 봉동리 236-32024-02-28
5556식육포장처리업식육포장처리업구례축협하나로마트구례축산업협동조합전라남도 구례군 구례읍 봉동길 92024-02-28