Overview

Dataset statistics

Number of variables6
Number of observations532
Missing cells16
Missing cells (%)0.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory25.6 KiB
Average record size in memory49.2 B

Variable types

Numeric1
Text3
Categorical2

Dataset

Description경상남도 사료제조업체 현황에 대한 데이터로, 제조업체명, 사료구분(배합, 단미, 보조 등), 생산사료명, 생산능력(톤), 영업상태에 대한 정보를 제공합니다.
Author경상남도
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15016374

Alerts

영업상태 has constant value ""Constant
생산사료명 has 16 (3.0%) missing valuesMissing
순번 has unique valuesUnique

Reproduction

Analysis started2023-12-10 23:53:51.854187
Analysis finished2023-12-10 23:53:52.762148
Duration0.91 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct532
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean266.5
Minimum1
Maximum532
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-12-11T08:53:52.832087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile27.55
Q1133.75
median266.5
Q3399.25
95-th percentile505.45
Maximum532
Range531
Interquartile range (IQR)265.5

Descriptive statistics

Standard deviation153.71944
Coefficient of variation (CV)0.57680841
Kurtosis-1.2
Mean266.5
Median Absolute Deviation (MAD)133
Skewness0
Sum141778
Variance23629.667
MonotonicityStrictly increasing
2023-12-11T08:53:52.967453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
352 1
 
0.2%
366 1
 
0.2%
365 1
 
0.2%
364 1
 
0.2%
363 1
 
0.2%
362 1
 
0.2%
361 1
 
0.2%
360 1
 
0.2%
359 1
 
0.2%
Other values (522) 522
98.1%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
532 1
0.2%
531 1
0.2%
530 1
0.2%
529 1
0.2%
528 1
0.2%
527 1
0.2%
526 1
0.2%
525 1
0.2%
524 1
0.2%
523 1
0.2%

제조업체명
Text

Distinct407
Distinct (%)76.5%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
2023-12-11T08:53:53.262084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length18
Mean length7.5075188
Min length2

Characters and Unicode

Total characters3994
Distinct characters388
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique311 ?
Unique (%)58.5%

Sample

1st row(주)한탑 양산공장
2nd row제일사료(주)함안공장
3rd row(주)농협사료 경남지사
4th row(주)농업회사법인오케이
5th row김해축산업협동조합 배합사료공장
ValueCountFrequency (%)
주식회사 29
 
4.5%
농업회사법인 8
 
1.2%
주)씨티씨바이오 5
 
0.8%
주)코리아에프앤에프 5
 
0.8%
주)에이치에스아쿠아피드 5
 
0.8%
주)동우티엠씨 5
 
0.8%
트레이딩 4
 
0.6%
영농조합법인 4
 
0.6%
펫츠베이 4
 
0.6%
주)세농 4
 
0.6%
Other values (444) 569
88.6%
2023-12-11T08:53:53.687904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 203
 
5.1%
) 188
 
4.7%
( 188
 
4.7%
이 126
 
3.2%
110
 
2.8%
사 98
 
2.5%
산 67
 
1.7%
업 65
 
1.6%
에 64
 
1.6%
농 63
 
1.6%
Other values (378) 2822
70.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3342
83.7%
Close Punctuation 188
 
4.7%
Open Punctuation 188
 
4.7%
Space Separator 110
 
2.8%
Uppercase Letter 99
 
2.5%
Lowercase Letter 41
 
1.0%
Other Symbol 12
 
0.3%
Other Punctuation 8
 
0.2%
Decimal Number 6
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 203
 
6.1%
이 126
 
3.8%
사 98
 
2.9%
산 67
 
2.0%
업 65
 
1.9%
에 64
 
1.9%
농 63
 
1.9%
아 63
 
1.9%
회 55
 
1.6%
인 55
 
1.6%
Other values (331) 2483
74.3%
Uppercase Letter
ValueCountFrequency (%)
T 11
11.1%
L 10
10.1%
P 10
10.1%
E 10
10.1%
A 7
 
7.1%
D 6
 
6.1%
R 6
 
6.1%
M 6
 
6.1%
S 6
 
6.1%
J 5
 
5.1%
Other values (11) 22
22.2%
Lowercase Letter
ValueCountFrequency (%)
e 6
14.6%
o 4
 
9.8%
i 4
 
9.8%
g 3
 
7.3%
t 3
 
7.3%
a 2
 
4.9%
p 2
 
4.9%
h 2
 
4.9%
c 2
 
4.9%
r 2
 
4.9%
Other values (6) 11
26.8%
Decimal Number
ValueCountFrequency (%)
2 3
50.0%
6 1
 
16.7%
4 1
 
16.7%
0 1
 
16.7%
Other Punctuation
ValueCountFrequency (%)
& 7
87.5%
' 1
 
12.5%
Close Punctuation
ValueCountFrequency (%)
) 188
100.0%
Open Punctuation
ValueCountFrequency (%)
( 188
100.0%
Space Separator
ValueCountFrequency (%)
110
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3353
84.0%
Common 500
 
12.5%
Latin 140
 
3.5%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 203
 
6.1%
이 126
 
3.8%
사 98
 
2.9%
산 67
 
2.0%
업 65
 
1.9%
에 64
 
1.9%
농 63
 
1.9%
아 63
 
1.9%
회 55
 
1.6%
인 55
 
1.6%
Other values (331) 2494
74.4%
Latin
ValueCountFrequency (%)
T 11
 
7.9%
L 10
 
7.1%
P 10
 
7.1%
E 10
 
7.1%
A 7
 
5.0%
D 6
 
4.3%
e 6
 
4.3%
R 6
 
4.3%
M 6
 
4.3%
S 6
 
4.3%
Other values (27) 62
44.3%
Common
ValueCountFrequency (%)
) 188
37.6%
( 188
37.6%
110
22.0%
& 7
 
1.4%
2 3
 
0.6%
6 1
 
0.2%
4 1
 
0.2%
' 1
 
0.2%
0 1
 
0.2%
Han
ValueCountFrequency (%)
愛 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3341
83.7%
ASCII 640
 
16.0%
None 12
 
0.3%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 203
 
6.1%
이 126
 
3.8%
사 98
 
2.9%
산 67
 
2.0%
업 65
 
1.9%
에 64
 
1.9%
농 63
 
1.9%
아 63
 
1.9%
회 55
 
1.6%
인 55
 
1.6%
Other values (330) 2482
74.3%
ASCII
ValueCountFrequency (%)
) 188
29.4%
( 188
29.4%
110
17.2%
T 11
 
1.7%
L 10
 
1.6%
P 10
 
1.6%
E 10
 
1.6%
A 7
 
1.1%
& 7
 
1.1%
D 6
 
0.9%
Other values (36) 93
14.5%
None
ValueCountFrequency (%)
㈜ 12
100.0%
CJK
ValueCountFrequency (%)
愛 1
100.0%

사료구분
Categorical

Distinct7
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
단미
276 
보조
86 
수입
59 
배합
58 
단미(수입)
36 
Other values (2)
 
17

Length

Max length6
Median length2
Mean length2.3984962
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
단미 276
51.9%
보조 86
 
16.2%
수입 59
 
11.1%
배합 58
 
10.9%
단미(수입) 36
 
6.8%
배합(수입) 13
 
2.4%
보조(수입) 4
 
0.8%

Length

2023-12-11T08:53:53.851772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:53:53.975116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
단미 276
51.9%
보조 86
 
16.2%
수입 59
 
11.1%
배합 58
 
10.9%
단미(수입 36
 
6.8%
배합(수입 13
 
2.4%
보조(수입 4
 
0.8%

생산사료명
Text

MISSING 

Distinct214
Distinct (%)41.5%
Missing16
Missing (%)3.0%
Memory size4.3 KiB
2023-12-11T08:53:54.217951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length28
Mean length12.829457
Min length2

Characters and Unicode

Total characters6620
Distinct characters183
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique156 ?
Unique (%)30.2%

Sample

1st row양축용
2nd row양축용 배합사료
3rd row양축용 배합사료
4th row양축용 배합사료
5th row양축용 배합사료
ValueCountFrequency (%)
단미사료/혼합성-혼합제 89
 
12.8%
단미사료/동물성-단백질류 32
 
4.6%
배합사료 29
 
4.2%
보조사료/생균제 21
 
3.0%
혼합제 17
 
2.4%
수입사료 16
 
2.3%
단미사료/혼합성 15
 
2.2%
양축용 13
 
1.9%
밖의 13
 
1.9%
12
 
1.7%
Other values (228) 437
63.0%
2023-12-11T08:53:54.639318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 526
 
7.9%
사 518
 
7.8%
료 516
 
7.8%
단 397
 
6.0%
합 354
 
5.3%
미 348
 
5.3%
성 319
 
4.8%
물 313
 
4.7%
혼 275
 
4.2%
제 223
 
3.4%
Other values (173) 2831
42.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5452
82.4%
Other Punctuation 553
 
8.4%
Dash Punctuation 203
 
3.1%
Space Separator 178
 
2.7%
Close Punctuation 107
 
1.6%
Open Punctuation 107
 
1.6%
Connector Punctuation 7
 
0.1%
Uppercase Letter 6
 
0.1%
Lowercase Letter 6
 
0.1%
Decimal Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 518
 
9.5%
료 516
 
9.5%
단 397
 
7.3%
합 354
 
6.5%
미 348
 
6.4%
성 319
 
5.9%
물 313
 
5.7%
혼 275
 
5.0%
제 223
 
4.1%
류 220
 
4.0%
Other values (152) 1969
36.1%
Lowercase Letter
ValueCountFrequency (%)
i 1
16.7%
s 1
16.7%
h 1
16.7%
e 1
16.7%
a 1
16.7%
l 1
16.7%
Uppercase Letter
ValueCountFrequency (%)
M 2
33.3%
F 1
16.7%
R 1
16.7%
T 1
16.7%
C 1
16.7%
Other Punctuation
ValueCountFrequency (%)
/ 526
95.1%
· 14
 
2.5%
, 11
 
2.0%
. 2
 
0.4%
Dash Punctuation
ValueCountFrequency (%)
- 203
100.0%
Space Separator
ValueCountFrequency (%)
178
100.0%
Close Punctuation
ValueCountFrequency (%)
) 107
100.0%
Open Punctuation
ValueCountFrequency (%)
( 107
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 7
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5452
82.4%
Common 1156
 
17.5%
Latin 12
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 518
 
9.5%
료 516
 
9.5%
단 397
 
7.3%
합 354
 
6.5%
미 348
 
6.4%
성 319
 
5.9%
물 313
 
5.7%
혼 275
 
5.0%
제 223
 
4.1%
류 220
 
4.0%
Other values (152) 1969
36.1%
Latin
ValueCountFrequency (%)
M 2
16.7%
F 1
8.3%
i 1
8.3%
s 1
8.3%
h 1
8.3%
e 1
8.3%
a 1
8.3%
l 1
8.3%
R 1
8.3%
T 1
8.3%
Common
ValueCountFrequency (%)
/ 526
45.5%
- 203
 
17.6%
178
 
15.4%
) 107
 
9.3%
( 107
 
9.3%
· 14
 
1.2%
, 11
 
1.0%
_ 7
 
0.6%
. 2
 
0.2%
1 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5452
82.4%
ASCII 1154
 
17.4%
None 14
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 526
45.6%
- 203
 
17.6%
178
 
15.4%
) 107
 
9.3%
( 107
 
9.3%
, 11
 
1.0%
_ 7
 
0.6%
. 2
 
0.2%
M 2
 
0.2%
1 1
 
0.1%
Other values (10) 10
 
0.9%
Hangul
ValueCountFrequency (%)
사 518
 
9.5%
료 516
 
9.5%
단 397
 
7.3%
합 354
 
6.5%
미 348
 
6.4%
성 319
 
5.9%
물 313
 
5.7%
혼 275
 
5.0%
제 223
 
4.1%
류 220
 
4.0%
Other values (152) 1969
36.1%
None
ValueCountFrequency (%)
· 14
100.0%

생산능력(톤)
Text

Distinct79
Distinct (%)14.8%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
2023-12-11T08:53:54.912643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length3.4342105
Min length2

Characters and Unicode

Total characters1827
Distinct characters12
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique35 ?
Unique (%)6.6%

Sample

1st row300t
2nd row300t
3rd row668t
4th row230t
5th row330t
ValueCountFrequency (%)
0t 104
19.5%
0.01t 54
 
10.2%
0.1t 43
 
8.1%
2t 29
 
5.5%
0.05t 25
 
4.7%
10t 22
 
4.1%
0.5t 18
 
3.4%
3t 16
 
3.0%
1t 15
 
2.8%
0.005t 14
 
2.6%
Other values (69) 192
36.1%
2023-12-11T08:53:55.287717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 555
30.4%
t 532
29.1%
. 249
13.6%
1 173
 
9.5%
5 96
 
5.3%
2 80
 
4.4%
3 60
 
3.3%
4 25
 
1.4%
8 21
 
1.1%
6 20
 
1.1%
Other values (2) 16
 
0.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1046
57.3%
Lowercase Letter 532
29.1%
Other Punctuation 249
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 555
53.1%
1 173
 
16.5%
5 96
 
9.2%
2 80
 
7.6%
3 60
 
5.7%
4 25
 
2.4%
8 21
 
2.0%
6 20
 
1.9%
9 10
 
1.0%
7 6
 
0.6%
Lowercase Letter
ValueCountFrequency (%)
t 532
100.0%
Other Punctuation
ValueCountFrequency (%)
. 249
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1295
70.9%
Latin 532
29.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 555
42.9%
. 249
19.2%
1 173
 
13.4%
5 96
 
7.4%
2 80
 
6.2%
3 60
 
4.6%
4 25
 
1.9%
8 21
 
1.6%
6 20
 
1.5%
9 10
 
0.8%
Latin
ValueCountFrequency (%)
t 532
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1827
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 555
30.4%
t 532
29.1%
. 249
13.6%
1 173
 
9.5%
5 96
 
5.3%
2 80
 
4.4%
3 60
 
3.3%
4 25
 
1.4%
8 21
 
1.1%
6 20
 
1.1%
Other values (2) 16
 
0.9%

영업상태
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
정상
532 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정상 532
100.0%

Length

2023-12-11T08:53:55.427728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:53:55.516592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 532
100.0%

Interactions

2023-12-11T08:53:52.249670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T08:53:55.574553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번사료구분생산능력(톤)
순번1.0000.4490.657
사료구분0.4491.0000.766
생산능력(톤)0.6570.7661.000
2023-12-11T08:53:55.678636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번사료구분
순번1.0000.246
사료구분0.2461.000

Missing values

2023-12-11T08:53:52.364572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:53:52.719274image/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

순번제조업체명사료구분생산사료명생산능력(톤)영업상태
01(주)한탑 양산공장배합양축용300t정상
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