Overview

Dataset statistics

Number of variables7
Number of observations23
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.4 KiB
Average record size in memory62.7 B

Variable types

Numeric1
Text3
Categorical3

Dataset

Description관내 사료제조업 현황에 관한 데이터로 업체명, 도로명주소, 생산사료, 사료성분종류, 전화번호 등의 내용을 포함하고 있습니다.
URLhttps://www.data.go.kr/data/3080285/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
연번 has unique valuesUnique
업체명 has unique valuesUnique
도로명주소 has unique valuesUnique

Reproduction

Analysis started2023-12-11 23:52:58.817375
Analysis finished2023-12-11 23:52:59.322772
Duration0.51 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12
Minimum1
Maximum23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-12T08:52:59.375615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.1
Q16.5
median12
Q317.5
95-th percentile21.9
Maximum23
Range22
Interquartile range (IQR)11

Descriptive statistics

Standard deviation6.78233
Coefficient of variation (CV)0.56519417
Kurtosis-1.2
Mean12
Median Absolute Deviation (MAD)6
Skewness0
Sum276
Variance46
MonotonicityStrictly increasing
2023-12-12T08:52:59.474543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
1 1
 
4.3%
2 1
 
4.3%
23 1
 
4.3%
22 1
 
4.3%
21 1
 
4.3%
20 1
 
4.3%
19 1
 
4.3%
18 1
 
4.3%
17 1
 
4.3%
16 1
 
4.3%
Other values (13) 13
56.5%
ValueCountFrequency (%)
1 1
4.3%
2 1
4.3%
3 1
4.3%
4 1
4.3%
5 1
4.3%
6 1
4.3%
7 1
4.3%
8 1
4.3%
9 1
4.3%
10 1
4.3%
ValueCountFrequency (%)
23 1
4.3%
22 1
4.3%
21 1
4.3%
20 1
4.3%
19 1
4.3%
18 1
4.3%
17 1
4.3%
16 1
4.3%
15 1
4.3%
14 1
4.3%

업체명
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-12T08:52:59.651372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length11
Mean length6.6956522
Min length2

Characters and Unicode

Total characters154
Distinct characters94
Distinct categories7 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)100.0%

Sample

1st row(주)중앙그린
2nd row서안켐텍(주)
3rd row율석휘드
4th row중앙피드바이오텍
5th row펫푸드 善
ValueCountFrequency (%)
주식회사 3
 
10.0%
서안켐텍(주 1
 
3.3%
펫12 1
 
3.3%
필바이오 1
 
3.3%
멍쿠킹 1
 
3.3%
럽투잇 1
 
3.3%
더살랑 1
 
3.3%
몽빵 1
 
3.3%
현민무역 1
 
3.3%
에프에이에스인터내셔널 1
 
3.3%
Other values (18) 18
60.0%
2023-12-12T08:52:59.985656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8
 
5.2%
7
 
4.5%
7
 
4.5%
( 4
 
2.6%
4
 
2.6%
) 4
 
2.6%
4
 
2.6%
3
 
1.9%
3
 
1.9%
3
 
1.9%
Other values (84) 107
69.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 128
83.1%
Space Separator 7
 
4.5%
Lowercase Letter 7
 
4.5%
Open Punctuation 4
 
2.6%
Close Punctuation 4
 
2.6%
Decimal Number 2
 
1.3%
Uppercase Letter 2
 
1.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
8
 
6.2%
7
 
5.5%
4
 
3.1%
4
 
3.1%
3
 
2.3%
3
 
2.3%
3
 
2.3%
3
 
2.3%
3
 
2.3%
3
 
2.3%
Other values (70) 87
68.0%
Lowercase Letter
ValueCountFrequency (%)
o 1
14.3%
m 1
14.3%
a 1
14.3%
n 1
14.3%
t 1
14.3%
e 1
14.3%
d 1
14.3%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
2 1
50.0%
Uppercase Letter
ValueCountFrequency (%)
M 1
50.0%
P 1
50.0%
Space Separator
ValueCountFrequency (%)
7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 127
82.5%
Common 17
 
11.0%
Latin 9
 
5.8%
Han 1
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
8
 
6.3%
7
 
5.5%
4
 
3.1%
4
 
3.1%
3
 
2.4%
3
 
2.4%
3
 
2.4%
3
 
2.4%
3
 
2.4%
3
 
2.4%
Other values (69) 86
67.7%
Latin
ValueCountFrequency (%)
M 1
11.1%
o 1
11.1%
m 1
11.1%
a 1
11.1%
n 1
11.1%
t 1
11.1%
e 1
11.1%
P 1
11.1%
d 1
11.1%
Common
ValueCountFrequency (%)
7
41.2%
( 4
23.5%
) 4
23.5%
1 1
 
5.9%
2 1
 
5.9%
Han
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 127
82.5%
ASCII 26
 
16.9%
CJK 1
 
0.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
8
 
6.3%
7
 
5.5%
4
 
3.1%
4
 
3.1%
3
 
2.4%
3
 
2.4%
3
 
2.4%
3
 
2.4%
3
 
2.4%
3
 
2.4%
Other values (69) 86
67.7%
ASCII
ValueCountFrequency (%)
7
26.9%
( 4
15.4%
) 4
15.4%
1 1
 
3.8%
M 1
 
3.8%
o 1
 
3.8%
m 1
 
3.8%
a 1
 
3.8%
n 1
 
3.8%
t 1
 
3.8%
Other values (4) 4
15.4%
CJK
ValueCountFrequency (%)
1
100.0%

도로명주소
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-12T08:53:00.209404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length25
Mean length23
Min length16

Characters and Unicode

Total characters529
Distinct characters65
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)100.0%

Sample

1st row경기도 양주시 은현면 화합로941번길 209-11
2nd row경기도 양주시 남면 현석로 833
3rd row경기도 양주시 백석읍 월암로 184
4th row경기도 양주시 은현면 화합로941번길 198
5th row경기도 양주시 평화로1435번길 41 (덕계동)
ValueCountFrequency (%)
경기도 23
20.4%
양주시 23
20.4%
은현면 5
 
4.4%
남면 4
 
3.5%
광적면 3
 
2.7%
백석읍 2
 
1.8%
54 2
 
1.8%
칠봉산로 2
 
1.8%
부흥로 2
 
1.8%
화합로941번길 2
 
1.8%
Other values (45) 45
39.8%
2023-12-12T08:53:00.565034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
90
 
17.0%
1 28
 
5.3%
25
 
4.7%
23
 
4.3%
23
 
4.3%
23
 
4.3%
23
 
4.3%
23
 
4.3%
23
 
4.3%
2 19
 
3.6%
Other values (55) 229
43.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 300
56.7%
Decimal Number 121
22.9%
Space Separator 90
 
17.0%
Dash Punctuation 5
 
0.9%
Other Punctuation 4
 
0.8%
Close Punctuation 4
 
0.8%
Open Punctuation 4
 
0.8%
Uppercase Letter 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
25
 
8.3%
23
 
7.7%
23
 
7.7%
23
 
7.7%
23
 
7.7%
23
 
7.7%
23
 
7.7%
14
 
4.7%
12
 
4.0%
12
 
4.0%
Other values (39) 99
33.0%
Decimal Number
ValueCountFrequency (%)
1 28
23.1%
2 19
15.7%
3 16
13.2%
4 11
 
9.1%
6 10
 
8.3%
8 10
 
8.3%
5 9
 
7.4%
9 7
 
5.8%
7 6
 
5.0%
0 5
 
4.1%
Space Separator
ValueCountFrequency (%)
90
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 300
56.7%
Common 228
43.1%
Latin 1
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
25
 
8.3%
23
 
7.7%
23
 
7.7%
23
 
7.7%
23
 
7.7%
23
 
7.7%
23
 
7.7%
14
 
4.7%
12
 
4.0%
12
 
4.0%
Other values (39) 99
33.0%
Common
ValueCountFrequency (%)
90
39.5%
1 28
 
12.3%
2 19
 
8.3%
3 16
 
7.0%
4 11
 
4.8%
6 10
 
4.4%
8 10
 
4.4%
5 9
 
3.9%
9 7
 
3.1%
7 6
 
2.6%
Other values (5) 22
 
9.6%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 300
56.7%
ASCII 229
43.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
90
39.3%
1 28
 
12.2%
2 19
 
8.3%
3 16
 
7.0%
4 11
 
4.8%
6 10
 
4.4%
8 10
 
4.4%
5 9
 
3.9%
9 7
 
3.1%
7 6
 
2.6%
Other values (6) 23
 
10.0%
Hangul
ValueCountFrequency (%)
25
 
8.3%
23
 
7.7%
23
 
7.7%
23
 
7.7%
23
 
7.7%
23
 
7.7%
23
 
7.7%
14
 
4.7%
12
 
4.0%
12
 
4.0%
Other values (39) 99
33.0%

생산사료
Categorical

Distinct3
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
단미
15 
수입
보조

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row단미
2nd row보조
3rd row단미
4th row단미
5th row단미

Common Values

ValueCountFrequency (%)
단미 15
65.2%
수입 5
 
21.7%
보조 3
 
13.0%

Length

2023-12-12T08:53:00.685282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:53:00.773443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
단미 15
65.2%
수입 5
 
21.7%
보조 3
 
13.0%
Distinct13
Distinct (%)56.5%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-12T08:53:00.902353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length5
Mean length5.1304348
Min length2

Characters and Unicode

Total characters118
Distinct characters49
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)52.2%

Sample

1st row곡류
2nd row황산구리
3rd row혼합성단미
4th row콩류가공부산물
5th row혼합성단미
ValueCountFrequency (%)
혼합성단미 11
47.8%
곡류 1
 
4.3%
황산구리 1
 
4.3%
콩류가공부산물 1
 
4.3%
기타유지류 1
 
4.3%
강피류 1
 
4.3%
효모배양물 1
 
4.3%
반추동물섬유질 1
 
4.3%
애완고양이사료 1
 
4.3%
번식용어린송아지 1
 
4.3%
Other values (3) 3
 
13.0%
2023-12-12T08:53:01.174227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12
 
10.2%
11
 
9.3%
11
 
9.3%
11
 
9.3%
11
 
9.3%
5
 
4.2%
4
 
3.4%
3
 
2.5%
2
 
1.7%
2
 
1.7%
Other values (39) 46
39.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 118
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
12
 
10.2%
11
 
9.3%
11
 
9.3%
11
 
9.3%
11
 
9.3%
5
 
4.2%
4
 
3.4%
3
 
2.5%
2
 
1.7%
2
 
1.7%
Other values (39) 46
39.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 118
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
12
 
10.2%
11
 
9.3%
11
 
9.3%
11
 
9.3%
11
 
9.3%
5
 
4.2%
4
 
3.4%
3
 
2.5%
2
 
1.7%
2
 
1.7%
Other values (39) 46
39.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 118
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
12
 
10.2%
11
 
9.3%
11
 
9.3%
11
 
9.3%
11
 
9.3%
5
 
4.2%
4
 
3.4%
3
 
2.5%
2
 
1.7%
2
 
1.7%
Other values (39) 46
39.0%

전화번호
Categorical

Distinct10
Distinct (%)43.5%
Missing0
Missing (%)0.0%
Memory size316.0 B
031-000-000
13 
031-868-2292
031-868-7077
 
1
031-876-8550
 
1
031-822-9306
 
1
Other values (5)

Length

Max length13
Median length11
Mean length11.521739
Min length11

Unique

Unique8 ?
Unique (%)34.8%

Sample

1st row031-868-2292
2nd row031-868-7077
3rd row031-876-8550
4th row031-868-2292
5th row031-822-9306

Common Values

ValueCountFrequency (%)
031-000-000 13
56.5%
031-868-2292 2
 
8.7%
031-868-7077 1
 
4.3%
031-876-8550 1
 
4.3%
031-822-9306 1
 
4.3%
031-866-1508 1
 
4.3%
031-859-6795 1
 
4.3%
031-868-0147 1
 
4.3%
031-8082-7271 1
 
4.3%
070-7573-4118 1
 
4.3%

Length

2023-12-12T08:53:01.303905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:53:01.421752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
031-000-000 13
56.5%
031-868-2292 2
 
8.7%
031-868-7077 1
 
4.3%
031-876-8550 1
 
4.3%
031-822-9306 1
 
4.3%
031-866-1508 1
 
4.3%
031-859-6795 1
 
4.3%
031-868-0147 1
 
4.3%
031-8082-7271 1
 
4.3%
070-7573-4118 1
 
4.3%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-07-05
23 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-07-05
2nd row2023-07-05
3rd row2023-07-05
4th row2023-07-05
5th row2023-07-05

Common Values

ValueCountFrequency (%)
2023-07-05 23
100.0%

Length

2023-12-12T08:53:01.553263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:53:01.680918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-07-05 23
100.0%

Interactions

2023-12-12T08:52:59.088154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T08:53:01.772381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업체명도로명주소생산사료사료성분종류전화번호
연번1.0001.0001.0000.7570.4210.597
업체명1.0001.0001.0001.0001.0001.000
도로명주소1.0001.0001.0001.0001.0001.000
생산사료0.7571.0001.0001.0000.9240.505
사료성분종류0.4211.0001.0000.9241.0000.850
전화번호0.5971.0001.0000.5050.8501.000
2023-12-12T08:53:01.937812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
생산사료전화번호
생산사료1.0000.252
전화번호0.2521.000
2023-12-12T08:53:02.061508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번생산사료전화번호
연번1.0000.3700.000
생산사료0.3701.0000.252
전화번호0.0000.2521.000

Missing values

2023-12-12T08:52:59.182654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T08:52:59.283770image/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

연번업체명도로명주소생산사료사료성분종류전화번호데이터기준일자
01(주)중앙그린경기도 양주시 은현면 화합로941번길 209-11단미곡류031-868-22922023-07-05
12서안켐텍(주)경기도 양주시 남면 현석로 833보조황산구리031-868-70772023-07-05
23율석휘드경기도 양주시 백석읍 월암로 184단미혼합성단미031-876-85502023-07-05
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