Overview

Dataset statistics

Number of variables4
Number of observations251
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.2 KiB
Average record size in memory33.5 B

Variable types

Numeric1
Categorical1
Text2

Dataset

Description성남시 사료제조업현황으로 '사료제조업구분(단미,보조,배합,수입)','제조업체명','소재지주소(도로명)'을 제공합니다.
Author경기도 성남시
URLhttps://www.data.go.kr/data/15124981/fileData.do

Alerts

연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 20:11:03.305473
Analysis finished2023-12-12 20:11:03.839281
Duration0.53 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct251
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126
Minimum1
Maximum251
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-12-13T05:11:03.925602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile13.5
Q163.5
median126
Q3188.5
95-th percentile238.5
Maximum251
Range250
Interquartile range (IQR)125

Descriptive statistics

Standard deviation72.601653
Coefficient of variation (CV)0.57620359
Kurtosis-1.2
Mean126
Median Absolute Deviation (MAD)63
Skewness0
Sum31626
Variance5271
MonotonicityStrictly increasing
2023-12-13T05:11:04.083901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
174 1
 
0.4%
161 1
 
0.4%
162 1
 
0.4%
163 1
 
0.4%
164 1
 
0.4%
165 1
 
0.4%
166 1
 
0.4%
167 1
 
0.4%
168 1
 
0.4%
Other values (241) 241
96.0%
ValueCountFrequency (%)
1 1
0.4%
2 1
0.4%
3 1
0.4%
4 1
0.4%
5 1
0.4%
6 1
0.4%
7 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
ValueCountFrequency (%)
251 1
0.4%
250 1
0.4%
249 1
0.4%
248 1
0.4%
247 1
0.4%
246 1
0.4%
245 1
0.4%
244 1
0.4%
243 1
0.4%
242 1
0.4%

사료제조업구분
Categorical

Distinct4
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
수입
187 
단미
52 
보조
 
11
배합
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
수입 187
74.5%
단미 52
 
20.7%
보조 11
 
4.4%
배합 1
 
0.4%

Length

2023-12-13T05:11:04.228849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:11:04.330529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수입 187
74.5%
단미 52
 
20.7%
보조 11
 
4.4%
배합 1
 
0.4%

제조업체명
Text

Distinct249
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-13T05:11:04.573161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length18
Mean length7.1553785
Min length1

Characters and Unicode

Total characters1796
Distinct characters301
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

Unique247 ?
Unique (%)98.4%

Sample

1st row기민무역
2nd row㈜코스마약품
3rd row㈜씨트렉스
4th row㈜세교축산
5th rowMBS무역
ValueCountFrequency (%)
주식회사 20
 
6.5%
인터내셔널 2
 
0.6%
농업회사법인 2
 
0.6%
inc 2
 
0.6%
주 2
 
0.6%
㈜ 2
 
0.6%
코피드인터내셔널 2
 
0.6%
㈜케어사이드 2
 
0.6%
㈜제이맥스트레이딩 1
 
0.3%
catdog 1
 
0.3%
Other values (274) 274
88.4%
2023-12-13T05:11:04.973937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 105
 
5.8%
주 86
 
4.8%
( 71
 
4.0%
) 71
 
4.0%
㈜ 67
 
3.7%
59
 
3.3%
스 49
 
2.7%
코 37
 
2.1%
에 36
 
2.0%
사 36
 
2.0%
Other values (291) 1179
65.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1436
80.0%
Open Punctuation 71
 
4.0%
Close Punctuation 71
 
4.0%
Other Symbol 67
 
3.7%
Space Separator 59
 
3.3%
Uppercase Letter 49
 
2.7%
Lowercase Letter 35
 
1.9%
Other Punctuation 6
 
0.3%
Decimal Number 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 105
 
7.3%
주 86
 
6.0%
스 49
 
3.4%
코 37
 
2.6%
에 36
 
2.5%
사 36
 
2.5%
트 35
 
2.4%
리 34
 
2.4%
아 32
 
2.2%
회 25
 
1.7%
Other values (249) 961
66.9%
Uppercase Letter
ValueCountFrequency (%)
D 4
 
8.2%
A 4
 
8.2%
T 4
 
8.2%
N 3
 
6.1%
O 3
 
6.1%
K 3
 
6.1%
I 3
 
6.1%
E 3
 
6.1%
H 3
 
6.1%
B 3
 
6.1%
Other values (9) 16
32.7%
Lowercase Letter
ValueCountFrequency (%)
e 5
14.3%
c 5
14.3%
n 4
11.4%
a 3
8.6%
y 3
8.6%
g 2
 
5.7%
l 2
 
5.7%
h 2
 
5.7%
m 2
 
5.7%
r 2
 
5.7%
Other values (5) 5
14.3%
Other Punctuation
ValueCountFrequency (%)
. 5
83.3%
& 1
 
16.7%
Decimal Number
ValueCountFrequency (%)
0 1
50.0%
1 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 71
100.0%
Close Punctuation
ValueCountFrequency (%)
) 71
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 67
100.0%
Space Separator
ValueCountFrequency (%)
59
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1502
83.6%
Common 209
 
11.6%
Latin 84
 
4.7%
Han 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 105
 
7.0%
주 86
 
5.7%
㈜ 67
 
4.5%
스 49
 
3.3%
코 37
 
2.5%
에 36
 
2.4%
사 36
 
2.4%
트 35
 
2.3%
리 34
 
2.3%
아 32
 
2.1%
Other values (249) 985
65.6%
Latin
ValueCountFrequency (%)
e 5
 
6.0%
c 5
 
6.0%
n 4
 
4.8%
D 4
 
4.8%
A 4
 
4.8%
T 4
 
4.8%
N 3
 
3.6%
O 3
 
3.6%
K 3
 
3.6%
I 3
 
3.6%
Other values (24) 46
54.8%
Common
ValueCountFrequency (%)
( 71
34.0%
) 71
34.0%
59
28.2%
. 5
 
2.4%
& 1
 
0.5%
0 1
 
0.5%
1 1
 
0.5%
Han
ValueCountFrequency (%)
味 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1435
79.9%
ASCII 293
 
16.3%
None 67
 
3.7%
CJK 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 105
 
7.3%
주 86
 
6.0%
스 49
 
3.4%
코 37
 
2.6%
에 36
 
2.5%
사 36
 
2.5%
트 35
 
2.4%
리 34
 
2.4%
아 32
 
2.2%
회 25
 
1.7%
Other values (248) 960
66.9%
ASCII
ValueCountFrequency (%)
( 71
24.2%
) 71
24.2%
59
20.1%
e 5
 
1.7%
c 5
 
1.7%
. 5
 
1.7%
n 4
 
1.4%
D 4
 
1.4%
A 4
 
1.4%
T 4
 
1.4%
Other values (31) 61
20.8%
None
ValueCountFrequency (%)
㈜ 67
100.0%
CJK
ValueCountFrequency (%)
味 1
100.0%

소재지주소(도로명)
Text

Distinct242
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-13T05:11:05.234558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length50
Mean length40.609562
Min length23

Characters and Unicode

Total characters10193
Distinct characters248
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique233 ?
Unique (%)92.8%

Sample

1st row경기도 성남시 분당구 장안로16번길 14, 303호 (분당동)
2nd row경기도 성남시 분당구 서현로429번길 30 (분당동)
3rd row경기도 성남시 분당구 돌마로 80, 832호 (구미동,현대벤쳐빌)
4th row경기도 성남시 분당구 백현로 265 (수내동)
5th row경기도 성남시 분당구 양현로166번길 15, 장수빌딩 304동 (이매동)
ValueCountFrequency (%)
경기도 251
 
12.3%
성남시 251
 
12.3%
분당구 157
 
7.7%
중원구 59
 
2.9%
상대원동 43
 
2.1%
수정구 35
 
1.7%
b동 28
 
1.4%
정자일로 27
 
1.3%
정자동 27
 
1.3%
구미동 22
 
1.1%
Other values (587) 1147
56.0%
2023-12-13T05:11:05.643157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1814
 
17.8%
1 366
 
3.6%
동 364
 
3.6%
, 310
 
3.0%
성 297
 
2.9%
남 293
 
2.9%
구 284
 
2.8%
기 271
 
2.7%
시 267
 
2.6%
도 256
 
2.5%
Other values (238) 5671
55.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5783
56.7%
Space Separator 1814
 
17.8%
Decimal Number 1610
 
15.8%
Other Punctuation 310
 
3.0%
Open Punctuation 244
 
2.4%
Close Punctuation 244
 
2.4%
Uppercase Letter 126
 
1.2%
Dash Punctuation 41
 
0.4%
Letter Number 11
 
0.1%
Lowercase Letter 9
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 364
 
6.3%
성 297
 
5.1%
남 293
 
5.1%
구 284
 
4.9%
기 271
 
4.7%
시 267
 
4.6%
도 256
 
4.4%
경 252
 
4.4%
로 252
 
4.4%
호 194
 
3.4%
Other values (203) 3053
52.8%
Uppercase Letter
ValueCountFrequency (%)
B 41
32.5%
A 23
18.3%
C 12
 
9.5%
S 10
 
7.9%
K 10
 
7.9%
I 6
 
4.8%
T 5
 
4.0%
D 4
 
3.2%
Z 3
 
2.4%
L 3
 
2.4%
Other values (5) 9
 
7.1%
Decimal Number
ValueCountFrequency (%)
1 366
22.7%
2 240
14.9%
0 221
13.7%
3 182
11.3%
4 152
9.4%
5 119
 
7.4%
7 119
 
7.4%
6 93
 
5.8%
8 67
 
4.2%
9 51
 
3.2%
Lowercase Letter
ValueCountFrequency (%)
n 6
66.7%
b 2
 
22.2%
c 1
 
11.1%
Space Separator
ValueCountFrequency (%)
1814
100.0%
Other Punctuation
ValueCountFrequency (%)
, 310
100.0%
Open Punctuation
ValueCountFrequency (%)
( 244
100.0%
Close Punctuation
ValueCountFrequency (%)
) 244
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 41
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 11
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5783
56.7%
Common 4264
41.8%
Latin 146
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 364
 
6.3%
성 297
 
5.1%
남 293
 
5.1%
구 284
 
4.9%
기 271
 
4.7%
시 267
 
4.6%
도 256
 
4.4%
경 252
 
4.4%
로 252
 
4.4%
호 194
 
3.4%
Other values (203) 3053
52.8%
Latin
ValueCountFrequency (%)
B 41
28.1%
A 23
15.8%
C 12
 
8.2%
Ⅱ 11
 
7.5%
S 10
 
6.8%
K 10
 
6.8%
n 6
 
4.1%
I 6
 
4.1%
T 5
 
3.4%
D 4
 
2.7%
Other values (9) 18
12.3%
Common
ValueCountFrequency (%)
1814
42.5%
1 366
 
8.6%
, 310
 
7.3%
( 244
 
5.7%
) 244
 
5.7%
2 240
 
5.6%
0 221
 
5.2%
3 182
 
4.3%
4 152
 
3.6%
5 119
 
2.8%
Other values (6) 372
 
8.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5783
56.7%
ASCII 4399
43.2%
Number Forms 11
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1814
41.2%
1 366
 
8.3%
, 310
 
7.0%
( 244
 
5.5%
) 244
 
5.5%
2 240
 
5.5%
0 221
 
5.0%
3 182
 
4.1%
4 152
 
3.5%
5 119
 
2.7%
Other values (24) 507
 
11.5%
Hangul
ValueCountFrequency (%)
동 364
 
6.3%
성 297
 
5.1%
남 293
 
5.1%
구 284
 
4.9%
기 271
 
4.7%
시 267
 
4.6%
도 256
 
4.4%
경 252
 
4.4%
로 252
 
4.4%
호 194
 
3.4%
Other values (203) 3053
52.8%
Number Forms
ValueCountFrequency (%)
Ⅱ 11
100.0%

Interactions

2023-12-13T05:11:03.620796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T05:11:05.725934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번사료제조업구분
연번1.0000.463
사료제조업구분0.4631.000
2023-12-13T05:11:05.796765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번사료제조업구분
연번1.0000.290
사료제조업구분0.2901.000

Missing values

2023-12-13T05:11:03.724442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T05:11:03.803933image/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

연번사료제조업구분제조업체명소재지주소(도로명)
01수입기민무역경기도 성남시 분당구 장안로16번길 14, 303호 (분당동)
12수입㈜코스마약품경기도 성남시 분당구 서현로429번길 30 (분당동)
23수입㈜씨트렉스경기도 성남시 분당구 돌마로 80, 832호 (구미동,현대벤쳐빌)
34수입㈜세교축산경기도 성남시 분당구 백현로 265 (수내동)
45수입MBS무역경기도 성남시 분당구 양현로166번길 15, 장수빌딩 304동 (이매동)
56수입㈜협성경기도 성남시 중원구 시민로6번길 20 (하대원동)
67수입상아콘티넨탈경기도 성남시 분당구 분당동 176-3
78수입㈜케이제이코퍼레이션경기도 성남시 분당구 벌말로29번길 10 (야탑동)
89단미㈜세창환경경기도 성남시 수정구 탄천로 687 (태평동)
910단미(주)세창환경경기도 성남시 수정구 탄천로 687 (태평동)
연번사료제조업구분제조업체명소재지주소(도로명)
241242단미주식회사 피앤엘푸드경기도 성남시 분당구 내정로113번길 4, 판교시장 205-2호 (정자동)
242243수입주식회사 코딩스미시경기도 성남시 분당구 탄천상로 164, 시그마2오피스텔 C동 208호 (구미동)
243244수입(주)비톤경기도 성남시 분당구 판교역로192번길 16, 판교타워 806호A691호 (삼평동)
244245수입스마일모닝 주식회사경기도 성남시 분당구 판교역로 230, B동 507-1호 (삼평동)
245246단미디디디아이경기도 성남시 중원구 도촌남로 24, 상가동 203호 (도촌동, 휴먼시아섬마을2단지아파트)
246247단미까까달래경기도 성남시 분당구 성남대로 51, 분당포스빌오피스텔 B1층 51호 (구미동)
247248단미인터코어경기도 성남시 중원구 갈마치로 314, 성남 센트럴비즈타워 1 11층 1128호 (상대원동)
248249수입동국산업(주)경기도 성남시 분당구 판교역로 230, 삼환하이펙스 B동 305호 (삼평동)
249250단미왈왈시즈닝경기도 성남시 수정구 위례광장로 36, 2동 4A-112호 (창곡동, 위례역 푸르지오 4단지)
250251단미견주당경기도 성남시 분당구 장미로132번길 11-5, 101호 (야탑동)