Overview

Dataset statistics

Number of variables7
Number of observations450
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory25.2 KiB
Average record size in memory57.3 B

Variable types

Numeric1
Text5
Categorical1

Dataset

DescriptionaT 식품기업지원관리시스템에서 제공하는 농공상 기업 현황으로, 사업연도 및 주관경영체명, 융합사업명, 유효기간 및 주소 등의 정보입니다.
URLhttps://www.data.go.kr/data/15072413/fileData.do

Reproduction

Analysis started2023-12-12 03:20:32.368821
Analysis finished2023-12-12 03:20:33.733641
Duration1.36 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사업연도
Real number (ℝ)

Distinct6
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2019.8244
Minimum2017
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.1 KiB
2023-12-12T12:20:33.825342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2017
5-th percentile2017
Q12018
median2020
Q32022
95-th percentile2022
Maximum2022
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.8308973
Coefficient of variation (CV)0.00090646361
Kurtosis-1.3348047
Mean2019.8244
Median Absolute Deviation (MAD)2
Skewness-0.23760327
Sum908921
Variance3.3521851
MonotonicityDecreasing
2023-12-12T12:20:34.000148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2022 126
28.0%
2017 77
17.1%
2019 73
16.2%
2021 65
14.4%
2020 63
14.0%
2018 46
 
10.2%
ValueCountFrequency (%)
2017 77
17.1%
2018 46
 
10.2%
2019 73
16.2%
2020 63
14.0%
2021 65
14.4%
2022 126
28.0%
ValueCountFrequency (%)
2022 126
28.0%
2021 65
14.4%
2020 63
14.0%
2019 73
16.2%
2018 46
 
10.2%
2017 77
17.1%

인증번호
Text

Distinct442
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
2023-12-12T12:20:34.521909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length8
Min length8

Characters and Unicode

Total characters3600
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique434 ?
Unique (%)96.4%

Sample

1st row2012-272
2nd row2011-037
3rd row2012-296
4th row2012-214
5th row2012-248
ValueCountFrequency (%)
2020-017 2
 
0.4%
2017-037 2
 
0.4%
2019-002 2
 
0.4%
2019-013 2
 
0.4%
2020-049 2
 
0.4%
2018-027 2
 
0.4%
2015-027 2
 
0.4%
2017-035 2
 
0.4%
2019-023 1
 
0.2%
2019-026 1
 
0.2%
Other values (432) 432
96.0%
2023-12-12T12:20:35.186501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1041
28.9%
2 791
22.0%
1 517
14.4%
- 450
12.5%
7 150
 
4.2%
9 123
 
3.4%
3 113
 
3.1%
5 106
 
2.9%
4 105
 
2.9%
6 105
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3150
87.5%
Dash Punctuation 450
 
12.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1041
33.0%
2 791
25.1%
1 517
16.4%
7 150
 
4.8%
9 123
 
3.9%
3 113
 
3.6%
5 106
 
3.4%
4 105
 
3.3%
6 105
 
3.3%
8 99
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 450
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3600
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1041
28.9%
2 791
22.0%
1 517
14.4%
- 450
12.5%
7 150
 
4.2%
9 123
 
3.4%
3 113
 
3.1%
5 106
 
2.9%
4 105
 
2.9%
6 105
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3600
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1041
28.9%
2 791
22.0%
1 517
14.4%
- 450
12.5%
7 150
 
4.2%
9 123
 
3.4%
3 113
 
3.1%
5 106
 
2.9%
4 105
 
2.9%
6 105
 
2.9%

주관경영체명
Text

Distinct443
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
2023-12-12T12:20:35.579469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length16
Mean length11.171111
Min length2

Characters and Unicode

Total characters5027
Distinct characters405
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique436 ?
Unique (%)96.9%

Sample

1st row농업회사법인(주)고려전통식품
2nd row(주)가보팜스
3rd row정성드리
4th row(주)화성한과
5th row남영제약영농조합
ValueCountFrequency (%)
농업회사법인 97
 
14.5%
주식회사 69
 
10.3%
영농조합법인 15
 
2.2%
유한회사 6
 
0.9%
농업회사법인주식회사 4
 
0.6%
주 4
 
0.6%
농업회사법인유한회사 3
 
0.4%
오엠오 2
 
0.3%
주)농업회사법인 2
 
0.3%
법인 2
 
0.3%
Other values (458) 467
69.6%
2023-12-12T12:20:36.131845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 354
 
7.0%
회 345
 
6.9%
농 330
 
6.6%
인 296
 
5.9%
주 287
 
5.7%
법 275
 
5.5%
221
 
4.4%
업 207
 
4.1%
식 173
 
3.4%
) 167
 
3.3%
Other values (395) 2372
47.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4442
88.4%
Space Separator 221
 
4.4%
Close Punctuation 167
 
3.3%
Open Punctuation 164
 
3.3%
Uppercase Letter 16
 
0.3%
Other Punctuation 6
 
0.1%
Other Symbol 5
 
0.1%
Lowercase Letter 3
 
0.1%
Decimal Number 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 354
 
8.0%
회 345
 
7.8%
농 330
 
7.4%
인 296
 
6.7%
주 287
 
6.5%
법 275
 
6.2%
업 207
 
4.7%
식 173
 
3.9%
영 91
 
2.0%
조 86
 
1.9%
Other values (373) 1998
45.0%
Uppercase Letter
ValueCountFrequency (%)
F 5
31.2%
B 2
 
12.5%
D 2
 
12.5%
S 2
 
12.5%
N 1
 
6.2%
C 1
 
6.2%
G 1
 
6.2%
R 1
 
6.2%
K 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
& 4
66.7%
; 1
 
16.7%
/ 1
 
16.7%
Lowercase Letter
ValueCountFrequency (%)
a 1
33.3%
m 1
33.3%
p 1
33.3%
Decimal Number
ValueCountFrequency (%)
2 1
33.3%
9 1
33.3%
3 1
33.3%
Space Separator
ValueCountFrequency (%)
221
100.0%
Close Punctuation
ValueCountFrequency (%)
) 167
100.0%
Open Punctuation
ValueCountFrequency (%)
( 164
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4447
88.5%
Common 561
 
11.2%
Latin 19
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 354
 
8.0%
회 345
 
7.8%
농 330
 
7.4%
인 296
 
6.7%
주 287
 
6.5%
법 275
 
6.2%
업 207
 
4.7%
식 173
 
3.9%
영 91
 
2.0%
조 86
 
1.9%
Other values (374) 2003
45.0%
Latin
ValueCountFrequency (%)
F 5
26.3%
B 2
 
10.5%
D 2
 
10.5%
S 2
 
10.5%
a 1
 
5.3%
m 1
 
5.3%
p 1
 
5.3%
N 1
 
5.3%
C 1
 
5.3%
G 1
 
5.3%
Other values (2) 2
 
10.5%
Common
ValueCountFrequency (%)
221
39.4%
) 167
29.8%
( 164
29.2%
& 4
 
0.7%
; 1
 
0.2%
/ 1
 
0.2%
2 1
 
0.2%
9 1
 
0.2%
3 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4442
88.4%
ASCII 580
 
11.5%
None 5
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 354
 
8.0%
회 345
 
7.8%
농 330
 
7.4%
인 296
 
6.7%
주 287
 
6.5%
법 275
 
6.2%
업 207
 
4.7%
식 173
 
3.9%
영 91
 
2.0%
조 86
 
1.9%
Other values (373) 1998
45.0%
ASCII
ValueCountFrequency (%)
221
38.1%
) 167
28.8%
( 164
28.3%
F 5
 
0.9%
& 4
 
0.7%
B 2
 
0.3%
D 2
 
0.3%
S 2
 
0.3%
a 1
 
0.2%
m 1
 
0.2%
Other values (11) 11
 
1.9%
None
ValueCountFrequency (%)
㈜ 5
100.0%

사업유형
Categorical

Distinct4
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
농업경영형
235 
전략적제휴형
206 
네트워크형
 
7
공동출자형
 
2

Length

Max length6
Median length5
Mean length5.4577778
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row전략적제휴형
2nd row전략적제휴형
3rd row전략적제휴형
4th row전략적제휴형
5th row공동출자형

Common Values

ValueCountFrequency (%)
농업경영형 235
52.2%
전략적제휴형 206
45.8%
네트워크형 7
 
1.6%
공동출자형 2
 
0.4%

Length

2023-12-12T12:20:36.360167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:20:36.568029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
농업경영형 235
52.2%
전략적제휴형 206
45.8%
네트워크형 7
 
1.6%
공동출자형 2
 
0.4%

융합사업명
Text

Distinct444
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
2023-12-12T12:20:36.987131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length100
Median length43
Mean length26.98
Min length5

Characters and Unicode

Total characters12141
Distinct characters556
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique439 ?
Unique (%)97.6%

Sample

1st row장류 제조 판매 및 체험사업
2nd row양봉산물과 지역특산물 융합한 고부가가치 상품개
3rd row홈쇼핑 공동마케팅 판매 확대 사업
4th row친환경 유기쌀을 주원료로 이용한 쌀조청, 올리고당, 캔디류 개발
5th row연구개발 성과사업화 신제품 개발
ValueCountFrequency (%)
및 146
 
5.2%
개발 117
 
4.2%
활용한 111
 
3.9%
이용한 97
 
3.4%
사업 76
 
2.7%
가공 46
 
1.6%
국산 35
 
1.2%
제조 34
 
1.2%
통한 33
 
1.2%
제품 31
 
1.1%
Other values (1344) 2093
74.2%
2023-12-12T12:20:37.602776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2380
 
19.6%
한 318
 
2.6%
산 294
 
2.4%
용 266
 
2.2%
품 263
 
2.2%
가 260
 
2.1%
업 247
 
2.0%
사 238
 
2.0%
발 228
 
1.9%
개 215
 
1.8%
Other values (546) 7432
61.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9250
76.2%
Space Separator 2387
 
19.7%
Other Punctuation 184
 
1.5%
Uppercase Letter 99
 
0.8%
Lowercase Letter 82
 
0.7%
Decimal Number 49
 
0.4%
Close Punctuation 39
 
0.3%
Open Punctuation 39
 
0.3%
Dash Punctuation 8
 
0.1%
Initial Punctuation 2
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
한 318
 
3.4%
산 294
 
3.2%
용 266
 
2.9%
품 263
 
2.8%
가 260
 
2.8%
업 247
 
2.7%
사 238
 
2.6%
발 228
 
2.5%
개 215
 
2.3%
공 192
 
2.1%
Other values (479) 6729
72.7%
Uppercase Letter
ValueCountFrequency (%)
I 9
 
9.1%
P 9
 
9.1%
M 9
 
9.1%
G 8
 
8.1%
A 8
 
8.1%
R 7
 
7.1%
T 7
 
7.1%
H 7
 
7.1%
C 6
 
6.1%
F 5
 
5.1%
Other values (12) 24
24.2%
Lowercase Letter
ValueCountFrequency (%)
a 14
17.1%
m 10
12.2%
p 9
11.0%
o 7
8.5%
t 5
 
6.1%
l 5
 
6.1%
e 5
 
6.1%
u 4
 
4.9%
i 3
 
3.7%
g 3
 
3.7%
Other values (10) 17
20.7%
Other Punctuation
ValueCountFrequency (%)
, 136
73.9%
/ 13
 
7.1%
& 11
 
6.0%
; 11
 
6.0%
% 5
 
2.7%
. 3
 
1.6%
: 2
 
1.1%
# 2
 
1.1%
· 1
 
0.5%
Decimal Number
ValueCountFrequency (%)
0 15
30.6%
1 8
16.3%
2 6
 
12.2%
6 6
 
12.2%
4 4
 
8.2%
5 4
 
8.2%
9 4
 
8.2%
3 2
 
4.1%
Space Separator
ValueCountFrequency (%)
2380
99.7%
　 7
 
0.3%
Close Punctuation
ValueCountFrequency (%)
) 39
100.0%
Open Punctuation
ValueCountFrequency (%)
( 39
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Initial Punctuation
ValueCountFrequency (%)
“ 2
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%
Final Punctuation
ValueCountFrequency (%)
” 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9246
76.2%
Common 2710
 
22.3%
Latin 181
 
1.5%
Han 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
한 318
 
3.4%
산 294
 
3.2%
용 266
 
2.9%
품 263
 
2.8%
가 260
 
2.8%
업 247
 
2.7%
사 238
 
2.6%
발 228
 
2.5%
개 215
 
2.3%
공 192
 
2.1%
Other values (475) 6725
72.7%
Latin
ValueCountFrequency (%)
a 14
 
7.7%
m 10
 
5.5%
I 9
 
5.0%
P 9
 
5.0%
p 9
 
5.0%
M 9
 
5.0%
G 8
 
4.4%
A 8
 
4.4%
R 7
 
3.9%
T 7
 
3.9%
Other values (32) 91
50.3%
Common
ValueCountFrequency (%)
2380
87.8%
, 136
 
5.0%
) 39
 
1.4%
( 39
 
1.4%
0 15
 
0.6%
/ 13
 
0.5%
& 11
 
0.4%
; 11
 
0.4%
- 8
 
0.3%
1 8
 
0.3%
Other values (15) 50
 
1.8%
Han
ValueCountFrequency (%)
茶 1
25.0%
氣 1
25.0%
竹 1
25.0%
瀝 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9246
76.2%
ASCII 2880
 
23.7%
None 8
 
0.1%
Punctuation 3
 
< 0.1%
CJK 3
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2380
82.6%
, 136
 
4.7%
) 39
 
1.4%
( 39
 
1.4%
0 15
 
0.5%
a 14
 
0.5%
/ 13
 
0.5%
& 11
 
0.4%
; 11
 
0.4%
m 10
 
0.3%
Other values (53) 212
 
7.4%
Hangul
ValueCountFrequency (%)
한 318
 
3.4%
산 294
 
3.2%
용 266
 
2.9%
품 263
 
2.8%
가 260
 
2.8%
업 247
 
2.7%
사 238
 
2.6%
발 228
 
2.5%
개 215
 
2.3%
공 192
 
2.1%
Other values (475) 6725
72.7%
None
ValueCountFrequency (%)
　 7
87.5%
· 1
 
12.5%
Punctuation
ValueCountFrequency (%)
“ 2
66.7%
” 1
33.3%
CJK Compat Ideographs
ValueCountFrequency (%)
茶 1
100.0%
CJK
ValueCountFrequency (%)
氣 1
33.3%
竹 1
33.3%
瀝 1
33.3%

주소
Text

Distinct446
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
2023-12-12T12:20:38.057820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length43
Mean length29.026667
Min length8

Characters and Unicode

Total characters13062
Distinct characters466
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

Unique442 ?
Unique (%)98.2%

Sample

1st row전남 담양군 창평면 유천리 187-1
2nd row전라남도 나주시 동수농공단지길 30-29 (운곡동) (주)가보팜스
3rd row경상남도 하동군 금남면 섬진강대로 650-3 정성드리
4th row경기도 화성시 양감면 초록로 471-8 471-8
5th row전북 무주군 무주읍 무금로 93 남영제약
ValueCountFrequency (%)
경기도 74
 
2.7%
전라남도 55
 
2.0%
전라북도 54
 
2.0%
경상북도 46
 
1.7%
강원도 40
 
1.4%
31
 
1.1%
경상남도 29
 
1.0%
충청남도 28
 
1.0%
1층 27
 
1.0%
충청북도 26
 
0.9%
Other values (1640) 2354
85.2%
2023-12-12T12:20:38.779506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2322
 
17.8%
1 450
 
3.4%
도 406
 
3.1%
시 304
 
2.3%
로 285
 
2.2%
2 273
 
2.1%
면 250
 
1.9%
길 224
 
1.7%
주 214
 
1.6%
3 206
 
1.6%
Other values (456) 8128
62.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8270
63.3%
Space Separator 2322
 
17.8%
Decimal Number 1957
 
15.0%
Dash Punctuation 188
 
1.4%
Close Punctuation 110
 
0.8%
Open Punctuation 108
 
0.8%
Other Punctuation 47
 
0.4%
Lowercase Letter 39
 
0.3%
Uppercase Letter 20
 
0.2%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 406
 
4.9%
시 304
 
3.7%
로 285
 
3.4%
면 250
 
3.0%
길 224
 
2.7%
주 214
 
2.6%
경 201
 
2.4%
군 191
 
2.3%
북 181
 
2.2%
남 174
 
2.1%
Other values (411) 5840
70.6%
Lowercase Letter
ValueCountFrequency (%)
r 6
15.4%
a 4
10.3%
o 4
10.3%
i 3
7.7%
t 3
7.7%
l 3
7.7%
c 3
7.7%
b 2
 
5.1%
p 2
 
5.1%
u 2
 
5.1%
Other values (6) 7
17.9%
Decimal Number
ValueCountFrequency (%)
1 450
23.0%
2 273
13.9%
3 206
10.5%
4 200
10.2%
5 166
 
8.5%
0 146
 
7.5%
7 136
 
6.9%
6 135
 
6.9%
8 124
 
6.3%
9 121
 
6.2%
Uppercase Letter
ValueCountFrequency (%)
B 9
45.0%
F 4
20.0%
D 1
 
5.0%
I 1
 
5.0%
T 1
 
5.0%
P 1
 
5.0%
K 1
 
5.0%
A 1
 
5.0%
S 1
 
5.0%
Other Punctuation
ValueCountFrequency (%)
. 30
63.8%
, 14
29.8%
· 1
 
2.1%
; 1
 
2.1%
& 1
 
2.1%
Space Separator
ValueCountFrequency (%)
2322
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 188
100.0%
Close Punctuation
ValueCountFrequency (%)
) 110
100.0%
Open Punctuation
ValueCountFrequency (%)
( 108
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8270
63.3%
Common 4733
36.2%
Latin 59
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 406
 
4.9%
시 304
 
3.7%
로 285
 
3.4%
면 250
 
3.0%
길 224
 
2.7%
주 214
 
2.6%
경 201
 
2.4%
군 191
 
2.3%
북 181
 
2.2%
남 174
 
2.1%
Other values (411) 5840
70.6%
Latin
ValueCountFrequency (%)
B 9
15.3%
r 6
 
10.2%
a 4
 
6.8%
F 4
 
6.8%
o 4
 
6.8%
i 3
 
5.1%
t 3
 
5.1%
l 3
 
5.1%
c 3
 
5.1%
b 2
 
3.4%
Other values (15) 18
30.5%
Common
ValueCountFrequency (%)
2322
49.1%
1 450
 
9.5%
2 273
 
5.8%
3 206
 
4.4%
4 200
 
4.2%
- 188
 
4.0%
5 166
 
3.5%
0 146
 
3.1%
7 136
 
2.9%
6 135
 
2.9%
Other values (10) 511
 
10.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8270
63.3%
ASCII 4791
36.7%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2322
48.5%
1 450
 
9.4%
2 273
 
5.7%
3 206
 
4.3%
4 200
 
4.2%
- 188
 
3.9%
5 166
 
3.5%
0 146
 
3.0%
7 136
 
2.8%
6 135
 
2.8%
Other values (34) 569
 
11.9%
Hangul
ValueCountFrequency (%)
도 406
 
4.9%
시 304
 
3.7%
로 285
 
3.4%
면 250
 
3.0%
길 224
 
2.7%
주 214
 
2.6%
경 201
 
2.4%
군 191
 
2.3%
북 181
 
2.2%
남 174
 
2.1%
Other values (411) 5840
70.6%
None
ValueCountFrequency (%)
· 1
100.0%

대표전화
Text

Distinct441
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
2023-12-12T12:20:39.123091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.082222
Min length11

Characters and Unicode

Total characters5437
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique432 ?
Unique (%)96.0%

Sample

1st row061-383-6209
2nd row061-334-1161
3rd row055-884-5575
4th row031-352-5422
5th row063-322-4985
ValueCountFrequency (%)
043-536-2546 2
 
0.4%
031-761-4564 2
 
0.4%
041-733-1112 2
 
0.4%
033-441-1302 2
 
0.4%
031-592-3651 2
 
0.4%
063-211-9400 2
 
0.4%
031-633-3685 2
 
0.4%
033-631-4982 2
 
0.4%
070-4681-3300 2
 
0.4%
031-677-8926 1
 
0.2%
Other values (431) 431
95.8%
2023-12-12T12:20:39.610009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 900
16.6%
0 801
14.7%
3 667
12.3%
5 470
8.6%
4 462
8.5%
1 438
8.1%
6 430
7.9%
2 368
6.8%
7 336
 
6.2%
8 335
 
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4537
83.4%
Dash Punctuation 900
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 801
17.7%
3 667
14.7%
5 470
10.4%
4 462
10.2%
1 438
9.7%
6 430
9.5%
2 368
8.1%
7 336
7.4%
8 335
7.4%
9 230
 
5.1%
Dash Punctuation
ValueCountFrequency (%)
- 900
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5437
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 900
16.6%
0 801
14.7%
3 667
12.3%
5 470
8.6%
4 462
8.5%
1 438
8.1%
6 430
7.9%
2 368
6.8%
7 336
 
6.2%
8 335
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5437
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 900
16.6%
0 801
14.7%
3 667
12.3%
5 470
8.6%
4 462
8.5%
1 438
8.1%
6 430
7.9%
2 368
6.8%
7 336
 
6.2%
8 335
 
6.2%

Interactions

2023-12-12T12:20:33.276906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T12:20:39.715690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업연도사업유형
사업연도1.0000.013
사업유형0.0131.000
2023-12-12T12:20:39.817468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업연도사업유형
사업연도1.0000.055
사업유형0.0551.000

Missing values

2023-12-12T12:20:33.461678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T12:20:33.660515image/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

사업연도인증번호주관경영체명사업유형융합사업명주소대표전화
020222012-272농업회사법인(주)고려전통식품전략적제휴형장류 제조 판매 및 체험사업전남 담양군 창평면 유천리 187-1061-383-6209
120222011-037(주)가보팜스전략적제휴형양봉산물과 지역특산물 융합한 고부가가치 상품개전라남도 나주시 동수농공단지길 30-29 (운곡동) (주)가보팜스061-334-1161
220222012-296정성드리전략적제휴형홈쇼핑 공동마케팅 판매 확대 사업경상남도 하동군 금남면 섬진강대로 650-3 정성드리055-884-5575
320222012-214(주)화성한과전략적제휴형친환경 유기쌀을 주원료로 이용한 쌀조청, 올리고당, 캔디류 개발경기도 화성시 양감면 초록로 471-8 471-8031-352-5422
420222012-248남영제약영농조합공동출자형연구개발 성과사업화 신제품 개발전북 무주군 무주읍 무금로 93 남영제약063-322-4985
520222012-217농업회사법인 주식회사시드피아전략적제휴형도입품종(벼) 대체 품종개발에 의한 고부가가치 창출 및 사업화경기도 수원시 권선구 매실로 85 (주)시드피아070-4125-7959
620222015-020운두란농업경영형지역특산물을 활용한 기능성발효식품 명품화 사업충청남도 예산군 예산읍 벚꽃로 295 운두란041-335-4745
720222016-082지리산피아골식품영농조합법인농업경영형피아골미선씨 더덕양념개발전라남도 구례군 토지면 직전길 15 지리산피아골식품 영농조합법인061-782-3468
820222016-037조내기고구마(주)농업경영형고구마가공식품의 전세계 판매부산광역시 영도구 웃서발로 78 동삼동051-403-9996
920222012-157황수연전통식품 영농조합법인농업경영형검은콩청국장 가루를 활용한 단백질 쉐이크 개발전라북도 익산시 금마면 고도길 75 황수연전통식품 영농조합법인063-835-5440
사업연도인증번호주관경영체명사업유형융합사업명주소대표전화
44020172017-012(농)(주)제일영농농업경영형벼꽃농부의 로컬푸드경기도 김포시 하성면 마곡로 239 (농)(주)제일영농031-989-3300
44120172017-028흙마루영농조합법인전략적제휴형친환경인증 쌀눈의 생산 및 코팅곡류 양산 시스템 확립전라북도 남원시 보절면 내황길 15-18 흙마루영농조합법인063-633-2934
44220172017-011주식회사 현도바이오푸드전략적제휴형고흥지역의 친환경잡곡을 이용한 죽제품개발전라남도 고흥군 동강면 청정식품단지길 58 1층061-833-9521
44320172017-023영농조합법인 강화재순네식품농업경영형강화 콩을 활용한 전통장류의 대중화 및 세계화인천광역시 강화군 길상면 신촌로146번길 14-10 영농조합법인 강화재순네식품032-937-9057
44420172017-020농업회사법인(유)콩마을전략적제휴형고품질 농산물을 이용한 소규모 HACCP 인증 청국장 가공제품 개발전라북도 임실군 성수면 산성로 658 농업회사법인(유)콩마을063-642-3151
44520172017-027농업회사법인 주식회사 참사랑농업경영형참외 가공을 통한 참외 농축액 수출 및 국내유통 활성화경상북도 성주군 용암면 덕평로 116 농업회사법인 주식회사 참사랑054-931-5429
44620172017-022농)유)새만금 유기농 꾸지뽕농업경영형농공상융합형 중소기업 확인서전북 김제시 금산면 금산사4길208 1층070-4402-7766
44720172017-009농업회사법인금산흑삼주식회사농업경영형국내외 유통채널 확산을 통한 지역자원 활용도 제고충청남도 금산군 부리면 인삼약초공단로 15 금산흑삼주식회사041-754-0893
44820172017-015농업회사법인 강화마니(주)농업경영형사자발 약쑥을 이용한 복합가공 사업(조청파우더)인천광역시 강화군 화도면 마니산로 750-21 강화마니032-215-2483
44920172017-007농업회사법인 주식회사 정성농장농업경영형GAP인삼 확산으로 농민, 가공업자, 소비자 모두가 WIN-WIN-WIN충청남도 금산군 금성면 다락동길 36 .041-754-0884