Overview

Dataset statistics

Number of variables10
Number of observations31
Missing cells1
Missing cells (%)0.3%
Duplicate rows1
Duplicate rows (%)3.2%
Total size in memory2.6 KiB
Average record size in memory87.3 B

Variable types

Categorical4
Text4
Numeric1
DateTime1

Dataset

Description경기도 광주시 관내 위치한 비료생산업 등록현황에 대한 데이터로 상호명, 주소, 전화번호, 비료의 종류, 생산 능력, 제조원료 및 투입비율 등을 제공합니다.
URLhttps://www.data.go.kr/data/15035492/fileData.do

Alerts

시군명 has constant value ""Constant
데이터기준일 has constant value ""Constant
Dataset has 1 (3.2%) duplicate rowsDuplicates
경도 is highly overall correlated with 생산능력 and 2 other fieldsHigh correlation
비료의 종류 및 명칭 is highly overall correlated with 위도 and 1 other fieldsHigh correlation
위도 is highly overall correlated with 생산능력 and 2 other fieldsHigh correlation
생산능력 is highly overall correlated with 위도 and 1 other fieldsHigh correlation
위도 is highly imbalanced (69.4%)Imbalance
경도 is highly imbalanced (69.4%)Imbalance
전화번호 has 1 (3.2%) missing valuesMissing
생산능력 has 14 (45.2%) zerosZeros

Reproduction

Analysis started2023-12-12 08:03:21.439129
Analysis finished2023-12-12 08:03:22.325224
Duration0.89 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size380.0 B
광주시
31 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
광주시 31
100.0%

Length

2023-12-12T17:03:22.406143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:03:22.513031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
광주시 31
100.0%

법인(상호)명
Text

Distinct21
Distinct (%)67.7%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023-12-12T17:03:22.790937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length16
Mean length7.5483871
Min length2

Characters and Unicode

Total characters234
Distinct characters77
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

Unique13 ?
Unique (%)41.9%

Sample

1st row토비
2nd row삼광농장
3rd row(주)기영비료
4th row(주)키그린
5th row(주)키그린
ValueCountFrequency (%)
주식회사 3
 
8.3%
우리산업 3
 
8.3%
코리아팜텍 3
 
8.3%
주식회사선두기업 2
 
5.6%
주)키그린 2
 
5.6%
티엠리서치주식회사 2
 
5.6%
주)대성아그로 2
 
5.6%
도림화학주식회사 2
 
5.6%
주)거성바이오 2
 
5.6%
토비 1
 
2.8%
Other values (14) 14
38.9%
2023-12-12T17:03:23.164662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 24
 
10.3%
( 12
 
5.1%
) 12
 
5.1%
회 11
 
4.7%
사 11
 
4.7%
식 10
 
4.3%
리 8
 
3.4%
업 7
 
3.0%
아 6
 
2.6%
오 5
 
2.1%
Other values (67) 128
54.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 205
87.6%
Open Punctuation 12
 
5.1%
Close Punctuation 12
 
5.1%
Space Separator 5
 
2.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 24
 
11.7%
회 11
 
5.4%
사 11
 
5.4%
식 10
 
4.9%
리 8
 
3.9%
업 7
 
3.4%
아 6
 
2.9%
오 5
 
2.4%
이 5
 
2.4%
코 5
 
2.4%
Other values (64) 113
55.1%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 205
87.6%
Common 29
 
12.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 24
 
11.7%
회 11
 
5.4%
사 11
 
5.4%
식 10
 
4.9%
리 8
 
3.9%
업 7
 
3.4%
아 6
 
2.9%
오 5
 
2.4%
이 5
 
2.4%
코 5
 
2.4%
Other values (64) 113
55.1%
Common
ValueCountFrequency (%)
( 12
41.4%
) 12
41.4%
5
17.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 205
87.6%
ASCII 29
 
12.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 24
 
11.7%
회 11
 
5.4%
사 11
 
5.4%
식 10
 
4.9%
리 8
 
3.9%
업 7
 
3.4%
아 6
 
2.9%
오 5
 
2.4%
이 5
 
2.4%
코 5
 
2.4%
Other values (64) 113
55.1%
ASCII
ValueCountFrequency (%)
( 12
41.4%
) 12
41.4%
5
17.2%

제조장소재지도로명주소
Text

Distinct20
Distinct (%)64.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023-12-12T17:03:23.441391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length25
Mean length23.258065
Min length18

Characters and Unicode

Total characters721
Distinct characters56
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)38.7%

Sample

1st row경기도 광주시 곤지암읍 광여로 748-100
2nd row경기도 광주시 곤지암읍 오향길15번길 79-47
3rd row경기도 광주시 곤지암읍 광여로862번길 85
4th row경기도 광주시 목동 49번지 2호
5th row경기도 광주시 목동 49번지 2호
ValueCountFrequency (%)
경기도 31
17.8%
광주시 31
17.8%
초월읍 12
 
6.9%
오포읍 10
 
5.7%
2호 7
 
4.0%
무갑리 5
 
2.9%
1호 5
 
2.9%
매산리 4
 
2.3%
625번지 4
 
2.3%
32번지 3
 
1.7%
Other values (41) 62
35.6%
2023-12-12T17:03:23.825104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
143
19.8%
광 34
 
4.7%
도 33
 
4.6%
주 32
 
4.4%
시 32
 
4.4%
경 31
 
4.3%
기 31
 
4.3%
지 27
 
3.7%
번 27
 
3.7%
읍 25
 
3.5%
Other values (46) 306
42.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 443
61.4%
Space Separator 143
 
19.8%
Decimal Number 126
 
17.5%
Dash Punctuation 5
 
0.7%
Other Punctuation 4
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 34
 
7.7%
도 33
 
7.4%
주 32
 
7.2%
시 32
 
7.2%
경 31
 
7.0%
기 31
 
7.0%
지 27
 
6.1%
번 27
 
6.1%
읍 25
 
5.6%
호 22
 
5.0%
Other values (33) 149
33.6%
Decimal Number
ValueCountFrequency (%)
1 23
18.3%
2 21
16.7%
7 16
12.7%
5 16
12.7%
3 15
11.9%
4 12
9.5%
0 6
 
4.8%
8 6
 
4.8%
6 6
 
4.8%
9 5
 
4.0%
Space Separator
ValueCountFrequency (%)
143
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 443
61.4%
Common 278
38.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 34
 
7.7%
도 33
 
7.4%
주 32
 
7.2%
시 32
 
7.2%
경 31
 
7.0%
기 31
 
7.0%
지 27
 
6.1%
번 27
 
6.1%
읍 25
 
5.6%
호 22
 
5.0%
Other values (33) 149
33.6%
Common
ValueCountFrequency (%)
143
51.4%
1 23
 
8.3%
2 21
 
7.6%
7 16
 
5.8%
5 16
 
5.8%
3 15
 
5.4%
4 12
 
4.3%
0 6
 
2.2%
8 6
 
2.2%
6 6
 
2.2%
Other values (3) 14
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 443
61.4%
ASCII 278
38.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
143
51.4%
1 23
 
8.3%
2 21
 
7.6%
7 16
 
5.8%
5 16
 
5.8%
3 15
 
5.4%
4 12
 
4.3%
0 6
 
2.2%
8 6
 
2.2%
6 6
 
2.2%
Other values (3) 14
 
5.0%
Hangul
ValueCountFrequency (%)
광 34
 
7.7%
도 33
 
7.4%
주 32
 
7.2%
시 32
 
7.2%
경 31
 
7.0%
기 31
 
7.0%
지 27
 
6.1%
번 27
 
6.1%
읍 25
 
5.6%
호 22
 
5.0%
Other values (33) 149
33.6%

전화번호
Text

MISSING 

Distinct19
Distinct (%)63.3%
Missing1
Missing (%)3.2%
Memory size380.0 B
2023-12-12T17:03:24.043034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.1
Min length12

Characters and Unicode

Total characters363
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

Unique10 ?
Unique (%)33.3%

Sample

1st row031-762-7965
2nd row031-763-8498
3rd row031-797-0809
4th row031-797-0808
5th row031-797-0808
ValueCountFrequency (%)
070-8821-3993 3
 
10.0%
031-767-7677 3
 
10.0%
031-762-7965 2
 
6.7%
031-760-2248 2
 
6.7%
031-762-3353 2
 
6.7%
031-768-8256 2
 
6.7%
031-762-8489 2
 
6.7%
031-798-0112 2
 
6.7%
031-797-0808 2
 
6.7%
031-760-2251 1
 
3.3%
Other values (9) 9
30.0%
2023-12-12T17:03:24.481912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 60
16.5%
7 49
13.5%
0 47
12.9%
3 46
12.7%
1 39
10.7%
8 31
8.5%
6 30
8.3%
2 24
 
6.6%
9 21
 
5.8%
5 10
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 303
83.5%
Dash Punctuation 60
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 49
16.2%
0 47
15.5%
3 46
15.2%
1 39
12.9%
8 31
10.2%
6 30
9.9%
2 24
7.9%
9 21
6.9%
5 10
 
3.3%
4 6
 
2.0%
Dash Punctuation
ValueCountFrequency (%)
- 60
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 363
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 60
16.5%
7 49
13.5%
0 47
12.9%
3 46
12.7%
1 39
10.7%
8 31
8.5%
6 30
8.3%
2 24
 
6.6%
9 21
 
5.8%
5 10
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 363
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 60
16.5%
7 49
13.5%
0 47
12.9%
3 46
12.7%
1 39
10.7%
8 31
8.5%
6 30
8.3%
2 24
 
6.6%
9 21
 
5.8%
5 10
 
2.8%

비료의 종류 및 명칭
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)19.4%
Missing0
Missing (%)0.0%
Memory size380.0 B
복합비료(4종복합)
10 
미량요소복합비료
9 
미생물비료-토양미생물제제
5 
가축분퇴비
4 
복합비료(1종복합)
2 

Length

Max length13
Median length10
Mean length9.2580645
Min length5

Unique

Unique1 ?
Unique (%)3.2%

Sample

1st row가축분퇴비
2nd row가축분퇴비
3rd row가축분퇴비
4th row복합비료(4종복합)
5th row복합비료(4종복합)

Common Values

ValueCountFrequency (%)
복합비료(4종복합) 10
32.3%
미량요소복합비료 9
29.0%
미생물비료-토양미생물제제 5
16.1%
가축분퇴비 4
 
12.9%
복합비료(1종복합) 2
 
6.5%
아미노산 발효부산액 1
 
3.2%

Length

2023-12-12T17:03:24.640254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:03:24.798758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
복합비료(4종복합 10
31.2%
미량요소복합비료 9
28.1%
미생물비료-토양미생물제제 5
15.6%
가축분퇴비 4
 
12.5%
복합비료(1종복합 2
 
6.2%
아미노산 1
 
3.1%
발효부산액 1
 
3.1%

생산능력
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct11
Distinct (%)35.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.8470968
Minimum0
Maximum100
Zeros14
Zeros (%)45.2%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T17:03:25.039675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.5
Q33
95-th percentile55
Maximum100
Range100
Interquartile range (IQR)3

Descriptive statistics

Standard deviation22.748924
Coefficient of variation (CV)2.8990243
Kurtosis11.809402
Mean7.8470968
Median Absolute Deviation (MAD)0.5
Skewness3.5083321
Sum243.26
Variance517.51356
MonotonicityNot monotonic
2023-12-12T17:03:25.184286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0.0 14
45.2%
3.0 3
 
9.7%
5.0 3
 
9.7%
0.5 3
 
9.7%
0.6 2
 
6.5%
80.0 1
 
3.2%
100.0 1
 
3.2%
30.0 1
 
3.2%
5.46 1
 
3.2%
1.0 1
 
3.2%
ValueCountFrequency (%)
0.0 14
45.2%
0.1 1
 
3.2%
0.5 3
 
9.7%
0.6 2
 
6.5%
1.0 1
 
3.2%
3.0 3
 
9.7%
5.0 3
 
9.7%
5.46 1
 
3.2%
30.0 1
 
3.2%
80.0 1
 
3.2%
ValueCountFrequency (%)
100.0 1
 
3.2%
80.0 1
 
3.2%
30.0 1
 
3.2%
5.46 1
 
3.2%
5.0 3
9.7%
3.0 3
9.7%
1.0 1
 
3.2%
0.6 2
6.5%
0.5 3
9.7%
0.1 1
 
3.2%

제조원료 및 투입비율
Text

Distinct30
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023-12-12T17:03:25.527738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length122
Median length44
Mean length43.83871
Min length4

Characters and Unicode

Total characters1359
Distinct characters161
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)93.5%

Sample

1st row계분(45%)+돈분(15%)+톱밥(30%)+버섯배지(10%)
2nd row마분(50%)+돈분(10%)+계분(10%)+우분(2%)+버섯배지(3%)+톱밥(25%)
3rd row계분(70%)+톱밥(20%)+버섯배지(10%)
4th row황산암모늄 21.62% 인산암모늄 5.22% 염화칼륨 8.84% FDTA-Fe 1.16% EDTA-Zn 0.58% 물 및 안정제 62.58%
5th row물 43.17% KH2PO3 35.24% K2FPO3 20.55% H3BO3 0.14% EDTAFENa 0.9%
ValueCountFrequency (%)
물 12
 
5.0%
40 5
 
2.1%
질소 5
 
2.1%
5
 
2.1%
0.01 4
 
1.7%
수용성붕소 4
 
1.7%
20 4
 
1.7%
붕소 4
 
1.7%
5 3
 
1.2%
몰리브덴 3
 
1.2%
Other values (154) 192
79.7%
2023-12-12T17:03:26.074856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
210
 
15.5%
% 125
 
9.2%
0 100
 
7.4%
. 71
 
5.2%
, 57
 
4.2%
1 45
 
3.3%
2 36
 
2.6%
5 34
 
2.5%
8 27
 
2.0%
산 26
 
1.9%
Other values (151) 628
46.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 443
32.6%
Decimal Number 337
24.8%
Other Punctuation 254
18.7%
Space Separator 210
15.5%
Uppercase Letter 53
 
3.9%
Lowercase Letter 17
 
1.3%
Open Punctuation 15
 
1.1%
Close Punctuation 15
 
1.1%
Math Symbol 10
 
0.7%
Dash Punctuation 5
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 26
 
5.9%
물 22
 
5.0%
소 19
 
4.3%
수 17
 
3.8%
리 15
 
3.4%
륨 13
 
2.9%
성 11
 
2.5%
용 11
 
2.5%
칼 10
 
2.3%
트 10
 
2.3%
Other values (107) 289
65.2%
Uppercase Letter
ValueCountFrequency (%)
D 8
15.1%
E 8
15.1%
T 8
15.1%
A 8
15.1%
F 5
9.4%
O 3
 
5.7%
P 2
 
3.8%
H 2
 
3.8%
K 2
 
3.8%
Z 2
 
3.8%
Other values (5) 5
9.4%
Decimal Number
ValueCountFrequency (%)
0 100
29.7%
1 45
13.4%
2 36
 
10.7%
5 34
 
10.1%
8 27
 
8.0%
4 25
 
7.4%
3 23
 
6.8%
9 21
 
6.2%
6 18
 
5.3%
7 8
 
2.4%
Lowercase Letter
ValueCountFrequency (%)
a 4
23.5%
e 3
17.6%
c 2
11.8%
n 2
11.8%
r 1
 
5.9%
k 1
 
5.9%
g 1
 
5.9%
s 1
 
5.9%
h 1
 
5.9%
o 1
 
5.9%
Other Punctuation
ValueCountFrequency (%)
% 125
49.2%
. 71
28.0%
, 57
22.4%
/ 1
 
0.4%
Space Separator
ValueCountFrequency (%)
210
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Math Symbol
ValueCountFrequency (%)
+ 10
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 846
62.3%
Hangul 443
32.6%
Latin 70
 
5.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 26
 
5.9%
물 22
 
5.0%
소 19
 
4.3%
수 17
 
3.8%
리 15
 
3.4%
륨 13
 
2.9%
성 11
 
2.5%
용 11
 
2.5%
칼 10
 
2.3%
트 10
 
2.3%
Other values (107) 289
65.2%
Latin
ValueCountFrequency (%)
D 8
11.4%
E 8
11.4%
T 8
11.4%
A 8
11.4%
F 5
 
7.1%
a 4
 
5.7%
O 3
 
4.3%
e 3
 
4.3%
c 2
 
2.9%
P 2
 
2.9%
Other values (15) 19
27.1%
Common
ValueCountFrequency (%)
210
24.8%
% 125
14.8%
0 100
11.8%
. 71
 
8.4%
, 57
 
6.7%
1 45
 
5.3%
2 36
 
4.3%
5 34
 
4.0%
8 27
 
3.2%
4 25
 
3.0%
Other values (9) 116
13.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 916
67.4%
Hangul 443
32.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
210
22.9%
% 125
13.6%
0 100
10.9%
. 71
 
7.8%
, 57
 
6.2%
1 45
 
4.9%
2 36
 
3.9%
5 34
 
3.7%
8 27
 
2.9%
4 25
 
2.7%
Other values (34) 186
20.3%
Hangul
ValueCountFrequency (%)
산 26
 
5.9%
물 22
 
5.0%
소 19
 
4.3%
수 17
 
3.8%
리 15
 
3.4%
륨 13
 
2.9%
성 11
 
2.5%
용 11
 
2.5%
칼 10
 
2.3%
트 10
 
2.3%
Other values (107) 289
65.2%

위도
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)12.9%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
28 
37.38093396
 
1
37.36904884
 
1
37.38182945
 
1

Length

Max length11
Median length4
Mean length4.6774194
Min length4

Unique

Unique3 ?
Unique (%)9.7%

Sample

1st row37.38093396
2nd row37.36904884
3rd row37.38182945
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 28
90.3%
37.38093396 1
 
3.2%
37.36904884 1
 
3.2%
37.38182945 1
 
3.2%

Length

2023-12-12T17:03:26.314738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:03:26.491756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 28
90.3%
37.38093396 1
 
3.2%
37.36904884 1
 
3.2%
37.38182945 1
 
3.2%

경도
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)12.9%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
28 
127.4079698
 
1
127.3678926
 
1
127.4086516
 
1

Length

Max length11
Median length4
Mean length4.6774194
Min length4

Unique

Unique3 ?
Unique (%)9.7%

Sample

1st row127.4079698
2nd row127.3678926
3rd row127.4086516
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 28
90.3%
127.4079698 1
 
3.2%
127.3678926 1
 
3.2%
127.4086516 1
 
3.2%

Length

2023-12-12T17:03:26.672656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:03:26.857622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 28
90.3%
127.4079698 1
 
3.2%
127.3678926 1
 
3.2%
127.4086516 1
 
3.2%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size380.0 B
Minimum2023-08-14 00:00:00
Maximum2023-08-14 00:00:00
2023-12-12T17:03:27.098468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:03:27.244638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T17:03:21.972919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T17:03:27.395185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
법인(상호)명제조장소재지도로명주소전화번호비료의 종류 및 명칭생산능력제조원료 및 투입비율위도경도
법인(상호)명1.0001.0001.0001.0001.0001.0001.0001.000
제조장소재지도로명주소1.0001.0000.9990.9721.0001.0001.0001.000
전화번호1.0000.9991.0000.9840.9061.0001.0001.000
비료의 종류 및 명칭1.0000.9720.9841.0000.4541.000NaNNaN
생산능력1.0001.0000.9060.4541.0001.0001.0001.000
제조원료 및 투입비율1.0001.0001.0001.0001.0001.0001.0001.000
위도1.0001.0001.000NaN1.0001.0001.0001.000
경도1.0001.0001.000NaN1.0001.0001.0001.000
2023-12-12T17:03:27.602002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
경도비료의 종류 및 명칭위도
경도1.0001.0001.000
비료의 종류 및 명칭1.0001.0001.000
위도1.0001.0001.000
2023-12-12T17:03:27.730720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
생산능력비료의 종류 및 명칭위도경도
생산능력1.0000.2881.0001.000
비료의 종류 및 명칭0.2881.0001.0001.000
위도1.0001.0001.0001.000
경도1.0001.0001.0001.000

Missing values

2023-12-12T17:03:22.113903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:03:22.268688image/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

시군명법인(상호)명제조장소재지도로명주소전화번호비료의 종류 및 명칭생산능력제조원료 및 투입비율위도경도데이터기준일
0광주시토비경기도 광주시 곤지암읍 광여로 748-100031-762-7965가축분퇴비80.0계분(45%)+돈분(15%)+톱밥(30%)+버섯배지(10%)37.380934127.407972023-08-14
1광주시삼광농장경기도 광주시 곤지암읍 오향길15번길 79-47031-763-8498가축분퇴비100.0마분(50%)+돈분(10%)+계분(10%)+우분(2%)+버섯배지(3%)+톱밥(25%)37.369049127.3678932023-08-14
2광주시(주)기영비료경기도 광주시 곤지암읍 광여로862번길 85031-797-0809가축분퇴비30.0계분(70%)+톱밥(20%)+버섯배지(10%)37.381829127.4086522023-08-14
3광주시(주)키그린경기도 광주시 목동 49번지 2호031-797-0808복합비료(4종복합)0.0황산암모늄 21.62% 인산암모늄 5.22% 염화칼륨 8.84% FDTA-Fe 1.16% EDTA-Zn 0.58% 물 및 안정제 62.58%<NA><NA>2023-08-14
4광주시(주)키그린경기도 광주시 목동 49번지 2호031-797-0808복합비료(4종복합)0.0물 43.17% KH2PO3 35.24% K2FPO3 20.55% H3BO3 0.14% EDTAFENa 0.9%<NA><NA>2023-08-14
5광주시티엠리서치주식회사경기도 광주시 도척면 궁평리 783-7031-798-0112복합비료(4종복합)0.0요소 20% , 인산이수소암모늄 40%, 질산칼륨 20% , 석회 20%<NA><NA>2023-08-14
6광주시티엠리서치주식회사경기도 광주시 도척면 궁평리 783-7031-798-0112복합비료(4종복합)0.0삼인산칼륨 18.1%, 염화칼륨 4.7%, EDTA-2Ca 43.6%, 황산마그네슘 12.31% , EDTA-2Fe 11.55%, 붕산 5.32%, EDTA-Zn 4.42%<NA><NA>2023-08-14
7광주시(주)대성아그로경기도 광주시 오포읍 매산리 137번지 2호031-762-8489복합비료(1종복합)0.0질산칼륨 100%<NA><NA>2023-08-14
8광주시(주)대성아그로경기도 광주시 오포읍 매산리 137번지 2호031-762-8489복합비료(1종복합)0.0제일인산암모늄 100%<NA><NA>2023-08-14
9광주시광주시청경기도 광주시 송정동 570번지 광주시청031-768-3250가축분퇴비5.46음식물폐기류 88% , 톱밥 12%<NA><NA>2023-08-14
시군명법인(상호)명제조장소재지도로명주소전화번호비료의 종류 및 명칭생산능력제조원료 및 투입비율위도경도데이터기준일
21광주시우리산업경기도 광주시 초월읍 무갑리 625번지 15호031-767-7677복합비료(4종복합)0.5질소 0.05% 수용성칼리 0.05% 수용성고토 0.04% 수용성붕소 0.02% 식물천연추출물 10% 수산화나트륨 0.2% 물 89.64%<NA><NA>2023-08-14
22광주시엘림팜경기도 광주시 오포읍 매산리 137-2031-761-8933미량요소복합비료0.01kg(입상비료)/100L(정제수)<NA><NA>2023-08-14
23광주시광주시농업기술센터 친환경미생물배양실경기도 광주시 목현동 42번지 1호031-760-2251미량요소복합비료0.1광합성균 배양 전문 배지 100%<NA><NA>2023-08-14
24광주시도림화학주식회사경기도 광주시 오포읍 봉골길134번길 71, 1,2호동031-760-2248미량요소복합비료0.0해조추출물 97% , 물 2.868%, 수용성붕소 0.13%, 수용성몰리브덴 0.02%<NA><NA>2023-08-14
25광주시도림화학주식회사경기도 광주시 오포읍 봉골길134번길 71, 1,2호동031-760-2248미량요소복합비료0.0해조추출물 33.289%, 물고기추출물 66.579%, 수용성붕소 0.13%, 수용성몰리브덴 0.002%<NA><NA>2023-08-14
26광주시(주)한국농자재경기도 광주시 오포읍 매산리 137번지 2호031-764-8567복합비료(4종복합)0.0요소 5%, 질산가리 28%, 제일인산암모늄 60%, 황산마그네슘 6.5%, 킬레이트철 0.25%, 킬레이트아연 0.03%, 킬레이트구리 0.03%, 킬레이트망간 0.11%, 보락스 0.07%, 몰리브덴산소듐 0.01%<NA><NA>2023-08-14
27광주시농업회사법인 (주)바이오아그로경기도 광주시 초월읍 지월리 158번지 1호<NA>아미노산 발효부산액0.0아미노산 35%, 물 65%<NA><NA>2023-08-14
28광주시코퍼트주식회사경기도 광주시 초월읍 무갑리 774번지 9호031-798-1231미량요소복합비료3.0붕소 0.05%, 몰리브덴 0.005%, Saccharose 용액 99.45%,<NA><NA>2023-08-14
29광주시비포랜드경기도 광주시 초월읍 무갑리 625번지 3호031-795-2692복합비료(4종복합)0.0해당없음<NA><NA>2023-08-14
30광주시(주)코어바이오경기도 광주시 오포읍 문형리 632번지031-761-0383미생물비료-토양미생물제제3.0당밀 10%, 식물추출물 1%, 물 89%<NA><NA>2023-08-14

Duplicate rows

Most frequently occurring

시군명법인(상호)명제조장소재지도로명주소전화번호비료의 종류 및 명칭생산능력제조원료 및 투입비율위도경도데이터기준일# duplicates
0광주시주식회사 코리아팜텍경기도 광주시 오포읍 신현리 32번지 1호070-8821-3993미량요소복합비료5.0EDTA철 0.85% 몰리브덴산나트륨 0.002% 물 99.148%<NA><NA>2023-08-142