Overview

Dataset statistics

Number of variables11
Number of observations36
Missing cells39
Missing cells (%)9.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.3 KiB
Average record size in memory94.7 B

Variable types

Categorical3
Text5
Numeric3

Dataset

Description경기도 김포시 비료생산업등록현황(시군명, 법인(상호)명, 제조장소재지도로명주소, 제조장소재지지번주소, 전화번호, 비료의종류및명칭, 생산능력(톤/일), 제조원료및투입비율, 위도, 경도, 데이터기준일자)의 데이터 현황을 제공하고 있습니다.
Author경기도 김포시
URLhttps://www.data.go.kr/data/15037680/fileData.do

Alerts

시군명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
생산능력(톤_일) is highly overall correlated with 경도High correlation
경도 is highly overall correlated with 생산능력(톤_일) and 1 other fieldsHigh correlation
비료의종류및명칭 is highly overall correlated with 경도High correlation
전화번호 has 9 (25.0%) missing valuesMissing
생산능력(톤_일) has 15 (41.7%) missing valuesMissing
제조원료및투입비율 has 15 (41.7%) missing valuesMissing

Reproduction

Analysis started2024-04-06 08:01:50.524565
Analysis finished2024-04-06 08:01:54.840857
Duration4.32 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
김포시
36 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
김포시 36
100.0%

Length

2024-04-06T17:01:54.971369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:01:55.175906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
김포시 36
100.0%

법인(상호)명
Text

Distinct25
Distinct (%)69.4%
Missing0
Missing (%)0.0%
Memory size420.0 B
2024-04-06T17:01:55.474050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length15
Mean length5.9722222
Min length2

Characters and Unicode

Total characters215
Distinct characters83
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)52.8%

Sample

1st row자연애
2nd row청솔산업
3rd row청솔산업
4th row김포퇴비
5th row청용비료
ValueCountFrequency (%)
케이유 5
 
12.5%
미래산업 3
 
7.5%
리더스케미컬 3
 
7.5%
주식회사 2
 
5.0%
주)한우리 2
 
5.0%
김포퇴비 2
 
5.0%
청솔산업 2
 
5.0%
김포축산업협동조합 2
 
5.0%
㈜마이크로바이오텍 1
 
2.5%
주)다빔솔루션 1
 
2.5%
Other values (17) 17
42.5%
2024-04-06T17:01:56.050675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 13
 
6.0%
업 13
 
6.0%
산 9
 
4.2%
케 8
 
3.7%
미 6
 
2.8%
주 6
 
2.8%
농 6
 
2.8%
유 5
 
2.3%
리 5
 
2.3%
바 5
 
2.3%
Other values (73) 139
64.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 202
94.0%
Space Separator 4
 
1.9%
Open Punctuation 4
 
1.9%
Close Punctuation 4
 
1.9%
Other Symbol 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 13
 
6.4%
업 13
 
6.4%
산 9
 
4.5%
케 8
 
4.0%
미 6
 
3.0%
주 6
 
3.0%
농 6
 
3.0%
유 5
 
2.5%
리 5
 
2.5%
바 5
 
2.5%
Other values (69) 126
62.4%
Space Separator
ValueCountFrequency (%)
4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 203
94.4%
Common 12
 
5.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 13
 
6.4%
업 13
 
6.4%
산 9
 
4.4%
케 8
 
3.9%
미 6
 
3.0%
주 6
 
3.0%
농 6
 
3.0%
유 5
 
2.5%
리 5
 
2.5%
바 5
 
2.5%
Other values (70) 127
62.6%
Common
ValueCountFrequency (%)
4
33.3%
( 4
33.3%
) 4
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 202
94.0%
ASCII 12
 
5.6%
None 1
 
0.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 13
 
6.4%
업 13
 
6.4%
산 9
 
4.5%
케 8
 
4.0%
미 6
 
3.0%
주 6
 
3.0%
농 6
 
3.0%
유 5
 
2.5%
리 5
 
2.5%
바 5
 
2.5%
Other values (69) 126
62.4%
ASCII
ValueCountFrequency (%)
4
33.3%
( 4
33.3%
) 4
33.3%
None
ValueCountFrequency (%)
㈜ 1
100.0%

제조장소재지도로명주소
Text

Distinct25
Distinct (%)69.4%
Missing0
Missing (%)0.0%
Memory size420.0 B
2024-04-06T17:01:56.433298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length25
Mean length23.277778
Min length19

Characters and Unicode

Total characters838
Distinct characters57
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

Unique18 ?
Unique (%)50.0%

Sample

1st row경기도 김포시 하성면 가금로228번길 75
2nd row경기도 김포시 대곶면 대곶로382번길 115
3rd row경기도 김포시 대곶면 대곶로382번길 115
4th row경기도 김포시 월곶면 김포대로2659번길 39
5th row경기도 김포시 대곶면 약암로 522-36
ValueCountFrequency (%)
경기도 36
19.6%
김포시 36
19.6%
양촌읍 12
 
6.5%
월곶면 11
 
6.0%
황금로273번길 8
 
4.3%
31 8
 
4.3%
대곶면 8
 
4.3%
2호 4
 
2.2%
약암로 4
 
2.2%
고양로 4
 
2.2%
Other values (43) 53
28.8%
2024-04-06T17:01:57.072064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
148
17.7%
김 39
 
4.7%
포 39
 
4.7%
1 38
 
4.5%
3 37
 
4.4%
경 36
 
4.3%
기 36
 
4.3%
도 36
 
4.3%
시 36
 
4.3%
2 33
 
3.9%
Other values (47) 360
43.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 485
57.9%
Decimal Number 189
 
22.6%
Space Separator 148
 
17.7%
Dash Punctuation 13
 
1.6%
Other Punctuation 3
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 39
 
8.0%
포 39
 
8.0%
경 36
 
7.4%
기 36
 
7.4%
도 36
 
7.4%
시 36
 
7.4%
로 33
 
6.8%
곶 23
 
4.7%
번 22
 
4.5%
면 21
 
4.3%
Other values (34) 164
33.8%
Decimal Number
ValueCountFrequency (%)
1 38
20.1%
3 37
19.6%
2 33
17.5%
7 20
10.6%
8 17
9.0%
5 16
8.5%
6 9
 
4.8%
9 8
 
4.2%
0 7
 
3.7%
4 4
 
2.1%
Space Separator
ValueCountFrequency (%)
148
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 485
57.9%
Common 353
42.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 39
 
8.0%
포 39
 
8.0%
경 36
 
7.4%
기 36
 
7.4%
도 36
 
7.4%
시 36
 
7.4%
로 33
 
6.8%
곶 23
 
4.7%
번 22
 
4.5%
면 21
 
4.3%
Other values (34) 164
33.8%
Common
ValueCountFrequency (%)
148
41.9%
1 38
 
10.8%
3 37
 
10.5%
2 33
 
9.3%
7 20
 
5.7%
8 17
 
4.8%
5 16
 
4.5%
- 13
 
3.7%
6 9
 
2.5%
9 8
 
2.3%
Other values (3) 14
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 485
57.9%
ASCII 353
42.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
148
41.9%
1 38
 
10.8%
3 37
 
10.5%
2 33
 
9.3%
7 20
 
5.7%
8 17
 
4.8%
5 16
 
4.5%
- 13
 
3.7%
6 9
 
2.5%
9 8
 
2.3%
Other values (3) 14
 
4.0%
Hangul
ValueCountFrequency (%)
김 39
 
8.0%
포 39
 
8.0%
경 36
 
7.4%
기 36
 
7.4%
도 36
 
7.4%
시 36
 
7.4%
로 33
 
6.8%
곶 23
 
4.7%
번 22
 
4.5%
면 21
 
4.3%
Other values (34) 164
33.8%

제조장소재지지번주소
Text

Distinct27
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Memory size420.0 B
2024-04-06T17:01:57.481918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length27
Mean length21.694444
Min length17

Characters and Unicode

Total characters781
Distinct characters57
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

Unique22 ?
Unique (%)61.1%

Sample

1st row경기도 김포시 하성면 가금리 404-2
2nd row경기도 김포시 대곶면 석정리 239-10
3rd row경기도 김포시 대곶면 석정리 239-10
4th row경기도 김포시 월곶면 군하리 323
5th row경기도 김포시 대곶면 대벽리 798
ValueCountFrequency (%)
경기도 36
19.6%
김포시 36
19.6%
양촌읍 12
 
6.5%
월곶면 11
 
6.0%
학운리 9
 
4.9%
대곶면 8
 
4.3%
고양리 6
 
3.3%
445-92 5
 
2.7%
대벽리 4
 
2.2%
2호 4
 
2.2%
Other values (42) 53
28.8%
2024-04-06T17:01:58.073797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
148
19.0%
경 36
 
4.6%
포 36
 
4.6%
시 36
 
4.6%
기 36
 
4.6%
김 36
 
4.6%
도 36
 
4.6%
리 34
 
4.4%
2 31
 
4.0%
4 24
 
3.1%
Other values (47) 328
42.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 462
59.2%
Decimal Number 150
 
19.2%
Space Separator 148
 
19.0%
Dash Punctuation 21
 
2.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 36
 
7.8%
포 36
 
7.8%
시 36
 
7.8%
기 36
 
7.8%
김 36
 
7.8%
도 36
 
7.8%
리 34
 
7.4%
면 21
 
4.5%
양 19
 
4.1%
곶 19
 
4.1%
Other values (35) 153
33.1%
Decimal Number
ValueCountFrequency (%)
2 31
20.7%
4 24
16.0%
9 21
14.0%
3 18
12.0%
5 17
11.3%
1 17
11.3%
0 7
 
4.7%
8 6
 
4.0%
7 5
 
3.3%
6 4
 
2.7%
Space Separator
ValueCountFrequency (%)
148
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 462
59.2%
Common 319
40.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 36
 
7.8%
포 36
 
7.8%
시 36
 
7.8%
기 36
 
7.8%
김 36
 
7.8%
도 36
 
7.8%
리 34
 
7.4%
면 21
 
4.5%
양 19
 
4.1%
곶 19
 
4.1%
Other values (35) 153
33.1%
Common
ValueCountFrequency (%)
148
46.4%
2 31
 
9.7%
4 24
 
7.5%
9 21
 
6.6%
- 21
 
6.6%
3 18
 
5.6%
5 17
 
5.3%
1 17
 
5.3%
0 7
 
2.2%
8 6
 
1.9%
Other values (2) 9
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 462
59.2%
ASCII 319
40.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
148
46.4%
2 31
 
9.7%
4 24
 
7.5%
9 21
 
6.6%
- 21
 
6.6%
3 18
 
5.6%
5 17
 
5.3%
1 17
 
5.3%
0 7
 
2.2%
8 6
 
1.9%
Other values (2) 9
 
2.8%
Hangul
ValueCountFrequency (%)
경 36
 
7.8%
포 36
 
7.8%
시 36
 
7.8%
기 36
 
7.8%
김 36
 
7.8%
도 36
 
7.8%
리 34
 
7.4%
면 21
 
4.5%
양 19
 
4.1%
곶 19
 
4.1%
Other values (35) 153
33.1%

전화번호
Text

MISSING 

Distinct18
Distinct (%)66.7%
Missing9
Missing (%)25.0%
Memory size420.0 B
2024-04-06T17:01:58.373399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.925926
Min length9

Characters and Unicode

Total characters322
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

Unique13 ?
Unique (%)48.1%

Sample

1st row031-998-0329
2nd row031-982-1842
3rd row031-982-1842
4th row031-987-1882
5th row031-989-4420
ValueCountFrequency (%)
031-302-3831 4
14.8%
02-3488-5826 3
 
11.1%
031-944-1170 3
 
11.1%
031-989-9380 2
 
7.4%
031-982-1842 2
 
7.4%
031-671-5091 1
 
3.7%
031-998-0329 1
 
3.7%
031-996-1174 1
 
3.7%
031-987-2149 1
 
3.7%
031-997-4565 1
 
3.7%
Other values (8) 8
29.6%
2024-04-06T17:01:58.916526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 53
16.5%
0 43
13.4%
3 43
13.4%
1 43
13.4%
8 33
10.2%
9 33
10.2%
4 23
7.1%
2 20
 
6.2%
7 15
 
4.7%
6 9
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 269
83.5%
Dash Punctuation 53
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 43
16.0%
3 43
16.0%
1 43
16.0%
8 33
12.3%
9 33
12.3%
4 23
8.6%
2 20
7.4%
7 15
 
5.6%
6 9
 
3.3%
5 7
 
2.6%
Dash Punctuation
ValueCountFrequency (%)
- 53
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 322
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 53
16.5%
0 43
13.4%
3 43
13.4%
1 43
13.4%
8 33
10.2%
9 33
10.2%
4 23
7.1%
2 20
 
6.2%
7 15
 
4.7%
6 9
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 322
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 53
16.5%
0 43
13.4%
3 43
13.4%
1 43
13.4%
8 33
10.2%
9 33
10.2%
4 23
7.1%
2 20
 
6.2%
7 15
 
4.7%
6 9
 
2.8%

비료의종류및명칭
Categorical

HIGH CORRELATION 

Distinct17
Distinct (%)47.2%
Missing0
Missing (%)0.0%
Memory size420.0 B
가축분퇴비
7 
퇴비
4 
미량요소복합
4 
제4종복합(엽면시비용)
3 
토양미생물제제
3 
Other values (12)
15 

Length

Max length14
Median length10
Mean length6.4166667
Min length2

Unique

Unique9 ?
Unique (%)25.0%

Sample

1st row부산동물질비료(액)
2nd row퇴비
3rd row부산동물질비료(액)
4th row가축분퇴비
5th row가축분퇴비

Common Values

ValueCountFrequency (%)
가축분퇴비 7
19.4%
퇴비 4
11.1%
미량요소복합 4
11.1%
제4종복합(엽면시비용) 3
8.3%
토양미생물제제 3
8.3%
제4종복합(화초용) 2
 
5.6%
부산동물질비료(액) 2
 
5.6%
지렁이분 2
 
5.6%
액상석회 1
 
2.8%
부산석회 1
 
2.8%
Other values (7) 7
19.4%

Length

2024-04-06T17:01:59.169066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
가축분퇴비 7
19.4%
미량요소복합 4
11.1%
퇴비 4
11.1%
제4종복합(엽면시비용 3
8.3%
토양미생물제제 3
8.3%
제4종복합(화초용 2
 
5.6%
부산동물질비료(액 2
 
5.6%
지렁이분 2
 
5.6%
제2종복합 1
 
2.8%
건계분 1
 
2.8%
Other values (7) 7
19.4%

생산능력(톤_일)
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct6
Distinct (%)28.6%
Missing15
Missing (%)41.7%
Infinite0
Infinite (%)0.0%
Mean5.2619048
Minimum1
Maximum40
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-04-06T17:01:59.365910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile32
Maximum40
Range39
Interquartile range (IQR)0

Descriptive statistics

Standard deviation10.568372
Coefficient of variation (CV)2.0084688
Kurtosis7.1731561
Mean5.2619048
Median Absolute Deviation (MAD)0
Skewness2.8029666
Sum110.5
Variance111.69048
MonotonicityNot monotonic
2024-04-06T17:01:59.555515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1.0 16
44.4%
5.5 1
 
2.8%
40.0 1
 
2.8%
32.0 1
 
2.8%
9.0 1
 
2.8%
8.0 1
 
2.8%
(Missing) 15
41.7%
ValueCountFrequency (%)
1.0 16
44.4%
5.5 1
 
2.8%
8.0 1
 
2.8%
9.0 1
 
2.8%
32.0 1
 
2.8%
40.0 1
 
2.8%
ValueCountFrequency (%)
40.0 1
 
2.8%
32.0 1
 
2.8%
9.0 1
 
2.8%
8.0 1
 
2.8%
5.5 1
 
2.8%
1.0 16
44.4%

제조원료및투입비율
Text

MISSING 

Distinct21
Distinct (%)100.0%
Missing15
Missing (%)41.7%
Memory size420.0 B
2024-04-06T17:01:59.988549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length187
Median length53
Mean length54.47619
Min length8

Characters and Unicode

Total characters1144
Distinct characters120
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)100.0%

Sample

1st row도축잔재물(50%)+톱밥(30%)+돈분(5%)+우분(5%)+계분(5%)+견분(1%)+석회고토(3%)+EM미생물(1%)
2nd row음식물찌꺼기(95%)+식물성잔재물(5%)
3rd row음식물찌꺼기(59.99%) +톱밥(25.00%)+돈분(15.00%)+발효제(0.01%)
4th row계분(70%)+톱밥(28%)+미생물(2%)
5th row계분(50%)+돈분(10%)+우분(5%)+톱밥(35%)
ValueCountFrequency (%)
도축잔재물(50%)+톱밥(30%)+돈분(5%)+우분(5%)+계분(5%)+견분(1%)+석회고토(3%)+em미생물(1 1
 
3.6%
음식물찌꺼기(59.99 1
 
3.6%
몰리브덴(20 1
 
3.6%
붕산 1
 
3.6%
황상산구리 1
 
3.6%
목초액(30%)+식첨용(인산)(25%)+공업용(질산가리)(25)+시약용 1
 
3.6%
질석 1
 
3.6%
0.0005%)+물(91.6 1
 
3.6%
아염소산나트륨(8.3%)+붕산(보락스)(0.05%)+몰리브덴산나트륨 1
 
3.6%
붕산(붕산56%)(0.13%)+몰리브덴(몰리브덴39%)(0.005%)+물(99.865 1
 
3.6%
Other values (18) 18
64.3%
2024-04-06T17:02:00.910108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
) 120
 
10.5%
( 119
 
10.4%
% 111
 
9.7%
0 76
 
6.6%
+ 68
 
5.9%
5 50
 
4.4%
1 37
 
3.2%
산 32
 
2.8%
. 27
 
2.4%
2 24
 
2.1%
Other values (110) 480
42.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 405
35.4%
Decimal Number 272
23.8%
Other Punctuation 141
 
12.3%
Close Punctuation 120
 
10.5%
Open Punctuation 119
 
10.4%
Math Symbol 68
 
5.9%
Dash Punctuation 10
 
0.9%
Space Separator 7
 
0.6%
Uppercase Letter 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 32
 
7.9%
리 17
 
4.2%
륨 16
 
4.0%
칼 16
 
4.0%
분 16
 
4.0%
물 16
 
4.0%
소 14
 
3.5%
붕 12
 
3.0%
수 11
 
2.7%
용 10
 
2.5%
Other values (89) 245
60.5%
Decimal Number
ValueCountFrequency (%)
0 76
27.9%
5 50
18.4%
1 37
13.6%
2 24
 
8.8%
6 22
 
8.1%
3 22
 
8.1%
9 17
 
6.2%
4 10
 
3.7%
8 7
 
2.6%
7 7
 
2.6%
Other Punctuation
ValueCountFrequency (%)
% 111
78.7%
. 27
 
19.1%
, 2
 
1.4%
/ 1
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
E 1
50.0%
M 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 120
100.0%
Open Punctuation
ValueCountFrequency (%)
( 119
100.0%
Math Symbol
ValueCountFrequency (%)
+ 68
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 737
64.4%
Hangul 405
35.4%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 32
 
7.9%
리 17
 
4.2%
륨 16
 
4.0%
칼 16
 
4.0%
분 16
 
4.0%
물 16
 
4.0%
소 14
 
3.5%
붕 12
 
3.0%
수 11
 
2.7%
용 10
 
2.5%
Other values (89) 245
60.5%
Common
ValueCountFrequency (%)
) 120
16.3%
( 119
16.1%
% 111
15.1%
0 76
10.3%
+ 68
9.2%
5 50
6.8%
1 37
 
5.0%
. 27
 
3.7%
2 24
 
3.3%
6 22
 
3.0%
Other values (9) 83
11.3%
Latin
ValueCountFrequency (%)
E 1
50.0%
M 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 739
64.6%
Hangul 405
35.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
) 120
16.2%
( 119
16.1%
% 111
15.0%
0 76
10.3%
+ 68
9.2%
5 50
6.8%
1 37
 
5.0%
. 27
 
3.7%
2 24
 
3.2%
6 22
 
3.0%
Other values (11) 85
11.5%
Hangul
ValueCountFrequency (%)
산 32
 
7.9%
리 17
 
4.2%
륨 16
 
4.0%
칼 16
 
4.0%
분 16
 
4.0%
물 16
 
4.0%
소 14
 
3.5%
붕 12
 
3.0%
수 11
 
2.7%
용 10
 
2.5%
Other values (89) 245
60.5%

위도
Real number (ℝ)

Distinct27
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.659321
Minimum37.604844
Maximum37.74356
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-04-06T17:02:01.623327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.604844
5-th percentile37.605708
Q137.609823
median37.670719
Q337.689878
95-th percentile37.715572
Maximum37.74356
Range0.13871656
Interquartile range (IQR)0.08005504

Descriptive statistics

Standard deviation0.042678124
Coefficient of variation (CV)0.0011332686
Kurtosis-1.4177889
Mean37.659321
Median Absolute Deviation (MAD)0.0374191
Skewness-0.010461305
Sum1355.7355
Variance0.0018214223
MonotonicityNot monotonic
2024-04-06T17:02:01.873517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
37.60982329 7
19.4%
37.68854105 2
 
5.6%
37.68987833 2
 
5.6%
37.67778268 2
 
5.6%
37.74356038 1
 
2.8%
37.60991701 1
 
2.8%
37.61399404 1
 
2.8%
37.71300803 1
 
2.8%
37.67783102 1
 
2.8%
37.69655401 1
 
2.8%
Other values (17) 17
47.2%
ValueCountFrequency (%)
37.60484382 1
 
2.8%
37.60485452 1
 
2.8%
37.6059927 1
 
2.8%
37.60982329 7
19.4%
37.60991701 1
 
2.8%
37.61399404 1
 
2.8%
37.61628731 1
 
2.8%
37.63052834 1
 
2.8%
37.64190309 1
 
2.8%
37.66672059 1
 
2.8%
ValueCountFrequency (%)
37.74356038 1
2.8%
37.72326265 1
2.8%
37.71300803 1
2.8%
37.70814124 1
2.8%
37.70813561 1
2.8%
37.70286852 1
2.8%
37.69826928 1
2.8%
37.69655401 1
2.8%
37.68987833 2
5.6%
37.68854105 2
5.6%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct27
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.5851
Minimum126.53597
Maximum126.70527
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-04-06T17:02:02.123747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.53597
5-th percentile126.53665
Q1126.55565
median126.57137
Q3126.60652
95-th percentile126.64903
Maximum126.70527
Range0.1692903
Interquartile range (IQR)0.0508646

Descriptive statistics

Standard deviation0.03901712
Coefficient of variation (CV)0.00030822839
Kurtosis1.1551774
Mean126.5851
Median Absolute Deviation (MAD)0.0333212
Skewness0.9808186
Sum4557.0635
Variance0.0015223357
MonotonicityNot monotonic
2024-04-06T17:02:02.366731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
126.6065155 7
19.4%
126.5472991 2
 
5.6%
126.5366528 2
 
5.6%
126.5589954 2
 
5.6%
126.613311 1
 
2.8%
126.6064534 1
 
2.8%
126.6060134 1
 
2.8%
126.5730327 1
 
2.8%
126.6007829 1
 
2.8%
126.5573011 1
 
2.8%
Other values (17) 17
47.2%
ValueCountFrequency (%)
126.5359748 1
2.8%
126.5366528 2
5.6%
126.539371 1
2.8%
126.5472991 2
5.6%
126.5499024 1
2.8%
126.5514912 1
2.8%
126.5556119 1
2.8%
126.5556639 1
2.8%
126.5573011 1
2.8%
126.5589954 2
5.6%
ValueCountFrequency (%)
126.7052651 1
 
2.8%
126.6656129 1
 
2.8%
126.6435024 1
 
2.8%
126.6326446 1
 
2.8%
126.6151741 1
 
2.8%
126.613311 1
 
2.8%
126.6065155 7
19.4%
126.6064534 1
 
2.8%
126.6060134 1
 
2.8%
126.6007829 1
 
2.8%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
2024-03-25
36 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-03-25
2nd row2024-03-25
3rd row2024-03-25
4th row2024-03-25
5th row2024-03-25

Common Values

ValueCountFrequency (%)
2024-03-25 36
100.0%

Length

2024-04-06T17:02:02.623793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:02:02.815723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-03-25 36
100.0%

Interactions

2024-04-06T17:01:53.433314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:01:52.260514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:01:52.860749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:01:53.612620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:01:52.486839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:01:53.080978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:01:53.783551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:01:52.681089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:01:53.262577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-06T17:02:02.948945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
법인(상호)명제조장소재지도로명주소제조장소재지지번주소전화번호비료의종류및명칭생산능력(톤_일)제조원료및투입비율위도경도
법인(상호)명1.0001.0001.0001.0000.0000.7931.0001.0001.000
제조장소재지도로명주소1.0001.0001.0001.0000.0000.9941.0001.0001.000
제조장소재지지번주소1.0001.0001.0001.0000.0000.9941.0001.0001.000
전화번호1.0001.0001.0001.0000.0000.7981.0001.0001.000
비료의종류및명칭0.0000.0000.0000.0001.0000.0001.0000.3770.893
생산능력(톤_일)0.7930.9940.9940.7980.0001.0001.0000.0000.000
제조원료및투입비율1.0001.0001.0001.0001.0001.0001.0001.0001.000
위도1.0001.0001.0001.0000.3770.0001.0001.0000.861
경도1.0001.0001.0001.0000.8930.0001.0000.8611.000
2024-04-06T17:02:03.196933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
생산능력(톤_일)위도경도비료의종류및명칭
생산능력(톤_일)1.000-0.105-0.5270.000
위도-0.1051.000-0.3920.045
경도-0.527-0.3921.0000.523
비료의종류및명칭0.0000.0450.5231.000

Missing values

2024-04-06T17:01:54.042820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T17:01:54.428288image/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.
2024-04-06T17:01:54.716698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

시군명법인(상호)명제조장소재지도로명주소제조장소재지지번주소전화번호비료의종류및명칭생산능력(톤_일)제조원료및투입비율위도경도데이터기준일자
0김포시자연애경기도 김포시 하성면 가금로228번길 75경기도 김포시 하성면 가금리 404-2031-998-0329부산동물질비료(액)1.0도축잔재물(50%)+톱밥(30%)+돈분(5%)+우분(5%)+계분(5%)+견분(1%)+석회고토(3%)+EM미생물(1%)37.74356126.6133112024-03-25
1김포시청솔산업경기도 김포시 대곶면 대곶로382번길 115경기도 김포시 대곶면 석정리 239-10031-982-1842퇴비1.0음식물찌꺼기(95%)+식물성잔재물(5%)37.677783126.5589952024-03-25
2김포시청솔산업경기도 김포시 대곶면 대곶로382번길 115경기도 김포시 대곶면 석정리 239-10031-982-1842부산동물질비료(액)5.5음식물찌꺼기(59.99%) +톱밥(25.00%)+돈분(15.00%)+발효제(0.01%)37.677783126.5589952024-03-25
3김포시김포퇴비경기도 김포시 월곶면 김포대로2659번길 39경기도 김포시 월곶면 군하리 323031-987-1882가축분퇴비1.0계분(70%)+톱밥(28%)+미생물(2%)37.708141126.5556642024-03-25
4김포시청용비료경기도 김포시 대곶면 약암로 522-36경기도 김포시 대곶면 대벽리 798031-989-4420가축분퇴비40.0계분(50%)+돈분(10%)+우분(5%)+톱밥(35%)37.605993126.5642762024-03-25
5김포시선풍산업경기도 김포시 대곶면 대곶북로305번길 167경기도 김포시 대곶면 석정리 111-26031-988-4054퇴비1.0음식물폐기물(50%)+톱밥(50%)37.67057126.5696992024-03-25
6김포시신기원예산업경기도 김포시 대곶면 약암로 598-180경기도 김포시 대곶면 대벽리 999031-987-2927퇴비1.0수피(50%)+톱밥(20%)+농산물잔사(20%)+유사물 기타(10%)37.616287126.5624812024-03-25
7김포시금화농장경기도 김포시 월곶면 고양로 183-105경기도 김포시 월곶면 고양리 629031-989-9973가축분퇴비<NA><NA>37.68829126.5393712024-03-25
8김포시장락농장경기도 김포시 대곶면 대곶로321번길 104경기도 김포시 대곶면 쇄암리 445-4031-988-6197가축분퇴비1.0계분(70%)+톱밥(28%)+효소(2%)37.670869126.5499022024-03-25
9김포시김포축산업협동조합경기도 김포시 대곶면 약암로 522-38경기도 김포시 대곶면 대벽리 819031-989-9380가축분퇴비32.0우분(25%)+돈분(10%)+계분(53%)+톱밥(12%)37.604844126.5646382024-03-25
시군명법인(상호)명제조장소재지도로명주소제조장소재지지번주소전화번호비료의종류및명칭생산능력(톤_일)제조원료및투입비율위도경도데이터기준일자
26김포시농업회사법인다존바이오경기도 김포시 김포대로 1037-27경기도 김포시 북변동 134번지<NA>아미노산발효부산액<NA><NA>37.630528126.7052652024-03-25
27김포시농업회사법인 새솔바이오 주식회사경기도 김포시 양촌읍 누산리 1095번지경기도 김포시 양촌읍 누산리 1095번지<NA>부엽토<NA><NA>37.669453126.6656132024-03-25
28김포시김포퇴비경기도 김포시 월곶면 김포대로2659번길 39경기도 김포시 월곶면 군하리 323번지<NA>퇴비<NA><NA>37.708136126.5556122024-03-25
29김포시김포축산업협동조합 자연순환농업센터경기도 김포시 대곶면 약암로 522-38경기도 김포시 대곶면 대벽리 819번지031-989-9380가축분퇴비<NA><NA>37.604855126.5649472024-03-25
30김포시김포시농업기술센터경기도 김포시 월곶면 오리정로 13경기도 김포시 월곶면 갈산리 536번지<NA>토양미생물제제<NA><NA>37.696554126.5573012024-03-25
31김포시그린양행경기도 김포시 통진읍 가현리 202번지경기도 김포시 통진읍 가현리 202번지031-996-1174제4종복합(화초용)<NA><NA>37.677831126.6007832024-03-25
32김포시(주)다섯사랑경기도 김포시 월곶면 월하로 148경기도 김포시 월곶면 갈산리 29번지<NA>부산석회<NA><NA>37.713008126.5730332024-03-25
33김포시(주)다빔솔루션경기도 김포시 양촌읍 학운리 1371번지경기도 김포시 양촌읍 학운리 1371번지1600-6474토양미생물제제<NA><NA>37.613994126.6060132024-03-25
34김포시(주)한우리경기도 김포시 월곶면 고양로117번길 185경기도 김포시 월곶면 고양리 978번지<NA>제4종복합(엽면시비용)<NA><NA>37.688541126.5472992024-03-25
35김포시(주)한우리경기도 김포시 월곶면 고양로117번길 185경기도 김포시 월곶면 고양리 978번지<NA>제4종복합(양액·관주용)<NA><NA>37.688541126.5472992024-03-25