Overview

Dataset statistics

Number of variables13
Number of observations1142
Missing cells2508
Missing cells (%)16.9%
Duplicate rows33
Duplicate rows (%)2.9%
Total size in memory119.5 KiB
Average record size in memory107.1 B

Variable types

Categorical3
Text7
Numeric3

Dataset

Description경기도_비료생산업 등록 현황
Author가평군
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=9BHXN16CV4BX1TWGK7V629074929&infSeq=1

Alerts

Dataset has 33 (2.9%) duplicate rowsDuplicates
시군명 is highly overall correlated with 정제WGS84위도 and 3 other fieldsHigh correlation
데이터기준일자 is highly overall correlated with 정제WGS84위도 and 3 other fieldsHigh correlation
생산능력(톤/일) is highly overall correlated with 정제WGS84위도 and 1 other fieldsHigh correlation
정제WGS84위도 is highly overall correlated with 생산능력(톤/일) and 3 other fieldsHigh correlation
정제WGS84경도 is highly overall correlated with 시군명 and 2 other fieldsHigh correlation
사업자등록번호 is highly overall correlated with 생산능력(톤/일) and 4 other fieldsHigh correlation
사업자등록번호 is highly imbalanced (77.0%)Imbalance
제조장소재지도로명주소 has 100 (8.8%) missing valuesMissing
전화번호 has 324 (28.4%) missing valuesMissing
생산능력(톤/일) has 244 (21.4%) missing valuesMissing
제조원자재비율정보 has 523 (45.8%) missing valuesMissing
정제WGS84위도 has 89 (7.8%) missing valuesMissing
정제WGS84경도 has 89 (7.8%) missing valuesMissing
비고 has 1139 (99.7%) missing valuesMissing
생산능력(톤/일) is highly skewed (γ1 = 29.66307592)Skewed
생산능력(톤/일) has 325 (28.5%) zerosZeros

Reproduction

Analysis started2024-03-23 01:55:32.860773
Analysis finished2024-03-23 01:55:39.872102
Duration7.01 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

HIGH CORRELATION 

Distinct26
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
의정부시
206 
화성시
195 
안성시
142 
여주시
94 
이천시
84 
Other values (21)
421 

Length

Max length4
Median length3
Mean length3.1935201
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row가평군
2nd row가평군
3rd row고양시
4th row고양시
5th row고양시

Common Values

ValueCountFrequency (%)
의정부시 206
18.0%
화성시 195
17.1%
안성시 142
12.4%
여주시 94
8.2%
이천시 84
7.4%
평택시 70
 
6.1%
포천시 65
 
5.7%
용인시 45
 
3.9%
광주시 31
 
2.7%
김포시 30
 
2.6%
Other values (16) 180
15.8%

Length

2024-03-23T01:55:40.167469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
의정부시 206
18.0%
화성시 195
17.1%
안성시 142
12.4%
여주시 94
8.2%
이천시 84
7.4%
평택시 70
 
6.1%
포천시 65
 
5.7%
용인시 45
 
3.9%
광주시 31
 
2.7%
김포시 30
 
2.6%
Other values (16) 180
15.8%

법인(상호)명
Text

Distinct453
Distinct (%)39.7%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
2024-03-23T01:55:40.948159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length18
Mean length10.011384
Min length2

Characters and Unicode

Total characters11433
Distinct characters345
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

Unique286 ?
Unique (%)25.0%

Sample

1st row영농조합법인 대청
2nd row영농조합법인 참좋은가평비료
3rd rowSG코스매틱
4th row고양바이오매스_자원순환과
5th row고양시농업기술센터
ValueCountFrequency (%)
의정부시 206
 
9.6%
음식물류 206
 
9.6%
폐기물 206
 
9.6%
자원화 206
 
9.6%
시설 206
 
9.6%
주식회사 76
 
3.6%
농업회사법인 38
 
1.8%
월드아텍(주 20
 
0.9%
바이오그린텍 19
 
0.9%
주 17
 
0.8%
Other values (467) 935
43.8%
2024-03-23T01:55:42.044611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
993
 
8.7%
주 559
 
4.9%
) 455
 
4.0%
( 444
 
3.9%
시 442
 
3.9%
물 424
 
3.7%
이 314
 
2.7%
식 307
 
2.7%
기 278
 
2.4%
자 249
 
2.2%
Other values (335) 6968
60.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9435
82.5%
Space Separator 993
 
8.7%
Close Punctuation 455
 
4.0%
Open Punctuation 444
 
3.9%
Uppercase Letter 40
 
0.3%
Other Symbol 28
 
0.2%
Lowercase Letter 21
 
0.2%
Decimal Number 7
 
0.1%
Other Punctuation 5
 
< 0.1%
Dash Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 559
 
5.9%
시 442
 
4.7%
물 424
 
4.5%
이 314
 
3.3%
식 307
 
3.3%
기 278
 
2.9%
자 249
 
2.6%
원 241
 
2.6%
농 231
 
2.4%
화 230
 
2.4%
Other values (303) 6160
65.3%
Uppercase Letter
ValueCountFrequency (%)
T 8
20.0%
S 7
17.5%
C 3
 
7.5%
E 3
 
7.5%
K 3
 
7.5%
N 3
 
7.5%
G 2
 
5.0%
F 2
 
5.0%
J 2
 
5.0%
Y 2
 
5.0%
Other values (4) 5
12.5%
Lowercase Letter
ValueCountFrequency (%)
a 5
23.8%
r 5
23.8%
g 4
19.0%
o 4
19.0%
c 1
 
4.8%
n 1
 
4.8%
m 1
 
4.8%
Decimal Number
ValueCountFrequency (%)
2 3
42.9%
3 3
42.9%
1 1
 
14.3%
Other Punctuation
ValueCountFrequency (%)
& 3
60.0%
. 2
40.0%
Space Separator
ValueCountFrequency (%)
993
100.0%
Close Punctuation
ValueCountFrequency (%)
) 455
100.0%
Open Punctuation
ValueCountFrequency (%)
( 444
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 28
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9463
82.8%
Common 1909
 
16.7%
Latin 61
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 559
 
5.9%
시 442
 
4.7%
물 424
 
4.5%
이 314
 
3.3%
식 307
 
3.2%
기 278
 
2.9%
자 249
 
2.6%
원 241
 
2.5%
농 231
 
2.4%
화 230
 
2.4%
Other values (304) 6188
65.4%
Latin
ValueCountFrequency (%)
T 8
13.1%
S 7
11.5%
a 5
 
8.2%
r 5
 
8.2%
g 4
 
6.6%
o 4
 
6.6%
C 3
 
4.9%
E 3
 
4.9%
K 3
 
4.9%
N 3
 
4.9%
Other values (11) 16
26.2%
Common
ValueCountFrequency (%)
993
52.0%
) 455
23.8%
( 444
23.3%
- 4
 
0.2%
2 3
 
0.2%
3 3
 
0.2%
& 3
 
0.2%
. 2
 
0.1%
1 1
 
0.1%
_ 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9435
82.5%
ASCII 1970
 
17.2%
None 28
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
993
50.4%
) 455
23.1%
( 444
22.5%
T 8
 
0.4%
S 7
 
0.4%
a 5
 
0.3%
r 5
 
0.3%
g 4
 
0.2%
- 4
 
0.2%
o 4
 
0.2%
Other values (21) 41
 
2.1%
Hangul
ValueCountFrequency (%)
주 559
 
5.9%
시 442
 
4.7%
물 424
 
4.5%
이 314
 
3.3%
식 307
 
3.3%
기 278
 
2.9%
자 249
 
2.6%
원 241
 
2.6%
농 231
 
2.4%
화 230
 
2.4%
Other values (303) 6160
65.3%
None
ValueCountFrequency (%)
㈜ 28
100.0%

제조장소재지도로명주소
Text

MISSING 

Distinct391
Distinct (%)37.5%
Missing100
Missing (%)8.8%
Memory size9.1 KiB
2024-03-23T01:55:42.710263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length42
Mean length22.02975
Min length13

Characters and Unicode

Total characters22955
Distinct characters285
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

Unique243 ?
Unique (%)23.3%

Sample

1st row경기도 가평군 가평읍 태봉두밀로 557-91
2nd row경기도 가평군 설악면 유명로 1090-246
3rd row경기도 고양시 일산동구 장진천길216번길 20(설문동)
4th row경기도 고양시 덕양구 고양시청로 10 (주교동, 고양시청)
5th row경기도 고양시 덕양구 고양대로 1695-10563 (원흥동, 고양시 농업기술센터)
ValueCountFrequency (%)
경기도 1042
 
20.6%
호국로 214
 
4.2%
1778-56 206
 
4.1%
의정부시 206
 
4.1%
화성시 159
 
3.1%
안성시 138
 
2.7%
여주시 93
 
1.8%
이천시 85
 
1.7%
포천시 65
 
1.3%
용인시 45
 
0.9%
Other values (851) 2814
55.5%
2024-03-23T01:55:44.080922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4028
 
17.5%
기 1094
 
4.8%
경 1059
 
4.6%
도 1055
 
4.6%
시 1034
 
4.5%
1 979
 
4.3%
로 773
 
3.4%
7 674
 
2.9%
- 653
 
2.8%
5 583
 
2.5%
Other values (275) 11023
48.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13181
57.4%
Decimal Number 4942
 
21.5%
Space Separator 4028
 
17.5%
Dash Punctuation 653
 
2.8%
Close Punctuation 50
 
0.2%
Open Punctuation 50
 
0.2%
Other Punctuation 44
 
0.2%
Lowercase Letter 6
 
< 0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 1094
 
8.3%
경 1059
 
8.0%
도 1055
 
8.0%
시 1034
 
7.8%
로 773
 
5.9%
면 491
 
3.7%
길 400
 
3.0%
성 363
 
2.8%
호 285
 
2.2%
정 263
 
2.0%
Other values (257) 6364
48.3%
Decimal Number
ValueCountFrequency (%)
1 979
19.8%
7 674
13.6%
5 583
11.8%
2 577
11.7%
8 530
10.7%
6 470
9.5%
3 381
 
7.7%
4 316
 
6.4%
9 230
 
4.7%
0 202
 
4.1%
Lowercase Letter
ValueCountFrequency (%)
s 4
66.7%
t 2
33.3%
Space Separator
ValueCountFrequency (%)
4028
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 653
100.0%
Close Punctuation
ValueCountFrequency (%)
) 50
100.0%
Open Punctuation
ValueCountFrequency (%)
( 50
100.0%
Other Punctuation
ValueCountFrequency (%)
, 44
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13181
57.4%
Common 9767
42.5%
Latin 7
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 1094
 
8.3%
경 1059
 
8.0%
도 1055
 
8.0%
시 1034
 
7.8%
로 773
 
5.9%
면 491
 
3.7%
길 400
 
3.0%
성 363
 
2.8%
호 285
 
2.2%
정 263
 
2.0%
Other values (257) 6364
48.3%
Common
ValueCountFrequency (%)
4028
41.2%
1 979
 
10.0%
7 674
 
6.9%
- 653
 
6.7%
5 583
 
6.0%
2 577
 
5.9%
8 530
 
5.4%
6 470
 
4.8%
3 381
 
3.9%
4 316
 
3.2%
Other values (5) 576
 
5.9%
Latin
ValueCountFrequency (%)
s 4
57.1%
t 2
28.6%
B 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13181
57.4%
ASCII 9774
42.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4028
41.2%
1 979
 
10.0%
7 674
 
6.9%
- 653
 
6.7%
5 583
 
6.0%
2 577
 
5.9%
8 530
 
5.4%
6 470
 
4.8%
3 381
 
3.9%
4 316
 
3.2%
Other values (8) 583
 
6.0%
Hangul
ValueCountFrequency (%)
기 1094
 
8.3%
경 1059
 
8.0%
도 1055
 
8.0%
시 1034
 
7.8%
로 773
 
5.9%
면 491
 
3.7%
길 400
 
3.0%
성 363
 
2.8%
호 285
 
2.2%
정 263
 
2.0%
Other values (257) 6364
48.3%

제조장소재지지번주소
Text

Distinct430
Distinct (%)37.7%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
2024-03-23T01:55:44.815891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length42
Mean length22.15324
Min length13

Characters and Unicode

Total characters25299
Distinct characters271
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

Unique266 ?
Unique (%)23.3%

Sample

1st row경기도 가평군 가평읍 두밀리 273-3번지
2nd row경기도 가평군 설악면 천안리 3-4번지
3rd row경기도 고양시 일산동구 장진천길216번길 20(설문동)
4th row경기도 고양시 덕양구 주교동 600번지
5th row경기도 고양시 덕양구 원흥동 471번지 10호
ValueCountFrequency (%)
경기도 1142
 
19.7%
자일동 206
 
3.5%
206-3번지 206
 
3.5%
의정부시 206
 
3.5%
화성시 193
 
3.3%
안성시 142
 
2.4%
여주시 94
 
1.6%
이천시 84
 
1.4%
1호 75
 
1.3%
평택시 71
 
1.2%
Other values (922) 3392
58.4%
2024-03-23T01:55:46.038394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4671
 
18.5%
도 1172
 
4.6%
기 1151
 
4.5%
경 1150
 
4.5%
시 1145
 
4.5%
지 969
 
3.8%
번 930
 
3.7%
리 762
 
3.0%
2 727
 
2.9%
1 667
 
2.6%
Other values (261) 11955
47.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15633
61.8%
Space Separator 4671
 
18.5%
Decimal Number 4377
 
17.3%
Dash Punctuation 590
 
2.3%
Other Punctuation 10
 
< 0.1%
Open Punctuation 8
 
< 0.1%
Close Punctuation 8
 
< 0.1%
Uppercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 1172
 
7.5%
기 1151
 
7.4%
경 1150
 
7.4%
시 1145
 
7.3%
지 969
 
6.2%
번 930
 
5.9%
리 762
 
4.9%
면 530
 
3.4%
동 459
 
2.9%
성 401
 
2.6%
Other values (245) 6964
44.5%
Decimal Number
ValueCountFrequency (%)
2 727
16.6%
1 667
15.2%
3 656
15.0%
6 461
10.5%
0 448
10.2%
8 353
8.1%
4 300
6.9%
5 297
6.8%
7 258
 
5.9%
9 210
 
4.8%
Space Separator
ValueCountFrequency (%)
4671
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 590
100.0%
Other Punctuation
ValueCountFrequency (%)
, 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15633
61.8%
Common 9664
38.2%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 1172
 
7.5%
기 1151
 
7.4%
경 1150
 
7.4%
시 1145
 
7.3%
지 969
 
6.2%
번 930
 
5.9%
리 762
 
4.9%
면 530
 
3.4%
동 459
 
2.9%
성 401
 
2.6%
Other values (245) 6964
44.5%
Common
ValueCountFrequency (%)
4671
48.3%
2 727
 
7.5%
1 667
 
6.9%
3 656
 
6.8%
- 590
 
6.1%
6 461
 
4.8%
0 448
 
4.6%
8 353
 
3.7%
4 300
 
3.1%
5 297
 
3.1%
Other values (5) 494
 
5.1%
Latin
ValueCountFrequency (%)
B 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15633
61.8%
ASCII 9666
38.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4671
48.3%
2 727
 
7.5%
1 667
 
6.9%
3 656
 
6.8%
- 590
 
6.1%
6 461
 
4.8%
0 448
 
4.6%
8 353
 
3.7%
4 300
 
3.1%
5 297
 
3.1%
Other values (6) 496
 
5.1%
Hangul
ValueCountFrequency (%)
도 1172
 
7.5%
기 1151
 
7.4%
경 1150
 
7.4%
시 1145
 
7.3%
지 969
 
6.2%
번 930
 
5.9%
리 762
 
4.9%
면 530
 
3.4%
동 459
 
2.9%
성 401
 
2.6%
Other values (245) 6964
44.5%

전화번호
Text

MISSING 

Distinct271
Distinct (%)33.1%
Missing324
Missing (%)28.4%
Memory size9.1 KiB
2024-03-23T01:55:46.729426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.992665
Min length9

Characters and Unicode

Total characters9810
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

Unique153 ?
Unique (%)18.7%

Sample

1st row031-581-3300
2nd row031-585-1442
3rd row031-8075-2689
4th row031-8075-4292
5th row031-969-6626
ValueCountFrequency (%)
031-821-8475 206
25.2%
031-881-0771 16
 
2.0%
031-674-0627 16
 
2.0%
031-494-1237 16
 
2.0%
031-634-2327 15
 
1.8%
031-683-2051 15
 
1.8%
000-000-0000 13
 
1.6%
031-683-9444 13
 
1.6%
031-632-4402 12
 
1.5%
031-642-0320 10
 
1.2%
Other values (261) 486
59.4%
2024-03-23T01:55:47.901508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1628
16.6%
1 1361
13.9%
0 1325
13.5%
3 1261
12.9%
8 883
9.0%
7 700
7.1%
2 666
6.8%
4 658
6.7%
5 533
 
5.4%
6 513
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8182
83.4%
Dash Punctuation 1628
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1361
16.6%
0 1325
16.2%
3 1261
15.4%
8 883
10.8%
7 700
8.6%
2 666
8.1%
4 658
8.0%
5 533
 
6.5%
6 513
 
6.3%
9 282
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 1628
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9810
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1628
16.6%
1 1361
13.9%
0 1325
13.5%
3 1261
12.9%
8 883
9.0%
7 700
7.1%
2 666
6.8%
4 658
6.7%
5 533
 
5.4%
6 513
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9810
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1628
16.6%
1 1361
13.9%
0 1325
13.5%
3 1261
12.9%
8 883
9.0%
7 700
7.1%
2 666
6.8%
4 658
6.7%
5 533
 
5.4%
6 513
 
5.2%

비료의 종류 및 명칭
Text

Distinct145
Distinct (%)12.7%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
2024-03-23T01:55:48.644581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length20
Mean length12.227671
Min length2

Characters and Unicode

Total characters13964
Distinct characters135
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique61 ?
Unique (%)5.3%

Sample

1st row가축분퇴비
2nd row가축분퇴비
3rd row가-복합비료-제4종복합(엽면시비용)
4th row나-부숙유기질비료-퇴비
5th row나-미생물비료-토양미생물제제
ValueCountFrequency (%)
퇴비 215
 
14.7%
부산물비료 206
 
14.1%
나-부숙유기질비료-가축분퇴비 90
 
6.2%
가-복합비료-제4종복합(엽면시비용 74
 
5.1%
가-미량요소비료-미량요소복합 73
 
5.0%
나-부숙유기질비료-퇴비 58
 
4.0%
나-미생물비료-토양미생물제제 58
 
4.0%
밖의 40
 
2.7%
가-복합비료-제4종복합(양액또는관주용 35
 
2.4%
가-복합비료-제4종복합(화초 32
 
2.2%
Other values (149) 578
39.6%
2024-03-23T01:55:49.867886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
비 1445
 
10.3%
- 1409
 
10.1%
료 958
 
6.9%
합 685
 
4.9%
복 636
 
4.6%
가 549
 
3.9%
제 435
 
3.1%
부 419
 
3.0%
퇴 390
 
2.8%
물 369
 
2.6%
Other values (125) 6669
47.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11316
81.0%
Dash Punctuation 1409
 
10.1%
Space Separator 317
 
2.3%
Decimal Number 277
 
2.0%
Other Punctuation 213
 
1.5%
Close Punctuation 207
 
1.5%
Open Punctuation 207
 
1.5%
Uppercase Letter 18
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
비 1445
 
12.8%
료 958
 
8.5%
합 685
 
6.1%
복 636
 
5.6%
가 549
 
4.9%
제 435
 
3.8%
부 419
 
3.7%
퇴 390
 
3.4%
물 369
 
3.3%
미 369
 
3.3%
Other values (112) 5061
44.7%
Decimal Number
ValueCountFrequency (%)
4 209
75.5%
2 34
 
12.3%
3 21
 
7.6%
1 13
 
4.7%
Other Punctuation
ValueCountFrequency (%)
, 206
96.7%
· 5
 
2.3%
/ 2
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
M 9
50.0%
U 9
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 1409
100.0%
Space Separator
ValueCountFrequency (%)
317
100.0%
Close Punctuation
ValueCountFrequency (%)
) 207
100.0%
Open Punctuation
ValueCountFrequency (%)
( 207
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11316
81.0%
Common 2630
 
18.8%
Latin 18
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
비 1445
 
12.8%
료 958
 
8.5%
합 685
 
6.1%
복 636
 
5.6%
가 549
 
4.9%
제 435
 
3.8%
부 419
 
3.7%
퇴 390
 
3.4%
물 369
 
3.3%
미 369
 
3.3%
Other values (112) 5061
44.7%
Common
ValueCountFrequency (%)
- 1409
53.6%
317
 
12.1%
4 209
 
7.9%
) 207
 
7.9%
( 207
 
7.9%
, 206
 
7.8%
2 34
 
1.3%
3 21
 
0.8%
1 13
 
0.5%
· 5
 
0.2%
Latin
ValueCountFrequency (%)
M 9
50.0%
U 9
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11316
81.0%
ASCII 2643
 
18.9%
None 5
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
비 1445
 
12.8%
료 958
 
8.5%
합 685
 
6.1%
복 636
 
5.6%
가 549
 
4.9%
제 435
 
3.8%
부 419
 
3.7%
퇴 390
 
3.4%
물 369
 
3.3%
미 369
 
3.3%
Other values (112) 5061
44.7%
ASCII
ValueCountFrequency (%)
- 1409
53.3%
317
 
12.0%
4 209
 
7.9%
) 207
 
7.8%
( 207
 
7.8%
, 206
 
7.8%
2 34
 
1.3%
3 21
 
0.8%
1 13
 
0.5%
M 9
 
0.3%
Other values (2) 11
 
0.4%
None
ValueCountFrequency (%)
· 5
100.0%

생산능력(톤/일)
Real number (ℝ)

HIGH CORRELATION  MISSING  SKEWED  ZEROS 

Distinct74
Distinct (%)8.2%
Missing244
Missing (%)21.4%
Infinite0
Infinite (%)0.0%
Mean17.188062
Minimum0
Maximum7584
Zeros325
Zeros (%)28.5%
Negative0
Negative (%)0.0%
Memory size10.2 KiB
2024-03-23T01:55:50.391482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q39.6
95-th percentile40
Maximum7584
Range7584
Interquartile range (IQR)9.6

Descriptive statistics

Standard deviation253.65579
Coefficient of variation (CV)14.757672
Kurtosis885.75322
Mean17.188062
Median Absolute Deviation (MAD)1
Skewness29.663076
Sum15434.88
Variance64341.262
MonotonicityNot monotonic
2024-03-23T01:55:51.120086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 325
28.5%
9.6 206
18.0%
1.0 76
 
6.7%
0.5 43
 
3.8%
2.0 22
 
1.9%
3.0 20
 
1.8%
40.0 17
 
1.5%
20.0 16
 
1.4%
0.1 13
 
1.1%
10.0 13
 
1.1%
Other values (64) 147
12.9%
(Missing) 244
21.4%
ValueCountFrequency (%)
0.0 325
28.5%
0.01 1
 
0.1%
0.04 2
 
0.2%
0.07 1
 
0.1%
0.1 13
 
1.1%
0.18 1
 
0.1%
0.2 8
 
0.7%
0.3 8
 
0.7%
0.4 3
 
0.3%
0.5 43
 
3.8%
ValueCountFrequency (%)
7584.0 1
 
0.1%
282.8 1
 
0.1%
173.0 1
 
0.1%
170.0 1
 
0.1%
140.0 1
 
0.1%
115.0 1
 
0.1%
110.0 1
 
0.1%
100.0 9
0.8%
99.0 1
 
0.1%
85.0 1
 
0.1%

사업자등록번호
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct39
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
<NA>
953 
N
 
85
119-04-98107
 
16
1268636522
 
12
1268104364
 
12
Other values (34)
 
64

Length

Max length12
Median length4
Mean length4.3581436
Min length1

Unique

Unique22 ?
Unique (%)1.9%

Sample

1st row1328203479
2nd row1328174356
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 953
83.5%
N 85
 
7.4%
119-04-98107 16
 
1.4%
1268636522 12
 
1.1%
1268104364 12
 
1.1%
1268176591 10
 
0.9%
7038800301 4
 
0.4%
1268179623 4
 
0.4%
2151433610 4
 
0.4%
1260698638 3
 
0.3%
Other values (29) 39
 
3.4%

Length

2024-03-23T01:55:51.764194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 953
83.5%
n 85
 
7.4%
119-04-98107 16
 
1.4%
1268636522 12
 
1.1%
1268104364 12
 
1.1%
1268176591 10
 
0.9%
7038800301 4
 
0.4%
1268179623 4
 
0.4%
2151433610 4
 
0.4%
1260698638 3
 
0.3%
Other values (29) 39
 
3.4%

제조원자재비율정보
Text

MISSING 

Distinct388
Distinct (%)62.7%
Missing523
Missing (%)45.8%
Memory size9.1 KiB
2024-03-23T01:55:52.359100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length561
Median length176
Mean length44.056543
Min length1

Characters and Unicode

Total characters27271
Distinct characters388
Distinct categories13 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique363 ?
Unique (%)58.6%

Sample

1st row계분(60%)+톱밥(45%)
2nd row계분(10%)+우분(35%)+돈분(10%)+톱밥(45%)
3rd row녹차(30%)+무화과(40%)+뽕잎(30%)
4th row음식물류폐기물(50%)+톱밥(50%)
5th row종균(0.3%)+전용배지(2%)+멸균수(97.7%)
ValueCountFrequency (%)
318
 
8.1%
음식물류 212
 
5.4%
94.8 206
 
5.3%
톱밥(5.2 206
 
5.3%
폐기물(탈수고형물 206
 
5.3%
5 88
 
2.2%
10 56
 
1.4%
20 50
 
1.3%
계분 38
 
1.0%
물 37
 
0.9%
Other values (1243) 2503
63.9%
2024-03-23T01:55:53.587183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3323
 
12.2%
% 2080
 
7.6%
0 1376
 
5.0%
. 1160
 
4.3%
, 1144
 
4.2%
) 901
 
3.3%
( 898
 
3.3%
물 883
 
3.2%
5 877
 
3.2%
2 693
 
2.5%
Other values (378) 13936
51.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9783
35.9%
Decimal Number 5830
21.4%
Other Punctuation 4516
16.6%
Space Separator 3323
 
12.2%
Close Punctuation 901
 
3.3%
Open Punctuation 898
 
3.3%
Lowercase Letter 878
 
3.2%
Math Symbol 523
 
1.9%
Uppercase Letter 495
 
1.8%
Dash Punctuation 106
 
0.4%
Other values (3) 18
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
물 883
 
9.0%
산 393
 
4.0%
수 363
 
3.7%
밥 319
 
3.3%
톱 318
 
3.3%
분 306
 
3.1%
식 265
 
2.7%
기 246
 
2.5%
폐 244
 
2.5%
음 237
 
2.4%
Other values (303) 6209
63.5%
Lowercase Letter
ValueCountFrequency (%)
e 107
12.2%
o 82
9.3%
l 80
 
9.1%
i 72
 
8.2%
t 71
 
8.1%
a 70
 
8.0%
s 60
 
6.8%
c 52
 
5.9%
u 46
 
5.2%
r 38
 
4.3%
Other values (14) 200
22.8%
Uppercase Letter
ValueCountFrequency (%)
O 64
12.9%
H 45
9.1%
E 45
9.1%
T 44
8.9%
D 43
8.7%
A 41
 
8.3%
N 32
 
6.5%
M 31
 
6.3%
P 23
 
4.6%
K 22
 
4.4%
Other values (12) 105
21.2%
Decimal Number
ValueCountFrequency (%)
0 1376
23.6%
5 877
15.0%
2 693
11.9%
1 644
11.0%
4 505
 
8.7%
8 460
 
7.9%
9 458
 
7.9%
3 390
 
6.7%
6 227
 
3.9%
7 200
 
3.4%
Other Punctuation
ValueCountFrequency (%)
% 2080
46.1%
. 1160
25.7%
, 1144
25.3%
: 63
 
1.4%
/ 61
 
1.4%
· 5
 
0.1%
? 2
 
< 0.1%
* 1
 
< 0.1%
Other Number
ValueCountFrequency (%)
₃ 3
42.9%
₄ 2
28.6%
₂ 2
28.6%
Math Symbol
ValueCountFrequency (%)
+ 520
99.4%
× 3
 
0.6%
Space Separator
ValueCountFrequency (%)
3323
100.0%
Close Punctuation
ValueCountFrequency (%)
) 901
100.0%
Open Punctuation
ValueCountFrequency (%)
( 898
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 106
100.0%
Modifier Symbol
ValueCountFrequency (%)
^ 7
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 16115
59.1%
Hangul 9783
35.9%
Latin 1373
 
5.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
물 883
 
9.0%
산 393
 
4.0%
수 363
 
3.7%
밥 319
 
3.3%
톱 318
 
3.3%
분 306
 
3.1%
식 265
 
2.7%
기 246
 
2.5%
폐 244
 
2.5%
음 237
 
2.4%
Other values (303) 6209
63.5%
Latin
ValueCountFrequency (%)
e 107
 
7.8%
o 82
 
6.0%
l 80
 
5.8%
i 72
 
5.2%
t 71
 
5.2%
a 70
 
5.1%
O 64
 
4.7%
s 60
 
4.4%
c 52
 
3.8%
u 46
 
3.4%
Other values (36) 669
48.7%
Common
ValueCountFrequency (%)
3323
20.6%
% 2080
12.9%
0 1376
8.5%
. 1160
 
7.2%
, 1144
 
7.1%
) 901
 
5.6%
( 898
 
5.6%
5 877
 
5.4%
2 693
 
4.3%
1 644
 
4.0%
Other values (19) 3019
18.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 17473
64.1%
Hangul 9783
35.9%
None 15
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3323
19.0%
% 2080
11.9%
0 1376
 
7.9%
. 1160
 
6.6%
, 1144
 
6.5%
) 901
 
5.2%
( 898
 
5.1%
5 877
 
5.0%
2 693
 
4.0%
1 644
 
3.7%
Other values (60) 4377
25.1%
Hangul
ValueCountFrequency (%)
물 883
 
9.0%
산 393
 
4.0%
수 363
 
3.7%
밥 319
 
3.3%
톱 318
 
3.3%
분 306
 
3.1%
식 265
 
2.7%
기 246
 
2.5%
폐 244
 
2.5%
음 237
 
2.4%
Other values (303) 6209
63.5%
None
ValueCountFrequency (%)
· 5
33.3%
₃ 3
20.0%
× 3
20.0%
₄ 2
 
13.3%
₂ 2
 
13.3%

정제WGS84위도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct388
Distinct (%)36.8%
Missing89
Missing (%)7.8%
Infinite0
Infinite (%)0.0%
Mean37.40188
Minimum36.925395
Maximum38.181716
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.2 KiB
2024-03-23T01:55:54.046028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.925395
5-th percentile37.033193
Q137.140864
median37.268531
Q337.763095
95-th percentile37.901445
Maximum38.181716
Range1.2563204
Interquartile range (IQR)0.62223137

Descriptive statistics

Standard deviation0.32222358
Coefficient of variation (CV)0.0086151709
Kurtosis-1.2108311
Mean37.40188
Median Absolute Deviation (MAD)0.21327577
Skewness0.44602344
Sum39384.179
Variance0.10382804
MonotonicityNot monotonic
2024-03-23T01:55:54.508452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.7630949412 206
 
18.0%
37.1408635716 21
 
1.8%
37.166769894 20
 
1.8%
37.0386726865 20
 
1.8%
37.3054957107 16
 
1.4%
37.3582503848 16
 
1.4%
37.1810667422 12
 
1.1%
37.3342941909 12
 
1.1%
37.1505978354 11
 
1.0%
37.1544008909 11
 
1.0%
Other values (378) 708
62.0%
(Missing) 89
 
7.8%
ValueCountFrequency (%)
36.9253952984 1
 
0.1%
36.9276418087 1
 
0.1%
36.9334477579 1
 
0.1%
36.9342969441 2
 
0.2%
36.9378301932 5
0.4%
36.9465854043 1
 
0.1%
36.9475476427 7
0.6%
36.9534512437 4
0.4%
36.9594423372 1
 
0.1%
36.9641226194 1
 
0.1%
ValueCountFrequency (%)
38.1817156786 1
 
0.1%
38.1641308244 1
 
0.1%
38.1603634369 1
 
0.1%
38.157958008 1
 
0.1%
38.114051808 1
 
0.1%
38.1104548632 1
 
0.1%
38.1070423004 4
0.4%
38.1040569576 1
 
0.1%
38.1015389317 1
 
0.1%
38.0987115059 1
 
0.1%

정제WGS84경도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct388
Distinct (%)36.8%
Missing89
Missing (%)7.8%
Infinite0
Infinite (%)0.0%
Mean127.16255
Minimum126.53695
Maximum127.78558
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.2 KiB
2024-03-23T01:55:54.996404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.53695
5-th percentile126.76226
Q1126.98074
median127.09667
Q3127.33196
95-th percentile127.6384
Maximum127.78558
Range1.2486329
Interquartile range (IQR)0.35121965

Descriptive statistics

Standard deviation0.26774859
Coefficient of variation (CV)0.0021055616
Kurtosis-0.47152879
Mean127.16255
Median Absolute Deviation (MAD)0.16601005
Skewness0.15202163
Sum133902.17
Variance0.071689306
MonotonicityNot monotonic
2024-03-23T01:55:55.477774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.0966698454 206
 
18.0%
126.9648697378 21
 
1.8%
126.8446074054 20
 
1.8%
127.1947974683 20
 
1.8%
126.7902122221 16
 
1.4%
127.6636687717 16
 
1.4%
127.4942432333 12
 
1.1%
127.4766439396 12
 
1.1%
127.0083478328 11
 
1.0%
126.8794449555 11
 
1.0%
Other values (378) 708
62.0%
(Missing) 89
 
7.8%
ValueCountFrequency (%)
126.5369476552 2
0.2%
126.5393643772 1
0.1%
126.5496341771 1
0.1%
126.5514966635 1
0.1%
126.5556600139 1
0.1%
126.5589933557 2
0.2%
126.5624770937 1
0.1%
126.5642352674 1
0.1%
126.5650006764 1
0.1%
126.5696977351 1
0.1%
ValueCountFrequency (%)
127.7855805084 1
 
0.1%
127.7794522186 1
 
0.1%
127.7699422878 2
 
0.2%
127.7661003765 1
 
0.1%
127.753011086 3
0.3%
127.7261052615 4
0.4%
127.7089423485 2
 
0.2%
127.6980925846 6
0.5%
127.6900781314 3
0.3%
127.6886907538 1
 
0.1%

데이터기준일자
Categorical

HIGH CORRELATION 

Distinct21
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
2024-03-04
210 
2023-04-19
206 
2024-02-27
142 
2024-03-01
94 
2023-08-11
84 
Other values (16)
406 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-02-08
2nd row2024-02-08
3rd row2023-02-13
4th row2023-02-13
5th row2023-02-13

Common Values

ValueCountFrequency (%)
2024-03-04 210
18.4%
2023-04-19 206
18.0%
2024-02-27 142
12.4%
2024-03-01 94
8.2%
2023-08-11 84
 
7.4%
2024-03-06 79
 
6.9%
2023-06-01 70
 
6.1%
2019-01-01 45
 
3.9%
2023-02-13 36
 
3.2%
2023-09-18 31
 
2.7%
Other values (11) 145
12.7%

Length

2024-03-23T01:55:55.918801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2024-03-04 210
18.4%
2023-04-19 206
18.0%
2024-02-27 142
12.4%
2024-03-01 94
8.2%
2023-08-11 84
 
7.4%
2024-03-06 79
 
6.9%
2023-06-01 70
 
6.1%
2019-01-01 45
 
3.9%
2023-02-13 36
 
3.2%
2023-09-18 31
 
2.7%
Other values (11) 145
12.7%

비고
Text

MISSING 

Distinct3
Distinct (%)100.0%
Missing1139
Missing (%)99.7%
Memory size9.1 KiB
2024-03-23T01:55:56.286541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length3
Mean length5.3333333
Min length2

Characters and Unicode

Total characters16
Distinct characters14
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

Unique3 ?
Unique (%)100.0%

Sample

1st row2종생산(액상,분상)
2nd row수입업
3rd row휴업
ValueCountFrequency (%)
2종생산(액상,분상 1
33.3%
수입업 1
33.3%
휴업 1
33.3%
2024-03-23T01:55:56.999910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
상 2
12.5%
업 2
12.5%
2 1
 
6.2%
종 1
 
6.2%
생 1
 
6.2%
산 1
 
6.2%
( 1
 
6.2%
액 1
 
6.2%
, 1
 
6.2%
분 1
 
6.2%
Other values (4) 4
25.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12
75.0%
Decimal Number 1
 
6.2%
Open Punctuation 1
 
6.2%
Other Punctuation 1
 
6.2%
Close Punctuation 1
 
6.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 2
16.7%
업 2
16.7%
종 1
8.3%
생 1
8.3%
산 1
8.3%
액 1
8.3%
분 1
8.3%
수 1
8.3%
입 1
8.3%
휴 1
8.3%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12
75.0%
Common 4
 
25.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 2
16.7%
업 2
16.7%
종 1
8.3%
생 1
8.3%
산 1
8.3%
액 1
8.3%
분 1
8.3%
수 1
8.3%
입 1
8.3%
휴 1
8.3%
Common
ValueCountFrequency (%)
2 1
25.0%
( 1
25.0%
, 1
25.0%
) 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12
75.0%
ASCII 4
 
25.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
상 2
16.7%
업 2
16.7%
종 1
8.3%
생 1
8.3%
산 1
8.3%
액 1
8.3%
분 1
8.3%
수 1
8.3%
입 1
8.3%
휴 1
8.3%
ASCII
ValueCountFrequency (%)
2 1
25.0%
( 1
25.0%
, 1
25.0%
) 1
25.0%

Interactions

2024-03-23T01:55:36.958431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T01:55:35.095370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T01:55:36.019668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T01:55:37.391301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T01:55:35.422774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T01:55:36.355208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T01:55:37.716109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T01:55:35.718289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T01:55:36.662862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-23T01:55:57.263421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명생산능력(톤/일)사업자등록번호정제WGS84위도정제WGS84경도데이터기준일자비고
시군명1.0000.1150.8840.9490.9431.000NaN
생산능력(톤/일)0.1151.000NaN0.0000.1880.148NaN
사업자등록번호0.884NaN1.0000.8750.9260.884NaN
정제WGS84위도0.9490.0000.8751.0000.8450.9271.000
정제WGS84경도0.9430.1880.9260.8451.0000.9291.000
데이터기준일자1.0000.1480.8840.9270.9291.000NaN
비고NaNNaNNaN1.0001.000NaN1.000
2024-03-23T01:55:57.564785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업자등록번호시군명데이터기준일자
사업자등록번호1.0000.5600.560
시군명0.5601.0000.998
데이터기준일자0.5600.9981.000
2024-03-23T01:55:57.821533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
생산능력(톤/일)정제WGS84위도정제WGS84경도시군명사업자등록번호데이터기준일자
생산능력(톤/일)1.0000.5800.0570.1001.0000.115
정제WGS84위도0.5801.000-0.1390.7410.5440.682
정제WGS84경도0.057-0.1391.0000.7210.6280.688
시군명0.1000.7410.7211.0000.5600.998
사업자등록번호1.0000.5440.6280.5601.0000.560
데이터기준일자0.1150.6820.6880.9980.5601.000

Missing values

2024-03-23T01:55:38.147501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-23T01:55:38.842162image/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.
2024-03-23T01:55:39.514597image/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)명제조장소재지도로명주소제조장소재지지번주소전화번호비료의 종류 및 명칭생산능력(톤/일)사업자등록번호제조원자재비율정보정제WGS84위도정제WGS84경도데이터기준일자비고
0가평군영농조합법인 대청경기도 가평군 가평읍 태봉두밀로 557-91경기도 가평군 가평읍 두밀리 273-3번지031-581-3300가축분퇴비30.141328203479계분(60%)+톱밥(45%)37.809892127.4426062024-02-08<NA>
1가평군영농조합법인 참좋은가평비료경기도 가평군 설악면 유명로 1090-246경기도 가평군 설악면 천안리 3-4번지031-585-1442가축분퇴비11.51328174356계분(10%)+우분(35%)+돈분(10%)+톱밥(45%)37.636182127.4879292024-02-08<NA>
2고양시SG코스매틱경기도 고양시 일산동구 장진천길216번길 20(설문동)경기도 고양시 일산동구 장진천길216번길 20(설문동)<NA>가-복합비료-제4종복합(엽면시비용)1.0<NA>녹차(30%)+무화과(40%)+뽕잎(30%)37.725281126.8071162023-02-13<NA>
3고양시고양바이오매스_자원순환과경기도 고양시 덕양구 고양시청로 10 (주교동, 고양시청)경기도 고양시 덕양구 주교동 600번지031-8075-2689나-부숙유기질비료-퇴비<NA><NA>음식물류폐기물(50%)+톱밥(50%)37.658411126.8319652023-02-13<NA>
4고양시고양시농업기술센터경기도 고양시 덕양구 고양대로 1695-10563 (원흥동, 고양시 농업기술센터)경기도 고양시 덕양구 원흥동 471번지 10호031-8075-4292나-미생물비료-토양미생물제제<NA><NA>종균(0.3%)+전용배지(2%)+멸균수(97.7%)37.649298126.8677552023-02-13<NA>
5고양시고양축협친환경사업소경기도 고양시 덕양구 호국로 915-18 (성사동)경기도 고양시 덕양구 호국로 915-18 (성사동)031-969-6626나-부숙유기질비료-가축분뇨발효액<NA><NA>축산분뇨(90%)+미생물제(10%)37.665422126.8445112023-02-13<NA>
6고양시농업회사법인 (유)버미팜경기도 고양시 덕양구 해포길 274-3 (화전동)경기도 고양시 덕양구 화전동 790번지 2호02-3159-8830나-그 밖의 비료-지렁이분<NA><NA><NA>37.60555126.8566492023-02-13<NA>
7고양시벽제농업협동조합경기도 고양시 장진천길 145-12(설문동)경기도 고양시 덕양구 관산동 226번지 2호031-977-6526나-부숙유기질비료-가축분퇴비55.0<NA>계분(30%)+우분(40%)+톱밥(28%)+토양미생물(2%)37.720511126.8083062023-02-13<NA>
8고양시뿌리깊은나무 주식회사경기도 고양시 덕양구 삼원로 51 줌하이필드지식산업센터 407호(원흥동)경기도 고양시 덕양구 삼원로 51 줌하이필드지식산업센터 407호(원흥동)031-966-3589가-미량요소비료-미량요소복합0.5<NA>붕소(0.0897%)+황산아연(0.2313%)+몰디브덴산암모늄(0.0010%)37.641138126.8757252023-02-13<NA>
9고양시뿌리깊은나무 주식회사경기도 고양시 덕양구 삼원로 51 줌하이필드지식산업센터 407호(원흥동)경기도 고양시 덕양구 삼원로 51 줌하이필드지식산업센터 407호(원흥동)031-966-3589가-복합비료-제4종복합(엽면시비용)0.5<NA>인산칼륨(10.32%)+황산구리(0.2068%)+붕소(0.0897%)+동물성아미노산(70%)+물(19.3835%)37.641138126.8757252023-02-13<NA>
시군명법인(상호)명제조장소재지도로명주소제조장소재지지번주소전화번호비료의 종류 및 명칭생산능력(톤/일)사업자등록번호제조원자재비율정보정제WGS84위도정제WGS84경도데이터기준일자비고
1132화성시한국미네랄바이오기술(주)경기도 화성시 향남읍 도이2길 82-7경기도 화성시 향남읍 도이리 273번지 10호<NA>가-그 밖의 비료-제오라이트0.4<NA><NA>37.138011126.934852024-03-04<NA>
1133화성시한국미네랄바이오기술(주)경기도 화성시 향남읍 도이2길 82-7경기도 화성시 향남읍 도이리 273번지 10호<NA>가-복합비료-제4종복합(엽면시비용)0.4<NA><NA>37.138011126.934852024-03-04<NA>
1134화성시화성시농업기술센터경기도 화성시 장안면 풍무길80번길 53-20경기도 화성시 장안면 독정리 1290<NA>나-미생물비료-토양미생물제제0.0<NA><NA>37.076403126.8728592024-03-04<NA>
1135화성시화성시농업기술센터경기도 화성시 장안면 풍무길80번길 53-20경기도 화성시 장안면 독정리 1290<NA>나-미생물비료-토양활성제제1.0<NA><NA>37.076403126.8728592024-03-04<NA>
1136화성시화성양돈영농조합법인경기도 화성시 장안면 고해길 27경기도 화성시 장안면 독정리 34번지 6호<NA>나-부숙유기질비료-가축분뇨발효액170.0<NA><NA>37.068312126.8650852024-03-04<NA>
1137화성시화성양돈영농조합법인경기도 화성시 장안면 고해길 27경기도 화성시 장안면 독정리 34번지 6호<NA>나-부숙유기질비료-가축분퇴비0.0<NA><NA>37.068312126.8650852024-03-04<NA>
1138화성시흙이랑경기도 화성시 양감면 용소금각로 145-32경기도 화성시 양감면 용소리 1109번지<NA>가-미량요소비료-미량요소복합0.0<NA><NA>37.082991126.9849322024-03-04<NA>
1139화성시흙이랑경기도 화성시 양감면 용소금각로 145-32경기도 화성시 양감면 용소리 1109번지<NA>가-유기질비료-골분0.0<NA><NA>37.082991126.9849322024-03-04<NA>
1140화성시흙이랑경기도 화성시 양감면 용소금각로 145-32경기도 화성시 양감면 용소리 1109번지<NA>나-부숙유기질비료-건조 축산 폐기물0.0<NA><NA>37.082991126.9849322024-03-04<NA>
1141화성시흙이랑경기도 화성시 양감면 용소금각로 145-32경기도 화성시 양감면 용소리 1109번지<NA>나-부숙유기질비료-퇴비0.0<NA><NA>37.082991126.9849322024-03-04<NA>

Duplicate rows

Most frequently occurring

시군명법인(상호)명제조장소재지도로명주소제조장소재지지번주소전화번호비료의 종류 및 명칭생산능력(톤/일)사업자등록번호제조원자재비율정보정제WGS84위도정제WGS84경도데이터기준일자비고# duplicates
16의정부시의정부시 음식물류 폐기물 자원화 시설경기도 의정부시 호국로 1778-56경기도 의정부시 자일동 206-3번지031-821-8475부산물비료, 퇴비9.6<NA>음식물류 폐기물(탈수고형물, 94.8%) + 톱밥(5.2%)37.763095127.096672023-04-19<NA>206
21평택시(주)정현그린텍<NA>경기도 평택시 청북읍 삼계리 452번지031-683-2051혼합유박<NA><NA><NA><NA><NA>2023-06-01<NA>7
20평택시(주)정현그린텍<NA>경기도 평택시 청북읍 삼계리 452번지031-683-2051혼합유기질<NA><NA><NA><NA><NA>2023-06-01<NA>5
0광주시주식회사 코리아팜텍경기도 광주시 오포읍 신현리 32번지 1호경기도 광주시 신현동 32번지 1호070-8821-3993미량요소복합비료5.0<NA>EDTA철 0.85% 몰리브덴산나트륨 0.002% 물 99.148%<NA><NA>2023-09-18<NA>2
1남양주시주식회사 브이23바이오경기도 남양주시 화도읍 마치로284번길 117-1, 2동경기도 남양주시 화도읍 녹촌리 329-1 2동031-594-2283가-복합비료-제4종복합(화초)0.5<NA><NA>37.645251127.2838892024-03-04<NA>2
2안성시안성시농업기술센터경기도 안성시 보개면 보개원삼로 219, 안성시농업기술센터경기도 안성시 보개면 불현리 189-2 안성시농업기술센터031-678-3116나-미생물비료-토양미생물제제1.0<NA><NA>37.023477127.2868212024-02-27<NA>2
3양주시(주) 새한비료경기도 양주시 광적면 화합로 179-52경기도 양주시 광적면 덕도리 809031-871-3568가축분퇴비100.0<NA>계분55%, 톱밥17%, 수피6%, 난각1%, 동물성잔재물(육가공잔사)5.5%, 식물성잔재물(채소류)6%, 커피박 5%, 미생물 4.5%37.859942126.9557462024-02-22<NA>2
4양주시(주)그린로직스경기도 양주시 광적면 부흥로618번길 90-127경기도 양주시 광적면 우고리 24000-000-0000미량요소복합0.3<NA>돈분냉각응축액100%, 붕소 0.089%, 몰리브덴 0.001%37.816522126.9667222024-02-22<NA>2
5양주시(주)이비코경기도 양주시 청담로275번길 63경기도 양주시 고암동 50002-3411-4626미량요소복합1.0<NA>수용성붕소(H3BO3) 0.0897%, 수용성몰리브덴(nh4)6M07O24H2O)0.0010%, 물 99.9093%37.822004127.0660122024-02-22<NA>2
6양주시(주)후인바이오<NA>경기도 양주시 덕계동 353000-000-0000지렁이분0.5<NA>수용성인산 0.01%, 수용성칼리 0.04%, 수용성고토 0.01%, 수용성붕소 0.001%, 물99.939%37.811232127.0501012024-02-22<NA>2