Overview

Dataset statistics

Number of variables9
Number of observations139
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.3 KiB
Average record size in memory75.9 B

Variable types

Text3
Categorical3
Numeric3

Dataset

Description충청남도 예산군 음식물쓰레기 다량배출사업장 현황입니다.(사업장 주소, 연락처, 사업장 구분, 규모, 배출량, 처리방법 등 제공)
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=307&beforeMenuCd=DOM_000000201001001000&publicdatapk=15094263

Alerts

처리방법구분 has constant value ""Constant
사업장규모 is highly overall correlated with 사업장구분High correlation
월배출예상량(Kg) is highly overall correlated with 년배출예상량(Kg)High correlation
년배출예상량(Kg) is highly overall correlated with 월배출예상량(Kg)High correlation
사업장구분 is highly overall correlated with 사업장규모High correlation

Reproduction

Analysis started2024-03-13 11:47:25.804766
Analysis finished2024-03-13 11:47:27.843593
Duration2.04 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

상호명
Text

Distinct137
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-03-13T20:47:28.174156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length18
Mean length7.647482
Min length2

Characters and Unicode

Total characters1063
Distinct characters262
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

Unique135 ?
Unique (%)97.1%

Sample

1st row덕산초등학교
2nd row광시길한우타운식당
3rd row한백당한식뷔페
4th row(주)고려비엔피
5th row장춘한식
ValueCountFrequency (%)
주)녹수 3
 
1.8%
예산점 3
 
1.8%
예가숯불갈비 2
 
1.2%
심원개발 2
 
1.2%
예산명지병원 2
 
1.2%
주)푸디스트 2
 
1.2%
봉산공장 2
 
1.2%
내포신도시점 2
 
1.2%
신양농협 1
 
0.6%
쿡케이 1
 
0.6%
Other values (149) 149
88.2%
2024-03-13T20:47:28.926994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
산 48
 
4.5%
예 40
 
3.8%
30
 
2.8%
교 26
 
2.4%
장 26
 
2.4%
학 25
 
2.4%
( 25
 
2.4%
주 25
 
2.4%
) 25
 
2.4%
식 23
 
2.2%
Other values (252) 770
72.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 974
91.6%
Space Separator 30
 
2.8%
Open Punctuation 25
 
2.4%
Close Punctuation 25
 
2.4%
Dash Punctuation 4
 
0.4%
Uppercase Letter 2
 
0.2%
Decimal Number 2
 
0.2%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 48
 
4.9%
예 40
 
4.1%
교 26
 
2.7%
장 26
 
2.7%
학 25
 
2.6%
주 25
 
2.6%
식 23
 
2.4%
한 23
 
2.4%
원 19
 
2.0%
점 18
 
1.8%
Other values (243) 701
72.0%
Uppercase Letter
ValueCountFrequency (%)
C 1
50.0%
J 1
50.0%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
1 1
50.0%
Space Separator
ValueCountFrequency (%)
30
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 974
91.6%
Common 87
 
8.2%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 48
 
4.9%
예 40
 
4.1%
교 26
 
2.7%
장 26
 
2.7%
학 25
 
2.6%
주 25
 
2.6%
식 23
 
2.4%
한 23
 
2.4%
원 19
 
2.0%
점 18
 
1.8%
Other values (243) 701
72.0%
Common
ValueCountFrequency (%)
30
34.5%
( 25
28.7%
) 25
28.7%
- 4
 
4.6%
2 1
 
1.1%
1 1
 
1.1%
& 1
 
1.1%
Latin
ValueCountFrequency (%)
C 1
50.0%
J 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 974
91.6%
ASCII 89
 
8.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
산 48
 
4.9%
예 40
 
4.1%
교 26
 
2.7%
장 26
 
2.7%
학 25
 
2.6%
주 25
 
2.6%
식 23
 
2.4%
한 23
 
2.4%
원 19
 
2.0%
점 18
 
1.8%
Other values (243) 701
72.0%
ASCII
ValueCountFrequency (%)
30
33.7%
( 25
28.1%
) 25
28.1%
- 4
 
4.5%
C 1
 
1.1%
J 1
 
1.1%
2 1
 
1.1%
1 1
 
1.1%
& 1
 
1.1%

소재지도로명주소
Text

Distinct133
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-03-13T20:47:29.297164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length45
Mean length23.719424
Min length18

Characters and Unicode

Total characters3297
Distinct characters157
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique127 ?
Unique (%)91.4%

Sample

1st row충청남도 예산군 덕산면 봉운로 38
2nd row충청남도 예산군 광시면 예당로 156
3rd row충청남도 예산군 오가면 충서로 381
4th row충청남도 예산군 신암면 추사로 235-9
5th row충청남도 예산군 삽교읍 수암산로 253
ValueCountFrequency (%)
예산군 139
18.7%
충청남도 138
18.6%
예산읍 51
 
6.9%
삽교읍 33
 
4.4%
덕산면 11
 
1.5%
고덕면 9
 
1.2%
예당로 7
 
0.9%
충서로 7
 
0.9%
수암산로 6
 
0.8%
광시면 6
 
0.8%
Other values (220) 335
45.1%
2024-03-13T20:47:29.842084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
603
18.3%
산 244
 
7.4%
예 218
 
6.6%
청 153
 
4.6%
충 148
 
4.5%
도 144
 
4.4%
군 142
 
4.3%
남 139
 
4.2%
로 112
 
3.4%
1 110
 
3.3%
Other values (147) 1284
38.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2122
64.4%
Space Separator 603
 
18.3%
Decimal Number 494
 
15.0%
Connector Punctuation 32
 
1.0%
Dash Punctuation 28
 
0.8%
Close Punctuation 8
 
0.2%
Open Punctuation 8
 
0.2%
Math Symbol 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 244
 
11.5%
예 218
 
10.3%
청 153
 
7.2%
충 148
 
7.0%
도 144
 
6.8%
군 142
 
6.7%
남 139
 
6.6%
로 112
 
5.3%
읍 84
 
4.0%
면 55
 
2.6%
Other values (131) 683
32.2%
Decimal Number
ValueCountFrequency (%)
1 110
22.3%
2 80
16.2%
0 53
10.7%
3 47
9.5%
4 40
 
8.1%
9 38
 
7.7%
8 38
 
7.7%
5 33
 
6.7%
6 30
 
6.1%
7 25
 
5.1%
Space Separator
ValueCountFrequency (%)
603
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 32
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 28
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2122
64.4%
Common 1175
35.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 244
 
11.5%
예 218
 
10.3%
청 153
 
7.2%
충 148
 
7.0%
도 144
 
6.8%
군 142
 
6.7%
남 139
 
6.6%
로 112
 
5.3%
읍 84
 
4.0%
면 55
 
2.6%
Other values (131) 683
32.2%
Common
ValueCountFrequency (%)
603
51.3%
1 110
 
9.4%
2 80
 
6.8%
0 53
 
4.5%
3 47
 
4.0%
4 40
 
3.4%
9 38
 
3.2%
8 38
 
3.2%
5 33
 
2.8%
_ 32
 
2.7%
Other values (6) 101
 
8.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2122
64.4%
ASCII 1175
35.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
603
51.3%
1 110
 
9.4%
2 80
 
6.8%
0 53
 
4.5%
3 47
 
4.0%
4 40
 
3.4%
9 38
 
3.2%
8 38
 
3.2%
5 33
 
2.8%
_ 32
 
2.7%
Other values (6) 101
 
8.6%
Hangul
ValueCountFrequency (%)
산 244
 
11.5%
예 218
 
10.3%
청 153
 
7.2%
충 148
 
7.0%
도 144
 
6.8%
군 142
 
6.7%
남 139
 
6.6%
로 112
 
5.3%
읍 84
 
4.0%
면 55
 
2.6%
Other values (131) 683
32.2%

전화번호
Text

Distinct129
Distinct (%)92.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-03-13T20:47:30.155653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length12.208633
Min length11

Characters and Unicode

Total characters1697
Distinct characters14
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique124 ?
Unique (%)89.2%

Sample

1st row041-337-0204
2nd row041-331-0092
3rd row041-332-0017
4th row041-331-0213
5th row041-337-3839
ValueCountFrequency (%)
010 7
 
5.0%
041-337-5959 2
 
1.4%
041-338-6405 2
 
1.4%
041-584-8891 2
 
1.4%
041-330-6214 2
 
1.4%
041-332-1560 1
 
0.7%
050-1367-5993 1
 
0.7%
041-584-8894 1
 
0.7%
041-339-3428 1
 
0.7%
041-333-2626 1
 
0.7%
Other values (121) 121
85.8%
2024-03-13T20:47:30.598936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 313
18.4%
- 274
16.1%
0 251
14.8%
1 215
12.7%
4 201
11.8%
2 84
 
4.9%
8 65
 
3.8%
5 62
 
3.7%
7 57
 
3.4%
* 56
 
3.3%
Other values (4) 119
 
7.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1350
79.6%
Dash Punctuation 274
 
16.1%
Other Punctuation 57
 
3.4%
Space Separator 16
 
0.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 313
23.2%
0 251
18.6%
1 215
15.9%
4 201
14.9%
2 84
 
6.2%
8 65
 
4.8%
5 62
 
4.6%
7 57
 
4.2%
9 55
 
4.1%
6 47
 
3.5%
Other Punctuation
ValueCountFrequency (%)
* 56
98.2%
. 1
 
1.8%
Dash Punctuation
ValueCountFrequency (%)
- 274
100.0%
Space Separator
ValueCountFrequency (%)
16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1697
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 313
18.4%
- 274
16.1%
0 251
14.8%
1 215
12.7%
4 201
11.8%
2 84
 
4.9%
8 65
 
3.8%
5 62
 
3.7%
7 57
 
3.4%
* 56
 
3.3%
Other values (4) 119
 
7.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1697
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 313
18.4%
- 274
16.1%
0 251
14.8%
1 215
12.7%
4 201
11.8%
2 84
 
4.9%
8 65
 
3.8%
5 62
 
3.7%
7 57
 
3.4%
* 56
 
3.3%
Other values (4) 119
 
7.0%

사업장구분
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
일반음식점
82 
집단급식소
52 
기타
 
3
농수산물시장
 
1
관광숙박시설
 
1

Length

Max length6
Median length5
Mean length4.9496403
Min length2

Unique

Unique2 ?
Unique (%)1.4%

Sample

1st row집단급식소
2nd row일반음식점
3rd row일반음식점
4th row집단급식소
5th row일반음식점

Common Values

ValueCountFrequency (%)
일반음식점 82
59.0%
집단급식소 52
37.4%
기타 3
 
2.2%
농수산물시장 1
 
0.7%
관광숙박시설 1
 
0.7%

Length

2024-03-13T20:47:30.772524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:47:30.962235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반음식점 82
59.0%
집단급식소 52
37.4%
기타 3
 
2.2%
농수산물시장 1
 
0.7%
관광숙박시설 1
 
0.7%

사업장규모
Real number (ℝ)

HIGH CORRELATION 

Distinct108
Distinct (%)77.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean482.19676
Minimum10
Maximum20000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-03-13T20:47:31.132072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile100
Q1214.47
median262.44
Q3360.75
95-th percentile829.316
Maximum20000
Range19990
Interquartile range (IQR)146.28

Descriptive statistics

Standard deviation1693.7552
Coefficient of variation (CV)3.5125811
Kurtosis130.40336
Mean482.19676
Median Absolute Deviation (MAD)65.51
Skewness11.263735
Sum67025.35
Variance2868806.8
MonotonicityNot monotonic
2024-03-13T20:47:31.312402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.0 9
 
6.5%
200.0 8
 
5.8%
350.0 5
 
3.6%
130.0 3
 
2.2%
500.0 3
 
2.2%
450.0 3
 
2.2%
150.0 2
 
1.4%
210.0 2
 
1.4%
250.0 2
 
1.4%
264.0 2
 
1.4%
Other values (98) 100
71.9%
ValueCountFrequency (%)
10.0 1
 
0.7%
100.0 9
6.5%
105.0 1
 
0.7%
126.0 1
 
0.7%
130.0 3
 
2.2%
135.0 1
 
0.7%
140.0 1
 
0.7%
141.0 1
 
0.7%
150.0 2
 
1.4%
158.0 1
 
0.7%
ValueCountFrequency (%)
20000.0 1
0.7%
2402.0 1
0.7%
1918.0 1
0.7%
1200.0 1
0.7%
1107.5 1
0.7%
1100.0 1
0.7%
956.0 1
0.7%
815.24 1
0.7%
790.0 1
0.7%
750.0 1
0.7%

월배출예상량(Kg)
Real number (ℝ)

HIGH CORRELATION 

Distinct63
Distinct (%)45.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1329.2914
Minimum10
Maximum12410
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-03-13T20:47:31.488242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile78
Q1300
median780
Q31750
95-th percentile4500
Maximum12410
Range12400
Interquartile range (IQR)1450

Descriptive statistics

Standard deviation1624.6324
Coefficient of variation (CV)1.2221793
Kurtosis15.542952
Mean1329.2914
Median Absolute Deviation (MAD)595
Skewness3.1213827
Sum184771.5
Variance2639430.5
MonotonicityNot monotonic
2024-03-13T20:47:31.668500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
600.0 12
 
8.6%
3000.0 11
 
7.9%
1000.0 8
 
5.8%
300.0 8
 
5.8%
1500.0 7
 
5.0%
500.0 6
 
4.3%
900.0 5
 
3.6%
2000.0 5
 
3.6%
700.0 4
 
2.9%
180.0 4
 
2.9%
Other values (53) 69
49.6%
ValueCountFrequency (%)
10.0 1
 
0.7%
20.0 1
 
0.7%
30.0 1
 
0.7%
50.0 1
 
0.7%
60.0 3
2.2%
80.0 2
1.4%
100.0 2
1.4%
104.0 1
 
0.7%
110.0 1
 
0.7%
130.0 1
 
0.7%
ValueCountFrequency (%)
12410.0 1
 
0.7%
6000.0 2
 
1.4%
5400.0 1
 
0.7%
5000.0 1
 
0.7%
4600.0 1
 
0.7%
4500.0 2
 
1.4%
4000.0 2
 
1.4%
3900.0 1
 
0.7%
3000.0 11
7.9%
2700.0 2
 
1.4%

년배출예상량(Kg)
Real number (ℝ)

HIGH CORRELATION 

Distinct63
Distinct (%)45.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15951.496
Minimum120
Maximum148920
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-03-13T20:47:31.844522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum120
5-th percentile936
Q13600
median9360
Q321000
95-th percentile54000
Maximum148920
Range148800
Interquartile range (IQR)17400

Descriptive statistics

Standard deviation19495.589
Coefficient of variation (CV)1.2221793
Kurtosis15.542952
Mean15951.496
Median Absolute Deviation (MAD)7140
Skewness3.1213827
Sum2217258
Variance3.8007799 × 108
MonotonicityNot monotonic
2024-03-13T20:47:32.001796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7200 12
 
8.6%
36000 11
 
7.9%
12000 8
 
5.8%
3600 8
 
5.8%
18000 7
 
5.0%
6000 6
 
4.3%
10800 5
 
3.6%
24000 5
 
3.6%
8400 4
 
2.9%
2160 4
 
2.9%
Other values (53) 69
49.6%
ValueCountFrequency (%)
120 1
 
0.7%
240 1
 
0.7%
360 1
 
0.7%
600 1
 
0.7%
720 3
2.2%
960 2
1.4%
1200 2
1.4%
1248 1
 
0.7%
1320 1
 
0.7%
1560 1
 
0.7%
ValueCountFrequency (%)
148920 1
 
0.7%
72000 2
 
1.4%
64800 1
 
0.7%
60000 1
 
0.7%
55200 1
 
0.7%
54000 2
 
1.4%
48000 2
 
1.4%
46800 1
 
0.7%
36000 11
7.9%
32400 2
 
1.4%

처리방법구분
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
위탁재활용
139 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
위탁재활용 139
100.0%

Length

2024-03-13T20:47:32.186426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:47:32.303883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
위탁재활용 139
100.0%

위탁업소명
Categorical

Distinct10
Distinct (%)7.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
㈜세움환경
69 
(주)두비원
29 
(주)청호환경
15 
개인농가
10 
(주)리코
 
5
Other values (5)
11 

Length

Max length12
Median length5
Mean length5.647482
Min length4

Unique

Unique2 ?
Unique (%)1.4%

Sample

1st row㈜세움환경
2nd row㈜세움환경
3rd row(주)청호환경
4th row태한산업
5th row(주)청호환경

Common Values

ValueCountFrequency (%)
㈜세움환경 69
49.6%
(주)두비원 29
20.9%
(주)청호환경 15
 
10.8%
개인농가 10
 
7.2%
(주)리코 5
 
3.6%
(주)정성환경 4
 
2.9%
(주)두비원대생리클린㈜ 3
 
2.2%
대생리클린㈜㈜두비원 2
 
1.4%
태한산업 1
 
0.7%
대생리클린(주) 1
 
0.7%

Length

2024-03-13T20:47:32.405873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:47:32.543979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
㈜세움환경 69
49.6%
주)두비원 29
20.9%
주)청호환경 15
 
10.8%
개인농가 10
 
7.2%
주)리코 5
 
3.6%
주)정성환경 4
 
2.9%
주)두비원대생리클린㈜ 3
 
2.2%
대생리클린㈜㈜두비원 2
 
1.4%
태한산업 1
 
0.7%
대생리클린(주 1
 
0.7%

Interactions

2024-03-13T20:47:27.072335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:47:26.273050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:47:26.726281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:47:27.184305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:47:26.430794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:47:26.831841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:47:27.313872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:47:26.566497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:47:26.956946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-13T20:47:32.650710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업장구분사업장규모월배출예상량(Kg)년배출예상량(Kg)위탁업소명
사업장구분1.0000.6040.1150.1150.000
사업장규모0.6041.0000.0000.0000.000
월배출예상량(Kg)0.1150.0001.0001.0000.000
년배출예상량(Kg)0.1150.0001.0001.0000.000
위탁업소명0.0000.0000.0000.0001.000
2024-03-13T20:47:32.750144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업장구분위탁업소명
사업장구분1.0000.000
위탁업소명0.0001.000
2024-03-13T20:47:32.840590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업장규모월배출예상량(Kg)년배출예상량(Kg)사업장구분위탁업소명
사업장규모1.0000.2650.2650.5530.000
월배출예상량(Kg)0.2651.0001.0000.0760.000
년배출예상량(Kg)0.2651.0001.0000.0760.000
사업장구분0.5530.0760.0761.0000.000
위탁업소명0.0000.0000.0000.0001.000

Missing values

2024-03-13T20:47:27.566791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T20:47:27.763464image/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

상호명소재지도로명주소전화번호사업장구분사업장규모월배출예상량(Kg)년배출예상량(Kg)처리방법구분위탁업소명
0덕산초등학교충청남도 예산군 덕산면 봉운로 38041-337-0204집단급식소315.0170.02040위탁재활용㈜세움환경
1광시길한우타운식당충청남도 예산군 광시면 예당로 156041-331-0092일반음식점330.881000.012000위탁재활용㈜세움환경
2한백당한식뷔페충청남도 예산군 오가면 충서로 381041-332-0017일반음식점300.0500.06000위탁재활용(주)청호환경
3(주)고려비엔피충청남도 예산군 신암면 추사로 235-9041-331-0213집단급식소105.080.0960위탁재활용태한산업
4장춘한식충청남도 예산군 삽교읍 수암산로 253041-337-3839일반음식점281.94500.06000위탁재활용(주)청호환경
5예산명지병원충청남도 예산군 예산읍 신례원로 26_ 예산명지병원041-334-6033집단급식소450.060.0720위탁재활용㈜세움환경
6청수가든충청남도 예산군 고덕면 고덕중앙로 45-9041-337-3682일반음식점225.5100.01200위탁재활용개인농가
7대장금충청남도 예산군 덕산면 온천단지3로 40041-337-7971일반음식점318.651200.014400위탁재활용㈜세움환경
8옛날한식뷔페충청남도 예산군 예산읍 충서로 1170041-334-0181일반음식점247.5260.03120위탁재활용개인농가
9예산중학교충청남도 예산군 예산읍 예중길 40041-331-2891집단급식소956.02000.024000위탁재활용(주)두비원
상호명소재지도로명주소전화번호사업장구분사업장규모월배출예상량(Kg)년배출예상량(Kg)처리방법구분위탁업소명
129원조설악추어탕충청남도 예산군 예산읍 벚꽃로 211041-334-1817일반음식점210.01000.012000위탁재활용㈜세움환경
130마중충청남도 예산군 예산읍 역전로140번길 32041-331-1998일반음식점100.01000.012000위탁재활용㈜세움환경
131예산냉면갈비충청남도 예산군 예산읍 산성공원2길 19041-335-9941일반음식점100.01000.012000위탁재활용(주)두비원
132지돈가충청남도 예산군 예산읍 주안길 34041-334-9003일반음식점100.02000.024000위탁재활용㈜세움환경
133양지한우타운충청남도 예산군 광시면 광시소길 11041-333-1202일반음식점331.62000.024000위탁재활용㈜세움환경
134더센트럴웨딩충청남도 예산군 예산읍 예산로 320 (더센트럴웨딩홀)041-331-3000기타300.03900.046800위탁재활용㈜세움환경
135한정식예산충청남도 예산군 예산읍 산성공원1길 24041-334-1331일반음식점250.0530.06360위탁재활용㈜세움환경
136더스타웨딩컨벤션충청남도 예산군 예산읍 벚꽃로155번길 52-11041-334-3331기타20000.0600.07200위탁재활용(주)청호환경
137(주)유진엠-동양플랜트예산컴플랙스점충청남도 예산군 고덕면 호음덕령길 60041-339-2012집단급식소130.0190.02280위탁재활용(주)두비원
138그린플러스충청남도 예산군 응봉면 응봉로 50-42041-332-6421집단급식소200.080.0960위탁재활용(주)청호환경