Overview

Dataset statistics

Number of variables9
Number of observations23
Missing cells24
Missing cells (%)11.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.8 KiB
Average record size in memory80.7 B

Variable types

Numeric3
Text4
Categorical2

Dataset

Description이 데이터는 충청남도 금산군의 음식물쓰레기 다량배출사업장현황(상호명, 연락처, 소재지, 월배출량, 일배출량, 처리방법) 에 대한 데이터를 제공합니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=394&beforeMenuCd=DOM_000000201001001000&publicdatapk=15042950

Alerts

데이터 기준일자 has constant value ""Constant
월배출량(kg) is highly overall correlated with 일배출량(kg)High correlation
일배출량(kg) is highly overall correlated with 월배출량(kg)High correlation
처리방법 is highly imbalanced (74.2%)Imbalance
연락처 has 1 (4.3%) missing valuesMissing
소재지 도로명주소 has 4 (17.4%) missing valuesMissing
소재지 지번주소 has 19 (82.6%) missing valuesMissing
연번 has unique valuesUnique
상호명 has unique valuesUnique
월배출량(kg) has unique valuesUnique
일배출량(kg) has unique valuesUnique

Reproduction

Analysis started2024-01-09 21:19:57.968423
Analysis finished2024-01-09 21:19:59.074447
Duration1.11 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12
Minimum1
Maximum23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2024-01-10T06:19:59.120335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.1
Q16.5
median12
Q317.5
95-th percentile21.9
Maximum23
Range22
Interquartile range (IQR)11

Descriptive statistics

Standard deviation6.78233
Coefficient of variation (CV)0.56519417
Kurtosis-1.2
Mean12
Median Absolute Deviation (MAD)6
Skewness0
Sum276
Variance46
MonotonicityStrictly increasing
2024-01-10T06:19:59.213936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
1 1
 
4.3%
2 1
 
4.3%
23 1
 
4.3%
22 1
 
4.3%
21 1
 
4.3%
20 1
 
4.3%
19 1
 
4.3%
18 1
 
4.3%
17 1
 
4.3%
16 1
 
4.3%
Other values (13) 13
56.5%
ValueCountFrequency (%)
1 1
4.3%
2 1
4.3%
3 1
4.3%
4 1
4.3%
5 1
4.3%
6 1
4.3%
7 1
4.3%
8 1
4.3%
9 1
4.3%
10 1
4.3%
ValueCountFrequency (%)
23 1
4.3%
22 1
4.3%
21 1
4.3%
20 1
4.3%
19 1
4.3%
18 1
4.3%
17 1
4.3%
16 1
4.3%
15 1
4.3%
14 1
4.3%

상호명
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2024-01-10T06:19:59.365694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length6.8695652
Min length3

Characters and Unicode

Total characters158
Distinct characters75
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

Unique23 ?
Unique (%)100.0%

Sample

1st row금산초등학교
2nd row중앙초등학교
3rd row금산동초등학교
4th row남경가든
5th row추부초등학교
ValueCountFrequency (%)
금산초등학교 1
 
4.3%
금산산업고등학교 1
 
4.3%
갤러리한우 1
 
4.3%
명륜진사갈비(금산점 1
 
4.3%
금산원조김정시삼계탕 1
 
4.3%
이본가 1
 
4.3%
주)세종푸드캠프 1
 
4.3%
금산동백장례식장 1
 
4.3%
오성짜장 1
 
4.3%
사사청소년문화원 1
 
4.3%
Other values (13) 13
56.5%
2024-01-10T06:19:59.654690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
산 13
 
8.2%
금 12
 
7.6%
학 11
 
7.0%
교 11
 
7.0%
등 8
 
5.1%
초 4
 
2.5%
중 4
 
2.5%
고 4
 
2.5%
이 3
 
1.9%
동 3
 
1.9%
Other values (65) 85
53.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 152
96.2%
Open Punctuation 2
 
1.3%
Close Punctuation 2
 
1.3%
Space Separator 1
 
0.6%
Other Symbol 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 13
 
8.6%
금 12
 
7.9%
학 11
 
7.2%
교 11
 
7.2%
등 8
 
5.3%
초 4
 
2.6%
중 4
 
2.6%
고 4
 
2.6%
이 3
 
2.0%
동 3
 
2.0%
Other values (61) 79
52.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 153
96.8%
Common 5
 
3.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 13
 
8.5%
금 12
 
7.8%
학 11
 
7.2%
교 11
 
7.2%
등 8
 
5.2%
초 4
 
2.6%
중 4
 
2.6%
고 4
 
2.6%
이 3
 
2.0%
동 3
 
2.0%
Other values (62) 80
52.3%
Common
ValueCountFrequency (%)
( 2
40.0%
) 2
40.0%
1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 152
96.2%
ASCII 5
 
3.2%
None 1
 
0.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
산 13
 
8.6%
금 12
 
7.9%
학 11
 
7.2%
교 11
 
7.2%
등 8
 
5.3%
초 4
 
2.6%
중 4
 
2.6%
고 4
 
2.6%
이 3
 
2.0%
동 3
 
2.0%
Other values (61) 79
52.0%
ASCII
ValueCountFrequency (%)
( 2
40.0%
) 2
40.0%
1
20.0%
None
ValueCountFrequency (%)
㈜ 1
100.0%

연락처
Text

MISSING 

Distinct22
Distinct (%)100.0%
Missing1
Missing (%)4.3%
Memory size316.0 B
2024-01-10T06:19:59.813233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.045455
Min length12

Characters and Unicode

Total characters265
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

Unique22 ?
Unique (%)100.0%

Sample

1st row041-753-6231
2nd row041-753-6334
3rd row041-753-6135
4th row041-754-1133
5th row041-753-7908
ValueCountFrequency (%)
041-753-6231 1
 
4.5%
041-753-6334 1
 
4.5%
010-5121-2928 1
 
4.5%
041-752-2678 1
 
4.5%
041-752-9255 1
 
4.5%
042-255-0706 1
 
4.5%
041-751-4444 1
 
4.5%
041-754-0089 1
 
4.5%
041-751-4491 1
 
4.5%
041-753-7152 1
 
4.5%
Other values (12) 12
54.5%
2024-01-10T06:20:00.067876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 44
16.6%
0 36
13.6%
1 36
13.6%
4 33
12.5%
7 30
11.3%
5 28
10.6%
3 19
7.2%
2 15
 
5.7%
6 10
 
3.8%
9 8
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 221
83.4%
Dash Punctuation 44
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 36
16.3%
1 36
16.3%
4 33
14.9%
7 30
13.6%
5 28
12.7%
3 19
8.6%
2 15
6.8%
6 10
 
4.5%
9 8
 
3.6%
8 6
 
2.7%
Dash Punctuation
ValueCountFrequency (%)
- 44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 265
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 44
16.6%
0 36
13.6%
1 36
13.6%
4 33
12.5%
7 30
11.3%
5 28
10.6%
3 19
7.2%
2 15
 
5.7%
6 10
 
3.8%
9 8
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 265
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 44
16.6%
0 36
13.6%
1 36
13.6%
4 33
12.5%
7 30
11.3%
5 28
10.6%
3 19
7.2%
2 15
 
5.7%
6 10
 
3.8%
9 8
 
3.0%

소재지 도로명주소
Text

MISSING 

Distinct19
Distinct (%)100.0%
Missing4
Missing (%)17.4%
Memory size316.0 B
2024-01-10T06:20:00.228925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length21
Mean length20.052632
Min length17

Characters and Unicode

Total characters381
Distinct characters63
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

Unique19 ?
Unique (%)100.0%

Sample

1st row충청남도 금산군 금산읍 인삼로 69
2nd row충청남도 금산군 금산읍 금산로 1427
3rd row충청남도 금산군 금산읍 후곤천길 145
4th row충청남도 금산군 추부면 하마전로 23
5th row충청남도 금산군 진산면 대둔산로 412
ValueCountFrequency (%)
금산군 19
19.8%
충청남도 16
16.7%
금산읍 12
 
12.5%
비단로 3
 
3.1%
인삼로 3
 
3.1%
21 3
 
3.1%
충남 3
 
3.1%
남일면 2
 
2.1%
추부면 2
 
2.1%
진산면 2
 
2.1%
Other values (31) 31
32.3%
2024-01-10T06:20:00.483818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
77
20.2%
산 35
 
9.2%
금 32
 
8.4%
남 21
 
5.5%
군 20
 
5.2%
충 19
 
5.0%
도 16
 
4.2%
청 16
 
4.2%
1 13
 
3.4%
읍 12
 
3.1%
Other values (53) 120
31.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 254
66.7%
Space Separator 77
 
20.2%
Decimal Number 48
 
12.6%
Open Punctuation 1
 
0.3%
Close Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 35
13.8%
금 32
12.6%
남 21
 
8.3%
군 20
 
7.9%
충 19
 
7.5%
도 16
 
6.3%
청 16
 
6.3%
읍 12
 
4.7%
로 11
 
4.3%
길 7
 
2.8%
Other values (40) 65
25.6%
Decimal Number
ValueCountFrequency (%)
1 13
27.1%
2 9
18.8%
3 8
16.7%
5 4
 
8.3%
0 3
 
6.2%
7 3
 
6.2%
4 3
 
6.2%
8 2
 
4.2%
6 2
 
4.2%
9 1
 
2.1%
Space Separator
ValueCountFrequency (%)
77
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 254
66.7%
Common 127
33.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 35
13.8%
금 32
12.6%
남 21
 
8.3%
군 20
 
7.9%
충 19
 
7.5%
도 16
 
6.3%
청 16
 
6.3%
읍 12
 
4.7%
로 11
 
4.3%
길 7
 
2.8%
Other values (40) 65
25.6%
Common
ValueCountFrequency (%)
77
60.6%
1 13
 
10.2%
2 9
 
7.1%
3 8
 
6.3%
5 4
 
3.1%
0 3
 
2.4%
7 3
 
2.4%
4 3
 
2.4%
8 2
 
1.6%
6 2
 
1.6%
Other values (3) 3
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 254
66.7%
ASCII 127
33.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
77
60.6%
1 13
 
10.2%
2 9
 
7.1%
3 8
 
6.3%
5 4
 
3.1%
0 3
 
2.4%
7 3
 
2.4%
4 3
 
2.4%
8 2
 
1.6%
6 2
 
1.6%
Other values (3) 3
 
2.4%
Hangul
ValueCountFrequency (%)
산 35
13.8%
금 32
12.6%
남 21
 
8.3%
군 20
 
7.9%
충 19
 
7.5%
도 16
 
6.3%
청 16
 
6.3%
읍 12
 
4.7%
로 11
 
4.3%
길 7
 
2.8%
Other values (40) 65
25.6%

소재지 지번주소
Text

MISSING 

Distinct4
Distinct (%)100.0%
Missing19
Missing (%)82.6%
Memory size316.0 B
2024-01-10T06:20:00.615396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length24.5
Mean length22.75
Min length21

Characters and Unicode

Total characters91
Distinct characters27
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

Unique4 ?
Unique (%)100.0%

Sample

1st row충청남도 금산군 금산읍 상옥리 8-2번지
2nd row충청남도 금산군 추부면 신평리 1004-1번지
3rd row충청남도 금산군 금산읍 상리 340-3
4th row충청남도 금산군 금산읍 중도리 34-1
ValueCountFrequency (%)
충청남도 4
20.0%
금산군 4
20.0%
금산읍 3
15.0%
상옥리 1
 
5.0%
8-2번지 1
 
5.0%
추부면 1
 
5.0%
신평리 1
 
5.0%
1004-1번지 1
 
5.0%
상리 1
 
5.0%
340-3 1
 
5.0%
Other values (2) 2
10.0%
2024-01-10T06:20:00.840889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
18
19.8%
금 7
 
7.7%
산 7
 
7.7%
도 5
 
5.5%
충 4
 
4.4%
리 4
 
4.4%
청 4
 
4.4%
- 4
 
4.4%
군 4
 
4.4%
남 4
 
4.4%
Other values (17) 30
33.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 55
60.4%
Space Separator 18
 
19.8%
Decimal Number 14
 
15.4%
Dash Punctuation 4
 
4.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
금 7
12.7%
산 7
12.7%
도 5
9.1%
충 4
 
7.3%
리 4
 
7.3%
청 4
 
7.3%
군 4
 
7.3%
남 4
 
7.3%
읍 3
 
5.5%
번 2
 
3.6%
Other values (9) 11
20.0%
Decimal Number
ValueCountFrequency (%)
3 3
21.4%
4 3
21.4%
0 3
21.4%
1 3
21.4%
2 1
 
7.1%
8 1
 
7.1%
Space Separator
ValueCountFrequency (%)
18
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 55
60.4%
Common 36
39.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
금 7
12.7%
산 7
12.7%
도 5
9.1%
충 4
 
7.3%
리 4
 
7.3%
청 4
 
7.3%
군 4
 
7.3%
남 4
 
7.3%
읍 3
 
5.5%
번 2
 
3.6%
Other values (9) 11
20.0%
Common
ValueCountFrequency (%)
18
50.0%
- 4
 
11.1%
3 3
 
8.3%
4 3
 
8.3%
0 3
 
8.3%
1 3
 
8.3%
2 1
 
2.8%
8 1
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 55
60.4%
ASCII 36
39.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
18
50.0%
- 4
 
11.1%
3 3
 
8.3%
4 3
 
8.3%
0 3
 
8.3%
1 3
 
8.3%
2 1
 
2.8%
8 1
 
2.8%
Hangul
ValueCountFrequency (%)
금 7
12.7%
산 7
12.7%
도 5
9.1%
충 4
 
7.3%
리 4
 
7.3%
청 4
 
7.3%
군 4
 
7.3%
남 4
 
7.3%
읍 3
 
5.5%
번 2
 
3.6%
Other values (9) 11
20.0%

월배출량(kg)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1069.4826
Minimum195
Maximum2591.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2024-01-10T06:20:00.935606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum195
5-th percentile411.29
Q1615
median985
Q31487.05
95-th percentile2018.58
Maximum2591.6
Range2396.6
Interquartile range (IQR)872.05

Descriptive statistics

Standard deviation598.19862
Coefficient of variation (CV)0.55933459
Kurtosis0.42036878
Mean1069.4826
Median Absolute Deviation (MAD)525
Skewness0.79288078
Sum24598.1
Variance357841.59
MonotonicityNot monotonic
2024-01-10T06:20:01.030908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
1558.7 1
 
4.3%
930.0 1
 
4.3%
985.0 1
 
4.3%
1033.0 1
 
4.3%
451.6 1
 
4.3%
410.0 1
 
4.3%
1893.3 1
 
4.3%
2591.6 1
 
4.3%
1026.6 1
 
4.3%
195.0 1
 
4.3%
Other values (13) 13
56.5%
ValueCountFrequency (%)
195.0 1
4.3%
410.0 1
4.3%
422.9 1
4.3%
438.3 1
4.3%
451.6 1
4.3%
460.0 1
4.3%
770.0 1
4.3%
794.1 1
4.3%
848.3 1
4.3%
907.5 1
4.3%
ValueCountFrequency (%)
2591.6 1
4.3%
2032.5 1
4.3%
1893.3 1
4.3%
1622.0 1
4.3%
1558.7 1
4.3%
1524.1 1
4.3%
1450.0 1
4.3%
1186.6 1
4.3%
1067.0 1
4.3%
1033.0 1
4.3%

일배출량(kg)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.047826
Minimum6.4
Maximum85.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2024-01-10T06:20:01.120532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6.4
5-th percentile13.31
Q120.05
median32.3
Q348.85
95-th percentile66.34
Maximum85.2
Range78.8
Interquartile range (IQR)28.8

Descriptive statistics

Standard deviation19.755226
Coefficient of variation (CV)0.56366482
Kurtosis0.39767695
Mean35.047826
Median Absolute Deviation (MAD)17.5
Skewness0.78218382
Sum806.1
Variance390.26897
MonotonicityNot monotonic
2024-01-10T06:20:01.215415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
51.2 1
 
4.3%
30.6 1
 
4.3%
32.3 1
 
4.3%
33.9 1
 
4.3%
14.8 1
 
4.3%
13.4 1
 
4.3%
62.2 1
 
4.3%
85.2 1
 
4.3%
33.7 1
 
4.3%
6.4 1
 
4.3%
Other values (13) 13
56.5%
ValueCountFrequency (%)
6.4 1
4.3%
13.3 1
4.3%
13.4 1
4.3%
13.9 1
4.3%
14.4 1
4.3%
14.8 1
4.3%
25.3 1
4.3%
26.1 1
4.3%
27.8 1
4.3%
29.8 1
4.3%
ValueCountFrequency (%)
85.2 1
4.3%
66.8 1
4.3%
62.2 1
4.3%
53.3 1
4.3%
51.2 1
4.3%
50.1 1
4.3%
47.6 1
4.3%
39.0 1
4.3%
35.0 1
4.3%
33.9 1
4.3%

처리방법
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
위탁 재활용
22 
위탁재활용
 
1

Length

Max length6
Median length6
Mean length5.9565217
Min length5

Unique

Unique1 ?
Unique (%)4.3%

Sample

1st row위탁 재활용
2nd row위탁 재활용
3rd row위탁 재활용
4th row위탁 재활용
5th row위탁 재활용

Common Values

ValueCountFrequency (%)
위탁 재활용 22
95.7%
위탁재활용 1
 
4.3%

Length

2024-01-10T06:20:01.345983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:20:01.436824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
위탁 22
48.9%
재활용 22
48.9%
위탁재활용 1
 
2.2%

데이터 기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
2022-02-08
23 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-02-08
2nd row2022-02-08
3rd row2022-02-08
4th row2022-02-08
5th row2022-02-08

Common Values

ValueCountFrequency (%)
2022-02-08 23
100.0%

Length

2024-01-10T06:20:01.529696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:20:01.627685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-02-08 23
100.0%

Interactions

2024-01-10T06:19:58.625117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:19:58.264821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:19:58.446118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:19:58.686640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:19:58.320800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:19:58.504462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:19:58.747658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:19:58.381599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:19:58.558877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T06:20:01.687063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번상호명연락처소재지 도로명주소소재지 지번주소월배출량(kg)일배출량(kg)처리방법
연번1.0001.0001.0001.0001.0000.0000.0000.000
상호명1.0001.0001.0001.0001.0001.0001.0001.000
연락처1.0001.0001.0001.0001.0001.0001.000NaN
소재지 도로명주소1.0001.0001.0001.000NaN1.0001.0001.000
소재지 지번주소1.0001.0001.000NaN1.0001.0001.000NaN
월배출량(kg)0.0001.0001.0001.0001.0001.0000.9990.000
일배출량(kg)0.0001.0001.0001.0001.0000.9991.0000.000
처리방법0.0001.000NaN1.000NaN0.0000.0001.000
2024-01-10T06:20:01.794216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번월배출량(kg)일배출량(kg)처리방법
연번1.0000.0020.0440.000
월배출량(kg)0.0021.0000.9900.000
일배출량(kg)0.0440.9901.0000.000
처리방법0.0000.0000.0001.000

Missing values

2024-01-10T06:19:58.840539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T06:19:58.949547image/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.
2024-01-10T06:19:59.032323image/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

연번상호명연락처소재지 도로명주소소재지 지번주소월배출량(kg)일배출량(kg)처리방법데이터 기준일자
01금산초등학교041-753-6231충청남도 금산군 금산읍 인삼로 69<NA>1558.751.2위탁 재활용2022-02-08
12중앙초등학교041-753-6334충청남도 금산군 금산읍 금산로 1427<NA>930.030.6위탁 재활용2022-02-08
23금산동초등학교041-753-6135충청남도 금산군 금산읍 후곤천길 145<NA>422.913.9위탁 재활용2022-02-08
34남경가든041-754-1133<NA>충청남도 금산군 금산읍 상옥리 8-2번지460.013.3위탁 재활용2022-02-08
45추부초등학교041-753-7908충청남도 금산군 추부면 하마전로 23<NA>848.327.8위탁 재활용2022-02-08
56금산하이텍고등학교041-752-4376충청남도 금산군 진산면 대둔산로 412<NA>907.529.8위탁 재활용2022-02-08
67금산동중학교041-753-7106충청남도 금산군 금산읍 용머리길 25<NA>1186.639.0위탁 재활용2022-02-08
78인삼한우프라자041-752-9299충청남도 금산군 금산읍 비단로 378<NA>1450.047.6위탁 재활용2022-02-08
89금산여자중학교041-753-6147충청남도 금산군 금산읍 인삼로 11<NA>1067.035.0위탁 재활용2022-02-08
910추부중학교041-753-7003충청남도 금산군 추부면 마전2길 21<NA>794.126.1위탁 재활용2022-02-08
연번상호명연락처소재지 도로명주소소재지 지번주소월배출량(kg)일배출량(kg)처리방법데이터 기준일자
1314금산고등학교041-753-7152충청남도 금산군 금산읍 탑선길 5<NA>1622.053.3위탁 재활용2022-02-08
1415사사청소년문화원041-751-4491충청남도 금산군 남일면 사사길 21<NA>438.314.4위탁 재활용2022-02-08
1516오성짜장041-754-0089충청남도 금산군 금산읍 사직중앙로 35<NA>195.06.4위탁 재활용2022-02-08
1617금산동백장례식장041-751-4444충청남도 금산군 군북면 은골길 20 (동백장례식장)<NA>1026.633.7위탁 재활용2022-02-08
1718(주)세종푸드캠프042-255-0706<NA>충청남도 금산군 추부면 신평리 1004-1번지2591.685.2위탁 재활용2022-02-08
1819이본가041-752-9255<NA>충청남도 금산군 금산읍 상리 340-31893.362.2위탁 재활용2022-02-08
1920금산원조김정시삼계탕041-752-2678<NA>충청남도 금산군 금산읍 중도리 34-1410.013.4위탁 재활용2022-02-08
2021명륜진사갈비(금산점)010-5121-2928충남 금산군 금산읍 비단로 331<NA>451.614.8위탁 재활용2022-02-08
2122갤러리한우041-751-8877충남 금산군 남일면 황풍리 13<NA>1033.033.9위탁 재활용2022-02-08
2223㈜제이에스푸드<NA>충남 금산군 진산면 살구정길 167<NA>985.032.3위탁재활용2022-02-08