Overview

Dataset statistics

Number of variables9
Number of observations37
Missing cells3
Missing cells (%)0.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.8 KiB
Average record size in memory78.5 B

Variable types

Numeric3
Text4
Categorical2

Dataset

Description이 데이터는 충청남도 금산군의 음식물쓰레기 다량배출사업장현황(상호명, 연락처, 소재지, 월배출량, 일배출량, 처리방법) 에 대한 데이터를 제공합니다.
Author충청남도 금산군
URLhttps://www.data.go.kr/data/15042950/fileData.do

Alerts

데이터 기준일자 has constant value ""Constant
연번 is highly overall correlated with 처리방법High correlation
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 overall correlated with 연번High correlation
연락처 has 2 (5.4%) missing valuesMissing
소재지 도로명주소 has 1 (2.7%) missing valuesMissing
연번 has unique valuesUnique
상호명 has unique valuesUnique
월배출량(kg) has unique valuesUnique

Reproduction

Analysis started2024-03-14 12:11:37.163866
Analysis finished2024-03-14 12:11:41.141345
Duration3.98 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct37
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19
Minimum1
Maximum37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size461.0 B
2024-03-14T21:11:41.349338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.8
Q110
median19
Q328
95-th percentile35.2
Maximum37
Range36
Interquartile range (IQR)18

Descriptive statistics

Standard deviation10.824355
Coefficient of variation (CV)0.56970291
Kurtosis-1.2
Mean19
Median Absolute Deviation (MAD)9
Skewness0
Sum703
Variance117.16667
MonotonicityStrictly increasing
2024-03-14T21:11:41.771482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
1 1
 
2.7%
29 1
 
2.7%
22 1
 
2.7%
23 1
 
2.7%
24 1
 
2.7%
25 1
 
2.7%
26 1
 
2.7%
27 1
 
2.7%
28 1
 
2.7%
30 1
 
2.7%
Other values (27) 27
73.0%
ValueCountFrequency (%)
1 1
2.7%
2 1
2.7%
3 1
2.7%
4 1
2.7%
5 1
2.7%
6 1
2.7%
7 1
2.7%
8 1
2.7%
9 1
2.7%
10 1
2.7%
ValueCountFrequency (%)
37 1
2.7%
36 1
2.7%
35 1
2.7%
34 1
2.7%
33 1
2.7%
32 1
2.7%
31 1
2.7%
30 1
2.7%
29 1
2.7%
28 1
2.7%

상호명
Text

UNIQUE 

Distinct37
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size424.0 B
2024-03-14T21:11:42.682843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length17
Mean length8.3513514
Min length2

Characters and Unicode

Total characters309
Distinct characters128
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

Unique37 ?
Unique (%)100.0%

Sample

1st row금산초등학교
2nd row중앙초등학교
3rd row금산동초등학교
4th row남경가든
5th row진산초등학교
ValueCountFrequency (%)
금산초등학교 1
 
2.3%
중앙초등학교 1
 
2.3%
추부중학교 1
 
2.3%
골목추어탕 1
 
2.3%
의료법인예은의료재단 1
 
2.3%
편안요양병원 1
 
2.3%
백합유치원 1
 
2.3%
새금산병원 1
 
2.3%
사사청소년문화원 1
 
2.3%
영농조합법인 1
 
2.3%
Other values (34) 34
77.3%
2024-03-14T21:11:43.742829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
산 20
 
6.5%
금 17
 
5.5%
학 12
 
3.9%
교 12
 
3.9%
원 9
 
2.9%
등 9
 
2.9%
7
 
2.3%
장 7
 
2.3%
) 6
 
1.9%
( 6
 
1.9%
Other values (118) 204
66.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 290
93.9%
Space Separator 7
 
2.3%
Close Punctuation 6
 
1.9%
Open Punctuation 6
 
1.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 20
 
6.9%
금 17
 
5.9%
학 12
 
4.1%
교 12
 
4.1%
원 9
 
3.1%
등 9
 
3.1%
장 7
 
2.4%
사 5
 
1.7%
초 5
 
1.7%
양 5
 
1.7%
Other values (115) 189
65.2%
Space Separator
ValueCountFrequency (%)
7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 290
93.9%
Common 19
 
6.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 20
 
6.9%
금 17
 
5.9%
학 12
 
4.1%
교 12
 
4.1%
원 9
 
3.1%
등 9
 
3.1%
장 7
 
2.4%
사 5
 
1.7%
초 5
 
1.7%
양 5
 
1.7%
Other values (115) 189
65.2%
Common
ValueCountFrequency (%)
7
36.8%
) 6
31.6%
( 6
31.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 290
93.9%
ASCII 19
 
6.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
산 20
 
6.9%
금 17
 
5.9%
학 12
 
4.1%
교 12
 
4.1%
원 9
 
3.1%
등 9
 
3.1%
장 7
 
2.4%
사 5
 
1.7%
초 5
 
1.7%
양 5
 
1.7%
Other values (115) 189
65.2%
ASCII
ValueCountFrequency (%)
7
36.8%
) 6
31.6%
( 6
31.6%

연락처
Text

MISSING 

Distinct32
Distinct (%)91.4%
Missing2
Missing (%)5.4%
Memory size424.0 B
2024-03-14T21:11:44.791454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.171429
Min length12

Characters and Unicode

Total characters426
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

Unique29 ?
Unique (%)82.9%

Sample

1st row041-753-6231
2nd row041-753-6334
3rd row041-753-6135
4th row041-754-1133
5th row041-753-7908
ValueCountFrequency (%)
041-751-4444 2
 
5.7%
041-754-0089 2
 
5.7%
041-752-2678 2
 
5.7%
041-752-7621 1
 
2.9%
041-751-8877 1
 
2.9%
041-752-5318 1
 
2.9%
041-751-0014 1
 
2.9%
041-754-8272 1
 
2.9%
041-752-9255 1
 
2.9%
041-753-4493 1
 
2.9%
Other values (22) 22
62.9%
2024-03-14T21:11:46.602289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 70
16.4%
0 59
13.8%
4 57
13.4%
1 57
13.4%
7 49
11.5%
5 47
11.0%
3 28
 
6.6%
2 21
 
4.9%
6 14
 
3.3%
8 12
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 356
83.6%
Dash Punctuation 70
 
16.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 59
16.6%
4 57
16.0%
1 57
16.0%
7 49
13.8%
5 47
13.2%
3 28
7.9%
2 21
 
5.9%
6 14
 
3.9%
8 12
 
3.4%
9 12
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 70
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 426
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 70
16.4%
0 59
13.8%
4 57
13.4%
1 57
13.4%
7 49
11.5%
5 47
11.0%
3 28
 
6.6%
2 21
 
4.9%
6 14
 
3.3%
8 12
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 426
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 70
16.4%
0 59
13.8%
4 57
13.4%
1 57
13.4%
7 49
11.5%
5 47
11.0%
3 28
 
6.6%
2 21
 
4.9%
6 14
 
3.3%
8 12
 
2.8%

소재지 도로명주소
Text

MISSING 

Distinct35
Distinct (%)97.2%
Missing1
Missing (%)2.7%
Memory size424.0 B
2024-03-14T21:11:47.544491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length31
Mean length21.777778
Min length18

Characters and Unicode

Total characters784
Distinct characters103
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

Unique34 ?
Unique (%)94.4%

Sample

1st row충청남도 금산군 금산읍 인삼로 69
2nd row충청남도 금산군 금산읍 금산로 1427
3rd row충청남도 금산군 금산읍 후곤천길 145
4th row충청남도 금산군 진산면 읍내로 41
5th row충청남도 금산군 추부면 하마전로 23
ValueCountFrequency (%)
충청남도 36
19.1%
금산군 36
19.1%
금산읍 19
 
10.1%
추부면 6
 
3.2%
비단로 4
 
2.1%
인삼로 4
 
2.1%
남일면 4
 
2.1%
진산면 3
 
1.6%
21 3
 
1.6%
금산로 3
 
1.6%
Other values (67) 70
37.2%
2024-03-14T21:11:48.932675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
152
19.4%
산 64
 
8.2%
금 60
 
7.7%
남 40
 
5.1%
군 39
 
5.0%
충 36
 
4.6%
청 36
 
4.6%
도 36
 
4.6%
1 27
 
3.4%
로 27
 
3.4%
Other values (93) 267
34.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 515
65.7%
Space Separator 152
 
19.4%
Decimal Number 101
 
12.9%
Open Punctuation 4
 
0.5%
Close Punctuation 4
 
0.5%
Other Punctuation 4
 
0.5%
Dash Punctuation 2
 
0.3%
Uppercase Letter 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 64
12.4%
금 60
11.7%
남 40
 
7.8%
군 39
 
7.6%
충 36
 
7.0%
청 36
 
7.0%
도 36
 
7.0%
로 27
 
5.2%
읍 20
 
3.9%
면 17
 
3.3%
Other values (77) 140
27.2%
Decimal Number
ValueCountFrequency (%)
1 27
26.7%
2 19
18.8%
3 15
14.9%
7 10
 
9.9%
4 7
 
6.9%
8 6
 
5.9%
5 6
 
5.9%
0 5
 
5.0%
6 3
 
3.0%
9 3
 
3.0%
Space Separator
ValueCountFrequency (%)
152
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Uppercase Letter
ValueCountFrequency (%)
C 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 515
65.7%
Common 267
34.1%
Latin 2
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 64
12.4%
금 60
11.7%
남 40
 
7.8%
군 39
 
7.6%
충 36
 
7.0%
청 36
 
7.0%
도 36
 
7.0%
로 27
 
5.2%
읍 20
 
3.9%
면 17
 
3.3%
Other values (77) 140
27.2%
Common
ValueCountFrequency (%)
152
56.9%
1 27
 
10.1%
2 19
 
7.1%
3 15
 
5.6%
7 10
 
3.7%
4 7
 
2.6%
8 6
 
2.2%
5 6
 
2.2%
0 5
 
1.9%
( 4
 
1.5%
Other values (5) 16
 
6.0%
Latin
ValueCountFrequency (%)
C 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 515
65.7%
ASCII 269
34.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
152
56.5%
1 27
 
10.0%
2 19
 
7.1%
3 15
 
5.6%
7 10
 
3.7%
4 7
 
2.6%
8 6
 
2.2%
5 6
 
2.2%
0 5
 
1.9%
( 4
 
1.5%
Other values (6) 18
 
6.7%
Hangul
ValueCountFrequency (%)
산 64
12.4%
금 60
11.7%
남 40
 
7.8%
군 39
 
7.6%
충 36
 
7.0%
청 36
 
7.0%
도 36
 
7.0%
로 27
 
5.2%
읍 20
 
3.9%
면 17
 
3.3%
Other values (77) 140
27.2%

소재지 지번주소
Text

Distinct36
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Memory size424.0 B
2024-03-14T21:11:49.843058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length31
Mean length22.945946
Min length20

Characters and Unicode

Total characters849
Distinct characters70
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique35 ?
Unique (%)94.6%

Sample

1st row충청남도 금산군 금산읍 상리 176-9
2nd row충청남도 금산군 금산읍 상옥리 137-1
3rd row충청남도 금산군 금산읍 중도리 102
4th row충청남도 금산군 금산읍 상옥리 8-2
5th row충청남도 금산군 진산면 읍내리 531
ValueCountFrequency (%)
충청남도 37
19.2%
금산군 37
19.2%
금산읍 20
 
10.4%
아인리 6
 
3.1%
중도리 6
 
3.1%
추부면 6
 
3.1%
남일면 4
 
2.1%
상리 4
 
2.1%
진산면 3
 
1.6%
마전리 3
 
1.6%
Other values (61) 67
34.7%
2024-03-14T21:11:51.394017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
187
22.0%
산 60
 
7.1%
금 57
 
6.7%
도 43
 
5.1%
남 42
 
4.9%
군 39
 
4.6%
충 37
 
4.4%
청 37
 
4.4%
리 37
 
4.4%
1 30
 
3.5%
Other values (60) 280
33.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 498
58.7%
Space Separator 187
 
22.0%
Decimal Number 137
 
16.1%
Dash Punctuation 24
 
2.8%
Uppercase Letter 2
 
0.2%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 60
12.0%
금 57
11.4%
도 43
8.6%
남 42
 
8.4%
군 39
 
7.8%
충 37
 
7.4%
청 37
 
7.4%
리 37
 
7.4%
읍 22
 
4.4%
면 17
 
3.4%
Other values (46) 107
21.5%
Decimal Number
ValueCountFrequency (%)
1 30
21.9%
4 20
14.6%
0 17
12.4%
2 15
10.9%
7 14
10.2%
6 13
9.5%
3 12
 
8.8%
5 9
 
6.6%
9 4
 
2.9%
8 3
 
2.2%
Space Separator
ValueCountFrequency (%)
187
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%
Uppercase Letter
ValueCountFrequency (%)
C 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 498
58.7%
Common 349
41.1%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 60
12.0%
금 57
11.4%
도 43
8.6%
남 42
 
8.4%
군 39
 
7.8%
충 37
 
7.4%
청 37
 
7.4%
리 37
 
7.4%
읍 22
 
4.4%
면 17
 
3.4%
Other values (46) 107
21.5%
Common
ValueCountFrequency (%)
187
53.6%
1 30
 
8.6%
- 24
 
6.9%
4 20
 
5.7%
0 17
 
4.9%
2 15
 
4.3%
7 14
 
4.0%
6 13
 
3.7%
3 12
 
3.4%
5 9
 
2.6%
Other values (3) 8
 
2.3%
Latin
ValueCountFrequency (%)
C 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 498
58.7%
ASCII 351
41.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
187
53.3%
1 30
 
8.5%
- 24
 
6.8%
4 20
 
5.7%
0 17
 
4.8%
2 15
 
4.3%
7 14
 
4.0%
6 13
 
3.7%
3 12
 
3.4%
5 9
 
2.6%
Other values (4) 10
 
2.8%
Hangul
ValueCountFrequency (%)
산 60
12.0%
금 57
11.4%
도 43
8.6%
남 42
 
8.4%
군 39
 
7.8%
충 37
 
7.4%
청 37
 
7.4%
리 37
 
7.4%
읍 22
 
4.4%
면 17
 
3.4%
Other values (46) 107
21.5%

월배출량(kg)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct37
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1054.5705
Minimum42
Maximum3900
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size461.0 B
2024-03-14T21:11:51.647756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum42
5-th percentile54.7
Q1410
median930.9
Q31524.2
95-th percentile2522.34
Maximum3900
Range3858
Interquartile range (IQR)1114.2

Descriptive statistics

Standard deviation872.07551
Coefficient of variation (CV)0.82694849
Kurtosis1.7487535
Mean1054.5705
Median Absolute Deviation (MAD)524.2
Skewness1.1330462
Sum39019.11
Variance760515.7
MonotonicityNot monotonic
2024-03-14T21:11:52.153293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
1558.75 1
 
2.7%
195.0 1
 
2.7%
794.2 1
 
2.7%
57.7 1
 
2.7%
1731.5 1
 
2.7%
3900.0 1
 
2.7%
1454.2 1
 
2.7%
438.3 1
 
2.7%
1033.4 1
 
2.7%
1026.7 1
 
2.7%
Other values (27) 27
73.0%
ValueCountFrequency (%)
42.0 1
2.7%
46.7 1
2.7%
56.7 1
2.7%
57.7 1
2.7%
60.0 1
2.7%
67.7 1
2.7%
130.0 1
2.7%
195.0 1
2.7%
406.7 1
2.7%
410.0 1
2.7%
ValueCountFrequency (%)
3900.0 1
2.7%
2591.7 1
2.7%
2505.0 1
2.7%
2357.5 1
2.7%
2032.5 1
2.7%
1893.3 1
2.7%
1731.5 1
2.7%
1622.9 1
2.7%
1558.75 1
2.7%
1524.2 1
2.7%

일배출량(kg)
Real number (ℝ)

HIGH CORRELATION 

Distinct36
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.665405
Minimum1.4
Maximum128.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size461.0 B
2024-03-14T21:11:52.583015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.4
5-th percentile1.832
Q113.47
median30.6
Q350
95-th percentile82.96
Maximum128.2
Range126.8
Interquartile range (IQR)36.53

Descriptive statistics

Standard deviation28.671529
Coefficient of variation (CV)0.82709343
Kurtosis1.7473744
Mean34.665405
Median Absolute Deviation (MAD)17.2
Skewness1.133285
Sum1282.62
Variance822.05658
MonotonicityNot monotonic
2024-03-14T21:11:53.016851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
1.9 2
 
5.4%
51.3 1
 
2.7%
1.89 1
 
2.7%
56.9 1
 
2.7%
128.2 1
 
2.7%
47.8 1
 
2.7%
14.4 1
 
2.7%
33.9 1
 
2.7%
6.4 1
 
2.7%
33.7 1
 
2.7%
Other values (26) 26
70.3%
ValueCountFrequency (%)
1.4 1
2.7%
1.6 1
2.7%
1.89 1
2.7%
1.9 2
5.4%
2.22 1
2.7%
4.2 1
2.7%
6.4 1
2.7%
13.4 1
2.7%
13.47 1
2.7%
13.9 1
2.7%
ValueCountFrequency (%)
128.2 1
2.7%
85.2 1
2.7%
82.4 1
2.7%
77.5 1
2.7%
66.9 1
2.7%
62.24 1
2.7%
56.9 1
2.7%
53.3 1
2.7%
51.3 1
2.7%
50.0 1
2.7%

처리방법
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size424.0 B
위탁 재활용
22 
위탁재활용
15 

Length

Max length6
Median length6
Mean length5.5945946
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
위탁 재활용 22
59.5%
위탁재활용 15
40.5%

Length

2024-03-14T21:11:53.430470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T21:11:53.744193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
위탁 22
37.3%
재활용 22
37.3%
위탁재활용 15
25.4%

데이터 기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size424.0 B
2024-02-20
37 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-02-20
2nd row2024-02-20
3rd row2024-02-20
4th row2024-02-20
5th row2024-02-20

Common Values

ValueCountFrequency (%)
2024-02-20 37
100.0%

Length

2024-03-14T21:11:54.097971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T21:11:54.303712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-02-20 37
100.0%

Interactions

2024-03-14T21:11:39.365147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:11:37.783847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:11:38.566245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:11:39.622075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:11:38.045410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:11:38.829018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:11:39.885505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:11:38.311073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:11:39.099031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T21:11:54.422182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번상호명연락처소재지 도로명주소소재지 지번주소월배출량(kg)일배출량(kg)처리방법
연번1.0001.0000.4310.9260.9160.0000.0001.000
상호명1.0001.0001.0001.0001.0001.0001.0001.000
연락처0.4311.0001.0000.9860.9870.6340.6340.000
소재지 도로명주소0.9261.0000.9861.0001.0000.0000.0000.000
소재지 지번주소0.9161.0000.9871.0001.0000.0000.0000.000
월배출량(kg)0.0001.0000.6340.0000.0001.0001.0000.000
일배출량(kg)0.0001.0000.6340.0000.0001.0001.0000.000
처리방법1.0001.0000.0000.0000.0000.0000.0001.000
2024-03-14T21:11:54.615151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번월배출량(kg)일배출량(kg)처리방법
연번1.0000.0150.0150.878
월배출량(kg)0.0151.0001.0000.000
일배출량(kg)0.0151.0001.0000.000
처리방법0.8780.0000.0001.000

Missing values

2024-03-14T21:11:40.235914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T21:11:40.697098image/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.
2024-03-14T21:11:41.009721image/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 69충청남도 금산군 금산읍 상리 176-91558.7551.3위탁 재활용2024-02-20
12중앙초등학교041-753-6334충청남도 금산군 금산읍 금산로 1427충청남도 금산군 금산읍 상옥리 137-1930.930.6위탁 재활용2024-02-20
23금산동초등학교041-753-6135충청남도 금산군 금산읍 후곤천길 145충청남도 금산군 금산읍 중도리 102422.9113.9위탁 재활용2024-02-20
34남경가든041-754-1133<NA>충청남도 금산군 금산읍 상옥리 8-2406.713.4위탁 재활용2024-02-20
45진산초등학교041-753-7908충청남도 금산군 진산면 읍내로 41충청남도 금산군 진산면 읍내리 53167.72.22위탁 재활용2024-02-20
56추부초등학교041-752-4376충청남도 금산군 추부면 하마전로 23충청남도 금산군 추부면 마전리 412848.427.9위탁 재활용2024-02-20
67새금산병원장례식장041-753-7106충청남도 금산군 금산읍 금산로 1279충청남도 금산군 금산읍 하옥리 49-22357.577.5위탁 재활용2024-02-20
78금산하이텍고등학교041-752-9299충청남도 금산군 진산면 대둔산로 412충청남도 금산군 진산면 읍내리 172907.529.9위탁 재활용2024-02-20
89금산동중학교041-753-6147충청남도 금산군 금산읍 용머리길 25충청남도 금산군 금산읍 아인리 134-21186.739.0위탁 재활용2024-02-20
910금산효사랑요양병원041-753-7003충청남도 금산군 남일면 무금로 2145충청남도 금산군 남일면 황풍리 343-61216.040.0위탁 재활용2024-02-20
연번상호명연락처소재지 도로명주소소재지 지번주소월배출량(kg)일배출량(kg)처리방법데이터 기준일자
2728영농조합법인 비단골<NA>충청남도 금산군 남일면 창평로 178충청남도 금산군 남일면 황풍리 131033.433.9위탁재활용2024-02-20
2829오성짜장041-754-0089충청남도 금산군 금산읍 사직중앙로 35충청남도 금산군 금산읍 아인리 648-4195.06.4위탁재활용2024-02-20
2930금산동백장례식장041-751-4444충청남도 금산군 군북면 은골길 20 (동백장례식장)충청남도 금산군 군북면 호티리 7151026.733.7위탁재활용2024-02-20
3031들녘0507-1398-5584충청남도 금산군 금산읍 금산로 1377, 2층 (새동네슈퍼)충청남도 금산군 금산읍 하옥리 407-24130.04.2위탁재활용2024-02-20
3132(주)에스피씨지에프에스 사조오양금산공장식당041-753-6513충청남도 금산군 추부면 군북로 1294 ((주)사조오양)충청남도 금산군 추부면 서대리 491-10845.8327.8위탁재활용2024-02-20
3233(주)세종푸드캠프041-751-7076충청남도 금산군 추부면 신평공단1로 126충청남도 금산군 추부면 신평리 1004-12591.785.2위탁재활용2024-02-20
3334(주)동워홈푸드 에딘버러컨트리클럽041-750-0114충청남도 금산군 진산면 살구정길 167, 에딘버러CC충청남도 금산군 진산면 행정리 473-11 에딘버러CC985.032.3위탁재활용2024-02-20
3435이본가0507-1321-9255충청남도 금산군 금산읍 진산로 24, 갈비마을 고대천충청남도 금산군 금산읍 상리 340-3 갈비마을 고대천1893.362.24위탁재활용2024-02-20
3536금산원조김정이삼계탕041-752-2678충청남도 금산군 금산읍 인삼약초로 33, 대원상가충청남도 금산군 금산읍 중도리 34-1 대원상가410.013.47위탁재활용2024-02-20
3637명륜진사갈비(금산점)0507-1344-9830충청남도 금산군 금산읍 비단로 331충청남도 금산군 금산읍 상리 20-5451.714.9위탁재활용2024-02-20