Overview

Dataset statistics

Number of variables10
Number of observations42
Missing cells1
Missing cells (%)0.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.5 KiB
Average record size in memory85.1 B

Variable types

Numeric2
Categorical3
Text5

Dataset

Description관내 사업장폐기물 배출자 신고현황 자료로 폐기물구분, 상호명, 폐기물종류, 사업자등록번호, 처리방법, 사업장도로명주소, 신고기준년도, 데이터 기준일자로 구성되어 있음.
Author경상남도 함양군
URLhttps://www.data.go.kr/data/15060374/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
연번 is highly overall correlated with 신고기준년도High correlation
신고기준년도 is highly overall correlated with 연번High correlation
생활계구분 is highly imbalanced (72.4%)Imbalance
처리구분 is highly imbalanced (51.5%)Imbalance
전화번호 has 1 (2.4%) missing valuesMissing
연번 has unique valuesUnique
상호 has unique valuesUnique

Reproduction

Analysis started2024-04-21 01:24:58.711129
Analysis finished2024-04-21 01:25:01.141793
Duration2.43 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.5
Minimum1
Maximum42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-21T10:25:01.214617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.05
Q111.25
median21.5
Q331.75
95-th percentile39.95
Maximum42
Range41
Interquartile range (IQR)20.5

Descriptive statistics

Standard deviation12.267844
Coefficient of variation (CV)0.5705974
Kurtosis-1.2
Mean21.5
Median Absolute Deviation (MAD)10.5
Skewness0
Sum903
Variance150.5
MonotonicityStrictly increasing
2024-04-21T10:25:01.338203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
1 1
 
2.4%
33 1
 
2.4%
25 1
 
2.4%
26 1
 
2.4%
27 1
 
2.4%
28 1
 
2.4%
29 1
 
2.4%
30 1
 
2.4%
31 1
 
2.4%
32 1
 
2.4%
Other values (32) 32
76.2%
ValueCountFrequency (%)
1 1
2.4%
2 1
2.4%
3 1
2.4%
4 1
2.4%
5 1
2.4%
6 1
2.4%
7 1
2.4%
8 1
2.4%
9 1
2.4%
10 1
2.4%
ValueCountFrequency (%)
42 1
2.4%
41 1
2.4%
40 1
2.4%
39 1
2.4%
38 1
2.4%
37 1
2.4%
36 1
2.4%
35 1
2.4%
34 1
2.4%
33 1
2.4%

생활계구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
배출시설계
40 
비배출시설계
 
2

Length

Max length6
Median length5
Mean length5.047619
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
배출시설계 40
95.2%
비배출시설계 2
 
4.8%

Length

2024-04-21T10:25:01.450825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:25:01.549214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
배출시설계 40
95.2%
비배출시설계 2
 
4.8%

상호
Text

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size468.0 B
2024-04-21T10:25:01.731234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length14.5
Mean length8.4285714
Min length2

Characters and Unicode

Total characters354
Distinct characters119
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique42 ?
Unique (%)100.0%

Sample

1st row주식회사 인산가
2nd row안의농협
3rd row지곡농업협동조합
4th row함양농협미곡종합처리장
5th row주식회사 미산환경
ValueCountFrequency (%)
주식회사 7
 
13.5%
수동농업협동조합(농산물유통센터 1
 
1.9%
양토원온돌침대 1
 
1.9%
주)한국화이바 1
 
1.9%
함양공장 1
 
1.9%
한국전력 1
 
1.9%
함양지사 1
 
1.9%
퓨어플러스(주 1
 
1.9%
함양군폐기물종합처리장 1
 
1.9%
남양기업(주 1
 
1.9%
Other values (36) 36
69.2%
2024-04-21T10:25:02.119866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 25
 
7.1%
( 20
 
5.6%
) 20
 
5.6%
업 14
 
4.0%
산 13
 
3.7%
양 13
 
3.7%
함 11
 
3.1%
10
 
2.8%
사 9
 
2.5%
회 8
 
2.3%
Other values (109) 211
59.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 300
84.7%
Open Punctuation 20
 
5.6%
Close Punctuation 20
 
5.6%
Space Separator 10
 
2.8%
Uppercase Letter 4
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 25
 
8.3%
업 14
 
4.7%
산 13
 
4.3%
양 13
 
4.3%
함 11
 
3.7%
사 9
 
3.0%
회 8
 
2.7%
농 8
 
2.7%
지 7
 
2.3%
식 7
 
2.3%
Other values (103) 185
61.7%
Uppercase Letter
ValueCountFrequency (%)
S 2
50.0%
B 1
25.0%
C 1
25.0%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 300
84.7%
Common 50
 
14.1%
Latin 4
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 25
 
8.3%
업 14
 
4.7%
산 13
 
4.3%
양 13
 
4.3%
함 11
 
3.7%
사 9
 
3.0%
회 8
 
2.7%
농 8
 
2.7%
지 7
 
2.3%
식 7
 
2.3%
Other values (103) 185
61.7%
Common
ValueCountFrequency (%)
( 20
40.0%
) 20
40.0%
10
20.0%
Latin
ValueCountFrequency (%)
S 2
50.0%
B 1
25.0%
C 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 300
84.7%
ASCII 54
 
15.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 25
 
8.3%
업 14
 
4.7%
산 13
 
4.3%
양 13
 
4.3%
함 11
 
3.7%
사 9
 
3.0%
회 8
 
2.7%
농 8
 
2.7%
지 7
 
2.3%
식 7
 
2.3%
Other values (103) 185
61.7%
ASCII
ValueCountFrequency (%)
( 20
37.0%
) 20
37.0%
10
18.5%
S 2
 
3.7%
B 1
 
1.9%
C 1
 
1.9%

폐기물종류
Text

Distinct31
Distinct (%)73.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
2024-04-21T10:25:02.287751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length136
Median length31
Mean length17.97619
Min length3

Characters and Unicode

Total characters755
Distinct characters101
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

Unique26 ?
Unique (%)61.9%

Sample

1st row사업장폐기물 소각시설 소각재
2nd row그 밖의 식물성잔재물
3rd row그 밖의 식물성잔재물
4th row왕겨+쌀겨
5th row폐합성수지류
ValueCountFrequency (%)
밖의 26
23.0%
그 11
 
9.7%
석재+골재폐수처리오니 6
 
5.3%
식물성잔재물 6
 
5.3%
폐합성수지류+그 4
 
3.5%
폐수처리오니+그 2
 
1.8%
폐목재류+그 2
 
1.8%
소각시설 2
 
1.8%
폐기물 2
 
1.8%
분진+폐합성수지류 2
 
1.8%
Other values (47) 50
44.2%
2024-04-21T10:25:02.566552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
72
 
9.5%
폐 70
 
9.3%
+ 55
 
7.3%
재 43
 
5.7%
수 33
 
4.4%
성 29
 
3.8%
물 28
 
3.7%
의 27
 
3.6%
그 26
 
3.4%
밖 26
 
3.4%
Other values (91) 346
45.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 625
82.8%
Space Separator 72
 
9.5%
Math Symbol 55
 
7.3%
Other Punctuation 3
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
폐 70
 
11.2%
재 43
 
6.9%
수 33
 
5.3%
성 29
 
4.6%
물 28
 
4.5%
의 27
 
4.3%
그 26
 
4.2%
밖 26
 
4.2%
류 25
 
4.0%
리 22
 
3.5%
Other values (88) 296
47.4%
Space Separator
ValueCountFrequency (%)
72
100.0%
Math Symbol
ValueCountFrequency (%)
+ 55
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 625
82.8%
Common 130
 
17.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
폐 70
 
11.2%
재 43
 
6.9%
수 33
 
5.3%
성 29
 
4.6%
물 28
 
4.5%
의 27
 
4.3%
그 26
 
4.2%
밖 26
 
4.2%
류 25
 
4.0%
리 22
 
3.5%
Other values (88) 296
47.4%
Common
ValueCountFrequency (%)
72
55.4%
+ 55
42.3%
, 3
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 625
82.8%
ASCII 130
 
17.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
72
55.4%
+ 55
42.3%
, 3
 
2.3%
Hangul
ValueCountFrequency (%)
폐 70
 
11.2%
재 43
 
6.9%
수 33
 
5.3%
성 29
 
4.6%
물 28
 
4.5%
의 27
 
4.3%
그 26
 
4.2%
밖 26
 
4.2%
류 25
 
4.0%
리 22
 
3.5%
Other values (88) 296
47.4%

사업자등록번호
Text

Distinct41
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size468.0 B
2024-04-21T10:25:02.774772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.97619
Min length11

Characters and Unicode

Total characters503
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

Unique40 ?
Unique (%)95.2%

Sample

1st row139-81-4493
2nd row611-82-00446
3rd row611-82-00413
4th row611-82-04762
5th row725-81-01766
ValueCountFrequency (%)
611-83-00763 2
 
4.8%
139-81-4493 1
 
2.4%
611-82-03686 1
 
2.4%
120-82-00052 1
 
2.4%
611-81-08984 1
 
2.4%
611-81-11683 1
 
2.4%
128-88-01265 1
 
2.4%
611-82-00451 1
 
2.4%
611-82-04781 1
 
2.4%
611-83-04492 1
 
2.4%
Other values (31) 31
73.8%
2024-04-21T10:25:03.082168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 101
20.1%
- 84
16.7%
0 58
11.5%
8 55
10.9%
6 52
10.3%
2 33
 
6.6%
7 32
 
6.4%
3 31
 
6.2%
4 26
 
5.2%
5 16
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 419
83.3%
Dash Punctuation 84
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 101
24.1%
0 58
13.8%
8 55
13.1%
6 52
12.4%
2 33
 
7.9%
7 32
 
7.6%
3 31
 
7.4%
4 26
 
6.2%
5 16
 
3.8%
9 15
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 84
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 503
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 101
20.1%
- 84
16.7%
0 58
11.5%
8 55
10.9%
6 52
10.3%
2 33
 
6.6%
7 32
 
6.4%
3 31
 
6.2%
4 26
 
5.2%
5 16
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 503
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 101
20.1%
- 84
16.7%
0 58
11.5%
8 55
10.9%
6 52
10.3%
2 33
 
6.6%
7 32
 
6.4%
3 31
 
6.2%
4 26
 
5.2%
5 16
 
3.2%

전화번호
Text

MISSING 

Distinct41
Distinct (%)100.0%
Missing1
Missing (%)2.4%
Memory size468.0 B
2024-04-21T10:25:03.288234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters492
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

Unique41 ?
Unique (%)100.0%

Sample

1st row055-963-9992
2nd row055-962-0600
3rd row055-962-7224
4th row055-963-8631
5th row055-963-8000
ValueCountFrequency (%)
055-963-9992 1
 
2.4%
055-964-1551 1
 
2.4%
055-960-3222 1
 
2.4%
055-960-2234 1
 
2.4%
055-964-1437 1
 
2.4%
055-960-5216 1
 
2.4%
055-964-0041 1
 
2.4%
055-963-0471 1
 
2.4%
055-963-1370 1
 
2.4%
055-963-7239 1
 
2.4%
Other values (31) 31
75.6%
2024-04-21T10:25:03.593855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 95
19.3%
- 82
16.7%
0 75
15.2%
9 51
10.4%
6 51
10.4%
2 29
 
5.9%
4 27
 
5.5%
3 26
 
5.3%
1 25
 
5.1%
7 20
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 410
83.3%
Dash Punctuation 82
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 95
23.2%
0 75
18.3%
9 51
12.4%
6 51
12.4%
2 29
 
7.1%
4 27
 
6.6%
3 26
 
6.3%
1 25
 
6.1%
7 20
 
4.9%
8 11
 
2.7%
Dash Punctuation
ValueCountFrequency (%)
- 82
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 492
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 95
19.3%
- 82
16.7%
0 75
15.2%
9 51
10.4%
6 51
10.4%
2 29
 
5.9%
4 27
 
5.5%
3 26
 
5.3%
1 25
 
5.1%
7 20
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 492
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 95
19.3%
- 82
16.7%
0 75
15.2%
9 51
10.4%
6 51
10.4%
2 29
 
5.9%
4 27
 
5.5%
3 26
 
5.3%
1 25
 
5.1%
7 20
 
4.1%

처리구분
Categorical

IMBALANCE 

Distinct5
Distinct (%)11.9%
Missing0
Missing (%)0.0%
Memory size468.0 B
위탁
33 
자가(재활용)
4 
위탁+자가(재활용)
 
3
위탁+자가(매립)
 
1
자가(매립)
 
1

Length

Max length10
Median length2
Mean length3.3095238
Min length2

Unique

Unique2 ?
Unique (%)4.8%

Sample

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

Common Values

ValueCountFrequency (%)
위탁 33
78.6%
자가(재활용) 4
 
9.5%
위탁+자가(재활용) 3
 
7.1%
위탁+자가(매립) 1
 
2.4%
자가(매립) 1
 
2.4%

Length

2024-04-21T10:25:03.721731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:25:03.824871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
위탁 33
78.6%
자가(재활용 4
 
9.5%
위탁+자가(재활용 3
 
7.1%
위탁+자가(매립 1
 
2.4%
자가(매립 1
 
2.4%

사업장도로명주소
Text

Distinct40
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size468.0 B
2024-04-21T10:25:04.017089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length24
Mean length21.690476
Min length18

Characters and Unicode

Total characters911
Distinct characters74
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

Unique38 ?
Unique (%)90.5%

Sample

1st row경상남도 함양군 수동면 수동농공길 23-26
2nd row경상남도 함양군 안의면 광풍로 82-28
3rd row경상남도 함양군 지곡면 지곡창촌길 5
4th row경상남도 함양군 함양읍 후동길 5
5th row경상남도 함양군 수동면 구라길 93
ValueCountFrequency (%)
경상남도 42
20.0%
함양군 42
20.0%
수동면 13
 
6.2%
함양읍 9
 
4.3%
안의면 8
 
3.8%
천왕봉로 5
 
2.4%
황마로 5
 
2.4%
목현옥매로 4
 
1.9%
산업단지길 4
 
1.9%
마천면 4
 
1.9%
Other values (61) 74
35.2%
2024-04-21T10:25:04.369063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
168
18.4%
함 55
 
6.0%
양 54
 
5.9%
남 43
 
4.7%
도 43
 
4.7%
상 43
 
4.7%
경 42
 
4.6%
군 42
 
4.6%
면 33
 
3.6%
1 31
 
3.4%
Other values (64) 357
39.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 594
65.2%
Space Separator 168
 
18.4%
Decimal Number 137
 
15.0%
Dash Punctuation 12
 
1.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
함 55
 
9.3%
양 54
 
9.1%
남 43
 
7.2%
도 43
 
7.2%
상 43
 
7.2%
경 42
 
7.1%
군 42
 
7.1%
면 33
 
5.6%
로 22
 
3.7%
길 20
 
3.4%
Other values (52) 197
33.2%
Decimal Number
ValueCountFrequency (%)
1 31
22.6%
0 16
11.7%
9 15
10.9%
2 15
10.9%
3 13
9.5%
6 13
9.5%
8 10
 
7.3%
4 9
 
6.6%
7 8
 
5.8%
5 7
 
5.1%
Space Separator
ValueCountFrequency (%)
168
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 594
65.2%
Common 317
34.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
함 55
 
9.3%
양 54
 
9.1%
남 43
 
7.2%
도 43
 
7.2%
상 43
 
7.2%
경 42
 
7.1%
군 42
 
7.1%
면 33
 
5.6%
로 22
 
3.7%
길 20
 
3.4%
Other values (52) 197
33.2%
Common
ValueCountFrequency (%)
168
53.0%
1 31
 
9.8%
0 16
 
5.0%
9 15
 
4.7%
2 15
 
4.7%
3 13
 
4.1%
6 13
 
4.1%
- 12
 
3.8%
8 10
 
3.2%
4 9
 
2.8%
Other values (2) 15
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 594
65.2%
ASCII 317
34.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
168
53.0%
1 31
 
9.8%
0 16
 
5.0%
9 15
 
4.7%
2 15
 
4.7%
3 13
 
4.1%
6 13
 
4.1%
- 12
 
3.8%
8 10
 
3.2%
4 9
 
2.8%
Other values (2) 15
 
4.7%
Hangul
ValueCountFrequency (%)
함 55
 
9.3%
양 54
 
9.1%
남 43
 
7.2%
도 43
 
7.2%
상 43
 
7.2%
경 42
 
7.1%
군 42
 
7.1%
면 33
 
5.6%
로 22
 
3.7%
길 20
 
3.4%
Other values (52) 197
33.2%

신고기준년도
Real number (ℝ)

HIGH CORRELATION 

Distinct23
Distinct (%)54.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2009.3095
Minimum1994
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-21T10:25:04.481671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1994
5-th percentile1996
Q12001
median2010.5
Q32019
95-th percentile2021.95
Maximum2023
Range29
Interquartile range (IQR)18

Descriptive statistics

Standard deviation9.8215495
Coefficient of variation (CV)0.0048880222
Kurtosis-1.5450606
Mean2009.3095
Median Absolute Deviation (MAD)8.5
Skewness-0.16480178
Sum84391
Variance96.462834
MonotonicityNot monotonic
2024-04-21T10:25:04.591625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
1996 6
14.3%
2019 5
 
11.9%
2021 3
 
7.1%
1994 2
 
4.8%
2018 2
 
4.8%
2015 2
 
4.8%
2003 2
 
4.8%
2001 2
 
4.8%
2022 2
 
4.8%
2006 2
 
4.8%
Other values (13) 14
33.3%
ValueCountFrequency (%)
1994 2
 
4.8%
1996 6
14.3%
1999 1
 
2.4%
2000 1
 
2.4%
2001 2
 
4.8%
2002 2
 
4.8%
2003 2
 
4.8%
2004 1
 
2.4%
2006 2
 
4.8%
2009 1
 
2.4%
ValueCountFrequency (%)
2023 1
 
2.4%
2022 2
 
4.8%
2021 3
7.1%
2020 1
 
2.4%
2019 5
11.9%
2018 2
 
4.8%
2017 1
 
2.4%
2016 1
 
2.4%
2015 2
 
4.8%
2014 1
 
2.4%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size468.0 B
2024-04-15
42 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-04-15
2nd row2024-04-15
3rd row2024-04-15
4th row2024-04-15
5th row2024-04-15

Common Values

ValueCountFrequency (%)
2024-04-15 42
100.0%

Length

2024-04-21T10:25:04.716671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:25:04.819889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-04-15 42
100.0%

Interactions

2024-04-21T10:25:00.773154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:25:00.578920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:25:00.842749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:25:00.700691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T10:25:04.890056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번생활계구분상호폐기물종류사업자등록번호전화번호처리구분사업장도로명주소신고기준년도
연번1.0000.0001.0000.8360.9251.0000.5350.8580.946
생활계구분0.0001.0001.0001.0001.0001.0000.0001.0000.082
상호1.0001.0001.0001.0001.0001.0001.0001.0001.000
폐기물종류0.8361.0001.0001.0000.9561.0000.0000.7760.957
사업자등록번호0.9251.0001.0000.9561.0001.0000.0000.9840.921
전화번호1.0001.0001.0001.0001.0001.0001.0001.0001.000
처리구분0.5350.0001.0000.0000.0001.0001.0000.9380.475
사업장도로명주소0.8581.0001.0000.7760.9841.0000.9381.0000.519
신고기준년도0.9460.0821.0000.9570.9211.0000.4750.5191.000
2024-04-21T10:25:04.998468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
처리구분생활계구분
처리구분1.0000.000
생활계구분0.0001.000
2024-04-21T10:25:05.088650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번신고기준년도생활계구분처리구분
연번1.000-0.9810.0000.221
신고기준년도-0.9811.0000.1040.023
생활계구분0.0000.1041.0000.000
처리구분0.2210.0230.0001.000

Missing values

2024-04-21T10:25:00.938321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T10:25:01.081899image/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

연번생활계구분상호폐기물종류사업자등록번호전화번호처리구분사업장도로명주소신고기준년도데이터기준일자
01배출시설계주식회사 인산가사업장폐기물 소각시설 소각재139-81-4493055-963-9992위탁경상남도 함양군 수동면 수동농공길 23-2620232024-04-15
12배출시설계안의농협그 밖의 식물성잔재물611-82-00446055-962-0600위탁경상남도 함양군 안의면 광풍로 82-2820222024-04-15
23배출시설계지곡농업협동조합그 밖의 식물성잔재물611-82-00413055-962-7224위탁경상남도 함양군 지곡면 지곡창촌길 520222024-04-15
34배출시설계함양농협미곡종합처리장왕겨+쌀겨611-82-04762055-963-8631위탁경상남도 함양군 함양읍 후동길 520212024-04-15
45배출시설계주식회사 미산환경폐합성수지류725-81-01766055-963-8000위탁경상남도 함양군 수동면 구라길 9320212024-04-15
56배출시설계앤오앤(주)농업회사법인그 밖의 식물성잔재물611-81-26454055-964-9111위탁경상남도 함양군 안의면 안의도장골길 13020212024-04-15
67배출시설계(주)세화산업개발 함양지점석재+골재폐수처리오니331-85-01690<NA>위탁경상남도 함양군 수동면 하교내백로 199-120202024-04-15
78배출시설계주식회사 근하하이테크산업폐콘크리트277-88-00957055-964-1971위탁경상남도 함양군 안의면 황마로 61-4420192024-04-15
89배출시설계우성동물성유지류+그 밖의 동물성잔재물733-09-02337055-962-2670위탁경상남도 함양군 함양읍 하림강변길 43-9020192024-04-15
910배출시설계주식회사 함양기업폐콘크리트+폐아스팔트콘크리트611-81-09101055-963-0082위탁경상남도 함양군 유림면 목현옥매로 30520192024-04-15
연번생활계구분상호폐기물종류사업자등록번호전화번호처리구분사업장도로명주소신고기준년도데이터기준일자
3233배출시설계선광제지펄프+제지폐수처리오니613-16-75370055-963-3196자가(재활용)경상남도 함양군 함양읍 이은농공길 4119992024-04-15
3334배출시설계도림산업폐석재+석재+골재폐수처리오니611-08-61875055-963-1180위탁+자가(재활용)경상남도 함양군 안의면 안의관동길 22819962024-04-15
3435배출시설계마천석재석재+골재폐수처리오니611-07-60239055-962-5848자가(매립)경상남도 함양군 마천면 천왕봉로 129019962024-04-15
3536배출시설계(주)마천스톤석재+골재폐수처리오니+폐석재611-81-07194055-964-2327자가(재활용)경상남도 함양군 수동면 구라길 9519962024-04-15
3637배출시설계덕우석재폐석재+석재+골재폐수처리오니611-05-54183055-962-3437위탁+자가(재활용)경상남도 함양군 마천면 천왕봉로 127019962024-04-15
3738배출시설계신일산업석재+골재폐수처리오니611-07-61596055-963-7215자가(재활용)경상남도 함양군 수동면 구라동구길 7419962024-04-15
3839배출시설계BS산업석재+골재폐수처리오니407-12-16803055-963-7787위탁경상남도 함양군 마천면 천왕봉로 98919962024-04-15
3940배출시설계(주)경호폐합성수지류+그 밖의 폐수처리오니+그 밖의 식물성잔재물611-81-01981055-963-1566위탁경상남도 함양군 유림면 천왕봉로 301820032024-04-15
4041배출시설계양토원온돌침대석재+골재폐수처리오니611-07-60471055-962-5445위탁경상남도 함양군 마천면 천왕봉로 103919942024-04-15
4142배출시설계주식회사 금광도기폐석고+폐도자기조각611-81-26774055-962-4994위탁경상남도 함양군 함양읍 월명길 92-119942024-04-15