Overview

Dataset statistics

Number of variables38
Number of observations64
Missing cells55
Missing cells (%)2.3%
Duplicate rows1
Duplicate rows (%)1.6%
Total size in memory19.1 KiB
Average record size in memory306.1 B

Variable types

Categorical34
Text4

Alerts

Dataset has 1 (1.6%) duplicate rowsDuplicates
Unnamed: 18 is highly imbalanced (50.7%)Imbalance
Unnamed: 27 is highly imbalanced (52.2%)Imbalance
Unnamed: 28 is highly imbalanced (62.2%)Imbalance
Unnamed: 29 is highly imbalanced (75.5%)Imbalance
Unnamed: 32 is highly imbalanced (58.4%)Imbalance
Unnamed: 35 is highly imbalanced (75.5%)Imbalance
Unnamed: 1 has 48 (75.0%) missing valuesMissing
Unnamed: 4 has 3 (4.7%) missing valuesMissing
Unnamed: 5 has 2 (3.1%) missing valuesMissing
Unnamed: 6 has 2 (3.1%) missing valuesMissing

Reproduction

Analysis started2024-03-14 01:11:09.669734
Analysis finished2024-03-14 01:11:10.154552
Duration0.48 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

생활 폐기물 발생 및 처리현황 (2017년 말 기준)
Categorical

Distinct4
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size644.0 B
<NA>
47 
전북
15 
구분
 
1
시도
 
1

Length

Max length4
Median length4
Mean length3.46875
Min length2

Unique

Unique2 ?
Unique (%)3.1%

Sample

1st row<NA>
2nd row구분
3rd row<NA>
4th row시도
5th row전북

Common Values

ValueCountFrequency (%)
<NA> 47
73.4%
전북 15
 
23.4%
구분 1
 
1.6%
시도 1
 
1.6%

Length

2024-03-14T10:11:10.211373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:11:10.520150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 47
73.4%
전북 15
 
23.4%
구분 1
 
1.6%
시도 1
 
1.6%

Unnamed: 1
Text

MISSING 

Distinct16
Distinct (%)100.0%
Missing48
Missing (%)75.0%
Memory size644.0 B
2024-03-14T10:11:10.642503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9375
Min length2

Characters and Unicode

Total characters47
Distinct characters27
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)100.0%

Sample

1st row시군구
2nd row소계
3rd row전주시
4th row군산시
5th row익산시
ValueCountFrequency (%)
시군구 1
 
6.2%
소계 1
 
6.2%
전주시 1
 
6.2%
군산시 1
 
6.2%
익산시 1
 
6.2%
정읍시 1
 
6.2%
남원시 1
 
6.2%
김제시 1
 
6.2%
완주군 1
 
6.2%
진안군 1
 
6.2%
Other values (6) 6
37.5%
2024-03-14T10:11:10.883636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
군 10
21.3%
시 7
14.9%
주 3
 
6.4%
창 2
 
4.3%
산 2
 
4.3%
안 2
 
4.3%
완 1
 
2.1%
고 1
 
2.1%
순 1
 
2.1%
실 1
 
2.1%
Other values (17) 17
36.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 47
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
군 10
21.3%
시 7
14.9%
주 3
 
6.4%
창 2
 
4.3%
산 2
 
4.3%
안 2
 
4.3%
완 1
 
2.1%
고 1
 
2.1%
순 1
 
2.1%
실 1
 
2.1%
Other values (17) 17
36.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 47
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
군 10
21.3%
시 7
14.9%
주 3
 
6.4%
창 2
 
4.3%
산 2
 
4.3%
안 2
 
4.3%
완 1
 
2.1%
고 1
 
2.1%
순 1
 
2.1%
실 1
 
2.1%
Other values (17) 17
36.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 47
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
군 10
21.3%
시 7
14.9%
주 3
 
6.4%
창 2
 
4.3%
산 2
 
4.3%
안 2
 
4.3%
완 1
 
2.1%
고 1
 
2.1%
순 1
 
2.1%
실 1
 
2.1%
Other values (17) 17
36.2%

Unnamed: 2
Categorical

Distinct4
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size644.0 B
<NA>
33 
발생량
15 
처리방법
15 
발생량 및 처리현황
 
1

Length

Max length10
Median length4
Mean length3.859375
Min length3

Unique

Unique1 ?
Unique (%)1.6%

Sample

1st row<NA>
2nd row발생량 및 처리현황
3rd row<NA>
4th row<NA>
5th row발생량

Common Values

ValueCountFrequency (%)
<NA> 33
51.6%
발생량 15
23.4%
처리방법 15
23.4%
발생량 및 처리현황 1
 
1.6%

Length

2024-03-14T10:11:11.001010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:11:11.141129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 33
50.0%
발생량 16
24.2%
처리방법 15
22.7%
및 1
 
1.5%
처리현황 1
 
1.5%

Unnamed: 3
Categorical

Distinct4
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size644.0 B
<NA>
19 
매립
15 
소각
15 
재활용
15 

Length

Max length4
Median length3
Mean length2.828125
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 19
29.7%
매립 15
23.4%
소각 15
23.4%
재활용 15
23.4%

Length

2024-03-14T10:11:11.277565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:11:11.374432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 19
29.7%
매립 15
23.4%
소각 15
23.4%
재활용 15
23.4%

Unnamed: 4
Text

MISSING 

Distinct50
Distinct (%)82.0%
Missing3
Missing (%)4.7%
Memory size644.0 B
2024-03-14T10:11:11.526370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length3.8852459
Min length2

Characters and Unicode

Total characters237
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique44 ?
Unique (%)72.1%

Sample

1st row총계
2nd row1,615.6
3rd row353.9
4th row352.5
5th row909.2
ValueCountFrequency (%)
0.0 7
 
11.5%
15.9 2
 
3.3%
31.2 2
 
3.3%
6.9 2
 
3.3%
8.3 2
 
3.3%
4.5 2
 
3.3%
24.3 1
 
1.6%
16.6 1
 
1.6%
52.3 1
 
1.6%
1.9 1
 
1.6%
Other values (40) 40
65.6%
2024-03-14T10:11:11.822223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 60
25.3%
1 29
12.2%
3 26
11.0%
2 24
 
10.1%
0 22
 
9.3%
5 19
 
8.0%
4 18
 
7.6%
6 14
 
5.9%
9 11
 
4.6%
8 7
 
3.0%
Other values (4) 7
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 174
73.4%
Other Punctuation 61
 
25.7%
Other Letter 2
 
0.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 29
16.7%
3 26
14.9%
2 24
13.8%
0 22
12.6%
5 19
10.9%
4 18
10.3%
6 14
8.0%
9 11
 
6.3%
8 7
 
4.0%
7 4
 
2.3%
Other Punctuation
ValueCountFrequency (%)
. 60
98.4%
, 1
 
1.6%
Other Letter
ValueCountFrequency (%)
총 1
50.0%
계 1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Common 235
99.2%
Hangul 2
 
0.8%

Most frequent character per script

Common
ValueCountFrequency (%)
. 60
25.5%
1 29
12.3%
3 26
11.1%
2 24
 
10.2%
0 22
 
9.4%
5 19
 
8.1%
4 18
 
7.7%
6 14
 
6.0%
9 11
 
4.7%
8 7
 
3.0%
Other values (2) 5
 
2.1%
Hangul
ValueCountFrequency (%)
총 1
50.0%
계 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 235
99.2%
Hangul 2
 
0.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 60
25.5%
1 29
12.3%
3 26
11.1%
2 24
 
10.2%
0 22
 
9.4%
5 19
 
8.1%
4 18
 
7.7%
6 14
 
6.0%
9 11
 
4.7%
8 7
 
3.0%
Other values (2) 5
 
2.1%
Hangul
ValueCountFrequency (%)
총 1
50.0%
계 1
50.0%

Unnamed: 5
Text

MISSING 

Distinct39
Distinct (%)62.9%
Missing2
Missing (%)3.1%
Memory size644.0 B
2024-03-14T10:11:11.967478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length3
Mean length3.7741935
Min length2

Characters and Unicode

Total characters234
Distinct characters26
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

Unique32 ?
Unique (%)51.6%

Sample

1st row종량제 방식에 의한 혼합배출
2nd row소계
3rd row731.8
4th row348.9
5th row352.2
ValueCountFrequency (%)
0.0 18
27.7%
14.0 2
 
3.1%
112.0 2
 
3.1%
155.4 2
 
3.1%
4.5 2
 
3.1%
15.9 2
 
3.1%
48.3 2
 
3.1%
12.5 1
 
1.5%
21.1 1
 
1.5%
0.9 1
 
1.5%
Other values (32) 32
49.2%
2024-03-14T10:11:12.217554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 60
25.6%
0 46
19.7%
1 26
11.1%
5 18
 
7.7%
2 15
 
6.4%
3 14
 
6.0%
4 12
 
5.1%
9 8
 
3.4%
8 7
 
3.0%
7 6
 
2.6%
Other values (16) 22
 
9.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 157
67.1%
Other Punctuation 60
 
25.6%
Other Letter 14
 
6.0%
Space Separator 3
 
1.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 1
 
7.1%
출 1
 
7.1%
한 1
 
7.1%
배 1
 
7.1%
합 1
 
7.1%
혼 1
 
7.1%
제 1
 
7.1%
의 1
 
7.1%
에 1
 
7.1%
식 1
 
7.1%
Other values (4) 4
28.6%
Decimal Number
ValueCountFrequency (%)
0 46
29.3%
1 26
16.6%
5 18
 
11.5%
2 15
 
9.6%
3 14
 
8.9%
4 12
 
7.6%
9 8
 
5.1%
8 7
 
4.5%
7 6
 
3.8%
6 5
 
3.2%
Other Punctuation
ValueCountFrequency (%)
. 60
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 220
94.0%
Hangul 14
 
6.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 1
 
7.1%
출 1
 
7.1%
한 1
 
7.1%
배 1
 
7.1%
합 1
 
7.1%
혼 1
 
7.1%
제 1
 
7.1%
의 1
 
7.1%
에 1
 
7.1%
식 1
 
7.1%
Other values (4) 4
28.6%
Common
ValueCountFrequency (%)
. 60
27.3%
0 46
20.9%
1 26
11.8%
5 18
 
8.2%
2 15
 
6.8%
3 14
 
6.4%
4 12
 
5.5%
9 8
 
3.6%
8 7
 
3.2%
7 6
 
2.7%
Other values (2) 8
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 220
94.0%
Hangul 14
 
6.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 60
27.3%
0 46
20.9%
1 26
11.8%
5 18
 
8.2%
2 15
 
6.8%
3 14
 
6.4%
4 12
 
5.5%
9 8
 
3.6%
8 7
 
3.2%
7 6
 
2.7%
Other values (2) 8
 
3.6%
Hangul
ValueCountFrequency (%)
소 1
 
7.1%
출 1
 
7.1%
한 1
 
7.1%
배 1
 
7.1%
합 1
 
7.1%
혼 1
 
7.1%
제 1
 
7.1%
의 1
 
7.1%
에 1
 
7.1%
식 1
 
7.1%
Other values (4) 4
28.6%

Unnamed: 6
Text

MISSING 

Distinct33
Distinct (%)53.2%
Missing2
Missing (%)3.1%
Memory size644.0 B
2024-03-14T10:11:12.351779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3.5483871
Min length2

Characters and Unicode

Total characters220
Distinct characters16
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)38.7%

Sample

1st row가연성
2nd row소계
3rd row592.5
4th row230.1
5th row332.1
ValueCountFrequency (%)
0.0 22
35.5%
12.6 2
 
3.2%
19.2 2
 
3.2%
32.5 2
 
3.2%
112.0 2
 
3.2%
145.0 2
 
3.2%
18.7 2
 
3.2%
134.1 2
 
3.2%
14.1 2
 
3.2%
2.5 1
 
1.6%
Other values (23) 23
37.1%
2024-03-14T10:11:12.590178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 60
27.3%
0 53
24.1%
1 28
12.7%
2 17
 
7.7%
3 15
 
6.8%
5 11
 
5.0%
4 10
 
4.5%
6 8
 
3.6%
8 5
 
2.3%
9 4
 
1.8%
Other values (6) 9
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 155
70.5%
Other Punctuation 60
 
27.3%
Other Letter 5
 
2.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 53
34.2%
1 28
18.1%
2 17
 
11.0%
3 15
 
9.7%
5 11
 
7.1%
4 10
 
6.5%
6 8
 
5.2%
8 5
 
3.2%
9 4
 
2.6%
7 4
 
2.6%
Other Letter
ValueCountFrequency (%)
가 1
20.0%
연 1
20.0%
성 1
20.0%
소 1
20.0%
계 1
20.0%
Other Punctuation
ValueCountFrequency (%)
. 60
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 215
97.7%
Hangul 5
 
2.3%

Most frequent character per script

Common
ValueCountFrequency (%)
. 60
27.9%
0 53
24.7%
1 28
13.0%
2 17
 
7.9%
3 15
 
7.0%
5 11
 
5.1%
4 10
 
4.7%
6 8
 
3.7%
8 5
 
2.3%
9 4
 
1.9%
Hangul
ValueCountFrequency (%)
가 1
20.0%
연 1
20.0%
성 1
20.0%
소 1
20.0%
계 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 215
97.7%
Hangul 5
 
2.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 60
27.9%
0 53
24.7%
1 28
13.0%
2 17
 
7.9%
3 15
 
7.0%
5 11
 
5.1%
4 10
 
4.7%
6 8
 
3.7%
8 5
 
2.3%
9 4
 
1.9%
Hangul
ValueCountFrequency (%)
가 1
20.0%
연 1
20.0%
성 1
20.0%
소 1
20.0%
계 1
20.0%

Unnamed: 7
Categorical

Distinct17
Distinct (%)26.6%
Missing0
Missing (%)0.0%
Memory size644.0 B
0.0
37 
0.9
 
3
<NA>
 
3
13.2
 
2
0.7
 
2
Other values (12)
17 

Length

Max length7
Median length3
Mean length3.21875
Min length3

Unique

Unique7 ?
Unique (%)10.9%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row음식물 채소류
5th row49.5

Common Values

ValueCountFrequency (%)
0.0 37
57.8%
0.9 3
 
4.7%
<NA> 3
 
4.7%
13.2 2
 
3.1%
0.7 2
 
3.1%
3.7 2
 
3.1%
17.1 2
 
3.1%
4.3 2
 
3.1%
4.6 2
 
3.1%
3.3 2
 
3.1%
Other values (7) 7
 
10.9%

Length

2024-03-14T10:11:12.714702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
0.0 37
56.9%
na 3
 
4.6%
0.9 3
 
4.6%
17.1 2
 
3.1%
4.6 2
 
3.1%
4.3 2
 
3.1%
3.3 2
 
3.1%
3.7 2
 
3.1%
0.7 2
 
3.1%
13.2 2
 
3.1%
Other values (8) 8
 
12.3%

Unnamed: 8
Categorical

Distinct30
Distinct (%)46.9%
Missing0
Missing (%)0.0%
Memory size644.0 B
0.0
23 
<NA>
 
3
5.8
 
2
56.0
 
2
6.8
 
2
Other values (25)
32 

Length

Max length5
Median length3
Mean length3.265625
Min length3

Unique

Unique18 ?
Unique (%)28.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row종이류
5th row210.0

Common Values

ValueCountFrequency (%)
0.0 23
35.9%
<NA> 3
 
4.7%
5.8 2
 
3.1%
56.0 2
 
3.1%
6.8 2
 
3.1%
5.5 2
 
3.1%
53.5 2
 
3.1%
2.0 2
 
3.1%
4.3 2
 
3.1%
0.9 2
 
3.1%
Other values (20) 22
34.4%

Length

2024-03-14T10:11:12.845938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
0.0 23
35.9%
na 3
 
4.7%
2.0 2
 
3.1%
43.2 2
 
3.1%
0.9 2
 
3.1%
4.3 2
 
3.1%
4.9 2
 
3.1%
53.5 2
 
3.1%
5.5 2
 
3.1%
6.8 2
 
3.1%
Other values (20) 22
34.4%

Unnamed: 9
Categorical

Distinct20
Distinct (%)31.2%
Missing0
Missing (%)0.0%
Memory size644.0 B
0.0
26 
0.4
5 
2.5
4 
<NA>
3 
0.1
3 
Other values (15)
23 

Length

Max length4
Median length3
Mean length3.078125
Min length3

Unique

Unique8 ?
Unique (%)12.5%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row나무류
5th row20.7

Common Values

ValueCountFrequency (%)
0.0 26
40.6%
0.4 5
 
7.8%
2.5 4
 
6.2%
<NA> 3
 
4.7%
0.1 3
 
4.7%
0.2 3
 
4.7%
2.6 2
 
3.1%
1.9 2
 
3.1%
1.6 2
 
3.1%
2.8 2
 
3.1%
Other values (10) 12
18.8%

Length

2024-03-14T10:11:12.942963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
0.0 26
40.6%
0.4 5
 
7.8%
2.5 4
 
6.2%
na 3
 
4.7%
0.1 3
 
4.7%
0.2 3
 
4.7%
2.8 2
 
3.1%
0.6 2
 
3.1%
3.1 2
 
3.1%
1.6 2
 
3.1%
Other values (10) 12
18.8%

Unnamed: 10
Categorical

Distinct17
Distinct (%)26.6%
Missing0
Missing (%)0.0%
Memory size644.0 B
0.0
25 
0.1
6 
1.7
6 
1.3
5 
0.2
4 
Other values (12)
18 

Length

Max length6
Median length3
Mean length3.109375
Min length3

Unique

Unique7 ?
Unique (%)10.9%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row고무 피혁류
5th row17.4

Common Values

ValueCountFrequency (%)
0.0 25
39.1%
0.1 6
 
9.4%
1.7 6
 
9.4%
1.3 5
 
7.8%
0.2 4
 
6.2%
<NA> 3
 
4.7%
1.2 2
 
3.1%
3.3 2
 
3.1%
1.6 2
 
3.1%
0.4 2
 
3.1%
Other values (7) 7
 
10.9%

Length

2024-03-14T10:11:13.036266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
0.0 25
38.5%
1.7 6
 
9.2%
0.1 6
 
9.2%
1.3 5
 
7.7%
0.2 4
 
6.2%
na 3
 
4.6%
1.6 2
 
3.1%
0.4 2
 
3.1%
3.3 2
 
3.1%
1.2 2
 
3.1%
Other values (8) 8
 
12.3%

Unnamed: 11
Categorical

Distinct29
Distinct (%)45.3%
Missing0
Missing (%)0.0%
Memory size644.0 B
0.0
23 
3.5
 
3
<NA>
 
3
0.3
 
2
34.9
 
2
Other values (24)
31 

Length

Max length6
Median length3
Mean length3.265625
Min length3

Unique

Unique17 ?
Unique (%)26.6%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row플라 스틱류
5th row148.8

Common Values

ValueCountFrequency (%)
0.0 23
35.9%
3.5 3
 
4.7%
<NA> 3
 
4.7%
0.3 2
 
3.1%
34.9 2
 
3.1%
3.9 2
 
3.1%
4.9 2
 
3.1%
35.7 2
 
3.1%
6.5 2
 
3.1%
1.0 2
 
3.1%
Other values (19) 21
32.8%

Length

2024-03-14T10:11:13.177300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
0.0 23
35.4%
na 3
 
4.6%
3.5 3
 
4.6%
35.7 2
 
3.1%
31.3 2
 
3.1%
1.0 2
 
3.1%
6.5 2
 
3.1%
5.4 2
 
3.1%
4.9 2
 
3.1%
3.9 2
 
3.1%
Other values (20) 22
33.8%

Unnamed: 12
Categorical

Distinct28
Distinct (%)43.8%
Missing0
Missing (%)0.0%
Memory size644.0 B
0.0
24 
<NA>
 
3
1.0
 
2
21.9
 
2
46.3
 
2
Other values (23)
31 

Length

Max length5
Median length3
Mean length3.25
Min length2

Unique

Unique15 ?
Unique (%)23.4%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row기타
5th row146.1

Common Values

ValueCountFrequency (%)
0.0 24
37.5%
<NA> 3
 
4.7%
1.0 2
 
3.1%
21.9 2
 
3.1%
46.3 2
 
3.1%
4.5 2
 
3.1%
2.1 2
 
3.1%
21.1 2
 
3.1%
3.5 2
 
3.1%
3.3 2
 
3.1%
Other values (18) 21
32.8%

Length

2024-03-14T10:11:13.299455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
0.0 24
37.5%
na 3
 
4.7%
21.1 2
 
3.1%
13.2 2
 
3.1%
0.3 2
 
3.1%
3.3 2
 
3.1%
3.5 2
 
3.1%
0.5 2
 
3.1%
2.1 2
 
3.1%
4.5 2
 
3.1%
Other values (18) 21
32.8%

Unnamed: 13
Categorical

Distinct21
Distinct (%)32.8%
Missing0
Missing (%)0.0%
Memory size644.0 B
0.0
28 
0.4
4 
0.3
4 
1.9
 
2
2.7
 
2
Other values (16)
24 

Length

Max length5
Median length3
Mean length3.171875
Min length2

Unique

Unique8 ?
Unique (%)12.5%

Sample

1st row<NA>
2nd row<NA>
3rd row불연성
4th row소계
5th row115.7

Common Values

ValueCountFrequency (%)
0.0 28
43.8%
0.4 4
 
6.2%
0.3 4
 
6.2%
1.9 2
 
3.1%
2.7 2
 
3.1%
61.9 2
 
3.1%
9.3 2
 
3.1%
10.4 2
 
3.1%
2.0 2
 
3.1%
1.4 2
 
3.1%
Other values (11) 14
21.9%

Length

2024-03-14T10:11:13.444274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
0.0 28
43.8%
0.3 4
 
6.2%
0.4 4
 
6.2%
2.0 2
 
3.1%
na 2
 
3.1%
15.8 2
 
3.1%
1.4 2
 
3.1%
1.0 2
 
3.1%
10.4 2
 
3.1%
9.3 2
 
3.1%
Other values (11) 14
21.9%

Unnamed: 14
Categorical

Distinct17
Distinct (%)26.6%
Missing0
Missing (%)0.0%
Memory size644.0 B
0.0
32 
0.1
7 
<NA>
 
3
24.8
 
2
1.5
 
2
Other values (12)
18 

Length

Max length4
Median length3
Mean length3.109375
Min length3

Unique

Unique6 ?
Unique (%)9.4%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row유리류
5th row35.4

Common Values

ValueCountFrequency (%)
0.0 32
50.0%
0.1 7
 
10.9%
<NA> 3
 
4.7%
24.8 2
 
3.1%
1.5 2
 
3.1%
1.1 2
 
3.1%
0.3 2
 
3.1%
2.6 2
 
3.1%
2.8 2
 
3.1%
1.0 2
 
3.1%
Other values (7) 8
 
12.5%

Length

2024-03-14T10:11:13.552641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
0.0 32
50.0%
0.1 7
 
10.9%
na 3
 
4.7%
2.6 2
 
3.1%
0.5 2
 
3.1%
1.0 2
 
3.1%
2.8 2
 
3.1%
0.3 2
 
3.1%
1.1 2
 
3.1%
1.5 2
 
3.1%
Other values (7) 8
 
12.5%

Unnamed: 15
Categorical

Distinct15
Distinct (%)23.4%
Missing0
Missing (%)0.0%
Memory size644.0 B
0.0
30 
0.1
7 
1.4
4 
<NA>
 
3
0.9
 
3
Other values (10)
17 

Length

Max length4
Median length3
Mean length3.109375
Min length3

Unique

Unique4 ?
Unique (%)6.2%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row금속류
5th row27.7

Common Values

ValueCountFrequency (%)
0.0 30
46.9%
0.1 7
 
10.9%
1.4 4
 
6.2%
<NA> 3
 
4.7%
0.9 3
 
4.7%
0.3 3
 
4.7%
0.8 2
 
3.1%
19.8 2
 
3.1%
1.2 2
 
3.1%
0.2 2
 
3.1%
Other values (5) 6
 
9.4%

Length

2024-03-14T10:11:13.646173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
0.0 30
46.9%
0.1 7
 
10.9%
1.4 4
 
6.2%
na 3
 
4.7%
0.9 3
 
4.7%
0.3 3
 
4.7%
0.8 2
 
3.1%
19.8 2
 
3.1%
1.2 2
 
3.1%
0.2 2
 
3.1%
Other values (5) 6
 
9.4%

Unnamed: 16
Categorical

Distinct12
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Memory size644.0 B
0.0
38 
0.2
7 
1.1
4 
<NA>
 
3
7.4
 
2
Other values (7)
10 

Length

Max length4
Median length3
Mean length3.078125
Min length3

Unique

Unique4 ?
Unique (%)6.2%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row토사류
5th row13.6

Common Values

ValueCountFrequency (%)
0.0 38
59.4%
0.2 7
 
10.9%
1.1 4
 
6.2%
<NA> 3
 
4.7%
7.4 2
 
3.1%
0.5 2
 
3.1%
0.1 2
 
3.1%
2.6 2
 
3.1%
토사류 1
 
1.6%
13.6 1
 
1.6%
Other values (2) 2
 
3.1%

Length

2024-03-14T10:11:13.762675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
0.0 38
59.4%
0.2 7
 
10.9%
1.1 4
 
6.2%
na 3
 
4.7%
7.4 2
 
3.1%
0.5 2
 
3.1%
0.1 2
 
3.1%
2.6 2
 
3.1%
토사류 1
 
1.6%
13.6 1
 
1.6%
Other values (2) 2
 
3.1%

Unnamed: 17
Categorical

Distinct17
Distinct (%)26.6%
Missing0
Missing (%)0.0%
Memory size644.0 B
0.0
34 
0.1
4 
<NA>
 
3
3.2
 
2
0.6
 
2
Other values (12)
19 

Length

Max length4
Median length3
Mean length3.09375
Min length2

Unique

Unique5 ?
Unique (%)7.8%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row기타
5th row39.0

Common Values

ValueCountFrequency (%)
0.0 34
53.1%
0.1 4
 
6.2%
<NA> 3
 
4.7%
3.2 2
 
3.1%
0.6 2
 
3.1%
9.9 2
 
3.1%
6.1 2
 
3.1%
3.8 2
 
3.1%
0.5 2
 
3.1%
0.4 2
 
3.1%
Other values (7) 9
 
14.1%

Length

2024-03-14T10:11:13.888889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
0.0 34
53.1%
0.1 4
 
6.2%
na 3
 
4.7%
3.8 2
 
3.1%
11.6 2
 
3.1%
0.2 2
 
3.1%
0.4 2
 
3.1%
0.5 2
 
3.1%
6.1 2
 
3.1%
9.9 2
 
3.1%
Other values (7) 9
 
14.1%

Unnamed: 18
Categorical

IMBALANCE 

Distinct12
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Memory size644.0 B
0.0
46 
0.2
 
4
<NA>
 
3
0.8
 
2
3.2
 
2
Other values (7)
7 

Length

Max length10
Median length3
Mean length3.21875
Min length3

Unique

Unique7 ?
Unique (%)10.9%

Sample

1st row<NA>
2nd row<NA>
3rd row기타 (배출불명등)
4th row<NA>
5th row23.6

Common Values

ValueCountFrequency (%)
0.0 46
71.9%
0.2 4
 
6.2%
<NA> 3
 
4.7%
0.8 2
 
3.1%
3.2 2
 
3.1%
기타 (배출불명등) 1
 
1.6%
23.6 1
 
1.6%
6.2 1
 
1.6%
17.4 1
 
1.6%
19.2 1
 
1.6%
Other values (2) 2
 
3.1%

Length

2024-03-14T10:11:14.016915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
0.0 46
70.8%
0.2 4
 
6.2%
na 3
 
4.6%
0.8 2
 
3.1%
3.2 2
 
3.1%
기타 1
 
1.5%
배출불명등 1
 
1.5%
23.6 1
 
1.5%
6.2 1
 
1.5%
17.4 1
 
1.5%
Other values (3) 3
 
4.6%

Unnamed: 19
Categorical

Distinct19
Distinct (%)29.7%
Missing0
Missing (%)0.0%
Memory size644.0 B
0.0
30 
<NA>
 
2
6.0
 
2
305.8
 
2
155.6
 
2
Other values (14)
26 

Length

Max length12
Median length3
Mean length3.4375
Min length2

Unique

Unique2 ?
Unique (%)3.1%

Sample

1st row<NA>
2nd row재활용가능자원 분리배출
3rd row소계
4th row<NA>
5th row305.8

Common Values

ValueCountFrequency (%)
0.0 30
46.9%
<NA> 2
 
3.1%
6.0 2
 
3.1%
305.8 2
 
3.1%
155.6 2
 
3.1%
13.3 2
 
3.1%
30.4 2
 
3.1%
7.6 2
 
3.1%
23.4 2
 
3.1%
5.4 2
 
3.1%
Other values (9) 16
25.0%

Length

2024-03-14T10:11:14.121603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
0.0 30
46.2%
5.4 2
 
3.1%
22.9 2
 
3.1%
19.5 2
 
3.1%
2.9 2
 
3.1%
5.3 2
 
3.1%
6.4 2
 
3.1%
5.1 2
 
3.1%
na 2
 
3.1%
2.0 2
 
3.1%
Other values (10) 17
26.2%

Unnamed: 20
Categorical

Distinct15
Distinct (%)23.4%
Missing0
Missing (%)0.0%
Memory size644.0 B
0.0
32 
0.7
6 
<NA>
 
3
96.3
 
2
76.5
 
2
Other values (10)
19 

Length

Max length4
Median length3
Mean length3.109375
Min length3

Unique

Unique1 ?
Unique (%)1.6%

Sample

1st row<NA>
2nd row<NA>
3rd row종이류
4th row<NA>
5th row96.3

Common Values

ValueCountFrequency (%)
0.0 32
50.0%
0.7 6
 
9.4%
<NA> 3
 
4.7%
96.3 2
 
3.1%
76.5 2
 
3.1%
1.3 2
 
3.1%
1.0 2
 
3.1%
0.5 2
 
3.1%
8.6 2
 
3.1%
3.7 2
 
3.1%
Other values (5) 9
 
14.1%

Length

2024-03-14T10:11:14.207701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
0.0 32
50.0%
0.7 6
 
9.4%
na 3
 
4.7%
96.3 2
 
3.1%
76.5 2
 
3.1%
1.3 2
 
3.1%
1.0 2
 
3.1%
0.5 2
 
3.1%
8.6 2
 
3.1%
3.7 2
 
3.1%
Other values (5) 9
 
14.1%

Unnamed: 21
Categorical

Distinct16
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Memory size644.0 B
0.0
30 
0.8
4 
0.4
4 
<NA>
 
3
24.1
 
2
Other values (11)
21 

Length

Max length4
Median length3
Mean length3.09375
Min length3

Unique

Unique1 ?
Unique (%)1.6%

Sample

1st row<NA>
2nd row<NA>
3rd row유리병류
4th row<NA>
5th row24.1

Common Values

ValueCountFrequency (%)
0.0 30
46.9%
0.8 4
 
6.2%
0.4 4
 
6.2%
<NA> 3
 
4.7%
24.1 2
 
3.1%
6.7 2
 
3.1%
3.2 2
 
3.1%
3.7 2
 
3.1%
0.6 2
 
3.1%
2.5 2
 
3.1%
Other values (6) 11
 
17.2%

Length

2024-03-14T10:11:14.296833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
0.0 30
46.9%
0.8 4
 
6.2%
0.4 4
 
6.2%
na 3
 
4.7%
24.1 2
 
3.1%
6.7 2
 
3.1%
3.2 2
 
3.1%
3.7 2
 
3.1%
0.6 2
 
3.1%
2.5 2
 
3.1%
Other values (6) 11
 
17.2%

Unnamed: 22
Categorical

Distinct12
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Memory size644.0 B
0.0
30 
0.2
10 
0.5
4 
0.4
4 
<NA>
 
3
Other values (7)
13 

Length

Max length4
Median length3
Mean length3.03125
Min length2

Unique

Unique1 ?
Unique (%)1.6%

Sample

1st row<NA>
2nd row<NA>
3rd row캔류
4th row<NA>
5th row5.7

Common Values

ValueCountFrequency (%)
0.0 30
46.9%
0.2 10
 
15.6%
0.5 4
 
6.2%
0.4 4
 
6.2%
<NA> 3
 
4.7%
5.7 2
 
3.1%
1.2 2
 
3.1%
0.7 2
 
3.1%
0.6 2
 
3.1%
0.3 2
 
3.1%
Other values (2) 3
 
4.7%

Length

2024-03-14T10:11:14.398850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
0.0 30
46.9%
0.2 10
 
15.6%
0.5 4
 
6.2%
0.4 4
 
6.2%
na 3
 
4.7%
5.7 2
 
3.1%
1.2 2
 
3.1%
0.7 2
 
3.1%
0.6 2
 
3.1%
0.3 2
 
3.1%
Other values (2) 3
 
4.7%

Unnamed: 23
Categorical

Distinct12
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Memory size644.0 B
0.0
36 
0.1
6 
0.6
4 
<NA>
 
3
19.2
 
2
Other values (7)
13 

Length

Max length6
Median length3
Mean length3.125
Min length3

Unique

Unique1 ?
Unique (%)1.6%

Sample

1st row<NA>
2nd row<NA>
3rd row합성 수지류
4th row<NA>
5th row19.2

Common Values

ValueCountFrequency (%)
0.0 36
56.2%
0.1 6
 
9.4%
0.6 4
 
6.2%
<NA> 3
 
4.7%
19.2 2
 
3.1%
5.3 2
 
3.1%
3.3 2
 
3.1%
6.3 2
 
3.1%
2.3 2
 
3.1%
0.2 2
 
3.1%
Other values (2) 3
 
4.7%

Length

2024-03-14T10:11:14.504696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
0.0 36
55.4%
0.1 6
 
9.2%
0.6 4
 
6.2%
na 3
 
4.6%
19.2 2
 
3.1%
5.3 2
 
3.1%
3.3 2
 
3.1%
6.3 2
 
3.1%
2.3 2
 
3.1%
0.2 2
 
3.1%
Other values (3) 4
 
6.2%

Unnamed: 24
Categorical

Distinct13
Distinct (%)20.3%
Missing0
Missing (%)0.0%
Memory size644.0 B
0.0
32 
0.4
6 
2.9
4 
0.8
4 
<NA>
 
3
Other values (8)
15 

Length

Max length6
Median length3
Mean length3.15625
Min length3

Unique

Unique1 ?
Unique (%)1.6%

Sample

1st row<NA>
2nd row<NA>
3rd row플라 스틱류
4th row<NA>
5th row62.5

Common Values

ValueCountFrequency (%)
0.0 32
50.0%
0.4 6
 
9.4%
2.9 4
 
6.2%
0.8 4
 
6.2%
<NA> 3
 
4.7%
62.5 2
 
3.1%
46.4 2
 
3.1%
3.8 2
 
3.1%
0.7 2
 
3.1%
0.3 2
 
3.1%
Other values (3) 5
 
7.8%

Length

2024-03-14T10:11:14.613163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
0.0 32
49.2%
0.4 6
 
9.2%
2.9 4
 
6.2%
0.8 4
 
6.2%
na 3
 
4.6%
62.5 2
 
3.1%
46.4 2
 
3.1%
3.8 2
 
3.1%
0.7 2
 
3.1%
0.3 2
 
3.1%
Other values (4) 6
 
9.2%

Unnamed: 25
Categorical

Distinct10
Distinct (%)15.6%
Missing0
Missing (%)0.0%
Memory size644.0 B
0.0
42 
0.1
6 
<NA>
 
3
2.4
 
2
0.7
 
2
Other values (5)
9 

Length

Max length6
Median length3
Mean length3.09375
Min length3

Unique

Unique1 ?
Unique (%)1.6%

Sample

1st row<NA>
2nd row<NA>
3rd row발포 수지류
4th row<NA>
5th row2.4

Common Values

ValueCountFrequency (%)
0.0 42
65.6%
0.1 6
 
9.4%
<NA> 3
 
4.7%
2.4 2
 
3.1%
0.7 2
 
3.1%
0.5 2
 
3.1%
0.4 2
 
3.1%
0.2 2
 
3.1%
0.3 2
 
3.1%
발포 수지류 1
 
1.6%

Length

2024-03-14T10:11:14.729571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:11:14.828769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 42
64.6%
0.1 6
 
9.2%
na 3
 
4.6%
2.4 2
 
3.1%
0.7 2
 
3.1%
0.5 2
 
3.1%
0.4 2
 
3.1%
0.2 2
 
3.1%
0.3 2
 
3.1%
발포 1
 
1.5%

Unnamed: 26
Categorical

Distinct11
Distinct (%)17.2%
Missing0
Missing (%)0.0%
Memory size644.0 B
0.0
40 
0.4
6 
<NA>
 
3
4.0
 
2
0.3
 
2
Other values (6)
11 

Length

Max length4
Median length3
Mean length3.0625
Min length3

Unique

Unique1 ?
Unique (%)1.6%

Sample

1st row<NA>
2nd row<NA>
3rd row전자제품
4th row<NA>
5th row4.0

Common Values

ValueCountFrequency (%)
0.0 40
62.5%
0.4 6
 
9.4%
<NA> 3
 
4.7%
4.0 2
 
3.1%
0.3 2
 
3.1%
1.0 2
 
3.1%
0.2 2
 
3.1%
0.5 2
 
3.1%
0.7 2
 
3.1%
0.1 2
 
3.1%

Length

2024-03-14T10:11:14.939495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
0.0 40
62.5%
0.4 6
 
9.4%
na 3
 
4.7%
4.0 2
 
3.1%
0.3 2
 
3.1%
1.0 2
 
3.1%
0.2 2
 
3.1%
0.5 2
 
3.1%
0.7 2
 
3.1%
0.1 2
 
3.1%

Unnamed: 27
Categorical

IMBALANCE 

Distinct5
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Memory size644.0 B
0.0
50 
0.1
8 
<NA>
 
3
0.4
 
2
전지류
 
1

Length

Max length4
Median length3
Mean length3.046875
Min length3

Unique

Unique1 ?
Unique (%)1.6%

Sample

1st row<NA>
2nd row<NA>
3rd row전지류
4th row<NA>
5th row0.4

Common Values

ValueCountFrequency (%)
0.0 50
78.1%
0.1 8
 
12.5%
<NA> 3
 
4.7%
0.4 2
 
3.1%
전지류 1
 
1.6%

Length

2024-03-14T10:11:15.035982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:11:15.120187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 50
78.1%
0.1 8
 
12.5%
na 3
 
4.7%
0.4 2
 
3.1%
전지류 1
 
1.6%

Unnamed: 28
Categorical

IMBALANCE 

Distinct6
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size644.0 B
0.0
54 
<NA>
 
3
0.6
 
2
0.5
 
2
0.1
 
2

Length

Max length4
Median length3
Mean length3.046875
Min length3

Unique

Unique1 ?
Unique (%)1.6%

Sample

1st row<NA>
2nd row<NA>
3rd row타이어
4th row<NA>
5th row0.6

Common Values

ValueCountFrequency (%)
0.0 54
84.4%
<NA> 3
 
4.7%
0.6 2
 
3.1%
0.5 2
 
3.1%
0.1 2
 
3.1%
타이어 1
 
1.6%

Length

2024-03-14T10:11:15.217470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:11:15.309493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 54
84.4%
na 3
 
4.7%
0.6 2
 
3.1%
0.5 2
 
3.1%
0.1 2
 
3.1%
타이어 1
 
1.6%

Unnamed: 29
Categorical

IMBALANCE 

Distinct3
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size644.0 B
0.0
60 
<NA>
 
3
윤활유
 
1

Length

Max length4
Median length3
Mean length3.046875
Min length3

Unique

Unique1 ?
Unique (%)1.6%

Sample

1st row<NA>
2nd row<NA>
3rd row윤활유
4th row<NA>
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 60
93.8%
<NA> 3
 
4.7%
윤활유 1
 
1.6%

Length

2024-03-14T10:11:15.410664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:11:15.497035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 60
93.8%
na 3
 
4.7%
윤활유 1
 
1.6%

Unnamed: 30
Categorical

Distinct9
Distinct (%)14.1%
Missing0
Missing (%)0.0%
Memory size644.0 B
0.0
44 
0.2
 
4
0.1
 
4
<NA>
 
3
2.8
 
2
Other values (4)
7 

Length

Max length4
Median length3
Mean length3.046875
Min length3

Unique

Unique1 ?
Unique (%)1.6%

Sample

1st row<NA>
2nd row<NA>
3rd row형광등
4th row<NA>
5th row2.8

Common Values

ValueCountFrequency (%)
0.0 44
68.8%
0.2 4
 
6.2%
0.1 4
 
6.2%
<NA> 3
 
4.7%
2.8 2
 
3.1%
0.5 2
 
3.1%
0.3 2
 
3.1%
1.4 2
 
3.1%
형광등 1
 
1.6%

Length

2024-03-14T10:11:15.604244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:11:15.737129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 44
68.8%
0.2 4
 
6.2%
0.1 4
 
6.2%
na 3
 
4.7%
2.8 2
 
3.1%
0.5 2
 
3.1%
0.3 2
 
3.1%
1.4 2
 
3.1%
형광등 1
 
1.6%

Unnamed: 31
Categorical

Distinct12
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Memory size644.0 B
0.0
36 
0.1
6 
0.4
4 
<NA>
 
3
11.6
 
2
Other values (7)
13 

Length

Max length4
Median length3
Mean length3.078125
Min length3

Unique

Unique1 ?
Unique (%)1.6%

Sample

1st row<NA>
2nd row<NA>
3rd row고철류
4th row<NA>
5th row11.6

Common Values

ValueCountFrequency (%)
0.0 36
56.2%
0.1 6
 
9.4%
0.4 4
 
6.2%
<NA> 3
 
4.7%
11.6 2
 
3.1%
1.1 2
 
3.1%
0.7 2
 
3.1%
0.6 2
 
3.1%
6.7 2
 
3.1%
0.5 2
 
3.1%
Other values (2) 3
 
4.7%

Length

2024-03-14T10:11:15.835267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
0.0 36
56.2%
0.1 6
 
9.4%
0.4 4
 
6.2%
na 3
 
4.7%
11.6 2
 
3.1%
1.1 2
 
3.1%
0.7 2
 
3.1%
0.6 2
 
3.1%
6.7 2
 
3.1%
0.5 2
 
3.1%
Other values (2) 3
 
4.7%

Unnamed: 32
Categorical

IMBALANCE 

Distinct7
Distinct (%)10.9%
Missing0
Missing (%)0.0%
Memory size644.0 B
0.0
52 
<NA>
 
3
2.9
 
2
2.1
 
2
0.1
 
2
Other values (2)
 
3

Length

Max length4
Median length3
Mean length3.03125
Min length2

Unique

Unique1 ?
Unique (%)1.6%

Sample

1st row<NA>
2nd row<NA>
3rd row의류
4th row<NA>
5th row2.9

Common Values

ValueCountFrequency (%)
0.0 52
81.2%
<NA> 3
 
4.7%
2.9 2
 
3.1%
2.1 2
 
3.1%
0.1 2
 
3.1%
0.7 2
 
3.1%
의류 1
 
1.6%

Length

2024-03-14T10:11:15.956018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:11:16.071198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 52
81.2%
na 3
 
4.7%
2.9 2
 
3.1%
2.1 2
 
3.1%
0.1 2
 
3.1%
0.7 2
 
3.1%
의류 1
 
1.6%

Unnamed: 33
Categorical

Distinct13
Distinct (%)20.3%
Missing0
Missing (%)0.0%
Memory size644.0 B
0.0
34 
0.2
4 
2.1
4 
1.4
4 
<NA>
 
3
Other values (8)
15 

Length

Max length6
Median length3
Mean length3.15625
Min length3

Unique

Unique1 ?
Unique (%)1.6%

Sample

1st row<NA>
2nd row<NA>
3rd row영농 폐기물
4th row<NA>
5th row39.0

Common Values

ValueCountFrequency (%)
0.0 34
53.1%
0.2 4
 
6.2%
2.1 4
 
6.2%
1.4 4
 
6.2%
<NA> 3
 
4.7%
39.0 2
 
3.1%
5.2 2
 
3.1%
4.0 2
 
3.1%
4.3 2
 
3.1%
0.9 2
 
3.1%
Other values (3) 5
 
7.8%

Length

2024-03-14T10:11:16.170059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
0.0 34
52.3%
0.2 4
 
6.2%
2.1 4
 
6.2%
1.4 4
 
6.2%
na 3
 
4.6%
39.0 2
 
3.1%
5.2 2
 
3.1%
4.0 2
 
3.1%
4.3 2
 
3.1%
0.9 2
 
3.1%
Other values (4) 6
 
9.2%

Unnamed: 34
Categorical

Distinct11
Distinct (%)17.2%
Missing0
Missing (%)0.0%
Memory size644.0 B
0.0
44 
<NA>
 
3
18.5
 
2
1.8
 
2
12.6
 
2
Other values (6)
11 

Length

Max length4
Median length3
Mean length3.109375
Min length3

Unique

Unique1 ?
Unique (%)1.6%

Sample

1st row<NA>
2nd row<NA>
3rd row가구류
4th row<NA>
5th row18.5

Common Values

ValueCountFrequency (%)
0.0 44
68.8%
<NA> 3
 
4.7%
18.5 2
 
3.1%
1.8 2
 
3.1%
12.6 2
 
3.1%
1.6 2
 
3.1%
0.7 2
 
3.1%
0.1 2
 
3.1%
0.9 2
 
3.1%
0.8 2
 
3.1%

Length

2024-03-14T10:11:16.263090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
0.0 44
68.8%
na 3
 
4.7%
18.5 2
 
3.1%
1.8 2
 
3.1%
12.6 2
 
3.1%
1.6 2
 
3.1%
0.7 2
 
3.1%
0.1 2
 
3.1%
0.9 2
 
3.1%
0.8 2
 
3.1%

Unnamed: 35
Categorical

IMBALANCE 

Distinct3
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size644.0 B
0.0
60 
<NA>
 
3
폐식용유
 
1

Length

Max length4
Median length3
Mean length3.0625
Min length3

Unique

Unique1 ?
Unique (%)1.6%

Sample

1st row<NA>
2nd row<NA>
3rd row폐식용유
4th row<NA>
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 60
93.8%
<NA> 3
 
4.7%
폐식용유 1
 
1.6%

Length

2024-03-14T10:11:16.373818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:11:16.457418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 60
93.8%
na 3
 
4.7%
폐식용유 1
 
1.6%

Unnamed: 36
Categorical

Distinct9
Distinct (%)14.1%
Missing0
Missing (%)0.0%
Memory size644.0 B
0.0
46 
0.1
 
4
<NA>
 
3
15.8
 
2
12.6
 
2
Other values (4)
7 

Length

Max length4
Median length3
Mean length3.09375
Min length2

Unique

Unique1 ?
Unique (%)1.6%

Sample

1st row<NA>
2nd row<NA>
3rd row기타
4th row<NA>
5th row15.8

Common Values

ValueCountFrequency (%)
0.0 46
71.9%
0.1 4
 
6.2%
<NA> 3
 
4.7%
15.8 2
 
3.1%
12.6 2
 
3.1%
1.5 2
 
3.1%
1.3 2
 
3.1%
0.2 2
 
3.1%
기타 1
 
1.6%

Length

2024-03-14T10:11:16.547399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:11:16.648714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 46
71.9%
0.1 4
 
6.2%
na 3
 
4.7%
15.8 2
 
3.1%
12.6 2
 
3.1%
1.5 2
 
3.1%
1.3 2
 
3.1%
0.2 2
 
3.1%
기타 1
 
1.6%

Unnamed: 37
Categorical

Distinct28
Distinct (%)43.8%
Missing0
Missing (%)0.0%
Memory size644.0 B
0.0
22 
<NA>
 
3
18.3
 
2
0.3
 
2
270.5
 
2
Other values (23)
33 

Length

Max length13
Median length3
Mean length3.546875
Min length3

Unique

Unique13 ?
Unique (%)20.3%

Sample

1st row<NA>
2nd row음식물류 폐기물 분리배출
3rd row<NA>
4th row<NA>
5th row578.0

Common Values

ValueCountFrequency (%)
0.0 22
34.4%
<NA> 3
 
4.7%
18.3 2
 
3.1%
0.3 2
 
3.1%
270.5 2
 
3.1%
92.0 2
 
3.1%
3.6 2
 
3.1%
13.6 2
 
3.1%
92.7 2
 
3.1%
25.8 2
 
3.1%
Other values (18) 23
35.9%

Length

2024-03-14T10:11:16.761976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
0.0 22
33.3%
na 3
 
4.5%
92.7 2
 
3.0%
1.7 2
 
3.0%
23.9 2
 
3.0%
14.7 2
 
3.0%
1.9 2
 
3.0%
25.8 2
 
3.0%
4.0 2
 
3.0%
13.6 2
 
3.0%
Other values (20) 25
37.9%

Sample

생활 폐기물 발생 및 처리현황 (2017년 말 기준)Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10Unnamed: 11Unnamed: 12Unnamed: 13Unnamed: 14Unnamed: 15Unnamed: 16Unnamed: 17Unnamed: 18Unnamed: 19Unnamed: 20Unnamed: 21Unnamed: 22Unnamed: 23Unnamed: 24Unnamed: 25Unnamed: 26Unnamed: 27Unnamed: 28Unnamed: 29Unnamed: 30Unnamed: 31Unnamed: 32Unnamed: 33Unnamed: 34Unnamed: 35Unnamed: 36Unnamed: 37
0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1구분<NA>발생량 및 처리현황<NA>총계종량제 방식에 의한 혼합배출<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>재활용가능자원 분리배출<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>음식물류 폐기물 분리배출
2<NA><NA><NA><NA><NA>소계가연성<NA><NA><NA><NA><NA><NA>불연성<NA><NA><NA><NA>기타 (배출불명등)소계종이류유리병류캔류합성 수지류플라 스틱류발포 수지류전자제품전지류타이어윤활유형광등고철류의류영농 폐기물가구류폐식용유기타<NA>
3시도시군구<NA><NA><NA><NA>소계음식물 채소류종이류나무류고무 피혁류플라 스틱류기타소계유리류금속류토사류기타<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4전북소계발생량<NA>1,615.6731.8592.549.5210.020.717.4148.8146.1115.735.427.713.639.023.6305.896.324.15.719.262.52.44.00.40.60.02.811.62.939.018.50.015.8578.0
5<NA><NA>처리방법매립353.9348.9230.113.371.47.39.255.473.5112.634.026.813.438.46.20.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.05.0
6<NA><NA><NA>소각352.5352.2332.134.6128.311.46.985.965.02.71.10.80.20.617.40.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.3
7<NA><NA><NA>재활용909.230.730.31.610.32.01.37.57.60.40.30.10.00.00.0305.896.324.15.719.262.52.44.00.40.60.02.811.62.939.018.50.015.8572.7
8전북전주시발생량<NA>641.3215.2134.117.156.02.51.734.921.961.924.819.87.49.919.2155.676.56.71.25.346.40.70.40.10.00.00.51.12.10.21.80.012.6270.5
9<NA><NA>처리방법매립63.963.90.00.00.00.00.00.00.061.924.819.87.49.92.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0
생활 폐기물 발생 및 처리현황 (2017년 말 기준)Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10Unnamed: 11Unnamed: 12Unnamed: 13Unnamed: 14Unnamed: 15Unnamed: 16Unnamed: 17Unnamed: 18Unnamed: 19Unnamed: 20Unnamed: 21Unnamed: 22Unnamed: 23Unnamed: 24Unnamed: 25Unnamed: 26Unnamed: 27Unnamed: 28Unnamed: 29Unnamed: 30Unnamed: 31Unnamed: 32Unnamed: 33Unnamed: 34Unnamed: 35Unnamed: 36Unnamed: 37
54<NA><NA><NA>소각4.54.54.50.01.00.20.11.41.80.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0
55<NA><NA><NA>재활용6.90.00.00.00.00.00.00.00.00.00.00.00.00.00.02.90.00.20.10.30.00.00.00.00.00.00.00.00.01.40.90.00.04.0
56전북고창군발생량<NA>50.115.914.13.34.90.10.15.40.31.00.00.90.00.10.819.50.10.90.20.60.40.00.40.00.10.00.00.00.016.00.80.00.014.7
57<NA><NA>처리방법매립15.915.914.13.34.90.10.15.40.31.00.00.90.00.10.80.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0
58<NA><NA><NA>소각0.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0
59<NA><NA><NA>재활용34.20.00.00.00.00.00.00.00.00.00.00.00.00.00.019.50.10.90.20.60.40.00.40.00.10.00.00.00.016.00.80.00.014.7
60전북부안군발생량<NA>44.331.218.70.76.81.61.23.94.59.31.51.42.63.83.26.00.41.30.20.11.60.10.00.00.00.00.00.10.02.10.00.00.17.1
61<NA><NA>처리방법매립13.112.50.00.00.00.00.00.00.09.31.51.42.63.83.20.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.6
62<NA><NA><NA>소각0.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0
63<NA><NA><NA>재활용31.218.718.70.76.81.61.23.94.50.00.00.00.00.00.06.00.41.30.20.11.60.10.00.00.00.00.00.10.02.10.00.00.16.5

Duplicate rows

Most frequently occurring

생활 폐기물 발생 및 처리현황 (2017년 말 기준)Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10Unnamed: 11Unnamed: 12Unnamed: 13Unnamed: 14Unnamed: 15Unnamed: 16Unnamed: 17Unnamed: 18Unnamed: 19Unnamed: 20Unnamed: 21Unnamed: 22Unnamed: 23Unnamed: 24Unnamed: 25Unnamed: 26Unnamed: 27Unnamed: 28Unnamed: 29Unnamed: 30Unnamed: 31Unnamed: 32Unnamed: 33Unnamed: 34Unnamed: 35Unnamed: 36Unnamed: 37# duplicates
0<NA><NA><NA>소각0.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.06