Overview

Dataset statistics

Number of variables14
Number of observations34
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.8 KiB
Average record size in memory115.9 B

Variable types

Text12
Categorical2

Dataset

Description양주시시설관리공단 재활용센터에서 분류처리한 재활용품의 매각품목별 반출 현황의 관한 18년 1월부터 20년10월까지의 자료
Author양주시시설관리공단
URLhttps://www.data.go.kr/data/15073753/fileData.do

Alerts

PS(단위:kg) is highly overall correlated with 공병(단위:kg)High correlation
공병(단위:kg) is highly overall correlated with PS(단위:kg)High correlation
PS(단위:kg) is highly imbalanced (75.9%)Imbalance
공병(단위:kg) is highly imbalanced (71.5%)Imbalance
기간 has unique valuesUnique
PP(단위:kg) has unique valuesUnique
PE(단위:kg) has unique valuesUnique
갈색파병(단위:kg) has unique valuesUnique

Reproduction

Analysis started2023-12-12 05:35:17.948901
Analysis finished2023-12-12 05:35:18.993845
Duration1.04 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기간
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-12T14:35:19.097284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length8.2058824
Min length8

Characters and Unicode

Total characters279
Distinct characters13
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

Unique34 ?
Unique (%)100.0%

Sample

1st row2018년 1월
2nd row2018년 2월
3rd row2018년 3월
4th row2018년 4월
5th row2018년 5월
ValueCountFrequency (%)
2018년 12
17.6%
2019년 12
17.6%
2020년 10
14.7%
1월 3
 
4.4%
10월 3
 
4.4%
4월 3
 
4.4%
3월 3
 
4.4%
2월 3
 
4.4%
9월 3
 
4.4%
8월 3
 
4.4%
Other values (5) 13
19.1%
2023-12-12T14:35:19.409860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 49
17.6%
0 47
16.8%
1 36
12.9%
년 34
12.2%
34
12.2%
월 34
12.2%
8 15
 
5.4%
9 15
 
5.4%
4 3
 
1.1%
3 3
 
1.1%
Other values (3) 9
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 177
63.4%
Other Letter 68
 
24.4%
Space Separator 34
 
12.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 49
27.7%
0 47
26.6%
1 36
20.3%
8 15
 
8.5%
9 15
 
8.5%
4 3
 
1.7%
3 3
 
1.7%
7 3
 
1.7%
6 3
 
1.7%
5 3
 
1.7%
Other Letter
ValueCountFrequency (%)
년 34
50.0%
월 34
50.0%
Space Separator
ValueCountFrequency (%)
34
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 211
75.6%
Hangul 68
 
24.4%

Most frequent character per script

Common
ValueCountFrequency (%)
2 49
23.2%
0 47
22.3%
1 36
17.1%
34
16.1%
8 15
 
7.1%
9 15
 
7.1%
4 3
 
1.4%
3 3
 
1.4%
7 3
 
1.4%
6 3
 
1.4%
Hangul
ValueCountFrequency (%)
년 34
50.0%
월 34
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 211
75.6%
Hangul 68
 
24.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 49
23.2%
0 47
22.3%
1 36
17.1%
34
16.1%
8 15
 
7.1%
9 15
 
7.1%
4 3
 
1.4%
3 3
 
1.4%
7 3
 
1.4%
6 3
 
1.4%
Hangul
ValueCountFrequency (%)
년 34
50.0%
월 34
50.0%

파지류(단위:kg)
Text

Distinct28
Distinct (%)82.4%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-12T14:35:19.580114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length5.5588235
Min length3

Characters and Unicode

Total characters189
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)76.5%

Sample

1st row16,740
2nd row14,130
3rd row8,820
4th row -
5th row18,210
ValueCountFrequency (%)
8
23.5%
31,570 1
 
2.9%
16,740 1
 
2.9%
27,150 1
 
2.9%
28,750 1
 
2.9%
15,340 1
 
2.9%
17,600 1
 
2.9%
62,260 1
 
2.9%
7,760 1
 
2.9%
24,760 1
 
2.9%
Other values (17) 17
50.0%
2023-12-12T14:35:19.913642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
28
14.8%
0 28
14.8%
, 26
13.8%
2 17
9.0%
1 17
9.0%
3 12
6.3%
7 12
6.3%
6 10
 
5.3%
4 10
 
5.3%
8 9
 
4.8%
Other values (3) 20
10.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 127
67.2%
Space Separator 28
 
14.8%
Other Punctuation 26
 
13.8%
Dash Punctuation 8
 
4.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 28
22.0%
2 17
13.4%
1 17
13.4%
3 12
9.4%
7 12
9.4%
6 10
 
7.9%
4 10
 
7.9%
8 9
 
7.1%
5 8
 
6.3%
9 4
 
3.1%
Space Separator
ValueCountFrequency (%)
28
100.0%
Other Punctuation
ValueCountFrequency (%)
, 26
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 189
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
28
14.8%
0 28
14.8%
, 26
13.8%
2 17
9.0%
1 17
9.0%
3 12
6.3%
7 12
6.3%
6 10
 
5.3%
4 10
 
5.3%
8 9
 
4.8%
Other values (3) 20
10.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 189
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
28
14.8%
0 28
14.8%
, 26
13.8%
2 17
9.0%
1 17
9.0%
3 12
6.3%
7 12
6.3%
6 10
 
5.3%
4 10
 
5.3%
8 9
 
4.8%
Other values (3) 20
10.6%

PP(단위:kg)
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-12T14:35:20.150860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length5.5882353
Min length3

Characters and Unicode

Total characters190
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique34 ?
Unique (%)100.0%

Sample

1st row20,200
2nd row4,520
3rd row11,930
4th row15,750
5th row14,940
ValueCountFrequency (%)
2
 
5.9%
20,200 1
 
2.9%
11,590 1
 
2.9%
18,500 1
 
2.9%
6,880 1
 
2.9%
12,470 1
 
2.9%
16,980 1
 
2.9%
10,970 1
 
2.9%
4,520 1
 
2.9%
6,130 1
 
2.9%
Other values (23) 23
67.6%
2023-12-12T14:35:20.499879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 44
23.2%
, 32
16.8%
1 30
15.8%
5 14
 
7.4%
7 12
 
6.3%
2 10
 
5.3%
9 10
 
5.3%
8 9
 
4.7%
6 8
 
4.2%
3 8
 
4.2%
Other values (3) 13
 
6.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 150
78.9%
Other Punctuation 32
 
16.8%
Space Separator 6
 
3.2%
Dash Punctuation 2
 
1.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 44
29.3%
1 30
20.0%
5 14
 
9.3%
7 12
 
8.0%
2 10
 
6.7%
9 10
 
6.7%
8 9
 
6.0%
6 8
 
5.3%
3 8
 
5.3%
4 5
 
3.3%
Other Punctuation
ValueCountFrequency (%)
, 32
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 190
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 44
23.2%
, 32
16.8%
1 30
15.8%
5 14
 
7.4%
7 12
 
6.3%
2 10
 
5.3%
9 10
 
5.3%
8 9
 
4.7%
6 8
 
4.2%
3 8
 
4.2%
Other values (3) 13
 
6.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 190
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 44
23.2%
, 32
16.8%
1 30
15.8%
5 14
 
7.4%
7 12
 
6.3%
2 10
 
5.3%
9 10
 
5.3%
8 9
 
4.7%
6 8
 
4.2%
3 8
 
4.2%
Other values (3) 13
 
6.8%

PE(단위:kg)
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-12T14:35:20.709444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length5.3235294
Min length3

Characters and Unicode

Total characters181
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique34 ?
Unique (%)100.0%

Sample

1st row10,840
2nd row4,740
3rd row8,840
4th row9,630
5th row6,600
ValueCountFrequency (%)
2
 
5.9%
10,840 1
 
2.9%
6,040 1
 
2.9%
13,180 1
 
2.9%
12,100 1
 
2.9%
17,130 1
 
2.9%
5,500 1
 
2.9%
5,670 1
 
2.9%
4,740 1
 
2.9%
6,520 1
 
2.9%
Other values (23) 23
67.6%
2023-12-12T14:35:21.081805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 42
23.2%
, 32
17.7%
1 19
10.5%
6 15
 
8.3%
2 14
 
7.7%
5 14
 
7.7%
3 13
 
7.2%
4 7
 
3.9%
8 6
 
3.3%
6
 
3.3%
Other values (3) 13
 
7.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 141
77.9%
Other Punctuation 32
 
17.7%
Space Separator 6
 
3.3%
Dash Punctuation 2
 
1.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 42
29.8%
1 19
13.5%
6 15
 
10.6%
2 14
 
9.9%
5 14
 
9.9%
3 13
 
9.2%
4 7
 
5.0%
8 6
 
4.3%
7 6
 
4.3%
9 5
 
3.5%
Other Punctuation
ValueCountFrequency (%)
, 32
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 181
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 42
23.2%
, 32
17.7%
1 19
10.5%
6 15
 
8.3%
2 14
 
7.7%
5 14
 
7.7%
3 13
 
7.2%
4 7
 
3.9%
8 6
 
3.3%
6
 
3.3%
Other values (3) 13
 
7.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 181
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 42
23.2%
, 32
17.7%
1 19
10.5%
6 15
 
8.3%
2 14
 
7.7%
5 14
 
7.7%
3 13
 
7.2%
4 7
 
3.9%
8 6
 
3.3%
6
 
3.3%
Other values (3) 13
 
7.2%

PS(단위:kg)
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)8.8%
Missing0
Missing (%)0.0%
Memory size404.0 B
-
32 
6,800
 
1
5,810
 
1

Length

Max length5
Median length3
Mean length3.1176471
Min length3

Unique

Unique2 ?
Unique (%)5.9%

Sample

1st row6,800
2nd row -
3rd row -
4th row -
5th row -

Common Values

ValueCountFrequency (%)
- 32
94.1%
6,800 1
 
2.9%
5,810 1
 
2.9%

Length

2023-12-12T14:35:21.248887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:35:21.363806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
32
94.1%
6,800 1
 
2.9%
5,810 1
 
2.9%

PET(단위:kg)
Text

Distinct33
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-12T14:35:21.528644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length5.8235294
Min length3

Characters and Unicode

Total characters198
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)94.1%

Sample

1st row52,430
2nd row -
3rd row48,120
4th row -
5th row34,080
ValueCountFrequency (%)
2
 
5.9%
25,330 1
 
2.9%
44,730 1
 
2.9%
53,430 1
 
2.9%
58,080 1
 
2.9%
25,320 1
 
2.9%
47,710 1
 
2.9%
25,440 1
 
2.9%
52,430 1
 
2.9%
43,430 1
 
2.9%
Other values (23) 23
67.6%
2023-12-12T14:35:21.851767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 43
21.7%
, 32
16.2%
3 24
12.1%
4 23
11.6%
2 20
10.1%
5 15
 
7.6%
8 12
 
6.1%
1 7
 
3.5%
7 6
 
3.0%
9 5
 
2.5%
Other values (3) 11
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 160
80.8%
Other Punctuation 32
 
16.2%
Space Separator 4
 
2.0%
Dash Punctuation 2
 
1.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 43
26.9%
3 24
15.0%
4 23
14.4%
2 20
12.5%
5 15
 
9.4%
8 12
 
7.5%
1 7
 
4.4%
7 6
 
3.8%
9 5
 
3.1%
6 5
 
3.1%
Other Punctuation
ValueCountFrequency (%)
, 32
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 198
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 43
21.7%
, 32
16.2%
3 24
12.1%
4 23
11.6%
2 20
10.1%
5 15
 
7.6%
8 12
 
6.1%
1 7
 
3.5%
7 6
 
3.0%
9 5
 
2.5%
Other values (3) 11
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 198
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 43
21.7%
, 32
16.2%
3 24
12.1%
4 23
11.6%
2 20
10.1%
5 15
 
7.6%
8 12
 
6.1%
1 7
 
3.5%
7 6
 
3.0%
9 5
 
2.5%
Other values (3) 11
 
5.6%

스티로폼(단위:kg)
Text

Distinct23
Distinct (%)67.6%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-12T14:35:22.036255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length4.7941176
Min length3

Characters and Unicode

Total characters163
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)55.9%

Sample

1st row -
2nd row10,070
3rd row10,750
4th row9,590
5th row -
ValueCountFrequency (%)
11
32.4%
10,070 2
 
5.9%
9,670 2
 
5.9%
10,750 1
 
2.9%
8,530 1
 
2.9%
10,680 1
 
2.9%
8,830 1
 
2.9%
10,280 1
 
2.9%
11,550 1
 
2.9%
11,770 1
 
2.9%
Other values (12) 12
35.3%
2023-12-12T14:35:22.347911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 36
22.1%
26
16.0%
, 23
14.1%
1 16
9.8%
5 12
 
7.4%
- 11
 
6.7%
9 11
 
6.7%
7 8
 
4.9%
8 8
 
4.9%
6 4
 
2.5%
Other values (3) 8
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 103
63.2%
Space Separator 26
 
16.0%
Other Punctuation 23
 
14.1%
Dash Punctuation 11
 
6.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 36
35.0%
1 16
15.5%
5 12
 
11.7%
9 11
 
10.7%
7 8
 
7.8%
8 8
 
7.8%
6 4
 
3.9%
3 3
 
2.9%
2 3
 
2.9%
4 2
 
1.9%
Space Separator
ValueCountFrequency (%)
26
100.0%
Other Punctuation
ValueCountFrequency (%)
, 23
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 163
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 36
22.1%
26
16.0%
, 23
14.1%
1 16
9.8%
5 12
 
7.4%
- 11
 
6.7%
9 11
 
6.7%
7 8
 
4.9%
8 8
 
4.9%
6 4
 
2.5%
Other values (3) 8
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 163
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 36
22.1%
26
16.0%
, 23
14.1%
1 16
9.8%
5 12
 
7.4%
- 11
 
6.7%
9 11
 
6.7%
7 8
 
4.9%
8 8
 
4.9%
6 4
 
2.5%
Other values (3) 8
 
4.9%

잡고철(단위:kg)
Text

Distinct33
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-12T14:35:22.568810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5.5
Mean length5.4411765
Min length3

Characters and Unicode

Total characters185
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)94.1%

Sample

1st row10,680
2nd row5,740
3rd row3,360
4th row11,340
5th row5,610
ValueCountFrequency (%)
4,990 2
 
5.9%
10,680 1
 
2.9%
10,650 1
 
2.9%
14,130 1
 
2.9%
13,980 1
 
2.9%
11,490 1
 
2.9%
8,520 1
 
2.9%
11,370 1
 
2.9%
13,010 1
 
2.9%
16,140 1
 
2.9%
Other values (23) 23
67.6%
2023-12-12T14:35:22.954375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 44
23.8%
, 33
17.8%
1 30
16.2%
5 16
 
8.6%
7 11
 
5.9%
3 11
 
5.9%
6 10
 
5.4%
4 9
 
4.9%
9 7
 
3.8%
8 6
 
3.2%
Other values (3) 8
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 149
80.5%
Other Punctuation 33
 
17.8%
Space Separator 2
 
1.1%
Dash Punctuation 1
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 44
29.5%
1 30
20.1%
5 16
 
10.7%
7 11
 
7.4%
3 11
 
7.4%
6 10
 
6.7%
4 9
 
6.0%
9 7
 
4.7%
8 6
 
4.0%
2 5
 
3.4%
Other Punctuation
ValueCountFrequency (%)
, 33
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 185
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 44
23.8%
, 33
17.8%
1 30
16.2%
5 16
 
8.6%
7 11
 
5.9%
3 11
 
5.9%
6 10
 
5.4%
4 9
 
4.9%
9 7
 
3.8%
8 6
 
3.2%
Other values (3) 8
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 185
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 44
23.8%
, 33
17.8%
1 30
16.2%
5 16
 
8.6%
7 11
 
5.9%
3 11
 
5.9%
6 10
 
5.4%
4 9
 
4.9%
9 7
 
3.8%
8 6
 
3.2%
Other values (3) 8
 
4.3%

철캔(단위:kg)
Text

Distinct31
Distinct (%)91.2%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-12T14:35:23.199332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length5.5294118
Min length3

Characters and Unicode

Total characters188
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)82.4%

Sample

1st row8,370
2nd row -
3rd row9,550
4th row19,920
5th row10,170
ValueCountFrequency (%)
4
 
11.8%
10,190 2
 
5.9%
8,370 1
 
2.9%
6,660 1
 
2.9%
25,100 1
 
2.9%
1,140 1
 
2.9%
19,580 1
 
2.9%
7,690 1
 
2.9%
14,570 1
 
2.9%
8,870 1
 
2.9%
Other values (20) 20
58.8%
2023-12-12T14:35:23.997710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 41
21.8%
1 31
16.5%
, 30
16.0%
7 14
 
7.4%
12
 
6.4%
2 10
 
5.3%
3 9
 
4.8%
6 9
 
4.8%
9 8
 
4.3%
8 8
 
4.3%
Other values (3) 16
 
8.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 142
75.5%
Other Punctuation 30
 
16.0%
Space Separator 12
 
6.4%
Dash Punctuation 4
 
2.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 41
28.9%
1 31
21.8%
7 14
 
9.9%
2 10
 
7.0%
3 9
 
6.3%
6 9
 
6.3%
9 8
 
5.6%
8 8
 
5.6%
5 8
 
5.6%
4 4
 
2.8%
Other Punctuation
ValueCountFrequency (%)
, 30
100.0%
Space Separator
ValueCountFrequency (%)
12
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 188
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 41
21.8%
1 31
16.5%
, 30
16.0%
7 14
 
7.4%
12
 
6.4%
2 10
 
5.3%
3 9
 
4.8%
6 9
 
4.8%
9 8
 
4.3%
8 8
 
4.3%
Other values (3) 16
 
8.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 188
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 41
21.8%
1 31
16.5%
, 30
16.0%
7 14
 
7.4%
12
 
6.4%
2 10
 
5.3%
3 9
 
4.8%
6 9
 
4.8%
9 8
 
4.3%
8 8
 
4.3%
Other values (3) 16
 
8.5%

알루미늄캔(단위:kg)
Text

Distinct27
Distinct (%)79.4%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-12T14:35:24.208872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length4.5882353
Min length3

Characters and Unicode

Total characters156
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)73.5%

Sample

1st row -
2nd row -
3rd row4,220
4th row6,340
5th row3,500
ValueCountFrequency (%)
9
26.5%
4,220 1
 
2.9%
3,760 1
 
2.9%
4,980 1
 
2.9%
5,340 1
 
2.9%
4,320 1
 
2.9%
7,490 1
 
2.9%
4,200 1
 
2.9%
4,370 1
 
2.9%
4,590 1
 
2.9%
Other values (16) 16
47.1%
2023-12-12T14:35:24.599551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 32
20.5%
, 25
16.0%
22
14.1%
4 16
10.3%
3 11
 
7.1%
- 9
 
5.8%
9 8
 
5.1%
8 8
 
5.1%
7 7
 
4.5%
2 6
 
3.8%
Other values (3) 12
 
7.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 100
64.1%
Other Punctuation 25
 
16.0%
Space Separator 22
 
14.1%
Dash Punctuation 9
 
5.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 32
32.0%
4 16
16.0%
3 11
 
11.0%
9 8
 
8.0%
8 8
 
8.0%
7 7
 
7.0%
2 6
 
6.0%
5 6
 
6.0%
6 4
 
4.0%
1 2
 
2.0%
Other Punctuation
ValueCountFrequency (%)
, 25
100.0%
Space Separator
ValueCountFrequency (%)
22
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 156
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 32
20.5%
, 25
16.0%
22
14.1%
4 16
10.3%
3 11
 
7.1%
- 9
 
5.8%
9 8
 
5.1%
8 8
 
5.1%
7 7
 
4.5%
2 6
 
3.8%
Other values (3) 12
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 156
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 32
20.5%
, 25
16.0%
22
14.1%
4 16
10.3%
3 11
 
7.1%
- 9
 
5.8%
9 8
 
5.1%
8 8
 
5.1%
7 7
 
4.5%
2 6
 
3.8%
Other values (3) 12
 
7.7%

공병(단위:kg)
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)11.8%
Missing0
Missing (%)0.0%
Memory size404.0 B
-
31 
4,230
 
1
1,870
 
1
1,390
 
1

Length

Max length5
Median length3
Mean length3.1764706
Min length3

Unique

Unique3 ?
Unique (%)8.8%

Sample

1st row4,230
2nd row -
3rd row1,870
4th row1,390
5th row -

Common Values

ValueCountFrequency (%)
- 31
91.2%
4,230 1
 
2.9%
1,870 1
 
2.9%
1,390 1
 
2.9%

Length

2023-12-12T14:35:24.853736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:35:25.022327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
31
91.2%
4,230 1
 
2.9%
1,870 1
 
2.9%
1,390 1
 
2.9%

백색파병(단위:kg)
Text

Distinct24
Distinct (%)70.6%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-12T14:35:25.195143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length5.1764706
Min length3

Characters and Unicode

Total characters176
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)64.7%

Sample

1st row20,380
2nd row -
3rd row20,190
4th row18,820
5th row -
ValueCountFrequency (%)
12
35.3%
17,500 1
 
2.9%
20,380 1
 
2.9%
19,560 1
 
2.9%
18,260 1
 
2.9%
20,180 1
 
2.9%
19,800 1
 
2.9%
17,560 1
 
2.9%
19,500 1
 
2.9%
19,950 1
 
2.9%
Other values (13) 13
38.2%
2023-12-12T14:35:25.567144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
32
18.2%
0 30
17.0%
, 22
12.5%
1 22
12.5%
9 14
8.0%
- 12
 
6.8%
8 11
 
6.2%
2 9
 
5.1%
6 6
 
3.4%
7 6
 
3.4%
Other values (3) 12
 
6.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 110
62.5%
Space Separator 32
 
18.2%
Other Punctuation 22
 
12.5%
Dash Punctuation 12
 
6.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 30
27.3%
1 22
20.0%
9 14
12.7%
8 11
 
10.0%
2 9
 
8.2%
6 6
 
5.5%
7 6
 
5.5%
5 6
 
5.5%
3 4
 
3.6%
4 2
 
1.8%
Space Separator
ValueCountFrequency (%)
32
100.0%
Other Punctuation
ValueCountFrequency (%)
, 22
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 176
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
32
18.2%
0 30
17.0%
, 22
12.5%
1 22
12.5%
9 14
8.0%
- 12
 
6.8%
8 11
 
6.2%
2 9
 
5.1%
6 6
 
3.4%
7 6
 
3.4%
Other values (3) 12
 
6.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 176
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
32
18.2%
0 30
17.0%
, 22
12.5%
1 22
12.5%
9 14
8.0%
- 12
 
6.8%
8 11
 
6.2%
2 9
 
5.1%
6 6
 
3.4%
7 6
 
3.4%
Other values (3) 12
 
6.8%

갈색파병(단위:kg)
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-12T14:35:25.824672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length5.9705882
Min length5

Characters and Unicode

Total characters203
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique34 ?
Unique (%)100.0%

Sample

1st row21,440
2nd row20,590
3rd row19,630
4th row43,180
5th row18,550
ValueCountFrequency (%)
21,440 1
 
2.9%
20,590 1
 
2.9%
1
 
2.9%
22,810 1
 
2.9%
44,890 1
 
2.9%
19,620 1
 
2.9%
20,500 1
 
2.9%
19,750 1
 
2.9%
19,870 1
 
2.9%
37,490 1
 
2.9%
Other values (24) 24
70.6%
2023-12-12T14:35:26.261389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 45
22.2%
, 33
16.3%
1 22
10.8%
2 20
9.9%
4 18
 
8.9%
9 15
 
7.4%
8 11
 
5.4%
3 10
 
4.9%
5 9
 
4.4%
6 8
 
3.9%
Other values (3) 12
 
5.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 165
81.3%
Other Punctuation 33
 
16.3%
Space Separator 4
 
2.0%
Dash Punctuation 1
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 45
27.3%
1 22
13.3%
2 20
12.1%
4 18
 
10.9%
9 15
 
9.1%
8 11
 
6.7%
3 10
 
6.1%
5 9
 
5.5%
6 8
 
4.8%
7 7
 
4.2%
Other Punctuation
ValueCountFrequency (%)
, 33
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 203
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 45
22.2%
, 33
16.3%
1 22
10.8%
2 20
9.9%
4 18
 
8.9%
9 15
 
7.4%
8 11
 
5.4%
3 10
 
4.9%
5 9
 
4.4%
6 8
 
3.9%
Other values (3) 12
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 203
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 45
22.2%
, 33
16.3%
1 22
10.8%
2 20
9.9%
4 18
 
8.9%
9 15
 
7.4%
8 11
 
5.4%
3 10
 
4.9%
5 9
 
4.4%
6 8
 
3.9%
Other values (3) 12
 
5.9%

청색파병(단위:kg)
Text

Distinct19
Distinct (%)55.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-12T14:35:26.451824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5.5
Mean length4.8529412
Min length3

Characters and Unicode

Total characters165
Distinct characters12
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)50.0%

Sample

1st row -
2nd row22,170
3rd row -
4th row22,280
5th row21,670
ValueCountFrequency (%)
17
50.0%
22,170 1
 
2.9%
18,930 1
 
2.9%
23,650 1
 
2.9%
19,170 1
 
2.9%
19,620 1
 
2.9%
20,360 1
 
2.9%
20,050 1
 
2.9%
22,000 1
 
2.9%
19,160 1
 
2.9%
Other values (8) 8
23.5%
2023-12-12T14:35:26.822441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
46
27.9%
0 24
14.5%
1 18
 
10.9%
- 17
 
10.3%
2 17
 
10.3%
, 17
 
10.3%
9 7
 
4.2%
6 6
 
3.6%
3 4
 
2.4%
7 3
 
1.8%
Other values (2) 6
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 85
51.5%
Space Separator 46
27.9%
Dash Punctuation 17
 
10.3%
Other Punctuation 17
 
10.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 24
28.2%
1 18
21.2%
2 17
20.0%
9 7
 
8.2%
6 6
 
7.1%
3 4
 
4.7%
7 3
 
3.5%
8 3
 
3.5%
5 3
 
3.5%
Space Separator
ValueCountFrequency (%)
46
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%
Other Punctuation
ValueCountFrequency (%)
, 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 165
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
46
27.9%
0 24
14.5%
1 18
 
10.9%
- 17
 
10.3%
2 17
 
10.3%
, 17
 
10.3%
9 7
 
4.2%
6 6
 
3.6%
3 4
 
2.4%
7 3
 
1.8%
Other values (2) 6
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 165
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
46
27.9%
0 24
14.5%
1 18
 
10.9%
- 17
 
10.3%
2 17
 
10.3%
, 17
 
10.3%
9 7
 
4.2%
6 6
 
3.6%
3 4
 
2.4%
7 3
 
1.8%
Other values (2) 6
 
3.6%

Correlations

2023-12-12T14:35:26.956649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기간파지류(단위:kg)PP(단위:kg)PE(단위:kg)PS(단위:kg)PET(단위:kg)스티로폼(단위:kg)잡고철(단위:kg)철캔(단위:kg)알루미늄캔(단위:kg)공병(단위:kg)백색파병(단위:kg)갈색파병(단위:kg)청색파병(단위:kg)
기간1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
파지류(단위:kg)1.0001.0001.0001.0001.0000.9810.0000.9620.9490.0000.6990.4341.0000.935
PP(단위:kg)1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
PE(단위:kg)1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
PS(단위:kg)1.0001.0001.0001.0001.0001.0000.0001.0001.0000.0000.6481.0001.0000.119
PET(단위:kg)1.0000.9811.0001.0001.0001.0000.9630.9920.9860.9870.0000.9821.0000.668
스티로폼(단위:kg)1.0000.0001.0001.0000.0000.9631.0000.9630.8960.9560.6010.9001.0000.000
잡고철(단위:kg)1.0000.9621.0001.0001.0000.9920.9631.0000.9740.9561.0000.9271.0001.000
철캔(단위:kg)1.0000.9491.0001.0001.0000.9860.8960.9741.0000.9751.0000.9801.0000.000
알루미늄캔(단위:kg)1.0000.0001.0001.0000.0000.9870.9560.9560.9751.0000.0000.0001.0000.000
공병(단위:kg)1.0000.6991.0001.0000.6480.0000.6011.0001.0000.0001.0001.0001.0000.000
백색파병(단위:kg)1.0000.4341.0001.0001.0000.9820.9000.9270.9800.0001.0001.0001.0000.000
갈색파병(단위:kg)1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
청색파병(단위:kg)1.0000.9351.0001.0000.1190.6680.0001.0000.0000.0000.0000.0001.0001.000
2023-12-12T14:35:27.157205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공병(단위:kg)PS(단위:kg)
공병(단위:kg)1.0000.661
PS(단위:kg)0.6611.000
2023-12-12T14:35:27.259254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
PS(단위:kg)공병(단위:kg)
PS(단위:kg)1.0000.661
공병(단위:kg)0.6611.000

Missing values

2023-12-12T14:35:18.701525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T14:35:18.907918image/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

기간파지류(단위:kg)PP(단위:kg)PE(단위:kg)PS(단위:kg)PET(단위:kg)스티로폼(단위:kg)잡고철(단위:kg)철캔(단위:kg)알루미늄캔(단위:kg)공병(단위:kg)백색파병(단위:kg)갈색파병(단위:kg)청색파병(단위:kg)
02018년 1월16,74020,20010,8406,80052,430-10,6808,370-4,23020,38021,440-
12018년 2월14,1304,5204,740--10,0705,740----20,59022,170
22018년 3월8,82011,9308,840-48,12010,7503,3609,5504,2201,87020,19019,630-
32018년 4월-15,7509,630--9,59011,34019,9206,3401,39018,82043,18022,280
42018년 5월18,21014,9406,600-34,080-5,61010,1703,500--18,55021,670
52018년 6월31,65010,7904,450-35,2708,5305,55010,190--20,66021,350-
62018년 7월45,3905,97012,9505,81030,04010,0707,85017,3706,900-18,87045,86021,010
72018년 8월21,73015,5605,860-46,8308,90011,30014,9303,170-19,23018,930-
82018년 9월24,8605,7006,860-38,220-5,62021,5203,580--42,61021,610
92018년 10월22,33011,14010,330-43,30010,5305,2108,7703,970-17,93037,490-
기간파지류(단위:kg)PP(단위:kg)PE(단위:kg)PS(단위:kg)PET(단위:kg)스티로폼(단위:kg)잡고철(단위:kg)철캔(단위:kg)알루미늄캔(단위:kg)공병(단위:kg)백색파병(단위:kg)갈색파병(단위:kg)청색파병(단위:kg)
242020년 1월-6,1306,520-25,44010,68017,730-4,590--19,980-
252020년 2월17,6006,2105,550-25,33011,0606,6008,8704,370-17,56019,45019,620
262020년 3월15,34011,5906,040-25,520-16,14014,570--19,80019,870-
272020년 4월--5,670-24,650-13,01010,1904,200--19,75019,170
282020년 5월-10,9705,500-22,13011,19011,3707,690--20,18020,500-
292020년 6월28,75016,98017,130-36,00011,7708,52019,5807,490--19,620-
302020년 7월-12,47012,100-80,45011,55011,4901,1404,320-18,26044,89023,650
312020년 8월-6,880--24,82010,28013,98025,1005,340-19,56022,810-
322020년 9월9,25018,50013,180-51,5608,83014,130-4,980---21,210
332020년 10월-11,88012,030-33,0409,4507,71017,1804,520-21,81023,480-