Overview

Dataset statistics

Number of variables19
Number of observations388
Missing cells0
Missing cells (%)0.0%
Duplicate rows1
Duplicate rows (%)0.3%
Total size in memory57.7 KiB
Average record size in memory152.3 B

Variable types

Text1
Categorical18

Dataset

Description양주시시설관리공단에서 배포하는 종량제 물품의 판매소별 판매 현황에 관한 내역입니다.
Author양주시시설관리공단
URLhttps://www.data.go.kr/data/15067924/fileData.do

Alerts

Dataset has 1 (0.3%) duplicate rowsDuplicates
음식물3리터 is highly overall correlated with 불연성마대20리터 and 16 other fieldsHigh correlation
대형폐기물스티커2000원 is highly overall correlated with 불연성마대20리터 and 16 other fieldsHigh correlation
일반용3리터 is highly overall correlated with 불연성마대20리터 and 16 other fieldsHigh correlation
일반용100리터 is highly overall correlated with 불연성마대20리터 and 16 other fieldsHigh correlation
대형폐기물스티커1000원 is highly overall correlated with 불연성마대20리터 and 16 other fieldsHigh correlation
음식물1리터 is highly overall correlated with 불연성마대20리터 and 16 other fieldsHigh correlation
재사용10리터 is highly overall correlated with 불연성마대20리터 and 16 other fieldsHigh correlation
음식물5리터 is highly overall correlated with 불연성마대20리터 and 16 other fieldsHigh correlation
일반용20리터 is highly overall correlated with 불연성마대20리터 and 16 other fieldsHigh correlation
대형폐기물스티커5000원 is highly overall correlated with 불연성마대20리터 and 16 other fieldsHigh correlation
재사용20리터 is highly overall correlated with 불연성마대20리터 and 16 other fieldsHigh correlation
일반용5리터 is highly overall correlated with 불연성마대20리터 and 16 other fieldsHigh correlation
음식물20리터 is highly overall correlated with 불연성마대20리터 and 16 other fieldsHigh correlation
음식물10리터 is highly overall correlated with 불연성마대20리터 and 16 other fieldsHigh correlation
불연성마대50리터 is highly overall correlated with 불연성마대20리터 and 16 other fieldsHigh correlation
일반용10리터 is highly overall correlated with 불연성마대20리터 and 16 other fieldsHigh correlation
불연성마대20리터 is highly overall correlated with 불연성마대50리터 and 16 other fieldsHigh correlation
일반용50리터 is highly overall correlated with 불연성마대20리터 and 16 other fieldsHigh correlation
일반용3리터 is highly imbalanced (67.5%)Imbalance

Reproduction

Analysis started2023-12-12 14:26:24.420849
Analysis finished2023-12-12 14:26:26.548508
Duration2.13 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

거래처
Text

Distinct387
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2023-12-12T23:26:26.761541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length18
Mean length9.2036082
Min length3

Characters and Unicode

Total characters3571
Distinct characters313
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique386 ?
Unique (%)99.5%

Sample

1st row(주)꼬끼오 백석지점
2nd row(주)농협하나로유통 양주유통센터
3rd row(주)더썬테크 광사점
4th row(주)삼주국민마트(덕정)
5th row(주)삼주국민마트(백석)
ValueCountFrequency (%)
씨유 67
 
10.0%
gs25 64
 
9.6%
세븐일레븐 44
 
6.6%
이마트24 20
 
3.0%
미니스톱 14
 
2.1%
양주점 7
 
1.0%
주식회사 7
 
1.0%
하나로마트 6
 
0.9%
㈜이마트에브리데이 5
 
0.7%
양주고읍점 4
 
0.6%
Other values (396) 430
64.4%
2023-12-12T23:26:27.161857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
281
 
7.9%
점 241
 
6.7%
주 188
 
5.3%
양 173
 
4.8%
마 106
 
3.0%
트 105
 
2.9%
븐 95
 
2.7%
2 94
 
2.6%
유 86
 
2.4%
씨 70
 
2.0%
Other values (303) 2132
59.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2868
80.3%
Space Separator 281
 
7.9%
Decimal Number 194
 
5.4%
Uppercase Letter 154
 
4.3%
Close Punctuation 27
 
0.8%
Open Punctuation 27
 
0.8%
Other Symbol 11
 
0.3%
Lowercase Letter 6
 
0.2%
Other Punctuation 2
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 241
 
8.4%
주 188
 
6.6%
양 173
 
6.0%
마 106
 
3.7%
트 105
 
3.7%
븐 95
 
3.3%
유 86
 
3.0%
씨 70
 
2.4%
정 62
 
2.2%
세 60
 
2.1%
Other values (273) 1682
58.6%
Uppercase Letter
ValueCountFrequency (%)
S 69
44.8%
G 69
44.8%
C 3
 
1.9%
L 2
 
1.3%
O 2
 
1.3%
K 2
 
1.3%
E 2
 
1.3%
R 1
 
0.6%
N 1
 
0.6%
A 1
 
0.6%
Other values (2) 2
 
1.3%
Decimal Number
ValueCountFrequency (%)
2 94
48.5%
5 70
36.1%
4 24
 
12.4%
8 3
 
1.5%
7 1
 
0.5%
6 1
 
0.5%
3 1
 
0.5%
Lowercase Letter
ValueCountFrequency (%)
e 2
33.3%
l 1
16.7%
p 1
16.7%
u 1
16.7%
s 1
16.7%
Space Separator
ValueCountFrequency (%)
281
100.0%
Close Punctuation
ValueCountFrequency (%)
) 27
100.0%
Open Punctuation
ValueCountFrequency (%)
( 27
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 11
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2879
80.6%
Common 532
 
14.9%
Latin 160
 
4.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 241
 
8.4%
주 188
 
6.5%
양 173
 
6.0%
마 106
 
3.7%
트 105
 
3.6%
븐 95
 
3.3%
유 86
 
3.0%
씨 70
 
2.4%
정 62
 
2.2%
세 60
 
2.1%
Other values (274) 1693
58.8%
Latin
ValueCountFrequency (%)
S 69
43.1%
G 69
43.1%
C 3
 
1.9%
e 2
 
1.2%
L 2
 
1.2%
O 2
 
1.2%
K 2
 
1.2%
E 2
 
1.2%
R 1
 
0.6%
N 1
 
0.6%
Other values (7) 7
 
4.4%
Common
ValueCountFrequency (%)
281
52.8%
2 94
 
17.7%
5 70
 
13.2%
) 27
 
5.1%
( 27
 
5.1%
4 24
 
4.5%
8 3
 
0.6%
/ 2
 
0.4%
- 1
 
0.2%
7 1
 
0.2%
Other values (2) 2
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2868
80.3%
ASCII 692
 
19.4%
None 11
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
281
40.6%
2 94
 
13.6%
5 70
 
10.1%
S 69
 
10.0%
G 69
 
10.0%
) 27
 
3.9%
( 27
 
3.9%
4 24
 
3.5%
8 3
 
0.4%
C 3
 
0.4%
Other values (19) 25
 
3.6%
Hangul
ValueCountFrequency (%)
점 241
 
8.4%
주 188
 
6.6%
양 173
 
6.0%
마 106
 
3.7%
트 105
 
3.7%
븐 95
 
3.3%
유 86
 
3.0%
씨 70
 
2.4%
정 62
 
2.2%
세 60
 
2.1%
Other values (273) 1682
58.6%
None
ValueCountFrequency (%)
㈜ 11
100.0%

불연성마대20리터
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
<NA>
336 
O
52 

Length

Max length4
Median length4
Mean length3.5979381
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 336
86.6%
O 52
 
13.4%

Length

2023-12-12T23:26:27.328468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:26:27.433193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 336
86.6%
o 52
 
13.4%

불연성마대50리터
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
<NA>
303 
O
85 

Length

Max length4
Median length4
Mean length3.3427835
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 303
78.1%
O 85
 
21.9%

Length

2023-12-12T23:26:27.535967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:26:27.652090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 303
78.1%
o 85
 
21.9%

대형폐기물스티커1000원
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
<NA>
258 
O
130 

Length

Max length4
Median length4
Mean length2.9948454
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 258
66.5%
O 130
33.5%

Length

2023-12-12T23:26:27.791828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:26:27.896410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 258
66.5%
o 130
33.5%

대형폐기물스티커2000원
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
<NA>
248 
O
140 

Length

Max length4
Median length4
Mean length2.9175258
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 248
63.9%
O 140
36.1%

Length

2023-12-12T23:26:28.355814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:26:28.483635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 248
63.9%
o 140
36.1%

대형폐기물스티커5000원
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
<NA>
261 
O
127 

Length

Max length4
Median length4
Mean length3.0180412
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 261
67.3%
O 127
32.7%

Length

2023-12-12T23:26:28.722346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:26:28.855306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 261
67.3%
o 127
32.7%

음식물1리터
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
<NA>
311 
O
77 

Length

Max length4
Median length4
Mean length3.4046392
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 311
80.2%
O 77
 
19.8%

Length

2023-12-12T23:26:28.966394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:26:29.081342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 311
80.2%
o 77
 
19.8%

음식물3리터
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
O
199 
<NA>
189 

Length

Max length4
Median length1
Mean length2.4613402
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
O 199
51.3%
<NA> 189
48.7%

Length

2023-12-12T23:26:29.184583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:26:29.326601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
o 199
51.3%
na 189
48.7%

음식물5리터
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
O
302 
<NA>
86 

Length

Max length4
Median length1
Mean length1.6649485
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
O 302
77.8%
<NA> 86
 
22.2%

Length

2023-12-12T23:26:29.433387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:26:29.548772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
o 302
77.8%
na 86
 
22.2%

음식물10리터
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
O
306 
<NA>
82 

Length

Max length4
Median length1
Mean length1.6340206
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
O 306
78.9%
<NA> 82
 
21.1%

Length

2023-12-12T23:26:29.677352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:26:29.817680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
o 306
78.9%
na 82
 
21.1%

음식물20리터
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
O
306 
<NA>
82 

Length

Max length4
Median length1
Mean length1.6340206
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
O 306
78.9%
<NA> 82
 
21.1%

Length

2023-12-12T23:26:29.950143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:26:30.071380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
o 306
78.9%
na 82
 
21.1%

일반용3리터
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
<NA>
365 
O
 
23

Length

Max length4
Median length4
Mean length3.8221649
Min length1

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> 365
94.1%
O 23
 
5.9%

Length

2023-12-12T23:26:30.194484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:26:30.309141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 365
94.1%
o 23
 
5.9%

일반용5리터
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
<NA>
282 
O
106 

Length

Max length4
Median length4
Mean length3.1804124
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 282
72.7%
O 106
 
27.3%

Length

2023-12-12T23:26:30.412247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:26:30.533309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 282
72.7%
o 106
 
27.3%

일반용10리터
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
O
281 
<NA>
107 

Length

Max length4
Median length1
Mean length1.8273196
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
O 281
72.4%
<NA> 107
 
27.6%

Length

2023-12-12T23:26:30.642459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:26:30.759085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
o 281
72.4%
na 107
 
27.6%

일반용20리터
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
O
306 
<NA>
82 

Length

Max length4
Median length1
Mean length1.6340206
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
O 306
78.9%
<NA> 82
 
21.1%

Length

2023-12-12T23:26:30.876921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:26:31.010473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
o 306
78.9%
na 82
 
21.1%

일반용50리터
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
O
305 
<NA>
83 

Length

Max length4
Median length1
Mean length1.6417526
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
O 305
78.6%
<NA> 83
 
21.4%

Length

2023-12-12T23:26:31.140070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:26:31.270012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
o 305
78.6%
na 83
 
21.4%

일반용100리터
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
O
305 
<NA>
83 

Length

Max length4
Median length1
Mean length1.6417526
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
O 305
78.6%
<NA> 83
 
21.4%

Length

2023-12-12T23:26:31.390284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:26:31.494373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
o 305
78.6%
na 83
 
21.4%

재사용10리터
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
O
305 
<NA>
83 

Length

Max length4
Median length1
Mean length1.6417526
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
O 305
78.6%
<NA> 83
 
21.4%

Length

2023-12-12T23:26:31.621816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:26:31.797051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
o 305
78.6%
na 83
 
21.4%

재사용20리터
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
O
296 
<NA>
92 

Length

Max length4
Median length1
Mean length1.7113402
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
O 296
76.3%
<NA> 92
 
23.7%

Length

2023-12-12T23:26:31.976310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:26:32.089609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
o 296
76.3%
na 92
 
23.7%

Correlations

2023-12-12T23:26:32.199624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
음식물3리터대형폐기물스티커2000원일반용3리터일반용100리터대형폐기물스티커1000원음식물1리터재사용10리터음식물5리터일반용20리터대형폐기물스티커5000원재사용20리터일반용5리터음식물20리터음식물10리터불연성마대50리터일반용10리터불연성마대20리터일반용50리터
음식물3리터1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
대형폐기물스티커2000원1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
일반용3리터1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
일반용100리터1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
대형폐기물스티커1000원1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
음식물1리터1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
재사용10리터1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
음식물5리터1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
일반용20리터1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
대형폐기물스티커5000원1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
재사용20리터1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
일반용5리터1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
음식물20리터1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
음식물10리터1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
불연성마대50리터1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
일반용10리터1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
불연성마대20리터1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
일반용50리터1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
2023-12-12T23:26:32.436276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
불연성마대20리터불연성마대50리터대형폐기물스티커1000원대형폐기물스티커2000원대형폐기물스티커5000원음식물1리터음식물3리터음식물5리터음식물10리터음식물20리터일반용3리터일반용5리터일반용10리터일반용20리터일반용50리터일반용100리터재사용10리터재사용20리터
불연성마대20리터1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
불연성마대50리터1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
대형폐기물스티커1000원1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
대형폐기물스티커2000원1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
대형폐기물스티커5000원1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
음식물1리터1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
음식물3리터1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
음식물5리터1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
음식물10리터1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
음식물20리터1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
일반용3리터1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
일반용5리터1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
일반용10리터1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
일반용20리터1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
일반용50리터1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
일반용100리터1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
재사용10리터1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
재사용20리터1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000

Missing values

2023-12-12T23:26:26.175632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:26:26.448207image/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

거래처불연성마대20리터불연성마대50리터대형폐기물스티커1000원대형폐기물스티커2000원대형폐기물스티커5000원음식물1리터음식물3리터음식물5리터음식물10리터음식물20리터일반용3리터일반용5리터일반용10리터일반용20리터일반용50리터일반용100리터재사용10리터재사용20리터
0(주)꼬끼오 백석지점<NA>OOOO<NA>OOOO<NA><NA>OOOOOO
1(주)농협하나로유통 양주유통센터<NA>O<NA><NA><NA><NA>OOOO<NA>OOOOOOO
2(주)더썬테크 광사점<NA><NA><NA><NA><NA><NA>OOOO<NA>OOOOOO<NA>
3(주)삼주국민마트(덕정)OOOOO<NA>OOOO<NA><NA>OOOOOO
4(주)삼주국민마트(백석)OOOOOOOOOO<NA>OOOOOOO
5(주)윈플러스마트남부양주점OOOOO<NA>O<NA><NA><NA><NA>OO<NA><NA><NA><NA><NA>
6(주)케이엠유통(코리아마트)OOOOOOOOOO<NA>OOOOOOO
7(주)홈누리마트 양주점OOOOO<NA>O<NA><NA><NA><NA>OO<NA><NA><NA><NA><NA>
8CU 양주고읍점<NA><NA><NA><NA><NA><NA>OOOO<NA><NA>OOOOOO
9GS 평화점<NA><NA><NA><NA><NA><NA>O<NA><NA><NA><NA><NA>O<NA><NA><NA><NA><NA>
거래처불연성마대20리터불연성마대50리터대형폐기물스티커1000원대형폐기물스티커2000원대형폐기물스티커5000원음식물1리터음식물3리터음식물5리터음식물10리터음식물20리터일반용3리터일반용5리터일반용10리터일반용20리터일반용50리터일반용100리터재사용10리터재사용20리터
378한누리24<NA><NA><NA><NA><NA><NA><NA>OOO<NA><NA><NA>OOOO<NA>
379해피타임<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
380행복한마트<NA><NA><NA><NA><NA><NA><NA>OOO<NA><NA>OOOOOO
381현대슈퍼<NA><NA><NA><NA><NA><NA><NA>OOO<NA><NA>OOOOOO
382현진마트OOOOO<NA><NA><NA><NA><NA><NA><NA>O<NA><NA><NA><NA><NA>
383홈마트 송추점OOOOO<NA>O<NA>OO<NA>OOOOOOO
384홈플러스 익스프레스 양주삼숭점<NA><NA><NA><NA><NA><NA><NA>OOO<NA><NA><NA>OOOOO
385회천농협 하나로마트OOOOO<NA>OOOO<NA>OOOOOOO
386휴먼시아마트<NA><NA>OOO<NA><NA>OOO<NA>OOOOOOO
387희망슈퍼O<NA>OOO<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>

Duplicate rows

Most frequently occurring

거래처불연성마대20리터불연성마대50리터대형폐기물스티커1000원대형폐기물스티커2000원대형폐기물스티커5000원음식물1리터음식물3리터음식물5리터음식물10리터음식물20리터일반용3리터일반용5리터일반용10리터일반용20리터일반용50리터일반용100리터재사용10리터재사용20리터# duplicates
0광적농협 하나로마트OOOOOOOOOO<NA><NA>OOOOOO2