Overview

Dataset statistics

Number of variables10
Number of observations32
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.7 KiB
Average record size in memory85.1 B

Variable types

Numeric1
Categorical5
Text4

Dataset

Description부산광역시연제구_음식물류폐기물전용용기판매소현황_20200626
Author부산광역시 연제구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15051592

Alerts

5리터(L) has constant value ""Constant
3리터(L) is highly overall correlated with 연번 and 3 other fieldsHigh correlation
20리터(L) is highly overall correlated with 연번 and 3 other fieldsHigh correlation
비고 is highly overall correlated with 연번 and 3 other fieldsHigh correlation
소재동 is highly overall correlated with 연번 and 3 other fieldsHigh correlation
연번 is highly overall correlated with 소재동 and 3 other fieldsHigh correlation
비고 is highly imbalanced (55.1%)Imbalance
연번 has unique valuesUnique
상호 has unique valuesUnique
전화번호 has unique valuesUnique
소재지(신주소) has unique valuesUnique
소재지(구주소) has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:13:12.363561
Analysis finished2023-12-10 16:13:13.451047
Duration1.09 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.5
Minimum1
Maximum32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-11T01:13:13.516856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.55
Q18.75
median16.5
Q324.25
95-th percentile30.45
Maximum32
Range31
Interquartile range (IQR)15.5

Descriptive statistics

Standard deviation9.3808315
Coefficient of variation (CV)0.56853524
Kurtosis-1.2
Mean16.5
Median Absolute Deviation (MAD)8
Skewness0
Sum528
Variance88
MonotonicityStrictly increasing
2023-12-11T01:13:13.640498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
1 1
 
3.1%
18 1
 
3.1%
32 1
 
3.1%
31 1
 
3.1%
30 1
 
3.1%
29 1
 
3.1%
28 1
 
3.1%
27 1
 
3.1%
26 1
 
3.1%
25 1
 
3.1%
Other values (22) 22
68.8%
ValueCountFrequency (%)
1 1
3.1%
2 1
3.1%
3 1
3.1%
4 1
3.1%
5 1
3.1%
6 1
3.1%
7 1
3.1%
8 1
3.1%
9 1
3.1%
10 1
3.1%
ValueCountFrequency (%)
32 1
3.1%
31 1
3.1%
30 1
3.1%
29 1
3.1%
28 1
3.1%
27 1
3.1%
26 1
3.1%
25 1
3.1%
24 1
3.1%
23 1
3.1%

소재동
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)34.4%
Missing0
Missing (%)0.0%
Memory size388.0 B
연산5동
5 
연산9동
5 
연산6동
4 
거제4동
3 
연산1동
3 
Other values (6)
12 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique1 ?
Unique (%)3.1%

Sample

1st row거제1동
2nd row거제3동
3rd row거제3동
4th row거제4동
5th row거제4동

Common Values

ValueCountFrequency (%)
연산5동 5
15.6%
연산9동 5
15.6%
연산6동 4
12.5%
거제4동 3
9.4%
연산1동 3
9.4%
연산4동 3
9.4%
거제3동 2
 
6.2%
연산2동 2
 
6.2%
연산3동 2
 
6.2%
연산8동 2
 
6.2%

Length

2023-12-11T01:13:13.767204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
연산5동 5
15.6%
연산9동 5
15.6%
연산6동 4
12.5%
거제4동 3
9.4%
연산1동 3
9.4%
연산4동 3
9.4%
거제3동 2
 
6.2%
연산2동 2
 
6.2%
연산3동 2
 
6.2%
연산8동 2
 
6.2%

상호
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-12-11T01:13:13.951370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length12
Mean length5.96875
Min length3

Characters and Unicode

Total characters191
Distinct characters87
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)100.0%

Sample

1st row농축산마트
2nd row거제3동새마을금고
3rd row대양그릇
4th row거제리 우리마트
5th row경동세일마트
ValueCountFrequency (%)
빅세일마트 2
 
5.4%
주식회사 2
 
5.4%
연동dc마트 1
 
2.7%
동양마트 1
 
2.7%
삼성빅마트 1
 
2.7%
정선철물 1
 
2.7%
함양철물 1
 
2.7%
연산철물 1
 
2.7%
연미킹마트 1
 
2.7%
농축산마트 1
 
2.7%
Other values (25) 25
67.6%
2023-12-11T01:13:14.316626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
마 20
 
10.5%
트 19
 
9.9%
양 6
 
3.1%
동 5
 
2.6%
5
 
2.6%
연 5
 
2.6%
회 4
 
2.1%
물 4
 
2.1%
한 4
 
2.1%
리 4
 
2.1%
Other values (77) 115
60.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 165
86.4%
Uppercase Letter 9
 
4.7%
Decimal Number 7
 
3.7%
Space Separator 5
 
2.6%
Open Punctuation 2
 
1.0%
Close Punctuation 2
 
1.0%
Other Punctuation 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
마 20
 
12.1%
트 19
 
11.5%
양 6
 
3.6%
동 5
 
3.0%
연 5
 
3.0%
회 4
 
2.4%
물 4
 
2.4%
한 4
 
2.4%
리 4
 
2.4%
아 3
 
1.8%
Other values (59) 91
55.2%
Uppercase Letter
ValueCountFrequency (%)
E 1
11.1%
R 1
11.1%
H 1
11.1%
D 1
11.1%
O 1
11.1%
C 1
11.1%
T 1
11.1%
S 1
11.1%
Y 1
11.1%
Decimal Number
ValueCountFrequency (%)
0 3
42.9%
2 1
 
14.3%
4 1
 
14.3%
3 1
 
14.3%
1 1
 
14.3%
Space Separator
ValueCountFrequency (%)
5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 165
86.4%
Common 17
 
8.9%
Latin 9
 
4.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
마 20
 
12.1%
트 19
 
11.5%
양 6
 
3.6%
동 5
 
3.0%
연 5
 
3.0%
회 4
 
2.4%
물 4
 
2.4%
한 4
 
2.4%
리 4
 
2.4%
아 3
 
1.8%
Other values (59) 91
55.2%
Common
ValueCountFrequency (%)
5
29.4%
0 3
17.6%
( 2
 
11.8%
) 2
 
11.8%
2 1
 
5.9%
4 1
 
5.9%
. 1
 
5.9%
3 1
 
5.9%
1 1
 
5.9%
Latin
ValueCountFrequency (%)
E 1
11.1%
R 1
11.1%
H 1
11.1%
D 1
11.1%
O 1
11.1%
C 1
11.1%
T 1
11.1%
S 1
11.1%
Y 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 165
86.4%
ASCII 26
 
13.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
마 20
 
12.1%
트 19
 
11.5%
양 6
 
3.6%
동 5
 
3.0%
연 5
 
3.0%
회 4
 
2.4%
물 4
 
2.4%
한 4
 
2.4%
리 4
 
2.4%
아 3
 
1.8%
Other values (59) 91
55.2%
ASCII
ValueCountFrequency (%)
5
19.2%
0 3
 
11.5%
( 2
 
7.7%
) 2
 
7.7%
E 1
 
3.8%
R 1
 
3.8%
H 1
 
3.8%
D 1
 
3.8%
O 1
 
3.8%
C 1
 
3.8%
Other values (8) 8
30.8%

전화번호
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-12-11T01:13:14.538730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters384
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)100.0%

Sample

1st row051-501-2884
2nd row051-863-0770
3rd row051-853-3423
4th row051-506-8812
5th row051-506-8001
ValueCountFrequency (%)
051-501-2884 1
 
3.1%
051-863-0770 1
 
3.1%
051-751-6969 1
 
3.1%
051-759-2334 1
 
3.1%
051-757-8876 1
 
3.1%
051-759-0806 1
 
3.1%
051-851-8249 1
 
3.1%
051-868-1281 1
 
3.1%
051-851-5995 1
 
3.1%
051-866-3813 1
 
3.1%
Other values (22) 22
68.8%
2023-12-11T01:13:14.883424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 64
16.7%
5 60
15.6%
0 52
13.5%
1 50
13.0%
8 44
11.5%
6 25
 
6.5%
3 22
 
5.7%
2 21
 
5.5%
4 17
 
4.4%
7 17
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 320
83.3%
Dash Punctuation 64
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 60
18.8%
0 52
16.2%
1 50
15.6%
8 44
13.8%
6 25
7.8%
3 22
 
6.9%
2 21
 
6.6%
4 17
 
5.3%
7 17
 
5.3%
9 12
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 64
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 384
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 64
16.7%
5 60
15.6%
0 52
13.5%
1 50
13.0%
8 44
11.5%
6 25
 
6.5%
3 22
 
5.7%
2 21
 
5.5%
4 17
 
4.4%
7 17
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 384
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 64
16.7%
5 60
15.6%
0 52
13.5%
1 50
13.0%
8 44
11.5%
6 25
 
6.5%
3 22
 
5.7%
2 21
 
5.5%
4 17
 
4.4%
7 17
 
4.4%

소재지(신주소)
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-12-11T01:13:15.154505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length23
Mean length20.3125
Min length9

Characters and Unicode

Total characters650
Distinct characters145
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)100.0%

Sample

1st row법원북로 34(거제1차현대홈타운상가 지하)
2nd row거제시장로 37
3rd row거제시장로14번길 64 거제리시장 신풍상가
4th row해맞이로31번길 62 삼미이미지빌라6차 거제유림아시아드 112동 뒤
5th row해맞이로61번길 22 주민센터 뒤 우진빌라 옆
ValueCountFrequency (%)
내 5
 
3.6%
근처 4
 
2.9%
9 4
 
2.9%
맞은편 4
 
2.9%
옆 3
 
2.1%
29 3
 
2.1%
주민센터 3
 
2.1%
배산로 3
 
2.1%
뒤편 2
 
1.4%
연일시장 2
 
1.4%
Other values (100) 107
76.4%
2023-12-11T01:13:15.534926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
115
 
17.7%
로 35
 
5.4%
1 23
 
3.5%
연 18
 
2.8%
길 15
 
2.3%
2 15
 
2.3%
번 14
 
2.2%
시 12
 
1.8%
6 11
 
1.7%
3 11
 
1.7%
Other values (135) 381
58.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 423
65.1%
Space Separator 115
 
17.7%
Decimal Number 102
 
15.7%
Uppercase Letter 4
 
0.6%
Other Punctuation 2
 
0.3%
Dash Punctuation 2
 
0.3%
Open Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 35
 
8.3%
연 18
 
4.3%
길 15
 
3.5%
번 14
 
3.3%
시 12
 
2.8%
제 10
 
2.4%
산 10
 
2.4%
장 10
 
2.4%
대 10
 
2.4%
동 9
 
2.1%
Other values (117) 280
66.2%
Decimal Number
ValueCountFrequency (%)
1 23
22.5%
2 15
14.7%
6 11
10.8%
3 11
10.8%
4 9
 
8.8%
9 8
 
7.8%
5 7
 
6.9%
0 7
 
6.9%
8 6
 
5.9%
7 5
 
4.9%
Uppercase Letter
ValueCountFrequency (%)
G 2
50.0%
S 1
25.0%
L 1
25.0%
Space Separator
ValueCountFrequency (%)
115
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 423
65.1%
Common 223
34.3%
Latin 4
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 35
 
8.3%
연 18
 
4.3%
길 15
 
3.5%
번 14
 
3.3%
시 12
 
2.8%
제 10
 
2.4%
산 10
 
2.4%
장 10
 
2.4%
대 10
 
2.4%
동 9
 
2.1%
Other values (117) 280
66.2%
Common
ValueCountFrequency (%)
115
51.6%
1 23
 
10.3%
2 15
 
6.7%
6 11
 
4.9%
3 11
 
4.9%
4 9
 
4.0%
9 8
 
3.6%
5 7
 
3.1%
0 7
 
3.1%
8 6
 
2.7%
Other values (5) 11
 
4.9%
Latin
ValueCountFrequency (%)
G 2
50.0%
S 1
25.0%
L 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 423
65.1%
ASCII 227
34.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
115
50.7%
1 23
 
10.1%
2 15
 
6.6%
6 11
 
4.8%
3 11
 
4.8%
4 9
 
4.0%
9 8
 
3.5%
5 7
 
3.1%
0 7
 
3.1%
8 6
 
2.6%
Other values (8) 15
 
6.6%
Hangul
ValueCountFrequency (%)
로 35
 
8.3%
연 18
 
4.3%
길 15
 
3.5%
번 14
 
3.3%
시 12
 
2.8%
제 10
 
2.4%
산 10
 
2.4%
장 10
 
2.4%
대 10
 
2.4%
동 9
 
2.1%
Other values (117) 280
66.2%

소재지(구주소)
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-12-11T01:13:15.752873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length20
Mean length12.09375
Min length6

Characters and Unicode

Total characters387
Distinct characters50
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)100.0%

Sample

1st row거제동 1481
2nd row거제동 592-3
3rd row거제3동 458-1 (신풍상가A-6)
4th row거제4동 714-66
5th row거제4동 676-82
ValueCountFrequency (%)
연산동 9
 
12.7%
연산9동 3
 
4.2%
연산6동 3
 
4.2%
연제구 3
 
4.2%
거제4동 3
 
4.2%
거제동 2
 
2.8%
연산8동 2
 
2.8%
연산5동 2
 
2.8%
676-82 1
 
1.4%
815-89 1
 
1.4%
Other values (42) 42
59.2%
2023-12-11T01:13:16.145616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
44
 
11.4%
1 37
 
9.6%
동 33
 
8.5%
연 31
 
8.0%
- 29
 
7.5%
산 25
 
6.5%
3 21
 
5.4%
4 19
 
4.9%
2 16
 
4.1%
6 15
 
3.9%
Other values (40) 117
30.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 159
41.1%
Other Letter 143
37.0%
Space Separator 44
 
11.4%
Dash Punctuation 29
 
7.5%
Open Punctuation 4
 
1.0%
Close Punctuation 4
 
1.0%
Uppercase Letter 3
 
0.8%
Other Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 33
23.1%
연 31
21.7%
산 25
17.5%
제 10
 
7.0%
거 6
 
4.2%
구 4
 
2.8%
파 2
 
1.4%
상 2
 
1.4%
시 2
 
1.4%
장 2
 
1.4%
Other values (22) 26
18.2%
Decimal Number
ValueCountFrequency (%)
1 37
23.3%
3 21
13.2%
4 19
11.9%
2 16
10.1%
6 15
9.4%
8 15
9.4%
5 12
 
7.5%
7 9
 
5.7%
0 8
 
5.0%
9 7
 
4.4%
Uppercase Letter
ValueCountFrequency (%)
L 1
33.3%
G 1
33.3%
A 1
33.3%
Space Separator
ValueCountFrequency (%)
44
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 29
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 241
62.3%
Hangul 143
37.0%
Latin 3
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 33
23.1%
연 31
21.7%
산 25
17.5%
제 10
 
7.0%
거 6
 
4.2%
구 4
 
2.8%
파 2
 
1.4%
상 2
 
1.4%
시 2
 
1.4%
장 2
 
1.4%
Other values (22) 26
18.2%
Common
ValueCountFrequency (%)
44
18.3%
1 37
15.4%
- 29
12.0%
3 21
8.7%
4 19
7.9%
2 16
 
6.6%
6 15
 
6.2%
8 15
 
6.2%
5 12
 
5.0%
7 9
 
3.7%
Other values (5) 24
10.0%
Latin
ValueCountFrequency (%)
L 1
33.3%
G 1
33.3%
A 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 244
63.0%
Hangul 143
37.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
44
18.0%
1 37
15.2%
- 29
11.9%
3 21
8.6%
4 19
7.8%
2 16
 
6.6%
6 15
 
6.1%
8 15
 
6.1%
5 12
 
4.9%
7 9
 
3.7%
Other values (8) 27
11.1%
Hangul
ValueCountFrequency (%)
동 33
23.1%
연 31
21.7%
산 25
17.5%
제 10
 
7.0%
거 6
 
4.2%
구 4
 
2.8%
파 2
 
1.4%
상 2
 
1.4%
시 2
 
1.4%
장 2
 
1.4%
Other values (22) 26
18.2%

3리터(L)
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
o
26 
<NA>
6 

Length

Max length4
Median length1
Mean length1.5625
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
o 26
81.2%
<NA> 6
 
18.8%

Length

2023-12-11T01:13:16.282786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:13:16.378958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
o 26
81.2%
na 6
 
18.8%

5리터(L)
Categorical

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
o
32 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
o 32
100.0%

Length

2023-12-11T01:13:16.474215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:13:16.558864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
o 32
100.0%

20리터(L)
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
o
22 
<NA>
10 

Length

Max length4
Median length1
Mean length1.9375
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
o 22
68.8%
<NA> 10
31.2%

Length

2023-12-11T01:13:16.645824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:13:16.735495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
o 22
68.8%
na 10
31.2%

비고
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
29 
칩 판매 X
3 

Length

Max length6
Median length4
Mean length4.1875
Min length4

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> 29
90.6%
칩 판매 X 3
 
9.4%

Length

2023-12-11T01:13:16.845644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:13:16.954089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 29
76.3%
칩 3
 
7.9%
판매 3
 
7.9%
x 3
 
7.9%

Interactions

2023-12-11T01:13:12.848494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:13:17.016286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번소재동상호전화번호소재지(신주소)소재지(구주소)
연번1.0000.9211.0001.0001.0001.000
소재동0.9211.0001.0001.0001.0001.000
상호1.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.000
소재지(신주소)1.0001.0001.0001.0001.0001.000
소재지(구주소)1.0001.0001.0001.0001.0001.000
2023-12-11T01:13:17.111973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
3리터(L)20리터(L)비고소재동
3리터(L)1.0001.0001.0001.000
20리터(L)1.0001.0001.0001.000
비고1.0001.0001.0001.000
소재동1.0001.0001.0001.000
2023-12-11T01:13:17.208523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번소재동3리터(L)20리터(L)비고
연번1.0000.7041.0001.0001.000
소재동0.7041.0001.0001.0001.000
3리터(L)1.0001.0001.0001.0001.000
20리터(L)1.0001.0001.0001.0001.000
비고1.0001.0001.0001.0001.000

Missing values

2023-12-11T01:13:13.244740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:13:13.392395image/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

연번소재동상호전화번호소재지(신주소)소재지(구주소)3리터(L)5리터(L)20리터(L)비고
01거제1동농축산마트051-501-2884법원북로 34(거제1차현대홈타운상가 지하)거제동 1481ooo<NA>
12거제3동거제3동새마을금고051-863-0770거제시장로 37거제동 592-3ooo<NA>
23거제3동대양그릇051-853-3423거제시장로14번길 64 거제리시장 신풍상가거제3동 458-1 (신풍상가A-6)ooo<NA>
34거제4동거제리 우리마트051-506-8812해맞이로31번길 62 삼미이미지빌라6차 거제유림아시아드 112동 뒤거제4동 714-66<NA>oo<NA>
45거제4동경동세일마트051-506-8001해맞이로61번길 22 주민센터 뒤 우진빌라 옆거제4동 676-82ooo<NA>
56거제4동패밀리1000051-503-1728해맞이로 101 창녕고물상 근처거제4동 815-89oo<NA><NA>
67연산1동연동기물051-868-3224연동로8번길 11 연동시장 내연동시장안ooo칩 판매 X
78연산1동아름슈퍼051-852-2367연동로 10-1 연동시장 내연산동 317-51oo<NA><NA>
89연산1동코사마트051-866-8470과정로344번길 50 경동아파트 내연제구 연산1동 304-1ooo<NA>
910연산2동평구상회051-868-7343월드컵대로3번길 24 연산시장 내연산2동 787-3ooo칩 판매 X
연번소재동상호전화번호소재지(신주소)소재지(구주소)3리터(L)5리터(L)20리터(L)비고
2223연산6동함양철물051-864-8971월드컵대로32번길 3 연제중앙새마을금고 맞은편연산동 685-1ooo<NA>
2324연산6동연산철물051-866-3813배산로 9 연미상가아파트 골목시장 내연산6동 2131-8ooo칩 판매 X
2425연산6동연미킹마트051-851-5995배산로 29 배산역인근연산6동 2120-33<NA>o<NA><NA>
2526연산8동연동DC마트051-868-1281연동로 9 고분터널 입구 약국 아래연산8동 341-1 연동시장 입구ooo<NA>
2627연산8동홈마트051-851-8249신금로 6 연산제일새마을금고 뒤편연산8동 344-1oo<NA><NA>
2728연산9동이마트24 연산한양점051-759-0806과정로208번길 9 주민센터 근처연산9동 주민센터옆ooo<NA>
2829연산9동한양스토아((주)H.Y STORE)051-757-8876토곡로 29 LG아파트 연제경찰서 인근연산동 40-3 (LG아파트 앞)ooo<NA>
2930연산9동주식회사 빅세일마트051-759-2334연안로 19 과정로 GS칼텍스 맞은편연제구 연산9동 420-8ooo<NA>
3031연산9동이웃할인마트051-751-6969토곡남로 16 대우아파트 근처연산9동 50-1oo<NA><NA>
3132연산9동주식회사 한양스토아현대051-853-6100연제구 고분로236번길 13 현대아파트 상가(연산동,현대아파트1층상가)ooo<NA>