Overview

Dataset statistics

Number of variables9
Number of observations148
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.7 KiB
Average record size in memory73.9 B

Variable types

Numeric1
DateTime1
Text4
Categorical3

Dataset

Description광주광역시 서구 관내의 폐수배출시설 등록일자, 업소명, 소재지(지번, 도로명주소), 종별, 배출, 방지 등에 대한 현황입니다.
Author광주광역시 서구
URLhttps://www.data.go.kr/data/15083511/fileData.do

Alerts

종별 is highly overall correlated with 업종 and 1 other fieldsHigh correlation
업종 is highly overall correlated with 종별 and 1 other fieldsHigh correlation
일별방지(제곱미터) is highly overall correlated with 업종 and 1 other fieldsHigh correlation
업종 is highly imbalanced (65.9%)Imbalance
종별 is highly imbalanced (64.9%)Imbalance
순번 has unique valuesUnique

Reproduction

Analysis started2024-03-14 13:41:40.111512
Analysis finished2024-03-14 13:41:41.866129
Duration1.75 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct148
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean74.5
Minimum1
Maximum148
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-03-14T22:41:42.063419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8.35
Q137.75
median74.5
Q3111.25
95-th percentile140.65
Maximum148
Range147
Interquartile range (IQR)73.5

Descriptive statistics

Standard deviation42.868014
Coefficient of variation (CV)0.57540959
Kurtosis-1.2
Mean74.5
Median Absolute Deviation (MAD)37
Skewness0
Sum11026
Variance1837.6667
MonotonicityStrictly increasing
2024-03-14T22:41:42.515001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.7%
95 1
 
0.7%
97 1
 
0.7%
98 1
 
0.7%
99 1
 
0.7%
100 1
 
0.7%
101 1
 
0.7%
102 1
 
0.7%
103 1
 
0.7%
104 1
 
0.7%
Other values (138) 138
93.2%
ValueCountFrequency (%)
1 1
0.7%
2 1
0.7%
3 1
0.7%
4 1
0.7%
5 1
0.7%
6 1
0.7%
7 1
0.7%
8 1
0.7%
9 1
0.7%
10 1
0.7%
ValueCountFrequency (%)
148 1
0.7%
147 1
0.7%
146 1
0.7%
145 1
0.7%
144 1
0.7%
143 1
0.7%
142 1
0.7%
141 1
0.7%
140 1
0.7%
139 1
0.7%

등록일자
Date

Distinct140
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum1990-04-10 00:00:00
Maximum2023-08-11 00:00:00
2024-03-14T22:41:42.949367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:41:43.387411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업소명
Text

Distinct147
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-03-14T22:41:44.355725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length15
Mean length6.8040541
Min length2

Characters and Unicode

Total characters1007
Distinct characters238
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique146 ?
Unique (%)98.6%

Sample

1st row구일택시유한회사
2nd row쌍촌세차장
3rd row백일주유소
4th row서부카세차장
5th row서광주우체국
ValueCountFrequency (%)
청연한방병원 2
 
1.2%
요양병원 2
 
1.2%
디테일링 2
 
1.2%
오빠세차장 1
 
0.6%
영광주유소 1
 
0.6%
브라더 1
 
0.6%
파워광택 1
 
0.6%
오토카케어 1
 
0.6%
하늘광택 1
 
0.6%
광주 1
 
0.6%
Other values (156) 156
92.3%
2024-03-14T22:41:45.774890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
차 45
 
4.5%
주 43
 
4.3%
세 41
 
4.1%
유 39
 
3.9%
광 37
 
3.7%
장 37
 
3.7%
소 27
 
2.7%
22
 
2.2%
㈜ 20
 
2.0%
원 19
 
1.9%
Other values (228) 677
67.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 924
91.8%
Space Separator 22
 
2.2%
Other Symbol 20
 
2.0%
Uppercase Letter 12
 
1.2%
Open Punctuation 9
 
0.9%
Close Punctuation 9
 
0.9%
Decimal Number 5
 
0.5%
Lowercase Letter 5
 
0.5%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
차 45
 
4.9%
주 43
 
4.7%
세 41
 
4.4%
유 39
 
4.2%
광 37
 
4.0%
장 37
 
4.0%
소 27
 
2.9%
원 19
 
2.1%
카 18
 
1.9%
스 16
 
1.7%
Other values (204) 602
65.2%
Uppercase Letter
ValueCountFrequency (%)
P 2
16.7%
E 1
8.3%
D 1
8.3%
T 1
8.3%
M 1
8.3%
C 1
8.3%
G 1
8.3%
L 1
8.3%
A 1
8.3%
I 1
8.3%
Lowercase Letter
ValueCountFrequency (%)
e 1
20.0%
r 1
20.0%
g 1
20.0%
y 1
20.0%
n 1
20.0%
Decimal Number
ValueCountFrequency (%)
1 2
40.0%
2 2
40.0%
4 1
20.0%
Space Separator
ValueCountFrequency (%)
22
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 20
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 944
93.7%
Common 46
 
4.6%
Latin 17
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
차 45
 
4.8%
주 43
 
4.6%
세 41
 
4.3%
유 39
 
4.1%
광 37
 
3.9%
장 37
 
3.9%
소 27
 
2.9%
㈜ 20
 
2.1%
원 19
 
2.0%
카 18
 
1.9%
Other values (205) 618
65.5%
Latin
ValueCountFrequency (%)
P 2
 
11.8%
e 1
 
5.9%
r 1
 
5.9%
g 1
 
5.9%
y 1
 
5.9%
n 1
 
5.9%
E 1
 
5.9%
D 1
 
5.9%
T 1
 
5.9%
M 1
 
5.9%
Other values (6) 6
35.3%
Common
ValueCountFrequency (%)
22
47.8%
( 9
19.6%
) 9
19.6%
1 2
 
4.3%
2 2
 
4.3%
. 1
 
2.2%
4 1
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 924
91.8%
ASCII 63
 
6.3%
None 20
 
2.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
차 45
 
4.9%
주 43
 
4.7%
세 41
 
4.4%
유 39
 
4.2%
광 37
 
4.0%
장 37
 
4.0%
소 27
 
2.9%
원 19
 
2.1%
카 18
 
1.9%
스 16
 
1.7%
Other values (204) 602
65.2%
ASCII
ValueCountFrequency (%)
22
34.9%
( 9
14.3%
) 9
14.3%
P 2
 
3.2%
1 2
 
3.2%
2 2
 
3.2%
e 1
 
1.6%
. 1
 
1.6%
r 1
 
1.6%
g 1
 
1.6%
Other values (13) 13
20.6%
None
ValueCountFrequency (%)
㈜ 20
100.0%

소재지(지번)
Text

Distinct144
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-03-14T22:41:47.152117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length23
Mean length18.108108
Min length14

Characters and Unicode

Total characters2680
Distinct characters53
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique140 ?
Unique (%)94.6%

Sample

1st row광주광역시 서구 쌍촌동 1079
2nd row광주광역시 서구 쌍촌동 956-11
3rd row광주광역시 서구 쌍촌동 429
4th row광주광역시 서구 농성동 449
5th row광주광역시 서구 화정동 896-2
ValueCountFrequency (%)
광주광역시 148
25.1%
서구 148
25.1%
매월동 36
 
6.1%
치평동 19
 
3.2%
농성동 16
 
2.7%
쌍촌동 15
 
2.5%
화정동 9
 
1.5%
유촌동 6
 
1.0%
마륵동 6
 
1.0%
광천동 5
 
0.8%
Other values (156) 181
30.7%
2024-03-14T22:41:48.956357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
442
16.5%
광 301
 
11.2%
동 153
 
5.7%
서 150
 
5.6%
역 148
 
5.5%
시 148
 
5.5%
구 148
 
5.5%
주 148
 
5.5%
1 129
 
4.8%
- 118
 
4.4%
Other values (43) 795
29.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1489
55.6%
Decimal Number 625
23.3%
Space Separator 442
 
16.5%
Dash Punctuation 118
 
4.4%
Other Punctuation 6
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 301
20.2%
동 153
10.3%
서 150
10.1%
역 148
9.9%
시 148
9.9%
구 148
9.9%
주 148
9.9%
월 40
 
2.7%
매 40
 
2.7%
촌 22
 
1.5%
Other values (29) 191
12.8%
Decimal Number
ValueCountFrequency (%)
1 129
20.6%
2 90
14.4%
6 71
11.4%
4 60
9.6%
3 56
9.0%
8 53
8.5%
7 52
8.3%
9 41
 
6.6%
0 40
 
6.4%
5 33
 
5.3%
Other Punctuation
ValueCountFrequency (%)
, 5
83.3%
. 1
 
16.7%
Space Separator
ValueCountFrequency (%)
442
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 118
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1489
55.6%
Common 1191
44.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 301
20.2%
동 153
10.3%
서 150
10.1%
역 148
9.9%
시 148
9.9%
구 148
9.9%
주 148
9.9%
월 40
 
2.7%
매 40
 
2.7%
촌 22
 
1.5%
Other values (29) 191
12.8%
Common
ValueCountFrequency (%)
442
37.1%
1 129
 
10.8%
- 118
 
9.9%
2 90
 
7.6%
6 71
 
6.0%
4 60
 
5.0%
3 56
 
4.7%
8 53
 
4.5%
7 52
 
4.4%
9 41
 
3.4%
Other values (4) 79
 
6.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1489
55.6%
ASCII 1191
44.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
442
37.1%
1 129
 
10.8%
- 118
 
9.9%
2 90
 
7.6%
6 71
 
6.0%
4 60
 
5.0%
3 56
 
4.7%
8 53
 
4.5%
7 52
 
4.4%
9 41
 
3.4%
Other values (4) 79
 
6.6%
Hangul
ValueCountFrequency (%)
광 301
20.2%
동 153
10.3%
서 150
10.1%
역 148
9.9%
시 148
9.9%
구 148
9.9%
주 148
9.9%
월 40
 
2.7%
매 40
 
2.7%
촌 22
 
1.5%
Other values (29) 191
12.8%

소재지(도로명주소)
Text

Distinct144
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-03-14T22:41:50.065499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length29
Mean length22.817568
Min length18

Characters and Unicode

Total characters3377
Distinct characters97
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique140 ?
Unique (%)94.6%

Sample

1st row광주광역시 서구 칠성로 47(쌍촌동)
2nd row광주광역시 서구 상무대로 939(쌍촌동)
3rd row광주광역시 서구 화정로 68(쌍촌동)
4th row광주광역시 서구 월산로 280(농성동)
5th row광주광역시 서구 월드컵4강로 109(화정동)
ValueCountFrequency (%)
광주광역시 148
24.1%
서구 148
24.1%
상무대로 16
 
2.6%
매월1로 11
 
1.8%
회재로 8
 
1.3%
회재유통길 8
 
1.3%
내방로 6
 
1.0%
62번길 6
 
1.0%
운천로 6
 
1.0%
유덕로 5
 
0.8%
Other values (200) 252
41.0%
2024-03-14T22:41:51.632249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
466
 
13.8%
광 301
 
8.9%
서 160
 
4.7%
동 152
 
4.5%
구 149
 
4.4%
시 148
 
4.4%
역 148
 
4.4%
주 148
 
4.4%
( 144
 
4.3%
) 144
 
4.3%
Other values (87) 1417
42.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2084
61.7%
Decimal Number 507
 
15.0%
Space Separator 466
 
13.8%
Open Punctuation 144
 
4.3%
Close Punctuation 144
 
4.3%
Dash Punctuation 23
 
0.7%
Other Punctuation 6
 
0.2%
Math Symbol 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 301
14.4%
서 160
 
7.7%
동 152
 
7.3%
구 149
 
7.1%
시 148
 
7.1%
역 148
 
7.1%
주 148
 
7.1%
로 131
 
6.3%
월 62
 
3.0%
매 56
 
2.7%
Other values (70) 629
30.2%
Decimal Number
ValueCountFrequency (%)
1 109
21.5%
2 71
14.0%
6 53
10.5%
4 51
10.1%
5 44
8.7%
0 42
 
8.3%
7 38
 
7.5%
3 37
 
7.3%
9 32
 
6.3%
8 30
 
5.9%
Other Punctuation
ValueCountFrequency (%)
, 5
83.3%
. 1
 
16.7%
Space Separator
ValueCountFrequency (%)
466
100.0%
Open Punctuation
ValueCountFrequency (%)
( 144
100.0%
Close Punctuation
ValueCountFrequency (%)
) 144
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2084
61.7%
Common 1293
38.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 301
14.4%
서 160
 
7.7%
동 152
 
7.3%
구 149
 
7.1%
시 148
 
7.1%
역 148
 
7.1%
주 148
 
7.1%
로 131
 
6.3%
월 62
 
3.0%
매 56
 
2.7%
Other values (70) 629
30.2%
Common
ValueCountFrequency (%)
466
36.0%
( 144
 
11.1%
) 144
 
11.1%
1 109
 
8.4%
2 71
 
5.5%
6 53
 
4.1%
4 51
 
3.9%
5 44
 
3.4%
0 42
 
3.2%
7 38
 
2.9%
Other values (7) 131
 
10.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2084
61.7%
ASCII 1293
38.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
466
36.0%
( 144
 
11.1%
) 144
 
11.1%
1 109
 
8.4%
2 71
 
5.5%
6 53
 
4.1%
4 51
 
3.9%
5 44
 
3.4%
0 42
 
3.2%
7 38
 
2.9%
Other values (7) 131
 
10.1%
Hangul
ValueCountFrequency (%)
광 301
14.4%
서 160
 
7.7%
동 152
 
7.3%
구 149
 
7.1%
시 148
 
7.1%
역 148
 
7.1%
주 148
 
7.1%
로 131
 
6.3%
월 62
 
3.0%
매 56
 
2.7%
Other values (70) 629
30.2%

업종
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct12
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
세차시설
122 
이화학시험시설
 
6
요양병원
 
5
일반병원
 
3
종합병원
 
3
Other values (7)
 
9

Length

Max length13
Median length4
Mean length4.3040541
Min length4

Unique

Unique5 ?
Unique (%)3.4%

Sample

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

Common Values

ValueCountFrequency (%)
세차시설 122
82.4%
이화학시험시설 6
 
4.1%
요양병원 5
 
3.4%
일반병원 3
 
2.0%
종합병원 3
 
2.0%
한방병원 2
 
1.4%
병원시설 2
 
1.4%
도매시장+세척수 1
 
0.7%
곡물가공품 제조시설 1
 
0.7%
자동차 종합 수리업 1
 
0.7%
Other values (2) 2
 
1.4%

Length

2024-03-14T22:41:52.054816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
세차시설 122
79.7%
이화학시험시설 6
 
3.9%
요양병원 5
 
3.3%
일반병원 3
 
2.0%
종합병원 3
 
2.0%
한방병원 2
 
1.3%
병원시설 2
 
1.3%
자동차 2
 
1.3%
도매시장+세척수 1
 
0.7%
곡물가공품 1
 
0.7%
Other values (6) 6
 
3.9%

종별
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
5
125 
특5
21 
4
 
1
특4
 
1

Length

Max length2
Median length1
Mean length1.1486486
Min length1

Unique

Unique2 ?
Unique (%)1.4%

Sample

1st row5
2nd row5
3rd row5
4th row5
5th row5

Common Values

ValueCountFrequency (%)
5 125
84.5%
특5 21
 
14.2%
4 1
 
0.7%
특4 1
 
0.7%

Length

2024-03-14T22:41:52.440800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T22:41:52.775419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5 125
84.5%
특5 21
 
14.2%
4 1
 
0.7%
특4 1
 
0.7%

일별배출(제곱미터)
Text

Distinct79
Distinct (%)53.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-03-14T22:41:53.611279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length6
Mean length2.6418919
Min length1

Characters and Unicode

Total characters391
Distinct characters16
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique55 ?
Unique (%)37.2%

Sample

1st row4.8
2nd row4
3rd row45
4th row6
5th row4.5
ValueCountFrequency (%)
3 11
 
7.4%
8 9
 
6.1%
4 8
 
5.4%
4.545 6
 
4.1%
5 6
 
4.1%
2 5
 
3.4%
12 4
 
2.7%
45 4
 
2.7%
6 4
 
2.7%
9.6 4
 
2.7%
Other values (69) 87
58.8%
2024-03-14T22:41:54.906282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 69
17.6%
5 50
12.8%
4 48
12.3%
2 45
11.5%
1 38
9.7%
0 37
9.5%
3 29
7.4%
8 24
 
6.1%
9 21
 
5.4%
6 14
 
3.6%
Other values (6) 16
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 317
81.1%
Other Punctuation 69
 
17.6%
Other Letter 2
 
0.5%
Math Symbol 1
 
0.3%
Open Punctuation 1
 
0.3%
Close Punctuation 1
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 50
15.8%
4 48
15.1%
2 45
14.2%
1 38
12.0%
0 37
11.7%
3 29
9.1%
8 24
7.6%
9 21
6.6%
6 14
 
4.4%
7 11
 
3.5%
Other Letter
ValueCountFrequency (%)
위 1
50.0%
탁 1
50.0%
Other Punctuation
ValueCountFrequency (%)
. 69
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 389
99.5%
Hangul 2
 
0.5%

Most frequent character per script

Common
ValueCountFrequency (%)
. 69
17.7%
5 50
12.9%
4 48
12.3%
2 45
11.6%
1 38
9.8%
0 37
9.5%
3 29
7.5%
8 24
 
6.2%
9 21
 
5.4%
6 14
 
3.6%
Other values (4) 14
 
3.6%
Hangul
ValueCountFrequency (%)
위 1
50.0%
탁 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 389
99.5%
Hangul 2
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 69
17.7%
5 50
12.9%
4 48
12.3%
2 45
11.6%
1 38
9.8%
0 37
9.5%
3 29
7.5%
8 24
 
6.2%
9 21
 
5.4%
6 14
 
3.6%
Other values (4) 14
 
3.6%
Hangul
ValueCountFrequency (%)
위 1
50.0%
탁 1
50.0%

일별방지(제곱미터)
Categorical

HIGH CORRELATION 

Distinct31
Distinct (%)20.9%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
10
35 
전량위탁
16 
5
14 
6
11 
20
11 
Other values (26)
61 

Length

Max length11
Median length2
Mean length2.2702703
Min length1

Unique

Unique15 ?
Unique (%)10.1%

Sample

1st row10
2nd row6
3rd row48
4th row8
5th row10

Common Values

ValueCountFrequency (%)
10 35
23.6%
전량위탁 16
10.8%
5 14
 
9.5%
6 11
 
7.4%
20 11
 
7.4%
8 8
 
5.4%
30 7
 
4.7%
15 5
 
3.4%
4 5
 
3.4%
50 5
 
3.4%
Other values (21) 31
20.9%

Length

2024-03-14T22:41:55.328979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
10 35
23.6%
전량위탁 16
10.8%
5 14
 
9.5%
6 11
 
7.4%
20 11
 
7.4%
8 8
 
5.4%
30 7
 
4.7%
15 5
 
3.4%
4 5
 
3.4%
50 5
 
3.4%
Other values (21) 31
20.9%

Interactions

2024-03-14T22:41:40.860169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T22:41:55.557798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번업종종별일별배출(제곱미터)일별방지(제곱미터)
순번1.0000.5160.5770.7070.566
업종0.5161.0001.0000.9890.925
종별0.5771.0001.0001.0000.997
일별배출(제곱미터)0.7070.9891.0001.0000.972
일별방지(제곱미터)0.5660.9250.9970.9721.000
2024-03-14T22:41:55.822223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
종별일별방지(제곱미터)업종
종별1.0000.8920.972
일별방지(제곱미터)0.8921.0000.588
업종0.9720.5881.000
2024-03-14T22:41:56.067270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번업종종별일별방지(제곱미터)
순번1.0000.2430.3750.214
업종0.2431.0000.9720.588
종별0.3750.9721.0000.892
일별방지(제곱미터)0.2140.5880.8921.000

Missing values

2024-03-14T22:41:41.215853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T22:41:41.683079image/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

순번등록일자업소명소재지(지번)소재지(도로명주소)업종종별일별배출(제곱미터)일별방지(제곱미터)
011990-04-10구일택시유한회사광주광역시 서구 쌍촌동 1079광주광역시 서구 칠성로 47(쌍촌동)세차시설54.810
121993-05-03쌍촌세차장광주광역시 서구 쌍촌동 956-11광주광역시 서구 상무대로 939(쌍촌동)세차시설546
231994-05-19백일주유소광주광역시 서구 쌍촌동 429광주광역시 서구 화정로 68(쌍촌동)세차시설54548
341994-06-14서부카세차장광주광역시 서구 농성동 449광주광역시 서구 월산로 280(농성동)세차시설568
451994-06-17서광주우체국광주광역시 서구 화정동 896-2광주광역시 서구 월드컵4강로 109(화정동)세차시설54.510
561994-06-28샛별세차장광주광역시 서구 화정동 177-65광주광역시 서구 군분2로 33번길 1(화정동)세차시설546
671995-05-10우리셀프주유소광주광역시 서구 농성동 393-52광주광역시 서구 죽봉대로 24(농성동)세차시설51220
781995-05-22한강주유소광주광역시 서구 광천동 607-57광주광역시 서구 천변좌로 6(광천동)세차시설5810
891999-05-06㈜동광담양고속광주광역시 서구 유촌동 820-29광주광역시 서구 유덕로 53(유촌동)세차시설58.110
9102000-01-24광천세차장광주광역시 서구 쌍촌동 1080-3광주광역시 서구 칠성로 43번길 2(쌍촌동)세차시설53.36
순번등록일자업소명소재지(지번)소재지(도로명주소)업종종별일별배출(제곱미터)일별방지(제곱미터)
1381392022-02-28거성산업광주광역시 서구 벽진동 213-9광주광역시 서구 벽진학두길 19(벽진동)폐기물처리업50.475면제
1391402022-03-10㈜코엔텍알앤씨광주광역시 서구 동천동 34번지광주광역시 서구 하남대로502번길 20-46(동천동)이화학시험시설특50.0185전량위탁
1401412022-03-10㈜코엔라이프광주광역시 서구 동천동 34번지광주광역시 서구 하남대로502번길 20-46(동천동)이화학시험시설특50.0015전량위탁
1411422022-06-21도도세차장스피드농성점광주광역시 서구 농성동 154-5번지광주광역시 서구 경열로 61(농성동)세차시설545.3
1421432022-06-22건영카인드림센터광주광역시 서구 매월동 622-8광주광역시 서구 회재유통길 78(매월동)세차시설54.5455
1431442022-10-17도도세차장내방점광주광역시 서구 내방동 841-18광주광역시 서구 상무대로 991-1(내방동)세차시설523.6
1441452023-02-07스카이TD광주광역시 서구 화정동 1246광주광역시 서구 화운로 33번길 5(화정동)세차시설54.5455
1451462023-02-16(유)마샘광주광역시 서구 매월동 621-23, 24광주광역시 서구 매월1로 50-7(매월동)세차시설536
1461472023-05-11도도세차장서광주점광주광역시 서구 벽진동 266-12광주광역시 서구 풍서우로 176(벽진동)세차시설523.6
1471482023-08-11주식회사덕임광주광역시 서구 치평동 889-1광주광역시 서구 치평동 889-1세차시설52448