Overview

Dataset statistics

Number of variables9
Number of observations482
Missing cells77
Missing cells (%)1.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory35.4 KiB
Average record size in memory75.3 B

Variable types

Numeric3
Text4
Categorical1
DateTime1

Dataset

Description달성군 폐수시설현황에 관한 데이터로 사업장명, 업종, 주소, 전호번호,폐수종별, 위도 경도, 데이터기준일자 등의 데이터를 제공합니다.
Author대구광역시 달성군
URLhttps://www.data.go.kr/data/15084395/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
폐수종별 is highly imbalanced (65.2%)Imbalance
전화번호 has 77 (16.0%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2024-03-23 06:13:10.757293
Analysis finished2024-03-23 06:13:16.459909
Duration5.7 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct482
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean241.5
Minimum1
Maximum482
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.4 KiB
2024-03-23T06:13:16.763801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile25.05
Q1121.25
median241.5
Q3361.75
95-th percentile457.95
Maximum482
Range481
Interquartile range (IQR)240.5

Descriptive statistics

Standard deviation139.28568
Coefficient of variation (CV)0.57675229
Kurtosis-1.2
Mean241.5
Median Absolute Deviation (MAD)120.5
Skewness0
Sum116403
Variance19400.5
MonotonicityStrictly increasing
2024-03-23T06:13:17.338037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
363 1
 
0.2%
331 1
 
0.2%
330 1
 
0.2%
329 1
 
0.2%
328 1
 
0.2%
327 1
 
0.2%
326 1
 
0.2%
325 1
 
0.2%
324 1
 
0.2%
Other values (472) 472
97.9%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
482 1
0.2%
481 1
0.2%
480 1
0.2%
479 1
0.2%
478 1
0.2%
477 1
0.2%
476 1
0.2%
475 1
0.2%
474 1
0.2%
473 1
0.2%

사업장명
Text

Distinct480
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
2024-03-23T06:13:18.033544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length19
Mean length7.8174274
Min length2

Characters and Unicode

Total characters3768
Distinct characters337
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

Unique478 ?
Unique (%)99.2%

Sample

1st row(주)대경레미콘
2nd row주식회사 아세아텍
3rd row상수도사업본부매곡정수사업소
4th row대구텍 유한책임회사
5th row상신브레이크(주)
ValueCountFrequency (%)
주식회사 29
 
5.1%
대구공장 5
 
0.9%
구지공장 4
 
0.7%
제2공장 3
 
0.5%
대구지점 3
 
0.5%
상수도사업본부 3
 
0.5%
주)엘앤에프 3
 
0.5%
세차장 3
 
0.5%
주)아진피앤피 3
 
0.5%
2공장 3
 
0.5%
Other values (496) 512
89.7%
2024-03-23T06:13:19.461375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 321
 
8.5%
( 254
 
6.7%
) 254
 
6.7%
89
 
2.4%
이 88
 
2.3%
대 83
 
2.2%
공 81
 
2.1%
유 72
 
1.9%
장 69
 
1.8%
스 65
 
1.7%
Other values (327) 2392
63.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3106
82.4%
Open Punctuation 254
 
6.7%
Close Punctuation 254
 
6.7%
Space Separator 89
 
2.4%
Decimal Number 30
 
0.8%
Uppercase Letter 28
 
0.7%
Lowercase Letter 4
 
0.1%
Other Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 321
 
10.3%
이 88
 
2.8%
대 83
 
2.7%
공 81
 
2.6%
유 72
 
2.3%
장 69
 
2.2%
스 65
 
2.1%
업 63
 
2.0%
사 62
 
2.0%
지 60
 
1.9%
Other values (296) 2142
69.0%
Uppercase Letter
ValueCountFrequency (%)
C 4
14.3%
S 3
10.7%
E 3
10.7%
A 3
10.7%
J 2
 
7.1%
H 2
 
7.1%
D 2
 
7.1%
P 1
 
3.6%
K 1
 
3.6%
Y 1
 
3.6%
Other values (6) 6
21.4%
Decimal Number
ValueCountFrequency (%)
2 18
60.0%
3 5
 
16.7%
1 3
 
10.0%
4 2
 
6.7%
9 1
 
3.3%
0 1
 
3.3%
Lowercase Letter
ValueCountFrequency (%)
f 1
25.0%
l 1
25.0%
e 1
25.0%
s 1
25.0%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
& 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 254
100.0%
Close Punctuation
ValueCountFrequency (%)
) 254
100.0%
Space Separator
ValueCountFrequency (%)
89
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3106
82.4%
Common 630
 
16.7%
Latin 32
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 321
 
10.3%
이 88
 
2.8%
대 83
 
2.7%
공 81
 
2.6%
유 72
 
2.3%
장 69
 
2.2%
스 65
 
2.1%
업 63
 
2.0%
사 62
 
2.0%
지 60
 
1.9%
Other values (296) 2142
69.0%
Latin
ValueCountFrequency (%)
C 4
 
12.5%
S 3
 
9.4%
E 3
 
9.4%
A 3
 
9.4%
J 2
 
6.2%
H 2
 
6.2%
D 2
 
6.2%
P 1
 
3.1%
K 1
 
3.1%
Y 1
 
3.1%
Other values (10) 10
31.2%
Common
ValueCountFrequency (%)
( 254
40.3%
) 254
40.3%
89
 
14.1%
2 18
 
2.9%
3 5
 
0.8%
1 3
 
0.5%
. 2
 
0.3%
4 2
 
0.3%
9 1
 
0.2%
0 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3106
82.4%
ASCII 662
 
17.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 321
 
10.3%
이 88
 
2.8%
대 83
 
2.7%
공 81
 
2.6%
유 72
 
2.3%
장 69
 
2.2%
스 65
 
2.1%
업 63
 
2.0%
사 62
 
2.0%
지 60
 
1.9%
Other values (296) 2142
69.0%
ASCII
ValueCountFrequency (%)
( 254
38.4%
) 254
38.4%
89
 
13.4%
2 18
 
2.7%
3 5
 
0.8%
C 4
 
0.6%
1 3
 
0.5%
S 3
 
0.5%
E 3
 
0.5%
A 3
 
0.5%
Other values (21) 26
 
3.9%

업종
Text

Distinct165
Distinct (%)34.2%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
2024-03-23T06:13:20.146511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length21
Mean length10.856846
Min length1

Characters and Unicode

Total characters5233
Distinct characters206
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique93 ?
Unique (%)19.3%

Sample

1st row(주)대경레미콘
2nd row농업용 기계 제조업
3rd row일반 공공 행정
4th row제 1차 금속산업
5th row자동차용 신품 동력 전달장치 제조업
ValueCountFrequency (%)
제조업 260
18.4%
및 118
 
8.3%
기타 106
 
7.5%
자동차 91
 
6.4%
세차업 62
 
4.4%
그외 31
 
2.2%
부품 29
 
2.0%
자동차부품 26
 
1.8%
섬유제품 25
 
1.8%
주유소 18
 
1.3%
Other values (257) 649
45.9%
2024-03-23T06:13:21.271616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1040
19.9%
업 442
 
8.4%
제 369
 
7.1%
조 295
 
5.6%
차 204
 
3.9%
기 189
 
3.6%
품 154
 
2.9%
동 145
 
2.8%
자 144
 
2.8%
및 121
 
2.3%
Other values (196) 2130
40.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4183
79.9%
Space Separator 1040
 
19.9%
Other Punctuation 5
 
0.1%
Decimal Number 3
 
0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 442
 
10.6%
제 369
 
8.8%
조 295
 
7.1%
차 204
 
4.9%
기 189
 
4.5%
품 154
 
3.7%
동 145
 
3.5%
자 144
 
3.4%
및 121
 
2.9%
타 109
 
2.6%
Other values (190) 2011
48.1%
Other Punctuation
ValueCountFrequency (%)
· 3
60.0%
; 2
40.0%
Space Separator
ValueCountFrequency (%)
1040
100.0%
Decimal Number
ValueCountFrequency (%)
1 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4183
79.9%
Common 1050
 
20.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 442
 
10.6%
제 369
 
8.8%
조 295
 
7.1%
차 204
 
4.9%
기 189
 
4.5%
품 154
 
3.7%
동 145
 
3.5%
자 144
 
3.4%
및 121
 
2.9%
타 109
 
2.6%
Other values (190) 2011
48.1%
Common
ValueCountFrequency (%)
1040
99.0%
· 3
 
0.3%
1 3
 
0.3%
; 2
 
0.2%
( 1
 
0.1%
) 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4183
79.9%
ASCII 1047
 
20.0%
None 3
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1040
99.3%
1 3
 
0.3%
; 2
 
0.2%
( 1
 
0.1%
) 1
 
0.1%
Hangul
ValueCountFrequency (%)
업 442
 
10.6%
제 369
 
8.8%
조 295
 
7.1%
차 204
 
4.9%
기 189
 
4.5%
품 154
 
3.7%
동 145
 
3.5%
자 144
 
3.4%
및 121
 
2.9%
타 109
 
2.6%
Other values (190) 2011
48.1%
None
ValueCountFrequency (%)
· 3
100.0%

도로명주소
Text

Distinct468
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
2024-03-23T06:13:22.191195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length33
Mean length24.136929
Min length19

Characters and Unicode

Total characters11634
Distinct characters134
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

Unique455 ?
Unique (%)94.4%

Sample

1st row대구광역시 달성군 논공읍 비슬로 1717
2nd row대구광역시 달성군 유가읍 비슬로96길 11
3rd row대구광역시 달성군 다사읍 달구벌대로 717
4th row대구광역시 달성군 가창면 가창로 1040
5th row대구광역시 달성군 논공읍 논공중앙로33길 10
ValueCountFrequency (%)
대구광역시 482
19.7%
달성군 482
19.7%
논공읍 211
 
8.6%
구지면 128
 
5.2%
다사읍 55
 
2.2%
논공로 41
 
1.7%
비슬로262길 30
 
1.2%
하빈면 26
 
1.1%
논공중앙로 25
 
1.0%
비슬로 22
 
0.9%
Other values (477) 946
38.6%
2024-03-23T06:13:23.676564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1992
 
17.1%
구 625
 
5.4%
달 566
 
4.9%
성 558
 
4.8%
대 533
 
4.6%
역 485
 
4.2%
시 483
 
4.2%
군 483
 
4.2%
광 482
 
4.1%
로 444
 
3.8%
Other values (124) 4983
42.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7583
65.2%
Space Separator 1992
 
17.1%
Decimal Number 1918
 
16.5%
Dash Punctuation 87
 
0.7%
Close Punctuation 26
 
0.2%
Open Punctuation 26
 
0.2%
Uppercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 625
 
8.2%
달 566
 
7.5%
성 558
 
7.4%
대 533
 
7.0%
역 485
 
6.4%
시 483
 
6.4%
군 483
 
6.4%
광 482
 
6.4%
로 444
 
5.9%
공 370
 
4.9%
Other values (108) 2554
33.7%
Decimal Number
ValueCountFrequency (%)
1 347
18.1%
2 333
17.4%
3 229
11.9%
4 193
10.1%
5 164
8.6%
6 150
7.8%
9 139
7.2%
7 133
 
6.9%
0 116
 
6.0%
8 114
 
5.9%
Uppercase Letter
ValueCountFrequency (%)
B 1
50.0%
L 1
50.0%
Space Separator
ValueCountFrequency (%)
1992
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 87
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7583
65.2%
Common 4049
34.8%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 625
 
8.2%
달 566
 
7.5%
성 558
 
7.4%
대 533
 
7.0%
역 485
 
6.4%
시 483
 
6.4%
군 483
 
6.4%
광 482
 
6.4%
로 444
 
5.9%
공 370
 
4.9%
Other values (108) 2554
33.7%
Common
ValueCountFrequency (%)
1992
49.2%
1 347
 
8.6%
2 333
 
8.2%
3 229
 
5.7%
4 193
 
4.8%
5 164
 
4.1%
6 150
 
3.7%
9 139
 
3.4%
7 133
 
3.3%
0 116
 
2.9%
Other values (4) 253
 
6.2%
Latin
ValueCountFrequency (%)
B 1
50.0%
L 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7583
65.2%
ASCII 4051
34.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1992
49.2%
1 347
 
8.6%
2 333
 
8.2%
3 229
 
5.7%
4 193
 
4.8%
5 164
 
4.0%
6 150
 
3.7%
9 139
 
3.4%
7 133
 
3.3%
0 116
 
2.9%
Other values (6) 255
 
6.3%
Hangul
ValueCountFrequency (%)
구 625
 
8.2%
달 566
 
7.5%
성 558
 
7.4%
대 533
 
7.0%
역 485
 
6.4%
시 483
 
6.4%
군 483
 
6.4%
광 482
 
6.4%
로 444
 
5.9%
공 370
 
4.9%
Other values (108) 2554
33.7%

전화번호
Text

MISSING 

Distinct380
Distinct (%)93.8%
Missing77
Missing (%)16.0%
Memory size3.9 KiB
2024-03-23T06:13:24.627876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.795062
Min length1

Characters and Unicode

Total characters4777
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique363 ?
Unique (%)89.6%

Sample

1st row053-611-2997
2nd row053-611-0811
3rd row053-588-0797
4th row053-760-7114
5th row053-610-8214
ValueCountFrequency (%)
053-610-9000 3
 
0.8%
053-615-1061 3
 
0.8%
053-615-1101 3
 
0.8%
053-670-1234 2
 
0.5%
053-615-1251 2
 
0.5%
053-610-7000 2
 
0.5%
053-564-2201 2
 
0.5%
053-610-2277 2
 
0.5%
053-614-1592 2
 
0.5%
053-615-1001 2
 
0.5%
Other values (371) 377
94.2%
2024-03-23T06:13:26.022625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 792
16.6%
0 763
16.0%
5 714
14.9%
3 589
12.3%
1 530
11.1%
6 456
9.5%
2 213
 
4.5%
8 213
 
4.5%
7 199
 
4.2%
4 161
 
3.4%
Other values (2) 147
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3976
83.2%
Dash Punctuation 792
 
16.6%
Space Separator 9
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 763
19.2%
5 714
18.0%
3 589
14.8%
1 530
13.3%
6 456
11.5%
2 213
 
5.4%
8 213
 
5.4%
7 199
 
5.0%
4 161
 
4.0%
9 138
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 792
100.0%
Space Separator
ValueCountFrequency (%)
9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4777
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 792
16.6%
0 763
16.0%
5 714
14.9%
3 589
12.3%
1 530
11.1%
6 456
9.5%
2 213
 
4.5%
8 213
 
4.5%
7 199
 
4.2%
4 161
 
3.4%
Other values (2) 147
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4777
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 792
16.6%
0 763
16.0%
5 714
14.9%
3 589
12.3%
1 530
11.1%
6 456
9.5%
2 213
 
4.5%
8 213
 
4.5%
7 199
 
4.2%
4 161
 
3.4%
Other values (2) 147
 
3.1%

폐수종별
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
5종
409 
4종
45 
3종
 
23
1종
 
3
2종
 
2

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5종
2nd row5종
3rd row1종
4th row3종
5th row5종

Common Values

ValueCountFrequency (%)
5종 409
84.9%
4종 45
 
9.3%
3종 23
 
4.8%
1종 3
 
0.6%
2종 2
 
0.4%

Length

2024-03-23T06:13:26.788448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T06:13:27.242234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5종 409
84.9%
4종 45
 
9.3%
3종 23
 
4.8%
1종 3
 
0.6%
2종 2
 
0.4%

위도
Real number (ℝ)

Distinct467
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.737956
Minimum35.630086
Maximum35.903809
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.4 KiB
2024-03-23T06:13:27.858689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.630086
5-th percentile35.634463
Q135.660919
median35.734738
Q335.77457
95-th percentile35.876294
Maximum35.903809
Range0.27372315
Interquartile range (IQR)0.11365123

Descriptive statistics

Standard deviation0.076688988
Coefficient of variation (CV)0.0021458694
Kurtosis-0.67134944
Mean35.737956
Median Absolute Deviation (MAD)0.055875075
Skewness0.42347853
Sum17225.695
Variance0.0058812009
MonotonicityNot monotonic
2024-03-23T06:13:28.421338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.73471527 3
 
0.6%
35.74412648 2
 
0.4%
35.63585082 2
 
0.4%
35.74565775 2
 
0.4%
35.73607834 2
 
0.4%
35.73361113 2
 
0.4%
35.65227447 2
 
0.4%
35.73603925 2
 
0.4%
35.7252738 2
 
0.4%
35.65046399 2
 
0.4%
Other values (457) 461
95.6%
ValueCountFrequency (%)
35.63008552 1
0.2%
35.63009656 1
0.2%
35.63016109 1
0.2%
35.63016302 1
0.2%
35.63084111 1
0.2%
35.63085801 1
0.2%
35.63166233 1
0.2%
35.63175359 1
0.2%
35.63181283 1
0.2%
35.63186732 1
0.2%
ValueCountFrequency (%)
35.90380867 1
0.2%
35.90367735 1
0.2%
35.89852832 1
0.2%
35.89188573 1
0.2%
35.89165138 1
0.2%
35.89132502 1
0.2%
35.8894868 1
0.2%
35.88878469 1
0.2%
35.8838603 1
0.2%
35.88152609 1
0.2%

경도
Real number (ℝ)

Distinct467
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.44514
Minimum128.38406
Maximum128.66589
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.4 KiB
2024-03-23T06:13:28.986288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.38406
5-th percentile128.39965
Q1128.41877
median128.44465
Q3128.46728
95-th percentile128.48842
Maximum128.66589
Range0.2818286
Interquartile range (IQR)0.0485095

Descriptive statistics

Standard deviation0.035268238
Coefficient of variation (CV)0.00027457821
Kurtosis9.644867
Mean128.44514
Median Absolute Deviation (MAD)0.02400295
Skewness1.9751427
Sum61910.56
Variance0.0012438486
MonotonicityNot monotonic
2024-03-23T06:13:29.731638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.4655872 3
 
0.6%
128.4744982 2
 
0.4%
128.4252736 2
 
0.4%
128.4113196 2
 
0.4%
128.4556677 2
 
0.4%
128.4502367 2
 
0.4%
128.4301097 2
 
0.4%
128.4588292 2
 
0.4%
128.4573414 2
 
0.4%
128.4064672 2
 
0.4%
Other values (457) 461
95.6%
ValueCountFrequency (%)
128.3840643 1
0.2%
128.3910683 1
0.2%
128.3912025 1
0.2%
128.3912629 1
0.2%
128.3915024 1
0.2%
128.3918326 1
0.2%
128.392548 1
0.2%
128.3929074 1
0.2%
128.3941247 1
0.2%
128.3947786 1
0.2%
ValueCountFrequency (%)
128.6658929 1
0.2%
128.6614847 1
0.2%
128.626111 2
0.4%
128.6244551 1
0.2%
128.623244 1
0.2%
128.5091717 1
0.2%
128.5087414 1
0.2%
128.505379 1
0.2%
128.5025188 1
0.2%
128.498256 1
0.2%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
Minimum2024-03-20 00:00:00
Maximum2024-03-20 00:00:00
2024-03-23T06:13:30.160563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T06:13:30.541023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-23T06:13:14.658206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T06:13:12.159547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T06:13:13.283418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T06:13:15.011255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T06:13:12.454304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T06:13:13.936508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T06:13:15.397418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T06:13:12.805200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T06:13:14.295388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-23T06:13:30.770304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번폐수종별위도경도
연번1.0000.4000.4120.173
폐수종별0.4001.0000.3510.176
위도0.4120.3511.0000.641
경도0.1730.1760.6411.000
2024-03-23T06:13:31.074569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도폐수종별
연번1.000-0.156-0.2470.176
위도-0.1561.0000.2990.152
경도-0.2470.2991.0000.113
폐수종별0.1760.1520.1131.000

Missing values

2024-03-23T06:13:15.851236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-23T06:13:16.301307image/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

연번사업장명업종도로명주소전화번호폐수종별위도경도데이터기준일자
01(주)대경레미콘(주)대경레미콘대구광역시 달성군 논공읍 비슬로 1717053-611-29975종35.771356128.4136092024-03-20
12주식회사 아세아텍농업용 기계 제조업대구광역시 달성군 유가읍 비슬로96길 11053-611-08115종35.683526128.4495232024-03-20
23상수도사업본부매곡정수사업소일반 공공 행정대구광역시 달성군 다사읍 달구벌대로 717053-588-07971종35.85763128.4492452024-03-20
34대구텍 유한책임회사제 1차 금속산업대구광역시 달성군 가창면 가창로 1040053-760-71143종35.79889128.6261112024-03-20
45상신브레이크(주)자동차용 신품 동력 전달장치 제조업대구광역시 달성군 논공읍 논공중앙로33길 10053-610-82145종35.731308128.4539492024-03-20
56지성섬유기타 섬유제품 제조업대구광역시 달성군 논공읍 논공중앙로52길 14053-616-68074종35.731764128.4620212024-03-20
67엘케이글로벌기타 섬유제품 제조업대구광역시 달성군 논공읍 논공로 395-9053-614-88854종35.731676128.4660892024-03-20
78(주)비락액상시유 및 기타 낙농제품 제조업대구광역시 달성군 논공읍 논공로 465053-615-07202종35.738007128.4674642024-03-20
89(주)대경오앤티대구광역시 달성군 논공읍 논공로69길 10053-384-62014종35.741599128.4662582024-03-20
910합자회사 명신화학섬유직물 직조업대구광역시 달성군 논공읍 논공중앙로52길 40053-614-18193종35.730453128.4629872024-03-20
연번사업장명업종도로명주소전화번호폐수종별위도경도데이터기준일자
472473이즈병원일반의원대구광역시 달성군 다사읍 달구벌대로 893053-656-83815종35.857159128.4665482024-03-20
473474(주)엘앤에프 구지3공장축전지 제조업대구광역시 달성군 구지면 국가산단대로19길 40053-582-73005종35.637416128.4134122024-03-20
474475원에너지비금속류 원료 재생업대구광역시 달성군 논공읍 농공공단1길 60-9<NA>5종35.783231128.4254632024-03-20
475476대원분체 주식회사그 외 기타 특수 목적용 기계 제조업대구광역시 달성군 구지면 국가산단서로71길 135053-611-26135종35.66472128.3941252024-03-20
476477주식회사 수영하이텍기초 무기화합물 제조업대구광역시 달성군 논공읍 논공로 390053-710-25805종35.731661128.467672024-03-20
477478(주)구영테크 2공장유압기기 제조업대구광역시 달성군 구지면 국가산단대로39길 235053-592-61115종35.66077128.3972312024-03-20
478479한들식품두부 및 유사식품 제조업대구광역시 달성군 논공읍 비슬로262길 91-18053-312-76265종35.751322128.418162024-03-20
479480에스엠모빌리티 주식회사자동차부품 제조업대구광역시 달성군 구지면 달성2차동3로 112 (주)보영053-560-61315종35.641545128.4309352024-03-20
480481엠에스케미칼기타 석유정제물 재처리업대구광역시 달성군 논공읍 상리 1425<NA>5종35.744356128.4071232024-03-20
481482주식회사 감미김치 및 유사 채소절임식품 제조업대구광역시 달성군 논공읍 논공중앙로 367 1층053-473-00045종35.741204128.4705012024-03-20