Overview

Dataset statistics

Number of variables12
Number of observations60
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.9 KiB
Average record size in memory101.2 B

Variable types

Text3
Numeric3
Boolean5
DateTime1

Dataset

Description과천시 종량제봉투 판매 정보에 대한 데이터로 판매처명, 지번주소, 도로명주소, 우편번호, 위도, 경도, 종량제봉투취급여부 등의 항목을 제공합니다.
Author경기도 과천시
URLhttps://www.data.go.kr/data/15093586/fileData.do

Alerts

종량제봉투취급여부 has constant value ""Constant
음식물납부필증(가정용)취급여부 has constant value ""Constant
음식물납부필증(120L)취급여부 has constant value ""Constant
특수규격봉투취급여부 has constant value ""Constant
데이터기준일자 has constant value ""Constant
우편번호 is highly overall correlated with 위도High correlation
위도 is highly overall correlated with 우편번호 and 1 other fieldsHigh correlation
경도 is highly overall correlated with 위도High correlation
판매처명 has unique valuesUnique
지번 주소(선택) has unique valuesUnique
도로명 주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 10:25:56.241306
Analysis finished2023-12-12 10:25:58.051639
Duration1.81 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

판매처명
Text

UNIQUE 

Distinct60
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
2023-12-12T19:25:58.262058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length7.5166667
Min length3

Characters and Unicode

Total characters451
Distinct characters119
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique60 ?
Unique (%)100.0%

Sample

1st rowDC마트
2nd row국민마트
3rd rowGS중앙점
4th rowCU(레미안점)
5th rowCU(중앙점)
ValueCountFrequency (%)
이마트24 2
 
3.1%
구판장 2
 
3.1%
dc마트 1
 
1.6%
cu(과천삼포점 1
 
1.6%
gs25(추사로점 1
 
1.6%
강남슈퍼 1
 
1.6%
뒷골상회 1
 
1.6%
cu 1
 
1.6%
과천광창점 1
 
1.6%
주암마트 1
 
1.6%
Other values (52) 52
81.2%
2023-12-12T19:25:58.744560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
) 32
 
7.1%
( 32
 
7.1%
점 27
 
6.0%
과 21
 
4.7%
천 20
 
4.4%
마 17
 
3.8%
C 15
 
3.3%
트 15
 
3.3%
U 14
 
3.1%
2 10
 
2.2%
Other values (109) 248
55.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 308
68.3%
Uppercase Letter 53
 
11.8%
Close Punctuation 32
 
7.1%
Open Punctuation 32
 
7.1%
Decimal Number 22
 
4.9%
Space Separator 4
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 27
 
8.8%
과 21
 
6.8%
천 20
 
6.5%
마 17
 
5.5%
트 15
 
4.9%
원 10
 
3.2%
븐 10
 
3.2%
공 7
 
2.3%
레 7
 
2.3%
이 7
 
2.3%
Other values (93) 167
54.2%
Uppercase Letter
ValueCountFrequency (%)
C 15
28.3%
U 14
26.4%
G 10
18.9%
S 10
18.9%
R 1
 
1.9%
D 1
 
1.9%
K 1
 
1.9%
O 1
 
1.9%
Decimal Number
ValueCountFrequency (%)
2 10
45.5%
5 8
36.4%
4 2
 
9.1%
3 1
 
4.5%
8 1
 
4.5%
Close Punctuation
ValueCountFrequency (%)
) 32
100.0%
Open Punctuation
ValueCountFrequency (%)
( 32
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 308
68.3%
Common 90
 
20.0%
Latin 53
 
11.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 27
 
8.8%
과 21
 
6.8%
천 20
 
6.5%
마 17
 
5.5%
트 15
 
4.9%
원 10
 
3.2%
븐 10
 
3.2%
공 7
 
2.3%
레 7
 
2.3%
이 7
 
2.3%
Other values (93) 167
54.2%
Common
ValueCountFrequency (%)
) 32
35.6%
( 32
35.6%
2 10
 
11.1%
5 8
 
8.9%
4
 
4.4%
4 2
 
2.2%
3 1
 
1.1%
8 1
 
1.1%
Latin
ValueCountFrequency (%)
C 15
28.3%
U 14
26.4%
G 10
18.9%
S 10
18.9%
R 1
 
1.9%
D 1
 
1.9%
K 1
 
1.9%
O 1
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 308
68.3%
ASCII 143
31.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
) 32
22.4%
( 32
22.4%
C 15
10.5%
U 14
9.8%
2 10
 
7.0%
G 10
 
7.0%
S 10
 
7.0%
5 8
 
5.6%
4
 
2.8%
4 2
 
1.4%
Other values (6) 6
 
4.2%
Hangul
ValueCountFrequency (%)
점 27
 
8.8%
과 21
 
6.8%
천 20
 
6.5%
마 17
 
5.5%
트 15
 
4.9%
원 10
 
3.2%
븐 10
 
3.2%
공 7
 
2.3%
레 7
 
2.3%
이 7
 
2.3%
Other values (93) 167
54.2%

지번 주소(선택)
Text

UNIQUE 

Distinct60
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
2023-12-12T19:25:59.077882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length33
Mean length21.083333
Min length15

Characters and Unicode

Total characters1265
Distinct characters70
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

Unique60 ?
Unique (%)100.0%

Sample

1st row경기도 과천시 중앙동 40-12번지
2nd row경기도 과천시 중앙동 36번지
3rd row경기도 과천시 중앙동 40-13번지 가보자빌딩 105호
4th row경기도 과천시 중앙동 74번지
5th row경기도 과천시 중앙동 40-11번지
ValueCountFrequency (%)
경기도 60
21.5%
과천시 59
21.1%
별양동 13
 
4.7%
과천동 12
 
4.3%
문원동 9
 
3.2%
주암동 7
 
2.5%
4번지 6
 
2.2%
원문동 6
 
2.2%
부림동 6
 
2.2%
중앙동 5
 
1.8%
Other values (79) 96
34.4%
2023-12-12T19:25:59.551418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
220
17.4%
1 76
 
6.0%
과 72
 
5.7%
천 72
 
5.7%
동 66
 
5.2%
경 60
 
4.7%
기 60
 
4.7%
도 60
 
4.7%
시 59
 
4.7%
지 59
 
4.7%
Other values (60) 461
36.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 745
58.9%
Decimal Number 240
 
19.0%
Space Separator 220
 
17.4%
Dash Punctuation 44
 
3.5%
Other Punctuation 8
 
0.6%
Uppercase Letter 4
 
0.3%
Close Punctuation 2
 
0.2%
Open Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 72
9.7%
천 72
9.7%
동 66
 
8.9%
경 60
 
8.1%
기 60
 
8.1%
도 60
 
8.1%
시 59
 
7.9%
지 59
 
7.9%
번 54
 
7.2%
원 16
 
2.1%
Other values (44) 167
22.4%
Decimal Number
ValueCountFrequency (%)
1 76
31.7%
3 29
 
12.1%
4 25
 
10.4%
5 23
 
9.6%
2 18
 
7.5%
0 16
 
6.7%
7 15
 
6.2%
6 14
 
5.8%
9 13
 
5.4%
8 11
 
4.6%
Space Separator
ValueCountFrequency (%)
220
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 44
100.0%
Other Punctuation
ValueCountFrequency (%)
, 8
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 745
58.9%
Common 516
40.8%
Latin 4
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 72
9.7%
천 72
9.7%
동 66
 
8.9%
경 60
 
8.1%
기 60
 
8.1%
도 60
 
8.1%
시 59
 
7.9%
지 59
 
7.9%
번 54
 
7.2%
원 16
 
2.1%
Other values (44) 167
22.4%
Common
ValueCountFrequency (%)
220
42.6%
1 76
 
14.7%
- 44
 
8.5%
3 29
 
5.6%
4 25
 
4.8%
5 23
 
4.5%
2 18
 
3.5%
0 16
 
3.1%
7 15
 
2.9%
6 14
 
2.7%
Other values (5) 36
 
7.0%
Latin
ValueCountFrequency (%)
B 4
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 745
58.9%
ASCII 520
41.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
220
42.3%
1 76
 
14.6%
- 44
 
8.5%
3 29
 
5.6%
4 25
 
4.8%
5 23
 
4.4%
2 18
 
3.5%
0 16
 
3.1%
7 15
 
2.9%
6 14
 
2.7%
Other values (6) 40
 
7.7%
Hangul
ValueCountFrequency (%)
과 72
9.7%
천 72
9.7%
동 66
 
8.9%
경 60
 
8.1%
기 60
 
8.1%
도 60
 
8.1%
시 59
 
7.9%
지 59
 
7.9%
번 54
 
7.2%
원 16
 
2.1%
Other values (44) 167
22.4%

도로명 주소
Text

UNIQUE 

Distinct60
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
2023-12-12T19:25:59.888001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length35
Mean length21.95
Min length12

Characters and Unicode

Total characters1317
Distinct characters86
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

Unique60 ?
Unique (%)100.0%

Sample

1st row경기도 과천시 중앙로 135 (중앙동)
2nd row경기도 과천시 관문로 130 (중앙동)
3rd row경기도 과천시 중앙로 137 105호
4th row경기도 과천시 관문로 161 (중앙동)
5th row경기도 과천시 중앙로 131 (중앙동)
ValueCountFrequency (%)
과천시 60
19.7%
경기도 59
19.3%
별양로 11
 
3.6%
문원동 7
 
2.3%
28 6
 
2.0%
과천동 6
 
2.0%
별양상가1로 5
 
1.6%
래미안 5
 
1.6%
주암동 5
 
1.6%
중앙로 5
 
1.6%
Other values (100) 136
44.6%
2023-12-12T19:26:00.414010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
245
18.6%
과 68
 
5.2%
천 68
 
5.2%
시 60
 
4.6%
기 60
 
4.6%
경 59
 
4.5%
도 59
 
4.5%
1 57
 
4.3%
로 48
 
3.6%
동 42
 
3.2%
Other values (76) 551
41.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 776
58.9%
Space Separator 245
 
18.6%
Decimal Number 193
 
14.7%
Close Punctuation 40
 
3.0%
Open Punctuation 40
 
3.0%
Other Punctuation 14
 
1.1%
Dash Punctuation 5
 
0.4%
Uppercase Letter 4
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 68
 
8.8%
천 68
 
8.8%
시 60
 
7.7%
기 60
 
7.7%
경 59
 
7.6%
도 59
 
7.6%
로 48
 
6.2%
동 42
 
5.4%
양 29
 
3.7%
별 26
 
3.4%
Other values (60) 257
33.1%
Decimal Number
ValueCountFrequency (%)
1 57
29.5%
2 30
15.5%
0 20
 
10.4%
4 20
 
10.4%
3 18
 
9.3%
6 14
 
7.3%
5 11
 
5.7%
8 11
 
5.7%
9 7
 
3.6%
7 5
 
2.6%
Space Separator
ValueCountFrequency (%)
245
100.0%
Close Punctuation
ValueCountFrequency (%)
) 40
100.0%
Open Punctuation
ValueCountFrequency (%)
( 40
100.0%
Other Punctuation
ValueCountFrequency (%)
, 14
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 776
58.9%
Common 537
40.8%
Latin 4
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 68
 
8.8%
천 68
 
8.8%
시 60
 
7.7%
기 60
 
7.7%
경 59
 
7.6%
도 59
 
7.6%
로 48
 
6.2%
동 42
 
5.4%
양 29
 
3.7%
별 26
 
3.4%
Other values (60) 257
33.1%
Common
ValueCountFrequency (%)
245
45.6%
1 57
 
10.6%
) 40
 
7.4%
( 40
 
7.4%
2 30
 
5.6%
0 20
 
3.7%
4 20
 
3.7%
3 18
 
3.4%
, 14
 
2.6%
6 14
 
2.6%
Other values (5) 39
 
7.3%
Latin
ValueCountFrequency (%)
B 4
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 776
58.9%
ASCII 541
41.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
245
45.3%
1 57
 
10.5%
) 40
 
7.4%
( 40
 
7.4%
2 30
 
5.5%
0 20
 
3.7%
4 20
 
3.7%
3 18
 
3.3%
, 14
 
2.6%
6 14
 
2.6%
Other values (6) 43
 
7.9%
Hangul
ValueCountFrequency (%)
과 68
 
8.8%
천 68
 
8.8%
시 60
 
7.7%
기 60
 
7.7%
경 59
 
7.6%
도 59
 
7.6%
로 48
 
6.2%
동 42
 
5.4%
양 29
 
3.7%
별 26
 
3.4%
Other values (60) 257
33.1%

우편번호
Real number (ℝ)

HIGH CORRELATION 

Distinct23
Distinct (%)38.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13825.667
Minimum13802
Maximum13840
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-12T19:26:00.569498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13802
5-th percentile13807
Q113818
median13827.5
Q313835
95-th percentile13837
Maximum13840
Range38
Interquartile range (IQR)17

Descriptive statistics

Standard deviation10.324673
Coefficient of variation (CV)0.00074677577
Kurtosis-0.82486086
Mean13825.667
Median Absolute Deviation (MAD)7.5
Skewness-0.53793237
Sum829540
Variance106.59887
MonotonicityNot monotonic
2023-12-12T19:26:00.719399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
13837 9
15.0%
13835 6
 
10.0%
13827 5
 
8.3%
13820 4
 
6.7%
13831 3
 
5.0%
13813 3
 
5.0%
13818 3
 
5.0%
13814 3
 
5.0%
13830 3
 
5.0%
13807 3
 
5.0%
Other values (13) 18
30.0%
ValueCountFrequency (%)
13802 1
 
1.7%
13804 1
 
1.7%
13807 3
5.0%
13812 1
 
1.7%
13813 3
5.0%
13814 3
5.0%
13815 2
3.3%
13818 3
5.0%
13820 4
6.7%
13821 2
3.3%
ValueCountFrequency (%)
13840 2
 
3.3%
13837 9
15.0%
13836 1
 
1.7%
13835 6
10.0%
13834 2
 
3.3%
13833 1
 
1.7%
13831 3
 
5.0%
13830 3
 
5.0%
13829 1
 
1.7%
13828 2
 
3.3%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct55
Distinct (%)91.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.435043
Minimum37.412983
Maximum37.463819
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-12T19:26:00.898880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.412983
5-th percentile37.420578
Q137.424457
median37.429097
Q337.448391
95-th percentile37.456899
Maximum37.463819
Range0.050836
Interquartile range (IQR)0.023934

Descriptive statistics

Standard deviation0.013272511
Coefficient of variation (CV)0.00035454776
Kurtosis-0.79659568
Mean37.435043
Median Absolute Deviation (MAD)0.007875
Skewness0.59486898
Sum2246.1026
Variance0.00017615954
MonotonicityNot monotonic
2023-12-12T19:26:01.058112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.421222 5
 
8.3%
37.428271 2
 
3.3%
37.428588 1
 
1.7%
37.450262 1
 
1.7%
37.448351 1
 
1.7%
37.462434 1
 
1.7%
37.463819 1
 
1.7%
37.463346 1
 
1.7%
37.452812 1
 
1.7%
37.456608 1
 
1.7%
Other values (45) 45
75.0%
ValueCountFrequency (%)
37.412983 1
 
1.7%
37.416255 1
 
1.7%
37.41647 1
 
1.7%
37.420794 1
 
1.7%
37.421222 5
8.3%
37.42314 1
 
1.7%
37.423697 1
 
1.7%
37.424075 1
 
1.7%
37.424318 1
 
1.7%
37.424376 1
 
1.7%
ValueCountFrequency (%)
37.463819 1
1.7%
37.463346 1
1.7%
37.462434 1
1.7%
37.456608 1
1.7%
37.454337 1
1.7%
37.453925 1
1.7%
37.453032 1
1.7%
37.452812 1
1.7%
37.452355 1
1.7%
37.452072 1
1.7%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct55
Distinct (%)91.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.00106
Minimum126.98046
Maximum127.03453
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-12T19:26:01.264048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.98046
5-th percentile126.99123
Q1126.99299
median126.99811
Q3127.0039
95-th percentile127.03021
Maximum127.03453
Range0.054064
Interquartile range (IQR)0.010903

Descriptive statistics

Standard deviation0.012384924
Coefficient of variation (CV)9.7518271 × 10-5
Kurtosis1.5561484
Mean127.00106
Median Absolute Deviation (MAD)0.005174
Skewness1.4386999
Sum7620.0638
Variance0.00015338635
MonotonicityNot monotonic
2023-12-12T19:26:01.432266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.991225 5
 
8.3%
126.993336 2
 
3.3%
126.99156 1
 
1.7%
126.997123 1
 
1.7%
127.009899 1
 
1.7%
127.033056 1
 
1.7%
127.034529 1
 
1.7%
127.03348 1
 
1.7%
127.00113 1
 
1.7%
127.030062 1
 
1.7%
Other values (45) 45
75.0%
ValueCountFrequency (%)
126.980465 1
 
1.7%
126.984049 1
 
1.7%
126.991225 5
8.3%
126.991403 1
 
1.7%
126.99156 1
 
1.7%
126.991739 1
 
1.7%
126.991869 1
 
1.7%
126.992 1
 
1.7%
126.992555 1
 
1.7%
126.992577 1
 
1.7%
ValueCountFrequency (%)
127.034529 1
1.7%
127.03348 1
1.7%
127.033056 1
1.7%
127.030062 1
1.7%
127.02912 1
1.7%
127.02811 1
1.7%
127.022582 1
1.7%
127.009899 1
1.7%
127.009642 1
1.7%
127.009558 1
1.7%

종량제봉투취급여부
Boolean

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size192.0 B
True
60 
ValueCountFrequency (%)
True 60
100.0%
2023-12-12T19:26:01.551506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

음식물납부필증(가정용)취급여부
Boolean

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size192.0 B
False
60 
ValueCountFrequency (%)
False 60
100.0%
2023-12-12T19:26:01.642606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

음식물납부필증(120L)취급여부
Boolean

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size192.0 B
False
60 
ValueCountFrequency (%)
False 60
100.0%
2023-12-12T19:26:01.743264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

대형폐기물스티커취급여부
Boolean

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size192.0 B
False
37 
True
23 
ValueCountFrequency (%)
False 37
61.7%
True 23
38.3%
2023-12-12T19:26:01.856793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

특수규격봉투취급여부
Boolean

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size192.0 B
False
60 
ValueCountFrequency (%)
False 60
100.0%
2023-12-12T19:26:01.979989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
Minimum2022-10-25 00:00:00
Maximum2022-10-25 00:00:00
2023-12-12T19:26:02.071380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:26:02.201005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T19:25:57.390099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:25:56.659488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:25:57.062194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:25:57.515749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:25:56.778138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:25:57.177330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:25:57.615822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:25:56.896638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:25:57.277193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T19:26:02.299056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
판매처명지번 주소(선택)도로명 주소우편번호위도경도대형폐기물스티커취급여부
판매처명1.0001.0001.0001.0001.0001.0001.000
지번 주소(선택)1.0001.0001.0001.0001.0001.0001.000
도로명 주소1.0001.0001.0001.0001.0001.0001.000
우편번호1.0001.0001.0001.0000.8100.8660.191
위도1.0001.0001.0000.8101.0000.8310.000
경도1.0001.0001.0000.8660.8311.0000.000
대형폐기물스티커취급여부1.0001.0001.0000.1910.0000.0001.000
2023-12-12T19:26:02.748093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
우편번호위도경도대형폐기물스티커취급여부
우편번호1.000-0.605-0.4690.139
위도-0.6051.0000.6290.000
경도-0.4690.6291.0000.000
대형폐기물스티커취급여부0.1390.0000.0001.000

Missing values

2023-12-12T19:25:57.771891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:25:57.969608image/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

판매처명지번 주소(선택)도로명 주소우편번호위도경도종량제봉투취급여부음식물납부필증(가정용)취급여부음식물납부필증(120L)취급여부대형폐기물스티커취급여부특수규격봉투취급여부데이터기준일자
0DC마트경기도 과천시 중앙동 40-12번지경기도 과천시 중앙로 135 (중앙동)1380737.428588126.99156YNNYN2022-10-25
1국민마트경기도 과천시 중앙동 36번지경기도 과천시 관문로 130 (중앙동)1380437.43302126.993056YNNNN2022-10-25
2GS중앙점경기도 과천시 중앙동 40-13번지 가보자빌딩 105호경기도 과천시 중앙로 137 105호1380737.428805126.991739YNNYN2022-10-25
3CU(레미안점)경기도 과천시 중앙동 74번지경기도 과천시 관문로 161 (중앙동)1380237.435514126.994497YNNYN2022-10-25
4CU(중앙점)경기도 과천시 중앙동 40-11번지경기도 과천시 중앙로 131 (중앙동)1380737.428362126.991403YNNNN2022-10-25
5모닝글로리경기도 과천시 원문동 4번지 래미안 슈르 B동 1095호경기도 과천시 별양로 28 B동1095 (원문동, 래미안 슈르)1383537.421222126.991225YNNYN2022-10-25
6GS25(레미안점)경기도 과천시 원문동 4번지 래미안 슈르 B동 1086호경기도 과천시 별양로 28 B동1086 (원문동, 래미안 슈르)1383537.421222126.991225YNNYN2022-10-25
7GS슈퍼(3단지)경기도 과천시 원문동 4번지 래미안 슈르 지하1층 B23경기도 과천시 별양로 28 지하1층 B23(원문동, 래미안 슈르)1383537.421222126.991225YNNYN2022-10-25
8GS25(과천삼성점)경기도 과천시 원문동 4번지경기도 과천시 별양로 461383537.42314126.992964YNNNN2022-10-25
9세븐일레븐경기도 과천시 원문동 4번지 래미안 슈르 1019,1020호경기도 과천시 별양로 28 1019,1020호(원문동, 래미안 슈르)1383537.421222126.991225YNNYN2022-10-25
판매처명지번 주소(선택)도로명 주소우편번호위도경도종량제봉투취급여부음식물납부필증(가정용)취급여부음식물납부필증(120L)취급여부대형폐기물스티커취급여부특수규격봉투취급여부데이터기준일자
50이마트24 (R과천추사로점)경기도 과천시 주암동 176-4경기도 과천시 추사로 92-51382037.453925127.02912YNNNN2022-10-25
51문원마트경기도 과천시 문원동 115-173번지경기도 과천시 문원청계5길 2 (문원동)1382737.424391127.009558YNNNN2022-10-25
52문원침구경기도 과천시 문원동 115-157번지경기도 과천시 문원청계4길 91382737.424075127.009504YNNYN2022-10-25
53소망마트경기도 과천시 문원동 115-161번지경기도 과천시 문원청계4길 191382737.423697127.009642YNNNN2022-10-25
54공원슈퍼경기도 과천시 문원동 15-91번지경기도 과천시 공원마을1길 28 (문원동)1382837.429187127.003175YNNYN2022-10-25
55CU(과천문원공원점)경기도 과천시 문원동 15-98번지경기도 과천시 공원마을길 8 (문원동)1382837.429007127.003312YNNYN2022-10-25
56마을 구판장경기도 과천시 문원동 319-2번지경기도 과천시 사기막길 18 (문원동)1382637.420794126.998585YNNNN2022-10-25
57진로마트경기도 과천시 문원동 115-153번지경기도 과천시 문원청계4길 4 (문원동)1382737.424318127.009197YNNNN2022-10-25
58새곡마을 구판장경기도 과천시 문원동 929-1번지경기도 과천시 매봉로31 (문원동)1382537.412983126.995372YNNYN2022-10-25
59CU(과천여울)경기도 과천시 문원동 143번지경기도 과천시 문원로 114 (문원동)1382737.424376127.008112YNNYN2022-10-25