Overview

Dataset statistics

Number of variables12
Number of observations22
Missing cells2
Missing cells (%)0.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.3 KiB
Average record size in memory105.0 B

Variable types

Text3
Numeric3
Boolean5
DateTime1

Dataset

Description강원특별자치도 태백시 관내 종량제 봉투 판매 정보로써 판매처명, 도로명주소, 우편번호, 음식물납부필증취급여부 등의 정보 제공
Author강원특별자치도 태백시
URLhttps://www.data.go.kr/data/15095359/fileData.do

Alerts

종량제봉투취급여부 has constant value ""Constant
음식물납부필증(가정용)취급여부 has constant value ""Constant
음식물납부필증(120L)취급여부 has constant value ""Constant
대형폐기물스티커취급여부 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 우편번호High correlation
위도 has 1 (4.5%) missing valuesMissing
경도 has 1 (4.5%) missing valuesMissing
판매처명 has unique valuesUnique
지번 주소(선택) has unique valuesUnique
도로명 주소 has unique valuesUnique

Reproduction

Analysis started2023-12-11 23:24:56.961197
Analysis finished2023-12-11 23:24:58.237567
Duration1.28 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

판매처명
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-12T08:24:58.372077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length18
Mean length11.090909
Min length4

Characters and Unicode

Total characters244
Distinct characters94
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

Unique22 ?
Unique (%)100.0%

Sample

1st row(주) 이마트 태백점
2nd row이마트24 태백1주공점
3rd row씨에스유통(주) 롯데슈퍼 태백점
4th row태백농협하나로마트 장성점
5th row어평재휴게소 매점
ValueCountFrequency (%)
세븐일레븐 4
 
8.2%
태백 3
 
6.1%
태백점 2
 
4.1%
gs25 2
 
4.1%
매점 2
 
4.1%
씨유 2
 
4.1%
편의점 1
 
2.0%
태백철암점 1
 
2.0%
눈꽃 1
 
2.0%
코레일유통(주 1
 
2.0%
Other values (30) 30
61.2%
2023-12-12T08:24:58.660421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
27
 
11.1%
점 18
 
7.4%
태 17
 
7.0%
백 17
 
7.0%
븐 8
 
3.3%
유 6
 
2.5%
( 6
 
2.5%
) 6
 
2.5%
2 5
 
2.0%
주 5
 
2.0%
Other values (84) 129
52.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 183
75.0%
Space Separator 27
 
11.1%
Decimal Number 10
 
4.1%
Uppercase Letter 10
 
4.1%
Open Punctuation 6
 
2.5%
Close Punctuation 6
 
2.5%
Lowercase Letter 2
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 18
 
9.8%
태 17
 
9.3%
백 17
 
9.3%
븐 8
 
4.4%
유 6
 
3.3%
주 5
 
2.7%
레 5
 
2.7%
일 5
 
2.7%
트 4
 
2.2%
마 4
 
2.2%
Other values (70) 94
51.4%
Uppercase Letter
ValueCountFrequency (%)
C 3
30.0%
U 2
20.0%
S 2
20.0%
G 2
20.0%
D 1
 
10.0%
Decimal Number
ValueCountFrequency (%)
2 5
50.0%
5 3
30.0%
4 1
 
10.0%
1 1
 
10.0%
Lowercase Letter
ValueCountFrequency (%)
s 1
50.0%
g 1
50.0%
Space Separator
ValueCountFrequency (%)
27
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 183
75.0%
Common 49
 
20.1%
Latin 12
 
4.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 18
 
9.8%
태 17
 
9.3%
백 17
 
9.3%
븐 8
 
4.4%
유 6
 
3.3%
주 5
 
2.7%
레 5
 
2.7%
일 5
 
2.7%
트 4
 
2.2%
마 4
 
2.2%
Other values (70) 94
51.4%
Common
ValueCountFrequency (%)
27
55.1%
( 6
 
12.2%
) 6
 
12.2%
2 5
 
10.2%
5 3
 
6.1%
4 1
 
2.0%
1 1
 
2.0%
Latin
ValueCountFrequency (%)
C 3
25.0%
U 2
16.7%
S 2
16.7%
G 2
16.7%
s 1
 
8.3%
D 1
 
8.3%
g 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 183
75.0%
ASCII 61
 
25.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
27
44.3%
( 6
 
9.8%
) 6
 
9.8%
2 5
 
8.2%
C 3
 
4.9%
5 3
 
4.9%
U 2
 
3.3%
S 2
 
3.3%
G 2
 
3.3%
s 1
 
1.6%
Other values (4) 4
 
6.6%
Hangul
ValueCountFrequency (%)
점 18
 
9.8%
태 17
 
9.3%
백 17
 
9.3%
븐 8
 
4.4%
유 6
 
3.3%
주 5
 
2.7%
레 5
 
2.7%
일 5
 
2.7%
트 4
 
2.2%
마 4
 
2.2%
Other values (70) 94
51.4%

지번 주소(선택)
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-12T08:24:58.832577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length21.5
Mean length21.045455
Min length19

Characters and Unicode

Total characters463
Distinct characters34
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row강원특별자치도 태백시 화전동 113
2nd row강원특별자치도 태백시 황지동 229-16
3rd row강원특별자치도 태백시 황지동 200-27
4th row강원특별자치도 태백시 장성동 144-13
5th row강원특별자치도 태백시 혈동 155-3
ValueCountFrequency (%)
강원특별자치도 22
25.0%
태백시 22
25.0%
황지동 13
14.8%
화전동 2
 
2.3%
장성동 2
 
2.3%
통동 2
 
2.3%
49-1 1
 
1.1%
철암동 1
 
1.1%
350-7 1
 
1.1%
소도동 1
 
1.1%
Other values (21) 21
23.9%
2023-12-12T08:24:59.236841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
66
 
14.3%
도 23
 
5.0%
강 22
 
4.8%
특 22
 
4.8%
별 22
 
4.8%
자 22
 
4.8%
치 22
 
4.8%
태 22
 
4.8%
백 22
 
4.8%
시 22
 
4.8%
Other values (24) 198
42.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 283
61.1%
Decimal Number 95
 
20.5%
Space Separator 66
 
14.3%
Dash Punctuation 19
 
4.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 23
 
8.1%
강 22
 
7.8%
특 22
 
7.8%
별 22
 
7.8%
자 22
 
7.8%
치 22
 
7.8%
태 22
 
7.8%
백 22
 
7.8%
시 22
 
7.8%
동 22
 
7.8%
Other values (12) 62
21.9%
Decimal Number
ValueCountFrequency (%)
2 19
20.0%
1 16
16.8%
3 10
10.5%
7 9
9.5%
5 9
9.5%
4 8
8.4%
9 8
8.4%
0 8
8.4%
6 5
 
5.3%
8 3
 
3.2%
Space Separator
ValueCountFrequency (%)
66
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 283
61.1%
Common 180
38.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 23
 
8.1%
강 22
 
7.8%
특 22
 
7.8%
별 22
 
7.8%
자 22
 
7.8%
치 22
 
7.8%
태 22
 
7.8%
백 22
 
7.8%
시 22
 
7.8%
동 22
 
7.8%
Other values (12) 62
21.9%
Common
ValueCountFrequency (%)
66
36.7%
- 19
 
10.6%
2 19
 
10.6%
1 16
 
8.9%
3 10
 
5.6%
7 9
 
5.0%
5 9
 
5.0%
4 8
 
4.4%
9 8
 
4.4%
0 8
 
4.4%
Other values (2) 8
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 283
61.1%
ASCII 180
38.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
66
36.7%
- 19
 
10.6%
2 19
 
10.6%
1 16
 
8.9%
3 10
 
5.6%
7 9
 
5.0%
5 9
 
5.0%
4 8
 
4.4%
9 8
 
4.4%
0 8
 
4.4%
Other values (2) 8
 
4.4%
Hangul
ValueCountFrequency (%)
도 23
 
8.1%
강 22
 
7.8%
특 22
 
7.8%
별 22
 
7.8%
자 22
 
7.8%
치 22
 
7.8%
태 22
 
7.8%
백 22
 
7.8%
시 22
 
7.8%
동 22
 
7.8%
Other values (12) 62
21.9%

도로명 주소
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-12T08:24:59.502028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length28.5
Mean length26.363636
Min length21

Characters and Unicode

Total characters580
Distinct characters72
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row강원특별자치도 태백시 굴거랑길 4 (화전동)
2nd row강원특별자치도 태백시 감천로 5 (황지동)
3rd row강원특별자치도 태백시 번영로 144 (황지동)
4th row강원특별자치도 태백시 장성로 19-1 (장성동)
5th row강원특별자치도 태백시 태백산로 4162 (혈동)
ValueCountFrequency (%)
강원특별자치도 22
19.0%
태백시 22
19.0%
황지동 12
 
10.3%
1층 4
 
3.4%
화전동 2
 
1.7%
통동 2
 
1.7%
4 2
 
1.7%
번영로 2
 
1.7%
장성로 2
 
1.7%
장성동 2
 
1.7%
Other values (42) 44
37.9%
2023-12-12T08:24:59.906584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
94
 
16.2%
백 27
 
4.7%
태 27
 
4.7%
원 24
 
4.1%
강 23
 
4.0%
도 23
 
4.0%
동 23
 
4.0%
치 22
 
3.8%
자 22
 
3.8%
별 22
 
3.8%
Other values (62) 273
47.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 375
64.7%
Space Separator 94
 
16.2%
Decimal Number 60
 
10.3%
Close Punctuation 21
 
3.6%
Open Punctuation 21
 
3.6%
Other Punctuation 6
 
1.0%
Dash Punctuation 3
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
백 27
 
7.2%
태 27
 
7.2%
원 24
 
6.4%
강 23
 
6.1%
도 23
 
6.1%
동 23
 
6.1%
치 22
 
5.9%
자 22
 
5.9%
별 22
 
5.9%
특 22
 
5.9%
Other values (47) 140
37.3%
Decimal Number
ValueCountFrequency (%)
4 13
21.7%
1 12
20.0%
6 6
10.0%
9 5
 
8.3%
5 5
 
8.3%
8 5
 
8.3%
0 4
 
6.7%
3 4
 
6.7%
2 4
 
6.7%
7 2
 
3.3%
Space Separator
ValueCountFrequency (%)
94
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Other Punctuation
ValueCountFrequency (%)
, 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 375
64.7%
Common 205
35.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
백 27
 
7.2%
태 27
 
7.2%
원 24
 
6.4%
강 23
 
6.1%
도 23
 
6.1%
동 23
 
6.1%
치 22
 
5.9%
자 22
 
5.9%
별 22
 
5.9%
특 22
 
5.9%
Other values (47) 140
37.3%
Common
ValueCountFrequency (%)
94
45.9%
) 21
 
10.2%
( 21
 
10.2%
4 13
 
6.3%
1 12
 
5.9%
6 6
 
2.9%
, 6
 
2.9%
9 5
 
2.4%
5 5
 
2.4%
8 5
 
2.4%
Other values (5) 17
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 375
64.7%
ASCII 205
35.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
94
45.9%
) 21
 
10.2%
( 21
 
10.2%
4 13
 
6.3%
1 12
 
5.9%
6 6
 
2.9%
, 6
 
2.9%
9 5
 
2.4%
5 5
 
2.4%
8 5
 
2.4%
Other values (5) 17
 
8.3%
Hangul
ValueCountFrequency (%)
백 27
 
7.2%
태 27
 
7.2%
원 24
 
6.4%
강 23
 
6.1%
도 23
 
6.1%
동 23
 
6.1%
치 22
 
5.9%
자 22
 
5.9%
별 22
 
5.9%
특 22
 
5.9%
Other values (47) 140
37.3%

우편번호
Real number (ℝ)

HIGH CORRELATION 

Distinct19
Distinct (%)86.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26027.091
Minimum26003
Maximum26052
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-12T08:25:00.064673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum26003
5-th percentile26005.05
Q126015
median26029
Q326038.75
95-th percentile26046.9
Maximum26052
Range49
Interquartile range (IQR)23.75

Descriptive statistics

Standard deviation15.146614
Coefficient of variation (CV)0.0005819557
Kurtosis-1.1450628
Mean26027.091
Median Absolute Deviation (MAD)12
Skewness-0.20048288
Sum572596
Variance229.41991
MonotonicityNot monotonic
2023-12-12T08:25:00.177282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
26029 2
 
9.1%
26006 2
 
9.1%
26023 2
 
9.1%
26003 1
 
4.5%
26008 1
 
4.5%
26034 1
 
4.5%
26026 1
 
4.5%
26005 1
 
4.5%
26047 1
 
4.5%
26043 1
 
4.5%
Other values (9) 9
40.9%
ValueCountFrequency (%)
26003 1
4.5%
26005 1
4.5%
26006 2
9.1%
26008 1
4.5%
26014 1
4.5%
26018 1
4.5%
26023 2
9.1%
26026 1
4.5%
26029 2
9.1%
26031 1
4.5%
ValueCountFrequency (%)
26052 1
4.5%
26047 1
4.5%
26045 1
4.5%
26043 1
4.5%
26042 1
4.5%
26039 1
4.5%
26038 1
4.5%
26035 1
4.5%
26034 1
4.5%
26031 1
4.5%

위도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct21
Distinct (%)100.0%
Missing1
Missing (%)4.5%
Infinite0
Infinite (%)0.0%
Mean37.156768
Minimum37.10057
Maximum37.199944
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-12T08:25:00.305933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.10057
5-th percentile37.103136
Q137.154016
median37.167639
Q337.174749
95-th percentile37.179337
Maximum37.199944
Range0.09937395
Interquartile range (IQR)0.02073255

Descriptive statistics

Standard deviation0.026455195
Coefficient of variation (CV)0.0007119886
Kurtosis0.1960564
Mean37.156768
Median Absolute Deviation (MAD)0.00907224
Skewness-0.94950962
Sum780.29212
Variance0.00069987734
MonotonicityNot monotonic
2023-12-12T08:25:00.449704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
37.19994409 1
 
4.5%
37.15936337 1
 
4.5%
37.15977314 1
 
4.5%
37.16819993 1
 
4.5%
37.17813021 1
 
4.5%
37.17933692 1
 
4.5%
37.17671107 1
 
4.5%
37.10057014 1
 
4.5%
37.17634042 1
 
4.5%
37.13208018 1
 
4.5%
Other values (11) 11
50.0%
ValueCountFrequency (%)
37.10057014 1
4.5%
37.10313615 1
4.5%
37.11717565 1
4.5%
37.12265198 1
4.5%
37.13208018 1
4.5%
37.1540164 1
4.5%
37.15640857 1
4.5%
37.15936337 1
4.5%
37.15977314 1
4.5%
37.16110777 1
4.5%
ValueCountFrequency (%)
37.19994409 1
4.5%
37.17933692 1
4.5%
37.17813021 1
4.5%
37.17671107 1
4.5%
37.17634042 1
4.5%
37.17474895 1
4.5%
37.16856987 1
4.5%
37.16851503 1
4.5%
37.16819993 1
4.5%
37.16770371 1
4.5%

경도
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)100.0%
Missing1
Missing (%)4.5%
Infinite0
Infinite (%)0.0%
Mean128.98916
Minimum128.89933
Maximum129.03881
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-12T08:25:00.883550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.89933
5-th percentile128.96145
Q1128.98324
median128.98674
Q3128.99419
95-th percentile129.03629
Maximum129.03881
Range0.13948
Interquartile range (IQR)0.0109484

Descriptive statistics

Standard deviation0.030235326
Coefficient of variation (CV)0.00023440208
Kurtosis3.2061797
Mean128.98916
Median Absolute Deviation (MAD)0.0066149
Skewness-0.80999471
Sum2708.7723
Variance0.00091417495
MonotonicityNot monotonic
2023-12-12T08:25:00.997765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
128.9618608 1
 
4.5%
128.9867375 1
 
4.5%
128.9801226 1
 
4.5%
129.0353466 1
 
4.5%
128.9867105 1
 
4.5%
128.9737978 1
 
4.5%
128.9844232 1
 
4.5%
129.0211157 1
 
4.5%
128.9833806 1
 
4.5%
128.9614483 1
 
4.5%
Other values (11) 11
50.0%
ValueCountFrequency (%)
128.8993296 1
4.5%
128.9614483 1
4.5%
128.9618608 1
4.5%
128.9737978 1
4.5%
128.9801226 1
4.5%
128.9832409 1
4.5%
128.9833806 1
4.5%
128.9844232 1
4.5%
128.986612 1
4.5%
128.9867105 1
4.5%
ValueCountFrequency (%)
129.0388096 1
4.5%
129.0362909 1
4.5%
129.0353466 1
4.5%
129.0211157 1
4.5%
129.0090152 1
4.5%
128.9941893 1
4.5%
128.9887438 1
4.5%
128.9871047 1
4.5%
128.9870705 1
4.5%
128.9869584 1
4.5%

종량제봉투취급여부
Boolean

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size154.0 B
True
22 
ValueCountFrequency (%)
True 22
100.0%
2023-12-12T08:25:01.120234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

음식물납부필증(가정용)취급여부
Boolean

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size154.0 B
True
22 
ValueCountFrequency (%)
True 22
100.0%
2023-12-12T08:25:01.200257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

음식물납부필증(120L)취급여부
Boolean

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size154.0 B
True
22 
ValueCountFrequency (%)
True 22
100.0%
2023-12-12T08:25:01.283617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

대형폐기물스티커취급여부
Boolean

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size154.0 B
False
22 
ValueCountFrequency (%)
False 22
100.0%
2023-12-12T08:25:01.393891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

특수규격봉투취급여부
Boolean

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size154.0 B
False
22 
ValueCountFrequency (%)
False 22
100.0%
2023-12-12T08:25:01.494048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
Minimum2023-09-12 00:00:00
Maximum2023-09-12 00:00:00
2023-12-12T08:25:01.604712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:25:01.701541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T08:24:57.729020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:24:57.241395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:24:57.477551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:24:57.799187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:24:57.308596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:24:57.553031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:24:57.875572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:24:57.398060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:24:57.630996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T08:25:01.786761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
판매처명지번 주소(선택)도로명 주소우편번호위도경도
판매처명1.0001.0001.0001.0001.0001.000
지번 주소(선택)1.0001.0001.0001.0001.0001.000
도로명 주소1.0001.0001.0001.0001.0001.000
우편번호1.0001.0001.0001.0000.6740.360
위도1.0001.0001.0000.6741.0000.724
경도1.0001.0001.0000.3600.7241.000
2023-12-12T08:25:01.895738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
우편번호위도경도
우편번호1.000-0.9070.250
위도-0.9071.000-0.258
경도0.250-0.2581.000

Missing values

2023-12-12T08:24:57.978731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T08:24:58.109611image/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.
2023-12-12T08:24:58.198469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

판매처명지번 주소(선택)도로명 주소우편번호위도경도종량제봉투취급여부음식물납부필증(가정용)취급여부음식물납부필증(120L)취급여부대형폐기물스티커취급여부특수규격봉투취급여부데이터기준일자
0(주) 이마트 태백점강원특별자치도 태백시 화전동 113강원특별자치도 태백시 굴거랑길 4 (화전동)2600337.199944128.961861YYYNN2023-09-12
1이마트24 태백1주공점강원특별자치도 태백시 황지동 229-16강원특별자치도 태백시 감천로 5 (황지동)2602337.159363128.986738YYYNN2023-09-12
2씨에스유통(주) 롯데슈퍼 태백점강원특별자치도 태백시 황지동 200-27강원특별자치도 태백시 번영로 144 (황지동)2603837.156409128.98707YYYNN2023-09-12
3태백농협하나로마트 장성점강원특별자치도 태백시 장성동 144-13강원특별자치도 태백시 장성로 19-1 (장성동)2605237.103136129.009015YYYNN2023-09-12
4어평재휴게소 매점강원특별자치도 태백시 혈동 155-3강원특별자치도 태백시 태백산로 4162 (혈동)2604237.122652128.89933YYYNN2023-09-12
5세븐일레븐 태백서학점강원특별자치도 태백시 황지동 418-11강원특별자치도 태백시 서학로 1084 (황지동)2603537.154016128.983241YYYNN2023-09-12
6세븐일레븐 태백통리점강원특별자치도 태백시 통동 69-25강원특별자치도 태백시 통골길 3 (통동)2602937.167639129.036291YYYNN2023-09-12
7씨유 태백번영로점강원특별자치도 태백시 황지동 59-223강원특별자치도 태백시 번영로 285 (황지동)2603137.168515128.986612YYYNN2023-09-12
8아울렛 DC 마트강원특별자치도 태백시 황지동 73-30강원특별자치도 태백시 태백로 996 (황지동)2601437.16857128.994189YYYNN2023-09-12
9씨유 유진점강원특별자치도 태백시 황지동 220강원특별자치도 태백시 고원로 61 (황지동, 황지동유진아트빌)2602337.161108128.987105YYYNN2023-09-12
판매처명지번 주소(선택)도로명 주소우편번호위도경도종량제봉투취급여부음식물납부필증(가정용)취급여부음식물납부필증(120L)취급여부대형폐기물스티커취급여부특수규격봉투취급여부데이터기준일자
12세븐일레븐 태백센터점강원특별자치도 태백시 황지동 253-71강원특별자치도 태백시 연지로 10, 1층 (황지동)2600837.174749128.988744YYYNN2023-09-12
13gs25 태백철암점강원특별자치도 태백시 철암동 350-7강원특별자치도 태백시 동태백로 448-4 (철암동)2604537.117176129.03881YYYNN2023-09-12
14태백 눈꽃 매점강원특별자치도 태백시 소도동 49-1강원특별자치도 태백시 태백산로 4769 (소도동)2604337.13208128.961448YYYNN2023-09-12
15코레일유통(주) 태백2층 맞이방 편의점강원특별자치도 태백시 황지동 257강원특별자치도 태백시 서황지로 79, 태백역 (황지동)2600637.17634128.983381YYYNN2023-09-12
16GS25 태백구문소점강원특별자치도 태백시 장성동 216-31강원특별자치도 태백시 장성로 233, 1층 (장성동)2604737.10057129.021116YYYNN2023-09-12
17지에스(GS)25 태백가온점강원특별자치도 태백시 황지동 270-26강원특별자치도 태백시 서황지로 80, 가온빌딩 1층 (황지동)2600637.176711128.984423YYYNN2023-09-12
18(주)눈꽃참한우포크 축산물직영판매장강원특별자치도 태백시 화전동 14-79강원특별자치도 태백시 외솔배기길 46 (화전동)2600537.179337128.973798YYYNN2023-09-12
19씨유(CU)태백황연점강원특별자치도 태백시 황지동 274-89강원특별자치도 태백시 광장로 26 (황지동)2602637.17813128.98671YYYNN2023-09-12
20CU 태백 통리점강원특별자치도 태백시 통동 69-48강원특별자치도 태백시 강원남부로 455 (통동)2602937.1682129.035347YYYNN2023-09-12
21집밥뚝딱강원특별자치도 태백시 황지동 400-25강원특별자치도 태백시 대학길 58 (황지동)2603437.159773128.980123YYYNN2023-09-12