Overview

Dataset statistics

Number of variables12
Number of observations66
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.5 KiB
Average record size in memory101.0 B

Variable types

Text3
Numeric3
Boolean5
DateTime1

Dataset

Description전라북도 고창군 종량제 봉투 판매 정보( 판매처명, 지번주소, 도로명주소, 우편번호, 위도, 경도, 종량제봉투취급여부, 음식물납부필증(가정용)취급여부등에 관한 데이터
Author전라북도 고창군
URLhttps://www.data.go.kr/data/15096958/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 unique valuesUnique
경도 has unique valuesUnique

Reproduction

Analysis started2023-12-12 20:41:10.180094
Analysis finished2023-12-12 20:41:12.242866
Duration2.06 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

판매처명
Text

Distinct64
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size660.0 B
2023-12-13T05:41:12.442236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length13
Mean length7.6212121
Min length3

Characters and Unicode

Total characters503
Distinct characters138
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

Unique62 ?
Unique (%)93.9%

Sample

1st row선운산농협 선운산지소
2nd row주식회사 직거래장터
3rd row씨유고창주공점
4th row하이월드
5th row씨유 고창중앙점
ValueCountFrequency (%)
세븐일레븐 6
 
7.2%
씨유 5
 
6.0%
흥덕할인마트 2
 
2.4%
주식회사 2
 
2.4%
선운산농협 2
 
2.4%
ok할인마트 1
 
1.2%
대성농협 1
 
1.2%
대성농협성송지점 1
 
1.2%
산소빅마트 1
 
1.2%
대성슈퍼 1
 
1.2%
Other values (61) 61
73.5%
2023-12-13T05:41:12.864394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 28
 
5.6%
고 22
 
4.4%
븐 20
 
4.0%
마 18
 
3.6%
트 18
 
3.6%
창 17
 
3.4%
17
 
3.4%
협 15
 
3.0%
농 15
 
3.0%
일 12
 
2.4%
Other values (128) 321
63.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 468
93.0%
Space Separator 17
 
3.4%
Uppercase Letter 6
 
1.2%
Close Punctuation 4
 
0.8%
Open Punctuation 4
 
0.8%
Decimal Number 4
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 28
 
6.0%
고 22
 
4.7%
븐 20
 
4.3%
마 18
 
3.8%
트 18
 
3.8%
창 17
 
3.6%
협 15
 
3.2%
농 15
 
3.2%
일 12
 
2.6%
지 10
 
2.1%
Other values (117) 293
62.6%
Uppercase Letter
ValueCountFrequency (%)
O 1
16.7%
K 1
16.7%
G 1
16.7%
S 1
16.7%
U 1
16.7%
C 1
16.7%
Decimal Number
ValueCountFrequency (%)
2 2
50.0%
5 2
50.0%
Space Separator
ValueCountFrequency (%)
17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 468
93.0%
Common 29
 
5.8%
Latin 6
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 28
 
6.0%
고 22
 
4.7%
븐 20
 
4.3%
마 18
 
3.8%
트 18
 
3.8%
창 17
 
3.6%
협 15
 
3.2%
농 15
 
3.2%
일 12
 
2.6%
지 10
 
2.1%
Other values (117) 293
62.6%
Latin
ValueCountFrequency (%)
O 1
16.7%
K 1
16.7%
G 1
16.7%
S 1
16.7%
U 1
16.7%
C 1
16.7%
Common
ValueCountFrequency (%)
17
58.6%
) 4
 
13.8%
( 4
 
13.8%
2 2
 
6.9%
5 2
 
6.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 468
93.0%
ASCII 35
 
7.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 28
 
6.0%
고 22
 
4.7%
븐 20
 
4.3%
마 18
 
3.8%
트 18
 
3.8%
창 17
 
3.6%
협 15
 
3.2%
농 15
 
3.2%
일 12
 
2.6%
지 10
 
2.1%
Other values (117) 293
62.6%
ASCII
ValueCountFrequency (%)
17
48.6%
) 4
 
11.4%
( 4
 
11.4%
2 2
 
5.7%
5 2
 
5.7%
O 1
 
2.9%
K 1
 
2.9%
G 1
 
2.9%
S 1
 
2.9%
U 1
 
2.9%

지번 주소(선택)
Text

Distinct64
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size660.0 B
2023-12-13T05:41:13.148726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length20
Mean length19.590909
Min length13

Characters and Unicode

Total characters1293
Distinct characters70
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

Unique62 ?
Unique (%)93.9%

Sample

1st row전북 고창군 아산면 삼인리 393-1
2nd row전북 고창군 고창읍 읍내리 679-3
3rd row전북 고창군 월곡리 585-1
4th row전북 고창군 고창읍 읍내리 334
5th row전북 고창군 고창읍 교촌리 78
ValueCountFrequency (%)
전북 65
19.9%
고창군 65
19.9%
고창읍 11
 
3.4%
상하면 8
 
2.4%
흥덕면 8
 
2.4%
흥덕리 7
 
2.1%
대산면 6
 
1.8%
자룡리 6
 
1.8%
해리면 6
 
1.8%
읍내리 5
 
1.5%
Other values (98) 140
42.8%
2023-12-13T05:41:13.534906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
261
20.2%
고 77
 
6.0%
창 76
 
5.9%
리 71
 
5.5%
전 65
 
5.0%
군 65
 
5.0%
북 65
 
5.0%
- 56
 
4.3%
면 54
 
4.2%
1 39
 
3.0%
Other values (60) 464
35.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 718
55.5%
Space Separator 261
 
20.2%
Decimal Number 258
 
20.0%
Dash Punctuation 56
 
4.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
고 77
10.7%
창 76
 
10.6%
리 71
 
9.9%
전 65
 
9.1%
군 65
 
9.1%
북 65
 
9.1%
면 54
 
7.5%
산 20
 
2.8%
흥 18
 
2.5%
읍 16
 
2.2%
Other values (48) 191
26.6%
Decimal Number
ValueCountFrequency (%)
1 39
15.1%
3 36
14.0%
5 36
14.0%
2 33
12.8%
9 25
9.7%
8 23
8.9%
4 20
7.8%
6 18
7.0%
7 16
6.2%
0 12
 
4.7%
Space Separator
ValueCountFrequency (%)
261
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 56
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 718
55.5%
Common 575
44.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
고 77
10.7%
창 76
 
10.6%
리 71
 
9.9%
전 65
 
9.1%
군 65
 
9.1%
북 65
 
9.1%
면 54
 
7.5%
산 20
 
2.8%
흥 18
 
2.5%
읍 16
 
2.2%
Other values (48) 191
26.6%
Common
ValueCountFrequency (%)
261
45.4%
- 56
 
9.7%
1 39
 
6.8%
3 36
 
6.3%
5 36
 
6.3%
2 33
 
5.7%
9 25
 
4.3%
8 23
 
4.0%
4 20
 
3.5%
6 18
 
3.1%
Other values (2) 28
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 718
55.5%
ASCII 575
44.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
261
45.4%
- 56
 
9.7%
1 39
 
6.8%
3 36
 
6.3%
5 36
 
6.3%
2 33
 
5.7%
9 25
 
4.3%
8 23
 
4.0%
4 20
 
3.5%
6 18
 
3.1%
Other values (2) 28
 
4.9%
Hangul
ValueCountFrequency (%)
고 77
10.7%
창 76
 
10.6%
리 71
 
9.9%
전 65
 
9.1%
군 65
 
9.1%
북 65
 
9.1%
면 54
 
7.5%
산 20
 
2.8%
흥 18
 
2.5%
읍 16
 
2.2%
Other values (48) 191
26.6%

도로명 주소
Text

Distinct64
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size660.0 B
2023-12-13T05:41:13.835808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length21
Mean length18.924242
Min length15

Characters and Unicode

Total characters1249
Distinct characters88
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

Unique62 ?
Unique (%)93.9%

Sample

1st row전북 고창군 아산면 선운사로 158-1
2nd row전북 고창군고창읍 화신2길 26-8
3rd row전북 고창군 고창읍 월곡1길 45
4th row전북 고창군 고창읍 남정 10길 16
5th row전북 고창군 고창읍 중앙로 270
ValueCountFrequency (%)
고창군 65
20.2%
전북 63
19.6%
고창읍 11
 
3.4%
상하면 8
 
2.5%
흥덕면 8
 
2.5%
대성로 7
 
2.2%
대산면 6
 
1.9%
해리면 6
 
1.9%
심원로 5
 
1.6%
심원면 5
 
1.6%
Other values (106) 138
42.9%
2023-12-13T05:41:14.247593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
258
20.7%
고 83
 
6.6%
창 78
 
6.2%
군 66
 
5.3%
북 64
 
5.1%
전 63
 
5.0%
면 52
 
4.2%
1 51
 
4.1%
로 43
 
3.4%
2 29
 
2.3%
Other values (78) 462
37.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 774
62.0%
Space Separator 258
 
20.7%
Decimal Number 203
 
16.3%
Dash Punctuation 14
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
고 83
 
10.7%
창 78
 
10.1%
군 66
 
8.5%
북 64
 
8.3%
전 63
 
8.1%
면 52
 
6.7%
로 43
 
5.6%
길 22
 
2.8%
대 19
 
2.5%
읍 15
 
1.9%
Other values (66) 269
34.8%
Decimal Number
ValueCountFrequency (%)
1 51
25.1%
2 29
14.3%
5 22
10.8%
3 19
 
9.4%
7 17
 
8.4%
8 15
 
7.4%
4 15
 
7.4%
9 15
 
7.4%
0 11
 
5.4%
6 9
 
4.4%
Space Separator
ValueCountFrequency (%)
258
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 774
62.0%
Common 475
38.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
고 83
 
10.7%
창 78
 
10.1%
군 66
 
8.5%
북 64
 
8.3%
전 63
 
8.1%
면 52
 
6.7%
로 43
 
5.6%
길 22
 
2.8%
대 19
 
2.5%
읍 15
 
1.9%
Other values (66) 269
34.8%
Common
ValueCountFrequency (%)
258
54.3%
1 51
 
10.7%
2 29
 
6.1%
5 22
 
4.6%
3 19
 
4.0%
7 17
 
3.6%
8 15
 
3.2%
4 15
 
3.2%
9 15
 
3.2%
- 14
 
2.9%
Other values (2) 20
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 774
62.0%
ASCII 475
38.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
258
54.3%
1 51
 
10.7%
2 29
 
6.1%
5 22
 
4.6%
3 19
 
4.0%
7 17
 
3.6%
8 15
 
3.2%
4 15
 
3.2%
9 15
 
3.2%
- 14
 
2.9%
Other values (2) 20
 
4.2%
Hangul
ValueCountFrequency (%)
고 83
 
10.7%
창 78
 
10.1%
군 66
 
8.5%
북 64
 
8.3%
전 63
 
8.1%
면 52
 
6.7%
로 43
 
5.6%
길 22
 
2.8%
대 19
 
2.5%
읍 15
 
1.9%
Other values (66) 269
34.8%

우편번호
Real number (ℝ)

HIGH CORRELATION 

Distinct30
Distinct (%)45.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean56428.742
Minimum56400
Maximum56468
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T05:41:14.375347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum56400
5-th percentile56400
Q156408.5
median56423
Q356451.75
95-th percentile56468
Maximum56468
Range68
Interquartile range (IQR)43.25

Descriptive statistics

Standard deviation22.555443
Coefficient of variation (CV)0.0003997155
Kurtosis-1.1587486
Mean56428.742
Median Absolute Deviation (MAD)15
Skewness0.47455134
Sum3724297
Variance508.74802
MonotonicityNot monotonic
2023-12-13T05:41:14.524271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
56408 6
 
9.1%
56468 6
 
9.1%
56415 5
 
7.6%
56400 5
 
7.6%
56455 4
 
6.1%
56413 3
 
4.5%
56406 3
 
4.5%
56402 3
 
4.5%
56420 2
 
3.0%
56465 2
 
3.0%
Other values (20) 27
40.9%
ValueCountFrequency (%)
56400 5
7.6%
56402 3
4.5%
56406 3
4.5%
56408 6
9.1%
56410 2
 
3.0%
56413 3
4.5%
56415 5
7.6%
56416 2
 
3.0%
56417 1
 
1.5%
56420 2
 
3.0%
ValueCountFrequency (%)
56468 6
9.1%
56465 2
 
3.0%
56460 2
 
3.0%
56455 4
6.1%
56453 2
 
3.0%
56452 1
 
1.5%
56451 1
 
1.5%
56447 1
 
1.5%
56439 2
 
3.0%
56437 1
 
1.5%

위도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct66
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.454421
Minimum35.338743
Maximum35.540207
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T05:41:14.688495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.338743
5-th percentile35.340014
Q135.430764
median35.444536
Q335.517787
95-th percentile35.524215
Maximum35.540207
Range0.20146412
Interquartile range (IQR)0.087022732

Descriptive statistics

Standard deviation0.058246143
Coefficient of variation (CV)0.0016428457
Kurtosis-0.63391896
Mean35.454421
Median Absolute Deviation (MAD)0.04717233
Skewness-0.40638336
Sum2339.9918
Variance0.0033926132
MonotonicityNot monotonic
2023-12-13T05:41:14.894350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.5022959 1
 
1.5%
35.51962269 1
 
1.5%
35.51820406 1
 
1.5%
35.36565401 1
 
1.5%
35.33999897 1
 
1.5%
35.36600652 1
 
1.5%
35.33874294 1
 
1.5%
35.34090483 1
 
1.5%
35.33897972 1
 
1.5%
35.33883277 1
 
1.5%
Other values (56) 56
84.8%
ValueCountFrequency (%)
35.33874294 1
1.5%
35.33883277 1
1.5%
35.33897972 1
1.5%
35.33999897 1
1.5%
35.34006023 1
1.5%
35.34090483 1
1.5%
35.36565401 1
1.5%
35.36600652 1
1.5%
35.37809422 1
1.5%
35.37886724 1
1.5%
ValueCountFrequency (%)
35.54020706 1
1.5%
35.53989411 1
1.5%
35.52437512 1
1.5%
35.52427718 1
1.5%
35.52402778 1
1.5%
35.52393495 1
1.5%
35.52338722 1
1.5%
35.52125319 1
1.5%
35.52113309 1
1.5%
35.52111563 1
1.5%

경도
Real number (ℝ)

UNIQUE 

Distinct66
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.61287
Minimum126.43531
Maximum126.7414
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T05:41:15.070763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.43531
5-th percentile126.43624
Q1126.54936
median126.63602
Q3126.69949
95-th percentile126.71393
Maximum126.7414
Range0.3060906
Interquartile range (IQR)0.1501261

Descriptive statistics

Standard deviation0.09411419
Coefficient of variation (CV)0.00074332245
Kurtosis-1.0481959
Mean126.61287
Median Absolute Deviation (MAD)0.06737415
Skewness-0.48367695
Sum8356.4495
Variance0.0088574807
MonotonicityNot monotonic
2023-12-13T05:41:15.255621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.5865099 1
 
1.5%
126.6996432 1
 
1.5%
126.4840438 1
 
1.5%
126.6464811 1
 
1.5%
126.6010477 1
 
1.5%
126.6471532 1
 
1.5%
126.5994178 1
 
1.5%
126.5993189 1
 
1.5%
126.5999482 1
 
1.5%
126.60029 1
 
1.5%
Other values (56) 56
84.8%
ValueCountFrequency (%)
126.4353058 1
1.5%
126.4353594 1
1.5%
126.4358294 1
1.5%
126.4362319 1
1.5%
126.4362523 1
1.5%
126.4364204 1
1.5%
126.4833745 1
1.5%
126.4840438 1
1.5%
126.4857018 1
1.5%
126.4920231 1
1.5%
ValueCountFrequency (%)
126.7413964 1
1.5%
126.7410224 1
1.5%
126.7390742 1
1.5%
126.7151552 1
1.5%
126.7102738 1
1.5%
126.7099986 1
1.5%
126.7051096 1
1.5%
126.7041912 1
1.5%
126.7025951 1
1.5%
126.7025843 1
1.5%

종량제봉투취급여부
Boolean

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size198.0 B
True
66 
ValueCountFrequency (%)
True 66
100.0%
2023-12-13T05:41:15.406545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

음식물납부필증(가정용)취급여부
Boolean

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size198.0 B
True
66 
ValueCountFrequency (%)
True 66
100.0%
2023-12-13T05:41:15.505897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

음식물납부필증(120L)취급여부
Boolean

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size198.0 B
True
66 
ValueCountFrequency (%)
True 66
100.0%
2023-12-13T05:41:15.613430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

대형폐기물스티커취급여부
Boolean

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size198.0 B
False
66 
ValueCountFrequency (%)
False 66
100.0%
2023-12-13T05:41:15.710309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

특수규격봉투취급여부
Boolean

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size198.0 B
False
66 
ValueCountFrequency (%)
False 66
100.0%
2023-12-13T05:41:15.789234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size660.0 B
Minimum2021-12-22 00:00:00
Maximum2021-12-22 00:00:00
2023-12-13T05:41:15.872832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:41:15.975467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-13T05:41:11.522087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:41:10.818523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:41:11.180627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:41:11.649556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:41:10.940839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:41:11.289722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:41:11.768710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:41:11.068822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:41:11.416000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T05:41:16.055250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
판매처명지번 주소(선택)도로명 주소우편번호위도경도
판매처명1.0000.9990.9991.0001.0001.000
지번 주소(선택)0.9991.0001.0001.0001.0001.000
도로명 주소0.9991.0001.0001.0001.0001.000
우편번호1.0001.0001.0001.0000.8620.933
위도1.0001.0001.0000.8621.0000.860
경도1.0001.0001.0000.9330.8601.000
2023-12-13T05:41:16.172898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
우편번호위도경도
우편번호1.000-0.8110.306
위도-0.8111.0000.087
경도0.3060.0871.000

Missing values

2023-12-13T05:41:11.944544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T05:41:12.158078image/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
0선운산농협 선운산지소전북 고창군 아산면 삼인리 393-1전북 고창군 아산면 선운사로 158-15645235.502296126.58651yyynn2021-12-22
1주식회사 직거래장터전북 고창군 고창읍 읍내리 679-3전북 고창군고창읍 화신2길 26-85643635.437716126.694849yyynn2021-12-22
2씨유고창주공점전북 고창군 월곡리 585-1전북 고창군 고창읍 월곡1길 455642935.438527126.710274yyynn2021-12-22
3하이월드전북 고창군 고창읍 읍내리 334전북 고창군 고창읍 남정 10길 165643735.433521126.69869yyynn2021-12-22
4씨유 고창중앙점전북 고창군 고창읍 교촌리 78전북 고창군 고창읍 중앙로 2705643235.434937126.70511yyynn2021-12-22
5씨유 고창여중점전북 고창군 고창읍 석교리 8-14전북 고창군 고창읍 보릿골로 1695643535.440778126.696464yyynn2021-12-22
6지에스25고창삼일점전북 고창군 고창읍 읍내리 1135전북 고창군 고창읍 남구4길 25643935.428581126.694999yyynn2021-12-22
7GS25 고창터미널점전북 고창군 고창읍 읍내리 635전북 고창군 고창읍 중앙로 1955643335.435517126.696886yyynn2021-12-22
8세븐일레븐고창리안채점전북 고창군 고창읍 덕산리 989고창군 고창읍 보릿골로 57-155643935.430859126.694464yyynn2021-12-22
9세븐일레븐웰파크시티점전북 고창군 고창읍 석정리 783전북 고창군 고창읍 석정2로 1605645135.430732126.739074yyynn2021-12-22
판매처명지번 주소(선택)도로명 주소우편번호위도경도종량제봉투취급여부음식물납부필증(가정용)취급여부음식물납부필증(120L)취급여부대형폐기물스티커취급여부특수규격봉투취급여부데이터기준일자
56흥덕종합철물건재전북 고창군 흥덕면 흥덕리 240-12고창군 흥덕면 선운대로 37415641335.520532126.700375yyynn2021-12-22
57흥덕농협 성내지점전북 고창군 성내면 양계리 458-14전북 고창군 성내면 시기1길 575642035.540207126.741396yyynn2021-12-22
58성내마트전북 고창군 성내면 양계리 598-10전북 고창군 성내면 시기1길 495642035.539894126.741022yyynn2021-12-22
59흥덕농협하나로마트신림점전북 고창군 신림면 무림리 79-5전북 고창군 신림면 신림로 1605642235.488558126.715155yyynn2021-12-22
60씨유 고창고인돌점전북 고창군 신림면 무림리 550-14전북 고창군 신림면 고인돌대로 24225642435.49486126.701495yyynn2021-12-22
61고인돌휴게소(하행선)전북 고창군 신림면 벽송리 557-10전북 고창군 신림면 서해안고속도로 815642535.467503126.673289yyynn2021-12-22
62세븐일레븐 고창고인돌대로점전북 고창군 신림면 부송리 51-9전북 고창군 신림면 고인돌대로 19935642535.45739126.696313yyynn2021-12-22
63부안농협부안지점하나로마트전북 고창군 부안면 중흥리 163전북 고창군 부안면 인촌로 12505641635.513955126.673916yyynn2021-12-22
64주식회사 템앤파크홀딩스전북 고창군 부안면 용산리 44-46전북 고창군 부안면 복분자로 5135641735.50017126.653344yyynn2021-12-22
65씨유고창부안점전북 고창군 부안면 중흥리 138-2전북 고창군 부안면 복분자로 908-15641635.513419126.674861yyynn2021-12-22