Overview

Dataset statistics

Number of variables9
Number of observations142
Missing cells10
Missing cells (%)0.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.5 KiB
Average record size in memory75.9 B

Variable types

Numeric3
Categorical3
Text3

Dataset

Description전라남도 화순군 쓰레기종량제봉투 지정판매소 현황으로 시도 및 시군구 내역, 지정판매소 상호명칭, 지정판매소 주소 등의 정보를 제공합니다.
URLhttps://www.data.go.kr/data/15090499/fileData.do

Alerts

시도 has constant value ""Constant
시군구 has constant value ""Constant
데이터기준일 has constant value ""Constant
연번 is highly overall correlated with 위도High correlation
위도 is highly overall correlated with 연번High correlation
소재지도로명주소 has 10 (7.0%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 06:54:12.510717
Analysis finished2023-12-12 06:54:13.717042
Duration1.21 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct142
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean71.5
Minimum1
Maximum142
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-12T15:54:13.771217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8.05
Q136.25
median71.5
Q3106.75
95-th percentile134.95
Maximum142
Range141
Interquartile range (IQR)70.5

Descriptive statistics

Standard deviation41.135953
Coefficient of variation (CV)0.57532802
Kurtosis-1.2
Mean71.5
Median Absolute Deviation (MAD)35.5
Skewness0
Sum10153
Variance1692.1667
MonotonicityStrictly increasing
2023-12-12T15:54:13.890370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.7%
99 1
 
0.7%
93 1
 
0.7%
94 1
 
0.7%
95 1
 
0.7%
96 1
 
0.7%
97 1
 
0.7%
98 1
 
0.7%
100 1
 
0.7%
91 1
 
0.7%
Other values (132) 132
93.0%
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 (%)
142 1
0.7%
141 1
0.7%
140 1
0.7%
139 1
0.7%
138 1
0.7%
137 1
0.7%
136 1
0.7%
135 1
0.7%
134 1
0.7%
133 1
0.7%

시도
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
전라남도
142 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전라남도 142
100.0%

Length

2023-12-12T15:54:14.009388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:54:14.159449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전라남도 142
100.0%

시군구
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
화순군
142 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
화순군 142
100.0%

Length

2023-12-12T15:54:14.248234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:54:14.352118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
화순군 142
100.0%

상호명
Text

Distinct141
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-12T15:54:14.567272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length6.2253521
Min length3

Characters and Unicode

Total characters884
Distinct characters213
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

Unique140 ?
Unique (%)98.6%

Sample

1st row용암슈퍼
2nd row한천우체국
3rd row능주농협영외지소
4th row능주농협한천지소
5th row용소폭포농원
ValueCountFrequency (%)
골목수퍼 2
 
1.3%
미니스톱 2
 
1.3%
클레프 1
 
0.6%
쌍둥이종합상사바로존 1
 
0.6%
부영1차마트 1
 
0.6%
화순종합쇼핑 1
 
0.6%
화순축협(광덕지점 1
 
0.6%
화순축협향청지점 1
 
0.6%
dc하우스 1
 
0.6%
미니스톱화순광덕점 1
 
0.6%
Other values (142) 142
92.2%
2023-12-12T15:54:15.040221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 41
 
4.6%
화 36
 
4.1%
순 35
 
4.0%
마 29
 
3.3%
트 29
 
3.3%
퍼 27
 
3.1%
슈 24
 
2.7%
회 20
 
2.3%
상 20
 
2.3%
농 15
 
1.7%
Other values (203) 608
68.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 812
91.9%
Decimal Number 24
 
2.7%
Uppercase Letter 20
 
2.3%
Space Separator 12
 
1.4%
Open Punctuation 7
 
0.8%
Close Punctuation 7
 
0.8%
Dash Punctuation 1
 
0.1%
Lowercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 41
 
5.0%
화 36
 
4.4%
순 35
 
4.3%
마 29
 
3.6%
트 29
 
3.6%
퍼 27
 
3.3%
슈 24
 
3.0%
회 20
 
2.5%
상 20
 
2.5%
농 15
 
1.8%
Other values (186) 536
66.0%
Decimal Number
ValueCountFrequency (%)
2 8
33.3%
5 6
25.0%
4 4
16.7%
1 3
 
12.5%
0 1
 
4.2%
6 1
 
4.2%
9 1
 
4.2%
Uppercase Letter
ValueCountFrequency (%)
C 5
25.0%
S 5
25.0%
G 5
25.0%
U 4
20.0%
D 1
 
5.0%
Space Separator
ValueCountFrequency (%)
12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 812
91.9%
Common 51
 
5.8%
Latin 21
 
2.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 41
 
5.0%
화 36
 
4.4%
순 35
 
4.3%
마 29
 
3.6%
트 29
 
3.6%
퍼 27
 
3.3%
슈 24
 
3.0%
회 20
 
2.5%
상 20
 
2.5%
농 15
 
1.8%
Other values (186) 536
66.0%
Common
ValueCountFrequency (%)
12
23.5%
2 8
15.7%
( 7
13.7%
) 7
13.7%
5 6
11.8%
4 4
 
7.8%
1 3
 
5.9%
0 1
 
2.0%
- 1
 
2.0%
6 1
 
2.0%
Latin
ValueCountFrequency (%)
C 5
23.8%
S 5
23.8%
G 5
23.8%
U 4
19.0%
D 1
 
4.8%
e 1
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 812
91.9%
ASCII 72
 
8.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 41
 
5.0%
화 36
 
4.4%
순 35
 
4.3%
마 29
 
3.6%
트 29
 
3.6%
퍼 27
 
3.3%
슈 24
 
3.0%
회 20
 
2.5%
상 20
 
2.5%
농 15
 
1.8%
Other values (186) 536
66.0%
ASCII
ValueCountFrequency (%)
12
16.7%
2 8
11.1%
( 7
9.7%
) 7
9.7%
5 6
8.3%
C 5
6.9%
S 5
6.9%
G 5
6.9%
4 4
 
5.6%
U 4
 
5.6%
Other values (7) 9
12.5%

소재지도로명주소
Text

MISSING 

Distinct130
Distinct (%)98.5%
Missing10
Missing (%)7.0%
Memory size1.2 KiB
2023-12-12T15:54:15.511519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length23
Mean length19.924242
Min length17

Characters and Unicode

Total characters2630
Distinct characters107
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

Unique128 ?
Unique (%)97.0%

Sample

1st row전라남도 화순군 한천면 한계2길 25-3
2nd row전라남도 화순군 한천면 한계1길 28
3rd row전라남도 화순군 한천면 외남로 425
4th row전라남도 화순군 한천면 죽헌로 277
5th row전라남도 화순군 한천면 죽헌로 1067
ValueCountFrequency (%)
전라남도 132
20.0%
화순군 132
20.0%
화순읍 69
 
10.5%
동면 12
 
1.8%
광덕로 11
 
1.7%
충의로 11
 
1.7%
칠충로 9
 
1.4%
도곡면 9
 
1.4%
능주면 9
 
1.4%
백아면 7
 
1.1%
Other values (185) 259
39.2%
2023-12-12T15:54:16.097541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
528
20.1%
화 201
 
7.6%
순 201
 
7.6%
도 143
 
5.4%
전 133
 
5.1%
남 133
 
5.1%
군 132
 
5.0%
라 132
 
5.0%
1 90
 
3.4%
로 84
 
3.2%
Other values (97) 853
32.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1717
65.3%
Space Separator 528
 
20.1%
Decimal Number 361
 
13.7%
Dash Punctuation 24
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
화 201
11.7%
순 201
11.7%
도 143
 
8.3%
전 133
 
7.7%
남 133
 
7.7%
군 132
 
7.7%
라 132
 
7.7%
로 84
 
4.9%
읍 69
 
4.0%
면 63
 
3.7%
Other values (85) 426
24.8%
Decimal Number
ValueCountFrequency (%)
1 90
24.9%
2 52
14.4%
3 37
10.2%
4 35
 
9.7%
7 28
 
7.8%
9 28
 
7.8%
5 26
 
7.2%
6 25
 
6.9%
8 25
 
6.9%
0 15
 
4.2%
Space Separator
ValueCountFrequency (%)
528
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1717
65.3%
Common 913
34.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
화 201
11.7%
순 201
11.7%
도 143
 
8.3%
전 133
 
7.7%
남 133
 
7.7%
군 132
 
7.7%
라 132
 
7.7%
로 84
 
4.9%
읍 69
 
4.0%
면 63
 
3.7%
Other values (85) 426
24.8%
Common
ValueCountFrequency (%)
528
57.8%
1 90
 
9.9%
2 52
 
5.7%
3 37
 
4.1%
4 35
 
3.8%
7 28
 
3.1%
9 28
 
3.1%
5 26
 
2.8%
6 25
 
2.7%
8 25
 
2.7%
Other values (2) 39
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1717
65.3%
ASCII 913
34.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
528
57.8%
1 90
 
9.9%
2 52
 
5.7%
3 37
 
4.1%
4 35
 
3.8%
7 28
 
3.1%
9 28
 
3.1%
5 26
 
2.8%
6 25
 
2.7%
8 25
 
2.7%
Other values (2) 39
 
4.3%
Hangul
ValueCountFrequency (%)
화 201
11.7%
순 201
11.7%
도 143
 
8.3%
전 133
 
7.7%
남 133
 
7.7%
군 132
 
7.7%
라 132
 
7.7%
로 84
 
4.9%
읍 69
 
4.0%
면 63
 
3.7%
Other values (85) 426
24.8%

소재지지번주소
Text

Distinct139
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-12T15:54:16.579505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length23
Mean length20.830986
Min length18

Characters and Unicode

Total characters2958
Distinct characters82
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

Unique136 ?
Unique (%)95.8%

Sample

1st row전라남도 화순군 한천면 한계리 612
2nd row전라남도 화순군 한천면 한계리 559
3rd row전라남도 화순군 한천면 정우리 356-1
4th row전라남도 화순군 한천면 한계리 647-1
5th row전라남도 화순군 한천면 반곡리 산 55-2
ValueCountFrequency (%)
전라남도 142
20.0%
화순군 142
20.0%
화순읍 70
 
9.8%
동면 18
 
2.5%
만연리 12
 
1.7%
광덕리 11
 
1.5%
도곡면 10
 
1.4%
삼천리 9
 
1.3%
동복면 9
 
1.3%
능주면 9
 
1.3%
Other values (192) 279
39.2%
2023-12-12T15:54:17.194204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
574
19.4%
화 216
 
7.3%
순 212
 
7.2%
도 153
 
5.2%
남 144
 
4.9%
라 144
 
4.9%
전 143
 
4.8%
군 142
 
4.8%
리 142
 
4.8%
1 84
 
2.8%
Other values (72) 1004
33.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1809
61.2%
Space Separator 574
 
19.4%
Decimal Number 497
 
16.8%
Dash Punctuation 78
 
2.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
화 216
11.9%
순 212
11.7%
도 153
8.5%
남 144
 
8.0%
라 144
 
8.0%
전 143
 
7.9%
군 142
 
7.8%
리 142
 
7.8%
면 72
 
4.0%
읍 70
 
3.9%
Other values (60) 371
20.5%
Decimal Number
ValueCountFrequency (%)
1 84
16.9%
3 65
13.1%
2 61
12.3%
5 51
10.3%
4 45
9.1%
0 45
9.1%
6 43
8.7%
7 40
8.0%
8 33
 
6.6%
9 30
 
6.0%
Space Separator
ValueCountFrequency (%)
574
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 78
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1809
61.2%
Common 1149
38.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
화 216
11.9%
순 212
11.7%
도 153
8.5%
남 144
 
8.0%
라 144
 
8.0%
전 143
 
7.9%
군 142
 
7.8%
리 142
 
7.8%
면 72
 
4.0%
읍 70
 
3.9%
Other values (60) 371
20.5%
Common
ValueCountFrequency (%)
574
50.0%
1 84
 
7.3%
- 78
 
6.8%
3 65
 
5.7%
2 61
 
5.3%
5 51
 
4.4%
4 45
 
3.9%
0 45
 
3.9%
6 43
 
3.7%
7 40
 
3.5%
Other values (2) 63
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1809
61.2%
ASCII 1149
38.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
574
50.0%
1 84
 
7.3%
- 78
 
6.8%
3 65
 
5.7%
2 61
 
5.3%
5 51
 
4.4%
4 45
 
3.9%
0 45
 
3.9%
6 43
 
3.7%
7 40
 
3.5%
Other values (2) 63
 
5.5%
Hangul
ValueCountFrequency (%)
화 216
11.9%
순 212
11.7%
도 153
8.5%
남 144
 
8.0%
라 144
 
8.0%
전 143
 
7.9%
군 142
 
7.8%
리 142
 
7.8%
면 72
 
4.0%
읍 70
 
3.9%
Other values (60) 371
20.5%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct139
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.042683
Minimum34.882816
Maximum35.190197
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-12T15:54:17.373653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34.882816
5-th percentile34.975952
Q135.027882
median35.055657
Q335.061851
95-th percentile35.110083
Maximum35.190197
Range0.30738052
Interquartile range (IQR)0.033968982

Descriptive statistics

Standard deviation0.047697575
Coefficient of variation (CV)0.001361128
Kurtosis2.9559925
Mean35.042683
Median Absolute Deviation (MAD)0.012232005
Skewness-0.25593959
Sum4976.0609
Variance0.0022750587
MonotonicityNot monotonic
2023-12-12T15:54:17.554534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.05794709 2
 
1.4%
35.0712519 2
 
1.4%
35.063096 2
 
1.4%
35.0613045 1
 
0.7%
35.06028179 1
 
0.7%
35.05875615 1
 
0.7%
35.05535518 1
 
0.7%
35.06021189 1
 
0.7%
35.05786755 1
 
0.7%
35.06582734 1
 
0.7%
Other values (129) 129
90.8%
ValueCountFrequency (%)
34.88281612 1
0.7%
34.88402321 1
0.7%
34.88736074 1
0.7%
34.9359964 1
0.7%
34.94174594 1
0.7%
34.9513084 1
0.7%
34.97438917 1
0.7%
34.97594963 1
0.7%
34.97599528 1
0.7%
34.97670159 1
0.7%
ValueCountFrequency (%)
35.19019664 1
0.7%
35.17308858 1
0.7%
35.1730595 1
0.7%
35.16664228 1
0.7%
35.16367094 1
0.7%
35.16015466 1
0.7%
35.1391111 1
0.7%
35.11086161 1
0.7%
35.0952871 1
0.7%
35.07549172 1
0.7%

경도
Real number (ℝ)

Distinct139
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.00725
Minimum126.89793
Maximum127.15062
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-12T15:54:17.728045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.89793
5-th percentile126.9144
Q1126.98095
median126.99081
Q3127.03963
95-th percentile127.12732
Maximum127.15062
Range0.2526916
Interquartile range (IQR)0.058682375

Descriptive statistics

Standard deviation0.057987828
Coefficient of variation (CV)0.00045657101
Kurtosis-0.011135465
Mean127.00725
Median Absolute Deviation (MAD)0.01430135
Skewness0.67146094
Sum18035.029
Variance0.0033625882
MonotonicityNot monotonic
2023-12-12T15:54:17.947608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.9873588 2
 
1.4%
127.12732 2
 
1.4%
126.9927033 2
 
1.4%
126.9840118 1
 
0.7%
126.9909448 1
 
0.7%
126.9925968 1
 
0.7%
126.9804856 1
 
0.7%
126.993031 1
 
0.7%
126.9922185 1
 
0.7%
126.9872105 1
 
0.7%
Other values (129) 129
90.8%
ValueCountFrequency (%)
126.8979297 1
0.7%
126.9027909 1
0.7%
126.9046075 1
0.7%
126.9059114 1
0.7%
126.9062466 1
0.7%
126.9069263 1
0.7%
126.9081387 1
0.7%
126.9142731 1
0.7%
126.9168772 1
0.7%
126.9171846 1
0.7%
ValueCountFrequency (%)
127.1506213 1
0.7%
127.1342169 1
0.7%
127.1325325 1
0.7%
127.1324756 1
0.7%
127.1288971 1
0.7%
127.1283626 1
0.7%
127.1275921 1
0.7%
127.12732 2
1.4%
127.1262705 1
0.7%
127.1213123 1
0.7%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-08-18
142 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-08-18
2nd row2023-08-18
3rd row2023-08-18
4th row2023-08-18
5th row2023-08-18

Common Values

ValueCountFrequency (%)
2023-08-18 142
100.0%

Length

2023-12-12T15:54:18.124809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:54:18.230254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-08-18 142
100.0%

Interactions

2023-12-12T15:54:13.317510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:54:12.825485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:54:13.080891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:54:13.393233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:54:12.912963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:54:13.163570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:54:13.459595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:54:12.996986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:54:13.245313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T15:54:18.295724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도
연번1.0000.8760.884
위도0.8761.0000.837
경도0.8840.8371.000
2023-12-12T15:54:18.390805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도
연번1.0000.520-0.095
위도0.5201.0000.302
경도-0.0950.3021.000

Missing values

2023-12-12T15:54:13.569282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:54:13.676310image/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

연번시도시군구상호명소재지도로명주소소재지지번주소위도경도데이터기준일
01전라남도화순군용암슈퍼전라남도 화순군 한천면 한계2길 25-3전라남도 화순군 한천면 한계리 61234.975995126.999592023-08-18
12전라남도화순군한천우체국전라남도 화순군 한천면 한계1길 28전라남도 화순군 한천면 한계리 55934.976702126.9981142023-08-18
23전라남도화순군능주농협영외지소전라남도 화순군 한천면 외남로 425전라남도 화순군 한천면 정우리 356-134.974389127.0726632023-08-18
34전라남도화순군능주농협한천지소전라남도 화순군 한천면 죽헌로 277전라남도 화순군 한천면 한계리 647-134.97809127.0000932023-08-18
45전라남도화순군용소폭포농원전라남도 화순군 한천면 죽헌로 1067전라남도 화순군 한천면 반곡리 산 55-234.980246127.0560612023-08-18
56전라남도화순군부영가든전라남도 화순군 한천면 한계1길 13전라남도 화순군 한천면 한계리 56734.97595126.9969742023-08-18
67전라남도화순군춘양 농협전라남도 화순군 춘양면 춘양로 92전라남도 화순군 춘양면 석정리 573-1634.951308126.9605882023-08-18
78전라남도화순군그린매점전라남도 화순군 춘양면 학포로 1213-55전라남도 화순군 춘양면 용두리 401-734.941746126.9782972023-08-18
89전라남도화순군대성상회전라남도 화순군 이양면 이양로 47전라남도 화순군 이양면 이양리 617-534.884023126.9879962023-08-18
910전라남도화순군은하슈퍼전라남도 화순군 이양면 이양로 33-1전라남도 화순군 이양면 이양리 313-134.882816126.9876862023-08-18
연번시도시군구상호명소재지도로명주소소재지지번주소위도경도데이터기준일
132133전라남도화순군세븐일레븐화순군청점전라남도 화순군 화순읍 진각로 137전라남도 화순군 화순읍 훈리 37-1035.063591126.9866032023-08-18
133134전라남도화순군CU화순만연점전라남도 화순군 화순읍 서양로 470전라남도 화순군 화순읍 신기리 337-635.068475126.9897562023-08-18
134135전라남도화순군이마트24전남화순고점전라남도 화순군 화순읍 충의로 64전라남도 화순군 화순읍 삼천리 580-635.055503126.9847492023-08-18
135136전라남도화순군이마트24 화순금호점전라남도 화순군 화순읍 만연로 72-4전라남도 화순군 화순읍 만연리 238-535.061926126.9911592023-08-18
136137전라남도화순군이마트24화순중앙점전라남도 화순군 화순읍 칠충로 95전라남도 화순군 화순읍 삼천리 641-335.057953126.9806062023-08-18
137138전라남도화순군해와달전라남도 화순군 화순읍 덕음로 999전라남도 화순군 화순읍 삼천리 37835.049161126.9850052023-08-18
138139전라남도화순군CU화순서양로점전라남도 화순군 화순읍 중앙로 171전라남도 화순군 화순읍 일심리 41035.060603127.000212023-08-18
139140전라남도화순군GS25화순광덕점전라남도 화순군 화순읍 충의로 115전라남도 화순군 화순읍 광덕리 37035.055869126.9903572023-08-18
140141전라남도화순군세븐일레븐화순부처샘전라남도 화순군 화순읍 부처샘길 2-16전라남도 화순군 화순읍 신기리 404-835.065971126.9906282023-08-18
141142전라남도화순군GS25화순대광점전라남도 화순군 화순읍 칠충로 44전라남도 화순군 화순읍 대리 12135.054348126.9769562023-08-18