Overview

Dataset statistics

Number of variables11
Number of observations158
Missing cells1
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory14.2 KiB
Average record size in memory91.8 B

Variable types

Numeric3
Categorical5
Text3

Dataset

Description광주광역시 광산구 관내 공동주택에 위치한 폐의약품 수거함 현황 정보(시도명, 시군구명, 구분, 설치장소명, 주소, 위도, 경도, 전화번호 등)를 제공합니다.
Author광주광역시 광산구
URLhttps://www.data.go.kr/data/15108775/fileData.do

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
구분 has constant value ""Constant
관리부서명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
위도 is highly overall correlated with 경도High correlation
경도 is highly overall correlated with 위도High correlation
연번 has unique valuesUnique
설치장소명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 16:05:47.269388
Analysis finished2023-12-12 16:05:48.599229
Duration1.33 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct158
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean79.5
Minimum1
Maximum158
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-12-13T01:05:48.672253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8.85
Q140.25
median79.5
Q3118.75
95-th percentile150.15
Maximum158
Range157
Interquartile range (IQR)78.5

Descriptive statistics

Standard deviation45.754781
Coefficient of variation (CV)0.57553184
Kurtosis-1.2
Mean79.5
Median Absolute Deviation (MAD)39.5
Skewness0
Sum12561
Variance2093.5
MonotonicityStrictly increasing
2023-12-13T01:05:48.830245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.6%
110 1
 
0.6%
103 1
 
0.6%
104 1
 
0.6%
105 1
 
0.6%
106 1
 
0.6%
107 1
 
0.6%
108 1
 
0.6%
109 1
 
0.6%
111 1
 
0.6%
Other values (148) 148
93.7%
ValueCountFrequency (%)
1 1
0.6%
2 1
0.6%
3 1
0.6%
4 1
0.6%
5 1
0.6%
6 1
0.6%
7 1
0.6%
8 1
0.6%
9 1
0.6%
10 1
0.6%
ValueCountFrequency (%)
158 1
0.6%
157 1
0.6%
156 1
0.6%
155 1
0.6%
154 1
0.6%
153 1
0.6%
152 1
0.6%
151 1
0.6%
150 1
0.6%
149 1
0.6%

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
광주광역시
158 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
광주광역시 158
100.0%

Length

2023-12-13T01:05:48.955513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:05:49.039133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
광주광역시 158
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
광산구
158 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
광산구 158
100.0%

Length

2023-12-13T01:05:49.424614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:05:49.515975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
광산구 158
100.0%

구분
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
공동주택
158 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공동주택 158
100.0%

Length

2023-12-13T01:05:49.621280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:05:49.728967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공동주택 158
100.0%

설치장소명
Text

UNIQUE 

Distinct158
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-13T01:05:49.938844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length16
Mean length7.7721519
Min length2

Characters and Unicode

Total characters1228
Distinct characters183
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

Unique158 ?
Unique (%)100.0%

Sample

1st row송정라인2차
2nd row명지
3rd row수완2차우미린
4th row첨단신동아
5th row수완2차부영사랑으로
ValueCountFrequency (%)
수완 5
 
2.2%
2차 5
 
2.2%
선운지구 4
 
1.8%
첨단 3
 
1.3%
2단지 3
 
1.3%
모아엘가 3
 
1.3%
1차 3
 
1.3%
다사로움 2
 
0.9%
도시공사 2
 
0.9%
대성베르힐 2
 
0.9%
Other values (175) 193
85.8%
2023-12-13T01:05:50.340400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
68
 
5.5%
차 56
 
4.6%
단 55
 
4.5%
2 42
 
3.4%
첨 34
 
2.8%
지 32
 
2.6%
아 29
 
2.4%
1 27
 
2.2%
주 26
 
2.1%
수 24
 
2.0%
Other values (173) 835
68.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1007
82.0%
Decimal Number 99
 
8.1%
Space Separator 68
 
5.5%
Uppercase Letter 23
 
1.9%
Lowercase Letter 10
 
0.8%
Open Punctuation 8
 
0.7%
Close Punctuation 8
 
0.7%
Dash Punctuation 5
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
차 56
 
5.6%
단 55
 
5.5%
첨 34
 
3.4%
지 32
 
3.2%
아 29
 
2.9%
주 26
 
2.6%
수 24
 
2.4%
남 21
 
2.1%
완 20
 
2.0%
신 19
 
1.9%
Other values (150) 691
68.6%
Decimal Number
ValueCountFrequency (%)
2 42
42.4%
1 27
27.3%
3 15
 
15.2%
6 5
 
5.1%
5 3
 
3.0%
8 3
 
3.0%
7 2
 
2.0%
9 1
 
1.0%
0 1
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
S 6
26.1%
L 5
21.7%
H 4
17.4%
E 3
13.0%
G 3
13.0%
A 1
 
4.3%
C 1
 
4.3%
Lowercase Letter
ValueCountFrequency (%)
e 4
40.0%
t 3
30.0%
h 3
30.0%
Space Separator
ValueCountFrequency (%)
68
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1007
82.0%
Common 188
 
15.3%
Latin 33
 
2.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
차 56
 
5.6%
단 55
 
5.5%
첨 34
 
3.4%
지 32
 
3.2%
아 29
 
2.9%
주 26
 
2.6%
수 24
 
2.4%
남 21
 
2.1%
완 20
 
2.0%
신 19
 
1.9%
Other values (150) 691
68.6%
Common
ValueCountFrequency (%)
68
36.2%
2 42
22.3%
1 27
 
14.4%
3 15
 
8.0%
( 8
 
4.3%
) 8
 
4.3%
- 5
 
2.7%
6 5
 
2.7%
5 3
 
1.6%
8 3
 
1.6%
Other values (3) 4
 
2.1%
Latin
ValueCountFrequency (%)
S 6
18.2%
L 5
15.2%
H 4
12.1%
e 4
12.1%
t 3
9.1%
E 3
9.1%
G 3
9.1%
h 3
9.1%
A 1
 
3.0%
C 1
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1007
82.0%
ASCII 221
 
18.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
68
30.8%
2 42
19.0%
1 27
 
12.2%
3 15
 
6.8%
( 8
 
3.6%
) 8
 
3.6%
S 6
 
2.7%
L 5
 
2.3%
- 5
 
2.3%
6 5
 
2.3%
Other values (13) 32
14.5%
Hangul
ValueCountFrequency (%)
차 56
 
5.6%
단 55
 
5.5%
첨 34
 
3.4%
지 32
 
3.2%
아 29
 
2.9%
주 26
 
2.6%
수 24
 
2.4%
남 21
 
2.1%
완 20
 
2.0%
신 19
 
1.9%
Other values (150) 691
68.6%

주소
Text

Distinct157
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-13T01:05:50.640190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length25
Mean length20.962025
Min length15

Characters and Unicode

Total characters3312
Distinct characters76
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

Unique156 ?
Unique (%)98.7%

Sample

1st row 광주광역시 광산구 상무대로 137-2
2nd row 광주광역시 광산구 송도로320번길 11
3rd row 광주광역시 광산구 왕버들로132번길 22
4th row 광주광역시 광산구 첨단중앙로181번길 88-22
5th row 광주광역시 광산구 풍영로 294-8
ValueCountFrequency (%)
광주광역시 158
25.3%
광산구 158
25.3%
임방울대로 10
 
1.6%
첨단중앙로181번길 10
 
1.6%
월곡산정로 5
 
0.8%
월계로 5
 
0.8%
소촌로152번길 4
 
0.6%
첨단중앙로68번길 4
 
0.6%
15 4
 
0.6%
46 4
 
0.6%
Other values (205) 262
42.0%
2023-12-13T01:05:51.039354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
558
16.8%
광 475
14.3%
산 173
 
5.2%
주 158
 
4.8%
역 158
 
4.8%
시 158
 
4.8%
구 158
 
4.8%
로 153
 
4.6%
1 148
 
4.5%
2 112
 
3.4%
Other values (66) 1061
32.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2039
61.6%
Decimal Number 677
 
20.4%
Space Separator 558
 
16.8%
Dash Punctuation 38
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 475
23.3%
산 173
 
8.5%
주 158
 
7.7%
역 158
 
7.7%
시 158
 
7.7%
구 158
 
7.7%
로 153
 
7.5%
길 104
 
5.1%
번 99
 
4.9%
대 25
 
1.2%
Other values (54) 378
18.5%
Decimal Number
ValueCountFrequency (%)
1 148
21.9%
2 112
16.5%
5 67
9.9%
8 62
9.2%
3 61
9.0%
6 56
 
8.3%
7 53
 
7.8%
0 48
 
7.1%
4 44
 
6.5%
9 26
 
3.8%
Space Separator
ValueCountFrequency (%)
558
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 38
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2039
61.6%
Common 1273
38.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 475
23.3%
산 173
 
8.5%
주 158
 
7.7%
역 158
 
7.7%
시 158
 
7.7%
구 158
 
7.7%
로 153
 
7.5%
길 104
 
5.1%
번 99
 
4.9%
대 25
 
1.2%
Other values (54) 378
18.5%
Common
ValueCountFrequency (%)
558
43.8%
1 148
 
11.6%
2 112
 
8.8%
5 67
 
5.3%
8 62
 
4.9%
3 61
 
4.8%
6 56
 
4.4%
7 53
 
4.2%
0 48
 
3.8%
4 44
 
3.5%
Other values (2) 64
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2039
61.6%
ASCII 1273
38.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
558
43.8%
1 148
 
11.6%
2 112
 
8.8%
5 67
 
5.3%
8 62
 
4.9%
3 61
 
4.8%
6 56
 
4.4%
7 53
 
4.2%
0 48
 
3.8%
4 44
 
3.5%
Other values (2) 64
 
5.0%
Hangul
ValueCountFrequency (%)
광 475
23.3%
산 173
 
8.5%
주 158
 
7.7%
역 158
 
7.7%
시 158
 
7.7%
구 158
 
7.7%
로 153
 
7.5%
길 104
 
5.1%
번 99
 
4.9%
대 25
 
1.2%
Other values (54) 378
18.5%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct157
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.178813
Minimum35.126309
Maximum35.223477
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-12-13T01:05:51.175187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.126309
5-th percentile35.130408
Q135.153154
median35.181011
Q335.209896
95-th percentile35.220346
Maximum35.223477
Range0.097168
Interquartile range (IQR)0.056741925

Descriptive statistics

Standard deviation0.030091427
Coefficient of variation (CV)0.00085538494
Kurtosis-1.2238152
Mean35.178813
Median Absolute Deviation (MAD)0.02875595
Skewness-0.11240717
Sum5558.2525
Variance0.00090549398
MonotonicityNot monotonic
2023-12-13T01:05:51.314693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.1587806 2
 
1.3%
35.1331895 1
 
0.6%
35.2191842 1
 
0.6%
35.1649809 1
 
0.6%
35.1658661 1
 
0.6%
35.1640172 1
 
0.6%
35.1745064 1
 
0.6%
35.2164442 1
 
0.6%
35.2171255 1
 
0.6%
35.2180841 1
 
0.6%
Other values (147) 147
93.0%
ValueCountFrequency (%)
35.1263091 1
0.6%
35.1275099 1
0.6%
35.1281615 1
0.6%
35.1284683 1
0.6%
35.1288518 1
0.6%
35.1289971 1
0.6%
35.1298426 1
0.6%
35.1302752 1
0.6%
35.1304311 1
0.6%
35.1304539 1
0.6%
ValueCountFrequency (%)
35.2234771 1
0.6%
35.2215375 1
0.6%
35.2215191 1
0.6%
35.2215119 1
0.6%
35.2210921 1
0.6%
35.2209622 1
0.6%
35.2209186 1
0.6%
35.2206296 1
0.6%
35.220296 1
0.6%
35.2201625 1
0.6%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct157
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.81633
Minimum126.75754
Maximum126.8511
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-12-13T01:05:51.463656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.75754
5-th percentile126.7847
Q1126.7987
median126.81537
Q3126.8353
95-th percentile126.84788
Maximum126.8511
Range0.0935549
Interquartile range (IQR)0.0365984

Descriptive statistics

Standard deviation0.020700882
Coefficient of variation (CV)0.00016323515
Kurtosis-0.84642327
Mean126.81633
Median Absolute Deviation (MAD)0.01854555
Skewness-0.17250602
Sum20036.98
Variance0.00042852652
MonotonicityNot monotonic
2023-12-13T01:05:51.608397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.7927218 2
 
1.3%
126.7880963 1
 
0.6%
126.8362906 1
 
0.6%
126.806252 1
 
0.6%
126.8064367 1
 
0.6%
126.8118312 1
 
0.6%
126.8198461 1
 
0.6%
126.8306952 1
 
0.6%
126.830301 1
 
0.6%
126.8362404 1
 
0.6%
Other values (147) 147
93.0%
ValueCountFrequency (%)
126.7575444 1
0.6%
126.7731757 1
0.6%
126.7758889 1
0.6%
126.7762921 1
0.6%
126.7778425 1
0.6%
126.7780388 1
0.6%
126.779752 1
0.6%
126.7828606 1
0.6%
126.7850197 1
0.6%
126.7874547 1
0.6%
ValueCountFrequency (%)
126.8510993 1
0.6%
126.8504164 1
0.6%
126.8503693 1
0.6%
126.8498862 1
0.6%
126.8485163 1
0.6%
126.8484476 1
0.6%
126.8483204 1
0.6%
126.8481197 1
0.6%
126.847836 1
0.6%
126.8468869 1
0.6%

전화번호
Text

Distinct155
Distinct (%)98.7%
Missing1
Missing (%)0.6%
Memory size1.4 KiB
2023-12-13T01:05:51.855590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.006369
Min length12

Characters and Unicode

Total characters1885
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

Unique153 ?
Unique (%)97.5%

Sample

1st row062-945-1362
2nd row062-945-5018
3rd row062-953-0364
4th row062-971-1999
5th row062-953-0262
ValueCountFrequency (%)
062-945-7677 2
 
1.3%
062-942-4312 2
 
1.3%
062-959-3538 1
 
0.6%
062-972-0396 1
 
0.6%
062-972-2289 1
 
0.6%
062-959-0970 1
 
0.6%
062-951-7958 1
 
0.6%
062-954-3882 1
 
0.6%
062-951-5256 1
 
0.6%
062-952-6448 1
 
0.6%
Other values (145) 145
92.4%
2023-12-13T01:05:52.205820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 314
16.7%
2 271
14.4%
6 255
13.5%
0 235
12.5%
9 200
10.6%
5 137
7.3%
4 114
 
6.0%
1 113
 
6.0%
7 97
 
5.1%
3 89
 
4.7%
Other values (2) 60
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1570
83.3%
Dash Punctuation 314
 
16.7%
Space Separator 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 271
17.3%
6 255
16.2%
0 235
15.0%
9 200
12.7%
5 137
8.7%
4 114
7.3%
1 113
7.2%
7 97
 
6.2%
3 89
 
5.7%
8 59
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 314
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1885
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 314
16.7%
2 271
14.4%
6 255
13.5%
0 235
12.5%
9 200
10.6%
5 137
7.3%
4 114
 
6.0%
1 113
 
6.0%
7 97
 
5.1%
3 89
 
4.7%
Other values (2) 60
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1885
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 314
16.7%
2 271
14.4%
6 255
13.5%
0 235
12.5%
9 200
10.6%
5 137
7.3%
4 114
 
6.0%
1 113
 
6.0%
7 97
 
5.1%
3 89
 
4.7%
Other values (2) 60
 
3.2%

관리부서명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
청소행정과
158 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
청소행정과 158
100.0%

Length

2023-12-13T01:05:52.321642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:05:52.399466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
청소행정과 158
100.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-11-10
158 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-11-10
2nd row2023-11-10
3rd row2023-11-10
4th row2023-11-10
5th row2023-11-10

Common Values

ValueCountFrequency (%)
2023-11-10 158
100.0%

Length

2023-12-13T01:05:52.482062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:05:52.564838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-11-10 158
100.0%

Interactions

2023-12-13T01:05:48.118163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:05:47.577646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:05:47.862369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:05:48.214045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:05:47.677512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:05:47.951803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:05:48.301100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:05:47.762172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:05:48.037167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T01:05:52.616717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도
연번1.0000.8280.762
위도0.8281.0000.834
경도0.7620.8341.000
2023-12-13T01:05:52.689089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도
연번1.0000.4830.411
위도0.4831.0000.869
경도0.4110.8691.000

Missing values

2023-12-13T01:05:48.409245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T01:05:48.542283image/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

연번시도명시군구명구분설치장소명주소위도경도전화번호관리부서명데이터기준일자
01광주광역시광산구공동주택송정라인2차광주광역시 광산구 상무대로 137-235.13319126.788096062-945-1362청소행정과2023-11-10
12광주광역시광산구공동주택명지광주광역시 광산구 송도로320번길 1135.141065126.803298062-945-5018청소행정과2023-11-10
23광주광역시광산구공동주택수완2차우미린광주광역시 광산구 왕버들로132번길 2235.20104126.822318062-953-0364청소행정과2023-11-10
34광주광역시광산구공동주택첨단신동아광주광역시 광산구 첨단중앙로181번길 88-2235.221092126.832232062-971-1999청소행정과2023-11-10
45광주광역시광산구공동주택수완2차부영사랑으로광주광역시 광산구 풍영로 294-835.197019126.816742062-953-0262청소행정과2023-11-10
56광주광역시광산구공동주택하남3지구 모아엘가광주광역시 광산구 단전둘레길 1535.181392126.796867062-531-6020청소행정과2023-11-10
67광주광역시광산구공동주택첨단우미1차광주광역시 광산구 첨단중앙로181번길 6535.218648126.83487062-972-7684청소행정과2023-11-10
78광주광역시광산구공동주택수완3차중흥S클래스광주광역시 광산구 풍영로145번길 1835.184798126.813209062-959-0058청소행정과2023-11-10
89광주광역시광산구공동주택광신프로그레스광주광역시 광산구 광산로20번길2835.136932126.794635062-943-1717청소행정과2023-11-10
910광주광역시광산구공동주택수완 호반베르디움 2차광주광역시 광산구 풍영로329번길1935.139555126.793686062-961-1043청소행정과2023-11-10
연번시도명시군구명구분설치장소명주소위도경도전화번호관리부서명데이터기준일자
148149광주광역시광산구공동주택송정역 우방아이유셀2차광주광역시 광산구 평동로1100번길 7135.131266126.78502062-942-2888청소행정과2023-11-10
149150광주광역시광산구공동주택운남2 주공9단지광주광역시 광산구 풍영로 6335.178132126.809913062-962-9100청소행정과2023-11-10
150151광주광역시광산구공동주택수완 EG the1광주광역시 광산구 풍영로101번길2235.182273126.811192062-961-0523청소행정과2023-11-10
151152광주광역시광산구공동주택수완현진에버빌 2단지광주광역시 광산구 풍영로169번길 4635.187928126.811538062-953-3028청소행정과2023-11-10
152153광주광역시광산구공동주택수완골드클래스2차광주광역시 광산구 풍영로28535.196881126.814548062-953-6567청소행정과2023-11-10
153154광주광역시광산구공동주택수완휴먼시아8단지광주광역시 광산구 풍영로330번길 1535.201464126.816832062-959-3538청소행정과2023-11-10
154155광주광역시광산구공동주택수완양우내안에광주광역시 광산구 풍영로330번길 1635.200047126.815754062-959-0283청소행정과2023-11-10
155156광주광역시광산구공동주택운남주공5단지광주광역시 광산구 하남대로 248-1035.17832126.819044062-951-2586청소행정과2023-11-10
156157광주광역시광산구공동주택수완휴먼시아3단지광주광역시 광산구 하남대로261번길 1135.180678126.820459062-961-7626청소행정과2023-11-10
157158광주광역시광산구공동주택하남2지구 다사로움3단지 도시형생활주택광주광역시 광산구 하남대로54번안길 11535.178391126.798766062-959-7869청소행정과2023-11-10