Overview

Dataset statistics

Number of variables9
Number of observations21
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.7 KiB
Average record size in memory81.3 B

Variable types

Numeric3
Categorical2
Text4

Dataset

Description대구광역시 달성군 폐의약품 수거 현황 데이터로 연번, 관할기관, 기관명칭, 도로명주소, 세부위치, 위도, 경도 전화번호 등의 데이터를 제공하고 있습니다.
Author대구광역시 달성군
URLhttps://www.data.go.kr/data/15113143/fileData.do

Alerts

관할지역 has constant value ""Constant
데이터기준일자 has constant value ""Constant
연번 has unique valuesUnique
기관명칭 has unique valuesUnique

Reproduction

Analysis started2024-03-23 05:00:53.737165
Analysis finished2024-03-23 05:00:59.485786
Duration5.75 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11
Minimum1
Maximum21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-03-23T05:00:59.708433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q16
median11
Q316
95-th percentile20
Maximum21
Range20
Interquartile range (IQR)10

Descriptive statistics

Standard deviation6.2048368
Coefficient of variation (CV)0.56407607
Kurtosis-1.2
Mean11
Median Absolute Deviation (MAD)5
Skewness0
Sum231
Variance38.5
MonotonicityStrictly increasing
2024-03-23T05:01:00.111042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
1 1
 
4.8%
2 1
 
4.8%
21 1
 
4.8%
20 1
 
4.8%
19 1
 
4.8%
18 1
 
4.8%
17 1
 
4.8%
16 1
 
4.8%
15 1
 
4.8%
14 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
1 1
4.8%
2 1
4.8%
3 1
4.8%
4 1
4.8%
5 1
4.8%
6 1
4.8%
7 1
4.8%
8 1
4.8%
9 1
4.8%
10 1
4.8%
ValueCountFrequency (%)
21 1
4.8%
20 1
4.8%
19 1
4.8%
18 1
4.8%
17 1
4.8%
16 1
4.8%
15 1
4.8%
14 1
4.8%
13 1
4.8%
12 1
4.8%

관할지역
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
달성군
21 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
달성군 21
100.0%

Length

2024-03-23T05:01:00.730768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T05:01:01.207109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
달성군 21
100.0%

기관명칭
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-03-23T05:01:01.728338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length7
Mean length7.7142857
Min length4

Characters and Unicode

Total characters162
Distinct characters47
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)100.0%

Sample

1st row달성군청
2nd row하빈면행정복지센터
3rd row다사읍행정복지센터
4th row유가읍행정복지센터
5th row현풍읍 행정복지센터
ValueCountFrequency (%)
달성군청 1
 
4.3%
다사읍보건지소 1
 
4.3%
반송보건진료소 1
 
4.3%
무등보건진료소 1
 
4.3%
봉촌보건진료소 1
 
4.3%
음리보건진료소 1
 
4.3%
고봉보건진료소 1
 
4.3%
한정보건진료소 1
 
4.3%
달성주민건강증진센터 1
 
4.3%
구지면보건지소 1
 
4.3%
Other values (13) 13
56.5%
2024-03-23T05:01:03.433280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
건 13
 
8.0%
지 13
 
8.0%
소 12
 
7.4%
보 12
 
7.4%
진 8
 
4.9%
정 8
 
4.9%
센 8
 
4.9%
터 8
 
4.9%
읍 7
 
4.3%
행 7
 
4.3%
Other values (37) 66
40.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 160
98.8%
Space Separator 2
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
건 13
 
8.1%
지 13
 
8.1%
소 12
 
7.5%
보 12
 
7.5%
진 8
 
5.0%
정 8
 
5.0%
센 8
 
5.0%
터 8
 
5.0%
읍 7
 
4.4%
행 7
 
4.4%
Other values (36) 64
40.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 160
98.8%
Common 2
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
건 13
 
8.1%
지 13
 
8.1%
소 12
 
7.5%
보 12
 
7.5%
진 8
 
5.0%
정 8
 
5.0%
센 8
 
5.0%
터 8
 
5.0%
읍 7
 
4.4%
행 7
 
4.4%
Other values (36) 64
40.0%
Common
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 160
98.8%
ASCII 2
 
1.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
건 13
 
8.1%
지 13
 
8.1%
소 12
 
7.5%
보 12
 
7.5%
진 8
 
5.0%
정 8
 
5.0%
센 8
 
5.0%
터 8
 
5.0%
읍 7
 
4.4%
행 7
 
4.4%
Other values (36) 64
40.0%
ASCII
ValueCountFrequency (%)
2
100.0%

도로명주소
Text

Distinct19
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-03-23T05:01:04.285675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length24
Mean length22.142857
Min length17

Characters and Unicode

Total characters465
Distinct characters65
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

Unique17 ?
Unique (%)81.0%

Sample

1st row대구광역시 달성군 달성군청로 33
2nd row대구광역시 달성군 하빈로84길 1
3rd row대구광역시 달성군 다사읍 매곡로 7
4th row대구광역시 달성군 유가읍 테크노상업로 95
5th row대구광역시 달성군 현풍읍 비슬로134길 157
ValueCountFrequency (%)
대구광역시 21
20.4%
달성군 21
20.4%
구지면 4
 
3.9%
유가읍 3
 
2.9%
화원읍 2
 
1.9%
현풍읍 2
 
1.9%
하빈면 2
 
1.9%
옥포읍 2
 
1.9%
38 2
 
1.9%
창리로11길 2
 
1.9%
Other values (39) 42
40.8%
2024-03-23T05:01:05.234778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
82
17.6%
구 27
 
5.8%
달 24
 
5.2%
성 23
 
4.9%
대 22
 
4.7%
군 22
 
4.7%
광 21
 
4.5%
역 21
 
4.5%
시 21
 
4.5%
로 19
 
4.1%
Other values (55) 183
39.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 313
67.3%
Space Separator 82
 
17.6%
Decimal Number 66
 
14.2%
Dash Punctuation 4
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 27
 
8.6%
달 24
 
7.7%
성 23
 
7.3%
대 22
 
7.0%
군 22
 
7.0%
광 21
 
6.7%
역 21
 
6.7%
시 21
 
6.7%
로 19
 
6.1%
읍 12
 
3.8%
Other values (43) 101
32.3%
Decimal Number
ValueCountFrequency (%)
1 14
21.2%
3 9
13.6%
7 8
12.1%
2 7
10.6%
4 7
10.6%
5 6
9.1%
6 4
 
6.1%
9 4
 
6.1%
8 4
 
6.1%
0 3
 
4.5%
Space Separator
ValueCountFrequency (%)
82
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 313
67.3%
Common 152
32.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 27
 
8.6%
달 24
 
7.7%
성 23
 
7.3%
대 22
 
7.0%
군 22
 
7.0%
광 21
 
6.7%
역 21
 
6.7%
시 21
 
6.7%
로 19
 
6.1%
읍 12
 
3.8%
Other values (43) 101
32.3%
Common
ValueCountFrequency (%)
82
53.9%
1 14
 
9.2%
3 9
 
5.9%
7 8
 
5.3%
2 7
 
4.6%
4 7
 
4.6%
5 6
 
3.9%
- 4
 
2.6%
6 4
 
2.6%
9 4
 
2.6%
Other values (2) 7
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 313
67.3%
ASCII 152
32.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
82
53.9%
1 14
 
9.2%
3 9
 
5.9%
7 8
 
5.3%
2 7
 
4.6%
4 7
 
4.6%
5 6
 
3.9%
- 4
 
2.6%
6 4
 
2.6%
9 4
 
2.6%
Other values (2) 7
 
4.6%
Hangul
ValueCountFrequency (%)
구 27
 
8.6%
달 24
 
7.7%
성 23
 
7.3%
대 22
 
7.0%
군 22
 
7.0%
광 21
 
6.7%
역 21
 
6.7%
시 21
 
6.7%
로 19
 
6.1%
읍 12
 
3.8%
Other values (43) 101
32.3%

세부위치
Text

Distinct12
Distinct (%)57.1%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-03-23T05:01:05.710934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length6.5714286
Min length2

Characters and Unicode

Total characters138
Distinct characters32
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)47.6%

Sample

1st row2층 당직실 앞
2nd row면사무소 안
3rd row청소팀 사무실
4th row민원실 앞
5th row행정복지센터 1층
ValueCountFrequency (%)
안 13
30.2%
보건진료소 7
16.3%
보건지소 4
 
9.3%
앞 3
 
7.0%
청소팀 3
 
7.0%
1층 3
 
7.0%
2층 1
 
2.3%
당직실 1
 
2.3%
면사무소 1
 
2.3%
사무실 1
 
2.3%
Other values (6) 6
14.0%
2024-03-23T05:01:06.684260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
22
15.9%
소 16
11.6%
건 13
 
9.4%
안 13
 
9.4%
보 12
 
8.7%
진 8
 
5.8%
료 7
 
5.1%
지 5
 
3.6%
층 5
 
3.6%
1 3
 
2.2%
Other values (22) 34
24.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 111
80.4%
Space Separator 22
 
15.9%
Decimal Number 5
 
3.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 16
14.4%
건 13
11.7%
안 13
11.7%
보 12
10.8%
진 8
 
7.2%
료 7
 
6.3%
지 5
 
4.5%
층 5
 
4.5%
실 3
 
2.7%
앞 3
 
2.7%
Other values (18) 26
23.4%
Decimal Number
ValueCountFrequency (%)
1 3
60.0%
2 1
 
20.0%
3 1
 
20.0%
Space Separator
ValueCountFrequency (%)
22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 111
80.4%
Common 27
 
19.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 16
14.4%
건 13
11.7%
안 13
11.7%
보 12
10.8%
진 8
 
7.2%
료 7
 
6.3%
지 5
 
4.5%
층 5
 
4.5%
실 3
 
2.7%
앞 3
 
2.7%
Other values (18) 26
23.4%
Common
ValueCountFrequency (%)
22
81.5%
1 3
 
11.1%
2 1
 
3.7%
3 1
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 111
80.4%
ASCII 27
 
19.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
22
81.5%
1 3
 
11.1%
2 1
 
3.7%
3 1
 
3.7%
Hangul
ValueCountFrequency (%)
소 16
14.4%
건 13
11.7%
안 13
11.7%
보 12
10.8%
진 8
 
7.2%
료 7
 
6.3%
지 5
 
4.5%
층 5
 
4.5%
실 3
 
2.7%
앞 3
 
2.7%
Other values (18) 26
23.4%

위도
Real number (ℝ)

Distinct18
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.763003
Minimum35.644982
Maximum35.901694
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-03-23T05:01:07.256541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.644982
5-th percentile35.649828
Q135.692074
median35.774271
Q335.862019
95-th percentile35.900917
Maximum35.901694
Range0.25671221
Interquartile range (IQR)0.16994523

Descriptive statistics

Standard deviation0.091847019
Coefficient of variation (CV)0.0025682132
Kurtosis-1.4283057
Mean35.763003
Median Absolute Deviation (MAD)0.08774778
Skewness0.20199104
Sum751.02307
Variance0.0084358749
MonotonicityNot monotonic
2024-03-23T05:01:07.739552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
35.86201906 2
 
9.5%
35.79768581 2
 
9.5%
35.6587953 2
 
9.5%
35.77492477 1
 
4.8%
35.64498198 1
 
4.8%
35.65205611 1
 
4.8%
35.75609986 1
 
4.8%
35.89827594 1
 
4.8%
35.86278147 1
 
4.8%
35.69757455 1
 
4.8%
Other values (8) 8
38.1%
ValueCountFrequency (%)
35.64498198 1
4.8%
35.64982818 1
4.8%
35.65205611 1
4.8%
35.6587953 2
9.5%
35.69207383 1
4.8%
35.69388826 1
4.8%
35.6972515 1
4.8%
35.69757455 1
4.8%
35.75609986 1
4.8%
35.77427128 1
4.8%
ValueCountFrequency (%)
35.90169419 1
4.8%
35.90091697 1
4.8%
35.89827594 1
4.8%
35.86278147 1
4.8%
35.86201906 2
9.5%
35.79768581 2
9.5%
35.78944967 1
4.8%
35.77492477 1
4.8%
35.77427128 1
4.8%
35.75609986 1
4.8%

경도
Real number (ℝ)

Distinct18
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.4481
Minimum128.40765
Maximum128.49809
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-03-23T05:01:08.158292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.40765
5-th percentile128.41009
Q1128.43078
median128.4462
Q3128.45981
95-th percentile128.48981
Maximum128.49809
Range0.0904379
Interquartile range (IQR)0.0290372

Descriptive statistics

Standard deviation0.027363438
Coefficient of variation (CV)0.00021303109
Kurtosis-0.80460355
Mean128.4481
Median Absolute Deviation (MAD)0.0154253
Skewness0.25013233
Sum2697.4101
Variance0.00074875776
MonotonicityNot monotonic
2024-03-23T05:01:08.583988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
128.4542083 2
 
9.5%
128.4898087 2
 
9.5%
128.4135891 2
 
9.5%
128.4317447 1
 
4.8%
128.4594328 1
 
4.8%
128.4100865 1
 
4.8%
128.4980897 1
 
4.8%
128.4307762 1
 
4.8%
128.4076518 1
 
4.8%
128.4828293 1
 
4.8%
Other values (8) 8
38.1%
ValueCountFrequency (%)
128.4076518 1
4.8%
128.4100865 1
4.8%
128.4135891 2
9.5%
128.4203379 1
4.8%
128.4307762 1
4.8%
128.4317447 1
4.8%
128.4385778 1
4.8%
128.4449527 1
4.8%
128.4455133 1
4.8%
128.4462015 1
4.8%
ValueCountFrequency (%)
128.4980897 1
4.8%
128.4898087 2
9.5%
128.4828293 1
4.8%
128.4712947 1
4.8%
128.4598134 1
4.8%
128.4594328 1
4.8%
128.4542083 2
9.5%
128.4475785 1
4.8%
128.4462015 1
4.8%
128.4455133 1
4.8%

전화번호
Text

Distinct19
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-03-23T05:01:09.145556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters252
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)81.0%

Sample

1st row053-668-2734
2nd row053-668-5621
3rd row053-668-5556
4th row053-668-5837
5th row053-668-5406
ValueCountFrequency (%)
053-668-3146 2
 
9.5%
053-668-3148 2
 
9.5%
053-668-3411 1
 
4.8%
053-668-2734 1
 
4.8%
053-668-3413 1
 
4.8%
053-668-3144 1
 
4.8%
053-668-3147 1
 
4.8%
053-668-3830 1
 
4.8%
053-668-3448 1
 
4.8%
053-668-3415 1
 
4.8%
Other values (9) 9
42.9%
2024-03-23T05:01:10.348860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 48
19.0%
- 42
16.7%
3 40
15.9%
5 34
13.5%
8 27
10.7%
0 24
9.5%
4 16
 
6.3%
1 13
 
5.2%
7 5
 
2.0%
2 2
 
0.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 210
83.3%
Dash Punctuation 42
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 48
22.9%
3 40
19.0%
5 34
16.2%
8 27
12.9%
0 24
11.4%
4 16
 
7.6%
1 13
 
6.2%
7 5
 
2.4%
2 2
 
1.0%
9 1
 
0.5%
Dash Punctuation
ValueCountFrequency (%)
- 42
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 252
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 48
19.0%
- 42
16.7%
3 40
15.9%
5 34
13.5%
8 27
10.7%
0 24
9.5%
4 16
 
6.3%
1 13
 
5.2%
7 5
 
2.0%
2 2
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 252
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 48
19.0%
- 42
16.7%
3 40
15.9%
5 34
13.5%
8 27
10.7%
0 24
9.5%
4 16
 
6.3%
1 13
 
5.2%
7 5
 
2.0%
2 2
 
0.8%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-03-14
21 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-03-14
2nd row2024-03-14
3rd row2024-03-14
4th row2024-03-14
5th row2024-03-14

Common Values

ValueCountFrequency (%)
2024-03-14 21
100.0%

Length

2024-03-23T05:01:10.856441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T05:01:11.273218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-03-14 21
100.0%

Interactions

2024-03-23T05:00:57.455559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:00:55.049282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:00:56.318429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:00:57.756474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:00:55.424132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:00:56.688228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:00:58.019432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:00:55.905617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:00:57.074608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-23T05:01:11.564426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번기관명칭도로명주소세부위치위도경도전화번호
연번1.0001.0000.8120.7940.0000.5960.885
기관명칭1.0001.0001.0001.0001.0001.0001.000
도로명주소0.8121.0001.0000.8121.0001.0000.930
세부위치0.7941.0000.8121.0000.0000.0001.000
위도0.0001.0001.0000.0001.0000.5670.000
경도0.5961.0001.0000.0000.5671.0000.000
전화번호0.8851.0000.9301.0000.0000.0001.000
2024-03-23T05:01:12.070152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도
연번1.000-0.196-0.107
위도-0.1961.0000.085
경도-0.1070.0851.000

Missing values

2024-03-23T05:00:58.632794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-23T05:00:59.244343image/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

연번관할지역기관명칭도로명주소세부위치위도경도전화번호데이터기준일자
01달성군달성군청대구광역시 달성군 달성군청로 332층 당직실 앞35.774925128.431745053-668-27342024-03-14
12달성군하빈면행정복지센터대구광역시 달성군 하빈로84길 1면사무소 안35.900917128.445513053-668-56212024-03-14
23달성군다사읍행정복지센터대구광역시 달성군 다사읍 매곡로 7청소팀 사무실35.862019128.454208053-668-55562024-03-14
34달성군유가읍행정복지센터대구광역시 달성군 유가읍 테크노상업로 95민원실 앞35.693888128.459813053-668-58372024-03-14
45달성군현풍읍 행정복지센터대구광역시 달성군 현풍읍 비슬로134길 157행정복지센터 1층35.697252128.447578053-668-54062024-03-14
56달성군화원읍행정복지센터대구광역시 달성군 화원읍 화암로103층 청소팀 앞35.797686128.489809053-668-54512024-03-14
67달성군논공읍행정복지센터대구광역시 달성군 논공읍 비슬로 17791층 청소팀35.774271128.420338053-668-55062024-03-14
78달성군구지면행정복지센터대구광역시 달성군 구지면 창리로11길 38현관35.658795128.413589053-668-57782024-03-14
89달성군달성군 보건소대구광역시 달성군 현풍읍 현풍중앙로 27보건소 1층35.692074128.446202053-668-39532024-03-14
910달성군화원읍보건지소대구광역시 달성군 화원읍 화암로 10 대구달성산림조합 4층보건지소 안35.797686128.489809053-668-34112024-03-14
연번관할지역기관명칭도로명주소세부위치위도경도전화번호데이터기준일자
1112달성군하빈면보건지소대구광역시 달성군 하빈로 423보건지소 안35.901694128.444953053-668-34152024-03-14
1213달성군구지면보건지소대구광역시 달성군 구지면 창리로11길 38보건지소 안35.658795128.413589053-668-34482024-03-14
1314달성군달성주민건강증진센터대구광역시 달성군 옥포읍 비슬로458길 6-2건강증진센터 안35.78945128.471295053-668-38302024-03-14
1415달성군한정보건진료소대구광역시 달성군 유가읍 달창로26길 17보건진료소 안35.644982128.459433053-668-31472024-03-14
1516달성군고봉보건진료소대구광역시 달성군 구지면 구지동로 47-2보건진료소 안35.649828128.438578053-668-31482024-03-14
1617달성군음리보건진료소대구광역시 달성군 유가읍 음동1길 9보건진료소 안35.697575128.482829053-668-31462024-03-14
1718달성군봉촌보건진료소대구광역시 달성군 하빈면 하빈남로52길 66보건진료소 안35.862781128.407652053-668-31442024-03-14
1819달성군무등보건진료소대구광역시 달성군 하빈면 하빈로1길 40보건진료소 안35.898276128.430776053-668-31432024-03-14
1920달성군반송보건진료소대구광역시 달성군 옥포읍 기산1길 29-3보건진료소 안35.7561128.49809053-668-31482024-03-14
2021달성군대암보건진료소대구광역시 달성군 구지면 과학남로53길 5-3보건진료소 안35.652056128.410087053-668-31462024-03-14