Overview

Dataset statistics

Number of variables12
Number of observations99
Missing cells99
Missing cells (%)8.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.8 KiB
Average record size in memory101.3 B

Variable types

Categorical4
Text3
Numeric2
Boolean1
Unsupported1
DateTime1

Dataset

Description대구광역시_달성군_어린이보호구역_20190910
Author대구광역시 달성군
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=15009894&dataSetDetailId=1500989419e6287ad388d_201909241017&provdMethod=FILE

Alerts

관리기관명 has constant value ""Constant
관할경찰서명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
CCTV설치여부 is highly overall correlated with CCTV설치대수High correlation
CCTV설치대수 is highly overall correlated with CCTV설치여부High correlation
CCTV설치여부 is highly imbalanced (63.1%)Imbalance
CCTV설치대수 is highly imbalanced (74.1%)Imbalance
보호구역도로폭 has 99 (100.0%) missing valuesMissing
대상시설명 has unique valuesUnique
보호구역도로폭 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-10 20:00:24.168716
Analysis finished2023-12-10 20:00:25.808382
Duration1.64 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설종류
Categorical

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
유치원
50 
초등학교
33 
어린이집
16 

Length

Max length4
Median length3
Mean length3.4949495
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유치원 50
50.5%
초등학교 33
33.3%
어린이집 16
 
16.2%

Length

2023-12-11T05:00:25.912177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:00:26.076093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유치원 50
50.5%
초등학교 33
33.3%
어린이집 16
 
16.2%

대상시설명
Text

UNIQUE 

Distinct99
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
2023-12-11T05:00:26.407228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length14
Mean length6.1515152
Min length4

Characters and Unicode

Total characters609
Distinct characters127
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

Unique99 ?
Unique (%)100.0%

Sample

1st row가창초교병설
2nd row구지초교병설
3rd row금계초교병설
4th row금포초교병설
5th row논공읍초교병설
ValueCountFrequency (%)
유치원 2
 
2.0%
가창초교병설 1
 
1.0%
아이엠어린이집 1
 
1.0%
논공읍어린이집 1
 
1.0%
세계어린이집 1
 
1.0%
소호어린이집 1
 
1.0%
혜민어린이집 1
 
1.0%
옥스포드어린이집 1
 
1.0%
화남어린이집 1
 
1.0%
백설어린이집 1
 
1.0%
Other values (90) 90
89.1%
2023-12-11T05:00:27.031689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
초 51
 
8.4%
원 37
 
6.1%
유 34
 
5.6%
등 34
 
5.6%
치 32
 
5.3%
교 26
 
4.3%
이 22
 
3.6%
설 19
 
3.1%
병 18
 
3.0%
어 17
 
2.8%
Other values (117) 319
52.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 585
96.1%
Decimal Number 8
 
1.3%
Open Punctuation 6
 
1.0%
Close Punctuation 6
 
1.0%
Space Separator 2
 
0.3%
Math Symbol 1
 
0.2%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
초 51
 
8.7%
원 37
 
6.3%
유 34
 
5.8%
등 34
 
5.8%
치 32
 
5.5%
교 26
 
4.4%
이 22
 
3.8%
설 19
 
3.2%
병 18
 
3.1%
어 17
 
2.9%
Other values (108) 295
50.4%
Decimal Number
ValueCountFrequency (%)
1 3
37.5%
4 3
37.5%
3 1
 
12.5%
9 1
 
12.5%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Math Symbol
ValueCountFrequency (%)
> 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 585
96.1%
Common 24
 
3.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
초 51
 
8.7%
원 37
 
6.3%
유 34
 
5.8%
등 34
 
5.8%
치 32
 
5.5%
교 26
 
4.4%
이 22
 
3.8%
설 19
 
3.2%
병 18
 
3.1%
어 17
 
2.9%
Other values (108) 295
50.4%
Common
ValueCountFrequency (%)
( 6
25.0%
) 6
25.0%
1 3
12.5%
4 3
12.5%
2
 
8.3%
3 1
 
4.2%
9 1
 
4.2%
> 1
 
4.2%
- 1
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 585
96.1%
ASCII 24
 
3.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
초 51
 
8.7%
원 37
 
6.3%
유 34
 
5.8%
등 34
 
5.8%
치 32
 
5.5%
교 26
 
4.4%
이 22
 
3.8%
설 19
 
3.2%
병 18
 
3.1%
어 17
 
2.9%
Other values (108) 295
50.4%
ASCII
ValueCountFrequency (%)
( 6
25.0%
) 6
25.0%
1 3
12.5%
4 3
12.5%
2
 
8.3%
3 1
 
4.2%
9 1
 
4.2%
> 1
 
4.2%
- 1
 
4.2%

소재지도로명주소
Text

Distinct78
Distinct (%)78.8%
Missing0
Missing (%)0.0%
Memory size924.0 B
2023-12-11T05:00:27.500703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length26
Mean length22.535354
Min length19

Characters and Unicode

Total characters2231
Distinct characters79
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

Unique58 ?
Unique (%)58.6%

Sample

1st row대구광역시 달성군 가창면 가창로 640
2nd row대구광역시 달성군 구지면 창리로11길 45-11
3rd row대구광역시 달성군 옥포면 금계길 55
4th row대구광역시 달성군 논공읍 금포초등길 28
5th row대구광역시 달성군 논공읍 논공로7길 41
ValueCountFrequency (%)
대구광역시 99
20.2%
달성군 99
20.2%
다사읍 29
 
5.9%
화원읍 19
 
3.9%
논공읍 11
 
2.2%
옥포면 11
 
2.2%
현풍면 11
 
2.2%
유가읍 6
 
1.2%
다사로 5
 
1.0%
비슬로 5
 
1.0%
Other values (123) 196
39.9%
2023-12-11T05:00:28.172451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
392
17.6%
대 112
 
5.0%
구 106
 
4.8%
역 105
 
4.7%
성 104
 
4.7%
달 103
 
4.6%
광 99
 
4.4%
시 99
 
4.4%
군 99
 
4.4%
로 83
 
3.7%
Other values (69) 929
41.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1485
66.6%
Space Separator 392
 
17.6%
Decimal Number 336
 
15.1%
Dash Punctuation 18
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 112
 
7.5%
구 106
 
7.1%
역 105
 
7.1%
성 104
 
7.0%
달 103
 
6.9%
광 99
 
6.7%
시 99
 
6.7%
군 99
 
6.7%
로 83
 
5.6%
읍 65
 
4.4%
Other values (57) 510
34.3%
Decimal Number
ValueCountFrequency (%)
1 75
22.3%
2 52
15.5%
4 45
13.4%
5 39
11.6%
6 26
 
7.7%
0 23
 
6.8%
8 23
 
6.8%
3 20
 
6.0%
7 18
 
5.4%
9 15
 
4.5%
Space Separator
ValueCountFrequency (%)
392
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1485
66.6%
Common 746
33.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 112
 
7.5%
구 106
 
7.1%
역 105
 
7.1%
성 104
 
7.0%
달 103
 
6.9%
광 99
 
6.7%
시 99
 
6.7%
군 99
 
6.7%
로 83
 
5.6%
읍 65
 
4.4%
Other values (57) 510
34.3%
Common
ValueCountFrequency (%)
392
52.5%
1 75
 
10.1%
2 52
 
7.0%
4 45
 
6.0%
5 39
 
5.2%
6 26
 
3.5%
0 23
 
3.1%
8 23
 
3.1%
3 20
 
2.7%
- 18
 
2.4%
Other values (2) 33
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1485
66.6%
ASCII 746
33.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
392
52.5%
1 75
 
10.1%
2 52
 
7.0%
4 45
 
6.0%
5 39
 
5.2%
6 26
 
3.5%
0 23
 
3.1%
8 23
 
3.1%
3 20
 
2.7%
- 18
 
2.4%
Other values (2) 33
 
4.4%
Hangul
ValueCountFrequency (%)
대 112
 
7.5%
구 106
 
7.1%
역 105
 
7.1%
성 104
 
7.0%
달 103
 
6.9%
광 99
 
6.7%
시 99
 
6.7%
군 99
 
6.7%
로 83
 
5.6%
읍 65
 
4.4%
Other values (57) 510
34.3%

소재지지번주소
Text

Distinct74
Distinct (%)74.7%
Missing0
Missing (%)0.0%
Memory size924.0 B
2023-12-11T05:00:28.577098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length23
Mean length21.545455
Min length19

Characters and Unicode

Total characters2133
Distinct characters71
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

Unique50 ?
Unique (%)50.5%

Sample

1st row대구광역시 달성군 가창면 냉천리 815-1
2nd row대구광역시 달성군 구지면 창리 385
3rd row대구광역시 달성군 옥포면 교향리 1503
4th row대구광역시 달성군 논공읍 금포리 1496
5th row대구광역시 달성군 논공읍 남리 328
ValueCountFrequency (%)
대구광역시 99
20.0%
달성군 99
20.0%
다사읍 30
 
6.1%
화원읍 19
 
3.8%
매곡리 12
 
2.4%
옥포면 11
 
2.2%
현풍면 11
 
2.2%
논공읍 11
 
2.2%
죽곡리 8
 
1.6%
서재리 8
 
1.6%
Other values (100) 187
37.8%
2023-12-11T05:00:29.625385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
396
18.6%
리 106
 
5.0%
구 105
 
4.9%
대 99
 
4.6%
광 99
 
4.6%
역 99
 
4.6%
시 99
 
4.6%
달 99
 
4.6%
성 99
 
4.6%
군 99
 
4.6%
Other values (61) 833
39.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1360
63.8%
Space Separator 396
 
18.6%
Decimal Number 345
 
16.2%
Dash Punctuation 32
 
1.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 106
 
7.8%
구 105
 
7.7%
대 99
 
7.3%
광 99
 
7.3%
역 99
 
7.3%
시 99
 
7.3%
달 99
 
7.3%
성 99
 
7.3%
군 99
 
7.3%
읍 66
 
4.9%
Other values (49) 390
28.7%
Decimal Number
ValueCountFrequency (%)
1 73
21.2%
5 43
12.5%
3 40
11.6%
8 38
11.0%
2 31
9.0%
4 29
 
8.4%
6 25
 
7.2%
9 24
 
7.0%
0 24
 
7.0%
7 18
 
5.2%
Space Separator
ValueCountFrequency (%)
396
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 32
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1360
63.8%
Common 773
36.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 106
 
7.8%
구 105
 
7.7%
대 99
 
7.3%
광 99
 
7.3%
역 99
 
7.3%
시 99
 
7.3%
달 99
 
7.3%
성 99
 
7.3%
군 99
 
7.3%
읍 66
 
4.9%
Other values (49) 390
28.7%
Common
ValueCountFrequency (%)
396
51.2%
1 73
 
9.4%
5 43
 
5.6%
3 40
 
5.2%
8 38
 
4.9%
- 32
 
4.1%
2 31
 
4.0%
4 29
 
3.8%
6 25
 
3.2%
9 24
 
3.1%
Other values (2) 42
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1360
63.8%
ASCII 773
36.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
396
51.2%
1 73
 
9.4%
5 43
 
5.6%
3 40
 
5.2%
8 38
 
4.9%
- 32
 
4.1%
2 31
 
4.0%
4 29
 
3.8%
6 25
 
3.2%
9 24
 
3.1%
Other values (2) 42
 
5.4%
Hangul
ValueCountFrequency (%)
리 106
 
7.8%
구 105
 
7.7%
대 99
 
7.3%
광 99
 
7.3%
역 99
 
7.3%
시 99
 
7.3%
달 99
 
7.3%
성 99
 
7.3%
군 99
 
7.3%
읍 66
 
4.9%
Other values (49) 390
28.7%

위도
Real number (ℝ)

Distinct80
Distinct (%)80.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.791712
Minimum35.659783
Maximum35.901559
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1023.0 B
2023-12-11T05:00:29.880612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.659783
5-th percentile35.689935
Q135.729906
median35.799405
Q335.862514
95-th percentile35.877954
Maximum35.901559
Range0.24177521
Interquartile range (IQR)0.1326075

Descriptive statistics

Standard deviation0.068981969
Coefficient of variation (CV)0.0019273168
Kurtosis-1.1317815
Mean35.791712
Median Absolute Deviation (MAD)0.064206
Skewness-0.30319557
Sum3543.3795
Variance0.004758512
MonotonicityNot monotonic
2023-12-11T05:00:30.157973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.771063 2
 
2.0%
35.756709 2
 
2.0%
35.799758 2
 
2.0%
35.856574 2
 
2.0%
35.6702384856 2
 
2.0%
35.804564 2
 
2.0%
35.863211 2
 
2.0%
35.787451 2
 
2.0%
35.66021121 2
 
2.0%
35.87181404 2
 
2.0%
Other values (70) 79
79.8%
ValueCountFrequency (%)
35.6597834863 1
1.0%
35.66021121 2
2.0%
35.6702384856 2
2.0%
35.692123 1
1.0%
35.6922354374 2
2.0%
35.69487717 2
2.0%
35.694948 1
1.0%
35.695395 1
1.0%
35.695809 1
1.0%
35.69605766 1
1.0%
ValueCountFrequency (%)
35.9015587 1
1.0%
35.901558 1
1.0%
35.879143 2
2.0%
35.877954 2
2.0%
35.87434869 1
1.0%
35.87386895 1
1.0%
35.87343349 1
1.0%
35.8721248 1
1.0%
35.87181404 2
2.0%
35.87048758 1
1.0%

경도
Real number (ℝ)

Distinct81
Distinct (%)81.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.47283
Minimum128.41256
Maximum128.64825
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1023.0 B
2023-12-11T05:00:30.391508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.41256
5-th percentile128.42546
Q1128.4487
median128.46313
Q3128.49489
95-th percentile128.51063
Maximum128.64825
Range0.2356914
Interquartile range (IQR)0.046184

Descriptive statistics

Standard deviation0.041818001
Coefficient of variation (CV)0.00032550075
Kurtosis7.4733316
Mean128.47283
Median Absolute Deviation (MAD)0.019026
Skewness2.3173833
Sum12718.81
Variance0.0017487452
MonotonicityNot monotonic
2023-12-11T05:00:30.636602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.648248 2
 
2.0%
128.468533 2
 
2.0%
128.464571 2
 
2.0%
128.454796 2
 
2.0%
128.4125566 2
 
2.0%
128.463127 2
 
2.0%
128.4526291 2
 
2.0%
128.4482704 2
 
2.0%
128.509615 2
 
2.0%
128.621793 2
 
2.0%
Other values (71) 79
79.8%
ValueCountFrequency (%)
128.4125566 2
2.0%
128.417829 2
2.0%
128.419806222 1
1.0%
128.426084 2
2.0%
128.4364839 1
1.0%
128.4365696 1
1.0%
128.437407 2
2.0%
128.440646 1
1.0%
128.442153 1
1.0%
128.4421533 1
1.0%
ValueCountFrequency (%)
128.648248 2
2.0%
128.621793 2
2.0%
128.5197759 1
1.0%
128.509615 2
2.0%
128.507209 1
1.0%
128.5048836 1
1.0%
128.504549 1
1.0%
128.5024469 1
1.0%
128.5020282 1
1.0%
128.501091 1
1.0%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
대구광역시 달성군청
99 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row대구광역시 달성군청
2nd row대구광역시 달성군청
3rd row대구광역시 달성군청
4th row대구광역시 달성군청
5th row대구광역시 달성군청

Common Values

ValueCountFrequency (%)
대구광역시 달성군청 99
100.0%

Length

2023-12-11T05:00:30.785840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:00:30.916571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구광역시 99
50.0%
달성군청 99
50.0%

관할경찰서명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
달성경찰서
99 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
달성경찰서 99
100.0%

Length

2023-12-11T05:00:31.062954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:00:31.196467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
달성경찰서 99
100.0%

CCTV설치여부
Boolean

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size231.0 B
False
92 
True
 
7
ValueCountFrequency (%)
False 92
92.9%
True 7
 
7.1%
2023-12-11T05:00:31.294847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

CCTV설치대수
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
0
92 
2
 
6
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 92
92.9%
2 6
 
6.1%
3 1
 
1.0%

Length

2023-12-11T05:00:31.415044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:00:31.536129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 92
92.9%
2 6
 
6.1%
3 1
 
1.0%

보호구역도로폭
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing99
Missing (%)100.0%
Memory size1023.0 B

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
Minimum2019-09-10 00:00:00
Maximum2019-09-10 00:00:00
2023-12-11T05:00:31.643576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T05:00:31.764998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-11T05:00:25.084046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T05:00:24.820911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T05:00:25.225628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T05:00:24.948150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T05:00:31.871327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설종류대상시설명소재지도로명주소소재지지번주소위도경도CCTV설치여부CCTV설치대수
시설종류1.0001.0000.0000.0000.0000.0000.1670.440
대상시설명1.0001.0001.0001.0001.0001.0001.0001.000
소재지도로명주소0.0001.0001.0001.0001.0001.0000.0000.000
소재지지번주소0.0001.0001.0001.0001.0001.0000.4370.000
위도0.0001.0001.0001.0001.0000.6410.0000.000
경도0.0001.0001.0001.0000.6411.0000.0000.392
CCTV설치여부0.1671.0000.0000.4370.0000.0001.0001.000
CCTV설치대수0.4401.0000.0000.0000.0000.3921.0001.000
2023-12-11T05:00:32.022920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
CCTV설치여부시설종류CCTV설치대수
CCTV설치여부1.0000.2740.995
시설종류0.2741.0000.168
CCTV설치대수0.9950.1681.000
2023-12-11T05:00:32.151076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도시설종류CCTV설치여부CCTV설치대수
위도1.0000.3640.0000.0000.000
경도0.3641.0000.0000.0000.282
시설종류0.0000.0001.0000.2740.168
CCTV설치여부0.0000.0000.2741.0000.995
CCTV설치대수0.0000.2820.1680.9951.000

Missing values

2023-12-11T05:00:25.424279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T05:00:25.698120image/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

시설종류대상시설명소재지도로명주소소재지지번주소위도경도관리기관명관할경찰서명CCTV설치여부CCTV설치대수보호구역도로폭데이터기준일자
0유치원가창초교병설대구광역시 달성군 가창면 가창로 640대구광역시 달성군 가창면 냉천리 815-135.771063128.648248대구광역시 달성군청달성경찰서N0<NA>2019-09-10
1유치원구지초교병설대구광역시 달성군 구지면 창리로11길 45-11대구광역시 달성군 구지면 창리 38535.660211128.412557대구광역시 달성군청달성경찰서N0<NA>2019-09-10
2유치원금계초교병설대구광역시 달성군 옥포면 금계길 55대구광역시 달성군 옥포면 교향리 150335.788698128.444101대구광역시 달성군청달성경찰서N0<NA>2019-09-10
3유치원금포초교병설대구광역시 달성군 논공읍 금포초등길 28대구광역시 달성군 논공읍 금포리 149635.774489128.426084대구광역시 달성군청달성경찰서N0<NA>2019-09-10
4유치원논공읍초교병설대구광역시 달성군 논공읍 논공로7길 41대구광역시 달성군 논공읍 남리 32835.731127128.437407대구광역시 달성군청달성경찰서N0<NA>2019-09-10
5유치원늘푸른유치원대구광역시 달성군 화원읍 명곡로 4대구광역시 달성군 화원읍 명곡리 10235.799405128.49563대구광역시 달성군청달성경찰서N0<NA>2019-09-10
6유치원다사읍초교병설대구광역시 달성군 다사읍 다사로 86대구광역시 달성군 다사읍 매곡리 45735.869034128.458637대구광역시 달성군청달성경찰서N0<NA>2019-09-10
7유치원대자연유치원대구광역시 달성군 다사읍 서재본1길 13-8대구광역시 달성군 다사읍 서재리 19735.873433128.495112대구광역시 달성군청달성경찰서N0<NA>2019-09-10
8유치원도림초교병설대구광역시 달성군 다사읍 서재로26길 94대구광역시 달성군 다사읍 서재리 3235.877954128.499701대구광역시 달성군청달성경찰서N0<NA>2019-09-10
9유치원동곡초등학교병설대구광역시 달성군 하빈면 달구벌대로55길 104-4대구광역시 달성군 하빈면 동곡리 14235.879143128.417829대구광역시 달성군청달성경찰서N0<NA>2019-09-10
시설종류대상시설명소재지도로명주소소재지지번주소위도경도관리기관명관할경찰서명CCTV설치여부CCTV설치대수보호구역도로폭데이터기준일자
89초등학교테크노4초등학교대구광역시 달성군 유가읍 테크노대로5길 34대구광역시 달성군 유가읍 봉리 62335.692235128.467738대구광역시 달성군청달성경찰서N0<NA>2019-09-10
90유치원테크노4유치원대구광역시 달성군 유가읍 테크노대로5길 34대구광역시 달성군 유가읍 봉리 62335.692235128.467738대구광역시 달성군청달성경찰서N0<NA>2019-09-10
91초등학교서동초등학교대구광역시 달성군 다사읍 서재로 7길 53대구광역시 달성군 다사읍 서재리 92835.871814128.488807대구광역시 달성군청달성경찰서N0<NA>2019-09-10
92유치원서동유치원대구광역시 달성군 다사읍 서재로 7길 55대구광역시 달성군 다사읍 서재리 92835.871814128.488431대구광역시 달성군청달성경찰서N0<NA>2019-09-10
93초등학교포산초등학교대구광역시 달성군 현풍면 테크노북로 80대구광역시 달성군 현풍면 중리 48335.694877128.452629대구광역시 달성군청달성경찰서N0<NA>2019-09-10
94유치원포산유치원대구광역시 달성군 현풍면 테크노북로 80대구광역시 달성군 현풍면 중리 48335.694877128.452629대구광역시 달성군청달성경찰서N0<NA>2019-09-10
95초등학교세현초등학교대구광역시 달성군 구지면 국가산단대로66길 10대구광역시 달성군 구지면 창리 144635.659783128.419806대구광역시 달성군청달성경찰서N0<NA>2019-09-10
96유치원비슬향 유치원대구광역시 달성군 현풍면 현풍동로 22길 17대구광역시 달성군 현풍면 상리 50035.700464128.450888대구광역시 달성군청달성경찰서N0<NA>2019-09-10
97유치원도담소리숲 유치원대구광역시 달성군 화원읍 인흥2길 79대구광역시 달성군 화원읍 본리리 60035.788433128.519776대구광역시 달성군청달성경찰서N0<NA>2019-09-10
98유치원옥포예일유치원대구광역시 달성군 옥포면 법화길 61대구광역시 달성군 옥포면 교항리 1716-335.78657128.446206대구광역시 달성군청달성경찰서N0<NA>2019-09-10