Overview

Dataset statistics

Number of variables12
Number of observations40
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.0 KiB
Average record size in memory102.2 B

Variable types

Categorical5
Text3
Numeric3
Boolean1

Dataset

Description대구광역시_남구_어린이보호구역_20200323
Author대구광역시 남구
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=15008301&dataSetDetailId=150083011ed60c53d4cc5_202003241342&provdMethod=FILE

Alerts

관리기관명 has constant value ""Constant
관할경찰서명 has constant value ""Constant
CCTV설치여부 has constant value ""Constant
데이터기준일자 has constant value ""Constant
대상시설명 has unique valuesUnique

Reproduction

Analysis started2024-04-21 09:52:48.569354
Analysis finished2024-04-21 09:52:52.230794
Duration3.66 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설종류
Categorical

Distinct4
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size448.0 B
어린이집
13 
초등학교
11 
유치원
11 
특수학교
5 

Length

Max length4
Median length4
Mean length3.725
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
어린이집 13
32.5%
초등학교 11
27.5%
유치원 11
27.5%
특수학교 5
 
12.5%

Length

2024-04-21T18:52:52.439471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T18:52:52.774908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
어린이집 13
32.5%
초등학교 11
27.5%
유치원 11
27.5%
특수학교 5
 
12.5%

대상시설명
Text

UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size448.0 B
2024-04-21T18:52:53.530513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length6.2
Min length4

Characters and Unicode

Total characters248
Distinct characters76
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

Unique40 ?
Unique (%)100.0%

Sample

1st row남도초등학교
2nd row영선초등학교
3rd row성명초등학교
4th row남덕초등학교
5th row대명초등학교
ValueCountFrequency (%)
어린이집 2
 
4.7%
참좋은 1
 
2.3%
청동어린이집 1
 
2.3%
보물섬어린이집 1
 
2.3%
동학어린이집 1
 
2.3%
남도어린이집 1
 
2.3%
해달별어린이집 1
 
2.3%
해맑은꼬마또래어린이집 1
 
2.3%
꼬마또래어린이집 1
 
2.3%
영화학교 1
 
2.3%
Other values (32) 32
74.4%
2024-04-21T18:52:54.755855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
학 17
 
6.9%
교 16
 
6.5%
이 14
 
5.6%
린 14
 
5.6%
어 13
 
5.2%
집 13
 
5.2%
원 11
 
4.4%
초 11
 
4.4%
등 11
 
4.4%
유 11
 
4.4%
Other values (66) 117
47.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 245
98.8%
Space Separator 3
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 17
 
6.9%
교 16
 
6.5%
이 14
 
5.7%
린 14
 
5.7%
어 13
 
5.3%
집 13
 
5.3%
원 11
 
4.5%
초 11
 
4.5%
등 11
 
4.5%
유 11
 
4.5%
Other values (65) 114
46.5%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 245
98.8%
Common 3
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 17
 
6.9%
교 16
 
6.5%
이 14
 
5.7%
린 14
 
5.7%
어 13
 
5.3%
집 13
 
5.3%
원 11
 
4.5%
초 11
 
4.5%
등 11
 
4.5%
유 11
 
4.5%
Other values (65) 114
46.5%
Common
ValueCountFrequency (%)
3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 245
98.8%
ASCII 3
 
1.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
학 17
 
6.9%
교 16
 
6.5%
이 14
 
5.7%
린 14
 
5.7%
어 13
 
5.3%
집 13
 
5.3%
원 11
 
4.5%
초 11
 
4.5%
등 11
 
4.5%
유 11
 
4.5%
Other values (65) 114
46.5%
ASCII
ValueCountFrequency (%)
3
100.0%

소재지도로명주소
Text

Distinct35
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Memory size448.0 B
2024-04-21T18:52:55.634928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length24
Mean length20.425
Min length15

Characters and Unicode

Total characters817
Distinct characters54
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)82.5%

Sample

1st row대구광역시 남구 현충동길 74(대명동)
2nd row대구광역시 남구 영선길96(이천동)
3rd row대구광역시 남구 성당로 30길 55(대명동)
4th row대구광역시 남구 앞산순환로 93길 33
5th row대구광역시 남구 대명로 110
ValueCountFrequency (%)
대구광역시 40
23.4%
남구 40
23.4%
성당로50길 5
 
2.9%
33(대명동 5
 
2.9%
대명로 3
 
1.8%
중앙대로 3
 
1.8%
효동길 3
 
1.8%
앞산순환로 3
 
1.8%
대명서로 2
 
1.2%
장전 2
 
1.2%
Other values (62) 65
38.0%
2024-04-21T18:52:56.917385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
131
16.0%
구 80
 
9.8%
대 70
 
8.6%
남 41
 
5.0%
광 40
 
4.9%
역 40
 
4.9%
시 40
 
4.9%
길 30
 
3.7%
로 29
 
3.5%
동 26
 
3.2%
Other values (44) 290
35.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 499
61.1%
Decimal Number 138
 
16.9%
Space Separator 131
 
16.0%
Open Punctuation 21
 
2.6%
Close Punctuation 21
 
2.6%
Dash Punctuation 7
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 80
16.0%
대 70
14.0%
남 41
8.2%
광 40
8.0%
역 40
8.0%
시 40
8.0%
길 30
 
6.0%
로 29
 
5.8%
동 26
 
5.2%
명 24
 
4.8%
Other values (30) 79
15.8%
Decimal Number
ValueCountFrequency (%)
3 26
18.8%
1 17
12.3%
4 17
12.3%
0 16
11.6%
5 16
11.6%
2 15
10.9%
7 9
 
6.5%
6 8
 
5.8%
9 8
 
5.8%
8 6
 
4.3%
Space Separator
ValueCountFrequency (%)
131
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 499
61.1%
Common 318
38.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 80
16.0%
대 70
14.0%
남 41
8.2%
광 40
8.0%
역 40
8.0%
시 40
8.0%
길 30
 
6.0%
로 29
 
5.8%
동 26
 
5.2%
명 24
 
4.8%
Other values (30) 79
15.8%
Common
ValueCountFrequency (%)
131
41.2%
3 26
 
8.2%
( 21
 
6.6%
) 21
 
6.6%
1 17
 
5.3%
4 17
 
5.3%
0 16
 
5.0%
5 16
 
5.0%
2 15
 
4.7%
7 9
 
2.8%
Other values (4) 29
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 499
61.1%
ASCII 318
38.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
131
41.2%
3 26
 
8.2%
( 21
 
6.6%
) 21
 
6.6%
1 17
 
5.3%
4 17
 
5.3%
0 16
 
5.0%
5 16
 
5.0%
2 15
 
4.7%
7 9
 
2.8%
Other values (4) 29
 
9.1%
Hangul
ValueCountFrequency (%)
구 80
16.0%
대 70
14.0%
남 41
8.2%
광 40
8.0%
역 40
8.0%
시 40
8.0%
길 30
 
6.0%
로 29
 
5.8%
동 26
 
5.2%
명 24
 
4.8%
Other values (30) 79
15.8%

소재지지번주소
Text

Distinct35
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Memory size448.0 B
2024-04-21T18:52:57.612870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length18.25
Min length16

Characters and Unicode

Total characters730
Distinct characters24
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

Unique33 ?
Unique (%)82.5%

Sample

1st row대구광역시 남구 대명동 1709
2nd row대구광역시 남구 이천동 477
3rd row대구광역시 남구 대명동 3050
4th row대구광역시 남구 대명동 531-1
5th row대구광역시 남구 대명동 960
ValueCountFrequency (%)
대구광역시 40
25.0%
남구 40
25.0%
대명동 26
16.2%
봉덕동 8
 
5.0%
이천동 6
 
3.8%
2288 5
 
3.1%
1283-5 2
 
1.2%
1709 1
 
0.6%
1293-60 1
 
0.6%
278-3 1
 
0.6%
Other values (30) 30
18.8%
2024-04-21T18:52:58.738757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
120
16.4%
구 80
11.0%
대 66
 
9.0%
1 41
 
5.6%
광 40
 
5.5%
역 40
 
5.5%
시 40
 
5.5%
남 40
 
5.5%
동 40
 
5.5%
2 29
 
4.0%
Other values (14) 194
26.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 400
54.8%
Decimal Number 183
25.1%
Space Separator 120
 
16.4%
Dash Punctuation 27
 
3.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 80
20.0%
대 66
16.5%
광 40
10.0%
역 40
10.0%
시 40
10.0%
남 40
10.0%
동 40
10.0%
명 26
 
6.5%
덕 8
 
2.0%
봉 8
 
2.0%
Other values (2) 12
 
3.0%
Decimal Number
ValueCountFrequency (%)
1 41
22.4%
2 29
15.8%
8 24
13.1%
3 19
10.4%
0 18
9.8%
5 16
 
8.7%
7 11
 
6.0%
9 9
 
4.9%
6 8
 
4.4%
4 8
 
4.4%
Space Separator
ValueCountFrequency (%)
120
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 400
54.8%
Common 330
45.2%

Most frequent character per script

Common
ValueCountFrequency (%)
120
36.4%
1 41
 
12.4%
2 29
 
8.8%
- 27
 
8.2%
8 24
 
7.3%
3 19
 
5.8%
0 18
 
5.5%
5 16
 
4.8%
7 11
 
3.3%
9 9
 
2.7%
Other values (2) 16
 
4.8%
Hangul
ValueCountFrequency (%)
구 80
20.0%
대 66
16.5%
광 40
10.0%
역 40
10.0%
시 40
10.0%
남 40
10.0%
동 40
10.0%
명 26
 
6.5%
덕 8
 
2.0%
봉 8
 
2.0%
Other values (2) 12
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 400
54.8%
ASCII 330
45.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
120
36.4%
1 41
 
12.4%
2 29
 
8.8%
- 27
 
8.2%
8 24
 
7.3%
3 19
 
5.8%
0 18
 
5.5%
5 16
 
4.8%
7 11
 
3.3%
9 9
 
2.7%
Other values (2) 16
 
4.8%
Hangul
ValueCountFrequency (%)
구 80
20.0%
대 66
16.5%
광 40
10.0%
역 40
10.0%
시 40
10.0%
남 40
10.0%
동 40
10.0%
명 26
 
6.5%
덕 8
 
2.0%
봉 8
 
2.0%
Other values (2) 12
 
3.0%

위도
Real number (ℝ)

Distinct35
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.844273
Minimum35.830432
Maximum35.856459
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size488.0 B
2024-04-21T18:52:59.134799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.830432
5-th percentile35.831932
Q135.837217
median35.843462
Q335.852337
95-th percentile35.855948
Maximum35.856459
Range0.02602713
Interquartile range (IQR)0.015119812

Descriptive statistics

Standard deviation0.0084790616
Coefficient of variation (CV)0.00023655275
Kurtosis-1.3827029
Mean35.844273
Median Absolute Deviation (MAD)0.00822435
Skewness-0.0096933161
Sum1433.7709
Variance7.1894485 × 10-5
MonotonicityNot monotonic
2024-04-21T18:52:59.559003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
35.85594776 5
 
12.5%
35.84435136 2
 
5.0%
35.8450271854 1
 
2.5%
35.83078021 1
 
2.5%
35.8319927865 1
 
2.5%
35.8535976237 1
 
2.5%
35.84228388 1
 
2.5%
35.83750833 1
 
2.5%
35.84234083 1
 
2.5%
35.836342356 1
 
2.5%
Other values (25) 25
62.5%
ValueCountFrequency (%)
35.8304316 1
2.5%
35.83078021 1
2.5%
35.8319927865 1
2.5%
35.83248149 1
2.5%
35.83304211 1
2.5%
35.8343637 1
2.5%
35.83464799 1
2.5%
35.83497147 1
2.5%
35.836342356 1
2.5%
35.83634242 1
2.5%
ValueCountFrequency (%)
35.85645873 1
 
2.5%
35.85594776 5
12.5%
35.8535976237 1
 
2.5%
35.85355805 1
 
2.5%
35.8532170905 1
 
2.5%
35.8529010075 1
 
2.5%
35.85214855 1
 
2.5%
35.85170781 1
 
2.5%
35.85166437 1
 
2.5%
35.85011603 1
 
2.5%

경도
Real number (ℝ)

Distinct35
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.58437
Minimum128.56037
Maximum128.60531
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size488.0 B
2024-04-21T18:52:59.958564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.56037
5-th percentile128.56263
Q1128.57508
median128.58224
Q3128.59754
95-th percentile128.60482
Maximum128.60531
Range0.0449336
Interquartile range (IQR)0.022462172

Descriptive statistics

Standard deviation0.013096591
Coefficient of variation (CV)0.00010185213
Kurtosis-1.0903697
Mean128.58437
Median Absolute Deviation (MAD)0.00876185
Skewness0.087225285
Sum5143.3748
Variance0.00017152071
MonotonicityNot monotonic
2024-04-21T18:53:00.567328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
128.575077 5
 
12.5%
128.5910004 2
 
5.0%
128.5814016425 1
 
2.5%
128.5603734 1
 
2.5%
128.5626800777 1
 
2.5%
128.6000086543 1
 
2.5%
128.5824945 1
 
2.5%
128.5840424 1
 
2.5%
128.5781777 1
 
2.5%
128.6011007087 1
 
2.5%
Other values (25) 25
62.5%
ValueCountFrequency (%)
128.5603734 1
 
2.5%
128.561677 1
 
2.5%
128.5626800777 1
 
2.5%
128.5688886063 1
 
2.5%
128.569401 1
 
2.5%
128.5708254 1
 
2.5%
128.5737032781 1
 
2.5%
128.5739489212 1
 
2.5%
128.575077 5
12.5%
128.5760583 1
 
2.5%
ValueCountFrequency (%)
128.605307 1
2.5%
128.6051265 1
2.5%
128.6048051 1
2.5%
128.6011021 1
2.5%
128.6011007087 1
2.5%
128.6010893 1
2.5%
128.600747 1
2.5%
128.600145 1
2.5%
128.6000086543 1
2.5%
128.5996261874 1
2.5%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size448.0 B
대구광역시
40 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대구광역시 40
100.0%

Length

2024-04-21T18:53:00.961882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T18:53:01.266673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구광역시 40
100.0%

관할경찰서명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size448.0 B
남부경찰서
40 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
남부경찰서 40
100.0%

Length

2024-04-21T18:53:01.579805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T18:53:01.884092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남부경찰서 40
100.0%

CCTV설치여부
Boolean

CONSTANT 

Distinct1
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size168.0 B
True
40 
ValueCountFrequency (%)
True 40
100.0%
2024-04-21T18:53:02.151273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

CCTV설치대수
Real number (ℝ)

Distinct11
Distinct (%)27.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.05
Minimum1
Maximum14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size488.0 B
2024-04-21T18:53:02.432657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11.75
median3.5
Q36
95-th percentile9.05
Maximum14
Range13
Interquartile range (IQR)4.25

Descriptive statistics

Standard deviation3.0377961
Coefficient of variation (CV)0.75007311
Kurtosis1.5165977
Mean4.05
Median Absolute Deviation (MAD)2.5
Skewness1.1919556
Sum162
Variance9.2282051
MonotonicityNot monotonic
2024-04-21T18:53:02.801250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1 10
25.0%
4 6
15.0%
2 6
15.0%
3 4
 
10.0%
8 3
 
7.5%
6 3
 
7.5%
5 3
 
7.5%
7 2
 
5.0%
14 1
 
2.5%
9 1
 
2.5%
ValueCountFrequency (%)
1 10
25.0%
2 6
15.0%
3 4
 
10.0%
4 6
15.0%
5 3
 
7.5%
6 3
 
7.5%
7 2
 
5.0%
8 3
 
7.5%
9 1
 
2.5%
10 1
 
2.5%
ValueCountFrequency (%)
14 1
 
2.5%
10 1
 
2.5%
9 1
 
2.5%
8 3
7.5%
7 2
 
5.0%
6 3
7.5%
5 3
7.5%
4 6
15.0%
3 4
10.0%
2 6
15.0%

보호구역도로폭
Categorical

Distinct16
Distinct (%)40.0%
Missing0
Missing (%)0.0%
Memory size448.0 B
6~8
13 
8
6 
8~15
3 
6~10
2 
8~12
2 
Other values (11)
14 

Length

Max length5
Median length4
Mean length2.875
Min length1

Unique

Unique8 ?
Unique (%)20.0%

Sample

1st row6~8
2nd row6~10
3rd row8~12
4th row6~8
5th row6~10

Common Values

ValueCountFrequency (%)
6~8 13
32.5%
8 6
15.0%
8~15 3
 
7.5%
6~10 2
 
5.0%
8~12 2
 
5.0%
40 2
 
5.0%
6 2
 
5.0%
10 2
 
5.0%
8~17 1
 
2.5%
10~25 1
 
2.5%
Other values (6) 6
15.0%

Length

2024-04-21T18:53:03.236690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
6~8 13
32.5%
8 6
15.0%
8~15 3
 
7.5%
6~10 2
 
5.0%
8~12 2
 
5.0%
40 2
 
5.0%
6 2
 
5.0%
10 2
 
5.0%
8~17 1
 
2.5%
10~25 1
 
2.5%
Other values (6) 6
15.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size448.0 B
2020-03-23
40 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020-03-23
2nd row2020-03-23
3rd row2020-03-23
4th row2020-03-23
5th row2020-03-23

Common Values

ValueCountFrequency (%)
2020-03-23 40
100.0%

Length

2024-04-21T18:53:03.629267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T18:53:03.934591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020-03-23 40
100.0%

Interactions

2024-04-21T18:52:50.637414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T18:52:49.202525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T18:52:49.924125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T18:52:50.882213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T18:52:49.441111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T18:52:50.162434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T18:52:51.122634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T18:52:49.677370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T18:52:50.396096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T18:53:04.128438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설종류대상시설명소재지도로명주소소재지지번주소위도경도CCTV설치대수보호구역도로폭
시설종류1.0001.0000.9790.9790.6880.1720.8520.612
대상시설명1.0001.0001.0001.0001.0001.0001.0001.000
소재지도로명주소0.9791.0001.0000.9991.0001.0000.9921.000
소재지지번주소0.9791.0000.9991.0001.0001.0000.9920.994
위도0.6881.0001.0001.0001.0000.6250.2440.641
경도0.1721.0001.0001.0000.6251.0000.6590.788
CCTV설치대수0.8521.0000.9920.9920.2440.6591.0000.285
보호구역도로폭0.6121.0001.0000.9940.6410.7880.2851.000
2024-04-21T18:53:04.409991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
보호구역도로폭시설종류
보호구역도로폭1.0000.315
시설종류0.3151.000
2024-04-21T18:53:04.653183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도CCTV설치대수시설종류보호구역도로폭
위도1.0000.163-0.2880.4790.271
경도0.1631.000-0.0380.1270.393
CCTV설치대수-0.288-0.0381.0000.4940.029
시설종류0.4790.1270.4941.0000.315
보호구역도로폭0.2710.3930.0290.3151.000

Missing values

2024-04-21T18:52:51.487385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T18:52:52.019648image/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
0초등학교남도초등학교대구광역시 남구 현충동길 74(대명동)대구광역시 남구 대명동 170935.845027128.581402대구광역시남부경찰서Y76~82020-03-23
1초등학교영선초등학교대구광역시 남구 영선길96(이천동)대구광역시 남구 이천동 47735.852901128.596014대구광역시남부경찰서Y86~102020-03-23
2초등학교성명초등학교대구광역시 남구 성당로 30길 55(대명동)대구광역시 남구 대명동 305035.845152128.570825대구광역시남부경찰서Y148~122020-03-23
3초등학교남덕초등학교대구광역시 남구 앞산순환로 93길 33대구광역시 남구 대명동 531-135.833042128.573949대구광역시남부경찰서Y66~82020-03-23
4초등학교대명초등학교대구광역시 남구 대명로 110대구광역시 남구 대명동 96035.838869128.568889대구광역시남부경찰서Y56~102020-03-23
5초등학교대봉초등학교대구광역시 남구 대봉로 26길 33(이천동)대구광역시 남구 이천동 253-235.851664128.604805대구광역시남부경찰서Y68~172020-03-23
6초등학교남명초등학교대구광역시 남구 큰골4길 41대구광역시 남구 대명동 48335.834364128.581983대구광역시남부경찰서Y78~152020-03-23
7초등학교봉덕초등학교대구광역시 남구 효성로 71(봉덕동)대구광역시 남구 봉덕동 131935.839681128.596844대구광역시남부경찰서Y88~152020-03-23
8초등학교남대구초등학교대구광역시 남구 중앙대로47길 55대구광역시 남구 대명동 1820-535.853558128.586485대구광역시남부경찰서Y96~82020-03-23
9초등학교대덕초등학교대구광역시 남구 대명서로 28(대명동)대구광역시 남구 대명동 1571-135.830432128.561677대구광역시남부경찰서Y108~152020-03-23
시설종류대상시설명소재지도로명주소소재지지번주소위도경도관리기관명관할경찰서명CCTV설치여부CCTV설치대수보호구역도로폭데이터기준일자
30특수학교영화학교대구광역시 남구 성당로50길 33(대명동)대구광역시 남구 대명동 228835.855948128.575077대구광역시남부경찰서Y16~82020-03-23
31특수학교보명학교대구광역시 남구 성당로50길 33(대명동)대구광역시 남구 대명동 228835.855948128.575077대구광역시남부경찰서Y16~82020-03-23
32특수학교보건학교대구광역시 남구 성당로50길 33(대명동)대구광역시 남구 대명동 228835.855948128.575077대구광역시남부경찰서Y16~82020-03-23
33특수학교덕희학교대구광역시 남구 성당로50길 33(대명동)대구광역시 남구 대명동 228835.855948128.575077대구광역시남부경찰서Y16~82020-03-23
34유치원경상유치원대구광역시 남구 현충로48길 31-8대구광역시 남구 대명동 1819-1135.853217128.585464대구광역시남부경찰서Y26~122020-03-23
35유치원드림유치원대구광역시 남구 대봉로30길36-8대구광역시 남구 이천동 272-235.851708128.605127대구광역시남부경찰서Y182020-03-23
36어린이집더플로우 어린이집대구광역시 남구 대봉로30길40대구광역시 남구 이천동 278-335.852149128.605307대구광역시남부경찰서Y182020-03-23
37유치원아이린유치원대구광역시 남구 효동길 14-4대구광역시 남구 봉덕동 1293-6035.839628128.599626대구광역시남부경찰서Y88~122020-03-23
38어린이집참좋은 어린이집대구광역시 남구 중앙대로 126대구광역시 남구 봉덕동 1301-2035.844351128.591대구광역시남부경찰서Y1402020-03-23
39유치원아름그루 유치원대구광역시 남구 효동길 91대구광역시 남구 봉덕동 1283-535.836342128.601102대구광역시남부경찰서Y56~82020-03-23