Overview

Dataset statistics

Number of variables12
Number of observations114
Missing cells228
Missing cells (%)16.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.3 KiB
Average record size in memory101.2 B

Variable types

Categorical4
Text3
Numeric2
Boolean1
Unsupported2

Dataset

Description대구광역시_북구_어린이보호구역
Author대구광역시 북구
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=15012891&dataSetDetailId=150128911f34dfaf245b0_201912181448&provdMethod=FILE

Alerts

관리기관명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
위도 is highly overall correlated with 관할경찰서명High correlation
경도 is highly overall correlated with 관할경찰서명High correlation
관할경찰서명 is highly overall correlated with 위도 and 1 other fieldsHigh correlation
CCTV설치여부 is highly imbalanced (92.7%)Imbalance
CCTV설치대수 has 114 (100.0%) missing valuesMissing
보호구역도로폭 has 114 (100.0%) missing valuesMissing
소재지도로명주소 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique
CCTV설치대수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
보호구역도로폭 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-03-13 13:36:19.144930
Analysis finished2024-03-13 13:36:20.381329
Duration1.24 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설종류
Categorical

Distinct4
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
초등학교
39 
유치원
38 
어린이집
36 
특수학교
 
1

Length

Max length4
Median length4
Mean length3.6666667
Min length3

Unique

Unique1 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
초등학교 39
34.2%
유치원 38
33.3%
어린이집 36
31.6%
특수학교 1
 
0.9%

Length

2024-03-13T22:36:20.453397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T22:36:20.579867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
초등학교 39
34.2%
유치원 38
33.3%
어린이집 36
31.6%
특수학교 1
 
0.9%
Distinct113
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-03-13T22:36:20.837345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length13
Mean length5.7017544
Min length4

Characters and Unicode

Total characters650
Distinct characters145
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique112 ?
Unique (%)98.2%

Sample

1st row가람유치원
2nd row강북초등
3rd row경전유치원
4th row경진초등
5th row관남초등
ValueCountFrequency (%)
성북초등 2
 
1.7%
칼라풀어린이집 1
 
0.9%
침산초등 1
 
0.9%
침산ing유치원 1
 
0.9%
칠성초등 1
 
0.9%
칠곡한솔유치원 1
 
0.9%
칠곡초등 1
 
0.9%
칠곡유치원 1
 
0.9%
칠곡어린이집 1
 
0.9%
담은어린이집 1
 
0.9%
Other values (105) 105
90.5%
2024-03-13T22:36:21.347913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
45
 
6.9%
41
 
6.3%
41
 
6.3%
40
 
6.2%
40
 
6.2%
39
 
6.0%
35
 
5.4%
35
 
5.4%
34
 
5.2%
12
 
1.8%
Other values (135) 288
44.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 641
98.6%
Lowercase Letter 3
 
0.5%
Other Punctuation 2
 
0.3%
Space Separator 2
 
0.3%
Open Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
45
 
7.0%
41
 
6.4%
41
 
6.4%
40
 
6.2%
40
 
6.2%
39
 
6.1%
35
 
5.5%
35
 
5.5%
34
 
5.3%
12
 
1.9%
Other values (128) 279
43.5%
Lowercase Letter
ValueCountFrequency (%)
i 1
33.3%
n 1
33.3%
g 1
33.3%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 641
98.6%
Common 6
 
0.9%
Latin 3
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
45
 
7.0%
41
 
6.4%
41
 
6.4%
40
 
6.2%
40
 
6.2%
39
 
6.1%
35
 
5.5%
35
 
5.5%
34
 
5.3%
12
 
1.9%
Other values (128) 279
43.5%
Common
ValueCountFrequency (%)
, 2
33.3%
2
33.3%
( 1
16.7%
) 1
16.7%
Latin
ValueCountFrequency (%)
i 1
33.3%
n 1
33.3%
g 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 641
98.6%
ASCII 9
 
1.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
45
 
7.0%
41
 
6.4%
41
 
6.4%
40
 
6.2%
40
 
6.2%
39
 
6.1%
35
 
5.5%
35
 
5.5%
34
 
5.3%
12
 
1.9%
Other values (128) 279
43.5%
ASCII
ValueCountFrequency (%)
, 2
22.2%
2
22.2%
i 1
11.1%
n 1
11.1%
g 1
11.1%
( 1
11.1%
) 1
11.1%
Distinct114
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-03-13T22:36:21.698867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length26
Mean length19.184211
Min length15

Characters and Unicode

Total characters2187
Distinct characters97
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

Unique114 ?
Unique (%)100.0%

Sample

1st row대구광역시 북구 칠곡중앙대로52길 20, 삼성아파트
2nd row대구광역시 북구 구암서로 50
3rd row대구광역시 북구 복현로 11
4th row대구광역시 북구 경진로12길 5
5th row대구광역시 북구 칠곡중앙대로91길 10
ValueCountFrequency (%)
대구광역시 114
24.3%
북구 114
24.3%
20 4
 
0.9%
17 4
 
0.9%
동천로 4
 
0.9%
복현로20길 3
 
0.6%
34 3
 
0.6%
40 3
 
0.6%
도남길 3
 
0.6%
16 3
 
0.6%
Other values (181) 214
45.6%
2024-03-13T22:36:22.243885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
355
16.2%
238
 
10.9%
137
 
6.3%
118
 
5.4%
115
 
5.3%
115
 
5.3%
114
 
5.2%
108
 
4.9%
1 88
 
4.0%
73
 
3.3%
Other values (87) 726
33.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1366
62.5%
Decimal Number 416
 
19.0%
Space Separator 355
 
16.2%
Dash Punctuation 35
 
1.6%
Other Punctuation 13
 
0.6%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
238
17.4%
137
10.0%
118
 
8.6%
115
 
8.4%
115
 
8.4%
114
 
8.3%
108
 
7.9%
73
 
5.3%
22
 
1.6%
21
 
1.5%
Other values (72) 305
22.3%
Decimal Number
ValueCountFrequency (%)
1 88
21.2%
2 67
16.1%
3 48
11.5%
0 40
9.6%
4 40
9.6%
5 36
8.7%
7 31
 
7.5%
6 30
 
7.2%
9 19
 
4.6%
8 17
 
4.1%
Space Separator
ValueCountFrequency (%)
355
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 35
100.0%
Other Punctuation
ValueCountFrequency (%)
, 13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1366
62.5%
Common 821
37.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
238
17.4%
137
10.0%
118
 
8.6%
115
 
8.4%
115
 
8.4%
114
 
8.3%
108
 
7.9%
73
 
5.3%
22
 
1.6%
21
 
1.5%
Other values (72) 305
22.3%
Common
ValueCountFrequency (%)
355
43.2%
1 88
 
10.7%
2 67
 
8.2%
3 48
 
5.8%
0 40
 
4.9%
4 40
 
4.9%
5 36
 
4.4%
- 35
 
4.3%
7 31
 
3.8%
6 30
 
3.7%
Other values (5) 51
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1366
62.5%
ASCII 821
37.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
355
43.2%
1 88
 
10.7%
2 67
 
8.2%
3 48
 
5.8%
0 40
 
4.9%
4 40
 
4.9%
5 36
 
4.4%
- 35
 
4.3%
7 31
 
3.8%
6 30
 
3.7%
Other values (5) 51
 
6.2%
Hangul
ValueCountFrequency (%)
238
17.4%
137
10.0%
118
 
8.6%
115
 
8.4%
115
 
8.4%
114
 
8.3%
108
 
7.9%
73
 
5.3%
22
 
1.6%
21
 
1.5%
Other values (72) 305
22.3%
Distinct113
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-03-13T22:36:22.597775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length21
Mean length17.447368
Min length15

Characters and Unicode

Total characters1989
Distinct characters57
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

Unique112 ?
Unique (%)98.2%

Sample

1st row대구광역시 북구 태전동 608-5
2nd row대구광역시 북구 구암동 785-1
3rd row대구광역시 북구 복현동 337-3
4th row대구광역시 북구 복현동 447
5th row대구광역시 북구 관음동 1386-2
ValueCountFrequency (%)
대구광역시 114
25.0%
북구 114
25.0%
읍내동 13
 
2.9%
태전동 12
 
2.6%
구암동 10
 
2.2%
복현동 9
 
2.0%
동천동 7
 
1.5%
국우동 6
 
1.3%
학정동 6
 
1.3%
침산동 6
 
1.3%
Other values (128) 159
34.9%
2024-03-13T22:36:23.067105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
342
17.2%
238
12.0%
125
 
6.3%
119
 
6.0%
114
 
5.7%
114
 
5.7%
114
 
5.7%
114
 
5.7%
1 92
 
4.6%
- 64
 
3.2%
Other values (47) 553
27.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1148
57.7%
Decimal Number 435
 
21.9%
Space Separator 342
 
17.2%
Dash Punctuation 64
 
3.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
238
20.7%
125
10.9%
119
10.4%
114
9.9%
114
9.9%
114
9.9%
114
9.9%
14
 
1.2%
13
 
1.1%
13
 
1.1%
Other values (35) 170
14.8%
Decimal Number
ValueCountFrequency (%)
1 92
21.1%
3 49
11.3%
9 46
10.6%
4 45
10.3%
6 39
9.0%
2 37
8.5%
7 37
8.5%
8 31
 
7.1%
5 31
 
7.1%
0 28
 
6.4%
Space Separator
ValueCountFrequency (%)
342
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 64
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1148
57.7%
Common 841
42.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
238
20.7%
125
10.9%
119
10.4%
114
9.9%
114
9.9%
114
9.9%
114
9.9%
14
 
1.2%
13
 
1.1%
13
 
1.1%
Other values (35) 170
14.8%
Common
ValueCountFrequency (%)
342
40.7%
1 92
 
10.9%
- 64
 
7.6%
3 49
 
5.8%
9 46
 
5.5%
4 45
 
5.4%
6 39
 
4.6%
2 37
 
4.4%
7 37
 
4.4%
8 31
 
3.7%
Other values (2) 59
 
7.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1148
57.7%
ASCII 841
42.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
342
40.7%
1 92
 
10.9%
- 64
 
7.6%
3 49
 
5.8%
9 46
 
5.5%
4 45
 
5.4%
6 39
 
4.6%
2 37
 
4.4%
7 37
 
4.4%
8 31
 
3.7%
Other values (2) 59
 
7.0%
Hangul
ValueCountFrequency (%)
238
20.7%
125
10.9%
119
10.4%
114
9.9%
114
9.9%
114
9.9%
114
9.9%
14
 
1.2%
13
 
1.1%
13
 
1.1%
Other values (35) 170
14.8%

위도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct114
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.919981
Minimum35.879317
Maximum35.960913
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-03-13T22:36:23.230207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.879317
5-th percentile35.882397
Q135.899904
median35.923093
Q335.938907
95-th percentile35.950844
Maximum35.960913
Range0.08159531
Interquartile range (IQR)0.03900281

Descriptive statistics

Standard deviation0.022816563
Coefficient of variation (CV)0.00063520534
Kurtosis-1.2081243
Mean35.919981
Median Absolute Deviation (MAD)0.020452785
Skewness-0.24662322
Sum4094.8778
Variance0.00052059557
MonotonicityNot monotonic
2024-03-13T22:36:23.461344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.9198599 1
 
0.9%
35.9230319 1
 
0.9%
35.8920708 1
 
0.9%
35.8911138 1
 
0.9%
35.8882997 1
 
0.9%
35.88703349 1
 
0.9%
35.9259879 1
 
0.9%
35.94517034 1
 
0.9%
35.94612775 1
 
0.9%
35.9438646 1
 
0.9%
Other values (104) 104
91.2%
ValueCountFrequency (%)
35.87931739 1
0.9%
35.8793927 1
0.9%
35.8799004 1
0.9%
35.88089463 1
0.9%
35.88114395 1
0.9%
35.88190419 1
0.9%
35.88266282 1
0.9%
35.88376396 1
0.9%
35.8841001 1
0.9%
35.88471833 1
0.9%
ValueCountFrequency (%)
35.9609127 1
0.9%
35.9540283 1
0.9%
35.9522319 1
0.9%
35.951241 1
0.9%
35.9512033 1
0.9%
35.9511061 1
0.9%
35.95070348 1
0.9%
35.9502955 1
0.9%
35.94955113 1
0.9%
35.9490276 1
0.9%

경도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct114
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.57352
Minimum128.50969
Maximum128.63028
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-03-13T22:36:23.629944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.50969
5-th percentile128.5409
Q1128.55184
median128.56643
Q3128.59556
95-th percentile128.62152
Maximum128.63028
Range0.1205892
Interquartile range (IQR)0.043725225

Descriptive statistics

Standard deviation0.027868722
Coefficient of variation (CV)0.0002167532
Kurtosis-0.85017295
Mean128.57352
Median Absolute Deviation (MAD)0.02040165
Skewness0.25940917
Sum14657.381
Variance0.00077666564
MonotonicityNot monotonic
2024-03-13T22:36:23.814709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.548361 1
 
0.9%
128.5505023 1
 
0.9%
128.6257607 1
 
0.9%
128.5850731 1
 
0.9%
128.5962947 1
 
0.9%
128.5932396 1
 
0.9%
128.5550239 1
 
0.9%
128.5517715 1
 
0.9%
128.5524375 1
 
0.9%
128.5514868 1
 
0.9%
Other values (104) 104
91.2%
ValueCountFrequency (%)
128.5096883 1
0.9%
128.5152503 1
0.9%
128.5182978 1
0.9%
128.5386172 1
0.9%
128.5396668 1
0.9%
128.5406343 1
0.9%
128.5410377 1
0.9%
128.5411962 1
0.9%
128.5425981 1
0.9%
128.5426024 1
0.9%
ValueCountFrequency (%)
128.6302775 1
0.9%
128.6281419 1
0.9%
128.6257607 1
0.9%
128.6227636 1
0.9%
128.6222078 1
0.9%
128.6215383 1
0.9%
128.621512 1
0.9%
128.6212152 1
0.9%
128.6203544 1
0.9%
128.6170922 1
0.9%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
대구광역시 북구청
114 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대구광역시 북구청 114
100.0%

Length

2024-03-13T22:36:23.951028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T22:36:24.065409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구광역시 114
50.0%
북구청 114
50.0%

관할경찰서명
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
강북경찰서
80 
북부경찰서
34 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row강북경찰서
2nd row강북경찰서
3rd row북부경찰서
4th row북부경찰서
5th row강북경찰서

Common Values

ValueCountFrequency (%)
강북경찰서 80
70.2%
북부경찰서 34
29.8%

Length

2024-03-13T22:36:24.164485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T22:36:24.568053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강북경찰서 80
70.2%
북부경찰서 34
29.8%

CCTV설치여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size246.0 B
True
113 
False
 
1
ValueCountFrequency (%)
True 113
99.1%
False 1
 
0.9%
2024-03-13T22:36:24.654951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

CCTV설치대수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing114
Missing (%)100.0%
Memory size1.1 KiB

보호구역도로폭
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing114
Missing (%)100.0%
Memory size1.1 KiB

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-01-31
114 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-01-31
2nd row2024-01-31
3rd row2024-01-31
4th row2024-01-31
5th row2024-01-31

Common Values

ValueCountFrequency (%)
2024-01-31 114
100.0%

Length

2024-03-13T22:36:24.768124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T22:36:24.875261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-01-31 114
100.0%

Interactions

2024-03-13T22:36:19.815964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T22:36:19.566435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T22:36:19.959156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T22:36:19.679159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-13T22:36:24.940471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설종류위도경도관할경찰서명CCTV설치여부
시설종류1.0000.0000.0000.0000.000
위도0.0001.0000.6470.9830.000
경도0.0000.6471.0000.8060.187
관할경찰서명0.0000.9830.8061.0000.000
CCTV설치여부0.0000.0000.1870.0001.000
2024-03-13T22:36:25.049035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관할경찰서명시설종류CCTV설치여부
관할경찰서명1.0000.0000.000
시설종류0.0001.0000.000
CCTV설치여부0.0000.0001.000
2024-03-13T22:36:25.146039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도시설종류관할경찰서명CCTV설치여부
위도1.000-0.3980.0000.8530.000
경도-0.3981.0000.0000.8040.181
시설종류0.0000.0001.0000.0000.000
관할경찰서명0.8530.8040.0001.0000.000
CCTV설치여부0.0000.1810.0000.0001.000

Missing values

2024-03-13T22:36:20.113295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T22:36:20.306056image/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
0유치원가람유치원대구광역시 북구 칠곡중앙대로52길 20, 삼성아파트대구광역시 북구 태전동 608-535.91986128.548361대구광역시 북구청강북경찰서Y<NA><NA>2024-01-31
1초등학교강북초등대구광역시 북구 구암서로 50대구광역시 북구 구암동 785-135.940834128.566782대구광역시 북구청강북경찰서Y<NA><NA>2024-01-31
2유치원경전유치원대구광역시 북구 복현로 11대구광역시 북구 복현동 337-335.893506128.622764대구광역시 북구청북부경찰서Y<NA><NA>2024-01-31
3초등학교경진초등대구광역시 북구 경진로12길 5대구광역시 북구 복현동 44735.892028128.617092대구광역시 북구청북부경찰서Y<NA><NA>2024-01-31
4초등학교관남초등대구광역시 북구 칠곡중앙대로91길 10대구광역시 북구 관음동 1386-235.936838128.547788대구광역시 북구청강북경찰서Y<NA><NA>2024-01-31
5어린이집관음어린이집대구광역시 북구 관음중앙로22길 3대구광역시 북구 관음동 19035.943228128.545681대구광역시 북구청강북경찰서Y<NA><NA>2024-01-31
6초등학교관음초등대구광역시 북구 관음동로17길 16대구광역시 북구 관음동 1340-135.939921128.547112대구광역시 북구청강북경찰서Y<NA><NA>2024-01-31
7초등학교관천초등대구광역시 북구 구암로22길 17대구광역시 북구 태전동 999-235.930564128.552048대구광역시 북구청강북경찰서Y<NA><NA>2024-01-31
8초등학교교동초등대구광역시 북구 관음중앙로34길 4대구광역시 북구 읍내동 130535.944789128.549473대구광역시 북구청강북경찰서Y<NA><NA>2024-01-31
9어린이집구암어린이집대구광역시 북구 구암로42길 13-20대구광역시 북구 구암동 46835.930299128.563021대구광역시 북구청강북경찰서Y<NA><NA>2024-01-31
시설종류대상시설명소재지도로명주소소재지지번주소위도경도관리기관명관할경찰서명CCTV설치여부CCTV설치대수보호구역도로폭데이터기준일자
104유치원혜성유치원대구광역시 북구 학정로42길 40대구광역시 북구 구암동 69935.926783128.558968대구광역시 북구청강북경찰서Y<NA><NA>2024-01-31
105유치원혜송유치원대구광역시 북구 호암로 40, 삼성아파트대구광역시 북구 칠성동2가 378-435.881904128.593784대구광역시 북구청북부경찰서Y<NA><NA>2024-01-31
106유치원환타랜드숲유치원대구광역시 북구 매천로17길 17-1대구광역시 북구 매천동 49335.904341128.538617대구광역시 북구청강북경찰서Y<NA><NA>2024-01-31
107유치원환타랜드유치원대구광역시 북구 대천로18길 6대구광역시 북구 동천동 939-135.936462128.558067대구광역시 북구청강북경찰서Y<NA><NA>2024-01-31
108유치원효성유치원대구광역시 북구 동암로37길 17대구광역시 북구 국우동 1110-235.944865128.571085대구광역시 북구청강북경찰서Y<NA><NA>2024-01-31
109어린이집신명유치원대구광역시 북구 동변로20길 15대구광역시 북구 동변동 31935.921926128.602014대구광역시 북구청강북경찰서Y<NA><NA>2024-01-31
110유치원다인유치원대구광역시 북구 대현남로 34대구광역시 북구 대현동 53435.881144128.607228대구광역시 북구청북부경찰서Y<NA><NA>2024-01-31
111초등학교대산초등대구광역시 북구 신천동로 900대구광역시 북구 산격동 789-435.896114128.593191대구광역시 북구청북부경찰서Y<NA><NA>2024-01-31
112어린이집명문어린이집대구광역시 북구 복현로20길 15-1대구광역시 북구 복현동 9635.900776128.621512대구광역시 북구청북부경찰서Y<NA><NA>2024-01-31
113초등학교연경초등학교대구광역시 북구 연경중앙로11길 19대구광역시 북구 연경동 93735.945723128.616056대구광역시 북구청강북경찰서N<NA><NA>2024-01-31