Overview

Dataset statistics

Number of variables13
Number of observations153
Missing cells94
Missing cells (%)4.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory16.4 KiB
Average record size in memory109.9 B

Variable types

Numeric5
Categorical3
Text3
Boolean1
DateTime1

Dataset

Description대구 달서구 내 어린이보호구역의 현황 정보입니다. 데이터는 위경도 및 시설 관리기관명, CCTV 설치여부,. 설치대수 등의 데이터를 제공하며 현장정보는 지도 서비스를 통해서 제공될 예정입니다.
Author대구광역시 달서구
URLhttps://www.data.go.kr/data/15110063/fileData.do

Alerts

관리기관명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
순번 is highly overall correlated with CCTV 설치대수 and 1 other fieldsHigh correlation
위도 is highly overall correlated with 관할경찰서명High correlation
CCTV 설치대수 is highly overall correlated with 순번 and 1 other fieldsHigh correlation
시설종류 is highly overall correlated with 순번High correlation
관할경찰서명 is highly overall correlated with 위도High correlation
CCTV 설치여부 is highly overall correlated with CCTV 설치대수High correlation
CCTV 설치여부 is highly imbalanced (70.4%)Imbalance
현장정보 has 94 (61.4%) missing valuesMissing
순번 has unique valuesUnique
대상시설명 has unique valuesUnique
CCTV 설치대수 has 8 (5.2%) zerosZeros

Reproduction

Analysis started2023-12-12 11:00:24.941193
Analysis finished2023-12-12 11:00:30.310383
Duration5.37 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct153
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean77
Minimum1
Maximum153
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-12-12T20:00:30.423842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8.6
Q139
median77
Q3115
95-th percentile145.4
Maximum153
Range152
Interquartile range (IQR)76

Descriptive statistics

Standard deviation44.311398
Coefficient of variation (CV)0.5754727
Kurtosis-1.2
Mean77
Median Absolute Deviation (MAD)38
Skewness0
Sum11781
Variance1963.5
MonotonicityStrictly increasing
2023-12-12T20:00:30.642393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.7%
106 1
 
0.7%
99 1
 
0.7%
100 1
 
0.7%
101 1
 
0.7%
102 1
 
0.7%
103 1
 
0.7%
104 1
 
0.7%
105 1
 
0.7%
107 1
 
0.7%
Other values (143) 143
93.5%
ValueCountFrequency (%)
1 1
0.7%
2 1
0.7%
3 1
0.7%
4 1
0.7%
5 1
0.7%
6 1
0.7%
7 1
0.7%
8 1
0.7%
9 1
0.7%
10 1
0.7%
ValueCountFrequency (%)
153 1
0.7%
152 1
0.7%
151 1
0.7%
150 1
0.7%
149 1
0.7%
148 1
0.7%
147 1
0.7%
146 1
0.7%
145 1
0.7%
144 1
0.7%

시설종류
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
초등학교
56 
어린이집
49 
유치원
47 
특수학교
 
1

Length

Max length4
Median length4
Mean length3.6928105
Min length3

Unique

Unique1 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
초등학교 56
36.6%
어린이집 49
32.0%
유치원 47
30.7%
특수학교 1
 
0.7%

Length

2023-12-12T20:00:30.850922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:00:31.005327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
초등학교 56
36.6%
어린이집 49
32.0%
유치원 47
30.7%
특수학교 1
 
0.7%

대상시설명
Text

UNIQUE 

Distinct153
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-12T20:00:31.333694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length6
Mean length6.3137255
Min length5

Characters and Unicode

Total characters966
Distinct characters159
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

Unique153 ?
Unique (%)100.0%

Sample

1st row대구세명학교
2nd row대구한샘초등학교
3rd row한솔초등학교
4th row용천초등학교
5th row죽전초등학교
ValueCountFrequency (%)
대구세명학교 1
 
0.7%
썸머힐어린이집 1
 
0.7%
로이스어린이집 1
 
0.7%
예현유치원 1
 
0.7%
은초롱유치원 1
 
0.7%
태양유치원 1
 
0.7%
아이캔유치원 1
 
0.7%
롯데가야유치원 1
 
0.7%
행복나무유치원 1
 
0.7%
월성아이세상어린이집 1
 
0.7%
Other values (143) 143
93.5%
2023-12-12T20:00:31.858948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
학 60
 
6.2%
이 58
 
6.0%
교 58
 
6.0%
초 57
 
5.9%
등 56
 
5.8%
원 56
 
5.8%
어 50
 
5.2%
집 49
 
5.1%
린 49
 
5.1%
유 48
 
5.0%
Other values (149) 425
44.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 962
99.6%
Close Punctuation 2
 
0.2%
Open Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 60
 
6.2%
이 58
 
6.0%
교 58
 
6.0%
초 57
 
5.9%
등 56
 
5.8%
원 56
 
5.8%
어 50
 
5.2%
집 49
 
5.1%
린 49
 
5.1%
유 48
 
5.0%
Other values (147) 421
43.8%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 962
99.6%
Common 4
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 60
 
6.2%
이 58
 
6.0%
교 58
 
6.0%
초 57
 
5.9%
등 56
 
5.8%
원 56
 
5.8%
어 50
 
5.2%
집 49
 
5.1%
린 49
 
5.1%
유 48
 
5.0%
Other values (147) 421
43.8%
Common
ValueCountFrequency (%)
) 2
50.0%
( 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 962
99.6%
ASCII 4
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
학 60
 
6.2%
이 58
 
6.0%
교 58
 
6.0%
초 57
 
5.9%
등 56
 
5.8%
원 56
 
5.8%
어 50
 
5.2%
집 49
 
5.1%
린 49
 
5.1%
유 48
 
5.0%
Other values (147) 421
43.8%
ASCII
ValueCountFrequency (%)
) 2
50.0%
( 2
50.0%

소재지지번주소
Text

Distinct152
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-12T20:00:32.346044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length21
Mean length18.562092
Min length15

Characters and Unicode

Total characters2840
Distinct characters49
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

Unique151 ?
Unique (%)98.7%

Sample

1st row대구광역시 달서구 용산동 13
2nd row대구광역시 달서구 대천동 467
3rd row대구광역시 달서구 유천동 609
4th row대구광역시 달서구 유천동 574
5th row대구광역시 달서구 죽전동 174-1
ValueCountFrequency (%)
대구광역시 153
25.0%
달서구 153
25.0%
상인동 20
 
3.3%
용산동 16
 
2.6%
월성동 14
 
2.3%
이곡동 13
 
2.1%
진천동 13
 
2.1%
송현동 11
 
1.8%
감삼동 8
 
1.3%
도원동 8
 
1.3%
Other values (164) 203
33.2%
2023-12-12T20:00:33.079153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
459
16.2%
구 306
 
10.8%
대 160
 
5.6%
광 153
 
5.4%
역 153
 
5.4%
시 153
 
5.4%
달 153
 
5.4%
서 153
 
5.4%
동 153
 
5.4%
1 136
 
4.8%
Other values (39) 861
30.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1681
59.2%
Decimal Number 606
 
21.3%
Space Separator 459
 
16.2%
Dash Punctuation 94
 
3.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 306
18.2%
대 160
9.5%
광 153
9.1%
역 153
9.1%
시 153
9.1%
달 153
9.1%
서 153
9.1%
동 153
9.1%
인 20
 
1.2%
상 20
 
1.2%
Other values (27) 257
15.3%
Decimal Number
ValueCountFrequency (%)
1 136
22.4%
5 70
11.6%
2 67
11.1%
4 63
10.4%
3 61
10.1%
0 48
 
7.9%
8 41
 
6.8%
6 41
 
6.8%
7 40
 
6.6%
9 39
 
6.4%
Space Separator
ValueCountFrequency (%)
459
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 94
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1681
59.2%
Common 1159
40.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 306
18.2%
대 160
9.5%
광 153
9.1%
역 153
9.1%
시 153
9.1%
달 153
9.1%
서 153
9.1%
동 153
9.1%
인 20
 
1.2%
상 20
 
1.2%
Other values (27) 257
15.3%
Common
ValueCountFrequency (%)
459
39.6%
1 136
 
11.7%
- 94
 
8.1%
5 70
 
6.0%
2 67
 
5.8%
4 63
 
5.4%
3 61
 
5.3%
0 48
 
4.1%
8 41
 
3.5%
6 41
 
3.5%
Other values (2) 79
 
6.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1681
59.2%
ASCII 1159
40.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
459
39.6%
1 136
 
11.7%
- 94
 
8.1%
5 70
 
6.0%
2 67
 
5.8%
4 63
 
5.4%
3 61
 
5.3%
0 48
 
4.1%
8 41
 
3.5%
6 41
 
3.5%
Other values (2) 79
 
6.8%
Hangul
ValueCountFrequency (%)
구 306
18.2%
대 160
9.5%
광 153
9.1%
역 153
9.1%
시 153
9.1%
달 153
9.1%
서 153
9.1%
동 153
9.1%
인 20
 
1.2%
상 20
 
1.2%
Other values (27) 257
15.3%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct152
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.833936
Minimum35.798319
Maximum35.863418
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-12-12T20:00:33.322607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.798319
5-th percentile35.806523
Q135.816514
median35.833427
Q335.852829
95-th percentile35.859762
Maximum35.863418
Range0.06509891
Interquartile range (IQR)0.03631428

Descriptive statistics

Standard deviation0.018932348
Coefficient of variation (CV)0.0005283357
Kurtosis-1.4776005
Mean35.833936
Median Absolute Deviation (MAD)0.01840963
Skewness-0.050760439
Sum5482.5923
Variance0.0003584338
MonotonicityNot monotonic
2023-12-12T20:00:33.600183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.81479047 2
 
1.3%
35.81996355 1
 
0.7%
35.83085801 1
 
0.7%
35.85425496 1
 
0.7%
35.81403925 1
 
0.7%
35.80876662 1
 
0.7%
35.83903418 1
 
0.7%
35.85822816 1
 
0.7%
35.81744454 1
 
0.7%
35.82283274 1
 
0.7%
Other values (142) 142
92.8%
ValueCountFrequency (%)
35.79831931 1
0.7%
35.8032986 1
0.7%
35.80397398 1
0.7%
35.80469338 1
0.7%
35.80474345 1
0.7%
35.80596789 1
0.7%
35.80600034 1
0.7%
35.80636651 1
0.7%
35.80662752 1
0.7%
35.80665732 1
0.7%
ValueCountFrequency (%)
35.86341822 1
0.7%
35.86110349 1
0.7%
35.86109075 1
0.7%
35.86108823 1
0.7%
35.86063851 1
0.7%
35.86028574 1
0.7%
35.86015477 1
0.7%
35.86008631 1
0.7%
35.85954502 1
0.7%
35.85948655 1
0.7%

경도
Real number (ℝ)

Distinct152
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.53105
Minimum128.479
Maximum128.57239
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-12-12T20:00:33.860058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.479
5-th percentile128.50012
Q1128.52101
median128.53202
Q3128.54327
95-th percentile128.55459
Maximum128.57239
Range0.0933822
Interquartile range (IQR)0.022266

Descriptive statistics

Standard deviation0.017040241
Coefficient of variation (CV)0.00013257684
Kurtosis0.25815489
Mean128.53105
Median Absolute Deviation (MAD)0.0112582
Skewness-0.32466028
Sum19665.25
Variance0.0002903698
MonotonicityNot monotonic
2023-12-12T20:00:34.093458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.5403876 2
 
1.3%
128.5388941 1
 
0.7%
128.5474352 1
 
0.7%
128.4938553 1
 
0.7%
128.5293484 1
 
0.7%
128.5148179 1
 
0.7%
128.5471926 1
 
0.7%
128.4964377 1
 
0.7%
128.5194445 1
 
0.7%
128.5260536 1
 
0.7%
Other values (142) 142
92.8%
ValueCountFrequency (%)
128.4790049 1
0.7%
128.4815078 1
0.7%
128.4938553 1
0.7%
128.4947454 1
0.7%
128.496288 1
0.7%
128.4964377 1
0.7%
128.4990642 1
0.7%
128.4997002 1
0.7%
128.5003974 1
0.7%
128.5018556 1
0.7%
ValueCountFrequency (%)
128.5723871 1
0.7%
128.5722902 1
0.7%
128.5706752 1
0.7%
128.5588127 1
0.7%
128.5563354 1
0.7%
128.5560843 1
0.7%
128.5558724 1
0.7%
128.5549372 1
0.7%
128.5543582 1
0.7%
128.5540861 1
0.7%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
대구광역시 달서구청
153 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대구광역시 달서구청 153
100.0%

Length

2023-12-12T20:00:34.316346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:00:34.486274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구광역시 153
50.0%
달서구청 153
50.0%

관할경찰서명
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
대구광역시 달서경찰서
84 
대구광역시 성서경찰서
69 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대구광역시 달서경찰서 84
54.9%
대구광역시 성서경찰서 69
45.1%

Length

2023-12-12T20:00:34.672876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:00:34.846653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구광역시 153
50.0%
달서경찰서 84
27.5%
성서경찰서 69
22.5%

CCTV 설치여부
Boolean

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size285.0 B
True
145 
False
 
8
ValueCountFrequency (%)
True 145
94.8%
False 8
 
5.2%
2023-12-12T20:00:35.017137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

CCTV 설치대수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct9
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.9411765
Minimum0
Maximum9
Zeros8
Zeros (%)5.2%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-12-12T20:00:35.172026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.6
Q11
median1
Q32
95-th percentile5
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.6945551
Coefficient of variation (CV)0.87295263
Kurtosis3.6880104
Mean1.9411765
Median Absolute Deviation (MAD)0
Skewness1.8769034
Sum297
Variance2.871517
MonotonicityNot monotonic
2023-12-12T20:00:35.347687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 83
54.2%
2 29
 
19.0%
5 11
 
7.2%
4 9
 
5.9%
0 8
 
5.2%
3 7
 
4.6%
6 2
 
1.3%
7 2
 
1.3%
9 2
 
1.3%
ValueCountFrequency (%)
0 8
 
5.2%
1 83
54.2%
2 29
 
19.0%
3 7
 
4.6%
4 9
 
5.9%
5 11
 
7.2%
6 2
 
1.3%
7 2
 
1.3%
9 2
 
1.3%
ValueCountFrequency (%)
9 2
 
1.3%
7 2
 
1.3%
6 2
 
1.3%
5 11
 
7.2%
4 9
 
5.9%
3 7
 
4.6%
2 29
 
19.0%
1 83
54.2%
0 8
 
5.2%

보호구역도로폭
Real number (ℝ)

Distinct10
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.346405
Minimum6
Maximum50
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-12-12T20:00:35.536443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile6
Q18
median8
Q320
95-th percentile30
Maximum50
Range44
Interquartile range (IQR)12

Descriptive statistics

Standard deviation8.5642466
Coefficient of variation (CV)0.64168939
Kurtosis1.7744656
Mean13.346405
Median Absolute Deviation (MAD)2
Skewness1.4244138
Sum2042
Variance73.346319
MonotonicityNot monotonic
2023-12-12T20:00:35.720006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
8 45
29.4%
6 32
20.9%
20 21
13.7%
10 16
 
10.5%
15 11
 
7.2%
25 10
 
6.5%
30 7
 
4.6%
12 5
 
3.3%
35 5
 
3.3%
50 1
 
0.7%
ValueCountFrequency (%)
6 32
20.9%
8 45
29.4%
10 16
 
10.5%
12 5
 
3.3%
15 11
 
7.2%
20 21
13.7%
25 10
 
6.5%
30 7
 
4.6%
35 5
 
3.3%
50 1
 
0.7%
ValueCountFrequency (%)
50 1
 
0.7%
35 5
 
3.3%
30 7
 
4.6%
25 10
 
6.5%
20 21
13.7%
15 11
 
7.2%
12 5
 
3.3%
10 16
 
10.5%
8 45
29.4%
6 32
20.9%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum2022-10-07 00:00:00
Maximum2022-10-07 00:00:00
2023-12-12T20:00:35.886399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:00:36.059732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

현장정보
Text

MISSING 

Distinct59
Distinct (%)100.0%
Missing94
Missing (%)61.4%
Memory size1.3 KiB
2023-12-12T20:00:36.386745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length17
Mean length17.288136
Min length17

Characters and Unicode

Total characters1020
Distinct characters16
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique59 ?
Unique (%)100.0%

Sample

1st row1660118854019.jpg
2nd row1659509718758.jpg
3rd row1659930822252.jpg
4th row1659929817649.jpg
5th row1659666371245.jpg
ValueCountFrequency (%)
1660118854019.jpg 1
 
1.7%
1659671113355.jpg 1
 
1.7%
1659671068943.jpg 1
 
1.7%
1659660648008.jpeg 1
 
1.7%
1659671305110.jpg 1
 
1.7%
1659944663478.jpeg 1
 
1.7%
1660189255093.jpg 1
 
1.7%
1660121290921.jpg 1
 
1.7%
1660195882855.jpeg 1
 
1.7%
1660018011349.jpeg 1
 
1.7%
Other values (49) 49
83.1%
2023-12-12T20:00:37.025037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 135
13.2%
6 131
12.8%
9 99
9.7%
5 92
9.0%
0 81
7.9%
. 59
 
5.8%
j 59
 
5.8%
p 59
 
5.8%
g 59
 
5.8%
8 55
 
5.4%
Other values (6) 191
18.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 768
75.3%
Lowercase Letter 192
 
18.8%
Other Punctuation 59
 
5.8%
Connector Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 135
17.6%
6 131
17.1%
9 99
12.9%
5 92
12.0%
0 81
10.5%
8 55
7.2%
2 50
 
6.5%
7 47
 
6.1%
3 45
 
5.9%
4 33
 
4.3%
Lowercase Letter
ValueCountFrequency (%)
j 59
30.7%
p 59
30.7%
g 59
30.7%
e 15
 
7.8%
Other Punctuation
ValueCountFrequency (%)
. 59
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 828
81.2%
Latin 192
 
18.8%

Most frequent character per script

Common
ValueCountFrequency (%)
1 135
16.3%
6 131
15.8%
9 99
12.0%
5 92
11.1%
0 81
9.8%
. 59
7.1%
8 55
6.6%
2 50
 
6.0%
7 47
 
5.7%
3 45
 
5.4%
Other values (2) 34
 
4.1%
Latin
ValueCountFrequency (%)
j 59
30.7%
p 59
30.7%
g 59
30.7%
e 15
 
7.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1020
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 135
13.2%
6 131
12.8%
9 99
9.7%
5 92
9.0%
0 81
7.9%
. 59
 
5.8%
j 59
 
5.8%
p 59
 
5.8%
g 59
 
5.8%
8 55
 
5.4%
Other values (6) 191
18.7%

Interactions

2023-12-12T20:00:29.211537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:00:25.739784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:00:26.990368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:00:27.737983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:00:28.406020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:00:29.367215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:00:25.928388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:00:27.157284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:00:27.901747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:00:28.573412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:00:29.510026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:00:26.576180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:00:27.301190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:00:28.035302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:00:28.743766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:00:29.661140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:00:26.717116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:00:27.461246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:00:28.158642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:00:28.904880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:00:29.796901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:00:26.847787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:00:27.595532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:00:28.283313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:00:29.063273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T20:00:37.180397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번시설종류위도경도관할경찰서명CCTV 설치여부CCTV 설치대수보호구역도로폭현장정보
순번1.0000.8910.0000.0000.1020.4940.6090.3811.000
시설종류0.8911.0000.0000.0000.0000.1190.6160.6381.000
위도0.0000.0001.0000.4450.9870.0000.0000.2511.000
경도0.0000.0000.4451.0000.3220.0000.4270.2591.000
관할경찰서명0.1020.0000.9870.3221.0000.0000.0000.1921.000
CCTV 설치여부0.4940.1190.0000.0000.0001.0001.0000.0001.000
CCTV 설치대수0.6090.6160.0000.4270.0001.0001.0000.1681.000
보호구역도로폭0.3810.6380.2510.2590.1920.0000.1681.0001.000
현장정보1.0001.0001.0001.0001.0001.0001.0001.0001.000
2023-12-12T20:00:37.389619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관할경찰서명CCTV 설치여부시설종류
관할경찰서명1.0000.0000.000
CCTV 설치여부0.0001.0000.077
시설종류0.0000.0771.000
2023-12-12T20:00:38.001201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번위도경도CCTV 설치대수보호구역도로폭시설종류관할경찰서명CCTV 설치여부
순번1.0000.0670.044-0.723-0.4510.7500.0730.367
위도0.0671.000-0.1530.012-0.0710.0000.8770.000
경도0.044-0.1531.000-0.036-0.1610.0000.2270.000
CCTV 설치대수-0.7230.012-0.0361.0000.2690.4380.0000.977
보호구역도로폭-0.451-0.071-0.1610.2691.0000.3240.1400.000
시설종류0.7500.0000.0000.4380.3241.0000.0000.077
관할경찰서명0.0730.8770.2270.0000.1400.0001.0000.000
CCTV 설치여부0.3670.0000.0000.9770.0000.0770.0001.000

Missing values

2023-12-12T20:00:29.968163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T20:00:30.212621image/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

순번시설종류대상시설명소재지지번주소위도경도관리기관명관할경찰서명CCTV 설치여부CCTV 설치대수보호구역도로폭데이터기준일자현장정보
01특수학교대구세명학교대구광역시 달서구 용산동 1335.863418128.524318대구광역시 달서구청대구광역시 성서경찰서Y1302022-10-071660118854019.jpg
12초등학교대구한샘초등학교대구광역시 달서구 대천동 46735.817128.518813대구광역시 달서구청대구광역시 달서경찰서Y4202022-10-071659509718758.jpg
23초등학교한솔초등학교대구광역시 달서구 유천동 60935.816514128.515676대구광역시 달서구청대구광역시 달서경찰서Y3122022-10-071659930822252.jpg
34초등학교용천초등학교대구광역시 달서구 유천동 57435.819725128.512598대구광역시 달서구청대구광역시 달서경찰서Y1152022-10-071659929817649.jpg
45초등학교죽전초등학교대구광역시 달서구 죽전동 174-135.857788128.539926대구광역시 달서구청대구광역시 성서경찰서Y2102022-10-071659666371245.jpg
56초등학교와룡초등학교대구광역시 달서구 이곡동 1191-135.85707128.501856대구광역시 달서구청대구광역시 성서경찰서Y2252022-10-07<NA>
67초등학교신당초등학교대구광역시 달서구 신당동 1844-235.8533128.496288대구광역시 달서구청대구광역시 성서경찰서Y6202022-10-07<NA>
78초등학교학산초등학교대구광역시 달서구 월성동 82-135.831107128.526086대구광역시 달서구청대구광역시 달서경찰서Y2152022-10-071660195830947.jpeg
89초등학교월촌초등학교대구광역시 달서구 상인동 151935.816356128.543274대구광역시 달서구청대구광역시 달서경찰서Y2152022-10-07<NA>
910초등학교송일초등학교대구광역시 달서구 월성동 500-335.824119128.532813대구광역시 달서구청대구광역시 달서경찰서Y4152022-10-07<NA>
순번시설종류대상시설명소재지지번주소위도경도관리기관명관할경찰서명CCTV 설치여부CCTV 설치대수보호구역도로폭데이터기준일자현장정보
143144어린이집상원어린이집대구광역시 달서구 월성동 148235.822509128.521669대구광역시 달서구청대구광역시 달서경찰서Y182022-10-071660017935885.jpeg
144145어린이집보성어린이집대구광역시 달서구 용산동 501-235.860286128.517145대구광역시 달서구청대구광역시 성서경찰서Y1302022-10-071660121972997.jpg
145146어린이집다애어린이집대구광역시 달서구 두류동 804-13635.858152128.570675대구광역시 달서구청대구광역시 성서경찰서Y162022-10-07<NA>
146147어린이집하늘꿈어린이집대구광역시 달서구 월성동 152135.82401128.520716대구광역시 달서구청대구광역시 달서경찰서Y162022-10-07<NA>
147148어린이집미리내어린이집대구광역시 달서구 감삼동 132-935.849986128.543334대구광역시 달서구청대구광역시 성서경찰서N0102022-10-07<NA>
148149어린이집한글나라어린이집대구광역시 달서구 성당동 500-735.841151128.550888대구광역시 달서구청대구광역시 성서경찰서N062022-10-07<NA>
149150어린이집월배어린이집대구광역시 달서구 진천동 628-135.812508128.521008대구광역시 달서구청대구광역시 달서경찰서N062022-10-071659923361694.jpg
150151어린이집금봉어린이집대구광역시 달서구 두류동 636-235.851836128.552207대구광역시 달서구청대구광역시 달서경찰서N062022-10-07<NA>
151152어린이집조은어린이집대구광역시 달서구 감삼동 35-535.855415128.54221대구광역시 달서구청대구광역시 달서경찰서Y162022-10-07<NA>
152153어린이집큰별어린이집대구광역시 달서구 이곡동 1321-135.861103128.504619대구광역시 달서구청대구광역시 성서경찰서N062022-10-07<NA>