Overview

Dataset statistics

Number of variables7
Number of observations129
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.6 KiB
Average record size in memory60.0 B

Variable types

Categorical2
Numeric3
Text2

Dataset

Description울산광역시 울주군의 어린이 보호구역 CCTV 현황에 대한 자료로 읍면,위도,경도,관리번호,설치목적,등록명칭,주소의 항목을 제공합니다.
Author울산광역시 울주군
URLhttps://www.data.go.kr/data/15101975/fileData.do

Alerts

설치목적 has constant value ""Constant
위도 is highly overall correlated with 경도 and 1 other fieldsHigh correlation
경도 is highly overall correlated with 위도 and 1 other fieldsHigh correlation
관리번호 is highly overall correlated with 읍면High correlation
읍면 is highly overall correlated with 위도 and 2 other fieldsHigh correlation
관리번호 has unique valuesUnique
등록명칭 has unique valuesUnique

Reproduction

Analysis started2024-01-14 13:53:49.191201
Analysis finished2024-01-14 13:53:50.776409
Duration1.59 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

읍면
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)9.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
범서읍
40 
언양읍
22 
온양읍
17 
온산읍
13 
서생면
9 
Other values (7)
28 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique2 ?
Unique (%)1.6%

Sample

1st row두동면
2nd row두서면
3rd row범서읍
4th row범서읍
5th row범서읍

Common Values

ValueCountFrequency (%)
범서읍 40
31.0%
언양읍 22
17.1%
온양읍 17
13.2%
온산읍 13
 
10.1%
서생면 9
 
7.0%
삼남읍 8
 
6.2%
상북면 6
 
4.7%
웅촌면 6
 
4.7%
청량읍 4
 
3.1%
삼동면 2
 
1.6%
Other values (2) 2
 
1.6%

Length

2024-01-14T22:53:50.848037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
범서읍 40
31.0%
언양읍 22
17.1%
온양읍 17
13.2%
온산읍 13
 
10.1%
서생면 9
 
7.0%
삼남읍 8
 
6.2%
상북면 6
 
4.7%
웅촌면 6
 
4.7%
청량읍 4
 
3.1%
삼동면 2
 
1.6%
Other values (2) 2
 
1.6%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct117
Distinct (%)90.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.512133
Minimum35.3497
Maximum35.6699
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-01-14T22:53:50.995872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.3497
5-th percentile35.38482
Q135.4353
median35.5544
Q335.5681
95-th percentile35.59548
Maximum35.6699
Range0.3202
Interquartile range (IQR)0.1328

Descriptive statistics

Standard deviation0.078354354
Coefficient of variation (CV)0.0022064108
Kurtosis-0.95682364
Mean35.512133
Median Absolute Deviation (MAD)0.0229
Skewness-0.55564957
Sum4581.0652
Variance0.0061394047
MonotonicityNot monotonic
2024-01-14T22:53:51.177052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.5531 2
 
1.6%
35.3497 2
 
1.6%
35.5635 2
 
1.6%
35.5714 2
 
1.6%
35.5612 2
 
1.6%
35.5221 2
 
1.6%
35.5544 2
 
1.6%
35.4064 2
 
1.6%
35.5726 2
 
1.6%
35.4134 2
 
1.6%
Other values (107) 109
84.5%
ValueCountFrequency (%)
35.3497 2
1.6%
35.35 1
0.8%
35.3505 1
0.8%
35.3513 1
0.8%
35.3573 1
0.8%
35.3845 1
0.8%
35.3853 1
0.8%
35.386 1
0.8%
35.4049 1
0.8%
35.4052 1
0.8%
ValueCountFrequency (%)
35.6699 1
0.8%
35.6541 1
0.8%
35.6427 1
0.8%
35.6154 1
0.8%
35.615 1
0.8%
35.6129 1
0.8%
35.6026 1
0.8%
35.5848 1
0.8%
35.5847 1
0.8%
35.5825 1
0.8%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct125
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.22348
Minimum129.0685
Maximum129.342
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-01-14T22:53:51.395501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum129.0685
5-th percentile129.1028
Q1129.1408
median129.2396
Q3129.2876
95-th percentile129.32476
Maximum129.342
Range0.2735
Interquartile range (IQR)0.1468

Descriptive statistics

Standard deviation0.076749109
Coefficient of variation (CV)0.00059392542
Kurtosis-1.1212928
Mean129.22348
Median Absolute Deviation (MAD)0.0558
Skewness-0.42731127
Sum16669.829
Variance0.0058904258
MonotonicityNot monotonic
2024-01-14T22:53:51.569751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
129.327 2
 
1.6%
129.2305 2
 
1.6%
129.2222 2
 
1.6%
129.1572 2
 
1.6%
129.3046 1
 
0.8%
129.111 1
 
0.8%
129.1105 1
 
0.8%
129.1157 1
 
0.8%
129.308 1
 
0.8%
129.2017 1
 
0.8%
Other values (115) 115
89.1%
ValueCountFrequency (%)
129.0685 1
0.8%
129.0841 1
0.8%
129.0847 1
0.8%
129.0861 1
0.8%
129.0924 1
0.8%
129.0989 1
0.8%
129.1002 1
0.8%
129.1067 1
0.8%
129.1081 1
0.8%
129.1083 1
0.8%
ValueCountFrequency (%)
129.342 1
0.8%
129.3415 1
0.8%
129.3406 1
0.8%
129.327 2
1.6%
129.3268 1
0.8%
129.3258 1
0.8%
129.3232 1
0.8%
129.3224 1
0.8%
129.3158 1
0.8%
129.3156 1
0.8%

관리번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct129
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3921856.3
Minimum1102001
Maximum12162002
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-01-14T22:53:51.744792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1102001
5-th percentile1102007.4
Q11162033
median3152012
Q36112001
95-th percentile11112002
Maximum12162002
Range11060001
Interquartile range (IQR)4949968

Descriptive statistics

Standard deviation2960187.2
Coefficient of variation (CV)0.75479237
Kurtosis0.46084763
Mean3921856.3
Median Absolute Deviation (MAD)1989981
Skewness1.1115467
Sum5.0591946 × 108
Variance8.7627082 × 1012
MonotonicityNot monotonic
2024-01-14T22:53:51.884953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9112001 1
 
0.8%
2102001 1
 
0.8%
2122003 1
 
0.8%
2162012 1
 
0.8%
2162011 1
 
0.8%
2152008 1
 
0.8%
2162010 1
 
0.8%
2142006 1
 
0.8%
2142005 1
 
0.8%
3162022 1
 
0.8%
Other values (119) 119
92.2%
ValueCountFrequency (%)
1102001 1
0.8%
1102002 1
0.8%
1102003 1
0.8%
1102004 1
0.8%
1102005 1
0.8%
1102006 1
0.8%
1102007 1
0.8%
1102008 1
0.8%
1102009 1
0.8%
1112010 1
0.8%
ValueCountFrequency (%)
12162002 1
0.8%
12112001 1
0.8%
11182006 1
0.8%
11162005 1
0.8%
11132004 1
0.8%
11112003 1
0.8%
11112002 1
0.8%
11112001 1
0.8%
10112001 1
0.8%
9112001 1
0.8%

설치목적
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
보호구역
129 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
보호구역 129
100.0%

Length

2024-01-14T22:53:52.023655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T22:53:52.141613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
보호구역 129
100.0%

등록명칭
Text

UNIQUE 

Distinct129
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-01-14T22:53:52.403007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length16
Mean length10.317829
Min length7

Characters and Unicode

Total characters1331
Distinct characters179
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique129 ?
Unique (%)100.0%

Sample

1st row두동 두동초 정문
2nd row두서 두서초 정문
3rd row범서 구영유치원
4th row범서 구영주공2단지 아파트
5th row범서 구영초 DC마트
ValueCountFrequency (%)
범서 40
 
11.2%
정문 31
 
8.7%
언양 22
 
6.2%
후문 18
 
5.0%
온양 17
 
4.8%
온산 13
 
3.6%
서생 9
 
2.5%
삼남 8
 
2.2%
웅촌 6
 
1.7%
상북 6
 
1.7%
Other values (122) 187
52.4%
2024-01-14T22:53:52.905497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
228
 
17.1%
초 71
 
5.3%
서 60
 
4.5%
문 59
 
4.4%
양 47
 
3.5%
범 43
 
3.2%
온 41
 
3.1%
정 35
 
2.6%
원 28
 
2.1%
이 27
 
2.0%
Other values (169) 692
52.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1085
81.5%
Space Separator 228
 
17.1%
Uppercase Letter 6
 
0.5%
Close Punctuation 5
 
0.4%
Open Punctuation 5
 
0.4%
Decimal Number 1
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
초 71
 
6.5%
서 60
 
5.5%
문 59
 
5.4%
양 47
 
4.3%
범 43
 
4.0%
온 41
 
3.8%
정 35
 
3.2%
원 28
 
2.6%
이 27
 
2.5%
언 27
 
2.5%
Other values (159) 647
59.6%
Uppercase Letter
ValueCountFrequency (%)
E 2
33.3%
D 1
16.7%
C 1
16.7%
S 1
16.7%
M 1
16.7%
Space Separator
ValueCountFrequency (%)
228
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1085
81.5%
Common 240
 
18.0%
Latin 6
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
초 71
 
6.5%
서 60
 
5.5%
문 59
 
5.4%
양 47
 
4.3%
범 43
 
4.0%
온 41
 
3.8%
정 35
 
3.2%
원 28
 
2.6%
이 27
 
2.5%
언 27
 
2.5%
Other values (159) 647
59.6%
Common
ValueCountFrequency (%)
228
95.0%
) 5
 
2.1%
( 5
 
2.1%
2 1
 
0.4%
& 1
 
0.4%
Latin
ValueCountFrequency (%)
E 2
33.3%
D 1
16.7%
C 1
16.7%
S 1
16.7%
M 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1085
81.5%
ASCII 246
 
18.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
228
92.7%
) 5
 
2.0%
( 5
 
2.0%
E 2
 
0.8%
2 1
 
0.4%
D 1
 
0.4%
C 1
 
0.4%
S 1
 
0.4%
M 1
 
0.4%
& 1
 
0.4%
Hangul
ValueCountFrequency (%)
초 71
 
6.5%
서 60
 
5.5%
문 59
 
5.4%
양 47
 
4.3%
범 43
 
4.0%
온 41
 
3.8%
정 35
 
3.2%
원 28
 
2.6%
이 27
 
2.5%
언 27
 
2.5%
Other values (159) 647
59.6%

주소
Text

Distinct126
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-01-14T22:53:53.345958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length23
Mean length22.914729
Min length20

Characters and Unicode

Total characters2956
Distinct characters82
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

Unique124 ?
Unique (%)96.1%

Sample

1st row울산광역시 울주군 두동면 구미리 1302
2nd row울산광역시 울주군 두서면 인보리 459-49
3rd row울산광역시 울주군 범서읍 구영리 136-1
4th row울산광역시 울주군 범서읍 구영리 855-2
5th row울산광역시 울주군 범서읍 구영리 842-6
ValueCountFrequency (%)
울산광역시 129
20.0%
울주군 129
20.0%
범서읍 40
 
6.2%
언양읍 22
 
3.4%
구영리 18
 
2.8%
온양읍 17
 
2.6%
온산읍 13
 
2.0%
대안리 12
 
1.9%
천상리 12
 
1.9%
덕신리 10
 
1.5%
Other values (167) 244
37.8%
2024-01-14T22:53:54.048042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
518
17.5%
울 258
 
8.7%
산 148
 
5.0%
역 129
 
4.4%
시 129
 
4.4%
광 129
 
4.4%
주 129
 
4.4%
군 129
 
4.4%
리 129
 
4.4%
- 109
 
3.7%
Other values (72) 1149
38.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1807
61.1%
Decimal Number 522
 
17.7%
Space Separator 518
 
17.5%
Dash Punctuation 109
 
3.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
울 258
14.3%
산 148
 
8.2%
역 129
 
7.1%
시 129
 
7.1%
광 129
 
7.1%
주 129
 
7.1%
군 129
 
7.1%
리 129
 
7.1%
읍 104
 
5.8%
서 60
 
3.3%
Other values (60) 463
25.6%
Decimal Number
ValueCountFrequency (%)
1 86
16.5%
2 71
13.6%
4 68
13.0%
3 68
13.0%
5 51
9.8%
6 42
8.0%
7 42
8.0%
8 40
7.7%
9 29
 
5.6%
0 25
 
4.8%
Space Separator
ValueCountFrequency (%)
518
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 109
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1807
61.1%
Common 1149
38.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
울 258
14.3%
산 148
 
8.2%
역 129
 
7.1%
시 129
 
7.1%
광 129
 
7.1%
주 129
 
7.1%
군 129
 
7.1%
리 129
 
7.1%
읍 104
 
5.8%
서 60
 
3.3%
Other values (60) 463
25.6%
Common
ValueCountFrequency (%)
518
45.1%
- 109
 
9.5%
1 86
 
7.5%
2 71
 
6.2%
4 68
 
5.9%
3 68
 
5.9%
5 51
 
4.4%
6 42
 
3.7%
7 42
 
3.7%
8 40
 
3.5%
Other values (2) 54
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1807
61.1%
ASCII 1149
38.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
518
45.1%
- 109
 
9.5%
1 86
 
7.5%
2 71
 
6.2%
4 68
 
5.9%
3 68
 
5.9%
5 51
 
4.4%
6 42
 
3.7%
7 42
 
3.7%
8 40
 
3.5%
Other values (2) 54
 
4.7%
Hangul
ValueCountFrequency (%)
울 258
14.3%
산 148
 
8.2%
역 129
 
7.1%
시 129
 
7.1%
광 129
 
7.1%
주 129
 
7.1%
군 129
 
7.1%
리 129
 
7.1%
읍 104
 
5.8%
서 60
 
3.3%
Other values (60) 463
25.6%

Interactions

2024-01-14T22:53:50.159622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-14T22:53:49.568251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-14T22:53:49.865468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-14T22:53:50.266693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-14T22:53:49.658780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-14T22:53:49.973573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-14T22:53:50.380500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-14T22:53:49.761274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-14T22:53:50.073113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-14T22:53:54.220069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
읍면위도경도관리번호
읍면1.0000.9160.8731.000
위도0.9161.0000.8220.954
경도0.8730.8221.0000.916
관리번호1.0000.9540.9161.000
2024-01-14T22:53:54.445584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도관리번호읍면
위도1.000-0.682-0.3300.706
경도-0.6821.000-0.1560.620
관리번호-0.330-0.1561.0000.992
읍면0.7060.6200.9921.000

Missing values

2024-01-14T22:53:50.506285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-14T22:53:50.708824image/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

읍면위도경도관리번호설치목적등록명칭주소
0두동면35.6541129.20179112001보호구역두동 두동초 정문울산광역시 울주군 두동면 구미리 1302
1두서면35.6427129.159110112001보호구역두서 두서초 정문울산광역시 울주군 두서면 인보리 459-49
2범서읍35.5662129.25051132013보호구역범서 구영유치원울산광역시 울주군 범서읍 구영리 136-1
3범서읍35.5727129.23911162027보호구역범서 구영주공2단지 아파트울산광역시 울주군 범서읍 구영리 855-2
4범서읍35.5754129.23841162028보호구역범서 구영초 DC마트울산광역시 울주군 범서읍 구영리 842-6
5범서읍35.5766129.24021142015보호구역범서 구영초 SM빌라울산광역시 울주군 범서읍 구영리 716-1
6범서읍35.5761129.23951102001보호구역범서 구영초 정문울산광역시 울주군 범서읍 구영리 718-5
7범서읍35.5773129.23961102002보호구역범서 구영초 후문울산광역시 울주군 범서읍 구영리 714-1
8범서읍35.5537129.25961162032보호구역범서 굴화스크린울산광역시 울주군 범서읍 굴화리 58-6
9범서읍35.5544129.26061112010보호구역범서 굴화초 옆문울산광역시 울주군 범서읍 굴화리 55-9
읍면위도경도관리번호설치목적등록명칭주소
119웅촌면35.458129.17778122003보호구역웅촌 검단리 검단초 정문울산광역시 울주군 웅촌면 검단리 603-3
120웅촌면35.4574129.17718112001보호구역웅촌 검단리 검단초 후문울산광역시 울주군 웅촌면 검단리 1087-2
121웅촌면35.4635129.20728122004보호구역웅촌 웅촌초 정문울산광역시 울주군 웅촌면 곡천리 304
122웅촌면35.4646129.20758112002보호구역웅촌 웅촌초 후문울산광역시 울주군 웅촌면 곡천리 302-12
123웅촌면35.4896129.21278162006보호구역웅촌 장백유치원 인근울산광역시 울주군 웅촌면 대복리 324-8
124웅촌면35.4696129.23978142005보호구역웅촌 통천리 수연어린이집울산광역시 울주군 웅촌면 통천리 807-3
125청량읍35.4879129.30615142005보호구역청량 금샘어린이집울산광역시 울주군 청량읍 상남리 722-1
126청량읍35.5185129.24065132004보호구역청량 문수분교울산광역시 울주군 청량읍 율리 390
127청량읍35.4864129.29865122003보호구역청량 청량초 정문울산광역시 울주군 청량읍 덕하리 462-2
128청량읍35.4874129.29835102002보호구역청량 청량초 후문울산광역시 울주군 청량읍 덕하리 454-7