Overview

Dataset statistics

Number of variables4
Number of observations131
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.4 KiB
Average record size in memory34.0 B

Variable types

Numeric1
Categorical1
Text2

Dataset

Description해당 데이터는 인천광역시 남동구의 불법주정차 단속용 고정형 CCTV 설치위치에 관련된 자료로서, 인천광역시 남동구 불법주정차 단속용 고정형 CCTV 설치위치의 연번, 설치동, 노선별, 설치장소의 정보를 확인할 수 있다.
Author인천광역시
URLhttps://www.incheon.go.kr/data/DATA010201/view?docId=15104494

Alerts

연번 has unique valuesUnique
설치장소 has unique valuesUnique

Reproduction

Analysis started2024-01-28 09:17:02.654162
Analysis finished2024-01-28 09:17:03.077351
Duration0.42 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct131
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean66
Minimum1
Maximum131
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-01-28T18:17:03.140436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.5
Q133.5
median66
Q398.5
95-th percentile124.5
Maximum131
Range130
Interquartile range (IQR)65

Descriptive statistics

Standard deviation37.960506
Coefficient of variation (CV)0.57515918
Kurtosis-1.2
Mean66
Median Absolute Deviation (MAD)33
Skewness0
Sum8646
Variance1441
MonotonicityStrictly increasing
2024-01-28T18:17:03.285241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.8%
84 1
 
0.8%
98 1
 
0.8%
97 1
 
0.8%
96 1
 
0.8%
95 1
 
0.8%
94 1
 
0.8%
93 1
 
0.8%
92 1
 
0.8%
91 1
 
0.8%
Other values (121) 121
92.4%
ValueCountFrequency (%)
1 1
0.8%
2 1
0.8%
3 1
0.8%
4 1
0.8%
5 1
0.8%
6 1
0.8%
7 1
0.8%
8 1
0.8%
9 1
0.8%
10 1
0.8%
ValueCountFrequency (%)
131 1
0.8%
130 1
0.8%
129 1
0.8%
128 1
0.8%
127 1
0.8%
126 1
0.8%
125 1
0.8%
124 1
0.8%
123 1
0.8%
122 1
0.8%

설치동
Categorical

Distinct26
Distinct (%)19.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
구월3동
16 
구월1동
15 
만수2동
10 
논현1동
10 
논현고잔동
10 
Other values (21)
70 

Length

Max length5
Median length4
Mean length4.0763359
Min length3

Unique

Unique6 ?
Unique (%)4.6%

Sample

1st row구월1동
2nd row간석3동
3rd row만수2동
4th row간석3동
5th row논현1동

Common Values

ValueCountFrequency (%)
구월3동 16
12.2%
구월1동 15
 
11.5%
만수2동 10
 
7.6%
논현1동 10
 
7.6%
논현고잔동 10
 
7.6%
논현2동 9
 
6.9%
간석3동 7
 
5.3%
구월4동 6
 
4.6%
간석4동 5
 
3.8%
간석1동 5
 
3.8%
Other values (16) 38
29.0%

Length

2024-01-28T18:17:03.422787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
구월3동 16
12.2%
구월1동 15
 
11.5%
만수2동 10
 
7.6%
논현1동 10
 
7.6%
논현고잔동 10
 
7.6%
논현2동 9
 
6.9%
간석3동 7
 
5.3%
구월4동 6
 
4.6%
간석4동 5
 
3.8%
간석1동 5
 
3.8%
Other values (16) 38
29.0%

노선별
Text

Distinct130
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-01-28T18:17:03.663266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length26
Mean length10.045802
Min length5

Characters and Unicode

Total characters1316
Distinct characters88
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

Unique129 ?
Unique (%)98.5%

Sample

1st row인하로 507번길
2nd row백범로 297(용천로 176번길 90)
3rd row만수로 39
4th row간석동921-16
5th row아암대로 1605
ValueCountFrequency (%)
논현동 13
 
4.6%
만수동 10
 
3.6%
구월동 9
 
3.2%
남동대로 6
 
2.1%
호구포로 5
 
1.8%
백범로 4
 
1.4%
구월남로 4
 
1.4%
논고개로 4
 
1.4%
용천로 4
 
1.4%
인하로 4
 
1.4%
Other values (186) 218
77.6%
2024-01-28T18:17:03.995462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
150
 
11.4%
로 108
 
8.2%
1 98
 
7.4%
2 66
 
5.0%
동 60
 
4.6%
6 48
 
3.6%
7 48
 
3.6%
5 48
 
3.6%
9 41
 
3.1%
3 39
 
3.0%
Other values (78) 610
46.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 594
45.1%
Decimal Number 481
36.6%
Space Separator 150
 
11.4%
Dash Punctuation 35
 
2.7%
Open Punctuation 28
 
2.1%
Close Punctuation 28
 
2.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 108
18.2%
동 60
 
10.1%
구 29
 
4.9%
수 22
 
3.7%
남 21
 
3.5%
논 21
 
3.5%
월 20
 
3.4%
길 19
 
3.2%
번 19
 
3.2%
만 18
 
3.0%
Other values (64) 257
43.3%
Decimal Number
ValueCountFrequency (%)
1 98
20.4%
2 66
13.7%
6 48
10.0%
7 48
10.0%
5 48
10.0%
9 41
8.5%
3 39
 
8.1%
8 33
 
6.9%
0 32
 
6.7%
4 28
 
5.8%
Space Separator
ValueCountFrequency (%)
150
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 35
100.0%
Open Punctuation
ValueCountFrequency (%)
( 28
100.0%
Close Punctuation
ValueCountFrequency (%)
) 28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 722
54.9%
Hangul 594
45.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 108
18.2%
동 60
 
10.1%
구 29
 
4.9%
수 22
 
3.7%
남 21
 
3.5%
논 21
 
3.5%
월 20
 
3.4%
길 19
 
3.2%
번 19
 
3.2%
만 18
 
3.0%
Other values (64) 257
43.3%
Common
ValueCountFrequency (%)
150
20.8%
1 98
13.6%
2 66
9.1%
6 48
 
6.6%
7 48
 
6.6%
5 48
 
6.6%
9 41
 
5.7%
3 39
 
5.4%
- 35
 
4.8%
8 33
 
4.6%
Other values (4) 116
16.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 722
54.9%
Hangul 594
45.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
150
20.8%
1 98
13.6%
2 66
9.1%
6 48
 
6.6%
7 48
 
6.6%
5 48
 
6.6%
9 41
 
5.7%
3 39
 
5.4%
- 35
 
4.8%
8 33
 
4.6%
Other values (4) 116
16.1%
Hangul
ValueCountFrequency (%)
로 108
18.2%
동 60
 
10.1%
구 29
 
4.9%
수 22
 
3.7%
남 21
 
3.5%
논 21
 
3.5%
월 20
 
3.4%
길 19
 
3.2%
번 19
 
3.2%
만 18
 
3.0%
Other values (64) 257
43.3%

설치장소
Text

UNIQUE 

Distinct131
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-01-28T18:17:04.197337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length21
Mean length11.51145
Min length4

Characters and Unicode

Total characters1508
Distinct characters247
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique131 ?
Unique (%)100.0%

Sample

1st row우리은행 앞
2nd rowLH아파트 1단지 101동 코너
3rd row만수시장 앞
4th row이의원 코너
5th row소래역사관 맞은편
ValueCountFrequency (%)
앞 29
 
9.5%
삼거리 20
 
6.5%
건너편 9
 
2.9%
정문 8
 
2.6%
맞은편 8
 
2.6%
코너 7
 
2.3%
사거리 4
 
1.3%
근처 4
 
1.3%
모래내시장 3
 
1.0%
도로 2
 
0.7%
Other values (198) 212
69.3%
2024-01-28T18:17:04.511149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
175
 
11.6%
리 46
 
3.1%
교 38
 
2.5%
학 34
 
2.3%
거 34
 
2.3%
앞 31
 
2.1%
초 31
 
2.1%
등 29
 
1.9%
스 25
 
1.7%
) 23
 
1.5%
Other values (237) 1042
69.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1219
80.8%
Space Separator 175
 
11.6%
Decimal Number 44
 
2.9%
Close Punctuation 23
 
1.5%
Open Punctuation 23
 
1.5%
Uppercase Letter 19
 
1.3%
Other Punctuation 4
 
0.3%
Lowercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 46
 
3.8%
교 38
 
3.1%
학 34
 
2.8%
거 34
 
2.8%
앞 31
 
2.5%
초 31
 
2.5%
등 29
 
2.4%
스 25
 
2.1%
삼 22
 
1.8%
트 21
 
1.7%
Other values (209) 908
74.5%
Uppercase Letter
ValueCountFrequency (%)
C 4
21.1%
K 2
10.5%
U 2
10.5%
S 2
10.5%
A 1
 
5.3%
G 1
 
5.3%
D 1
 
5.3%
I 1
 
5.3%
T 1
 
5.3%
R 1
 
5.3%
Other values (3) 3
15.8%
Decimal Number
ValueCountFrequency (%)
1 13
29.5%
2 11
25.0%
3 5
 
11.4%
5 4
 
9.1%
4 4
 
9.1%
0 3
 
6.8%
9 2
 
4.5%
6 1
 
2.3%
8 1
 
2.3%
Other Punctuation
ValueCountFrequency (%)
, 2
50.0%
& 2
50.0%
Space Separator
ValueCountFrequency (%)
175
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1219
80.8%
Common 269
 
17.8%
Latin 20
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 46
 
3.8%
교 38
 
3.1%
학 34
 
2.8%
거 34
 
2.8%
앞 31
 
2.5%
초 31
 
2.5%
등 29
 
2.4%
스 25
 
2.1%
삼 22
 
1.8%
트 21
 
1.7%
Other values (209) 908
74.5%
Common
ValueCountFrequency (%)
175
65.1%
) 23
 
8.6%
( 23
 
8.6%
1 13
 
4.8%
2 11
 
4.1%
3 5
 
1.9%
5 4
 
1.5%
4 4
 
1.5%
0 3
 
1.1%
, 2
 
0.7%
Other values (4) 6
 
2.2%
Latin
ValueCountFrequency (%)
C 4
20.0%
K 2
10.0%
U 2
10.0%
S 2
10.0%
A 1
 
5.0%
G 1
 
5.0%
D 1
 
5.0%
I 1
 
5.0%
T 1
 
5.0%
R 1
 
5.0%
Other values (4) 4
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1219
80.8%
ASCII 289
 
19.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
175
60.6%
) 23
 
8.0%
( 23
 
8.0%
1 13
 
4.5%
2 11
 
3.8%
3 5
 
1.7%
C 4
 
1.4%
5 4
 
1.4%
4 4
 
1.4%
0 3
 
1.0%
Other values (18) 24
 
8.3%
Hangul
ValueCountFrequency (%)
리 46
 
3.8%
교 38
 
3.1%
학 34
 
2.8%
거 34
 
2.8%
앞 31
 
2.5%
초 31
 
2.5%
등 29
 
2.4%
스 25
 
2.1%
삼 22
 
1.8%
트 21
 
1.7%
Other values (209) 908
74.5%

Interactions

2024-01-28T18:17:02.889604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T18:17:04.583472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번설치동
연번1.0000.755
설치동0.7551.000
2024-01-28T18:17:04.650262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번설치동
연번1.0000.351
설치동0.3511.000

Missing values

2024-01-28T18:17:02.981756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T18:17:03.050081image/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

연번설치동노선별설치장소
01구월1동인하로 507번길우리은행 앞
12간석3동백범로 297(용천로 176번길 90)LH아파트 1단지 101동 코너
23만수2동만수로 39만수시장 앞
34간석3동간석동921-16이의원 코너
45논현1동아암대로 1605소래역사관 맞은편
56만수6동장승로 28남동농협본점 코너
67만수6동장승남로 62GS25남동프라자점
78만수5동구월로 307인천여성인력개발센터 맞은편
89만수5동백범로 212만수5동소방파출소 맞은편
910간석4동경원대로 978번길(간석동617-113)스타벅스간석점 안쪽
연번설치동노선별설치장소
121122논현1동논현동 693장도초등학교 정문 삼거리
122123논현1동논현동 685논현중 삼거리 (장도초등학교2)
123124논현1동논현동 695논현119안전센터 건너편 (논현초등학교)
124125논현2동논현동 697-2논현배터리 삼거리 (은봉초등학교)
125126논현2동논현동 576논현주공2단지 201동 앞 (논곡초등학교)
126127논현2동논현동 702동방초등학교 정문 건너편
127128논현2동논현동 710-2꿈에그린 삼거리 (한누리학교)
128129논현고잔동논현동 793고잔중 원동초 사이 (원동초등학교)
129130논현고잔동논현동 780송천초등학교 정문 건너편
130131논현고잔동논현동 799고잔고 삼거리 (사리울초등학교)