Overview

Dataset statistics

Number of variables3
Number of observations242
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.0 KiB
Average record size in memory25.5 B

Variable types

Numeric1
Categorical1
Text1

Dataset

Description전북특별자치도 김제시의 무인단속카메라 위치 정보입니다.순번, 김제시 무인단속카메라의 종류, 무인단속카메라의 설치장소를 포함하고 있습니다.
Author전북특별자치도 김제시
URLhttps://www.data.go.kr/data/15040442/fileData.do

Alerts

순번 is highly overall correlated with 종류High correlation
종류 is highly overall correlated with 순번High correlation
순번 has unique valuesUnique
설치장소 has unique valuesUnique

Reproduction

Analysis started2024-03-23 04:24:33.754559
Analysis finished2024-03-23 04:24:35.001520
Duration1.25 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct242
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean121.5
Minimum1
Maximum242
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-03-23T04:24:35.330457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile13.05
Q161.25
median121.5
Q3181.75
95-th percentile229.95
Maximum242
Range241
Interquartile range (IQR)120.5

Descriptive statistics

Standard deviation70.003571
Coefficient of variation (CV)0.57616108
Kurtosis-1.2
Mean121.5
Median Absolute Deviation (MAD)60.5
Skewness0
Sum29403
Variance4900.5
MonotonicityStrictly increasing
2024-03-23T04:24:35.937787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
183 1
 
0.4%
155 1
 
0.4%
156 1
 
0.4%
157 1
 
0.4%
158 1
 
0.4%
159 1
 
0.4%
160 1
 
0.4%
161 1
 
0.4%
162 1
 
0.4%
Other values (232) 232
95.9%
ValueCountFrequency (%)
1 1
0.4%
2 1
0.4%
3 1
0.4%
4 1
0.4%
5 1
0.4%
6 1
0.4%
7 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
ValueCountFrequency (%)
242 1
0.4%
241 1
0.4%
240 1
0.4%
239 1
0.4%
238 1
0.4%
237 1
0.4%
236 1
0.4%
235 1
0.4%
234 1
0.4%
233 1
0.4%

종류
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
과속단속
139 
신호/속도
51 
주차단속
42 
신호위반
 
5
구간단속
 
5

Length

Max length5
Median length4
Mean length4.2107438
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
과속단속 139
57.4%
신호/속도 51
 
21.1%
주차단속 42
 
17.4%
신호위반 5
 
2.1%
구간단속 5
 
2.1%

Length

2024-03-23T04:24:36.538937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T04:24:36.938486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
과속단속 139
57.4%
신호/속도 51
 
21.1%
주차단속 42
 
17.4%
신호위반 5
 
2.1%
구간단속 5
 
2.1%

설치장소
Text

UNIQUE 

Distinct242
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2024-03-23T04:24:37.752077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length42.5
Mean length34
Min length4

Characters and Unicode

Total characters8228
Distinct characters255
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique242 ?
Unique (%)100.0%

Sample

1st row김제시 풍요로(검산동)과선교 4거리(금구IC→체육공원4거리)
2nd row김제시 벽성로(검산동)문화체육공원4거리(검산동→부안)
3rd row김제시 벽지산로 (신풍동)성산그린빌@앞(김제역→김제중앙병원)
4th row김제시 금구면 선비로(대화리) 금천복지관 앞(김제→전주)
5th row김제시 죽산면 월죽로(서포리) 소제교차로(김제→부안)
ValueCountFrequency (%)
김제시 210
 
16.5%
앞 96
 
7.6%
백구면 20
 
1.6%
진봉면 16
 
1.3%
금구면 14
 
1.1%
용지면 13
 
1.0%
금산면 12
 
0.9%
만경읍 11
 
0.9%
백산면 10
 
0.8%
황산면 9
 
0.7%
Other values (603) 859
67.6%
2024-03-23T04:24:39.322926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1033
 
12.6%
( 413
 
5.0%
) 413
 
5.0%
제 344
 
4.2%
김 319
 
3.9%
로 247
 
3.0%
리 222
 
2.7%
시 221
 
2.7%
산 208
 
2.5%
→ 191
 
2.3%
Other values (245) 4617
56.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5161
62.7%
Space Separator 1033
 
12.6%
Decimal Number 802
 
9.7%
Open Punctuation 413
 
5.0%
Close Punctuation 413
 
5.0%
Math Symbol 207
 
2.5%
Dash Punctuation 159
 
1.9%
Uppercase Letter 32
 
0.4%
Other Punctuation 8
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 344
 
6.7%
김 319
 
6.2%
로 247
 
4.8%
리 222
 
4.3%
시 221
 
4.3%
산 208
 
4.0%
앞 152
 
2.9%
교 140
 
2.7%
면 131
 
2.5%
동 105
 
2.0%
Other values (218) 3072
59.5%
Decimal Number
ValueCountFrequency (%)
1 152
19.0%
3 103
12.8%
2 103
12.8%
4 88
11.0%
5 88
11.0%
6 86
10.7%
8 47
 
5.9%
7 45
 
5.6%
0 45
 
5.6%
9 45
 
5.6%
Uppercase Letter
ValueCountFrequency (%)
C 14
43.8%
I 11
34.4%
N 1
 
3.1%
G 1
 
3.1%
K 1
 
3.1%
B 1
 
3.1%
Q 1
 
3.1%
A 1
 
3.1%
M 1
 
3.1%
Math Symbol
ValueCountFrequency (%)
→ 191
92.3%
↔ 10
 
4.8%
~ 6
 
2.9%
Space Separator
ValueCountFrequency (%)
1033
100.0%
Open Punctuation
ValueCountFrequency (%)
( 413
100.0%
Close Punctuation
ValueCountFrequency (%)
) 413
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 159
100.0%
Other Punctuation
ValueCountFrequency (%)
@ 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5161
62.7%
Common 3035
36.9%
Latin 32
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 344
 
6.7%
김 319
 
6.2%
로 247
 
4.8%
리 222
 
4.3%
시 221
 
4.3%
산 208
 
4.0%
앞 152
 
2.9%
교 140
 
2.7%
면 131
 
2.5%
동 105
 
2.0%
Other values (218) 3072
59.5%
Common
ValueCountFrequency (%)
1033
34.0%
( 413
 
13.6%
) 413
 
13.6%
→ 191
 
6.3%
- 159
 
5.2%
1 152
 
5.0%
3 103
 
3.4%
2 103
 
3.4%
4 88
 
2.9%
5 88
 
2.9%
Other values (8) 292
 
9.6%
Latin
ValueCountFrequency (%)
C 14
43.8%
I 11
34.4%
N 1
 
3.1%
G 1
 
3.1%
K 1
 
3.1%
B 1
 
3.1%
Q 1
 
3.1%
A 1
 
3.1%
M 1
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5161
62.7%
ASCII 2866
34.8%
Arrows 201
 
2.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1033
36.0%
( 413
 
14.4%
) 413
 
14.4%
- 159
 
5.5%
1 152
 
5.3%
3 103
 
3.6%
2 103
 
3.6%
4 88
 
3.1%
5 88
 
3.1%
6 86
 
3.0%
Other values (15) 228
 
8.0%
Hangul
ValueCountFrequency (%)
제 344
 
6.7%
김 319
 
6.2%
로 247
 
4.8%
리 222
 
4.3%
시 221
 
4.3%
산 208
 
4.0%
앞 152
 
2.9%
교 140
 
2.7%
면 131
 
2.5%
동 105
 
2.0%
Other values (218) 3072
59.5%
Arrows
ValueCountFrequency (%)
→ 191
95.0%
↔ 10
 
5.0%

Interactions

2024-03-23T04:24:34.247218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-23T04:24:39.720710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번종류
순번1.0000.962
종류0.9621.000
2024-03-23T04:24:40.072754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번종류
순번1.0000.722
종류0.7221.000

Missing values

2024-03-23T04:24:34.618257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-23T04:24:34.904785image/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

순번종류설치장소
01신호위반김제시 풍요로(검산동)과선교 4거리(금구IC→체육공원4거리)
12신호위반김제시 벽성로(검산동)문화체육공원4거리(검산동→부안)
23신호위반김제시 벽지산로 (신풍동)성산그린빌@앞(김제역→김제중앙병원)
34신호위반김제시 금구면 선비로(대화리) 금천복지관 앞(김제→전주)
45신호위반김제시 죽산면 월죽로(서포리) 소제교차로(김제→부안)
56과속단속김제시 하공로(서암동)덕암중학교 서흥교차로(익산→김제)
67과속단속김제시 금구면 봉두리(월전리)어전마을 앞(금구→전주)
78과속단속김제시 백구면 번영로(영상리)득자부락경로회관(전주→익산)
89과속단속김제시 백구면 번영로(영상리) 득자부락경로회관 앞(익산→전주)
910과속단속김제시 성덕면 해학로(남포리)월미교 앞(만경→죽산)
순번종류설치장소
232233주차단속동초등학교
233234주차단속백석초등학교
234235주차단속난산초등학교
235236주차단속공덕초등학교
236237주차단속금구초등학교
237238주차단속원평초등학교
238239주차단속길보어린이집
239240주차단속중앙유치원
240241주차단속해바라기유치원
241242주차단속서암어린이집