Overview

Dataset statistics

Number of variables3
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows175
Duplicate rows (%)1.8%
Total size in memory312.5 KiB
Average record size in memory32.0 B

Variable types

Categorical1
DateTime1
Text1

Dataset

Description2023년_부산광역시_금정구_불법주정차단속_현황(단속일시,단속장소,단속시간포함)을제공합니다.
Author부산광역시 금정구
URLhttps://www.data.go.kr/data/15127369/fileData.do

Alerts

부서명 has constant value ""Constant
Dataset has 175 (1.8%) duplicate rowsDuplicates

Reproduction

Analysis started2024-04-17 22:34:25.765747
Analysis finished2024-04-17 22:34:26.651242
Duration0.89 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

부서명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
교통행정과
10000 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
교통행정과 10000
100.0%

Length

2024-04-18T07:34:26.708054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:34:26.792189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
교통행정과 10000
100.0%

단속일시
Date

Distinct9575
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2023-01-01 07:43:00
Maximum2023-12-31 21:02:00
2024-04-18T07:34:26.889127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T07:34:27.029198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

단속장소
Text

Distinct754
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-18T07:34:27.279780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length9.0275
Min length5

Characters and Unicode

Total characters90275
Distinct characters174
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

Unique363 ?
Unique (%)3.6%

Sample

1st row농협 남산지점 보강
2nd row남산동 1002-1
3rd row금정등기소앞
4th row구서동 475
5th row맥도날드앞
ValueCountFrequency (%)
구서동 1148
 
6.0%
장전동 1118
 
5.8%
서동 1085
 
5.6%
남산동 842
 
4.4%
보강 826
 
4.3%
부곡동 736
 
3.8%
금사동 493
 
2.6%
사거리 482
 
2.5%
세웅병원 472
 
2.4%
농협 460
 
2.4%
Other values (726) 11622
60.3%
2024-04-18T07:34:27.654272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9284
 
10.3%
동 7004
 
7.8%
로 3822
 
4.2%
서 3019
 
3.3%
산 2783
 
3.1%
부 2572
 
2.8%
번 2220
 
2.5%
1 2219
 
2.5%
금 2203
 
2.4%
사 2098
 
2.3%
Other values (164) 53051
58.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 68695
76.1%
Decimal Number 11089
 
12.3%
Space Separator 9284
 
10.3%
Dash Punctuation 732
 
0.8%
Uppercase Letter 458
 
0.5%
Other Punctuation 17
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 7004
 
10.2%
로 3822
 
5.6%
서 3019
 
4.4%
산 2783
 
4.1%
부 2572
 
3.7%
번 2220
 
3.2%
금 2203
 
3.2%
사 2098
 
3.1%
구 2055
 
3.0%
대 1946
 
2.8%
Other values (148) 38973
56.7%
Decimal Number
ValueCountFrequency (%)
1 2219
20.0%
6 1391
12.5%
2 1225
11.0%
4 1144
10.3%
7 1138
10.3%
3 965
8.7%
9 886
 
8.0%
5 832
 
7.5%
0 712
 
6.4%
8 577
 
5.2%
Uppercase Letter
ValueCountFrequency (%)
S 229
50.0%
K 137
29.9%
G 92
20.1%
Space Separator
ValueCountFrequency (%)
9284
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 732
100.0%
Other Punctuation
ValueCountFrequency (%)
, 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 68695
76.1%
Common 21122
 
23.4%
Latin 458
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 7004
 
10.2%
로 3822
 
5.6%
서 3019
 
4.4%
산 2783
 
4.1%
부 2572
 
3.7%
번 2220
 
3.2%
금 2203
 
3.2%
사 2098
 
3.1%
구 2055
 
3.0%
대 1946
 
2.8%
Other values (148) 38973
56.7%
Common
ValueCountFrequency (%)
9284
44.0%
1 2219
 
10.5%
6 1391
 
6.6%
2 1225
 
5.8%
4 1144
 
5.4%
7 1138
 
5.4%
3 965
 
4.6%
9 886
 
4.2%
5 832
 
3.9%
- 732
 
3.5%
Other values (3) 1306
 
6.2%
Latin
ValueCountFrequency (%)
S 229
50.0%
K 137
29.9%
G 92
20.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 68695
76.1%
ASCII 21580
 
23.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9284
43.0%
1 2219
 
10.3%
6 1391
 
6.4%
2 1225
 
5.7%
4 1144
 
5.3%
7 1138
 
5.3%
3 965
 
4.5%
9 886
 
4.1%
5 832
 
3.9%
- 732
 
3.4%
Other values (6) 1764
 
8.2%
Hangul
ValueCountFrequency (%)
동 7004
 
10.2%
로 3822
 
5.6%
서 3019
 
4.4%
산 2783
 
4.1%
부 2572
 
3.7%
번 2220
 
3.2%
금 2203
 
3.2%
사 2098
 
3.1%
구 2055
 
3.0%
대 1946
 
2.8%
Other values (148) 38973
56.7%

Missing values

2024-04-18T07:34:26.613934image/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

부서명단속일시단속장소
11017교통행정과2023-03-04 18:04:00농협 남산지점 보강
48120교통행정과2023-10-30 20:58:00남산동 1002-1
55115교통행정과2023-12-16 11:41:00금정등기소앞
49527교통행정과2023-11-08 14:50:00구서동 475
45850교통행정과2023-10-15 08:22:00맥도날드앞
27168교통행정과2023-06-09 10:58:00부곡동 동부곡로5번길
23876교통행정과2023-05-18 10:49:00부산대1번출구사각지대
12838교통행정과2023-03-14 15:09:00맥도날드앞
31682교통행정과2023-07-07 21:43:00서동 세웅병원 보강
12705교통행정과2023-03-13 14:45:00구서동 금정로207번길
부서명단속일시단속장소
35411교통행정과2023-07-31 10:24:00청룡동 남산냇길
10105교통행정과2023-02-27 14:39:00구서동 금정로231번길
12027교통행정과2023-03-09 16:51:00부곡동 동부곡로5번길
9894교통행정과2023-02-26 18:45:00금정등기소앞
35077교통행정과2023-07-29 08:57:00부곡교 삼거리
33492교통행정과2023-07-19 07:54:00구서동 배비장보쌈
31133교통행정과2023-07-03 18:15:00부곡동 69
5281교통행정과2023-02-02 08:06:00구서동 구서중앙로15번길
18257교통행정과2023-04-12 13:59:00장전동 269-3
36763교통행정과2023-08-08 19:19:00구서동 51-9

Duplicate rows

Most frequently occurring

부서명단속일시단속장소# duplicates
1교통행정과2023-01-03 16:42:00남산동 남산로3
7교통행정과2023-01-18 20:45:00장전동 식물원로75번길3
27교통행정과2023-02-22 14:59:00금사동 금사로3
57교통행정과2023-04-20 15:27:00구서동 중앙대로1944번길3
92교통행정과2023-06-29 10:30:00금사동 금사로3
111교통행정과2023-08-04 20:37:00서동 서동로176번길3
116교통행정과2023-08-18 15:02:00금사동 금사로3
129교통행정과2023-09-20 14:22:00부곡동 중앙대로1793번길3
130교통행정과2023-09-22 21:06:00구서동 수림로72번길3
143교통행정과2023-10-25 18:47:00부곡동 3983