Overview

Dataset statistics

Number of variables4
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory400.4 KiB
Average record size in memory41.0 B

Variable types

Numeric1
DateTime1
Text1
Categorical1

Dataset

Description광주광역시 서구의 2021년도 불법주정차단속에 대한 신청일자, 단속요청주소, 접수경로 등에 대한 현황정보 입니다.
Author광주광역시 서구
URLhttps://www.data.go.kr/data/15104680/fileData.do

Alerts

접수경로 has constant value ""Constant
연번 has unique valuesUnique

Reproduction

Analysis started2024-04-17 09:44:07.843966
Analysis finished2024-04-17 09:44:08.185889
Duration0.34 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13164.731
Minimum5
Maximum26326
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-17T18:44:08.258945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile1264.95
Q16582.25
median13236
Q319723.25
95-th percentile25026.05
Maximum26326
Range26321
Interquartile range (IQR)13141

Descriptive statistics

Standard deviation7599.8302
Coefficient of variation (CV)0.57728718
Kurtosis-1.1952835
Mean13164.731
Median Absolute Deviation (MAD)6583.5
Skewness-0.0017759272
Sum1.3164731 × 108
Variance57757420
MonotonicityNot monotonic
2024-04-17T18:44:08.380475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18964 1
 
< 0.1%
8292 1
 
< 0.1%
23783 1
 
< 0.1%
6435 1
 
< 0.1%
26227 1
 
< 0.1%
288 1
 
< 0.1%
22863 1
 
< 0.1%
24067 1
 
< 0.1%
11398 1
 
< 0.1%
1714 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
5 1
< 0.1%
7 1
< 0.1%
12 1
< 0.1%
15 1
< 0.1%
18 1
< 0.1%
24 1
< 0.1%
28 1
< 0.1%
29 1
< 0.1%
30 1
< 0.1%
31 1
< 0.1%
ValueCountFrequency (%)
26326 1
< 0.1%
26325 1
< 0.1%
26321 1
< 0.1%
26316 1
< 0.1%
26310 1
< 0.1%
26309 1
< 0.1%
26306 1
< 0.1%
26304 1
< 0.1%
26301 1
< 0.1%
26298 1
< 0.1%

신청일자
Date

Distinct365
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2021-01-01 00:00:00
Maximum2021-12-31 00:00:00
2024-04-17T18:44:08.487989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T18:44:08.602122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

단속요청주소
Text

Distinct1929
Distinct (%)19.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-17T18:44:08.914117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length20
Mean length17.3289
Min length14

Characters and Unicode

Total characters173289
Distinct characters53
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

Unique1036 ?
Unique (%)10.4%

Sample

1st row광주광역시 서구 풍암동 929
2nd row광주광역시 서구 벽진동 515-30
3rd row광주광역시 서구 치평동 1242
4th row광주광역시 서구 농성동 671-2
5th row광주광역시 서구 쌍촌동 1292-11
ValueCountFrequency (%)
광주광역시 10000
25.0%
서구 10000
25.0%
치평동 3434
 
8.6%
쌍촌동 1772
 
4.4%
화정동 1098
 
2.7%
풍암동 886
 
2.2%
금호동 740
 
1.8%
1232 621
 
1.6%
동천동 591
 
1.5%
농성동 491
 
1.2%
Other values (1829) 10412
26.0%
2024-04-17T18:44:09.364798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
30045
17.3%
광 20181
11.6%
동 10590
 
6.1%
1 10386
 
6.0%
서 10001
 
5.8%
구 10001
 
5.8%
역 10000
 
5.8%
시 10000
 
5.8%
주 10000
 
5.8%
2 6833
 
3.9%
Other values (43) 45252
26.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 99827
57.6%
Decimal Number 39778
 
23.0%
Space Separator 30045
 
17.3%
Dash Punctuation 3639
 
2.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 20181
20.2%
동 10590
10.6%
서 10001
10.0%
구 10001
10.0%
역 10000
10.0%
시 10000
10.0%
주 10000
10.0%
치 3434
 
3.4%
평 3434
 
3.4%
촌 1919
 
1.9%
Other values (31) 10267
10.3%
Decimal Number
ValueCountFrequency (%)
1 10386
26.1%
2 6833
17.2%
3 4530
11.4%
7 3226
 
8.1%
6 2904
 
7.3%
5 2696
 
6.8%
0 2589
 
6.5%
4 2404
 
6.0%
9 2293
 
5.8%
8 1917
 
4.8%
Space Separator
ValueCountFrequency (%)
30045
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3639
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 99827
57.6%
Common 73462
42.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 20181
20.2%
동 10590
10.6%
서 10001
10.0%
구 10001
10.0%
역 10000
10.0%
시 10000
10.0%
주 10000
10.0%
치 3434
 
3.4%
평 3434
 
3.4%
촌 1919
 
1.9%
Other values (31) 10267
10.3%
Common
ValueCountFrequency (%)
30045
40.9%
1 10386
 
14.1%
2 6833
 
9.3%
3 4530
 
6.2%
- 3639
 
5.0%
7 3226
 
4.4%
6 2904
 
4.0%
5 2696
 
3.7%
0 2589
 
3.5%
4 2404
 
3.3%
Other values (2) 4210
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 99827
57.6%
ASCII 73462
42.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
30045
40.9%
1 10386
 
14.1%
2 6833
 
9.3%
3 4530
 
6.2%
- 3639
 
5.0%
7 3226
 
4.4%
6 2904
 
4.0%
5 2696
 
3.7%
0 2589
 
3.5%
4 2404
 
3.3%
Other values (2) 4210
 
5.7%
Hangul
ValueCountFrequency (%)
광 20181
20.2%
동 10590
10.6%
서 10001
10.0%
구 10001
10.0%
역 10000
10.0%
시 10000
10.0%
주 10000
10.0%
치 3434
 
3.4%
평 3434
 
3.4%
촌 1919
 
1.9%
Other values (31) 10267
10.3%

접수경로
Categorical

CONSTANT 

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

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
안전신문고 10000
100.0%

Length

2024-04-17T18:44:09.494021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T18:44:09.566346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
안전신문고 10000
100.0%

Interactions

2024-04-17T18:44:07.966990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2024-04-17T18:44:08.078812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-17T18:44:08.145854image/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

연번신청일자단속요청주소접수경로
18963189642021-10-07광주광역시 서구 풍암동 929안전신문고
10584105852021-06-14광주광역시 서구 벽진동 515-30안전신문고
235023512021-02-18광주광역시 서구 치평동 1242안전신문고
15719157202021-08-25광주광역시 서구 농성동 671-2안전신문고
676467652021-04-20광주광역시 서구 쌍촌동 1292-11안전신문고
25124251252021-12-15광주광역시 서구 동천동 652안전신문고
15372153732021-08-20광주광역시 서구 치평동 1167-1안전신문고
980098012021-06-03광주광역시 서구 동천동 651안전신문고
485048512021-03-28광주광역시 서구 풍암동 1069안전신문고
11370113712021-06-25광주광역시 서구 치평동 1167-1안전신문고
연번신청일자단속요청주소접수경로
12701127022021-07-13광주광역시 서구 쌍촌동 997-17안전신문고
187718782021-02-09광주광역시 서구 치평동 1212안전신문고
914791482021-05-25광주광역시 서구 동천동 651안전신문고
15019150202021-08-15광주광역시 서구 동천동 294안전신문고
475047512021-03-26광주광역시 서구 쌍촌동 1234-1안전신문고
135113522021-01-30광주광역시 서구 치평동 1179안전신문고
23098230992021-11-23광주광역시 서구 쌍촌동 1334-10안전신문고
23984239852021-12-02광주광역시 서구 화정동 23-195안전신문고
875887592021-05-19광주광역시 서구 쌍촌동 251-3안전신문고
15501155022021-08-22광주광역시 서구 쌍촌동 1134안전신문고