Overview

Dataset statistics

Number of variables3
Number of observations45
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 KiB
Average record size in memory26.9 B

Variable types

Text1
Categorical2

Dataset

Description경기도 이천시 도시계획정보시스템상 공동개발지정현황에 대한 현황도형 관리번호, 라벨명, 현황도형생성일 정보를 제공합니다.
URLhttps://www.data.go.kr/data/15118537/fileData.do

Alerts

라벨명 has constant value ""Constant
현황도형 관리번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 23:36:13.383131
Analysis finished2023-12-12 23:36:13.604294
Duration0.22 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

현황도형 관리번호
Text

UNIQUE 

Distinct45
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size492.0 B
2023-12-13T08:36:13.743861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length24
Mean length24
Min length24

Characters and Unicode

Total characters1080
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique45 ?
Unique (%)100.0%

Sample

1st row41500UQ167DS202212230001
2nd row41500UQ167DS202212230002
3rd row41500UQ167DS202212230003
4th row41500UQ167DS202212230004
5th row41500UQ167DS202212230005
ValueCountFrequency (%)
41500uq167ds202212230001 1
 
2.2%
41500uq167ds202301300005 1
 
2.2%
41500uq167ds202301300007 1
 
2.2%
41500uq167ds202301300008 1
 
2.2%
41500uq167ds202301300009 1
 
2.2%
41500uq167ds202302280001 1
 
2.2%
41500uq167ds202302280002 1
 
2.2%
41500uq167ds202302280003 1
 
2.2%
41500uq167ds202302280004 1
 
2.2%
41500uq167ds202302280005 1
 
2.2%
Other values (35) 35
77.8%
2023-12-13T08:36:14.079296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 305
28.2%
2 169
15.6%
1 132
12.2%
3 77
 
7.1%
5 51
 
4.7%
4 50
 
4.6%
6 50
 
4.6%
7 50
 
4.6%
U 45
 
4.2%
Q 45
 
4.2%
Other values (4) 106
 
9.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 900
83.3%
Uppercase Letter 180
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 305
33.9%
2 169
18.8%
1 132
14.7%
3 77
 
8.6%
5 51
 
5.7%
4 50
 
5.6%
6 50
 
5.6%
7 50
 
5.6%
8 13
 
1.4%
9 3
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
U 45
25.0%
Q 45
25.0%
D 45
25.0%
S 45
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 900
83.3%
Latin 180
 
16.7%

Most frequent character per script

Common
ValueCountFrequency (%)
0 305
33.9%
2 169
18.8%
1 132
14.7%
3 77
 
8.6%
5 51
 
5.7%
4 50
 
5.6%
6 50
 
5.6%
7 50
 
5.6%
8 13
 
1.4%
9 3
 
0.3%
Latin
ValueCountFrequency (%)
U 45
25.0%
Q 45
25.0%
D 45
25.0%
S 45
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1080
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 305
28.2%
2 169
15.6%
1 132
12.2%
3 77
 
7.1%
5 51
 
4.7%
4 50
 
4.6%
6 50
 
4.6%
7 50
 
4.6%
U 45
 
4.2%
Q 45
 
4.2%
Other values (4) 106
 
9.8%

라벨명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size492.0 B
공동개발(지정)
45 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row공동개발(지정)
2nd row공동개발(지정)
3rd row공동개발(지정)
4th row공동개발(지정)
5th row공동개발(지정)

Common Values

ValueCountFrequency (%)
공동개발(지정) 45
100.0%

Length

2023-12-13T08:36:14.203473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:36:14.296525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공동개발(지정 45
100.0%

현황도형 생성일
Categorical

Distinct4
Distinct (%)8.9%
Missing0
Missing (%)0.0%
Memory size492.0 B
2022-12-30
19 
2023-01-30
9 
2023-03-30
9 
2023-02-28
8 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-12-30
2nd row2022-12-30
3rd row2022-12-30
4th row2022-12-30
5th row2022-12-30

Common Values

ValueCountFrequency (%)
2022-12-30 19
42.2%
2023-01-30 9
20.0%
2023-03-30 9
20.0%
2023-02-28 8
17.8%

Length

2023-12-13T08:36:14.431063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:36:14.555211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-12-30 19
42.2%
2023-01-30 9
20.0%
2023-03-30 9
20.0%
2023-02-28 8
17.8%

Correlations

2023-12-13T08:36:14.649117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
현황도형 관리번호현황도형 생성일
현황도형 관리번호1.0001.000
현황도형 생성일1.0001.000

Missing values

2023-12-13T08:36:13.484178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T08:36:13.568111image/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

현황도형 관리번호라벨명현황도형 생성일
041500UQ167DS202212230001공동개발(지정)2022-12-30
141500UQ167DS202212230002공동개발(지정)2022-12-30
241500UQ167DS202212230003공동개발(지정)2022-12-30
341500UQ167DS202212230004공동개발(지정)2022-12-30
441500UQ167DS202212230005공동개발(지정)2022-12-30
541500UQ167DS202212230006공동개발(지정)2022-12-30
641500UQ167DS202212230007공동개발(지정)2022-12-30
741500UQ167DS202212230008공동개발(지정)2022-12-30
841500UQ167DS202212230009공동개발(지정)2022-12-30
941500UQ167DS202212230010공동개발(지정)2022-12-30
현황도형 관리번호라벨명현황도형 생성일
3541500UQ167DS202302280008공동개발(지정)2023-02-28
3641500UQ167DS202303300001공동개발(지정)2023-03-30
3741500UQ167DS202303300002공동개발(지정)2023-03-30
3841500UQ167DS202303300003공동개발(지정)2023-03-30
3941500UQ167DS202303300004공동개발(지정)2023-03-30
4041500UQ167DS202303300005공동개발(지정)2023-03-30
4141500UQ167DS202303300006공동개발(지정)2023-03-30
4241500UQ167DS202303300007공동개발(지정)2023-03-30
4341500UQ167DS202303300008공동개발(지정)2023-03-30
4441500UQ167DS202303300009공동개발(지정)2023-03-30