Overview

Dataset statistics

Number of variables12
Number of observations96
Missing cells1
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.2 KiB
Average record size in memory98.3 B

Variable types

Text3
Categorical9

Dataset

Description경기도 부천시의 공간정보 목록에 대한 데이터로 레이어명칭(한글/영문), 정보의 주요내용(레이어설명), 구축범위, 데이터 유형(벡터/레스터), 최초생성일, 갱신주기, 최종 갱신일자, 공개구분, 비용 층의 정보를 제공합니다.
Author공공데이터포털
URLhttps://www.data.go.kr/data/3038838/fileData.do

Alerts

구축범위 has constant value ""Constant
최초생성일 is highly overall correlated with 데이터유형(벡터) and 6 other fieldsHigh correlation
최종 갱신일자 is highly overall correlated with 데이터유형(벡터) and 6 other fieldsHigh correlation
갱신주기 is highly overall correlated with 데이터유형(벡터) and 6 other fieldsHigh correlation
공개구분 is highly overall correlated with 데이터유형(레스터) and 5 other fieldsHigh correlation
데이터유형(벡터) is highly overall correlated with 데이터유형(레스터) and 5 other fieldsHigh correlation
공개_비공개_공개제한 사유 is highly overall correlated with 데이터유형(벡터) and 6 other fieldsHigh correlation
데이터유형(레스터) is highly overall correlated with 데이터유형(벡터) and 6 other fieldsHigh correlation
비용 is highly overall correlated with 데이터유형(벡터) and 6 other fieldsHigh correlation
레이어명칭(영문) has 1 (1.0%) missing valuesMissing
레이어명칭(한글) has unique valuesUnique
정보의 주요내용(레이어설명) has unique valuesUnique

Reproduction

Analysis started2024-04-21 17:56:21.241232
Analysis finished2024-04-21 17:56:22.718804
Duration1.48 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

레이어명칭(한글)
Text

UNIQUE 

Distinct96
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size896.0 B
2024-04-22T02:56:23.613603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length6
Mean length4.3541667
Min length2

Characters and Unicode

Total characters418
Distinct characters129
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique96 ?
Unique (%)100.0%

Sample

1st row가드레일
2nd row가로등
3rd row가로수
4th row가로안내시설
5th row건물
ValueCountFrequency (%)
가드레일 1
 
1.0%
상수맨홀 1
 
1.0%
하수처리구역 1
 
1.0%
하수처리장 1
 
1.0%
우수토실 1
 
1.0%
지하수 1
 
1.0%
물받이 1
 
1.0%
하수토구 1
 
1.0%
유수지 1
 
1.0%
하수펌프장 1
 
1.0%
Other values (87) 87
89.7%
2024-04-22T02:56:24.841765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
수 26
 
6.2%
지 17
 
4.1%
로 16
 
3.8%
전 14
 
3.3%
구 12
 
2.9%
하 12
 
2.9%
가 11
 
2.6%
도 11
 
2.6%
관 10
 
2.4%
시 9
 
2.2%
Other values (119) 280
67.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 411
98.3%
Open Punctuation 2
 
0.5%
Close Punctuation 2
 
0.5%
Other Punctuation 2
 
0.5%
Space Separator 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
수 26
 
6.3%
지 17
 
4.1%
로 16
 
3.9%
전 14
 
3.4%
구 12
 
2.9%
하 12
 
2.9%
가 11
 
2.7%
도 11
 
2.7%
관 10
 
2.4%
시 9
 
2.2%
Other values (115) 273
66.4%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 411
98.3%
Common 7
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
수 26
 
6.3%
지 17
 
4.1%
로 16
 
3.9%
전 14
 
3.4%
구 12
 
2.9%
하 12
 
2.9%
가 11
 
2.7%
도 11
 
2.7%
관 10
 
2.4%
시 9
 
2.2%
Other values (115) 273
66.4%
Common
ValueCountFrequency (%)
( 2
28.6%
) 2
28.6%
/ 2
28.6%
1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 411
98.3%
ASCII 7
 
1.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
수 26
 
6.3%
지 17
 
4.1%
로 16
 
3.9%
전 14
 
3.4%
구 12
 
2.9%
하 12
 
2.9%
가 11
 
2.7%
도 11
 
2.7%
관 10
 
2.4%
시 9
 
2.2%
Other values (115) 273
66.4%
ASCII
ValueCountFrequency (%)
( 2
28.6%
) 2
28.6%
/ 2
28.6%
1
14.3%

레이어명칭(영문)
Text

MISSING 

Distinct49
Distinct (%)51.6%
Missing1
Missing (%)1.0%
Memory size896.0 B
2024-04-22T02:56:25.631287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length14
Mean length18.126316
Min length10

Characters and Unicode

Total characters1722
Distinct characters42
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

Unique48 ?
Unique (%)50.5%

Sample

1st row1:1000 수치지형도 CAD파일 (도엽단위)
2nd row1:1000 수치지형도 CAD파일 (도엽단위)
3rd row1:1000 수치지형도 CAD파일 (도엽단위)
4th row1:1000 수치지형도 CAD파일 (도엽단위)
5th row1:1000 수치지형도 CAD파일 (도엽단위)
ValueCountFrequency (%)
1:1000 47
19.9%
도엽단위 47
19.9%
수치지형도 47
19.9%
cad파일 47
19.9%
gsl_pres_p1 1
 
0.4%
swl_aodp_as 1
 
0.4%
gsl_box_p1 1
 
0.4%
swl_aodr_as 1
 
0.4%
rdl_cmdt_as 1
 
0.4%
ecl_pope1_l1 1
 
0.4%
Other values (42) 42
17.8%
2024-04-22T02:56:26.620001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 141
 
8.2%
141
 
8.2%
1 115
 
6.7%
_ 96
 
5.6%
도 94
 
5.5%
A 75
 
4.4%
L 70
 
4.1%
C 62
 
3.6%
P 59
 
3.4%
S 56
 
3.3%
Other values (32) 813
47.2%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 567
32.9%
Other Letter 517
30.0%
Decimal Number 260
15.1%
Space Separator 141
 
8.2%
Connector Punctuation 96
 
5.6%
Other Punctuation 47
 
2.7%
Close Punctuation 47
 
2.7%
Open Punctuation 47
 
2.7%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
A 75
13.2%
L 70
12.3%
C 62
10.9%
P 59
10.4%
S 56
9.9%
D 56
9.9%
W 29
 
5.1%
E 28
 
4.9%
T 24
 
4.2%
O 15
 
2.6%
Other values (14) 93
16.4%
Other Letter
ValueCountFrequency (%)
도 94
18.2%
단 47
9.1%
수 47
9.1%
위 47
9.1%
형 47
9.1%
지 47
9.1%
일 47
9.1%
파 47
9.1%
치 47
9.1%
엽 47
9.1%
Decimal Number
ValueCountFrequency (%)
0 141
54.2%
1 115
44.2%
2 4
 
1.5%
Space Separator
ValueCountFrequency (%)
141
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 96
100.0%
Other Punctuation
ValueCountFrequency (%)
: 47
100.0%
Close Punctuation
ValueCountFrequency (%)
) 47
100.0%
Open Punctuation
ValueCountFrequency (%)
( 47
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 638
37.0%
Latin 567
32.9%
Hangul 517
30.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
A 75
13.2%
L 70
12.3%
C 62
10.9%
P 59
10.4%
S 56
9.9%
D 56
9.9%
W 29
 
5.1%
E 28
 
4.9%
T 24
 
4.2%
O 15
 
2.6%
Other values (14) 93
16.4%
Hangul
ValueCountFrequency (%)
도 94
18.2%
단 47
9.1%
수 47
9.1%
위 47
9.1%
형 47
9.1%
지 47
9.1%
일 47
9.1%
파 47
9.1%
치 47
9.1%
엽 47
9.1%
Common
ValueCountFrequency (%)
0 141
22.1%
141
22.1%
1 115
18.0%
_ 96
15.0%
: 47
 
7.4%
) 47
 
7.4%
( 47
 
7.4%
2 4
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1205
70.0%
Hangul 517
30.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 141
11.7%
141
11.7%
1 115
 
9.5%
_ 96
 
8.0%
A 75
 
6.2%
L 70
 
5.8%
C 62
 
5.1%
P 59
 
4.9%
S 56
 
4.6%
D 56
 
4.6%
Other values (22) 334
27.7%
Hangul
ValueCountFrequency (%)
도 94
18.2%
단 47
9.1%
수 47
9.1%
위 47
9.1%
형 47
9.1%
지 47
9.1%
일 47
9.1%
파 47
9.1%
치 47
9.1%
엽 47
9.1%

정보의 주요내용(레이어설명)
Text

UNIQUE 

Distinct96
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size896.0 B
2024-04-22T02:56:27.499938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length17
Mean length14.739583
Min length4

Characters and Unicode

Total characters1415
Distinct characters132
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique96 ?
Unique (%)100.0%

Sample

1st row수치지형도1.0 - 가드레일
2nd row수치지형도1.0 - 가로등
3rd row수치지형도1.0 - 가로수
4th row수치지형도1.0 - 가로안내시설
5th row수치지형도1.0 - 건물
ValueCountFrequency (%)
95
33.1%
수치지형도1.0 47
16.4%
유관기관지하시설물 20
 
7.0%
상수도시설물 14
 
4.9%
하수도시설물 13
 
4.5%
하수관말 1
 
0.3%
하수처리장 1
 
0.3%
우수토실 1
 
0.3%
지하수 1
 
0.3%
물받이 1
 
0.3%
Other values (93) 93
32.4%
2024-04-22T02:56:28.626383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
191
 
13.5%
수 99
 
7.0%
- 95
 
6.7%
도 86
 
6.1%
지 84
 
5.9%
시 56
 
4.0%
설 56
 
4.0%
관 50
 
3.5%
물 50
 
3.5%
형 49
 
3.5%
Other values (122) 599
42.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 984
69.5%
Space Separator 191
 
13.5%
Dash Punctuation 95
 
6.7%
Decimal Number 94
 
6.6%
Other Punctuation 49
 
3.5%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
수 99
 
10.1%
도 86
 
8.7%
지 84
 
8.5%
시 56
 
5.7%
설 56
 
5.7%
관 50
 
5.1%
물 50
 
5.1%
형 49
 
5.0%
치 47
 
4.8%
하 45
 
4.6%
Other values (114) 362
36.8%
Decimal Number
ValueCountFrequency (%)
1 47
50.0%
0 47
50.0%
Other Punctuation
ValueCountFrequency (%)
. 47
95.9%
/ 2
 
4.1%
Space Separator
ValueCountFrequency (%)
191
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 95
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 984
69.5%
Common 431
30.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
수 99
 
10.1%
도 86
 
8.7%
지 84
 
8.5%
시 56
 
5.7%
설 56
 
5.7%
관 50
 
5.1%
물 50
 
5.1%
형 49
 
5.0%
치 47
 
4.8%
하 45
 
4.6%
Other values (114) 362
36.8%
Common
ValueCountFrequency (%)
191
44.3%
- 95
22.0%
1 47
 
10.9%
. 47
 
10.9%
0 47
 
10.9%
/ 2
 
0.5%
( 1
 
0.2%
) 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 984
69.5%
ASCII 431
30.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
191
44.3%
- 95
22.0%
1 47
 
10.9%
. 47
 
10.9%
0 47
 
10.9%
/ 2
 
0.5%
( 1
 
0.2%
) 1
 
0.2%
Hangul
ValueCountFrequency (%)
수 99
 
10.1%
도 86
 
8.7%
지 84
 
8.5%
시 56
 
5.7%
설 56
 
5.7%
관 50
 
5.1%
물 50
 
5.1%
형 49
 
5.0%
치 47
 
4.8%
하 45
 
4.6%
Other values (114) 362
36.8%

구축범위
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size896.0 B
시군구
96 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
시군구 96
100.0%

Length

2024-04-22T02:56:28.850228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T02:56:29.000988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
시군구 96
100.0%

데이터유형(벡터)
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size896.0 B
POINT
51 
POLYGON
26 
POLYLINE
18 
정사영상
 
1

Length

Max length8
Median length5
Mean length6.09375
Min length4

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st rowPOLYLINE
2nd rowPOINT
3rd rowPOINT
4th rowPOINT
5th rowPOLYGON

Common Values

ValueCountFrequency (%)
POINT 51
53.1%
POLYGON 26
27.1%
POLYLINE 18
 
18.8%
정사영상 1
 
1.0%

Length

2024-04-22T02:56:29.182040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T02:56:29.375340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
point 51
53.1%
polygon 26
27.1%
polyline 18
 
18.8%
정사영상 1
 
1.0%

데이터유형(레스터)
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size896.0 B
SHP
48 
CAD
47 
TIFF
 
1

Length

Max length4
Median length3
Mean length3.0104167
Min length3

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
SHP 48
50.0%
CAD 47
49.0%
TIFF 1
 
1.0%

Length

2024-04-22T02:56:29.565371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T02:56:29.734302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
shp 48
50.0%
cad 47
49.0%
tiff 1
 
1.0%

최초생성일
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Memory size896.0 B
2005
67 
2001
14 
2002
13 
2004
 
1
1989
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique2 ?
Unique (%)2.1%

Sample

1st row2005
2nd row2005
3rd row2005
4th row2005
5th row2005

Common Values

ValueCountFrequency (%)
2005 67
69.8%
2001 14
 
14.6%
2002 13
 
13.5%
2004 1
 
1.0%
1989 1
 
1.0%

Length

2024-04-22T02:56:29.907816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T02:56:30.082343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2005 67
69.8%
2001 14
 
14.6%
2002 13
 
13.5%
2004 1
 
1.0%
1989 1
 
1.0%

갱신주기
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size896.0 B
실시간
48 
5년
47 
비정규
 
1

Length

Max length3
Median length3
Mean length2.5104167
Min length2

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row5년
2nd row5년
3rd row5년
4th row5년
5th row5년

Common Values

ValueCountFrequency (%)
실시간 48
50.0%
5년 47
49.0%
비정규 1
 
1.0%

Length

2024-04-22T02:56:30.277227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T02:56:30.448397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
실시간 48
50.0%
5년 47
49.0%
비정규 1
 
1.0%

최종 갱신일자
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size896.0 B
<NA>
51 
2019-12-31
45 

Length

Max length10
Median length4
Mean length6.8125
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2019-12-31
2nd row2019-12-31
3rd row2019-12-31
4th row2019-12-31
5th row2019-12-31

Common Values

ValueCountFrequency (%)
<NA> 51
53.1%
2019-12-31 45
46.9%

Length

2024-04-22T02:56:30.633154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T02:56:30.803913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 51
53.1%
2019-12-31 45
46.9%

공개구분
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size896.0 B
공개제한데이터
51 
공개데이터
45 

Length

Max length7
Median length7
Mean length6.0625
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공개제한데이터 51
53.1%
공개데이터 45
46.9%

Length

2024-04-22T02:56:30.994401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T02:56:31.173301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공개제한데이터 51
53.1%
공개데이터 45
46.9%

비용
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size896.0 B
<NA>
51 
유료
45 

Length

Max length4
Median length4
Mean length3.0625
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 51
53.1%
유료 45
46.9%

Length

2024-04-22T02:56:31.366585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T02:56:31.547016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 51
53.1%
유료 45
46.9%

공개_비공개_공개제한 사유
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size896.0 B
부천시공간정보보안관리규정(지하시설물)
48 
부천시공간정보보안관리규정에 의거
47 
고해상도 항공사진(25cm미만급)
 
1

Length

Max length20
Median length19
Mean length18.510417
Min length17

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row부천시공간정보보안관리규정에 의거
2nd row부천시공간정보보안관리규정에 의거
3rd row부천시공간정보보안관리규정에 의거
4th row부천시공간정보보안관리규정에 의거
5th row부천시공간정보보안관리규정에 의거

Common Values

ValueCountFrequency (%)
부천시공간정보보안관리규정(지하시설물) 48
50.0%
부천시공간정보보안관리규정에 의거 47
49.0%
고해상도 항공사진(25cm미만급) 1
 
1.0%

Length

2024-04-22T02:56:31.734894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T02:56:31.910141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부천시공간정보보안관리규정(지하시설물 48
33.3%
부천시공간정보보안관리규정에 47
32.6%
의거 47
32.6%
고해상도 1
 
0.7%
항공사진(25cm미만급 1
 
0.7%

Correlations

2024-04-22T02:56:32.268884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
레이어명칭(한글)레이어명칭(영문)정보의 주요내용(레이어설명)데이터유형(벡터)데이터유형(레스터)최초생성일갱신주기공개구분공개_비공개_공개제한 사유
레이어명칭(한글)1.0001.0001.0001.0001.0001.0001.0001.0001.000
레이어명칭(영문)1.0001.0001.0000.0001.0001.0001.0000.9681.000
정보의 주요내용(레이어설명)1.0001.0001.0001.0001.0001.0001.0001.0001.000
데이터유형(벡터)1.0000.0001.0001.0000.7040.6500.7040.4960.704
데이터유형(레스터)1.0001.0001.0000.7041.0000.8081.0000.7181.000
최초생성일1.0001.0001.0000.6500.8081.0000.8080.4910.808
갱신주기1.0001.0001.0000.7041.0000.8081.0000.7181.000
공개구분1.0000.9681.0000.4960.7180.4910.7181.0000.718
공개_비공개_공개제한 사유1.0001.0001.0000.7041.0000.8081.0000.7181.000
2024-04-22T02:56:32.488103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
최초생성일최종 갱신일자갱신주기공개구분데이터유형(벡터)공개_비공개_공개제한 사유데이터유형(레스터)비용
최초생성일1.0001.0000.8230.5860.5770.8230.8231.000
최종 갱신일자1.0001.0001.0001.0001.0001.0001.0001.000
갱신주기0.8231.0001.0000.9530.7371.0001.0001.000
공개구분0.5861.0000.9531.0000.3320.9530.9531.000
데이터유형(벡터)0.5771.0000.7370.3321.0000.7370.7371.000
공개_비공개_공개제한 사유0.8231.0001.0000.9530.7371.0001.0001.000
데이터유형(레스터)0.8231.0001.0000.9530.7371.0001.0001.000
비용1.0001.0001.0001.0001.0001.0001.0001.000
2024-04-22T02:56:32.692405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
데이터유형(벡터)데이터유형(레스터)최초생성일갱신주기최종 갱신일자공개구분비용공개_비공개_공개제한 사유
데이터유형(벡터)1.0000.7370.5770.7371.0000.3321.0000.737
데이터유형(레스터)0.7371.0000.8231.0001.0000.9531.0001.000
최초생성일0.5770.8231.0000.8231.0000.5861.0000.823
갱신주기0.7371.0000.8231.0001.0000.9531.0001.000
최종 갱신일자1.0001.0001.0001.0001.0001.0001.0001.000
공개구분0.3320.9530.5860.9531.0001.0001.0000.953
비용1.0001.0001.0001.0001.0001.0001.0001.000
공개_비공개_공개제한 사유0.7371.0000.8231.0001.0000.9531.0001.000

Missing values

2024-04-22T02:56:22.496792image/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

레이어명칭(한글)레이어명칭(영문)정보의 주요내용(레이어설명)구축범위데이터유형(벡터)데이터유형(레스터)최초생성일갱신주기최종 갱신일자공개구분비용공개_비공개_공개제한 사유
0가드레일1:1000 수치지형도 CAD파일 (도엽단위)수치지형도1.0 - 가드레일시군구POLYLINECAD20055년2019-12-31공개데이터유료부천시공간정보보안관리규정에 의거
1가로등1:1000 수치지형도 CAD파일 (도엽단위)수치지형도1.0 - 가로등시군구POINTCAD20055년2019-12-31공개데이터유료부천시공간정보보안관리규정에 의거
2가로수1:1000 수치지형도 CAD파일 (도엽단위)수치지형도1.0 - 가로수시군구POINTCAD20055년2019-12-31공개데이터유료부천시공간정보보안관리규정에 의거
3가로안내시설1:1000 수치지형도 CAD파일 (도엽단위)수치지형도1.0 - 가로안내시설시군구POINTCAD20055년2019-12-31공개데이터유료부천시공간정보보안관리규정에 의거
4건물1:1000 수치지형도 CAD파일 (도엽단위)수치지형도1.0 - 건물시군구POLYGONCAD20055년2019-12-31공개데이터유료부천시공간정보보안관리규정에 의거
5고가도로1:1000 수치지형도 CAD파일 (도엽단위)수치지형도1.0 - 고가도로시군구POLYGONCAD20055년2019-12-31공개데이터유료부천시공간정보보안관리규정에 의거
6교량1:1000 수치지형도 CAD파일 (도엽단위)수치지형도1.0 - 교량시군구POLYGONCAD20055년2019-12-31공개데이터유료부천시공간정보보안관리규정에 의거
7교통표지판1:1000 수치지형도 CAD파일 (도엽단위)수치지형도1.0 - 교통표지판시군구POINTCAD20055년2019-12-31공개데이터유료부천시공간정보보안관리규정에 의거
8기타맨홀1:1000 수치지형도 CAD파일 (도엽단위)수치지형도1.0 - 기타맨홀시군구POINTCAD20055년2019-12-31공개데이터유료부천시공간정보보안관리규정에 의거
9기타면형시설1:1000 수치지형도 CAD파일 (도엽단위)수치지형도1.0 - 기타면형시설시군구POLYGONCAD20055년2019-12-31공개데이터유료부천시공간정보보안관리규정에 의거
레이어명칭(한글)레이어명칭(영문)정보의 주요내용(레이어설명)구축범위데이터유형(벡터)데이터유형(레스터)최초생성일갱신주기최종 갱신일자공개구분비용공개_비공개_공개제한 사유
86핸드홀HTL_HANDHOL_A1유관기관지하시설물 - 핸드홀시군구POINTSHP2005실시간<NA>공개제한데이터<NA>부천시공간정보보안관리규정(지하시설물)
87에어밴트HTL_AIRVENT_P1유관기관지하시설물 - 에어밴트시군구POINTSHP2005실시간<NA>공개제한데이터<NA>부천시공간정보보안관리규정(지하시설물)
88가스관로GSL_PIPE_L1유관기관지하시설물 - 가스관로시군구POLYLINESHP2005실시간<NA>공개제한데이터<NA>부천시공간정보보안관리규정(지하시설물)
89가스맨홀GSL_MANHOL_P1유관기관지하시설물 - 가스맨홀시군구POINTSHP2005실시간<NA>공개제한데이터<NA>부천시공간정보보안관리규정(지하시설물)
90가스정압기GSL_PRES_P1유관기관지하시설물 - 가스정압기시군구POINTSHP2005실시간<NA>공개제한데이터<NA>부천시공간정보보안관리규정(지하시설물)
91가스밸브GSL_VALVE_P1유관기관지하시설물 - 가스밸브시군구POINTSHP2005실시간<NA>공개제한데이터<NA>부천시공간정보보안관리규정(지하시설물)
92방식전위관측함GSL_BOX_P1유관기관지하시설물 - 방식전위관측함시군구POINTSHP2005실시간<NA>공개제한데이터<NA>부천시공간정보보안관리규정(지하시설물)
93등고선1:1000 수치지형도 CAD파일 (도엽단위)수치지형도1.0 - 등고선시군구POLYLINECAD20055년<NA>공개제한데이터<NA>부천시공간정보보안관리규정에 의거
94표고점1:1000 수치지형도 CAD파일 (도엽단위)수치지형도1.0 - 표고점시군구POINTCAD20055년<NA>공개제한데이터<NA>부천시공간정보보안관리규정에 의거
95항공사진(수치정사영상)<NA>항공사진시군구정사영상TIFF1989비정규<NA>공개제한데이터<NA>고해상도 항공사진(25cm미만급)