Overview

Dataset statistics

Number of variables22
Number of observations128
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory22.2 KiB
Average record size in memory178.0 B

Variable types

Categorical19
Text3

Dataset

Description통영시 보유 공간정보(도로, 상수, 하수 및 유관기관 자료(전기, 통신, 가스)그리고 항공사진(정사영상) 및 수치지형도) 목록
Author경상남도 통영시
URLhttps://www.data.go.kr/data/15015450/fileData.do

Alerts

정보시스템 명칭(조사기준) has constant value ""Constant
정보분류 has constant value ""Constant
대분류(BRM 1레벨) has constant value ""Constant
중분류(BRM 2레벨) has constant value ""Constant
축척 has constant value ""Constant
해상도 has constant value ""Constant
측지계 has constant value ""Constant
투영법 has constant value ""Constant
좌표원점 has constant value ""Constant
LOD유형 has constant value ""Constant
구축범위 has constant value ""Constant
공개구분 has constant value ""Constant
데이터생산유형 is highly imbalanced (72.7%)Imbalance
수수료 구분 is highly imbalanced (72.7%)Imbalance
징수근거 is highly imbalanced (76.2%)Imbalance
레이어(테이블) 명칭(영문) has unique valuesUnique

Reproduction

Analysis started2024-03-14 20:21:08.896705
Analysis finished2024-03-14 20:21:09.636605
Duration0.74 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
도시정보시스템
128 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
도시정보시스템 128
100.0%

Length

2024-03-15T05:21:09.844946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T05:21:10.062078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
도시정보시스템 128
100.0%

정보분류
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
공간정보
128 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공간정보 128
100.0%

Length

2024-03-15T05:21:10.250311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T05:21:10.425288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공간정보 128
100.0%
Distinct124
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-03-15T05:21:11.397472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length8
Mean length5.7421875
Min length2

Characters and Unicode

Total characters735
Distinct characters149
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique120 ?
Unique (%)93.8%

Sample

1st row1/1000 색인도
2nd row1/2500 색인도
3rd row1/500 색인도
4th row1/5000 색인도
5th row가로등
ValueCountFrequency (%)
색인도 4
 
3.0%
정사영상(2018 2
 
1.5%
정사영상(2014 2
 
1.5%
정사영상(2006 2
 
1.5%
정사영상(2016 2
 
1.5%
정사영상(2005 1
 
0.8%
점용시설(면 1
 
0.8%
점용시설(선 1
 
0.8%
점용시설(점 1
 
0.8%
정류소 1
 
0.8%
Other values (115) 115
87.1%
2024-03-15T05:21:12.863219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
49
 
6.7%
0 33
 
4.5%
29
 
3.9%
) 25
 
3.4%
_ 25
 
3.4%
( 25
 
3.4%
21
 
2.9%
20
 
2.7%
1 18
 
2.4%
17
 
2.3%
Other values (139) 473
64.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 562
76.5%
Decimal Number 87
 
11.8%
Close Punctuation 25
 
3.4%
Connector Punctuation 25
 
3.4%
Open Punctuation 25
 
3.4%
Other Punctuation 5
 
0.7%
Space Separator 4
 
0.5%
Dash Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
49
 
8.7%
29
 
5.2%
21
 
3.7%
20
 
3.6%
17
 
3.0%
17
 
3.0%
16
 
2.8%
16
 
2.8%
15
 
2.7%
14
 
2.5%
Other values (123) 348
61.9%
Decimal Number
ValueCountFrequency (%)
0 33
37.9%
1 18
20.7%
2 16
18.4%
5 6
 
6.9%
6 4
 
4.6%
8 3
 
3.4%
9 2
 
2.3%
7 2
 
2.3%
4 2
 
2.3%
3 1
 
1.1%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 25
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 5
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 562
76.5%
Common 173
 
23.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
49
 
8.7%
29
 
5.2%
21
 
3.7%
20
 
3.6%
17
 
3.0%
17
 
3.0%
16
 
2.8%
16
 
2.8%
15
 
2.7%
14
 
2.5%
Other values (123) 348
61.9%
Common
ValueCountFrequency (%)
0 33
19.1%
) 25
14.5%
_ 25
14.5%
( 25
14.5%
1 18
10.4%
2 16
9.2%
5 6
 
3.5%
/ 5
 
2.9%
4
 
2.3%
6 4
 
2.3%
Other values (6) 12
 
6.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 562
76.5%
ASCII 173
 
23.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
49
 
8.7%
29
 
5.2%
21
 
3.7%
20
 
3.6%
17
 
3.0%
17
 
3.0%
16
 
2.8%
16
 
2.8%
15
 
2.7%
14
 
2.5%
Other values (123) 348
61.9%
ASCII
ValueCountFrequency (%)
0 33
19.1%
) 25
14.5%
_ 25
14.5%
( 25
14.5%
1 18
10.4%
2 16
9.2%
5 6
 
3.5%
/ 5
 
2.9%
4
 
2.3%
6 4
 
2.3%
Other values (6) 12
 
6.9%
Distinct128
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-03-15T05:21:14.290718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length11
Mean length10.789062
Min length9

Characters and Unicode

Total characters1381
Distinct characters43
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique128 ?
Unique (%)100.0%

Sample

1st rowBML_I010_AS
2nd rowBML_I025_AS
3rd rowBML_I005_AS
4th rowBML_I050_AS
5th rowRDL_STLT_PS
ValueCountFrequency (%)
bml_i010_as 1
 
0.8%
bml_i025_as 1
 
0.8%
2016_25cm 1
 
0.8%
2015_25cm 1
 
0.8%
2014_50cm 1
 
0.8%
2014_25cm 1
 
0.8%
2013_25cm 1
 
0.8%
2011_25cm 1
 
0.8%
2010_25cm 1
 
0.8%
2008_25cm 1
 
0.8%
Other values (118) 118
92.2%
2024-03-15T05:21:15.966586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
_ 240
17.4%
S 169
12.2%
L 159
11.5%
R 97
 
7.0%
A 75
 
5.4%
D 72
 
5.2%
B 61
 
4.4%
M 58
 
4.2%
P 57
 
4.1%
T 49
 
3.5%
Other values (33) 344
24.9%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 989
71.6%
Connector Punctuation 240
 
17.4%
Decimal Number 112
 
8.1%
Lowercase Letter 40
 
2.9%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
S 169
17.1%
L 159
16.1%
R 97
9.8%
A 75
7.6%
D 72
7.3%
B 61
 
6.2%
M 58
 
5.9%
P 57
 
5.8%
T 49
 
5.0%
W 27
 
2.7%
Other values (14) 165
16.7%
Decimal Number
ValueCountFrequency (%)
0 35
31.2%
2 29
25.9%
5 22
19.6%
1 13
 
11.6%
6 4
 
3.6%
8 2
 
1.8%
7 2
 
1.8%
9 2
 
1.8%
4 2
 
1.8%
3 1
 
0.9%
Lowercase Letter
ValueCountFrequency (%)
m 16
40.0%
c 16
40.0%
a 2
 
5.0%
i 2
 
5.0%
p 1
 
2.5%
t 1
 
2.5%
g 1
 
2.5%
l 1
 
2.5%
Connector Punctuation
ValueCountFrequency (%)
_ 240
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1029
74.5%
Common 352
 
25.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
S 169
16.4%
L 159
15.5%
R 97
9.4%
A 75
 
7.3%
D 72
 
7.0%
B 61
 
5.9%
M 58
 
5.6%
P 57
 
5.5%
T 49
 
4.8%
W 27
 
2.6%
Other values (22) 205
19.9%
Common
ValueCountFrequency (%)
_ 240
68.2%
0 35
 
9.9%
2 29
 
8.2%
5 22
 
6.2%
1 13
 
3.7%
6 4
 
1.1%
8 2
 
0.6%
7 2
 
0.6%
9 2
 
0.6%
4 2
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1381
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
_ 240
17.4%
S 169
12.2%
L 159
11.5%
R 97
 
7.0%
A 75
 
5.4%
D 72
 
5.2%
B 61
 
4.4%
M 58
 
4.2%
P 57
 
4.1%
T 49
 
3.5%
Other values (33) 344
24.9%
Distinct125
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-03-15T05:21:16.983583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length8
Mean length5.7109375
Min length2

Characters and Unicode

Total characters731
Distinct characters148
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique122 ?
Unique (%)95.3%

Sample

1st row1/1000 색인도
2nd row1/2500 색인도
3rd row1/500 색인도
4th row1/5000 색인도
5th row가로등
ValueCountFrequency (%)
색인도 4
 
3.0%
정사영상(2016 2
 
1.5%
정사영상(2006 2
 
1.5%
정사영상(2014 2
 
1.5%
횡단보도 1
 
0.8%
절개면_성토면 1
 
0.8%
점용시설(면 1
 
0.8%
정사영상(2015 1
 
0.8%
정사영상(2013 1
 
0.8%
정사영상(2011 1
 
0.8%
Other values (116) 116
87.9%
2024-03-15T05:21:18.394081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
49
 
6.7%
0 34
 
4.7%
29
 
4.0%
) 25
 
3.4%
_ 25
 
3.4%
( 25
 
3.4%
21
 
2.9%
20
 
2.7%
1 17
 
2.3%
17
 
2.3%
Other values (138) 469
64.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 554
75.8%
Decimal Number 87
 
11.9%
Close Punctuation 25
 
3.4%
Connector Punctuation 25
 
3.4%
Open Punctuation 25
 
3.4%
Other Punctuation 5
 
0.7%
Space Separator 4
 
0.5%
Uppercase Letter 4
 
0.5%
Dash Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
49
 
8.8%
29
 
5.2%
21
 
3.8%
20
 
3.6%
17
 
3.1%
17
 
3.1%
16
 
2.9%
16
 
2.9%
14
 
2.5%
14
 
2.5%
Other values (119) 341
61.6%
Decimal Number
ValueCountFrequency (%)
0 34
39.1%
1 17
19.5%
2 17
19.5%
5 6
 
6.9%
6 4
 
4.6%
8 2
 
2.3%
4 2
 
2.3%
9 2
 
2.3%
7 2
 
2.3%
3 1
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
C 2
50.0%
T 1
25.0%
V 1
25.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 25
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 5
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 554
75.8%
Common 173
 
23.7%
Latin 4
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
49
 
8.8%
29
 
5.2%
21
 
3.8%
20
 
3.6%
17
 
3.1%
17
 
3.1%
16
 
2.9%
16
 
2.9%
14
 
2.5%
14
 
2.5%
Other values (119) 341
61.6%
Common
ValueCountFrequency (%)
0 34
19.7%
) 25
14.5%
_ 25
14.5%
( 25
14.5%
1 17
9.8%
2 17
9.8%
5 6
 
3.5%
/ 5
 
2.9%
6 4
 
2.3%
4
 
2.3%
Other values (6) 11
 
6.4%
Latin
ValueCountFrequency (%)
C 2
50.0%
T 1
25.0%
V 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 554
75.8%
ASCII 177
 
24.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
49
 
8.8%
29
 
5.2%
21
 
3.8%
20
 
3.6%
17
 
3.1%
17
 
3.1%
16
 
2.9%
16
 
2.9%
14
 
2.5%
14
 
2.5%
Other values (119) 341
61.6%
ASCII
ValueCountFrequency (%)
0 34
19.2%
) 25
14.1%
_ 25
14.1%
( 25
14.1%
1 17
9.6%
2 17
9.6%
5 6
 
3.4%
/ 5
 
2.8%
6 4
 
2.3%
4
 
2.3%
Other values (9) 15
8.5%
Distinct3
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
79 
수치지형도
43 
국토지리정보원
 
6

Length

Max length7
Median length4
Mean length4.4765625
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row수치지형도
2nd row수치지형도
3rd row수치지형도
4th row수치지형도
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 79
61.7%
수치지형도 43
33.6%
국토지리정보원 6
 
4.7%

Length

2024-03-15T05:21:18.879177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T05:21:19.207106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 79
61.7%
수치지형도 43
33.6%
국토지리정보원 6
 
4.7%

수치지형도
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
84 
수치지형도 Ver1.0
44 

Length

Max length12
Median length4
Mean length6.75
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row수치지형도 Ver1.0
2nd row수치지형도 Ver1.0
3rd row수치지형도 Ver1.0
4th row수치지형도 Ver1.0
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 84
65.6%
수치지형도 Ver1.0 44
34.4%

Length

2024-03-15T05:21:19.588426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T05:21:19.919882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 84
48.8%
수치지형도 44
25.6%
ver1.0 44
25.6%

대분류(BRM 1레벨)
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
일반공공행정
128 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반공공행정 128
100.0%

Length

2024-03-15T05:21:20.266502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T05:21:20.571262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반공공행정 128
100.0%

중분류(BRM 2레벨)
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
일반행정
128 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반행정 128
100.0%

Length

2024-03-15T05:21:20.893808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T05:21:21.199369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반행정 128
100.0%

벡터
Categorical

Distinct4
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
polygon
52 
point
36 
line
24 
기타
16 

Length

Max length7
Median length5
Mean length5.25
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowpolygon
2nd rowpolygon
3rd rowpolygon
4th rowpolygon
5th rowpoint

Common Values

ValueCountFrequency (%)
polygon 52
40.6%
point 36
28.1%
line 24
18.8%
기타 16
 
12.5%

Length

2024-03-15T05:21:21.537520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T05:21:21.867786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
polygon 52
40.6%
point 36
28.1%
line 24
18.8%
기타 16
 
12.5%

축척
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
3.513888889
128 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3.513888889
2nd row3.513888889
3rd row3.513888889
4th row3.513888889
5th row3.513888889

Common Values

ValueCountFrequency (%)
3.513888889 128
100.0%

Length

2024-03-15T05:21:22.234341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T05:21:22.544059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3.513888889 128
100.0%

해상도
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
해당없음
128 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
해당없음 128
100.0%

Length

2024-03-15T05:21:22.784839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T05:21:22.966218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해당없음 128
100.0%

측지계
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
GRS80
128 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowGRS80
2nd rowGRS80
3rd rowGRS80
4th rowGRS80
5th rowGRS80

Common Values

ValueCountFrequency (%)
GRS80 128
100.0%

Length

2024-03-15T05:21:23.148389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T05:21:23.452838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
grs80 128
100.0%

투영법
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
TM
128 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
TM 128
100.0%

Length

2024-03-15T05:21:23.787809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T05:21:24.054173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
tm 128
100.0%

좌표원점
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
동부
128 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동부 128
100.0%

Length

2024-03-15T05:21:24.296306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T05:21:24.715542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동부 128
100.0%

LOD유형
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2D
128 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2D
2nd row2D
3rd row2D
4th row2D
5th row2D

Common Values

ValueCountFrequency (%)
2D 128
100.0%

Length

2024-03-15T05:21:25.101808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T05:21:25.452526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2d 128
100.0%

구축범위
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
시군구
128 

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 128
100.0%

Length

2024-03-15T05:21:25.859935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T05:21:26.181872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
시군구 128
100.0%

데이터생산유형
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
자체생산
122 
타기관
 
6

Length

Max length4
Median length4
Mean length3.953125
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
자체생산 122
95.3%
타기관 6
 
4.7%

Length

2024-03-15T05:21:26.530280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T05:21:26.874797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
자체생산 122
95.3%
타기관 6
 
4.7%
Distinct3
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
실시간
67 
비정기
60 
직접입력
 
1

Length

Max length4
Median length3
Mean length3.0078125
Min length3

Unique

Unique1 ?
Unique (%)0.8%

Sample

1st row비정기
2nd row비정기
3rd row비정기
4th row비정기
5th row실시간

Common Values

ValueCountFrequency (%)
실시간 67
52.3%
비정기 60
46.9%
직접입력 1
 
0.8%

Length

2024-03-15T05:21:27.300169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T05:21:27.727326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
실시간 67
52.3%
비정기 60
46.9%
직접입력 1
 
0.8%

공개구분
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
공개
128 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공개 128
100.0%

Length

2024-03-15T05:21:28.095928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T05:21:28.413470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공개 128
100.0%

수수료 구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
조건부유료
122 
판매불가
 
6

Length

Max length5
Median length5
Mean length4.953125
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
조건부유료 122
95.3%
판매불가 6
 
4.7%

Length

2024-03-15T05:21:28.941454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T05:21:29.256866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
조건부유료 122
95.3%
판매불가 6
 
4.7%

징수근거
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
통영시 공간정보에 관한 조례 제17조
123 
<NA>
 
5

Length

Max length20
Median length20
Mean length19.375
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row통영시 공간정보에 관한 조례 제17조
2nd row통영시 공간정보에 관한 조례 제17조
3rd row통영시 공간정보에 관한 조례 제17조
4th row통영시 공간정보에 관한 조례 제17조
5th row통영시 공간정보에 관한 조례 제17조

Common Values

ValueCountFrequency (%)
통영시 공간정보에 관한 조례 제17조 123
96.1%
<NA> 5
 
3.9%

Length

2024-03-15T05:21:29.623669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T05:21:29.912889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
통영시 123
19.8%
공간정보에 123
19.8%
관한 123
19.8%
조례 123
19.8%
제17조 123
19.8%
na 5
 
0.8%

Sample

정보시스템 명칭(조사기준)정보분류레이어(테이블) 명칭(한글)레이어(테이블) 명칭(영문)레이어(테이블) 정보 설명공간정보생성 원본데이터수치지형도대분류(BRM 1레벨)중분류(BRM 2레벨)벡터축척해상도측지계투영법좌표원점LOD유형구축범위데이터생산유형정보갱신주기공개구분수수료 구분징수근거
0도시정보시스템공간정보1/1000 색인도BML_I010_AS1/1000 색인도수치지형도수치지형도 Ver1.0일반공공행정일반행정polygon3.513889해당없음GRS80TM동부2D시군구자체생산비정기공개조건부유료통영시 공간정보에 관한 조례 제17조
1도시정보시스템공간정보1/2500 색인도BML_I025_AS1/2500 색인도수치지형도수치지형도 Ver1.0일반공공행정일반행정polygon3.513889해당없음GRS80TM동부2D시군구자체생산비정기공개조건부유료통영시 공간정보에 관한 조례 제17조
2도시정보시스템공간정보1/500 색인도BML_I005_AS1/500 색인도수치지형도수치지형도 Ver1.0일반공공행정일반행정polygon3.513889해당없음GRS80TM동부2D시군구자체생산비정기공개조건부유료통영시 공간정보에 관한 조례 제17조
3도시정보시스템공간정보1/5000 색인도BML_I050_AS1/5000 색인도수치지형도수치지형도 Ver1.0일반공공행정일반행정polygon3.513889해당없음GRS80TM동부2D시군구자체생산비정기공개조건부유료통영시 공간정보에 관한 조례 제17조
4도시정보시스템공간정보가로등RDL_STLT_PS가로등<NA><NA>일반공공행정일반행정point3.513889해당없음GRS80TM동부2D시군구자체생산실시간공개조건부유료통영시 공간정보에 관한 조례 제17조
5도시정보시스템공간정보가로수RDL_TREE_PS가로수<NA><NA>일반공공행정일반행정point3.513889해당없음GRS80TM동부2D시군구자체생산실시간공개조건부유료통영시 공간정보에 관한 조례 제17조
6도시정보시스템공간정보계곡선SWL_IDCT_LS계곡선<NA><NA>일반공공행정일반행정line3.513889해당없음GRS80TM동부2D시군구자체생산실시간공개조건부유료통영시 공간정보에 관한 조례 제17조
7도시정보시스템공간정보계단BML_STIR_AS계단수치지형도수치지형도 Ver1.0일반공공행정일반행정polygon3.513889해당없음GRS80TM동부2D시군구자체생산비정기공개조건부유료통영시 공간정보에 관한 조례 제17조
8도시정보시스템공간정보고가도로RDL_EVRD_AS고가도로<NA><NA>일반공공행정일반행정polygon3.513889해당없음GRS80TM동부2D시군구자체생산실시간공개조건부유료통영시 공간정보에 관한 조례 제17조
9도시정보시스템공간정보과속방지턱RDL_SDHP_AS과속방지턱<NA><NA>일반공공행정일반행정polygon3.513889해당없음GRS80TM동부2D시군구자체생산실시간공개조건부유료통영시 공간정보에 관한 조례 제17조
정보시스템 명칭(조사기준)정보분류레이어(테이블) 명칭(한글)레이어(테이블) 명칭(영문)레이어(테이블) 정보 설명공간정보생성 원본데이터수치지형도대분류(BRM 1레벨)중분류(BRM 2레벨)벡터축척해상도측지계투영법좌표원점LOD유형구축범위데이터생산유형정보갱신주기공개구분수수료 구분징수근거
118도시정보시스템공간정보하천연안구역SWL_COST_AS하천연안구역<NA><NA>일반공공행정일반행정polygon3.513889해당없음GRS80TM동부2D시군구자체생산실시간공개조건부유료통영시 공간정보에 관한 조례 제17조
119도시정보시스템공간정보하천예정지SWL_SCDL_AS하천예정지<NA><NA>일반공공행정일반행정polygon3.513889해당없음GRS80TM동부2D시군구자체생산실시간공개조건부유료통영시 공간정보에 관한 조례 제17조
120도시정보시스템공간정보하천제방SWL_RVBK_LS하천제방<NA><NA>일반공공행정일반행정line3.513889해당없음GRS80TM동부2D시군구자체생산실시간공개조건부유료통영시 공간정보에 관한 조례 제17조
121도시정보시스템공간정보하천중심선SWL_RVCT_LS하천중심선<NA><NA>일반공공행정일반행정line3.513889해당없음GRS80TM동부2D시군구자체생산실시간공개조건부유료통영시 공간정보에 관한 조례 제17조
122도시정보시스템공간정보하천표석SWL_MLST_PS하천표석<NA><NA>일반공공행정일반행정point3.513889해당없음GRS80TM동부2D시군구자체생산실시간공개조건부유료통영시 공간정보에 관한 조례 제17조
123도시정보시스템공간정보해양경계선BML_CSLN_LS해양경계선수치지형도수치지형도 Ver1.0일반공공행정일반행정line3.513889해당없음GRS80TM동부2D시군구자체생산비정기공개조건부유료통영시 공간정보에 관한 조례 제17조
124도시정보시스템공간정보현하천SWL_RIVR_AS현하천<NA><NA>일반공공행정일반행정polygon3.513889해당없음GRS80TM동부2D시군구자체생산실시간공개조건부유료통영시 공간정보에 관한 조례 제17조
125도시정보시스템공간정보홍수범람구역SWL_FLOD_AS홍수범람구역<NA><NA>일반공공행정일반행정polygon3.513889해당없음GRS80TM동부2D시군구자체생산실시간공개조건부유료통영시 공간정보에 관한 조례 제17조
126도시정보시스템공간정보횡단보도RDL_PDCR_AS횡단보도<NA><NA>일반공공행정일반행정polygon3.513889해당없음GRS80TM동부2D시군구자체생산실시간공개조건부유료통영시 공간정보에 관한 조례 제17조
127도시정보시스템공간정보횡단측점SWL_CROS_PS횡단측점<NA><NA>일반공공행정일반행정point3.513889해당없음GRS80TM동부2D시군구자체생산실시간공개조건부유료통영시 공간정보에 관한 조례 제17조