Overview

Dataset statistics

Number of variables21
Number of observations4178
Missing cells5802
Missing cells (%)6.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory706.0 KiB
Average record size in memory173.0 B

Variable types

Numeric5
Categorical10
Text5
DateTime1

Dataset

Description부산광역시 도시공간정보시스템내 공공 기준점 중 도시 기준점 출력 이력 정보 현황입니다.(출력 일련번호, 기준점 관리 번호, 관련 사업 명 등)
Author부산광역시
URLhttps://www.data.go.kr/data/15080819/fileData.do

Alerts

관리구분 has constant value ""Constant
기준타원체 has constant value ""Constant
점의종류 is highly imbalanced (99.1%)Imbalance
점의등급 is highly imbalanced (80.9%)Imbalance
표지상황 is highly imbalanced (60.2%)Imbalance
점의상태 is highly imbalanced (94.2%)Imbalance
고시일자 has 2890 (69.2%) missing valuesMissing
고시번호 has 2890 (69.2%) missing valuesMissing
공간정보일련번호 has unique valuesUnique
관리번호 has unique valuesUnique

Reproduction

Analysis started2024-04-29 22:48:29.907456
Analysis finished2024-04-29 22:48:31.069706
Duration1.16 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

공간정보일련번호
Real number (ℝ)

UNIQUE 

Distinct4178
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2089.5
Minimum1
Maximum4178
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.8 KiB
2024-04-30T07:48:31.156597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile209.85
Q11045.25
median2089.5
Q33133.75
95-th percentile3969.15
Maximum4178
Range4177
Interquartile range (IQR)2088.5

Descriptive statistics

Standard deviation1206.229
Coefficient of variation (CV)0.57728119
Kurtosis-1.2
Mean2089.5
Median Absolute Deviation (MAD)1044.5
Skewness0
Sum8729931
Variance1454988.5
MonotonicityNot monotonic
2024-04-30T07:48:31.289021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
70 1
 
< 0.1%
2676 1
 
< 0.1%
2678 1
 
< 0.1%
2679 1
 
< 0.1%
2680 1
 
< 0.1%
2681 1
 
< 0.1%
2682 1
 
< 0.1%
2683 1
 
< 0.1%
2684 1
 
< 0.1%
2685 1
 
< 0.1%
Other values (4168) 4168
99.8%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
4178 1
< 0.1%
4177 1
< 0.1%
4176 1
< 0.1%
4175 1
< 0.1%
4174 1
< 0.1%
4173 1
< 0.1%
4172 1
< 0.1%
4171 1
< 0.1%
4170 1
< 0.1%
4169 1
< 0.1%

관리구분
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size32.8 KiB
ZA021
4178 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowZA021
2nd rowZA021
3rd rowZA021
4th rowZA021
5th rowZA021

Common Values

ValueCountFrequency (%)
ZA021 4178
100.0%

Length

2024-04-30T07:48:31.406239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T07:48:31.497467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
za021 4178
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct4178
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13979.676
Minimum4176
Maximum21605
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.8 KiB
2024-04-30T07:48:31.606540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4176
5-th percentile6676.85
Q17512.25
median8556.5
Q320560.75
95-th percentile21396.15
Maximum21605
Range17429
Interquartile range (IQR)13048.5

Descriptive statistics

Standard deviation6554.871
Coefficient of variation (CV)0.46888576
Kurtosis-1.9658554
Mean13979.676
Median Absolute Deviation (MAD)2068
Skewness0.018772173
Sum58407086
Variance42966334
MonotonicityNot monotonic
2024-04-30T07:48:31.749842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20368 1
 
< 0.1%
6871 1
 
< 0.1%
6873 1
 
< 0.1%
6874 1
 
< 0.1%
6875 1
 
< 0.1%
6876 1
 
< 0.1%
6877 1
 
< 0.1%
6878 1
 
< 0.1%
6879 1
 
< 0.1%
6880 1
 
< 0.1%
Other values (4168) 4168
99.8%
ValueCountFrequency (%)
4176 1
< 0.1%
4177 1
< 0.1%
4178 1
< 0.1%
6471 1
< 0.1%
6472 1
< 0.1%
6473 1
< 0.1%
6474 1
< 0.1%
6475 1
< 0.1%
6476 1
< 0.1%
6477 1
< 0.1%
ValueCountFrequency (%)
21605 1
< 0.1%
21604 1
< 0.1%
21603 1
< 0.1%
21602 1
< 0.1%
21601 1
< 0.1%
21600 1
< 0.1%
21599 1
< 0.1%
21598 1
< 0.1%
21597 1
< 0.1%
21596 1
< 0.1%

점의종류
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size32.8 KiB
공공기준점
4175 
공공삼각점
 
3

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공공기준점 4175
99.9%
공공삼각점 3
 
0.1%

Length

2024-04-30T07:48:31.861585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T07:48:31.963768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공공기준점 4175
99.9%
공공삼각점 3
 
0.1%

점의등급
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size32.8 KiB
4급
3988 
2급
 
147
1급
 
43

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4급
2nd row4급
3rd row4급
4th row4급
5th row4급

Common Values

ValueCountFrequency (%)
4급 3988
95.5%
2급 147
 
3.5%
1급 43
 
1.0%

Length

2024-04-30T07:48:32.072712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T07:48:32.203474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4급 3988
95.5%
2급 147
 
3.5%
1급 43
 
1.0%

점의명칭
Text

Distinct3701
Distinct (%)88.6%
Missing0
Missing (%)0.0%
Memory size32.8 KiB
2024-04-30T07:48:32.587557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length4.7340833
Min length3

Characters and Unicode

Total characters19779
Distinct characters29
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

Unique3454 ?
Unique (%)82.7%

Sample

1st rowCG30
2nd rowCG31
3rd rowCG32
4th rowCG33
5th rowCG34
ValueCountFrequency (%)
cp1 46
 
1.1%
cp2 44
 
1.1%
bs01 11
 
0.3%
bs02 10
 
0.2%
bs06 9
 
0.2%
bs05 9
 
0.2%
bs04 9
 
0.2%
bs03 9
 
0.2%
bs.102 7
 
0.2%
bs.101 7
 
0.2%
Other values (3691) 4017
96.1%
2024-04-30T07:48:33.149023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 2349
11.9%
. 2062
 
10.4%
B 1871
 
9.5%
0 1819
 
9.2%
2 1293
 
6.5%
4 1263
 
6.4%
3 1218
 
6.2%
5 980
 
5.0%
9 888
 
4.5%
6 802
 
4.1%
Other values (19) 5234
26.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12065
61.0%
Uppercase Letter 5644
28.5%
Other Punctuation 2062
 
10.4%
Dash Punctuation 8
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
B 1871
33.2%
C 755
13.4%
P 658
 
11.7%
G 493
 
8.7%
S 463
 
8.2%
J 373
 
6.6%
N 302
 
5.4%
O 140
 
2.5%
H 133
 
2.4%
A 116
 
2.1%
Other values (7) 340
 
6.0%
Decimal Number
ValueCountFrequency (%)
1 2349
19.5%
0 1819
15.1%
2 1293
10.7%
4 1263
10.5%
3 1218
10.1%
5 980
8.1%
9 888
 
7.4%
6 802
 
6.6%
8 745
 
6.2%
7 708
 
5.9%
Other Punctuation
ValueCountFrequency (%)
. 2062
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 14135
71.5%
Latin 5644
 
28.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
B 1871
33.2%
C 755
13.4%
P 658
 
11.7%
G 493
 
8.7%
S 463
 
8.2%
J 373
 
6.6%
N 302
 
5.4%
O 140
 
2.5%
H 133
 
2.4%
A 116
 
2.1%
Other values (7) 340
 
6.0%
Common
ValueCountFrequency (%)
1 2349
16.6%
. 2062
14.6%
0 1819
12.9%
2 1293
9.1%
4 1263
8.9%
3 1218
8.6%
5 980
6.9%
9 888
 
6.3%
6 802
 
5.7%
8 745
 
5.3%
Other values (2) 716
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 19779
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 2349
11.9%
. 2062
 
10.4%
B 1871
 
9.5%
0 1819
 
9.2%
2 1293
 
6.5%
4 1263
 
6.4%
3 1218
 
6.2%
5 980
 
5.0%
9 888
 
4.5%
6 802
 
4.1%
Other values (19) 5234
26.5%

도엽명
Categorical

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size32.8 KiB
부산
2791 
김해
794 
양산
404 
방어진
 
119
밀양
 
63

Length

Max length3
Median length2
Mean length2.0284825
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
부산 2791
66.8%
김해 794
 
19.0%
양산 404
 
9.7%
방어진 119
 
2.8%
밀양 63
 
1.5%
부신 7
 
0.2%

Length

2024-04-30T07:48:33.290773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T07:48:33.403496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산 2791
66.8%
김해 794
 
19.0%
양산 404
 
9.7%
방어진 119
 
2.8%
밀양 63
 
1.5%
부신 7
 
0.2%

표지상황
Categorical

IMBALANCE 

Distinct9
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size32.8 KiB
동판
3065 
표시못
689 
화강암
 
188
황동판
 
173
표시핀
 
37
Other values (4)
 
26

Length

Max length4
Median length2
Mean length2.2563427
Min length1

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
동판 3065
73.4%
표시못 689
 
16.5%
화강암 188
 
4.5%
황동판 173
 
4.1%
표시핀 37
 
0.9%
핀 21
 
0.5%
지적못 3
 
0.1%
표석 1
 
< 0.1%
한전동판 1
 
< 0.1%

Length

2024-04-30T07:48:33.526035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T07:48:33.645979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동판 3065
73.4%
표시못 689
 
16.5%
화강암 188
 
4.5%
황동판 173
 
4.1%
표시핀 37
 
0.9%
핀 21
 
0.5%
지적못 3
 
0.1%
표석 1
 
< 0.1%
한전동판 1
 
< 0.1%

계획기관
Categorical

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size32.8 KiB
부산광역시
2108 
(주)부산도시가스
1072 
한국전력공사
775 
한국전력공사
221 
부산광역시 금정구
 
1

Length

Max length10
Median length5
Mean length6.3197702
Min length5

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row(주)부산도시가스
2nd row(주)부산도시가스
3rd row(주)부산도시가스
4th row(주)부산도시가스
5th row(주)부산도시가스

Common Values

ValueCountFrequency (%)
부산광역시 2108
50.5%
(주)부산도시가스 1072
25.7%
한국전력공사 775
 
18.5%
한국전력공사 221
 
5.3%
부산광역시 금정구 1
 
< 0.1%
부산광역시 건설본부 1
 
< 0.1%

Length

2024-04-30T07:48:33.774814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T07:48:33.890319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산광역시 2110
50.5%
주)부산도시가스 1072
25.6%
한국전력공사 996
23.8%
금정구 1
 
< 0.1%
건설본부 1
 
< 0.1%

소재지
Text

Distinct855
Distinct (%)20.5%
Missing0
Missing (%)0.0%
Memory size32.8 KiB
2024-04-30T07:48:34.099760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length24
Mean length12.457157
Min length5

Characters and Unicode

Total characters52046
Distinct characters171
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique437 ?
Unique (%)10.5%

Sample

1st row부산광역시 부산진구
2nd row부산광역시 부산진구
3rd row부산광역시 부산진구
4th row부산광역시 부산진구
5th row부산광역시 부산진구
ValueCountFrequency (%)
부산광역시 1709
 
17.6%
부산 456
 
4.7%
해운대구 395
 
4.1%
기장군 331
 
3.4%
부산진구 322
 
3.3%
강서구 267
 
2.7%
부산시 254
 
2.6%
주변 246
 
2.5%
경상남도 241
 
2.5%
사하구 235
 
2.4%
Other values (848) 5279
54.2%
2024-04-30T07:48:34.452641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5576
 
10.7%
산 4732
 
9.1%
부 4492
 
8.6%
시 3723
 
7.2%
구 3490
 
6.7%
광 3333
 
6.4%
역 3226
 
6.2%
동 3082
 
5.9%
장 959
 
1.8%
기 750
 
1.4%
Other values (161) 18683
35.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 43506
83.6%
Space Separator 5576
 
10.7%
Decimal Number 2697
 
5.2%
Dash Punctuation 262
 
0.5%
Uppercase Letter 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 4732
 
10.9%
부 4492
 
10.3%
시 3723
 
8.6%
구 3490
 
8.0%
광 3333
 
7.7%
역 3226
 
7.4%
동 3082
 
7.1%
장 959
 
2.2%
기 750
 
1.7%
대 723
 
1.7%
Other values (144) 14996
34.5%
Decimal Number
ValueCountFrequency (%)
1 748
27.7%
2 684
25.4%
3 304
11.3%
4 243
 
9.0%
5 172
 
6.4%
6 145
 
5.4%
9 107
 
4.0%
7 105
 
3.9%
8 99
 
3.7%
0 90
 
3.3%
Uppercase Letter
ValueCountFrequency (%)
F 1
20.0%
A 1
20.0%
L 1
20.0%
S 1
20.0%
E 1
20.0%
Space Separator
ValueCountFrequency (%)
5576
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 262
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 43506
83.6%
Common 8535
 
16.4%
Latin 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 4732
 
10.9%
부 4492
 
10.3%
시 3723
 
8.6%
구 3490
 
8.0%
광 3333
 
7.7%
역 3226
 
7.4%
동 3082
 
7.1%
장 959
 
2.2%
기 750
 
1.7%
대 723
 
1.7%
Other values (144) 14996
34.5%
Common
ValueCountFrequency (%)
5576
65.3%
1 748
 
8.8%
2 684
 
8.0%
3 304
 
3.6%
- 262
 
3.1%
4 243
 
2.8%
5 172
 
2.0%
6 145
 
1.7%
9 107
 
1.3%
7 105
 
1.2%
Other values (2) 189
 
2.2%
Latin
ValueCountFrequency (%)
F 1
20.0%
A 1
20.0%
L 1
20.0%
S 1
20.0%
E 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 43506
83.6%
ASCII 8540
 
16.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5576
65.3%
1 748
 
8.8%
2 684
 
8.0%
3 304
 
3.6%
- 262
 
3.1%
4 243
 
2.8%
5 172
 
2.0%
6 145
 
1.7%
9 107
 
1.3%
7 105
 
1.2%
Other values (7) 194
 
2.3%
Hangul
ValueCountFrequency (%)
산 4732
 
10.9%
부 4492
 
10.3%
시 3723
 
8.6%
구 3490
 
8.0%
광 3333
 
7.7%
역 3226
 
7.4%
동 3082
 
7.1%
장 959
 
2.2%
기 750
 
1.7%
대 723
 
1.7%
Other values (144) 14996
34.5%

위치설명
Text

Distinct4089
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Memory size32.8 KiB
2024-04-30T07:48:34.763660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length78
Median length57
Mean length26.478698
Min length3

Characters and Unicode

Total characters110628
Distinct characters768
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4035 ?
Unique (%)96.6%

Sample

1st row성산포식당 입구 보도경계석 앞에 위치(새주소 : 백양순환로 147)
2nd row골목입구 전주 옆에 위치(새주소 : 백양대로 78번길)
3rd rowSK주유소 입구 보도경계석 코너 앞에 위치(새주소 : 백양대로 78번길)
4th row도로중앙 화단경계석 코너에 위치(새주소 : 가야대로 703번길 입구)
5th row장터식당 입구 코너에 위치(새주소 : 가양대로 703번길 11)
ValueCountFrequency (%)
위치함 879
 
4.3%
앞 624
 
3.1%
위치 580
 
2.8%
약 531
 
2.6%
부근 442
 
2.2%
입구 326
 
1.6%
319
 
1.6%
방향 317
 
1.6%
도로 309
 
1.5%
위치(새주소 282
 
1.4%
Other values (6426) 15808
77.4%
2024-04-30T07:48:35.266288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
16911
 
15.3%
에 3973
 
3.6%
위 3241
 
2.9%
치 3215
 
2.9%
로 2352
 
2.1%
함 2188
 
2.0%
구 2022
 
1.8%
도 1922
 
1.7%
앞 1747
 
1.6%
. 1581
 
1.4%
Other values (758) 71476
64.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 81487
73.7%
Space Separator 16911
 
15.3%
Decimal Number 5966
 
5.4%
Uppercase Letter 2179
 
2.0%
Other Punctuation 2043
 
1.8%
Lowercase Letter 590
 
0.5%
Open Punctuation 586
 
0.5%
Close Punctuation 586
 
0.5%
Dash Punctuation 214
 
0.2%
Other Symbol 60
 
0.1%
Other values (2) 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
에 3973
 
4.9%
위 3241
 
4.0%
치 3215
 
3.9%
로 2352
 
2.9%
함 2188
 
2.7%
구 2022
 
2.5%
도 1922
 
2.4%
앞 1747
 
2.1%
동 1542
 
1.9%
지 1510
 
1.9%
Other values (689) 57775
70.9%
Uppercase Letter
ValueCountFrequency (%)
M 358
16.4%
L 322
14.8%
C 231
10.6%
S 219
10.1%
A 181
8.3%
O 128
 
5.9%
N 115
 
5.3%
B 97
 
4.5%
G 89
 
4.1%
P 69
 
3.2%
Other values (15) 370
17.0%
Lowercase Letter
ValueCountFrequency (%)
m 542
91.9%
e 8
 
1.4%
n 5
 
0.8%
t 5
 
0.8%
a 5
 
0.8%
c 4
 
0.7%
v 3
 
0.5%
i 2
 
0.3%
l 2
 
0.3%
s 2
 
0.3%
Other values (8) 12
 
2.0%
Decimal Number
ValueCountFrequency (%)
1 1227
20.6%
0 963
16.1%
2 841
14.1%
3 633
10.6%
5 604
10.1%
4 477
 
8.0%
6 336
 
5.6%
7 319
 
5.3%
8 292
 
4.9%
9 274
 
4.6%
Other Punctuation
ValueCountFrequency (%)
. 1581
77.4%
: 318
 
15.6%
' 81
 
4.0%
, 51
 
2.5%
" 6
 
0.3%
/ 3
 
0.1%
& 2
 
0.1%
# 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 4
80.0%
+ 1
 
20.0%
Space Separator
ValueCountFrequency (%)
16911
100.0%
Open Punctuation
ValueCountFrequency (%)
( 586
100.0%
Close Punctuation
ValueCountFrequency (%)
) 586
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 214
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 60
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 81547
73.7%
Common 26311
 
23.8%
Latin 2770
 
2.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
에 3973
 
4.9%
위 3241
 
4.0%
치 3215
 
3.9%
로 2352
 
2.9%
함 2188
 
2.7%
구 2022
 
2.5%
도 1922
 
2.4%
앞 1747
 
2.1%
동 1542
 
1.9%
지 1510
 
1.9%
Other values (690) 57835
70.9%
Latin
ValueCountFrequency (%)
m 542
19.6%
M 358
12.9%
L 322
11.6%
C 231
8.3%
S 219
7.9%
A 181
 
6.5%
O 128
 
4.6%
N 115
 
4.2%
B 97
 
3.5%
G 89
 
3.2%
Other values (34) 488
17.6%
Common
ValueCountFrequency (%)
16911
64.3%
. 1581
 
6.0%
1 1227
 
4.7%
0 963
 
3.7%
2 841
 
3.2%
3 633
 
2.4%
5 604
 
2.3%
( 586
 
2.2%
) 586
 
2.2%
4 477
 
1.8%
Other values (14) 1902
 
7.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 81484
73.7%
ASCII 29080
 
26.3%
None 60
 
0.1%
Compat Jamo 3
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
16911
58.2%
. 1581
 
5.4%
1 1227
 
4.2%
0 963
 
3.3%
2 841
 
2.9%
3 633
 
2.2%
5 604
 
2.1%
( 586
 
2.0%
) 586
 
2.0%
m 542
 
1.9%
Other values (57) 4606
 
15.8%
Hangul
ValueCountFrequency (%)
에 3973
 
4.9%
위 3241
 
4.0%
치 3215
 
3.9%
로 2352
 
2.9%
함 2188
 
2.7%
구 2022
 
2.5%
도 1922
 
2.4%
앞 1747
 
2.1%
동 1542
 
1.9%
지 1510
 
1.9%
Other values (687) 57772
70.9%
None
ValueCountFrequency (%)
㈜ 60
100.0%
Compat Jamo
ValueCountFrequency (%)
ㄷ 2
66.7%
ㅌ 1
33.3%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

측량시기
Text

Distinct71
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size32.8 KiB
2024-04-30T07:48:35.485181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length6.8563906
Min length4

Characters and Unicode

Total characters28646
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)0.1%

Sample

1st row2014-11
2nd row2014-11
3rd row2014-11
4th row2014-11
5th row2014-11
ValueCountFrequency (%)
2010-06 434
 
10.4%
2010-01 425
 
10.2%
2009-11 423
 
10.1%
2010-05 346
 
8.3%
2014-11 272
 
6.5%
2009 183
 
4.4%
2011-06 123
 
2.9%
2015-03 115
 
2.8%
2014-07 110
 
2.6%
2015-09 101
 
2.4%
Other values (61) 1646
39.4%
2024-04-30T07:48:35.839777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 9102
31.8%
1 6533
22.8%
2 4818
16.8%
- 3994
13.9%
9 899
 
3.1%
5 789
 
2.8%
4 768
 
2.7%
6 698
 
2.4%
3 588
 
2.1%
7 323
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 24652
86.1%
Dash Punctuation 3994
 
13.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 9102
36.9%
1 6533
26.5%
2 4818
19.5%
9 899
 
3.6%
5 789
 
3.2%
4 768
 
3.1%
6 698
 
2.8%
3 588
 
2.4%
7 323
 
1.3%
8 134
 
0.5%
Dash Punctuation
ValueCountFrequency (%)
- 3994
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 28646
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 9102
31.8%
1 6533
22.8%
2 4818
16.8%
- 3994
13.9%
9 899
 
3.1%
5 789
 
2.8%
4 768
 
2.7%
6 698
 
2.4%
3 588
 
2.1%
7 323
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 28646
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 9102
31.8%
1 6533
22.8%
2 4818
16.8%
- 3994
13.9%
9 899
 
3.1%
5 789
 
2.8%
4 768
 
2.7%
6 698
 
2.4%
3 588
 
2.1%
7 323
 
1.1%

고시일자
Date

MISSING 

Distinct52
Distinct (%)4.0%
Missing2890
Missing (%)69.2%
Memory size32.8 KiB
Minimum2010-04-01 00:00:00
Maximum2017-11-30 00:00:00
2024-04-30T07:48:35.965697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:48:36.274281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

고시번호
Text

MISSING 

Distinct58
Distinct (%)4.5%
Missing2890
Missing (%)69.2%
Memory size32.8 KiB
2024-04-30T07:48:36.476177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length8.2212733
Min length6

Characters and Unicode

Total characters10589
Distinct characters14
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

Unique4 ?
Unique (%)0.3%

Sample

1st row2015-1033
2nd row2015-1033
3rd row2015-1033
4th row2015-1033
5th row2015-1033
ValueCountFrequency (%)
2015-1033 252
19.6%
2015-57 87
 
6.8%
2016-271 79
 
6.1%
2011-816 69
 
5.4%
2012-716 61
 
4.7%
2014-1153 58
 
4.5%
2010-708 55
 
4.3%
2014-696 43
 
3.3%
2011-281 39
 
3.0%
2013-654 37
 
2.9%
Other values (48) 508
39.4%
2024-04-30T07:48:36.834955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 2394
22.6%
0 1912
18.1%
2 1786
16.9%
- 1288
12.2%
5 806
 
7.6%
3 711
 
6.7%
6 458
 
4.3%
4 401
 
3.8%
7 314
 
3.0%
8 270
 
2.5%
Other values (4) 249
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9241
87.3%
Dash Punctuation 1288
 
12.2%
Lowercase Letter 40
 
0.4%
Uppercase Letter 20
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 2394
25.9%
0 1912
20.7%
2 1786
19.3%
5 806
 
8.7%
3 711
 
7.7%
6 458
 
5.0%
4 401
 
4.3%
7 314
 
3.4%
8 270
 
2.9%
9 189
 
2.0%
Lowercase Letter
ValueCountFrequency (%)
a 20
50.0%
n 20
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 1288
100.0%
Uppercase Letter
ValueCountFrequency (%)
J 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10529
99.4%
Latin 60
 
0.6%

Most frequent character per script

Common
ValueCountFrequency (%)
1 2394
22.7%
0 1912
18.2%
2 1786
17.0%
- 1288
12.2%
5 806
 
7.7%
3 711
 
6.8%
6 458
 
4.3%
4 401
 
3.8%
7 314
 
3.0%
8 270
 
2.6%
Latin
ValueCountFrequency (%)
J 20
33.3%
a 20
33.3%
n 20
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10589
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 2394
22.6%
0 1912
18.1%
2 1786
16.9%
- 1288
12.2%
5 806
 
7.6%
3 711
 
6.7%
6 458
 
4.3%
4 401
 
3.8%
7 314
 
3.0%
8 270
 
2.5%
Other values (4) 249
 
2.4%

점의상태
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size32.8 KiB
양호
4150 
망실
 
28

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
양호 4150
99.3%
망실 28
 
0.7%

Length

2024-04-30T07:48:36.994579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T07:48:37.105742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
양호 4150
99.3%
망실 28
 
0.7%

기준타원체
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size32.8 KiB
GRS80
4178 

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 4178
100.0%

Length

2024-04-30T07:48:37.210966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T07:48:37.318104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
grs80 4178
100.0%

종축X좌표
Real number (ℝ)

Distinct4177
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean290226.63
Minimum188734.06
Maximum409171.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.8 KiB
2024-04-30T07:48:37.442775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum188734.06
5-th percentile275983.94
Q1280966.84
median285482.34
Q3291521.59
95-th percentile308383.81
Maximum409171.7
Range220437.64
Interquartile range (IQR)10554.745

Descriptive statistics

Standard deviation21640.286
Coefficient of variation (CV)0.074563407
Kurtosis14.498006
Mean290226.63
Median Absolute Deviation (MAD)5290.1083
Skewness3.2498726
Sum1.2125669 × 109
Variance4.6830198 × 108
MonotonicityNot monotonic
2024-04-30T07:48:37.581912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
284132.599 2
 
< 0.1%
300157.368 1
 
< 0.1%
298796.993 1
 
< 0.1%
298857.45 1
 
< 0.1%
298998.371 1
 
< 0.1%
299107.123 1
 
< 0.1%
299879.866 1
 
< 0.1%
299966.374 1
 
< 0.1%
285675.157 1
 
< 0.1%
283919.841 1
 
< 0.1%
Other values (4167) 4167
99.7%
ValueCountFrequency (%)
188734.0594 1
< 0.1%
189006.1968 1
< 0.1%
189194.0543 1
< 0.1%
189379.2245 1
< 0.1%
189552.7311 1
< 0.1%
196225.7171 1
< 0.1%
196342.9394 1
< 0.1%
196441.9324 1
< 0.1%
196516.0422 1
< 0.1%
196569.8444 1
< 0.1%
ValueCountFrequency (%)
409171.703 1
< 0.1%
408909.946 1
< 0.1%
405019.001 1
< 0.1%
404936.951 1
< 0.1%
402658.433 1
< 0.1%
402565.17 1
< 0.1%
402366.697 1
< 0.1%
402169.383 1
< 0.1%
401622.674 1
< 0.1%
401466.046 1
< 0.1%

횡축Y좌표
Real number (ℝ)

Distinct4177
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean205908.8
Minimum180613.54
Maximum225890.02
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.8 KiB
2024-04-30T07:48:37.720934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum180613.54
5-th percentile189644.24
Q1200485.91
median205202.01
Q3210946.66
95-th percentile221787.34
Maximum225890.02
Range45276.486
Interquartile range (IQR)10460.746

Descriptive statistics

Standard deviation8984.1795
Coefficient of variation (CV)0.043631839
Kurtosis-0.042602572
Mean205908.8
Median Absolute Deviation (MAD)5288.7115
Skewness-0.051934104
Sum8.6028695 × 108
Variance80715480
MonotonicityNot monotonic
2024-04-30T07:48:37.856358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
205688.161 2
 
< 0.1%
199914.125 1
 
< 0.1%
201192.525 1
 
< 0.1%
201137.684 1
 
< 0.1%
201004.799 1
 
< 0.1%
200902.22 1
 
< 0.1%
200181.143 1
 
< 0.1%
200099.877 1
 
< 0.1%
203758.917 1
 
< 0.1%
203424.137 1
 
< 0.1%
Other values (4167) 4167
99.7%
ValueCountFrequency (%)
180613.5381 1
< 0.1%
180761.6159 1
< 0.1%
181009.6632 1
< 0.1%
181404.5406 1
< 0.1%
181491.7873 1
< 0.1%
181512.46 1
< 0.1%
181821.5616 1
< 0.1%
181832.6568 1
< 0.1%
181862.0448 1
< 0.1%
181876.8219 1
< 0.1%
ValueCountFrequency (%)
225890.0238 1
< 0.1%
225674.34 1
< 0.1%
225493.491 1
< 0.1%
225429.369 1
< 0.1%
225386.197 1
< 0.1%
225372.865 1
< 0.1%
224816.015 1
< 0.1%
224734.158 1
< 0.1%
224603.91 1
< 0.1%
224515.694 1
< 0.1%

정표고
Real number (ℝ)

Distinct4021
Distinct (%)96.8%
Missing22
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean33.083099
Minimum0.499
Maximum316.196
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.8 KiB
2024-04-30T07:48:37.995246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.499
5-th percentile2.01875
Q14.7996
median19.635
Q350.64125
95-th percentile102.3553
Maximum316.196
Range315.697
Interquartile range (IQR)45.84165

Descriptive statistics

Standard deviation36.349602
Coefficient of variation (CV)1.0987363
Kurtosis5.7852113
Mean33.083099
Median Absolute Deviation (MAD)16.39915
Skewness1.8933655
Sum137493.36
Variance1321.2935
MonotonicityNot monotonic
2024-04-30T07:48:38.155157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13.202 3
 
0.1%
3.024 3
 
0.1%
8.171 3
 
0.1%
19.635 3
 
0.1%
4.844 3
 
0.1%
34.702 3
 
0.1%
2.86 3
 
0.1%
15.812 2
 
< 0.1%
4.064 2
 
< 0.1%
3.476 2
 
< 0.1%
Other values (4011) 4129
98.8%
(Missing) 22
 
0.5%
ValueCountFrequency (%)
0.499 1
< 0.1%
0.53 1
< 0.1%
0.782 1
< 0.1%
0.788 1
< 0.1%
0.7961 1
< 0.1%
0.8127 1
< 0.1%
0.843 1
< 0.1%
0.873 1
< 0.1%
0.874 1
< 0.1%
0.8761 1
< 0.1%
ValueCountFrequency (%)
316.196 1
< 0.1%
298.727 1
< 0.1%
289.383 1
< 0.1%
285.004 1
< 0.1%
278.0925 1
< 0.1%
263.9502 1
< 0.1%
255.9706 1
< 0.1%
241.0566 1
< 0.1%
239.5821 1
< 0.1%
237.5703 1
< 0.1%

직각좌표계원점
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size32.8 KiB
<NA>
2106 
동부
2072 

Length

Max length4
Median length4
Mean length3.0081379
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2106
50.4%
동부 2072
49.6%

Length

2024-04-30T07:48:38.308218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T07:48:38.409414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2106
50.4%
동부 2072
49.6%

관리기관
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size32.8 KiB
부산시
2110 
도시가스
1072 
한국전력
996 

Length

Max length4
Median length3
Mean length3.4949737
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
부산시 2110
50.5%
도시가스 1072
25.7%
한국전력 996
23.8%

Length

2024-04-30T07:48:38.511704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T07:48:38.614858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산시 2110
50.5%
도시가스 1072
25.7%
한국전력 996
23.8%

Sample

공간정보일련번호관리구분관리번호점의종류점의등급점의명칭도엽명표지상황계획기관소재지위치설명측량시기고시일자고시번호점의상태기준타원체종축X좌표횡축Y좌표정표고직각좌표계원점관리기관
070ZA02120368공공기준점4급CG30부산동판(주)부산도시가스부산광역시 부산진구성산포식당 입구 보도경계석 앞에 위치(새주소 : 백양순환로 147)2014-112015-05-292015-1033양호GRS80285675.157203758.91750.188동부도시가스
171ZA02120369공공기준점4급CG31부산동판(주)부산도시가스부산광역시 부산진구골목입구 전주 옆에 위치(새주소 : 백양대로 78번길)2014-112015-05-292015-1033양호GRS80285090.065203741.17932.887동부도시가스
272ZA02120370공공기준점4급CG32부산동판(주)부산도시가스부산광역시 부산진구SK주유소 입구 보도경계석 코너 앞에 위치(새주소 : 백양대로 78번길)2014-112015-05-292015-1033양호GRS80285068.547203750.15832.18동부도시가스
373ZA02120371공공기준점4급CG33부산동판(주)부산도시가스부산광역시 부산진구도로중앙 화단경계석 코너에 위치(새주소 : 가야대로 703번길 입구)2014-112015-05-292015-1033양호GRS80284758.807204444.8814.775동부도시가스
474ZA02120372공공기준점4급CG34부산동판(주)부산도시가스부산광역시 부산진구장터식당 입구 코너에 위치(새주소 : 가양대로 703번길 11)2014-112015-05-292015-1033양호GRS80284591.622204394.75112.857동부도시가스
575ZA02120373공공기준점4급BG17부산동판(주)부산도시가스부산광역시 북구축복교회 주차장 입구 보도경계석 위에 위치(새주소 : 산성로)2014-112015-05-292015-1033양호GRS80293908.299201804.44918.564동부도시가스
676ZA02120374공공기준점4급BG18부산동판(주)부산도시가스부산광역시 북구청산숯불구이 식당 주차장 입구 보도경계석 앞에 위치 (새주소 : 산성로 55)2014-112015-05-292015-1033양호GRS80293864.38201753.11313.508동부도시가스
777ZA02120375공공기준점4급BG19부산동판(주)부산도시가스부산광역시 북구대승종합철물 앞 횡단보도 끝에 위치(새주소 : 금곡대로)2014-112015-05-292015-1033양호GRS80291445.264200648.8949.808동부도시가스
878ZA02120376공공기준점4급BG20부산동판(주)부산도시가스부산광역시 북구보승빌딩 입구 도로중앙 교통섬 코너에 위치(새주소 : 금곡대로)2014-112015-05-292015-1033양호GRS80291556.63200740.17115.749동부도시가스
979ZA02120377공공기준점4급BG21부산동판(주)부산도시가스부산광역시 북구도로중앙 화단 앞에 위치(새주소 : 낙동대로 1739번길)2014-112015-05-292015-1033양호GRS80290319.808199972.6494.25동부도시가스
공간정보일련번호관리구분관리번호점의종류점의등급점의명칭도엽명표지상황계획기관소재지위치설명측량시기고시일자고시번호점의상태기준타원체종축X좌표횡축Y좌표정표고직각좌표계원점관리기관
41684006ZA02119664공공기준점4급G152부산표시못(주)부산도시가스부산광역시 북구북구 구포동 동원로얄듀크 맞은편 신호등 옆 도로에 위치2016-01<NA><NA>양호GRS80290293.984199929.3614.35동부도시가스
41694007ZA02119665공공기준점4급G153부산표시못(주)부산도시가스부산광역시 해운대구해운대구 반송동878 삼거리중앙 도로에 위치2016-01<NA><NA>양호GRS80292451.809214737.85758.848동부도시가스
41704008ZA02119666공공기준점4급G154부산표시못(주)부산도시가스부산광역시 해운대구해운대구 윗반송로 172 맞은편 보도경계석에 위치2016-01<NA><NA>양호GRS80292392.319214826.4970.904동부도시가스
41714009ZA02119667공공기준점4급G155부산표시못(주)부산도시가스부산광역시 금정구금정구 금사동 145-6 금사주유소 앞 도로에 위치2016-01<NA><NA>양호GRS80290884.313210047.67514.746동부도시가스
41724010ZA02119668공공기준점4급G156부산표시못(주)부산도시가스부산광역시 금정구금정구 반송로 425 금사식당 앞 경계석에 위치2016-01<NA><NA>양호GRS80290912.136210091.95813.556동부도시가스
41734011ZA02119669공공기준점4급G157부산표시못(주)부산도시가스부산광역시 금정구금정구 장전동 부산대학교 후문 주차장 밑 삼거리 도로에위치2016-01<NA><NA>양호GRS80293078.27207574.89132.009동부도시가스
41744012ZA02119670공공기준점4급G158부산표시못(주)부산도시가스부산광역시 금정구금정구 장전동 419-1번지 대성 아트빌 입구 도로에 위치2016-01<NA><NA>양호GRS80293037.142207630.72626.88동부도시가스
41754013ZA02119671공공기준점4급G159부산표시못(주)부산도시가스부산광역시 동래구동래구 온천동 온천장역 산성막걸리 맞은편 역쪽 도로에 위치2016-01<NA><NA>양호GRS80291507.576207888.52911.234동부도시가스
41764014ZA02119672공공기준점4급G160부산표시못(주)부산도시가스부산광역시 동래구동래구 온천동 온천장역 4번출구 뒷편 우측 보차도에 위치2016-01<NA><NA>양호GRS80291566.141207914.54111.697동부도시가스
41774015ZA02120014공공기준점4급CP355김해표시못(주)부산도시가스부산시 사하구미래빌딩 옥토교회 입구에서 북쪽 방향으로 약 52m 지지주 부근2013-02<NA><NA>양호GRS80277263.797197335.6555.572동부도시가스