Overview

Dataset statistics

Number of variables33
Number of observations7930
Missing cells7805
Missing cells (%)3.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.0 MiB
Average record size in memory271.0 B

Variable types

Text7
Categorical15
DateTime1
Numeric7
Boolean3

Dataset

Description서울특별시 용산구 관내에 식재된 가로수의 수목에 대한 기본, 도로, 위치, 생육, 상태, 이미지 정보등을 파일로 제공
Author서울특별시 용산구
URLhttps://www.data.go.kr/data/15109415/fileData.do

Alerts

수목구분 has constant value ""Constant
수목유형 has constant value ""Constant
관리기관전화번호 has constant value ""Constant
관리기관명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
도로종류 has constant value ""Constant
수목명 is highly imbalanced (50.7%)Imbalance
보호틀파손여부 is highly imbalanced (78.7%)Imbalance
뿌리융기여부 is highly imbalanced (69.9%)Imbalance
통기 is highly imbalanced (96.3%)Imbalance
지장물2 is highly imbalanced (73.2%)Imbalance
도로명주소 has 7572 (95.5%) missing valuesMissing
보도폭 has 193 (2.4%) missing valuesMissing
관리번호 has unique valuesUnique
수목전경사진 has unique valuesUnique
보호덮개사진 has unique valuesUnique

Reproduction

Analysis started2023-12-12 22:04:50.600248
Analysis finished2023-12-12 22:04:52.156884
Duration1.56 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

관리번호
Text

UNIQUE 

Distinct7930
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size62.1 KiB
2023-12-13T07:04:52.338109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length17
Mean length13.99773
Min length13

Characters and Unicode

Total characters111002
Distinct characters59
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7930 ?
Unique (%)100.0%

Sample

1st row03-한강대로-가-0861
2nd row03-이촌로-가-0418
3rd row03-소월로-가-0214
4th row03-서빙고로51길-가-0049
5th row03-소월로-가-0079
ValueCountFrequency (%)
03-한강대로-가-0861 1
 
< 0.1%
03-이태원로-가-0069 1
 
< 0.1%
03-효창원로-가-0227 1
 
< 0.1%
03-독서당로-가-0197 1
 
< 0.1%
03-소월로-가-0354 1
 
< 0.1%
03-독서당로-가-0148 1
 
< 0.1%
03-독서당로-가-0074 1
 
< 0.1%
03-백범로-가-0103 1
 
< 0.1%
03-이촌로-가-0691 1
 
< 0.1%
03-한남대로-가-0035 1
 
< 0.1%
Other values (7920) 7920
99.9%
2023-12-13T07:04:52.994637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 23790
21.4%
0 20501
18.5%
3 10614
9.6%
가 8013
 
7.2%
로 7930
 
7.1%
1 3657
 
3.3%
2 2985
 
2.7%
4 2383
 
2.1%
대 2319
 
2.1%
5 2302
 
2.1%
Other values (49) 26508
23.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 49139
44.3%
Other Letter 38073
34.3%
Dash Punctuation 23790
21.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
가 8013
21.0%
로 7930
20.8%
대 2319
 
6.1%
한 1466
 
3.9%
이 1393
 
3.7%
원 1315
 
3.5%
강 1087
 
2.9%
서 1034
 
2.7%
촌 877
 
2.3%
사 853
 
2.2%
Other values (38) 11786
31.0%
Decimal Number
ValueCountFrequency (%)
0 20501
41.7%
3 10614
21.6%
1 3657
 
7.4%
2 2985
 
6.1%
4 2383
 
4.8%
5 2302
 
4.7%
6 1841
 
3.7%
7 1839
 
3.7%
8 1559
 
3.2%
9 1458
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 23790
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 72929
65.7%
Hangul 38073
34.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
가 8013
21.0%
로 7930
20.8%
대 2319
 
6.1%
한 1466
 
3.9%
이 1393
 
3.7%
원 1315
 
3.5%
강 1087
 
2.9%
서 1034
 
2.7%
촌 877
 
2.3%
사 853
 
2.2%
Other values (38) 11786
31.0%
Common
ValueCountFrequency (%)
- 23790
32.6%
0 20501
28.1%
3 10614
14.6%
1 3657
 
5.0%
2 2985
 
4.1%
4 2383
 
3.3%
5 2302
 
3.2%
6 1841
 
2.5%
7 1839
 
2.5%
8 1559
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 72929
65.7%
Hangul 38073
34.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 23790
32.6%
0 20501
28.1%
3 10614
14.6%
1 3657
 
5.0%
2 2985
 
4.1%
4 2383
 
3.3%
5 2302
 
3.2%
6 1841
 
2.5%
7 1839
 
2.5%
8 1559
 
2.1%
Hangul
ValueCountFrequency (%)
가 8013
21.0%
로 7930
20.8%
대 2319
 
6.1%
한 1466
 
3.9%
이 1393
 
3.7%
원 1315
 
3.5%
강 1087
 
2.9%
서 1034
 
2.7%
촌 877
 
2.3%
사 853
 
2.2%
Other values (38) 11786
31.0%

수목명
Categorical

IMBALANCE 

Distinct29
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size62.1 KiB
은행나무
4337 
양버즘나무
1140 
느티나무
807 
이팝나무
 
429
벚나무
 
357
Other values (24)
860 

Length

Max length5
Median length4
Mean length4.0264817
Min length2

Unique

Unique4 ?
Unique (%)0.1%

Sample

1st row느티나무
2nd row느티나무
3rd row은행나무
4th row양버즘나무
5th row은행나무

Common Values

ValueCountFrequency (%)
은행나무 4337
54.7%
양버즘나무 1140
 
14.4%
느티나무 807
 
10.2%
이팝나무 429
 
5.4%
벚나무 357
 
4.5%
단풍나무 132
 
1.7%
목련 124
 
1.6%
복자기 116
 
1.5%
소나무 104
 
1.3%
감나무 94
 
1.2%
Other values (19) 290
 
3.7%

Length

2023-12-13T07:04:53.148486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
은행나무 4337
54.7%
양버즘나무 1140
 
14.4%
느티나무 807
 
10.2%
이팝나무 429
 
5.4%
벚나무 357
 
4.5%
단풍나무 132
 
1.7%
목련 124
 
1.6%
복자기 116
 
1.5%
소나무 104
 
1.3%
감나무 94
 
1.2%
Other values (19) 290
 
3.7%

수목구분
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size62.1 KiB
가로수
7930 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
가로수 7930
100.0%

Length

2023-12-13T07:04:53.305718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:04:53.404751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가로수 7930
100.0%

수목유형
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size62.1 KiB
교목
7930 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
교목 7930
100.0%

Length

2023-12-13T07:04:53.522345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:04:53.634896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
교목 7930
100.0%

식재일
Date

Distinct76
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size62.1 KiB
Minimum1947-04-04 00:00:00
Maximum2022-04-05 00:00:00
2023-12-13T07:04:53.725528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:04:53.852879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

관리기관전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size62.1 KiB
02-2199-7623
7930 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row02-2199-7623
2nd row02-2199-7623
3rd row02-2199-7623
4th row02-2199-7623
5th row02-2199-7623

Common Values

ValueCountFrequency (%)
02-2199-7623 7930
100.0%

Length

2023-12-13T07:04:53.982001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:04:54.091091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
02-2199-7623 7930
100.0%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size62.1 KiB
서울특별시 용산구청
7930 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row서울특별시 용산구청
2nd row서울특별시 용산구청
3rd row서울특별시 용산구청
4th row서울특별시 용산구청
5th row서울특별시 용산구청

Common Values

ValueCountFrequency (%)
서울특별시 용산구청 7930
100.0%

Length

2023-12-13T07:04:54.214520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:04:54.318634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시 7930
50.0%
용산구청 7930
50.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size62.1 KiB
2022-12-08
7930 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-12-08
2nd row2022-12-08
3rd row2022-12-08
4th row2022-12-08
5th row2022-12-08

Common Values

ValueCountFrequency (%)
2022-12-08 7930
100.0%

Length

2023-12-13T07:04:54.428394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:04:54.535365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-12-08 7930
100.0%

도로명
Categorical

Distinct47
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size62.1 KiB
한강대로
912 
녹사평대로
745 
이촌로
716 
소월로
639 
서빙고로
582 
Other values (42)
4336 

Length

Max length8
Median length7
Mean length3.9977301
Min length3

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row한강대로
2nd row이촌로
3rd row소월로
4th row서빙고로51길
5th row소월로

Common Values

ValueCountFrequency (%)
한강대로 912
 
11.5%
녹사평대로 745
 
9.4%
이촌로 716
 
9.0%
소월로 639
 
8.1%
서빙고로 582
 
7.3%
이태원로 516
 
6.5%
한남대로 379
 
4.8%
효창원로 351
 
4.4%
원효로 349
 
4.4%
백범로 301
 
3.8%
Other values (37) 2440
30.8%

Length

2023-12-13T07:04:54.681963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
한강대로 912
 
11.5%
녹사평대로 745
 
9.4%
이촌로 716
 
9.0%
소월로 639
 
8.1%
서빙고로 582
 
7.3%
이태원로 516
 
6.5%
한남대로 379
 
4.8%
효창원로 351
 
4.4%
원효로 349
 
4.4%
백범로 301
 
3.8%
Other values (37) 2440
30.8%

도로종류
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size62.1 KiB
특별시도
7930 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
특별시도 7930
100.0%

Length

2023-12-13T07:04:54.829123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:04:54.955154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
특별시도 7930
100.0%

도로시작점
Categorical

Distinct46
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size62.1 KiB
서울특별시 용산구 이촌동 372
912 
서울특별시 용산구 서빙고동 287-3
745 
서울특별시 용산구 한강로3가 16-70
716 
서울특별시 용산구 후암동 447-1
662 
서울특별시 용산구 한강로3가 65-206
582 
Other values (41)
4313 

Length

Max length22
Median length20
Mean length19.44401
Min length16

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row서울특별시 용산구 이촌동 372
2nd row서울특별시 용산구 한강로3가 16-70
3rd row서울특별시 용산구 후암동 447-1
4th row서울특별시 용산구 서빙고동 235-86
5th row서울특별시 용산구 후암동 447-1

Common Values

ValueCountFrequency (%)
서울특별시 용산구 이촌동 372 912
 
11.5%
서울특별시 용산구 서빙고동 287-3 745
 
9.4%
서울특별시 용산구 한강로3가 16-70 716
 
9.0%
서울특별시 용산구 후암동 447-1 662
 
8.3%
서울특별시 용산구 한강로3가 65-206 582
 
7.3%
서울특별시 용산구 한강로1가 116-7 516
 
6.5%
서울특별시 용산구 한남동 782 379
 
4.8%
서울특별시 용산구 원효로4가 142-3 351
 
4.4%
서울특별시 용산구 청암동 168-46 349
 
4.4%
서울특별시 마포구 노고산동 31-6 301
 
3.8%
Other values (36) 2417
30.5%

Length

2023-12-13T07:04:55.081251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
서울특별시 7930
25.0%
용산구 7502
23.7%
한강로3가 1376
 
4.3%
이촌동 1277
 
4.0%
372 912
 
2.9%
서빙고동 868
 
2.7%
후암동 824
 
2.6%
한남동 814
 
2.6%
287-3 745
 
2.3%
16-70 716
 
2.3%
Other values (64) 8752
27.6%

도로종료점
Categorical

Distinct46
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size62.1 KiB
서울특별시 용산구 동자동 43-218
912 
서울특별시 용산구 후암동 산 1-2
745 
서울특별시 용산구 서빙고동 271-105
716 
서울특별시 용산구 한남동 726-94
639 
서울특별시 용산구 한남동 773-17
582 
Other values (41)
4336 

Length

Max length22
Median length21
Mean length19.924716
Min length16

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row서울특별시 용산구 동자동 43-218
2nd row서울특별시 용산구 서빙고동 271-105
3rd row서울특별시 용산구 한남동 726-94
4th row서울특별시 용산구 용산동6가 14-2
5th row서울특별시 용산구 한남동 726-94

Common Values

ValueCountFrequency (%)
서울특별시 용산구 동자동 43-218 912
 
11.5%
서울특별시 용산구 후암동 산 1-2 745
 
9.4%
서울특별시 용산구 서빙고동 271-105 716
 
9.0%
서울특별시 용산구 한남동 726-94 639
 
8.1%
서울특별시 용산구 한남동 773-17 582
 
7.3%
서울특별시 용산구 한남동 산 10-33 516
 
6.5%
서울특별시 용산구 한남동 산 9-19 379
 
4.8%
서울특별시 용산구 서계동 266-1 351
 
4.4%
서울특별시 용산구 원효로1가 110-2 349
 
4.4%
서울특별시 용산구 한강로1가 97 301
 
3.8%
Other values (36) 2440
30.8%

Length

2023-12-13T07:04:55.239615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
서울특별시 7930
23.8%
용산구 7483
22.4%
한남동 2577
 
7.7%
산 1640
 
4.9%
후암동 979
 
2.9%
동자동 949
 
2.8%
43-218 912
 
2.7%
1-2 745
 
2.2%
서빙고동 716
 
2.1%
271-105 716
 
2.1%
Other values (61) 8692
26.1%

수목위치
Text

Distinct2539
Distinct (%)32.0%
Missing0
Missing (%)0.0%
Memory size62.1 KiB
2023-12-13T07:04:55.516389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length17
Mean length8.9965952
Min length3

Characters and Unicode

Total characters71343
Distinct characters754
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1504 ?
Unique (%)19.0%

Sample

1st row용산푸르지오써밋 앞
2nd row신동아아파트 앞
3rd row남산야외식물원 맞은편
4th row한강중학교 뒤
5th row독일문화원 앞
ValueCountFrequency (%)
앞 6247
36.0%
맞은편 1013
 
5.8%
용산미군기지 565
 
3.3%
옆 297
 
1.7%
정류장 292
 
1.7%
이촌 233
 
1.3%
남산공원 228
 
1.3%
한강중학교 99
 
0.6%
뒤 95
 
0.5%
리버힐삼성아파트 85
 
0.5%
Other values (2426) 8199
47.2%
2023-12-13T07:04:55.995584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9631
 
13.5%
앞 6368
 
8.9%
산 2199
 
3.1%
용 1557
 
2.2%
은 1170
 
1.6%
파 1156
 
1.6%
아 1140
 
1.6%
트 1134
 
1.6%
편 1110
 
1.6%
원 1073
 
1.5%
Other values (744) 44805
62.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 58010
81.3%
Space Separator 9631
 
13.5%
Decimal Number 1416
 
2.0%
Uppercase Letter 1257
 
1.8%
Lowercase Letter 950
 
1.3%
Dash Punctuation 46
 
0.1%
Other Punctuation 11
 
< 0.1%
Close Punctuation 9
 
< 0.1%
Open Punctuation 9
 
< 0.1%
Math Symbol 2
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
앞 6368
 
11.0%
산 2199
 
3.8%
용 1557
 
2.7%
은 1170
 
2.0%
파 1156
 
2.0%
아 1140
 
2.0%
트 1134
 
2.0%
편 1110
 
1.9%
원 1073
 
1.8%
지 1064
 
1.8%
Other values (672) 40039
69.0%
Uppercase Letter
ValueCountFrequency (%)
G 122
 
9.7%
S 121
 
9.6%
C 120
 
9.5%
K 112
 
8.9%
B 100
 
8.0%
L 76
 
6.0%
A 72
 
5.7%
N 67
 
5.3%
I 57
 
4.5%
M 55
 
4.4%
Other values (16) 355
28.2%
Lowercase Letter
ValueCountFrequency (%)
e 113
11.9%
a 105
 
11.1%
r 82
 
8.6%
o 78
 
8.2%
l 62
 
6.5%
i 60
 
6.3%
s 57
 
6.0%
u 46
 
4.8%
t 44
 
4.6%
d 35
 
3.7%
Other values (16) 268
28.2%
Decimal Number
ValueCountFrequency (%)
1 392
27.7%
2 294
20.8%
3 178
12.6%
5 166
11.7%
4 86
 
6.1%
0 72
 
5.1%
6 63
 
4.4%
7 60
 
4.2%
9 57
 
4.0%
8 48
 
3.4%
Other Punctuation
ValueCountFrequency (%)
& 6
54.5%
. 3
27.3%
: 2
 
18.2%
Space Separator
ValueCountFrequency (%)
9631
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 58010
81.3%
Common 11126
 
15.6%
Latin 2207
 
3.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
앞 6368
 
11.0%
산 2199
 
3.8%
용 1557
 
2.7%
은 1170
 
2.0%
파 1156
 
2.0%
아 1140
 
2.0%
트 1134
 
2.0%
편 1110
 
1.9%
원 1073
 
1.8%
지 1064
 
1.8%
Other values (672) 40039
69.0%
Latin
ValueCountFrequency (%)
G 122
 
5.5%
S 121
 
5.5%
C 120
 
5.4%
e 113
 
5.1%
K 112
 
5.1%
a 105
 
4.8%
B 100
 
4.5%
r 82
 
3.7%
o 78
 
3.5%
L 76
 
3.4%
Other values (42) 1178
53.4%
Common
ValueCountFrequency (%)
9631
86.6%
1 392
 
3.5%
2 294
 
2.6%
3 178
 
1.6%
5 166
 
1.5%
4 86
 
0.8%
0 72
 
0.6%
6 63
 
0.6%
7 60
 
0.5%
9 57
 
0.5%
Other values (10) 127
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 58010
81.3%
ASCII 13332
 
18.7%
Punctuation 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9631
72.2%
1 392
 
2.9%
2 294
 
2.2%
3 178
 
1.3%
5 166
 
1.2%
G 122
 
0.9%
S 121
 
0.9%
C 120
 
0.9%
e 113
 
0.8%
K 112
 
0.8%
Other values (61) 2083
 
15.6%
Hangul
ValueCountFrequency (%)
앞 6368
 
11.0%
산 2199
 
3.8%
용 1557
 
2.7%
은 1170
 
2.0%
파 1156
 
2.0%
아 1140
 
2.0%
트 1134
 
2.0%
편 1110
 
1.9%
원 1073
 
1.8%
지 1064
 
1.8%
Other values (672) 40039
69.0%
Punctuation
ValueCountFrequency (%)
’ 1
100.0%

수목위도
Real number (ℝ)

Distinct7675
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.535261
Minimum37.516763
Maximum37.555187
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size69.8 KiB
2023-12-13T07:04:56.169858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.516763
5-th percentile37.52026
Q137.528196
median37.535099
Q337.541619
95-th percentile37.550867
Maximum37.555187
Range0.03842453
Interquartile range (IQR)0.013422805

Descriptive statistics

Standard deviation0.0091768805
Coefficient of variation (CV)0.00024448692
Kurtosis-0.76206118
Mean37.535261
Median Absolute Deviation (MAD)0.00672311
Skewness0.012285357
Sum297654.62
Variance8.4215136 × 10-5
MonotonicityNot monotonic
2023-12-13T07:04:56.349136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.51992798 6
 
0.1%
37.541008 6
 
0.1%
37.52042007 5
 
0.1%
37.52041626 5
 
0.1%
37.5549202 4
 
0.1%
37.52509689 4
 
0.1%
37.53497477 3
 
< 0.1%
37.54122543 3
 
< 0.1%
37.5381546 3
 
< 0.1%
37.52785873 3
 
< 0.1%
Other values (7665) 7888
99.5%
ValueCountFrequency (%)
37.5167627 1
< 0.1%
37.5168354 1
< 0.1%
37.5169066 1
< 0.1%
37.516922 1
< 0.1%
37.51700974 1
< 0.1%
37.517076 1
< 0.1%
37.51708221 1
< 0.1%
37.51715469 1
< 0.1%
37.5171564 1
< 0.1%
37.51721573 1
< 0.1%
ValueCountFrequency (%)
37.55518723 1
< 0.1%
37.55517261 1
< 0.1%
37.55514956 1
< 0.1%
37.55512705 1
< 0.1%
37.55511068 1
< 0.1%
37.55508652 1
< 0.1%
37.55506564 1
< 0.1%
37.55504824 1
< 0.1%
37.55501497 1
< 0.1%
37.5550033 1
< 0.1%

수목경도
Real number (ℝ)

Distinct7617
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.97873
Minimum126.94482
Maximum127.01268
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size69.8 KiB
2023-12-13T07:04:56.527225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.94482
5-th percentile126.95462
Q1126.96711
median126.97581
Q3126.99098
95-th percentile127.00659
Maximum127.01268
Range0.0678599
Interquartile range (IQR)0.0238677

Descriptive statistics

Standard deviation0.015997737
Coefficient of variation (CV)0.00012598753
Kurtosis-0.88847794
Mean126.97873
Median Absolute Deviation (MAD)0.01205435
Skewness0.25477595
Sum1006941.3
Variance0.00025592758
MonotonicityNot monotonic
2023-12-13T07:04:56.698496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.9707335 5
 
0.1%
126.9865074 4
 
0.1%
127.0042267 4
 
0.1%
126.9689026 4
 
0.1%
126.968895 4
 
0.1%
126.9856415 4
 
0.1%
126.9684448 4
 
0.1%
126.9865981 4
 
0.1%
126.9728622 3
 
< 0.1%
126.9787521 3
 
< 0.1%
Other values (7607) 7891
99.5%
ValueCountFrequency (%)
126.9448224 1
< 0.1%
126.9449111 1
< 0.1%
126.9451547 1
< 0.1%
126.9452254 1
< 0.1%
126.9452754 1
< 0.1%
126.945448 1
< 0.1%
126.9456798 1
< 0.1%
126.9457703 1
< 0.1%
126.9459554 1
< 0.1%
126.9461575 1
< 0.1%
ValueCountFrequency (%)
127.0126823 1
< 0.1%
127.0126809 2
< 0.1%
127.0126738 1
< 0.1%
127.0126681 1
< 0.1%
127.0126653 1
< 0.1%
127.0126597 1
< 0.1%
127.0126256 1
< 0.1%
127.0125761 1
< 0.1%
127.0125365 1
< 0.1%
127.0124575 1
< 0.1%

도로명주소
Text

MISSING 

Distinct97
Distinct (%)27.1%
Missing7572
Missing (%)95.5%
Memory size62.1 KiB
2023-12-13T07:04:56.958877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length20
Mean length17.918994
Min length16

Characters and Unicode

Total characters6415
Distinct characters60
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

Unique56 ?
Unique (%)15.6%

Sample

1st row서울특별시 용산구 원효로 258
2nd row서울특별시 용산구 녹사평대로 286
3rd row서울특별시 용산구 한강대로 184
4th row서울특별시 용산구 한강대로 95
5th row서울특별시 용산구 대사관로12길 4-8
ValueCountFrequency (%)
서울특별시 358
24.8%
용산구 358
24.8%
서빙고로 50
 
3.5%
효창원로 35
 
2.4%
이촌로 30
 
2.1%
17 28
 
1.9%
한강대로 23
 
1.6%
35 23
 
1.6%
이촌로87길 23
 
1.6%
대사관로 21
 
1.5%
Other values (112) 493
34.2%
2023-12-13T07:04:57.283611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1084
16.9%
서 412
 
6.4%
용 358
 
5.6%
로 358
 
5.6%
구 358
 
5.6%
산 358
 
5.6%
울 358
 
5.6%
시 358
 
5.6%
별 358
 
5.6%
특 358
 
5.6%
Other values (50) 2055
32.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4266
66.5%
Space Separator 1084
 
16.9%
Decimal Number 1042
 
16.2%
Dash Punctuation 23
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 412
9.7%
용 358
8.4%
로 358
8.4%
구 358
8.4%
산 358
8.4%
울 358
8.4%
시 358
8.4%
별 358
8.4%
특 358
8.4%
이 107
 
2.5%
Other values (38) 883
20.7%
Decimal Number
ValueCountFrequency (%)
1 207
19.9%
3 117
11.2%
2 111
10.7%
7 109
10.5%
5 102
9.8%
4 96
9.2%
0 91
8.7%
6 79
 
7.6%
8 67
 
6.4%
9 63
 
6.0%
Space Separator
ValueCountFrequency (%)
1084
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4266
66.5%
Common 2149
33.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 412
9.7%
용 358
8.4%
로 358
8.4%
구 358
8.4%
산 358
8.4%
울 358
8.4%
시 358
8.4%
별 358
8.4%
특 358
8.4%
이 107
 
2.5%
Other values (38) 883
20.7%
Common
ValueCountFrequency (%)
1084
50.4%
1 207
 
9.6%
3 117
 
5.4%
2 111
 
5.2%
7 109
 
5.1%
5 102
 
4.7%
4 96
 
4.5%
0 91
 
4.2%
6 79
 
3.7%
8 67
 
3.1%
Other values (2) 86
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4266
66.5%
ASCII 2149
33.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1084
50.4%
1 207
 
9.6%
3 117
 
5.4%
2 111
 
5.2%
7 109
 
5.1%
5 102
 
4.7%
4 96
 
4.5%
0 91
 
4.2%
6 79
 
3.7%
8 67
 
3.1%
Other values (2) 86
 
4.0%
Hangul
ValueCountFrequency (%)
서 412
9.7%
용 358
8.4%
로 358
8.4%
구 358
8.4%
산 358
8.4%
울 358
8.4%
시 358
8.4%
별 358
8.4%
특 358
8.4%
이 107
 
2.5%
Other values (38) 883
20.7%

지번주소
Text

Distinct1422
Distinct (%)17.9%
Missing0
Missing (%)0.0%
Memory size62.1 KiB
2023-12-13T07:04:57.659065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length21
Mean length19.582976
Min length15

Characters and Unicode

Total characters155293
Distinct characters50
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

Unique537 ?
Unique (%)6.8%

Sample

1st row서울특별시 용산구 한강로2가 361-1
2nd row서울특별시 용산구 서빙고동 241-105
3rd row서울특별시 용산구 이태원2동 260-381
4th row서울특별시 용산구 서빙고동 4-2
5th row서울특별시 용산구 후암동 339-24
ValueCountFrequency (%)
용산구 7930
24.9%
서울특별시 7925
24.8%
한남동 1204
 
3.8%
이촌동 680
 
2.1%
후암동 493
 
1.5%
이태원동 452
 
1.4%
용산동2가 447
 
1.4%
한강로3가 431
 
1.4%
한강로2가 316
 
1.0%
301-5 297
 
0.9%
Other values (1369) 11723
36.8%
2023-12-13T07:04:58.133177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
23968
15.4%
산 9453
 
6.1%
용 9388
 
6.0%
서 8319
 
5.4%
구 7930
 
5.1%
울 7930
 
5.1%
특 7925
 
5.1%
별 7925
 
5.1%
시 7925
 
5.1%
1 7321
 
4.7%
Other values (40) 57209
36.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 91345
58.8%
Decimal Number 33068
 
21.3%
Space Separator 23968
 
15.4%
Dash Punctuation 6912
 
4.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 9453
10.3%
용 9388
10.3%
서 8319
9.1%
구 7930
8.7%
울 7930
8.7%
특 7925
8.7%
별 7925
8.7%
시 7925
8.7%
동 6758
7.4%
가 3039
 
3.3%
Other values (28) 14753
16.2%
Decimal Number
ValueCountFrequency (%)
1 7321
22.1%
2 5264
15.9%
3 4113
12.4%
4 3248
9.8%
6 2829
 
8.6%
5 2718
 
8.2%
7 2219
 
6.7%
0 2041
 
6.2%
8 1728
 
5.2%
9 1587
 
4.8%
Space Separator
ValueCountFrequency (%)
23968
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6912
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 91345
58.8%
Common 63948
41.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 9453
10.3%
용 9388
10.3%
서 8319
9.1%
구 7930
8.7%
울 7930
8.7%
특 7925
8.7%
별 7925
8.7%
시 7925
8.7%
동 6758
7.4%
가 3039
 
3.3%
Other values (28) 14753
16.2%
Common
ValueCountFrequency (%)
23968
37.5%
1 7321
 
11.4%
- 6912
 
10.8%
2 5264
 
8.2%
3 4113
 
6.4%
4 3248
 
5.1%
6 2829
 
4.4%
5 2718
 
4.3%
7 2219
 
3.5%
0 2041
 
3.2%
Other values (2) 3315
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 91345
58.8%
ASCII 63948
41.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
23968
37.5%
1 7321
 
11.4%
- 6912
 
10.8%
2 5264
 
8.2%
3 4113
 
6.4%
4 3248
 
5.1%
6 2829
 
4.4%
5 2718
 
4.3%
7 2219
 
3.5%
0 2041
 
3.2%
Other values (2) 3315
 
5.2%
Hangul
ValueCountFrequency (%)
산 9453
10.3%
용 9388
10.3%
서 8319
9.1%
구 7930
8.7%
울 7930
8.7%
특 7925
8.7%
별 7925
8.7%
시 7925
8.7%
동 6758
7.4%
가 3039
 
3.3%
Other values (28) 14753
16.2%

행정동
Categorical

Distinct16
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size62.1 KiB
한남동
1206 
한강로동
1133 
용산2가동
672 
서빙고동
659 
남영동
589 
Other values (11)
3671 

Length

Max length5
Median length4
Mean length3.8390921
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row한강로동
2nd row서빙고동
3rd row이태원2동
4th row서빙고동
5th row후암동

Common Values

ValueCountFrequency (%)
한남동 1206
15.2%
한강로동 1133
14.3%
용산2가동 672
8.5%
서빙고동 659
8.3%
남영동 589
7.4%
이촌1동 500
 
6.3%
원효로1동 498
 
6.3%
후암동 493
 
6.2%
원효로2동 424
 
5.3%
청파동 407
 
5.1%
Other values (6) 1349
17.0%

Length

2023-12-13T07:04:58.273552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
한남동 1206
15.2%
한강로동 1133
14.3%
용산2가동 672
8.5%
서빙고동 659
8.3%
남영동 589
7.4%
이촌1동 500
 
6.3%
원효로1동 498
 
6.3%
후암동 493
 
6.2%
원효로2동 424
 
5.3%
청파동 407
 
5.1%
Other values (6) 1349
17.0%

흉고직경
Real number (ℝ)

Distinct82
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.28714628
Minimum0.02
Maximum1.02
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size69.8 KiB
2023-12-13T07:04:58.398043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.02
5-th percentile0.09
Q10.19
median0.28
Q30.37
95-th percentile0.53
Maximum1.02
Range1
Interquartile range (IQR)0.18

Descriptive statistics

Standard deviation0.13270735
Coefficient of variation (CV)0.46215938
Kurtosis0.35549378
Mean0.28714628
Median Absolute Deviation (MAD)0.09
Skewness0.54919119
Sum2277.07
Variance0.01761124
MonotonicityNot monotonic
2023-12-13T07:04:58.520819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.18 277
 
3.5%
0.25 274
 
3.5%
0.23 245
 
3.1%
0.33 239
 
3.0%
0.32 238
 
3.0%
0.28 235
 
3.0%
0.29 230
 
2.9%
0.21 227
 
2.9%
0.19 224
 
2.8%
0.22 220
 
2.8%
Other values (72) 5521
69.6%
ValueCountFrequency (%)
0.02 1
 
< 0.1%
0.03 10
 
0.1%
0.04 57
0.7%
0.05 51
 
0.6%
0.06 71
0.9%
0.07 87
1.1%
0.08 96
1.2%
0.09 96
1.2%
0.1 89
1.1%
0.11 133
1.7%
ValueCountFrequency (%)
1.02 2
 
< 0.1%
0.86 2
 
< 0.1%
0.83 1
 
< 0.1%
0.8 2
 
< 0.1%
0.79 1
 
< 0.1%
0.78 2
 
< 0.1%
0.77 1
 
< 0.1%
0.76 1
 
< 0.1%
0.75 4
0.1%
0.74 5
0.1%

근원직경
Real number (ℝ)

Distinct96
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.34726734
Minimum0.03
Maximum1.35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size69.8 KiB
2023-12-13T07:04:58.642846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.03
5-th percentile0.12
Q10.23
median0.33
Q30.44
95-th percentile0.62
Maximum1.35
Range1.32
Interquartile range (IQR)0.21

Descriptive statistics

Standard deviation0.15487043
Coefficient of variation (CV)0.4459689
Kurtosis0.53692852
Mean0.34726734
Median Absolute Deviation (MAD)0.1
Skewness0.58222458
Sum2753.83
Variance0.023984851
MonotonicityNot monotonic
2023-12-13T07:04:58.783181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.25 250
 
3.2%
0.31 242
 
3.1%
0.29 217
 
2.7%
0.39 207
 
2.6%
0.35 207
 
2.6%
0.46 205
 
2.6%
0.26 203
 
2.6%
0.32 201
 
2.5%
0.34 191
 
2.4%
0.38 189
 
2.4%
Other values (86) 5818
73.4%
ValueCountFrequency (%)
0.03 1
 
< 0.1%
0.04 7
 
0.1%
0.05 20
 
0.3%
0.06 41
0.5%
0.07 52
0.7%
0.08 62
0.8%
0.09 70
0.9%
0.1 67
0.8%
0.11 76
1.0%
0.12 75
0.9%
ValueCountFrequency (%)
1.35 1
 
< 0.1%
1.13 1
 
< 0.1%
1.1 1
 
< 0.1%
1.02 1
 
< 0.1%
0.98 1
 
< 0.1%
0.97 1
 
< 0.1%
0.95 1
 
< 0.1%
0.92 2
< 0.1%
0.9 4
0.1%
0.89 1
 
< 0.1%

식재간격
Real number (ℝ)

Distinct379
Distinct (%)4.8%
Missing40
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean7.2220127
Minimum0.4
Maximum89
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size69.8 KiB
2023-12-13T07:04:58.965309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.4
5-th percentile2.4
Q14.8
median6.5
Q38.14
95-th percentile15
Maximum89
Range88.6
Interquartile range (IQR)3.34

Descriptive statistics

Standard deviation4.6067788
Coefficient of variation (CV)0.63788019
Kurtosis27.410041
Mean7.2220127
Median Absolute Deviation (MAD)1.64
Skewness3.6250481
Sum56981.68
Variance21.222411
MonotonicityNot monotonic
2023-12-13T07:04:59.159537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.0 454
 
5.7%
6.3 247
 
3.1%
5.6 246
 
3.1%
7.2 233
 
2.9%
6.0 222
 
2.8%
7.7 195
 
2.5%
5.0 186
 
2.3%
5.2 183
 
2.3%
4.2 177
 
2.2%
9.0 156
 
2.0%
Other values (369) 5591
70.5%
ValueCountFrequency (%)
0.4 1
 
< 0.1%
0.8 1
 
< 0.1%
0.82 1
 
< 0.1%
0.9 4
 
0.1%
0.92 1
 
< 0.1%
1.0 21
0.3%
1.1 8
 
0.1%
1.2 37
0.5%
1.3 15
0.2%
1.4 27
0.3%
ValueCountFrequency (%)
89.0 1
< 0.1%
60.0 1
< 0.1%
50.0 1
< 0.1%
49.0 1
< 0.1%
46.62 1
< 0.1%
42.3 2
< 0.1%
42.0 1
< 0.1%
40.8 1
< 0.1%
40.0 2
< 0.1%
39.0 2
< 0.1%

수령
Real number (ℝ)

Distinct93
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.17087
Minimum3
Maximum174
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size69.8 KiB
2023-12-13T07:04:59.320178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile15
Q125
median33
Q344
95-th percentile60
Maximum174
Range171
Interquartile range (IQR)19

Descriptive statistics

Standard deviation14.105325
Coefficient of variation (CV)0.40105136
Kurtosis2.1621105
Mean35.17087
Median Absolute Deviation (MAD)9
Skewness0.85272284
Sum278905
Variance198.96021
MonotonicityNot monotonic
2023-12-13T07:04:59.490444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35 311
 
3.9%
30 303
 
3.8%
32 290
 
3.7%
29 282
 
3.6%
33 279
 
3.5%
40 275
 
3.5%
28 271
 
3.4%
25 270
 
3.4%
27 241
 
3.0%
24 223
 
2.8%
Other values (83) 5185
65.4%
ValueCountFrequency (%)
3 1
 
< 0.1%
4 1
 
< 0.1%
5 5
 
0.1%
6 4
 
0.1%
7 17
 
0.2%
8 12
 
0.2%
9 36
0.5%
10 28
0.4%
11 31
0.4%
12 50
0.6%
ValueCountFrequency (%)
174 1
 
< 0.1%
128 1
 
< 0.1%
117 1
 
< 0.1%
108 2
< 0.1%
100 1
 
< 0.1%
97 1
 
< 0.1%
94 3
< 0.1%
93 2
< 0.1%
92 2
< 0.1%
90 1
 
< 0.1%

도로폭
Real number (ℝ)

Distinct27
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.802018
Minimum3
Maximum97
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size69.8 KiB
2023-12-13T07:04:59.642334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile9
Q120
median27
Q340
95-th percentile85
Maximum97
Range94
Interquartile range (IQR)20

Descriptive statistics

Standard deviation21.57712
Coefficient of variation (CV)0.65779855
Kurtosis2.3815644
Mean32.802018
Median Absolute Deviation (MAD)12
Skewness1.6097553
Sum260120
Variance465.5721
MonotonicityNot monotonic
2023-12-13T07:04:59.788441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
25 957
12.1%
40 912
11.5%
38 745
9.4%
27 668
 
8.4%
22 639
 
8.1%
39 582
 
7.3%
13 556
 
7.0%
20 421
 
5.3%
85 379
 
4.8%
97 351
 
4.4%
Other values (17) 1720
21.7%
ValueCountFrequency (%)
3 4
 
0.1%
4 202
 
2.5%
5 7
 
0.1%
7 60
 
0.8%
8 49
 
0.6%
9 100
 
1.3%
10 50
 
0.6%
11 50
 
0.6%
12 283
3.6%
13 556
7.0%
ValueCountFrequency (%)
97 351
 
4.4%
85 379
 
4.8%
49 84
 
1.1%
48 265
 
3.3%
40 912
11.5%
39 582
7.3%
38 745
9.4%
32 57
 
0.7%
27 668
8.4%
25 957
12.1%

보도폭
Text

MISSING 

Distinct553
Distinct (%)7.1%
Missing193
Missing (%)2.4%
Memory size62.1 KiB
2023-12-13T07:05:00.216321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length3
Mean length3.1070182
Min length1

Characters and Unicode

Total characters24039
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique242 ?
Unique (%)3.1%

Sample

1st row0.99
2nd row1.63
3rd row1.55
4th row3
5th row1.6
ValueCountFrequency (%)
2 550
 
7.1%
1 319
 
4.1%
1.4 277
 
3.6%
1.2 274
 
3.5%
2.8 256
 
3.3%
3 243
 
3.1%
1.5 231
 
3.0%
1.6 208
 
2.7%
2.5 197
 
2.5%
0.8 192
 
2.5%
Other values (543) 4990
64.5%
2023-12-13T07:05:01.090560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 6865
28.6%
1 3503
14.6%
2 3310
13.8%
3 1927
 
8.0%
5 1572
 
6.5%
8 1316
 
5.5%
4 1303
 
5.4%
0 1175
 
4.9%
6 1074
 
4.5%
7 847
 
3.5%
Other values (2) 1147
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 16591
69.0%
Other Punctuation 6865
28.6%
Math Symbol 583
 
2.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 3503
21.1%
2 3310
20.0%
3 1927
11.6%
5 1572
9.5%
8 1316
 
7.9%
4 1303
 
7.9%
0 1175
 
7.1%
6 1074
 
6.5%
7 847
 
5.1%
9 564
 
3.4%
Other Punctuation
ValueCountFrequency (%)
. 6865
100.0%
Math Symbol
ValueCountFrequency (%)
| 583
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 24039
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 6865
28.6%
1 3503
14.6%
2 3310
13.8%
3 1927
 
8.0%
5 1572
 
6.5%
8 1316
 
5.5%
4 1303
 
5.4%
0 1175
 
4.9%
6 1074
 
4.5%
7 847
 
3.5%
Other values (2) 1147
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 24039
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 6865
28.6%
1 3503
14.6%
2 3310
13.8%
3 1927
 
8.0%
5 1572
 
6.5%
8 1316
 
5.5%
4 1303
 
5.4%
0 1175
 
4.9%
6 1074
 
4.5%
7 847
 
3.5%
Other values (2) 1147
 
4.8%

보호덮개
Categorical

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size62.1 KiB
<NA>
4074 
압연강판
1962 
주철
1350 
기타
 
342
고무
 
173

Length

Max length4
Median length4
Mean length3.5296343
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 4074
51.4%
압연강판 1962
24.7%
주철 1350
 
17.0%
기타 342
 
4.3%
고무 173
 
2.2%
콘크리트 29
 
0.4%

Length

2023-12-13T07:05:01.274283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:05:01.426720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4074
51.4%
압연강판 1962
24.7%
주철 1350
 
17.0%
기타 342
 
4.3%
고무 173
 
2.2%
콘크리트 29
 
0.4%

보호틀
Categorical

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size62.1 KiB
사각형
4995 
대상형
2261 
말발굽형
 
343
<NA>
 
267
기타
 
36

Length

Max length4
Median length3
Mean length3.0688525
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row대상형
2nd row대상형
3rd row사각형
4th row사각형
5th row사각형

Common Values

ValueCountFrequency (%)
사각형 4995
63.0%
대상형 2261
28.5%
말발굽형 343
 
4.3%
<NA> 267
 
3.4%
기타 36
 
0.5%
원형 28
 
0.4%

Length

2023-12-13T07:05:01.583079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:05:01.726377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사각형 4995
63.0%
대상형 2261
28.5%
말발굽형 343
 
4.3%
na 267
 
3.4%
기타 36
 
0.5%
원형 28
 
0.4%

보호틀파손여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
False
7662 
True
 
268
ValueCountFrequency (%)
False 7662
96.6%
True 268
 
3.4%
2023-12-13T07:05:01.871965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

뿌리융기여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
False
7505 
True
 
425
ValueCountFrequency (%)
False 7505
94.6%
True 425
 
5.4%
2023-12-13T07:05:01.988679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

통기
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
False
7899 
True
 
31
ValueCountFrequency (%)
False 7899
99.6%
True 31
 
0.4%
2023-12-13T07:05:02.090846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

지장물1
Categorical

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size62.1 KiB
<NA>
3992 
전깃줄
1701 
가로등
1049 
전신주
495 
표지판
 
388
Other values (4)
 
305

Length

Max length4
Median length4
Mean length3.4873897
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 3992
50.3%
전깃줄 1701
21.5%
가로등 1049
 
13.2%
전신주 495
 
6.2%
표지판 388
 
4.9%
신호등 178
 
2.2%
기타 84
 
1.1%
건물 29
 
0.4%
간판 14
 
0.2%

Length

2023-12-13T07:05:02.227300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:05:02.391020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3992
50.3%
전깃줄 1701
21.5%
가로등 1049
 
13.2%
전신주 495
 
6.2%
표지판 388
 
4.9%
신호등 178
 
2.2%
기타 84
 
1.1%
건물 29
 
0.4%
간판 14
 
0.2%

지장물2
Categorical

IMBALANCE 

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size62.1 KiB
<NA>
6632 
전깃줄
991 
가로등
 
154
기타
 
59
건물
 
50
Other values (4)
 
44

Length

Max length4
Median length4
Mean length3.8224464
Min length2

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 6632
83.6%
전깃줄 991
 
12.5%
가로등 154
 
1.9%
기타 59
 
0.7%
건물 50
 
0.6%
전신주 24
 
0.3%
표지판 18
 
0.2%
간판 1
 
< 0.1%
고압선 1
 
< 0.1%

Length

2023-12-13T07:05:02.550627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:05:02.716861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 6632
83.6%
전깃줄 991
 
12.5%
가로등 154
 
1.9%
기타 59
 
0.7%
건물 50
 
0.6%
전신주 24
 
0.3%
표지판 18
 
0.2%
간판 1
 
< 0.1%
고압선 1
 
< 0.1%

수목전경사진
Text

UNIQUE 

Distinct7930
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size62.1 KiB
2023-12-13T07:05:02.972460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length28
Mean length24.99773
Min length24

Characters and Unicode

Total characters198232
Distinct characters63
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

Unique7930 ?
Unique (%)100.0%

Sample

1st row01-03-한강대로-가-0861-001.jpg
2nd row01-03-이촌로-가-0418-001.jpg
3rd row01-03-소월로-가-0214-001.jpg
4th row01-03-서빙고로51길-가-0049-001.jpg
5th row01-03-소월로-가-0079-001.jpg
ValueCountFrequency (%)
01-03-한강대로-가-0861-001.jpg 1
 
< 0.1%
01-03-이태원로-가-0069-001.jpg 1
 
< 0.1%
01-03-효창원로-가-0227-001.jpg 1
 
< 0.1%
01-03-독서당로-가-0197-001.jpg 1
 
< 0.1%
01-03-소월로-가-0354-001.jpg 1
 
< 0.1%
01-03-독서당로-가-0148-001.jpg 1
 
< 0.1%
01-03-독서당로-가-0074-001.jpg 1
 
< 0.1%
01-03-백범로-가-0103-001.jpg 1
 
< 0.1%
01-03-이촌로-가-0691-001.jpg 1
 
< 0.1%
01-03-한남대로-가-0035-001.jpg 1
 
< 0.1%
Other values (7920) 7920
99.9%
2023-12-13T07:05:03.358759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 44291
22.3%
- 39650
20.0%
1 19517
9.8%
3 10614
 
5.4%
가 8013
 
4.0%
g 7930
 
4.0%
p 7930
 
4.0%
. 7930
 
4.0%
j 7930
 
4.0%
로 7930
 
4.0%
Other values (53) 36497
18.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 88789
44.8%
Dash Punctuation 39650
20.0%
Other Letter 38073
19.2%
Lowercase Letter 23790
 
12.0%
Other Punctuation 7930
 
4.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
가 8013
21.0%
로 7930
20.8%
대 2319
 
6.1%
한 1466
 
3.9%
이 1393
 
3.7%
원 1315
 
3.5%
강 1087
 
2.9%
서 1034
 
2.7%
촌 877
 
2.3%
사 853
 
2.2%
Other values (38) 11786
31.0%
Decimal Number
ValueCountFrequency (%)
0 44291
49.9%
1 19517
22.0%
3 10614
 
12.0%
2 2985
 
3.4%
4 2383
 
2.7%
5 2302
 
2.6%
6 1841
 
2.1%
7 1839
 
2.1%
8 1559
 
1.8%
9 1458
 
1.6%
Lowercase Letter
ValueCountFrequency (%)
g 7930
33.3%
p 7930
33.3%
j 7930
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 39650
100.0%
Other Punctuation
ValueCountFrequency (%)
. 7930
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 136369
68.8%
Hangul 38073
 
19.2%
Latin 23790
 
12.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
가 8013
21.0%
로 7930
20.8%
대 2319
 
6.1%
한 1466
 
3.9%
이 1393
 
3.7%
원 1315
 
3.5%
강 1087
 
2.9%
서 1034
 
2.7%
촌 877
 
2.3%
사 853
 
2.2%
Other values (38) 11786
31.0%
Common
ValueCountFrequency (%)
0 44291
32.5%
- 39650
29.1%
1 19517
14.3%
3 10614
 
7.8%
. 7930
 
5.8%
2 2985
 
2.2%
4 2383
 
1.7%
5 2302
 
1.7%
6 1841
 
1.4%
7 1839
 
1.3%
Other values (2) 3017
 
2.2%
Latin
ValueCountFrequency (%)
g 7930
33.3%
p 7930
33.3%
j 7930
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 160159
80.8%
Hangul 38073
 
19.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 44291
27.7%
- 39650
24.8%
1 19517
12.2%
3 10614
 
6.6%
g 7930
 
5.0%
p 7930
 
5.0%
. 7930
 
5.0%
j 7930
 
5.0%
2 2985
 
1.9%
4 2383
 
1.5%
Other values (5) 8999
 
5.6%
Hangul
ValueCountFrequency (%)
가 8013
21.0%
로 7930
20.8%
대 2319
 
6.1%
한 1466
 
3.9%
이 1393
 
3.7%
원 1315
 
3.5%
강 1087
 
2.9%
서 1034
 
2.7%
촌 877
 
2.3%
사 853
 
2.2%
Other values (38) 11786
31.0%

보호덮개사진
Text

UNIQUE 

Distinct7930
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size62.1 KiB
2023-12-13T07:05:03.574140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length28
Mean length24.99773
Min length24

Characters and Unicode

Total characters198232
Distinct characters63
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

Unique7930 ?
Unique (%)100.0%

Sample

1st row01-03-한강대로-가-0861-002.jpg
2nd row01-03-이촌로-가-0418-002.jpg
3rd row01-03-소월로-가-0214-002.jpg
4th row01-03-서빙고로51길-가-0049-002.jpg
5th row01-03-소월로-가-0079-002.jpg
ValueCountFrequency (%)
01-03-한강대로-가-0861-002.jpg 1
 
< 0.1%
01-03-이태원로-가-0069-002.jpg 1
 
< 0.1%
01-03-효창원로-가-0227-002.jpg 1
 
< 0.1%
01-03-독서당로-가-0197-002.jpg 1
 
< 0.1%
01-03-소월로-가-0354-002.jpg 1
 
< 0.1%
01-03-독서당로-가-0148-002.jpg 1
 
< 0.1%
01-03-독서당로-가-0074-002.jpg 1
 
< 0.1%
01-03-백범로-가-0103-002.jpg 1
 
< 0.1%
01-03-이촌로-가-0691-002.jpg 1
 
< 0.1%
01-03-한남대로-가-0035-002.jpg 1
 
< 0.1%
Other values (7920) 7920
99.9%
2023-12-13T07:05:03.887624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 44291
22.3%
- 39650
20.0%
1 11587
 
5.8%
2 10915
 
5.5%
3 10614
 
5.4%
가 8013
 
4.0%
g 7930
 
4.0%
p 7930
 
4.0%
j 7930
 
4.0%
. 7930
 
4.0%
Other values (53) 41442
20.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 88789
44.8%
Dash Punctuation 39650
20.0%
Other Letter 38073
19.2%
Lowercase Letter 23790
 
12.0%
Other Punctuation 7930
 
4.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
가 8013
21.0%
로 7930
20.8%
대 2319
 
6.1%
한 1466
 
3.9%
이 1393
 
3.7%
원 1315
 
3.5%
강 1087
 
2.9%
서 1034
 
2.7%
촌 877
 
2.3%
사 853
 
2.2%
Other values (38) 11786
31.0%
Decimal Number
ValueCountFrequency (%)
0 44291
49.9%
1 11587
 
13.1%
2 10915
 
12.3%
3 10614
 
12.0%
4 2383
 
2.7%
5 2302
 
2.6%
6 1841
 
2.1%
7 1839
 
2.1%
8 1559
 
1.8%
9 1458
 
1.6%
Lowercase Letter
ValueCountFrequency (%)
g 7930
33.3%
p 7930
33.3%
j 7930
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 39650
100.0%
Other Punctuation
ValueCountFrequency (%)
. 7930
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 136369
68.8%
Hangul 38073
 
19.2%
Latin 23790
 
12.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
가 8013
21.0%
로 7930
20.8%
대 2319
 
6.1%
한 1466
 
3.9%
이 1393
 
3.7%
원 1315
 
3.5%
강 1087
 
2.9%
서 1034
 
2.7%
촌 877
 
2.3%
사 853
 
2.2%
Other values (38) 11786
31.0%
Common
ValueCountFrequency (%)
0 44291
32.5%
- 39650
29.1%
1 11587
 
8.5%
2 10915
 
8.0%
3 10614
 
7.8%
. 7930
 
5.8%
4 2383
 
1.7%
5 2302
 
1.7%
6 1841
 
1.4%
7 1839
 
1.3%
Other values (2) 3017
 
2.2%
Latin
ValueCountFrequency (%)
g 7930
33.3%
p 7930
33.3%
j 7930
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 160159
80.8%
Hangul 38073
 
19.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 44291
27.7%
- 39650
24.8%
1 11587
 
7.2%
2 10915
 
6.8%
3 10614
 
6.6%
g 7930
 
5.0%
p 7930
 
5.0%
j 7930
 
5.0%
. 7930
 
5.0%
4 2383
 
1.5%
Other values (5) 8999
 
5.6%
Hangul
ValueCountFrequency (%)
가 8013
21.0%
로 7930
20.8%
대 2319
 
6.1%
한 1466
 
3.9%
이 1393
 
3.7%
원 1315
 
3.5%
강 1087
 
2.9%
서 1034
 
2.7%
촌 877
 
2.3%
사 853
 
2.2%
Other values (38) 11786
31.0%

Sample

관리번호수목명수목구분수목유형식재일관리기관전화번호관리기관명데이터기준일자도로명도로종류도로시작점도로종료점수목위치수목위도수목경도도로명주소지번주소행정동흉고직경근원직경식재간격수령도로폭보도폭보호덮개보호틀보호틀파손여부뿌리융기여부통기지장물1지장물2수목전경사진보호덮개사진
003-한강대로-가-0861느티나무가로수교목2007-04-0502-2199-7623서울특별시 용산구청2022-12-08한강대로특별시도서울특별시 용산구 이촌동 372서울특별시 용산구 동자동 43-218용산푸르지오써밋 앞37.526974126.965487<NA>서울특별시 용산구 한강로2가 361-1한강로동0.160.214.820400.99<NA>대상형NNN기타<NA>01-03-한강대로-가-0861-001.jpg01-03-한강대로-가-0861-002.jpg
103-이촌로-가-0418느티나무가로수교목1989-04-0602-2199-7623서울특별시 용산구청2022-12-08이촌로특별시도서울특별시 용산구 한강로3가 16-70서울특별시 용산구 서빙고동 271-105신동아아파트 앞37.517265126.985664<NA>서울특별시 용산구 서빙고동 241-105서빙고동0.310.337.538251.63<NA>대상형NNN<NA><NA>01-03-이촌로-가-0418-001.jpg01-03-이촌로-가-0418-002.jpg
203-소월로-가-0214은행나무가로수교목1971-04-0602-2199-7623서울특별시 용산구청2022-12-08소월로특별시도서울특별시 용산구 후암동 447-1서울특별시 용산구 한남동 726-94남산야외식물원 맞은편37.542583126.992631<NA>서울특별시 용산구 이태원2동 260-381이태원2동0.450.528.457221.55<NA>사각형NYN신호등전깃줄01-03-소월로-가-0214-001.jpg01-03-소월로-가-0214-002.jpg
303-서빙고로51길-가-0049양버즘나무가로수교목1998-04-0302-2199-7623서울특별시 용산구청2022-12-08서빙고로51길특별시도서울특별시 용산구 서빙고동 235-86서울특별시 용산구 용산동6가 14-2한강중학교 뒤37.524804126.991505<NA>서울특별시 용산구 서빙고동 4-2서빙고동0.350.416.330193기타사각형NYN<NA><NA>01-03-서빙고로51길-가-0049-001.jpg01-03-서빙고로51길-가-0049-002.jpg
403-소월로-가-0079은행나무가로수교목1979-04-0602-2199-7623서울특별시 용산구청2022-12-08소월로특별시도서울특별시 용산구 후암동 447-1서울특별시 용산구 한남동 726-94독일문화원 앞37.550916126.983117<NA>서울특별시 용산구 후암동 339-24후암동0.380.477.048221.6<NA>사각형NNN<NA><NA>01-03-소월로-가-0079-001.jpg01-03-소월로-가-0079-002.jpg
503-소월로2길-가-0013양버즘나무가로수교목1987-04-0602-2199-7623서울특별시 용산구청2022-12-08소월로2길특별시도서울특별시 용산구 후암동 447-1서울특별시 용산구 동자동 1-32커피를사랑한소믈리애 앞37.553938126.976614<NA>서울특별시 용산구 후암동 445-6후암동0.480.567.640201.48주철사각형NNN<NA><NA>01-03-소월로2길-가-0013-001.jpg01-03-소월로2길-가-0013-002.jpg
603-한강대로23길-가-0023느티나무가로수교목2010-04-0502-2199-7623서울특별시 용산구청2022-12-08한강대로23길특별시도서울특별시 용산구 한강로2가 420-5서울특별시 용산구 한강로2가 226-4래미안 용산센터 옆37.528513126.966362<NA>서울특별시 용산구 한강로2가 422-4한강로동0.140.194.21871.8압연강판사각형NNN가로등<NA>01-03-한강대로23길-가-0023-001.jpg01-03-한강대로23길-가-0023-002.jpg
703-한강대로-가-0849느티나무가로수교목2005-04-0402-2199-7623서울특별시 용산구청2022-12-08한강대로특별시도서울특별시 용산구 이촌동 372서울특별시 용산구 동자동 43-218용산역 광장 앞37.527772126.96627<NA>서울특별시 용산구 한강로동 353-1한강로동0.180.294.822402압연강판사각형NNN신호등<NA>01-03-한강대로-가-0849-001.jpg01-03-한강대로-가-0849-002.jpg
803-독서당로-가-0052은행나무가로수교목1967-04-0602-2199-7623서울특별시 용산구청2022-12-08독서당로특별시도서울특별시 용산구 한남동 555-3서울특별시 용산구 한남동 60-13현대공인중개사 앞37.53395127.008956<NA>서울특별시 용산구 한남동 263-14한남동0.480.556.360251압연강판사각형NNN<NA><NA>01-03-독서당로-가-0052-001.jpg01-03-독서당로-가-0052-002.jpg
903-한강대로-가-0348은행나무가로수교목1967-04-0602-2199-7623서울특별시 용산구청2022-12-08한강대로특별시도서울특별시 용산구 이촌동 372서울특별시 용산구 동자동 43-218부동산프로 앞37.549356126.972005<NA>서울특별시 용산구 갈월동 3-13남영동0.480.497.460402.9<NA>대상형NNN전깃줄<NA>01-03-한강대로-가-0348-001.jpg01-03-한강대로-가-0348-002.jpg
관리번호수목명수목구분수목유형식재일관리기관전화번호관리기관명데이터기준일자도로명도로종류도로시작점도로종료점수목위치수목위도수목경도도로명주소지번주소행정동흉고직경근원직경식재간격수령도로폭보도폭보호덮개보호틀보호틀파손여부뿌리융기여부통기지장물1지장물2수목전경사진보호덮개사진
792003-녹사평대로-가-0704벚나무가로수교목1991-04-0402-2199-7623서울특별시 용산구청2022-12-08녹사평대로특별시도서울특별시 용산구 서빙고동 287-3서울특별시 용산구 후암동 산 1-2용산푸르지오파크타운1단지 앞37.525311126.995682<NA>서울특별시 용산구 동빙고동 318서빙고동0.170.238.021384.7<NA>대상형NNN<NA><NA>01-03-녹사평대로-가-0704-001.jpg01-03-녹사평대로-가-0704-002.jpg
792103-녹사평대로-가-0703벚나무가로수교목1967-04-0602-2199-7623서울특별시 용산구청2022-12-08녹사평대로특별시도서울특별시 용산구 서빙고동 287-3서울특별시 용산구 후암동 산 1-2용산푸르지오파크타운1단지 앞37.525314126.995575<NA>서울특별시 용산구 동빙고동 318서빙고동0.280.298.034384.7<NA>대상형NYN<NA><NA>01-03-녹사평대로-가-0703-001.jpg01-03-녹사평대로-가-0703-002.jpg
792203-녹사평대로-가-0702벚나무가로수교목1963-04-0402-2199-7623서울특별시 용산구청2022-12-08녹사평대로특별시도서울특별시 용산구 서빙고동 287-3서울특별시 용산구 후암동 산 1-2용산푸르지오파크타운1단지 앞37.525311126.995476<NA>서울특별시 용산구 동빙고동 318서빙고동0.30.318.636384.7<NA>대상형NYN<NA><NA>01-03-녹사평대로-가-0702-001.jpg01-03-녹사평대로-가-0702-002.jpg
792303-녹사평대로-가-0701벚나무가로수교목1965-04-0602-2199-7623서울특별시 용산구청2022-12-08녹사평대로특별시도서울특별시 용산구 서빙고동 287-3서울특별시 용산구 후암동 산 1-2용산푸르지오파크타운1단지 앞37.525284126.99482<NA>서울특별시 용산구 동빙고동 318서빙고동0.290.356.635384.6<NA>대상형NYN<NA><NA>01-03-녹사평대로-가-0701-001.jpg01-03-녹사평대로-가-0701-002.jpg
792403-녹사평대로-가-0700벚나무가로수교목1967-04-0602-2199-7623서울특별시 용산구청2022-12-08녹사평대로특별시도서울특별시 용산구 서빙고동 287-3서울특별시 용산구 후암동 산 1-2용산푸르지오파크타운1단지 앞37.525272126.994743<NA>서울특별시 용산구 동빙고동 318서빙고동0.280.326.634384.6<NA>대상형NNN<NA><NA>01-03-녹사평대로-가-0700-001.jpg01-03-녹사평대로-가-0700-002.jpg
792503-녹사평대로-가-0699벚나무가로수교목2001-04-0402-2199-7623서울특별시 용산구청2022-12-08녹사평대로특별시도서울특별시 용산구 서빙고동 287-3서울특별시 용산구 후암동 산 1-2용산푸르지오파크타운1단지 앞37.525265126.994629<NA>서울특별시 용산구 동빙고동 318서빙고동0.120.286.715384.6<NA>대상형NNN<NA><NA>01-03-녹사평대로-가-0699-001.jpg01-03-녹사평대로-가-0699-002.jpg
792603-녹사평대로-가-0698벚나무가로수교목1947-04-0402-2199-7623서울특별시 용산구청2022-12-08녹사평대로특별시도서울특별시 용산구 서빙고동 287-3서울특별시 용산구 후암동 산 1-2용산푸르지오파크타운1단지 앞37.525249126.994499<NA>서울특별시 용산구 동빙고동 318서빙고동0.390.3913.047384.6<NA>대상형NYN<NA><NA>01-03-녹사평대로-가-0698-001.jpg01-03-녹사평대로-가-0698-002.jpg
792703-녹사평대로-가-0440은행나무가로수교목2009-04-0602-2199-7623서울특별시 용산구청2022-12-08녹사평대로특별시도서울특별시 용산구 서빙고동 287-3서울특별시 용산구 후암동 산 1-2이태원주공아파트 앞37.542286126.988419<NA>서울특별시 용산구 이태원동 721이태원2동0.140.185.818381.66<NA>사각형NNN<NA><NA>01-03-녹사평대로-가-0440-001.jpg01-03-녹사평대로-가-0440-002.jpg
792803-녹사평대로-가-0454소나무가로수교목2001-04-0402-2199-7623서울특별시 용산구청2022-12-08녹사평대로특별시도서울특별시 용산구 서빙고동 287-3서울특별시 용산구 후암동 산 1-2남산대림아파트 앞37.541698126.988205<NA>서울특별시 용산구 이태원동 721이태원2동0.140.155.227381.66<NA>대상형NNN<NA><NA>01-03-녹사평대로-가-0454-001.jpg01-03-녹사평대로-가-0454-002.jpg
792903-녹사평대로-가-0466은행나무가로수교목2009-04-0602-2199-7623서울특별시 용산구청2022-12-08녹사평대로특별시도서울특별시 용산구 서빙고동 287-3서울특별시 용산구 후암동 산 1-2남산대림아파트 앞37.5411126.988007<NA>서울특별시 용산구 이태원동 721이태원2동0.140.185.818381.7<NA>대상형NNN<NA><NA>01-03-녹사평대로-가-0466-001.jpg01-03-녹사평대로-가-0466-002.jpg