Overview

Dataset statistics

Number of variables31
Number of observations10000
Missing cells9744
Missing cells (%)3.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.5 MiB
Average record size in memory261.0 B

Variable types

Text10
Categorical13
DateTime1
Numeric5
Boolean2

Dataset

Description대구광역시 관내에 식재된 가로수에 대한 상세정보 파일 제공(대구광역시 중구, 동구, 서구, 남구, 북구, 수성구)
Author대구광역시
URLhttps://www.data.go.kr/data/15109655/fileData.do

Alerts

수목구분 has constant value ""Constant
수목유형 has constant value ""Constant
데이터기준일자 has constant value ""Constant
도로종류 has constant value ""Constant
관리기관전화번호 is highly imbalanced (52.4%)Imbalance
관리기관명 is highly imbalanced (52.4%)Imbalance
시군구 is highly imbalanced (52.4%)Imbalance
보호덮개 is highly imbalanced (57.6%)Imbalance
통기 is highly imbalanced (96.3%)Imbalance
도로명주소 has 9744 (97.4%) missing valuesMissing
관리번호 has unique valuesUnique
수목사진 has unique valuesUnique
보호덮개사진 has unique valuesUnique

Reproduction

Analysis started2023-12-12 22:12:54.106715
Analysis finished2023-12-12 22:12:55.860060
Duration1.75 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

관리번호
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T07:12:56.026538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length13
Mean length14.2345
Min length13

Characters and Unicode

Total characters142345
Distinct characters111
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

Unique10000 ?
Unique (%)100.0%

Sample

1st row05-공항로-가-0121
2nd row05-경대로-가-0093
3rd row01-태평로-가-0213
4th row05-동변로18길-가-0046
5th row01-이천로-가-0198
ValueCountFrequency (%)
05-공항로-가-0121 1
 
< 0.1%
05-유통단지로-가-0254 1
 
< 0.1%
05-학정로-가-0924 1
 
< 0.1%
05-칠곡중앙대로-가-0380 1
 
< 0.1%
05-유통단지로7길-가-0188 1
 
< 0.1%
01-달구벌대로-가-0337 1
 
< 0.1%
05-매천로8길-가-0055 1
 
< 0.1%
01-달성로-가-0011 1
 
< 0.1%
05-호국로-가-0174 1
 
< 0.1%
05-유통단지로8길-가-0314 1
 
< 0.1%
Other values (9990) 9990
99.9%
2023-12-13T07:12:56.411780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 30000
21.1%
0 26175
18.4%
5 11009
 
7.7%
가 10006
 
7.0%
로 9854
 
6.9%
1 7145
 
5.0%
2 4135
 
2.9%
3 3808
 
2.7%
4 2933
 
2.1%
길 2257
 
1.6%
Other values (101) 35023
24.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 63943
44.9%
Other Letter 48402
34.0%
Dash Punctuation 30000
21.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
가 10006
20.7%
로 9854
20.4%
길 2257
 
4.7%
동 1584
 
3.3%
대 1500
 
3.1%
천 1466
 
3.0%
국 1063
 
2.2%
암 1056
 
2.2%
단 1049
 
2.2%
앙 877
 
1.8%
Other values (90) 17690
36.5%
Decimal Number
ValueCountFrequency (%)
0 26175
40.9%
5 11009
17.2%
1 7145
 
11.2%
2 4135
 
6.5%
3 3808
 
6.0%
4 2933
 
4.6%
8 2237
 
3.5%
6 2213
 
3.5%
7 2180
 
3.4%
9 2108
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 30000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 93943
66.0%
Hangul 48402
34.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
가 10006
20.7%
로 9854
20.4%
길 2257
 
4.7%
동 1584
 
3.3%
대 1500
 
3.1%
천 1466
 
3.0%
국 1063
 
2.2%
암 1056
 
2.2%
단 1049
 
2.2%
앙 877
 
1.8%
Other values (90) 17690
36.5%
Common
ValueCountFrequency (%)
- 30000
31.9%
0 26175
27.9%
5 11009
 
11.7%
1 7145
 
7.6%
2 4135
 
4.4%
3 3808
 
4.1%
4 2933
 
3.1%
8 2237
 
2.4%
6 2213
 
2.4%
7 2180
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 93943
66.0%
Hangul 48402
34.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 30000
31.9%
0 26175
27.9%
5 11009
 
11.7%
1 7145
 
7.6%
2 4135
 
4.4%
3 3808
 
4.1%
4 2933
 
3.1%
8 2237
 
2.4%
6 2213
 
2.4%
7 2180
 
2.3%
Hangul
ValueCountFrequency (%)
가 10006
20.7%
로 9854
20.4%
길 2257
 
4.7%
동 1584
 
3.3%
대 1500
 
3.1%
천 1466
 
3.0%
국 1063
 
2.2%
암 1056
 
2.2%
단 1049
 
2.2%
앙 877
 
1.8%
Other values (90) 17690
36.5%

수종
Categorical

Distinct31
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
은행나무
3303 
느티나무
2188 
양버즘나무
2058 
중국단풍
824 
이팝나무
415 
Other values (26)
1212 

Length

Max length7
Median length4
Mean length4.2052
Min length2

Unique

Unique5 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
은행나무 3303
33.0%
느티나무 2188
21.9%
양버즘나무 2058
20.6%
중국단풍 824
 
8.2%
이팝나무 415
 
4.2%
왕벚나무 347
 
3.5%
팽나무 173
 
1.7%
백합나무 130
 
1.3%
메타세쿼이아 106
 
1.1%
회화나무 103
 
1.0%
Other values (21) 353
 
3.5%

Length

2023-12-13T07:12:56.773511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
은행나무 3303
33.0%
느티나무 2188
21.9%
양버즘나무 2058
20.6%
중국단풍 824
 
8.2%
이팝나무 415
 
4.2%
왕벚나무 347
 
3.5%
팽나무 173
 
1.7%
백합나무 130
 
1.3%
메타세쿼이아 106
 
1.1%
회화나무 103
 
1.0%
Other values (20) 353
 
3.5%

수목구분
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
가로수
10000 

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 10000
100.0%

Length

2023-12-13T07:12:56.883525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:12:57.000819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가로수 10000
100.0%

수목유형
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
교목
10000 

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 10000
100.0%

Length

2023-12-13T07:12:57.109751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:12:57.216700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
교목 10000
100.0%

식재일
Date

Distinct939
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum1947-03-16 00:00:00
Maximum2021-03-16 00:00:00
2023-12-13T07:12:57.319854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:12:57.468458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

관리기관전화번호
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
053-665-2858
8214 
053-661-2856
1626 
053-662-2868
 
160

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row053-665-2858
2nd row053-665-2858
3rd row053-661-2856
4th row053-665-2858
5th row053-661-2856

Common Values

ValueCountFrequency (%)
053-665-2858 8214
82.1%
053-661-2856 1626
 
16.3%
053-662-2868 160
 
1.6%

Length

2023-12-13T07:12:57.597557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:12:57.694931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
053-665-2858 8214
82.1%
053-661-2856 1626
 
16.3%
053-662-2868 160
 
1.6%

관리기관명
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
대구광역시 북구청
8214 
대구광역시 중구청
1626 
대구광역시 동구청
 
160

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row대구광역시 북구청
2nd row대구광역시 북구청
3rd row대구광역시 중구청
4th row대구광역시 북구청
5th row대구광역시 중구청

Common Values

ValueCountFrequency (%)
대구광역시 북구청 8214
82.1%
대구광역시 중구청 1626
 
16.3%
대구광역시 동구청 160
 
1.6%

Length

2023-12-13T07:12:57.795663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:12:57.887928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구광역시 10000
50.0%
북구청 8214
41.1%
중구청 1626
 
8.1%
동구청 160
 
0.8%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2022-12-09
10000 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-12-09
2nd row2022-12-09
3rd row2022-12-09
4th row2022-12-09
5th row2022-12-09

Common Values

ValueCountFrequency (%)
2022-12-09 10000
100.0%

Length

2023-12-13T07:12:58.026148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:12:58.116500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-12-09 10000
100.0%

도로명
Text

Distinct215
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T07:12:58.351061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length3
Mean length4.2345
Min length3

Characters and Unicode

Total characters42345
Distinct characters110
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)0.3%

Sample

1st row공항로
2nd row경대로
3rd row태평로
4th row동변로18길
5th row이천로
ValueCountFrequency (%)
호국로 615
 
6.2%
칠곡중앙대로 410
 
4.1%
구암로 314
 
3.1%
학정로 248
 
2.5%
매천로 239
 
2.4%
동북로 216
 
2.2%
노원로 200
 
2.0%
국채보상로 188
 
1.9%
신천대로 183
 
1.8%
동천로 182
 
1.8%
Other values (205) 7205
72.0%
2023-12-13T07:12:58.761467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
로 9854
23.3%
길 2257
 
5.3%
동 1584
 
3.7%
대 1500
 
3.5%
천 1466
 
3.5%
국 1063
 
2.5%
암 1056
 
2.5%
단 1049
 
2.5%
중 877
 
2.1%
앙 877
 
2.1%
Other values (100) 20762
49.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 38402
90.7%
Decimal Number 3943
 
9.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 9854
25.7%
길 2257
 
5.9%
동 1584
 
4.1%
대 1500
 
3.9%
천 1466
 
3.8%
국 1063
 
2.8%
암 1056
 
2.7%
단 1049
 
2.7%
중 877
 
2.3%
앙 877
 
2.3%
Other values (90) 16819
43.8%
Decimal Number
ValueCountFrequency (%)
1 796
20.2%
3 742
18.8%
2 632
16.0%
5 432
11.0%
4 319
8.1%
8 288
 
7.3%
9 249
 
6.3%
7 192
 
4.9%
0 147
 
3.7%
6 146
 
3.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 38402
90.7%
Common 3943
 
9.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 9854
25.7%
길 2257
 
5.9%
동 1584
 
4.1%
대 1500
 
3.9%
천 1466
 
3.8%
국 1063
 
2.8%
암 1056
 
2.7%
단 1049
 
2.7%
중 877
 
2.3%
앙 877
 
2.3%
Other values (90) 16819
43.8%
Common
ValueCountFrequency (%)
1 796
20.2%
3 742
18.8%
2 632
16.0%
5 432
11.0%
4 319
8.1%
8 288
 
7.3%
9 249
 
6.3%
7 192
 
4.9%
0 147
 
3.7%
6 146
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 38402
90.7%
ASCII 3943
 
9.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
로 9854
25.7%
길 2257
 
5.9%
동 1584
 
4.1%
대 1500
 
3.9%
천 1466
 
3.8%
국 1063
 
2.8%
암 1056
 
2.7%
단 1049
 
2.7%
중 877
 
2.3%
앙 877
 
2.3%
Other values (90) 16819
43.8%
ASCII
ValueCountFrequency (%)
1 796
20.2%
3 742
18.8%
2 632
16.0%
5 432
11.0%
4 319
8.1%
8 288
 
7.3%
9 249
 
6.3%
7 192
 
4.9%
0 147
 
3.7%
6 146
 
3.7%

도로종류
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
광역시도
10000 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
광역시도 10000
100.0%

Length

2023-12-13T07:12:58.902897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:12:58.981723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
광역시도 10000
100.0%

도로시작점
Text

Distinct211
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T07:12:59.265305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length21
Mean length18.2587
Min length15

Characters and Unicode

Total characters182587
Distinct characters88
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

Unique29 ?
Unique (%)0.3%

Sample

1st row대구광역시 북구 복현동 200-1
2nd row대구광역시 북구 대현동 219-2
3rd row대구광역시 중구 달성동 182-88
4th row대구광역시 북구 동변동 684
5th row대구광역시 남구 봉덕동 626-2
ValueCountFrequency (%)
대구광역시 10000
24.8%
북구 7616
18.9%
산격동 2003
 
5.0%
중구 1188
 
2.9%
태전동 773
 
1.9%
팔달동 748
 
1.9%
570-6 615
 
1.5%
관음동 608
 
1.5%
134-1 412
 
1.0%
동천동 402
 
1.0%
Other values (270) 15924
39.5%
2023-12-13T07:12:59.767047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
30289
16.6%
구 20101
 
11.0%
동 10414
 
5.7%
대 10411
 
5.7%
광 10000
 
5.5%
역 10000
 
5.5%
시 10000
 
5.5%
1 9345
 
5.1%
북 7616
 
4.2%
- 7004
 
3.8%
Other values (78) 57407
31.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 102840
56.3%
Decimal Number 42454
23.3%
Space Separator 30289
 
16.6%
Dash Punctuation 7004
 
3.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 20101
19.5%
동 10414
10.1%
대 10411
10.1%
광 10000
9.7%
역 10000
9.7%
시 10000
9.7%
북 7616
 
7.4%
산 2669
 
2.6%
격 2003
 
1.9%
가 1729
 
1.7%
Other values (66) 17897
17.4%
Decimal Number
ValueCountFrequency (%)
1 9345
22.0%
2 4943
11.6%
6 4852
11.4%
3 4759
11.2%
7 4175
9.8%
8 3172
 
7.5%
5 3135
 
7.4%
0 3086
 
7.3%
4 3011
 
7.1%
9 1976
 
4.7%
Space Separator
ValueCountFrequency (%)
30289
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7004
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 102840
56.3%
Common 79747
43.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 20101
19.5%
동 10414
10.1%
대 10411
10.1%
광 10000
9.7%
역 10000
9.7%
시 10000
9.7%
북 7616
 
7.4%
산 2669
 
2.6%
격 2003
 
1.9%
가 1729
 
1.7%
Other values (66) 17897
17.4%
Common
ValueCountFrequency (%)
30289
38.0%
1 9345
 
11.7%
- 7004
 
8.8%
2 4943
 
6.2%
6 4852
 
6.1%
3 4759
 
6.0%
7 4175
 
5.2%
8 3172
 
4.0%
5 3135
 
3.9%
0 3086
 
3.9%
Other values (2) 4987
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 102840
56.3%
ASCII 79747
43.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
30289
38.0%
1 9345
 
11.7%
- 7004
 
8.8%
2 4943
 
6.2%
6 4852
 
6.1%
3 4759
 
6.0%
7 4175
 
5.2%
8 3172
 
4.0%
5 3135
 
3.9%
0 3086
 
3.9%
Other values (2) 4987
 
6.3%
Hangul
ValueCountFrequency (%)
구 20101
19.5%
동 10414
10.1%
대 10411
10.1%
광 10000
9.7%
역 10000
9.7%
시 10000
9.7%
북 7616
 
7.4%
산 2669
 
2.6%
격 2003
 
1.9%
가 1729
 
1.7%
Other values (66) 17897
17.4%

도로종료점
Text

Distinct215
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T07:13:00.189197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length21
Mean length18.1245
Min length15

Characters and Unicode

Total characters181245
Distinct characters97
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)0.3%

Sample

1st row대구광역시 동구 입석동 981-10
2nd row대구광역시 북구 복현동 479-4
3rd row대구광역시 중구 동인동3가 371-1
4th row대구광역시 북구 동변동 541-1
5th row대구광역시 중구 봉산동 172-14
ValueCountFrequency (%)
대구광역시 10000
25.0%
북구 7880
19.7%
침산동 1128
 
2.8%
중구 975
 
2.4%
산격동 927
 
2.3%
읍내동 877
 
2.2%
동호동 756
 
1.9%
413-1 615
 
1.5%
국우동 614
 
1.5%
동구 514
 
1.3%
Other values (265) 15720
39.3%
2023-12-13T07:13:01.024792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
30006
16.6%
구 20337
 
11.2%
동 12285
 
6.8%
1 11070
 
6.1%
대 10159
 
5.6%
광 10000
 
5.5%
역 10000
 
5.5%
시 10000
 
5.5%
북 7880
 
4.3%
- 7387
 
4.1%
Other values (87) 52121
28.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 101388
55.9%
Decimal Number 42103
23.2%
Space Separator 30006
 
16.6%
Dash Punctuation 7387
 
4.1%
Control 361
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 20337
20.1%
동 12285
12.1%
대 10159
10.0%
광 10000
9.9%
역 10000
9.9%
시 10000
9.9%
북 7880
 
7.8%
산 2321
 
2.3%
침 1128
 
1.1%
가 1084
 
1.1%
Other values (74) 16194
16.0%
Decimal Number
ValueCountFrequency (%)
1 11070
26.3%
3 4658
11.1%
2 4411
 
10.5%
4 4196
 
10.0%
6 3834
 
9.1%
7 3218
 
7.6%
9 3089
 
7.3%
5 2859
 
6.8%
8 2549
 
6.1%
0 2219
 
5.3%
Space Separator
ValueCountFrequency (%)
30006
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7387
100.0%
Control
ValueCountFrequency (%)
361
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 101388
55.9%
Common 79857
44.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 20337
20.1%
동 12285
12.1%
대 10159
10.0%
광 10000
9.9%
역 10000
9.9%
시 10000
9.9%
북 7880
 
7.8%
산 2321
 
2.3%
침 1128
 
1.1%
가 1084
 
1.1%
Other values (74) 16194
16.0%
Common
ValueCountFrequency (%)
30006
37.6%
1 11070
 
13.9%
- 7387
 
9.3%
3 4658
 
5.8%
2 4411
 
5.5%
4 4196
 
5.3%
6 3834
 
4.8%
7 3218
 
4.0%
9 3089
 
3.9%
5 2859
 
3.6%
Other values (3) 5129
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 101388
55.9%
ASCII 79857
44.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
30006
37.6%
1 11070
 
13.9%
- 7387
 
9.3%
3 4658
 
5.8%
2 4411
 
5.5%
4 4196
 
5.3%
6 3834
 
4.8%
7 3218
 
4.0%
9 3089
 
3.9%
5 2859
 
3.6%
Other values (3) 5129
 
6.4%
Hangul
ValueCountFrequency (%)
구 20337
20.1%
동 12285
12.1%
대 10159
10.0%
광 10000
9.9%
역 10000
9.9%
시 10000
9.9%
북 7880
 
7.8%
산 2321
 
2.3%
침 1128
 
1.1%
가 1084
 
1.1%
Other values (74) 16194
16.0%

수목위치
Text

Distinct4350
Distinct (%)43.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T07:13:01.406184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length22
Mean length7.4377
Min length2

Characters and Unicode

Total characters74377
Distinct characters821
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

Unique2743 ?
Unique (%)27.4%

Sample

1st row장미아파트 앞
2nd row경북대 앞
3rd row동인꽃도매시장 건너
4th row유니버시아드선수촌1단지 앞
5th row건들바위 역사공원 앞
ValueCountFrequency (%)
앞 4059
 
24.1%
건너 537
 
3.2%
옆 280
 
1.7%
호국로 186
 
1.1%
맞은편 140
 
0.8%
팔거천 137
 
0.8%
아파트 131
 
0.8%
신천대로 127
 
0.8%
부근 122
 
0.7%
도로변 122
 
0.7%
Other values (4341) 11004
65.3%
2023-12-13T07:13:01.918401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6966
 
9.4%
앞 4076
 
5.5%
아 1495
 
2.0%
트 1416
 
1.9%
대 1349
 
1.8%
파 1242
 
1.7%
동 1187
 
1.6%
스 1018
 
1.4%
원 846
 
1.1%
구 827
 
1.1%
Other values (811) 53955
72.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 63976
86.0%
Space Separator 6966
 
9.4%
Decimal Number 1979
 
2.7%
Uppercase Letter 1139
 
1.5%
Dash Punctuation 100
 
0.1%
Open Punctuation 64
 
0.1%
Close Punctuation 64
 
0.1%
Lowercase Letter 57
 
0.1%
Other Punctuation 32
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
앞 4076
 
6.4%
아 1495
 
2.3%
트 1416
 
2.2%
대 1349
 
2.1%
파 1242
 
1.9%
동 1187
 
1.9%
스 1018
 
1.6%
원 846
 
1.3%
구 827
 
1.3%
성 782
 
1.2%
Other values (752) 49738
77.7%
Uppercase Letter
ValueCountFrequency (%)
S 186
16.3%
G 128
11.2%
K 107
 
9.4%
C 81
 
7.1%
T 60
 
5.3%
D 60
 
5.3%
B 55
 
4.8%
L 53
 
4.7%
O 49
 
4.3%
P 48
 
4.2%
Other values (16) 312
27.4%
Lowercase Letter
ValueCountFrequency (%)
s 13
22.8%
t 8
14.0%
e 8
14.0%
m 5
 
8.8%
n 4
 
7.0%
r 3
 
5.3%
a 3
 
5.3%
h 2
 
3.5%
i 2
 
3.5%
u 2
 
3.5%
Other values (6) 7
12.3%
Decimal Number
ValueCountFrequency (%)
1 533
26.9%
2 489
24.7%
0 209
 
10.6%
3 158
 
8.0%
5 146
 
7.4%
4 138
 
7.0%
7 108
 
5.5%
6 85
 
4.3%
8 63
 
3.2%
9 50
 
2.5%
Other Punctuation
ValueCountFrequency (%)
. 19
59.4%
& 11
34.4%
, 2
 
6.2%
Space Separator
ValueCountFrequency (%)
6966
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 100
100.0%
Open Punctuation
ValueCountFrequency (%)
( 64
100.0%
Close Punctuation
ValueCountFrequency (%)
) 64
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 63976
86.0%
Common 9205
 
12.4%
Latin 1196
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
앞 4076
 
6.4%
아 1495
 
2.3%
트 1416
 
2.2%
대 1349
 
2.1%
파 1242
 
1.9%
동 1187
 
1.9%
스 1018
 
1.6%
원 846
 
1.3%
구 827
 
1.3%
성 782
 
1.2%
Other values (752) 49738
77.7%
Latin
ValueCountFrequency (%)
S 186
15.6%
G 128
 
10.7%
K 107
 
8.9%
C 81
 
6.8%
T 60
 
5.0%
D 60
 
5.0%
B 55
 
4.6%
L 53
 
4.4%
O 49
 
4.1%
P 48
 
4.0%
Other values (32) 369
30.9%
Common
ValueCountFrequency (%)
6966
75.7%
1 533
 
5.8%
2 489
 
5.3%
0 209
 
2.3%
3 158
 
1.7%
5 146
 
1.6%
4 138
 
1.5%
7 108
 
1.2%
- 100
 
1.1%
6 85
 
0.9%
Other values (7) 273
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 63976
86.0%
ASCII 10401
 
14.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6966
67.0%
1 533
 
5.1%
2 489
 
4.7%
0 209
 
2.0%
S 186
 
1.8%
3 158
 
1.5%
5 146
 
1.4%
4 138
 
1.3%
G 128
 
1.2%
7 108
 
1.0%
Other values (49) 1340
 
12.9%
Hangul
ValueCountFrequency (%)
앞 4076
 
6.4%
아 1495
 
2.3%
트 1416
 
2.2%
대 1349
 
2.1%
파 1242
 
1.9%
동 1187
 
1.9%
스 1018
 
1.6%
원 846
 
1.3%
구 827
 
1.3%
성 782
 
1.2%
Other values (752) 49738
77.7%

수목위도
Real number (ℝ)

Distinct9945
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.908149
Minimum35.85512
Maximum35.990223
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T07:13:02.066109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.85512
5-th percentile35.862446
Q135.888501
median35.906865
Q335.93348
95-th percentile35.946458
Maximum35.990223
Range0.13510293
Interquartile range (IQR)0.044978417

Descriptive statistics

Standard deviation0.027511272
Coefficient of variation (CV)0.00076615676
Kurtosis-1.0517195
Mean35.908149
Median Absolute Deviation (MAD)0.023661765
Skewness-0.097752324
Sum359081.49
Variance0.00075687006
MonotonicityNot monotonic
2023-12-13T07:13:02.213258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.91341019 3
 
< 0.1%
35.913414 3
 
< 0.1%
35.91339874 3
 
< 0.1%
35.90172851 2
 
< 0.1%
35.94370521 2
 
< 0.1%
35.9195742 2
 
< 0.1%
35.88306046 2
 
< 0.1%
35.8731308 2
 
< 0.1%
35.89031219 2
 
< 0.1%
35.94378662 2
 
< 0.1%
Other values (9935) 9977
99.8%
ValueCountFrequency (%)
35.85512007 1
< 0.1%
35.85517861 1
< 0.1%
35.8551795 1
< 0.1%
35.85519185 1
< 0.1%
35.85519632 1
< 0.1%
35.85520479 1
< 0.1%
35.85525636 1
< 0.1%
35.85525746 1
< 0.1%
35.85526516 1
< 0.1%
35.85528016 1
< 0.1%
ValueCountFrequency (%)
35.990223 1
< 0.1%
35.98891586 1
< 0.1%
35.98694192 1
< 0.1%
35.98566898 1
< 0.1%
35.98430906 1
< 0.1%
35.98403001 1
< 0.1%
35.98402404 1
< 0.1%
35.98021826 1
< 0.1%
35.97946167 1
< 0.1%
35.97885513 1
< 0.1%

수목경도
Real number (ℝ)

Distinct9758
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.58275
Minimum128.53836
Maximum128.73751
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T07:13:02.405173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.53836
5-th percentile128.5439
Q1128.55992
median128.58678
Q3128.60181
95-th percentile128.61797
Maximum128.73751
Range0.199145
Interquartile range (IQR)0.04189585

Descriptive statistics

Standard deviation0.025671377
Coefficient of variation (CV)0.00019964868
Kurtosis0.93056448
Mean128.58275
Median Absolute Deviation (MAD)0.01968725
Skewness0.36472949
Sum1285827.5
Variance0.00065901959
MonotonicityNot monotonic
2023-12-13T07:13:02.571451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.591217 6
 
0.1%
128.5482941 5
 
0.1%
128.5825653 4
 
< 0.1%
128.582428 4
 
< 0.1%
128.5986633 4
 
< 0.1%
128.5969696 4
 
< 0.1%
128.6014557 3
 
< 0.1%
128.5908051 3
 
< 0.1%
128.5969238 3
 
< 0.1%
128.5913849 3
 
< 0.1%
Other values (9748) 9961
99.6%
ValueCountFrequency (%)
128.5383625 1
< 0.1%
128.5384467 1
< 0.1%
128.538553 1
< 0.1%
128.5385586 1
< 0.1%
128.5385641 1
< 0.1%
128.538591 1
< 0.1%
128.5385995 1
< 0.1%
128.5386037 1
< 0.1%
128.5386071 1
< 0.1%
128.5386139 1
< 0.1%
ValueCountFrequency (%)
128.7375075 1
< 0.1%
128.7280909 1
< 0.1%
128.7268812 1
< 0.1%
128.7262637 1
< 0.1%
128.7261257 1
< 0.1%
128.7258912 1
< 0.1%
128.7258606 1
< 0.1%
128.7254245 1
< 0.1%
128.7230588 1
< 0.1%
128.7196837 1
< 0.1%

도로명주소
Text

MISSING 

Distinct104
Distinct (%)40.6%
Missing9744
Missing (%)97.4%
Memory size156.2 KiB
2023-12-13T07:13:02.982840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length20
Mean length16.566406
Min length15

Characters and Unicode

Total characters4241
Distinct characters70
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

Unique57 ?
Unique (%)22.3%

Sample

1st row대구광역시 북구 공평로 135
2nd row대구광역시 북구 매천로18길 34
3rd row대구광역시 북구 복현로 105
4th row대구광역시 중구 명륜로 60
5th row대구광역시 동구 아양로 245
ValueCountFrequency (%)
대구광역시 256
25.0%
북구 193
18.8%
중구 58
 
5.7%
복현로 22
 
2.1%
국채보상로 16
 
1.6%
대천로 16
 
1.6%
670 12
 
1.2%
매천로2길 12
 
1.2%
132 11
 
1.1%
매천로18길 11
 
1.1%
Other values (143) 417
40.7%
2023-12-13T07:13:03.499631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
768
18.1%
구 530
12.5%
대 294
 
6.9%
시 257
 
6.1%
광 256
 
6.0%
역 256
 
6.0%
로 256
 
6.0%
북 199
 
4.7%
1 170
 
4.0%
2 94
 
2.2%
Other values (60) 1161
27.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2731
64.4%
Space Separator 768
 
18.1%
Decimal Number 732
 
17.3%
Dash Punctuation 10
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 530
19.4%
대 294
10.8%
시 257
9.4%
광 256
9.4%
역 256
9.4%
로 256
9.4%
북 199
 
7.3%
중 71
 
2.6%
길 56
 
2.1%
천 51
 
1.9%
Other values (48) 505
18.5%
Decimal Number
ValueCountFrequency (%)
1 170
23.2%
2 94
12.8%
0 76
10.4%
9 66
 
9.0%
4 65
 
8.9%
3 57
 
7.8%
8 56
 
7.7%
5 54
 
7.4%
7 50
 
6.8%
6 44
 
6.0%
Space Separator
ValueCountFrequency (%)
768
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2731
64.4%
Common 1510
35.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 530
19.4%
대 294
10.8%
시 257
9.4%
광 256
9.4%
역 256
9.4%
로 256
9.4%
북 199
 
7.3%
중 71
 
2.6%
길 56
 
2.1%
천 51
 
1.9%
Other values (48) 505
18.5%
Common
ValueCountFrequency (%)
768
50.9%
1 170
 
11.3%
2 94
 
6.2%
0 76
 
5.0%
9 66
 
4.4%
4 65
 
4.3%
3 57
 
3.8%
8 56
 
3.7%
5 54
 
3.6%
7 50
 
3.3%
Other values (2) 54
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2731
64.4%
ASCII 1510
35.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
768
50.9%
1 170
 
11.3%
2 94
 
6.2%
0 76
 
5.0%
9 66
 
4.4%
4 65
 
4.3%
3 57
 
3.8%
8 56
 
3.7%
5 54
 
3.6%
7 50
 
3.3%
Other values (2) 54
 
3.6%
Hangul
ValueCountFrequency (%)
구 530
19.4%
대 294
10.8%
시 257
9.4%
광 256
9.4%
역 256
9.4%
로 256
9.4%
북 199
 
7.3%
중 71
 
2.6%
길 56
 
2.1%
천 51
 
1.9%
Other values (48) 505
18.5%

지번주소
Text

Distinct1702
Distinct (%)17.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T07:13:03.980367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length21
Mean length17.6739
Min length14

Characters and Unicode

Total characters176739
Distinct characters97
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

Unique739 ?
Unique (%)7.4%

Sample

1st row대구광역시 북구 복현동 623
2nd row대구광역시 북구 대현동 52-1
3rd row대구광역시 중구 동인동1가 405-1
4th row대구광역시 북구 동변동 696
5th row대구광역시 중구 대봉동 152-86
ValueCountFrequency (%)
대구광역시 10000
24.8%
북구 8187
20.3%
중구 1624
 
4.0%
산격동 1314
 
3.3%
침산동 757
 
1.9%
동천동 730
 
1.8%
구암동 693
 
1.7%
서변동 612
 
1.5%
태전동 572
 
1.4%
관음동 446
 
1.1%
Other values (1687) 15370
38.1%
2023-12-13T07:13:04.580968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
30305
17.1%
구 20693
11.7%
동 11469
 
6.5%
대 10453
 
5.9%
시 10011
 
5.7%
역 10000
 
5.7%
광 10000
 
5.7%
1 8450
 
4.8%
북 8205
 
4.6%
2 5428
 
3.1%
Other values (87) 51725
29.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 101770
57.6%
Decimal Number 39525
 
22.4%
Space Separator 30305
 
17.1%
Dash Punctuation 5139
 
2.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 20693
20.3%
동 11469
11.3%
대 10453
10.3%
시 10011
9.8%
역 10000
9.8%
광 10000
9.8%
북 8205
 
8.1%
산 2869
 
2.8%
중 1624
 
1.6%
가 1477
 
1.5%
Other values (75) 14969
14.7%
Decimal Number
ValueCountFrequency (%)
1 8450
21.4%
2 5428
13.7%
3 5332
13.5%
6 3651
9.2%
5 3144
 
8.0%
7 3085
 
7.8%
8 2871
 
7.3%
9 2727
 
6.9%
4 2707
 
6.8%
0 2130
 
5.4%
Space Separator
ValueCountFrequency (%)
30305
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5139
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 101770
57.6%
Common 74969
42.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 20693
20.3%
동 11469
11.3%
대 10453
10.3%
시 10011
9.8%
역 10000
9.8%
광 10000
9.8%
북 8205
 
8.1%
산 2869
 
2.8%
중 1624
 
1.6%
가 1477
 
1.5%
Other values (75) 14969
14.7%
Common
ValueCountFrequency (%)
30305
40.4%
1 8450
 
11.3%
2 5428
 
7.2%
3 5332
 
7.1%
- 5139
 
6.9%
6 3651
 
4.9%
5 3144
 
4.2%
7 3085
 
4.1%
8 2871
 
3.8%
9 2727
 
3.6%
Other values (2) 4837
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 101770
57.6%
ASCII 74969
42.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
30305
40.4%
1 8450
 
11.3%
2 5428
 
7.2%
3 5332
 
7.1%
- 5139
 
6.9%
6 3651
 
4.9%
5 3144
 
4.2%
7 3085
 
4.1%
8 2871
 
3.8%
9 2727
 
3.6%
Other values (2) 4837
 
6.5%
Hangul
ValueCountFrequency (%)
구 20693
20.3%
동 11469
11.3%
대 10453
10.3%
시 10011
9.8%
역 10000
9.8%
광 10000
9.8%
북 8205
 
8.1%
산 2869
 
2.8%
중 1624
 
1.6%
가 1477
 
1.5%
Other values (75) 14969
14.7%

행정동
Text

Distinct54
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T07:13:04.859239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length3.6035
Min length3

Characters and Unicode

Total characters36035
Distinct characters53
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

Unique1 ?
Unique (%)< 0.1%

Sample

1st row복현2동
2nd row대현동
3rd row동인동
4th row무태조야동
5th row대봉2동
ValueCountFrequency (%)
산격2동 902
 
9.0%
무태조야동 899
 
9.0%
동천동 709
 
7.1%
구암동 703
 
7.0%
국우동 596
 
6.0%
노원동 577
 
5.8%
관음동 465
 
4.7%
침산3동 435
 
4.3%
읍내동 354
 
3.5%
태전1동 312
 
3.1%
Other values (44) 4048
40.5%
2023-12-13T07:13:05.309482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 10998
30.5%
산 2454
 
6.8%
2 2095
 
5.8%
태 1479
 
4.1%
격 1323
 
3.7%
1 1145
 
3.2%
무 908
 
2.5%
조 899
 
2.5%
야 899
 
2.5%
성 896
 
2.5%
Other values (43) 12939
35.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 31816
88.3%
Decimal Number 4207
 
11.7%
Other Punctuation 12
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 10998
34.6%
산 2454
 
7.7%
태 1479
 
4.6%
격 1323
 
4.2%
무 908
 
2.9%
조 899
 
2.8%
야 899
 
2.8%
성 896
 
2.8%
내 868
 
2.7%
관 772
 
2.4%
Other values (37) 10320
32.4%
Decimal Number
ValueCountFrequency (%)
2 2095
49.8%
1 1145
27.2%
3 715
 
17.0%
4 248
 
5.9%
5 4
 
0.1%
Other Punctuation
ValueCountFrequency (%)
. 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 31816
88.3%
Common 4219
 
11.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 10998
34.6%
산 2454
 
7.7%
태 1479
 
4.6%
격 1323
 
4.2%
무 908
 
2.9%
조 899
 
2.8%
야 899
 
2.8%
성 896
 
2.8%
내 868
 
2.7%
관 772
 
2.4%
Other values (37) 10320
32.4%
Common
ValueCountFrequency (%)
2 2095
49.7%
1 1145
27.1%
3 715
 
16.9%
4 248
 
5.9%
. 12
 
0.3%
5 4
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 31816
88.3%
ASCII 4219
 
11.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 10998
34.6%
산 2454
 
7.7%
태 1479
 
4.6%
격 1323
 
4.2%
무 908
 
2.9%
조 899
 
2.8%
야 899
 
2.8%
성 896
 
2.8%
내 868
 
2.7%
관 772
 
2.4%
Other values (37) 10320
32.4%
ASCII
ValueCountFrequency (%)
2 2095
49.7%
1 1145
27.1%
3 715
 
16.9%
4 248
 
5.9%
. 12
 
0.3%
5 4
 
0.1%

시군구
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
북구
8214 
중구
1626 
동구
 
160

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row북구
2nd row북구
3rd row중구
4th row북구
5th row중구

Common Values

ValueCountFrequency (%)
북구 8214
82.1%
중구 1626
 
16.3%
동구 160
 
1.6%

Length

2023-12-13T07:13:05.450647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:13:05.596037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
북구 8214
82.1%
중구 1626
 
16.3%
동구 160
 
1.6%

흉고직경
Real number (ℝ)

Distinct77
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.284654
Minimum0.05
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T07:13:05.721751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.05
5-th percentile0.12
Q10.2
median0.27
Q30.35
95-th percentile0.4905
Maximum1
Range0.95
Interquartile range (IQR)0.15

Descriptive statistics

Standard deviation0.1154069
Coefficient of variation (CV)0.40542869
Kurtosis0.6355134
Mean0.284654
Median Absolute Deviation (MAD)0.08
Skewness0.67227791
Sum2846.54
Variance0.013318752
MonotonicityNot monotonic
2023-12-13T07:13:05.854596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.25 510
 
5.1%
0.32 403
 
4.0%
0.27 390
 
3.9%
0.28 374
 
3.7%
0.26 353
 
3.5%
0.23 349
 
3.5%
0.29 346
 
3.5%
0.18 341
 
3.4%
0.24 338
 
3.4%
0.19 331
 
3.3%
Other values (67) 6265
62.6%
ValueCountFrequency (%)
0.05 2
 
< 0.1%
0.06 12
 
0.1%
0.07 61
 
0.6%
0.08 82
 
0.8%
0.09 50
 
0.5%
0.1 99
1.0%
0.11 172
1.7%
0.12 151
1.5%
0.13 205
2.1%
0.14 200
2.0%
ValueCountFrequency (%)
1.0 1
 
< 0.1%
0.88 2
< 0.1%
0.86 1
 
< 0.1%
0.84 2
< 0.1%
0.8 1
 
< 0.1%
0.78 2
< 0.1%
0.77 1
 
< 0.1%
0.76 1
 
< 0.1%
0.74 3
< 0.1%
0.73 1
 
< 0.1%

근원직경
Real number (ℝ)

Distinct89
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.349623
Minimum0.07
Maximum1.11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T07:13:05.988344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.07
5-th percentile0.15
Q10.25
median0.33
Q30.43
95-th percentile0.6
Maximum1.11
Range1.04
Interquartile range (IQR)0.18

Descriptive statistics

Standard deviation0.13875184
Coefficient of variation (CV)0.3968613
Kurtosis0.6323106
Mean0.349623
Median Absolute Deviation (MAD)0.09
Skewness0.66092111
Sum3496.23
Variance0.019252073
MonotonicityNot monotonic
2023-12-13T07:13:06.132317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.28 351
 
3.5%
0.35 340
 
3.4%
0.32 339
 
3.4%
0.29 324
 
3.2%
0.31 310
 
3.1%
0.3 302
 
3.0%
0.33 279
 
2.8%
0.36 278
 
2.8%
0.21 270
 
2.7%
0.39 268
 
2.7%
Other values (79) 6939
69.4%
ValueCountFrequency (%)
0.07 2
 
< 0.1%
0.08 15
 
0.1%
0.09 22
 
0.2%
0.1 34
 
0.3%
0.11 130
1.3%
0.12 44
 
0.4%
0.13 72
0.7%
0.14 157
1.6%
0.15 105
1.1%
0.16 157
1.6%
ValueCountFrequency (%)
1.11 1
 
< 0.1%
1.1 1
 
< 0.1%
1.07 1
 
< 0.1%
1.02 2
 
< 0.1%
0.96 1
 
< 0.1%
0.94 4
< 0.1%
0.92 3
< 0.1%
0.91 5
0.1%
0.89 1
 
< 0.1%
0.88 3
< 0.1%

수령
Real number (ℝ)

Distinct103
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.0746
Minimum6
Maximum129
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T07:13:06.272083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile15
Q126
median33
Q343
95-th percentile66
Maximum129
Range123
Interquartile range (IQR)17

Descriptive statistics

Standard deviation15.471929
Coefficient of variation (CV)0.42888704
Kurtosis2.4244342
Mean36.0746
Median Absolute Deviation (MAD)8
Skewness1.2227439
Sum360746
Variance239.38057
MonotonicityNot monotonic
2023-12-13T07:13:06.433076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30 469
 
4.7%
32 430
 
4.3%
35 406
 
4.1%
33 386
 
3.9%
40 381
 
3.8%
27 316
 
3.2%
25 316
 
3.2%
29 315
 
3.1%
24 298
 
3.0%
38 290
 
2.9%
Other values (93) 6393
63.9%
ValueCountFrequency (%)
6 1
 
< 0.1%
7 3
 
< 0.1%
8 10
 
0.1%
9 49
 
0.5%
10 63
0.6%
11 29
 
0.3%
12 33
 
0.3%
13 65
0.7%
14 138
1.4%
15 134
1.3%
ValueCountFrequency (%)
129 1
 
< 0.1%
127 1
 
< 0.1%
125 1
 
< 0.1%
119 2
< 0.1%
116 1
 
< 0.1%
112 3
< 0.1%
108 1
 
< 0.1%
107 4
< 0.1%
106 2
< 0.1%
105 3
< 0.1%

보호덮개
Categorical

IMBALANCE 

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
7395 
주철
1170 
인조잔디
758 
압연강판
 
352
콘크리트
 
186
Other values (4)
 
139

Length

Max length4
Median length4
Mean length3.7567
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 7395
74.0%
주철 1170
 
11.7%
인조잔디 758
 
7.6%
압연강판 352
 
3.5%
콘크리트 186
 
1.9%
아스콘 89
 
0.9%
야자매트 44
 
0.4%
플라스틱 4
 
< 0.1%
목재 2
 
< 0.1%

Length

2023-12-13T07:13:06.567274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:13:06.697455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7395
74.0%
주철 1170
 
11.7%
인조잔디 758
 
7.6%
압연강판 352
 
3.5%
콘크리트 186
 
1.9%
아스콘 89
 
0.9%
야자매트 44
 
0.4%
플라스틱 4
 
< 0.1%
목재 2
 
< 0.1%

보호틀
Categorical

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
사각형
6055 
<NA>
2288 
대상형
1437 
말발굽형
 
187
육각형
 
31

Length

Max length4
Median length3
Mean length3.2473
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사각형 6055
60.6%
<NA> 2288
 
22.9%
대상형 1437
 
14.4%
말발굽형 187
 
1.9%
육각형 31
 
0.3%
원형 2
 
< 0.1%

Length

2023-12-13T07:13:06.847407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:13:06.955183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사각형 6055
60.6%
na 2288
 
22.9%
대상형 1437
 
14.4%
말발굽형 187
 
1.9%
육각형 31
 
0.3%
원형 2
 
< 0.1%

보호틀파손여부
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
8372 
True
1628 
ValueCountFrequency (%)
False 8372
83.7%
True 1628
 
16.3%
2023-12-13T07:13:07.046995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

뿌리융기상태
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
6915 
낮음
1644 
보통
967 
높음
 
474

Length

Max length4
Median length4
Mean length3.383
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 6915
69.2%
낮음 1644
 
16.4%
보통 967
 
9.7%
높음 474
 
4.7%

Length

2023-12-13T07:13:07.147085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:13:07.597087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 6915
69.2%
낮음 1644
 
16.4%
보통 967
 
9.7%
높음 474
 
4.7%

통기
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
9961 
True
 
39
ValueCountFrequency (%)
False 9961
99.6%
True 39
 
0.4%
2023-12-13T07:13:07.711016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

지장물1
Categorical

Distinct11
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
전깃줄
3487 
<NA>
2581 
고압선
1667 
가로등
847 
전신주
621 
Other values (6)
797 

Length

Max length4
Median length3
Mean length3.2271
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
전깃줄 3487
34.9%
<NA> 2581
25.8%
고압선 1667
16.7%
가로등 847
 
8.5%
전신주 621
 
6.2%
표지판 357
 
3.6%
간판 191
 
1.9%
신호등 128
 
1.3%
기타 85
 
0.9%
건물 35
 
0.4%

Length

2023-12-13T07:13:07.852750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
전깃줄 3488
34.9%
na 2581
25.8%
고압선 1667
16.7%
가로등 847
 
8.5%
전신주 621
 
6.2%
표지판 357
 
3.6%
간판 191
 
1.9%
신호등 128
 
1.3%
기타 85
 
0.9%
건물 35
 
0.4%

지장물2
Categorical

Distinct11
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
4150 
고압선
3646 
전깃줄
1124 
가로등
 
282
전신주
 
277
Other values (6)
521 

Length

Max length4
Median length3
Mean length3.3897
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 4150
41.5%
고압선 3646
36.5%
전깃줄 1124
 
11.2%
가로등 282
 
2.8%
전신주 277
 
2.8%
표지판 204
 
2.0%
간판 173
 
1.7%
신호등 62
 
0.6%
기타 49
 
0.5%
건물 32
 
0.3%

Length

2023-12-13T07:13:08.006082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 4150
41.5%
고압선 3647
36.5%
전깃줄 1124
 
11.2%
가로등 282
 
2.8%
전신주 277
 
2.8%
표지판 204
 
2.0%
간판 173
 
1.7%
신호등 62
 
0.6%
기타 49
 
0.5%
건물 32
 
0.3%

수목사진
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T07:13:08.277629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length21
Mean length22.2345
Min length21

Characters and Unicode

Total characters222345
Distinct characters115
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

Unique10000 ?
Unique (%)100.0%

Sample

1st row05-공항로-가-0121-001.jpg
2nd row05-경대로-가-0093-001.jpg
3rd row01-태평로-가-0213-001.jpg
4th row05-동변로18길-가-0046-001.jpg
5th row01-이천로-가-0198-001.jpg
ValueCountFrequency (%)
05-공항로-가-0121-001.jpg 1
 
< 0.1%
05-유통단지로-가-0254-001.jpg 1
 
< 0.1%
05-학정로-가-0924-001.jpg 1
 
< 0.1%
05-칠곡중앙대로-가-0380-001.jpg 1
 
< 0.1%
05-유통단지로7길-가-0188-001.jpg 1
 
< 0.1%
01-달구벌대로-가-0337-001.jpg 1
 
< 0.1%
05-매천로8길-가-0055-001.jpg 1
 
< 0.1%
01-달성로-가-0011-001.jpg 1
 
< 0.1%
05-호국로-가-0174-001.jpg 1
 
< 0.1%
05-유통단지로8길-가-0314-001.jpg 1
 
< 0.1%
Other values (9990) 9990
99.9%
2023-12-13T07:13:08.694368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 46175
20.8%
- 40000
18.0%
1 17145
 
7.7%
5 11009
 
5.0%
가 10006
 
4.5%
. 10000
 
4.5%
j 10000
 
4.5%
p 10000
 
4.5%
g 10000
 
4.5%
로 9854
 
4.4%
Other values (105) 48156
21.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 93943
42.3%
Other Letter 48402
21.8%
Dash Punctuation 40000
18.0%
Lowercase Letter 30000
 
13.5%
Other Punctuation 10000
 
4.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
가 10006
20.7%
로 9854
20.4%
길 2257
 
4.7%
동 1584
 
3.3%
대 1500
 
3.1%
천 1466
 
3.0%
국 1063
 
2.2%
암 1056
 
2.2%
단 1049
 
2.2%
앙 877
 
1.8%
Other values (90) 17690
36.5%
Decimal Number
ValueCountFrequency (%)
0 46175
49.2%
1 17145
 
18.3%
5 11009
 
11.7%
2 4135
 
4.4%
3 3808
 
4.1%
4 2933
 
3.1%
8 2237
 
2.4%
6 2213
 
2.4%
7 2180
 
2.3%
9 2108
 
2.2%
Lowercase Letter
ValueCountFrequency (%)
j 10000
33.3%
p 10000
33.3%
g 10000
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 40000
100.0%
Other Punctuation
ValueCountFrequency (%)
. 10000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 143943
64.7%
Hangul 48402
 
21.8%
Latin 30000
 
13.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
가 10006
20.7%
로 9854
20.4%
길 2257
 
4.7%
동 1584
 
3.3%
대 1500
 
3.1%
천 1466
 
3.0%
국 1063
 
2.2%
암 1056
 
2.2%
단 1049
 
2.2%
앙 877
 
1.8%
Other values (90) 17690
36.5%
Common
ValueCountFrequency (%)
0 46175
32.1%
- 40000
27.8%
1 17145
 
11.9%
5 11009
 
7.6%
. 10000
 
6.9%
2 4135
 
2.9%
3 3808
 
2.6%
4 2933
 
2.0%
8 2237
 
1.6%
6 2213
 
1.5%
Other values (2) 4288
 
3.0%
Latin
ValueCountFrequency (%)
j 10000
33.3%
p 10000
33.3%
g 10000
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 173943
78.2%
Hangul 48402
 
21.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 46175
26.5%
- 40000
23.0%
1 17145
 
9.9%
5 11009
 
6.3%
. 10000
 
5.7%
j 10000
 
5.7%
p 10000
 
5.7%
g 10000
 
5.7%
2 4135
 
2.4%
3 3808
 
2.2%
Other values (5) 11671
 
6.7%
Hangul
ValueCountFrequency (%)
가 10006
20.7%
로 9854
20.4%
길 2257
 
4.7%
동 1584
 
3.3%
대 1500
 
3.1%
천 1466
 
3.0%
국 1063
 
2.2%
암 1056
 
2.2%
단 1049
 
2.2%
앙 877
 
1.8%
Other values (90) 17690
36.5%

보호덮개사진
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T07:13:08.982582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length21
Mean length22.2345
Min length21

Characters and Unicode

Total characters222345
Distinct characters115
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

Unique10000 ?
Unique (%)100.0%

Sample

1st row05-공항로-가-0121-002.jpg
2nd row05-경대로-가-0093-002.jpg
3rd row01-태평로-가-0213-002.jpg
4th row05-동변로18길-가-0046-002.jpg
5th row01-이천로-가-0198-002.jpg
ValueCountFrequency (%)
05-공항로-가-0121-002.jpg 1
 
< 0.1%
05-유통단지로-가-0254-002.jpg 1
 
< 0.1%
05-학정로-가-0924-002.jpg 1
 
< 0.1%
05-칠곡중앙대로-가-0380-002.jpg 1
 
< 0.1%
05-유통단지로7길-가-0188-002.jpg 1
 
< 0.1%
01-달구벌대로-가-0337-002.jpg 1
 
< 0.1%
05-매천로8길-가-0055-002.jpg 1
 
< 0.1%
01-달성로-가-0011-002.jpg 1
 
< 0.1%
05-호국로-가-0174-002.jpg 1
 
< 0.1%
05-유통단지로8길-가-0314-002.jpg 1
 
< 0.1%
Other values (9990) 9990
99.9%
2023-12-13T07:13:09.380526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 46175
20.8%
- 40000
18.0%
2 14135
 
6.4%
5 11009
 
5.0%
가 10006
 
4.5%
. 10000
 
4.5%
j 10000
 
4.5%
p 10000
 
4.5%
g 10000
 
4.5%
로 9854
 
4.4%
Other values (105) 51166
23.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 93943
42.3%
Other Letter 48402
21.8%
Dash Punctuation 40000
18.0%
Lowercase Letter 30000
 
13.5%
Other Punctuation 10000
 
4.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
가 10006
20.7%
로 9854
20.4%
길 2257
 
4.7%
동 1584
 
3.3%
대 1500
 
3.1%
천 1466
 
3.0%
국 1063
 
2.2%
암 1056
 
2.2%
단 1049
 
2.2%
앙 877
 
1.8%
Other values (90) 17690
36.5%
Decimal Number
ValueCountFrequency (%)
0 46175
49.2%
2 14135
 
15.0%
5 11009
 
11.7%
1 7145
 
7.6%
3 3808
 
4.1%
4 2933
 
3.1%
8 2237
 
2.4%
6 2213
 
2.4%
7 2180
 
2.3%
9 2108
 
2.2%
Lowercase Letter
ValueCountFrequency (%)
j 10000
33.3%
p 10000
33.3%
g 10000
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 40000
100.0%
Other Punctuation
ValueCountFrequency (%)
. 10000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 143943
64.7%
Hangul 48402
 
21.8%
Latin 30000
 
13.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
가 10006
20.7%
로 9854
20.4%
길 2257
 
4.7%
동 1584
 
3.3%
대 1500
 
3.1%
천 1466
 
3.0%
국 1063
 
2.2%
암 1056
 
2.2%
단 1049
 
2.2%
앙 877
 
1.8%
Other values (90) 17690
36.5%
Common
ValueCountFrequency (%)
0 46175
32.1%
- 40000
27.8%
2 14135
 
9.8%
5 11009
 
7.6%
. 10000
 
6.9%
1 7145
 
5.0%
3 3808
 
2.6%
4 2933
 
2.0%
8 2237
 
1.6%
6 2213
 
1.5%
Other values (2) 4288
 
3.0%
Latin
ValueCountFrequency (%)
j 10000
33.3%
p 10000
33.3%
g 10000
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 173943
78.2%
Hangul 48402
 
21.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 46175
26.5%
- 40000
23.0%
2 14135
 
8.1%
5 11009
 
6.3%
. 10000
 
5.7%
j 10000
 
5.7%
p 10000
 
5.7%
g 10000
 
5.7%
1 7145
 
4.1%
3 3808
 
2.2%
Other values (5) 11671
 
6.7%
Hangul
ValueCountFrequency (%)
가 10006
20.7%
로 9854
20.4%
길 2257
 
4.7%
동 1584
 
3.3%
대 1500
 
3.1%
천 1466
 
3.0%
국 1063
 
2.2%
암 1056
 
2.2%
단 1049
 
2.2%
앙 877
 
1.8%
Other values (90) 17690
36.5%

Sample

관리번호수종수목구분수목유형식재일관리기관전화번호관리기관명데이터기준일자도로명도로종류도로시작점도로종료점수목위치수목위도수목경도도로명주소지번주소행정동시군구흉고직경근원직경수령보호덮개보호틀보호틀파손여부뿌리융기상태통기지장물1지장물2수목사진보호덮개사진
100705-공항로-가-0121양버즘나무가로수교목2007-10-08053-665-2858대구광역시 북구청2022-12-09공항로광역시도대구광역시 북구 복현동 200-1대구광역시 동구 입석동 981-10장미아파트 앞35.898386128.618298<NA>대구광역시 북구 복현동 623복현2동북구0.230.2520<NA>대상형N낮음N<NA><NA>05-공항로-가-0121-001.jpg05-공항로-가-0121-002.jpg
1338905-경대로-가-0093은행나무가로수교목1998-09-25053-665-2858대구광역시 북구청2022-12-09경대로광역시도대구광역시 북구 대현동 219-2대구광역시 북구 복현동 479-4경북대 앞35.887894128.616224<NA>대구광역시 북구 대현동 52-1대현동북구0.230.2829주철사각형N<NA>N전깃줄고압선05-경대로-가-0093-001.jpg05-경대로-가-0093-002.jpg
2290301-태평로-가-0213양버즘나무가로수교목1978-11-04053-661-2856대구광역시 중구청2022-12-09태평로광역시도대구광역시 중구 달성동 182-88대구광역시 중구 동인동3가 371-1동인꽃도매시장 건너35.873081128.603256<NA>대구광역시 중구 동인동1가 405-1동인동중구0.580.6249<NA>대상형N<NA>N<NA><NA>01-태평로-가-0213-001.jpg01-태평로-가-0213-002.jpg
122905-동변로18길-가-0046중국단풍가로수교목1968-04-29053-665-2858대구광역시 북구청2022-12-09동변로18길광역시도대구광역시 북구 동변동 684대구광역시 북구 동변동 541-1유니버시아드선수촌1단지 앞35.918401128.606059<NA>대구광역시 북구 동변동 696무태조야동북구0.250.3159<NA><NA>N낮음N고압선전깃줄05-동변로18길-가-0046-001.jpg05-동변로18길-가-0046-002.jpg
2093601-이천로-가-0198은행나무가로수교목1993-04-29053-661-2856대구광역시 중구청2022-12-09이천로광역시도대구광역시 남구 봉덕동 626-2대구광역시 중구 봉산동 172-14건들바위 역사공원 앞35.856255128.598297<NA>대구광역시 중구 대봉동 152-86대봉2동중구0.270.2934야자매트사각형N<NA>N<NA><NA>01-이천로-가-0198-001.jpg01-이천로-가-0198-002.jpg
2414501-태평로-가-0271양버즘나무가로수교목2006-11-04053-661-2856대구광역시 중구청2022-12-09태평로광역시도대구광역시 중구 달성동 182-88대구광역시 중구 동인동3가 371-1스피드자전거35.873146128.610046<NA>대구광역시 중구 동인동3가 367-54동인동중구0.250.3421<NA>대상형N<NA>N전깃줄고압선01-태평로-가-0271-001.jpg01-태평로-가-0271-002.jpg
677505-대천로-가-0179은행나무가로수교목2007-03-31053-665-2858대구광역시 북구청2022-12-09대천로광역시도대구광역시 북구 읍내동 1338대구광역시 북구 구암동 789-4칠곡화성타운 앞35.93688128.560189<NA>대구광역시 북구 동천동 963-1동천동북구0.160.1820주철사각형N<NA>N전깃줄고압선05-대천로-가-0179-001.jpg05-대천로-가-0179-002.jpg
477805-구암로32길-가-0090중국단풍가로수교목1947-11-04053-665-2858대구광역시 북구청2022-12-09구암로32길광역시도대구광역시 북구 구암동 651대구광역시 북구 구암동 655-4칠곡서한타운3차아파트35.928168128.55558<NA>대구광역시 북구 구암동 713구암동북구0.430.46100<NA><NA>N<NA>N<NA><NA>05-구암로32길-가-0090-001.jpg05-구암로32길-가-0090-002.jpg
2190701-달성공원로-가-0098양버즘나무가로수교목1972-04-15053-661-2856대구광역시 중구청2022-12-09달성공원로광역시도대구광역시 중구 대신동 179-11대구광역시 중구 달성동 176-1달성파크푸르지오 앞35.878025128.578064<NA>대구광역시 중구 달성동 176-2성내3동중구0.650.8955<NA>사각형N<NA>N전깃줄고압선01-달성공원로-가-0098-001.jpg01-달성공원로-가-0098-002.jpg
1209305-침산로-가-0431양버즘나무가로수교목1982-03-24053-665-2858대구광역시 북구청2022-12-09침산로광역시도대구광역시 중구 태평로3가 205-9대구광역시 북구 침산동 764삼성매장 앞35.886917128.59111<NA>대구광역시 북구 침산동 242-2침산3동북구0.540.6745<NA>사각형Y보통N<NA><NA>05-침산로-가-0431-001.jpg05-침산로-가-0431-002.jpg
관리번호수종수목구분수목유형식재일관리기관전화번호관리기관명데이터기준일자도로명도로종류도로시작점도로종료점수목위치수목위도수목경도도로명주소지번주소행정동시군구흉고직경근원직경수령보호덮개보호틀보호틀파손여부뿌리융기상태통기지장물1지장물2수목사진보호덮개사진
241205-성북로15길-가-0051양버즘나무가로수교목1989-09-25053-665-2858대구광역시 북구청2022-12-09성북로15길광역시도대구광역시 북구 침산동 335대구광역시 북구 침산동 681-3삼용다이캐스팅 앞35.89703128.590805<NA>대구광역시 북구 침산동 600침산3동북구0.450.5538<NA>사각형N낮음N전신주고압선05-성북로15길-가-0051-001.jpg05-성북로15길-가-0051-002.jpg
1295605-유통단지로-가-0093중국단풍가로수교목1959-03-16053-665-2858대구광역시 북구청2022-12-09유통단지로광역시도대구광역시 북구 산격동 1629대구광역시 북구 산격동 1775혼수백화점 옆35.906203128.608648<NA>대구광역시 북구 산격동 1664산격2동북구0.290.3468콘크리트<NA>N<NA>N고압선전깃줄05-유통단지로-가-0093-001.jpg05-유통단지로-가-0093-002.jpg
295705-대학로-가-0243은행나무가로수교목1987-04-07053-665-2858대구광역시 북구청2022-12-09대학로광역시도대구광역시 북구 산격동 1382-28대구광역시 북구 복현동 400-1삼영타일 앞35.89136128.606903<NA>대구광역시 북구 산격동 1417-5산격3동북구0.320.3940<NA>사각형N<NA>N고압선전깃줄05-대학로-가-0243-001.jpg05-대학로-가-0243-002.jpg
23505-팔거천동로24길-가-0030느티나무가로수교목1984-09-30053-665-2858대구광역시 북구청2022-12-09팔거천동로24길광역시도대구광역시 북구 동천동 948-16대구광역시 북구 동천동 880-1북부초등학교 앞35.933756128.559023대구광역시 북구 동천로 20대구광역시 북구 동천동 880동천동북구0.350.3843<NA>말발굽형N<NA>N전깃줄고압선05-팔거천동로24길-가-0030-001.jpg05-팔거천동로24길-가-0030-002.jpg
752605-검단로-가-0493은행나무가로수교목1998-05-06053-665-2858대구광역시 북구청2022-12-09검단로광역시도대구광역시 북구 산격동 492-47대구광역시 북구 검단동 1128-3대불공원 앞35.901387128.615687<NA>대구광역시 북구 산격동 487-36산격2동북구0.230.2529<NA>사각형N<NA>N표지판고압선05-검단로-가-0493-001.jpg05-검단로-가-0493-002.jpg
1931305-동변로-가-0018은행나무가로수교목2003-04-07053-665-2858대구광역시 북구청2022-12-09동변로광역시도대구광역시 북구 동변동 682대구광역시 북구 동변동 659유니버시아드선수촌1단지 앞35.916821128.603841<NA>대구광역시 북구 동변동 681무태조야동북구0.190.2424주철사각형N<NA>N고압선<NA>05-동변로-가-0018-001.jpg05-동변로-가-0018-002.jpg
1924805-매천로2길-가-0062은행나무가로수교목1992-09-30053-665-2858대구광역시 북구청2022-12-09매천로2길광역시도대구광역시 북구 팔달동 29대구광역시 북구 팔달동 524-21팔달초등학교 앞35.8977128.544409<NA>대구광역시 북구 팔달동 72-4관문동북구0.280.3735<NA><NA>N<NA>N기타<NA>05-매천로2길-가-0062-001.jpg05-매천로2길-가-0062-002.jpg
1267605-호국로-가-0535느티나무가로수교목1995-04-29053-665-2858대구광역시 북구청2022-12-09호국로광역시도대구광역시 북구 산격동 570-6대구광역시 북구 동호동 413-1호국로 도로변35.946286128.5765<NA>대구광역시 북구 국우동 1126국우동북구0.260.3332<NA>대상형N<NA>N<NA><NA>05-호국로-가-0535-001.jpg05-호국로-가-0535-002.jpg
61105-유통단지로24길-가-0101중국단풍가로수교목1947-04-21053-665-2858대구광역시 북구청2022-12-09유통단지로24길광역시도대구광역시 북구 산격동 1707대구광역시 북구 산격동 1819아델골프 스크린 앞35.909124128.615467<NA>대구광역시 북구 산격동 1696산격2동북구0.440.48103<NA><NA>N높음N간판고압선05-유통단지로24길-가-0101-001.jpg05-유통단지로24길-가-0101-002.jpg
549405-동암로-가-0088은행나무가로수교목2013-10-20053-665-2858대구광역시 북구청2022-12-09동암로광역시도대구광역시 북구 읍내동 516대구광역시 북구 국우동 1101-5파리바게트 앞35.944318128.561312<NA>대구광역시 북구 동천동 959-3동천동북구0.110.1214인조잔디사각형N<NA>N가로등표지판05-동암로-가-0088-001.jpg05-동암로-가-0088-002.jpg