Overview

Dataset statistics

Number of variables32
Number of observations10000
Missing cells19594
Missing cells (%)6.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.6 MiB
Average record size in memory272.0 B

Variable types

Text11
Categorical11
Numeric8
Boolean2

Dataset

Description경기도 의정부시 관내 가로수정보 데이터로 관리번호, 수목명, 수목구분, 수목유형, 식재일, 관리기관전화번호, 관리기관명, 도로명, 도로종류, 도로시작점, 도로종료점, 수목위치, 수목위도, 수목경도, 도로명주소, 지번주소, 행정동, 수고, 수관폭, 흉고직경, 근원직경, 식재간격, 도로폭, 보도폭, 보호덮개, 보호틀, 통기_관수, 식재제한지역, 지장물여부, 데이타기준일자, 수목전경사진명, 보호덮개사진명 등의 항목으로 구성되어 있습니다.
URLhttps://www.data.go.kr/data/15095497/fileData.do

Alerts

수목구분 has constant value ""Constant
수목유형 has constant value ""Constant
관리기관전화번호 has constant value ""Constant
관리기관명 has constant value ""Constant
도로종류 has constant value ""Constant
식재제한지역 has constant value ""Constant
데이타기준일자 has constant value ""Constant
식재일 is highly imbalanced (55.8%)Imbalance
보호덮개 is highly imbalanced (58.8%)Imbalance
통기_관수 is highly imbalanced (73.5%)Imbalance
수목위치 has 1796 (18.0%) missing valuesMissing
도로명주소 has 9973 (99.7%) missing valuesMissing
식재간격 has 941 (9.4%) missing valuesMissing
보도폭 has 747 (7.5%) missing valuesMissing
지장물여부 has 6137 (61.4%) missing valuesMissing
관리번호 has unique valuesUnique
수목전경사진 has unique valuesUnique
보호덮개사진 has unique valuesUnique

Reproduction

Analysis started2023-12-12 13:45:14.338352
Analysis finished2023-12-12 13:45:16.173510
Duration1.84 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
2023-12-12T22:45:16.411805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length9
Mean length9.6676
Min length9

Characters and Unicode

Total characters96676
Distinct characters110
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 row직곡로-우-037
2nd row태평로-우-002
3rd row송양로-우-033
4th row능곡로-좌-034
5th row의정로46번길-좌-044
ValueCountFrequency (%)
직곡로-우-037 1
 
< 0.1%
장곡로-좌-294 1
 
< 0.1%
체육로-좌-090 1
 
< 0.1%
능곡로-우-012 1
 
< 0.1%
평화로-우-249 1
 
< 0.1%
전좌로-우-015 1
 
< 0.1%
평화로-우-052 1
 
< 0.1%
본원로-우-018 1
 
< 0.1%
체육로-좌-089 1
 
< 0.1%
외미로104번길-좌-054 1
 
< 0.1%
Other values (9990) 9990
99.9%
2023-12-12T22:45:16.839447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 20000
20.7%
로 9889
 
10.2%
0 8727
 
9.0%
우 5166
 
5.3%
1 5068
 
5.2%
좌 4866
 
5.0%
2 4298
 
4.4%
3 3070
 
3.2%
4 2797
 
2.9%
5 2262
 
2.3%
Other values (100) 30533
31.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 42900
44.4%
Decimal Number 33776
34.9%
Dash Punctuation 20000
20.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 9889
23.1%
우 5166
 
12.0%
좌 4866
 
11.3%
길 1477
 
3.4%
번 1360
 
3.2%
민 1021
 
2.4%
용 854
 
2.0%
동 748
 
1.7%
곡 657
 
1.5%
신 645
 
1.5%
Other values (89) 16217
37.8%
Decimal Number
ValueCountFrequency (%)
0 8727
25.8%
1 5068
15.0%
2 4298
12.7%
3 3070
 
9.1%
4 2797
 
8.3%
5 2262
 
6.7%
6 2015
 
6.0%
7 1871
 
5.5%
9 1848
 
5.5%
8 1820
 
5.4%
Dash Punctuation
ValueCountFrequency (%)
- 20000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 53776
55.6%
Hangul 42900
44.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 9889
23.1%
우 5166
 
12.0%
좌 4866
 
11.3%
길 1477
 
3.4%
번 1360
 
3.2%
민 1021
 
2.4%
용 854
 
2.0%
동 748
 
1.7%
곡 657
 
1.5%
신 645
 
1.5%
Other values (89) 16217
37.8%
Common
ValueCountFrequency (%)
- 20000
37.2%
0 8727
16.2%
1 5068
 
9.4%
2 4298
 
8.0%
3 3070
 
5.7%
4 2797
 
5.2%
5 2262
 
4.2%
6 2015
 
3.7%
7 1871
 
3.5%
9 1848
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 53776
55.6%
Hangul 42900
44.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 20000
37.2%
0 8727
16.2%
1 5068
 
9.4%
2 4298
 
8.0%
3 3070
 
5.7%
4 2797
 
5.2%
5 2262
 
4.2%
6 2015
 
3.7%
7 1871
 
3.5%
9 1848
 
3.4%
Hangul
ValueCountFrequency (%)
로 9889
23.1%
우 5166
 
12.0%
좌 4866
 
11.3%
길 1477
 
3.4%
번 1360
 
3.2%
민 1021
 
2.4%
용 854
 
2.0%
동 748
 
1.7%
곡 657
 
1.5%
신 645
 
1.5%
Other values (89) 16217
37.8%

수목명
Categorical

Distinct37
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
은행나무
2961 
이팝나무
1944 
느티나무
1408 
벚나무
1257 
양버즘나무
523 
Other values (32)
1907 

Length

Max length6
Median length4
Mean length4.0153
Min length2

Unique

Unique6 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
은행나무 2961
29.6%
이팝나무 1944
19.4%
느티나무 1408
14.1%
벚나무 1257
12.6%
양버즘나무 523
 
5.2%
메타세콰이어 427
 
4.3%
중국단풍나무 383
 
3.8%
잣나무 285
 
2.9%
소나무 172
 
1.7%
단풍나무 145
 
1.5%
Other values (27) 495
 
5.0%

Length

2023-12-12T22:45:17.273317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
은행나무 2961
29.6%
이팝나무 1944
19.4%
느티나무 1408
14.1%
벚나무 1257
12.6%
양버즘나무 523
 
5.2%
메타세콰이어 427
 
4.3%
중국단풍나무 383
 
3.8%
잣나무 285
 
2.9%
소나무 172
 
1.7%
단풍나무 145
 
1.5%
Other values (27) 495
 
5.0%

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

2023-12-12T22:45:17.449063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:45:17.575657image/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

2023-12-12T22:45:17.714408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:45:17.839216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
교목 10000
100.0%

식재일
Categorical

IMBALANCE 

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2009-04-01
7146 
2010-04-01
1544 
2019-04-01
 
710
2016-04-01
 
217
2017-04-01
 
154
Other values (4)
 
229

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2009-04-01
2nd row2009-04-01
3rd row2009-04-01
4th row2009-04-01
5th row2009-04-01

Common Values

ValueCountFrequency (%)
2009-04-01 7146
71.5%
2010-04-01 1544
 
15.4%
2019-04-01 710
 
7.1%
2016-04-01 217
 
2.2%
2017-04-01 154
 
1.5%
2013-04-01 135
 
1.4%
2018-04-01 68
 
0.7%
2020-04-01 24
 
0.2%
2015-04-01 2
 
< 0.1%

Length

2023-12-12T22:45:17.964731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:45:18.099248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2009-04-01 7146
71.5%
2010-04-01 1544
 
15.4%
2019-04-01 710
 
7.1%
2016-04-01 217
 
2.2%
2017-04-01 154
 
1.5%
2013-04-01 135
 
1.4%
2018-04-01 68
 
0.7%
2020-04-01 24
 
0.2%
2015-04-01 2
 
< 0.1%

관리기관전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
031-828-2114
10000 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row031-828-2114
2nd row031-828-2114
3rd row031-828-2114
4th row031-828-2114
5th row031-828-2114

Common Values

ValueCountFrequency (%)
031-828-2114 10000
100.0%

Length

2023-12-12T22:45:18.260400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:45:18.373146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
031-828-2114 10000
100.0%

관리기관명
Categorical

CONSTANT 

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

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경기도 의정부시
2nd row경기도 의정부시
3rd row경기도 의정부시
4th row경기도 의정부시
5th row경기도 의정부시

Common Values

ValueCountFrequency (%)
경기도 의정부시 10000
100.0%

Length

2023-12-12T22:45:18.493880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:45:18.618742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 10000
50.0%
의정부시 10000
50.0%

도로명
Text

Distinct127
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T22:45:18.906940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length3
Mean length3.648
Min length3

Characters and Unicode

Total characters36480
Distinct characters109
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

Unique1 ?
Unique (%)< 0.1%

Sample

1st row직곡로
2nd row태평로
3rd row송양로
4th row능곡로
5th row의정로46번길
ValueCountFrequency (%)
호국로 477
 
4.8%
평화로 452
 
4.5%
동일로 448
 
4.5%
민락로 389
 
3.9%
용민로 381
 
3.8%
장곡로 371
 
3.7%
천보로 360
 
3.6%
신흥로 346
 
3.5%
문충로 333
 
3.3%
서부로 299
 
3.0%
Other values (117) 6144
61.4%
2023-12-12T22:45:19.334159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
로 9889
27.1%
길 1428
 
3.9%
번 1311
 
3.6%
민 1021
 
2.8%
용 854
 
2.3%
2 822
 
2.3%
동 748
 
2.1%
1 675
 
1.9%
곡 657
 
1.8%
신 645
 
1.8%
Other values (99) 18430
50.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 32802
89.9%
Decimal Number 3678
 
10.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 9889
30.1%
길 1428
 
4.4%
번 1311
 
4.0%
민 1021
 
3.1%
용 854
 
2.6%
동 748
 
2.3%
곡 657
 
2.0%
신 645
 
2.0%
호 618
 
1.9%
산 612
 
1.9%
Other values (89) 15019
45.8%
Decimal Number
ValueCountFrequency (%)
2 822
22.3%
1 675
18.4%
4 489
13.3%
5 392
10.7%
9 295
 
8.0%
6 270
 
7.3%
0 251
 
6.8%
3 176
 
4.8%
8 163
 
4.4%
7 145
 
3.9%

Most occurring scripts

ValueCountFrequency (%)
Hangul 32802
89.9%
Common 3678
 
10.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 9889
30.1%
길 1428
 
4.4%
번 1311
 
4.0%
민 1021
 
3.1%
용 854
 
2.6%
동 748
 
2.3%
곡 657
 
2.0%
신 645
 
2.0%
호 618
 
1.9%
산 612
 
1.9%
Other values (89) 15019
45.8%
Common
ValueCountFrequency (%)
2 822
22.3%
1 675
18.4%
4 489
13.3%
5 392
10.7%
9 295
 
8.0%
6 270
 
7.3%
0 251
 
6.8%
3 176
 
4.8%
8 163
 
4.4%
7 145
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 32802
89.9%
ASCII 3678
 
10.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
로 9889
30.1%
길 1428
 
4.4%
번 1311
 
4.0%
민 1021
 
3.1%
용 854
 
2.6%
동 748
 
2.3%
곡 657
 
2.0%
신 645
 
2.0%
호 618
 
1.9%
산 612
 
1.9%
Other values (89) 15019
45.8%
ASCII
ValueCountFrequency (%)
2 822
22.3%
1 675
18.4%
4 489
13.3%
5 392
10.7%
9 295
 
8.0%
6 270
 
7.3%
0 251
 
6.8%
3 176
 
4.8%
8 163
 
4.4%
7 145
 
3.9%

도로종류
Categorical

CONSTANT 

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

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
시도 10000
100.0%

Length

2023-12-12T22:45:19.461890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:45:19.560849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
시도 10000
100.0%

도로시작점
Text

Distinct101
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T22:45:19.818883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length17
Mean length9.9783
Min length7

Characters and Unicode

Total characters99783
Distinct characters57
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

Unique0 ?
Unique (%)0.0%

Sample

1st row가능동 803
2nd row의정부동 141-24
3rd row낙양동 719
4th row신곡동 690
5th row의정부동 617
ValueCountFrequency (%)
용현동 1511
 
7.1%
호원동 1273
 
6.0%
장암동 1145
 
5.4%
산 1120
 
5.2%
가능동 993
 
4.6%
의정부동 835
 
3.9%
신곡동 792
 
3.7%
민락동 702
 
3.3%
고산동 646
 
3.0%
금오동 523
 
2.4%
Other values (112) 11823
55.3%
2023-12-12T22:45:20.256215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11363
 
11.4%
동 9888
 
9.9%
1 7834
 
7.9%
- 7593
 
7.6%
4 5069
 
5.1%
2 4424
 
4.4%
3 4032
 
4.0%
6 3732
 
3.7%
5 3404
 
3.4%
7 2853
 
2.9%
Other values (47) 39591
39.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 41044
41.1%
Decimal Number 38624
38.7%
Space Separator 11363
 
11.4%
Dash Punctuation 7593
 
7.6%
Other Punctuation 1159
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 9888
24.1%
산 2067
 
5.0%
원 1744
 
4.2%
호 1725
 
4.2%
장 1622
 
4.0%
현 1511
 
3.7%
용 1511
 
3.7%
능 1470
 
3.6%
가 1470
 
3.6%
시 1271
 
3.1%
Other values (34) 16765
40.8%
Decimal Number
ValueCountFrequency (%)
1 7834
20.3%
4 5069
13.1%
2 4424
11.5%
3 4032
10.4%
6 3732
9.7%
5 3404
8.8%
7 2853
 
7.4%
0 2811
 
7.3%
8 2395
 
6.2%
9 2070
 
5.4%
Space Separator
ValueCountFrequency (%)
11363
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7593
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1159
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 58739
58.9%
Hangul 41044
41.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 9888
24.1%
산 2067
 
5.0%
원 1744
 
4.2%
호 1725
 
4.2%
장 1622
 
4.0%
현 1511
 
3.7%
용 1511
 
3.7%
능 1470
 
3.6%
가 1470
 
3.6%
시 1271
 
3.1%
Other values (34) 16765
40.8%
Common
ValueCountFrequency (%)
11363
19.3%
1 7834
13.3%
- 7593
12.9%
4 5069
8.6%
2 4424
 
7.5%
3 4032
 
6.9%
6 3732
 
6.4%
5 3404
 
5.8%
7 2853
 
4.9%
0 2811
 
4.8%
Other values (3) 5624
9.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 58739
58.9%
Hangul 41044
41.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11363
19.3%
1 7834
13.3%
- 7593
12.9%
4 5069
8.6%
2 4424
 
7.5%
3 4032
 
6.9%
6 3732
 
6.4%
5 3404
 
5.8%
7 2853
 
4.9%
0 2811
 
4.8%
Other values (3) 5624
9.6%
Hangul
ValueCountFrequency (%)
동 9888
24.1%
산 2067
 
5.0%
원 1744
 
4.2%
호 1725
 
4.2%
장 1622
 
4.0%
현 1511
 
3.7%
용 1511
 
3.7%
능 1470
 
3.6%
가 1470
 
3.6%
시 1271
 
3.1%
Other values (34) 16765
40.8%

도로종료점
Text

Distinct111
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T22:45:20.637075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length14
Mean length9.6589
Min length7

Characters and Unicode

Total characters96589
Distinct characters49
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

Unique0 ?
Unique (%)0.0%

Sample

1st row가능동 809-0
2nd row의정부동 216-22
3rd row민락동 908-0
4th row신곡동 96-1
5th row의정부동 627-1
ValueCountFrequency (%)
산 1790
 
8.1%
녹양동 1411
 
6.4%
민락동 1255
 
5.7%
금오동 1124
 
5.1%
신곡동 1083
 
4.9%
용현동 1001
 
4.5%
의정부동 693
 
3.1%
가능동 671
 
3.0%
384-1 645
 
2.9%
자일동 591
 
2.7%
Other values (120) 11750
53.4%
2023-12-12T22:45:21.116548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12014
 
12.4%
동 9888
 
10.2%
- 9783
 
10.1%
1 5684
 
5.9%
4 4479
 
4.6%
8 4368
 
4.5%
0 4028
 
4.2%
2 3994
 
4.1%
3 3658
 
3.8%
6 3147
 
3.3%
Other values (39) 35546
36.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 37472
38.8%
Decimal Number 36479
37.8%
Space Separator 12014
 
12.4%
Dash Punctuation 9783
 
10.1%
Other Punctuation 841
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 9888
26.4%
양 2613
 
7.0%
산 2174
 
5.8%
녹 1863
 
5.0%
락 1255
 
3.3%
민 1255
 
3.3%
곡 1154
 
3.1%
오 1124
 
3.0%
금 1124
 
3.0%
신 1083
 
2.9%
Other values (26) 13939
37.2%
Decimal Number
ValueCountFrequency (%)
1 5684
15.6%
4 4479
12.3%
8 4368
12.0%
0 4028
11.0%
2 3994
10.9%
3 3658
10.0%
6 3147
8.6%
5 3057
8.4%
7 2711
7.4%
9 1353
 
3.7%
Space Separator
ValueCountFrequency (%)
12014
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9783
100.0%
Other Punctuation
ValueCountFrequency (%)
, 841
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 59117
61.2%
Hangul 37472
38.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 9888
26.4%
양 2613
 
7.0%
산 2174
 
5.8%
녹 1863
 
5.0%
락 1255
 
3.3%
민 1255
 
3.3%
곡 1154
 
3.1%
오 1124
 
3.0%
금 1124
 
3.0%
신 1083
 
2.9%
Other values (26) 13939
37.2%
Common
ValueCountFrequency (%)
12014
20.3%
- 9783
16.5%
1 5684
9.6%
4 4479
 
7.6%
8 4368
 
7.4%
0 4028
 
6.8%
2 3994
 
6.8%
3 3658
 
6.2%
6 3147
 
5.3%
5 3057
 
5.2%
Other values (3) 4905
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 59117
61.2%
Hangul 37472
38.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
12014
20.3%
- 9783
16.5%
1 5684
9.6%
4 4479
 
7.6%
8 4368
 
7.4%
0 4028
 
6.8%
2 3994
 
6.8%
3 3658
 
6.2%
6 3147
 
5.3%
5 3057
 
5.2%
Other values (3) 4905
8.3%
Hangul
ValueCountFrequency (%)
동 9888
26.4%
양 2613
 
7.0%
산 2174
 
5.8%
녹 1863
 
5.0%
락 1255
 
3.3%
민 1255
 
3.3%
곡 1154
 
3.1%
오 1124
 
3.0%
금 1124
 
3.0%
신 1083
 
2.9%
Other values (26) 13939
37.2%

수목위치
Text

MISSING 

Distinct2182
Distinct (%)26.6%
Missing1796
Missing (%)18.0%
Memory size156.2 KiB
2023-12-12T22:45:21.354176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length11
Mean length6.0308386
Min length1

Characters and Unicode

Total characters49477
Distinct characters641
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1057 ?
Unique (%)12.9%

Sample

1st row꿈에그린푸르미아파트
2nd row태평로104
3rd row푸르지오7단지
4th row삼도세라믹아파트
5th row백석천
ValueCountFrequency (%)
부용천 225
 
2.7%
중랑천 185
 
2.3%
백석천 156
 
1.9%
주차장 94
 
1.1%
보도 82
 
1.0%
경기도북부청사 66
 
0.8%
회룡역 60
 
0.7%
도봉차량기지 60
 
0.7%
장암더샵포레스트아파트 55
 
0.7%
천보산 54
 
0.7%
Other values (2163) 7167
87.4%
2023-12-12T22:45:21.731294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
아 1973
 
4.0%
트 1870
 
3.8%
파 1743
 
3.5%
로 1611
 
3.3%
1 1350
 
2.7%
지 931
 
1.9%
2 930
 
1.9%
부 911
 
1.8%
천 766
 
1.5%
장 660
 
1.3%
Other values (631) 36732
74.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 43226
87.4%
Decimal Number 5315
 
10.7%
Lowercase Letter 377
 
0.8%
Dash Punctuation 283
 
0.6%
Uppercase Letter 264
 
0.5%
Other Punctuation 9
 
< 0.1%
Math Symbol 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
아 1973
 
4.6%
트 1870
 
4.3%
파 1743
 
4.0%
로 1611
 
3.7%
지 931
 
2.2%
부 911
 
2.1%
천 766
 
1.8%
장 660
 
1.5%
신 634
 
1.5%
단 617
 
1.4%
Other values (570) 31510
72.9%
Uppercase Letter
ValueCountFrequency (%)
L 38
14.4%
S 34
12.9%
H 33
12.5%
K 32
12.1%
C 31
11.7%
J 19
7.2%
G 13
 
4.9%
E 12
 
4.5%
M 8
 
3.0%
D 7
 
2.7%
Other values (14) 37
14.0%
Lowercase Letter
ValueCountFrequency (%)
s 53
14.1%
k 49
13.0%
l 42
11.1%
h 38
10.1%
e 33
8.8%
t 26
 
6.9%
c 18
 
4.8%
g 18
 
4.8%
o 14
 
3.7%
d 14
 
3.7%
Other values (12) 72
19.1%
Decimal Number
ValueCountFrequency (%)
1 1350
25.4%
2 930
17.5%
3 602
11.3%
6 397
 
7.5%
4 393
 
7.4%
5 387
 
7.3%
0 361
 
6.8%
7 361
 
6.8%
9 314
 
5.9%
8 220
 
4.1%
Dash Punctuation
ValueCountFrequency (%)
- 283
100.0%
Other Punctuation
ValueCountFrequency (%)
& 9
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 43226
87.4%
Common 5610
 
11.3%
Latin 641
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
아 1973
 
4.6%
트 1870
 
4.3%
파 1743
 
4.0%
로 1611
 
3.7%
지 931
 
2.2%
부 911
 
2.1%
천 766
 
1.8%
장 660
 
1.5%
신 634
 
1.5%
단 617
 
1.4%
Other values (570) 31510
72.9%
Latin
ValueCountFrequency (%)
s 53
 
8.3%
k 49
 
7.6%
l 42
 
6.6%
h 38
 
5.9%
L 38
 
5.9%
S 34
 
5.3%
e 33
 
5.1%
H 33
 
5.1%
K 32
 
5.0%
C 31
 
4.8%
Other values (36) 258
40.2%
Common
ValueCountFrequency (%)
1 1350
24.1%
2 930
16.6%
3 602
10.7%
6 397
 
7.1%
4 393
 
7.0%
5 387
 
6.9%
0 361
 
6.4%
7 361
 
6.4%
9 314
 
5.6%
- 283
 
5.0%
Other values (5) 232
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 43221
87.4%
ASCII 6251
 
12.6%
Compat Jamo 5
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
아 1973
 
4.6%
트 1870
 
4.3%
파 1743
 
4.0%
로 1611
 
3.7%
지 931
 
2.2%
부 911
 
2.1%
천 766
 
1.8%
장 660
 
1.5%
신 634
 
1.5%
단 617
 
1.4%
Other values (566) 31505
72.9%
ASCII
ValueCountFrequency (%)
1 1350
21.6%
2 930
14.9%
3 602
9.6%
6 397
 
6.4%
4 393
 
6.3%
5 387
 
6.2%
0 361
 
5.8%
7 361
 
5.8%
9 314
 
5.0%
- 283
 
4.5%
Other values (51) 873
14.0%
Compat Jamo
ValueCountFrequency (%)
ㅇ 2
40.0%
ㅅ 1
20.0%
ㅋ 1
20.0%
ㄹ 1
20.0%

수목위도
Real number (ℝ)

Distinct9588
Distinct (%)95.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.740839
Minimum37.686687
Maximum37.768028
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T22:45:21.894133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.686687
5-th percentile37.706071
Q137.732015
median37.744128
Q337.751754
95-th percentile37.761139
Maximum37.768028
Range0.08134102
Interquartile range (IQR)0.019739247

Descriptive statistics

Standard deviation0.015581371
Coefficient of variation (CV)0.00041285173
Kurtosis0.852896
Mean37.740839
Median Absolute Deviation (MAD)0.009203975
Skewness-1.012138
Sum377408.39
Variance0.00024277912
MonotonicityNot monotonic
2023-12-12T22:45:22.054179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.75813293 11
 
0.1%
37.75813675 8
 
0.1%
37.72899628 5
 
0.1%
37.7531662 4
 
< 0.1%
37.75537491 4
 
< 0.1%
37.72981644 4
 
< 0.1%
37.75508881 4
 
< 0.1%
37.75542068 4
 
< 0.1%
37.75551987 4
 
< 0.1%
37.74269485 4
 
< 0.1%
Other values (9578) 9948
99.5%
ValueCountFrequency (%)
37.68668747 1
< 0.1%
37.68702316 1
< 0.1%
37.68730164 1
< 0.1%
37.68738174 1
< 0.1%
37.68744659 1
< 0.1%
37.68754196 1
< 0.1%
37.68764114 1
< 0.1%
37.68792343 1
< 0.1%
37.68848801 1
< 0.1%
37.68856812 1
< 0.1%
ValueCountFrequency (%)
37.76802849 1
< 0.1%
37.76795197 1
< 0.1%
37.7679324 1
< 0.1%
37.76787877 1
< 0.1%
37.76784515 1
< 0.1%
37.76782748 1
< 0.1%
37.76777267 1
< 0.1%
37.76772625 1
< 0.1%
37.76772308 1
< 0.1%
37.76767731 1
< 0.1%

수목경도
Real number (ℝ)

Distinct9345
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.06661
Minimum127.01818
Maximum127.11841
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T22:45:22.211908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.01818
5-th percentile127.03248
Q1127.044
median127.06104
Q3127.0875
95-th percentile127.11211
Maximum127.11841
Range0.1002243
Interquartile range (IQR)0.0434994

Descriptive statistics

Standard deviation0.025929019
Coefficient of variation (CV)0.00020405847
Kurtosis-1.08182
Mean127.06661
Median Absolute Deviation (MAD)0.02034375
Skewness0.32833262
Sum1270666.1
Variance0.00067231401
MonotonicityNot monotonic
2023-12-12T22:45:22.371367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.0437851 7
 
0.1%
127.1115417 6
 
0.1%
127.0438004 6
 
0.1%
127.0468597 6
 
0.1%
127.040596 5
 
0.1%
127.0513077 5
 
0.1%
127.0584488 5
 
0.1%
127.0440216 5
 
0.1%
127.0437927 5
 
0.1%
127.0436096 4
 
< 0.1%
Other values (9335) 9946
99.5%
ValueCountFrequency (%)
127.0181839 1
< 0.1%
127.0181896 1
< 0.1%
127.0190201 1
< 0.1%
127.0191045 1
< 0.1%
127.0191738 1
< 0.1%
127.0194931 1
< 0.1%
127.0199675 1
< 0.1%
127.0200588 1
< 0.1%
127.0201193 1
< 0.1%
127.0202678 1
< 0.1%
ValueCountFrequency (%)
127.1184082 1
< 0.1%
127.1183472 1
< 0.1%
127.1183243 1
< 0.1%
127.1182632 1
< 0.1%
127.1182175 1
< 0.1%
127.1181641 1
< 0.1%
127.1181259 1
< 0.1%
127.1181107 1
< 0.1%
127.118103 1
< 0.1%
127.1180878 2
< 0.1%

도로명주소
Text

MISSING 

Distinct14
Distinct (%)51.9%
Missing9973
Missing (%)99.7%
Memory size156.2 KiB
2023-12-12T22:45:22.563659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length19
Mean length17.111111
Min length14

Characters and Unicode

Total characters462
Distinct characters39
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

Unique9 ?
Unique (%)33.3%

Sample

1st row경기도 의정부시 시민로 지하 100
2nd row경기도 의정부시 평화로 378-1
3rd row경기도 의정부시 호국로 1284
4th row경기도 의정부시 천보로 68
5th row경기도 의정부시 신흥로168번길 2
ValueCountFrequency (%)
경기도 27
24.3%
의정부시 27
24.3%
천보로 6
 
5.4%
오목로225번길 6
 
5.4%
68 5
 
4.5%
140 5
 
4.5%
시민로 3
 
2.7%
지하 3
 
2.7%
100 3
 
2.7%
망월로 3
 
2.7%
Other values (17) 23
20.7%
2023-12-12T22:45:22.882999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
84
18.2%
시 30
 
6.5%
의 29
 
6.3%
정 29
 
6.3%
경 27
 
5.8%
도 27
 
5.8%
부 27
 
5.8%
기 27
 
5.8%
로 27
 
5.8%
2 17
 
3.7%
Other values (29) 138
29.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 290
62.8%
Decimal Number 87
 
18.8%
Space Separator 84
 
18.2%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 30
10.3%
의 29
10.0%
정 29
10.0%
경 27
9.3%
도 27
9.3%
부 27
9.3%
기 27
9.3%
로 27
9.3%
번 7
 
2.4%
길 7
 
2.4%
Other values (17) 53
18.3%
Decimal Number
ValueCountFrequency (%)
2 17
19.5%
0 13
14.9%
1 13
14.9%
6 10
11.5%
8 9
10.3%
5 9
10.3%
4 9
10.3%
3 4
 
4.6%
9 2
 
2.3%
7 1
 
1.1%
Space Separator
ValueCountFrequency (%)
84
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 290
62.8%
Common 172
37.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 30
10.3%
의 29
10.0%
정 29
10.0%
경 27
9.3%
도 27
9.3%
부 27
9.3%
기 27
9.3%
로 27
9.3%
번 7
 
2.4%
길 7
 
2.4%
Other values (17) 53
18.3%
Common
ValueCountFrequency (%)
84
48.8%
2 17
 
9.9%
0 13
 
7.6%
1 13
 
7.6%
6 10
 
5.8%
8 9
 
5.2%
5 9
 
5.2%
4 9
 
5.2%
3 4
 
2.3%
9 2
 
1.2%
Other values (2) 2
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 290
62.8%
ASCII 172
37.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
84
48.8%
2 17
 
9.9%
0 13
 
7.6%
1 13
 
7.6%
6 10
 
5.8%
8 9
 
5.2%
5 9
 
5.2%
4 9
 
5.2%
3 4
 
2.3%
9 2
 
1.2%
Other values (2) 2
 
1.2%
Hangul
ValueCountFrequency (%)
시 30
10.3%
의 29
10.0%
정 29
10.0%
경 27
9.3%
도 27
9.3%
부 27
9.3%
기 27
9.3%
로 27
9.3%
번 7
 
2.4%
길 7
 
2.4%
Other values (17) 53
18.3%

지번주소
Text

Distinct1701
Distinct (%)17.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T22:45:23.244456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length20
Mean length17.6647
Min length14

Characters and Unicode

Total characters176647
Distinct characters42
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

Unique652 ?
Unique (%)6.5%

Sample

1st row경기도 의정부시 가능동 238-34
2nd row경기도 의정부시 의정부동 145-3
3rd row경기도 의정부시 낙양동 766
4th row경기도 의정부시 신곡동 688
5th row경기도 의정부시 의정부동 652
ValueCountFrequency (%)
경기도 10000
24.6%
의정부시 10000
24.6%
신곡동 1339
 
3.3%
금오동 1148
 
2.8%
민락동 1058
 
2.6%
호원동 1033
 
2.5%
가능동 942
 
2.3%
의정부동 902
 
2.2%
녹양동 833
 
2.1%
용현동 697
 
1.7%
Other values (1625) 12679
31.2%
2023-12-12T22:45:23.765133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
30631
17.3%
의 10903
 
6.2%
정 10903
 
6.2%
부 10903
 
6.2%
경 10000
 
5.7%
동 10000
 
5.7%
도 10000
 
5.7%
시 10000
 
5.7%
기 10000
 
5.7%
1 6958
 
3.9%
Other values (32) 56349
31.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 101534
57.5%
Decimal Number 37789
 
21.4%
Space Separator 30631
 
17.3%
Dash Punctuation 6693
 
3.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 10903
10.7%
정 10903
10.7%
부 10903
10.7%
경 10000
9.8%
동 10000
9.8%
도 10000
9.8%
시 10000
9.8%
기 10000
9.8%
곡 1596
 
1.6%
산 1533
 
1.5%
Other values (20) 15696
15.5%
Decimal Number
ValueCountFrequency (%)
1 6958
18.4%
4 4426
11.7%
2 4060
10.7%
3 3843
10.2%
6 3780
10.0%
7 3655
9.7%
5 3231
8.6%
8 3100
8.2%
9 2389
 
6.3%
0 2347
 
6.2%
Space Separator
ValueCountFrequency (%)
30631
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6693
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 101534
57.5%
Common 75113
42.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 10903
10.7%
정 10903
10.7%
부 10903
10.7%
경 10000
9.8%
동 10000
9.8%
도 10000
9.8%
시 10000
9.8%
기 10000
9.8%
곡 1596
 
1.6%
산 1533
 
1.5%
Other values (20) 15696
15.5%
Common
ValueCountFrequency (%)
30631
40.8%
1 6958
 
9.3%
- 6693
 
8.9%
4 4426
 
5.9%
2 4060
 
5.4%
3 3843
 
5.1%
6 3780
 
5.0%
7 3655
 
4.9%
5 3231
 
4.3%
8 3100
 
4.1%
Other values (2) 4736
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 101534
57.5%
ASCII 75113
42.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
30631
40.8%
1 6958
 
9.3%
- 6693
 
8.9%
4 4426
 
5.9%
2 4060
 
5.4%
3 3843
 
5.1%
6 3780
 
5.0%
7 3655
 
4.9%
5 3231
 
4.3%
8 3100
 
4.1%
Other values (2) 4736
 
6.3%
Hangul
ValueCountFrequency (%)
의 10903
10.7%
정 10903
10.7%
부 10903
10.7%
경 10000
9.8%
동 10000
9.8%
도 10000
9.8%
시 10000
9.8%
기 10000
9.8%
곡 1596
 
1.6%
산 1533
 
1.5%
Other values (20) 15696
15.5%

행정동
Categorical

Distinct14
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
송산1동
1606 
자금동
1358 
송산3동
1058 
신곡2동
853 
녹양동
831 
Other values (9)
4294 

Length

Max length5
Median length4
Mean length3.7476
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row흥선동
2nd row의정부1동
3rd row송산3동
4th row신곡2동
5th row의정부2동

Common Values

ValueCountFrequency (%)
송산1동 1606
16.1%
자금동 1358
13.6%
송산3동 1058
10.6%
신곡2동 853
8.5%
녹양동 831
8.3%
의정부2동 646
6.5%
가능동 618
 
6.2%
호원1동 565
 
5.7%
송산2동 494
 
4.9%
장암동 475
 
4.8%
Other values (4) 1496
15.0%

Length

2023-12-12T22:45:23.927482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
송산1동 1606
16.1%
자금동 1358
13.6%
송산3동 1058
10.6%
신곡2동 853
8.5%
녹양동 831
8.3%
의정부2동 646
6.5%
가능동 618
 
6.2%
호원1동 565
 
5.7%
송산2동 494
 
4.9%
장암동 475
 
4.8%
Other values (4) 1496
15.0%

수고
Real number (ℝ)

Distinct88
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.01595
Minimum1
Maximum22.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T22:45:24.143614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.5
Q15
median6.5
Q38
95-th percentile12
Maximum22.5
Range21.5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.7350013
Coefficient of variation (CV)0.38982623
Kurtosis3.9239166
Mean7.01595
Median Absolute Deviation (MAD)1.5
Skewness1.4479983
Sum70159.5
Variance7.4802322
MonotonicityNot monotonic
2023-12-12T22:45:24.344097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.0 1029
10.3%
7.0 969
 
9.7%
6.0 901
 
9.0%
7.5 865
 
8.6%
5.5 745
 
7.4%
6.5 665
 
6.7%
8.0 640
 
6.4%
4.5 605
 
6.0%
4.0 562
 
5.6%
8.5 451
 
4.5%
Other values (78) 2568
25.7%
ValueCountFrequency (%)
1.0 1
 
< 0.1%
1.5 8
 
0.1%
1.6 1
 
< 0.1%
1.7 22
 
0.2%
1.8 8
 
0.1%
2.0 72
0.7%
2.1 1
 
< 0.1%
2.2 4
 
< 0.1%
2.5 74
0.7%
2.6 1
 
< 0.1%
ValueCountFrequency (%)
22.5 1
 
< 0.1%
22.0 6
 
0.1%
21.5 2
 
< 0.1%
21.0 12
0.1%
20.5 6
 
0.1%
20.0 4
 
< 0.1%
19.5 2
 
< 0.1%
19.0 25
0.2%
18.5 6
 
0.1%
18.2 1
 
< 0.1%

수관폭
Real number (ℝ)

Distinct692
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.914897
Minimum0.15
Maximum14.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T22:45:24.553819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.15
5-th percentile1.5
Q12.5
median3.54
Q35
95-th percentile7.5
Maximum14.6
Range14.45
Interquartile range (IQR)2.5

Descriptive statistics

Standard deviation1.8581714
Coefficient of variation (CV)0.4746412
Kurtosis0.53207827
Mean3.914897
Median Absolute Deviation (MAD)1.16
Skewness0.81344657
Sum39148.97
Variance3.452801
MonotonicityNot monotonic
2023-12-12T22:45:24.759074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.0 412
 
4.1%
2.0 342
 
3.4%
2.5 335
 
3.4%
4.0 329
 
3.3%
3.5 278
 
2.8%
2.2 232
 
2.3%
4.5 230
 
2.3%
3.6 223
 
2.2%
3.2 216
 
2.2%
2.8 215
 
2.1%
Other values (682) 7188
71.9%
ValueCountFrequency (%)
0.15 1
 
< 0.1%
0.25 3
 
< 0.1%
0.3 6
 
0.1%
0.4 7
 
0.1%
0.45 2
 
< 0.1%
0.5 12
0.1%
0.55 1
 
< 0.1%
0.6 16
0.2%
0.65 7
 
0.1%
0.7 20
0.2%
ValueCountFrequency (%)
14.6 1
 
< 0.1%
14.0 1
 
< 0.1%
12.5 1
 
< 0.1%
12.4 1
 
< 0.1%
12.0 1
 
< 0.1%
11.6 1
 
< 0.1%
11.5 6
0.1%
11.3 1
 
< 0.1%
11.2 1
 
< 0.1%
11.0 4
< 0.1%

흉고직경
Real number (ℝ)

Distinct196
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.19729
Minimum2.2
Maximum75.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T22:45:24.934025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.2
5-th percentile6.3
Q110.7
median17.3
Q327.3
95-th percentile43
Maximum75.4
Range73.2
Interquartile range (IQR)16.6

Descriptive statistics

Standard deviation11.757841
Coefficient of variation (CV)0.58214945
Kurtosis0.46080494
Mean20.19729
Median Absolute Deviation (MAD)7.8
Skewness0.94959446
Sum201972.9
Variance138.24683
MonotonicityNot monotonic
2023-12-12T22:45:25.090973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.4 370
 
3.7%
12.6 330
 
3.3%
15.7 308
 
3.1%
18.8 273
 
2.7%
7.9 230
 
2.3%
22.0 226
 
2.3%
11.0 208
 
2.1%
6.3 188
 
1.9%
25.1 187
 
1.9%
14.1 184
 
1.8%
Other values (186) 7496
75.0%
ValueCountFrequency (%)
2.2 1
 
< 0.1%
2.5 59
0.6%
2.8 1
 
< 0.1%
3.1 21
 
0.2%
3.5 8
 
0.1%
3.8 8
 
0.1%
4.1 15
 
0.1%
4.4 13
 
0.1%
4.7 76
0.8%
5.0 32
0.3%
ValueCountFrequency (%)
75.4 2
 
< 0.1%
69.1 6
0.1%
67.5 1
 
< 0.1%
66.6 1
 
< 0.1%
65.9 2
 
< 0.1%
65.6 1
 
< 0.1%
64.7 1
 
< 0.1%
62.8 10
0.1%
61.9 1
 
< 0.1%
60.3 1
 
< 0.1%

근원직경
Real number (ℝ)

Distinct253
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.18003
Minimum3.1
Maximum127.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T22:45:25.252488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.1
5-th percentile9.1
Q113.8
median22
Q335.2
95-th percentile56.5
Maximum127.2
Range124.1
Interquartile range (IQR)21.4

Descriptive statistics

Standard deviation15.716269
Coefficient of variation (CV)0.60031516
Kurtosis1.341649
Mean26.18003
Median Absolute Deviation (MAD)9.4
Skewness1.1496506
Sum261800.3
Variance247.00111
MonotonicityNot monotonic
2023-12-12T22:45:25.440643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12.6 302
 
3.0%
11.0 262
 
2.6%
15.7 259
 
2.6%
18.8 227
 
2.3%
9.4 218
 
2.2%
22.0 208
 
2.1%
14.1 170
 
1.7%
28.3 165
 
1.7%
25.1 161
 
1.6%
31.4 141
 
1.4%
Other values (243) 7887
78.9%
ValueCountFrequency (%)
3.1 60
0.6%
3.5 2
 
< 0.1%
4.1 3
 
< 0.1%
4.4 3
 
< 0.1%
4.7 7
 
0.1%
5.0 7
 
0.1%
5.3 5
 
0.1%
5.7 12
 
0.1%
6.0 9
 
0.1%
6.3 55
0.5%
ValueCountFrequency (%)
127.2 1
 
< 0.1%
119.3 1
 
< 0.1%
113.0 1
 
< 0.1%
109.9 2
 
< 0.1%
106.8 1
 
< 0.1%
100.5 4
< 0.1%
97.3 2
 
< 0.1%
94.2 7
0.1%
91.1 2
 
< 0.1%
89.5 1
 
< 0.1%

식재간격
Real number (ℝ)

MISSING 

Distinct284
Distinct (%)3.1%
Missing941
Missing (%)9.4%
Infinite0
Infinite (%)0.0%
Mean7.4882327
Minimum0.5
Maximum48.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T22:45:25.600209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.5
5-th percentile2
Q16
median7.2
Q38.05
95-th percentile14.7
Maximum48.5
Range48
Interquartile range (IQR)2.05

Descriptive statistics

Standard deviation4.0308036
Coefficient of variation (CV)0.53828503
Kurtosis19.488998
Mean7.4882327
Median Absolute Deviation (MAD)1.2
Skewness3.2528055
Sum67835.9
Variance16.247378
MonotonicityNot monotonic
2023-12-12T22:45:25.784962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.0 701
 
7.0%
7.0 646
 
6.5%
6.0 436
 
4.4%
7.5 432
 
4.3%
7.7 249
 
2.5%
7.8 235
 
2.4%
7.6 223
 
2.2%
2.0 212
 
2.1%
5.0 199
 
2.0%
8.5 194
 
1.9%
Other values (274) 5532
55.3%
(Missing) 941
 
9.4%
ValueCountFrequency (%)
0.5 5
 
0.1%
0.6 8
 
0.1%
0.7 5
 
0.1%
0.8 10
 
0.1%
0.9 5
 
0.1%
1.0 61
0.6%
1.1 23
 
0.2%
1.2 35
0.4%
1.3 25
0.2%
1.4 19
 
0.2%
ValueCountFrequency (%)
48.5 1
< 0.1%
48.2 1
< 0.1%
47.9 1
< 0.1%
47.5 1
< 0.1%
46.9 1
< 0.1%
46.5 1
< 0.1%
41.3 1
< 0.1%
41.2 1
< 0.1%
40.6 1
< 0.1%
40.5 1
< 0.1%

도로폭
Real number (ℝ)

Distinct51
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.876041
Minimum2
Maximum40
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T22:45:25.945644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile12
Q119.991
median21
Q331
95-th percentile36
Maximum40
Range38
Interquartile range (IQR)11.009

Descriptive statistics

Standard deviation8.4880745
Coefficient of variation (CV)0.35550595
Kurtosis-0.76174889
Mean23.876041
Median Absolute Deviation (MAD)6
Skewness-0.060068351
Sum238760.41
Variance72.04741
MonotonicityNot monotonic
2023-12-12T22:45:26.103507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20.0 1984
19.8%
15.0 873
 
8.7%
35.0 658
 
6.6%
30.0 549
 
5.5%
21.0 528
 
5.3%
38.0 477
 
4.8%
25.0 458
 
4.6%
24.785 452
 
4.5%
36.0 396
 
4.0%
29.0 381
 
3.8%
Other values (41) 3244
32.4%
ValueCountFrequency (%)
2.0 29
 
0.3%
3.11 8
 
0.1%
4.0 54
 
0.5%
4.075 23
 
0.2%
5.0 2
 
< 0.1%
6.0 173
1.7%
7.0 73
 
0.7%
8.0 60
 
0.6%
11.0 67
 
0.7%
12.0 357
3.6%
ValueCountFrequency (%)
40.0 9
 
0.1%
38.0 477
4.8%
36.0 396
4.0%
35.88 333
3.3%
35.0 658
6.6%
33.0 299
3.0%
31.0 346
3.5%
30.0 549
5.5%
29.143 189
 
1.9%
29.0 381
3.8%

보도폭
Text

MISSING 

Distinct187
Distinct (%)2.0%
Missing747
Missing (%)7.5%
Memory size156.2 KiB
2023-12-12T22:45:26.754568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length2.5594942
Min length1

Characters and Unicode

Total characters23683
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

Unique54 ?
Unique (%)0.6%

Sample

1st row1
2nd row3.4
3rd row2
4th row1.5
5th row2
ValueCountFrequency (%)
1 1267
 
13.7%
2 1164
 
12.6%
1.5 624
 
6.7%
1.2 498
 
5.4%
3 441
 
4.8%
1.8 347
 
3.8%
2.2 328
 
3.5%
4 328
 
3.5%
1.6 322
 
3.5%
2.5 314
 
3.4%
Other values (177) 3620
39.1%
2023-12-12T22:45:27.159224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 6266
26.5%
1 5371
22.7%
2 4280
18.1%
3 1432
 
6.0%
5 1340
 
5.7%
4 973
 
4.1%
| 949
 
4.0%
8 907
 
3.8%
6 764
 
3.2%
7 576
 
2.4%
Other values (2) 825
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 16468
69.5%
Other Punctuation 6266
 
26.5%
Math Symbol 949
 
4.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 5371
32.6%
2 4280
26.0%
3 1432
 
8.7%
5 1340
 
8.1%
4 973
 
5.9%
8 907
 
5.5%
6 764
 
4.6%
7 576
 
3.5%
0 443
 
2.7%
9 382
 
2.3%
Other Punctuation
ValueCountFrequency (%)
. 6266
100.0%
Math Symbol
ValueCountFrequency (%)
| 949
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 23683
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 6266
26.5%
1 5371
22.7%
2 4280
18.1%
3 1432
 
6.0%
5 1340
 
5.7%
4 973
 
4.1%
| 949
 
4.0%
8 907
 
3.8%
6 764
 
3.2%
7 576
 
2.4%
Other values (2) 825
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 23683
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 6266
26.5%
1 5371
22.7%
2 4280
18.1%
3 1432
 
6.0%
5 1340
 
5.7%
4 973
 
4.1%
| 949
 
4.0%
8 907
 
3.8%
6 764
 
3.2%
7 576
 
2.4%
Other values (2) 825
 
3.5%

보호덮개
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
7777 
주철
1490 
압연강판
 
453
기타
 
217
콘크리트
 
39

Length

Max length4
Median length4
Mean length3.6538
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 7777
77.8%
주철 1490
 
14.9%
압연강판 453
 
4.5%
기타 217
 
2.2%
콘크리트 39
 
0.4%
고무 24
 
0.2%

Length

2023-12-12T22:45:27.315164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:45:27.440212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7777
77.8%
주철 1490
 
14.9%
압연강판 453
 
4.5%
기타 217
 
2.2%
콘크리트 39
 
0.4%
고무 24
 
0.2%

보호틀
Categorical

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
사각형
5106 
대상형
1998 
<NA>
1870 
말발굽형
860 
기타
 
163

Length

Max length4
Median length3
Mean length3.2564
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사각형 5106
51.1%
대상형 1998
 
20.0%
<NA> 1870
 
18.7%
말발굽형 860
 
8.6%
기타 163
 
1.6%
원형 3
 
< 0.1%

Length

2023-12-12T22:45:27.587910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:45:27.713951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사각형 5106
51.1%
대상형 1998
 
20.0%
na 1870
 
18.7%
말발굽형 860
 
8.6%
기타 163
 
1.6%
원형 3
 
< 0.1%

통기_관수
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
9550 
True
 
450
ValueCountFrequency (%)
False 9550
95.5%
True 450
 
4.5%
2023-12-12T22:45:27.823961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

식재제한지역
Boolean

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
10000 
ValueCountFrequency (%)
False 10000
100.0%
2023-12-12T22:45:27.905828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

지장물여부
Text

MISSING 

Distinct63
Distinct (%)1.6%
Missing6137
Missing (%)61.4%
Memory size156.2 KiB
2023-12-12T22:45:28.059516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length3
Mean length4.3241004
Min length2

Characters and Unicode

Total characters16704
Distinct characters18
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

Unique24 ?
Unique (%)0.6%

Sample

1st row전깃줄+가로등
2nd row전깃줄
3rd row전깃줄
4th row전깃줄
5th row표지판
ValueCountFrequency (%)
전깃줄 2144
55.5%
전신주+전깃줄 398
 
10.3%
가로등 341
 
8.8%
전깃줄+가로등 259
 
6.7%
표지판 80
 
2.1%
전신주+전깃줄+가로등 73
 
1.9%
전깃줄+신호등 73
 
1.9%
전신주 58
 
1.5%
신호등 55
 
1.4%
기타 48
 
1.2%
Other values (53) 334
 
8.6%
2023-12-12T22:45:28.384969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
전 3790
22.7%
줄 3178
19.0%
깃 3178
19.0%
+ 1323
 
7.9%
등 985
 
5.9%
가 802
 
4.8%
로 802
 
4.8%
신 795
 
4.8%
주 612
 
3.7%
판 258
 
1.5%
Other values (8) 981
 
5.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15381
92.1%
Math Symbol 1323
 
7.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 3790
24.6%
줄 3178
20.7%
깃 3178
20.7%
등 985
 
6.4%
가 802
 
5.2%
로 802
 
5.2%
신 795
 
5.2%
주 612
 
4.0%
판 258
 
1.7%
표 234
 
1.5%
Other values (7) 747
 
4.9%
Math Symbol
ValueCountFrequency (%)
+ 1323
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15381
92.1%
Common 1323
 
7.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 3790
24.6%
줄 3178
20.7%
깃 3178
20.7%
등 985
 
6.4%
가 802
 
5.2%
로 802
 
5.2%
신 795
 
5.2%
주 612
 
4.0%
판 258
 
1.7%
표 234
 
1.5%
Other values (7) 747
 
4.9%
Common
ValueCountFrequency (%)
+ 1323
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15381
92.1%
ASCII 1323
 
7.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
전 3790
24.6%
줄 3178
20.7%
깃 3178
20.7%
등 985
 
6.4%
가 802
 
5.2%
로 802
 
5.2%
신 795
 
5.2%
주 612
 
4.0%
판 258
 
1.7%
표 234
 
1.5%
Other values (7) 747
 
4.9%
ASCII
ValueCountFrequency (%)
+ 1323
100.0%

데이타기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2021-11-30
10000 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-11-30
2nd row2021-11-30
3rd row2021-11-30
4th row2021-11-30
5th row2021-11-30

Common Values

ValueCountFrequency (%)
2021-11-30 10000
100.0%

Length

2023-12-12T22:45:28.522775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:45:28.643861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-11-30 10000
100.0%

수목전경사진
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T22:45:28.845833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length19
Mean length19.6676
Min length19

Characters and Unicode

Total characters196676
Distinct characters114
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 row01-직곡로-우-037-01.jpg
2nd row01-태평로-우-002-01.jpg
3rd row01-송양로-우-033-01.jpg
4th row01-능곡로-좌-034-01.jpg
5th row01-의정로46번길-좌-044-01.jpg
ValueCountFrequency (%)
01-직곡로-우-037-01.jpg 1
 
< 0.1%
01-장곡로-좌-294-01.jpg 1
 
< 0.1%
01-체육로-좌-090-01.jpg 1
 
< 0.1%
01-능곡로-우-012-01.jpg 1
 
< 0.1%
01-평화로-우-249-01.jpg 1
 
< 0.1%
01-전좌로-우-015-01.jpg 1
 
< 0.1%
01-평화로-우-052-01.jpg 1
 
< 0.1%
01-본원로-우-018-01.jpg 1
 
< 0.1%
01-체육로-좌-089-01.jpg 1
 
< 0.1%
01-외미로104번길-좌-054-01.jpg 1
 
< 0.1%
Other values (9990) 9990
99.9%
2023-12-12T22:45:29.206666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 40000
20.3%
0 28727
14.6%
1 25068
12.7%
j 10000
 
5.1%
g 10000
 
5.1%
p 10000
 
5.1%
. 10000
 
5.1%
로 9889
 
5.0%
우 5166
 
2.6%
좌 4866
 
2.5%
Other values (104) 42960
21.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 73776
37.5%
Other Letter 42900
21.8%
Dash Punctuation 40000
20.3%
Lowercase Letter 30000
15.3%
Other Punctuation 10000
 
5.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 9889
23.1%
우 5166
 
12.0%
좌 4866
 
11.3%
길 1477
 
3.4%
번 1360
 
3.2%
민 1021
 
2.4%
용 854
 
2.0%
동 748
 
1.7%
곡 657
 
1.5%
신 645
 
1.5%
Other values (89) 16217
37.8%
Decimal Number
ValueCountFrequency (%)
0 28727
38.9%
1 25068
34.0%
2 4298
 
5.8%
3 3070
 
4.2%
4 2797
 
3.8%
5 2262
 
3.1%
6 2015
 
2.7%
7 1871
 
2.5%
9 1848
 
2.5%
8 1820
 
2.5%
Lowercase Letter
ValueCountFrequency (%)
j 10000
33.3%
g 10000
33.3%
p 10000
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 40000
100.0%
Other Punctuation
ValueCountFrequency (%)
. 10000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 123776
62.9%
Hangul 42900
 
21.8%
Latin 30000
 
15.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 9889
23.1%
우 5166
 
12.0%
좌 4866
 
11.3%
길 1477
 
3.4%
번 1360
 
3.2%
민 1021
 
2.4%
용 854
 
2.0%
동 748
 
1.7%
곡 657
 
1.5%
신 645
 
1.5%
Other values (89) 16217
37.8%
Common
ValueCountFrequency (%)
- 40000
32.3%
0 28727
23.2%
1 25068
20.3%
. 10000
 
8.1%
2 4298
 
3.5%
3 3070
 
2.5%
4 2797
 
2.3%
5 2262
 
1.8%
6 2015
 
1.6%
7 1871
 
1.5%
Other values (2) 3668
 
3.0%
Latin
ValueCountFrequency (%)
j 10000
33.3%
g 10000
33.3%
p 10000
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 153776
78.2%
Hangul 42900
 
21.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 40000
26.0%
0 28727
18.7%
1 25068
16.3%
j 10000
 
6.5%
g 10000
 
6.5%
p 10000
 
6.5%
. 10000
 
6.5%
2 4298
 
2.8%
3 3070
 
2.0%
4 2797
 
1.8%
Other values (5) 9816
 
6.4%
Hangul
ValueCountFrequency (%)
로 9889
23.1%
우 5166
 
12.0%
좌 4866
 
11.3%
길 1477
 
3.4%
번 1360
 
3.2%
민 1021
 
2.4%
용 854
 
2.0%
동 748
 
1.7%
곡 657
 
1.5%
신 645
 
1.5%
Other values (89) 16217
37.8%

보호덮개사진
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T22:45:29.457784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length19
Mean length19.6676
Min length19

Characters and Unicode

Total characters196676
Distinct characters114
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 row01-직곡로-우-037-02.jpg
2nd row01-태평로-우-002-02.jpg
3rd row01-송양로-우-033-02.jpg
4th row01-능곡로-좌-034-02.jpg
5th row01-의정로46번길-좌-044-02.jpg
ValueCountFrequency (%)
01-직곡로-우-037-02.jpg 1
 
< 0.1%
01-장곡로-좌-294-02.jpg 1
 
< 0.1%
01-체육로-좌-090-02.jpg 1
 
< 0.1%
01-능곡로-우-012-02.jpg 1
 
< 0.1%
01-평화로-우-249-02.jpg 1
 
< 0.1%
01-전좌로-우-015-02.jpg 1
 
< 0.1%
01-평화로-우-052-02.jpg 1
 
< 0.1%
01-본원로-우-018-02.jpg 1
 
< 0.1%
01-체육로-좌-089-02.jpg 1
 
< 0.1%
01-외미로104번길-좌-054-02.jpg 1
 
< 0.1%
Other values (9990) 9990
99.9%
2023-12-12T22:45:29.884947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 40000
20.3%
0 28727
14.6%
1 15068
 
7.7%
2 14298
 
7.3%
. 10000
 
5.1%
j 10000
 
5.1%
p 10000
 
5.1%
g 10000
 
5.1%
로 9889
 
5.0%
우 5166
 
2.6%
Other values (104) 43528
22.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 73776
37.5%
Other Letter 42900
21.8%
Dash Punctuation 40000
20.3%
Lowercase Letter 30000
15.3%
Other Punctuation 10000
 
5.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 9889
23.1%
우 5166
 
12.0%
좌 4866
 
11.3%
길 1477
 
3.4%
번 1360
 
3.2%
민 1021
 
2.4%
용 854
 
2.0%
동 748
 
1.7%
곡 657
 
1.5%
신 645
 
1.5%
Other values (89) 16217
37.8%
Decimal Number
ValueCountFrequency (%)
0 28727
38.9%
1 15068
20.4%
2 14298
19.4%
3 3070
 
4.2%
4 2797
 
3.8%
5 2262
 
3.1%
6 2015
 
2.7%
7 1871
 
2.5%
9 1848
 
2.5%
8 1820
 
2.5%
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 123776
62.9%
Hangul 42900
 
21.8%
Latin 30000
 
15.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 9889
23.1%
우 5166
 
12.0%
좌 4866
 
11.3%
길 1477
 
3.4%
번 1360
 
3.2%
민 1021
 
2.4%
용 854
 
2.0%
동 748
 
1.7%
곡 657
 
1.5%
신 645
 
1.5%
Other values (89) 16217
37.8%
Common
ValueCountFrequency (%)
- 40000
32.3%
0 28727
23.2%
1 15068
 
12.2%
2 14298
 
11.6%
. 10000
 
8.1%
3 3070
 
2.5%
4 2797
 
2.3%
5 2262
 
1.8%
6 2015
 
1.6%
7 1871
 
1.5%
Other values (2) 3668
 
3.0%
Latin
ValueCountFrequency (%)
j 10000
33.3%
p 10000
33.3%
g 10000
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 153776
78.2%
Hangul 42900
 
21.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 40000
26.0%
0 28727
18.7%
1 15068
 
9.8%
2 14298
 
9.3%
. 10000
 
6.5%
j 10000
 
6.5%
p 10000
 
6.5%
g 10000
 
6.5%
3 3070
 
2.0%
4 2797
 
1.8%
Other values (5) 9816
 
6.4%
Hangul
ValueCountFrequency (%)
로 9889
23.1%
우 5166
 
12.0%
좌 4866
 
11.3%
길 1477
 
3.4%
번 1360
 
3.2%
민 1021
 
2.4%
용 854
 
2.0%
동 748
 
1.7%
곡 657
 
1.5%
신 645
 
1.5%
Other values (89) 16217
37.8%

Sample

관리번호수목명수목구분수목유형식재일관리기관전화번호관리기관명도로명도로종류도로시작점도로종료점수목위치수목위도수목경도도로명주소지번주소행정동수고수관폭흉고직경근원직경식재간격도로폭보도폭보호덮개보호틀통기_관수식재제한지역지장물여부데이타기준일자수목전경사진보호덮개사진
14290직곡로-우-037이팝나무가로수교목2009-04-01031-828-2114경기도 의정부시직곡로시도가능동 803가능동 809-0꿈에그린푸르미아파트37.743782127.031677<NA>경기도 의정부시 가능동 238-34흥선동3.52.06.39.42.013.01<NA>사각형NN<NA>2021-11-3001-직곡로-우-037-01.jpg01-직곡로-우-037-02.jpg
16958태평로-우-002양버즘나무가로수교목2009-04-01031-828-2114경기도 의정부시태평로시도의정부동 141-24의정부동 216-22태평로10437.741673127.051659<NA>경기도 의정부시 의정부동 145-3의정부1동7.03.5834.245.25.020.03.4<NA><NA>NN전깃줄+가로등2021-11-3001-태평로-우-002-01.jpg01-태평로-우-002-02.jpg
8684송양로-우-033이팝나무가로수교목2009-04-01031-828-2114경기도 의정부시송양로시도낙양동 719민락동 908-0푸르지오7단지37.752158127.110684<NA>경기도 의정부시 낙양동 766송산3동6.53.513.518.56.324.02<NA><NA>NN<NA>2021-11-3001-송양로-우-033-01.jpg01-송양로-우-033-02.jpg
1905능곡로-좌-034은행나무가로수교목2009-04-01031-828-2114경기도 의정부시능곡로시도신곡동 690신곡동 96-1삼도세라믹아파트37.741962127.061234<NA>경기도 의정부시 신곡동 688신곡2동14.05.222.028.310.815.01.5<NA>사각형NN<NA>2021-11-3001-능곡로-좌-034-01.jpg01-능곡로-좌-034-02.jpg
12698의정로46번길-좌-044느티나무가로수교목2009-04-01031-828-2114경기도 의정부시의정로46번길시도의정부동 617의정부동 627-1백석천37.73578127.03833<NA>경기도 의정부시 의정부동 652의정부2동11.07.550.262.86.08.02<NA>사각형NN<NA>2021-11-3001-의정로46번길-좌-044-01.jpg01-의정로46번길-좌-044-02.jpg
12367용현로-우-005벚나무가로수교목2009-04-01031-828-2114경기도 의정부시용현로시도용현동 산 31-37민락동 산 103-4신도브래뉴아파트37.739762127.08137<NA>경기도 의정부시 용현동 산 19-1송산1동7.05.813.215.17.020.01.6<NA>사각형NN전깃줄2021-11-3001-용현로-우-005-01.jpg01-용현로-우-005-02.jpg
9418시민로-좌-024칠엽수가로수교목2009-04-01031-828-2114경기도 의정부시시민로시도의정부동 617용현동 65-7세무법인일우37.738388127.038977<NA>경기도 의정부시 의정부동 677의정부2동5.53.614.120.18.535.02.5|2.2<NA>사각형NN<NA>2021-11-3001-시민로-좌-024-01.jpg01-시민로-좌-024-02.jpg
17555평화로-우-436마가목가로수교목2010-04-01031-828-2114경기도 의정부시평화로시도서울특별시경계,호원동 173-1양주시경계,녹양동 12-1<NA>37.760539127.04318<NA>경기도 의정부시 녹양동 102-11녹양동1.81.05.07.23.024.7853<NA>대상형NN<NA>2021-11-3001-평화로-우-436-01.jpg01-평화로-우-436-02.jpg
6334산단로68번길-좌-030은행나무가로수교목2010-04-01031-828-2114경기도 의정부시산단로68번길시도용현동 산 13-4용현동 539-0용현산업단지37.740593127.080714<NA>경기도 의정부시 용현동 530-8송산1동9.05.218.522.37.912.01<NA>사각형NN전깃줄2021-11-3001-산단로68번길-좌-030-01.jpg01-산단로68번길-좌-030-02.jpg
4744발곡로-좌-002양버즘나무가로수교목2009-04-01031-828-2114경기도 의정부시발곡로시도신곡동 741-1신곡동 748-1이장군족발보쌈37.731342127.055023<NA>경기도 의정부시 신곡동 703-8신곡1동9.05.027.637.7<NA>20.02.2<NA>사각형NN전깃줄2021-11-3001-발곡로-좌-002-01.jpg01-발곡로-좌-002-02.jpg
관리번호수목명수목구분수목유형식재일관리기관전화번호관리기관명도로명도로종류도로시작점도로종료점수목위치수목위도수목경도도로명주소지번주소행정동수고수관폭흉고직경근원직경식재간격도로폭보도폭보호덮개보호틀통기_관수식재제한지역지장물여부데이타기준일자수목전경사진보호덮개사진
2605동일로-좌-051벚나무가로수교목2010-04-01031-828-2114경기도 의정부시동일로시도장암동 385-25녹양동 8-7도봉차량사업소37.703381127.055969<NA>경기도 의정부시 장암동 186-7장암동5.02.811.012.68.235.01.6<NA>대상형NN<NA>2021-11-3001-동일로-좌-051-01.jpg01-동일로-좌-051-02.jpg
9365시민로-우-245은행나무가로수교목2009-04-01031-828-2114경기도 의정부시시민로시도의정부동 617용현동 65-7시민로44037.732368127.08164<NA>경기도 의정부시 용현동 211-5송산1동7.52.021.027.08.435.02<NA>말발굽형NN전깃줄2021-11-3001-시민로-우-245-01.jpg01-시민로-우-245-02.jpg
13397장곡로-우-119메타세콰이어가로수교목2009-04-01031-828-2114경기도 의정부시장곡로시도장암동 142-10신곡동 813-23장암발곡근린공원37.727891127.053243<NA>경기도 의정부시 신곡동 741-3신곡1동13.55.025.140.88.020.02<NA>사각형NN<NA>2021-11-3001-장곡로-우-119-01.jpg01-장곡로-우-119-02.jpg
18428호국로-우-160은행나무가로수교목2009-04-01031-828-2114경기도 의정부시호국로시도양주시장흥면경계,가능동 산 69-2자일동 산 44-5E마트37.749676127.060509<NA>경기도 의정부시 금오동 477-4자금동9.02.215.116.66.338.03.2|2.5<NA>사각형NN<NA>2021-11-3001-호국로-우-160-01.jpg01-호국로-우-160-02.jpg
18186호국로1519번길-우-040잣나무가로수교목2009-04-01031-828-2114경기도 의정부시호국로1519번길시도금오동 153-14금오동 산 31-20호국로1519번길5637.75399127.071907<NA>경기도 의정부시 금오동 462-8자금동8.03.720.424.23.525.0<NA><NA><NA>NN<NA>2021-11-3001-호국로1519번길-우-040-01.jpg01-호국로1519번길-우-040-02.jpg
9018승지로-우-043은행나무가로수교목2009-04-01031-828-2114경기도 의정부시승지로시도민락동 626-16민락동 산 120-2부용고등학교37.73619127.093651<NA>경기도 의정부시 민락동 759송산2동10.52.3516.624.24.515.01.2주철말발굽형NN가로등2021-11-3001-승지로-우-043-01.jpg01-승지로-우-043-02.jpg
3530문충로-우-224이팝나무가로수교목2019-04-01031-828-2114경기도 의정부시문충로시도고산동 521-5민락동 908-0훈민초등학교37.739777127.113541<NA>경기도 의정부시 고산동 233-1송산1동4.52.07.910.47.835.882<NA><NA>YN<NA>2021-11-3001-문충로-우-224-01.jpg01-문충로-우-224-02.jpg
7608서부로-우-100은행나무가로수교목2009-04-01031-828-2114경기도 의정부시서부로시도호원동 218-18녹양동 107-37<NA>37.752125127.034401<NA>경기도 의정부시 가능동 348-4가능동10.53.033.339.62.033.02<NA><NA>NN<NA>2021-11-3001-서부로-우-100-01.jpg01-서부로-우-100-02.jpg
5359본원로-좌-040이팝나무가로수교목2009-04-01031-828-2114경기도 의정부시본원로시도가능동 93-12녹양동 산 10-4야산37.763025127.039711<NA>경기도 의정부시 녹양동 415-2녹양동4.03.012.615.78.020.02주철사각형NN<NA>2021-11-3001-본원로-좌-040-01.jpg01-본원로-좌-040-02.jpg
6783산단로-좌-106느티나무가로수교목2010-04-01031-828-2114경기도 의정부시산단로시도용현동 400-4낙양동 산 130-9어룡어린이공원37.747079127.082949<NA>경기도 의정부시 용현동 564송산1동8.06.3628.639.66.527.02.2<NA>말발굽형NN<NA>2021-11-3001-산단로-좌-106-01.jpg01-산단로-좌-106-02.jpg