Overview

Dataset statistics

Number of variables77
Number of observations273
Missing cells15
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory183.8 KiB
Average record size in memory689.5 B

Variable types

Numeric20
Categorical54
Text3

Dataset

Description전북특별자치도 전주시 가로수를 제공하며, 연번, 구, 노선명, 시점종점, 가로수 그루수, 나무종별 그루수 등을 제공합니다.
Author전라북도
URLhttps://www.bigdatahub.go.kr/index.jeonbuk?startPage=14&menuCd=DOM_000000103007001000&pListTypeStr=&pId=15080618

Alerts

선주목 has constant value ""Constant
복자기나무 has constant value ""Constant
소나무(장송) has constant value ""Constant
맥문동 has constant value ""Constant
말발도리 has constant value ""Constant
스트로브잣나무 has constant value ""Constant
구골목서 has constant value ""Constant
눈향 has constant value ""Constant
모과나무 has constant value ""Constant
비자나무 has constant value ""Constant
아까시나무 has constant value ""Constant
오동나무 has constant value ""Constant
편백나무 has constant value ""Constant
박태기나무 has constant value ""Constant
전나무 has constant value ""Constant
조릿대 has constant value ""Constant
매실나무 has constant value ""Constant
꾸지나무 has constant value ""Constant
대나무 has constant value ""Constant
버즘나무 has constant value ""Constant
국수나무 has constant value ""Constant
덜꿩나무 has constant value ""Constant
진달래 has constant value ""Constant
계수나무 has constant value ""Constant
리기다소나무 has constant value ""Constant
물푸레나무 has constant value ""Constant
오리나무 has constant value ""Constant
금목서 has constant value ""Constant
동백나무 has constant value ""Constant
개쉬땅나무 has constant value ""Constant
매화나무 has constant value ""Constant
산벚나무 has constant value ""Constant
매자나무 has constant value ""Constant
참나무 is highly imbalanced (96.5%)Imbalance
소나무(곰솔) is highly imbalanced (93.9%)Imbalance
소나무(조형) is highly imbalanced (94.0%)Imbalance
꽃사과 is highly imbalanced (96.5%)Imbalance
자귀나무 is highly imbalanced (95.6%)Imbalance
측백 is highly imbalanced (94.8%)Imbalance
목백합 is highly imbalanced (96.5%)Imbalance
대왕참나무 is highly imbalanced (95.6%)Imbalance
칠엽수 is highly imbalanced (93.4%)Imbalance
아로니아 is highly imbalanced (95.6%)Imbalance
둥근주목 is highly imbalanced (92.8%)Imbalance
배롱나무 is highly imbalanced (95.6%)Imbalance
섬잣나무 is highly imbalanced (93.4%)Imbalance
서양측백 is highly imbalanced (95.6%)Imbalance
현사시나무 is highly imbalanced (96.5%)Imbalance
산수유 is highly imbalanced (95.6%)Imbalance
팽나무 is highly imbalanced (94.0%)Imbalance
꽃잔디 is highly imbalanced (96.5%)Imbalance
때죽나무 is highly imbalanced (96.5%)Imbalance
잣나무 is highly imbalanced (96.5%)Imbalance
노선명 has 5 (1.8%) missing valuesMissing
시점종점 has 10 (3.7%) missing valuesMissing
연번 has unique valuesUnique
가로수 그루수 has 3 (1.1%) zerosZeros
은행나무 has 175 (64.1%) zerosZeros
왕벚나무 has 237 (86.8%) zerosZeros
중국단풍 has 232 (85.0%) zerosZeros
플라타너스 has 254 (93.0%) zerosZeros
회화 has 257 (94.1%) zerosZeros
단풍 has 246 (90.1%) zerosZeros
메타세콰이야 has 256 (93.8%) zerosZeros
낙우송 has 267 (97.8%) zerosZeros
히말라야시다 has 265 (97.1%) zerosZeros
버드나무 has 267 (97.8%) zerosZeros
이팝 has 218 (79.9%) zerosZeros
노각나무 has 245 (89.7%) zerosZeros
감나무 has 267 (97.8%) zerosZeros
산딸나무 has 267 (97.8%) zerosZeros
목련 has 268 (98.2%) zerosZeros
가이즈까향 has 267 (97.8%) zerosZeros
소나무(반송) has 265 (97.1%) zerosZeros
소나무 has 266 (97.4%) zerosZeros

Reproduction

Analysis started2024-03-14 03:07:28.997428
Analysis finished2024-03-14 03:07:29.734090
Duration0.74 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct273
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean137
Minimum1
Maximum273
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2024-03-14T12:07:29.822565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile14.6
Q169
median137
Q3205
95-th percentile259.4
Maximum273
Range272
Interquartile range (IQR)136

Descriptive statistics

Standard deviation78.952517
Coefficient of variation (CV)0.57629575
Kurtosis-1.2
Mean137
Median Absolute Deviation (MAD)68
Skewness0
Sum37401
Variance6233.5
MonotonicityStrictly increasing
2024-03-14T12:07:29.936914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
181 1
 
0.4%
187 1
 
0.4%
186 1
 
0.4%
185 1
 
0.4%
184 1
 
0.4%
183 1
 
0.4%
182 1
 
0.4%
180 1
 
0.4%
206 1
 
0.4%
Other values (263) 263
96.3%
ValueCountFrequency (%)
1 1
0.4%
2 1
0.4%
3 1
0.4%
4 1
0.4%
5 1
0.4%
6 1
0.4%
7 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
ValueCountFrequency (%)
273 1
0.4%
272 1
0.4%
271 1
0.4%
270 1
0.4%
269 1
0.4%
268 1
0.4%
267 1
0.4%
266 1
0.4%
265 1
0.4%
264 1
0.4%

구
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
완산구
148 
덕진구
125 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
완산구 148
54.2%
덕진구 125
45.8%

Length

2024-03-14T12:07:30.038764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:07:30.112961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
완산구 148
54.2%
덕진구 125
45.8%

노선명
Text

MISSING 

Distinct254
Distinct (%)94.8%
Missing5
Missing (%)1.8%
Memory size2.3 KiB
2024-03-14T12:07:30.310476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length4.3097015
Min length3

Characters and Unicode

Total characters1155
Distinct characters228
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique240 ?
Unique (%)89.6%

Sample

1st row가절길
2nd row간납로
3rd row강변로
4th row거마남로
5th row거마산로
ValueCountFrequency (%)
유연로 2
 
0.7%
동부대로 2
 
0.7%
견훤왕궁로 2
 
0.7%
온고을로 2
 
0.7%
정여립로 2
 
0.7%
전주천서로 2
 
0.7%
기린대로 2
 
0.7%
아중로 2
 
0.7%
견훤로 2
 
0.7%
팔달로 2
 
0.7%
Other values (245) 249
92.6%
2024-03-14T12:07:30.646944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
로 173
 
15.0%
길 89
 
7.7%
천 29
 
2.5%
신 28
 
2.4%
산 26
 
2.3%
1 25
 
2.2%
서 21
 
1.8%
전 18
 
1.6%
2 16
 
1.4%
중 16
 
1.4%
Other values (218) 714
61.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1050
90.9%
Decimal Number 78
 
6.8%
Open Punctuation 11
 
1.0%
Close Punctuation 11
 
1.0%
Other Punctuation 3
 
0.3%
Space Separator 1
 
0.1%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 173
 
16.5%
길 89
 
8.5%
천 29
 
2.8%
신 28
 
2.7%
산 26
 
2.5%
서 21
 
2.0%
전 18
 
1.7%
중 16
 
1.5%
정 15
 
1.4%
혁 14
 
1.3%
Other values (203) 621
59.1%
Decimal Number
ValueCountFrequency (%)
1 25
32.1%
2 16
20.5%
3 12
15.4%
5 9
 
11.5%
4 7
 
9.0%
6 4
 
5.1%
7 2
 
2.6%
9 2
 
2.6%
8 1
 
1.3%
Other Punctuation
ValueCountFrequency (%)
@ 2
66.7%
, 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1050
90.9%
Common 105
 
9.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 173
 
16.5%
길 89
 
8.5%
천 29
 
2.8%
신 28
 
2.7%
산 26
 
2.5%
서 21
 
2.0%
전 18
 
1.7%
중 16
 
1.5%
정 15
 
1.4%
혁 14
 
1.3%
Other values (203) 621
59.1%
Common
ValueCountFrequency (%)
1 25
23.8%
2 16
15.2%
3 12
11.4%
( 11
10.5%
) 11
10.5%
5 9
 
8.6%
4 7
 
6.7%
6 4
 
3.8%
@ 2
 
1.9%
7 2
 
1.9%
Other values (5) 6
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1050
90.9%
ASCII 105
 
9.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
로 173
 
16.5%
길 89
 
8.5%
천 29
 
2.8%
신 28
 
2.7%
산 26
 
2.5%
서 21
 
2.0%
전 18
 
1.7%
중 16
 
1.5%
정 15
 
1.4%
혁 14
 
1.3%
Other values (203) 621
59.1%
ASCII
ValueCountFrequency (%)
1 25
23.8%
2 16
15.2%
3 12
11.4%
( 11
10.5%
) 11
10.5%
5 9
 
8.6%
4 7
 
6.7%
6 4
 
3.8%
@ 2
 
1.9%
7 2
 
1.9%
Other values (5) 6
 
5.7%

시점종점
Text

MISSING 

Distinct240
Distinct (%)91.3%
Missing10
Missing (%)3.7%
Memory size2.3 KiB
2024-03-14T12:07:30.818298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length29
Mean length12.387833
Min length7

Characters and Unicode

Total characters3258
Distinct characters310
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique220 ?
Unique (%)83.7%

Sample

1st row중화산로 ~ 신봉1길
2nd row기린대로 ~ 견훤로
3rd row새내로 ~ 홍산대교
4th row거마평로 ~ 솟대로
5th row삼천동우체국 ~ 용리로
ValueCountFrequency (%)
226
30.5%
천잠로 12
 
1.6%
장승배기로 11
 
1.5%
우전로 10
 
1.4%
홍산로 10
 
1.4%
거마평로 9
 
1.2%
강변로 9
 
1.2%
세내로 8
 
1.1%
백제대로 8
 
1.1%
유연로 8
 
1.1%
Other values (312) 429
58.0%
2024-03-14T12:07:31.099212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
478
 
14.7%
~ 261
 
8.0%
로 218
 
6.7%
교 68
 
2.1%
리 50
 
1.5%
전 50
 
1.5%
대 48
 
1.5%
천 48
 
1.5%
산 43
 
1.3%
주 42
 
1.3%
Other values (300) 1952
59.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2346
72.0%
Space Separator 478
 
14.7%
Math Symbol 261
 
8.0%
Decimal Number 109
 
3.3%
Uppercase Letter 37
 
1.1%
Other Punctuation 15
 
0.5%
Close Punctuation 5
 
0.2%
Open Punctuation 5
 
0.2%
Dash Punctuation 1
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 218
 
9.3%
교 68
 
2.9%
리 50
 
2.1%
전 50
 
2.1%
대 48
 
2.0%
천 48
 
2.0%
산 43
 
1.8%
주 42
 
1.8%
장 40
 
1.7%
거 37
 
1.6%
Other values (272) 1702
72.5%
Decimal Number
ValueCountFrequency (%)
1 23
21.1%
2 20
18.3%
3 19
17.4%
4 11
10.1%
7 11
10.1%
8 8
 
7.3%
0 7
 
6.4%
5 6
 
5.5%
9 3
 
2.8%
6 1
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
K 7
18.9%
C 6
16.2%
S 6
16.2%
B 5
13.5%
L 4
10.8%
H 4
10.8%
I 2
 
5.4%
G 2
 
5.4%
M 1
 
2.7%
Other Punctuation
ValueCountFrequency (%)
/ 10
66.7%
, 4
 
26.7%
. 1
 
6.7%
Space Separator
ValueCountFrequency (%)
478
100.0%
Math Symbol
ValueCountFrequency (%)
~ 261
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2347
72.0%
Common 874
 
26.8%
Latin 37
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 218
 
9.3%
교 68
 
2.9%
리 50
 
2.1%
전 50
 
2.1%
대 48
 
2.0%
천 48
 
2.0%
산 43
 
1.8%
주 42
 
1.8%
장 40
 
1.7%
거 37
 
1.6%
Other values (273) 1703
72.6%
Common
ValueCountFrequency (%)
478
54.7%
~ 261
29.9%
1 23
 
2.6%
2 20
 
2.3%
3 19
 
2.2%
4 11
 
1.3%
7 11
 
1.3%
/ 10
 
1.1%
8 8
 
0.9%
0 7
 
0.8%
Other values (8) 26
 
3.0%
Latin
ValueCountFrequency (%)
K 7
18.9%
C 6
16.2%
S 6
16.2%
B 5
13.5%
L 4
10.8%
H 4
10.8%
I 2
 
5.4%
G 2
 
5.4%
M 1
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2346
72.0%
ASCII 911
 
28.0%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
478
52.5%
~ 261
28.6%
1 23
 
2.5%
2 20
 
2.2%
3 19
 
2.1%
4 11
 
1.2%
7 11
 
1.2%
/ 10
 
1.1%
8 8
 
0.9%
0 7
 
0.8%
Other values (17) 63
 
6.9%
Hangul
ValueCountFrequency (%)
로 218
 
9.3%
교 68
 
2.9%
리 50
 
2.1%
전 50
 
2.1%
대 48
 
2.0%
천 48
 
2.0%
산 43
 
1.8%
주 42
 
1.8%
장 40
 
1.7%
거 37
 
1.6%
Other values (272) 1702
72.5%
None
ValueCountFrequency (%)
㈜ 1
100.0%

가로수 그루수
Real number (ℝ)

ZEROS 

Distinct194
Distinct (%)71.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean223.14652
Minimum0
Maximum3492
Zeros3
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2024-03-14T12:07:31.222432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7.6
Q141
median92
Q3247
95-th percentile848.2
Maximum3492
Range3492
Interquartile range (IQR)206

Descriptive statistics

Standard deviation388.20704
Coefficient of variation (CV)1.7396957
Kurtosis28.891566
Mean223.14652
Median Absolute Deviation (MAD)70
Skewness4.6366571
Sum60919
Variance150704.71
MonotonicityNot monotonic
2024-03-14T12:07:31.548692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
46 6
 
2.2%
17 5
 
1.8%
5 5
 
1.8%
41 4
 
1.5%
52 4
 
1.5%
83 4
 
1.5%
54 4
 
1.5%
22 3
 
1.1%
13 3
 
1.1%
9 3
 
1.1%
Other values (184) 232
85.0%
ValueCountFrequency (%)
0 3
1.1%
1 2
 
0.7%
3 1
 
0.4%
4 1
 
0.4%
5 5
1.8%
6 1
 
0.4%
7 1
 
0.4%
8 2
 
0.7%
9 3
1.1%
10 1
 
0.4%
ValueCountFrequency (%)
3492 1
0.4%
2887 1
0.4%
2184 1
0.4%
1742 1
0.4%
1338 1
0.4%
1319 1
0.4%
1210 1
0.4%
1153 1
0.4%
1140 1
0.4%
1114 1
0.4%

은행나무
Real number (ℝ)

ZEROS 

Distinct82
Distinct (%)30.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45.362637
Minimum0
Maximum692
Zeros175
Zeros (%)64.1%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2024-03-14T12:07:31.687318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q327
95-th percentile232.8
Maximum692
Range692
Interquartile range (IQR)27

Descriptive statistics

Standard deviation110.34583
Coefficient of variation (CV)2.4325268
Kurtosis13.583112
Mean45.362637
Median Absolute Deviation (MAD)0
Skewness3.5305158
Sum12384
Variance12176.203
MonotonicityNot monotonic
2024-03-14T12:07:31.894326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 175
64.1%
9 3
 
1.1%
25 3
 
1.1%
41 3
 
1.1%
22 2
 
0.7%
17 2
 
0.7%
218 2
 
0.7%
5 2
 
0.7%
19 2
 
0.7%
4 2
 
0.7%
Other values (72) 77
28.2%
ValueCountFrequency (%)
0 175
64.1%
1 1
 
0.4%
2 1
 
0.4%
3 1
 
0.4%
4 2
 
0.7%
5 2
 
0.7%
6 1
 
0.4%
7 1
 
0.4%
8 1
 
0.4%
9 3
 
1.1%
ValueCountFrequency (%)
692 1
0.4%
633 1
0.4%
609 1
0.4%
568 1
0.4%
539 1
0.4%
441 1
0.4%
433 1
0.4%
407 1
0.4%
405 1
0.4%
382 1
0.4%

느티
Text

Distinct86
Distinct (%)31.5%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2024-03-14T12:07:32.117446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length1
Mean length1.4981685
Min length1

Characters and Unicode

Total characters409
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique65 ?
Unique (%)23.8%

Sample

1st row0
2nd row105
3rd row8
4th row0
5th row0
ValueCountFrequency (%)
0 162
59.3%
8 4
 
1.5%
4 3
 
1.1%
1 3
 
1.1%
46 3
 
1.1%
2 3
 
1.1%
216 2
 
0.7%
12 2
 
0.7%
75 2
 
0.7%
181 2
 
0.7%
Other values (76) 87
31.9%
2024-03-14T12:07:32.411576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 175
42.8%
1 44
 
10.8%
2 35
 
8.6%
5 29
 
7.1%
4 25
 
6.1%
6 23
 
5.6%
3 22
 
5.4%
8 21
 
5.1%
9 16
 
3.9%
7 16
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 406
99.3%
Other Punctuation 3
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 175
43.1%
1 44
 
10.8%
2 35
 
8.6%
5 29
 
7.1%
4 25
 
6.2%
6 23
 
5.7%
3 22
 
5.4%
8 21
 
5.2%
9 16
 
3.9%
7 16
 
3.9%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 409
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 175
42.8%
1 44
 
10.8%
2 35
 
8.6%
5 29
 
7.1%
4 25
 
6.1%
6 23
 
5.6%
3 22
 
5.4%
8 21
 
5.1%
9 16
 
3.9%
7 16
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 409
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 175
42.8%
1 44
 
10.8%
2 35
 
8.6%
5 29
 
7.1%
4 25
 
6.1%
6 23
 
5.6%
3 22
 
5.4%
8 21
 
5.1%
9 16
 
3.9%
7 16
 
3.9%

왕벚나무
Real number (ℝ)

ZEROS 

Distinct35
Distinct (%)12.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.249084
Minimum0
Maximum822
Zeros237
Zeros (%)86.8%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2024-03-14T12:07:32.518861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile75.2
Maximum822
Range822
Interquartile range (IQR)0

Descriptive statistics

Standard deviation100.40245
Coefficient of variation (CV)4.5126552
Kurtosis35.448638
Mean22.249084
Median Absolute Deviation (MAD)0
Skewness5.7764558
Sum6074
Variance10080.651
MonotonicityNot monotonic
2024-03-14T12:07:32.660428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
0 237
86.8%
1 2
 
0.7%
13 2
 
0.7%
59 1
 
0.4%
436 1
 
0.4%
251 1
 
0.4%
705 1
 
0.4%
17 1
 
0.4%
316 1
 
0.4%
822 1
 
0.4%
Other values (25) 25
 
9.2%
ValueCountFrequency (%)
0 237
86.8%
1 2
 
0.7%
2 1
 
0.4%
7 1
 
0.4%
12 1
 
0.4%
13 2
 
0.7%
17 1
 
0.4%
20 1
 
0.4%
21 1
 
0.4%
27 1
 
0.4%
ValueCountFrequency (%)
822 1
0.4%
705 1
0.4%
697 1
0.4%
606 1
0.4%
464 1
0.4%
436 1
0.4%
316 1
0.4%
303 1
0.4%
282 1
0.4%
251 1
0.4%

중국단풍
Real number (ℝ)

ZEROS 

Distinct38
Distinct (%)13.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.263736
Minimum0
Maximum847
Zeros232
Zeros (%)85.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2024-03-14T12:07:32.758096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile80
Maximum847
Range847
Interquartile range (IQR)0

Descriptive statistics

Standard deviation64.571979
Coefficient of variation (CV)4.5270032
Kurtosis104.53615
Mean14.263736
Median Absolute Deviation (MAD)0
Skewness8.9882478
Sum3894
Variance4169.5405
MonotonicityNot monotonic
2024-03-14T12:07:32.865924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
0 232
85.0%
5 3
 
1.1%
1 2
 
0.7%
7 2
 
0.7%
83 1
 
0.4%
90 1
 
0.4%
34 1
 
0.4%
847 1
 
0.4%
10 1
 
0.4%
140 1
 
0.4%
Other values (28) 28
 
10.3%
ValueCountFrequency (%)
0 232
85.0%
1 2
 
0.7%
5 3
 
1.1%
7 2
 
0.7%
8 1
 
0.4%
10 1
 
0.4%
13 1
 
0.4%
14 1
 
0.4%
17 1
 
0.4%
26 1
 
0.4%
ValueCountFrequency (%)
847 1
0.4%
285 1
0.4%
267 1
0.4%
232 1
0.4%
228 1
0.4%
187 1
0.4%
174 1
0.4%
165 1
0.4%
151 1
0.4%
140 1
0.4%

플라타너스
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.7106227
Minimum0
Maximum319
Zeros254
Zeros (%)93.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2024-03-14T12:07:32.970144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile12.6
Maximum319
Range319
Interquartile range (IQR)0

Descriptive statistics

Standard deviation27.209302
Coefficient of variation (CV)5.7761581
Kurtosis80.442632
Mean4.7106227
Median Absolute Deviation (MAD)0
Skewness8.2973736
Sum1286
Variance740.3461
MonotonicityNot monotonic
2024-03-14T12:07:33.080056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 254
93.0%
4 2
 
0.7%
112 1
 
0.4%
1 1
 
0.4%
46 1
 
0.4%
89 1
 
0.4%
119 1
 
0.4%
2 1
 
0.4%
37 1
 
0.4%
24 1
 
0.4%
Other values (9) 9
 
3.3%
ValueCountFrequency (%)
0 254
93.0%
1 1
 
0.4%
2 1
 
0.4%
4 2
 
0.7%
7 1
 
0.4%
21 1
 
0.4%
24 1
 
0.4%
26 1
 
0.4%
37 1
 
0.4%
42 1
 
0.4%
ValueCountFrequency (%)
319 1
0.4%
214 1
0.4%
119 1
0.4%
112 1
0.4%
110 1
0.4%
89 1
0.4%
64 1
0.4%
46 1
0.4%
45 1
0.4%
42 1
0.4%

회화
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.3992674
Minimum0
Maximum324
Zeros257
Zeros (%)94.1%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2024-03-14T12:07:33.189073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile8.4
Maximum324
Range324
Interquartile range (IQR)0

Descriptive statistics

Standard deviation32.624619
Coefficient of variation (CV)6.0424158
Kurtosis63.238758
Mean5.3992674
Median Absolute Deviation (MAD)0
Skewness7.6932397
Sum1474
Variance1064.3657
MonotonicityNot monotonic
2024-03-14T12:07:33.304380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 257
94.1%
78 1
 
0.4%
44 1
 
0.4%
244 1
 
0.4%
34 1
 
0.4%
12 1
 
0.4%
324 1
 
0.4%
6 1
 
0.4%
17 1
 
0.4%
15 1
 
0.4%
Other values (7) 7
 
2.6%
ValueCountFrequency (%)
0 257
94.1%
5 1
 
0.4%
6 1
 
0.4%
12 1
 
0.4%
15 1
 
0.4%
17 1
 
0.4%
29 1
 
0.4%
34 1
 
0.4%
44 1
 
0.4%
60 1
 
0.4%
ValueCountFrequency (%)
324 1
0.4%
280 1
0.4%
244 1
0.4%
164 1
0.4%
91 1
0.4%
78 1
0.4%
71 1
0.4%
60 1
0.4%
44 1
0.4%
34 1
0.4%

단풍
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)8.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.7252747
Minimum0
Maximum309
Zeros246
Zeros (%)90.1%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2024-03-14T12:07:33.438994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile30
Maximum309
Range309
Interquartile range (IQR)0

Descriptive statistics

Standard deviation25.795035
Coefficient of variation (CV)5.4589492
Kurtosis86.010265
Mean4.7252747
Median Absolute Deviation (MAD)0
Skewness8.6038183
Sum1290
Variance665.38381
MonotonicityNot monotonic
2024-03-14T12:07:33.578762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0 246
90.1%
35 3
 
1.1%
5 2
 
0.7%
3 2
 
0.7%
48 1
 
0.4%
33 1
 
0.4%
36 1
 
0.4%
2 1
 
0.4%
60 1
 
0.4%
14 1
 
0.4%
Other values (14) 14
 
5.1%
ValueCountFrequency (%)
0 246
90.1%
1 1
 
0.4%
2 1
 
0.4%
3 2
 
0.7%
5 2
 
0.7%
7 1
 
0.4%
8 1
 
0.4%
10 1
 
0.4%
12 1
 
0.4%
14 1
 
0.4%
ValueCountFrequency (%)
309 1
0.4%
187 1
0.4%
170 1
0.4%
76 1
0.4%
73 1
0.4%
60 1
0.4%
48 1
0.4%
39 1
0.4%
37 1
0.4%
36 1
0.4%

참나무
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
0
272 
215
 
1

Length

Max length3
Median length1
Mean length1.007326
Min length1

Unique

Unique1 ?
Unique (%)0.4%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 272
99.6%
215 1
 
0.4%

Length

2024-03-14T12:07:33.746430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:07:33.938537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 272
99.6%
215 1
 
0.4%

메타세콰이야
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.4029304
Minimum0
Maximum213
Zeros256
Zeros (%)93.8%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2024-03-14T12:07:34.202562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile15.4
Maximum213
Range213
Interquartile range (IQR)0

Descriptive statistics

Standard deviation21.611176
Coefficient of variation (CV)4.908362
Kurtosis43.881497
Mean4.4029304
Median Absolute Deviation (MAD)0
Skewness6.1639373
Sum1202
Variance467.04293
MonotonicityNot monotonic
2024-03-14T12:07:34.331510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 256
93.8%
60 1
 
0.4%
93 1
 
0.4%
84 1
 
0.4%
19 1
 
0.4%
140 1
 
0.4%
50 1
 
0.4%
213 1
 
0.4%
115 1
 
0.4%
13 1
 
0.4%
Other values (8) 8
 
2.9%
ValueCountFrequency (%)
0 256
93.8%
5 1
 
0.4%
7 1
 
0.4%
13 1
 
0.4%
19 1
 
0.4%
34 1
 
0.4%
49 1
 
0.4%
50 1
 
0.4%
52 1
 
0.4%
58 1
 
0.4%
ValueCountFrequency (%)
213 1
0.4%
140 1
0.4%
115 1
0.4%
110 1
0.4%
100 1
0.4%
93 1
0.4%
84 1
0.4%
60 1
0.4%
58 1
0.4%
52 1
0.4%

낙우송
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.2747253
Minimum0
Maximum289
Zeros267
Zeros (%)97.8%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2024-03-14T12:07:34.416163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum289
Range289
Interquartile range (IQR)0

Descriptive statistics

Standard deviation21.807176
Coefficient of variation (CV)9.5867295
Kurtosis134.29132
Mean2.2747253
Median Absolute Deviation (MAD)0
Skewness11.275955
Sum621
Variance475.55293
MonotonicityNot monotonic
2024-03-14T12:07:34.500940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 267
97.8%
1 1
 
0.4%
198 1
 
0.4%
79 1
 
0.4%
40 1
 
0.4%
289 1
 
0.4%
14 1
 
0.4%
ValueCountFrequency (%)
0 267
97.8%
1 1
 
0.4%
14 1
 
0.4%
40 1
 
0.4%
79 1
 
0.4%
198 1
 
0.4%
289 1
 
0.4%
ValueCountFrequency (%)
289 1
 
0.4%
198 1
 
0.4%
79 1
 
0.4%
40 1
 
0.4%
14 1
 
0.4%
1 1
 
0.4%
0 267
97.8%

히말라야시다
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.047619
Minimum0
Maximum157
Zeros265
Zeros (%)97.1%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2024-03-14T12:07:34.581520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum157
Range157
Interquartile range (IQR)0

Descriptive statistics

Standard deviation15.860882
Coefficient of variation (CV)7.7460121
Kurtosis72.393826
Mean2.047619
Median Absolute Deviation (MAD)0
Skewness8.4456142
Sum559
Variance251.56758
MonotonicityNot monotonic
2024-03-14T12:07:34.664176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 265
97.1%
145 1
 
0.4%
1 1
 
0.4%
22 1
 
0.4%
6 1
 
0.4%
88 1
 
0.4%
16 1
 
0.4%
157 1
 
0.4%
124 1
 
0.4%
ValueCountFrequency (%)
0 265
97.1%
1 1
 
0.4%
6 1
 
0.4%
16 1
 
0.4%
22 1
 
0.4%
88 1
 
0.4%
124 1
 
0.4%
145 1
 
0.4%
157 1
 
0.4%
ValueCountFrequency (%)
157 1
 
0.4%
145 1
 
0.4%
124 1
 
0.4%
88 1
 
0.4%
22 1
 
0.4%
16 1
 
0.4%
6 1
 
0.4%
1 1
 
0.4%
0 265
97.1%

버드나무
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.73992674
Minimum0
Maximum124
Zeros267
Zeros (%)97.8%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2024-03-14T12:07:34.760922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum124
Range124
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8.2485593
Coefficient of variation (CV)11.147805
Kurtosis191.44624
Mean0.73992674
Median Absolute Deviation (MAD)0
Skewness13.431428
Sum202
Variance68.038731
MonotonicityNot monotonic
2024-03-14T12:07:34.841858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 267
97.8%
5 1
 
0.4%
15 1
 
0.4%
55 1
 
0.4%
1 1
 
0.4%
124 1
 
0.4%
2 1
 
0.4%
ValueCountFrequency (%)
0 267
97.8%
1 1
 
0.4%
2 1
 
0.4%
5 1
 
0.4%
15 1
 
0.4%
55 1
 
0.4%
124 1
 
0.4%
ValueCountFrequency (%)
124 1
 
0.4%
55 1
 
0.4%
15 1
 
0.4%
5 1
 
0.4%
2 1
 
0.4%
1 1
 
0.4%
0 267
97.8%

이팝
Real number (ℝ)

ZEROS 

Distinct47
Distinct (%)17.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.531136
Minimum0
Maximum785
Zeros218
Zeros (%)79.9%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2024-03-14T12:07:34.948647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile163.8
Maximum785
Range785
Interquartile range (IQR)0

Descriptive statistics

Standard deviation81.494316
Coefficient of variation (CV)3.3220768
Kurtosis34.638024
Mean24.531136
Median Absolute Deviation (MAD)0
Skewness5.1933708
Sum6697
Variance6641.3235
MonotonicityNot monotonic
2024-03-14T12:07:35.064083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
0 218
79.9%
5 3
 
1.1%
138 2
 
0.7%
3 2
 
0.7%
55 2
 
0.7%
13 2
 
0.7%
27 2
 
0.7%
242 2
 
0.7%
46 2
 
0.7%
64 1
 
0.4%
Other values (37) 37
 
13.6%
ValueCountFrequency (%)
0 218
79.9%
1 1
 
0.4%
3 2
 
0.7%
5 3
 
1.1%
6 1
 
0.4%
10 1
 
0.4%
13 2
 
0.7%
18 1
 
0.4%
19 1
 
0.4%
22 1
 
0.4%
ValueCountFrequency (%)
785 1
0.4%
459 1
0.4%
424 1
0.4%
369 1
0.4%
323 1
0.4%
319 1
0.4%
263 1
0.4%
256 1
0.4%
242 2
0.7%
234 1
0.4%

노각나무
Real number (ℝ)

ZEROS 

Distinct27
Distinct (%)9.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.2673993
Minimum0
Maximum228
Zeros245
Zeros (%)89.7%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2024-03-14T12:07:35.161341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile42.4
Maximum228
Range228
Interquartile range (IQR)0

Descriptive statistics

Standard deviation21.566372
Coefficient of variation (CV)4.0943111
Kurtosis52.566895
Mean5.2673993
Median Absolute Deviation (MAD)0
Skewness6.4216042
Sum1438
Variance465.10838
MonotonicityNot monotonic
2024-03-14T12:07:35.248019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0 245
89.7%
36 2
 
0.7%
52 2
 
0.7%
43 1
 
0.4%
92 1
 
0.4%
228 1
 
0.4%
12 1
 
0.4%
1 1
 
0.4%
9 1
 
0.4%
25 1
 
0.4%
Other values (17) 17
 
6.2%
ValueCountFrequency (%)
0 245
89.7%
1 1
 
0.4%
6 1
 
0.4%
9 1
 
0.4%
12 1
 
0.4%
13 1
 
0.4%
15 1
 
0.4%
25 1
 
0.4%
26 1
 
0.4%
29 1
 
0.4%
ValueCountFrequency (%)
228 1
0.4%
159 1
0.4%
92 1
0.4%
83 1
0.4%
78 1
0.4%
68 1
0.4%
60 1
0.4%
57 1
0.4%
52 2
0.7%
51 1
0.4%

감나무
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3956044
Minimum0
Maximum48
Zeros267
Zeros (%)97.8%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2024-03-14T12:07:35.323257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum48
Range48
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.423145
Coefficient of variation (CV)8.6529499
Kurtosis144.76054
Mean0.3956044
Median Absolute Deviation (MAD)0
Skewness11.331108
Sum108
Variance11.717922
MonotonicityNot monotonic
2024-03-14T12:07:35.406624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 267
97.8%
48 1
 
0.4%
20 1
 
0.4%
12 1
 
0.4%
18 1
 
0.4%
3 1
 
0.4%
7 1
 
0.4%
ValueCountFrequency (%)
0 267
97.8%
3 1
 
0.4%
7 1
 
0.4%
12 1
 
0.4%
18 1
 
0.4%
20 1
 
0.4%
48 1
 
0.4%
ValueCountFrequency (%)
48 1
 
0.4%
20 1
 
0.4%
18 1
 
0.4%
12 1
 
0.4%
7 1
 
0.4%
3 1
 
0.4%
0 267
97.8%

소나무(곰솔)
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
0
270 
1
 
2
130
 
1

Length

Max length3
Median length1
Mean length1.007326
Min length1

Unique

Unique1 ?
Unique (%)0.4%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 270
98.9%
1 2
 
0.7%
130 1
 
0.4%

Length

2024-03-14T12:07:35.526136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:07:35.614396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 270
98.9%
1 2
 
0.7%
130 1
 
0.4%

소나무(조형)
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
0
269 
28
 
1
88
 
1
21
 
1
145
 
1

Length

Max length3
Median length1
Mean length1.018315
Min length1

Unique

Unique4 ?
Unique (%)1.5%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 269
98.5%
28 1
 
0.4%
88 1
 
0.4%
21 1
 
0.4%
145 1
 
0.4%

Length

2024-03-14T12:07:35.702701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:07:35.793216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 269
98.5%
28 1
 
0.4%
88 1
 
0.4%
21 1
 
0.4%
145 1
 
0.4%

산딸나무
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.73626374
Minimum0
Maximum99
Zeros267
Zeros (%)97.8%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2024-03-14T12:07:35.873712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum99
Range99
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.8805488
Coefficient of variation (CV)9.345223
Kurtosis159.4758
Mean0.73626374
Median Absolute Deviation (MAD)0
Skewness11.96973
Sum201
Variance47.341952
MonotonicityNot monotonic
2024-03-14T12:07:35.964164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 267
97.8%
5 1
 
0.4%
99 1
 
0.4%
1 1
 
0.4%
26 1
 
0.4%
29 1
 
0.4%
41 1
 
0.4%
ValueCountFrequency (%)
0 267
97.8%
1 1
 
0.4%
5 1
 
0.4%
26 1
 
0.4%
29 1
 
0.4%
41 1
 
0.4%
99 1
 
0.4%
ValueCountFrequency (%)
99 1
 
0.4%
41 1
 
0.4%
29 1
 
0.4%
26 1
 
0.4%
5 1
 
0.4%
1 1
 
0.4%
0 267
97.8%

꽃사과
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
0
272 
381
 
1

Length

Max length3
Median length1
Mean length1.007326
Min length1

Unique

Unique1 ?
Unique (%)0.4%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 272
99.6%
381 1
 
0.4%

Length

2024-03-14T12:07:36.059577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:07:36.157485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 272
99.6%
381 1
 
0.4%

목련
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.24542125
Minimum0
Maximum41
Zeros268
Zeros (%)98.2%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2024-03-14T12:07:36.261500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum41
Range41
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.6447484
Coefficient of variation (CV)10.776363
Kurtosis211.09926
Mean0.24542125
Median Absolute Deviation (MAD)0
Skewness14.039898
Sum67
Variance6.994694
MonotonicityNot monotonic
2024-03-14T12:07:36.406507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 268
98.2%
13 1
 
0.4%
41 1
 
0.4%
4 1
 
0.4%
2 1
 
0.4%
7 1
 
0.4%
ValueCountFrequency (%)
0 268
98.2%
2 1
 
0.4%
4 1
 
0.4%
7 1
 
0.4%
13 1
 
0.4%
41 1
 
0.4%
ValueCountFrequency (%)
41 1
 
0.4%
13 1
 
0.4%
7 1
 
0.4%
4 1
 
0.4%
2 1
 
0.4%
0 268
98.2%

자귀나무
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
0
271 
3
 
1
24
 
1

Length

Max length2
Median length1
Mean length1.003663
Min length1

Unique

Unique2 ?
Unique (%)0.7%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 271
99.3%
3 1
 
0.4%
24 1
 
0.4%

Length

2024-03-14T12:07:36.523668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:07:36.601098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 271
99.3%
3 1
 
0.4%
24 1
 
0.4%

측백
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
0
270 
5
 
1
9
 
1
69
 
1

Length

Max length2
Median length1
Mean length1.003663
Min length1

Unique

Unique3 ?
Unique (%)1.1%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 270
98.9%
5 1
 
0.4%
9 1
 
0.4%
69 1
 
0.4%

Length

2024-03-14T12:07:36.679803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:07:36.764549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 270
98.9%
5 1
 
0.4%
9 1
 
0.4%
69 1
 
0.4%

가이즈까향
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3150183
Minimum0
Maximum220
Zeros267
Zeros (%)97.8%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2024-03-14T12:07:36.859787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum220
Range220
Interquartile range (IQR)0

Descriptive statistics

Standard deviation14.054896
Coefficient of variation (CV)10.687985
Kurtosis218.73925
Mean1.3150183
Median Absolute Deviation (MAD)0
Skewness14.316538
Sum359
Variance197.5401
MonotonicityNot monotonic
2024-03-14T12:07:36.937560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 267
97.8%
22 1
 
0.4%
21 1
 
0.4%
3 1
 
0.4%
220 1
 
0.4%
30 1
 
0.4%
63 1
 
0.4%
ValueCountFrequency (%)
0 267
97.8%
3 1
 
0.4%
21 1
 
0.4%
22 1
 
0.4%
30 1
 
0.4%
63 1
 
0.4%
220 1
 
0.4%
ValueCountFrequency (%)
220 1
 
0.4%
63 1
 
0.4%
30 1
 
0.4%
22 1
 
0.4%
21 1
 
0.4%
3 1
 
0.4%
0 267
97.8%

목백합
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
0
272 
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.4%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 272
99.6%
2 1
 
0.4%

Length

2024-03-14T12:07:37.023514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:07:37.097586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 272
99.6%
2 1
 
0.4%

대왕참나무
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
0
271 
13
 
1
59
 
1

Length

Max length2
Median length1
Mean length1.007326
Min length1

Unique

Unique2 ?
Unique (%)0.7%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 271
99.3%
13 1
 
0.4%
59 1
 
0.4%

Length

2024-03-14T12:07:37.180778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:07:37.269516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 271
99.3%
13 1
 
0.4%
59 1
 
0.4%

칠엽수
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
0
269 
428
 
2
332
 
1
96
 
1

Length

Max length3
Median length1
Mean length1.025641
Min length1

Unique

Unique2 ?
Unique (%)0.7%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 269
98.5%
428 2
 
0.7%
332 1
 
0.4%
96 1
 
0.4%

Length

2024-03-14T12:07:37.354516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:07:37.438326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 269
98.5%
428 2
 
0.7%
332 1
 
0.4%
96 1
 
0.4%

아로니아
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
0
271 
378
 
1
106
 
1

Length

Max length3
Median length1
Mean length1.014652
Min length1

Unique

Unique2 ?
Unique (%)0.7%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 271
99.3%
378 1
 
0.4%
106 1
 
0.4%

Length

2024-03-14T12:07:37.524894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:07:37.608922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 271
99.3%
378 1
 
0.4%
106 1
 
0.4%

둥근주목
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
0
268 
7
 
2
101
 
1
8
 
1
17
 
1

Length

Max length3
Median length1
Mean length1.010989
Min length1

Unique

Unique3 ?
Unique (%)1.1%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 268
98.2%
7 2
 
0.7%
101 1
 
0.4%
8 1
 
0.4%
17 1
 
0.4%

Length

2024-03-14T12:07:37.693498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:07:37.778925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 268
98.2%
7 2
 
0.7%
101 1
 
0.4%
8 1
 
0.4%
17 1
 
0.4%

배롱나무
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
0
271 
3
 
1
72
 
1

Length

Max length2
Median length1
Mean length1.003663
Min length1

Unique

Unique2 ?
Unique (%)0.7%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 271
99.3%
3 1
 
0.4%
72 1
 
0.4%

Length

2024-03-14T12:07:38.102470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:07:38.182284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 271
99.3%
3 1
 
0.4%
72 1
 
0.4%

선주목
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
0
273 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 273
100.0%

Length

2024-03-14T12:07:38.277045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:07:38.358257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 273
100.0%

섬잣나무
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
0
269 
2
 
2
12
 
1
7
 
1

Length

Max length2
Median length1
Mean length1.003663
Min length1

Unique

Unique2 ?
Unique (%)0.7%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 269
98.5%
2 2
 
0.7%
12 1
 
0.4%
7 1
 
0.4%

Length

2024-03-14T12:07:38.470753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:07:38.610268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 269
98.5%
2 2
 
0.7%
12 1
 
0.4%
7 1
 
0.4%

소나무(반송)
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.8827839
Minimum0
Maximum670
Zeros265
Zeros (%)97.1%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2024-03-14T12:07:38.717322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum670
Range670
Interquartile range (IQR)0

Descriptive statistics

Standard deviation45.294472
Coefficient of variation (CV)11.665463
Kurtosis183.50665
Mean3.8827839
Median Absolute Deviation (MAD)0
Skewness13.226747
Sum1060
Variance2051.5892
MonotonicityNot monotonic
2024-03-14T12:07:38.822743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 265
97.1%
3 3
 
1.1%
4 1
 
0.4%
335 1
 
0.4%
28 1
 
0.4%
670 1
 
0.4%
14 1
 
0.4%
ValueCountFrequency (%)
0 265
97.1%
3 3
 
1.1%
4 1
 
0.4%
14 1
 
0.4%
28 1
 
0.4%
335 1
 
0.4%
670 1
 
0.4%
ValueCountFrequency (%)
670 1
 
0.4%
335 1
 
0.4%
28 1
 
0.4%
14 1
 
0.4%
4 1
 
0.4%
3 3
 
1.1%
0 265
97.1%

복자기나무
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
0
273 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 273
100.0%

Length

2024-03-14T12:07:38.918019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:07:39.012213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 273
100.0%

소나무
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.2344322
Minimum0
Maximum213
Zeros266
Zeros (%)97.4%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2024-03-14T12:07:39.077504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum213
Range213
Interquartile range (IQR)0

Descriptive statistics

Standard deviation13.624561
Coefficient of variation (CV)11.037107
Kurtosis218.63368
Mean1.2344322
Median Absolute Deviation (MAD)0
Skewness14.375043
Sum337
Variance185.62866
MonotonicityNot monotonic
2024-03-14T12:07:39.161827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 266
97.4%
16 2
 
0.7%
6 1
 
0.4%
15 1
 
0.4%
213 1
 
0.4%
2 1
 
0.4%
69 1
 
0.4%
ValueCountFrequency (%)
0 266
97.4%
2 1
 
0.4%
6 1
 
0.4%
15 1
 
0.4%
16 2
 
0.7%
69 1
 
0.4%
213 1
 
0.4%
ValueCountFrequency (%)
213 1
 
0.4%
69 1
 
0.4%
16 2
 
0.7%
15 1
 
0.4%
6 1
 
0.4%
2 1
 
0.4%
0 266
97.4%

소나무(장송)
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
0
273 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 273
100.0%

Length

2024-03-14T12:07:39.248808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:07:39.316190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 273
100.0%

서양측백
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
0
271 
45
 
1
115
 
1

Length

Max length3
Median length1
Mean length1.010989
Min length1

Unique

Unique2 ?
Unique (%)0.7%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 271
99.3%
45 1
 
0.4%
115 1
 
0.4%

Length

2024-03-14T12:07:39.398008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:07:39.481847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 271
99.3%
45 1
 
0.4%
115 1
 
0.4%

맥문동
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
0
273 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 273
100.0%

Length

2024-03-14T12:07:39.577108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:07:39.655174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 273
100.0%

말발도리
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
0
273 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 273
100.0%

Length

2024-03-14T12:07:39.725850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:07:39.795577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 273
100.0%

스트로브잣나무
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
0
273 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 273
100.0%

Length

2024-03-14T12:07:39.868254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:07:39.935924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 273
100.0%

현사시나무
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
0
272 
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.4%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 272
99.6%
1 1
 
0.4%

Length

2024-03-14T12:07:40.016001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:07:40.097975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 272
99.6%
1 1
 
0.4%

구골목서
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
0
273 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 273
100.0%

Length

2024-03-14T12:07:40.183568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:07:40.256104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 273
100.0%

눈향
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
0
273 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 273
100.0%

Length

2024-03-14T12:07:40.327764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:07:40.404973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 273
100.0%

모과나무
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
0
273 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 273
100.0%

Length

2024-03-14T12:07:40.488509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:07:40.563952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 273
100.0%

비자나무
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
0
273 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 273
100.0%

Length

2024-03-14T12:07:40.641106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:07:40.731691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 273
100.0%

산수유
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
0
271 
85
 
1
270
 
1

Length

Max length3
Median length1
Mean length1.010989
Min length1

Unique

Unique2 ?
Unique (%)0.7%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 271
99.3%
85 1
 
0.4%
270 1
 
0.4%

Length

2024-03-14T12:07:40.871458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:07:40.972595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 271
99.3%
85 1
 
0.4%
270 1
 
0.4%

아까시나무
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
0
273 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 273
100.0%

Length

2024-03-14T12:07:41.068806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:07:41.156402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 273
100.0%

오동나무
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
0
273 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 273
100.0%

Length

2024-03-14T12:07:41.228508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:07:41.299590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 273
100.0%

팽나무
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
0
269 
1
 
1
178
 
1
175
 
1
154
 
1

Length

Max length3
Median length1
Mean length1.021978
Min length1

Unique

Unique4 ?
Unique (%)1.5%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 269
98.5%
1 1
 
0.4%
178 1
 
0.4%
175 1
 
0.4%
154 1
 
0.4%

Length

2024-03-14T12:07:41.394134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:07:41.487787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 269
98.5%
1 1
 
0.4%
178 1
 
0.4%
175 1
 
0.4%
154 1
 
0.4%

편백나무
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
0
273 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 273
100.0%

Length

2024-03-14T12:07:41.570730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:07:41.647222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 273
100.0%

박태기나무
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
0
273 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 273
100.0%

Length

2024-03-14T12:07:41.732572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:07:41.804372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 273
100.0%

꽃잔디
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
0
272 
719
 
1

Length

Max length3
Median length1
Mean length1.007326
Min length1

Unique

Unique1 ?
Unique (%)0.4%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 272
99.6%
719 1
 
0.4%

Length

2024-03-14T12:07:41.886507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:07:41.969709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 272
99.6%
719 1
 
0.4%

전나무
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
0
273 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 273
100.0%

Length

2024-03-14T12:07:42.041367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:07:42.112614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 273
100.0%

조릿대
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
0
273 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 273
100.0%

Length

2024-03-14T12:07:42.192786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:07:42.275589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 273
100.0%

매실나무
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
0
273 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 273
100.0%

Length

2024-03-14T12:07:42.366227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:07:42.444256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 273
100.0%

때죽나무
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
0
272 
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.4%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 272
99.6%
3 1
 
0.4%

Length

2024-03-14T12:07:42.520969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:07:42.602920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 272
99.6%
3 1
 
0.4%

꾸지나무
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
0
273 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 273
100.0%

Length

2024-03-14T12:07:42.702481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:07:42.774174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 273
100.0%

대나무
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
0
273 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 273
100.0%

Length

2024-03-14T12:07:42.849868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:07:42.946451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 273
100.0%

버즘나무
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
0
273 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 273
100.0%

Length

2024-03-14T12:07:43.066746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:07:43.173850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 273
100.0%

잣나무
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
0
272 
10
 
1

Length

Max length2
Median length1
Mean length1.003663
Min length1

Unique

Unique1 ?
Unique (%)0.4%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 272
99.6%
10 1
 
0.4%

Length

2024-03-14T12:07:43.266626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:07:43.341845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 272
99.6%
10 1
 
0.4%

국수나무
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
0
273 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 273
100.0%

Length

2024-03-14T12:07:43.418926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:07:43.492468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 273
100.0%

덜꿩나무
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
0
273 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 273
100.0%

Length

2024-03-14T12:07:43.565665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:07:43.636823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 273
100.0%

진달래
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
0
273 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 273
100.0%

Length

2024-03-14T12:07:43.716755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:07:43.794908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 273
100.0%

계수나무
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
0
273 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 273
100.0%

Length

2024-03-14T12:07:43.886715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:07:43.978259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 273
100.0%

리기다소나무
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
0
273 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 273
100.0%

Length

2024-03-14T12:07:44.052774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:07:44.119317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 273
100.0%

물푸레나무
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
0
273 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 273
100.0%

Length

2024-03-14T12:07:44.192231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:07:44.260547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 273
100.0%

오리나무
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
0
273 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 273
100.0%

Length

2024-03-14T12:07:44.340879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:07:44.416682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 273
100.0%

금목서
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
0
273 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 273
100.0%

Length

2024-03-14T12:07:44.487340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:07:44.559456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 273
100.0%

동백나무
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
0
273 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 273
100.0%

Length

2024-03-14T12:07:44.636120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:07:44.709423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 273
100.0%

개쉬땅나무
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
0
273 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 273
100.0%

Length

2024-03-14T12:07:45.007325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:07:45.076882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 273
100.0%

매화나무
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
0
273 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 273
100.0%

Length

2024-03-14T12:07:45.160345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:07:45.276227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 273
100.0%

산벚나무
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
0
273 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 273
100.0%

Length

2024-03-14T12:07:45.406710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:07:45.506919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 273
100.0%

매자나무
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
0
273 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 273
100.0%

Length

2024-03-14T12:07:45.580329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:07:45.647480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 273
100.0%

Sample

연번구노선명시점종점가로수 그루수은행나무느티왕벚나무중국단풍플라타너스회화단풍참나무메타세콰이야낙우송히말라야시다버드나무이팝노각나무감나무소나무(곰솔)소나무(조형)산딸나무꽃사과목련자귀나무측백가이즈까향목백합대왕참나무칠엽수아로니아둥근주목배롱나무선주목섬잣나무소나무(반송)복자기나무소나무소나무(장송)서양측백맥문동말발도리스트로브잣나무현사시나무구골목서눈향모과나무비자나무산수유아까시나무오동나무팽나무편백나무박태기나무꽃잔디전나무조릿대매실나무때죽나무꾸지나무대나무버즘나무잣나무국수나무덜꿩나무진달래계수나무리기다소나무물푸레나무오리나무금목서동백나무개쉬땅나무매화나무산벚나무매자나무
01완산구가절길중화산로 ~ 신봉1길1100000000000000000000000000000000000000000000000000000000000000000000000
12완산구간납로기린대로 ~ 견훤로11001050000000000000005000000000000000000000000000000000000000000000000000000
23완산구강변로새내로 ~ 홍산대교5931218464000000000000000000000000000000000000000000000000000000000000000000000
34완산구거마남로거마평로 ~ 솟대로420000420000000000000000000000000000000000000000000000000000000000000000000
45완산구거마산로삼천동우체국 ~ 용리로260000260000000000000000000000000000000000000000000000000000000000000000000
56완산구거마중앙로거마평로 ~ 장승배기로11000001100000000000000000000000000000000000000000000000000000000000000000000
67완산구거마평로장승배기로 ~ 이동교179670000780034000000000000000000000000000000000000000000000000000000000000000
78완산구견훤로마당재사거리 ~ 한국타이어213011400000000000000099000000000000000000000000000000000000000000000000000000
89완산구견훤왕궁로병무청사거리 ~ 신일중학교13000000000000000013000000000000000000000000000000000000000000000000000000000
910완산구구이로완주군경계 ~ 평화동지시재2471468600073000000680000000000000000000000000000000000000000000000000000000000
연번구노선명시점종점가로수 그루수은행나무느티왕벚나무중국단풍플라타너스회화단풍참나무메타세콰이야낙우송히말라야시다버드나무이팝노각나무감나무소나무(곰솔)소나무(조형)산딸나무꽃사과목련자귀나무측백가이즈까향목백합대왕참나무칠엽수아로니아둥근주목배롱나무선주목섬잣나무소나무(반송)복자기나무소나무소나무(장송)서양측백맥문동말발도리스트로브잣나무현사시나무구골목서눈향모과나무비자나무산수유아까시나무오동나무팽나무편백나무박태기나무꽃잔디전나무조릿대매실나무때죽나무꾸지나무대나무버즘나무잣나무국수나무덜꿩나무진달래계수나무리기다소나무물푸레나무오리나무금목서동백나무개쉬땅나무매화나무산벚나무매자나무
263264덕진구백석남로(송천2가1373)460000000000004600000000000000000000000000000000000000000000000000000000000
264265덕진구세병로송천동2가138742400000000000042400000000000000000000000000000000000000000000000000000000000
265266덕진구세병로송천동2가1381540005400000000000000000000000000000000000000000000000000000000000000000000
266267덕진구<NA>송천2가1378140001400000000000000000000000000000000000000000000000000000000000000000000
267268덕진구<NA>더샵3차,데시앙8사이도로(송천2가1383)350000000000003500000000000000000000000000000000000000000000000000000000000
268269덕진구<NA>데시앙넥스트301~데시앙2차706사이도로(송천2가1384)460000000000004600000000000000000000000000000000000000000000000000000000000
269270덕진구<NA>포레나~데시앙4사이도로(송천2가1391)390003900000000000000000000000000000000000000000000000000000000000000000000
270271덕진구세병서로송천2가1400770007700000000000000000000000000000000000000000000000000000000000000000000
271272덕진구<NA>송천2가1388330000000000003300000000000000000000000000000000000000000000000000000000000
272273덕진구화암1길송천2가1407350350000000000000000000000000000000000000000000000000000000000000000000000