Overview

Dataset statistics

Number of variables25
Number of observations2203
Missing cells228
Missing cells (%)0.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory469.1 KiB
Average record size in memory218.1 B

Variable types

Numeric9
Categorical14
Text2

Dataset

Description고유번호,구명,수목고유번호,구번호,동명,순번,수목명,흉고지름,수고,수관너비,위치,주변토지사용상태,품계흉고,품계활력,품계수형,품계수종,품계위치,관리등급,피해상태,학명,식생활력,품계등급,관리기관,X 좌표,Y 좌표
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-319/S/1/datasetView.do

Alerts

구명 has constant value ""Constant
구번호 has constant value ""Constant
품계활력 has constant value ""Constant
품계수형 has constant value ""Constant
관리기관 has constant value ""Constant
품계흉고 is highly imbalanced (56.4%)Imbalance
관리등급 is highly imbalanced (63.0%)Imbalance
피해상태 is highly imbalanced (79.9%)Imbalance
식생활력 is highly imbalanced (77.5%)Imbalance
위치 has 228 (10.3%) missing valuesMissing
고유번호 has unique valuesUnique
수목고유번호 has unique valuesUnique
Y 좌표 has unique valuesUnique
흉고지름 has 29 (1.3%) zerosZeros
수고 has 29 (1.3%) zerosZeros
수관너비 has 31 (1.4%) zerosZeros
주변토지사용상태 has 29 (1.3%) zerosZeros
품계등급 has 80 (3.6%) zerosZeros

Reproduction

Analysis started2023-12-11 08:58:52.729631
Analysis finished2023-12-11 08:58:53.381497
Duration0.65 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

고유번호
Real number (ℝ)

UNIQUE 

Distinct2203
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20001102
Minimum20000001
Maximum20002203
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size19.5 KiB
2023-12-11T17:58:53.474766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20000001
5-th percentile20000111
Q120000552
median20001102
Q320001652
95-th percentile20002093
Maximum20002203
Range2202
Interquartile range (IQR)1101

Descriptive statistics

Standard deviation636.09564
Coefficient of variation (CV)3.180303 × 10-5
Kurtosis-1.2
Mean20001102
Median Absolute Deviation (MAD)551
Skewness0
Sum4.4062428 × 1010
Variance404617.67
MonotonicityNot monotonic
2023-12-11T17:58:53.631289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20001264 1
 
< 0.1%
20001427 1
 
< 0.1%
20002179 1
 
< 0.1%
20001421 1
 
< 0.1%
20001422 1
 
< 0.1%
20001423 1
 
< 0.1%
20001425 1
 
< 0.1%
20001426 1
 
< 0.1%
20001428 1
 
< 0.1%
20001941 1
 
< 0.1%
Other values (2193) 2193
99.5%
ValueCountFrequency (%)
20000001 1
< 0.1%
20000002 1
< 0.1%
20000003 1
< 0.1%
20000004 1
< 0.1%
20000005 1
< 0.1%
20000006 1
< 0.1%
20000007 1
< 0.1%
20000008 1
< 0.1%
20000009 1
< 0.1%
20000010 1
< 0.1%
ValueCountFrequency (%)
20002203 1
< 0.1%
20002202 1
< 0.1%
20002201 1
< 0.1%
20002200 1
< 0.1%
20002199 1
< 0.1%
20002198 1
< 0.1%
20002197 1
< 0.1%
20002196 1
< 0.1%
20002195 1
< 0.1%
20002194 1
< 0.1%

구명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size17.3 KiB
중구
2203 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
중구 2203
100.0%

Length

2023-12-11T17:58:53.778421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T17:58:53.893788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
중구 2203
100.0%

수목고유번호
Text

UNIQUE 

Distinct2203
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size17.3 KiB
2023-12-11T17:58:54.155729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length12
Mean length12.67862
Min length11

Characters and Unicode

Total characters27931
Distinct characters41
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

Unique2203 ?
Unique (%)100.0%

Sample

1st row2-장충동-큰-0108
2nd row2-중림동-큰-0016
3rd row2-중림동-큰-0109
4th row2-장충동-큰-0071
5th row2-신당3동-큰-0025
ValueCountFrequency (%)
2-장충동-큰-0108 1
 
< 0.1%
2-신당3동-큰-0026 1
 
< 0.1%
2-남대문로5가동-큰-0052 1
 
< 0.1%
2-소공동-큰-0232 1
 
< 0.1%
2-장충동-큰-0061 1
 
< 0.1%
2-회현동-큰-0143 1
 
< 0.1%
2-신당3동-큰-0045 1
 
< 0.1%
2-신당3동-큰-0035 1
 
< 0.1%
2-장충동-큰-0014 1
 
< 0.1%
2-신당2동-큰-0053 1
 
< 0.1%
Other values (2193) 2193
99.5%
2023-12-11T17:58:54.600117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 6609
23.7%
0 4128
14.8%
2 2978
10.7%
동 2203
 
7.9%
큰 2203
 
7.9%
1 1290
 
4.6%
5 722
 
2.6%
4 700
 
2.5%
3 670
 
2.4%
충 515
 
1.8%
Other values (31) 5913
21.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12067
43.2%
Other Letter 9255
33.1%
Dash Punctuation 6609
23.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 2203
23.8%
큰 2203
23.8%
충 515
 
5.6%
신 415
 
4.5%
당 415
 
4.5%
로 393
 
4.2%
장 374
 
4.0%
소 315
 
3.4%
공 315
 
3.4%
현 219
 
2.4%
Other values (20) 1888
20.4%
Decimal Number
ValueCountFrequency (%)
0 4128
34.2%
2 2978
24.7%
1 1290
 
10.7%
5 722
 
6.0%
4 700
 
5.8%
3 670
 
5.6%
6 477
 
4.0%
7 378
 
3.1%
8 364
 
3.0%
9 360
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 6609
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18676
66.9%
Hangul 9255
33.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 2203
23.8%
큰 2203
23.8%
충 515
 
5.6%
신 415
 
4.5%
당 415
 
4.5%
로 393
 
4.2%
장 374
 
4.0%
소 315
 
3.4%
공 315
 
3.4%
현 219
 
2.4%
Other values (20) 1888
20.4%
Common
ValueCountFrequency (%)
- 6609
35.4%
0 4128
22.1%
2 2978
15.9%
1 1290
 
6.9%
5 722
 
3.9%
4 700
 
3.7%
3 670
 
3.6%
6 477
 
2.6%
7 378
 
2.0%
8 364
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18676
66.9%
Hangul 9255
33.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 6609
35.4%
0 4128
22.1%
2 2978
15.9%
1 1290
 
6.9%
5 722
 
3.9%
4 700
 
3.7%
3 670
 
3.6%
6 477
 
2.6%
7 378
 
2.0%
8 364
 
1.9%
Hangul
ValueCountFrequency (%)
동 2203
23.8%
큰 2203
23.8%
충 515
 
5.6%
신 415
 
4.5%
당 415
 
4.5%
로 393
 
4.2%
장 374
 
4.0%
소 315
 
3.4%
공 315
 
3.4%
현 219
 
2.4%
Other values (20) 1888
20.4%

구번호
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size17.3 KiB
2
2203 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
2 2203
100.0%

Length

2023-12-11T17:58:54.782467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T17:58:54.906279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 2203
100.0%

동명
Categorical

Distinct19
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size17.3 KiB
장충동
374 
소공동
315 
회현동
219 
충무로45동
141 
명동
139 
Other values (14)
1015 

Length

Max length7
Median length3
Mean length3.6786201
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row장충동
2nd row중림동
3rd row중림동
4th row장충동
5th row신당3동

Common Values

ValueCountFrequency (%)
장충동 374
17.0%
소공동 315
14.3%
회현동 219
9.9%
충무로45동 141
 
6.4%
명동 139
 
6.3%
태평로1가동 139
 
6.3%
신당1동 124
 
5.6%
광희동 115
 
5.2%
중림동 115
 
5.2%
필동 95
 
4.3%
Other values (9) 427
19.4%

Length

2023-12-11T17:58:55.048548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
장충동 374
17.0%
소공동 315
14.3%
회현동 219
9.9%
충무로45동 141
 
6.4%
명동 139
 
6.3%
태평로1가동 139
 
6.3%
신당1동 124
 
5.6%
광희동 115
 
5.2%
중림동 115
 
5.2%
필동 95
 
4.3%
Other values (9) 427
19.4%

순번
Real number (ℝ)

Distinct374
Distinct (%)17.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean96.027236
Minimum1
Maximum374
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size19.5 KiB
2023-12-11T17:58:55.223771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6
Q132
median69
Q3130
95-th percentile289.9
Maximum374
Range373
Interquartile range (IQR)98

Descriptive statistics

Standard deviation86.340039
Coefficient of variation (CV)0.89912032
Kurtosis0.85508032
Mean96.027236
Median Absolute Deviation (MAD)44
Skewness1.2566669
Sum211548
Variance7454.6023
MonotonicityNot monotonic
2023-12-11T17:58:55.422593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 19
 
0.9%
6 19
 
0.9%
5 19
 
0.9%
8 19
 
0.9%
7 19
 
0.9%
4 19
 
0.9%
11 19
 
0.9%
3 19
 
0.9%
2 19
 
0.9%
10 19
 
0.9%
Other values (364) 2013
91.4%
ValueCountFrequency (%)
1 19
0.9%
2 19
0.9%
3 19
0.9%
4 19
0.9%
5 19
0.9%
6 19
0.9%
7 19
0.9%
8 19
0.9%
9 19
0.9%
10 19
0.9%
ValueCountFrequency (%)
374 1
< 0.1%
373 1
< 0.1%
372 1
< 0.1%
371 1
< 0.1%
370 1
< 0.1%
369 1
< 0.1%
368 1
< 0.1%
367 1
< 0.1%
366 1
< 0.1%
365 1
< 0.1%

수목명
Categorical

Distinct50
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size17.3 KiB
은행나무
544 
느티나무
457 
아카시아나무
238 
양버즘나무
185 
소나무
136 
Other values (45)
643 

Length

Max length7
Median length4
Mean length4.1861099
Min length2

Unique

Unique11 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
은행나무 544
24.7%
느티나무 457
20.7%
아카시아나무 238
10.8%
양버즘나무 185
 
8.4%
소나무 136
 
6.2%
향나무 89
 
4.0%
회화나무 77
 
3.5%
측백나무 52
 
2.4%
단풍나무 50
 
2.3%
백합나무 47
 
2.1%
Other values (40) 328
14.9%

Length

2023-12-11T17:58:55.635807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
은행나무 544
24.7%
느티나무 457
20.7%
아카시아나무 238
10.8%
양버즘나무 185
 
8.4%
소나무 136
 
6.2%
향나무 89
 
4.0%
회화나무 77
 
3.5%
측백나무 52
 
2.4%
단풍나무 50
 
2.3%
백합나무 47
 
2.1%
Other values (40) 328
14.9%

흉고지름
Real number (ℝ)

ZEROS 

Distinct61
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.118475
Minimum0
Maximum95
Zeros29
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size19.5 KiB
2023-12-11T17:58:55.838673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile20
Q123
median27
Q335
95-th percentile52
Maximum95
Range95
Interquartile range (IQR)12

Descriptive statistics

Standard deviation11.238074
Coefficient of variation (CV)0.37312893
Kurtosis4.0935445
Mean30.118475
Median Absolute Deviation (MAD)5
Skewness1.4593898
Sum66351
Variance126.29431
MonotonicityNot monotonic
2023-12-11T17:58:56.032182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 249
 
11.3%
25 212
 
9.6%
30 175
 
7.9%
22 146
 
6.6%
23 127
 
5.8%
21 114
 
5.2%
27 102
 
4.6%
32 99
 
4.5%
35 93
 
4.2%
40 74
 
3.4%
Other values (51) 812
36.9%
ValueCountFrequency (%)
0 29
 
1.3%
20 249
11.3%
21 114
5.2%
22 146
6.6%
23 127
5.8%
24 67
 
3.0%
25 212
9.6%
26 71
 
3.2%
27 102
4.6%
28 64
 
2.9%
ValueCountFrequency (%)
95 1
 
< 0.1%
88 1
 
< 0.1%
83 2
 
0.1%
81 1
 
< 0.1%
80 4
0.2%
79 1
 
< 0.1%
78 1
 
< 0.1%
77 1
 
< 0.1%
75 5
0.2%
72 1
 
< 0.1%

수고
Real number (ℝ)

ZEROS 

Distinct48
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.499319
Minimum0
Maximum62
Zeros29
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size19.5 KiB
2023-12-11T17:58:56.255379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q17
median12
Q320
95-th percentile30
Maximum62
Range62
Interquartile range (IQR)13

Descriptive statistics

Standard deviation9.0775934
Coefficient of variation (CV)0.62607032
Kurtosis0.099718466
Mean14.499319
Median Absolute Deviation (MAD)6
Skewness0.76885569
Sum31942
Variance82.402702
MonotonicityNot monotonic
2023-12-11T17:58:56.467755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
7 235
 
10.7%
8 194
 
8.8%
6 147
 
6.7%
20 107
 
4.9%
9 105
 
4.8%
5 97
 
4.4%
4 94
 
4.3%
25 92
 
4.2%
18 91
 
4.1%
10 85
 
3.9%
Other values (38) 956
43.4%
ValueCountFrequency (%)
0 29
 
1.3%
2 9
 
0.4%
3 39
 
1.8%
4 94
 
4.3%
5 97
4.4%
6 147
6.7%
7 235
10.7%
8 194
8.8%
9 105
4.8%
10 85
 
3.9%
ValueCountFrequency (%)
62 1
 
< 0.1%
55 1
 
< 0.1%
50 2
0.1%
49 1
 
< 0.1%
48 1
 
< 0.1%
45 1
 
< 0.1%
43 1
 
< 0.1%
42 1
 
< 0.1%
40 4
0.2%
39 4
0.2%

수관너비
Real number (ℝ)

ZEROS 

Distinct25
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.6273264
Minimum0
Maximum37
Zeros31
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size19.5 KiB
2023-12-11T17:58:56.659073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q14
median6
Q38
95-th percentile13
Maximum37
Range37
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.5747522
Coefficient of variation (CV)0.53939583
Kurtosis5.3754703
Mean6.6273264
Median Absolute Deviation (MAD)2
Skewness1.4682874
Sum14600
Variance12.778853
MonotonicityNot monotonic
2023-12-11T17:58:56.869606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
6 388
17.6%
5 289
13.1%
7 232
10.5%
8 229
10.4%
4 215
9.8%
3 173
7.9%
10 163
7.4%
2 128
 
5.8%
9 96
 
4.4%
12 62
 
2.8%
Other values (15) 228
10.3%
ValueCountFrequency (%)
0 31
 
1.4%
1 32
 
1.5%
2 128
 
5.8%
3 173
7.9%
4 215
9.8%
5 289
13.1%
6 388
17.6%
7 232
10.5%
8 229
10.4%
9 96
 
4.4%
ValueCountFrequency (%)
37 1
 
< 0.1%
30 2
 
0.1%
25 1
 
< 0.1%
22 2
 
0.1%
20 10
 
0.5%
19 4
 
0.2%
18 9
 
0.4%
17 13
0.6%
16 11
 
0.5%
15 30
1.4%

위치
Text

MISSING 

Distinct208
Distinct (%)10.5%
Missing228
Missing (%)10.3%
Memory size17.3 KiB
2023-12-11T17:58:57.195054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length12
Mean length5.08
Min length2

Characters and Unicode

Total characters10033
Distinct characters198
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique64 ?
Unique (%)3.2%

Sample

1st row카톨릭중림동성당
2nd row봉래초등학교
3rd row동국대학교
4th row남산타원
5th row333-31
ValueCountFrequency (%)
동국대학교 165
 
8.0%
연세빌딩 80
 
3.9%
손기정공원 63
 
3.0%
이화여고 58
 
2.8%
롯데호텔 56
 
2.7%
숭의여대별관 53
 
2.6%
창덕여중 51
 
2.5%
덕수궁 46
 
2.2%
덕수중학교 40
 
1.9%
장충공원 39
 
1.9%
Other values (210) 1419
68.6%
2023-12-11T17:58:57.723621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 481
 
4.8%
동 389
 
3.9%
국 334
 
3.3%
대 332
 
3.3%
학 311
 
3.1%
중 245
 
2.4%
공 228
 
2.3%
여 219
 
2.2%
원 209
 
2.1%
장 190
 
1.9%
Other values (188) 7095
70.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9195
91.6%
Decimal Number 612
 
6.1%
Dash Punctuation 107
 
1.1%
Space Separator 95
 
0.9%
Other Symbol 24
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 481
 
5.2%
동 389
 
4.2%
국 334
 
3.6%
대 332
 
3.6%
학 311
 
3.4%
중 245
 
2.7%
공 228
 
2.5%
여 219
 
2.4%
원 209
 
2.3%
장 190
 
2.1%
Other values (175) 6257
68.0%
Decimal Number
ValueCountFrequency (%)
3 146
23.9%
2 116
19.0%
1 82
13.4%
4 63
10.3%
5 52
 
8.5%
7 47
 
7.7%
0 32
 
5.2%
6 28
 
4.6%
8 25
 
4.1%
9 21
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 107
100.0%
Space Separator
ValueCountFrequency (%)
95
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9219
91.9%
Common 814
 
8.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 481
 
5.2%
동 389
 
4.2%
국 334
 
3.6%
대 332
 
3.6%
학 311
 
3.4%
중 245
 
2.7%
공 228
 
2.5%
여 219
 
2.4%
원 209
 
2.3%
장 190
 
2.1%
Other values (176) 6281
68.1%
Common
ValueCountFrequency (%)
3 146
17.9%
2 116
14.3%
- 107
13.1%
95
11.7%
1 82
10.1%
4 63
7.7%
5 52
 
6.4%
7 47
 
5.8%
0 32
 
3.9%
6 28
 
3.4%
Other values (2) 46
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9195
91.6%
ASCII 814
 
8.1%
None 24
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 481
 
5.2%
동 389
 
4.2%
국 334
 
3.6%
대 332
 
3.6%
학 311
 
3.4%
중 245
 
2.7%
공 228
 
2.5%
여 219
 
2.4%
원 209
 
2.3%
장 190
 
2.1%
Other values (175) 6257
68.0%
ASCII
ValueCountFrequency (%)
3 146
17.9%
2 116
14.3%
- 107
13.1%
95
11.7%
1 82
10.1%
4 63
7.7%
5 52
 
6.4%
7 47
 
5.8%
0 32
 
3.9%
6 28
 
3.4%
Other values (2) 46
 
5.7%
None
ValueCountFrequency (%)
㈜ 24
100.0%

주변토지사용상태
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47.621425
Minimum0
Maximum70
Zeros29
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size19.5 KiB
2023-12-11T17:58:57.877566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10
Q130
median60
Q360
95-th percentile60
Maximum70
Range70
Interquartile range (IQR)30

Descriptive statistics

Standard deviation17.631513
Coefficient of variation (CV)0.37024328
Kurtosis-0.25835935
Mean47.621425
Median Absolute Deviation (MAD)0
Skewness-0.99230743
Sum104910
Variance310.87024
MonotonicityNot monotonic
2023-12-11T17:58:58.016113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
60 1145
52.0%
30 432
 
19.6%
50 288
 
13.1%
10 153
 
6.9%
70 80
 
3.6%
20 66
 
3.0%
0 29
 
1.3%
40 10
 
0.5%
ValueCountFrequency (%)
0 29
 
1.3%
10 153
 
6.9%
20 66
 
3.0%
30 432
 
19.6%
40 10
 
0.5%
50 288
 
13.1%
60 1145
52.0%
70 80
 
3.6%
ValueCountFrequency (%)
70 80
 
3.6%
60 1145
52.0%
50 288
 
13.1%
40 10
 
0.5%
30 432
 
19.6%
20 66
 
3.0%
10 153
 
6.9%
0 29
 
1.3%

품계흉고
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size17.3 KiB
5
1913 
10
 
171
15
 
119

Length

Max length2
Median length1
Mean length1.1316387
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row10
2nd row10
3rd row5
4th row5
5th row5

Common Values

ValueCountFrequency (%)
5 1913
86.8%
10 171
 
7.8%
15 119
 
5.4%

Length

2023-12-11T17:58:58.177703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T17:58:58.309436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5 1913
86.8%
10 171
 
7.8%
15 119
 
5.4%

품계활력
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size17.3 KiB
10
2203 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row10
2nd row10
3rd row10
4th row10
5th row10

Common Values

ValueCountFrequency (%)
10 2203
100.0%

Length

2023-12-11T17:58:58.461254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T17:58:58.584147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10 2203
100.0%

품계수형
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size17.3 KiB
6
2203 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row6
2nd row6
3rd row6
4th row6
5th row6

Common Values

ValueCountFrequency (%)
6 2203
100.0%

Length

2023-12-11T17:58:58.715765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T17:58:58.871938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
6 2203
100.0%

품계수종
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size17.3 KiB
6
1388 
4
589 
2
226 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row6
2nd row6
3rd row6
4th row2
5th row4

Common Values

ValueCountFrequency (%)
6 1388
63.0%
4 589
26.7%
2 226
 
10.3%

Length

2023-12-11T17:58:59.013880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T17:58:59.166167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
6 1388
63.0%
4 589
26.7%
2 226
 
10.3%

품계위치
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size17.3 KiB
9
1926 
6
277 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row9
2nd row9
3rd row9
4th row9
5th row9

Common Values

ValueCountFrequency (%)
9 1926
87.4%
6 277
 
12.6%

Length

2023-12-11T17:58:59.344224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T17:58:59.458899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
9 1926
87.4%
6 277
 
12.6%

관리등급
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size17.3 KiB
3
1954 
2
204 
4
 
45

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
3 1954
88.7%
2 204
 
9.3%
4 45
 
2.0%

Length

2023-12-11T17:58:59.591398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T17:58:59.750634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 1954
88.7%
2 204
 
9.3%
4 45
 
2.0%

피해상태
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size17.3 KiB
1
2134 
2
 
69

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 2134
96.9%
2 69
 
3.1%

Length

2023-12-11T17:58:59.889230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T17:59:00.004210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 2134
96.9%
2 69
 
3.1%

학명
Categorical

Distinct45
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size17.3 KiB
Ginkgo biloba L.
544 
Zelkova serrata Makino
457 
Robinia pseudacacia L.
238 
Platanus occidentalis L.
185 
Pinus densiflora S et Z.
136 
Other values (40)
643 

Length

Max length40
Median length29
Mean length20.630958
Min length4

Unique

Unique7 ?
Unique (%)0.3%

Sample

1st rowZelkova serrata Makino
2nd rowZelkova serrata Makino
3rd rowGinkgo biloba L.
4th rowPlatanus occidentalis L.
5th rowJuniperus chinensis L.

Common Values

ValueCountFrequency (%)
Ginkgo biloba L. 544
24.7%
Zelkova serrata Makino 457
20.7%
Robinia pseudacacia L. 238
10.8%
Platanus occidentalis L. 185
 
8.4%
Pinus densiflora S et Z. 136
 
6.2%
Juniperus chinensis L. 89
 
4.0%
Sophora japonica L. 77
 
3.5%
Thuja orientalis L. 52
 
2.4%
Acer palmatum Thunb. 50
 
2.3%
Liriodendron tulipifera L. 46
 
2.1%
Other values (35) 329
14.9%

Length

2023-12-11T17:59:00.166012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
l 1237
18.0%
ginkgo 544
 
7.9%
biloba 544
 
7.9%
zelkova 457
 
6.7%
makino 457
 
6.7%
serrata 457
 
6.7%
robinia 238
 
3.5%
pseudacacia 238
 
3.5%
platanus 185
 
2.7%
occidentalis 185
 
2.7%
Other values (100) 2330
33.9%

식생활력
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size17.3 KiB
2
2123 
0
 
80

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
2 2123
96.4%
0 80
 
3.6%

Length

2023-12-11T17:59:00.318553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T17:59:00.434922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 2123
96.4%
0 80
 
3.6%

품계등급
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.286428
Minimum0
Maximum46
Zeros80
Zeros (%)3.6%
Negative0
Negative (%)0.0%
Memory size19.5 KiB
2023-12-11T17:59:00.580769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile29
Q134
median36
Q336
95-th percentile42
Maximum46
Range46
Interquartile range (IQR)2

Descriptive statistics

Standard deviation7.3175744
Coefficient of variation (CV)0.21342481
Kurtosis14.842565
Mean34.286428
Median Absolute Deviation (MAD)2
Skewness-3.5466741
Sum75533
Variance53.546896
MonotonicityNot monotonic
2023-12-11T17:59:00.735723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
36 1018
46.2%
34 470
21.3%
33 134
 
6.1%
32 130
 
5.9%
41 88
 
4.0%
0 80
 
3.6%
46 64
 
2.9%
31 63
 
2.9%
29 45
 
2.0%
39 33
 
1.5%
Other values (5) 78
 
3.5%
ValueCountFrequency (%)
0 80
 
3.6%
29 45
 
2.0%
31 63
 
2.9%
32 130
 
5.9%
33 134
 
6.1%
34 470
21.3%
36 1018
46.2%
37 10
 
0.5%
38 17
 
0.8%
39 33
 
1.5%
ValueCountFrequency (%)
46 64
 
2.9%
44 29
 
1.3%
43 10
 
0.5%
42 12
 
0.5%
41 88
 
4.0%
39 33
 
1.5%
38 17
 
0.8%
37 10
 
0.5%
36 1018
46.2%
34 470
21.3%

관리기관
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size17.3 KiB
공원녹지과
2203 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공원녹지과 2203
100.0%

Length

2023-12-11T17:59:00.880341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T17:59:00.977720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공원녹지과 2203
100.0%

X 좌표
Real number (ℝ)

Distinct2201
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean199309.07
Minimum196649.8
Maximum202116.16
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size19.5 KiB
2023-12-11T17:59:01.142487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum196649.8
5-th percentile197160.47
Q1197929.34
median199617.48
Q3200447.09
95-th percentile201581.06
Maximum202116.16
Range5466.355
Interquartile range (IQR)2517.747

Descriptive statistics

Standard deviation1460.0346
Coefficient of variation (CV)0.0073254798
Kurtosis-1.2111103
Mean199309.07
Median Absolute Deviation (MAD)1229.994
Skewness-0.036596292
Sum4.3907788 × 108
Variance2131700.9
MonotonicityNot monotonic
2023-12-11T17:59:01.703986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
201613.908 2
 
0.1%
201395.336 2
 
0.1%
199666.667 1
 
< 0.1%
201025.4 1
 
< 0.1%
198473.527 1
 
< 0.1%
198492.84 1
 
< 0.1%
198523.047 1
 
< 0.1%
198777.55 1
 
< 0.1%
197696.205 1
 
< 0.1%
201106.693 1
 
< 0.1%
Other values (2191) 2191
99.5%
ValueCountFrequency (%)
196649.801 1
< 0.1%
196659.053 1
< 0.1%
196692.769 1
< 0.1%
196721.68 1
< 0.1%
196729.008 1
< 0.1%
196735.176 1
< 0.1%
196757.742 1
< 0.1%
196774.348 1
< 0.1%
196775.308 1
< 0.1%
196775.566 1
< 0.1%
ValueCountFrequency (%)
202116.156 1
< 0.1%
202111.899 1
< 0.1%
202109.584 1
< 0.1%
202108.041 1
< 0.1%
202106.497 1
< 0.1%
202104.568 1
< 0.1%
202103.411 1
< 0.1%
202101.094 1
< 0.1%
202098.004 1
< 0.1%
202092.981 1
< 0.1%

Y 좌표
Real number (ℝ)

UNIQUE 

Distinct2203
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean199309.07
Minimum196649.8
Maximum202116.16
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size19.5 KiB
2023-12-11T17:59:01.918078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum196649.8
5-th percentile197160.47
Q1197929.34
median199617.48
Q3200447.09
95-th percentile201581.06
Maximum202116.16
Range5466.3548
Interquartile range (IQR)2517.747

Descriptive statistics

Standard deviation1460.0346
Coefficient of variation (CV)0.0073254798
Kurtosis-1.2111103
Mean199309.07
Median Absolute Deviation (MAD)1229.9936
Skewness-0.036596292
Sum4.3907788 × 108
Variance2131700.9
MonotonicityNot monotonic
2023-12-11T17:59:02.078670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
199666.6671 1
 
< 0.1%
201025.4004 1
 
< 0.1%
200461.9279 1
 
< 0.1%
198473.5273 1
 
< 0.1%
198492.8395 1
 
< 0.1%
198523.047 1
 
< 0.1%
198777.5499 1
 
< 0.1%
197696.2053 1
 
< 0.1%
201106.6933 1
 
< 0.1%
199898.0673 1
 
< 0.1%
Other values (2193) 2193
99.5%
ValueCountFrequency (%)
196649.8014 1
< 0.1%
196659.0534 1
< 0.1%
196692.7691 1
< 0.1%
196721.68 1
< 0.1%
196729.008 1
< 0.1%
196735.1756 1
< 0.1%
196757.7424 1
< 0.1%
196774.3482 1
< 0.1%
196775.308 1
< 0.1%
196775.5655 1
< 0.1%
ValueCountFrequency (%)
202116.1562 1
< 0.1%
202111.8985 1
< 0.1%
202109.5842 1
< 0.1%
202108.0407 1
< 0.1%
202106.4972 1
< 0.1%
202104.5676 1
< 0.1%
202103.4105 1
< 0.1%
202101.0936 1
< 0.1%
202098.0043 1
< 0.1%
202092.9812 1
< 0.1%

Sample

고유번호구명수목고유번호구번호동명순번수목명흉고지름수고수관너비위치주변토지사용상태품계흉고품계활력품계수형품계수종품계위치관리등급피해상태학명식생활력품계등급관리기관X 좌표Y 좌표
020001264중구2-장충동-큰-01082장충동108느티나무483210<NA>60101066921Zelkova serrata Makino241공원녹지과199666.667199666.6671
120001265중구2-중림동-큰-00162중림동16느티나무483013카톨릭중림동성당60101066921Zelkova serrata Makino241공원녹지과197080.817197080.8171
220001266중구2-중림동-큰-01092중림동109은행나무22267봉래초등학교6051066931Ginkgo biloba L.236공원녹지과196735.176196735.1756
320001267중구2-장충동-큰-00712장충동71양버즘나무20104동국대학교6051062931Platanus occidentalis L.232공원녹지과200054.73200054.7302
420001269중구2-신당3동-큰-00252신당3동25향나무2141남산타원2051064931Juniperus chinensis L.234공원녹지과201033.856201033.856
520001270중구2-신당4동-큰-00502신당4동50단풍나무2653333-311051064931Acer palmatum Thunb.234공원녹지과201308.59201308.5899
620001271중구2-회현동-큰-02012회현동201은행나무2176연세빌딩7051066932Ginkgo biloba L.00공원녹지과197664.731197664.7312
720001272중구2-신당1동-큰-01192신당1동119은행나무2985장충초교6051066931Ginkgo biloba L.236공원녹지과201009.063201009.0631
820001273중구2-신당1동-큰-00402신당1동40느릅나무3886성동기계공고6051064931Ulmus davidiana var234공원녹지과201496.374201496.3745
920001274중구2-중림동-큰-00012중림동1느티나무251618<NA>6051066931Zelkova serrata Makino236공원녹지과196851.108196851.1077
고유번호구명수목고유번호구번호동명순번수목명흉고지름수고수관너비위치주변토지사용상태품계흉고품계활력품계수형품계수종품계위치관리등급피해상태학명식생활력품계등급관리기관X 좌표Y 좌표
219320000257중구2-신당6동-큰-00582신당6동58느티나무2244현대아파트2051066931Zelkova serrata Makino236공원녹지과201920.379201920.3791
219420000266중구2-장충동-큰-00752장충동75양버즘나무26166동국대학교6051062931Platanus occidentalis L.232공원녹지과200049.717200049.7166
219520000274중구2-장충동-큰-03582장충동358소나무2343타워호텔3051066931Pinus densiflora S et Z.236공원녹지과200170.237200170.2373
219620000282중구2-회현동-큰-01582회현동158은행나무2076연세빌딩7051066932Ginkgo biloba L.00공원녹지과197707.256197707.2556
219720000295중구2-회현동-큰-00742회현동74양버즘나무37209<NA>5051062641Platanus occidentalis L.229공원녹지과198104.96198104.9603
219820000303중구2-회현동-큰-01052회현동105느티나무29178<NA>5051066631Zelkova serrata Makino233공원녹지과197988.259197988.2594
219920000311중구2-명동-큰-00612명동61느티나무25257한국은행부지3051066931Zelkova serrata Makino236공원녹지과198785.879198785.8786
220020000009중구2-회현동-큰-01502회현동150백합나무3688연세빌딩70101062931Liriodendron tulipifera L.00공원녹지과197718.036197718.0358
220120000017중구2-신당4동-큰-00442신당4동44향나무2484349-2441051064931Juniperus chinensis L.234공원녹지과201131.627201131.6272
220220000025중구2-장충동-큰-03292장충동329은행나무3084국립극장6051066931Ginkgo biloba L.236공원녹지과199929.214199929.2138