Overview

Dataset statistics

Number of variables24
Number of observations1034
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory203.1 KiB
Average record size in memory201.1 B

Variable types

Numeric4
Categorical18
Text2

Dataset

Description객체id,조사지점,분류군,종명,과명,개체수,올챙이수,난괴수,난괴크기,서울시보호,멸종위기1,멸종위기2,천연기념물,고유종,서식지면적,바닥구조,사면구조,수심_cm,자치구명,조사지역,조사연도,조사출처,x_value,y_value
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-21152/S/1/datasetView.do

Alerts

난괴크기 has constant value ""Constant
멸종위기1 has constant value ""Constant
천연기념물 has constant value ""Constant
개체수 is highly imbalanced (90.7%)Imbalance
올챙이수 is highly imbalanced (85.1%)Imbalance
난괴수 is highly imbalanced (87.0%)Imbalance
멸종위기2 is highly imbalanced (72.9%)Imbalance
고유종 is highly imbalanced (57.7%)Imbalance
바닥구조 is highly imbalanced (68.7%)Imbalance
사면구조 is highly imbalanced (69.3%)Imbalance
수심_cm is highly imbalanced (67.6%)Imbalance
객체id has unique valuesUnique

Reproduction

Analysis started2024-05-11 00:08:54.990690
Analysis finished2024-05-11 00:08:55.621609
Duration0.63 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

객체id
Real number (ℝ)

UNIQUE 

Distinct1034
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44662.715
Minimum43909
Maximum45182
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.2 KiB
2024-05-11T00:08:55.832469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum43909
5-th percentile44200.65
Q144407.25
median44665.5
Q344923.75
95-th percentile45130.35
Maximum45182
Range1273
Interquartile range (IQR)516.5

Descriptive statistics

Standard deviation304.45556
Coefficient of variation (CV)0.0068167723
Kurtosis-0.99841828
Mean44662.715
Median Absolute Deviation (MAD)258.5
Skewness-0.092163253
Sum46181247
Variance92693.186
MonotonicityStrictly increasing
2024-05-11T00:08:56.372003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
43909 1
 
0.1%
44860 1
 
0.1%
44830 1
 
0.1%
44831 1
 
0.1%
44832 1
 
0.1%
44833 1
 
0.1%
44834 1
 
0.1%
44835 1
 
0.1%
44836 1
 
0.1%
44837 1
 
0.1%
Other values (1024) 1024
99.0%
ValueCountFrequency (%)
43909 1
0.1%
43910 1
0.1%
43911 1
0.1%
43912 1
0.1%
43913 1
0.1%
43914 1
0.1%
43915 1
0.1%
43916 1
0.1%
43917 1
0.1%
43918 1
0.1%
ValueCountFrequency (%)
45182 1
0.1%
45181 1
0.1%
45180 1
0.1%
45179 1
0.1%
45178 1
0.1%
45177 1
0.1%
45176 1
0.1%
45175 1
0.1%
45174 1
0.1%
45173 1
0.1%

조사지점
Real number (ℝ)

Distinct143
Distinct (%)13.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean63.205996
Minimum1
Maximum143
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.2 KiB
2024-05-11T00:08:56.944003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile15
Q128.25
median52
Q395
95-th percentile130.35
Maximum143
Range142
Interquartile range (IQR)66.75

Descriptive statistics

Standard deviation40.155881
Coefficient of variation (CV)0.63531759
Kurtosis-1.1512006
Mean63.205996
Median Absolute Deviation (MAD)32
Skewness0.44517449
Sum65355
Variance1612.4948
MonotonicityNot monotonic
2024-05-11T00:08:57.479694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 112
 
10.8%
40 64
 
6.2%
76 39
 
3.8%
123 36
 
3.5%
45 26
 
2.5%
95 24
 
2.3%
53 24
 
2.3%
33 24
 
2.3%
23 22
 
2.1%
55 22
 
2.1%
Other values (133) 641
62.0%
ValueCountFrequency (%)
1 2
 
0.2%
2 3
 
0.3%
3 3
 
0.3%
4 1
 
0.1%
5 12
1.2%
6 9
0.9%
7 2
 
0.2%
8 4
 
0.4%
9 4
 
0.4%
10 3
 
0.3%
ValueCountFrequency (%)
143 4
 
0.4%
142 1
 
0.1%
141 1
 
0.1%
140 1
 
0.1%
139 1
 
0.1%
138 10
1.0%
137 3
 
0.3%
136 2
 
0.2%
135 4
 
0.4%
134 5
0.5%

분류군
Categorical

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size8.2 KiB
양서류
695 
파충류
320 
파충강
 
10
양서강
 
9

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
양서류 695
67.2%
파충류 320
30.9%
파충강 10
 
1.0%
양서강 9
 
0.9%

Length

2024-05-11T00:08:57.953960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:08:58.343808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
양서류 695
67.2%
파충류 320
30.9%
파충강 10
 
1.0%
양서강 9
 
0.9%

종명
Categorical

Distinct30
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size8.2 KiB
북방산개구리
109 
한국산개구리
89 
청개구리
84 
계곡산개구리
78 
참개구리
75 
Other values (25)
599 

Length

Max length7
Median length6
Mean length4.4410058
Min length2

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st row황소개구리
2nd row계곡산개구리
3rd row도롱뇽
4th row무당개구리
5th row북방산개구리

Common Values

ValueCountFrequency (%)
북방산개구리 109
 
10.5%
한국산개구리 89
 
8.6%
청개구리 84
 
8.1%
계곡산개구리 78
 
7.5%
참개구리 75
 
7.3%
도롱뇽 72
 
7.0%
붉은귀거북 65
 
6.3%
유혈목이 49
 
4.7%
옴개구리 46
 
4.4%
누룩뱀 46
 
4.4%
Other values (20) 321
31.0%

Length

2024-05-11T00:08:58.905191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
북방산개구리 109
 
10.5%
한국산개구리 89
 
8.6%
청개구리 84
 
8.1%
계곡산개구리 78
 
7.5%
참개구리 75
 
7.3%
도롱뇽 72
 
7.0%
붉은귀거북 65
 
6.3%
유혈목이 49
 
4.7%
옴개구리 46
 
4.4%
누룩뱀 46
 
4.4%
Other values (20) 321
31.0%

과명
Categorical

Distinct13
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size8.2 KiB
개구리과
413 
뱀과
114 
도롱뇽과
89 
청개구리과
84 
장지뱀과
67 
Other values (8)
267 

Length

Max length6
Median length4
Mean length3.8878143
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row개구리과
2nd row개구리과
3rd row도롱뇽과
4th row무당개구리과
5th row개구리과

Common Values

ValueCountFrequency (%)
개구리과 413
39.9%
뱀과 114
 
11.0%
도롱뇽과 89
 
8.6%
청개구리과 84
 
8.1%
장지뱀과 67
 
6.5%
늪거북과 66
 
6.4%
살모사과 47
 
4.5%
맹꽁이과 45
 
4.4%
두꺼비과 45
 
4.4%
무당개구리과 28
 
2.7%
Other values (3) 36
 
3.5%

Length

2024-05-11T00:08:59.306791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
개구리과 413
39.9%
뱀과 114
 
11.0%
도롱뇽과 89
 
8.6%
청개구리과 84
 
8.1%
장지뱀과 67
 
6.5%
늪거북과 66
 
6.4%
살모사과 47
 
4.5%
맹꽁이과 45
 
4.4%
두꺼비과 45
 
4.4%
무당개구리과 28
 
2.7%
Other values (3) 36
 
3.5%

개체수
Categorical

IMBALANCE 

Distinct28
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size8.2 KiB
989 
1
 
8
2
 
5
5
 
3
100
 
2
Other values (23)
 
27

Length

Max length11
Median length1
Mean length1.1005803
Min length1

Unique

Unique19 ?
Unique (%)1.8%

Sample

1st row1
2nd row계곡산개구리알2
3rd row도롱뇽알8
4th row6
5th row

Common Values

ValueCountFrequency (%)
989
95.6%
1 8
 
0.8%
2 5
 
0.5%
5 3
 
0.3%
100 2
 
0.2%
울음소리 2
 
0.2%
20 2
 
0.2%
10 2
 
0.2%
6 2
 
0.2%
계곡산개구리(성체)2 1
 
0.1%
Other values (18) 18
 
1.7%

Length

2024-05-11T00:08:59.782326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
1 8
17.0%
2 5
 
10.6%
5 3
 
6.4%
100 2
 
4.3%
울음소리 2
 
4.3%
20 2
 
4.3%
10 2
 
4.3%
6 2
 
4.3%
3 1
 
2.1%
유생다수 1
 
2.1%
Other values (19) 19
40.4%

올챙이수
Categorical

IMBALANCE 

Distinct31
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size8.2 KiB
950 
다수
 
16
1
 
12
2
 
9
3
 
5
Other values (26)
 
42

Length

Max length29
Median length1
Mean length1.2582205
Min length1

Unique

Unique21 ?
Unique (%)2.0%

Sample

1st row
2nd row올챙이다수
3rd row
4th row
5th row

Common Values

ValueCountFrequency (%)
950
91.9%
다수 16
 
1.5%
1 12
 
1.2%
2 9
 
0.9%
3 5
 
0.5%
5 5
 
0.5%
6 5
 
0.5%
4 5
 
0.5%
올챙이다수 4
 
0.4%
20 2
 
0.2%
Other values (21) 21
 
2.0%

Length

2024-05-11T00:09:00.404883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
다수 16
14.4%
1 12
 
10.8%
2 9
 
8.1%
유생 7
 
6.3%
몸길이 7
 
6.3%
3 5
 
4.5%
5 5
 
4.5%
6 5
 
4.5%
4 5
 
4.5%
몸통 5
 
4.5%
Other values (30) 35
31.5%

난괴수
Categorical

IMBALANCE 

Distinct28
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size8.2 KiB
963 
1
 
22
2
 
8
4
 
6
8
 
5
Other values (23)
 
30

Length

Max length3
Median length1
Mean length1.0241779
Min length1

Unique

Unique18 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
963
93.1%
1 22
 
2.1%
2 8
 
0.8%
4 6
 
0.6%
8 5
 
0.5%
6 3
 
0.3%
24 3
 
0.3%
5 2
 
0.2%
10 2
 
0.2%
9 2
 
0.2%
Other values (18) 18
 
1.7%

Length

2024-05-11T00:09:01.019093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
1 22
31.0%
2 8
 
11.3%
4 6
 
8.5%
8 5
 
7.0%
6 3
 
4.2%
24 3
 
4.2%
10 2
 
2.8%
9 2
 
2.8%
5 2
 
2.8%
3 1
 
1.4%
Other values (17) 17
23.9%

난괴크기
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size8.2 KiB
1034 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1034
100.0%

Length

2024-05-11T00:09:01.604825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:09:01.925973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
No values found.

서울시보호
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.2 KiB
0
809 
1
225 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row1
5th row1

Common Values

ValueCountFrequency (%)
0 809
78.2%
1 225
 
21.8%

Length

2024-05-11T00:09:02.413371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:09:02.849012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 809
78.2%
1 225
 
21.8%

멸종위기1
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size8.2 KiB
0
1034 

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 1034
100.0%

Length

2024-05-11T00:09:03.339107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:09:03.761451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1034
100.0%

멸종위기2
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.2 KiB
0
986 
1
 
48

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 (%)
0 986
95.4%
1 48
 
4.6%

Length

2024-05-11T00:09:04.098370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:09:04.430878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 986
95.4%
1 48
 
4.6%

천연기념물
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size8.2 KiB
0
1034 

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 1034
100.0%

Length

2024-05-11T00:09:04.996581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:09:05.413658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1034
100.0%

고유종
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.2 KiB
0
945 
1
 
89

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 (%)
0 945
91.4%
1 89
 
8.6%

Length

2024-05-11T00:09:05.813072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:09:06.125922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 945
91.4%
1 89
 
8.6%

서식지면적
Text

Distinct137
Distinct (%)13.2%
Missing0
Missing (%)0.0%
Memory size8.2 KiB
2024-05-11T00:09:06.726094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length1
Mean length1.6924565
Min length1

Characters and Unicode

Total characters1750
Distinct characters30
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique91 ?
Unique (%)8.8%

Sample

1st row0.7ⅹ100
2nd row10*1
3rd row10*1
4th row0.6Χ0.6
5th row0.6Χ0.6
ValueCountFrequency (%)
15ⅹ50 13
 
6.0%
1χ40 5
 
2.3%
0.6χ0.6 4
 
1.9%
10ⅹ15 4
 
1.9%
4χ4 4
 
1.9%
30ⅹ10 4
 
1.9%
10*20 4
 
1.9%
7χ3 3
 
1.4%
4χ5 3
 
1.4%
8*4 3
 
1.4%
Other values (128) 169
78.2%
2024-05-11T00:09:08.064454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
824
47.1%
5 136
 
7.8%
0 115
 
6.6%
1 102
 
5.8%
* 75
 
4.3%
2 73
 
4.2%
Χ 71
 
4.1%
4 68
 
3.9%
ⅹ 66
 
3.8%
. 60
 
3.4%
Other values (20) 160
 
9.1%

Most occurring categories

ValueCountFrequency (%)
Space Separator 824
47.1%
Decimal Number 628
35.9%
Other Punctuation 138
 
7.9%
Uppercase Letter 71
 
4.1%
Letter Number 66
 
3.8%
Other Letter 17
 
1.0%
Lowercase Letter 4
 
0.2%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 136
21.7%
0 115
18.3%
1 102
16.2%
2 73
11.6%
4 68
10.8%
3 52
 
8.3%
6 33
 
5.3%
8 25
 
4.0%
7 16
 
2.5%
9 8
 
1.3%
Other Letter
ValueCountFrequency (%)
계 5
29.4%
곡 3
17.6%
수 2
 
11.8%
연 1
 
5.9%
결 1
 
5.9%
도 1
 
5.9%
랑 1
 
5.9%
웅 1
 
5.9%
덩 1
 
5.9%
이 1
 
5.9%
Other Punctuation
ValueCountFrequency (%)
* 75
54.3%
. 60
43.5%
, 3
 
2.2%
Lowercase Letter
ValueCountFrequency (%)
c 2
50.0%
m 2
50.0%
Space Separator
ValueCountFrequency (%)
824
100.0%
Uppercase Letter
ValueCountFrequency (%)
Χ 71
100.0%
Letter Number
ValueCountFrequency (%)
ⅹ 66
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1592
91.0%
Greek 71
 
4.1%
Latin 70
 
4.0%
Hangul 17
 
1.0%

Most frequent character per script

Common
ValueCountFrequency (%)
824
51.8%
5 136
 
8.5%
0 115
 
7.2%
1 102
 
6.4%
* 75
 
4.7%
2 73
 
4.6%
4 68
 
4.3%
. 60
 
3.8%
3 52
 
3.3%
6 33
 
2.1%
Other values (6) 54
 
3.4%
Hangul
ValueCountFrequency (%)
계 5
29.4%
곡 3
17.6%
수 2
 
11.8%
연 1
 
5.9%
결 1
 
5.9%
도 1
 
5.9%
랑 1
 
5.9%
웅 1
 
5.9%
덩 1
 
5.9%
이 1
 
5.9%
Latin
ValueCountFrequency (%)
ⅹ 66
94.3%
c 2
 
2.9%
m 2
 
2.9%
Greek
ValueCountFrequency (%)
Χ 71
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1596
91.2%
None 71
 
4.1%
Number Forms 66
 
3.8%
Hangul 17
 
1.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
824
51.6%
5 136
 
8.5%
0 115
 
7.2%
1 102
 
6.4%
* 75
 
4.7%
2 73
 
4.6%
4 68
 
4.3%
. 60
 
3.8%
3 52
 
3.3%
6 33
 
2.1%
Other values (8) 58
 
3.6%
None
ValueCountFrequency (%)
Χ 71
100.0%
Number Forms
ValueCountFrequency (%)
ⅹ 66
100.0%
Hangul
ValueCountFrequency (%)
계 5
29.4%
곡 3
17.6%
수 2
 
11.8%
연 1
 
5.9%
결 1
 
5.9%
도 1
 
5.9%
랑 1
 
5.9%
웅 1
 
5.9%
덩 1
 
5.9%
이 1
 
5.9%

바닥구조
Categorical

IMBALANCE 

Distinct30
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size8.2 KiB
784 
1
105 
0
 
46
흙
 
30
2
 
9
Other values (25)
 
60

Length

Max length8
Median length1
Mean length1.1499033
Min length1

Unique

Unique10 ?
Unique (%)1.0%

Sample

1st row1
2nd row흙
3rd row흙
4th row2
5th row2

Common Values

ValueCountFrequency (%)
784
75.8%
1 105
 
10.2%
0 46
 
4.4%
흙 30
 
2.9%
2 9
 
0.9%
진흙 8
 
0.8%
silt 6
 
0.6%
흙, 낙엽 4
 
0.4%
4 4
 
0.4%
암반 4
 
0.4%
Other values (20) 34
 
3.3%

Length

2024-05-11T00:09:08.637556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
1 105
38.6%
0 46
16.9%
흙 38
 
14.0%
모래 13
 
4.8%
암반 11
 
4.0%
2 9
 
3.3%
낙엽 9
 
3.3%
진흙 8
 
2.9%
silt 6
 
2.2%
자갈 5
 
1.8%
Other values (12) 22
 
8.1%

사면구조
Categorical

IMBALANCE 

Distinct31
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size8.2 KiB
796 
1
94 
0
 
41
4
 
25
암반
 
10
Other values (26)
 
68

Length

Max length12
Median length1
Mean length1.1808511
Min length1

Unique

Unique13 ?
Unique (%)1.3%

Sample

1st row1
2nd row자연형
3rd row자연형
4th row2
5th row2

Common Values

ValueCountFrequency (%)
796
77.0%
1 94
 
9.1%
0 41
 
4.0%
4 25
 
2.4%
암반 10
 
1.0%
흙 9
 
0.9%
돌쌓기 8
 
0.8%
5 6
 
0.6%
발파석쌓기 5
 
0.5%
2 5
 
0.5%
Other values (21) 35
 
3.4%

Length

2024-05-11T00:09:09.061072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
1 94
38.2%
0 41
16.7%
4 25
 
10.2%
암반 12
 
4.9%
흙 12
 
4.9%
돌쌓기 8
 
3.3%
5 6
 
2.4%
발파석쌓기 5
 
2.0%
2 5
 
2.0%
자연(흙 4
 
1.6%
Other values (21) 34
 
13.8%

수심_cm
Categorical

IMBALANCE 

Distinct36
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size8.2 KiB
805 
20
 
30
10
 
29
30
 
27
15
 
27
Other values (31)
116 

Length

Max length9
Median length1
Mean length1.2147002
Min length1

Unique

Unique11 ?
Unique (%)1.1%

Sample

1st row30
2nd row10
3rd row10
4th row15
5th row15

Common Values

ValueCountFrequency (%)
805
77.9%
20 30
 
2.9%
10 29
 
2.8%
30 27
 
2.6%
15 27
 
2.6%
5 20
 
1.9%
0 18
 
1.7%
25 13
 
1.3%
50 6
 
0.6%
40 6
 
0.6%
Other values (26) 53
 
5.1%

Length

2024-05-11T00:09:09.527749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
20 30
13.1%
10 29
12.7%
30 27
11.8%
15 27
11.8%
5 20
8.7%
0 18
 
7.9%
25 13
 
5.7%
50 6
 
2.6%
40 6
 
2.6%
17 5
 
2.2%
Other values (25) 48
21.0%

자치구명
Categorical

Distinct25
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size8.2 KiB
강북구
129 
강남구
123 
강동구
116 
마포구
115 
종로구
83 
Other values (20)
468 

Length

Max length4
Median length3
Mean length3.0415861
Min length2

Unique

Unique3 ?
Unique (%)0.3%

Sample

1st row송파구
2nd row성북구
3rd row성북구
4th row성북구
5th row성북구

Common Values

ValueCountFrequency (%)
강북구 129
12.5%
강남구 123
11.9%
강동구 116
11.2%
마포구 115
11.1%
종로구 83
 
8.0%
성북구 60
 
5.8%
용산구 43
 
4.2%
송파구 41
 
4.0%
은평구 39
 
3.8%
도봉구 32
 
3.1%
Other values (15) 253
24.5%

Length

2024-05-11T00:09:10.041263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
강북구 129
12.5%
강남구 123
11.9%
강동구 116
11.2%
마포구 115
11.1%
종로구 83
 
8.0%
성북구 60
 
5.8%
용산구 43
 
4.2%
송파구 41
 
4.0%
은평구 39
 
3.8%
도봉구 32
 
3.1%
Other values (15) 253
24.5%

조사지역
Text

Distinct140
Distinct (%)13.5%
Missing0
Missing (%)0.0%
Memory size8.2 KiB
2024-05-11T00:09:10.700875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length13
Mean length6.368472
Min length2

Characters and Unicode

Total characters6585
Distinct characters180
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique36 ?
Unique (%)3.5%

Sample

1st row문정역일대
2nd row북한산국립공원
3rd row북한산국립공원
4th row북악산홍법사주변
5th row북악산홍법사주변
ValueCountFrequency (%)
북한산 116
 
9.7%
월드컵공원 64
 
5.3%
생태경관보전지역 41
 
3.4%
구기계곡 36
 
3.0%
둔촌동생태경관보전지역 32
 
2.7%
합류부 31
 
2.6%
중랑천 26
 
2.2%
효창근린공원 24
 
2.0%
탄천 24
 
2.0%
양재천~탄천 24
 
2.0%
Other values (139) 782
65.2%
2024-05-11T00:09:12.009112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
천 373
 
5.7%
산 337
 
5.1%
류 217
 
3.3%
부 217
 
3.3%
원 217
 
3.3%
합 215
 
3.3%
공 185
 
2.8%
동 180
 
2.7%
북 177
 
2.7%
한 177
 
2.7%
Other values (170) 4290
65.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6122
93.0%
Math Symbol 174
 
2.6%
Space Separator 166
 
2.5%
Decimal Number 107
 
1.6%
Dash Punctuation 16
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
천 373
 
6.1%
산 337
 
5.5%
류 217
 
3.5%
부 217
 
3.5%
원 217
 
3.5%
합 215
 
3.5%
공 185
 
3.0%
동 180
 
2.9%
북 177
 
2.9%
한 177
 
2.9%
Other values (159) 3827
62.5%
Decimal Number
ValueCountFrequency (%)
5 31
29.0%
3 24
22.4%
2 18
16.8%
4 14
13.1%
1 11
 
10.3%
0 6
 
5.6%
8 2
 
1.9%
7 1
 
0.9%
Math Symbol
ValueCountFrequency (%)
~ 174
100.0%
Space Separator
ValueCountFrequency (%)
166
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6122
93.0%
Common 463
 
7.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
천 373
 
6.1%
산 337
 
5.5%
류 217
 
3.5%
부 217
 
3.5%
원 217
 
3.5%
합 215
 
3.5%
공 185
 
3.0%
동 180
 
2.9%
북 177
 
2.9%
한 177
 
2.9%
Other values (159) 3827
62.5%
Common
ValueCountFrequency (%)
~ 174
37.6%
166
35.9%
5 31
 
6.7%
3 24
 
5.2%
2 18
 
3.9%
- 16
 
3.5%
4 14
 
3.0%
1 11
 
2.4%
0 6
 
1.3%
8 2
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6122
93.0%
ASCII 463
 
7.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
천 373
 
6.1%
산 337
 
5.5%
류 217
 
3.5%
부 217
 
3.5%
원 217
 
3.5%
합 215
 
3.5%
공 185
 
3.0%
동 180
 
2.9%
북 177
 
2.9%
한 177
 
2.9%
Other values (159) 3827
62.5%
ASCII
ValueCountFrequency (%)
~ 174
37.6%
166
35.9%
5 31
 
6.7%
3 24
 
5.2%
2 18
 
3.9%
- 16
 
3.5%
4 14
 
3.0%
1 11
 
2.4%
0 6
 
1.3%
8 2
 
0.4%

조사연도
Categorical

Distinct15
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size8.2 KiB
2009
210 
2004
146 
2005
143 
2003
119 
2007
116 
Other values (10)
300 

Length

Max length16
Median length4
Mean length4.0754352
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2009
2nd row2013
3rd row2013
4th row2009
5th row2009

Common Values

ValueCountFrequency (%)
2009 210
20.3%
2004 146
14.1%
2005 143
13.8%
2003 119
11.5%
2007 116
11.2%
2013 82
 
7.9%
2012 81
 
7.8%
2002 55
 
5.3%
2001 32
 
3.1%
2010 17
 
1.6%
Other values (5) 33
 
3.2%

Length

2024-05-11T00:09:12.497414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2009 210
20.1%
2004 151
14.4%
2005 147
14.0%
2003 124
11.8%
2007 120
11.5%
2013 82
 
7.8%
2012 81
 
7.7%
2002 55
 
5.3%
2001 32
 
3.1%
2010 17
 
1.6%
Other values (3) 28
 
2.7%

조사출처
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.2 KiB
문헌조사
799 
현장조사
235 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
문헌조사 799
77.3%
현장조사 235
 
22.7%

Length

2024-05-11T00:09:12.989611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:09:13.371346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
문헌조사 799
77.3%
현장조사 235
 
22.7%

x_value
Real number (ℝ)

Distinct143
Distinct (%)13.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean200240.18
Minimum182711.8
Maximum214239.89
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.2 KiB
2024-05-11T00:09:14.273827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum182711.8
5-th percentile189432
Q1195553.3
median198427.01
Q3206409.8
95-th percentile212615.22
Maximum214239.89
Range31528.087
Interquartile range (IQR)10856.5

Descriptive statistics

Standard deviation7594.885
Coefficient of variation (CV)0.037928876
Kurtosis-0.72024837
Mean200240.18
Median Absolute Deviation (MAD)5744.5886
Skewness0.011480114
Sum2.0704835 × 108
Variance57682278
MonotonicityNot monotonic
2024-05-11T00:09:14.896838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
198427.011386 112
 
10.8%
190107.9 64
 
6.2%
212615.219829 39
 
3.8%
196548.6 36
 
3.5%
206389.4 26
 
2.5%
196586.753 24
 
2.3%
206409.8 24
 
2.3%
208246.3 24
 
2.3%
204171.6 23
 
2.2%
207848.3 22
 
2.1%
Other values (133) 640
61.9%
ValueCountFrequency (%)
182711.8 4
0.4%
182939.529 1
 
0.1%
183215.113 3
0.3%
183541.637392 6
0.6%
183761.999967 1
 
0.1%
183854.462 1
 
0.1%
184424.4 7
0.7%
184537.460279 1
 
0.1%
184591.978 2
 
0.2%
184684.502741 1
 
0.1%
ValueCountFrequency (%)
214239.887095 3
 
0.3%
214034.7 12
 
1.2%
213936.490602 1
 
0.1%
213727.703969 1
 
0.1%
213686.3 9
 
0.9%
213623.576033 9
 
0.9%
213591.3821 1
 
0.1%
213085.8 12
 
1.2%
212615.219829 39
3.8%
212218.193107 2
 
0.2%

y_value
Real number (ℝ)

Distinct144
Distinct (%)13.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean452232.58
Minimum437272.4
Maximum465056.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.2 KiB
2024-05-11T00:09:15.523458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum437272.4
5-th percentile441419.33
Q1446707.5
median451736.8
Q3457518
95-th percentile462895.7
Maximum465056.8
Range27784.4
Interquartile range (IQR)10810.499

Descriptive statistics

Standard deviation6894.888
Coefficient of variation (CV)0.015246332
Kurtosis-0.91759702
Mean452232.58
Median Absolute Deviation (MAD)5696.0575
Skewness-0.043940719
Sum4.6760849 × 108
Variance47539480
MonotonicityNot monotonic
2024-05-11T00:09:16.203897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
461398.037615 112
 
10.8%
451442.6 64
 
6.2%
446707.501386 39
 
3.8%
457499.8 36
 
3.5%
453647.8 26
 
2.5%
443827.0 24
 
2.3%
444405.0 24
 
2.3%
449286.341 24
 
2.3%
462895.7 22
 
2.1%
447892.5 22
 
2.1%
Other values (134) 641
62.0%
ValueCountFrequency (%)
437272.4 2
 
0.2%
437502.685 1
 
0.1%
437564.6 10
1.0%
437852.853 1
 
0.1%
438141.99 2
 
0.2%
438157.704505 2
 
0.2%
438230.262 1
 
0.1%
438291.509926 1
 
0.1%
438325.193 1
 
0.1%
440024.168 2
 
0.2%
ValueCountFrequency (%)
465056.8 3
 
0.3%
464878.9 12
 
1.2%
464830.579 4
 
0.4%
464412.6 12
 
1.2%
463940.6 3
 
0.3%
462895.7 22
 
2.1%
462680.41868 1
 
0.1%
461398.037615 112
10.8%
461380.5 9
 
0.9%
460922.9 2
 
0.2%

Sample

객체id조사지점분류군종명과명개체수올챙이수난괴수난괴크기서울시보호멸종위기1멸종위기2천연기념물고유종서식지면적바닥구조사면구조수심_cm자치구명조사지역조사연도조사출처x_valuey_value
04390990양서류황소개구리개구리과1000000.7ⅹ1001130송파구문정역일대2009현장조사210459.634699442481.424488
14391091양서류계곡산개구리개구리과계곡산개구리알2올챙이다수0000010*1흙자연형10성북구북한산국립공원2013현장조사199532.197736455880.960984
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