Overview

Dataset statistics

Number of variables20
Number of observations445
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory74.9 KiB
Average record size in memory172.3 B

Variable types

Numeric4
Categorical15
Text1

Dataset

Description객체id,종명,학명,과명,서울시보호,멸종위기1,멸종위기2,천연기념물,고유종,유해종,포획금지종,자치구,조사지역,조사연도,조사출처,참고문헌,x_value,y_value,f19,조사시점
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-21166/S/1/datasetView.do

Alerts

천연기념물 has constant value ""Constant
조사출처 has constant value ""Constant
f19 has constant value ""Constant
멸종위기2 is highly overall correlated with 종명High correlation
종명 is highly overall correlated with 과명 and 6 other fieldsHigh correlation
유해종 is highly overall correlated with 종명 and 1 other fieldsHigh correlation
조사시점 is highly overall correlated with 객체id and 6 other fieldsHigh correlation
자치구 is highly overall correlated with 객체id and 6 other fieldsHigh correlation
조사지역 is highly overall correlated with 객체id and 6 other fieldsHigh correlation
과명 is highly overall correlated with 종명 and 4 other fieldsHigh correlation
포획금지종 is highly overall correlated with 종명 and 1 other fieldsHigh correlation
서울시보호 is highly overall correlated with 종명 and 1 other fieldsHigh correlation
고유종 is highly overall correlated with 종명 and 1 other fieldsHigh correlation
멸종위기1 is highly overall correlated with 종명High correlation
객체id is highly overall correlated with 자치구 and 2 other fieldsHigh correlation
조사연도 is highly overall correlated with 자치구 and 3 other fieldsHigh correlation
x_value is highly overall correlated with 자치구 and 3 other fieldsHigh correlation
y_value is highly overall correlated with 자치구 and 3 other fieldsHigh correlation
참고문헌 is highly overall correlated with 조사연도 and 5 other fieldsHigh correlation
멸종위기1 is highly imbalanced (97.7%)Imbalance
멸종위기2 is highly imbalanced (91.1%)Imbalance
고유종 is highly imbalanced (75.6%)Imbalance
객체id has unique valuesUnique

Reproduction

Analysis started2024-05-11 01:51:45.065810
Analysis finished2024-05-11 01:51:56.704433
Duration11.64 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

객체id
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct445
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24854.411
Minimum24443
Maximum25079
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.0 KiB
2024-05-11T01:51:56.923231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum24443
5-th percentile24657.2
Q124746
median24857
Q324968
95-th percentile25056.8
Maximum25079
Range636
Interquartile range (IQR)222

Descriptive statistics

Standard deviation134.7948
Coefficient of variation (CV)0.0054233754
Kurtosis-0.44176046
Mean24854.411
Median Absolute Deviation (MAD)111
Skewness-0.26971351
Sum11060213
Variance18169.639
MonotonicityStrictly increasing
2024-05-11T01:51:57.694691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
24443 1
 
0.2%
24928 1
 
0.2%
24939 1
 
0.2%
24938 1
 
0.2%
24937 1
 
0.2%
24936 1
 
0.2%
24935 1
 
0.2%
24934 1
 
0.2%
24933 1
 
0.2%
24932 1
 
0.2%
Other values (435) 435
97.8%
ValueCountFrequency (%)
24443 1
0.2%
24444 1
0.2%
24445 1
0.2%
24446 1
0.2%
24447 1
0.2%
24448 1
0.2%
24641 1
0.2%
24642 1
0.2%
24643 1
0.2%
24644 1
0.2%
ValueCountFrequency (%)
25079 1
0.2%
25078 1
0.2%
25077 1
0.2%
25076 1
0.2%
25075 1
0.2%
25074 1
0.2%
25073 1
0.2%
25072 1
0.2%
25071 1
0.2%
25070 1
0.2%

종명
Categorical

HIGH CORRELATION 

Distinct29
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
족제비
42 
두더지
40 
다람쥐
40 
고양이
36 
너구리
34 
Other values (24)
253 

Length

Max length8
Median length3
Mean length3.0696629
Min length1

Unique

Unique2 ?
Unique (%)0.4%

Sample

1st row개
2nd row고양이
3rd row너구리
4th row청설모
5th row다람쥐

Common Values

ValueCountFrequency (%)
족제비 42
 
9.4%
두더지 40
 
9.0%
다람쥐 40
 
9.0%
고양이 36
 
8.1%
너구리 34
 
7.6%
청설모 34
 
7.6%
등줄쥐 29
 
6.5%
개 22
 
4.9%
집쥐 20
 
4.5%
흰넓적다리붉은쥐 20
 
4.5%
Other values (19) 128
28.8%

Length

2024-05-11T01:51:58.483188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
족제비 42
 
9.4%
두더지 40
 
9.0%
다람쥐 40
 
9.0%
고양이 36
 
8.1%
너구리 34
 
7.6%
청설모 34
 
7.6%
등줄쥐 29
 
6.5%
개 22
 
4.9%
집쥐 20
 
4.5%
흰넓적다리붉은쥐 20
 
4.5%
Other values (19) 128
28.8%

학명
Text

Distinct155
Distinct (%)34.8%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
2024-05-11T01:51:59.386402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length35
Mean length30.361798
Min length11

Characters and Unicode

Total characters13511
Distinct characters54
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique136 ?
Unique (%)30.6%

Sample

1st rowCanis familiaris
2nd rowFelis catus
3rd rowNyctereutes procyonoides (Gray, 1834)
4th rowSciurus vulgaris (Linnaeus, 1758)
5th rowTamias sibiricus (Laxmannm, 1769)
ValueCountFrequency (%)
pallas 85
 
5.2%
linnaeus 54
 
3.3%
1758 54
 
3.3%
apodemus 49
 
3.0%
1773 45
 
2.8%
mustela 42
 
2.6%
temminck 42
 
2.6%
sibirica 42
 
2.6%
1769 41
 
2.5%
laxmannm 40
 
2.4%
Other values (174) 1142
69.8%
2024-05-11T01:52:01.080602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1575
 
11.7%
s 1070
 
7.9%
a 1006
 
7.4%
i 842
 
6.2%
u 738
 
5.5%
e 697
 
5.2%
r 675
 
5.0%
n 533
 
3.9%
o 460
 
3.4%
1 409
 
3.0%
Other values (44) 5506
40.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8517
63.0%
Space Separator 1575
 
11.7%
Decimal Number 1492
 
11.0%
Uppercase Letter 808
 
6.0%
Close Punctuation 373
 
2.8%
Open Punctuation 373
 
2.8%
Other Punctuation 373
 
2.8%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
s 1070
12.6%
a 1006
11.8%
i 842
9.9%
u 738
8.7%
e 697
8.2%
r 675
 
7.9%
n 533
 
6.3%
o 460
 
5.4%
c 395
 
4.6%
l 391
 
4.6%
Other values (13) 1710
20.1%
Uppercase Letter
ValueCountFrequency (%)
T 120
14.9%
M 112
13.9%
L 105
13.0%
P 92
11.4%
S 81
10.0%
A 49
6.1%
C 39
 
4.8%
F 36
 
4.5%
G 34
 
4.2%
N 34
 
4.2%
Other values (7) 106
13.1%
Decimal Number
ValueCountFrequency (%)
1 409
27.4%
7 322
21.6%
8 234
15.7%
9 140
 
9.4%
5 96
 
6.4%
3 92
 
6.2%
6 67
 
4.5%
4 55
 
3.7%
0 51
 
3.4%
2 26
 
1.7%
Space Separator
ValueCountFrequency (%)
1575
100.0%
Close Punctuation
ValueCountFrequency (%)
) 373
100.0%
Open Punctuation
ValueCountFrequency (%)
( 373
100.0%
Other Punctuation
ValueCountFrequency (%)
, 373
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 9325
69.0%
Common 4186
31.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
s 1070
11.5%
a 1006
 
10.8%
i 842
 
9.0%
u 738
 
7.9%
e 697
 
7.5%
r 675
 
7.2%
n 533
 
5.7%
o 460
 
4.9%
c 395
 
4.2%
l 391
 
4.2%
Other values (30) 2518
27.0%
Common
ValueCountFrequency (%)
1575
37.6%
1 409
 
9.8%
) 373
 
8.9%
( 373
 
8.9%
, 373
 
8.9%
7 322
 
7.7%
8 234
 
5.6%
9 140
 
3.3%
5 96
 
2.3%
3 92
 
2.2%
Other values (4) 199
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13511
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1575
 
11.7%
s 1070
 
7.9%
a 1006
 
7.4%
i 842
 
6.2%
u 738
 
5.5%
e 697
 
5.2%
r 675
 
5.0%
n 533
 
3.9%
o 460
 
3.4%
1 409
 
3.0%
Other values (44) 5506
40.8%

과명
Categorical

HIGH CORRELATION 

Distinct13
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
쥐과
98 
다람쥐과
74 
개과
57 
족제비과
46 
고양이과
41 
Other values (8)
129 

Length

Max length5
Median length4
Mean length3.2494382
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row개과
2nd row고양이과
3rd row개과
4th row다람쥐과
5th row다람쥐과

Common Values

ValueCountFrequency (%)
쥐과 98
22.0%
다람쥐과 74
16.6%
개과 57
12.8%
족제비과 46
10.3%
고양이과 41
9.2%
두더지과 40
9.0%
토끼과 18
 
4.0%
고슴도치과 18
 
4.0%
사슴과 18
 
4.0%
땃쥐과 15
 
3.4%
Other values (3) 20
 
4.5%

Length

2024-05-11T01:52:01.720391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
쥐과 98
22.0%
다람쥐과 74
16.6%
개과 57
12.8%
족제비과 46
10.3%
고양이과 41
9.2%
두더지과 40
9.0%
토끼과 18
 
4.0%
고슴도치과 18
 
4.0%
사슴과 18
 
4.0%
땃쥐과 15
 
3.4%
Other values (3) 20
 
4.5%

서울시보호
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
0
338 
1
107 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 338
76.0%
1 107
 
24.0%

Length

2024-05-11T01:52:02.183819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:52:02.630151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 338
76.0%
1 107
 
24.0%

멸종위기1
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
0
444 
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
0 444
99.8%
1 1
 
0.2%

Length

2024-05-11T01:52:03.100078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:52:03.466286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 444
99.8%
1 1
 
0.2%

멸종위기2
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
0
440 
1
 
5

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 (%)
0 440
98.9%
1 5
 
1.1%

Length

2024-05-11T01:52:04.064379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:52:04.407761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 440
98.9%
1 5
 
1.1%

천연기념물
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
0
445 

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 (%)
0 445
100.0%

Length

2024-05-11T01:52:04.840081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:52:05.230211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 445
100.0%

고유종
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
0
427 
1
 
18

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 (%)
0 427
96.0%
1 18
 
4.0%

Length

2024-05-11T01:52:05.671159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:52:06.099524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 427
96.0%
1 18
 
4.0%

유해종
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
0
346 
1
99 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 346
77.8%
1 99
 
22.2%

Length

2024-05-11T01:52:06.470739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:52:06.905021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 346
77.8%
1 99
 
22.2%

포획금지종
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
0
336 
1
109 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 336
75.5%
1 109
 
24.5%

Length

2024-05-11T01:52:07.524278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:52:08.076177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 336
75.5%
1 109
 
24.5%

자치구
Categorical

HIGH CORRELATION 

Distinct25
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
마포구
85 
노원구
54 
강북구
52 
종로구
46 
강남구
45 
Other values (20)
163 

Length

Max length26
Median length3
Mean length4.141573
Min length2

Unique

Unique3 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
마포구 85
19.1%
노원구 54
12.1%
강북구 52
11.7%
종로구 46
10.3%
강남구 45
10.1%
서초구 27
 
6.1%
관악구 24
 
5.4%
강서구 17
 
3.8%
구로구 16
 
3.6%
용산구, 마포구, 영등포구, 서초구, 성동구 등 10
 
2.2%
Other values (15) 69
15.5%

Length

2024-05-11T01:52:08.855229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
마포구 95
17.4%
노원구 59
10.8%
강남구 53
9.7%
강북구 52
9.5%
종로구 49
9.0%
서초구 37
 
6.8%
관악구 24
 
4.4%
성동구 22
 
4.0%
강서구 21
 
3.8%
구로구 20
 
3.7%
Other values (14) 115
21.0%

조사지역
Categorical

HIGH CORRELATION 

Distinct43
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
월드컵공원
72 
북한산
51 
수락산
27 
불암산
27 
관악산
 
24
Other values (38)
244 

Length

Max length16
Median length3
Mean length4.6067416
Min length2

Unique

Unique5 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
월드컵공원 72
16.2%
북한산 51
 
11.5%
수락산 27
 
6.1%
불암산 27
 
6.1%
관악산 24
 
5.4%
인왕산 24
 
5.4%
청계산 22
 
4.9%
북악산 17
 
3.8%
난지도 월드컵공원 13
 
2.9%
강서습지생태공원 12
 
2.7%
Other values (33) 156
35.1%

Length

2024-05-11T01:52:09.782319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
월드컵공원 85
 
16.2%
북한산 51
 
9.7%
수락산 27
 
5.1%
불암산 27
 
5.1%
청계산 27
 
5.1%
관악산 24
 
4.6%
인왕산 24
 
4.6%
생태경관보전지역 18
 
3.4%
북악산 17
 
3.2%
난지도 13
 
2.5%
Other values (38) 213
40.5%

조사연도
Real number (ℝ)

HIGH CORRELATION 

Distinct13
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2004.782
Minimum1997
Maximum2011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.0 KiB
2024-05-11T01:52:10.368723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1997
5-th percentile1997
Q12003
median2004
Q32009
95-th percentile2010
Maximum2011
Range14
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.9830316
Coefficient of variation (CV)0.0019867654
Kurtosis-0.60986954
Mean2004.782
Median Absolute Deviation (MAD)3
Skewness-0.43968022
Sum892128
Variance15.864541
MonotonicityNot monotonic
2024-05-11T01:52:10.974825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
2004 108
24.3%
2009 65
14.6%
2010 46
10.3%
2007 40
 
9.0%
2005 40
 
9.0%
1998 34
 
7.6%
1997 32
 
7.2%
2003 30
 
6.7%
2001 14
 
3.1%
2002 12
 
2.7%
Other values (3) 24
 
5.4%
ValueCountFrequency (%)
1997 32
 
7.2%
1998 34
 
7.6%
2001 14
 
3.1%
2002 12
 
2.7%
2003 30
 
6.7%
2004 108
24.3%
2005 40
 
9.0%
2006 9
 
2.0%
2007 40
 
9.0%
2008 4
 
0.9%
ValueCountFrequency (%)
2011 11
 
2.5%
2010 46
10.3%
2009 65
14.6%
2008 4
 
0.9%
2007 40
 
9.0%
2006 9
 
2.0%
2005 40
 
9.0%
2004 108
24.3%
2003 30
 
6.7%
2002 12
 
2.7%

조사출처
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
문헌조사
445 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
문헌조사 445
100.0%

Length

2024-05-11T01:52:11.508197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:52:12.024484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
문헌조사 445
100.0%

참고문헌
Categorical

HIGH CORRELATION 

Distinct27
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
산림생태계조사 연구보고서
66 
월드컵공원 자연생태계 모니터링 및 관리방안
52 
공원녹지의 효과적인 연결을 위한 기본계획
48 
2007년 한강생태계 조사
38 
서울시 도시숲 산림 건강성 및 생물다양성 학술연구
38 
Other values (22)
203 

Length

Max length42
Median length30
Mean length19.548315
Min length10

Unique

Unique6 ?
Unique (%)1.3%

Sample

1st row산림생태계조사 연구보고서
2nd row산림생태계조사 연구보고서
3rd row산림생태계조사 연구보고서
4th row산림생태계조사 연구보고서
5th row산림생태계조사 연구보고서

Common Values

ValueCountFrequency (%)
산림생태계조사 연구보고서 66
14.8%
월드컵공원 자연생태계 모니터링 및 관리방안 52
11.7%
공원녹지의 효과적인 연결을 위한 기본계획 48
10.8%
2007년 한강생태계 조사 38
8.5%
서울시 도시숲 산림 건강성 및 생물다양성 학술연구 38
8.5%
북한산 국립공원 자원 모니터링 37
8.3%
월드컵공원 자연생태계 모니터링 33
7.4%
탄천 생태계 보전지역 생태변화관찰 및 관리대책 27
 
6.1%
서울시 도시숲(산림) 생태계 조사 학술 연구 23
 
5.2%
북한산 자연자원종합조사 14
 
3.1%
Other values (17) 69
15.5%

Length

2024-05-11T01:52:12.379508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
및 143
 
7.5%
모니터링 135
 
7.1%
자연생태계 89
 
4.6%
월드컵공원 85
 
4.4%
산림생태계조사 66
 
3.4%
연구보고서 66
 
3.4%
서울시 63
 
3.3%
조사 61
 
3.2%
관리방안 56
 
2.9%
생태계 53
 
2.8%
Other values (61) 1097
57.3%

x_value
Real number (ℝ)

HIGH CORRELATION 

Distinct41
Distinct (%)9.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean198287.8
Minimum182514.7
Maximum212478.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.0 KiB
2024-05-11T01:52:12.772242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum182514.7
5-th percentile184046.63
Q1190107.9
median198426.6
Q3206409.8
95-th percentile208666.8
Maximum212478.3
Range29963.6
Interquartile range (IQR)16301.9

Descriptive statistics

Standard deviation7682.4781
Coefficient of variation (CV)0.038744078
Kurtosis-1.0093087
Mean198287.8
Median Absolute Deviation (MAD)8137.7
Skewness-0.17837901
Sum88238071
Variance59020469
MonotonicityNot monotonic
2024-05-11T01:52:13.193491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
190107.9 72
16.2%
198426.6 51
 
11.5%
206693.8 27
 
6.1%
207848.3 27
 
6.1%
196252.9 24
 
5.4%
196429.0 24
 
5.4%
203920.1 22
 
4.9%
197599.8 17
 
3.8%
189432.0 13
 
2.9%
183705.691 12
 
2.7%
Other values (31) 156
35.1%
ValueCountFrequency (%)
182514.7 5
 
1.1%
183705.691 12
 
2.7%
184046.633 9
 
2.0%
184366.018 2
 
0.4%
185078.563 5
 
1.1%
189432.0 13
 
2.9%
189443.6 4
 
0.9%
190107.9 72
16.2%
191803.359 5
 
1.1%
192687.5 6
 
1.3%
ValueCountFrequency (%)
212478.3 3
 
0.7%
212080.9 1
 
0.2%
210817.4 7
 
1.6%
209484.4 7
 
1.6%
208666.8 9
 
2.0%
208246.3 5
 
1.1%
207848.3 27
6.1%
207595.126 3
 
0.7%
207194.9 5
 
1.1%
206693.8 27
6.1%

y_value
Real number (ℝ)

HIGH CORRELATION 

Distinct42
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean451539.88
Minimum437272.4
Maximum465056.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.0 KiB
2024-05-11T01:52:13.706482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum437272.4
5-th percentile437564.6
Q1444405
median451442.6
Q3455621.9
95-th percentile465056.8
Maximum465056.8
Range27784.4
Interquartile range (IQR)11216.9

Descriptive statistics

Standard deviation8040.4533
Coefficient of variation (CV)0.01780674
Kurtosis-0.93171183
Mean451539.88
Median Absolute Deviation (MAD)7037.6
Skewness-0.020368695
Sum2.0093525 × 108
Variance64648889
MonotonicityNot monotonic
2024-05-11T01:52:14.248358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
451442.6 72
16.2%
461398.5 51
 
11.5%
465056.8 27
 
6.1%
462895.7 27
 
6.1%
440098.8 24
 
5.4%
453421.1 24
 
5.4%
437272.4 22
 
4.9%
454548.1 17
 
3.8%
452034.0 13
 
2.9%
453917.161 12
 
2.7%
Other values (32) 156
35.1%
ValueCountFrequency (%)
437272.4 22
4.9%
437564.6 5
 
1.1%
440098.8 24
5.4%
440774.0 7
 
1.6%
441372.6 9
 
2.0%
441972.486 5
 
1.1%
442266.3 3
 
0.7%
442291.717 2
 
0.4%
443015.0 7
 
1.6%
443025.1 4
 
0.9%
ValueCountFrequency (%)
465056.8 27
6.1%
462895.7 27
6.1%
462337.416 1
 
0.2%
461398.5 51
11.5%
460922.9 1
 
0.2%
459473.723 1
 
0.2%
456296.061 3
 
0.7%
455621.9 5
 
1.1%
454548.1 17
 
3.8%
454339.7 1
 
0.2%

f19
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
0
445 

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 (%)
0 445
100.0%

Length

2024-05-11T01:52:14.621857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:52:14.913228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 445
100.0%

조사시점
Categorical

HIGH CORRELATION 

Distinct43
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
p0198
72 
p0102
51 
p0148
27 
p0119
27 
p0036
 
24
Other values (38)
244 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique5 ?
Unique (%)1.1%

Sample

1st rowp0148
2nd rowp0148
3rd rowp0148
4th rowp0148
5th rowp0148

Common Values

ValueCountFrequency (%)
p0198 72
16.2%
p0102 51
 
11.5%
p0148 27
 
6.1%
p0119 27
 
6.1%
p0036 24
 
5.4%
p0205 24
 
5.4%
p0243 22
 
4.9%
p0099 17
 
3.8%
p0056 13
 
2.9%
p0305 12
 
2.7%
Other values (33) 156
35.1%

Length

2024-05-11T01:52:15.234485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
p0198 72
16.2%
p0102 51
 
11.5%
p0148 27
 
6.1%
p0119 27
 
6.1%
p0036 24
 
5.4%
p0205 24
 
5.4%
p0243 22
 
4.9%
p0099 17
 
3.8%
p0056 13
 
2.9%
p0305 12
 
2.7%
Other values (33) 156
35.1%

Interactions

2024-05-11T01:51:53.262289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:51:49.134466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:51:50.669986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:51:51.934779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:51:53.724789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:51:49.510047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:51:50.953986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:51:52.275304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:51:54.059062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:51:49.963038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:51:51.239655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:51:52.561739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:51:54.382939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:51:50.355698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:51:51.582865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:51:52.879054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-11T01:52:15.483351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
객체id종명과명서울시보호멸종위기1멸종위기2고유종유해종포획금지종자치구조사지역조사연도참고문헌x_valuey_value조사시점
객체id1.0000.0000.0580.0000.0000.1200.0000.0000.0000.8350.9200.4860.7750.5770.6430.920
종명0.0001.0001.0001.0001.0001.0001.0001.0001.0000.0000.0000.3330.5220.3740.4270.000
과명0.0581.0001.0000.8720.1770.3171.0000.8610.7730.2440.0000.1830.2640.2470.2220.000
서울시보호0.0001.0000.8721.0000.0000.0000.1420.4420.3550.0000.0000.0000.1610.0590.0380.000
멸종위기10.0001.0000.1770.0001.0000.0000.0000.0000.0000.0000.0000.0580.0000.0000.0000.000
멸종위기20.1201.0000.3170.0000.0001.0000.0000.0000.0000.0000.0000.1700.1260.0200.0000.000
고유종0.0001.0001.0000.1420.0000.0001.0000.1310.1440.0100.0000.0580.0000.0720.1160.000
유해종0.0001.0000.8610.4420.0000.0000.1311.0000.1660.1040.0000.0650.1710.0000.1810.000
포획금지종0.0001.0000.7730.3550.0000.0000.1440.1661.0000.0000.0000.0000.0000.0000.0000.000
자치구0.8350.0000.2440.0000.0000.0000.0100.1040.0001.0001.0000.8670.9550.9820.9911.000
조사지역0.9200.0000.0000.0000.0000.0000.0000.0000.0001.0001.0000.9300.9891.0001.0001.000
조사연도0.4860.3330.1830.0000.0580.1700.0580.0650.0000.8670.9301.0000.9970.7760.7060.930
참고문헌0.7750.5220.2640.1610.0000.1260.0000.1710.0000.9550.9890.9971.0000.9440.9270.989
x_value0.5770.3740.2470.0590.0000.0200.0720.0000.0000.9821.0000.7760.9441.0000.8031.000
y_value0.6430.4270.2220.0380.0000.0000.1160.1810.0000.9911.0000.7060.9270.8031.0001.000
조사시점0.9200.0000.0000.0000.0000.0000.0000.0000.0001.0001.0000.9300.9891.0001.0001.000
2024-05-11T01:52:15.869506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
멸종위기2종명유해종조사시점참고문헌자치구조사지역과명포획금지종서울시보호고유종멸종위기1
멸종위기21.0000.9690.0000.0000.1040.0000.0000.2920.0000.0000.0000.000
종명0.9691.0000.9690.0000.1460.0000.0000.9810.9690.9690.9690.969
유해종0.0000.9691.0000.0000.1420.0860.0000.8340.1060.2910.0840.000
조사시점0.0000.0000.0001.0000.7780.9781.0000.0000.0000.0000.0000.000
참고문헌0.1040.1460.1420.7781.0000.6160.7780.0850.0000.1340.0000.000
자치구0.0000.0000.0860.9780.6161.0000.9780.0790.0000.0000.0000.000
조사지역0.0000.0000.0001.0000.7780.9781.0000.0000.0000.0000.0000.000
과명0.2920.9810.8340.0000.0850.0790.0001.0000.7320.8470.9880.163
포획금지종0.0000.9690.1060.0000.0000.0000.0000.7321.0000.2310.0920.000
서울시보호0.0000.9690.2910.0000.1340.0000.0000.8470.2311.0000.0910.000
고유종0.0000.9690.0840.0000.0000.0000.0000.9880.0920.0911.0000.000
멸종위기10.0000.9690.0000.0000.0000.0000.0000.1630.0000.0000.0001.000
2024-05-11T01:52:16.247788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
객체id조사연도x_valuey_value종명과명서울시보호멸종위기1멸종위기2고유종유해종포획금지종자치구조사지역참고문헌조사시점
객체id1.0000.062-0.2620.0270.0000.0330.0000.0000.0900.0000.0000.0000.5160.6450.4380.645
조사연도0.0621.000-0.2540.0810.1570.0880.0000.0690.1750.0140.0590.0000.5460.6510.8930.651
x_value-0.262-0.2541.0000.0900.1470.1060.0150.0000.0000.0660.0000.0000.8840.9600.6460.960
y_value0.0270.0810.0901.0000.1630.0910.0000.0000.0000.0840.0000.0000.8960.9610.5990.961
종명0.0000.1570.1470.1631.0000.9810.9690.9690.9690.9690.9690.9690.0000.0000.1460.000
과명0.0330.0880.1060.0910.9811.0000.8470.1630.2920.9880.8340.7320.0790.0000.0850.000
서울시보호0.0000.0000.0150.0000.9690.8471.0000.0000.0000.0910.2910.2310.0000.0000.1340.000
멸종위기10.0000.0690.0000.0000.9690.1630.0001.0000.0000.0000.0000.0000.0000.0000.0000.000
멸종위기20.0900.1750.0000.0000.9690.2920.0000.0001.0000.0000.0000.0000.0000.0000.1040.000
고유종0.0000.0140.0660.0840.9690.9880.0910.0000.0001.0000.0840.0920.0000.0000.0000.000
유해종0.0000.0590.0000.0000.9690.8340.2910.0000.0000.0841.0000.1060.0860.0000.1420.000
포획금지종0.0000.0000.0000.0000.9690.7320.2310.0000.0000.0920.1061.0000.0000.0000.0000.000
자치구0.5160.5460.8840.8960.0000.0790.0000.0000.0000.0000.0860.0001.0000.9780.6160.978
조사지역0.6450.6510.9600.9610.0000.0000.0000.0000.0000.0000.0000.0000.9781.0000.7781.000
참고문헌0.4380.8930.6460.5990.1460.0850.1340.0000.1040.0000.1420.0000.6160.7781.0000.778
조사시점0.6450.6510.9600.9610.0000.0000.0000.0000.0000.0000.0000.0000.9781.0000.7781.000

Missing values

2024-05-11T01:51:54.949100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-11T01:51:56.321190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

객체id종명학명과명서울시보호멸종위기1멸종위기2천연기념물고유종유해종포획금지종자치구조사지역조사연도조사출처참고문헌x_valuey_valuef19조사시점
024443개Canis familiaris개과0000000노원구수락산1998문헌조사산림생태계조사 연구보고서206693.8465056.80p0148
124444고양이Felis catus고양이과0000000노원구수락산1998문헌조사산림생태계조사 연구보고서206693.8465056.80p0148
224445너구리Nyctereutes procyonoides (Gray, 1834)개과0000000노원구수락산1998문헌조사산림생태계조사 연구보고서206693.8465056.80p0148
324446청설모Sciurus vulgaris (Linnaeus, 1758)다람쥐과0000011노원구수락산1998문헌조사산림생태계조사 연구보고서206693.8465056.80p0148
424447다람쥐Tamias sibiricus (Laxmannm, 1769)다람쥐과1000000노원구수락산1998문헌조사산림생태계조사 연구보고서206693.8465056.80p0148
524448등줄쥐Apodemus agrarius (Pallas, 1777)쥐과0000000노원구수락산2004문헌조사공원녹지의 효과적인 연결을 위한 기본계획206693.8465056.80p0148
624641흰넓적다리붉은쥐Apodemus peninsulae (Thomas, 1910)쥐과0000001노원구수락산2004문헌조사공원녹지의 효과적인 연결을 위한 기본계획206693.8465056.80p0148
724642멧토끼Lepus coreanus (Thomas, 1894)토끼과0000100노원구수락산2004문헌조사공원녹지의 효과적인 연결을 위한 기본계획206693.8465056.80p0148
824643두더지Mogera wogura (Temminck, 1852)두더지과0000010노원구수락산2004문헌조사공원녹지의 효과적인 연결을 위한 기본계획206693.8465056.80p0148
924644고슴도치Erinaceus amurensis (Schrenk, 1859)고슴도치과1000000노원구수락산2004문헌조사공원녹지의 효과적인 연결을 위한 기본계획206693.8465056.80p0148
객체id종명학명과명서울시보호멸종위기1멸종위기2천연기념물고유종유해종포획금지종자치구조사지역조사연도조사출처참고문헌x_valuey_valuef19조사시점
43525070청설모Sciurus vulgaris (Linnaeus, 1758)다람쥐과0000011마포구월드컵공원2004문헌조사월드컵공원 자연생태계 모니터링 및 관리방안190107.9451442.60p0198
43625071멧돼지Sus scrofa (Linnaeus, 1758)멧돼지과0000010마포구월드컵공원2004문헌조사월드컵공원 자연생태계 모니터링 및 관리방안190107.9451442.60p0198
43725072다람쥐Tamias sibiricus (Laxmannm, 1769)다람쥐과1000000마포구월드컵공원2004문헌조사월드컵공원 자연생태계 모니터링 및 관리방안190107.9451442.60p0198
43825073안주애기박쥐Vespertilio superans작은박쥐과0000001마포구월드컵공원2004문헌조사월드컵공원 자연생태계 모니터링 및 관리방안190107.9451442.60p0198
43925074두더지Mogera wogura (Temminck, 1880)두더지과0000010마포구월드컵공원2005문헌조사월드컵공원 자연생태계 모니터링 및 관리방안190107.9451442.60p0198
44025075개Canis familiaris개과0000000마포구월드컵공원2005문헌조사월드컵공원 자연생태계 모니터링 및 관리방안190107.9451442.60p0198
44125076땃쥐Crocidura lasiura (Dobson, 1890)땃쥐과0000000마포구월드컵공원2005문헌조사월드컵공원 자연생태계 모니터링 및 관리방안190107.9451442.60p0198
44225077고슴도치Erinaceus amurensis (Schrenk, 1859)고슴도치과1000000마포구월드컵공원2005문헌조사월드컵공원 자연생태계 모니터링 및 관리방안190107.9451442.60p0198
44325078고양이Felis catus고양이과0000000마포구월드컵공원2005문헌조사월드컵공원 자연생태계 모니터링 및 관리방안190107.9451442.60p0198
44425079고라니Hydropotes inermis (Swinhoe, 1870)사슴과0000010마포구월드컵공원2005문헌조사월드컵공원 자연생태계 모니터링 및 관리방안190107.9451442.60p0198