Overview

Dataset statistics

Number of variables25
Number of observations363
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory74.2 KiB
Average record size in memory209.4 B

Variable types

Numeric4
Categorical19
Text2

Dataset

Description객체id,조사지점,분류군,종명,과명,개체수,올챙이수,난괴수,난괴크기,서울시보호,멸종위기1,멸종위기2,천연기념물,고유종,서식처면적,바닥구조,사면구조,수심_cm,자치구명,조사지역,조사연도,조사출처,x_value,y_value,특이종범례
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-21153/S/1/datasetView.do

Alerts

난괴크기 has constant value ""Constant
멸종위기1 has constant value ""Constant
분류군 is highly imbalanced (72.0%)Imbalance
개체수 is highly imbalanced (83.5%)Imbalance
올챙이수 is highly imbalanced (71.6%)Imbalance
난괴수 is highly imbalanced (77.7%)Imbalance
천연기념물 is highly imbalanced (93.1%)Imbalance
바닥구조 is highly imbalanced (51.1%)Imbalance
사면구조 is highly imbalanced (54.2%)Imbalance
객체id has unique valuesUnique

Reproduction

Analysis started2024-05-11 10:00:02.318685
Analysis finished2024-05-11 10:00:03.070679
Duration0.75 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

객체id
Real number (ℝ)

UNIQUE 

Distinct363
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22244.507
Minimum21799
Maximum22433
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-05-11T10:00:03.465682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum21799
5-th percentile22089.1
Q122161.5
median22252
Q322342.5
95-th percentile22414.9
Maximum22433
Range634
Interquartile range (IQR)181

Descriptive statistics

Standard deviation125.10328
Coefficient of variation (CV)0.0056240078
Kurtosis2.1381822
Mean22244.507
Median Absolute Deviation (MAD)91
Skewness-1.0210811
Sum8074756
Variance15650.831
MonotonicityStrictly increasing
2024-05-11T10:00:04.167759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21799 1
 
0.3%
22321 1
 
0.3%
22319 1
 
0.3%
22318 1
 
0.3%
22317 1
 
0.3%
22316 1
 
0.3%
22315 1
 
0.3%
22314 1
 
0.3%
22313 1
 
0.3%
22312 1
 
0.3%
Other values (353) 353
97.2%
ValueCountFrequency (%)
21799 1
0.3%
21800 1
0.3%
21801 1
0.3%
21802 1
0.3%
21803 1
0.3%
21804 1
0.3%
21805 1
0.3%
21806 1
0.3%
21807 1
0.3%
21808 1
0.3%
ValueCountFrequency (%)
22433 1
0.3%
22432 1
0.3%
22431 1
0.3%
22430 1
0.3%
22429 1
0.3%
22428 1
0.3%
22427 1
0.3%
22426 1
0.3%
22425 1
0.3%
22424 1
0.3%

조사지점
Real number (ℝ)

Distinct90
Distinct (%)24.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean71.85124
Minimum5
Maximum140
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-05-11T10:00:04.680109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile20
Q140
median76
Q3102
95-th percentile127
Maximum140
Range135
Interquartile range (IQR)62

Descriptive statistics

Standard deviation37.68032
Coefficient of variation (CV)0.5244213
Kurtosis-1.2737036
Mean71.85124
Median Absolute Deviation (MAD)36
Skewness-0.021581672
Sum26082
Variance1419.8065
MonotonicityNot monotonic
2024-05-11T10:00:05.133012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 36
 
9.9%
76 35
 
9.6%
95 24
 
6.6%
40 24
 
6.6%
115 13
 
3.6%
123 12
 
3.3%
102 8
 
2.2%
33 8
 
2.2%
21 7
 
1.9%
51 7
 
1.9%
Other values (80) 189
52.1%
ValueCountFrequency (%)
5 2
0.6%
6 2
0.6%
7 1
0.3%
10 2
0.6%
12 1
0.3%
15 2
0.6%
16 1
0.3%
17 2
0.6%
18 2
0.6%
19 1
0.3%
ValueCountFrequency (%)
140 1
 
0.3%
138 3
 
0.8%
133 6
1.7%
129 1
 
0.3%
128 4
 
1.1%
127 6
1.7%
126 1
 
0.3%
125 7
1.9%
124 4
 
1.1%
123 12
3.3%

분류군
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
양서류
325 
파충류
 
32
양서강
 
5
파충강
 
1

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
양서류 325
89.5%
파충류 32
 
8.8%
양서강 5
 
1.4%
파충강 1
 
0.3%

Length

2024-05-11T10:00:05.524342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T10:00:05.937773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
양서류 325
89.5%
파충류 32
 
8.8%
양서강 5
 
1.4%
파충강 1
 
0.3%

종명
Categorical

Distinct10
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
북방산개구리
109 
한국산개구리
89 
맹꽁이
45 
두꺼비
42 
줄장지뱀
28 
Other values (5)
50 

Length

Max length7
Median length6
Mean length5.0523416
Min length2

Unique

Unique2 ?
Unique (%)0.6%

Sample

1st row줄장지뱀
2nd row남생이
3rd row두꺼비
4th row맹꽁이
5th row맹꽁이

Common Values

ValueCountFrequency (%)
북방산개구리 109
30.0%
한국산개구리 89
24.5%
맹꽁이 45
12.4%
두꺼비 42
 
11.6%
줄장지뱀 28
 
7.7%
무당개구리 28
 
7.7%
꼬리치레도롱뇽 17
 
4.7%
남생이 3
 
0.8%
구렁이 1
 
0.3%
실뱀 1
 
0.3%

Length

2024-05-11T10:00:06.382555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T10:00:07.099926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
북방산개구리 109
30.0%
한국산개구리 89
24.5%
맹꽁이 45
12.4%
두꺼비 42
 
11.6%
줄장지뱀 28
 
7.7%
무당개구리 28
 
7.7%
꼬리치레도롱뇽 17
 
4.7%
남생이 3
 
0.8%
구렁이 1
 
0.3%
실뱀 1
 
0.3%

과명
Categorical

Distinct8
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
개구리과
198 
맹꽁이과
45 
두꺼비과
42 
장지뱀과
28 
무당개구리과
28 
Other values (3)
22 

Length

Max length6
Median length4
Mean length4.1432507
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row장지뱀과
2nd row남생이과
3rd row두꺼비과
4th row맹꽁이과
5th row맹꽁이과

Common Values

ValueCountFrequency (%)
개구리과 198
54.5%
맹꽁이과 45
 
12.4%
두꺼비과 42
 
11.6%
장지뱀과 28
 
7.7%
무당개구리과 28
 
7.7%
도롱뇽과 17
 
4.7%
남생이과 3
 
0.8%
뱀과 2
 
0.6%

Length

2024-05-11T10:00:07.595638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T10:00:08.127823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개구리과 198
54.5%
맹꽁이과 45
 
12.4%
두꺼비과 42
 
11.6%
장지뱀과 28
 
7.7%
무당개구리과 28
 
7.7%
도롱뇽과 17
 
4.7%
남생이과 3
 
0.8%
뱀과 2
 
0.6%

개체수
Categorical

IMBALANCE 

Distinct15
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
336 
1
 
6
5
 
3
2
 
3
10
 
2
Other values (10)
 
13

Length

Max length8
Median length1
Mean length1.0688705
Min length1

Unique

Unique7 ?
Unique (%)1.9%

Sample

1st row
2nd row
3rd row
4th row50
5th row

Common Values

ValueCountFrequency (%)
336
92.6%
1 6
 
1.7%
5 3
 
0.8%
2 3
 
0.8%
10 2
 
0.6%
20 2
 
0.6%
6 2
 
0.6%
울음소리 2
 
0.6%
50 1
 
0.3%
25 1
 
0.3%
Other values (5) 5
 
1.4%

Length

2024-05-11T10:00:08.612769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
1 6
22.2%
5 3
11.1%
2 3
11.1%
10 2
 
7.4%
20 2
 
7.4%
6 2
 
7.4%
울음소리 2
 
7.4%
50 1
 
3.7%
25 1
 
3.7%
3 1
 
3.7%
Other values (4) 4
14.8%

올챙이수
Categorical

IMBALANCE 

Distinct22
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
302 
다수
 
13
1
 
12
2
 
6
6
 
5
Other values (17)
 
25

Length

Max length27
Median length1
Mean length1.446281
Min length1

Unique

Unique14 ?
Unique (%)3.9%

Sample

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

Common Values

ValueCountFrequency (%)
302
83.2%
다수 13
 
3.6%
1 12
 
3.3%
2 6
 
1.7%
6 5
 
1.4%
5 4
 
1.1%
3 4
 
1.1%
4 3
 
0.8%
유생 몸통 0.8cm 몸길이 1~1.8cm 1
 
0.3%
40 1
 
0.3%
Other values (12) 12
 
3.3%

Length

2024-05-11T10:00:09.131267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
다수 13
16.2%
1 12
15.0%
2 6
 
7.5%
6 5
 
6.2%
유생 5
 
6.2%
몸길이 5
 
6.2%
5 4
 
5.0%
3 4
 
5.0%
몸통 4
 
5.0%
4 3
 
3.8%
Other values (18) 19
23.8%

난괴수
Categorical

IMBALANCE 

Distinct20
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
319 
1
 
14
4
 
5
2
 
4
8
 
3
Other values (15)
 
18

Length

Max length3
Median length1
Mean length1.0358127
Min length1

Unique

Unique12 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
319
87.9%
1 14
 
3.9%
4 5
 
1.4%
2 4
 
1.1%
8 3
 
0.8%
9 2
 
0.6%
24 2
 
0.6%
6 2
 
0.6%
68 1
 
0.3%
500 1
 
0.3%
Other values (10) 10
 
2.8%

Length

2024-05-11T10:00:09.587413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
1 14
31.8%
4 5
 
11.4%
2 4
 
9.1%
8 3
 
6.8%
9 2
 
4.5%
24 2
 
4.5%
6 2
 
4.5%
36 1
 
2.3%
0 1
 
2.3%
5 1
 
2.3%
Other values (9) 9
20.5%

난괴크기
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
363 

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 (%)
363
100.0%

Length

2024-05-11T10:00:10.146844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T10:00:10.477010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
No values found.

서울시보호
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
1
225 
0
138 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 225
62.0%
0 138
38.0%

Length

2024-05-11T10:00:10.869151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T10:00:11.329444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 225
62.0%
0 138
38.0%

멸종위기1
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
0
363 

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 (%)
0 363
100.0%

Length

2024-05-11T10:00:11.819850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T10:00:12.160908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 363
100.0%

멸종위기2
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
0
314 
1
49 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 314
86.5%
1 49
 
13.5%

Length

2024-05-11T10:00:12.489657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T10:00:12.768209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 314
86.5%
1 49
 
13.5%

천연기념물
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
0
360 
1
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 360
99.2%
1 3
 
0.8%

Length

2024-05-11T10:00:13.161603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T10:00:13.595194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 360
99.2%
1 3
 
0.8%

고유종
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
0
274 
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 (%)
0 274
75.5%
1 89
 
24.5%

Length

2024-05-11T10:00:14.042106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T10:00:14.483917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 274
75.5%
1 89
 
24.5%

서식처면적
Text

Distinct82
Distinct (%)22.6%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2024-05-11T10:00:15.073642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length1
Mean length2.2203857
Min length1

Characters and Unicode

Total characters806
Distinct characters17
Distinct categories6 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique56 ?
Unique (%)15.4%

Sample

1st row
2nd row
3rd row10Χ8
4th row450ⅹ150
5th row
ValueCountFrequency (%)
15ⅹ50 13
 
10.1%
1χ40 5
 
3.9%
30ⅹ10 4
 
3.1%
10ⅹ15 4
 
3.1%
8ⅹ4 3
 
2.3%
0.6χ0.6 3
 
2.3%
5ⅹ4 3
 
2.3%
25ⅹ20 3
 
2.3%
15ⅹ15 3
 
2.3%
4χ4 2
 
1.6%
Other values (71) 86
66.7%
2024-05-11T10:00:16.258352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
234
29.0%
5 99
12.3%
0 88
 
10.9%
1 66
 
8.2%
ⅹ 59
 
7.3%
Χ 40
 
5.0%
4 40
 
5.0%
2 39
 
4.8%
. 37
 
4.6%
* 29
 
3.6%
Other values (7) 75
 
9.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 405
50.2%
Space Separator 234
29.0%
Other Punctuation 66
 
8.2%
Letter Number 59
 
7.3%
Uppercase Letter 40
 
5.0%
Other Letter 2
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 99
24.4%
0 88
21.7%
1 66
16.3%
4 40
9.9%
2 39
 
9.6%
3 26
 
6.4%
8 20
 
4.9%
6 15
 
3.7%
7 9
 
2.2%
9 3
 
0.7%
Other Punctuation
ValueCountFrequency (%)
. 37
56.1%
* 29
43.9%
Other Letter
ValueCountFrequency (%)
도 1
50.0%
랑 1
50.0%
Space Separator
ValueCountFrequency (%)
234
100.0%
Letter Number
ValueCountFrequency (%)
ⅹ 59
100.0%
Uppercase Letter
ValueCountFrequency (%)
Χ 40
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 705
87.5%
Latin 59
 
7.3%
Greek 40
 
5.0%
Hangul 2
 
0.2%

Most frequent character per script

Common
ValueCountFrequency (%)
234
33.2%
5 99
14.0%
0 88
 
12.5%
1 66
 
9.4%
4 40
 
5.7%
2 39
 
5.5%
. 37
 
5.2%
* 29
 
4.1%
3 26
 
3.7%
8 20
 
2.8%
Other values (3) 27
 
3.8%
Hangul
ValueCountFrequency (%)
도 1
50.0%
랑 1
50.0%
Latin
ValueCountFrequency (%)
ⅹ 59
100.0%
Greek
ValueCountFrequency (%)
Χ 40
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 705
87.5%
Number Forms 59
 
7.3%
None 40
 
5.0%
Hangul 2
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
234
33.2%
5 99
14.0%
0 88
 
12.5%
1 66
 
9.4%
4 40
 
5.7%
2 39
 
5.5%
. 37
 
5.2%
* 29
 
4.1%
3 26
 
3.7%
8 20
 
2.8%
Other values (3) 27
 
3.8%
Number Forms
ValueCountFrequency (%)
ⅹ 59
100.0%
None
ValueCountFrequency (%)
Χ 40
100.0%
Hangul
ValueCountFrequency (%)
도 1
50.0%
랑 1
50.0%

바닥구조
Categorical

IMBALANCE 

Distinct13
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
212 
1
91 
흙
 
21
0
 
18
silt
 
4
Other values (8)
 
17

Length

Max length6
Median length1
Mean length1.0881543
Min length1

Unique

Unique5 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
212
58.4%
1 91
25.1%
흙 21
 
5.8%
0 18
 
5.0%
silt 4
 
1.1%
진흙 4
 
1.1%
3 4
 
1.1%
2 4
 
1.1%
자갈, 낙엽 1
 
0.3%
sand 1
 
0.3%
Other values (3) 3
 
0.8%

Length

2024-05-11T10:00:16.745347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
1 91
59.1%
흙 23
 
14.9%
0 18
 
11.7%
silt 4
 
2.6%
진흙 4
 
2.6%
3 4
 
2.6%
2 4
 
2.6%
낙엽 3
 
1.9%
자갈 1
 
0.6%
sand 1
 
0.6%

사면구조
Categorical

IMBALANCE 

Distinct17
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
223 
1
79 
4
 
18
0
 
13
흙
 
7
Other values (12)
23 

Length

Max length6
Median length1
Mean length1.1460055
Min length1

Unique

Unique7 ?
Unique (%)1.9%

Sample

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

Common Values

ValueCountFrequency (%)
223
61.4%
1 79
 
21.8%
4 18
 
5.0%
0 13
 
3.6%
흙 7
 
1.9%
자연호안 4
 
1.1%
2 4
 
1.1%
5 3
 
0.8%
자연(흙) 3
 
0.8%
자연하안 2
 
0.6%
Other values (7) 7
 
1.9%

Length

2024-05-11T10:00:17.439263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
1 79
55.6%
4 18
 
12.7%
0 13
 
9.2%
흙 8
 
5.6%
자연호안 4
 
2.8%
2 4
 
2.8%
5 3
 
2.1%
자연(흙 3
 
2.1%
자연하안 2
 
1.4%
자연석쌓기 1
 
0.7%
Other values (7) 7
 
4.9%

수심_cm
Categorical

Distinct30
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
222 
15
 
17
20
 
16
10
 
16
5
 
15
Other values (25)
77 

Length

Max length7
Median length1
Mean length1.322314
Min length1

Unique

Unique8 ?
Unique (%)2.2%

Sample

1st row
2nd row
3rd row25
4th row0
5th row

Common Values

ValueCountFrequency (%)
222
61.2%
15 17
 
4.7%
20 16
 
4.4%
10 16
 
4.4%
5 15
 
4.1%
0 14
 
3.9%
30 10
 
2.8%
25 9
 
2.5%
12 4
 
1.1%
17 3
 
0.8%
Other values (20) 37
 
10.2%

Length

2024-05-11T10:00:18.179262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
15 17
12.1%
10 16
11.3%
20 16
11.3%
5 15
10.6%
0 14
9.9%
30 10
 
7.1%
25 9
 
6.4%
12 4
 
2.8%
3 3
 
2.1%
50 3
 
2.1%
Other values (19) 34
24.1%

자치구명
Categorical

Distinct24
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
강동구
54 
마포구
41 
강북구
40 
용산구
34 
강남구
28 
Other values (19)
166 

Length

Max length4
Median length3
Mean length3.0165289
Min length2

Unique

Unique3 ?
Unique (%)0.8%

Sample

1st row용산구
2nd row영등포구
3rd row송파구
4th row송파구
5th row종로구

Common Values

ValueCountFrequency (%)
강동구 54
14.9%
마포구 41
11.3%
강북구 40
11.0%
용산구 34
9.4%
강남구 28
 
7.7%
은평구 25
 
6.9%
종로구 23
 
6.3%
서초구 16
 
4.4%
성북구 15
 
4.1%
도봉구 12
 
3.3%
Other values (14) 75
20.7%

Length

2024-05-11T10:00:18.619701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
강동구 54
14.9%
마포구 41
11.3%
강북구 40
11.0%
용산구 34
9.4%
강남구 28
 
7.7%
은평구 25
 
6.9%
종로구 23
 
6.3%
서초구 16
 
4.4%
성북구 15
 
4.1%
도봉구 12
 
3.3%
Other values (14) 75
20.7%

조사지역
Text

Distinct93
Distinct (%)25.6%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2024-05-11T10:00:19.289410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length13
Mean length6.4187328
Min length2

Characters and Unicode

Total characters2330
Distinct characters155
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

Unique35 ?
Unique (%)9.6%

Sample

1st row반포천합류부~봉원천합류부
2nd row밤섬
3rd row방이동생태경관보전지역
4th row방이동생태경관보전지역
5th row백사실계곡 생태경관보전지역
ValueCountFrequency (%)
북한산 36
 
8.8%
둔촌동생태경관보전지역 32
 
7.8%
월드컵공원 24
 
5.9%
효창근린공원 24
 
5.9%
생태경관보전지역 18
 
4.4%
진관내동주변 13
 
3.2%
구기계곡 12
 
2.9%
합류부 9
 
2.2%
청계산 9
 
2.2%
남산 8
 
2.0%
Other values (87) 223
54.7%
2024-05-11T10:00:20.523971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
산 117
 
5.0%
원 104
 
4.5%
동 95
 
4.1%
지 89
 
3.8%
공 87
 
3.7%
관 80
 
3.4%
생 72
 
3.1%
태 72
 
3.1%
천 58
 
2.5%
경 54
 
2.3%
Other values (145) 1502
64.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2210
94.8%
Space Separator 45
 
1.9%
Decimal Number 42
 
1.8%
Math Symbol 29
 
1.2%
Dash Punctuation 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 117
 
5.3%
원 104
 
4.7%
동 95
 
4.3%
지 89
 
4.0%
공 87
 
3.9%
관 80
 
3.6%
생 72
 
3.3%
태 72
 
3.3%
천 58
 
2.6%
경 54
 
2.4%
Other values (134) 1382
62.5%
Decimal Number
ValueCountFrequency (%)
2 9
21.4%
5 7
16.7%
4 7
16.7%
0 6
14.3%
1 5
11.9%
3 5
11.9%
8 2
 
4.8%
7 1
 
2.4%
Space Separator
ValueCountFrequency (%)
45
100.0%
Math Symbol
ValueCountFrequency (%)
~ 29
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2210
94.8%
Common 120
 
5.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 117
 
5.3%
원 104
 
4.7%
동 95
 
4.3%
지 89
 
4.0%
공 87
 
3.9%
관 80
 
3.6%
생 72
 
3.3%
태 72
 
3.3%
천 58
 
2.6%
경 54
 
2.4%
Other values (134) 1382
62.5%
Common
ValueCountFrequency (%)
45
37.5%
~ 29
24.2%
2 9
 
7.5%
5 7
 
5.8%
4 7
 
5.8%
0 6
 
5.0%
1 5
 
4.2%
3 5
 
4.2%
- 4
 
3.3%
8 2
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2210
94.8%
ASCII 120
 
5.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
산 117
 
5.3%
원 104
 
4.7%
동 95
 
4.3%
지 89
 
4.0%
공 87
 
3.9%
관 80
 
3.6%
생 72
 
3.3%
태 72
 
3.3%
천 58
 
2.6%
경 54
 
2.4%
Other values (134) 1382
62.5%
ASCII
ValueCountFrequency (%)
45
37.5%
~ 29
24.2%
2 9
 
7.5%
5 7
 
5.8%
4 7
 
5.8%
0 6
 
5.0%
1 5
 
4.2%
3 5
 
4.2%
- 4
 
3.3%
8 2
 
1.7%

조사연도
Categorical

Distinct15
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2009
135 
2005
54 
2004
45 
2013
34 
2003
29 
Other values (10)
66 

Length

Max length16
Median length4
Mean length4.0826446
Min length4

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row2012
2nd row2002
3rd row2009
4th row2009
5th row2011

Common Values

ValueCountFrequency (%)
2009 135
37.2%
2005 54
 
14.9%
2004 45
 
12.4%
2013 34
 
9.4%
2003 29
 
8.0%
2007 17
 
4.7%
2012 10
 
2.8%
2006 9
 
2.5%
2002 7
 
1.9%
2001 7
 
1.9%
Other values (5) 16
 
4.4%

Length

2024-05-11T10:00:21.253442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2009 135
36.7%
2005 55
14.9%
2004 48
 
13.0%
2013 34
 
9.2%
2003 32
 
8.7%
2007 18
 
4.9%
2012 10
 
2.7%
2006 10
 
2.7%
2002 7
 
1.9%
2001 7
 
1.9%
Other values (3) 12
 
3.3%

조사출처
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
문헌조사
218 
현장조사
145 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
문헌조사 218
60.1%
현장조사 145
39.9%

Length

2024-05-11T10:00:21.814247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T10:00:22.168517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
문헌조사 218
60.1%
현장조사 145
39.9%

x_value
Real number (ℝ)

Distinct90
Distinct (%)24.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean200135.92
Minimum183541.64
Maximum213936.49
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-05-11T10:00:22.577145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum183541.64
5-th percentile189432
Q1195553.3
median198427.01
Q3206409.8
95-th percentile212615.22
Maximum213936.49
Range30394.853
Interquartile range (IQR)10856.5

Descriptive statistics

Standard deviation7831.5206
Coefficient of variation (CV)0.039131009
Kurtosis-0.76363944
Mean200135.92
Median Absolute Deviation (MAD)4743.2114
Skewness0.16536189
Sum72649339
Variance61332715
MonotonicityNot monotonic
2024-05-11T10:00:23.195379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
198427.011386 36
 
9.9%
212615.219829 35
 
9.6%
196586.753 24
 
6.6%
190107.9 24
 
6.6%
195625.2044 13
 
3.6%
196548.6 12
 
3.3%
213623.576033 8
 
2.2%
206409.8 8
 
2.2%
199478.2 7
 
1.9%
204380.0 7
 
1.9%
Other values (80) 189
52.1%
ValueCountFrequency (%)
183541.637392 4
1.1%
183761.999967 1
 
0.3%
184424.4 1
 
0.3%
184537.460279 1
 
0.3%
184591.978 1
 
0.3%
184684.502741 1
 
0.3%
184708.1638 1
 
0.3%
184841.182981 1
 
0.3%
184930.207874 2
0.6%
188123.123 2
0.6%
ValueCountFrequency (%)
213936.490602 1
 
0.3%
213727.703969 1
 
0.3%
213686.3 2
 
0.6%
213623.576033 8
 
2.2%
213591.3821 1
 
0.3%
213085.8 2
 
0.6%
212615.219829 35
9.6%
212218.193107 2
 
0.6%
212205.339403 1
 
0.3%
211799.0 3
 
0.8%

y_value
Real number (ℝ)

Distinct90
Distinct (%)24.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean451851.23
Minimum437272.4
Maximum465056.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-05-11T10:00:23.691201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum437272.4
5-th percentile440811.96
Q1446707.5
median451442.6
Q3457808.33
95-th percentile462874.17
Maximum465056.8
Range27784.4
Interquartile range (IQR)11100.826

Descriptive statistics

Standard deviation7126.8356
Coefficient of variation (CV)0.015772527
Kurtosis-0.94056368
Mean451851.23
Median Absolute Deviation (MAD)5919.9
Skewness0.0064712856
Sum1.64022 × 108
Variance50791786
MonotonicityNot monotonic
2024-05-11T10:00:24.276191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
461398.037615 36
 
9.9%
446707.501386 35
 
9.6%
449286.341 24
 
6.6%
451442.6 24
 
6.6%
459901.4346 13
 
3.6%
457499.8 12
 
3.3%
448666.672931 8
 
2.2%
444405.0 8
 
2.2%
457503.5 7
 
1.9%
437564.6 7
 
1.9%
Other values (80) 189
52.1%
ValueCountFrequency (%)
437272.4 2
 
0.6%
437564.6 7
1.9%
438157.704505 2
 
0.6%
438325.193 1
 
0.3%
440045.845194 1
 
0.3%
440098.8 2
 
0.6%
440157.76 2
 
0.6%
440745.749 1
 
0.3%
440811.959728 2
 
0.6%
440980.5 3
0.8%
ValueCountFrequency (%)
465056.8 1
 
0.3%
464878.9 4
 
1.1%
464412.6 6
 
1.7%
463940.6 1
 
0.3%
462895.7 7
 
1.9%
462680.41868 1
 
0.3%
461398.037615 36
9.9%
461380.5 4
 
1.1%
460922.9 1
 
0.3%
460638.3966 1
 
0.3%

특이종범례
Categorical

Distinct4
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
서울시보호종
225 
고유종
89 
멸종위기종2급
46 
멸종위기종2급, 천연기념물
 
3

Length

Max length14
Median length6
Mean length5.4573003
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row서울시보호종
2nd row멸종위기종2급, 천연기념물
3rd row서울시보호종
4th row멸종위기종2급
5th row멸종위기종2급

Common Values

ValueCountFrequency (%)
서울시보호종 225
62.0%
고유종 89
 
24.5%
멸종위기종2급 46
 
12.7%
멸종위기종2급, 천연기념물 3
 
0.8%

Length

2024-05-11T10:00:24.966463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T10:00:25.432007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울시보호종 225
61.5%
고유종 89
 
24.3%
멸종위기종2급 49
 
13.4%
천연기념물 3
 
0.8%

Sample

객체id조사지점분류군종명과명개체수올챙이수난괴수난괴크기서울시보호멸종위기1멸종위기2천연기념물고유종서식처면적바닥구조사면구조수심_cm자치구명조사지역조사연도조사출처x_valuey_value특이종범례
02179915파충류줄장지뱀장지뱀과10000용산구반포천합류부~봉원천합류부2012문헌조사195553.3446540.4서울시보호종
12180016파충류남생이남생이과00110영등포구밤섬2002문헌조사193804.9298448424.2371멸종위기종2급, 천연기념물
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