Overview

Dataset statistics

Number of variables24
Number of observations1369
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory272.9 KiB
Average record size in memory204.1 B

Variable types

Numeric5
Categorical16
Text3

Dataset

Description객체id,조사지점,종명,학명,과명,우점도,우점종여부,서울시보호,멸종위기1,멸종위기2,천연기념물,고유종,서식형태,영소길드,채이길드,유형화,자치구명,조사지역,조사연도,조사출처,참고문헌,x_value,y_value,특이종범례
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-21159/S/1/datasetView.do

Alerts

고유종 has constant value ""Constant
우점종여부 is highly imbalanced (57.9%)Imbalance
멸종위기1 is highly imbalanced (92.3%)Imbalance
객체id has unique valuesUnique

Reproduction

Analysis started2024-05-10 22:58:24.768755
Analysis finished2024-05-10 22:58:25.687771
Duration0.92 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

객체id
Real number (ℝ)

UNIQUE 

Distinct1369
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean63068.709
Minimum62163
Maximum63755
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.2 KiB
2024-05-10T22:58:25.867279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum62163
5-th percentile62455.4
Q162729
median63071
Q363413
95-th percentile63686.6
Maximum63755
Range1592
Interquartile range (IQR)684

Descriptive statistics

Standard deviation399.88575
Coefficient of variation (CV)0.0063404777
Kurtosis-1.1012787
Mean63068.709
Median Absolute Deviation (MAD)342
Skewness-0.050375457
Sum86341063
Variance159908.61
MonotonicityStrictly increasing
2024-05-10T22:58:26.325076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
62163 1
 
0.1%
63297 1
 
0.1%
63305 1
 
0.1%
63304 1
 
0.1%
63303 1
 
0.1%
63302 1
 
0.1%
63301 1
 
0.1%
63300 1
 
0.1%
63299 1
 
0.1%
63298 1
 
0.1%
Other values (1359) 1359
99.3%
ValueCountFrequency (%)
62163 1
0.1%
62164 1
0.1%
62165 1
0.1%
62166 1
0.1%
62167 1
0.1%
62168 1
0.1%
62169 1
0.1%
62170 1
0.1%
62171 1
0.1%
62172 1
0.1%
ValueCountFrequency (%)
63755 1
0.1%
63754 1
0.1%
63753 1
0.1%
63752 1
0.1%
63751 1
0.1%
63750 1
0.1%
63749 1
0.1%
63748 1
0.1%
63747 1
0.1%
63746 1
0.1%

조사지점
Real number (ℝ)

Distinct199
Distinct (%)14.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean87.750183
Minimum1
Maximum255
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.2 KiB
2024-05-10T22:58:26.773577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile11
Q128
median69
Q3135
95-th percentile234
Maximum255
Range254
Interquartile range (IQR)107

Descriptive statistics

Standard deviation68.373579
Coefficient of variation (CV)0.77918446
Kurtosis-0.34285772
Mean87.750183
Median Absolute Deviation (MAD)42
Skewness0.83897063
Sum120130
Variance4674.9463
MonotonicityNot monotonic
2024-05-10T22:58:27.213841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
28 132
 
9.6%
73 91
 
6.6%
56 90
 
6.6%
144 30
 
2.2%
75 29
 
2.1%
13 28
 
2.0%
23 27
 
2.0%
20 27
 
2.0%
110 27
 
2.0%
66 26
 
1.9%
Other values (189) 862
63.0%
ValueCountFrequency (%)
1 7
 
0.5%
3 4
 
0.3%
4 19
1.4%
5 8
0.6%
6 2
 
0.1%
7 11
0.8%
9 3
 
0.2%
10 6
 
0.4%
11 17
1.2%
12 14
1.0%
ValueCountFrequency (%)
255 1
 
0.1%
254 6
0.4%
253 8
0.6%
252 2
 
0.1%
251 1
 
0.1%
250 4
0.3%
249 2
 
0.1%
247 3
 
0.2%
246 4
0.3%
245 2
 
0.1%

종명
Categorical

Distinct44
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size10.8 KiB
박새
351 
꾀꼬리
161 
오색딱다구리
121 
쇠딱다구리
119 
청딱다구리
96 
Other values (39)
521 

Length

Max length7
Median length6
Mean length3.5653762
Min length1

Unique

Unique5 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
박새 351
25.6%
꾀꼬리 161
11.8%
오색딱다구리 121
 
8.8%
쇠딱다구리 119
 
8.7%
청딱다구리 96
 
7.0%
황조롱이 79
 
5.8%
제비 58
 
4.2%
새홀리기 46
 
3.4%
물총새 42
 
3.1%
원앙 24
 
1.8%
Other values (34) 272
19.9%

Length

2024-05-10T22:58:27.657384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
박새 351
25.6%
꾀꼬리 161
11.8%
오색딱다구리 121
 
8.8%
쇠딱다구리 119
 
8.7%
청딱다구리 96
 
7.0%
황조롱이 79
 
5.8%
제비 58
 
4.2%
새홀리기 46
 
3.4%
물총새 42
 
3.1%
원앙 24
 
1.8%
Other values (34) 272
19.9%

학명
Categorical

Distinct44
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size10.8 KiB
Parus major (Linnaeus, 1758)
351 
Oriolus chinensis (Linnaeus, 1766)
161 
Dendrocopos major (Linnaeus, 1758)
121 
Dendrocopos kizuki (Temminck, 1836)
119 
Picus canus (Gmelin, 1788)
96 
Other values (39)
521 

Length

Max length53
Median length49
Mean length33.900657
Min length18

Unique

Unique5 ?
Unique (%)0.4%

Sample

1st rowAccipiter soloensis (Horsfield, 1822)
2nd rowAccipiter soloensis (Horsfield, 1822)
3rd rowAccipiter soloensis (Horsfield, 1822)
4th rowAccipiter soloensis (Horsfield, 1822)
5th rowAccipiter soloensis (Horsfield, 1822)

Common Values

ValueCountFrequency (%)
Parus major (Linnaeus, 1758) 351
25.6%
Oriolus chinensis (Linnaeus, 1766) 161
11.8%
Dendrocopos major (Linnaeus, 1758) 121
 
8.8%
Dendrocopos kizuki (Temminck, 1836) 119
 
8.7%
Picus canus (Gmelin, 1788) 96
 
7.0%
Falco tinnunculus (Linnaeus, 1758) 79
 
5.8%
Hirundo rustica (Linnaeus, 1758) 58
 
4.2%
Falco subbuteo (Linnaeus, 1758) 46
 
3.4%
Alcedo atthis (Linnaeus, 1758) 42
 
3.1%
Aix galericulata (Linnaeus, 1758) 24
 
1.8%
Other values (34) 272
19.9%

Length

2024-05-10T22:58:28.081697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
linnaeus 953
17.0%
1758 784
 
14.0%
major 472
 
8.4%
parus 351
 
6.3%
dendrocopos 263
 
4.7%
1766 169
 
3.0%
oriolus 161
 
2.9%
chinensis 161
 
2.9%
temminck 154
 
2.8%
1836 142
 
2.5%
Other values (101) 1984
35.5%

과명
Categorical

Distinct15
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size10.8 KiB
딱다구리과
359 
박새과
351 
꾀꼬리과
161 
매과
131 
수리과
76 
Other values (10)
291 

Length

Max length5
Median length4
Mean length3.6778671
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
딱다구리과 359
26.2%
박새과 351
25.6%
꾀꼬리과 161
11.8%
매과 131
 
9.6%
수리과 76
 
5.6%
올빼미과 66
 
4.8%
제비과 58
 
4.2%
물총새과 55
 
4.0%
오리과 44
 
3.2%
딱새과 23
 
1.7%
Other values (5) 45
 
3.3%

Length

2024-05-10T22:58:28.480954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
딱다구리과 359
26.2%
박새과 351
25.6%
꾀꼬리과 161
11.8%
매과 131
 
9.6%
수리과 76
 
5.6%
올빼미과 66
 
4.8%
제비과 58
 
4.2%
물총새과 55
 
4.0%
오리과 44
 
3.2%
딱새과 23
 
1.7%
Other values (5) 45
 
3.3%
Distinct92
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size10.8 KiB
2024-05-10T22:58:28.958266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length1
Mean length2.5149744
Min length1

Characters and Unicode

Total characters3443
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)2.7%

Sample

1st row
2nd row
3rd row
4th row
5th row
ValueCountFrequency (%)
8.444023 103
19.9%
2.466793 33
 
6.4%
2 27
 
5.2%
4 26
 
5.0%
10 18
 
3.5%
6 18
 
3.5%
3 16
 
3.1%
5 15
 
2.9%
7 14
 
2.7%
20 13
 
2.5%
Other values (81) 235
45.4%
2024-05-10T22:58:29.885497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
851
24.7%
4 465
13.5%
3 340
 
9.9%
. 279
 
8.1%
2 274
 
8.0%
0 236
 
6.9%
1 207
 
6.0%
8 202
 
5.9%
6 198
 
5.8%
7 157
 
4.6%
Other values (3) 234
 
6.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2311
67.1%
Space Separator 851
 
24.7%
Other Punctuation 279
 
8.1%
Dash Punctuation 2
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 465
20.1%
3 340
14.7%
2 274
11.9%
0 236
10.2%
1 207
9.0%
8 202
8.7%
6 198
8.6%
7 157
 
6.8%
5 141
 
6.1%
9 91
 
3.9%
Space Separator
ValueCountFrequency (%)
851
100.0%
Other Punctuation
ValueCountFrequency (%)
. 279
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3443
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
851
24.7%
4 465
13.5%
3 340
 
9.9%
. 279
 
8.1%
2 274
 
8.0%
0 236
 
6.9%
1 207
 
6.0%
8 202
 
5.9%
6 198
 
5.8%
7 157
 
4.6%
Other values (3) 234
 
6.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3443
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
851
24.7%
4 465
13.5%
3 340
 
9.9%
. 279
 
8.1%
2 274
 
8.0%
0 236
 
6.9%
1 207
 
6.0%
8 202
 
5.9%
6 198
 
5.8%
7 157
 
4.6%
Other values (3) 234
 
6.8%

우점종여부
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.8 KiB
0
1252 
1
 
117

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 1252
91.5%
1 117
 
8.5%

Length

2024-05-10T22:58:30.157343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T22:58:30.560903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1252
91.5%
1 117
 
8.5%

서울시보호
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.8 KiB
1
1029 
0
340 

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 (%)
1 1029
75.2%
0 340
 
24.8%

Length

2024-05-10T22:58:30.753134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T22:58:30.935260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 1029
75.2%
0 340
 
24.8%

멸종위기1
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.8 KiB
0
1356 
1
 
13

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 1356
99.1%
1 13
 
0.9%

Length

2024-05-10T22:58:31.135345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T22:58:31.357418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1356
99.1%
1 13
 
0.9%

멸종위기2
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.8 KiB
0
1198 
1
171 

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 (%)
0 1198
87.5%
1 171
 
12.5%

Length

2024-05-10T22:58:31.727724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T22:58:32.107944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1198
87.5%
1 171
 
12.5%

천연기념물
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.8 KiB
0
1117 
1
252 

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 (%)
0 1117
81.6%
1 252
 
18.4%

Length

2024-05-10T22:58:32.455247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T22:58:32.774529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1117
81.6%
1 252
 
18.4%

고유종
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.8 KiB
0
1369 

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 1369
100.0%

Length

2024-05-10T22:58:33.135349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T22:58:33.437997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1369
100.0%

서식형태
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size10.8 KiB
텃새
899 
여름철새
395 
겨울철새
 
63
나그네새
 
12

Length

Max length4
Median length2
Mean length2.6866326
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
텃새 899
65.7%
여름철새 395
28.9%
겨울철새 63
 
4.6%
나그네새 12
 
0.9%

Length

2024-05-10T22:58:33.795260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T22:58:34.131077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
텃새 899
65.7%
여름철새 395
28.9%
겨울철새 63
 
4.6%
나그네새 12
 
0.9%

영소길드
Categorical

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size10.8 KiB
나무구멍
736 
수관층
385 
기타
140 
수변
101 
관목층
 
7

Length

Max length4
Median length4
Mean length3.3615778
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
나무구멍 736
53.8%
수관층 385
28.1%
기타 140
 
10.2%
수변 101
 
7.4%
관목층 7
 
0.5%

Length

2024-05-10T22:58:34.386939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T22:58:34.754823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
나무구멍 736
53.8%
수관층 385
28.1%
기타 140
 
10.2%
수변 101
 
7.4%
관목층 7
 
0.5%

채이길드
Categorical

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size10.8 KiB
수관층
896 
임연부
225 
기타
133 
수면
101 
관목층
 
14

Length

Max length3
Median length3
Mean length2.8290723
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
수관층 896
65.4%
임연부 225
 
16.4%
기타 133
 
9.7%
수면 101
 
7.4%
관목층 14
 
1.0%

Length

2024-05-10T22:58:35.200017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T22:58:35.561340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수관층 896
65.4%
임연부 225
 
16.4%
기타 133
 
9.7%
수면 101
 
7.4%
관목층 14
 
1.0%

유형화
Categorical

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size10.8 KiB
4
461 
1
335 
3
319 
2
228 
5
 
26

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 (%)
4 461
33.7%
1 335
24.5%
3 319
23.3%
2 228
16.7%
5 26
 
1.9%

Length

2024-05-10T22:58:35.914305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T22:58:36.113440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 461
33.7%
1 335
24.5%
3 319
23.3%
2 228
16.7%
5 26
 
1.9%

자치구명
Categorical

Distinct25
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size10.8 KiB
강북구
163 
용산구
116 
마포구
114 
강동구
102 
강남구
88 
Other values (20)
786 

Length

Max length4
Median length3
Mean length3.0489408
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
강북구 163
 
11.9%
용산구 116
 
8.5%
마포구 114
 
8.3%
강동구 102
 
7.5%
강남구 88
 
6.4%
서초구 80
 
5.8%
노원구 79
 
5.8%
종로구 76
 
5.6%
송파구 71
 
5.2%
관악구 58
 
4.2%
Other values (15) 422
30.8%

Length

2024-05-10T22:58:36.360676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
강북구 163
 
11.9%
용산구 116
 
8.5%
마포구 114
 
8.3%
강동구 102
 
7.5%
강남구 88
 
6.4%
서초구 80
 
5.8%
노원구 79
 
5.8%
종로구 76
 
5.6%
송파구 71
 
5.2%
관악구 58
 
4.2%
Other values (15) 422
30.8%
Distinct211
Distinct (%)15.4%
Missing0
Missing (%)0.0%
Memory size10.8 KiB
2024-05-10T22:58:36.902071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length19
Mean length6.8955442
Min length2

Characters and Unicode

Total characters9440
Distinct characters259
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique55 ?
Unique (%)4.0%

Sample

1st row북한산
2nd row북한산
3rd row북한산
4th row북한산
5th row북한산
ValueCountFrequency (%)
생태경관보전지역 168
 
7.8%
북한산 132
 
6.1%
월드컵공원 104
 
4.8%
한강 95
 
4.4%
산림 50
 
2.3%
인근 41
 
1.9%
방이동 40
 
1.9%
산림지역 34
 
1.6%
상도근린공원 32
 
1.5%
남산 31
 
1.4%
Other values (279) 1422
66.2%
2024-05-10T22:58:37.714178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
780
 
8.3%
603
 
6.4%
434
 
4.6%
363
 
3.8%
325
 
3.4%
247
 
2.6%
237
 
2.5%
233
 
2.5%
222
 
2.4%
220
 
2.3%
Other values (249) 5776
61.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8419
89.2%
Space Separator 780
 
8.3%
Decimal Number 203
 
2.2%
Math Symbol 12
 
0.1%
Open Punctuation 8
 
0.1%
Close Punctuation 8
 
0.1%
Uppercase Letter 8
 
0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
603
 
7.2%
434
 
5.2%
363
 
4.3%
325
 
3.9%
247
 
2.9%
237
 
2.8%
233
 
2.8%
222
 
2.6%
220
 
2.6%
218
 
2.6%
Other values (233) 5317
63.2%
Decimal Number
ValueCountFrequency (%)
1 85
41.9%
2 65
32.0%
3 33
 
16.3%
4 19
 
9.4%
5 1
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
T 2
25.0%
A 2
25.0%
P 2
25.0%
I 1
12.5%
C 1
12.5%
Other Punctuation
ValueCountFrequency (%)
. 1
50.0%
/ 1
50.0%
Space Separator
ValueCountFrequency (%)
780
100.0%
Math Symbol
ValueCountFrequency (%)
~ 12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8419
89.2%
Common 1013
 
10.7%
Latin 8
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
603
 
7.2%
434
 
5.2%
363
 
4.3%
325
 
3.9%
247
 
2.9%
237
 
2.8%
233
 
2.8%
222
 
2.6%
220
 
2.6%
218
 
2.6%
Other values (233) 5317
63.2%
Common
ValueCountFrequency (%)
780
77.0%
1 85
 
8.4%
2 65
 
6.4%
3 33
 
3.3%
4 19
 
1.9%
~ 12
 
1.2%
( 8
 
0.8%
) 8
 
0.8%
. 1
 
0.1%
5 1
 
0.1%
Latin
ValueCountFrequency (%)
T 2
25.0%
A 2
25.0%
P 2
25.0%
I 1
12.5%
C 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8419
89.2%
ASCII 1021
 
10.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
780
76.4%
1 85
 
8.3%
2 65
 
6.4%
3 33
 
3.2%
4 19
 
1.9%
~ 12
 
1.2%
( 8
 
0.8%
) 8
 
0.8%
T 2
 
0.2%
A 2
 
0.2%
Other values (6) 7
 
0.7%
Hangul
ValueCountFrequency (%)
603
 
7.2%
434
 
5.2%
363
 
4.3%
325
 
3.9%
247
 
2.9%
237
 
2.8%
233
 
2.8%
222
 
2.6%
220
 
2.6%
218
 
2.6%
Other values (233) 5317
63.2%

조사연도
Real number (ℝ)

Distinct15
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2007.7911
Minimum2000
Maximum2014
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.2 KiB
2024-05-10T22:58:38.153875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2000
5-th percentile2001
Q12004
median2009
Q32011
95-th percentile2014
Maximum2014
Range14
Interquartile range (IQR)7

Descriptive statistics

Standard deviation4.0600618
Coefficient of variation (CV)0.0020221535
Kurtosis-1.1148801
Mean2007.7911
Median Absolute Deviation (MAD)4
Skewness-0.088015135
Sum2748666
Variance16.484102
MonotonicityNot monotonic
2024-05-10T22:58:38.384844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
2009 317
23.2%
2013 181
13.2%
2004 122
 
8.9%
2005 118
 
8.6%
2001 113
 
8.3%
2014 107
 
7.8%
2003 92
 
6.7%
2007 81
 
5.9%
2012 50
 
3.7%
2008 49
 
3.6%
Other values (5) 139
10.2%
ValueCountFrequency (%)
2000 9
 
0.7%
2001 113
 
8.3%
2002 29
 
2.1%
2003 92
 
6.7%
2004 122
 
8.9%
2005 118
 
8.6%
2006 41
 
3.0%
2007 81
 
5.9%
2008 49
 
3.6%
2009 317
23.2%
ValueCountFrequency (%)
2014 107
 
7.8%
2013 181
13.2%
2012 50
 
3.7%
2011 32
 
2.3%
2010 28
 
2.0%
2009 317
23.2%
2008 49
 
3.6%
2007 81
 
5.9%
2006 41
 
3.0%
2005 118
 
8.6%

조사출처
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.8 KiB
문헌조사
853 
현장조사
516 

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 853
62.3%
현장조사 516
37.7%

Length

2024-05-10T22:58:38.647093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T22:58:38.954081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
문헌조사 853
62.3%
현장조사 516
37.7%
Distinct51
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size10.8 KiB
2024-05-10T22:58:39.394932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length34
Mean length13.479182
Min length1

Characters and Unicode

Total characters18453
Distinct characters150
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.1%

Sample

1st row북한산 국립공원 자원 모니터링
2nd row북한산 국립공원 자원 모니터링
3rd row북한산 국립공원 자원 모니터링
4th row북한산 국립공원 자원 모니터링
5th row북한산 국립공원 자원 모니터링
ValueCountFrequency (%)
243
 
6.0%
모니터링 242
 
6.0%
서울시 161
 
4.0%
연구 161
 
4.0%
생태계 155
 
3.9%
생태경관보전지역 129
 
3.2%
북한산 124
 
3.1%
자원 116
 
2.9%
국립공원 116
 
2.9%
자연생태계 108
 
2.7%
Other values (110) 2462
61.3%
2024-05-10T22:58:40.245129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3680
 
19.9%
783
 
4.2%
728
 
3.9%
619
 
3.4%
520
 
2.8%
517
 
2.8%
511
 
2.8%
366
 
2.0%
344
 
1.9%
334
 
1.8%
Other values (140) 10051
54.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14429
78.2%
Space Separator 3680
 
19.9%
Decimal Number 228
 
1.2%
Other Punctuation 50
 
0.3%
Open Punctuation 33
 
0.2%
Close Punctuation 33
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
783
 
5.4%
728
 
5.0%
619
 
4.3%
520
 
3.6%
517
 
3.6%
511
 
3.5%
366
 
2.5%
344
 
2.4%
334
 
2.3%
308
 
2.1%
Other values (132) 9399
65.1%
Decimal Number
ValueCountFrequency (%)
0 96
42.1%
7 84
36.8%
2 48
21.1%
Other Punctuation
ValueCountFrequency (%)
? 26
52.0%
: 24
48.0%
Space Separator
ValueCountFrequency (%)
3680
100.0%
Open Punctuation
ValueCountFrequency (%)
( 33
100.0%
Close Punctuation
ValueCountFrequency (%)
) 33
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14429
78.2%
Common 4024
 
21.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
783
 
5.4%
728
 
5.0%
619
 
4.3%
520
 
3.6%
517
 
3.6%
511
 
3.5%
366
 
2.5%
344
 
2.4%
334
 
2.3%
308
 
2.1%
Other values (132) 9399
65.1%
Common
ValueCountFrequency (%)
3680
91.5%
0 96
 
2.4%
7 84
 
2.1%
2 48
 
1.2%
( 33
 
0.8%
) 33
 
0.8%
? 26
 
0.6%
: 24
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14429
78.2%
ASCII 4024
 
21.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3680
91.5%
0 96
 
2.4%
7 84
 
2.1%
2 48
 
1.2%
( 33
 
0.8%
) 33
 
0.8%
? 26
 
0.6%
: 24
 
0.6%
Hangul
ValueCountFrequency (%)
783
 
5.4%
728
 
5.0%
619
 
4.3%
520
 
3.6%
517
 
3.6%
511
 
3.5%
366
 
2.5%
344
 
2.4%
334
 
2.3%
308
 
2.1%
Other values (132) 9399
65.1%

x_value
Real number (ℝ)

Distinct202
Distinct (%)14.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean200359.89
Minimum182514.7
Maximum215620.86
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.2 KiB
2024-05-10T22:58:40.501312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum182514.7
5-th percentile189432
Q1194802.18
median199140.2
Q3206645.01
95-th percentile212622.66
Maximum215620.86
Range33106.16
Interquartile range (IQR)11842.836

Descriptive statistics

Standard deviation7530.3065
Coefficient of variation (CV)0.037583902
Kurtosis-0.62147786
Mean200359.89
Median Absolute Deviation (MAD)5457.5
Skewness-0.12957914
Sum2.7429269 × 108
Variance56705516
MonotonicityNot monotonic
2024-05-10T22:58:40.757540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
198426.6 132
 
9.6%
198658.9 91
 
6.6%
190107.9 90
 
6.6%
194604.32129 30
 
2.2%
207170.8 29
 
2.1%
199375.0 28
 
2.0%
210346.19998 27
 
2.0%
212622.656601 27
 
2.0%
204030.250006 27
 
2.0%
199140.2 26
 
1.9%
Other values (192) 862
63.0%
ValueCountFrequency (%)
182514.7 2
 
0.1%
183370.939985 22
1.6%
184149.98 15
1.1%
184311.265 1
 
0.1%
184760.03175 2
 
0.1%
184944.819 2
 
0.1%
185023.030547 1
 
0.1%
185198.44001 2
 
0.1%
185203.11 2
 
0.1%
185425.515 3
 
0.2%
ValueCountFrequency (%)
215620.86001 5
 
0.4%
214256.83001 1
 
0.1%
214034.7 1
 
0.1%
213848.20437 5
 
0.4%
213686.3 8
0.6%
213611.0 17
1.2%
213532.82001 4
 
0.3%
213332.39001 2
 
0.1%
213301.0 4
 
0.3%
213085.8 19
1.4%

y_value
Real number (ℝ)

Distinct202
Distinct (%)14.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean450686.25
Minimum437272.4
Maximum465056.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.2 KiB
2024-05-10T22:58:41.106485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum437272.4
5-th percentile440246.8
Q1445458
median450513.34
Q3454128.57
95-th percentile461398.5
Maximum465056.8
Range27784.4
Interquartile range (IQR)8670.5703

Descriptive statistics

Standard deviation6671.3234
Coefficient of variation (CV)0.014802589
Kurtosis-0.80504745
Mean450686.25
Median Absolute Deviation (MAD)5055.34
Skewness0.21871893
Sum6.1698948 × 108
Variance44506556
MonotonicityNot monotonic
2024-05-10T22:58:41.448634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
461398.5 132
 
9.6%
445458.0 91
 
6.6%
451442.6 90
 
6.6%
443255.19162 30
 
2.2%
440246.8 29
 
2.1%
449747.8 28
 
2.0%
445522.70003 27
 
2.0%
446666.568533 27
 
2.0%
443141.434981 27
 
2.0%
453610.2 26
 
1.9%
Other values (192) 862
63.0%
ValueCountFrequency (%)
437272.4 5
 
0.4%
437564.60003 14
1.0%
437647.6015 2
 
0.1%
438353.39663 4
 
0.3%
438498.2218 1
 
0.1%
438829.15998 1
 
0.1%
438960.4616 2
 
0.1%
439194.8065 3
 
0.2%
439917.09 2
 
0.1%
440098.8 11
0.8%
ValueCountFrequency (%)
465056.8 10
 
0.7%
464769.2 3
 
0.2%
462895.7 16
 
1.2%
462420.2 6
 
0.4%
462313.966345 1
 
0.1%
462155.239413 3
 
0.2%
462150.6 2
 
0.1%
461636.4 2
 
0.1%
461398.5 132
9.6%
461391.168976 1
 
0.1%

특이종범례
Categorical

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size10.8 KiB
서울시보호종
1029 
천연기념물
156 
멸종위기종2급
 
88
멸종위기종2급, 천연기념물
 
83
멸종위기종1급, 천연기념물
 
13

Length

Max length14
Median length6
Mean length6.5113221
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서울시보호종 1029
75.2%
천연기념물 156
 
11.4%
멸종위기종2급 88
 
6.4%
멸종위기종2급, 천연기념물 83
 
6.1%
멸종위기종1급, 천연기념물 13
 
0.9%

Length

2024-05-10T22:58:41.860700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T22:58:42.222709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울시보호종 1029
70.2%
천연기념물 252
 
17.2%
멸종위기종2급 171
 
11.7%
멸종위기종1급 13
 
0.9%

Sample

객체id조사지점종명학명과명우점도우점종여부서울시보호멸종위기1멸종위기2천연기념물고유종서식형태영소길드채이길드유형화자치구명조사지역조사연도조사출처참고문헌x_valuey_value특이종범례
06216328붉은배새매Accipiter soloensis (Horsfield, 1822)수리과000110여름철새수관층임연부1강북구북한산2002문헌조사북한산 국립공원 자원 모니터링198426.6461398.5멸종위기종2급, 천연기념물
16216428붉은배새매Accipiter soloensis (Horsfield, 1822)수리과000110여름철새수관층임연부1강북구북한산2003문헌조사북한산 국립공원 자원 모니터링198426.6461398.5멸종위기종2급, 천연기념물
26216528붉은배새매Accipiter soloensis (Horsfield, 1822)수리과000110여름철새수관층임연부1강북구북한산2003문헌조사북한산 국립공원 자원 모니터링198426.6461398.5멸종위기종2급, 천연기념물
36216628붉은배새매Accipiter soloensis (Horsfield, 1822)수리과000110여름철새수관층임연부1강북구북한산2004문헌조사북한산 국립공원 자원 모니터링198426.6461398.5멸종위기종2급, 천연기념물
46216728붉은배새매Accipiter soloensis (Horsfield, 1822)수리과000110여름철새수관층임연부1강북구북한산2005문헌조사북한산 국립공원 자원 모니터링198426.6461398.5멸종위기종2급, 천연기념물
56216828붉은배새매Accipiter soloensis (Horsfield, 1822)수리과000110여름철새수관층임연부1강북구북한산2005문헌조사북한산 국립공원 자원 모니터링198426.6461398.5멸종위기종2급, 천연기념물
66216956붉은배새매Accipiter soloensis (Horsfield, 1822)수리과000110여름철새수관층임연부3마포구월드컵공원2003문헌조사월드컵공원 자연생태계 모니터링 및 관리방안190107.9451442.6멸종위기종2급, 천연기념물
76217056붉은배새매Accipiter soloensis (Horsfield, 1822)수리과000110여름철새수관층임연부3마포구월드컵공원2004문헌조사월드컵공원 자연생태계 모니터링 및 관리방안190107.9451442.6멸종위기종2급, 천연기념물
86217156붉은배새매Accipiter soloensis (Horsfield, 1822)수리과000110여름철새수관층임연부3마포구월드컵공원2005문헌조사월드컵공원 자연생태계 모니터링 및 관리방안190107.9451442.6멸종위기종2급, 천연기념물
96217256붉은배새매Accipiter soloensis (Horsfield, 1822)수리과000110여름철새수관층임연부3마포구월드컵공원2009문헌조사월드컵공원 자연생태계 모니터링190107.9451442.6멸종위기종2급, 천연기념물
객체id조사지점종명학명과명우점도우점종여부서울시보호멸종위기1멸종위기2천연기념물고유종서식형태영소길드채이길드유형화자치구명조사지역조사연도조사출처참고문헌x_valuey_value특이종범례
13596374673박새Parus major (Linnaeus, 1758)박새과010000텃새나무구멍수관층4용산구한강2012문헌조사제7차 한강 생태계 조사연구198658.9445458.0서울시보호종
13606374773새매Accipiter nisus (Linnaeus, 1758)수리과000110텃새수관층임연부4용산구한강2012문헌조사제7차 한강 생태계 조사연구198658.9445458.0멸종위기종2급, 천연기념물
13616374873새홀리기Falco subbuteo (Linnaeus, 1758)매과000100여름철새수관층임연부4용산구한강2007문헌조사2007년 한강생태계 조사198658.9445458.0멸종위기종2급
13626374973새홀리기Falco subbuteo (Linnaeus, 1758)매과000100여름철새수관층임연부4용산구한강2012문헌조사제7차 한강 생태계 조사연구198658.9445458.0멸종위기종2급
13636375073쇠딱다구리Dendrocopos kizuki (Temminck, 1836)딱다구리과010000텃새나무구멍수관층4용산구한강2007문헌조사2007년 한강생태계 조사198658.9445458.0서울시보호종
13646375173쇠딱다구리Dendrocopos kizuki (Temminck, 1836)딱다구리과010000텃새나무구멍수관층4용산구한강2012문헌조사제7차 한강 생태계 조사연구198658.9445458.0서울시보호종
13656375273오색딱다구리Dendrocopos major (Linnaeus, 1758)딱다구리과010000텃새나무구멍수관층4용산구한강2007문헌조사2007년 한강생태계 조사198658.9445458.0서울시보호종
13666375373오색딱다구리Dendrocopos major (Linnaeus, 1758)딱다구리과010000텃새나무구멍수관층4용산구한강2012문헌조사제7차 한강 생태계 조사연구198658.9445458.0서울시보호종
13676375473원앙Aix galericulata (Linnaeus, 1758)오리과000010텃새수변수면4용산구한강2004문헌조사공원녹지의 효과적인 연결을 위한 기본계획198658.9445458.0천연기념물
13686375573원앙Aix galericulata (Linnaeus, 1758)오리과000010텃새수변수면4용산구한강2012문헌조사겨울철 조류 동시 센서스198658.9445458.0천연기념물