Overview

Dataset statistics

Number of variables29
Number of observations256
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory62.6 KiB
Average record size in memory250.5 B

Variable types

Numeric16
Text2
Categorical11

Dataset

Description객체id,조사지점,출현종,총종수,서울시보호,멸종위기1,멸종위기2,천연기념물,고유종,영소_구멍,영소_수관,영소_관목,영소_가장,영소_기타,채이_수관,채이_관목,채이_수면,채이_임연,채이_기타,조사유형,식생코드,토지코드,식생유형,토지유형,자치구명,조사지역,조사연도,조사출처,종수범례
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-21160/S/1/datasetView.do

Alerts

고유종 has constant value ""Constant
멸종위기1 is highly imbalanced (90.0%)Imbalance
토지유형 is highly imbalanced (53.3%)Imbalance
객체id has unique valuesUnique
조사지점 has unique valuesUnique
서울시보호 has 62 (24.2%) zerosZeros
멸종위기2 has 214 (83.6%) zerosZeros
천연기념물 has 201 (78.5%) zerosZeros
영소_구멍 has 64 (25.0%) zerosZeros
영소_수관 has 12 (4.7%) zerosZeros
영소_관목 has 95 (37.1%) zerosZeros
영소_가장 has 66 (25.8%) zerosZeros
영소_기타 has 132 (51.6%) zerosZeros
채이_수관 has 29 (11.3%) zerosZeros
채이_관목 has 63 (24.6%) zerosZeros
채이_수면 has 200 (78.1%) zerosZeros
채이_임연 has 15 (5.9%) zerosZeros
채이_기타 has 147 (57.4%) zerosZeros

Reproduction

Analysis started2024-05-11 09:41:11.310216
Analysis finished2024-05-11 09:41:12.560714
Duration1.25 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

객체id
Real number (ℝ)

UNIQUE 

Distinct256
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11328.5
Minimum11201
Maximum11456
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-05-11T09:41:12.948154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11201
5-th percentile11213.75
Q111264.75
median11328.5
Q311392.25
95-th percentile11443.25
Maximum11456
Range255
Interquartile range (IQR)127.5

Descriptive statistics

Standard deviation74.045031
Coefficient of variation (CV)0.0065361726
Kurtosis-1.2
Mean11328.5
Median Absolute Deviation (MAD)64
Skewness0
Sum2900096
Variance5482.6667
MonotonicityStrictly increasing
2024-05-11T09:41:13.542621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11201 1
 
0.4%
11330 1
 
0.4%
11364 1
 
0.4%
11365 1
 
0.4%
11366 1
 
0.4%
11367 1
 
0.4%
11368 1
 
0.4%
11369 1
 
0.4%
11370 1
 
0.4%
11371 1
 
0.4%
Other values (246) 246
96.1%
ValueCountFrequency (%)
11201 1
0.4%
11202 1
0.4%
11203 1
0.4%
11204 1
0.4%
11205 1
0.4%
11206 1
0.4%
11207 1
0.4%
11208 1
0.4%
11209 1
0.4%
11210 1
0.4%
ValueCountFrequency (%)
11456 1
0.4%
11455 1
0.4%
11454 1
0.4%
11453 1
0.4%
11452 1
0.4%
11451 1
0.4%
11450 1
0.4%
11449 1
0.4%
11448 1
0.4%
11447 1
0.4%

조사지점
Real number (ℝ)

UNIQUE 

Distinct256
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.5
Minimum1
Maximum256
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-05-11T09:41:14.183992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile13.75
Q164.75
median128.5
Q3192.25
95-th percentile243.25
Maximum256
Range255
Interquartile range (IQR)127.5

Descriptive statistics

Standard deviation74.045031
Coefficient of variation (CV)0.57622592
Kurtosis-1.2
Mean128.5
Median Absolute Deviation (MAD)64
Skewness0
Sum32896
Variance5482.6667
MonotonicityNot monotonic
2024-05-11T09:41:14.737015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
234 1
 
0.4%
39 1
 
0.4%
75 1
 
0.4%
76 1
 
0.4%
77 1
 
0.4%
78 1
 
0.4%
79 1
 
0.4%
80 1
 
0.4%
81 1
 
0.4%
82 1
 
0.4%
Other values (246) 246
96.1%
ValueCountFrequency (%)
1 1
0.4%
2 1
0.4%
3 1
0.4%
4 1
0.4%
5 1
0.4%
6 1
0.4%
7 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
ValueCountFrequency (%)
256 1
0.4%
255 1
0.4%
254 1
0.4%
253 1
0.4%
252 1
0.4%
251 1
0.4%
250 1
0.4%
249 1
0.4%
248 1
0.4%
247 1
0.4%

출현종
Text

Distinct220
Distinct (%)85.9%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2024-05-11T09:41:15.476745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length33.5
Mean length23.996094
Min length2

Characters and Unicode

Total characters6143
Distinct characters122
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique195 ?
Unique (%)76.2%

Sample

1st row검은등뻐꾸기, 까치, 꿩, 노랑딱새, 노랑턱멧새 등
2nd row검은등뻐꾸기, 곤줄박이, 까치, 꿩, 멧비둘기 등
3rd row까마귀, 까치, 박새, 쇠딱따구리, 양비둘기, 등
4th row까마귀, 까치, 꾀꼬리, 꿩, 노랑턱멧새 등
5th row딱새, 산솔새, 쇠박새, 직박구리, 참새
ValueCountFrequency (%)
등 179
 
13.4%
까치 172
 
12.9%
박새 107
 
8.0%
멧비둘기 99
 
7.4%
직박구리 73
 
5.5%
꾀꼬리 66
 
4.9%
꿩 54
 
4.0%
붉은머리오목눈이 47
 
3.5%
참새 44
 
3.3%
곤줄박이 44
 
3.3%
Other values (87) 451
33.8%
2024-05-11T09:41:16.794364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1082
17.6%
, 905
 
14.7%
새 295
 
4.8%
리 266
 
4.3%
박 258
 
4.2%
기 218
 
3.5%
까 214
 
3.5%
등 191
 
3.1%
치 190
 
3.1%
비 162
 
2.6%
Other values (112) 2362
38.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4156
67.7%
Space Separator 1082
 
17.6%
Other Punctuation 905
 
14.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
새 295
 
7.1%
리 266
 
6.4%
박 258
 
6.2%
기 218
 
5.2%
까 214
 
5.1%
등 191
 
4.6%
치 190
 
4.6%
비 162
 
3.9%
둘 133
 
3.2%
멧 115
 
2.8%
Other values (110) 2114
50.9%
Space Separator
ValueCountFrequency (%)
1082
100.0%
Other Punctuation
ValueCountFrequency (%)
, 905
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4156
67.7%
Common 1987
32.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
새 295
 
7.1%
리 266
 
6.4%
박 258
 
6.2%
기 218
 
5.2%
까 214
 
5.1%
등 191
 
4.6%
치 190
 
4.6%
비 162
 
3.9%
둘 133
 
3.2%
멧 115
 
2.8%
Other values (110) 2114
50.9%
Common
ValueCountFrequency (%)
1082
54.5%
, 905
45.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4156
67.7%
ASCII 1987
32.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1082
54.5%
, 905
45.5%
Hangul
ValueCountFrequency (%)
새 295
 
7.1%
리 266
 
6.4%
박 258
 
6.2%
기 218
 
5.2%
까 214
 
5.1%
등 191
 
4.6%
치 190
 
4.6%
비 162
 
3.9%
둘 133
 
3.2%
멧 115
 
2.8%
Other values (110) 2114
50.9%

총종수
Real number (ℝ)

Distinct54
Distinct (%)21.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.835938
Minimum1
Maximum136
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-05-11T09:41:17.276239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median8
Q315
95-th percentile58.5
Maximum136
Range135
Interquartile range (IQR)10

Descriptive statistics

Standard deviation19.505566
Coefficient of variation (CV)1.3147511
Kurtosis12.21597
Mean14.835938
Median Absolute Deviation (MAD)4
Skewness3.1694192
Sum3798
Variance380.4671
MonotonicityNot monotonic
2024-05-11T09:41:17.852332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 25
 
9.8%
8 22
 
8.6%
6 20
 
7.8%
11 18
 
7.0%
4 17
 
6.6%
7 16
 
6.2%
10 13
 
5.1%
3 13
 
5.1%
2 12
 
4.7%
1 10
 
3.9%
Other values (44) 90
35.2%
ValueCountFrequency (%)
1 10
 
3.9%
2 12
4.7%
3 13
5.1%
4 17
6.6%
5 25
9.8%
6 20
7.8%
7 16
6.2%
8 22
8.6%
9 8
 
3.1%
10 13
5.1%
ValueCountFrequency (%)
136 1
0.4%
122 1
0.4%
113 1
0.4%
82 1
0.4%
74 1
0.4%
72 1
0.4%
71 1
0.4%
69 1
0.4%
65 1
0.4%
64 2
0.8%

서울시보호
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.25
Minimum0
Maximum11
Zeros62
Zeros (%)24.2%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-05-11T09:41:18.298918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile7
Maximum11
Range11
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.300895
Coefficient of variation (CV)1.02262
Kurtosis1.4680202
Mean2.25
Median Absolute Deviation (MAD)1
Skewness1.3379555
Sum576
Variance5.2941176
MonotonicityNot monotonic
2024-05-11T09:41:18.664791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 62
24.2%
1 60
23.4%
2 48
18.8%
3 30
11.7%
5 15
 
5.9%
4 15
 
5.9%
7 8
 
3.1%
6 7
 
2.7%
8 5
 
2.0%
9 4
 
1.6%
Other values (2) 2
 
0.8%
ValueCountFrequency (%)
0 62
24.2%
1 60
23.4%
2 48
18.8%
3 30
11.7%
4 15
 
5.9%
5 15
 
5.9%
6 7
 
2.7%
7 8
 
3.1%
8 5
 
2.0%
9 4
 
1.6%
ValueCountFrequency (%)
11 1
 
0.4%
10 1
 
0.4%
9 4
 
1.6%
8 5
 
2.0%
7 8
 
3.1%
6 7
 
2.7%
5 15
 
5.9%
4 15
 
5.9%
3 30
11.7%
2 48
18.8%

멸종위기1
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
0
251 
1
 
3
2
 
2

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 (%)
0 251
98.0%
1 3
 
1.2%
2 2
 
0.8%

Length

2024-05-11T09:41:19.070081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:41:19.405845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 251
98.0%
1 3
 
1.2%
2 2
 
0.8%

멸종위기2
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.32421875
Minimum0
Maximum11
Zeros214
Zeros (%)83.6%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-05-11T09:41:19.757407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum11
Range11
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.1514524
Coefficient of variation (CV)3.5514675
Kurtosis43.104152
Mean0.32421875
Median Absolute Deviation (MAD)0
Skewness6.0360181
Sum83
Variance1.3258425
MonotonicityNot monotonic
2024-05-11T09:41:20.134864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 214
83.6%
1 30
 
11.7%
2 6
 
2.3%
11 1
 
0.4%
5 1
 
0.4%
6 1
 
0.4%
8 1
 
0.4%
4 1
 
0.4%
7 1
 
0.4%
ValueCountFrequency (%)
0 214
83.6%
1 30
 
11.7%
2 6
 
2.3%
4 1
 
0.4%
5 1
 
0.4%
6 1
 
0.4%
7 1
 
0.4%
8 1
 
0.4%
11 1
 
0.4%
ValueCountFrequency (%)
11 1
 
0.4%
8 1
 
0.4%
7 1
 
0.4%
6 1
 
0.4%
5 1
 
0.4%
4 1
 
0.4%
2 6
 
2.3%
1 30
 
11.7%
0 214
83.6%

천연기념물
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4921875
Minimum0
Maximum11
Zeros201
Zeros (%)78.5%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-05-11T09:41:20.629045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum11
Range11
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.4389326
Coefficient of variation (CV)2.9235456
Kurtosis24.644672
Mean0.4921875
Median Absolute Deviation (MAD)0
Skewness4.6164522
Sum126
Variance2.070527
MonotonicityNot monotonic
2024-05-11T09:41:21.133141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 201
78.5%
1 32
 
12.5%
2 12
 
4.7%
5 4
 
1.6%
8 2
 
0.8%
4 1
 
0.4%
11 1
 
0.4%
3 1
 
0.4%
6 1
 
0.4%
10 1
 
0.4%
ValueCountFrequency (%)
0 201
78.5%
1 32
 
12.5%
2 12
 
4.7%
3 1
 
0.4%
4 1
 
0.4%
5 4
 
1.6%
6 1
 
0.4%
8 2
 
0.8%
10 1
 
0.4%
11 1
 
0.4%
ValueCountFrequency (%)
11 1
 
0.4%
10 1
 
0.4%
8 2
 
0.8%
6 1
 
0.4%
5 4
 
1.6%
4 1
 
0.4%
3 1
 
0.4%
2 12
 
4.7%
1 32
 
12.5%
0 201
78.5%

고유종
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
0
256 

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 (%)
0 256
100.0%

Length

2024-05-11T09:41:21.773982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:41:22.193543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 256
100.0%

영소_구멍
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.6914062
Minimum0
Maximum18
Zeros64
Zeros (%)25.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-05-11T09:41:22.573568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.75
median2
Q34
95-th percentile9
Maximum18
Range18
Interquartile range (IQR)3.25

Descriptive statistics

Standard deviation2.9309846
Coefficient of variation (CV)1.0890161
Kurtosis3.0002699
Mean2.6914062
Median Absolute Deviation (MAD)2
Skewness1.5710753
Sum689
Variance8.590671
MonotonicityNot monotonic
2024-05-11T09:41:23.216080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 64
25.0%
1 52
20.3%
2 39
15.2%
3 28
10.9%
4 22
 
8.6%
5 12
 
4.7%
8 10
 
3.9%
7 8
 
3.1%
10 8
 
3.1%
6 7
 
2.7%
Other values (3) 6
 
2.3%
ValueCountFrequency (%)
0 64
25.0%
1 52
20.3%
2 39
15.2%
3 28
10.9%
4 22
 
8.6%
5 12
 
4.7%
6 7
 
2.7%
7 8
 
3.1%
8 10
 
3.9%
9 2
 
0.8%
ValueCountFrequency (%)
18 1
 
0.4%
11 3
 
1.2%
10 8
 
3.1%
9 2
 
0.8%
8 10
 
3.9%
7 8
 
3.1%
6 7
 
2.7%
5 12
4.7%
4 22
8.6%
3 28
10.9%

영소_수관
Real number (ℝ)

ZEROS 

Distinct26
Distinct (%)10.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.28125
Minimum0
Maximum47
Zeros12
Zeros (%)4.7%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-05-11T09:41:23.869484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q36
95-th percentile17
Maximum47
Range47
Interquartile range (IQR)4

Descriptive statistics

Standard deviation5.9275859
Coefficient of variation (CV)1.1223831
Kurtosis15.843178
Mean5.28125
Median Absolute Deviation (MAD)1
Skewness3.3309666
Sum1352
Variance35.136275
MonotonicityNot monotonic
2024-05-11T09:41:24.645555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
3 50
19.5%
2 43
16.8%
4 36
14.1%
1 25
9.8%
5 21
8.2%
6 14
 
5.5%
0 12
 
4.7%
7 9
 
3.5%
11 6
 
2.3%
9 6
 
2.3%
Other values (16) 34
13.3%
ValueCountFrequency (%)
0 12
 
4.7%
1 25
9.8%
2 43
16.8%
3 50
19.5%
4 36
14.1%
5 21
8.2%
6 14
 
5.5%
7 9
 
3.5%
8 5
 
2.0%
9 6
 
2.3%
ValueCountFrequency (%)
47 1
 
0.4%
42 1
 
0.4%
27 1
 
0.4%
25 1
 
0.4%
23 1
 
0.4%
22 2
0.8%
21 1
 
0.4%
19 2
0.8%
18 1
 
0.4%
17 3
1.2%

영소_관목
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.2578125
Minimum0
Maximum25
Zeros95
Zeros (%)37.1%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-05-11T09:41:25.197812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile11
Maximum25
Range25
Interquartile range (IQR)2

Descriptive statistics

Standard deviation3.8302124
Coefficient of variation (CV)1.6964262
Kurtosis10.223464
Mean2.2578125
Median Absolute Deviation (MAD)1
Skewness2.9517284
Sum578
Variance14.670527
MonotonicityNot monotonic
2024-05-11T09:41:25.932489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 95
37.1%
1 69
27.0%
2 32
 
12.5%
3 20
 
7.8%
8 7
 
2.7%
5 5
 
2.0%
4 4
 
1.6%
7 3
 
1.2%
6 3
 
1.2%
15 3
 
1.2%
Other values (10) 15
 
5.9%
ValueCountFrequency (%)
0 95
37.1%
1 69
27.0%
2 32
 
12.5%
3 20
 
7.8%
4 4
 
1.6%
5 5
 
2.0%
6 3
 
1.2%
7 3
 
1.2%
8 7
 
2.7%
9 2
 
0.8%
ValueCountFrequency (%)
25 1
 
0.4%
23 1
 
0.4%
17 1
 
0.4%
16 1
 
0.4%
15 3
1.2%
14 1
 
0.4%
13 2
0.8%
12 1
 
0.4%
11 3
1.2%
10 2
0.8%

영소_가장
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3789062
Minimum0
Maximum5
Zeros66
Zeros (%)25.8%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-05-11T09:41:26.287367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile4
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.1786434
Coefficient of variation (CV)0.85476692
Kurtosis0.3965372
Mean1.3789062
Median Absolute Deviation (MAD)1
Skewness0.80719638
Sum353
Variance1.3892004
MonotonicityNot monotonic
2024-05-11T09:41:26.607953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 84
32.8%
2 69
27.0%
0 66
25.8%
3 21
 
8.2%
4 12
 
4.7%
5 4
 
1.6%
ValueCountFrequency (%)
0 66
25.8%
1 84
32.8%
2 69
27.0%
3 21
 
8.2%
4 12
 
4.7%
5 4
 
1.6%
ValueCountFrequency (%)
5 4
 
1.6%
4 12
 
4.7%
3 21
 
8.2%
2 69
27.0%
1 84
32.8%
0 66
25.8%

영소_기타
Real number (ℝ)

ZEROS 

Distinct27
Distinct (%)10.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.2148438
Minimum0
Maximum67
Zeros132
Zeros (%)51.6%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-05-11T09:41:27.017867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile20.25
Maximum67
Range67
Interquartile range (IQR)2

Descriptive statistics

Standard deviation8.3687522
Coefficient of variation (CV)2.6031599
Kurtosis20.571927
Mean3.2148438
Median Absolute Deviation (MAD)0
Skewness4.1788096
Sum823
Variance70.036014
MonotonicityNot monotonic
2024-05-11T09:41:27.346030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0 132
51.6%
1 54
21.1%
2 19
 
7.4%
3 9
 
3.5%
4 6
 
2.3%
5 6
 
2.3%
6 4
 
1.6%
12 3
 
1.2%
13 3
 
1.2%
26 2
 
0.8%
Other values (17) 18
 
7.0%
ValueCountFrequency (%)
0 132
51.6%
1 54
21.1%
2 19
 
7.4%
3 9
 
3.5%
4 6
 
2.3%
5 6
 
2.3%
6 4
 
1.6%
9 1
 
0.4%
10 1
 
0.4%
11 1
 
0.4%
ValueCountFrequency (%)
67 1
0.4%
45 1
0.4%
43 1
0.4%
42 1
0.4%
38 1
0.4%
34 1
0.4%
29 1
0.4%
28 1
0.4%
26 2
0.8%
24 1
0.4%

채이_수관
Real number (ℝ)

ZEROS 

Distinct29
Distinct (%)11.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.2929688
Minimum0
Maximum40
Zeros29
Zeros (%)11.3%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-05-11T09:41:27.749479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q36
95-th percentile18.25
Maximum40
Range40
Interquartile range (IQR)5

Descriptive statistics

Standard deviation6.0472088
Coefficient of variation (CV)1.1424985
Kurtosis6.8200441
Mean5.2929688
Median Absolute Deviation (MAD)3
Skewness2.3430048
Sum1355
Variance36.568735
MonotonicityNot monotonic
2024-05-11T09:41:28.205771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
1 38
14.8%
3 31
12.1%
0 29
11.3%
2 28
10.9%
5 27
10.5%
4 27
10.5%
7 15
 
5.9%
6 13
 
5.1%
8 7
 
2.7%
9 5
 
2.0%
Other values (19) 36
14.1%
ValueCountFrequency (%)
0 29
11.3%
1 38
14.8%
2 28
10.9%
3 31
12.1%
4 27
10.5%
5 27
10.5%
6 13
 
5.1%
7 15
 
5.9%
8 7
 
2.7%
9 5
 
2.0%
ValueCountFrequency (%)
40 1
 
0.4%
31 1
 
0.4%
28 1
 
0.4%
27 1
 
0.4%
25 1
 
0.4%
23 1
 
0.4%
22 2
0.8%
21 3
1.2%
20 1
 
0.4%
19 1
 
0.4%

채이_관목
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.3789062
Minimum0
Maximum20
Zeros63
Zeros (%)24.6%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-05-11T09:41:28.599081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1.5
Q33
95-th percentile9.25
Maximum20
Range20
Interquartile range (IQR)2

Descriptive statistics

Standard deviation3.1350305
Coefficient of variation (CV)1.3178453
Kurtosis8.0511436
Mean2.3789062
Median Absolute Deviation (MAD)1.5
Skewness2.6060501
Sum609
Variance9.8284161
MonotonicityNot monotonic
2024-05-11T09:41:28.982421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
1 65
25.4%
0 63
24.6%
2 57
22.3%
3 25
 
9.8%
4 10
 
3.9%
5 10
 
3.9%
6 5
 
2.0%
9 5
 
2.0%
11 4
 
1.6%
7 2
 
0.8%
Other values (7) 10
 
3.9%
ValueCountFrequency (%)
0 63
24.6%
1 65
25.4%
2 57
22.3%
3 25
 
9.8%
4 10
 
3.9%
5 10
 
3.9%
6 5
 
2.0%
7 2
 
0.8%
8 1
 
0.4%
9 5
 
2.0%
ValueCountFrequency (%)
20 1
 
0.4%
17 1
 
0.4%
15 2
 
0.8%
13 1
 
0.4%
12 2
 
0.8%
11 4
1.6%
10 2
 
0.8%
9 5
2.0%
8 1
 
0.4%
7 2
 
0.8%

채이_수면
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.7109375
Minimum0
Maximum54
Zeros200
Zeros (%)78.1%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-05-11T09:41:29.610221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile13.25
Maximum54
Range54
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.8853788
Coefficient of variation (CV)3.4398561
Kurtosis32.116103
Mean1.7109375
Median Absolute Deviation (MAD)0
Skewness5.1163703
Sum438
Variance34.637684
MonotonicityNot monotonic
2024-05-11T09:41:29.996880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 200
78.1%
1 19
 
7.4%
2 9
 
3.5%
3 7
 
2.7%
18 4
 
1.6%
9 3
 
1.2%
7 2
 
0.8%
19 2
 
0.8%
13 2
 
0.8%
4 1
 
0.4%
Other values (7) 7
 
2.7%
ValueCountFrequency (%)
0 200
78.1%
1 19
 
7.4%
2 9
 
3.5%
3 7
 
2.7%
4 1
 
0.4%
7 2
 
0.8%
9 3
 
1.2%
13 2
 
0.8%
14 1
 
0.4%
17 1
 
0.4%
ValueCountFrequency (%)
54 1
 
0.4%
33 1
 
0.4%
31 1
 
0.4%
30 1
 
0.4%
20 1
 
0.4%
19 2
0.8%
18 4
1.6%
17 1
 
0.4%
14 1
 
0.4%
13 2
0.8%

채이_임연
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)8.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.0507812
Minimum0
Maximum42
Zeros15
Zeros (%)5.9%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-05-11T09:41:30.370492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q34
95-th percentile13
Maximum42
Range42
Interquartile range (IQR)2

Descriptive statistics

Standard deviation4.8443781
Coefficient of variation (CV)1.1959121
Kurtosis21.309895
Mean4.0507812
Median Absolute Deviation (MAD)1
Skewness3.8331806
Sum1037
Variance23.467999
MonotonicityNot monotonic
2024-05-11T09:41:30.736470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
2 65
25.4%
3 49
19.1%
1 41
16.0%
4 29
11.3%
0 15
 
5.9%
5 11
 
4.3%
10 7
 
2.7%
9 7
 
2.7%
7 5
 
2.0%
6 5
 
2.0%
Other values (11) 22
 
8.6%
ValueCountFrequency (%)
0 15
 
5.9%
1 41
16.0%
2 65
25.4%
3 49
19.1%
4 29
11.3%
5 11
 
4.3%
6 5
 
2.0%
7 5
 
2.0%
8 4
 
1.6%
9 7
 
2.7%
ValueCountFrequency (%)
42 1
 
0.4%
34 1
 
0.4%
26 1
 
0.4%
18 1
 
0.4%
17 1
 
0.4%
16 3
1.2%
15 2
 
0.8%
14 1
 
0.4%
13 5
2.0%
12 2
 
0.8%

채이_기타
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.390625
Minimum0
Maximum16
Zeros147
Zeros (%)57.4%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-05-11T09:41:31.077655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile8
Maximum16
Range16
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.6634325
Coefficient of variation (CV)1.9152773
Kurtosis7.8032595
Mean1.390625
Median Absolute Deviation (MAD)0
Skewness2.699575
Sum356
Variance7.0938725
MonotonicityNot monotonic
2024-05-11T09:41:31.453879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 147
57.4%
1 53
 
20.7%
3 17
 
6.6%
4 9
 
3.5%
2 7
 
2.7%
8 6
 
2.3%
7 4
 
1.6%
9 3
 
1.2%
10 3
 
1.2%
5 2
 
0.8%
Other values (5) 5
 
2.0%
ValueCountFrequency (%)
0 147
57.4%
1 53
 
20.7%
2 7
 
2.7%
3 17
 
6.6%
4 9
 
3.5%
5 2
 
0.8%
6 1
 
0.4%
7 4
 
1.6%
8 6
 
2.3%
9 3
 
1.2%
ValueCountFrequency (%)
16 1
 
0.4%
14 1
 
0.4%
12 1
 
0.4%
11 1
 
0.4%
10 3
1.2%
9 3
1.2%
8 6
2.3%
7 4
1.6%
6 1
 
0.4%
5 2
 
0.8%

조사유형
Categorical

Distinct4
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
선
124 
119 
점/선
 
8
점
 
5

Length

Max length3
Median length1
Mean length1.0625
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
선 124
48.4%
119
46.5%
점/선 8
 
3.1%
점 5
 
2.0%

Length

2024-05-11T09:41:31.992012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:41:32.375233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
선 124
90.5%
점/선 8
 
5.8%
점 5
 
3.6%

식생코드
Categorical

Distinct24
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
B
57 
F
48 
A1
29 
C7
20 
N
17 
Other values (19)
85 

Length

Max length2
Median length1
Mean length1.2617188
Min length1

Unique

Unique5 ?
Unique (%)2.0%

Sample

1st rowB
2nd rowM
3rd rowB
4th rowB
5th rowF

Common Values

ValueCountFrequency (%)
B 57
22.3%
F 48
18.8%
A1 29
11.3%
C7 20
 
7.8%
N 17
 
6.6%
M 14
 
5.5%
C 11
 
4.3%
D 10
 
3.9%
A2 9
 
3.5%
K 7
 
2.7%
Other values (14) 34
13.3%

Length

2024-05-11T09:41:32.726535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
b 57
22.3%
f 48
18.8%
a1 29
11.3%
c7 20
 
7.8%
n 17
 
6.6%
m 14
 
5.5%
c 11
 
4.3%
d 10
 
3.9%
a2 9
 
3.5%
k 7
 
2.7%
Other values (14) 34
13.3%

토지코드
Categorical

Distinct26
Distinct (%)10.2%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
I1
111 
I7
49 
J1
21 
D1
12 
E2
 
11
Other values (21)
52 

Length

Max length3
Median length2
Mean length2.0234375
Min length1

Unique

Unique10 ?
Unique (%)3.9%

Sample

1st rowI7
2nd rowI1
3rd rowI7
4th rowI7
5th rowI1

Common Values

ValueCountFrequency (%)
I1 111
43.4%
I7 49
19.1%
J1 21
 
8.2%
D1 12
 
4.7%
E2 11
 
4.3%
J2 9
 
3.5%
I3 7
 
2.7%
G1 4
 
1.6%
A2 4
 
1.6%
I15 3
 
1.2%
Other values (16) 25
 
9.8%

Length

2024-05-11T09:41:33.289992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
i1 111
43.4%
i7 49
19.1%
j1 21
 
8.2%
d1 12
 
4.7%
e2 11
 
4.3%
j2 9
 
3.5%
i3 7
 
2.7%
g1 4
 
1.6%
a2 4
 
1.6%
i15 3
 
1.2%
Other values (16) 25
 
9.8%

식생유형
Categorical

Distinct20
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
조경수목식재지
57 
아까시나무림
48 
시가화지역
29 
참나무림
26 
수면
20 
Other values (15)
76 

Length

Max length11
Median length6
Mean length4.9648438
Min length2

Unique

Unique3 ?
Unique (%)1.2%

Sample

1st row조경수목식재지
2nd row소나무림
3rd row조경수목식재지
4th row조경수목식재지
5th row아까시나무림

Common Values

ValueCountFrequency (%)
조경수목식재지 57
22.3%
아까시나무림 48
18.8%
시가화지역 29
11.3%
참나무림 26
10.2%
수면 20
 
7.8%
소나무림 14
 
5.5%
초지 11
 
4.3%
경작지 10
 
3.9%
도로 9
 
3.5%
리기다소나무림 7
 
2.7%
Other values (10) 25
9.8%

Length

2024-05-11T09:41:33.802102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
조경수목식재지 57
22.1%
아까시나무림 48
18.6%
시가화지역 29
11.2%
참나무림 26
10.1%
수면 20
 
7.8%
소나무림 14
 
5.4%
초지 11
 
4.3%
경작지 10
 
3.9%
도로 9
 
3.5%
리기다소나무림 7
 
2.7%
Other values (12) 27
10.5%

토지유형
Categorical

IMBALANCE 

Distinct11
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
녹지 및 오픈스페이스
182 
하천 및 호소
31 
공공용도지
 
12
교통시설지
 
11
주택지
 
5
Other values (6)
 
15

Length

Max length11
Median length11
Mean length9.515625
Min length2

Unique

Unique1 ?
Unique (%)0.4%

Sample

1st row녹지 및 오픈스페이스
2nd row녹지 및 오픈스페이스
3rd row녹지 및 오픈스페이스
4th row녹지 및 오픈스페이스
5th row녹지 및 오픈스페이스

Common Values

ValueCountFrequency (%)
녹지 및 오픈스페이스 182
71.1%
하천 및 호소 31
 
12.1%
공공용도지 12
 
4.7%
교통시설지 11
 
4.3%
주택지 5
 
2.0%
나지 4
 
1.6%
특수지역 3
 
1.2%
주거 및 상업혼합지 3
 
1.2%
도시부양시설지 2
 
0.8%
상업 및 업무시설지 2
 
0.8%

Length

2024-05-11T09:41:34.207154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
및 218
31.5%
녹지 182
26.3%
오픈스페이스 182
26.3%
하천 31
 
4.5%
호소 31
 
4.5%
공공용도지 12
 
1.7%
교통시설지 11
 
1.6%
주택지 5
 
0.7%
나지 4
 
0.6%
특수지역 3
 
0.4%
Other values (6) 13
 
1.9%

자치구명
Categorical

Distinct25
Distinct (%)9.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
강남구
19 
노원구
18 
강동구
 
17
서초구
 
16
강북구
 
13
Other values (20)
173 

Length

Max length4
Median length3
Mean length3.0664062
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row용산구
2nd row용산구
3rd row강북구
4th row성북구
5th row중구

Common Values

ValueCountFrequency (%)
강남구 19
 
7.4%
노원구 18
 
7.0%
강동구 17
 
6.6%
서초구 16
 
6.2%
강북구 13
 
5.1%
중랑구 12
 
4.7%
송파구 12
 
4.7%
금천구 11
 
4.3%
종로구 11
 
4.3%
영등포구 10
 
3.9%
Other values (15) 117
45.7%

Length

2024-05-11T09:41:34.618807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
강남구 19
 
7.4%
노원구 18
 
7.0%
강동구 17
 
6.6%
서초구 16
 
6.2%
강북구 13
 
5.1%
중랑구 12
 
4.7%
송파구 12
 
4.7%
금천구 11
 
4.3%
종로구 11
 
4.3%
영등포구 10
 
3.9%
Other values (15) 117
45.7%

조사지역
Text

Distinct255
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2024-05-11T09:41:35.117414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length17
Mean length8.65625
Min length2

Characters and Unicode

Total characters2216
Distinct characters283
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique254 ?
Unique (%)99.2%

Sample

1st row남산1
2nd row남산2
3rd row우이동솔밭공원2
4th row개운산1
5th row남산4
ValueCountFrequency (%)
산림 26
 
5.5%
옆 9
 
1.9%
인근 8
 
1.7%
뒤 8
 
1.7%
주변 8
 
1.7%
산림지역 7
 
1.5%
생태경관보전지역 7
 
1.5%
양재천 6
 
1.3%
경작지 6
 
1.3%
근린공원 6
 
1.3%
Other values (330) 382
80.8%
2024-05-11T09:41:36.078675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
217
 
9.8%
산 125
 
5.6%
원 91
 
4.1%
공 78
 
3.5%
동 55
 
2.5%
지 49
 
2.2%
천 45
 
2.0%
림 45
 
2.0%
근 44
 
2.0%
린 37
 
1.7%
Other values (273) 1430
64.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1898
85.6%
Space Separator 217
 
9.8%
Decimal Number 63
 
2.8%
Math Symbol 15
 
0.7%
Dash Punctuation 10
 
0.5%
Uppercase Letter 5
 
0.2%
Close Punctuation 2
 
0.1%
Open Punctuation 2
 
0.1%
Other Punctuation 2
 
0.1%
Lowercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 125
 
6.6%
원 91
 
4.8%
공 78
 
4.1%
동 55
 
2.9%
지 49
 
2.6%
천 45
 
2.4%
림 45
 
2.4%
근 44
 
2.3%
린 37
 
1.9%
교 32
 
1.7%
Other values (253) 1297
68.3%
Decimal Number
ValueCountFrequency (%)
1 21
33.3%
2 20
31.7%
3 15
23.8%
4 5
 
7.9%
6 1
 
1.6%
5 1
 
1.6%
Uppercase Letter
ValueCountFrequency (%)
T 1
20.0%
P 1
20.0%
A 1
20.0%
C 1
20.0%
I 1
20.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
50.0%
. 1
50.0%
Lowercase Letter
ValueCountFrequency (%)
s 1
50.0%
k 1
50.0%
Space Separator
ValueCountFrequency (%)
217
100.0%
Math Symbol
ValueCountFrequency (%)
~ 15
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1898
85.6%
Common 311
 
14.0%
Latin 7
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 125
 
6.6%
원 91
 
4.8%
공 78
 
4.1%
동 55
 
2.9%
지 49
 
2.6%
천 45
 
2.4%
림 45
 
2.4%
근 44
 
2.3%
린 37
 
1.9%
교 32
 
1.7%
Other values (253) 1297
68.3%
Common
ValueCountFrequency (%)
217
69.8%
1 21
 
6.8%
2 20
 
6.4%
3 15
 
4.8%
~ 15
 
4.8%
- 10
 
3.2%
4 5
 
1.6%
) 2
 
0.6%
( 2
 
0.6%
/ 1
 
0.3%
Other values (3) 3
 
1.0%
Latin
ValueCountFrequency (%)
T 1
14.3%
P 1
14.3%
A 1
14.3%
s 1
14.3%
k 1
14.3%
C 1
14.3%
I 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1898
85.6%
ASCII 318
 
14.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
217
68.2%
1 21
 
6.6%
2 20
 
6.3%
3 15
 
4.7%
~ 15
 
4.7%
- 10
 
3.1%
4 5
 
1.6%
) 2
 
0.6%
( 2
 
0.6%
T 1
 
0.3%
Other values (10) 10
 
3.1%
Hangul
ValueCountFrequency (%)
산 125
 
6.6%
원 91
 
4.8%
공 78
 
4.1%
동 55
 
2.9%
지 49
 
2.6%
천 45
 
2.4%
림 45
 
2.4%
근 44
 
2.3%
린 37
 
1.9%
교 32
 
1.7%
Other values (253) 1297
68.3%

조사연도
Categorical

Distinct40
Distinct (%)15.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2014
65 
2009, 2013
51 
2013
33 
2009, 2014
15 
2009
13 
Other values (35)
79 

Length

Max length34
Median length4
Mean length7
Min length4

Unique

Unique25 ?
Unique (%)9.8%

Sample

1st row2013
2nd row2013
3rd row2005
4th row2009, 2013
5th row2013

Common Values

ValueCountFrequency (%)
2014 65
25.4%
2009, 2013 51
19.9%
2013 33
12.9%
2009, 2014 15
 
5.9%
2009 13
 
5.1%
2001 13
 
5.1%
2002 13
 
5.1%
2003 8
 
3.1%
2004 5
 
2.0%
2005 4
 
1.6%
Other values (30) 36
14.1%

Length

2024-05-11T09:41:36.519820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2013 87
22.7%
2009 86
22.4%
2014 84
21.9%
2001 28
 
7.3%
2004 18
 
4.7%
2002 15
 
3.9%
2003 14
 
3.6%
2005 13
 
3.4%
2007 12
 
3.1%
2010 7
 
1.8%
Other values (5) 20
 
5.2%

조사출처
Categorical

Distinct3
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
현장조사
173 
문헌조사
78 
문헌조사, 현장조사
 
5

Length

Max length10
Median length4
Mean length4.1171875
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
현장조사 173
67.6%
문헌조사 78
30.5%
문헌조사, 현장조사 5
 
2.0%

Length

2024-05-11T09:41:37.011774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:41:37.436865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
현장조사 178
68.2%
문헌조사 83
31.8%

종수범례
Categorical

Distinct5
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
6~10종
79 
5종이하
77 
11~20종
56 
31종이상
32 
21~30종
12 

Length

Max length6
Median length5
Mean length4.9648438
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row11~20종
2nd row11~20종
3rd row6~10종
4th row11~20종
5th row5종이하

Common Values

ValueCountFrequency (%)
6~10종 79
30.9%
5종이하 77
30.1%
11~20종 56
21.9%
31종이상 32
12.5%
21~30종 12
 
4.7%

Length

2024-05-11T09:41:38.099701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:41:38.667143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
6~10종 79
30.9%
5종이하 77
30.1%
11~20종 56
21.9%
31종이상 32
12.5%
21~30종 12
 
4.7%

Sample

객체id조사지점출현종총종수서울시보호멸종위기1멸종위기2천연기념물고유종영소_구멍영소_수관영소_관목영소_가장영소_기타채이_수관채이_관목채이_수면채이_임연채이_기타조사유형식생코드토지코드식생유형토지유형자치구명조사지역조사연도조사출처종수범례
011201234검은등뻐꾸기, 까치, 꿩, 노랑딱새, 노랑턱멧새 등15300003631274031BI7조경수목식재지녹지 및 오픈스페이스용산구남산12013현장조사11~20종
111202235검은등뻐꾸기, 곤줄박이, 까치, 꿩, 멧비둘기 등14200003630274021MI1소나무림녹지 및 오픈스페이스용산구남산22013현장조사11~20종
211203236까마귀, 까치, 박새, 쇠딱따구리, 양비둘기, 등7200002302030040BI7조경수목식재지녹지 및 오픈스페이스강북구우이동솔밭공원22005문헌조사6~10종
311204237까마귀, 까치, 꾀꼬리, 꿩, 노랑턱멧새 등16200002751165050선BI7조경수목식재지녹지 및 오픈스페이스성북구개운산12009, 2013현장조사11~20종
411205238딱새, 산솔새, 쇠박새, 직박구리, 참새5000001112030020FI1아까시나무림녹지 및 오픈스페이스중구남산42013현장조사5종이하
511206239까치, 꿩, 노랑딱새, 동고비, 박새 등9100002430052020NI1참나무림녹지 및 오픈스페이스중구남산32013현장조사6~10종
611207240개똥지빠귀, 까치, 노랑턱멧새, 멧비둘기, 물까치 등11100001531143040FI1아까시나무림녹지 및 오픈스페이스서대문구백련산32013현장조사11~20종
711208241개똥지빠귀, 곤줄박이, 까치, 꾀꼬리, 꿩 등3150010811741156091FI1아까시나무림녹지 및 오픈스페이스은평구봉산 생태경관보전지역2009문헌조사31종이상
811209242말똥가리, 멧비둘기, 박새, 새홀리기, 직박구리 등6101001401021030BI7조경수목식재지녹지 및 오픈스페이스노원구불암산근린공원2009, 2013현장조사6~10종
911210243까치, 꾀꼬리, 노랑딱새, 멧비둘기, 쇠박새 등10200002601152030WI1기타산림녹지 및 오픈스페이스강북구오패산32013현장조사6~10종
객체id조사지점출현종총종수서울시보호멸종위기1멸종위기2천연기념물고유종영소_구멍영소_수관영소_관목영소_가장영소_기타채이_수관채이_관목채이_수면채이_임연채이_기타조사유형식생코드토지코드식생유형토지유형자치구명조사지역조사연도조사출처종수범례
24611447201까치, 쇠박새, 어치, 직박구리, 집비둘기 등12300003512153040선FI1아까시나무림녹지 및 오픈스페이스도봉구초안산근린공원12009, 2013현장조사11~20종
24711448202까치, 멧비둘기, 쇠박새, 직박구리, 참새6000001302021030선A1D1시가화지역공공용도지서대문구추계예술대학교2009, 2013현장조사6~10종
24811449203멧비둘기, 쇠박새, 직박구리, 집비둘기, 참새 등8000001322032030선BI7조경수목식재지녹지 및 오픈스페이스종로구탑골공원2009, 2013현장조사6~10종
24911450204까치, 직박구리, 참새3000000201010020선A1D1시가화지역공공용도지금천구탑동초등학교2014현장조사5종이하
25011451205까치, 직박구리, 집비둘기, 참새4000000202010030선BI7조경수목식재지녹지 및 오픈스페이스양천구파리공원 조경수목식재지2014현장조사5종이하
25111452206까치, 박새, 붉은머리오목눈이, 직박구리, 참새5100001211021020선BI7조경수목식재지녹지 및 오픈스페이스도봉구평화도봉공원2009, 2013현장조사5종이하
25211453207까치, 붉은머리오목눈이, 직박구리, 집비둘기, 참새5000000212011030선BF2조경수목식재지도시부양시설지송파구풍납사거리 옆 초지공원2014현장조사5종이하
25311454209까치, 붉은머리오목눈이, 뻐꾸기, 직박구리, 집비둘기5000000211111021선BI10조경수목식재지녹지 및 오픈스페이스구로구항동저수지 뒤 경작지2014현장조사5종이하
25411455210까치, 꾀꼬리, 동고비, 박새, 붉은머리오목눈이 등10200102520151031선BI7조경수목식재지녹지 및 오픈스페이스강동구허브천문공원 옆 묵밭 초지2014현장조사6~10종
25511456211까치, 꾀꼬리, 멧비둘기 ,박새, 쇠박새 등7200002401041020선BI7조경수목식재지녹지 및 오픈스페이스동대문구홍릉공원주변2009, 2013현장조사6~10종