Overview

Dataset statistics

Number of variables8
Number of observations572
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory37.6 KiB
Average record size in memory67.2 B

Variable types

Text2
Categorical1
Numeric3
DateTime2

Dataset

Description경기도 수원시 관내 녹지현황에 대한 데이터로 녹지등록명, 녹지구분, 녹지위치, 위도, 경도, 면적, 결정일자 정보를 제공합니다
URLhttps://www.data.go.kr/data/15004787/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
위도 is highly skewed (γ1 = 23.91652149)Skewed
녹지등록명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 08:37:36.948464
Analysis finished2023-12-12 08:37:39.190707
Duration2.24 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

녹지등록명
Text

UNIQUE 

Distinct572
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
2023-12-12T17:37:39.526929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length10
Mean length10.590909
Min length8

Characters and Unicode

Total characters6058
Distinct characters36
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

Unique572 ?
Unique (%)100.0%

Sample

1st row연결녹지 제3호
2nd row연결녹지 제8호
3rd row연결녹지 제9호
4th row연결녹지 제10호
5th row연결녹지 제11호
ValueCountFrequency (%)
완충녹지 459
40.1%
경관녹지 82
 
7.2%
연결녹지 31
 
2.7%
제18호 2
 
0.2%
제58호 2
 
0.2%
제63호 2
 
0.2%
제1호(반정 2
 
0.2%
제1호(당수 2
 
0.2%
제65호 2
 
0.2%
제64호 2
 
0.2%
Other values (544) 558
48.8%
2023-12-12T17:37:40.165553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
호 623
10.3%
녹 572
 
9.4%
지 572
 
9.4%
572
 
9.4%
제 572
 
9.4%
충 459
 
7.6%
완 459
 
7.6%
2 243
 
4.0%
1 235
 
3.9%
3 197
 
3.3%
Other values (26) 1554
25.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3717
61.4%
Decimal Number 1533
25.3%
Space Separator 572
 
9.4%
Open Punctuation 117
 
1.9%
Close Punctuation 117
 
1.9%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
호 623
16.8%
녹 572
15.4%
지 572
15.4%
제 572
15.4%
충 459
12.3%
완 459
12.3%
관 82
 
2.2%
경 82
 
2.2%
광 56
 
1.5%
교 56
 
1.5%
Other values (12) 184
 
5.0%
Decimal Number
ValueCountFrequency (%)
2 243
15.9%
1 235
15.3%
3 197
12.9%
4 190
12.4%
5 132
8.6%
6 118
7.7%
9 107
7.0%
0 106
6.9%
8 103
6.7%
7 102
6.7%
Space Separator
ValueCountFrequency (%)
572
100.0%
Open Punctuation
ValueCountFrequency (%)
( 117
100.0%
Close Punctuation
ValueCountFrequency (%)
) 117
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3717
61.4%
Common 2341
38.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
호 623
16.8%
녹 572
15.4%
지 572
15.4%
제 572
15.4%
충 459
12.3%
완 459
12.3%
관 82
 
2.2%
경 82
 
2.2%
광 56
 
1.5%
교 56
 
1.5%
Other values (12) 184
 
5.0%
Common
ValueCountFrequency (%)
572
24.4%
2 243
10.4%
1 235
10.0%
3 197
 
8.4%
4 190
 
8.1%
5 132
 
5.6%
6 118
 
5.0%
( 117
 
5.0%
) 117
 
5.0%
9 107
 
4.6%
Other values (4) 313
13.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3717
61.4%
ASCII 2341
38.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
호 623
16.8%
녹 572
15.4%
지 572
15.4%
제 572
15.4%
충 459
12.3%
완 459
12.3%
관 82
 
2.2%
경 82
 
2.2%
광 56
 
1.5%
교 56
 
1.5%
Other values (12) 184
 
5.0%
ASCII
ValueCountFrequency (%)
572
24.4%
2 243
10.4%
1 235
10.0%
3 197
 
8.4%
4 190
 
8.1%
5 132
 
5.6%
6 118
 
5.0%
( 117
 
5.0%
) 117
 
5.0%
9 107
 
4.6%
Other values (4) 313
13.4%

녹지구분
Categorical

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
완충녹지
459 
경관녹지
82 
연결녹지
 
31

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
완충녹지 459
80.2%
경관녹지 82
 
14.3%
연결녹지 31
 
5.4%

Length

2023-12-12T17:37:40.322090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:37:40.445097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
완충녹지 459
80.2%
경관녹지 82
 
14.3%
연결녹지 31
 
5.4%

녹지위치
Text

Distinct508
Distinct (%)88.8%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
2023-12-12T17:37:40.664493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length28
Mean length16.097902
Min length12

Characters and Unicode

Total characters9208
Distinct characters78
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

Unique497 ?
Unique (%)86.9%

Sample

1st row영통구 매탄동 1209-3번지
2nd row권선구 권선동 1354-57번지
3rd row장안구 조원동 519-74번지 일원
4th row팔달구 화서동 770번지
5th row팔달구 화서동 771번지
ValueCountFrequency (%)
권선구 229
 
12.2%
영통구 173
 
9.2%
일원 151
 
8.0%
장안구 88
 
4.7%
팔달구 80
 
4.3%
권선동 79
 
4.2%
영통동 55
 
2.9%
정자동 50
 
2.7%
이의동 41
 
2.2%
인계동 39
 
2.1%
Other values (534) 891
47.5%
2023-12-12T17:37:41.089522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1391
 
15.1%
1 630
 
6.8%
구 587
 
6.4%
동 573
 
6.2%
지 552
 
6.0%
번 550
 
6.0%
- 413
 
4.5%
선 312
 
3.4%
권 308
 
3.3%
2 269
 
2.9%
Other values (68) 3623
39.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4933
53.6%
Decimal Number 2459
26.7%
Space Separator 1391
 
15.1%
Dash Punctuation 413
 
4.5%
Close Punctuation 6
 
0.1%
Open Punctuation 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 587
11.9%
동 573
11.6%
지 552
11.2%
번 550
11.1%
선 312
 
6.3%
권 308
 
6.2%
영 229
 
4.6%
통 229
 
4.6%
원 173
 
3.5%
일 155
 
3.1%
Other values (54) 1265
25.6%
Decimal Number
ValueCountFrequency (%)
1 630
25.6%
2 269
10.9%
3 238
 
9.7%
4 202
 
8.2%
7 202
 
8.2%
9 199
 
8.1%
8 194
 
7.9%
0 188
 
7.6%
5 172
 
7.0%
6 165
 
6.7%
Space Separator
ValueCountFrequency (%)
1391
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 413
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4933
53.6%
Common 4275
46.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 587
11.9%
동 573
11.6%
지 552
11.2%
번 550
11.1%
선 312
 
6.3%
권 308
 
6.2%
영 229
 
4.6%
통 229
 
4.6%
원 173
 
3.5%
일 155
 
3.1%
Other values (54) 1265
25.6%
Common
ValueCountFrequency (%)
1391
32.5%
1 630
14.7%
- 413
 
9.7%
2 269
 
6.3%
3 238
 
5.6%
4 202
 
4.7%
7 202
 
4.7%
9 199
 
4.7%
8 194
 
4.5%
0 188
 
4.4%
Other values (4) 349
 
8.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4933
53.6%
ASCII 4275
46.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1391
32.5%
1 630
14.7%
- 413
 
9.7%
2 269
 
6.3%
3 238
 
5.6%
4 202
 
4.7%
7 202
 
4.7%
9 199
 
4.7%
8 194
 
4.5%
0 188
 
4.4%
Other values (4) 349
 
8.2%
Hangul
ValueCountFrequency (%)
구 587
11.9%
동 573
11.6%
지 552
11.2%
번 550
11.1%
선 312
 
6.3%
권 308
 
6.2%
영 229
 
4.6%
통 229
 
4.6%
원 173
 
3.5%
일 155
 
3.1%
Other values (54) 1265
25.6%

위도
Real number (ℝ)

SKEWED 

Distinct508
Distinct (%)88.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6548.641
Minimum37.232248
Maximum3724542
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.2 KiB
2023-12-12T17:37:41.265366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.232248
5-th percentile37.239331
Q137.248218
median37.266123
Q337.288497
95-th percentile37.309125
Maximum3724542
Range3724504.8
Interquartile range (IQR)0.040279108

Descriptive statistics

Standard deviation155729.37
Coefficient of variation (CV)23.78041
Kurtosis572
Mean6548.641
Median Absolute Deviation (MAD)0.01978814
Skewness23.916521
Sum3745822.7
Variance2.4251635 × 1010
MonotonicityNot monotonic
2023-12-12T17:37:41.465558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.25930309 17
 
3.0%
37.2716183 16
 
2.8%
37.24469654 10
 
1.7%
37.25268214 7
 
1.2%
37.26588452 7
 
1.2%
37.27672972 7
 
1.2%
37.25214096 3
 
0.5%
37.23389942 3
 
0.5%
37.3133251 2
 
0.3%
37.30840286 2
 
0.3%
Other values (498) 498
87.1%
ValueCountFrequency (%)
37.23224759 1
 
0.2%
37.23242789 1
 
0.2%
37.23353005 1
 
0.2%
37.23354753 1
 
0.2%
37.23389942 3
0.5%
37.23467414 1
 
0.2%
37.23472516 1
 
0.2%
37.23530619 1
 
0.2%
37.23579641 1
 
0.2%
37.23585093 1
 
0.2%
ValueCountFrequency (%)
3724542.0 1
0.2%
37.32333288 1
0.2%
37.31757914 1
0.2%
37.31655948 1
0.2%
37.31509885 1
0.2%
37.31396207 1
0.2%
37.31385537 1
0.2%
37.31361943 1
0.2%
37.3133251 2
0.3%
37.31329348 1
0.2%

경도
Real number (ℝ)

Distinct508
Distinct (%)88.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.01613
Minimum126.93743
Maximum127.08579
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.2 KiB
2023-12-12T17:37:41.680892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.93743
5-th percentile126.95192
Q1126.98537
median127.02342
Q3127.04277
95-th percentile127.072
Maximum127.08579
Range0.1483581
Interquartile range (IQR)0.0573981

Descriptive statistics

Standard deviation0.036453155
Coefficient of variation (CV)0.00028699626
Kurtosis-0.86253055
Mean127.01613
Median Absolute Deviation (MAD)0.03044335
Skewness-0.22698873
Sum72653.227
Variance0.0013288325
MonotonicityNot monotonic
2023-12-12T17:37:41.903121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.0234202 17
 
3.0%
127.0284718 16
 
2.8%
127.0173176 10
 
1.7%
127.019876 7
 
1.2%
127.0262083 7
 
1.2%
127.0304747 7
 
1.2%
127.0204068 3
 
0.5%
127.0478955 3
 
0.5%
126.9955408 2
 
0.3%
126.977912 2
 
0.3%
Other values (498) 498
87.1%
ValueCountFrequency (%)
126.93743 1
0.2%
126.9382224 1
0.2%
126.9383759 1
0.2%
126.9388333 1
0.2%
126.938875 1
0.2%
126.939075 1
0.2%
126.939358 1
0.2%
126.9402 1
0.2%
126.9413548 1
0.2%
126.9425581 1
0.2%
ValueCountFrequency (%)
127.0857881 1
0.2%
127.0833309 1
0.2%
127.0831916 1
0.2%
127.0824826 1
0.2%
127.0818508 1
0.2%
127.0817227 1
0.2%
127.080928 1
0.2%
127.08088 1
0.2%
127.0808252 1
0.2%
127.0803902 1
0.2%

면적(제곱미터)
Real number (ℝ)

Distinct557
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2846.7364
Minimum27
Maximum104478.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.2 KiB
2023-12-12T17:37:42.071127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum27
5-th percentile143.65
Q1640.5
median1287.75
Q32911.175
95-th percentile8498.185
Maximum104478.7
Range104451.7
Interquartile range (IQR)2270.675

Descriptive statistics

Standard deviation6560.5017
Coefficient of variation (CV)2.3045695
Kurtosis114.52175
Mean2846.7364
Median Absolute Deviation (MAD)867.8
Skewness9.1230713
Sum1628333.2
Variance43040182
MonotonicityNot monotonic
2023-12-12T17:37:42.259771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
122.0 3
 
0.5%
299.0 3
 
0.5%
265.0 2
 
0.3%
1087.0 2
 
0.3%
1655.0 2
 
0.3%
962.0 2
 
0.3%
1134.0 2
 
0.3%
1008.0 2
 
0.3%
1064.0 2
 
0.3%
96.0 2
 
0.3%
Other values (547) 550
96.2%
ValueCountFrequency (%)
27.0 1
0.2%
34.0 1
0.2%
40.0 1
0.2%
42.0 1
0.2%
49.0 1
0.2%
52.0 1
0.2%
55.0 1
0.2%
65.0 1
0.2%
72.3 1
0.2%
73.0 1
0.2%
ValueCountFrequency (%)
104478.7 1
0.2%
51725.0 1
0.2%
45564.7 1
0.2%
42656.0 1
0.2%
39375.5 1
0.2%
38423.8 1
0.2%
32392.9 1
0.2%
23878.7 1
0.2%
21685.0 1
0.2%
19962.4 1
0.2%

결정일자
Date

Distinct85
Distinct (%)14.9%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
Minimum1974-08-27 00:00:00
Maximum2023-06-30 00:00:00
2023-12-12T17:37:42.403878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:37:42.525165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
Minimum2023-07-31 00:00:00
Maximum2023-07-31 00:00:00
2023-12-12T17:37:42.629314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:37:42.722110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T17:37:38.489207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:37:37.332868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:37:37.666947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:37:38.619553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:37:37.442243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:37:38.175246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:37:38.754119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:37:37.559050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:37:38.333803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T17:37:42.788154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
녹지구분위도경도면적(제곱미터)결정일자
녹지구분1.0000.1000.3170.2740.902
위도0.1001.0000.0000.0000.180
경도0.3170.0001.0000.0680.962
면적(제곱미터)0.2740.0000.0681.0000.710
결정일자0.9020.1800.9620.7101.000
2023-12-12T17:37:42.877716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도면적(제곱미터)녹지구분
위도1.000-0.2660.0410.165
경도-0.2661.0000.0570.199
면적(제곱미터)0.0410.0571.0000.117
녹지구분0.1650.1990.1171.000

Missing values

2023-12-12T17:37:38.944581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:37:39.123007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

녹지등록명녹지구분녹지위치위도경도면적(제곱미터)결정일자데이터기준일자
0연결녹지 제3호연결녹지영통구 매탄동 1209-3번지37.268801127.0532521998.71991-02-082023-07-31
1연결녹지 제8호연결녹지권선구 권선동 1354-57번지37.236757127.0233433475.02008-11-042023-07-31
2연결녹지 제9호연결녹지장안구 조원동 519-74번지 일원37.297789127.0191172842.82009-01-202023-07-31
3연결녹지 제10호연결녹지팔달구 화서동 770번지37.288027127.002207870.02009-03-132023-07-31
4연결녹지 제11호연결녹지팔달구 화서동 771번지37.287712127.002732190.02009-03-132023-07-31
5연결녹지 제12호연결녹지장안구 이목동 310-3번지 일원37.313619126.9833663116.02009-05-082023-07-31
6연결녹지 제13호연결녹지장안구 이목동 317번지 일원37.313855126.9840215544.02009-05-082023-07-31
7연결녹지 제14호연결녹지장안구 이목동 325번지 일원37.313293126.985352992.02009-05-082023-07-31
8연결녹지 제15호연결녹지장안구 이목동 321-2번지 일원37.313962126.9855341841.02009-05-082023-07-31
9연결녹지 제16호연결녹지장안구 정자동 945-1번지 일원37.307347126.9823699021.02010-05-042023-07-31
녹지등록명녹지구분녹지위치위도경도면적(제곱미터)결정일자데이터기준일자
562완충녹지 제457호(호매실)완충녹지권선구 호매실동 1361-1번지37.266171126.949852227.42010-11-152023-07-31
563완충녹지 제509호(당수-1)완충녹지권선구 당수동 301 일원37.28945126.938875817.02017-03-282023-07-31
564완충녹지 제511호(당수-3)완충녹지권선구 당수동 337-3 일원37.288207126.9434151311.02017-03-282023-07-31
565완충녹지 제515호완충녹지장안구 이목동 397 일원37.310637126.9795722401.02020-05-152023-07-31
566완충녹지 제516호완충녹지장안구 이목동 41-3 일원37.323333126.9770435705.02020-05-152023-07-31
567완충녹지 제519호완충녹지팔달구 인계동 249-4 일원37.27318127.022185747.02018-06-262023-07-31
568완충녹지 제517호완충녹지영통구 망포동 770-22 일원37.24501127.04017639.02018-06-262023-07-31
569완충녹지 제518호완충녹지영통구 망포동 775-32 일원37.23839127.037561613.72018-06-262023-07-31
570완충녹지 제35호완충녹지영통구 망포동 775-12 일원37.23954127.037392325.92018-06-262023-07-31
571완충녹지 제1호(당수)완충녹지권선구 당수동 291-2037.29017126.937432235.02023-06-302023-07-31