Overview

Dataset statistics

Number of variables5
Number of observations200
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.1 KiB
Average record size in memory41.6 B

Variable types

Categorical2
Text2
Numeric1

Dataset

Description세종특별자치시 생활권역별로 녹지현황을 제공합니다.데이터는 생활권, 시설명, 녹지구분(완충녹지, 경관녹지, 연결녹지), 위치(주소), 조성면적으로 구성되어 있습니다.
Author세종특별자치시
URLhttps://www.data.go.kr/data/15095015/fileData.do

Alerts

조성면적 is highly overall correlated with 생활권High correlation
생활권 is highly overall correlated with 조성면적High correlation
시설명 has unique valuesUnique
조성면적 has unique valuesUnique

Reproduction

Analysis started2024-04-20 22:55:23.377508
Analysis finished2024-04-20 22:55:24.057463
Duration0.68 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

생활권
Categorical

HIGH CORRELATION 

Distinct13
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
고운동
49 
한솔동
40 
아름동
29 
새롬동
16 
반곡동
16 
Other values (8)
50 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique2 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
고운동 49
24.5%
한솔동 40
20.0%
아름동 29
14.5%
새롬동 16
 
8.0%
반곡동 16
 
8.0%
다정동 13
 
6.5%
도담동 13
 
6.5%
종촌동 12
 
6.0%
어진동 5
 
2.5%
소담동 3
 
1.5%
Other values (3) 4
 
2.0%

Length

2024-04-21T07:55:24.160050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
고운동 49
24.5%
한솔동 40
20.0%
아름동 29
14.5%
새롬동 16
 
8.0%
반곡동 16
 
8.0%
다정동 13
 
6.5%
도담동 13
 
6.5%
종촌동 12
 
6.0%
어진동 5
 
2.5%
소담동 3
 
1.5%
Other values (3) 4
 
2.0%

시설명
Text

UNIQUE 

Distinct200
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2024-04-21T07:55:25.403316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length4.78
Min length4

Characters and Unicode

Total characters956
Distinct characters15
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique200 ?
Unique (%)100.0%

Sample

1st row완1-1
2nd row완1-2
3rd row완1-3
4th row완1-4
5th row완1-5
ValueCountFrequency (%)
완1-1 1
 
0.5%
경1-90 1
 
0.5%
경2-7 1
 
0.5%
경1-81 1
 
0.5%
경1-82 1
 
0.5%
경1-83 1
 
0.5%
경1-84 1
 
0.5%
경1-85 1
 
0.5%
경1-86 1
 
0.5%
경1-87 1
 
0.5%
Other values (190) 190
95.0%
2024-04-21T07:55:26.893028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 200
20.9%
1 174
18.2%
경 130
13.6%
2 126
13.2%
완 61
 
6.4%
4 51
 
5.3%
3 51
 
5.3%
5 35
 
3.7%
8 28
 
2.9%
7 25
 
2.6%
Other values (5) 75
 
7.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 554
57.9%
Dash Punctuation 200
 
20.9%
Other Letter 200
 
20.9%
Uppercase Letter 2
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 174
31.4%
2 126
22.7%
4 51
 
9.2%
3 51
 
9.2%
5 35
 
6.3%
8 28
 
5.1%
7 25
 
4.5%
9 25
 
4.5%
6 22
 
4.0%
0 17
 
3.1%
Other Letter
ValueCountFrequency (%)
경 130
65.0%
완 61
30.5%
연 9
 
4.5%
Dash Punctuation
ValueCountFrequency (%)
- 200
100.0%
Uppercase Letter
ValueCountFrequency (%)
S 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 754
78.9%
Hangul 200
 
20.9%
Latin 2
 
0.2%

Most frequent character per script

Common
ValueCountFrequency (%)
- 200
26.5%
1 174
23.1%
2 126
16.7%
4 51
 
6.8%
3 51
 
6.8%
5 35
 
4.6%
8 28
 
3.7%
7 25
 
3.3%
9 25
 
3.3%
6 22
 
2.9%
Hangul
ValueCountFrequency (%)
경 130
65.0%
완 61
30.5%
연 9
 
4.5%
Latin
ValueCountFrequency (%)
S 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 756
79.1%
Hangul 200
 
20.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 200
26.5%
1 174
23.0%
2 126
16.7%
4 51
 
6.7%
3 51
 
6.7%
5 35
 
4.6%
8 28
 
3.7%
7 25
 
3.3%
9 25
 
3.3%
6 22
 
2.9%
Other values (2) 19
 
2.5%
Hangul
ValueCountFrequency (%)
경 130
65.0%
완 61
30.5%
연 9
 
4.5%

시설세분
Categorical

Distinct3
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
경관녹지
130 
완충녹지
61 
연결녹지
 
9

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경관녹지 130
65.0%
완충녹지 61
30.5%
연결녹지 9
 
4.5%

Length

2024-04-21T07:55:27.112315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T07:55:27.287984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경관녹지 130
65.0%
완충녹지 61
30.5%
연결녹지 9
 
4.5%

위 치
Text

Distinct198
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2024-04-21T07:55:28.610102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length31
Mean length17.375
Min length16

Characters and Unicode

Total characters3475
Distinct characters55
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique196 ?
Unique (%)98.0%

Sample

1st row세종특별자치시 고운동 888공
2nd row세종특별자치시 고운동 1388공
3rd row세종특별자치시 고운동 1391공
4th row세종특별자치시 고운동 1397공
5th row세종특별자치시 아름동 1399공
ValueCountFrequency (%)
세종특별자치시 200
31.4%
고운동 48
 
7.5%
한솔동 40
 
6.3%
아름동 30
 
4.7%
새롬동 16
 
2.5%
반곡동 14
 
2.2%
도담동 13
 
2.0%
다정동 13
 
2.0%
종촌동 12
 
1.9%
일원 10
 
1.6%
Other values (219) 240
37.7%
2024-04-21T07:55:30.545399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
443
 
12.7%
종 212
 
6.1%
세 200
 
5.8%
특 200
 
5.8%
별 200
 
5.8%
자 200
 
5.8%
치 200
 
5.8%
시 200
 
5.8%
동 199
 
5.7%
공 197
 
5.7%
Other values (45) 1224
35.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2234
64.3%
Decimal Number 792
 
22.8%
Space Separator 443
 
12.7%
Dash Punctuation 6
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
종 212
9.5%
세 200
9.0%
특 200
9.0%
별 200
9.0%
자 200
9.0%
치 200
9.0%
시 200
9.0%
동 199
8.9%
공 197
8.8%
운 48
 
2.1%
Other values (33) 378
16.9%
Decimal Number
ValueCountFrequency (%)
1 168
21.2%
0 89
11.2%
9 87
11.0%
8 78
9.8%
5 71
9.0%
6 65
 
8.2%
2 60
 
7.6%
3 59
 
7.4%
4 58
 
7.3%
7 57
 
7.2%
Space Separator
ValueCountFrequency (%)
443
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2234
64.3%
Common 1241
35.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
종 212
9.5%
세 200
9.0%
특 200
9.0%
별 200
9.0%
자 200
9.0%
치 200
9.0%
시 200
9.0%
동 199
8.9%
공 197
8.8%
운 48
 
2.1%
Other values (33) 378
16.9%
Common
ValueCountFrequency (%)
443
35.7%
1 168
 
13.5%
0 89
 
7.2%
9 87
 
7.0%
8 78
 
6.3%
5 71
 
5.7%
6 65
 
5.2%
2 60
 
4.8%
3 59
 
4.8%
4 58
 
4.7%
Other values (2) 63
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2234
64.3%
ASCII 1241
35.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
443
35.7%
1 168
 
13.5%
0 89
 
7.2%
9 87
 
7.0%
8 78
 
6.3%
5 71
 
5.7%
6 65
 
5.2%
2 60
 
4.8%
3 59
 
4.8%
4 58
 
4.7%
Other values (2) 63
 
5.1%
Hangul
ValueCountFrequency (%)
종 212
9.5%
세 200
9.0%
특 200
9.0%
별 200
9.0%
자 200
9.0%
치 200
9.0%
시 200
9.0%
동 199
8.9%
공 197
8.8%
운 48
 
2.1%
Other values (33) 378
16.9%

조성면적
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct200
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5911.886
Minimum46.1
Maximum332615
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-04-21T07:55:30.943354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46.1
5-th percentile93.495
Q1353.925
median1196
Q33283.425
95-th percentile7693.185
Maximum332615
Range332568.9
Interquartile range (IQR)2929.5

Descriptive statistics

Standard deviation32080.873
Coefficient of variation (CV)5.4265041
Kurtosis82.784059
Mean5911.886
Median Absolute Deviation (MAD)932.4
Skewness8.9639407
Sum1182377.2
Variance1.0291824 × 109
MonotonicityNot monotonic
2024-04-21T07:55:31.372706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7806.9 1
 
0.5%
285.5 1
 
0.5%
46.1 1
 
0.5%
354.9 1
 
0.5%
201.5 1
 
0.5%
140.3 1
 
0.5%
515.4 1
 
0.5%
475.0 1
 
0.5%
896.5 1
 
0.5%
229.7 1
 
0.5%
Other values (190) 190
95.0%
ValueCountFrequency (%)
46.1 1
0.5%
82.3 1
0.5%
82.4 1
0.5%
86.0 1
0.5%
90.0 1
0.5%
92.6 1
0.5%
92.7 1
0.5%
93.0 1
0.5%
93.2 1
0.5%
93.4 1
0.5%
ValueCountFrequency (%)
332615.0 1
0.5%
282666.8 1
0.5%
136977.3 1
0.5%
25406.6 1
0.5%
12370.8 1
0.5%
8519.8 1
0.5%
8313.7 1
0.5%
7845.0 1
0.5%
7813.5 1
0.5%
7806.9 1
0.5%

Interactions

2024-04-21T07:55:23.637625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T07:55:31.628870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
생활권시설세분조성면적
생활권1.0000.6310.760
시설세분0.6311.0000.000
조성면적0.7600.0001.000
2024-04-21T07:55:31.865547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설세분생활권
시설세분1.0000.440
생활권0.4401.000
2024-04-21T07:55:32.105002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
조성면적생활권시설세분
조성면적1.0000.5500.000
생활권0.5501.0000.440
시설세분0.0000.4401.000

Missing values

2024-04-21T07:55:23.830758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T07:55:23.992854image/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

생활권시설명시설세분위 치조성면적
0고운동완1-1완충녹지세종특별자치시 고운동 888공7806.9
1고운동완1-2완충녹지세종특별자치시 고운동 1388공667.0
2고운동완1-3완충녹지세종특별자치시 고운동 1391공1100.7
3고운동완1-4완충녹지세종특별자치시 고운동 1397공2270.0
4고운동완1-5완충녹지세종특별자치시 아름동 1399공951.1
5고운동완1-6완충녹지세종특별자치시 고운동 2104공1381.2
6고운동완1-7완충녹지세종특별자치시 고운동 1707공3556.3
7고운동완1-8완충녹지세종특별자치시 고운동 1725공1532.0
8고운동완1-9완충녹지세종특별자치시 고운동 1727공1245.4
9고운동완1-10완충녹지세종특별자치시 고운동 1904공6235.4
생활권시설명시설세분위 치조성면적
190산울동경6-2경관녹지세종특별자치시 연기면 산울리 806공136977.3
191다정동연2-6연결녹지세종특별자치시 다정동 961공 990공 일원751.7
192다정동연2-7연결녹지세종특별자치시 다정동 962공7629.3
193다정동연2-8연결녹지세종특별자치시 다정동 966공5734.0
194새롬동연2-9연결녹지세종특별자치시 새롬동 604공6432.1
195새롬동연2-10연결녹지세종특별자치시 새롬동 606공4203.3
196새롬동연2-12연결녹지세종특별자치시 새롬동 612공1554.7
197다정동연2-18연결녹지세종특별자치시 다정동 968공4030.4
198새롬동연2-19연결녹지세종특별자치시 새롬동 613공1977.0
199다정동연2-20연결녹지세종특별자치시 다정동 972공2817.7