Overview

Dataset statistics

Number of variables4
Number of observations37
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.4 KiB
Average record size in memory37.6 B

Variable types

Numeric2
Text2

Dataset

Description연번,공 원 명,위 치,공원면적(㎡)
Author강북구
URLhttps://data.seoul.go.kr/dataList/OA-11629/S/1/datasetView.do

Alerts

연번 has unique valuesUnique
공 원 명 has unique valuesUnique
위 치 has unique valuesUnique

Reproduction

Analysis started2023-12-11 08:15:27.809398
Analysis finished2023-12-11 08:15:28.444612
Duration0.64 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct37
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19
Minimum1
Maximum37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2023-12-11T17:15:28.526933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.8
Q110
median19
Q328
95-th percentile35.2
Maximum37
Range36
Interquartile range (IQR)18

Descriptive statistics

Standard deviation10.824355
Coefficient of variation (CV)0.56970291
Kurtosis-1.2
Mean19
Median Absolute Deviation (MAD)9
Skewness0
Sum703
Variance117.16667
MonotonicityStrictly increasing
2023-12-11T17:15:28.993925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
1 1
 
2.7%
29 1
 
2.7%
22 1
 
2.7%
23 1
 
2.7%
24 1
 
2.7%
25 1
 
2.7%
26 1
 
2.7%
27 1
 
2.7%
28 1
 
2.7%
30 1
 
2.7%
Other values (27) 27
73.0%
ValueCountFrequency (%)
1 1
2.7%
2 1
2.7%
3 1
2.7%
4 1
2.7%
5 1
2.7%
6 1
2.7%
7 1
2.7%
8 1
2.7%
9 1
2.7%
10 1
2.7%
ValueCountFrequency (%)
37 1
2.7%
36 1
2.7%
35 1
2.7%
34 1
2.7%
33 1
2.7%
32 1
2.7%
31 1
2.7%
30 1
2.7%
29 1
2.7%
28 1
2.7%

공 원 명
Text

UNIQUE 

Distinct37
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size428.0 B
2023-12-11T17:15:29.255281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length3
Mean length3.3513514
Min length3

Characters and Unicode

Total characters124
Distinct characters76
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

Unique37 ?
Unique (%)100.0%

Sample

1st row청 암
2nd row하 늘
3rd row한 빛
4th row운 산
5th row세 일
ValueCountFrequency (%)
산 2
 
3.4%
오 2
 
3.4%
벌 2
 
3.4%
청 1
 
1.7%
은모루 1
 
1.7%
리 1
 
1.7%
현 1
 
1.7%
색 1
 
1.7%
동 1
 
1.7%
빨래골 1
 
1.7%
Other values (45) 45
77.6%
2023-12-11T17:15:29.792281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
21
 
16.9%
미 5
 
4.0%
골 4
 
3.2%
오 4
 
3.2%
아 3
 
2.4%
루 3
 
2.4%
마 3
 
2.4%
산 3
 
2.4%
소 2
 
1.6%
달 2
 
1.6%
Other values (66) 74
59.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 95
76.6%
Space Separator 21
 
16.9%
Decimal Number 6
 
4.8%
Dash Punctuation 2
 
1.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
미 5
 
5.3%
골 4
 
4.2%
오 4
 
4.2%
아 3
 
3.2%
루 3
 
3.2%
마 3
 
3.2%
산 3
 
3.2%
소 2
 
2.1%
달 2
 
2.1%
벌 2
 
2.1%
Other values (60) 64
67.4%
Decimal Number
ValueCountFrequency (%)
8 2
33.3%
1 2
33.3%
2 1
16.7%
9 1
16.7%
Space Separator
ValueCountFrequency (%)
21
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 95
76.6%
Common 29
 
23.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
미 5
 
5.3%
골 4
 
4.2%
오 4
 
4.2%
아 3
 
3.2%
루 3
 
3.2%
마 3
 
3.2%
산 3
 
3.2%
소 2
 
2.1%
달 2
 
2.1%
벌 2
 
2.1%
Other values (60) 64
67.4%
Common
ValueCountFrequency (%)
21
72.4%
8 2
 
6.9%
- 2
 
6.9%
1 2
 
6.9%
2 1
 
3.4%
9 1
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 95
76.6%
ASCII 29
 
23.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
21
72.4%
8 2
 
6.9%
- 2
 
6.9%
1 2
 
6.9%
2 1
 
3.4%
9 1
 
3.4%
Hangul
ValueCountFrequency (%)
미 5
 
5.3%
골 4
 
4.2%
오 4
 
4.2%
아 3
 
3.2%
루 3
 
3.2%
마 3
 
3.2%
산 3
 
3.2%
소 2
 
2.1%
달 2
 
2.1%
벌 2
 
2.1%
Other values (60) 64
67.4%

위 치
Text

UNIQUE 

Distinct37
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size428.0 B
2023-12-11T17:15:30.123281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length13
Mean length10.540541
Min length7

Characters and Unicode

Total characters390
Distinct characters21
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

Unique37 ?
Unique (%)100.0%

Sample

1st row미아2동 776-17
2nd row미아2동 791-1776
3rd row미아3동 222-20
4th row미아3동 165-3
5th row미아3동 162-1
ValueCountFrequency (%)
미아3동 5
 
6.6%
수유3동 5
 
6.6%
수유1동 3
 
3.9%
번1동 3
 
3.9%
미아2동 2
 
2.6%
미아9동 2
 
2.6%
미아동 2
 
2.6%
일대 2
 
2.6%
미아67동 2
 
2.6%
수유4동 2
 
2.6%
Other values (45) 48
63.2%
2023-12-11T17:15:30.582389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
39
 
10.0%
동 37
 
9.5%
2 36
 
9.2%
1 35
 
9.0%
- 33
 
8.5%
3 25
 
6.4%
4 21
 
5.4%
5 18
 
4.6%
미 17
 
4.4%
6 17
 
4.4%
Other values (11) 112
28.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 210
53.8%
Other Letter 108
27.7%
Space Separator 39
 
10.0%
Dash Punctuation 33
 
8.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 36
17.1%
1 35
16.7%
3 25
11.9%
4 21
10.0%
5 18
8.6%
6 17
8.1%
7 17
8.1%
8 16
7.6%
9 13
 
6.2%
0 12
 
5.7%
Other Letter
ValueCountFrequency (%)
동 37
34.3%
미 17
15.7%
아 16
14.8%
수 13
 
12.0%
유 13
 
12.0%
번 7
 
6.5%
일 2
 
1.9%
대 2
 
1.9%
이 1
 
0.9%
Space Separator
ValueCountFrequency (%)
39
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 33
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 282
72.3%
Hangul 108
 
27.7%

Most frequent character per script

Common
ValueCountFrequency (%)
39
13.8%
2 36
12.8%
1 35
12.4%
- 33
11.7%
3 25
8.9%
4 21
7.4%
5 18
6.4%
6 17
6.0%
7 17
6.0%
8 16
5.7%
Other values (2) 25
8.9%
Hangul
ValueCountFrequency (%)
동 37
34.3%
미 17
15.7%
아 16
14.8%
수 13
 
12.0%
유 13
 
12.0%
번 7
 
6.5%
일 2
 
1.9%
대 2
 
1.9%
이 1
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 282
72.3%
Hangul 108
 
27.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
39
13.8%
2 36
12.8%
1 35
12.4%
- 33
11.7%
3 25
8.9%
4 21
7.4%
5 18
6.4%
6 17
6.0%
7 17
6.0%
8 16
5.7%
Other values (2) 25
8.9%
Hangul
ValueCountFrequency (%)
동 37
34.3%
미 17
15.7%
아 16
14.8%
수 13
 
12.0%
유 13
 
12.0%
번 7
 
6.5%
일 2
 
1.9%
대 2
 
1.9%
이 1
 
0.9%

공원면적(㎡)
Real number (ℝ)

Distinct36
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1529.4135
Minimum340
Maximum5070.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2023-12-11T17:15:30.790398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum340
5-th percentile379.38
Q1858.2
median992
Q31913
95-th percentile4195.06
Maximum5070.7
Range4730.7
Interquartile range (IQR)1054.8

Descriptive statistics

Standard deviation1234.597
Coefficient of variation (CV)0.8072356
Kurtosis1.5951204
Mean1529.4135
Median Absolute Deviation (MAD)258
Skewness1.589315
Sum56588.3
Variance1524229.8
MonotonicityNot monotonic
2023-12-11T17:15:30.960059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
992.0 2
 
5.4%
976.9 1
 
2.7%
476.0 1
 
2.7%
2632.0 1
 
2.7%
1064.0 1
 
2.7%
340.0 1
 
2.7%
961.0 1
 
2.7%
918.0 1
 
2.7%
651.0 1
 
2.7%
661.0 1
 
2.7%
Other values (26) 26
70.3%
ValueCountFrequency (%)
340.0 1
2.7%
376.9 1
2.7%
380.0 1
2.7%
476.0 1
2.7%
651.0 1
2.7%
661.0 1
2.7%
681.0 1
2.7%
807.0 1
2.7%
839.7 1
2.7%
858.2 1
2.7%
ValueCountFrequency (%)
5070.7 1
2.7%
4641.3 1
2.7%
4083.5 1
2.7%
3661.0 1
2.7%
3367.0 1
2.7%
3091.3 1
2.7%
2632.0 1
2.7%
2341.2 1
2.7%
2185.8 1
2.7%
1913.0 1
2.7%

Interactions

2023-12-11T17:15:28.137514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T17:15:27.954710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T17:15:28.224957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T17:15:28.051664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T17:15:31.064175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번공 원 명위 치공원면적(㎡)
연번1.0001.0001.0000.634
공 원 명1.0001.0001.0001.000
위 치1.0001.0001.0001.000
공원면적(㎡)0.6341.0001.0001.000
2023-12-11T17:15:31.206453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번공원면적(㎡)
연번1.000-0.072
공원면적(㎡)-0.0721.000

Missing values

2023-12-11T17:15:28.327225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T17:15:28.409464image/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

연번공 원 명위 치공원면적(㎡)
01청 암미아2동 776-17661.0
12하 늘미아2동 791-17763367.0
23한 빛미아3동 222-201192.1
34운 산미아3동 165-3995.1
45세 일미아3동 162-1839.7
56으 뜸미아3동 309-43681.0
67벽오산미아3동 258-561250.0
78응달마을미아5동 860-116866.0
89솔 샘미아8동 329-111264.1
910달마루미아4동 8-73992.0
연번공 원 명위 치공원면적(㎡)
2728새 싹수유3동 134-40651.0
2829희 망수유3동 193-1976.9
2930상 산수유3동 224-4972.9
3031무너미수유4동 281-2380.0
3132푸 른수유4동 516-44992.0
3233보등골수유5동 605-209869.0
3334테두리미아67동 852-160 일대1913.0
3435고갯마루미아67동 852-1167 일대2185.8
3536미아9-1미아동 3-8303091.3
3637미아동128-8미아동 128-8376.9