Overview

Dataset statistics

Number of variables4
Number of observations263
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.3 KiB
Average record size in memory32.5 B

Variable types

Categorical1
Text3

Dataset

Description부천시 내에 조성된 공원에 대한 정보로 공원 구분, 공원명, 소재지(지번), 면적(제곱미터) 등의 정보를 제공합니다.
Author경기도 부천시
URLhttps://www.data.go.kr/data/3080174/fileData.do

Alerts

공원명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 05:51:24.148854
Analysis finished2023-12-12 05:51:24.495604
Duration0.35 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

공원 구분
Categorical

Distinct8
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
어린이공원
140 
근린공원
58 
소공원
34 
문화
 
13
가로
 
7
Other values (3)
 
11

Length

Max length5
Median length5
Mean length4.2205323
Min length2

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
어린이공원 140
53.2%
근린공원 58
22.1%
소공원 34
 
12.9%
문화 13
 
4.9%
가로 7
 
2.7%
체육공원 6
 
2.3%
수변 4
 
1.5%
도시농업 1
 
0.4%

Length

2023-12-12T14:51:24.565543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:51:24.715132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
어린이공원 140
53.2%
근린공원 58
22.1%
소공원 34
 
12.9%
문화 13
 
4.9%
가로 7
 
2.7%
체육공원 6
 
2.3%
수변 4
 
1.5%
도시농업 1
 
0.4%

공원명
Text

UNIQUE 

Distinct263
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2023-12-12T14:51:25.070011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length4
Mean length4.9239544
Min length2

Characters and Unicode

Total characters1295
Distinct characters187
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

Unique263 ?
Unique (%)100.0%

Sample

1st row뒷골취락
2nd row고강취락
3rd row163호
4th row167호
5th row169호
ValueCountFrequency (%)
체육공원 6
 
2.2%
뒷골취락 1
 
0.4%
최희섭공원 1
 
0.4%
서촌공원 1
 
0.4%
안중근공원 1
 
0.4%
계남공원 1
 
0.4%
길주공원 1
 
0.4%
약대공원 1
 
0.4%
도당공원 1
 
0.4%
중앙공원 1
 
0.4%
Other values (255) 255
94.4%
2023-12-12T14:51:25.463124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 224
17.3%
공 212
16.4%
호 94
 
7.3%
3 65
 
5.0%
1 52
 
4.0%
2 49
 
3.8%
9 24
 
1.9%
근 23
 
1.8%
린 22
 
1.7%
6 18
 
1.4%
Other values (177) 512
39.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1005
77.6%
Decimal Number 283
 
21.9%
Space Separator 7
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 224
22.3%
공 212
21.1%
호 94
 
9.4%
근 23
 
2.3%
린 22
 
2.2%
산 12
 
1.2%
소 11
 
1.1%
말 10
 
1.0%
지 10
 
1.0%
은 8
 
0.8%
Other values (166) 379
37.7%
Decimal Number
ValueCountFrequency (%)
3 65
23.0%
1 52
18.4%
2 49
17.3%
9 24
 
8.5%
6 18
 
6.4%
4 17
 
6.0%
7 16
 
5.7%
0 16
 
5.7%
8 15
 
5.3%
5 11
 
3.9%
Space Separator
ValueCountFrequency (%)
7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1005
77.6%
Common 290
 
22.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 224
22.3%
공 212
21.1%
호 94
 
9.4%
근 23
 
2.3%
린 22
 
2.2%
산 12
 
1.2%
소 11
 
1.1%
말 10
 
1.0%
지 10
 
1.0%
은 8
 
0.8%
Other values (166) 379
37.7%
Common
ValueCountFrequency (%)
3 65
22.4%
1 52
17.9%
2 49
16.9%
9 24
 
8.3%
6 18
 
6.2%
4 17
 
5.9%
7 16
 
5.5%
0 16
 
5.5%
8 15
 
5.2%
5 11
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1005
77.6%
ASCII 290
 
22.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 224
22.3%
공 212
21.1%
호 94
 
9.4%
근 23
 
2.3%
린 22
 
2.2%
산 12
 
1.2%
소 11
 
1.1%
말 10
 
1.0%
지 10
 
1.0%
은 8
 
0.8%
Other values (166) 379
37.7%
ASCII
ValueCountFrequency (%)
3 65
22.4%
1 52
17.9%
2 49
16.9%
9 24
 
8.3%
6 18
 
6.2%
4 17
 
5.9%
7 16
 
5.5%
0 16
 
5.5%
8 15
 
5.2%
5 11
 
3.8%

소재지(지번)
Text

Distinct262
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2023-12-12T14:51:25.739272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length20
Mean length15.471483
Min length12

Characters and Unicode

Total characters4069
Distinct characters60
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique261 ?
Unique (%)99.2%

Sample

1st row경기도 부천시 고강동225-7
2nd row경기도 부천시 고강동250-17
3rd row경기도 부천시 약대동208
4th row경기도 부천시 중동1117번지
5th row경기도 부천시 소사본동425번지
ValueCountFrequency (%)
경기도 263
32.5%
부천시 263
32.5%
일원 8
 
1.0%
대장동 7
 
0.9%
춘의동8 2
 
0.2%
춘의동 2
 
0.2%
오정동 2
 
0.2%
약대동216-7 1
 
0.1%
소사동44-16 1
 
0.1%
약대동195일원 1
 
0.1%
Other values (260) 260
32.1%
2023-12-12T14:51:26.191483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
548
13.5%
도 267
 
6.6%
경 263
 
6.5%
시 263
 
6.5%
동 263
 
6.5%
기 263
 
6.5%
천 263
 
6.5%
부 263
 
6.5%
1 182
 
4.5%
2 151
 
3.7%
Other values (50) 1343
33.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2415
59.4%
Decimal Number 955
 
23.5%
Space Separator 548
 
13.5%
Dash Punctuation 148
 
3.6%
Other Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 267
11.1%
경 263
10.9%
시 263
10.9%
동 263
10.9%
기 263
10.9%
천 263
10.9%
부 263
10.9%
원 42
 
1.7%
중 35
 
1.4%
본 30
 
1.2%
Other values (37) 463
19.2%
Decimal Number
ValueCountFrequency (%)
1 182
19.1%
2 151
15.8%
3 107
11.2%
4 94
9.8%
5 86
9.0%
7 80
8.4%
0 74
7.7%
9 68
 
7.1%
8 59
 
6.2%
6 54
 
5.7%
Space Separator
ValueCountFrequency (%)
548
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 148
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2415
59.4%
Common 1654
40.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 267
11.1%
경 263
10.9%
시 263
10.9%
동 263
10.9%
기 263
10.9%
천 263
10.9%
부 263
10.9%
원 42
 
1.7%
중 35
 
1.4%
본 30
 
1.2%
Other values (37) 463
19.2%
Common
ValueCountFrequency (%)
548
33.1%
1 182
 
11.0%
2 151
 
9.1%
- 148
 
8.9%
3 107
 
6.5%
4 94
 
5.7%
5 86
 
5.2%
7 80
 
4.8%
0 74
 
4.5%
9 68
 
4.1%
Other values (3) 116
 
7.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2415
59.4%
ASCII 1654
40.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
548
33.1%
1 182
 
11.0%
2 151
 
9.1%
- 148
 
8.9%
3 107
 
6.5%
4 94
 
5.7%
5 86
 
5.2%
7 80
 
4.8%
0 74
 
4.5%
9 68
 
4.1%
Other values (3) 116
 
7.0%
Hangul
ValueCountFrequency (%)
도 267
11.1%
경 263
10.9%
시 263
10.9%
동 263
10.9%
기 263
10.9%
천 263
10.9%
부 263
10.9%
원 42
 
1.7%
중 35
 
1.4%
본 30
 
1.2%
Other values (37) 463
19.2%

면적(제곱미터)
Text

Distinct260
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2023-12-12T14:51:26.484217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length20
Mean length5.6882129
Min length3

Characters and Unicode

Total characters1496
Distinct characters16
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

Unique258 ?
Unique (%)98.1%

Sample

1st row500
2nd row900
3rd row800
4th row2000.3
5th row1070
ValueCountFrequency (%)
1500 3
 
1.1%
499 2
 
0.7%
5505 1
 
0.4%
18801 1
 
0.4%
628.4 1
 
0.4%
847.5 1
 
0.4%
604.7 1
 
0.4%
628.2 1
 
0.4%
5132 1
 
0.4%
344.862.9 1
 
0.4%
Other values (255) 255
95.1%
2023-12-12T14:51:26.989529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 197
13.2%
. 170
11.4%
5 146
9.8%
2 146
9.8%
3 137
9.2%
0 126
8.4%
9 118
7.9%
4 117
7.8%
8 110
7.4%
7 102
6.8%
Other values (6) 127
8.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1301
87.0%
Other Punctuation 170
 
11.4%
Other Letter 10
 
0.7%
Space Separator 5
 
0.3%
Open Punctuation 5
 
0.3%
Close Punctuation 5
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 197
15.1%
5 146
11.2%
2 146
11.2%
3 137
10.5%
0 126
9.7%
9 118
9.1%
4 117
9.0%
8 110
8.5%
7 102
7.8%
6 102
7.8%
Other Letter
ValueCountFrequency (%)
조 5
50.0%
성 5
50.0%
Other Punctuation
ValueCountFrequency (%)
. 170
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1486
99.3%
Hangul 10
 
0.7%

Most frequent character per script

Common
ValueCountFrequency (%)
1 197
13.3%
. 170
11.4%
5 146
9.8%
2 146
9.8%
3 137
9.2%
0 126
8.5%
9 118
7.9%
4 117
7.9%
8 110
7.4%
7 102
6.9%
Other values (4) 117
7.9%
Hangul
ValueCountFrequency (%)
조 5
50.0%
성 5
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1486
99.3%
Hangul 10
 
0.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 197
13.3%
. 170
11.4%
5 146
9.8%
2 146
9.8%
3 137
9.2%
0 126
8.5%
9 118
7.9%
4 117
7.9%
8 110
7.4%
7 102
6.9%
Other values (4) 117
7.9%
Hangul
ValueCountFrequency (%)
조 5
50.0%
성 5
50.0%

Missing values

2023-12-12T14:51:24.367492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T14:51:24.456841image/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

공원 구분공원명소재지(지번)면적(제곱미터)
0소공원뒷골취락경기도 부천시 고강동225-7500
1소공원고강취락경기도 부천시 고강동250-17900
2소공원163호경기도 부천시 약대동208800
3소공원167호경기도 부천시 중동1117번지2000.3
4소공원169호경기도 부천시 소사본동425번지1070
5소공원190호경기도 부천시 중동7781787.8
6소공원소담경기도 부천시 송내동317-11189.7
7소공원110호경기도 부천시 여월동461130.7
8소공원111호경기도 부천시 여월동44-281044
9소공원113호경기도 부천시 춘의동103-11059
공원 구분공원명소재지(지번)면적(제곱미터)
253체육공원287호 체육공원경기도 부천시 범박동8-7일원8970
254체육공원337호 체육공원경기도 부천시 원종동50-315321
255도시농업338호공원경기도 부천시 대장동 294-1 일원95961
256가로341호공원경기도 부천시 대장동 684-12 일원1752
257가로342호공원경기도 부천시 대장동 656 일원5535
258가로343호공원경기도 부천시 대장동 584 일원5857
259가로344호공원경기도 부천시 대장동 527 일원5505
260가로345호공원경기도 부천시 대장동 302-8 일원5486
261가로346호공원경기도 부천시 오정동 43-8 일원7318
262가로347호공원경기도 부천시 원종동 92-3 일원6585