Overview

Dataset statistics

Number of variables5
Number of observations110
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.5 KiB
Average record size in memory42.2 B

Variable types

Numeric1
Text2
Categorical2

Dataset

Description인천광역시 남동구 공원내 어린이놀이터 현황에 대한 데이터로 연번, 공원명, 소재지위치, 안전검사 최종합격일, 안전검사 유효기간, 특이사항 항목을 제공합니다.
Author인천광역시 남동구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15067675&srcSe=7661IVAWM27C61E190

Alerts

안전검사 최종합격일 is highly overall correlated with 안전검사 유효기간 High correlation
안전검사 유효기간 is highly overall correlated with 안전검사 최종합격일High correlation
연번 has unique valuesUnique
공원명 has unique valuesUnique

Reproduction

Analysis started2024-01-28 06:32:22.517188
Analysis finished2024-01-28 06:32:22.964248
Duration0.45 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct110
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55.5
Minimum1
Maximum110
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-01-28T15:32:23.021016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.45
Q128.25
median55.5
Q382.75
95-th percentile104.55
Maximum110
Range109
Interquartile range (IQR)54.5

Descriptive statistics

Standard deviation31.898276
Coefficient of variation (CV)0.57474371
Kurtosis-1.2
Mean55.5
Median Absolute Deviation (MAD)27.5
Skewness0
Sum6105
Variance1017.5
MonotonicityStrictly increasing
2024-01-28T15:32:23.125613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.9%
71 1
 
0.9%
82 1
 
0.9%
81 1
 
0.9%
80 1
 
0.9%
79 1
 
0.9%
78 1
 
0.9%
77 1
 
0.9%
76 1
 
0.9%
75 1
 
0.9%
Other values (100) 100
90.9%
ValueCountFrequency (%)
1 1
0.9%
2 1
0.9%
3 1
0.9%
4 1
0.9%
5 1
0.9%
6 1
0.9%
7 1
0.9%
8 1
0.9%
9 1
0.9%
10 1
0.9%
ValueCountFrequency (%)
110 1
0.9%
109 1
0.9%
108 1
0.9%
107 1
0.9%
106 1
0.9%
105 1
0.9%
104 1
0.9%
103 1
0.9%
102 1
0.9%
101 1
0.9%

공원명
Text

UNIQUE 

Distinct110
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1012.0 B
2024-01-28T15:32:23.324790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length7
Mean length8.2909091
Min length6

Characters and Unicode

Total characters912
Distinct characters161
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

Unique110 ?
Unique (%)100.0%

Sample

1st row전재울근린공원(유아숲)
2nd row성리어린이공원(물놀이장)
3rd row찬우물근린공원
4th row무지개어린이공원-1
5th row무지개어린이공원-2
ValueCountFrequency (%)
전재울근린공원(유아숲 1
 
0.9%
주적어린이공원 1
 
0.9%
산마루어린이공원 1
 
0.9%
은봉어린이공원 1
 
0.9%
논현중앙근린공원(유아숲 1
 
0.9%
논현중앙근린공원(놀이터 1
 
0.9%
메아리어린이공원 1
 
0.9%
하얀어린이공원 1
 
0.9%
오름어린이공원 1
 
0.9%
숲속어린이공원 1
 
0.9%
Other values (100) 100
90.9%
2024-01-28T15:32:23.631668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 109
 
12.0%
린 108
 
11.8%
공 108
 
11.8%
이 103
 
11.3%
어 92
 
10.1%
근 17
 
1.9%
( 16
 
1.8%
) 16
 
1.8%
장 13
 
1.4%
아 11
 
1.2%
Other values (151) 319
35.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 864
94.7%
Open Punctuation 16
 
1.8%
Close Punctuation 16
 
1.8%
Decimal Number 12
 
1.3%
Dash Punctuation 4
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 109
 
12.6%
린 108
 
12.5%
공 108
 
12.5%
이 103
 
11.9%
어 92
 
10.6%
근 17
 
2.0%
장 13
 
1.5%
아 11
 
1.3%
물 10
 
1.2%
지 8
 
0.9%
Other values (144) 285
33.0%
Decimal Number
ValueCountFrequency (%)
1 6
50.0%
2 3
25.0%
3 2
 
16.7%
5 1
 
8.3%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 864
94.7%
Common 48
 
5.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 109
 
12.6%
린 108
 
12.5%
공 108
 
12.5%
이 103
 
11.9%
어 92
 
10.6%
근 17
 
2.0%
장 13
 
1.5%
아 11
 
1.3%
물 10
 
1.2%
지 8
 
0.9%
Other values (144) 285
33.0%
Common
ValueCountFrequency (%)
( 16
33.3%
) 16
33.3%
1 6
 
12.5%
- 4
 
8.3%
2 3
 
6.2%
3 2
 
4.2%
5 1
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 864
94.7%
ASCII 48
 
5.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 109
 
12.6%
린 108
 
12.5%
공 108
 
12.5%
이 103
 
11.9%
어 92
 
10.6%
근 17
 
2.0%
장 13
 
1.5%
아 11
 
1.3%
물 10
 
1.2%
지 8
 
0.9%
Other values (144) 285
33.0%
ASCII
ValueCountFrequency (%)
( 16
33.3%
) 16
33.3%
1 6
 
12.5%
- 4
 
8.3%
2 3
 
6.2%
3 2
 
4.2%
5 1
 
2.1%

소재지위치
Text

Distinct106
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Memory size1012.0 B
2024-01-28T15:32:23.865013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length21
Mean length18.781818
Min length16

Characters and Unicode

Total characters2066
Distinct characters35
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

Unique102 ?
Unique (%)92.7%

Sample

1st row인천광역시 남동구 구월동 1501
2nd row인천광역시 남동구 구월동 1495
3rd row인천광역시 남동구 구월동 1522
4th row인천광역시 남동구 구월동 1509
5th row인천광역시 남동구 구월동 1509
ValueCountFrequency (%)
인천광역시 110
25.2%
남동구 110
25.2%
논현동 33
 
7.6%
구월동 16
 
3.7%
만수동 13
 
3.0%
간석동 12
 
2.8%
서창동 9
 
2.1%
도림동 7
 
1.6%
외 5
 
1.1%
장수동 4
 
0.9%
Other values (109) 117
26.8%
2024-01-28T15:32:24.191871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
328
15.9%
동 220
 
10.6%
구 129
 
6.2%
남 111
 
5.4%
인 110
 
5.3%
천 110
 
5.3%
광 110
 
5.3%
역 110
 
5.3%
시 110
 
5.3%
1 77
 
3.7%
Other values (25) 651
31.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1217
58.9%
Decimal Number 446
 
21.6%
Space Separator 328
 
15.9%
Dash Punctuation 75
 
3.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 220
18.1%
구 129
10.6%
남 111
9.1%
인 110
9.0%
천 110
9.0%
광 110
9.0%
역 110
9.0%
시 110
9.0%
현 34
 
2.8%
논 34
 
2.8%
Other values (13) 139
11.4%
Decimal Number
ValueCountFrequency (%)
1 77
17.3%
5 56
12.6%
6 52
11.7%
7 44
9.9%
3 42
9.4%
4 41
9.2%
2 41
9.2%
9 34
7.6%
0 31
7.0%
8 28
 
6.3%
Space Separator
ValueCountFrequency (%)
328
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 75
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1217
58.9%
Common 849
41.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 220
18.1%
구 129
10.6%
남 111
9.1%
인 110
9.0%
천 110
9.0%
광 110
9.0%
역 110
9.0%
시 110
9.0%
현 34
 
2.8%
논 34
 
2.8%
Other values (13) 139
11.4%
Common
ValueCountFrequency (%)
328
38.6%
1 77
 
9.1%
- 75
 
8.8%
5 56
 
6.6%
6 52
 
6.1%
7 44
 
5.2%
3 42
 
4.9%
4 41
 
4.8%
2 41
 
4.8%
9 34
 
4.0%
Other values (2) 59
 
6.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1217
58.9%
ASCII 849
41.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
328
38.6%
1 77
 
9.1%
- 75
 
8.8%
5 56
 
6.6%
6 52
 
6.1%
7 44
 
5.2%
3 42
 
4.9%
4 41
 
4.8%
2 41
 
4.8%
9 34
 
4.0%
Other values (2) 59
 
6.9%
Hangul
ValueCountFrequency (%)
동 220
18.1%
구 129
10.6%
남 111
9.1%
인 110
9.0%
천 110
9.0%
광 110
9.0%
역 110
9.0%
시 110
9.0%
현 34
 
2.8%
논 34
 
2.8%
Other values (13) 139
11.4%

안전검사 최종합격일
Categorical

HIGH CORRELATION 

Distinct32
Distinct (%)29.1%
Missing0
Missing (%)0.0%
Memory size1012.0 B
2022-03-14
13 
2023-05-19
13 
2022-06-21
12 
2022-03-18
8 
2021-08-27
7 
Other values (27)
57 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique14 ?
Unique (%)12.7%

Sample

1st row2021-06-15
2nd row2021-11-22
3rd row2021-09-13
4th row2021-11-22
5th row2021-11-22

Common Values

ValueCountFrequency (%)
2022-03-14 13
11.8%
2023-05-19 13
11.8%
2022-06-21 12
 
10.9%
2022-03-18 8
 
7.3%
2021-08-27 7
 
6.4%
2021-08-25 7
 
6.4%
2022-06-27 6
 
5.5%
2022-02-28 5
 
4.5%
2022-04-05 4
 
3.6%
2021-07-30 3
 
2.7%
Other values (22) 32
29.1%

Length

2024-01-28T15:32:24.292748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2022-03-14 13
11.8%
2023-05-19 13
11.8%
2022-06-21 12
 
10.9%
2022-03-18 8
 
7.3%
2021-08-27 7
 
6.4%
2021-08-25 7
 
6.4%
2022-06-27 6
 
5.5%
2022-02-28 5
 
4.5%
2022-04-05 4
 
3.6%
2021-07-30 3
 
2.7%
Other values (22) 32
29.1%

안전검사 유효기간
Categorical

HIGH CORRELATION 

Distinct38
Distinct (%)34.5%
Missing0
Missing (%)0.0%
Memory size1012.0 B
2024-04-10
19 
2024-06-30
12 
2025-06-13
9 
2023-09-17
9 
2024-04-17
8 
Other values (33)
53 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique22 ?
Unique (%)20.0%

Sample

1st row2023-07-15
2nd row2023-12-20
3rd row2023-09-12
4th row2023-12-20
5th row2023-12-20

Common Values

ValueCountFrequency (%)
2024-04-10 19
17.3%
2024-06-30 12
 
10.9%
2025-06-13 9
 
8.2%
2023-09-17 9
 
8.2%
2024-04-17 8
 
7.3%
2024-03-26 5
 
4.5%
2024-07-16 4
 
3.6%
2023-09-10 4
 
3.6%
2023-08-31 3
 
2.7%
2023-12-20 3
 
2.7%
Other values (28) 34
30.9%

Length

2024-01-28T15:32:24.372583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2024-04-10 19
17.3%
2024-06-30 12
 
10.9%
2025-06-13 9
 
8.2%
2023-09-17 9
 
8.2%
2024-04-17 8
 
7.3%
2024-03-26 5
 
4.5%
2024-07-16 4
 
3.6%
2023-09-10 4
 
3.6%
2023-08-31 3
 
2.7%
2023-12-20 3
 
2.7%
Other values (28) 34
30.9%

Interactions

2024-01-28T15:32:22.749927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T15:32:24.428398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번안전검사 최종합격일안전검사 유효기간
연번1.0000.8230.843
안전검사 최종합격일0.8231.0000.995
안전검사 유효기간0.8430.9951.000
2024-01-28T15:32:24.504969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
안전검사 유효기간안전검사 최종합격일
안전검사 유효기간1.0000.830
안전검사 최종합격일0.8301.000
2024-01-28T15:32:24.570111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번안전검사 최종합격일안전검사 유효기간
연번1.0000.4070.411
안전검사 최종합격일0.4071.0000.830
안전검사 유효기간0.4110.8301.000

Missing values

2024-01-28T15:32:22.855842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T15:32:22.932841image/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

연번공원명소재지위치안전검사 최종합격일안전검사 유효기간
01전재울근린공원(유아숲)인천광역시 남동구 구월동 15012021-06-152023-07-15
12성리어린이공원(물놀이장)인천광역시 남동구 구월동 14952021-11-222023-12-20
23찬우물근린공원인천광역시 남동구 구월동 15222021-09-132023-09-12
34무지개어린이공원-1인천광역시 남동구 구월동 15092021-11-222023-12-20
45무지개어린이공원-2인천광역시 남동구 구월동 15092021-11-222023-12-20
56큰구월어린이공원인천광역시 남동구 구월1동 1196-42021-07-302023-08-20
67만월어린이공원인천광역시 남동구 구월1동 1229-22022-04-192024-05-19
78작은성말어린이공원인천광역시 남동구 구월1동 1192-72021-08-272023-09-10
89독점어린이공원인천광역시 남동구 구월동 1215-32외2021-07-302023-08-07
910구월근린공원(물놀이장)인천광역시 남동구 구월동 12462021-06-282023-07-25
연번공원명소재지위치안전검사 최종합격일안전검사 유효기간
100101한아름근린공원(물놀이장)인천광역시 남동구 논현동 756-52022-10-042024-10-06
101102고잔어린이공원인천광역시 남동구 논현동 732-32022-03-142024-04-10
102103꿈꾸는어린이공원인천광역시 남동구 논현동 765-42022-04-052024-04-10
103104푸른어린이공원인천광역시 남동구 논현동 757-22022-03-142024-04-10
104105섬꽃어린이공원인천광역시 남동구 논현동 773-42022-03-142024-04-10
105106별빛어린이공원인천광역시 남동구 논현동 774-42022-03-142024-04-10
106107물방울어린이공원인천광역시 남동구 논현동 755-52022-03-142024-04-10
107108돌섬어린이공원인천광역시 남동구 논현동 749-52022-03-142024-04-10
108109모험어린이공원인천광역시 남동구 논현동 740-32022-03-142024-04-10
109110바람어린이공원인천광역시 남동구 논현동 739-52022-02-282024-03-26