Overview

Dataset statistics

Number of variables8
Number of observations114
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.5 KiB
Average record size in memory67.2 B

Variable types

Numeric2
Text2
DateTime3
Categorical1

Dataset

Description해당 데이터는 인천광역시 남동구의 어린이놀이터 안전검사 결과에 관련된 자료로서, 인천광역시 남동구 어린이놀이터 안전검사 결과의 지연번, 공원명, 위치, 안전검사 최종합격일, 안전검사 유효기간, 시설번호, 비고의 정보를 확인할 수 있다.<br/>
Author인천광역시 남동구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15104546&srcSe=7661IVAWM27C61E190

Alerts

데이터기준일 has constant value ""Constant
비고 is highly imbalanced (68.8%)Imbalance
연번 has unique valuesUnique
공원명 has unique valuesUnique

Reproduction

Analysis started2024-04-06 09:42:52.693248
Analysis finished2024-04-06 09:42:53.580919
Duration0.89 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct114
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean57.5
Minimum1
Maximum114
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-06T18:42:53.654160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.65
Q129.25
median57.5
Q385.75
95-th percentile108.35
Maximum114
Range113
Interquartile range (IQR)56.5

Descriptive statistics

Standard deviation33.052988
Coefficient of variation (CV)0.57483457
Kurtosis-1.2
Mean57.5
Median Absolute Deviation (MAD)28.5
Skewness0
Sum6555
Variance1092.5
MonotonicityStrictly increasing
2024-04-06T18:42:53.801088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.9%
87 1
 
0.9%
85 1
 
0.9%
84 1
 
0.9%
83 1
 
0.9%
82 1
 
0.9%
81 1
 
0.9%
80 1
 
0.9%
79 1
 
0.9%
78 1
 
0.9%
Other values (104) 104
91.2%
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 (%)
114 1
0.9%
113 1
0.9%
112 1
0.9%
111 1
0.9%
110 1
0.9%
109 1
0.9%
108 1
0.9%
107 1
0.9%
106 1
0.9%
105 1
0.9%

공원명
Text

UNIQUE 

Distinct114
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-04-06T18:42:54.145303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length4.5175439
Min length2

Characters and Unicode

Total characters515
Distinct characters160
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

Unique114 ?
Unique (%)100.0%

Sample

1st row가온공원(논현12공원)
2nd row간석육교
3rd row갯골
4th row전재울
5th row걸재
ValueCountFrequency (%)
무지개(구월보금자리 2
 
1.7%
가온공원(논현12공원 1
 
0.9%
오봉-2 1
 
0.9%
장승백이 1
 
0.9%
장수천 1
 
0.9%
장수사거리 1
 
0.9%
장다리 1
 
0.9%
작은성말 1
 
0.9%
작은구월 1
 
0.9%
인수 1
 
0.9%
Other values (105) 105
90.5%
2024-04-06T18:42:54.630897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 25
 
4.9%
25
 
4.9%
25
 
4.9%
) 25
 
4.9%
14
 
2.7%
13
 
2.5%
1 13
 
2.5%
12
 
2.3%
2 11
 
2.1%
10
 
1.9%
Other values (150) 342
66.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 419
81.4%
Decimal Number 40
 
7.8%
Open Punctuation 25
 
4.9%
Close Punctuation 25
 
4.9%
Dash Punctuation 4
 
0.8%
Space Separator 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
25
 
6.0%
25
 
6.0%
14
 
3.3%
13
 
3.1%
12
 
2.9%
10
 
2.4%
10
 
2.4%
9
 
2.1%
9
 
2.1%
8
 
1.9%
Other values (137) 284
67.8%
Decimal Number
ValueCountFrequency (%)
1 13
32.5%
2 11
27.5%
3 4
 
10.0%
5 3
 
7.5%
7 2
 
5.0%
4 2
 
5.0%
8 2
 
5.0%
6 2
 
5.0%
9 1
 
2.5%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 419
81.4%
Common 96
 
18.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
25
 
6.0%
25
 
6.0%
14
 
3.3%
13
 
3.1%
12
 
2.9%
10
 
2.4%
10
 
2.4%
9
 
2.1%
9
 
2.1%
8
 
1.9%
Other values (137) 284
67.8%
Common
ValueCountFrequency (%)
( 25
26.0%
) 25
26.0%
1 13
13.5%
2 11
11.5%
3 4
 
4.2%
- 4
 
4.2%
5 3
 
3.1%
2
 
2.1%
7 2
 
2.1%
4 2
 
2.1%
Other values (3) 5
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 419
81.4%
ASCII 96
 
18.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 25
26.0%
) 25
26.0%
1 13
13.5%
2 11
11.5%
3 4
 
4.2%
- 4
 
4.2%
5 3
 
3.1%
2
 
2.1%
7 2
 
2.1%
4 2
 
2.1%
Other values (3) 5
 
5.2%
Hangul
ValueCountFrequency (%)
25
 
6.0%
25
 
6.0%
14
 
3.3%
13
 
3.1%
12
 
2.9%
10
 
2.4%
10
 
2.4%
9
 
2.1%
9
 
2.1%
8
 
1.9%
Other values (137) 284
67.8%

위치
Text

Distinct110
Distinct (%)96.5%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-04-06T18:42:54.940523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length22
Mean length9.4122807
Min length6

Characters and Unicode

Total characters1073
Distinct characters33
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

Unique106 ?
Unique (%)93.0%

Sample

1st row논현동 586-1
2nd row간석4동 587-15
3rd row논현동 553-1
4th row구월동 1501
5th row서창동 573-1
ValueCountFrequency (%)
논현동 34
 
14.9%
서창동 10
 
4.4%
구월1동 8
 
3.5%
도림동 7
 
3.1%
만수6동 7
 
3.1%
구월3동 6
 
2.6%
5
 
2.2%
간석4동 5
 
2.2%
장수동 4
 
1.8%
간석3동 4
 
1.8%
Other values (124) 138
60.5%
2024-04-06T18:42:55.373488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
115
 
10.7%
114
 
10.6%
1 91
 
8.5%
- 86
 
8.0%
6 66
 
6.2%
5 62
 
5.8%
3 58
 
5.4%
4 54
 
5.0%
2 46
 
4.3%
7 45
 
4.2%
Other values (23) 336
31.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 518
48.3%
Other Letter 350
32.6%
Space Separator 115
 
10.7%
Dash Punctuation 86
 
8.0%
Other Punctuation 4
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
114
32.6%
35
 
10.0%
35
 
10.0%
24
 
6.9%
20
 
5.7%
20
 
5.7%
19
 
5.4%
14
 
4.0%
14
 
4.0%
13
 
3.7%
Other values (10) 42
 
12.0%
Decimal Number
ValueCountFrequency (%)
1 91
17.6%
6 66
12.7%
5 62
12.0%
3 58
11.2%
4 54
10.4%
2 46
8.9%
7 45
8.7%
9 34
 
6.6%
0 32
 
6.2%
8 30
 
5.8%
Space Separator
ValueCountFrequency (%)
115
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 86
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 723
67.4%
Hangul 350
32.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
114
32.6%
35
 
10.0%
35
 
10.0%
24
 
6.9%
20
 
5.7%
20
 
5.7%
19
 
5.4%
14
 
4.0%
14
 
4.0%
13
 
3.7%
Other values (10) 42
 
12.0%
Common
ValueCountFrequency (%)
115
15.9%
1 91
12.6%
- 86
11.9%
6 66
9.1%
5 62
8.6%
3 58
8.0%
4 54
7.5%
2 46
 
6.4%
7 45
 
6.2%
9 34
 
4.7%
Other values (3) 66
9.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 723
67.4%
Hangul 350
32.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
115
15.9%
1 91
12.6%
- 86
11.9%
6 66
9.1%
5 62
8.6%
3 58
8.0%
4 54
7.5%
2 46
 
6.4%
7 45
 
6.2%
9 34
 
4.7%
Other values (3) 66
9.1%
Hangul
ValueCountFrequency (%)
114
32.6%
35
 
10.0%
35
 
10.0%
24
 
6.9%
20
 
5.7%
20
 
5.7%
19
 
5.4%
14
 
4.0%
14
 
4.0%
13
 
3.7%
Other values (10) 42
 
12.0%
Distinct36
Distinct (%)31.6%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
Minimum2021-06-07 00:00:00
Maximum2024-01-09 00:00:00
2024-04-06T18:42:55.541007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:42:55.757568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
Distinct45
Distinct (%)39.5%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
Minimum2023-06-13 00:00:00
Maximum2026-01-27 00:00:00
2024-04-06T18:42:55.988610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:42:56.207233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)

시설번호
Real number (ℝ)

Distinct113
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean174240.18
Minimum418
Maximum582618
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-06T18:42:56.334214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum418
5-th percentile1873.65
Q126082
median28810
Q3538868.75
95-th percentile578775.95
Maximum582618
Range582200
Interquartile range (IQR)512786.75

Descriptive statistics

Standard deviation243048.26
Coefficient of variation (CV)1.3949037
Kurtosis-1.0271526
Mean174240.18
Median Absolute Deviation (MAD)7093.5
Skewness0.98731384
Sum19863380
Variance5.9072457 × 1010
MonotonicityNot monotonic
2024-04-06T18:42:56.465286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1874 2
 
1.8%
1884 1
 
0.9%
1013 1
 
0.9%
23118 1
 
0.9%
23887 1
 
0.9%
35903 1
 
0.9%
23889 1
 
0.9%
23890 1
 
0.9%
34551 1
 
0.9%
36904 1
 
0.9%
Other values (103) 103
90.4%
ValueCountFrequency (%)
418 1
0.9%
419 1
0.9%
605 1
0.9%
999 1
0.9%
1013 1
0.9%
1873 1
0.9%
1874 2
1.8%
1875 1
0.9%
1876 1
0.9%
1877 1
0.9%
ValueCountFrequency (%)
582618 1
0.9%
582617 1
0.9%
581963 1
0.9%
580981 1
0.9%
580846 1
0.9%
579112 1
0.9%
578595 1
0.9%
577280 1
0.9%
577279 1
0.9%
577043 1
0.9%

비고
Categorical

IMBALANCE 

Distinct4
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
<NA>
102 
유아숲체험원
 
6
물놀이
 
5
모험놀이
 
1

Length

Max length6
Median length4
Mean length4.0614035
Min length3

Unique

Unique1 ?
Unique (%)0.9%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row유아숲체험원
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 102
89.5%
유아숲체험원 6
 
5.3%
물놀이 5
 
4.4%
모험놀이 1
 
0.9%

Length

2024-04-06T18:42:56.824851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:42:56.931005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 102
89.5%
유아숲체험원 6
 
5.3%
물놀이 5
 
4.4%
모험놀이 1
 
0.9%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
Minimum2024-02-16 00:00:00
Maximum2024-02-16 00:00:00
2024-04-06T18:42:57.017284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:42:57.104098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-04-06T18:42:53.211221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:42:53.048678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:42:53.292832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:42:53.125779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-06T18:42:57.174562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번안전검사 최종합격일안전검사 유효기간시설번호비고
연번1.0000.2570.3820.5700.470
안전검사 최종합격일0.2571.0000.9960.7651.000
안전검사 유효기간0.3820.9961.0000.8691.000
시설번호0.5700.7650.8691.0000.000
비고0.4701.0001.0000.0001.000
2024-04-06T18:42:57.301793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시설번호비고
연번1.0000.2210.309
시설번호0.2211.0000.000
비고0.3090.0001.000

Missing values

2024-04-06T18:42:53.413653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T18:42:53.532400image/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

연번공원명위치안전검사 최종합격일안전검사 유효기간시설번호비고데이터기준일
01가온공원(논현12공원)논현동 586-12022-03-142024-04-101884<NA>2024-02-16
12간석육교간석4동 587-152023-08-302025-09-1734888<NA>2024-02-16
23갯골논현동 553-12022-02-282024-03-2627206<NA>2024-02-16
34전재울구월동 15012023-07-042025-07-15569664유아숲체험원2024-02-16
45걸재서창동 573-12022-03-182024-04-1723886<NA>2024-02-16
56고잔논현동 732-32022-03-142024-04-1025750<NA>2024-02-16
67골마루만수6동 1049-12023-05-192025-06-1031957<NA>2024-02-16
78구룡서창동 550-42022-03-182024-04-1731243<NA>2024-02-16
89구월근린구월2동 12462023-07-242025-07-2523282물놀이2024-02-16
910구월문화구월3동 13502022-06-212024-06-3027090<NA>2024-02-16
연번공원명위치안전검사 최종합격일안전검사 유효기간시설번호비고데이터기준일
104105갯마을-1논현동 664-32023-02-012025-02-15577042<NA>2024-02-16
105106갯마을-2논현동 664-32023-02-012025-02-19577043<NA>2024-02-16
106107서창13녹지서창동 552-42023-05-162025-05-20577279<NA>2024-02-16
107108서창15녹지서창동 557-102023-01-172025-01-1823972<NA>2024-02-16
108109찬우물구우러동 15222023-08-312025-09-12579112<NA>2024-02-16
109110산밑말만수동 산1-312024-01-092026-01-09580981<NA>2024-02-16
110111석촌간석동 5-72024-01-092026-01-27580846<NA>2024-02-16
111112남동문화구월동 643-32023-05-192025-06-10582618유아숲체험원2024-02-16
112113늘솔길2논현동 763-12022-06-132024-06-12582617유아숲체험원2024-02-16
113114어울2서창동 6812023-08-312025-09-10581963모험놀이2024-02-16