Overview

Dataset statistics

Number of variables5
Number of observations32
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.5 KiB
Average record size in memory47.1 B

Variable types

Text2
Numeric3

Dataset

Description연수구청에서 관리하는 공원현황(송도)의 데이터로 공원명, 소재지 지번주소, 위도, 경도, 공원면적 등의 항목을 제공합니다.
Author인천광역시 연수구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15113724&srcSe=7661IVAWM27C61E190

Alerts

공원명 has unique valuesUnique
소재지 지번주소 has unique valuesUnique

Reproduction

Analysis started2024-01-28 09:30:36.372574
Analysis finished2024-01-28 09:30:37.241576
Duration0.87 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

공원명
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2024-01-28T18:30:37.376725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.25
Min length4

Characters and Unicode

Total characters328
Distinct characters74
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

Unique32 ?
Unique (%)100.0%

Sample

1st row구름공원(송도10호)
2nd row잎새공원(송도11호)
3rd row도란도란공원(송도12호)
4th row차오름공원(송도13호)
5th row먼우금공원(송도1호)
ValueCountFrequency (%)
구름공원(송도10호 1
 
3.1%
잎새공원(송도11호 1
 
3.1%
송도누리공원 1
 
3.1%
햇무리공원(국제4호 1
 
3.1%
해누리공원(국제3호 1
 
3.1%
해맑은공원(국제2호 1
 
3.1%
해찬솔공원(국제1호 1
 
3.1%
어울림공원(첨단5호 1
 
3.1%
첨단4호근린공원 1
 
3.1%
혜윰공원(첨단3호 1
 
3.1%
Other values (22) 22
68.8%
2024-01-28T18:30:37.656248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 32
 
9.8%
공 31
 
9.5%
호 29
 
8.8%
) 26
 
7.9%
( 26
 
7.9%
도 24
 
7.3%
송 21
 
6.4%
1 12
 
3.7%
3 7
 
2.1%
2 6
 
1.8%
Other values (64) 114
34.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 238
72.6%
Decimal Number 38
 
11.6%
Close Punctuation 26
 
7.9%
Open Punctuation 26
 
7.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 32
13.4%
공 31
13.0%
호 29
 
12.2%
도 24
 
10.1%
송 21
 
8.8%
단 6
 
2.5%
첨 6
 
2.5%
해 5
 
2.1%
국 4
 
1.7%
리 4
 
1.7%
Other values (52) 76
31.9%
Decimal Number
ValueCountFrequency (%)
1 12
31.6%
3 7
18.4%
2 6
15.8%
4 4
 
10.5%
6 2
 
5.3%
7 2
 
5.3%
5 2
 
5.3%
9 1
 
2.6%
0 1
 
2.6%
8 1
 
2.6%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 238
72.6%
Common 90
 
27.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 32
13.4%
공 31
13.0%
호 29
 
12.2%
도 24
 
10.1%
송 21
 
8.8%
단 6
 
2.5%
첨 6
 
2.5%
해 5
 
2.1%
국 4
 
1.7%
리 4
 
1.7%
Other values (52) 76
31.9%
Common
ValueCountFrequency (%)
) 26
28.9%
( 26
28.9%
1 12
13.3%
3 7
 
7.8%
2 6
 
6.7%
4 4
 
4.4%
6 2
 
2.2%
7 2
 
2.2%
5 2
 
2.2%
9 1
 
1.1%
Other values (2) 2
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 238
72.6%
ASCII 90
 
27.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 32
13.4%
공 31
13.0%
호 29
 
12.2%
도 24
 
10.1%
송 21
 
8.8%
단 6
 
2.5%
첨 6
 
2.5%
해 5
 
2.1%
국 4
 
1.7%
리 4
 
1.7%
Other values (52) 76
31.9%
ASCII
ValueCountFrequency (%)
) 26
28.9%
( 26
28.9%
1 12
13.3%
3 7
 
7.8%
2 6
 
6.7%
4 4
 
4.4%
6 2
 
2.2%
7 2
 
2.2%
5 2
 
2.2%
9 1
 
1.1%
Other values (2) 2
 
2.2%

소재지 지번주소
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2024-01-28T18:30:37.829670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length18.34375
Min length16

Characters and Unicode

Total characters587
Distinct characters23
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

Unique32 ?
Unique (%)100.0%

Sample

1st row인천광역시 연수구 송도동 16-5
2nd row인천광역시 연수구 송도동 16-14
3rd row인천광역시 연수구 송도동 19-4
4th row인천광역시 연수구 송도동 19-8
5th row인천광역시 연수구 송도동 2-8
ValueCountFrequency (%)
인천광역시 32
25.0%
송도동 32
25.0%
연수구 32
25.0%
190-1 1
 
0.8%
166 1
 
0.8%
159-2 1
 
0.8%
158-3 1
 
0.8%
147 1
 
0.8%
192-4 1
 
0.8%
191-7 1
 
0.8%
Other values (25) 25
19.5%
2024-01-28T18:30:38.095808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
96
16.4%
1 34
 
5.8%
인 32
 
5.5%
구 32
 
5.5%
천 32
 
5.5%
도 32
 
5.5%
송 32
 
5.5%
동 32
 
5.5%
수 32
 
5.5%
연 32
 
5.5%
Other values (13) 201
34.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 352
60.0%
Decimal Number 110
 
18.7%
Space Separator 96
 
16.4%
Dash Punctuation 29
 
4.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 32
9.1%
구 32
9.1%
천 32
9.1%
도 32
9.1%
송 32
9.1%
동 32
9.1%
수 32
9.1%
연 32
9.1%
시 32
9.1%
역 32
9.1%
Decimal Number
ValueCountFrequency (%)
1 34
30.9%
9 12
 
10.9%
3 12
 
10.9%
2 11
 
10.0%
0 9
 
8.2%
6 7
 
6.4%
4 7
 
6.4%
7 7
 
6.4%
8 6
 
5.5%
5 5
 
4.5%
Space Separator
ValueCountFrequency (%)
96
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 29
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 352
60.0%
Common 235
40.0%

Most frequent character per script

Common
ValueCountFrequency (%)
96
40.9%
1 34
 
14.5%
- 29
 
12.3%
9 12
 
5.1%
3 12
 
5.1%
2 11
 
4.7%
0 9
 
3.8%
6 7
 
3.0%
4 7
 
3.0%
7 7
 
3.0%
Other values (2) 11
 
4.7%
Hangul
ValueCountFrequency (%)
인 32
9.1%
구 32
9.1%
천 32
9.1%
도 32
9.1%
송 32
9.1%
동 32
9.1%
수 32
9.1%
연 32
9.1%
시 32
9.1%
역 32
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 352
60.0%
ASCII 235
40.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
96
40.9%
1 34
 
14.5%
- 29
 
12.3%
9 12
 
5.1%
3 12
 
5.1%
2 11
 
4.7%
0 9
 
3.8%
6 7
 
3.0%
4 7
 
3.0%
7 7
 
3.0%
Other values (2) 11
 
4.7%
Hangul
ValueCountFrequency (%)
인 32
9.1%
구 32
9.1%
천 32
9.1%
도 32
9.1%
송 32
9.1%
동 32
9.1%
수 32
9.1%
연 32
9.1%
시 32
9.1%
역 32
9.1%

위도
Real number (ℝ)

Distinct31
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.384166
Minimum37.361564
Maximum37.402519
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-01-28T18:30:38.209795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.361564
5-th percentile37.365536
Q137.37856
median37.383666
Q337.391157
95-th percentile37.399793
Maximum37.402519
Range0.040955
Interquartile range (IQR)0.01259675

Descriptive statistics

Standard deviation0.010271162
Coefficient of variation (CV)0.00027474632
Kurtosis-0.1521137
Mean37.384166
Median Absolute Deviation (MAD)0.0059985
Skewness-0.31329763
Sum1196.2933
Variance0.00010549677
MonotonicityNot monotonic
2024-01-28T18:30:38.586212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
37.387881 2
 
6.2%
37.402519 1
 
3.1%
37.400026 1
 
3.1%
37.37923 1
 
3.1%
37.378658 1
 
3.1%
37.381327 1
 
3.1%
37.382817 1
 
3.1%
37.384256 1
 
3.1%
37.388428 1
 
3.1%
37.37254 1
 
3.1%
Other values (21) 21
65.6%
ValueCountFrequency (%)
37.361564 1
3.1%
37.36258 1
3.1%
37.367954 1
3.1%
37.37254 1
3.1%
37.373706 1
3.1%
37.374139 1
3.1%
37.378156 1
3.1%
37.378266 1
3.1%
37.378658 1
3.1%
37.37923 1
3.1%
ValueCountFrequency (%)
37.402519 1
3.1%
37.400026 1
3.1%
37.399603 1
3.1%
37.398012 1
3.1%
37.394646 1
3.1%
37.394285 1
3.1%
37.392679 1
3.1%
37.392281 1
3.1%
37.390782 1
3.1%
37.390153 1
3.1%

경도
Real number (ℝ)

Distinct31
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.64996
Minimum126.61852
Maximum126.67135
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-01-28T18:30:38.679851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.61852
5-th percentile126.62974
Q1126.64244
median126.65097
Q3126.65955
95-th percentile126.66668
Maximum126.67135
Range0.052837
Interquartile range (IQR)0.017111

Descriptive statistics

Standard deviation0.012695119
Coefficient of variation (CV)0.00010023785
Kurtosis-0.14079184
Mean126.64996
Median Absolute Deviation (MAD)0.0086615
Skewness-0.57614263
Sum4052.7987
Variance0.00016116605
MonotonicityNot monotonic
2024-01-28T18:30:38.779316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
126.631469 2
 
6.2%
126.642598 1
 
3.1%
126.627623 1
 
3.1%
126.661734 1
 
3.1%
126.65569 1
 
3.1%
126.665958 1
 
3.1%
126.663744 1
 
3.1%
126.659871 1
 
3.1%
126.66757 1
 
3.1%
126.655662 1
 
3.1%
Other values (21) 21
65.6%
ValueCountFrequency (%)
126.618516 1
3.1%
126.627623 1
3.1%
126.631469 2
6.2%
126.632112 1
3.1%
126.637614 1
3.1%
126.640146 1
3.1%
126.642115 1
3.1%
126.642542 1
3.1%
126.642598 1
3.1%
126.645577 1
3.1%
ValueCountFrequency (%)
126.671353 1
3.1%
126.66757 1
3.1%
126.665958 1
3.1%
126.663744 1
3.1%
126.663387 1
3.1%
126.661734 1
3.1%
126.661199 1
3.1%
126.659871 1
3.1%
126.659438 1
3.1%
126.65697 1
3.1%

공원면적
Real number (ℝ)

Distinct29
Distinct (%)90.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14373.109
Minimum1488.2
Maximum83568.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-01-28T18:30:38.885663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1488.2
5-th percentile1498.77
Q11500.1
median7215.95
Q320020
95-th percentile46565.76
Maximum83568.7
Range82080.5
Interquartile range (IQR)18519.9

Descriptive statistics

Standard deviation18694.922
Coefficient of variation (CV)1.3006874
Kurtosis5.3507525
Mean14373.109
Median Absolute Deviation (MAD)5716.2
Skewness2.1568147
Sum459939.5
Variance3.4950012 × 108
MonotonicityNot monotonic
2024-01-28T18:30:38.977186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
1500.1 2
 
6.2%
1499.8 2
 
6.2%
1499.7 2
 
6.2%
1999.9 1
 
3.1%
11791.8 1
 
3.1%
5150.7 1
 
3.1%
55703.9 1
 
3.1%
19350.3 1
 
3.1%
16357.8 1
 
3.1%
14180.4 1
 
3.1%
Other values (19) 19
59.4%
ValueCountFrequency (%)
1488.2 1
3.1%
1498.0 1
3.1%
1499.4 1
3.1%
1499.7 2
6.2%
1499.8 2
6.2%
1500.1 2
6.2%
1500.2 1
3.1%
1500.3 1
3.1%
1999.9 1
3.1%
2000.1 1
3.1%
ValueCountFrequency (%)
83568.7 1
3.1%
55703.9 1
3.1%
39089.1 1
3.1%
36436.5 1
3.1%
33476.9 1
3.1%
30161.6 1
3.1%
22088.1 1
3.1%
22029.1 1
3.1%
19350.3 1
3.1%
16357.8 1
3.1%

Interactions

2024-01-28T18:30:36.906889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T18:30:36.530435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T18:30:36.709019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T18:30:36.976913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T18:30:36.593809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T18:30:36.769376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T18:30:37.054897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T18:30:36.654962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T18:30:36.848141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T18:30:39.041597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공원명소재지 지번주소위도경도공원면적
공원명1.0001.0001.0001.0001.000
소재지 지번주소1.0001.0001.0001.0001.000
위도1.0001.0001.0000.7260.671
경도1.0001.0000.7261.0000.632
공원면적1.0001.0000.6710.6321.000
2024-01-28T18:30:39.115185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도공원면적
위도1.000-0.262-0.491
경도-0.2621.0000.166
공원면적-0.4910.1661.000

Missing values

2024-01-28T18:30:37.147010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T18:30:37.214592image/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

공원명소재지 지번주소위도경도공원면적
0구름공원(송도10호)인천광역시 연수구 송도동 16-537.402519126.6425981999.9
1잎새공원(송도11호)인천광역시 연수구 송도동 16-1437.399603126.6469092000.1
2도란도란공원(송도12호)인천광역시 연수구 송도동 19-437.398012126.6376141500.1
3차오름공원(송도13호)인천광역시 연수구 송도동 19-837.394646126.6425421499.8
4먼우금공원(송도1호)인천광역시 연수구 송도동 2-837.394285126.6543821499.8
5꽃마을공원(송도2호)인천광역시 연수구 송도동 3-1137.392281126.6508851498.0
6파도놀이공원(송도3호)인천광역시 연수구 송도동 2-1037.392679126.656971499.4
7뱃놀이공원(송도4호)인천광역시 연수구 송도동 3-3937.390782126.6552081499.7
8도담공원(송도5호)인천광역시 연수구 송도동 2-1337.390153126.6611991488.2
9새터공원(송도6호)인천광역시 연수구 송도동 3-4537.388195126.6594381500.1
공원명소재지 지번주소위도경도공원면적
22푸름공원(첨단2호)인천광역시 연수구 송도동 219-137.361564126.65041222088.1
23혜윰공원(첨단3호)인천광역시 연수구 송도동 199-237.367954126.66338730161.6
24첨단4호근린공원인천광역시 연수구 송도동 187-637.374139126.67135336436.5
25어울림공원(첨단5호)인천광역시 연수구 송도동 192-437.37254126.65566210424.4
26해찬솔공원(국제1호)인천광역시 연수구 송도동 14737.388428126.6675783568.7
27해맑은공원(국제2호)인천광역시 연수구 송도동 158-337.384256126.65987114180.4
28해누리공원(국제3호)인천광역시 연수구 송도동 159-237.382817126.66374416357.8
29햇무리공원(국제4호)인천광역시 연수구 송도동 16637.381327126.66595819350.3
30송도누리공원인천광역시 연수구 송도동 190-137.378658126.6556955703.9
31너울가지공원(테크2호)인천광역시 연수구 송도동 176-437.37923126.6617345150.7