Overview

Dataset statistics

Number of variables5
Number of observations58
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.6 KiB
Average record size in memory45.3 B

Variable types

Text2
Numeric3

Dataset

Description인천광역시 연수구 구도심 내 공원현황의 데이터로 공원명, 소재지 지번주소, 위도, 경도, 공원면적 등의 항목을 제공합니다.
Author인천광역시 연수구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15113725&srcSe=7661IVAWM27C61E190

Alerts

공원명 has unique valuesUnique
소재지 지번주소 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique

Reproduction

Analysis started2024-04-06 09:46:29.856918
Analysis finished2024-04-06 09:46:32.210496
Duration2.35 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

공원명
Text

UNIQUE 

Distinct58
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size596.0 B
2024-04-06T18:46:32.514590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length4
Mean length5
Min length3

Characters and Unicode

Total characters290
Distinct characters95
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

Unique58 ?
Unique (%)100.0%

Sample

1st row용담공원
2nd row청학공원
3rd row솔밭공원
4th row솔안공원
5th row양지공원
ValueCountFrequency (%)
동춘2구역 5
 
7.9%
효정공원 1
 
1.6%
문남공원 1
 
1.6%
물푸레공원 1
 
1.6%
일단지공원 1
 
1.6%
늘봄공원 1
 
1.6%
샘말공원 1
 
1.6%
연일공원 1
 
1.6%
백제우물공원 1
 
1.6%
성호공원 1
 
1.6%
Other values (49) 49
77.8%
2024-04-06T18:46:33.193533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 59
20.3%
공 58
20.0%
동 13
 
4.5%
춘 11
 
3.8%
2 6
 
2.1%
5
 
1.7%
역 5
 
1.7%
청 5
 
1.7%
학 5
 
1.7%
구 5
 
1.7%
Other values (85) 118
40.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 275
94.8%
Decimal Number 10
 
3.4%
Space Separator 5
 
1.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 59
21.5%
공 58
21.1%
동 13
 
4.7%
춘 11
 
4.0%
역 5
 
1.8%
청 5
 
1.8%
학 5
 
1.8%
구 5
 
1.8%
나 4
 
1.5%
지 4
 
1.5%
Other values (79) 106
38.5%
Decimal Number
ValueCountFrequency (%)
2 6
60.0%
5 1
 
10.0%
4 1
 
10.0%
3 1
 
10.0%
1 1
 
10.0%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 275
94.8%
Common 15
 
5.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 59
21.5%
공 58
21.1%
동 13
 
4.7%
춘 11
 
4.0%
역 5
 
1.8%
청 5
 
1.8%
학 5
 
1.8%
구 5
 
1.8%
나 4
 
1.5%
지 4
 
1.5%
Other values (79) 106
38.5%
Common
ValueCountFrequency (%)
2 6
40.0%
5
33.3%
5 1
 
6.7%
4 1
 
6.7%
3 1
 
6.7%
1 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 275
94.8%
ASCII 15
 
5.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 59
21.5%
공 58
21.1%
동 13
 
4.7%
춘 11
 
4.0%
역 5
 
1.8%
청 5
 
1.8%
학 5
 
1.8%
구 5
 
1.8%
나 4
 
1.5%
지 4
 
1.5%
Other values (79) 106
38.5%
ASCII
ValueCountFrequency (%)
2 6
40.0%
5
33.3%
5 1
 
6.7%
4 1
 
6.7%
3 1
 
6.7%
1 1
 
6.7%

소재지 지번주소
Text

UNIQUE 

Distinct58
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size596.0 B
2024-04-06T18:46:33.583610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length18.603448
Min length17

Characters and Unicode

Total characters1079
Distinct characters28
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

Unique58 ?
Unique (%)100.0%

Sample

1st row인천광역시 연수구 청학동 467
2nd row인천광역시 연수구 청학동 501
3rd row인천광역시 연수구 연수동 582-1
4th row인천광역시 연수구 연수동 634-2
5th row인천광역시 연수구 연수동 594-1
ValueCountFrequency (%)
인천광역시 58
25.0%
연수구 58
25.0%
청학동 15
 
6.5%
연수동 14
 
6.0%
동춘동 14
 
6.0%
선학동 9
 
3.9%
옥련동 6
 
2.6%
551-5 1
 
0.4%
101-2 1
 
0.4%
944-23 1
 
0.4%
Other values (55) 55
23.7%
2024-04-06T18:46:34.233264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
174
16.1%
연 72
 
6.7%
수 72
 
6.7%
동 72
 
6.7%
인 58
 
5.4%
천 58
 
5.4%
광 58
 
5.4%
역 58
 
5.4%
시 58
 
5.4%
구 58
 
5.4%
Other values (18) 341
31.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 641
59.4%
Decimal Number 221
 
20.5%
Space Separator 174
 
16.1%
Dash Punctuation 43
 
4.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
연 72
11.2%
수 72
11.2%
동 72
11.2%
인 58
9.0%
천 58
9.0%
광 58
9.0%
역 58
9.0%
시 58
9.0%
구 58
9.0%
학 24
 
3.7%
Other values (6) 53
8.3%
Decimal Number
ValueCountFrequency (%)
5 42
19.0%
4 36
16.3%
1 32
14.5%
3 26
11.8%
2 24
10.9%
9 20
9.0%
6 14
 
6.3%
0 12
 
5.4%
8 8
 
3.6%
7 7
 
3.2%
Space Separator
ValueCountFrequency (%)
174
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 43
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 641
59.4%
Common 438
40.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
연 72
11.2%
수 72
11.2%
동 72
11.2%
인 58
9.0%
천 58
9.0%
광 58
9.0%
역 58
9.0%
시 58
9.0%
구 58
9.0%
학 24
 
3.7%
Other values (6) 53
8.3%
Common
ValueCountFrequency (%)
174
39.7%
- 43
 
9.8%
5 42
 
9.6%
4 36
 
8.2%
1 32
 
7.3%
3 26
 
5.9%
2 24
 
5.5%
9 20
 
4.6%
6 14
 
3.2%
0 12
 
2.7%
Other values (2) 15
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 641
59.4%
ASCII 438
40.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
174
39.7%
- 43
 
9.8%
5 42
 
9.6%
4 36
 
8.2%
1 32
 
7.3%
3 26
 
5.9%
2 24
 
5.5%
9 20
 
4.6%
6 14
 
3.2%
0 12
 
2.7%
Other values (2) 15
 
3.4%
Hangul
ValueCountFrequency (%)
연 72
11.2%
수 72
11.2%
동 72
11.2%
인 58
9.0%
천 58
9.0%
광 58
9.0%
역 58
9.0%
시 58
9.0%
구 58
9.0%
학 24
 
3.7%
Other values (6) 53
8.3%

위도
Real number (ℝ)

UNIQUE 

Distinct58
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.418144
Minimum37.39948
Maximum37.43002
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size654.0 B
2024-04-06T18:46:34.469603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.39948
5-th percentile37.402493
Q137.412532
median37.420485
Q337.42467
95-th percentile37.428789
Maximum37.43002
Range0.03054
Interquartile range (IQR)0.0121375

Descriptive statistics

Standard deviation0.0084648173
Coefficient of variation (CV)0.00022622227
Kurtosis-0.67270228
Mean37.418144
Median Absolute Deviation (MAD)0.005315
Skewness-0.70199425
Sum2170.2523
Variance7.1653133 × 10-5
MonotonicityNot monotonic
2024-04-06T18:46:34.758743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.41966 1
 
1.7%
37.41917 1
 
1.7%
37.4132 1
 
1.7%
37.41449 1
 
1.7%
37.41944 1
 
1.7%
37.42642 1
 
1.7%
37.4234 1
 
1.7%
37.42358 1
 
1.7%
37.42584 1
 
1.7%
37.42279 1
 
1.7%
Other values (48) 48
82.8%
ValueCountFrequency (%)
37.39948 1
1.7%
37.40049 1
1.7%
37.40245 1
1.7%
37.4025 1
1.7%
37.40275 1
1.7%
37.4036 1
1.7%
37.40537 1
1.7%
37.40683 1
1.7%
37.40693 1
1.7%
37.40784 1
1.7%
ValueCountFrequency (%)
37.43002 1
1.7%
37.42965 1
1.7%
37.42901 1
1.7%
37.42875 1
1.7%
37.4266 1
1.7%
37.42655 1
1.7%
37.42642 1
1.7%
37.42622 1
1.7%
37.42617 1
1.7%
37.42601 1
1.7%

경도
Real number (ℝ)

UNIQUE 

Distinct58
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.67451
Minimum126.64253
Maximum126.69952
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size654.0 B
2024-04-06T18:46:35.016751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.64253
5-th percentile126.65352
Q1126.66641
median126.67188
Q3126.68224
95-th percentile126.69772
Maximum126.69952
Range0.05699
Interquartile range (IQR)0.015835

Descriptive statistics

Standard deviation0.01362135
Coefficient of variation (CV)0.00010753031
Kurtosis-0.33322492
Mean126.67451
Median Absolute Deviation (MAD)0.007455
Skewness0.18057654
Sum7347.1219
Variance0.00018554118
MonotonicityNot monotonic
2024-04-06T18:46:35.306025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.67382 1
 
1.7%
126.67017 1
 
1.7%
126.67854 1
 
1.7%
126.6808 1
 
1.7%
126.69162 1
 
1.7%
126.67015 1
 
1.7%
126.66795 1
 
1.7%
126.66532 1
 
1.7%
126.66413 1
 
1.7%
126.67097 1
 
1.7%
Other values (48) 48
82.8%
ValueCountFrequency (%)
126.64253 1
1.7%
126.6492 1
1.7%
126.65179 1
1.7%
126.65383 1
1.7%
126.65412 1
1.7%
126.65788 1
1.7%
126.66009 1
1.7%
126.66171 1
1.7%
126.66361 1
1.7%
126.66413 1
1.7%
ValueCountFrequency (%)
126.69952 1
1.7%
126.69857 1
1.7%
126.69846 1
1.7%
126.69759 1
1.7%
126.69701 1
1.7%
126.69682 1
1.7%
126.69676 1
1.7%
126.69663 1
1.7%
126.69547 1
1.7%
126.69162 1
1.7%

공원면적
Real number (ℝ)

Distinct53
Distinct (%)91.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9171.0948
Minimum309.1
Maximum103616.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size654.0 B
2024-04-06T18:46:35.567229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum309.1
5-th percentile1283.135
Q11526.9
median4684.05
Q310190.225
95-th percentile29212.745
Maximum103616.6
Range103307.5
Interquartile range (IQR)8663.325

Descriptive statistics

Standard deviation15316.38
Coefficient of variation (CV)1.670071
Kurtosis25.648165
Mean9171.0948
Median Absolute Deviation (MAD)3184.05
Skewness4.5272507
Sum531923.5
Variance2.3459148 × 108
MonotonicityNot monotonic
2024-04-06T18:46:35.870780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1500.0 4
 
6.9%
10000.1 2
 
3.4%
1500.2 2
 
3.4%
30112.3 1
 
1.7%
6199.9 1
 
1.7%
2456.4 1
 
1.7%
2625.1 1
 
1.7%
5037.7 1
 
1.7%
2990.3 1
 
1.7%
1467.1 1
 
1.7%
Other values (43) 43
74.1%
ValueCountFrequency (%)
309.1 1
 
1.7%
573.0 1
 
1.7%
993.2 1
 
1.7%
1334.3 1
 
1.7%
1425.1 1
 
1.7%
1446.7 1
 
1.7%
1467.1 1
 
1.7%
1500.0 4
6.9%
1500.1 1
 
1.7%
1500.2 2
3.4%
ValueCountFrequency (%)
103616.6 1
1.7%
41908.8 1
1.7%
30112.3 1
1.7%
29054.0 1
1.7%
28549.3 1
1.7%
21810.9 1
1.7%
20000.0 1
1.7%
19001.3 1
1.7%
18866.0 1
1.7%
13580.7 1
1.7%

Interactions

2024-04-06T18:46:31.367426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:46:30.217368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:46:30.833114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:46:31.533331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:46:30.485593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:46:31.013827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:46:31.733593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:46:30.670793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:46:31.201517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-06T18:46:36.016512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공원명소재지 지번주소위도경도공원면적
공원명1.0001.0001.0001.0001.000
소재지 지번주소1.0001.0001.0001.0001.000
위도1.0001.0001.0000.0000.000
경도1.0001.0000.0001.0000.614
공원면적1.0001.0000.0000.6141.000
2024-04-06T18:46:36.184563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도공원면적
위도1.0000.018-0.424
경도0.0181.0000.346
공원면적-0.4240.3461.000

Missing values

2024-04-06T18:46:31.984698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T18:46:32.145746image/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
0용담공원인천광역시 연수구 청학동 46737.41966126.6738230112.3
1청학공원인천광역시 연수구 청학동 50137.41603126.6746610681.2
2솔밭공원인천광역시 연수구 연수동 582-137.41678126.6891728549.3
3솔안공원인천광역시 연수구 연수동 634-237.41231126.6828513580.7
4양지공원인천광역시 연수구 연수동 594-137.41538126.6784210253.6
5대학공원인천광역시 연수구 연수동 58037.42183126.68498103616.6
6문화공원인천광역시 연수구 연수동 57837.41812126.6823541908.8
7푸른송도배수지공원인천광역시 연수구 동춘동 559-2237.40049126.6636129054.0
8동춘공원인천광역시 연수구 동춘동 938-237.40878126.6701810000.1
9동막공원인천광역시 연수구 동춘동 932-237.4036126.6737410000.1
공원명소재지 지번주소위도경도공원면적
48풍림공원인천광역시 연수구 동춘동 929-137.39948126.671825137.9
49동남공원인천광역시 연수구 동춘동 943-137.40245126.669483000.1
50청량공원인천광역시 연수구 동춘동 923-437.41136126.673558583.0
51동춘2구역 동춘3공원인천광역시 연수구 동춘동 30337.40828126.665791500.0
52동춘2구역 동춘4공원인천광역시 연수구 동춘동 514-237.40275126.66651673.0
53대암공원인천광역시 연수구 옥련동 582-237.41641126.654123306.0
54반딧불이공원인천광역시 연수구 청학동 504-637.42576126.668751334.3
55동춘2구역 동춘5공원인천광역시 연수구 동춘동 944-2337.4025126.66691573.0
56물푸레공원인천광역시 연수구 청학동 101-237.42484126.66009309.1
57연수체육공원인천광역시 연수구 연수동 63637.40784126.6855320000.0