Overview

Dataset statistics

Number of variables15
Number of observations92
Missing cells85
Missing cells (%)6.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.3 KiB
Average record size in memory125.4 B

Variable types

Numeric4
Text3
Categorical6
DateTime2

Dataset

Description인천광역시 서구에 위치한 공원 어린이놀이터 현황에 관한 데이터셋입니다. 인천광역시 서구에 위치한 공원 어린이놀이터 현황의 공원명, 공원구분, 소재지주소에 관한 정보를 포함하고 있습니다.
Author인천광역시 서구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15090776&srcSe=7661IVAWM27C61E190

Alerts

공원구분 has constant value ""Constant
관리기관명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
전화번호 is highly overall correlated with 연번 and 2 other fieldsHigh correlation
공원보유시설(운동시설) is highly overall correlated with 공원보유시설(편익시설)High correlation
공원보유시설(편익시설) is highly overall correlated with 연번 and 6 other fieldsHigh correlation
공원보유시설(유희시설) is highly overall correlated with 공원보유시설(편익시설)High correlation
연번 is highly overall correlated with 경도 and 2 other fieldsHigh correlation
위도 is highly overall correlated with 공원보유시설(편익시설) and 1 other fieldsHigh correlation
경도 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
공원면적 is highly overall correlated with 공원보유시설(편익시설)High correlation
공원보유시설(운동시설) is highly imbalanced (56.3%)Imbalance
공원보유시설(유희시설) is highly imbalanced (54.7%)Imbalance
공원보유시설(기타시설) has 85 (92.4%) missing valuesMissing
연번 has unique valuesUnique
공원명 has unique valuesUnique
소재지주소 has unique valuesUnique
경도 has unique valuesUnique

Reproduction

Analysis started2024-03-13 05:37:23.675504
Analysis finished2024-03-13 05:37:27.472478
Duration3.8 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct92
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.5
Minimum1
Maximum92
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size960.0 B
2024-03-13T14:37:27.608189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.55
Q123.75
median46.5
Q369.25
95-th percentile87.45
Maximum92
Range91
Interquartile range (IQR)45.5

Descriptive statistics

Standard deviation26.70206
Coefficient of variation (CV)0.57423785
Kurtosis-1.2
Mean46.5
Median Absolute Deviation (MAD)23
Skewness0
Sum4278
Variance713
MonotonicityStrictly increasing
2024-03-13T14:37:27.753641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.1%
60 1
 
1.1%
69 1
 
1.1%
68 1
 
1.1%
67 1
 
1.1%
66 1
 
1.1%
65 1
 
1.1%
64 1
 
1.1%
63 1
 
1.1%
62 1
 
1.1%
Other values (82) 82
89.1%
ValueCountFrequency (%)
1 1
1.1%
2 1
1.1%
3 1
1.1%
4 1
1.1%
5 1
1.1%
6 1
1.1%
7 1
1.1%
8 1
1.1%
9 1
1.1%
10 1
1.1%
ValueCountFrequency (%)
92 1
1.1%
91 1
1.1%
90 1
1.1%
89 1
1.1%
88 1
1.1%
87 1
1.1%
86 1
1.1%
85 1
1.1%
84 1
1.1%
83 1
1.1%

공원명
Text

UNIQUE 

Distinct92
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size868.0 B
2024-03-13T14:37:28.035851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length14
Mean length7.25
Min length4

Characters and Unicode

Total characters667
Distinct characters128
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

Unique92 ?
Unique (%)100.0%

Sample

1st row모통공원
2nd row신촌공원
3rd row석남체육공원
4th row건지공원
5th row여우재공원
ValueCountFrequency (%)
어린이공원 26
 
20.5%
검단1지구 4
 
3.1%
검단2지구 3
 
2.4%
1호 2
 
1.6%
원당지구 2
 
1.6%
5호 2
 
1.6%
불로지구1호 1
 
0.8%
마전지구4호 1
 
0.8%
마전지구3호 1
 
0.8%
마전지구2호 1
 
0.8%
Other values (84) 84
66.1%
2024-03-13T14:37:28.476253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
95
 
14.2%
94
 
14.1%
35
 
5.2%
30
 
4.5%
30
 
4.5%
30
 
4.5%
29
 
4.3%
28
 
4.2%
26
 
3.9%
11
 
1.6%
Other values (118) 259
38.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 587
88.0%
Space Separator 35
 
5.2%
Decimal Number 35
 
5.2%
Close Punctuation 5
 
0.7%
Open Punctuation 5
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
95
16.2%
94
16.0%
30
 
5.1%
30
 
5.1%
30
 
5.1%
29
 
4.9%
28
 
4.8%
26
 
4.4%
11
 
1.9%
10
 
1.7%
Other values (108) 204
34.8%
Decimal Number
ValueCountFrequency (%)
1 8
22.9%
2 8
22.9%
3 5
14.3%
5 5
14.3%
4 5
14.3%
6 3
 
8.6%
7 1
 
2.9%
Space Separator
ValueCountFrequency (%)
35
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 587
88.0%
Common 80
 
12.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
95
16.2%
94
16.0%
30
 
5.1%
30
 
5.1%
30
 
5.1%
29
 
4.9%
28
 
4.8%
26
 
4.4%
11
 
1.9%
10
 
1.7%
Other values (108) 204
34.8%
Common
ValueCountFrequency (%)
35
43.8%
1 8
 
10.0%
2 8
 
10.0%
3 5
 
6.2%
5 5
 
6.2%
) 5
 
6.2%
( 5
 
6.2%
4 5
 
6.2%
6 3
 
3.8%
7 1
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 587
88.0%
ASCII 80
 
12.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
95
16.2%
94
16.0%
30
 
5.1%
30
 
5.1%
30
 
5.1%
29
 
4.9%
28
 
4.8%
26
 
4.4%
11
 
1.9%
10
 
1.7%
Other values (108) 204
34.8%
ASCII
ValueCountFrequency (%)
35
43.8%
1 8
 
10.0%
2 8
 
10.0%
3 5
 
6.2%
5 5
 
6.2%
) 5
 
6.2%
( 5
 
6.2%
4 5
 
6.2%
6 3
 
3.8%
7 1
 
1.2%

공원구분
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size868.0 B
어린이공원
92 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
어린이공원 92
100.0%

Length

2024-03-13T14:37:28.625702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T14:37:28.714025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
어린이공원 92
100.0%

소재지주소
Text

UNIQUE 

Distinct92
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size868.0 B
2024-03-13T14:37:28.977933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length21
Mean length17.793478
Min length15

Characters and Unicode

Total characters1637
Distinct characters56
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

Unique92 ?
Unique (%)100.0%

Sample

1st row인천광역시 서구 심곡동 301-3
2nd row인천광역시 서구 건지로153번길 25-13
3rd row인천광역시 서구 가정로294번길 20
4th row인천광역시 서구 198-11
5th row인천광역시 서구 고래울로 7
ValueCountFrequency (%)
인천광역시 92
24.9%
서구 92
24.9%
청라동 17
 
4.6%
마전동 12
 
3.3%
심곡동 11
 
3.0%
검암동 7
 
1.9%
연희동 6
 
1.6%
당하동 5
 
1.4%
불로동 5
 
1.4%
경서동 4
 
1.1%
Other values (107) 118
32.0%
2024-03-13T14:37:29.394752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
277
16.9%
96
 
5.9%
92
 
5.6%
92
 
5.6%
92
 
5.6%
92
 
5.6%
92
 
5.6%
92
 
5.6%
83
 
5.1%
1 77
 
4.7%
Other values (46) 552
33.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 930
56.8%
Decimal Number 367
 
22.4%
Space Separator 277
 
16.9%
Dash Punctuation 63
 
3.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
96
10.3%
92
9.9%
92
9.9%
92
9.9%
92
9.9%
92
9.9%
92
9.9%
83
8.9%
18
 
1.9%
17
 
1.8%
Other values (34) 164
17.6%
Decimal Number
ValueCountFrequency (%)
1 77
21.0%
3 43
11.7%
0 40
10.9%
7 37
10.1%
5 36
9.8%
2 36
9.8%
6 28
 
7.6%
4 27
 
7.4%
9 22
 
6.0%
8 21
 
5.7%
Space Separator
ValueCountFrequency (%)
277
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 63
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 930
56.8%
Common 707
43.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
96
10.3%
92
9.9%
92
9.9%
92
9.9%
92
9.9%
92
9.9%
92
9.9%
83
8.9%
18
 
1.9%
17
 
1.8%
Other values (34) 164
17.6%
Common
ValueCountFrequency (%)
277
39.2%
1 77
 
10.9%
- 63
 
8.9%
3 43
 
6.1%
0 40
 
5.7%
7 37
 
5.2%
5 36
 
5.1%
2 36
 
5.1%
6 28
 
4.0%
4 27
 
3.8%
Other values (2) 43
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 930
56.8%
ASCII 707
43.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
277
39.2%
1 77
 
10.9%
- 63
 
8.9%
3 43
 
6.1%
0 40
 
5.7%
7 37
 
5.2%
5 36
 
5.1%
2 36
 
5.1%
6 28
 
4.0%
4 27
 
3.8%
Other values (2) 43
 
6.1%
Hangul
ValueCountFrequency (%)
96
10.3%
92
9.9%
92
9.9%
92
9.9%
92
9.9%
92
9.9%
92
9.9%
83
8.9%
18
 
1.9%
17
 
1.8%
Other values (34) 164
17.6%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct91
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.558617
Minimum37.484632
Maximum37.614189
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size960.0 B
2024-03-13T14:37:29.600338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.484632
5-th percentile37.491755
Q137.538498
median37.550523
Q337.595367
95-th percentile37.612735
Maximum37.614189
Range0.1295567
Interquartile range (IQR)0.056868675

Descriptive statistics

Standard deviation0.036564915
Coefficient of variation (CV)0.00097354261
Kurtosis-0.87111862
Mean37.558617
Median Absolute Deviation (MAD)0.02670485
Skewness-0.094655713
Sum3455.3928
Variance0.001336993
MonotonicityNot monotonic
2024-03-13T14:37:29.759147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.5449856 2
 
2.2%
37.589173 1
 
1.1%
37.59646892 1
 
1.1%
37.6140487 1
 
1.1%
37.613458 1
 
1.1%
37.6132753 1
 
1.1%
37.611397 1
 
1.1%
37.6111548 1
 
1.1%
37.5889434 1
 
1.1%
37.5911071 1
 
1.1%
Other values (81) 81
88.0%
ValueCountFrequency (%)
37.4846322 1
1.1%
37.486735 1
1.1%
37.4877055 1
1.1%
37.4884973 1
1.1%
37.4904297 1
1.1%
37.4928388 1
1.1%
37.49373418 1
1.1%
37.5008657 1
1.1%
37.5079641 1
1.1%
37.5103556 1
1.1%
ValueCountFrequency (%)
37.6141889 1
1.1%
37.6140487 1
1.1%
37.6137045 1
1.1%
37.613458 1
1.1%
37.6132753 1
1.1%
37.6122937 1
1.1%
37.6120302 1
1.1%
37.611397 1
1.1%
37.6111548 1
1.1%
37.6105344 1
1.1%

경도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct92
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.66544
Minimum126.62085
Maximum126.70119
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size960.0 B
2024-03-13T14:37:29.911333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.62085
5-th percentile126.62664
Q1126.65518
median126.67186
Q3126.67905
95-th percentile126.68686
Maximum126.70119
Range0.0803328
Interquartile range (IQR)0.023874725

Descriptive statistics

Standard deviation0.019517821
Coefficient of variation (CV)0.00015408955
Kurtosis-0.24953209
Mean126.66544
Median Absolute Deviation (MAD)0.011499
Skewness-0.80649687
Sum11653.221
Variance0.00038094534
MonotonicityNot monotonic
2024-03-13T14:37:30.058182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.6790235 1
 
1.1%
126.6779557 1
 
1.1%
126.6267908 1
 
1.1%
126.6552669 1
 
1.1%
126.6580456 1
 
1.1%
126.6607064 1
 
1.1%
126.662364 1
 
1.1%
126.6653734 1
 
1.1%
126.6710222 1
 
1.1%
126.6700029 1
 
1.1%
Other values (82) 82
89.1%
ValueCountFrequency (%)
126.6208535 1
1.1%
126.6230541 1
1.1%
126.6239982 1
1.1%
126.6261902 1
1.1%
126.6266205 1
1.1%
126.6266635 1
1.1%
126.6267908 1
1.1%
126.626807 1
1.1%
126.6272089 1
1.1%
126.6299053 1
1.1%
ValueCountFrequency (%)
126.7011863 1
1.1%
126.6981125 1
1.1%
126.6895831 1
1.1%
126.6876411 1
1.1%
126.6873944 1
1.1%
126.6864181 1
1.1%
126.6861606 1
1.1%
126.6858816 1
1.1%
126.6853666 1
1.1%
126.6853344 1
1.1%

공원면적
Real number (ℝ)

HIGH CORRELATION 

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3560.3
Minimum1347
Maximum33837
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size960.0 B
2024-03-13T14:37:30.232502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1347
5-th percentile1508.5
Q12031.95
median2563.5
Q33707.5
95-th percentile8046.905
Maximum33837
Range32490
Interquartile range (IQR)1675.55

Descriptive statistics

Standard deviation3755.1262
Coefficient of variation (CV)1.0547219
Kurtosis46.920793
Mean3560.3
Median Absolute Deviation (MAD)594.55
Skewness6.0973379
Sum327547.6
Variance14100973
MonotonicityNot monotonic
2024-03-13T14:37:30.374351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6612.0 2
 
2.2%
2104.0 2
 
2.2%
2066.0 2
 
2.2%
3335.0 1
 
1.1%
2561.0 1
 
1.1%
1502.0 1
 
1.1%
3861.0 1
 
1.1%
1576.0 1
 
1.1%
2135.0 1
 
1.1%
1803.0 1
 
1.1%
Other values (79) 79
85.9%
ValueCountFrequency (%)
1347.0 1
1.1%
1500.0 1
1.1%
1501.0 1
1.1%
1502.0 1
1.1%
1503.0 1
1.1%
1513.0 1
1.1%
1533.0 1
1.1%
1544.8 1
1.1%
1576.0 1
1.1%
1669.0 1
1.1%
ValueCountFrequency (%)
33837.0 1
1.1%
10880.0 1
1.1%
9604.6 1
1.1%
8963.9 1
1.1%
8118.9 1
1.1%
7988.0 1
1.1%
7446.0 1
1.1%
7280.0 1
1.1%
6984.0 1
1.1%
6612.0 2
2.2%

공원보유시설(운동시설)
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct8
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size868.0 B
<NA>
69 
농구장
13 
운동장
 
4
배드민턴장
 
2
배드민턴장, 농구장, 족구장
 
1
Other values (3)
 
3

Length

Max length15
Median length4
Mean length4
Min length3

Unique

Unique4 ?
Unique (%)4.3%

Sample

1st row농구장
2nd row농구장
3rd row배드민턴장, 농구장, 족구장
4th row배드민턴장
5th row다목적구장

Common Values

ValueCountFrequency (%)
<NA> 69
75.0%
농구장 13
 
14.1%
운동장 4
 
4.3%
배드민턴장 2
 
2.2%
배드민턴장, 농구장, 족구장 1
 
1.1%
다목적구장 1
 
1.1%
족구장 1
 
1.1%
인라인스케이트장 1
 
1.1%

Length

2024-03-13T14:37:30.565069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T14:37:30.697448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 69
73.4%
농구장 14
 
14.9%
운동장 4
 
4.3%
배드민턴장 3
 
3.2%
족구장 2
 
2.1%
다목적구장 1
 
1.1%
인라인스케이트장 1
 
1.1%

공원보유시설(유희시설)
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size868.0 B
조합놀이대
74 
조합놀이대, 그네
14 
조합놀이대, 흔들놀이
 
2
조합놀이대, 시소
 
2

Length

Max length11
Median length5
Mean length5.826087
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row조합놀이대
2nd row조합놀이대
3rd row조합놀이대, 그네
4th row조합놀이대, 그네
5th row조합놀이대, 그네

Common Values

ValueCountFrequency (%)
조합놀이대 74
80.4%
조합놀이대, 그네 14
 
15.2%
조합놀이대, 흔들놀이 2
 
2.2%
조합놀이대, 시소 2
 
2.2%

Length

2024-03-13T14:37:30.840135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T14:37:30.950163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
조합놀이대 92
83.6%
그네 14
 
12.7%
흔들놀이 2
 
1.8%
시소 2
 
1.8%

공원보유시설(편익시설)
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size868.0 B
<NA>
73 
화장실
19 

Length

Max length4
Median length4
Mean length3.7934783
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 73
79.3%
화장실 19
 
20.7%

Length

2024-03-13T14:37:31.081697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T14:37:31.206066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 73
79.3%
화장실 19
 
20.7%
Distinct4
Distinct (%)57.1%
Missing85
Missing (%)92.4%
Memory size868.0 B
2024-03-13T14:37:31.337926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length4
Mean length6.4285714
Min length4

Characters and Unicode

Total characters45
Distinct characters12
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

Unique3 ?
Unique (%)42.9%

Sample

1st row수경시설
2nd row민방위급수시설, 수경시설
3rd row경로당, 수경시설
4th row민방위급수시설
5th row수경시설
ValueCountFrequency (%)
수경시설 6
66.7%
민방위급수시설 2
 
22.2%
경로당 1
 
11.1%
2024-03-13T14:37:31.614323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8
17.8%
8
17.8%
8
17.8%
7
15.6%
2
 
4.4%
2
 
4.4%
2
 
4.4%
2
 
4.4%
, 2
 
4.4%
2
 
4.4%
Other values (2) 2
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 41
91.1%
Other Punctuation 2
 
4.4%
Space Separator 2
 
4.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
8
19.5%
8
19.5%
8
19.5%
7
17.1%
2
 
4.9%
2
 
4.9%
2
 
4.9%
2
 
4.9%
1
 
2.4%
1
 
2.4%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 41
91.1%
Common 4
 
8.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
8
19.5%
8
19.5%
8
19.5%
7
17.1%
2
 
4.9%
2
 
4.9%
2
 
4.9%
2
 
4.9%
1
 
2.4%
1
 
2.4%
Common
ValueCountFrequency (%)
, 2
50.0%
2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 41
91.1%
ASCII 4
 
8.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
8
19.5%
8
19.5%
8
19.5%
7
17.1%
2
 
4.9%
2
 
4.9%
2
 
4.9%
2
 
4.9%
1
 
2.4%
1
 
2.4%
ASCII
ValueCountFrequency (%)
, 2
50.0%
2
50.0%
Distinct17
Distinct (%)18.5%
Missing0
Missing (%)0.0%
Memory size868.0 B
Minimum1969-02-12 00:00:00
Maximum2017-04-10 00:00:00
2024-03-13T14:37:31.765025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T14:37:31.919074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size868.0 B
인천광역시 서구청
92 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row인천광역시 서구청
2nd row인천광역시 서구청
3rd row인천광역시 서구청
4th row인천광역시 서구청
5th row인천광역시 서구청

Common Values

ValueCountFrequency (%)
인천광역시 서구청 92
100.0%

Length

2024-03-13T14:37:32.067744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T14:37:32.171184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인천광역시 92
50.0%
서구청 92
50.0%

전화번호
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size868.0 B
032-718-1575
31 
032-560-4804
29 
032-560-3033
19 
032-560-4494
12 
032-560-4800
 
1

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique1 ?
Unique (%)1.1%

Sample

1st row032-560-4804
2nd row032-560-4494
3rd row032-560-4494
4th row032-560-4494
5th row032-560-4494

Common Values

ValueCountFrequency (%)
032-718-1575 31
33.7%
032-560-4804 29
31.5%
032-560-3033 19
20.7%
032-560-4494 12
 
13.0%
032-560-4800 1
 
1.1%

Length

2024-03-13T14:37:32.286480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T14:37:32.417256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
032-718-1575 31
33.7%
032-560-4804 29
31.5%
032-560-3033 19
20.7%
032-560-4494 12
 
13.0%
032-560-4800 1
 
1.1%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size868.0 B
Minimum2022-09-01 00:00:00
Maximum2022-09-01 00:00:00
2024-03-13T14:37:32.528288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T14:37:32.627573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-13T14:37:26.354262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T14:37:24.328364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T14:37:24.763584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T14:37:25.342799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T14:37:26.466201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T14:37:24.404525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T14:37:24.881849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T14:37:25.456350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T14:37:26.609480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T14:37:24.512835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T14:37:25.032248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T14:37:26.012253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T14:37:26.740711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T14:37:24.653030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T14:37:25.208003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T14:37:26.182429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-13T14:37:32.720262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번공원명소재지주소위도경도공원면적공원보유시설(운동시설)공원보유시설(유희시설)공원보유시설(기타시설)지정고시일전화번호
연번1.0001.0001.0000.8940.7230.2840.0000.1700.0000.8990.974
공원명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
위도0.8941.0001.0001.0000.5670.3880.0000.3100.2030.9380.959
경도0.7231.0001.0000.5671.0000.0000.3280.4490.0000.7530.769
공원면적0.2841.0001.0000.3880.0001.0000.6200.0000.0000.8600.333
공원보유시설(운동시설)0.0001.0001.0000.0000.3280.6201.0000.1460.0000.0000.088
공원보유시설(유희시설)0.1701.0001.0000.3100.4490.0000.1461.0001.0000.8000.166
공원보유시설(기타시설)0.0001.0001.0000.2030.0000.0000.0001.0001.0001.0000.000
지정고시일0.8991.0001.0000.9380.7530.8600.0000.8001.0001.0000.991
전화번호0.9741.0001.0000.9590.7690.3330.0880.1660.0000.9911.000
2024-03-13T14:37:33.186758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
전화번호공원보유시설(운동시설)공원보유시설(편익시설)공원보유시설(유희시설)
전화번호1.0000.0001.0000.133
공원보유시설(운동시설)0.0001.0001.0000.000
공원보유시설(편익시설)1.0001.0001.0001.000
공원보유시설(유희시설)0.1330.0001.0001.000
2024-03-13T14:37:33.292858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도공원면적공원보유시설(운동시설)공원보유시설(유희시설)공원보유시설(편익시설)전화번호
연번1.0000.147-0.6010.0080.0000.0931.0000.751
위도0.1471.0000.022-0.2140.0000.1801.0000.699
경도-0.6010.0221.000-0.1360.1530.2731.0000.411
공원면적0.008-0.214-0.1361.0000.4520.0001.0000.276
공원보유시설(운동시설)0.0000.0000.1530.4521.0000.0001.0000.000
공원보유시설(유희시설)0.0930.1800.2730.0000.0001.0001.0000.133
공원보유시설(편익시설)1.0001.0001.0001.0001.0001.0001.0001.000
전화번호0.7510.6990.4110.2760.0000.1331.0001.000

Missing values

2024-03-13T14:37:26.947180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T14:37:27.333625image/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

연번공원명공원구분소재지주소위도경도공원면적공원보유시설(운동시설)공원보유시설(유희시설)공원보유시설(편익시설)공원보유시설(기타시설)지정고시일관리기관명전화번호데이터기준일자
01모통공원어린이공원인천광역시 서구 심곡동 301-337.542331126.6790233003.0농구장조합놀이대화장실<NA>1989-11-24인천광역시 서구청032-560-48042022-09-01
12신촌공원어린이공원인천광역시 서구 건지로153번길 25-1337.507964126.6697136612.0농구장조합놀이대화장실수경시설1969-02-12인천광역시 서구청032-560-44942022-09-01
23석남체육공원어린이공원인천광역시 서구 가정로294번길 2037.510356126.67502410880.0배드민턴장, 농구장, 족구장조합놀이대, 그네화장실<NA>1969-02-12인천광역시 서구청032-560-44942022-09-01
34건지공원어린이공원인천광역시 서구 198-1137.493734126.6793337988.0배드민턴장조합놀이대, 그네화장실<NA>1975-05-16인천광역시 서구청032-560-44942022-09-01
45여우재공원어린이공원인천광역시 서구 고래울로 737.488497126.6853341501.0다목적구장조합놀이대, 그네화장실<NA>1981-09-24인천광역시 서구청032-560-44942022-09-01
56가좌울공원어린이공원인천광역시 서구 고래울로 3537.486735126.6861611920.0족구장조합놀이대화장실<NA>1981-09-24인천광역시 서구청032-560-44942022-09-01
67한신공원어린이공원인천광역시 서구 가좌동 39737.484632126.6873943001.0농구장조합놀이대화장실<NA>1981-09-24인천광역시 서구청032-560-44942022-09-01
78가좌공원어린이공원인천광역시 서구 고래울로 1037.487705126.6841117280.0인라인스케이트장조합놀이대, 그네화장실민방위급수시설, 수경시설1981-09-24인천광역시 서구청032-560-44942022-09-01
89장고개공원어린이공원인천광역시 서구 가좌동 30737.49043126.6876414278.0<NA>조합놀이대화장실<NA>1982-03-16인천광역시 서구청032-560-44942022-09-01
910가정공원어린이공원인천광역시 서구 가정로 406번길 1037.520755126.6738016612.0<NA>조합놀이대화장실경로당, 수경시설1988-03-01인천광역시 서구청032-560-44942022-09-01
연번공원명공원구분소재지주소위도경도공원면적공원보유시설(운동시설)공원보유시설(유희시설)공원보유시설(편익시설)공원보유시설(기타시설)지정고시일관리기관명전화번호데이터기준일자
8283뜰어린이공원어린이공원인천광역시 서구 청라동 125-537.53768126.654859604.6<NA>조합놀이대화장실수경시설2006-11-21인천광역시 서구청032-560-30332022-09-01
8384능안어린이공원어린이공원인천광역시 서구 청라동 131-137.539944126.6603411963.7<NA>조합놀이대<NA><NA>2006-11-21인천광역시 서구청032-560-30332022-09-01
8485봉수대공원어린이공원인천광역시 서구 청라동 131-2937.538394126.6618323275.9<NA>조합놀이대<NA><NA>2006-11-21인천광역시 서구청032-560-30332022-09-01
8586거울어린이공원어린이공원인천광역시 서구 청라동 192-237.528189126.6549158963.9<NA>조합놀이대화장실<NA>2006-11-21인천광역시 서구청032-560-30332022-09-01
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