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
Categorical8

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://www.data.go.kr/data/15090776/fileData.do

Alerts

공원구분 has constant value ""Constant
관리기관명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
전화번호 is highly overall correlated with 연번 and 3 other fieldsHigh correlation
지정고시일 is highly overall correlated with 연번 and 5 other fieldsHigh correlation
공원보유시설(편익시설) is highly overall correlated with 연번 and 7 other fieldsHigh correlation
공원보유시설(유희시설) is highly overall correlated with 공원보유시설(편익시설) and 1 other fieldsHigh correlation
공원보유시설(운동시설) is highly overall correlated with 공원보유시설(편익시설)High correlation
연번 is highly overall correlated with 경도 and 3 other fieldsHigh correlation
위도 is highly overall correlated with 공원보유시설(편익시설) and 2 other fieldsHigh correlation
경도 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
공원면적 is highly overall correlated with 공원보유시설(편익시설) and 1 other fieldsHigh 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 started2024-04-20 18:52:15.175638
Analysis finished2024-04-20 18:52:21.503917
Duration6.33 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 size956.0 B
2024-04-21T03:52:21.696105image/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
2024-04-21T03:52:22.110350image/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 size864.0 B
2024-04-21T03:52:23.058977image/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%
2024-04-21T03:52:24.419506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 95
 
14.2%
공 94
 
14.1%
35
 
5.2%
이 30
 
4.5%
린 30
 
4.5%
어 30
 
4.5%
호 29
 
4.3%
지 28
 
4.2%
구 26
 
3.9%
자 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 (%)
원 95
16.2%
공 94
16.0%
이 30
 
5.1%
린 30
 
5.1%
어 30
 
5.1%
호 29
 
4.9%
지 28
 
4.8%
구 26
 
4.4%
자 11
 
1.9%
리 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 (%)
원 95
16.2%
공 94
16.0%
이 30
 
5.1%
린 30
 
5.1%
어 30
 
5.1%
호 29
 
4.9%
지 28
 
4.8%
구 26
 
4.4%
자 11
 
1.9%
리 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 (%)
원 95
16.2%
공 94
16.0%
이 30
 
5.1%
린 30
 
5.1%
어 30
 
5.1%
호 29
 
4.9%
지 28
 
4.8%
구 26
 
4.4%
자 11
 
1.9%
리 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 size864.0 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

2024-04-21T03:52:24.817740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T03:52:25.093294image/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 size864.0 B
2024-04-21T03:52:26.073682image/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%
2024-04-21T03:52:27.273384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
277
16.9%
서 96
 
5.9%
인 92
 
5.6%
광 92
 
5.6%
역 92
 
5.6%
시 92
 
5.6%
구 92
 
5.6%
천 92
 
5.6%
동 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 (%)
서 96
10.3%
인 92
9.9%
광 92
9.9%
역 92
9.9%
시 92
9.9%
구 92
9.9%
천 92
9.9%
동 83
8.9%
청 18
 
1.9%
라 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 (%)
서 96
10.3%
인 92
9.9%
광 92
9.9%
역 92
9.9%
시 92
9.9%
구 92
9.9%
천 92
9.9%
동 83
8.9%
청 18
 
1.9%
라 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 (%)
서 96
10.3%
인 92
9.9%
광 92
9.9%
역 92
9.9%
시 92
9.9%
구 92
9.9%
천 92
9.9%
동 83
8.9%
청 18
 
1.9%
라 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 size956.0 B
2024-04-21T03:52:27.515037image/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
2024-04-21T03:52:27.778856image/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 size956.0 B
2024-04-21T03:52:28.043953image/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
2024-04-21T03:52:28.317496image/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 size956.0 B
2024-04-21T03:52:28.576710image/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
2024-04-21T03:52:29.044578image/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 size864.0 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

2024-04-21T03:52:29.292478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T03:52:29.482317image/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 size864.0 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

2024-04-21T03:52:29.707160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T03:52:29.892124image/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 size864.0 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

2024-04-21T03:52:30.085507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T03:52:30.262618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 73
79.3%
화장실 19
 
20.7%

공원보유시설(기타시설)
Text

MISSING 

Distinct4
Distinct (%)57.1%
Missing85
Missing (%)92.4%
Memory size864.0 B
2024-04-21T03:52:30.604438image/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%
2024-04-21T03:52:31.170033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
수 8
17.8%
시 8
17.8%
설 8
17.8%
경 7
15.6%
민 2
 
4.4%
방 2
 
4.4%
위 2
 
4.4%
급 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 (%)
수 8
19.5%
시 8
19.5%
설 8
19.5%
경 7
17.1%
민 2
 
4.9%
방 2
 
4.9%
위 2
 
4.9%
급 2
 
4.9%
로 1
 
2.4%
당 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 (%)
수 8
19.5%
시 8
19.5%
설 8
19.5%
경 7
17.1%
민 2
 
4.9%
방 2
 
4.9%
위 2
 
4.9%
급 2
 
4.9%
로 1
 
2.4%
당 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 (%)
수 8
19.5%
시 8
19.5%
설 8
19.5%
경 7
17.1%
민 2
 
4.9%
방 2
 
4.9%
위 2
 
4.9%
급 2
 
4.9%
로 1
 
2.4%
당 1
 
2.4%
ASCII
ValueCountFrequency (%)
, 2
50.0%
2
50.0%

지정고시일
Categorical

HIGH CORRELATION 

Distinct17
Distinct (%)18.5%
Missing0
Missing (%)0.0%
Memory size864.0 B
1999-06-23
23 
1989-11-24
19 
2006-11-21
18 
1993-09-28
11 
1981-09-24
4 
Other values (12)
17 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique9 ?
Unique (%)9.8%

Sample

1st row1989-11-24
2nd row1969-02-12
3rd row1969-02-12
4th row1975-05-16
5th row1981-09-24

Common Values

ValueCountFrequency (%)
1999-06-23 23
25.0%
1989-11-24 19
20.7%
2006-11-21 18
19.6%
1993-09-28 11
12.0%
1981-09-24 4
 
4.3%
1995-11-17 4
 
4.3%
1969-02-12 2
 
2.2%
1996-10-23 2
 
2.2%
1975-05-16 1
 
1.1%
2004-08-04 1
 
1.1%
Other values (7) 7
 
7.6%

Length

2024-04-21T03:52:31.372577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
1999-06-23 23
25.0%
1989-11-24 19
20.7%
2006-11-21 18
19.6%
1993-09-28 11
12.0%
1981-09-24 4
 
4.3%
1995-11-17 4
 
4.3%
1969-02-12 2
 
2.2%
1996-10-23 2
 
2.2%
1982-03-16 1
 
1.1%
1988-03-01 1
 
1.1%
Other values (7) 7
 
7.6%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size864.0 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

2024-04-21T03:52:31.562523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T03:52:31.795204image/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 size864.0 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

2024-04-21T03:52:32.096204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T03:52:32.408226image/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
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size864.0 B
2023-12-28
92 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-12-28
2nd row2023-12-28
3rd row2023-12-28
4th row2023-12-28
5th row2023-12-28

Common Values

ValueCountFrequency (%)
2023-12-28 92
100.0%

Length

2024-04-21T03:52:32.769330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T03:52:33.047835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-12-28 92
100.0%

Interactions

2024-04-21T03:52:19.508915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T03:52:16.451452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T03:52:17.429311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T03:52:18.461197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T03:52:19.745155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T03:52:16.675328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T03:52:17.668991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T03:52:18.705513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T03:52:20.007989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T03:52:16.925678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T03:52:17.930452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T03:52:18.972157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T03:52:20.277024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T03:52:17.182681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T03:52:18.202788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T03:52:19.244437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T03:52:33.232055image/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
2024-04-21T03:52:33.554451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
전화번호지정고시일공원보유시설(편익시설)공원보유시설(유희시설)공원보유시설(운동시설)
전화번호1.0000.9131.0000.1330.000
지정고시일0.9131.0001.0000.5450.000
공원보유시설(편익시설)1.0001.0001.0001.0001.000
공원보유시설(유희시설)0.1330.5451.0001.0000.000
공원보유시설(운동시설)0.0000.0001.0000.0001.000
2024-04-21T03:52:33.833729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도공원면적공원보유시설(운동시설)공원보유시설(유희시설)공원보유시설(편익시설)지정고시일전화번호
연번1.0000.147-0.6010.0080.0000.0931.0000.6140.751
위도0.1471.0000.022-0.2140.0000.1801.0000.7120.699
경도-0.6010.0221.000-0.1360.1530.2731.0000.3940.411
공원면적0.008-0.214-0.1361.0000.4520.0001.0000.6290.276
공원보유시설(운동시설)0.0000.0000.1530.4521.0000.0001.0000.0000.000
공원보유시설(유희시설)0.0930.1800.2730.0000.0001.0001.0000.5450.133
공원보유시설(편익시설)1.0001.0001.0001.0001.0001.0001.0001.0001.000
지정고시일0.6140.7120.3940.6290.0000.5451.0001.0000.913
전화번호0.7510.6990.4110.2760.0000.1331.0000.9131.000

Missing values

2024-04-21T03:52:20.656732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T03:52:21.261076image/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 서구청032-560-48042023-12-28
12신촌공원어린이공원인천광역시 서구 건지로153번길 25-1337.507964126.6697136612.0농구장조합놀이대화장실수경시설1969-02-12인천광역시 서구청032-560-44942023-12-28
23석남체육공원어린이공원인천광역시 서구 가정로294번길 2037.510356126.67502410880.0배드민턴장, 농구장, 족구장조합놀이대, 그네화장실<NA>1969-02-12인천광역시 서구청032-560-44942023-12-28
34건지공원어린이공원인천광역시 서구 198-1137.493734126.6793337988.0배드민턴장조합놀이대, 그네화장실<NA>1975-05-16인천광역시 서구청032-560-44942023-12-28
45여우재공원어린이공원인천광역시 서구 고래울로 737.488497126.6853341501.0다목적구장조합놀이대, 그네화장실<NA>1981-09-24인천광역시 서구청032-560-44942023-12-28
56가좌울공원어린이공원인천광역시 서구 고래울로 3537.486735126.6861611920.0족구장조합놀이대화장실<NA>1981-09-24인천광역시 서구청032-560-44942023-12-28
67한신공원어린이공원인천광역시 서구 가좌동 39737.484632126.6873943001.0농구장조합놀이대화장실<NA>1981-09-24인천광역시 서구청032-560-44942023-12-28
78가좌공원어린이공원인천광역시 서구 고래울로 1037.487705126.6841117280.0인라인스케이트장조합놀이대, 그네화장실민방위급수시설, 수경시설1981-09-24인천광역시 서구청032-560-44942023-12-28
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