Overview

Dataset statistics

Number of variables16
Number of observations153
Missing cells238
Missing cells (%)9.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory19.9 KiB
Average record size in memory132.9 B

Variable types

Numeric4
Text4
DateTime1
Categorical7

Dataset

Description충청남도 보령시에 위치한 어린이놀이시설 현황에 대한 데이터로, 어린이놀이시설이란 어린이 놀이 기구가 설치된 실내 또는 실외의 놀이터로서 대통령령으로 정한 것을 말합니다. 놀이시설명, 소재지 지번주소, 도로명주소, 위도, 경도, 설치일자, 물놀이형놀이시설 포함여부, 설치장소, 운영구분, 민공구분, 실내외구분, 시설면적, 시설물, 부대시설 등의 데이터를 제공합니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=98&beforeMenuCd=DOM_000000201001001000&publicdatapk=15103985

Alerts

운영구분 has constant value ""Constant
데이터기준일 has constant value ""Constant
시설물 is highly overall correlated with 물놀이형놀이시설 and 3 other fieldsHigh correlation
설치장소 is highly overall correlated with 민공구분 and 2 other fieldsHigh correlation
민공구분 is highly overall correlated with 시설면적 and 2 other fieldsHigh correlation
물놀이형놀이시설 is highly overall correlated with 시설물High correlation
실내외구분 is highly overall correlated with 설치장소 and 1 other fieldsHigh correlation
시설면적 is highly overall correlated with 민공구분High correlation
물놀이형놀이시설 is highly imbalanced (82.5%)Imbalance
실내외구분 is highly imbalanced (60.3%)Imbalance
소재지 도로명주소 has 11 (7.2%) missing valuesMissing
시설면적 has 79 (51.6%) missing valuesMissing
부대시설 has 148 (96.7%) missing valuesMissing
연번 has unique valuesUnique
놀이시설명 has unique valuesUnique

Reproduction

Analysis started2024-01-09 21:28:58.365390
Analysis finished2024-01-09 21:29:00.442133
Duration2.08 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct153
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean77
Minimum1
Maximum153
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-01-10T06:29:00.497661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8.6
Q139
median77
Q3115
95-th percentile145.4
Maximum153
Range152
Interquartile range (IQR)76

Descriptive statistics

Standard deviation44.311398
Coefficient of variation (CV)0.5754727
Kurtosis-1.2
Mean77
Median Absolute Deviation (MAD)38
Skewness0
Sum11781
Variance1963.5
MonotonicityStrictly increasing
2024-01-10T06:29:00.610629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.7%
106 1
 
0.7%
99 1
 
0.7%
100 1
 
0.7%
101 1
 
0.7%
102 1
 
0.7%
103 1
 
0.7%
104 1
 
0.7%
105 1
 
0.7%
107 1
 
0.7%
Other values (143) 143
93.5%
ValueCountFrequency (%)
1 1
0.7%
2 1
0.7%
3 1
0.7%
4 1
0.7%
5 1
0.7%
6 1
0.7%
7 1
0.7%
8 1
0.7%
9 1
0.7%
10 1
0.7%
ValueCountFrequency (%)
153 1
0.7%
152 1
0.7%
151 1
0.7%
150 1
0.7%
149 1
0.7%
148 1
0.7%
147 1
0.7%
146 1
0.7%
145 1
0.7%
144 1
0.7%

놀이시설명
Text

UNIQUE 

Distinct153
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-01-10T06:29:00.792670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length24
Mean length14.418301
Min length4

Characters and Unicode

Total characters2206
Distinct characters226
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique153 ?
Unique (%)100.0%

Sample

1st row오랏공원
2nd row햇살공원
3rd row샛별공원
4th row궁촌공원
5th row신설중앙공원
ValueCountFrequency (%)
놀이터 28
 
7.8%
놀이시설 18
 
5.0%
보령명천 10
 
2.8%
어린이놀이터 9
 
2.5%
보령 9
 
2.5%
앞 9
 
2.5%
옆 6
 
1.7%
동대주공 4
 
1.1%
실내놀이시설 4
 
1.1%
죽정주공아파트 4
 
1.1%
Other values (203) 258
71.9%
2024-01-10T06:29:01.319871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
206
 
9.3%
이 192
 
8.7%
놀 125
 
5.7%
터 98
 
4.4%
아 83
 
3.8%
트 64
 
2.9%
파 63
 
2.9%
린 61
 
2.8%
어 59
 
2.7%
공 55
 
2.5%
Other values (216) 1200
54.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1784
80.9%
Space Separator 206
 
9.3%
Decimal Number 150
 
6.8%
Close Punctuation 23
 
1.0%
Open Punctuation 23
 
1.0%
Uppercase Letter 9
 
0.4%
Lowercase Letter 6
 
0.3%
Dash Punctuation 3
 
0.1%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 192
 
10.8%
놀 125
 
7.0%
터 98
 
5.5%
아 83
 
4.7%
트 64
 
3.6%
파 63
 
3.5%
린 61
 
3.4%
어 59
 
3.3%
공 55
 
3.1%
천 41
 
2.3%
Other values (192) 943
52.9%
Decimal Number
ValueCountFrequency (%)
1 45
30.0%
0 26
17.3%
2 26
17.3%
3 17
 
11.3%
4 16
 
10.7%
5 7
 
4.7%
6 7
 
4.7%
9 3
 
2.0%
7 2
 
1.3%
8 1
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
A 3
33.3%
B 2
22.2%
L 1
 
11.1%
F 1
 
11.1%
D 1
 
11.1%
E 1
 
11.1%
Lowercase Letter
ValueCountFrequency (%)
e 2
33.3%
s 2
33.3%
k 2
33.3%
Space Separator
ValueCountFrequency (%)
206
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Other Punctuation
ValueCountFrequency (%)
" 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1784
80.9%
Common 407
 
18.4%
Latin 15
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 192
 
10.8%
놀 125
 
7.0%
터 98
 
5.5%
아 83
 
4.7%
트 64
 
3.6%
파 63
 
3.5%
린 61
 
3.4%
어 59
 
3.3%
공 55
 
3.1%
천 41
 
2.3%
Other values (192) 943
52.9%
Common
ValueCountFrequency (%)
206
50.6%
1 45
 
11.1%
0 26
 
6.4%
2 26
 
6.4%
) 23
 
5.7%
( 23
 
5.7%
3 17
 
4.2%
4 16
 
3.9%
5 7
 
1.7%
6 7
 
1.7%
Other values (5) 11
 
2.7%
Latin
ValueCountFrequency (%)
A 3
20.0%
e 2
13.3%
B 2
13.3%
s 2
13.3%
k 2
13.3%
L 1
 
6.7%
F 1
 
6.7%
D 1
 
6.7%
E 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1784
80.9%
ASCII 422
 
19.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
206
48.8%
1 45
 
10.7%
0 26
 
6.2%
2 26
 
6.2%
) 23
 
5.5%
( 23
 
5.5%
3 17
 
4.0%
4 16
 
3.8%
5 7
 
1.7%
6 7
 
1.7%
Other values (14) 26
 
6.2%
Hangul
ValueCountFrequency (%)
이 192
 
10.8%
놀 125
 
7.0%
터 98
 
5.5%
아 83
 
4.7%
트 64
 
3.6%
파 63
 
3.5%
린 61
 
3.4%
어 59
 
3.3%
공 55
 
3.1%
천 41
 
2.3%
Other values (192) 943
52.9%

소재지 지번주소
Text

Distinct108
Distinct (%)70.6%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-01-10T06:29:01.575493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length22
Mean length18.111111
Min length15

Characters and Unicode

Total characters2771
Distinct characters54
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

Unique87 ?
Unique (%)56.9%

Sample

1st row충청남도 보령시 동대동 1607
2nd row충청남도 보령시 궁촌동 369
3rd row충청남도 보령시 동대동 1756
4th row충청남도 보령시 궁촌동 352-3
5th row충청남도 보령시 동대동 1100
ValueCountFrequency (%)
보령시 153
24.0%
충청남도 152
23.9%
동대동 35
 
5.5%
명천동 34
 
5.3%
죽정동 21
 
3.3%
대천동 20
 
3.1%
389 10
 
1.6%
신흑동 10
 
1.6%
웅천읍 9
 
1.4%
대창리 7
 
1.1%
Other values (129) 186
29.2%
2024-01-10T06:29:01.922295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
493
17.8%
동 165
 
6.0%
남 154
 
5.6%
청 154
 
5.6%
충 153
 
5.5%
보 153
 
5.5%
령 153
 
5.5%
시 153
 
5.5%
도 152
 
5.5%
1 112
 
4.0%
Other values (44) 929
33.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1612
58.2%
Decimal Number 586
 
21.1%
Space Separator 493
 
17.8%
Dash Punctuation 80
 
2.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 165
10.2%
남 154
9.6%
청 154
9.6%
충 153
9.5%
보 153
9.5%
령 153
9.5%
시 153
9.5%
도 152
9.4%
천 70
 
4.3%
대 63
 
3.9%
Other values (32) 242
15.0%
Decimal Number
ValueCountFrequency (%)
1 112
19.1%
3 91
15.5%
9 65
11.1%
7 53
9.0%
8 53
9.0%
4 53
9.0%
6 45
7.7%
0 43
 
7.3%
5 37
 
6.3%
2 34
 
5.8%
Space Separator
ValueCountFrequency (%)
493
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 80
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1612
58.2%
Common 1159
41.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 165
10.2%
남 154
9.6%
청 154
9.6%
충 153
9.5%
보 153
9.5%
령 153
9.5%
시 153
9.5%
도 152
9.4%
천 70
 
4.3%
대 63
 
3.9%
Other values (32) 242
15.0%
Common
ValueCountFrequency (%)
493
42.5%
1 112
 
9.7%
3 91
 
7.9%
- 80
 
6.9%
9 65
 
5.6%
7 53
 
4.6%
8 53
 
4.6%
4 53
 
4.6%
6 45
 
3.9%
0 43
 
3.7%
Other values (2) 71
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1612
58.2%
ASCII 1159
41.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
493
42.5%
1 112
 
9.7%
3 91
 
7.9%
- 80
 
6.9%
9 65
 
5.6%
7 53
 
4.6%
8 53
 
4.6%
4 53
 
4.6%
6 45
 
3.9%
0 43
 
3.7%
Other values (2) 71
 
6.1%
Hangul
ValueCountFrequency (%)
동 165
10.2%
남 154
9.6%
청 154
9.6%
충 153
9.5%
보 153
9.5%
령 153
9.5%
시 153
9.5%
도 152
9.4%
천 70
 
4.3%
대 63
 
3.9%
Other values (32) 242
15.0%

소재지 도로명주소
Text

MISSING 

Distinct115
Distinct (%)81.0%
Missing11
Missing (%)7.2%
Memory size1.3 KiB
2024-01-10T06:29:02.114048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length37
Mean length27.190141
Min length15

Characters and Unicode

Total characters3861
Distinct characters175
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique96 ?
Unique (%)67.6%

Sample

1st row충청남도 보령시 큰오랏7길 5 (동대동)오랏어린이공원
2nd row충청남도 보령시 현충탑길 65 (궁촌동, SK뷰아파트)햇살어린이공원
3rd row충청남도 보령시 작은오랏1길 9 (동대동)오랏어린이공원
4th row충청남도 보령시 대해로 70-12 (궁촌동)궁촌어린이공원
5th row충청남도 보령시 신설3길 59 (동대동)신설중앙어린이공원
ValueCountFrequency (%)
충청남도 142
18.6%
보령시 142
18.6%
주공로 26
 
3.4%
동대동 23
 
3.0%
명천동 21
 
2.7%
죽정동 17
 
2.2%
한내로터리길 15
 
2.0%
대천동 14
 
1.8%
65 14
 
1.8%
신흑동 7
 
0.9%
Other values (221) 343
44.9%
2024-01-10T06:29:02.422235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
627
 
16.2%
동 162
 
4.2%
보 156
 
4.0%
령 156
 
4.0%
시 153
 
4.0%
남 146
 
3.8%
청 146
 
3.8%
충 145
 
3.8%
도 142
 
3.7%
( 119
 
3.1%
Other values (165) 1909
49.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2467
63.9%
Space Separator 627
 
16.2%
Decimal Number 429
 
11.1%
Open Punctuation 122
 
3.2%
Close Punctuation 122
 
3.2%
Other Punctuation 56
 
1.5%
Dash Punctuation 26
 
0.7%
Uppercase Letter 12
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 162
 
6.6%
보 156
 
6.3%
령 156
 
6.3%
시 153
 
6.2%
남 146
 
5.9%
청 146
 
5.9%
충 145
 
5.9%
도 142
 
5.8%
천 87
 
3.5%
로 85
 
3.4%
Other values (141) 1089
44.1%
Decimal Number
ValueCountFrequency (%)
1 74
17.2%
2 58
13.5%
3 52
12.1%
5 51
11.9%
6 38
8.9%
9 38
8.9%
0 33
7.7%
7 32
7.5%
4 29
 
6.8%
8 24
 
5.6%
Uppercase Letter
ValueCountFrequency (%)
K 4
33.3%
S 3
25.0%
O 2
16.7%
M 1
 
8.3%
P 1
 
8.3%
I 1
 
8.3%
Open Punctuation
ValueCountFrequency (%)
( 119
97.5%
[ 3
 
2.5%
Close Punctuation
ValueCountFrequency (%)
) 119
97.5%
] 3
 
2.5%
Other Punctuation
ValueCountFrequency (%)
, 53
94.6%
* 3
 
5.4%
Space Separator
ValueCountFrequency (%)
627
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2467
63.9%
Common 1382
35.8%
Latin 12
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 162
 
6.6%
보 156
 
6.3%
령 156
 
6.3%
시 153
 
6.2%
남 146
 
5.9%
청 146
 
5.9%
충 145
 
5.9%
도 142
 
5.8%
천 87
 
3.5%
로 85
 
3.4%
Other values (141) 1089
44.1%
Common
ValueCountFrequency (%)
627
45.4%
( 119
 
8.6%
) 119
 
8.6%
1 74
 
5.4%
2 58
 
4.2%
, 53
 
3.8%
3 52
 
3.8%
5 51
 
3.7%
6 38
 
2.7%
9 38
 
2.7%
Other values (8) 153
 
11.1%
Latin
ValueCountFrequency (%)
K 4
33.3%
S 3
25.0%
O 2
16.7%
M 1
 
8.3%
P 1
 
8.3%
I 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2467
63.9%
ASCII 1394
36.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
627
45.0%
( 119
 
8.5%
) 119
 
8.5%
1 74
 
5.3%
2 58
 
4.2%
, 53
 
3.8%
3 52
 
3.7%
5 51
 
3.7%
6 38
 
2.7%
9 38
 
2.7%
Other values (14) 165
 
11.8%
Hangul
ValueCountFrequency (%)
동 162
 
6.6%
보 156
 
6.3%
령 156
 
6.3%
시 153
 
6.2%
남 146
 
5.9%
청 146
 
5.9%
충 145
 
5.9%
도 142
 
5.8%
천 87
 
3.5%
로 85
 
3.4%
Other values (141) 1089
44.1%

위도
Real number (ℝ)

Distinct106
Distinct (%)69.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.341849
Minimum36.223748
Maximum36.480879
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-01-10T06:29:02.532203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.223748
5-th percentile36.240449
Q136.33887
median36.346811
Q336.354857
95-th percentile36.365957
Maximum36.480879
Range0.2571315
Interquartile range (IQR)0.015986628

Descriptive statistics

Standard deviation0.034536363
Coefficient of variation (CV)0.00095031936
Kurtosis6.0657201
Mean36.341849
Median Absolute Deviation (MAD)0.0079406017
Skewness-1.1872224
Sum5560.303
Variance0.0011927604
MonotonicityNot monotonic
2024-01-10T06:29:02.641578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36.3426774086 10
 
6.5%
36.3473650191 5
 
3.3%
36.3406577162 4
 
2.6%
36.3436195674 4
 
2.6%
36.3575536711 4
 
2.6%
36.3388701669 4
 
2.6%
36.3344073922 3
 
2.0%
36.342492 3
 
2.0%
36.3505290438 3
 
2.0%
36.3426132591 3
 
2.0%
Other values (96) 110
71.9%
ValueCountFrequency (%)
36.2237477378 1
0.7%
36.2306075874 1
0.7%
36.2317774992 1
0.7%
36.2326329289 1
0.7%
36.2339733918 2
1.3%
36.2355997877 1
0.7%
36.2377814379 1
0.7%
36.2422281585 1
0.7%
36.2480334891 1
0.7%
36.3096178596 1
0.7%
ValueCountFrequency (%)
36.4808792345 1
0.7%
36.439735659 1
0.7%
36.4323339098 1
0.7%
36.4019159598 1
0.7%
36.3924576791 1
0.7%
36.3910294043 1
0.7%
36.3858979531 1
0.7%
36.3678742673 1
0.7%
36.364678977 1
0.7%
36.362937364 1
0.7%

경도
Real number (ℝ)

Distinct106
Distinct (%)69.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.59834
Minimum126.49588
Maximum126.66407
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-01-10T06:29:02.749772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.49588
5-th percentile126.52371
Q1126.59707
median126.60471
Q3126.60886
95-th percentile126.62662
Maximum126.66407
Range0.16819826
Interquartile range (IQR)0.011784414

Descriptive statistics

Standard deviation0.028750174
Coefficient of variation (CV)0.00022709756
Kurtosis3.4509511
Mean126.59834
Median Absolute Deviation (MAD)0.0060579874
Skewness-1.4829058
Sum19369.546
Variance0.00082657253
MonotonicityNot monotonic
2024-01-10T06:29:02.858644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.6080673621 10
 
6.5%
126.6113682455 5
 
3.3%
126.6087619714 4
 
2.6%
126.6049138708 4
 
2.6%
126.6042494024 4
 
2.6%
126.6081915874 4
 
2.6%
126.606309215 3
 
2.0%
126.618362 3
 
2.0%
126.6149871785 3
 
2.0%
126.5986499008 3
 
2.0%
Other values (96) 110
71.9%
ValueCountFrequency (%)
126.4958750592 1
0.7%
126.5076272476 1
0.7%
126.5112585959 1
0.7%
126.5125064448 1
0.7%
126.5161297415 1
0.7%
126.5182689018 1
0.7%
126.5185837305 1
0.7%
126.5236822331 1
0.7%
126.5237215669 1
0.7%
126.5286247424 1
0.7%
ValueCountFrequency (%)
126.6640733194 1
 
0.7%
126.6640204723 1
 
0.7%
126.6639646092 1
 
0.7%
126.653956253 1
 
0.7%
126.6516395014 1
 
0.7%
126.6514083353 1
 
0.7%
126.6394901154 1
 
0.7%
126.6390016605 1
 
0.7%
126.618362 3
2.0%
126.6182597846 1
 
0.7%

설치일자
Date

Distinct110
Distinct (%)71.9%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum1991-10-10 00:00:00
Maximum2021-07-02 00:00:00
2024-01-10T06:29:02.968585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:29:03.075477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

물놀이형놀이시설
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
미포함
149 
포함
 
4

Length

Max length3
Median length3
Mean length2.9738562
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
미포함 149
97.4%
포함 4
 
2.6%

Length

2024-01-10T06:29:03.174916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:29:03.255670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미포함 149
97.4%
포함 4
 
2.6%

설치장소
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
주택단지
78 
도시공원
29 
어린이집
26 
아동복지시설
10 
식품접객업소
 
3
Other values (4)
 
7

Length

Max length7
Median length4
Mean length4.2418301
Min length3

Unique

Unique2 ?
Unique (%)1.3%

Sample

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

Common Values

ValueCountFrequency (%)
주택단지 78
51.0%
도시공원 29
 
19.0%
어린이집 26
 
17.0%
아동복지시설 10
 
6.5%
식품접객업소 3
 
2.0%
놀이제공영업소 3
 
2.0%
자연휴양림 2
 
1.3%
공공도서관 1
 
0.7%
박물관 1
 
0.7%

Length

2024-01-10T06:29:03.345157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:29:03.451948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주택단지 78
51.0%
도시공원 29
 
19.0%
어린이집 26
 
17.0%
아동복지시설 10
 
6.5%
식품접객업소 3
 
2.0%
놀이제공영업소 3
 
2.0%
자연휴양림 2
 
1.3%
공공도서관 1
 
0.7%
박물관 1
 
0.7%

운영구분
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
운영
153 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
운영 153
100.0%

Length

2024-01-10T06:29:03.556979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:29:03.631692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영 153
100.0%

민공구분
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
민간
110 
공공
43 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
민간 110
71.9%
공공 43
 
28.1%

Length

2024-01-10T06:29:03.706759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:29:03.784195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
민간 110
71.9%
공공 43
 
28.1%

실내외구분
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
실외
141 
실내
 
12

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
실외 141
92.2%
실내 12
 
7.8%

Length

2024-01-10T06:29:03.863514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:29:03.937751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
실외 141
92.2%
실내 12
 
7.8%

시설면적
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct67
Distinct (%)90.5%
Missing79
Missing (%)51.6%
Infinite0
Infinite (%)0.0%
Mean869.14689
Minimum10
Maximum12147
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-01-10T06:29:04.022314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile26.55
Q1130
median262
Q3935.6
95-th percentile2906.51
Maximum12147
Range12137
Interquartile range (IQR)805.6

Descriptive statistics

Standard deviation1629.6696
Coefficient of variation (CV)1.8750221
Kurtosis31.415132
Mean869.14689
Median Absolute Deviation (MAD)194.42
Skewness4.8871197
Sum64316.87
Variance2655823.1
MonotonicityNot monotonic
2024-01-10T06:29:04.130227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
200.0 4
 
2.6%
180.0 2
 
1.3%
50.0 2
 
1.3%
130.0 2
 
1.3%
404.1 2
 
1.3%
1500.0 1
 
0.7%
86.0 1
 
0.7%
10.0 1
 
0.7%
1966.0 1
 
0.7%
29.0 1
 
0.7%
Other values (57) 57
37.3%
(Missing) 79
51.6%
ValueCountFrequency (%)
10.0 1
0.7%
16.0 1
0.7%
18.0 1
0.7%
22.0 1
0.7%
29.0 1
0.7%
50.0 2
1.3%
55.0 1
0.7%
60.0 1
0.7%
62.8 1
0.7%
66.0 1
0.7%
ValueCountFrequency (%)
12147.0 1
0.7%
3630.0 1
0.7%
3507.0 1
0.7%
3400.9 1
0.7%
2640.3 1
0.7%
2590.7 1
0.7%
2416.0 1
0.7%
2366.8 1
0.7%
2338.4 1
0.7%
2200.2 1
0.7%

시설물
Categorical

HIGH CORRELATION 

Distinct19
Distinct (%)12.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
65 
CCTV
55 
조명등+정자+벤치
9 
정자
 
4
정자+벤치
 
4
Other values (14)
16 

Length

Max length19
Median length4
Mean length4.8823529
Min length2

Unique

Unique13 ?
Unique (%)8.5%

Sample

1st row조명등+정자+벤치
2nd rowCCTV+조명등+정자+벤치
3rd rowCCTV+조명등+정자+벤치
4th rowCCTV+조명등+정자+벤치
5th row조명등+정자+벤치

Common Values

ValueCountFrequency (%)
<NA> 65
42.5%
CCTV 55
35.9%
조명등+정자+벤치 9
 
5.9%
정자 4
 
2.6%
정자+벤치 4
 
2.6%
CCTV+조명등+정자+벤치 3
 
2.0%
비상벨+벤치+쓰레기통 1
 
0.7%
정자+쓰레기통 1
 
0.7%
조명등+정자+벤치+쓰레기통 1
 
0.7%
조명등+벤치 1
 
0.7%
Other values (9) 9
 
5.9%

Length

2024-01-10T06:29:04.234885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 65
42.5%
cctv 55
35.9%
조명등+정자+벤치 9
 
5.9%
정자 4
 
2.6%
정자+벤치 4
 
2.6%
cctv+조명등+정자+벤치 3
 
2.0%
cctv+정자+벤치 1
 
0.7%
벤치+음용수시설 1
 
0.7%
비상벨+cctv 1
 
0.7%
벤치+쓰레기통 1
 
0.7%
Other values (9) 9
 
5.9%

부대시설
Text

MISSING 

Distinct5
Distinct (%)100.0%
Missing148
Missing (%)96.7%
Memory size1.3 KiB
2024-01-10T06:29:04.357463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length3
Mean length6.2
Min length3

Characters and Unicode

Total characters31
Distinct characters17
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row농구장
2nd row농구대
3rd row세면대+화장실+자전거거치대
4th row화장실
5th row농구장+바닥분수
ValueCountFrequency (%)
농구장 1
20.0%
농구대 1
20.0%
세면대+화장실+자전거거치대 1
20.0%
화장실 1
20.0%
농구장+바닥분수 1
20.0%
2024-01-10T06:29:04.605722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 4
12.9%
농 3
9.7%
대 3
9.7%
구 3
9.7%
+ 3
9.7%
화 2
 
6.5%
거 2
 
6.5%
실 2
 
6.5%
면 1
 
3.2%
자 1
 
3.2%
Other values (7) 7
22.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 28
90.3%
Math Symbol 3
 
9.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 4
14.3%
농 3
10.7%
대 3
10.7%
구 3
10.7%
화 2
 
7.1%
거 2
 
7.1%
실 2
 
7.1%
면 1
 
3.6%
자 1
 
3.6%
전 1
 
3.6%
Other values (6) 6
21.4%
Math Symbol
ValueCountFrequency (%)
+ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 28
90.3%
Common 3
 
9.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 4
14.3%
농 3
10.7%
대 3
10.7%
구 3
10.7%
화 2
 
7.1%
거 2
 
7.1%
실 2
 
7.1%
면 1
 
3.6%
자 1
 
3.6%
전 1
 
3.6%
Other values (6) 6
21.4%
Common
ValueCountFrequency (%)
+ 3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 28
90.3%
ASCII 3
 
9.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 4
14.3%
농 3
10.7%
대 3
10.7%
구 3
10.7%
화 2
 
7.1%
거 2
 
7.1%
실 2
 
7.1%
면 1
 
3.6%
자 1
 
3.6%
전 1
 
3.6%
Other values (6) 6
21.4%
ASCII
ValueCountFrequency (%)
+ 3
100.0%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2022-08-13
153 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-08-13
2nd row2022-08-13
3rd row2022-08-13
4th row2022-08-13
5th row2022-08-13

Common Values

ValueCountFrequency (%)
2022-08-13 153
100.0%

Length

2024-01-10T06:29:04.708266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:29:04.781136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-08-13 153
100.0%

Interactions

2024-01-10T06:28:59.826801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:28:58.979744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:28:59.256075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:28:59.548270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:28:59.901881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:28:59.052618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:28:59.330154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:28:59.625624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:28:59.964785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:28:59.117560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:28:59.388865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:28:59.688601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:29:00.045366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:28:59.187692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:28:59.468068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:28:59.757382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T06:29:04.834862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도물놀이형놀이시설설치장소민공구분실내외구분시설면적시설물부대시설
연번1.0000.2490.2610.3900.4440.5060.3690.8000.5101.000
위도0.2491.0000.7430.0000.5030.2660.0790.0000.851NaN
경도0.2610.7431.0000.0000.5360.0280.0000.0000.7331.000
물놀이형놀이시설0.3900.0000.0001.0000.0000.0000.0000.000NaNNaN
설치장소0.4440.5030.5360.0001.0000.8950.7440.6390.935NaN
민공구분0.5060.2660.0280.0000.8951.0000.0000.9560.998NaN
실내외구분0.3690.0790.0000.0000.7440.0001.0000.226NaNNaN
시설면적0.8000.0000.0000.0000.6390.9560.2261.0000.6671.000
시설물0.5100.8510.733NaN0.9350.998NaN0.6671.0001.000
부대시설1.000NaN1.000NaNNaNNaNNaN1.0001.0001.000
2024-01-10T06:29:04.934466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설물설치장소민공구분물놀이형놀이시설실내외구분
시설물1.0000.7450.8641.0001.000
설치장소0.7451.0000.9110.0000.742
민공구분0.8640.9111.0000.0000.000
물놀이형놀이시설1.0000.0000.0001.0000.000
실내외구분1.0000.7420.0000.0001.000
2024-01-10T06:29:05.013453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도시설면적물놀이형놀이시설설치장소민공구분실내외구분시설물
연번1.000-0.1980.114-0.3910.2910.2210.3790.2750.228
위도-0.1981.000-0.0970.0640.0000.2920.2800.0810.482
경도0.114-0.0971.0000.0480.0000.2770.0080.0000.389
시설면적-0.3910.0640.0481.0000.0000.4880.7980.1460.307
물놀이형놀이시설0.2910.0000.0000.0001.0000.0000.0000.0001.000
설치장소0.2210.2920.2770.4880.0001.0000.9110.7420.745
민공구분0.3790.2800.0080.7980.0000.9111.0000.0000.864
실내외구분0.2750.0810.0000.1460.0000.7420.0001.0001.000
시설물0.2280.4820.3890.3071.0000.7450.8641.0001.000

Missing values

2024-01-10T06:29:00.144832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T06:29:00.295122image/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.
2024-01-10T06:29:00.393823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

연번놀이시설명소재지 지번주소소재지 도로명주소위도경도설치일자물놀이형놀이시설설치장소운영구분민공구분실내외구분시설면적시설물부대시설데이터기준일
01오랏공원충청남도 보령시 동대동 1607충청남도 보령시 큰오랏7길 5 (동대동)오랏어린이공원36.34855126.6084181993-06-01미포함도시공원운영공공실외3400.9조명등+정자+벤치농구장2022-08-13
12햇살공원충청남도 보령시 궁촌동 369충청남도 보령시 현충탑길 65 (궁촌동, SK뷰아파트)햇살어린이공원36.342613126.598652006-01-01미포함도시공원운영공공실외2640.3CCTV+조명등+정자+벤치농구대2022-08-13
23샛별공원충청남도 보령시 동대동 1756충청남도 보령시 작은오랏1길 9 (동대동)오랏어린이공원36.347657126.6042372007-10-10미포함도시공원운영공공실외2338.4CCTV+조명등+정자+벤치<NA>2022-08-13
34궁촌공원충청남도 보령시 궁촌동 352-3충청남도 보령시 대해로 70-12 (궁촌동)궁촌어린이공원36.343306126.5916872009-03-10미포함도시공원운영공공실외1501.3CCTV+조명등+정자+벤치세면대+화장실+자전거거치대2022-08-13
45신설중앙공원충청남도 보령시 동대동 1100충청남도 보령시 신설3길 59 (동대동)신설중앙어린이공원36.352061126.6053951993-06-01미포함도시공원운영공공실외2590.7조명등+정자+벤치<NA>2022-08-13
56샘터공원충청남도 보령시 동대동 1370충청남도 보령시 큰오랏3길 77 (동대동)샘터어린이공원36.35066126.6080271993-06-01미포함도시공원운영공공실외2200.2조명등+정자+벤치화장실2022-08-13
67죽정공원충청남도 보령시 죽정동 675-5충청남도 보령시 현대로 26 (죽정동, 현대아파트)죽정어린이공원36.360792126.6031542010-05-10미포함도시공원운영공공실외1570.0정자+쓰레기통<NA>2022-08-13
78알라딘공원충청남도 보령시 명천동 389충청남도 보령시 주공로 65 (명천동, 명천주공3,4,5차아파트)알라딘어린이공원36.342677126.6080672005-06-03미포함도시공원운영공공실외3630.0조명등+정자+벤치+쓰레기통<NA>2022-08-13
89보령어린이집 놀이시설충청남도 보령시 웅천읍 대창리 283-4충청남도 보령시 웅천읍 대창증산로 11-14웅천어린이집36.223748126.6047082007-12-15미포함어린이집운영민간실외200.0정자<NA>2022-08-13
910동산어린이집 놀이시설충청남도 보령시 주교면 주교리 24충청남도 보령시 주교면 울계2길 21-3136.391029126.5688761996-09-20미포함어린이집운영민간실외132.0정자<NA>2022-08-13
연번놀이시설명소재지 지번주소소재지 도로명주소위도경도설치일자물놀이형놀이시설설치장소운영구분민공구분실내외구분시설면적시설물부대시설데이터기준일
143144곰내 줌마아제 희망키움센터 2F 공립웅천 다함께 돌봄센터 내 놀이시설충청남도 보령시 웅천읍 대창리 713-1번지충청남도 보령시 웅천읍 장터6길 22-536.233973126.600342020-04-25미포함아동복지시설운영공공실내68.0<NA><NA>2022-08-13
144145보령웅천행복주택아파트 어린이놀이터충청남도 보령시 웅천읍 대창리 724-6충청남도 보령시 웅천읍 장터중앙길 19036.2356126.5982732020-06-30미포함주택단지운영공공실외60.0<NA><NA>2022-08-13
145146웅천복지회관 앞 놀이시설충청남도 보령시 웅천읍 대창리 436-7충청남도 보령시 웅천읍 장터2길 15(대창리 435-3번지)36.232633126.6014662020-09-30미포함아동복지시설운영공공실외<NA><NA><NA>2022-08-13
146147보령 갈매기공원 물놀이터충청남도 보령시 명천동 409-1충청남도 보령시 주공로 5236.341337126.604362020-10-21미포함도시공원운영공공실외<NA><NA><NA>2022-08-13
147148성주산자연휴양림 유아숲체험장충청남도 보령시 성주면 성주리 산 39충청남도 보령시 성주면 화장골길 57-22836.332569126.6639652020-12-10미포함자연휴양림운영공공실외<NA><NA><NA>2022-08-13
148149한국중부발전(주) 보령발전본부충청남도 보령시 오천면 오포리 773충청남도 보령시 오천면 오천해안로 89-3736.401916126.4958752021-01-23미포함박물관운영공공실내120.0<NA><NA>2022-08-13
149150보령명천A-1블록아파트 어린이놀이터(103동 앞)충청남도 보령시 명천동 1116충청남도 보령시 흥곡천변로 8536.342492126.6183622021-04-24미포함주택단지운영민간실외233.0<NA><NA>2022-08-13
150151보령명천지구 A-1BL 아파트 유아놀이터(어린이집옆)충청남도 보령시 명천동 1116충청남도 보령시 흥곡천변로 8536.342492126.6183622021-04-06미포함주택단지운영민간실외<NA><NA><NA>2022-08-13
151152보령명천 A-1블록아파트 어린이놀이터1(106동 앞)충청남도 보령시 명천동 1116충청남도 보령시 흥곡천변로 8536.342492126.6183622021-06-02미포함주택단지운영공공실외<NA><NA><NA>2022-08-13
152153플레이방153충청남도 보령시 죽정동 237충청남도 보령시 대천로 28836.367874126.6167462021-07-02미포함놀이제공영업소운영민간실내67.16<NA><NA>2022-08-13