Overview

Dataset statistics

Number of variables12
Number of observations96
Missing cells104
Missing cells (%)9.0%
Duplicate rows1
Duplicate rows (%)1.0%
Total size in memory9.4 KiB
Average record size in memory100.4 B

Variable types

Numeric2
Categorical7
Text2
Unsupported1

Dataset

Description경기도 고양시_어린이놀이터모래소독현황에 대한 데이터로 공원명, 소재지, 소독면적, 소독일자, 바닥재,데이터기준일, 관리기관명 등의 항목을 제공합니다.
Author경기도 고양시
URLhttps://www.data.go.kr/data/3078881/fileData.do

Alerts

Dataset has 1 (1.0%) duplicate rowsDuplicates
소독일자 is highly overall correlated with 연번 and 5 other fieldsHigh correlation
바닥재 is highly overall correlated with 시군 and 1 other fieldsHigh correlation
구 is highly overall correlated with 연번 and 5 other fieldsHigh correlation
관리기관명 is highly overall correlated with 연번 and 5 other fieldsHigh correlation
데이터기준일 is highly overall correlated with 연번 and 7 other fieldsHigh correlation
시군 is highly overall correlated with 연번 and 7 other fieldsHigh correlation
관리기관전화번호 is highly overall correlated with 연번 and 5 other fieldsHigh correlation
연번 is highly overall correlated with 시군 and 5 other fieldsHigh correlation
소독면적(제곱미터) is highly overall correlated with 시군 and 1 other fieldsHigh correlation
시군 is highly imbalanced (85.4%)Imbalance
바닥재 is highly imbalanced (53.3%)Imbalance
데이터기준일 is highly imbalanced (85.4%)Imbalance
연번 has 2 (2.1%) missing valuesMissing
공원명(놀이시설명) has 2 (2.1%) missing valuesMissing
소재지 도로명주소 has 96 (100.0%) missing valuesMissing
소재지 지번주소 has 2 (2.1%) missing valuesMissing
소독면적(제곱미터) has 2 (2.1%) missing valuesMissing
소재지 도로명주소 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-12 16:19:35.502691
Analysis finished2023-12-12 16:19:37.468273
Duration1.97 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct94
Distinct (%)100.0%
Missing2
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean47.5
Minimum1
Maximum94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size996.0 B
2023-12-13T01:19:37.579388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.65
Q124.25
median47.5
Q370.75
95-th percentile89.35
Maximum94
Range93
Interquartile range (IQR)46.5

Descriptive statistics

Standard deviation27.279418
Coefficient of variation (CV)0.57430354
Kurtosis-1.2
Mean47.5
Median Absolute Deviation (MAD)23.5
Skewness0
Sum4465
Variance744.16667
MonotonicityStrictly increasing
2023-12-13T01:19:37.831331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
61 1
 
1.0%
70 1
 
1.0%
69 1
 
1.0%
68 1
 
1.0%
67 1
 
1.0%
66 1
 
1.0%
65 1
 
1.0%
64 1
 
1.0%
63 1
 
1.0%
62 1
 
1.0%
Other values (84) 84
87.5%
(Missing) 2
 
2.1%
ValueCountFrequency (%)
1 1
1.0%
2 1
1.0%
3 1
1.0%
4 1
1.0%
5 1
1.0%
6 1
1.0%
7 1
1.0%
8 1
1.0%
9 1
1.0%
10 1
1.0%
ValueCountFrequency (%)
94 1
1.0%
93 1
1.0%
92 1
1.0%
91 1
1.0%
90 1
1.0%
89 1
1.0%
88 1
1.0%
87 1
1.0%
86 1
1.0%
85 1
1.0%

시군
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size900.0 B
고양시
94 
<NA>
 
2

Length

Max length4
Median length3
Mean length3.0208333
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
고양시 94
97.9%
<NA> 2
 
2.1%

Length

2023-12-13T01:19:38.062253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:19:38.220656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
고양시 94
97.9%
na 2
 
2.1%

구
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size900.0 B
덕양구
37 
일산동구
34 
일산서구
23 
<NA>
 
2

Length

Max length4
Median length4
Mean length3.6145833
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
덕양구 37
38.5%
일산동구 34
35.4%
일산서구 23
24.0%
<NA> 2
 
2.1%

Length

2023-12-13T01:19:38.394741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:19:38.558570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
덕양구 37
38.5%
일산동구 34
35.4%
일산서구 23
24.0%
na 2
 
2.1%

공원명(놀이시설명)
Text

MISSING 

Distinct94
Distinct (%)100.0%
Missing2
Missing (%)2.1%
Memory size900.0 B
2023-12-13T01:19:38.809533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length14
Mean length8.3510638
Min length2

Characters and Unicode

Total characters785
Distinct characters151
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

Unique94 ?
Unique (%)100.0%

Sample

1st row주교5호 어린이공원
2nd row원당1(주교10호) 어린이공원
3rd row어울림(성사1호) 어린이공원
4th row성라(성사3호) 어린이공원
5th row고양제1(고양1호) 어린이공원
ValueCountFrequency (%)
어린이공원 49
32.2%
공공놀이터 6
 
3.9%
중산어린이 1
 
0.7%
문화관광단지 1
 
0.7%
소나무 1
 
0.7%
참나무 1
 
0.7%
벚나무 1
 
0.7%
이팝 1
 
0.7%
느티나무 1
 
0.7%
산수유 1
 
0.7%
Other values (89) 89
58.6%
2023-12-13T01:19:39.277873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
공 63
 
8.0%
이 62
 
7.9%
58
 
7.4%
원 54
 
6.9%
어 53
 
6.8%
린 52
 
6.6%
( 27
 
3.4%
) 27
 
3.4%
호 26
 
3.3%
1 19
 
2.4%
Other values (141) 344
43.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 629
80.1%
Space Separator 58
 
7.4%
Decimal Number 44
 
5.6%
Open Punctuation 27
 
3.4%
Close Punctuation 27
 
3.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
공 63
 
10.0%
이 62
 
9.9%
원 54
 
8.6%
어 53
 
8.4%
린 52
 
8.3%
호 26
 
4.1%
무 12
 
1.9%
나 10
 
1.6%
산 9
 
1.4%
화 9
 
1.4%
Other values (129) 279
44.4%
Decimal Number
ValueCountFrequency (%)
1 19
43.2%
2 6
 
13.6%
0 5
 
11.4%
3 4
 
9.1%
5 3
 
6.8%
7 2
 
4.5%
6 2
 
4.5%
8 2
 
4.5%
9 1
 
2.3%
Space Separator
ValueCountFrequency (%)
58
100.0%
Open Punctuation
ValueCountFrequency (%)
( 27
100.0%
Close Punctuation
ValueCountFrequency (%)
) 27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 629
80.1%
Common 156
 
19.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
공 63
 
10.0%
이 62
 
9.9%
원 54
 
8.6%
어 53
 
8.4%
린 52
 
8.3%
호 26
 
4.1%
무 12
 
1.9%
나 10
 
1.6%
산 9
 
1.4%
화 9
 
1.4%
Other values (129) 279
44.4%
Common
ValueCountFrequency (%)
58
37.2%
( 27
17.3%
) 27
17.3%
1 19
 
12.2%
2 6
 
3.8%
0 5
 
3.2%
3 4
 
2.6%
5 3
 
1.9%
7 2
 
1.3%
6 2
 
1.3%
Other values (2) 3
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 629
80.1%
ASCII 156
 
19.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
공 63
 
10.0%
이 62
 
9.9%
원 54
 
8.6%
어 53
 
8.4%
린 52
 
8.3%
호 26
 
4.1%
무 12
 
1.9%
나 10
 
1.6%
산 9
 
1.4%
화 9
 
1.4%
Other values (129) 279
44.4%
ASCII
ValueCountFrequency (%)
58
37.2%
( 27
17.3%
) 27
17.3%
1 19
 
12.2%
2 6
 
3.8%
0 5
 
3.2%
3 4
 
2.6%
5 3
 
1.9%
7 2
 
1.3%
6 2
 
1.3%
Other values (2) 3
 
1.9%

소재지 도로명주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing96
Missing (%)100.0%
Memory size996.0 B

소재지 지번주소
Text

MISSING 

Distinct91
Distinct (%)96.8%
Missing2
Missing (%)2.1%
Memory size900.0 B
2023-12-13T01:19:39.628280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length22
Mean length20.56383
Min length17

Characters and Unicode

Total characters1933
Distinct characters57
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

Unique90 ?
Unique (%)95.7%

Sample

1st row경기도 고양시 덕양구 주교동 592-2
2nd row경기도 고양시 덕양구 성사동 865
3rd row경기도 고양시 덕양구 성사동 728
4th row경기도 고양시 덕양구 성사동 735
5th row경기도 고양시 덕양구 고양동 328
ValueCountFrequency (%)
경기도 94
20.0%
고양시 94
20.0%
덕양구 36
 
7.7%
일산동구 34
 
7.2%
일산서구 23
 
4.9%
행신동 15
 
3.2%
정발산동 8
 
1.7%
탄현동 7
 
1.5%
대화동 7
 
1.5%
풍동 7
 
1.5%
Other values (109) 144
30.7%
2023-12-13T01:19:40.028018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
376
19.5%
양 132
 
6.8%
동 129
 
6.7%
고 96
 
5.0%
경 94
 
4.9%
도 94
 
4.9%
시 94
 
4.9%
기 94
 
4.9%
구 93
 
4.8%
산 76
 
3.9%
Other values (47) 655
33.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1183
61.2%
Space Separator 376
 
19.5%
Decimal Number 349
 
18.1%
Dash Punctuation 25
 
1.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
양 132
11.2%
동 129
10.9%
고 96
8.1%
경 94
7.9%
도 94
7.9%
시 94
7.9%
기 94
7.9%
구 93
7.9%
산 76
 
6.4%
일 60
 
5.1%
Other values (35) 221
18.7%
Decimal Number
ValueCountFrequency (%)
1 63
18.1%
2 41
11.7%
9 41
11.7%
8 35
10.0%
7 32
9.2%
3 31
8.9%
5 30
8.6%
6 30
8.6%
4 28
8.0%
0 18
 
5.2%
Space Separator
ValueCountFrequency (%)
376
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1183
61.2%
Common 750
38.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
양 132
11.2%
동 129
10.9%
고 96
8.1%
경 94
7.9%
도 94
7.9%
시 94
7.9%
기 94
7.9%
구 93
7.9%
산 76
 
6.4%
일 60
 
5.1%
Other values (35) 221
18.7%
Common
ValueCountFrequency (%)
376
50.1%
1 63
 
8.4%
2 41
 
5.5%
9 41
 
5.5%
8 35
 
4.7%
7 32
 
4.3%
3 31
 
4.1%
5 30
 
4.0%
6 30
 
4.0%
4 28
 
3.7%
Other values (2) 43
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1183
61.2%
ASCII 750
38.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
376
50.1%
1 63
 
8.4%
2 41
 
5.5%
9 41
 
5.5%
8 35
 
4.7%
7 32
 
4.3%
3 31
 
4.1%
5 30
 
4.0%
6 30
 
4.0%
4 28
 
3.7%
Other values (2) 43
 
5.7%
Hangul
ValueCountFrequency (%)
양 132
11.2%
동 129
10.9%
고 96
8.1%
경 94
7.9%
도 94
7.9%
시 94
7.9%
기 94
7.9%
구 93
7.9%
산 76
 
6.4%
일 60
 
5.1%
Other values (35) 221
18.7%

소독면적(제곱미터)
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct86
Distinct (%)91.5%
Missing2
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean280.93149
Minimum10.4
Maximum915.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size996.0 B
2023-12-13T01:19:40.159248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10.4
5-th percentile23.285
Q1167.5
median276.7
Q3367.825
95-th percentile575.345
Maximum915.2
Range904.8
Interquartile range (IQR)200.325

Descriptive statistics

Standard deviation174.10815
Coefficient of variation (CV)0.61975306
Kurtosis1.073126
Mean280.93149
Median Absolute Deviation (MAD)101.7
Skewness0.72103337
Sum26407.56
Variance30313.648
MonotonicityNot monotonic
2023-12-13T01:19:40.294299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
367.0 4
 
4.2%
130.0 2
 
2.1%
201.0 2
 
2.1%
350.0 2
 
2.1%
105.0 2
 
2.1%
175.0 2
 
2.1%
294.0 1
 
1.0%
291.0 1
 
1.0%
200.0 1
 
1.0%
15.4 1
 
1.0%
Other values (76) 76
79.2%
(Missing) 2
 
2.1%
ValueCountFrequency (%)
10.4 1
1.0%
12.8 1
1.0%
15.4 1
1.0%
16.88 1
1.0%
20.1 1
1.0%
25.0 1
1.0%
28.0 1
1.0%
29.0 1
1.0%
32.0 1
1.0%
37.8 1
1.0%
ValueCountFrequency (%)
915.2 1
1.0%
728.0 1
1.0%
673.0 1
1.0%
605.0 1
1.0%
600.5 1
1.0%
561.8 1
1.0%
518.7 1
1.0%
518.6 1
1.0%
518.0 1
1.0%
512.6 1
1.0%

소독일자
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Memory size900.0 B
2022-11-06
37 
2022-11-01
34 
2022-09-17
13 
2022-09-18
7 
2022-09-13
 
2
Other values (2)
 
3

Length

Max length10
Median length10
Mean length9.875
Min length4

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row2022-11-06
2nd row2022-11-06
3rd row2022-11-06
4th row2022-11-06
5th row2022-11-06

Common Values

ValueCountFrequency (%)
2022-11-06 37
38.5%
2022-11-01 34
35.4%
2022-09-17 13
 
13.5%
2022-09-18 7
 
7.3%
2022-09-13 2
 
2.1%
<NA> 2
 
2.1%
2022-09-15 1
 
1.0%

Length

2023-12-13T01:19:40.408647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:19:40.513419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-11-06 37
38.5%
2022-11-01 34
35.4%
2022-09-17 13
 
13.5%
2022-09-18 7
 
7.3%
2022-09-13 2
 
2.1%
na 2
 
2.1%
2022-09-15 1
 
1.0%

바닥재
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size900.0 B
모래
80 
탄성,모래
14 
<NA>
 
2

Length

Max length5
Median length2
Mean length2.4791667
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
모래 80
83.3%
탄성,모래 14
 
14.6%
<NA> 2
 
2.1%

Length

2023-12-13T01:19:40.629186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:19:40.724507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
모래 80
83.3%
탄성,모래 14
 
14.6%
na 2
 
2.1%

관리기관명
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size900.0 B
덕양구 환경녹지과
37 
일산동구 환경녹지과
34 
일산서구 환경녹지과
23 
<NA>
 
2

Length

Max length10
Median length10
Mean length9.4895833
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row덕양구 환경녹지과
2nd row덕양구 환경녹지과
3rd row덕양구 환경녹지과
4th row덕양구 환경녹지과
5th row덕양구 환경녹지과

Common Values

ValueCountFrequency (%)
덕양구 환경녹지과 37
38.5%
일산동구 환경녹지과 34
35.4%
일산서구 환경녹지과 23
24.0%
<NA> 2
 
2.1%

Length

2023-12-13T01:19:40.821724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:19:40.959068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
환경녹지과 94
49.5%
덕양구 37
 
19.5%
일산동구 34
 
17.9%
일산서구 23
 
12.1%
na 2
 
1.1%

관리기관전화번호
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size900.0 B
031-8075-5268
37 
031-8075-6262
34 
031-8075-7265
23 
<NA>
 
2

Length

Max length13
Median length13
Mean length12.8125
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row031-8075-5268
2nd row031-8075-5268
3rd row031-8075-5268
4th row031-8075-5268
5th row031-8075-5268

Common Values

ValueCountFrequency (%)
031-8075-5268 37
38.5%
031-8075-6262 34
35.4%
031-8075-7265 23
24.0%
<NA> 2
 
2.1%

Length

2023-12-13T01:19:41.101381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:19:41.194853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
031-8075-5268 37
38.5%
031-8075-6262 34
35.4%
031-8075-7265 23
24.0%
na 2
 
2.1%

데이터기준일
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size900.0 B
2022-11-12
94 
<NA>
 
2

Length

Max length10
Median length10
Mean length9.875
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-11-12
2nd row2022-11-12
3rd row2022-11-12
4th row2022-11-12
5th row2022-11-12

Common Values

ValueCountFrequency (%)
2022-11-12 94
97.9%
<NA> 2
 
2.1%

Length

2023-12-13T01:19:41.315837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:19:41.437399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-11-12 94
97.9%
na 2
 
2.1%

Interactions

2023-12-13T01:19:36.399598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:19:36.211988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:19:36.490967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:19:36.308251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T01:19:41.499489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구공원명(놀이시설명)소재지 지번주소소독면적(제곱미터)소독일자바닥재관리기관명관리기관전화번호
연번1.0000.9481.0001.0000.3660.8120.4090.9480.948
구0.9481.0001.0001.0000.6111.0000.1901.0001.000
공원명(놀이시설명)1.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지 지번주소1.0001.0001.0001.0000.9631.0001.0001.0001.000
소독면적(제곱미터)0.3660.6111.0000.9631.0000.2680.2290.6110.611
소독일자0.8121.0001.0001.0000.2681.0000.5041.0001.000
바닥재0.4090.1901.0001.0000.2290.5041.0000.1900.190
관리기관명0.9481.0001.0001.0000.6111.0000.1901.0001.000
관리기관전화번호0.9481.0001.0001.0000.6111.0000.1901.0001.000
2023-12-13T01:19:41.608945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소독일자바닥재구관리기관명데이터기준일시군관리기관전화번호
소독일자1.0000.3560.9830.9831.0001.0000.983
바닥재0.3561.0000.3090.3091.0001.0000.309
구0.9830.3091.0001.0001.0001.0001.000
관리기관명0.9830.3091.0001.0001.0001.0001.000
데이터기준일1.0001.0001.0001.0001.0001.0001.000
시군1.0001.0001.0001.0001.0001.0001.000
관리기관전화번호0.9830.3091.0001.0001.0001.0001.000
2023-12-13T01:19:41.715865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번소독면적(제곱미터)시군구소독일자바닥재관리기관명관리기관전화번호데이터기준일
연번1.0000.1671.0000.9020.5900.2990.9020.9021.000
소독면적(제곱미터)0.1671.0001.0000.3210.1310.2180.3210.3211.000
시군1.0001.0001.0001.0001.0001.0001.0001.0001.000
구0.9020.3211.0001.0000.9830.3091.0001.0001.000
소독일자0.5900.1311.0000.9831.0000.3560.9830.9831.000
바닥재0.2990.2181.0000.3090.3561.0000.3090.3091.000
관리기관명0.9020.3211.0001.0000.9830.3091.0001.0001.000
관리기관전화번호0.9020.3211.0001.0000.9830.3091.0001.0001.000
데이터기준일1.0001.0001.0001.0001.0001.0001.0001.0001.000

Missing values

2023-12-13T01:19:36.615312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T01:19:36.821508image/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.
2023-12-13T01:19:37.321919image/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

연번시군구공원명(놀이시설명)소재지 도로명주소소재지 지번주소소독면적(제곱미터)소독일자바닥재관리기관명관리기관전화번호데이터기준일
01고양시덕양구주교5호 어린이공원<NA>경기도 고양시 덕양구 주교동 592-2130.02022-11-06모래덕양구 환경녹지과031-8075-52682022-11-12
12고양시덕양구원당1(주교10호) 어린이공원<NA>경기도 고양시 덕양구 성사동 865105.02022-11-06모래덕양구 환경녹지과031-8075-52682022-11-12
23고양시덕양구어울림(성사1호) 어린이공원<NA>경기도 고양시 덕양구 성사동 728179.02022-11-06모래덕양구 환경녹지과031-8075-52682022-11-12
34고양시덕양구성라(성사3호) 어린이공원<NA>경기도 고양시 덕양구 성사동 735265.02022-11-06모래덕양구 환경녹지과031-8075-52682022-11-12
45고양시덕양구고양제1(고양1호) 어린이공원<NA>경기도 고양시 덕양구 고양동 328178.02022-11-06모래덕양구 환경녹지과031-8075-52682022-11-12
56고양시덕양구달빛(화정10호) 어린이공원<NA>경기도 고양시 덕양구 화정동 857380.02022-11-06모래덕양구 환경녹지과031-8075-52682022-11-12
67고양시덕양구민들레(화정15호) 어린이공원<NA>경기도 고양시 덕양구 화정동 937305.02022-11-06모래덕양구 환경녹지과031-8075-52682022-11-12
78고양시덕양구배꽃(화정16호) 어린이공원<NA>경기도 고양시 덕양구 화정동 962294.02022-11-06모래덕양구 환경녹지과031-8075-52682022-11-12
89고양시덕양구꽃우물(화정18호) 어린이공원<NA>경기도 고양시 덕양구 화정동 949291.02022-11-06모래덕양구 환경녹지과031-8075-52682022-11-12
910고양시덕양구번데미(행신1호) 어린이공원<NA>경기도 고양시 덕양구 행신동 694215.02022-11-06모래덕양구 환경녹지과031-8075-52682022-11-12
연번시군구공원명(놀이시설명)소재지 도로명주소소재지 지번주소소독면적(제곱미터)소독일자바닥재관리기관명관리기관전화번호데이터기준일
8687고양시일산서구현중 어린이공원<NA>경기도 고양시 일산서구 탄현동 1478251.02022-09-18모래일산서구 환경녹지과031-8075-72652022-11-12
8788고양시일산서구탄현 어린이공원<NA>경기도 고양시 일산서구 탄현동 1495270.02022-09-17모래일산서구 환경녹지과031-8075-72652022-11-12
8889고양시일산서구탄중 어린이공원<NA>경기도 고양시 일산서구 탄현동 1501266.02022-09-17모래일산서구 환경녹지과031-8075-72652022-11-12
8990고양시일산서구한뫼 어린이공원<NA>경기도 고양시 일산서구 일산동 1557-1315.02022-09-17모래일산서구 환경녹지과031-8075-72652022-11-12
9091고양시일산서구탄현용현 어린이공원<NA>경기도 고양시 일산서구 탄현동 1634-1155.02022-09-17모래일산서구 환경녹지과031-8075-72652022-11-12
9192고양시일산서구탄현구석기 어린이공원<NA>경기도 고양시 일산서구 탄현동 1634-2110.02022-09-17모래일산서구 환경녹지과031-8075-72652022-11-12
9293고양시일산서구탄현통나무 어린이공원<NA>경기도 고양시 일산서구 탄현동 1637287.02022-09-17탄성,모래일산서구 환경녹지과031-8075-72652022-11-12
9394고양시일산서구잎새 어린이공원<NA>경기도 고양시 일산서구 덕이동 582-2426.02022-09-17모래일산서구 환경녹지과031-8075-72652022-11-12
94<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
95<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>

Duplicate rows

Most frequently occurring

연번시군구공원명(놀이시설명)소재지 지번주소소독면적(제곱미터)소독일자바닥재관리기관명관리기관전화번호데이터기준일# duplicates
0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2