Overview

Dataset statistics

Number of variables15
Number of observations832
Missing cells1
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory98.4 KiB
Average record size in memory121.2 B

Variable types

Numeric1
Text2
DateTime2
Categorical10

Dataset

Description김해시 어린이 놀이시설에 대한 데이터로 (설치일자, 인수일자, 설치장소, 운영구분, 민공구분, 의무여부, 실내외 등)의 데이터를 제공합니다.
Author경상남도 김해시
URLhttps://www.data.go.kr/data/15092974/fileData.do

Alerts

설치장소 is highly overall correlated with 민공구분 and 2 other fieldsHigh correlation
민공구분 is highly overall correlated with 설치장소 and 1 other fieldsHigh correlation
운영구분 is highly overall correlated with 안전검사여부High correlation
의무여부 is highly overall correlated with 설치장소 and 1 other fieldsHigh correlation
실내외구분 is highly overall correlated with 설치장소High correlation
안전검사여부 is highly overall correlated with 운영구분High correlation
물놀이형놀이시설 is highly imbalanced (81.8%)Imbalance
운영구분 is highly imbalanced (93.8%)Imbalance
실내외구분 is highly imbalanced (67.7%)Imbalance
안전검사여부 is highly imbalanced (93.9%)Imbalance
안전교육이수 is highly imbalanced (74.8%)Imbalance
보험가입여부 is highly imbalanced (71.2%)Imbalance
시설번호 has unique valuesUnique
놀이시설명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 22:03:59.363963
Analysis finished2023-12-12 22:04:00.852370
Duration1.49 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설번호
Real number (ℝ)

UNIQUE 

Distinct832
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean247952.38
Minimum3317
Maximum589424
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.4 KiB
2023-12-13T07:04:00.913503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3317
5-th percentile3372.55
Q18233.75
median12672
Q3557803.25
95-th percentile578275.85
Maximum589424
Range586107
Interquartile range (IQR)549569.5

Descriptive statistics

Standard deviation273019.25
Coefficient of variation (CV)1.1010955
Kurtosis-1.9239196
Mean247952.38
Median Absolute Deviation (MAD)9324.5
Skewness0.27069347
Sum2.0629638 × 108
Variance7.453951 × 1010
MonotonicityStrictly increasing
2023-12-13T07:04:01.031295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3317 1
 
0.1%
12675 1
 
0.1%
546333 1
 
0.1%
546334 1
 
0.1%
546335 1
 
0.1%
546381 1
 
0.1%
546454 1
 
0.1%
546565 1
 
0.1%
546640 1
 
0.1%
547441 1
 
0.1%
Other values (822) 822
98.8%
ValueCountFrequency (%)
3317 1
0.1%
3322 1
0.1%
3324 1
0.1%
3325 1
0.1%
3326 1
0.1%
3328 1
0.1%
3332 1
0.1%
3337 1
0.1%
3338 1
0.1%
3339 1
0.1%
ValueCountFrequency (%)
589424 1
0.1%
589423 1
0.1%
589422 1
0.1%
589192 1
0.1%
589070 1
0.1%
588422 1
0.1%
588168 1
0.1%
588167 1
0.1%
588166 1
0.1%
587952 1
0.1%

놀이시설명
Text

UNIQUE 

Distinct832
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
2023-12-13T07:04:01.315412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length28
Mean length16.634615
Min length3

Characters and Unicode

Total characters13840
Distinct characters396
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique832 ?
Unique (%)100.0%

Sample

1st row김해삼성어린이집
2nd row어방어린이집
3rd row예은어린이집
4th row원광어린이집
5th row인당어린이집
ValueCountFrequency (%)
놀이시설 129
 
5.6%
어린이놀이터 76
 
3.3%
놀이터 71
 
3.1%
66
 
2.8%
아파트 65
 
2.8%
김해 49
 
2.1%
부영아파트 25
 
1.1%
24
 
1.0%
유아놀이터 23
 
1.0%
푸르지오 23
 
1.0%
Other values (957) 1772
76.3%
2023-12-13T07:04:01.724201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1491
 
10.8%
983
 
7.1%
528
 
3.8%
1 447
 
3.2%
434
 
3.1%
408
 
2.9%
395
 
2.9%
366
 
2.6%
364
 
2.6%
364
 
2.6%
Other values (386) 8060
58.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10351
74.8%
Space Separator 1491
 
10.8%
Decimal Number 1468
 
10.6%
Open Punctuation 146
 
1.1%
Close Punctuation 146
 
1.1%
Dash Punctuation 110
 
0.8%
Uppercase Letter 77
 
0.6%
Lowercase Letter 31
 
0.2%
Math Symbol 11
 
0.1%
Other Punctuation 9
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
983
 
9.5%
528
 
5.1%
434
 
4.2%
408
 
3.9%
395
 
3.8%
366
 
3.5%
364
 
3.5%
364
 
3.5%
361
 
3.5%
278
 
2.7%
Other values (353) 5870
56.7%
Uppercase Letter
ValueCountFrequency (%)
H 14
18.2%
L 13
16.9%
T 12
15.6%
A 12
15.6%
P 10
13.0%
Q 4
 
5.2%
S 4
 
5.2%
E 2
 
2.6%
I 2
 
2.6%
C 2
 
2.6%
Decimal Number
ValueCountFrequency (%)
1 447
30.4%
0 273
18.6%
2 258
17.6%
3 144
 
9.8%
4 92
 
6.3%
5 81
 
5.5%
6 60
 
4.1%
7 45
 
3.1%
8 36
 
2.5%
9 32
 
2.2%
Lowercase Letter
ValueCountFrequency (%)
e 28
90.3%
h 1
 
3.2%
s 1
 
3.2%
k 1
 
3.2%
Other Punctuation
ValueCountFrequency (%)
, 7
77.8%
& 1
 
11.1%
# 1
 
11.1%
Space Separator
ValueCountFrequency (%)
1491
100.0%
Open Punctuation
ValueCountFrequency (%)
( 146
100.0%
Close Punctuation
ValueCountFrequency (%)
) 146
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 110
100.0%
Math Symbol
ValueCountFrequency (%)
~ 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10350
74.8%
Common 3381
 
24.4%
Latin 108
 
0.8%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
983
 
9.5%
528
 
5.1%
434
 
4.2%
408
 
3.9%
395
 
3.8%
366
 
3.5%
364
 
3.5%
364
 
3.5%
361
 
3.5%
278
 
2.7%
Other values (352) 5869
56.7%
Common
ValueCountFrequency (%)
1491
44.1%
1 447
 
13.2%
0 273
 
8.1%
2 258
 
7.6%
( 146
 
4.3%
) 146
 
4.3%
3 144
 
4.3%
- 110
 
3.3%
4 92
 
2.7%
5 81
 
2.4%
Other values (8) 193
 
5.7%
Latin
ValueCountFrequency (%)
e 28
25.9%
H 14
13.0%
L 13
12.0%
T 12
11.1%
A 12
11.1%
P 10
 
9.3%
Q 4
 
3.7%
S 4
 
3.7%
E 2
 
1.9%
I 2
 
1.9%
Other values (5) 7
 
6.5%
Han
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10350
74.8%
ASCII 3489
 
25.2%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1491
42.7%
1 447
 
12.8%
0 273
 
7.8%
2 258
 
7.4%
( 146
 
4.2%
) 146
 
4.2%
3 144
 
4.1%
- 110
 
3.2%
4 92
 
2.6%
5 81
 
2.3%
Other values (23) 301
 
8.6%
Hangul
ValueCountFrequency (%)
983
 
9.5%
528
 
5.1%
434
 
4.2%
408
 
3.9%
395
 
3.8%
366
 
3.5%
364
 
3.5%
364
 
3.5%
361
 
3.5%
278
 
2.7%
Other values (352) 5869
56.7%
CJK
ValueCountFrequency (%)
1
100.0%

주소
Text

Distinct564
Distinct (%)67.8%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
2023-12-13T07:04:01.992283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length39
Mean length29.058894
Min length12

Characters and Unicode

Total characters24177
Distinct characters276
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique418 ?
Unique (%)50.2%

Sample

1st row경상남도 김해시 인제로11번길 4 (어방동)
2nd row경상남도 김해시 활천로208번길 3 (어방동)
3rd row경상남도 김해시 전하로 287-12 (외동)
4th row경상남도 김해시 분성로3번길 65 (외동)
5th row경상남도 김해시 분성로 227 (외동)
ValueCountFrequency (%)
김해시 833
 
18.6%
경상남도 775
 
17.3%
진영읍 86
 
1.9%
경남 55
 
1.2%
삼계동 54
 
1.2%
외동 53
 
1.2%
부곡동 53
 
1.2%
구산동 47
 
1.0%
관동동 40
 
0.9%
율하동 39
 
0.9%
Other values (936) 2449
54.6%
2023-12-13T07:04:02.439226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3652
 
15.1%
955
 
4.0%
946
 
3.9%
884
 
3.7%
849
 
3.5%
841
 
3.5%
839
 
3.5%
805
 
3.3%
1 787
 
3.3%
782
 
3.2%
Other values (266) 12837
53.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15134
62.6%
Space Separator 3652
 
15.1%
Decimal Number 3534
 
14.6%
Close Punctuation 584
 
2.4%
Open Punctuation 584
 
2.4%
Other Punctuation 371
 
1.5%
Dash Punctuation 267
 
1.1%
Uppercase Letter 48
 
0.2%
Lowercase Letter 2
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
955
 
6.3%
946
 
6.3%
884
 
5.8%
849
 
5.6%
841
 
5.6%
839
 
5.5%
805
 
5.3%
782
 
5.2%
618
 
4.1%
401
 
2.6%
Other values (239) 7214
47.7%
Decimal Number
ValueCountFrequency (%)
1 787
22.3%
2 536
15.2%
3 369
10.4%
6 313
 
8.9%
5 278
 
7.9%
4 273
 
7.7%
7 256
 
7.2%
0 246
 
7.0%
9 242
 
6.8%
8 234
 
6.6%
Uppercase Letter
ValueCountFrequency (%)
L 13
27.1%
B 10
20.8%
S 8
16.7%
H 7
14.6%
A 6
12.5%
I 2
 
4.2%
C 2
 
4.2%
Other Punctuation
ValueCountFrequency (%)
, 363
97.8%
? 3
 
0.8%
3
 
0.8%
: 2
 
0.5%
Space Separator
ValueCountFrequency (%)
3652
100.0%
Close Punctuation
ValueCountFrequency (%)
) 584
100.0%
Open Punctuation
ValueCountFrequency (%)
( 584
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 267
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15134
62.6%
Common 8993
37.2%
Latin 50
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
955
 
6.3%
946
 
6.3%
884
 
5.8%
849
 
5.6%
841
 
5.6%
839
 
5.5%
805
 
5.3%
782
 
5.2%
618
 
4.1%
401
 
2.6%
Other values (239) 7214
47.7%
Common
ValueCountFrequency (%)
3652
40.6%
1 787
 
8.8%
) 584
 
6.5%
( 584
 
6.5%
2 536
 
6.0%
3 369
 
4.1%
, 363
 
4.0%
6 313
 
3.5%
5 278
 
3.1%
4 273
 
3.0%
Other values (9) 1254
 
13.9%
Latin
ValueCountFrequency (%)
L 13
26.0%
B 10
20.0%
S 8
16.0%
H 7
14.0%
A 6
12.0%
e 2
 
4.0%
I 2
 
4.0%
C 2
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15134
62.6%
ASCII 9040
37.4%
None 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3652
40.4%
1 787
 
8.7%
) 584
 
6.5%
( 584
 
6.5%
2 536
 
5.9%
3 369
 
4.1%
, 363
 
4.0%
6 313
 
3.5%
5 278
 
3.1%
4 273
 
3.0%
Other values (16) 1301
 
14.4%
Hangul
ValueCountFrequency (%)
955
 
6.3%
946
 
6.3%
884
 
5.8%
849
 
5.6%
841
 
5.6%
839
 
5.5%
805
 
5.3%
782
 
5.2%
618
 
4.1%
401
 
2.6%
Other values (239) 7214
47.7%
None
ValueCountFrequency (%)
3
100.0%
Distinct419
Distinct (%)50.4%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
Minimum1986-12-31 00:00:00
Maximum2023-07-10 00:00:00
2023-12-13T07:04:02.599084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:04:02.809734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

물놀이형놀이시설
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
미포함
809 
포함
 
23

Length

Max length3
Median length3
Mean length2.9723558
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
미포함 809
97.2%
포함 23
 
2.8%

Length

2023-12-13T07:04:02.952320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:04:03.076227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미포함 809
97.2%
포함 23
 
2.8%

설치장소
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
주택단지
516 
도시공원
197 
어린이집
68 
식품접객업소
 
29
놀이제공영업소
 
19
Other values (2)
 
3

Length

Max length7
Median length4
Mean length4.1394231
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
주택단지 516
62.0%
도시공원 197
 
23.7%
어린이집 68
 
8.2%
식품접객업소 29
 
3.5%
놀이제공영업소 19
 
2.3%
종교시설 2
 
0.2%
자연휴양림 1
 
0.1%

Length

2023-12-13T07:04:03.198576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:04:03.316237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주택단지 516
62.0%
도시공원 197
 
23.7%
어린이집 68
 
8.2%
식품접객업소 29
 
3.5%
놀이제공영업소 19
 
2.3%
종교시설 2
 
0.2%
자연휴양림 1
 
0.1%

운영구분
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
운영
826 
이용금지
 
6

Length

Max length4
Median length2
Mean length2.0144231
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
운영 826
99.3%
이용금지 6
 
0.7%

Length

2023-12-13T07:04:03.485271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:04:03.625195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영 826
99.3%
이용금지 6
 
0.7%

지역분류
Categorical

Distinct34
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
경남 김해시 진영읍
94 
경남 김해시 삼계동
72 
경남 김해시 율하동
67 
경남 김해시 외동
63 
경남 김해시 구산동
54 
Other values (29)
482 

Length

Max length10
Median length10
Mean length9.8533654
Min length9

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st row경남 김해시 어방동
2nd row경남 김해시 어방동
3rd row경남 김해시 외동
4th row경남 김해시 외동
5th row경남 김해시 외동

Common Values

ValueCountFrequency (%)
경남 김해시 진영읍 94
 
11.3%
경남 김해시 삼계동 72
 
8.7%
경남 김해시 율하동 67
 
8.1%
경남 김해시 외동 63
 
7.6%
경남 김해시 구산동 54
 
6.5%
경남 김해시 삼문동 54
 
6.5%
경남 김해시 부곡동 49
 
5.9%
경남 김해시 관동동 47
 
5.6%
경남 김해시 내동 42
 
5.0%
경남 김해시 어방동 32
 
3.8%
Other values (24) 258
31.0%

Length

2023-12-13T07:04:03.761252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경남 832
33.3%
김해시 832
33.3%
진영읍 94
 
3.8%
삼계동 72
 
2.9%
율하동 67
 
2.7%
외동 63
 
2.5%
구산동 54
 
2.2%
삼문동 54
 
2.2%
부곡동 49
 
2.0%
관동동 47
 
1.9%
Other values (26) 332
 
13.3%

민공구분
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
민간
615 
공공
217 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
민간 615
73.9%
공공 217
 
26.1%

Length

2023-12-13T07:04:03.920823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:04:04.034611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
민간 615
73.9%
공공 217
 
26.1%

의무여부
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
의무
516 
비의무
316 

Length

Max length3
Median length2
Mean length2.3798077
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row의무
2nd row의무
3rd row의무
4th row비의무
5th row의무

Common Values

ValueCountFrequency (%)
의무 516
62.0%
비의무 316
38.0%

Length

2023-12-13T07:04:04.171186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:04:04.276473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의무 516
62.0%
비의무 316
38.0%

실내외구분
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
실외
783 
실내
 
49

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 783
94.1%
실내 49
 
5.9%

Length

2023-12-13T07:04:04.429839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:04:04.530969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
실외 783
94.1%
실내 49
 
5.9%
Distinct286
Distinct (%)34.4%
Missing1
Missing (%)0.1%
Memory size6.6 KiB
Minimum2013-05-09 00:00:00
Maximum2023-08-24 00:00:00
2023-12-13T07:04:04.639731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:04:04.782365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

안전검사여부
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
검사완료
823 
미검사
 
5
불합격
 
4

Length

Max length4
Median length4
Mean length3.9891827
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row검사완료
2nd row검사완료
3rd row검사완료
4th row미검사
5th row검사완료

Common Values

ValueCountFrequency (%)
검사완료 823
98.9%
미검사 5
 
0.6%
불합격 4
 
0.5%

Length

2023-12-13T07:04:05.238537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:04:05.381325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
검사완료 823
98.9%
미검사 5
 
0.6%
불합격 4
 
0.5%

안전교육이수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
이수
797 
미이수
 
35

Length

Max length3
Median length2
Mean length2.0420673
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row이수
2nd row이수
3rd row이수
4th row미이수
5th row이수

Common Values

ValueCountFrequency (%)
이수 797
95.8%
미이수 35
 
4.2%

Length

2023-12-13T07:04:05.516822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:04:05.665444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
이수 797
95.8%
미이수 35
 
4.2%

보험가입여부
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
가입
790 
미가입
 
42

Length

Max length3
Median length2
Mean length2.0504808
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row가입
2nd row가입
3rd row가입
4th row미가입
5th row가입

Common Values

ValueCountFrequency (%)
가입 790
95.0%
미가입 42
 
5.0%

Length

2023-12-13T07:04:05.800168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:04:05.927066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가입 790
95.0%
미가입 42
 
5.0%

Interactions

2023-12-13T07:04:00.453567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T07:04:06.013731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설번호물놀이형놀이시설설치장소운영구분지역분류민공구분의무여부실내외구분안전검사여부안전교육이수보험가입여부
시설번호1.0000.0640.3440.0000.5340.1060.1050.1830.0000.0680.000
물놀이형놀이시설0.0641.0000.1410.0000.2780.1330.0710.0000.0490.0000.000
설치장소0.3440.1411.0000.0000.5130.8600.6750.7270.0420.0350.077
운영구분0.0000.0000.0001.0000.0000.0000.0000.0000.5660.1270.316
지역분류0.5340.2780.5130.0001.0000.4190.4750.1910.0000.4110.305
민공구분0.1060.1330.8600.0000.4191.0000.7690.1980.0320.0830.136
의무여부0.1050.0710.6750.0000.4750.7691.0000.4270.0610.1400.057
실내외구분0.1830.0000.7270.0000.1910.1980.4271.0000.0050.0000.000
안전검사여부0.0000.0490.0420.5660.0000.0320.0610.0051.0000.1280.087
안전교육이수0.0680.0000.0350.1270.4110.0830.1400.0000.1281.0000.363
보험가입여부0.0000.0000.0770.3160.3050.1360.0570.0000.0870.3631.000
2023-12-13T07:04:06.159868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설치장소물놀이형놀이시설안전교육이수안전검사여부지역분류민공구분의무여부실내외구분보험가입여부운영구분
설치장소1.0000.1500.0370.0270.2330.9280.7270.7840.0820.000
물놀이형놀이시설0.1501.0000.0000.0820.2160.0850.0450.0000.0000.000
안전교육이수0.0370.0001.0000.2110.3210.0530.0900.0000.2360.081
안전검사여부0.0270.0820.2111.0000.0000.0540.1020.0080.1450.835
지역분류0.2330.2160.3210.0001.0000.3270.3720.1480.2380.000
민공구분0.9280.0850.0530.0540.3271.0000.5580.1270.0870.000
의무여부0.7270.0450.0900.1020.3720.5581.0000.2810.0370.000
실내외구분0.7840.0000.0000.0080.1480.1270.2811.0000.0000.000
보험가입여부0.0820.0000.2360.1450.2380.0870.0370.0001.0000.205
운영구분0.0000.0000.0810.8350.0000.0000.0000.0000.2051.000
2023-12-13T07:04:06.290049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설번호물놀이형놀이시설설치장소운영구분지역분류민공구분의무여부실내외구분안전검사여부안전교육이수보험가입여부
시설번호1.0000.1060.2450.0000.3120.1750.1730.3010.0000.1120.000
물놀이형놀이시설0.1061.0000.1500.0000.2160.0850.0450.0000.0820.0000.000
설치장소0.2450.1501.0000.0000.2330.9280.7270.7840.0270.0370.082
운영구분0.0000.0000.0001.0000.0000.0000.0000.0000.8350.0810.205
지역분류0.3120.2160.2330.0001.0000.3270.3720.1480.0000.3210.238
민공구분0.1750.0850.9280.0000.3271.0000.5580.1270.0540.0530.087
의무여부0.1730.0450.7270.0000.3720.5581.0000.2810.1020.0900.037
실내외구분0.3010.0000.7840.0000.1480.1270.2811.0000.0080.0000.000
안전검사여부0.0000.0820.0270.8350.0000.0540.1020.0081.0000.2110.145
안전교육이수0.1120.0000.0370.0810.3210.0530.0900.0000.2111.0000.236
보험가입여부0.0000.0000.0820.2050.2380.0870.0370.0000.1450.2361.000

Missing values

2023-12-13T07:04:00.590139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:04:00.784954image/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

시설번호놀이시설명주소설치일자물놀이형놀이시설설치장소운영구분지역분류민공구분의무여부실내외구분최종안전검사일안전검사여부안전교육이수보험가입여부
03317김해삼성어린이집경상남도 김해시 인제로11번길 4 (어방동)2006-09-22미포함어린이집운영경남 김해시 어방동민간의무실외2022-01-24검사완료이수가입
13322어방어린이집경상남도 김해시 활천로208번길 3 (어방동)2007-08-24미포함어린이집운영경남 김해시 어방동공공의무실외2021-12-02검사완료이수가입
23324예은어린이집경상남도 김해시 전하로 287-12 (외동)2008-04-08미포함어린이집운영경남 김해시 외동민간의무실외2023-05-18검사완료이수가입
33325원광어린이집경상남도 김해시 분성로3번길 65 (외동)1996-05-28미포함어린이집이용금지경남 김해시 외동민간비의무실외2018-03-23미검사미이수미가입
43326인당어린이집경상남도 김해시 분성로 227 (외동)1999-06-18미포함어린이집운영경남 김해시 외동공공의무실외2021-10-25검사완료이수가입
53328즐거운영재어린이집경상남도 김해시 금관대로1341번길 6-20 (내동)2006-03-16미포함어린이집운영경남 김해시 내동민간의무실외2023-07-11검사완료이수가입
63332김해큰세상어린이집경상남도 김해시 활천로208번길 27-1 (어방동)2006-02-28미포함어린이집운영경남 김해시 어방동민간의무실외2022-08-24검사완료이수가입
73337대동어린이집경상남도 김해시 대동면 동남로41번길 13-112007-01-01미포함어린이집운영경남 김해시 대동면공공의무실외2023-05-30검사완료이수가입
83338동상2공원 어린이놀이터경상남도 김해시 동상동 639-51999-07-30미포함도시공원운영경남 김해시 동상동공공비의무실외2022-07-06검사완료이수가입
93339동상3공원 어린이놀이터경상남도 김해시 동상동 496-31999-07-30미포함도시공원운영경남 김해시 동상동공공비의무실외2022-08-18검사완료이수가입
시설번호놀이시설명주소설치일자물놀이형놀이시설설치장소운영구분지역분류민공구분의무여부실내외구분최종안전검사일안전검사여부안전교육이수보험가입여부
822587952채선당자연한가득 內 실내놀이시설경상남도 김해시 김해대로 2232 (외동)1층2023-05-01미포함식품접객업소운영경남 김해시 외동민간비의무실내2023-05-22검사완료이수가입
823588166삼계삼정그린코아 더베스트 어린이놀이터1(107동 앞)경상남도 김해시 삼계동10552023-04-10미포함주택단지운영경남 김해시 삼계동민간의무실외2023-06-30검사완료이수가입
824588167삼계삼정그린코아 더베스트 어린이놀이터2(102동 앞)경상남도 김해시 삼계동10552023-04-10미포함주택단지운영경남 김해시 삼계동민간의무실외2023-06-30검사완료이수가입
825588168삼계삼정그린코아 더베스트 어린이놀이터3(106동 앞)경상남도 김해시 삼계동2023-04-10미포함주택단지운영경남 김해시 삼계동민간의무실외2023-06-30검사완료이수가입
826588422덴바스타 키즈호텔 놀이시설경상남도 김해시 생림면 인제로 545-202023-05-01포함놀이제공영업소운영경남 김해시 생림면민간비의무실외2023-07-13검사완료이수가입
827589070김해 기후변화테마공원 놀이시설2경상남도 김해시 대청로176번길 7 (대청동)2023-06-23미포함도시공원운영경남 김해시 대청동공공비의무실외2023-07-21검사완료미이수미가입
828589192킹킹키즈룸 키즈카페경상남도 김해시 율하6로 67 (장유동)506호 솔로몬빌딩2023-05-10미포함놀이제공영업소운영경남 김해시 율하동민간비의무실외2023-07-24검사완료이수가입
829589422김해 푸르지오 하이엔드 어린이놀이터1(101동 앞)경상남도 김해시 안동360-402023-07-10포함주택단지운영경남 김해시 안동민간의무실외2023-08-11검사완료미이수미가입
830589423김해 푸르지오 하이엔드 어린이놀이터2(105동 옆)경상남도 김해시 안동360-402023-07-10미포함주택단지운영경남 김해시 안동민간의무실외2023-08-11검사완료미이수미가입
831589424김해 푸르지오 하이엔드 유아놀이터(102동 옆)경상남도 김해시 안동360-402023-07-10미포함주택단지운영경남 김해시 안동민간의무실외2023-08-11검사완료미이수미가입