Overview

Dataset statistics

Number of variables17
Number of observations1075
Missing cells724
Missing cells (%)4.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory144.0 KiB
Average record size in memory137.1 B

Variable types

Numeric1
Categorical6
Text5
DateTime2
Boolean3

Dataset

Description성남시 내 어린이놀이시설 현황 데이터이며, 시설번호, 시설유형, 실내/실외, 구, 동, 시설명, 주소, 면적, 설치일자, 민간/공공, 놀이기구종류, 안전검사일, 안전관리자지정여부, 보험가입여부, 물놀이형놀이시설여부, 관리자전화번호 등의 항목으로 구성되어 있습니다
URLhttps://www.data.go.kr/data/15084185/fileData.do

Alerts

동 is highly overall correlated with 구 and 1 other fieldsHigh correlation
시설유형 is highly overall correlated with 실내_실외 and 1 other fieldsHigh correlation
민간_공공구분 is highly overall correlated with 시설유형High correlation
구 is highly overall correlated with 동High correlation
실내_실외 is highly overall correlated with 시설유형High correlation
안전관리자지정여부 is highly overall correlated with 보험가입여부High correlation
보험가입여부 is highly overall correlated with 안전관리자지정여부High correlation
데이터기준일자 is highly overall correlated with 동High correlation
시설유형 is highly imbalanced (54.2%)Imbalance
실내_실외 is highly imbalanced (65.6%)Imbalance
안전관리자지정여부 is highly imbalanced (91.8%)Imbalance
보험가입여부 is highly imbalanced (92.4%)Imbalance
물놀이형놀이시설여부 is highly imbalanced (91.2%)Imbalance
데이터기준일자 is highly imbalanced (69.7%)Imbalance
면적_제곱미터 has 513 (47.7%) missing valuesMissing
관리자 연락처 has 211 (19.6%) missing valuesMissing
시설번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 15:00:01.990460
Analysis finished2023-12-12 15:00:03.974355
Duration1.98 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설번호
Real number (ℝ)

UNIQUE 

Distinct1075
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean282792.29
Minimum133
Maximum587470
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.6 KiB
2023-12-13T00:00:04.042118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum133
5-th percentile1401.7
Q116296.5
median42321
Q3553249
95-th percentile582730.3
Maximum587470
Range587337
Interquartile range (IQR)536952.5

Descriptive statistics

Standard deviation263908.2
Coefficient of variation (CV)0.93322275
Kurtosis-1.9752206
Mean282792.29
Median Absolute Deviation (MAD)42188
Skewness0.016386887
Sum3.0400172 × 108
Variance6.964754 × 1010
MonotonicityNot monotonic
2023-12-13T00:00:04.185418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
133 1
 
0.1%
534532 1
 
0.1%
533197 1
 
0.1%
533328 1
 
0.1%
533329 1
 
0.1%
533330 1
 
0.1%
533331 1
 
0.1%
533469 1
 
0.1%
533470 1
 
0.1%
533473 1
 
0.1%
Other values (1065) 1065
99.1%
ValueCountFrequency (%)
133 1
0.1%
335 1
0.1%
404 1
0.1%
405 1
0.1%
408 1
0.1%
456 1
0.1%
457 1
0.1%
458 1
0.1%
461 1
0.1%
462 1
0.1%
ValueCountFrequency (%)
587470 1
0.1%
587469 1
0.1%
587435 1
0.1%
587073 1
0.1%
587066 1
0.1%
586831 1
0.1%
586002 1
0.1%
585901 1
0.1%
585900 1
0.1%
585816 1
0.1%

시설유형
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct11
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size8.5 KiB
주택단지
727 
도시공원
159 
어린이집
108 
주상복합
 
35
놀이제공영업소
 
17
Other values (6)
 
29

Length

Max length8
Median length4
Mean length4.0883721
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
주택단지 727
67.6%
도시공원 159
 
14.8%
어린이집 108
 
10.0%
주상복합 35
 
3.3%
놀이제공영업소 17
 
1.6%
식품접객업소 9
 
0.8%
종교시설 6
 
0.6%
아동복지시설 5
 
0.5%
공공도서관 4
 
0.4%
육아종합지원센터 3
 
0.3%

Length

2023-12-13T00:00:04.362726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
주택단지 727
67.6%
도시공원 159
 
14.8%
어린이집 108
 
10.0%
주상복합 35
 
3.3%
놀이제공영업소 17
 
1.6%
식품접객업소 9
 
0.8%
종교시설 6
 
0.6%
아동복지시설 5
 
0.5%
공공도서관 4
 
0.4%
육아종합지원센터 3
 
0.3%

실내_실외
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.5 KiB
실외
1006 
실내
 
69

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 1006
93.6%
실내 69
 
6.4%

Length

2023-12-13T00:00:04.510706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:00:04.631251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
실외 1006
93.6%
실내 69
 
6.4%

구
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.5 KiB
분당구
709 
중원구
192 
수정구
174 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row분당구
2nd row분당구
3rd row수정구
4th row수정구
5th row분당구

Common Values

ValueCountFrequency (%)
분당구 709
66.0%
중원구 192
 
17.9%
수정구 174
 
16.2%

Length

2023-12-13T00:00:04.731478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:00:04.831522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
분당구 709
66.0%
중원구 192
 
17.9%
수정구 174
 
16.2%

동
Categorical

HIGH CORRELATION 

Distinct39
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size8.5 KiB
야탑동
93 
정자동
90 
구미동
74 
서현동
 
66
창곡동
 
63
Other values (34)
689 

Length

Max length10
Median length3
Mean length3.0362791
Min length2

Unique

Unique5 ?
Unique (%)0.5%

Sample

1st row수내동
2nd row야탑동
3rd row단대동
4th row단대동
5th row운중동

Common Values

ValueCountFrequency (%)
야탑동 93
 
8.7%
정자동 90
 
8.4%
구미동 74
 
6.9%
서현동 66
 
6.1%
창곡동 63
 
5.9%
백현동 57
 
5.3%
삼평동 57
 
5.3%
이매동 54
 
5.0%
금광동 44
 
4.1%
판교동 42
 
3.9%
Other values (29) 435
40.5%

Length

2023-12-13T00:00:04.953768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
야탑동 93
 
8.6%
정자동 90
 
8.4%
구미동 74
 
6.9%
서현동 66
 
6.1%
창곡동 63
 
5.8%
백현동 57
 
5.3%
삼평동 57
 
5.3%
이매동 54
 
5.0%
금광동 44
 
4.1%
수내동 42
 
3.9%
Other values (31) 437
40.6%

시설명
Text

Distinct1074
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Memory size8.5 KiB
2023-12-13T00:00:05.200261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length27
Mean length17.342326
Min length7

Characters and Unicode

Total characters18643
Distinct characters429
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1073 ?
Unique (%)99.8%

Sample

1st row분당구청어린이집 놀이시설
2nd row숲속(7호) 어린이공원
3rd row논골 선경아파트 103동옆 놀이터
4th row논골 선경아파트 관리소옆 놀이터
5th row산운마을9단지 대방노블랜드 놀이터
ValueCountFrequency (%)
놀이터 392
 
12.0%
어린이공원 106
 
3.2%
앞 81
 
2.5%
옆 47
 
1.4%
휴먼시아 43
 
1.3%
유아놀이터 43
 
1.3%
어린이놀이터 37
 
1.1%
e편한세상 26
 
0.8%
놀이시설 24
 
0.7%
도촌휴먼시아 21
 
0.6%
Other values (1108) 2442
74.9%
2023-12-13T00:00:05.900218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2187
 
11.7%
이 1164
 
6.2%
놀 722
 
3.9%
동 693
 
3.7%
터 671
 
3.6%
1 611
 
3.3%
아 508
 
2.7%
0 481
 
2.6%
트 391
 
2.1%
파 384
 
2.1%
Other values (419) 10831
58.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13033
69.9%
Decimal Number 2579
 
13.8%
Space Separator 2187
 
11.7%
Open Punctuation 329
 
1.8%
Close Punctuation 329
 
1.8%
Uppercase Letter 121
 
0.6%
Lowercase Letter 36
 
0.2%
Other Punctuation 23
 
0.1%
Dash Punctuation 4
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 1164
 
8.9%
놀 722
 
5.5%
동 693
 
5.3%
터 671
 
5.1%
아 508
 
3.9%
트 391
 
3.0%
파 384
 
2.9%
지 366
 
2.8%
마 363
 
2.8%
을 354
 
2.7%
Other values (377) 7417
56.9%
Uppercase Letter
ValueCountFrequency (%)
L 28
23.1%
C 12
9.9%
K 12
9.9%
H 12
9.9%
B 10
 
8.3%
S 10
 
8.3%
G 8
 
6.6%
I 6
 
5.0%
D 5
 
4.1%
T 4
 
3.3%
Other values (9) 14
11.6%
Decimal Number
ValueCountFrequency (%)
1 611
23.7%
0 481
18.7%
2 333
12.9%
3 293
11.4%
5 200
 
7.8%
4 185
 
7.2%
6 143
 
5.5%
7 125
 
4.8%
8 116
 
4.5%
9 92
 
3.6%
Lowercase Letter
ValueCountFrequency (%)
e 30
83.3%
i 3
 
8.3%
x 1
 
2.8%
m 1
 
2.8%
a 1
 
2.8%
Other Punctuation
ValueCountFrequency (%)
, 16
69.6%
& 6
 
26.1%
! 1
 
4.3%
Space Separator
ValueCountFrequency (%)
2187
100.0%
Open Punctuation
ValueCountFrequency (%)
( 329
100.0%
Close Punctuation
ValueCountFrequency (%)
) 329
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13033
69.9%
Common 5453
29.2%
Latin 157
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 1164
 
8.9%
놀 722
 
5.5%
동 693
 
5.3%
터 671
 
5.1%
아 508
 
3.9%
트 391
 
3.0%
파 384
 
2.9%
지 366
 
2.8%
마 363
 
2.8%
을 354
 
2.7%
Other values (377) 7417
56.9%
Latin
ValueCountFrequency (%)
e 30
19.1%
L 28
17.8%
C 12
 
7.6%
K 12
 
7.6%
H 12
 
7.6%
B 10
 
6.4%
S 10
 
6.4%
G 8
 
5.1%
I 6
 
3.8%
D 5
 
3.2%
Other values (14) 24
15.3%
Common
ValueCountFrequency (%)
2187
40.1%
1 611
 
11.2%
0 481
 
8.8%
2 333
 
6.1%
( 329
 
6.0%
) 329
 
6.0%
3 293
 
5.4%
5 200
 
3.7%
4 185
 
3.4%
6 143
 
2.6%
Other values (8) 362
 
6.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13033
69.9%
ASCII 5610
30.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2187
39.0%
1 611
 
10.9%
0 481
 
8.6%
2 333
 
5.9%
( 329
 
5.9%
) 329
 
5.9%
3 293
 
5.2%
5 200
 
3.6%
4 185
 
3.3%
6 143
 
2.5%
Other values (32) 519
 
9.3%
Hangul
ValueCountFrequency (%)
이 1164
 
8.9%
놀 722
 
5.5%
동 693
 
5.3%
터 671
 
5.1%
아 508
 
3.9%
트 391
 
3.0%
파 384
 
2.9%
지 366
 
2.8%
마 363
 
2.8%
을 354
 
2.7%
Other values (377) 7417
56.9%

소재지주소
Text

Distinct589
Distinct (%)54.8%
Missing0
Missing (%)0.0%
Memory size8.5 KiB
2023-12-13T00:00:06.159081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length43
Mean length31.637209
Min length17

Characters and Unicode

Total characters34010
Distinct characters277
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

Unique356 ?
Unique (%)33.1%

Sample

1st row경기도 성남시 분당구 분당로 50 (수내동)
2nd row경기도 성남시 분당구 야탑동 213-1
3rd row경기도 성남시 수정구 논골로 87 (단대동, 선경논골1차아파트)
4th row경기도 성남시 수정구 논골로 87 (단대동, 선경논골1차아파트)
5th row경기도 성남시 분당구 산운로 126 (운중동, 판교대방노블랜드아파트)
ValueCountFrequency (%)
성남시 1079
 
15.7%
경기도 1075
 
15.7%
분당구 710
 
10.3%
중원구 195
 
2.8%
수정구 174
 
2.5%
야탑동 84
 
1.2%
정자동 79
 
1.2%
구미동 71
 
1.0%
서현동 62
 
0.9%
창곡동 58
 
0.8%
Other values (911) 3274
47.7%
2023-12-13T00:00:06.566376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5789
 
17.0%
성 1198
 
3.5%
구 1176
 
3.5%
남 1160
 
3.4%
동 1149
 
3.4%
시 1143
 
3.4%
도 1138
 
3.3%
경 1110
 
3.3%
기 1082
 
3.2%
로 860
 
2.5%
Other values (267) 18205
53.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 22245
65.4%
Space Separator 5789
 
17.0%
Decimal Number 3546
 
10.4%
Open Punctuation 827
 
2.4%
Close Punctuation 827
 
2.4%
Other Punctuation 675
 
2.0%
Dash Punctuation 69
 
0.2%
Uppercase Letter 29
 
0.1%
Lowercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
성 1198
 
5.4%
구 1176
 
5.3%
남 1160
 
5.2%
동 1149
 
5.2%
시 1143
 
5.1%
도 1138
 
5.1%
경 1110
 
5.0%
기 1082
 
4.9%
로 860
 
3.9%
분 769
 
3.5%
Other values (239) 11460
51.5%
Uppercase Letter
ValueCountFrequency (%)
L 9
31.0%
G 5
17.2%
H 4
13.8%
I 4
13.8%
A 1
 
3.4%
B 1
 
3.4%
W 1
 
3.4%
S 1
 
3.4%
K 1
 
3.4%
V 1
 
3.4%
Decimal Number
ValueCountFrequency (%)
1 711
20.1%
2 559
15.8%
5 366
10.3%
3 360
10.2%
0 296
8.3%
6 291
8.2%
4 289
8.2%
7 264
 
7.4%
9 233
 
6.6%
8 177
 
5.0%
Other Punctuation
ValueCountFrequency (%)
, 663
98.2%
. 12
 
1.8%
Space Separator
ValueCountFrequency (%)
5789
100.0%
Open Punctuation
ValueCountFrequency (%)
( 827
100.0%
Close Punctuation
ValueCountFrequency (%)
) 827
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 69
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 22245
65.4%
Common 11733
34.5%
Latin 32
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
성 1198
 
5.4%
구 1176
 
5.3%
남 1160
 
5.2%
동 1149
 
5.2%
시 1143
 
5.1%
도 1138
 
5.1%
경 1110
 
5.0%
기 1082
 
4.9%
로 860
 
3.9%
분 769
 
3.5%
Other values (239) 11460
51.5%
Common
ValueCountFrequency (%)
5789
49.3%
( 827
 
7.0%
) 827
 
7.0%
1 711
 
6.1%
, 663
 
5.7%
2 559
 
4.8%
5 366
 
3.1%
3 360
 
3.1%
0 296
 
2.5%
6 291
 
2.5%
Other values (6) 1044
 
8.9%
Latin
ValueCountFrequency (%)
L 9
28.1%
G 5
15.6%
H 4
12.5%
I 4
12.5%
e 3
 
9.4%
A 1
 
3.1%
B 1
 
3.1%
W 1
 
3.1%
S 1
 
3.1%
K 1
 
3.1%
Other values (2) 2
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 22245
65.4%
ASCII 11765
34.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5789
49.2%
( 827
 
7.0%
) 827
 
7.0%
1 711
 
6.0%
, 663
 
5.6%
2 559
 
4.8%
5 366
 
3.1%
3 360
 
3.1%
0 296
 
2.5%
6 291
 
2.5%
Other values (18) 1076
 
9.1%
Hangul
ValueCountFrequency (%)
성 1198
 
5.4%
구 1176
 
5.3%
남 1160
 
5.2%
동 1149
 
5.2%
시 1143
 
5.1%
도 1138
 
5.1%
경 1110
 
5.0%
기 1082
 
4.9%
로 860
 
3.9%
분 769
 
3.5%
Other values (239) 11460
51.5%

면적_제곱미터
Text

MISSING 

Distinct432
Distinct (%)76.9%
Missing513
Missing (%)47.7%
Memory size8.5 KiB
2023-12-13T00:00:06.929427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length3.6103203
Min length1

Characters and Unicode

Total characters2029
Distinct characters13
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

Unique349 ?
Unique (%)62.1%

Sample

1st row223
2nd row117
3rd row134
4th row95
5th row430
ValueCountFrequency (%)
400 8
 
1.4%
300 6
 
1.1%
340 5
 
0.9%
238 5
 
0.9%
560 5
 
0.9%
328 5
 
0.9%
374 4
 
0.7%
268 4
 
0.7%
460 4
 
0.7%
면적 4
 
0.7%
Other values (422) 512
91.1%
2023-12-13T00:00:07.418854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 249
12.3%
1 240
11.8%
2 225
11.1%
0 221
10.9%
4 201
9.9%
5 194
9.6%
. 159
7.8%
6 155
7.6%
8 143
7.0%
7 132
6.5%
Other values (3) 110
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1862
91.8%
Other Punctuation 159
 
7.8%
Other Letter 8
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 249
13.4%
1 240
12.9%
2 225
12.1%
0 221
11.9%
4 201
10.8%
5 194
10.4%
6 155
8.3%
8 143
7.7%
7 132
7.1%
9 102
5.5%
Other Letter
ValueCountFrequency (%)
면 4
50.0%
적 4
50.0%
Other Punctuation
ValueCountFrequency (%)
. 159
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2021
99.6%
Hangul 8
 
0.4%

Most frequent character per script

Common
ValueCountFrequency (%)
3 249
12.3%
1 240
11.9%
2 225
11.1%
0 221
10.9%
4 201
9.9%
5 194
9.6%
. 159
7.9%
6 155
7.7%
8 143
7.1%
7 132
6.5%
Hangul
ValueCountFrequency (%)
면 4
50.0%
적 4
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2021
99.6%
Hangul 8
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 249
12.3%
1 240
11.9%
2 225
11.1%
0 221
10.9%
4 201
9.9%
5 194
9.6%
. 159
7.9%
6 155
7.7%
8 143
7.1%
7 132
6.5%
Hangul
ValueCountFrequency (%)
면 4
50.0%
적 4
50.0%

설치일자
Date

Distinct531
Distinct (%)49.4%
Missing0
Missing (%)0.0%
Memory size8.5 KiB
Minimum1987-06-05 00:00:00
Maximum2023-04-13 00:00:00
2023-12-13T00:00:07.560927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:00:07.697685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

민간_공공구분
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.5 KiB
민간
864 
공공
211 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
민간 864
80.4%
공공 211
 
19.6%

Length

2023-12-13T00:00:07.809334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:00:07.901462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
민간 864
80.4%
공공 211
 
19.6%

놀이기구종류
Text

Distinct324
Distinct (%)30.1%
Missing0
Missing (%)0.0%
Memory size8.5 KiB
2023-12-13T00:00:08.140034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length81
Median length73
Mean length39.854884
Min length9

Characters and Unicode

Total characters42844
Distinct characters70
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique216 ?
Unique (%)20.1%

Sample

1st row조합놀이대(1)+충격흡수용표면재(모래)(1)+기타(2)
2nd row그네(1)+흔들놀이기구(4)+조합놀이대(1)+충격흡수용표면재(모래)(1)
3rd row그네(1)+흔들놀이기구(2)+조합놀이대(1)+철봉(1)+충격흡수용표면재(모래)(1)
4th row그네(1)+흔들놀이기구(4)+조합놀이대(1)+철봉(1)+충격흡수용표면재(모래)(1)
5th row그네(1)+흔들놀이기구(3)+조합놀이대(2)+충격흡수용표면재(포설도포바닥재)(1)
ValueCountFrequency (%)
그네(1)+흔들놀이기구(3)+조합놀이대(1)+충격흡수용표면재(모래)(1 62
 
5.3%
흔들놀이기구(2)+조합놀이대(1)+충격흡수용표면재(포설도포바닥재)(1 51
 
4.4%
흔들놀이기구(3)+조합놀이대(1)+충격흡수용표면재(포설도포바닥재)(1 48
 
4.1%
조합놀이대(1 46
 
3.9%
그네(1)+흔들놀이기구(4)+조합놀이대(1)+충격흡수용표면재(모래)(1 39
 
3.3%
그네(1)+흔들놀이기구(1)+조합놀이대(1)+충격흡수용표면재(모래)(1 36
 
3.1%
그네(1)+흔들놀이기구(2)+조합놀이대(1)+충격흡수용표면재(모래)(1 33
 
2.8%
그네(1)+흔들놀이기구(2)+조합놀이대(1)+충격흡수용표면재(포설도포바닥재)(1 31
 
2.7%
그네(1)+흔들놀이기구(3)+조합놀이대(1)+충격흡수용표면재(포설도포바닥재)(1 30
 
2.6%
조합놀이대(1)+충격흡수용표면재(고무바닥재)(1 24
 
2.1%
Other values (312) 766
65.7%
2023-12-13T00:00:08.561323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 4951
 
11.6%
) 4951
 
11.6%
1 3000
 
7.0%
+ 2723
 
6.4%
이 1929
 
4.5%
놀 1910
 
4.5%
재 1663
 
3.9%
기 1254
 
2.9%
구 1106
 
2.6%
용 1074
 
2.5%
Other values (60) 18283
42.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 26220
61.2%
Open Punctuation 4951
 
11.6%
Close Punctuation 4951
 
11.6%
Decimal Number 3883
 
9.1%
Math Symbol 2723
 
6.4%
Space Separator 110
 
0.3%
Other Punctuation 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 1929
 
7.4%
놀 1910
 
7.3%
재 1663
 
6.3%
기 1254
 
4.8%
구 1106
 
4.2%
용 1074
 
4.1%
면 1057
 
4.0%
충 1057
 
4.0%
격 1057
 
4.0%
흡 1057
 
4.0%
Other values (46) 13056
49.8%
Decimal Number
ValueCountFrequency (%)
1 3000
77.3%
2 344
 
8.9%
3 293
 
7.5%
4 172
 
4.4%
5 49
 
1.3%
6 12
 
0.3%
7 9
 
0.2%
9 3
 
0.1%
8 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 4951
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4951
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2723
100.0%
Space Separator
ValueCountFrequency (%)
110
100.0%
Other Punctuation
ValueCountFrequency (%)
, 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 26220
61.2%
Common 16624
38.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 1929
 
7.4%
놀 1910
 
7.3%
재 1663
 
6.3%
기 1254
 
4.8%
구 1106
 
4.2%
용 1074
 
4.1%
면 1057
 
4.0%
충 1057
 
4.0%
격 1057
 
4.0%
흡 1057
 
4.0%
Other values (46) 13056
49.8%
Common
ValueCountFrequency (%)
( 4951
29.8%
) 4951
29.8%
1 3000
18.0%
+ 2723
16.4%
2 344
 
2.1%
3 293
 
1.8%
4 172
 
1.0%
110
 
0.7%
5 49
 
0.3%
6 12
 
0.1%
Other values (4) 19
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 26220
61.2%
ASCII 16624
38.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 4951
29.8%
) 4951
29.8%
1 3000
18.0%
+ 2723
16.4%
2 344
 
2.1%
3 293
 
1.8%
4 172
 
1.0%
110
 
0.7%
5 49
 
0.3%
6 12
 
0.1%
Other values (4) 19
 
0.1%
Hangul
ValueCountFrequency (%)
이 1929
 
7.4%
놀 1910
 
7.3%
재 1663
 
6.3%
기 1254
 
4.8%
구 1106
 
4.2%
용 1074
 
4.1%
면 1057
 
4.0%
충 1057
 
4.0%
격 1057
 
4.0%
흡 1057
 
4.0%
Other values (46) 13056
49.8%

안전검사일_최종
Date

Distinct325
Distinct (%)30.2%
Missing0
Missing (%)0.0%
Memory size8.5 KiB
Minimum2018-07-20 00:00:00
Maximum2023-05-18 00:00:00
2023-12-13T00:00:08.723487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:00:08.847772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

안전관리자지정여부
Boolean

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
True
1064 
False
 
11
ValueCountFrequency (%)
True 1064
99.0%
False 11
 
1.0%
2023-12-13T00:00:08.980101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

보험가입여부
Boolean

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
True
1065 
False
 
10
ValueCountFrequency (%)
True 1065
99.1%
False 10
 
0.9%
2023-12-13T00:00:09.057664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

물놀이형놀이시설여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
False
1063 
True
 
12
ValueCountFrequency (%)
False 1063
98.9%
True 12
 
1.1%
2023-12-13T00:00:09.130648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

관리자 연락처
Text

MISSING 

Distinct403
Distinct (%)46.6%
Missing211
Missing (%)19.6%
Memory size8.5 KiB
2023-12-13T00:00:09.335984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length12
Mean length12.032407
Min length11

Characters and Unicode

Total characters10396
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique248 ?
Unique (%)28.7%

Sample

1st row031-713-2225
2nd row031-729-7386
3rd row031-733-4444
4th row031-733-4444
5th row031-8016-7801
ValueCountFrequency (%)
031-729-7462 49
 
5.7%
031-729-7386 39
 
4.5%
031-729-4272 17
 
2.0%
031-729-6455 17
 
2.0%
031-729-4384 11
 
1.3%
031-766-4111 10
 
1.2%
02-521-3875 8
 
0.9%
031-701-8050 8
 
0.9%
02-3474-7003 7
 
0.8%
031-709-8061 7
 
0.8%
Other values (393) 691
80.0%
2023-12-13T00:00:09.703654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1728
16.6%
0 1546
14.9%
1 1401
13.5%
3 1279
12.3%
7 1162
11.2%
2 766
7.4%
5 562
 
5.4%
4 537
 
5.2%
9 481
 
4.6%
6 467
 
4.5%
Other values (3) 467
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8666
83.4%
Dash Punctuation 1728
 
16.6%
Other Punctuation 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1546
17.8%
1 1401
16.2%
3 1279
14.8%
7 1162
13.4%
2 766
8.8%
5 562
 
6.5%
4 537
 
6.2%
9 481
 
5.6%
6 467
 
5.4%
8 465
 
5.4%
Dash Punctuation
ValueCountFrequency (%)
- 1728
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10396
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1728
16.6%
0 1546
14.9%
1 1401
13.5%
3 1279
12.3%
7 1162
11.2%
2 766
7.4%
5 562
 
5.4%
4 537
 
5.2%
9 481
 
4.6%
6 467
 
4.5%
Other values (3) 467
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10396
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1728
16.6%
0 1546
14.9%
1 1401
13.5%
3 1279
12.3%
7 1162
11.2%
2 766
7.4%
5 562
 
5.4%
4 537
 
5.2%
9 481
 
4.6%
6 467
 
4.5%
Other values (3) 467
 
4.5%

데이터기준일자
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.5 KiB
2022-06-08
1017 
2023-06-08
 
58

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-06-08
2nd row2022-06-08
3rd row2022-06-08
4th row2022-06-08
5th row2022-06-08

Common Values

ValueCountFrequency (%)
2022-06-08 1017
94.6%
2023-06-08 58
 
5.4%

Length

2023-12-13T00:00:09.840988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:00:09.936882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-06-08 1017
94.6%
2023-06-08 58
 
5.4%

Interactions

2023-12-13T00:00:03.335035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T00:00:10.013733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설번호시설유형실내_실외구동민간_공공구분안전관리자지정여부보험가입여부물놀이형놀이시설여부데이터기준일자
시설번호1.0000.4270.1420.6600.7470.0840.0770.0730.0230.186
시설유형0.4271.0000.7250.2010.4810.9070.0000.1370.0540.091
실내_실외0.1420.7251.0000.0000.1110.0000.0000.1050.0000.144
구0.6600.2010.0001.0001.0000.0170.0430.0500.0320.170
동0.7470.4810.1111.0001.0000.2910.3670.3920.2280.619
민간_공공구분0.0840.9070.0000.0170.2911.0000.0100.0290.0990.083
안전관리자지정여부0.0770.0000.0000.0430.3670.0101.0000.8230.0000.593
보험가입여부0.0730.1370.1050.0500.3920.0290.8231.0000.0000.566
물놀이형놀이시설여부0.0230.0540.0000.0320.2280.0990.0000.0001.0000.103
데이터기준일자0.1860.0910.1440.1700.6190.0830.5930.5660.1031.000
2023-12-13T00:00:10.134049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
실내_실외물놀이형놀이시설여부동보험가입여부시설유형안전관리자지정여부데이터기준일자민간_공공구분구
실내_실외1.0000.0000.0910.0670.7070.0000.0920.0000.000
물놀이형놀이시설여부0.0001.0000.1880.0000.0520.0000.0660.0630.052
동0.0910.1881.0000.3240.1780.3030.5170.2410.983
보험가입여부0.0670.0000.3241.0000.1300.6160.3830.0190.083
시설유형0.7070.0520.1780.1301.0000.0000.0870.9180.118
안전관리자지정여부0.0000.0000.3030.6160.0001.0000.4040.0070.071
데이터기준일자0.0920.0660.5170.3830.0870.4041.0000.0530.280
민간_공공구분0.0000.0630.2410.0190.9180.0070.0531.0000.029
구0.0000.0520.9830.0830.1180.0710.2800.0291.000
2023-12-13T00:00:10.251570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설번호시설유형실내_실외구동민간_공공구분안전관리자지정여부보험가입여부물놀이형놀이시설여부데이터기준일자
시설번호1.0000.2740.2350.3210.4780.1400.1280.1220.0380.306
시설유형0.2741.0000.7070.1180.1780.9180.0000.1300.0520.087
실내_실외0.2350.7071.0000.0000.0910.0000.0000.0670.0000.092
구0.3210.1180.0001.0000.9830.0290.0710.0830.0520.280
동0.4780.1780.0910.9831.0000.2410.3030.3240.1880.517
민간_공공구분0.1400.9180.0000.0290.2411.0000.0070.0190.0630.053
안전관리자지정여부0.1280.0000.0000.0710.3030.0071.0000.6160.0000.404
보험가입여부0.1220.1300.0670.0830.3240.0190.6161.0000.0000.383
물놀이형놀이시설여부0.0380.0520.0000.0520.1880.0630.0000.0001.0000.066
데이터기준일자0.3060.0870.0920.2800.5170.0530.4040.3830.0661.000

Missing values

2023-12-13T00:00:03.510636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:00:03.769901image/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.
2023-12-13T00:00:03.913351image/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

시설번호시설유형실내_실외구동시설명소재지주소면적_제곱미터설치일자민간_공공구분놀이기구종류안전검사일_최종안전관리자지정여부보험가입여부물놀이형놀이시설여부관리자 연락처데이터기준일자
0133어린이집실외분당구수내동분당구청어린이집 놀이시설경기도 성남시 분당구 분당로 50 (수내동)<NA>2008-08-20공공조합놀이대(1)+충격흡수용표면재(모래)(1)+기타(2)2020-08-06YYN031-713-22252022-06-08
1335도시공원실외분당구야탑동숲속(7호) 어린이공원경기도 성남시 분당구 야탑동 213-12232008-11-18공공그네(1)+흔들놀이기구(4)+조합놀이대(1)+충격흡수용표면재(모래)(1)2020-08-28YYN031-729-73862022-06-08
2404주택단지실외수정구단대동논골 선경아파트 103동옆 놀이터경기도 성남시 수정구 논골로 87 (단대동, 선경논골1차아파트)<NA>2008-12-09민간그네(1)+흔들놀이기구(2)+조합놀이대(1)+철봉(1)+충격흡수용표면재(모래)(1)2020-12-14YYN031-733-44442022-06-08
3405주택단지실외수정구단대동논골 선경아파트 관리소옆 놀이터경기도 성남시 수정구 논골로 87 (단대동, 선경논골1차아파트)<NA>2008-12-09민간그네(1)+흔들놀이기구(4)+조합놀이대(1)+철봉(1)+충격흡수용표면재(모래)(1)2020-12-14YYN031-733-44442022-06-08
4408주택단지실외분당구운중동산운마을9단지 대방노블랜드 놀이터경기도 성남시 분당구 산운로 126 (운중동, 판교대방노블랜드아파트)<NA>2008-12-10민간그네(1)+흔들놀이기구(3)+조합놀이대(2)+충격흡수용표면재(포설도포바닥재)(1)2022-04-07YYN<NA>2022-06-08
5456주택단지실외분당구운중동판교 LIG건영아파트 놀이터경기도 성남시 분당구 판교원로 7 (운중동, LIG건영아파트)<NA>2009-01-08민간그네(1)+흔들놀이기구(2)+조합놀이대(1)+충격흡수용표면재(포설도포바닥재)(1)2021-10-06YYN<NA>2022-06-08
6457주택단지실외분당구삼평동풍성신미주아파트 110동앞 놀이터경기도 성남시 분당구 동판교로 275 (삼평동, 봇들마을1단지풍성신미주아파트)<NA>2009-01-12민간흔들놀이기구(3)+충격흡수용표면재(포설도포바닥재)(1)2021-11-11YYN<NA>2022-06-08
7458주택단지실외분당구삼평동풍성신미주아파트 113동앞 놀이터경기도 성남시 분당구 동판교로 275 (삼평동, 봇들마을1단지풍성신미주아파트)<NA>2009-01-12민간흔들놀이기구(5)+조합놀이대(1)+충격흡수용표면재(포설도포바닥재)(1)2021-11-11YYN<NA>2022-06-08
8461주택단지실외분당구삼평동풍성신미주아파트 125동옆 놀이터경기도 성남시 분당구 동판교로 275 (삼평동, 봇들마을1단지풍성신미주아파트)<NA>2009-01-13민간그네(1)+흔들놀이기구(4)+조합놀이대(1)+충격흡수용표면재(포설도포바닥재)(1)2021-11-11YYN<NA>2022-06-08
9462주택단지실외분당구삼평동풍성신미주아파트 117동앞 놀이터경기도 성남시 분당구 동판교로 275 (삼평동, 봇들마을1단지풍성신미주아파트)<NA>2009-01-13민간그네(1)+회전놀이기구(1)+흔들놀이기구(3)+조합놀이대(1)+충격흡수용표면재(포설도포바닥재)(1)2021-11-11YYN<NA>2022-06-08
시설번호시설유형실내_실외구동시설명소재지주소면적_제곱미터설치일자민간_공공구분놀이기구종류안전검사일_최종안전관리자지정여부보험가입여부물놀이형놀이시설여부관리자 연락처데이터기준일자
1065585901주택단지실외수정구고등동판교밸리자이 102동 앞 어린이놀이터경기도 성남시 수정구 대왕판교로 995 (고등동)판교밸리자이 102동 앞<NA>2023-01-12민간건너는기구(1) 조합놀이대(1) 흔들놀이기구(3)2023-01-30YYN031-8023-91502023-06-08
1066586002어린이집실외분당구정자동드림보트어린이집경기도 성남시 분당구 분당수서로 477 (정자동)<NA>2022-12-30민간기타(1) 조합놀이대(1)2023-01-27YYN02-555-19312023-06-08
1067586831어린이집실외수정구금토동KT판교사옥 보육시설(어린이집)경기도 성남시 수정구 금토동353-1502023-03-10민간기타(1) 오르는기구(3)2023-04-11NNN02-3433-71142023-06-08
1068587066놀이제공영업소실내분당구정자동플렉스키즈클럽경기도 성남시 분당구 내정로17번길 2 (정자동)A동 B1001호3002022-08-16민간건너는기구(1) 기타(1) 오르는기구(1) 폐쇄형놀이기구(1)2023-04-17YNN<NA>2023-06-08
1069587073어린이집실외수정구태평동성남시의료원 직장어린이집 옥외놀이터경기도 성남시 수정구 수정로171번길 10 (태평동)1152023-02-28민간조합놀이대(1)2023-04-06YYN<NA>2023-06-08
1070587435주택단지실외분당구대장동성남판교대장 A-9BL 아파트(국민221호) 어린이놀이시설경기도 성남시 분당구 대장동230-2번지 일원150.12023-04-12민간조합놀이대(1) 흔들놀이기구(3)2023-05-18NNN031-698-43052023-06-08
1071587469어린이집실외분당구이매동럭키어린이집 실외놀이터(1)경기도 성남시 분당구 이매동3211002023-04-13민간조합놀이대(1)2023-05-11NNN031-703-09532023-06-08
1072587470어린이집실외분당구이매동럭키어린이집 실외놀이터(2)경기도 성남시 분당구 이매동3211202023-04-13민간조합놀이대(1)2023-05-11NNN031-703-09532023-06-08
1073571091주택단지실내중원구도촌동KCC스위첸파티오 주민공동시설 실내놀이터경기도 성남시 중원구 도촌동 641242019-10-14민간조합놀이대(1) 흔들놀이기구(4)2021-10-21YYN070-888-02152023-06-08
107416121도시공원실외분당구정자동백현(51호) 어린이공원경기도 성남시 분당구 정자동 722881993-06-01공공조합놀이대(1)2022-01-17YYN031-729-74622023-06-08