Overview

Dataset statistics

Number of variables6
Number of observations10000
Missing cells17023
Missing cells (%)28.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory566.4 KiB
Average record size in memory58.0 B

Variable types

Numeric1
Text3
Categorical1
Unsupported1

Dataset

Description어린이 놀이시설 및 안전점검 현황 정보 제공
Author행정안전부
URLhttps://www.data.go.kr/data/15025387/fileData.do

Alerts

주소1 has 5662 (56.6%) missing valuesMissing
주소2 has 1361 (13.6%) missing valuesMissing
비고 has 10000 (100.0%) missing valuesMissing
시설번호 has unique valuesUnique
비고 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-12 12:38:46.406636
Analysis finished2023-12-12 12:38:48.244192
Duration1.84 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설번호
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean334108.53
Minimum26
Maximum567519
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T21:38:48.346066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum26
5-th percentile5089.85
Q127950
median513247.5
Q3542746.25
95-th percentile562164.15
Maximum567519
Range567493
Interquartile range (IQR)514796.25

Descriptive statistics

Standard deviation251330.7
Coefficient of variation (CV)0.75224269
Kurtosis-1.7926645
Mean334108.53
Median Absolute Deviation (MAD)43407.5
Skewness-0.43421279
Sum3.3410853 × 109
Variance6.3167121 × 1010
MonotonicityNot monotonic
2023-12-12T21:38:48.521940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
549453 1
 
< 0.1%
539082 1
 
< 0.1%
7331 1
 
< 0.1%
531311 1
 
< 0.1%
4390 1
 
< 0.1%
503071 1
 
< 0.1%
507389 1
 
< 0.1%
565103 1
 
< 0.1%
560230 1
 
< 0.1%
22594 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
26 1
< 0.1%
47 1
< 0.1%
54 1
< 0.1%
87 1
< 0.1%
90 1
< 0.1%
102 1
< 0.1%
112 1
< 0.1%
133 1
< 0.1%
137 1
< 0.1%
161 1
< 0.1%
ValueCountFrequency (%)
567519 1
< 0.1%
567490 1
< 0.1%
567471 1
< 0.1%
567459 1
< 0.1%
567437 1
< 0.1%
567421 1
< 0.1%
567414 1
< 0.1%
567354 1
< 0.1%
567239 1
< 0.1%
567211 1
< 0.1%

놀이시설명
Text

Distinct9898
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T21:38:48.851661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length36
Mean length15.208
Min length2

Characters and Unicode

Total characters152080
Distinct characters804
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9813 ?
Unique (%)98.1%

Sample

1st row율전 삼성2단지아파트 209동
2nd row만수주공3단지 관리동 놀이터
3rd row대구프뢰벨 어린이집
4th row단비유치원 놀이시설
5th row금장주공1단지 1놀이터
ValueCountFrequency (%)
놀이터 2932
 
11.9%
놀이시설 1135
 
4.6%
앞 694
 
2.8%
어린이놀이터 548
 
2.2%
어린이놀이시설 459
 
1.9%
어린이 376
 
1.5%
옆 284
 
1.1%
병설유치원 279
 
1.1%
아파트 262
 
1.1%
뒤 186
 
0.8%
Other values (11534) 17559
71.0%
2023-12-12T21:38:49.320740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
14714
 
9.7%
이 12955
 
8.5%
놀 7799
 
5.1%
터 5764
 
3.8%
린 4579
 
3.0%
어 4381
 
2.9%
아 4371
 
2.9%
1 4229
 
2.8%
동 4151
 
2.7%
파 3669
 
2.4%
Other values (794) 85468
56.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 119203
78.4%
Space Separator 14714
 
9.7%
Decimal Number 13554
 
8.9%
Close Punctuation 1540
 
1.0%
Open Punctuation 1539
 
1.0%
Uppercase Letter 779
 
0.5%
Dash Punctuation 363
 
0.2%
Other Punctuation 161
 
0.1%
Lowercase Letter 149
 
0.1%
Math Symbol 43
 
< 0.1%
Other values (2) 35
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 12955
 
10.9%
놀 7799
 
6.5%
터 5764
 
4.8%
린 4579
 
3.8%
어 4381
 
3.7%
아 4371
 
3.7%
동 4151
 
3.5%
파 3669
 
3.1%
트 3626
 
3.0%
원 2909
 
2.4%
Other values (721) 64999
54.5%
Uppercase Letter
ValueCountFrequency (%)
L 160
20.5%
H 96
12.3%
A 74
9.5%
S 71
9.1%
B 71
9.1%
K 51
 
6.5%
C 46
 
5.9%
I 36
 
4.6%
G 34
 
4.4%
P 25
 
3.2%
Other values (15) 115
14.8%
Lowercase Letter
ValueCountFrequency (%)
e 98
65.8%
i 7
 
4.7%
s 6
 
4.0%
k 5
 
3.4%
h 5
 
3.4%
c 5
 
3.4%
l 5
 
3.4%
t 3
 
2.0%
a 3
 
2.0%
w 3
 
2.0%
Other values (7) 9
 
6.0%
Decimal Number
ValueCountFrequency (%)
1 4229
31.2%
0 2482
18.3%
2 2433
18.0%
3 1335
 
9.8%
4 802
 
5.9%
5 684
 
5.0%
6 527
 
3.9%
7 426
 
3.1%
8 333
 
2.5%
9 303
 
2.2%
Other Punctuation
ValueCountFrequency (%)
, 92
57.1%
/ 22
 
13.7%
. 19
 
11.8%
& 10
 
6.2%
' 7
 
4.3%
# 7
 
4.3%
· 1
 
0.6%
? 1
 
0.6%
: 1
 
0.6%
! 1
 
0.6%
Other Number
ValueCountFrequency (%)
② 2
40.0%
③ 2
40.0%
① 1
20.0%
Close Punctuation
ValueCountFrequency (%)
) 1435
93.2%
] 105
 
6.8%
Open Punctuation
ValueCountFrequency (%)
( 1434
93.2%
[ 105
 
6.8%
Space Separator
ValueCountFrequency (%)
14714
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 363
100.0%
Math Symbol
ValueCountFrequency (%)
~ 43
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 30
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 119202
78.4%
Common 31949
 
21.0%
Latin 928
 
0.6%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 12955
 
10.9%
놀 7799
 
6.5%
터 5764
 
4.8%
린 4579
 
3.8%
어 4381
 
3.7%
아 4371
 
3.7%
동 4151
 
3.5%
파 3669
 
3.1%
트 3626
 
3.0%
원 2909
 
2.4%
Other values (720) 64998
54.5%
Latin
ValueCountFrequency (%)
L 160
17.2%
e 98
10.6%
H 96
10.3%
A 74
 
8.0%
S 71
 
7.7%
B 71
 
7.7%
K 51
 
5.5%
C 46
 
5.0%
I 36
 
3.9%
G 34
 
3.7%
Other values (32) 191
20.6%
Common
ValueCountFrequency (%)
14714
46.1%
1 4229
 
13.2%
0 2482
 
7.8%
2 2433
 
7.6%
) 1435
 
4.5%
( 1434
 
4.5%
3 1335
 
4.2%
4 802
 
2.5%
5 684
 
2.1%
6 527
 
1.6%
Other values (21) 1874
 
5.9%
Han
ValueCountFrequency (%)
內 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 119202
78.4%
ASCII 32871
 
21.6%
Enclosed Alphanum 5
 
< 0.1%
None 1
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
14714
44.8%
1 4229
 
12.9%
0 2482
 
7.6%
2 2433
 
7.4%
) 1435
 
4.4%
( 1434
 
4.4%
3 1335
 
4.1%
4 802
 
2.4%
5 684
 
2.1%
6 527
 
1.6%
Other values (59) 2796
 
8.5%
Hangul
ValueCountFrequency (%)
이 12955
 
10.9%
놀 7799
 
6.5%
터 5764
 
4.8%
린 4579
 
3.8%
어 4381
 
3.7%
아 4371
 
3.7%
동 4151
 
3.5%
파 3669
 
3.1%
트 3626
 
3.0%
원 2909
 
2.4%
Other values (720) 64998
54.5%
Enclosed Alphanum
ValueCountFrequency (%)
② 2
40.0%
③ 2
40.0%
① 1
20.0%
None
ValueCountFrequency (%)
· 1
100.0%
CJK
ValueCountFrequency (%)
內 1
100.0%

주소1
Text

MISSING 

Distinct4142
Distinct (%)95.5%
Missing5662
Missing (%)56.6%
Memory size156.2 KiB
2023-12-12T21:38:49.680716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length43
Mean length17.837483
Min length6

Characters and Unicode

Total characters77379
Distinct characters492
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

Unique3971 ?
Unique (%)91.5%

Sample

1st row인천시 남동 만수4동 46 백범로 124번길 16
2nd row대구광역시 수성구 신매동 62번지
3rd row충청남도 부여군 규암면 오수리113번지 주변
4th row경기 안성시 대덕면 진현리산44번지 유안아파트
5th row서울 서대문구 북가좌동150
ValueCountFrequency (%)
경기 702
 
4.2%
서울 697
 
4.2%
경기도 345
 
2.1%
부산 217
 
1.3%
북구 202
 
1.2%
인천 201
 
1.2%
대구 193
 
1.2%
충남 171
 
1.0%
전북 162
 
1.0%
경북 141
 
0.8%
Other values (6295) 13617
81.8%
2023-12-12T21:38:50.212711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12310
 
15.9%
동 4180
 
5.4%
1 3656
 
4.7%
구 2957
 
3.8%
시 2392
 
3.1%
- 2301
 
3.0%
2 2122
 
2.7%
3 1868
 
2.4%
4 1537
 
2.0%
5 1524
 
2.0%
Other values (482) 42532
55.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 45380
58.6%
Decimal Number 16971
 
21.9%
Space Separator 12310
 
15.9%
Dash Punctuation 2301
 
3.0%
Open Punctuation 120
 
0.2%
Close Punctuation 120
 
0.2%
Uppercase Letter 116
 
0.1%
Other Punctuation 44
 
0.1%
Lowercase Letter 14
 
< 0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 4180
 
9.2%
구 2957
 
6.5%
시 2392
 
5.3%
경 1445
 
3.2%
서 1372
 
3.0%
산 1344
 
3.0%
기 1169
 
2.6%
지 954
 
2.1%
울 942
 
2.1%
남 916
 
2.0%
Other values (436) 27709
61.1%
Uppercase Letter
ValueCountFrequency (%)
A 27
23.3%
B 19
16.4%
L 15
12.9%
K 9
 
7.8%
S 8
 
6.9%
I 5
 
4.3%
T 5
 
4.3%
R 5
 
4.3%
E 4
 
3.4%
C 3
 
2.6%
Other values (9) 16
13.8%
Decimal Number
ValueCountFrequency (%)
1 3656
21.5%
2 2122
12.5%
3 1868
11.0%
4 1537
9.1%
5 1524
9.0%
6 1367
 
8.1%
7 1310
 
7.7%
0 1220
 
7.2%
8 1216
 
7.2%
9 1151
 
6.8%
Other Punctuation
ValueCountFrequency (%)
, 28
63.6%
? 6
 
13.6%
. 5
 
11.4%
: 4
 
9.1%
@ 1
 
2.3%
Lowercase Letter
ValueCountFrequency (%)
e 9
64.3%
s 2
 
14.3%
o 1
 
7.1%
t 1
 
7.1%
k 1
 
7.1%
Open Punctuation
ValueCountFrequency (%)
( 118
98.3%
[ 2
 
1.7%
Close Punctuation
ValueCountFrequency (%)
) 118
98.3%
] 2
 
1.7%
Space Separator
ValueCountFrequency (%)
12310
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2301
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 45380
58.6%
Common 31869
41.2%
Latin 130
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 4180
 
9.2%
구 2957
 
6.5%
시 2392
 
5.3%
경 1445
 
3.2%
서 1372
 
3.0%
산 1344
 
3.0%
기 1169
 
2.6%
지 954
 
2.1%
울 942
 
2.1%
남 916
 
2.0%
Other values (436) 27709
61.1%
Latin
ValueCountFrequency (%)
A 27
20.8%
B 19
14.6%
L 15
11.5%
K 9
 
6.9%
e 9
 
6.9%
S 8
 
6.2%
I 5
 
3.8%
T 5
 
3.8%
R 5
 
3.8%
E 4
 
3.1%
Other values (14) 24
18.5%
Common
ValueCountFrequency (%)
12310
38.6%
1 3656
 
11.5%
- 2301
 
7.2%
2 2122
 
6.7%
3 1868
 
5.9%
4 1537
 
4.8%
5 1524
 
4.8%
6 1367
 
4.3%
7 1310
 
4.1%
0 1220
 
3.8%
Other values (12) 2654
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 45380
58.6%
ASCII 31999
41.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
12310
38.5%
1 3656
 
11.4%
- 2301
 
7.2%
2 2122
 
6.6%
3 1868
 
5.8%
4 1537
 
4.8%
5 1524
 
4.8%
6 1367
 
4.3%
7 1310
 
4.1%
0 1220
 
3.8%
Other values (36) 2784
 
8.7%
Hangul
ValueCountFrequency (%)
동 4180
 
9.2%
구 2957
 
6.5%
시 2392
 
5.3%
경 1445
 
3.2%
서 1372
 
3.0%
산 1344
 
3.0%
기 1169
 
2.6%
지 954
 
2.1%
울 942
 
2.1%
남 916
 
2.0%
Other values (436) 27709
61.1%

주소2
Text

MISSING 

Distinct8100
Distinct (%)93.8%
Missing1361
Missing (%)13.6%
Memory size156.2 KiB
2023-12-12T21:38:50.569718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length72
Median length59
Mean length29.615465
Min length10

Characters and Unicode

Total characters255848
Distinct characters720
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7629 ?
Unique (%)88.3%

Sample

1st row경기도 수원시 장안구 서부로 2067 (율전동, 삼성아파트)
2nd row인천광역시 남동구 백범로124번길 16 (만수동)
3rd row대구광역시 중구 중앙대로62길 15 (남산동)
4th row경상북도 경주시 현곡면 안현로 43-6 (금장주공아파트)
5th row경기도 안성시 대덕면 안성맞춤대로 1654, 유안아파트
ValueCountFrequency (%)
경기도 2285
 
4.6%
서울특별시 1110
 
2.2%
경상남도 583
 
1.2%
충청남도 492
 
1.0%
경상북도 477
 
1.0%
부산광역시 475
 
1.0%
인천광역시 435
 
0.9%
대구광역시 386
 
0.8%
전라북도 383
 
0.8%
강원도 350
 
0.7%
Other values (14543) 42426
85.9%
2023-12-12T21:38:51.367739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
40763
 
15.9%
동 9170
 
3.6%
시 8666
 
3.4%
로 7495
 
2.9%
) 7423
 
2.9%
( 7422
 
2.9%
1 6985
 
2.7%
도 6085
 
2.4%
구 5625
 
2.2%
2 5014
 
2.0%
Other values (710) 151200
59.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 162622
63.6%
Space Separator 40763
 
15.9%
Decimal Number 32489
 
12.7%
Close Punctuation 7453
 
2.9%
Open Punctuation 7453
 
2.9%
Other Punctuation 3176
 
1.2%
Dash Punctuation 1499
 
0.6%
Uppercase Letter 301
 
0.1%
Lowercase Letter 73
 
< 0.1%
Math Symbol 18
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 9170
 
5.6%
시 8666
 
5.3%
로 7495
 
4.6%
도 6085
 
3.7%
구 5625
 
3.5%
길 4096
 
2.5%
경 3716
 
2.3%
산 3190
 
2.0%
아 3082
 
1.9%
광 2914
 
1.8%
Other values (644) 108583
66.8%
Uppercase Letter
ValueCountFrequency (%)
L 77
25.6%
H 51
16.9%
B 33
11.0%
A 24
 
8.0%
S 19
 
6.3%
C 16
 
5.3%
G 15
 
5.0%
I 10
 
3.3%
E 8
 
2.7%
K 8
 
2.7%
Other values (10) 40
13.3%
Lowercase Letter
ValueCountFrequency (%)
e 41
56.2%
t 7
 
9.6%
h 6
 
8.2%
o 3
 
4.1%
s 3
 
4.1%
l 2
 
2.7%
r 1
 
1.4%
i 1
 
1.4%
p 1
 
1.4%
c 1
 
1.4%
Other values (7) 7
 
9.6%
Decimal Number
ValueCountFrequency (%)
1 6985
21.5%
2 5014
15.4%
3 3759
11.6%
4 2815
8.7%
5 2811
8.7%
6 2518
 
7.8%
0 2443
 
7.5%
7 2244
 
6.9%
8 2038
 
6.3%
9 1862
 
5.7%
Other Punctuation
ValueCountFrequency (%)
, 2964
93.3%
， 129
 
4.1%
. 29
 
0.9%
* 17
 
0.5%
@ 16
 
0.5%
? 11
 
0.3%
/ 4
 
0.1%
: 3
 
0.1%
& 2
 
0.1%
# 1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 7423
99.6%
] 30
 
0.4%
Open Punctuation
ValueCountFrequency (%)
( 7422
99.6%
[ 31
 
0.4%
Math Symbol
ValueCountFrequency (%)
~ 17
94.4%
< 1
 
5.6%
Space Separator
ValueCountFrequency (%)
40763
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1499
100.0%
Letter Number
ValueCountFrequency (%)
Ⅰ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 162622
63.6%
Common 92851
36.3%
Latin 375
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 9170
 
5.6%
시 8666
 
5.3%
로 7495
 
4.6%
도 6085
 
3.7%
구 5625
 
3.5%
길 4096
 
2.5%
경 3716
 
2.3%
산 3190
 
2.0%
아 3082
 
1.9%
광 2914
 
1.8%
Other values (644) 108583
66.8%
Latin
ValueCountFrequency (%)
L 77
20.5%
H 51
13.6%
e 41
10.9%
B 33
8.8%
A 24
 
6.4%
S 19
 
5.1%
C 16
 
4.3%
G 15
 
4.0%
I 10
 
2.7%
E 8
 
2.1%
Other values (28) 81
21.6%
Common
ValueCountFrequency (%)
40763
43.9%
) 7423
 
8.0%
( 7422
 
8.0%
1 6985
 
7.5%
2 5014
 
5.4%
3 3759
 
4.0%
, 2964
 
3.2%
4 2815
 
3.0%
5 2811
 
3.0%
6 2518
 
2.7%
Other values (18) 10377
 
11.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 162622
63.6%
ASCII 93096
36.4%
None 129
 
0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
40763
43.8%
) 7423
 
8.0%
( 7422
 
8.0%
1 6985
 
7.5%
2 5014
 
5.4%
3 3759
 
4.0%
, 2964
 
3.2%
4 2815
 
3.0%
5 2811
 
3.0%
6 2518
 
2.7%
Other values (54) 10622
 
11.4%
Hangul
ValueCountFrequency (%)
동 9170
 
5.6%
시 8666
 
5.3%
로 7495
 
4.6%
도 6085
 
3.7%
구 5625
 
3.5%
길 4096
 
2.5%
경 3716
 
2.3%
산 3190
 
2.0%
아 3082
 
1.9%
광 2914
 
1.8%
Other values (644) 108583
66.8%
None
ValueCountFrequency (%)
， 129
100.0%
Number Forms
ValueCountFrequency (%)
Ⅰ 1
100.0%

설치장소
Categorical

Distinct19
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
주택단지
5037 
도시공원
1325 
어린이집
1220 
유치원
1017 
학교
866 
Other values (14)
535 

Length

Max length7
Median length4
Mean length3.821
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
주택단지 5037
50.4%
도시공원 1325
 
13.2%
어린이집 1220
 
12.2%
유치원 1017
 
10.2%
학교 866
 
8.7%
식품접객업소 236
 
2.4%
놀이제공영업소 131
 
1.3%
대규모점포 33
 
0.3%
아동복지시설 29
 
0.3%
종교시설 25
 
0.2%
Other values (9) 81
 
0.8%

Length

2023-12-12T21:38:51.513866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
주택단지 5037
50.4%
도시공원 1325
 
13.2%
어린이집 1220
 
12.2%
유치원 1017
 
10.2%
학교 866
 
8.7%
식품접객업소 236
 
2.4%
놀이제공영업소 131
 
1.3%
대규모점포 33
 
0.3%
아동복지시설 29
 
0.3%
종교시설 25
 
0.2%
Other values (9) 81
 
0.8%

비고
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

Interactions

2023-12-12T21:38:47.784304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T21:38:51.598337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설번호설치장소
시설번호1.0000.503
설치장소0.5031.000
2023-12-12T21:38:51.680269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설번호설치장소
시설번호1.0000.311
설치장소0.3111.000

Missing values

2023-12-12T21:38:47.920261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:38:48.044937image/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.
2023-12-12T21:38:48.172549image/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

시설번호놀이시설명주소1주소2설치장소비고
60583549453율전 삼성2단지아파트 209동<NA>경기도 수원시 장안구 서부로 2067 (율전동, 삼성아파트)주택단지<NA>
54228084만수주공3단지 관리동 놀이터인천시 남동 만수4동 46 백범로 124번길 16인천광역시 남동구 백범로124번길 16 (만수동)주택단지<NA>
32274505대구프뢰벨 어린이집<NA>대구광역시 중구 중앙대로62길 15 (남산동)어린이집<NA>
40875519421단비유치원 놀이시설대구광역시 수성구 신매동 62번지<NA>유치원<NA>
58439546569금장주공1단지 1놀이터<NA>경상북도 경주시 현곡면 안현로 43-6 (금장주공아파트)주택단지<NA>
73859567105부여군 규암면 오수리 지구내 어린이공원충청남도 부여군 규암면 오수리113번지 주변<NA>도시공원<NA>
54251540431유안아파트 103동 뒤경기 안성시 대덕면 진현리산44번지 유안아파트경기도 안성시 대덕면 안성맞춤대로 1654, 유안아파트주택단지<NA>
54203540346DMC래미안e-편한세상아파트 어린이놀이터4서울 서대문구 북가좌동150서울특별시 서대문구 수색로 102 (북가좌동)주택단지<NA>
2593038364미주8차아파트 가동 어린이놀이터<NA>경기도 고양시 일산서구 산현로92번길 42 (일산동, 미주8차아파트)주택단지<NA>
64934555266용문사나래경기 양평군 용문면 중원리528-1<NA>놀이제공영업소<NA>
시설번호놀이시설명주소1주소2설치장소비고
53979539949부산정관롯데캐슬2차아파트 놀이터2(204동,205동사이)부산 기장군 정관면 모전리759번지부산광역시 기장군 정관면 정관3로 51주택단지<NA>
48577531594라움어린이집 내 놀이터경기 평택시 동삭동342-2경기도 평택시 동삭로 387-10 (동삭동)어린이집<NA>
828113224태우선파크아파트 어린이놀이시설<NA>부산광역시 부산진구 백양순환로35번길 43 (당감동)주택단지<NA>
54388540653삼부아그레빌서울 강남구 삼성동98-11번지서울특별시 강남구 영동대로114길 63 (삼성동)주택단지<NA>
44081524778성아어린이집 놀이터(실내)서울 강남구 도곡동515-15서울특별시 강남구 논현로32길 16 (도곡동)어린이집<NA>
53280538889광교e편한세상 1차아파트 6108동 놀이터경기 수원시 영통구 이의동1326번지 광교e편한세상 1차아파트경기도 수원시 영통구 센트럴타운로 76, 광교e편한세상 1차아파트 (이의동)주택단지<NA>
20932740열린숲어린이집 놀이터경기도 남양주시 지금동 391-8경기도 남양주시 미금로128번길 40 (지금동)어린이집<NA>
1306920995한마음어린이집경기 파주시 탄현면 갈현리 419-2번지경기도 파주시 탄현면 장릉로49번길 78어린이집<NA>
776812322다솜어린이공원<NA>경상남도 창원시 성산구 대정로 79 (남양동)도시공원<NA>
56512543795아름다운선재어린이집 놀이시설<NA>인천광역시 옹진군 백령로 359(선재어린이집)어린이집<NA>