Overview

Dataset statistics

Number of variables10
Number of observations194
Missing cells130
Missing cells (%)6.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory16.0 KiB
Average record size in memory84.7 B

Variable types

Numeric4
Text3
Categorical3

Dataset

Description울산광역시 중구에 소재한 어린이 놀이시설에 대한 데이터로 놀이시설명, 소재지 주소, 설치일자, 시설면적 등의 정보를 제공합니다.
Author울산광역시 중구
URLhttps://www.data.go.kr/data/15008808/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
시설번호 is highly overall correlated with 설치일자High correlation
설치일자 is highly overall correlated with 시설번호High correlation
시설면적 is highly overall correlated with 설치장소High correlation
설치장소 is highly overall correlated with 시설면적High correlation
실내외구분 is highly imbalanced (88.5%)Imbalance
소재지지번주소 has 82 (42.3%) missing valuesMissing
소재지도로명주소 has 19 (9.8%) missing valuesMissing
시설면적 has 29 (14.9%) missing valuesMissing
시설번호 has unique valuesUnique
놀이시설명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 12:53:24.766771
Analysis finished2023-12-12 12:53:27.451119
Duration2.68 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct194
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean328475.14
Minimum7694
Maximum589764
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-12T21:53:27.536350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7694
5-th percentile10801.3
Q110907.25
median538682
Q3552519.75
95-th percentile589039.3
Maximum589764
Range582070
Interquartile range (IQR)541612.5

Descriptive statistics

Standard deviation266148.81
Coefficient of variation (CV)0.81025554
Kurtosis-1.8963806
Mean328475.14
Median Absolute Deviation (MAD)40438
Skewness-0.32980968
Sum63724178
Variance7.0835187 × 1010
MonotonicityNot monotonic
2023-12-12T21:53:27.669704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7694 1
 
0.5%
548672 1
 
0.5%
539830 1
 
0.5%
539831 1
 
0.5%
541847 1
 
0.5%
541848 1
 
0.5%
541851 1
 
0.5%
541955 1
 
0.5%
541956 1
 
0.5%
543123 1
 
0.5%
Other values (184) 184
94.8%
ValueCountFrequency (%)
7694 1
0.5%
7709 1
0.5%
7713 1
0.5%
7714 1
0.5%
7780 1
0.5%
7781 1
0.5%
8397 1
0.5%
8448 1
0.5%
8481 1
0.5%
10800 1
0.5%
ValueCountFrequency (%)
589764 1
0.5%
589763 1
0.5%
589762 1
0.5%
589190 1
0.5%
589174 1
0.5%
589173 1
0.5%
589172 1
0.5%
589171 1
0.5%
589170 1
0.5%
589168 1
0.5%

놀이시설명
Text

UNIQUE 

Distinct194
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-12-12T21:53:27.919271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length25
Mean length14.814433
Min length6

Characters and Unicode

Total characters2874
Distinct characters237
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

Unique194 ?
Unique (%)100.0%

Sample

1st row행복한아이 어린이집 놀이터
2nd row영광예능 어린이집 놀이터
3rd row열린교실 어린이집 놀이터
4th row유엔아이 어린이집 놀이터
5th row성안어린이집 놀이터
ValueCountFrequency (%)
놀이터 110
 
21.2%
어린이집 16
 
3.1%
앞 12
 
2.3%
울산 11
 
2.1%
유아놀이터 11
 
2.1%
102동 8
 
1.5%
옆 7
 
1.3%
어린이놀이터1 7
 
1.3%
아파트 6
 
1.2%
어린이놀이터2 6
 
1.2%
Other values (211) 326
62.7%
2023-12-12T21:53:28.321402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
326
 
11.3%
이 275
 
9.6%
놀 175
 
6.1%
터 172
 
6.0%
동 99
 
3.4%
린 96
 
3.3%
1 90
 
3.1%
어 83
 
2.9%
아 80
 
2.8%
0 66
 
2.3%
Other values (227) 1412
49.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2178
75.8%
Space Separator 326
 
11.3%
Decimal Number 290
 
10.1%
Uppercase Letter 30
 
1.0%
Lowercase Letter 26
 
0.9%
Close Punctuation 7
 
0.2%
Open Punctuation 7
 
0.2%
Dash Punctuation 6
 
0.2%
Other Punctuation 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 275
 
12.6%
놀 175
 
8.0%
터 172
 
7.9%
동 99
 
4.5%
린 96
 
4.4%
어 83
 
3.8%
아 80
 
3.7%
트 63
 
2.9%
파 58
 
2.7%
지 55
 
2.5%
Other values (195) 1022
46.9%
Decimal Number
ValueCountFrequency (%)
1 90
31.0%
0 66
22.8%
2 60
20.7%
3 27
 
9.3%
5 15
 
5.2%
4 15
 
5.2%
6 5
 
1.7%
7 5
 
1.7%
8 4
 
1.4%
9 3
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
H 8
26.7%
L 8
26.7%
K 3
 
10.0%
R 2
 
6.7%
I 2
 
6.7%
P 2
 
6.7%
A 2
 
6.7%
B 1
 
3.3%
D 1
 
3.3%
S 1
 
3.3%
Lowercase Letter
ValueCountFrequency (%)
c 10
38.5%
e 8
30.8%
k 5
19.2%
p 1
 
3.8%
i 1
 
3.8%
v 1
 
3.8%
Other Punctuation
ValueCountFrequency (%)
/ 2
50.0%
' 2
50.0%
Space Separator
ValueCountFrequency (%)
326
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2178
75.8%
Common 640
 
22.3%
Latin 56
 
1.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 275
 
12.6%
놀 175
 
8.0%
터 172
 
7.9%
동 99
 
4.5%
린 96
 
4.4%
어 83
 
3.8%
아 80
 
3.7%
트 63
 
2.9%
파 58
 
2.7%
지 55
 
2.5%
Other values (195) 1022
46.9%
Common
ValueCountFrequency (%)
326
50.9%
1 90
 
14.1%
0 66
 
10.3%
2 60
 
9.4%
3 27
 
4.2%
5 15
 
2.3%
4 15
 
2.3%
) 7
 
1.1%
( 7
 
1.1%
- 6
 
0.9%
Other values (6) 21
 
3.3%
Latin
ValueCountFrequency (%)
c 10
17.9%
e 8
14.3%
H 8
14.3%
L 8
14.3%
k 5
8.9%
K 3
 
5.4%
R 2
 
3.6%
I 2
 
3.6%
P 2
 
3.6%
A 2
 
3.6%
Other values (6) 6
10.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2178
75.8%
ASCII 696
 
24.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
326
46.8%
1 90
 
12.9%
0 66
 
9.5%
2 60
 
8.6%
3 27
 
3.9%
5 15
 
2.2%
4 15
 
2.2%
c 10
 
1.4%
e 8
 
1.1%
H 8
 
1.1%
Other values (22) 71
 
10.2%
Hangul
ValueCountFrequency (%)
이 275
 
12.6%
놀 175
 
8.0%
터 172
 
7.9%
동 99
 
4.5%
린 96
 
4.4%
어 83
 
3.8%
아 80
 
3.7%
트 63
 
2.9%
파 58
 
2.7%
지 55
 
2.5%
Other values (195) 1022
46.9%

우편번호
Real number (ℝ)

Distinct67
Distinct (%)34.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44481.845
Minimum44401
Maximum44551
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-12T21:53:28.456272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum44401
5-th percentile44415
Q144457.25
median44476.5
Q344513.5
95-th percentile44550
Maximum44551
Range150
Interquartile range (IQR)56.25

Descriptive statistics

Standard deviation41.934402
Coefficient of variation (CV)0.00094273072
Kurtosis-0.8302428
Mean44481.845
Median Absolute Deviation (MAD)22.5
Skewness0.045973056
Sum8629478
Variance1758.4941
MonotonicityNot monotonic
2023-12-12T21:53:28.593512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
44550 9
 
4.6%
44539 9
 
4.6%
44469 7
 
3.6%
44495 7
 
3.6%
44473 6
 
3.1%
44455 6
 
3.1%
44478 6
 
3.1%
44551 6
 
3.1%
44496 6
 
3.1%
44461 6
 
3.1%
Other values (57) 126
64.9%
ValueCountFrequency (%)
44401 3
1.5%
44404 2
1.0%
44406 2
1.0%
44412 1
 
0.5%
44415 4
2.1%
44416 2
1.0%
44417 2
1.0%
44419 3
1.5%
44420 1
 
0.5%
44422 2
1.0%
ValueCountFrequency (%)
44551 6
3.1%
44550 9
4.6%
44546 2
 
1.0%
44544 1
 
0.5%
44543 1
 
0.5%
44541 2
 
1.0%
44540 5
2.6%
44539 9
4.6%
44538 2
 
1.0%
44534 3
 
1.5%

소재지지번주소
Text

MISSING 

Distinct93
Distinct (%)83.0%
Missing82
Missing (%)42.3%
Memory size1.6 KiB
2023-12-12T21:53:28.850452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length34
Mean length16.839286
Min length12

Characters and Unicode

Total characters1886
Distinct characters77
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique80 ?
Unique (%)71.4%

Sample

1st row울산 중구 태화동 432-8
2nd row울산 중구 성안동 387-20
3rd row울산 중구 복산1동 496-1
4th row울산 중구 서동 70-15
5th row울산 중구 성안동 384-3
ValueCountFrequency (%)
중구 112
24.7%
울산 97
21.4%
태화동 18
 
4.0%
울산광역시 15
 
3.3%
남외동 10
 
2.2%
약사동 8
 
1.8%
복산1동 7
 
1.5%
성안동 7
 
1.5%
다운동 6
 
1.3%
우정동 5
 
1.1%
Other values (124) 168
37.1%
2023-12-12T21:53:29.575333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
341
18.1%
산 139
 
7.4%
동 122
 
6.5%
구 117
 
6.2%
울 112
 
5.9%
중 112
 
5.9%
1 87
 
4.6%
- 76
 
4.0%
0 54
 
2.9%
3 54
 
2.9%
Other values (67) 672
35.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1010
53.6%
Decimal Number 456
24.2%
Space Separator 341
 
18.1%
Dash Punctuation 76
 
4.0%
Uppercase Letter 2
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 139
13.8%
동 122
12.1%
구 117
11.6%
울 112
 
11.1%
중 112
 
11.1%
지 37
 
3.7%
복 25
 
2.5%
번 24
 
2.4%
화 21
 
2.1%
태 21
 
2.1%
Other values (52) 280
27.7%
Decimal Number
ValueCountFrequency (%)
1 87
19.1%
0 54
11.8%
3 54
11.8%
2 50
11.0%
7 44
9.6%
4 42
9.2%
6 38
8.3%
5 34
 
7.5%
8 28
 
6.1%
9 25
 
5.5%
Uppercase Letter
ValueCountFrequency (%)
S 1
50.0%
K 1
50.0%
Space Separator
ValueCountFrequency (%)
341
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 76
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1010
53.6%
Common 874
46.3%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 139
13.8%
동 122
12.1%
구 117
11.6%
울 112
 
11.1%
중 112
 
11.1%
지 37
 
3.7%
복 25
 
2.5%
번 24
 
2.4%
화 21
 
2.1%
태 21
 
2.1%
Other values (52) 280
27.7%
Common
ValueCountFrequency (%)
341
39.0%
1 87
 
10.0%
- 76
 
8.7%
0 54
 
6.2%
3 54
 
6.2%
2 50
 
5.7%
7 44
 
5.0%
4 42
 
4.8%
6 38
 
4.3%
5 34
 
3.9%
Other values (3) 54
 
6.2%
Latin
ValueCountFrequency (%)
S 1
50.0%
K 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1010
53.6%
ASCII 876
46.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
341
38.9%
1 87
 
9.9%
- 76
 
8.7%
0 54
 
6.2%
3 54
 
6.2%
2 50
 
5.7%
7 44
 
5.0%
4 42
 
4.8%
6 38
 
4.3%
5 34
 
3.9%
Other values (5) 56
 
6.4%
Hangul
ValueCountFrequency (%)
산 139
13.8%
동 122
12.1%
구 117
11.6%
울 112
 
11.1%
중 112
 
11.1%
지 37
 
3.7%
복 25
 
2.5%
번 24
 
2.4%
화 21
 
2.1%
태 21
 
2.1%
Other values (52) 280
27.7%

소재지도로명주소
Text

MISSING 

Distinct129
Distinct (%)73.7%
Missing19
Missing (%)9.8%
Memory size1.6 KiB
2023-12-12T21:53:29.944937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length40
Mean length27.977143
Min length20

Characters and Unicode

Total characters4896
Distinct characters182
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique99 ?
Unique (%)56.6%

Sample

1st row울산광역시 중구 신기9길 18 (태화동)
2nd row울산광역시 중구 함월22길 11-6 (성안동)
3rd row울산광역시 중구 학성2길 4 (복산동)
4th row울산광역시 중구 병영성7길 50 (서동)
5th row울산광역시 중구 함월21길 26 (성안동)
ValueCountFrequency (%)
중구 176
 
17.6%
울산광역시 175
 
17.5%
태화동 24
 
2.4%
종가로 24
 
2.4%
서동 18
 
1.8%
복산동 16
 
1.6%
남외동 16
 
1.6%
10 15
 
1.5%
우정동 13
 
1.3%
유곡동 13
 
1.3%
Other values (245) 511
51.0%
2023-12-12T21:53:30.520941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
826
 
16.9%
동 216
 
4.4%
산 213
 
4.4%
구 200
 
4.1%
시 191
 
3.9%
울 185
 
3.8%
) 180
 
3.7%
( 180
 
3.7%
중 180
 
3.7%
역 175
 
3.6%
Other values (172) 2350
48.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2968
60.6%
Space Separator 826
 
16.9%
Decimal Number 606
 
12.4%
Close Punctuation 185
 
3.8%
Open Punctuation 185
 
3.8%
Other Punctuation 67
 
1.4%
Uppercase Letter 33
 
0.7%
Dash Punctuation 22
 
0.4%
Lowercase Letter 3
 
0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 216
 
7.3%
산 213
 
7.2%
구 200
 
6.7%
시 191
 
6.4%
울 185
 
6.2%
중 180
 
6.1%
역 175
 
5.9%
광 175
 
5.9%
길 96
 
3.2%
로 87
 
2.9%
Other values (146) 1250
42.1%
Decimal Number
ValueCountFrequency (%)
1 137
22.6%
2 87
14.4%
5 64
10.6%
0 63
10.4%
6 60
9.9%
3 57
9.4%
4 50
 
8.3%
8 36
 
5.9%
9 27
 
4.5%
7 25
 
4.1%
Uppercase Letter
ValueCountFrequency (%)
C 10
30.3%
L 8
24.2%
H 8
24.2%
K 6
18.2%
S 1
 
3.0%
Other Punctuation
ValueCountFrequency (%)
, 61
91.0%
* 5
 
7.5%
， 1
 
1.5%
Close Punctuation
ValueCountFrequency (%)
) 180
97.3%
] 5
 
2.7%
Open Punctuation
ValueCountFrequency (%)
( 180
97.3%
[ 5
 
2.7%
Space Separator
ValueCountFrequency (%)
826
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 3
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2968
60.6%
Common 1891
38.6%
Latin 37
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 216
 
7.3%
산 213
 
7.2%
구 200
 
6.7%
시 191
 
6.4%
울 185
 
6.2%
중 180
 
6.1%
역 175
 
5.9%
광 175
 
5.9%
길 96
 
3.2%
로 87
 
2.9%
Other values (146) 1250
42.1%
Common
ValueCountFrequency (%)
826
43.7%
) 180
 
9.5%
( 180
 
9.5%
1 137
 
7.2%
2 87
 
4.6%
5 64
 
3.4%
0 63
 
3.3%
, 61
 
3.2%
6 60
 
3.2%
3 57
 
3.0%
Other values (9) 176
 
9.3%
Latin
ValueCountFrequency (%)
C 10
27.0%
L 8
21.6%
H 8
21.6%
K 6
16.2%
e 3
 
8.1%
Ⅱ 1
 
2.7%
S 1
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2968
60.6%
ASCII 1926
39.3%
Number Forms 1
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
826
42.9%
) 180
 
9.3%
( 180
 
9.3%
1 137
 
7.1%
2 87
 
4.5%
5 64
 
3.3%
0 63
 
3.3%
, 61
 
3.2%
6 60
 
3.1%
3 57
 
3.0%
Other values (14) 211
 
11.0%
Hangul
ValueCountFrequency (%)
동 216
 
7.3%
산 213
 
7.2%
구 200
 
6.7%
시 191
 
6.4%
울 185
 
6.2%
중 180
 
6.1%
역 175
 
5.9%
광 175
 
5.9%
길 96
 
3.2%
로 87
 
2.9%
Other values (146) 1250
42.1%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%
None
ValueCountFrequency (%)
， 1
100.0%

설치일자
Real number (ℝ)

HIGH CORRELATION 

Distinct121
Distinct (%)62.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40331.567
Minimum31108
Maximum45149
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-12T21:53:30.714961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum31108
5-th percentile33651.45
Q138877
median41117.5
Q342192
95-th percentile45108.75
Maximum45149
Range14041
Interquartile range (IQR)3315

Descriptive statistics

Standard deviation3042.6108
Coefficient of variation (CV)0.075439934
Kurtosis0.46318134
Mean40331.567
Median Absolute Deviation (MAD)1294
Skewness-0.86083208
Sum7824324
Variance9257480.2
MonotonicityNot monotonic
2023-12-12T21:53:30.860432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41786 7
 
3.6%
45125 6
 
3.1%
38718 4
 
2.1%
42389 4
 
2.1%
38108 4
 
2.1%
42033 4
 
2.1%
42215 4
 
2.1%
37987 4
 
2.1%
37165 4
 
2.1%
38353 4
 
2.1%
Other values (111) 149
76.8%
ValueCountFrequency (%)
31108 1
0.5%
32755 1
0.5%
32773 1
0.5%
32994 1
0.5%
33091 1
0.5%
33103 1
0.5%
33234 1
0.5%
33393 1
0.5%
33500 1
0.5%
33539 1
0.5%
ValueCountFrequency (%)
45149 3
1.5%
45125 6
3.1%
45112 1
 
0.5%
45107 2
 
1.0%
45100 1
 
0.5%
44609 2
 
1.0%
44540 1
 
0.5%
44257 2
 
1.0%
44132 1
 
0.5%
43465 1
 
0.5%

설치장소
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
주택단지
145 
어린이집
49 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
주택단지 145
74.7%
어린이집 49
 
25.3%

Length

2023-12-12T21:53:31.005043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:53:31.126614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주택단지 145
74.7%
어린이집 49
 
25.3%

시설면적
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct118
Distinct (%)71.5%
Missing29
Missing (%)14.9%
Infinite0
Infinite (%)0.0%
Mean525.22303
Minimum26.07
Maximum1535.86
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-12T21:53:31.264008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum26.07
5-th percentile70.068
Q1202
median434
Q3776
95-th percentile1144.7
Maximum1535.86
Range1509.79
Interquartile range (IQR)574

Descriptive statistics

Standard deviation377.4471
Coefficient of variation (CV)0.71864156
Kurtosis-0.13550202
Mean525.22303
Median Absolute Deviation (MAD)265.5
Skewness0.78945811
Sum86661.8
Variance142466.31
MonotonicityNot monotonic
2023-12-12T21:53:31.434446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
776.0 4
 
2.1%
1535.86 4
 
2.1%
938.16 4
 
2.1%
1087.21 4
 
2.1%
132.0 4
 
2.1%
350.0 3
 
1.5%
431.0 3
 
1.5%
1326.19 3
 
1.5%
999.02 3
 
1.5%
200.0 3
 
1.5%
Other values (108) 130
67.0%
(Missing) 29
 
14.9%
ValueCountFrequency (%)
26.07 1
0.5%
26.4 1
0.5%
41.0 1
0.5%
41.41 1
0.5%
54.0 1
0.5%
55.0 1
0.5%
60.0 1
0.5%
69.0 1
0.5%
69.66 1
0.5%
71.7 1
0.5%
ValueCountFrequency (%)
1535.86 4
2.1%
1453.08 1
 
0.5%
1326.19 3
1.5%
1144.7 3
1.5%
1130.0 1
 
0.5%
1087.21 4
2.1%
1086.69 3
1.5%
999.02 3
1.5%
960.0 3
1.5%
953.82 3
1.5%

실내외구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
실외
191 
실내
 
3

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 191
98.5%
실내 3
 
1.5%

Length

2023-12-12T21:53:31.597741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:53:31.712630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
실외 191
98.5%
실내 3
 
1.5%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-09-07
194 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-09-07
2nd row2023-09-07
3rd row2023-09-07
4th row2023-09-07
5th row2023-09-07

Common Values

ValueCountFrequency (%)
2023-09-07 194
100.0%

Length

2023-12-12T21:53:31.844043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:53:31.955754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-09-07 194
100.0%

Interactions

2023-12-12T21:53:26.668393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:53:25.362910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:53:25.788113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:53:26.226510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:53:26.759444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:53:25.465698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:53:25.884811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:53:26.363726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:53:26.853508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:53:25.584123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:53:25.989530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:53:26.475801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:53:26.953581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:53:25.686028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:53:26.097632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:53:26.576025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T21:53:32.023672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설번호우편번호소재지지번주소설치일자설치장소시설면적실내외구분
시설번호1.0000.5271.0000.9480.0450.4820.067
우편번호0.5271.0001.0000.5440.3640.5150.155
소재지지번주소1.0001.0001.0001.0001.0000.9621.000
설치일자0.9480.5441.0001.0000.2010.3920.000
설치장소0.0450.3641.0000.2011.0000.6820.000
시설면적0.4820.5150.9620.3920.6821.0000.000
실내외구분0.0670.1551.0000.0000.0000.0001.000
2023-12-12T21:53:32.125702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
실내외구분설치장소
실내외구분1.0000.000
설치장소0.0001.000
2023-12-12T21:53:32.210923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설번호우편번호설치일자시설면적설치장소실내외구분
시설번호1.0000.2320.9290.2690.0540.111
우편번호0.2321.0000.2540.3380.2740.119
설치일자0.9290.2541.0000.2160.1880.000
시설면적0.2690.3380.2161.0000.5180.000
설치장소0.0540.2740.1880.5181.0000.000
실내외구분0.1110.1190.0000.0000.0001.000

Missing values

2023-12-12T21:53:27.124832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:53:27.287548image/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.
2023-12-12T21:53:27.394132image/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

시설번호놀이시설명우편번호소재지지번주소소재지도로명주소설치일자설치장소시설면적실내외구분데이터기준일자
07694행복한아이 어린이집 놀이터44457울산 중구 태화동 432-8울산광역시 중구 신기9길 18 (태화동)38718어린이집171.0실외2023-09-07
17709영광예능 어린이집 놀이터44416울산 중구 성안동 387-20울산광역시 중구 함월22길 11-6 (성안동)39841어린이집102.0실외2023-09-07
27780열린교실 어린이집 놀이터44517울산 중구 복산1동 496-1울산광역시 중구 학성2길 4 (복산동)38353어린이집132.0실외2023-09-07
37781유엔아이 어린이집 놀이터44484울산 중구 서동 70-15울산광역시 중구 병영성7길 50 (서동)38718어린이집116.0실외2023-09-07
48397성안어린이집 놀이터44416울산 중구 성안동 384-3울산광역시 중구 함월21길 26 (성안동)41130어린이집161.7실외2023-09-07
510800꼬마성 어린이집 놀이터44489울산 중구 서동 284울산광역시 중구 고복수1길 21 (서동)35065어린이집180.0실외2023-09-07
610802동화속 어린이집 놀이터44477울산 중구 복산동 192-7울산광역시 중구 도화골5길 29 (복산동)37987어린이집180.0실외2023-09-07
710803딩동댕 어린이집 놀이터44457울산 중구 태화동 452-3울산광역시 중구 신기9길 30 (태화동)37987어린이집<NA>실외2023-09-07
810804명희어린이집 놀이터44507울산 중구 남외동 463-16울산광역시 중구 해오름4길 42 (남외동)38353어린이집450.0실외2023-09-07
910807열린 어린이집 놀이터44512울산 중구 학성동 299-2울산광역시 중구 서원13길 26 (학성동)40672어린이집153.0실외2023-09-07
시설번호놀이시설명우편번호소재지지번주소소재지도로명주소설치일자설치장소시설면적실내외구분데이터기준일자
184589168센트리지 3단지 어린이놀이터144469울산광역시 중구 복산동433-번지 센트리지3단지 아파트 302동 앞<NA>45125주택단지495.84실외2023-09-07
185589170센트리지 3단지 어린이놀이터244469울산광역시 중구 복산동433-7 센트리지 3단지 305동 앞<NA>45125주택단지400.14실외2023-09-07
186589171센트리지 3단지 유아놀이터44469울산광역시 중구 복산동433-7번지 센트리지 3단지 306동 앞<NA>45125주택단지167.29실외2023-09-07
187589172센트리지4단지 어린이놀이터144469울산광역시 중구 복산동433-7번지 센트리지 4단지 404동 옆<NA>45125주택단지591.11실외2023-09-07
188589173센트리지4단지 어린이놀이터244469울산광역시 중구 복산동433-7번지 센트리지4단지 402동 뒤<NA>45125주택단지299.32실외2023-09-07
189589174센트리지4단지 유아놀이터44469울산광역시 중구 복산동센트리지 4단지 401동 옆<NA>45125주택단지111.77실외2023-09-07
190589190번영로센트리지2단지 202동 어린이놀이터144419울산광역시 중구 복산동611-4<NA>45112주택단지705.71실외2023-09-07
191589762울산 중구 번영로센트리지 5단지 어린이놀이터1번44470울산광역시 중구 복산동번영로 센트리지5단지 아파트 어린이놀이터 1번<NA>45149주택단지280.0실외2023-09-07
192589763번영로 센트리지5단지 아파트 어린이놀이터 2번44470울산광역시 중구 복산동번영로 센트리지5단지 아파트 어린이놀이터 2번<NA>45149주택단지630.0실외2023-09-07
193589764번영로 센트리지5단지 아파트 유아놀이터44470울산광역시 중구 복산동번영로 센트리지5단지 아파트 유아놀이터<NA>45149주택단지236.0실외2023-09-07