Overview

Dataset statistics

Number of variables15
Number of observations49
Missing cells32
Missing cells (%)4.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.3 KiB
Average record size in memory131.7 B

Variable types

Numeric2
Text3
Categorical9
DateTime1

Dataset

Description2020년 8월 기준 양주시 내에 있는 총 49개의 공중화장실에 대한 위치, 명칭, 형식, 편의시설에 대한 현황 정보입니다.
Author양주시시설관리공단
URLhttps://www.data.go.kr/data/15073344/fileData.do

Alerts

위 치 is highly overall correlated with 연번 and 6 other fieldsHigh correlation
어린이변기 is highly overall correlated with 연번 and 6 other fieldsHigh correlation
장애인화장실 is highly overall correlated with 면 적(㎡) and 5 other fieldsHigh correlation
안심벨 is highly overall correlated with 위 치 and 2 other fieldsHigh correlation
형식 is highly overall correlated with 위 치 and 5 other fieldsHigh correlation
자동문 is highly overall correlated with 위 치 and 5 other fieldsHigh correlation
기저귀교환대 is highly overall correlated with 면 적(㎡) and 2 other fieldsHigh correlation
냉방시설 is highly overall correlated with 위 치 and 3 other fieldsHigh correlation
연번 is highly overall correlated with 위 치 and 1 other fieldsHigh correlation
면 적(㎡) is highly overall correlated with 물비누 and 3 other fieldsHigh correlation
물비누 is highly overall correlated with 면 적(㎡) and 1 other fieldsHigh correlation
어린이변기 is highly imbalanced (66.8%)Imbalance
도로명 주소 has 32 (65.3%) missing valuesMissing
연번 has unique valuesUnique
명 칭 has unique valuesUnique

Reproduction

Analysis started2023-12-12 04:25:04.289701
Analysis finished2023-12-12 04:25:06.191369
Duration1.9 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25
Minimum1
Maximum49
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-12T13:25:06.261206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.4
Q113
median25
Q337
95-th percentile46.6
Maximum49
Range48
Interquartile range (IQR)24

Descriptive statistics

Standard deviation14.28869
Coefficient of variation (CV)0.57154761
Kurtosis-1.2
Mean25
Median Absolute Deviation (MAD)12
Skewness0
Sum1225
Variance204.16667
MonotonicityStrictly increasing
2023-12-12T13:25:06.391833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
1 1
 
2.0%
38 1
 
2.0%
28 1
 
2.0%
29 1
 
2.0%
30 1
 
2.0%
31 1
 
2.0%
32 1
 
2.0%
33 1
 
2.0%
34 1
 
2.0%
35 1
 
2.0%
Other values (39) 39
79.6%
ValueCountFrequency (%)
1 1
2.0%
2 1
2.0%
3 1
2.0%
4 1
2.0%
5 1
2.0%
6 1
2.0%
7 1
2.0%
8 1
2.0%
9 1
2.0%
10 1
2.0%
ValueCountFrequency (%)
49 1
2.0%
48 1
2.0%
47 1
2.0%
46 1
2.0%
45 1
2.0%
44 1
2.0%
43 1
2.0%
42 1
2.0%
41 1
2.0%
40 1
2.0%

명 칭
Text

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
2023-12-12T13:25:06.614742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length17
Mean length11.612245
Min length6

Characters and Unicode

Total characters569
Distinct characters118
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

Unique49 ?
Unique (%)100.0%

Sample

1st row가래비시장 공중화장실
2nd row감악산등산로 공중화장실
3rd row신산시장 공중화장실
4th row신산체육공원 공중화장실
5th row신산족구장 공중화장실
ValueCountFrequency (%)
공중화장실 32
32.7%
독바위공원 3
 
3.1%
옥정 2
 
2.0%
이동식 2
 
2.0%
덕계근린공원 2
 
2.0%
고읍제2근린공원 2
 
2.0%
옥정중앙공원 2
 
2.0%
선돌공원 2
 
2.0%
고읍 2
 
2.0%
생태숲공원 1
 
1.0%
Other values (48) 48
49.0%
2023-12-12T13:25:06.999506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
공 64
 
11.2%
49
 
8.6%
장 47
 
8.3%
중 38
 
6.7%
화 37
 
6.5%
실 36
 
6.3%
원 31
 
5.4%
린 13
 
2.3%
근 10
 
1.8%
이 9
 
1.6%
Other values (108) 235
41.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 493
86.6%
Space Separator 49
 
8.6%
Uppercase Letter 10
 
1.8%
Decimal Number 9
 
1.6%
Close Punctuation 4
 
0.7%
Open Punctuation 4
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
공 64
 
13.0%
장 47
 
9.5%
중 38
 
7.7%
화 37
 
7.5%
실 36
 
7.3%
원 31
 
6.3%
린 13
 
2.6%
근 10
 
2.0%
이 9
 
1.8%
정 8
 
1.6%
Other values (96) 200
40.6%
Uppercase Letter
ValueCountFrequency (%)
A 4
40.0%
B 3
30.0%
D 1
 
10.0%
E 1
 
10.0%
C 1
 
10.0%
Decimal Number
ValueCountFrequency (%)
2 5
55.6%
1 2
 
22.2%
3 1
 
11.1%
4 1
 
11.1%
Space Separator
ValueCountFrequency (%)
49
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 493
86.6%
Common 66
 
11.6%
Latin 10
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
공 64
 
13.0%
장 47
 
9.5%
중 38
 
7.7%
화 37
 
7.5%
실 36
 
7.3%
원 31
 
6.3%
린 13
 
2.6%
근 10
 
2.0%
이 9
 
1.8%
정 8
 
1.6%
Other values (96) 200
40.6%
Common
ValueCountFrequency (%)
49
74.2%
2 5
 
7.6%
) 4
 
6.1%
( 4
 
6.1%
1 2
 
3.0%
3 1
 
1.5%
4 1
 
1.5%
Latin
ValueCountFrequency (%)
A 4
40.0%
B 3
30.0%
D 1
 
10.0%
E 1
 
10.0%
C 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 493
86.6%
ASCII 76
 
13.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
공 64
 
13.0%
장 47
 
9.5%
중 38
 
7.7%
화 37
 
7.5%
실 36
 
7.3%
원 31
 
6.3%
린 13
 
2.6%
근 10
 
2.0%
이 9
 
1.8%
정 8
 
1.6%
Other values (96) 200
40.6%
ASCII
ValueCountFrequency (%)
49
64.5%
2 5
 
6.6%
A 4
 
5.3%
) 4
 
5.3%
( 4
 
5.3%
B 3
 
3.9%
1 2
 
2.6%
D 1
 
1.3%
E 1
 
1.3%
C 1
 
1.3%
Other values (2) 2
 
2.6%

위 치
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)12.2%
Missing0
Missing (%)0.0%
Memory size524.0 B
공원
24 
유원지
10 
체육시설
5 
자전거도로
5 
재래시장
3 

Length

Max length5
Median length4
Mean length2.877551
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row재래시장
2nd row유원지
3rd row재래시장
4th row체육시설
5th row체육시설

Common Values

ValueCountFrequency (%)
공원 24
49.0%
유원지 10
20.4%
체육시설 5
 
10.2%
자전거도로 5
 
10.2%
재래시장 3
 
6.1%
이동식 2
 
4.1%

Length

2023-12-12T13:25:07.146748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:25:07.256124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공원 24
49.0%
유원지 10
20.4%
체육시설 5
 
10.2%
자전거도로 5
 
10.2%
재래시장 3
 
6.1%
이동식 2
 
4.1%

면 적(㎡)
Real number (ℝ)

HIGH CORRELATION 

Distinct39
Distinct (%)79.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.210204
Minimum3.3
Maximum113.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-12T13:25:07.370442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.3
5-th percentile3.564
Q112.5
median21
Q336
95-th percentile82.182
Maximum113.4
Range110.1
Interquartile range (IQR)23.5

Descriptive statistics

Standard deviation25.998728
Coefficient of variation (CV)0.89005638
Kurtosis1.7087168
Mean29.210204
Median Absolute Deviation (MAD)13.5
Skewness1.4482217
Sum1431.3
Variance675.93388
MonotonicityNot monotonic
2023-12-12T13:25:07.481499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
12.5 3
 
6.1%
3.3 3
 
6.1%
36.0 3
 
6.1%
6.0 2
 
4.1%
55.0 2
 
4.1%
13.0 2
 
4.1%
21.0 2
 
4.1%
31.5 1
 
2.0%
4.3 1
 
2.0%
17.0 1
 
2.0%
Other values (29) 29
59.2%
ValueCountFrequency (%)
3.3 3
6.1%
3.96 1
 
2.0%
4.3 1
 
2.0%
5.28 1
 
2.0%
6.0 2
4.1%
6.5 1
 
2.0%
7.5 1
 
2.0%
10.35 1
 
2.0%
10.84 1
 
2.0%
12.5 3
6.1%
ValueCountFrequency (%)
113.4 1
2.0%
93.54 1
2.0%
82.97 1
2.0%
81.0 1
2.0%
72.32 1
2.0%
67.68 1
2.0%
60.0 1
2.0%
55.0 2
4.1%
50.5 1
2.0%
36.29 1
2.0%

도로명 주소
Text

MISSING 

Distinct13
Distinct (%)76.5%
Missing32
Missing (%)65.3%
Memory size524.0 B
2023-12-12T13:25:07.629901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length21
Mean length20
Min length15

Characters and Unicode

Total characters340
Distinct characters46
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)52.9%

Sample

1st row경기도 양주시 광적면 가래비7길 5
2nd row경기도 양주시 남면 감악산로 244번길 189
3rd row경기도 양주시 남면 감악산로 244번길 189
4th row경기도 양주시 고암길 200-20
5th row경기도 양주시 고암길 306-31
ValueCountFrequency (%)
경기도 17
20.7%
양주시 17
20.7%
광적면 4
 
4.9%
고읍남로 3
 
3.7%
1435번길 2
 
2.4%
고암길 2
 
2.4%
303 2
 
2.4%
618번길 2
 
2.4%
56 2
 
2.4%
부흥로 2
 
2.4%
Other values (22) 29
35.4%
2023-12-12T13:25:07.891340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
65
19.1%
경 17
 
5.0%
도 17
 
5.0%
양 17
 
5.0%
주 17
 
5.0%
시 17
 
5.0%
기 17
 
5.0%
로 13
 
3.8%
1 11
 
3.2%
길 10
 
2.9%
Other values (36) 139
40.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 198
58.2%
Decimal Number 73
 
21.5%
Space Separator 65
 
19.1%
Dash Punctuation 4
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 17
 
8.6%
도 17
 
8.6%
양 17
 
8.6%
주 17
 
8.6%
시 17
 
8.6%
기 17
 
8.6%
로 13
 
6.6%
길 10
 
5.1%
면 8
 
4.0%
번 6
 
3.0%
Other values (24) 59
29.8%
Decimal Number
ValueCountFrequency (%)
1 11
15.1%
3 9
12.3%
4 8
11.0%
6 8
11.0%
0 8
11.0%
5 8
11.0%
2 8
11.0%
8 5
6.8%
9 4
 
5.5%
7 4
 
5.5%
Space Separator
ValueCountFrequency (%)
65
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 198
58.2%
Common 142
41.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 17
 
8.6%
도 17
 
8.6%
양 17
 
8.6%
주 17
 
8.6%
시 17
 
8.6%
기 17
 
8.6%
로 13
 
6.6%
길 10
 
5.1%
면 8
 
4.0%
번 6
 
3.0%
Other values (24) 59
29.8%
Common
ValueCountFrequency (%)
65
45.8%
1 11
 
7.7%
3 9
 
6.3%
4 8
 
5.6%
6 8
 
5.6%
0 8
 
5.6%
5 8
 
5.6%
2 8
 
5.6%
8 5
 
3.5%
9 4
 
2.8%
Other values (2) 8
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 198
58.2%
ASCII 142
41.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
65
45.8%
1 11
 
7.7%
3 9
 
6.3%
4 8
 
5.6%
6 8
 
5.6%
0 8
 
5.6%
5 8
 
5.6%
2 8
 
5.6%
8 5
 
3.5%
9 4
 
2.8%
Other values (2) 8
 
5.6%
Hangul
ValueCountFrequency (%)
경 17
 
8.6%
도 17
 
8.6%
양 17
 
8.6%
주 17
 
8.6%
시 17
 
8.6%
기 17
 
8.6%
로 13
 
6.6%
길 10
 
5.1%
면 8
 
4.0%
번 6
 
3.0%
Other values (24) 59
29.8%

지번 주소
Text

Distinct43
Distinct (%)87.8%
Missing0
Missing (%)0.0%
Memory size524.0 B
2023-12-12T13:25:08.097090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length20
Mean length17.77551
Min length13

Characters and Unicode

Total characters871
Distinct characters52
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)77.6%

Sample

1st row경기 양주시 광적면 가납리 844
2nd row경기도 양주시 남면 신암리 산35-2
3rd row경기도 양주시 남면 신산리 280-3
4th row경기 양주시 남면 신산리 333-9
5th row경기 양주시 남면 신산리
ValueCountFrequency (%)
양주시 49
22.3%
경기도 45
20.5%
옥정동 9
 
4.1%
장흥면 8
 
3.6%
삼상리 8
 
3.6%
덕계동 6
 
2.7%
광사동 5
 
2.3%
남면 5
 
2.3%
광적면 4
 
1.8%
덕정동 4
 
1.8%
Other values (59) 77
35.0%
2023-12-12T13:25:08.428169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
171
19.6%
양 50
 
5.7%
경 49
 
5.6%
주 49
 
5.6%
시 49
 
5.6%
기 49
 
5.6%
도 45
 
5.2%
- 27
 
3.1%
동 27
 
3.1%
3 24
 
2.8%
Other values (42) 331
38.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 502
57.6%
Space Separator 171
 
19.6%
Decimal Number 171
 
19.6%
Dash Punctuation 27
 
3.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
양 50
 
10.0%
경 49
 
9.8%
주 49
 
9.8%
시 49
 
9.8%
기 49
 
9.8%
도 45
 
9.0%
동 27
 
5.4%
리 22
 
4.4%
면 20
 
4.0%
정 13
 
2.6%
Other values (30) 129
25.7%
Decimal Number
ValueCountFrequency (%)
3 24
14.0%
4 21
12.3%
1 21
12.3%
9 20
11.7%
6 17
9.9%
8 17
9.9%
5 16
9.4%
2 15
8.8%
0 11
6.4%
7 9
 
5.3%
Space Separator
ValueCountFrequency (%)
171
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 502
57.6%
Common 369
42.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
양 50
 
10.0%
경 49
 
9.8%
주 49
 
9.8%
시 49
 
9.8%
기 49
 
9.8%
도 45
 
9.0%
동 27
 
5.4%
리 22
 
4.4%
면 20
 
4.0%
정 13
 
2.6%
Other values (30) 129
25.7%
Common
ValueCountFrequency (%)
171
46.3%
- 27
 
7.3%
3 24
 
6.5%
4 21
 
5.7%
1 21
 
5.7%
9 20
 
5.4%
6 17
 
4.6%
8 17
 
4.6%
5 16
 
4.3%
2 15
 
4.1%
Other values (2) 20
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 502
57.6%
ASCII 369
42.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
171
46.3%
- 27
 
7.3%
3 24
 
6.5%
4 21
 
5.7%
1 21
 
5.7%
9 20
 
5.4%
6 17
 
4.6%
8 17
 
4.6%
5 16
 
4.3%
2 15
 
4.1%
Other values (2) 20
 
5.4%
Hangul
ValueCountFrequency (%)
양 50
 
10.0%
경 49
 
9.8%
주 49
 
9.8%
시 49
 
9.8%
기 49
 
9.8%
도 45
 
9.0%
동 27
 
5.4%
리 22
 
4.4%
면 20
 
4.0%
정 13
 
2.6%
Other values (30) 129
25.7%

형식
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size524.0 B
수세식
35 
자연발효식
12 
이동식
 
2

Length

Max length5
Median length3
Mean length3.4897959
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row수세식
2nd row자연발효식
3rd row수세식
4th row수세식
5th row자연발효식

Common Values

ValueCountFrequency (%)
수세식 35
71.4%
자연발효식 12
 
24.5%
이동식 2
 
4.1%

Length

2023-12-12T13:25:08.562737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:25:08.704206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수세식 35
71.4%
자연발효식 12
 
24.5%
이동식 2
 
4.1%

준공일
Date

Distinct38
Distinct (%)77.6%
Missing0
Missing (%)0.0%
Memory size524.0 B
Minimum1994-12-31 00:00:00
Maximum2019-02-01 00:00:00
2023-12-12T13:25:08.817829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:08.951284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)

냉방시설
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size524.0 B
<NA>
36 
2
12 
1
 
1

Length

Max length4
Median length4
Mean length3.2040816
Min length1

Unique

Unique1 ?
Unique (%)2.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 36
73.5%
2 12
 
24.5%
1 1
 
2.0%

Length

2023-12-12T13:25:09.089180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:25:09.188154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 36
73.5%
2 12
 
24.5%
1 1
 
2.0%

물비누
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)10.2%
Missing0
Missing (%)0.0%
Memory size524.0 B
2
27 
<NA>
12 
4
5 
3
4 
10
 
1

Length

Max length4
Median length1
Mean length1.755102
Min length1

Unique

Unique1 ?
Unique (%)2.0%

Sample

1st row2
2nd row<NA>
3rd row3
4th row4
5th row<NA>

Common Values

ValueCountFrequency (%)
2 27
55.1%
<NA> 12
24.5%
4 5
 
10.2%
3 4
 
8.2%
10 1
 
2.0%

Length

2023-12-12T13:25:09.297133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:25:09.400830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 27
55.1%
na 12
24.5%
4 5
 
10.2%
3 4
 
8.2%
10 1
 
2.0%

자동문
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)8.2%
Missing0
Missing (%)0.0%
Memory size524.0 B
<NA>
36 
2
9 
1
 
3
4
 
1

Length

Max length4
Median length4
Mean length3.2040816
Min length1

Unique

Unique1 ?
Unique (%)2.0%

Sample

1st row<NA>
2nd row<NA>
3rd row1
4th row1
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 36
73.5%
2 9
 
18.4%
1 3
 
6.1%
4 1
 
2.0%

Length

2023-12-12T13:25:09.516451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:25:09.613163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 36
73.5%
2 9
 
18.4%
1 3
 
6.1%
4 1
 
2.0%

기저귀교환대
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size524.0 B
<NA>
32 
1
10 
2
7 

Length

Max length4
Median length4
Mean length2.9591837
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row<NA>
3rd row<NA>
4th row1
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 32
65.3%
1 10
 
20.4%
2 7
 
14.3%

Length

2023-12-12T13:25:09.756023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:25:09.869857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 32
65.3%
1 10
 
20.4%
2 7
 
14.3%

어린이변기
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct5
Distinct (%)10.2%
Missing0
Missing (%)0.0%
Memory size524.0 B
<NA>
43 
4
 
2
2
 
2
1
 
1
3
 
1

Length

Max length4
Median length4
Mean length3.6326531
Min length1

Unique

Unique2 ?
Unique (%)4.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 43
87.8%
4 2
 
4.1%
2 2
 
4.1%
1 1
 
2.0%
3 1
 
2.0%

Length

2023-12-12T13:25:09.988961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:25:10.105350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 43
87.8%
4 2
 
4.1%
2 2
 
4.1%
1 1
 
2.0%
3 1
 
2.0%

안심벨
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size524.0 B
1
43 
0
6 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 43
87.8%
0 6
 
12.2%

Length

2023-12-12T13:25:10.214664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:25:10.306197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 43
87.8%
0 6
 
12.2%

장애인화장실
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size524.0 B
2
25 
0
16 
1
8 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row0
3rd row1
4th row1
5th row0

Common Values

ValueCountFrequency (%)
2 25
51.0%
0 16
32.7%
1 8
 
16.3%

Length

2023-12-12T13:25:10.565025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:25:10.691110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 25
51.0%
0 16
32.7%
1 8
 
16.3%

Interactions

2023-12-12T13:25:05.654331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:05.465234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:05.749177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:05.554770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T13:25:10.800175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번명 칭위 치면 적(㎡)도로명 주소지번 주소형식준공일냉방시설물비누자동문기저귀교환대어린이변기안심벨장애인화장실
연번1.0001.0000.8470.4881.0001.0000.6790.9470.0000.3340.6290.8071.0000.5910.620
명 칭1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
위 치0.8471.0001.0000.3831.0001.0000.9880.9790.3780.5960.6020.000NaN0.7940.919
면 적(㎡)0.4881.0000.3831.0000.8200.8550.7860.3160.0000.8770.7480.6140.9520.3040.876
도로명 주소1.0001.0001.0000.8201.0001.0000.4660.9780.0000.7061.0001.0001.0001.0000.882
지번 주소1.0001.0001.0000.8551.0001.0001.0000.9720.0000.5181.0001.0001.0001.0000.929
형식0.6791.0000.9880.7860.4661.0001.0000.8030.0000.000NaNNaNNaN0.3410.904
준공일0.9471.0000.9790.3160.9780.9720.8031.0001.0000.5621.0000.7061.0000.9080.974
냉방시설0.0001.0000.3780.0000.0000.0000.0001.0001.0000.000NaNNaNNaN0.0000.378
물비누0.3341.0000.5960.8770.7060.5180.0000.5620.0001.0000.5980.1410.0000.0000.421
자동문0.6291.0000.6020.7481.0001.000NaN1.000NaN0.5981.0000.0000.0000.0001.000
기저귀교환대0.8071.0000.0000.6141.0001.000NaN0.706NaN0.1410.0001.0000.0000.0000.000
어린이변기1.0001.000NaN0.9521.0001.000NaN1.000NaN0.0000.0000.0001.000NaNNaN
안심벨0.5911.0000.7940.3041.0001.0000.3410.9080.0000.0000.0000.000NaN1.0000.000
장애인화장실0.6201.0000.9190.8760.8820.9290.9040.9740.3780.4211.0000.000NaN0.0001.000
2023-12-12T13:25:10.962132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위 치어린이변기장애인화장실안심벨물비누형식자동문기저귀교환대냉방시설
위 치1.0001.0000.6350.5710.4100.8370.5730.0000.564
어린이변기1.0001.0001.0001.0000.0001.0001.0000.000NaN
장애인화장실0.6351.0001.0000.0000.4040.6220.9530.0000.564
안심벨0.5711.0000.0001.0000.0000.5400.0000.0000.000
물비누0.4100.0000.4040.0001.0000.0000.5680.2080.000
형식0.8371.0000.6220.5400.0001.0001.0001.0000.000
자동문0.5731.0000.9530.0000.5681.0001.0000.0001.000
기저귀교환대0.0000.0000.0000.0000.2081.0000.0001.0001.000
냉방시설0.564NaN0.5640.0000.0000.0001.0001.0001.000
2023-12-12T13:25:11.130248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번면 적(㎡)위 치형식냉방시설물비누자동문기저귀교환대어린이변기안심벨장애인화장실
연번1.0000.1340.6200.4360.0000.1860.3650.4691.0000.3630.370
면 적(㎡)0.1341.0000.1840.4550.0000.7190.4240.5270.6120.2740.558
위 치0.6200.1841.0000.8370.5640.4100.5730.0001.0000.5710.635
형식0.4360.4550.8371.0000.0000.0001.0001.0001.0000.5400.622
냉방시설0.0000.0000.5640.0001.0000.0001.0001.000NaN0.0000.564
물비누0.1860.7190.4100.0000.0001.0000.5680.2080.0000.0000.404
자동문0.3650.4240.5731.0001.0000.5681.0000.0001.0000.0000.953
기저귀교환대0.4690.5270.0001.0001.0000.2080.0001.0000.0000.0000.000
어린이변기1.0000.6121.0001.000NaN0.0001.0000.0001.0001.0001.000
안심벨0.3630.2740.5710.5400.0000.0000.0000.0001.0001.0000.000
장애인화장실0.3700.5580.6350.6220.5640.4040.9530.0001.0000.0001.000

Missing values

2023-12-12T13:25:05.887520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:25:06.118145image/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

연번명 칭위 치면 적(㎡)도로명 주소지번 주소형식준공일냉방시설물비누자동문기저귀교환대어린이변기안심벨장애인화장실
01가래비시장 공중화장실재래시장28.1경기도 양주시 광적면 가래비7길 5경기 양주시 광적면 가납리 844수세식2018-02-28<NA>2<NA>1<NA>11
12감악산등산로 공중화장실유원지12.5<NA>경기도 양주시 남면 신암리 산35-2자연발효식2005-11-07<NA><NA><NA><NA><NA>10
23신산시장 공중화장실재래시장25.0<NA>경기도 양주시 남면 신산리 280-3수세식2006-10-24<NA>31<NA><NA>11
34신산체육공원 공중화장실체육시설15.0경기도 양주시 남면 감악산로 244번길 189경기 양주시 남면 신산리 333-9수세식2005-12-31<NA>411<NA>11
45신산족구장 공중화장실체육시설3.3경기도 양주시 남면 감악산로 244번길 189경기 양주시 남면 신산리자연발효식2005-12-31<NA><NA><NA><NA><NA>10
56도락산 공중화장실유원지3.3<NA>경기도 양주시 은현면 용암리 산 60자연발효식1997-12-31<NA><NA><NA><NA><NA>10
67고암근린공원 공중화장실공원10.84경기도 양주시 고암길 200-20경기도 양주시 고암동 581-4수세식2007-09-05<NA>2<NA><NA><NA>10
78봉우근린공원 공중화장실공원93.54경기도 양주시 고암길 306-31경기도 양주시 덕정동 208-12수세식2016-08-31<NA>22<NA><NA>12
89덕정제3어린이공원 공중화장실공원35.0<NA>경기도 양주시 덕정동 536-1수세식2012-02-01<NA>2<NA><NA>112
910덕정시장 공중화장실재래시장50.5경기도 양주시 덕정4길 12경기 양주시 덕정동 133-36수세식2004-10-13<NA>31<NA><NA>11
연번명 칭위 치면 적(㎡)도로명 주소지번 주소형식준공일냉방시설물비누자동문기저귀교환대어린이변기안심벨장애인화장실
3940선돌공원 관리동공원113.4<NA>경기도 양주시 옥정동 908수세식2017-10-31<NA>422212
4041선돌공원 버스정류장공원36.0<NA>경기도 양주시 옥정동 909수세식2018-12-1322<NA>1<NA>12
4142옥정중앙공원 김삿갓공원33.01<NA>경기도 양주시 옥정동 1039수세식2018-02-0522<NA>1<NA>12
4243옥정중앙공원 아쿠아가든공원36.0<NA>경기도 양주시 옥정동 1039수세식2016-12-2922<NA>1<NA>12
4344옥정 생태숲공원공원60.0<NA>경기도 양주시 옥정동 883수세식2017-10-3122<NA>1<NA>12
4445옥정 능호이인상공원공원16.0<NA>경기도 양주시 옥정동 952-2수세식2017-12-1822<NA><NA><NA>12
4546고읍 나리근린공원공원27.45경기도 양주시 고읍동 광사로 131-66경기도 양주시 광사동 731수세식2014-07-0124<NA><NA><NA>12
4647고읍문화공원공원17.76<NA>경기도 양주시 광사동 697수세식2015-12-31<NA>2<NA><NA><NA>12
4748고읍 제2어린이공원공원10.35<NA>경기도 양주시 고읍동 444수세식2017-05-01<NA>222<NA>12
4849석우근린공원공원67.68경기도 양주시 광적면 광적로 95경기도 양주시 광적면 석우리 407수세식2018-08-01<NA>44<NA>312