Overview

Dataset statistics

Number of variables11
Number of observations25
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.4 KiB
Average record size in memory97.3 B

Variable types

Text3
Numeric4
Boolean3
Categorical1

Dataset

Description인천광역시 서구시설관리공단 다중이용시설 시설물 현황 정보로 시설물명, 근무자수, 측정공간 규모, 운영시간, 위도, 경도, 방역여부 등을 조회할 수 있다.
Author인천광역시서구시설관리공단
URLhttps://www.data.go.kr/data/15096386/fileData.do

Alerts

FCU설비 사용여부 has constant value ""Constant
공기정화 설비 도입여부 has constant value ""Constant
방역여부 has constant value ""Constant
인증시설부착정보 has constant value ""Constant
시설물명 has unique valuesUnique
측정공간시설규모 has unique valuesUnique

Reproduction

Analysis started2023-12-12 10:04:25.848657
Analysis finished2023-12-12 10:04:28.984679
Duration3.14 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설물명
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-12T19:04:29.181683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length6.36
Min length4

Characters and Unicode

Total characters159
Distinct characters65
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)100.0%

Sample

1st row사계절썰매장
2nd row검암도서관
3rd row석남도서관
4th row검단도서관
5th row심곡도서관
ValueCountFrequency (%)
사계절썰매장 1
 
4.0%
서구실내게이트볼장 1
 
4.0%
가좌노인문화센터 1
 
4.0%
검단노인복지관 1
 
4.0%
서구노인복지관 1
 
4.0%
공원관리 1
 
4.0%
환경사업 1
 
4.0%
직업재활시설 1
 
4.0%
보건소청사 1
 
4.0%
서구청2청사 1
 
4.0%
Other values (15) 15
60.0%
2023-12-12T19:04:29.650994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
관 11
 
6.9%
서 10
 
6.3%
청 10
 
6.3%
화 6
 
3.8%
문 6
 
3.8%
사 5
 
3.1%
구 5
 
3.1%
검 5
 
3.1%
도 5
 
3.1%
소 5
 
3.1%
Other values (55) 91
57.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 157
98.7%
Decimal Number 2
 
1.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 11
 
7.0%
서 10
 
6.4%
청 10
 
6.4%
화 6
 
3.8%
문 6
 
3.8%
사 5
 
3.2%
구 5
 
3.2%
검 5
 
3.2%
도 5
 
3.2%
소 5
 
3.2%
Other values (53) 89
56.7%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
1 1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 157
98.7%
Common 2
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 11
 
7.0%
서 10
 
6.4%
청 10
 
6.4%
화 6
 
3.8%
문 6
 
3.8%
사 5
 
3.2%
구 5
 
3.2%
검 5
 
3.2%
도 5
 
3.2%
소 5
 
3.2%
Other values (53) 89
56.7%
Common
ValueCountFrequency (%)
2 1
50.0%
1 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 157
98.7%
ASCII 2
 
1.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
관 11
 
7.0%
서 10
 
6.4%
청 10
 
6.4%
화 6
 
3.8%
문 6
 
3.8%
사 5
 
3.2%
구 5
 
3.2%
검 5
 
3.2%
도 5
 
3.2%
소 5
 
3.2%
Other values (53) 89
56.7%
ASCII
ValueCountFrequency (%)
2 1
50.0%
1 1
50.0%

근무자수
Real number (ℝ)

Distinct17
Distinct (%)68.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.2
Minimum1
Maximum44
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-12T19:04:29.846937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.2
Q16
median9
Q322
95-th percentile34.2
Maximum44
Range43
Interquartile range (IQR)16

Descriptive statistics

Standard deviation11.800424
Coefficient of variation (CV)0.89397149
Kurtosis0.54425243
Mean13.2
Median Absolute Deviation (MAD)5
Skewness1.2170645
Sum330
Variance139.25
MonotonicityNot monotonic
2023-12-12T19:04:30.011061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
9 4
16.0%
8 3
12.0%
7 2
 
8.0%
4 2
 
8.0%
1 2
 
8.0%
3 1
 
4.0%
31 1
 
4.0%
22 1
 
4.0%
6 1
 
4.0%
29 1
 
4.0%
Other values (7) 7
28.0%
ValueCountFrequency (%)
1 2
8.0%
2 1
 
4.0%
3 1
 
4.0%
4 2
8.0%
6 1
 
4.0%
7 2
8.0%
8 3
12.0%
9 4
16.0%
10 1
 
4.0%
14 1
 
4.0%
ValueCountFrequency (%)
44 1
 
4.0%
35 1
 
4.0%
31 1
 
4.0%
29 1
 
4.0%
27 1
 
4.0%
23 1
 
4.0%
22 1
 
4.0%
14 1
 
4.0%
10 1
 
4.0%
9 4
16.0%

방문자수
Text

Distinct22
Distinct (%)88.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-12T19:04:30.224379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length3.64
Min length1

Characters and Unicode

Total characters91
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)80.0%

Sample

1st row500
2nd row1,700
3rd row1,033
4th row1,321
5th row500
ValueCountFrequency (%)
500 3
 
12.0%
3,000 2
 
8.0%
300 1
 
4.0%
693 1
 
4.0%
1,000 1
 
4.0%
161,454 1
 
4.0%
3 1
 
4.0%
0 1
 
4.0%
400 1
 
4.0%
301 1
 
4.0%
Other values (12) 12
48.0%
2023-12-12T19:04:30.631270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 33
36.3%
3 15
16.5%
1 10
 
11.0%
, 9
 
9.9%
5 7
 
7.7%
4 5
 
5.5%
2 4
 
4.4%
6 3
 
3.3%
7 2
 
2.2%
9 2
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 82
90.1%
Other Punctuation 9
 
9.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 33
40.2%
3 15
18.3%
1 10
 
12.2%
5 7
 
8.5%
4 5
 
6.1%
2 4
 
4.9%
6 3
 
3.7%
7 2
 
2.4%
9 2
 
2.4%
8 1
 
1.2%
Other Punctuation
ValueCountFrequency (%)
, 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 91
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 33
36.3%
3 15
16.5%
1 10
 
11.0%
, 9
 
9.9%
5 7
 
7.7%
4 5
 
5.5%
2 4
 
4.4%
6 3
 
3.3%
7 2
 
2.2%
9 2
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 91
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 33
36.3%
3 15
16.5%
1 10
 
11.0%
, 9
 
9.9%
5 7
 
7.7%
4 5
 
5.5%
2 4
 
4.4%
6 3
 
3.3%
7 2
 
2.2%
9 2
 
2.2%

측정공간시설규모
Real number (ℝ)

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43668.162
Minimum274.24
Maximum1005965
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-12T19:04:30.763592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum274.24
5-th percentile492.884
Q11347.68
median2505.938
Q34808
95-th percentile17879.238
Maximum1005965
Range1005690.8
Interquartile range (IQR)3460.32

Descriptive statistics

Standard deviation200520.54
Coefficient of variation (CV)4.5919161
Kurtosis24.976292
Mean43668.162
Median Absolute Deviation (MAD)1283.178
Skewness4.9966099
Sum1091704.1
Variance4.0208485 × 1010
MonotonicityNot monotonic
2023-12-12T19:04:30.891751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
1185.87 1
 
4.0%
681.02 1
 
4.0%
2505.938 1
 
4.0%
1448.31 1
 
4.0%
2674.23 1
 
4.0%
4808.0 1
 
4.0%
1005965.0 1
 
4.0%
274.24 1
 
4.0%
2975.95 1
 
4.0%
3410.411 1
 
4.0%
Other values (15) 15
60.0%
ValueCountFrequency (%)
274.24 1
4.0%
445.85 1
4.0%
681.02 1
4.0%
1185.87 1
4.0%
1222.76 1
4.0%
1286.96 1
4.0%
1347.68 1
4.0%
1378.0 1
4.0%
1448.31 1
4.0%
1665.28 1
4.0%
ValueCountFrequency (%)
1005965.0 1
4.0%
20271.87 1
4.0%
8308.71 1
4.0%
8181.31 1
4.0%
5505.93 1
4.0%
5402.74 1
4.0%
4808.0 1
4.0%
4301.62 1
4.0%
3410.411 1
4.0%
2977.74 1
4.0%

FCU설비 사용여부
Boolean

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size157.0 B
True
25 
ValueCountFrequency (%)
True 25
100.0%
2023-12-12T19:04:31.042902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

공기정화 설비 도입여부
Boolean

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size157.0 B
True
25 
ValueCountFrequency (%)
True 25
100.0%
2023-12-12T19:04:31.131487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

운영시간
Text

Distinct19
Distinct (%)76.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-12T19:04:31.318267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length163
Median length108
Mean length64.92
Min length14

Characters and Unicode

Total characters1623
Distinct characters115
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

Unique16 ?
Unique (%)64.0%

Sample

1st row여름(7~8월) - 10:00~18:00, 겨울(12~2월) - 10:00~17:00
2nd row꿈자람터 - 평일 09:00~20:00, 주말 09:00~18:00, 열람터/정보나눔터 - 평일 09:00~22:00, 주말 09:00~18:00, 자유열람실 - 평일/주말 06:00~22:00, 스마트도서관 - 연중무휴
3rd row꿈자람터 - 평일 09:00~20:00, 주말 09:00~18:00, 열람터 - 평일 09:00~22:00, 주말 09:00~18:00, 정보나눔터 - 평일 09:00~18:00, 주말 09:00~18:00, 자유열람실 - 평일/주말 06:00~22:00
4th row꿈자람터 - 평일 09:00~20:00, 주말 09:00~18:00, 열람터/정보나눔터 - 평일 09:00~22:00, 주말 09:00~18:00, 자유열람실 - 평일/주말 06:00~22:00
5th row꿈터/자람터/열람터/정보나눔터/ABC놀이터 - 평일 09:00~22:00, 주말 09:00~18:00
ValueCountFrequency (%)
45
18.7%
평일 40
16.6%
09:00~18:00 22
 
9.1%
주말 17
 
7.1%
06:00~22:00 9
 
3.7%
09:00~22:00 8
 
3.3%
09:00~20:00 7
 
2.9%
주말(토 5
 
2.1%
연중무휴 3
 
1.2%
수시 3
 
1.2%
Other values (59) 82
34.0%
2023-12-12T19:04:31.665452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 379
23.4%
216
13.3%
: 153
 
9.4%
~ 80
 
4.9%
1 69
 
4.3%
2 54
 
3.3%
, 53
 
3.3%
평 47
 
2.9%
9 46
 
2.8%
일 45
 
2.8%
Other values (105) 481
29.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 621
38.3%
Other Letter 416
25.6%
Other Punctuation 225
 
13.9%
Space Separator 216
 
13.3%
Math Symbol 80
 
4.9%
Dash Punctuation 44
 
2.7%
Open Punctuation 9
 
0.6%
Close Punctuation 9
 
0.6%
Uppercase Letter 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
평 47
 
11.3%
일 45
 
10.8%
주 26
 
6.2%
말 25
 
6.0%
터 18
 
4.3%
람 13
 
3.1%
장 12
 
2.9%
자 10
 
2.4%
실 9
 
2.2%
열 8
 
1.9%
Other values (85) 203
48.8%
Decimal Number
ValueCountFrequency (%)
0 379
61.0%
1 69
 
11.1%
2 54
 
8.7%
9 46
 
7.4%
8 30
 
4.8%
6 20
 
3.2%
7 11
 
1.8%
3 9
 
1.4%
4 3
 
0.5%
Other Punctuation
ValueCountFrequency (%)
: 153
68.0%
, 53
 
23.6%
/ 19
 
8.4%
Uppercase Letter
ValueCountFrequency (%)
C 1
33.3%
B 1
33.3%
A 1
33.3%
Space Separator
ValueCountFrequency (%)
216
100.0%
Math Symbol
ValueCountFrequency (%)
~ 80
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 44
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1204
74.2%
Hangul 416
 
25.6%
Latin 3
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
평 47
 
11.3%
일 45
 
10.8%
주 26
 
6.2%
말 25
 
6.0%
터 18
 
4.3%
람 13
 
3.1%
장 12
 
2.9%
자 10
 
2.4%
실 9
 
2.2%
열 8
 
1.9%
Other values (85) 203
48.8%
Common
ValueCountFrequency (%)
0 379
31.5%
216
17.9%
: 153
12.7%
~ 80
 
6.6%
1 69
 
5.7%
2 54
 
4.5%
, 53
 
4.4%
9 46
 
3.8%
- 44
 
3.7%
8 30
 
2.5%
Other values (7) 80
 
6.6%
Latin
ValueCountFrequency (%)
C 1
33.3%
B 1
33.3%
A 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1207
74.4%
Hangul 416
 
25.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 379
31.4%
216
17.9%
: 153
12.7%
~ 80
 
6.6%
1 69
 
5.7%
2 54
 
4.5%
, 53
 
4.4%
9 46
 
3.8%
- 44
 
3.6%
8 30
 
2.5%
Other values (10) 83
 
6.9%
Hangul
ValueCountFrequency (%)
평 47
 
11.3%
일 45
 
10.8%
주 26
 
6.2%
말 25
 
6.0%
터 18
 
4.3%
람 13
 
3.1%
장 12
 
2.9%
자 10
 
2.4%
실 9
 
2.2%
열 8
 
1.9%
Other values (85) 203
48.8%

위도
Real number (ℝ)

Distinct20
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.55276
Minimum37.488
Maximum37.725
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-12T19:04:31.794253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.488
5-th percentile37.499
Q137.518
median37.546
Q337.567
95-th percentile37.603
Maximum37.725
Range0.237
Interquartile range (IQR)0.049

Descriptive statistics

Standard deviation0.04942442
Coefficient of variation (CV)0.0013161328
Kurtosis5.0850574
Mean37.55276
Median Absolute Deviation (MAD)0.028
Skewness1.8100499
Sum938.819
Variance0.0024427733
MonotonicityNot monotonic
2023-12-12T19:04:31.912332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
37.546 3
 
12.0%
37.512 2
 
8.0%
37.603 2
 
8.0%
37.545 2
 
8.0%
37.548 1
 
4.0%
37.518 1
 
4.0%
37.496 1
 
4.0%
37.511 1
 
4.0%
37.547 1
 
4.0%
37.515 1
 
4.0%
Other values (10) 10
40.0%
ValueCountFrequency (%)
37.488 1
4.0%
37.496 1
4.0%
37.511 1
4.0%
37.512 2
8.0%
37.515 1
4.0%
37.518 1
4.0%
37.519 1
4.0%
37.525 1
4.0%
37.543 1
4.0%
37.545 2
8.0%
ValueCountFrequency (%)
37.725 1
 
4.0%
37.603 2
8.0%
37.601 1
 
4.0%
37.6 1
 
4.0%
37.592 1
 
4.0%
37.567 1
 
4.0%
37.566 1
 
4.0%
37.548 1
 
4.0%
37.547 1
 
4.0%
37.546 3
12.0%

경도
Real number (ℝ)

Distinct18
Distinct (%)72.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.67204
Minimum126.623
Maximum126.722
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-12T19:04:32.106294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.623
5-th percentile126.6384
Q1126.666
median126.674
Q3126.679
95-th percentile126.6896
Maximum126.722
Range0.099
Interquartile range (IQR)0.013

Descriptive statistics

Standard deviation0.018051962
Coefficient of variation (CV)0.00014250944
Kurtosis3.8301474
Mean126.67204
Median Absolute Deviation (MAD)0.006
Skewness-0.33098664
Sum3166.801
Variance0.00032587333
MonotonicityNot monotonic
2023-12-12T19:04:32.249281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
126.676 3
 
12.0%
126.678 2
 
8.0%
126.666 2
 
8.0%
126.673 2
 
8.0%
126.668 2
 
8.0%
126.679 2
 
8.0%
126.684 1
 
4.0%
126.623 1
 
4.0%
126.672 1
 
4.0%
126.691 1
 
4.0%
Other values (8) 8
32.0%
ValueCountFrequency (%)
126.623 1
4.0%
126.634 1
4.0%
126.656 1
4.0%
126.661 1
4.0%
126.664 1
4.0%
126.666 2
8.0%
126.668 2
8.0%
126.672 1
4.0%
126.673 2
8.0%
126.674 1
4.0%
ValueCountFrequency (%)
126.722 1
 
4.0%
126.691 1
 
4.0%
126.684 1
 
4.0%
126.683 1
 
4.0%
126.681 1
 
4.0%
126.679 2
8.0%
126.678 2
8.0%
126.676 3
12.0%
126.674 1
 
4.0%
126.673 2
8.0%

방역여부
Boolean

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size157.0 B
True
25 
ValueCountFrequency (%)
True 25
100.0%
2023-12-12T19:04:32.380612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

인증시설부착정보
Categorical

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
진행중
25 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
진행중 25
100.0%

Length

2023-12-12T19:04:32.549361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:04:32.656792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
진행중 25
100.0%

Interactions

2023-12-12T19:04:28.137991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:04:26.235623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:04:26.763865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:04:27.359805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:04:28.252370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:04:26.324464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:04:26.966384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:04:27.463666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:04:28.397923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:04:26.466417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:04:27.111461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:04:27.572016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:04:28.528394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:04:26.601489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:04:27.249282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:04:27.676595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T19:04:32.722763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설물명근무자수방문자수측정공간시설규모운영시간위도경도
시설물명1.0001.0001.0001.0001.0001.0001.000
근무자수1.0001.0000.9860.0000.9130.5450.469
방문자수1.0000.9861.0001.0000.7280.8380.864
측정공간시설규모1.0000.0001.0001.0001.0000.0000.000
운영시간1.0000.9130.7281.0001.0000.7910.823
위도1.0000.5450.8380.0000.7911.0000.683
경도1.0000.4690.8640.0000.8230.6831.000
2023-12-12T19:04:32.840797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
근무자수측정공간시설규모위도경도
근무자수1.0000.302-0.091-0.289
측정공간시설규모0.3021.0000.083-0.288
위도-0.0910.0831.000-0.201
경도-0.289-0.288-0.2011.000

Missing values

2023-12-12T19:04:28.673182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:04:28.889514image/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

시설물명근무자수방문자수측정공간시설규모FCU설비 사용여부공기정화 설비 도입여부운영시간위도경도방역여부인증시설부착정보
0사계절썰매장35001185.87YY여름(7~8월) - 10:00~18:00, 겨울(12~2월) - 10:00~17:0037.548126.684Y진행중
1검암도서관141,700681.02YY꿈자람터 - 평일 09:00~20:00, 주말 09:00~18:00, 열람터/정보나눔터 - 평일 09:00~22:00, 주말 09:00~18:00, 자유열람실 - 평일/주말 06:00~22:00, 스마트도서관 - 연중무휴37.567126.683Y진행중
2석남도서관81,033445.85YY꿈자람터 - 평일 09:00~20:00, 주말 09:00~18:00, 열람터 - 평일 09:00~22:00, 주말 09:00~18:00, 정보나눔터 - 평일 09:00~18:00, 주말 09:00~18:00, 자유열람실 - 평일/주말 06:00~22:0037.512126.678Y진행중
3검단도서관81,3211665.28YY꿈자람터 - 평일 09:00~20:00, 주말 09:00~18:00, 열람터/정보나눔터 - 평일 09:00~22:00, 주말 09:00~18:00, 자유열람실 - 평일/주말 06:00~22:0037.601126.666Y진행중
4심곡도서관85001347.68YY꿈터/자람터/열람터/정보나눔터/ABC놀이터 - 평일 09:00~22:00, 주말 09:00~18:0037.543126.673Y진행중
5신석도서관95081668.735YY꿈터/자람터 - 평일 09:00~20:00, 주말 09:00~18:00, 열람터/정보나눔터 - 평일 09:00~22:00, 주말 09:00~18:0037.512126.668Y진행중
6서구청소년수련관443,1355505.93YY수련시설 - 평일 10:00~20:00, 주말 10:00~18:00, 수영장 - 평일 : 06:00~21:00, 주말 06:00~17:00, 공연장 - 수시 09:00~22:0037.519126.668Y진행중
7가좌청소년문화의집103041222.76YY평일 09:00~20:00, 주말 09:00~18:0037.488126.679Y진행중
8검단청소년문화의집72051286.96YY평일 09:00~20:00, 주말 09:00~18:0037.603126.656Y진행중
9연희청소년문화의집72131809.9YY평일 09:00~20:00, 주말 09:00~18:0037.546126.673Y진행중
시설물명근무자수방문자수측정공간시설규모FCU설비 사용여부공기정화 설비 도입여부운영시간위도경도방역여부인증시설부착정보
15서구청1청사313,00020271.87YY평일 09:00~18:0037.545126.676Y진행중
16서구청2청사23018308.71YY평일 09:00~18:0037.546126.676Y진행중
17보건소청사44003410.411YY평일 09:00~18:0037.545126.674Y진행중
18직업재활시설2902975.95YY장애인근로사업장 - 평일 09:00~18:00, 직업활동 프로그램 - 평일 09:00~16:0037.592126.623Y진행중
19환경사업43274.24YY평일 09:00~12:00, 13:00~18:0037.515126.679Y진행중
20공원관리6161,4541005965.0YY공원 - 연중무휴 24시간, 축구장 - 동절기(11~2월) 09:00~17:00, 하절기(3~10월) 09:00~18:00, 테니스장 - 연중무휴 09:00~22:0037.547126.681Y진행중
21서구노인복지관221,0004808.0YY평생교육 - 평일 09:00~17:00, 경로식당 - 평일 11:00~13:00, 주간보호실 - 평일09:00~16:00, 물리치료실 - 평일 09:00~16:30, 체력단련실 - 평일 09:00~18:00, 바둑장기실 - 평일 09:00~18:00, 토요개방 - 토요일 08:00~13:0037.511126.676Y진행중
22검단노인복지관95002674.23YY평생교육/자율프로그램 - 평일 10:00~17:00, 경로식당 - 평일 11:40~12:40, 건강증진실 - 평일 10:00~17:0037.603126.661Y진행중
23가좌노인문화센터96931448.31YY평생교육/자율프로그램 - 평일 10:00~17:30, 경로식당 - 평일 11:30~13:00, 물리치료실 - 평일 09:30~16:0037.496126.691Y진행중
24연희노인문화센터97002505.938YY평일 09:00~18:0037.546126.672Y진행중