Overview

Dataset statistics

Number of variables6
Number of observations97
Missing cells3
Missing cells (%)0.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.8 KiB
Average record size in memory50.4 B

Variable types

Numeric1
Categorical1
Text4

Dataset

DescriptionN/A
Author인천광역시서구시설관리공단
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15126929&srcSe=7661IVAWM27C61E190

Alerts

연번 is highly overall correlated with 사업장명High correlation
사업장명 is highly overall correlated with 연번High correlation
개선기간 has 2 (2.1%) missing valuesMissing
개선내용 has 1 (1.0%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2024-03-14 09:26:28.827938
Analysis finished2024-03-14 09:26:42.198004
Duration13.37 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct97
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean49
Minimum1
Maximum97
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1005.0 B
2024-03-14T18:26:42.374207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.8
Q125
median49
Q373
95-th percentile92.2
Maximum97
Range96
Interquartile range (IQR)48

Descriptive statistics

Standard deviation28.145456
Coefficient of variation (CV)0.57439705
Kurtosis-1.2
Mean49
Median Absolute Deviation (MAD)24
Skewness0
Sum4753
Variance792.16667
MonotonicityStrictly increasing
2024-03-14T18:26:42.661662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.0%
74 1
 
1.0%
72 1
 
1.0%
71 1
 
1.0%
70 1
 
1.0%
69 1
 
1.0%
68 1
 
1.0%
67 1
 
1.0%
66 1
 
1.0%
65 1
 
1.0%
Other values (87) 87
89.7%
ValueCountFrequency (%)
1 1
1.0%
2 1
1.0%
3 1
1.0%
4 1
1.0%
5 1
1.0%
6 1
1.0%
7 1
1.0%
8 1
1.0%
9 1
1.0%
10 1
1.0%
ValueCountFrequency (%)
97 1
1.0%
96 1
1.0%
95 1
1.0%
94 1
1.0%
93 1
1.0%
92 1
1.0%
91 1
1.0%
90 1
1.0%
89 1
1.0%
88 1
1.0%

사업장명
Categorical

HIGH CORRELATION 

Distinct24
Distinct (%)24.7%
Missing0
Missing (%)0.0%
Memory size908.0 B
주차사업부
7 
검단노인복지관
 
6
연희노인문화센터
 
5
검단복지회관
 
5
청사관리
 
5
Other values (19)
69 

Length

Max length8
Median length7
Mean length6.1649485
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row서구청소년센터
2nd row서구청소년센터
3rd row가좌청소년센터
4th row가좌청소년센터
5th row가좌청소년센터

Common Values

ValueCountFrequency (%)
주차사업부 7
 
7.2%
검단노인복지관 6
 
6.2%
연희노인문화센터 5
 
5.2%
검단복지회관 5
 
5.2%
청사관리 5
 
5.2%
원당문화체육센터 5
 
5.2%
청라문화센터 5
 
5.2%
검암도서관 5
 
5.2%
재활사업부 5
 
5.2%
게이트볼장 4
 
4.1%
Other values (14) 45
46.4%

Length

2024-03-14T18:26:42.982203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
주차사업부 7
 
7.2%
검단노인복지관 6
 
6.2%
연희노인문화센터 5
 
5.2%
검단복지회관 5
 
5.2%
청사관리 5
 
5.2%
원당문화체육센터 5
 
5.2%
청라문화센터 5
 
5.2%
검암도서관 5
 
5.2%
재활사업부 5
 
5.2%
서구노인복지관 4
 
4.1%
Other values (14) 45
46.4%

개선명
Text

Distinct96
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size908.0 B
2024-03-14T18:26:43.420260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length20
Mean length14.298969
Min length5

Characters and Unicode

Total characters1387
Distinct characters241
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique95 ?
Unique (%)97.9%

Sample

1st row지하1층 환경개선공사
2nd row수영장 샤워실 및 화장실 환경개선 공사
3rd row야외무대 바닥 개선공사
4th row냉난방기 종합세척
5th row전기설비 정비
ValueCountFrequency (%)
공사 13
 
3.8%
정비 12
 
3.5%
교체 12
 
3.5%
및 12
 
3.5%
설치 11
 
3.2%
환경개선 9
 
2.6%
환경개선공사 8
 
2.3%
냉난방기 6
 
1.7%
보수 5
 
1.5%
설치공사 5
 
1.5%
Other values (189) 250
72.9%
2024-03-14T18:26:44.202812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
247
 
17.8%
사 51
 
3.7%
공 50
 
3.6%
장 33
 
2.4%
설 32
 
2.3%
실 27
 
1.9%
개 26
 
1.9%
체 24
 
1.7%
선 24
 
1.7%
기 22
 
1.6%
Other values (231) 851
61.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1087
78.4%
Space Separator 247
 
17.8%
Decimal Number 22
 
1.6%
Uppercase Letter 13
 
0.9%
Other Punctuation 10
 
0.7%
Close Punctuation 4
 
0.3%
Open Punctuation 4
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 51
 
4.7%
공 50
 
4.6%
장 33
 
3.0%
설 32
 
2.9%
실 27
 
2.5%
개 26
 
2.4%
체 24
 
2.2%
선 24
 
2.2%
기 22
 
2.0%
경 21
 
1.9%
Other values (213) 777
71.5%
Uppercase Letter
ValueCountFrequency (%)
E 2
15.4%
P 2
15.4%
H 2
15.4%
C 2
15.4%
D 1
7.7%
L 1
7.7%
G 1
7.7%
V 1
7.7%
T 1
7.7%
Decimal Number
ValueCountFrequency (%)
1 11
50.0%
2 7
31.8%
3 3
 
13.6%
6 1
 
4.5%
Other Punctuation
ValueCountFrequency (%)
, 8
80.0%
· 2
 
20.0%
Space Separator
ValueCountFrequency (%)
247
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1087
78.4%
Common 287
 
20.7%
Latin 13
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 51
 
4.7%
공 50
 
4.6%
장 33
 
3.0%
설 32
 
2.9%
실 27
 
2.5%
개 26
 
2.4%
체 24
 
2.2%
선 24
 
2.2%
기 22
 
2.0%
경 21
 
1.9%
Other values (213) 777
71.5%
Common
ValueCountFrequency (%)
247
86.1%
1 11
 
3.8%
, 8
 
2.8%
2 7
 
2.4%
) 4
 
1.4%
( 4
 
1.4%
3 3
 
1.0%
· 2
 
0.7%
6 1
 
0.3%
Latin
ValueCountFrequency (%)
E 2
15.4%
P 2
15.4%
H 2
15.4%
C 2
15.4%
D 1
7.7%
L 1
7.7%
G 1
7.7%
V 1
7.7%
T 1
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1087
78.4%
ASCII 298
 
21.5%
None 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
247
82.9%
1 11
 
3.7%
, 8
 
2.7%
2 7
 
2.3%
) 4
 
1.3%
( 4
 
1.3%
3 3
 
1.0%
E 2
 
0.7%
P 2
 
0.7%
H 2
 
0.7%
Other values (7) 8
 
2.7%
Hangul
ValueCountFrequency (%)
사 51
 
4.7%
공 50
 
4.6%
장 33
 
3.0%
설 32
 
2.9%
실 27
 
2.5%
개 26
 
2.4%
체 24
 
2.2%
선 24
 
2.2%
기 22
 
2.0%
경 21
 
1.9%
Other values (213) 777
71.5%
None
ValueCountFrequency (%)
· 2
100.0%

개선기간
Text

MISSING 

Distinct85
Distinct (%)89.5%
Missing2
Missing (%)2.1%
Memory size908.0 B
2024-03-14T18:26:44.494453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length28
Mean length21.094737
Min length10

Characters and Unicode

Total characters2004
Distinct characters20
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique76 ?
Unique (%)80.0%

Sample

1st row2023-02-26~2023-03-09(12일간)
2nd row2023-05-13~2023-05-15(3일간)
3rd row2023-03-22~2023-03-25(4일간)
4th row2023-05-09(1일간)
5th row2023-10-30~2023-10-31(2일간)
ValueCountFrequency (%)
2023-10-30~2023-10-31(2일간 3
 
3.1%
2023-09-25(1일간 2
 
2.0%
2023-07-31~2023-08-01(2일간 2
 
2.0%
2023-03-14(1일간 2
 
2.0%
2023-04-07(1일간 2
 
2.0%
2023-05-09(1일간 2
 
2.0%
2023-05-31~2023-06-02(3일간 2
 
2.0%
2023-11-17(1일간 2
 
2.0%
2023-05-18(1일간 2
 
2.0%
2023-08-01~2023-11-30(122일간 1
 
1.0%
Other values (78) 78
79.6%
2024-03-14T18:26:45.050697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 402
20.1%
0 334
16.7%
- 298
14.9%
3 215
10.7%
1 177
8.8%
( 88
 
4.4%
) 88
 
4.4%
일 86
 
4.3%
간 86
 
4.3%
~ 52
 
2.6%
Other values (10) 178
8.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1296
64.7%
Dash Punctuation 298
 
14.9%
Other Letter 176
 
8.8%
Open Punctuation 88
 
4.4%
Close Punctuation 88
 
4.4%
Math Symbol 52
 
2.6%
Other Punctuation 3
 
0.1%
Space Separator 3
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 402
31.0%
0 334
25.8%
3 215
16.6%
1 177
13.7%
5 35
 
2.7%
4 30
 
2.3%
8 28
 
2.2%
6 28
 
2.2%
7 27
 
2.1%
9 20
 
1.5%
Other Letter
ValueCountFrequency (%)
일 86
48.9%
간 86
48.9%
청 2
 
1.1%
사 2
 
1.1%
Dash Punctuation
ValueCountFrequency (%)
- 298
100.0%
Open Punctuation
ValueCountFrequency (%)
( 88
100.0%
Close Punctuation
ValueCountFrequency (%)
) 88
100.0%
Math Symbol
ValueCountFrequency (%)
~ 52
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1828
91.2%
Hangul 176
 
8.8%

Most frequent character per script

Common
ValueCountFrequency (%)
2 402
22.0%
0 334
18.3%
- 298
16.3%
3 215
11.8%
1 177
9.7%
( 88
 
4.8%
) 88
 
4.8%
~ 52
 
2.8%
5 35
 
1.9%
4 30
 
1.6%
Other values (6) 109
 
6.0%
Hangul
ValueCountFrequency (%)
일 86
48.9%
간 86
48.9%
청 2
 
1.1%
사 2
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1828
91.2%
Hangul 176
 
8.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 402
22.0%
0 334
18.3%
- 298
16.3%
3 215
11.8%
1 177
9.7%
( 88
 
4.8%
) 88
 
4.8%
~ 52
 
2.8%
5 35
 
1.9%
4 30
 
1.6%
Other values (6) 109
 
6.0%
Hangul
ValueCountFrequency (%)
일 86
48.9%
간 86
48.9%
청 2
 
1.1%
사 2
 
1.1%

개선내용
Text

MISSING 

Distinct95
Distinct (%)99.0%
Missing1
Missing (%)1.0%
Memory size908.0 B
2024-03-14T18:26:45.401307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length201
Median length71
Mean length37.71875
Min length8

Characters and Unicode

Total characters3621
Distinct characters388
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique94 ?
Unique (%)97.9%

Sample

1st row자동문 설치 : 1SET, 바닥타일교체 : 125㎡
2nd row자기질 타일 : 16㎡, 거울 시공 : 10EA
3rd row목재데크 설치 : 31㎡, 목재데크 도색 : 31㎡
4th row실내기 정밀분해 세척 : 58대
5th row1층 플레이존 노래방 영상 음향차단장치 설치 : 1개소, 방재실 야외조명 전자식 타이머 교체 : 5개, 전기실 AISS컨트롤러 교체 : 1대
ValueCountFrequency (%)
63
 
6.9%
설치 44
 
4.8%
교체 32
 
3.5%
및 25
 
2.7%
바닥 10
 
1.1%
보수 7
 
0.8%
등 7
 
0.8%
3층 7
 
0.8%
철거 7
 
0.8%
정비 6
 
0.7%
Other values (524) 710
77.3%
2024-03-14T18:26:46.118426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
822
 
22.7%
, 138
 
3.8%
1 67
 
1.9%
: 62
 
1.7%
치 54
 
1.5%
설 52
 
1.4%
장 51
 
1.4%
기 47
 
1.3%
체 46
 
1.3%
교 45
 
1.2%
Other values (378) 2237
61.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2108
58.2%
Space Separator 822
 
22.7%
Decimal Number 270
 
7.5%
Other Punctuation 217
 
6.0%
Uppercase Letter 110
 
3.0%
Lowercase Letter 28
 
0.8%
Close Punctuation 18
 
0.5%
Open Punctuation 18
 
0.5%
Other Symbol 16
 
0.4%
Math Symbol 13
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
치 54
 
2.6%
설 52
 
2.5%
장 51
 
2.4%
기 47
 
2.2%
체 46
 
2.2%
교 45
 
2.1%
수 43
 
2.0%
개 39
 
1.9%
실 36
 
1.7%
화 33
 
1.6%
Other values (327) 1662
78.8%
Uppercase Letter
ValueCountFrequency (%)
A 31
28.2%
E 29
26.4%
C 9
 
8.2%
T 6
 
5.5%
S 6
 
5.5%
P 5
 
4.5%
V 4
 
3.6%
L 3
 
2.7%
H 3
 
2.7%
B 2
 
1.8%
Other values (10) 12
 
10.9%
Decimal Number
ValueCountFrequency (%)
1 67
24.8%
2 42
15.6%
0 37
13.7%
3 32
11.9%
5 27
10.0%
4 21
 
7.8%
7 14
 
5.2%
6 14
 
5.2%
8 13
 
4.8%
9 3
 
1.1%
Lowercase Letter
ValueCountFrequency (%)
m 12
42.9%
a 5
17.9%
t 3
 
10.7%
w 3
 
10.7%
y 2
 
7.1%
s 2
 
7.1%
k 1
 
3.6%
Other Punctuation
ValueCountFrequency (%)
, 138
63.6%
: 62
28.6%
. 7
 
3.2%
/ 6
 
2.8%
* 3
 
1.4%
· 1
 
0.5%
Math Symbol
ValueCountFrequency (%)
× 10
76.9%
→ 2
 
15.4%
~ 1
 
7.7%
Space Separator
ValueCountFrequency (%)
822
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 16
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2108
58.2%
Common 1375
38.0%
Latin 138
 
3.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
치 54
 
2.6%
설 52
 
2.5%
장 51
 
2.4%
기 47
 
2.2%
체 46
 
2.2%
교 45
 
2.1%
수 43
 
2.0%
개 39
 
1.9%
실 36
 
1.7%
화 33
 
1.6%
Other values (327) 1662
78.8%
Latin
ValueCountFrequency (%)
A 31
22.5%
E 29
21.0%
m 12
 
8.7%
C 9
 
6.5%
T 6
 
4.3%
S 6
 
4.3%
P 5
 
3.6%
a 5
 
3.6%
V 4
 
2.9%
t 3
 
2.2%
Other values (17) 28
20.3%
Common
ValueCountFrequency (%)
822
59.8%
, 138
 
10.0%
1 67
 
4.9%
: 62
 
4.5%
2 42
 
3.1%
0 37
 
2.7%
3 32
 
2.3%
5 27
 
2.0%
4 21
 
1.5%
) 18
 
1.3%
Other values (14) 109
 
7.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2108
58.2%
ASCII 1483
41.0%
CJK Compat 16
 
0.4%
None 12
 
0.3%
Arrows 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
822
55.4%
, 138
 
9.3%
1 67
 
4.5%
: 62
 
4.2%
2 42
 
2.8%
0 37
 
2.5%
3 32
 
2.2%
A 31
 
2.1%
E 29
 
2.0%
5 27
 
1.8%
Other values (36) 196
 
13.2%
Hangul
ValueCountFrequency (%)
치 54
 
2.6%
설 52
 
2.5%
장 51
 
2.4%
기 47
 
2.2%
체 46
 
2.2%
교 45
 
2.1%
수 43
 
2.0%
개 39
 
1.9%
실 36
 
1.7%
화 33
 
1.6%
Other values (327) 1662
78.8%
CJK Compat
ValueCountFrequency (%)
㎡ 16
100.0%
None
ValueCountFrequency (%)
× 10
83.3%
Ø 1
 
8.3%
· 1
 
8.3%
Arrows
ValueCountFrequency (%)
→ 2
100.0%

개선금액(천원)
Text

Distinct89
Distinct (%)91.8%
Missing0
Missing (%)0.0%
Memory size908.0 B
2024-03-14T18:26:46.497874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length3.9381443
Min length1

Characters and Unicode

Total characters382
Distinct characters15
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

Unique86 ?
Unique (%)88.7%

Sample

1st row14872
2nd row4191
3rd row4000
4th row5005
5th row3500
ValueCountFrequency (%)
0 7
 
7.1%
2059 2
 
2.0%
전액 2
 
2.0%
구비 2
 
2.0%
7854 1
 
1.0%
5529 1
 
1.0%
2288 1
 
1.0%
2434 1
 
1.0%
1830 1
 
1.0%
1620 1
 
1.0%
Other values (80) 80
80.8%
2024-03-14T18:26:47.059644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 61
16.0%
1 43
11.3%
2 42
11.0%
5 42
11.0%
4 41
10.7%
3 37
9.7%
6 32
8.4%
9 28
7.3%
8 27
7.1%
7 17
 
4.5%
Other values (5) 12
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 370
96.9%
Other Letter 8
 
2.1%
Space Separator 4
 
1.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 61
16.5%
1 43
11.6%
2 42
11.4%
5 42
11.4%
4 41
11.1%
3 37
10.0%
6 32
8.6%
9 28
7.6%
8 27
7.3%
7 17
 
4.6%
Other Letter
ValueCountFrequency (%)
전 2
25.0%
액 2
25.0%
구 2
25.0%
비 2
25.0%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 374
97.9%
Hangul 8
 
2.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 61
16.3%
1 43
11.5%
2 42
11.2%
5 42
11.2%
4 41
11.0%
3 37
9.9%
6 32
8.6%
9 28
7.5%
8 27
7.2%
7 17
 
4.5%
Hangul
ValueCountFrequency (%)
전 2
25.0%
액 2
25.0%
구 2
25.0%
비 2
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 374
97.9%
Hangul 8
 
2.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 61
16.3%
1 43
11.5%
2 42
11.2%
5 42
11.2%
4 41
11.0%
3 37
9.9%
6 32
8.6%
9 28
7.5%
8 27
7.2%
7 17
 
4.5%
Hangul
ValueCountFrequency (%)
전 2
25.0%
액 2
25.0%
구 2
25.0%
비 2
25.0%

Interactions

2024-03-14T18:26:41.117437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T18:26:47.225919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번사업장명개선명개선기간개선내용개선금액(천원)
연번1.0000.9760.9430.8081.0000.929
사업장명0.9761.0000.9340.0000.9280.988
개선명0.9430.9341.0001.0001.0000.996
개선기간0.8080.0001.0001.0001.0000.921
개선내용1.0000.9281.0001.0001.0000.996
개선금액(천원)0.9290.9880.9960.9210.9961.000
2024-03-14T18:26:47.410324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번사업장명
연번1.0000.791
사업장명0.7911.000

Missing values

2024-03-14T18:26:41.437094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T18:26:41.769859image/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.
2024-03-14T18:26:42.082584image/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

연번사업장명개선명개선기간개선내용개선금액(천원)
01서구청소년센터지하1층 환경개선공사2023-02-26~2023-03-09(12일간)자동문 설치 : 1SET, 바닥타일교체 : 125㎡14872
12서구청소년센터수영장 샤워실 및 화장실 환경개선 공사2023-05-13~2023-05-15(3일간)자기질 타일 : 16㎡, 거울 시공 : 10EA4191
23가좌청소년센터야외무대 바닥 개선공사2023-03-22~2023-03-25(4일간)목재데크 설치 : 31㎡, 목재데크 도색 : 31㎡4000
34가좌청소년센터냉난방기 종합세척2023-05-09(1일간)실내기 정밀분해 세척 : 58대5005
45가좌청소년센터전기설비 정비2023-10-30~2023-10-31(2일간)1층 플레이존 노래방 영상 음향차단장치 설치 : 1개소, 방재실 야외조명 전자식 타이머 교체 : 5개, 전기실 AISS컨트롤러 교체 : 1대3500
56가좌청소년센터시설물 개선공사2023-10-30~2023-11-08(10일간)4층 강당 파손 창문 교체 및 조정실 도어 교체, 냉난방기 가벽 설치 등, 3층 공연연습실 파손 거울 교체 및 테라스 난간 지지대 보강 작업5540
67검단청소년센터장애인화장실 자동문 설치 공사2023-02-13~2023-02-22(10일간)기존 미닫이문 철거 : 3개소, 자동문 설치 : 3개소8536
78검단청소년센터밴드연습실 환경개선공사2023-03-06~2023-03-20(15일간)건축물 현장정리 : 36㎡, 기존 방음재 철거, 해체 : 103㎡, 구조용 사각관 설치 : 144m, 내수합판 및 데코타일 설치 : 36㎡, 석고보드(벽체, 천정) : 130㎡, 라인형 흡음판 설치 : 103㎡, 양개 방음문(시창포함) 설치 : 1SET21945
89검단청소년센터옥외휴식공간 방수 및 환경개선공사2023-08-06~2023-08-20(15일간)바닥 석재타일 및 방수층 철거, 화단 철거 : 2개소, 바닥 몰탈 타설 및 방수작업, 인조잔디 시공19976
910검단청소년센터옥상 환경개선공사2023-09-11~2023-10-06(26일간)기존 옥상 바닥 데크 및 파고라 철거13925
연번사업장명개선명개선기간개선내용개선금액(천원)
8788검단노인복지관운동기구 설치 환경개선2023-12-19(1일간)어르신 운동기구 설치14350
8889가좌노인문화센터강당 음향설비 수리2023-03-14(1일간)저음 스피커 교체 수리, 고음 스피커 교체 수리902
8990가좌노인문화센터시스템 냉·난방기 청소2023-05-18(1일간)실내기 내부 소독, 에어컨 필터 청소594
9091가좌노인문화센터외부 안내간판 정비2023-07-23(1일간)안내게시판 신규제작506
9192가좌노인문화센터승강기 인버터 교체2023-10-18~2023-12-06승강기 인버터 부품 교체, 자동구출운전장치 수리6336
9293연희노인문화센터정보검색대 컴퓨터 교체 및 전자혈압계 설치2023-07-03(1일간)정보검색대 컴퓨터를 사용이 편리한 일체형 대화면 컴퓨터로 교체(2대), 도서실 정보검색대 2대 추가 설치, 전자혈압계 설치(1대)2754
9394연희노인문화센터경로식당 식탁의자 교체2023-08-10(1일간)노후된 식탁의자 교체교체 수량 : 80개4400
9495연희노인문화센터체력단련실 트레드밀 교체2023-08-17(1일간)노후 트레드밀 3대 폐기, 신형 트레드밀 4대 설치11800
9596연희노인문화센터냉난방기 교체2023-12-01~2023-12-22(22일간)기존 노후 냉난방기 실내외기 폐기, 삼성 냉난방기 실내외기 설치205805
9697연희노인문화센터샤워실 미끄럼방지 바닥공사2023-12-21(1일간)체력단련실내 남녀샤워실 미끄럼 방지 도막 공사2235