Overview

Dataset statistics

Number of variables9
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory791.0 KiB
Average record size in memory81.0 B

Variable types

Numeric1
Categorical3
Text3
DateTime2

Dataset

Description대구광역시 달서구_계약현황_20220430
Author대구광역시 달서구
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=15063250&dataSetDetailId=150632501c01197e8618b&provdMethod=FILE

Alerts

담당부서 has constant value ""Constant
기준일자 has constant value ""Constant
관서명 is highly imbalanced (73.5%)Imbalance
번호 has unique valuesUnique

Reproduction

Analysis started2024-04-21 15:22:21.648095
Analysis finished2024-04-21 15:22:23.989110
Duration2.34 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18218.976
Minimum3
Maximum36499
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-22T00:22:24.115256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile1852.95
Q19044
median18244.5
Q327347.25
95-th percentile34676.05
Maximum36499
Range36496
Interquartile range (IQR)18303.25

Descriptive statistics

Standard deviation10536.605
Coefficient of variation (CV)0.57833137
Kurtosis-1.2014554
Mean18218.976
Median Absolute Deviation (MAD)9157
Skewness0.00038891224
Sum1.8218976 × 108
Variance1.1102005 × 108
MonotonicityNot monotonic
2024-04-22T00:22:24.365704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
31826 1
 
< 0.1%
16706 1
 
< 0.1%
16808 1
 
< 0.1%
11708 1
 
< 0.1%
24894 1
 
< 0.1%
17369 1
 
< 0.1%
6862 1
 
< 0.1%
14604 1
 
< 0.1%
6838 1
 
< 0.1%
26885 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
3 1
< 0.1%
11 1
< 0.1%
14 1
< 0.1%
22 1
< 0.1%
26 1
< 0.1%
27 1
< 0.1%
29 1
< 0.1%
36 1
< 0.1%
42 1
< 0.1%
44 1
< 0.1%
ValueCountFrequency (%)
36499 1
< 0.1%
36492 1
< 0.1%
36490 1
< 0.1%
36486 1
< 0.1%
36484 1
< 0.1%
36483 1
< 0.1%
36481 1
< 0.1%
36478 1
< 0.1%
36470 1
< 0.1%
36465 1
< 0.1%

구분
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
물품
6293 
용역
2059 
공사
1648 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row용역
2nd row공사
3rd row물품
4th row물품
5th row물품

Common Values

ValueCountFrequency (%)
물품 6293
62.9%
용역 2059
 
20.6%
공사 1648
 
16.5%

Length

2024-04-22T00:22:24.597699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T00:22:24.764977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
물품 6293
62.9%
용역 2059
 
20.6%
공사 1648
 
16.5%

관서명
Categorical

IMBALANCE 

Distinct27
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
본청
8301 
보건소
 
728
진천동
 
87
용산1동
 
69
두류1·2동
 
68
Other values (22)
 
747

Length

Max length8
Median length2
Mean length2.2418
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
본청 8301
83.0%
보건소 728
 
7.3%
진천동 87
 
0.9%
용산1동 69
 
0.7%
두류1·2동 68
 
0.7%
성당동 63
 
0.6%
장기동 62
 
0.6%
월성1동 52
 
0.5%
의회 43
 
0.4%
도원동 41
 
0.4%
Other values (17) 486
 
4.9%

Length

2024-04-22T00:22:24.954329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
본청 8301
83.0%
보건소 728
 
7.3%
진천동 87
 
0.9%
용산1동 69
 
0.7%
두류1·2동 68
 
0.7%
성당동 63
 
0.6%
장기동 62
 
0.6%
월성1동 52
 
0.5%
의회 43
 
0.4%
도원동 41
 
0.4%
Other values (17) 486
 
4.9%

계약명
Text

Distinct9253
Distinct (%)92.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-22T00:22:25.714246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length67
Median length49
Mean length22.8656
Min length4

Characters and Unicode

Total characters228656
Distinct characters874
Distinct categories15 ?
Distinct scripts4 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8880 ?
Unique (%)88.8%

Sample

1st row고압펌프 수선
2nd row수목원삼거리 외 3개소 교통사고잦은곳 개선사업 신호기 및 집중조명 설치공사
3rd row성서도서관 1월 희망도서 구매
4th row코로나19 확산방지 착한가격업소 지원용 손소독제 구입
5th row수목병충해 약품 구입
ValueCountFrequency (%)
구입 2779
 
5.8%
및 1444
 
3.0%
시행 835
 
1.7%
외 740
 
1.5%
관급자재 606
 
1.3%
용역 523
 
1.1%
설치 513
 
1.1%
제작 484
 
1.0%
지출 459
 
1.0%
따른 436
 
0.9%
Other values (10499) 39079
81.6%
2024-04-22T00:22:26.780994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
37898
 
16.6%
구 5967
 
2.6%
사 4881
 
2.1%
공 4747
 
2.1%
입 4538
 
2.0%
) 3150
 
1.4%
( 3147
 
1.4%
지 3143
 
1.4%
2 2995
 
1.3%
관 2910
 
1.3%
Other values (864) 155280
67.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 169478
74.1%
Space Separator 37898
 
16.6%
Decimal Number 10527
 
4.6%
Close Punctuation 3250
 
1.4%
Open Punctuation 3246
 
1.4%
Uppercase Letter 2386
 
1.0%
Other Punctuation 866
 
0.4%
Dash Punctuation 473
 
0.2%
Lowercase Letter 401
 
0.2%
Math Symbol 123
 
0.1%
Other values (5) 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 5967
 
3.5%
사 4881
 
2.9%
공 4747
 
2.8%
입 4538
 
2.7%
지 3143
 
1.9%
관 2910
 
1.7%
시 2898
 
1.7%
기 2844
 
1.7%
수 2782
 
1.6%
용 2737
 
1.6%
Other values (770) 132031
77.9%
Uppercase Letter
ValueCountFrequency (%)
C 398
16.7%
D 343
14.4%
V 198
8.3%
T 187
7.8%
E 180
7.5%
L 157
 
6.6%
P 151
 
6.3%
B 132
 
5.5%
S 111
 
4.7%
I 80
 
3.4%
Other values (16) 449
18.8%
Lowercase Letter
ValueCountFrequency (%)
e 59
14.7%
o 53
13.2%
a 28
 
7.0%
r 28
 
7.0%
c 25
 
6.2%
i 21
 
5.2%
n 21
 
5.2%
l 18
 
4.5%
p 17
 
4.2%
s 17
 
4.2%
Other values (15) 114
28.4%
Other Punctuation
ValueCountFrequency (%)
, 401
46.3%
· 210
24.2%
. 137
 
15.8%
/ 42
 
4.8%
' 33
 
3.8%
" 11
 
1.3%
: 10
 
1.2%
& 7
 
0.8%
! 5
 
0.6%
？ 3
 
0.3%
Other values (4) 7
 
0.8%
Decimal Number
ValueCountFrequency (%)
2 2995
28.5%
1 2473
23.5%
0 2031
19.3%
3 682
 
6.5%
4 480
 
4.6%
9 465
 
4.4%
5 410
 
3.9%
6 341
 
3.2%
8 339
 
3.2%
7 311
 
3.0%
Close Punctuation
ValueCountFrequency (%)
) 3150
96.9%
」 69
 
2.1%
] 17
 
0.5%
』 13
 
0.4%
］ 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 3147
97.0%
「 69
 
2.1%
[ 18
 
0.6%
『 12
 
0.4%
Math Symbol
ValueCountFrequency (%)
~ 118
95.9%
+ 5
 
4.1%
Final Punctuation
ValueCountFrequency (%)
” 1
50.0%
’ 1
50.0%
Space Separator
ValueCountFrequency (%)
37898
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 473
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%
Initial Punctuation
ValueCountFrequency (%)
“ 1
100.0%
Other Symbol
ValueCountFrequency (%)
㎖ 1
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 169457
74.1%
Common 56390
 
24.7%
Latin 2788
 
1.2%
Han 21
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 5967
 
3.5%
사 4881
 
2.9%
공 4747
 
2.8%
입 4538
 
2.7%
지 3143
 
1.9%
관 2910
 
1.7%
시 2898
 
1.7%
기 2844
 
1.7%
수 2782
 
1.6%
용 2737
 
1.6%
Other values (763) 132010
77.9%
Latin
ValueCountFrequency (%)
C 398
14.3%
D 343
12.3%
V 198
 
7.1%
T 187
 
6.7%
E 180
 
6.5%
L 157
 
5.6%
P 151
 
5.4%
B 132
 
4.7%
S 111
 
4.0%
I 80
 
2.9%
Other values (42) 851
30.5%
Common
ValueCountFrequency (%)
37898
67.2%
) 3150
 
5.6%
( 3147
 
5.6%
2 2995
 
5.3%
1 2473
 
4.4%
0 2031
 
3.6%
3 682
 
1.2%
4 480
 
0.9%
- 473
 
0.8%
9 465
 
0.8%
Other values (32) 2596
 
4.6%
Han
ValueCountFrequency (%)
舊 12
57.1%
區 2
 
9.5%
夏 2
 
9.5%
洞 2
 
9.5%
新 1
 
4.8%
燈 1
 
4.8%
市 1
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 169449
74.1%
ASCII 58795
 
25.7%
None 378
 
0.2%
CJK 21
 
< 0.1%
Compat Jamo 8
 
< 0.1%
Punctuation 3
 
< 0.1%
CJK Compat 1
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
37898
64.5%
) 3150
 
5.4%
( 3147
 
5.4%
2 2995
 
5.1%
1 2473
 
4.2%
0 2031
 
3.5%
3 682
 
1.2%
4 480
 
0.8%
- 473
 
0.8%
9 465
 
0.8%
Other values (71) 5001
 
8.5%
Hangul
ValueCountFrequency (%)
구 5967
 
3.5%
사 4881
 
2.9%
공 4747
 
2.8%
입 4538
 
2.7%
지 3143
 
1.9%
관 2910
 
1.7%
시 2898
 
1.7%
기 2844
 
1.7%
수 2782
 
1.6%
용 2737
 
1.6%
Other values (762) 132002
77.9%
None
ValueCountFrequency (%)
· 210
55.6%
「 69
 
18.3%
」 69
 
18.3%
』 13
 
3.4%
『 12
 
3.2%
？ 3
 
0.8%
＆ 1
 
0.3%
］ 1
 
0.3%
CJK
ValueCountFrequency (%)
舊 12
57.1%
區 2
 
9.5%
夏 2
 
9.5%
洞 2
 
9.5%
新 1
 
4.8%
燈 1
 
4.8%
市 1
 
4.8%
Compat Jamo
ValueCountFrequency (%)
ㆍ 8
100.0%
Punctuation
ValueCountFrequency (%)
“ 1
33.3%
” 1
33.3%
’ 1
33.3%
CJK Compat
ValueCountFrequency (%)
㎖ 1
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

계약금액
Text

Distinct6630
Distinct (%)66.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-22T00:22:28.076675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length9
Mean length8.8012
Min length1

Characters and Unicode

Total characters88012
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

Unique5476 ?
Unique (%)54.8%

Sample

1st row2,650,000
2nd row179,186,000
3rd row3,576,870
4th row1,108,800
5th row639,100
ValueCountFrequency (%)
396,000 34
 
0.3%
3,300,000 30
 
0.3%
1,800,000 29
 
0.3%
990,000 28
 
0.3%
440,000 28
 
0.3%
600,000 27
 
0.3%
1,200,000 26
 
0.3%
550,000 26
 
0.3%
660,000 23
 
0.2%
1,500,000 22
 
0.2%
Other values (6620) 9727
97.3%
2024-04-22T00:22:29.452516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 32371
36.8%
, 17744
20.2%
1 5881
 
6.7%
2 4906
 
5.6%
5 4237
 
4.8%
4 4225
 
4.8%
3 4112
 
4.7%
8 3930
 
4.5%
6 3778
 
4.3%
9 3474
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 70268
79.8%
Other Punctuation 17744
 
20.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 32371
46.1%
1 5881
 
8.4%
2 4906
 
7.0%
5 4237
 
6.0%
4 4225
 
6.0%
3 4112
 
5.9%
8 3930
 
5.6%
6 3778
 
5.4%
9 3474
 
4.9%
7 3354
 
4.8%
Other Punctuation
ValueCountFrequency (%)
, 17744
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 88012
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 32371
36.8%
, 17744
20.2%
1 5881
 
6.7%
2 4906
 
5.6%
5 4237
 
4.8%
4 4225
 
4.8%
3 4112
 
4.7%
8 3930
 
4.5%
6 3778
 
4.3%
9 3474
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 88012
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 32371
36.8%
, 17744
20.2%
1 5881
 
6.7%
2 4906
 
5.6%
5 4237
 
4.8%
4 4225
 
4.8%
3 4112
 
4.7%
8 3930
 
4.5%
6 3778
 
4.3%
9 3474
 
3.9%

계약일
Date

Distinct3076
Distinct (%)30.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2007-10-29 00:00:00
Maximum2022-04-29 00:00:00
2024-04-22T00:22:29.695091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T00:22:29.941295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

계약대상자
Text

Distinct3448
Distinct (%)34.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-22T00:22:30.650952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length22
Mean length7.2144
Min length2

Characters and Unicode

Total characters72144
Distinct characters651
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2045 ?
Unique (%)20.4%

Sample

1st row(주)명성토건
2nd row신천전설(주)
3rd row(주)한국문헌정보
4th row케이제이팜
5th row진흥녹화센터
ValueCountFrequency (%)
주식회사 1011
 
8.8%
청명정보 307
 
2.7%
대구지방조달청 132
 
1.1%
주)한국문헌정보 132
 
1.1%
동성광고사 100
 
0.9%
주)에스원 88
 
0.8%
나래가구 83
 
0.7%
미형개발 81
 
0.7%
영주카 71
 
0.6%
부분정비 71
 
0.6%
Other values (3539) 9472
82.0%
2024-04-22T00:22:31.604378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 4966
 
6.9%
) 3841
 
5.3%
( 3827
 
5.3%
사 2443
 
3.4%
1548
 
2.1%
이 1402
 
1.9%
회 1386
 
1.9%
스 1349
 
1.9%
식 1273
 
1.8%
대 1256
 
1.7%
Other values (641) 48853
67.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 61831
85.7%
Close Punctuation 3841
 
5.3%
Open Punctuation 3827
 
5.3%
Space Separator 1548
 
2.1%
Uppercase Letter 782
 
1.1%
Lowercase Letter 176
 
0.2%
Decimal Number 53
 
0.1%
Other Punctuation 48
 
0.1%
Dash Punctuation 33
 
< 0.1%
Other Symbol 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 4966
 
8.0%
사 2443
 
4.0%
이 1402
 
2.3%
회 1386
 
2.2%
스 1349
 
2.2%
식 1273
 
2.1%
대 1256
 
2.0%
경 944
 
1.5%
업 925
 
1.5%
한 924
 
1.5%
Other values (581) 44963
72.7%
Uppercase Letter
ValueCountFrequency (%)
E 95
12.1%
S 80
10.2%
C 78
10.0%
N 68
 
8.7%
T 58
 
7.4%
G 52
 
6.6%
M 44
 
5.6%
A 41
 
5.2%
O 38
 
4.9%
I 37
 
4.7%
Other values (14) 191
24.4%
Lowercase Letter
ValueCountFrequency (%)
e 29
16.5%
s 19
10.8%
a 16
9.1%
o 14
 
8.0%
c 13
 
7.4%
p 12
 
6.8%
t 12
 
6.8%
h 9
 
5.1%
l 8
 
4.5%
r 7
 
4.0%
Other values (11) 37
21.0%
Decimal Number
ValueCountFrequency (%)
1 26
49.1%
2 10
 
18.9%
4 7
 
13.2%
6 5
 
9.4%
8 3
 
5.7%
5 1
 
1.9%
9 1
 
1.9%
Other Punctuation
ValueCountFrequency (%)
. 26
54.2%
& 18
37.5%
, 4
 
8.3%
Close Punctuation
ValueCountFrequency (%)
) 3841
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3827
100.0%
Space Separator
ValueCountFrequency (%)
1548
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 33
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 61836
85.7%
Common 9350
 
13.0%
Latin 958
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 4966
 
8.0%
사 2443
 
4.0%
이 1402
 
2.3%
회 1386
 
2.2%
스 1349
 
2.2%
식 1273
 
2.1%
대 1256
 
2.0%
경 944
 
1.5%
업 925
 
1.5%
한 924
 
1.5%
Other values (582) 44968
72.7%
Latin
ValueCountFrequency (%)
E 95
 
9.9%
S 80
 
8.4%
C 78
 
8.1%
N 68
 
7.1%
T 58
 
6.1%
G 52
 
5.4%
M 44
 
4.6%
A 41
 
4.3%
O 38
 
4.0%
I 37
 
3.9%
Other values (35) 367
38.3%
Common
ValueCountFrequency (%)
) 3841
41.1%
( 3827
40.9%
1548
16.6%
- 33
 
0.4%
. 26
 
0.3%
1 26
 
0.3%
& 18
 
0.2%
2 10
 
0.1%
4 7
 
0.1%
6 5
 
0.1%
Other values (4) 9
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 61831
85.7%
ASCII 10308
 
14.3%
None 5
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 4966
 
8.0%
사 2443
 
4.0%
이 1402
 
2.3%
회 1386
 
2.2%
스 1349
 
2.2%
식 1273
 
2.1%
대 1256
 
2.0%
경 944
 
1.5%
업 925
 
1.5%
한 924
 
1.5%
Other values (581) 44963
72.7%
ASCII
ValueCountFrequency (%)
) 3841
37.3%
( 3827
37.1%
1548
15.0%
E 95
 
0.9%
S 80
 
0.8%
C 78
 
0.8%
N 68
 
0.7%
T 58
 
0.6%
G 52
 
0.5%
M 44
 
0.4%
Other values (49) 617
 
6.0%
None
ValueCountFrequency (%)
㈜ 5
100.0%

담당부서
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
총무과
10000 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
총무과 10000
100.0%

Length

2024-04-22T00:22:31.820550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T00:22:31.976629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
총무과 10000
100.0%

기준일자
Date

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2022-04-30 00:00:00
Maximum2022-04-30 00:00:00
2024-04-22T00:22:32.104389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T00:22:32.261486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-04-22T00:22:23.406528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-22T00:22:32.379107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호구분관서명
번호1.0000.1750.214
구분0.1751.0000.326
관서명0.2140.3261.000
2024-04-22T00:22:32.523709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분관서명
구분1.0000.159
관서명0.1591.000
2024-04-22T00:22:32.659303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호구분관서명
번호1.0000.1050.079
구분0.1051.0000.159
관서명0.0790.1591.000

Missing values

2024-04-22T00:22:23.641714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-22T00:22:23.882759image/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

번호구분관서명계약명계약금액계약일계약대상자담당부서기준일자
3182531826용역본청고압펌프 수선2,650,0002011-05-09(주)명성토건총무과2022-04-30
62196220공사본청수목원삼거리 외 3개소 교통사고잦은곳 개선사업 신호기 및 집중조명 설치공사179,186,0002020-06-26신천전설(주)총무과2022-04-30
2255322554물품본청성서도서관 1월 희망도서 구매3,576,8702015-02-27(주)한국문헌정보총무과2022-04-30
75437544물품본청코로나19 확산방지 착한가격업소 지원용 손소독제 구입1,108,8002020-03-02케이제이팜총무과2022-04-30
2615626157물품본청수목병충해 약품 구입639,1002013-12-23진흥녹화센터총무과2022-04-30
3306233063공사본청진천동 655-5번지(진천초교북편)선 지장수목 이식 공사 시행2,830,0002010-10-04수준조경개발(주)총무과2022-04-30
2029820299용역본청2016년 자료관시스템 소프트웨어 유지보수(연가단가) 계약2,970,0002015-12-31(주)아이티엘총무과2022-04-30
2596725968용역보건소2014년 성서보건지소 청사 청소용역30,936,9602013-12-31대한민국고엽제전우회총무과2022-04-30
2495124952물품보건소프린터 토너 구입비 지출135,0002014-04-16청명정보총무과2022-04-30
3165131652물품본청안전도시과 방범용 CCTV 구매설치사업63,256,8002011-06-09화인시스템(주)총무과2022-04-30
번호구분관서명계약명계약금액계약일계약대상자담당부서기준일자
2202922030물품본청사회복무요원 근무복 구입177,0002015-04-30제일피복공업(주)총무과2022-04-30
3100231003물품본청2011년 본리도서관 하반기 정기 도서 구매31,101,8402011-10-27(주)동재문고총무과2022-04-30
1741617417물품본청민방위대원 화생방용 방독면 구입21,210,0002017-01-13(주)산청총무과2022-04-30
3421834219물품본청들꽃마을 장애인공동생활가정 도배자재 구입(H-50)2,538,3002009-10-23일산토탈인테리어총무과2022-04-30
2795027951물품보건소방문보건사업 콜레스테롤검사기기 구입2,080,0002013-02-22다감약품총무과2022-04-30
21882189물품본청2021. 청소용 마대구입9,240,0002021-10-05명성산업총무과2022-04-30
3294932950물품본청녹색생활 실천 교재 및 리플렛 제작3,170,0002010-11-03동아인쇄문화사총무과2022-04-30
1379513796공사본청건강가정·다문화가족지원센터 공동육아나눔터 리모델링공사3,846,0002018-03-06(주)부성건축디자인총무과2022-04-30
2156421565공사본청드림스타트 사무실 공간 확장 및 배치 변경에 따른 구내통신 신.이설 공사450,0002015-07-17에스정보통신(주)총무과2022-04-30
35343535물품본청용산미로어린이공원 외 2개소 재정비공사 관급자재 구입(고무칩포장)39,475,2002021-04-15(주)필립코리아총무과2022-04-30