Overview

Dataset statistics

Number of variables9
Number of observations10000
Missing cells1
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory800.8 KiB
Average record size in memory82.0 B

Variable types

Numeric2
Categorical3
Text2
DateTime2

Dataset

Description대구광역시 달서구 내 계약현황에 대한 내용 및 정보가 담겨있음. (번호, 구분, 관서명, 계약명, 계약금액, 계약일, 계약대상자)
URLhttps://www.data.go.kr/data/15063250/fileData.do

Alerts

담당부서 has constant value ""Constant
기준일자 has constant value ""Constant
관서명 is highly imbalanced (73.3%)Imbalance
번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 14:08:12.069912
Analysis finished2023-12-12 14:08:14.341421
Duration2.27 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%
Mean19367.561
Minimum6
Maximum38638
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T23:08:14.432355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile1953.7
Q19667
median19318
Q329140
95-th percentile36725.25
Maximum38638
Range38632
Interquartile range (IQR)19473

Descriptive statistics

Standard deviation11173.197
Coefficient of variation (CV)0.57690261
Kurtosis-1.2093924
Mean19367.561
Median Absolute Deviation (MAD)9734
Skewness-0.0016065658
Sum1.9367561 × 108
Variance1.2484032 × 108
MonotonicityNot monotonic
2023-12-12T23:08:14.572612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12155 1
 
< 0.1%
11829 1
 
< 0.1%
30584 1
 
< 0.1%
37271 1
 
< 0.1%
35745 1
 
< 0.1%
1752 1
 
< 0.1%
18998 1
 
< 0.1%
37151 1
 
< 0.1%
9732 1
 
< 0.1%
33953 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
6 1
< 0.1%
8 1
< 0.1%
10 1
< 0.1%
15 1
< 0.1%
17 1
< 0.1%
19 1
< 0.1%
26 1
< 0.1%
27 1
< 0.1%
28 1
< 0.1%
31 1
< 0.1%
ValueCountFrequency (%)
38638 1
< 0.1%
38636 1
< 0.1%
38621 1
< 0.1%
38615 1
< 0.1%
38606 1
< 0.1%
38605 1
< 0.1%
38600 1
< 0.1%
38597 1
< 0.1%
38596 1
< 0.1%
38595 1
< 0.1%

구분
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
물품
6241 
용역
2103 
공사
1656 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
물품 6241
62.4%
용역 2103
 
21.0%
공사 1656
 
16.6%

Length

2023-12-12T23:08:14.752042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:08:14.902538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
물품 6241
62.4%
용역 2103
 
21.0%
공사 1656
 
16.6%

관서명
Categorical

IMBALANCE 

Distinct27
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
본청
8289 
보건소
 
726
용산1동
 
80
진천동
 
71
두류1·2동
 
65
Other values (22)
 
769

Length

Max length8
Median length2
Mean length2.2373
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
본청 8289
82.9%
보건소 726
 
7.3%
용산1동 80
 
0.8%
진천동 71
 
0.7%
두류1·2동 65
 
0.7%
장기동 62
 
0.6%
도원동 60
 
0.6%
성당동 53
 
0.5%
의회 48
 
0.5%
상인2동 46
 
0.5%
Other values (17) 500
 
5.0%

Length

2023-12-12T23:08:15.048791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
본청 8289
82.9%
보건소 726
 
7.3%
용산1동 80
 
0.8%
진천동 71
 
0.7%
두류1·2동 65
 
0.7%
장기동 62
 
0.6%
도원동 60
 
0.6%
성당동 53
 
0.5%
의회 48
 
0.5%
상인2동 46
 
0.5%
Other values (17) 500
 
5.0%

계약명
Text

Distinct9218
Distinct (%)92.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T23:08:15.622879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length69
Median length51
Mean length22.8849
Min length4

Characters and Unicode

Total characters228849
Distinct characters857
Distinct categories14 ?
Distinct scripts4 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8836 ?
Unique (%)88.4%

Sample

1st row신당절개지 외 6개소 급경사지 정비공사 시행
2nd row등산로 내 보행매트 구입
3rd row가로수및 조경지 관리 물품 구입
4th row호산중학교 예정부지 체육시설 이동식화장실 구입
5th row2015년 3/4분기 주민등록증감별기 유지보수료
ValueCountFrequency (%)
구입 2737
 
5.7%
및 1438
 
3.0%
시행 865
 
1.8%
외 716
 
1.5%
관급자재 584
 
1.2%
용역 577
 
1.2%
설치 484
 
1.0%
지출 473
 
1.0%
제작 471
 
1.0%
따른 388
 
0.8%
Other values (10402) 39176
81.8%
2023-12-12T23:08:16.074439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
37914
 
16.6%
구 5998
 
2.6%
사 4864
 
2.1%
공 4705
 
2.1%
입 4411
 
1.9%
2 3257
 
1.4%
지 3128
 
1.4%
) 3117
 
1.4%
( 3112
 
1.4%
관 2961
 
1.3%
Other values (847) 155382
67.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 169722
74.2%
Space Separator 37914
 
16.6%
Decimal Number 10728
 
4.7%
Close Punctuation 3233
 
1.4%
Open Punctuation 3229
 
1.4%
Uppercase Letter 2260
 
1.0%
Other Punctuation 880
 
0.4%
Dash Punctuation 437
 
0.2%
Lowercase Letter 315
 
0.1%
Math Symbol 120
 
0.1%
Other values (4) 11
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 5998
 
3.5%
사 4864
 
2.9%
공 4705
 
2.8%
입 4411
 
2.6%
지 3128
 
1.8%
관 2961
 
1.7%
시 2936
 
1.7%
수 2847
 
1.7%
기 2833
 
1.7%
용 2699
 
1.6%
Other values (762) 132340
78.0%
Uppercase Letter
ValueCountFrequency (%)
C 405
17.9%
D 304
13.5%
T 196
8.7%
V 191
8.5%
E 172
7.6%
P 156
 
6.9%
L 152
 
6.7%
B 140
 
6.2%
S 96
 
4.2%
I 66
 
2.9%
Other values (14) 382
16.9%
Lowercase Letter
ValueCountFrequency (%)
e 37
11.7%
o 35
11.1%
a 30
 
9.5%
s 25
 
7.9%
r 24
 
7.6%
i 21
 
6.7%
d 18
 
5.7%
c 18
 
5.7%
n 17
 
5.4%
p 13
 
4.1%
Other values (13) 77
24.4%
Other Punctuation
ValueCountFrequency (%)
, 392
44.5%
· 262
29.8%
. 144
 
16.4%
/ 39
 
4.4%
' 16
 
1.8%
: 11
 
1.2%
" 6
 
0.7%
& 5
 
0.6%
! 3
 
0.3%
# 1
 
0.1%
Decimal Number
ValueCountFrequency (%)
2 3257
30.4%
1 2433
22.7%
0 2074
19.3%
3 690
 
6.4%
4 480
 
4.5%
5 417
 
3.9%
9 413
 
3.8%
8 361
 
3.4%
7 305
 
2.8%
6 298
 
2.8%
Close Punctuation
ValueCountFrequency (%)
) 3117
96.4%
」 87
 
2.7%
] 22
 
0.7%
』 7
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 3112
96.4%
「 87
 
2.7%
[ 23
 
0.7%
『 7
 
0.2%
Math Symbol
ValueCountFrequency (%)
~ 114
95.0%
+ 6
 
5.0%
Letter Number
ValueCountFrequency (%)
Ⅲ 2
66.7%
Ⅰ 1
33.3%
Space Separator
ValueCountFrequency (%)
37914
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 437
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 6
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%
Other Symbol
ValueCountFrequency (%)
㎖ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 169700
74.2%
Common 56549
 
24.7%
Latin 2578
 
1.1%
Han 22
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 5998
 
3.5%
사 4864
 
2.9%
공 4705
 
2.8%
입 4411
 
2.6%
지 3128
 
1.8%
관 2961
 
1.7%
시 2936
 
1.7%
수 2847
 
1.7%
기 2833
 
1.7%
용 2699
 
1.6%
Other values (756) 132318
78.0%
Latin
ValueCountFrequency (%)
C 405
15.7%
D 304
11.8%
T 196
 
7.6%
V 191
 
7.4%
E 172
 
6.7%
P 156
 
6.1%
L 152
 
5.9%
B 140
 
5.4%
S 96
 
3.7%
I 66
 
2.6%
Other values (39) 700
27.2%
Common
ValueCountFrequency (%)
37914
67.0%
2 3257
 
5.8%
) 3117
 
5.5%
( 3112
 
5.5%
1 2433
 
4.3%
0 2074
 
3.7%
3 690
 
1.2%
4 480
 
0.8%
- 437
 
0.8%
5 417
 
0.7%
Other values (26) 2618
 
4.6%
Han
ValueCountFrequency (%)
舊 7
31.8%
區 6
27.3%
洞 5
22.7%
新 2
 
9.1%
詩 1
 
4.5%
市 1
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 169691
74.1%
ASCII 58671
 
25.6%
None 451
 
0.2%
CJK 22
 
< 0.1%
Compat Jamo 9
 
< 0.1%
Number Forms 3
 
< 0.1%
Punctuation 1
 
< 0.1%
CJK Compat 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
37914
64.6%
2 3257
 
5.6%
) 3117
 
5.3%
( 3112
 
5.3%
1 2433
 
4.1%
0 2074
 
3.5%
3 690
 
1.2%
4 480
 
0.8%
- 437
 
0.7%
5 417
 
0.7%
Other values (65) 4740
 
8.1%
Hangul
ValueCountFrequency (%)
구 5998
 
3.5%
사 4864
 
2.9%
공 4705
 
2.8%
입 4411
 
2.6%
지 3128
 
1.8%
관 2961
 
1.7%
시 2936
 
1.7%
수 2847
 
1.7%
기 2833
 
1.7%
용 2699
 
1.6%
Other values (755) 132309
78.0%
None
ValueCountFrequency (%)
· 262
58.1%
」 87
 
19.3%
「 87
 
19.3%
』 7
 
1.6%
『 7
 
1.6%
＇ 1
 
0.2%
Compat Jamo
ValueCountFrequency (%)
ㆍ 9
100.0%
CJK
ValueCountFrequency (%)
舊 7
31.8%
區 6
27.3%
洞 5
22.7%
新 2
 
9.1%
詩 1
 
4.5%
市 1
 
4.5%
Number Forms
ValueCountFrequency (%)
Ⅲ 2
66.7%
Ⅰ 1
33.3%
Punctuation
ValueCountFrequency (%)
’ 1
100.0%
CJK Compat
ValueCountFrequency (%)
㎖ 1
100.0%

계약금액
Real number (ℝ)

Distinct6644
Distinct (%)66.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23325750
Minimum9
Maximum6.0057829 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T23:08:16.228680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile229960
Q11200000
median3460900
Q310001250
95-th percentile73163125
Maximum6.0057829 × 109
Range6.0057829 × 109
Interquartile range (IQR)8801250

Descriptive statistics

Standard deviation1.4031085 × 108
Coefficient of variation (CV)6.015277
Kurtosis554.28052
Mean23325750
Median Absolute Deviation (MAD)2860900
Skewness19.810585
Sum2.332575 × 1011
Variance1.9687133 × 1016
MonotonicityNot monotonic
2023-12-12T23:08:16.373651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
396000 37
 
0.4%
1200000 33
 
0.3%
264000 30
 
0.3%
1800000 28
 
0.3%
660000 25
 
0.2%
600000 25
 
0.2%
3000000 24
 
0.2%
550000 22
 
0.2%
440000 22
 
0.2%
220000 22
 
0.2%
Other values (6634) 9732
97.3%
ValueCountFrequency (%)
9 2
< 0.1%
600 1
< 0.1%
5410 1
< 0.1%
8800 1
< 0.1%
16670 1
< 0.1%
17160 1
< 0.1%
17300 1
< 0.1%
17770 1
< 0.1%
20000 2
< 0.1%
21840 1
< 0.1%
ValueCountFrequency (%)
6005782900 1
< 0.1%
3522824530 1
< 0.1%
3222264000 1
< 0.1%
3158538000 1
< 0.1%
3156000000 1
< 0.1%
3067822000 1
< 0.1%
3061491590 1
< 0.1%
2889281000 1
< 0.1%
2443639240 1
< 0.1%
2331700000 1
< 0.1%

계약일
Date

Distinct3203
Distinct (%)32.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2008-01-11 00:00:00
Maximum2022-12-31 00:00:00
2023-12-12T23:08:16.503709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:08:16.644575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

계약대상자
Text

Distinct3536
Distinct (%)35.4%
Missing1
Missing (%)< 0.1%
Memory size156.2 KiB
2023-12-12T23:08:16.837338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length23
Mean length7.2155216
Min length2

Characters and Unicode

Total characters72148
Distinct characters682
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2093 ?
Unique (%)20.9%

Sample

1st row(주)용현건설
2nd row주식회사 기준산업
3rd row부영종합상사
4th row현대모바일
5th row보임테크놀러지
ValueCountFrequency (%)
주식회사 1096
 
9.4%
청명정보 296
 
2.5%
주)한국문헌정보 146
 
1.3%
대구지방조달청 112
 
1.0%
동성광고사 94
 
0.8%
주)에스원 90
 
0.8%
영주카 70
 
0.6%
부분정비 70
 
0.6%
나래가구 67
 
0.6%
미형개발 66
 
0.6%
Other values (3633) 9525
81.9%
2023-12-12T23:08:17.231967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 5008
 
6.9%
) 3794
 
5.3%
( 3785
 
5.2%
사 2433
 
3.4%
1633
 
2.3%
회 1475
 
2.0%
이 1451
 
2.0%
스 1396
 
1.9%
식 1349
 
1.9%
대 1289
 
1.8%
Other values (672) 48535
67.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 61840
85.7%
Close Punctuation 3794
 
5.3%
Open Punctuation 3785
 
5.2%
Space Separator 1633
 
2.3%
Uppercase Letter 797
 
1.1%
Lowercase Letter 168
 
0.2%
Other Punctuation 53
 
0.1%
Decimal Number 48
 
0.1%
Dash Punctuation 19
 
< 0.1%
Other Symbol 10
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 5008
 
8.1%
사 2433
 
3.9%
회 1475
 
2.4%
이 1451
 
2.3%
스 1396
 
2.3%
식 1349
 
2.2%
대 1289
 
2.1%
기 927
 
1.5%
경 915
 
1.5%
한 913
 
1.5%
Other values (608) 44684
72.3%
Uppercase Letter
ValueCountFrequency (%)
E 106
13.3%
G 75
9.4%
N 74
9.3%
S 72
9.0%
C 67
 
8.4%
T 58
 
7.3%
M 46
 
5.8%
A 42
 
5.3%
I 40
 
5.0%
L 40
 
5.0%
Other values (13) 177
22.2%
Lowercase Letter
ValueCountFrequency (%)
e 26
15.5%
s 21
12.5%
a 15
8.9%
t 14
 
8.3%
o 12
 
7.1%
c 11
 
6.5%
p 10
 
6.0%
h 10
 
6.0%
r 7
 
4.2%
y 6
 
3.6%
Other values (12) 36
21.4%
Decimal Number
ValueCountFrequency (%)
2 14
29.2%
1 14
29.2%
4 7
14.6%
6 5
 
10.4%
0 2
 
4.2%
9 2
 
4.2%
8 2
 
4.2%
3 1
 
2.1%
7 1
 
2.1%
Other Punctuation
ValueCountFrequency (%)
& 29
54.7%
. 18
34.0%
, 4
 
7.5%
" 2
 
3.8%
Close Punctuation
ValueCountFrequency (%)
) 3794
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3785
100.0%
Space Separator
ValueCountFrequency (%)
1633
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 10
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 61850
85.7%
Common 9333
 
12.9%
Latin 965
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 5008
 
8.1%
사 2433
 
3.9%
회 1475
 
2.4%
이 1451
 
2.3%
스 1396
 
2.3%
식 1349
 
2.2%
대 1289
 
2.1%
기 927
 
1.5%
경 915
 
1.5%
한 913
 
1.5%
Other values (609) 44694
72.3%
Latin
ValueCountFrequency (%)
E 106
 
11.0%
G 75
 
7.8%
N 74
 
7.7%
S 72
 
7.5%
C 67
 
6.9%
T 58
 
6.0%
M 46
 
4.8%
A 42
 
4.4%
I 40
 
4.1%
L 40
 
4.1%
Other values (35) 345
35.8%
Common
ValueCountFrequency (%)
) 3794
40.7%
( 3785
40.6%
1633
17.5%
& 29
 
0.3%
- 19
 
0.2%
. 18
 
0.2%
2 14
 
0.2%
1 14
 
0.2%
4 7
 
0.1%
6 5
 
0.1%
Other values (8) 15
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 61840
85.7%
ASCII 10298
 
14.3%
None 10
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 5008
 
8.1%
사 2433
 
3.9%
회 1475
 
2.4%
이 1451
 
2.3%
스 1396
 
2.3%
식 1349
 
2.2%
대 1289
 
2.1%
기 927
 
1.5%
경 915
 
1.5%
한 913
 
1.5%
Other values (608) 44684
72.3%
ASCII
ValueCountFrequency (%)
) 3794
36.8%
( 3785
36.8%
1633
15.9%
E 106
 
1.0%
G 75
 
0.7%
N 74
 
0.7%
S 72
 
0.7%
C 67
 
0.7%
T 58
 
0.6%
M 46
 
0.4%
Other values (53) 588
 
5.7%
None
ValueCountFrequency (%)
㈜ 10
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

2023-12-12T23:08:17.375511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:08:17.473197image/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
Minimum2022-12-31 00:00:00
Maximum2022-12-31 00:00:00
2023-12-12T23:08:17.565048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:08:17.681521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T23:08:13.809670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:08:13.518442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:08:13.926201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:08:13.675668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T23:08:17.756617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호구분관서명계약금액
번호1.0000.2240.2080.027
구분0.2241.0000.3390.102
관서명0.2080.3391.0000.000
계약금액0.0270.1020.0001.000
2023-12-12T23:08:17.865782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분관서명
구분1.0000.166
관서명0.1661.000
2023-12-12T23:08:17.953458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호계약금액구분관서명
번호1.000-0.1730.1370.077
계약금액-0.1731.0000.0680.000
구분0.1370.0681.0000.166
관서명0.0770.0000.1661.000

Missing values

2023-12-12T23:08:14.056937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:08:14.230258image/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
1215412155공사본청신당절개지 외 6개소 급경사지 정비공사 시행186262602019-04-22(주)용현건설총무과2022-12-31
82438244물품본청등산로 내 보행매트 구입27900002020-07-23주식회사 기준산업총무과2022-12-31
3444334444물품본청가로수및 조경지 관리 물품 구입28600002011-02-25부영종합상사총무과2022-12-31
3552735528물품본청호산중학교 예정부지 체육시설 이동식화장실 구입24170002010-05-20현대모바일총무과2022-12-31
2375323754용역성당동2015년 3/4분기 주민등록증감별기 유지보수료990002015-07-01보임테크놀러지총무과2022-12-31
3018230183물품본청배꽃공원외 4개소 시설물 보수18310002013-02-12청운리모델링총무과2022-12-31
56415642물품본청대곡동 1108번지 공한지주차장 외1개소 정비공사 관급자재구입(메시형울타리)12720002021-04-21(주)남영휀스총무과2022-12-31
1389013891물품본청달서영어도서관 건립공사 관급자재(SMC물탱크) 제작구매101330002018-11-05한성엠엔에스총무과2022-12-31
37913792물품보건소구강보건실 운영을 위한 재료 구입비 지출61453202021-12-07조은이덴탈총무과2022-12-31
3144331444물품본청7월 공원화장실 관리용 방향제 구입4800002012-07-31향기마을사람들총무과2022-12-31
번호구분관서명계약명계약금액계약일계약대상자담당부서기준일자
1849818499물품본청관급자재구입 보차도 콘크리트블럭 (본리초등학교 앞 외 2개소 인도정비공사)287218002017-04-27(주)해성기업총무과2022-12-31
2544625447용역본청살포기 배터리 교체 및 수리8790002014-12-18이텍산업주식회사총무과2022-12-31
2246822469용역본청달서가족문화센터 건립공사 기본 및 실시설계용역 시행3690000002015-12-30건축사사무소 회림총무과2022-12-31
476477공사본청달서선사관·청소년문화의집 도시가스 계량기 설치 공사15652402022-11-29(주)가희에너지총무과2022-12-31
1202112022용역본청2019년 취약계층 에너지복지사업 실시설계54640002019-04-30주식회사 청이엔지총무과2022-12-31
1347913480물품본청성서613 외 7개소 CCTV 이전 설치 및 함체 수리86720002018-12-13오픈정보기술(주)총무과2022-12-31
2805628057용역본청별관 승강기 유지관리 용역15840002014-01-02(주)모든엘리베이터총무과2022-12-31
3715237153공사본청2009년 보안등(두류권) 보수공사717167002009-03-06엠제이전력총무과2022-12-31
14671468물품본청2022년도 탄소중립 지역리더 양성교육 자료 인쇄비 지출75680002022-07-22금강애드총무과2022-12-31
3385133852물품본청성서도서관 비도서자료(DVD, E-Book)구입40040002011-05-30라이브웍스총무과2022-12-31