Overview

Dataset statistics

Number of variables6
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows4
Duplicate rows (%)< 0.1%
Total size in memory556.6 KiB
Average record size in memory57.0 B

Variable types

Categorical2
Text3
Numeric1

Dataset

Description계약정보공개시스템 계약대장에 대한 데이터로 계약 구분, 관서명, 계약명, 계약금액, 계약일, 계약대상자 등의 데이터를 제공합니다.
Author부산광역시 중구
URLhttps://www.data.go.kr/data/15039586/fileData.do

Alerts

Dataset has 4 (< 0.1%) duplicate rowsDuplicates
관서명 is highly imbalanced (70.3%)Imbalance

Reproduction

Analysis started2023-12-12 20:24:25.547334
Analysis finished2023-12-12 20:24:27.460886
Duration1.91 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

계약종류
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
물품
7020 
용역
1817 
공사
1163 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
물품 7020
70.2%
용역 1817
 
18.2%
공사 1163
 
11.6%

Length

2023-12-13T05:24:27.553512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:24:27.683626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
물품 7020
70.2%
용역 1817
 
18.2%
공사 1163
 
11.6%

관서명
Categorical

IMBALANCE 

Distinct14
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
본청
8139 
보건소
1125 
남포동
 
96
문화시설관리사업소
 
81
시설관리사업소
 
74
Other values (9)
 
485

Length

Max length9
Median length2
Mean length2.2671
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
본청 8139
81.4%
보건소 1125
 
11.2%
남포동 96
 
1.0%
문화시설관리사업소 81
 
0.8%
시설관리사업소 74
 
0.7%
부평동 73
 
0.7%
대청동 69
 
0.7%
의회 67
 
0.7%
보수동 57
 
0.6%
영주2동 53
 
0.5%
Other values (4) 166
 
1.7%

Length

2023-12-13T05:24:27.808327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
본청 8139
81.4%
보건소 1125
 
11.2%
남포동 96
 
1.0%
문화시설관리사업소 81
 
0.8%
시설관리사업소 74
 
0.7%
부평동 73
 
0.7%
대청동 69
 
0.7%
의회 67
 
0.7%
보수동 57
 
0.6%
영주2동 53
 
0.5%
Other values (4) 166
 
1.7%

계약명
Text

Distinct9003
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T05:24:28.229919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length37
Mean length20.2001
Min length4

Characters and Unicode

Total characters202001
Distinct characters887
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8549 ?
Unique (%)85.5%

Sample

1st row장애인전용주차구역 주차표지 구입
2nd row일반인 응급처치 교육장비 구입
3rd row평생학습관 물품 구입(다기능복사기)
4th row프린터 토너 구입
5th row대청동4가 2-89번지 외 7개소 도로시설물 정비공사
ValueCountFrequency (%)
구입 2471
 
6.0%
제작 1281
 
3.1%
및 800
 
1.9%
일원 505
 
1.2%
등 453
 
1.1%
구매 335
 
0.8%
설치 313
 
0.8%
용역 293
 
0.7%
정비공사 242
 
0.6%
교체 235
 
0.6%
Other values (10605) 34473
83.3%
2023-12-13T05:24:28.800433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
31540
 
15.6%
구 5455
 
2.7%
사 4754
 
2.4%
입 3475
 
1.7%
공 3401
 
1.7%
( 3090
 
1.5%
) 3026
 
1.5%
수 2432
 
1.2%
관 2426
 
1.2%
제 2419
 
1.2%
Other values (877) 139983
69.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 150341
74.4%
Space Separator 31540
 
15.6%
Decimal Number 8973
 
4.4%
Open Punctuation 3234
 
1.6%
Close Punctuation 3169
 
1.6%
Uppercase Letter 2252
 
1.1%
Other Punctuation 1083
 
0.5%
Dash Punctuation 946
 
0.5%
Lowercase Letter 294
 
0.1%
Connector Punctuation 91
 
< 0.1%
Other values (3) 78
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 5455
 
3.6%
사 4754
 
3.2%
입 3475
 
2.3%
공 3401
 
2.3%
수 2432
 
1.6%
관 2426
 
1.6%
제 2419
 
1.6%
기 2336
 
1.6%
보 2153
 
1.4%
자 2091
 
1.4%
Other values (783) 119399
79.4%
Uppercase Letter
ValueCountFrequency (%)
C 277
12.3%
E 210
9.3%
D 209
9.3%
T 191
8.5%
P 186
8.3%
F 181
8.0%
L 172
7.6%
V 165
 
7.3%
S 124
 
5.5%
I 122
 
5.4%
Other values (14) 415
18.4%
Lowercase Letter
ValueCountFrequency (%)
a 37
12.6%
t 28
 
9.5%
o 27
 
9.2%
i 24
 
8.2%
p 18
 
6.1%
e 18
 
6.1%
s 16
 
5.4%
c 15
 
5.1%
r 14
 
4.8%
y 12
 
4.1%
Other values (14) 85
28.9%
Other Punctuation
ValueCountFrequency (%)
, 447
41.3%
. 272
25.1%
· 125
 
11.5%
" 119
 
11.0%
/ 70
 
6.5%
: 15
 
1.4%
' 14
 
1.3%
* 6
 
0.6%
& 4
 
0.4%
# 4
 
0.4%
Other values (5) 7
 
0.6%
Decimal Number
ValueCountFrequency (%)
2 2367
26.4%
1 1851
20.6%
0 1822
20.3%
3 615
 
6.9%
4 609
 
6.8%
5 443
 
4.9%
9 358
 
4.0%
8 331
 
3.7%
6 302
 
3.4%
7 275
 
3.1%
Open Punctuation
ValueCountFrequency (%)
( 3090
95.5%
「 79
 
2.4%
[ 33
 
1.0%
『 31
 
1.0%
〈 1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 3026
95.5%
」 79
 
2.5%
] 33
 
1.0%
』 30
 
0.9%
〉 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 55
80.9%
+ 4
 
5.9%
> 4
 
5.9%
< 4
 
5.9%
× 1
 
1.5%
Letter Number
ValueCountFrequency (%)
Ⅰ 1
50.0%
Ⅱ 1
50.0%
Space Separator
ValueCountFrequency (%)
31540
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 946
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 91
100.0%
Modifier Symbol
ValueCountFrequency (%)
˙ 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 150337
74.4%
Common 49119
 
24.3%
Latin 2541
 
1.3%
Han 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 5455
 
3.6%
사 4754
 
3.2%
입 3475
 
2.3%
공 3401
 
2.3%
수 2432
 
1.6%
관 2426
 
1.6%
제 2419
 
1.6%
기 2336
 
1.6%
보 2153
 
1.4%
자 2091
 
1.4%
Other values (779) 119395
79.4%
Latin
ValueCountFrequency (%)
C 277
 
10.9%
E 210
 
8.3%
D 209
 
8.2%
T 191
 
7.5%
P 186
 
7.3%
F 181
 
7.1%
L 172
 
6.8%
V 165
 
6.5%
S 124
 
4.9%
I 122
 
4.8%
Other values (39) 704
27.7%
Common
ValueCountFrequency (%)
31540
64.2%
( 3090
 
6.3%
) 3026
 
6.2%
2 2367
 
4.8%
1 1851
 
3.8%
0 1822
 
3.7%
- 946
 
1.9%
3 615
 
1.3%
4 609
 
1.2%
, 447
 
0.9%
Other values (35) 2806
 
5.7%
Han
ValueCountFrequency (%)
大 1
25.0%
我 1
25.0%
無 1
25.0%
舊 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 150336
74.4%
ASCII 51294
 
25.4%
None 349
 
0.2%
Modifier Letters 8
 
< 0.1%
Letterlike Symbols 7
 
< 0.1%
CJK 4
 
< 0.1%
Number Forms 2
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
31540
61.5%
( 3090
 
6.0%
) 3026
 
5.9%
2 2367
 
4.6%
1 1851
 
3.6%
0 1822
 
3.6%
- 946
 
1.8%
3 615
 
1.2%
4 609
 
1.2%
, 447
 
0.9%
Other values (70) 4981
 
9.7%
Hangul
ValueCountFrequency (%)
구 5455
 
3.6%
사 4754
 
3.2%
입 3475
 
2.3%
공 3401
 
2.3%
수 2432
 
1.6%
관 2426
 
1.6%
제 2419
 
1.6%
기 2336
 
1.6%
보 2153
 
1.4%
자 2091
 
1.4%
Other values (778) 119394
79.4%
None
ValueCountFrequency (%)
· 125
35.8%
」 79
22.6%
「 79
22.6%
『 31
 
8.9%
』 30
 
8.6%
〉 1
 
0.3%
〈 1
 
0.3%
Ø 1
 
0.3%
． 1
 
0.3%
× 1
 
0.3%
Modifier Letters
ValueCountFrequency (%)
˙ 8
100.0%
Letterlike Symbols
ValueCountFrequency (%)
ℓ 7
100.0%
Number Forms
ValueCountFrequency (%)
Ⅰ 1
50.0%
Ⅱ 1
50.0%
CJK
ValueCountFrequency (%)
大 1
25.0%
我 1
25.0%
無 1
25.0%
舊 1
25.0%
Compat Jamo
ValueCountFrequency (%)
ㅂ 1
100.0%

계약금액
Real number (ℝ)

Distinct5486
Distinct (%)54.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12581604
Minimum0
Maximum1.9736 × 109
Zeros50
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T05:24:28.985892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile55000
Q1495000
median2205525
Q37943852.5
95-th percentile38476450
Maximum1.9736 × 109
Range1.9736 × 109
Interquartile range (IQR)7448852.5

Descriptive statistics

Standard deviation64035947
Coefficient of variation (CV)5.0896488
Kurtosis350.12041
Mean12581604
Median Absolute Deviation (MAD)2002275
Skewness16.402448
Sum1.2581604 × 1011
Variance4.1006025 × 1015
MonotonicityNot monotonic
2023-12-13T05:24:29.170198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1800000 72
 
0.7%
440000 59
 
0.6%
330000 57
 
0.6%
990000 57
 
0.6%
110000 55
 
0.5%
0 50
 
0.5%
660000 49
 
0.5%
220000 49
 
0.5%
550000 47
 
0.5%
66000 46
 
0.5%
Other values (5476) 9459
94.6%
ValueCountFrequency (%)
0 50
0.5%
1880 1
 
< 0.1%
4110 1
 
< 0.1%
4620 1
 
< 0.1%
5500 1
 
< 0.1%
7000 1
 
< 0.1%
8000 3
 
< 0.1%
8800 3
 
< 0.1%
9200 1
 
< 0.1%
10400 2
 
< 0.1%
ValueCountFrequency (%)
1973600000 1
< 0.1%
1785000000 1
< 0.1%
1649276000 1
< 0.1%
1531703060 1
< 0.1%
1500523000 1
< 0.1%
1257652000 1
< 0.1%
1162940000 1
< 0.1%
1139650360 1
< 0.1%
1117596000 1
< 0.1%
1117107000 1
< 0.1%

계약일
Text

Distinct3463
Distinct (%)34.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T05:24:29.478033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9.9604
Min length8

Characters and Unicode

Total characters99604
Distinct characters15
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1064 ?
Unique (%)10.6%

Sample

1st row2017-01-10
2nd row2016-10-13
3rd row2019-08-06
4th row2009-06-30
5th row2008-12-30
ValueCountFrequency (%)
null 198
 
2.0%
2013-03-06 16
 
0.2%
2008-12-29 16
 
0.2%
2008-12-26 16
 
0.2%
2013-12-26 14
 
0.1%
2010-12-24 14
 
0.1%
2008-12-30 14
 
0.1%
2010-12-23 14
 
0.1%
2010-06-11 14
 
0.1%
2010-12-29 14
 
0.1%
Other values (3453) 9670
96.7%
2023-12-13T05:24:30.009117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 24203
24.3%
- 19604
19.7%
2 18888
19.0%
1 16218
16.3%
3 3339
 
3.4%
9 3187
 
3.2%
8 2963
 
3.0%
6 2516
 
2.5%
4 2486
 
2.5%
5 2318
 
2.3%
Other values (5) 3882
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 78416
78.7%
Dash Punctuation 19604
 
19.7%
Space Separator 792
 
0.8%
Lowercase Letter 792
 
0.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 24203
30.9%
2 18888
24.1%
1 16218
20.7%
3 3339
 
4.3%
9 3187
 
4.1%
8 2963
 
3.8%
6 2516
 
3.2%
4 2486
 
3.2%
5 2318
 
3.0%
7 2298
 
2.9%
Lowercase Letter
ValueCountFrequency (%)
l 396
50.0%
n 198
25.0%
u 198
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 19604
100.0%
Space Separator
ValueCountFrequency (%)
792
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 98812
99.2%
Latin 792
 
0.8%

Most frequent character per script

Common
ValueCountFrequency (%)
0 24203
24.5%
- 19604
19.8%
2 18888
19.1%
1 16218
16.4%
3 3339
 
3.4%
9 3187
 
3.2%
8 2963
 
3.0%
6 2516
 
2.5%
4 2486
 
2.5%
5 2318
 
2.3%
Other values (2) 3090
 
3.1%
Latin
ValueCountFrequency (%)
l 396
50.0%
n 198
25.0%
u 198
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 99604
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 24203
24.3%
- 19604
19.7%
2 18888
19.0%
1 16218
16.3%
3 3339
 
3.4%
9 3187
 
3.2%
8 2963
 
3.0%
6 2516
 
2.5%
4 2486
 
2.5%
5 2318
 
2.3%
Other values (5) 3882
 
3.9%

계약대상자
Text

Distinct3155
Distinct (%)31.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T05:24:30.347312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length18
Mean length7.1265
Min length2

Characters and Unicode

Total characters71265
Distinct characters664
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

Unique1863 ?
Unique (%)18.6%

Sample

1st row시흥용산촌안흥합성 주식회사
2nd row(주)비티
3rd row(주)신도리코
4th row모든오피스
5th row해선건설(주)
ValueCountFrequency (%)
주식회사 660
 
5.9%
한일인쇄사 189
 
1.7%
부산지방조달청 185
 
1.7%
중앙광고기업 169
 
1.5%
동성인쇄사 145
 
1.3%
모든오피스 73
 
0.7%
너울광고기획 71
 
0.6%
주)부영개발 70
 
0.6%
부산레미콘공업(협 68
 
0.6%
주)삼창에스씨 65
 
0.6%
Other values (3223) 9409
84.7%
2023-12-13T05:24:30.897472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 4619
 
6.5%
) 3759
 
5.3%
( 3742
 
5.3%
사 2731
 
3.8%
산 1462
 
2.1%
스 1360
 
1.9%
이 1351
 
1.9%
인 1191
 
1.7%
기 1139
 
1.6%
1112
 
1.6%
Other values (654) 48799
68.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 61534
86.3%
Close Punctuation 3761
 
5.3%
Open Punctuation 3745
 
5.3%
Space Separator 1112
 
1.6%
Uppercase Letter 903
 
1.3%
Lowercase Letter 80
 
0.1%
Other Punctuation 70
 
0.1%
Decimal Number 40
 
0.1%
Dash Punctuation 10
 
< 0.1%
Connector Punctuation 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 4619
 
7.5%
사 2731
 
4.4%
산 1462
 
2.4%
스 1360
 
2.2%
이 1351
 
2.2%
인 1191
 
1.9%
기 1139
 
1.9%
부 1090
 
1.8%
회 1081
 
1.8%
지 1048
 
1.7%
Other values (592) 44462
72.3%
Uppercase Letter
ValueCountFrequency (%)
S 126
14.0%
T 104
11.5%
O 100
11.1%
M 94
10.4%
L 65
 
7.2%
E 61
 
6.8%
N 43
 
4.8%
A 43
 
4.8%
J 41
 
4.5%
C 37
 
4.1%
Other values (13) 189
20.9%
Lowercase Letter
ValueCountFrequency (%)
b 14
17.5%
g 9
11.2%
e 8
10.0%
i 8
10.0%
t 7
8.8%
c 7
8.8%
d 5
 
6.2%
n 5
 
6.2%
o 4
 
5.0%
s 3
 
3.8%
Other values (7) 10
12.5%
Decimal Number
ValueCountFrequency (%)
2 9
22.5%
1 7
17.5%
6 7
17.5%
5 5
12.5%
3 5
12.5%
9 4
10.0%
0 2
 
5.0%
4 1
 
2.5%
Other Punctuation
ValueCountFrequency (%)
. 50
71.4%
& 17
 
24.3%
, 2
 
2.9%
? 1
 
1.4%
Close Punctuation
ValueCountFrequency (%)
) 3759
99.9%
） 1
 
< 0.1%
] 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 3742
99.9%
（ 2
 
0.1%
[ 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
1112
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 8
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 61536
86.3%
Common 8746
 
12.3%
Latin 983
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 4619
 
7.5%
사 2731
 
4.4%
산 1462
 
2.4%
스 1360
 
2.2%
이 1351
 
2.2%
인 1191
 
1.9%
기 1139
 
1.9%
부 1090
 
1.8%
회 1081
 
1.8%
지 1048
 
1.7%
Other values (593) 44464
72.3%
Latin
ValueCountFrequency (%)
S 126
12.8%
T 104
 
10.6%
O 100
 
10.2%
M 94
 
9.6%
L 65
 
6.6%
E 61
 
6.2%
N 43
 
4.4%
A 43
 
4.4%
J 41
 
4.2%
C 37
 
3.8%
Other values (30) 269
27.4%
Common
ValueCountFrequency (%)
) 3759
43.0%
( 3742
42.8%
1112
 
12.7%
. 50
 
0.6%
& 17
 
0.2%
- 10
 
0.1%
2 9
 
0.1%
_ 8
 
0.1%
1 7
 
0.1%
6 7
 
0.1%
Other values (11) 25
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 61534
86.3%
ASCII 9726
 
13.6%
None 5
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 4619
 
7.5%
사 2731
 
4.4%
산 1462
 
2.4%
스 1360
 
2.2%
이 1351
 
2.2%
인 1191
 
1.9%
기 1139
 
1.9%
부 1090
 
1.8%
회 1081
 
1.8%
지 1048
 
1.7%
Other values (592) 44462
72.3%
ASCII
ValueCountFrequency (%)
) 3759
38.6%
( 3742
38.5%
1112
 
11.4%
S 126
 
1.3%
T 104
 
1.1%
O 100
 
1.0%
M 94
 
1.0%
L 65
 
0.7%
E 61
 
0.6%
. 50
 
0.5%
Other values (49) 513
 
5.3%
None
ValueCountFrequency (%)
㈜ 2
40.0%
（ 2
40.0%
） 1
20.0%

Interactions

2023-12-13T05:24:27.038239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T05:24:31.026333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
계약종류관서명계약금액
계약종류1.0000.2830.240
관서명0.2831.0000.000
계약금액0.2400.0001.000
2023-12-13T05:24:31.149504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
계약종류관서명
계약종류1.0000.163
관서명0.1631.000
2023-12-13T05:24:31.258059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
계약금액계약종류관서명
계약금액1.0000.1470.000
계약종류0.1471.0000.163
관서명0.0000.1631.000

Missing values

2023-12-13T05:24:27.258195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T05:24:27.385931image/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

계약종류관서명계약명계약금액계약일계약대상자
6617물품본청장애인전용주차구역 주차표지 구입5211502017-01-10시흥용산촌안흥합성 주식회사
2319물품보건소일반인 응급처치 교육장비 구입56000002016-10-13(주)비티
22800물품본청평생학습관 물품 구입(다기능복사기)8800002019-08-06(주)신도리코
349물품의회프린터 토너 구입1343002009-06-30모든오피스
12952공사본청대청동4가 2-89번지 외 7개소 도로시설물 정비공사146240002008-12-30해선건설(주)
16227물품본청백산기념관 안내 팜플렛 제작8500002012-07-26동성당인쇄사
19650물품본청각티슈 구입1800002011-12-28새희망의쉼터
8769물품본청맨홀뚜껑 구매(스틸그레이팅)72000002015-06-05성지기업
1994물품보건소중구복합건강센터 정보통신공사 관급자재(영사용스크린) 구매02019-07-26(주)카스피
4639물품보건소치매관리사업 홍보물품 구입(파스)32100002015-02-06정민약품
계약종류관서명계약명계약금액계약일계약대상자
11700물품본청부속실 운영물품 구입520002017-09-14부산우유보수보급소
17768용역본청용두산·자갈치 관광특구 구 경계도 정비30400002023-11-01장안전기
17284공사본청중앙대로 117일원 외 1개소 하수관거정비공사624280002016-04-18오주건설(합)
23610물품보건소치매환자 조호물품(미끄럼방지매트) 구입43500002021-09-02다우메디칼
26045공사본청국제지하상가 일원 노후 하수암거 정비공사3365710002017-12-15애니건설(주)
14011물품본청환경자원관리소 노후 선별장비 교체160061502019-04-25상록개발
10879물품보건소방역소독용 유류구입15511002008-11-07제일주유소
19366물품본청전산장비(PC)수리용 소모품 구입2970002009-06-12(주)오경정보기술 김희주
18660물품본청의자 구입4620002010-09-27동영OA퍼니처
8780물품본청구청사용 전기자재 구매40000002020-03-12(주)거제전기물류

Duplicate rows

Most frequently occurring

계약종류관서명계약명계약금액계약일계약대상자# duplicates
0물품대청동현수막 등 구입1320002010-02-16부산광고기획2
1물품본청사회복무요원 피복 구입273000null주식회사 이든2
2물품본청캐비넷 수리110002010-07-20만능공업사2
3물품본청폭염 저감 스마트그늘막 설치228000002022-07-20(주)대상디자인2