Overview

Dataset statistics

Number of variables7
Number of observations5282
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory299.3 KiB
Average record size in memory58.0 B

Variable types

Numeric2
Categorical2
Text2
DateTime1

Dataset

Description인천광역시 계약정보공개시스템 계약현황(번호, 구분, 관서명, 계약명, 계약금액 등)에 관한 정보입니다. * 관련주소: https://gyeyak.incheon.go.kr/basis/situationList.do
Author인천광역시
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15066294&srcSe=7661IVAWM27C61E190

Alerts

번호 has unique valuesUnique

Reproduction

Analysis started2024-03-18 04:40:28.396147
Analysis finished2024-03-18 04:40:31.072993
Duration2.68 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct5282
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2641.5
Minimum1
Maximum5282
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size46.6 KiB
2024-03-18T13:40:31.135229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile265.05
Q11321.25
median2641.5
Q33961.75
95-th percentile5017.95
Maximum5282
Range5281
Interquartile range (IQR)2640.5

Descriptive statistics

Standard deviation1524.9264
Coefficient of variation (CV)0.57729562
Kurtosis-1.2
Mean2641.5
Median Absolute Deviation (MAD)1320.5
Skewness0
Sum13952403
Variance2325400.5
MonotonicityStrictly increasing
2024-03-18T13:40:31.267009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
3529 1
 
< 0.1%
3527 1
 
< 0.1%
3526 1
 
< 0.1%
3525 1
 
< 0.1%
3524 1
 
< 0.1%
3523 1
 
< 0.1%
3522 1
 
< 0.1%
3521 1
 
< 0.1%
3520 1
 
< 0.1%
Other values (5272) 5272
99.8%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
5282 1
< 0.1%
5281 1
< 0.1%
5280 1
< 0.1%
5279 1
< 0.1%
5278 1
< 0.1%
5277 1
< 0.1%
5276 1
< 0.1%
5275 1
< 0.1%
5274 1
< 0.1%
5273 1
< 0.1%

구분
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size41.4 KiB
물품
2570 
용역
1632 
공사
1080 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
물품 2570
48.7%
용역 1632
30.9%
공사 1080
20.4%

Length

2024-03-18T13:40:31.404838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T13:40:31.500630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
물품 2570
48.7%
용역 1632
30.9%
공사 1080
20.4%

관서명
Categorical

Distinct35
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size41.4 KiB
본청
1236 
종합건설본부
788 
소방본부
346 
보건환경연구원
318 
인천대공원사업소
281 
Other values (30)
2313 

Length

Max length15
Median length9
Mean length5.0692919
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
본청 1236
23.4%
종합건설본부 788
14.9%
소방본부 346
 
6.6%
보건환경연구원 318
 
6.0%
인천대공원사업소 281
 
5.3%
문화예술회관 195
 
3.7%
시립박물관 189
 
3.6%
미추홀도서관 184
 
3.5%
강화소방서 174
 
3.3%
월미공원사업소 136
 
2.6%
Other values (25) 1435
27.2%

Length

2024-03-18T13:40:31.613974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
본청 1236
23.4%
종합건설본부 788
14.9%
소방본부 346
 
6.6%
보건환경연구원 318
 
6.0%
인천대공원사업소 281
 
5.3%
문화예술회관 195
 
3.7%
시립박물관 189
 
3.6%
미추홀도서관 184
 
3.5%
강화소방서 174
 
3.3%
월미공원사업소 136
 
2.6%
Other values (25) 1435
27.2%

계약명
Text

Distinct5193
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size41.4 KiB
2024-03-18T13:40:31.842840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length50
Mean length27.450587
Min length4

Characters and Unicode

Total characters144994
Distinct characters803
Distinct categories16 ?
Distinct scripts4 ?
Distinct blocks9 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5139 ?
Unique (%)97.3%

Sample

1st row청사 시스템냉난방기 유지보수계약
2nd row2021년 인천광역시 업무정책포털시스템 유지관리 용역
3rd row2021년 인천대공원 물재이용시설(중수도) 유지보수 용역
4th row2021년 인천광역시 업무자동화 유지관리 용역
5th row2021년 시청사 승강기 유지보수 용역
ValueCountFrequency (%)
2021년 1079
 
3.9%
용역 643
 
2.3%
구매 620
 
2.2%
시행 614
 
2.2%
및 594
 
2.2%
구입 563
 
2.0%
2021년도 265
 
1.0%
공사 249
 
0.9%
등 248
 
0.9%
위한 220
 
0.8%
Other values (7155) 22472
81.5%
2024-03-18T13:40:32.248693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
22371
 
15.4%
2 5109
 
3.5%
사 3181
 
2.2%
1 3073
 
2.1%
구 2966
 
2.0%
공 2922
 
2.0%
0 2388
 
1.6%
) 2287
 
1.6%
( 2287
 
1.6%
시 2218
 
1.5%
Other values (793) 96192
66.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 101251
69.8%
Space Separator 22371
 
15.4%
Decimal Number 13270
 
9.2%
Close Punctuation 2483
 
1.7%
Open Punctuation 2481
 
1.7%
Uppercase Letter 1485
 
1.0%
Other Punctuation 534
 
0.4%
Dash Punctuation 437
 
0.3%
Lowercase Letter 385
 
0.3%
Connector Punctuation 150
 
0.1%
Other values (6) 147
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 3181
 
3.1%
구 2966
 
2.9%
공 2922
 
2.9%
시 2218
 
2.2%
관 1908
 
1.9%
기 1821
 
1.8%
년 1758
 
1.7%
용 1754
 
1.7%
역 1649
 
1.6%
도 1591
 
1.6%
Other values (700) 79483
78.5%
Uppercase Letter
ValueCountFrequency (%)
C 256
17.2%
S 139
 
9.4%
I 115
 
7.7%
E 95
 
6.4%
T 93
 
6.3%
P 89
 
6.0%
D 83
 
5.6%
L 77
 
5.2%
V 76
 
5.1%
F 73
 
4.9%
Other values (15) 389
26.2%
Lowercase Letter
ValueCountFrequency (%)
e 61
15.8%
o 39
10.1%
a 33
 
8.6%
i 33
 
8.6%
s 32
 
8.3%
t 25
 
6.5%
n 22
 
5.7%
k 20
 
5.2%
g 19
 
4.9%
m 17
 
4.4%
Other values (13) 84
21.8%
Decimal Number
ValueCountFrequency (%)
2 5109
38.5%
1 3073
23.2%
0 2388
18.0%
9 606
 
4.6%
3 471
 
3.5%
4 395
 
3.0%
5 328
 
2.5%
7 315
 
2.4%
8 293
 
2.2%
6 292
 
2.2%
Other Punctuation
ValueCountFrequency (%)
, 262
49.1%
· 153
28.7%
' 50
 
9.4%
. 44
 
8.2%
/ 14
 
2.6%
% 4
 
0.7%
" 4
 
0.7%
: 3
 
0.6%
Close Punctuation
ValueCountFrequency (%)
) 2287
92.1%
] 86
 
3.5%
」 58
 
2.3%
』 38
 
1.5%
］ 10
 
0.4%
】 4
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 2287
92.2%
[ 88
 
3.5%
「 59
 
2.4%
『 37
 
1.5%
［ 6
 
0.2%
【 4
 
0.2%
Other Number
ValueCountFrequency (%)
① 10
41.7%
② 7
29.2%
③ 5
20.8%
④ 2
 
8.3%
Math Symbol
ValueCountFrequency (%)
~ 111
94.1%
+ 4
 
3.4%
→ 3
 
2.5%
Letter Number
ValueCountFrequency (%)
Ⅳ 1
50.0%
Ⅴ 1
50.0%
Space Separator
ValueCountFrequency (%)
22371
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 437
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 150
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%
Initial Punctuation
ValueCountFrequency (%)
“ 1
100.0%
Final Punctuation
ValueCountFrequency (%)
” 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 101240
69.8%
Common 41871
28.9%
Latin 1872
 
1.3%
Han 11
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 3181
 
3.1%
구 2966
 
2.9%
공 2922
 
2.9%
시 2218
 
2.2%
관 1908
 
1.9%
기 1821
 
1.8%
년 1758
 
1.7%
용 1754
 
1.7%
역 1649
 
1.6%
도 1591
 
1.6%
Other values (694) 79472
78.5%
Latin
ValueCountFrequency (%)
C 256
 
13.7%
S 139
 
7.4%
I 115
 
6.1%
E 95
 
5.1%
T 93
 
5.0%
P 89
 
4.8%
D 83
 
4.4%
L 77
 
4.1%
V 76
 
4.1%
F 73
 
3.9%
Other values (40) 776
41.5%
Common
ValueCountFrequency (%)
22371
53.4%
2 5109
 
12.2%
1 3073
 
7.3%
0 2388
 
5.7%
) 2287
 
5.5%
( 2287
 
5.5%
9 606
 
1.4%
3 471
 
1.1%
- 437
 
1.0%
4 395
 
0.9%
Other values (33) 2447
 
5.8%
Han
ValueCountFrequency (%)
愛 5
45.5%
多 2
 
18.2%
作 1
 
9.1%
逆 1
 
9.1%
轉 1
 
9.1%
舊 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 101228
69.8%
ASCII 43343
29.9%
None 369
 
0.3%
Enclosed Alphanum 24
 
< 0.1%
Compat Jamo 12
 
< 0.1%
CJK 11
 
< 0.1%
Arrows 3
 
< 0.1%
Punctuation 2
 
< 0.1%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
22371
51.6%
2 5109
 
11.8%
1 3073
 
7.1%
0 2388
 
5.5%
) 2287
 
5.3%
( 2287
 
5.3%
9 606
 
1.4%
3 471
 
1.1%
- 437
 
1.0%
4 395
 
0.9%
Other values (65) 3919
 
9.0%
Hangul
ValueCountFrequency (%)
사 3181
 
3.1%
구 2966
 
2.9%
공 2922
 
2.9%
시 2218
 
2.2%
관 1908
 
1.9%
기 1821
 
1.8%
년 1758
 
1.7%
용 1754
 
1.7%
역 1649
 
1.6%
도 1591
 
1.6%
Other values (693) 79460
78.5%
None
ValueCountFrequency (%)
· 153
41.5%
「 59
 
16.0%
」 58
 
15.7%
』 38
 
10.3%
『 37
 
10.0%
］ 10
 
2.7%
［ 6
 
1.6%
】 4
 
1.1%
【 4
 
1.1%
Compat Jamo
ValueCountFrequency (%)
ㆍ 12
100.0%
Enclosed Alphanum
ValueCountFrequency (%)
① 10
41.7%
② 7
29.2%
③ 5
20.8%
④ 2
 
8.3%
CJK
ValueCountFrequency (%)
愛 5
45.5%
多 2
 
18.2%
作 1
 
9.1%
逆 1
 
9.1%
轉 1
 
9.1%
舊 1
 
9.1%
Arrows
ValueCountFrequency (%)
→ 3
100.0%
Punctuation
ValueCountFrequency (%)
“ 1
50.0%
” 1
50.0%
Number Forms
ValueCountFrequency (%)
Ⅳ 1
50.0%
Ⅴ 1
50.0%

계약금액
Real number (ℝ)

Distinct4309
Distinct (%)81.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean84729454
Minimum0
Maximum1.5126023 × 1010
Zeros27
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size46.6 KiB
2024-03-18T13:40:32.404678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1280550
Q14220750
median11226100
Q339833168
95-th percentile3.2776389 × 108
Maximum1.5126023 × 1010
Range1.5126023 × 1010
Interquartile range (IQR)35612418

Descriptive statistics

Standard deviation4.3146835 × 108
Coefficient of variation (CV)5.0923065
Kurtosis463.53668
Mean84729454
Median Absolute Deviation (MAD)8463900
Skewness18.391194
Sum4.4754097 × 1011
Variance1.8616493 × 1017
MonotonicityNot monotonic
2024-03-18T13:40:32.524128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 27
 
0.5%
3000000 25
 
0.5%
3300000 15
 
0.3%
9500000 14
 
0.3%
9900000 12
 
0.2%
3500000 12
 
0.2%
19000000 12
 
0.2%
2640000 12
 
0.2%
4950000 11
 
0.2%
7200000 9
 
0.2%
Other values (4299) 5133
97.2%
ValueCountFrequency (%)
0 27
0.5%
61600 1
 
< 0.1%
67500 1
 
< 0.1%
86900 1
 
< 0.1%
90000 1
 
< 0.1%
100540 1
 
< 0.1%
113000 1
 
< 0.1%
114000 1
 
< 0.1%
136500 1
 
< 0.1%
144000 1
 
< 0.1%
ValueCountFrequency (%)
15126022700 1
< 0.1%
10245400000 1
< 0.1%
8956700000 1
< 0.1%
8684063000 1
< 0.1%
8328000000 1
< 0.1%
7760565000 1
< 0.1%
4959086000 1
< 0.1%
4916751000 1
< 0.1%
4834951000 1
< 0.1%
4448917000 1
< 0.1%

계약일
Date

Distinct257
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size41.4 KiB
Minimum2021-01-01 00:00:00
Maximum2021-12-31 00:00:00
2024-03-18T13:40:32.660075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T13:40:32.815822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

계약상대자
Text

Distinct2641
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Memory size41.4 KiB
2024-03-18T13:40:33.025989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length19
Mean length7.9558879
Min length2

Characters and Unicode

Total characters42023
Distinct characters627
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1880 ?
Unique (%)35.6%

Sample

1st row하이엠솔루텍주식회사
2nd row주식회사 엑소텍
3rd row해성엔지니어링
4th row주식회사 하이퍼정보
5th row상원엘리베이터(주)
ValueCountFrequency (%)
주식회사 748
 
11.8%
인천지방조달청 557
 
8.8%
서인아스콘사업협동조합 52
 
0.8%
주)라온케이디 48
 
0.8%
에스지이 35
 
0.6%
경인레미콘사업협동조합 35
 
0.6%
주)그린주의 28
 
0.4%
헬스앤케어 23
 
0.4%
여문이엔씨 22
 
0.3%
부평tms 21
 
0.3%
Other values (2703) 4766
75.2%
2024-03-18T13:40:33.363884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 3160
 
7.5%
) 2283
 
5.4%
( 2279
 
5.4%
사 1484
 
3.5%
이 1271
 
3.0%
인 1148
 
2.7%
1053
 
2.5%
지 1031
 
2.5%
회 994
 
2.4%
스 978
 
2.3%
Other values (617) 26342
62.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 35897
85.4%
Close Punctuation 2283
 
5.4%
Open Punctuation 2279
 
5.4%
Space Separator 1053
 
2.5%
Uppercase Letter 280
 
0.7%
Lowercase Letter 118
 
0.3%
Decimal Number 57
 
0.1%
Other Punctuation 29
 
0.1%
Other Symbol 9
 
< 0.1%
Dash Punctuation 9
 
< 0.1%
Other values (2) 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 3160
 
8.8%
사 1484
 
4.1%
이 1271
 
3.5%
인 1148
 
3.2%
지 1031
 
2.9%
회 994
 
2.8%
스 978
 
2.7%
식 926
 
2.6%
조 799
 
2.2%
천 678
 
1.9%
Other values (558) 23428
65.3%
Uppercase Letter
ValueCountFrequency (%)
T 42
15.0%
M 37
13.2%
S 33
11.8%
A 20
 
7.1%
E 18
 
6.4%
N 18
 
6.4%
C 18
 
6.4%
O 17
 
6.1%
B 13
 
4.6%
K 13
 
4.6%
Other values (11) 51
18.2%
Lowercase Letter
ValueCountFrequency (%)
e 15
12.7%
i 15
12.7%
c 14
11.9%
a 12
10.2%
o 11
9.3%
s 10
8.5%
n 8
6.8%
h 8
6.8%
l 6
 
5.1%
t 5
 
4.2%
Other values (7) 14
11.9%
Decimal Number
ValueCountFrequency (%)
1 16
28.1%
2 12
21.1%
8 9
15.8%
3 5
 
8.8%
0 3
 
5.3%
4 3
 
5.3%
9 3
 
5.3%
5 3
 
5.3%
6 2
 
3.5%
7 1
 
1.8%
Other Punctuation
ValueCountFrequency (%)
. 17
58.6%
& 7
24.1%
/ 5
 
17.2%
Math Symbol
ValueCountFrequency (%)
< 3
50.0%
> 3
50.0%
Close Punctuation
ValueCountFrequency (%)
) 2283
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2279
100.0%
Space Separator
ValueCountFrequency (%)
1053
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 9
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 35906
85.4%
Common 5719
 
13.6%
Latin 398
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 3160
 
8.8%
사 1484
 
4.1%
이 1271
 
3.5%
인 1148
 
3.2%
지 1031
 
2.9%
회 994
 
2.8%
스 978
 
2.7%
식 926
 
2.6%
조 799
 
2.2%
천 678
 
1.9%
Other values (559) 23437
65.3%
Latin
ValueCountFrequency (%)
T 42
 
10.6%
M 37
 
9.3%
S 33
 
8.3%
A 20
 
5.0%
E 18
 
4.5%
N 18
 
4.5%
C 18
 
4.5%
O 17
 
4.3%
e 15
 
3.8%
i 15
 
3.8%
Other values (28) 165
41.5%
Common
ValueCountFrequency (%)
) 2283
39.9%
( 2279
39.8%
1053
18.4%
. 17
 
0.3%
1 16
 
0.3%
2 12
 
0.2%
- 9
 
0.2%
8 9
 
0.2%
& 7
 
0.1%
/ 5
 
0.1%
Other values (10) 29
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 35896
85.4%
ASCII 6117
 
14.6%
None 9
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 3160
 
8.8%
사 1484
 
4.1%
이 1271
 
3.5%
인 1148
 
3.2%
지 1031
 
2.9%
회 994
 
2.8%
스 978
 
2.7%
식 926
 
2.6%
조 799
 
2.2%
천 678
 
1.9%
Other values (557) 23427
65.3%
ASCII
ValueCountFrequency (%)
) 2283
37.3%
( 2279
37.3%
1053
17.2%
T 42
 
0.7%
M 37
 
0.6%
S 33
 
0.5%
A 20
 
0.3%
E 18
 
0.3%
N 18
 
0.3%
C 18
 
0.3%
Other values (48) 316
 
5.2%
None
ValueCountFrequency (%)
㈜ 9
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅐ 1
100.0%

Interactions

2024-03-18T13:40:30.667686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T13:40:30.440541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T13:40:30.773051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T13:40:30.568894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-18T13:40:33.445625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호구분관서명계약금액
번호1.0000.2840.3690.040
구분0.2841.0000.4600.054
관서명0.3690.4601.0000.125
계약금액0.0400.0540.1251.000
2024-03-18T13:40:33.529903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분관서명
구분1.0000.260
관서명0.2601.000
2024-03-18T13:40:33.601193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호계약금액구분관서명
번호1.000-0.0520.1770.135
계약금액-0.0521.0000.0360.047
구분0.1770.0361.0000.260
관서명0.1350.0470.2601.000

Missing values

2024-03-18T13:40:30.901421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-18T13:40:31.010380image/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

번호구분관서명계약명계약금액계약일계약상대자
01용역남동소방서청사 시스템냉난방기 유지보수계약14580002021-01-01하이엠솔루텍주식회사
12용역본청2021년 인천광역시 업무정책포털시스템 유지관리 용역1715000002021-01-01주식회사 엑소텍
23용역인천대공원사업소2021년 인천대공원 물재이용시설(중수도) 유지보수 용역20370002021-01-01해성엔지니어링
34용역본청2021년 인천광역시 업무자동화 유지관리 용역597800002021-01-01주식회사 하이퍼정보
45용역본청2021년 시청사 승강기 유지보수 용역120000002021-01-01상원엘리베이터(주)
56용역본청2021년 지능형교통시스템 유지관리 용역5931529602021-01-01주식회사 코스모비전
67용역본청2021년 교통행정종합관리시스템 유지관리 용역1292901102021-01-01주식회사 브랜드콘텐츠
78용역본청2021년 승용차요일제 시스템 통합유지관리 용역840694802021-01-01(주)월드넷코리아
89용역본청2021년 단순무임카드 발급관리시스템 운영 및 관리 용역675000002021-01-01주식회사 체인시큐어
910용역본청2021년 교통신호제어시스템 유지보수 용역6883482102021-01-01진우산전(주)
번호구분관서명계약명계약금액계약일계약상대자
52725273용역농업기술센터2022년 전기안전관리대행 용역73320002021-12-31(주)신창전기기술단
52735274용역농업기술센터2022년 소방안전관리대행 용역34770002021-12-31(주)한국소방엔지니어링
52745275용역농업기술센터2022년 행정통신장비 유지보수 용역74400002021-12-31한별정보통신
52755276용역농업기술센터2022년 승강기 유지관리 용역17925602021-12-31영진엘리베이터(주)
52765277용역농업기술센터2022년도 농기계 임대사업관리 프로그램 유지보수 용역22860002021-12-31주식회사 하딘
52775278용역도시철도건설본부2022년 정보통신장비 유지보수 용역30000002021-12-31대신네트웍스(주)
52785279용역도시철도건설본부2022년 전산장비 유지보수 용역81600002021-12-31(주)아라정보
52795280용역도시철도건설본부2022년 행정전화기 소독 용역18360002021-12-31대아 Bio Clean
52805281물품의회사무처인천광역시의회 소식지 2022년 『인천애의회』 제작 및 발송 사업990000002021-12-31웨스트코 주식회사
52815282물품종합건설본부[지출품의]관급자재(H형강-추가) 구입(222148357800)553988902021-12-31자운철강