Overview

Dataset statistics

Number of variables6
Number of observations3846
Missing cells0
Missing cells (%)0.0%
Duplicate rows4
Duplicate rows (%)0.1%
Total size in memory180.4 KiB
Average record size in memory48.0 B

Variable types

Categorical1
Text4
DateTime1

Dataset

Description전북특별자치도 장수군에서 계약한 계약 현황(계약종류, 계약명, 계약일자, 계약금액, 계약내용)에 대한 데이터 정보를 제공하고자 합니다
Author전북특별자치도 장수군
URLhttps://www.data.go.kr/data/15063588/fileData.do

Alerts

Dataset has 4 (0.1%) duplicate rowsDuplicates

Reproduction

Analysis started2024-04-06 08:05:41.288817
Analysis finished2024-04-06 08:05:43.301258
Duration2.01 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

계약종류
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size30.2 KiB
물품
2109 
공사
952 
용역
785 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
물품 2109
54.8%
공사 952
24.8%
용역 785
 
20.4%

Length

2024-04-06T17:05:43.429842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:05:43.632909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
물품 2109
54.8%
공사 952
24.8%
용역 785
 
20.4%
Distinct3735
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size30.2 KiB
2024-04-06T17:05:44.076854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length167
Median length46
Mean length26.142486
Min length6

Characters and Unicode

Total characters100544
Distinct characters669
Distinct categories14 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3655 ?
Unique (%)95.0%

Sample

1st row장계지구(장계배수지)농어촌생활용수개발사업-스틸그레이팅
2nd row가로등 보수자재 구입
3rd row장수레드푸드융복합센터 진입도로(군도12호)개설공사
4th row2023년 설해대책 장비 임차(15톤덤프)1월
5th row경리팀 복사기 임대차계약 체결
ValueCountFrequency (%)
2023년 893
 
5.3%
관급자재 450
 
2.7%
437
 
2.6%
용역 275
 
1.6%
장수군 240
 
1.4%
구입 219
 
1.3%
장수 196
 
1.2%
시행 181
 
1.1%
정비사업 175
 
1.0%
157
 
0.9%
Other values (4542) 13547
80.8%
2024-04-06T17:05:45.475726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13419
 
13.3%
3470
 
3.5%
( 2789
 
2.8%
) 2787
 
2.8%
2404
 
2.4%
2 2361
 
2.3%
1983
 
2.0%
1900
 
1.9%
1815
 
1.8%
1673
 
1.7%
Other values (659) 65943
65.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 73761
73.4%
Space Separator 13419
 
13.3%
Decimal Number 5044
 
5.0%
Open Punctuation 2940
 
2.9%
Close Punctuation 2938
 
2.9%
Dash Punctuation 803
 
0.8%
Other Punctuation 683
 
0.7%
Uppercase Letter 585
 
0.6%
Connector Punctuation 273
 
0.3%
Lowercase Letter 46
 
< 0.1%
Other values (4) 52
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3470
 
4.7%
2404
 
3.3%
1983
 
2.7%
1900
 
2.6%
1815
 
2.5%
1673
 
2.3%
1663
 
2.3%
1570
 
2.1%
1450
 
2.0%
1441
 
2.0%
Other values (597) 54392
73.7%
Uppercase Letter
ValueCountFrequency (%)
C 103
17.6%
E 73
12.5%
P 71
12.1%
V 52
8.9%
T 50
8.5%
L 37
 
6.3%
D 36
 
6.2%
S 36
 
6.2%
A 24
 
4.1%
F 22
 
3.8%
Other values (11) 81
13.8%
Decimal Number
ValueCountFrequency (%)
2 2361
46.8%
3 1162
23.0%
0 1083
21.5%
1 294
 
5.8%
4 52
 
1.0%
5 41
 
0.8%
7 22
 
0.4%
6 14
 
0.3%
8 9
 
0.2%
9 6
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
m 17
37.0%
l 6
 
13.0%
d 5
 
10.9%
e 5
 
10.9%
c 4
 
8.7%
v 3
 
6.5%
w 3
 
6.5%
t 2
 
4.3%
u 1
 
2.2%
Other Punctuation
ValueCountFrequency (%)
, 609
89.2%
· 56
 
8.2%
. 9
 
1.3%
* 3
 
0.4%
/ 3
 
0.4%
" 2
 
0.3%
? 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 2789
94.9%
[ 145
 
4.9%
3
 
0.1%
3
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 2787
94.9%
] 145
 
4.9%
3
 
0.1%
3
 
0.1%
Space Separator
ValueCountFrequency (%)
13419
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 803
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 273
100.0%
Math Symbol
ValueCountFrequency (%)
~ 43
100.0%
Final Punctuation
ValueCountFrequency (%)
3
100.0%
Initial Punctuation
ValueCountFrequency (%)
3
100.0%
Modifier Symbol
ValueCountFrequency (%)
˙ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 73756
73.4%
Common 26152
 
26.0%
Latin 631
 
0.6%
Han 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3470
 
4.7%
2404
 
3.3%
1983
 
2.7%
1900
 
2.6%
1815
 
2.5%
1673
 
2.3%
1663
 
2.3%
1570
 
2.1%
1450
 
2.0%
1441
 
2.0%
Other values (594) 54387
73.7%
Common
ValueCountFrequency (%)
13419
51.3%
( 2789
 
10.7%
) 2787
 
10.7%
2 2361
 
9.0%
3 1162
 
4.4%
0 1083
 
4.1%
- 803
 
3.1%
, 609
 
2.3%
1 294
 
1.1%
_ 273
 
1.0%
Other values (22) 572
 
2.2%
Latin
ValueCountFrequency (%)
C 103
16.3%
E 73
11.6%
P 71
11.3%
V 52
8.2%
T 50
 
7.9%
L 37
 
5.9%
D 36
 
5.7%
S 36
 
5.7%
A 24
 
3.8%
F 22
 
3.5%
Other values (20) 127
20.1%
Han
ValueCountFrequency (%)
2
40.0%
2
40.0%
1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 73756
73.4%
ASCII 26706
 
26.6%
None 68
 
0.1%
Punctuation 6
 
< 0.1%
CJK 5
 
< 0.1%
Modifier Letters 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13419
50.2%
( 2789
 
10.4%
) 2787
 
10.4%
2 2361
 
8.8%
3 1162
 
4.4%
0 1083
 
4.1%
- 803
 
3.0%
, 609
 
2.3%
1 294
 
1.1%
_ 273
 
1.0%
Other values (44) 1126
 
4.2%
Hangul
ValueCountFrequency (%)
3470
 
4.7%
2404
 
3.3%
1983
 
2.7%
1900
 
2.6%
1815
 
2.5%
1673
 
2.3%
1663
 
2.3%
1570
 
2.1%
1450
 
2.0%
1441
 
2.0%
Other values (594) 54387
73.7%
None
ValueCountFrequency (%)
· 56
82.4%
3
 
4.4%
3
 
4.4%
3
 
4.4%
3
 
4.4%
Punctuation
ValueCountFrequency (%)
3
50.0%
3
50.0%
Modifier Letters
ValueCountFrequency (%)
˙ 3
100.0%
CJK
ValueCountFrequency (%)
2
40.0%
2
40.0%
1
20.0%
Distinct257
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size30.2 KiB
Minimum2023-01-02 00:00:00
Maximum2023-12-29 00:00:00
2024-04-06T17:05:45.940505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:05:46.242167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct3281
Distinct (%)85.3%
Missing0
Missing (%)0.0%
Memory size30.2 KiB
2024-04-06T17:05:46.756978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length7.5080603
Min length3

Characters and Unicode

Total characters28876
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2941 ?
Unique (%)76.5%

Sample

1st row2086880
2nd row16984000
3rd row476362000
4th row16200000
5th row1560000
ValueCountFrequency (%)
19800000 31
 
0.8%
18000000 15
 
0.4%
11
 
0.3%
3850000 10
 
0.3%
9200000 9
 
0.2%
19710000 8
 
0.2%
14400000 7
 
0.2%
8280000 6
 
0.2%
5500000 6
 
0.2%
18900000 6
 
0.2%
Other values (3271) 3737
97.2%
2024-04-06T17:05:47.539377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 11945
41.4%
1 2651
 
9.2%
2 2097
 
7.3%
4 1932
 
6.7%
5 1849
 
6.4%
3 1753
 
6.1%
6 1741
 
6.0%
8 1729
 
6.0%
7 1580
 
5.5%
9 1563
 
5.4%
Other values (2) 36
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 28840
99.9%
Space Separator 24
 
0.1%
Dash Punctuation 12
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 11945
41.4%
1 2651
 
9.2%
2 2097
 
7.3%
4 1932
 
6.7%
5 1849
 
6.4%
3 1753
 
6.1%
6 1741
 
6.0%
8 1729
 
6.0%
7 1580
 
5.5%
9 1563
 
5.4%
Space Separator
ValueCountFrequency (%)
24
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 28876
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 11945
41.4%
1 2651
 
9.2%
2 2097
 
7.3%
4 1932
 
6.7%
5 1849
 
6.4%
3 1753
 
6.1%
6 1741
 
6.0%
8 1729
 
6.0%
7 1580
 
5.5%
9 1563
 
5.4%
Other values (2) 36
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 28876
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 11945
41.4%
1 2651
 
9.2%
2 2097
 
7.3%
4 1932
 
6.7%
5 1849
 
6.4%
3 1753
 
6.1%
6 1741
 
6.0%
8 1729
 
6.0%
7 1580
 
5.5%
9 1563
 
5.4%
Other values (2) 36
 
0.1%
Distinct3735
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size30.2 KiB
2024-04-06T17:05:47.971317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length198
Median length47
Mean length26.186687
Min length6

Characters and Unicode

Total characters100714
Distinct characters670
Distinct categories14 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3655 ?
Unique (%)95.0%

Sample

1st row장계지구(장계배수지)농어촌생활용수개발사업-스틸그레이팅
2nd row가로등 보수자재 구입
3rd row장수레드푸드융복합센터 진입도로(군도12호)개설공사
4th row2023년 설해대책 장비 임차(15톤덤프)1월
5th row경리팀 복사기 임대차계약 체결
ValueCountFrequency (%)
2023년 893
 
5.3%
관급자재 450
 
2.7%
437
 
2.6%
용역 275
 
1.6%
장수군 240
 
1.4%
구입 219
 
1.3%
장수 196
 
1.2%
시행 181
 
1.1%
정비사업 175
 
1.0%
157
 
0.9%
Other values (4543) 13548
80.8%
2024-04-06T17:05:48.778892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13587
 
13.5%
3470
 
3.4%
( 2789
 
2.8%
) 2787
 
2.8%
2404
 
2.4%
2 2361
 
2.3%
1984
 
2.0%
1900
 
1.9%
1815
 
1.8%
1673
 
1.7%
Other values (660) 65944
65.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 73763
73.2%
Space Separator 13587
 
13.5%
Decimal Number 5044
 
5.0%
Open Punctuation 2940
 
2.9%
Close Punctuation 2938
 
2.9%
Dash Punctuation 803
 
0.8%
Other Punctuation 683
 
0.7%
Uppercase Letter 585
 
0.6%
Connector Punctuation 273
 
0.3%
Lowercase Letter 46
 
< 0.1%
Other values (4) 52
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3470
 
4.7%
2404
 
3.3%
1984
 
2.7%
1900
 
2.6%
1815
 
2.5%
1673
 
2.3%
1663
 
2.3%
1570
 
2.1%
1450
 
2.0%
1441
 
2.0%
Other values (598) 54393
73.7%
Uppercase Letter
ValueCountFrequency (%)
C 103
17.6%
E 73
12.5%
P 71
12.1%
V 52
8.9%
T 50
8.5%
L 37
 
6.3%
S 36
 
6.2%
D 36
 
6.2%
A 24
 
4.1%
F 22
 
3.8%
Other values (11) 81
13.8%
Decimal Number
ValueCountFrequency (%)
2 2361
46.8%
3 1162
23.0%
0 1083
21.5%
1 294
 
5.8%
4 52
 
1.0%
5 41
 
0.8%
7 22
 
0.4%
6 14
 
0.3%
8 9
 
0.2%
9 6
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
m 17
37.0%
l 6
 
13.0%
e 5
 
10.9%
d 5
 
10.9%
c 4
 
8.7%
v 3
 
6.5%
w 3
 
6.5%
t 2
 
4.3%
u 1
 
2.2%
Other Punctuation
ValueCountFrequency (%)
, 609
89.2%
· 56
 
8.2%
. 9
 
1.3%
* 3
 
0.4%
/ 3
 
0.4%
" 2
 
0.3%
? 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 2789
94.9%
[ 145
 
4.9%
3
 
0.1%
3
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 2787
94.9%
] 145
 
4.9%
3
 
0.1%
3
 
0.1%
Space Separator
ValueCountFrequency (%)
13587
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 803
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 273
100.0%
Math Symbol
ValueCountFrequency (%)
~ 43
100.0%
Initial Punctuation
ValueCountFrequency (%)
3
100.0%
Final Punctuation
ValueCountFrequency (%)
3
100.0%
Modifier Symbol
ValueCountFrequency (%)
˙ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 73758
73.2%
Common 26320
 
26.1%
Latin 631
 
0.6%
Han 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3470
 
4.7%
2404
 
3.3%
1984
 
2.7%
1900
 
2.6%
1815
 
2.5%
1673
 
2.3%
1663
 
2.3%
1570
 
2.1%
1450
 
2.0%
1441
 
2.0%
Other values (595) 54388
73.7%
Common
ValueCountFrequency (%)
13587
51.6%
( 2789
 
10.6%
) 2787
 
10.6%
2 2361
 
9.0%
3 1162
 
4.4%
0 1083
 
4.1%
- 803
 
3.1%
, 609
 
2.3%
1 294
 
1.1%
_ 273
 
1.0%
Other values (22) 572
 
2.2%
Latin
ValueCountFrequency (%)
C 103
16.3%
E 73
11.6%
P 71
11.3%
V 52
8.2%
T 50
 
7.9%
L 37
 
5.9%
S 36
 
5.7%
D 36
 
5.7%
A 24
 
3.8%
F 22
 
3.5%
Other values (20) 127
20.1%
Han
ValueCountFrequency (%)
2
40.0%
2
40.0%
1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 73757
73.2%
ASCII 26874
 
26.7%
None 68
 
0.1%
Punctuation 6
 
< 0.1%
CJK 5
 
< 0.1%
Modifier Letters 3
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13587
50.6%
( 2789
 
10.4%
) 2787
 
10.4%
2 2361
 
8.8%
3 1162
 
4.3%
0 1083
 
4.0%
- 803
 
3.0%
, 609
 
2.3%
1 294
 
1.1%
_ 273
 
1.0%
Other values (44) 1126
 
4.2%
Hangul
ValueCountFrequency (%)
3470
 
4.7%
2404
 
3.3%
1984
 
2.7%
1900
 
2.6%
1815
 
2.5%
1673
 
2.3%
1663
 
2.3%
1570
 
2.1%
1450
 
2.0%
1441
 
2.0%
Other values (594) 54387
73.7%
None
ValueCountFrequency (%)
· 56
82.4%
3
 
4.4%
3
 
4.4%
3
 
4.4%
3
 
4.4%
Punctuation
ValueCountFrequency (%)
3
50.0%
3
50.0%
Modifier Letters
ValueCountFrequency (%)
˙ 3
100.0%
CJK
ValueCountFrequency (%)
2
40.0%
2
40.0%
1
20.0%
Compat Jamo
ValueCountFrequency (%)
1
100.0%
Distinct748
Distinct (%)19.4%
Missing0
Missing (%)0.0%
Memory size30.2 KiB
2024-04-06T17:05:49.379233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length7
Mean length7.4110764
Min length2

Characters and Unicode

Total characters28503
Distinct characters430
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique442 ?
Unique (%)11.5%

Sample

1st row전북지방조달청
2nd row전북지방조달청
3rd row감마레이 유한회사
4th row거인종합건설중기
5th row송봉섭
ValueCountFrequency (%)
전북지방조달청 1820
41.4%
주식회사 253
 
5.8%
유한회사 221
 
5.0%
제이디엔지니어링 30
 
0.7%
에이알산업 24
 
0.5%
주)제일환경 21
 
0.5%
유)명현건설 21
 
0.5%
유)청연 21
 
0.5%
주)혜원이엔지 21
 
0.5%
삼본 20
 
0.5%
Other values (767) 1948
44.3%
2024-04-06T17:05:50.241401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2017
 
7.1%
2002
 
7.0%
1910
 
6.7%
1872
 
6.6%
1858
 
6.5%
1855
 
6.5%
1840
 
6.5%
) 998
 
3.5%
( 968
 
3.4%
780
 
2.7%
Other values (420) 12403
43.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 25865
90.7%
Close Punctuation 998
 
3.5%
Open Punctuation 968
 
3.4%
Space Separator 556
 
2.0%
Uppercase Letter 63
 
0.2%
Decimal Number 32
 
0.1%
Other Punctuation 11
 
< 0.1%
Lowercase Letter 10
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2017
 
7.8%
2002
 
7.7%
1910
 
7.4%
1872
 
7.2%
1858
 
7.2%
1855
 
7.2%
1840
 
7.1%
780
 
3.0%
775
 
3.0%
724
 
2.8%
Other values (386) 10232
39.6%
Uppercase Letter
ValueCountFrequency (%)
B 11
17.5%
D 8
12.7%
C 7
11.1%
O 6
9.5%
E 5
7.9%
J 5
7.9%
S 5
7.9%
K 4
 
6.3%
M 2
 
3.2%
R 2
 
3.2%
Other values (6) 8
12.7%
Lowercase Letter
ValueCountFrequency (%)
t 2
20.0%
u 2
20.0%
r 2
20.0%
a 1
10.0%
c 1
10.0%
l 1
10.0%
e 1
10.0%
Other Punctuation
ValueCountFrequency (%)
. 4
36.4%
, 3
27.3%
/ 2
18.2%
& 1
 
9.1%
· 1
 
9.1%
Decimal Number
ValueCountFrequency (%)
1 20
62.5%
9 10
31.2%
2 2
 
6.2%
Close Punctuation
ValueCountFrequency (%)
) 998
100.0%
Open Punctuation
ValueCountFrequency (%)
( 968
100.0%
Space Separator
ValueCountFrequency (%)
556
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 25865
90.7%
Common 2565
 
9.0%
Latin 73
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2017
 
7.8%
2002
 
7.7%
1910
 
7.4%
1872
 
7.2%
1858
 
7.2%
1855
 
7.2%
1840
 
7.1%
780
 
3.0%
775
 
3.0%
724
 
2.8%
Other values (386) 10232
39.6%
Latin
ValueCountFrequency (%)
B 11
15.1%
D 8
11.0%
C 7
 
9.6%
O 6
 
8.2%
E 5
 
6.8%
J 5
 
6.8%
S 5
 
6.8%
K 4
 
5.5%
M 2
 
2.7%
R 2
 
2.7%
Other values (13) 18
24.7%
Common
ValueCountFrequency (%)
) 998
38.9%
( 968
37.7%
556
21.7%
1 20
 
0.8%
9 10
 
0.4%
. 4
 
0.2%
, 3
 
0.1%
2 2
 
0.1%
/ 2
 
0.1%
& 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 25865
90.7%
ASCII 2637
 
9.3%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
2017
 
7.8%
2002
 
7.7%
1910
 
7.4%
1872
 
7.2%
1858
 
7.2%
1855
 
7.2%
1840
 
7.1%
780
 
3.0%
775
 
3.0%
724
 
2.8%
Other values (386) 10232
39.6%
ASCII
ValueCountFrequency (%)
) 998
37.8%
( 968
36.7%
556
21.1%
1 20
 
0.8%
B 11
 
0.4%
9 10
 
0.4%
D 8
 
0.3%
C 7
 
0.3%
O 6
 
0.2%
E 5
 
0.2%
Other values (23) 48
 
1.8%
None
ValueCountFrequency (%)
· 1
100.0%

Missing values

2024-04-06T17:05:42.998628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T17:05:43.217100image/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

계약종류계약명계약일자계약금액계약내용업체명
0물품장계지구(장계배수지)농어촌생활용수개발사업-스틸그레이팅2023-01-022086880장계지구(장계배수지)농어촌생활용수개발사업-스틸그레이팅전북지방조달청
1물품가로등 보수자재 구입2023-01-0216984000가로등 보수자재 구입전북지방조달청
2공사장수레드푸드융복합센터 진입도로(군도12호)개설공사2023-01-03476362000장수레드푸드융복합센터 진입도로(군도12호)개설공사감마레이 유한회사
3용역2023년 설해대책 장비 임차(15톤덤프)1월2023-01-03162000002023년 설해대책 장비 임차(15톤덤프)1월거인종합건설중기
4용역경리팀 복사기 임대차계약 체결2023-01-031560000경리팀 복사기 임대차계약 체결송봉섭
5용역2023년 주요농산물 가격안정지원사업 시스템 유지보수 용역 시행2023-01-0312000002023년 주요농산물 가격안정지원사업 시스템 유지보수 용역 시행위드시스템
6용역2023년도 장수군 IPTV 외청사 송출시스템 유지관리 용역2023-01-06111000002023년도 장수군 IPTV 외청사 송출시스템 유지관리 용역티노
7물품2023년 본예산 세입세출예산서 유인2023-01-06122000002023년 본예산 세입세출예산서 유인중앙인쇄광고기획사
8용역2023년도 장수군 RFID리더기 응용 S/W 유지보수 용역2023-01-0934000002023년도 장수군 RFID리더기 응용 S/W 유지보수 용역(유)알에프앤씨
9용역2023년 와룡자연휴양림 오수처리시설 관리용역2023-01-09198000002023년 와룡자연휴양림 오수처리시설 관리용역유한회사 일토씨엔엠
계약종류계약명계약일자계약금액계약내용업체명
3836물품조달물품신청-컴퓨터(2022,2023년 워케이션 거점공간 조성사업)2023-12-283835200조달물품신청-컴퓨터(2022,2023년 워케이션 거점공간 조성사업)조달청
3837물품관급자재신청-난방시설(워케이션 거점공간 조성사업 시행)2023-12-2818960800관급자재신청-난방시설(워케이션 거점공간 조성사업 시행)조달청
3838물품공유형 물류기반구축 컨테이너창고 구입 설치2023-12-2840000000공유형 물류기반구축 컨테이너창고 구입 설치전북지방조달청
3839물품관급자재신청-난간(워케이션 거점공간 조성사업 시행)2023-12-2826544000관급자재신청-난간(워케이션 거점공간 조성사업 시행)조달청
3840물품논개아릿골 농촌다움복원사업(관급-뒷채움잡석)2023-12-281206800논개아릿골 농촌다움복원사업(관급-뒷채움잡석)(주)임광산업
3841물품공유형 물류기반구축 컨테이너창고 구입 설치2023-12-2837400000공유형 물류기반구축 컨테이너창고 구입 설치전북지방조달청
3842물품관급자재 신청(장수군 특산물지원센터 리모델링 및 증축 건축공사)2023-12-2854809850관급자재 신청(장수군 특산물지원센터 리모델링 및 증축 건축공사)전북지방조달청
3843물품관급자재 신청-엘리베이터(워케이션 거점공간 조성사업 시행)2023-12-2860400000관급자재 신청-엘리베이터(워케이션 거점공간 조성사업 시행)조달청
3844물품장수중심지 주차타워-순환아스콘2023-12-2810784800장수중심지 주차타워-순환아스콘전북지방조달청
3845물품논개아릿골 농촌다움복원사업(관급-기타화초)2023-12-2914231700논개아릿골 농촌다움복원사업(관급-기타화초)전북지방조달청

Duplicate rows

Most frequently occurring

계약종류계약명계약일자계약금액계약내용업체명# duplicates
0물품관급자재 신청[동화천 지방하천 정비사업 3차분-잡석]2023-11-2012668950관급자재 신청[동화천 지방하천 정비사업 3차분-잡석](유)일등석2
1용역2023년 가로수 조성사업 실시설계용역 시행[장수 지구]2023-01-17341270002023년 가로수 조성사업 실시설계용역 시행[장수 지구]유한회사 정담2
2용역2023년 폭염대응 살수차 임차용역2023-08-0260800002023년 폭염대응 살수차 임차용역대한특수2
3용역상수도노후관교체및도로침하보수공사실시설계용역2023-02-0216590000상수도노후관교체및도로침하보수공사실시설계용역주식회사 삼본2