Overview

Dataset statistics

Number of variables16
Number of observations3533
Missing cells183
Missing cells (%)0.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory462.5 KiB
Average record size in memory134.0 B

Variable types

Numeric5
Categorical5
Text6

Alerts

계약회계년도 has constant value ""Constant
계약대장관리아이디 is highly overall correlated with 계약종류구분명High correlation
계약종류구분명 is highly overall correlated with 계약대장관리아이디High correlation
사업부서관서명 has 61 (1.7%) missing valuesMissing
사업부서실국명 has 61 (1.7%) missing valuesMissing
사업부서명 has 61 (1.7%) missing valuesMissing

Reproduction

Analysis started2024-05-10 20:55:34.102936
Analysis finished2024-05-10 20:55:47.810771
Duration13.71 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

계약대장관리아이디
Real number (ℝ)

HIGH CORRELATION 

Distinct3529
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0240024 × 1011
Minimum2.0240011 × 1011
Maximum2.0240032 × 1011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.2 KiB
2024-05-10T20:55:48.044051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0240011 × 1011
5-th percentile2.0240011 × 1011
Q12.0240021 × 1011
median2.0240021 × 1011
Q32.0240031 × 1011
95-th percentile2.0240031 × 1011
Maximum2.0240032 × 1011
Range211386
Interquartile range (IQR)101618

Descriptive statistics

Standard deviation72545.555
Coefficient of variation (CV)3.5842624 × 10-7
Kurtosis-1.0158329
Mean2.0240024 × 1011
Median Absolute Deviation (MAD)98629
Skewness-0.44091049
Sum7.1508004 × 1014
Variance5.2628576 × 109
MonotonicityDecreasing
2024-05-10T20:55:48.531085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
202400310738 5
 
0.1%
202400321469 1
 
< 0.1%
202400210830 1
 
< 0.1%
202400210841 1
 
< 0.1%
202400210840 1
 
< 0.1%
202400210839 1
 
< 0.1%
202400210838 1
 
< 0.1%
202400210837 1
 
< 0.1%
202400210835 1
 
< 0.1%
202400210834 1
 
< 0.1%
Other values (3519) 3519
99.6%
ValueCountFrequency (%)
202400110083 1
< 0.1%
202400110086 1
< 0.1%
202400110148 1
< 0.1%
202400110149 1
< 0.1%
202400110207 1
< 0.1%
202400110213 1
< 0.1%
202400110269 1
< 0.1%
202400110303 1
< 0.1%
202400110329 1
< 0.1%
202400110361 1
< 0.1%
ValueCountFrequency (%)
202400321469 1
< 0.1%
202400320648 1
< 0.1%
202400313637 1
< 0.1%
202400313634 1
< 0.1%
202400313632 1
< 0.1%
202400313631 1
< 0.1%
202400313630 1
< 0.1%
202400313629 1
< 0.1%
202400313628 1
< 0.1%
202400313627 1
< 0.1%

계약회계년도
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size27.7 KiB
2024
3533 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024
2nd row2024
3rd row2024
4th row2024
5th row2024

Common Values

ValueCountFrequency (%)
2024 3533
100.0%

Length

2024-05-10T20:55:48.945956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T20:55:49.243209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024 3533
100.0%

계약부서명
Text

Distinct115
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size27.7 KiB
2024-05-10T20:55:49.695255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length5
Mean length5.2575715
Min length3

Characters and Unicode

Total characters18575
Distinct characters123
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)0.7%

Sample

1st row화재예방과
2nd row화재예방과
3rd row소방행정기획과
4th row관리과
5th row평택소방서
ValueCountFrequency (%)
회계과 327
 
9.0%
회계담당관 196
 
5.4%
관리과 186
 
5.1%
행정지원과 157
 
4.3%
용인소방서 146
 
4.0%
파주소방서 112
 
3.1%
교육지원과 112
 
3.1%
회계장비담당관 99
 
2.7%
총무담당관 95
 
2.6%
화성소방서 92
 
2.5%
Other values (116) 2096
57.9%
2024-05-10T20:55:50.745197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
소 1968
 
10.6%
방 1784
 
9.6%
서 1771
 
9.5%
과 1063
 
5.7%
계 656
 
3.5%
관 628
 
3.4%
회 622
 
3.3%
원 464
 
2.5%
당 437
 
2.4%
담 396
 
2.1%
Other values (113) 8786
47.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18490
99.5%
Space Separator 85
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 1968
 
10.6%
방 1784
 
9.6%
서 1771
 
9.6%
과 1063
 
5.7%
계 656
 
3.5%
관 628
 
3.4%
회 622
 
3.4%
원 464
 
2.5%
당 437
 
2.4%
담 396
 
2.1%
Other values (112) 8701
47.1%
Space Separator
ValueCountFrequency (%)
85
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18490
99.5%
Common 85
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 1968
 
10.6%
방 1784
 
9.6%
서 1771
 
9.6%
과 1063
 
5.7%
계 656
 
3.5%
관 628
 
3.4%
회 622
 
3.4%
원 464
 
2.5%
당 437
 
2.4%
담 396
 
2.1%
Other values (112) 8701
47.1%
Common
ValueCountFrequency (%)
85
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18490
99.5%
ASCII 85
 
0.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
소 1968
 
10.6%
방 1784
 
9.6%
서 1771
 
9.6%
과 1063
 
5.7%
계 656
 
3.5%
관 628
 
3.4%
회 622
 
3.4%
원 464
 
2.5%
당 437
 
2.4%
담 396
 
2.1%
Other values (112) 8701
47.1%
ASCII
ValueCountFrequency (%)
85
100.0%

사업부서구분명
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size27.7 KiB
직속기관
2218 
본청
534 
사업소
436 
외청
 
198
<NA>
 
147

Length

Max length4
Median length4
Mean length3.4622134
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row본청
2nd row본청
3rd row본청
4th row<NA>
5th row직속기관

Common Values

ValueCountFrequency (%)
직속기관 2218
62.8%
본청 534
 
15.1%
사업소 436
 
12.3%
외청 198
 
5.6%
<NA> 147
 
4.2%

Length

2024-05-10T20:55:51.349179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T20:55:51.660677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
직속기관 2218
62.8%
본청 534
 
15.1%
사업소 436
 
12.3%
외청 198
 
5.6%
na 147
 
4.2%

사업부서관서명
Text

MISSING 

Distinct99
Distinct (%)2.9%
Missing61
Missing (%)1.7%
Memory size27.7 KiB
2024-05-10T20:55:52.051898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length5
Mean length5.1025346
Min length2

Characters and Unicode

Total characters17716
Distinct characters105
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)0.3%

Sample

1st row소방재난본부
2nd row소방재난본부
3rd row북부소방재난본부
4th row평택소방서
5th row이천경찰서
ValueCountFrequency (%)
본청 330
 
9.5%
북부청 199
 
5.7%
농업기술원 157
 
4.5%
소방재난본부 148
 
4.2%
용인소방서 146
 
4.2%
건설본부 139
 
4.0%
파주소방서 112
 
3.2%
의회사무처 95
 
2.7%
소방학교 89
 
2.6%
연천소방서 85
 
2.4%
Other values (89) 1987
57.0%
2024-05-10T20:55:52.874054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
소 2151
 
12.1%
방 1970
 
11.1%
서 1723
 
9.7%
부 805
 
4.5%
본 704
 
4.0%
청 542
 
3.1%
원 425
 
2.4%
경 390
 
2.2%
주 349
 
2.0%
기 335
 
1.9%
Other values (95) 8322
47.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17701
99.9%
Space Separator 15
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 2151
 
12.2%
방 1970
 
11.1%
서 1723
 
9.7%
부 805
 
4.5%
본 704
 
4.0%
청 542
 
3.1%
원 425
 
2.4%
경 390
 
2.2%
주 349
 
2.0%
기 335
 
1.9%
Other values (94) 8307
46.9%
Space Separator
ValueCountFrequency (%)
15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17701
99.9%
Common 15
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 2151
 
12.2%
방 1970
 
11.1%
서 1723
 
9.7%
부 805
 
4.5%
본 704
 
4.0%
청 542
 
3.1%
원 425
 
2.4%
경 390
 
2.2%
주 349
 
2.0%
기 335
 
1.9%
Other values (94) 8307
46.9%
Common
ValueCountFrequency (%)
15
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17701
99.9%
ASCII 15
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
소 2151
 
12.2%
방 1970
 
11.1%
서 1723
 
9.7%
부 805
 
4.5%
본 704
 
4.0%
청 542
 
3.1%
원 425
 
2.4%
경 390
 
2.2%
주 349
 
2.0%
기 335
 
1.9%
Other values (94) 8307
46.9%
ASCII
ValueCountFrequency (%)
15
100.0%

사업부서실국명
Text

MISSING 

Distinct79
Distinct (%)2.3%
Missing61
Missing (%)1.7%
Memory size27.7 KiB
2024-05-10T20:55:53.381969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length3
Mean length4.9922235
Min length3

Characters and Unicode

Total characters17333
Distinct characters121
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14 ?
Unique (%)0.4%

Sample

1st row소방재난본부
2nd row소방재난본부
3rd row북부소방재난본부
4th row소방서
5th row이천경찰서-재배정
ValueCountFrequency (%)
소방서 1678
48.3%
경기도농업기술원 157
 
4.5%
소방재난본부 148
 
4.3%
축산동물복지국 144
 
4.1%
경기도건설본부 139
 
4.0%
기후환경에너지국 106
 
3.1%
의회사무처 95
 
2.7%
자치행정국 91
 
2.6%
경기도소방학교 89
 
2.6%
경기도보건환경연구원 85
 
2.4%
Other values (69) 740
21.3%
2024-05-10T20:55:54.279505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
소 1978
 
11.4%
방 1970
 
11.4%
서 1723
 
9.9%
기 1004
 
5.8%
경 894
 
5.2%
도 653
 
3.8%
국 636
 
3.7%
부 474
 
2.7%
본 372
 
2.1%
건 366
 
2.1%
Other values (111) 7263
41.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17247
99.5%
Dash Punctuation 86
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 1978
 
11.5%
방 1970
 
11.4%
서 1723
 
10.0%
기 1004
 
5.8%
경 894
 
5.2%
도 653
 
3.8%
국 636
 
3.7%
부 474
 
2.7%
본 372
 
2.2%
건 366
 
2.1%
Other values (110) 7177
41.6%
Dash Punctuation
ValueCountFrequency (%)
- 86
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17247
99.5%
Common 86
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 1978
 
11.5%
방 1970
 
11.4%
서 1723
 
10.0%
기 1004
 
5.8%
경 894
 
5.2%
도 653
 
3.8%
국 636
 
3.7%
부 474
 
2.7%
본 372
 
2.2%
건 366
 
2.1%
Other values (110) 7177
41.6%
Common
ValueCountFrequency (%)
- 86
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17247
99.5%
ASCII 86
 
0.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
소 1978
 
11.5%
방 1970
 
11.4%
서 1723
 
10.0%
기 1004
 
5.8%
경 894
 
5.2%
도 653
 
3.8%
국 636
 
3.7%
부 474
 
2.7%
본 372
 
2.2%
건 366
 
2.1%
Other values (110) 7177
41.6%
ASCII
ValueCountFrequency (%)
- 86
100.0%

사업부서명
Text

MISSING 

Distinct222
Distinct (%)6.4%
Missing61
Missing (%)1.7%
Memory size27.7 KiB
2024-05-10T20:55:54.818693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length5
Mean length5.7232143
Min length3

Characters and Unicode

Total characters19871
Distinct characters201
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique48 ?
Unique (%)1.4%

Sample

1st row화재예방과
2nd row화재예방과
3rd row예방과
4th row평택소방서
5th row이천경찰서 경무과
ValueCountFrequency (%)
용인소방서 146
 
4.1%
파주소방서 112
 
3.1%
회계장비담당관 105
 
2.9%
연천소방서 85
 
2.4%
교육지원과 83
 
2.3%
하천과 79
 
2.2%
안성소방서 74
 
2.1%
남양주소방서 71
 
2.0%
산림환경연구소 65
 
1.8%
도로건설과 62
 
1.7%
Other values (228) 2703
75.4%
2024-05-10T20:55:55.678990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
소 2010
 
10.1%
방 1749
 
8.8%
서 1725
 
8.7%
과 1000
 
5.0%
관 455
 
2.3%
산 419
 
2.1%
당 375
 
1.9%
경 367
 
1.8%
주 349
 
1.8%
연 348
 
1.8%
Other values (191) 11074
55.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 19705
99.2%
Space Separator 113
 
0.6%
Decimal Number 27
 
0.1%
Uppercase Letter 26
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 2010
 
10.2%
방 1749
 
8.9%
서 1725
 
8.8%
과 1000
 
5.1%
관 455
 
2.3%
산 419
 
2.1%
당 375
 
1.9%
경 367
 
1.9%
주 349
 
1.8%
연 348
 
1.8%
Other values (183) 10908
55.4%
Uppercase Letter
ValueCountFrequency (%)
I 7
26.9%
A 7
26.9%
Z 4
15.4%
M 4
15.4%
D 4
15.4%
Decimal Number
ValueCountFrequency (%)
1 18
66.7%
9 9
33.3%
Space Separator
ValueCountFrequency (%)
113
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 19705
99.2%
Common 140
 
0.7%
Latin 26
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 2010
 
10.2%
방 1749
 
8.9%
서 1725
 
8.8%
과 1000
 
5.1%
관 455
 
2.3%
산 419
 
2.1%
당 375
 
1.9%
경 367
 
1.9%
주 349
 
1.8%
연 348
 
1.8%
Other values (183) 10908
55.4%
Latin
ValueCountFrequency (%)
I 7
26.9%
A 7
26.9%
Z 4
15.4%
M 4
15.4%
D 4
15.4%
Common
ValueCountFrequency (%)
113
80.7%
1 18
 
12.9%
9 9
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 19705
99.2%
ASCII 166
 
0.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
소 2010
 
10.2%
방 1749
 
8.9%
서 1725
 
8.8%
과 1000
 
5.1%
관 455
 
2.3%
산 419
 
2.1%
당 375
 
1.9%
경 367
 
1.9%
주 349
 
1.8%
연 348
 
1.8%
Other values (183) 10908
55.4%
ASCII
ValueCountFrequency (%)
113
68.1%
1 18
 
10.8%
9 9
 
5.4%
I 7
 
4.2%
A 7
 
4.2%
Z 4
 
2.4%
M 4
 
2.4%
D 4
 
2.4%

계약명
Text

Distinct3501
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size27.7 KiB
2024-05-10T20:55:56.276559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length47
Mean length28.733088
Min length8

Characters and Unicode

Total characters101514
Distinct characters724
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

Unique3473 ?
Unique (%)98.3%

Sample

1st row소방특별사법경찰 수사용 소모품 구매
2nd row다국어 『재난유형별 행동요령 리플릿(41종)』제작 건의
3rd row2024년 예방과 자산취득물품 구매 (사무용컴퓨터 2세트)
4th row과적차량 단속용 이동식 축중기(인디게이터 포함) 구매
5th row2024년 2분기 구급용소모품(의약품) 구입 건의
ValueCountFrequency (%)
2024년 1305
 
6.2%
건의 903
 
4.3%
용역 594
 
2.8%
구입 581
 
2.8%
계약 521
 
2.5%
및 497
 
2.4%
구매 390
 
1.9%
등 326
 
1.6%
공사 299
 
1.4%
조달 199
 
0.9%
Other values (5226) 15361
73.2%
2024-05-10T20:55:57.344754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
17507
 
17.2%
2 3385
 
3.3%
) 2053
 
2.0%
( 2046
 
2.0%
구 2040
 
2.0%
기 1816
 
1.8%
의 1774
 
1.7%
사 1743
 
1.7%
4 1652
 
1.6%
년 1587
 
1.6%
Other values (714) 65911
64.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 69600
68.6%
Space Separator 17507
 
17.2%
Decimal Number 8598
 
8.5%
Close Punctuation 2243
 
2.2%
Open Punctuation 2236
 
2.2%
Other Punctuation 531
 
0.5%
Uppercase Letter 451
 
0.4%
Dash Punctuation 156
 
0.2%
Lowercase Letter 96
 
0.1%
Math Symbol 49
 
< 0.1%
Other values (4) 47
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 2040
 
2.9%
기 1816
 
2.6%
의 1774
 
2.5%
사 1743
 
2.5%
년 1587
 
2.3%
용 1579
 
2.3%
소 1502
 
2.2%
건 1380
 
2.0%
방 1249
 
1.8%
공 1129
 
1.6%
Other values (639) 53801
77.3%
Uppercase Letter
ValueCountFrequency (%)
S 61
13.5%
P 52
11.5%
D 34
 
7.5%
E 31
 
6.9%
T 30
 
6.7%
A 30
 
6.7%
C 28
 
6.2%
I 28
 
6.2%
L 28
 
6.2%
U 21
 
4.7%
Other values (13) 108
23.9%
Lowercase Letter
ValueCountFrequency (%)
e 49
51.0%
t 8
 
8.3%
p 6
 
6.2%
o 5
 
5.2%
l 5
 
5.2%
m 4
 
4.2%
s 3
 
3.1%
a 3
 
3.1%
h 3
 
3.1%
n 2
 
2.1%
Other values (6) 8
 
8.3%
Decimal Number
ValueCountFrequency (%)
2 3385
39.4%
4 1652
19.2%
0 1580
18.4%
1 1025
 
11.9%
9 362
 
4.2%
3 235
 
2.7%
5 113
 
1.3%
8 97
 
1.1%
7 80
 
0.9%
6 69
 
0.8%
Other Punctuation
ValueCountFrequency (%)
, 327
61.6%
' 90
 
16.9%
· 60
 
11.3%
. 33
 
6.2%
/ 10
 
1.9%
? 8
 
1.5%
* 2
 
0.4%
， 1
 
0.2%
Close Punctuation
ValueCountFrequency (%)
) 2053
91.5%
] 167
 
7.4%
」 21
 
0.9%
』 1
 
< 0.1%
} 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 2046
91.5%
[ 169
 
7.6%
「 20
 
0.9%
『 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 41
83.7%
+ 5
 
10.2%
→ 3
 
6.1%
Space Separator
ValueCountFrequency (%)
17507
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 156
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 38
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 5
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 3
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 69596
68.6%
Common 31367
30.9%
Latin 547
 
0.5%
Han 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 2040
 
2.9%
기 1816
 
2.6%
의 1774
 
2.5%
사 1743
 
2.5%
년 1587
 
2.3%
용 1579
 
2.3%
소 1502
 
2.2%
건 1380
 
2.0%
방 1249
 
1.8%
공 1129
 
1.6%
Other values (638) 53797
77.3%
Latin
ValueCountFrequency (%)
S 61
 
11.2%
P 52
 
9.5%
e 49
 
9.0%
D 34
 
6.2%
E 31
 
5.7%
T 30
 
5.5%
A 30
 
5.5%
C 28
 
5.1%
I 28
 
5.1%
L 28
 
5.1%
Other values (29) 176
32.2%
Common
ValueCountFrequency (%)
17507
55.8%
2 3385
 
10.8%
) 2053
 
6.5%
( 2046
 
6.5%
4 1652
 
5.3%
0 1580
 
5.0%
1 1025
 
3.3%
9 362
 
1.2%
, 327
 
1.0%
3 235
 
0.7%
Other values (26) 1195
 
3.8%
Han
ValueCountFrequency (%)
字 4
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 69593
68.6%
ASCII 31803
31.3%
None 104
 
0.1%
CJK 4
 
< 0.1%
Punctuation 4
 
< 0.1%
Compat Jamo 3
 
< 0.1%
Arrows 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
17507
55.0%
2 3385
 
10.6%
) 2053
 
6.5%
( 2046
 
6.4%
4 1652
 
5.2%
0 1580
 
5.0%
1 1025
 
3.2%
9 362
 
1.1%
, 327
 
1.0%
3 235
 
0.7%
Other values (56) 1631
 
5.1%
Hangul
ValueCountFrequency (%)
구 2040
 
2.9%
기 1816
 
2.6%
의 1774
 
2.5%
사 1743
 
2.5%
년 1587
 
2.3%
용 1579
 
2.3%
소 1502
 
2.2%
건 1380
 
2.0%
방 1249
 
1.8%
공 1129
 
1.6%
Other values (637) 53794
77.3%
None
ValueCountFrequency (%)
· 60
57.7%
」 21
 
20.2%
「 20
 
19.2%
， 1
 
1.0%
』 1
 
1.0%
『 1
 
1.0%
CJK
ValueCountFrequency (%)
字 4
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 3
100.0%
Punctuation
ValueCountFrequency (%)
‘ 3
75.0%
’ 1
 
25.0%
Arrows
ValueCountFrequency (%)
→ 3
100.0%

계약종류구분명
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size27.7 KiB
물품
1523 
용역
1431 
공사
579 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
물품 1523
43.1%
용역 1431
40.5%
공사 579
 
16.4%

Length

2024-05-10T20:55:57.758243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T20:55:58.065538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
물품 1523
43.1%
용역 1431
40.5%
공사 579
 
16.4%

계약방법명
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size27.7 KiB
수의1인견적
2093 
일반경쟁
891 
수의2인이상견적
322 
제한경쟁
223 
지명경쟁
 
4

Length

Max length8
Median length6
Mean length5.5493915
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row일반경쟁
2nd row수의1인견적
3rd row일반경쟁
4th row일반경쟁
5th row수의1인견적

Common Values

ValueCountFrequency (%)
수의1인견적 2093
59.2%
일반경쟁 891
25.2%
수의2인이상견적 322
 
9.1%
제한경쟁 223
 
6.3%
지명경쟁 4
 
0.1%

Length

2024-05-10T20:55:58.471600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T20:55:58.835532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수의1인견적 2093
59.2%
일반경쟁 891
25.2%
수의2인이상견적 322
 
9.1%
제한경쟁 223
 
6.3%
지명경쟁 4
 
0.1%

계약일자
Real number (ℝ)

Distinct170
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20239324
Minimum20200908
Maximum20240630
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.2 KiB
2024-05-10T20:55:59.238686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20200908
5-th percentile20231226
Q120240117
median20240229
Q320240329
95-th percentile20240430
Maximum20240630
Range39722
Interquartile range (IQR)212

Descriptive statistics

Standard deviation2986.7169
Coefficient of variation (CV)0.00014756999
Kurtosis18.350944
Mean20239324
Median Absolute Deviation (MAD)112
Skewness-3.5851476
Sum7.1505532 × 1010
Variance8920478
MonotonicityNot monotonic
2024-05-10T20:55:59.722411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20240101 144
 
4.1%
20231228 82
 
2.3%
20240325 63
 
1.8%
20240405 57
 
1.6%
20240327 55
 
1.6%
20240220 55
 
1.6%
20240328 55
 
1.6%
20240313 51
 
1.4%
20240329 50
 
1.4%
20240320 49
 
1.4%
Other values (160) 2872
81.3%
ValueCountFrequency (%)
20200908 1
< 0.1%
20210608 1
< 0.1%
20210817 1
< 0.1%
20220214 1
< 0.1%
20220225 1
< 0.1%
20220428 1
< 0.1%
20220616 1
< 0.1%
20220722 1
< 0.1%
20221026 1
< 0.1%
20221207 1
< 0.1%
ValueCountFrequency (%)
20240630 1
 
< 0.1%
20240509 26
0.7%
20240508 31
0.9%
20240507 32
0.9%
20240503 26
0.7%
20240502 32
0.9%
20240501 23
0.7%
20240430 29
0.8%
20240429 20
0.6%
20240427 1
 
< 0.1%

계약금액
Real number (ℝ)

Distinct2845
Distinct (%)80.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean70688539
Minimum32990
Maximum8.7995754 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.2 KiB
2024-05-10T20:56:00.220045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum32990
5-th percentile592140
Q12800000
median7100000
Q321560000
95-th percentile2.2117485 × 108
Maximum8.7995754 × 109
Range8.7995424 × 109
Interquartile range (IQR)18760000

Descriptive statistics

Standard deviation3.6511841 × 108
Coefficient of variation (CV)5.1651713
Kurtosis210.85353
Mean70688539
Median Absolute Deviation (MAD)5516000
Skewness12.746958
Sum2.4974261 × 1011
Variance1.3331146 × 1017
MonotonicityNot monotonic
2024-05-10T20:56:00.723889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3960000 26
 
0.7%
3300000 21
 
0.6%
1980000 18
 
0.5%
1320000 16
 
0.5%
1200000 14
 
0.4%
5280000 13
 
0.4%
1584000 10
 
0.3%
6600000 10
 
0.3%
900000 9
 
0.3%
990000 9
 
0.3%
Other values (2835) 3387
95.9%
ValueCountFrequency (%)
32990 1
< 0.1%
35000 1
< 0.1%
38500 2
0.1%
49800 1
< 0.1%
57700 1
< 0.1%
65000 1
< 0.1%
83000 1
< 0.1%
87000 1
< 0.1%
97700 1
< 0.1%
109000 1
< 0.1%
ValueCountFrequency (%)
8799575400 1
< 0.1%
7060000000 1
< 0.1%
6469486000 1
< 0.1%
5176548340 1
< 0.1%
5154918000 1
< 0.1%
5005816440 1
< 0.1%
3836904000 1
< 0.1%
3825637000 1
< 0.1%
3751088050 1
< 0.1%
3574037900 1
< 0.1%

준공일자
Real number (ℝ)

Distinct349
Distinct (%)9.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20240898
Minimum20231215
Maximum20290926
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.2 KiB
2024-05-10T20:56:01.259645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20231215
5-th percentile20240201
Q120240327
median20240504
Q320241215
95-th percentile20241231
Maximum20290926
Range59711
Interquartile range (IQR)888

Descriptive statistics

Standard deviation2323.3745
Coefficient of variation (CV)0.00011478614
Kurtosis179.50638
Mean20240898
Median Absolute Deviation (MAD)197
Skewness11.532022
Sum7.1511092 × 1010
Variance5398069.1
MonotonicityNot monotonic
2024-05-10T20:56:01.965401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20241231 764
 
21.6%
20240430 45
 
1.3%
20240419 44
 
1.2%
20240229 44
 
1.2%
20240508 40
 
1.1%
20240423 39
 
1.1%
20240329 39
 
1.1%
20240503 38
 
1.1%
20240412 37
 
1.0%
20240327 35
 
1.0%
Other values (339) 2408
68.2%
ValueCountFrequency (%)
20231215 1
 
< 0.1%
20231227 1
 
< 0.1%
20231231 1
 
< 0.1%
20240102 5
0.1%
20240103 2
 
0.1%
20240104 1
 
< 0.1%
20240105 5
0.1%
20240106 2
 
0.1%
20240107 5
0.1%
20240108 6
0.2%
ValueCountFrequency (%)
20290926 1
< 0.1%
20280413 2
0.1%
20280316 2
0.1%
20270310 2
0.1%
20261231 1
< 0.1%
20260601 1
< 0.1%
20260404 1
< 0.1%
20260317 1
< 0.1%
20260201 1
< 0.1%
20251231 2
0.1%

계약업체명
Text

Distinct2136
Distinct (%)60.5%
Missing0
Missing (%)0.0%
Memory size27.7 KiB
2024-05-10T20:56:02.514526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length21
Mean length7.7387489
Min length2

Characters and Unicode

Total characters27341
Distinct characters601
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1659 ?
Unique (%)47.0%

Sample

1st row세이드원
2nd row우리사
3rd row서울지방조달청
4th row박종관(에프에이유니온)
5th row(주)금보메디넷
ValueCountFrequency (%)
주식회사 621
 
14.4%
인천지방조달청 181
 
4.2%
서울지방조달청 112
 
2.6%
다원 35
 
0.8%
조달청 34
 
0.8%
주)맵스 31
 
0.7%
삼성전자 21
 
0.5%
씨피알코리아메디칼(주 19
 
0.4%
뉴솔팜 18
 
0.4%
엠에스엘파이어 16
 
0.4%
Other values (2180) 3235
74.8%
2024-05-10T20:56:03.572681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 1912
 
7.0%
) 1208
 
4.4%
( 1205
 
4.4%
사 1062
 
3.9%
이 865
 
3.2%
회 795
 
2.9%
790
 
2.9%
식 748
 
2.7%
스 730
 
2.7%
지 600
 
2.2%
Other values (591) 17426
63.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 23841
87.2%
Close Punctuation 1208
 
4.4%
Open Punctuation 1205
 
4.4%
Space Separator 790
 
2.9%
Uppercase Letter 146
 
0.5%
Decimal Number 41
 
0.1%
Other Symbol 35
 
0.1%
Other Punctuation 35
 
0.1%
Lowercase Letter 34
 
0.1%
Connector Punctuation 3
 
< 0.1%
Other values (2) 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 1912
 
8.0%
사 1062
 
4.5%
이 865
 
3.6%
회 795
 
3.3%
식 748
 
3.1%
스 730
 
3.1%
지 600
 
2.5%
조 469
 
2.0%
인 422
 
1.8%
청 383
 
1.6%
Other values (534) 15855
66.5%
Uppercase Letter
ValueCountFrequency (%)
A 24
16.4%
O 22
15.1%
S 14
9.6%
K 12
8.2%
E 10
 
6.8%
C 8
 
5.5%
G 8
 
5.5%
T 7
 
4.8%
I 6
 
4.1%
H 6
 
4.1%
Other values (11) 29
19.9%
Lowercase Letter
ValueCountFrequency (%)
o 5
14.7%
n 4
11.8%
e 4
11.8%
s 4
11.8%
t 3
8.8%
y 2
 
5.9%
i 2
 
5.9%
u 2
 
5.9%
c 1
 
2.9%
h 1
 
2.9%
Other values (6) 6
17.6%
Decimal Number
ValueCountFrequency (%)
1 13
31.7%
8 9
22.0%
0 4
 
9.8%
5 3
 
7.3%
2 3
 
7.3%
4 3
 
7.3%
3 2
 
4.9%
6 2
 
4.9%
7 2
 
4.9%
Other Punctuation
ValueCountFrequency (%)
. 28
80.0%
, 4
 
11.4%
& 3
 
8.6%
Math Symbol
ValueCountFrequency (%)
< 1
50.0%
> 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 1208
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1205
100.0%
Space Separator
ValueCountFrequency (%)
790
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 35
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 23876
87.3%
Common 3285
 
12.0%
Latin 180
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 1912
 
8.0%
사 1062
 
4.4%
이 865
 
3.6%
회 795
 
3.3%
식 748
 
3.1%
스 730
 
3.1%
지 600
 
2.5%
조 469
 
2.0%
인 422
 
1.8%
청 383
 
1.6%
Other values (535) 15890
66.6%
Latin
ValueCountFrequency (%)
A 24
 
13.3%
O 22
 
12.2%
S 14
 
7.8%
K 12
 
6.7%
E 10
 
5.6%
C 8
 
4.4%
G 8
 
4.4%
T 7
 
3.9%
I 6
 
3.3%
H 6
 
3.3%
Other values (27) 63
35.0%
Common
ValueCountFrequency (%)
) 1208
36.8%
( 1205
36.7%
790
24.0%
. 28
 
0.9%
1 13
 
0.4%
8 9
 
0.3%
, 4
 
0.1%
0 4
 
0.1%
& 3
 
0.1%
5 3
 
0.1%
Other values (9) 18
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 23841
87.2%
ASCII 3465
 
12.7%
None 35
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 1912
 
8.0%
사 1062
 
4.5%
이 865
 
3.6%
회 795
 
3.3%
식 748
 
3.1%
스 730
 
3.1%
지 600
 
2.5%
조 469
 
2.0%
인 422
 
1.8%
청 383
 
1.6%
Other values (534) 15855
66.5%
ASCII
ValueCountFrequency (%)
) 1208
34.9%
( 1205
34.8%
790
22.8%
. 28
 
0.8%
A 24
 
0.7%
O 22
 
0.6%
S 14
 
0.4%
1 13
 
0.4%
K 12
 
0.3%
E 10
 
0.3%
Other values (46) 139
 
4.0%
None
ValueCountFrequency (%)
㈜ 35
100.0%

조달구분명
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size27.7 KiB
자체(전자)
2327 
자체(수기)
719 
조달
487 

Length

Max length6
Median length6
Mean length5.4486272
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row자체(전자)
2nd row자체(수기)
3rd row자체(전자)
4th row자체(전자)
5th row자체(수기)

Common Values

ValueCountFrequency (%)
자체(전자) 2327
65.9%
자체(수기) 719
 
20.4%
조달 487
 
13.8%

Length

2024-05-10T20:56:04.038819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T20:56:04.399493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
자체(전자 2327
65.9%
자체(수기 719
 
20.4%
조달 487
 
13.8%

주요도급사업자등록번호
Real number (ℝ)

Distinct1996
Distinct (%)56.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.8103062 × 109
Minimum1.0104418 × 109
Maximum8.9920008 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.2 KiB
2024-05-10T20:56:04.775465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.0104418 × 109
5-th percentile1.1181269 × 109
Q11.2504811 × 109
median1.3881323 × 109
Q34.1086688 × 109
95-th percentile7.8148002 × 109
Maximum8.9920008 × 109
Range7.981559 × 109
Interquartile range (IQR)2.8581876 × 109

Descriptive statistics

Standard deviation2.2508357 × 109
Coefficient of variation (CV)0.80092188
Kurtosis0.25570713
Mean2.8103062 × 109
Median Absolute Deviation (MAD)2.8952089 × 108
Skewness1.2670829
Sum9.9288119 × 1012
Variance5.0662615 × 1018
MonotonicityNot monotonic
2024-05-10T20:56:05.232251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1218300052 187
 
5.3%
1148301034 114
 
3.2%
5808801916 42
 
1.2%
1348158518 34
 
1.0%
1248100998 25
 
0.7%
2158605028 20
 
0.6%
3078106054 20
 
0.6%
2152121830 18
 
0.5%
5248601528 18
 
0.5%
6718101339 16
 
0.5%
Other values (1986) 3039
86.0%
ValueCountFrequency (%)
1010441826 1
 
< 0.1%
1010942719 1
 
< 0.1%
1011807198 1
 
< 0.1%
1013203015 1
 
< 0.1%
1018109147 2
0.1%
1018139767 3
0.1%
1018154225 1
 
< 0.1%
1018162991 1
 
< 0.1%
1018616828 1
 
< 0.1%
1018656607 4
0.1%
ValueCountFrequency (%)
8992000825 1
 
< 0.1%
8990701596 6
0.2%
8990701524 2
 
0.1%
8988800593 1
 
< 0.1%
8988700198 1
 
< 0.1%
8988101098 1
 
< 0.1%
8983700835 2
 
0.1%
8981201485 1
 
< 0.1%
8970602234 1
 
< 0.1%
8962501058 1
 
< 0.1%

Interactions

2024-05-10T20:55:44.749599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:55:38.750210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:55:40.216523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:55:41.759314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:55:43.136060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:55:45.031438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:55:38.991980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:55:40.512279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:55:42.031271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:55:43.586514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:55:45.345320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:55:39.298201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:55:40.802377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:55:42.328660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:55:43.883118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:55:45.612123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:55:39.573919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:55:41.141644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:55:42.578960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:55:44.149572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:55:45.911468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:55:39.870368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:55:41.438241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:55:42.852237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:55:44.445088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-10T20:56:05.555911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
계약대장관리아이디사업부서구분명사업부서관서명사업부서실국명계약종류구분명계약방법명계약일자계약금액준공일자조달구분명주요도급사업자등록번호
계약대장관리아이디1.0000.2820.4920.4120.9610.3440.2290.0830.1150.3050.100
사업부서구분명0.2821.0001.0000.9890.1430.3060.0940.2020.1670.2880.089
사업부서관서명0.4921.0001.0000.9990.5530.6170.4930.0000.5200.7560.253
사업부서실국명0.4120.9890.9991.0000.4530.6060.5110.1820.6810.6450.126
계약종류구분명0.9610.1430.5530.4531.0000.4210.2920.1650.1110.6280.124
계약방법명0.3440.3060.6170.6060.4211.0000.1960.0900.1440.5390.184
계약일자0.2290.0940.4930.5110.2920.1961.0000.0000.0210.1750.024
계약금액0.0830.2020.0000.1820.1650.0900.0001.0000.5100.1100.000
준공일자0.1150.1670.5200.6810.1110.1440.0210.5101.0000.0860.000
조달구분명0.3050.2880.7560.6450.6280.5390.1750.1100.0861.0000.173
주요도급사업자등록번호0.1000.0890.2530.1260.1240.1840.0240.0000.0000.1731.000
2024-05-10T20:56:05.894763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
계약종류구분명조달구분명사업부서구분명계약방법명
계약종류구분명1.0000.2940.1350.351
조달구분명0.2941.0000.2770.480
사업부서구분명0.1350.2771.0000.254
계약방법명0.3510.4800.2541.000
2024-05-10T20:56:06.173518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
계약대장관리아이디계약일자계약금액준공일자주요도급사업자등록번호사업부서구분명계약종류구분명계약방법명조달구분명
계약대장관리아이디1.0000.458-0.104-0.100-0.0920.1140.9990.2870.294
계약일자0.4581.000-0.031-0.0920.0180.0760.2300.0790.132
계약금액-0.104-0.0311.0000.2990.0400.1300.0730.0520.048
준공일자-0.100-0.0920.2991.000-0.0100.1360.0710.0890.055
주요도급사업자등록번호-0.0920.0180.040-0.0101.0000.0530.0740.0770.104
사업부서구분명0.1140.0760.1300.1360.0531.0000.1350.2540.277
계약종류구분명0.9990.2300.0730.0710.0740.1351.0000.3510.294
계약방법명0.2870.0790.0520.0890.0770.2540.3511.0000.480
조달구분명0.2940.1320.0480.0550.1040.2770.2940.4801.000

Missing values

2024-05-10T20:55:46.409246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-10T20:55:47.136658image/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.
2024-05-10T20:55:47.613410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

계약대장관리아이디계약회계년도계약부서명사업부서구분명사업부서관서명사업부서실국명사업부서명계약명계약종류구분명계약방법명계약일자계약금액준공일자계약업체명조달구분명주요도급사업자등록번호
02024003214692024화재예방과본청소방재난본부소방재난본부화재예방과소방특별사법경찰 수사용 소모품 구매물품일반경쟁20240223337590020240315세이드원자체(전자)7828102579
12024003206482024화재예방과본청소방재난본부소방재난본부화재예방과다국어 『재난유형별 행동요령 리플릿(41종)』제작 건의물품수의1인견적20240118902000020240131우리사자체(수기)1243774648
22024003136372024소방행정기획과본청북부소방재난본부북부소방재난본부예방과2024년 예방과 자산취득물품 구매 (사무용컴퓨터 2세트)물품일반경쟁20240509245800020240608서울지방조달청자체(전자)1148301034
32024003136342024관리과<NA><NA><NA><NA>과적차량 단속용 이동식 축중기(인디게이터 포함) 구매물품일반경쟁202405034162400020240702박종관(에프에이유니온)자체(전자)1341482281
42024003136322024평택소방서직속기관평택소방서소방서평택소방서2024년 2분기 구급용소모품(의약품) 구입 건의물품수의1인견적20240509994028020240531(주)금보메디넷자체(수기)2158717026
52024003136312024이천경찰서 경무과<NA>이천경찰서이천경찰서-재배정이천경찰서 경무과경비계 재난 상황 대비 장비 구매 대금물품수의1인견적2024041575000020240422주식회사 한컴라이프케어자체(전자)1358121955
62024003136302024회계장비담당관본청소방재난본부소방재난본부회계장비담당관구조장비(소방드론) 구매물품일반경쟁2024050957724850020240623서인상사자체(전자)4215100121
72024003136292024행정지원과직속기관농업기술원경기도농업기술원소득자원연구소경기 특화작목 RD 인프라 구축을 위한 온실환경제어시스템 구입건의물품수의2인이상견적202405032054296020240617도연컴퍼니자체(전자)2775101028
82024003136282024양평소방서직속기관양평소방서소방서양평소방서2024년 양평소방서 상반기 소방공무원 제복 조달 미등록 품목(부속물) 구입(주식회사 다원)물품수의1인견적202405091310910020240604주식회사 다원자체(수기)5808801916
92024003136272024행정지원과직속기관농업기술원경기도농업기술원원예연구과2024년 원예 품질고급화 기술 개발 시험재료 구입 건의물품수의2인이상견적202405081796408020240607(주)진성엘앤피자체(전자)1438109739
계약대장관리아이디계약회계년도계약부서명사업부서구분명사업부서관서명사업부서실국명사업부서명계약명계약종류구분명계약방법명계약일자계약금액준공일자계약업체명조달구분명주요도급사업자등록번호
35232024001103612024용인소방서직속기관용인소방서소방서용인소방서(본서)장애인편의시설(촉지도)설치공사 건의공사수의1인견적20240111104500020240111듀오앤자체(전자)1258199233
35242024001103292024안성소방서직속기관안성소방서소방서안성소방서현장지휘단 내 화장실 환경개선 전기공사 건의공사수의1인견적20240105214830020240202(주)태광이엔씨자체(전자)8468701008
35252024001103032024수원소방서직속기관수원소방서소방서수원소방서여직원 대기실 및 민원실 가구 제작 설치 건의공사수의1인견적20240110236500020240116라쿤디자인자체(수기)5290102700
35262024001102692024남양주소방서직속기관남양주소방서소방서남양주소방서본서 외벽 판넬 보수 공사 건의(품의)공사수의1인견적20240109484000020240111주식회사플로잉컴패니자체(전자)3628700141
35272024001102132024수원남부소방서직속기관수원남부소방서소방서수원남부소방서(남부)차고셔터 낙하방지장치 등 수리건의공사수의1인견적20240103225940020240110블루코스텍(주)자체(전자)2208842859
35282024001102072024안성소방서직속기관안성소방서소방서안성소방서현장지휘단 내 화장실 환경개선공사 계약체결 결과보고공사수의1인견적202401081449800020240202한일인테리어자체(전자)7814800154
35292024001101492024용인소방서직속기관용인소방서소방서용인소방서(이동) 2층 식당 하수배관 고압셍척 통수 작업 계약 건의공사수의1인견적20240105132000020240105국일하수구자체(전자)6866700092
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