Overview

Dataset statistics

Number of variables24
Number of observations10000
Missing cells75076
Missing cells (%)31.3%
Duplicate rows131
Duplicate rows (%)1.3%
Total size in memory2.0 MiB
Average record size in memory209.0 B

Variable types

Categorical9
Text7
Numeric8

Dataset

Description경기도 지출집행 현황(일반지출)
Author경기도
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=6OCWFQQYK6U2PD0FKSMV27162290&infSeq=1

Alerts

회계연도 has constant value ""Constant
부서구분명 has constant value ""Constant
경비구분명 has constant value ""Constant
Dataset has 131 (1.3%) duplicate rowsDuplicates
회계구분명 is highly imbalanced (73.6%)Imbalance
계약종류명 is highly imbalanced (95.8%)Imbalance
계약방법명 is highly imbalanced (96.9%)Imbalance
조달구분명 is highly imbalanced (96.6%)Imbalance
계약명 has 9931 (99.3%) missing valuesMissing
총괄계약일자 has 9931 (99.3%) missing valuesMissing
총괄계약합계금액 has 9931 (99.3%) missing valuesMissing
준공일자 has 9931 (99.3%) missing valuesMissing
계약거래처명 has 9931 (99.3%) missing valuesMissing
계약번호 has 9931 (99.3%) missing valuesMissing
계약대장관리번호 has 9926 (99.3%) missing valuesMissing
사업자등록번호 has 5564 (55.6%) missing valuesMissing
지출금액 is highly skewed (γ1 = 49.5739475)Skewed

Reproduction

Analysis started2024-04-11 03:07:21.928581
Analysis finished2024-04-11 03:07:23.363343
Duration1.43 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

회계연도
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024
10000 

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 10000
100.0%

Length

2024-04-11T12:07:23.437031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-11T12:07:23.518408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024 10000
100.0%

회계구분명
Categorical

IMBALANCE 

Distinct23
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
일반회계
5823 
소방안전
3953 
재난관리기금
 
38
청소년육성기금
 
25
식품진흥기금
 
25
Other values (18)
 
136

Length

Max length15
Median length4
Mean length4.0539
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반회계 5823
58.2%
소방안전 3953
39.5%
재난관리기금 38
 
0.4%
청소년육성기금 25
 
0.2%
식품진흥기금 25
 
0.2%
의료급여기금 19
 
0.2%
사회적경제기금 16
 
0.2%
환경보전기금 13
 
0.1%
노인복지사업 11
 
0.1%
지역개발기금 11
 
0.1%
Other values (13) 66
 
0.7%

Length

2024-04-11T12:07:23.603092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
일반회계 5823
58.2%
소방안전 3953
39.5%
재난관리기금 38
 
0.4%
청소년육성기금 25
 
0.2%
식품진흥기금 25
 
0.2%
의료급여기금 19
 
0.2%
사회적경제기금 16
 
0.2%
환경보전기금 13
 
0.1%
노인복지사업 11
 
0.1%
지역개발기금 11
 
0.1%
Other values (13) 66
 
0.7%

부서구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
본청
10000 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
본청 10000
100.0%

Length

2024-04-11T12:07:23.702432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-11T12:07:23.778024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
본청 10000
100.0%

관서명
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
본청
6034 
소방재난본부
3791 
북부소방재난본부
 
164
북부청
 
11

Length

Max length8
Median length2
Mean length3.6159
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
본청 6034
60.3%
소방재난본부 3791
37.9%
북부소방재난본부 164
 
1.6%
북부청 11
 
0.1%

Length

2024-04-11T12:07:23.868798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-11T12:07:23.971579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
본청 6034
60.3%
소방재난본부 3791
37.9%
북부소방재난본부 164
 
1.6%
북부청 11
 
0.1%

실국명
Categorical

Distinct25
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
소방재난본부
3791 
복지국
2289 
여성가족국
1120 
보건건강국
424 
자치행정국
 
348
Other values (20)
2028 

Length

Max length9
Median length8
Mean length5.1543
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row자치행정국
2nd row여성가족국
3rd row복지국
4th row복지국
5th row복지국

Common Values

ValueCountFrequency (%)
소방재난본부 3791
37.9%
복지국 2289
22.9%
여성가족국 1120
 
11.2%
보건건강국 424
 
4.2%
자치행정국 348
 
3.5%
평생교육국 301
 
3.0%
농수산생명과학국 239
 
2.4%
사회적경제국 221
 
2.2%
문화체육관광국 202
 
2.0%
기후환경에너지국 180
 
1.8%
Other values (15) 885
 
8.8%

Length

2024-04-11T12:07:24.089906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
소방재난본부 3791
37.9%
복지국 2289
22.9%
여성가족국 1120
 
11.2%
보건건강국 424
 
4.2%
자치행정국 348
 
3.5%
평생교육국 301
 
3.0%
농수산생명과학국 239
 
2.4%
사회적경제국 221
 
2.2%
문화체육관광국 202
 
2.0%
기후환경에너지국 180
 
1.8%
Other values (15) 885
 
8.8%

부서명
Text

Distinct110
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-11T12:07:24.340055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length5.9891
Min length3

Characters and Unicode

Total characters59891
Distinct characters168
Distinct categories3 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row인사과
2nd row보육정책과
3rd row장애인자립지원과
4th row장애인복지과
5th row복지사업과
ValueCountFrequency (%)
회계장비담당관 3669
36.7%
복지정책과 990
 
9.9%
아동돌봄과 486
 
4.9%
장애인복지과 415
 
4.2%
복지사업과 386
 
3.9%
노인복지과 327
 
3.3%
보육정책과 316
 
3.2%
가족다문화과 249
 
2.5%
청소년과 178
 
1.8%
정신건강과 178
 
1.8%
Other values (100) 2806
28.1%
2024-04-11T12:07:24.738484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
과 5912
 
9.9%
장 4255
 
7.1%
관 4220
 
7.0%
담 3967
 
6.6%
당 3967
 
6.6%
회 3939
 
6.6%
계 3742
 
6.2%
비 3695
 
6.2%
지 2500
 
4.2%
정 2376
 
4.0%
Other values (158) 21318
35.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 59849
99.9%
Decimal Number 30
 
0.1%
Uppercase Letter 12
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 5912
 
9.9%
장 4255
 
7.1%
관 4220
 
7.1%
담 3967
 
6.6%
당 3967
 
6.6%
회 3939
 
6.6%
계 3742
 
6.3%
비 3695
 
6.2%
지 2500
 
4.2%
정 2376
 
4.0%
Other values (154) 21276
35.5%
Decimal Number
ValueCountFrequency (%)
1 20
66.7%
9 10
33.3%
Uppercase Letter
ValueCountFrequency (%)
I 6
50.0%
A 6
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 59849
99.9%
Common 30
 
0.1%
Latin 12
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 5912
 
9.9%
장 4255
 
7.1%
관 4220
 
7.1%
담 3967
 
6.6%
당 3967
 
6.6%
회 3939
 
6.6%
계 3742
 
6.3%
비 3695
 
6.2%
지 2500
 
4.2%
정 2376
 
4.0%
Other values (154) 21276
35.5%
Common
ValueCountFrequency (%)
1 20
66.7%
9 10
33.3%
Latin
ValueCountFrequency (%)
I 6
50.0%
A 6
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 59849
99.9%
ASCII 42
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
과 5912
 
9.9%
장 4255
 
7.1%
관 4220
 
7.1%
담 3967
 
6.6%
당 3967
 
6.6%
회 3939
 
6.6%
계 3742
 
6.3%
비 3695
 
6.2%
지 2500
 
4.2%
정 2376
 
4.0%
Other values (154) 21276
35.5%
ASCII
ValueCountFrequency (%)
1 20
47.6%
9 10
23.8%
I 6
 
14.3%
A 6
 
14.3%

경비구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
일반지출
10000 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반지출 10000
100.0%

Length

2024-04-11T12:07:24.861368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-11T12:07:24.937862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반지출 10000
100.0%

세부사업명
Text

Distinct1013
Distinct (%)10.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-11T12:07:25.198763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length39
Mean length16.6653
Min length2

Characters and Unicode

Total characters166653
Distinct characters486
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique368 ?
Unique (%)3.7%

Sample

1st row모범공무원 등 포상지원(자체/직접)
2nd row영아 표준보육과정 프로그램 지원(자체/지원)
3rd row장애인직업재활시설 지원(자체/지원)
4th row장애인거주시설 운영 지원(자체/지원)
5th row근로능력 있는 수급자의 탈수급 지원(국비/지원)
ValueCountFrequency (%)
직무수행경비(자체/직접 3482
 
16.5%
지원(자체/지원 1129
 
5.4%
지원(자체/직접 927
 
4.4%
보훈대상자 657
 
3.1%
지원(국비/지원 364
 
1.7%
및 335
 
1.6%
운영 263
 
1.2%
운영(자체/직접 236
 
1.1%
지원(균특/지원 217
 
1.0%
등 207
 
1.0%
Other values (1754) 13251
62.9%
2024-04-11T12:07:25.631952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11070
 
6.6%
) 9886
 
5.9%
( 9886
 
5.9%
/ 9387
 
5.6%
자 9299
 
5.6%
직 9212
 
5.5%
지 9074
 
5.4%
원 8277
 
5.0%
체 7732
 
4.6%
비 5855
 
3.5%
Other values (476) 76975
46.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 125863
75.5%
Space Separator 11070
 
6.6%
Close Punctuation 9893
 
5.9%
Open Punctuation 9893
 
5.9%
Other Punctuation 9561
 
5.7%
Decimal Number 187
 
0.1%
Uppercase Letter 168
 
0.1%
Dash Punctuation 6
 
< 0.1%
Lowercase Letter 6
 
< 0.1%
Math Symbol 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
자 9299
 
7.4%
직 9212
 
7.3%
지 9074
 
7.2%
원 8277
 
6.6%
체 7732
 
6.1%
비 5855
 
4.7%
접 5522
 
4.4%
수 4312
 
3.4%
경 4089
 
3.2%
무 3918
 
3.1%
Other values (433) 58573
46.5%
Uppercase Letter
ValueCountFrequency (%)
G 30
17.9%
P 23
13.7%
T 22
13.1%
C 16
9.5%
A 15
8.9%
I 12
 
7.1%
D 11
 
6.5%
S 10
 
6.0%
L 8
 
4.8%
V 5
 
3.0%
Other values (7) 16
9.5%
Other Punctuation
ValueCountFrequency (%)
/ 9387
98.2%
· 111
 
1.2%
, 49
 
0.5%
. 8
 
0.1%
" 2
 
< 0.1%
: 2
 
< 0.1%
& 1
 
< 0.1%
? 1
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
1 50
26.7%
0 47
25.1%
9 26
13.9%
2 19
 
10.2%
6 18
 
9.6%
5 12
 
6.4%
4 8
 
4.3%
3 7
 
3.7%
Close Punctuation
ValueCountFrequency (%)
) 9886
99.9%
」 7
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 9886
99.9%
「 7
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
l 3
50.0%
o 3
50.0%
Space Separator
ValueCountFrequency (%)
11070
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 125863
75.5%
Common 40616
 
24.4%
Latin 174
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
자 9299
 
7.4%
직 9212
 
7.3%
지 9074
 
7.2%
원 8277
 
6.6%
체 7732
 
6.1%
비 5855
 
4.7%
접 5522
 
4.4%
수 4312
 
3.4%
경 4089
 
3.2%
무 3918
 
3.1%
Other values (433) 58573
46.5%
Common
ValueCountFrequency (%)
11070
27.3%
) 9886
24.3%
( 9886
24.3%
/ 9387
23.1%
· 111
 
0.3%
1 50
 
0.1%
, 49
 
0.1%
0 47
 
0.1%
9 26
 
0.1%
2 19
 
< 0.1%
Other values (14) 85
 
0.2%
Latin
ValueCountFrequency (%)
G 30
17.2%
P 23
13.2%
T 22
12.6%
C 16
9.2%
A 15
8.6%
I 12
 
6.9%
D 11
 
6.3%
S 10
 
5.7%
L 8
 
4.6%
V 5
 
2.9%
Other values (9) 22
12.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 125854
75.5%
ASCII 40665
 
24.4%
None 125
 
0.1%
Compat Jamo 9
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11070
27.2%
) 9886
24.3%
( 9886
24.3%
/ 9387
23.1%
1 50
 
0.1%
, 49
 
0.1%
0 47
 
0.1%
G 30
 
0.1%
9 26
 
0.1%
P 23
 
0.1%
Other values (30) 211
 
0.5%
Hangul
ValueCountFrequency (%)
자 9299
 
7.4%
직 9212
 
7.3%
지 9074
 
7.2%
원 8277
 
6.6%
체 7732
 
6.1%
비 5855
 
4.7%
접 5522
 
4.4%
수 4312
 
3.4%
경 4089
 
3.2%
무 3918
 
3.1%
Other values (432) 58564
46.5%
None
ValueCountFrequency (%)
· 111
88.8%
」 7
 
5.6%
「 7
 
5.6%
Compat Jamo
ValueCountFrequency (%)
ㆍ 9
100.0%

통계목명
Text

Distinct64
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-11T12:07:25.836263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length20
Mean length9.1095
Min length2

Characters and Unicode

Total characters91095
Distinct characters109
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)0.1%

Sample

1st row포상금
2nd row자치단체경상보조금
3rd row자치단체경상보조금
4th row자치단체경상보조금
5th row자치단체경상보조금
ValueCountFrequency (%)
특정업무경비 3489
30.8%
자치단체경상보조금 3237
28.6%
사회보장적수혜금(취약계층 1302
 
11.5%
지방재원 1302
 
11.5%
자치단체자본보조 308
 
2.7%
사무관리비 288
 
2.5%
공기관등에대한경상적위탁사업비 151
 
1.3%
공공운영비 130
 
1.1%
직책급업무수행경비 126
 
1.1%
국내여비 123
 
1.1%
Other values (61) 875
 
7.7%
2024-04-11T12:07:26.184751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
경 7047
 
7.7%
보 5193
 
5.7%
금 4968
 
5.5%
비 4626
 
5.1%
무 4117
 
4.5%
업 4010
 
4.4%
자 3943
 
4.3%
조 3730
 
4.1%
체 3563
 
3.9%
단 3562
 
3.9%
Other values (99) 46336
50.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 85670
94.0%
Close Punctuation 1395
 
1.5%
Open Punctuation 1395
 
1.5%
Space Separator 1331
 
1.5%
Other Punctuation 1304
 
1.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 7047
 
8.2%
보 5193
 
6.1%
금 4968
 
5.8%
비 4626
 
5.4%
무 4117
 
4.8%
업 4010
 
4.7%
자 3943
 
4.6%
조 3730
 
4.4%
체 3563
 
4.2%
단 3562
 
4.2%
Other values (94) 40911
47.8%
Other Punctuation
ValueCountFrequency (%)
, 1302
99.8%
· 2
 
0.2%
Close Punctuation
ValueCountFrequency (%)
) 1395
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1395
100.0%
Space Separator
ValueCountFrequency (%)
1331
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 85670
94.0%
Common 5425
 
6.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 7047
 
8.2%
보 5193
 
6.1%
금 4968
 
5.8%
비 4626
 
5.4%
무 4117
 
4.8%
업 4010
 
4.7%
자 3943
 
4.6%
조 3730
 
4.4%
체 3563
 
4.2%
단 3562
 
4.2%
Other values (94) 40911
47.8%
Common
ValueCountFrequency (%)
) 1395
25.7%
( 1395
25.7%
1331
24.5%
, 1302
24.0%
· 2
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 85653
94.0%
ASCII 5423
 
6.0%
Compat Jamo 17
 
< 0.1%
None 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
경 7047
 
8.2%
보 5193
 
6.1%
금 4968
 
5.8%
비 4626
 
5.4%
무 4117
 
4.8%
업 4010
 
4.7%
자 3943
 
4.6%
조 3730
 
4.4%
체 3563
 
4.2%
단 3562
 
4.2%
Other values (93) 40894
47.7%
ASCII
ValueCountFrequency (%)
) 1395
25.7%
( 1395
25.7%
1331
24.5%
, 1302
24.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 17
100.0%
None
ValueCountFrequency (%)
· 2
100.0%

지출개요
Text

Distinct1701
Distinct (%)17.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-11T12:07:26.422546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length69
Median length59
Mean length31.8477
Min length9

Characters and Unicode

Total characters318477
Distinct characters541
Distinct categories16 ?
Distinct scripts3 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique731 ?
Unique (%)7.3%

Sample

1st row2024년 3월 모범공무원 수당 지급 건의
2nd row2024년 영아 표준보육과정 프로그램 지원 교부결정 및 자금교부(1차)
3rd row2024년도 1분기 장애인직업재활시설 지원 사업 도비보조금 교부결정 및 자금교부
4th row2024년 1분기 장애인 단기거주시설 운영 도비보조금 교부결정 및 자금교부
5th row2024년 근로·능력있는수급자의탈수급지원 교부결정 및 자금교부(1분기/2차/내일키움통장)
ValueCountFrequency (%)
2024년 8896
 
15.5%
및 4102
 
7.2%
3월분 3632
 
6.3%
교부결정 3158
 
5.5%
특정업무경비(방호활동비 2166
 
3.8%
특정업무경비 1313
 
2.3%
지급(구조구급활동비 1289
 
2.3%
자금교부(1차 1285
 
2.2%
보조금 1186
 
2.1%
자금교부 926
 
1.6%
Other values (2550) 29298
51.2%
2024-04-11T12:07:26.801612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
47339
 
14.9%
2 20589
 
6.5%
비 11356
 
3.6%
년 9880
 
3.1%
4 9756
 
3.1%
0 9547
 
3.0%
) 8587
 
2.7%
( 8587
 
2.7%
교 8013
 
2.5%
부 7942
 
2.5%
Other values (531) 176881
55.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 203585
63.9%
Decimal Number 48153
 
15.1%
Space Separator 47339
 
14.9%
Close Punctuation 8737
 
2.7%
Open Punctuation 8737
 
2.7%
Other Punctuation 1493
 
0.5%
Uppercase Letter 179
 
0.1%
Letter Number 78
 
< 0.1%
Connector Punctuation 40
 
< 0.1%
Dash Punctuation 36
 
< 0.1%
Other values (6) 100
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
비 11356
 
5.6%
년 9880
 
4.9%
교 8013
 
3.9%
부 7942
 
3.9%
정 7674
 
3.8%
금 7553
 
3.7%
지 7338
 
3.6%
업 5702
 
2.8%
자 5658
 
2.8%
경 4975
 
2.4%
Other values (471) 127494
62.6%
Uppercase Letter
ValueCountFrequency (%)
G 34
19.0%
P 21
11.7%
A 18
10.1%
C 18
10.1%
T 18
10.1%
I 17
9.5%
O 12
 
6.7%
L 9
 
5.0%
S 6
 
3.4%
D 4
 
2.2%
Other values (10) 22
12.3%
Decimal Number
ValueCountFrequency (%)
2 20589
42.8%
4 9756
20.3%
0 9547
19.8%
3 4647
 
9.7%
1 3440
 
7.1%
5 51
 
0.1%
9 45
 
0.1%
6 41
 
0.1%
8 34
 
0.1%
7 3
 
< 0.1%
Other Punctuation
ValueCountFrequency (%)
. 595
39.9%
· 318
21.3%
/ 258
17.3%
, 165
 
11.1%
' 109
 
7.3%
: 43
 
2.9%
? 4
 
0.3%
* 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 8587
98.3%
」 125
 
1.4%
』 20
 
0.2%
] 5
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 8587
98.3%
「 125
 
1.4%
『 20
 
0.2%
[ 5
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
e 13
65.0%
o 3
 
15.0%
l 3
 
15.0%
n 1
 
5.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 46
59.0%
Ⅰ 32
41.0%
Space Separator
ValueCountFrequency (%)
47339
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 40
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 36
100.0%
Math Symbol
ValueCountFrequency (%)
~ 36
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 17
100.0%
Other Symbol
ValueCountFrequency (%)
○ 16
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 9
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 203585
63.9%
Common 114615
36.0%
Latin 277
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
비 11356
 
5.6%
년 9880
 
4.9%
교 8013
 
3.9%
부 7942
 
3.9%
정 7674
 
3.8%
금 7553
 
3.7%
지 7338
 
3.6%
업 5702
 
2.8%
자 5658
 
2.8%
경 4975
 
2.4%
Other values (471) 127494
62.6%
Common
ValueCountFrequency (%)
47339
41.3%
2 20589
18.0%
4 9756
 
8.5%
0 9547
 
8.3%
) 8587
 
7.5%
( 8587
 
7.5%
3 4647
 
4.1%
1 3440
 
3.0%
. 595
 
0.5%
· 318
 
0.3%
Other values (24) 1210
 
1.1%
Latin
ValueCountFrequency (%)
Ⅱ 46
16.6%
G 34
12.3%
Ⅰ 32
11.6%
P 21
7.6%
A 18
 
6.5%
C 18
 
6.5%
T 18
 
6.5%
I 17
 
6.1%
e 13
 
4.7%
O 12
 
4.3%
Other values (16) 48
17.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 203581
63.9%
ASCII 114171
35.8%
None 608
 
0.2%
Number Forms 78
 
< 0.1%
Punctuation 19
 
< 0.1%
Geometric Shapes 16
 
< 0.1%
Compat Jamo 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
47339
41.5%
2 20589
18.0%
4 9756
 
8.5%
0 9547
 
8.4%
) 8587
 
7.5%
( 8587
 
7.5%
3 4647
 
4.1%
1 3440
 
3.0%
. 595
 
0.5%
/ 258
 
0.2%
Other values (40) 826
 
0.7%
Hangul
ValueCountFrequency (%)
비 11356
 
5.6%
년 9880
 
4.9%
교 8013
 
3.9%
부 7942
 
3.9%
정 7674
 
3.8%
금 7553
 
3.7%
지 7338
 
3.6%
업 5702
 
2.8%
자 5658
 
2.8%
경 4975
 
2.4%
Other values (470) 127490
62.6%
None
ValueCountFrequency (%)
· 318
52.3%
「 125
 
20.6%
」 125
 
20.6%
』 20
 
3.3%
『 20
 
3.3%
Number Forms
ValueCountFrequency (%)
Ⅱ 46
59.0%
Ⅰ 32
41.0%
Punctuation
ValueCountFrequency (%)
’ 17
89.5%
‘ 2
 
10.5%
Geometric Shapes
ValueCountFrequency (%)
○ 16
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 4
100.0%

지출금액
Real number (ℝ)

SKEWED 

Distinct3532
Distinct (%)35.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.6067127 × 108
Minimum-96000000
Maximum2.7794333 × 1011
Zeros0
Zeros (%)0.0%
Negative18
Negative (%)0.2%
Memory size166.0 KiB
2024-04-11T12:07:26.919925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-96000000
5-th percentile100000
Q1170000
median400000
Q312122000
95-th percentile3.810963 × 108
Maximum2.7794333 × 1011
Range2.7803933 × 1011
Interquartile range (IQR)11952000

Descriptive statistics

Standard deviation4.3604891 × 109
Coefficient of variation (CV)16.727923
Kurtosis2852.619
Mean2.6067127 × 108
Median Absolute Deviation (MAD)340000
Skewness49.573948
Sum2.6067127 × 1012
Variance1.9013865 × 1019
MonotonicityNot monotonic
2024-04-11T12:07:27.044689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
170000 2069
 
20.7%
200000 1255
 
12.6%
100000 874
 
8.7%
50000 74
 
0.7%
400000 73
 
0.7%
600000 66
 
0.7%
10000000 59
 
0.6%
3000000 58
 
0.6%
300000 45
 
0.4%
10960 43
 
0.4%
Other values (3522) 5384
53.8%
ValueCountFrequency (%)
-96000000 1
< 0.1%
-3600000 1
< 0.1%
-1410000 1
< 0.1%
-636940 1
< 0.1%
-586320 1
< 0.1%
-545970 1
< 0.1%
-494000 1
< 0.1%
-354550 1
< 0.1%
-338990 1
< 0.1%
-300000 1
< 0.1%
ValueCountFrequency (%)
277943331270 1
< 0.1%
250503160000 1
< 0.1%
134122265000 1
< 0.1%
103500000000 1
< 0.1%
40000000000 1
< 0.1%
37349236000 1
< 0.1%
35884078000 1
< 0.1%
34575000000 1
< 0.1%
33828740000 1
< 0.1%
32655382000 1
< 0.1%

지급명령일자
Real number (ℝ)

Distinct65
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20240265
Minimum20240102
Maximum20240405
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-11T12:07:27.167839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20240102
5-th percentile20240118
Q120240206
median20240315
Q320240329
95-th percentile20240329
Maximum20240405
Range303
Interquartile range (IQR)123

Descriptive statistics

Standard deviation85.521747
Coefficient of variation (CV)4.2253274 × 10-6
Kurtosis-0.98919226
Mean20240265
Median Absolute Deviation (MAD)14
Skewness-0.62291348
Sum2.0240265 × 1011
Variance7313.9692
MonotonicityNot monotonic
2024-04-11T12:07:27.297101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20240329 3687
36.9%
20240229 511
 
5.1%
20240119 322
 
3.2%
20240122 246
 
2.5%
20240201 235
 
2.4%
20240205 217
 
2.2%
20240126 193
 
1.9%
20240117 161
 
1.6%
20240322 159
 
1.6%
20240123 159
 
1.6%
Other values (55) 4110
41.1%
ValueCountFrequency (%)
20240102 2
 
< 0.1%
20240104 6
 
0.1%
20240105 8
 
0.1%
20240108 17
 
0.2%
20240109 12
 
0.1%
20240110 25
0.2%
20240111 46
0.5%
20240112 43
0.4%
20240115 42
0.4%
20240116 30
0.3%
ValueCountFrequency (%)
20240405 86
 
0.9%
20240404 94
 
0.9%
20240403 61
 
0.6%
20240402 81
 
0.8%
20240401 58
 
0.6%
20240329 3687
36.9%
20240328 154
 
1.5%
20240327 63
 
0.6%
20240326 68
 
0.7%
20240325 140
 
1.4%

거래처명
Text

Distinct555
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-11T12:07:27.463383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length3
Mean length4.7413
Min length1

Characters and Unicode

Total characters47413
Distinct characters397
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

Unique291 ?
Unique (%)2.9%

Sample

1st row***
2nd row안산시장일반회계
3rd row경기도 안산시
4th row양평군청
5th row김포시
ValueCountFrequency (%)
5656
54.6%
경기도 212
 
2.0%
용인시 103
 
1.0%
부천시 99
 
1.0%
광명시청 95
 
0.9%
시흥시청 87
 
0.8%
이천시장 84
 
0.8%
성남시 81
 
0.8%
평택시장 81
 
0.8%
안성시장 78
 
0.8%
Other values (544) 3792
36.6%
2024-04-11T12:07:27.767421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 23149
48.8%
시 3472
 
7.3%
청 1139
 
2.4%
장 1023
 
2.2%
천 688
 
1.5%
주 686
 
1.4%
경 665
 
1.4%
양 561
 
1.2%
일 502
 
1.1%
/ 467
 
1.0%
Other values (387) 15061
31.8%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 23623
49.8%
Other Letter 22856
48.2%
Space Separator 381
 
0.8%
Close Punctuation 218
 
0.5%
Open Punctuation 213
 
0.4%
Decimal Number 57
 
0.1%
Uppercase Letter 51
 
0.1%
Connector Punctuation 6
 
< 0.1%
Lowercase Letter 4
 
< 0.1%
Other Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 3472
 
15.2%
청 1139
 
5.0%
장 1023
 
4.5%
천 688
 
3.0%
주 686
 
3.0%
경 665
 
2.9%
양 561
 
2.5%
일 502
 
2.2%
군 454
 
2.0%
기 430
 
1.9%
Other values (343) 13236
57.9%
Uppercase Letter
ValueCountFrequency (%)
I 9
17.6%
A 7
13.7%
C 7
13.7%
H 4
7.8%
N 4
7.8%
K 4
7.8%
E 2
 
3.9%
Y 2
 
3.9%
U 2
 
3.9%
R 2
 
3.9%
Other values (8) 8
15.7%
Decimal Number
ValueCountFrequency (%)
1 25
43.9%
9 9
 
15.8%
2 7
 
12.3%
4 6
 
10.5%
6 4
 
7.0%
3 4
 
7.0%
8 1
 
1.8%
5 1
 
1.8%
Other Punctuation
ValueCountFrequency (%)
* 23149
98.0%
/ 467
 
2.0%
． 4
 
< 0.1%
& 1
 
< 0.1%
, 1
 
< 0.1%
' 1
 
< 0.1%
Lowercase Letter
ValueCountFrequency (%)
y 1
25.0%
a 1
25.0%
l 1
25.0%
p 1
25.0%
Close Punctuation
ValueCountFrequency (%)
) 212
97.2%
） 6
 
2.8%
Open Punctuation
ValueCountFrequency (%)
( 209
98.1%
（ 4
 
1.9%
Space Separator
ValueCountFrequency (%)
381
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 6
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 3
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 24499
51.7%
Hangul 22859
48.2%
Latin 55
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 3472
 
15.2%
청 1139
 
5.0%
장 1023
 
4.5%
천 688
 
3.0%
주 686
 
3.0%
경 665
 
2.9%
양 561
 
2.5%
일 502
 
2.2%
군 454
 
2.0%
기 430
 
1.9%
Other values (344) 13239
57.9%
Latin
ValueCountFrequency (%)
I 9
16.4%
A 7
12.7%
C 7
12.7%
H 4
 
7.3%
N 4
 
7.3%
K 4
 
7.3%
E 2
 
3.6%
Y 2
 
3.6%
U 2
 
3.6%
R 2
 
3.6%
Other values (12) 12
21.8%
Common
ValueCountFrequency (%)
* 23149
94.5%
/ 467
 
1.9%
381
 
1.6%
) 212
 
0.9%
( 209
 
0.9%
1 25
 
0.1%
9 9
 
< 0.1%
2 7
 
< 0.1%
4 6
 
< 0.1%
） 6
 
< 0.1%
Other values (11) 28
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 24540
51.8%
Hangul 22856
48.2%
None 17
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 23149
94.3%
/ 467
 
1.9%
381
 
1.6%
) 212
 
0.9%
( 209
 
0.9%
1 25
 
0.1%
I 9
 
< 0.1%
9 9
 
< 0.1%
A 7
 
< 0.1%
C 7
 
< 0.1%
Other values (30) 65
 
0.3%
Hangul
ValueCountFrequency (%)
시 3472
 
15.2%
청 1139
 
5.0%
장 1023
 
4.5%
천 688
 
3.0%
주 686
 
3.0%
경 665
 
2.9%
양 561
 
2.5%
일 502
 
2.2%
군 454
 
2.0%
기 430
 
1.9%
Other values (343) 13236
57.9%
None
ValueCountFrequency (%)
） 6
35.3%
． 4
23.5%
（ 4
23.5%
㈜ 3
17.6%

계약명
Text

MISSING 

Distinct57
Distinct (%)82.6%
Missing9931
Missing (%)99.3%
Memory size156.2 KiB
2024-04-11T12:07:27.977849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length35
Mean length27.318841
Min length14

Characters and Unicode

Total characters1885
Distinct characters229
Distinct categories10 ?
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 (%)69.6%

Sample

1st row구급장비(구급차용 소독기) 40점 구매 1/2
2nd row2024년 소방행정기획과 공기청정기 임차
3rd row2024년 소방공무원 찾아가는 상담실 용역사업 집행계획(e-호조 연계)
4th row'24년 화재안전조사 전문서 강화 장비 구매 품의
5th row북부본부 이동점검반 운영물품(소모품 28종) 구입
ValueCountFrequency (%)
2024년 31
 
8.5%
용역 15
 
4.1%
구입 12
 
3.3%
경기도 10
 
2.7%
유지관리 10
 
2.7%
및 8
 
2.2%
임차 8
 
2.2%
구매 6
 
1.6%
용역(2차년도 5
 
1.4%
2024년도 5
 
1.4%
Other values (165) 255
69.9%
2024-04-11T12:07:28.302470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
300
 
15.9%
2 104
 
5.5%
년 53
 
2.8%
기 52
 
2.8%
4 47
 
2.5%
0 47
 
2.5%
용 39
 
2.1%
) 37
 
2.0%
( 37
 
2.0%
구 33
 
1.8%
Other values (219) 1136
60.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1265
67.1%
Space Separator 300
 
15.9%
Decimal Number 213
 
11.3%
Close Punctuation 37
 
2.0%
Open Punctuation 37
 
2.0%
Uppercase Letter 13
 
0.7%
Other Punctuation 12
 
0.6%
Math Symbol 4
 
0.2%
Lowercase Letter 2
 
0.1%
Dash Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
년 53
 
4.2%
기 52
 
4.1%
용 39
 
3.1%
구 33
 
2.6%
도 31
 
2.5%
사 29
 
2.3%
역 29
 
2.3%
스 25
 
2.0%
지 25
 
2.0%
경 24
 
1.9%
Other values (190) 925
73.1%
Uppercase Letter
ValueCountFrequency (%)
C 2
15.4%
P 2
15.4%
D 1
7.7%
E 1
7.7%
L 1
7.7%
I 1
7.7%
S 1
7.7%
W 1
7.7%
A 1
7.7%
F 1
7.7%
Decimal Number
ValueCountFrequency (%)
2 104
48.8%
4 47
22.1%
0 47
22.1%
1 5
 
2.3%
3 4
 
1.9%
8 4
 
1.9%
7 1
 
0.5%
9 1
 
0.5%
Other Punctuation
ValueCountFrequency (%)
, 5
41.7%
? 3
25.0%
/ 2
 
16.7%
' 2
 
16.7%
Space Separator
ValueCountFrequency (%)
300
100.0%
Close Punctuation
ValueCountFrequency (%)
) 37
100.0%
Open Punctuation
ValueCountFrequency (%)
( 37
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1265
67.1%
Common 605
32.1%
Latin 15
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
년 53
 
4.2%
기 52
 
4.1%
용 39
 
3.1%
구 33
 
2.6%
도 31
 
2.5%
사 29
 
2.3%
역 29
 
2.3%
스 25
 
2.0%
지 25
 
2.0%
경 24
 
1.9%
Other values (190) 925
73.1%
Common
ValueCountFrequency (%)
300
49.6%
2 104
 
17.2%
4 47
 
7.8%
0 47
 
7.8%
) 37
 
6.1%
( 37
 
6.1%
1 5
 
0.8%
, 5
 
0.8%
~ 4
 
0.7%
3 4
 
0.7%
Other values (7) 15
 
2.5%
Latin
ValueCountFrequency (%)
C 2
13.3%
e 2
13.3%
P 2
13.3%
D 1
6.7%
E 1
6.7%
L 1
6.7%
I 1
6.7%
S 1
6.7%
W 1
6.7%
A 1
6.7%
Other values (2) 2
13.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1265
67.1%
ASCII 620
32.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
300
48.4%
2 104
 
16.8%
4 47
 
7.6%
0 47
 
7.6%
) 37
 
6.0%
( 37
 
6.0%
1 5
 
0.8%
, 5
 
0.8%
~ 4
 
0.6%
3 4
 
0.6%
Other values (19) 30
 
4.8%
Hangul
ValueCountFrequency (%)
년 53
 
4.2%
기 52
 
4.1%
용 39
 
3.1%
구 33
 
2.6%
도 31
 
2.5%
사 29
 
2.3%
역 29
 
2.3%
스 25
 
2.0%
지 25
 
2.0%
경 24
 
1.9%
Other values (190) 925
73.1%

계약종류명
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9931 
용역
 
43
물품
 
26

Length

Max length4
Median length4
Mean length3.9862
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9931
99.3%
용역 43
 
0.4%
물품 26
 
0.3%

Length

2024-04-11T12:07:28.426100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-11T12:07:28.522373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9931
99.3%
용역 43
 
0.4%
물품 26
 
0.3%

계약방법명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9931 
일반경쟁
 
30
수의1인견적
 
24
제한경쟁
 
10
수의2인이상견적
 
5

Length

Max length8
Median length4
Mean length4.0068
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9931
99.3%
일반경쟁 30
 
0.3%
수의1인견적 24
 
0.2%
제한경쟁 10
 
0.1%
수의2인이상견적 5
 
0.1%

Length

2024-04-11T12:07:28.626542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-11T12:07:28.717764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9931
99.3%
일반경쟁 30
 
0.3%
수의1인견적 24
 
0.2%
제한경쟁 10
 
0.1%
수의2인이상견적 5
 
< 0.1%

총괄계약일자
Real number (ℝ)

MISSING 

Distinct38
Distinct (%)55.1%
Missing9931
Missing (%)99.3%
Infinite0
Infinite (%)0.0%
Mean20236848
Minimum20210608
Maximum20240329
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-11T12:07:28.819350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20210608
5-th percentile20231117
Q120231220
median20240109
Q320240130
95-th percentile20240328
Maximum20240329
Range29721
Interquartile range (IQR)8910

Descriptive statistics

Standard deviation5590.8241
Coefficient of variation (CV)0.00027626951
Kurtosis6.345133
Mean20236848
Median Absolute Deviation (MAD)114
Skewness-2.1291411
Sum1.3963425 × 109
Variance31257314
MonotonicityNot monotonic
2024-04-11T12:07:28.924975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
20240101 11
 
0.1%
20240130 4
 
< 0.1%
20240329 4
 
< 0.1%
20240119 3
 
< 0.1%
20231218 3
 
< 0.1%
20240125 3
 
< 0.1%
20240109 3
 
< 0.1%
20231127 2
 
< 0.1%
20231220 2
 
< 0.1%
20231120 2
 
< 0.1%
Other values (28) 32
 
0.3%
(Missing) 9931
99.3%
ValueCountFrequency (%)
20210608 1
< 0.1%
20220225 1
< 0.1%
20231114 1
< 0.1%
20231115 1
< 0.1%
20231120 2
< 0.1%
20231122 1
< 0.1%
20231127 2
< 0.1%
20231206 1
< 0.1%
20231211 1
< 0.1%
20231214 2
< 0.1%
ValueCountFrequency (%)
20240329 4
< 0.1%
20240326 2
< 0.1%
20240319 1
 
< 0.1%
20240318 1
 
< 0.1%
20240315 1
 
< 0.1%
20240227 1
 
< 0.1%
20240226 2
< 0.1%
20240223 1
 
< 0.1%
20240221 1
 
< 0.1%
20240220 1
 
< 0.1%

총괄계약합계금액
Real number (ℝ)

MISSING 

Distinct58
Distinct (%)84.1%
Missing9931
Missing (%)99.3%
Infinite0
Infinite (%)0.0%
Mean4.6976379 × 108
Minimum246000
Maximum5.1765483 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-11T12:07:29.047978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum246000
5-th percentile459840
Q12887600
median21600000
Q33.81264 × 108
95-th percentile3.4444054 × 109
Maximum5.1765483 × 109
Range5.1763023 × 109
Interquartile range (IQR)3.783764 × 108

Descriptive statistics

Standard deviation1.0419573 × 109
Coefficient of variation (CV)2.2180451
Kurtosis8.5606107
Mean4.6976379 × 108
Median Absolute Deviation (MAD)21120000
Skewness2.9540803
Sum3.2413702 × 1010
Variance1.0856749 × 1018
MonotonicityNot monotonic
2024-04-11T12:07:29.360890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9970580 4
 
< 0.1%
798962120 3
 
< 0.1%
823200 2
 
< 0.1%
3572187850 2
 
< 0.1%
246000 2
 
< 0.1%
147900000 2
 
< 0.1%
580200 2
 
< 0.1%
215172470 2
 
< 0.1%
64350000 1
 
< 0.1%
463180000 1
 
< 0.1%
Other values (48) 48
 
0.5%
(Missing) 9931
99.3%
ValueCountFrequency (%)
246000 2
< 0.1%
279000 1
< 0.1%
446400 1
< 0.1%
480000 1
< 0.1%
580200 2
< 0.1%
605000 1
< 0.1%
650400 1
< 0.1%
823200 2
< 0.1%
847000 1
< 0.1%
1561000 1
< 0.1%
ValueCountFrequency (%)
5176548340 1
 
< 0.1%
3751088050 1
 
< 0.1%
3572187850 2
< 0.1%
3252731680 1
 
< 0.1%
1698160200 1
 
< 0.1%
1536000000 1
 
< 0.1%
1397345480 1
 
< 0.1%
994800000 1
 
< 0.1%
798962120 3
< 0.1%
686082560 1
 
< 0.1%

준공일자
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)30.4%
Missing9931
Missing (%)99.3%
Infinite0
Infinite (%)0.0%
Mean20240895
Minimum20240109
Maximum20250125
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-11T12:07:29.473433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20240109
5-th percentile20240214
Q120240321
median20241231
Q320241231
95-th percentile20241231
Maximum20250125
Range10016
Interquartile range (IQR)910

Descriptive statistics

Standard deviation1223.6893
Coefficient of variation (CV)6.0456283 × 10-5
Kurtosis48.893473
Mean20240895
Median Absolute Deviation (MAD)700
Skewness6.4428637
Sum1.3966218 × 109
Variance1497415.4
MonotonicityNot monotonic
2024-04-11T12:07:29.600579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
20241231 34
 
0.3%
20240329 4
 
< 0.1%
20240321 3
 
< 0.1%
20240331 3
 
< 0.1%
20240229 3
 
< 0.1%
20240218 2
 
< 0.1%
20240327 2
 
< 0.1%
20240224 2
 
< 0.1%
20240215 2
 
< 0.1%
20240324 2
 
< 0.1%
Other values (11) 12
 
0.1%
(Missing) 9931
99.3%
ValueCountFrequency (%)
20240109 1
 
< 0.1%
20240122 1
 
< 0.1%
20240213 1
 
< 0.1%
20240214 1
 
< 0.1%
20240215 2
< 0.1%
20240218 2
< 0.1%
20240219 2
< 0.1%
20240224 2
< 0.1%
20240229 3
< 0.1%
20240313 1
 
< 0.1%
ValueCountFrequency (%)
20250125 1
 
< 0.1%
20241231 34
0.3%
20240531 1
 
< 0.1%
20240430 1
 
< 0.1%
20240424 1
 
< 0.1%
20240414 1
 
< 0.1%
20240331 3
 
< 0.1%
20240329 4
 
< 0.1%
20240327 2
 
< 0.1%
20240324 2
 
< 0.1%

계약거래처명
Text

MISSING 

Distinct57
Distinct (%)82.6%
Missing9931
Missing (%)99.3%
Memory size156.2 KiB
2024-04-11T12:07:29.800221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length14
Mean length9.173913
Min length3

Characters and Unicode

Total characters633
Distinct characters141
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique49 ?
Unique (%)71.0%

Sample

1st row주식회사 포워드메디
2nd row쿠쿠홈시스 외 1건
3rd row분당서울대학교병원
4th row(주)대신소방산업
5th row(주)무선테크원 외 4건
ValueCountFrequency (%)
주식회사 19
 
15.4%
외 16
 
13.0%
1건 6
 
4.9%
4건 5
 
4.1%
주)무선테크원 4
 
3.3%
2건 4
 
3.3%
코웨이(주 3
 
2.4%
프리드라이프 3
 
2.4%
사회적협동조합 2
 
1.6%
신아시스템(주 2
 
1.6%
Other values (55) 59
48.0%
2024-04-11T12:07:30.129610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
54
 
8.5%
주 53
 
8.4%
( 33
 
5.2%
) 33
 
5.2%
사 26
 
4.1%
회 23
 
3.6%
이 21
 
3.3%
식 21
 
3.3%
건 18
 
2.8%
스 18
 
2.8%
Other values (131) 333
52.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 495
78.2%
Space Separator 54
 
8.5%
Open Punctuation 33
 
5.2%
Close Punctuation 33
 
5.2%
Decimal Number 18
 
2.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 53
 
10.7%
사 26
 
5.3%
회 23
 
4.6%
이 21
 
4.2%
식 21
 
4.2%
건 18
 
3.6%
스 18
 
3.6%
외 16
 
3.2%
리 11
 
2.2%
프 10
 
2.0%
Other values (124) 278
56.2%
Decimal Number
ValueCountFrequency (%)
1 8
44.4%
4 5
27.8%
2 4
22.2%
6 1
 
5.6%
Space Separator
ValueCountFrequency (%)
54
100.0%
Open Punctuation
ValueCountFrequency (%)
( 33
100.0%
Close Punctuation
ValueCountFrequency (%)
) 33
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 495
78.2%
Common 138
 
21.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 53
 
10.7%
사 26
 
5.3%
회 23
 
4.6%
이 21
 
4.2%
식 21
 
4.2%
건 18
 
3.6%
스 18
 
3.6%
외 16
 
3.2%
리 11
 
2.2%
프 10
 
2.0%
Other values (124) 278
56.2%
Common
ValueCountFrequency (%)
54
39.1%
( 33
23.9%
) 33
23.9%
1 8
 
5.8%
4 5
 
3.6%
2 4
 
2.9%
6 1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 495
78.2%
ASCII 138
 
21.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
54
39.1%
( 33
23.9%
) 33
23.9%
1 8
 
5.8%
4 5
 
3.6%
2 4
 
2.9%
6 1
 
0.7%
Hangul
ValueCountFrequency (%)
주 53
 
10.7%
사 26
 
5.3%
회 23
 
4.6%
이 21
 
4.2%
식 21
 
4.2%
건 18
 
3.6%
스 18
 
3.6%
외 16
 
3.2%
리 11
 
2.2%
프 10
 
2.0%
Other values (124) 278
56.2%

조달구분명
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9931 
자체(전자)
 
48
조달
 
16
자체(수기)
 
5

Length

Max length6
Median length4
Mean length4.0074
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9931
99.3%
자체(전자) 48
 
0.5%
조달 16
 
0.2%
자체(수기) 5
 
0.1%

Length

2024-04-11T12:07:30.257826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-11T12:07:30.346596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9931
99.3%
자체(전자 48
 
0.5%
조달 16
 
0.2%
자체(수기 5
 
< 0.1%

계약번호
Real number (ℝ)

MISSING 

Distinct58
Distinct (%)84.1%
Missing9931
Missing (%)99.3%
Infinite0
Infinite (%)0.0%
Mean2.0241118 × 1011
Minimum2.0241006 × 1011
Maximum2.0241156 × 1011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-11T12:07:30.446536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0241006 × 1011
5-th percentile2.0241006 × 1011
Q12.0241093 × 1011
median2.0241155 × 1011
Q32.0241155 × 1011
95-th percentile2.0241156 × 1011
Maximum2.0241156 × 1011
Range1506300
Interquartile range (IQR)624000

Descriptive statistics

Standard deviation585472.78
Coefficient of variation (CV)2.8924923 × 10-6
Kurtosis-0.20271047
Mean2.0241118 × 1011
Median Absolute Deviation (MAD)8000
Skewness-1.2172042
Sum1.3966371 × 1013
Variance3.4277838 × 1011
MonotonicityNot monotonic
2024-04-11T12:07:30.572650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
202410059400 4
 
< 0.1%
202410927600 3
 
< 0.1%
202410056000 2
 
< 0.1%
202411548200 2
 
< 0.1%
202411553400 2
 
< 0.1%
202411547200 2
 
< 0.1%
202410055900 2
 
< 0.1%
202411550100 2
 
< 0.1%
202410931400 1
 
< 0.1%
202411549400 1
 
< 0.1%
Other values (48) 48
 
0.5%
(Missing) 9931
99.3%
ValueCountFrequency (%)
202410055900 2
< 0.1%
202410056000 2
< 0.1%
202410056200 1
 
< 0.1%
202410056400 1
 
< 0.1%
202410056500 1
 
< 0.1%
202410056700 1
 
< 0.1%
202410059100 1
 
< 0.1%
202410059400 4
< 0.1%
202410927600 3
< 0.1%
202410927700 1
 
< 0.1%
ValueCountFrequency (%)
202411562200 1
< 0.1%
202411559300 1
< 0.1%
202411559200 1
< 0.1%
202411558200 1
< 0.1%
202411557200 1
< 0.1%
202411557000 1
< 0.1%
202411555700 1
< 0.1%
202411554800 1
< 0.1%
202411554300 1
< 0.1%
202411554200 1
< 0.1%

계약대장관리번호
Real number (ℝ)

MISSING 

Distinct62
Distinct (%)83.8%
Missing9926
Missing (%)99.3%
Infinite0
Infinite (%)0.0%
Mean2.0239354 × 1011
Minimum2.0230031 × 1011
Maximum2.0240031 × 1011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-11T12:07:30.712991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0230031 × 1011
5-th percentile2.0230131 × 1011
Q12.0240021 × 1011
median2.0240021 × 1011
Q32.0240031 × 1011
95-th percentile2.0240031 × 1011
Maximum2.0240031 × 1011
Range1.0000096 × 108
Interquartile range (IQR)100502

Descriptive statistics

Standard deviation25109275
Coefficient of variation (CV)0.00012406164
Kurtosis10.660569
Mean2.0239354 × 1011
Median Absolute Deviation (MAD)928.5
Skewness-3.5174733
Sum1.4977122 × 1013
Variance6.3047567 × 1014
MonotonicityNot monotonic
2024-04-11T12:07:30.867713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
202400312378 4
 
< 0.1%
202400210860 3
 
< 0.1%
202301310264 2
 
< 0.1%
202400210063 2
 
< 0.1%
202400210804 2
 
< 0.1%
202400210994 2
 
< 0.1%
202400210846 2
 
< 0.1%
202400210053 2
 
< 0.1%
202400311190 2
 
< 0.1%
202400210933 1
 
< 0.1%
Other values (52) 52
 
0.5%
(Missing) 9926
99.3%
ValueCountFrequency (%)
202300311418 1
< 0.1%
202300319617 1
< 0.1%
202301210138 1
< 0.1%
202301310264 2
< 0.1%
202400210001 1
< 0.1%
202400210053 2
< 0.1%
202400210063 2
< 0.1%
202400210068 1
< 0.1%
202400210298 1
< 0.1%
202400210299 1
< 0.1%
ValueCountFrequency (%)
202400312378 4
< 0.1%
202400312278 1
 
< 0.1%
202400312272 1
 
< 0.1%
202400312108 1
 
< 0.1%
202400312003 1
 
< 0.1%
202400312002 1
 
< 0.1%
202400311906 1
 
< 0.1%
202400311840 1
 
< 0.1%
202400311838 1
 
< 0.1%
202400311391 1
 
< 0.1%

사업자등록번호
Real number (ℝ)

MISSING 

Distinct343
Distinct (%)7.7%
Missing5564
Missing (%)55.6%
Infinite0
Infinite (%)0.0%
Mean1.4285855 × 109
Minimum1.018212 × 109
Maximum8.9785014 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-11T12:07:30.984794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.018212 × 109
5-th percentile1.2383025 × 109
Q11.258302 × 109
median1.2783087 × 109
Q31.3383002 × 109
95-th percentile1.3883017 × 109
Maximum8.9785014 × 109
Range7.9602894 × 109
Interquartile range (IQR)79998284

Descriptive statistics

Standard deviation8.1591804 × 108
Coefficient of variation (CV)0.571137
Kurtosis49.343238
Mean1.4285855 × 109
Median Absolute Deviation (MAD)30007078
Skewness6.8567674
Sum6.3372053 × 1012
Variance6.6572225 × 1017
MonotonicityNot monotonic
2024-04-11T12:07:31.116580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1248300269 240
 
2.4%
1258301960 143
 
1.4%
1268300023 141
 
1.4%
1248301609 140
 
1.4%
1268302017 137
 
1.4%
1308300018 136
 
1.4%
1338301049 136
 
1.4%
1358300482 135
 
1.4%
1288301047 131
 
1.3%
1278302140 126
 
1.3%
Other values (333) 2971
29.7%
(Missing) 5564
55.6%
ValueCountFrequency (%)
1018212009 1
 
< 0.1%
1018216437 9
0.1%
1018218809 1
 
< 0.1%
1018230462 1
 
< 0.1%
1021295709 1
 
< 0.1%
1028100358 1
 
< 0.1%
1028103525 1
 
< 0.1%
1028138534 1
 
< 0.1%
1028142945 3
 
< 0.1%
1048106004 1
 
< 0.1%
ValueCountFrequency (%)
8978501448 2
 
< 0.1%
8970602234 1
 
< 0.1%
8968501921 5
0.1%
8938601332 1
 
< 0.1%
8908200224 2
 
< 0.1%
8785400314 1
 
< 0.1%
8728200264 1
 
< 0.1%
8680403342 1
 
< 0.1%
8508501866 1
 
< 0.1%
8308600157 1
 
< 0.1%

Sample

회계연도회계구분명부서구분명관서명실국명부서명경비구분명세부사업명통계목명지출개요지출금액지급명령일자거래처명계약명계약종류명계약방법명총괄계약일자총괄계약합계금액준공일자계약거래처명조달구분명계약번호계약대장관리번호사업자등록번호
69152024일반회계본청본청자치행정국인사과일반지출모범공무원 등 포상지원(자체/직접)포상금2024년 3월 모범공무원 수당 지급 건의5000020240322***<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
244412024일반회계본청본청여성가족국보육정책과일반지출영아 표준보육과정 프로그램 지원(자체/지원)자치단체경상보조금2024년 영아 표준보육과정 프로그램 지원 교부결정 및 자금교부(1차)4932000020240126안산시장일반회계<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1348300039
217652024일반회계본청본청복지국장애인자립지원과일반지출장애인직업재활시설 지원(자체/지원)자치단체경상보조금2024년도 1분기 장애인직업재활시설 지원 사업 도비보조금 교부결정 및 자금교부423000020240122경기도 안산시<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1348300039
132782024일반회계본청본청복지국장애인복지과일반지출장애인거주시설 운영 지원(자체/지원)자치단체경상보조금2024년 1분기 장애인 단기거주시설 운영 도비보조금 교부결정 및 자금교부2511200020240119양평군청<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1328301615
199512024일반회계본청본청복지국복지사업과일반지출근로능력 있는 수급자의 탈수급 지원(국비/지원)자치단체경상보조금2024년 근로·능력있는수급자의탈수급지원 교부결정 및 자금교부(1분기/2차/내일키움통장)151100020240223김포시<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1368300170
433452024소방안전본청소방재난본부소방재난본부회계장비담당관일반지출직무수행경비(자체/직접)특정업무경비2024년 3월분 특정업무경비(방호활동비)17000020240329***<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
155792024일반회계본청본청복지국복지정책과일반지출보훈대상자 지원(자체/직접)사회보장적수혜금(취약계층, 지방재원)2024년 3.1절 독립유공자 및 유족 위문금 지출10000020240229***<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
328302024소방안전본청소방재난본부소방재난본부회계장비담당관일반지출119구급대지원(기금/직접)자산및물품취득비구급장비(구급차용 소독기) 40점 구매 1/28945046020240403주식회사 포워드메디구급장비(구급차용 소독기) 40점 구매 1/2물품일반경쟁202403268945046020240424주식회사 포워드메디조달2024109315002024003122781098638151
165612024일반회계본청본청복지국복지정책과일반지출보훈대상자 지원(자체/직접)사회보장적수혜금(취약계층, 지방재원)2024년 3.1절 독립유공자 및 유족 위문금 지출10000020240229***<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
372822024소방안전본청소방재난본부소방재난본부회계장비담당관일반지출직무수행경비(자체/직접)특정업무경비2024년 3월분 특정업무경비(방호활동비)17000020240329***<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
회계연도회계구분명부서구분명관서명실국명부서명경비구분명세부사업명통계목명지출개요지출금액지급명령일자거래처명계약명계약종류명계약방법명총괄계약일자총괄계약합계금액준공일자계약거래처명조달구분명계약번호계약대장관리번호사업자등록번호
255222024일반회계본청본청여성가족국가족다문화과일반지출다문화가족 자녀 지원(자체/지원)자치단체경상보조금2024년 중도입국자녀 한국사회 적응지원(도비) 교부13500020240215경기도 하남시<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1268304349
169882024일반회계본청본청복지국복지정책과일반지출시군 사회복지협의회 지원(자체/지원)자치단체경상보조금2024년 시군 사회복지협의회 사회복지자원봉사사업운영 도비보조금 교부(2차)840000020240213양주시장<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1278300031
420962024소방안전본청소방재난본부소방재난본부회계장비담당관일반지출직무수행경비(자체/직접)특정업무경비2024년 3월분 특정업무경비(방호활동비)17000020240329***<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1562024일반회계본청본청평생교육국평생교육과일반지출장애인 평생교육 프로그램 운영(자체/지원)자치단체경상보조금2024년 장애인 평생교육 프로그램 운영 사업 도비보조금 교부결정 및 자금교부1125000020240124성남시청<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1298300153
312842024소방안전본청북부소방재난본부북부소방재난본부소방행정기획과일반지출여비국내여비3월 소방행정기획과 출장여비 지급 건의25000020240405***<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
376732024소방안전본청소방재난본부소방재난본부회계장비담당관일반지출직무수행경비(자체/직접)특정업무경비2024년 3월분 특정업무경비(방호활동비)17000020240329***<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
382782024소방안전본청소방재난본부소방재난본부회계장비담당관일반지출직무수행경비(자체/직접)특정업무경비2024년 3월분 특정업무경비(방호활동비)17000020240329***<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
321902024소방안전본청소방재난본부소방재난본부소방행정과일반지출맞춤형 보육시설 운영(자체/직접)민간위탁금2024년 2월 맞춤형 보육시설 운영 관련 민간위탁금 지급 건의42400020240308마음으로<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1149107289
207302024일반회계본청본청복지국복지사업과일반지출시군구 통합사례관리 지원(균특/지원)자치단체경상보조금2024년 시군구 통합사례관리 지원 국도비보조금 교부결정 및 자금교부(1차)460000020240122평택시<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1258301960
272522024일반회계본청본청여성가족국아동돌봄과일반지출아동수당 지급(국비/지원)자치단체경상보조금2024년 아동수당 지급 사업 교부결정 및 자금교부(2월)281047900020240219하남시장<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1268304349

Duplicate rows

Most frequently occurring

회계연도회계구분명부서구분명관서명실국명부서명경비구분명세부사업명통계목명지출개요지출금액지급명령일자거래처명계약명계약종류명계약방법명총괄계약일자총괄계약합계금액준공일자계약거래처명조달구분명계약번호계약대장관리번호사업자등록번호# duplicates
492024소방안전본청소방재난본부소방재난본부회계장비담당관일반지출직무수행경비(자체/직접)특정업무경비2024년 3월분 특정업무경비(방호활동비)17000020240329***<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2008
362024소방안전본청소방재난본부소방재난본부회계장비담당관일반지출직무수행경비(자체/직접)특정업무경비2024년 3월분 특정업무경비 지급(구조구급활동비)20000020240329***<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1181
702024일반회계본청본청복지국복지정책과일반지출보훈대상자 지원(자체/직접)사회보장적수혜금(취약계층, 지방재원)2024년 3.1절 독립유공자 및 유족 위문금 지출10000020240229***<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>410
722024일반회계본청본청복지국복지정책과일반지출보훈대상자 지원(자체/직접)사회보장적수혜금(취약계층, 지방재원)2024년 설 명절 저소득 보훈대상자 위문금 지출10000020240201***<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>203
222024소방안전본청소방재난본부소방재난본부회계장비담당관일반지출직무수행경비직책급업무수행경비2024년 3월분 직무수행경비(직책급업무수행경비) 지급10000020240329***<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>92
1002024일반회계본청본청복지국복지정책과일반지출의사상자 특별위로금 지원(자체/직접)사회보장적수혜금(취약계층, 지방재원)2024년 경기도 의사상자 명절위문금 및 2월 수당 지급10000020240221***<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>43
412024소방안전본청소방재난본부소방재난본부회계장비담당관일반지출직무수행경비(자체/직접)특정업무경비2024년 3월분 특정업무경비(방호활동비)1096020240329***<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>42
252024소방안전본청소방재난본부소방재난본부회계장비담당관일반지출직무수행경비(자체/직접)특정업무경비2024년 2월분 특정업무경비(방호활동비)17000020240305***<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>37
1062024일반회계본청본청인권담당관인권담당관일반지출선감학원사건 피해자 지원금(자체/직접)사회보장적수혜금(취약계층, 지방재원)2024년 1분기 선감학원사건 피해자 지원금 지급60000020240325***<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>37
272024소방안전본청소방재난본부소방재난본부회계장비담당관일반지출직무수행경비(자체/직접)특정업무경비2024년 3월분 특정업무경비 지급(구조구급활동비)1291020240329***<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>35