Overview

Dataset statistics

Number of variables10
Number of observations7796
Missing cells6
Missing cells (%)< 0.1%
Duplicate rows33
Duplicate rows (%)0.4%
Total size in memory624.4 KiB
Average record size in memory82.0 B

Variable types

Categorical4
Text4
DateTime1
Numeric1

Dataset

Description출자출연기관 업무추진비 사용내역(임원 등) 현황
Author경기도
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=5N3DB43E40PVYQQ5DBPM19293607&infSeq=1

Alerts

집계년도 has constant value ""Constant
추진비구분명 has constant value ""Constant
Dataset has 33 (0.4%) duplicate rowsDuplicates
사용금액 is highly skewed (γ1 = 24.36719396)Skewed

Reproduction

Analysis started2023-12-10 22:05:24.394501
Analysis finished2023-12-10 22:05:25.904176
Duration1.51 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

집계년도
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size61.0 KiB
2022
7796 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022
2nd row2022
3rd row2022
4th row2022
5th row2022

Common Values

ValueCountFrequency (%)
2022 7796
100.0%

Length

2023-12-11T07:05:25.957156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:05:26.036645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022 7796
100.0%

집계분기
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size61.0 KiB
2분기
2843 
3분기
2737 
1분기
2216 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1분기
2nd row1분기
3rd row1분기
4th row1분기
5th row1분기

Common Values

ValueCountFrequency (%)
2분기 2843
36.5%
3분기 2737
35.1%
1분기 2216
28.4%

Length

2023-12-11T07:05:26.117705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:05:26.200234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2분기 2843
36.5%
3분기 2737
35.1%
1분기 2216
28.4%

기관명
Categorical

Distinct36
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size61.0 KiB
경기도시장상권진흥원
1447 
(재)경기테크노파크
749 
경기주택도시공사
747 
경기도농수산진흥원
726 
경기콘텐츠진흥원
678 
Other values (31)
3449 

Length

Max length18
Median length12
Mean length9.1201898
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row(재)경기테크노파크
2nd row(재)경기테크노파크
3rd row(재)경기테크노파크
4th row(재)경기테크노파크
5th row(재)경기테크노파크

Common Values

ValueCountFrequency (%)
경기도시장상권진흥원 1447
18.6%
(재)경기테크노파크 749
 
9.6%
경기주택도시공사 747
 
9.6%
경기도농수산진흥원 726
 
9.3%
경기콘텐츠진흥원 678
 
8.7%
경기도여성가족재단 331
 
4.2%
경기도사회서비스원 323
 
4.1%
경기신용보증재단 313
 
4.0%
경기아트센터 302
 
3.9%
경기도경제과학진흥원 276
 
3.5%
Other values (26) 1904
24.4%

Length

2023-12-11T07:05:26.318268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기도시장상권진흥원 1447
18.2%
재)경기테크노파크 749
 
9.4%
경기주택도시공사 747
 
9.4%
경기도농수산진흥원 726
 
9.1%
경기콘텐츠진흥원 678
 
8.5%
경기도여성가족재단 331
 
4.2%
경기도사회서비스원 323
 
4.1%
경기신용보증재단 313
 
3.9%
경기아트센터 302
 
3.8%
경기복지재단 276
 
3.5%
Other values (27) 2057
25.9%

추진비구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size61.0 KiB
-
7796 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-
2nd row-
3rd row-
4th row-
5th row-

Common Values

ValueCountFrequency (%)
- 7796
100.0%

Length

2023-12-11T07:05:26.423142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:05:26.502219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
7796
100.0%

사용목적내용
Text

Distinct4425
Distinct (%)56.8%
Missing0
Missing (%)0.0%
Memory size61.0 KiB
2023-12-11T07:05:26.727474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length43
Mean length17.530913
Min length2

Characters and Unicode

Total characters136671
Distinct characters561
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

Unique3264 ?
Unique (%)41.9%

Sample

1st row유관기관 업무협의
2nd row기관 업무 협의
3rd row기관 업무 협의
4th row경기도 미래산업과 회의
5th row정책연구팀 사업 관련 간담회 및 예산 관련 회의 개최
ValueCountFrequency (%)
관련 1959
 
5.8%
업무협의 1605
 
4.8%
지출 1245
 
3.7%
격려 1107
 
3.3%
업무추진비 965
 
2.9%
후 814
 
2.4%
직원 761
 
2.3%
및 748
 
2.2%
업무 680
 
2.0%
협의 576
 
1.7%
Other values (4166) 23283
69.0%
2023-12-11T07:05:27.150053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
25967
 
19.0%
업 5873
 
4.3%
○ 5047
 
3.7%
무 4381
 
3.2%
의 4234
 
3.1%
관 3615
 
2.6%
사 2913
 
2.1%
원 2676
 
2.0%
협 2491
 
1.8%
지 2473
 
1.8%
Other values (551) 77001
56.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 101002
73.9%
Space Separator 25967
 
19.0%
Other Symbol 5047
 
3.7%
Decimal Number 1944
 
1.4%
Uppercase Letter 712
 
0.5%
Open Punctuation 688
 
0.5%
Close Punctuation 688
 
0.5%
Other Punctuation 528
 
0.4%
Dash Punctuation 49
 
< 0.1%
Lowercase Letter 36
 
< 0.1%
Other values (4) 10
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 5873
 
5.8%
무 4381
 
4.3%
의 4234
 
4.2%
관 3615
 
3.6%
사 2913
 
2.9%
원 2676
 
2.6%
협 2491
 
2.5%
지 2473
 
2.4%
비 2388
 
2.4%
련 2317
 
2.3%
Other values (487) 67641
67.0%
Uppercase Letter
ValueCountFrequency (%)
O 396
55.6%
T 51
 
7.2%
F 41
 
5.8%
G 31
 
4.4%
S 21
 
2.9%
M 20
 
2.8%
B 19
 
2.7%
A 19
 
2.7%
K 18
 
2.5%
D 16
 
2.2%
Other values (13) 80
 
11.2%
Lowercase Letter
ValueCountFrequency (%)
a 5
13.9%
s 5
13.9%
c 5
13.9%
v 3
8.3%
p 3
8.3%
o 3
8.3%
i 3
8.3%
r 2
 
5.6%
k 2
 
5.6%
t 1
 
2.8%
Other values (4) 4
11.1%
Decimal Number
ValueCountFrequency (%)
2 747
38.4%
0 437
22.5%
1 236
 
12.1%
3 115
 
5.9%
4 86
 
4.4%
5 77
 
4.0%
6 74
 
3.8%
9 59
 
3.0%
8 57
 
2.9%
7 56
 
2.9%
Other Punctuation
ValueCountFrequency (%)
, 177
33.5%
. 175
33.1%
/ 146
27.7%
' 8
 
1.5%
& 7
 
1.3%
* 6
 
1.1%
? 5
 
0.9%
· 4
 
0.8%
Space Separator
ValueCountFrequency (%)
25967
100.0%
Other Symbol
ValueCountFrequency (%)
○ 5047
100.0%
Open Punctuation
ValueCountFrequency (%)
( 688
100.0%
Close Punctuation
ValueCountFrequency (%)
) 688
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 49
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 3
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 101001
73.9%
Common 34921
 
25.6%
Latin 748
 
0.5%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 5873
 
5.8%
무 4381
 
4.3%
의 4234
 
4.2%
관 3615
 
3.6%
사 2913
 
2.9%
원 2676
 
2.6%
협 2491
 
2.5%
지 2473
 
2.4%
비 2388
 
2.4%
련 2317
 
2.3%
Other values (486) 67640
67.0%
Latin
ValueCountFrequency (%)
O 396
52.9%
T 51
 
6.8%
F 41
 
5.5%
G 31
 
4.1%
S 21
 
2.8%
M 20
 
2.7%
B 19
 
2.5%
A 19
 
2.5%
K 18
 
2.4%
D 16
 
2.1%
Other values (27) 116
 
15.5%
Common
ValueCountFrequency (%)
25967
74.4%
○ 5047
 
14.5%
2 747
 
2.1%
( 688
 
2.0%
) 688
 
2.0%
0 437
 
1.3%
1 236
 
0.7%
, 177
 
0.5%
. 175
 
0.5%
/ 146
 
0.4%
Other values (17) 613
 
1.8%
Han
ValueCountFrequency (%)
前 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 100945
73.9%
ASCII 30612
 
22.4%
Geometric Shapes 5047
 
3.7%
Compat Jamo 56
 
< 0.1%
Punctuation 6
 
< 0.1%
None 4
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
25967
84.8%
2 747
 
2.4%
( 688
 
2.2%
) 688
 
2.2%
0 437
 
1.4%
O 396
 
1.3%
1 236
 
0.8%
, 177
 
0.6%
. 175
 
0.6%
/ 146
 
0.5%
Other values (50) 955
 
3.1%
Hangul
ValueCountFrequency (%)
업 5873
 
5.8%
무 4381
 
4.3%
의 4234
 
4.2%
관 3615
 
3.6%
사 2913
 
2.9%
원 2676
 
2.7%
협 2491
 
2.5%
지 2473
 
2.4%
비 2388
 
2.4%
련 2317
 
2.3%
Other values (485) 67584
67.0%
Geometric Shapes
ValueCountFrequency (%)
○ 5047
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅇ 56
100.0%
None
ValueCountFrequency (%)
· 4
100.0%
Punctuation
ValueCountFrequency (%)
‘ 3
50.0%
’ 3
50.0%
CJK
ValueCountFrequency (%)
前 1
100.0%

사용자명
Text

Distinct135
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size61.0 KiB
2023-12-11T07:05:27.363772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12
Mean length4.5681119
Min length2

Characters and Unicode

Total characters35613
Distinct characters146
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

Unique13 ?
Unique (%)0.2%

Sample

1st row행정본부장
2nd row기술지원본부장
3rd row기술지원본부장
4th row미래사업팀
5th row안산산업경제혁신센터장
ValueCountFrequency (%)
원장 1374
 
17.4%
이사장 727
 
9.2%
전략사업본부장 385
 
4.9%
상임감사 254
 
3.2%
대표이사 223
 
2.8%
사장직무대행 220
 
2.8%
기관장 218
 
2.8%
관리본부장 206
 
2.6%
병원장 178
 
2.3%
사장 174
 
2.2%
Other values (126) 3919
49.7%
2023-12-11T07:05:27.711652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 5707
 
16.0%
사 2710
 
7.6%
부 2140
 
6.0%
원 2022
 
5.7%
본 1946
 
5.5%
이 1170
 
3.3%
업 1080
 
3.0%
기 818
 
2.3%
팀 788
 
2.2%
경 709
 
2.0%
Other values (136) 16523
46.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 35483
99.6%
Space Separator 82
 
0.2%
Uppercase Letter 44
 
0.1%
Other Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 5707
 
16.1%
사 2710
 
7.6%
부 2140
 
6.0%
원 2022
 
5.7%
본 1946
 
5.5%
이 1170
 
3.3%
업 1080
 
3.0%
기 818
 
2.3%
팀 788
 
2.2%
경 709
 
2.0%
Other values (129) 16393
46.2%
Uppercase Letter
ValueCountFrequency (%)
T 17
38.6%
F 17
38.6%
G 8
18.2%
A 1
 
2.3%
P 1
 
2.3%
Space Separator
ValueCountFrequency (%)
82
100.0%
Other Punctuation
ValueCountFrequency (%)
? 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 35483
99.6%
Common 86
 
0.2%
Latin 44
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 5707
 
16.1%
사 2710
 
7.6%
부 2140
 
6.0%
원 2022
 
5.7%
본 1946
 
5.5%
이 1170
 
3.3%
업 1080
 
3.0%
기 818
 
2.3%
팀 788
 
2.2%
경 709
 
2.0%
Other values (129) 16393
46.2%
Latin
ValueCountFrequency (%)
T 17
38.6%
F 17
38.6%
G 8
18.2%
A 1
 
2.3%
P 1
 
2.3%
Common
ValueCountFrequency (%)
82
95.3%
? 4
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 35483
99.6%
ASCII 130
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 5707
 
16.1%
사 2710
 
7.6%
부 2140
 
6.0%
원 2022
 
5.7%
본 1946
 
5.5%
이 1170
 
3.3%
업 1080
 
3.0%
기 818
 
2.3%
팀 788
 
2.2%
경 709
 
2.0%
Other values (129) 16393
46.2%
ASCII
ValueCountFrequency (%)
82
63.1%
T 17
 
13.1%
F 17
 
13.1%
G 8
 
6.2%
? 4
 
3.1%
A 1
 
0.8%
P 1
 
0.8%

사용일자
Date

Distinct240
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size61.0 KiB
Minimum2022-01-01 00:00:00
Maximum2022-09-30 00:00:00
2023-12-11T07:05:27.850729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:05:27.977131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

사용처명
Text

Distinct4113
Distinct (%)52.8%
Missing1
Missing (%)< 0.1%
Memory size61.0 KiB
2023-12-11T07:05:28.224496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length17
Mean length6.0252726
Min length1

Characters and Unicode

Total characters46967
Distinct characters831
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2960 ?
Unique (%)38.0%

Sample

1st row해○청
2nd row양○해장국
3rd row육○니
4th row화○가옥
5th row희○김밥
ValueCountFrequency (%)
카페 76
 
0.8%
스타벅스 62
 
0.7%
등 52
 
0.6%
ooo 51
 
0.6%
주식회사 48
 
0.5%
향기꽃방 39
 
0.4%
티○디컴퍼니 36
 
0.4%
강남면옥 34
 
0.4%
신생화원 32
 
0.4%
다온 30
 
0.3%
Other values (4313) 8517
94.9%
2023-12-11T07:05:28.611737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
○ 3137
 
6.7%
1226
 
2.6%
이 924
 
2.0%
점 916
 
2.0%
스 812
 
1.7%
리 718
 
1.5%
수 601
 
1.3%
원 561
 
1.2%
( 478
 
1.0%
) 469
 
1.0%
Other values (821) 37125
79.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 39835
84.8%
Other Symbol 3203
 
6.8%
Space Separator 1226
 
2.6%
Decimal Number 809
 
1.7%
Uppercase Letter 679
 
1.4%
Open Punctuation 478
 
1.0%
Close Punctuation 469
 
1.0%
Lowercase Letter 135
 
0.3%
Other Punctuation 98
 
0.2%
Dash Punctuation 28
 
0.1%
Other values (2) 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 924
 
2.3%
점 916
 
2.3%
스 812
 
2.0%
리 718
 
1.8%
수 601
 
1.5%
원 561
 
1.4%
주 456
 
1.1%
식 433
 
1.1%
국 426
 
1.1%
탕 385
 
1.0%
Other values (754) 33603
84.4%
Uppercase Letter
ValueCountFrequency (%)
O 289
42.6%
S 60
 
8.8%
A 45
 
6.6%
H 38
 
5.6%
G 36
 
5.3%
C 32
 
4.7%
T 26
 
3.8%
E 24
 
3.5%
N 22
 
3.2%
D 21
 
3.1%
Other values (12) 86
 
12.7%
Lowercase Letter
ValueCountFrequency (%)
e 14
10.4%
i 13
 
9.6%
o 13
 
9.6%
a 13
 
9.6%
s 10
 
7.4%
l 10
 
7.4%
c 9
 
6.7%
t 7
 
5.2%
r 6
 
4.4%
f 6
 
4.4%
Other values (11) 34
25.2%
Decimal Number
ValueCountFrequency (%)
0 167
20.6%
2 121
15.0%
1 116
14.3%
9 85
10.5%
5 82
10.1%
3 68
8.4%
4 57
 
7.0%
6 43
 
5.3%
8 41
 
5.1%
7 29
 
3.6%
Other Punctuation
ValueCountFrequency (%)
. 35
35.7%
, 23
23.5%
/ 20
20.4%
& 17
17.3%
? 2
 
2.0%
· 1
 
1.0%
Other Symbol
ValueCountFrequency (%)
○ 3137
97.9%
㈜ 66
 
2.1%
Space Separator
ValueCountFrequency (%)
1226
100.0%
Open Punctuation
ValueCountFrequency (%)
( 478
100.0%
Close Punctuation
ValueCountFrequency (%)
) 469
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 28
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 6
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 39901
85.0%
Common 6252
 
13.3%
Latin 814
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 924
 
2.3%
점 916
 
2.3%
스 812
 
2.0%
리 718
 
1.8%
수 601
 
1.5%
원 561
 
1.4%
주 456
 
1.1%
식 433
 
1.1%
국 426
 
1.1%
탕 385
 
1.0%
Other values (755) 33669
84.4%
Latin
ValueCountFrequency (%)
O 289
35.5%
S 60
 
7.4%
A 45
 
5.5%
H 38
 
4.7%
G 36
 
4.4%
C 32
 
3.9%
T 26
 
3.2%
E 24
 
2.9%
N 22
 
2.7%
D 21
 
2.6%
Other values (33) 221
27.1%
Common
ValueCountFrequency (%)
○ 3137
50.2%
1226
 
19.6%
( 478
 
7.6%
) 469
 
7.5%
0 167
 
2.7%
2 121
 
1.9%
1 116
 
1.9%
9 85
 
1.4%
5 82
 
1.3%
3 68
 
1.1%
Other values (13) 303
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 39835
84.8%
ASCII 3928
 
8.4%
Geometric Shapes 3137
 
6.7%
None 67
 
0.1%

Most frequent character per block

Geometric Shapes
ValueCountFrequency (%)
○ 3137
100.0%
ASCII
ValueCountFrequency (%)
1226
31.2%
( 478
 
12.2%
) 469
 
11.9%
O 289
 
7.4%
0 167
 
4.3%
2 121
 
3.1%
1 116
 
3.0%
9 85
 
2.2%
5 82
 
2.1%
3 68
 
1.7%
Other values (54) 827
21.1%
Hangul
ValueCountFrequency (%)
이 924
 
2.3%
점 916
 
2.3%
스 812
 
2.0%
리 718
 
1.8%
수 601
 
1.5%
원 561
 
1.4%
주 456
 
1.1%
식 433
 
1.1%
국 426
 
1.1%
탕 385
 
1.0%
Other values (754) 33603
84.4%
None
ValueCountFrequency (%)
㈜ 66
98.5%
· 1
 
1.5%

사용대상내용
Text

Distinct2472
Distinct (%)31.7%
Missing5
Missing (%)0.1%
Memory size61.0 KiB
2023-12-11T07:05:28.846189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length109
Median length85
Mean length11.681556
Min length1

Characters and Unicode

Total characters91011
Distinct characters445
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1550 ?
Unique (%)19.9%

Sample

1st row행정본부장 등 4명
2nd row기술지원본부장 등 6명
3rd row기술지원본부장 등 4명
4th row미래사업팀 직원, 경기도 직원 등 5명
5th row안산산업경제혁신센터장 등 4명
ValueCountFrequency (%)
등 4581
 
18.7%
외 1471
 
6.0%
4명 1093
 
4.5%
3명 997
 
4.1%
2명 741
 
3.0%
소속직원 683
 
2.8%
5명 651
 
2.7%
000 597
 
2.4%
6명 582
 
2.4%
○○○팀장 520
 
2.1%
Other values (1408) 12617
51.4%
2023-12-11T07:05:29.221840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
16867
18.5%
○ 6770
 
7.4%
명 5403
 
5.9%
장 5071
 
5.6%
등 4638
 
5.1%
원 2400
 
2.6%
0 2288
 
2.5%
외 2055
 
2.3%
부 2004
 
2.2%
사 1588
 
1.7%
Other values (435) 41927
46.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 54337
59.7%
Space Separator 16867
 
18.5%
Decimal Number 8909
 
9.8%
Other Symbol 7677
 
8.4%
Other Punctuation 1540
 
1.7%
Uppercase Letter 1343
 
1.5%
Dash Punctuation 103
 
0.1%
Lowercase Letter 83
 
0.1%
Close Punctuation 79
 
0.1%
Open Punctuation 73
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
명 5403
 
9.9%
장 5071
 
9.3%
등 4638
 
8.5%
원 2400
 
4.4%
외 2055
 
3.8%
부 2004
 
3.7%
사 1588
 
2.9%
본 1566
 
2.9%
직 1332
 
2.5%
업 1254
 
2.3%
Other values (389) 27026
49.7%
Uppercase Letter
ValueCountFrequency (%)
O 1250
93.1%
F 17
 
1.3%
T 17
 
1.3%
G 11
 
0.8%
P 9
 
0.7%
A 7
 
0.5%
S 6
 
0.4%
B 6
 
0.4%
D 6
 
0.4%
C 6
 
0.4%
Other values (5) 8
 
0.6%
Decimal Number
ValueCountFrequency (%)
0 2288
25.7%
3 1281
14.4%
4 1268
14.2%
2 1096
12.3%
5 789
 
8.9%
1 728
 
8.2%
6 671
 
7.5%
7 350
 
3.9%
8 270
 
3.0%
9 168
 
1.9%
Lowercase Letter
ValueCountFrequency (%)
o 74
89.2%
m 2
 
2.4%
a 2
 
2.4%
y 1
 
1.2%
n 1
 
1.2%
p 1
 
1.2%
i 1
 
1.2%
e 1
 
1.2%
Other Punctuation
ValueCountFrequency (%)
, 1508
97.9%
/ 14
 
0.9%
? 12
 
0.8%
. 4
 
0.3%
& 1
 
0.1%
* 1
 
0.1%
Other Symbol
ValueCountFrequency (%)
○ 6770
88.2%
◇ 906
 
11.8%
㈜ 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
16867
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 103
100.0%
Close Punctuation
ValueCountFrequency (%)
) 79
100.0%
Open Punctuation
ValueCountFrequency (%)
( 73
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 54290
59.7%
Common 35247
38.7%
Latin 1426
 
1.6%
Han 48
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
명 5403
 
10.0%
장 5071
 
9.3%
등 4638
 
8.5%
원 2400
 
4.4%
외 2055
 
3.8%
부 2004
 
3.7%
사 1588
 
2.9%
본 1566
 
2.9%
직 1332
 
2.5%
업 1254
 
2.3%
Other values (389) 26979
49.7%
Latin
ValueCountFrequency (%)
O 1250
87.7%
o 74
 
5.2%
F 17
 
1.2%
T 17
 
1.2%
G 11
 
0.8%
P 9
 
0.6%
A 7
 
0.5%
S 6
 
0.4%
B 6
 
0.4%
D 6
 
0.4%
Other values (13) 23
 
1.6%
Common
ValueCountFrequency (%)
16867
47.9%
○ 6770
19.2%
0 2288
 
6.5%
, 1508
 
4.3%
3 1281
 
3.6%
4 1268
 
3.6%
2 1096
 
3.1%
◇ 906
 
2.6%
5 789
 
2.2%
1 728
 
2.1%
Other values (12) 1746
 
5.0%
Han
ValueCountFrequency (%)
前 48
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 54055
59.4%
ASCII 28997
31.9%
Geometric Shapes 7676
 
8.4%
Compat Jamo 234
 
0.3%
CJK 48
 
0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
16867
58.2%
0 2288
 
7.9%
, 1508
 
5.2%
3 1281
 
4.4%
4 1268
 
4.4%
O 1250
 
4.3%
2 1096
 
3.8%
5 789
 
2.7%
1 728
 
2.5%
6 671
 
2.3%
Other values (33) 1251
 
4.3%
Geometric Shapes
ValueCountFrequency (%)
○ 6770
88.2%
◇ 906
 
11.8%
Hangul
ValueCountFrequency (%)
명 5403
 
10.0%
장 5071
 
9.4%
등 4638
 
8.6%
원 2400
 
4.4%
외 2055
 
3.8%
부 2004
 
3.7%
사 1588
 
2.9%
본 1566
 
2.9%
직 1332
 
2.5%
업 1254
 
2.3%
Other values (387) 26744
49.5%
Compat Jamo
ValueCountFrequency (%)
ㅇ 234
100.0%
CJK
ValueCountFrequency (%)
前 48
100.0%
None
ValueCountFrequency (%)
㈜ 1
100.0%

사용금액
Real number (ℝ)

SKEWED 

Distinct1383
Distinct (%)17.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean95548.84
Minimum1800
Maximum9960000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size68.6 KiB
2023-12-11T07:05:29.355045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1800
5-th percentile11600
Q132000
median59875
Q3107000
95-th percentile252825
Maximum9960000
Range9958200
Interquartile range (IQR)75000

Descriptive statistics

Standard deviation236212.08
Coefficient of variation (CV)2.4721606
Kurtosis802.63799
Mean95548.84
Median Absolute Deviation (MAD)33850
Skewness24.367194
Sum7.4489876 × 108
Variance5.5796145 × 1010
MonotonicityNot monotonic
2023-12-11T07:05:29.485871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50000 192
 
2.5%
100000 149
 
1.9%
60000 117
 
1.5%
36000 115
 
1.5%
40000 112
 
1.4%
90000 101
 
1.3%
30000 100
 
1.3%
70000 98
 
1.3%
80000 96
 
1.2%
24000 85
 
1.1%
Other values (1373) 6631
85.1%
ValueCountFrequency (%)
1800 1
 
< 0.1%
2000 2
 
< 0.1%
2400 2
 
< 0.1%
2500 4
0.1%
2800 2
 
< 0.1%
3000 5
0.1%
3200 3
 
< 0.1%
3500 7
0.1%
3900 1
 
< 0.1%
4000 8
0.1%
ValueCountFrequency (%)
9960000 1
< 0.1%
8568000 1
< 0.1%
6960000 1
< 0.1%
6330000 1
< 0.1%
4185000 1
< 0.1%
4004000 1
< 0.1%
3742200 1
< 0.1%
3649160 1
< 0.1%
3623550 1
< 0.1%
2597000 1
< 0.1%

Interactions

2023-12-11T07:05:25.513224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T07:05:29.590409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
집계분기기관명사용금액
집계분기1.0000.5800.035
기관명0.5801.0000.192
사용금액0.0350.1921.000
2023-12-11T07:05:29.665595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
집계분기기관명
집계분기1.0000.329
기관명0.3291.000
2023-12-11T07:05:29.738250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사용금액집계분기기관명
사용금액1.0000.0220.074
집계분기0.0221.0000.329
기관명0.0740.3291.000

Missing values

2023-12-11T07:05:25.625005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T07:05:25.756305image/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.
2023-12-11T07:05:25.856182image/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

집계년도집계분기기관명추진비구분명사용목적내용사용자명사용일자사용처명사용대상내용사용금액
020221분기(재)경기테크노파크-유관기관 업무협의행정본부장2022-01-26해○청행정본부장 등 4명116000
120221분기(재)경기테크노파크-기관 업무 협의기술지원본부장2022-01-27양○해장국기술지원본부장 등 6명54000
220221분기(재)경기테크노파크-기관 업무 협의기술지원본부장2022-01-28육○니기술지원본부장 등 4명36000
320221분기(재)경기테크노파크-경기도 미래산업과 회의미래사업팀2022-01-28화○가옥미래사업팀 직원, 경기도 직원 등 5명54900
420221분기(재)경기테크노파크-정책연구팀 사업 관련 간담회 및 예산 관련 회의 개최안산산업경제혁신센터장2022-01-28희○김밥안산산업경제혁신센터장 등 4명51500
520221분기(재)경기테크노파크-정책연구팀 사업 관련 간담회 및 예산 관련 회의 개최안산산업경제혁신센터장2022-01-28카○마리안산산업경제혁신센터장 등 4명12000
620221분기(재)경기테크노파크-정책연구팀 사업 관련 간담회 및 예산 관련 회의 개최안산산업경제혁신센터장2022-01-28경○테크노파크매점안산산업경제혁신센터장 등 4명20000
720221분기(재)경기테크노파크-대외업무 협력논의전략사업본부장2022-01-28어○세꼬시전략사업본부장 등 5명119000
820221분기(재)경기테크노파크-기관 업무 협의기술지원본부장2022-02-03양○해장국기술지원본부장 등 3명27000
920221분기(재)경기테크노파크-안산산업경제혁신센터 주간업무회의안산산업경제혁신센터장2022-02-03얼○니손칼국수안산산업경제혁신센터장 등 4명36000
집계년도집계분기기관명추진비구분명사용목적내용사용자명사용일자사용처명사용대상내용사용금액
778620223분기경기도농수산진흥원-진흥원 홍보관련 업무협의 오찬경영혁신본부장2022-07-15천덕봉농원삼계탕월간친환경 000 부장 등 4명60000
778720223분기경기도농수산진흥원-로컬푸드 직매장 견학 다과경영혁신본부장2022-07-14농수산진흥원무주군농업기술센터 000 팀장 등 7명49400
778820223분기경기도농수산진흥원-진흥원 현안사항 업무협의 만찬경영혁신본부장2022-07-06초월상회농업지원부장 등 5명147000
778920223분기경기도농수산진흥원-센터운영팀 직원격려 오찬경영혁신본부장2022-07-06궁뜰센터운영팀 대리 등 6명130000
779020223분기경기도농수산진흥원-G마크업체 오찬 및 다과공공급식본부장2022-08-17항아리갈비탕(포천직영점)정탑농협 관계자39000
779120223분기경기도농수산진흥원-G마크업체 오찬 및 다과공공급식본부장2022-08-17카페디아망정탑농협 관계자24600
779220223분기경기도농수산진흥원-김치 전처리 관련 자문공공급식본부장2022-08-05오가경기음식연구원 000 원장45000
779320223분기경기도농수산진흥원-김치 전처리 관련 자문공공급식본부장2022-08-05라꾸에스타경기음식연구원 000 원장26800
779420223분기경기도농수산진흥원-23년도 출하회 선정심사 평가위원 오찬공공급식본부장2022-08-24경기도농수산진흥원전국먹거리연대 000 등30000
779520223분기경기도농수산진흥원-직매장 관련 자문 등 만찬이사장2022-07-27청솔한우춘천두레생협 000 상무 등 7명182000

Duplicate rows

Most frequently occurring

집계년도집계분기기관명추진비구분명사용목적내용사용자명사용일자사용처명사용대상내용사용금액# duplicates
820222분기경기콘텐츠진흥원-경기도의회 신청사 개청 축하원장2022-05-09향기꽃방유관기관사무실1000005
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