Overview

Dataset statistics

Number of variables8
Number of observations94
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.1 KiB
Average record size in memory66.4 B

Variable types

Numeric1
Text3
Categorical3
DateTime1

Dataset

Description(주)한국가스기술공사에서 14년도부터 동반성장하고 있는 협력업체(중소기업)과 계약된 성과공유과제를 제공합니다.
URLhttps://www.data.go.kr/data/15118915/fileData.do

Alerts

위탁기업명 has constant value ""Constant
상태 has constant value ""Constant
순번 has unique valuesUnique
과제번호 has unique valuesUnique
성과공유과제명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 12:47:53.547250
Analysis finished2023-12-12 12:47:54.476581
Duration0.93 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct94
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47.5
Minimum1
Maximum94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size978.0 B
2023-12-12T21:47:54.555886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.65
Q124.25
median47.5
Q370.75
95-th percentile89.35
Maximum94
Range93
Interquartile range (IQR)46.5

Descriptive statistics

Standard deviation27.279418
Coefficient of variation (CV)0.57430354
Kurtosis-1.2
Mean47.5
Median Absolute Deviation (MAD)23.5
Skewness0
Sum4465
Variance744.16667
MonotonicityStrictly increasing
2023-12-12T21:47:54.719565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.1%
61 1
 
1.1%
70 1
 
1.1%
69 1
 
1.1%
68 1
 
1.1%
67 1
 
1.1%
66 1
 
1.1%
65 1
 
1.1%
64 1
 
1.1%
63 1
 
1.1%
Other values (84) 84
89.4%
ValueCountFrequency (%)
1 1
1.1%
2 1
1.1%
3 1
1.1%
4 1
1.1%
5 1
1.1%
6 1
1.1%
7 1
1.1%
8 1
1.1%
9 1
1.1%
10 1
1.1%
ValueCountFrequency (%)
94 1
1.1%
93 1
1.1%
92 1
1.1%
91 1
1.1%
90 1
1.1%
89 1
1.1%
88 1
1.1%
87 1
1.1%
86 1
1.1%
85 1
1.1%

과제번호
Text

UNIQUE 

Distinct94
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size884.0 B
2023-12-12T21:47:55.029018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters1128
Distinct characters11
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique94 ?
Unique (%)100.0%

Sample

1st rowA20230310043
2nd rowA20230310014
3rd rowA20230210049
4th rowA20221110556
5th rowA20221110509
ValueCountFrequency (%)
a20230310043 1
 
1.1%
a20200910067 1
 
1.1%
a20190910064 1
 
1.1%
a20191010132 1
 
1.1%
a20191010302 1
 
1.1%
a20191010340 1
 
1.1%
a20191010339 1
 
1.1%
a20191010343 1
 
1.1%
a20200710449 1
 
1.1%
a20200810183 1
 
1.1%
Other values (84) 84
89.4%
2023-12-12T21:47:55.459767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 327
29.0%
2 233
20.7%
1 229
20.3%
A 94
 
8.3%
4 40
 
3.5%
9 39
 
3.5%
3 37
 
3.3%
6 35
 
3.1%
7 34
 
3.0%
5 32
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1034
91.7%
Uppercase Letter 94
 
8.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 327
31.6%
2 233
22.5%
1 229
22.1%
4 40
 
3.9%
9 39
 
3.8%
3 37
 
3.6%
6 35
 
3.4%
7 34
 
3.3%
5 32
 
3.1%
8 28
 
2.7%
Uppercase Letter
ValueCountFrequency (%)
A 94
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1034
91.7%
Latin 94
 
8.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 327
31.6%
2 233
22.5%
1 229
22.1%
4 40
 
3.9%
9 39
 
3.8%
3 37
 
3.6%
6 35
 
3.4%
7 34
 
3.3%
5 32
 
3.1%
8 28
 
2.7%
Latin
ValueCountFrequency (%)
A 94
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1128
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 327
29.0%
2 233
20.7%
1 229
20.3%
A 94
 
8.3%
4 40
 
3.5%
9 39
 
3.5%
3 37
 
3.3%
6 35
 
3.1%
7 34
 
3.0%
5 32
 
2.8%

수탁기업명
Text

Distinct48
Distinct (%)51.1%
Missing0
Missing (%)0.0%
Memory size884.0 B
2023-12-12T21:47:55.742774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length5.7553191
Min length4

Characters and Unicode

Total characters541
Distinct characters115
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)34.0%

Sample

1st row서환테크
2nd row(주)제이에프씨
3rd row(주)일우기공
4th row에스이테크
5th row토탈백닷컴
ValueCountFrequency (%)
서흥씨티디 9
 
9.5%
코텍이엔지 7
 
7.4%
보광산업 6
 
6.3%
서환테크 5
 
5.3%
주)에스디피앤이 5
 
5.3%
제이에프테크 5
 
5.3%
한일공업사 5
 
5.3%
에스이테크 4
 
4.2%
주)대광종합공구 2
 
2.1%
브솔기업 2
 
2.1%
Other values (39) 45
47.4%
2023-12-12T21:47:56.146513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
) 27
 
5.0%
주 27
 
5.0%
( 27
 
5.0%
이 26
 
4.8%
테 25
 
4.6%
크 25
 
4.6%
업 22
 
4.1%
스 17
 
3.1%
에 17
 
3.1%
서 16
 
3.0%
Other values (105) 312
57.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 475
87.8%
Close Punctuation 27
 
5.0%
Open Punctuation 27
 
5.0%
Uppercase Letter 11
 
2.0%
Space Separator 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 27
 
5.7%
이 26
 
5.5%
테 25
 
5.3%
크 25
 
5.3%
업 22
 
4.6%
스 17
 
3.6%
에 17
 
3.6%
서 16
 
3.4%
디 15
 
3.2%
산 13
 
2.7%
Other values (95) 272
57.3%
Uppercase Letter
ValueCountFrequency (%)
C 3
27.3%
T 2
18.2%
E 2
18.2%
G 1
 
9.1%
O 1
 
9.1%
N 1
 
9.1%
D 1
 
9.1%
Close Punctuation
ValueCountFrequency (%)
) 27
100.0%
Open Punctuation
ValueCountFrequency (%)
( 27
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 475
87.8%
Common 55
 
10.2%
Latin 11
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 27
 
5.7%
이 26
 
5.5%
테 25
 
5.3%
크 25
 
5.3%
업 22
 
4.6%
스 17
 
3.6%
에 17
 
3.6%
서 16
 
3.4%
디 15
 
3.2%
산 13
 
2.7%
Other values (95) 272
57.3%
Latin
ValueCountFrequency (%)
C 3
27.3%
T 2
18.2%
E 2
18.2%
G 1
 
9.1%
O 1
 
9.1%
N 1
 
9.1%
D 1
 
9.1%
Common
ValueCountFrequency (%)
) 27
49.1%
( 27
49.1%
1
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 475
87.8%
ASCII 66
 
12.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
) 27
40.9%
( 27
40.9%
C 3
 
4.5%
T 2
 
3.0%
E 2
 
3.0%
G 1
 
1.5%
1
 
1.5%
O 1
 
1.5%
N 1
 
1.5%
D 1
 
1.5%
Hangul
ValueCountFrequency (%)
주 27
 
5.7%
이 26
 
5.5%
테 25
 
5.3%
크 25
 
5.3%
업 22
 
4.6%
스 17
 
3.6%
에 17
 
3.6%
서 16
 
3.4%
디 15
 
3.2%
산 13
 
2.7%
Other values (95) 272
57.3%

위탁기업명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size884.0 B
한국가스기술공사
94 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
한국가스기술공사 94
100.0%

Length

2023-12-12T21:47:56.305539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:47:56.390617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한국가스기술공사 94
100.0%

성과공유과제명
Text

UNIQUE 

Distinct94
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size884.0 B
2023-12-12T21:47:56.699880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length35
Mean length25.478723
Min length10

Characters and Unicode

Total characters2395
Distinct characters288
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique94 ?
Unique (%)100.0%

Sample

1st row해수취수구 염소주입배관 보호커버 제작
2nd rowLNG 고압펌프 Suction Filter 개선
3rd row이동식 비상발전기 상하차 개선 구조물 제작
4th row지중 매설배관 라인마크 제거용 장치 개발
5th row이동식 온도센서(RTD) 보관함 제작
ValueCountFrequency (%)
개발 37
 
7.0%
제작 30
 
5.7%
tool 17
 
3.2%
및 7
 
1.3%
개선 6
 
1.1%
장치 6
 
1.1%
special 6
 
1.1%
lng 6
 
1.1%
정압기 5
 
0.9%
2차펌프 5
 
0.9%
Other values (329) 403
76.3%
2023-12-12T21:47:57.251135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
436
 
18.2%
o 76
 
3.2%
e 67
 
2.8%
l 52
 
2.2%
기 50
 
2.1%
개 50
 
2.1%
a 49
 
2.0%
t 45
 
1.9%
발 44
 
1.8%
i 43
 
1.8%
Other values (278) 1483
61.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1149
48.0%
Lowercase Letter 552
23.0%
Space Separator 436
 
18.2%
Uppercase Letter 215
 
9.0%
Decimal Number 13
 
0.5%
Open Punctuation 11
 
0.5%
Close Punctuation 10
 
0.4%
Other Punctuation 8
 
0.3%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 50
 
4.4%
개 50
 
4.4%
발 44
 
3.8%
제 38
 
3.3%
용 37
 
3.2%
작 36
 
3.1%
정 30
 
2.6%
전 28
 
2.4%
장 22
 
1.9%
터 21
 
1.8%
Other values (215) 793
69.0%
Uppercase Letter
ValueCountFrequency (%)
T 28
13.0%
S 27
12.6%
L 18
 
8.4%
P 12
 
5.6%
G 12
 
5.6%
R 11
 
5.1%
B 11
 
5.1%
C 10
 
4.7%
F 10
 
4.7%
M 9
 
4.2%
Other values (15) 67
31.2%
Lowercase Letter
ValueCountFrequency (%)
o 76
13.8%
e 67
12.1%
l 52
9.4%
a 49
8.9%
t 45
8.2%
i 43
7.8%
r 40
 
7.2%
n 34
 
6.2%
p 24
 
4.3%
g 21
 
3.8%
Other values (13) 101
18.3%
Decimal Number
ValueCountFrequency (%)
2 6
46.2%
8 2
 
15.4%
1 2
 
15.4%
9 2
 
15.4%
3 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
/ 3
37.5%
, 2
25.0%
. 2
25.0%
: 1
 
12.5%
Open Punctuation
ValueCountFrequency (%)
( 10
90.9%
[ 1
 
9.1%
Close Punctuation
ValueCountFrequency (%)
) 9
90.0%
] 1
 
10.0%
Space Separator
ValueCountFrequency (%)
436
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1149
48.0%
Latin 767
32.0%
Common 479
20.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 50
 
4.4%
개 50
 
4.4%
발 44
 
3.8%
제 38
 
3.3%
용 37
 
3.2%
작 36
 
3.1%
정 30
 
2.6%
전 28
 
2.4%
장 22
 
1.9%
터 21
 
1.8%
Other values (215) 793
69.0%
Latin
ValueCountFrequency (%)
o 76
 
9.9%
e 67
 
8.7%
l 52
 
6.8%
a 49
 
6.4%
t 45
 
5.9%
i 43
 
5.6%
r 40
 
5.2%
n 34
 
4.4%
T 28
 
3.7%
S 27
 
3.5%
Other values (38) 306
39.9%
Common
ValueCountFrequency (%)
436
91.0%
( 10
 
2.1%
) 9
 
1.9%
2 6
 
1.3%
/ 3
 
0.6%
8 2
 
0.4%
1 2
 
0.4%
9 2
 
0.4%
, 2
 
0.4%
. 2
 
0.4%
Other values (5) 5
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1246
52.0%
Hangul 1149
48.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
436
35.0%
o 76
 
6.1%
e 67
 
5.4%
l 52
 
4.2%
a 49
 
3.9%
t 45
 
3.6%
i 43
 
3.5%
r 40
 
3.2%
n 34
 
2.7%
T 28
 
2.2%
Other values (53) 376
30.2%
Hangul
ValueCountFrequency (%)
기 50
 
4.4%
개 50
 
4.4%
발 44
 
3.8%
제 38
 
3.3%
용 37
 
3.2%
작 36
 
3.1%
정 30
 
2.6%
전 28
 
2.4%
장 22
 
1.9%
터 21
 
1.8%
Other values (215) 793
69.0%

계약시작일
Date

Distinct77
Distinct (%)81.9%
Missing0
Missing (%)0.0%
Memory size884.0 B
Minimum2013-12-23 00:00:00
Maximum2023-03-02 00:00:00
2023-12-12T21:47:57.421346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:47:57.561561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

계약종료일
Categorical

Distinct43
Distinct (%)45.7%
Missing0
Missing (%)0.0%
Memory size884.0 B
2022-12-31
14 
2021-12-31
10 
2016-12-31
7 
2022-10-31
 
5
2021-10-12
 
4
Other values (38)
54 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique28 ?
Unique (%)29.8%

Sample

1st row2023-04-28
2nd row2023-07-31
3rd row2023-07-31
4th row2023-05-20
5th row2023-12-31

Common Values

ValueCountFrequency (%)
2022-12-31 14
 
14.9%
2021-12-31 10
 
10.6%
2016-12-31 7
 
7.4%
2022-10-31 5
 
5.3%
2021-10-12 4
 
4.3%
2020-12-31 4
 
4.3%
2019-12-31 3
 
3.2%
2017-12-31 3
 
3.2%
2022-09-30 3
 
3.2%
2022-12-30 3
 
3.2%
Other values (33) 38
40.4%

Length

2023-12-12T21:47:57.704158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2022-12-31 14
 
14.9%
2021-12-31 10
 
10.6%
2016-12-31 7
 
7.4%
2022-10-31 5
 
5.3%
2021-10-12 4
 
4.3%
2020-12-31 4
 
4.3%
2019-12-31 3
 
3.2%
2017-12-31 3
 
3.2%
2022-09-30 3
 
3.2%
2022-12-30 3
 
3.2%
Other values (33) 38
40.4%

상태
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size884.0 B
최종승인
94 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
최종승인 94
100.0%

Length

2023-12-12T21:47:57.811153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:47:57.890676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
최종승인 94
100.0%

Interactions

2023-12-12T21:47:54.110727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T21:47:57.954175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번과제번호수탁기업명성과공유과제명계약시작일계약종료일
순번1.0001.0000.7261.0000.9840.889
과제번호1.0001.0001.0001.0001.0001.000
수탁기업명0.7261.0001.0001.0000.9740.905
성과공유과제명1.0001.0001.0001.0001.0001.000
계약시작일0.9841.0000.9741.0001.0000.997
계약종료일0.8891.0000.9051.0000.9971.000
2023-12-12T21:47:58.063076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번계약종료일
순번1.0000.437
계약종료일0.4371.000

Missing values

2023-12-12T21:47:54.234835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:47:54.424019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

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