Overview

Dataset statistics

Number of variables5
Number of observations679
Missing cells3
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory28.0 KiB
Average record size in memory42.2 B

Variable types

Numeric2
DateTime2
Text1

Dataset

Description2023년 9월 18일 기준의 데이터로, 연구개발특구진흥재단의 계약체결 결과에 관한 데이터입니다.계약금액과 계약예정일 업체명 등의 데이터를 보유하고 있습니다.해당 데이터가 보유한 칼럼은 다음과 같습니다.칼럼명 : 구분, 계약금액, 계약 예정 시작일, 계약 예정 종료일, 업체명
Author(재)연구개발특구진흥재단
URLhttps://www.data.go.kr/data/15089822/fileData.do

Alerts

구분 has unique valuesUnique

Reproduction

Analysis started2023-12-12 15:04:17.928997
Analysis finished2023-12-12 15:04:18.696368
Duration0.77 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Real number (ℝ)

UNIQUE 

Distinct679
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean340
Minimum1
Maximum679
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.1 KiB
2023-12-13T00:04:18.778478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile34.9
Q1170.5
median340
Q3509.5
95-th percentile645.1
Maximum679
Range678
Interquartile range (IQR)339

Descriptive statistics

Standard deviation196.1547
Coefficient of variation (CV)0.57692559
Kurtosis-1.2
Mean340
Median Absolute Deviation (MAD)170
Skewness0
Sum230860
Variance38476.667
MonotonicityStrictly increasing
2023-12-13T00:04:18.914012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
457 1
 
0.1%
449 1
 
0.1%
450 1
 
0.1%
451 1
 
0.1%
452 1
 
0.1%
453 1
 
0.1%
454 1
 
0.1%
455 1
 
0.1%
456 1
 
0.1%
Other values (669) 669
98.5%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
679 1
0.1%
678 1
0.1%
677 1
0.1%
676 1
0.1%
675 1
0.1%
674 1
0.1%
673 1
0.1%
672 1
0.1%
671 1
0.1%
670 1
0.1%

계약금액
Real number (ℝ)

Distinct485
Distinct (%)71.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54749379
Minimum-9900000
Maximum9.31549 × 108
Zeros0
Zeros (%)0.0%
Negative1
Negative (%)0.1%
Memory size6.1 KiB
2023-12-13T00:04:19.042764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-9900000
5-th percentile3627000
Q19371750
median20000000
Q358942083
95-th percentile2.3834 × 108
Maximum9.31549 × 108
Range9.41449 × 108
Interquartile range (IQR)49570333

Descriptive statistics

Standard deviation91875466
Coefficient of variation (CV)1.6781097
Kurtosis24.683418
Mean54749379
Median Absolute Deviation (MAD)15050000
Skewness4.1725353
Sum3.7174829 × 1010
Variance8.4411012 × 1015
MonotonicityNot monotonic
2023-12-13T00:04:19.193480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6600000 10
 
1.5%
19800000 9
 
1.3%
8000000 8
 
1.2%
50000000 8
 
1.2%
9900000 8
 
1.2%
4000000 7
 
1.0%
5000000 7
 
1.0%
17000000 6
 
0.9%
10000000 6
 
0.9%
3960000 5
 
0.7%
Other values (475) 605
89.1%
ValueCountFrequency (%)
-9900000 1
 
0.1%
1000000 1
 
0.1%
1276000 1
 
0.1%
1408000 1
 
0.1%
1600000 1
 
0.1%
1936000 2
0.3%
1980000 2
0.3%
2112000 3
0.4%
2200000 1
 
0.1%
2310000 1
 
0.1%
ValueCountFrequency (%)
931549000 1
0.1%
805200000 1
0.1%
587000000 1
0.1%
550496000 1
0.1%
500000000 1
0.1%
499400000 1
0.1%
475000000 2
0.3%
427500000 1
0.1%
415800000 1
0.1%
370500000 1
0.1%
Distinct474
Distinct (%)69.8%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
Minimum2016-02-01 00:00:00
Maximum2023-05-03 00:00:00
2023-12-13T00:04:19.337417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:04:19.507338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct464
Distinct (%)68.3%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
Minimum2016-04-07 00:00:00
Maximum2024-04-27 00:00:00
2023-12-13T00:04:19.646228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:04:19.807806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct398
Distinct (%)58.9%
Missing3
Missing (%)0.4%
Memory size5.4 KiB
2023-12-13T00:04:20.057676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length28
Mean length9.2588757
Min length1

Characters and Unicode

Total characters6259
Distinct characters364
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique290 ?
Unique (%)42.9%

Sample

1st row(주)투와이드컴퍼니
2nd row페이퍼디자인
3rd row(주) 메인시드웰투어
4th row(주)한국능률협회컨설팅
5th row(재)한국산업관계연구원
ValueCountFrequency (%)
주식회사 103
 
11.8%
주)플랜아이 18
 
2.1%
에스케이렌터카 14
 
1.6%
주)에이투엠 13
 
1.5%
주)펄슨텔 12
 
1.4%
창신테크 12
 
1.4%
법무법인 11
 
1.3%
주)마이스리치 9
 
1.0%
유한회사 9
 
1.0%
예교지성회계법인 8
 
0.9%
Other values (419) 665
76.1%
2023-12-13T00:04:20.464585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
494
 
7.9%
) 382
 
6.1%
( 382
 
6.1%
243
 
3.9%
220
 
3.5%
199
 
3.2%
180
 
2.9%
136
 
2.2%
130
 
2.1%
112
 
1.8%
Other values (354) 3781
60.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5231
83.6%
Close Punctuation 382
 
6.1%
Open Punctuation 382
 
6.1%
Space Separator 199
 
3.2%
Other Punctuation 42
 
0.7%
Other Symbol 9
 
0.1%
Uppercase Letter 8
 
0.1%
Lowercase Letter 4
 
0.1%
Dash Punctuation 1
 
< 0.1%
Control 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
494
 
9.4%
243
 
4.6%
220
 
4.2%
180
 
3.4%
136
 
2.6%
130
 
2.5%
112
 
2.1%
79
 
1.5%
75
 
1.4%
71
 
1.4%
Other values (337) 3491
66.7%
Uppercase Letter
ValueCountFrequency (%)
M 3
37.5%
E 2
25.0%
S 1
 
12.5%
N 1
 
12.5%
C 1
 
12.5%
Lowercase Letter
ValueCountFrequency (%)
l 1
25.0%
u 1
25.0%
e 1
25.0%
a 1
25.0%
Other Punctuation
ValueCountFrequency (%)
, 40
95.2%
& 2
 
4.8%
Close Punctuation
ValueCountFrequency (%)
) 382
100.0%
Open Punctuation
ValueCountFrequency (%)
( 382
100.0%
Space Separator
ValueCountFrequency (%)
199
100.0%
Other Symbol
ValueCountFrequency (%)
9
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5240
83.7%
Common 1007
 
16.1%
Latin 12
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
494
 
9.4%
243
 
4.6%
220
 
4.2%
180
 
3.4%
136
 
2.6%
130
 
2.5%
112
 
2.1%
79
 
1.5%
75
 
1.4%
71
 
1.4%
Other values (338) 3500
66.8%
Latin
ValueCountFrequency (%)
M 3
25.0%
E 2
16.7%
l 1
 
8.3%
u 1
 
8.3%
e 1
 
8.3%
a 1
 
8.3%
S 1
 
8.3%
N 1
 
8.3%
C 1
 
8.3%
Common
ValueCountFrequency (%)
) 382
37.9%
( 382
37.9%
199
19.8%
, 40
 
4.0%
& 2
 
0.2%
- 1
 
0.1%
1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5231
83.6%
ASCII 1019
 
16.3%
None 9
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
494
 
9.4%
243
 
4.6%
220
 
4.2%
180
 
3.4%
136
 
2.6%
130
 
2.5%
112
 
2.1%
79
 
1.5%
75
 
1.4%
71
 
1.4%
Other values (337) 3491
66.7%
ASCII
ValueCountFrequency (%)
) 382
37.5%
( 382
37.5%
199
19.5%
, 40
 
3.9%
M 3
 
0.3%
& 2
 
0.2%
E 2
 
0.2%
- 1
 
0.1%
l 1
 
0.1%
1
 
0.1%
Other values (6) 6
 
0.6%
None
ValueCountFrequency (%)
9
100.0%

Interactions

2023-12-13T00:04:18.314090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:04:18.142478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:04:18.414451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:04:18.228701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T00:04:20.572670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분계약금액
구분1.0000.092
계약금액0.0921.000
2023-12-13T00:04:20.667740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분계약금액
구분1.000-0.044
계약금액-0.0441.000

Missing values

2023-12-13T00:04:18.553669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:04:18.660674image/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

구분계약금액계약예정 시작일계약예정 종료일업체명
01450000002016-03-302016-05-29(주)투와이드컴퍼니
12440000002016-03-302016-04-19페이퍼디자인
23130000002016-04-072016-04-07(주) 메인시드웰투어
34600000002016-04-212016-09-18(주)한국능률협회컨설팅
45700000002016-04-262016-10-20(재)한국산업관계연구원
5668000002016-05-122016-07-10(주)플랜아이
6799800002016-05-132016-05-26(주)테크원
78870000002016-06-152016-10-14(주)삼정이앤씨
89299420002016-06-172016-06-22(주)마운틴디스플레이테크
9105000000002016-07-072016-11-30(주)빅킴
구분계약금액계약예정 시작일계약예정 종료일업체명
669670500000002023-01-012023-06-26비즈니스전략연구소(주)
670671183936002022-05-112022-10-10해든기술
671672441044002022-07-222022-09-21영란 주식회사
67267399000002022-08-032022-08-26남산조경(주)
673674150000002022-09-192022-10-18(주) 티유컨설팅
674675880000002022-12-062023-03-05(주)비볼드커뮤니케이션즈
675676830000002022-12-232023-03-22주식회사 미주씨앤디
676677138600002023-03-282024-03-27(주)중부엘리베이터
67767850000002023-04-252023-11-30(주)케이티지
678679110800002023-04-292023-04-29주식회사 세광기업