Overview

Dataset statistics

Number of variables8
Number of observations30
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.1 KiB
Average record size in memory70.3 B

Variable types

Categorical3
DateTime2
Text2
Numeric1

Dataset

Description기술보증기금이 연간 입찰을 통해 발주한 사업 또는 계약 현황 정보 데이터- 연도, 구분, 공고방법, 공고일자, 사업명, 낙찰업체명, 금액(천원), 계약일자
Author기술보증기금
URLhttps://www.data.go.kr/data/15104663/fileData.do

Alerts

연도 has constant value ""Constant
공고방법 has constant value ""Constant
구분 is highly imbalanced (51.4%)Imbalance
사업명 has unique valuesUnique
금액 has unique valuesUnique

Reproduction

Analysis started2024-03-14 08:58:35.837560
Analysis finished2024-03-14 08:58:37.281503
Duration1.44 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연도
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size368.0 B
2023
30 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023
2nd row2023
3rd row2023
4th row2023
5th row2023

Common Values

ValueCountFrequency (%)
2023 30
100.0%

Length

2024-03-14T17:58:37.493917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T17:58:37.814635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023 30
100.0%

구분
Categorical

IMBALANCE 

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size368.0 B
용역
25 
공사
4 
물품
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
용역 25
83.3%
공사 4
 
13.3%
물품 1
 
3.3%

Length

2024-03-14T17:58:38.133371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T17:58:38.449845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
용역 25
83.3%
공사 4
 
13.3%
물품 1
 
3.3%

공고방법
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size368.0 B
공개입찰계약
30 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공개입찰계약 30
100.0%

Length

2024-03-14T17:58:38.828781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T17:58:39.128688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공개입찰계약 30
100.0%

공고일자
Date

Distinct27
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Memory size368.0 B
Minimum2023-02-13 00:00:00
Maximum2023-11-28 00:00:00
2024-03-14T17:58:39.421099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T17:58:39.785649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)

사업명
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size368.0 B
2024-03-14T17:58:40.900651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length27
Mean length23.766667
Min length15

Characters and Unicode

Total characters713
Distinct characters172
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)100.0%

Sample

1st row기술보증기금 업무용차량 자동차보험가입
2nd row기술보증기금 2023년도 고객직원만족도조사 사업 용역
3rd row2023년 상반기 기술보증기금 업무용차량 임차(렌트)
4th row기보정보시스템 운영환경개선을 위한 유지관리 용역
5th row데이터 활용역량 진단 및 역량강화 컨설팅
ValueCountFrequency (%)
용역 9
 
5.7%
및 8
 
5.0%
기술보증기금 7
 
4.4%
고도화 6
 
3.8%
내장공사 4
 
2.5%
2023년 4
 
2.5%
사무환경개선 4
 
2.5%
2023년도 3
 
1.9%
업무용차량 3
 
1.9%
추진 3
 
1.9%
Other values (99) 108
67.9%
2024-03-14T17:58:42.444152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
129
 
18.1%
기 27
 
3.8%
2 21
 
2.9%
용 19
 
2.7%
보 19
 
2.7%
사 19
 
2.7%
역 14
 
2.0%
화 13
 
1.8%
업 13
 
1.8%
도 12
 
1.7%
Other values (162) 427
59.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 523
73.4%
Space Separator 129
 
18.1%
Decimal Number 40
 
5.6%
Uppercase Letter 15
 
2.1%
Other Punctuation 2
 
0.3%
Close Punctuation 2
 
0.3%
Open Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 27
 
5.2%
용 19
 
3.6%
보 19
 
3.6%
사 19
 
3.6%
역 14
 
2.7%
화 13
 
2.5%
업 13
 
2.5%
도 12
 
2.3%
무 12
 
2.3%
지 10
 
1.9%
Other values (141) 365
69.8%
Uppercase Letter
ValueCountFrequency (%)
I 3
20.0%
T 3
20.0%
D 2
13.3%
A 1
 
6.7%
E 1
 
6.7%
S 1
 
6.7%
F 1
 
6.7%
C 1
 
6.7%
G 1
 
6.7%
B 1
 
6.7%
Decimal Number
ValueCountFrequency (%)
2 21
52.5%
0 10
25.0%
3 8
 
20.0%
4 1
 
2.5%
Other Punctuation
ValueCountFrequency (%)
· 1
50.0%
, 1
50.0%
Close Punctuation
ValueCountFrequency (%)
」 1
50.0%
) 1
50.0%
Open Punctuation
ValueCountFrequency (%)
「 1
50.0%
( 1
50.0%
Space Separator
ValueCountFrequency (%)
129
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 523
73.4%
Common 175
 
24.5%
Latin 15
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 27
 
5.2%
용 19
 
3.6%
보 19
 
3.6%
사 19
 
3.6%
역 14
 
2.7%
화 13
 
2.5%
업 13
 
2.5%
도 12
 
2.3%
무 12
 
2.3%
지 10
 
1.9%
Other values (141) 365
69.8%
Common
ValueCountFrequency (%)
129
73.7%
2 21
 
12.0%
0 10
 
5.7%
3 8
 
4.6%
· 1
 
0.6%
4 1
 
0.6%
」 1
 
0.6%
「 1
 
0.6%
, 1
 
0.6%
( 1
 
0.6%
Latin
ValueCountFrequency (%)
I 3
20.0%
T 3
20.0%
D 2
13.3%
A 1
 
6.7%
E 1
 
6.7%
S 1
 
6.7%
F 1
 
6.7%
C 1
 
6.7%
G 1
 
6.7%
B 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 523
73.4%
ASCII 187
 
26.2%
None 3
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
129
69.0%
2 21
 
11.2%
0 10
 
5.3%
3 8
 
4.3%
I 3
 
1.6%
T 3
 
1.6%
D 2
 
1.1%
A 1
 
0.5%
4 1
 
0.5%
E 1
 
0.5%
Other values (8) 8
 
4.3%
Hangul
ValueCountFrequency (%)
기 27
 
5.2%
용 19
 
3.6%
보 19
 
3.6%
사 19
 
3.6%
역 14
 
2.7%
화 13
 
2.5%
업 13
 
2.5%
도 12
 
2.3%
무 12
 
2.3%
지 10
 
1.9%
Other values (141) 365
69.8%
None
ValueCountFrequency (%)
· 1
33.3%
」 1
33.3%
「 1
33.3%

낙찰업체명
Text

Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size368.0 B
2024-03-14T17:58:43.294605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length10
Mean length8.2
Min length4

Characters and Unicode

Total characters246
Distinct characters107
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)93.3%

Sample

1st row현대해상화재보험
2nd row(주)리서치랩
3rd row롯데렌탈
4th row(주)투이컨설팅
5th row(주)에스피파트너스
ValueCountFrequency (%)
주)한국능률협회컨설팅 2
 
5.7%
주식회사 2
 
5.7%
현대해상화재보험 1
 
2.9%
주)원디자인 1
 
2.9%
아이디노 1
 
2.9%
한국생산성본부 1
 
2.9%
케이데이터기술 1
 
2.9%
주)에프원시큐리티 1
 
2.9%
한국평가데이터(주 1
 
2.9%
주)리서치랩 1
 
2.9%
Other values (23) 23
65.7%
2024-03-14T17:58:44.501305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 20
 
8.1%
( 16
 
6.5%
) 16
 
6.5%
이 9
 
3.7%
회 7
 
2.8%
스 6
 
2.4%
인 6
 
2.4%
한 5
 
2.0%
국 5
 
2.0%
5
 
2.0%
Other values (97) 151
61.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 209
85.0%
Open Punctuation 16
 
6.5%
Close Punctuation 16
 
6.5%
Space Separator 5
 
2.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 20
 
9.6%
이 9
 
4.3%
회 7
 
3.3%
스 6
 
2.9%
인 6
 
2.9%
한 5
 
2.4%
국 5
 
2.4%
에 4
 
1.9%
리 4
 
1.9%
사 4
 
1.9%
Other values (94) 139
66.5%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 209
85.0%
Common 37
 
15.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 20
 
9.6%
이 9
 
4.3%
회 7
 
3.3%
스 6
 
2.9%
인 6
 
2.9%
한 5
 
2.4%
국 5
 
2.4%
에 4
 
1.9%
리 4
 
1.9%
사 4
 
1.9%
Other values (94) 139
66.5%
Common
ValueCountFrequency (%)
( 16
43.2%
) 16
43.2%
5
 
13.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 209
85.0%
ASCII 37
 
15.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 20
 
9.6%
이 9
 
4.3%
회 7
 
3.3%
스 6
 
2.9%
인 6
 
2.9%
한 5
 
2.4%
국 5
 
2.4%
에 4
 
1.9%
리 4
 
1.9%
사 4
 
1.9%
Other values (94) 139
66.5%
ASCII
ValueCountFrequency (%)
( 16
43.2%
) 16
43.2%
5
 
13.5%

금액
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean180904.4
Minimum23408
Maximum1058006
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size398.0 B
2024-03-14T17:58:44.902709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum23408
5-th percentile36011.25
Q164887.5
median97300
Q3179960.25
95-th percentile581204.6
Maximum1058006
Range1034598
Interquartile range (IQR)115072.75

Descriptive statistics

Standard deviation219172.07
Coefficient of variation (CV)1.2115353
Kurtosis9.2222326
Mean180904.4
Median Absolute Deviation (MAD)47312
Skewness2.8837238
Sum5427132
Variance4.8036396 × 1010
MonotonicityNot monotonic
2024-03-14T17:58:45.316887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
24597 1
 
3.3%
185247 1
 
3.3%
101800 1
 
3.3%
303936 1
 
3.3%
719972 1
 
3.3%
141530 1
 
3.3%
89824 1
 
3.3%
91208 1
 
3.3%
66500 1
 
3.3%
49962 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
23408 1
3.3%
24597 1
3.3%
49962 1
3.3%
49976 1
3.3%
50000 1
3.3%
54560 1
3.3%
60000 1
3.3%
64350 1
3.3%
66500 1
3.3%
80000 1
3.3%
ValueCountFrequency (%)
1058006 1
3.3%
719972 1
3.3%
411600 1
3.3%
303936 1
3.3%
298000 1
3.3%
292800 1
3.3%
269914 1
3.3%
185247 1
3.3%
164100 1
3.3%
148797 1
3.3%

계약일자
Date

Distinct28
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Memory size368.0 B
Minimum2023-02-24 00:00:00
Maximum2023-12-26 00:00:00
2024-03-14T17:58:45.681998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T17:58:46.047546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)

Interactions

2024-03-14T17:58:36.362056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T17:58:46.283455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분공고일자사업명낙찰업체명금액계약일자
구분1.0000.0001.0001.0000.0001.000
공고일자0.0001.0001.0000.9660.0000.916
사업명1.0001.0001.0001.0001.0001.000
낙찰업체명1.0000.9661.0001.0000.9470.971
금액0.0000.0001.0000.9471.0000.000
계약일자1.0000.9161.0000.9710.0001.000
2024-03-14T17:58:46.547222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
금액구분
금액1.0000.000
구분0.0001.000

Missing values

2024-03-14T17:58:36.706775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T17:58:37.123357image/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

연도구분공고방법공고일자사업명낙찰업체명금액계약일자
02023용역공개입찰계약2023-02-13기술보증기금 업무용차량 자동차보험가입현대해상화재보험245972023-02-24
12023용역공개입찰계약2023-03-06기술보증기금 2023년도 고객직원만족도조사 사업 용역(주)리서치랩545602023-03-31
22023용역공개입찰계약2023-03-132023년 상반기 기술보증기금 업무용차량 임차(렌트)롯데렌탈2928002023-03-23
32023용역공개입찰계약2023-03-28기보정보시스템 운영환경개선을 위한 유지관리 용역(주)투이컨설팅2980002023-04-28
42023용역공개입찰계약2023-04-05데이터 활용역량 진단 및 역량강화 컨설팅(주)에스피파트너스600002023-05-04
52023용역공개입찰계약2023-04-07본점 전기안전관리자 위탁용역(주)신우이엔지499762023-05-02
62023용역공개입찰계약2023-04-182023년 기보 ESG 컨설팅 지원사업 수행용역 계약(주)한국능률협회컨설팅1641002023-06-22
72023용역공개입찰계약2023-04-282023년도 하계휴양소 위탁운영 용역 계약서샬레코리아(주)2699142023-06-07
82023용역공개입찰계약2023-05-102023년 정규직 신입직원 채용 대행 용역 계약인크루트 주식회사4116002023-06-07
92023용역공개입찰계약2023-05-122022년도 TCFD,지속가능경영보고서 기획 및 발간(주)이에스지파트너스500002023-06-08
연도구분공고방법공고일자사업명낙찰업체명금액계약일자
202023용역공개입찰계약2023-08-17AI기반 평가모형 통합체계 고도화주식회사 케이데이터기술1450002023-09-07
212023용역공개입찰계약2023-08-29정보보안 취약점평가 컨설팅 추진(주)에프원시큐리티940002023-10-06
222023용역공개입찰계약2023-09-15중소·벤처기업 진단 및 인사이트 보고서 개발 용역계약서한국평가데이터(주)499622023-10-13
232023용역공개입찰계약2023-09-21성과 중심 직무개발 및 직무급 체계 고도화(주)한국능률협회컨설팅665002023-10-20
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