Overview

Dataset statistics

Number of variables4
Number of observations208
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.0 KiB
Average record size in memory34.6 B

Variable types

Numeric2
DateTime1
Text1

Dataset

Description한전KDN 전자입찰시스템에 공지된 공지사항에 대한 정보입니다. 등록일자, 등록번호, 조회수에 대한 정보를 제공합니다.
URLhttps://www.data.go.kr/data/15064540/fileData.do

Alerts

등록번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 06:56:23.187865
Analysis finished2023-12-12 06:56:23.906768
Duration0.72 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

등록번호
Real number (ℝ)

UNIQUE 

Distinct208
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean104.5
Minimum1
Maximum208
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-12T15:56:23.974456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile11.35
Q152.75
median104.5
Q3156.25
95-th percentile197.65
Maximum208
Range207
Interquartile range (IQR)103.5

Descriptive statistics

Standard deviation60.188592
Coefficient of variation (CV)0.57596739
Kurtosis-1.2
Mean104.5
Median Absolute Deviation (MAD)52
Skewness0
Sum21736
Variance3622.6667
MonotonicityNot monotonic
2023-12-12T15:56:24.554063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
208 1
 
0.5%
104 1
 
0.5%
75 1
 
0.5%
74 1
 
0.5%
73 1
 
0.5%
72 1
 
0.5%
71 1
 
0.5%
70 1
 
0.5%
69 1
 
0.5%
68 1
 
0.5%
Other values (198) 198
95.2%
ValueCountFrequency (%)
1 1
0.5%
2 1
0.5%
3 1
0.5%
4 1
0.5%
5 1
0.5%
6 1
0.5%
7 1
0.5%
8 1
0.5%
9 1
0.5%
10 1
0.5%
ValueCountFrequency (%)
208 1
0.5%
207 1
0.5%
206 1
0.5%
205 1
0.5%
204 1
0.5%
203 1
0.5%
202 1
0.5%
201 1
0.5%
200 1
0.5%
199 1
0.5%

등록일자
Date

Distinct200
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
Minimum2009-04-17 00:00:00
Maximum2023-08-30 00:00:00
2023-12-12T15:56:24.720466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:56:24.891387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

제목
Text

Distinct187
Distinct (%)89.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-12T15:56:25.298024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length48
Mean length25.721154
Min length10

Characters and Unicode

Total characters5350
Distinct characters312
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

Unique175 ?
Unique (%)84.1%

Sample

1st row2023년도 ESG경영 인증취득 지원사업 참여기업 모집(~9.13)
2nd row2023년도 협력사 행동규범 모니터링 참여사 공모
3rd row공공데이터 개방 및 활용 수요조사 안내
4th row'23년 9월 중소기업 ICT직무교육 시행
5th row2023년 한전KDN 우수협력사 선정 결과 안내
ValueCountFrequency (%)
중소기업 100
 
8.3%
안내 67
 
5.5%
시행 64
 
5.3%
온라인 38
 
3.1%
무상 36
 
3.0%
교육지원 30
 
2.5%
ict직무교육 27
 
2.2%
직무교육 24
 
2.0%
ict 23
 
1.9%
공지 17
 
1.4%
Other values (378) 783
64.8%
2023-12-12T15:56:25.967245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1002
 
18.7%
기 147
 
2.7%
업 145
 
2.7%
2 136
 
2.5%
1 131
 
2.4%
중 128
 
2.4%
소 114
 
2.1%
시 111
 
2.1%
0 104
 
1.9%
무 101
 
1.9%
Other values (302) 3231
60.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3320
62.1%
Space Separator 1002
 
18.7%
Decimal Number 532
 
9.9%
Uppercase Letter 221
 
4.1%
Other Punctuation 124
 
2.3%
Open Punctuation 50
 
0.9%
Close Punctuation 50
 
0.9%
Lowercase Letter 23
 
0.4%
Math Symbol 15
 
0.3%
Initial Punctuation 10
 
0.2%
Other values (2) 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 147
 
4.4%
업 145
 
4.4%
중 128
 
3.9%
소 114
 
3.4%
시 111
 
3.3%
무 101
 
3.0%
년 96
 
2.9%
육 90
 
2.7%
교 90
 
2.7%
월 89
 
2.7%
Other values (245) 2209
66.5%
Uppercase Letter
ValueCountFrequency (%)
I 54
24.4%
C 53
24.0%
T 52
23.5%
D 10
 
4.5%
K 10
 
4.5%
N 9
 
4.1%
S 8
 
3.6%
M 7
 
3.2%
A 4
 
1.8%
E 4
 
1.8%
Other values (7) 10
 
4.5%
Lowercase Letter
ValueCountFrequency (%)
e 4
17.4%
t 3
13.0%
o 3
13.0%
r 3
13.0%
g 2
8.7%
d 2
8.7%
b 1
 
4.3%
l 1
 
4.3%
h 1
 
4.3%
c 1
 
4.3%
Other values (2) 2
8.7%
Decimal Number
ValueCountFrequency (%)
2 136
25.6%
1 131
24.6%
0 104
19.5%
9 32
 
6.0%
3 31
 
5.8%
8 29
 
5.5%
7 23
 
4.3%
4 17
 
3.2%
6 16
 
3.0%
5 13
 
2.4%
Other Punctuation
ValueCountFrequency (%)
' 61
49.2%
. 36
29.0%
: 10
 
8.1%
· 6
 
4.8%
, 6
 
4.8%
" 4
 
3.2%
/ 1
 
0.8%
Open Punctuation
ValueCountFrequency (%)
( 28
56.0%
[ 17
34.0%
『 5
 
10.0%
Close Punctuation
ValueCountFrequency (%)
) 28
56.0%
] 17
34.0%
』 5
 
10.0%
Space Separator
ValueCountFrequency (%)
1002
100.0%
Math Symbol
ValueCountFrequency (%)
~ 15
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 10
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3320
62.1%
Common 1786
33.4%
Latin 244
 
4.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 147
 
4.4%
업 145
 
4.4%
중 128
 
3.9%
소 114
 
3.4%
시 111
 
3.3%
무 101
 
3.0%
년 96
 
2.9%
육 90
 
2.7%
교 90
 
2.7%
월 89
 
2.7%
Other values (245) 2209
66.5%
Latin
ValueCountFrequency (%)
I 54
22.1%
C 53
21.7%
T 52
21.3%
D 10
 
4.1%
K 10
 
4.1%
N 9
 
3.7%
S 8
 
3.3%
M 7
 
2.9%
A 4
 
1.6%
e 4
 
1.6%
Other values (19) 33
13.5%
Common
ValueCountFrequency (%)
1002
56.1%
2 136
 
7.6%
1 131
 
7.3%
0 104
 
5.8%
' 61
 
3.4%
. 36
 
2.0%
9 32
 
1.8%
3 31
 
1.7%
8 29
 
1.6%
( 28
 
1.6%
Other values (18) 196
 
11.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3320
62.1%
ASCII 2004
37.5%
None 16
 
0.3%
Punctuation 10
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1002
50.0%
2 136
 
6.8%
1 131
 
6.5%
0 104
 
5.2%
' 61
 
3.0%
I 54
 
2.7%
C 53
 
2.6%
T 52
 
2.6%
. 36
 
1.8%
9 32
 
1.6%
Other values (43) 343
 
17.1%
Hangul
ValueCountFrequency (%)
기 147
 
4.4%
업 145
 
4.4%
중 128
 
3.9%
소 114
 
3.4%
시 111
 
3.3%
무 101
 
3.0%
년 96
 
2.9%
육 90
 
2.7%
교 90
 
2.7%
월 89
 
2.7%
Other values (245) 2209
66.5%
Punctuation
ValueCountFrequency (%)
‘ 10
100.0%
None
ValueCountFrequency (%)
· 6
37.5%
『 5
31.2%
』 5
31.2%

조회수
Real number (ℝ)

Distinct150
Distinct (%)72.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean348.47115
Minimum1
Maximum10518
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-12T15:56:26.143183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile23.35
Q162.75
median85.5
Q3276.25
95-th percentile1248.6
Maximum10518
Range10517
Interquartile range (IQR)213.5

Descriptive statistics

Standard deviation885.83207
Coefficient of variation (CV)2.5420528
Kurtosis88.104758
Mean348.47115
Median Absolute Deviation (MAD)41
Skewness8.347413
Sum72482
Variance784698.46
MonotonicityNot monotonic
2023-12-12T15:56:26.318065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
80 5
 
2.4%
73 4
 
1.9%
64 4
 
1.9%
53 4
 
1.9%
78 4
 
1.9%
94 3
 
1.4%
40 3
 
1.4%
67 3
 
1.4%
82 3
 
1.4%
76 3
 
1.4%
Other values (140) 172
82.7%
ValueCountFrequency (%)
1 1
0.5%
3 2
1.0%
5 2
1.0%
12 1
0.5%
13 1
0.5%
15 1
0.5%
20 1
0.5%
21 1
0.5%
23 1
0.5%
24 2
1.0%
ValueCountFrequency (%)
10518 1
0.5%
5198 1
0.5%
2345 1
0.5%
1756 1
0.5%
1721 1
0.5%
1687 1
0.5%
1532 1
0.5%
1477 1
0.5%
1349 1
0.5%
1292 1
0.5%

Interactions

2023-12-12T15:56:23.615938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:56:23.392554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:56:23.681614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:56:23.467468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T15:56:26.434562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
등록번호조회수
등록번호1.0000.406
조회수0.4061.000
2023-12-12T15:56:26.535950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
등록번호조회수
등록번호1.000-0.468
조회수-0.4681.000

Missing values

2023-12-12T15:56:23.775851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:56:23.875615image/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

등록번호등록일자제목조회수
02082023-08-302023년도 ESG경영 인증취득 지원사업 참여기업 모집(~9.13)5
12072023-08-212023년도 협력사 행동규범 모니터링 참여사 공모70
22052023-08-08공공데이터 개방 및 활용 수요조사 안내26
32062023-08-08'23년 9월 중소기업 ICT직무교육 시행13
42032023-07-072023년 한전KDN 우수협력사 선정 결과 안내332
52042023-07-07'23년 8월 중소기업 ICT직무교육 시행153
62022023-07-06[연기공고] 시스템 장애로 인한 공고 연기 안내276
72012023-06-19[연기공고] 시스템 장애로 인한 공고 연기 안내1292
82002023-06-08'23년 7월 중소기업 ICT직무교육 시행147
91992023-06-02[재공지] 전자입찰시스템 MS Edge 접속방법 안내10518
등록번호등록일자제목조회수
198102010-01-05업체 계좌약정 안내1042
19992009-12-31부정당업자의 입찰참가자격 제한기준 개정 알림1002
20082009-12-17전자세금계산서 제도 시행관련 공지930
20172009-10-23당사 휴무일 안내(2009.10.26)862
20262009-07-23중소기업 기술개발제품 공공구매 확대 지원사업 시행계획 공고967
20352009-06-18자금결제정보 문자서비스(SMS) 확대 시행990
20442009-06-08국제거래분야 청렴계약제 시행 알림1043
20532009-05-13부정당업자의 입찰참가자격 제한기준 개정 알림877
20622009-05-07인증서 사용시 에러가 날 경우 조치 방법1233
20712009-04-17전자입찰시스템 신규 오픈 안내1257