Overview

Dataset statistics

Number of variables34
Number of observations128
Missing cells289
Missing cells (%)6.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory35.0 KiB
Average record size in memory280.0 B

Variable types

Categorical25
Text4
DateTime2
Numeric3

Dataset

Description한국중부발전(주)의 SW구축사업계획예산, 상용SW구매계획예산, ICT장비구축 HW구매계획예산 발주예정 정보입니다.
Author한국중부발전(주)
URLhttps://www.data.go.kr/data/15068386/fileData.do

Alerts

조사년도 has constant value ""Constant
조사구분 has constant value ""Constant
재원 has constant value ""Constant
사업분류 is highly imbalanced (52.6%)Imbalance
사업유형 is highly imbalanced (52.6%)Imbalance
신사업유형 is highly imbalanced (63.9%)Imbalance
정보보호사업(장비) 해당여부 is highly imbalanced (67.6%)Imbalance
정보보호사업(장비) 구분코드 is highly imbalanced (52.0%)Imbalance
컴퓨팅장비 구분코드 is highly imbalanced (54.0%)Imbalance
네트워크장비 구분코드 is highly imbalanced (52.1%)Imbalance
구분코드 is highly imbalanced (60.7%)Imbalance
발주여부 is highly imbalanced (54.2%)Imbalance
상용소프트웨어분리발주추진여부 is highly imbalanced (74.6%)Imbalance
상용소프트웨어분리발주추진예산(원) is highly imbalanced (93.4%)Imbalance
하드웨어장비도입여부 is highly imbalanced (67.6%)Imbalance
하드웨어장비도입예산(원) is highly imbalanced (93.4%)Imbalance
상용소프트웨어도입여부 is highly imbalanced (67.6%)Imbalance
상용소프트웨어도입예산(원) is highly imbalanced (93.4%)Imbalance
사업명 has 22 (17.2%) missing valuesMissing
사업개요 has 22 (17.2%) missing valuesMissing
품목명 has 13 (10.2%) missing valuesMissing
방송장비 구분코드 has 118 (92.2%) missing valuesMissing
사업기간시작월 has 22 (17.2%) missing valuesMissing
사업기간종료월 has 22 (17.2%) missing valuesMissing
사업예산(원) has 22 (17.2%) missing valuesMissing
구매예산(원) has 13 (10.2%) missing valuesMissing
구매수량 has 35 (27.3%) missing valuesMissing

Reproduction

Analysis started2023-12-12 03:12:40.002885
Analysis finished2023-12-12 03:12:40.942134
Duration0.94 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

조사년도
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023
128 

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 128
100.0%

Length

2023-12-12T12:12:41.015540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:12:41.146268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023 128
100.0%

조사구분
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
예정
128 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
예정 128
100.0%

Length

2023-12-12T12:12:41.277975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:12:41.406076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
예정 128
100.0%

예산구분
Categorical

Distinct3
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
ICT장비구축 HW구매계획예산
93 
상용SW구매계획예산
22 
SW구축사업계획예산
13 

Length

Max length16
Median length16
Mean length14.359375
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
ICT장비구축 HW구매계획예산 93
72.7%
상용SW구매계획예산 22
 
17.2%
SW구축사업계획예산 13
 
10.2%

Length

2023-12-12T12:12:41.540148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:12:41.690292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
ict장비구축 93
42.1%
hw구매계획예산 93
42.1%
상용sw구매계획예산 22
 
10.0%
sw구축사업계획예산 13
 
5.9%

사업소
Categorical

Distinct8
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
정보보안처
59 
보령발전본부
21 
제주발전본부
14 
신보령발전본부
9 
인천발전본부
9 
Other values (3)
16 

Length

Max length7
Median length6
Mean length5.6640625
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정보보안처 59
46.1%
보령발전본부 21
 
16.4%
제주발전본부 14
 
10.9%
신보령발전본부 9
 
7.0%
인천발전본부 9
 
7.0%
신서천발전본부 7
 
5.5%
세종발전본부 6
 
4.7%
서울발전본부 3
 
2.3%

Length

2023-12-12T12:12:41.842642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:12:42.047789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정보보안처 59
46.1%
보령발전본부 21
 
16.4%
제주발전본부 14
 
10.9%
신보령발전본부 9
 
7.0%
인천발전본부 9
 
7.0%
신서천발전본부 7
 
5.5%
세종발전본부 6
 
4.7%
서울발전본부 3
 
2.3%

부서
Categorical

Distinct8
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
정보통신부
55 
정보보안팀
48 
정보보안실
12 
ICT기획부
 
4
ICT기획부
 
4
Other values (3)
 
5

Length

Max length7
Median length5
Mean length5.09375
Min length5

Unique

Unique1 ?
Unique (%)0.8%

Sample

1st row비상계획팀
2nd row ICT기획부
3rd row ICT기획부
4th row ICT기획부
5th row ICT기획부

Common Values

ValueCountFrequency (%)
정보통신부 55
43.0%
정보보안팀 48
37.5%
정보보안실 12
 
9.4%
ICT기획부 4
 
3.1%
ICT기획부 4
 
3.1%
비상계획팀 2
 
1.6%
정보보안부 2
 
1.6%
인재개발부 1
 
0.8%

Length

2023-12-12T12:12:42.333580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:12:42.507387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정보통신부 55
43.0%
정보보안팀 48
37.5%
정보보안실 12
 
9.4%
ict기획부 8
 
6.2%
비상계획팀 2
 
1.6%
정보보안부 2
 
1.6%
인재개발부 1
 
0.8%

사업명
Text

MISSING 

Distinct56
Distinct (%)52.8%
Missing22
Missing (%)17.2%
Memory size1.1 KiB
2023-12-12T12:12:42.856696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length20
Mean length13.132075
Min length6

Characters and Unicode

Total characters1392
Distinct characters169
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique35 ?
Unique (%)33.0%

Sample

1st row항만시설 출입관리시스템 구축
2nd row비즈니스 파트너 등록 및 선금지급 시스템 구축
3rd rowRPA 업무 자동화 확대 적용
4th row모바일 결재서비스 고도화
5th rowVPP 실시간 예측입찰시스템 구축
ValueCountFrequency (%)
구매 22
 
6.7%
보강 20
 
6.1%
23년 13
 
4.0%
네트워크 11
 
3.3%
고도화 10
 
3.0%
구축 10
 
3.0%
개선 10
 
3.0%
보안설비 9
 
2.7%
자재구매 8
 
2.4%
춘장대 6
 
1.8%
Other values (101) 210
63.8%
2023-12-12T12:12:43.483254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
223
 
16.0%
보 60
 
4.3%
구 43
 
3.1%
비 35
 
2.5%
강 30
 
2.2%
매 30
 
2.2%
설 29
 
2.1%
신 29
 
2.1%
기 27
 
1.9%
화 26
 
1.9%
Other values (159) 860
61.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1012
72.7%
Space Separator 223
 
16.0%
Uppercase Letter 105
 
7.5%
Decimal Number 42
 
3.0%
Dash Punctuation 5
 
0.4%
Close Punctuation 2
 
0.1%
Open Punctuation 2
 
0.1%
Lowercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
보 60
 
5.9%
구 43
 
4.2%
비 35
 
3.5%
강 30
 
3.0%
매 30
 
3.0%
설 29
 
2.9%
신 29
 
2.9%
기 27
 
2.7%
화 26
 
2.6%
시 25
 
2.5%
Other values (135) 678
67.0%
Uppercase Letter
ValueCountFrequency (%)
V 14
13.3%
C 12
11.4%
T 11
10.5%
A 10
9.5%
O 9
8.6%
D 9
8.6%
I 9
8.6%
P 8
7.6%
R 6
5.7%
S 4
 
3.8%
Other values (6) 13
12.4%
Decimal Number
ValueCountFrequency (%)
2 21
50.0%
3 20
47.6%
0 1
 
2.4%
Space Separator
ValueCountFrequency (%)
223
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1012
72.7%
Common 274
 
19.7%
Latin 106
 
7.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
보 60
 
5.9%
구 43
 
4.2%
비 35
 
3.5%
강 30
 
3.0%
매 30
 
3.0%
설 29
 
2.9%
신 29
 
2.9%
기 27
 
2.7%
화 26
 
2.6%
시 25
 
2.5%
Other values (135) 678
67.0%
Latin
ValueCountFrequency (%)
V 14
13.2%
C 12
11.3%
T 11
10.4%
A 10
9.4%
O 9
8.5%
D 9
8.5%
I 9
8.5%
P 8
7.5%
R 6
5.7%
S 4
 
3.8%
Other values (7) 14
13.2%
Common
ValueCountFrequency (%)
223
81.4%
2 21
 
7.7%
3 20
 
7.3%
- 5
 
1.8%
) 2
 
0.7%
( 2
 
0.7%
0 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1012
72.7%
ASCII 380
 
27.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
223
58.7%
2 21
 
5.5%
3 20
 
5.3%
V 14
 
3.7%
C 12
 
3.2%
T 11
 
2.9%
A 10
 
2.6%
O 9
 
2.4%
D 9
 
2.4%
I 9
 
2.4%
Other values (14) 42
 
11.1%
Hangul
ValueCountFrequency (%)
보 60
 
5.9%
구 43
 
4.2%
비 35
 
3.5%
강 30
 
3.0%
매 30
 
3.0%
설 29
 
2.9%
신 29
 
2.9%
기 27
 
2.7%
화 26
 
2.6%
시 25
 
2.5%
Other values (135) 678
67.0%

사업개요
Text

MISSING 

Distinct77
Distinct (%)72.6%
Missing22
Missing (%)17.2%
Memory size1.1 KiB
2023-12-12T12:12:43.916027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length71
Median length44
Mean length25.886792
Min length9

Characters and Unicode

Total characters2744
Distinct characters273
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

Unique62 ?
Unique (%)58.5%

Sample

1st row항만시설 출입관리 보안 강화
2nd row ERP 시스템 구매처 등록, 선금신청시 담당자 업무처리 절차를 개선하여 협력기업에서 직접 입력할 수 있도록 서비스 제공
3rd row단순 반복업무의 업무자동화 확대를 통하여 업무효율성 향상
4th rowERP 시스템 각종 결재 기능을 모바일 그룹웨어에서 수행할 수 있도록 기능을 개발하여 업무 편의성 향상
5th row제주지역 재생에너지 실시간 예측입찰제도 시행(23.10)에 따른 시스템 준비
ValueCountFrequency (%)
및 36
 
5.4%
교체 18
 
2.7%
cctv 13
 
2.0%
구매 13
 
2.0%
네트워크 11
 
1.7%
노후 9
 
1.4%
통한 8
 
1.2%
개선 8
 
1.2%
관련 7
 
1.1%
설비 7
 
1.1%
Other values (296) 534
80.4%
2023-12-12T12:12:44.568620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
561
 
20.4%
보 55
 
2.0%
구 48
 
1.7%
통 43
 
1.6%
C 41
 
1.5%
비 39
 
1.4%
신 39
 
1.4%
기 38
 
1.4%
설 37
 
1.3%
및 36
 
1.3%
Other values (263) 1807
65.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1905
69.4%
Space Separator 561
 
20.4%
Uppercase Letter 182
 
6.6%
Decimal Number 36
 
1.3%
Other Punctuation 18
 
0.7%
Close Punctuation 16
 
0.6%
Open Punctuation 16
 
0.6%
Lowercase Letter 8
 
0.3%
Dash Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
보 55
 
2.9%
구 48
 
2.5%
통 43
 
2.3%
비 39
 
2.0%
신 39
 
2.0%
기 38
 
2.0%
설 37
 
1.9%
및 36
 
1.9%
매 34
 
1.8%
스 34
 
1.8%
Other values (228) 1502
78.8%
Uppercase Letter
ValueCountFrequency (%)
C 41
22.5%
V 24
13.2%
T 21
11.5%
A 15
 
8.2%
O 11
 
6.0%
S 11
 
6.0%
P 10
 
5.5%
I 9
 
4.9%
L 8
 
4.4%
D 6
 
3.3%
Other values (8) 26
14.3%
Decimal Number
ValueCountFrequency (%)
2 16
44.4%
3 10
27.8%
7 6
 
16.7%
1 2
 
5.6%
4 1
 
2.8%
0 1
 
2.8%
Lowercase Letter
ValueCountFrequency (%)
n 2
25.0%
a 2
25.0%
e 2
25.0%
l 2
25.0%
Other Punctuation
ValueCountFrequency (%)
, 13
72.2%
. 3
 
16.7%
/ 2
 
11.1%
Space Separator
ValueCountFrequency (%)
561
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1905
69.4%
Common 649
 
23.7%
Latin 190
 
6.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
보 55
 
2.9%
구 48
 
2.5%
통 43
 
2.3%
비 39
 
2.0%
신 39
 
2.0%
기 38
 
2.0%
설 37
 
1.9%
및 36
 
1.9%
매 34
 
1.8%
스 34
 
1.8%
Other values (228) 1502
78.8%
Latin
ValueCountFrequency (%)
C 41
21.6%
V 24
12.6%
T 21
11.1%
A 15
 
7.9%
O 11
 
5.8%
S 11
 
5.8%
P 10
 
5.3%
I 9
 
4.7%
L 8
 
4.2%
D 6
 
3.2%
Other values (12) 34
17.9%
Common
ValueCountFrequency (%)
561
86.4%
2 16
 
2.5%
) 16
 
2.5%
( 16
 
2.5%
, 13
 
2.0%
3 10
 
1.5%
7 6
 
0.9%
. 3
 
0.5%
- 2
 
0.3%
/ 2
 
0.3%
Other values (3) 4
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1905
69.4%
ASCII 839
30.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
561
66.9%
C 41
 
4.9%
V 24
 
2.9%
T 21
 
2.5%
2 16
 
1.9%
) 16
 
1.9%
( 16
 
1.9%
A 15
 
1.8%
, 13
 
1.5%
O 11
 
1.3%
Other values (25) 105
 
12.5%
Hangul
ValueCountFrequency (%)
보 55
 
2.9%
구 48
 
2.5%
통 43
 
2.3%
비 39
 
2.0%
신 39
 
2.0%
기 38
 
2.0%
설 37
 
1.9%
및 36
 
1.9%
매 34
 
1.8%
스 34
 
1.8%
Other values (228) 1502
78.8%

품목명
Text

MISSING 

Distinct97
Distinct (%)84.3%
Missing13
Missing (%)10.2%
Memory size1.1 KiB
2023-12-12T12:12:44.920995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length21
Mean length8.773913
Min length2

Characters and Unicode

Total characters1009
Distinct characters195
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

Unique87 ?
Unique (%)75.7%

Sample

1st rowCCTV망 보안장비 연간 라이선스 구매(패치관리시스템, 내PC지키미, V3)
2nd rowCCTV 신규설치분 라이선스 구매(관제프로그램, NAC, CCTVPM)
3rd rowCCTV망 백신 및 패치관리시스템 라이선스 연장
4th row지능형 영상분석 솔루션 구매
5th row백신프로그램
ValueCountFrequency (%)
cctv 12
 
5.5%
l2 7
 
3.2%
vdi 7
 
3.2%
라이선스 6
 
2.8%
방화벽 6
 
2.8%
및 5
 
2.3%
네트워크 5
 
2.3%
서버 5
 
2.3%
백본 4
 
1.8%
24포트 4
 
1.8%
Other values (130) 157
72.0%
2023-12-12T12:12:45.464580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
104
 
10.3%
C 50
 
5.0%
스 33
 
3.3%
V 32
 
3.2%
T 30
 
3.0%
치 22
 
2.2%
L 19
 
1.9%
위 16
 
1.6%
트 16
 
1.6%
서 15
 
1.5%
Other values (185) 672
66.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 584
57.9%
Uppercase Letter 231
 
22.9%
Space Separator 104
 
10.3%
Decimal Number 28
 
2.8%
Lowercase Letter 23
 
2.3%
Close Punctuation 14
 
1.4%
Open Punctuation 14
 
1.4%
Other Punctuation 7
 
0.7%
Dash Punctuation 4
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 33
 
5.7%
치 22
 
3.8%
위 16
 
2.7%
트 16
 
2.7%
서 15
 
2.6%
기 14
 
2.4%
관 14
 
2.4%
리 14
 
2.4%
비 14
 
2.4%
이 12
 
2.1%
Other values (143) 414
70.9%
Uppercase Letter
ValueCountFrequency (%)
C 50
21.6%
V 32
13.9%
T 30
13.0%
L 19
 
8.2%
A 14
 
6.1%
I 12
 
5.2%
P 12
 
5.2%
S 11
 
4.8%
N 9
 
3.9%
E 9
 
3.9%
Other values (8) 33
14.3%
Lowercase Letter
ValueCountFrequency (%)
o 7
30.4%
e 3
13.0%
k 2
 
8.7%
d 2
 
8.7%
c 2
 
8.7%
s 1
 
4.3%
b 1
 
4.3%
x 1
 
4.3%
a 1
 
4.3%
r 1
 
4.3%
Other values (2) 2
 
8.7%
Decimal Number
ValueCountFrequency (%)
2 14
50.0%
4 5
 
17.9%
3 4
 
14.3%
7 3
 
10.7%
1 1
 
3.6%
8 1
 
3.6%
Other Punctuation
ValueCountFrequency (%)
, 6
85.7%
/ 1
 
14.3%
Space Separator
ValueCountFrequency (%)
104
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 584
57.9%
Latin 254
25.2%
Common 171
 
16.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 33
 
5.7%
치 22
 
3.8%
위 16
 
2.7%
트 16
 
2.7%
서 15
 
2.6%
기 14
 
2.4%
관 14
 
2.4%
리 14
 
2.4%
비 14
 
2.4%
이 12
 
2.1%
Other values (143) 414
70.9%
Latin
ValueCountFrequency (%)
C 50
19.7%
V 32
12.6%
T 30
11.8%
L 19
 
7.5%
A 14
 
5.5%
I 12
 
4.7%
P 12
 
4.7%
S 11
 
4.3%
N 9
 
3.5%
E 9
 
3.5%
Other values (20) 56
22.0%
Common
ValueCountFrequency (%)
104
60.8%
) 14
 
8.2%
( 14
 
8.2%
2 14
 
8.2%
, 6
 
3.5%
4 5
 
2.9%
- 4
 
2.3%
3 4
 
2.3%
7 3
 
1.8%
/ 1
 
0.6%
Other values (2) 2
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 584
57.9%
ASCII 425
42.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
104
24.5%
C 50
11.8%
V 32
 
7.5%
T 30
 
7.1%
L 19
 
4.5%
) 14
 
3.3%
A 14
 
3.3%
( 14
 
3.3%
2 14
 
3.3%
I 12
 
2.8%
Other values (32) 122
28.7%
Hangul
ValueCountFrequency (%)
스 33
 
5.7%
치 22
 
3.8%
위 16
 
2.7%
트 16
 
2.7%
서 15
 
2.6%
기 14
 
2.4%
관 14
 
2.4%
리 14
 
2.4%
비 14
 
2.4%
이 12
 
2.1%
Other values (143) 414
70.9%

사업분류
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
115 
신규사업
13 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 115
89.8%
신규사업 13
 
10.2%

Length

2023-12-12T12:12:45.646240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:12:45.778586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 115
89.8%
신규사업 13
 
10.2%

사업유형
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
115 
소프트웨어개발
13 

Length

Max length7
Median length4
Mean length4.3046875
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 115
89.8%
소프트웨어개발 13
 
10.2%

Length

2023-12-12T12:12:46.235774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:12:46.348377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 115
89.8%
소프트웨어개발 13
 
10.2%

신사업유형
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
115 
해당없음
 
8
기타
 
5

Length

Max length4
Median length4
Mean length3.921875
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 115
89.8%
해당없음 8
 
6.2%
기타 5
 
3.9%

Length

2023-12-12T12:12:46.510108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:12:46.694450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 115
89.8%
해당없음 8
 
6.2%
기타 5
 
3.9%

정보보호사업(장비) 해당여부
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
115 
비해당
12 
해당
 
1

Length

Max length4
Median length4
Mean length3.890625
Min length2

Unique

Unique1 ?
Unique (%)0.8%

Sample

1st row해당
2nd row비해당
3rd row비해당
4th row비해당
5th row비해당

Common Values

ValueCountFrequency (%)
<NA> 115
89.8%
비해당 12
 
9.4%
해당 1
 
0.8%

Length

2023-12-12T12:12:46.852698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:12:46.985074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 115
89.8%
비해당 12
 
9.4%
해당 1
 
0.8%

정보보호사업(장비) 구분코드
Categorical

IMBALANCE 

Distinct10
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
92 
물리보안-CCTV
11 
정보보안-시스템(단말) 보안
10 
물리보안-기타 물리보안제품
 
5
정보보안-기타 정보보안제품
 
3
Other values (5)
 
7

Length

Max length15
Median length4
Mean length6.28125
Min length4

Unique

Unique3 ?
Unique (%)2.3%

Sample

1st row물리보안-기타 물리보안서비스
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 92
71.9%
물리보안-CCTV 11
 
8.6%
정보보안-시스템(단말) 보안 10
 
7.8%
물리보안-기타 물리보안제품 5
 
3.9%
정보보안-기타 정보보안제품 3
 
2.3%
정보보안-보안관리 2
 
1.6%
물리보안-접근제어 2
 
1.6%
물리보안-기타 물리보안서비스 1
 
0.8%
정보보안-네트워크 보안 1
 
0.8%
물리보안-알람 모니터링 1
 
0.8%

Length

2023-12-12T12:12:47.122628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:12:47.289804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 92
61.7%
물리보안-cctv 11
 
7.4%
보안 11
 
7.4%
정보보안-시스템(단말 10
 
6.7%
물리보안-기타 6
 
4.0%
물리보안제품 5
 
3.4%
정보보안-기타 3
 
2.0%
정보보안제품 3
 
2.0%
정보보안-보안관리 2
 
1.3%
물리보안-접근제어 2
 
1.3%
Other values (4) 4
 
2.7%

컴퓨팅장비 구분코드
Categorical

IMBALANCE 

Distinct6
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
101 
기타 컴퓨팅-기타
 
10
서버-X86
 
7
기타 컴퓨팅-기반시설
 
5
기타 컴퓨팅-PC (사무용)
 
3

Length

Max length15
Median length4
Mean length5.109375
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 101
78.9%
기타 컴퓨팅-기타 10
 
7.8%
서버-X86 7
 
5.5%
기타 컴퓨팅-기반시설 5
 
3.9%
기타 컴퓨팅-PC (사무용) 3
 
2.3%
스토리지-스토리지 2
 
1.6%

Length

2023-12-12T12:12:47.461966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:12:47.588638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 101
67.8%
기타 18
 
12.1%
컴퓨팅-기타 10
 
6.7%
서버-x86 7
 
4.7%
컴퓨팅-기반시설 5
 
3.4%
컴퓨팅-pc 3
 
2.0%
사무용 3
 
2.0%
스토리지-스토리지 2
 
1.3%

네트워크장비 구분코드
Categorical

IMBALANCE 

Distinct8
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
96 
스위치-L2
11 
기타 네트워크-기타
 
6
스위치-L4-7
 
5
네트워크 보안장비-네트워크 보안장비
 
4
Other values (3)
 
6

Length

Max length19
Median length4
Mean length5.265625
Min length4

Unique

Unique1 ?
Unique (%)0.8%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 96
75.0%
스위치-L2 11
 
8.6%
기타 네트워크-기타 6
 
4.7%
스위치-L4-7 5
 
3.9%
네트워크 보안장비-네트워크 보안장비 4
 
3.1%
스위치-L3 3
 
2.3%
전송장비-전송장비 2
 
1.6%
무선장비-WiFi 장비 1
 
0.8%

Length

2023-12-12T12:12:47.725070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:12:47.883013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 96
67.1%
스위치-l2 11
 
7.7%
기타 6
 
4.2%
네트워크-기타 6
 
4.2%
스위치-l4-7 5
 
3.5%
네트워크 4
 
2.8%
보안장비-네트워크 4
 
2.8%
보안장비 4
 
2.8%
스위치-l3 3
 
2.1%
전송장비-전송장비 2
 
1.4%
Other values (2) 2
 
1.4%

방송장비 구분코드
Text

MISSING 

Distinct8
Distinct (%)80.0%
Missing118
Missing (%)92.2%
Memory size1.1 KiB
2023-12-12T12:12:48.091505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length13
Mean length9.9
Min length7

Characters and Unicode

Total characters99
Distinct characters36
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)70.0%

Sample

1st row영상장비-방송 플랫폼
2nd row음향장비-비상전관방송(PA)
3rd row영상장비-기타
4th row영상장비-송출/수신장치
5th row영상장비-빔프로젝트
ValueCountFrequency (%)
영상장비-기타 3
25.0%
영상장비-방송 1
 
8.3%
플랫폼 1
 
8.3%
음향장비-비상전관방송(pa 1
 
8.3%
영상장비-송출/수신장치 1
 
8.3%
영상장비-빔프로젝트 1
 
8.3%
음향장비-방송용 1
 
8.3%
음향장비 1
 
8.3%
영상장비-촬영카메라 1
 
8.3%
음향장비-기타 1
 
8.3%
2023-12-12T12:12:48.452389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 12
12.1%
비 12
12.1%
- 10
 
10.1%
영 8
 
8.1%
상 8
 
8.1%
기 4
 
4.0%
타 4
 
4.0%
송 4
 
4.0%
음 4
 
4.0%
향 4
 
4.0%
Other values (26) 29
29.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 82
82.8%
Dash Punctuation 10
 
10.1%
Space Separator 2
 
2.0%
Uppercase Letter 2
 
2.0%
Other Punctuation 1
 
1.0%
Close Punctuation 1
 
1.0%
Open Punctuation 1
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 12
14.6%
비 12
14.6%
영 8
9.8%
상 8
9.8%
기 4
 
4.9%
타 4
 
4.9%
송 4
 
4.9%
음 4
 
4.9%
향 4
 
4.9%
방 3
 
3.7%
Other values (19) 19
23.2%
Uppercase Letter
ValueCountFrequency (%)
P 1
50.0%
A 1
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 82
82.8%
Common 15
 
15.2%
Latin 2
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 12
14.6%
비 12
14.6%
영 8
9.8%
상 8
9.8%
기 4
 
4.9%
타 4
 
4.9%
송 4
 
4.9%
음 4
 
4.9%
향 4
 
4.9%
방 3
 
3.7%
Other values (19) 19
23.2%
Common
ValueCountFrequency (%)
- 10
66.7%
2
 
13.3%
/ 1
 
6.7%
) 1
 
6.7%
( 1
 
6.7%
Latin
ValueCountFrequency (%)
P 1
50.0%
A 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 82
82.8%
ASCII 17
 
17.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 12
14.6%
비 12
14.6%
영 8
9.8%
상 8
9.8%
기 4
 
4.9%
타 4
 
4.9%
송 4
 
4.9%
음 4
 
4.9%
향 4
 
4.9%
방 3
 
3.7%
Other values (19) 19
23.2%
ASCII
ValueCountFrequency (%)
- 10
58.8%
2
 
11.8%
P 1
 
5.9%
/ 1
 
5.9%
) 1
 
5.9%
A 1
 
5.9%
( 1
 
5.9%

구분코드
Categorical

IMBALANCE 

Distinct6
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
106 
보안 SW
 
7
개인 및 사무용 SW
 
6
시스템관리 및 스토리지SW
 
6
기타 시스템 SW
 
2

Length

Max length14
Median length4
Mean length4.9453125
Min length4

Unique

Unique1 ?
Unique (%)0.8%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 106
82.8%
보안 SW 7
 
5.5%
개인 및 사무용 SW 6
 
4.7%
시스템관리 및 스토리지SW 6
 
4.7%
기타 시스템 SW 2
 
1.6%
운영체계SW 1
 
0.8%

Length

2023-12-12T12:12:48.615740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:12:48.739056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 106
62.7%
sw 15
 
8.9%
및 12
 
7.1%
보안 7
 
4.1%
개인 6
 
3.6%
사무용 6
 
3.6%
시스템관리 6
 
3.6%
스토리지sw 6
 
3.6%
기타 2
 
1.2%
시스템 2
 
1.2%

발주시기
Categorical

Distinct8
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2분기
59 
3분기
29 
1분기
22 
4분기
14 
1,2,4분기
 
1
Other values (3)
 
3

Length

Max length7
Median length3
Mean length3.09375
Min length3

Unique

Unique4 ?
Unique (%)3.1%

Sample

1st row2분기
2nd row3분기
3rd row3분기
4th row3분기
5th row2분기

Common Values

ValueCountFrequency (%)
2분기 59
46.1%
3분기 29
22.7%
1분기 22
 
17.2%
4분기 14
 
10.9%
1,2,4분기 1
 
0.8%
1,2분기 1
 
0.8%
2,3분기 1
 
0.8%
1,2,3분기 1
 
0.8%

Length

2023-12-12T12:12:48.897897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:12:49.059520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2분기 59
46.1%
3분기 29
22.7%
1분기 22
 
17.2%
4분기 14
 
10.9%
1,2,4분기 1
 
0.8%
1,2분기 1
 
0.8%
2,3분기 1
 
0.8%
1,2,3분기 1
 
0.8%

발주여부
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
미발주
105 
<NA>
22 
발주
 
1

Length

Max length4
Median length3
Mean length3.1640625
Min length2

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
미발주 105
82.0%
<NA> 22
 
17.2%
발주 1
 
0.8%

Length

2023-12-12T12:12:49.226817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:12:49.343467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미발주 105
82.0%
na 22
 
17.2%
발주 1
 
0.8%

발주처구분
Categorical

Distinct3
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
(기관)자체발주
71 
(조달청)위탁발주
35 
<NA>
22 

Length

Max length9
Median length8
Mean length7.5859375
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row(기관)자체발주
2nd row(기관)자체발주
3rd row(기관)자체발주
4th row(기관)자체발주
5th row(기관)자체발주

Common Values

ValueCountFrequency (%)
(기관)자체발주 71
55.5%
(조달청)위탁발주 35
27.3%
<NA> 22
 
17.2%

Length

2023-12-12T12:12:49.464533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:12:49.569898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기관)자체발주 71
55.5%
조달청)위탁발주 35
27.3%
na 22
 
17.2%

구매처구분
Categorical

Distinct3
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
106 
(기관)자체 구매
12 
(조달청)나라장터
 
10

Length

Max length9
Median length4
Mean length4.859375
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 106
82.8%
(기관)자체 구매 12
 
9.4%
(조달청)나라장터 10
 
7.8%

Length

2023-12-12T12:12:49.714485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:12:49.837003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 106
75.7%
기관)자체 12
 
8.6%
구매 12
 
8.6%
조달청)나라장터 10
 
7.1%

사업기간시작월
Date

MISSING 

Distinct9
Distinct (%)8.5%
Missing22
Missing (%)17.2%
Memory size1.1 KiB
Minimum2023-01-01 00:00:00
Maximum2023-10-01 00:00:00
2023-12-12T12:12:49.947115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:12:50.074466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)

사업기간종료월
Date

MISSING 

Distinct10
Distinct (%)9.4%
Missing22
Missing (%)17.2%
Memory size1.1 KiB
Minimum2023-03-01 00:00:00
Maximum2023-12-01 00:00:00
2023-12-12T12:12:50.213404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:12:50.365391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)

사업예산(원)
Real number (ℝ)

MISSING 

Distinct53
Distinct (%)50.0%
Missing22
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean3.3497515 × 108
Minimum2500000
Maximum1.35 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-12T12:12:50.779012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2500000
5-th percentile29000000
Q191000000
median2.12 × 108
Q34.64 × 108
95-th percentile8.75 × 108
Maximum1.35 × 109
Range1.3475 × 109
Interquartile range (IQR)3.73 × 108

Descriptive statistics

Standard deviation3.3841705 × 108
Coefficient of variation (CV)1.0102751
Kurtosis1.8405226
Mean3.3497515 × 108
Median Absolute Deviation (MAD)1.51 × 108
Skewness1.5074355
Sum3.5507366 × 1010
Variance1.145261 × 1017
MonotonicityNot monotonic
2023-12-12T12:12:50.999720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
360000000 6
 
4.7%
867500000 6
 
4.7%
464000000 6
 
4.7%
29000000 5
 
3.9%
1350000000 5
 
3.9%
875000000 4
 
3.1%
61000000 4
 
3.1%
91000000 4
 
3.1%
575224000 4
 
3.1%
250000000 3
 
2.3%
Other values (43) 59
46.1%
(Missing) 22
 
17.2%
ValueCountFrequency (%)
2500000 1
 
0.8%
6000000 1
 
0.8%
14000000 1
 
0.8%
15000000 1
 
0.8%
20000000 1
 
0.8%
29000000 5
3.9%
30000000 2
 
1.6%
40000000 1
 
0.8%
46500000 1
 
0.8%
48000000 1
 
0.8%
ValueCountFrequency (%)
1350000000 5
3.9%
875000000 4
3.1%
867500000 6
4.7%
661000000 1
 
0.8%
620000000 1
 
0.8%
575224000 4
3.1%
510000000 1
 
0.8%
500000000 2
 
1.6%
464000000 6
4.7%
450000000 1
 
0.8%

구매예산(원)
Real number (ℝ)

MISSING 

Distinct76
Distinct (%)66.1%
Missing13
Missing (%)10.2%
Infinite0
Infinite (%)0.0%
Mean1.033901 × 108
Minimum1000000
Maximum1.02 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-12T12:12:51.200614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1000000
5-th percentile5000000
Q125000000
median50000000
Q31.5 × 108
95-th percentile3.512 × 108
Maximum1.02 × 109
Range1.019 × 109
Interquartile range (IQR)1.25 × 108

Descriptive statistics

Standard deviation1.3964836 × 108
Coefficient of variation (CV)1.3506938
Kurtosis17.008549
Mean1.033901 × 108
Median Absolute Deviation (MAD)36000000
Skewness3.4320451
Sum1.1889861 × 1010
Variance1.9501663 × 1016
MonotonicityNot monotonic
2023-12-12T12:12:51.407480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30000000 8
 
6.2%
50000000 7
 
5.5%
60000000 4
 
3.1%
160000000 3
 
2.3%
200000000 3
 
2.3%
20000000 3
 
2.3%
15000000 3
 
2.3%
5000000 3
 
2.3%
33000000 2
 
1.6%
7500000 2
 
1.6%
Other values (66) 77
60.2%
(Missing) 13
 
10.2%
ValueCountFrequency (%)
1000000 1
 
0.8%
2500000 1
 
0.8%
3500000 1
 
0.8%
4000000 1
 
0.8%
5000000 3
2.3%
5500000 1
 
0.8%
6000000 1
 
0.8%
7500000 2
1.6%
9600000 1
 
0.8%
10000000 2
1.6%
ValueCountFrequency (%)
1020000000 1
0.8%
608000000 1
0.8%
500000000 1
0.8%
414000000 1
0.8%
368235000 1
0.8%
354000000 1
0.8%
350000000 1
0.8%
300000000 1
0.8%
292000000 1
0.8%
280000000 1
0.8%

구매수량
Real number (ℝ)

MISSING 

Distinct26
Distinct (%)28.0%
Missing35
Missing (%)27.3%
Infinite0
Infinite (%)0.0%
Mean25.752688
Minimum1
Maximum850
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-12T12:12:51.577640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q313
95-th percentile100
Maximum850
Range849
Interquartile range (IQR)12

Descriptive statistics

Standard deviation94.82692
Coefficient of variation (CV)3.6822144
Kurtosis63.97993
Mean25.752688
Median Absolute Deviation (MAD)2
Skewness7.5906758
Sum2395
Variance8992.1447
MonotonicityNot monotonic
2023-12-12T12:12:51.719934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
1 31
24.2%
2 14
 
10.9%
3 7
 
5.5%
5 6
 
4.7%
50 3
 
2.3%
20 3
 
2.3%
8 3
 
2.3%
60 2
 
1.6%
40 2
 
1.6%
13 2
 
1.6%
Other values (16) 20
15.6%
(Missing) 35
27.3%
ValueCountFrequency (%)
1 31
24.2%
2 14
10.9%
3 7
 
5.5%
4 1
 
0.8%
5 6
 
4.7%
6 2
 
1.6%
7 1
 
0.8%
8 3
 
2.3%
10 2
 
1.6%
11 1
 
0.8%
ValueCountFrequency (%)
850 1
 
0.8%
300 1
 
0.8%
130 1
 
0.8%
120 1
 
0.8%
100 2
1.6%
60 2
1.6%
50 3
2.3%
43 1
 
0.8%
40 2
1.6%
32 1
 
0.8%

리스여부
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
해당아님
93 
<NA>
35 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
해당아님 93
72.7%
<NA> 35
 
27.3%

Length

2023-12-12T12:12:51.874420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:12:52.004980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해당아님 93
72.7%
na 35
 
27.3%

상용소프트웨어분리발주추진여부
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
119 
통합발주추진
 
8
분리발주추진
 
1

Length

Max length6
Median length4
Mean length4.140625
Min length4

Unique

Unique1 ?
Unique (%)0.8%

Sample

1st row분리발주추진
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 119
93.0%
통합발주추진 8
 
6.2%
분리발주추진 1
 
0.8%

Length

2023-12-12T12:12:52.165878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:12:52.324794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 119
93.0%
통합발주추진 8
 
6.2%
분리발주추진 1
 
0.8%

상용소프트웨어분리발주추진예산(원)
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
127 
250000000
 
1

Length

Max length9
Median length4
Mean length4.0390625
Min length4

Unique

Unique1 ?
Unique (%)0.8%

Sample

1st row250000000
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 127
99.2%
250000000 1
 
0.8%

Length

2023-12-12T12:12:52.483443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:12:52.616117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 127
99.2%
250000000 1
 
0.8%

하드웨어장비도입여부
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
115 
미도입
12 
도입
 
1

Length

Max length4
Median length4
Mean length3.890625
Min length2

Unique

Unique1 ?
Unique (%)0.8%

Sample

1st row도입
2nd row미도입
3rd row미도입
4th row미도입
5th row미도입

Common Values

ValueCountFrequency (%)
<NA> 115
89.8%
미도입 12
 
9.4%
도입 1
 
0.8%

Length

2023-12-12T12:12:52.766263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:12:52.915941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 115
89.8%
미도입 12
 
9.4%
도입 1
 
0.8%

하드웨어장비도입예산(원)
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
127 
370000000
 
1

Length

Max length9
Median length4
Mean length4.0390625
Min length4

Unique

Unique1 ?
Unique (%)0.8%

Sample

1st row370000000
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 127
99.2%
370000000 1
 
0.8%

Length

2023-12-12T12:12:53.082100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:12:53.225187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 127
99.2%
370000000 1
 
0.8%

상용소프트웨어도입여부
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
115 
미도입
12 
도입
 
1

Length

Max length4
Median length4
Mean length3.890625
Min length2

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 115
89.8%
미도입 12
 
9.4%
도입 1
 
0.8%

Length

2023-12-12T12:12:53.392063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:12:53.550170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 115
89.8%
미도입 12
 
9.4%
도입 1
 
0.8%

상용소프트웨어도입예산(원)
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
127 
56430000
 
1

Length

Max length8
Median length4
Mean length4.03125
Min length4

Unique

Unique1 ?
Unique (%)0.8%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 127
99.2%
56430000 1
 
0.8%

Length

2023-12-12T12:12:53.703450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:12:53.833947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 127
99.2%
56430000 1
 
0.8%

재원
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
자체예산
128 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
자체예산 128
100.0%

Length

2023-12-12T12:12:53.963927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:12:54.074094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
자체예산 128
100.0%

Sample

조사년도조사구분예산구분사업소부서사업명사업개요품목명사업분류사업유형신사업유형정보보호사업(장비) 해당여부정보보호사업(장비) 구분코드컴퓨팅장비 구분코드네트워크장비 구분코드방송장비 구분코드구분코드발주시기발주여부발주처구분구매처구분사업기간시작월사업기간종료월사업예산(원)구매예산(원)구매수량리스여부상용소프트웨어분리발주추진여부상용소프트웨어분리발주추진예산(원)하드웨어장비도입여부하드웨어장비도입예산(원)상용소프트웨어도입여부상용소프트웨어도입예산(원)재원
02023예정SW구축사업계획예산정보보안처비상계획팀항만시설 출입관리시스템 구축항만시설 출입관리 보안 강화<NA>신규사업소프트웨어개발기타해당물리보안-기타 물리보안서비스<NA><NA><NA><NA>2분기미발주(기관)자체발주<NA>2023-042023-12620000000<NA><NA><NA>분리발주추진250000000도입370000000미도입<NA>자체예산
12023예정SW구축사업계획예산정보보안처ICT기획부비즈니스 파트너 등록 및 선금지급 시스템 구축ERP 시스템 구매처 등록, 선금신청시 담당자 업무처리 절차를 개선하여 협력기업에서 직접 입력할 수 있도록 서비스 제공<NA>신규사업소프트웨어개발기타비해당<NA><NA><NA><NA><NA>3분기미발주(기관)자체발주<NA>2023-072023-12397000000<NA><NA><NA><NA><NA>미도입<NA>미도입<NA>자체예산
22023예정SW구축사업계획예산정보보안처ICT기획부RPA 업무 자동화 확대 적용단순 반복업무의 업무자동화 확대를 통하여 업무효율성 향상<NA>신규사업소프트웨어개발기타비해당<NA><NA><NA><NA><NA>3분기미발주(기관)자체발주<NA>2023-072023-12206000000<NA><NA><NA><NA><NA>미도입<NA>미도입<NA>자체예산
32023예정SW구축사업계획예산정보보안처ICT기획부모바일 결재서비스 고도화ERP 시스템 각종 결재 기능을 모바일 그룹웨어에서 수행할 수 있도록 기능을 개발하여 업무 편의성 향상<NA>신규사업소프트웨어개발기타비해당<NA><NA><NA><NA><NA>3분기미발주(기관)자체발주<NA>2023-072023-12661000000<NA><NA><NA><NA><NA>미도입<NA>미도입<NA>자체예산
42023예정SW구축사업계획예산정보보안처ICT기획부VPP 실시간 예측입찰시스템 구축제주지역 재생에너지 실시간 예측입찰제도 시행(23.10)에 따른 시스템 준비<NA>신규사업소프트웨어개발기타비해당<NA><NA><NA><NA><NA>2분기미발주(기관)자체발주<NA>2023-062023-12390000000<NA><NA><NA><NA><NA>미도입<NA>미도입<NA>자체예산
52023예정SW구축사업계획예산정보보안처정보통신부신규 재난관리 상황전파 시스템상황전파용 문자발송시스템의 사용자 편의성 보완 및 문자발송 시간 단축을 위한 기능 개선<NA>신규사업소프트웨어개발해당없음비해당<NA><NA><NA><NA><NA>1분기미발주(기관)자체발주<NA>2023-012023-06259000000<NA><NA><NA>통합발주추진<NA>미도입<NA>미도입<NA>자체예산
62023예정SW구축사업계획예산정보보안처정보통신부도면관리시스템 연계기능 개발도면관리시스템과 환경관리, 안전분야 시스템간 연계를 통한 최신 도면파일 유지로 설비변경 미반영 도면 사용에 따른 사고방지<NA>신규사업소프트웨어개발해당없음비해당<NA><NA><NA><NA><NA>2분기미발주(기관)자체발주<NA>2023-062023-12173000000<NA><NA><NA>통합발주추진<NA>미도입<NA>미도입<NA>자체예산
72023예정SW구축사업계획예산정보보안처정보통신부환경오염물질 배출정보 통합관리시스템 개선신규 환경관련 관리항목추가 및 사용자 관리, 편의성 향상을 위해 유연한 시스템 적용이 가능 하도록 개선<NA>신규사업소프트웨어개발해당없음비해당<NA><NA><NA><NA><NA>2분기미발주(기관)자체발주<NA>2023-042023-11166000000<NA><NA><NA>통합발주추진<NA>미도입<NA>도입56430000자체예산
82023예정SW구축사업계획예산정보보안처정보통신부통합건강관리시스템 고도화통합건강관리시템 개발언어 변경, 보건관리자 요구사항 반영 추진<NA>신규사업소프트웨어개발해당없음비해당<NA><NA><NA><NA><NA>2분기미발주(기관)자체발주<NA>2023-062023-09209000000<NA><NA><NA>통합발주추진<NA>미도입<NA>미도입<NA>자체예산
92023예정SW구축사업계획예산정보보안처정보통신부성과관리시스템 고도화시스템 관리자 편의성 향상, 개발프레임워크 정부지침 준수, 평가체계변경 탄력적 대응<NA>신규사업소프트웨어개발해당없음비해당<NA><NA><NA><NA><NA>1분기미발주(기관)자체발주<NA>2023-032023-08239000000<NA><NA><NA>통합발주추진<NA>미도입<NA>미도입<NA>자체예산
조사년도조사구분예산구분사업소부서사업명사업개요품목명사업분류사업유형신사업유형정보보호사업(장비) 해당여부정보보호사업(장비) 구분코드컴퓨팅장비 구분코드네트워크장비 구분코드방송장비 구분코드구분코드발주시기발주여부발주처구분구매처구분사업기간시작월사업기간종료월사업예산(원)구매예산(원)구매수량리스여부상용소프트웨어분리발주추진여부상용소프트웨어분리발주추진예산(원)하드웨어장비도입여부하드웨어장비도입예산(원)상용소프트웨어도입여부상용소프트웨어도입예산(원)재원
1182023예정ICT장비구축 HW구매계획예산정보보안처정보통신부23년 OA기기 구매23년 OA기기 구매(기타 OA기기)기타 OA기기<NA><NA><NA><NA><NA>기타 컴퓨팅-기타<NA><NA><NA>2분기미발주(기관)자체발주<NA>2023-032023-061350000000250000003해당아님<NA><NA><NA><NA><NA><NA>자체예산
1192023예정ICT장비구축 HW구매계획예산정보보안처정보통신부복합기 서버 교체복합기 서버 교체복합기 서버<NA><NA><NA><NA><NA>서버-X86<NA><NA><NA>2분기미발주(기관)자체발주<NA>2023-032023-061500000001500000002해당아님<NA><NA><NA><NA><NA><NA>자체예산
1202023예정ICT장비구축 HW구매계획예산정보보안처정보통신부노후 CCTV 교체노후 CCTV 교체CCTV<NA><NA><NA><NA>물리보안-CCTV<NA><NA><NA><NA>4분기미발주(기관)자체발주<NA>2023-102023-12354000000354000000130해당아님<NA><NA><NA><NA><NA><NA>자체예산
1212023예정ICT장비구축 HW구매계획예산정보보안처정보통신부업무관리시스템 인프라 구축업무관리시스템 검색/분류추천 서버 구축업무관리시스템 인프라 구축<NA><NA><NA><NA><NA>서버-X86<NA><NA><NA>4분기미발주(기관)자체발주<NA>2023-092023-1286000000860000008해당아님<NA><NA><NA><NA><NA><NA>자체예산
1222023예정ICT장비구축 HW구매계획예산정보보안처정보통신부VDI 증설사업VDI 서버 증설 및 라이선스 구매VDI 증설용 서버<NA><NA><NA><NA><NA>서버-X86<NA><NA><NA>3분기미발주(기관)자체발주<NA>2023-042023-092700000002100000003해당아님<NA><NA><NA><NA><NA><NA>자체예산
1232023예정ICT장비구축 HW구매계획예산정보보안처정보통신부VDI 증설사업VDI 서버 증설 및 라이선스 구매VDI 스토리지<NA><NA><NA><NA><NA>스토리지-스토리지<NA><NA><NA>3분기미발주(기관)자체발주<NA>2023-042023-09270000000600000001해당아님<NA><NA><NA><NA><NA><NA>자체예산
1242023예정ICT장비구축 HW구매계획예산정보보안처정보통신부전자결재 서버 구축사업전자결재 서버 구축블레이드 서버<NA><NA><NA><NA><NA>서버-X86<NA><NA><NA>1분기미발주(기관)자체발주<NA>2023-012023-12860000002000000003해당아님<NA><NA><NA><NA><NA><NA>자체예산
1252023예정ICT장비구축 HW구매계획예산정보보안처정보통신부전자결재 서버 구축사업전자결재 서버 구축검색/분류서버<NA><NA><NA><NA><NA>서버-X86<NA><NA><NA>1분기미발주(기관)자체발주<NA>2023-012023-1286000000860000008해당아님<NA><NA><NA><NA><NA><NA>자체예산
1262023예정ICT장비구축 HW구매계획예산정보보안처정보통신부네트워크 고도화 사업노후화 L7스위치, L2스위치 구매L7스위치<NA><NA><NA><NA><NA><NA>스위치-L4-7<NA><NA>2분기미발주(기관)자체발주<NA>2023-032023-092850000002800000005해당아님<NA><NA><NA><NA><NA><NA>자체예산
1272023예정ICT장비구축 HW구매계획예산정보보안처정보통신부네트워크 고도화 사업노후화 L7스위치, L2스위치 구매L2스위치<NA><NA><NA><NA><NA><NA>스위치-L2<NA><NA>2분기미발주(기관)자체발주<NA>2023-032023-0928500000050000005해당아님<NA><NA><NA><NA><NA><NA>자체예산