Overview

Dataset statistics

Number of variables11
Number of observations46
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.2 KiB
Average record size in memory93.9 B

Variable types

Categorical4
Text3
DateTime1
Numeric3

Dataset

Description한국동서발전 신재생에너지 관련부서에서 발주한 계약현황 정보입니다.계약명, 계약일자, 공급가액, 계약금액 등의 항목을 제공합니다.
URLhttps://www.data.go.kr/data/15117997/fileData.do

Alerts

계약담당사업소 is highly overall correlated with 발주부서High correlation
발주부서 is highly overall correlated with 계약담당사업소High correlation
공급가액(원) is highly overall correlated with 부가세(원) and 1 other fieldsHigh correlation
부가세(원) is highly overall correlated with 공급가액(원) and 1 other fieldsHigh correlation
계약금액(원) is highly overall correlated with 공급가액(원) and 1 other fieldsHigh correlation
계약명 has unique valuesUnique
공급가액(원) has unique valuesUnique
부가세(원) has unique valuesUnique
계약금액(원) has unique valuesUnique
부가세(원) has 1 (2.2%) zerosZeros

Reproduction

Analysis started2023-12-12 21:08:49.511219
Analysis finished2023-12-12 21:08:51.412709
Duration1.9 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

Distinct3
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size500.0 B
구매
21 
용역
19 
공사
6 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
구매 21
45.7%
용역 19
41.3%
공사 6
 
13.0%

Length

2023-12-13T06:08:51.472501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:08:51.562909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
구매 21
45.7%
용역 19
41.3%
공사 6
 
13.0%

발주부서
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)26.1%
Missing0
Missing (%)0.0%
Memory size500.0 B
에너지전환처 에너지신사업부
14 
신호남건설추진본부 미래사업부
8 
재생에너지처 재생에너지건설운영부
6 
에너지전환처 신사업운영센터
4 
울산발전본부 미래사업팀
3 
Other values (7)
11 

Length

Max length17
Median length16
Mean length14.021739
Min length9

Unique

Unique3 ?
Unique (%)6.5%

Sample

1st row에너지전환처 에너지신사업부
2nd row에너지전환처 에너지신사업부
3rd row에너지전환처 신사업운영센터
4th row에너지전환처 에너지신사업부
5th row에너지전환처 신사업운영센터

Common Values

ValueCountFrequency (%)
에너지전환처 에너지신사업부 14
30.4%
신호남건설추진본부 미래사업부 8
17.4%
재생에너지처 재생에너지건설운영부 6
13.0%
에너지전환처 신사업운영센터 4
 
8.7%
울산발전본부 미래사업팀 3
 
6.5%
당진발전본부 미래사업부 2
 
4.3%
동해발전본부 운영처 미래사업부 2
 
4.3%
신재생개발권역센터 2
 
4.3%
에너지전환처 전원개발부 2
 
4.3%
재생에너지처 태양광사업부 1
 
2.2%
Other values (2) 2
 
4.3%

Length

2023-12-13T06:08:51.705227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
에너지전환처 20
21.7%
에너지신사업부 14
15.2%
미래사업부 12
13.0%
재생에너지처 9
9.8%
신호남건설추진본부 8
 
8.7%
재생에너지건설운영부 6
 
6.5%
신사업운영센터 4
 
4.3%
미래사업팀 3
 
3.3%
울산발전본부 3
 
3.3%
당진발전본부 2
 
2.2%
Other values (7) 11
12.0%

계약명
Text

UNIQUE 

Distinct46
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size500.0 B
2023-12-13T06:08:51.980335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length39
Mean length30.76087
Min length15

Characters and Unicode

Total characters1415
Distinct characters197
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique46 ?
Unique (%)100.0%

Sample

1st row산업단지 지붕태양광 3단계 발전설비 설치조건부 구매
2nd row유찰수의공고_산업용 ESS(163㎿h급) 설치조건부 구매
3rd row다기능 공기(미세입자 및 연기) 흡입형 감지기 구매
4th row캠퍼스 에너지 효율화 시스템 설치조건부 구매
5th row전력거래소용 전력계량장비 설치조건부 구매 연간단가계약(추정물량 : 450 SET)
ValueCountFrequency (%)
구매 19
 
6.9%
발전설비 14
 
5.1%
설치조건부 13
 
4.7%
지붕태양광 11
 
4.0%
용역 9
 
3.2%
용역(협상에 7
 
2.5%
의한 7
 
2.5%
계약 7
 
2.5%
산업단지 6
 
2.2%
lg전자 4
 
1.4%
Other values (124) 180
65.0%
2023-12-13T06:08:52.432134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
231
 
16.3%
설 47
 
3.3%
전 44
 
3.1%
지 33
 
2.3%
발 27
 
1.9%
사 25
 
1.8%
부 24
 
1.7%
구 23
 
1.6%
건 23
 
1.6%
비 23
 
1.6%
Other values (187) 915
64.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1042
73.6%
Space Separator 231
 
16.3%
Uppercase Letter 37
 
2.6%
Open Punctuation 26
 
1.8%
Close Punctuation 26
 
1.8%
Decimal Number 25
 
1.8%
Lowercase Letter 13
 
0.9%
Other Punctuation 7
 
0.5%
Connector Punctuation 5
 
0.4%
Other Symbol 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
설 47
 
4.5%
전 44
 
4.2%
지 33
 
3.2%
발 27
 
2.6%
사 25
 
2.4%
부 24
 
2.3%
구 23
 
2.2%
건 23
 
2.2%
비 23
 
2.2%
용 22
 
2.1%
Other values (151) 751
72.1%
Uppercase Letter
ValueCountFrequency (%)
S 15
40.5%
E 7
18.9%
G 4
 
10.8%
L 4
 
10.8%
W 2
 
5.4%
M 2
 
5.4%
P 1
 
2.7%
A 1
 
2.7%
T 1
 
2.7%
Decimal Number
ValueCountFrequency (%)
2 6
24.0%
3 6
24.0%
1 3
12.0%
0 3
12.0%
4 2
 
8.0%
5 2
 
8.0%
6 2
 
8.0%
8 1
 
4.0%
Lowercase Letter
ValueCountFrequency (%)
r 3
23.1%
t 2
15.4%
o 2
15.4%
h 2
15.4%
c 2
15.4%
m 1
 
7.7%
e 1
 
7.7%
Open Punctuation
ValueCountFrequency (%)
( 17
65.4%
[ 8
30.8%
『 1
 
3.8%
Close Punctuation
ValueCountFrequency (%)
) 17
65.4%
] 8
30.8%
』 1
 
3.8%
Other Punctuation
ValueCountFrequency (%)
· 6
85.7%
: 1
 
14.3%
Other Symbol
ValueCountFrequency (%)
㈜ 2
66.7%
㎿ 1
33.3%
Space Separator
ValueCountFrequency (%)
231
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1043
73.7%
Common 321
 
22.7%
Latin 50
 
3.5%
Han 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
설 47
 
4.5%
전 44
 
4.2%
지 33
 
3.2%
발 27
 
2.6%
사 25
 
2.4%
부 24
 
2.3%
구 23
 
2.2%
건 23
 
2.2%
비 23
 
2.2%
용 22
 
2.1%
Other values (151) 752
72.1%
Common
ValueCountFrequency (%)
231
72.0%
( 17
 
5.3%
) 17
 
5.3%
] 8
 
2.5%
[ 8
 
2.5%
· 6
 
1.9%
2 6
 
1.9%
3 6
 
1.9%
_ 5
 
1.6%
1 3
 
0.9%
Other values (9) 14
 
4.4%
Latin
ValueCountFrequency (%)
S 15
30.0%
E 7
14.0%
G 4
 
8.0%
L 4
 
8.0%
r 3
 
6.0%
t 2
 
4.0%
o 2
 
4.0%
W 2
 
4.0%
M 2
 
4.0%
h 2
 
4.0%
Other values (6) 7
14.0%
Han
ValueCountFrequency (%)
軍 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1041
73.6%
ASCII 362
 
25.6%
None 10
 
0.7%
CJK 1
 
0.1%
CJK Compat 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
231
63.8%
( 17
 
4.7%
) 17
 
4.7%
S 15
 
4.1%
] 8
 
2.2%
[ 8
 
2.2%
E 7
 
1.9%
2 6
 
1.7%
3 6
 
1.7%
_ 5
 
1.4%
Other values (21) 42
 
11.6%
Hangul
ValueCountFrequency (%)
설 47
 
4.5%
전 44
 
4.2%
지 33
 
3.2%
발 27
 
2.6%
사 25
 
2.4%
부 24
 
2.3%
구 23
 
2.2%
건 23
 
2.2%
비 23
 
2.2%
용 22
 
2.1%
Other values (150) 750
72.0%
None
ValueCountFrequency (%)
· 6
60.0%
㈜ 2
 
20.0%
『 1
 
10.0%
』 1
 
10.0%
CJK
ValueCountFrequency (%)
軍 1
100.0%
CJK Compat
ValueCountFrequency (%)
㎿ 1
100.0%

계약일자
Date

Distinct43
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Memory size500.0 B
Minimum2022-02-16 00:00:00
Maximum2022-12-20 00:00:00
2023-12-13T06:08:52.589680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:08:52.742022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)

공급가액(원)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct46
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.8769367 × 109
Minimum23000000
Maximum1.52 × 1011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-13T06:08:52.893366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum23000000
5-th percentile25628157
Q147411590
median1.6036791 × 108
Q36.1389374 × 108
95-th percentile3.3756087 × 1010
Maximum1.52 × 1011
Range1.51977 × 1011
Interquartile range (IQR)5.6648215 × 108

Descriptive statistics

Standard deviation2.3902746 × 1010
Coefficient of variation (CV)4.0672118
Kurtosis32.638067
Mean5.8769367 × 109
Median Absolute Deviation (MAD)1.205861 × 108
Skewness5.5043245
Sum2.7033909 × 1011
Variance5.7134127 × 1020
MonotonicityNot monotonic
2023-12-13T06:08:53.041174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
3590000000 1
 
2.2%
28000000 1
 
2.2%
136890909 1
 
2.2%
153578627 1
 
2.2%
186523346 1
 
2.2%
56909091 1
 
2.2%
150306658 1
 
2.2%
311636364 1
 
2.2%
24920000 1
 
2.2%
24536273 1
 
2.2%
Other values (36) 36
78.3%
ValueCountFrequency (%)
23000000 1
2.2%
24536273 1
2.2%
24920000 1
2.2%
27752627 1
2.2%
27948000 1
2.2%
28000000 1
2.2%
35859118 1
2.2%
39563637 1
2.2%
40000000 1
2.2%
40122567 1
2.2%
ValueCountFrequency (%)
152000000000 1
2.2%
48060000000 1
2.2%
42108116000 1
2.2%
8700000000 1
2.2%
3590000000 1
2.2%
2572916340 1
2.2%
2244900000 1
2.2%
2239000000 1
2.2%
1984146800 1
2.2%
1020350000 1
2.2%

부가세(원)
Real number (ℝ)

HIGH CORRELATION  UNIQUE  ZEROS 

Distinct46
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.8720019 × 108
Minimum0
Maximum1.5199 × 1010
Zeros1
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-13T06:08:53.172808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2463220.2
Q14405217.8
median15194264
Q361389374
95-th percentile3.3756087 × 109
Maximum1.5199 × 1010
Range1.5199 × 1010
Interquartile range (IQR)56984156

Descriptive statistics

Standard deviation2.3902551 × 109
Coefficient of variation (CV)4.0705966
Kurtosis32.634511
Mean5.8720019 × 108
Median Absolute Deviation (MAD)11423127
Skewness5.5039803
Sum2.7011209 × 1010
Variance5.7133193 × 1018
MonotonicityNot monotonic
2023-12-13T06:08:53.614069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
359000000 1
 
2.2%
2800000 1
 
2.2%
13689091 1
 
2.2%
15357863 1
 
2.2%
18652334 1
 
2.2%
5690909 1
 
2.2%
15030666 1
 
2.2%
31163636 1
 
2.2%
2492000 1
 
2.2%
2453627 1
 
2.2%
Other values (36) 36
78.3%
ValueCountFrequency (%)
0 1
2.2%
2300000 1
2.2%
2453627 1
2.2%
2492000 1
2.2%
2775263 1
2.2%
2794800 1
2.2%
2800000 1
2.2%
3585912 1
2.2%
3956363 1
2.2%
4000000 1
2.2%
ValueCountFrequency (%)
15199000000 1
2.2%
4806000000 1
2.2%
4210811600 1
2.2%
870000000 1
2.2%
359000000 1
2.2%
257291634 1
2.2%
224490000 1
2.2%
223900000 1
2.2%
198414680 1
2.2%
102035000 1
2.2%

계약금액(원)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct46
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.4598108 × 109
Minimum25300000
Maximum1.67 × 1011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-13T06:08:53.785462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum25300000
5-th percentile28190972
Q152152750
median1.7640471 × 108
Q36.7528312 × 108
95-th percentile3.7131696 × 1010
Maximum1.67 × 1011
Range1.669747 × 1011
Interquartile range (IQR)6.2313037 × 108

Descriptive statistics

Standard deviation2.6265968 × 1010
Coefficient of variation (CV)4.0660584
Kurtosis32.613489
Mean6.4598108 × 109
Median Absolute Deviation (MAD)1.3264471 × 108
Skewness5.5020727
Sum2.9715129 × 1011
Variance6.8990105 × 1020
MonotonicityNot monotonic
2023-12-13T06:08:53.923359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
3949000000 1
 
2.2%
30800000 1
 
2.2%
150580000 1
 
2.2%
168936490 1
 
2.2%
205175680 1
 
2.2%
62600000 1
 
2.2%
165337324 1
 
2.2%
342800000 1
 
2.2%
27412000 1
 
2.2%
26989900 1
 
2.2%
Other values (36) 36
78.3%
ValueCountFrequency (%)
25300000 1
2.2%
26989900 1
2.2%
27412000 1
2.2%
30527890 1
2.2%
30742800 1
2.2%
30800000 1
2.2%
39445030 1
2.2%
43520000 1
2.2%
44000000 1
2.2%
44134824 1
2.2%
ValueCountFrequency (%)
167000000000 1
2.2%
52866000000 1
2.2%
46318927600 1
2.2%
9570000000 1
2.2%
3949000000 1
2.2%
2830207974 1
2.2%
2469390000 1
2.2%
2462900000 1
2.2%
2182561480 1
2.2%
1122385000 1
2.2%

계약방법
Categorical

Distinct5
Distinct (%)10.9%
Missing0
Missing (%)0.0%
Memory size500.0 B
제한경쟁
29 
일반경쟁
7 
수의계약
5 
제한경쟁(중소기업간)
3 
수의
 
2

Length

Max length11
Median length4
Mean length4.3695652
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row제한경쟁
2nd row수의계약
3rd row일반경쟁
4th row수의계약
5th row제한경쟁

Common Values

ValueCountFrequency (%)
제한경쟁 29
63.0%
일반경쟁 7
 
15.2%
수의계약 5
 
10.9%
제한경쟁(중소기업간) 3
 
6.5%
수의 2
 
4.3%

Length

2023-12-13T06:08:54.045472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:08:54.135121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제한경쟁 29
63.0%
일반경쟁 7
 
15.2%
수의계약 5
 
10.9%
제한경쟁(중소기업간 3
 
6.5%
수의 2
 
4.3%

계약업체
Text

Distinct35
Distinct (%)76.1%
Missing0
Missing (%)0.0%
Memory size500.0 B
2023-12-13T06:08:54.306168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12.5
Mean length10.478261
Min length4

Characters and Unicode

Total characters482
Distinct characters109
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 (%)60.9%

Sample

1st row아이솔라에너지 주식회사
2nd row엘지전자 주식회사
3rd row에이치와이엔지니어링(주)
4th row주식회사 엔엑스테크놀로지
5th row천일계전(주)
ValueCountFrequency (%)
주식회사 28
37.3%
아이솔라에너지 5
 
6.7%
도화엔지니어링 3
 
4.0%
렛츠스카이커뮤니케이션즈 2
 
2.7%
피앤씨테크 2
 
2.7%
조은엔지니어링 2
 
2.7%
에이치와이엔지니어링(주 2
 
2.7%
한국건설지원단 2
 
2.7%
재단법인 1
 
1.3%
주식회사보성전력 1
 
1.3%
Other values (27) 27
36.0%
2023-12-13T06:08:54.681846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 40
 
8.3%
회 33
 
6.8%
사 31
 
6.4%
식 31
 
6.4%
29
 
6.0%
지 21
 
4.4%
이 19
 
3.9%
엔 13
 
2.7%
에 13
 
2.7%
니 12
 
2.5%
Other values (99) 240
49.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 435
90.2%
Space Separator 29
 
6.0%
Close Punctuation 9
 
1.9%
Open Punctuation 9
 
1.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 40
 
9.2%
회 33
 
7.6%
사 31
 
7.1%
식 31
 
7.1%
지 21
 
4.8%
이 19
 
4.4%
엔 13
 
3.0%
에 13
 
3.0%
니 12
 
2.8%
전 9
 
2.1%
Other values (96) 213
49.0%
Space Separator
ValueCountFrequency (%)
29
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 435
90.2%
Common 47
 
9.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 40
 
9.2%
회 33
 
7.6%
사 31
 
7.1%
식 31
 
7.1%
지 21
 
4.8%
이 19
 
4.4%
엔 13
 
3.0%
에 13
 
3.0%
니 12
 
2.8%
전 9
 
2.1%
Other values (96) 213
49.0%
Common
ValueCountFrequency (%)
29
61.7%
) 9
 
19.1%
( 9
 
19.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 435
90.2%
ASCII 47
 
9.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 40
 
9.2%
회 33
 
7.6%
사 31
 
7.1%
식 31
 
7.1%
지 21
 
4.8%
이 19
 
4.4%
엔 13
 
3.0%
에 13
 
3.0%
니 12
 
2.8%
전 9
 
2.1%
Other values (96) 213
49.0%
ASCII
ValueCountFrequency (%)
29
61.7%
) 9
 
19.1%
( 9
 
19.1%

소재지
Text

Distinct35
Distinct (%)76.1%
Missing0
Missing (%)0.0%
Memory size500.0 B
2023-12-13T06:08:55.009645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length39.5
Mean length32.565217
Min length21

Characters and Unicode

Total characters1498
Distinct characters155
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

Unique28 ?
Unique (%)60.9%

Sample

1st row경기도 고양시 일산서구 킨텍스로, 217-59 (대화동) 오피스동 905호
2nd row서울특별시 영등포구 여의대로, 128(여의도동)
3rd row서울특별시 구로구 디지털로31길, 38-9 (구로동) 에이스테크노타워 1차 203호
4th row울산광역시 울주군 범서읍 대리2길, 57 OS빌딩 5층
5th row부산광역시 사상구 모라로192번길 9, 모라아파트 형공장 801호, (모라동)
ValueCountFrequency (%)
경기도 12
 
4.3%
서울특별시 12
 
4.3%
울산광역시 7
 
2.5%
전라남도 6
 
2.1%
킨텍스로 5
 
1.8%
일산서구 5
 
1.8%
217-59 5
 
1.8%
고양시 5
 
1.8%
905호 5
 
1.8%
오피스동 5
 
1.8%
Other values (153) 215
76.2%
2023-12-13T06:08:55.471929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
236
 
15.8%
, 61
 
4.1%
동 52
 
3.5%
1 47
 
3.1%
로 45
 
3.0%
시 43
 
2.9%
) 40
 
2.7%
( 40
 
2.7%
구 39
 
2.6%
2 37
 
2.5%
Other values (145) 858
57.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 833
55.6%
Decimal Number 256
 
17.1%
Space Separator 236
 
15.8%
Other Punctuation 61
 
4.1%
Close Punctuation 40
 
2.7%
Open Punctuation 40
 
2.7%
Dash Punctuation 26
 
1.7%
Uppercase Letter 6
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 52
 
6.2%
로 45
 
5.4%
시 43
 
5.2%
구 39
 
4.7%
도 25
 
3.0%
호 23
 
2.8%
남 23
 
2.8%
대 22
 
2.6%
울 22
 
2.6%
서 21
 
2.5%
Other values (127) 518
62.2%
Decimal Number
ValueCountFrequency (%)
1 47
18.4%
2 37
14.5%
0 36
14.1%
5 23
9.0%
4 23
9.0%
3 22
8.6%
9 19
7.4%
8 17
 
6.6%
7 16
 
6.2%
6 16
 
6.2%
Uppercase Letter
ValueCountFrequency (%)
S 3
50.0%
W 2
33.3%
O 1
 
16.7%
Space Separator
ValueCountFrequency (%)
236
100.0%
Other Punctuation
ValueCountFrequency (%)
, 61
100.0%
Close Punctuation
ValueCountFrequency (%)
) 40
100.0%
Open Punctuation
ValueCountFrequency (%)
( 40
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 833
55.6%
Common 659
44.0%
Latin 6
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 52
 
6.2%
로 45
 
5.4%
시 43
 
5.2%
구 39
 
4.7%
도 25
 
3.0%
호 23
 
2.8%
남 23
 
2.8%
대 22
 
2.6%
울 22
 
2.6%
서 21
 
2.5%
Other values (127) 518
62.2%
Common
ValueCountFrequency (%)
236
35.8%
, 61
 
9.3%
1 47
 
7.1%
) 40
 
6.1%
( 40
 
6.1%
2 37
 
5.6%
0 36
 
5.5%
- 26
 
3.9%
5 23
 
3.5%
4 23
 
3.5%
Other values (5) 90
 
13.7%
Latin
ValueCountFrequency (%)
S 3
50.0%
W 2
33.3%
O 1
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 833
55.6%
ASCII 665
44.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
236
35.5%
, 61
 
9.2%
1 47
 
7.1%
) 40
 
6.0%
( 40
 
6.0%
2 37
 
5.6%
0 36
 
5.4%
- 26
 
3.9%
5 23
 
3.5%
4 23
 
3.5%
Other values (8) 96
14.4%
Hangul
ValueCountFrequency (%)
동 52
 
6.2%
로 45
 
5.4%
시 43
 
5.2%
구 39
 
4.7%
도 25
 
3.0%
호 23
 
2.8%
남 23
 
2.8%
대 22
 
2.6%
울 22
 
2.6%
서 21
 
2.5%
Other values (127) 518
62.2%

계약담당사업소
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)10.9%
Missing0
Missing (%)0.0%
Memory size500.0 B
조달처
31 
신호남건설추진본부
8 
울산발전본부
 
3
당진발전본부
 
2
동해발전본부
 
2

Length

Max length9
Median length3
Mean length4.5
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
조달처 31
67.4%
신호남건설추진본부 8
 
17.4%
울산발전본부 3
 
6.5%
당진발전본부 2
 
4.3%
동해발전본부 2
 
4.3%

Length

2023-12-13T06:08:55.629139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:08:55.737338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
조달처 31
67.4%
신호남건설추진본부 8
 
17.4%
울산발전본부 3
 
6.5%
당진발전본부 2
 
4.3%
동해발전본부 2
 
4.3%

Interactions

2023-12-13T06:08:50.866627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:08:50.233199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:08:50.564152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:08:50.967430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:08:50.347071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:08:50.662960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:08:51.059479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:08:50.440135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:08:50.773746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T06:08:55.826612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분발주부서계약명계약일자공급가액(원)부가세(원)계약금액(원)계약방법계약업체소재지계약담당사업소
구분1.0000.5091.0000.8290.0000.0000.0000.4261.0001.0000.392
발주부서0.5091.0001.0000.8680.0000.0000.0000.5060.6270.6271.000
계약명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
계약일자0.8290.8681.0001.0001.0001.0001.0000.9720.9060.9060.976
공급가액(원)0.0000.0001.0001.0001.0001.0001.0000.2511.0001.0000.000
부가세(원)0.0000.0001.0001.0001.0001.0001.0000.2571.0001.0000.000
계약금액(원)0.0000.0001.0001.0001.0001.0001.0000.2511.0001.0000.000
계약방법0.4260.5061.0000.9720.2510.2570.2511.0000.9290.9290.394
계약업체1.0000.6271.0000.9061.0001.0001.0000.9291.0001.0000.826
소재지1.0000.6271.0000.9061.0001.0001.0000.9291.0001.0000.826
계약담당사업소0.3921.0001.0000.9760.0000.0000.0000.3940.8260.8261.000
2023-12-13T06:08:55.956240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분계약담당사업소계약방법발주부서
구분1.0000.3120.3460.227
계약담당사업소0.3121.0000.1490.911
계약방법0.3460.1491.0000.272
발주부서0.2270.9110.2721.000
2023-12-13T06:08:56.048359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공급가액(원)부가세(원)계약금액(원)구분발주부서계약방법계약담당사업소
공급가액(원)1.0000.9571.0000.0000.0000.2050.000
부가세(원)0.9571.0000.9570.0000.0000.2050.000
계약금액(원)1.0000.9571.0000.0000.0000.2050.000
구분0.0000.0000.0001.0000.2270.3460.312
발주부서0.0000.0000.0000.2271.0000.2720.911
계약방법0.2050.2050.2050.3460.2721.0000.149
계약담당사업소0.0000.0000.0000.3120.9110.1491.000

Missing values

2023-12-13T06:08:51.192843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T06:08:51.357166image/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

구분발주부서계약명계약일자공급가액(원)부가세(원)계약금액(원)계약방법계약업체소재지계약담당사업소
0구매에너지전환처 에너지신사업부산업단지 지붕태양광 3단계 발전설비 설치조건부 구매2022-03-2935900000003590000003949000000제한경쟁아이솔라에너지 주식회사경기도 고양시 일산서구 킨텍스로, 217-59 (대화동) 오피스동 905호조달처
1구매에너지전환처 에너지신사업부유찰수의공고_산업용 ESS(163㎿h급) 설치조건부 구매2022-05-1942108116000421081160046318927600수의계약엘지전자 주식회사서울특별시 영등포구 여의대로, 128(여의도동)조달처
2구매에너지전환처 신사업운영센터다기능 공기(미세입자 및 연기) 흡입형 감지기 구매2022-06-2762982498962982498692807487일반경쟁에이치와이엔지니어링(주)서울특별시 구로구 디지털로31길, 38-9 (구로동) 에이스테크노타워 1차 203호조달처
3구매에너지전환처 에너지신사업부캠퍼스 에너지 효율화 시스템 설치조건부 구매2022-07-0122449000002244900002469390000수의계약주식회사 엔엑스테크놀로지울산광역시 울주군 범서읍 대리2길, 57 OS빌딩 5층조달처
4구매에너지전환처 신사업운영센터전력거래소용 전력계량장비 설치조건부 구매 연간단가계약(추정물량 : 450 SET)2022-07-0419841468001984146802182561480제한경쟁천일계전(주)부산광역시 사상구 모라로192번길 9, 모라아파트 형공장 801호, (모라동)조달처
5구매에너지전환처 신사업운영센터ESS 점검용 계측장비 구매2022-08-0839563637395636343520000일반경쟁엔에이블서울특별시 양천구 목동로3길, 57 (신정동, 양천아파트) 103동 405호조달처
6구매에너지전환처 에너지신사업부산업단지 전력중개형 지붕태양광 3단계 사급자재 구매2022-08-1784155455841554592571000제한경쟁(중소기업간)영전산업주식회사경기도 화성군 정남면 발산리, 539-4조달처
7구매에너지전환처 에너지신사업부유찰수의공고_[재공고]충북 산업단지 지붕태양광 발전설비 설치조건부 구매2022-09-0825729163402572916342830207974수의계약아이솔라에너지 주식회사경기도 고양시 일산서구 킨텍스로, 217-59 (대화동) 오피스동 905호조달처
8구매에너지전환처 에너지신사업부산업단지 전력중개형 지붕태양광 5단계(경상권) 발전설비 설치조건부 구매2022-10-2687000000008700000009570000000제한경쟁아이솔라에너지 주식회사경기도 고양시 일산서구 킨텍스로, 217-59 (대화동) 오피스동 905호조달처
9구매재생에너지처 태양광사업부한진 광양물류센터 지붕태양광 발전설비 구매(설치조건부)2022-02-2322390000002239000002462900000제한경쟁아이솔라에너지 주식회사경기도 고양시 일산서구 킨텍스로, 217-59 (대화동) 오피스동 905호조달처
구분발주부서계약명계약일자공급가액(원)부가세(원)계약금액(원)계약방법계약업체소재지계약담당사업소
36용역에너지전환처 에너지신사업부LG전자 ESS(163mWh급) 구축사업 전기공사 감리용역2022-06-2816715720116715720183872921제한경쟁주식회사 세림이엔지전라남도 나주시 남평읍 남평2로, 38-2조달처
37용역에너지전환처 에너지신사업부LG전자 ESS 구축사업 현장 안전관리 감시 용역2022-07-1523000000230000025300000제한경쟁한국건설지원단 주식회사경상남도 진주시 사들로, 20-0 (충무공동)조달처
38공사에너지전환처 에너지신사업부LG전자 창원공장 ESS 건축물 소방시설공사2022-08-0974707501074707501821782511제한경쟁금양그린파워 주식회사울산광역시 남구 삼산로, 257-0 (달동)조달처
39용역에너지전환처 에너지신사업부LG전자 ESS 사업 및 3단계 지붕태양광 사업 준공식 설치·운영 용역(협상에 의한 계약)2022-12-1357272727572727363000000제한경쟁주식회사 렛츠스카이커뮤니케이션즈대구광역시 북구 동북로, 117-0 (산격동) SW벤처타워 507호조달처
40용역에너지전환처 전원개발부춘천에너지㈜ 주식가치평가 용역(협상에 의한 계약)2022-12-1940000000400000044000000제한경쟁삼도회계법인서울특별시 서초구 사평대로, 361, 3층(반포동, 청원빌딩)조달처
41용역에너지전환처 신사업운영센터에너지신사업 태양광 발전설비 유지관리 용역2022-12-2013491363613491364148405000일반경쟁(주)한라전기안전관리울산광역시 남구 신정로17번길, 21-1 (달동)조달처
42용역재생에너지처 재생에너지건설운영부유찰수의공고_당진발전본부 소수력발전소 리파워링 타당성 용역(협상에 의한 계약)2022-03-0224814545524814545272960000수의주식회사 도화엔지니어링서울특별시 강남구 삼성로 438, (대치동)조달처
43용역신재생개발권역센터양산 풍력 발전사업 타당성조사 용역2022-05-1123690727323690727260598000제한경쟁주식회사 도화엔지니어링서울특별시 강남구 삼성로 438, (대치동)조달처
44용역재생에너지처 해상풍력부해상풍력 마스터플랜 수립 용역(협상에 의한 계약)2022-11-212170000000217000000일반경쟁재단법인 에너지경제연구원울산광역시 중구 종가로, 405-11 (성안동)조달처
45용역재생에너지처 그린전략실대산그린에너지㈜ 주식가치평가 용역(협상에 의한 계약)2022-12-1327948000279480030742800제한경쟁동아송강회계법인서울특별시 서초구 강남대로, 221-0 (양재동) 4층 408호조달처