Overview

Dataset statistics

Number of variables8
Number of observations2033
Missing cells1
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory129.2 KiB
Average record size in memory65.1 B

Variable types

Categorical1
Text5
DateTime1
Numeric1

Dataset

Description한국남동발전의 1천만원 이상 계약현황 및 대가지급 데이터 입니다. 계약명, 계약금액, 낙착율, 업체명, 계약 방법 등의 정보를 포함하고 있습니다. (수의계약 제외)
URLhttps://www.data.go.kr/data/15040189/fileData.do

Alerts

계약금액(세금포함) is highly skewed (γ1 = 22.98271943)Skewed

Reproduction

Analysis started2023-12-12 22:03:20.651391
Analysis finished2023-12-12 22:03:22.044326
Duration1.39 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size16.0 KiB
물품
774 
공사
532 
용역
428 
구매
299 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
물품 774
38.1%
공사 532
26.2%
용역 428
21.1%
구매 299
 
14.7%

Length

2023-12-13T07:03:22.120382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:03:22.599868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
물품 774
38.1%
공사 532
26.2%
용역 428
21.1%
구매 299
 
14.7%
Distinct1992
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size16.0 KiB
2023-12-13T07:03:22.923961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length75
Median length49
Mean length27.165765
Min length10

Characters and Unicode

Total characters55228
Distinct characters501
Distinct categories14 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1962 ?
Unique (%)96.5%

Sample

1st row2020년 영흥발전본부 연간단가(KMC 공기압축기)
2nd row2020년 영흥발전본부 일반자재 연간단가(밸브류)
3rd row산업소재 자원화설비 2020년 계획예방정비공사 정비자재 구매
4th row#5,6 HRH Tie Tee 구매
5th row2020년 영흥발전본부 일반자재 연간단가(#3,4 공기압축기)
ValueCountFrequency (%)
구매 495
 
4.4%
용역 243
 
2.2%
231
 
2.1%
영흥 226
 
2.0%
영동 194
 
1.7%
설치조건부 159
 
1.4%
2022년 125
 
1.1%
영흥발전본부 117
 
1.0%
자재구매 103
 
0.9%
공사 103
 
0.9%
Other values (2507) 9147
82.1%
2023-12-13T07:03:23.410549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9112
 
16.5%
2 1511
 
2.7%
1305
 
2.4%
1208
 
2.2%
1158
 
2.1%
1025
 
1.9%
976
 
1.8%
975
 
1.8%
847
 
1.5%
829
 
1.5%
Other values (491) 36282
65.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 34548
62.6%
Space Separator 9112
 
16.5%
Decimal Number 3861
 
7.0%
Lowercase Letter 3551
 
6.4%
Uppercase Letter 2114
 
3.8%
Other Punctuation 1128
 
2.0%
Connector Punctuation 237
 
0.4%
Open Punctuation 223
 
0.4%
Close Punctuation 223
 
0.4%
Math Symbol 189
 
0.3%
Other values (4) 42
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1305
 
3.8%
1208
 
3.5%
1158
 
3.4%
1025
 
3.0%
976
 
2.8%
975
 
2.8%
847
 
2.5%
829
 
2.4%
810
 
2.3%
798
 
2.3%
Other values (409) 24617
71.3%
Lowercase Letter
ValueCountFrequency (%)
e 514
14.5%
l 352
9.9%
r 336
9.5%
o 288
 
8.1%
t 270
 
7.6%
a 267
 
7.5%
i 252
 
7.1%
n 240
 
6.8%
s 127
 
3.6%
u 120
 
3.4%
Other values (15) 785
22.1%
Uppercase Letter
ValueCountFrequency (%)
C 271
12.8%
S 211
 
10.0%
P 180
 
8.5%
H 163
 
7.7%
T 158
 
7.5%
B 144
 
6.8%
O 133
 
6.3%
A 94
 
4.4%
L 77
 
3.6%
M 76
 
3.6%
Other values (15) 607
28.7%
Decimal Number
ValueCountFrequency (%)
2 1511
39.1%
1 742
19.2%
0 634
16.4%
4 327
 
8.5%
6 241
 
6.2%
3 209
 
5.4%
5 165
 
4.3%
9 22
 
0.6%
8 5
 
0.1%
7 5
 
0.1%
Other Punctuation
ValueCountFrequency (%)
# 635
56.3%
, 394
34.9%
· 28
 
2.5%
& 21
 
1.9%
; 16
 
1.4%
. 14
 
1.2%
' 10
 
0.9%
/ 4
 
0.4%
" 4
 
0.4%
% 2
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 217
97.3%
[ 6
 
2.7%
Close Punctuation
ValueCountFrequency (%)
) 217
97.3%
] 6
 
2.7%
Math Symbol
ValueCountFrequency (%)
~ 188
99.5%
1
 
0.5%
Space Separator
ValueCountFrequency (%)
9112
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 237
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 38
100.0%
Initial Punctuation
ValueCountFrequency (%)
2
100.0%
Final Punctuation
ValueCountFrequency (%)
1
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 34545
62.5%
Common 15015
27.2%
Latin 5665
 
10.3%
Han 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1305
 
3.8%
1208
 
3.5%
1158
 
3.4%
1025
 
3.0%
976
 
2.8%
975
 
2.8%
847
 
2.5%
829
 
2.4%
810
 
2.3%
798
 
2.3%
Other values (407) 24614
71.3%
Latin
ValueCountFrequency (%)
e 514
 
9.1%
l 352
 
6.2%
r 336
 
5.9%
o 288
 
5.1%
C 271
 
4.8%
t 270
 
4.8%
a 267
 
4.7%
i 252
 
4.4%
n 240
 
4.2%
S 211
 
3.7%
Other values (40) 2664
47.0%
Common
ValueCountFrequency (%)
9112
60.7%
2 1511
 
10.1%
1 742
 
4.9%
# 635
 
4.2%
0 634
 
4.2%
, 394
 
2.6%
4 327
 
2.2%
6 241
 
1.6%
_ 237
 
1.6%
( 217
 
1.4%
Other values (22) 965
 
6.4%
Han
ValueCountFrequency (%)
2
66.7%
1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 34542
62.5%
ASCII 20648
37.4%
None 28
 
0.1%
Compat Jamo 3
 
< 0.1%
Punctuation 3
 
< 0.1%
CJK 3
 
< 0.1%
Arrows 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9112
44.1%
2 1511
 
7.3%
1 742
 
3.6%
# 635
 
3.1%
0 634
 
3.1%
e 514
 
2.5%
, 394
 
1.9%
l 352
 
1.7%
r 336
 
1.6%
4 327
 
1.6%
Other values (68) 6091
29.5%
Hangul
ValueCountFrequency (%)
1305
 
3.8%
1208
 
3.5%
1158
 
3.4%
1025
 
3.0%
976
 
2.8%
975
 
2.8%
847
 
2.5%
829
 
2.4%
810
 
2.3%
798
 
2.3%
Other values (406) 24611
71.2%
None
ValueCountFrequency (%)
· 28
100.0%
Compat Jamo
ValueCountFrequency (%)
3
100.0%
Punctuation
ValueCountFrequency (%)
2
66.7%
1
33.3%
CJK
ValueCountFrequency (%)
2
66.7%
1
33.3%
Arrows
ValueCountFrequency (%)
1
100.0%
Distinct646
Distinct (%)31.8%
Missing0
Missing (%)0.0%
Memory size16.0 KiB
Minimum2020-01-02 00:00:00
Maximum2022-12-29 00:00:00
2023-12-13T07:03:23.548615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:03:23.673279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

계약금액(세금포함)
Real number (ℝ)

SKEWED 

Distinct2025
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.1448334 × 108
Minimum10449033
Maximum2.349215 × 1011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.0 KiB
2023-12-13T07:03:23.814507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10449033
5-th percentile22961269
Q157790810
median1.1903316 × 108
Q32.7806063 × 108
95-th percentile1.2640099 × 109
Maximum2.349215 × 1011
Range2.3491105 × 1011
Interquartile range (IQR)2.2026982 × 108

Descriptive statistics

Standard deviation8.3852786 × 109
Coefficient of variation (CV)10.295212
Kurtosis592.57099
Mean8.1448334 × 108
Median Absolute Deviation (MAD)77782235
Skewness22.982719
Sum1.6558446 × 1012
Variance7.0312897 × 1019
MonotonicityNot monotonic
2023-12-13T07:03:23.949349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
202400000 2
 
0.1%
100991000 2
 
0.1%
112200000 2
 
0.1%
115500000 2
 
0.1%
176000000 2
 
0.1%
53350000 2
 
0.1%
30250000 2
 
0.1%
825000000 2
 
0.1%
118676311 1
 
< 0.1%
28849300 1
 
< 0.1%
Other values (2015) 2015
99.1%
ValueCountFrequency (%)
10449033 1
< 0.1%
10926586 1
< 0.1%
11223200 1
< 0.1%
11451440 1
< 0.1%
11697411 1
< 0.1%
11842016 1
< 0.1%
11859100 1
< 0.1%
12646299 1
< 0.1%
12863800 1
< 0.1%
13124096 1
< 0.1%
ValueCountFrequency (%)
234921500000 1
< 0.1%
228789000000 1
< 0.1%
111640337270 1
< 0.1%
93914218000 1
< 0.1%
62370000000 1
< 0.1%
57763189000 1
< 0.1%
49339829000 1
< 0.1%
41147502000 1
< 0.1%
34496792000 1
< 0.1%
20123400000 1
< 0.1%
Distinct1018
Distinct (%)50.1%
Missing0
Missing (%)0.0%
Memory size16.0 KiB
2023-12-13T07:03:24.253229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length6
Mean length6.8996557
Min length6

Characters and Unicode

Total characters14027
Distinct characters18
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique598 ?
Unique (%)29.4%

Sample

1st row84.03%
2nd row80.12%
3rd row80.51%
4th row80.74%
5th row98.47%
ValueCountFrequency (%)
84.25 35
 
1.7%
80.50 27
 
1.3%
84.26 14
 
0.7%
88.00 13
 
0.6%
8806.00 12
 
0.6%
88.05 11
 
0.5%
8801.00 10
 
0.5%
84.27 10
 
0.5%
88.02 10
 
0.5%
84.33 9
 
0.4%
Other values (1008) 1882
92.6%
2023-12-13T07:03:24.792588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2708
19.3%
8 2576
18.4%
% 2032
14.5%
. 2032
14.5%
7 913
 
6.5%
4 726
 
5.2%
9 676
 
4.8%
5 506
 
3.6%
3 491
 
3.5%
2 484
 
3.5%
Other values (8) 883
 
6.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9957
71.0%
Other Punctuation 4067
29.0%
Uppercase Letter 3
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2708
27.2%
8 2576
25.9%
7 913
 
9.2%
4 726
 
7.3%
9 676
 
6.8%
5 506
 
5.1%
3 491
 
4.9%
2 484
 
4.9%
6 447
 
4.5%
1 430
 
4.3%
Other Punctuation
ValueCountFrequency (%)
% 2032
50.0%
. 2032
50.0%
# 1
 
< 0.1%
/ 1
 
< 0.1%
! 1
 
< 0.1%
Uppercase Letter
ValueCountFrequency (%)
D 1
33.3%
I 1
33.3%
V 1
33.3%

Most occurring scripts

ValueCountFrequency (%)
Common 14024
> 99.9%
Latin 3
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2708
19.3%
8 2576
18.4%
% 2032
14.5%
. 2032
14.5%
7 913
 
6.5%
4 726
 
5.2%
9 676
 
4.8%
5 506
 
3.6%
3 491
 
3.5%
2 484
 
3.5%
Other values (5) 880
 
6.3%
Latin
ValueCountFrequency (%)
D 1
33.3%
I 1
33.3%
V 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14027
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2708
19.3%
8 2576
18.4%
% 2032
14.5%
. 2032
14.5%
7 913
 
6.5%
4 726
 
5.2%
9 676
 
4.8%
5 506
 
3.6%
3 491
 
3.5%
2 484
 
3.5%
Other values (8) 883
 
6.3%
Distinct1386
Distinct (%)68.2%
Missing0
Missing (%)0.0%
Memory size16.0 KiB
2023-12-13T07:03:25.088239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length25
Mean length8.317757
Min length2

Characters and Unicode

Total characters16910
Distinct characters482
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1084 ?
Unique (%)53.3%

Sample

1st row다인상사
2nd row더제이원(THE J-ONE)
3rd row태공예
4th row시선컴퍼니
5th row유창기계공업(주)
ValueCountFrequency (%)
주식회사 822
27.7%
한도 13
 
0.4%
동성컴퍼니 11
 
0.4%
한스코 11
 
0.4%
11
 
0.4%
와이에이치테크 10
 
0.3%
도화엔지니어링 10
 
0.3%
제이와이기업 10
 
0.3%
유한회사 10
 
0.3%
주식회사한국이앤씨 9
 
0.3%
Other values (1429) 2046
69.1%
2023-12-13T07:03:25.606667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1440
 
8.5%
1178
 
7.0%
1041
 
6.2%
978
 
5.8%
931
 
5.5%
636
 
3.8%
) 472
 
2.8%
( 471
 
2.8%
316
 
1.9%
299
 
1.8%
Other values (472) 9148
54.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14654
86.7%
Space Separator 931
 
5.5%
Close Punctuation 474
 
2.8%
Open Punctuation 473
 
2.8%
Uppercase Letter 221
 
1.3%
Lowercase Letter 94
 
0.6%
Other Punctuation 51
 
0.3%
Decimal Number 9
 
0.1%
Dash Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1440
 
9.8%
1178
 
8.0%
1041
 
7.1%
978
 
6.7%
636
 
4.3%
316
 
2.2%
299
 
2.0%
287
 
2.0%
226
 
1.5%
213
 
1.5%
Other values (421) 8040
54.9%
Uppercase Letter
ValueCountFrequency (%)
S 28
12.7%
E 25
11.3%
T 25
11.3%
C 23
10.4%
N 16
 
7.2%
B 13
 
5.9%
J 12
 
5.4%
L 10
 
4.5%
M 9
 
4.1%
I 8
 
3.6%
Other values (13) 52
23.5%
Lowercase Letter
ValueCountFrequency (%)
o 21
22.3%
n 12
12.8%
r 8
 
8.5%
t 8
 
8.5%
a 7
 
7.4%
i 7
 
7.4%
d 6
 
6.4%
p 5
 
5.3%
e 5
 
5.3%
h 3
 
3.2%
Other values (6) 12
12.8%
Other Punctuation
ValueCountFrequency (%)
. 40
78.4%
& 10
 
19.6%
; 1
 
2.0%
Decimal Number
ValueCountFrequency (%)
1 5
55.6%
9 3
33.3%
2 1
 
11.1%
Close Punctuation
ValueCountFrequency (%)
) 472
99.6%
2
 
0.4%
Open Punctuation
ValueCountFrequency (%)
( 471
99.6%
2
 
0.4%
Space Separator
ValueCountFrequency (%)
931
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14648
86.6%
Common 1941
 
11.5%
Latin 315
 
1.9%
Han 6
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1440
 
9.8%
1178
 
8.0%
1041
 
7.1%
978
 
6.7%
636
 
4.3%
316
 
2.2%
299
 
2.0%
287
 
2.0%
226
 
1.5%
213
 
1.5%
Other values (415) 8034
54.8%
Latin
ValueCountFrequency (%)
S 28
 
8.9%
E 25
 
7.9%
T 25
 
7.9%
C 23
 
7.3%
o 21
 
6.7%
N 16
 
5.1%
B 13
 
4.1%
J 12
 
3.8%
n 12
 
3.8%
L 10
 
3.2%
Other values (29) 130
41.3%
Common
ValueCountFrequency (%)
931
48.0%
) 472
24.3%
( 471
24.3%
. 40
 
2.1%
& 10
 
0.5%
1 5
 
0.3%
- 3
 
0.2%
9 3
 
0.2%
2
 
0.1%
2
 
0.1%
Other values (2) 2
 
0.1%
Han
ValueCountFrequency (%)
1
16.7%
1
16.7%
1
16.7%
1
16.7%
1
16.7%
1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14648
86.6%
ASCII 2252
 
13.3%
CJK 6
 
< 0.1%
None 4
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1440
 
9.8%
1178
 
8.0%
1041
 
7.1%
978
 
6.7%
636
 
4.3%
316
 
2.2%
299
 
2.0%
287
 
2.0%
226
 
1.5%
213
 
1.5%
Other values (415) 8034
54.8%
ASCII
ValueCountFrequency (%)
931
41.3%
) 472
21.0%
( 471
20.9%
. 40
 
1.8%
S 28
 
1.2%
E 25
 
1.1%
T 25
 
1.1%
C 23
 
1.0%
o 21
 
0.9%
N 16
 
0.7%
Other values (39) 200
 
8.9%
None
ValueCountFrequency (%)
2
50.0%
2
50.0%
CJK
ValueCountFrequency (%)
1
16.7%
1
16.7%
1
16.7%
1
16.7%
1
16.7%
1
16.7%
Distinct1354
Distinct (%)66.6%
Missing0
Missing (%)0.0%
Memory size16.0 KiB
2023-12-13T07:03:26.073529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length3
Mean length3.004427
Min length2

Characters and Unicode

Total characters6108
Distinct characters225
Distinct categories3 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1031 ?
Unique (%)50.7%

Sample

1st row이춘식
2nd row신지현
3rd row김태은
4th row천성웅
5th row조도제
ValueCountFrequency (%)
김도한 16
 
0.8%
김상규 14
 
0.7%
이태연 13
 
0.6%
박연주 13
 
0.6%
양윤근 10
 
0.5%
김채용 10
 
0.5%
박승우 10
 
0.5%
강정환 9
 
0.4%
한건운 9
 
0.4%
장영덕 9
 
0.4%
Other values (1349) 1925
94.5%
2023-12-13T07:03:26.524376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
387
 
6.3%
321
 
5.3%
253
 
4.1%
193
 
3.2%
181
 
3.0%
113
 
1.9%
111
 
1.8%
107
 
1.8%
102
 
1.7%
101
 
1.7%
Other values (215) 4239
69.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6083
99.6%
Uppercase Letter 20
 
0.3%
Space Separator 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
387
 
6.4%
321
 
5.3%
253
 
4.2%
193
 
3.2%
181
 
3.0%
113
 
1.9%
111
 
1.8%
107
 
1.8%
102
 
1.7%
101
 
1.7%
Other values (203) 4214
69.3%
Uppercase Letter
ValueCountFrequency (%)
O 5
25.0%
E 3
15.0%
Y 2
 
10.0%
I 2
 
10.0%
N 2
 
10.0%
S 1
 
5.0%
K 1
 
5.0%
J 1
 
5.0%
L 1
 
5.0%
U 1
 
5.0%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6083
99.6%
Latin 20
 
0.3%
Common 5
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
387
 
6.4%
321
 
5.3%
253
 
4.2%
193
 
3.2%
181
 
3.0%
113
 
1.9%
111
 
1.8%
107
 
1.8%
102
 
1.7%
101
 
1.7%
Other values (203) 4214
69.3%
Latin
ValueCountFrequency (%)
O 5
25.0%
E 3
15.0%
Y 2
 
10.0%
I 2
 
10.0%
N 2
 
10.0%
S 1
 
5.0%
K 1
 
5.0%
J 1
 
5.0%
L 1
 
5.0%
U 1
 
5.0%
Common
ValueCountFrequency (%)
5
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6083
99.6%
ASCII 25
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
387
 
6.4%
321
 
5.3%
253
 
4.2%
193
 
3.2%
181
 
3.0%
113
 
1.9%
111
 
1.8%
107
 
1.8%
102
 
1.7%
101
 
1.7%
Other values (203) 4214
69.3%
ASCII
ValueCountFrequency (%)
5
20.0%
O 5
20.0%
E 3
12.0%
Y 2
 
8.0%
I 2
 
8.0%
N 2
 
8.0%
S 1
 
4.0%
K 1
 
4.0%
J 1
 
4.0%
L 1
 
4.0%
Other values (2) 2
 
8.0%
Distinct300
Distinct (%)14.8%
Missing1
Missing (%)< 0.1%
Memory size16.0 KiB
2023-12-13T07:03:26.789309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length26
Mean length18.79626
Min length3

Characters and Unicode

Total characters38194
Distinct characters206
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

Unique141 ?
Unique (%)6.9%

Sample

1st row사업소 영흥발전본부 환경기술실 자원순환연구센터
2nd row사업소 영흥발전본부 제1발전처 기계부
3rd row사업소 영흥발전본부 환경기술실 자원순환연구센터
4th row사업소 영흥발전본부 제3발전처 기계부
5th row사업소 영흥발전본부 제2발전처 기계부
ValueCountFrequency (%)
사업소 1616
22.8%
영흥발전본부 766
 
10.8%
기계부 468
 
6.6%
발전운영실 432
 
6.1%
제1발전처 379
 
5.4%
삼천포발전본부 306
 
4.3%
전기부 267
 
3.8%
계측제어부 239
 
3.4%
제2발전처 239
 
3.4%
영동에코발전본부 228
 
3.2%
Other values (211) 2138
30.2%
2023-12-13T07:03:27.170600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5052
 
13.2%
3553
 
9.3%
3398
 
8.9%
2986
 
7.8%
1706
 
4.5%
1677
 
4.4%
1675
 
4.4%
1642
 
4.3%
1632
 
4.3%
1051
 
2.8%
Other values (196) 13822
36.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 32061
83.9%
Space Separator 5052
 
13.2%
Decimal Number 826
 
2.2%
Uppercase Letter 232
 
0.6%
Lowercase Letter 9
 
< 0.1%
Other Punctuation 6
 
< 0.1%
Dash Punctuation 4
 
< 0.1%
Close Punctuation 2
 
< 0.1%
Open Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3553
 
11.1%
3398
 
10.6%
2986
 
9.3%
1706
 
5.3%
1677
 
5.2%
1675
 
5.2%
1642
 
5.1%
1632
 
5.1%
1051
 
3.3%
1030
 
3.2%
Other values (172) 11711
36.5%
Decimal Number
ValueCountFrequency (%)
1 402
48.7%
2 248
30.0%
3 158
 
19.1%
8 6
 
0.7%
0 4
 
0.5%
7 2
 
0.2%
5 2
 
0.2%
4 2
 
0.2%
9 2
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
T 77
33.2%
I 76
32.8%
C 75
32.3%
P 2
 
0.9%
G 1
 
0.4%
S 1
 
0.4%
Lowercase Letter
ValueCountFrequency (%)
t 3
33.3%
c 3
33.3%
i 3
33.3%
Other Punctuation
ValueCountFrequency (%)
, 5
83.3%
/ 1
 
16.7%
Space Separator
ValueCountFrequency (%)
5052
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 32061
83.9%
Common 5892
 
15.4%
Latin 241
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3553
 
11.1%
3398
 
10.6%
2986
 
9.3%
1706
 
5.3%
1677
 
5.2%
1675
 
5.2%
1642
 
5.1%
1632
 
5.1%
1051
 
3.3%
1030
 
3.2%
Other values (172) 11711
36.5%
Common
ValueCountFrequency (%)
5052
85.7%
1 402
 
6.8%
2 248
 
4.2%
3 158
 
2.7%
8 6
 
0.1%
, 5
 
0.1%
- 4
 
0.1%
0 4
 
0.1%
) 2
 
< 0.1%
7 2
 
< 0.1%
Other values (5) 9
 
0.2%
Latin
ValueCountFrequency (%)
T 77
32.0%
I 76
31.5%
C 75
31.1%
t 3
 
1.2%
c 3
 
1.2%
i 3
 
1.2%
P 2
 
0.8%
G 1
 
0.4%
S 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 32061
83.9%
ASCII 6133
 
16.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5052
82.4%
1 402
 
6.6%
2 248
 
4.0%
3 158
 
2.6%
T 77
 
1.3%
I 76
 
1.2%
C 75
 
1.2%
8 6
 
0.1%
, 5
 
0.1%
- 4
 
0.1%
Other values (14) 30
 
0.5%
Hangul
ValueCountFrequency (%)
3553
 
11.1%
3398
 
10.6%
2986
 
9.3%
1706
 
5.3%
1677
 
5.2%
1675
 
5.2%
1642
 
5.1%
1632
 
5.1%
1051
 
3.3%
1030
 
3.2%
Other values (172) 11711
36.5%

Interactions

2023-12-13T07:03:21.645566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T07:03:27.270419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분계약금액(세금포함)
구분1.0000.000
계약금액(세금포함)0.0001.000
2023-12-13T07:03:27.351279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
계약금액(세금포함)구분
계약금액(세금포함)1.0000.000
구분0.0001.000

Missing values

2023-12-13T07:03:21.829505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:03:21.979438image/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

구분계약명계약일자계약금액(세금포함)낙찰율(예산대비)업체명대표자담당부서
0물품2020년 영흥발전본부 연간단가(KMC 공기압축기)2020-01-026866179384.03%다인상사이춘식사업소 영흥발전본부 환경기술실 자원순환연구센터
1물품2020년 영흥발전본부 일반자재 연간단가(밸브류)2020-01-0219749157180.12%더제이원(THE J-ONE)신지현사업소 영흥발전본부 제1발전처 기계부
2물품산업소재 자원화설비 2020년 계획예방정비공사 정비자재 구매2020-01-0229953500080.51%태공예김태은사업소 영흥발전본부 환경기술실 자원순환연구센터
3물품#5,6 HRH Tie Tee 구매2020-01-0236224550680.74%시선컴퍼니천성웅사업소 영흥발전본부 제3발전처 기계부
4물품2020년 영흥발전본부 일반자재 연간단가(#3,4 공기압축기)2020-01-0241875571198.47%유창기계공업(주)조도제사업소 영흥발전본부 제2발전처 기계부
5물품제1~4호기 연료환경설비 Dust collector용 저압전동기 제작구매2020-01-037119255084.05%민성하이테크심재규사업소 삼천포발전본부 제1발전처 전기부
6물품#1 Main TBN 보호계통 자재 구매2020-01-039193756084.90%트윈스배상수사업소 영흥발전본부 제1발전처 계측제어부
7물품#4 2020년 탈황연료제어설비 계획예방정비공사용 자재 구매2020-01-0314303566083.89%제로테크송홍철사업소 영흥발전본부 제2발전처 계측제어부
8물품#1 고압터빈 Inner Casing Bolt 구매2020-01-0319698123280.37%(주)화신하이테크정태형사업소 영흥발전본부 제1발전처 기계부
9물품2020년 영흥발전본부 일반자재 연간단가(#1,2 공기압축기)2020-01-0327205128897.00%주식회사 지티씨이원진사업소 영흥발전본부 제1발전처 기계부
구분계약명계약일자계약금액(세금포함)낙찰율(예산대비)업체명대표자담당부서
2023구매고성발전본부 수·폐수처리설비 경상정비용 여재 제작구매2022-12-21369369008806.00%(주)자카본최진헌사업소 고성발전본부 안전기술부
2024구매여수#2 계획예방정비공사 보일러 일반자재 구매2022-12-21707921298792.00%부성 E.N.G이창식사업소 여수발전본부 발전운영실 기계부
2025구매#5,6 지하구 소방시설 개선공사용 자재 구매2022-12-211236367008424.00%티에스와이서선숙사업소 영흥발전본부 제3발전처 전기부
2026구매#5,6 보일러 전동밸브 설비개선 자재구매2022-12-212157406708037.00%(주)디티엔곽순헌사업소 영흥발전본부 제3발전처 전기부
2027구매여수#2 회처리 계획예방정비공사 일반자재 구매2022-12-22920174098757.00%동림이앤씨정세연사업소 여수발전본부 발전운영실 기계부
2028구매#5 터빈보조제어설비 계획예방정비공사 자재구매2022-12-222553555108013.00%(주)포코오션박종일사업소 영흥발전본부 제3발전처 계측제어부
2029공사2023년 영흥 회처리장 비산방지 복토공사2022-12-267293967008858.00%주식회사 예다토건차종문사업소 영흥발전본부 경영지원처 시설관리부
2030용역폐컨베이어벨트(재활용)위탁처리용역 단가계약2022-12-26409113408429.00%주식회사 홍익이엔아이박주일삼천포발전본부 녹색환경부
2031구매영동 154kV 수전설비 케이블 및 접속함 구매2022-12-272860001109452.00%일진전기 주식회사황수사업소 영동에코발전본부 발전운영실 전기부
2032용역삼천포발전본부 주변 환경측정(소음, 진동, 비산먼지, 악취)용역2022-12-29466489008739.00%(주)진덕환경엔지니어링유희선삼천포발전본부 녹색환경부