Overview

Dataset statistics

Number of variables46
Number of observations2485
Missing cells51115
Missing cells (%)44.7%
Duplicate rows1
Duplicate rows (%)< 0.1%
Total size in memory934.4 KiB
Average record size in memory385.1 B

Variable types

Text9
Numeric6
Categorical17
DateTime4
Unsupported10

Dataset

Description조달실적을 종합적으로 분석한 정보
Author조달청
URLhttps://www.data.go.kr/data/15023680/standard.do

Alerts

Dataset has 1 (< 0.1%) duplicate rowsDuplicates
계약체결형태명 is highly imbalanced (54.3%)Imbalance
장기계속구분명 is highly imbalanced (86.7%)Imbalance
공동계약여부 is highly imbalanced (91.3%)Imbalance
입찰공고차수 is highly imbalanced (91.2%)Imbalance
입찰공고URL is highly imbalanced (86.7%)Imbalance
국내업체여부 is highly imbalanced (86.7%)Imbalance
대표업체연락전화번호 is highly imbalanced (86.7%)Imbalance
통합계약번호 has 1939 (78.0%) missing valuesMissing
총계약금액 has 2439 (98.1%) missing valuesMissing
계약정보URL has 2485 (100.0%) missing valuesMissing
입찰공고번호 has 2439 (98.1%) missing valuesMissing
입찰공고명 has 2439 (98.1%) missing valuesMissing
개찰일자 has 2439 (98.1%) missing valuesMissing
개찰시각 has 2439 (98.1%) missing valuesMissing
예정가격 has 2456 (98.8%) missing valuesMissing
수의계약사유 has 2485 (100.0%) missing valuesMissing
계약기관담당부서명 has 2485 (100.0%) missing valuesMissing
계약기관담당자명 has 2485 (100.0%) missing valuesMissing
계약기관담당자전화번호 has 2485 (100.0%) missing valuesMissing
계약기관담당자이메일주소 has 2485 (100.0%) missing valuesMissing
수요기관담당자부서명 has 2485 (100.0%) missing valuesMissing
수요기관담당자명 has 2485 (100.0%) missing valuesMissing
수요기관담당자전화번호 has 2485 (100.0%) missing valuesMissing
수요기관담당자이메일주소 has 2485 (100.0%) missing valuesMissing
대표업체대표자명 has 2439 (98.1%) missing valuesMissing
대표업체담당자명 has 2439 (98.1%) missing valuesMissing
대표업체사업자등록번호 has 2358 (94.9%) missing valuesMissing
대표업체주소 has 2439 (98.1%) missing valuesMissing
계약금액 is highly skewed (γ1 = 29.02125206)Skewed
계약정보URL is an unsupported type, check if it needs cleaning or further analysisUnsupported
수의계약사유 is an unsupported type, check if it needs cleaning or further analysisUnsupported
계약기관담당부서명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
계약기관담당자명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
계약기관담당자전화번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
계약기관담당자이메일주소 is an unsupported type, check if it needs cleaning or further analysisUnsupported
수요기관담당자부서명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
수요기관담당자명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
수요기관담당자전화번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
수요기관담당자이메일주소 is an unsupported type, check if it needs cleaning or further analysisUnsupported
계약차수 has 1424 (57.3%) zerosZeros

Reproduction

Analysis started2023-12-12 15:51:40.720430
Analysis finished2023-12-12 15:51:42.281687
Duration1.56 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct1864
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Memory size19.5 KiB
2023-12-13T00:51:42.434722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length9.5830986
Min length8

Characters and Unicode

Total characters23814
Distinct characters31
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1751 ?
Unique (%)70.5%

Sample

1st rowEE20201141
2nd rowEE20201143
3rd rowEE20201147
4th rowEE20201148
5th rowEE20201149
ValueCountFrequency (%)
2.02e+11 500
 
20.1%
4100046125 4
 
0.2%
4100045904 3
 
0.1%
4100044636 3
 
0.1%
4100044940 3
 
0.1%
4100044606 3
 
0.1%
4100043792 3
 
0.1%
4100044548 3
 
0.1%
4100044608 3
 
0.1%
4100044585 3
 
0.1%
Other values (1854) 1957
78.8%
2023-12-13T00:51:42.839765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6398
26.9%
2 3781
15.9%
1 3750
15.7%
4 1590
 
6.7%
E 1252
 
5.3%
9 1228
 
5.2%
A 961
 
4.0%
5 681
 
2.9%
3 578
 
2.4%
6 577
 
2.4%
Other values (21) 3018
12.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 19688
82.7%
Uppercase Letter 3123
 
13.1%
Math Symbol 500
 
2.1%
Other Punctuation 500
 
2.1%
Dash Punctuation 3
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
E 1252
40.1%
A 961
30.8%
S 356
 
11.4%
G 189
 
6.1%
D 110
 
3.5%
I 92
 
2.9%
H 46
 
1.5%
C 33
 
1.1%
F 27
 
0.9%
P 17
 
0.5%
Other values (8) 40
 
1.3%
Decimal Number
ValueCountFrequency (%)
0 6398
32.5%
2 3781
19.2%
1 3750
19.0%
4 1590
 
8.1%
9 1228
 
6.2%
5 681
 
3.5%
3 578
 
2.9%
6 577
 
2.9%
7 562
 
2.9%
8 543
 
2.8%
Math Symbol
ValueCountFrequency (%)
+ 500
100.0%
Other Punctuation
ValueCountFrequency (%)
. 500
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 20691
86.9%
Latin 3123
 
13.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
E 1252
40.1%
A 961
30.8%
S 356
 
11.4%
G 189
 
6.1%
D 110
 
3.5%
I 92
 
2.9%
H 46
 
1.5%
C 33
 
1.1%
F 27
 
0.9%
P 17
 
0.5%
Other values (8) 40
 
1.3%
Common
ValueCountFrequency (%)
0 6398
30.9%
2 3781
18.3%
1 3750
18.1%
4 1590
 
7.7%
9 1228
 
5.9%
5 681
 
3.3%
3 578
 
2.8%
6 577
 
2.8%
7 562
 
2.7%
8 543
 
2.6%
Other values (3) 1003
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 23814
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6398
26.9%
2 3781
15.9%
1 3750
15.7%
4 1590
 
6.7%
E 1252
 
5.3%
9 1228
 
5.2%
A 961
 
4.0%
5 681
 
2.9%
3 578
 
2.4%
6 577
 
2.4%
Other values (21) 3018
12.7%

통합계약번호
Real number (ℝ)

MISSING 

Distinct47
Distinct (%)8.6%
Missing1939
Missing (%)78.0%
Infinite0
Infinite (%)0.0%
Mean1.8668359 × 1011
Minimum2.0200804 × 1010
Maximum2.02 × 1011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2023-12-13T00:51:43.018618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0200804 × 1010
5-th percentile2.0200828 × 1010
Q12.02 × 1011
median2.02 × 1011
Q32.02 × 1011
95-th percentile2.02 × 1011
Maximum2.02 × 1011
Range1.817992 × 1011
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.0543029 × 1010
Coefficient of variation (CV)0.27074169
Kurtosis7.0368088
Mean1.8668359 × 1011
Median Absolute Deviation (MAD)0
Skewness-3.0018405
Sum1.0192924 × 1014
Variance2.5545977 × 1021
MonotonicityNot monotonic
2023-12-13T00:51:43.193507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
202000000000 500
 
20.1%
20200819902 1
 
< 0.1%
20200806905 1
 
< 0.1%
20200806906 1
 
< 0.1%
20200810902 1
 
< 0.1%
20200810903 1
 
< 0.1%
20200811902 1
 
< 0.1%
20200813902 1
 
< 0.1%
20200813903 1
 
< 0.1%
20200818902 1
 
< 0.1%
Other values (37) 37
 
1.5%
(Missing) 1939
78.0%
ValueCountFrequency (%)
20200803902 1
< 0.1%
20200804902 1
< 0.1%
20200806902 1
< 0.1%
20200806903 1
< 0.1%
20200806904 1
< 0.1%
20200806905 1
< 0.1%
20200806906 1
< 0.1%
20200810902 1
< 0.1%
20200810903 1
< 0.1%
20200811902 1
< 0.1%
ValueCountFrequency (%)
202000000000 500
20.1%
20200828903 1
 
< 0.1%
20200828902 1
 
< 0.1%
20200827918 1
 
< 0.1%
20200827917 1
 
< 0.1%
20200827916 1
 
< 0.1%
20200827915 1
 
< 0.1%
20200827914 1
 
< 0.1%
20200827913 1
 
< 0.1%
20200827912 1
 
< 0.1%

계약차수
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.50462777
Minimum0
Maximum5
Zeros1424
Zeros (%)57.3%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2023-12-13T00:51:43.340503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6831291
Coefficient of variation (CV)1.3537287
Kurtosis5.9091702
Mean0.50462777
Median Absolute Deviation (MAD)0
Skewness1.7994219
Sum1254
Variance0.46666537
MonotonicityNot monotonic
2023-12-13T00:51:43.487741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 1424
57.3%
1 920
37.0%
2 108
 
4.3%
3 19
 
0.8%
4 9
 
0.4%
5 5
 
0.2%
ValueCountFrequency (%)
0 1424
57.3%
1 920
37.0%
2 108
 
4.3%
3 19
 
0.8%
4 9
 
0.4%
5 5
 
0.2%
ValueCountFrequency (%)
5 5
 
0.2%
4 9
 
0.4%
3 19
 
0.8%
2 108
 
4.3%
1 920
37.0%
0 1424
57.3%
Distinct2241
Distinct (%)90.2%
Missing0
Missing (%)0.0%
Memory size19.5 KiB
2023-12-13T00:51:43.862700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length94
Median length56
Mean length24.687726
Min length3

Characters and Unicode

Total characters61349
Distinct characters740
Distinct categories15 ?
Distinct scripts4 ?
Distinct blocks9 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2076 ?
Unique (%)83.5%

Sample

1st row돌봄서비스 AI학습용 딥러닝 서버
2nd rowGPU 외 3건
3rd rowField Cable 외 5건
4th row광수신부품 광정렬 지원용 레이저 광원 모듈
5th row화재시뮬레이션시스템업그레이드물품류(CPU,Mainboard,기타) 외 40건
ValueCountFrequency (%)
구매 448
 
3.5%
317
 
2.5%
용역 294
 
2.3%
203
 
1.6%
제작 109
 
0.8%
2019년 94
 
0.7%
2017년도 93
 
0.7%
위한 92
 
0.7%
2019 75
 
0.6%
개발 72
 
0.6%
Other values (5104) 11041
86.0%
2023-12-13T00:51:44.402527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10371
 
16.9%
1157
 
1.9%
1109
 
1.8%
1019
 
1.7%
1 978
 
1.6%
2 959
 
1.6%
0 919
 
1.5%
883
 
1.4%
732
 
1.2%
( 719
 
1.2%
Other values (730) 42503
69.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 38170
62.2%
Space Separator 10371
 
16.9%
Uppercase Letter 4254
 
6.9%
Decimal Number 4151
 
6.8%
Lowercase Letter 2192
 
3.6%
Open Punctuation 748
 
1.2%
Close Punctuation 747
 
1.2%
Other Punctuation 443
 
0.7%
Dash Punctuation 194
 
0.3%
Math Symbol 49
 
0.1%
Other values (5) 30
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1157
 
3.0%
1109
 
2.9%
1019
 
2.7%
883
 
2.3%
732
 
1.9%
699
 
1.8%
668
 
1.8%
605
 
1.6%
570
 
1.5%
554
 
1.5%
Other values (631) 30174
79.1%
Lowercase Letter
ValueCountFrequency (%)
e 271
12.4%
o 201
 
9.2%
r 195
 
8.9%
i 192
 
8.8%
a 174
 
7.9%
n 168
 
7.7%
t 162
 
7.4%
l 108
 
4.9%
s 95
 
4.3%
u 87
 
4.0%
Other values (17) 539
24.6%
Uppercase Letter
ValueCountFrequency (%)
S 384
 
9.0%
C 327
 
7.7%
A 313
 
7.4%
P 262
 
6.2%
E 258
 
6.1%
R 247
 
5.8%
O 244
 
5.7%
T 239
 
5.6%
I 231
 
5.4%
G 194
 
4.6%
Other values (16) 1555
36.6%
Decimal Number
ValueCountFrequency (%)
1 978
23.6%
2 959
23.1%
0 919
22.1%
9 286
 
6.9%
3 226
 
5.4%
7 224
 
5.4%
4 155
 
3.7%
8 149
 
3.6%
5 142
 
3.4%
6 113
 
2.7%
Other Punctuation
ValueCountFrequency (%)
, 188
42.4%
/ 139
31.4%
. 63
 
14.2%
· 27
 
6.1%
& 7
 
1.6%
: 6
 
1.4%
' 5
 
1.1%
? 3
 
0.7%
* 3
 
0.7%
@ 2
 
0.5%
Math Symbol
ValueCountFrequency (%)
~ 35
71.4%
+ 6
 
12.2%
= 3
 
6.1%
2
 
4.1%
× 2
 
4.1%
1
 
2.0%
Other Symbol
ValueCountFrequency (%)
4
50.0%
° 1
 
12.5%
1
 
12.5%
1
 
12.5%
1
 
12.5%
Open Punctuation
ValueCountFrequency (%)
( 719
96.1%
[ 22
 
2.9%
5
 
0.7%
2
 
0.3%
Close Punctuation
ValueCountFrequency (%)
) 718
96.1%
] 22
 
2.9%
5
 
0.7%
2
 
0.3%
Initial Punctuation
ValueCountFrequency (%)
1
50.0%
1
50.0%
Space Separator
ValueCountFrequency (%)
10371
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 194
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 15
100.0%
Final Punctuation
ValueCountFrequency (%)
3
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 38167
62.2%
Common 16733
27.3%
Latin 6445
 
10.5%
Han 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1157
 
3.0%
1109
 
2.9%
1019
 
2.7%
883
 
2.3%
732
 
1.9%
699
 
1.8%
668
 
1.8%
605
 
1.6%
570
 
1.5%
554
 
1.5%
Other values (628) 30171
79.0%
Latin
ValueCountFrequency (%)
S 384
 
6.0%
C 327
 
5.1%
A 313
 
4.9%
e 271
 
4.2%
P 262
 
4.1%
E 258
 
4.0%
R 247
 
3.8%
O 244
 
3.8%
T 239
 
3.7%
I 231
 
3.6%
Other values (42) 3669
56.9%
Common
ValueCountFrequency (%)
10371
62.0%
1 978
 
5.8%
2 959
 
5.7%
0 919
 
5.5%
( 719
 
4.3%
) 718
 
4.3%
9 286
 
1.7%
3 226
 
1.4%
7 224
 
1.3%
- 194
 
1.2%
Other values (36) 1139
 
6.8%
Han
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 38164
62.2%
ASCII 23119
37.7%
None 45
 
0.1%
CJK Compat 5
 
< 0.1%
Punctuation 5
 
< 0.1%
CJK 4
 
< 0.1%
Math Operators 3
 
< 0.1%
Compat Jamo 2
 
< 0.1%
Letterlike Symbols 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10371
44.9%
1 978
 
4.2%
2 959
 
4.1%
0 919
 
4.0%
( 719
 
3.1%
) 718
 
3.1%
S 384
 
1.7%
C 327
 
1.4%
A 313
 
1.4%
9 286
 
1.2%
Other values (72) 7145
30.9%
Hangul
ValueCountFrequency (%)
1157
 
3.0%
1109
 
2.9%
1019
 
2.7%
883
 
2.3%
732
 
1.9%
699
 
1.8%
668
 
1.8%
605
 
1.6%
570
 
1.5%
554
 
1.5%
Other values (626) 30168
79.0%
None
ValueCountFrequency (%)
· 27
60.0%
5
 
11.1%
5
 
11.1%
2
 
4.4%
× 2
 
4.4%
2
 
4.4%
° 1
 
2.2%
1
 
2.2%
CJK Compat
ValueCountFrequency (%)
4
80.0%
1
 
20.0%
Punctuation
ValueCountFrequency (%)
3
60.0%
1
 
20.0%
1
 
20.0%
Math Operators
ValueCountFrequency (%)
2
66.7%
1
33.3%
Compat Jamo
ValueCountFrequency (%)
2
100.0%
CJK
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%
Letterlike Symbols
ValueCountFrequency (%)
1
50.0%
1
50.0%

업무구분명
Categorical

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size19.5 KiB
물품
1218 
용역
932 
공사
281 
외자
 
54

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 1218
49.0%
용역 932
37.5%
공사 281
 
11.3%
외자 54
 
2.2%

Length

2023-12-13T00:51:44.571539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:51:44.692940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
물품 1218
49.0%
용역 932
37.5%
공사 281
 
11.3%
외자 54
 
2.2%

계약체결형태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.5 KiB
총액계약
2076 
제3자단가계약
366 
단가계약
 
43

Length

Max length7
Median length4
Mean length4.4418511
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
총액계약 2076
83.5%
제3자단가계약 366
 
14.7%
단가계약 43
 
1.7%

Length

2023-12-13T00:51:44.844960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:51:44.975666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
총액계약 2076
83.5%
제3자단가계약 366
 
14.7%
단가계약 43
 
1.7%
Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size19.5 KiB
수의계약
1240 
일반경쟁
774 
제한경쟁
427 
지명경쟁
 
44

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
수의계약 1240
49.9%
일반경쟁 774
31.1%
제한경쟁 427
 
17.2%
지명경쟁 44
 
1.8%

Length

2023-12-13T00:51:45.112753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:51:45.300450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수의계약 1240
49.9%
일반경쟁 774
31.1%
제한경쟁 427
 
17.2%
지명경쟁 44
 
1.8%

장기계속구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.5 KiB
<NA>
2439 
장기계속계약
 
46

Length

Max length6
Median length4
Mean length4.0370221
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> 2439
98.1%
장기계속계약 46
 
1.9%

Length

2023-12-13T00:51:45.491108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:51:45.630280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2439
98.1%
장기계속계약 46
 
1.9%

공동계약여부
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.5 KiB
2439 
N
 
44
Y
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2439
98.1%
N 44
 
1.8%
Y 2
 
0.1%

Length

2023-12-13T00:51:45.736815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:51:45.854325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
n 44
95.7%
y 2
 
4.3%
Distinct535
Distinct (%)21.5%
Missing0
Missing (%)0.0%
Memory size19.5 KiB
Minimum2017-01-01 00:00:00
Maximum2020-09-29 00:00:00
2023-12-13T00:51:46.003273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:51:46.180319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct1317
Distinct (%)53.0%
Missing0
Missing (%)0.0%
Memory size19.5 KiB
2023-12-13T00:51:46.555572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length17
Mean length12.177062
Min length1

Characters and Unicode

Total characters30260
Distinct characters20
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1003 ?
Unique (%)40.4%

Sample

1st row계약일로부터 46일
2nd row계약일로부터 35일
3rd row계약일로부터 15일
4th row계약일로부터 28일
5th row계약일로부터 14일
ValueCountFrequency (%)
546
 
13.4%
계약일로부터 500
 
12.3%
2017-12-31 84
 
2.1%
2017-01-01 74
 
1.8%
2018-01-01 51
 
1.3%
2018-12-31 48
 
1.2%
30 47
 
1.2%
15 45
 
1.1%
30일 35
 
0.9%
29일 33
 
0.8%
Other values (1263) 2614
64.1%
2023-12-13T00:51:47.131343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5303
17.5%
1 5029
16.6%
2 4269
14.1%
- 2199
7.3%
1592
 
5.3%
9 1518
 
5.0%
1358
 
4.5%
7 1280
 
4.2%
~ 1127
 
3.7%
3 1100
 
3.6%
Other values (10) 5485
18.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 21160
69.9%
Other Letter 3858
 
12.7%
Dash Punctuation 2199
 
7.3%
Space Separator 1592
 
5.3%
Math Symbol 1127
 
3.7%
Other Punctuation 324
 
1.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5303
25.1%
1 5029
23.8%
2 4269
20.2%
9 1518
 
7.2%
7 1280
 
6.0%
3 1100
 
5.2%
8 780
 
3.7%
6 710
 
3.4%
5 592
 
2.8%
4 579
 
2.7%
Other Letter
ValueCountFrequency (%)
1358
35.2%
500
 
13.0%
500
 
13.0%
500
 
13.0%
500
 
13.0%
500
 
13.0%
Dash Punctuation
ValueCountFrequency (%)
- 2199
100.0%
Space Separator
ValueCountFrequency (%)
1592
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1127
100.0%
Other Punctuation
ValueCountFrequency (%)
. 324
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 26402
87.3%
Hangul 3858
 
12.7%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5303
20.1%
1 5029
19.0%
2 4269
16.2%
- 2199
8.3%
1592
 
6.0%
9 1518
 
5.7%
7 1280
 
4.8%
~ 1127
 
4.3%
3 1100
 
4.2%
8 780
 
3.0%
Other values (4) 2205
8.4%
Hangul
ValueCountFrequency (%)
1358
35.2%
500
 
13.0%
500
 
13.0%
500
 
13.0%
500
 
13.0%
500
 
13.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 26402
87.3%
Hangul 3858
 
12.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5303
20.1%
1 5029
19.0%
2 4269
16.2%
- 2199
8.3%
1592
 
6.0%
9 1518
 
5.7%
7 1280
 
4.8%
~ 1127
 
4.3%
3 1100
 
4.2%
8 780
 
3.0%
Other values (4) 2205
8.4%
Hangul
ValueCountFrequency (%)
1358
35.2%
500
 
13.0%
500
 
13.0%
500
 
13.0%
500
 
13.0%
500
 
13.0%

계약금액
Real number (ℝ)

SKEWED 

Distinct2199
Distinct (%)88.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.9705641 × 108
Minimum396
Maximum2.22 × 1011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2023-12-13T00:51:47.297617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum396
5-th percentile289482.4
Q16710000
median20540000
Q384480000
95-th percentile1.0066722 × 109
Maximum2.22 × 1011
Range2.22 × 1011
Interquartile range (IQR)77770000

Descriptive statistics

Standard deviation5.4625747 × 109
Coefficient of variation (CV)9.1491769
Kurtosis1104.0408
Mean5.9705641 × 108
Median Absolute Deviation (MAD)18050000
Skewness29.021252
Sum1.4836852 × 1012
Variance2.9839722 × 1019
MonotonicityNot monotonic
2023-12-13T00:51:47.480425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9900000 16
 
0.6%
20000000 11
 
0.4%
10450000 8
 
0.3%
10230000 7
 
0.3%
5500000 6
 
0.2%
11000000 6
 
0.2%
3960000 5
 
0.2%
10560000 5
 
0.2%
37000000 4
 
0.2%
1650000 4
 
0.2%
Other values (2189) 2413
97.1%
ValueCountFrequency (%)
396 1
< 0.1%
430 1
< 0.1%
820 1
< 0.1%
1233 1
< 0.1%
1280 1
< 0.1%
2220 1
< 0.1%
2358 1
< 0.1%
2940 1
< 0.1%
3485 1
< 0.1%
5331 1
< 0.1%
ValueCountFrequency (%)
222000000000 1
< 0.1%
67888700000 1
< 0.1%
45166680000 1
< 0.1%
42479800000 1
< 0.1%
38992800000 1
< 0.1%
34698207957 1
< 0.1%
31952800000 1
< 0.1%
31680000000 1
< 0.1%
31653600000 1
< 0.1%
30217067551 1
< 0.1%

총계약금액
Real number (ℝ)

MISSING 

Distinct46
Distinct (%)100.0%
Missing2439
Missing (%)98.1%
Infinite0
Infinite (%)0.0%
Mean4.1336425 × 108
Minimum2220
Maximum1.13334 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2023-12-13T00:51:47.742004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2220
5-th percentile13937.5
Q1300679
median45827600
Q31.3758522 × 108
95-th percentile8.8523775 × 108
Maximum1.13334 × 1010
Range1.1333398 × 1010
Interquartile range (IQR)1.3728455 × 108

Descriptive statistics

Standard deviation1.6938735 × 109
Coefficient of variation (CV)4.0977746
Kurtosis40.708161
Mean4.1336425 × 108
Median Absolute Deviation (MAD)45785155
Skewness6.2568482
Sum1.9014755 × 1010
Variance2.8692075 × 1018
MonotonicityNot monotonic
2023-12-13T00:51:47.957634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
55000000 1
 
< 0.1%
60200000 1
 
< 0.1%
33116500 1
 
< 0.1%
119796135 1
 
< 0.1%
33278608 1
 
< 0.1%
48336000 1
 
< 0.1%
343360000 1
 
< 0.1%
54212400 1
 
< 0.1%
2730000 1
 
< 0.1%
83219400 1
 
< 0.1%
Other values (36) 36
 
1.4%
(Missing) 2439
98.1%
ValueCountFrequency (%)
2220 1
< 0.1%
3485 1
< 0.1%
7000 1
< 0.1%
34750 1
< 0.1%
36450 1
< 0.1%
42000 1
< 0.1%
42890 1
< 0.1%
107000 1
< 0.1%
179180 1
< 0.1%
201400 1
< 0.1%
ValueCountFrequency (%)
11333400000 1
< 0.1%
2456614000 1
< 0.1%
948057000 1
< 0.1%
696780000 1
< 0.1%
655512000 1
< 0.1%
522500000 1
< 0.1%
343360000 1
< 0.1%
258779000 1
< 0.1%
210000000 1
< 0.1%
208739338 1
< 0.1%

계약정보URL
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2485
Missing (%)100.0%
Memory size22.0 KiB

입찰공고번호
Real number (ℝ)

MISSING 

Distinct33
Distinct (%)71.7%
Missing2439
Missing (%)98.1%
Infinite0
Infinite (%)0.0%
Mean2.0200792 × 1011
Minimum2.0200619 × 1011
Maximum2.0200828 × 1011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2023-12-13T00:51:48.135518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0200619 × 1011
5-th percentile2.0200716 × 1011
Q12.0200805 × 1011
median2.0200816 × 1011
Q32.0200819 × 1011
95-th percentile2.0200821 × 1011
Maximum2.0200828 × 1011
Range2090001
Interquartile range (IQR)136377.75

Descriptive statistics

Standard deviation466856.51
Coefficient of variation (CV)2.3110802 × 10-6
Kurtosis2.8776008
Mean2.0200792 × 1011
Median Absolute Deviation (MAD)30997.5
Skewness-1.7844421
Sum9.2923643 × 1012
Variance2.17955 × 1011
MonotonicityNot monotonic
2023-12-13T00:51:48.279257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
202008190103 7
 
0.3%
202008190104 5
 
0.2%
202008190106 4
 
0.2%
202008280101 1
 
< 0.1%
202008141603 1
 
< 0.1%
202008060102 1
 
< 0.1%
202007311603 1
 
< 0.1%
202008060201 1
 
< 0.1%
202007210204 1
 
< 0.1%
202007090102 1
 
< 0.1%
Other values (23) 23
 
0.9%
(Missing) 2439
98.1%
ValueCountFrequency (%)
202006190101 1
< 0.1%
202007090102 1
< 0.1%
202007140203 1
< 0.1%
202007210203 1
< 0.1%
202007210204 1
< 0.1%
202007240203 1
< 0.1%
202007305601 1
< 0.1%
202007310104 1
< 0.1%
202007310105 1
< 0.1%
202007311603 1
< 0.1%
ValueCountFrequency (%)
202008280102 1
 
< 0.1%
202008280101 1
 
< 0.1%
202008210101 1
 
< 0.1%
202008200101 1
 
< 0.1%
202008190106 4
0.2%
202008190105 1
 
< 0.1%
202008190104 5
0.2%
202008190103 7
0.3%
202008190101 1
 
< 0.1%
202008185607 1
 
< 0.1%

입찰공고차수
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.5 KiB
<NA>
2439 
0
 
43
1
 
3

Length

Max length4
Median length4
Mean length3.9444668
Min length1

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> 2439
98.1%
0 43
 
1.7%
1 3
 
0.1%

Length

2023-12-13T00:51:48.461175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:51:48.593647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2439
98.1%
0 43
 
1.7%
1 3
 
0.1%

입찰공고명
Text

MISSING 

Distinct33
Distinct (%)71.7%
Missing2439
Missing (%)98.1%
Memory size19.5 KiB
2023-12-13T00:51:48.953477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length36.5
Mean length27
Min length13

Characters and Unicode

Total characters1242
Distinct characters206
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)65.2%

Sample

1st row2020년 9월 사용 식자재 수산물(냉장) 단가계약
2nd row2020년 9월 사용 식자재 수산물(냉장) 단가계약
3rd row2020년 9월 사용 식자재 수산물(냉장) 단가계약
4th row2020년 9월 사용 식자재 수산물(활어) 단가계약
5th row2020년 9월 사용 식자재 공산품(추가) 단가계약
ValueCountFrequency (%)
2020년 20
 
8.1%
9월 17
 
6.9%
사용 17
 
6.9%
식자재 17
 
6.9%
단가계약 17
 
6.9%
구매(긴급 10
 
4.0%
농산물(일반 7
 
2.8%
7
 
2.8%
공산품(추가 5
 
2.0%
수산물(냉장 4
 
1.6%
Other values (109) 126
51.0%
2023-12-13T00:51:49.530657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
201
 
16.2%
( 49
 
3.9%
) 49
 
3.9%
2 47
 
3.8%
0 44
 
3.5%
29
 
2.3%
28
 
2.3%
28
 
2.3%
26
 
2.1%
25
 
2.0%
Other values (196) 716
57.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 796
64.1%
Space Separator 201
 
16.2%
Decimal Number 109
 
8.8%
Open Punctuation 49
 
3.9%
Close Punctuation 49
 
3.9%
Uppercase Letter 25
 
2.0%
Other Punctuation 8
 
0.6%
Lowercase Letter 2
 
0.2%
Math Symbol 1
 
0.1%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
29
 
3.6%
28
 
3.5%
28
 
3.5%
26
 
3.3%
25
 
3.1%
24
 
3.0%
22
 
2.8%
22
 
2.8%
21
 
2.6%
20
 
2.5%
Other values (166) 551
69.2%
Uppercase Letter
ValueCountFrequency (%)
C 3
12.0%
E 3
12.0%
D 3
12.0%
L 2
 
8.0%
X 2
 
8.0%
P 2
 
8.0%
R 2
 
8.0%
M 1
 
4.0%
I 1
 
4.0%
F 1
 
4.0%
Other values (5) 5
20.0%
Decimal Number
ValueCountFrequency (%)
2 47
43.1%
0 44
40.4%
9 17
 
15.6%
1 1
 
0.9%
Other Punctuation
ValueCountFrequency (%)
· 4
50.0%
, 3
37.5%
/ 1
 
12.5%
Lowercase Letter
ValueCountFrequency (%)
y 1
50.0%
a 1
50.0%
Space Separator
ValueCountFrequency (%)
201
100.0%
Open Punctuation
ValueCountFrequency (%)
( 49
100.0%
Close Punctuation
ValueCountFrequency (%)
) 49
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 796
64.1%
Common 419
33.7%
Latin 27
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
29
 
3.6%
28
 
3.5%
28
 
3.5%
26
 
3.3%
25
 
3.1%
24
 
3.0%
22
 
2.8%
22
 
2.8%
21
 
2.6%
20
 
2.5%
Other values (166) 551
69.2%
Latin
ValueCountFrequency (%)
C 3
11.1%
E 3
11.1%
D 3
11.1%
L 2
 
7.4%
X 2
 
7.4%
P 2
 
7.4%
R 2
 
7.4%
M 1
 
3.7%
y 1
 
3.7%
a 1
 
3.7%
Other values (7) 7
25.9%
Common
ValueCountFrequency (%)
201
48.0%
( 49
 
11.7%
) 49
 
11.7%
2 47
 
11.2%
0 44
 
10.5%
9 17
 
4.1%
· 4
 
1.0%
, 3
 
0.7%
~ 1
 
0.2%
- 1
 
0.2%
Other values (3) 3
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 796
64.1%
ASCII 442
35.6%
None 4
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
201
45.5%
( 49
 
11.1%
) 49
 
11.1%
2 47
 
10.6%
0 44
 
10.0%
9 17
 
3.8%
C 3
 
0.7%
E 3
 
0.7%
D 3
 
0.7%
, 3
 
0.7%
Other values (19) 23
 
5.2%
Hangul
ValueCountFrequency (%)
29
 
3.6%
28
 
3.5%
28
 
3.5%
26
 
3.3%
25
 
3.1%
24
 
3.0%
22
 
2.8%
22
 
2.8%
21
 
2.6%
20
 
2.5%
Other values (166) 551
69.2%
None
ValueCountFrequency (%)
· 4
100.0%

개찰일자
Date

MISSING 

Distinct15
Distinct (%)32.6%
Missing2439
Missing (%)98.1%
Memory size19.5 KiB
Minimum2020-07-23 00:00:00
Maximum2020-08-28 00:00:00
2023-12-13T00:51:49.983386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:51:50.108431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)

개찰시각
Date

MISSING 

Distinct9
Distinct (%)19.6%
Missing2439
Missing (%)98.1%
Memory size19.5 KiB
Minimum2023-12-13 13:10:00
Maximum2023-12-13 17:40:00
2023-12-13T00:51:50.242625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:51:50.369833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)

예정가격
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)100.0%
Missing2456
Missing (%)98.8%
Infinite0
Infinite (%)0.0%
Mean6.8862932 × 108
Minimum2732275
Maximum1.1336277 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2023-12-13T00:51:50.512715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2732275
5-th percentile28273326
Q157807633
median1.1589881 × 108
Q33.2142932 × 108
95-th percentile2.1446624 × 109
Maximum1.1336277 × 1010
Range1.1333544 × 1010
Interquartile range (IQR)2.6362168 × 108

Descriptive statistics

Standard deviation2.1233296 × 109
Coefficient of variation (CV)3.0834144
Kurtosis24.699058
Mean6.8862932 × 108
Median Absolute Deviation (MAD)78103833
Skewness4.8641278
Sum1.997025 × 1010
Variance4.5085284 × 1018
MonotonicityNot monotonic
2023-12-13T00:51:50.637690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
107900000 1
 
< 0.1%
523951230 1
 
< 0.1%
65667561 1
 
< 0.1%
11336276694 1
 
< 0.1%
108581779 1
 
< 0.1%
668082154 1
 
< 0.1%
33538682 1
 
< 0.1%
148366461 1
 
< 0.1%
115898813 1
 
< 0.1%
211000000 1
 
< 0.1%
Other values (19) 19
 
0.8%
(Missing) 2456
98.8%
ValueCountFrequency (%)
2732275 1
< 0.1%
24763089 1
< 0.1%
33538682 1
< 0.1%
37260685 1
< 0.1%
37794980 1
< 0.1%
49170033 1
< 0.1%
54685962 1
< 0.1%
57807633 1
< 0.1%
61453868 1
< 0.1%
62455605 1
< 0.1%
ValueCountFrequency (%)
11336276694 1
< 0.1%
2935815139 1
< 0.1%
957933200 1
< 0.1%
813024374 1
< 0.1%
668082154 1
< 0.1%
523951230 1
< 0.1%
429984488 1
< 0.1%
321429317 1
< 0.1%
259233778 1
< 0.1%
211000000 1
< 0.1%

수의계약사유
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2485
Missing (%)100.0%
Memory size22.0 KiB

입찰공고URL
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.5 KiB
<NA>
2439 
https://ebd.high1.co.kr:444/preopen/UunitMenu02.jsp
 
46

Length

Max length51
Median length4
Mean length4.8700201
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> 2439
98.1%
https://ebd.high1.co.kr:444/preopen/UunitMenu02.jsp 46
 
1.9%

Length

2023-12-13T00:51:50.813934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:51:50.943866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2439
98.1%
https://ebd.high1.co.kr:444/preopen/uunitmenu02.jsp 46
 
1.9%
Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size19.5 KiB
공기업
1297 
기타공공기관
500 
지자체
500 
국가기관
188 

Length

Max length6
Median length3
Mean length3.6792757
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공기업 1297
52.2%
기타공공기관 500
 
20.1%
지자체 500
 
20.1%
국가기관 188
 
7.6%

Length

2023-12-13T00:51:51.198935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:51:51.373259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공기업 1297
52.2%
기타공공기관 500
 
20.1%
지자체 500
 
20.1%
국가기관 188
 
7.6%

계약기관명
Categorical

Distinct14
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size19.5 KiB
한국전자통신연구원
500 
부산 남구
500 
한국석유공사
500 
한국가스공사
358 
한국수력원자력㈜
312 
Other values (9)
315 

Length

Max length9
Median length8
Mean length6.6820926
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
한국전자통신연구원 500
20.1%
부산 남구 500
20.1%
한국석유공사 500
20.1%
한국가스공사 358
14.4%
한국수력원자력㈜ 312
12.6%
부산지방조달청 124
 
5.0%
한전KDN 81
 
3.3%
강원랜드 46
 
1.9%
조달청(대구지청) 27
 
1.1%
강원지방조달청 24
 
1.0%
Other values (4) 13
 
0.5%

Length

2023-12-13T00:51:51.542479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
한국전자통신연구원 500
16.7%
부산 500
16.7%
남구 500
16.7%
한국석유공사 500
16.7%
한국가스공사 358
12.0%
한국수력원자력㈜ 312
10.4%
부산지방조달청 124
 
4.2%
한전kdn 81
 
2.7%
강원랜드 46
 
1.5%
조달청(대구지청 27
 
0.9%
Other values (6) 39
 
1.3%
Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.5 KiB
<NA>
1939 
3310000
500 
Z003620
 
46

Length

Max length7
Median length4
Mean length4.6591549
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> 1939
78.0%
3310000 500
 
20.1%
Z003620 46
 
1.9%

Length

2023-12-13T00:51:51.719894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:51:51.851218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1939
78.0%
3310000 500
 
20.1%
z003620 46
 
1.9%

계약기관담당부서명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2485
Missing (%)100.0%
Memory size22.0 KiB

계약기관담당자명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2485
Missing (%)100.0%
Memory size22.0 KiB

계약기관담당자전화번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2485
Missing (%)100.0%
Memory size22.0 KiB

계약기관담당자이메일주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2485
Missing (%)100.0%
Memory size22.0 KiB
Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.5 KiB
공기업
1485 
기타공공기관
500 
지자체
500 

Length

Max length6
Median length3
Mean length3.6036217
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공기업 1485
59.8%
기타공공기관 500
 
20.1%
지자체 500
 
20.1%

Length

2023-12-13T00:51:51.992284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:51:52.137925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공기업 1485
59.8%
기타공공기관 500
 
20.1%
지자체 500
 
20.1%

수요기관명
Categorical

Distinct7
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size19.5 KiB
한국전자통신연구원
500 
한국수력원자력㈜
500 
부산광역시 남구
500 
한국석유공사
500 
한국가스공사
358 
Other values (2)
127 

Length

Max length9
Median length8
Mean length7.338833
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
한국전자통신연구원 500
20.1%
한국수력원자력㈜ 500
20.1%
부산광역시 남구 500
20.1%
한국석유공사 500
20.1%
한국가스공사 358
14.4%
한전KDN 81
 
3.3%
강원랜드 46
 
1.9%

Length

2023-12-13T00:51:52.310526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:51:52.461451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한국전자통신연구원 500
16.8%
한국수력원자력㈜ 500
16.8%
부산광역시 500
16.8%
남구 500
16.8%
한국석유공사 500
16.8%
한국가스공사 358
12.0%
한전kdn 81
 
2.7%
강원랜드 46
 
1.5%
Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.5 KiB
<NA>
1939 
3310000
500 
Z003620
 
46

Length

Max length7
Median length4
Mean length4.6591549
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> 1939
78.0%
3310000 500
 
20.1%
Z003620 46
 
1.9%

Length

2023-12-13T00:51:52.635026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:51:52.765297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1939
78.0%
3310000 500
 
20.1%
z003620 46
 
1.9%

수요기관담당자부서명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2485
Missing (%)100.0%
Memory size22.0 KiB

수요기관담당자명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2485
Missing (%)100.0%
Memory size22.0 KiB

수요기관담당자전화번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2485
Missing (%)100.0%
Memory size22.0 KiB

수요기관담당자이메일주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2485
Missing (%)100.0%
Memory size22.0 KiB
Distinct1509
Distinct (%)60.7%
Missing0
Missing (%)0.0%
Memory size19.5 KiB
2023-12-13T00:51:53.085206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length34
Mean length8.839839
Min length2

Characters and Unicode

Total characters21967
Distinct characters556
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1104 ?
Unique (%)44.4%

Sample

1st row에이치아이티
2nd row에이치아이티
3rd row에스오텍
4th row(주)에스엠텍
5th row신도대연OA
ValueCountFrequency (%)
주식회사 735
 
20.7%
부산지방조달청 125
 
3.5%
조달청(대구지청 27
 
0.8%
산학협력단 25
 
0.7%
강원지방조달청 24
 
0.7%
23
 
0.6%
너와커머스 22
 
0.6%
에이치아이티 21
 
0.6%
아이에스테크 21
 
0.6%
씨앤텍 16
 
0.5%
Other values (1624) 2504
70.7%
2023-12-13T00:51:53.565838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1576
 
7.2%
1065
 
4.8%
1018
 
4.6%
943
 
4.3%
841
 
3.8%
( 800
 
3.6%
) 793
 
3.6%
580
 
2.6%
512
 
2.3%
417
 
1.9%
Other values (546) 13422
61.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17581
80.0%
Space Separator 1065
 
4.8%
Lowercase Letter 898
 
4.1%
Open Punctuation 800
 
3.6%
Close Punctuation 798
 
3.6%
Uppercase Letter 709
 
3.2%
Other Punctuation 89
 
0.4%
Decimal Number 13
 
0.1%
Other Symbol 6
 
< 0.1%
Dash Punctuation 5
 
< 0.1%
Other values (2) 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1576
 
9.0%
1018
 
5.8%
943
 
5.4%
841
 
4.8%
580
 
3.3%
512
 
2.9%
417
 
2.4%
333
 
1.9%
300
 
1.7%
246
 
1.4%
Other values (477) 10815
61.5%
Uppercase Letter
ValueCountFrequency (%)
E 68
 
9.6%
C 65
 
9.2%
S 65
 
9.2%
R 50
 
7.1%
L 48
 
6.8%
O 45
 
6.3%
I 44
 
6.2%
T 41
 
5.8%
G 39
 
5.5%
M 38
 
5.4%
Other values (16) 206
29.1%
Lowercase Letter
ValueCountFrequency (%)
e 96
10.7%
n 94
10.5%
i 85
9.5%
o 80
 
8.9%
t 71
 
7.9%
a 64
 
7.1%
r 57
 
6.3%
c 49
 
5.5%
l 48
 
5.3%
s 46
 
5.1%
Other values (14) 208
23.2%
Other Punctuation
ValueCountFrequency (%)
. 49
55.1%
, 24
27.0%
& 11
 
12.4%
3
 
3.4%
: 1
 
1.1%
? 1
 
1.1%
Decimal Number
ValueCountFrequency (%)
1 5
38.5%
0 3
23.1%
4 3
23.1%
2 2
 
15.4%
Close Punctuation
ValueCountFrequency (%)
) 793
99.4%
5
 
0.6%
Other Symbol
ValueCountFrequency (%)
4
66.7%
2
33.3%
Space Separator
ValueCountFrequency (%)
1065
100.0%
Open Punctuation
ValueCountFrequency (%)
( 800
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17565
80.0%
Common 2775
 
12.6%
Latin 1607
 
7.3%
Han 20
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1576
 
9.0%
1018
 
5.8%
943
 
5.4%
841
 
4.8%
580
 
3.3%
512
 
2.9%
417
 
2.4%
333
 
1.9%
300
 
1.7%
246
 
1.4%
Other values (469) 10799
61.5%
Latin
ValueCountFrequency (%)
e 96
 
6.0%
n 94
 
5.8%
i 85
 
5.3%
o 80
 
5.0%
t 71
 
4.4%
E 68
 
4.2%
C 65
 
4.0%
S 65
 
4.0%
a 64
 
4.0%
r 57
 
3.5%
Other values (40) 862
53.6%
Common
ValueCountFrequency (%)
1065
38.4%
( 800
28.8%
) 793
28.6%
. 49
 
1.8%
, 24
 
0.9%
& 11
 
0.4%
- 5
 
0.2%
5
 
0.2%
1 5
 
0.2%
3
 
0.1%
Other values (8) 15
 
0.5%
Han
ValueCountFrequency (%)
3
15.0%
3
15.0%
3
15.0%
3
15.0%
3
15.0%
2
10.0%
1
 
5.0%
1
 
5.0%
1
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17561
79.9%
ASCII 4372
 
19.9%
CJK 20
 
0.1%
None 12
 
0.1%
Letterlike Symbols 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1576
 
9.0%
1018
 
5.8%
943
 
5.4%
841
 
4.8%
580
 
3.3%
512
 
2.9%
417
 
2.4%
333
 
1.9%
300
 
1.7%
246
 
1.4%
Other values (468) 10795
61.5%
ASCII
ValueCountFrequency (%)
1065
24.4%
( 800
18.3%
) 793
18.1%
e 96
 
2.2%
n 94
 
2.2%
i 85
 
1.9%
o 80
 
1.8%
t 71
 
1.6%
E 68
 
1.6%
C 65
 
1.5%
Other values (55) 1155
26.4%
None
ValueCountFrequency (%)
5
41.7%
4
33.3%
3
25.0%
CJK
ValueCountFrequency (%)
3
15.0%
3
15.0%
3
15.0%
3
15.0%
3
15.0%
2
10.0%
1
 
5.0%
1
 
5.0%
1
 
5.0%
Letterlike Symbols
ValueCountFrequency (%)
2
100.0%

국내업체여부
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.5 KiB
2439 
Y
 
46

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2439
98.1%
Y 46
 
1.9%

Length

2023-12-13T00:51:53.726462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:51:53.824828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
y 46
100.0%
Distinct37
Distinct (%)80.4%
Missing2439
Missing (%)98.1%
Memory size19.5 KiB
2023-12-13T00:51:54.011694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length3.173913
Min length3

Characters and Unicode

Total characters146
Distinct characters64
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)65.2%

Sample

1st row송승곤
2nd row박수조
3rd row임정이
4th row박수조
5th row박성율
ValueCountFrequency (%)
송승곤 3
 
6.5%
박수조 3
 
6.5%
정경희 2
 
4.3%
김월선 2
 
4.3%
유상옥 2
 
4.3%
강세진 2
 
4.3%
태은경 2
 
4.3%
서명현 1
 
2.2%
이명옥 1
 
2.2%
윤갑구 1
 
2.2%
Other values (27) 27
58.7%
2023-12-13T00:51:54.382522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7
 
4.8%
7
 
4.8%
7
 
4.8%
7
 
4.8%
6
 
4.1%
4
 
2.7%
4
 
2.7%
4
 
2.7%
4
 
2.7%
4
 
2.7%
Other values (54) 92
63.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 144
98.6%
Other Punctuation 2
 
1.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
7
 
4.9%
7
 
4.9%
7
 
4.9%
7
 
4.9%
6
 
4.2%
4
 
2.8%
4
 
2.8%
4
 
2.8%
4
 
2.8%
4
 
2.8%
Other values (53) 90
62.5%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 144
98.6%
Common 2
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
7
 
4.9%
7
 
4.9%
7
 
4.9%
7
 
4.9%
6
 
4.2%
4
 
2.8%
4
 
2.8%
4
 
2.8%
4
 
2.8%
4
 
2.8%
Other values (53) 90
62.5%
Common
ValueCountFrequency (%)
, 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 144
98.6%
ASCII 2
 
1.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
7
 
4.9%
7
 
4.9%
7
 
4.9%
7
 
4.9%
6
 
4.2%
4
 
2.8%
4
 
2.8%
4
 
2.8%
4
 
2.8%
4
 
2.8%
Other values (53) 90
62.5%
ASCII
ValueCountFrequency (%)
, 2
100.0%
Distinct37
Distinct (%)80.4%
Missing2439
Missing (%)98.1%
Memory size19.5 KiB
2023-12-13T00:51:54.664438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9347826
Min length2

Characters and Unicode

Total characters135
Distinct characters64
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)65.2%

Sample

1st row배혁
2nd row박선향
3rd row양경호
4th row박선향
5th row이선미
ValueCountFrequency (%)
배혁 3
 
6.5%
박선향 3
 
6.5%
정경희 2
 
4.3%
김월선 2
 
4.3%
유상옥 2
 
4.3%
강세진 2
 
4.3%
태은경 2
 
4.3%
이재성 1
 
2.2%
최인형 1
 
2.2%
최홍선 1
 
2.2%
Other values (27) 27
58.7%
2023-12-13T00:51:55.127551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7
 
5.2%
7
 
5.2%
7
 
5.2%
6
 
4.4%
6
 
4.4%
5
 
3.7%
5
 
3.7%
4
 
3.0%
4
 
3.0%
3
 
2.2%
Other values (54) 81
60.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 135
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
7
 
5.2%
7
 
5.2%
7
 
5.2%
6
 
4.4%
6
 
4.4%
5
 
3.7%
5
 
3.7%
4
 
3.0%
4
 
3.0%
3
 
2.2%
Other values (54) 81
60.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 135
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
7
 
5.2%
7
 
5.2%
7
 
5.2%
6
 
4.4%
6
 
4.4%
5
 
3.7%
5
 
3.7%
4
 
3.0%
4
 
3.0%
3
 
2.2%
Other values (54) 81
60.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 135
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
7
 
5.2%
7
 
5.2%
7
 
5.2%
6
 
4.4%
6
 
4.4%
5
 
3.7%
5
 
3.7%
4
 
3.0%
4
 
3.0%
3
 
2.2%
Other values (54) 81
60.0%
Distinct110
Distinct (%)86.6%
Missing2358
Missing (%)94.9%
Memory size19.5 KiB
2023-12-13T00:51:55.434075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters1524
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique96 ?
Unique (%)75.6%

Sample

1st row110-81-90166
2nd row616-81-54839
3rd row173-87-01481
4th row107-87-16255
5th row105-86-46120
ValueCountFrequency (%)
224-25-50773 3
 
2.4%
105-81-91993 3
 
2.4%
357-86-00593 3
 
2.4%
222-81-21415 2
 
1.6%
222-05-40567 2
 
1.6%
350-86-01102 2
 
1.6%
119-81-70814 2
 
1.6%
108-86-04492 2
 
1.6%
225-81-12220 2
 
1.6%
114-81-71399 2
 
1.6%
Other values (100) 104
81.9%
2023-12-13T00:51:55.891356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 254
16.7%
1 247
16.2%
8 188
12.3%
2 159
10.4%
0 143
9.4%
6 101
 
6.6%
4 100
 
6.6%
5 94
 
6.2%
3 89
 
5.8%
9 80
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1270
83.3%
Dash Punctuation 254
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 247
19.4%
8 188
14.8%
2 159
12.5%
0 143
11.3%
6 101
8.0%
4 100
7.9%
5 94
 
7.4%
3 89
 
7.0%
9 80
 
6.3%
7 69
 
5.4%
Dash Punctuation
ValueCountFrequency (%)
- 254
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1524
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 254
16.7%
1 247
16.2%
8 188
12.3%
2 159
10.4%
0 143
9.4%
6 101
 
6.6%
4 100
 
6.6%
5 94
 
6.2%
3 89
 
5.8%
9 80
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1524
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 254
16.7%
1 247
16.2%
8 188
12.3%
2 159
10.4%
0 143
9.4%
6 101
 
6.6%
4 100
 
6.6%
5 94
 
6.2%
3 89
 
5.8%
9 80
 
5.2%

대표업체주소
Text

MISSING 

Distinct37
Distinct (%)80.4%
Missing2439
Missing (%)98.1%
Memory size19.5 KiB
2023-12-13T00:51:56.214370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length46
Mean length35.73913
Min length22

Characters and Unicode

Total characters1644
Distinct characters187
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)65.2%

Sample

1st row26039 강원도 태백시 상장로 42 두루종합상사 (황지동)
2nd row26011 강원도 태백시 태백로 920 창성푸드 (황지동)
3rd row233833 강원 정선군 남면 무릉리 827
4th row26011 강원도 태백시 태백로 920 창성푸드 (황지동)
5th row235050 강원 태백시 통동 통리길 7
ValueCountFrequency (%)
강원도 22
 
6.6%
태백시 14
 
4.2%
황지동 10
 
3.0%
태백로 7
 
2.1%
정선군 6
 
1.8%
서울특별시 6
 
1.8%
강원 6
 
1.8%
26039 5
 
1.5%
경기도 5
 
1.5%
서울 4
 
1.2%
Other values (197) 247
74.4%
2023-12-13T00:51:56.766850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
294
 
17.9%
2 76
 
4.6%
1 71
 
4.3%
0 66
 
4.0%
3 46
 
2.8%
5 43
 
2.6%
43
 
2.6%
39
 
2.4%
39
 
2.4%
6 38
 
2.3%
Other values (177) 889
54.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 801
48.7%
Decimal Number 439
26.7%
Space Separator 294
 
17.9%
Close Punctuation 34
 
2.1%
Open Punctuation 34
 
2.1%
Other Punctuation 15
 
0.9%
Dash Punctuation 13
 
0.8%
Uppercase Letter 13
 
0.8%
Letter Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
43
 
5.4%
39
 
4.9%
39
 
4.9%
36
 
4.5%
35
 
4.4%
32
 
4.0%
25
 
3.1%
22
 
2.7%
18
 
2.2%
14
 
1.7%
Other values (152) 498
62.2%
Decimal Number
ValueCountFrequency (%)
2 76
17.3%
1 71
16.2%
0 66
15.0%
3 46
10.5%
5 43
9.8%
6 38
8.7%
4 30
 
6.8%
9 24
 
5.5%
7 23
 
5.2%
8 22
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
I 3
23.1%
A 3
23.1%
T 2
15.4%
N 1
 
7.7%
F 1
 
7.7%
C 1
 
7.7%
O 1
 
7.7%
E 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
, 14
93.3%
. 1
 
6.7%
Space Separator
ValueCountFrequency (%)
294
100.0%
Close Punctuation
ValueCountFrequency (%)
) 34
100.0%
Open Punctuation
ValueCountFrequency (%)
( 34
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Letter Number
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 829
50.4%
Hangul 801
48.7%
Latin 14
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
43
 
5.4%
39
 
4.9%
39
 
4.9%
36
 
4.5%
35
 
4.4%
32
 
4.0%
25
 
3.1%
22
 
2.7%
18
 
2.2%
14
 
1.7%
Other values (152) 498
62.2%
Common
ValueCountFrequency (%)
294
35.5%
2 76
 
9.2%
1 71
 
8.6%
0 66
 
8.0%
3 46
 
5.5%
5 43
 
5.2%
6 38
 
4.6%
) 34
 
4.1%
( 34
 
4.1%
4 30
 
3.6%
Other values (6) 97
 
11.7%
Latin
ValueCountFrequency (%)
I 3
21.4%
A 3
21.4%
T 2
14.3%
N 1
 
7.1%
F 1
 
7.1%
C 1
 
7.1%
O 1
 
7.1%
E 1
 
7.1%
1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 842
51.2%
Hangul 801
48.7%
Number Forms 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
294
34.9%
2 76
 
9.0%
1 71
 
8.4%
0 66
 
7.8%
3 46
 
5.5%
5 43
 
5.1%
6 38
 
4.5%
) 34
 
4.0%
( 34
 
4.0%
4 30
 
3.6%
Other values (14) 110
 
13.1%
Hangul
ValueCountFrequency (%)
43
 
5.4%
39
 
4.9%
39
 
4.9%
36
 
4.5%
35
 
4.4%
32
 
4.0%
25
 
3.1%
22
 
2.7%
18
 
2.2%
14
 
1.7%
Other values (152) 498
62.2%
Number Forms
ValueCountFrequency (%)
1
100.0%

대표업체연락전화번호
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.5 KiB
<NA>
2439 
000-0000-0000
 
46

Length

Max length13
Median length4
Mean length4.1665996
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> 2439
98.1%
000-0000-0000 46
 
1.9%

Length

2023-12-13T00:51:56.961061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:51:57.065088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2439
98.1%
000-0000-0000 46
 
1.9%
Distinct7
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size19.5 KiB
Minimum2020-03-31 00:00:00
Maximum2020-10-19 00:00:00
2023-12-13T00:51:57.194108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:51:57.348468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
Distinct7
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size19.5 KiB
B551963
500 
B552041
500 
3310000
500 
B410005
500 
B551210
358 
Other values (2)
127 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowB551963
2nd rowB551963
3rd rowB551963
4th rowB551963
5th rowB551963

Common Values

ValueCountFrequency (%)
B551963 500
20.1%
B552041 500
20.1%
3310000 500
20.1%
B410005 500
20.1%
B551210 358
14.4%
B552059 81
 
3.3%
B552525 46
 
1.9%

Length

2023-12-13T00:51:57.507668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:51:57.653430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
b551963 500
20.1%
b552041 500
20.1%
3310000 500
20.1%
b410005 500
20.1%
b551210 358
14.4%
b552059 81
 
3.3%
b552525 46
 
1.9%

제공기관명
Categorical

Distinct7
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size19.5 KiB
한국전자통신연구원
500 
한국수력원자력(주)
500 
부산광역시 남구
500 
한국석유공사
500 
한국가스공사
358 
Other values (2)
127 

Length

Max length10
Median length9
Mean length7.8945674
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
한국전자통신연구원 500
20.1%
한국수력원자력(주) 500
20.1%
부산광역시 남구 500
20.1%
한국석유공사 500
20.1%
한국가스공사 358
14.4%
한전KDN(주) 81
 
3.3%
(주)강원랜드 46
 
1.9%

Length

2023-12-13T00:51:57.830485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:51:57.985453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한국전자통신연구원 500
16.8%
한국수력원자력(주 500
16.8%
부산광역시 500
16.8%
남구 500
16.8%
한국석유공사 500
16.8%
한국가스공사 358
12.0%
한전kdn(주 81
 
2.7%
주)강원랜드 46
 
1.5%

Sample

계약번호통합계약번호계약차수계약명업무구분명계약체결형태명계약체결방법명장기계속구분명공동계약여부계약체결일자계약기간계약금액총계약금액계약정보URL입찰공고번호입찰공고차수입찰공고명개찰일자개찰시각예정가격수의계약사유입찰공고URL계약기관구분명계약기관명계약기관코드계약기관담당부서명계약기관담당자명계약기관담당자전화번호계약기관담당자이메일주소수요기관구분명수요기관명수요기관코드수요기관담당자부서명수요기관담당자명수요기관담당자전화번호수요기관담당자이메일주소대표업체명국내업체여부대표업체대표자명대표업체담당자명대표업체사업자등록번호대표업체주소대표업체연락전화번호데이터기준일자제공기관코드제공기관명
0EE20201141<NA>0돌봄서비스 AI학습용 딥러닝 서버물품총액계약일반경쟁<NA>2020-09-01계약일로부터 46일18260000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>기타공공기관한국전자통신연구원<NA><NA><NA><NA><NA>기타공공기관한국전자통신연구원<NA><NA><NA><NA><NA>에이치아이티<NA><NA><NA><NA><NA>2020-09-30B551963한국전자통신연구원
1EE20201143<NA>0GPU 외 3건물품총액계약일반경쟁<NA>2020-09-01계약일로부터 35일15144000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>기타공공기관한국전자통신연구원<NA><NA><NA><NA><NA>기타공공기관한국전자통신연구원<NA><NA><NA><NA><NA>에이치아이티<NA><NA><NA><NA><NA>2020-09-30B551963한국전자통신연구원
2EE20201147<NA>0Field Cable 외 5건물품총액계약일반경쟁<NA>2020-09-01계약일로부터 15일6069870<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>기타공공기관한국전자통신연구원<NA><NA><NA><NA><NA>기타공공기관한국전자통신연구원<NA><NA><NA><NA><NA>에스오텍<NA><NA><NA><NA><NA>2020-09-30B551963한국전자통신연구원
3EE20201148<NA>0광수신부품 광정렬 지원용 레이저 광원 모듈물품총액계약일반경쟁<NA>2020-09-01계약일로부터 28일8909670<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>기타공공기관한국전자통신연구원<NA><NA><NA><NA><NA>기타공공기관한국전자통신연구원<NA><NA><NA><NA><NA>(주)에스엠텍<NA><NA><NA><NA><NA>2020-09-30B551963한국전자통신연구원
4EE20201149<NA>0화재시뮬레이션시스템업그레이드물품류(CPU,Mainboard,기타) 외 40건물품총액계약일반경쟁<NA>2020-09-01계약일로부터 14일12615680<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>기타공공기관한국전자통신연구원<NA><NA><NA><NA><NA>기타공공기관한국전자통신연구원<NA><NA><NA><NA><NA>신도대연OA<NA><NA><NA><NA><NA>2020-09-30B551963한국전자통신연구원
5EE20201150<NA>0ASUS RTX8000 with 48GB for ASUS ESC8000 외 6건물품총액계약일반경쟁<NA>2020-09-01계약일로부터 10일20731000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>기타공공기관한국전자통신연구원<NA><NA><NA><NA><NA>기타공공기관한국전자통신연구원<NA><NA><NA><NA><NA>주식회사 아이에스테크<NA><NA><NA><NA><NA>2020-09-30B551963한국전자통신연구원
6EE20201152<NA>0LCR-15A 프로브물품총액계약일반경쟁<NA>2020-09-02계약일로부터 10일1551000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>기타공공기관한국전자통신연구원<NA><NA><NA><NA><NA>기타공공기관한국전자통신연구원<NA><NA><NA><NA><NA>가하시스템<NA><NA><NA><NA><NA>2020-09-30B551963한국전자통신연구원
7EE20201153<NA>0고속 RF 증폭기물품총액계약일반경쟁<NA>2020-09-02계약일로부터 56일8965000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>기타공공기관한국전자통신연구원<NA><NA><NA><NA><NA>기타공공기관한국전자통신연구원<NA><NA><NA><NA><NA>알케미<NA><NA><NA><NA><NA>2020-09-30B551963한국전자통신연구원
8EE20201154<NA>02차/3차 조화파 생성 장치물품총액계약일반경쟁<NA>2020-09-02계약일로부터 56일18040000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>기타공공기관한국전자통신연구원<NA><NA><NA><NA><NA>기타공공기관한국전자통신연구원<NA><NA><NA><NA><NA>레이저닉스 주식회사<NA><NA><NA><NA><NA>2020-09-30B551963한국전자통신연구원
9EE20201156<NA>0레이저 공정용 진공척 베이스 프레임 및 컨트롤 모듈물품총액계약일반경쟁<NA>2020-09-02계약일로부터 59일18498700<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>기타공공기관한국전자통신연구원<NA><NA><NA><NA><NA>기타공공기관한국전자통신연구원<NA><NA><NA><NA><NA>제이텍<NA><NA><NA><NA><NA>2020-09-30B551963한국전자통신연구원
계약번호통합계약번호계약차수계약명업무구분명계약체결형태명계약체결방법명장기계속구분명공동계약여부계약체결일자계약기간계약금액총계약금액계약정보URL입찰공고번호입찰공고차수입찰공고명개찰일자개찰시각예정가격수의계약사유입찰공고URL계약기관구분명계약기관명계약기관코드계약기관담당부서명계약기관담당자명계약기관담당자전화번호계약기관담당자이메일주소수요기관구분명수요기관명수요기관코드수요기관담당자부서명수요기관담당자명수요기관담당자전화번호수요기관담당자이메일주소대표업체명국내업체여부대표업체대표자명대표업체담당자명대표업체사업자등록번호대표업체주소대표업체연락전화번호데이터기준일자제공기관코드제공기관명
2475EE20201283<NA>0KEYBOARD SLIDE SHELF 외 3건물품총액계약일반경쟁<NA>2020-09-14계약일로부터 28일17551000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>기타공공기관한국전자통신연구원<NA><NA><NA><NA><NA>기타공공기관한국전자통신연구원<NA><NA><NA><NA><NA>(주)마하테크<NA><NA><NA><NA><NA>2020-09-30B551963한국전자통신연구원
2476EE20201284<NA>0시연용장비류 외 8건물품총액계약일반경쟁<NA>2020-09-14계약일로부터 21일16413000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>기타공공기관한국전자통신연구원<NA><NA><NA><NA><NA>기타공공기관한국전자통신연구원<NA><NA><NA><NA><NA>에이치아이티<NA><NA><NA><NA><NA>2020-09-30B551963한국전자통신연구원
2477EE20201285<NA>0MCT접합 장비용 진공 펌프물품총액계약일반경쟁<NA>2020-09-14계약일로부터 14일20845000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>기타공공기관한국전자통신연구원<NA><NA><NA><NA><NA>기타공공기관한국전자통신연구원<NA><NA><NA><NA><NA>주식회사 다다코리아<NA><NA><NA><NA><NA>2020-09-30B551963한국전자통신연구원
2478EE20201286<NA>0400G 8:4 DSP-IC물품총액계약일반경쟁<NA>2020-09-14계약일로부터 42일14150000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>기타공공기관한국전자통신연구원<NA><NA><NA><NA><NA>기타공공기관한국전자통신연구원<NA><NA><NA><NA><NA>주식회사 엘케이세미컴<NA><NA><NA><NA><NA>2020-09-30B551963한국전자통신연구원
2479EE20201287<NA>0Chemical Storage Box (OS-1200 ) 외 1건물품총액계약일반경쟁<NA>2020-09-14계약일로부터 45일10780000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>기타공공기관한국전자통신연구원<NA><NA><NA><NA><NA>기타공공기관한국전자통신연구원<NA><NA><NA><NA><NA>랩디자인<NA><NA><NA><NA><NA>2020-09-30B551963한국전자통신연구원
2480EE20201288<NA>0Hume Hood물품총액계약일반경쟁<NA>2020-09-14계약일로부터 45일8500000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>기타공공기관한국전자통신연구원<NA><NA><NA><NA><NA>기타공공기관한국전자통신연구원<NA><NA><NA><NA><NA>라보텍 주식회사<NA><NA><NA><NA><NA>2020-09-30B551963한국전자통신연구원
2481EE20201289<NA>0XCVU065-2FFVC1517E물품총액계약일반경쟁<NA>2020-09-14계약일로부터 28일21345000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>기타공공기관한국전자통신연구원<NA><NA><NA><NA><NA>기타공공기관한국전자통신연구원<NA><NA><NA><NA><NA>탑알앤디 주식회사<NA><NA><NA><NA><NA>2020-09-30B551963한국전자통신연구원
2482EE20201290<NA>0저전력 광역 IoT 통신 플랫폼물품총액계약일반경쟁<NA>2020-09-14계약일로부터 10일10340000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>기타공공기관한국전자통신연구원<NA><NA><NA><NA><NA>기타공공기관한국전자통신연구원<NA><NA><NA><NA><NA>주식회사 시그웍스<NA><NA><NA><NA><NA>2020-09-30B551963한국전자통신연구원
2483EE20201291<NA>0자세센서물품총액계약일반경쟁<NA>2020-09-14계약일로부터 21일2750000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>기타공공기관한국전자통신연구원<NA><NA><NA><NA><NA>기타공공기관한국전자통신연구원<NA><NA><NA><NA><NA>(주)테크노데이타<NA><NA><NA><NA><NA>2020-09-30B551963한국전자통신연구원
2484EE20201161<NA>0조립형 데스크탑 PC 외 1건물품총액계약일반경쟁<NA>2020-09-03계약일로부터 28일8696000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>기타공공기관한국전자통신연구원<NA><NA><NA><NA><NA>기타공공기관한국전자통신연구원<NA><NA><NA><NA><NA>ICTKOREA<NA><NA><NA><NA><NA>2020-09-30B551963한국전자통신연구원

Duplicate rows

Most frequently occurring

계약번호통합계약번호계약차수계약명업무구분명계약체결형태명계약체결방법명장기계속구분명공동계약여부계약체결일자계약기간계약금액총계약금액입찰공고번호입찰공고차수입찰공고명개찰일자개찰시각예정가격입찰공고URL계약기관구분명계약기관명계약기관코드수요기관구분명수요기관명수요기관코드대표업체명국내업체여부대표업체대표자명대표업체담당자명대표업체사업자등록번호대표업체주소대표업체연락전화번호데이터기준일자제공기관코드제공기관명# duplicates
02.02E+112020000000001(관급) 소막마을 주민공동체센터 신축 전기공사(LED실내조명등-2차)물품제3자단가계약수의계약<NA>2019-10-2820191028~201911271080000<NA><NA><NA><NA><NA><NA><NA><NA>지자체부산 남구3310000지자체부산광역시 남구3310000금경라이팅(주)<NA><NA><NA><NA><NA>2020-04-213310000부산광역시 남구2