Overview

Dataset statistics

Number of variables8
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory712.9 KiB
Average record size in memory73.0 B

Variable types

Categorical3
Numeric1
Text4

Dataset

Description공공구매정보망 공동사업계약과 관련된 제품 및 업체정보를 제공합니다. 제품분류, 추천제한횟수, 계약금액, 대상물품, 참여업체, 조합명, 경쟁제품 여부 등을 제공합니다.
Author(주)중소기업유통센터
URLhttps://www.data.go.kr/data/15072177/fileData.do

Alerts

년간_추천_제한_횟수 is highly overall correlated with 년간_계약_금액High correlation
년간_계약_금액 is highly overall correlated with 년간_추천_제한_횟수High correlation
제품분류 is highly imbalanced (61.2%)Imbalance
년간_계약_금액 is highly imbalanced (59.9%)Imbalance
경쟁제품여부 is highly imbalanced (79.1%)Imbalance

Reproduction

Analysis started2023-12-12 14:37:12.965194
Analysis finished2023-12-12 14:37:14.566429
Duration1.6 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

제품분류
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
공동브랜드지원제품
8419 
단체표준인증제품
1252 
특허개발지원제품
 
231
공통기술개발지원제품
 
98

Length

Max length10
Median length9
Mean length8.8615
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row공동브랜드지원제품
2nd row공동브랜드지원제품
3rd row단체표준인증제품
4th row공동브랜드지원제품
5th row공동브랜드지원제품

Common Values

ValueCountFrequency (%)
공동브랜드지원제품 8419
84.2%
단체표준인증제품 1252
 
12.5%
특허개발지원제품 231
 
2.3%
공통기술개발지원제품 98
 
1.0%

Length

2023-12-12T23:37:14.662643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:37:14.796180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공동브랜드지원제품 8419
84.2%
단체표준인증제품 1252
 
12.5%
특허개발지원제품 231
 
2.3%
공통기술개발지원제품 98
 
1.0%

년간_추천_제한_횟수
Real number (ℝ)

HIGH CORRELATION 

Distinct20
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.9212
Minimum2
Maximum24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T23:37:15.216368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q12
median6
Q310
95-th percentile24
Maximum24
Range22
Interquartile range (IQR)8

Descriptive statistics

Standard deviation6.6452996
Coefficient of variation (CV)0.83892587
Kurtosis1.1832368
Mean7.9212
Median Absolute Deviation (MAD)4
Skewness1.4906016
Sum79212
Variance44.160007
MonotonicityNot monotonic
2023-12-12T23:37:15.325170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
6 4152
41.5%
2 2783
27.8%
24 1119
 
11.2%
10 1028
 
10.3%
9 193
 
1.9%
15 185
 
1.8%
16 112
 
1.1%
11 105
 
1.1%
7 102
 
1.0%
18 46
 
0.5%
Other values (10) 175
 
1.8%
ValueCountFrequency (%)
2 2783
27.8%
6 4152
41.5%
7 102
 
1.0%
8 32
 
0.3%
9 193
 
1.9%
10 1028
 
10.3%
11 105
 
1.1%
12 25
 
0.2%
13 22
 
0.2%
14 29
 
0.3%
ValueCountFrequency (%)
24 1119
11.2%
23 10
 
0.1%
22 13
 
0.1%
21 12
 
0.1%
20 7
 
0.1%
19 8
 
0.1%
18 46
 
0.5%
17 17
 
0.2%
16 112
 
1.1%
15 185
 
1.8%

년간_계약_금액
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct41
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1,000,000,000
5058 
100,000,000
2783 
2,000,000,000
917 
4,000,000,000
 
273
3,000,000,000
 
213
Other values (36)
756 

Length

Max length13
Median length13
Mean length12.4332
Min length11

Unique

Unique3 ?
Unique (%)< 0.1%

Sample

1st row1,000,000,000
2nd row4,000,000,000
3rd row1,000,000,000
4th row100,000,000
5th row2,400,000,000

Common Values

ValueCountFrequency (%)
1,000,000,000 5058
50.6%
100,000,000 2783
27.8%
2,000,000,000 917
 
9.2%
4,000,000,000 273
 
2.7%
3,000,000,000 213
 
2.1%
1,063,094,178 158
 
1.6%
1,119,260,931 137
 
1.4%
1,224,992,617 112
 
1.1%
2,400,000,000 85
 
0.9%
400,000,000 51
 
0.5%
Other values (31) 213
 
2.1%

Length

2023-12-12T23:37:15.463692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
1,000,000,000 5058
50.6%
100,000,000 2783
27.8%
2,000,000,000 917
 
9.2%
4,000,000,000 273
 
2.7%
3,000,000,000 213
 
2.1%
1,063,094,178 158
 
1.6%
1,119,260,931 137
 
1.4%
1,224,992,617 112
 
1.1%
2,400,000,000 85
 
0.9%
400,000,000 51
 
0.5%
Other values (31) 213
 
2.1%

대상물품
Text

Distinct256
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T23:37:15.768689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length13
Mean length3.955
Min length1

Characters and Unicode

Total characters39550
Distinct characters294
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

Unique23 ?
Unique (%)0.2%

Sample

1st row일반행정공통서식
2nd row승객용엘리베이터
3rd row가로등주부속자재
4th row명세서
5th row무균대
ValueCountFrequency (%)
기타인쇄물 498
 
5.0%
교재 432
 
4.3%
정기간행물 406
 
4.1%
팸플릿 396
 
4.0%
달력 366
 
3.7%
연감 359
 
3.6%
서적 359
 
3.6%
수첩 359
 
3.6%
포스터 335
 
3.4%
편람 287
 
2.9%
Other values (246) 6203
62.0%
2023-12-12T23:37:16.239583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 1398
 
3.5%
전 1266
 
3.2%
서 1235
 
3.1%
물 1197
 
3.0%
반 1000
 
2.5%
스 973
 
2.5%
인 904
 
2.3%
쇄 848
 
2.1%
판 811
 
2.1%
정 756
 
1.9%
Other values (284) 29162
73.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 39510
99.9%
Uppercase Letter 40
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 1398
 
3.5%
전 1266
 
3.2%
서 1235
 
3.1%
물 1197
 
3.0%
반 1000
 
2.5%
스 973
 
2.5%
인 904
 
2.3%
쇄 848
 
2.1%
판 811
 
2.1%
정 756
 
1.9%
Other values (278) 29122
73.7%
Uppercase Letter
ValueCountFrequency (%)
D 13
32.5%
E 7
17.5%
L 7
17.5%
B 6
15.0%
O 5
 
12.5%
A 2
 
5.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 39510
99.9%
Latin 40
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 1398
 
3.5%
전 1266
 
3.2%
서 1235
 
3.1%
물 1197
 
3.0%
반 1000
 
2.5%
스 973
 
2.5%
인 904
 
2.3%
쇄 848
 
2.1%
판 811
 
2.1%
정 756
 
1.9%
Other values (278) 29122
73.7%
Latin
ValueCountFrequency (%)
D 13
32.5%
E 7
17.5%
L 7
17.5%
B 6
15.0%
O 5
 
12.5%
A 2
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 39510
99.9%
ASCII 40
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 1398
 
3.5%
전 1266
 
3.2%
서 1235
 
3.1%
물 1197
 
3.0%
반 1000
 
2.5%
스 973
 
2.5%
인 904
 
2.3%
쇄 848
 
2.1%
판 811
 
2.1%
정 756
 
1.9%
Other values (278) 29122
73.7%
ASCII
ValueCountFrequency (%)
D 13
32.5%
E 7
17.5%
L 7
17.5%
B 6
15.0%
O 5
 
12.5%
A 2
 
5.0%

참여업체
Text

Distinct2063
Distinct (%)20.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T23:37:16.460515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length20
Mean length6.7479
Min length2

Characters and Unicode

Total characters67479
Distinct characters496
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique687 ?
Unique (%)6.9%

Sample

1st row고은인쇄사
2nd row(주)대한특수승강기
3rd row은성
4th row상록인쇄사
5th row주식회사 비전
ValueCountFrequency (%)
주식회사 744
 
6.6%
주 82
 
0.7%
도서출판 51
 
0.5%
유한회사 39
 
0.3%
신명인쇄사 32
 
0.3%
경남인쇄사 28
 
0.2%
은하수 26
 
0.2%
성문인쇄사 22
 
0.2%
이레웍스 22
 
0.2%
충남인쇄사 22
 
0.2%
Other values (2091) 10159
90.5%
2023-12-12T23:37:16.870249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 4785
 
7.1%
) 3871
 
5.7%
( 3862
 
5.7%
사 2968
 
4.4%
인 2916
 
4.3%
쇄 1841
 
2.7%
기 1494
 
2.2%
디 1256
 
1.9%
1244
 
1.8%
이 1221
 
1.8%
Other values (486) 42021
62.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 57351
85.0%
Close Punctuation 3871
 
5.7%
Open Punctuation 3862
 
5.7%
Space Separator 1244
 
1.8%
Uppercase Letter 689
 
1.0%
Other Punctuation 214
 
0.3%
Lowercase Letter 122
 
0.2%
Decimal Number 86
 
0.1%
Other Symbol 25
 
< 0.1%
Dash Punctuation 15
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 4785
 
8.3%
사 2968
 
5.2%
인 2916
 
5.1%
쇄 1841
 
3.2%
기 1494
 
2.6%
디 1256
 
2.2%
이 1221
 
2.1%
회 1126
 
2.0%
식 1050
 
1.8%
스 922
 
1.6%
Other values (437) 37772
65.9%
Uppercase Letter
ValueCountFrequency (%)
D 124
18.0%
A 94
13.6%
I 78
11.3%
P 50
 
7.3%
G 46
 
6.7%
C 43
 
6.2%
R 37
 
5.4%
S 26
 
3.8%
T 24
 
3.5%
H 22
 
3.2%
Other values (9) 145
21.0%
Lowercase Letter
ValueCountFrequency (%)
e 23
18.9%
n 21
17.2%
s 21
17.2%
g 15
12.3%
i 15
12.3%
o 6
 
4.9%
a 4
 
3.3%
v 4
 
3.3%
m 4
 
3.3%
c 4
 
3.3%
Other values (4) 5
 
4.1%
Decimal Number
ValueCountFrequency (%)
1 46
53.5%
0 21
24.4%
9 9
 
10.5%
5 5
 
5.8%
3 4
 
4.7%
2 1
 
1.2%
Other Punctuation
ValueCountFrequency (%)
& 70
32.7%
. 64
29.9%
, 61
28.5%
· 13
 
6.1%
/ 6
 
2.8%
Close Punctuation
ValueCountFrequency (%)
) 3871
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3862
100.0%
Space Separator
ValueCountFrequency (%)
1244
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 25
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 57376
85.0%
Common 9292
 
13.8%
Latin 811
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 4785
 
8.3%
사 2968
 
5.2%
인 2916
 
5.1%
쇄 1841
 
3.2%
기 1494
 
2.6%
디 1256
 
2.2%
이 1221
 
2.1%
회 1126
 
2.0%
식 1050
 
1.8%
스 922
 
1.6%
Other values (438) 37797
65.9%
Latin
ValueCountFrequency (%)
D 124
15.3%
A 94
 
11.6%
I 78
 
9.6%
P 50
 
6.2%
G 46
 
5.7%
C 43
 
5.3%
R 37
 
4.6%
S 26
 
3.2%
T 24
 
3.0%
e 23
 
2.8%
Other values (23) 266
32.8%
Common
ValueCountFrequency (%)
) 3871
41.7%
( 3862
41.6%
1244
 
13.4%
& 70
 
0.8%
. 64
 
0.7%
, 61
 
0.7%
1 46
 
0.5%
0 21
 
0.2%
- 15
 
0.2%
· 13
 
0.1%
Other values (5) 25
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 57351
85.0%
ASCII 10090
 
15.0%
None 38
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 4785
 
8.3%
사 2968
 
5.2%
인 2916
 
5.1%
쇄 1841
 
3.2%
기 1494
 
2.6%
디 1256
 
2.2%
이 1221
 
2.1%
회 1126
 
2.0%
식 1050
 
1.8%
스 922
 
1.6%
Other values (437) 37772
65.9%
ASCII
ValueCountFrequency (%)
) 3871
38.4%
( 3862
38.3%
1244
 
12.3%
D 124
 
1.2%
A 94
 
0.9%
I 78
 
0.8%
& 70
 
0.7%
. 64
 
0.6%
, 61
 
0.6%
P 50
 
0.5%
Other values (37) 572
 
5.7%
None
ValueCountFrequency (%)
㈜ 25
65.8%
· 13
34.2%

조합명
Text

Distinct62
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T23:37:17.107218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16
Mean length13.5028
Min length10

Characters and Unicode

Total characters135028
Distinct characters106
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

Unique2 ?
Unique (%)< 0.1%

Sample

1st row울산경남인쇄정보산업협동조합
2nd row대한엘리베이터사업협동조합
3rd row한국금속공업협동조합
4th row대한인쇄정보산업협동조합연합회
5th row한국과학기기공업협동조합
ValueCountFrequency (%)
대한인쇄정보산업협동조합연합회 2783
27.8%
서울인쇄정보산업협동조합 915
 
9.2%
한국전기공업협동조합 836
 
8.4%
대전세종충남인쇄정보산업협동조합 709
 
7.1%
울산경남인쇄정보산업협동조합 679
 
6.8%
한국광고물제작공업협동조합연합회 644
 
6.4%
한국펌프공업협동조합 506
 
5.1%
대한가구산업협동조합연합회 482
 
4.8%
한국금속공업협동조합 319
 
3.2%
광주전남인쇄정보산업협동조합 191
 
1.9%
Other values (52) 1936
19.4%
2023-12-12T23:37:17.480845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
합 14116
 
10.5%
조 10039
 
7.4%
동 10008
 
7.4%
협 10000
 
7.4%
업 9978
 
7.4%
산 7327
 
5.4%
한 6281
 
4.7%
인 5978
 
4.4%
보 5886
 
4.4%
정 5877
 
4.4%
Other values (96) 49538
36.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 134980
> 99.9%
Uppercase Letter 48
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
합 14116
 
10.5%
조 10039
 
7.4%
동 10008
 
7.4%
협 10000
 
7.4%
업 9978
 
7.4%
산 7327
 
5.4%
한 6281
 
4.7%
인 5978
 
4.4%
보 5886
 
4.4%
정 5877
 
4.4%
Other values (94) 49490
36.7%
Uppercase Letter
ValueCountFrequency (%)
P 24
50.0%
C 24
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 134980
> 99.9%
Latin 48
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
합 14116
 
10.5%
조 10039
 
7.4%
동 10008
 
7.4%
협 10000
 
7.4%
업 9978
 
7.4%
산 7327
 
5.4%
한 6281
 
4.7%
인 5978
 
4.4%
보 5886
 
4.4%
정 5877
 
4.4%
Other values (94) 49490
36.7%
Latin
ValueCountFrequency (%)
P 24
50.0%
C 24
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 134980
> 99.9%
ASCII 48
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
합 14116
 
10.5%
조 10039
 
7.4%
동 10008
 
7.4%
협 10000
 
7.4%
업 9978
 
7.4%
산 7327
 
5.4%
한 6281
 
4.7%
인 5978
 
4.4%
보 5886
 
4.4%
정 5877
 
4.4%
Other values (94) 49490
36.7%
ASCII
ValueCountFrequency (%)
P 24
50.0%
C 24
50.0%

경쟁제품여부
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
경쟁제품
9670 
비경쟁제품
 
330

Length

Max length5
Median length4
Mean length4.033
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경쟁제품 9670
96.7%
비경쟁제품 330
 
3.3%

Length

2023-12-12T23:37:17.632397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:37:17.746381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경쟁제품 9670
96.7%
비경쟁제품 330
 
3.3%

대표자
Text

Distinct1988
Distinct (%)19.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T23:37:18.080506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length3
Mean length3.2353
Min length2

Characters and Unicode

Total characters32353
Distinct characters244
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

Unique638 ?
Unique (%)6.4%

Sample

1st row임병수
2nd row채종호
3rd row이석락, 박세현
4th row손병석,이기종,유형민
5th row김재석
ValueCountFrequency (%)
양종태 30
 
0.3%
신혜정 30
 
0.3%
조덕환 29
 
0.3%
김동안 26
 
0.3%
이 26
 
0.3%
김미영 25
 
0.2%
김상기 25
 
0.2%
김주희 23
 
0.2%
김 23
 
0.2%
조미순 22
 
0.2%
Other values (2010) 9951
97.5%
2023-12-12T23:37:18.547746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 2032
 
6.3%
이 1586
 
4.9%
정 1055
 
3.3%
영 841
 
2.6%
박 726
 
2.2%
성 597
 
1.8%
수 556
 
1.7%
경 556
 
1.7%
, 530
 
1.6%
상 526
 
1.6%
Other values (234) 23348
72.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 31570
97.6%
Other Punctuation 534
 
1.7%
Space Separator 230
 
0.7%
Decimal Number 19
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 2032
 
6.4%
이 1586
 
5.0%
정 1055
 
3.3%
영 841
 
2.7%
박 726
 
2.3%
성 597
 
1.9%
수 556
 
1.8%
경 556
 
1.8%
상 526
 
1.7%
호 519
 
1.6%
Other values (230) 22576
71.5%
Other Punctuation
ValueCountFrequency (%)
, 530
99.3%
. 4
 
0.7%
Space Separator
ValueCountFrequency (%)
230
100.0%
Decimal Number
ValueCountFrequency (%)
1 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 31570
97.6%
Common 783
 
2.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 2032
 
6.4%
이 1586
 
5.0%
정 1055
 
3.3%
영 841
 
2.7%
박 726
 
2.3%
성 597
 
1.9%
수 556
 
1.8%
경 556
 
1.8%
상 526
 
1.7%
호 519
 
1.6%
Other values (230) 22576
71.5%
Common
ValueCountFrequency (%)
, 530
67.7%
230
29.4%
1 19
 
2.4%
. 4
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 31570
97.6%
ASCII 783
 
2.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 2032
 
6.4%
이 1586
 
5.0%
정 1055
 
3.3%
영 841
 
2.7%
박 726
 
2.3%
성 597
 
1.9%
수 556
 
1.8%
경 556
 
1.8%
상 526
 
1.7%
호 519
 
1.6%
Other values (230) 22576
71.5%
ASCII
ValueCountFrequency (%)
, 530
67.7%
230
29.4%
1 19
 
2.4%
. 4
 
0.5%

Interactions

2023-12-12T23:37:14.172365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T23:37:18.662085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
제품분류년간_추천_제한_횟수년간_계약_금액조합명경쟁제품여부
제품분류1.0000.4040.7170.9800.045
년간_추천_제한_횟수0.4041.0000.9330.8980.267
년간_계약_금액0.7170.9331.0000.9480.300
조합명0.9800.8980.9481.0000.556
경쟁제품여부0.0450.2670.3000.5561.000
2023-12-12T23:37:18.772382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
경쟁제품여부제품분류년간_계약_금액
경쟁제품여부1.0000.0300.251
제품분류0.0301.0000.451
년간_계약_금액0.2510.4511.000
2023-12-12T23:37:18.862983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
년간_추천_제한_횟수제품분류년간_계약_금액경쟁제품여부
년간_추천_제한_횟수1.0000.2520.6720.206
제품분류0.2521.0000.4510.030
년간_계약_금액0.6720.4511.0000.251
경쟁제품여부0.2060.0300.2511.000

Missing values

2023-12-12T23:37:14.305437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:37:14.475636image/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

제품분류년간_추천_제한_횟수년간_계약_금액대상물품참여업체조합명경쟁제품여부대표자
3852공동브랜드지원제품61,000,000,000일반행정공통서식고은인쇄사울산경남인쇄정보산업협동조합경쟁제품임병수
3917공동브랜드지원제품244,000,000,000승객용엘리베이터(주)대한특수승강기대한엘리베이터사업협동조합경쟁제품채종호
5308단체표준인증제품61,000,000,000가로등주부속자재은성한국금속공업협동조합경쟁제품이석락, 박세현
2778공동브랜드지원제품2100,000,000명세서상록인쇄사대한인쇄정보산업협동조합연합회경쟁제품손병석,이기종,유형민
9056공동브랜드지원제품62,400,000,000무균대주식회사 비전한국과학기기공업협동조합경쟁제품김재석
17550공동브랜드지원제품61,000,000,000법전세일프린팅울산경남인쇄정보산업협동조합경쟁제품이 무 희
24748공동브랜드지원제품61,000,000,000포스터서울인쇄사대전세종충남인쇄정보산업협동조합경쟁제품유병현,이숙이
10317공통기술개발지원제품61,000,000,000원심농축기비엔지테크놀로지(주)경기인천기계공업협동조합경쟁제품박우석
686공동브랜드지원제품102,000,000,000수첩선문사서울인쇄정보산업협동조합경쟁제품이충원
9858공동브랜드지원제품241,000,000,000달력(주) 북메이크경기도인쇄정보산업협동조합경쟁제품최숙
제품분류년간_추천_제한_횟수년간_계약_금액대상물품참여업체조합명경쟁제품여부대표자
5865공동브랜드지원제품61,000,000,000분전반진성전기 주식회사한국전기공업협동조합경쟁제품이창민
769공동브랜드지원제품61,000,000,000수첩중부인쇄기획대전세종충남인쇄정보산업협동조합경쟁제품윤항균
1122공동브랜드지원제품2100,000,000공책제이아이(JI)대한인쇄정보산업협동조합연합회경쟁제품손제경
7258공동브랜드지원제품61,000,000,000전동기제어반유한회사 태강전기한국전기공업협동조합경쟁제품김충섭
9116단체표준인증제품244,000,000,000무선송수신기유니모테크놀로지 (주)한국전자산업협동조합경쟁제품정진현
6078공동브랜드지원제품61,000,000,000분전함주식회사 동성계전한국전기공업협동조합경쟁제품양만식
6106공동브랜드지원제품61,000,000,000분전함대승기전(주)한국전기공업협동조합경쟁제품강명희
89공동브랜드지원제품102,000,000,000전산디자인(주)대영전산폼서울인쇄정보산업협동조합경쟁제품김영길
24764공동브랜드지원제품61,000,000,000포스터대현사대전세종충남인쇄정보산업협동조합경쟁제품조미순
19239공동브랜드지원제품2100,000,000일반인쇄스티커대광그래픽스대한인쇄정보산업협동조합연합회경쟁제품모종근