Overview

Dataset statistics

Number of variables9
Number of observations995
Missing cells4430
Missing cells (%)49.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory72.0 KiB
Average record size in memory74.1 B

Variable types

Numeric2
Text4
DateTime2
Boolean1

Dataset

Description공공구매정보망 적격조합 정보에 대한 데이터를 제공합니다. 조합코드, 조합명, 우편번호, 홈페이지, 실태조사 협약체결/해지 일 등을 제공합니다.
Author(주)중소기업유통센터
URLhttps://www.data.go.kr/data/15072180/fileData.do

Alerts

우편번호 has 34 (3.4%) missing valuesMissing
홈페이지 has 740 (74.4%) missing valuesMissing
실태조사 협약 체결 일 has 744 (74.8%) missing valuesMissing
실태조사 협약 해지 일 has 989 (99.4%) missing valuesMissing
실태 조사 협약 해지 사유 has 992 (99.7%) missing valuesMissing
실태 조사 협약 체결 여부 has 32 (3.2%) missing valuesMissing
소관 제품 명 has 899 (90.4%) missing valuesMissing
조합코드 has unique valuesUnique

Reproduction

Analysis started2023-12-12 17:05:57.806951
Analysis finished2023-12-12 17:05:59.220728
Duration1.41 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

조합코드
Real number (ℝ)

UNIQUE 

Distinct995
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean385477.38
Minimum0
Maximum999999
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2023-12-13T02:05:59.302842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile105005.7
Q1128002.5
median400189
Q3500291.5
95-th percentile804932.7
Maximum999999
Range999999
Interquartile range (IQR)372289

Descriptive statistics

Standard deviation257865.4
Coefficient of variation (CV)0.66895079
Kurtosis-1.0566952
Mean385477.38
Median Absolute Deviation (MAD)271171
Skewness0.57687561
Sum3.8354999 × 108
Variance6.6494563 × 1010
MonotonicityNot monotonic
2023-12-13T02:05:59.438651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
200222 1
 
0.1%
105005 1
 
0.1%
127003 1
 
0.1%
127004 1
 
0.1%
129014 1
 
0.1%
129015 1
 
0.1%
129017 1
 
0.1%
129018 1
 
0.1%
200003 1
 
0.1%
200009 1
 
0.1%
Other values (985) 985
99.0%
ValueCountFrequency (%)
0 1
0.1%
101000 1
0.1%
101001 1
0.1%
101003 1
0.1%
101004 1
0.1%
101005 1
0.1%
101006 1
0.1%
101007 1
0.1%
101008 1
0.1%
101009 1
0.1%
ValueCountFrequency (%)
999999 1
0.1%
808195 1
0.1%
808094 1
0.1%
808016 1
0.1%
808015 1
0.1%
807994 1
0.1%
807934 1
0.1%
807834 1
0.1%
807674 1
0.1%
807574 1
0.1%

조합명
Text

Distinct994
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
2023-12-13T02:05:59.611804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length19
Mean length13.024121
Min length6

Characters and Unicode

Total characters12959
Distinct characters388
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique993 ?
Unique (%)99.8%

Sample

1st row한국계측시스템공업협동조합
2nd row한국지하수지열협동조합
3rd row한국소프트웨어개발업협동조합
4th row한국교복체육복공업협동조합
5th row한국가방공업협동조합
ValueCountFrequency (%)
사단법인 5
 
0.5%
한국화장실협회 2
 
0.2%
전북공예협동조합 1
 
0.1%
한국금형공업협동조합 1
 
0.1%
중소기업중앙회 1
 
0.1%
충남공예협동조합 1
 
0.1%
부산니트공업협동조합 1
 
0.1%
대구경북고압가스공업협동조합 1
 
0.1%
부산경남고압가스공업협동조합 1
 
0.1%
대전세종충남북고압가스공업협동조합 1
 
0.1%
Other values (985) 985
98.5%
2023-12-13T02:05:59.905198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 1075
 
8.3%
합 1030
 
7.9%
조 1013
 
7.8%
협 998
 
7.7%
업 913
 
7.0%
사 428
 
3.3%
공 357
 
2.8%
한 303
 
2.3%
국 281
 
2.2%
산 209
 
1.6%
Other values (378) 6352
49.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12900
99.5%
Uppercase Letter 39
 
0.3%
Decimal Number 6
 
< 0.1%
Space Separator 5
 
< 0.1%
Open Punctuation 4
 
< 0.1%
Close Punctuation 4
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1075
 
8.3%
합 1030
 
8.0%
조 1013
 
7.9%
협 998
 
7.7%
업 913
 
7.1%
사 428
 
3.3%
공 357
 
2.8%
한 303
 
2.3%
국 281
 
2.2%
산 209
 
1.6%
Other values (358) 6293
48.8%
Uppercase Letter
ValueCountFrequency (%)
P 9
23.1%
C 6
15.4%
E 4
10.3%
L 4
10.3%
I 3
 
7.7%
T 3
 
7.7%
V 3
 
7.7%
D 2
 
5.1%
S 1
 
2.6%
O 1
 
2.6%
Other values (3) 3
 
7.7%
Decimal Number
ValueCountFrequency (%)
1 3
50.0%
2 2
33.3%
4 1
 
16.7%
Space Separator
ValueCountFrequency (%)
5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12900
99.5%
Latin 39
 
0.3%
Common 20
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1075
 
8.3%
합 1030
 
8.0%
조 1013
 
7.9%
협 998
 
7.7%
업 913
 
7.1%
사 428
 
3.3%
공 357
 
2.8%
한 303
 
2.3%
국 281
 
2.2%
산 209
 
1.6%
Other values (358) 6293
48.8%
Latin
ValueCountFrequency (%)
P 9
23.1%
C 6
15.4%
E 4
10.3%
L 4
10.3%
I 3
 
7.7%
T 3
 
7.7%
V 3
 
7.7%
D 2
 
5.1%
S 1
 
2.6%
O 1
 
2.6%
Other values (3) 3
 
7.7%
Common
ValueCountFrequency (%)
5
25.0%
( 4
20.0%
) 4
20.0%
1 3
15.0%
2 2
 
10.0%
4 1
 
5.0%
. 1
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12900
99.5%
ASCII 59
 
0.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 1075
 
8.3%
합 1030
 
8.0%
조 1013
 
7.9%
협 998
 
7.7%
업 913
 
7.1%
사 428
 
3.3%
공 357
 
2.8%
한 303
 
2.3%
국 281
 
2.2%
산 209
 
1.6%
Other values (358) 6293
48.8%
ASCII
ValueCountFrequency (%)
P 9
15.3%
C 6
10.2%
5
 
8.5%
E 4
 
6.8%
( 4
 
6.8%
L 4
 
6.8%
) 4
 
6.8%
I 3
 
5.1%
T 3
 
5.1%
V 3
 
5.1%
Other values (10) 14
23.7%

우편번호
Real number (ℝ)

MISSING 

Distinct726
Distinct (%)75.5%
Missing34
Missing (%)3.4%
Infinite0
Infinite (%)0.0%
Mean26776.431
Minimum1009
Maximum63591
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2023-12-13T02:06:00.036504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1009
5-th percentile3154
Q17242
median22689
Q344600
95-th percentile61921
Maximum63591
Range62582
Interquartile range (IQR)37358

Descriptive statistics

Standard deviation20059.203
Coefficient of variation (CV)0.74913656
Kurtosis-1.3154973
Mean26776.431
Median Absolute Deviation (MAD)16823
Skewness0.36628821
Sum25732150
Variance4.0237163 × 108
MonotonicityNot monotonic
2023-12-13T02:06:00.183626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6590 10
 
1.0%
6120 8
 
0.8%
2514 6
 
0.6%
5545 6
 
0.6%
7648 5
 
0.5%
54931 5
 
0.5%
15007 5
 
0.5%
6109 5
 
0.5%
7242 5
 
0.5%
41517 5
 
0.5%
Other values (716) 901
90.6%
(Missing) 34
 
3.4%
ValueCountFrequency (%)
1009 1
 
0.1%
1061 2
0.2%
1138 1
 
0.1%
1300 1
 
0.1%
1357 1
 
0.1%
1601 2
0.2%
1758 1
 
0.1%
1793 3
0.3%
1811 1
 
0.1%
1866 1
 
0.1%
ValueCountFrequency (%)
63591 1
0.1%
63590 1
0.1%
63580 1
0.1%
63330 1
0.1%
63295 1
0.1%
63279 1
0.1%
63264 1
0.1%
63227 1
0.1%
63220 1
0.1%
63210 2
0.2%

홈페이지
Text

MISSING 

Distinct254
Distinct (%)99.6%
Missing740
Missing (%)74.4%
Memory size7.9 KiB
2023-12-13T02:06:00.386834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length27
Mean length20.137255
Min length11

Characters and Unicode

Total characters5135
Distinct characters35
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

Unique253 ?
Unique (%)99.2%

Sample

1st rowhttp://www.bag.or.kr
2nd rowhttp://www.kmiic.or.kr
3rd rowhttp://www.kcca.or.kr
4th rowhttp://www.ksiic.or.kr
5th rowhttp://www.kmining.or.kr
ValueCountFrequency (%)
www.fkcic.or.kr 2
 
0.8%
www.kbiz.co.kr 1
 
0.4%
http://www.kurm.or.kr 1
 
0.4%
www.koreapharm.or.kr 1
 
0.4%
http://www.koreacasting.net 1
 
0.4%
www.bmea.or.kr 1
 
0.4%
www.asds.co.kr 1
 
0.4%
rodeo1.co.kr 1
 
0.4%
www.yjdec.or.kr 1
 
0.4%
www.stool.co.kr 1
 
0.4%
Other values (244) 244
95.7%
2023-12-13T02:06:00.700057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
w 767
14.9%
. 722
14.1%
r 501
9.8%
o 374
 
7.3%
k 368
 
7.2%
t 362
 
7.0%
/ 300
 
5.8%
c 216
 
4.2%
p 210
 
4.1%
h 166
 
3.2%
Other values (25) 1149
22.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 3948
76.9%
Other Punctuation 1169
 
22.8%
Dash Punctuation 10
 
0.2%
Decimal Number 7
 
0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 767
19.4%
r 501
12.7%
o 374
9.5%
k 368
9.3%
t 362
9.2%
c 216
 
5.5%
p 210
 
5.3%
h 166
 
4.2%
a 148
 
3.7%
i 143
 
3.6%
Other values (15) 693
17.6%
Other Punctuation
ValueCountFrequency (%)
. 722
61.8%
/ 300
25.7%
: 146
 
12.5%
, 1
 
0.1%
Decimal Number
ValueCountFrequency (%)
1 3
42.9%
2 2
28.6%
5 1
 
14.3%
9 1
 
14.3%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Uppercase Letter
ValueCountFrequency (%)
D 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 3949
76.9%
Common 1186
 
23.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 767
19.4%
r 501
12.7%
o 374
9.5%
k 368
9.3%
t 362
9.2%
c 216
 
5.5%
p 210
 
5.3%
h 166
 
4.2%
a 148
 
3.7%
i 143
 
3.6%
Other values (16) 694
17.6%
Common
ValueCountFrequency (%)
. 722
60.9%
/ 300
25.3%
: 146
 
12.3%
- 10
 
0.8%
1 3
 
0.3%
2 2
 
0.2%
, 1
 
0.1%
5 1
 
0.1%
9 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5135
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
w 767
14.9%
. 722
14.1%
r 501
9.8%
o 374
 
7.3%
k 368
 
7.2%
t 362
 
7.0%
/ 300
 
5.8%
c 216
 
4.2%
p 210
 
4.1%
h 166
 
3.2%
Other values (25) 1149
22.4%

실태조사 협약 체결 일
Date

MISSING 

Distinct21
Distinct (%)8.4%
Missing744
Missing (%)74.8%
Memory size7.9 KiB
Minimum2007-03-01 00:00:00
Maximum2020-02-01 00:00:00
2023-12-13T02:06:00.813543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:06:00.918023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)

실태조사 협약 해지 일
Date

MISSING 

Distinct6
Distinct (%)100.0%
Missing989
Missing (%)99.4%
Memory size7.9 KiB
Minimum2015-07-01 00:00:00
Maximum2020-03-01 00:00:00
2023-12-13T02:06:01.000672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:06:01.080602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)

실태 조사 협약 해지 사유
Text

MISSING 

Distinct3
Distinct (%)100.0%
Missing992
Missing (%)99.7%
Memory size7.9 KiB
2023-12-13T02:06:01.229362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length30
Mean length30.333333
Min length7

Characters and Unicode

Total characters91
Distinct characters47
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)100.0%

Sample

1st row휴면조합 지정 및 실태조사비 부정수급으로 인한 제한조치
2nd row실태조사 불공정 조사(중기청의 취소 통보에 의한 취소(20151221)) 재체결(20190321)
3rd row직생전수조사용
ValueCountFrequency (%)
휴면조합 1
 
6.2%
지정 1
 
6.2%
및 1
 
6.2%
실태조사비 1
 
6.2%
부정수급으로 1
 
6.2%
인한 1
 
6.2%
제한조치 1
 
6.2%
실태조사 1
 
6.2%
불공정 1
 
6.2%
조사(중기청의 1
 
6.2%
Other values (6) 6
37.5%
2023-12-13T02:06:01.781135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13
 
14.3%
조 6
 
6.6%
2 5
 
5.5%
1 5
 
5.5%
사 4
 
4.4%
( 3
 
3.3%
정 3
 
3.3%
0 3
 
3.3%
한 3
 
3.3%
) 3
 
3.3%
Other values (37) 43
47.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 56
61.5%
Decimal Number 16
 
17.6%
Space Separator 13
 
14.3%
Open Punctuation 3
 
3.3%
Close Punctuation 3
 
3.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
조 6
 
10.7%
사 4
 
7.1%
정 3
 
5.4%
한 3
 
5.4%
수 2
 
3.6%
소 2
 
3.6%
취 2
 
3.6%
의 2
 
3.6%
태 2
 
3.6%
실 2
 
3.6%
Other values (28) 28
50.0%
Decimal Number
ValueCountFrequency (%)
2 5
31.2%
1 5
31.2%
0 3
18.8%
9 1
 
6.2%
3 1
 
6.2%
5 1
 
6.2%
Space Separator
ValueCountFrequency (%)
13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 56
61.5%
Common 35
38.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
조 6
 
10.7%
사 4
 
7.1%
정 3
 
5.4%
한 3
 
5.4%
수 2
 
3.6%
소 2
 
3.6%
취 2
 
3.6%
의 2
 
3.6%
태 2
 
3.6%
실 2
 
3.6%
Other values (28) 28
50.0%
Common
ValueCountFrequency (%)
13
37.1%
2 5
 
14.3%
1 5
 
14.3%
( 3
 
8.6%
0 3
 
8.6%
) 3
 
8.6%
9 1
 
2.9%
3 1
 
2.9%
5 1
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 56
61.5%
ASCII 35
38.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13
37.1%
2 5
 
14.3%
1 5
 
14.3%
( 3
 
8.6%
0 3
 
8.6%
) 3
 
8.6%
9 1
 
2.9%
3 1
 
2.9%
5 1
 
2.9%
Hangul
ValueCountFrequency (%)
조 6
 
10.7%
사 4
 
7.1%
정 3
 
5.4%
한 3
 
5.4%
수 2
 
3.6%
소 2
 
3.6%
취 2
 
3.6%
의 2
 
3.6%
태 2
 
3.6%
실 2
 
3.6%
Other values (28) 28
50.0%

실태 조사 협약 체결 여부
Boolean

MISSING 

Distinct2
Distinct (%)0.2%
Missing32
Missing (%)3.2%
Memory size2.1 KiB
False
718 
True
245 
(Missing)
 
32
ValueCountFrequency (%)
False 718
72.2%
True 245
 
24.6%
(Missing) 32
 
3.2%
2023-12-13T02:06:01.918710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

소관 제품 명
Text

MISSING 

Distinct94
Distinct (%)97.9%
Missing899
Missing (%)90.4%
Memory size7.9 KiB
2023-12-13T02:06:02.087686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length90
Median length37
Mean length8.0625
Min length2

Characters and Unicode

Total characters774
Distinct characters245
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique93 ?
Unique (%)96.9%

Sample

1st row개인용소형가방
2nd row수도미터
3rd row교육 및 실험용 과학기기
4th row석회석
5th row철제가드레일
ValueCountFrequency (%)
및 5
 
3.7%
레미콘 3
 
2.2%
등 3
 
2.2%
엘리베이터 3
 
2.2%
아스팔트콘크리트 2
 
1.5%
무정전전원장치 2
 
1.5%
광다중화장치 1
 
0.7%
전시부스설치서비스 1
 
0.7%
내복 1
 
0.7%
전동식의료용침대 1
 
0.7%
Other values (112) 112
83.6%
2023-12-13T02:06:02.519608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
39
 
5.0%
, 23
 
3.0%
기 23
 
3.0%
전 19
 
2.5%
장 18
 
2.3%
스 16
 
2.1%
리 14
 
1.8%
이 14
 
1.8%
치 14
 
1.8%
트 13
 
1.7%
Other values (235) 581
75.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 674
87.1%
Space Separator 39
 
5.0%
Decimal Number 26
 
3.4%
Other Punctuation 25
 
3.2%
Uppercase Letter 4
 
0.5%
Open Punctuation 3
 
0.4%
Close Punctuation 3
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 23
 
3.4%
전 19
 
2.8%
장 18
 
2.7%
스 16
 
2.4%
리 14
 
2.1%
이 14
 
2.1%
치 14
 
2.1%
트 13
 
1.9%
식 12
 
1.8%
제 12
 
1.8%
Other values (219) 519
77.0%
Decimal Number
ValueCountFrequency (%)
0 7
26.9%
1 6
23.1%
6 5
19.2%
2 2
 
7.7%
7 2
 
7.7%
4 2
 
7.7%
5 1
 
3.8%
3 1
 
3.8%
Uppercase Letter
ValueCountFrequency (%)
S 2
50.0%
E 1
25.0%
V 1
25.0%
Other Punctuation
ValueCountFrequency (%)
, 23
92.0%
/ 2
 
8.0%
Space Separator
ValueCountFrequency (%)
39
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 674
87.1%
Common 96
 
12.4%
Latin 4
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 23
 
3.4%
전 19
 
2.8%
장 18
 
2.7%
스 16
 
2.4%
리 14
 
2.1%
이 14
 
2.1%
치 14
 
2.1%
트 13
 
1.9%
식 12
 
1.8%
제 12
 
1.8%
Other values (219) 519
77.0%
Common
ValueCountFrequency (%)
39
40.6%
, 23
24.0%
0 7
 
7.3%
1 6
 
6.2%
6 5
 
5.2%
( 3
 
3.1%
) 3
 
3.1%
2 2
 
2.1%
/ 2
 
2.1%
7 2
 
2.1%
Other values (3) 4
 
4.2%
Latin
ValueCountFrequency (%)
S 2
50.0%
E 1
25.0%
V 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 674
87.1%
ASCII 100
 
12.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
39
39.0%
, 23
23.0%
0 7
 
7.0%
1 6
 
6.0%
6 5
 
5.0%
( 3
 
3.0%
) 3
 
3.0%
2 2
 
2.0%
/ 2
 
2.0%
7 2
 
2.0%
Other values (6) 8
 
8.0%
Hangul
ValueCountFrequency (%)
기 23
 
3.4%
전 19
 
2.8%
장 18
 
2.7%
스 16
 
2.4%
리 14
 
2.1%
이 14
 
2.1%
치 14
 
2.1%
트 13
 
1.9%
식 12
 
1.8%
제 12
 
1.8%
Other values (219) 519
77.0%

Interactions

2023-12-13T02:05:58.620084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:05:58.399551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:05:58.710330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:05:58.509480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T02:06:02.656634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
조합코드우편번호실태조사 협약 체결 일실태조사 협약 해지 일실태 조사 협약 해지 사유실태 조사 협약 체결 여부소관 제품 명
조합코드1.0000.3860.7721.0001.0000.3730.894
우편번호0.3861.0000.3091.0001.0000.1560.000
실태조사 협약 체결 일0.7720.3091.000NaN0.0000.0001.000
실태조사 협약 해지 일1.0001.000NaN1.000NaNNaNNaN
실태 조사 협약 해지 사유1.0001.0000.000NaN1.0001.0000.000
실태 조사 협약 체결 여부0.3730.1560.000NaN1.0001.0001.000
소관 제품 명0.8940.0001.000NaN0.0001.0001.000
2023-12-13T02:06:02.822533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
조합코드우편번호실태 조사 협약 체결 여부
조합코드1.0000.0620.399
우편번호0.0621.0000.118
실태 조사 협약 체결 여부0.3990.1181.000

Missing values

2023-12-13T02:05:58.849620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T02:05:59.002234image/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.
2023-12-13T02:05:59.138634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

조합코드조합명우편번호홈페이지실태조사 협약 체결 일실태조사 협약 해지 일실태 조사 협약 해지 사유실태 조사 협약 체결 여부소관 제품 명
0200222한국계측시스템공업협동조합2551<NA>2012-04<NA><NA>Y<NA>
1200227한국지하수지열협동조합6347<NA>2012-04<NA><NA>Y<NA>
2200232한국소프트웨어개발업협동조합41517<NA>2012-04<NA><NA>Y<NA>
3200235한국교복체육복공업협동조합2580<NA>2012-04<NA><NA>Y<NA>
4200001한국가방공업협동조합4630http://www.bag.or.kr2012-04<NA><NA>Y개인용소형가방
5200002한국계량계측기기공업협동조합7505http://www.kmiic.or.kr2012-04<NA><NA>Y수도미터
6200005한국골판지포장산업협동조합6657http://www.kcca.or.kr2012-04<NA><NA>Y<NA>
7200007한국과학기기공업협동조합3043http://www.ksiic.or.kr2012-04<NA><NA>Y교육 및 실험용 과학기기
8200008대한광업협동조합3044http://www.kmining.or.kr2012-04<NA><NA>Y석회석
9200010한국금속공업협동조합7236http://www.koreametal.or.kr2012-04<NA><NA>Y철제가드레일
조합코드조합명우편번호홈페이지실태조사 협약 체결 일실태조사 협약 해지 일실태 조사 협약 해지 사유실태 조사 협약 체결 여부소관 제품 명
985808015제주남서부레미콘사업협동조합63580<NA><NA><NA><NA><NA><NA>
986803594한국노면처리산업협동조합11158<NA><NA><NA><NA><NA><NA>
987805054한국전기에너지산업협동조합5642http://keeic.kr/2020-02<NA><NA>Y태양광발전장치, 수배전반, ESS, 무정전전원장치 및 충전장치, 개폐기, 변압기, 계장계측장치, 자동제어, 전선, 조명, 축전지, 전기장치, 전기설계 및 시공 등
988808094충북중부레미콘사업협동조합<NA><NA><NA><NA><NA><NA><NA>
989806355한국음식물처리기기협동조합1811<NA><NA><NA><NA><NA>음식물처리기기
990807075한국컴퓨팅사업협동조합6223<NA><NA><NA><NA><NA><NA>
991807334광주전남제일레미콘사업협동조합62073<NA><NA><NA><NA><NA>레미콘
992700010한국화장실협회16489<NA><NA><NA>직생전수조사용N<NA>
993804235한국피부미용업협동조합6633<NA><NA><NA><NA><NA>피부미용서비스
994808195서울경기북부엘리베이터사업협동조합7255<NA><NA><NA><NA><NA>엘리베이터 제작 및 설치, 엘리베이터 부품, 엘리베이터 전산시스템 등