Overview

Dataset statistics

Number of variables8
Number of observations833
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory53.8 KiB
Average record size in memory66.2 B

Variable types

Numeric2
Text4
Categorical2

Dataset

Description우수한 인력을 채용하거나 기술기능 인재 양성을 위해 교육훈련에 투자를 아끼지 않는 우수 중소기업의 명단(사업자번호, 상호, 대표자명, 주소 등)을 제공
URLhttps://www.data.go.kr/data/15018880/fileData.do

Alerts

선정일 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
유효기간 종료일 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
연번 is highly overall correlated with 선정일 and 1 other fieldsHigh correlation
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-11 23:27:46.770481
Analysis finished2023-12-11 23:27:48.192922
Duration1.42 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct833
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean417
Minimum1
Maximum833
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2023-12-12T08:27:48.262423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile42.6
Q1209
median417
Q3625
95-th percentile791.4
Maximum833
Range832
Interquartile range (IQR)416

Descriptive statistics

Standard deviation240.61068
Coefficient of variation (CV)0.57700403
Kurtosis-1.2
Mean417
Median Absolute Deviation (MAD)208
Skewness0
Sum347361
Variance57893.5
MonotonicityStrictly increasing
2023-12-12T08:27:48.399218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
626 1
 
0.1%
550 1
 
0.1%
551 1
 
0.1%
552 1
 
0.1%
553 1
 
0.1%
554 1
 
0.1%
555 1
 
0.1%
556 1
 
0.1%
557 1
 
0.1%
Other values (823) 823
98.8%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
833 1
0.1%
832 1
0.1%
831 1
0.1%
830 1
0.1%
829 1
0.1%
828 1
0.1%
827 1
0.1%
826 1
0.1%
825 1
0.1%
824 1
0.1%

사업자번호
Real number (ℝ)

Distinct826
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.1148922 × 109
Minimum1.0181673 × 109
Maximum8.9988008 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2023-12-12T08:27:48.547358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.0181673 × 109
5-th percentile1.0687059 × 109
Q11.2981212 × 109
median2.1781293 × 109
Q34.6087005 × 109
95-th percentile7.5326007 × 109
Maximum8.9988008 × 109
Range7.9806335 × 109
Interquartile range (IQR)3.3105792 × 109

Descriptive statistics

Standard deviation2.1861234 × 109
Coefficient of variation (CV)0.70182956
Kurtosis-0.32468081
Mean3.1148922 × 109
Median Absolute Deviation (MAD)9.7047979 × 108
Skewness0.94923667
Sum2.5947052 × 1012
Variance4.7791356 × 1018
MonotonicityNot monotonic
2023-12-12T08:27:48.704170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1358161791 2
 
0.2%
1308142921 2
 
0.2%
5458100235 2
 
0.2%
1298123676 2
 
0.2%
1198649878 2
 
0.2%
6028151774 2
 
0.2%
6088178029 2
 
0.2%
1238148548 1
 
0.1%
1298663431 1
 
0.1%
4608700464 1
 
0.1%
Other values (816) 816
98.0%
ValueCountFrequency (%)
1018167322 1
0.1%
1018611764 1
0.1%
1018630475 1
0.1%
1018691962 1
0.1%
1028144749 1
0.1%
1048102314 1
0.1%
1048150311 1
0.1%
1048610672 1
0.1%
1048612739 1
0.1%
1048646656 1
0.1%
ValueCountFrequency (%)
8998800811 1
0.1%
8878600997 1
0.1%
8828700742 1
0.1%
8808600491 1
0.1%
8808100313 1
0.1%
8778101349 1
0.1%
8768700562 1
0.1%
8748600628 1
0.1%
8718100212 1
0.1%
8678800148 1
0.1%

상호
Text

Distinct827
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
2023-12-12T08:27:48.949099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length14
Mean length7.8007203
Min length3

Characters and Unicode

Total characters6498
Distinct characters431
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique821 ?
Unique (%)98.6%

Sample

1st row(주)에이씨앤티시스템
2nd row(주)엑티브온
3rd row위드텍
4th row주식회사 세오
5th row(주)티오이십일
ValueCountFrequency (%)
주식회사 37
 
4.2%
주)에이치에스코프레이션 2
 
0.2%
주)이포넷 2
 
0.2%
주)씨넷 2
 
0.2%
주)에스이티 2
 
0.2%
챔프다이아(주 2
 
0.2%
주)다나젠 2
 
0.2%
웹케시(주 1
 
0.1%
주)와이엔디케이 1
 
0.1%
알이디티(주 1
 
0.1%
Other values (821) 821
94.0%
2023-12-12T08:27:49.316943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 754
 
11.6%
( 702
 
10.8%
) 702
 
10.8%
이 273
 
4.2%
스 260
 
4.0%
에 147
 
2.3%
아 99
 
1.5%
티 81
 
1.2%
사 71
 
1.1%
씨 71
 
1.1%
Other values (421) 3338
51.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5030
77.4%
Open Punctuation 702
 
10.8%
Close Punctuation 702
 
10.8%
Space Separator 40
 
0.6%
Other Symbol 16
 
0.2%
Decimal Number 5
 
0.1%
Uppercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 754
 
15.0%
이 273
 
5.4%
스 260
 
5.2%
에 147
 
2.9%
아 99
 
2.0%
티 81
 
1.6%
사 71
 
1.4%
씨 71
 
1.4%
지 67
 
1.3%
트 67
 
1.3%
Other values (409) 3140
62.4%
Decimal Number
ValueCountFrequency (%)
5 1
20.0%
6 1
20.0%
3 1
20.0%
2 1
20.0%
1 1
20.0%
Uppercase Letter
ValueCountFrequency (%)
E 1
33.3%
N 1
33.3%
G 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 702
100.0%
Close Punctuation
ValueCountFrequency (%)
) 702
100.0%
Space Separator
ValueCountFrequency (%)
40
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5046
77.7%
Common 1449
 
22.3%
Latin 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 754
 
14.9%
이 273
 
5.4%
스 260
 
5.2%
에 147
 
2.9%
아 99
 
2.0%
티 81
 
1.6%
사 71
 
1.4%
씨 71
 
1.4%
지 67
 
1.3%
트 67
 
1.3%
Other values (410) 3156
62.5%
Common
ValueCountFrequency (%)
( 702
48.4%
) 702
48.4%
40
 
2.8%
5 1
 
0.1%
6 1
 
0.1%
3 1
 
0.1%
2 1
 
0.1%
1 1
 
0.1%
Latin
ValueCountFrequency (%)
E 1
33.3%
N 1
33.3%
G 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5030
77.4%
ASCII 1452
 
22.3%
None 16
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 754
 
15.0%
이 273
 
5.4%
스 260
 
5.2%
에 147
 
2.9%
아 99
 
2.0%
티 81
 
1.6%
사 71
 
1.4%
씨 71
 
1.4%
지 67
 
1.3%
트 67
 
1.3%
Other values (409) 3140
62.4%
ASCII
ValueCountFrequency (%)
( 702
48.3%
) 702
48.3%
40
 
2.8%
5 1
 
0.1%
6 1
 
0.1%
3 1
 
0.1%
2 1
 
0.1%
1 1
 
0.1%
E 1
 
0.1%
N 1
 
0.1%
None
ValueCountFrequency (%)
㈜ 16
100.0%

대표자명
Text

Distinct68
Distinct (%)8.2%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
2023-12-12T08:27:49.527008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters2499
Distinct characters69
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

Unique19 ?
Unique (%)2.3%

Sample

1st row권**
2nd row조**
3rd row유**
4th row이**
5th row박**
ValueCountFrequency (%)
김 161
19.3%
이 151
18.1%
박 63
 
7.6%
최 43
 
5.2%
정 32
 
3.8%
강 29
 
3.5%
조 28
 
3.4%
유 18
 
2.2%
윤 16
 
1.9%
안 16
 
1.9%
Other values (58) 276
33.1%
2023-12-12T08:27:49.840246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 1666
66.7%
김 161
 
6.4%
이 151
 
6.0%
박 63
 
2.5%
최 43
 
1.7%
정 32
 
1.3%
강 29
 
1.2%
조 28
 
1.1%
유 18
 
0.7%
윤 16
 
0.6%
Other values (59) 292
 
11.7%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 1666
66.7%
Other Letter 833
33.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 161
19.3%
이 151
18.1%
박 63
 
7.6%
최 43
 
5.2%
정 32
 
3.8%
강 29
 
3.5%
조 28
 
3.4%
유 18
 
2.2%
윤 16
 
1.9%
안 16
 
1.9%
Other values (58) 276
33.1%
Other Punctuation
ValueCountFrequency (%)
* 1666
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1666
66.7%
Hangul 833
33.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 161
19.3%
이 151
18.1%
박 63
 
7.6%
최 43
 
5.2%
정 32
 
3.8%
강 29
 
3.5%
조 28
 
3.4%
유 18
 
2.2%
윤 16
 
1.9%
안 16
 
1.9%
Other values (58) 276
33.1%
Common
ValueCountFrequency (%)
* 1666
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1666
66.7%
Hangul 833
33.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 1666
100.0%
Hangul
ValueCountFrequency (%)
김 161
19.3%
이 151
18.1%
박 63
 
7.6%
최 43
 
5.2%
정 32
 
3.8%
강 29
 
3.5%
조 28
 
3.4%
유 18
 
2.2%
윤 16
 
1.9%
안 16
 
1.9%
Other values (58) 276
33.1%

주소
Text

Distinct828
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
2023-12-12T08:27:50.198797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length43
Mean length25.52581
Min length12

Characters and Unicode

Total characters21263
Distinct characters459
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique823 ?
Unique (%)98.8%

Sample

1st row경기 안양시 동안구 엘에스로91번길 16-11
2nd row충북 청주시 청원구 오창읍 두릉유리로 46-5
3rd row대전 유성구 탑립동 900
4th row경기 안양시 동안구 흥안대로427번길 16, 801~804,819~82
5th row서울 서초구 서초대로 350, 서초동아빌라트2타운 2층
ValueCountFrequency (%)
경기 258
 
5.6%
서울 250
 
5.4%
충남 48
 
1.0%
강남구 45
 
1.0%
화성시 45
 
1.0%
부산 44
 
1.0%
경남 39
 
0.8%
대전 37
 
0.8%
성남시 32
 
0.7%
영등포구 31
 
0.7%
Other values (2037) 3776
82.0%
2023-12-12T08:27:50.695086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4322
 
20.3%
1 979
 
4.6%
로 716
 
3.4%
구 605
 
2.8%
2 600
 
2.8%
0 523
 
2.5%
3 482
 
2.3%
시 435
 
2.0%
서 378
 
1.8%
4 376
 
1.8%
Other values (449) 11847
55.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11552
54.3%
Decimal Number 4423
 
20.8%
Space Separator 4322
 
20.3%
Other Punctuation 321
 
1.5%
Dash Punctuation 204
 
1.0%
Uppercase Letter 168
 
0.8%
Open Punctuation 127
 
0.6%
Close Punctuation 116
 
0.5%
Math Symbol 17
 
0.1%
Lowercase Letter 12
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 716
 
6.2%
구 605
 
5.2%
시 435
 
3.8%
서 378
 
3.3%
동 373
 
3.2%
길 348
 
3.0%
경 334
 
2.9%
산 312
 
2.7%
호 294
 
2.5%
기 293
 
2.5%
Other values (398) 7464
64.6%
Uppercase Letter
ValueCountFrequency (%)
A 30
17.9%
B 28
16.7%
T 14
 
8.3%
K 12
 
7.1%
I 11
 
6.5%
C 10
 
6.0%
S 8
 
4.8%
D 8
 
4.8%
R 7
 
4.2%
E 5
 
3.0%
Other values (12) 35
20.8%
Decimal Number
ValueCountFrequency (%)
1 979
22.1%
2 600
13.6%
0 523
11.8%
3 482
10.9%
4 376
 
8.5%
5 375
 
8.5%
7 314
 
7.1%
6 305
 
6.9%
8 239
 
5.4%
9 230
 
5.2%
Lowercase Letter
ValueCountFrequency (%)
a 3
25.0%
b 2
16.7%
i 1
 
8.3%
n 1
 
8.3%
x 1
 
8.3%
r 1
 
8.3%
e 1
 
8.3%
w 1
 
8.3%
o 1
 
8.3%
Other Punctuation
ValueCountFrequency (%)
, 318
99.1%
. 2
 
0.6%
& 1
 
0.3%
Math Symbol
ValueCountFrequency (%)
~ 15
88.2%
∼ 2
 
11.8%
Space Separator
ValueCountFrequency (%)
4322
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 204
100.0%
Open Punctuation
ValueCountFrequency (%)
( 127
100.0%
Close Punctuation
ValueCountFrequency (%)
) 116
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11552
54.3%
Common 9530
44.8%
Latin 181
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 716
 
6.2%
구 605
 
5.2%
시 435
 
3.8%
서 378
 
3.3%
동 373
 
3.2%
길 348
 
3.0%
경 334
 
2.9%
산 312
 
2.7%
호 294
 
2.5%
기 293
 
2.5%
Other values (398) 7464
64.6%
Latin
ValueCountFrequency (%)
A 30
16.6%
B 28
15.5%
T 14
 
7.7%
K 12
 
6.6%
I 11
 
6.1%
C 10
 
5.5%
S 8
 
4.4%
D 8
 
4.4%
R 7
 
3.9%
E 5
 
2.8%
Other values (22) 48
26.5%
Common
ValueCountFrequency (%)
4322
45.4%
1 979
 
10.3%
2 600
 
6.3%
0 523
 
5.5%
3 482
 
5.1%
4 376
 
3.9%
5 375
 
3.9%
, 318
 
3.3%
7 314
 
3.3%
6 305
 
3.2%
Other values (9) 936
 
9.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11552
54.3%
ASCII 9708
45.7%
Math Operators 2
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4322
44.5%
1 979
 
10.1%
2 600
 
6.2%
0 523
 
5.4%
3 482
 
5.0%
4 376
 
3.9%
5 375
 
3.9%
, 318
 
3.3%
7 314
 
3.2%
6 305
 
3.1%
Other values (39) 1114
 
11.5%
Hangul
ValueCountFrequency (%)
로 716
 
6.2%
구 605
 
5.2%
시 435
 
3.8%
서 378
 
3.3%
동 373
 
3.2%
길 348
 
3.0%
경 334
 
2.9%
산 312
 
2.7%
호 294
 
2.5%
기 293
 
2.5%
Other values (398) 7464
64.6%
Math Operators
ValueCountFrequency (%)
∼ 2
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

주생산품
Text

Distinct784
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
2023-12-12T08:27:50.997499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length126
Median length42
Mean length10.944778
Min length2

Characters and Unicode

Total characters9117
Distinct characters529
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique762 ?
Unique (%)91.5%

Sample

1st row무선통신기기
2nd row화장품
3rd row공정모니터링장비
4th row감시장비
5th row환경컨설팅
ValueCountFrequency (%)
및 71
 
4.3%
소프트웨어 43
 
2.6%
등 26
 
1.6%
개발 26
 
1.6%
외 21
 
1.3%
화장품 16
 
1.0%
반도체 16
 
1.0%
부품 13
 
0.8%
제조 13
 
0.8%
솔루션 11
 
0.7%
Other values (1151) 1414
84.7%
2023-12-12T08:27:51.429283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1401
 
15.4%
, 289
 
3.2%
기 208
 
2.3%
스 152
 
1.7%
품 129
 
1.4%
트 117
 
1.3%
어 114
 
1.3%
소 111
 
1.2%
용 107
 
1.2%
장 105
 
1.2%
Other values (519) 6384
70.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6286
68.9%
Space Separator 1401
 
15.4%
Uppercase Letter 672
 
7.4%
Other Punctuation 337
 
3.7%
Lowercase Letter 318
 
3.5%
Close Punctuation 37
 
0.4%
Open Punctuation 37
 
0.4%
Decimal Number 21
 
0.2%
Dash Punctuation 7
 
0.1%
Connector Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 208
 
3.3%
스 152
 
2.4%
품 129
 
2.1%
트 117
 
1.9%
어 114
 
1.8%
소 111
 
1.8%
용 107
 
1.7%
장 105
 
1.7%
전 104
 
1.7%
프 103
 
1.6%
Other values (454) 5036
80.1%
Uppercase Letter
ValueCountFrequency (%)
S 78
 
11.6%
C 68
 
10.1%
E 52
 
7.7%
R 48
 
7.1%
P 48
 
7.1%
I 46
 
6.8%
T 34
 
5.1%
M 34
 
5.1%
D 34
 
5.1%
O 33
 
4.9%
Other values (15) 197
29.3%
Lowercase Letter
ValueCountFrequency (%)
e 42
13.2%
o 34
10.7%
t 34
10.7%
r 31
9.7%
a 24
 
7.5%
i 21
 
6.6%
l 18
 
5.7%
c 14
 
4.4%
n 14
 
4.4%
s 13
 
4.1%
Other values (14) 73
23.0%
Decimal Number
ValueCountFrequency (%)
2 7
33.3%
3 4
19.0%
0 3
14.3%
1 2
 
9.5%
5 2
 
9.5%
6 2
 
9.5%
4 1
 
4.8%
Other Punctuation
ValueCountFrequency (%)
, 289
85.8%
/ 32
 
9.5%
. 9
 
2.7%
& 7
 
2.1%
Space Separator
ValueCountFrequency (%)
1401
100.0%
Close Punctuation
ValueCountFrequency (%)
) 37
100.0%
Open Punctuation
ValueCountFrequency (%)
( 37
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6285
68.9%
Common 1841
 
20.2%
Latin 990
 
10.9%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 208
 
3.3%
스 152
 
2.4%
품 129
 
2.1%
트 117
 
1.9%
어 114
 
1.8%
소 111
 
1.8%
용 107
 
1.7%
장 105
 
1.7%
전 104
 
1.7%
프 103
 
1.6%
Other values (453) 5035
80.1%
Latin
ValueCountFrequency (%)
S 78
 
7.9%
C 68
 
6.9%
E 52
 
5.3%
R 48
 
4.8%
P 48
 
4.8%
I 46
 
4.6%
e 42
 
4.2%
o 34
 
3.4%
T 34
 
3.4%
M 34
 
3.4%
Other values (39) 506
51.1%
Common
ValueCountFrequency (%)
1401
76.1%
, 289
 
15.7%
) 37
 
2.0%
( 37
 
2.0%
/ 32
 
1.7%
. 9
 
0.5%
- 7
 
0.4%
2 7
 
0.4%
& 7
 
0.4%
3 4
 
0.2%
Other values (6) 11
 
0.6%
Han
ValueCountFrequency (%)
外 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6285
68.9%
ASCII 2831
31.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1401
49.5%
, 289
 
10.2%
S 78
 
2.8%
C 68
 
2.4%
E 52
 
1.8%
R 48
 
1.7%
P 48
 
1.7%
I 46
 
1.6%
e 42
 
1.5%
) 37
 
1.3%
Other values (55) 722
25.5%
Hangul
ValueCountFrequency (%)
기 208
 
3.3%
스 152
 
2.4%
품 129
 
2.1%
트 117
 
1.9%
어 114
 
1.8%
소 111
 
1.8%
용 107
 
1.7%
장 105
 
1.7%
전 104
 
1.7%
프 103
 
1.6%
Other values (453) 5035
80.1%
CJK
ValueCountFrequency (%)
外 1
100.0%

선정일
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
2021-01-18
280 
2021-06-30
280 
2022-10-01
273 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-01-18
2nd row2021-01-18
3rd row2021-01-18
4th row2021-01-18
5th row2021-01-18

Common Values

ValueCountFrequency (%)
2021-01-18 280
33.6%
2021-06-30 280
33.6%
2022-10-01 273
32.8%

Length

2023-12-12T08:27:51.550779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:27:51.657125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-01-18 280
33.6%
2021-06-30 280
33.6%
2022-10-01 273
32.8%

유효기간 종료일
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
2024-01-17
280 
2024-06-29
280 
2025-09-30
273 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-01-17
2nd row2024-01-17
3rd row2024-01-17
4th row2024-01-17
5th row2024-01-17

Common Values

ValueCountFrequency (%)
2024-01-17 280
33.6%
2024-06-29 280
33.6%
2025-09-30 273
32.8%

Length

2023-12-12T08:27:51.791094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:27:51.914064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-01-17 280
33.6%
2024-06-29 280
33.6%
2025-09-30 273
32.8%

Interactions

2023-12-12T08:27:47.795535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:27:47.590025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:27:47.901248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:27:47.691660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T08:27:51.994543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번사업자번호대표자명선정일유효기간 종료일
연번1.0000.6440.1860.9450.945
사업자번호0.6441.0000.0000.0870.087
대표자명0.1860.0001.0000.1590.159
선정일0.9450.0870.1591.0001.000
유효기간 종료일0.9450.0870.1591.0001.000
2023-12-12T08:27:52.100373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
선정일유효기간 종료일
선정일1.0001.000
유효기간 종료일1.0001.000
2023-12-12T08:27:52.217357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번사업자번호선정일유효기간 종료일
연번1.0000.0850.9290.929
사업자번호0.0851.0000.0510.051
선정일0.9290.0511.0001.000
유효기간 종료일0.9290.0511.0001.000

Missing values

2023-12-12T08:27:48.023091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T08:27:48.134213image/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

연번사업자번호상호대표자명주소주생산품선정일유효기간 종료일
011238148548(주)에이씨앤티시스템권**경기 안양시 동안구 엘에스로91번길 16-11무선통신기기2021-01-182024-01-17
121428117861(주)엑티브온조**충북 청주시 청원구 오창읍 두릉유리로 46-5화장품2021-01-182024-01-17
233148163107위드텍유**대전 유성구 탑립동 900공정모니터링장비2021-01-182024-01-17
344168144274주식회사 세오이**경기 안양시 동안구 흥안대로427번길 16, 801~804,819~82감시장비2021-01-182024-01-17
451198134254(주)티오이십일박**서울 서초구 서초대로 350, 서초동아빌라트2타운 2층환경컨설팅2021-01-182024-01-17
562018173556(주)지엠티노**경기 성남시 분당구 판교로255번길 9-22, 7층 711호~714호항해통신시스템2021-01-182024-01-17
672208180932브레인즈컴퍼니(주)강**서울 성동구 성수이로 87 성문빌딩 8층IT통합모니터링시스템2021-01-182024-01-17
781288115251(주)피유시스권**경기 파주시 문산읍 돈유2로 150폴리우레탄시스템2021-01-182024-01-17
891198677791테크니컬코리아오**경기 화성시 비봉면 현대기아로 771-9냉동기컴프레셔2021-01-182024-01-17
9101198193059(주)신아티앤씨최**서울 금천구 가산디지털2로 184 벽산경인디지털밸리 2차 508호전자재료용 에폭시수지2021-01-182024-01-17
연번사업자번호상호대표자명주소주생산품선정일유효기간 종료일
8238248338700871가온텍(주)정**부산 금정구 오륜대로 57 씨동 103호폴리우레아수지도막방수재2022-10-012025-09-30
8248258388800039(주)켐트로스이**경기 안산시 단원구 능안로 7전자재료2022-10-012025-09-30
8258268418800637(주)파로스정보통신장**충남 홍성군 홍북읍 첨단산단2길 30CCTV, 영상기기 제조 외2022-10-012025-09-30
8268278518600038파이온일렉트릭(주)윤**서울 서대문구 연세로 50, 공학원 116호전력시스템 및 광전력기기2022-10-012025-09-30
8278288598600478극동에너지(주)사**경북 칠곡군 약목면 관호12길 13-6신재생에너지(태양열,태양광)2022-10-012025-09-30
8288298608601609가이아스(주)임**경기 의왕시 이미로 40 D-509IoT Platform 보안 솔루 션기술2022-10-012025-09-30
8298308748600628(주)메인콘텐츠김**서울 동작구 상도로 65 6층 메인콘텐츠진로교육, 창업교육2022-10-012025-09-30
8308318768700562(주)빅픽처팀현**서울 강남구 역삼로 216, 지하2층, 2층, 3층, 6층(역삼동)소프트웨어 개발2022-10-012025-09-30
8318328778101349(주)테라에너지이**전남 나주시 그린로 379통합관제 BI솔루션 테라비전, 소프트웨어2022-10-012025-09-30
8328338878600997(주)아보메드박**서울 강남구 논현로 539, 6층 (역삼동, 에이치엘아이빌딩)의학 및 약학 연구개발업2022-10-012025-09-30