Overview

Dataset statistics

Number of variables5
Number of observations193
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.9 KiB
Average record size in memory41.7 B

Variable types

Categorical2
Text1
DateTime2

Dataset

Description2023년도 기준 유망 중소기업 지정 현황에 대한 데이터로 2023년도 67건, 2022년도 71건, 2021년도 55건 입니다.
Author전라남도
URLhttps://www.data.go.kr/data/15069166/fileData.do

Alerts

기업명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 07:08:20.889094
Analysis finished2023-12-12 07:08:21.402167
Duration0.51 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지정연도
Categorical

Distinct3
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2022
71 
2023
67 
2021
55 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023
2nd row2023
3rd row2023
4th row2023
5th row2023

Common Values

ValueCountFrequency (%)
2022 71
36.8%
2023 67
34.7%
2021 55
28.5%

Length

2023-12-12T16:08:21.468472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:08:21.604915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022 71
36.8%
2023 67
34.7%
2021 55
28.5%

시군
Categorical

Distinct20
Distinct (%)10.4%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
광양시
32 
나주시
24 
장성군
20 
영암군
19 
여수시
15 
Other values (15)
83 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row목포시
2nd row목포시
3rd row목포시
4th row목포시
5th row여수시

Common Values

ValueCountFrequency (%)
광양시 32
16.6%
나주시 24
12.4%
장성군 20
10.4%
영암군 19
9.8%
여수시 15
7.8%
목포시 12
 
6.2%
함평군 10
 
5.2%
화순군 9
 
4.7%
순천시 9
 
4.7%
고흥군 8
 
4.1%
Other values (10) 35
18.1%

Length

2023-12-12T16:08:21.725870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
광양시 32
16.6%
나주시 24
12.4%
장성군 20
10.4%
영암군 19
9.8%
여수시 15
7.8%
목포시 12
 
6.2%
함평군 10
 
5.2%
화순군 9
 
4.7%
순천시 9
 
4.7%
고흥군 8
 
4.1%
Other values (10) 35
18.1%

기업명
Text

UNIQUE 

Distinct193
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-12-12T16:08:22.019664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length13
Mean length6.5958549
Min length3

Characters and Unicode

Total characters1273
Distinct characters231
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

Unique193 ?
Unique (%)100.0%

Sample

1st row㈜장보고조선
2nd row(유)유달조선
3rd row(유)휴먼테크
4th row주식회사 가리미
5th row㈜승진유공압테크
ValueCountFrequency (%)
주식회사 5
 
2.4%
농업회사법인 5
 
2.4%
어업회사법인 2
 
1.0%
㈜대영스틸산업 1
 
0.5%
유)이룸산업 1
 
0.5%
㈜화진산업 1
 
0.5%
주)하백 1
 
0.5%
㈜대한철강 1
 
0.5%
㈜에스씨 1
 
0.5%
유)코리아푸드 1
 
0.5%
Other values (190) 190
90.9%
2023-12-12T16:08:22.531604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 143
 
11.2%
이 43
 
3.4%
) 32
 
2.5%
업 32
 
2.5%
( 32
 
2.5%
주 29
 
2.3%
에 28
 
2.2%
스 27
 
2.1%
인 27
 
2.1%
산 23
 
1.8%
Other values (221) 857
67.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1039
81.6%
Other Symbol 143
 
11.2%
Close Punctuation 32
 
2.5%
Open Punctuation 32
 
2.5%
Space Separator 18
 
1.4%
Uppercase Letter 8
 
0.6%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 43
 
4.1%
업 32
 
3.1%
주 29
 
2.8%
에 28
 
2.7%
스 27
 
2.6%
인 27
 
2.6%
산 23
 
2.2%
사 22
 
2.1%
법 20
 
1.9%
유 19
 
1.8%
Other values (208) 769
74.0%
Uppercase Letter
ValueCountFrequency (%)
C 1
12.5%
E 1
12.5%
T 1
12.5%
I 1
12.5%
H 1
12.5%
D 1
12.5%
K 1
12.5%
S 1
12.5%
Other Symbol
ValueCountFrequency (%)
㈜ 143
100.0%
Close Punctuation
ValueCountFrequency (%)
) 32
100.0%
Open Punctuation
ValueCountFrequency (%)
( 32
100.0%
Space Separator
ValueCountFrequency (%)
18
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1182
92.9%
Common 83
 
6.5%
Latin 8
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 143
 
12.1%
이 43
 
3.6%
업 32
 
2.7%
주 29
 
2.5%
에 28
 
2.4%
스 27
 
2.3%
인 27
 
2.3%
산 23
 
1.9%
사 22
 
1.9%
법 20
 
1.7%
Other values (209) 788
66.7%
Latin
ValueCountFrequency (%)
C 1
12.5%
E 1
12.5%
T 1
12.5%
I 1
12.5%
H 1
12.5%
D 1
12.5%
K 1
12.5%
S 1
12.5%
Common
ValueCountFrequency (%)
) 32
38.6%
( 32
38.6%
18
21.7%
- 1
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1039
81.6%
None 143
 
11.2%
ASCII 91
 
7.1%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 143
100.0%
Hangul
ValueCountFrequency (%)
이 43
 
4.1%
업 32
 
3.1%
주 29
 
2.8%
에 28
 
2.7%
스 27
 
2.6%
인 27
 
2.6%
산 23
 
2.2%
사 22
 
2.1%
법 20
 
1.9%
유 19
 
1.8%
Other values (208) 769
74.0%
ASCII
ValueCountFrequency (%)
) 32
35.2%
( 32
35.2%
18
19.8%
C 1
 
1.1%
E 1
 
1.1%
T 1
 
1.1%
- 1
 
1.1%
I 1
 
1.1%
H 1
 
1.1%
D 1
 
1.1%
Other values (2) 2
 
2.2%

지정기간 시작일
Date

Distinct4
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
Minimum2021-08-01 00:00:00
Maximum2023-09-01 00:00:00
2023-12-12T16:08:22.682141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:08:22.809042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)

지정기간 종료일
Date

Distinct4
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
Minimum2024-07-31 00:00:00
Maximum2026-08-31 00:00:00
2023-12-12T16:08:22.953693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:08:23.086952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)

Correlations

2023-12-12T16:08:23.166576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지정연도시군지정기간 시작일지정기간 종료일
지정연도1.0000.0001.0001.000
시군0.0001.0000.3000.300
지정기간 시작일1.0000.3001.0001.000
지정기간 종료일1.0000.3001.0001.000
2023-12-12T16:08:23.268151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지정연도시군
지정연도1.0000.000
시군0.0001.000
2023-12-12T16:08:23.362565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지정연도시군
지정연도1.0000.000
시군0.0001.000

Missing values

2023-12-12T16:08:21.235210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:08:21.359655image/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

지정연도시군기업명지정기간 시작일지정기간 종료일
02023목포시㈜장보고조선2023-08-012026-07-31
12023목포시(유)유달조선2023-08-012026-07-31
22023목포시(유)휴먼테크2023-08-012026-07-31
32023목포시주식회사 가리미2023-08-012026-07-31
42023여수시㈜승진유공압테크2023-08-012026-07-31
52023여수시㈜디엠티2023-08-012026-07-31
62023여수시에스씨에스㈜2023-08-012026-07-31
72023여수시㈜대경엠앤아이2023-08-012026-07-31
82023순천시㈜유에너지2023-08-012026-07-31
92023순천시㈜현대콘트롤전기2023-08-012026-07-31
지정연도시군기업명지정기간 시작일지정기간 종료일
1832021함평군㈜맛나푸드2021-08-012024-07-31
1842021함평군㈜와이제이씨2021-08-012024-07-31
1852021함평군㈜천지환경2021-08-012024-07-31
1862021영광군㈜대풍이브이자동차2021-08-012024-07-31
1872021영광군미성영어조합법인2021-08-012024-07-31
1882021영광군㈜휴먼라이텍2021-08-012024-07-31
1892021장성군㈜참든건강과학2021-08-012024-07-31
1902021장성군㈜코스2021-08-012024-07-31
1912021장성군㈜피알테크2021-08-012024-07-31
1922021신안군㈜신안천사김2021-08-012024-07-31