Overview

Dataset statistics

Number of variables4
Number of observations1973
Missing cells0
Missing cells (%)0.0%
Duplicate rows2
Duplicate rows (%)0.1%
Total size in memory61.8 KiB
Average record size in memory32.1 B

Variable types

Text4

Dataset

Description충청남도에 본사 또는 공장이 소재한 중소수출 기업 현황에 대한 데이터로 기업명, 소재지, 수출품목의 항목을 제공합니다. 출처는 충남 온라인수출지원시스템 가입 기업입니다.
Author충청남도
URLhttps://www.data.go.kr/data/3062422/fileData.do

Alerts

Dataset has 2 (0.1%) duplicate rowsDuplicates

Reproduction

Analysis started2024-03-14 11:57:27.025720
Analysis finished2024-03-14 11:57:28.811553
Duration1.79 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기업명
Text

Distinct1958
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size15.5 KiB
2024-03-14T20:57:29.629739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length18
Mean length7.9802331
Min length1

Characters and Unicode

Total characters15745
Distinct characters626
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1943 ?
Unique (%)98.5%

Sample

1st row가온에프앤비
2nd row녹십자엠에스
3rd row가온팜주식회사농업회사법인
4th row주식회사 디코
5th row농업회사법인 논산고구마주식회사
ValueCountFrequency (%)
주식회사 358
 
14.2%
농업회사법인 40
 
1.6%
주 36
 
1.4%
유한회사 6
 
0.2%
영농조합법인 4
 
0.2%
코리아 4
 
0.2%
협동조합 3
 
0.1%
바이오텍 3
 
0.1%
영어조합법인 3
 
0.1%
농업회사 3
 
0.1%
Other values (2018) 2057
81.7%
2024-03-14T20:57:30.915234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 1410
 
9.0%
) 973
 
6.2%
( 964
 
6.1%
이 589
 
3.7%
사 588
 
3.7%
회 559
 
3.6%
545
 
3.5%
식 489
 
3.1%
스 439
 
2.8%
에 295
 
1.9%
Other values (616) 8894
56.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12909
82.0%
Close Punctuation 974
 
6.2%
Open Punctuation 965
 
6.1%
Space Separator 545
 
3.5%
Uppercase Letter 187
 
1.2%
Lowercase Letter 109
 
0.7%
Decimal Number 25
 
0.2%
Other Punctuation 24
 
0.2%
Other Symbol 3
 
< 0.1%
Dash Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 1410
 
10.9%
이 589
 
4.6%
사 588
 
4.6%
회 559
 
4.3%
식 489
 
3.8%
스 439
 
3.4%
에 295
 
2.3%
인 244
 
1.9%
업 186
 
1.4%
아 180
 
1.4%
Other values (556) 7930
61.4%
Uppercase Letter
ValueCountFrequency (%)
S 20
 
10.7%
A 19
 
10.2%
M 13
 
7.0%
K 12
 
6.4%
P 12
 
6.4%
C 11
 
5.9%
O 11
 
5.9%
G 10
 
5.3%
H 10
 
5.3%
B 10
 
5.3%
Other values (10) 59
31.6%
Lowercase Letter
ValueCountFrequency (%)
o 15
13.8%
a 11
10.1%
e 10
9.2%
m 9
8.3%
t 9
8.3%
r 8
 
7.3%
s 8
 
7.3%
d 8
 
7.3%
n 5
 
4.6%
h 5
 
4.6%
Other values (9) 21
19.3%
Decimal Number
ValueCountFrequency (%)
2 6
24.0%
1 6
24.0%
5 3
12.0%
3 3
12.0%
6 2
 
8.0%
8 2
 
8.0%
7 1
 
4.0%
4 1
 
4.0%
0 1
 
4.0%
Other Punctuation
ValueCountFrequency (%)
. 13
54.2%
& 8
33.3%
, 2
 
8.3%
: 1
 
4.2%
Close Punctuation
ValueCountFrequency (%)
) 973
99.9%
] 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 964
99.9%
[ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
545
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12911
82.0%
Common 2537
 
16.1%
Latin 296
 
1.9%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 1410
 
10.9%
이 589
 
4.6%
사 588
 
4.6%
회 559
 
4.3%
식 489
 
3.8%
스 439
 
3.4%
에 295
 
2.3%
인 244
 
1.9%
업 186
 
1.4%
아 180
 
1.4%
Other values (556) 7932
61.4%
Latin
ValueCountFrequency (%)
S 20
 
6.8%
A 19
 
6.4%
o 15
 
5.1%
M 13
 
4.4%
K 12
 
4.1%
P 12
 
4.1%
a 11
 
3.7%
C 11
 
3.7%
O 11
 
3.7%
G 10
 
3.4%
Other values (29) 162
54.7%
Common
ValueCountFrequency (%)
) 973
38.4%
( 964
38.0%
545
21.5%
. 13
 
0.5%
& 8
 
0.3%
2 6
 
0.2%
1 6
 
0.2%
5 3
 
0.1%
3 3
 
0.1%
- 3
 
0.1%
Other values (10) 13
 
0.5%
Han
ValueCountFrequency (%)
美 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12908
82.0%
ASCII 2833
 
18.0%
None 3
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 1410
 
10.9%
이 589
 
4.6%
사 588
 
4.6%
회 559
 
4.3%
식 489
 
3.8%
스 439
 
3.4%
에 295
 
2.3%
인 244
 
1.9%
업 186
 
1.4%
아 180
 
1.4%
Other values (555) 7929
61.4%
ASCII
ValueCountFrequency (%)
) 973
34.3%
( 964
34.0%
545
19.2%
S 20
 
0.7%
A 19
 
0.7%
o 15
 
0.5%
. 13
 
0.5%
M 13
 
0.5%
K 12
 
0.4%
P 12
 
0.4%
Other values (49) 247
 
8.7%
None
ValueCountFrequency (%)
㈜ 3
100.0%
CJK
ValueCountFrequency (%)
美 1
100.0%

본사 소재지
Text

Distinct99
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size15.5 KiB
2024-03-14T20:57:31.530257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length6
Mean length6.5605677
Min length5

Characters and Unicode

Total characters12944
Distinct characters81
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

Unique36 ?
Unique (%)1.8%

Sample

1st row충남 천안시
2nd row경기 용인시
3rd row충남 논산시
4th row충남 천안시
5th row충남 논산시
ValueCountFrequency (%)
충남 1322
33.5%
천안시 695
17.6%
충청남도 497
 
12.6%
아산시 375
 
9.5%
금산군 137
 
3.5%
당진시 97
 
2.5%
논산시 92
 
2.3%
홍성군 72
 
1.8%
예산군 71
 
1.8%
공주시 59
 
1.5%
Other values (74) 525
 
13.3%
2024-03-14T20:57:32.360883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1969
15.2%
남 1855
14.3%
충 1822
14.1%
시 1522
11.8%
천 759
 
5.9%
산 735
 
5.7%
안 721
 
5.6%
청 521
 
4.0%
도 510
 
3.9%
군 392
 
3.0%
Other values (71) 2138
16.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10975
84.8%
Space Separator 1969
 
15.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 1855
16.9%
충 1822
16.6%
시 1522
13.9%
천 759
6.9%
산 735
 
6.7%
안 721
 
6.6%
청 521
 
4.7%
도 510
 
4.6%
군 392
 
3.6%
아 375
 
3.4%
Other values (70) 1763
16.1%
Space Separator
ValueCountFrequency (%)
1969
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10975
84.8%
Common 1969
 
15.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 1855
16.9%
충 1822
16.6%
시 1522
13.9%
천 759
6.9%
산 735
 
6.7%
안 721
 
6.6%
청 521
 
4.7%
도 510
 
4.6%
군 392
 
3.6%
아 375
 
3.4%
Other values (70) 1763
16.1%
Common
ValueCountFrequency (%)
1969
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10975
84.8%
ASCII 1969
 
15.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1969
100.0%
Hangul
ValueCountFrequency (%)
남 1855
16.9%
충 1822
16.6%
시 1522
13.9%
천 759
6.9%
산 735
 
6.7%
안 721
 
6.6%
청 521
 
4.7%
도 510
 
4.6%
군 392
 
3.6%
아 375
 
3.4%
Other values (70) 1763
16.1%

공장 소재지
Text

Distinct58
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size15.5 KiB
2024-03-14T20:57:32.912670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length6
Mean length6.5504308
Min length5

Characters and Unicode

Total characters12924
Distinct characters58
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

Unique18 ?
Unique (%)0.9%

Sample

1st row충남 천안시
2nd row충남 천안시
3rd row충남 논산시
4th row충남 천안시
5th row충남 논산시
ValueCountFrequency (%)
충남 1395
35.4%
천안시 715
18.1%
충청남도 535
 
13.6%
아산시 394
 
10.0%
금산군 154
 
3.9%
당진시 105
 
2.7%
논산시 103
 
2.6%
예산군 79
 
2.0%
홍성군 73
 
1.8%
공주시 69
 
1.7%
Other values (39) 324
 
8.2%
2024-03-14T20:57:33.923311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1973
15.3%
충 1941
15.0%
남 1934
15.0%
시 1536
11.9%
산 791
6.1%
천 767
 
5.9%
안 739
 
5.7%
청 567
 
4.4%
도 543
 
4.2%
군 431
 
3.3%
Other values (48) 1702
13.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10951
84.7%
Space Separator 1973
 
15.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
충 1941
17.7%
남 1934
17.7%
시 1536
14.0%
산 791
7.2%
천 767
 
7.0%
안 739
 
6.7%
청 567
 
5.2%
도 543
 
5.0%
군 431
 
3.9%
아 394
 
3.6%
Other values (47) 1308
11.9%
Space Separator
ValueCountFrequency (%)
1973
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10951
84.7%
Common 1973
 
15.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
충 1941
17.7%
남 1934
17.7%
시 1536
14.0%
산 791
7.2%
천 767
 
7.0%
안 739
 
6.7%
청 567
 
5.2%
도 543
 
5.0%
군 431
 
3.9%
아 394
 
3.6%
Other values (47) 1308
11.9%
Common
ValueCountFrequency (%)
1973
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10951
84.7%
ASCII 1973
 
15.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1973
100.0%
Hangul
ValueCountFrequency (%)
충 1941
17.7%
남 1934
17.7%
시 1536
14.0%
산 791
7.2%
천 767
 
7.0%
안 739
 
6.7%
청 567
 
5.2%
도 543
 
5.0%
군 431
 
3.9%
아 394
 
3.6%
Other values (47) 1308
11.9%

수출품목
Text

Distinct787
Distinct (%)39.9%
Missing0
Missing (%)0.0%
Memory size15.5 KiB
2024-03-14T20:57:35.010317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length37
Mean length6.9538773
Min length1

Characters and Unicode

Total characters13720
Distinct characters509
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique661 ?
Unique (%)33.5%

Sample

1st row농산가공품
2nd row의료기기
3rd row농산가공품,수산가공품,기타농산물
4th row자동화 장비
5th row농산가공품
ValueCountFrequency (%)
농산가공품 147
 
6.0%
플라스틱 91
 
3.7%
제품 88
 
3.6%
자동차부품 77
 
3.1%
수산가공품 65
 
2.6%
기타생활용품 49
 
2.0%
비누치약및화장품 44
 
1.8%
반도체제조용장비 42
 
1.7%
화장품 38
 
1.5%
기타철강금속제품 33
 
1.3%
Other values (969) 1793
72.7%
2024-03-14T20:57:36.514313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
품 1012
 
7.4%
기 921
 
6.7%
494
 
3.6%
제 429
 
3.1%
타 407
 
3.0%
공 374
 
2.7%
산 362
 
2.6%
가 321
 
2.3%
, 290
 
2.1%
용 272
 
2.0%
Other values (499) 8838
64.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12182
88.8%
Space Separator 494
 
3.6%
Other Punctuation 373
 
2.7%
Lowercase Letter 365
 
2.7%
Uppercase Letter 251
 
1.8%
Open Punctuation 22
 
0.2%
Close Punctuation 22
 
0.2%
Decimal Number 10
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
품 1012
 
8.3%
기 921
 
7.6%
제 429
 
3.5%
타 407
 
3.3%
공 374
 
3.1%
산 362
 
3.0%
가 321
 
2.6%
용 272
 
2.2%
장 235
 
1.9%
농 215
 
1.8%
Other values (444) 7634
62.7%
Lowercase Letter
ValueCountFrequency (%)
e 55
15.1%
r 37
10.1%
t 36
9.9%
i 30
8.2%
o 29
7.9%
l 25
 
6.8%
c 25
 
6.8%
a 23
 
6.3%
n 20
 
5.5%
s 15
 
4.1%
Other values (14) 70
19.2%
Uppercase Letter
ValueCountFrequency (%)
C 30
12.0%
P 26
 
10.4%
E 22
 
8.8%
L 17
 
6.8%
V 16
 
6.4%
T 16
 
6.4%
D 15
 
6.0%
S 15
 
6.0%
A 14
 
5.6%
B 13
 
5.2%
Other values (12) 67
26.7%
Other Punctuation
ValueCountFrequency (%)
, 290
77.7%
. 72
 
19.3%
/ 11
 
2.9%
Decimal Number
ValueCountFrequency (%)
2 7
70.0%
3 3
30.0%
Space Separator
ValueCountFrequency (%)
494
100.0%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12182
88.8%
Common 922
 
6.7%
Latin 616
 
4.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
품 1012
 
8.3%
기 921
 
7.6%
제 429
 
3.5%
타 407
 
3.3%
공 374
 
3.1%
산 362
 
3.0%
가 321
 
2.6%
용 272
 
2.2%
장 235
 
1.9%
농 215
 
1.8%
Other values (444) 7634
62.7%
Latin
ValueCountFrequency (%)
e 55
 
8.9%
r 37
 
6.0%
t 36
 
5.8%
C 30
 
4.9%
i 30
 
4.9%
o 29
 
4.7%
P 26
 
4.2%
l 25
 
4.1%
c 25
 
4.1%
a 23
 
3.7%
Other values (36) 300
48.7%
Common
ValueCountFrequency (%)
494
53.6%
, 290
31.5%
. 72
 
7.8%
( 22
 
2.4%
) 22
 
2.4%
/ 11
 
1.2%
2 7
 
0.8%
3 3
 
0.3%
- 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12182
88.8%
ASCII 1538
 
11.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
품 1012
 
8.3%
기 921
 
7.6%
제 429
 
3.5%
타 407
 
3.3%
공 374
 
3.1%
산 362
 
3.0%
가 321
 
2.6%
용 272
 
2.2%
장 235
 
1.9%
농 215
 
1.8%
Other values (444) 7634
62.7%
ASCII
ValueCountFrequency (%)
494
32.1%
, 290
18.9%
. 72
 
4.7%
e 55
 
3.6%
r 37
 
2.4%
t 36
 
2.3%
C 30
 
2.0%
i 30
 
2.0%
o 29
 
1.9%
P 26
 
1.7%
Other values (45) 439
28.5%

Correlations

2024-03-14T20:57:36.774124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
본사 소재지공장 소재지
본사 소재지1.0000.994
공장 소재지0.9941.000

Missing values

2024-03-14T20:57:28.406288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T20:57:28.696422image/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

기업명본사 소재지공장 소재지수출품목
0가온에프앤비충남 천안시충남 천안시농산가공품
1녹십자엠에스경기 용인시충남 천안시의료기기
2가온팜주식회사농업회사법인충남 논산시충남 논산시농산가공품,수산가공품,기타농산물
3주식회사 디코충남 천안시충남 천안시자동화 장비
4농업회사법인 논산고구마주식회사충남 논산시충남 논산시농산가공품
5주식회사퓨처테크충남 아산시충남 아산시유선통신기기
6딥세일즈충남 아산시충남 아산시K-Pop 굿즈
7(주)지에이피충남 아산시충남 아산시자동차부품
8농업회사법인 로가바이오 주식회사충남 태안군충남 태안군기타농산물
9야타브엔터서울 성동구충남 천안시sw
기업명본사 소재지공장 소재지수출품목
1963(주)보덕에프앤지충청남도 금산군충청남도 금산군농산가공품
1964(주)쓰리제이충청남도 논산시충청남도 논산시샤워용품
1965(주)쿠스코충청남도 아산시충청남도 아산시기타생활용품,기타생활용품
1966광천토굴전통식품충청남도 홍성군충청남도 홍성군농산가공품
1967주식회사 노블오카리나충청남도 홍성군충청남도 홍성군관악기,오카리나
1968(주)스킨렉스경기도 성남시충청남도 천안시의료용기기
1969(주)우창충청남도 서산시충청남도 서산시PVC안정제
1970갓바위식품(주)충남 보령시충남 보령시수산가공품,해조류
1971농업회사법인 하늘빛(주)충청남도 공주시충청남도 공주시농산가공품
1972빌드켐 주식회사충남 공주시충남 공주시도료및잉크,드라이몰탈

Duplicate rows

Most frequently occurring

기업명본사 소재지공장 소재지수출품목# duplicates
0금산인삼협동조합충남 금산군충남 금산군농산가공품2
1주식회사 블루마마충남 천안시충남 천안시실리콘유아식기류2