Overview

Dataset statistics

Number of variables5
Number of observations10000
Missing cells460
Missing cells (%)0.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory478.5 KiB
Average record size in memory49.0 B

Variable types

Text4
Numeric1

Dataset

DescriptionSW산업정보종합시스템(swit.or.kr)의 SW사업자신청을 통해 수리가 완료된 회사의 회사 정보(회사명,대표이사,회사주소,홈페이지,재무현황연도) 일람.
Author정보통신산업진흥원
URLhttps://www.data.go.kr/data/15052274/fileData.do

Alerts

홈페이지 has 460 (4.6%) missing valuesMissing

Reproduction

Analysis started2023-12-12 15:47:18.589278
Analysis finished2023-12-12 15:47:20.248005
Duration1.66 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

회사명
Text

Distinct9933
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T00:47:20.401046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length36
Mean length8.7858
Min length1

Characters and Unicode

Total characters87858
Distinct characters863
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

Unique9868 ?
Unique (%)98.7%

Sample

1st row(주)나라지식정보
2nd row(주)봄
3rd row다원기술
4th row주식회사 대교씨엔에스
5th row(주)채널유니온
ValueCountFrequency (%)
주식회사 3255
 
23.0%
주 255
 
1.8%
유한회사 44
 
0.3%
co.,ltd 30
 
0.2%
ltd 24
 
0.2%
inc 24
 
0.2%
co 23
 
0.2%
사단법인 23
 
0.2%
12
 
0.1%
korea 10
 
0.1%
Other values (10164) 10447
73.8%
2023-12-13T00:47:20.785799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 7944
 
9.0%
) 4721
 
5.4%
( 4720
 
5.4%
4147
 
4.7%
사 3863
 
4.4%
회 3631
 
4.1%
식 3541
 
4.0%
이 3488
 
4.0%
스 3128
 
3.6%
에 1407
 
1.6%
Other values (853) 47268
53.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 70983
80.8%
Close Punctuation 4721
 
5.4%
Open Punctuation 4720
 
5.4%
Space Separator 4147
 
4.7%
Uppercase Letter 1662
 
1.9%
Lowercase Letter 1278
 
1.5%
Other Punctuation 244
 
0.3%
Decimal Number 87
 
0.1%
Dash Punctuation 14
 
< 0.1%
Currency Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 7944
 
11.2%
사 3863
 
5.4%
회 3631
 
5.1%
식 3541
 
5.0%
이 3488
 
4.9%
스 3128
 
4.4%
에 1407
 
2.0%
아 1402
 
2.0%
트 1122
 
1.6%
티 878
 
1.2%
Other values (781) 40579
57.2%
Uppercase Letter
ValueCountFrequency (%)
C 154
 
9.3%
I 139
 
8.4%
S 133
 
8.0%
T 127
 
7.6%
A 123
 
7.4%
O 114
 
6.9%
L 111
 
6.7%
E 96
 
5.8%
N 78
 
4.7%
M 71
 
4.3%
Other values (16) 516
31.0%
Lowercase Letter
ValueCountFrequency (%)
o 194
15.2%
t 131
10.3%
n 118
 
9.2%
e 108
 
8.5%
i 83
 
6.5%
d 80
 
6.3%
a 78
 
6.1%
c 70
 
5.5%
r 65
 
5.1%
s 56
 
4.4%
Other values (15) 295
23.1%
Decimal Number
ValueCountFrequency (%)
1 20
23.0%
2 16
18.4%
3 10
11.5%
0 9
10.3%
4 8
 
9.2%
5 8
 
9.2%
7 4
 
4.6%
9 4
 
4.6%
8 4
 
4.6%
6 4
 
4.6%
Other Punctuation
ValueCountFrequency (%)
. 156
63.9%
, 56
 
23.0%
& 25
 
10.2%
/ 6
 
2.5%
; 1
 
0.4%
Close Punctuation
ValueCountFrequency (%)
) 4721
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4720
100.0%
Space Separator
ValueCountFrequency (%)
4147
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 1
100.0%
Other Symbol
ValueCountFrequency (%)
ⓝ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 70969
80.8%
Common 13935
 
15.9%
Latin 2940
 
3.3%
Han 14
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 7944
 
11.2%
사 3863
 
5.4%
회 3631
 
5.1%
식 3541
 
5.0%
이 3488
 
4.9%
스 3128
 
4.4%
에 1407
 
2.0%
아 1402
 
2.0%
트 1122
 
1.6%
티 878
 
1.2%
Other values (767) 40565
57.2%
Latin
ValueCountFrequency (%)
o 194
 
6.6%
C 154
 
5.2%
I 139
 
4.7%
S 133
 
4.5%
t 131
 
4.5%
T 127
 
4.3%
A 123
 
4.2%
n 118
 
4.0%
O 114
 
3.9%
L 111
 
3.8%
Other values (41) 1596
54.3%
Common
ValueCountFrequency (%)
) 4721
33.9%
( 4720
33.9%
4147
29.8%
. 156
 
1.1%
, 56
 
0.4%
& 25
 
0.2%
1 20
 
0.1%
2 16
 
0.1%
- 14
 
0.1%
3 10
 
0.1%
Other values (11) 50
 
0.4%
Han
ValueCountFrequency (%)
大 1
 
7.1%
瞳 1
 
7.1%
株 1
 
7.1%
式 1
 
7.1%
會 1
 
7.1%
社 1
 
7.1%
映 1
 
7.1%
明 1
 
7.1%
電 1
 
7.1%
養 1
 
7.1%
Other values (4) 4
28.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 70969
80.8%
ASCII 16874
 
19.2%
CJK 14
 
< 0.1%
Enclosed Alphanum 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 7944
 
11.2%
사 3863
 
5.4%
회 3631
 
5.1%
식 3541
 
5.0%
이 3488
 
4.9%
스 3128
 
4.4%
에 1407
 
2.0%
아 1402
 
2.0%
트 1122
 
1.6%
티 878
 
1.2%
Other values (767) 40565
57.2%
ASCII
ValueCountFrequency (%)
) 4721
28.0%
( 4720
28.0%
4147
24.6%
o 194
 
1.1%
. 156
 
0.9%
C 154
 
0.9%
I 139
 
0.8%
S 133
 
0.8%
t 131
 
0.8%
T 127
 
0.8%
Other values (61) 2252
13.3%
CJK
ValueCountFrequency (%)
大 1
 
7.1%
瞳 1
 
7.1%
株 1
 
7.1%
式 1
 
7.1%
會 1
 
7.1%
社 1
 
7.1%
映 1
 
7.1%
明 1
 
7.1%
電 1
 
7.1%
養 1
 
7.1%
Other values (4) 4
28.6%
Enclosed Alphanum
ValueCountFrequency (%)
ⓝ 1
100.0%

대표이사
Text

Distinct8451
Distinct (%)84.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T00:47:21.239769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length3
Mean length3.2298
Min length2

Characters and Unicode

Total characters32298
Distinct characters385
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7400 ?
Unique (%)74.0%

Sample

1st row손영호
2nd row최제훤
3rd row김범수
4th row이령
5th row맹삼현
ValueCountFrequency (%)
외 10
 
0.1%
김영준 10
 
0.1%
이상호 9
 
0.1%
김성수 8
 
0.1%
김태영 8
 
0.1%
김정호 8
 
0.1%
이승우 7
 
0.1%
이상훈 7
 
0.1%
이성희 7
 
0.1%
김영진 7
 
0.1%
Other values (8628) 10263
99.2%
2023-12-13T00:47:21.879224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 2183
 
6.8%
이 1580
 
4.9%
정 1058
 
3.3%
영 925
 
2.9%
박 839
 
2.6%
성 707
 
2.2%
진 638
 
2.0%
현 579
 
1.8%
수 560
 
1.7%
호 542
 
1.7%
Other values (375) 22687
70.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 31097
96.3%
Uppercase Letter 413
 
1.3%
Other Punctuation 392
 
1.2%
Space Separator 344
 
1.1%
Lowercase Letter 20
 
0.1%
Decimal Number 16
 
< 0.1%
Open Punctuation 8
 
< 0.1%
Close Punctuation 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 2183
 
7.0%
이 1580
 
5.1%
정 1058
 
3.4%
영 925
 
3.0%
박 839
 
2.7%
성 707
 
2.3%
진 638
 
2.1%
현 579
 
1.9%
수 560
 
1.8%
호 542
 
1.7%
Other values (331) 21486
69.1%
Uppercase Letter
ValueCountFrequency (%)
N 52
12.6%
E 35
 
8.5%
O 35
 
8.5%
A 33
 
8.0%
I 27
 
6.5%
U 24
 
5.8%
H 23
 
5.6%
R 21
 
5.1%
G 21
 
5.1%
M 15
 
3.6%
Other values (15) 127
30.8%
Lowercase Letter
ValueCountFrequency (%)
a 4
20.0%
n 4
20.0%
t 2
10.0%
h 2
10.0%
e 2
10.0%
d 1
 
5.0%
r 1
 
5.0%
s 1
 
5.0%
k 1
 
5.0%
c 1
 
5.0%
Other Punctuation
ValueCountFrequency (%)
, 382
97.4%
. 8
 
2.0%
/ 2
 
0.5%
Decimal Number
ValueCountFrequency (%)
1 15
93.8%
2 1
 
6.2%
Space Separator
ValueCountFrequency (%)
344
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 31097
96.3%
Common 768
 
2.4%
Latin 433
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 2183
 
7.0%
이 1580
 
5.1%
정 1058
 
3.4%
영 925
 
3.0%
박 839
 
2.7%
성 707
 
2.3%
진 638
 
2.1%
현 579
 
1.9%
수 560
 
1.8%
호 542
 
1.7%
Other values (331) 21486
69.1%
Latin
ValueCountFrequency (%)
N 52
 
12.0%
E 35
 
8.1%
O 35
 
8.1%
A 33
 
7.6%
I 27
 
6.2%
U 24
 
5.5%
H 23
 
5.3%
R 21
 
4.8%
G 21
 
4.8%
M 15
 
3.5%
Other values (26) 147
33.9%
Common
ValueCountFrequency (%)
, 382
49.7%
344
44.8%
1 15
 
2.0%
. 8
 
1.0%
( 8
 
1.0%
) 8
 
1.0%
/ 2
 
0.3%
2 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 31097
96.3%
ASCII 1201
 
3.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 2183
 
7.0%
이 1580
 
5.1%
정 1058
 
3.4%
영 925
 
3.0%
박 839
 
2.7%
성 707
 
2.3%
진 638
 
2.1%
현 579
 
1.9%
수 560
 
1.8%
호 542
 
1.7%
Other values (331) 21486
69.1%
ASCII
ValueCountFrequency (%)
, 382
31.8%
344
28.6%
N 52
 
4.3%
E 35
 
2.9%
O 35
 
2.9%
A 33
 
2.7%
I 27
 
2.2%
U 24
 
2.0%
H 23
 
1.9%
R 21
 
1.7%
Other values (34) 225
18.7%

홈페이지
Text

MISSING 

Distinct5635
Distinct (%)59.1%
Missing460
Missing (%)4.6%
Memory size156.2 KiB
2023-12-13T00:47:22.415037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length66
Median length52
Mean length15.521279
Min length4

Characters and Unicode

Total characters148073
Distinct characters153
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5609 ?
Unique (%)58.8%

Sample

1st rowwww.narainformation.com
2nd rowhttp://
3rd rowhttp://
4th rowhttp://www.daekyocns.co.kr
5th rowhttp://www.chunion.co.kr
ValueCountFrequency (%)
http 3881
40.6%
www.dsnw.net 4
 
< 0.1%
http://www.mocomsys.com 2
 
< 0.1%
http://www 2
 
< 0.1%
www.gsinfo.co.kr 2
 
< 0.1%
http://www.gh-design.co.kr 2
 
< 0.1%
http://www.blueark.com 2
 
< 0.1%
http://www.sourcers.co.kr 2
 
< 0.1%
http://www.korea-soft.com 2
 
< 0.1%
http://swinno.co.kr 2
 
< 0.1%
Other values (5634) 5651
59.2%
2023-12-13T00:47:22.946457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
t 20173
13.6%
/ 17284
11.7%
w 13573
 
9.2%
. 12983
 
8.8%
h 9506
 
6.4%
p 9484
 
6.4%
: 8487
 
5.7%
o 8333
 
5.6%
c 6842
 
4.6%
r 5495
 
3.7%
Other values (143) 35913
24.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 108144
73.0%
Other Punctuation 38775
 
26.2%
Decimal Number 527
 
0.4%
Dash Punctuation 382
 
0.3%
Other Letter 123
 
0.1%
Uppercase Letter 95
 
0.1%
Space Separator 12
 
< 0.1%
Connector Punctuation 8
 
< 0.1%
Open Punctuation 3
 
< 0.1%
Close Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
디 5
 
4.1%
스 5
 
4.1%
기 5
 
4.1%
이 4
 
3.3%
한 3
 
2.4%
인 3
 
2.4%
에 3
 
2.4%
림 3
 
2.4%
사 2
 
1.6%
중 2
 
1.6%
Other values (73) 88
71.5%
Lowercase Letter
ValueCountFrequency (%)
t 20173
18.7%
w 13573
12.6%
h 9506
8.8%
p 9484
8.8%
o 8333
 
7.7%
c 6842
 
6.3%
r 5495
 
5.1%
e 4356
 
4.0%
k 4265
 
3.9%
n 3701
 
3.4%
Other values (16) 22416
20.7%
Uppercase Letter
ValueCountFrequency (%)
W 10
10.5%
O 10
10.5%
R 9
 
9.5%
C 9
 
9.5%
I 8
 
8.4%
M 6
 
6.3%
K 5
 
5.3%
S 5
 
5.3%
T 5
 
5.3%
N 5
 
5.3%
Other values (10) 23
24.2%
Decimal Number
ValueCountFrequency (%)
2 140
26.6%
1 137
26.0%
4 63
12.0%
0 49
 
9.3%
3 46
 
8.7%
5 29
 
5.5%
9 22
 
4.2%
7 18
 
3.4%
6 13
 
2.5%
8 10
 
1.9%
Other Punctuation
ValueCountFrequency (%)
/ 17284
44.6%
. 12983
33.5%
: 8487
21.9%
, 10
 
< 0.1%
@ 8
 
< 0.1%
; 1
 
< 0.1%
# 1
 
< 0.1%
? 1
 
< 0.1%
Dash Punctuation
ValueCountFrequency (%)
- 382
100.0%
Space Separator
ValueCountFrequency (%)
12
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Math Symbol
ValueCountFrequency (%)
= 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 108239
73.1%
Common 39711
 
26.8%
Hangul 123
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
디 5
 
4.1%
스 5
 
4.1%
기 5
 
4.1%
이 4
 
3.3%
한 3
 
2.4%
인 3
 
2.4%
에 3
 
2.4%
림 3
 
2.4%
사 2
 
1.6%
중 2
 
1.6%
Other values (73) 88
71.5%
Latin
ValueCountFrequency (%)
t 20173
18.6%
w 13573
12.5%
h 9506
8.8%
p 9484
8.8%
o 8333
 
7.7%
c 6842
 
6.3%
r 5495
 
5.1%
e 4356
 
4.0%
k 4265
 
3.9%
n 3701
 
3.4%
Other values (36) 22511
20.8%
Common
ValueCountFrequency (%)
/ 17284
43.5%
. 12983
32.7%
: 8487
21.4%
- 382
 
1.0%
2 140
 
0.4%
1 137
 
0.3%
4 63
 
0.2%
0 49
 
0.1%
3 46
 
0.1%
5 29
 
0.1%
Other values (14) 111
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 147950
99.9%
Hangul 123
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t 20173
13.6%
/ 17284
11.7%
w 13573
 
9.2%
. 12983
 
8.8%
h 9506
 
6.4%
p 9484
 
6.4%
: 8487
 
5.7%
o 8333
 
5.6%
c 6842
 
4.6%
r 5495
 
3.7%
Other values (60) 35790
24.2%
Hangul
ValueCountFrequency (%)
디 5
 
4.1%
스 5
 
4.1%
기 5
 
4.1%
이 4
 
3.3%
한 3
 
2.4%
인 3
 
2.4%
에 3
 
2.4%
림 3
 
2.4%
사 2
 
1.6%
중 2
 
1.6%
Other values (73) 88
71.5%

본사주소
Text

Distinct9959
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T00:47:23.335130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length85
Median length63
Mean length35.6798
Min length6

Characters and Unicode

Total characters356798
Distinct characters767
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9918 ?
Unique (%)99.2%

Sample

1st row서울특별시 종로구 삼봉로 81, 409호(수송동, 두산위브파빌리온)
2nd row전라북도 고창군 고수면 고수농공단지길 58
3rd row경기도 안산시 단원구 원곡동 931 청년창업사관학교209-B
4th row서울특별시 관악구 보라매로3길 23(봉천동, 대교빌딩 7층)
5th row서울 영등포구 여의도동 라이프콤비빌딩 724호
ValueCountFrequency (%)
서울특별시 3790
 
5.7%
경기도 1800
 
2.7%
강남구 724
 
1.1%
2층 606
 
0.9%
3층 542
 
0.8%
금천구 514
 
0.8%
부산광역시 469
 
0.7%
대전광역시 462
 
0.7%
서초구 446
 
0.7%
영등포구 377
 
0.6%
Other values (16973) 56872
85.4%
2023-12-13T00:47:23.992382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
56602
 
15.9%
1 13773
 
3.9%
, 12295
 
3.4%
동 12206
 
3.4%
로 9963
 
2.8%
시 9719
 
2.7%
구 9326
 
2.6%
2 9290
 
2.6%
) 9129
 
2.6%
( 9110
 
2.6%
Other values (757) 205385
57.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 203398
57.0%
Decimal Number 61823
 
17.3%
Space Separator 56602
 
15.9%
Other Punctuation 12369
 
3.5%
Close Punctuation 9129
 
2.6%
Open Punctuation 9110
 
2.6%
Dash Punctuation 2099
 
0.6%
Uppercase Letter 1927
 
0.5%
Lowercase Letter 265
 
0.1%
Math Symbol 70
 
< 0.1%
Other values (3) 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 12206
 
6.0%
로 9963
 
4.9%
시 9719
 
4.8%
구 9326
 
4.6%
서 6342
 
3.1%
호 5735
 
2.8%
울 4488
 
2.2%
도 4378
 
2.2%
길 4172
 
2.1%
별 4053
 
2.0%
Other values (681) 133016
65.4%
Uppercase Letter
ValueCountFrequency (%)
B 270
14.0%
A 243
12.6%
T 215
11.2%
I 204
10.6%
S 149
7.7%
C 139
 
7.2%
K 137
 
7.1%
E 81
 
4.2%
D 74
 
3.8%
R 53
 
2.8%
Other values (16) 362
18.8%
Lowercase Letter
ValueCountFrequency (%)
e 52
19.6%
t 29
10.9%
r 28
10.6%
n 28
10.6%
c 21
7.9%
o 16
 
6.0%
k 12
 
4.5%
s 11
 
4.2%
i 11
 
4.2%
w 10
 
3.8%
Other values (14) 47
17.7%
Decimal Number
ValueCountFrequency (%)
1 13773
22.3%
2 9290
15.0%
0 7734
12.5%
3 6903
11.2%
4 5204
 
8.4%
5 4957
 
8.0%
6 4179
 
6.8%
7 3590
 
5.8%
8 3314
 
5.4%
9 2879
 
4.7%
Other Punctuation
ValueCountFrequency (%)
, 12295
99.4%
. 36
 
0.3%
， 16
 
0.1%
/ 13
 
0.1%
& 5
 
< 0.1%
· 3
 
< 0.1%
: 1
 
< 0.1%
Letter Number
ValueCountFrequency (%)
Ⅱ 3
75.0%
Ⅲ 1
 
25.0%
Space Separator
ValueCountFrequency (%)
56602
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9129
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9110
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2099
100.0%
Math Symbol
ValueCountFrequency (%)
~ 70
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Other Symbol
ValueCountFrequency (%)
ⓝ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 203397
57.0%
Common 151204
42.4%
Latin 2196
 
0.6%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 12206
 
6.0%
로 9963
 
4.9%
시 9719
 
4.8%
구 9326
 
4.6%
서 6342
 
3.1%
호 5735
 
2.8%
울 4488
 
2.2%
도 4378
 
2.2%
길 4172
 
2.1%
별 4053
 
2.0%
Other values (680) 133015
65.4%
Latin
ValueCountFrequency (%)
B 270
12.3%
A 243
 
11.1%
T 215
 
9.8%
I 204
 
9.3%
S 149
 
6.8%
C 139
 
6.3%
K 137
 
6.2%
E 81
 
3.7%
D 74
 
3.4%
R 53
 
2.4%
Other values (42) 631
28.7%
Common
ValueCountFrequency (%)
56602
37.4%
1 13773
 
9.1%
, 12295
 
8.1%
2 9290
 
6.1%
) 9129
 
6.0%
( 9110
 
6.0%
0 7734
 
5.1%
3 6903
 
4.6%
4 5204
 
3.4%
5 4957
 
3.3%
Other values (14) 16207
 
10.7%
Han
ValueCountFrequency (%)
內 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 203397
57.0%
ASCII 153376
43.0%
None 19
 
< 0.1%
Number Forms 4
 
< 0.1%
Enclosed Alphanum 1
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
56602
36.9%
1 13773
 
9.0%
, 12295
 
8.0%
2 9290
 
6.1%
) 9129
 
6.0%
( 9110
 
5.9%
0 7734
 
5.0%
3 6903
 
4.5%
4 5204
 
3.4%
5 4957
 
3.2%
Other values (61) 18379
 
12.0%
Hangul
ValueCountFrequency (%)
동 12206
 
6.0%
로 9963
 
4.9%
시 9719
 
4.8%
구 9326
 
4.6%
서 6342
 
3.1%
호 5735
 
2.8%
울 4488
 
2.2%
도 4378
 
2.2%
길 4172
 
2.1%
별 4053
 
2.0%
Other values (680) 133015
65.4%
None
ValueCountFrequency (%)
， 16
84.2%
· 3
 
15.8%
Number Forms
ValueCountFrequency (%)
Ⅱ 3
75.0%
Ⅲ 1
 
25.0%
Enclosed Alphanum
ValueCountFrequency (%)
ⓝ 1
100.0%
CJK
ValueCountFrequency (%)
內 1
100.0%

재무현황연도
Real number (ℝ)

Distinct16
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2016.8117
Minimum2007
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T00:47:24.169393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2007
5-th percentile2008
Q12013
median2019
Q32021
95-th percentile2021
Maximum2022
Range15
Interquartile range (IQR)8

Descriptive statistics

Standard deviation4.4666585
Coefficient of variation (CV)0.0022147127
Kurtosis-0.7197054
Mean2016.8117
Median Absolute Deviation (MAD)2
Skewness-0.8045934
Sum20168117
Variance19.951038
MonotonicityNot monotonic
2023-12-13T00:47:24.314301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
2021 2844
28.4%
2020 1393
13.9%
2019 905
 
9.0%
2018 594
 
5.9%
2017 469
 
4.7%
2015 447
 
4.5%
2010 405
 
4.0%
2014 405
 
4.0%
2016 395
 
4.0%
2012 382
 
3.8%
Other values (6) 1761
17.6%
ValueCountFrequency (%)
2007 311
3.1%
2008 367
3.7%
2009 370
3.7%
2010 405
4.0%
2011 310
3.1%
2012 382
3.8%
2013 375
3.8%
2014 405
4.0%
2015 447
4.5%
2016 395
4.0%
ValueCountFrequency (%)
2022 28
 
0.3%
2021 2844
28.4%
2020 1393
13.9%
2019 905
 
9.0%
2018 594
 
5.9%
2017 469
 
4.7%
2016 395
 
4.0%
2015 447
 
4.5%
2014 405
 
4.0%
2013 375
 
3.8%

Interactions

2023-12-13T00:47:19.956822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-13T00:47:20.081237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:47:20.191482image/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

회사명대표이사홈페이지본사주소재무현황연도
12855(주)나라지식정보손영호www.narainformation.com서울특별시 종로구 삼봉로 81, 409호(수송동, 두산위브파빌리온)2021
34875(주)봄최제훤http://전라북도 고창군 고수면 고수농공단지길 582020
9896다원기술김범수http://경기도 안산시 단원구 원곡동 931 청년창업사관학교209-B2011
7034주식회사 대교씨엔에스이령http://www.daekyocns.co.kr서울특별시 관악구 보라매로3길 23(봉천동, 대교빌딩 7층)2021
6611(주)채널유니온맹삼현http://www.chunion.co.kr서울 영등포구 여의도동 라이프콤비빌딩 724호2012
39135주식회사 오투오즈송영석http://company.o2oz.net서울특별시 금천구 서부샛길 606, 에이동 610호 (가산동, 대성디폴리스지식산업센터)2017
123(주)합동기술사사무소성우엄기형http://www.eom.co.kr서울특별시 서초구 서운로 43, 서암빌딩 4층 (서초동)2009
16376동성 C&T서동목www.ds-sound.co.kr부산광역시 부산진구 중앙대로 954-1 (양정동)2008
20292(주)네오퓨쳐텍김용삼www.neoft.com대전광역시 유성구 가정북로 96, 대전시중소기업종합지원센터 701호 (장동)2007
12281주식회사 석미원현주<NA>강원도 춘천시 동면 금베이길 1002021
회사명대표이사홈페이지본사주소재무현황연도
36385주식회사 유동고성동<NA>전라남도 강진군 군동면 까치내로 82021
42773주식회사 젠넷김수종http://제주특별자치도 제주시 원노형2길 33, 902호 (노형동, 해모루)2019
9375(주)대건정보허호건http://경기도 성남시 분당구 장미로 42, 212호 (야탑동)2017
33464레이웹전혜령http://rayweb.kr경기도 수원시 권선구 권선로 448, 403호 (평동)2015
17735(주) 한맥소프트웨어권순모www.hanmac.com서울특별시 강남구 테헤란로84길 16 , 4층 (대치동,세풍빌딩)2021
27945정도한기범<NA>경기도 의왕시 부곡복지관길 42 (삼동,상가동제202호)2013
49099주식회사 모빌엑스최동욱http://mobilx.co.kr/경기도 성남시 분당구 황새울로 216, 702-2호(수내동, 휴맥스빌리지)2020
10532태솔컴퓨텍임형완http://충청북도 제천시 신백로8길 4 (신백동)2011
36274주식회사 에스티알김옥숙http://경상북도 경산시 강변서로53길 15-5 (정평동)2020
39076에이펙스인텍(주)김권진http://www.apexint.co.kr경상북도 칠곡군 가산면 인동가산로 619-92020