Overview

Dataset statistics

Number of variables4
Number of observations591
Missing cells278
Missing cells (%)11.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory18.6 KiB
Average record size in memory32.2 B

Variable types

Categorical1
Text3

Alerts

URL has 278 (47.0%) missing valuesMissing

Reproduction

Analysis started2024-03-12 23:30:23.568929
Analysis finished2024-03-12 23:30:23.988314
Duration0.42 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

Distinct14
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size4.7 KiB
전시디자인설치
311 
전기시설
53 
가구비품
42 
광고싸인물
39 
카펫/파이텍스
36 
Other values (9)
110 

Length

Max length7
Median length7
Mean length5.6615905
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row전시디자인설치
2nd row전시디자인설치
3rd row광고싸인물
4th row전시디자인설치
5th row광고싸인물

Common Values

ValueCountFrequency (%)
전시디자인설치 311
52.6%
전기시설 53
 
9.0%
가구비품 42
 
7.1%
광고싸인물 39
 
6.6%
카펫/파이텍스 36
 
6.1%
경비용역 29
 
4.9%
리깅 22
 
3.7%
운수통관 17
 
2.9%
철거 17
 
2.9%
방염 12
 
2.0%
Other values (4) 13
 
2.2%

Length

2024-03-13T08:30:24.045499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
전시디자인설치 311
52.6%
전기시설 53
 
9.0%
가구비품 42
 
7.1%
광고싸인물 39
 
6.6%
카펫/파이텍스 36
 
6.1%
경비용역 29
 
4.9%
리깅 22
 
3.7%
운수통관 17
 
2.9%
철거 17
 
2.9%
방염 12
 
2.0%
Other values (4) 13
 
2.2%
Distinct564
Distinct (%)95.4%
Missing0
Missing (%)0.0%
Memory size4.7 KiB
2024-03-13T08:30:24.216578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length13
Mean length7.2335025
Min length2

Characters and Unicode

Total characters4275
Distinct characters355
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique540 ?
Unique (%)91.4%

Sample

1st row주식회사 큐베스트
2nd row㈜큐브라인커뮤니케이션
3rd row크리에이티브꾼
4th row크리에잇 어소시에이츠
5th row㈜킨비즈커뮤니케이션
ValueCountFrequency (%)
주식회사 129
 
17.6%
웰디자인 3
 
0.4%
엠빅㈜ 3
 
0.4%
㈜제이엘컴퍼니 3
 
0.4%
㈜엠에이치컴퍼니 2
 
0.3%
2
 
0.3%
㈜인터내셔날서비스비지니스 2
 
0.3%
㈜더스테이지 2
 
0.3%
㈜경동기획 2
 
0.3%
㈜미래전시 2
 
0.3%
Other values (565) 581
79.5%
2024-03-13T08:30:24.512732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
279
 
6.5%
247
 
5.8%
201
 
4.7%
173
 
4.0%
169
 
4.0%
168
 
3.9%
168
 
3.9%
140
 
3.3%
140
 
3.3%
127
 
3.0%
Other values (345) 2463
57.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3834
89.7%
Other Symbol 279
 
6.5%
Space Separator 140
 
3.3%
Uppercase Letter 15
 
0.4%
Decimal Number 6
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
247
 
6.4%
201
 
5.2%
173
 
4.5%
169
 
4.4%
168
 
4.4%
168
 
4.4%
140
 
3.7%
127
 
3.3%
93
 
2.4%
89
 
2.3%
Other values (329) 2259
58.9%
Uppercase Letter
ValueCountFrequency (%)
C 4
26.7%
T 2
13.3%
I 2
13.3%
F 2
13.3%
D 1
 
6.7%
J 1
 
6.7%
P 1
 
6.7%
V 1
 
6.7%
O 1
 
6.7%
Decimal Number
ValueCountFrequency (%)
1 3
50.0%
0 1
 
16.7%
7 1
 
16.7%
9 1
 
16.7%
Other Symbol
ValueCountFrequency (%)
279
100.0%
Space Separator
ValueCountFrequency (%)
140
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4113
96.2%
Common 147
 
3.4%
Latin 15
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
279
 
6.8%
247
 
6.0%
201
 
4.9%
173
 
4.2%
169
 
4.1%
168
 
4.1%
168
 
4.1%
140
 
3.4%
127
 
3.1%
93
 
2.3%
Other values (330) 2348
57.1%
Latin
ValueCountFrequency (%)
C 4
26.7%
T 2
13.3%
I 2
13.3%
F 2
13.3%
D 1
 
6.7%
J 1
 
6.7%
P 1
 
6.7%
V 1
 
6.7%
O 1
 
6.7%
Common
ValueCountFrequency (%)
140
95.2%
1 3
 
2.0%
0 1
 
0.7%
7 1
 
0.7%
9 1
 
0.7%
. 1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3834
89.7%
None 279
 
6.5%
ASCII 162
 
3.8%

Most frequent character per block

None
ValueCountFrequency (%)
279
100.0%
Hangul
ValueCountFrequency (%)
247
 
6.4%
201
 
5.2%
173
 
4.5%
169
 
4.4%
168
 
4.4%
168
 
4.4%
140
 
3.7%
127
 
3.3%
93
 
2.4%
89
 
2.3%
Other values (329) 2259
58.9%
ASCII
ValueCountFrequency (%)
140
86.4%
C 4
 
2.5%
1 3
 
1.9%
T 2
 
1.2%
I 2
 
1.2%
F 2
 
1.2%
D 1
 
0.6%
J 1
 
0.6%
0 1
 
0.6%
7 1
 
0.6%
Other values (5) 5
 
3.1%

URL
Text

MISSING 

Distinct294
Distinct (%)93.9%
Missing278
Missing (%)47.0%
Memory size4.7 KiB
2024-03-13T08:30:24.746114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length26
Mean length16.028754
Min length1

Characters and Unicode

Total characters5017
Distinct characters77
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

Unique278 ?
Unique (%)88.8%

Sample

1st rowwww.q-best.co.kr/
2nd rowhttps://kkunc.com/
3rd rowwww.cree8.co.kr
4th rowkingsmen.co.kr
5th rowhttp://toms-design.com/
ValueCountFrequency (%)
http://welld77.cafe24.com/admin 3
 
0.9%
http://www 3
 
0.9%
rental119.co.kr 3
 
0.9%
mbig1998.com 3
 
0.9%
www.enad.kr 2
 
0.6%
kairosdg.kr 2
 
0.6%
www.e-isb.com 2
 
0.6%
www.vine-design.co.kr 2
 
0.6%
hansolad.co.kr 2
 
0.6%
www.gayadns.com 2
 
0.6%
Other values (284) 292
92.4%
2024-03-13T08:30:25.108051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 653
13.0%
w 561
 
11.2%
o 443
 
8.8%
c 357
 
7.1%
r 306
 
6.1%
e 279
 
5.6%
n 233
 
4.6%
m 229
 
4.6%
k 217
 
4.3%
i 181
 
3.6%
Other values (67) 1558
31.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4066
81.0%
Other Punctuation 766
 
15.3%
Decimal Number 91
 
1.8%
Dash Punctuation 39
 
0.8%
Other Letter 35
 
0.7%
Uppercase Letter 17
 
0.3%
Space Separator 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
4
 
11.4%
4
 
11.4%
2
 
5.7%
2
 
5.7%
1
 
2.9%
1
 
2.9%
1
 
2.9%
1
 
2.9%
1
 
2.9%
1
 
2.9%
Other values (17) 17
48.6%
Lowercase Letter
ValueCountFrequency (%)
w 561
13.8%
o 443
10.9%
c 357
 
8.8%
r 306
 
7.5%
e 279
 
6.9%
n 233
 
5.7%
m 229
 
5.6%
k 217
 
5.3%
i 181
 
4.5%
a 174
 
4.3%
Other values (16) 1086
26.7%
Decimal Number
ValueCountFrequency (%)
1 25
27.5%
9 14
15.4%
7 14
15.4%
0 7
 
7.7%
8 7
 
7.7%
2 7
 
7.7%
3 6
 
6.6%
4 6
 
6.6%
6 3
 
3.3%
5 2
 
2.2%
Uppercase Letter
ValueCountFrequency (%)
O 4
23.5%
W 4
23.5%
M 2
11.8%
C 2
11.8%
S 2
11.8%
Y 1
 
5.9%
L 1
 
5.9%
I 1
 
5.9%
Other Punctuation
ValueCountFrequency (%)
. 653
85.2%
/ 92
 
12.0%
: 20
 
2.6%
, 1
 
0.1%
Dash Punctuation
ValueCountFrequency (%)
- 39
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4083
81.4%
Common 899
 
17.9%
Hangul 35
 
0.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 561
13.7%
o 443
10.8%
c 357
 
8.7%
r 306
 
7.5%
e 279
 
6.8%
n 233
 
5.7%
m 229
 
5.6%
k 217
 
5.3%
i 181
 
4.4%
a 174
 
4.3%
Other values (24) 1103
27.0%
Hangul
ValueCountFrequency (%)
4
 
11.4%
4
 
11.4%
2
 
5.7%
2
 
5.7%
1
 
2.9%
1
 
2.9%
1
 
2.9%
1
 
2.9%
1
 
2.9%
1
 
2.9%
Other values (17) 17
48.6%
Common
ValueCountFrequency (%)
. 653
72.6%
/ 92
 
10.2%
- 39
 
4.3%
1 25
 
2.8%
: 20
 
2.2%
9 14
 
1.6%
7 14
 
1.6%
0 7
 
0.8%
8 7
 
0.8%
2 7
 
0.8%
Other values (6) 21
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4982
99.3%
Hangul 35
 
0.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 653
13.1%
w 561
 
11.3%
o 443
 
8.9%
c 357
 
7.2%
r 306
 
6.1%
e 279
 
5.6%
n 233
 
4.7%
m 229
 
4.6%
k 217
 
4.4%
i 181
 
3.6%
Other values (40) 1523
30.6%
Hangul
ValueCountFrequency (%)
4
 
11.4%
4
 
11.4%
2
 
5.7%
2
 
5.7%
1
 
2.9%
1
 
2.9%
1
 
2.9%
1
 
2.9%
1
 
2.9%
1
 
2.9%
Other values (17) 17
48.6%

주소
Text

Distinct522
Distinct (%)88.3%
Missing0
Missing (%)0.0%
Memory size4.7 KiB
2024-03-13T08:30:25.361236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length30
Mean length17.810491
Min length12

Characters and Unicode

Total characters10526
Distinct characters287
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

Unique478 ?
Unique (%)80.9%

Sample

1st row서울 광진구 광나루로56길 85
2nd row서울 강남구 개포로20길 17
3rd row경기 고양시 일산서구 덕이로 16
4th row서울 마포구 동교로19길 86
5th row경기 고양시 일산서구 킨텍스로 217-59
ValueCountFrequency (%)
서울 256
 
10.0%
경기 230
 
9.0%
고양시 63
 
2.5%
강남구 63
 
2.5%
송파구 36
 
1.4%
남양주시 35
 
1.4%
일산동구 27
 
1.1%
일산서구 26
 
1.0%
부산 23
 
0.9%
성동구 22
 
0.9%
Other values (931) 1784
69.6%
2024-03-13T08:30:25.727021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1974
 
18.8%
546
 
5.2%
1 484
 
4.6%
461
 
4.4%
360
 
3.4%
2 315
 
3.0%
275
 
2.6%
267
 
2.5%
264
 
2.5%
258
 
2.5%
Other values (277) 5322
50.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6135
58.3%
Decimal Number 2195
 
20.9%
Space Separator 1974
 
18.8%
Dash Punctuation 135
 
1.3%
Uppercase Letter 53
 
0.5%
Open Punctuation 12
 
0.1%
Close Punctuation 11
 
0.1%
Other Punctuation 8
 
0.1%
Lowercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
546
 
8.9%
461
 
7.5%
360
 
5.9%
275
 
4.5%
267
 
4.4%
264
 
4.3%
258
 
4.2%
247
 
4.0%
173
 
2.8%
155
 
2.5%
Other values (254) 3129
51.0%
Decimal Number
ValueCountFrequency (%)
1 484
22.1%
2 315
14.4%
3 240
10.9%
5 217
9.9%
4 174
 
7.9%
6 173
 
7.9%
0 160
 
7.3%
7 152
 
6.9%
8 149
 
6.8%
9 131
 
6.0%
Uppercase Letter
ValueCountFrequency (%)
A 15
28.3%
E 13
24.5%
C 12
22.6%
P 12
22.6%
F 1
 
1.9%
Lowercase Letter
ValueCountFrequency (%)
v 1
33.3%
k 1
33.3%
s 1
33.3%
Space Separator
ValueCountFrequency (%)
1974
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 135
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Other Punctuation
ValueCountFrequency (%)
, 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6135
58.3%
Common 4335
41.2%
Latin 56
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
546
 
8.9%
461
 
7.5%
360
 
5.9%
275
 
4.5%
267
 
4.4%
264
 
4.3%
258
 
4.2%
247
 
4.0%
173
 
2.8%
155
 
2.5%
Other values (254) 3129
51.0%
Common
ValueCountFrequency (%)
1974
45.5%
1 484
 
11.2%
2 315
 
7.3%
3 240
 
5.5%
5 217
 
5.0%
4 174
 
4.0%
6 173
 
4.0%
0 160
 
3.7%
7 152
 
3.5%
8 149
 
3.4%
Other values (5) 297
 
6.9%
Latin
ValueCountFrequency (%)
A 15
26.8%
E 13
23.2%
C 12
21.4%
P 12
21.4%
v 1
 
1.8%
k 1
 
1.8%
s 1
 
1.8%
F 1
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6135
58.3%
ASCII 4391
41.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1974
45.0%
1 484
 
11.0%
2 315
 
7.2%
3 240
 
5.5%
5 217
 
4.9%
4 174
 
4.0%
6 173
 
3.9%
0 160
 
3.6%
7 152
 
3.5%
8 149
 
3.4%
Other values (13) 353
 
8.0%
Hangul
ValueCountFrequency (%)
546
 
8.9%
461
 
7.5%
360
 
5.9%
275
 
4.5%
267
 
4.4%
264
 
4.3%
258
 
4.2%
247
 
4.0%
173
 
2.8%
155
 
2.5%
Other values (254) 3129
51.0%

Missing values

2024-03-13T08:30:23.885909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T08:30:23.959333image/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

구분업체명URL주소
0전시디자인설치주식회사 큐베스트www.q-best.co.kr/서울 광진구 광나루로56길 85
1전시디자인설치㈜큐브라인커뮤니케이션<NA>서울 강남구 개포로20길 17
2광고싸인물크리에이티브꾼https://kkunc.com/경기 고양시 일산서구 덕이로 16
3전시디자인설치크리에잇 어소시에이츠www.cree8.co.kr서울 마포구 동교로19길 86
4광고싸인물㈜킨비즈커뮤니케이션<NA>경기 고양시 일산서구 킨텍스로 217-59
5전시디자인설치킹스맨kingsmen.co.kr서울 광진구 동일로 350
6전시디자인설치킹스맨이앤이<NA>서울 광진구 동일로 350
7전시디자인설치주식회사 탐스디자인http://toms-design.com/서울 금천구 가산디지털1로 181
8지게차㈜탑누리이엔지<NA>경기 안산시 단원구 엠티브이10로10번길 19
9전시디자인설치주식회사탑스탠다드<NA>경기 광명시 가학로 248-10
구분업체명URL주소
581전시디자인설치㈜디모즈<NA>서울 강남구 봉은사로 462
582전시디자인설치디모즈플러스<NA>서울 성동구 성수이로 147
583전시디자인설치주식회사 디스페이스<NA>경남 창원시 성산구 완암로 50
584전시디자인설치㈜디아뜨인터랙티브dart.co.kr서울 강남구 강남대로128길 28
585광고싸인물주식회사 디아트그램dow1234.com경기 고양시 일산서구 킨텍스로 255
586전시디자인설치㈜디앤비www.borrowhands.com/경남 창원시 성산구 원이대로522번길 26-1
587전시디자인설치㈜디앤씨컴퍼니dnccompany.com대전 동구 선화로 187
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