Overview

Dataset statistics

Number of variables10
Number of observations10000
Missing cells427
Missing cells (%)0.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory869.1 KiB
Average record size in memory89.0 B

Variable types

Text7
Numeric1
Categorical2

Dataset

Description한국방송광고진흥공사 광고박물관이 소장하고 있는 분야별 광고소재의 디지털 아카이브 데이터로 인쇄광고 관련 항목들을 제공합니다.
Author한국방송광고진흥공사
URLhttps://www.data.go.kr/data/15044290/fileData.do

Alerts

매체구분 is highly imbalanced (70.7%)Imbalance
제품 has 323 (3.2%) missing valuesMissing
번호 has unique valuesUnique

Reproduction

Analysis started2023-12-11 23:45:20.445338
Analysis finished2023-12-11 23:45:22.912636
Duration2.47 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T08:45:23.190347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length16
Mean length10.5201
Min length2

Characters and Unicode

Total characters105201
Distinct characters229
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10000 ?
Unique (%)100.0%

Sample

1st rowogilbi-2322
2nd rowAmore-278
3rd rowPhoenix-880
4th rowMM-193
5th row장업 (1489)
ValueCountFrequency (%)
장업 299
 
2.2%
kaa2006 257
 
1.9%
kaa2004 236
 
1.7%
kaa2005 211
 
1.6%
phnix 201
 
1.5%
kaa2002 197
 
1.5%
kaa2007 184
 
1.4%
kaa1994 173
 
1.3%
kaa2000 172
 
1.3%
kaa2001 165
 
1.2%
Other values (7320) 11465
84.6%
2023-12-12T08:45:23.610237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 9791
 
9.3%
A 7499
 
7.1%
2 7164
 
6.8%
- 6703
 
6.4%
1 6549
 
6.2%
9 4249
 
4.0%
3 3745
 
3.6%
3560
 
3.4%
i 3511
 
3.3%
) 3436
 
3.3%
Other values (219) 48994
46.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 45669
43.4%
Uppercase Letter 18628
17.7%
Lowercase Letter 15241
 
14.5%
Other Letter 8272
 
7.9%
Dash Punctuation 6703
 
6.4%
Space Separator 3560
 
3.4%
Close Punctuation 3436
 
3.3%
Open Punctuation 3436
 
3.3%
Connector Punctuation 252
 
0.2%
Other Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
972
11.8%
970
11.7%
812
 
9.8%
812
 
9.8%
592
 
7.2%
591
 
7.1%
327
 
4.0%
326
 
3.9%
321
 
3.9%
321
 
3.9%
Other values (162) 2228
26.9%
Uppercase Letter
ValueCountFrequency (%)
A 7499
40.3%
K 2379
 
12.8%
D 2082
 
11.2%
G 1557
 
8.4%
L 1554
 
8.3%
S 728
 
3.9%
M 515
 
2.8%
U 457
 
2.5%
R 396
 
2.1%
W 395
 
2.1%
Other values (12) 1066
 
5.7%
Lowercase Letter
ValueCountFrequency (%)
i 3511
23.0%
o 2098
13.8%
l 1670
11.0%
g 1651
10.8%
b 1495
9.8%
n 638
 
4.2%
r 610
 
4.0%
e 573
 
3.8%
a 512
 
3.4%
h 483
 
3.2%
Other values (9) 2000
13.1%
Decimal Number
ValueCountFrequency (%)
0 9791
21.4%
2 7164
15.7%
1 6549
14.3%
9 4249
9.3%
3 3745
 
8.2%
4 3274
 
7.2%
5 2975
 
6.5%
6 2869
 
6.3%
7 2538
 
5.6%
8 2515
 
5.5%
Dash Punctuation
ValueCountFrequency (%)
- 6703
100.0%
Space Separator
ValueCountFrequency (%)
3560
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3436
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3436
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 252
100.0%
Other Punctuation
ValueCountFrequency (%)
& 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 63060
59.9%
Latin 33869
32.2%
Hangul 8272
 
7.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
972
11.8%
970
11.7%
812
 
9.8%
812
 
9.8%
592
 
7.2%
591
 
7.1%
327
 
4.0%
326
 
3.9%
321
 
3.9%
321
 
3.9%
Other values (162) 2228
26.9%
Latin
ValueCountFrequency (%)
A 7499
22.1%
i 3511
10.4%
K 2379
 
7.0%
o 2098
 
6.2%
D 2082
 
6.1%
l 1670
 
4.9%
g 1651
 
4.9%
G 1557
 
4.6%
L 1554
 
4.6%
b 1495
 
4.4%
Other values (31) 8373
24.7%
Common
ValueCountFrequency (%)
0 9791
15.5%
2 7164
11.4%
- 6703
10.6%
1 6549
10.4%
9 4249
 
6.7%
3 3745
 
5.9%
3560
 
5.6%
) 3436
 
5.4%
( 3436
 
5.4%
4 3274
 
5.2%
Other values (6) 11153
17.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 96929
92.1%
Hangul 8272
 
7.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 9791
 
10.1%
A 7499
 
7.7%
2 7164
 
7.4%
- 6703
 
6.9%
1 6549
 
6.8%
9 4249
 
4.4%
3 3745
 
3.9%
3560
 
3.7%
i 3511
 
3.6%
) 3436
 
3.5%
Other values (47) 40722
42.0%
Hangul
ValueCountFrequency (%)
972
11.8%
970
11.7%
812
 
9.8%
812
 
9.8%
592
 
7.2%
591
 
7.1%
327
 
4.0%
326
 
3.9%
321
 
3.9%
321
 
3.9%
Other values (162) 2228
26.9%

년도
Real number (ℝ)

Distinct103
Distinct (%)1.0%
Missing65
Missing (%)0.7%
Infinite0
Infinite (%)0.0%
Mean1989.0794
Minimum1898
Maximum2008
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T08:45:23.749480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1898
5-th percentile1938
Q11988
median1995
Q32000
95-th percentile2005
Maximum2008
Range110
Interquartile range (IQR)12

Descriptive statistics

Standard deviation20.656208
Coefficient of variation (CV)0.010384808
Kurtosis7.987613
Mean1989.0794
Median Absolute Deviation (MAD)6
Skewness-2.7899721
Sum19761504
Variance426.67891
MonotonicityNot monotonic
2023-12-12T08:45:23.886914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1995 736
 
7.4%
1996 646
 
6.5%
2001 634
 
6.3%
1997 574
 
5.7%
1999 480
 
4.8%
2003 427
 
4.3%
2005 420
 
4.2%
1993 411
 
4.1%
1994 392
 
3.9%
2000 365
 
3.6%
Other values (93) 4850
48.5%
ValueCountFrequency (%)
1898 4
 
< 0.1%
1899 18
 
0.2%
1900 33
0.3%
1901 34
0.3%
1902 26
0.3%
1903 23
0.2%
1904 14
 
0.1%
1905 19
 
0.2%
1906 9
 
0.1%
1907 51
0.5%
ValueCountFrequency (%)
2008 1
 
< 0.1%
2007 5
 
0.1%
2006 285
2.9%
2005 420
4.2%
2004 327
3.3%
2003 427
4.3%
2002 319
3.2%
2001 634
6.3%
2000 365
3.6%
1999 480
4.8%

매체구분
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
신문
9018 
잡지
981 
<NA>
 
1

Length

Max length4
Median length2
Mean length2.0002
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row신문
2nd row잡지
3rd row신문
4th row잡지
5th row신문

Common Values

ValueCountFrequency (%)
신문 9018
90.2%
잡지 981
 
9.8%
<NA> 1
 
< 0.1%

Length

2023-12-12T08:45:24.030636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:45:24.140131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
신문 9018
90.2%
잡지 981
 
9.8%
na 1
 
< 0.1%

매체
Text

Distinct222
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T08:45:24.355993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length4
Mean length4.184
Min length2

Characters and Unicode

Total characters41840
Distinct characters324
Distinct categories5 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique101 ?
Unique (%)1.0%

Sample

1st row기타신문
2nd row기타잡지
3rd row기타신문
4th row동광(東光)
5th row화장품신문
ValueCountFrequency (%)
기타신문 6012
60.1%
장업신문 534
 
5.3%
조선일보 474
 
4.7%
화장품신문 436
 
4.4%
기타잡지 423
 
4.2%
중앙일보 376
 
3.8%
동아일보 293
 
2.9%
황성신문 195
 
1.9%
매일경제신문 80
 
0.8%
한국일보 78
 
0.8%
Other values (214) 1105
 
11.0%
2023-12-12T08:45:24.984496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7665
18.3%
7564
18.1%
6443
15.4%
6437
15.4%
1495
 
3.6%
1381
 
3.3%
975
 
2.3%
539
 
1.3%
531
 
1.3%
526
 
1.3%
Other values (314) 8284
19.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 41430
99.0%
Close Punctuation 192
 
0.5%
Open Punctuation 192
 
0.5%
Uppercase Letter 14
 
< 0.1%
Space Separator 12
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
7665
18.5%
7564
18.3%
6443
15.6%
6437
15.5%
1495
 
3.6%
1381
 
3.3%
975
 
2.4%
539
 
1.3%
531
 
1.3%
526
 
1.3%
Other values (301) 7874
19.0%
Uppercase Letter
ValueCountFrequency (%)
E 2
14.3%
T 2
14.3%
C 2
14.3%
J 2
14.3%
H 1
7.1%
W 1
7.1%
V 1
7.1%
N 1
7.1%
O 1
7.1%
M 1
7.1%
Close Punctuation
ValueCountFrequency (%)
) 192
100.0%
Open Punctuation
ValueCountFrequency (%)
( 192
100.0%
Space Separator
ValueCountFrequency (%)
12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 40817
97.6%
Han 613
 
1.5%
Common 396
 
0.9%
Latin 14
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
7665
18.8%
7564
18.5%
6443
15.8%
6437
15.8%
1495
 
3.7%
1381
 
3.4%
975
 
2.4%
539
 
1.3%
531
 
1.3%
526
 
1.3%
Other values (178) 7261
17.8%
Han
ValueCountFrequency (%)
35
 
5.7%
30
 
4.9%
29
 
4.7%
29
 
4.7%
27
 
4.4%
24
 
3.9%
23
 
3.8%
22
 
3.6%
17
 
2.8%
16
 
2.6%
Other values (113) 361
58.9%
Latin
ValueCountFrequency (%)
E 2
14.3%
T 2
14.3%
C 2
14.3%
J 2
14.3%
H 1
7.1%
W 1
7.1%
V 1
7.1%
N 1
7.1%
O 1
7.1%
M 1
7.1%
Common
ValueCountFrequency (%)
) 192
48.5%
( 192
48.5%
12
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 40817
97.6%
CJK 610
 
1.5%
ASCII 410
 
1.0%
CJK Compat Ideographs 3
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
7665
18.8%
7564
18.5%
6443
15.8%
6437
15.8%
1495
 
3.7%
1381
 
3.4%
975
 
2.4%
539
 
1.3%
531
 
1.3%
526
 
1.3%
Other values (178) 7261
17.8%
ASCII
ValueCountFrequency (%)
) 192
46.8%
( 192
46.8%
12
 
2.9%
E 2
 
0.5%
T 2
 
0.5%
C 2
 
0.5%
J 2
 
0.5%
H 1
 
0.2%
W 1
 
0.2%
V 1
 
0.2%
Other values (3) 3
 
0.7%
CJK
ValueCountFrequency (%)
35
 
5.7%
30
 
4.9%
29
 
4.8%
29
 
4.8%
27
 
4.4%
24
 
3.9%
23
 
3.8%
22
 
3.6%
17
 
2.8%
16
 
2.6%
Other values (111) 358
58.7%
CJK Compat Ideographs
ValueCountFrequency (%)
2
66.7%
1
33.3%

대분류
Categorical

Distinct21
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
화장품 및 보건용품
1516 
제약 및 의료
1165 
수송기기
882 
컴퓨터 및 정보통신
860 
그룹 및 기업광고
815 
Other values (16)
4762 

Length

Max length12
Median length10
Mean length7.1554
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row수송기기
2nd row화장품 및 보건용품
3rd row금융, 보험 및 증권
4th row그룹 및 기업광고
5th row화장품 및 보건용품

Common Values

ValueCountFrequency (%)
화장품 및 보건용품 1516
15.2%
제약 및 의료 1165
11.7%
수송기기 882
8.8%
컴퓨터 및 정보통신 860
8.6%
그룹 및 기업광고 815
 
8.2%
가정용 전기전자 795
 
8.0%
패션 515
 
5.1%
음료 및 기호식품 503
 
5.0%
식품 420
 
4.2%
서비스 400
 
4.0%
Other values (11) 2129
21.3%

Length

2023-12-12T08:45:25.136777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5939
25.4%
보건용품 1516
 
6.5%
화장품 1516
 
6.5%
제약 1165
 
5.0%
의료 1165
 
5.0%
수송기기 882
 
3.8%
컴퓨터 860
 
3.7%
정보통신 860
 
3.7%
그룹 815
 
3.5%
기업광고 815
 
3.5%
Other values (25) 7883
33.7%
Distinct160
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T08:45:25.435289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length14
Mean length6.1039
Min length2

Characters and Unicode

Total characters61039
Distinct characters193
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)0.1%

Sample

1st row수송기기 기타
2nd row여성 색조화장품
3rd row금융 및 보험
4th row기타광고
5th row여성 색조화장품
ValueCountFrequency (%)
2096
 
11.8%
기타 1196
 
6.7%
여성 944
 
5.3%
그룹광고 646
 
3.6%
기초화장품 634
 
3.6%
승용자동차 546
 
3.1%
대사성의약 419
 
2.4%
컴퓨터 394
 
2.2%
전기전자 338
 
1.9%
금융 299
 
1.7%
Other values (192) 10208
57.6%
2023-12-12T08:45:25.919292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7820
 
12.8%
4879
 
8.0%
2106
 
3.5%
1806
 
3.0%
1712
 
2.8%
1497
 
2.5%
1435
 
2.4%
1379
 
2.3%
1327
 
2.2%
1020
 
1.7%
Other values (183) 36058
59.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 52728
86.4%
Space Separator 7820
 
12.8%
Other Punctuation 447
 
0.7%
Uppercase Letter 44
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
4879
 
9.3%
2106
 
4.0%
1806
 
3.4%
1712
 
3.2%
1497
 
2.8%
1435
 
2.7%
1379
 
2.6%
1327
 
2.5%
1020
 
1.9%
951
 
1.8%
Other values (178) 34616
65.7%
Other Punctuation
ValueCountFrequency (%)
, 425
95.1%
/ 22
 
4.9%
Uppercase Letter
ValueCountFrequency (%)
W 22
50.0%
S 22
50.0%
Space Separator
ValueCountFrequency (%)
7820
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 52728
86.4%
Common 8267
 
13.5%
Latin 44
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
4879
 
9.3%
2106
 
4.0%
1806
 
3.4%
1712
 
3.2%
1497
 
2.8%
1435
 
2.7%
1379
 
2.6%
1327
 
2.5%
1020
 
1.9%
951
 
1.8%
Other values (178) 34616
65.7%
Common
ValueCountFrequency (%)
7820
94.6%
, 425
 
5.1%
/ 22
 
0.3%
Latin
ValueCountFrequency (%)
W 22
50.0%
S 22
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 52728
86.4%
ASCII 8311
 
13.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7820
94.1%
, 425
 
5.1%
W 22
 
0.3%
/ 22
 
0.3%
S 22
 
0.3%
Hangul
ValueCountFrequency (%)
4879
 
9.3%
2106
 
4.0%
1806
 
3.4%
1712
 
3.2%
1497
 
2.8%
1435
 
2.7%
1379
 
2.6%
1327
 
2.5%
1020
 
1.9%
951
 
1.8%
Other values (178) 34616
65.7%
Distinct617
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T08:45:26.278267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length16
Mean length6.7017
Min length1

Characters and Unicode

Total characters67017
Distinct characters411
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique121 ?
Unique (%)1.2%

Sample

1st row수송기기 기업PR
2nd row여성 색조화장품 제품종합
3rd row생명보험
4th row기타기업PR
5th row눈 및 입술 색조화장품
ValueCountFrequency (%)
1624
 
9.1%
기업pr 1109
 
6.2%
제품종합 903
 
5.0%
여성 703
 
3.9%
그룹pr 624
 
3.5%
기타 453
 
2.5%
일반기초화장품 378
 
2.1%
기초화장품 285
 
1.6%
색조화장품 220
 
1.2%
소형승용차 207
 
1.2%
Other values (640) 11397
63.7%
2023-12-12T08:45:26.720553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7903
 
11.8%
4154
 
6.2%
2092
 
3.1%
2085
 
3.1%
P 1968
 
2.9%
R 1842
 
2.7%
1624
 
2.4%
1430
 
2.1%
1403
 
2.1%
1254
 
1.9%
Other values (401) 41262
61.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 54254
81.0%
Space Separator 7903
 
11.8%
Uppercase Letter 4451
 
6.6%
Other Punctuation 396
 
0.6%
Lowercase Letter 13
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
4154
 
7.7%
2092
 
3.9%
2085
 
3.8%
1624
 
3.0%
1430
 
2.6%
1403
 
2.6%
1254
 
2.3%
1239
 
2.3%
1189
 
2.2%
1158
 
2.1%
Other values (383) 36626
67.5%
Uppercase Letter
ValueCountFrequency (%)
P 1968
44.2%
R 1842
41.4%
V 187
 
4.2%
T 187
 
4.2%
C 165
 
3.7%
S 36
 
0.8%
W 22
 
0.5%
O 14
 
0.3%
D 13
 
0.3%
L 9
 
0.2%
Other values (2) 8
 
0.2%
Lowercase Letter
ValueCountFrequency (%)
c 7
53.8%
p 3
23.1%
r 3
23.1%
Other Punctuation
ValueCountFrequency (%)
, 374
94.4%
/ 22
 
5.6%
Space Separator
ValueCountFrequency (%)
7903
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 54254
81.0%
Common 8299
 
12.4%
Latin 4464
 
6.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
4154
 
7.7%
2092
 
3.9%
2085
 
3.8%
1624
 
3.0%
1430
 
2.6%
1403
 
2.6%
1254
 
2.3%
1239
 
2.3%
1189
 
2.2%
1158
 
2.1%
Other values (383) 36626
67.5%
Latin
ValueCountFrequency (%)
P 1968
44.1%
R 1842
41.3%
V 187
 
4.2%
T 187
 
4.2%
C 165
 
3.7%
S 36
 
0.8%
W 22
 
0.5%
O 14
 
0.3%
D 13
 
0.3%
L 9
 
0.2%
Other values (5) 21
 
0.5%
Common
ValueCountFrequency (%)
7903
95.2%
, 374
 
4.5%
/ 22
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 54254
81.0%
ASCII 12763
 
19.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7903
61.9%
P 1968
 
15.4%
R 1842
 
14.4%
, 374
 
2.9%
V 187
 
1.5%
T 187
 
1.5%
C 165
 
1.3%
S 36
 
0.3%
W 22
 
0.2%
/ 22
 
0.2%
Other values (8) 57
 
0.4%
Hangul
ValueCountFrequency (%)
4154
 
7.7%
2092
 
3.9%
2085
 
3.8%
1624
 
3.0%
1430
 
2.6%
1403
 
2.6%
1254
 
2.3%
1239
 
2.3%
1189
 
2.2%
1158
 
2.1%
Other values (383) 36626
67.5%
Distinct1842
Distinct (%)18.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T08:45:26.971020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length23
Mean length6.5958
Min length2

Characters and Unicode

Total characters65958
Distinct characters632
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1051 ?
Unique (%)10.5%

Sample

1st row현대자동차(주)
2nd row태평양화학
3rd row아이엔지생명보험(주)
4th row더블유 시계점
5th row한국화장품(주)
ValueCountFrequency (%)
금성사 635
 
6.2%
현대자동차(주 485
 
4.8%
럭키 483
 
4.7%
태평양화학 438
 
4.3%
기아자동차(주 235
 
2.3%
일동제약(주 195
 
1.9%
삼성전자(주 164
 
1.6%
주)유한양행 144
 
1.4%
광고주미상 98
 
1.0%
주)케이티 94
 
0.9%
Other values (1934) 7230
70.9%
2023-12-12T08:45:27.338080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6248
 
9.5%
) 5956
 
9.0%
( 5956
 
9.0%
1577
 
2.4%
1408
 
2.1%
1361
 
2.1%
1327
 
2.0%
1283
 
1.9%
1085
 
1.6%
1025
 
1.6%
Other values (622) 38732
58.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 52639
79.8%
Close Punctuation 5956
 
9.0%
Open Punctuation 5956
 
9.0%
Uppercase Letter 655
 
1.0%
Space Separator 417
 
0.6%
Lowercase Letter 161
 
0.2%
Other Symbol 121
 
0.2%
Other Punctuation 32
 
< 0.1%
Decimal Number 14
 
< 0.1%
Dash Punctuation 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
6248
 
11.9%
1577
 
3.0%
1408
 
2.7%
1361
 
2.6%
1327
 
2.5%
1283
 
2.4%
1085
 
2.1%
1025
 
1.9%
1012
 
1.9%
1002
 
1.9%
Other values (564) 35311
67.1%
Uppercase Letter
ValueCountFrequency (%)
L 135
20.6%
D 70
10.7%
E 65
9.9%
K 52
 
7.9%
C 45
 
6.9%
S 40
 
6.1%
O 36
 
5.5%
G 30
 
4.6%
A 27
 
4.1%
T 18
 
2.7%
Other values (15) 137
20.9%
Lowercase Letter
ValueCountFrequency (%)
a 28
17.4%
r 21
13.0%
o 20
12.4%
e 20
12.4%
n 11
 
6.8%
c 10
 
6.2%
i 7
 
4.3%
m 7
 
4.3%
p 5
 
3.1%
t 5
 
3.1%
Other values (9) 27
16.8%
Decimal Number
ValueCountFrequency (%)
3 4
28.6%
2 4
28.6%
1 3
21.4%
5 2
14.3%
4 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
& 16
50.0%
. 9
28.1%
, 6
 
18.8%
* 1
 
3.1%
Close Punctuation
ValueCountFrequency (%)
) 5956
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5956
100.0%
Space Separator
ValueCountFrequency (%)
417
100.0%
Other Symbol
ValueCountFrequency (%)
121
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 52753
80.0%
Common 12382
 
18.8%
Latin 816
 
1.2%
Han 7
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
6248
 
11.8%
1577
 
3.0%
1408
 
2.7%
1361
 
2.6%
1327
 
2.5%
1283
 
2.4%
1085
 
2.1%
1025
 
1.9%
1012
 
1.9%
1002
 
1.9%
Other values (558) 35425
67.2%
Latin
ValueCountFrequency (%)
L 135
16.5%
D 70
 
8.6%
E 65
 
8.0%
K 52
 
6.4%
C 45
 
5.5%
S 40
 
4.9%
O 36
 
4.4%
G 30
 
3.7%
a 28
 
3.4%
A 27
 
3.3%
Other values (34) 288
35.3%
Common
ValueCountFrequency (%)
) 5956
48.1%
( 5956
48.1%
417
 
3.4%
& 16
 
0.1%
. 9
 
0.1%
- 7
 
0.1%
, 6
 
< 0.1%
3 4
 
< 0.1%
2 4
 
< 0.1%
1 3
 
< 0.1%
Other values (3) 4
 
< 0.1%
Han
ValueCountFrequency (%)
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 52632
79.8%
ASCII 13198
 
20.0%
None 121
 
0.2%
CJK 7
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
6248
 
11.9%
1577
 
3.0%
1408
 
2.7%
1361
 
2.6%
1327
 
2.5%
1283
 
2.4%
1085
 
2.1%
1025
 
1.9%
1012
 
1.9%
1002
 
1.9%
Other values (557) 35304
67.1%
ASCII
ValueCountFrequency (%)
) 5956
45.1%
( 5956
45.1%
417
 
3.2%
L 135
 
1.0%
D 70
 
0.5%
E 65
 
0.5%
K 52
 
0.4%
C 45
 
0.3%
S 40
 
0.3%
O 36
 
0.3%
Other values (47) 426
 
3.2%
None
ValueCountFrequency (%)
121
100.0%
CJK
ValueCountFrequency (%)
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%

제품
Text

MISSING 

Distinct5284
Distinct (%)54.6%
Missing323
Missing (%)3.2%
Memory size156.2 KiB
2023-12-12T08:45:27.585766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length72
Median length47
Mean length6.1053012
Min length1

Characters and Unicode

Total characters59081
Distinct characters1009
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4147 ?
Unique (%)42.9%

Sample

1st row기업PR
2nd row레쎄 펑키브라운
3rd rowING 라이프 정기보험
4th row기업PR
5th row쥬단한 르비앙 크레아트
ValueCountFrequency (%)
기업pr 1633
 
11.7%
금성 152
 
1.1%
아모레 118
 
0.8%
라네즈 66
 
0.5%
공익광고 64
 
0.5%
컴퓨터 60
 
0.4%
아로나민 54
 
0.4%
dell 50
 
0.4%
마몽드 46
 
0.3%
현대 43
 
0.3%
Other values (6333) 11713
83.7%
2023-12-12T08:45:28.010337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4428
 
7.5%
2063
 
3.5%
R 1814
 
3.1%
P 1810
 
3.1%
1711
 
2.9%
1710
 
2.9%
1375
 
2.3%
882
 
1.5%
809
 
1.4%
748
 
1.3%
Other values (999) 41731
70.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 43099
72.9%
Uppercase Letter 7695
 
13.0%
Space Separator 4428
 
7.5%
Lowercase Letter 1873
 
3.2%
Decimal Number 1211
 
2.0%
Other Punctuation 423
 
0.7%
Dash Punctuation 208
 
0.4%
Close Punctuation 48
 
0.1%
Open Punctuation 48
 
0.1%
Letter Number 26
 
< 0.1%
Other values (2) 22
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2063
 
4.8%
1711
 
4.0%
1710
 
4.0%
1375
 
3.2%
882
 
2.0%
809
 
1.9%
748
 
1.7%
712
 
1.7%
691
 
1.6%
657
 
1.5%
Other values (909) 31741
73.6%
Uppercase Letter
ValueCountFrequency (%)
R 1814
23.6%
P 1810
23.5%
L 340
 
4.4%
S 337
 
4.4%
I 312
 
4.1%
E 304
 
4.0%
A 303
 
3.9%
T 258
 
3.4%
V 233
 
3.0%
G 216
 
2.8%
Other values (16) 1768
23.0%
Lowercase Letter
ValueCountFrequency (%)
e 277
14.8%
a 143
 
7.6%
n 142
 
7.6%
r 142
 
7.6%
i 140
 
7.5%
o 138
 
7.4%
t 126
 
6.7%
s 98
 
5.2%
l 94
 
5.0%
m 94
 
5.0%
Other values (16) 479
25.6%
Other Punctuation
ValueCountFrequency (%)
, 220
52.0%
. 120
28.4%
& 24
 
5.7%
/ 16
 
3.8%
# 12
 
2.8%
" 10
 
2.4%
· 7
 
1.7%
5
 
1.2%
% 3
 
0.7%
* 2
 
0.5%
Other values (2) 4
 
0.9%
Decimal Number
ValueCountFrequency (%)
0 403
33.3%
1 207
17.1%
2 150
 
12.4%
5 99
 
8.2%
3 97
 
8.0%
8 69
 
5.7%
6 52
 
4.3%
9 50
 
4.1%
4 45
 
3.7%
7 39
 
3.2%
Math Symbol
ValueCountFrequency (%)
+ 7
35.0%
~ 4
20.0%
> 4
20.0%
< 3
15.0%
= 1
 
5.0%
1
 
5.0%
Letter Number
ValueCountFrequency (%)
20
76.9%
5
 
19.2%
1
 
3.8%
Close Punctuation
ValueCountFrequency (%)
) 44
91.7%
] 4
 
8.3%
Open Punctuation
ValueCountFrequency (%)
( 44
91.7%
[ 4
 
8.3%
Space Separator
ValueCountFrequency (%)
4428
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 208
100.0%
Other Symbol
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 43042
72.9%
Latin 9594
 
16.2%
Common 6386
 
10.8%
Han 59
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2063
 
4.8%
1711
 
4.0%
1710
 
4.0%
1375
 
3.2%
882
 
2.0%
809
 
1.9%
748
 
1.7%
712
 
1.7%
691
 
1.6%
657
 
1.5%
Other values (887) 31684
73.6%
Latin
ValueCountFrequency (%)
R 1814
18.9%
P 1810
18.9%
L 340
 
3.5%
S 337
 
3.5%
I 312
 
3.3%
E 304
 
3.2%
A 303
 
3.2%
e 277
 
2.9%
T 258
 
2.7%
V 233
 
2.4%
Other values (45) 3606
37.6%
Common
ValueCountFrequency (%)
4428
69.3%
0 403
 
6.3%
, 220
 
3.4%
- 208
 
3.3%
1 207
 
3.2%
2 150
 
2.3%
. 120
 
1.9%
5 99
 
1.6%
3 97
 
1.5%
8 69
 
1.1%
Other values (24) 385
 
6.0%
Han
ValueCountFrequency (%)
17
28.8%
14
23.7%
2
 
3.4%
2
 
3.4%
2
 
3.4%
2
 
3.4%
2
 
3.4%
2
 
3.4%
2
 
3.4%
1
 
1.7%
Other values (13) 13
22.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 43040
72.8%
ASCII 15941
 
27.0%
CJK 58
 
0.1%
Number Forms 26
 
< 0.1%
None 9
 
< 0.1%
Punctuation 5
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%
Arrows 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4428
27.8%
R 1814
 
11.4%
P 1810
 
11.4%
0 403
 
2.5%
L 340
 
2.1%
S 337
 
2.1%
I 312
 
2.0%
E 304
 
1.9%
A 303
 
1.9%
e 277
 
1.7%
Other values (73) 5613
35.2%
Hangul
ValueCountFrequency (%)
2063
 
4.8%
1711
 
4.0%
1710
 
4.0%
1375
 
3.2%
882
 
2.0%
809
 
1.9%
748
 
1.7%
712
 
1.7%
691
 
1.6%
657
 
1.5%
Other values (886) 31682
73.6%
Number Forms
ValueCountFrequency (%)
20
76.9%
5
 
19.2%
1
 
3.8%
CJK
ValueCountFrequency (%)
17
29.3%
14
24.1%
2
 
3.4%
2
 
3.4%
2
 
3.4%
2
 
3.4%
2
 
3.4%
2
 
3.4%
2
 
3.4%
1
 
1.7%
Other values (12) 12
20.7%
None
ValueCountFrequency (%)
· 7
77.8%
2
 
22.2%
Punctuation
ValueCountFrequency (%)
5
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
1
100.0%
Arrows
ValueCountFrequency (%)
1
100.0%

내용
Text

Distinct9509
Distinct (%)95.5%
Missing39
Missing (%)0.4%
Memory size156.2 KiB
2023-12-12T08:45:28.393565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length74
Median length57
Mean length15.534685
Min length1

Characters and Unicode

Total characters154741
Distinct characters1454
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks14 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9170 ?
Unique (%)92.1%

Sample

1st row꼭 필요한 교과서
2nd row신나는 색-레쎄 펑키브라운 437
3rd row이걸 다 따로따로 들어야 하나요
4th row기계의 생명은 기술에 있다는 시계광고
5th row프리티 핑크 그 색의 점령이 시작된다
ValueCountFrequency (%)
530
 
1.4%
광고 245
 
0.7%
있습니다 129
 
0.4%
새로운 114
 
0.3%
113
 
0.3%
탄생 111
 
0.3%
이제 90
 
0.2%
88
 
0.2%
83
 
0.2%
위한 77
 
0.2%
Other values (20086) 35016
95.7%
2023-12-12T08:45:28.922787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
26829
 
17.3%
3505
 
2.3%
3117
 
2.0%
2011
 
1.3%
2010
 
1.3%
1977
 
1.3%
1796
 
1.2%
1523
 
1.0%
1522
 
1.0%
1490
 
1.0%
Other values (1444) 108961
70.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 115136
74.4%
Space Separator 26829
 
17.3%
Uppercase Letter 3517
 
2.3%
Decimal Number 2827
 
1.8%
Lowercase Letter 2790
 
1.8%
Other Punctuation 2233
 
1.4%
Dash Punctuation 1054
 
0.7%
Math Symbol 142
 
0.1%
Close Punctuation 94
 
0.1%
Open Punctuation 94
 
0.1%
Other values (3) 25
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3505
 
3.0%
3117
 
2.7%
2011
 
1.7%
2010
 
1.7%
1977
 
1.7%
1796
 
1.6%
1523
 
1.3%
1522
 
1.3%
1490
 
1.3%
1478
 
1.3%
Other values (1346) 94707
82.3%
Lowercase Letter
ValueCountFrequency (%)
e 360
12.9%
o 241
 
8.6%
i 237
 
8.5%
t 210
 
7.5%
a 193
 
6.9%
r 192
 
6.9%
n 185
 
6.6%
l 163
 
5.8%
s 153
 
5.5%
m 130
 
4.7%
Other values (17) 726
26.0%
Uppercase Letter
ValueCountFrequency (%)
T 266
 
7.6%
S 266
 
7.6%
I 220
 
6.3%
A 219
 
6.2%
C 204
 
5.8%
O 202
 
5.7%
E 202
 
5.7%
L 180
 
5.1%
P 175
 
5.0%
R 172
 
4.9%
Other values (16) 1411
40.1%
Other Punctuation
ValueCountFrequency (%)
, 1438
64.4%
. 265
 
11.9%
168
 
7.5%
" 160
 
7.2%
% 79
 
3.5%
/ 62
 
2.8%
& 18
 
0.8%
* 14
 
0.6%
· 12
 
0.5%
: 8
 
0.4%
Other values (3) 9
 
0.4%
Decimal Number
ValueCountFrequency (%)
0 790
27.9%
1 577
20.4%
2 364
12.9%
5 220
 
7.8%
3 206
 
7.3%
9 175
 
6.2%
4 136
 
4.8%
6 128
 
4.5%
8 121
 
4.3%
7 110
 
3.9%
Math Symbol
ValueCountFrequency (%)
~ 105
73.9%
+ 21
 
14.8%
> 5
 
3.5%
< 4
 
2.8%
3
 
2.1%
= 2
 
1.4%
1
 
0.7%
1
 
0.7%
Other Symbol
ValueCountFrequency (%)
11
61.1%
° 4
 
22.2%
1
 
5.6%
1
 
5.6%
1
 
5.6%
Close Punctuation
ValueCountFrequency (%)
) 79
84.0%
] 15
 
16.0%
Open Punctuation
ValueCountFrequency (%)
( 79
84.0%
[ 15
 
16.0%
Letter Number
ValueCountFrequency (%)
5
83.3%
1
 
16.7%
Space Separator
ValueCountFrequency (%)
26829
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1054
100.0%
Modifier Symbol
ValueCountFrequency (%)
˚ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 114994
74.3%
Common 33282
 
21.5%
Latin 6312
 
4.1%
Han 153
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3505
 
3.0%
3117
 
2.7%
2011
 
1.7%
2010
 
1.7%
1977
 
1.7%
1796
 
1.6%
1523
 
1.3%
1522
 
1.3%
1490
 
1.3%
1478
 
1.3%
Other values (1268) 94565
82.2%
Han
ValueCountFrequency (%)
12
 
7.8%
6
 
3.9%
6
 
3.9%
6
 
3.9%
6
 
3.9%
6
 
3.9%
5
 
3.3%
5
 
3.3%
4
 
2.6%
3
 
2.0%
Other values (69) 94
61.4%
Latin
ValueCountFrequency (%)
e 360
 
5.7%
T 266
 
4.2%
S 266
 
4.2%
o 241
 
3.8%
i 237
 
3.8%
I 220
 
3.5%
A 219
 
3.5%
t 210
 
3.3%
C 204
 
3.2%
O 202
 
3.2%
Other values (44) 3887
61.6%
Common
ValueCountFrequency (%)
26829
80.6%
, 1438
 
4.3%
- 1054
 
3.2%
0 790
 
2.4%
1 577
 
1.7%
2 364
 
1.1%
. 265
 
0.8%
5 220
 
0.7%
3 206
 
0.6%
9 175
 
0.5%
Other values (33) 1364
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 114972
74.3%
ASCII 39394
 
25.5%
Punctuation 168
 
0.1%
CJK 146
 
0.1%
None 27
 
< 0.1%
Compat Jamo 11
 
< 0.1%
CJK Compat Ideographs 7
 
< 0.1%
Number Forms 6
 
< 0.1%
Arrows 3
 
< 0.1%
Enclosed Alphanum 2
 
< 0.1%
Other values (4) 5
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
26829
68.1%
, 1438
 
3.7%
- 1054
 
2.7%
0 790
 
2.0%
1 577
 
1.5%
2 364
 
0.9%
e 360
 
0.9%
T 266
 
0.7%
S 266
 
0.7%
. 265
 
0.7%
Other values (74) 7185
 
18.2%
Hangul
ValueCountFrequency (%)
3505
 
3.0%
3117
 
2.7%
2011
 
1.7%
2010
 
1.7%
1977
 
1.7%
1796
 
1.6%
1523
 
1.3%
1522
 
1.3%
1490
 
1.3%
1478
 
1.3%
Other values (1258) 94543
82.2%
Punctuation
ValueCountFrequency (%)
168
100.0%
None
ValueCountFrequency (%)
· 12
44.4%
11
40.7%
° 4
 
14.8%
CJK
ValueCountFrequency (%)
12
 
8.2%
6
 
4.1%
6
 
4.1%
6
 
4.1%
6
 
4.1%
5
 
3.4%
5
 
3.4%
4
 
2.7%
3
 
2.1%
3
 
2.1%
Other values (67) 90
61.6%
CJK Compat Ideographs
ValueCountFrequency (%)
6
85.7%
1
 
14.3%
Number Forms
ValueCountFrequency (%)
5
83.3%
1
 
16.7%
Arrows
ValueCountFrequency (%)
3
100.0%
Compat Jamo
ValueCountFrequency (%)
3
27.3%
1
 
9.1%
1
 
9.1%
1
 
9.1%
1
 
9.1%
1
 
9.1%
1
 
9.1%
1
 
9.1%
1
 
9.1%
Enclosed Alphanum
ValueCountFrequency (%)
1
50.0%
1
50.0%
Math Operators
ValueCountFrequency (%)
1
50.0%
1
50.0%
Misc Symbols
ValueCountFrequency (%)
1
100.0%
Modifier Letters
ValueCountFrequency (%)
˚ 1
100.0%
Letterlike Symbols
ValueCountFrequency (%)
1
100.0%

Interactions

2023-12-12T08:45:22.467654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T08:45:29.033670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
년도매체구분대분류
년도1.0000.5290.466
매체구분0.5291.0000.367
대분류0.4660.3671.000
2023-12-12T08:45:29.112947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대분류매체구분
대분류1.0000.322
매체구분0.3221.000
2023-12-12T08:45:29.192015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
년도매체구분대분류
년도1.0000.4070.191
매체구분0.4071.0000.322
대분류0.1910.3221.000

Missing values

2023-12-12T08:45:22.582734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T08:45:22.718678image/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.
2023-12-12T08:45:22.844820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

번호년도매체구분매체대분류중분류소분류광고주제품내용
14228ogilbi-23221997신문기타신문수송기기수송기기 기타수송기기 기업PR현대자동차(주)기업PR꼭 필요한 교과서
6600Amore-2781995잡지기타잡지화장품 및 보건용품여성 색조화장품여성 색조화장품 제품종합태평양화학레쎄 펑키브라운신나는 색-레쎄 펑키브라운 437
17278Phoenix-8802006신문기타신문금융, 보험 및 증권금융 및 보험생명보험아이엔지생명보험(주)ING 라이프 정기보험이걸 다 따로따로 들어야 하나요
18645MM-1931931잡지동광(東光)그룹 및 기업광고기타광고기타기업PR더블유 시계점기업PR기계의 생명은 기술에 있다는 시계광고
5064장업 (1489)1994신문화장품신문화장품 및 보건용품여성 색조화장품눈 및 입술 색조화장품한국화장품(주)쥬단한 르비앙 크레아트프리티 핑크 그 색의 점령이 시작된다
6015LG-AD-16341986신문중앙일보화장품 및 보건용품화장품 및 보건용품 기타화장품 및 보건용품 제품종합럭키금성상사럭키선물셋트알차고 실속있는 럭키선물셋트로 감사의 마음을 전하세요
18621SNU-7041909신문황성신문그룹 및 기업광고그룹광고그룹PR한미흥업㈜<NA>한미흥업㈜ 광고
12886HAKUHODO-1572005신문기타신문컴퓨터 및 정보통신컴퓨터데스크탑 PCDELLDELL 컴퓨터64비트 지원과 저소음, 저발열 BTX표준 디자인을 한번에 보너스로 512MB 메모리 무료 업그레이드까지~
7056Amore-4732001잡지기타잡지화장품 및 보건용품여성 색조화장품여성 색조화장품 제품종합태평양화학헤라 2001 autumn Make-up fumee morningLa fumee
5867LG-AD-33261980잡지여성중앙화장품 및 보건용품모발 및 목욕용제샴푸, 린스아로마기업PR구라파 타입
번호년도매체구분매체대분류중분류소분류광고주제품내용
961nongshim112004신문기타신문식품면류봉지 인스턴트 면류(주)농심신라면"라면은 역시 신라면이죠"
11966ogilbi-26471997신문기타신문컴퓨터 및 정보통신통신기기전화기현대전자산업(주)예써캡902감각 코디네이션 900전화기 - 예써캡902
7545MM-3431941잡지국민문학(國民文學)출판신문중앙신문(주)매일신문사기업PR매일신문, 국민신보,매신사진순보 광고
8617AWARDS97 (8)1996신문기타신문패션신발류신사숙녀화(주)엘칸토개그개그 새물건 편
14283ogilbi-23571998신문기타신문수송기기승용자동차중형승용차현대자동차(주)EF쏘나타다윈이 옳았다 - EF소나타
11504LG-AD-18511990신문매일경제신문컴퓨터 및 정보통신통신기기팩시밀리금성사금성팩시밀리금성 팩시밀리로 늘 앞서갑니다
17226HAKUHODO-2732006신문기타신문금융, 보험 및 증권금융 및 보험생명보험아메리카인터내셔날어슈어런스캄파니여자니까 AIG여성보험여자니까 더 받을 수 있는 보험 월2만원대 여자를 위한 입원비보험 탄생
9392조선광고대상00981970신문조선일보정밀기기 및 사무기기시계시계 제품종합(주)오리엔트오리엔트사랑이 싹틀때 행복의 시간이
39681996-01 (165)1995신문기타신문제약 및 의료대사성의약성인종합영양제영진약품공업(주)구론산바몬드활력 찾았어
11468LG-AD-27031989신문한국일보컴퓨터 및 정보통신컴퓨터데스크탑 PC금성사금성컴퓨터파트너와 함께라면 무엇이든지 할수있다