Overview

Dataset statistics

Number of variables7
Number of observations1440
Missing cells230
Missing cells (%)2.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory80.3 KiB
Average record size in memory57.1 B

Variable types

Text5
Numeric1
Categorical1

Dataset

Description한국방송광고진흥공사 광고박물관이 소장하고 있는 분야별 광고소재의 디지털 아카이브 데이터로 기타광고 관련 항목들을 제공합니다.
Author한국방송광고진흥공사
URLhttps://www.data.go.kr/data/15044288/fileData.do

Alerts

년도 has 206 (14.3%) missing valuesMissing
제품 has 24 (1.7%) missing valuesMissing
번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 06:00:11.539639
Analysis finished2023-12-12 06:00:13.273011
Duration1.73 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Text

UNIQUE 

Distinct1440
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size11.4 KiB
2023-12-12T15:00:13.527039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length8.1013889
Min length6

Characters and Unicode

Total characters11666
Distinct characters23
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

Unique1440 ?
Unique (%)100.0%

Sample

1st row태평양001
2nd row태평양002
3rd row태평양003
4th row태평양004
5th row태평양005
ValueCountFrequency (%)
etc 424
 
22.7%
태평양001 1
 
0.1%
tele169 1
 
0.1%
tele178 1
 
0.1%
tele177 1
 
0.1%
tele176 1
 
0.1%
tele175 1
 
0.1%
tele174 1
 
0.1%
tele173 1
 
0.1%
tele172 1
 
0.1%
Other values (1431) 1431
76.8%
2023-12-12T15:00:14.034922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
E 1306
 
11.2%
2 743
 
6.4%
1 733
 
6.3%
) 716
 
6.1%
( 716
 
6.1%
L 653
 
5.6%
T 653
 
5.6%
3 647
 
5.5%
0 492
 
4.2%
- 473
 
4.1%
Other values (13) 4534
38.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4364
37.4%
Uppercase Letter 2612
22.4%
Lowercase Letter 1416
 
12.1%
Other Letter 945
 
8.1%
Close Punctuation 716
 
6.1%
Open Punctuation 716
 
6.1%
Dash Punctuation 473
 
4.1%
Space Separator 424
 
3.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 743
17.0%
1 733
16.8%
3 647
14.8%
0 492
11.3%
4 396
9.1%
5 304
7.0%
6 271
 
6.2%
7 260
 
6.0%
9 260
 
6.0%
8 258
 
5.9%
Uppercase Letter
ValueCountFrequency (%)
E 1306
50.0%
L 653
25.0%
T 653
25.0%
Lowercase Letter
ValueCountFrequency (%)
c 472
33.3%
t 472
33.3%
e 472
33.3%
Other Letter
ValueCountFrequency (%)
태 315
33.3%
평 315
33.3%
양 315
33.3%
Close Punctuation
ValueCountFrequency (%)
) 716
100.0%
Open Punctuation
ValueCountFrequency (%)
( 716
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 473
100.0%
Space Separator
ValueCountFrequency (%)
424
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6693
57.4%
Latin 4028
34.5%
Hangul 945
 
8.1%

Most frequent character per script

Common
ValueCountFrequency (%)
2 743
11.1%
1 733
11.0%
) 716
10.7%
( 716
10.7%
3 647
9.7%
0 492
7.4%
- 473
7.1%
424
6.3%
4 396
 
5.9%
5 304
 
4.5%
Other values (4) 1049
15.7%
Latin
ValueCountFrequency (%)
E 1306
32.4%
L 653
16.2%
T 653
16.2%
c 472
 
11.7%
t 472
 
11.7%
e 472
 
11.7%
Hangul
ValueCountFrequency (%)
태 315
33.3%
평 315
33.3%
양 315
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10721
91.9%
Hangul 945
 
8.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
E 1306
 
12.2%
2 743
 
6.9%
1 733
 
6.8%
) 716
 
6.7%
( 716
 
6.7%
L 653
 
6.1%
T 653
 
6.1%
3 647
 
6.0%
0 492
 
4.6%
- 473
 
4.4%
Other values (10) 3589
33.5%
Hangul
ValueCountFrequency (%)
태 315
33.3%
평 315
33.3%
양 315
33.3%

년도
Real number (ℝ)

MISSING 

Distinct48
Distinct (%)3.9%
Missing206
Missing (%)14.3%
Infinite0
Infinite (%)0.0%
Mean1985.7699
Minimum1946
Maximum2007
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.8 KiB
2023-12-12T15:00:14.189518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1946
5-th percentile1965.3
Q11977
median1987
Q31993
95-th percentile2006
Maximum2007
Range61
Interquartile range (IQR)16

Descriptive statistics

Standard deviation11.998602
Coefficient of variation (CV)0.0060422924
Kurtosis-0.69144027
Mean1985.7699
Median Absolute Deviation (MAD)9
Skewness-0.19179536
Sum2450440
Variance143.96645
MonotonicityNot monotonic
2023-12-12T15:00:14.367414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
1987 81
 
5.6%
1989 80
 
5.6%
2003 64
 
4.4%
1999 59
 
4.1%
1992 55
 
3.8%
1973 54
 
3.8%
1991 46
 
3.2%
1993 44
 
3.1%
1998 44
 
3.1%
1974 40
 
2.8%
Other values (38) 667
46.3%
(Missing) 206
 
14.3%
ValueCountFrequency (%)
1946 1
 
0.1%
1955 1
 
0.1%
1957 1
 
0.1%
1958 1
 
0.1%
1959 1
 
0.1%
1961 16
1.1%
1962 20
1.4%
1963 8
 
0.6%
1964 13
0.9%
1966 20
1.4%
ValueCountFrequency (%)
2007 35
2.4%
2006 28
1.9%
2005 1
 
0.1%
2003 64
4.4%
2002 16
 
1.1%
2000 25
 
1.7%
1999 59
4.1%
1998 44
3.1%
1997 14
 
1.0%
1995 2
 
0.1%

대분류
Categorical

Distinct23
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size11.4 KiB
화장품 및 보건용품
339 
서비스
179 
그룹 및 기업광고
119 
관공서 및 단체
115 
제약 및 의료
100 
Other values (18)
588 

Length

Max length12
Median length10
Mean length7.6104167
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row화장품 및 보건용품
2nd row화장품 및 보건용품
3rd row화장품 및 보건용품
4th row화장품 및 보건용품
5th row화장품 및 보건용품

Common Values

ValueCountFrequency (%)
화장품 및 보건용품 339
23.5%
서비스 179
12.4%
그룹 및 기업광고 119
 
8.3%
관공서 및 단체 115
 
8.0%
제약 및 의료 100
 
6.9%
컴퓨터 및 정보통신 98
 
6.8%
건설,건재 및 부동산 94
 
6.5%
가정용품 64
 
4.4%
금융,보험및 증권 60
 
4.2%
출판 34
 
2.4%
Other values (13) 238
16.5%

Length

2023-12-12T15:00:14.514601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
및 953
27.7%
화장품 339
 
9.9%
보건용품 339
 
9.9%
서비스 179
 
5.2%
그룹 119
 
3.5%
기업광고 119
 
3.5%
관공서 115
 
3.3%
단체 115
 
3.3%
의료 100
 
2.9%
제약 100
 
2.9%
Other values (24) 962
28.0%

중분류
Text

Distinct101
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size11.4 KiB
2023-12-12T15:00:14.831803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length6.8284722
Min length2

Characters and Unicode

Total characters9833
Distinct characters153
Distinct categories3 ?
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 (%)1.2%

Sample

1st row여성 색조화장품
2nd row여성 기초화장품
3rd row화장품 및 보건용품 기타
4th row화장품 및 보건용품 기타
5th row화장품 및 보건용품 기타
ValueCountFrequency (%)
및 454
 
15.2%
기타 310
 
10.3%
여성 223
 
7.4%
기초화장품 192
 
6.4%
그룹광고 119
 
4.0%
관공서 71
 
2.4%
단체 69
 
2.3%
화장품 61
 
2.0%
부동산 60
 
2.0%
건설,건재 59
 
2.0%
Other values (119) 1378
46.0%
2023-12-12T15:00:15.433795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1557
 
15.8%
기 838
 
8.5%
및 454
 
4.6%
품 379
 
3.9%
타 326
 
3.3%
화 313
 
3.2%
장 300
 
3.1%
성 270
 
2.7%
여 246
 
2.5%
건 210
 
2.1%
Other values (143) 4940
50.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8189
83.3%
Space Separator 1557
 
15.8%
Other Punctuation 87
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 838
 
10.2%
및 454
 
5.5%
품 379
 
4.6%
타 326
 
4.0%
화 313
 
3.8%
장 300
 
3.7%
성 270
 
3.3%
여 246
 
3.0%
건 210
 
2.6%
초 195
 
2.4%
Other values (141) 4658
56.9%
Space Separator
ValueCountFrequency (%)
1557
100.0%
Other Punctuation
ValueCountFrequency (%)
, 87
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8189
83.3%
Common 1644
 
16.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 838
 
10.2%
및 454
 
5.5%
품 379
 
4.6%
타 326
 
4.0%
화 313
 
3.8%
장 300
 
3.7%
성 270
 
3.3%
여 246
 
3.0%
건 210
 
2.6%
초 195
 
2.4%
Other values (141) 4658
56.9%
Common
ValueCountFrequency (%)
1557
94.7%
, 87
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8189
83.3%
ASCII 1644
 
16.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1557
94.7%
, 87
 
5.3%
Hangul
ValueCountFrequency (%)
기 838
 
10.2%
및 454
 
5.5%
품 379
 
4.6%
타 326
 
4.0%
화 313
 
3.8%
장 300
 
3.7%
성 270
 
3.3%
여 246
 
3.0%
건 210
 
2.6%
초 195
 
2.4%
Other values (141) 4658
56.9%

소분류
Text

Distinct222
Distinct (%)15.4%
Missing0
Missing (%)0.0%
Memory size11.4 KiB
2023-12-12T15:00:15.834335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length13
Mean length7.5270833
Min length1

Characters and Unicode

Total characters10839
Distinct characters279
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

Unique79 ?
Unique (%)5.5%

Sample

1st row파우더
2nd row여성 일반기초화장품
3rd row화장품 및 보건용품 기업PR
4th row화장품 및 보건용품 기업PR
5th row화장품 및 보건용품 기업PR
ValueCountFrequency (%)
및 317
 
11.3%
기업pr 304
 
10.8%
여성 191
 
6.8%
일반기초화장품 184
 
6.5%
그룹pr 119
 
4.2%
기타 77
 
2.7%
건설,건재 59
 
2.1%
부동산 59
 
2.1%
컴퓨터 53
 
1.9%
정보통신 53
 
1.9%
Other values (257) 1398
49.7%
2023-12-12T15:00:16.350664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1374
 
12.7%
기 823
 
7.6%
R 421
 
3.9%
P 421
 
3.9%
품 359
 
3.3%
업 335
 
3.1%
및 320
 
3.0%
화 303
 
2.8%
장 293
 
2.7%
성 242
 
2.2%
Other values (269) 5948
54.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8480
78.2%
Space Separator 1374
 
12.7%
Uppercase Letter 874
 
8.1%
Other Punctuation 107
 
1.0%
Lowercase Letter 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 823
 
9.7%
품 359
 
4.2%
업 335
 
4.0%
및 320
 
3.8%
화 303
 
3.6%
장 293
 
3.5%
성 242
 
2.9%
여 225
 
2.7%
초 214
 
2.5%
일 197
 
2.3%
Other values (261) 5169
61.0%
Uppercase Letter
ValueCountFrequency (%)
R 421
48.2%
P 421
48.2%
T 16
 
1.8%
V 16
 
1.8%
Lowercase Letter
ValueCountFrequency (%)
r 2
50.0%
p 2
50.0%
Space Separator
ValueCountFrequency (%)
1374
100.0%
Other Punctuation
ValueCountFrequency (%)
, 107
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8480
78.2%
Common 1481
 
13.7%
Latin 878
 
8.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 823
 
9.7%
품 359
 
4.2%
업 335
 
4.0%
및 320
 
3.8%
화 303
 
3.6%
장 293
 
3.5%
성 242
 
2.9%
여 225
 
2.7%
초 214
 
2.5%
일 197
 
2.3%
Other values (261) 5169
61.0%
Latin
ValueCountFrequency (%)
R 421
47.9%
P 421
47.9%
T 16
 
1.8%
V 16
 
1.8%
r 2
 
0.2%
p 2
 
0.2%
Common
ValueCountFrequency (%)
1374
92.8%
, 107
 
7.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8480
78.2%
ASCII 2359
 
21.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1374
58.2%
R 421
 
17.8%
P 421
 
17.8%
, 107
 
4.5%
T 16
 
0.7%
V 16
 
0.7%
r 2
 
0.1%
p 2
 
0.1%
Hangul
ValueCountFrequency (%)
기 823
 
9.7%
품 359
 
4.2%
업 335
 
4.0%
및 320
 
3.8%
화 303
 
3.6%
장 293
 
3.5%
성 242
 
2.9%
여 225
 
2.7%
초 214
 
2.5%
일 197
 
2.3%
Other values (261) 5169
61.0%

광고주
Text

Distinct789
Distinct (%)54.8%
Missing0
Missing (%)0.0%
Memory size11.4 KiB
2023-12-12T15:00:16.722276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length14
Mean length5.9666667
Min length2

Characters and Unicode

Total characters8592
Distinct characters424
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique684 ?
Unique (%)47.5%

Sample

1st row태평양화학
2nd row태평양화학
3rd row태평양화학
4th row태평양화학
5th row태평양화학
ValueCountFrequency (%)
태평양화학 318
 
21.2%
전매청 49
 
3.3%
한국담배인삼공사 23
 
1.5%
한국화장품(주 16
 
1.1%
주)유한양행 16
 
1.1%
주)케이티 14
 
0.9%
한국전매공사 14
 
0.9%
럭키 13
 
0.9%
주)피어리스 11
 
0.7%
한국전화번호부(주 9
 
0.6%
Other values (823) 1018
67.8%
2023-12-12T15:00:17.271658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
화 412
 
4.8%
양 377
 
4.4%
주 370
 
4.3%
학 340
 
4.0%
태 336
 
3.9%
평 325
 
3.8%
) 285
 
3.3%
( 282
 
3.3%
사 266
 
3.1%
한 191
 
2.2%
Other values (414) 5408
62.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7853
91.4%
Close Punctuation 285
 
3.3%
Open Punctuation 282
 
3.3%
Space Separator 62
 
0.7%
Uppercase Letter 48
 
0.6%
Other Symbol 37
 
0.4%
Decimal Number 11
 
0.1%
Other Punctuation 8
 
0.1%
Lowercase Letter 4
 
< 0.1%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
화 412
 
5.2%
양 377
 
4.8%
주 370
 
4.7%
학 340
 
4.3%
태 336
 
4.3%
평 325
 
4.1%
사 266
 
3.4%
한 191
 
2.4%
전 153
 
1.9%
국 143
 
1.8%
Other values (382) 4940
62.9%
Uppercase Letter
ValueCountFrequency (%)
A 7
14.6%
T 5
10.4%
V 4
8.3%
R 4
8.3%
E 4
8.3%
O 4
8.3%
P 4
8.3%
K 3
 
6.2%
S 2
 
4.2%
U 2
 
4.2%
Other values (7) 9
18.8%
Decimal Number
ValueCountFrequency (%)
8 5
45.5%
1 3
27.3%
3 1
 
9.1%
2 1
 
9.1%
4 1
 
9.1%
Lowercase Letter
ValueCountFrequency (%)
e 2
50.0%
o 1
25.0%
m 1
25.0%
Other Punctuation
ValueCountFrequency (%)
, 5
62.5%
. 3
37.5%
Close Punctuation
ValueCountFrequency (%)
) 285
100.0%
Open Punctuation
ValueCountFrequency (%)
( 282
100.0%
Space Separator
ValueCountFrequency (%)
62
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 37
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7890
91.8%
Common 650
 
7.6%
Latin 52
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
화 412
 
5.2%
양 377
 
4.8%
주 370
 
4.7%
학 340
 
4.3%
태 336
 
4.3%
평 325
 
4.1%
사 266
 
3.4%
한 191
 
2.4%
전 153
 
1.9%
국 143
 
1.8%
Other values (383) 4977
63.1%
Latin
ValueCountFrequency (%)
A 7
13.5%
T 5
 
9.6%
V 4
 
7.7%
R 4
 
7.7%
E 4
 
7.7%
O 4
 
7.7%
P 4
 
7.7%
K 3
 
5.8%
S 2
 
3.8%
U 2
 
3.8%
Other values (10) 13
25.0%
Common
ValueCountFrequency (%)
) 285
43.8%
( 282
43.4%
62
 
9.5%
, 5
 
0.8%
8 5
 
0.8%
1 3
 
0.5%
. 3
 
0.5%
- 2
 
0.3%
3 1
 
0.2%
2 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7853
91.4%
ASCII 702
 
8.2%
None 37
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
화 412
 
5.2%
양 377
 
4.8%
주 370
 
4.7%
학 340
 
4.3%
태 336
 
4.3%
평 325
 
4.1%
사 266
 
3.4%
한 191
 
2.4%
전 153
 
1.9%
국 143
 
1.8%
Other values (382) 4940
62.9%
ASCII
ValueCountFrequency (%)
) 285
40.6%
( 282
40.2%
62
 
8.8%
A 7
 
1.0%
, 5
 
0.7%
8 5
 
0.7%
T 5
 
0.7%
V 4
 
0.6%
R 4
 
0.6%
E 4
 
0.6%
Other values (21) 39
 
5.6%
None
ValueCountFrequency (%)
㈜ 37
100.0%

제품
Text

MISSING 

Distinct1047
Distinct (%)73.9%
Missing24
Missing (%)1.7%
Memory size11.4 KiB
2023-12-12T15:00:17.746207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length23
Mean length6.9258475
Min length1

Characters and Unicode

Total characters9807
Distinct characters619
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

Unique939 ?
Unique (%)66.3%

Sample

1st row코-티粉
2nd row몽블랑 크림
3rd row2월 달력
4th row5월 달력
5th row3월 달력
ValueCountFrequency (%)
기업pr 194
 
8.7%
아모레 23
 
1.0%
프리메라 15
 
0.7%
탐스핀 15
 
0.7%
달력 15
 
0.7%
대통령 13
 
0.6%
쥬단학 13
 
0.6%
기념 11
 
0.5%
헤라 10
 
0.4%
화장품 10
 
0.4%
Other values (1442) 1914
85.7%
2023-12-12T15:00:18.426691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
826
 
8.4%
기 311
 
3.2%
업 255
 
2.6%
R 208
 
2.1%
P 207
 
2.1%
스 173
 
1.8%
사 151
 
1.5%
이 138
 
1.4%
주 116
 
1.2%
라 113
 
1.2%
Other values (609) 7309
74.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7962
81.2%
Space Separator 826
 
8.4%
Uppercase Letter 564
 
5.8%
Decimal Number 293
 
3.0%
Other Punctuation 60
 
0.6%
Other Symbol 38
 
0.4%
Dash Punctuation 35
 
0.4%
Close Punctuation 11
 
0.1%
Lowercase Letter 9
 
0.1%
Open Punctuation 8
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 311
 
3.9%
업 255
 
3.2%
스 173
 
2.2%
사 151
 
1.9%
이 138
 
1.7%
주 116
 
1.5%
라 113
 
1.4%
회 107
 
1.3%
대 106
 
1.3%
아 105
 
1.3%
Other values (559) 6387
80.2%
Uppercase Letter
ValueCountFrequency (%)
R 208
36.9%
P 207
36.7%
C 15
 
2.7%
A 15
 
2.7%
V 14
 
2.5%
T 12
 
2.1%
K 10
 
1.8%
U 9
 
1.6%
E 8
 
1.4%
O 8
 
1.4%
Other values (13) 58
 
10.3%
Decimal Number
ValueCountFrequency (%)
1 60
20.5%
0 59
20.1%
2 42
14.3%
8 28
9.6%
5 25
8.5%
3 24
 
8.2%
4 15
 
5.1%
7 15
 
5.1%
9 14
 
4.8%
6 11
 
3.8%
Lowercase Letter
ValueCountFrequency (%)
i 2
22.2%
t 2
22.2%
e 1
11.1%
y 1
11.1%
c 1
11.1%
g 1
11.1%
h 1
11.1%
Other Punctuation
ValueCountFrequency (%)
, 45
75.0%
. 10
 
16.7%
% 3
 
5.0%
/ 2
 
3.3%
Space Separator
ValueCountFrequency (%)
826
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 38
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 35
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7999
81.6%
Common 1234
 
12.6%
Latin 573
 
5.8%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 311
 
3.9%
업 255
 
3.2%
스 173
 
2.2%
사 151
 
1.9%
이 138
 
1.7%
주 116
 
1.5%
라 113
 
1.4%
회 107
 
1.3%
대 106
 
1.3%
아 105
 
1.3%
Other values (559) 6424
80.3%
Latin
ValueCountFrequency (%)
R 208
36.3%
P 207
36.1%
C 15
 
2.6%
A 15
 
2.6%
V 14
 
2.4%
T 12
 
2.1%
K 10
 
1.7%
U 9
 
1.6%
E 8
 
1.4%
O 8
 
1.4%
Other values (20) 67
 
11.7%
Common
ValueCountFrequency (%)
826
66.9%
1 60
 
4.9%
0 59
 
4.8%
, 45
 
3.6%
2 42
 
3.4%
- 35
 
2.8%
8 28
 
2.3%
5 25
 
2.0%
3 24
 
1.9%
4 15
 
1.2%
Other values (9) 75
 
6.1%
Han
ValueCountFrequency (%)
粉 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7961
81.2%
ASCII 1807
 
18.4%
None 38
 
0.4%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
826
45.7%
R 208
 
11.5%
P 207
 
11.5%
1 60
 
3.3%
0 59
 
3.3%
, 45
 
2.5%
2 42
 
2.3%
- 35
 
1.9%
8 28
 
1.5%
5 25
 
1.4%
Other values (39) 272
 
15.1%
Hangul
ValueCountFrequency (%)
기 311
 
3.9%
업 255
 
3.2%
스 173
 
2.2%
사 151
 
1.9%
이 138
 
1.7%
주 116
 
1.5%
라 113
 
1.4%
회 107
 
1.3%
대 106
 
1.3%
아 105
 
1.3%
Other values (558) 6386
80.2%
None
ValueCountFrequency (%)
㈜ 38
100.0%
CJK
ValueCountFrequency (%)
粉 1
100.0%

Interactions

2023-12-12T15:00:12.398726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T15:00:18.536247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
년도대분류
년도1.0000.576
대분류0.5761.000
2023-12-12T15:00:18.624540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
년도대분류
년도1.0000.246
대분류0.2461.000

Missing values

2023-12-12T15:00:12.586197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:00:13.083725image/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.
2023-12-12T15:00:13.209571image/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

번호년도대분류중분류소분류광고주제품
0태평양0011967화장품 및 보건용품여성 색조화장품파우더태평양화학코-티粉
1태평양0021967화장품 및 보건용품여성 기초화장품여성 일반기초화장품태평양화학몽블랑 크림
2태평양0031966화장품 및 보건용품화장품 및 보건용품 기타화장품 및 보건용품 기업PR태평양화학2월 달력
3태평양0041967화장품 및 보건용품화장품 및 보건용품 기타화장품 및 보건용품 기업PR태평양화학5월 달력
4태평양0051968화장품 및 보건용품화장품 및 보건용품 기타화장품 및 보건용품 기업PR태평양화학3월 달력
5태평양0061969화장품 및 보건용품화장품 및 보건용품 기타화장품 및 보건용품 기업PR태평양화학11월 달력
6태평양0071963화장품 및 보건용품화장품 및 보건용품 기타화장품 및 보건용품 기업PR태평양화학태평양 화장품
7태평양0081975화장품 및 보건용품화장품 및 보건용품 기타화장품 및 보건용품 기업PR태평양화학1월 달력
8태평양0091975화장품 및 보건용품화장품 및 보건용품 기타화장품 및 보건용품 기업PR태평양화학1월 달력
9태평양0101975화장품 및 보건용품화장품 및 보건용품 기타화장품 및 보건용품 기업PR태평양화학1-2월 달력
번호년도대분류중분류소분류광고주제품
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