Overview

Dataset statistics

Number of variables8
Number of observations1508
Missing cells136
Missing cells (%)1.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory94.4 KiB
Average record size in memory64.1 B

Variable types

Text6
Categorical2

Dataset

Description한국방송광고진흥공사 광고박물관이 소장하고 있는 분야별 광고소재의 디지털 아카이브 데이터로 옥외광고 관련 항목들을 제공합니다.
Author한국방송광고진흥공사
URLhttps://www.data.go.kr/data/15044287/fileData.do

Alerts

매체 has constant value ""Constant
제목 has 112 (7.4%) missing valuesMissing
번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 01:20:42.028130
Analysis finished2023-12-12 01:20:43.438057
Duration1.41 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Text

UNIQUE 

Distinct1508
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size11.9 KiB
2023-12-12T10:20:43.781017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length9.9522546
Min length8

Characters and Unicode

Total characters15008
Distinct characters17
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1508 ?
Unique (%)100.0%

Sample

1st row옥외 (001)
2nd row옥외 (003)
3rd row옥외 (004)
4th row옥외 (007)
5th row옥외 (010)
ValueCountFrequency (%)
옥외광고 1227
33.9%
2 604
16.7%
옥외 281
 
7.8%
347 2
 
0.1%
346 2
 
0.1%
277 2
 
0.1%
278 2
 
0.1%
280 2
 
0.1%
282 2
 
0.1%
284 2
 
0.1%
Other values (1299) 1494
41.3%
2023-12-12T10:20:44.420663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2112
14.1%
옥 1508
10.0%
외 1508
10.0%
광 1227
8.2%
고 1227
8.2%
2 1175
7.8%
0 1066
 
7.1%
) 885
 
5.9%
( 885
 
5.9%
1 567
 
3.8%
Other values (7) 2848
19.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5656
37.7%
Other Letter 5470
36.4%
Space Separator 2112
 
14.1%
Close Punctuation 885
 
5.9%
Open Punctuation 885
 
5.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 1175
20.8%
0 1066
18.8%
1 567
10.0%
4 545
9.6%
3 540
9.5%
5 501
8.9%
6 399
 
7.1%
7 294
 
5.2%
9 287
 
5.1%
8 282
 
5.0%
Other Letter
ValueCountFrequency (%)
옥 1508
27.6%
외 1508
27.6%
광 1227
22.4%
고 1227
22.4%
Space Separator
ValueCountFrequency (%)
2112
100.0%
Close Punctuation
ValueCountFrequency (%)
) 885
100.0%
Open Punctuation
ValueCountFrequency (%)
( 885
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9538
63.6%
Hangul 5470
36.4%

Most frequent character per script

Common
ValueCountFrequency (%)
2112
22.1%
2 1175
12.3%
0 1066
11.2%
) 885
9.3%
( 885
9.3%
1 567
 
5.9%
4 545
 
5.7%
3 540
 
5.7%
5 501
 
5.3%
6 399
 
4.2%
Other values (3) 863
9.0%
Hangul
ValueCountFrequency (%)
옥 1508
27.6%
외 1508
27.6%
광 1227
22.4%
고 1227
22.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9538
63.6%
Hangul 5470
36.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2112
22.1%
2 1175
12.3%
0 1066
11.2%
) 885
9.3%
( 885
9.3%
1 567
 
5.9%
4 545
 
5.7%
3 540
 
5.7%
5 501
 
5.3%
6 399
 
4.2%
Other values (3) 863
9.0%
Hangul
ValueCountFrequency (%)
옥 1508
27.6%
외 1508
27.6%
광 1227
22.4%
고 1227
22.4%

광고주
Text

Distinct1117
Distinct (%)74.8%
Missing14
Missing (%)0.9%
Memory size11.9 KiB
2023-12-12T10:20:44.682848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length18
Mean length6.5100402
Min length1

Characters and Unicode

Total characters9726
Distinct characters657
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique969 ?
Unique (%)64.9%

Sample

1st row시스템 하우젠
2nd row아르누보씨티
3rd rowMAX beer
4th row오뎅사께
5th row궁 과 전
ValueCountFrequency (%)
미상 34
 
1.9%
에스케이텔레콤(주 25
 
1.4%
삼성전자(주 24
 
1.3%
주)나이키스포츠 17
 
1.0%
주)케이티앤지 16
 
0.9%
주)케이티프리텔 10
 
0.6%
주)엘지화학 10
 
0.6%
소니코리아(주 9
 
0.5%
주)엘지텔레콤 8
 
0.4%
엘지전자(주 8
 
0.4%
Other values (1321) 1617
90.9%
2023-12-12T10:20:45.150661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 456
 
4.7%
( 444
 
4.6%
) 444
 
4.6%
288
 
3.0%
스 204
 
2.1%
이 204
 
2.1%
리 156
 
1.6%
A 133
 
1.4%
아 120
 
1.2%
O 118
 
1.2%
Other values (647) 7159
73.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6235
64.1%
Uppercase Letter 1416
 
14.6%
Lowercase Letter 776
 
8.0%
Open Punctuation 444
 
4.6%
Close Punctuation 444
 
4.6%
Space Separator 288
 
3.0%
Decimal Number 87
 
0.9%
Other Punctuation 18
 
0.2%
Dash Punctuation 9
 
0.1%
Other Symbol 8
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 456
 
7.3%
스 204
 
3.3%
이 204
 
3.3%
리 156
 
2.5%
아 120
 
1.9%
지 104
 
1.7%
한 76
 
1.2%
케 73
 
1.2%
레 70
 
1.1%
국 70
 
1.1%
Other values (576) 4702
75.4%
Uppercase Letter
ValueCountFrequency (%)
A 133
 
9.4%
O 118
 
8.3%
E 111
 
7.8%
I 99
 
7.0%
S 90
 
6.4%
R 84
 
5.9%
T 81
 
5.7%
L 77
 
5.4%
N 75
 
5.3%
C 72
 
5.1%
Other values (16) 476
33.6%
Lowercase Letter
ValueCountFrequency (%)
a 93
12.0%
e 90
11.6%
i 64
 
8.2%
o 62
 
8.0%
t 54
 
7.0%
s 51
 
6.6%
n 48
 
6.2%
l 48
 
6.2%
r 36
 
4.6%
c 25
 
3.2%
Other values (15) 205
26.4%
Decimal Number
ValueCountFrequency (%)
0 26
29.9%
1 13
14.9%
9 10
 
11.5%
2 9
 
10.3%
3 9
 
10.3%
5 6
 
6.9%
8 5
 
5.7%
6 4
 
4.6%
7 3
 
3.4%
4 2
 
2.3%
Other Punctuation
ValueCountFrequency (%)
. 11
61.1%
& 4
 
22.2%
, 2
 
11.1%
# 1
 
5.6%
Open Punctuation
ValueCountFrequency (%)
( 444
100.0%
Close Punctuation
ValueCountFrequency (%)
) 444
100.0%
Space Separator
ValueCountFrequency (%)
288
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 8
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6243
64.2%
Latin 2192
 
22.5%
Common 1291
 
13.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 456
 
7.3%
스 204
 
3.3%
이 204
 
3.3%
리 156
 
2.5%
아 120
 
1.9%
지 104
 
1.7%
한 76
 
1.2%
케 73
 
1.2%
레 70
 
1.1%
국 70
 
1.1%
Other values (577) 4710
75.4%
Latin
ValueCountFrequency (%)
A 133
 
6.1%
O 118
 
5.4%
E 111
 
5.1%
I 99
 
4.5%
a 93
 
4.2%
e 90
 
4.1%
S 90
 
4.1%
R 84
 
3.8%
T 81
 
3.7%
L 77
 
3.5%
Other values (41) 1216
55.5%
Common
ValueCountFrequency (%)
( 444
34.4%
) 444
34.4%
288
22.3%
0 26
 
2.0%
1 13
 
1.0%
. 11
 
0.9%
9 10
 
0.8%
2 9
 
0.7%
- 9
 
0.7%
3 9
 
0.7%
Other values (9) 28
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6235
64.1%
ASCII 3483
35.8%
None 8
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 456
 
7.3%
스 204
 
3.3%
이 204
 
3.3%
리 156
 
2.5%
아 120
 
1.9%
지 104
 
1.7%
한 76
 
1.2%
케 73
 
1.2%
레 70
 
1.1%
국 70
 
1.1%
Other values (576) 4702
75.4%
ASCII
ValueCountFrequency (%)
( 444
 
12.7%
) 444
 
12.7%
288
 
8.3%
A 133
 
3.8%
O 118
 
3.4%
E 111
 
3.2%
I 99
 
2.8%
a 93
 
2.7%
e 90
 
2.6%
S 90
 
2.6%
Other values (60) 1573
45.2%
None
ValueCountFrequency (%)
㈜ 8
100.0%

대분류
Categorical

Distinct22
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size11.9 KiB
서비스
600 
그룹 및 기업광고
177 
유통
167 
패션
139 
컴퓨터 및 정보통신
73 
Other values (17)
352 

Length

Max length12
Median length11
Mean length5.1246684
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row가정용 전기전자
2nd row건설, 건재 및 부동산
3rd row서비스
4th row서비스
5th row서비스

Common Values

ValueCountFrequency (%)
서비스 600
39.8%
그룹 및 기업광고 177
 
11.7%
유통 167
 
11.1%
패션 139
 
9.2%
컴퓨터 및 정보통신 73
 
4.8%
금융, 보험 및 증권 58
 
3.8%
건설, 건재 및 부동산 50
 
3.3%
관공서 및 단체 46
 
3.1%
음료 및 기호식품 37
 
2.5%
가정용 전기전자 31
 
2.1%
Other values (12) 130
 
8.6%

Length

2023-12-12T10:20:45.348670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
서비스 600
22.5%
및 512
19.2%
그룹 177
 
6.6%
기업광고 177
 
6.6%
유통 167
 
6.2%
패션 139
 
5.2%
컴퓨터 73
 
2.7%
정보통신 73
 
2.7%
증권 58
 
2.2%
보험 58
 
2.2%
Other values (26) 638
23.9%

중분류
Text

Distinct97
Distinct (%)6.4%
Missing0
Missing (%)0.0%
Memory size11.9 KiB
2023-12-12T10:20:45.667612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length14
Mean length6.3222812
Min length2

Characters and Unicode

Total characters9534
Distinct characters154
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

Unique26 ?
Unique (%)1.7%

Sample

1st row주방용 전기전자
2nd row부동산 임대 및 매매
3rd row음식 및 숙박
4th row음식 및 숙박
5th row음식 및 숙박
ValueCountFrequency (%)
및 687
21.3%
음식 446
13.8%
숙박 446
13.8%
그룹광고 137
 
4.2%
소형 131
 
4.1%
소매유통 131
 
4.1%
기타 91
 
2.8%
캐주얼의류 63
 
2.0%
금융 52
 
1.6%
개인서비스 52
 
1.6%
Other values (118) 993
30.8%
2023-12-12T10:20:46.147008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1721
 
18.1%
및 687
 
7.2%
음 469
 
4.9%
식 469
 
4.9%
숙 446
 
4.7%
박 446
 
4.7%
기 297
 
3.1%
소 264
 
2.8%
통 226
 
2.4%
유 181
 
1.9%
Other values (144) 4328
45.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7624
80.0%
Space Separator 1721
 
18.1%
Other Punctuation 179
 
1.9%
Uppercase Letter 10
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
및 687
 
9.0%
음 469
 
6.2%
식 469
 
6.2%
숙 446
 
5.8%
박 446
 
5.8%
기 297
 
3.9%
소 264
 
3.5%
통 226
 
3.0%
유 181
 
2.4%
고 179
 
2.3%
Other values (139) 3960
51.9%
Other Punctuation
ValueCountFrequency (%)
, 174
97.2%
/ 5
 
2.8%
Uppercase Letter
ValueCountFrequency (%)
S 5
50.0%
W 5
50.0%
Space Separator
ValueCountFrequency (%)
1721
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7624
80.0%
Common 1900
 
19.9%
Latin 10
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
및 687
 
9.0%
음 469
 
6.2%
식 469
 
6.2%
숙 446
 
5.8%
박 446
 
5.8%
기 297
 
3.9%
소 264
 
3.5%
통 226
 
3.0%
유 181
 
2.4%
고 179
 
2.3%
Other values (139) 3960
51.9%
Common
ValueCountFrequency (%)
1721
90.6%
, 174
 
9.2%
/ 5
 
0.3%
Latin
ValueCountFrequency (%)
S 5
50.0%
W 5
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7624
80.0%
ASCII 1910
 
20.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1721
90.1%
, 174
 
9.1%
S 5
 
0.3%
/ 5
 
0.3%
W 5
 
0.3%
Hangul
ValueCountFrequency (%)
및 687
 
9.0%
음 469
 
6.2%
식 469
 
6.2%
숙 446
 
5.8%
박 446
 
5.8%
기 297
 
3.9%
소 264
 
3.5%
통 226
 
3.0%
유 181
 
2.4%
고 179
 
2.3%
Other values (139) 3960
51.9%

소분류
Text

Distinct210
Distinct (%)13.9%
Missing0
Missing (%)0.0%
Memory size11.9 KiB
2023-12-12T10:20:46.523301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length14
Mean length5.7088859
Min length1

Characters and Unicode

Total characters8609
Distinct characters275
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

Unique87 ?
Unique (%)5.8%

Sample

1st row주방용 전기전자 제품종합
2nd row상가 임대 및 매매
3rd row주점
4th row주점
5th row대중음식점
ValueCountFrequency (%)
대중음식점 295
 
12.8%
기타 219
 
9.5%
및 165
 
7.2%
그룹pr 136
 
5.9%
주점 76
 
3.3%
기업pr 71
 
3.1%
소매유통 61
 
2.7%
소형 61
 
2.7%
캐주얼웨어 55
 
2.4%
기타광고 34
 
1.5%
Other values (246) 1125
49.0%
2023-12-12T10:20:47.450727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
790
 
9.2%
점 527
 
6.1%
기 391
 
4.5%
대 365
 
4.2%
중 325
 
3.8%
식 306
 
3.6%
음 305
 
3.5%
타 265
 
3.1%
P 213
 
2.5%
R 209
 
2.4%
Other values (265) 4913
57.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7260
84.3%
Space Separator 790
 
9.2%
Uppercase Letter 452
 
5.3%
Other Punctuation 107
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 527
 
7.3%
기 391
 
5.4%
대 365
 
5.0%
중 325
 
4.5%
식 306
 
4.2%
음 305
 
4.2%
타 265
 
3.7%
및 165
 
2.3%
주 146
 
2.0%
스 146
 
2.0%
Other values (254) 4319
59.5%
Uppercase Letter
ValueCountFrequency (%)
P 213
47.1%
R 209
46.2%
V 7
 
1.5%
T 7
 
1.5%
S 6
 
1.3%
W 5
 
1.1%
C 4
 
0.9%
O 1
 
0.2%
Other Punctuation
ValueCountFrequency (%)
, 102
95.3%
/ 5
 
4.7%
Space Separator
ValueCountFrequency (%)
790
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7260
84.3%
Common 897
 
10.4%
Latin 452
 
5.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 527
 
7.3%
기 391
 
5.4%
대 365
 
5.0%
중 325
 
4.5%
식 306
 
4.2%
음 305
 
4.2%
타 265
 
3.7%
및 165
 
2.3%
주 146
 
2.0%
스 146
 
2.0%
Other values (254) 4319
59.5%
Latin
ValueCountFrequency (%)
P 213
47.1%
R 209
46.2%
V 7
 
1.5%
T 7
 
1.5%
S 6
 
1.3%
W 5
 
1.1%
C 4
 
0.9%
O 1
 
0.2%
Common
ValueCountFrequency (%)
790
88.1%
, 102
 
11.4%
/ 5
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7260
84.3%
ASCII 1349
 
15.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
790
58.6%
P 213
 
15.8%
R 209
 
15.5%
, 102
 
7.6%
V 7
 
0.5%
T 7
 
0.5%
S 6
 
0.4%
W 5
 
0.4%
/ 5
 
0.4%
C 4
 
0.3%
Hangul
ValueCountFrequency (%)
점 527
 
7.3%
기 391
 
5.4%
대 365
 
5.0%
중 325
 
4.5%
식 306
 
4.2%
음 305
 
4.2%
타 265
 
3.7%
및 165
 
2.3%
주 146
 
2.0%
스 146
 
2.0%
Other values (254) 4319
59.5%

제목
Text

MISSING 

Distinct770
Distinct (%)55.2%
Missing112
Missing (%)7.4%
Memory size11.9 KiB
2023-12-12T10:20:47.788023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length34
Mean length5.5007163
Min length1

Characters and Unicode

Total characters7679
Distinct characters605
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique633 ?
Unique (%)45.3%

Sample

1st row주방기기
2nd row상가임대
3rd row술집
4th row주점
5th row죽 전문점
ValueCountFrequency (%)
음식점 126
 
6.6%
술집 47
 
2.5%
카페 41
 
2.1%
옷가게 23
 
1.2%
홍보 21
 
1.1%
커피전문점 21
 
1.1%
의류 19
 
1.0%
전문점 19
 
1.0%
18
 
0.9%
서울시 18
 
0.9%
Other values (971) 1565
81.6%
2023-12-12T10:20:48.328156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
543
 
7.1%
점 328
 
4.3%
식 168
 
2.2%
음 138
 
1.8%
스 133
 
1.7%
전 125
 
1.6%
고 115
 
1.5%
문 113
 
1.5%
이 110
 
1.4%
광 106
 
1.4%
Other values (595) 5800
75.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6473
84.3%
Space Separator 543
 
7.1%
Uppercase Letter 315
 
4.1%
Decimal Number 194
 
2.5%
Lowercase Letter 68
 
0.9%
Other Punctuation 36
 
0.5%
Dash Punctuation 28
 
0.4%
Close Punctuation 9
 
0.1%
Open Punctuation 9
 
0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 328
 
5.1%
식 168
 
2.6%
음 138
 
2.1%
스 133
 
2.1%
전 125
 
1.9%
고 115
 
1.8%
문 113
 
1.7%
이 110
 
1.7%
광 106
 
1.6%
집 98
 
1.5%
Other values (532) 5039
77.8%
Uppercase Letter
ValueCountFrequency (%)
P 35
 
11.1%
T 29
 
9.2%
S 24
 
7.6%
G 21
 
6.7%
O 17
 
5.4%
I 17
 
5.4%
C 16
 
5.1%
E 16
 
5.1%
K 16
 
5.1%
L 15
 
4.8%
Other values (14) 109
34.6%
Lowercase Letter
ValueCountFrequency (%)
e 13
19.1%
t 7
10.3%
s 6
8.8%
n 6
8.8%
r 6
8.8%
a 4
 
5.9%
u 4
 
5.9%
b 3
 
4.4%
o 3
 
4.4%
h 3
 
4.4%
Other values (7) 13
19.1%
Decimal Number
ValueCountFrequency (%)
0 87
44.8%
2 44
22.7%
3 16
 
8.2%
5 14
 
7.2%
4 13
 
6.7%
1 10
 
5.2%
6 6
 
3.1%
8 2
 
1.0%
9 1
 
0.5%
7 1
 
0.5%
Other Punctuation
ValueCountFrequency (%)
, 23
63.9%
. 5
 
13.9%
& 4
 
11.1%
/ 2
 
5.6%
% 2
 
5.6%
Math Symbol
ValueCountFrequency (%)
+ 2
66.7%
~ 1
33.3%
Space Separator
ValueCountFrequency (%)
543
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 28
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6474
84.3%
Common 822
 
10.7%
Latin 383
 
5.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 328
 
5.1%
식 168
 
2.6%
음 138
 
2.1%
스 133
 
2.1%
전 125
 
1.9%
고 115
 
1.8%
문 113
 
1.7%
이 110
 
1.7%
광 106
 
1.6%
집 98
 
1.5%
Other values (533) 5040
77.8%
Latin
ValueCountFrequency (%)
P 35
 
9.1%
T 29
 
7.6%
S 24
 
6.3%
G 21
 
5.5%
O 17
 
4.4%
I 17
 
4.4%
C 16
 
4.2%
E 16
 
4.2%
K 16
 
4.2%
L 15
 
3.9%
Other values (31) 177
46.2%
Common
ValueCountFrequency (%)
543
66.1%
0 87
 
10.6%
2 44
 
5.4%
- 28
 
3.4%
, 23
 
2.8%
3 16
 
1.9%
5 14
 
1.7%
4 13
 
1.6%
1 10
 
1.2%
) 9
 
1.1%
Other values (11) 35
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6473
84.3%
ASCII 1205
 
15.7%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
543
45.1%
0 87
 
7.2%
2 44
 
3.7%
P 35
 
2.9%
T 29
 
2.4%
- 28
 
2.3%
S 24
 
2.0%
, 23
 
1.9%
G 21
 
1.7%
O 17
 
1.4%
Other values (52) 354
29.4%
Hangul
ValueCountFrequency (%)
점 328
 
5.1%
식 168
 
2.6%
음 138
 
2.1%
스 133
 
2.1%
전 125
 
1.9%
고 115
 
1.8%
문 113
 
1.7%
이 110
 
1.7%
광 106
 
1.6%
집 98
 
1.5%
Other values (532) 5039
77.8%
None
ValueCountFrequency (%)
㈜ 1
100.0%

내용
Text

Distinct211
Distinct (%)14.1%
Missing10
Missing (%)0.7%
Memory size11.9 KiB
2023-12-12T10:20:48.757369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length15
Mean length5.8124166
Min length2

Characters and Unicode

Total characters8707
Distinct characters256
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique101 ?
Unique (%)6.7%

Sample

1st row매장광고
2nd row플랜카드
3rd row매장광고
4th row돌출간판
5th row매장광고
ValueCountFrequency (%)
매장광고 279
 
15.2%
지하철광고 95
 
5.2%
조형물 91
 
5.0%
음식점 77
 
4.2%
의류 74
 
4.0%
문자사인 57
 
3.1%
버스광고 39
 
2.1%
채널사인_캡형 38
 
2.1%
옥상광고 36
 
2.0%
p.o.p 35
 
1.9%
Other values (216) 1017
55.3%
2023-12-12T10:20:49.308717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
광 734
 
8.4%
고 696
 
8.0%
사 472
 
5.4%
장 343
 
3.9%
342
 
3.9%
인 328
 
3.8%
_ 292
 
3.4%
매 282
 
3.2%
형 238
 
2.7%
스 169
 
1.9%
Other values (246) 4811
55.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7792
89.5%
Space Separator 342
 
3.9%
Connector Punctuation 292
 
3.4%
Uppercase Letter 185
 
2.1%
Other Punctuation 94
 
1.1%
Decimal Number 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 734
 
9.4%
고 696
 
8.9%
사 472
 
6.1%
장 343
 
4.4%
인 328
 
4.2%
매 282
 
3.6%
형 238
 
3.1%
스 169
 
2.2%
조 137
 
1.8%
판 132
 
1.7%
Other values (230) 4261
54.7%
Uppercase Letter
ValueCountFrequency (%)
P 96
51.9%
O 48
25.9%
E 12
 
6.5%
L 10
 
5.4%
D 10
 
5.4%
V 2
 
1.1%
T 2
 
1.1%
R 2
 
1.1%
X 2
 
1.1%
K 1
 
0.5%
Other Punctuation
ValueCountFrequency (%)
. 77
81.9%
, 17
 
18.1%
Decimal Number
ValueCountFrequency (%)
9 1
50.0%
5 1
50.0%
Space Separator
ValueCountFrequency (%)
342
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 292
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7792
89.5%
Common 730
 
8.4%
Latin 185
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 734
 
9.4%
고 696
 
8.9%
사 472
 
6.1%
장 343
 
4.4%
인 328
 
4.2%
매 282
 
3.6%
형 238
 
3.1%
스 169
 
2.2%
조 137
 
1.8%
판 132
 
1.7%
Other values (230) 4261
54.7%
Latin
ValueCountFrequency (%)
P 96
51.9%
O 48
25.9%
E 12
 
6.5%
L 10
 
5.4%
D 10
 
5.4%
V 2
 
1.1%
T 2
 
1.1%
R 2
 
1.1%
X 2
 
1.1%
K 1
 
0.5%
Common
ValueCountFrequency (%)
342
46.8%
_ 292
40.0%
. 77
 
10.5%
, 17
 
2.3%
9 1
 
0.1%
5 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7792
89.5%
ASCII 915
 
10.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
광 734
 
9.4%
고 696
 
8.9%
사 472
 
6.1%
장 343
 
4.4%
인 328
 
4.2%
매 282
 
3.6%
형 238
 
3.1%
스 169
 
2.2%
조 137
 
1.8%
판 132
 
1.7%
Other values (230) 4261
54.7%
ASCII
ValueCountFrequency (%)
342
37.4%
_ 292
31.9%
P 96
 
10.5%
. 77
 
8.4%
O 48
 
5.2%
, 17
 
1.9%
E 12
 
1.3%
L 10
 
1.1%
D 10
 
1.1%
V 2
 
0.2%
Other values (6) 9
 
1.0%

매체
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.9 KiB
옥외광고
1508 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row옥외광고
2nd row옥외광고
3rd row옥외광고
4th row옥외광고
5th row옥외광고

Common Values

ValueCountFrequency (%)
옥외광고 1508
100.0%

Length

2023-12-12T10:20:49.475570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:20:49.637010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
옥외광고 1508
100.0%

Correlations

2023-12-12T10:20:49.729008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대분류중분류
대분류1.0000.999
중분류0.9991.000

Missing values

2023-12-12T10:20:43.129664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T10:20:43.250495image/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.
2023-12-12T10:20:43.376402image/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

번호광고주대분류중분류소분류제목내용매체
0옥외 (001)시스템 하우젠가정용 전기전자주방용 전기전자주방용 전기전자 제품종합주방기기매장광고옥외광고
1옥외 (003)아르누보씨티건설, 건재 및 부동산부동산 임대 및 매매상가 임대 및 매매상가임대플랜카드옥외광고
2옥외 (004)MAX beer서비스음식 및 숙박주점술집매장광고옥외광고
3옥외 (007)오뎅사께서비스음식 및 숙박주점주점돌출간판옥외광고
4옥외 (010)궁 과 전서비스음식 및 숙박대중음식점죽 전문점매장광고옥외광고
5옥외 (012)프렌즈서비스음식 및 숙박대중음식점레스토랑매장광고옥외광고
6옥외 (014)바른생활서비스음식 및 숙박대중음식점카페매장광고옥외광고
7옥외 (015)화로구이서비스음식 및 숙박대중음식점음식점매장광고옥외광고
8옥외 (016)PIALTO서비스음식 및 숙박대중음식점Pub Restaurant매장광고옥외광고
9옥외 (020)가우보이서비스음식 및 숙박대중음식점숯불구이 전문점매장광고옥외광고
번호광고주대분류중분류소분류제목내용매체
1498옥외광고 2 (89)크라운출판사출판출판 기타출판 기업PR크라운출판사경기장광고옥외광고
1499옥외광고 2 (9)(주)엘지화학건설, 건재 및 부동산건재도벽 및 바닥재LG퍼스탑지하철광고옥외광고
1500옥외광고 2 (92)현진종합건설(주)건설, 건재 및 부동산건설, 건재 및 부동산 기타건설,건재 및 부동산 기업PR현진에버빌야립광고옥외광고
1501옥외광고 2 (93)(주)세계일보출판출판 기타출판 기업PR운동장 펜스광고경기장광고옥외광고
1502옥외광고 2 (94)(주)케이티앤지그룹 및 기업광고그룹광고그룹PR운동장 펜스광고경기장광고옥외광고
1503옥외광고 2 (95)피플스 제이서비스음식 및 숙박기타 프랜차이즈점피플스 제이<NA>옥외광고
1504옥외광고 2 (96)애체안경타운정밀기기 및 사무기기정밀기기 및 사무기기 기타정밀기기 및 사무기기 기업PR애체안경 콘택트입간판옥외광고
1505옥외광고 2 (97)엘지전자(주)가정용 전기전자가정용 전기전자 기타가정용 전기전자 기업PRLG하우젠야립광고옥외광고
1506옥외광고 2 (98)어머니가 차려주는 식탁서비스음식 및 숙박대중음식점어머니가 차려주는 식탁<NA>옥외광고
1507옥외광고 2 (99)가구백화점가정용품가정용품 기타가정용품 기업PRGAGU<NA>옥외광고