Overview

Dataset statistics

Number of variables12
Number of observations10000
Missing cells13646
Missing cells (%)11.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.0 MiB
Average record size in memory107.0 B

Variable types

Text8
Numeric3
Categorical1

Dataset

Description한국방송광고진흥공사 광고박물관이 소장하고 있는 분야별 광고소재의 디지털 아카이브 데이터로 영상광고 관련 항목들을 제공합니다.
Author한국방송광고진흥공사
URLhttps://www.data.go.kr/data/15044291/fileData.do

Alerts

제작년도 has 243 (2.4%) missing valuesMissing
제작월 has 6879 (68.8%) missing valuesMissing
제작프로덕션 has 6510 (65.1%) missing valuesMissing

Reproduction

Analysis started2023-12-12 11:31:38.987602
Analysis finished2023-12-12 11:31:45.532345
Duration6.54 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Text

Distinct9848
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T20:31:46.061207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16
Mean length9.9932
Min length4

Characters and Unicode

Total characters99932
Distinct characters83
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

Unique9843 ?
Unique (%)98.4%

Sample

1st rowKCU03-70
2nd rowOri_1116
3rd rowsun812
4th rowkobaco(41a)67-02
5th rowDH-L.CONF11-10
ValueCountFrequency (%)
jeil 679
 
6.2%
1981 105
 
1.0%
c 60
 
0.6%
korad 53
 
0.5%
1994 46
 
0.4%
dh-d.y 46
 
0.4%
dh-n.s 34
 
0.3%
판도라 11
 
0.1%
01-21 4
 
< 0.1%
01-11 4
 
< 0.1%
Other values (9774) 9848
90.4%
2023-12-12T20:31:46.952606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 9053
 
9.1%
0 8329
 
8.3%
1 7494
 
7.5%
2 4855
 
4.9%
3 4189
 
4.2%
O 3590
 
3.6%
4 3478
 
3.5%
5 3125
 
3.1%
6 2804
 
2.8%
7 2704
 
2.7%
Other values (73) 50311
50.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 42272
42.3%
Uppercase Letter 21367
21.4%
Lowercase Letter 20561
20.6%
Dash Punctuation 9053
 
9.1%
Connector Punctuation 1665
 
1.7%
Other Letter 1360
 
1.4%
Open Punctuation 1087
 
1.1%
Close Punctuation 1087
 
1.1%
Space Separator 890
 
0.9%
Other Punctuation 590
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
차 214
15.7%
상 181
13.3%
대 136
10.0%
광 108
 
7.9%
고 108
 
7.9%
암 73
 
5.4%
도 56
 
4.1%
라 56
 
4.1%
판 56
 
4.1%
평 56
 
4.1%
Other values (13) 316
23.2%
Uppercase Letter
ValueCountFrequency (%)
O 3590
16.8%
K 2169
10.2%
A 2159
10.1%
L 1905
8.9%
D 1879
8.8%
C 1807
8.5%
H 1251
 
5.9%
E 990
 
4.6%
I 982
 
4.6%
J 907
 
4.2%
Other values (12) 3728
17.4%
Lowercase Letter
ValueCountFrequency (%)
o 2635
12.8%
k 2489
12.1%
a 2354
11.4%
b 1977
9.6%
c 1806
8.8%
i 1570
7.6%
u 1486
7.2%
n 1349
6.6%
s 936
 
4.6%
r 924
 
4.5%
Other values (11) 3035
14.8%
Decimal Number
ValueCountFrequency (%)
0 8329
19.7%
1 7494
17.7%
2 4855
11.5%
3 4189
9.9%
4 3478
8.2%
5 3125
 
7.4%
6 2804
 
6.6%
7 2704
 
6.4%
8 2679
 
6.3%
9 2615
 
6.2%
Other Punctuation
ValueCountFrequency (%)
. 588
99.7%
& 2
 
0.3%
Dash Punctuation
ValueCountFrequency (%)
- 9053
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1665
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1087
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1087
100.0%
Space Separator
ValueCountFrequency (%)
890
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 56644
56.7%
Latin 41928
42.0%
Hangul 1360
 
1.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
O 3590
 
8.6%
o 2635
 
6.3%
k 2489
 
5.9%
a 2354
 
5.6%
K 2169
 
5.2%
A 2159
 
5.1%
b 1977
 
4.7%
L 1905
 
4.5%
D 1879
 
4.5%
C 1807
 
4.3%
Other values (33) 18964
45.2%
Hangul
ValueCountFrequency (%)
차 214
15.7%
상 181
13.3%
대 136
10.0%
광 108
 
7.9%
고 108
 
7.9%
암 73
 
5.4%
도 56
 
4.1%
라 56
 
4.1%
판 56
 
4.1%
평 56
 
4.1%
Other values (13) 316
23.2%
Common
ValueCountFrequency (%)
- 9053
16.0%
0 8329
14.7%
1 7494
13.2%
2 4855
8.6%
3 4189
7.4%
4 3478
 
6.1%
5 3125
 
5.5%
6 2804
 
5.0%
7 2704
 
4.8%
8 2679
 
4.7%
Other values (7) 7934
14.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 98572
98.6%
Hangul 1360
 
1.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 9053
 
9.2%
0 8329
 
8.4%
1 7494
 
7.6%
2 4855
 
4.9%
3 4189
 
4.2%
O 3590
 
3.6%
4 3478
 
3.5%
5 3125
 
3.2%
6 2804
 
2.8%
7 2704
 
2.7%
Other values (50) 48951
49.7%
Hangul
ValueCountFrequency (%)
차 214
15.7%
상 181
13.3%
대 136
10.0%
광 108
 
7.9%
고 108
 
7.9%
암 73
 
5.4%
도 56
 
4.1%
라 56
 
4.1%
판 56
 
4.1%
평 56
 
4.1%
Other values (13) 316
23.2%

제작년도
Real number (ℝ)

MISSING 

Distinct44
Distinct (%)0.5%
Missing243
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean1996.2927
Minimum1950
Maximum2008
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T20:31:47.264006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1950
5-th percentile1979
Q11990
median1998
Q32004
95-th percentile2007
Maximum2008
Range58
Interquartile range (IQR)14

Descriptive statistics

Standard deviation8.9329883
Coefficient of variation (CV)0.0044747888
Kurtosis0.47722245
Mean1996.2927
Median Absolute Deviation (MAD)7
Skewness-0.85936617
Sum19477828
Variance79.798279
MonotonicityNot monotonic
2023-12-12T20:31:47.548047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
2006 941
 
9.4%
2007 709
 
7.1%
2004 649
 
6.5%
2000 646
 
6.5%
2005 633
 
6.3%
2002 490
 
4.9%
1994 418
 
4.2%
1993 397
 
4.0%
1992 376
 
3.8%
1990 373
 
3.7%
Other values (34) 4125
41.2%
ValueCountFrequency (%)
1950 4
 
< 0.1%
1956 1
 
< 0.1%
1960 7
 
0.1%
1963 1
 
< 0.1%
1969 5
 
0.1%
1970 138
1.4%
1971 11
 
0.1%
1972 7
 
0.1%
1973 12
 
0.1%
1974 40
 
0.4%
ValueCountFrequency (%)
2008 9
 
0.1%
2007 709
7.1%
2006 941
9.4%
2005 633
6.3%
2004 649
6.5%
2003 209
 
2.1%
2002 490
4.9%
2001 215
 
2.1%
2000 646
6.5%
1999 259
 
2.6%

제작월
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)0.4%
Missing6879
Missing (%)68.8%
Infinite0
Infinite (%)0.0%
Mean6.4168536
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T20:31:47.799530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median6
Q39
95-th percentile12
Maximum12
Range11
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.3695789
Coefficient of variation (CV)0.52511388
Kurtosis-1.199844
Mean6.4168536
Median Absolute Deviation (MAD)3
Skewness0.047818229
Sum20027
Variance11.354062
MonotonicityNot monotonic
2023-12-12T20:31:48.020403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
3 329
 
3.3%
8 313
 
3.1%
4 304
 
3.0%
9 298
 
3.0%
5 258
 
2.6%
2 240
 
2.4%
10 237
 
2.4%
6 236
 
2.4%
12 236
 
2.4%
11 226
 
2.3%
Other values (2) 444
 
4.4%
(Missing) 6879
68.8%
ValueCountFrequency (%)
1 224
2.2%
2 240
2.4%
3 329
3.3%
4 304
3.0%
5 258
2.6%
6 236
2.4%
7 220
2.2%
8 313
3.1%
9 298
3.0%
10 237
2.4%
ValueCountFrequency (%)
12 236
2.4%
11 226
2.3%
10 237
2.4%
9 298
3.0%
8 313
3.1%
7 220
2.2%
6 236
2.4%
5 258
2.6%
4 304
3.0%
3 329
3.3%

초수
Real number (ℝ)

Distinct28
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.4093
Minimum5
Maximum280
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T20:31:48.278577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile15
Q120
median30
Q330
95-th percentile30
Maximum280
Range275
Interquartile range (IQR)10

Descriptive statistics

Standard deviation8.5909577
Coefficient of variation (CV)0.31343222
Kurtosis117.57624
Mean27.4093
Median Absolute Deviation (MAD)0
Skewness5.8931483
Sum274093
Variance73.804554
MonotonicityNot monotonic
2023-12-12T20:31:48.553803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
30 6671
66.7%
20 2100
 
21.0%
15 860
 
8.6%
60 178
 
1.8%
40 50
 
0.5%
50 44
 
0.4%
10 23
 
0.2%
25 17
 
0.2%
45 15
 
0.1%
35 7
 
0.1%
Other values (18) 35
 
0.4%
ValueCountFrequency (%)
5 4
 
< 0.1%
6 2
 
< 0.1%
10 23
 
0.2%
12 2
 
< 0.1%
13 1
 
< 0.1%
15 860
 
8.6%
20 2100
 
21.0%
23 1
 
< 0.1%
25 17
 
0.2%
30 6671
66.7%
ValueCountFrequency (%)
280 1
 
< 0.1%
200 1
 
< 0.1%
180 1
 
< 0.1%
150 2
< 0.1%
130 1
 
< 0.1%
125 1
 
< 0.1%
110 1
 
< 0.1%
100 1
 
< 0.1%
90 4
< 0.1%
80 2
< 0.1%

대분류
Categorical

Distinct21
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
식품
1982 
음료 및 기호식품
980 
화장품 및 보건용품
950 
컴퓨터 및 정보통신
834 
패션
734 
Other values (16)
4520 

Length

Max length12
Median length10
Mean length6.2816
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row음료 및 기호식품
2nd row음료 및 기호식품
3rd row패션
4th row화장품 및 보건용품
5th row식품

Common Values

ValueCountFrequency (%)
식품 1982
19.8%
음료 및 기호식품 980
9.8%
화장품 및 보건용품 950
9.5%
컴퓨터 및 정보통신 834
8.3%
패션 734
 
7.3%
가정용 전기전자 650
 
6.5%
금융, 보험 및 증권 510
 
5.1%
서비스 506
 
5.1%
그룹 및 기업광고 487
 
4.9%
제약 및 의료 409
 
4.1%
Other values (11) 1958
19.6%

Length

2023-12-12T20:31:48.885621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
및 4909
23.1%
식품 1982
 
9.3%
음료 980
 
4.6%
기호식품 980
 
4.6%
화장품 950
 
4.5%
보건용품 950
 
4.5%
컴퓨터 834
 
3.9%
정보통신 834
 
3.9%
패션 734
 
3.4%
가정용 650
 
3.1%
Other values (26) 7491
35.2%

중분류
Text

Distinct130
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T20:31:49.454468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length13
Mean length5.495
Min length2

Characters and Unicode

Total characters54950
Distinct characters182
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

Unique6 ?
Unique (%)0.1%

Sample

1st row비알콜음료
2nd row알콜음료
3rd row정장의류
4th row여성 기초화장품
5th row제과
ValueCountFrequency (%)
및 2216
 
13.4%
제과 786
 
4.8%
비알콜음료 676
 
4.1%
기타 521
 
3.2%
그룹광고 486
 
2.9%
여성 473
 
2.9%
기초화장품 424
 
2.6%
통신망 385
 
2.3%
아이스크림 315
 
1.9%
금융 293
 
1.8%
Other values (162) 9950
60.2%
2023-12-12T20:31:50.432153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6525
 
11.9%
기 2855
 
5.2%
및 2216
 
4.0%
제 1702
 
3.1%
용 1273
 
2.3%
품 1259
 
2.3%
음 1168
 
2.1%
신 1082
 
2.0%
료 1074
 
2.0%
통 1073
 
2.0%
Other values (172) 34723
63.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 47795
87.0%
Space Separator 6525
 
11.9%
Other Punctuation 578
 
1.1%
Uppercase Letter 52
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 2855
 
6.0%
및 2216
 
4.6%
제 1702
 
3.6%
용 1273
 
2.7%
품 1259
 
2.6%
음 1168
 
2.4%
신 1082
 
2.3%
료 1074
 
2.2%
통 1073
 
2.2%
류 889
 
1.9%
Other values (167) 33204
69.5%
Other Punctuation
ValueCountFrequency (%)
, 552
95.5%
/ 26
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
S 26
50.0%
W 26
50.0%
Space Separator
ValueCountFrequency (%)
6525
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 47795
87.0%
Common 7103
 
12.9%
Latin 52
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 2855
 
6.0%
및 2216
 
4.6%
제 1702
 
3.6%
용 1273
 
2.7%
품 1259
 
2.6%
음 1168
 
2.4%
신 1082
 
2.3%
료 1074
 
2.2%
통 1073
 
2.2%
류 889
 
1.9%
Other values (167) 33204
69.5%
Common
ValueCountFrequency (%)
6525
91.9%
, 552
 
7.8%
/ 26
 
0.4%
Latin
ValueCountFrequency (%)
S 26
50.0%
W 26
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 47795
87.0%
ASCII 7155
 
13.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6525
91.2%
, 552
 
7.7%
S 26
 
0.4%
/ 26
 
0.4%
W 26
 
0.4%
Hangul
ValueCountFrequency (%)
기 2855
 
6.0%
및 2216
 
4.6%
제 1702
 
3.6%
용 1273
 
2.7%
품 1259
 
2.6%
음 1168
 
2.4%
신 1082
 
2.3%
료 1074
 
2.2%
통 1073
 
2.2%
류 889
 
1.9%
Other values (167) 33204
69.5%

소분류
Text

Distinct436
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T20:31:50.953234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length14
Mean length5.8706
Min length1

Characters and Unicode

Total characters58706
Distinct characters371
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

Unique93 ?
Unique (%)0.9%

Sample

1st row믹스음료
2nd row알콜음료 제품종합
3rd row숙녀정장
4th row여성 일반기초화장품
5th row초코릿
ValueCountFrequency (%)
및 1815
 
10.9%
기업pr 632
 
3.8%
기타 569
 
3.4%
그룹pr 483
 
2.9%
여성 403
 
2.4%
일반기초화장품 386
 
2.3%
스낵 287
 
1.7%
건설,건재 260
 
1.6%
부동산 260
 
1.6%
인스턴트 237
 
1.4%
Other values (493) 11304
67.9%
2023-12-12T20:31:51.752900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6636
 
11.3%
기 2433
 
4.1%
및 1815
 
3.1%
스 1701
 
2.9%
P 1227
 
2.1%
R 1154
 
2.0%
화 980
 
1.7%
제 908
 
1.5%
용 889
 
1.5%
신 818
 
1.4%
Other values (361) 40145
68.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 48479
82.6%
Space Separator 6636
 
11.3%
Uppercase Letter 2828
 
4.8%
Other Punctuation 755
 
1.3%
Lowercase Letter 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 2433
 
5.0%
및 1815
 
3.7%
스 1701
 
3.5%
화 980
 
2.0%
제 908
 
1.9%
용 889
 
1.8%
신 818
 
1.7%
공 816
 
1.7%
장 793
 
1.6%
품 777
 
1.6%
Other values (344) 36549
75.4%
Uppercase Letter
ValueCountFrequency (%)
P 1227
43.4%
R 1154
40.8%
V 132
 
4.7%
T 131
 
4.6%
C 123
 
4.3%
S 28
 
1.0%
W 26
 
0.9%
D 3
 
0.1%
O 2
 
0.1%
U 1
 
< 0.1%
Lowercase Letter
ValueCountFrequency (%)
p 4
50.0%
c 3
37.5%
r 1
 
12.5%
Other Punctuation
ValueCountFrequency (%)
, 729
96.6%
/ 26
 
3.4%
Space Separator
ValueCountFrequency (%)
6636
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 48479
82.6%
Common 7391
 
12.6%
Latin 2836
 
4.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 2433
 
5.0%
및 1815
 
3.7%
스 1701
 
3.5%
화 980
 
2.0%
제 908
 
1.9%
용 889
 
1.8%
신 818
 
1.7%
공 816
 
1.7%
장 793
 
1.6%
품 777
 
1.6%
Other values (344) 36549
75.4%
Latin
ValueCountFrequency (%)
P 1227
43.3%
R 1154
40.7%
V 132
 
4.7%
T 131
 
4.6%
C 123
 
4.3%
S 28
 
1.0%
W 26
 
0.9%
p 4
 
0.1%
D 3
 
0.1%
c 3
 
0.1%
Other values (4) 5
 
0.2%
Common
ValueCountFrequency (%)
6636
89.8%
, 729
 
9.9%
/ 26
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 48479
82.6%
ASCII 10227
 
17.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6636
64.9%
P 1227
 
12.0%
R 1154
 
11.3%
, 729
 
7.1%
V 132
 
1.3%
T 131
 
1.3%
C 123
 
1.2%
S 28
 
0.3%
W 26
 
0.3%
/ 26
 
0.3%
Other values (7) 15
 
0.1%
Hangul
ValueCountFrequency (%)
기 2433
 
5.0%
및 1815
 
3.7%
스 1701
 
3.5%
화 980
 
2.0%
제 908
 
1.9%
용 889
 
1.8%
신 818
 
1.7%
공 816
 
1.7%
장 793
 
1.6%
품 777
 
1.6%
Other values (344) 36549
75.4%

광고주
Text

Distinct1538
Distinct (%)15.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T20:31:52.221064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length19
Mean length7.3645
Min length1

Characters and Unicode

Total characters73645
Distinct characters595
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

Unique762 ?
Unique (%)7.6%

Sample

1st row매일유업(주)
2nd row백화양조
3rd row(주)대현
4th row(주)엘지생활건강
5th row롯데제과(주)
ValueCountFrequency (%)
롯데제과(주 501
 
4.9%
삼성전자(주 330
 
3.3%
주)농심 244
 
2.4%
해태제과식품(주)서울지점 210
 
2.1%
롯데칠성음료(주 171
 
1.7%
주)오리온 166
 
1.6%
럭키 163
 
1.6%
한국방송광고공사 142
 
1.4%
주)아모레퍼시픽 139
 
1.4%
제일제당 131
 
1.3%
Other values (1557) 7953
78.4%
2023-12-12T20:31:52.913773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 7971
 
10.8%
( 7805
 
10.6%
) 7805
 
10.6%
제 1487
 
2.0%
한 1227
 
1.7%
데 1021
 
1.4%
롯 994
 
1.3%
이 989
 
1.3%
스 956
 
1.3%
리 953
 
1.3%
Other values (585) 42437
57.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 57314
77.8%
Open Punctuation 7805
 
10.6%
Close Punctuation 7805
 
10.6%
Uppercase Letter 427
 
0.6%
Space Separator 150
 
0.2%
Lowercase Letter 47
 
0.1%
Other Punctuation 36
 
< 0.1%
Decimal Number 29
 
< 0.1%
Dash Punctuation 18
 
< 0.1%
Other Symbol 14
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 7971
 
13.9%
제 1487
 
2.6%
한 1227
 
2.1%
데 1021
 
1.8%
롯 994
 
1.7%
이 989
 
1.7%
스 956
 
1.7%
리 953
 
1.7%
자 921
 
1.6%
지 919
 
1.6%
Other values (534) 39876
69.6%
Uppercase Letter
ValueCountFrequency (%)
K 82
19.2%
B 77
18.0%
I 66
15.5%
S 43
10.1%
C 39
9.1%
A 13
 
3.0%
T 12
 
2.8%
O 12
 
2.8%
D 11
 
2.6%
P 10
 
2.3%
Other values (13) 62
14.5%
Lowercase Letter
ValueCountFrequency (%)
a 6
12.8%
l 6
12.8%
k 5
10.6%
s 5
10.6%
t 4
8.5%
o 4
8.5%
e 4
8.5%
r 3
6.4%
v 2
 
4.3%
b 2
 
4.3%
Other values (5) 6
12.8%
Decimal Number
ValueCountFrequency (%)
0 8
27.6%
5 8
27.6%
2 6
20.7%
4 4
13.8%
7 3
 
10.3%
Other Punctuation
ValueCountFrequency (%)
. 14
38.9%
& 13
36.1%
, 9
25.0%
Open Punctuation
ValueCountFrequency (%)
( 7805
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7805
100.0%
Space Separator
ValueCountFrequency (%)
150
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 57328
77.8%
Common 15843
 
21.5%
Latin 474
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 7971
 
13.9%
제 1487
 
2.6%
한 1227
 
2.1%
데 1021
 
1.8%
롯 994
 
1.7%
이 989
 
1.7%
스 956
 
1.7%
리 953
 
1.7%
자 921
 
1.6%
지 919
 
1.6%
Other values (535) 39890
69.6%
Latin
ValueCountFrequency (%)
K 82
17.3%
B 77
16.2%
I 66
13.9%
S 43
 
9.1%
C 39
 
8.2%
A 13
 
2.7%
T 12
 
2.5%
O 12
 
2.5%
D 11
 
2.3%
P 10
 
2.1%
Other values (28) 109
23.0%
Common
ValueCountFrequency (%)
( 7805
49.3%
) 7805
49.3%
150
 
0.9%
- 18
 
0.1%
. 14
 
0.1%
& 13
 
0.1%
, 9
 
0.1%
0 8
 
0.1%
5 8
 
0.1%
2 6
 
< 0.1%
Other values (2) 7
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 57314
77.8%
ASCII 16317
 
22.2%
None 14
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 7971
 
13.9%
제 1487
 
2.6%
한 1227
 
2.1%
데 1021
 
1.8%
롯 994
 
1.7%
이 989
 
1.7%
스 956
 
1.7%
리 953
 
1.7%
자 921
 
1.6%
지 919
 
1.6%
Other values (534) 39876
69.6%
ASCII
ValueCountFrequency (%)
( 7805
47.8%
) 7805
47.8%
150
 
0.9%
K 82
 
0.5%
B 77
 
0.5%
I 66
 
0.4%
S 43
 
0.3%
C 39
 
0.2%
- 18
 
0.1%
. 14
 
0.1%
Other values (40) 218
 
1.3%
None
ValueCountFrequency (%)
㈜ 14
100.0%

제품
Text

Distinct5844
Distinct (%)58.5%
Missing7
Missing (%)0.1%
Memory size156.2 KiB
2023-12-12T20:31:53.444164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length25
Mean length5.3152207
Min length1

Characters and Unicode

Total characters53115
Distinct characters999
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4287 ?
Unique (%)42.9%

Sample

1st rowNUD
2nd row백화 선물셋트
3rd rowPePe
4th row환유고
5th row블랙죠+썬바
ValueCountFrequency (%)
기업pr 122
 
0.9%
삼성 103
 
0.8%
금성 85
 
0.6%
ktf 69
 
0.5%
롯데쇼핑 67
 
0.5%
코카콜라 59
 
0.5%
롯데백화점 47
 
0.4%
애니콜 43
 
0.3%
신세계 37
 
0.3%
맥심 35
 
0.3%
Other values (6408) 12421
94.9%
2023-12-12T20:31:54.250681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3101
 
5.8%
스 1795
 
3.4%
이 1383
 
2.6%
리 786
 
1.5%
라 777
 
1.5%
트 765
 
1.4%
아 709
 
1.3%
드 695
 
1.3%
기 473
 
0.9%
크 460
 
0.9%
Other values (989) 42171
79.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 43581
82.1%
Uppercase Letter 3849
 
7.2%
Space Separator 3101
 
5.8%
Decimal Number 1127
 
2.1%
Lowercase Letter 946
 
1.8%
Other Punctuation 234
 
0.4%
Dash Punctuation 112
 
0.2%
Math Symbol 112
 
0.2%
Close Punctuation 22
 
< 0.1%
Open Punctuation 22
 
< 0.1%
Other values (2) 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 1795
 
4.1%
이 1383
 
3.2%
리 786
 
1.8%
라 777
 
1.8%
트 765
 
1.8%
아 709
 
1.6%
드 695
 
1.6%
기 473
 
1.1%
크 460
 
1.1%
카 442
 
1.0%
Other values (907) 35296
81.0%
Uppercase Letter
ValueCountFrequency (%)
T 319
 
8.3%
S 278
 
7.2%
R 274
 
7.1%
P 254
 
6.6%
K 240
 
6.2%
O 216
 
5.6%
A 201
 
5.2%
C 199
 
5.2%
B 196
 
5.1%
E 176
 
4.6%
Other values (16) 1496
38.9%
Lowercase Letter
ValueCountFrequency (%)
e 136
14.4%
s 95
 
10.0%
i 85
 
9.0%
o 75
 
7.9%
a 57
 
6.0%
l 55
 
5.8%
t 53
 
5.6%
r 52
 
5.5%
u 45
 
4.8%
n 37
 
3.9%
Other values (15) 256
27.1%
Decimal Number
ValueCountFrequency (%)
0 375
33.3%
1 203
18.0%
2 140
 
12.4%
5 93
 
8.3%
3 80
 
7.1%
7 70
 
6.2%
8 58
 
5.1%
4 44
 
3.9%
6 41
 
3.6%
9 23
 
2.0%
Other Punctuation
ValueCountFrequency (%)
, 70
29.9%
. 68
29.1%
& 32
13.7%
/ 23
 
9.8%
' 21
 
9.0%
% 9
 
3.8%
" 6
 
2.6%
# 3
 
1.3%
: 2
 
0.9%
Math Symbol
ValueCountFrequency (%)
+ 110
98.2%
< 1
 
0.9%
> 1
 
0.9%
Close Punctuation
ValueCountFrequency (%)
) 21
95.5%
] 1
 
4.5%
Open Punctuation
ValueCountFrequency (%)
( 21
95.5%
[ 1
 
4.5%
Letter Number
ValueCountFrequency (%)
Ⅱ 7
87.5%
Ⅲ 1
 
12.5%
Space Separator
ValueCountFrequency (%)
3101
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 112
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 43572
82.0%
Latin 4803
 
9.0%
Common 4731
 
8.9%
Han 9
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 1795
 
4.1%
이 1383
 
3.2%
리 786
 
1.8%
라 777
 
1.8%
트 765
 
1.8%
아 709
 
1.6%
드 695
 
1.6%
기 473
 
1.1%
크 460
 
1.1%
카 442
 
1.0%
Other values (902) 35287
81.0%
Latin
ValueCountFrequency (%)
T 319
 
6.6%
S 278
 
5.8%
R 274
 
5.7%
P 254
 
5.3%
K 240
 
5.0%
O 216
 
4.5%
A 201
 
4.2%
C 199
 
4.1%
B 196
 
4.1%
E 176
 
3.7%
Other values (43) 2450
51.0%
Common
ValueCountFrequency (%)
3101
65.5%
0 375
 
7.9%
1 203
 
4.3%
2 140
 
3.0%
- 112
 
2.4%
+ 110
 
2.3%
5 93
 
2.0%
3 80
 
1.7%
, 70
 
1.5%
7 70
 
1.5%
Other values (19) 377
 
8.0%
Han
ValueCountFrequency (%)
淸 3
33.3%
國 2
22.2%
韓 2
22.2%
本 1
 
11.1%
車 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 43571
82.0%
ASCII 9526
 
17.9%
CJK 9
 
< 0.1%
Number Forms 8
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3101
32.6%
0 375
 
3.9%
T 319
 
3.3%
S 278
 
2.9%
R 274
 
2.9%
P 254
 
2.7%
K 240
 
2.5%
O 216
 
2.3%
1 203
 
2.1%
A 201
 
2.1%
Other values (70) 4065
42.7%
Hangul
ValueCountFrequency (%)
스 1795
 
4.1%
이 1383
 
3.2%
리 786
 
1.8%
라 777
 
1.8%
트 765
 
1.8%
아 709
 
1.6%
드 695
 
1.6%
기 473
 
1.1%
크 460
 
1.1%
카 442
 
1.0%
Other values (901) 35286
81.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 7
87.5%
Ⅲ 1
 
12.5%
CJK
ValueCountFrequency (%)
淸 3
33.3%
國 2
22.2%
韓 2
22.2%
本 1
 
11.1%
車 1
 
11.1%
Compat Jamo
ValueCountFrequency (%)
ㄱ 1
100.0%

제목
Text

Distinct8841
Distinct (%)88.5%
Missing7
Missing (%)0.1%
Memory size156.2 KiB
2023-12-12T20:31:54.812825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length26
Mean length7.6476534
Min length1

Characters and Unicode

Total characters76423
Distinct characters1254
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8311 ?
Unique (%)83.2%

Sample

1st row빨리경험하자
2nd row고향의 마음편
3rd row최지수편
4th row숙종의 거실
5th row심형래 DJ편
ValueCountFrequency (%)
예고편 91
 
0.5%
편 71
 
0.4%
런칭편 48
 
0.3%
탄생편 36
 
0.2%
pr편 33
 
0.2%
극장용 32
 
0.2%
런칭 29
 
0.2%
더 29
 
0.2%
사람들 22
 
0.1%
pr 22
 
0.1%
Other values (12322) 16436
97.5%
2023-12-12T20:31:55.619955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6880
 
9.0%
편 4662
 
6.1%
- 1805
 
2.4%
이 1709
 
2.2%
다 987
 
1.3%
기 841
 
1.1%
아 841
 
1.1%
자 771
 
1.0%
가 729
 
1.0%
의 724
 
0.9%
Other values (1244) 56474
73.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 64089
83.9%
Space Separator 6880
 
9.0%
Dash Punctuation 1805
 
2.4%
Other Punctuation 953
 
1.2%
Decimal Number 906
 
1.2%
Uppercase Letter 873
 
1.1%
Lowercase Letter 605
 
0.8%
Open Punctuation 131
 
0.2%
Close Punctuation 131
 
0.2%
Math Symbol 46
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
편 4662
 
7.3%
이 1709
 
2.7%
다 987
 
1.5%
기 841
 
1.3%
아 841
 
1.3%
자 771
 
1.2%
가 729
 
1.1%
의 724
 
1.1%
리 687
 
1.1%
지 681
 
1.1%
Other values (1164) 51457
80.3%
Uppercase Letter
ValueCountFrequency (%)
R 96
 
11.0%
P 96
 
11.0%
C 74
 
8.5%
O 68
 
7.8%
T 55
 
6.3%
A 52
 
6.0%
S 44
 
5.0%
D 43
 
4.9%
B 41
 
4.7%
M 34
 
3.9%
Other values (16) 270
30.9%
Lowercase Letter
ValueCountFrequency (%)
e 68
11.2%
o 60
 
9.9%
a 53
 
8.8%
i 52
 
8.6%
n 48
 
7.9%
r 46
 
7.6%
l 32
 
5.3%
s 32
 
5.3%
m 31
 
5.1%
t 26
 
4.3%
Other values (14) 157
26.0%
Other Punctuation
ValueCountFrequency (%)
/ 437
45.9%
, 358
37.6%
. 85
 
8.9%
… 21
 
2.2%
% 19
 
2.0%
& 7
 
0.7%
' 7
 
0.7%
" 6
 
0.6%
: 6
 
0.6%
# 4
 
0.4%
Decimal Number
ValueCountFrequency (%)
1 191
21.1%
0 190
21.0%
2 146
16.1%
3 89
9.8%
5 67
 
7.4%
8 64
 
7.1%
6 46
 
5.1%
4 44
 
4.9%
7 37
 
4.1%
9 32
 
3.5%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
50.0%
Ⅲ 1
25.0%
Ⅳ 1
25.0%
Math Symbol
ValueCountFrequency (%)
+ 29
63.0%
~ 17
37.0%
Space Separator
ValueCountFrequency (%)
6880
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1805
100.0%
Open Punctuation
ValueCountFrequency (%)
( 131
100.0%
Close Punctuation
ValueCountFrequency (%)
) 131
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 64076
83.8%
Common 10852
 
14.2%
Latin 1482
 
1.9%
Han 13
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
편 4662
 
7.3%
이 1709
 
2.7%
다 987
 
1.5%
기 841
 
1.3%
아 841
 
1.3%
자 771
 
1.2%
가 729
 
1.1%
의 724
 
1.1%
리 687
 
1.1%
지 681
 
1.1%
Other values (1152) 51444
80.3%
Latin
ValueCountFrequency (%)
R 96
 
6.5%
P 96
 
6.5%
C 74
 
5.0%
O 68
 
4.6%
e 68
 
4.6%
o 60
 
4.0%
T 55
 
3.7%
a 53
 
3.6%
A 52
 
3.5%
i 52
 
3.5%
Other values (43) 808
54.5%
Common
ValueCountFrequency (%)
6880
63.4%
- 1805
 
16.6%
/ 437
 
4.0%
, 358
 
3.3%
1 191
 
1.8%
0 190
 
1.8%
2 146
 
1.3%
( 131
 
1.2%
) 131
 
1.2%
3 89
 
0.8%
Other values (17) 494
 
4.6%
Han
ValueCountFrequency (%)
女 2
15.4%
本 1
7.7%
上 1
7.7%
道 1
7.7%
下 1
7.7%
水 1
7.7%
正 1
7.7%
氏 1
7.7%
鼓 1
7.7%
舞 1
7.7%
Other values (2) 2
15.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 64074
83.8%
ASCII 12309
 
16.1%
Punctuation 21
 
< 0.1%
CJK 11
 
< 0.1%
Number Forms 4
 
< 0.1%
CJK Compat Ideographs 2
 
< 0.1%
Compat Jamo 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6880
55.9%
- 1805
 
14.7%
/ 437
 
3.6%
, 358
 
2.9%
1 191
 
1.6%
0 190
 
1.5%
2 146
 
1.2%
( 131
 
1.1%
) 131
 
1.1%
R 96
 
0.8%
Other values (66) 1944
 
15.8%
Hangul
ValueCountFrequency (%)
편 4662
 
7.3%
이 1709
 
2.7%
다 987
 
1.5%
기 841
 
1.3%
아 841
 
1.3%
자 771
 
1.2%
가 729
 
1.1%
의 724
 
1.1%
리 687
 
1.1%
지 681
 
1.1%
Other values (1150) 51442
80.3%
Punctuation
ValueCountFrequency (%)
… 21
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
50.0%
Ⅲ 1
25.0%
Ⅳ 1
25.0%
CJK Compat Ideographs
ValueCountFrequency (%)
女 2
100.0%
CJK
ValueCountFrequency (%)
本 1
9.1%
上 1
9.1%
道 1
9.1%
下 1
9.1%
水 1
9.1%
正 1
9.1%
氏 1
9.1%
鼓 1
9.1%
舞 1
9.1%
男 1
9.1%
Compat Jamo
ValueCountFrequency (%)
ㅡ 1
50.0%
ㅇ 1
50.0%

대행사
Text

Distinct243
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T20:31:56.032102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length14
Mean length6.4789
Min length1

Characters and Unicode

Total characters64789
Distinct characters280
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

Unique95 ?
Unique (%)0.9%

Sample

1st row업체불명
2nd row(주)오리콤
3rd row업체불명
4th row(주)엘지애드
5th row(주)대홍기획
ValueCountFrequency (%)
업체불명 2491
24.3%
주)제일기획 1479
14.4%
주)대홍기획 1217
11.9%
주)오리콤 877
 
8.6%
주)엘지애드 809
 
7.9%
주)금강기획 393
 
3.8%
주)코래드 376
 
3.7%
주)금강오길비 254
 
2.5%
주)농심기획 175
 
1.7%
광고부 160
 
1.6%
Other values (245) 2016
19.7%
2023-12-12T20:31:57.260089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 6898
 
10.6%
( 6895
 
10.6%
) 6895
 
10.6%
기 3446
 
5.3%
획 3446
 
5.3%
업 2495
 
3.9%
불 2495
 
3.9%
체 2491
 
3.8%
명 2491
 
3.8%
제 1723
 
2.7%
Other values (270) 25514
39.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 50490
77.9%
Open Punctuation 6895
 
10.6%
Close Punctuation 6895
 
10.6%
Space Separator 247
 
0.4%
Uppercase Letter 232
 
0.4%
Decimal Number 12
 
< 0.1%
Other Punctuation 11
 
< 0.1%
Lowercase Letter 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 6898
 
13.7%
기 3446
 
6.8%
획 3446
 
6.8%
업 2495
 
4.9%
불 2495
 
4.9%
체 2491
 
4.9%
명 2491
 
4.9%
제 1723
 
3.4%
드 1567
 
3.1%
일 1526
 
3.0%
Other values (236) 21912
43.4%
Uppercase Letter
ValueCountFrequency (%)
M 56
24.1%
B 50
21.6%
C 48
20.7%
S 25
10.8%
E 10
 
4.3%
D 7
 
3.0%
X 6
 
2.6%
O 6
 
2.6%
J 4
 
1.7%
K 4
 
1.7%
Other values (10) 16
 
6.9%
Lowercase Letter
ValueCountFrequency (%)
e 2
28.6%
t 1
14.3%
r 1
14.3%
a 1
14.3%
i 1
14.3%
v 1
14.3%
Decimal Number
ValueCountFrequency (%)
2 5
41.7%
1 4
33.3%
0 3
25.0%
Other Punctuation
ValueCountFrequency (%)
& 8
72.7%
. 3
 
27.3%
Open Punctuation
ValueCountFrequency (%)
( 6895
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6895
100.0%
Space Separator
ValueCountFrequency (%)
247
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 50490
77.9%
Common 14060
 
21.7%
Latin 239
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 6898
 
13.7%
기 3446
 
6.8%
획 3446
 
6.8%
업 2495
 
4.9%
불 2495
 
4.9%
체 2491
 
4.9%
명 2491
 
4.9%
제 1723
 
3.4%
드 1567
 
3.1%
일 1526
 
3.0%
Other values (236) 21912
43.4%
Latin
ValueCountFrequency (%)
M 56
23.4%
B 50
20.9%
C 48
20.1%
S 25
10.5%
E 10
 
4.2%
D 7
 
2.9%
X 6
 
2.5%
O 6
 
2.5%
J 4
 
1.7%
K 4
 
1.7%
Other values (16) 23
9.6%
Common
ValueCountFrequency (%)
( 6895
49.0%
) 6895
49.0%
247
 
1.8%
& 8
 
0.1%
2 5
 
< 0.1%
1 4
 
< 0.1%
. 3
 
< 0.1%
0 3
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 50490
77.9%
ASCII 14299
 
22.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 6898
 
13.7%
기 3446
 
6.8%
획 3446
 
6.8%
업 2495
 
4.9%
불 2495
 
4.9%
체 2491
 
4.9%
명 2491
 
4.9%
제 1723
 
3.4%
드 1567
 
3.1%
일 1526
 
3.0%
Other values (236) 21912
43.4%
ASCII
ValueCountFrequency (%)
( 6895
48.2%
) 6895
48.2%
247
 
1.7%
M 56
 
0.4%
B 50
 
0.3%
C 48
 
0.3%
S 25
 
0.2%
E 10
 
0.1%
& 8
 
0.1%
D 7
 
< 0.1%
Other values (24) 58
 
0.4%

제작프로덕션
Text

MISSING 

Distinct462
Distinct (%)13.2%
Missing6510
Missing (%)65.1%
Memory size156.2 KiB
2023-12-12T20:31:57.679702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length14
Mean length5.2762178
Min length1

Characters and Unicode

Total characters18414
Distinct characters389
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

Unique189 ?
Unique (%)5.4%

Sample

1st row장화신은고양이
2nd row자체
3rd row밀리그램필름컴퍼니
4th row할로윈픽쳐스
5th row씨엠렌드
ValueCountFrequency (%)
대동현상소 443
 
11.1%
선우 341
 
8.6%
세종문화 99
 
2.5%
동문영상 90
 
2.3%
아프리카 80
 
2.0%
주 79
 
2.0%
픽쳐스 79
 
2.0%
프로덕션 76
 
1.9%
avc 74
 
1.9%
필름 61
 
1.5%
Other values (466) 2553
64.2%
2023-12-12T20:31:58.426568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 654
 
3.6%
동 560
 
3.0%
프 557
 
3.0%
로 547
 
3.0%
상 536
 
2.9%
우 511
 
2.8%
대 491
 
2.7%
) 490
 
2.7%
( 490
 
2.7%
주 488
 
2.7%
Other values (379) 13090
71.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15697
85.2%
Uppercase Letter 575
 
3.1%
Lowercase Letter 506
 
2.7%
Close Punctuation 490
 
2.7%
Open Punctuation 490
 
2.7%
Space Separator 485
 
2.6%
Decimal Number 143
 
0.8%
Other Punctuation 26
 
0.1%
Dash Punctuation 1
 
< 0.1%
Connector Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 654
 
4.2%
동 560
 
3.6%
프 557
 
3.5%
로 547
 
3.5%
상 536
 
3.4%
우 511
 
3.3%
대 491
 
3.1%
주 488
 
3.1%
현 445
 
2.8%
소 443
 
2.8%
Other values (316) 10465
66.7%
Uppercase Letter
ValueCountFrequency (%)
V 95
16.5%
C 88
15.3%
A 84
14.6%
P 44
7.7%
O 43
7.5%
F 35
 
6.1%
S 25
 
4.3%
B 23
 
4.0%
T 22
 
3.8%
M 21
 
3.7%
Other values (13) 95
16.5%
Lowercase Letter
ValueCountFrequency (%)
i 70
13.8%
m 54
 
10.7%
l 42
 
8.3%
o 42
 
8.3%
c 30
 
5.9%
k 27
 
5.3%
d 27
 
5.3%
e 27
 
5.3%
b 23
 
4.5%
r 22
 
4.3%
Other values (13) 142
28.1%
Decimal Number
ValueCountFrequency (%)
4 71
49.7%
6 16
 
11.2%
7 13
 
9.1%
1 12
 
8.4%
2 12
 
8.4%
0 5
 
3.5%
3 5
 
3.5%
9 4
 
2.8%
8 4
 
2.8%
5 1
 
0.7%
Other Punctuation
ValueCountFrequency (%)
& 25
96.2%
. 1
 
3.8%
Close Punctuation
ValueCountFrequency (%)
) 490
100.0%
Open Punctuation
ValueCountFrequency (%)
( 490
100.0%
Space Separator
ValueCountFrequency (%)
485
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15697
85.2%
Common 1636
 
8.9%
Latin 1081
 
5.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 654
 
4.2%
동 560
 
3.6%
프 557
 
3.5%
로 547
 
3.5%
상 536
 
3.4%
우 511
 
3.3%
대 491
 
3.1%
주 488
 
3.1%
현 445
 
2.8%
소 443
 
2.8%
Other values (316) 10465
66.7%
Latin
ValueCountFrequency (%)
V 95
 
8.8%
C 88
 
8.1%
A 84
 
7.8%
i 70
 
6.5%
m 54
 
5.0%
P 44
 
4.1%
O 43
 
4.0%
l 42
 
3.9%
o 42
 
3.9%
F 35
 
3.2%
Other values (36) 484
44.8%
Common
ValueCountFrequency (%)
) 490
30.0%
( 490
30.0%
485
29.6%
4 71
 
4.3%
& 25
 
1.5%
6 16
 
1.0%
7 13
 
0.8%
1 12
 
0.7%
2 12
 
0.7%
0 5
 
0.3%
Other values (7) 17
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15697
85.2%
ASCII 2717
 
14.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 654
 
4.2%
동 560
 
3.6%
프 557
 
3.5%
로 547
 
3.5%
상 536
 
3.4%
우 511
 
3.3%
대 491
 
3.1%
주 488
 
3.1%
현 445
 
2.8%
소 443
 
2.8%
Other values (316) 10465
66.7%
ASCII
ValueCountFrequency (%)
) 490
18.0%
( 490
18.0%
485
17.9%
V 95
 
3.5%
C 88
 
3.2%
A 84
 
3.1%
4 71
 
2.6%
i 70
 
2.6%
m 54
 
2.0%
P 44
 
1.6%
Other values (53) 746
27.5%

Interactions

2023-12-12T20:31:44.126003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:31:43.136967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:31:43.614742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:31:44.324473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:31:43.325320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:31:43.782742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:31:44.526866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:31:43.474264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:31:43.948068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T20:31:58.611295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
제작년도제작월초수대분류
제작년도1.0000.0000.2420.408
제작월0.0001.0000.0630.142
초수0.2420.0631.0000.300
대분류0.4080.1420.3001.000
2023-12-12T20:31:58.812896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
제작년도제작월초수대분류
제작년도1.000-0.041-0.2110.160
제작월-0.0411.0000.0090.053
초수-0.2110.0091.0000.105
대분류0.1600.0530.1051.000

Missing values

2023-12-12T20:31:44.769979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T20:31:45.071314image/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.
2023-12-12T20:31:45.356384image/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

번호제작년도제작월초수대분류중분류소분류광고주제품제목대행사제작프로덕션
6534KCU03-702000<NA>30음료 및 기호식품비알콜음료믹스음료매일유업(주)NUD빨리경험하자업체불명<NA>
15469Ori_11161993<NA>30음료 및 기호식품알콜음료알콜음료 제품종합백화양조백화 선물셋트고향의 마음편(주)오리콤<NA>
17161sun8121992<NA>30패션정장의류숙녀정장(주)대현PePe최지수편업체불명<NA>
8112kobaco(41a)67-022006<NA>15화장품 및 보건용품여성 기초화장품여성 일반기초화장품(주)엘지생활건강환유고숙종의 거실(주)엘지애드장화신은고양이
2467DH-L.CONF11-101989<NA>20식품제과초코릿롯데제과(주)블랙죠+썬바심형래 DJ편(주)대홍기획자체
5664KA06_3601991630식품조미향신료식용유동방유량(주)해표식용유새우튀김/부부(주)대홍기획<NA>
10710KOBACO36-112006<NA>30컴퓨터 및 정보통신통신망통신망 기타(주)엘지텔레콤LG텔레콤만남(주)엘지애드밀리그램필름컴퍼니
4391JEIL2_06-472004<NA>30컴퓨터 및 정보통신통신정보 서비스인터넷서비스네이버컴(주)한게임본부한게임기분전환을 위한 새로운 코드 G편(주)제일기획<NA>
1721DH-D.Y 04-151997930화장품 및 보건용품세제류섬유유연제동양화학공업(주)쉐리서정희편(주)대홍기획<NA>
13131LG-AD-049119861130서비스운송항공여객운송노스웨스트항공사노스웨스트노스웨스트의 세계(주)엘지애드<NA>
번호제작년도제작월초수대분류중분류소분류광고주제품제목대행사제작프로덕션
6771KCU07-702002<NA>30화장품 및 보건용품여성 기초화장품여성 일반기초화장품(주)아모레퍼시픽라네즈 오렌지선라이즈오렌지와 루즈 저울에 달기편(주)비비디오코리아매스메스에이지
7348kcu16-572004<NA>30컴퓨터 및 정보통신통신정보 서비스PC온라인서비스(주)웹이엔지코리아네이트 부루마불DOC업체불명<NA>
8657kobaco(59a)84-102006<NA>30서비스문화 및 공연영화이십세기폭스코리아(주)에라곤예고편(주)금강오길비<NA>
9265KOBACO(84a)107-172007<NA>30서비스문화 및 공연영화씨제이엔터테인먼트(주)트랜스포머예고편(주)제일기획<NA>
5015JEIL52-011991<NA>30제약 및 의료순환기관용제심장약조선무약(자)우황청심원박동진-제비 몰러 나간다편(주)제일기획<NA>
9870kobaco03-132005<NA>15출판일반용 교재일반용 학습지(주)대교솔루니당황하는 아빠(주)제일기획(주)포마토
12096kumkang02-4319891230수송기기승용자동차중형승용차현대자동차(주)엑셀첫눈(주)금강기획<NA>
3787jeil 23-411990930패션원사 및 원단신사 및 숙녀복지삼성물산(주)카운트다운마네킹편(주)제일기획<NA>
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