Overview

Dataset statistics

Number of variables27
Number of observations10000
Missing cells63605
Missing cells (%)23.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.1 MiB
Average record size in memory225.0 B

Variable types

Numeric1
Text16
Categorical7
DateTime3

Dataset

Description잡지 등 정기간행물의 진흥에 관한 법률, 신문 등의 진흥에 관한 법률에 따라 등록, 신고하는 정기간행물 현황 자료입니다.(잡지, 전자간행물, 정보간행물, 기타간행물, 신문, 인터넷 신문, 인터넷뉴스서비스)
Author문화체육관광부
URLhttps://www.data.go.kr/data/15070478/fileData.do

Alerts

복수여부 is highly imbalanced (99.6%)Imbalance
발행내용 has 208 (2.1%) missing valuesMissing
보급방법 has 6894 (68.9%) missing valuesMissing
선택지역 has 9525 (95.2%) missing valuesMissing
상세지역 has 6874 (68.7%) missing valuesMissing
보급대상 has 3220 (32.2%) missing valuesMissing
사용언어 has 8388 (83.9%) missing valuesMissing
인터넷주소 has 4702 (47.0%) missing valuesMissing
발행소명 has 5075 (50.7%) missing valuesMissing
발행소 홈페이지 has 6525 (65.2%) missing valuesMissing
인쇄소명 has 5727 (57.3%) missing valuesMissing
폐간일자 has 6396 (64.0%) missing valuesMissing
순번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 11:18:05.418389
Analysis finished2023-12-12 11:18:12.739949
Duration7.32 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44722.932
Minimum29244
Maximum60183
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T20:18:12.847595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum29244
5-th percentile30831.9
Q136963.5
median44712
Q352455.75
95-th percentile58694.4
Maximum60183
Range30939
Interquartile range (IQR)15492.25

Descriptive statistics

Standard deviation8918.8882
Coefficient of variation (CV)0.19942539
Kurtosis-1.1966722
Mean44722.932
Median Absolute Deviation (MAD)7747
Skewness0.0052326626
Sum4.4722932 × 108
Variance79546566
MonotonicityNot monotonic
2023-12-12T20:18:13.074620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
55426 1
 
< 0.1%
43282 1
 
< 0.1%
45205 1
 
< 0.1%
60024 1
 
< 0.1%
51949 1
 
< 0.1%
31022 1
 
< 0.1%
33508 1
 
< 0.1%
32516 1
 
< 0.1%
43846 1
 
< 0.1%
44187 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
29244 1
< 0.1%
29253 1
< 0.1%
29257 1
< 0.1%
29259 1
< 0.1%
29268 1
< 0.1%
29270 1
< 0.1%
29272 1
< 0.1%
29277 1
< 0.1%
29278 1
< 0.1%
29282 1
< 0.1%
ValueCountFrequency (%)
60183 1
< 0.1%
60182 1
< 0.1%
60181 1
< 0.1%
60177 1
< 0.1%
60174 1
< 0.1%
60172 1
< 0.1%
60171 1
< 0.1%
60169 1
< 0.1%
60166 1
< 0.1%
60163 1
< 0.1%

등록번호
Text

Distinct6933
Distinct (%)69.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T20:18:13.629891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length6
Mean length5.9979
Min length1

Characters and Unicode

Total characters59979
Distinct characters25
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5584 ?
Unique (%)55.8%

Sample

1st row아00407
2nd row아50189
3rd row라50170
4th row아00153
5th row아00214
ValueCountFrequency (%)
사00001 31
 
0.3%
라00006 27
 
0.3%
라00005 24
 
0.2%
라00002 24
 
0.2%
라00004 23
 
0.2%
사00002 22
 
0.2%
바00003 22
 
0.2%
바00001 21
 
0.2%
1 20
 
0.2%
사00003 20
 
0.2%
Other values (6923) 9766
97.7%
2023-12-12T20:18:14.367466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 17947
29.9%
1 5416
 
9.0%
아 5363
 
8.9%
5 5332
 
8.9%
2 4193
 
7.0%
3 3976
 
6.6%
4 3521
 
5.9%
6 2515
 
4.2%
7 2439
 
4.1%
9 2372
 
4.0%
Other values (15) 6905
 
11.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 49917
83.2%
Other Letter 10062
 
16.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
아 5363
53.3%
라 1628
 
16.2%
다 1291
 
12.8%
바 577
 
5.7%
사 388
 
3.9%
마 255
 
2.5%
자 196
 
1.9%
가 191
 
1.9%
임 79
 
0.8%
시 79
 
0.8%
Other values (5) 15
 
0.1%
Decimal Number
ValueCountFrequency (%)
0 17947
36.0%
1 5416
 
10.9%
5 5332
 
10.7%
2 4193
 
8.4%
3 3976
 
8.0%
4 3521
 
7.1%
6 2515
 
5.0%
7 2439
 
4.9%
9 2372
 
4.8%
8 2206
 
4.4%

Most occurring scripts

ValueCountFrequency (%)
Common 49917
83.2%
Hangul 10062
 
16.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
아 5363
53.3%
라 1628
 
16.2%
다 1291
 
12.8%
바 577
 
5.7%
사 388
 
3.9%
마 255
 
2.5%
자 196
 
1.9%
가 191
 
1.9%
임 79
 
0.8%
시 79
 
0.8%
Other values (5) 15
 
0.1%
Common
ValueCountFrequency (%)
0 17947
36.0%
1 5416
 
10.9%
5 5332
 
10.7%
2 4193
 
8.4%
3 3976
 
8.0%
4 3521
 
7.1%
6 2515
 
5.0%
7 2439
 
4.9%
9 2372
 
4.8%
8 2206
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 49917
83.2%
Hangul 10062
 
16.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 17947
36.0%
1 5416
 
10.9%
5 5332
 
10.7%
2 4193
 
8.4%
3 3976
 
8.0%
4 3521
 
7.1%
6 2515
 
5.0%
7 2439
 
4.9%
9 2372
 
4.8%
8 2206
 
4.4%
Hangul
ValueCountFrequency (%)
아 5363
53.3%
라 1628
 
16.2%
다 1291
 
12.8%
바 577
 
5.7%
사 388
 
3.9%
마 255
 
2.5%
자 196
 
1.9%
가 191
 
1.9%
임 79
 
0.8%
시 79
 
0.8%
Other values (5) 15
 
0.1%

제호
Text

Distinct9650
Distinct (%)96.5%
Missing1
Missing (%)< 0.1%
Memory size156.2 KiB
2023-12-12T20:18:14.930805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length49
Mean length7.6931693
Min length1

Characters and Unicode

Total characters76924
Distinct characters1088
Distinct categories14 ?
Distinct scripts6 ?
Distinct blocks11 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9319 ?
Unique (%)93.2%

Sample

1st row남도진
2nd row경기데일리
3rd rowHOTSTAR(핫스타)
4th row부산매일경제
5th row강릉뉴스
ValueCountFrequency (%)
월간 157
 
1.2%
news 105
 
0.8%
매거진 87
 
0.7%
뉴스 84
 
0.6%
the 71
 
0.5%
korea 49
 
0.4%
magazine 49
 
0.4%
신문 40
 
0.3%
times 39
 
0.3%
더 34
 
0.3%
Other values (10711) 12606
94.6%
2023-12-12T20:18:15.734463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3328
 
4.3%
스 3276
 
4.3%
문 2042
 
2.7%
뉴 1981
 
2.6%
신 1792
 
2.3%
e 1358
 
1.8%
이 1237
 
1.6%
) 991
 
1.3%
( 989
 
1.3%
리 977
 
1.3%
Other values (1078) 58953
76.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 53785
69.9%
Lowercase Letter 9146
 
11.9%
Uppercase Letter 7641
 
9.9%
Space Separator 3328
 
4.3%
Close Punctuation 993
 
1.3%
Open Punctuation 991
 
1.3%
Decimal Number 591
 
0.8%
Other Punctuation 315
 
0.4%
Dash Punctuation 89
 
0.1%
Math Symbol 31
 
< 0.1%
Other values (4) 14
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 3276
 
6.1%
문 2042
 
3.8%
뉴 1981
 
3.7%
신 1792
 
3.3%
이 1237
 
2.3%
리 977
 
1.8%
경 817
 
1.5%
한 767
 
1.4%
인 735
 
1.4%
국 687
 
1.3%
Other values (987) 39474
73.4%
Lowercase Letter
ValueCountFrequency (%)
e 1358
14.8%
a 781
 
8.5%
i 770
 
8.4%
o 758
 
8.3%
n 708
 
7.7%
s 564
 
6.2%
t 545
 
6.0%
r 525
 
5.7%
l 457
 
5.0%
c 280
 
3.1%
Other values (16) 2400
26.2%
Uppercase Letter
ValueCountFrequency (%)
E 712
 
9.3%
T 704
 
9.2%
N 556
 
7.3%
S 542
 
7.1%
A 491
 
6.4%
I 432
 
5.7%
O 416
 
5.4%
M 382
 
5.0%
C 380
 
5.0%
R 324
 
4.2%
Other values (16) 2702
35.4%
Other Punctuation
ValueCountFrequency (%)
. 82
26.0%
& 81
25.7%
' 36
11.4%
/ 33
10.5%
, 28
 
8.9%
· 23
 
7.3%
! 9
 
2.9%
" 6
 
1.9%
: 6
 
1.9%
? 4
 
1.3%
Other values (4) 7
 
2.2%
Decimal Number
ValueCountFrequency (%)
1 145
24.5%
2 112
19.0%
0 96
16.2%
3 70
11.8%
4 65
11.0%
5 39
 
6.6%
6 26
 
4.4%
9 18
 
3.0%
8 10
 
1.7%
7 10
 
1.7%
Math Symbol
ValueCountFrequency (%)
+ 23
74.2%
> 4
 
12.9%
< 4
 
12.9%
Close Punctuation
ValueCountFrequency (%)
) 991
99.8%
] 2
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 989
99.8%
[ 2
 
0.2%
Other Symbol
ValueCountFrequency (%)
♥ 2
66.7%
℃ 1
33.3%
Modifier Symbol
ValueCountFrequency (%)
` 1
50.0%
´ 1
50.0%
Space Separator
ValueCountFrequency (%)
3328
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 89
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 8
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 53491
69.5%
Latin 16787
 
21.8%
Common 6352
 
8.3%
Han 281
 
0.4%
Katakana 9
 
< 0.1%
Hiragana 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 3276
 
6.1%
문 2042
 
3.8%
뉴 1981
 
3.7%
신 1792
 
3.4%
이 1237
 
2.3%
리 977
 
1.8%
경 817
 
1.5%
한 767
 
1.4%
인 735
 
1.4%
국 687
 
1.3%
Other values (833) 39180
73.2%
Han
ValueCountFrequency (%)
人 16
 
5.7%
韓 15
 
5.3%
報 13
 
4.6%
新 11
 
3.9%
國 9
 
3.2%
文 8
 
2.8%
中 7
 
2.5%
刊 7
 
2.5%
月 5
 
1.8%
聞 5
 
1.8%
Other values (133) 185
65.8%
Latin
ValueCountFrequency (%)
e 1358
 
8.1%
a 781
 
4.7%
i 770
 
4.6%
o 758
 
4.5%
E 712
 
4.2%
n 708
 
4.2%
T 704
 
4.2%
s 564
 
3.4%
N 556
 
3.3%
t 545
 
3.2%
Other values (42) 9331
55.6%
Common
ValueCountFrequency (%)
3328
52.4%
) 991
 
15.6%
( 989
 
15.6%
1 145
 
2.3%
2 112
 
1.8%
0 96
 
1.5%
- 89
 
1.4%
. 82
 
1.3%
& 81
 
1.3%
3 70
 
1.1%
Other values (29) 369
 
5.8%
Katakana
ValueCountFrequency (%)
ン 2
22.2%
サ 1
11.1%
ブ 1
11.1%
シ 1
11.1%
ョ 1
11.1%
ウ 1
11.1%
ミ 1
11.1%
カ 1
11.1%
Hiragana
ValueCountFrequency (%)
こ 2
50.0%
ま 1
25.0%
ぃ 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 53489
69.5%
ASCII 23110
30.0%
CJK 273
 
0.4%
None 25
 
< 0.1%
Katakana 9
 
< 0.1%
CJK Compat Ideographs 8
 
< 0.1%
Hiragana 4
 
< 0.1%
Misc Symbols 2
 
< 0.1%
Compat Jamo 2
 
< 0.1%
Punctuation 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3328
 
14.4%
e 1358
 
5.9%
) 991
 
4.3%
( 989
 
4.3%
a 781
 
3.4%
i 770
 
3.3%
o 758
 
3.3%
E 712
 
3.1%
n 708
 
3.1%
T 704
 
3.0%
Other values (75) 12011
52.0%
Hangul
ValueCountFrequency (%)
스 3276
 
6.1%
문 2042
 
3.8%
뉴 1981
 
3.7%
신 1792
 
3.4%
이 1237
 
2.3%
리 977
 
1.8%
경 817
 
1.5%
한 767
 
1.4%
인 735
 
1.4%
국 687
 
1.3%
Other values (831) 39178
73.2%
None
ValueCountFrequency (%)
· 23
92.0%
＆ 1
 
4.0%
´ 1
 
4.0%
CJK
ValueCountFrequency (%)
人 16
 
5.9%
韓 15
 
5.5%
報 13
 
4.8%
新 11
 
4.0%
國 9
 
3.3%
文 8
 
2.9%
中 7
 
2.6%
刊 7
 
2.6%
月 5
 
1.8%
聞 5
 
1.8%
Other values (127) 177
64.8%
CJK Compat Ideographs
ValueCountFrequency (%)
樂 3
37.5%
女 1
 
12.5%
茶 1
 
12.5%
洛 1
 
12.5%
旅 1
 
12.5%
金 1
 
12.5%
Hiragana
ValueCountFrequency (%)
こ 2
50.0%
ま 1
25.0%
ぃ 1
25.0%
Katakana
ValueCountFrequency (%)
ン 2
22.2%
サ 1
11.1%
ブ 1
11.1%
シ 1
11.1%
ョ 1
11.1%
ウ 1
11.1%
ミ 1
11.1%
カ 1
11.1%
Misc Symbols
ValueCountFrequency (%)
♥ 2
100.0%
Punctuation
ValueCountFrequency (%)
’ 1
100.0%
Letterlike Symbols
ValueCountFrequency (%)
℃ 1
100.0%
Compat Jamo
ValueCountFrequency (%)
ㄷ 1
50.0%
ㅌ 1
50.0%

기관명
Text

Distinct202
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T20:18:16.203227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length2
Mean length2.0637
Min length2

Characters and Unicode

Total characters20637
Distinct characters122
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique39 ?
Unique (%)0.4%

Sample

1st row전남
2nd row경기
3rd row경기
4th row부산
5th row강원
ValueCountFrequency (%)
서울 3151
31.5%
경기 1415
 
14.1%
인천 281
 
2.8%
경북 266
 
2.7%
강남 266
 
2.7%
경남 244
 
2.4%
부산 227
 
2.3%
광주 207
 
2.1%
충남 196
 
2.0%
대구 187
 
1.9%
Other values (192) 3560
35.6%
2023-12-12T20:18:16.978415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
서 3637
17.6%
울 3400
16.5%
경 1941
 
9.4%
기 1420
 
6.9%
남 1012
 
4.9%
전 526
 
2.5%
북 524
 
2.5%
천 518
 
2.5%
대 512
 
2.5%
산 495
 
2.4%
Other values (112) 6652
32.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 20637
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 3637
17.6%
울 3400
16.5%
경 1941
 
9.4%
기 1420
 
6.9%
남 1012
 
4.9%
전 526
 
2.5%
북 524
 
2.5%
천 518
 
2.5%
대 512
 
2.5%
산 495
 
2.4%
Other values (112) 6652
32.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 20637
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 3637
17.6%
울 3400
16.5%
경 1941
 
9.4%
기 1420
 
6.9%
남 1012
 
4.9%
전 526
 
2.5%
북 524
 
2.5%
천 518
 
2.5%
대 512
 
2.5%
산 495
 
2.4%
Other values (112) 6652
32.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 20637
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
서 3637
17.6%
울 3400
16.5%
경 1941
 
9.4%
기 1420
 
6.9%
남 1012
 
4.9%
전 526
 
2.5%
북 524
 
2.5%
천 518
 
2.5%
대 512
 
2.5%
산 495
 
2.4%
Other values (112) 6652
32.2%

상태
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
등록
6380 
폐간
3602 
가등록
 
18

Length

Max length3
Median length2
Mean length2.0018
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row폐간
2nd row등록
3rd row폐간
4th row폐간
5th row등록

Common Values

ValueCountFrequency (%)
등록 6380
63.8%
폐간 3602
36.0%
가등록 18
 
0.2%

Length

2023-12-12T20:18:17.221455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:18:17.398998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
등록 6380
63.8%
폐간 3602
36.0%
가등록 18
 
0.2%

종별
Categorical

Distinct11
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
인터넷신문
5384 
잡지
1772 
정보간행물
753 
특수주간신문
680 
일반주간신문
 
505
Other values (6)
906 

Length

Max length8
Median length5
Mean length4.6566
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인터넷신문 5384
53.8%
잡지 1772
 
17.7%
정보간행물 753
 
7.5%
특수주간신문 680
 
6.8%
일반주간신문 505
 
5.1%
기타간행물 468
 
4.7%
인터넷뉴스서비스 195
 
1.9%
전자간행물 107
 
1.1%
일반일간신문 103
 
1.0%
특수일간신문 21
 
0.2%

Length

2023-12-12T20:18:17.596722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
인터넷신문 5384
53.8%
잡지 1772
 
17.7%
정보간행물 753
 
7.5%
특수주간신문 680
 
6.8%
일반주간신문 505
 
5.1%
기타간행물 468
 
4.7%
인터넷뉴스서비스 195
 
1.9%
전자간행물 107
 
1.1%
일반일간신문 103
 
1.0%
특수일간신문 21
 
0.2%

간별
Categorical

Distinct16
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
인터넷신문
5386 
월간
1666 
주간
1208 
계간
584 
연2회간
 
392
Other values (11)
764 

Length

Max length8
Median length5
Mean length3.8427
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row인터넷신문
2nd row인터넷신문
3rd row월간
4th row인터넷신문
5th row인터넷신문

Common Values

ValueCountFrequency (%)
인터넷신문 5386
53.9%
월간 1666
 
16.7%
주간 1208
 
12.1%
계간 584
 
5.8%
연2회간 392
 
3.9%
격월간 264
 
2.6%
일간 190
 
1.9%
인터넷뉴스서비스 164
 
1.6%
격주간 43
 
0.4%
기타주간 34
 
0.3%
Other values (6) 69
 
0.7%

Length

2023-12-12T20:18:17.807023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
인터넷신문 5386
53.9%
월간 1666
 
16.7%
주간 1208
 
12.1%
계간 584
 
5.8%
연2회간 392
 
3.9%
격월간 264
 
2.6%
일간 190
 
1.9%
인터넷뉴스서비스 164
 
1.6%
격주간 43
 
0.4%
기타주간 34
 
0.3%
Other values (6) 69
 
0.7%

성격
Text

Distinct311
Distinct (%)3.1%
Missing7
Missing (%)0.1%
Memory size156.2 KiB
2023-12-12T20:18:18.230862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length2
Mean length2.5261683
Min length1

Characters and Unicode

Total characters25244
Distinct characters236
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

Unique80 ?
Unique (%)0.8%

Sample

1st row총류
2nd row신문
3rd row연예정보
4th row총류
5th row종합지
ValueCountFrequency (%)
총류 5446
54.5%
신문 501
 
5.0%
기타 319
 
3.2%
지역지 233
 
2.3%
종합지 195
 
2.0%
사회과학 186
 
1.9%
교양종합 140
 
1.4%
생활정보 131
 
1.3%
종교 120
 
1.2%
기독교 116
 
1.2%
Other values (301) 2606
26.1%
2023-12-12T20:18:19.319613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
류 5447
21.6%
총 5446
21.6%
지 954
 
3.8%
문 817
 
3.2%
교 664
 
2.6%
기 648
 
2.6%
종 588
 
2.3%
신 546
 
2.2%
학 517
 
2.0%
합 463
 
1.8%
Other values (226) 9154
36.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24906
98.7%
Other Punctuation 274
 
1.1%
Open Punctuation 26
 
0.1%
Close Punctuation 26
 
0.1%
Uppercase Letter 12
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
류 5447
21.9%
총 5446
21.9%
지 954
 
3.8%
문 817
 
3.3%
교 664
 
2.7%
기 648
 
2.6%
종 588
 
2.4%
신 546
 
2.2%
학 517
 
2.1%
합 463
 
1.9%
Other values (218) 8816
35.4%
Uppercase Letter
ValueCountFrequency (%)
V 3
25.0%
C 3
25.0%
T 3
25.0%
D 3
25.0%
Other Punctuation
ValueCountFrequency (%)
, 250
91.2%
. 24
 
8.8%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24906
98.7%
Common 326
 
1.3%
Latin 12
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
류 5447
21.9%
총 5446
21.9%
지 954
 
3.8%
문 817
 
3.3%
교 664
 
2.7%
기 648
 
2.6%
종 588
 
2.4%
신 546
 
2.2%
학 517
 
2.1%
합 463
 
1.9%
Other values (218) 8816
35.4%
Common
ValueCountFrequency (%)
, 250
76.7%
( 26
 
8.0%
) 26
 
8.0%
. 24
 
7.4%
Latin
ValueCountFrequency (%)
V 3
25.0%
C 3
25.0%
T 3
25.0%
D 3
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24906
98.7%
ASCII 338
 
1.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
류 5447
21.9%
총 5446
21.9%
지 954
 
3.8%
문 817
 
3.3%
교 664
 
2.7%
기 648
 
2.6%
종 588
 
2.4%
신 546
 
2.2%
학 517
 
2.1%
합 463
 
1.9%
Other values (218) 8816
35.4%
ASCII
ValueCountFrequency (%)
, 250
74.0%
( 26
 
7.7%
) 26
 
7.7%
. 24
 
7.1%
V 3
 
0.9%
C 3
 
0.9%
T 3
 
0.9%
D 3
 
0.9%

유형
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
법인
4956 
개인
4841 
단체
 
203

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row법인
2nd row법인
3rd row개인
4th row개인
5th row개인

Common Values

ValueCountFrequency (%)
법인 4956
49.6%
개인 4841
48.4%
단체 203
 
2.0%

Length

2023-12-12T20:18:19.544207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:18:19.719750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
법인 4956
49.6%
개인 4841
48.4%
단체 203
 
2.0%

발행목적
Text

Distinct9185
Distinct (%)92.1%
Missing27
Missing (%)0.3%
Memory size156.2 KiB
2023-12-12T20:18:20.184203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length344
Median length172
Mean length51.072095
Min length1

Characters and Unicode

Total characters509342
Distinct characters1087
Distinct categories17 ?
Distinct scripts4 ?
Distinct blocks11 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8898 ?
Unique (%)89.2%

Sample

1st row남도의 멋과 맛을 알리기 위함
2nd row인터넷 시대에 공정보도와 비평을 통한 바른 여론형성 및 중소기업육성과 전통문화 창달에 이바지함
3rd row초,중,고생 대상으로 현시대에 맞는 대중매체와 유익한 정보를 알려주고자함.
4th row정부의 경제정책 및 행정기관의 생활경제 정보를 부산시민을 비롯한 독자들에게 알리고, 지역경제 활성화에 기여코자 함.
5th row지역 사회 현안과 의제에 관한 객관적인 사실과 의견에 대한 공정한 보도
ValueCountFrequency (%)
및 3708
 
3.1%
함 2132
 
1.8%
문화 1571
 
1.3%
정보를 1468
 
1.2%
등 1446
 
1.2%
제공 1392
 
1.1%
경제 1367
 
1.1%
정보 1298
 
1.1%
사회 1143
 
0.9%
위한 901
 
0.7%
Other values (25007) 104973
86.5%
2023-12-12T20:18:20.962295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
111377
 
21.9%
, 14982
 
2.9%
정 9695
 
1.9%
의 9187
 
1.8%
보 8576
 
1.7%
한 8222
 
1.6%
하 8110
 
1.6%
을 7784
 
1.5%
제 7564
 
1.5%
에 7456
 
1.5%
Other values (1077) 316389
62.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 372892
73.2%
Space Separator 111377
 
21.9%
Other Punctuation 18553
 
3.6%
Uppercase Letter 1571
 
0.3%
Decimal Number 1464
 
0.3%
Lowercase Letter 1075
 
0.2%
Close Punctuation 944
 
0.2%
Open Punctuation 936
 
0.2%
Control 317
 
0.1%
Dash Punctuation 107
 
< 0.1%
Other values (7) 106
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
정 9695
 
2.6%
의 9187
 
2.5%
보 8576
 
2.3%
한 8222
 
2.2%
하 8110
 
2.2%
을 7784
 
2.1%
제 7564
 
2.0%
에 7456
 
2.0%
사 6228
 
1.7%
전 6028
 
1.6%
Other values (970) 294042
78.9%
Uppercase Letter
ValueCountFrequency (%)
I 218
13.9%
T 209
13.3%
C 179
11.4%
S 100
 
6.4%
N 93
 
5.9%
D 92
 
5.9%
O 84
 
5.3%
E 82
 
5.2%
P 67
 
4.3%
A 54
 
3.4%
Other values (16) 393
25.0%
Lowercase Letter
ValueCountFrequency (%)
e 142
13.2%
i 99
 
9.2%
t 84
 
7.8%
x 78
 
7.3%
n 77
 
7.2%
a 69
 
6.4%
o 62
 
5.8%
l 57
 
5.3%
c 47
 
4.4%
r 46
 
4.3%
Other values (16) 314
29.2%
Other Punctuation
ValueCountFrequency (%)
, 14982
80.8%
. 2423
 
13.1%
' 447
 
2.4%
· 286
 
1.5%
/ 189
 
1.0%
& 50
 
0.3%
: 47
 
0.3%
? 46
 
0.2%
" 36
 
0.2%
# 12
 
0.1%
Other values (7) 35
 
0.2%
Decimal Number
ValueCountFrequency (%)
2 306
20.9%
0 282
19.3%
1 235
16.1%
4 201
13.7%
3 108
 
7.4%
5 107
 
7.3%
9 67
 
4.6%
8 67
 
4.6%
7 64
 
4.4%
6 27
 
1.8%
Math Symbol
ValueCountFrequency (%)
~ 32
43.2%
< 17
23.0%
> 17
23.0%
+ 6
 
8.1%
× 2
 
2.7%
Close Punctuation
ValueCountFrequency (%)
) 896
94.9%
」 35
 
3.7%
] 12
 
1.3%
』 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 886
94.7%
「 35
 
3.7%
[ 14
 
1.5%
『 1
 
0.1%
Other Number
ValueCountFrequency (%)
① 2
33.3%
② 2
33.3%
③ 1
16.7%
④ 1
16.7%
Final Punctuation
ValueCountFrequency (%)
’ 7
87.5%
” 1
 
12.5%
Initial Punctuation
ValueCountFrequency (%)
‘ 7
87.5%
“ 1
 
12.5%
Other Symbol
ValueCountFrequency (%)
● 4
80.0%
㎜ 1
 
20.0%
Space Separator
ValueCountFrequency (%)
111377
100.0%
Control
ValueCountFrequency (%)
317
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 107
100.0%
Modifier Symbol
ValueCountFrequency (%)
˙ 4
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 372783
73.2%
Common 133804
 
26.3%
Latin 2646
 
0.5%
Han 109
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
정 9695
 
2.6%
의 9187
 
2.5%
보 8576
 
2.3%
한 8222
 
2.2%
하 8110
 
2.2%
을 7784
 
2.1%
제 7564
 
2.0%
에 7456
 
2.0%
사 6228
 
1.7%
전 6028
 
1.6%
Other values (908) 293933
78.8%
Han
ValueCountFrequency (%)
筆 12
 
11.0%
直 7
 
6.4%
正 7
 
6.4%
論 5
 
4.6%
曲 5
 
4.6%
紙 5
 
4.6%
道 3
 
2.8%
君 2
 
1.8%
安 2
 
1.8%
門 2
 
1.8%
Other values (52) 59
54.1%
Common
ValueCountFrequency (%)
111377
83.2%
, 14982
 
11.2%
. 2423
 
1.8%
) 896
 
0.7%
( 886
 
0.7%
' 447
 
0.3%
317
 
0.2%
2 306
 
0.2%
· 286
 
0.2%
0 282
 
0.2%
Other values (45) 1602
 
1.2%
Latin
ValueCountFrequency (%)
I 218
 
8.2%
T 209
 
7.9%
C 179
 
6.8%
e 142
 
5.4%
S 100
 
3.8%
i 99
 
3.7%
N 93
 
3.5%
D 92
 
3.5%
O 84
 
3.2%
t 84
 
3.2%
Other values (42) 1346
50.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 372759
73.2%
ASCII 136053
 
26.7%
None 364
 
0.1%
CJK 105
 
< 0.1%
Compat Jamo 24
 
< 0.1%
Punctuation 18
 
< 0.1%
Enclosed Alphanum 6
 
< 0.1%
Geometric Shapes 4
 
< 0.1%
Modifier Letters 4
 
< 0.1%
CJK Compat Ideographs 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
111377
81.9%
, 14982
 
11.0%
. 2423
 
1.8%
) 896
 
0.7%
( 886
 
0.7%
' 447
 
0.3%
317
 
0.2%
2 306
 
0.2%
0 282
 
0.2%
1 235
 
0.2%
Other values (77) 3902
 
2.9%
Hangul
ValueCountFrequency (%)
정 9695
 
2.6%
의 9187
 
2.5%
보 8576
 
2.3%
한 8222
 
2.2%
하 8110
 
2.2%
을 7784
 
2.1%
제 7564
 
2.0%
에 7456
 
2.0%
사 6228
 
1.7%
전 6028
 
1.6%
Other values (898) 293909
78.8%
None
ValueCountFrequency (%)
· 286
78.6%
」 35
 
9.6%
「 35
 
9.6%
。 3
 
0.8%
× 2
 
0.5%
． 1
 
0.3%
『 1
 
0.3%
』 1
 
0.3%
CJK
ValueCountFrequency (%)
筆 12
 
11.4%
直 7
 
6.7%
正 7
 
6.7%
論 5
 
4.8%
曲 5
 
4.8%
紙 5
 
4.8%
道 3
 
2.9%
君 2
 
1.9%
安 2
 
1.9%
門 2
 
1.9%
Other values (48) 55
52.4%
Compat Jamo
ValueCountFrequency (%)
ㆍ 7
29.2%
ㅇ 7
29.2%
ㅓ 2
 
8.3%
ㅡ 2
 
8.3%
ㅅ 1
 
4.2%
ㄷ 1
 
4.2%
ㅚ 1
 
4.2%
ㄴ 1
 
4.2%
ㄹ 1
 
4.2%
ㅗ 1
 
4.2%
Punctuation
ValueCountFrequency (%)
’ 7
38.9%
‘ 7
38.9%
… 2
 
11.1%
“ 1
 
5.6%
” 1
 
5.6%
Geometric Shapes
ValueCountFrequency (%)
● 4
100.0%
Modifier Letters
ValueCountFrequency (%)
˙ 4
100.0%
Enclosed Alphanum
ValueCountFrequency (%)
① 2
33.3%
② 2
33.3%
③ 1
16.7%
④ 1
16.7%
CJK Compat Ideographs
ValueCountFrequency (%)
不 1
25.0%
切 1
25.0%
論 1
25.0%
茶 1
25.0%
CJK Compat
ValueCountFrequency (%)
㎜ 1
100.0%

발행내용
Text

MISSING 

Distinct6325
Distinct (%)64.6%
Missing208
Missing (%)2.1%
Memory size156.2 KiB
2023-12-12T20:18:21.497866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length307
Median length140
Mean length31.273489
Min length1

Characters and Unicode

Total characters306230
Distinct characters898
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks10 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5944 ?
Unique (%)60.7%

Sample

1st row남도의 문화.섬.관광.여행 및 남도소식에 관한 내용
2nd row상기 목적에 부합하는 내용만을 게재,배포함
3rd row상기 발행목적에 부합되는 내용만을 80면이상 140면이내로 게재,인쇄,제책<BR/>하여 유가로 배포함
4th row부동산, 유통, 금융 등 생활경제와 지역경제 분야에 대한 양질의 정보제공.
5th row시사,정치,사회,교양,문화 등 사회전반에 대한 기사 및 소식 제공
ValueCountFrequency (%)
상기 5051
 
7.0%
부합되는 4035
 
5.6%
발행목적에 3866
 
5.4%
내용만을 2866
 
4.0%
게재함 2122
 
3.0%
게재 1689
 
2.3%
내용을 1301
 
1.8%
발행 1289
 
1.8%
및 1182
 
1.6%
등 1161
 
1.6%
Other values (11384) 47312
65.8%
2023-12-12T20:18:22.232579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
62246
 
20.3%
, 9853
 
3.2%
내 7845
 
2.6%
상 7038
 
2.3%
기 6721
 
2.2%
에 6476
 
2.1%
행 6169
 
2.0%
발 6003
 
2.0%
용 5939
 
1.9%
적 5691
 
1.9%
Other values (888) 182249
59.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 214872
70.2%
Space Separator 62246
 
20.3%
Other Punctuation 12379
 
4.0%
Decimal Number 12265
 
4.0%
Lowercase Letter 1323
 
0.4%
Uppercase Letter 817
 
0.3%
Close Punctuation 776
 
0.3%
Open Punctuation 768
 
0.3%
Math Symbol 493
 
0.2%
Control 149
 
< 0.1%
Other values (2) 142
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
내 7845
 
3.7%
상 7038
 
3.3%
기 6721
 
3.1%
에 6476
 
3.0%
행 6169
 
2.9%
발 6003
 
2.8%
용 5939
 
2.8%
적 5691
 
2.6%
는 5577
 
2.6%
부 5446
 
2.5%
Other values (788) 151967
70.7%
Lowercase Letter
ValueCountFrequency (%)
m 307
23.2%
p 182
13.8%
e 144
10.9%
a 115
 
8.7%
x 113
 
8.5%
g 89
 
6.7%
t 44
 
3.3%
o 41
 
3.1%
s 39
 
2.9%
c 35
 
2.6%
Other values (16) 214
16.2%
Uppercase Letter
ValueCountFrequency (%)
P 101
12.4%
A 93
11.4%
C 62
 
7.6%
B 60
 
7.3%
X 60
 
7.3%
I 58
 
7.1%
T 54
 
6.6%
R 46
 
5.6%
S 42
 
5.1%
E 41
 
5.0%
Other values (16) 200
24.5%
Other Punctuation
ValueCountFrequency (%)
, 9853
79.6%
. 1363
 
11.0%
/ 311
 
2.5%
: 298
 
2.4%
* 266
 
2.1%
· 139
 
1.1%
& 37
 
0.3%
' 35
 
0.3%
※ 25
 
0.2%
? 21
 
0.2%
Other values (7) 31
 
0.3%
Decimal Number
ValueCountFrequency (%)
0 3089
25.2%
2 2074
16.9%
1 1865
15.2%
4 1149
 
9.4%
6 924
 
7.5%
5 924
 
7.5%
8 826
 
6.7%
3 712
 
5.8%
7 435
 
3.5%
9 267
 
2.2%
Math Symbol
ValueCountFrequency (%)
~ 293
59.4%
× 122
24.7%
> 35
 
7.1%
< 35
 
7.1%
+ 4
 
0.8%
⊙ 2
 
0.4%
～ 1
 
0.2%
∼ 1
 
0.2%
Other Symbol
ValueCountFrequency (%)
㎜ 17
70.8%
㎝ 3
 
12.5%
● 3
 
12.5%
○ 1
 
4.2%
Close Punctuation
ValueCountFrequency (%)
) 772
99.5%
] 3
 
0.4%
』 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 762
99.2%
[ 5
 
0.7%
『 1
 
0.1%
Space Separator
ValueCountFrequency (%)
62246
100.0%
Control
ValueCountFrequency (%)
149
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 118
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 214843
70.2%
Common 89218
29.1%
Latin 2140
 
0.7%
Han 29
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
내 7845
 
3.7%
상 7038
 
3.3%
기 6721
 
3.1%
에 6476
 
3.0%
행 6169
 
2.9%
발 6003
 
2.8%
용 5939
 
2.8%
적 5691
 
2.6%
는 5577
 
2.6%
부 5446
 
2.5%
Other values (766) 151938
70.7%
Latin
ValueCountFrequency (%)
m 307
 
14.3%
p 182
 
8.5%
e 144
 
6.7%
a 115
 
5.4%
x 113
 
5.3%
P 101
 
4.7%
A 93
 
4.3%
g 89
 
4.2%
C 62
 
2.9%
B 60
 
2.8%
Other values (42) 874
40.8%
Common
ValueCountFrequency (%)
62246
69.8%
, 9853
 
11.0%
0 3089
 
3.5%
2 2074
 
2.3%
1 1865
 
2.1%
. 1363
 
1.5%
4 1149
 
1.3%
6 924
 
1.0%
5 924
 
1.0%
8 826
 
0.9%
Other values (38) 4905
 
5.5%
Han
ValueCountFrequency (%)
談 5
17.2%
仙 3
 
10.3%
部 2
 
6.9%
史 1
 
3.4%
土 1
 
3.4%
民 1
 
3.4%
統 1
 
3.4%
雜 1
 
3.4%
人 1
 
3.4%
士 1
 
3.4%
Other values (12) 12
41.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 214811
70.1%
ASCII 91039
29.7%
None 267
 
0.1%
Compat Jamo 32
 
< 0.1%
CJK 28
 
< 0.1%
Punctuation 25
 
< 0.1%
CJK Compat 20
 
< 0.1%
Geometric Shapes 4
 
< 0.1%
Math Operators 3
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
62246
68.4%
, 9853
 
10.8%
0 3089
 
3.4%
2 2074
 
2.3%
1 1865
 
2.0%
. 1363
 
1.5%
4 1149
 
1.3%
6 924
 
1.0%
5 924
 
1.0%
8 826
 
0.9%
Other values (75) 6726
 
7.4%
Hangul
ValueCountFrequency (%)
내 7845
 
3.7%
상 7038
 
3.3%
기 6721
 
3.1%
에 6476
 
3.0%
행 6169
 
2.9%
발 6003
 
2.8%
용 5939
 
2.8%
적 5691
 
2.6%
는 5577
 
2.6%
부 5446
 
2.5%
Other values (758) 151906
70.7%
None
ValueCountFrequency (%)
· 139
52.1%
× 122
45.7%
． 1
 
0.4%
＊ 1
 
0.4%
ｘ 1
 
0.4%
～ 1
 
0.4%
』 1
 
0.4%
『 1
 
0.4%
Punctuation
ValueCountFrequency (%)
※ 25
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 23
71.9%
ㅇ 2
 
6.2%
ㅏ 2
 
6.2%
ㅐ 1
 
3.1%
ㅓ 1
 
3.1%
ㄴ 1
 
3.1%
ㄹ 1
 
3.1%
ㅣ 1
 
3.1%
CJK Compat
ValueCountFrequency (%)
㎜ 17
85.0%
㎝ 3
 
15.0%
CJK
ValueCountFrequency (%)
談 5
17.9%
仙 3
 
10.7%
部 2
 
7.1%
史 1
 
3.6%
土 1
 
3.6%
民 1
 
3.6%
統 1
 
3.6%
雜 1
 
3.6%
人 1
 
3.6%
士 1
 
3.6%
Other values (11) 11
39.3%
Geometric Shapes
ValueCountFrequency (%)
● 3
75.0%
○ 1
 
25.0%
Math Operators
ValueCountFrequency (%)
⊙ 2
66.7%
∼ 1
33.3%
CJK Compat Ideographs
ValueCountFrequency (%)
六 1
100.0%

보급방법
Text

MISSING 

Distinct241
Distinct (%)7.8%
Missing6894
Missing (%)68.9%
Memory size156.2 KiB
2023-12-12T20:18:22.521750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length3
Mean length3.3676755
Min length1

Characters and Unicode

Total characters10460
Distinct characters154
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique163 ?
Unique (%)5.2%

Sample

1st row온라인
2nd row인터텟
3rd row인터넷
4th row인터넷
5th row인터넷
ValueCountFrequency (%)
인터넷 2155
59.3%
우편 308
 
8.5%
배포 155
 
4.3%
및 134
 
3.7%
직배 73
 
2.0%
서점 58
 
1.6%
우송 55
 
1.5%
온라인 51
 
1.4%
일반 43
 
1.2%
우편발송 43
 
1.2%
Other values (173) 557
 
15.3%
2023-12-12T20:18:23.039015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
인 2261
21.6%
터 2172
20.8%
넷 2169
20.7%
526
 
5.0%
우 452
 
4.3%
편 424
 
4.1%
배 345
 
3.3%
직 177
 
1.7%
포 172
 
1.6%
송 142
 
1.4%
Other values (144) 1620
15.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9807
93.8%
Space Separator 526
 
5.0%
Other Punctuation 113
 
1.1%
Uppercase Letter 6
 
0.1%
Open Punctuation 4
 
< 0.1%
Close Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 2261
23.1%
터 2172
22.1%
넷 2169
22.1%
우 452
 
4.6%
편 424
 
4.3%
배 345
 
3.5%
직 177
 
1.8%
포 172
 
1.8%
송 142
 
1.4%
및 136
 
1.4%
Other values (137) 1357
13.8%
Other Punctuation
ValueCountFrequency (%)
, 110
97.3%
/ 3
 
2.7%
Uppercase Letter
ValueCountFrequency (%)
D 3
50.0%
M 3
50.0%
Space Separator
ValueCountFrequency (%)
526
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9807
93.8%
Common 647
 
6.2%
Latin 6
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 2261
23.1%
터 2172
22.1%
넷 2169
22.1%
우 452
 
4.6%
편 424
 
4.3%
배 345
 
3.5%
직 177
 
1.8%
포 172
 
1.8%
송 142
 
1.4%
및 136
 
1.4%
Other values (137) 1357
13.8%
Common
ValueCountFrequency (%)
526
81.3%
, 110
 
17.0%
( 4
 
0.6%
) 4
 
0.6%
/ 3
 
0.5%
Latin
ValueCountFrequency (%)
D 3
50.0%
M 3
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9802
93.7%
ASCII 653
 
6.2%
Compat Jamo 5
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
인 2261
23.1%
터 2172
22.2%
넷 2169
22.1%
우 452
 
4.6%
편 424
 
4.3%
배 345
 
3.5%
직 177
 
1.8%
포 172
 
1.8%
송 142
 
1.4%
및 136
 
1.4%
Other values (135) 1352
13.8%
ASCII
ValueCountFrequency (%)
526
80.6%
, 110
 
16.8%
( 4
 
0.6%
) 4
 
0.6%
D 3
 
0.5%
/ 3
 
0.5%
M 3
 
0.5%
Compat Jamo
ValueCountFrequency (%)
ㅎ 3
60.0%
ㅇ 2
40.0%

보급지역
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
전국
7311 
<NA>
1567 
지역
1122 

Length

Max length4
Median length2
Mean length2.3134
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row전국
2nd row전국
3rd row전국
4th row<NA>
5th row전국

Common Values

ValueCountFrequency (%)
전국 7311
73.1%
<NA> 1567
 
15.7%
지역 1122
 
11.2%

Length

2023-12-12T20:18:23.224490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:18:23.379342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전국 7311
73.1%
na 1567
 
15.7%
지역 1122
 
11.2%

선택지역
Text

MISSING 

Distinct56
Distinct (%)11.8%
Missing9525
Missing (%)95.2%
Memory size156.2 KiB
2023-12-12T20:18:23.658383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length2
Mean length2.8715789
Min length2

Characters and Unicode

Total characters1364
Distinct characters22
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)4.4%

Sample

1st row전남
2nd row부산
3rd row전남
4th row경북
5th row경남
ValueCountFrequency (%)
경기 78
16.4%
경남 44
 
9.3%
서울 38
 
8.0%
인천 30
 
6.3%
경북 28
 
5.9%
전남 28
 
5.9%
강원 28
 
5.9%
전북 26
 
5.5%
충남 25
 
5.3%
충북 17
 
3.6%
Other values (46) 133
28.0%
2023-12-12T20:18:24.218174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
경 209
15.3%
남 141
10.3%
, 138
10.1%
북 112
 
8.2%
기 102
 
7.5%
전 96
 
7.0%
울 69
 
5.1%
충 68
 
5.0%
서 62
 
4.5%
대 50
 
3.7%
Other values (12) 317
23.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1226
89.9%
Other Punctuation 138
 
10.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 209
17.0%
남 141
11.5%
북 112
9.1%
기 102
 
8.3%
전 96
 
7.8%
울 69
 
5.6%
충 68
 
5.5%
서 62
 
5.1%
대 50
 
4.1%
천 39
 
3.2%
Other values (11) 278
22.7%
Other Punctuation
ValueCountFrequency (%)
, 138
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1226
89.9%
Common 138
 
10.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 209
17.0%
남 141
11.5%
북 112
9.1%
기 102
 
8.3%
전 96
 
7.8%
울 69
 
5.6%
충 68
 
5.5%
서 62
 
5.1%
대 50
 
4.1%
천 39
 
3.2%
Other values (11) 278
22.7%
Common
ValueCountFrequency (%)
, 138
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1226
89.9%
ASCII 138
 
10.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
경 209
17.0%
남 141
11.5%
북 112
9.1%
기 102
 
8.3%
전 96
 
7.8%
울 69
 
5.6%
충 68
 
5.5%
서 62
 
5.1%
대 50
 
4.1%
천 39
 
3.2%
Other values (11) 278
22.7%
ASCII
ValueCountFrequency (%)
, 138
100.0%

상세지역
Text

MISSING 

Distinct845
Distinct (%)27.0%
Missing6874
Missing (%)68.7%
Memory size156.2 KiB
2023-12-12T20:18:24.698790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length2
Mean length3.9037108
Min length1

Characters and Unicode

Total characters12203
Distinct characters285
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique697 ?
Unique (%)22.3%

Sample

1st row전국
2nd row전국
3rd row부산,울산,경남
4th row전국
5th row국내외
ValueCountFrequency (%)
전국 1627
39.5%
인터넷 329
 
8.0%
및 138
 
3.4%
서울 58
 
1.4%
경기도 57
 
1.4%
국내외 45
 
1.1%
국내 45
 
1.1%
해외 40
 
1.0%
전역 34
 
0.8%
등 31
 
0.8%
Other values (777) 1712
41.6%
2023-12-12T20:18:25.451592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
전 1910
 
15.7%
국 1838
 
15.1%
991
 
8.1%
, 525
 
4.3%
인 450
 
3.7%
넷 343
 
2.8%
터 342
 
2.8%
시 287
 
2.4%
역 250
 
2.0%
경 228
 
1.9%
Other values (275) 5039
41.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10558
86.5%
Space Separator 991
 
8.1%
Other Punctuation 567
 
4.6%
Close Punctuation 30
 
0.2%
Open Punctuation 30
 
0.2%
Decimal Number 15
 
0.1%
Uppercase Letter 6
 
< 0.1%
Lowercase Letter 5
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 1910
18.1%
국 1838
17.4%
인 450
 
4.3%
넷 343
 
3.2%
터 342
 
3.2%
시 287
 
2.7%
역 250
 
2.4%
경 228
 
2.2%
지 204
 
1.9%
도 189
 
1.8%
Other values (249) 4517
42.8%
Decimal Number
ValueCountFrequency (%)
1 5
33.3%
7 3
20.0%
5 2
 
13.3%
3 1
 
6.7%
2 1
 
6.7%
8 1
 
6.7%
6 1
 
6.7%
4 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
, 525
92.6%
. 17
 
3.0%
/ 11
 
1.9%
· 8
 
1.4%
? 6
 
1.1%
Lowercase Letter
ValueCountFrequency (%)
m 1
20.0%
e 1
20.0%
i 1
20.0%
a 1
20.0%
l 1
20.0%
Uppercase Letter
ValueCountFrequency (%)
P 2
33.3%
C 2
33.3%
T 1
16.7%
I 1
16.7%
Space Separator
ValueCountFrequency (%)
991
100.0%
Close Punctuation
ValueCountFrequency (%)
) 30
100.0%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10558
86.5%
Common 1634
 
13.4%
Latin 11
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 1910
18.1%
국 1838
17.4%
인 450
 
4.3%
넷 343
 
3.2%
터 342
 
3.2%
시 287
 
2.7%
역 250
 
2.4%
경 228
 
2.2%
지 204
 
1.9%
도 189
 
1.8%
Other values (249) 4517
42.8%
Common
ValueCountFrequency (%)
991
60.6%
, 525
32.1%
) 30
 
1.8%
( 30
 
1.8%
. 17
 
1.0%
/ 11
 
0.7%
· 8
 
0.5%
? 6
 
0.4%
1 5
 
0.3%
7 3
 
0.2%
Other values (7) 8
 
0.5%
Latin
ValueCountFrequency (%)
P 2
18.2%
C 2
18.2%
m 1
9.1%
e 1
9.1%
T 1
9.1%
I 1
9.1%
i 1
9.1%
a 1
9.1%
l 1
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10556
86.5%
ASCII 1637
 
13.4%
None 8
 
0.1%
Compat Jamo 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
전 1910
18.1%
국 1838
17.4%
인 450
 
4.3%
넷 343
 
3.2%
터 342
 
3.2%
시 287
 
2.7%
역 250
 
2.4%
경 228
 
2.2%
지 204
 
1.9%
도 189
 
1.8%
Other values (248) 4515
42.8%
ASCII
ValueCountFrequency (%)
991
60.5%
, 525
32.1%
) 30
 
1.8%
( 30
 
1.8%
. 17
 
1.0%
/ 11
 
0.7%
? 6
 
0.4%
1 5
 
0.3%
7 3
 
0.2%
5 2
 
0.1%
Other values (15) 17
 
1.0%
None
ValueCountFrequency (%)
· 8
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅇ 2
100.0%

유무가
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
무가
7017 
유가
2983 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row무가
2nd row무가
3rd row유가
4th row무가
5th row무가

Common Values

ValueCountFrequency (%)
무가 7017
70.2%
유가 2983
29.8%

Length

2023-12-12T20:18:25.666195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:18:25.830814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
무가 7017
70.2%
유가 2983
29.8%

보급대상
Text

MISSING 

Distinct1900
Distinct (%)28.0%
Missing3220
Missing (%)32.2%
Memory size156.2 KiB
2023-12-12T20:18:26.254297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length3
Mean length5.5797935
Min length1

Characters and Unicode

Total characters37831
Distinct characters467
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1688 ?
Unique (%)24.9%

Sample

1st row전국
2nd row네티즌
3rd row청소년
4th row관련 업종 종사자 및 일반시민
5th row네티즌
ValueCountFrequency (%)
네티즌 2689
25.0%
일반인 560
 
5.2%
및 560
 
5.2%
전국민 456
 
4.2%
국민 329
 
3.1%
일반 248
 
2.3%
등 180
 
1.7%
일반국민 172
 
1.6%
전 143
 
1.3%
전국 130
 
1.2%
Other values (2137) 5302
49.2%
2023-12-12T20:18:27.038477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3992
 
10.6%
네 2751
 
7.3%
티 2749
 
7.3%
즌 2748
 
7.3%
민 1835
 
4.9%
국 1356
 
3.6%
인 1324
 
3.5%
일 1224
 
3.2%
반 1209
 
3.2%
, 1097
 
2.9%
Other values (457) 17546
46.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 32077
84.8%
Space Separator 3992
 
10.6%
Other Punctuation 1210
 
3.2%
Decimal Number 228
 
0.6%
Open Punctuation 105
 
0.3%
Close Punctuation 104
 
0.3%
Uppercase Letter 68
 
0.2%
Math Symbol 27
 
0.1%
Dash Punctuation 11
 
< 0.1%
Lowercase Letter 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
네 2751
 
8.6%
티 2749
 
8.6%
즌 2748
 
8.6%
민 1835
 
5.7%
국 1356
 
4.2%
인 1324
 
4.1%
일 1224
 
3.8%
반 1209
 
3.8%
전 937
 
2.9%
관 697
 
2.2%
Other values (412) 15247
47.5%
Uppercase Letter
ValueCountFrequency (%)
C 11
16.2%
I 9
13.2%
T 9
13.2%
E 7
10.3%
O 7
10.3%
S 6
8.8%
N 4
 
5.9%
G 3
 
4.4%
P 3
 
4.4%
F 2
 
2.9%
Other values (5) 7
10.3%
Decimal Number
ValueCountFrequency (%)
0 96
42.1%
2 46
20.2%
3 25
 
11.0%
5 17
 
7.5%
4 15
 
6.6%
1 14
 
6.1%
6 5
 
2.2%
9 5
 
2.2%
7 3
 
1.3%
8 2
 
0.9%
Other Punctuation
ValueCountFrequency (%)
, 1097
90.7%
. 66
 
5.5%
/ 24
 
2.0%
· 14
 
1.2%
? 4
 
0.3%
; 2
 
0.2%
& 2
 
0.2%
# 1
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
i 2
22.2%
a 2
22.2%
t 1
11.1%
p 1
11.1%
e 1
11.1%
m 1
11.1%
l 1
11.1%
Space Separator
ValueCountFrequency (%)
3992
100.0%
Open Punctuation
ValueCountFrequency (%)
( 105
100.0%
Close Punctuation
ValueCountFrequency (%)
) 104
100.0%
Math Symbol
ValueCountFrequency (%)
~ 27
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 32077
84.8%
Common 5677
 
15.0%
Latin 77
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
네 2751
 
8.6%
티 2749
 
8.6%
즌 2748
 
8.6%
민 1835
 
5.7%
국 1356
 
4.2%
인 1324
 
4.1%
일 1224
 
3.8%
반 1209
 
3.8%
전 937
 
2.9%
관 697
 
2.2%
Other values (412) 15247
47.5%
Common
ValueCountFrequency (%)
3992
70.3%
, 1097
 
19.3%
( 105
 
1.8%
) 104
 
1.8%
0 96
 
1.7%
. 66
 
1.2%
2 46
 
0.8%
~ 27
 
0.5%
3 25
 
0.4%
/ 24
 
0.4%
Other values (13) 95
 
1.7%
Latin
ValueCountFrequency (%)
C 11
14.3%
I 9
11.7%
T 9
11.7%
E 7
9.1%
O 7
9.1%
S 6
 
7.8%
N 4
 
5.2%
G 3
 
3.9%
P 3
 
3.9%
F 2
 
2.6%
Other values (12) 16
20.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 32070
84.8%
ASCII 5740
 
15.2%
None 14
 
< 0.1%
Compat Jamo 7
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3992
69.5%
, 1097
 
19.1%
( 105
 
1.8%
) 104
 
1.8%
0 96
 
1.7%
. 66
 
1.1%
2 46
 
0.8%
~ 27
 
0.5%
3 25
 
0.4%
/ 24
 
0.4%
Other values (34) 158
 
2.8%
Hangul
ValueCountFrequency (%)
네 2751
 
8.6%
티 2749
 
8.6%
즌 2748
 
8.6%
민 1835
 
5.7%
국 1356
 
4.2%
인 1324
 
4.1%
일 1224
 
3.8%
반 1209
 
3.8%
전 937
 
2.9%
관 697
 
2.2%
Other values (408) 15240
47.5%
None
ValueCountFrequency (%)
· 14
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅎ 3
42.9%
ㅇ 2
28.6%
ㅂ 1
 
14.3%
ㆍ 1
 
14.3%

사용언어
Text

MISSING 

Distinct70
Distinct (%)4.3%
Missing8388
Missing (%)83.9%
Memory size156.2 KiB
2023-12-12T20:18:27.294043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length3.601737
Min length1

Characters and Unicode

Total characters5806
Distinct characters51
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique46 ?
Unique (%)2.9%

Sample

1st row한국어,영어 등
2nd row한국어
3rd row한국
4th row한글
5th row한국어,영어 등
ValueCountFrequency (%)
한국어 890
43.5%
국어 297
 
14.5%
한글 249
 
12.2%
등 225
 
11.0%
영어 192
 
9.4%
한국어,영어 66
 
3.2%
국문 31
 
1.5%
중국어 13
 
0.6%
네티즌 12
 
0.6%
한국 7
 
0.3%
Other values (43) 64
 
3.1%
2023-12-12T20:18:27.870963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
어 1583
27.3%
국 1333
23.0%
한 1237
21.3%
435
 
7.5%
, 289
 
5.0%
영 278
 
4.8%
글 258
 
4.4%
등 228
 
3.9%
문 35
 
0.6%
중 18
 
0.3%
Other values (41) 112
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5075
87.4%
Space Separator 435
 
7.5%
Other Punctuation 295
 
5.1%
Decimal Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
어 1583
31.2%
국 1333
26.3%
한 1237
24.4%
영 278
 
5.5%
글 258
 
5.1%
등 228
 
4.5%
문 35
 
0.7%
중 18
 
0.4%
일 13
 
0.3%
즌 12
 
0.2%
Other values (36) 80
 
1.6%
Other Punctuation
ValueCountFrequency (%)
, 289
98.0%
. 5
 
1.7%
? 1
 
0.3%
Space Separator
ValueCountFrequency (%)
435
100.0%
Decimal Number
ValueCountFrequency (%)
5 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5075
87.4%
Common 731
 
12.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
어 1583
31.2%
국 1333
26.3%
한 1237
24.4%
영 278
 
5.5%
글 258
 
5.1%
등 228
 
4.5%
문 35
 
0.7%
중 18
 
0.4%
일 13
 
0.3%
즌 12
 
0.2%
Other values (36) 80
 
1.6%
Common
ValueCountFrequency (%)
435
59.5%
, 289
39.5%
. 5
 
0.7%
? 1
 
0.1%
5 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5070
87.3%
ASCII 731
 
12.6%
Compat Jamo 5
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
어 1583
31.2%
국 1333
26.3%
한 1237
24.4%
영 278
 
5.5%
글 258
 
5.1%
등 228
 
4.5%
문 35
 
0.7%
중 18
 
0.4%
일 13
 
0.3%
즌 12
 
0.2%
Other values (34) 75
 
1.5%
ASCII
ValueCountFrequency (%)
435
59.5%
, 289
39.5%
. 5
 
0.7%
? 1
 
0.1%
5 1
 
0.1%
Compat Jamo
ValueCountFrequency (%)
ㅎ 3
60.0%
ㅇ 2
40.0%

인터넷주소
Text

MISSING 

Distinct5177
Distinct (%)97.7%
Missing4702
Missing (%)47.0%
Memory size156.2 KiB
2023-12-12T20:18:28.360055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length39
Mean length16.667988
Min length2

Characters and Unicode

Total characters88307
Distinct characters321
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

Unique5091 ?
Unique (%)96.1%

Sample

1st rowwww.namdozine.com
2nd rowwww.ggdaily.kr
3rd rowwww.gangneungnews.kr
4th rowwww.newsademic.co.kr
5th rownews-media.co.kr
ValueCountFrequency (%)
cafe.daum.net/amp.ceo13 18
 
0.3%
www.cailbo.com 15
 
0.3%
www.imedkorea.co.kr 7
 
0.1%
www 6
 
0.1%
sbody32.com 3
 
0.1%
www.eduwill.net 3
 
0.1%
www.maximkorea.net 3
 
0.1%
3
 
0.1%
www.alibabarg.com 2
 
< 0.1%
www.boan24.com 2
 
< 0.1%
Other values (5176) 5256
98.8%
2023-12-12T20:18:29.166720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
w 12336
14.0%
. 10985
12.4%
o 7169
 
8.1%
e 5659
 
6.4%
c 5038
 
5.7%
r 4755
 
5.4%
n 4649
 
5.3%
s 4085
 
4.6%
k 4023
 
4.6%
m 3555
 
4.0%
Other values (311) 26053
29.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 73279
83.0%
Other Punctuation 12051
 
13.6%
Other Letter 1220
 
1.4%
Decimal Number 1085
 
1.2%
Uppercase Letter 376
 
0.4%
Dash Punctuation 264
 
0.3%
Space Separator 20
 
< 0.1%
Close Punctuation 4
 
< 0.1%
Open Punctuation 4
 
< 0.1%
Connector Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 66
 
5.4%
문 66
 
5.4%
뉴 60
 
4.9%
신 55
 
4.5%
한 38
 
3.1%
국 31
 
2.5%
경 21
 
1.7%
일 21
 
1.7%
동 17
 
1.4%
보 17
 
1.4%
Other values (239) 828
67.9%
Lowercase Letter
ValueCountFrequency (%)
w 12336
16.8%
o 7169
 
9.8%
e 5659
 
7.7%
c 5038
 
6.9%
r 4755
 
6.5%
n 4649
 
6.3%
s 4085
 
5.6%
k 4023
 
5.5%
m 3555
 
4.9%
a 3464
 
4.7%
Other values (16) 18546
25.3%
Uppercase Letter
ValueCountFrequency (%)
E 42
11.2%
O 36
9.6%
C 32
 
8.5%
M 32
 
8.5%
A 29
 
7.7%
N 27
 
7.2%
P 26
 
6.9%
T 24
 
6.4%
W 21
 
5.6%
S 19
 
5.1%
Other values (14) 88
23.4%
Decimal Number
ValueCountFrequency (%)
1 241
22.2%
2 239
22.0%
4 167
15.4%
0 112
10.3%
3 109
10.0%
5 60
 
5.5%
9 46
 
4.2%
6 46
 
4.2%
8 33
 
3.0%
7 32
 
2.9%
Other Punctuation
ValueCountFrequency (%)
. 10985
91.2%
/ 753
 
6.2%
: 297
 
2.5%
, 8
 
0.1%
@ 7
 
0.1%
; 1
 
< 0.1%
Dash Punctuation
ValueCountFrequency (%)
- 264
100.0%
Space Separator
ValueCountFrequency (%)
20
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%
Math Symbol
ValueCountFrequency (%)
> 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 73655
83.4%
Common 13432
 
15.2%
Hangul 1220
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 66
 
5.4%
문 66
 
5.4%
뉴 60
 
4.9%
신 55
 
4.5%
한 38
 
3.1%
국 31
 
2.5%
경 21
 
1.7%
일 21
 
1.7%
동 17
 
1.4%
보 17
 
1.4%
Other values (239) 828
67.9%
Latin
ValueCountFrequency (%)
w 12336
16.7%
o 7169
 
9.7%
e 5659
 
7.7%
c 5038
 
6.8%
r 4755
 
6.5%
n 4649
 
6.3%
s 4085
 
5.5%
k 4023
 
5.5%
m 3555
 
4.8%
a 3464
 
4.7%
Other values (40) 18922
25.7%
Common
ValueCountFrequency (%)
. 10985
81.8%
/ 753
 
5.6%
: 297
 
2.2%
- 264
 
2.0%
1 241
 
1.8%
2 239
 
1.8%
4 167
 
1.2%
0 112
 
0.8%
3 109
 
0.8%
5 60
 
0.4%
Other values (12) 205
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 87087
98.6%
Hangul 1213
 
1.4%
Compat Jamo 7
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
w 12336
14.2%
. 10985
12.6%
o 7169
 
8.2%
e 5659
 
6.5%
c 5038
 
5.8%
r 4755
 
5.5%
n 4649
 
5.3%
s 4085
 
4.7%
k 4023
 
4.6%
m 3555
 
4.1%
Other values (62) 24833
28.5%
Hangul
ValueCountFrequency (%)
스 66
 
5.4%
문 66
 
5.4%
뉴 60
 
4.9%
신 55
 
4.5%
한 38
 
3.1%
국 31
 
2.6%
경 21
 
1.7%
일 21
 
1.7%
동 17
 
1.4%
보 17
 
1.4%
Other values (235) 821
67.7%
Compat Jamo
ValueCountFrequency (%)
ㄹ 3
42.9%
ㄴ 2
28.6%
ㅓ 1
 
14.3%
ㅇ 1
 
14.3%

발행소명
Text

MISSING 

Distinct4226
Distinct (%)85.8%
Missing5075
Missing (%)50.7%
Memory size156.2 KiB
2023-12-12T20:18:29.718779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length38
Mean length10.188832
Min length1

Characters and Unicode

Total characters50180
Distinct characters773
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3784 ?
Unique (%)76.8%

Sample

1st row(주)크레펀
2nd row주식회사 코라이브
3rd row사단법인 대한심폐소생협회
4th row한국종교협동조합
5th row(주)인포더
ValueCountFrequency (%)
주식회사 1976
 
25.9%
사단법인 188
 
2.5%
유한회사 71
 
0.9%
주 68
 
0.9%
재단법인 43
 
0.6%
투데이미디어그룹(주 36
 
0.5%
co 13
 
0.2%
ltd 12
 
0.2%
사회적협동조합 12
 
0.2%
media 11
 
0.1%
Other values (4402) 5186
68.1%
2023-12-12T20:18:30.524396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 4096
 
8.2%
사 2900
 
5.8%
2698
 
5.4%
회 2587
 
5.2%
) 2186
 
4.4%
( 2140
 
4.3%
식 2054
 
4.1%
스 1177
 
2.3%
이 1042
 
2.1%
한 704
 
1.4%
Other values (763) 28596
57.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 42471
84.6%
Space Separator 2698
 
5.4%
Close Punctuation 2186
 
4.4%
Open Punctuation 2140
 
4.3%
Lowercase Letter 313
 
0.6%
Uppercase Letter 216
 
0.4%
Decimal Number 79
 
0.2%
Other Punctuation 61
 
0.1%
Other Symbol 11
 
< 0.1%
Dash Punctuation 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 4096
 
9.6%
사 2900
 
6.8%
회 2587
 
6.1%
식 2054
 
4.8%
스 1177
 
2.8%
이 1042
 
2.5%
한 704
 
1.7%
디 693
 
1.6%
인 675
 
1.6%
문 637
 
1.5%
Other values (697) 25906
61.0%
Lowercase Letter
ValueCountFrequency (%)
o 38
12.1%
d 32
10.2%
e 31
9.9%
t 28
8.9%
a 26
8.3%
i 26
8.3%
c 20
 
6.4%
n 19
 
6.1%
r 18
 
5.8%
s 11
 
3.5%
Other values (13) 64
20.4%
Uppercase Letter
ValueCountFrequency (%)
C 29
13.4%
A 22
 
10.2%
L 21
 
9.7%
M 20
 
9.3%
I 15
 
6.9%
T 11
 
5.1%
D 11
 
5.1%
B 10
 
4.6%
N 9
 
4.2%
S 9
 
4.2%
Other values (12) 59
27.3%
Decimal Number
ValueCountFrequency (%)
0 18
22.8%
1 14
17.7%
2 10
12.7%
3 10
12.7%
4 9
11.4%
5 8
10.1%
7 3
 
3.8%
8 3
 
3.8%
9 2
 
2.5%
6 2
 
2.5%
Other Punctuation
ValueCountFrequency (%)
. 37
60.7%
, 18
29.5%
& 3
 
4.9%
; 1
 
1.6%
· 1
 
1.6%
' 1
 
1.6%
Space Separator
ValueCountFrequency (%)
2698
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2186
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2140
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 11
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 42482
84.7%
Common 7169
 
14.3%
Latin 529
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 4096
 
9.6%
사 2900
 
6.8%
회 2587
 
6.1%
식 2054
 
4.8%
스 1177
 
2.8%
이 1042
 
2.5%
한 704
 
1.7%
디 693
 
1.6%
인 675
 
1.6%
문 637
 
1.5%
Other values (698) 25917
61.0%
Latin
ValueCountFrequency (%)
o 38
 
7.2%
d 32
 
6.0%
e 31
 
5.9%
C 29
 
5.5%
t 28
 
5.3%
a 26
 
4.9%
i 26
 
4.9%
A 22
 
4.2%
L 21
 
4.0%
c 20
 
3.8%
Other values (35) 256
48.4%
Common
ValueCountFrequency (%)
2698
37.6%
) 2186
30.5%
( 2140
29.9%
. 37
 
0.5%
, 18
 
0.3%
0 18
 
0.3%
1 14
 
0.2%
2 10
 
0.1%
3 10
 
0.1%
4 9
 
0.1%
Other values (10) 29
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 42469
84.6%
ASCII 7697
 
15.3%
None 12
 
< 0.1%
Compat Jamo 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 4096
 
9.6%
사 2900
 
6.8%
회 2587
 
6.1%
식 2054
 
4.8%
스 1177
 
2.8%
이 1042
 
2.5%
한 704
 
1.7%
디 693
 
1.6%
인 675
 
1.6%
문 637
 
1.5%
Other values (696) 25904
61.0%
ASCII
ValueCountFrequency (%)
2698
35.1%
) 2186
28.4%
( 2140
27.8%
o 38
 
0.5%
. 37
 
0.5%
d 32
 
0.4%
e 31
 
0.4%
C 29
 
0.4%
t 28
 
0.4%
a 26
 
0.3%
Other values (54) 452
 
5.9%
None
ValueCountFrequency (%)
㈜ 11
91.7%
· 1
 
8.3%
Compat Jamo
ValueCountFrequency (%)
ㅇ 2
100.0%

발행소 주소
Text

Distinct516
Distinct (%)5.2%
Missing36
Missing (%)0.4%
Memory size156.2 KiB
2023-12-12T20:18:31.214323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length13
Mean length7.1927941
Min length5

Characters and Unicode

Total characters71669
Distinct characters189
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique113 ?
Unique (%)1.1%

Sample

1st row전남 목포시
2nd row경기도 수원시
3rd row경기도 고양시
4th row부산광역시 중구
5th row강원 강릉시
ValueCountFrequency (%)
서울 2522
 
12.7%
서울특별시 2288
 
11.5%
경기 1148
 
5.8%
경기도 722
 
3.6%
강남구 674
 
3.4%
영등포구 586
 
2.9%
중구 545
 
2.7%
서초구 448
 
2.2%
마포구 434
 
2.2%
종로구 371
 
1.9%
Other values (297) 10190
51.1%
2023-12-12T20:18:32.026721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10014
 
14.0%
구 6763
 
9.4%
시 6362
 
8.9%
서 5819
 
8.1%
울 4944
 
6.9%
경 2566
 
3.6%
별 2442
 
3.4%
특 2441
 
3.4%
남 2037
 
2.8%
기 1895
 
2.6%
Other values (179) 26386
36.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 61649
86.0%
Space Separator 10014
 
14.0%
Decimal Number 5
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 6763
 
11.0%
시 6362
 
10.3%
서 5819
 
9.4%
울 4944
 
8.0%
경 2566
 
4.2%
별 2442
 
4.0%
특 2441
 
4.0%
남 2037
 
3.3%
기 1895
 
3.1%
도 1466
 
2.4%
Other values (173) 24914
40.4%
Decimal Number
ValueCountFrequency (%)
1 2
40.0%
2 1
20.0%
3 1
20.0%
0 1
20.0%
Space Separator
ValueCountFrequency (%)
10014
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 61649
86.0%
Common 10020
 
14.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 6763
 
11.0%
시 6362
 
10.3%
서 5819
 
9.4%
울 4944
 
8.0%
경 2566
 
4.2%
별 2442
 
4.0%
특 2441
 
4.0%
남 2037
 
3.3%
기 1895
 
3.1%
도 1466
 
2.4%
Other values (173) 24914
40.4%
Common
ValueCountFrequency (%)
10014
99.9%
1 2
 
< 0.1%
, 1
 
< 0.1%
2 1
 
< 0.1%
3 1
 
< 0.1%
0 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 61648
86.0%
ASCII 10020
 
14.0%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10014
99.9%
1 2
 
< 0.1%
, 1
 
< 0.1%
2 1
 
< 0.1%
3 1
 
< 0.1%
0 1
 
< 0.1%
Hangul
ValueCountFrequency (%)
구 6763
 
11.0%
시 6362
 
10.3%
서 5819
 
9.4%
울 4944
 
8.0%
경 2566
 
4.2%
별 2442
 
4.0%
특 2441
 
4.0%
남 2037
 
3.3%
기 1895
 
3.1%
도 1466
 
2.4%
Other values (172) 24913
40.4%
Compat Jamo
ValueCountFrequency (%)
ㄱ 1
100.0%

발행소 홈페이지
Text

MISSING 

Distinct3231
Distinct (%)93.0%
Missing6525
Missing (%)65.2%
Memory size156.2 KiB
2023-12-12T20:18:32.501788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length37
Mean length16.53295
Min length1

Characters and Unicode

Total characters57452
Distinct characters262
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3076 ?
Unique (%)88.5%

Sample

1st rowwww.namdozine.com
2nd rowwww.ggdaily.kr
3rd rowwww.bmk.com
4th rowwww.gangeungnews.kr
5th rowggbn.co.kr
ValueCountFrequency (%)
cafe.daum.net/amp.ceo13 18
 
0.5%
18
 
0.5%
www.cailbo.com 15
 
0.4%
tooniwox.com 10
 
0.3%
www 10
 
0.3%
www.imedkorea.co.kr 8
 
0.2%
www.elle.co.kr 7
 
0.2%
www.home-learn.com 6
 
0.2%
www.duranno.com 6
 
0.2%
www.eduwill.net 5
 
0.1%
Other values (3253) 3427
97.1%
2023-12-12T20:18:33.279398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
w 9095
15.8%
. 7625
13.3%
o 4648
 
8.1%
e 3442
 
6.0%
c 3327
 
5.8%
r 3150
 
5.5%
n 2938
 
5.1%
k 2548
 
4.4%
s 2336
 
4.1%
m 2281
 
4.0%
Other values (252) 16062
28.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 47166
82.1%
Other Punctuation 8260
 
14.4%
Decimal Number 690
 
1.2%
Other Letter 678
 
1.2%
Uppercase Letter 423
 
0.7%
Dash Punctuation 175
 
0.3%
Space Separator 55
 
0.1%
Connector Punctuation 4
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 47
 
6.9%
뉴 41
 
6.0%
문 34
 
5.0%
신 31
 
4.6%
한 23
 
3.4%
국 18
 
2.7%
교 13
 
1.9%
육 12
 
1.8%
시 11
 
1.6%
경 11
 
1.6%
Other values (182) 437
64.5%
Lowercase Letter
ValueCountFrequency (%)
w 9095
19.3%
o 4648
9.9%
e 3442
 
7.3%
c 3327
 
7.1%
r 3150
 
6.7%
n 2938
 
6.2%
k 2548
 
5.4%
s 2336
 
5.0%
m 2281
 
4.8%
a 2134
 
4.5%
Other values (16) 11267
23.9%
Uppercase Letter
ValueCountFrequency (%)
O 40
 
9.5%
A 39
 
9.2%
C 36
 
8.5%
W 34
 
8.0%
M 32
 
7.6%
P 31
 
7.3%
E 29
 
6.9%
K 27
 
6.4%
T 22
 
5.2%
R 20
 
4.7%
Other values (13) 113
26.7%
Decimal Number
ValueCountFrequency (%)
1 194
28.1%
2 134
19.4%
0 83
12.0%
4 80
11.6%
3 65
 
9.4%
8 40
 
5.8%
5 32
 
4.6%
7 25
 
3.6%
9 21
 
3.0%
6 16
 
2.3%
Other Punctuation
ValueCountFrequency (%)
. 7625
92.3%
/ 415
 
5.0%
: 139
 
1.7%
@ 63
 
0.8%
, 15
 
0.2%
; 2
 
< 0.1%
* 1
 
< 0.1%
Dash Punctuation
ValueCountFrequency (%)
- 175
100.0%
Space Separator
ValueCountFrequency (%)
55
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 4
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 47589
82.8%
Common 9185
 
16.0%
Hangul 678
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 47
 
6.9%
뉴 41
 
6.0%
문 34
 
5.0%
신 31
 
4.6%
한 23
 
3.4%
국 18
 
2.7%
교 13
 
1.9%
육 12
 
1.8%
시 11
 
1.6%
경 11
 
1.6%
Other values (182) 437
64.5%
Latin
ValueCountFrequency (%)
w 9095
19.1%
o 4648
 
9.8%
e 3442
 
7.2%
c 3327
 
7.0%
r 3150
 
6.6%
n 2938
 
6.2%
k 2548
 
5.4%
s 2336
 
4.9%
m 2281
 
4.8%
a 2134
 
4.5%
Other values (39) 11690
24.6%
Common
ValueCountFrequency (%)
. 7625
83.0%
/ 415
 
4.5%
1 194
 
2.1%
- 175
 
1.9%
: 139
 
1.5%
2 134
 
1.5%
0 83
 
0.9%
4 80
 
0.9%
3 65
 
0.7%
@ 63
 
0.7%
Other values (11) 212
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 56774
98.8%
Hangul 678
 
1.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
w 9095
16.0%
. 7625
13.4%
o 4648
 
8.2%
e 3442
 
6.1%
c 3327
 
5.9%
r 3150
 
5.5%
n 2938
 
5.2%
k 2548
 
4.5%
s 2336
 
4.1%
m 2281
 
4.0%
Other values (60) 15384
27.1%
Hangul
ValueCountFrequency (%)
스 47
 
6.9%
뉴 41
 
6.0%
문 34
 
5.0%
신 31
 
4.6%
한 23
 
3.4%
국 18
 
2.7%
교 13
 
1.9%
육 12
 
1.8%
시 11
 
1.6%
경 11
 
1.6%
Other values (182) 437
64.5%

인쇄소명
Text

MISSING 

Distinct1535
Distinct (%)35.9%
Missing5727
Missing (%)57.3%
Memory size156.2 KiB
2023-12-12T20:18:33.797178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length18
Mean length7.0985256
Min length1

Characters and Unicode

Total characters30332
Distinct characters444
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

Unique897 ?
Unique (%)21.0%

Sample

1st row진솔
2nd row제이엠프린팅
3rd row동신인쇄
4th row(주)타임문화
5th row(주)한국문화인쇄
ValueCountFrequency (%)
주)아이피디 236
 
5.0%
주식회사 211
 
4.5%
주)타임문화 112
 
2.4%
디엠코리아(주 77
 
1.6%
주)한국문화인쇄 62
 
1.3%
주)철도인쇄공사 62
 
1.3%
주)한국씨티에스 58
 
1.2%
주)남도프린테크 48
 
1.0%
주)주영테크 47
 
1.0%
진프로세스 40
 
0.9%
Other values (1564) 3725
79.6%
2023-12-12T20:18:34.564344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 2642
 
8.7%
) 2362
 
7.8%
( 2355
 
7.8%
인 1336
 
4.4%
쇄 1104
 
3.6%
사 985
 
3.2%
문 818
 
2.7%
화 715
 
2.4%
피 704
 
2.3%
아 632
 
2.1%
Other values (434) 16679
55.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24849
81.9%
Close Punctuation 2362
 
7.8%
Open Punctuation 2355
 
7.8%
Space Separator 480
 
1.6%
Uppercase Letter 165
 
0.5%
Lowercase Letter 36
 
0.1%
Other Punctuation 32
 
0.1%
Decimal Number 21
 
0.1%
Other Symbol 19
 
0.1%
Dash Punctuation 13
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 2642
 
10.6%
인 1336
 
5.4%
쇄 1104
 
4.4%
사 985
 
4.0%
문 818
 
3.3%
화 715
 
2.9%
피 704
 
2.8%
아 632
 
2.5%
프 625
 
2.5%
디 588
 
2.4%
Other values (389) 14700
59.2%
Uppercase Letter
ValueCountFrequency (%)
P 43
26.1%
S 22
13.3%
O 17
 
10.3%
C 13
 
7.9%
D 11
 
6.7%
K 10
 
6.1%
B 9
 
5.5%
N 8
 
4.8%
J 5
 
3.0%
Y 5
 
3.0%
Other values (9) 22
13.3%
Lowercase Letter
ValueCountFrequency (%)
s 8
22.2%
e 6
16.7%
o 4
11.1%
w 4
11.1%
a 3
 
8.3%
i 2
 
5.6%
n 2
 
5.6%
p 2
 
5.6%
r 1
 
2.8%
k 1
 
2.8%
Other values (3) 3
 
8.3%
Decimal Number
ValueCountFrequency (%)
2 8
38.1%
1 6
28.6%
3 5
23.8%
5 1
 
4.8%
0 1
 
4.8%
Other Punctuation
ValueCountFrequency (%)
& 24
75.0%
. 6
 
18.8%
; 2
 
6.2%
Close Punctuation
ValueCountFrequency (%)
) 2362
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2355
100.0%
Space Separator
ValueCountFrequency (%)
480
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 19
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24868
82.0%
Common 5263
 
17.4%
Latin 201
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 2642
 
10.6%
인 1336
 
5.4%
쇄 1104
 
4.4%
사 985
 
4.0%
문 818
 
3.3%
화 715
 
2.9%
피 704
 
2.8%
아 632
 
2.5%
프 625
 
2.5%
디 588
 
2.4%
Other values (390) 14719
59.2%
Latin
ValueCountFrequency (%)
P 43
21.4%
S 22
10.9%
O 17
 
8.5%
C 13
 
6.5%
D 11
 
5.5%
K 10
 
5.0%
B 9
 
4.5%
s 8
 
4.0%
N 8
 
4.0%
e 6
 
3.0%
Other values (22) 54
26.9%
Common
ValueCountFrequency (%)
) 2362
44.9%
( 2355
44.7%
480
 
9.1%
& 24
 
0.5%
- 13
 
0.2%
2 8
 
0.2%
. 6
 
0.1%
1 6
 
0.1%
3 5
 
0.1%
; 2
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24849
81.9%
ASCII 5464
 
18.0%
None 19
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 2642
 
10.6%
인 1336
 
5.4%
쇄 1104
 
4.4%
사 985
 
4.0%
문 818
 
3.3%
화 715
 
2.9%
피 704
 
2.8%
아 632
 
2.5%
프 625
 
2.5%
디 588
 
2.4%
Other values (389) 14700
59.2%
ASCII
ValueCountFrequency (%)
) 2362
43.2%
( 2355
43.1%
480
 
8.8%
P 43
 
0.8%
& 24
 
0.4%
S 22
 
0.4%
O 17
 
0.3%
- 13
 
0.2%
C 13
 
0.2%
D 11
 
0.2%
Other values (34) 124
 
2.3%
None
ValueCountFrequency (%)
㈜ 19
100.0%

복수여부
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
단건
9997 
복수
 
3

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
단건 9997
> 99.9%
복수 3
 
< 0.1%

Length

2023-12-12T20:18:34.824260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:18:35.000277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
단건 9997
> 99.9%
복수 3
 
< 0.1%

등록일자
Date

Distinct3292
Distinct (%)32.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2009-07-09 00:00:00
Maximum2023-10-23 00:00:00
2023-12-12T20:18:35.178619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:18:35.372216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

제출일자
Date

Distinct3313
Distinct (%)33.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2006-09-08 00:00:00
Maximum2023-10-19 00:00:00
2023-12-12T20:18:35.601780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:18:35.888535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

폐간일자
Date

MISSING 

Distinct1877
Distinct (%)52.1%
Missing6396
Missing (%)64.0%
Memory size156.2 KiB
Minimum2007-08-10 00:00:00
Maximum2023-10-20 00:00:00
2023-12-12T20:18:36.141068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:18:36.939443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Sample

순번등록번호제호기관명상태종별간별성격유형발행목적발행내용보급방법보급지역선택지역상세지역유무가보급대상사용언어인터넷주소발행소명발행소 주소발행소 홈페이지인쇄소명복수여부등록일자제출일자폐간일자
475755426아00407남도진전남폐간인터넷신문인터넷신문총류법인남도의 멋과 맛을 알리기 위함남도의 문화.섬.관광.여행 및 남도소식에 관한 내용<NA>전국<NA><NA>무가전국<NA>www.namdozine.com(주)크레펀전남 목포시www.namdozine.com<NA>단건2021-05-272021-05-252022-04-25
2705433129아50189경기데일리경기등록인터넷신문인터넷신문신문법인인터넷 시대에 공정보도와 비평을 통한 바른 여론형성 및 중소기업육성과 전통문화 창달에 이바지함상기 목적에 부합하는 내용만을 게재,배포함온라인전국<NA>전국무가네티즌한국어,영어 등www.ggdaily.kr주식회사 코라이브경기도 수원시www.ggdaily.kr<NA>단건2011-02-082011-01-27<NA>
2878331400라50170HOTSTAR(핫스타)경기폐간잡지월간연예정보개인초,중,고생 대상으로 현시대에 맞는 대중매체와 유익한 정보를 알려주고자함.상기 발행목적에 부합되는 내용만을 80면이상 140면이내로 게재,인쇄,제책<BR/>하여 유가로 배포함<NA>전국<NA>전국유가청소년한국어<NA><NA>경기도 고양시<NA>진솔단건2010-05-202010-05-122011-05-04
2129238891아00153부산매일경제부산폐간인터넷신문인터넷신문총류개인정부의 경제정책 및 행정기관의 생활경제 정보를 부산시민을 비롯한 독자들에게 알리고, 지역경제 활성화에 기여코자 함.부동산, 유통, 금융 등 생활경제와 지역경제 분야에 대한 양질의 정보제공.<NA><NA><NA>부산,울산,경남무가관련 업종 종사자 및 일반시민<NA><NA><NA>부산광역시 중구www.bmk.com<NA>단건2013-05-292013-05-292016-04-07
1453345650아00214강릉뉴스강원등록인터넷신문인터넷신문종합지개인지역 사회 현안과 의제에 관한 객관적인 사실과 의견에 대한 공정한 보도시사,정치,사회,교양,문화 등 사회전반에 대한 기사 및 소식 제공<NA>전국<NA><NA>무가<NA><NA>www.gangneungnews.kr<NA>강원 강릉시www.gangeungnews.kr<NA>단건2016-09-262016-09-09<NA>
1301547168사00022대한심폐소생협회 소식지송파등록기타간행물연2회간사단법인법인협회 전반적인 운영과 교육현황을 회원들에게 제공하기 위해교육내용<NA>전국<NA><NA>무가<NA><NA><NA>사단법인 대한심폐소생협회서울시 송파구<NA>제이엠프린팅단건2017-07-052017-07-05<NA>
913751046아52258뉴스아데믹(Newsademic)서울폐간인터넷신문인터넷신문총류개인글로벌 영자 신문을 아동, 청소년 및 성인에게 제공하여 영어 학습 향상과 글로벌 인재육성 증진에 기여상기 발행 목적에 부합되는 부합되는 내용만을 게재함인터텟전국<NA><NA>유가네티즌<NA>www.newsademic.co.kr<NA>서울 은평구<NA><NA>단건2019-04-092019-04-092020-08-12
618853995아52657전국미래신문경기등록인터넷신문인터넷신문총류개인정치 경제 사회 문화 교육 행정등 각종 뉴스를 취재 보도 함상기 목적에 부합하는 내용만을 게재, 배포함<NA>전국<NA><NA>무가국민<NA>news-media.co.kr<NA>경기 부천시<NA><NA>단건2020-09-092020-08-26<NA>
1669843485라00156NewsMKorea구로등록잡지월간기타개인국내기업 및 CEO 등을 소개해 발전을 견인국내 기업 및 CEO 인터뷰 중심 제작<NA>전국<NA><NA>유가<NA><NA><NA><NA>서울특별시 구로구<NA>동신인쇄단건2015-05-122015-05-07<NA>
2315737026다10514패밀리뉴스연합서울폐간특수주간신문주간신문개인시사 종합지로서 보도,논평 및 여론을 게재하고 다양한 정보제공과 삶의 질 향상에 기여상기 발행 목적에 부합하는 내용만을 타블로이드판 20면이상 36면이내로 게재 인쇄하여 유가로 배포함.<NA>전국<NA>전국유가시민<NA><NA><NA>서울특별시 영등포구<NA>(주)타임문화단건2012-09-042012-09-042013-10-11
순번등록번호제호기관명상태종별간별성격유형발행목적발행내용보급방법보급지역선택지역상세지역유무가보급대상사용언어인터넷주소발행소명발행소 주소발행소 홈페이지인쇄소명복수여부등록일자제출일자폐간일자
100059183아00459지아센뉴스대전등록인터넷신문인터넷신문총류법인지역아동센터의 보호, 교육, 문화, 정책 등의 뉴스 제공 및 사회복지 관련 정보를 제공하여 사회서비스 제공의 질적 향상과 사회복지사의 복지 향상, 건강 증진에 기여한다.지역아동센터 소식(뉴스)<NA>전국<NA><NA>무가국민<NA>jiasen.kr주식회사 지아센 (JIASEN)대전 서구<NA><NA>단건2023-04-262023-04-24<NA>
2495835225라00123골프대중화송파폐간잡지월간골프법인회원사의 유대강화 및 정보교류대중골프장 소식지 및 회원사 홍보,36P분량,협회회보우편발송전국<NA>전국무가전국한국어<NA>(사)한국대중골프장협회서울특별시 송파구<NA>태경인쇄단건2011-12-142011-12-092016-09-09
2913531048다04607경북신문대구폐간일반주간신문주간지역지법인본회사는 사회공익에 기여하는 언론기관을 설치, 운영하며 언론, 출판사업에 관한 연구개발을 적극 지원하고 효율적이고 능동적인 자세로서 신속하고 공정한 보도를 통해 국민에게 알 권리를 부여함을 목적으로 함상기 발행목적에 부합되는 내용만을 16면 이상 32면 이내로 게재, 인쇄하여 발행함직송<NA><NA>대구, 경북 및 서울유가일반시민국어<NA>(주)대구매일신문대구광역시 달서구<NA>세종기획정밀인쇄단건2010-04-062010-03-182010-11-10
2807732106다00219미래시사저널광주폐간일반주간신문주간교육법인각종 교육관련 자료제작 및 배포로 언론을 통한 교육정보와 프로그램 공유 목적상기 발행목적에 부합되는 내용만을 8면이상 20면이내로 게재, 인쇄, 제책하여 무가로 배포함우편 및 직접배부<NA><NA>광주전남무가일반인 및 교육관련자 등한국어<NA>(사)국제평생교육연합회광주광역시 광산구<NA>(주)내일인쇄단건2010-09-062010-08-242010-09-09
1414946034아00290작은신문전남등록인터넷신문인터넷신문총류개인정치,경제,사회,외교,국방,법무,경찰,국토교통,국세,건설,산업,정보통신,문화,예술,노동,환경,보건복지,농림해양수산,체육 등에서 발생되는 사건, 사고를 취재 보도하여 인터넷을 통하여 국민경제에 이바지인터넷 홈페이지에서 전 국민을 상대로하는 인터넷 신문 운영<NA>전국<NA><NA>무가전 국민<NA>www.작은신문.kr<NA>전남 곡성군www.작은신문.kr/<NA>단건2016-11-252016-11-03<NA>
1719742986아51172진학TV경기폐간인터넷신문인터넷신문총류개인동탄2신도시 지역뉴스와 기업, 단체, 사람들의 소식을 알려 동탄2신도시 지역발전에 기여하고자 함상기 발행목적에 부합되는 내용만 게재인터넷지역경기화성시무가화성시민한국어, 영어 등www.jinhaktv.co.kr<NA>경기도 수원시<NA><NA>단건2015-02-242015-02-122019-08-30
2782432359자00310강원 잡코리아서울폐간인터넷뉴스서비스인터넷뉴스서비스취업법인웹사이트 방문자에게 구인 및 구직활동에 도움을 주고자 취업관련 뉴스 컨텐츠 제공.취업뉴스 외 15개 카테고리로 분류하여 제공(산업 기업, 벤처 중기 등)인터넷<NA><NA><NA>무가네티즌<NA>033.jobkorea.co.kr잡코리아 유한회사서울특별시 서초구033.jobkorea.co.kr<NA>단건2010-10-132010-10-132017-03-23
1896641217사00003문학의 뜰부천등록정보간행물연2회간문학개인문학창작품 게재문학작품집<NA>전국<NA><NA>유가<NA><NA><NA><NA>경기도 부천시<NA>명성인쇄사단건2014-05-092014-04-28<NA>
1997840205아02927내외통신 뉴스서울등록인터넷신문인터넷신문총류법인국내외 정치,경제,사회,문화,환경 등 특히,북한권 제반 정보를 취재,평론,보도하여 남북통일과 국가발전에 기여상기 발행목적에 부합되는 내용을 게재함인터넷지역<NA>인터넷무가네티즌<NA>www.nwtnews.co.kr(주)내외통신서울 종로구<NA><NA>단건2013-12-122013-12-12<NA>
2961230571라06650마산투니카(toonicar)경남폐간잡지월간자동차개인만화를 이용한 자동차전문지로서 각종 자동차 전문지로서 각종 자동차 소식 및 지역 자동차 관련 정보제공을 목적으로 함5*7배판, 60면배부<NA><NA>경남도내 및 동호인무가일반인한국어<NA><NA>경상남도 창원시tooniwow.com(주)투니웍스단건2010-02-022010-01-262014-10-06