Overview

Dataset statistics

Number of variables12
Number of observations32
Missing cells117
Missing cells (%)30.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.2 KiB
Average record size in memory101.1 B

Variable types

Numeric1
Categorical2
DateTime1
Text8

Dataset

Description과학기술정보통신부 중앙전파관리소 특수부가(웹하드)통신사업자 현황 데이터를 제공합니다.(관리관서, 등록일자, 사업자명, 사업자등록번호, 사업종별, 사이트)
Author과학기술정보통신부 중앙전파관리소
URLhttps://www.data.go.kr/data/15042528/fileData.do

Alerts

사이트(5) has constant value ""Constant
사이트(6) has constant value ""Constant
관리관서 is highly overall correlated with 사업종별High correlation
사업종별 is highly overall correlated with 관리관서High correlation
관리관서 is highly imbalanced (59.3%)Imbalance
사업종별 is highly imbalanced (74.8%)Imbalance
사이트(2) has 3 (9.4%) missing valuesMissing
사이트(3) has 26 (81.2%) missing valuesMissing
사이트(4) has 26 (81.2%) missing valuesMissing
사이트(5) has 31 (96.9%) missing valuesMissing
사이트(6) has 31 (96.9%) missing valuesMissing
순번 has unique valuesUnique
사업자명 has unique valuesUnique
사업자등록번호 has unique valuesUnique
사이트(1) has unique valuesUnique

Reproduction

Analysis started2024-03-16 04:22:12.957787
Analysis finished2024-03-16 04:22:13.843310
Duration0.89 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.5
Minimum1
Maximum32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-03-16T13:22:13.894732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.55
Q18.75
median16.5
Q324.25
95-th percentile30.45
Maximum32
Range31
Interquartile range (IQR)15.5

Descriptive statistics

Standard deviation9.3808315
Coefficient of variation (CV)0.56853524
Kurtosis-1.2
Mean16.5
Median Absolute Deviation (MAD)8
Skewness0
Sum528
Variance88
MonotonicityStrictly increasing
2024-03-16T13:22:14.005080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
1 1
 
3.1%
18 1
 
3.1%
32 1
 
3.1%
31 1
 
3.1%
30 1
 
3.1%
29 1
 
3.1%
28 1
 
3.1%
27 1
 
3.1%
26 1
 
3.1%
25 1
 
3.1%
Other values (22) 22
68.8%
ValueCountFrequency (%)
1 1
3.1%
2 1
3.1%
3 1
3.1%
4 1
3.1%
5 1
3.1%
6 1
3.1%
7 1
3.1%
8 1
3.1%
9 1
3.1%
10 1
3.1%
ValueCountFrequency (%)
32 1
3.1%
31 1
3.1%
30 1
3.1%
29 1
3.1%
28 1
3.1%
27 1
3.1%
26 1
3.1%
25 1
3.1%
24 1
3.1%
23 1
3.1%

관리관서
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size388.0 B
서울전파관리소
28 
부산전파관리소
3 
청주전파관리소
 
1

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique1 ?
Unique (%)3.1%

Sample

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

Common Values

ValueCountFrequency (%)
서울전파관리소 28
87.5%
부산전파관리소 3
 
9.4%
청주전파관리소 1
 
3.1%

Length

2024-03-16T13:22:14.115916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-16T13:22:14.196742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울전파관리소 28
87.5%
부산전파관리소 3
 
9.4%
청주전파관리소 1
 
3.1%

등록일자
Date

Distinct29
Distinct (%)90.6%
Missing0
Missing (%)0.0%
Memory size388.0 B
Minimum2012-05-09 00:00:00
Maximum2024-01-04 00:00:00
2024-03-16T13:22:14.303024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:22:14.445524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)

사업자명
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2024-03-16T13:22:14.619683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length8.21875
Min length3

Characters and Unicode

Total characters263
Distinct characters72
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)100.0%

Sample

1st row파일천국
2nd row주식회사 메타크루
3rd row주식회사 개미소프트
4th row주식회사 엠버스랩
5th row(주)에프디원
ValueCountFrequency (%)
주식회사 11
25.0%
파일천국 1
 
2.3%
몬스터주식회사 1
 
2.3%
주)유뷰소프트 1
 
2.3%
주)티플미디어 1
 
2.3%
엠엔티 1
 
2.3%
우리들 1
 
2.3%
쉬프트 1
 
2.3%
주)스마트크루 1
 
2.3%
주)케이앤피네트웍스 1
 
2.3%
Other values (24) 24
54.5%
2024-03-16T13:22:14.928022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 27
 
10.3%
) 15
 
5.7%
( 15
 
5.7%
이 13
 
4.9%
식 12
 
4.6%
회 12
 
4.6%
사 12
 
4.6%
12
 
4.6%
스 12
 
4.6%
트 9
 
3.4%
Other values (62) 124
47.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 220
83.7%
Close Punctuation 15
 
5.7%
Open Punctuation 15
 
5.7%
Space Separator 12
 
4.6%
Other Symbol 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 27
 
12.3%
이 13
 
5.9%
식 12
 
5.5%
회 12
 
5.5%
사 12
 
5.5%
스 12
 
5.5%
트 9
 
4.1%
디 7
 
3.2%
티 5
 
2.3%
에 5
 
2.3%
Other values (58) 106
48.2%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Space Separator
ValueCountFrequency (%)
12
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 221
84.0%
Common 42
 
16.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 27
 
12.2%
이 13
 
5.9%
식 12
 
5.4%
회 12
 
5.4%
사 12
 
5.4%
스 12
 
5.4%
트 9
 
4.1%
디 7
 
3.2%
티 5
 
2.3%
에 5
 
2.3%
Other values (59) 107
48.4%
Common
ValueCountFrequency (%)
) 15
35.7%
( 15
35.7%
12
28.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 220
83.7%
ASCII 42
 
16.0%
None 1
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 27
 
12.3%
이 13
 
5.9%
식 12
 
5.5%
회 12
 
5.5%
사 12
 
5.5%
스 12
 
5.5%
트 9
 
4.1%
디 7
 
3.2%
티 5
 
2.3%
에 5
 
2.3%
Other values (58) 106
48.2%
ASCII
ValueCountFrequency (%)
) 15
35.7%
( 15
35.7%
12
28.6%
None
ValueCountFrequency (%)
㈜ 1
100.0%

사업자등록번호
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2024-03-16T13:22:15.140822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters384
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)100.0%

Sample

1st row195-81-02886
2nd row734-86-03007
3rd row691-81-02633
4th row418-86-02334
5th row130-86-80032
ValueCountFrequency (%)
195-81-02886 1
 
3.1%
734-86-03007 1
 
3.1%
128-81-87167 1
 
3.1%
119-86-39666 1
 
3.1%
142-81-05647 1
 
3.1%
211-88-38818 1
 
3.1%
122-86-21648 1
 
3.1%
211-86-51952 1
 
3.1%
144-81-16169 1
 
3.1%
113-86-75460 1
 
3.1%
Other values (22) 22
68.8%
2024-03-16T13:22:15.491040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 64
16.7%
8 57
14.8%
1 55
14.3%
6 40
10.4%
0 39
10.2%
2 28
7.3%
3 26
6.8%
5 22
 
5.7%
4 21
 
5.5%
7 17
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 320
83.3%
Dash Punctuation 64
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 57
17.8%
1 55
17.2%
6 40
12.5%
0 39
12.2%
2 28
8.8%
3 26
8.1%
5 22
 
6.9%
4 21
 
6.6%
7 17
 
5.3%
9 15
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 64
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 384
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 64
16.7%
8 57
14.8%
1 55
14.3%
6 40
10.4%
0 39
10.2%
2 28
7.3%
3 26
6.8%
5 22
 
5.7%
4 21
 
5.5%
7 17
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 384
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 64
16.7%
8 57
14.8%
1 55
14.3%
6 40
10.4%
0 39
10.2%
2 28
7.3%
3 26
6.8%
5 22
 
5.7%
4 21
 
5.5%
7 17
 
4.4%

사업종별
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size388.0 B
웹하드
30 
P2P
 
1
P2P 및 웹하드
 
1

Length

Max length9
Median length3
Mean length3.1875
Min length3

Unique

Unique2 ?
Unique (%)6.2%

Sample

1st rowP2P
2nd row웹하드
3rd row웹하드
4th row웹하드
5th row웹하드

Common Values

ValueCountFrequency (%)
웹하드 30
93.8%
P2P 1
 
3.1%
P2P 및 웹하드 1
 
3.1%

Length

2024-03-16T13:22:15.634515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-16T13:22:15.722392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
웹하드 31
91.2%
p2p 2
 
5.9%
및 1
 
2.9%

사이트(1)
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2024-03-16T13:22:15.911431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length82
Median length47.5
Mean length36.40625
Min length19

Characters and Unicode

Total characters1165
Distinct characters83
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

Unique32 ?
Unique (%)100.0%

Sample

1st row파일천국 fileheaven.net
2nd row메타파일 metafile.co.kr(pe.kr, kr)
3rd row앤트디스크 http://antdisk.kr
4th row파일캐스트 www.filecast.co.kr(kr, tv, me)
5th row오뜨 www.oottx.com(co.kr, kr, net, biz, info, me, co)
ValueCountFrequency (%)
kr 10
 
7.8%
tv 8
 
6.2%
co 7
 
5.4%
me 6
 
4.7%
biz 5
 
3.9%
pe.kr 3
 
2.3%
net 3
 
2.3%
co.kr 2
 
1.6%
or.kr 2
 
1.6%
asia 2
 
1.6%
Other values (79) 81
62.8%
2024-03-16T13:22:16.253946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 99
 
8.5%
97
 
8.3%
w 95
 
8.2%
o 71
 
6.1%
, 65
 
5.6%
e 64
 
5.5%
r 62
 
5.3%
k 59
 
5.1%
c 55
 
4.7%
i 50
 
4.3%
Other values (73) 448
38.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 725
62.2%
Other Punctuation 170
 
14.6%
Other Letter 118
 
10.1%
Space Separator 97
 
8.3%
Open Punctuation 26
 
2.2%
Close Punctuation 26
 
2.2%
Dash Punctuation 2
 
0.2%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
파 21
17.8%
일 21
17.8%
스 9
 
7.6%
디 7
 
5.9%
크 6
 
5.1%
트 3
 
2.5%
즈 2
 
1.7%
메 2
 
1.7%
오 2
 
1.7%
플 2
 
1.7%
Other values (39) 43
36.4%
Lowercase Letter
ValueCountFrequency (%)
w 95
13.1%
o 71
9.8%
e 64
 
8.8%
r 62
 
8.6%
k 59
 
8.1%
c 55
 
7.6%
i 50
 
6.9%
t 37
 
5.1%
m 36
 
5.0%
l 29
 
4.0%
Other values (15) 167
23.0%
Other Punctuation
ValueCountFrequency (%)
. 99
58.2%
, 65
38.2%
/ 4
 
2.4%
: 2
 
1.2%
Space Separator
ValueCountFrequency (%)
97
100.0%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 725
62.2%
Common 322
27.6%
Hangul 118
 
10.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
파 21
17.8%
일 21
17.8%
스 9
 
7.6%
디 7
 
5.9%
크 6
 
5.1%
트 3
 
2.5%
즈 2
 
1.7%
메 2
 
1.7%
오 2
 
1.7%
플 2
 
1.7%
Other values (39) 43
36.4%
Latin
ValueCountFrequency (%)
w 95
13.1%
o 71
9.8%
e 64
 
8.8%
r 62
 
8.6%
k 59
 
8.1%
c 55
 
7.6%
i 50
 
6.9%
t 37
 
5.1%
m 36
 
5.0%
l 29
 
4.0%
Other values (15) 167
23.0%
Common
ValueCountFrequency (%)
. 99
30.7%
97
30.1%
, 65
20.2%
( 26
 
8.1%
) 26
 
8.1%
/ 4
 
1.2%
: 2
 
0.6%
- 2
 
0.6%
2 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1047
89.9%
Hangul 118
 
10.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 99
 
9.5%
97
 
9.3%
w 95
 
9.1%
o 71
 
6.8%
, 65
 
6.2%
e 64
 
6.1%
r 62
 
5.9%
k 59
 
5.6%
c 55
 
5.3%
i 50
 
4.8%
Other values (24) 330
31.5%
Hangul
ValueCountFrequency (%)
파 21
17.8%
일 21
17.8%
스 9
 
7.6%
디 7
 
5.9%
크 6
 
5.1%
트 3
 
2.5%
즈 2
 
1.7%
메 2
 
1.7%
오 2
 
1.7%
플 2
 
1.7%
Other values (39) 43
36.4%

사이트(2)
Text

MISSING 

Distinct29
Distinct (%)100.0%
Missing3
Missing (%)9.4%
Memory size388.0 B
2024-03-16T13:22:16.493002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length79
Median length39
Mean length34.206897
Min length18

Characters and Unicode

Total characters992
Distinct characters76
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

Unique29 ?
Unique (%)100.0%

Sample

1st row파일천국(M) m.fileheaven.net
2nd row메타파일(M) m.metafile.co.kr(pe.kr, kr)
3rd row앤트디스크(M) m.antdisk.kr
4th row파일캐스트(M) m.filecast.co.kr(kr)
5th row오뜨(M) m.oottx.com(co.kr, kr, net, biz, info, me, co)
ValueCountFrequency (%)
kr 7
 
6.7%
biz 5
 
4.8%
me 4
 
3.8%
tv 4
 
3.8%
co 4
 
3.8%
net 3
 
2.9%
pe.kr 3
 
2.9%
info 2
 
1.9%
org 2
 
1.9%
m.ozfile.net 1
 
1.0%
Other values (69) 69
66.3%
2024-03-16T13:22:16.871840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 88
 
8.9%
75
 
7.6%
m 60
 
6.0%
o 58
 
5.8%
e 55
 
5.5%
k 50
 
5.0%
r 49
 
4.9%
( 47
 
4.7%
) 47
 
4.7%
, 46
 
4.6%
Other values (66) 417
42.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 549
55.3%
Other Punctuation 134
 
13.5%
Other Letter 110
 
11.1%
Space Separator 75
 
7.6%
Open Punctuation 47
 
4.7%
Close Punctuation 47
 
4.7%
Uppercase Letter 27
 
2.7%
Dash Punctuation 2
 
0.2%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
파 20
18.2%
일 20
18.2%
스 9
 
8.2%
디 7
 
6.4%
크 6
 
5.5%
트 3
 
2.7%
이 2
 
1.8%
투 2
 
1.8%
즈 2
 
1.8%
마 2
 
1.8%
Other values (33) 37
33.6%
Lowercase Letter
ValueCountFrequency (%)
m 60
10.9%
o 58
10.6%
e 55
10.0%
k 50
9.1%
r 49
8.9%
i 44
 
8.0%
c 40
 
7.3%
t 25
 
4.6%
f 25
 
4.6%
l 25
 
4.6%
Other values (15) 118
21.5%
Other Punctuation
ValueCountFrequency (%)
. 88
65.7%
, 46
34.3%
Space Separator
ValueCountFrequency (%)
75
100.0%
Open Punctuation
ValueCountFrequency (%)
( 47
100.0%
Close Punctuation
ValueCountFrequency (%)
) 47
100.0%
Uppercase Letter
ValueCountFrequency (%)
M 27
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 576
58.1%
Common 306
30.8%
Hangul 110
 
11.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
파 20
18.2%
일 20
18.2%
스 9
 
8.2%
디 7
 
6.4%
크 6
 
5.5%
트 3
 
2.7%
이 2
 
1.8%
투 2
 
1.8%
즈 2
 
1.8%
마 2
 
1.8%
Other values (33) 37
33.6%
Latin
ValueCountFrequency (%)
m 60
10.4%
o 58
10.1%
e 55
 
9.5%
k 50
 
8.7%
r 49
 
8.5%
i 44
 
7.6%
c 40
 
6.9%
M 27
 
4.7%
t 25
 
4.3%
f 25
 
4.3%
Other values (16) 143
24.8%
Common
ValueCountFrequency (%)
. 88
28.8%
75
24.5%
( 47
15.4%
) 47
15.4%
, 46
15.0%
- 2
 
0.7%
2 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 882
88.9%
Hangul 110
 
11.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 88
 
10.0%
75
 
8.5%
m 60
 
6.8%
o 58
 
6.6%
e 55
 
6.2%
k 50
 
5.7%
r 49
 
5.6%
( 47
 
5.3%
) 47
 
5.3%
, 46
 
5.2%
Other values (23) 307
34.8%
Hangul
ValueCountFrequency (%)
파 20
18.2%
일 20
18.2%
스 9
 
8.2%
디 7
 
6.4%
크 6
 
5.5%
트 3
 
2.7%
이 2
 
1.8%
투 2
 
1.8%
즈 2
 
1.8%
마 2
 
1.8%
Other values (33) 37
33.6%

사이트(3)
Text

MISSING 

Distinct6
Distinct (%)100.0%
Missing26
Missing (%)81.2%
Memory size388.0 B
2024-03-16T13:22:17.026150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length26
Mean length33.5
Min length20

Characters and Unicode

Total characters201
Distinct characters46
Distinct categories7 ?
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 (%)100.0%

Sample

1st row오렌지파일 orangefile.com
2nd row파일고수 www.filegosu.com
3rd row온디스크(M) m.ondisk.co.kr(org, tv, com, io, site, biz, co, info, me)
4th row쉐어박스 www.sharebox.co.kr(ne.kr)
5th row애플파일(M) m.applefile.com(co.kr, kr, net, tv)
ValueCountFrequency (%)
tv 2
 
8.7%
오렌지파일 1
 
4.3%
info 1
 
4.3%
토토디스크 1
 
4.3%
net 1
 
4.3%
kr 1
 
4.3%
m.applefile.com(co.kr 1
 
4.3%
애플파일(m 1
 
4.3%
www.sharebox.co.kr(ne.kr 1
 
4.3%
쉐어박스 1
 
4.3%
Other values (12) 12
52.2%
2024-03-16T13:22:17.353528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 18
 
9.0%
17
 
8.5%
. 15
 
7.5%
, 11
 
5.5%
e 10
 
5.0%
c 9
 
4.5%
w 9
 
4.5%
i 9
 
4.5%
r 8
 
4.0%
m 8
 
4.0%
Other values (36) 87
43.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 120
59.7%
Other Punctuation 26
 
12.9%
Other Letter 26
 
12.9%
Space Separator 17
 
8.5%
Close Punctuation 5
 
2.5%
Open Punctuation 5
 
2.5%
Uppercase Letter 2
 
1.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 18
15.0%
e 10
 
8.3%
c 9
 
7.5%
w 9
 
7.5%
i 9
 
7.5%
r 8
 
6.7%
m 8
 
6.7%
k 7
 
5.8%
t 6
 
5.0%
s 5
 
4.2%
Other values (13) 31
25.8%
Other Letter
ValueCountFrequency (%)
스 3
11.5%
일 3
11.5%
파 3
11.5%
크 2
 
7.7%
토 2
 
7.7%
디 2
 
7.7%
플 1
 
3.8%
애 1
 
3.8%
어 1
 
3.8%
박 1
 
3.8%
Other values (7) 7
26.9%
Other Punctuation
ValueCountFrequency (%)
. 15
57.7%
, 11
42.3%
Space Separator
ValueCountFrequency (%)
17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Uppercase Letter
ValueCountFrequency (%)
M 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 122
60.7%
Common 53
26.4%
Hangul 26
 
12.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 18
14.8%
e 10
 
8.2%
c 9
 
7.4%
w 9
 
7.4%
i 9
 
7.4%
r 8
 
6.6%
m 8
 
6.6%
k 7
 
5.7%
t 6
 
4.9%
s 5
 
4.1%
Other values (14) 33
27.0%
Hangul
ValueCountFrequency (%)
스 3
11.5%
일 3
11.5%
파 3
11.5%
크 2
 
7.7%
토 2
 
7.7%
디 2
 
7.7%
플 1
 
3.8%
애 1
 
3.8%
어 1
 
3.8%
박 1
 
3.8%
Other values (7) 7
26.9%
Common
ValueCountFrequency (%)
17
32.1%
. 15
28.3%
, 11
20.8%
) 5
 
9.4%
( 5
 
9.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 175
87.1%
Hangul 26
 
12.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 18
 
10.3%
17
 
9.7%
. 15
 
8.6%
, 11
 
6.3%
e 10
 
5.7%
c 9
 
5.1%
w 9
 
5.1%
i 9
 
5.1%
r 8
 
4.6%
m 8
 
4.6%
Other values (19) 61
34.9%
Hangul
ValueCountFrequency (%)
스 3
11.5%
일 3
11.5%
파 3
11.5%
크 2
 
7.7%
토 2
 
7.7%
디 2
 
7.7%
플 1
 
3.8%
애 1
 
3.8%
어 1
 
3.8%
박 1
 
3.8%
Other values (7) 7
26.9%

사이트(4)
Text

MISSING 

Distinct6
Distinct (%)100.0%
Missing26
Missing (%)81.2%
Memory size388.0 B
2024-03-16T13:22:17.533354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length30.5
Mean length34.666667
Min length22

Characters and Unicode

Total characters208
Distinct characters46
Distinct categories7 ?
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 (%)100.0%

Sample

1st row오렌지파일(M) orangefile.com/mobile
2nd row파일고수(M) m.filegosu.com
3rd row케이디스크(M) m.kdisk.co.kr(me, com, net, org, site, biz, io, info)
4th row쉐어박스(M) m.sharebox.co.kr(ne.kr)
5th row예스파일(M) m.yesfile.com(co.kr, co, kr, tv)
ValueCountFrequency (%)
오렌지파일(m 1
 
4.5%
orangefile.com/mobile 1
 
4.5%
토토디스크(m 1
 
4.5%
tv 1
 
4.5%
kr 1
 
4.5%
co 1
 
4.5%
m.yesfile.com(co.kr 1
 
4.5%
예스파일(m 1
 
4.5%
m.sharebox.co.kr(ne.kr 1
 
4.5%
쉐어박스(m 1
 
4.5%
Other values (12) 12
54.5%
2024-03-16T13:22:17.852093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 18
 
8.7%
16
 
7.7%
. 15
 
7.2%
m 12
 
5.8%
e 11
 
5.3%
, 10
 
4.8%
i 10
 
4.8%
( 9
 
4.3%
) 9
 
4.3%
c 9
 
4.3%
Other values (36) 89
42.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 115
55.3%
Other Letter 27
 
13.0%
Other Punctuation 26
 
12.5%
Space Separator 16
 
7.7%
Open Punctuation 9
 
4.3%
Close Punctuation 9
 
4.3%
Uppercase Letter 6
 
2.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 18
15.7%
m 12
10.4%
e 11
9.6%
i 10
8.7%
c 9
 
7.8%
k 8
 
7.0%
r 8
 
7.0%
s 6
 
5.2%
t 5
 
4.3%
f 4
 
3.5%
Other values (12) 24
20.9%
Other Letter
ValueCountFrequency (%)
스 4
14.8%
파 3
11.1%
일 3
11.1%
디 2
 
7.4%
크 2
 
7.4%
토 2
 
7.4%
예 1
 
3.7%
박 1
 
3.7%
어 1
 
3.7%
쉐 1
 
3.7%
Other values (7) 7
25.9%
Other Punctuation
ValueCountFrequency (%)
. 15
57.7%
, 10
38.5%
/ 1
 
3.8%
Space Separator
ValueCountFrequency (%)
16
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Uppercase Letter
ValueCountFrequency (%)
M 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 121
58.2%
Common 60
28.8%
Hangul 27
 
13.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 18
14.9%
m 12
9.9%
e 11
 
9.1%
i 10
 
8.3%
c 9
 
7.4%
k 8
 
6.6%
r 8
 
6.6%
s 6
 
5.0%
M 6
 
5.0%
t 5
 
4.1%
Other values (13) 28
23.1%
Hangul
ValueCountFrequency (%)
스 4
14.8%
파 3
11.1%
일 3
11.1%
디 2
 
7.4%
크 2
 
7.4%
토 2
 
7.4%
예 1
 
3.7%
박 1
 
3.7%
어 1
 
3.7%
쉐 1
 
3.7%
Other values (7) 7
25.9%
Common
ValueCountFrequency (%)
16
26.7%
. 15
25.0%
, 10
16.7%
( 9
15.0%
) 9
15.0%
/ 1
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 181
87.0%
Hangul 27
 
13.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 18
 
9.9%
16
 
8.8%
. 15
 
8.3%
m 12
 
6.6%
e 11
 
6.1%
, 10
 
5.5%
i 10
 
5.5%
( 9
 
5.0%
) 9
 
5.0%
c 9
 
5.0%
Other values (19) 62
34.3%
Hangul
ValueCountFrequency (%)
스 4
14.8%
파 3
11.1%
일 3
11.1%
디 2
 
7.4%
크 2
 
7.4%
토 2
 
7.4%
예 1
 
3.7%
박 1
 
3.7%
어 1
 
3.7%
쉐 1
 
3.7%
Other values (7) 7
25.9%

사이트(5)
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing31
Missing (%)96.9%
Memory size388.0 B
2024-03-16T13:22:17.989185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length24
Mean length24
Min length24

Characters and Unicode

Total characters24
Distinct characters14
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row유시시 www.ucc.co.kr(ne.kr)
ValueCountFrequency (%)
유시시 1
50.0%
www.ucc.co.kr(ne.kr 1
50.0%
2024-03-16T13:22:18.296714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 4
16.7%
w 3
12.5%
c 3
12.5%
시 2
8.3%
k 2
8.3%
r 2
8.3%
유 1
 
4.2%
1
 
4.2%
u 1
 
4.2%
o 1
 
4.2%
Other values (4) 4
16.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 14
58.3%
Other Punctuation 4
 
16.7%
Other Letter 3
 
12.5%
Space Separator 1
 
4.2%
Open Punctuation 1
 
4.2%
Close Punctuation 1
 
4.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 3
21.4%
c 3
21.4%
k 2
14.3%
r 2
14.3%
u 1
 
7.1%
o 1
 
7.1%
n 1
 
7.1%
e 1
 
7.1%
Other Letter
ValueCountFrequency (%)
시 2
66.7%
유 1
33.3%
Other Punctuation
ValueCountFrequency (%)
. 4
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 14
58.3%
Common 7
29.2%
Hangul 3
 
12.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 3
21.4%
c 3
21.4%
k 2
14.3%
r 2
14.3%
u 1
 
7.1%
o 1
 
7.1%
n 1
 
7.1%
e 1
 
7.1%
Common
ValueCountFrequency (%)
. 4
57.1%
1
 
14.3%
( 1
 
14.3%
) 1
 
14.3%
Hangul
ValueCountFrequency (%)
시 2
66.7%
유 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 21
87.5%
Hangul 3
 
12.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 4
19.0%
w 3
14.3%
c 3
14.3%
k 2
9.5%
r 2
9.5%
1
 
4.8%
u 1
 
4.8%
o 1
 
4.8%
( 1
 
4.8%
n 1
 
4.8%
Other values (2) 2
9.5%
Hangul
ValueCountFrequency (%)
시 2
66.7%
유 1
33.3%

사이트(6)
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing31
Missing (%)96.9%
Memory size388.0 B
2024-03-16T13:22:18.426418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters25
Distinct characters15
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row유시시(M) m.ucc.co.kr(ne.kr)
ValueCountFrequency (%)
유시시(m 1
50.0%
m.ucc.co.kr(ne.kr 1
50.0%
2024-03-16T13:22:18.676610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 4
16.0%
c 3
12.0%
시 2
 
8.0%
( 2
 
8.0%
) 2
 
8.0%
k 2
 
8.0%
r 2
 
8.0%
유 1
 
4.0%
M 1
 
4.0%
1
 
4.0%
Other values (5) 5
20.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 12
48.0%
Other Punctuation 4
 
16.0%
Other Letter 3
 
12.0%
Open Punctuation 2
 
8.0%
Close Punctuation 2
 
8.0%
Uppercase Letter 1
 
4.0%
Space Separator 1
 
4.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
c 3
25.0%
k 2
16.7%
r 2
16.7%
m 1
 
8.3%
u 1
 
8.3%
o 1
 
8.3%
n 1
 
8.3%
e 1
 
8.3%
Other Letter
ValueCountFrequency (%)
시 2
66.7%
유 1
33.3%
Other Punctuation
ValueCountFrequency (%)
. 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Uppercase Letter
ValueCountFrequency (%)
M 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 13
52.0%
Common 9
36.0%
Hangul 3
 
12.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
c 3
23.1%
k 2
15.4%
r 2
15.4%
M 1
 
7.7%
m 1
 
7.7%
u 1
 
7.7%
o 1
 
7.7%
n 1
 
7.7%
e 1
 
7.7%
Common
ValueCountFrequency (%)
. 4
44.4%
( 2
22.2%
) 2
22.2%
1
 
11.1%
Hangul
ValueCountFrequency (%)
시 2
66.7%
유 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 22
88.0%
Hangul 3
 
12.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 4
18.2%
c 3
13.6%
( 2
9.1%
) 2
9.1%
k 2
9.1%
r 2
9.1%
M 1
 
4.5%
1
 
4.5%
m 1
 
4.5%
u 1
 
4.5%
Other values (3) 3
13.6%
Hangul
ValueCountFrequency (%)
시 2
66.7%
유 1
33.3%

Interactions

2024-03-16T13:22:13.406447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-16T13:22:18.773856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번관리관서등록일자사업자명사업자등록번호사업종별사이트(1)사이트(2)사이트(3)사이트(4)
순번1.0000.1320.9791.0001.0000.0001.0001.0001.0001.000
관리관서0.1321.0001.0001.0001.0000.9331.0001.0001.0001.000
등록일자0.9791.0001.0001.0001.0001.0001.0001.0001.0001.000
사업자명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
사업자등록번호1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
사업종별0.0000.9331.0001.0001.0001.0001.0001.0001.0001.000
사이트(1)1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
사이트(2)1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
사이트(3)1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
사이트(4)1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
2024-03-16T13:22:19.156452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업종별관리관서
사업종별1.0000.684
관리관서0.6841.000
2024-03-16T13:22:19.227054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번관리관서사업종별
순번1.0000.0000.000
관리관서0.0001.0000.684
사업종별0.0000.6841.000

Missing values

2024-03-16T13:22:13.524220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-16T13:22:13.659624image/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.
2024-03-16T13:22:13.779836image/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

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01서울전파관리소2024-01-04파일천국195-81-02886P2P파일천국 fileheaven.net파일천국(M) m.fileheaven.net오렌지파일 orangefile.com오렌지파일(M) orangefile.com/mobile<NA><NA>
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2223부산전파관리소2015-08-21주식회사 쉬프트617-86-13554웹하드투디스크 www.todisk.com(kr)투디스크(M) www.todisk.com(kr)토토디스크 www.totodisk.com토토디스크(M) m.totodisk.com<NA><NA>
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2425서울전파관리소2013-08-26몬스터주식회사144-81-16169웹하드파일쿠키 www.filekuki.com(net, co)파일쿠키(M) m.filekuki.com<NA><NA><NA><NA>
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2627서울전파관리소2012-05-17(주)제이엘에스커뮤니케이션122-86-21648웹하드파일조 www.filejo.com, https://extra.filejo.com파일조(M) m.filejo.com<NA><NA><NA><NA>
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2829서울전파관리소2012-05-16(주)선한아이디142-81-05647웹하드파일노리 www.filenori.com(cc, kr, co, or.kr, tv, asia, cm)파일노리(M) m.filenori.com<NA><NA><NA><NA>
2930서울전파관리소2012-05-11(주)티비이엔엠119-86-39666웹하드피디팝 www.pdpop.com(net)피디팝(M) m.pdpop.com<NA><NA><NA><NA>
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3132서울전파관리소2012-05-09주식회사 블루트리220-88-31556웹하드빅파일 www.bigfile.co.kr(biz)빅파일(M) m.bigfile.co.kr<NA><NA><NA><NA>