Overview

Dataset statistics

Number of variables5
Number of observations1175
Missing cells10
Missing cells (%)0.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory47.2 KiB
Average record size in memory41.1 B

Variable types

Numeric1
Text2
DateTime1
Categorical1

Dataset

Description과학기술정보통신부 중앙전파관리소 특수부가통신사업자(인터넷발송문자서비스) 통신사업자 현황 데이터를 제공합니다.(사업자명, 사업자등록번호, 등록일자, 관리기관)
Author과학기술정보통신부 중앙전파관리소
URLhttps://www.data.go.kr/data/15028844/fileData.do

Alerts

관리기관 is highly imbalanced (62.0%)Imbalance
순번 has unique valuesUnique

Reproduction

Analysis started2024-03-16 04:13:43.676210
Analysis finished2024-03-16 04:13:44.798510
Duration1.12 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct1175
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean588
Minimum1
Maximum1175
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-03-16T13:13:44.925666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile59.7
Q1294.5
median588
Q3881.5
95-th percentile1116.3
Maximum1175
Range1174
Interquartile range (IQR)587

Descriptive statistics

Standard deviation339.33759
Coefficient of variation (CV)0.57710474
Kurtosis-1.2
Mean588
Median Absolute Deviation (MAD)294
Skewness0
Sum690900
Variance115150
MonotonicityStrictly increasing
2024-03-16T13:13:45.213259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
773 1
 
0.1%
789 1
 
0.1%
788 1
 
0.1%
787 1
 
0.1%
786 1
 
0.1%
785 1
 
0.1%
784 1
 
0.1%
783 1
 
0.1%
782 1
 
0.1%
Other values (1165) 1165
99.1%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
1175 1
0.1%
1174 1
0.1%
1173 1
0.1%
1172 1
0.1%
1171 1
0.1%
1170 1
0.1%
1169 1
0.1%
1168 1
0.1%
1167 1
0.1%
1166 1
0.1%

상호
Text

Distinct1173
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Memory size9.3 KiB
2024-03-16T13:13:45.734013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length21
Mean length8.0553191
Min length2

Characters and Unicode

Total characters9465
Distinct characters503
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

Unique1171 ?
Unique (%)99.7%

Sample

1st row코드랩
2nd row(주)한우리아이티
3rd row(주)문자큐
4th row주식회사 더제이디와이
5th row주식회사골드핸즈
ValueCountFrequency (%)
주식회사 398
 
24.6%
주 9
 
0.6%
유한회사 8
 
0.5%
문자 4
 
0.2%
컴퍼니 3
 
0.2%
유한책임회사 3
 
0.2%
위예스 2
 
0.1%
inc 2
 
0.1%
소프트 2
 
0.1%
문자플렉스 2
 
0.1%
Other values (1183) 1184
73.2%
2024-03-16T13:13:46.603614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 889
 
9.4%
사 481
 
5.1%
회 468
 
4.9%
식 457
 
4.8%
443
 
4.7%
) 439
 
4.6%
( 439
 
4.6%
이 389
 
4.1%
스 346
 
3.7%
트 191
 
2.0%
Other values (493) 4923
52.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7998
84.5%
Space Separator 443
 
4.7%
Close Punctuation 439
 
4.6%
Open Punctuation 439
 
4.6%
Lowercase Letter 66
 
0.7%
Uppercase Letter 38
 
0.4%
Decimal Number 30
 
0.3%
Other Symbol 6
 
0.1%
Other Punctuation 5
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 889
 
11.1%
사 481
 
6.0%
회 468
 
5.9%
식 457
 
5.7%
이 389
 
4.9%
스 346
 
4.3%
트 191
 
2.4%
에 156
 
2.0%
아 132
 
1.7%
프 131
 
1.6%
Other values (440) 4358
54.5%
Uppercase Letter
ValueCountFrequency (%)
S 4
 
10.5%
C 3
 
7.9%
G 3
 
7.9%
D 3
 
7.9%
I 3
 
7.9%
T 3
 
7.9%
H 3
 
7.9%
K 2
 
5.3%
R 2
 
5.3%
L 2
 
5.3%
Other values (10) 10
26.3%
Lowercase Letter
ValueCountFrequency (%)
s 7
10.6%
m 7
10.6%
c 5
 
7.6%
n 5
 
7.6%
e 5
 
7.6%
i 5
 
7.6%
a 4
 
6.1%
t 4
 
6.1%
o 4
 
6.1%
l 4
 
6.1%
Other values (9) 16
24.2%
Decimal Number
ValueCountFrequency (%)
2 5
16.7%
1 5
16.7%
5 5
16.7%
6 5
16.7%
3 5
16.7%
4 4
13.3%
8 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 3
60.0%
& 2
40.0%
Space Separator
ValueCountFrequency (%)
443
100.0%
Close Punctuation
ValueCountFrequency (%)
) 439
100.0%
Open Punctuation
ValueCountFrequency (%)
( 439
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8004
84.6%
Common 1357
 
14.3%
Latin 104
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 889
 
11.1%
사 481
 
6.0%
회 468
 
5.8%
식 457
 
5.7%
이 389
 
4.9%
스 346
 
4.3%
트 191
 
2.4%
에 156
 
1.9%
아 132
 
1.6%
프 131
 
1.6%
Other values (441) 4364
54.5%
Latin
ValueCountFrequency (%)
s 7
 
6.7%
m 7
 
6.7%
c 5
 
4.8%
n 5
 
4.8%
e 5
 
4.8%
i 5
 
4.8%
S 4
 
3.8%
a 4
 
3.8%
t 4
 
3.8%
o 4
 
3.8%
Other values (29) 54
51.9%
Common
ValueCountFrequency (%)
443
32.6%
) 439
32.4%
( 439
32.4%
2 5
 
0.4%
1 5
 
0.4%
5 5
 
0.4%
6 5
 
0.4%
3 5
 
0.4%
4 4
 
0.3%
. 3
 
0.2%
Other values (3) 4
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7998
84.5%
ASCII 1461
 
15.4%
None 6
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 889
 
11.1%
사 481
 
6.0%
회 468
 
5.9%
식 457
 
5.7%
이 389
 
4.9%
스 346
 
4.3%
트 191
 
2.4%
에 156
 
2.0%
아 132
 
1.7%
프 131
 
1.6%
Other values (440) 4358
54.5%
ASCII
ValueCountFrequency (%)
443
30.3%
) 439
30.0%
( 439
30.0%
s 7
 
0.5%
m 7
 
0.5%
2 5
 
0.3%
1 5
 
0.3%
c 5
 
0.3%
n 5
 
0.3%
e 5
 
0.3%
Other values (42) 101
 
6.9%
None
ValueCountFrequency (%)
㈜ 6
100.0%

사업자등록번호
Text

Distinct1162
Distinct (%)99.7%
Missing10
Missing (%)0.9%
Memory size9.3 KiB
2024-03-16T13:13:46.978500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters13980
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

Unique1159 ?
Unique (%)99.5%

Sample

1st row891-22-00709
2nd row214-87-42371
3rd row556-87-03160
4th row391-88-03027
5th row192-88-02964
ValueCountFrequency (%)
129-23-86593 2
 
0.2%
113-86-12354 2
 
0.2%
352-87-01653 2
 
0.2%
220-86-85325 1
 
0.1%
128-04-99449 1
 
0.1%
105-87-47316 1
 
0.1%
379-86-00083 1
 
0.1%
687-81-00785 1
 
0.1%
120-87-64861 1
 
0.1%
837-81-00828 1
 
0.1%
Other values (1152) 1152
98.9%
2024-03-16T13:13:47.563631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 2330
16.7%
8 1816
13.0%
1 1808
12.9%
0 1663
11.9%
2 1246
8.9%
6 1108
7.9%
7 872
 
6.2%
3 842
 
6.0%
4 815
 
5.8%
5 782
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 11650
83.3%
Dash Punctuation 2330
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 1816
15.6%
1 1808
15.5%
0 1663
14.3%
2 1246
10.7%
6 1108
9.5%
7 872
7.5%
3 842
7.2%
4 815
7.0%
5 782
6.7%
9 698
 
6.0%
Dash Punctuation
ValueCountFrequency (%)
- 2330
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13980
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 2330
16.7%
8 1816
13.0%
1 1808
12.9%
0 1663
11.9%
2 1246
8.9%
6 1108
7.9%
7 872
 
6.2%
3 842
 
6.0%
4 815
 
5.8%
5 782
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13980
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 2330
16.7%
8 1816
13.0%
1 1808
12.9%
0 1663
11.9%
2 1246
8.9%
6 1108
7.9%
7 872
 
6.2%
3 842
 
6.0%
4 815
 
5.8%
5 782
 
5.6%

최초등록일자
Date

Distinct661
Distinct (%)56.3%
Missing0
Missing (%)0.0%
Memory size9.3 KiB
Minimum2015-08-12 00:00:00
Maximum2024-02-29 00:00:00
2024-03-16T13:13:47.807616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:13:48.094218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

관리기관
Categorical

IMBALANCE 

Distinct10
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size9.3 KiB
서울전파관리소
915 
부산전파관리소
113 
대구전파관리소
 
55
광주전파관리소
 
45
대전전파관리소
 
24
Other values (5)
 
23

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서울전파관리소 915
77.9%
부산전파관리소 113
 
9.6%
대구전파관리소 55
 
4.7%
광주전파관리소 45
 
3.8%
대전전파관리소 24
 
2.0%
전주전파관리소 8
 
0.7%
강릉전파관리소 6
 
0.5%
청주전파관리소 4
 
0.3%
제주전파관리소 3
 
0.3%
울산전파관리소 2
 
0.2%

Length

2024-03-16T13:13:48.373086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-16T13:13:48.581865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울전파관리소 915
77.9%
부산전파관리소 113
 
9.6%
대구전파관리소 55
 
4.7%
광주전파관리소 45
 
3.8%
대전전파관리소 24
 
2.0%
전주전파관리소 8
 
0.7%
강릉전파관리소 6
 
0.5%
청주전파관리소 4
 
0.3%
제주전파관리소 3
 
0.3%
울산전파관리소 2
 
0.2%

Interactions

2024-03-16T13:13:44.243297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-16T13:13:48.717492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번관리기관
순번1.0000.183
관리기관0.1831.000
2024-03-16T13:13:48.837272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번관리기관
순번1.0000.057
관리기관0.0571.000

Missing values

2024-03-16T13:13:44.559089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-16T13:13:44.737050image/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.

Sample

순번상호사업자등록번호최초등록일자관리기관
01코드랩891-22-007092024-02-29광주전파관리소
12(주)한우리아이티214-87-423712024-02-27서울전파관리소
23(주)문자큐556-87-031602024-02-19서울전파관리소
34주식회사 더제이디와이391-88-030272024-02-19서울전파관리소
45주식회사골드핸즈192-88-029642024-02-13부산전파관리소
56퍼플로어라인198-64-006482024-02-06서울전파관리소
67주식회사 플러스윈323-81-010462024-01-30서울전파관리소
78주식회사 황소컴퍼니304-88-028732024-01-22광주전파관리소
89주식회사 팁솔루션599-86-030592024-01-19서울전파관리소
910(주)문자월드472-81-029012024-01-19서울전파관리소
순번상호사업자등록번호최초등록일자관리기관
11651166영시스606-02-722282015-09-04대구전파관리소
11661167엔에이치엔커머스(주)120-86-469112015-09-03서울전파관리소
11671168(주)피알컴퍼니214-88-080452015-09-03서울전파관리소
11681169(주)씨앤에이커뮤니케이션즈220-88-624802015-08-28서울전파관리소
11691170(주)케이스카이비113-86-123542015-08-28서울전파관리소
11701171(주)예드림티피에스113-86-061862015-08-28서울전파관리소
11711172마준소프트(주)220-86-182962015-08-21서울전파관리소
11721173좋은소식110-10-239492015-08-21서울전파관리소
11731174(주)한메디117-81-286062015-08-12서울전파관리소
11741175㈜이너컴119-86-200182015-08-12서울전파관리소