Overview

Dataset statistics

Number of variables5
Number of observations578
Missing cells216
Missing cells (%)7.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory23.3 KiB
Average record size in memory41.2 B

Variable types

Numeric1
Text2
DateTime1
Categorical1

Dataset

Description과학기술정보통신부 중앙전파관리소 기간(회선설비 미보유)통신사업자 현황 데이터를 제공합니다.(사업자명, 사업자등록번호, 등록일자, 관리기관)
Author과학기술정보통신부 중앙전파관리소
URLhttps://www.data.go.kr/data/15028842/fileData.do

Alerts

관리기관 is highly imbalanced (73.0%)Imbalance
사업자등록번호 has 216 (37.4%) missing valuesMissing
순번 has unique valuesUnique
상호 has unique valuesUnique

Reproduction

Analysis started2024-03-16 04:15:03.444261
Analysis finished2024-03-16 04:15:04.783427
Duration1.34 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct578
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean289.5
Minimum1
Maximum578
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.2 KiB
2024-03-16T13:15:04.935848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile29.85
Q1145.25
median289.5
Q3433.75
95-th percentile549.15
Maximum578
Range577
Interquartile range (IQR)288.5

Descriptive statistics

Standard deviation166.9985
Coefficient of variation (CV)0.57685148
Kurtosis-1.2
Mean289.5
Median Absolute Deviation (MAD)144.5
Skewness0
Sum167331
Variance27888.5
MonotonicityStrictly increasing
2024-03-16T13:15:05.166148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
435 1
 
0.2%
383 1
 
0.2%
384 1
 
0.2%
385 1
 
0.2%
386 1
 
0.2%
387 1
 
0.2%
388 1
 
0.2%
389 1
 
0.2%
390 1
 
0.2%
Other values (568) 568
98.3%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
578 1
0.2%
577 1
0.2%
576 1
0.2%
575 1
0.2%
574 1
0.2%
573 1
0.2%
572 1
0.2%
571 1
0.2%
570 1
0.2%
569 1
0.2%

상호
Text

UNIQUE 

Distinct578
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
2024-03-16T13:15:05.587138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length20
Mean length8.6608997
Min length2

Characters and Unicode

Total characters5006
Distinct characters372
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique578 ?
Unique (%)100.0%

Sample

1st row주식회사 이테크시스템
2nd row주식회사 아이엠에스커넥트
3rd row지엠아시아퍼시픽지역본부 주식회사
4th row주식회사 솔트룩스이노베이션
5th row주식회사 엑스마인드
ValueCountFrequency (%)
주식회사 132
 
17.8%
유한회사 14
 
1.9%
유한책임회사 6
 
0.8%
주 3
 
0.4%
주)딜라이브 2
 
0.3%
㈜일우인터내셔날 1
 
0.1%
한국정보통신㈜ 1
 
0.1%
㈜씽크에이티 1
 
0.1%
㈜티에이텔레콤 1
 
0.1%
㈜나우테스테크놀로지 1
 
0.1%
Other values (579) 579
78.1%
2024-03-16T13:15:06.415593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 373
 
7.5%
이 239
 
4.8%
스 228
 
4.6%
( 217
 
4.3%
) 217
 
4.3%
사 188
 
3.8%
회 181
 
3.6%
163
 
3.3%
식 159
 
3.2%
㈜ 156
 
3.1%
Other values (362) 2885
57.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4208
84.1%
Open Punctuation 217
 
4.3%
Close Punctuation 217
 
4.3%
Space Separator 163
 
3.3%
Other Symbol 156
 
3.1%
Uppercase Letter 28
 
0.6%
Lowercase Letter 11
 
0.2%
Other Punctuation 3
 
0.1%
Decimal Number 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 373
 
8.9%
이 239
 
5.7%
스 228
 
5.4%
사 188
 
4.5%
회 181
 
4.3%
식 159
 
3.8%
아 113
 
2.7%
에 103
 
2.4%
리 73
 
1.7%
티 67
 
1.6%
Other values (331) 2484
59.0%
Uppercase Letter
ValueCountFrequency (%)
T 5
17.9%
K 4
14.3%
C 4
14.3%
O 2
 
7.1%
V 2
 
7.1%
J 2
 
7.1%
N 2
 
7.1%
M 1
 
3.6%
L 1
 
3.6%
W 1
 
3.6%
Other values (4) 4
14.3%
Lowercase Letter
ValueCountFrequency (%)
o 3
27.3%
s 2
18.2%
l 1
 
9.1%
b 1
 
9.1%
i 1
 
9.1%
e 1
 
9.1%
t 1
 
9.1%
d 1
 
9.1%
Decimal Number
ValueCountFrequency (%)
1 1
33.3%
5 1
33.3%
3 1
33.3%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
, 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 217
100.0%
Close Punctuation
ValueCountFrequency (%)
) 217
100.0%
Space Separator
ValueCountFrequency (%)
163
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 156
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4364
87.2%
Common 603
 
12.0%
Latin 39
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 373
 
8.5%
이 239
 
5.5%
스 228
 
5.2%
사 188
 
4.3%
회 181
 
4.1%
식 159
 
3.6%
㈜ 156
 
3.6%
아 113
 
2.6%
에 103
 
2.4%
리 73
 
1.7%
Other values (332) 2551
58.5%
Latin
ValueCountFrequency (%)
T 5
12.8%
K 4
 
10.3%
C 4
 
10.3%
o 3
 
7.7%
O 2
 
5.1%
s 2
 
5.1%
V 2
 
5.1%
J 2
 
5.1%
N 2
 
5.1%
l 1
 
2.6%
Other values (12) 12
30.8%
Common
ValueCountFrequency (%)
( 217
36.0%
) 217
36.0%
163
27.0%
. 2
 
0.3%
, 1
 
0.2%
1 1
 
0.2%
5 1
 
0.2%
3 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4208
84.1%
ASCII 642
 
12.8%
None 156
 
3.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 373
 
8.9%
이 239
 
5.7%
스 228
 
5.4%
사 188
 
4.5%
회 181
 
4.3%
식 159
 
3.8%
아 113
 
2.7%
에 103
 
2.4%
리 73
 
1.7%
티 67
 
1.6%
Other values (331) 2484
59.0%
ASCII
ValueCountFrequency (%)
( 217
33.8%
) 217
33.8%
163
25.4%
T 5
 
0.8%
K 4
 
0.6%
C 4
 
0.6%
o 3
 
0.5%
O 2
 
0.3%
. 2
 
0.3%
s 2
 
0.3%
Other values (20) 23
 
3.6%
None
ValueCountFrequency (%)
㈜ 156
100.0%

사업자등록번호
Text

MISSING 

Distinct362
Distinct (%)100.0%
Missing216
Missing (%)37.4%
Memory size4.6 KiB
2024-03-16T13:15:07.038504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters4344
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

Unique362 ?
Unique (%)100.0%

Sample

1st row211-88-35257
2nd row279-87-00873
3rd row206-81-13378
4th row606-86-09521
5th row457-88-00897
ValueCountFrequency (%)
206-81-13378 1
 
0.3%
120-87-62733 1
 
0.3%
206-86-38729 1
 
0.3%
129-86-55101 1
 
0.3%
123-86-08032 1
 
0.3%
418-88-00311 1
 
0.3%
120-81-66080 1
 
0.3%
441-88-00330 1
 
0.3%
504-81-71888 1
 
0.3%
220-81-63442 1
 
0.3%
Other values (352) 352
97.2%
2024-03-16T13:15:07.692232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 724
16.7%
1 631
14.5%
8 614
14.1%
0 482
11.1%
6 347
8.0%
2 336
7.7%
7 283
 
6.5%
3 271
 
6.2%
4 229
 
5.3%
5 225
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3620
83.3%
Dash Punctuation 724
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 631
17.4%
8 614
17.0%
0 482
13.3%
6 347
9.6%
2 336
9.3%
7 283
7.8%
3 271
7.5%
4 229
 
6.3%
5 225
 
6.2%
9 202
 
5.6%
Dash Punctuation
ValueCountFrequency (%)
- 724
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4344
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 724
16.7%
1 631
14.5%
8 614
14.1%
0 482
11.1%
6 347
8.0%
2 336
7.7%
7 283
 
6.5%
3 271
 
6.2%
4 229
 
5.3%
5 225
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4344
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 724
16.7%
1 631
14.5%
8 614
14.1%
0 482
11.1%
6 347
8.0%
2 336
7.7%
7 283
 
6.5%
3 271
 
6.2%
4 229
 
5.3%
5 225
 
5.2%

등록일자
Date

Distinct496
Distinct (%)85.8%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
Minimum1998-01-31 00:00:00
Maximum2023-11-29 00:00:00
2024-03-16T13:15:07.916553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:15:08.122589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

관리기관
Categorical

IMBALANCE 

Distinct10
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
서울전파관리소
497 
부산전파관리소
 
40
대구전파관리소
 
15
대전전파관리소
 
12
광주전파관리소
 
4
Other values (5)
 
10

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
서울전파관리소 497
86.0%
부산전파관리소 40
 
6.9%
대구전파관리소 15
 
2.6%
대전전파관리소 12
 
2.1%
광주전파관리소 4
 
0.7%
전주전파관리소 3
 
0.5%
제주전파관리소 2
 
0.3%
강릉전파관리소 2
 
0.3%
청주전파관리소 2
 
0.3%
울산전파관리소 1
 
0.2%

Length

2024-03-16T13:15:08.316972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-16T13:15:08.497734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울전파관리소 497
86.0%
부산전파관리소 40
 
6.9%
대구전파관리소 15
 
2.6%
대전전파관리소 12
 
2.1%
광주전파관리소 4
 
0.7%
전주전파관리소 3
 
0.5%
제주전파관리소 2
 
0.3%
강릉전파관리소 2
 
0.3%
청주전파관리소 2
 
0.3%
울산전파관리소 1
 
0.2%

Interactions

2024-03-16T13:15:04.299600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-16T13:15:08.656565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번관리기관
순번1.0000.218
관리기관0.2181.000
2024-03-16T13:15:08.741472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번관리기관
순번1.0000.068
관리기관0.0681.000

Missing values

2024-03-16T13:15:04.497469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-16T13:15:04.706999image/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

순번상호사업자등록번호등록일자관리기관
01주식회사 이테크시스템211-88-352572023-11-29서울전파관리소
12주식회사 아이엠에스커넥트279-87-008732023-11-28서울전파관리소
23지엠아시아퍼시픽지역본부 주식회사206-81-133782023-10-31서울전파관리소
34주식회사 솔트룩스이노베이션606-86-095212023-10-26서울전파관리소
45주식회사 엑스마인드457-88-008972023-10-25서울전파관리소
56에이엠씨에스코리아 유한책임회사876-87-027792023-10-19서울전파관리소
67(주)글로벌머니익스프레스294-86-006142023-10-19서울전파관리소
78새트링크아시아 유한회사584-88-015622023-09-18부산전파관리소
89주식회사 와이에스케이네트웍스262-87-028542023-09-11서울전파관리소
910램스웨이 주식회사220-86-462782023-08-24서울전파관리소
순번상호사업자등록번호등록일자관리기관
568569옥성정보통신㈜<NA>1998-08-18서울전파관리소
569570한진정보통신㈜201-81-462531998-07-22서울전파관리소
570571㈜케이티<NA>1998-07-22서울전파관리소
571572삼성에스디에스㈜<NA>1998-06-22서울전파관리소
572573에스케이브로드밴드㈜<NA>1998-06-19서울전파관리소
573574메타넷디지털(주)104-81-188201998-05-22서울전파관리소
574575아이즈비전607-81-347701998-04-28서울전파관리소
575576에스케이텔링크㈜<NA>1998-04-28서울전파관리소
576577쌍용정보통신㈜<NA>1998-04-06서울전파관리소
577578(주)포스코디엑스<NA>1998-01-31대구전파관리소