Overview

Dataset statistics

Number of variables7
Number of observations10000
Missing cells8033
Missing cells (%)11.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory634.8 KiB
Average record size in memory65.0 B

Variable types

Numeric1
DateTime1
Text4
Categorical1

Dataset

Description과학기술정보통신부 중앙전파관리소 부가통신사업자 사업자 현황에 대한 데이터로 신고일, 사업자명, 사업자주소, 사업자등록번호, 관리기관 정보를 제공합니다.
Author과학기술정보통신부 중앙전파관리소
URLhttps://www.data.go.kr/data/15001446/fileData.do

Alerts

관리기관 is highly imbalanced (82.6%)Imbalance
도로명주소 has 423 (4.2%) missing valuesMissing
사업자등록번호 has 7604 (76.0%) missing valuesMissing
신고번호 has unique valuesUnique

Reproduction

Analysis started2024-03-16 04:14:20.767700
Analysis finished2024-03-16 04:14:23.716503
Duration2.95 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

신고번호
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7458.0802
Minimum1
Maximum14918
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-16T13:14:23.807126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile722.9
Q13731.75
median7447.5
Q311200.25
95-th percentile14178.05
Maximum14918
Range14917
Interquartile range (IQR)7468.5

Descriptive statistics

Standard deviation4321.8504
Coefficient of variation (CV)0.57948565
Kurtosis-1.2072993
Mean7458.0802
Median Absolute Deviation (MAD)3733
Skewness-0.0014067759
Sum74580802
Variance18678391
MonotonicityNot monotonic
2024-03-16T13:14:24.023016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4481 1
 
< 0.1%
342 1
 
< 0.1%
6476 1
 
< 0.1%
8270 1
 
< 0.1%
4401 1
 
< 0.1%
10072 1
 
< 0.1%
10672 1
 
< 0.1%
2086 1
 
< 0.1%
11933 1
 
< 0.1%
6516 1
 
< 0.1%
Other values (9990) 9990
99.9%
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%
9 1
< 0.1%
11 1
< 0.1%
12 1
< 0.1%
13 1
< 0.1%
ValueCountFrequency (%)
14918 1
< 0.1%
14917 1
< 0.1%
14915 1
< 0.1%
14914 1
< 0.1%
14913 1
< 0.1%
14912 1
< 0.1%
14911 1
< 0.1%
14910 1
< 0.1%
14909 1
< 0.1%
14908 1
< 0.1%

신고일자
Date

Distinct3453
Distinct (%)34.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum1991-01-29 00:00:00
Maximum2024-02-29 00:00:00
2024-03-16T13:14:24.213740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:14:24.384537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

사업자명
Text

Distinct9905
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-16T13:14:24.905337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length33
Mean length6.8353
Min length1

Characters and Unicode

Total characters68353
Distinct characters1021
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9818 ?
Unique (%)98.2%

Sample

1st row㈜액텔라
2nd row주식회사 트립비토즈
3rd row주식회사 피제이팩토리
4th row㈜퓨쳐위즈
5th row(주)인테넷서비스
ValueCountFrequency (%)
주식회사 858
 
7.6%
유한회사 51
 
0.4%
주 22
 
0.2%
유한책임회사 14
 
0.1%
농업회사법인 10
 
0.1%
the 8
 
0.1%
재단법인 7
 
0.1%
inc 6
 
0.1%
shop 5
 
< 0.1%
㈜ 5
 
< 0.1%
Other values (10170) 10366
91.3%
2024-03-16T13:14:26.727751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 2968
 
4.3%
이 2606
 
3.8%
) 2274
 
3.3%
( 2273
 
3.3%
스 2231
 
3.3%
㈜ 1712
 
2.5%
사 1473
 
2.2%
1353
 
2.0%
회 1158
 
1.7%
아 1138
 
1.7%
Other values (1011) 49167
71.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 54028
79.0%
Lowercase Letter 4504
 
6.6%
Close Punctuation 2274
 
3.3%
Open Punctuation 2273
 
3.3%
Uppercase Letter 1747
 
2.6%
Other Symbol 1712
 
2.5%
Space Separator 1353
 
2.0%
Decimal Number 255
 
0.4%
Other Punctuation 162
 
0.2%
Dash Punctuation 45
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 2968
 
5.5%
이 2606
 
4.8%
스 2231
 
4.1%
사 1473
 
2.7%
회 1158
 
2.1%
아 1138
 
2.1%
리 1093
 
2.0%
식 1051
 
1.9%
에 839
 
1.6%
트 824
 
1.5%
Other values (938) 38647
71.5%
Lowercase Letter
ValueCountFrequency (%)
o 463
 
10.3%
e 451
 
10.0%
a 370
 
8.2%
i 320
 
7.1%
s 319
 
7.1%
n 303
 
6.7%
l 263
 
5.8%
r 237
 
5.3%
t 210
 
4.7%
m 185
 
4.1%
Other values (16) 1383
30.7%
Uppercase Letter
ValueCountFrequency (%)
S 123
 
7.0%
E 119
 
6.8%
M 114
 
6.5%
O 112
 
6.4%
T 112
 
6.4%
A 105
 
6.0%
C 104
 
6.0%
N 100
 
5.7%
I 95
 
5.4%
L 90
 
5.2%
Other values (16) 673
38.5%
Decimal Number
ValueCountFrequency (%)
2 51
20.0%
1 48
18.8%
4 31
12.2%
3 23
9.0%
0 22
8.6%
6 20
 
7.8%
5 19
 
7.5%
8 14
 
5.5%
9 14
 
5.5%
7 13
 
5.1%
Other Punctuation
ValueCountFrequency (%)
. 111
68.5%
& 32
 
19.8%
, 10
 
6.2%
' 6
 
3.7%
/ 2
 
1.2%
? 1
 
0.6%
Close Punctuation
ValueCountFrequency (%)
) 2274
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2273
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1712
100.0%
Space Separator
ValueCountFrequency (%)
1353
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 45
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 55735
81.5%
Common 6362
 
9.3%
Latin 6251
 
9.1%
Han 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 2968
 
5.3%
이 2606
 
4.7%
스 2231
 
4.0%
㈜ 1712
 
3.1%
사 1473
 
2.6%
회 1158
 
2.1%
아 1138
 
2.0%
리 1093
 
2.0%
식 1051
 
1.9%
에 839
 
1.5%
Other values (935) 39466
70.8%
Latin
ValueCountFrequency (%)
o 463
 
7.4%
e 451
 
7.2%
a 370
 
5.9%
i 320
 
5.1%
s 319
 
5.1%
n 303
 
4.8%
l 263
 
4.2%
r 237
 
3.8%
t 210
 
3.4%
m 185
 
3.0%
Other values (42) 3130
50.1%
Common
ValueCountFrequency (%)
) 2274
35.7%
( 2273
35.7%
1353
21.3%
. 111
 
1.7%
2 51
 
0.8%
1 48
 
0.8%
- 45
 
0.7%
& 32
 
0.5%
4 31
 
0.5%
3 23
 
0.4%
Other values (10) 121
 
1.9%
Han
ValueCountFrequency (%)
美 2
40.0%
茶 1
20.0%
洙 1
20.0%
林 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 54023
79.0%
ASCII 12613
 
18.5%
None 1712
 
2.5%
CJK 4
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 2968
 
5.5%
이 2606
 
4.8%
스 2231
 
4.1%
사 1473
 
2.7%
회 1158
 
2.1%
아 1138
 
2.1%
리 1093
 
2.0%
식 1051
 
1.9%
에 839
 
1.6%
트 824
 
1.5%
Other values (934) 38642
71.5%
ASCII
ValueCountFrequency (%)
) 2274
18.0%
( 2273
18.0%
1353
 
10.7%
o 463
 
3.7%
e 451
 
3.6%
a 370
 
2.9%
i 320
 
2.5%
s 319
 
2.5%
n 303
 
2.4%
l 263
 
2.1%
Other values (62) 4224
33.5%
None
ValueCountFrequency (%)
㈜ 1712
100.0%
CJK
ValueCountFrequency (%)
美 2
50.0%
洙 1
25.0%
林 1
25.0%
CJK Compat Ideographs
ValueCountFrequency (%)
茶 1
100.0%

지번주소
Text

Distinct9890
Distinct (%)99.0%
Missing6
Missing (%)0.1%
Memory size156.2 KiB
2024-03-16T13:14:27.322388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length78
Median length52
Mean length27.232139
Min length11

Characters and Unicode

Total characters272158
Distinct characters747
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9805 ?
Unique (%)98.1%

Sample

1st row경기 성남시 중원구 상대원동 190-1 SKn테크노파크 테크동 1202호
2nd row서울특별시 강남구 삼성동 142-41번지 (주)호텔롯데L7호 강남 3층 302호
3rd row서울특별시 광진구 구의동 547-8번지 리젠트오피스텔 601호
4th row서울 강남구 역삼동 830-38 원곡빌딩 5층
5th row서울 동작구 신대방동 693-2(일진빌딩4층
ValueCountFrequency (%)
서울 4428
 
7.6%
서울특별시 1946
 
3.3%
경기 1790
 
3.1%
강남구 1108
 
1.9%
서초구 564
 
1.0%
경기도 512
 
0.9%
송파구 466
 
0.8%
인천 449
 
0.8%
성남시 426
 
0.7%
2층 423
 
0.7%
Other values (16338) 46176
79.2%
2024-03-16T13:14:28.223101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
48404
 
17.8%
1 14159
 
5.2%
동 11615
 
4.3%
2 9498
 
3.5%
구 9417
 
3.5%
서 8286
 
3.0%
0 7823
 
2.9%
3 6986
 
2.6%
울 6496
 
2.4%
- 6373
 
2.3%
Other values (737) 143101
52.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 149782
55.0%
Decimal Number 64108
23.6%
Space Separator 48404
 
17.8%
Dash Punctuation 6373
 
2.3%
Uppercase Letter 1933
 
0.7%
Other Punctuation 715
 
0.3%
Lowercase Letter 475
 
0.2%
Open Punctuation 157
 
0.1%
Close Punctuation 157
 
0.1%
Math Symbol 39
 
< 0.1%
Other values (2) 15
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 11615
 
7.8%
구 9417
 
6.3%
서 8286
 
5.5%
울 6496
 
4.3%
지 5496
 
3.7%
시 5179
 
3.5%
호 5014
 
3.3%
번 4815
 
3.2%
층 2680
 
1.8%
경 2606
 
1.7%
Other values (655) 88178
58.9%
Uppercase Letter
ValueCountFrequency (%)
A 299
15.5%
B 271
14.0%
C 144
 
7.4%
T 141
 
7.3%
S 124
 
6.4%
E 121
 
6.3%
K 103
 
5.3%
I 93
 
4.8%
N 80
 
4.1%
R 70
 
3.6%
Other values (16) 487
25.2%
Lowercase Letter
ValueCountFrequency (%)
a 180
37.9%
b 35
 
7.4%
e 31
 
6.5%
i 29
 
6.1%
o 29
 
6.1%
n 27
 
5.7%
t 16
 
3.4%
k 13
 
2.7%
g 13
 
2.7%
c 12
 
2.5%
Other values (15) 90
18.9%
Decimal Number
ValueCountFrequency (%)
1 14159
22.1%
2 9498
14.8%
0 7823
12.2%
3 6986
10.9%
4 5619
 
8.8%
5 5085
 
7.9%
6 4245
 
6.6%
7 3932
 
6.1%
8 3475
 
5.4%
9 3286
 
5.1%
Other Punctuation
ValueCountFrequency (%)
/ 453
63.4%
, 233
32.6%
@ 14
 
2.0%
? 6
 
0.8%
& 4
 
0.6%
. 3
 
0.4%
' 1
 
0.1%
# 1
 
0.1%
Letter Number
ValueCountFrequency (%)
Ⅱ 11
84.6%
Ⅰ 1
 
7.7%
ⅱ 1
 
7.7%
Open Punctuation
ValueCountFrequency (%)
( 156
99.4%
[ 1
 
0.6%
Close Punctuation
ValueCountFrequency (%)
) 156
99.4%
] 1
 
0.6%
Math Symbol
ValueCountFrequency (%)
~ 38
97.4%
∥ 1
 
2.6%
Other Symbol
ValueCountFrequency (%)
㈜ 1
50.0%
ⓝ 1
50.0%
Space Separator
ValueCountFrequency (%)
48404
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6373
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 149782
55.0%
Common 119954
44.1%
Latin 2421
 
0.9%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 11615
 
7.8%
구 9417
 
6.3%
서 8286
 
5.5%
울 6496
 
4.3%
지 5496
 
3.7%
시 5179
 
3.5%
호 5014
 
3.3%
번 4815
 
3.2%
층 2680
 
1.8%
경 2606
 
1.7%
Other values (655) 88178
58.9%
Latin
ValueCountFrequency (%)
A 299
 
12.4%
B 271
 
11.2%
a 180
 
7.4%
C 144
 
5.9%
T 141
 
5.8%
S 124
 
5.1%
E 121
 
5.0%
K 103
 
4.3%
I 93
 
3.8%
N 80
 
3.3%
Other values (44) 865
35.7%
Common
ValueCountFrequency (%)
48404
40.4%
1 14159
 
11.8%
2 9498
 
7.9%
0 7823
 
6.5%
3 6986
 
5.8%
- 6373
 
5.3%
4 5619
 
4.7%
5 5085
 
4.2%
6 4245
 
3.5%
7 3932
 
3.3%
Other values (17) 7830
 
6.5%
Han
ValueCountFrequency (%)
內 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 149776
55.0%
ASCII 122359
45.0%
Number Forms 13
 
< 0.1%
Compat Jamo 5
 
< 0.1%
None 2
 
< 0.1%
CJK 1
 
< 0.1%
Math Operators 1
 
< 0.1%
Enclosed Alphanum 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
48404
39.6%
1 14159
 
11.6%
2 9498
 
7.8%
0 7823
 
6.4%
3 6986
 
5.7%
- 6373
 
5.2%
4 5619
 
4.6%
5 5085
 
4.2%
6 4245
 
3.5%
7 3932
 
3.2%
Other values (65) 10235
 
8.4%
Hangul
ValueCountFrequency (%)
동 11615
 
7.8%
구 9417
 
6.3%
서 8286
 
5.5%
울 6496
 
4.3%
지 5496
 
3.7%
시 5179
 
3.5%
호 5014
 
3.3%
번 4815
 
3.2%
층 2680
 
1.8%
경 2606
 
1.7%
Other values (651) 88172
58.9%
Number Forms
ValueCountFrequency (%)
Ⅱ 11
84.6%
Ⅰ 1
 
7.7%
ⅱ 1
 
7.7%
Compat Jamo
ValueCountFrequency (%)
ㅎ 3
60.0%
ㅗ 1
 
20.0%
ㅍ 1
 
20.0%
CJK
ValueCountFrequency (%)
內 1
100.0%
None
ValueCountFrequency (%)
㈜ 1
50.0%
ß 1
50.0%
Math Operators
ValueCountFrequency (%)
∥ 1
100.0%
Enclosed Alphanum
ValueCountFrequency (%)
ⓝ 1
100.0%

도로명주소
Text

MISSING 

Distinct9448
Distinct (%)98.7%
Missing423
Missing (%)4.2%
Memory size156.2 KiB
2024-03-16T13:14:28.840885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length79
Median length59
Mean length36.459852
Min length11

Characters and Unicode

Total characters349176
Distinct characters769
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9342 ?
Unique (%)97.5%

Sample

1st row경기도 성남시 중원구 사기막골로 124, SKN테크노파크 1202호 테크동 (상대원동)
2nd row서울특별시 강남구 테헤란로 415, 강남 3층 L7호 (주)호텔롯데 302호(삼성동)
3rd row서울특별시 광진구 강변역로4길 68, 리젠트오피스텔 601호 (구의동)
4th row서울특별시 강남구 역삼로5길 22, 원곡빌딩 5층 (역삼동)
5th row서울특별시 동작구 대림로 25, 일진빌딩 4층 (신대방동)
ValueCountFrequency (%)
서울특별시 6153
 
9.3%
경기도 2213
 
3.4%
강남구 1091
 
1.7%
서초구 555
 
0.8%
인천광역시 478
 
0.7%
송파구 451
 
0.7%
2층 443
 
0.7%
성남시 416
 
0.6%
마포구 406
 
0.6%
3층 394
 
0.6%
Other values (14967) 53337
80.9%
2024-03-16T13:14:29.731434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
63663
 
18.2%
1 12710
 
3.6%
동 12486
 
3.6%
, 10911
 
3.1%
로 10148
 
2.9%
시 9818
 
2.8%
) 9553
 
2.7%
( 9544
 
2.7%
구 9250
 
2.6%
2 8571
 
2.5%
Other values (759) 192522
55.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 194737
55.8%
Space Separator 63663
 
18.2%
Decimal Number 56936
 
16.3%
Other Punctuation 10953
 
3.1%
Close Punctuation 9554
 
2.7%
Open Punctuation 9545
 
2.7%
Uppercase Letter 1922
 
0.6%
Dash Punctuation 1681
 
0.5%
Lowercase Letter 134
 
< 0.1%
Math Symbol 36
 
< 0.1%
Other values (2) 15
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 12486
 
6.4%
로 10148
 
5.2%
시 9818
 
5.0%
구 9250
 
4.7%
서 8410
 
4.3%
울 6337
 
3.3%
별 6207
 
3.2%
특 6182
 
3.2%
호 4874
 
2.5%
길 4827
 
2.5%
Other values (685) 116198
59.7%
Uppercase Letter
ValueCountFrequency (%)
B 275
14.3%
A 237
12.3%
C 150
 
7.8%
T 147
 
7.6%
E 135
 
7.0%
S 120
 
6.2%
K 108
 
5.6%
I 101
 
5.3%
N 87
 
4.5%
R 73
 
3.8%
Other values (16) 489
25.4%
Lowercase Letter
ValueCountFrequency (%)
a 37
27.6%
o 15
11.2%
e 12
 
9.0%
n 10
 
7.5%
b 9
 
6.7%
l 7
 
5.2%
i 7
 
5.2%
t 5
 
3.7%
m 4
 
3.0%
w 4
 
3.0%
Other values (10) 24
17.9%
Decimal Number
ValueCountFrequency (%)
1 12710
22.3%
2 8571
15.1%
0 7227
12.7%
3 6447
11.3%
4 4813
 
8.5%
5 4465
 
7.8%
6 3798
 
6.7%
7 3243
 
5.7%
8 3056
 
5.4%
9 2606
 
4.6%
Other Punctuation
ValueCountFrequency (%)
, 10911
99.6%
/ 35
 
0.3%
& 3
 
< 0.1%
. 2
 
< 0.1%
· 1
 
< 0.1%
# 1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 9553
> 99.9%
] 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 9544
> 99.9%
[ 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 35
97.2%
∥ 1
 
2.8%
Letter Number
ValueCountFrequency (%)
Ⅱ 12
92.3%
Ⅰ 1
 
7.7%
Other Symbol
ValueCountFrequency (%)
㈜ 1
50.0%
ⓝ 1
50.0%
Space Separator
ValueCountFrequency (%)
63663
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1681
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 194737
55.8%
Common 152369
43.6%
Latin 2069
 
0.6%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 12486
 
6.4%
로 10148
 
5.2%
시 9818
 
5.0%
구 9250
 
4.7%
서 8410
 
4.3%
울 6337
 
3.3%
별 6207
 
3.2%
특 6182
 
3.2%
호 4874
 
2.5%
길 4827
 
2.5%
Other values (685) 116198
59.7%
Latin
ValueCountFrequency (%)
B 275
13.3%
A 237
 
11.5%
C 150
 
7.2%
T 147
 
7.1%
E 135
 
6.5%
S 120
 
5.8%
K 108
 
5.2%
I 101
 
4.9%
N 87
 
4.2%
R 73
 
3.5%
Other values (38) 636
30.7%
Common
ValueCountFrequency (%)
63663
41.8%
1 12710
 
8.3%
, 10911
 
7.2%
) 9553
 
6.3%
( 9544
 
6.3%
2 8571
 
5.6%
0 7227
 
4.7%
3 6447
 
4.2%
4 4813
 
3.2%
5 4465
 
2.9%
Other values (15) 14465
 
9.5%
Han
ValueCountFrequency (%)
內 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 194732
55.8%
ASCII 154422
44.2%
Number Forms 13
 
< 0.1%
Compat Jamo 4
 
< 0.1%
None 2
 
< 0.1%
CJK 1
 
< 0.1%
Math Operators 1
 
< 0.1%
Enclosed Alphanum 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
63663
41.2%
1 12710
 
8.2%
, 10911
 
7.1%
) 9553
 
6.2%
( 9544
 
6.2%
2 8571
 
5.6%
0 7227
 
4.7%
3 6447
 
4.2%
4 4813
 
3.1%
5 4465
 
2.9%
Other values (58) 16518
 
10.7%
Hangul
ValueCountFrequency (%)
동 12486
 
6.4%
로 10148
 
5.2%
시 9818
 
5.0%
구 9250
 
4.8%
서 8410
 
4.3%
울 6337
 
3.3%
별 6207
 
3.2%
특 6182
 
3.2%
호 4874
 
2.5%
길 4827
 
2.5%
Other values (682) 116193
59.7%
Number Forms
ValueCountFrequency (%)
Ⅱ 12
92.3%
Ⅰ 1
 
7.7%
Compat Jamo
ValueCountFrequency (%)
ㅎ 3
75.0%
ㅗ 1
 
25.0%
None
ValueCountFrequency (%)
㈜ 1
50.0%
· 1
50.0%
CJK
ValueCountFrequency (%)
內 1
100.0%
Math Operators
ValueCountFrequency (%)
∥ 1
100.0%
Enclosed Alphanum
ValueCountFrequency (%)
ⓝ 1
100.0%

사업자등록번호
Text

MISSING 

Distinct2393
Distinct (%)99.9%
Missing7604
Missing (%)76.0%
Memory size156.2 KiB
2024-03-16T13:14:30.119733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters28752
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2390 ?
Unique (%)99.7%

Sample

1st row778-86-00179
2nd row802-87-00315
3rd row177-85-00141
4th row114-86-63759
5th row112-02-98441
ValueCountFrequency (%)
880-86-00259 2
 
0.1%
209-81-24419 2
 
0.1%
666-88-02451 2
 
0.1%
409-17-57163 1
 
< 0.1%
215-87-93441 1
 
< 0.1%
106-86-49737 1
 
< 0.1%
501-81-01501 1
 
< 0.1%
220-81-04521 1
 
< 0.1%
409-90-94521 1
 
< 0.1%
269-88-00534 1
 
< 0.1%
Other values (2383) 2383
99.5%
2024-03-16T13:14:30.658247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 4792
16.7%
1 4061
14.1%
8 3839
13.4%
0 3325
11.6%
2 2541
8.8%
6 2138
7.4%
7 1775
 
6.2%
4 1740
 
6.1%
3 1700
 
5.9%
5 1555
 
5.4%
Other values (4) 1286
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 23957
83.3%
Dash Punctuation 4792
 
16.7%
Uppercase Letter 3
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 4061
17.0%
8 3839
16.0%
0 3325
13.9%
2 2541
10.6%
6 2138
8.9%
7 1775
7.4%
4 1740
7.3%
3 1700
7.1%
5 1555
 
6.5%
9 1283
 
5.4%
Uppercase Letter
ValueCountFrequency (%)
D 1
33.3%
E 1
33.3%
U 1
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 4792
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 28749
> 99.9%
Latin 3
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
- 4792
16.7%
1 4061
14.1%
8 3839
13.4%
0 3325
11.6%
2 2541
8.8%
6 2138
7.4%
7 1775
 
6.2%
4 1740
 
6.1%
3 1700
 
5.9%
5 1555
 
5.4%
Latin
ValueCountFrequency (%)
D 1
33.3%
E 1
33.3%
U 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 28752
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 4792
16.7%
1 4061
14.1%
8 3839
13.4%
0 3325
11.6%
2 2541
8.8%
6 2138
7.4%
7 1775
 
6.2%
4 1740
 
6.1%
3 1700
 
5.9%
5 1555
 
5.4%
Other values (4) 1286
 
4.5%

관리기관
Categorical

IMBALANCE 

Distinct11
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
서울전파관리소
9244 
대구전파관리소
 
170
부산전파관리소
 
155
대전전파관리소
 
121
강릉전파관리소
 
96
Other values (6)
 
214

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서울전파관리소 9244
92.4%
대구전파관리소 170
 
1.7%
부산전파관리소 155
 
1.6%
대전전파관리소 121
 
1.2%
강릉전파관리소 96
 
1.0%
광주전파관리소 94
 
0.9%
전주전파관리소 45
 
0.4%
청주전파관리소 40
 
0.4%
제주전파관리소 17
 
0.2%
중앙전파관리소 10
 
0.1%

Length

2024-03-16T13:14:30.899590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
서울전파관리소 9244
92.4%
대구전파관리소 170
 
1.7%
부산전파관리소 155
 
1.6%
대전전파관리소 121
 
1.2%
강릉전파관리소 96
 
1.0%
광주전파관리소 94
 
0.9%
전주전파관리소 45
 
0.4%
청주전파관리소 40
 
0.4%
제주전파관리소 17
 
0.2%
중앙전파관리소 10
 
0.1%

Interactions

2024-03-16T13:14:22.999296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-16T13:14:31.048873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
신고번호관리기관
신고번호1.0000.173
관리기관0.1731.000
2024-03-16T13:14:31.202314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
신고번호관리기관
신고번호1.0000.074
관리기관0.0741.000

Missing values

2024-03-16T13:14:23.394746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-16T13:14:23.528287image/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.
2024-03-16T13:14:23.643218image/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

신고번호신고일자사업자명지번주소도로명주소사업자등록번호관리기관
448044812008-09-26㈜액텔라경기 성남시 중원구 상대원동 190-1 SKn테크노파크 테크동 1202호경기도 성남시 중원구 사기막골로 124, SKN테크노파크 1202호 테크동 (상대원동)<NA>서울전파관리소
119011912020-11-13주식회사 트립비토즈서울특별시 강남구 삼성동 142-41번지 (주)호텔롯데L7호 강남 3층 302호서울특별시 강남구 테헤란로 415, 강남 3층 L7호 (주)호텔롯데 302호(삼성동)778-86-00179서울전파관리소
104710482020-12-31주식회사 피제이팩토리서울특별시 광진구 구의동 547-8번지 리젠트오피스텔 601호서울특별시 광진구 강변역로4길 68, 리젠트오피스텔 601호 (구의동)802-87-00315서울전파관리소
13093130942004-02-25㈜퓨쳐위즈서울 강남구 역삼동 830-38 원곡빌딩 5층서울특별시 강남구 역삼로5길 22, 원곡빌딩 5층 (역삼동)<NA>서울전파관리소
14354143552000-01-25(주)인테넷서비스서울 동작구 신대방동 693-2(일진빌딩4층서울특별시 동작구 대림로 25, 일진빌딩 4층 (신대방동)<NA>서울전파관리소
931293132006-11-09The morningstar서울 구로구 구로5동 111-15서울특별시 구로구 구로중앙로28다길 5, (구로동)<NA>서울전파관리소
2242252023-03-16주식회사 태양에너지전라남도 무안군 무안읍 성남리 276번지 2층 3층전라남도 무안군 무안읍 무안로 491, 2층 3층(성남리)177-85-00141광주전파관리소
868586862007-01-25나무아이경기 양주시 산북동 1번지 한승아파트102-703경기도 양주시 고덕로 108-59, 102동 703호 (산북동, 양주한승)<NA>서울전파관리소
13159131602004-01-27신한산업서울 중구 입정동 141-5서울특별시 중구 청계천로 142-1, (입정동)<NA>서울전파관리소
304830492012-12-05주식회사 신사고아카데미서울특별시 강서구 마곡동 776-6번지 좋은책신사고마곡제 2호 사옥서울특별시 강서구 강서로 463, 좋은책신사고마곡제 2호 사옥(마곡동)114-86-63759서울전파관리소
신고번호신고일자사업자명지번주소도로명주소사업자등록번호관리기관
913791382006-11-27퀸메이크서울 강서구 방화동 830-1112 오피앙오피스텔1동 1112호<NA><NA>서울전파관리소
11344113452006-02-06솔눈경북 상주시 공성면 이화리 944-3번지경상북도 상주시 공성면 문화마을길 73, (이화리)<NA>대구전파관리소
846584662007-02-16무인천하서울 동작구 대방동 13-126 미래하이츠빌 다동502호서울특별시 동작구 등용로8길 53, 다동 502호 (대방동, 미래하이츠빌)<NA>서울전파관리소
10998109992006-03-22팍스하키경기 고양시 일산동구 장항동 865 코오롱레이크폴리스 B/105경기도 고양시 일산동구 호수로 606, 코오롱레이크폴리스 B동 105호 / (장항동)<NA>서울전파관리소
10892108932006-04-03바꿔서울 관악구 남현동 602-165 102호서울특별시 관악구 승방3가길 28, 102호 (남현동)<NA>서울전파관리소
13056130572004-03-16MDM기획서울 송파구 오금동 154 강동빌딩 202서울특별시 송파구 동남로26길 12-1, 강동빌딩 202호 (오금동)<NA>서울전파관리소
11807118082005-09-09디엠씨코리아서울 송파구 가락동 70-3 202호서울특별시 송파구 중대로9길 53-11, 202호 (가락동)<NA>서울전파관리소
12950129512004-05-04대화제약㈜횡성군 횡성읍 마산리 308강원도 횡성군 횡성읍 한우로 495, (마산리)<NA>강릉전파관리소
552155222007-12-04쿠에서울 노원구 월계2동 947번지 롯데캐슬 105동 304호서울특별시 노원구 월계로45길 21, 105동 304호 (월계동, 롯데캐슬루나)<NA>서울전파관리소
9059062021-06-04주식회사 뛰놀자제주특별자치도 제주시 도남동 693-1번지 3층제주특별자치도 제주시 복지로5길 2, 3층 (도남동)385-87-01430제주전파관리소