Overview

Dataset statistics

Number of variables10
Number of observations341
Missing cells37
Missing cells (%)1.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory27.4 KiB
Average record size in memory82.4 B

Variable types

Numeric2
Text7
Categorical1

Dataset

Description지상파방송사업자의 방송국명, 대표자 성명, 주소지, 연락처(전화번호, 팩스), 홈페이지 주소 등 주요 허가 사항 현황
Author방송통신위원회
URLhttps://www.data.go.kr/data/3068655/fileData.do

Alerts

전화 has 13 (3.8%) missing valuesMissing
팩스 has 15 (4.4%) missing valuesMissing
홈페이지 has 9 (2.6%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 22:42:24.200565
Analysis finished2023-12-12 22:42:25.473038
Duration1.27 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct341
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean171
Minimum1
Maximum341
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2023-12-13T07:42:25.536126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile18
Q186
median171
Q3256
95-th percentile324
Maximum341
Range340
Interquartile range (IQR)170

Descriptive statistics

Standard deviation98.582453
Coefficient of variation (CV)0.57650557
Kurtosis-1.2
Mean171
Median Absolute Deviation (MAD)85
Skewness0
Sum58311
Variance9718.5
MonotonicityStrictly increasing
2023-12-13T07:42:25.997772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
226 1
 
0.3%
234 1
 
0.3%
233 1
 
0.3%
232 1
 
0.3%
231 1
 
0.3%
230 1
 
0.3%
229 1
 
0.3%
228 1
 
0.3%
227 1
 
0.3%
Other values (331) 331
97.1%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
341 1
0.3%
340 1
0.3%
339 1
0.3%
338 1
0.3%
337 1
0.3%
336 1
0.3%
335 1
0.3%
334 1
0.3%
333 1
0.3%
332 1
0.3%

방송사명
Text

Distinct72
Distinct (%)21.1%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2023-12-13T07:42:26.269698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length7.8152493
Min length6

Characters and Unicode

Total characters2665
Distinct characters125
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

Unique34 ?
Unique (%)10.0%

Sample

1st row(사)고려인마을
2nd row(사)관악공동체라디오
3rd row(사)광주시민방송
4th row(사)금강에프엠방송
5th row(사)마포공동체라디오
ValueCountFrequency (%)
한국방송공사 118
32.6%
재)기독교방송 19
 
5.2%
재)극동방송 16
 
4.4%
도로교통공단 12
 
3.3%
주)엠비씨강원영동 8
 
2.2%
재)불교방송 8
 
2.2%
사단법인 7
 
1.9%
광주문화방송(주 6
 
1.7%
주)엠비씨충북 6
 
1.7%
주)엠비씨경남 6
 
1.7%
Other values (70) 156
43.1%
2023-12-13T07:42:26.709945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
송 268
 
10.1%
방 267
 
10.0%
( 190
 
7.1%
) 190
 
7.1%
주 155
 
5.8%
사 147
 
5.5%
공 146
 
5.5%
국 126
 
4.7%
한 123
 
4.6%
화 68
 
2.6%
Other values (115) 985
37.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2261
84.8%
Open Punctuation 190
 
7.1%
Close Punctuation 190
 
7.1%
Space Separator 21
 
0.8%
Uppercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
송 268
 
11.9%
방 267
 
11.8%
주 155
 
6.9%
사 147
 
6.5%
공 146
 
6.5%
국 126
 
5.6%
한 123
 
5.4%
화 68
 
3.0%
재 67
 
3.0%
문 63
 
2.8%
Other values (109) 831
36.8%
Uppercase Letter
ValueCountFrequency (%)
T 1
33.3%
N 1
33.3%
Y 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 190
100.0%
Close Punctuation
ValueCountFrequency (%)
) 190
100.0%
Space Separator
ValueCountFrequency (%)
21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2261
84.8%
Common 401
 
15.0%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
송 268
 
11.9%
방 267
 
11.8%
주 155
 
6.9%
사 147
 
6.5%
공 146
 
6.5%
국 126
 
5.6%
한 123
 
5.4%
화 68
 
3.0%
재 67
 
3.0%
문 63
 
2.8%
Other values (109) 831
36.8%
Common
ValueCountFrequency (%)
( 190
47.4%
) 190
47.4%
21
 
5.2%
Latin
ValueCountFrequency (%)
T 1
33.3%
N 1
33.3%
Y 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2261
84.8%
ASCII 404
 
15.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
송 268
 
11.9%
방 267
 
11.8%
주 155
 
6.9%
사 147
 
6.5%
공 146
 
6.5%
국 126
 
5.6%
한 123
 
5.4%
화 68
 
3.0%
재 67
 
3.0%
문 63
 
2.8%
Other values (109) 831
36.8%
ASCII
ValueCountFrequency (%)
( 190
47.0%
) 190
47.0%
21
 
5.2%
T 1
 
0.2%
N 1
 
0.2%
Y 1
 
0.2%

방송국명
Text

Distinct338
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2023-12-13T07:42:26.969521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length15
Mean length11.659824
Min length7

Characters and Unicode

Total characters3976
Distinct characters113
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique335 ?
Unique (%)98.2%

Sample

1st row광산FM공동체라디오
2nd row관악소출력공동체라디오FM방송국
3rd row광주소출력공동체라디오FM방송국
4th row공주소출력공동체라디오FM방송국
5th row마포소출력공동체라디오FM방송국
ValueCountFrequency (%)
dtv방송국 26
 
6.4%
fm방송국 15
 
3.7%
mbc강원영동 7
 
1.7%
mbc충북 6
 
1.5%
am방송국 5
 
1.2%
지상파dmb방송국 5
 
1.2%
광주mbc 4
 
1.0%
전주mbc 4
 
1.0%
knn 3
 
0.7%
g1 3
 
0.7%
Other values (316) 330
80.9%
2023-12-13T07:42:27.353836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
M 329
 
8.3%
국 327
 
8.2%
방 324
 
8.1%
송 324
 
8.1%
B 263
 
6.6%
F 203
 
5.1%
제 157
 
3.9%
S 153
 
3.8%
K 126
 
3.2%
C 110
 
2.8%
Other values (103) 1660
41.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2163
54.4%
Uppercase Letter 1605
40.4%
Decimal Number 141
 
3.5%
Space Separator 67
 
1.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
국 327
15.1%
방 324
15.0%
송 324
15.0%
제 157
 
7.3%
주 93
 
4.3%
동 59
 
2.7%
대 39
 
1.8%
산 37
 
1.7%
표 35
 
1.6%
준 35
 
1.6%
Other values (80) 733
33.9%
Uppercase Letter
ValueCountFrequency (%)
M 329
20.5%
B 263
16.4%
F 203
12.6%
S 153
9.5%
K 126
 
7.9%
C 110
 
6.9%
D 110
 
6.9%
T 102
 
6.4%
V 92
 
5.7%
U 28
 
1.7%
Other values (9) 89
 
5.5%
Decimal Number
ValueCountFrequency (%)
1 91
64.5%
2 49
34.8%
3 1
 
0.7%
Space Separator
ValueCountFrequency (%)
67
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2163
54.4%
Latin 1605
40.4%
Common 208
 
5.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
국 327
15.1%
방 324
15.0%
송 324
15.0%
제 157
 
7.3%
주 93
 
4.3%
동 59
 
2.7%
대 39
 
1.8%
산 37
 
1.7%
표 35
 
1.6%
준 35
 
1.6%
Other values (80) 733
33.9%
Latin
ValueCountFrequency (%)
M 329
20.5%
B 263
16.4%
F 203
12.6%
S 153
9.5%
K 126
 
7.9%
C 110
 
6.9%
D 110
 
6.9%
T 102
 
6.4%
V 92
 
5.7%
U 28
 
1.7%
Other values (9) 89
 
5.5%
Common
ValueCountFrequency (%)
1 91
43.8%
67
32.2%
2 49
23.6%
3 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2163
54.4%
ASCII 1813
45.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
M 329
18.1%
B 263
14.5%
F 203
11.2%
S 153
8.4%
K 126
 
6.9%
C 110
 
6.1%
D 110
 
6.1%
T 102
 
5.6%
V 92
 
5.1%
1 91
 
5.0%
Other values (13) 234
12.9%
Hangul
ValueCountFrequency (%)
국 327
15.1%
방 324
15.0%
송 324
15.0%
제 157
 
7.3%
주 93
 
4.3%
동 59
 
2.7%
대 39
 
1.8%
산 37
 
1.7%
표 35
 
1.6%
준 35
 
1.6%
Other values (80) 733
33.9%

유형
Categorical

Distinct8
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
라디오(FM)
141 
텔레비전(DTV)
65 
라디오(표준FM)
35 
라디오(AM)
28 
공동체라디오(FM)
27 
Other values (3)
45 

Length

Max length10
Median length7
Mean length7.7595308
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row공동체라디오(FM)
2nd row공동체라디오(FM)
3rd row공동체라디오(FM)
4th row공동체라디오(FM)
5th row공동체라디오(FM)

Common Values

ValueCountFrequency (%)
라디오(FM) 141
41.3%
텔레비전(DTV) 65
19.1%
라디오(표준FM) 35
 
10.3%
라디오(AM) 28
 
8.2%
공동체라디오(FM) 27
 
7.9%
텔레비전(UHD) 25
 
7.3%
DMB 18
 
5.3%
라디오(단파) 2
 
0.6%

Length

2023-12-13T07:42:27.528832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:42:27.678548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
라디오(fm 141
41.3%
텔레비전(dtv 65
19.1%
라디오(표준fm 35
 
10.3%
라디오(am 28
 
8.2%
공동체라디오(fm 27
 
7.9%
텔레비전(uhd 25
 
7.3%
dmb 18
 
5.3%
라디오(단파 2
 
0.6%

대표자
Text

Distinct70
Distinct (%)20.5%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2023-12-13T07:42:27.904674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length3
Mean length3.2199413
Min length3

Characters and Unicode

Total characters1098
Distinct characters94
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)9.4%

Sample

1st row이천영
2nd row안병천
3rd row유영주
4th row채종윤
5th row송덕호
ValueCountFrequency (%)
김의철 118
33.1%
육순종 19
 
5.3%
김장환 16
 
4.5%
이주민 12
 
3.4%
이동민 9
 
2.5%
한정우 8
 
2.2%
김태영 8
 
2.2%
김낙곤 6
 
1.7%
한기현 6
 
1.7%
이우환 6
 
1.7%
Other values (64) 148
41.6%
2023-12-13T07:42:28.309260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 167
 
15.2%
철 119
 
10.8%
의 118
 
10.7%
이 57
 
5.2%
정 35
 
3.2%
한 26
 
2.4%
종 25
 
2.3%
환 25
 
2.3%
순 23
 
2.1%
민 22
 
2.0%
Other values (84) 481
43.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1068
97.3%
Other Punctuation 15
 
1.4%
Space Separator 15
 
1.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 167
 
15.6%
철 119
 
11.1%
의 118
 
11.0%
이 57
 
5.3%
정 35
 
3.3%
한 26
 
2.4%
종 25
 
2.3%
환 25
 
2.3%
순 23
 
2.2%
민 22
 
2.1%
Other values (82) 451
42.2%
Other Punctuation
ValueCountFrequency (%)
, 15
100.0%
Space Separator
ValueCountFrequency (%)
15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1068
97.3%
Common 30
 
2.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 167
 
15.6%
철 119
 
11.1%
의 118
 
11.0%
이 57
 
5.3%
정 35
 
3.3%
한 26
 
2.4%
종 25
 
2.3%
환 25
 
2.3%
순 23
 
2.2%
민 22
 
2.1%
Other values (82) 451
42.2%
Common
ValueCountFrequency (%)
, 15
50.0%
15
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1068
97.3%
ASCII 30
 
2.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 167
 
15.6%
철 119
 
11.1%
의 118
 
11.0%
이 57
 
5.3%
정 35
 
3.3%
한 26
 
2.4%
종 25
 
2.3%
환 25
 
2.3%
순 23
 
2.2%
민 22
 
2.1%
Other values (82) 451
42.2%
ASCII
ValueCountFrequency (%)
, 15
50.0%
15
50.0%

우편번호
Real number (ℝ)

Distinct69
Distinct (%)20.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20966.235
Minimum3694
Maximum63148
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2023-12-13T07:42:28.470242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3694
5-th percentile4067
Q17235
median7997
Q334125
95-th percentile61629
Maximum63148
Range59454
Interquartile range (IQR)26890

Descriptive statistics

Standard deviation19053.053
Coefficient of variation (CV)0.90874939
Kurtosis-0.52597893
Mean20966.235
Median Absolute Deviation (MAD)3930
Skewness0.95272758
Sum7149486
Variance3.6301882 × 108
MonotonicityNot monotonic
2023-12-13T07:42:28.617353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7235 118
34.6%
7997 19
 
5.6%
4067 16
 
4.7%
26466 12
 
3.5%
34125 9
 
2.6%
25477 8
 
2.3%
4175 8
 
2.3%
3925 8
 
2.3%
51322 6
 
1.8%
61629 6
 
1.8%
Other values (59) 131
38.4%
ValueCountFrequency (%)
3694 1
 
0.3%
3909 2
 
0.6%
3925 8
 
2.3%
3926 2
 
0.6%
3992 1
 
0.3%
4067 16
 
4.7%
4175 8
 
2.3%
4552 5
 
1.5%
6713 1
 
0.3%
7235 118
34.6%
ValueCountFrequency (%)
63148 3
0.9%
63120 4
1.2%
62345 1
 
0.3%
61915 4
1.2%
61640 1
 
0.3%
61629 6
1.8%
61216 1
 
0.3%
59700 3
0.9%
58700 3
0.9%
57962 1
 
0.3%

전화
Text

MISSING 

Distinct60
Distinct (%)18.3%
Missing13
Missing (%)3.8%
Memory size2.8 KiB
2023-12-13T07:42:28.859225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.521341
Min length11

Characters and Unicode

Total characters3779
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

Unique22 ?
Unique (%)6.7%

Sample

1st row062-961-1925
2nd row02-885-8003
3rd row062-531-0100
4th row044-850-9200
5th row02-332-3247
ValueCountFrequency (%)
02-781-1000 118
36.0%
02-2650-7959 19
 
5.8%
02-320-0404 16
 
4.9%
033-749-5000 12
 
3.7%
033-650-2114 8
 
2.4%
02-705-5311 8
 
2.4%
043-841-8114 6
 
1.8%
055-250-5000 6
 
1.8%
062-360-2000 6
 
1.8%
051-850-9522 5
 
1.5%
Other values (50) 124
37.8%
2023-12-13T07:42:29.211891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1074
28.4%
- 656
17.4%
1 465
12.3%
2 410
 
10.8%
7 230
 
6.1%
5 209
 
5.5%
8 187
 
4.9%
3 183
 
4.8%
4 151
 
4.0%
6 112
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3123
82.6%
Dash Punctuation 656
 
17.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1074
34.4%
1 465
14.9%
2 410
 
13.1%
7 230
 
7.4%
5 209
 
6.7%
8 187
 
6.0%
3 183
 
5.9%
4 151
 
4.8%
6 112
 
3.6%
9 102
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 656
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3779
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1074
28.4%
- 656
17.4%
1 465
12.3%
2 410
 
10.8%
7 230
 
6.1%
5 209
 
5.5%
8 187
 
4.9%
3 183
 
4.8%
4 151
 
4.0%
6 112
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3779
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1074
28.4%
- 656
17.4%
1 465
12.3%
2 410
 
10.8%
7 230
 
6.1%
5 209
 
5.5%
8 187
 
4.9%
3 183
 
4.8%
4 151
 
4.0%
6 112
 
3.0%

팩스
Text

MISSING 

Distinct56
Distinct (%)17.2%
Missing15
Missing (%)4.4%
Memory size2.8 KiB
2023-12-13T07:42:29.448188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.515337
Min length11

Characters and Unicode

Total characters3754
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

Unique17 ?
Unique (%)5.2%

Sample

1st row02-883-8004
2nd row062-531-0202
3rd row044-850-9209
4th row02-332-3246
5th row031-703-3257
ValueCountFrequency (%)
02-781-1001 118
36.2%
02-2654-2459 19
 
5.8%
02-320-0419 16
 
4.9%
033-749-5908 12
 
3.7%
033-650-2147 8
 
2.5%
02-705-5351 8
 
2.5%
055-250-5049 6
 
1.8%
062-360-2155 6
 
1.8%
043-229-7240 6
 
1.8%
063-226-1363 5
 
1.5%
Other values (46) 122
37.4%
2023-12-13T07:42:29.770769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 769
20.5%
- 652
17.4%
1 519
13.8%
2 474
12.6%
7 239
 
6.4%
5 223
 
5.9%
3 214
 
5.7%
8 203
 
5.4%
4 178
 
4.7%
9 152
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3102
82.6%
Dash Punctuation 652
 
17.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 769
24.8%
1 519
16.7%
2 474
15.3%
7 239
 
7.7%
5 223
 
7.2%
3 214
 
6.9%
8 203
 
6.5%
4 178
 
5.7%
9 152
 
4.9%
6 131
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 652
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3754
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 769
20.5%
- 652
17.4%
1 519
13.8%
2 474
12.6%
7 239
 
6.4%
5 223
 
5.9%
3 214
 
5.7%
8 203
 
5.4%
4 178
 
4.7%
9 152
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3754
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 769
20.5%
- 652
17.4%
1 519
13.8%
2 474
12.6%
7 239
 
6.4%
5 223
 
5.9%
3 214
 
5.7%
8 203
 
5.4%
4 178
 
4.7%
9 152
 
4.0%

주소
Text

Distinct71
Distinct (%)20.8%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2023-12-13T07:42:30.107770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length38
Mean length26.715543
Min length14

Characters and Unicode

Total characters9110
Distinct characters199
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 (%)9.4%

Sample

1st row광주광역시 광산구 월곡동 518-6번지
2nd row서울특별시 관악구 봉천동 870-13번지 신원메트로빌 B101호 B102
3rd row광주시 북구 자미로 66번길 15
4th row세종특별자치시 장군면 대학길 300(한국영상대학교 영상관 1층)
5th row서울시 마포구 성미산로88, 4층
ValueCountFrequency (%)
서울특별시 192
 
11.2%
여의도동 118
 
6.9%
18번지 118
 
6.9%
한국방송공사 118
 
6.9%
영등포구 118
 
6.9%
마포구 37
 
2.2%
강원특별자치도 32
 
1.9%
양천구 24
 
1.4%
목동 19
 
1.1%
917-1번지 19
 
1.1%
Other values (276) 912
53.4%
2023-12-13T07:42:30.653388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1366
 
15.0%
1 374
 
4.1%
동 349
 
3.8%
시 337
 
3.7%
번 300
 
3.3%
지 299
 
3.3%
구 295
 
3.2%
특 233
 
2.6%
별 233
 
2.6%
도 224
 
2.5%
Other values (189) 5100
56.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6146
67.5%
Space Separator 1366
 
15.0%
Decimal Number 1177
 
12.9%
Uppercase Letter 268
 
2.9%
Dash Punctuation 136
 
1.5%
Close Punctuation 7
 
0.1%
Open Punctuation 7
 
0.1%
Other Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 349
 
5.7%
시 337
 
5.5%
번 300
 
4.9%
지 299
 
4.9%
구 295
 
4.8%
특 233
 
3.8%
별 233
 
3.8%
도 224
 
3.6%
서 210
 
3.4%
울 208
 
3.4%
Other values (157) 3458
56.3%
Uppercase Letter
ValueCountFrequency (%)
B 75
28.0%
C 52
19.4%
M 42
15.7%
S 25
 
9.3%
T 14
 
5.2%
N 12
 
4.5%
J 11
 
4.1%
K 9
 
3.4%
W 5
 
1.9%
G 4
 
1.5%
Other values (7) 19
 
7.1%
Decimal Number
ValueCountFrequency (%)
1 374
31.8%
8 186
15.8%
0 141
 
12.0%
9 94
 
8.0%
3 77
 
6.5%
2 74
 
6.3%
4 64
 
5.4%
6 63
 
5.4%
5 55
 
4.7%
7 49
 
4.2%
Space Separator
ValueCountFrequency (%)
1366
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 136
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6146
67.5%
Common 2696
29.6%
Latin 268
 
2.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 349
 
5.7%
시 337
 
5.5%
번 300
 
4.9%
지 299
 
4.9%
구 295
 
4.8%
특 233
 
3.8%
별 233
 
3.8%
도 224
 
3.6%
서 210
 
3.4%
울 208
 
3.4%
Other values (157) 3458
56.3%
Latin
ValueCountFrequency (%)
B 75
28.0%
C 52
19.4%
M 42
15.7%
S 25
 
9.3%
T 14
 
5.2%
N 12
 
4.5%
J 11
 
4.1%
K 9
 
3.4%
W 5
 
1.9%
G 4
 
1.5%
Other values (7) 19
 
7.1%
Common
ValueCountFrequency (%)
1366
50.7%
1 374
 
13.9%
8 186
 
6.9%
0 141
 
5.2%
- 136
 
5.0%
9 94
 
3.5%
3 77
 
2.9%
2 74
 
2.7%
4 64
 
2.4%
6 63
 
2.3%
Other values (5) 121
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6146
67.5%
ASCII 2964
32.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1366
46.1%
1 374
 
12.6%
8 186
 
6.3%
0 141
 
4.8%
- 136
 
4.6%
9 94
 
3.2%
3 77
 
2.6%
B 75
 
2.5%
2 74
 
2.5%
4 64
 
2.2%
Other values (22) 377
 
12.7%
Hangul
ValueCountFrequency (%)
동 349
 
5.7%
시 337
 
5.5%
번 300
 
4.9%
지 299
 
4.9%
구 295
 
4.8%
특 233
 
3.8%
별 233
 
3.8%
도 224
 
3.6%
서 210
 
3.4%
울 208
 
3.4%
Other values (157) 3458
56.3%

홈페이지
Text

MISSING 

Distinct63
Distinct (%)19.0%
Missing9
Missing (%)2.6%
Memory size2.8 KiB
2023-12-13T07:42:30.907313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length13
Mean length13.283133
Min length7

Characters and Unicode

Total characters4410
Distinct characters36
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)7.5%

Sample

1st rowgbsfm.co.kr
2nd rowwww.radiogfm.net
3rd rowwww.icbn.or.kr
4th rowwww.kkfm.co.kr
5th rowwww.mapofm.net
ValueCountFrequency (%)
www.kbs.co.kr 118
35.5%
www.cbs.co.kr 19
 
5.7%
www.febc.net 16
 
4.8%
www.tbn.or.kr 12
 
3.6%
www.mbceg.co.kr 8
 
2.4%
www.bbsi.co.kr 8
 
2.4%
www.kjmbc.co.kr 6
 
1.8%
www.mbccb.co.kr 6
 
1.8%
mbcgn.kr 6
 
1.8%
www.knn.co.kr 5
 
1.5%
Other values (53) 128
38.6%
2023-12-13T07:42:31.336369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
w 928
21.0%
. 916
20.8%
k 430
9.8%
c 429
9.7%
b 323
 
7.3%
r 314
 
7.1%
o 312
 
7.1%
s 191
 
4.3%
m 122
 
2.8%
n 72
 
1.6%
Other values (26) 373
8.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 3481
78.9%
Other Punctuation 916
 
20.8%
Decimal Number 7
 
0.2%
Other Letter 6
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 928
26.7%
k 430
12.4%
c 429
12.3%
b 323
 
9.3%
r 314
 
9.0%
o 312
 
9.0%
s 191
 
5.5%
m 122
 
3.5%
n 72
 
2.1%
t 59
 
1.7%
Other values (14) 301
 
8.6%
Other Letter
ValueCountFrequency (%)
풀 1
16.7%
뿌 1
16.7%
리 1
16.7%
미 1
16.7%
디 1
16.7%
어 1
16.7%
Decimal Number
ValueCountFrequency (%)
3 2
28.6%
6 2
28.6%
0 1
14.3%
1 1
14.3%
9 1
14.3%
Other Punctuation
ValueCountFrequency (%)
. 916
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 3481
78.9%
Common 923
 
20.9%
Hangul 6
 
0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 928
26.7%
k 430
12.4%
c 429
12.3%
b 323
 
9.3%
r 314
 
9.0%
o 312
 
9.0%
s 191
 
5.5%
m 122
 
3.5%
n 72
 
2.1%
t 59
 
1.7%
Other values (14) 301
 
8.6%
Common
ValueCountFrequency (%)
. 916
99.2%
3 2
 
0.2%
6 2
 
0.2%
0 1
 
0.1%
1 1
 
0.1%
9 1
 
0.1%
Hangul
ValueCountFrequency (%)
풀 1
16.7%
뿌 1
16.7%
리 1
16.7%
미 1
16.7%
디 1
16.7%
어 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4404
99.9%
Hangul 6
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
w 928
21.1%
. 916
20.8%
k 430
9.8%
c 429
9.7%
b 323
 
7.3%
r 314
 
7.1%
o 312
 
7.1%
s 191
 
4.3%
m 122
 
2.8%
n 72
 
1.6%
Other values (20) 367
 
8.3%
Hangul
ValueCountFrequency (%)
풀 1
16.7%
뿌 1
16.7%
리 1
16.7%
미 1
16.7%
디 1
16.7%
어 1
16.7%

Interactions

2023-12-13T07:42:24.966434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:42:24.796964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:42:25.058038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:42:24.879669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T07:42:31.473263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번방송사명유형대표자우편번호전화팩스주소홈페이지
연번1.0000.9670.6360.9750.7340.9760.9660.9670.967
방송사명0.9671.0000.5901.0001.0001.0001.0001.0001.000
유형0.6360.5901.0000.5740.3180.6760.6870.5680.640
대표자0.9751.0000.5741.0000.9991.0001.0001.0001.000
우편번호0.7341.0000.3180.9991.0001.0001.0001.0001.000
전화0.9761.0000.6761.0001.0001.0001.0001.0001.000
팩스0.9661.0000.6871.0001.0001.0001.0001.0001.000
주소0.9671.0000.5681.0001.0001.0001.0001.0001.000
홈페이지0.9671.0000.6401.0001.0001.0001.0001.0001.000
2023-12-13T07:42:31.606936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번우편번호유형
연번1.000-0.1670.368
우편번호-0.1671.0000.152
유형0.3680.1521.000

Missing values

2023-12-13T07:42:25.181446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:42:25.324026image/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.
2023-12-13T07:42:25.421138image/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

연번방송사명방송국명유형대표자우편번호전화팩스주소홈페이지
01(사)고려인마을광산FM공동체라디오공동체라디오(FM)이천영62345062-961-1925<NA>광주광역시 광산구 월곡동 518-6번지gbsfm.co.kr
12(사)관악공동체라디오관악소출력공동체라디오FM방송국공동체라디오(FM)안병천875802-885-800302-883-8004서울특별시 관악구 봉천동 870-13번지 신원메트로빌 B101호 B102www.radiogfm.net
23(사)광주시민방송광주소출력공동체라디오FM방송국공동체라디오(FM)유영주61216062-531-0100062-531-0202광주시 북구 자미로 66번길 15www.icbn.or.kr
34(사)금강에프엠방송공주소출력공동체라디오FM방송국공동체라디오(FM)채종윤30056044-850-9200044-850-9209세종특별자치시 장군면 대학길 300(한국영상대학교 영상관 1층)www.kkfm.co.kr
45(사)마포공동체라디오마포소출력공동체라디오FM방송국공동체라디오(FM)송덕호399202-332-324702-332-3246서울시 마포구 성미산로88, 4층www.mapofm.net
56(사)문화복지미디어연대성남소출력공동체라디오FM방송국공동체라디오(FM)정호연13591031-703-6100031-703-3257경기 성남시 분당구 황새울로 360번길 21 신영팰리스타워 1203호www.fmnara.com
67(사)서대문공동체라디오서대문FM공동체라디오공동체라디오(FM)장수정3694<NA><NA>서울특별시 서대문구 남가좌동 74-39번지 3층<NA>
78(사)성서공동체에프엠성서공동체라디오FM방송국공동체라디오(FM)이명균42702053-585-1260053-585-1261대구광역시 달서구 달구벌대로 1208,성서빌딩 5층www.scnfm.or.kr
89(사)안산공동체미디어단원FM공동체라디오공동체라디오(FM)김이찬15374<NA>031-495-4718경기도 안산시 단원구 원곡동 822-4번지 2층<NA>
910(사)영주에프엠방송영주공동체라디오FM방송국공동체라디오(FM)송석영36077054-638-8781054-638-8780경북 영주시 영주로 209-1www.yfm.co.kr
연번방송사명방송국명유형대표자우편번호전화팩스주소홈페이지
331332한국방송공사KBS제1부산UHDTV방송국텔레비전(UHD)김의철723502-781-100002-781-1001서울특별시 영등포구 여의도동 18번지 한국방송공사www.kbs.co.kr
332333한국방송공사KBS제1대구UHDTV방송국텔레비전(UHD)김의철723502-781-100002-781-1001서울특별시 영등포구 여의도동 18번지 한국방송공사www.kbs.co.kr
333334한국방송공사KBS제1광주UHDTV방송국텔레비전(UHD)김의철723502-781-100002-781-1001서울특별시 영등포구 여의도동 18번지 한국방송공사www.kbs.co.kr
334335한국방송공사KBS제1대전UHDTV방송국텔레비전(UHD)김의철723502-781-100002-781-1001서울특별시 영등포구 여의도동 18번지 한국방송공사www.kbs.co.kr
335336한국방송공사KBS제1울산UHDTV방송국텔레비전(UHD)김의철723502-781-100002-781-1001서울특별시 영등포구 여의도동 18번지 한국방송공사www.kbs.co.kr
336337한국방송공사KBS제주제1UHDTV방송국텔레비전(UHD)김의철723502-781-100002-781-1001서울특별시 영등포구 여의도동 18번지 한국방송공사www.kbs.co.kr
337338한국방송공사KBS전주제1UHDTV방송국텔레비전(UHD)김의철723502-781-100002-781-1001서울특별시 영등포구 여의도동 18번지 한국방송공사www.kbs.co.kr
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339340한국방송공사KBS청주제1UHDTV방송국텔레비전(UHD)김의철723502-781-100002-781-1001서울특별시 영등포구 여의도동 18번지 한국방송공사www.kbs.co.kr
340341화성에프엠공동체라디오사회적협동조합화성FM공동체라디오공동체라디오(FM)최영민18478<NA><NA>경기도 화성시 오산동 산88-3번지 103동 4603호<NA>