Overview

Dataset statistics

Number of variables5
Number of observations42
Missing cells17
Missing cells (%)8.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.8 KiB
Average record size in memory44.1 B

Variable types

Text3
Numeric1
DateTime1

Dataset

Description제주특별자치도청 내에 출입 가능한 지방 언론사 현황 데이터로 언론사, 출입기자수, 전화번호, 팩스번호 정보를 제공합니다.
Author제주특별자치도
URLhttps://www.data.go.kr/data/15045464/fileData.do

Alerts

팩스번호 has 16 (38.1%) missing valuesMissing
데이터기준일자 has 1 (2.4%) missing valuesMissing
언론사 has unique valuesUnique

Reproduction

Analysis started2023-12-12 03:31:26.773649
Analysis finished2023-12-12 03:31:27.459813
Duration0.69 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

언론사
Text

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size468.0 B
2023-12-12T12:31:27.669934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length4.2380952
Min length3

Characters and Unicode

Total characters178
Distinct characters66
Distinct categories3 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique42 ?
Unique (%)100.0%

Sample

1st row제민일보
2nd row뉴제주일보
3rd row한라일보
4th row제주매일
5th row제주신문
ValueCountFrequency (%)
제민일보 1
 
2.4%
동아일보 1
 
2.4%
뉴시스 1
 
2.4%
채널제주 1
 
2.4%
컬쳐제주 1
 
2.4%
일간제주 1
 
2.4%
제주경제일보 1
 
2.4%
제주환경일보 1
 
2.4%
국제뉴스 1
 
2.4%
경향신문 1
 
2.4%
Other values (32) 32
76.2%
2023-12-12T12:31:28.124777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
제 24
 
13.5%
주 19
 
10.7%
일 16
 
9.0%
보 13
 
7.3%
뉴 9
 
5.1%
스 8
 
4.5%
경 4
 
2.2%
B 4
 
2.2%
문 3
 
1.7%
민 3
 
1.7%
Other values (56) 75
42.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 156
87.6%
Uppercase Letter 21
 
11.8%
Decimal Number 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 24
15.4%
주 19
 
12.2%
일 16
 
10.3%
보 13
 
8.3%
뉴 9
 
5.8%
스 8
 
5.1%
경 4
 
2.6%
문 3
 
1.9%
민 3
 
1.9%
국 3
 
1.9%
Other values (44) 54
34.6%
Uppercase Letter
ValueCountFrequency (%)
B 4
19.0%
S 3
14.3%
C 3
14.3%
N 2
9.5%
T 2
9.5%
K 2
9.5%
Y 1
 
4.8%
V 1
 
4.8%
M 1
 
4.8%
J 1
 
4.8%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 156
87.6%
Latin 21
 
11.8%
Common 1
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 24
15.4%
주 19
 
12.2%
일 16
 
10.3%
보 13
 
8.3%
뉴 9
 
5.8%
스 8
 
5.1%
경 4
 
2.6%
문 3
 
1.9%
민 3
 
1.9%
국 3
 
1.9%
Other values (44) 54
34.6%
Latin
ValueCountFrequency (%)
B 4
19.0%
S 3
14.3%
C 3
14.3%
N 2
9.5%
T 2
9.5%
K 2
9.5%
Y 1
 
4.8%
V 1
 
4.8%
M 1
 
4.8%
J 1
 
4.8%
Common
ValueCountFrequency (%)
1 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 156
87.6%
ASCII 22
 
12.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
제 24
15.4%
주 19
 
12.2%
일 16
 
10.3%
보 13
 
8.3%
뉴 9
 
5.8%
스 8
 
5.1%
경 4
 
2.6%
문 3
 
1.9%
민 3
 
1.9%
국 3
 
1.9%
Other values (44) 54
34.6%
ASCII
ValueCountFrequency (%)
B 4
18.2%
S 3
13.6%
C 3
13.6%
N 2
9.1%
T 2
9.1%
K 2
9.1%
Y 1
 
4.5%
V 1
 
4.5%
M 1
 
4.5%
J 1
 
4.5%
Other values (2) 2
9.1%

출입기자수
Real number (ℝ)

Distinct6
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.7619048
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-12T12:31:28.260257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile4.95
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.3935308
Coefficient of variation (CV)0.79092287
Kurtosis1.6917325
Mean1.7619048
Median Absolute Deviation (MAD)0
Skewness1.6981237
Sum74
Variance1.941928
MonotonicityNot monotonic
2023-12-12T12:31:28.428181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 30
71.4%
4 4
 
9.5%
2 3
 
7.1%
5 2
 
4.8%
3 2
 
4.8%
6 1
 
2.4%
ValueCountFrequency (%)
1 30
71.4%
2 3
 
7.1%
3 2
 
4.8%
4 4
 
9.5%
5 2
 
4.8%
6 1
 
2.4%
ValueCountFrequency (%)
6 1
 
2.4%
5 2
 
4.8%
4 4
 
9.5%
3 2
 
4.8%
2 3
 
7.1%
1 30
71.4%

전화번호
Text

Distinct41
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size468.0 B
2023-12-12T12:31:28.663327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.857143
Min length9

Characters and Unicode

Total characters498
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

Unique40 ?
Unique (%)95.2%

Sample

1st row064-741-3111
2nd row064-757-3114
3rd row064-750-2280
4th row064-747-8111
5th row064-744-7220
ValueCountFrequency (%)
064-710-3711 2
 
4.8%
064-900-1004 1
 
2.4%
064-713-6992 1
 
2.4%
064-744-6669 1
 
2.4%
064-711-1090 1
 
2.4%
064-743-5456 1
 
2.4%
064-751-1828 1
 
2.4%
064-758-0225 1
 
2.4%
064-710-3703 1
 
2.4%
064-710-3713 1
 
2.4%
Other values (31) 31
73.8%
2023-12-12T12:31:29.107938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 82
16.5%
0 81
16.3%
4 74
14.9%
7 62
12.4%
1 56
11.2%
6 52
10.4%
2 24
 
4.8%
3 21
 
4.2%
5 17
 
3.4%
8 17
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 416
83.5%
Dash Punctuation 82
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 81
19.5%
4 74
17.8%
7 62
14.9%
1 56
13.5%
6 52
12.5%
2 24
 
5.8%
3 21
 
5.0%
5 17
 
4.1%
8 17
 
4.1%
9 12
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
- 82
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 498
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 82
16.5%
0 81
16.3%
4 74
14.9%
7 62
12.4%
1 56
11.2%
6 52
10.4%
2 24
 
4.8%
3 21
 
4.2%
5 17
 
3.4%
8 17
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 498
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 82
16.5%
0 81
16.3%
4 74
14.9%
7 62
12.4%
1 56
11.2%
6 52
10.4%
2 24
 
4.8%
3 21
 
4.2%
5 17
 
3.4%
8 17
 
3.4%

팩스번호
Text

MISSING 

Distinct26
Distinct (%)100.0%
Missing16
Missing (%)38.1%
Memory size468.0 B
2023-12-12T12:31:29.381993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.038462
Min length12

Characters and Unicode

Total characters313
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

Unique26 ?
Unique (%)100.0%

Sample

1st row064-741-3117
2nd row064-756-7114
3rd row064-752-9790
4th row064-742-4607
5th row064-744-7226
ValueCountFrequency (%)
064-711-7023 1
 
3.8%
064-752-9790 1
 
3.8%
064-725-3458 1
 
3.8%
064-744-0122 1
 
3.8%
064-759-4333 1
 
3.8%
064-744-9602 1
 
3.8%
064-744-6931 1
 
3.8%
064-713-6993 1
 
3.8%
064-751-9524 1
 
3.8%
064-900-1004 1
 
3.8%
Other values (16) 16
61.5%
2023-12-12T12:31:29.826086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 57
18.2%
- 52
16.6%
0 42
13.4%
7 39
12.5%
6 37
11.8%
1 17
 
5.4%
2 17
 
5.4%
9 15
 
4.8%
3 13
 
4.2%
5 13
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 261
83.4%
Dash Punctuation 52
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 57
21.8%
0 42
16.1%
7 39
14.9%
6 37
14.2%
1 17
 
6.5%
2 17
 
6.5%
9 15
 
5.7%
3 13
 
5.0%
5 13
 
5.0%
8 11
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 52
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 313
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 57
18.2%
- 52
16.6%
0 42
13.4%
7 39
12.5%
6 37
11.8%
1 17
 
5.4%
2 17
 
5.4%
9 15
 
4.8%
3 13
 
4.2%
5 13
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 313
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 57
18.2%
- 52
16.6%
0 42
13.4%
7 39
12.5%
6 37
11.8%
1 17
 
5.4%
2 17
 
5.4%
9 15
 
4.8%
3 13
 
4.2%
5 13
 
4.2%

데이터기준일자
Date

MISSING 

Distinct2
Distinct (%)4.9%
Missing1
Missing (%)2.4%
Memory size468.0 B
Minimum2022-11-17 00:00:00
Maximum2023-06-12 00:00:00
2023-12-12T12:31:29.965748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:31:30.078647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

Interactions

2023-12-12T12:31:27.017268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T12:31:30.164847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
언론사출입기자수전화번호팩스번호데이터기준일자
언론사1.0001.0001.0001.0001.000
출입기자수1.0001.0001.0001.0000.840
전화번호1.0001.0001.0001.0001.000
팩스번호1.0001.0001.0001.0001.000
데이터기준일자1.0000.8401.0001.0001.000

Missing values

2023-12-12T12:31:27.168027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T12:31:27.293110image/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.
2023-12-12T12:31:27.406700image/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

언론사출입기자수전화번호팩스번호데이터기준일자
0제민일보5064-741-3111064-741-31172023-06-12
1뉴제주일보4064-757-3114064-756-71142022-11-17
2한라일보4064-750-2280064-752-97902022-11-17
3제주매일3064-747-8111064-742-46072022-11-17
4제주신문2064-744-7220064-744-72262022-11-17
5제주일보6064-740-6331064-740-65002022-11-17
6KBS5064-740-7420064-740-74992022-11-17
7MBC4064-740-2541064-742-03532022-11-17
8JIBS4064-740-7964064-744-66322022-11-17
9KCTV3064-741-7760064-741-77292022-11-17
언론사출입기자수전화번호팩스번호데이터기준일자
32세계일보1064-710-3705<NA>2022-11-17
33조선일보1064-710-3721<NA>2022-11-17
34한겨레1064-710-3708<NA>2022-11-17
35중앙일보1064-710-3702<NA>2022-11-17
36한국일보1064-710-3712<NA>2022-11-17
37국민일보1064-710-3711<NA>2022-11-17
38YTN1064-744-9600064-744-96022022-11-17
39연합뉴스1064-710-3710064-759-43332022-11-17
40뉴시스1064-744-0022064-744-01222022-11-17
41뉴스11064-755-1728064-727-87782022-11-17