Overview

Dataset statistics

Number of variables7
Number of observations48
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.8 KiB
Average record size in memory60.8 B

Variable types

Numeric1
Categorical4
Text1
DateTime1

Dataset

Description충청남도 보령시청에 출입하는 언론사에 대한 정보를 연번, 구분, 유형, 언론사, 출입기자수, 데이터기준일로 제공합니다.
URLhttps://www.data.go.kr/data/15113983/fileData.do

Alerts

출입기자(명) has constant value ""Constant
담당부서 has constant value ""Constant
데이터기준일 has constant value ""Constant
유형 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
구분 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
연번 is highly overall correlated with 구분 and 1 other fieldsHigh correlation
연번 has unique valuesUnique
언론사 has unique valuesUnique

Reproduction

Analysis started2023-12-12 22:35:09.105965
Analysis finished2023-12-12 22:35:09.603859
Duration0.5 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.5
Minimum1
Maximum48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2023-12-13T07:35:09.693236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.35
Q112.75
median24.5
Q336.25
95-th percentile45.65
Maximum48
Range47
Interquartile range (IQR)23.5

Descriptive statistics

Standard deviation14
Coefficient of variation (CV)0.57142857
Kurtosis-1.2
Mean24.5
Median Absolute Deviation (MAD)12
Skewness0
Sum1176
Variance196
MonotonicityStrictly increasing
2023-12-13T07:35:10.166922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
1 1
 
2.1%
26 1
 
2.1%
28 1
 
2.1%
29 1
 
2.1%
30 1
 
2.1%
31 1
 
2.1%
32 1
 
2.1%
33 1
 
2.1%
34 1
 
2.1%
35 1
 
2.1%
Other values (38) 38
79.2%
ValueCountFrequency (%)
1 1
2.1%
2 1
2.1%
3 1
2.1%
4 1
2.1%
5 1
2.1%
6 1
2.1%
7 1
2.1%
8 1
2.1%
9 1
2.1%
10 1
2.1%
ValueCountFrequency (%)
48 1
2.1%
47 1
2.1%
46 1
2.1%
45 1
2.1%
44 1
2.1%
43 1
2.1%
42 1
2.1%
41 1
2.1%
40 1
2.1%
39 1
2.1%

구분
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size516.0 B
신문
22 
인터넷
21 
통신사
5 

Length

Max length3
Median length3
Mean length2.5416667
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
신문 22
45.8%
인터넷 21
43.8%
통신사 5
 
10.4%

Length

2023-12-13T07:35:10.274290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:35:10.360780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
신문 22
45.8%
인터넷 21
43.8%
통신사 5
 
10.4%

유형
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)14.6%
Missing0
Missing (%)0.0%
Memory size516.0 B
지방일간
17 
지역
9 
지방
8 
통신사
5 
지역주간
4 
Other values (2)
5 

Length

Max length4
Median length3
Mean length3.0208333
Min length2

Unique

Unique1 ?
Unique (%)2.1%

Sample

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

Common Values

ValueCountFrequency (%)
지방일간 17
35.4%
지역 9
18.8%
지방 8
16.7%
통신사 5
 
10.4%
지역주간 4
 
8.3%
전국 4
 
8.3%
전국일간 1
 
2.1%

Length

2023-12-13T07:35:10.452398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:35:10.548451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지방일간 17
35.4%
지역 9
18.8%
지방 8
16.7%
통신사 5
 
10.4%
지역주간 4
 
8.3%
전국 4
 
8.3%
전국일간 1
 
2.1%

언론사
Text

UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size516.0 B
2023-12-13T07:35:10.770290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length4.6666667
Min length3

Characters and Unicode

Total characters224
Distinct characters78
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

Unique48 ?
Unique (%)100.0%

Sample

1st row대전일보
2nd row충청투데이
3rd row전국매일
4th row중도일보
5th row충청신문
ValueCountFrequency (%)
대전일보 1
 
2.1%
충청투데이 1
 
2.1%
인터넷대천신문 1
 
2.1%
충청탑뉴스 1
 
2.1%
뉴스스토리 1
 
2.1%
굿모닝충청 1
 
2.1%
백제뉴스 1
 
2.1%
충청뉴스 1
 
2.1%
디트뉴스 1
 
2.1%
시대포커스 1
 
2.1%
Other values (38) 38
79.2%
2023-12-13T07:35:11.122582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
보 18
 
8.0%
스 17
 
7.6%
뉴 15
 
6.7%
일 14
 
6.2%
령 10
 
4.5%
신 10
 
4.5%
충 10
 
4.5%
청 9
 
4.0%
문 7
 
3.1%
제 5
 
2.2%
Other values (68) 109
48.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 220
98.2%
Uppercase Letter 2
 
0.9%
Decimal Number 1
 
0.4%
Other Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
보 18
 
8.2%
스 17
 
7.7%
뉴 15
 
6.8%
일 14
 
6.4%
령 10
 
4.5%
신 10
 
4.5%
충 10
 
4.5%
청 9
 
4.1%
문 7
 
3.2%
제 5
 
2.3%
Other values (65) 105
47.7%
Uppercase Letter
ValueCountFrequency (%)
C 2
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 220
98.2%
Latin 2
 
0.9%
Common 2
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
보 18
 
8.2%
스 17
 
7.7%
뉴 15
 
6.8%
일 14
 
6.4%
령 10
 
4.5%
신 10
 
4.5%
충 10
 
4.5%
청 9
 
4.1%
문 7
 
3.2%
제 5
 
2.3%
Other values (65) 105
47.7%
Common
ValueCountFrequency (%)
1 1
50.0%
& 1
50.0%
Latin
ValueCountFrequency (%)
C 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 220
98.2%
ASCII 4
 
1.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
보 18
 
8.2%
스 17
 
7.7%
뉴 15
 
6.8%
일 14
 
6.4%
령 10
 
4.5%
신 10
 
4.5%
충 10
 
4.5%
청 9
 
4.1%
문 7
 
3.2%
제 5
 
2.3%
Other values (65) 105
47.7%
ASCII
ValueCountFrequency (%)
C 2
50.0%
1 1
25.0%
& 1
25.0%

출입기자(명)
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size516.0 B
1
48 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 48
100.0%

Length

2023-12-13T07:35:11.233826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:35:11.310720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 48
100.0%

담당부서
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size516.0 B
홍보미디어실
48 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
홍보미디어실 48
100.0%

Length

2023-12-13T07:35:11.384651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:35:11.460094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
홍보미디어실 48
100.0%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size516.0 B
Minimum2023-05-24 00:00:00
Maximum2023-05-24 00:00:00
2023-12-13T07:35:11.543050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:35:11.618069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-13T07:35:09.280541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T07:35:11.679265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분유형언론사
연번1.0000.9630.8931.000
구분0.9631.0001.0001.000
유형0.8931.0001.0001.000
언론사1.0001.0001.0001.000
2023-12-13T07:35:11.753258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
유형구분
유형1.0000.955
구분0.9551.000
2023-12-13T07:35:11.818279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분유형
연번1.0000.8870.707
구분0.8871.0000.955
유형0.7070.9551.000

Missing values

2023-12-13T07:35:09.412971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:35:09.531334image/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

연번구분유형언론사출입기자(명)담당부서데이터기준일
01신문지방일간대전일보1홍보미디어실2023-05-24
12신문지방일간충청투데이1홍보미디어실2023-05-24
23신문지방일간전국매일1홍보미디어실2023-05-24
34신문지방일간중도일보1홍보미디어실2023-05-24
45신문지방일간충청신문1홍보미디어실2023-05-24
56신문지방일간충청매일1홍보미디어실2023-05-24
67신문지방일간충남일보1홍보미디어실2023-05-24
78신문지방일간충청타임즈1홍보미디어실2023-05-24
89신문지방일간금강일보1홍보미디어실2023-05-24
910신문지방일간대전투데이1홍보미디어실2023-05-24
연번구분유형언론사출입기자(명)담당부서데이터기준일
3839인터넷지역C&C영상뉴스1홍보미디어실2023-05-24
3940인터넷지역보령타임즈1홍보미디어실2023-05-24
4041인터넷지역보령매일신문1홍보미디어실2023-05-24
4142인터넷지역보령엔1홍보미디어실2023-05-24
4243인터넷지역충청뉴스피플1홍보미디어실2023-05-24
4344통신사통신사연합뉴스1홍보미디어실2023-05-24
4445통신사통신사뉴스11홍보미디어실2023-05-24
4546통신사통신사뉴스프리존1홍보미디어실2023-05-24
4647통신사통신사국제뉴스통신1홍보미디어실2023-05-24
4748통신사통신사뉴시스1홍보미디어실2023-05-24