Overview

Dataset statistics

Number of variables8
Number of observations54
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.8 KiB
Average record size in memory71.4 B

Variable types

Text3
Numeric5

Dataset

Description2019년 조사 기준 언론의 공정성, 전문성, 정확성, 신뢰도, 자유도 등 언론 전반의 수행 수준 평가에 대한 데이터로써, 공정성, 전문성, 정확성, 신뢰성 등에 대한 항목을 제공합니다.
Author한국언론진흥재단
URLhttps://www.data.go.kr/data/15084715/fileData.do

Alerts

1) 우리나라 언론은 공정하다 is highly overall correlated with 3) 우리나라 언론은 정확하다 and 1 other fieldsHigh correlation
3) 우리나라 언론은 정확하다 is highly overall correlated with 1) 우리나라 언론은 공정하다 and 1 other fieldsHigh correlation
4) 우리나라 언론은 신뢰할 수 있다 is highly overall correlated with 1) 우리나라 언론은 공정하다 and 1 other fieldsHigh correlation
구분 has unique valuesUnique

Reproduction

Analysis started2023-12-12 13:12:30.125242
Analysis finished2023-12-12 13:12:33.558323
Duration3.43 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Text

UNIQUE 

Distinct54
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size564.0 B
2023-12-12T22:12:33.732641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length4.4259259
Min length3

Characters and Unicode

Total characters239
Distinct characters28
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique54 ?
Unique (%)100.0%

Sample

1st row성별1
2nd row성별2
3rd row연령1
4th row연령2
5th row연령3
ValueCountFrequency (%)
성별1 1
 
1.9%
소속부서16 1
 
1.9%
권역1 1
 
1.9%
소속부서6 1
 
1.9%
소속부서7 1
 
1.9%
소속부서8 1
 
1.9%
소속부서9 1
 
1.9%
소속부서10 1
 
1.9%
소속부서11 1
 
1.9%
소속부서12 1
 
1.9%
Other values (44) 44
81.5%
2023-12-12T22:12:34.160446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
소 29
12.1%
속 29
12.1%
1 21
 
8.8%
부 18
 
7.5%
서 18
 
7.5%
매 15
 
6.3%
체 15
 
6.3%
2 9
 
3.8%
령 7
 
2.9%
4 7
 
2.9%
Other values (18) 71
29.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 174
72.8%
Decimal Number 65
 
27.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 29
16.7%
속 29
16.7%
부 18
10.3%
서 18
10.3%
매 15
8.6%
체 15
8.6%
령 7
 
4.0%
연 7
 
4.0%
경 5
 
2.9%
위 5
 
2.9%
Other values (8) 26
14.9%
Decimal Number
ValueCountFrequency (%)
1 21
32.3%
2 9
13.8%
4 7
 
10.8%
3 7
 
10.8%
5 6
 
9.2%
6 4
 
6.2%
7 4
 
6.2%
8 3
 
4.6%
9 2
 
3.1%
0 2
 
3.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 174
72.8%
Common 65
 
27.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 29
16.7%
속 29
16.7%
부 18
10.3%
서 18
10.3%
매 15
8.6%
체 15
8.6%
령 7
 
4.0%
연 7
 
4.0%
경 5
 
2.9%
위 5
 
2.9%
Other values (8) 26
14.9%
Common
ValueCountFrequency (%)
1 21
32.3%
2 9
13.8%
4 7
 
10.8%
3 7
 
10.8%
5 6
 
9.2%
6 4
 
6.2%
7 4
 
6.2%
8 3
 
4.6%
9 2
 
3.1%
0 2
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 174
72.8%
ASCII 65
 
27.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
소 29
16.7%
속 29
16.7%
부 18
10.3%
서 18
10.3%
매 15
8.6%
체 15
8.6%
령 7
 
4.0%
연 7
 
4.0%
경 5
 
2.9%
위 5
 
2.9%
Other values (8) 26
14.9%
ASCII
ValueCountFrequency (%)
1 21
32.3%
2 9
13.8%
4 7
 
10.8%
3 7
 
10.8%
5 6
 
9.2%
6 4
 
6.2%
7 4
 
6.2%
8 3
 
4.6%
9 2
 
3.1%
0 2
 
3.1%

세부 구분
Text

Distinct52
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Memory size564.0 B
2023-12-12T22:12:34.444830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length9
Mean length5.4444444
Min length2

Characters and Unicode

Total characters294
Distinct characters104
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

Unique50 ?
Unique (%)92.6%

Sample

1st row남자
2nd row여자
3rd row20대
4th row30~34세
5th row35~39세
ValueCountFrequency (%)
인터넷언론사 2
 
3.3%
이상 2
 
3.3%
기타 2
 
3.3%
뉴스통신사 2
 
3.3%
15~19년 1
 
1.7%
지역/전국 1
 
1.7%
취재(보도)일반 1
 
1.7%
남자 1
 
1.7%
국방/통일/북한 1
 
1.7%
편집(편성)/교열부 1
 
1.7%
Other values (46) 46
76.7%
2023-12-12T22:12:34.905469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 20
 
6.8%
부 14
 
4.8%
사 11
 
3.7%
국 9
 
3.1%
4 8
 
2.7%
장 8
 
2.7%
~ 8
 
2.7%
대 7
 
2.4%
0 7
 
2.4%
일 7
 
2.4%
Other values (94) 195
66.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 217
73.8%
Decimal Number 37
 
12.6%
Other Punctuation 20
 
6.8%
Math Symbol 8
 
2.7%
Space Separator 6
 
2.0%
Open Punctuation 2
 
0.7%
Close Punctuation 2
 
0.7%
Uppercase Letter 2
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 14
 
6.5%
사 11
 
5.1%
국 9
 
4.1%
장 8
 
3.7%
대 7
 
3.2%
일 7
 
3.2%
지 6
 
2.8%
간 5
 
2.3%
년 5
 
2.3%
스 5
 
2.3%
Other values (79) 140
64.5%
Decimal Number
ValueCountFrequency (%)
4 8
21.6%
0 7
18.9%
5 5
13.5%
3 5
13.5%
1 5
13.5%
9 4
10.8%
2 2
 
5.4%
6 1
 
2.7%
Uppercase Letter
ValueCountFrequency (%)
I 1
50.0%
T 1
50.0%
Other Punctuation
ValueCountFrequency (%)
/ 20
100.0%
Math Symbol
ValueCountFrequency (%)
~ 8
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 217
73.8%
Common 75
 
25.5%
Latin 2
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 14
 
6.5%
사 11
 
5.1%
국 9
 
4.1%
장 8
 
3.7%
대 7
 
3.2%
일 7
 
3.2%
지 6
 
2.8%
간 5
 
2.3%
년 5
 
2.3%
스 5
 
2.3%
Other values (79) 140
64.5%
Common
ValueCountFrequency (%)
/ 20
26.7%
4 8
 
10.7%
~ 8
 
10.7%
0 7
 
9.3%
6
 
8.0%
5 5
 
6.7%
3 5
 
6.7%
1 5
 
6.7%
9 4
 
5.3%
( 2
 
2.7%
Other values (3) 5
 
6.7%
Latin
ValueCountFrequency (%)
I 1
50.0%
T 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 217
73.8%
ASCII 77
 
26.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 20
26.0%
4 8
 
10.4%
~ 8
 
10.4%
0 7
 
9.1%
6
 
7.8%
5 5
 
6.5%
3 5
 
6.5%
1 5
 
6.5%
9 4
 
5.2%
( 2
 
2.6%
Other values (5) 7
 
9.1%
Hangul
ValueCountFrequency (%)
부 14
 
6.5%
사 11
 
5.1%
국 9
 
4.1%
장 8
 
3.7%
대 7
 
3.2%
일 7
 
3.2%
지 6
 
2.8%
간 5
 
2.3%
년 5
 
2.3%
스 5
 
2.3%
Other values (79) 140
64.5%

사례수
Text

Distinct50
Distinct (%)92.6%
Missing0
Missing (%)0.0%
Memory size564.0 B
2023-12-12T22:12:35.212735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length2.8703704
Min length2

Characters and Unicode

Total characters155
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

Unique46 ?
Unique (%)85.2%

Sample

1st row1,424
2nd row532
3rd row279
4th row420
5th row362
ValueCountFrequency (%)
10 2
 
3.7%
390 2
 
3.7%
144 2
 
3.7%
40 2
 
3.7%
155 1
 
1.9%
76 1
 
1.9%
1,424 1
 
1.9%
143 1
 
1.9%
125 1
 
1.9%
14 1
 
1.9%
Other values (40) 40
74.1%
2023-12-12T22:12:35.661955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 26
16.8%
4 23
14.8%
2 21
13.5%
3 19
12.3%
0 17
11.0%
9 11
7.1%
8 11
7.1%
5 10
 
6.5%
6 8
 
5.2%
7 5
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 151
97.4%
Other Punctuation 4
 
2.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 26
17.2%
4 23
15.2%
2 21
13.9%
3 19
12.6%
0 17
11.3%
9 11
7.3%
8 11
7.3%
5 10
 
6.6%
6 8
 
5.3%
7 5
 
3.3%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 155
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 26
16.8%
4 23
14.8%
2 21
13.5%
3 19
12.3%
0 17
11.0%
9 11
7.1%
8 11
7.1%
5 10
 
6.5%
6 8
 
5.2%
7 5
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 155
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 26
16.8%
4 23
14.8%
2 21
13.5%
3 19
12.3%
0 17
11.0%
9 11
7.1%
8 11
7.1%
5 10
 
6.5%
6 8
 
5.2%
7 5
 
3.2%

1) 우리나라 언론은 공정하다
Real number (ℝ)

HIGH CORRELATION 

Distinct30
Distinct (%)55.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.5307407
Minimum2.13
Maximum2.84
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size618.0 B
2023-12-12T22:12:35.821133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.13
5-th percentile2.339
Q12.46
median2.54
Q32.6
95-th percentile2.7935
Maximum2.84
Range0.71
Interquartile range (IQR)0.14

Descriptive statistics

Standard deviation0.13249211
Coefficient of variation (CV)0.052353093
Kurtosis1.5369039
Mean2.5307407
Median Absolute Deviation (MAD)0.07
Skewness-0.23968999
Sum136.66
Variance0.017554158
MonotonicityNot monotonic
2023-12-12T22:12:35.978317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
2.54 4
 
7.4%
2.46 4
 
7.4%
2.55 4
 
7.4%
2.6 4
 
7.4%
2.52 3
 
5.6%
2.53 3
 
5.6%
2.36 3
 
5.6%
2.45 2
 
3.7%
2.57 2
 
3.7%
2.65 2
 
3.7%
Other values (20) 23
42.6%
ValueCountFrequency (%)
2.13 1
 
1.9%
2.22 1
 
1.9%
2.3 1
 
1.9%
2.36 3
5.6%
2.38 1
 
1.9%
2.42 1
 
1.9%
2.43 1
 
1.9%
2.44 1
 
1.9%
2.45 2
3.7%
2.46 4
7.4%
ValueCountFrequency (%)
2.84 1
 
1.9%
2.82 1
 
1.9%
2.8 1
 
1.9%
2.79 1
 
1.9%
2.66 2
3.7%
2.65 2
3.7%
2.63 1
 
1.9%
2.62 1
 
1.9%
2.61 1
 
1.9%
2.6 4
7.4%

2) 우리나라 언론은 전문적이다
Real number (ℝ)

Distinct26
Distinct (%)48.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.6748148
Minimum2.38
Maximum2.93
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size618.0 B
2023-12-12T22:12:36.104018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.38
5-th percentile2.439
Q12.64
median2.69
Q32.7375
95-th percentile2.79
Maximum2.93
Range0.55
Interquartile range (IQR)0.0975

Descriptive statistics

Standard deviation0.10886621
Coefficient of variation (CV)0.040700467
Kurtosis1.4011805
Mean2.6748148
Median Absolute Deviation (MAD)0.05
Skewness-0.80562156
Sum144.44
Variance0.011851852
MonotonicityNot monotonic
2023-12-12T22:12:36.235491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
2.69 4
 
7.4%
2.72 4
 
7.4%
2.79 4
 
7.4%
2.65 4
 
7.4%
2.64 4
 
7.4%
2.67 3
 
5.6%
2.71 3
 
5.6%
2.7 2
 
3.7%
2.52 2
 
3.7%
2.66 2
 
3.7%
Other values (16) 22
40.7%
ValueCountFrequency (%)
2.38 1
 
1.9%
2.4 2
3.7%
2.46 1
 
1.9%
2.51 1
 
1.9%
2.52 2
3.7%
2.57 1
 
1.9%
2.6 1
 
1.9%
2.63 2
3.7%
2.64 4
7.4%
2.65 4
7.4%
ValueCountFrequency (%)
2.93 1
 
1.9%
2.88 1
 
1.9%
2.79 4
7.4%
2.78 2
3.7%
2.77 2
3.7%
2.76 1
 
1.9%
2.75 2
3.7%
2.74 1
 
1.9%
2.73 1
 
1.9%
2.72 4
7.4%

3) 우리나라 언론은 정확하다
Real number (ℝ)

HIGH CORRELATION 

Distinct29
Distinct (%)53.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.7588889
Minimum2.45
Maximum2.94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size618.0 B
2023-12-12T22:12:36.355973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.45
5-th percentile2.6065
Q12.72
median2.77
Q32.81
95-th percentile2.9105
Maximum2.94
Range0.49
Interquartile range (IQR)0.09

Descriptive statistics

Standard deviation0.095278473
Coefficient of variation (CV)0.034535089
Kurtosis1.8079783
Mean2.7588889
Median Absolute Deviation (MAD)0.04
Skewness-0.8637258
Sum148.98
Variance0.0090779874
MonotonicityNot monotonic
2023-12-12T22:12:36.506754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
2.81 6
 
11.1%
2.79 5
 
9.3%
2.75 5
 
9.3%
2.72 4
 
7.4%
2.74 3
 
5.6%
2.78 2
 
3.7%
2.8 2
 
3.7%
2.84 2
 
3.7%
2.73 2
 
3.7%
2.61 2
 
3.7%
Other values (19) 21
38.9%
ValueCountFrequency (%)
2.45 1
1.9%
2.5 1
1.9%
2.6 1
1.9%
2.61 2
3.7%
2.64 1
1.9%
2.65 1
1.9%
2.66 1
1.9%
2.67 1
1.9%
2.69 1
1.9%
2.71 1
1.9%
ValueCountFrequency (%)
2.94 1
 
1.9%
2.93 2
 
3.7%
2.9 1
 
1.9%
2.87 1
 
1.9%
2.86 1
 
1.9%
2.85 1
 
1.9%
2.84 2
 
3.7%
2.83 1
 
1.9%
2.82 1
 
1.9%
2.81 6
11.1%

4) 우리나라 언론은 신뢰할 수 있다
Real number (ℝ)

HIGH CORRELATION 

Distinct30
Distinct (%)55.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.7966667
Minimum2.45
Maximum3.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size618.0 B
2023-12-12T22:12:36.641715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.45
5-th percentile2.6265
Q12.72
median2.805
Q32.8675
95-th percentile3.0135
Maximum3.1
Range0.65
Interquartile range (IQR)0.1475

Descriptive statistics

Standard deviation0.12070547
Coefficient of variation (CV)0.043160479
Kurtosis0.77575306
Mean2.7966667
Median Absolute Deviation (MAD)0.075
Skewness0.0067738759
Sum151.02
Variance0.014569811
MonotonicityNot monotonic
2023-12-12T22:12:36.780773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
2.81 5
 
9.3%
2.73 3
 
5.6%
2.79 3
 
5.6%
2.66 3
 
5.6%
2.88 3
 
5.6%
2.9 3
 
5.6%
2.85 3
 
5.6%
2.87 2
 
3.7%
2.67 2
 
3.7%
2.77 2
 
3.7%
Other values (20) 25
46.3%
ValueCountFrequency (%)
2.45 1
 
1.9%
2.58 1
 
1.9%
2.62 1
 
1.9%
2.63 1
 
1.9%
2.66 3
5.6%
2.67 2
3.7%
2.68 2
3.7%
2.71 2
3.7%
2.72 2
3.7%
2.73 3
5.6%
ValueCountFrequency (%)
3.1 1
 
1.9%
3.04 1
 
1.9%
3.02 1
 
1.9%
3.01 1
 
1.9%
3.0 1
 
1.9%
2.93 1
 
1.9%
2.9 3
5.6%
2.88 3
5.6%
2.87 2
3.7%
2.86 1
 
1.9%

5) 우리나라는 언론활동이 자유롭다
Real number (ℝ)

Distinct32
Distinct (%)59.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.3372222
Minimum2.91
Maximum3.71
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size618.0 B
2023-12-12T22:12:36.964242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.91
5-th percentile3.1495
Q13.25
median3.33
Q33.4575
95-th percentile3.5
Maximum3.71
Range0.8
Interquartile range (IQR)0.2075

Descriptive statistics

Standard deviation0.14083868
Coefficient of variation (CV)0.042202369
Kurtosis1.0265769
Mean3.3372222
Median Absolute Deviation (MAD)0.09
Skewness-0.22169785
Sum180.21
Variance0.019835535
MonotonicityNot monotonic
2023-12-12T22:12:37.161707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
3.24 4
 
7.4%
3.46 4
 
7.4%
3.26 3
 
5.6%
3.5 3
 
5.6%
3.27 3
 
5.6%
3.47 2
 
3.7%
3.17 2
 
3.7%
3.25 2
 
3.7%
3.35 2
 
3.7%
3.4 2
 
3.7%
Other values (22) 27
50.0%
ValueCountFrequency (%)
2.91 1
 
1.9%
3.03 1
 
1.9%
3.13 1
 
1.9%
3.16 1
 
1.9%
3.17 2
3.7%
3.21 1
 
1.9%
3.22 1
 
1.9%
3.23 1
 
1.9%
3.24 4
7.4%
3.25 2
3.7%
ValueCountFrequency (%)
3.71 1
 
1.9%
3.61 1
 
1.9%
3.5 3
5.6%
3.49 2
3.7%
3.48 1
 
1.9%
3.47 2
3.7%
3.46 4
7.4%
3.45 1
 
1.9%
3.44 1
 
1.9%
3.42 2
3.7%

Interactions

2023-12-12T22:12:32.926808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:12:30.467194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:12:31.032225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:12:31.965288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:12:32.478229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:12:33.022041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:12:30.584272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:12:31.165064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:12:32.069381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:12:32.580683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:12:33.102725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:12:30.674589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:12:31.276081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:12:32.168068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:12:32.671735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:12:33.181218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:12:30.765330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:12:31.380877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:12:32.263345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:12:32.753785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:12:33.267891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:12:30.891868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:12:31.502838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:12:32.375772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:12:32.835121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T22:12:37.280096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분세부 구분사례수1) 우리나라 언론은 공정하다2) 우리나라 언론은 전문적이다3) 우리나라 언론은 정확하다4) 우리나라 언론은 신뢰할 수 있다5) 우리나라는 언론활동이 자유롭다
구분1.0001.0001.0001.0001.0001.0001.0001.000
세부 구분1.0001.0001.0001.0001.0001.0001.0001.000
사례수1.0001.0001.0000.0000.9180.0000.0000.993
1) 우리나라 언론은 공정하다1.0001.0000.0001.0000.8040.9440.8440.000
2) 우리나라 언론은 전문적이다1.0001.0000.9180.8041.0000.7260.7460.561
3) 우리나라 언론은 정확하다1.0001.0000.0000.9440.7261.0000.8810.166
4) 우리나라 언론은 신뢰할 수 있다1.0001.0000.0000.8440.7460.8811.0000.000
5) 우리나라는 언론활동이 자유롭다1.0001.0000.9930.0000.5610.1660.0001.000
2023-12-12T22:12:37.455005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
1) 우리나라 언론은 공정하다2) 우리나라 언론은 전문적이다3) 우리나라 언론은 정확하다4) 우리나라 언론은 신뢰할 수 있다5) 우리나라는 언론활동이 자유롭다
1) 우리나라 언론은 공정하다1.0000.4830.7640.6850.327
2) 우리나라 언론은 전문적이다0.4831.0000.4370.370-0.085
3) 우리나라 언론은 정확하다0.7640.4371.0000.7160.040
4) 우리나라 언론은 신뢰할 수 있다0.6850.3700.7161.0000.036
5) 우리나라는 언론활동이 자유롭다0.327-0.0850.0400.0361.000

Missing values

2023-12-12T22:12:33.388610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:12:33.507798image/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

구분세부 구분사례수1) 우리나라 언론은 공정하다2) 우리나라 언론은 전문적이다3) 우리나라 언론은 정확하다4) 우리나라 언론은 신뢰할 수 있다5) 우리나라는 언론활동이 자유롭다
0성별1남자1,4242.542.692.782.813.37
1성별2여자5322.462.672.722.793.17
2연령120대2792.422.572.722.793.26
3연령230~34세4202.522.72.772.853.26
4연령335~39세3622.492.672.752.813.17
5연령440~44세2722.522.692.722.813.31
6연령545~49세2182.632.722.872.823.49
7연령650대3502.522.692.752.713.45
8연령760대 이상552.842.932.933.023.31
9매체유형1신문사1,0292.552.722.812.873.28
구분세부 구분사례수1) 우리나라 언론은 공정하다2) 우리나라 언론은 전문적이다3) 우리나라 언론은 정확하다4) 우리나라 언론은 신뢰할 수 있다5) 우리나라는 언론활동이 자유롭다
44직위3부장/부장대우2642.62.742.792.83.4
45직위4차장/차장대우3802.552.722.792.833.35
46직위5평기자1,0402.482.642.742.813.24
47경력11~4년4642.462.632.692.773.25
48경력25~9년4912.532.662.812.863.22
49경력310~14년3172.542.732.792.883.27
50경력415~19년2832.572.752.812.833.41
51경력520년 이상4012.532.682.742.713.46
52권역1서울1,3922.462.642.732.773.33
53권역2그 외 지역5642.662.792.842.93.27