Overview

Dataset statistics

Number of variables10
Number of observations54
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.8 KiB
Average record size in memory90.4 B

Variable types

Text2
Numeric8

Dataset

Description언론인 의식조사 관련 "언론역할의중요도평가"에 관한 자료입니다. 자세한 내용은 재단 홈페이지에 방문하여 확인 바랍니다.
Author한국언론진흥재단
URLhttps://www.data.go.kr/data/15060156/fileData.do

Alerts

사회 현안에 대한 정확한 정보 제공 is highly overall correlated with 중요 사회 문제를 의제로 제시 and 2 other fieldsHigh correlation
사회 현안에 대한 다양한 의견 제시 is highly overall correlated with 사회적 약자 대변High correlation
중요 사회 문제를 의제로 제시 is highly overall correlated with 사회 현안에 대한 정확한 정보 제공 and 3 other fieldsHigh correlation
정부공인에 대한 비판 및 감시 is highly overall correlated with 사회 현안에 대한 정확한 정보 제공 and 3 other fieldsHigh correlation
기업 활동에 대한 비판 및 감시 is highly overall correlated with 사회 현안에 대한 정확한 정보 제공 and 3 other fieldsHigh correlation
사회적 약자 대변 is highly overall correlated with 사회 현안에 대한 다양한 의견 제시 and 3 other fieldsHigh correlation
구분 has unique valuesUnique

Reproduction

Analysis started2024-03-14 10:43:58.962225
Analysis finished2024-03-14 10:44:15.602825
Duration16.64 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Text

UNIQUE 

Distinct54
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size560.0 B
2024-03-14T19:44:16.390328image/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%
2024-03-14T19:44:17.819084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
29
12.1%
29
12.1%
1 21
 
8.8%
18
 
7.5%
18
 
7.5%
15
 
6.3%
15
 
6.3%
2 9
 
3.8%
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 (%)
29
16.7%
29
16.7%
18
10.3%
18
10.3%
15
8.6%
15
8.6%
7
 
4.0%
7
 
4.0%
5
 
2.9%
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 (%)
29
16.7%
29
16.7%
18
10.3%
18
10.3%
15
8.6%
15
8.6%
7
 
4.0%
7
 
4.0%
5
 
2.9%
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 (%)
29
16.7%
29
16.7%
18
10.3%
18
10.3%
15
8.6%
15
8.6%
7
 
4.0%
7
 
4.0%
5
 
2.9%
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%
Distinct52
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Memory size560.0 B
2024-03-14T19:44:18.842165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length9
Mean length5.5555556
Min length2

Characters and Unicode

Total characters300
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 (%)
뉴스통신사 2
 
3.4%
이상 2
 
3.4%
인터넷언론사 2
 
3.4%
1
 
1.7%
영상부 1
 
1.7%
남자 1
 
1.7%
기타 1
 
1.7%
국방/통일/북한 1
 
1.7%
편집(편성)/교열부 1
 
1.7%
여론/독자/심의부 1
 
1.7%
Other values (45) 45
77.6%
2024-03-14T19:44:20.188838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 20
 
6.7%
14
 
4.7%
11
 
3.7%
10
 
3.3%
4 8
 
2.7%
~ 8
 
2.7%
8
 
2.7%
7
 
2.3%
7
 
2.3%
0 7
 
2.3%
Other values (94) 200
66.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 223
74.3%
Decimal Number 36
 
12.0%
Other Punctuation 20
 
6.7%
Math Symbol 8
 
2.7%
Uppercase Letter 5
 
1.7%
Space Separator 4
 
1.3%
Close Punctuation 2
 
0.7%
Open Punctuation 2
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
14
 
6.3%
11
 
4.9%
10
 
4.5%
8
 
3.6%
7
 
3.1%
7
 
3.1%
6
 
2.7%
5
 
2.2%
5
 
2.2%
5
 
2.2%
Other values (79) 145
65.0%
Decimal Number
ValueCountFrequency (%)
4 8
22.2%
0 7
19.4%
5 5
13.9%
1 5
13.9%
9 4
11.1%
3 4
11.1%
2 2
 
5.6%
6 1
 
2.8%
Uppercase Letter
ValueCountFrequency (%)
I 4
80.0%
T 1
 
20.0%
Other Punctuation
ValueCountFrequency (%)
/ 20
100.0%
Math Symbol
ValueCountFrequency (%)
~ 8
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 223
74.3%
Common 72
 
24.0%
Latin 5
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
14
 
6.3%
11
 
4.9%
10
 
4.5%
8
 
3.6%
7
 
3.1%
7
 
3.1%
6
 
2.7%
5
 
2.2%
5
 
2.2%
5
 
2.2%
Other values (79) 145
65.0%
Common
ValueCountFrequency (%)
/ 20
27.8%
4 8
 
11.1%
~ 8
 
11.1%
0 7
 
9.7%
5 5
 
6.9%
1 5
 
6.9%
9 4
 
5.6%
4
 
5.6%
3 4
 
5.6%
) 2
 
2.8%
Other values (3) 5
 
6.9%
Latin
ValueCountFrequency (%)
I 4
80.0%
T 1
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 223
74.3%
ASCII 77
 
25.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 20
26.0%
4 8
 
10.4%
~ 8
 
10.4%
0 7
 
9.1%
5 5
 
6.5%
1 5
 
6.5%
9 4
 
5.2%
4
 
5.2%
3 4
 
5.2%
I 4
 
5.2%
Other values (5) 8
 
10.4%
Hangul
ValueCountFrequency (%)
14
 
6.3%
11
 
4.9%
10
 
4.5%
8
 
3.6%
7
 
3.1%
7
 
3.1%
6
 
2.7%
5
 
2.2%
5
 
2.2%
5
 
2.2%
Other values (79) 145
65.0%

사례수
Real number (ℝ)

Distinct50
Distinct (%)92.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean297.92593
Minimum8
Maximum1392
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size614.0 B
2024-03-14T19:44:20.580558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile19.85
Q177.25
median206
Q3404.25
95-th percentile1034.45
Maximum1392
Range1384
Interquartile range (IQR)327

Descriptive statistics

Standard deviation312.37307
Coefficient of variation (CV)1.0484924
Kurtosis4.5902915
Mean297.92593
Median Absolute Deviation (MAD)159
Skewness2.0456416
Sum16088
Variance97576.938
MonotonicityNot monotonic
2024-03-14T19:44:21.022576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
457 3
 
5.6%
160 2
 
3.7%
406 2
 
3.7%
1376 1
 
1.9%
71 1
 
1.9%
12 1
 
1.9%
87 1
 
1.9%
14 1
 
1.9%
34 1
 
1.9%
52 1
 
1.9%
Other values (40) 40
74.1%
ValueCountFrequency (%)
8 1
1.9%
12 1
1.9%
14 1
1.9%
23 1
1.9%
26 1
1.9%
33 1
1.9%
34 1
1.9%
44 1
1.9%
50 1
1.9%
52 1
1.9%
ValueCountFrequency (%)
1392 1
 
1.9%
1376 1
 
1.9%
1065 1
 
1.9%
1018 1
 
1.9%
635 1
 
1.9%
619 1
 
1.9%
457 3
5.6%
449 1
 
1.9%
432 1
 
1.9%
426 1
 
1.9%

사회 현안에 대한 정확한 정보 제공
Real number (ℝ)

HIGH CORRELATION 

Distinct23
Distinct (%)42.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.3959259
Minimum3.99
Maximum4.83
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size614.0 B
2024-03-14T19:44:21.428136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.99
5-th percentile4.2765
Q14.35
median4.39
Q34.42
95-th percentile4.54
Maximum4.83
Range0.84
Interquartile range (IQR)0.07

Descriptive statistics

Standard deviation0.1091566
Coefficient of variation (CV)0.024831311
Kurtosis6.7813128
Mean4.3959259
Median Absolute Deviation (MAD)0.04
Skewness0.36746201
Sum237.38
Variance0.011915164
MonotonicityNot monotonic
2024-03-14T19:44:21.980388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
4.35 7
 
13.0%
4.39 5
 
9.3%
4.38 4
 
7.4%
4.4 4
 
7.4%
4.42 3
 
5.6%
4.41 3
 
5.6%
4.33 3
 
5.6%
4.36 3
 
5.6%
4.49 2
 
3.7%
4.28 2
 
3.7%
Other values (13) 18
33.3%
ValueCountFrequency (%)
3.99 1
 
1.9%
4.24 1
 
1.9%
4.27 1
 
1.9%
4.28 2
 
3.7%
4.32 2
 
3.7%
4.33 3
5.6%
4.34 1
 
1.9%
4.35 7
13.0%
4.36 3
5.6%
4.37 1
 
1.9%
ValueCountFrequency (%)
4.83 1
 
1.9%
4.56 1
 
1.9%
4.54 2
3.7%
4.53 2
3.7%
4.52 2
3.7%
4.49 2
3.7%
4.45 2
3.7%
4.44 1
 
1.9%
4.42 3
5.6%
4.41 3
5.6%

사회 현안에 대한 다양한 의견 제시
Real number (ℝ)

HIGH CORRELATION 

Distinct26
Distinct (%)48.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.1344444
Minimum3.79
Maximum4.39
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size614.0 B
2024-03-14T19:44:22.348333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.79
5-th percentile4.01
Q14.1
median4.13
Q34.18
95-th percentile4.2435
Maximum4.39
Range0.6
Interquartile range (IQR)0.08

Descriptive statistics

Standard deviation0.088800533
Coefficient of variation (CV)0.021478226
Kurtosis4.4370626
Mean4.1344444
Median Absolute Deviation (MAD)0.04
Skewness-0.69984539
Sum223.26
Variance0.0078855346
MonotonicityNot monotonic
2024-03-14T19:44:22.745864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
4.13 6
 
11.1%
4.16 5
 
9.3%
4.12 5
 
9.3%
4.21 4
 
7.4%
4.18 3
 
5.6%
4.15 3
 
5.6%
4.1 3
 
5.6%
4.01 2
 
3.7%
4.08 2
 
3.7%
4.09 2
 
3.7%
Other values (16) 19
35.2%
ValueCountFrequency (%)
3.79 1
 
1.9%
3.95 1
 
1.9%
4.01 2
3.7%
4.02 1
 
1.9%
4.03 1
 
1.9%
4.04 1
 
1.9%
4.07 1
 
1.9%
4.08 2
3.7%
4.09 2
3.7%
4.1 3
5.6%
ValueCountFrequency (%)
4.39 1
 
1.9%
4.33 1
 
1.9%
4.25 1
 
1.9%
4.24 1
 
1.9%
4.22 1
 
1.9%
4.21 4
7.4%
4.2 2
3.7%
4.19 1
 
1.9%
4.18 3
5.6%
4.17 1
 
1.9%
Distinct31
Distinct (%)57.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.7605556
Minimum3.43
Maximum4.17
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size614.0 B
2024-03-14T19:44:23.138857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.43
5-th percentile3.5965
Q13.6825
median3.75
Q33.8275
95-th percentile3.968
Maximum4.17
Range0.74
Interquartile range (IQR)0.145

Descriptive statistics

Standard deviation0.12908117
Coefficient of variation (CV)0.034325028
Kurtosis2.0853387
Mean3.7605556
Median Absolute Deviation (MAD)0.075
Skewness0.72989828
Sum203.07
Variance0.01666195
MonotonicityNot monotonic
2024-03-14T19:44:23.583864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
3.71 4
 
7.4%
3.76 4
 
7.4%
3.8 3
 
5.6%
3.72 3
 
5.6%
3.74 3
 
5.6%
3.82 3
 
5.6%
3.83 3
 
5.6%
3.66 2
 
3.7%
3.85 2
 
3.7%
3.61 2
 
3.7%
Other values (21) 25
46.3%
ValueCountFrequency (%)
3.43 1
1.9%
3.56 1
1.9%
3.59 1
1.9%
3.6 1
1.9%
3.61 2
3.7%
3.63 1
1.9%
3.64 2
3.7%
3.66 2
3.7%
3.67 2
3.7%
3.68 1
1.9%
ValueCountFrequency (%)
4.17 1
 
1.9%
4.12 1
 
1.9%
4.02 1
 
1.9%
3.94 1
 
1.9%
3.91 1
 
1.9%
3.9 1
 
1.9%
3.88 1
 
1.9%
3.86 2
3.7%
3.85 2
3.7%
3.83 3
5.6%

중요 사회 문제를 의제로 제시
Real number (ℝ)

HIGH CORRELATION 

Distinct31
Distinct (%)57.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.2498148
Minimum3.86
Maximum4.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size614.0 B
2024-03-14T19:44:23.977409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.86
5-th percentile4.0995
Q14.21
median4.25
Q34.295
95-th percentile4.428
Maximum4.67
Range0.81
Interquartile range (IQR)0.085

Descriptive statistics

Standard deviation0.12183333
Coefficient of variation (CV)0.028667916
Kurtosis3.8347374
Mean4.2498148
Median Absolute Deviation (MAD)0.045
Skewness0.30525692
Sum229.49
Variance0.014843361
MonotonicityNot monotonic
2024-03-14T19:44:24.393269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
4.21 6
 
11.1%
4.27 6
 
11.1%
4.3 4
 
7.4%
4.26 4
 
7.4%
4.22 3
 
5.6%
4.2 2
 
3.7%
4.23 2
 
3.7%
4.25 2
 
3.7%
4.28 2
 
3.7%
4.24 2
 
3.7%
Other values (21) 21
38.9%
ValueCountFrequency (%)
3.86 1
1.9%
3.98 1
1.9%
4.08 1
1.9%
4.11 1
1.9%
4.12 1
1.9%
4.13 1
1.9%
4.14 1
1.9%
4.15 1
1.9%
4.16 1
1.9%
4.17 1
1.9%
ValueCountFrequency (%)
4.67 1
1.9%
4.54 1
1.9%
4.48 1
1.9%
4.4 1
1.9%
4.39 1
1.9%
4.38 1
1.9%
4.36 1
1.9%
4.35 1
1.9%
4.34 1
1.9%
4.32 1
1.9%

정부공인에 대한 비판 및 감시
Real number (ℝ)

HIGH CORRELATION 

Distinct28
Distinct (%)51.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.4668519
Minimum3.93
Maximum4.69
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size614.0 B
2024-03-14T19:44:24.785081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.93
5-th percentile4.3665
Q14.4125
median4.455
Q34.5175
95-th percentile4.657
Maximum4.69
Range0.76
Interquartile range (IQR)0.105

Descriptive statistics

Standard deviation0.12441295
Coefficient of variation (CV)0.02785249
Kurtosis6.2802369
Mean4.4668519
Median Absolute Deviation (MAD)0.055
Skewness-1.459481
Sum241.21
Variance0.015478581
MonotonicityNot monotonic
2024-03-14T19:44:25.189271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
4.44 5
 
9.3%
4.49 4
 
7.4%
4.45 4
 
7.4%
4.43 3
 
5.6%
4.46 3
 
5.6%
4.38 3
 
5.6%
4.39 3
 
5.6%
4.65 2
 
3.7%
4.48 2
 
3.7%
4.41 2
 
3.7%
Other values (18) 23
42.6%
ValueCountFrequency (%)
3.93 1
 
1.9%
4.13 1
 
1.9%
4.36 1
 
1.9%
4.37 2
3.7%
4.38 3
5.6%
4.39 3
5.6%
4.4 1
 
1.9%
4.41 2
3.7%
4.42 1
 
1.9%
4.43 3
5.6%
ValueCountFrequency (%)
4.69 1
1.9%
4.68 1
1.9%
4.67 1
1.9%
4.65 2
3.7%
4.64 1
1.9%
4.62 1
1.9%
4.59 2
3.7%
4.58 1
1.9%
4.54 2
3.7%
4.53 1
1.9%

기업 활동에 대한 비판 및 감시
Real number (ℝ)

HIGH CORRELATION 

Distinct35
Distinct (%)64.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.3248148
Minimum3.71
Maximum4.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size614.0 B
2024-03-14T19:44:25.589101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.71
5-th percentile4.1665
Q14.25
median4.35
Q34.39
95-th percentile4.5335
Maximum4.67
Range0.96
Interquartile range (IQR)0.14

Descriptive statistics

Standard deviation0.15408575
Coefficient of variation (CV)0.035628288
Kurtosis4.7735927
Mean4.3248148
Median Absolute Deviation (MAD)0.07
Skewness-1.2114906
Sum233.54
Variance0.023742418
MonotonicityNot monotonic
2024-03-14T19:44:25.991310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
4.36 6
 
11.1%
4.35 4
 
7.4%
4.29 3
 
5.6%
4.28 3
 
5.6%
4.25 3
 
5.6%
4.37 3
 
5.6%
4.17 2
 
3.7%
4.24 2
 
3.7%
4.39 2
 
3.7%
4.31 1
 
1.9%
Other values (25) 25
46.3%
ValueCountFrequency (%)
3.71 1
1.9%
3.89 1
1.9%
4.16 1
1.9%
4.17 2
3.7%
4.18 1
1.9%
4.19 1
1.9%
4.2 1
1.9%
4.21 1
1.9%
4.23 1
1.9%
4.24 2
3.7%
ValueCountFrequency (%)
4.67 1
1.9%
4.62 1
1.9%
4.54 1
1.9%
4.53 1
1.9%
4.52 1
1.9%
4.51 1
1.9%
4.48 1
1.9%
4.47 1
1.9%
4.46 1
1.9%
4.44 1
1.9%

사회적 약자 대변
Real number (ℝ)

HIGH CORRELATION 

Distinct27
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.3190741
Minimum3.86
Maximum4.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size614.0 B
2024-03-14T19:44:26.299759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.86
5-th percentile4.1565
Q14.28
median4.32
Q34.37
95-th percentile4.4705
Maximum4.67
Range0.81
Interquartile range (IQR)0.09

Descriptive statistics

Standard deviation0.11519088
Coefficient of variation (CV)0.026670271
Kurtosis5.2548662
Mean4.3190741
Median Absolute Deviation (MAD)0.05
Skewness-0.73432728
Sum233.23
Variance0.013268938
MonotonicityNot monotonic
2024-03-14T19:44:26.525589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
4.3 7
 
13.0%
4.34 5
 
9.3%
4.33 3
 
5.6%
4.28 3
 
5.6%
4.31 3
 
5.6%
4.38 3
 
5.6%
4.37 3
 
5.6%
4.41 3
 
5.6%
4.32 2
 
3.7%
4.35 2
 
3.7%
Other values (17) 20
37.0%
ValueCountFrequency (%)
3.86 1
1.9%
4.07 1
1.9%
4.15 1
1.9%
4.16 1
1.9%
4.2 2
3.7%
4.21 1
1.9%
4.24 1
1.9%
4.25 2
3.7%
4.26 1
1.9%
4.27 1
1.9%
ValueCountFrequency (%)
4.67 1
 
1.9%
4.55 1
 
1.9%
4.49 1
 
1.9%
4.46 1
 
1.9%
4.43 1
 
1.9%
4.42 2
3.7%
4.41 3
5.6%
4.38 3
5.6%
4.37 3
5.6%
4.35 2
3.7%

Interactions

2024-03-14T19:44:12.659745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:43:59.383220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:44:01.470492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:44:03.480457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:44:04.931116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:44:06.473940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:44:08.521342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:44:10.652569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:44:12.929309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:43:59.639572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:44:01.719168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:44:03.747411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:44:05.096230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:44:06.737305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:44:08.785290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:44:10.903258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:44:13.176845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:43:59.882129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:44:01.952604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:44:03.892476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:44:05.247908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:44:07.190953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:44:09.032912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:44:11.140308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:44:13.438283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:44:00.145622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:44:02.199792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:44:04.046341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:44:05.413519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:44:07.351816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:44:09.299314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:44:11.387046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:44:13.711799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:44:00.416137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:44:02.461326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:44:04.212152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:44:05.587206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:44:07.526864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:44:09.576437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:44:11.646045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:44:13.982854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:44:00.685974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:44:02.726719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:44:04.379433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:44:05.759681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:44:07.725079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:44:09.850375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:44:11.910901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:44:14.259613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:44:00.956394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:44:02.986315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:44:04.544985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:44:05.945547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:44:07.997707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:44:10.124016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:44:12.169150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:44:14.508037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:44:01.198422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:44:03.221398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:44:04.687847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:44:06.197622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:44:08.248156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:44:10.377031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:44:12.402039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T19:44:26.703228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분중분류사례수사회 현안에 대한 정확한 정보 제공사회 현안에 대한 다양한 의견 제시사회 현안에 대한 해결책 제시중요 사회 문제를 의제로 제시정부공인에 대한 비판 및 감시기업 활동에 대한 비판 및 감시사회적 약자 대변
구분1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
중분류1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
사례수1.0001.0001.0000.0000.0000.0000.0000.0000.0000.000
사회 현안에 대한 정확한 정보 제공1.0001.0000.0001.0000.7030.5970.8270.8770.7620.776
사회 현안에 대한 다양한 의견 제시1.0001.0000.0000.7031.0000.7610.8350.8180.9100.842
사회 현안에 대한 해결책 제시1.0001.0000.0000.5970.7611.0000.7060.6370.6550.797
중요 사회 문제를 의제로 제시1.0001.0000.0000.8270.8350.7061.0000.8630.8930.893
정부공인에 대한 비판 및 감시1.0001.0000.0000.8770.8180.6370.8631.0000.8770.800
기업 활동에 대한 비판 및 감시1.0001.0000.0000.7620.9100.6550.8930.8771.0000.885
사회적 약자 대변1.0001.0000.0000.7760.8420.7970.8930.8000.8851.000
2024-03-14T19:44:27.026114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사례수사회 현안에 대한 정확한 정보 제공사회 현안에 대한 다양한 의견 제시사회 현안에 대한 해결책 제시중요 사회 문제를 의제로 제시정부공인에 대한 비판 및 감시기업 활동에 대한 비판 및 감시사회적 약자 대변
사례수1.000-0.006-0.074-0.082-0.136-0.124-0.043-0.098
사회 현안에 대한 정확한 정보 제공-0.0061.0000.427-0.1430.6820.6730.7610.494
사회 현안에 대한 다양한 의견 제시-0.0740.4271.0000.4150.4690.3390.3920.548
사회 현안에 대한 해결책 제시-0.082-0.1430.4151.0000.0190.006-0.1120.274
중요 사회 문제를 의제로 제시-0.1360.6820.4690.0191.0000.7580.7540.684
정부공인에 대한 비판 및 감시-0.1240.6730.3390.0060.7581.0000.8920.621
기업 활동에 대한 비판 및 감시-0.0430.7610.392-0.1120.7540.8921.0000.569
사회적 약자 대변-0.0980.4940.5480.2740.6840.6210.5691.000

Missing values

2024-03-14T19:44:14.884852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T19:44:15.398966image/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

구분중분류사례수사회 현안에 대한 정확한 정보 제공사회 현안에 대한 다양한 의견 제시사회 현안에 대한 해결책 제시중요 사회 문제를 의제로 제시정부공인에 대한 비판 및 감시기업 활동에 대한 비판 및 감시사회적 약자 대변
0성별1남자13764.354.13.714.24.444.294.27
1성별2여자6354.494.213.824.324.54.414.41
2연령120대2174.494.213.594.34.434.354.34
3연령230~34세3914.424.13.674.244.514.354.35
4연령335~39세3824.454.133.724.34.524.424.33
5연령440~44세3174.384.133.744.24.454.374.28
6연령545~49세2254.44.13.774.224.514.364.34
7연령650대3724.374.193.94.264.444.264.34
8연령760대 이상1073.993.953.833.984.133.894.07
9매체유형1신문사10654.354.133.764.224.444.284.31
구분중분류사례수사회 현안에 대한 정확한 정보 제공사회 현안에 대한 다양한 의견 제시사회 현안에 대한 해결책 제시중요 사회 문제를 의제로 제시정부공인에 대한 비판 및 감시기업 활동에 대한 비판 및 감시사회적 약자 대변
44직위3부장/부장대우2094.284.113.834.224.484.314.37
45직위4차장/차장대우4574.384.123.724.244.464.34.28
46직위5평기자10184.444.133.684.274.494.394.33
47경력11~4년4264.454.173.714.264.454.364.38
48경력25~9년4574.44.133.664.274.484.364.3
49경력310~14년3994.414.123.744.234.494.374.3
50경력415~19년2724.354.083.764.234.434.294.3
51경력520년 이상4574.334.143.864.214.454.254.3
52권역1서울13924.414.123.694.274.494.374.29
53권역2그 외 지역6194.354.163.864.174.414.234.38