Overview

Dataset statistics

Number of variables5
Number of observations493
Missing cells3
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory20.3 KiB
Average record size in memory42.3 B

Variable types

Numeric2
Text3

Dataset

Description2019 기관 제공 미디어·시사 이슈 웹매거진 및 자체 연구과제에 활용된 설문조사 원시데이터입니다.
Author한국언론진흥재단
URLhttps://www.data.go.kr/data/3071386/fileData.do

Alerts

번호 has unique valuesUnique
대분류 has unique valuesUnique

Reproduction

Analysis started2023-12-12 12:35:21.666213
Analysis finished2023-12-12 12:35:22.742789
Duration1.08 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct493
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean247
Minimum1
Maximum493
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-12T21:35:23.066073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile25.6
Q1124
median247
Q3370
95-th percentile468.4
Maximum493
Range492
Interquartile range (IQR)246

Descriptive statistics

Standard deviation142.46111
Coefficient of variation (CV)0.57676561
Kurtosis-1.2
Mean247
Median Absolute Deviation (MAD)123
Skewness0
Sum121771
Variance20295.167
MonotonicityStrictly increasing
2023-12-12T21:35:23.194055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
340 1
 
0.2%
338 1
 
0.2%
337 1
 
0.2%
336 1
 
0.2%
335 1
 
0.2%
334 1
 
0.2%
333 1
 
0.2%
332 1
 
0.2%
331 1
 
0.2%
Other values (483) 483
98.0%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
493 1
0.2%
492 1
0.2%
491 1
0.2%
490 1
0.2%
489 1
0.2%
488 1
0.2%
487 1
0.2%
486 1
0.2%
485 1
0.2%
484 1
0.2%

대분류
Text

UNIQUE 

Distinct493
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
2023-12-12T21:35:23.511063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length40
Mean length24.348884
Min length3

Characters and Unicode

Total characters12004
Distinct characters155
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique493 ?
Unique (%)100.0%

Sample

1st row성별1
2nd row성별2
3rd row연령1
4th row연령2
5th row연령3
ValueCountFrequency (%)
이용 131
 
4.3%
뉴스 108
 
3.5%
언론사 105
 
3.4%
네이버 105
 
3.4%
구독 102
 
3.3%
채널 97
 
3.2%
대한 94
 
3.1%
모바일 87
 
2.8%
시 68
 
2.2%
모바일에서 65
 
2.1%
Other values (442) 2110
68.7%
2023-12-12T21:35:24.057384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2580
 
21.5%
이 515
 
4.3%
스 336
 
2.8%
인 273
 
2.3%
뉴 253
 
2.1%
용 235
 
2.0%
사 226
 
1.9%
일 205
 
1.7%
모 201
 
1.7%
바 201
 
1.7%
Other values (145) 6979
58.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8096
67.4%
Space Separator 2580
 
21.5%
Decimal Number 741
 
6.2%
Connector Punctuation 193
 
1.6%
Open Punctuation 119
 
1.0%
Close Punctuation 116
 
1.0%
Other Punctuation 81
 
0.7%
Lowercase Letter 39
 
0.3%
Uppercase Letter 39
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 515
 
6.4%
스 336
 
4.2%
인 273
 
3.4%
뉴 253
 
3.1%
용 235
 
2.9%
사 226
 
2.8%
일 205
 
2.5%
모 201
 
2.5%
바 201
 
2.5%
에 179
 
2.2%
Other values (127) 5472
67.6%
Decimal Number
ValueCountFrequency (%)
1 190
25.6%
2 136
18.4%
3 95
12.8%
4 78
10.5%
5 51
 
6.9%
6 44
 
5.9%
7 41
 
5.5%
8 38
 
5.1%
0 34
 
4.6%
9 34
 
4.6%
Other Punctuation
ValueCountFrequency (%)
, 68
84.0%
/ 13
 
16.0%
Space Separator
ValueCountFrequency (%)
2580
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 193
100.0%
Open Punctuation
ValueCountFrequency (%)
( 119
100.0%
Close Punctuation
ValueCountFrequency (%)
) 116
100.0%
Lowercase Letter
ValueCountFrequency (%)
y 39
100.0%
Uppercase Letter
ValueCountFrequency (%)
M 39
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8096
67.4%
Common 3830
31.9%
Latin 78
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 515
 
6.4%
스 336
 
4.2%
인 273
 
3.4%
뉴 253
 
3.1%
용 235
 
2.9%
사 226
 
2.8%
일 205
 
2.5%
모 201
 
2.5%
바 201
 
2.5%
에 179
 
2.2%
Other values (127) 5472
67.6%
Common
ValueCountFrequency (%)
2580
67.4%
_ 193
 
5.0%
1 190
 
5.0%
2 136
 
3.6%
( 119
 
3.1%
) 116
 
3.0%
3 95
 
2.5%
4 78
 
2.0%
, 68
 
1.8%
5 51
 
1.3%
Other values (6) 204
 
5.3%
Latin
ValueCountFrequency (%)
y 39
50.0%
M 39
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8096
67.4%
ASCII 3908
32.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2580
66.0%
_ 193
 
4.9%
1 190
 
4.9%
2 136
 
3.5%
( 119
 
3.0%
) 116
 
3.0%
3 95
 
2.4%
4 78
 
2.0%
, 68
 
1.7%
5 51
 
1.3%
Other values (8) 282
 
7.2%
Hangul
ValueCountFrequency (%)
이 515
 
6.4%
스 336
 
4.2%
인 273
 
3.4%
뉴 253
 
3.1%
용 235
 
2.9%
사 226
 
2.8%
일 205
 
2.5%
모 201
 
2.5%
바 201
 
2.5%
에 179
 
2.2%
Other values (127) 5472
67.6%

중분류
Text

Distinct354
Distinct (%)72.0%
Missing1
Missing (%)0.2%
Memory size4.0 KiB
2023-12-12T21:35:24.350191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length34
Mean length14.27439
Min length1

Characters and Unicode

Total characters7023
Distinct characters265
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique340 ?
Unique (%)69.1%

Sample

1st row1) 남성
2nd row2) 여성
3rd row1) 만20-29세
4th row2) 만30-39세
5th row3) 만40-49세
ValueCountFrequency (%)
126
 
6.2%
2 47
 
2.3%
1 47
 
2.3%
3 45
 
2.2%
4 44
 
2.2%
5 42
 
2.1%
것 37
 
1.8%
같아 37
 
1.8%
수 36
 
1.8%
볼 32
 
1.6%
Other values (385) 1527
75.6%
2023-12-12T21:35:24.840643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1529
 
21.8%
) 371
 
5.3%
이 160
 
2.3%
- 136
 
1.9%
1 132
 
1.9%
다 124
 
1.8%
2 115
 
1.6%
3 107
 
1.5%
스 98
 
1.4%
4 97
 
1.4%
Other values (255) 4154
59.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4188
59.6%
Space Separator 1529
 
21.8%
Decimal Number 657
 
9.4%
Close Punctuation 371
 
5.3%
Dash Punctuation 136
 
1.9%
Open Punctuation 55
 
0.8%
Other Punctuation 46
 
0.7%
Connector Punctuation 21
 
0.3%
Uppercase Letter 20
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 160
 
3.8%
다 124
 
3.0%
스 98
 
2.3%
정 91
 
2.2%
뉴 90
 
2.1%
의 87
 
2.1%
사 81
 
1.9%
인 79
 
1.9%
적 73
 
1.7%
지 72
 
1.7%
Other values (231) 3233
77.2%
Decimal Number
ValueCountFrequency (%)
1 132
20.1%
2 115
17.5%
3 107
16.3%
4 97
14.8%
5 75
11.4%
6 37
 
5.6%
9 29
 
4.4%
0 28
 
4.3%
7 24
 
3.7%
8 13
 
2.0%
Uppercase Letter
ValueCountFrequency (%)
S 6
30.0%
B 6
30.0%
K 6
30.0%
I 1
 
5.0%
T 1
 
5.0%
Other Punctuation
ValueCountFrequency (%)
, 35
76.1%
. 4
 
8.7%
: 4
 
8.7%
/ 3
 
6.5%
Space Separator
ValueCountFrequency (%)
1529
100.0%
Close Punctuation
ValueCountFrequency (%)
) 371
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 136
100.0%
Open Punctuation
ValueCountFrequency (%)
( 55
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4188
59.6%
Common 2815
40.1%
Latin 20
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 160
 
3.8%
다 124
 
3.0%
스 98
 
2.3%
정 91
 
2.2%
뉴 90
 
2.1%
의 87
 
2.1%
사 81
 
1.9%
인 79
 
1.9%
적 73
 
1.7%
지 72
 
1.7%
Other values (231) 3233
77.2%
Common
ValueCountFrequency (%)
1529
54.3%
) 371
 
13.2%
- 136
 
4.8%
1 132
 
4.7%
2 115
 
4.1%
3 107
 
3.8%
4 97
 
3.4%
5 75
 
2.7%
( 55
 
2.0%
6 37
 
1.3%
Other values (9) 161
 
5.7%
Latin
ValueCountFrequency (%)
S 6
30.0%
B 6
30.0%
K 6
30.0%
I 1
 
5.0%
T 1
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4188
59.6%
ASCII 2835
40.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1529
53.9%
) 371
 
13.1%
- 136
 
4.8%
1 132
 
4.7%
2 115
 
4.1%
3 107
 
3.8%
4 97
 
3.4%
5 75
 
2.6%
( 55
 
1.9%
6 37
 
1.3%
Other values (14) 181
 
6.4%
Hangul
ValueCountFrequency (%)
이 160
 
3.8%
다 124
 
3.0%
스 98
 
2.3%
정 91
 
2.2%
뉴 90
 
2.1%
의 87
 
2.1%
사 81
 
1.9%
인 79
 
1.9%
적 73
 
1.7%
지 72
 
1.7%
Other values (231) 3233
77.2%

소분류
Text

Distinct135
Distinct (%)27.5%
Missing2
Missing (%)0.4%
Memory size4.0 KiB
2023-12-12T21:35:25.081015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length33
Mean length8.3197556
Min length1

Characters and Unicode

Total characters4085
Distinct characters237
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique52 ?
Unique (%)10.6%

Sample

1st row-
2nd row-
3rd row-
4th row-
5th row-
ValueCountFrequency (%)
100
 
8.5%
1 73
 
6.2%
2 73
 
6.2%
3 66
 
5.6%
4 54
 
4.6%
5 32
 
2.7%
무응답 25
 
2.1%
전혀 20
 
1.7%
약간 18
 
1.5%
별로동의하지않음 16
 
1.4%
Other values (244) 702
59.5%
2023-12-12T21:35:25.441488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
688
 
16.8%
) 403
 
9.9%
- 134
 
3.3%
1 119
 
2.9%
2 114
 
2.8%
동 105
 
2.6%
3 104
 
2.5%
의 102
 
2.5%
지 95
 
2.3%
4 88
 
2.2%
Other values (227) 2133
52.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2204
54.0%
Space Separator 688
 
16.8%
Decimal Number 544
 
13.3%
Close Punctuation 403
 
9.9%
Dash Punctuation 134
 
3.3%
Uppercase Letter 76
 
1.9%
Other Punctuation 20
 
0.5%
Open Punctuation 12
 
0.3%
Lowercase Letter 2
 
< 0.1%
Connector Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 105
 
4.8%
의 102
 
4.6%
지 95
 
4.3%
하 74
 
3.4%
않 73
 
3.3%
음 71
 
3.2%
일 62
 
2.8%
전 60
 
2.7%
이 60
 
2.7%
함 60
 
2.7%
Other values (195) 1442
65.4%
Uppercase Letter
ValueCountFrequency (%)
T 14
18.4%
B 14
18.4%
S 10
13.2%
C 8
10.5%
N 6
7.9%
M 6
7.9%
V 6
7.9%
I 4
 
5.3%
A 2
 
2.6%
K 2
 
2.6%
Other values (2) 4
 
5.3%
Decimal Number
ValueCountFrequency (%)
1 119
21.9%
2 114
21.0%
3 104
19.1%
4 88
16.2%
5 52
9.6%
6 26
 
4.8%
7 11
 
2.0%
0 10
 
1.8%
8 10
 
1.8%
9 10
 
1.8%
Other Punctuation
ValueCountFrequency (%)
, 8
40.0%
/ 6
30.0%
. 4
20.0%
· 2
 
10.0%
Space Separator
ValueCountFrequency (%)
688
100.0%
Close Punctuation
ValueCountFrequency (%)
) 403
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 134
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Lowercase Letter
ValueCountFrequency (%)
y 2
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2204
54.0%
Common 1803
44.1%
Latin 78
 
1.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 105
 
4.8%
의 102
 
4.6%
지 95
 
4.3%
하 74
 
3.4%
않 73
 
3.3%
음 71
 
3.2%
일 62
 
2.8%
전 60
 
2.7%
이 60
 
2.7%
함 60
 
2.7%
Other values (195) 1442
65.4%
Common
ValueCountFrequency (%)
688
38.2%
) 403
22.4%
- 134
 
7.4%
1 119
 
6.6%
2 114
 
6.3%
3 104
 
5.8%
4 88
 
4.9%
5 52
 
2.9%
6 26
 
1.4%
( 12
 
0.7%
Other values (9) 63
 
3.5%
Latin
ValueCountFrequency (%)
T 14
17.9%
B 14
17.9%
S 10
12.8%
C 8
10.3%
N 6
7.7%
M 6
7.7%
V 6
7.7%
I 4
 
5.1%
y 2
 
2.6%
A 2
 
2.6%
Other values (3) 6
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2204
54.0%
ASCII 1879
46.0%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
688
36.6%
) 403
21.4%
- 134
 
7.1%
1 119
 
6.3%
2 114
 
6.1%
3 104
 
5.5%
4 88
 
4.7%
5 52
 
2.8%
6 26
 
1.4%
T 14
 
0.7%
Other values (21) 137
 
7.3%
Hangul
ValueCountFrequency (%)
동 105
 
4.8%
의 102
 
4.6%
지 95
 
4.3%
하 74
 
3.4%
않 73
 
3.3%
음 71
 
3.2%
일 62
 
2.8%
전 60
 
2.7%
이 60
 
2.7%
함 60
 
2.7%
Other values (195) 1442
65.4%
None
ValueCountFrequency (%)
· 2
100.0%

사례수
Real number (ℝ)

Distinct275
Distinct (%)55.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean185.26775
Minimum0
Maximum1000
Zeros2
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-12T21:35:25.590982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q133
median87
Q3272
95-th percentile665.4
Maximum1000
Range1000
Interquartile range (IQR)239

Descriptive statistics

Standard deviation210.67331
Coefficient of variation (CV)1.1371289
Kurtosis1.2414229
Mean185.26775
Median Absolute Deviation (MAD)73
Skewness1.4374412
Sum91337
Variance44383.245
MonotonicityNot monotonic
2023-12-12T21:35:25.734137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40 15
 
3.0%
28 8
 
1.6%
13 7
 
1.4%
770 6
 
1.2%
54 6
 
1.2%
56 6
 
1.2%
12 6
 
1.2%
49 6
 
1.2%
58 5
 
1.0%
6 5
 
1.0%
Other values (265) 423
85.8%
ValueCountFrequency (%)
0 2
 
0.4%
1 4
0.8%
2 2
 
0.4%
3 3
0.6%
4 4
0.8%
5 4
0.8%
6 5
1.0%
7 4
0.8%
8 4
0.8%
9 4
0.8%
ValueCountFrequency (%)
1000 1
 
0.2%
847 1
 
0.2%
842 1
 
0.2%
837 1
 
0.2%
823 1
 
0.2%
771 1
 
0.2%
770 6
1.2%
758 1
 
0.2%
751 1
 
0.2%
749 1
 
0.2%

Interactions

2023-12-12T21:35:22.343837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:35:22.160266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:35:22.422522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:35:22.253667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T21:35:25.829563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호사례수
번호1.0000.459
사례수0.4591.000
2023-12-12T21:35:25.920195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호사례수
번호1.000-0.103
사례수-0.1031.000

Missing values

2023-12-12T21:35:22.526654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:35:22.610985image/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.
2023-12-12T21:35:22.691930image/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

번호대분류중분류소분류사례수
01성별11) 남성-510
12성별22) 여성-490
23연령11) 만20-29세-192
34연령22) 만30-39세-207
45연령33) 만40-49세-248
56연령44) 만50-59세-243
67연령55) 60대이상-110
78거주지역11) 서울-197
89거주지역22) 인천-58
910거주지역33) 경기-253
번호대분류중분류소분류사례수
483484월 평균 가구 소득88) 800만 원 이상-102
484485사회계층 소속감11) 하층-94
485486사회계층 소속감22) 중하층-439
486487사회계층 소속감33) 중간층-409
487488사회계층 소속감44) 중상층-55
488489정치적 성향11) 보수-38
489490정치적 성향22) 보수에 가까움-157
490491정치적 성향33) 중도-480
491492정치적 성향44) 진보에 가까움-276
492493정치적 성향55) 진보-49