Overview

Dataset statistics

Number of variables7
Number of observations54
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.3 KiB
Average record size in memory63.4 B

Variable types

Text2
Numeric5

Dataset

Description언론인 조사 관련 "직무 수행시 탈진 정도"에 관한 자료입니다. (언론인의 직업효능감, 정서적소진, 냉소주의 등 직무 수행 시 탈진 정도)
Author한국언론진흥재단
URLhttps://www.data.go.kr/data/15060168/fileData.do

Alerts

나는 기자로서 업무를 잘 하고 있다 is highly overall correlated with 나는 기자로서 가치 있는 많은 일들을 이루어왔다High correlation
나는 기자로서 가치 있는 많은 일들을 이루어왔다 is highly overall correlated with 나는 기자로서 업무를 잘 하고 있다High correlation
나는 업무로 인해 탈진되었다고 느낀다 is highly overall correlated with 나는 기자로서 하는 일에 점점 회의가 든다High correlation
나는 기자로서 하는 일에 점점 회의가 든다 is highly overall correlated with 나는 업무로 인해 탈진되었다고 느낀다High correlation

Reproduction

Analysis started2024-03-14 12:23:41.999825
Analysis finished2024-03-14 12:23:49.018454
Duration7.02 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분1
Text

Distinct53
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size560.0 B
2024-03-14T21:23:49.803805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length4.4444444
Min length3

Characters and Unicode

Total characters240
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

Unique52 ?
Unique (%)96.3%

Sample

1st row성별1
2nd row성별2
3rd row연령1
4th row연령2
5th row연령3
ValueCountFrequency (%)
소속부서11 2
 
3.7%
성별1 1
 
1.9%
소속부서17 1
 
1.9%
소속부서6 1
 
1.9%
소속부서7 1
 
1.9%
소속부서8 1
 
1.9%
소속부서9 1
 
1.9%
소속부서10 1
 
1.9%
소속부서12 1
 
1.9%
소속부서13 1
 
1.9%
Other values (43) 43
79.6%
2024-03-14T21:23:51.176402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
소 29
12.1%
속 29
12.1%
1 22
 
9.2%
부 18
 
7.5%
서 18
 
7.5%
매 15
 
6.2%
체 15
 
6.2%
2 9
 
3.8%
령 7
 
2.9%
3 7
 
2.9%
Other values (18) 71
29.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 174
72.5%
Decimal Number 66
 
27.5%

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%
직 5
 
2.9%
위 5
 
2.9%
Other values (8) 26
14.9%
Decimal Number
ValueCountFrequency (%)
1 22
33.3%
2 9
13.6%
3 7
 
10.6%
4 7
 
10.6%
5 6
 
9.1%
6 4
 
6.1%
7 4
 
6.1%
8 3
 
4.5%
9 2
 
3.0%
0 2
 
3.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 174
72.5%
Common 66
 
27.5%

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%
직 5
 
2.9%
위 5
 
2.9%
Other values (8) 26
14.9%
Common
ValueCountFrequency (%)
1 22
33.3%
2 9
13.6%
3 7
 
10.6%
4 7
 
10.6%
5 6
 
9.1%
6 4
 
6.1%
7 4
 
6.1%
8 3
 
4.5%
9 2
 
3.0%
0 2
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 174
72.5%
ASCII 66
 
27.5%

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%
직 5
 
2.9%
위 5
 
2.9%
Other values (8) 26
14.9%
ASCII
ValueCountFrequency (%)
1 22
33.3%
2 9
13.6%
3 7
 
10.6%
4 7
 
10.6%
5 6
 
9.1%
6 4
 
6.1%
7 4
 
6.1%
8 3
 
4.5%
9 2
 
3.0%
0 2
 
3.0%

중분류
Text

Distinct52
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Memory size560.0 B
2024-03-14T21:23:52.177982image/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%
그 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%
2024-03-14T21:23:53.245476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 20
 
6.7%
부 14
 
4.7%
사 11
 
3.7%
국 10
 
3.3%
4 8
 
2.7%
~ 8
 
2.7%
장 8
 
2.7%
대 7
 
2.3%
일 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 (%)
부 14
 
6.3%
사 11
 
4.9%
국 10
 
4.5%
장 8
 
3.6%
대 7
 
3.1%
일 7
 
3.1%
지 6
 
2.7%
년 5
 
2.2%
간 5
 
2.2%
스 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 (%)
부 14
 
6.3%
사 11
 
4.9%
국 10
 
4.5%
장 8
 
3.6%
대 7
 
3.1%
일 7
 
3.1%
지 6
 
2.7%
년 5
 
2.2%
간 5
 
2.2%
스 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 (%)
부 14
 
6.3%
사 11
 
4.9%
국 10
 
4.5%
장 8
 
3.6%
대 7
 
3.1%
일 7
 
3.1%
지 6
 
2.7%
년 5
 
2.2%
간 5
 
2.2%
스 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
2024-03-14T21:23:53.476831image/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
2024-03-14T21:23:53.732701image/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%

나는 기자로서 업무를 잘 하고 있다
Real number (ℝ)

HIGH CORRELATION 

Distinct30
Distinct (%)55.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.5753704
Minimum3.29
Maximum3.88
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size614.0 B
2024-03-14T21:23:54.119502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.29
5-th percentile3.39
Q13.51
median3.56
Q33.6375
95-th percentile3.837
Maximum3.88
Range0.59
Interquartile range (IQR)0.1275

Descriptive statistics

Standard deviation0.12746754
Coefficient of variation (CV)0.035651562
Kurtosis0.27639062
Mean3.5753704
Median Absolute Deviation (MAD)0.07
Skewness0.52710959
Sum193.07
Variance0.016247973
MonotonicityNot monotonic
2024-03-14T21:23:54.512067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
3.51 5
 
9.3%
3.56 4
 
7.4%
3.39 3
 
5.6%
3.59 3
 
5.6%
3.53 3
 
5.6%
3.52 3
 
5.6%
3.58 2
 
3.7%
3.48 2
 
3.7%
3.72 2
 
3.7%
3.73 2
 
3.7%
Other values (20) 25
46.3%
ValueCountFrequency (%)
3.29 1
 
1.9%
3.39 3
5.6%
3.4 1
 
1.9%
3.41 1
 
1.9%
3.45 1
 
1.9%
3.46 2
 
3.7%
3.48 2
 
3.7%
3.49 1
 
1.9%
3.5 1
 
1.9%
3.51 5
9.3%
ValueCountFrequency (%)
3.88 1
1.9%
3.87 1
1.9%
3.85 1
1.9%
3.83 1
1.9%
3.78 1
1.9%
3.73 2
3.7%
3.72 2
3.7%
3.69 2
3.7%
3.66 2
3.7%
3.64 1
1.9%

나는 기자로서 가치 있는 많은 일들을 이루어왔다
Real number (ℝ)

HIGH CORRELATION 

Distinct35
Distinct (%)64.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.4977778
Minimum3.18
Maximum4.04
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size614.0 B
2024-03-14T21:23:54.912799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.18
5-th percentile3.2465
Q13.395
median3.495
Q33.58
95-th percentile3.7245
Maximum4.04
Range0.86
Interquartile range (IQR)0.185

Descriptive statistics

Standard deviation0.16146343
Coefficient of variation (CV)0.046161719
Kurtosis1.8815411
Mean3.4977778
Median Absolute Deviation (MAD)0.085
Skewness0.75655754
Sum188.88
Variance0.02607044
MonotonicityNot monotonic
2024-03-14T21:23:55.318164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
3.52 5
 
9.3%
3.38 3
 
5.6%
3.45 3
 
5.6%
3.48 3
 
5.6%
3.58 3
 
5.6%
3.39 2
 
3.7%
3.7 2
 
3.7%
3.33 2
 
3.7%
3.53 2
 
3.7%
3.5 2
 
3.7%
Other values (25) 27
50.0%
ValueCountFrequency (%)
3.18 1
 
1.9%
3.21 1
 
1.9%
3.24 1
 
1.9%
3.25 1
 
1.9%
3.28 1
 
1.9%
3.3 1
 
1.9%
3.32 1
 
1.9%
3.33 2
3.7%
3.38 3
5.6%
3.39 2
3.7%
ValueCountFrequency (%)
4.04 1
1.9%
3.92 1
1.9%
3.77 1
1.9%
3.7 2
3.7%
3.67 1
1.9%
3.66 1
1.9%
3.64 1
1.9%
3.63 1
1.9%
3.62 2
3.7%
3.61 1
1.9%

나는 업무로 인해 탈진되었다고 느낀다
Real number (ℝ)

HIGH CORRELATION 

Distinct37
Distinct (%)68.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.2488889
Minimum2.68
Maximum3.75
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size614.0 B
2024-03-14T21:23:55.717727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.68
5-th percentile2.8895
Q13.1325
median3.29
Q33.3875
95-th percentile3.4735
Maximum3.75
Range1.07
Interquartile range (IQR)0.255

Descriptive statistics

Standard deviation0.20125706
Coefficient of variation (CV)0.061946426
Kurtosis0.95630245
Mean3.2488889
Median Absolute Deviation (MAD)0.12
Skewness-0.65599898
Sum175.44
Variance0.040504403
MonotonicityNot monotonic
2024-03-14T21:23:56.145996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
3.29 6
 
11.1%
3.41 3
 
5.6%
3.1 2
 
3.7%
3.27 2
 
3.7%
3.38 2
 
3.7%
3.44 2
 
3.7%
3.22 2
 
3.7%
3.47 2
 
3.7%
3.39 2
 
3.7%
3.37 2
 
3.7%
Other values (27) 29
53.7%
ValueCountFrequency (%)
2.68 1
1.9%
2.73 1
1.9%
2.87 1
1.9%
2.9 1
1.9%
2.95 1
1.9%
2.99 1
1.9%
3.0 1
1.9%
3.04 1
1.9%
3.06 1
1.9%
3.1 2
3.7%
ValueCountFrequency (%)
3.75 1
 
1.9%
3.53 1
 
1.9%
3.48 1
 
1.9%
3.47 2
3.7%
3.46 1
 
1.9%
3.44 2
3.7%
3.42 1
 
1.9%
3.41 3
5.6%
3.39 2
3.7%
3.38 2
3.7%

나는 기자로서 하는 일에 점점 회의가 든다
Real number (ℝ)

HIGH CORRELATION 

Distinct34
Distinct (%)63.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.1522222
Minimum2.65
Maximum3.63
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size614.0 B
2024-03-14T21:23:56.545375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.65
5-th percentile2.7925
Q13.035
median3.21
Q33.28
95-th percentile3.3705
Maximum3.63
Range0.98
Interquartile range (IQR)0.245

Descriptive statistics

Standard deviation0.19654244
Coefficient of variation (CV)0.062350439
Kurtosis0.40548109
Mean3.1522222
Median Absolute Deviation (MAD)0.12
Skewness-0.50897368
Sum170.22
Variance0.038628931
MonotonicityNot monotonic
2024-03-14T21:23:56.955262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
3.21 4
 
7.4%
3.05 4
 
7.4%
3.28 3
 
5.6%
3.23 3
 
5.6%
3.26 3
 
5.6%
3.36 3
 
5.6%
2.97 2
 
3.7%
3.03 2
 
3.7%
3.24 2
 
3.7%
3.08 2
 
3.7%
Other values (24) 26
48.1%
ValueCountFrequency (%)
2.65 1
1.9%
2.69 1
1.9%
2.76 1
1.9%
2.81 1
1.9%
2.85 1
1.9%
2.86 1
1.9%
2.92 1
1.9%
2.93 1
1.9%
2.97 2
3.7%
3.0 1
1.9%
ValueCountFrequency (%)
3.63 1
 
1.9%
3.5 1
 
1.9%
3.39 1
 
1.9%
3.36 3
5.6%
3.34 1
 
1.9%
3.32 1
 
1.9%
3.31 2
3.7%
3.3 1
 
1.9%
3.29 1
 
1.9%
3.28 3
5.6%

Interactions

2024-03-14T21:23:47.606748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:23:42.409596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:23:43.689054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:23:45.158219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:23:46.374369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:23:47.800640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:23:42.669649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:23:44.168077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:23:45.407866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:23:46.630050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:23:47.953758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:23:42.943372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:23:44.419716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:23:45.658796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:23:46.881079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:23:48.091523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:23:43.189505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:23:44.663073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:23:45.891443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:23:47.121574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:23:48.233450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:23:43.443680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:23:44.910983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:23:46.137312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:23:47.366180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T21:23:57.216108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분1중분류사례수나는 기자로서 업무를 잘 하고 있다나는 기자로서 가치 있는 많은 일들을 이루어왔다나는 업무로 인해 탈진되었다고 느낀다나는 기자로서 하는 일에 점점 회의가 든다
구분11.0000.9900.9730.9320.9730.9690.971
중분류0.9901.0001.0001.0001.0001.0001.000
사례수0.9731.0001.0000.0000.0000.0000.000
나는 기자로서 업무를 잘 하고 있다0.9321.0000.0001.0000.7320.6450.732
나는 기자로서 가치 있는 많은 일들을 이루어왔다0.9731.0000.0000.7321.0000.5130.659
나는 업무로 인해 탈진되었다고 느낀다0.9691.0000.0000.6450.5131.0000.857
나는 기자로서 하는 일에 점점 회의가 든다0.9711.0000.0000.7320.6590.8571.000
2024-03-14T21:23:57.515359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사례수나는 기자로서 업무를 잘 하고 있다나는 기자로서 가치 있는 많은 일들을 이루어왔다나는 업무로 인해 탈진되었다고 느낀다나는 기자로서 하는 일에 점점 회의가 든다
사례수1.000-0.318-0.383-0.042-0.094
나는 기자로서 업무를 잘 하고 있다-0.3181.0000.8360.020-0.161
나는 기자로서 가치 있는 많은 일들을 이루어왔다-0.3830.8361.000-0.147-0.179
나는 업무로 인해 탈진되었다고 느낀다-0.0420.020-0.1471.0000.808
나는 기자로서 하는 일에 점점 회의가 든다-0.094-0.161-0.1790.8081.000

Missing values

2024-03-14T21:23:48.442847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T21:23:48.852461image/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

구분1중분류사례수나는 기자로서 업무를 잘 하고 있다나는 기자로서 가치 있는 많은 일들을 이루어왔다나는 업무로 인해 탈진되었다고 느낀다나는 기자로서 하는 일에 점점 회의가 든다
0성별1남자13763.583.533.153.08
1성별2여자6353.463.33.473.32
2연령120대2173.393.183.273.08
3연령230~34세3913.453.283.463.3
4연령335~39세3823.513.423.443.34
5연령440~44세3173.593.53.333.19
6연령545~49세2253.633.583.223.21
7연령650대3723.633.672.952.93
8연령760대 이상1073.693.642.682.69
9매체유형1신문사10653.523.453.263.16
구분1중분류사례수나는 기자로서 업무를 잘 하고 있다나는 기자로서 가치 있는 많은 일들을 이루어왔다나는 업무로 인해 탈진되었다고 느낀다나는 기자로서 하는 일에 점점 회의가 든다
44직위3부장/부장대우2093.643.663.123.05
45직위4차장/차장대우4573.563.463.353.23
46직위5평기자10183.463.333.373.26
47경력11~4년4263.393.243.213.03
48경력25~9년4573.533.393.393.31
49경력310~14년3993.533.463.413.28
50경력415~19년2723.583.483.293.16
51경력520년 이상4573.693.72.993.0
52권역1서울13923.563.443.293.2
53권역2그 외 지역6193.513.483.183.05