Overview

Dataset statistics

Number of variables10
Number of observations301
Missing cells2188
Missing cells (%)72.7%
Duplicate rows3
Duplicate rows (%)1.0%
Total size in memory25.1 KiB
Average record size in memory85.4 B

Variable types

Text3
Categorical2
Numeric1
Unsupported4

Dataset

Description샘플 데이터
AuthorMBN
URLhttps://kdx.kr/data/view/26948

Alerts

Dataset has 3 (1.0%) duplicate rowsDuplicates
ART_CN is highly overall correlated with STD_YEAR and 1 other fieldsHigh correlation
MDA_CGR_NM is highly overall correlated with STD_YEAR and 1 other fieldsHigh correlation
STD_YEAR is highly overall correlated with MDA_CGR_NM and 1 other fieldsHigh correlation
MDA_CGR_NM is highly imbalanced (86.6%)Imbalance
ART_CN is highly imbalanced (88.5%)Imbalance
MBN_MDA_SP_CD has 124 (41.2%) missing valuesMissing
MDA_ART_ESSN_NO has 288 (95.7%) missing valuesMissing
STD_YEAR has 281 (93.4%) missing valuesMissing
ART_SJ_CN has 291 (96.7%) missing valuesMissing
ATCH_IMG_NM has 301 (100.0%) missing valuesMissing
JRNL_NM has 301 (100.0%) missing valuesMissing
WRT_DATE has 301 (100.0%) missing valuesMissing
Unnamed: 9 has 301 (100.0%) missing valuesMissing
ATCH_IMG_NM is an unsupported type, check if it needs cleaning or further analysisUnsupported
JRNL_NM is an unsupported type, check if it needs cleaning or further analysisUnsupported
WRT_DATE is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 9 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-11 22:19:38.695464
Analysis finished2023-12-11 22:19:40.854892
Duration2.16 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

MBN_MDA_SP_CD
Text

MISSING 

Distinct159
Distinct (%)89.8%
Missing124
Missing (%)41.2%
Memory size2.5 KiB
2023-12-12T07:19:41.049661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length206
Median length81
Mean length49.677966
Min length3

Characters and Unicode

Total characters8793
Distinct characters570
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique153 ?
Unique (%)86.4%

Sample

1st rowMBN
2nd row 2020년이 시작된 지 불과 8시간밖에 안 된 아침이지만, 밤사이 '새해 1호'가 된 주인공들이 속속 탄생했습니다.
3rd row 떨리는 새해 첫 순간들을 손하늘 기자가 담아왔습니다.
4th row【 기자 】
5th row 지정을 앞둔 서울의 한 산부인과 분만실입니다.
ValueCountFrequency (%)
58
 
2.8%
새해 22
 
1.1%
첫 20
 
1.0%
송 18
 
0.9%
검찰은 15
 
0.7%
전 15
 
0.7%
것으로 13
 
0.6%
▶ 13
 
0.6%
mbn 13
 
0.6%
기자 12
 
0.6%
Other values (1351) 1847
90.3%
2023-12-12T07:19:41.435362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2043
 
23.2%
다 199
 
2.3%
. 151
 
1.7%
이 142
 
1.6%
니 133
 
1.5%
해 119
 
1.4%
에 109
 
1.2%
의 99
 
1.1%
시 96
 
1.1%
습 95
 
1.1%
Other values (560) 5607
63.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5953
67.7%
Space Separator 2043
 
23.2%
Other Punctuation 364
 
4.1%
Decimal Number 154
 
1.8%
Uppercase Letter 82
 
0.9%
Dash Punctuation 64
 
0.7%
Lowercase Letter 52
 
0.6%
Close Punctuation 22
 
0.3%
Open Punctuation 22
 
0.3%
Math Symbol 20
 
0.2%
Other values (2) 17
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
다 199
 
3.3%
이 142
 
2.4%
니 133
 
2.2%
해 119
 
2.0%
에 109
 
1.8%
의 99
 
1.7%
시 96
 
1.6%
습 95
 
1.6%
기 94
 
1.6%
는 94
 
1.6%
Other values (497) 4773
80.2%
Lowercase Letter
ValueCountFrequency (%)
o 7
13.5%
n 7
13.5%
b 5
9.6%
k 5
9.6%
r 5
9.6%
c 4
7.7%
m 4
7.7%
a 3
 
5.8%
g 2
 
3.8%
t 2
 
3.8%
Other values (8) 8
15.4%
Uppercase Letter
ValueCountFrequency (%)
N 21
25.6%
M 19
23.2%
B 19
23.2%
O 6
 
7.3%
P 4
 
4.9%
T 3
 
3.7%
S 2
 
2.4%
H 2
 
2.4%
A 2
 
2.4%
D 2
 
2.4%
Other values (2) 2
 
2.4%
Other Punctuation
ValueCountFrequency (%)
. 151
41.5%
" 71
19.5%
, 51
 
14.0%
' 28
 
7.7%
: 23
 
6.3%
/ 13
 
3.6%
· 9
 
2.5%
! 8
 
2.2%
… 5
 
1.4%
@ 4
 
1.1%
Decimal Number
ValueCountFrequency (%)
0 28
18.2%
1 27
17.5%
2 24
15.6%
3 19
12.3%
9 12
7.8%
8 11
 
7.1%
5 10
 
6.5%
7 9
 
5.8%
6 9
 
5.8%
4 5
 
3.2%
Close Punctuation
ValueCountFrequency (%)
) 10
45.5%
] 7
31.8%
】 5
22.7%
Open Punctuation
ValueCountFrequency (%)
( 10
45.5%
[ 7
31.8%
【 5
22.7%
Math Symbol
ValueCountFrequency (%)
> 10
50.0%
< 10
50.0%
Space Separator
ValueCountFrequency (%)
2043
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 64
100.0%
Other Symbol
ValueCountFrequency (%)
▶ 13
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5953
67.7%
Common 2706
30.8%
Latin 134
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
다 199
 
3.3%
이 142
 
2.4%
니 133
 
2.2%
해 119
 
2.0%
에 109
 
1.8%
의 99
 
1.7%
시 96
 
1.6%
습 95
 
1.6%
기 94
 
1.6%
는 94
 
1.6%
Other values (497) 4773
80.2%
Common
ValueCountFrequency (%)
2043
75.5%
. 151
 
5.6%
" 71
 
2.6%
- 64
 
2.4%
, 51
 
1.9%
' 28
 
1.0%
0 28
 
1.0%
1 27
 
1.0%
2 24
 
0.9%
: 23
 
0.8%
Other values (23) 196
 
7.2%
Latin
ValueCountFrequency (%)
N 21
15.7%
M 19
14.2%
B 19
14.2%
o 7
 
5.2%
n 7
 
5.2%
O 6
 
4.5%
b 5
 
3.7%
k 5
 
3.7%
r 5
 
3.7%
c 4
 
3.0%
Other values (20) 36
26.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5953
67.7%
ASCII 2803
31.9%
None 19
 
0.2%
Geometric Shapes 13
 
0.1%
Punctuation 5
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2043
72.9%
. 151
 
5.4%
" 71
 
2.5%
- 64
 
2.3%
, 51
 
1.8%
' 28
 
1.0%
0 28
 
1.0%
1 27
 
1.0%
2 24
 
0.9%
: 23
 
0.8%
Other values (48) 293
 
10.5%
Hangul
ValueCountFrequency (%)
다 199
 
3.3%
이 142
 
2.4%
니 133
 
2.2%
해 119
 
2.0%
에 109
 
1.8%
의 99
 
1.7%
시 96
 
1.6%
습 95
 
1.6%
기 94
 
1.6%
는 94
 
1.6%
Other values (497) 4773
80.2%
Geometric Shapes
ValueCountFrequency (%)
▶ 13
100.0%
None
ValueCountFrequency (%)
· 9
47.4%
【 5
26.3%
】 5
26.3%
Punctuation
ValueCountFrequency (%)
… 5
100.0%

MDA_ART_ESSN_NO
Text

MISSING 

Distinct11
Distinct (%)84.6%
Missing288
Missing (%)95.7%
Memory size2.5 KiB
2023-12-12T07:19:41.551399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length7
Mean length7.4615385
Min length7

Characters and Unicode

Total characters97
Distinct characters9
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

Unique10 ?
Unique (%)76.9%

Sample

1st row4023135
2nd row4023136
3rd row4023141
4th row4023142
5th row4023143
ValueCountFrequency (%)
3
23.1%
4023135 1
 
7.7%
4023136 1
 
7.7%
4023141 1
 
7.7%
4023142 1
 
7.7%
4023143 1
 
7.7%
4023151 1
 
7.7%
4023160 1
 
7.7%
4023161 1
 
7.7%
4023164 1
 
7.7%
2023-12-12T07:19:41.777924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 27
27.8%
4 14
14.4%
3 13
13.4%
1 13
13.4%
0 11
11.3%
2 11
11.3%
6 5
 
5.2%
5 2
 
2.1%
9 1
 
1.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 70
72.2%
Other Punctuation 27
 
27.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 14
20.0%
3 13
18.6%
1 13
18.6%
0 11
15.7%
2 11
15.7%
6 5
 
7.1%
5 2
 
2.9%
9 1
 
1.4%
Other Punctuation
ValueCountFrequency (%)
, 27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 97
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
, 27
27.8%
4 14
14.4%
3 13
13.4%
1 13
13.4%
0 11
11.3%
2 11
11.3%
6 5
 
5.2%
5 2
 
2.1%
9 1
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 97
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 27
27.8%
4 14
14.4%
3 13
13.4%
1 13
13.4%
0 11
11.3%
2 11
11.3%
6 5
 
5.2%
5 2
 
2.1%
9 1
 
1.0%

MDA_CGR_NM
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct8
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
<NA>
285 
mbn00009
 
10
손하늘
 
1
박상호
 
1
강영호
 
1
Other values (3)
 
3

Length

Max length8
Median length4
Mean length4.1129568
Min length3

Unique

Unique6 ?
Unique (%)2.0%

Sample

1st row<NA>
2nd rowmbn00009
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 285
94.7%
mbn00009 10
 
3.3%
손하늘 1
 
0.3%
박상호 1
 
0.3%
강영호 1
 
0.3%
안병욱 1
 
0.3%
김지영 1
 
0.3%
민미경 1
 
0.3%

Length

2023-12-12T07:19:41.874683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T07:19:41.966207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 285
94.7%
mbn00009 10
 
3.3%
손하늘 1
 
0.3%
박상호 1
 
0.3%
강영호 1
 
0.3%
안병욱 1
 
0.3%
김지영 1
 
0.3%
민미경 1
 
0.3%

STD_YEAR
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct8
Distinct (%)40.0%
Missing281
Missing (%)93.4%
Infinite0
Infinite (%)0.0%
Mean1.0100051 × 1013
Minimum2020
Maximum2.0200101 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2023-12-12T07:19:42.062039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2020
5-th percentile2020
Q12020
median1.0100051 × 1013
Q32.0200101 × 1013
95-th percentile2.0200101 × 1013
Maximum2.0200101 × 1013
Range2.0200101 × 1013
Interquartile range (IQR)2.0200101 × 1013

Descriptive statistics

Standard deviation1.0362433 × 1013
Coefficient of variation (CV)1.0259784
Kurtosis-2.2352941
Mean1.0100051 × 1013
Median Absolute Deviation (MAD)1.0100051 × 1013
Skewness7.9419715 × 10-18
Sum2.0200101 × 1014
Variance1.0738002 × 1026
MonotonicityNot monotonic
2023-12-12T07:19:42.169954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
2020 10
 
3.3%
20200101080035 3
 
1.0%
20200101075035 2
 
0.7%
20200101082635 1
 
0.3%
20200101090235 1
 
0.3%
20200101091008 1
 
0.3%
20200101091849 1
 
0.3%
20200101093403 1
 
0.3%
(Missing) 281
93.4%
ValueCountFrequency (%)
2020 10
3.3%
20200101075035 2
 
0.7%
20200101080035 3
 
1.0%
20200101082635 1
 
0.3%
20200101090235 1
 
0.3%
20200101091008 1
 
0.3%
20200101091849 1
 
0.3%
20200101093403 1
 
0.3%
ValueCountFrequency (%)
20200101093403 1
 
0.3%
20200101091849 1
 
0.3%
20200101091008 1
 
0.3%
20200101090235 1
 
0.3%
20200101082635 1
 
0.3%
20200101080035 3
 
1.0%
20200101075035 2
 
0.7%
2020 10
3.3%

ART_SJ_CN
Text

MISSING 

Distinct10
Distinct (%)100.0%
Missing291
Missing (%)96.7%
Memory size2.5 KiB
2023-12-12T07:19:42.380295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length32
Mean length28.9
Min length16

Characters and Unicode

Total characters289
Distinct characters127
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)100.0%

Sample

1st row"작은 소망 담아서"…경자년 '새해 1호' 탄생의 순간들
2nd row"경자년 첫해 솟았다"…부산 해운대 일출 장관
3rd row'펭수·류현진'과 함께한 보신각 타종…경자년 새해 소망 담았다
4th row조국 부부, 아들 대리시험 의혹…유시민 "검찰이 깜찍 기소"
5th row'선거개입 의혹' 송병기 구속영장 기각…검찰 "납득 어렵다"
ValueCountFrequency (%)
새해 3
 
4.5%
경자년 3
 
4.5%
선거개입 2
 
3.0%
소망 2
 
3.0%
송병기 2
 
3.0%
의혹 2
 
3.0%
1일 1
 
1.5%
부산서 1
 
1.5%
시작 1
 
1.5%
클로징 1
 
1.5%
Other values (49) 49
73.1%
2023-12-12T07:19:42.694224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
57
 
19.7%
" 12
 
4.2%
' 10
 
3.5%
… 7
 
2.4%
해 6
 
2.1%
경 5
 
1.7%
자 5
 
1.7%
년 5
 
1.7%
부 5
 
1.7%
기 5
 
1.7%
Other values (117) 172
59.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 191
66.1%
Space Separator 57
 
19.7%
Other Punctuation 33
 
11.4%
Decimal Number 5
 
1.7%
Uppercase Letter 3
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
해 6
 
3.1%
경 5
 
2.6%
자 5
 
2.6%
년 5
 
2.6%
부 5
 
2.6%
기 5
 
2.6%
소 4
 
2.1%
의 4
 
2.1%
다 4
 
2.1%
시 3
 
1.6%
Other values (105) 145
75.9%
Other Punctuation
ValueCountFrequency (%)
" 12
36.4%
' 10
30.3%
… 7
21.2%
, 3
 
9.1%
· 1
 
3.0%
Decimal Number
ValueCountFrequency (%)
1 3
60.0%
0 1
 
20.0%
3 1
 
20.0%
Uppercase Letter
ValueCountFrequency (%)
N 1
33.3%
B 1
33.3%
M 1
33.3%
Space Separator
ValueCountFrequency (%)
57
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 191
66.1%
Common 95
32.9%
Latin 3
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
해 6
 
3.1%
경 5
 
2.6%
자 5
 
2.6%
년 5
 
2.6%
부 5
 
2.6%
기 5
 
2.6%
소 4
 
2.1%
의 4
 
2.1%
다 4
 
2.1%
시 3
 
1.6%
Other values (105) 145
75.9%
Common
ValueCountFrequency (%)
57
60.0%
" 12
 
12.6%
' 10
 
10.5%
… 7
 
7.4%
, 3
 
3.2%
1 3
 
3.2%
0 1
 
1.1%
3 1
 
1.1%
· 1
 
1.1%
Latin
ValueCountFrequency (%)
N 1
33.3%
B 1
33.3%
M 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 191
66.1%
ASCII 90
31.1%
Punctuation 7
 
2.4%
None 1
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
57
63.3%
" 12
 
13.3%
' 10
 
11.1%
, 3
 
3.3%
1 3
 
3.3%
N 1
 
1.1%
B 1
 
1.1%
M 1
 
1.1%
0 1
 
1.1%
3 1
 
1.1%
Punctuation
ValueCountFrequency (%)
… 7
100.0%
Hangul
ValueCountFrequency (%)
해 6
 
3.1%
경 5
 
2.6%
자 5
 
2.6%
년 5
 
2.6%
부 5
 
2.6%
기 5
 
2.6%
소 4
 
2.1%
의 4
 
2.1%
다 4
 
2.1%
시 3
 
1.6%
Other values (105) 145
75.9%
None
ValueCountFrequency (%)
· 1
100.0%

ART_CN
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct5
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
<NA>
291 
【 앵커멘트 】
 
5
<!------------ PHOTO_POS_0 ------------>
 
3
<1>새해 복 많이 받으세요. 2020년 경자년 새해가 밝았습니다. 오늘도 영하 10도 안팎의 추위가 이어지고 있습니다. 여전히 내륙 곳곳으로는 한파 주의보가 발효 중입니다. 이 시각 서울 영하 4.6, 안동 영하 8.4도입니다.
 
1
2020년 하얀 쥐의 해, 경자년 새해 아침 굿모닝MBN 마칩니다.
 
1

Length

Max length128
Median length4
Mean length4.9468439
Min length4

Unique

Unique2 ?
Unique (%)0.7%

Sample

1st row<NA>
2nd row【 앵커멘트 】
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 291
96.7%
【 앵커멘트 】 5
 
1.7%
<!------------ PHOTO_POS_0 ------------> 3
 
1.0%
<1>새해 복 많이 받으세요. 2020년 경자년 새해가 밝았습니다. 오늘도 영하 10도 안팎의 추위가 이어지고 있습니다. 여전히 내륙 곳곳으로는 한파 주의보가 발효 중입니다. 이 시각 서울 영하 4.6, 안동 영하 8.4도입니다. 1
 
0.3%
2020년 하얀 쥐의 해, 경자년 새해 아침 굿모닝MBN 마칩니다. 1
 
0.3%

Length

2023-12-12T07:19:42.843729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T07:19:42.936753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 291
82.2%
6
 
1.7%
앵커멘트 5
 
1.4%
】 5
 
1.4%
【 5
 
1.4%
영하 3
 
0.8%
photo_pos_0 3
 
0.8%
2020년 2
 
0.6%
경자년 2
 
0.6%
중입니다 1
 
0.3%
Other values (31) 31
 
8.8%

ATCH_IMG_NM
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing301
Missing (%)100.0%
Memory size2.8 KiB

JRNL_NM
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing301
Missing (%)100.0%
Memory size2.8 KiB

WRT_DATE
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing301
Missing (%)100.0%
Memory size2.8 KiB

Unnamed: 9
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing301
Missing (%)100.0%
Memory size2.8 KiB

Interactions

2023-12-12T07:19:40.432705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T07:19:43.011221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
MDA_ART_ESSN_NOMDA_CGR_NMSTD_YEARART_SJ_CNART_CN
MDA_ART_ESSN_NO1.000NaNNaN1.0001.000
MDA_CGR_NMNaN1.000NaNNaNNaN
STD_YEARNaNNaN1.000NaNNaN
ART_SJ_CN1.000NaNNaN1.0001.000
ART_CN1.000NaNNaN1.0001.000
2023-12-12T07:19:43.096070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ART_CNMDA_CGR_NM
ART_CN1.0001.000
MDA_CGR_NM1.0001.000
2023-12-12T07:19:43.174750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
STD_YEARMDA_CGR_NMART_CN
STD_YEAR1.0000.8021.000
MDA_CGR_NM0.8021.0001.000
ART_CN1.0001.0001.000

Missing values

2023-12-12T07:19:40.579554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T07:19:40.690693image/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.
2023-12-12T07:19:40.791614image/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

MBN_MDA_SP_CDMDA_ART_ESSN_NOMDA_CGR_NMSTD_YEARART_SJ_CNART_CNATCH_IMG_NMJRNL_NMWRT_DATEUnnamed: 9
0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1MBN4023135mbn000092020"작은 소망 담아서"…경자년 '새해 1호' 탄생의 순간들【 앵커멘트 】<NA><NA><NA><NA>
22020년이 시작된 지 불과 8시간밖에 안 된 아침이지만, 밤사이 '새해 1호'가 된 주인공들이 속속 탄생했습니다.<NA><NA><NA><NA><NA><NA><NA><NA><NA>
3떨리는 새해 첫 순간들을 손하늘 기자가 담아왔습니다.<NA><NA><NA><NA><NA><NA><NA><NA><NA>
4<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
6【 기자 】<NA><NA><NA><NA><NA><NA><NA><NA><NA>
7지정을 앞둔 서울의 한 산부인과 분만실입니다.<NA><NA><NA><NA><NA><NA><NA><NA><NA>
8<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9▶ 스탠딩 : 손하늘 / 기자<NA><NA><NA><NA><NA><NA><NA><NA><NA>
MBN_MDA_SP_CDMDA_ART_ESSN_NOMDA_CGR_NMSTD_YEARART_SJ_CNART_CNATCH_IMG_NMJRNL_NMWRT_DATEUnnamed: 9
291검찰은 송 부시장의 구속영장 청구서에 이광철 전 청와대 민정비서관실 선임행정관(현 민정비서관), 백원우 전 민정비서관(현 민주연구원 부원장) 등 청와대 관계자도 공범으로 적시한 것으로 알려졌습니다.<NA><NA><NA><NA><NA><NA><NA><NA><NA>
292<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
293검찰은 이날 영장실질심사에서 송 시장의 측근인 송 부시장의 역할을 강조한 것으로 알려졌습니다. 송 부시장의 업무수첩 내용대로 지방선거가 기획·실행됐으며 증거인멸의 우려도 있다고 밝힌 것으로 전해졌습니다.<NA><NA><NA><NA><NA><NA><NA><NA><NA>
294<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
295그러나 송 부시장은 혐의를 모두 부인한 것으로 알려졌습니다. 업무수첩의 성격에 대해서도 "메모 형식으로 만든 조그마한 책자일 뿐이고 틀린 내용도 많다"고 강조한 것으로 전해졌습니다.<NA><NA><NA><NA><NA><NA><NA><NA><NA>
296<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
297검찰은 이르면 이번 주 선거개입 의혹의 수혜자로 지목된 송 시장, 김 전 시장 측근 비리 의혹을 수사한 당시 57세 황운하 울산지방경찰청장을 소환할 것으로 예상됐지만, 수사 일정에 차질이 예상됩니다.<NA><NA><NA><NA><NA><NA><NA><NA><NA>
298<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
299[MBN 온라인뉴스팀],,,,,,,,,<NA>20200101093403<NA><NA><NA><NA><NA><NA>
300<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>

Duplicate rows

Most frequently occurring

MBN_MDA_SP_CDMDA_ART_ESSN_NOMDA_CGR_NMSTD_YEARART_SJ_CNART_CN# duplicates
2<NA><NA><NA><NA><NA><NA>124
1【 기자 】<NA><NA><NA><NA><NA>5
0<!------------ PHOTO_POS_1 ------------><NA><NA><NA><NA><NA>2