Overview

Dataset statistics

Number of variables8
Number of observations930
Missing cells106
Missing cells (%)1.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory60.1 KiB
Average record size in memory66.1 B

Variable types

Numeric2
DateTime2
Text3
Categorical1

Dataset

Description현대한국구술자료관 면담내용과 관련된 면담시간, 면담장소, 자료수집지역 등이 포함됨
Author한국학중앙연구원
URLhttps://www.data.go.kr/data/15049081/fileData.do

Alerts

수집자료 is highly imbalanced (58.2%)Imbalance
자료수집지역 has 100 (10.8%) missing valuesMissing

Reproduction

Analysis started2023-12-12 18:59:07.818565
Analysis finished2023-12-12 18:59:10.728382
Duration2.91 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

Distinct929
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean620.79892
Minimum1
Maximum1575
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.3 KiB
2023-12-13T03:59:10.834394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile49.45
Q1252.25
median563.5
Q3897.75
95-th percentile1491.05
Maximum1575
Range1574
Interquartile range (IQR)645.5

Descriptive statistics

Standard deviation434.55125
Coefficient of variation (CV)0.69998711
Kurtosis-0.66758417
Mean620.79892
Median Absolute Deviation (MAD)325
Skewness0.54237037
Sum577343
Variance188834.79
MonotonicityNot monotonic
2023-12-13T03:59:11.060062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1538 2
 
0.2%
616 1
 
0.1%
806 1
 
0.1%
767 1
 
0.1%
857 1
 
0.1%
858 1
 
0.1%
859 1
 
0.1%
860 1
 
0.1%
782 1
 
0.1%
861 1
 
0.1%
Other values (919) 919
98.8%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
11 1
0.1%
ValueCountFrequency (%)
1575 1
0.1%
1574 1
0.1%
1573 1
0.1%
1572 1
0.1%
1571 1
0.1%
1570 1
0.1%
1569 1
0.1%
1566 1
0.1%
1564 1
0.1%
1563 1
0.1%

면담횟수
Real number (ℝ)

Distinct14
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.2741935
Minimum1
Maximum14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.3 KiB
2023-12-13T03:59:11.256748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum14
Range13
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.5860943
Coefficient of variation (CV)0.69743152
Kurtosis8.7721578
Mean2.2741935
Median Absolute Deviation (MAD)1
Skewness2.2626957
Sum2115
Variance2.515695
MonotonicityNot monotonic
2023-12-13T03:59:11.426515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
1 366
39.4%
2 262
28.2%
3 149
16.0%
4 75
 
8.1%
5 40
 
4.3%
6 19
 
2.0%
7 9
 
1.0%
8 4
 
0.4%
14 1
 
0.1%
13 1
 
0.1%
Other values (4) 4
 
0.4%
ValueCountFrequency (%)
1 366
39.4%
2 262
28.2%
3 149
16.0%
4 75
 
8.1%
5 40
 
4.3%
6 19
 
2.0%
7 9
 
1.0%
8 4
 
0.4%
9 1
 
0.1%
10 1
 
0.1%
ValueCountFrequency (%)
14 1
 
0.1%
13 1
 
0.1%
12 1
 
0.1%
11 1
 
0.1%
10 1
 
0.1%
9 1
 
0.1%
8 4
 
0.4%
7 9
 
1.0%
6 19
2.0%
5 40
4.3%

면담등록일
Date

Distinct735
Distinct (%)79.0%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
Minimum2005-09-11 00:00:00
Maximum2018-09-10 00:00:00
2023-12-13T03:59:11.628513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:59:11.835240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

면담시간
Date

Distinct839
Distinct (%)90.2%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
Minimum2023-12-13 00:00:00
Maximum2023-12-13 20:47:44
2023-12-13T03:59:12.016953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:59:12.248592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

면담장소
Text

Distinct413
Distinct (%)44.5%
Missing1
Missing (%)0.1%
Memory size7.4 KiB
2023-12-13T03:59:12.631280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length30
Mean length14.379978
Min length2

Characters and Unicode

Total characters13359
Distinct characters387
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique184 ?
Unique (%)19.8%

Sample

1st row인천광역시 청라지구 자택
2nd row거제도 구술자의 가게
3rd row구술자 자택
4th row서울시 서초구 서초동 한국수출입은행 동호회
5th row광주시 북구 두암3동 구술자 자택
ValueCountFrequency (%)
자택 235
 
7.4%
구술자 197
 
6.2%
사무실 194
 
6.1%
서울 122
 
3.8%
서울시 106
 
3.3%
경기도 71
 
2.2%
소재 70
 
2.2%
강남구 61
 
1.9%
회의실 43
 
1.3%
종로구 35
 
1.1%
Other values (617) 2059
64.5%
2023-12-13T03:59:13.270875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2265
 
17.0%
구 609
 
4.6%
자 498
 
3.7%
동 431
 
3.2%
서 379
 
2.8%
사 370
 
2.8%
실 349
 
2.6%
울 296
 
2.2%
회 260
 
1.9%
택 245
 
1.8%
Other values (377) 7657
57.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10651
79.7%
Space Separator 2265
 
17.0%
Decimal Number 334
 
2.5%
Uppercase Letter 36
 
0.3%
Other Punctuation 22
 
0.2%
Open Punctuation 19
 
0.1%
Close Punctuation 19
 
0.1%
Dash Punctuation 13
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 609
 
5.7%
자 498
 
4.7%
동 431
 
4.0%
서 379
 
3.6%
사 370
 
3.5%
실 349
 
3.3%
울 296
 
2.8%
회 260
 
2.4%
택 245
 
2.3%
무 236
 
2.2%
Other values (345) 6978
65.5%
Uppercase Letter
ValueCountFrequency (%)
X 8
22.2%
T 8
22.2%
K 8
22.2%
I 2
 
5.6%
P 2
 
5.6%
V 2
 
5.6%
S 1
 
2.8%
G 1
 
2.8%
J 1
 
2.8%
M 1
 
2.8%
Other values (2) 2
 
5.6%
Decimal Number
ValueCountFrequency (%)
2 63
18.9%
1 62
18.6%
3 49
14.7%
0 43
12.9%
4 33
9.9%
5 29
8.7%
6 23
 
6.9%
8 14
 
4.2%
7 10
 
3.0%
9 8
 
2.4%
Other Punctuation
ValueCountFrequency (%)
. 7
31.8%
; 4
18.2%
# 4
18.2%
& 4
18.2%
· 2
 
9.1%
/ 1
 
4.5%
Space Separator
ValueCountFrequency (%)
2265
100.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10651
79.7%
Common 2672
 
20.0%
Latin 36
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 609
 
5.7%
자 498
 
4.7%
동 431
 
4.0%
서 379
 
3.6%
사 370
 
3.5%
실 349
 
3.3%
울 296
 
2.8%
회 260
 
2.4%
택 245
 
2.3%
무 236
 
2.2%
Other values (345) 6978
65.5%
Common
ValueCountFrequency (%)
2265
84.8%
2 63
 
2.4%
1 62
 
2.3%
3 49
 
1.8%
0 43
 
1.6%
4 33
 
1.2%
5 29
 
1.1%
6 23
 
0.9%
( 19
 
0.7%
) 19
 
0.7%
Other values (10) 67
 
2.5%
Latin
ValueCountFrequency (%)
X 8
22.2%
T 8
22.2%
K 8
22.2%
I 2
 
5.6%
P 2
 
5.6%
V 2
 
5.6%
S 1
 
2.8%
G 1
 
2.8%
J 1
 
2.8%
M 1
 
2.8%
Other values (2) 2
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10651
79.7%
ASCII 2706
 
20.3%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2265
83.7%
2 63
 
2.3%
1 62
 
2.3%
3 49
 
1.8%
0 43
 
1.6%
4 33
 
1.2%
5 29
 
1.1%
6 23
 
0.8%
( 19
 
0.7%
) 19
 
0.7%
Other values (21) 101
 
3.7%
Hangul
ValueCountFrequency (%)
구 609
 
5.7%
자 498
 
4.7%
동 431
 
4.0%
서 379
 
3.6%
사 370
 
3.5%
실 349
 
3.3%
울 296
 
2.8%
회 260
 
2.4%
택 245
 
2.3%
무 236
 
2.2%
Other values (345) 6978
65.5%
None
ValueCountFrequency (%)
· 2
100.0%

자료수집지역
Text

MISSING 

Distinct169
Distinct (%)20.4%
Missing100
Missing (%)10.8%
Memory size7.4 KiB
2023-12-13T03:59:13.782208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length17
Mean length6.5349398
Min length2

Characters and Unicode

Total characters5424
Distinct characters172
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique51 ?
Unique (%)6.1%

Sample

1st row인천광역시 청라지구 자택
2nd row경남 거제
3rd row서울시
4th row서울시 서초구
5th row광주시 북구
ValueCountFrequency (%)
서울시 291
18.4%
서울 205
 
13.0%
경기도 140
 
8.8%
강남구 89
 
5.6%
서초구 51
 
3.2%
서울특별시 39
 
2.5%
용산구 37
 
2.3%
성남시 34
 
2.1%
동대문구 34
 
2.1%
자택 30
 
1.9%
Other values (160) 633
40.0%
2023-12-13T03:59:14.534287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
753
13.9%
서 619
 
11.4%
울 537
 
9.9%
시 449
 
8.3%
구 417
 
7.7%
도 199
 
3.7%
동 192
 
3.5%
경 158
 
2.9%
남 157
 
2.9%
기 144
 
2.7%
Other values (162) 1799
33.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4650
85.7%
Space Separator 753
 
13.9%
Decimal Number 9
 
0.2%
Uppercase Letter 6
 
0.1%
Close Punctuation 3
 
0.1%
Open Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 619
 
13.3%
울 537
 
11.5%
시 449
 
9.7%
구 417
 
9.0%
도 199
 
4.3%
동 192
 
4.1%
경 158
 
3.4%
남 157
 
3.4%
기 144
 
3.1%
강 99
 
2.1%
Other values (153) 1679
36.1%
Decimal Number
ValueCountFrequency (%)
2 3
33.3%
5 2
22.2%
1 2
22.2%
8 2
22.2%
Uppercase Letter
ValueCountFrequency (%)
L 3
50.0%
A 3
50.0%
Space Separator
ValueCountFrequency (%)
753
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4650
85.7%
Common 768
 
14.2%
Latin 6
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 619
 
13.3%
울 537
 
11.5%
시 449
 
9.7%
구 417
 
9.0%
도 199
 
4.3%
동 192
 
4.1%
경 158
 
3.4%
남 157
 
3.4%
기 144
 
3.1%
강 99
 
2.1%
Other values (153) 1679
36.1%
Common
ValueCountFrequency (%)
753
98.0%
2 3
 
0.4%
) 3
 
0.4%
( 3
 
0.4%
5 2
 
0.3%
1 2
 
0.3%
8 2
 
0.3%
Latin
ValueCountFrequency (%)
L 3
50.0%
A 3
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4650
85.7%
ASCII 774
 
14.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
753
97.3%
L 3
 
0.4%
2 3
 
0.4%
A 3
 
0.4%
) 3
 
0.4%
( 3
 
0.4%
5 2
 
0.3%
1 2
 
0.3%
8 2
 
0.3%
Hangul
ValueCountFrequency (%)
서 619
 
13.3%
울 537
 
11.5%
시 449
 
9.7%
구 417
 
9.0%
도 199
 
4.3%
동 192
 
4.1%
경 158
 
3.4%
남 157
 
3.4%
기 144
 
3.1%
강 99
 
2.1%
Other values (153) 1679
36.1%

수집자료
Categorical

IMBALANCE 

Distinct39
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
<NA>
474 
없음
212 
없음.
122 
1. 수집된 문서, 물건이 없음.
 
41
구술장면 사진
 
33
Other values (34)
48 

Length

Max length152
Median length4
Mean length5.0946237
Min length2

Unique

Unique26 ?
Unique (%)2.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 474
51.0%
없음 212
22.8%
없음. 122
 
13.1%
1. 수집된 문서, 물건이 없음. 41
 
4.4%
구술장면 사진 33
 
3.5%
1. 구술동의서, 구술자료 활용 동의서 받음 6
 
0.6%
사진 자료 3
 
0.3%
사진 3
 
0.3%
구술장면 사진, 실록ㆍ민청학련 1-4 2
 
0.2%
구술 사진 2
 
0.2%
Other values (29) 32
 
3.4%

Length

2023-12-13T03:59:14.811338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 474
35.5%
없음 378
28.3%
사진 52
 
3.9%
1 50
 
3.7%
수집된 43
 
3.2%
문서 42
 
3.1%
물건이 42
 
3.1%
구술장면 35
 
2.6%
구술동의서 10
 
0.7%
구술자료 10
 
0.7%
Other values (137) 199
14.9%

주요색인어
Text

Distinct909
Distinct (%)98.3%
Missing5
Missing (%)0.5%
Memory size7.4 KiB
2023-12-13T03:59:15.344972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1024
Median length306
Mean length137.02919
Min length1

Characters and Unicode

Total characters126752
Distinct characters1203
Distinct categories12 ?
Distinct scripts5 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique898 ?
Unique (%)97.1%

Sample

1st row북미주 통일 협의회, 연방제 통일 방안, 주체사상, 74 남북 공동성명, 봉수교회, 조선기독교연맹
2nd row보일러공, 조선 노동자, 산업재해, 해외 건설, 광우병 쇠고기, 건국 60주년
3rd row한대수, 포크 음악, 대중 음악, 대중 가요, 금지곡, 건국 60주년
4th row산업은행, 한국은행, 육이오(6.25), 유엔, 국세청, 농림부, 상공부,
5th row에이알디, 케이디아이, 오일륙(5.16), 군사정부 최고위원회,
ValueCountFrequency (%)
사건 104
 
0.5%
102
 
0.5%
신민당 83
 
0.4%
총선 81
 
0.4%
공화당 81
 
0.4%
등 71
 
0.3%
중앙정보부 71
 
0.3%
대통령 70
 
0.3%
5.16 61
 
0.3%
한국전쟁 56
 
0.3%
Other values (11494) 20850
96.4%
2023-12-13T03:59:16.158895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
21702
 
17.1%
, 15453
 
12.2%
사 1962
 
1.5%
대 1857
 
1.5%
회 1686
 
1.3%
정 1395
 
1.1%
민 1371
 
1.1%
국 1370
 
1.1%
교 1329
 
1.0%
학 1238
 
1.0%
Other values (1193) 77389
61.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 76223
60.1%
Space Separator 21702
 
17.1%
Other Punctuation 16970
 
13.4%
Decimal Number 3934
 
3.1%
Lowercase Letter 3125
 
2.5%
Uppercase Letter 2944
 
2.3%
Close Punctuation 854
 
0.7%
Open Punctuation 854
 
0.7%
Math Symbol 101
 
0.1%
Dash Punctuation 42
 
< 0.1%
Other values (2) 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 1962
 
2.6%
대 1857
 
2.4%
회 1686
 
2.2%
정 1395
 
1.8%
민 1371
 
1.8%
국 1370
 
1.8%
교 1329
 
1.7%
학 1238
 
1.6%
동 1232
 
1.6%
당 1146
 
1.5%
Other values (1108) 61637
80.9%
Uppercase Letter
ValueCountFrequency (%)
C 426
14.5%
A 244
 
8.3%
I 230
 
7.8%
S 216
 
7.3%
P 151
 
5.1%
M 149
 
5.1%
T 146
 
5.0%
K 143
 
4.9%
D 136
 
4.6%
N 130
 
4.4%
Other values (16) 973
33.1%
Lowercase Letter
ValueCountFrequency (%)
e 332
10.6%
n 315
10.1%
a 311
10.0%
i 291
9.3%
o 261
 
8.4%
t 243
 
7.8%
r 234
 
7.5%
s 177
 
5.7%
l 149
 
4.8%
c 109
 
3.5%
Other values (15) 703
22.5%
Other Punctuation
ValueCountFrequency (%)
, 15453
91.1%
. 556
 
3.3%
/ 491
 
2.9%
· 137
 
0.8%
& 91
 
0.5%
; 85
 
0.5%
# 84
 
0.5%
… 52
 
0.3%
: 16
 
0.1%
' 4
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
1 897
22.8%
2 508
12.9%
6 458
11.6%
5 440
11.2%
8 364
9.3%
0 315
 
8.0%
3 292
 
7.4%
4 265
 
6.7%
9 257
 
6.5%
7 138
 
3.5%
Close Punctuation
ValueCountFrequency (%)
) 838
98.1%
』 15
 
1.8%
] 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 838
98.1%
『 15
 
1.8%
[ 1
 
0.1%
Math Symbol
ValueCountFrequency (%)
< 50
49.5%
> 50
49.5%
~ 1
 
1.0%
Space Separator
ValueCountFrequency (%)
21702
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 42
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 2
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 75625
59.7%
Common 44460
35.1%
Latin 6069
 
4.8%
Han 591
 
0.5%
Hiragana 7
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 1962
 
2.6%
대 1857
 
2.5%
회 1686
 
2.2%
정 1395
 
1.8%
민 1371
 
1.8%
국 1370
 
1.8%
교 1329
 
1.8%
학 1238
 
1.6%
동 1232
 
1.6%
당 1146
 
1.5%
Other values (772) 61039
80.7%
Han
ValueCountFrequency (%)
學 17
 
2.9%
國 14
 
2.4%
校 12
 
2.0%
大 11
 
1.9%
電 7
 
1.2%
高 7
 
1.2%
亞 7
 
1.2%
禪 7
 
1.2%
稅 6
 
1.0%
會 6
 
1.0%
Other values (320) 497
84.1%
Latin
ValueCountFrequency (%)
C 426
 
7.0%
e 332
 
5.5%
n 315
 
5.2%
a 311
 
5.1%
i 291
 
4.8%
o 261
 
4.3%
A 244
 
4.0%
t 243
 
4.0%
r 234
 
3.9%
I 230
 
3.8%
Other values (41) 3182
52.4%
Common
ValueCountFrequency (%)
21702
48.8%
, 15453
34.8%
1 897
 
2.0%
) 838
 
1.9%
( 838
 
1.9%
. 556
 
1.3%
2 508
 
1.1%
/ 491
 
1.1%
6 458
 
1.0%
5 440
 
1.0%
Other values (24) 2279
 
5.1%
Hiragana
ValueCountFrequency (%)
ん 2
28.6%
け 1
14.3%
い 1
14.3%
だ 1
14.3%
れ 1
14.3%
の 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 75613
59.7%
ASCII 50307
39.7%
CJK 583
 
0.5%
None 167
 
0.1%
Punctuation 55
 
< 0.1%
Compat Jamo 12
 
< 0.1%
CJK Compat Ideographs 8
 
< 0.1%
Hiragana 7
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
21702
43.1%
, 15453
30.7%
1 897
 
1.8%
) 838
 
1.7%
( 838
 
1.7%
. 556
 
1.1%
2 508
 
1.0%
/ 491
 
1.0%
6 458
 
0.9%
5 440
 
0.9%
Other values (69) 8126
 
16.2%
Hangul
ValueCountFrequency (%)
사 1962
 
2.6%
대 1857
 
2.5%
회 1686
 
2.2%
정 1395
 
1.8%
민 1371
 
1.8%
국 1370
 
1.8%
교 1329
 
1.8%
학 1238
 
1.6%
동 1232
 
1.6%
당 1146
 
1.5%
Other values (771) 61027
80.7%
None
ValueCountFrequency (%)
· 137
82.0%
』 15
 
9.0%
『 15
 
9.0%
Punctuation
ValueCountFrequency (%)
… 52
94.5%
’ 2
 
3.6%
‘ 1
 
1.8%
CJK
ValueCountFrequency (%)
學 17
 
2.9%
國 14
 
2.4%
校 12
 
2.1%
大 11
 
1.9%
電 7
 
1.2%
高 7
 
1.2%
亞 7
 
1.2%
禪 7
 
1.2%
稅 6
 
1.0%
會 6
 
1.0%
Other values (314) 489
83.9%
Compat Jamo
ValueCountFrequency (%)
ㆍ 12
100.0%
Hiragana
ValueCountFrequency (%)
ん 2
28.6%
け 1
14.3%
い 1
14.3%
だ 1
14.3%
れ 1
14.3%
の 1
14.3%
CJK Compat Ideographs
ValueCountFrequency (%)
不 2
25.0%
金 2
25.0%
聯 1
12.5%
論 1
12.5%
勞 1
12.5%
車 1
12.5%

Interactions

2023-12-13T03:59:09.889903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:59:09.489646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:59:10.054513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:59:09.714515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T03:59:16.304630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호면담횟수수집자료
번호1.0000.2250.788
면담횟수0.2251.0000.000
수집자료0.7880.0001.000
2023-12-13T03:59:16.437690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호면담횟수수집자료
번호1.0000.1300.401
면담횟수0.1301.0000.000
수집자료0.4010.0001.000

Missing values

2023-12-13T03:59:10.262760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T03:59:10.463758image/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.
2023-12-13T03:59:10.640541image/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

번호면담횟수면담등록일면담시간면담장소자료수집지역수집자료주요색인어
061642013-04-25 0:001:43:31인천광역시 청라지구 자택인천광역시 청라지구 자택<NA>북미주 통일 협의회, 연방제 통일 방안, 주체사상, 74 남북 공동성명, 봉수교회, 조선기독교연맹
151012008-07-20 0:001:02:28거제도 구술자의 가게경남 거제<NA>보일러공, 조선 노동자, 산업재해, 해외 건설, 광우병 쇠고기, 건국 60주년
251112008-07-13 0:001:57:27구술자 자택서울시<NA>한대수, 포크 음악, 대중 음악, 대중 가요, 금지곡, 건국 60주년
36112010-02-09 0:001:49:01서울시 서초구 서초동 한국수출입은행 동호회서울시 서초구<NA>산업은행, 한국은행, 육이오(6.25), 유엔, 국세청, 농림부, 상공부,
448212008-07-13 0:002:06:54광주시 북구 두암3동 구술자 자택광주시 북구<NA>에이알디, 케이디아이, 오일륙(5.16), 군사정부 최고위원회,
550612008-07-10 0:001:33:40한국디지털케이블연구원 원장실서울시<NA>유학, 공업화, 산업화, 휴대폰, 한국전자통신연구원, TDX, 정보통신기술, IT, 교수, 임헌영, IMF 외환 위기, 건국 60주년
646912008-07-31 0:001:21:33인천 찬양교회 쉼터 카페인천광역시 옹진군<NA>대민행정, 해양청, 공무원, 등대지기, 선박 항로, 섬, 어촌, 건국 60주년
716422011-01-11 0:001:25:32방배동 자택<NA>없음유정회, 공화당, 평가교수단, 6.23 선언, 7.4 남북공동성명, 닉슨독트린, IPU, APU, 조총련, 가족법, 세계청년반공연맹, 민정당, 새마을, 월남전, 지역구, 김옥선파동, UN, 조총련, 현대아파트분양사건, 공산권, 한일의원간친회, 대정부질문, 가족법개정, 여성의원
816312010-12-29 0:001:34:57방배동 자택<NA>없음박성연장학재단, 새천년포럼, 6.25, 신인회, 켄터키대, 아메리칸대, 미국의 소리, 게릴라, 워싱턴포스트, 여성유권자연맹
947012008-07-10 0:001:56:18강서방화자활지원센터 상담실서울시 강서구<NA>비정규직, 영세민, 자활센터, 임대아파트, 노동자, 건국 60주년
번호면담횟수면담등록일면담시간면담장소자료수집지역수집자료주요색인어
920143142017-12-28 0:003:31:22명지대 국제한국학연구소 사무실서울없음15대 총선, 통추, 새정치국민회, 15대 대선, DJP연합, IMF, 대통령직 인수위, 행정자치부, 경찰청, 정책실명제, 『공무원은 상전이 아니다』, 행정기구 통폐합, 정무수석
921143252017-12-29 0:003:23:24명지대 국제한국학연구소 사무실서울시없음행정자치부, 재난업무, 특별교부금, 제2건국추진위원회, 정무수석, 내각제 합의, 옷로비사건, 16대 총선, 16대 대선, 대선 선거자금, 열린우리당
922143362018-01-03 0:003:21:02명지대 국제한국학연구소 사무실서울시없음열린우리당, 17대 총선, 태권도협회, 대한체육회, 남북체육회담, 스포츠 외교, 이명박 정부, 노무현 전 대통령 서거, 부산시장 선거, 19대 총선, 18대 대선, 정계은퇴
923108112015-10-14 0:001:54:42서울 중구 영락교회 옆 솔리데오 사무실서울<NA>베트남전쟁, 월남전, 중앙신학교, 아현감리교회, 균명고등학교, 광성고등학교, 갑종간부후보생, 군수참모, PX, 보급, 사이공대학교, 1사단
924108222015-11-04 0:002:25:18서울 중구 영락교회 옆 솔리데오 사무실서울<NA>베트남 전쟁, 보급 장교, 보급창, 군수물자, ROTC, 하나회, 윤필용 사건
925108332015-11-28 0:001:51:33서울 중구 영락교회 옆 솔리데오 사무실서울<NA>6군단, 30사단, 한미연합사령부, 육군대학, 미 지휘참모대학, 10·26, 12·12, 하나회
926108442015-12-05 0:002:41:56서울 중구 영락교회 옆 솔리데오 사무실서울<NA>12·12, 하나회, 30사단, 하극상, 26사단, 충정계획, 충정훈련, 삼청교육대, 수도경비사령부, 중앙정보부, 경호실, 군선교, 전군신자화운동, 26사단, 51사단, 향토예비군, 국방대학원, 논산훈련소, 특별검열단, 국회연락단, 카투사, 하사관학교, 진급심사위원회
927108752015-12-22 0:002:09:40서울 중구 영락교회 앞 찻집서울<NA>하나회, 전두환 정권, 노태우 정권, 군 선교, 한국기독군인 연합회
928110112015-06-15 0:002:35:55우신산업 회장실전남 완주군 봉동1. 수집된 문서, 물건이 없음.현대조선소, 현대건설, 극동건설, 한국종합기술개발공사, 호남비료, 물공량표준화작업, 워터트리트먼트 플랜트 설계, 경강상업고등학교, 루루기, 미쓰이 등
929110222015-06-29 0:002:37:43우신산업 회장실전남 완주군 봉동읍1. 수집된 문서, 물건이 없음.애플도어, 스코트리스코, 현대조선소, 현대중공업, 현대건설, 유조선 진수식, 영빈각, 여산재, 주베일 항만공사, 63빌딩 건설, 고선박해체사업 본부, 여산재, 여산장학재단, 지역발전좋은모임, 어린이재단, 우신산업, 우신엔지니어링, 영호남교류활동 등