Overview

Dataset statistics

Number of variables36
Number of observations10000
Missing cells99552
Missing cells (%)27.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.9 MiB
Average record size in memory305.0 B

Variable types

Numeric6
Categorical12
Text12
DateTime5
Unsupported1

Dataset

Description문화체육관광부_정책브리핑_포토는 정책브리핑에서 서비스하는 사진기사에 대한 기본정보를 나타내는 데이터 셋 입니다
Author문화체육관광부
URLhttps://www.data.go.kr/data/15071090/fileData.do

Alerts

상태코드 has constant value ""Constant
주제코드 is highly imbalanced (53.8%)Imbalance
소속코드 is highly imbalanced (68.0%)Imbalance
기자기수아이디 is highly imbalanced (95.1%)Imbalance
사진기제작자코드 is highly imbalanced (51.0%)Imbalance
기사글분류코드 is highly imbalanced (95.7%)Imbalance
공공누리자유사용여부 is highly imbalanced (77.2%)Imbalance
공공누리유형코드 is highly imbalanced (84.5%)Imbalance
사진출처정보 is highly imbalanced (62.1%)Imbalance
부가정보 is highly imbalanced (99.8%)Imbalance
정렬순서 is highly imbalanced (88.8%)Imbalance
최종수정자아이디 is highly imbalanced (71.0%)Imbalance
기사글부제목 has 8789 (87.9%) missing valuesMissing
기사글내용 has 7458 (74.6%) missing valuesMissing
기사글태그정보 has 8057 (80.6%) missing valuesMissing
사진기기기종류명 has 7013 (70.1%) missing valuesMissing
촬영지역명 has 6761 (67.6%) missing valuesMissing
촬영지역상세주소 has 6829 (68.3%) missing valuesMissing
촬영날짜정보 has 6761 (67.6%) missing valuesMissing
촬영행위자명 has 7129 (71.3%) missing valuesMissing
썸네일저장주소 has 6271 (62.7%) missing valuesMissing
역사일자 has 2871 (28.7%) missing valuesMissing
이력년월 has 2871 (28.7%) missing valuesMissing
대표사진내용 has 9242 (92.4%) missing valuesMissing
상세주소 has 9500 (95.0%) missing valuesMissing
날짜표시구분 has 10000 (100.0%) missing valuesMissing
조회수 is highly skewed (γ1 = 28.21589233)Skewed
기사글번호 has unique valuesUnique
날짜표시구분 is an unsupported type, check if it needs cleaning or further analysisUnsupported
부모기사글번호 has 9851 (98.5%) zerosZeros
추천수 has 8116 (81.2%) zerosZeros
조회수 has 6762 (67.6%) zerosZeros

Reproduction

Analysis started2023-12-12 05:03:59.993765
Analysis finished2023-12-12 05:04:04.740062
Duration4.75 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기사글번호
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9379.392
Minimum9
Maximum47608
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T14:04:04.809933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile1038.9
Q14735.75
median8828
Q313310.75
95-th percentile16878.05
Maximum47608
Range47599
Interquartile range (IQR)8575

Descriptive statistics

Standard deviation6803.9643
Coefficient of variation (CV)0.72541635
Kurtosis12.22085
Mean9379.392
Median Absolute Deviation (MAD)4284.5
Skewness2.4914652
Sum93793920
Variance46293930
MonotonicityNot monotonic
2023-12-12T14:04:04.942709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5321 1
 
< 0.1%
8651 1
 
< 0.1%
1777 1
 
< 0.1%
16831 1
 
< 0.1%
5196 1
 
< 0.1%
9707 1
 
< 0.1%
8959 1
 
< 0.1%
5677 1
 
< 0.1%
9788 1
 
< 0.1%
11562 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
9 1
< 0.1%
10 1
< 0.1%
25 1
< 0.1%
26 1
< 0.1%
27 1
< 0.1%
28 1
< 0.1%
34 1
< 0.1%
36 1
< 0.1%
37 1
< 0.1%
38 1
< 0.1%
ValueCountFrequency (%)
47608 1
< 0.1%
47607 1
< 0.1%
47606 1
< 0.1%
47605 1
< 0.1%
47603 1
< 0.1%
47602 1
< 0.1%
47601 1
< 0.1%
47600 1
< 0.1%
47599 1
< 0.1%
47598 1
< 0.1%

주제코드
Categorical

IMBALANCE 

Distinct11
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
역사박물관
6761 
정부부처
1574 
대통령
 
585
국무총리
 
484
역사속의 오늘
 
358
Other values (6)
 
238

Length

Max length9
Median length5
Mean length4.7623
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row역사박물관
2nd row역사박물관
3rd row역사박물관
4th row역사박물관
5th row역사박물관

Common Values

ValueCountFrequency (%)
역사박물관 6761
67.6%
정부부처 1574
 
15.7%
대통령 585
 
5.9%
국무총리 484
 
4.8%
역사속의 오늘 358
 
3.6%
국민속으로 124
 
1.2%
출사지 소식 51
 
0.5%
생활의 발견 38
 
0.4%
그때 그 시절 12
 
0.1%
오늘의 물가 10
 
0.1%

Length

2023-12-12T14:04:05.076442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
역사박물관 6761
64.5%
정부부처 1574
 
15.0%
대통령 585
 
5.6%
국무총리 484
 
4.6%
역사속의 358
 
3.4%
오늘 358
 
3.4%
국민속으로 124
 
1.2%
출사지 51
 
0.5%
소식 51
 
0.5%
발견 38
 
0.4%
Other values (9) 103
 
1.0%

소속코드
Categorical

IMBALANCE 

Distinct41
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
국민소통실
7767 
국무조정실
 
484
문화체육관광부
 
220
조달청
 
166
통일부
 
158
Other values (36)
1205 

Length

Max length8
Median length5
Mean length4.93
Min length3

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row국민소통실
2nd row국민소통실
3rd row국민소통실
4th row국민소통실
5th row국민소통실

Common Values

ValueCountFrequency (%)
국민소통실 7767
77.7%
국무조정실 484
 
4.8%
문화체육관광부 220
 
2.2%
조달청 166
 
1.7%
통일부 158
 
1.6%
기자단 129
 
1.3%
중소기업청 104
 
1.0%
소방방재청 102
 
1.0%
기상청 95
 
0.9%
방송통신위원회 91
 
0.9%
Other values (31) 684
 
6.8%

Length

2023-12-12T14:04:05.209919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
국민소통실 7767
77.7%
국무조정실 484
 
4.8%
문화체육관광부 220
 
2.2%
조달청 166
 
1.7%
통일부 158
 
1.6%
기자단 129
 
1.3%
중소기업청 104
 
1.0%
소방방재청 102
 
1.0%
기상청 95
 
0.9%
방송통신위원회 91
 
0.9%
Other values (31) 684
 
6.8%

부모기사글번호
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0958
Minimum0
Maximum10
Zeros9851
Zeros (%)98.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T14:04:05.310015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.86318994
Coefficient of variation (CV)9.0103334
Kurtosis99.540273
Mean0.0958
Median Absolute Deviation (MAD)0
Skewness9.8415619
Sum958
Variance0.74509687
MonotonicityNot monotonic
2023-12-12T14:04:05.417465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 9851
98.5%
10 33
 
0.3%
9 24
 
0.2%
4 22
 
0.2%
8 20
 
0.2%
2 20
 
0.2%
3 19
 
0.2%
6 4
 
< 0.1%
7 4
 
< 0.1%
5 3
 
< 0.1%
ValueCountFrequency (%)
0 9851
98.5%
2 20
 
0.2%
3 19
 
0.2%
4 22
 
0.2%
5 3
 
< 0.1%
6 4
 
< 0.1%
7 4
 
< 0.1%
8 20
 
0.2%
9 24
 
0.2%
10 33
 
0.3%
ValueCountFrequency (%)
10 33
 
0.3%
9 24
 
0.2%
8 20
 
0.2%
7 4
 
< 0.1%
6 4
 
< 0.1%
5 3
 
< 0.1%
4 22
 
0.2%
3 19
 
0.2%
2 20
 
0.2%
0 9851
98.5%

기사글제목
Text

Distinct9903
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T14:04:05.791845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length88
Median length47
Mean length21.5525
Min length1

Characters and Unicode

Total characters215525
Distinct characters1246
Distinct categories16 ?
Distinct scripts4 ?
Distinct blocks12 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9846 ?
Unique (%)98.5%

Sample

1st row한국과학기술연구소 KIST 발족
2nd row안창호·이대위 등, 샌프란시스코에 친목회 조직
3rd row<한국일보>,
4th row일왕 히로이토, 항복 방송
5th row한국국제기아·질병·문맹퇴지기구, 북한 수해복구 첫 지원
ValueCountFrequency (%)
총리 500
 
1.1%
대통령 427
 
0.9%
등 342
 
0.7%
개최 298
 
0.6%
발표 298
 
0.6%
및 264
 
0.6%
방문 247
 
0.5%
첫 236
 
0.5%
· 226
 
0.5%
공포 201
 
0.4%
Other values (21838) 44469
93.6%
2023-12-12T14:04:06.458170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
37810
 
17.5%
, 5295
 
2.5%
국 3327
 
1.5%
대 3178
 
1.5%
회 3128
 
1.5%
1 2918
 
1.4%
사 2508
 
1.2%
한 2485
 
1.2%
정 2354
 
1.1%
제 2261
 
1.0%
Other values (1236) 150261
69.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 151414
70.3%
Space Separator 37810
 
17.5%
Decimal Number 9877
 
4.6%
Other Punctuation 8359
 
3.9%
Uppercase Letter 2158
 
1.0%
Open Punctuation 1525
 
0.7%
Close Punctuation 1516
 
0.7%
Dash Punctuation 758
 
0.4%
Math Symbol 705
 
0.3%
Final Punctuation 639
 
0.3%
Other values (6) 764
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
국 3327
 
2.2%
대 3178
 
2.1%
회 3128
 
2.1%
사 2508
 
1.7%
한 2485
 
1.6%
정 2354
 
1.6%
제 2261
 
1.5%
의 2065
 
1.4%
개 1886
 
1.2%
기 1822
 
1.2%
Other values (1124) 126400
83.5%
Uppercase Letter
ValueCountFrequency (%)
A 200
 
9.3%
C 171
 
7.9%
S 152
 
7.0%
K 144
 
6.7%
T 143
 
6.6%
B 139
 
6.4%
M 138
 
6.4%
O 127
 
5.9%
I 115
 
5.3%
E 103
 
4.8%
Other values (16) 726
33.6%
Lowercase Letter
ValueCountFrequency (%)
m 75
15.4%
e 47
9.7%
k 40
 
8.2%
a 38
 
7.8%
r 38
 
7.8%
o 37
 
7.6%
i 28
 
5.8%
n 26
 
5.3%
t 25
 
5.1%
l 22
 
4.5%
Other values (15) 110
22.6%
Other Punctuation
ValueCountFrequency (%)
, 5295
63.3%
· 1016
 
12.2%
' 878
 
10.5%
. 866
 
10.4%
" 120
 
1.4%
: 70
 
0.8%
! 28
 
0.3%
? 23
 
0.3%
/ 18
 
0.2%
& 15
 
0.2%
Other values (5) 30
 
0.4%
Decimal Number
ValueCountFrequency (%)
1 2918
29.5%
2 1604
16.2%
0 1378
14.0%
3 803
 
8.1%
5 694
 
7.0%
9 585
 
5.9%
4 541
 
5.5%
6 497
 
5.0%
8 460
 
4.7%
7 397
 
4.0%
Math Symbol
ValueCountFrequency (%)
~ 268
38.0%
< 181
25.7%
> 181
25.7%
↔ 38
 
5.4%
∼ 18
 
2.6%
→ 11
 
1.6%
+ 8
 
1.1%
Open Punctuation
ValueCountFrequency (%)
( 1211
79.4%
[ 231
 
15.1%
「 51
 
3.3%
『 22
 
1.4%
（ 8
 
0.5%
［ 2
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 1201
79.2%
] 231
 
15.2%
」 52
 
3.4%
』 22
 
1.5%
） 8
 
0.5%
］ 2
 
0.1%
Other Symbol
ValueCountFrequency (%)
㎞ 6
33.3%
㈜ 6
33.3%
㎝ 3
16.7%
㎾ 1
 
5.6%
㎿ 1
 
5.6%
☆ 1
 
5.6%
Dash Punctuation
ValueCountFrequency (%)
- 757
99.9%
－ 1
 
0.1%
Final Punctuation
ValueCountFrequency (%)
’ 629
98.4%
” 10
 
1.6%
Initial Punctuation
ValueCountFrequency (%)
‘ 226
95.4%
“ 11
 
4.6%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
50.0%
Ⅰ 1
50.0%
Space Separator
ValueCountFrequency (%)
37810
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 20
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 151117
70.1%
Common 61459
28.5%
Latin 2646
 
1.2%
Han 303
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
국 3327
 
2.2%
대 3178
 
2.1%
회 3128
 
2.1%
사 2508
 
1.7%
한 2485
 
1.6%
정 2354
 
1.6%
제 2261
 
1.5%
의 2065
 
1.4%
개 1886
 
1.2%
기 1822
 
1.2%
Other values (910) 126103
83.4%
Han
ValueCountFrequency (%)
故 8
 
2.6%
鮮 5
 
1.7%
丸 5
 
1.7%
美 4
 
1.3%
正 4
 
1.3%
朝 4
 
1.3%
府 4
 
1.3%
民 4
 
1.3%
會 4
 
1.3%
醫 3
 
1.0%
Other values (205) 258
85.1%
Common
ValueCountFrequency (%)
37810
61.5%
, 5295
 
8.6%
1 2918
 
4.7%
2 1604
 
2.6%
0 1378
 
2.2%
( 1211
 
2.0%
) 1201
 
2.0%
· 1016
 
1.7%
' 878
 
1.4%
. 866
 
1.4%
Other values (48) 7282
 
11.8%
Latin
ValueCountFrequency (%)
A 200
 
7.6%
C 171
 
6.5%
S 152
 
5.7%
K 144
 
5.4%
T 143
 
5.4%
B 139
 
5.3%
M 138
 
5.2%
O 127
 
4.8%
I 115
 
4.3%
E 103
 
3.9%
Other values (43) 1214
45.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 151078
70.1%
ASCII 61949
28.7%
None 1201
 
0.6%
Punctuation 880
 
0.4%
CJK 296
 
0.1%
Arrows 49
 
< 0.1%
Compat Jamo 33
 
< 0.1%
Math Operators 18
 
< 0.1%
CJK Compat 11
 
< 0.1%
CJK Compat Ideographs 7
 
< 0.1%
Other values (2) 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
37810
61.0%
, 5295
 
8.5%
1 2918
 
4.7%
2 1604
 
2.6%
0 1378
 
2.2%
( 1211
 
2.0%
) 1201
 
1.9%
' 878
 
1.4%
. 866
 
1.4%
3 803
 
1.3%
Other values (74) 7985
 
12.9%
Hangul
ValueCountFrequency (%)
국 3327
 
2.2%
대 3178
 
2.1%
회 3128
 
2.1%
사 2508
 
1.7%
한 2485
 
1.6%
정 2354
 
1.6%
제 2261
 
1.5%
의 2065
 
1.4%
개 1886
 
1.2%
기 1822
 
1.2%
Other values (908) 126064
83.4%
None
ValueCountFrequency (%)
· 1016
84.6%
」 52
 
4.3%
「 51
 
4.2%
』 22
 
1.8%
『 22
 
1.8%
＇ 10
 
0.8%
（ 8
 
0.7%
） 8
 
0.7%
㈜ 6
 
0.5%
［ 2
 
0.2%
Other values (3) 4
 
0.3%
Punctuation
ValueCountFrequency (%)
’ 629
71.5%
‘ 226
 
25.7%
“ 11
 
1.2%
” 10
 
1.1%
… 4
 
0.5%
Arrows
ValueCountFrequency (%)
↔ 38
77.6%
→ 11
 
22.4%
Compat Jamo
ValueCountFrequency (%)
ㆍ 33
100.0%
Math Operators
ValueCountFrequency (%)
∼ 18
100.0%
CJK
ValueCountFrequency (%)
故 8
 
2.7%
鮮 5
 
1.7%
丸 5
 
1.7%
美 4
 
1.4%
正 4
 
1.4%
朝 4
 
1.4%
府 4
 
1.4%
民 4
 
1.4%
會 4
 
1.4%
醫 3
 
1.0%
Other values (200) 251
84.8%
CJK Compat
ValueCountFrequency (%)
㎞ 6
54.5%
㎝ 3
27.3%
㎾ 1
 
9.1%
㎿ 1
 
9.1%
CJK Compat Ideographs
ValueCountFrequency (%)
金 2
28.6%
羅 2
28.6%
癩 1
14.3%
禮 1
14.3%
李 1
14.3%
Misc Symbols
ValueCountFrequency (%)
☆ 1
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
50.0%
Ⅰ 1
50.0%

기사글부제목
Text

MISSING 

Distinct1153
Distinct (%)95.2%
Missing8789
Missing (%)87.9%
Memory size156.2 KiB
2023-12-12T14:04:06.881338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length187
Median length113
Mean length24.398018
Min length1

Characters and Unicode

Total characters29546
Distinct characters747
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1136 ?
Unique (%)93.8%

Sample

1st row남북관계의 긴장이 완화되면서 백운찬 관세청장이 도라산사무소를 방문했다. 백 청장은 4일 민통선 남방한계선 700m, 북한 개성까지는 12km에 위치한 서울세관 도라산 사무소를 방문해 업무 현황을 보고 받고, 도라산 사무소 직원들을 격려하는 시간을 가졌다.
2nd row박창명 병무청장이 인사말을 하고 있다.
3rd row해상예보와 특보에 활용, 신안군 앞바다 해양기상부이 설치
4th row청년창업 한마당 투어(호서대)
5th row강원도 고성 산불
ValueCountFrequency (%)
총리 242
 
3.6%
정 150
 
2.2%
방문 76
 
1.1%
및 76
 
1.1%
2013년 67
 
1.0%
정홍원 60
 
0.9%
주재 58
 
0.9%
국토교통부 52
 
0.8%
대통령 49
 
0.7%
45
 
0.7%
Other values (3603) 5910
87.1%
2023-12-12T14:04:07.533446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5683
 
19.2%
정 469
 
1.6%
회 448
 
1.5%
장 404
 
1.4%
국 395
 
1.3%
기 387
 
1.3%
, 386
 
1.3%
리 361
 
1.2%
대 347
 
1.2%
의 341
 
1.2%
Other values (737) 20325
68.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 21066
71.3%
Space Separator 5683
 
19.2%
Decimal Number 1221
 
4.1%
Other Punctuation 763
 
2.6%
Uppercase Letter 331
 
1.1%
Lowercase Letter 150
 
0.5%
Close Punctuation 89
 
0.3%
Open Punctuation 87
 
0.3%
Dash Punctuation 64
 
0.2%
Initial Punctuation 40
 
0.1%
Other values (2) 52
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
정 469
 
2.2%
회 448
 
2.1%
장 404
 
1.9%
국 395
 
1.9%
기 387
 
1.8%
리 361
 
1.7%
대 347
 
1.6%
의 341
 
1.6%
원 303
 
1.4%
사 292
 
1.4%
Other values (645) 17319
82.2%
Uppercase Letter
ValueCountFrequency (%)
A 37
11.2%
E 32
 
9.7%
O 30
 
9.1%
S 25
 
7.6%
C 24
 
7.3%
I 23
 
6.9%
T 19
 
5.7%
U 17
 
5.1%
G 16
 
4.8%
M 16
 
4.8%
Other values (16) 92
27.8%
Lowercase Letter
ValueCountFrequency (%)
e 16
 
10.7%
n 13
 
8.7%
r 13
 
8.7%
o 12
 
8.0%
i 12
 
8.0%
m 11
 
7.3%
a 10
 
6.7%
s 9
 
6.0%
t 7
 
4.7%
l 7
 
4.7%
Other values (13) 40
26.7%
Other Punctuation
ValueCountFrequency (%)
, 386
50.6%
. 164
21.5%
' 58
 
7.6%
· 52
 
6.8%
… 34
 
4.5%
! 20
 
2.6%
" 14
 
1.8%
＇ 10
 
1.3%
/ 9
 
1.2%
？ 8
 
1.0%
Other values (4) 8
 
1.0%
Decimal Number
ValueCountFrequency (%)
1 340
27.8%
2 232
19.0%
0 211
17.3%
3 172
14.1%
5 51
 
4.2%
4 48
 
3.9%
9 45
 
3.7%
6 42
 
3.4%
7 40
 
3.3%
8 40
 
3.3%
Math Symbol
ValueCountFrequency (%)
~ 7
58.3%
+ 2
 
16.7%
∼ 1
 
8.3%
< 1
 
8.3%
> 1
 
8.3%
Close Punctuation
ValueCountFrequency (%)
) 72
80.9%
） 7
 
7.9%
」 7
 
7.9%
』 3
 
3.4%
Open Punctuation
ValueCountFrequency (%)
( 71
81.6%
（ 7
 
8.0%
「 7
 
8.0%
『 2
 
2.3%
Initial Punctuation
ValueCountFrequency (%)
‘ 27
67.5%
“ 13
32.5%
Final Punctuation
ValueCountFrequency (%)
’ 27
67.5%
” 13
32.5%
Space Separator
ValueCountFrequency (%)
5683
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 64
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 21050
71.2%
Common 7999
 
27.1%
Latin 481
 
1.6%
Han 16
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
정 469
 
2.2%
회 448
 
2.1%
장 404
 
1.9%
국 395
 
1.9%
기 387
 
1.8%
리 361
 
1.7%
대 347
 
1.6%
의 341
 
1.6%
원 303
 
1.4%
사 292
 
1.4%
Other values (632) 17303
82.2%
Latin
ValueCountFrequency (%)
A 37
 
7.7%
E 32
 
6.7%
O 30
 
6.2%
S 25
 
5.2%
C 24
 
5.0%
I 23
 
4.8%
T 19
 
4.0%
U 17
 
3.5%
G 16
 
3.3%
M 16
 
3.3%
Other values (39) 242
50.3%
Common
ValueCountFrequency (%)
5683
71.0%
, 386
 
4.8%
1 340
 
4.3%
2 232
 
2.9%
0 211
 
2.6%
3 172
 
2.2%
. 164
 
2.1%
) 72
 
0.9%
( 71
 
0.9%
- 64
 
0.8%
Other values (33) 604
 
7.6%
Han
ValueCountFrequency (%)
故 3
18.8%
美 2
12.5%
無 1
 
6.2%
中 1
 
6.2%
企 1
 
6.2%
展 1
 
6.2%
日 1
 
6.2%
山 1
 
6.2%
茶 1
 
6.2%
韓 1
 
6.2%
Other values (3) 3
18.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 21045
71.2%
ASCII 8262
 
28.0%
Punctuation 114
 
0.4%
None 103
 
0.3%
CJK 16
 
0.1%
Compat Jamo 5
 
< 0.1%
Math Operators 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5683
68.8%
, 386
 
4.7%
1 340
 
4.1%
2 232
 
2.8%
0 211
 
2.6%
3 172
 
2.1%
. 164
 
2.0%
) 72
 
0.9%
( 71
 
0.9%
- 64
 
0.8%
Other values (67) 867
 
10.5%
Hangul
ValueCountFrequency (%)
정 469
 
2.2%
회 448
 
2.1%
장 404
 
1.9%
국 395
 
1.9%
기 387
 
1.8%
리 361
 
1.7%
대 347
 
1.6%
의 341
 
1.6%
원 303
 
1.4%
사 292
 
1.4%
Other values (631) 17298
82.2%
None
ValueCountFrequency (%)
· 52
50.5%
＇ 10
 
9.7%
？ 8
 
7.8%
） 7
 
6.8%
（ 7
 
6.8%
」 7
 
6.8%
「 7
 
6.8%
』 3
 
2.9%
『 2
 
1.9%
Punctuation
ValueCountFrequency (%)
… 34
29.8%
‘ 27
23.7%
’ 27
23.7%
” 13
 
11.4%
“ 13
 
11.4%
Compat Jamo
ValueCountFrequency (%)
ㆍ 5
100.0%
CJK
ValueCountFrequency (%)
故 3
18.8%
美 2
12.5%
無 1
 
6.2%
中 1
 
6.2%
企 1
 
6.2%
展 1
 
6.2%
日 1
 
6.2%
山 1
 
6.2%
茶 1
 
6.2%
韓 1
 
6.2%
Other values (3) 3
18.8%
Math Operators
ValueCountFrequency (%)
∼ 1
100.0%

기사글내용
Text

MISSING 

Distinct2535
Distinct (%)99.7%
Missing7458
Missing (%)74.6%
Memory size156.2 KiB
2023-12-12T14:04:08.019563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1024
Median length726.5
Mean length445.20889
Min length1

Characters and Unicode

Total characters1131721
Distinct characters1627
Distinct categories17 ?
Distinct scripts4 ?
Distinct blocks13 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2530 ?
Unique (%)99.5%

Sample

1st row김황식 국무총리가 17일 오전 서울 용산구 효창동 백범기념관에서 열린 제72회 순국선열의 날 기념식에서 기념사를 하고 있다.김황식 국무총리가 17일 오전 서울 용산구 효창동 백범기념관에서 열린 제72회 순국선열의 날 기념식에서 기념사를 하고 있다.김황식 국무총리가 17일 오전 서울 용산구 효창동 백범기념관에서 열린 제72회 순국선열의 날 기념식에서 기념사를 하고 있다.김황식 국무총리가 17일 오전 서울 용산구 효창동 백범기념관에서 열린 제72회 순국선열의 날 기념식에서 기념사를 하고 있다.김황식 국무총리가 17일 오전 서울 용산구 효창동 백범기념관에서 열린 제72회 순국선열의 날 기념식에 참석하였다.김황식 국무총리가 17일 오전 서울 용산구 효창동 백범기념관에서 열린 제72회 순국선열의 날 기념식에 참석하였다.
2nd row이명박 대통령이 9일(현지시간) 도하 카타르 왕궁에서 셰이크 하마드 카타르 국왕과 한-카타르 정상회담을 열고 있다. 이명박 대통령이 9일(현지시간) 도하 카타르 왕궁에서 셰이크 하마드 카타르 국왕과 한-카타르 정상회담을 열고 있다. 이명박 대통령이 9일(현지시간) 도하 카타르 왕궁에서 셰이크 하마드 카타르 국왕과 한-카타르 정상회담을 열고 있다.
3rd row지난 6월16일 오전 서울 중구 국립극장 문화광장에서 열린 431회 거북이마라톤 '6월은 호국보훈의 달 국가보훈처와 함께하는 남산 걷기대회'에서 최완근 국가보훈처 차장 2013 미스코리아등을 비롯한 참석자들이 출발전 화이팅을 외치고 있다. 최완근 국가보훈처 차장이 지난 6월 16일 오전 서울 중구 국립극장 문화광장에서 열린 431회 거북이마라톤 '6월은 호국보훈의 달 국가보훈처와 함께하는 남산 걷기대회'에서 출발을 알리는 징을 치고 있다. 지난 6월 16일 오전 서울 중구 남산 일대에서 열린 431회 거북이마라톤 '6월은 호국보훈의 달 국가보훈처와 함께하는 남산 걷기대회'에서 참가자들이 남산길을 오르고 있다. 최완근 국가보훈처 차장이 지난 6월 16일 오전 서울 중구 남산 일대에서 열린 431회 거북이마라톤 '6월은 호국보훈의 달 국가보훈처와 함께하는 남산 걷기대회'에서 백범광장에 설치된 태극기 모형에 스티커를 붙이고 있다. 지난 6월 16일 오전 서울 중구 남산 일대에서 열린 431회 거북이마라톤 '6월은 호국보훈의 달 국가보훈처와 함께하는 남산 걷기대회'에서 참가자들이 백범광장에 설치된 태극기 모형에 스티커를 붙이고 있다. 2013년 미스코리아들이 16일 오전 서울 중구 남산 일대에서 열린 431회 거북이마라톤 '6월은 호국보훈의 달 국가보훈처와 함께하는 남산 걷기대회'에서 백범광장에 설치된 태극기 모형에 스티커를 붙이고 있다.
4th row이일수 기상청장과 국회 환경노동위원회 주영순 의원은 전남중부서해앞바다의 해상 예·특보에 활용하기 위하여 21일 전라남도 신안군 앞바다에 원반형 해양기상부이 1대를 설치하였다. 해양기상부이는 태풍 폭풍 등 위험기상 발생 시 관측이 어려운 환경에서도 관측이 가능해 기상분석과 예보에 매우 유용한 정보를 생산하는 첨단 해양기상관측장비이다.풍랑특보는 선박의 입·출항을 통제하는 판단 기준. 풍랑특보가 발표되면 선박 운항이 제한되기 때문에 어업 등 생업에 지장을 준다는 민원으로 지난 2012년 국정감사에서 풍랑특보 발표기준 완화 필요성이 제기되었다. 이에 기상청은 1004개의 섬으로 이루어진 신안군을 중심으로 유관기관 도서지역 주민들과 간담회를 개최하는 등 풍랑특보의 탄력적인 운영을 위한 대책을 강구해 왔다. 그 노력의 일환으로 주영순 의원실 신안군청 등과 협력하여 신안군 앞바다에 해양기상부이를 설치하게 되었다.이일수 기상청장과 국회 환경노동위원회 주영순 의원은 전남중부서해앞바다의 해상 예·특보에 활용하기 위하여 21일 전라남도 신안군 앞바다에 원반형 해양기상부이 1대를 설치하였다. 해양기상부이는 태풍 폭풍 등 위험기상 발생 시 관측이 어려운 환경에서도 관측이 가능해 기상분석과 예보에 매우 유용한 정보를 생산하는 첨단 해양기상관측장비이다.풍랑특보는 선박의 입·출항을 통제하는 판단 기준. 풍랑특보가 발표되면 선박 운항이 제한되기 때문에 어업 등 생업에 지장을 준다는 민원으로 지난 2012년 국정감사에서 풍랑특보 발표기준 완화 필요성이 제기되었다. 이에 기상청은 1004개의 섬으로 이루어진 신안군을 중심으로 유관기관 도서지역 주민들과 간담회를 개최하는 등 풍랑특보의 탄력적인 운영을 위한 대책을 강구해 왔다. 그 노력의 일환으로 주영순 의원실 신안군청 등과 협력하여 신안군 앞바다에 해양기상부이를 설치하게 되었다.이일수 기상청장과 국회 환경노동위원회 주영순 의원은 전남중부서해앞바다의 해상 예·특보에 활용하기 위하여 21일 전라남도 신안군 앞바다에 원반형 해양기상부이 1대를 설치하였다. 해양기상부이는 태풍 폭풍 등 위험기상
5th row송종호 중소기업청장과 남민우 벤처협회장이민화 카이스트 교수 등 벤처 1세대와 최근 창업한 벤처 2세대가 함께 25일 충남 아산 호서대학교제2공학관에서 학생들과 소통하는 청년창업 한마당 투어를 가졌다.
ValueCountFrequency (%)
열린 5054
 
2.1%
하고 3439
 
1.5%
국무총리가 3252
 
1.4%
대통령이 2995
 
1.3%
서울 2362
 
1.0%
있다 1816
 
0.8%
오후 1807
 
0.8%
있다.박근혜 1752
 
0.7%
오전 1703
 
0.7%
있다.김황식 1373
 
0.6%
Other values (50543) 209597
89.1%
2023-12-12T14:04:08.626725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
233483
 
20.6%
에 20604
 
1.8%
서 18391
 
1.6%
. 18189
 
1.6%
이 17243
 
1.5%
다 16618
 
1.5%
고 15192
 
1.3%
대 13491
 
1.2%
하 13389
 
1.2%
을 13383
 
1.2%
Other values (1617) 751738
66.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 806292
71.2%
Space Separator 233484
 
20.6%
Decimal Number 50150
 
4.4%
Other Punctuation 22402
 
2.0%
Uppercase Letter 5890
 
0.5%
Lowercase Letter 3795
 
0.3%
Close Punctuation 2410
 
0.2%
Open Punctuation 2398
 
0.2%
Control 1935
 
0.2%
Dash Punctuation 884
 
0.1%
Other values (7) 2081
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
에 20604
 
2.6%
서 18391
 
2.3%
이 17243
 
2.1%
다 16618
 
2.1%
고 15192
 
1.9%
대 13491
 
1.7%
하 13389
 
1.7%
을 13383
 
1.7%
일 11880
 
1.5%
국 11682
 
1.4%
Other values (1484) 654419
81.2%
Uppercase Letter
ValueCountFrequency (%)
C 554
 
9.4%
E 508
 
8.6%
A 438
 
7.4%
U 422
 
7.2%
O 359
 
6.1%
S 356
 
6.0%
I 342
 
5.8%
T 318
 
5.4%
K 311
 
5.3%
N 277
 
4.7%
Other values (16) 2005
34.0%
Lowercase Letter
ValueCountFrequency (%)
a 411
 
10.8%
e 343
 
9.0%
o 338
 
8.9%
r 306
 
8.1%
n 302
 
8.0%
t 241
 
6.4%
i 231
 
6.1%
m 227
 
6.0%
s 174
 
4.6%
h 171
 
4.5%
Other values (16) 1051
27.7%
Other Punctuation
ValueCountFrequency (%)
. 18189
81.2%
' 2415
 
10.8%
· 513
 
2.3%
? 283
 
1.3%
: 253
 
1.1%
! 248
 
1.1%
/ 132
 
0.6%
" 132
 
0.6%
？ 71
 
0.3%
% 56
 
0.2%
Other values (8) 110
 
0.5%
Other Symbol
ValueCountFrequency (%)
○ 12
18.8%
▶ 11
17.2%
㎞ 10
15.6%
▲ 8
12.5%
♬ 7
10.9%
㈜ 6
9.4%
㎡ 4
 
6.2%
㏊ 2
 
3.1%
㎢ 1
 
1.6%
㎜ 1
 
1.6%
Other values (2) 2
 
3.1%
Math Symbol
ValueCountFrequency (%)
~ 279
82.3%
+ 33
 
9.7%
→ 8
 
2.4%
= 4
 
1.2%
＜ 4
 
1.2%
＞ 4
 
1.2%
> 2
 
0.6%
| 2
 
0.6%
≪ 1
 
0.3%
≫ 1
 
0.3%
Decimal Number
ValueCountFrequency (%)
1 12442
24.8%
2 9384
18.7%
0 6171
12.3%
9 4726
 
9.4%
3 4021
 
8.0%
5 3173
 
6.3%
6 2828
 
5.6%
4 2529
 
5.0%
8 2519
 
5.0%
7 2357
 
4.7%
Close Punctuation
ValueCountFrequency (%)
) 1883
78.1%
） 447
 
18.5%
」 27
 
1.1%
] 22
 
0.9%
』 18
 
0.7%
〉 12
 
0.5%
》 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 1872
78.1%
（ 447
 
18.6%
「 27
 
1.1%
[ 22
 
0.9%
『 17
 
0.7%
〈 12
 
0.5%
《 1
 
< 0.1%
Other Number
ValueCountFrequency (%)
① 1
25.0%
② 1
25.0%
③ 1
25.0%
④ 1
25.0%
Modifier Symbol
ValueCountFrequency (%)
^ 87
80.6%
` 18
 
16.7%
´ 3
 
2.8%
Space Separator
ValueCountFrequency (%)
233483
> 99.9%
　 1
 
< 0.1%
Initial Punctuation
ValueCountFrequency (%)
‘ 711
88.0%
“ 97
 
12.0%
Final Punctuation
ValueCountFrequency (%)
’ 668
88.6%
” 86
 
11.4%
Control
ValueCountFrequency (%)
1935
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 884
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 805768
71.2%
Common 315738
 
27.9%
Latin 9685
 
0.9%
Han 530
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
에 20604
 
2.6%
서 18391
 
2.3%
이 17243
 
2.1%
다 16618
 
2.1%
고 15192
 
1.9%
대 13491
 
1.7%
하 13389
 
1.7%
을 13383
 
1.7%
일 11880
 
1.5%
국 11682
 
1.4%
Other values (1305) 653895
81.2%
Han
ValueCountFrequency (%)
故 65
 
12.3%
平 27
 
5.1%
近 26
 
4.9%
習 26
 
4.9%
軍 13
 
2.5%
美 12
 
2.3%
祭 12
 
2.3%
英 12
 
2.3%
崇 11
 
2.1%
陵 11
 
2.1%
Other values (170) 315
59.4%
Common
ValueCountFrequency (%)
233483
73.9%
. 18189
 
5.8%
1 12442
 
3.9%
2 9384
 
3.0%
0 6171
 
2.0%
9 4726
 
1.5%
3 4021
 
1.3%
5 3173
 
1.0%
6 2828
 
0.9%
4 2529
 
0.8%
Other values (70) 18792
 
6.0%
Latin
ValueCountFrequency (%)
C 554
 
5.7%
E 508
 
5.2%
A 438
 
4.5%
U 422
 
4.4%
a 411
 
4.2%
O 359
 
3.7%
S 356
 
3.7%
e 343
 
3.5%
I 342
 
3.5%
o 338
 
3.5%
Other values (42) 5614
58.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 805512
71.2%
ASCII 322170
 
28.5%
None 1616
 
0.1%
Punctuation 1571
 
0.1%
CJK 524
 
< 0.1%
Compat Jamo 250
 
< 0.1%
Geometric Shapes 32
 
< 0.1%
CJK Compat 19
 
< 0.1%
Arrows 8
 
< 0.1%
Misc Symbols 7
 
< 0.1%
Other values (3) 12
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
233483
72.5%
. 18189
 
5.6%
1 12442
 
3.9%
2 9384
 
2.9%
0 6171
 
1.9%
9 4726
 
1.5%
3 4021
 
1.2%
5 3173
 
1.0%
6 2828
 
0.9%
4 2529
 
0.8%
Other values (80) 25224
 
7.8%
Hangul
ValueCountFrequency (%)
에 20604
 
2.6%
서 18391
 
2.3%
이 17243
 
2.1%
다 16618
 
2.1%
고 15192
 
1.9%
대 13491
 
1.7%
하 13389
 
1.7%
을 13383
 
1.7%
일 11880
 
1.5%
국 11682
 
1.5%
Other values (1297) 653639
81.1%
Punctuation
ValueCountFrequency (%)
‘ 711
45.3%
’ 668
42.5%
“ 97
 
6.2%
” 86
 
5.5%
″ 6
 
0.4%
… 3
 
0.2%
None
ValueCountFrequency (%)
· 513
31.7%
） 447
27.7%
（ 447
27.7%
？ 71
 
4.4%
「 27
 
1.7%
」 27
 
1.7%
』 18
 
1.1%
『 17
 
1.1%
〉 12
 
0.7%
〈 12
 
0.7%
Other values (9) 25
 
1.5%
Compat Jamo
ValueCountFrequency (%)
ㆍ 197
78.8%
ㅠ 19
 
7.6%
ㅎ 18
 
7.2%
ㅋ 11
 
4.4%
ㅇ 2
 
0.8%
ㅁ 2
 
0.8%
ㅣ 1
 
0.4%
CJK
ValueCountFrequency (%)
故 65
 
12.4%
平 27
 
5.2%
近 26
 
5.0%
習 26
 
5.0%
軍 13
 
2.5%
美 12
 
2.3%
祭 12
 
2.3%
英 12
 
2.3%
崇 11
 
2.1%
陵 11
 
2.1%
Other values (164) 309
59.0%
Geometric Shapes
ValueCountFrequency (%)
○ 12
37.5%
▶ 11
34.4%
▲ 8
25.0%
■ 1
 
3.1%
CJK Compat
ValueCountFrequency (%)
㎞ 10
52.6%
㎡ 4
 
21.1%
㏊ 2
 
10.5%
㎢ 1
 
5.3%
㎜ 1
 
5.3%
㎘ 1
 
5.3%
Arrows
ValueCountFrequency (%)
→ 8
100.0%
Misc Symbols
ValueCountFrequency (%)
♬ 7
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
樂 1
16.7%
盧 1
16.7%
力 1
16.7%
女 1
16.7%
漏 1
16.7%
樓 1
16.7%
Enclosed Alphanum
ValueCountFrequency (%)
① 1
25.0%
② 1
25.0%
③ 1
25.0%
④ 1
25.0%
Math Operators
ValueCountFrequency (%)
≪ 1
50.0%
≫ 1
50.0%

기사글태그정보
Text

MISSING 

Distinct1843
Distinct (%)94.9%
Missing8057
Missing (%)80.6%
Memory size156.2 KiB
2023-12-12T14:04:09.013677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length94
Median length53
Mean length18.193515
Min length1

Characters and Unicode

Total characters35350
Distinct characters751
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1798 ?
Unique (%)92.5%

Sample

1st row강원도 고성, 강원도, 산불
2nd row맹호부대, 파월, 베트남 전쟁, 수도기계화보병사단, 역사 속의 오늘
3rd row전통시장
4th row한ㆍ중 확대 정상 회담, 박근혜 대통령, 중국 방문
5th row병무, 홍보, 대변인, 수상, 커무니케이션, 우수기관, 김영후, 박경규병무청 차장
ValueCountFrequency (%)
대통령 237
 
3.4%
조달청 161
 
2.3%
조달청장 55
 
0.8%
박근혜 53
 
0.8%
총리 52
 
0.8%
김황식 50
 
0.7%
정홍원 49
 
0.7%
국무총리 45
 
0.7%
이명박 39
 
0.6%
이돈구 37
 
0.5%
Other values (3645) 6125
88.7%
2023-12-12T14:04:09.627048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5067
 
14.3%
, 3276
 
9.3%
대 670
 
1.9%
회 549
 
1.6%
장 528
 
1.5%
국 469
 
1.3%
청 434
 
1.2%
조 419
 
1.2%
원 396
 
1.1%
정 369
 
1.0%
Other values (741) 23173
65.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 25473
72.1%
Space Separator 5067
 
14.3%
Other Punctuation 3376
 
9.6%
Decimal Number 703
 
2.0%
Uppercase Letter 523
 
1.5%
Lowercase Letter 157
 
0.4%
Dash Punctuation 28
 
0.1%
Close Punctuation 8
 
< 0.1%
Open Punctuation 8
 
< 0.1%
Math Symbol 4
 
< 0.1%
Other values (3) 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 670
 
2.6%
회 549
 
2.2%
장 528
 
2.1%
국 469
 
1.8%
청 434
 
1.7%
조 419
 
1.6%
원 396
 
1.6%
정 369
 
1.4%
통 367
 
1.4%
기 362
 
1.4%
Other values (664) 20910
82.1%
Uppercase Letter
ValueCountFrequency (%)
A 51
 
9.8%
E 45
 
8.6%
C 43
 
8.2%
S 37
 
7.1%
O 35
 
6.7%
T 30
 
5.7%
U 29
 
5.5%
N 28
 
5.4%
M 27
 
5.2%
I 27
 
5.2%
Other values (15) 171
32.7%
Lowercase Letter
ValueCountFrequency (%)
r 23
14.6%
n 16
10.2%
t 15
9.6%
a 15
9.6%
o 13
 
8.3%
e 12
 
7.6%
s 11
 
7.0%
i 7
 
4.5%
u 7
 
4.5%
y 5
 
3.2%
Other values (12) 33
21.0%
Decimal Number
ValueCountFrequency (%)
1 160
22.8%
0 149
21.2%
2 140
19.9%
5 56
 
8.0%
4 53
 
7.5%
3 48
 
6.8%
6 34
 
4.8%
9 29
 
4.1%
8 21
 
3.0%
7 13
 
1.8%
Other Punctuation
ValueCountFrequency (%)
, 3276
97.0%
. 43
 
1.3%
· 21
 
0.6%
; 19
 
0.6%
/ 11
 
0.3%
' 5
 
0.1%
& 1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 6
75.0%
） 1
 
12.5%
」 1
 
12.5%
Open Punctuation
ValueCountFrequency (%)
( 6
75.0%
（ 1
 
12.5%
「 1
 
12.5%
Math Symbol
ValueCountFrequency (%)
+ 3
75.0%
~ 1
 
25.0%
Space Separator
ValueCountFrequency (%)
5067
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 28
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 1
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 25466
72.0%
Common 9197
 
26.0%
Latin 680
 
1.9%
Han 7
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 670
 
2.6%
회 549
 
2.2%
장 528
 
2.1%
국 469
 
1.8%
청 434
 
1.7%
조 419
 
1.6%
원 396
 
1.6%
정 369
 
1.4%
통 367
 
1.4%
기 362
 
1.4%
Other values (662) 20903
82.1%
Latin
ValueCountFrequency (%)
A 51
 
7.5%
E 45
 
6.6%
C 43
 
6.3%
S 37
 
5.4%
O 35
 
5.1%
T 30
 
4.4%
U 29
 
4.3%
N 28
 
4.1%
M 27
 
4.0%
I 27
 
4.0%
Other values (37) 328
48.2%
Common
ValueCountFrequency (%)
5067
55.1%
, 3276
35.6%
1 160
 
1.7%
0 149
 
1.6%
2 140
 
1.5%
5 56
 
0.6%
4 53
 
0.6%
3 48
 
0.5%
. 43
 
0.5%
6 34
 
0.4%
Other values (20) 171
 
1.9%
Han
ValueCountFrequency (%)
故 5
71.4%
美 2
 
28.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 25463
72.0%
ASCII 9850
 
27.9%
None 25
 
0.1%
CJK 7
 
< 0.1%
Compat Jamo 3
 
< 0.1%
Punctuation 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5067
51.4%
, 3276
33.3%
1 160
 
1.6%
0 149
 
1.5%
2 140
 
1.4%
5 56
 
0.6%
4 53
 
0.5%
A 51
 
0.5%
3 48
 
0.5%
E 45
 
0.5%
Other values (60) 805
 
8.2%
Hangul
ValueCountFrequency (%)
대 670
 
2.6%
회 549
 
2.2%
장 528
 
2.1%
국 469
 
1.8%
청 434
 
1.7%
조 419
 
1.6%
원 396
 
1.6%
정 369
 
1.4%
통 367
 
1.4%
기 362
 
1.4%
Other values (661) 20900
82.1%
None
ValueCountFrequency (%)
· 21
84.0%
（ 1
 
4.0%
） 1
 
4.0%
「 1
 
4.0%
」 1
 
4.0%
CJK
ValueCountFrequency (%)
故 5
71.4%
美 2
 
28.6%
Compat Jamo
ValueCountFrequency (%)
ㆍ 3
100.0%
Punctuation
ValueCountFrequency (%)
‘ 1
50.0%
’ 1
50.0%

기자기수아이디
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9912 
001
 
79
QT_0
 
9

Length

Max length4
Median length4
Mean length3.9921
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9912
99.1%
001 79
 
0.8%
QT_0 9
 
0.1%

Length

2023-12-12T14:04:10.088383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:04:10.247062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9912
99.1%
001 79
 
0.8%
qt_0 9
 
0.1%

사진기제작자코드
Categorical

IMBALANCE 

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
6761 
NIKON
1133 
CANON
1040 
ETC
983 
SAM
 
71
Other values (3)
 
12

Length

Max length6
Median length4
Mean length4.1123
Min length3

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 6761
67.6%
NIKON 1133
 
11.3%
CANON 1040
 
10.4%
ETC 983
 
9.8%
SAM 71
 
0.7%
SONY 9
 
0.1%
CASIO 2
 
< 0.1%
PENTAX 1
 
< 0.1%

Length

2023-12-12T14:04:10.409969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:04:10.567735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 6761
67.6%
nikon 1133
 
11.3%
canon 1040
 
10.4%
etc 983
 
9.8%
sam 71
 
0.7%
sony 9
 
0.1%
casio 2
 
< 0.1%
pentax 1
 
< 0.1%

사진기기기종류명
Text

MISSING 

Distinct137
Distinct (%)4.6%
Missing7013
Missing (%)70.1%
Memory size156.2 KiB
2023-12-12T14:04:10.840150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length21
Mean length7.9882826
Min length1

Characters and Unicode

Total characters23861
Distinct characters109
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

Unique54 ?
Unique (%)1.8%

Sample

1st rowD3
2nd row입력
3rd row일반
4th rowCanon EOS 6D
5th rowD3
ValueCountFrequency (%)
mark 547
 
9.5%
canon 459
 
8.0%
d3 453
 
7.9%
nikon 409
 
7.1%
eos-1d 390
 
6.8%
일반 382
 
6.7%
iv 313
 
5.5%
d3x 270
 
4.7%
넣어주세요 269
 
4.7%
d3s 179
 
3.1%
Other values (98) 2068
36.0%
2023-12-12T14:04:11.252338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2881
 
12.1%
D 1912
 
8.0%
a 1196
 
5.0%
I 1114
 
4.7%
O 1100
 
4.6%
n 1040
 
4.4%
N 999
 
4.2%
3 998
 
4.2%
S 908
 
3.8%
1 775
 
3.2%
Other values (99) 10938
45.8%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 9024
37.8%
Lowercase Letter 4840
20.3%
Other Letter 3370
 
14.1%
Space Separator 2881
 
12.1%
Decimal Number 2648
 
11.1%
Dash Punctuation 641
 
2.7%
Other Punctuation 273
 
1.1%
Letter Number 174
 
0.7%
Open Punctuation 5
 
< 0.1%
Close Punctuation 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
일 384
11.4%
반 382
11.3%
기 363
10.8%
요 270
8.0%
세 270
8.0%
주 270
8.0%
어 269
8.0%
넣 269
8.0%
종 269
8.0%
을 158
 
4.7%
Other values (44) 466
13.8%
Uppercase Letter
ValueCountFrequency (%)
D 1912
21.2%
I 1114
12.3%
O 1100
12.2%
N 999
11.1%
S 908
10.1%
E 686
 
7.6%
M 654
 
7.2%
C 458
 
5.1%
K 411
 
4.6%
X 410
 
4.5%
Other values (11) 372
 
4.1%
Lowercase Letter
ValueCountFrequency (%)
a 1196
24.7%
n 1040
21.5%
k 750
15.5%
r 746
15.4%
o 533
11.0%
c 119
 
2.5%
s 115
 
2.4%
i 101
 
2.1%
m 99
 
2.0%
e 49
 
1.0%
Other values (6) 92
 
1.9%
Decimal Number
ValueCountFrequency (%)
3 998
37.7%
1 775
29.3%
0 417
15.7%
2 178
 
6.7%
5 118
 
4.5%
7 100
 
3.8%
6 31
 
1.2%
4 30
 
1.1%
8 1
 
< 0.1%
Letter Number
ValueCountFrequency (%)
Ⅲ 106
60.9%
Ⅳ 63
36.2%
Ⅱ 5
 
2.9%
Other Punctuation
ValueCountFrequency (%)
! 269
98.5%
, 4
 
1.5%
Space Separator
ValueCountFrequency (%)
2881
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 641
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 14038
58.8%
Common 6453
27.0%
Hangul 3370
 
14.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
일 384
11.4%
반 382
11.3%
기 363
10.8%
요 270
8.0%
세 270
8.0%
주 270
8.0%
어 269
8.0%
넣 269
8.0%
종 269
8.0%
을 158
 
4.7%
Other values (44) 466
13.8%
Latin
ValueCountFrequency (%)
D 1912
13.6%
a 1196
 
8.5%
I 1114
 
7.9%
O 1100
 
7.8%
n 1040
 
7.4%
N 999
 
7.1%
S 908
 
6.5%
k 750
 
5.3%
r 746
 
5.3%
E 686
 
4.9%
Other values (30) 3587
25.6%
Common
ValueCountFrequency (%)
2881
44.6%
3 998
 
15.5%
1 775
 
12.0%
- 641
 
9.9%
0 417
 
6.5%
! 269
 
4.2%
2 178
 
2.8%
5 118
 
1.8%
7 100
 
1.5%
6 31
 
0.5%
Other values (5) 45
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 20317
85.1%
Hangul 3370
 
14.1%
Number Forms 174
 
0.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2881
 
14.2%
D 1912
 
9.4%
a 1196
 
5.9%
I 1114
 
5.5%
O 1100
 
5.4%
n 1040
 
5.1%
N 999
 
4.9%
3 998
 
4.9%
S 908
 
4.5%
1 775
 
3.8%
Other values (42) 7394
36.4%
Hangul
ValueCountFrequency (%)
일 384
11.4%
반 382
11.3%
기 363
10.8%
요 270
8.0%
세 270
8.0%
주 270
8.0%
어 269
8.0%
넣 269
8.0%
종 269
8.0%
을 158
 
4.7%
Other values (44) 466
13.8%
Number Forms
ValueCountFrequency (%)
Ⅲ 106
60.9%
Ⅳ 63
36.2%
Ⅱ 5
 
2.9%

촬영지역명
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)0.6%
Missing6761
Missing (%)67.6%
Infinite0
Infinite (%)0.0%
Mean6.5822785
Minimum1
Maximum18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T14:04:11.435990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q313
95-th percentile18
Maximum18
Range17
Interquartile range (IQR)12

Descriptive statistics

Standard deviation6.9269065
Coefficient of variation (CV)1.0523569
Kurtosis-1.2772282
Mean6.5822785
Median Absolute Deviation (MAD)0
Skewness0.65667668
Sum21320
Variance47.982033
MonotonicityNot monotonic
2023-12-12T14:04:11.602086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
1 1809
 
18.1%
18 554
 
5.5%
9 233
 
2.3%
12 104
 
1.0%
10 73
 
0.7%
15 73
 
0.7%
11 66
 
0.7%
16 65
 
0.7%
14 62
 
0.6%
8 37
 
0.4%
Other values (8) 163
 
1.6%
(Missing) 6761
67.6%
ValueCountFrequency (%)
1 1809
18.1%
2 21
 
0.2%
3 8
 
0.1%
4 19
 
0.2%
5 8
 
0.1%
6 36
 
0.4%
7 3
 
< 0.1%
8 37
 
0.4%
9 233
 
2.3%
10 73
 
0.7%
ValueCountFrequency (%)
18 554
5.5%
17 34
 
0.3%
16 65
 
0.7%
15 73
 
0.7%
14 62
 
0.6%
13 34
 
0.3%
12 104
 
1.0%
11 66
 
0.7%
10 73
 
0.7%
9 233
2.3%

촬영지역상세주소
Text

MISSING 

Distinct1581
Distinct (%)49.9%
Missing6829
Missing (%)68.3%
Memory size156.2 KiB
2023-12-12T14:04:11.958441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length23
Mean length6.6319773
Min length2

Characters and Unicode

Total characters21030
Distinct characters563
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1283 ?
Unique (%)40.5%

Sample

1st row백범기념관
2nd row인천시
3rd row카타르 도하
4th row파주
5th row자양골목시장
ValueCountFrequency (%)
촬영상세지역 285
 
5.9%
청와대 214
 
4.4%
세종로 107
 
2.2%
기타 84
 
1.7%
정부중앙청사 80
 
1.6%
정부서울청사 78
 
1.6%
코엑스 64
 
1.3%
기상청 63
 
1.3%
정부대전청사 58
 
1.2%
미상 51
 
1.0%
Other values (1752) 3774
77.7%
2023-12-12T14:04:12.471987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1799
 
8.6%
청 754
 
3.6%
대 606
 
2.9%
세 509
 
2.4%
상 453
 
2.2%
사 413
 
2.0%
지 405
 
1.9%
부 394
 
1.9%
역 356
 
1.7%
구 337
 
1.6%
Other values (553) 15004
71.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18751
89.2%
Space Separator 1799
 
8.6%
Decimal Number 171
 
0.8%
Uppercase Letter 149
 
0.7%
Lowercase Letter 58
 
0.3%
Other Punctuation 54
 
0.3%
Open Punctuation 17
 
0.1%
Close Punctuation 17
 
0.1%
Dash Punctuation 9
 
< 0.1%
Math Symbol 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
청 754
 
4.0%
대 606
 
3.2%
세 509
 
2.7%
상 453
 
2.4%
사 413
 
2.2%
지 405
 
2.2%
부 394
 
2.1%
역 356
 
1.9%
구 337
 
1.8%
영 334
 
1.8%
Other values (492) 14190
75.7%
Uppercase Letter
ValueCountFrequency (%)
C 21
14.1%
S 14
9.4%
K 13
8.7%
E 13
8.7%
T 13
8.7%
B 11
 
7.4%
A 10
 
6.7%
X 10
 
6.7%
O 9
 
6.0%
M 5
 
3.4%
Other values (12) 30
20.1%
Lowercase Letter
ValueCountFrequency (%)
a 8
13.8%
t 7
12.1%
e 7
12.1%
o 6
10.3%
k 5
8.6%
s 5
8.6%
l 4
6.9%
x 3
 
5.2%
i 3
 
5.2%
c 2
 
3.4%
Other values (7) 8
13.8%
Decimal Number
ValueCountFrequency (%)
1 39
22.8%
3 28
16.4%
2 26
15.2%
4 19
11.1%
8 15
 
8.8%
6 14
 
8.2%
9 10
 
5.8%
0 8
 
4.7%
5 8
 
4.7%
7 4
 
2.3%
Other Punctuation
ValueCountFrequency (%)
, 33
61.1%
. 8
 
14.8%
' 6
 
11.1%
/ 4
 
7.4%
· 2
 
3.7%
! 1
 
1.9%
Math Symbol
ValueCountFrequency (%)
> 4
80.0%
< 1
 
20.0%
Space Separator
ValueCountFrequency (%)
1799
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18751
89.2%
Common 2072
 
9.9%
Latin 207
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
청 754
 
4.0%
대 606
 
3.2%
세 509
 
2.7%
상 453
 
2.4%
사 413
 
2.2%
지 405
 
2.2%
부 394
 
2.1%
역 356
 
1.9%
구 337
 
1.8%
영 334
 
1.8%
Other values (492) 14190
75.7%
Latin
ValueCountFrequency (%)
C 21
 
10.1%
S 14
 
6.8%
K 13
 
6.3%
E 13
 
6.3%
T 13
 
6.3%
B 11
 
5.3%
A 10
 
4.8%
X 10
 
4.8%
O 9
 
4.3%
a 8
 
3.9%
Other values (29) 85
41.1%
Common
ValueCountFrequency (%)
1799
86.8%
1 39
 
1.9%
, 33
 
1.6%
3 28
 
1.4%
2 26
 
1.3%
4 19
 
0.9%
( 17
 
0.8%
) 17
 
0.8%
8 15
 
0.7%
6 14
 
0.7%
Other values (12) 65
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18750
89.2%
ASCII 2277
 
10.8%
None 2
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1799
79.0%
1 39
 
1.7%
, 33
 
1.4%
3 28
 
1.2%
2 26
 
1.1%
C 21
 
0.9%
4 19
 
0.8%
( 17
 
0.7%
) 17
 
0.7%
8 15
 
0.7%
Other values (50) 263
 
11.6%
Hangul
ValueCountFrequency (%)
청 754
 
4.0%
대 606
 
3.2%
세 509
 
2.7%
상 453
 
2.4%
사 413
 
2.2%
지 405
 
2.2%
부 394
 
2.1%
역 356
 
1.9%
구 337
 
1.8%
영 334
 
1.8%
Other values (491) 14189
75.7%
None
ValueCountFrequency (%)
· 2
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

촬영날짜정보
Text

MISSING 

Distinct1310
Distinct (%)40.4%
Missing6761
Missing (%)67.6%
Memory size156.2 KiB
2023-12-12T14:04:12.906330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length10.002161
Min length10

Characters and Unicode

Total characters32397
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique674 ?
Unique (%)20.8%

Sample

1st row2011-11-17
2nd row2012-11-30
3rd row2012-02-09
4th row2013-07-04
5th row2011-12-08
ValueCountFrequency (%)
2013-11-07 20
 
0.6%
2011-12-19 17
 
0.5%
2013-10-08 15
 
0.5%
2013-09-09 14
 
0.4%
2013-09-10 14
 
0.4%
2012-01-19 12
 
0.4%
2011-12-01 12
 
0.4%
2013-08-30 11
 
0.3%
2013-11-08 11
 
0.3%
2013-09-16 10
 
0.3%
Other values (1299) 3103
95.8%
2023-12-12T14:04:13.516782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 6921
21.4%
0 6841
21.1%
- 6478
20.0%
2 5641
17.4%
3 1879
 
5.8%
9 1242
 
3.8%
6 789
 
2.4%
7 695
 
2.1%
5 690
 
2.1%
8 659
 
2.0%
Other values (2) 562
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 25912
80.0%
Dash Punctuation 6478
 
20.0%
Space Separator 7
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 6921
26.7%
0 6841
26.4%
2 5641
21.8%
3 1879
 
7.3%
9 1242
 
4.8%
6 789
 
3.0%
7 695
 
2.7%
5 690
 
2.7%
8 659
 
2.5%
4 555
 
2.1%
Dash Punctuation
ValueCountFrequency (%)
- 6478
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 32397
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 6921
21.4%
0 6841
21.1%
- 6478
20.0%
2 5641
17.4%
3 1879
 
5.8%
9 1242
 
3.8%
6 789
 
2.4%
7 695
 
2.1%
5 690
 
2.1%
8 659
 
2.0%
Other values (2) 562
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 32397
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 6921
21.4%
0 6841
21.1%
- 6478
20.0%
2 5641
17.4%
3 1879
 
5.8%
9 1242
 
3.8%
6 789
 
2.4%
7 695
 
2.1%
5 690
 
2.1%
8 659
 
2.0%
Other values (2) 562
 
1.7%

촬영행위자명
Text

MISSING 

Distinct164
Distinct (%)5.7%
Missing7129
Missing (%)71.3%
Memory size156.2 KiB
2023-12-12T14:04:13.845805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length3
Mean length3.7136886
Min length1

Characters and Unicode

Total characters10662
Distinct characters173
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

Unique60 ?
Unique (%)2.1%

Sample

1st row국무총리실
2nd row대변인실 도진아
3rd row청와대 전속
4th row박원일
5th row최종춘
ValueCountFrequency (%)
국무총리실 462
 
15.5%
박준수 327
 
11.0%
이성규 137
 
4.6%
전소향 134
 
4.5%
통일부 120
 
4.0%
이진우 91
 
3.0%
대변인실 89
 
3.0%
김민영 85
 
2.8%
김성진 84
 
2.8%
김성찬 79
 
2.6%
Other values (148) 1377
46.1%
2023-12-12T14:04:14.389508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
국 609
 
5.7%
이 568
 
5.3%
실 552
 
5.2%
무 484
 
4.5%
리 472
 
4.4%
총 462
 
4.3%
김 448
 
4.2%
박 438
 
4.1%
수 416
 
3.9%
성 335
 
3.1%
Other values (163) 5878
55.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10441
97.9%
Space Separator 191
 
1.8%
Other Punctuation 13
 
0.1%
Decimal Number 7
 
0.1%
Uppercase Letter 4
 
< 0.1%
Dash Punctuation 2
 
< 0.1%
Lowercase Letter 2
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
국 609
 
5.8%
이 568
 
5.4%
실 552
 
5.3%
무 484
 
4.6%
리 472
 
4.5%
총 462
 
4.4%
김 448
 
4.3%
박 438
 
4.2%
수 416
 
4.0%
성 335
 
3.2%
Other values (152) 5657
54.2%
Uppercase Letter
ValueCountFrequency (%)
F 2
50.0%
I 1
25.0%
B 1
25.0%
Other Punctuation
ValueCountFrequency (%)
, 12
92.3%
; 1
 
7.7%
Space Separator
ValueCountFrequency (%)
191
100.0%
Decimal Number
ValueCountFrequency (%)
4 7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10441
97.9%
Common 215
 
2.0%
Latin 6
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
국 609
 
5.8%
이 568
 
5.4%
실 552
 
5.3%
무 484
 
4.6%
리 472
 
4.5%
총 462
 
4.4%
김 448
 
4.3%
박 438
 
4.2%
수 416
 
4.0%
성 335
 
3.2%
Other values (152) 5657
54.2%
Common
ValueCountFrequency (%)
191
88.8%
, 12
 
5.6%
4 7
 
3.3%
- 2
 
0.9%
) 1
 
0.5%
( 1
 
0.5%
; 1
 
0.5%
Latin
ValueCountFrequency (%)
F 2
33.3%
e 2
33.3%
I 1
16.7%
B 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10441
97.9%
ASCII 221
 
2.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
국 609
 
5.8%
이 568
 
5.4%
실 552
 
5.3%
무 484
 
4.6%
리 472
 
4.5%
총 462
 
4.4%
김 448
 
4.3%
박 438
 
4.2%
수 416
 
4.0%
성 335
 
3.2%
Other values (152) 5657
54.2%
ASCII
ValueCountFrequency (%)
191
86.4%
, 12
 
5.4%
4 7
 
3.2%
- 2
 
0.9%
F 2
 
0.9%
e 2
 
0.9%
) 1
 
0.5%
( 1
 
0.5%
; 1
 
0.5%
I 1
 
0.5%

썸네일저장주소
Text

MISSING 

Distinct3728
Distinct (%)> 99.9%
Missing6271
Missing (%)62.7%
Memory size156.2 KiB
2023-12-12T14:04:14.645384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length168
Median length80
Mean length89.573076
Min length80

Characters and Unicode

Total characters334018
Distinct characters256
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3727 ?
Unique (%)99.9%

Sample

1st row/admin2011/upload/photo/2011/11/8377B3CC-FAD1-42C9-B14C-C522FB5E85B7_THUMB_1.jpg
2nd row/admin2011/upload/photo/2012/12/E12C0FC5-6BD7-4AB4-9EAF-43B9E711A761_THUMB_1.jpg
3rd row/admin2011/upload/photo/2012/02/DEF7CC8E-EA4B-44A4-8024-8AB8FCB9F7C1_THUMB_1.jpg
4th row/admin2011/upload/photo/2013/07/11/E942497A-8BAB-4D07-9461-6EC0D8739CAE_THUMB_1.jpg
5th row/admin2011/upload/photo/2011/12/917872D6-968C-4541-8176-0272B1CB332D_THUMB_1.jpg
ValueCountFrequency (%)
사진 11
 
0.3%
시찰 4
 
0.1%
admin2011/upload/photo/2011/12/b18475a8-96bb-4670-8f45-37205924907e_thumb_1.jpg 2
 
0.1%
대한노총 2
 
0.1%
전달 2
 
0.1%
1일 2
 
0.1%
admin2011/upload/photo/2012/05/9e2476de-7cce-4d4d-8d2d-096a758187cd_thumb_1.jpg 1
 
< 0.1%
admin2011/upload/images/2013/07/01/57f5cf7f-3915-4d50-977b-357528fced34.jpg**20130701200528.jpg 1
 
< 0.1%
admin2011/upload/photo/2013/11/05/ebeb01f4-9868-4598-8359-5a6c73b97c71_thumb_1.jpg 1
 
< 0.1%
admin2011/upload/photo/2013/05/909b785d-3569-43ff-bd65-d9bdbd9ebc81_thumb_1.jpg 1
 
< 0.1%
Other values (3832) 3832
99.3%
2023-12-12T14:04:15.034399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 26818
 
8.0%
/ 23189
 
6.9%
0 22447
 
6.7%
2 18377
 
5.5%
- 17072
 
5.1%
4 12813
 
3.8%
a 11593
 
3.5%
p 11420
 
3.4%
3 11145
 
3.3%
d 10139
 
3.0%
Other values (246) 169005
50.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 137879
41.3%
Lowercase Letter 93371
28.0%
Uppercase Letter 47212
 
14.1%
Other Punctuation 32151
 
9.6%
Dash Punctuation 17072
 
5.1%
Connector Punctuation 5687
 
1.7%
Other Letter 487
 
0.1%
Space Separator 130
 
< 0.1%
Close Punctuation 13
 
< 0.1%
Open Punctuation 13
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 37
 
7.6%
진 27
 
5.5%
대 15
 
3.1%
일 12
 
2.5%
회 9
 
1.8%
월 9
 
1.8%
년 9
 
1.8%
전 8
 
1.6%
의 8
 
1.6%
식 6
 
1.2%
Other values (177) 347
71.3%
Lowercase Letter
ValueCountFrequency (%)
a 11593
12.4%
p 11420
12.2%
d 10139
10.9%
o 9312
10.0%
g 5920
 
6.3%
j 4887
 
5.2%
i 4770
 
5.1%
m 4683
 
5.0%
e 3810
 
4.1%
u 3735
 
4.0%
Other values (15) 23102
24.7%
Uppercase Letter
ValueCountFrequency (%)
B 8676
18.4%
A 5938
12.6%
C 5298
11.2%
F 5235
11.1%
D 5216
11.0%
E 5083
10.8%
M 2792
 
5.9%
H 2771
 
5.9%
U 2770
 
5.9%
T 2770
 
5.9%
Other values (12) 663
 
1.4%
Decimal Number
ValueCountFrequency (%)
1 26818
19.5%
0 22447
16.3%
2 18377
13.3%
4 12813
9.3%
3 11145
8.1%
9 9708
 
7.0%
7 9519
 
6.9%
8 9469
 
6.9%
6 9066
 
6.6%
5 8517
 
6.2%
Other Punctuation
ValueCountFrequency (%)
/ 23189
72.1%
. 5157
 
16.0%
* 3794
 
11.8%
; 11
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
] 10
76.9%
) 3
 
23.1%
Open Punctuation
ValueCountFrequency (%)
[ 10
76.9%
( 3
 
23.1%
Dash Punctuation
ValueCountFrequency (%)
- 17072
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 5687
100.0%
Space Separator
ValueCountFrequency (%)
130
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 192948
57.8%
Latin 140583
42.1%
Hangul 487
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 37
 
7.6%
진 27
 
5.5%
대 15
 
3.1%
일 12
 
2.5%
회 9
 
1.8%
월 9
 
1.8%
년 9
 
1.8%
전 8
 
1.6%
의 8
 
1.6%
식 6
 
1.2%
Other values (177) 347
71.3%
Latin
ValueCountFrequency (%)
a 11593
 
8.2%
p 11420
 
8.1%
d 10139
 
7.2%
o 9312
 
6.6%
B 8676
 
6.2%
A 5938
 
4.2%
g 5920
 
4.2%
C 5298
 
3.8%
F 5235
 
3.7%
D 5216
 
3.7%
Other values (37) 61836
44.0%
Common
ValueCountFrequency (%)
1 26818
13.9%
/ 23189
12.0%
0 22447
11.6%
2 18377
9.5%
- 17072
8.8%
4 12813
 
6.6%
3 11145
 
5.8%
9 9708
 
5.0%
7 9519
 
4.9%
8 9469
 
4.9%
Other values (12) 32391
16.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 333531
99.9%
Hangul 487
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 26818
 
8.0%
/ 23189
 
7.0%
0 22447
 
6.7%
2 18377
 
5.5%
- 17072
 
5.1%
4 12813
 
3.8%
a 11593
 
3.5%
p 11420
 
3.4%
3 11145
 
3.3%
d 10139
 
3.0%
Other values (59) 168518
50.5%
Hangul
ValueCountFrequency (%)
사 37
 
7.6%
진 27
 
5.5%
대 15
 
3.1%
일 12
 
2.5%
회 9
 
1.8%
월 9
 
1.8%
년 9
 
1.8%
전 8
 
1.6%
의 8
 
1.6%
식 6
 
1.2%
Other values (177) 347
71.3%

역사일자
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)0.4%
Missing2871
Missing (%)28.7%
Infinite0
Infinite (%)0.0%
Mean14.826904
Minimum1
Maximum31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T14:04:15.198198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q17
median15
Q322
95-th percentile30
Maximum31
Range30
Interquartile range (IQR)15

Descriptive statistics

Standard deviation9.0585637
Coefficient of variation (CV)0.61095449
Kurtosis-1.187611
Mean14.826904
Median Absolute Deviation (MAD)8
Skewness0.10039853
Sum105701
Variance82.057576
MonotonicityNot monotonic
2023-12-12T14:04:15.337548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
1 508
 
5.1%
15 282
 
2.8%
10 269
 
2.7%
20 263
 
2.6%
9 255
 
2.5%
5 254
 
2.5%
3 251
 
2.5%
2 235
 
2.4%
16 233
 
2.3%
12 232
 
2.3%
Other values (21) 4347
43.5%
(Missing) 2871
28.7%
ValueCountFrequency (%)
1 508
5.1%
2 235
2.4%
3 251
2.5%
4 201
 
2.0%
5 254
2.5%
6 225
2.2%
7 230
2.3%
8 225
2.2%
9 255
2.5%
10 269
2.7%
ValueCountFrequency (%)
31 142
1.4%
30 221
2.2%
29 184
1.8%
28 216
2.2%
27 214
2.1%
26 190
1.9%
25 222
2.2%
24 194
1.9%
23 197
2.0%
22 211
2.1%

이력년월
Date

MISSING 

Distinct1382
Distinct (%)19.4%
Missing2871
Missing (%)28.7%
Memory size156.2 KiB
Minimum1864-01-01 00:00:00
Maximum2023-09-01 00:00:00
2023-12-12T14:04:15.460466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:04:15.592314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

대표사진내용
Text

MISSING 

Distinct758
Distinct (%)100.0%
Missing9242
Missing (%)92.4%
Memory size156.2 KiB
2023-12-12T14:04:15.926532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length608
Median length185
Mean length77.294195
Min length2

Characters and Unicode

Total characters58589
Distinct characters890
Distinct categories14 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique758 ?
Unique (%)100.0%

Sample

1st row김황식 국무총리가 17일 오전 서울 용산구 효창동 백범기념관에서 열린 제72회 순국선열의 날 기념식에서 기념사를 하고 있다.
2nd row이명박 대통령이 9일(현지시간) 도하 카타르 왕궁에서 셰이크 하마드 카타르 국왕과 한-카타르 정상회담을 열고 있다.
3rd row지난 6월16일 오전 서울 중구 국립극장 문화광장에서 열린 431회 거북이마라톤 '6월은 호국보훈의 달 국가보훈처와 함께하는 남산 걷기대회'에서 최완근 국가보훈처 차장 2013 미스코리아등을 비롯한 참석자들이 출발전 화이팅을 외치고 있다.
4th row이일수 기상청장과 국회 환경노동위원회 주영순 의원은 전남중부서해앞바다의 해상 예·특보에 활용하기 위하여 21일 전라남도 신안군 앞바다에 원반형 해양기상부이 1대를 설치하였다. 해양기상부이는 태풍 폭풍 등 위험기상 발생 시 관측이 어려운 환경에서도 관측이 가능해 기상분석과 예보에 매우 유용한 정보를 생산하는 첨단 해양기상관측장비이다.풍랑특보는 선박의 입·출항을 통제하는 판단 기준. 풍랑특보가 발표되면 선박 운항이 제한되기 때문에 어업 등 생업에 지장을 준다는 민원으로 지난 2012년 국정감사에서 풍랑특보 발표기준 완화 필요성이 제기되었다. 이에 기상청은 1004개의 섬으로 이루어진 신안군을 중심으로 유관기관 도서지역 주민들과 간담회를 개최하는 등 풍랑특보의 탄력적인 운영을 위한 대책을 강구해 왔다. 그 노력의 일환으로 주영순 의원실 신안군청 등과 협력하여 신안군 앞바다에 해양기상부이를 설치하게 되었다.
5th row김황식 국무총리가 18일 중소기업회관에서 열린 중소기업중앙회 창립50주년 기념리셉션에서 축사를 하고 있다.
ValueCountFrequency (%)
있다 513
 
4.1%
열린 281
 
2.2%
하고 201
 
1.6%
대통령이 199
 
1.6%
국무총리가 154
 
1.2%
박근혜 139
 
1.1%
서울 116
 
0.9%
김황식 111
 
0.9%
오후 101
 
0.8%
오전 101
 
0.8%
Other values (6269) 10699
84.8%
2023-12-12T14:04:16.459976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12001
 
20.5%
에 1052
 
1.8%
서 1027
 
1.8%
이 910
 
1.6%
다 879
 
1.5%
. 843
 
1.4%
고 797
 
1.4%
대 754
 
1.3%
하 745
 
1.3%
을 716
 
1.2%
Other values (880) 38865
66.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 42059
71.8%
Space Separator 12001
 
20.5%
Decimal Number 2129
 
3.6%
Other Punctuation 1112
 
1.9%
Uppercase Letter 404
 
0.7%
Lowercase Letter 331
 
0.6%
Open Punctuation 193
 
0.3%
Close Punctuation 192
 
0.3%
Dash Punctuation 61
 
0.1%
Initial Punctuation 47
 
0.1%
Other values (4) 60
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
에 1052
 
2.5%
서 1027
 
2.4%
이 910
 
2.2%
다 879
 
2.1%
고 797
 
1.9%
대 754
 
1.8%
하 745
 
1.8%
을 716
 
1.7%
기 647
 
1.5%
있 640
 
1.5%
Other values (787) 33892
80.6%
Lowercase Letter
ValueCountFrequency (%)
a 37
11.2%
o 35
 
10.6%
n 32
 
9.7%
e 32
 
9.7%
r 30
 
9.1%
t 23
 
6.9%
s 16
 
4.8%
i 15
 
4.5%
m 12
 
3.6%
d 11
 
3.3%
Other values (14) 88
26.6%
Uppercase Letter
ValueCountFrequency (%)
C 36
 
8.9%
E 36
 
8.9%
O 34
 
8.4%
A 29
 
7.2%
U 28
 
6.9%
S 25
 
6.2%
I 23
 
5.7%
N 21
 
5.2%
T 20
 
5.0%
P 19
 
4.7%
Other values (14) 133
32.9%
Other Punctuation
ValueCountFrequency (%)
. 843
75.8%
' 155
 
13.9%
· 44
 
4.0%
: 28
 
2.5%
" 9
 
0.8%
/ 8
 
0.7%
？ 7
 
0.6%
* 5
 
0.4%
! 5
 
0.4%
? 4
 
0.4%
Other values (2) 4
 
0.4%
Decimal Number
ValueCountFrequency (%)
1 532
25.0%
2 486
22.8%
0 281
13.2%
3 195
 
9.2%
5 119
 
5.6%
6 117
 
5.5%
4 111
 
5.2%
8 97
 
4.6%
9 96
 
4.5%
7 95
 
4.5%
Open Punctuation
ValueCountFrequency (%)
( 152
78.8%
（ 28
 
14.5%
「 7
 
3.6%
『 4
 
2.1%
[ 2
 
1.0%
Close Punctuation
ValueCountFrequency (%)
) 151
78.6%
） 28
 
14.6%
」 7
 
3.6%
』 4
 
2.1%
] 2
 
1.0%
Math Symbol
ValueCountFrequency (%)
~ 8
66.7%
+ 3
 
25.0%
> 1
 
8.3%
Other Symbol
ValueCountFrequency (%)
○ 3
50.0%
㈜ 2
33.3%
▶ 1
 
16.7%
Initial Punctuation
ValueCountFrequency (%)
‘ 44
93.6%
“ 3
 
6.4%
Final Punctuation
ValueCountFrequency (%)
’ 39
97.5%
” 1
 
2.5%
Space Separator
ValueCountFrequency (%)
12001
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 61
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 42039
71.8%
Common 15793
 
27.0%
Latin 735
 
1.3%
Han 22
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
에 1052
 
2.5%
서 1027
 
2.4%
이 910
 
2.2%
다 879
 
2.1%
고 797
 
1.9%
대 754
 
1.8%
하 745
 
1.8%
을 716
 
1.7%
기 647
 
1.5%
있 640
 
1.5%
Other values (768) 33872
80.6%
Latin
ValueCountFrequency (%)
a 37
 
5.0%
C 36
 
4.9%
E 36
 
4.9%
o 35
 
4.8%
O 34
 
4.6%
n 32
 
4.4%
e 32
 
4.4%
r 30
 
4.1%
A 29
 
3.9%
U 28
 
3.8%
Other values (38) 406
55.2%
Common
ValueCountFrequency (%)
12001
76.0%
. 843
 
5.3%
1 532
 
3.4%
2 486
 
3.1%
0 281
 
1.8%
3 195
 
1.2%
' 155
 
1.0%
( 152
 
1.0%
) 151
 
1.0%
5 119
 
0.8%
Other values (34) 878
 
5.6%
Han
ValueCountFrequency (%)
故 3
 
13.6%
北 1
 
4.5%
展 1
 
4.5%
平 1
 
4.5%
京 1
 
4.5%
近 1
 
4.5%
習 1
 
4.5%
田 1
 
4.5%
彦 1
 
4.5%
佳 1
 
4.5%
Other values (10) 10
45.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 42023
71.7%
ASCII 16306
 
27.8%
None 131
 
0.2%
Punctuation 89
 
0.2%
CJK 22
 
< 0.1%
Compat Jamo 14
 
< 0.1%
Geometric Shapes 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
12001
73.6%
. 843
 
5.2%
1 532
 
3.3%
2 486
 
3.0%
0 281
 
1.7%
3 195
 
1.2%
' 155
 
1.0%
( 152
 
0.9%
) 151
 
0.9%
5 119
 
0.7%
Other values (67) 1391
 
8.5%
Hangul
ValueCountFrequency (%)
에 1052
 
2.5%
서 1027
 
2.4%
이 910
 
2.2%
다 879
 
2.1%
고 797
 
1.9%
대 754
 
1.8%
하 745
 
1.8%
을 716
 
1.7%
기 647
 
1.5%
있 640
 
1.5%
Other values (765) 33856
80.6%
None
ValueCountFrequency (%)
· 44
33.6%
（ 28
21.4%
） 28
21.4%
？ 7
 
5.3%
「 7
 
5.3%
」 7
 
5.3%
』 4
 
3.1%
『 4
 
3.1%
㈜ 2
 
1.5%
Punctuation
ValueCountFrequency (%)
‘ 44
49.4%
’ 39
43.8%
“ 3
 
3.4%
″ 2
 
2.2%
” 1
 
1.1%
Compat Jamo
ValueCountFrequency (%)
ㆍ 13
92.9%
ㅡ 1
 
7.1%
Geometric Shapes
ValueCountFrequency (%)
○ 3
75.0%
▶ 1
 
25.0%
CJK
ValueCountFrequency (%)
故 3
 
13.6%
北 1
 
4.5%
展 1
 
4.5%
平 1
 
4.5%
京 1
 
4.5%
近 1
 
4.5%
習 1
 
4.5%
田 1
 
4.5%
彦 1
 
4.5%
佳 1
 
4.5%
Other values (10) 10
45.5%

기사글분류코드
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9876 
문화
 
60
관광
 
37
사회
 
13
외교
 
7
Other values (2)
 
7

Length

Max length4
Median length4
Mean length3.9757
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9876
98.8%
문화 60
 
0.6%
관광 37
 
0.4%
사회 13
 
0.1%
외교 7
 
0.1%
스포츠 5
 
0.1%
경제 2
 
< 0.1%

Length

2023-12-12T14:04:16.638493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:04:16.794194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9876
98.8%
문화 60
 
0.6%
관광 37
 
0.4%
사회 13
 
0.1%
외교 7
 
0.1%
스포츠 5
 
< 0.1%
경제 2
 
< 0.1%

공공누리자유사용여부
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
미적용
9630 
적용
 
370

Length

Max length3
Median length3
Mean length2.963
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row미적용
2nd row미적용
3rd row미적용
4th row미적용
5th row미적용

Common Values

ValueCountFrequency (%)
미적용 9630
96.3%
적용 370
 
3.7%

Length

2023-12-12T14:04:16.971388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:04:17.108206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미적용 9630
96.3%
적용 370
 
3.7%

공공누리유형코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9613 
유형1
 
370
유형
 
17

Length

Max length4
Median length4
Mean length3.9596
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9613
96.1%
유형1 370
 
3.7%
유형 17
 
0.2%

Length

2023-12-12T14:04:17.267413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:04:17.383349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9613
96.1%
유형1 370
 
3.7%
유형 17
 
0.2%

사진출처정보
Categorical

IMBALANCE 

Distinct41
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
7141 
청와대
 
436
문화체육관광부
 
430
e영상역사관
 
370
국무조정실
 
274
Other values (36)
1349 

Length

Max length8
Median length4
Mean length4.2338
Min length3

Unique

Unique3 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 7141
71.4%
청와대 436
 
4.4%
문화체육관광부 430
 
4.3%
e영상역사관 370
 
3.7%
국무조정실 274
 
2.7%
조달청 166
 
1.7%
통일부 158
 
1.6%
중소기업청 104
 
1.0%
소방방재청 102
 
1.0%
기상청 95
 
0.9%
Other values (31) 724
 
7.2%

Length

2023-12-12T14:04:17.522923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 7141
71.4%
청와대 436
 
4.4%
문화체육관광부 430
 
4.3%
e영상역사관 370
 
3.7%
국무조정실 274
 
2.7%
조달청 166
 
1.7%
통일부 158
 
1.6%
중소기업청 104
 
1.0%
소방방재청 102
 
1.0%
기상청 95
 
0.9%
Other values (31) 724
 
7.2%

부가정보
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9998 
2
 
1
1
 
1

Length

Max length4
Median length4
Mean length3.9994
Min length1

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9998
> 99.9%
2 1
 
< 0.1%
1 1
 
< 0.1%

Length

2023-12-12T14:04:17.698582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:04:17.855578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9998
> 99.9%
2 1
 
< 0.1%
1 1
 
< 0.1%

상세주소
Text

MISSING 

Distinct500
Distinct (%)100.0%
Missing9500
Missing (%)95.0%
Memory size156.2 KiB
2023-12-12T14:04:18.229815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length74
Median length73
Mean length73.168
Min length73

Characters and Unicode

Total characters36584
Distinct characters38
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique500 ?
Unique (%)100.0%

Sample

1st rowhttp://www.much.go.kr/story/story.do?_method=detailUserStory&mts_idx=6358
2nd rowhttp://www.much.go.kr/story/story.do?_method=detailUserStory&mts_idx=5935
3rd rowhttp://www.much.go.kr/story/story.do?_method=detailUserStory&mts_idx=7845
4th rowhttp://www.much.go.kr/story/story.do?_method=detailUserStory&mts_idx=6734
5th rowhttp://www.much.go.kr/story/story.do?_method=detailUserStory&mts_idx=6132
ValueCountFrequency (%)
http://www.much.go.kr/story/story.do?_method=detailuserstory&mts_idx=10304 1
 
0.2%
http://www.much.go.kr/story/story.do?_method=detailuserstory&mts_idx=10506 1
 
0.2%
http://www.much.go.kr/story/story.do?_method=detailuserstory&mts_idx=11489 1
 
0.2%
http://www.much.go.kr/story/story.do?_method=detailuserstory&mts_idx=7190 1
 
0.2%
http://www.much.go.kr/story/story.do?_method=detailuserstory&mts_idx=6188 1
 
0.2%
http://www.much.go.kr/story/story.do?_method=detailuserstory&mts_idx=9890 1
 
0.2%
http://www.much.go.kr/story/story.do?_method=detailuserstory&mts_idx=4457 1
 
0.2%
http://www.much.go.kr/story/story.do?_method=detailuserstory&mts_idx=8236 1
 
0.2%
http://www.much.go.kr/story/story.do?_method=detailuserstory&mts_idx=7697 1
 
0.2%
http://www.much.go.kr/story/story.do?_method=detailuserstory&mts_idx=6492 1
 
0.2%
Other values (490) 490
98.0%
2023-12-12T14:04:18.772836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
t 4000
 
10.9%
o 3000
 
8.2%
r 2500
 
6.8%
d 2000
 
5.5%
/ 2000
 
5.5%
. 2000
 
5.5%
s 2000
 
5.5%
h 1500
 
4.1%
y 1500
 
4.1%
e 1500
 
4.1%
Other values (28) 14584
39.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 26000
71.1%
Other Punctuation 5500
 
15.0%
Decimal Number 2084
 
5.7%
Connector Punctuation 1000
 
2.7%
Math Symbol 1000
 
2.7%
Uppercase Letter 1000
 
2.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 4000
15.4%
o 3000
11.5%
r 2500
9.6%
d 2000
 
7.7%
s 2000
 
7.7%
h 1500
 
5.8%
y 1500
 
5.8%
e 1500
 
5.8%
m 1500
 
5.8%
w 1500
 
5.8%
Other values (9) 5000
19.2%
Decimal Number
ValueCountFrequency (%)
6 287
13.8%
1 276
13.2%
4 208
10.0%
5 200
9.6%
9 197
9.5%
3 194
9.3%
8 191
9.2%
0 187
9.0%
7 172
8.3%
2 172
8.3%
Other Punctuation
ValueCountFrequency (%)
/ 2000
36.4%
. 2000
36.4%
& 500
 
9.1%
? 500
 
9.1%
: 500
 
9.1%
Uppercase Letter
ValueCountFrequency (%)
S 500
50.0%
U 500
50.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1000
100.0%
Math Symbol
ValueCountFrequency (%)
= 1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 27000
73.8%
Common 9584
 
26.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 4000
14.8%
o 3000
11.1%
r 2500
9.3%
d 2000
 
7.4%
s 2000
 
7.4%
h 1500
 
5.6%
y 1500
 
5.6%
e 1500
 
5.6%
m 1500
 
5.6%
w 1500
 
5.6%
Other values (11) 6000
22.2%
Common
ValueCountFrequency (%)
/ 2000
20.9%
. 2000
20.9%
_ 1000
10.4%
= 1000
10.4%
& 500
 
5.2%
? 500
 
5.2%
: 500
 
5.2%
6 287
 
3.0%
1 276
 
2.9%
4 208
 
2.2%
Other values (7) 1313
13.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 36584
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t 4000
 
10.9%
o 3000
 
8.2%
r 2500
 
6.8%
d 2000
 
5.5%
/ 2000
 
5.5%
. 2000
 
5.5%
s 2000
 
5.5%
h 1500
 
4.1%
y 1500
 
4.1%
e 1500
 
4.1%
Other values (28) 14584
39.9%

상태코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
승인
10000 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row승인
2nd row승인
3rd row승인
4th row승인
5th row승인

Common Values

ValueCountFrequency (%)
승인 10000
100.0%

Length

2023-12-12T14:04:18.977698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:04:19.088082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
승인 10000
100.0%

최초승인일시
Date

Distinct3289
Distinct (%)32.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2011-10-18 17:06:58
Maximum2013-12-10 13:58:13
2023-12-12T14:04:19.219826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:04:19.417900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

승인일시
Date

Distinct3291
Distinct (%)32.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2011-10-18 17:06:58
Maximum2017-09-19 13:56:28
2023-12-12T14:04:19.599735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:04:19.801721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

정렬순서
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9851 
<NA>
 
149

Length

Max length4
Median length1
Mean length1.0447
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 9851
98.5%
<NA> 149
 
1.5%

Length

2023-12-12T14:04:19.982141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:04:20.125261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9851
98.5%
na 149
 
1.5%

추천수
Real number (ℝ)

ZEROS 

Distinct64
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.5821
Minimum0
Maximum161
Zeros8116
Zeros (%)81.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T14:04:20.278261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile9
Maximum161
Range161
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.8237832
Coefficient of variation (CV)3.6810462
Kurtosis146.91096
Mean1.5821
Median Absolute Deviation (MAD)0
Skewness9.1224971
Sum15821
Variance33.916451
MonotonicityNot monotonic
2023-12-12T14:04:20.459055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8116
81.2%
1 324
 
3.2%
4 228
 
2.3%
3 169
 
1.7%
5 166
 
1.7%
2 137
 
1.4%
6 136
 
1.4%
7 106
 
1.1%
8 67
 
0.7%
9 60
 
0.6%
Other values (54) 491
 
4.9%
ValueCountFrequency (%)
0 8116
81.2%
1 324
 
3.2%
2 137
 
1.4%
3 169
 
1.7%
4 228
 
2.3%
5 166
 
1.7%
6 136
 
1.4%
7 106
 
1.1%
8 67
 
0.7%
9 60
 
0.6%
ValueCountFrequency (%)
161 1
< 0.1%
137 1
< 0.1%
124 1
< 0.1%
97 1
< 0.1%
85 1
< 0.1%
83 1
< 0.1%
81 1
< 0.1%
80 1
< 0.1%
73 1
< 0.1%
70 1
< 0.1%

조회수
Real number (ℝ)

SKEWED  ZEROS 

Distinct1381
Distinct (%)13.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean283.0233
Minimum0
Maximum45786
Zeros6762
Zeros (%)67.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T14:04:20.633068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3563
95-th percentile1201
Maximum45786
Range45786
Interquartile range (IQR)563

Descriptive statistics

Standard deviation707.63269
Coefficient of variation (CV)2.500263
Kurtosis1717.8746
Mean283.0233
Median Absolute Deviation (MAD)0
Skewness28.215892
Sum2830233
Variance500744.02
MonotonicityNot monotonic
2023-12-12T14:04:21.151788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6762
67.6%
692 10
 
0.1%
833 10
 
0.1%
818 10
 
0.1%
849 10
 
0.1%
852 9
 
0.1%
750 9
 
0.1%
687 9
 
0.1%
842 9
 
0.1%
812 9
 
0.1%
Other values (1371) 3153
31.5%
ValueCountFrequency (%)
0 6762
67.6%
1 2
 
< 0.1%
2 5
 
0.1%
3 1
 
< 0.1%
4 3
 
< 0.1%
5 2
 
< 0.1%
9 1
 
< 0.1%
11 2
 
< 0.1%
13 1
 
< 0.1%
15 2
 
< 0.1%
ValueCountFrequency (%)
45786 1
< 0.1%
8244 1
< 0.1%
7584 1
< 0.1%
7405 1
< 0.1%
7135 1
< 0.1%
6924 1
< 0.1%
5561 1
< 0.1%
5459 1
< 0.1%
5058 1
< 0.1%
4938 1
< 0.1%

최초등록자아이디
Text

Distinct107
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T14:04:21.387159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length9
Mean length8.5342
Min length4

Characters and Unicode

Total characters85342
Distinct characters38
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)0.2%

Sample

1st rowmanager01
2nd rowmanager01
3rd rowmanager01
4th rowmanager01
5th rowmanager01
ValueCountFrequency (%)
manager01 7048
70.5%
pmomanager 484
 
4.8%
banana 324
 
3.2%
shjun 206
 
2.1%
naonnuri 164
 
1.6%
lssun1 158
 
1.6%
egoiste00 104
 
1.0%
kccphoto 91
 
0.9%
adsd21 86
 
0.9%
turtel 84
 
0.8%
Other values (97) 1251
 
12.5%
2023-12-12T14:04:21.750152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 16837
19.7%
n 9727
11.4%
e 8555
10.0%
m 8304
9.7%
r 8061
9.4%
g 7846
9.2%
1 7556
8.9%
0 7478
8.8%
o 1897
 
2.2%
s 1300
 
1.5%
Other values (28) 7781
9.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 69139
81.0%
Decimal Number 16197
 
19.0%
Uppercase Letter 6
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 16837
24.4%
n 9727
14.1%
e 8555
12.4%
m 8304
12.0%
r 8061
11.7%
g 7846
11.3%
o 1897
 
2.7%
s 1300
 
1.9%
p 886
 
1.3%
h 877
 
1.3%
Other values (15) 4849
 
7.0%
Decimal Number
ValueCountFrequency (%)
1 7556
46.7%
0 7478
46.2%
9 299
 
1.8%
5 214
 
1.3%
2 203
 
1.3%
7 196
 
1.2%
4 143
 
0.9%
8 49
 
0.3%
6 34
 
0.2%
3 25
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
L 2
33.3%
J 2
33.3%
S 2
33.3%

Most occurring scripts

ValueCountFrequency (%)
Latin 69145
81.0%
Common 16197
 
19.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 16837
24.4%
n 9727
14.1%
e 8555
12.4%
m 8304
12.0%
r 8061
11.7%
g 7846
11.3%
o 1897
 
2.7%
s 1300
 
1.9%
p 886
 
1.3%
h 877
 
1.3%
Other values (18) 4855
 
7.0%
Common
ValueCountFrequency (%)
1 7556
46.7%
0 7478
46.2%
9 299
 
1.8%
5 214
 
1.3%
2 203
 
1.3%
7 196
 
1.2%
4 143
 
0.9%
8 49
 
0.3%
6 34
 
0.2%
3 25
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 85342
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 16837
19.7%
n 9727
11.4%
e 8555
10.0%
m 8304
9.7%
r 8061
9.4%
g 7846
9.2%
1 7556
8.9%
0 7478
8.8%
o 1897
 
2.2%
s 1300
 
1.5%
Other values (28) 7781
9.1%

최초등록일시
Date

Distinct3322
Distinct (%)33.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2011-10-18 17:06:58
Maximum2013-12-10 13:58:13
2023-12-12T14:04:21.883399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:04:22.037981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

최종수정자아이디
Categorical

IMBALANCE 

Distinct50
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
7867 
pmomanager
 
314
imhinayo
 
275
manager01
 
238
seloving
 
227
Other values (45)
1079 

Length

Max length12
Median length4
Mean length4.9348
Min length4

Unique

Unique7 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 7867
78.7%
pmomanager 314
 
3.1%
imhinayo 275
 
2.8%
manager01 238
 
2.4%
seloving 227
 
2.3%
photomanager 162
 
1.6%
banana 125
 
1.2%
twoskyape 100
 
1.0%
dyangs 80
 
0.8%
kdrogue 77
 
0.8%
Other values (40) 535
 
5.3%

Length

2023-12-12T14:04:22.185805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 7867
78.7%
pmomanager 314
 
3.1%
imhinayo 275
 
2.8%
manager01 238
 
2.4%
seloving 227
 
2.3%
photomanager 162
 
1.6%
banana 125
 
1.2%
twoskyape 100
 
1.0%
dyangs 80
 
0.8%
kdrogue 77
 
0.8%
Other values (40) 535
 
5.3%

최종수정일시
Date

Distinct2173
Distinct (%)21.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2011-10-24 13:18:17
Maximum2022-03-31 12:22:00
2023-12-12T14:04:22.291409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:04:22.429306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

날짜표시구분
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

Sample

기사글번호주제코드소속코드부모기사글번호기사글제목기사글부제목기사글내용기사글태그정보기자기수아이디사진기제작자코드사진기기기종류명촬영지역명촬영지역상세주소촬영날짜정보촬영행위자명썸네일저장주소역사일자이력년월대표사진내용기사글분류코드공공누리자유사용여부공공누리유형코드사진출처정보부가정보상세주소상태코드최초승인일시승인일시정렬순서추천수조회수최초등록자아이디최초등록일시최종수정자아이디최종수정일시날짜표시구분
50625321역사박물관국민소통실0한국과학기술연구소 KIST 발족<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>41966-02<NA><NA>미적용<NA><NA><NA><NA>승인2013-07-01 20:05:272013-07-01 20:05:27000manager012013-07-01 20:05:27<NA>2013-07-01 20:05:27<NA>
1169012297역사박물관국민소통실0안창호·이대위 등, 샌프란시스코에 친목회 조직<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>231903-09<NA><NA>미적용<NA><NA><NA><NA>승인2013-07-01 20:06:252013-07-01 20:06:25000manager012013-07-01 20:06:25<NA>2017-03-17 14:24:15<NA>
59646227역사박물관국민소통실0<한국일보>,<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>31956-03<NA><NA>미적용<NA><NA><NA><NA>승인2013-07-01 20:05:352013-07-01 20:05:35000manager012013-07-01 20:05:35<NA>2013-07-01 20:05:35<NA>
1070411040역사박물관국민소통실0일왕 히로이토, 항복 방송<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>151945-08<NA><NA>미적용<NA><NA><NA><NA>승인2013-07-01 20:06:162013-07-01 20:06:16000manager012013-07-01 20:06:16<NA>2013-07-01 20:06:16<NA>
1030910677역사박물관국민소통실0한국국제기아·질병·문맹퇴지기구, 북한 수해복구 첫 지원<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>32006-08<NA><NA>미적용<NA><NA><NA><NA>승인2013-07-01 20:06:132013-07-01 20:06:13000manager012013-07-01 20:06:13<NA>2013-07-01 20:06:13<NA>
78848203역사박물관국민소통실0경남 남해군~사천 간 연륙교 개통<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>282003-04<NA><NA>미적용<NA><NA><NA><NA>승인2013-07-01 20:05:522013-07-01 20:05:52000manager012013-07-01 20:05:52<NA>2013-07-01 20:05:52<NA>
61856498역사박물관국민소통실0김연아, 세계주니어피겨스케이팅선수권 대회에서 우승<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>102006-03<NA><NA>미적용<NA><NA><NA><NA>승인2013-07-01 20:05:372013-07-01 20:05:37000manager012013-07-01 20:05:37<NA>2013-07-01 20:05:37<NA>
48715232역사박물관국민소통실0한일대륙붕협정 체결<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>301974-01<NA><NA>미적용<NA><NA><NA><NA>승인2013-07-01 20:05:262013-07-01 20:05:26000manager012013-07-01 20:05:26<NA>2013-07-01 20:05:26<NA>
54555763역사박물관국민소통실0개정 병역법시행령 공포<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>181959-02<NA><NA>미적용<NA><NA><NA><NA>승인2013-07-01 20:05:312013-07-01 20:05:31000manager012013-07-01 20:05:31<NA>2013-07-01 20:05:31<NA>
66437013역사박물관국민소통실040년 만의 최악 황사, 초등학교 · 유치원 휴교<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>232002-03<NA><NA>미적용<NA><NA><NA><NA>승인2013-07-01 20:05:412013-07-01 20:05:41000manager012013-07-01 20:05:41photomanager2014-05-12 10:40:04<NA>
기사글번호주제코드소속코드부모기사글번호기사글제목기사글부제목기사글내용기사글태그정보기자기수아이디사진기제작자코드사진기기기종류명촬영지역명촬영지역상세주소촬영날짜정보촬영행위자명썸네일저장주소역사일자이력년월대표사진내용기사글분류코드공공누리자유사용여부공공누리유형코드사진출처정보부가정보상세주소상태코드최초승인일시승인일시정렬순서추천수조회수최초등록자아이디최초등록일시최종수정자아이디최종수정일시날짜표시구분
58896302역사박물관국민소통실0양도성 예금증서 발행 및 대출금리 자유화<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>51986-03<NA><NA>미적용<NA><NA><NA><NA>승인2013-07-01 20:05:352013-07-01 20:05:35000manager012013-07-01 20:05:35<NA>2013-07-01 20:05:35<NA>
1165612223역사박물관국민소통실0독립운동가 김학규 사망<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>201967-09<NA><NA>미적용<NA><NA><NA><NA>승인2013-07-01 20:06:252013-07-01 20:06:25000manager012013-07-01 20:06:25<NA>2017-03-17 14:24:15<NA>
1521016133역사박물관국민소통실0베토벤 탄생 2백주년 기념 서울시향 연주회<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>291969-12<NA><NA>미적용<NA><NA><NA><NA>승인2013-07-01 20:06:412013-07-01 20:06:41000manager012013-07-01 20:06:41<NA>2013-07-01 20:06:41<NA>
85838938역사박물관국민소통실0한성농공은행 개업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>21906-06<NA><NA>미적용<NA><NA><NA><NA>승인2013-07-01 20:05:572013-07-01 20:05:57000manager012013-07-01 20:05:57<NA>2013-07-01 20:05:57<NA>
35233741국무총리국무조정실0정 총리, 종로소방서 방문정 총리, 종로소방서 방문정홍원 국무총리가 2일 종로소방서를 방문 소방대원들과 기념촬영을 하고 있다.정홍원 국무총리가 2일 종로소방서를 방문 소방물품들을 살펴보고 있다.정홍원 국무총리가 2일 종로소방서를 방문 소방물품들을 살펴보고 있다.정홍원 국무총리가 2일 종로소방서를 방문 소방물품들을 살펴보고 있다.종로소방서<NA>NIKONNIKON D3X1종로소방서2013-03-02변성주/admin2011/upload/photo/2013/03/84F6B8E3-8235-4A7C-A8A8-F8633F32DD0F_THUMB_1.jpg<NA><NA><NA><NA>미적용<NA>문화체육관광부<NA><NA>승인2013-03-07 14:39:422013-03-07 14:39:42001925pmomanager2013-03-07 14:39:42<NA>2022-03-31 11:56:17<NA>
66636993역사박물관국민소통실0미 국무부, 합리적 민정이양 절차안 제출을 희망하는 공식 견해 발표<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>231963-03<NA><NA>미적용<NA><NA><NA><NA>승인2013-07-01 20:05:412013-07-01 20:05:41000manager012013-07-01 20:05:41<NA>2013-07-01 20:05:41<NA>
43564681역사박물관국민소통실0중화학공업 · 전기업 등에 총 2,870억 원 국민투자기금 지원<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>61978-01<NA><NA>미적용<NA><NA><NA><NA>승인2013-07-01 20:05:222013-07-01 20:05:22000manager012013-07-01 20:05:22photomanager2014-05-12 11:06:24<NA>
25642722정부부처산림청0제21회 전국임업후계자 대회제21회 전국임업후계자 대회17일 오전 경기도 가평군 자라섬 일원에서 '제21회 전국임업후계자대회'가 열렸다.17일 오전 경기도 가평군 자라섬 일원에서 '제21회 전국임업후계자대회'가 열렸다.이돈구, 임업후계자<NA>NIKOND39가평군 자라섬2012-08-17이래호/admin2011/upload/photo/2012/08/0FB0E3F2-90CB-437E-939C-7CCABD6CF563_THUMB_1.jpg<NA><NA><NA><NA>미적용<NA>산림청<NA><NA>승인2012-08-20 00:00:002012-08-20 00:00:0000682photo2012-08-20 08:28:38<NA>2012-08-20 08:28:38<NA>
36963922국민속으로객원사진가0제94주년 대한민국임시정부수립 기념식<NA>박유철 광복회장이 13일 오전 서울 용산구 효창동 백범김구기념관에서 열린 제94주년 대한민국임시정부수립 기념식에 참석해 기념사를 하고 있다.박유철 광복회장이 13일 오전 서울 용산구 효창동 백범김구기념관에서 열린 제94주년 대한민국임시정부수립 기념식에서 참석해 기념사를 하고 있다.13일 오전 서울 용산구 효창동 백범김구기념관에서 열린제94주년 대한민국임시정부수립 기념식에 독립유공자 유족 각계대표 시민 학생 등이 참석해 자리를 빛냈다.정홍원 국무총리가 13일 오전 서울 용산구 효창동 백범김구기념관에서 열린 제94주년 대한민국임시정부수립 기념식에서 참석해 기념사를 하고 있다.정홍원 국무총리가 13일 오전 서울 용산구 효창동 백범김구기념관에서 열린 제94주년 대한민국임시정부수립 기념식에서 참석해 기념사를 하고 있다.13일 오전 서울 용산구 효창동 백범김구기념관에서 열린제94주년 대한민국임시정부수립 기념식에 독립유공자 유족 각계대표 시민 학생 등이 참석해 자리를 빛냈다.정홍원 국무총리가 13일 오전 서울 용산구 효창동 백범김구기념관에서 열린 제94주년 대한민국임시정부수립 기념식에서 참석해 기념사를 하고 있다.정홍원 국무총리가 13일 오전 서울 용산구 효창동 백범김구기념관에서 열린 제94주년 대한민국임시정부수립 기념식에서 참석해 기념사를 하고 있다.정홍원 국무총리가 13일 오전 서울 용산구 효창동 백범김구기념관에서 열린 제94주년 대한민국임시정부수립 기념식에서 참석해 기념사를 하고 있다.13일 오전 서울 용산구 효창동 백범김구기념관에서 열린제94주년 대한민국임시정부수립 기념식에 독립유공자 유족 각계대표 시민 학생 등이 참석해 자리를 빛냈다.13일 오전 서울 용산구 효창동 백범김구기념관에서 열린제94주년 대한민국임시정부수립 기념식에서 의정부시립합창단이 축하공연을 하고 있다.13일 오전 서울 용산구 효창동 백범김구기념관에서 열린제94주년 대한민국임시정부수립 기념식에서 의정부시립합창단이 축하공연을 하고 있다.13일 오전 서울 용산구 효창동 백범김구기념관에서 열린제94주년 대한민국임시정부수립 기념식에 참석한 정홍원 국<NA><NA>CANONcanon 1D X1용산구 효창동 백범김구기념관2013-04-13성혜련/admin2011/upload/photo/2013/04/01F487AF-00DB-4176-933F-E350CBD1755B_THUMB_1.jpg<NA><NA>정홍원 국무총리가 13일 오전 서울 용산구 효창동 백범김구기념관에서 열린 제94주년 대한민국임시정부수립 기념식에서 참석해 기념사를 하고 있다.사회미적용<NA><NA><NA><NA>승인2013-04-14 03:06:122013-04-14 03:06:1203807shrphoto2013-04-14 03:06:12gkswl2013-04-19 11:07:56<NA>
1459815574역사박물관국민소통실0대법원, 가정폭력 피해 74세 여성 노인 이혼소송 불허, 여성단체 등 반발<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>81999-12<NA><NA>미적용<NA><NA><NA><NA>승인2013-07-01 20:06:382013-07-01 20:06:38000manager012013-07-01 20:06:38<NA>2013-07-01 20:06:38<NA>