Overview

Dataset statistics

Number of variables10
Number of observations10000
Missing cells10984
Missing cells (%)11.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory869.1 KiB
Average record size in memory89.0 B

Variable types

Text7
Unsupported1
DateTime1
Categorical1

Dataset

Description각종 체육관련행사 및 주요경기 장면 사진
Author대한체육회
URLhttps://www.data.go.kr/data/3058131/fileData.do

Alerts

사진확장자 is highly imbalanced (69.1%)Imbalance
카테고리정보 has 146 (1.5%) missing valuesMissing
촬영장소 has 227 (2.3%) missing valuesMissing
촬영일자 has 10000 (100.0%) missing valuesMissing
카메라정보 has 611 (6.1%) missing valuesMissing
사진URL has unique valuesUnique
촬영일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-12 08:28:29.767581
Analysis finished2023-12-12 08:28:32.250562
Duration2.48 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사진URL
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T17:28:32.491907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length81
Median length79
Mean length79.2334
Min length78

Characters and Unicode

Total characters792334
Distinct characters39
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10000 ?
Unique (%)100.0%

Sample

1st rowhttps://www.sportal.or.kr/info/photoView.do?fileGroupNo=AF2010040015&fileSeq=341
2nd rowhttps://www.sportal.or.kr/info/photoView.do?fileGroupNo=AF2015090019&fileSeq=317
3rd rowhttps://www.sportal.or.kr/info/photoView.do?fileGroupNo=AF2009080029&fileSeq=102
4th rowhttps://www.sportal.or.kr/info/photoView.do?fileGroupNo=AF2009110037&fileSeq=107
5th rowhttps://www.sportal.or.kr/info/photoView.do?fileGroupNo=AF2015090019&fileSeq=151
ValueCountFrequency (%)
https://www.sportal.or.kr/info/photoview.do?filegroupno=af2010040015&fileseq=341 1
 
< 0.1%
https://www.sportal.or.kr/info/photoview.do?filegroupno=af2014040008&fileseq=785 1
 
< 0.1%
https://www.sportal.or.kr/info/photoview.do?filegroupno=af2011050005&fileseq=20 1
 
< 0.1%
https://www.sportal.or.kr/info/photoview.do?filegroupno=af2009100004&fileseq=28 1
 
< 0.1%
https://www.sportal.or.kr/info/photoview.do?filegroupno=af2016120008&fileseq=14 1
 
< 0.1%
https://www.sportal.or.kr/info/photoview.do?filegroupno=af2016120009&fileseq=11 1
 
< 0.1%
https://www.sportal.or.kr/info/photoview.do?filegroupno=af2009090014&fileseq=5 1
 
< 0.1%
https://www.sportal.or.kr/info/photoview.do?filegroupno=af2009080003&fileseq=21 1
 
< 0.1%
https://www.sportal.or.kr/info/photoview.do?filegroupno=af2010030001&fileseq=32 1
 
< 0.1%
https://www.sportal.or.kr/info/photoview.do?filegroupno=af2010040013&fileseq=220 1
 
< 0.1%
Other values (9990) 9990
99.9%
2023-12-12T17:28:32.950309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 80000
 
10.1%
0 52934
 
6.7%
i 40000
 
5.0%
p 40000
 
5.0%
t 40000
 
5.0%
e 40000
 
5.0%
/ 40000
 
5.0%
w 40000
 
5.0%
. 40000
 
5.0%
r 40000
 
5.0%
Other values (29) 339400
42.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 480000
60.6%
Decimal Number 122334
 
15.4%
Other Punctuation 110000
 
13.9%
Uppercase Letter 60000
 
7.6%
Math Symbol 20000
 
2.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 80000
16.7%
i 40000
8.3%
p 40000
8.3%
t 40000
8.3%
e 40000
8.3%
w 40000
8.3%
r 40000
8.3%
l 30000
 
6.2%
f 30000
 
6.2%
h 20000
 
4.2%
Other values (7) 80000
16.7%
Decimal Number
ValueCountFrequency (%)
0 52934
43.3%
1 18698
 
15.3%
2 16694
 
13.6%
9 8262
 
6.8%
3 5997
 
4.9%
4 5457
 
4.5%
5 4124
 
3.4%
8 3789
 
3.1%
6 3236
 
2.6%
7 3143
 
2.6%
Uppercase Letter
ValueCountFrequency (%)
S 10000
16.7%
F 10000
16.7%
A 10000
16.7%
N 10000
16.7%
G 10000
16.7%
V 10000
16.7%
Other Punctuation
ValueCountFrequency (%)
/ 40000
36.4%
. 40000
36.4%
& 10000
 
9.1%
? 10000
 
9.1%
: 10000
 
9.1%
Math Symbol
ValueCountFrequency (%)
= 20000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 540000
68.2%
Common 252334
31.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 80000
14.8%
i 40000
 
7.4%
p 40000
 
7.4%
t 40000
 
7.4%
e 40000
 
7.4%
w 40000
 
7.4%
r 40000
 
7.4%
l 30000
 
5.6%
f 30000
 
5.6%
h 20000
 
3.7%
Other values (13) 140000
25.9%
Common
ValueCountFrequency (%)
0 52934
21.0%
/ 40000
15.9%
. 40000
15.9%
= 20000
 
7.9%
1 18698
 
7.4%
2 16694
 
6.6%
& 10000
 
4.0%
? 10000
 
4.0%
: 10000
 
4.0%
9 8262
 
3.3%
Other values (6) 25746
10.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 792334
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 80000
 
10.1%
0 52934
 
6.7%
i 40000
 
5.0%
p 40000
 
5.0%
t 40000
 
5.0%
e 40000
 
5.0%
/ 40000
 
5.0%
w 40000
 
5.0%
. 40000
 
5.0%
r 40000
 
5.0%
Other values (29) 339400
42.8%

카테고리정보
Text

MISSING 

Distinct213
Distinct (%)2.2%
Missing146
Missing (%)1.5%
Memory size156.2 KiB
2023-12-12T17:28:33.251015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length36
Mean length21.303836
Min length8

Characters and Unicode

Total characters209928
Distinct characters175
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row국제종합경기대회-동계올림픽대회,종목별보기-피겨
2nd row국제종합경기대회-하계올림픽대회
3rd row종목별보기-피겨
4th row기타대회-세계선수권대회,종목별보기-역도
5th row국제종합경기대회-하계올림픽대회
ValueCountFrequency (%)
주요행사-대한체육회 1100
 
9.4%
국내행사 741
 
6.3%
기타대회-국내 741
 
6.3%
국제종합경기대회-동계올림픽대회 513
 
4.4%
국제종합경기대회-동계올림픽대회,종목별보기-아이스하키 356
 
3.0%
한국스포츠역사-1980 345
 
2.9%
주요행사-외부행사 327
 
2.8%
국제종합경기대회-동계올림픽대회,종목별보기-컬링 309
 
2.6%
종목별보기-빙상,기타대회-월드컵경기 263
 
2.2%
국제종합경기대회-동계올림픽대회,종목별보기-크로스컨트리 210
 
1.8%
Other values (207) 6801
58.1%
2023-12-12T17:28:33.659773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 16796
 
8.0%
기 16722
 
8.0%
회 14983
 
7.1%
대 14840
 
7.1%
종 12312
 
5.9%
국 9941
 
4.7%
경 7414
 
3.5%
보 7244
 
3.5%
별 7192
 
3.4%
, 6942
 
3.3%
Other values (165) 95542
45.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 182104
86.7%
Dash Punctuation 16796
 
8.0%
Other Punctuation 7011
 
3.3%
Space Separator 1852
 
0.9%
Decimal Number 1772
 
0.8%
Math Symbol 389
 
0.2%
Uppercase Letter 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 16722
 
9.2%
회 14983
 
8.2%
대 14840
 
8.1%
종 12312
 
6.8%
국 9941
 
5.5%
경 7414
 
4.1%
보 7244
 
4.0%
별 7192
 
3.9%
목 6849
 
3.8%
합 5396
 
3.0%
Other values (151) 79211
43.5%
Decimal Number
ValueCountFrequency (%)
9 477
26.9%
1 433
24.4%
0 389
22.0%
8 347
19.6%
6 88
 
5.0%
5 36
 
2.0%
4 2
 
0.1%
Other Punctuation
ValueCountFrequency (%)
, 6942
99.0%
. 69
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
L 2
50.0%
A 2
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 16796
100.0%
Space Separator
ValueCountFrequency (%)
1852
100.0%
Math Symbol
ValueCountFrequency (%)
~ 389
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 182104
86.7%
Common 27820
 
13.3%
Latin 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 16722
 
9.2%
회 14983
 
8.2%
대 14840
 
8.1%
종 12312
 
6.8%
국 9941
 
5.5%
경 7414
 
4.1%
보 7244
 
4.0%
별 7192
 
3.9%
목 6849
 
3.8%
합 5396
 
3.0%
Other values (151) 79211
43.5%
Common
ValueCountFrequency (%)
- 16796
60.4%
, 6942
25.0%
1852
 
6.7%
9 477
 
1.7%
1 433
 
1.6%
~ 389
 
1.4%
0 389
 
1.4%
8 347
 
1.2%
6 88
 
0.3%
. 69
 
0.2%
Other values (2) 38
 
0.1%
Latin
ValueCountFrequency (%)
L 2
50.0%
A 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 182104
86.7%
ASCII 27824
 
13.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 16796
60.4%
, 6942
24.9%
1852
 
6.7%
9 477
 
1.7%
1 433
 
1.6%
~ 389
 
1.4%
0 389
 
1.4%
8 347
 
1.2%
6 88
 
0.3%
. 69
 
0.2%
Other values (4) 42
 
0.2%
Hangul
ValueCountFrequency (%)
기 16722
 
9.2%
회 14983
 
8.2%
대 14840
 
8.1%
종 12312
 
6.8%
국 9941
 
5.5%
경 7414
 
4.1%
보 7244
 
4.0%
별 7192
 
3.9%
목 6849
 
3.8%
합 5396
 
3.0%
Other values (151) 79211
43.5%

사진제목
Text

Distinct416
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T17:28:33.983309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length82
Median length53
Mean length29.5001
Min length3

Characters and Unicode

Total characters295001
Distinct characters466
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)0.1%

Sample

1st row2010밴쿠버동계올림픽 아이스댄싱(2010년2월)
2nd row1984 제23회하계올림픽대회 선수촌 이모저모
3rd row삼성애니콜-하우젠 아이스올스타 2009 (2009년8월14-16일)
4th row2009 세계역도선수권대회(남자77KG)사재혁-용상금메달(2009년 11월 24일)
5th row1984 제23회하계올림픽대회 선수촌 이모저모
ValueCountFrequency (%)
제90회 1338
 
4.1%
전국체육대회 1175
 
3.6%
2010밴쿠버동계올림픽 957
 
2.9%
2월 711
 
2.2%
2010 659
 
2.0%
2010밴쿠버 480
 
1.5%
및 408
 
1.2%
행사 389
 
1.2%
경기 371
 
1.1%
2010밴쿠버동계올림픽(2010년 356
 
1.1%
Other values (948) 26061
79.2%
2023-12-12T17:28:34.527707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 30854
 
10.5%
23188
 
7.9%
2 22223
 
7.5%
1 16260
 
5.5%
회 9577
 
3.2%
( 8997
 
3.0%
9 8773
 
3.0%
) 8744
 
3.0%
년 7105
 
2.4%
월 6998
 
2.4%
Other values (456) 152282
51.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 146506
49.7%
Decimal Number 90636
30.7%
Space Separator 23188
 
7.9%
Open Punctuation 8997
 
3.0%
Close Punctuation 8744
 
3.0%
Other Punctuation 7101
 
2.4%
Uppercase Letter 6962
 
2.4%
Dash Punctuation 1042
 
0.4%
Lowercase Letter 910
 
0.3%
Math Symbol 900
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
회 9577
 
6.5%
년 7105
 
4.8%
월 6998
 
4.8%
대 6154
 
4.2%
일 4941
 
3.4%
제 4261
 
2.9%
기 3779
 
2.6%
계 3512
 
2.4%
경 3362
 
2.3%
동 3091
 
2.1%
Other values (390) 93726
64.0%
Uppercase Letter
ValueCountFrequency (%)
S 725
 
10.4%
I 707
 
10.2%
A 647
 
9.3%
U 575
 
8.3%
O 530
 
7.6%
C 434
 
6.2%
L 363
 
5.2%
P 354
 
5.1%
E 337
 
4.8%
N 310
 
4.5%
Other values (12) 1980
28.4%
Lowercase Letter
ValueCountFrequency (%)
u 128
14.1%
k 127
14.0%
s 110
12.1%
v 63
 
6.9%
e 56
 
6.2%
m 50
 
5.5%
c 50
 
5.5%
o 47
 
5.2%
t 43
 
4.7%
n 42
 
4.6%
Other values (11) 194
21.3%
Decimal Number
ValueCountFrequency (%)
0 30854
34.0%
2 22223
24.5%
1 16260
17.9%
9 8773
 
9.7%
8 2644
 
2.9%
3 2535
 
2.8%
5 1965
 
2.2%
7 1823
 
2.0%
4 1780
 
2.0%
6 1779
 
2.0%
Other Punctuation
ValueCountFrequency (%)
. 6683
94.1%
/ 283
 
4.0%
: 90
 
1.3%
, 29
 
0.4%
？ 10
 
0.1%
* 6
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 875
97.2%
+ 25
 
2.8%
Space Separator
ValueCountFrequency (%)
23188
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8997
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8744
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1042
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 146498
49.7%
Common 140623
47.7%
Latin 7872
 
2.7%
Han 8
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
회 9577
 
6.5%
년 7105
 
4.8%
월 6998
 
4.8%
대 6154
 
4.2%
일 4941
 
3.4%
제 4261
 
2.9%
기 3779
 
2.6%
계 3512
 
2.4%
경 3362
 
2.3%
동 3091
 
2.1%
Other values (387) 93718
64.0%
Latin
ValueCountFrequency (%)
S 725
 
9.2%
I 707
 
9.0%
A 647
 
8.2%
U 575
 
7.3%
O 530
 
6.7%
C 434
 
5.5%
L 363
 
4.6%
P 354
 
4.5%
E 337
 
4.3%
N 310
 
3.9%
Other values (33) 2890
36.7%
Common
ValueCountFrequency (%)
0 30854
21.9%
23188
16.5%
2 22223
15.8%
1 16260
11.6%
( 8997
 
6.4%
9 8773
 
6.2%
) 8744
 
6.2%
. 6683
 
4.8%
8 2644
 
1.9%
3 2535
 
1.8%
Other values (13) 9722
 
6.9%
Han
ValueCountFrequency (%)
故 3
37.5%
前 3
37.5%
美 2
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 148485
50.3%
Hangul 146498
49.7%
None 10
 
< 0.1%
CJK 8
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 30854
20.8%
23188
15.6%
2 22223
15.0%
1 16260
11.0%
( 8997
 
6.1%
9 8773
 
5.9%
) 8744
 
5.9%
. 6683
 
4.5%
8 2644
 
1.8%
3 2535
 
1.7%
Other values (55) 17584
11.8%
Hangul
ValueCountFrequency (%)
회 9577
 
6.5%
년 7105
 
4.8%
월 6998
 
4.8%
대 6154
 
4.2%
일 4941
 
3.4%
제 4261
 
2.9%
기 3779
 
2.6%
계 3512
 
2.4%
경 3362
 
2.3%
동 3091
 
2.1%
Other values (387) 93718
64.0%
None
ValueCountFrequency (%)
？ 10
100.0%
CJK
ValueCountFrequency (%)
故 3
37.5%
前 3
37.5%
美 2
25.0%

사진파일이름
Text

Distinct8972
Distinct (%)89.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T17:28:34.873937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length12
Mean length12.5958
Min length5

Characters and Unicode

Total characters125958
Distinct characters164
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8092 ?
Unique (%)80.9%

Sample

1st rowI88C7624.JPG
2nd rowLA선수촌 (317).JPG
3rd row9G2Q9187.JPG
4th rowJNS_0628.JPG
5th rowLA선수촌 (151).JPG
ValueCountFrequency (%)
la선수촌 152
 
1.4%
삿포로 120
 
1.1%
스키 120
 
1.1%
사본 99
 
0.9%
20091029_yuk_sang 49
 
0.4%
삿포로-아이스하키 46
 
0.4%
200910270_close 41
 
0.4%
삿포로-개막식 39
 
0.4%
20091027025_yooksang 37
 
0.3%
2009102701 34
 
0.3%
Other values (8414) 10401
93.4%
2023-12-12T17:28:35.344937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
G 11932
 
9.5%
J 10893
 
8.6%
8 10375
 
8.2%
. 10002
 
7.9%
P 9786
 
7.8%
2 7152
 
5.7%
9 6750
 
5.4%
0 5992
 
4.8%
1 5160
 
4.1%
4 4036
 
3.2%
Other values (154) 43880
34.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 54786
43.5%
Uppercase Letter 47747
37.9%
Other Punctuation 10008
 
7.9%
Lowercase Letter 5155
 
4.1%
Connector Punctuation 2787
 
2.2%
Other Letter 2253
 
1.8%
Space Separator 1138
 
0.9%
Close Punctuation 850
 
0.7%
Open Punctuation 849
 
0.7%
Dash Punctuation 385
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
포 205
 
9.1%
삿 205
 
9.1%
로 205
 
9.1%
스 167
 
7.4%
키 166
 
7.4%
수 160
 
7.1%
촌 160
 
7.1%
선 157
 
7.0%
사 103
 
4.6%
본 99
 
4.4%
Other values (88) 626
27.8%
Uppercase Letter
ValueCountFrequency (%)
G 11932
25.0%
J 10893
22.8%
P 9786
20.5%
I 3769
 
7.9%
C 3741
 
7.8%
Q 2622
 
5.5%
S 1681
 
3.5%
N 1482
 
3.1%
D 414
 
0.9%
A 362
 
0.8%
Other values (14) 1065
 
2.2%
Lowercase Letter
ValueCountFrequency (%)
g 840
16.3%
p 635
12.3%
j 585
11.3%
o 563
10.9%
s 333
 
6.5%
n 304
 
5.9%
y 260
 
5.0%
e 259
 
5.0%
a 180
 
3.5%
u 177
 
3.4%
Other values (14) 1019
19.8%
Decimal Number
ValueCountFrequency (%)
8 10375
18.9%
2 7152
13.1%
9 6750
12.3%
0 5992
10.9%
1 5160
9.4%
4 4036
 
7.4%
5 4011
 
7.3%
6 3958
 
7.2%
7 3730
 
6.8%
3 3622
 
6.6%
Other Punctuation
ValueCountFrequency (%)
. 10002
99.9%
, 6
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 849
99.9%
] 1
 
0.1%
Connector Punctuation
ValueCountFrequency (%)
_ 2787
100.0%
Space Separator
ValueCountFrequency (%)
1138
100.0%
Open Punctuation
ValueCountFrequency (%)
( 849
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 385
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 70803
56.2%
Latin 52902
42.0%
Hangul 2253
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
포 205
 
9.1%
삿 205
 
9.1%
로 205
 
9.1%
스 167
 
7.4%
키 166
 
7.4%
수 160
 
7.1%
촌 160
 
7.1%
선 157
 
7.0%
사 103
 
4.6%
본 99
 
4.4%
Other values (88) 626
27.8%
Latin
ValueCountFrequency (%)
G 11932
22.6%
J 10893
20.6%
P 9786
18.5%
I 3769
 
7.1%
C 3741
 
7.1%
Q 2622
 
5.0%
S 1681
 
3.2%
N 1482
 
2.8%
g 840
 
1.6%
p 635
 
1.2%
Other values (38) 5521
10.4%
Common
ValueCountFrequency (%)
8 10375
14.7%
. 10002
14.1%
2 7152
10.1%
9 6750
9.5%
0 5992
8.5%
1 5160
7.3%
4 4036
 
5.7%
5 4011
 
5.7%
6 3958
 
5.6%
7 3730
 
5.3%
Other values (8) 9637
13.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 123705
98.2%
Hangul 2253
 
1.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
G 11932
 
9.6%
J 10893
 
8.8%
8 10375
 
8.4%
. 10002
 
8.1%
P 9786
 
7.9%
2 7152
 
5.8%
9 6750
 
5.5%
0 5992
 
4.8%
1 5160
 
4.2%
4 4036
 
3.3%
Other values (56) 41627
33.7%
Hangul
ValueCountFrequency (%)
포 205
 
9.1%
삿 205
 
9.1%
로 205
 
9.1%
스 167
 
7.4%
키 166
 
7.4%
수 160
 
7.1%
촌 160
 
7.1%
선 157
 
7.0%
사 103
 
4.6%
본 99
 
4.4%
Other values (88) 626
27.8%

사진내용
Text

Distinct414
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T17:28:35.606856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length125
Median length61
Mean length18.4792
Min length2

Characters and Unicode

Total characters184792
Distinct characters457
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)0.1%

Sample

1st row2010밴쿠버동계올림픽 아이스댄싱.
2nd row1984 제23회하계올림픽대회 선수촌 이모저모
3rd row아이스쑈
4th row2009 세계역도선수권대회(남자77KG)사재혁-용상금메달
5th row1984 제23회하계올림픽대회 선수촌 이모저모
ValueCountFrequency (%)
제90회 1161
 
3.9%
전국체육대회 1061
 
3.6%
2010밴쿠버동계올림픽 936
 
3.2%
경기 709
 
2.4%
2010 510
 
1.7%
동계올림픽 465
 
1.6%
2010밴쿠버 455
 
1.5%
밴쿠버동계올림픽 447
 
1.5%
아이스하키경기 402
 
1.4%
행사 401
 
1.4%
Other values (773) 22938
77.8%
2023-12-12T17:28:36.040279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
20229
 
10.9%
0 9443
 
5.1%
회 8423
 
4.6%
대 5368
 
2.9%
기 4856
 
2.6%
2 4759
 
2.6%
. 4694
 
2.5%
경 4428
 
2.4%
1 4238
 
2.3%
제 3549
 
1.9%
Other values (447) 114805
62.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 128028
69.3%
Decimal Number 25028
 
13.5%
Space Separator 20229
 
10.9%
Other Punctuation 5140
 
2.8%
Uppercase Letter 4416
 
2.4%
Close Punctuation 539
 
0.3%
Open Punctuation 539
 
0.3%
Lowercase Letter 426
 
0.2%
Dash Punctuation 322
 
0.2%
Control 80
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
회 8423
 
6.6%
대 5368
 
4.2%
기 4856
 
3.8%
경 4428
 
3.5%
제 3549
 
2.8%
계 3533
 
2.8%
전 3049
 
2.4%
국 3031
 
2.4%
동 2998
 
2.3%
올 2839
 
2.2%
Other values (391) 85954
67.1%
Uppercase Letter
ValueCountFrequency (%)
I 639
14.5%
S 536
12.1%
A 535
12.1%
U 438
9.9%
P 296
 
6.7%
C 272
 
6.2%
L 226
 
5.1%
O 219
 
5.0%
G 211
 
4.8%
N 206
 
4.7%
Other values (9) 838
19.0%
Lowercase Letter
ValueCountFrequency (%)
k 123
28.9%
s 93
21.8%
t 37
 
8.7%
o 28
 
6.6%
c 28
 
6.6%
h 26
 
6.1%
g 24
 
5.6%
e 22
 
5.2%
m 13
 
3.1%
a 11
 
2.6%
Other values (3) 21
 
4.9%
Decimal Number
ValueCountFrequency (%)
0 9443
37.7%
2 4759
19.0%
1 4238
16.9%
9 3160
 
12.6%
8 873
 
3.5%
4 637
 
2.5%
3 622
 
2.5%
5 512
 
2.0%
6 478
 
1.9%
7 306
 
1.2%
Other Punctuation
ValueCountFrequency (%)
. 4694
91.3%
/ 283
 
5.5%
: 100
 
1.9%
, 53
 
1.0%
？ 10
 
0.2%
Math Symbol
ValueCountFrequency (%)
~ 43
95.6%
< 1
 
2.2%
> 1
 
2.2%
Control
ValueCountFrequency (%)
40
50.0%
40
50.0%
Space Separator
ValueCountFrequency (%)
20229
100.0%
Close Punctuation
ValueCountFrequency (%)
) 539
100.0%
Open Punctuation
ValueCountFrequency (%)
( 539
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 322
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 128020
69.3%
Common 51922
28.1%
Latin 4842
 
2.6%
Han 8
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
회 8423
 
6.6%
대 5368
 
4.2%
기 4856
 
3.8%
경 4428
 
3.5%
제 3549
 
2.8%
계 3533
 
2.8%
전 3049
 
2.4%
국 3031
 
2.4%
동 2998
 
2.3%
올 2839
 
2.2%
Other values (388) 85946
67.1%
Latin
ValueCountFrequency (%)
I 639
13.2%
S 536
11.1%
A 535
11.0%
U 438
 
9.0%
P 296
 
6.1%
C 272
 
5.6%
L 226
 
4.7%
O 219
 
4.5%
G 211
 
4.4%
N 206
 
4.3%
Other values (22) 1264
26.1%
Common
ValueCountFrequency (%)
20229
39.0%
0 9443
18.2%
2 4759
 
9.2%
. 4694
 
9.0%
1 4238
 
8.2%
9 3160
 
6.1%
8 873
 
1.7%
4 637
 
1.2%
3 622
 
1.2%
) 539
 
1.0%
Other values (14) 2728
 
5.3%
Han
ValueCountFrequency (%)
前 3
37.5%
故 3
37.5%
美 2
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 128020
69.3%
ASCII 56754
30.7%
None 10
 
< 0.1%
CJK 8
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
20229
35.6%
0 9443
16.6%
2 4759
 
8.4%
. 4694
 
8.3%
1 4238
 
7.5%
9 3160
 
5.6%
8 873
 
1.5%
I 639
 
1.1%
4 637
 
1.1%
3 622
 
1.1%
Other values (45) 7460
 
13.1%
Hangul
ValueCountFrequency (%)
회 8423
 
6.6%
대 5368
 
4.2%
기 4856
 
3.8%
경 4428
 
3.5%
제 3549
 
2.8%
계 3533
 
2.8%
전 3049
 
2.4%
국 3031
 
2.4%
동 2998
 
2.3%
올 2839
 
2.2%
Other values (388) 85946
67.1%
None
ValueCountFrequency (%)
？ 10
100.0%
CJK
ValueCountFrequency (%)
前 3
37.5%
故 3
37.5%
美 2
25.0%

촬영장소
Text

MISSING 

Distinct263
Distinct (%)2.7%
Missing227
Missing (%)2.3%
Memory size156.2 KiB
2023-12-12T17:28:36.334845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length17
Mean length7.84273
Min length1

Characters and Unicode

Total characters76647
Distinct characters288
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)< 0.1%

Sample

1st row캐나다밴쿠버.
2nd row미국LA
3rd row올림픽체조경기장
4th row경기도 고양시 킨텍스
5th row미국LA
ValueCountFrequency (%)
캐나다 951
 
6.3%
휘슬러 665
 
4.4%
캐나다밴쿠버 653
 
4.3%
대전 503
 
3.3%
서울 412
 
2.7%
올림픽공원 409
 
2.7%
캐나다휘슬러 356
 
2.4%
밴쿠버 325
 
2.2%
홍콩 283
 
1.9%
베이징 245
 
1.6%
Other values (270) 10225
68.0%
2023-12-12T17:28:36.743599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5321
 
6.9%
. 3512
 
4.6%
장 2779
 
3.6%
나 2121
 
2.8%
다 1978
 
2.6%
캐 1960
 
2.6%
대 1870
 
2.4%
경 1343
 
1.8%
기 1340
 
1.7%
전 1261
 
1.6%
Other values (278) 53162
69.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 65828
85.9%
Space Separator 5321
 
6.9%
Other Punctuation 3588
 
4.7%
Decimal Number 825
 
1.1%
Uppercase Letter 649
 
0.8%
Lowercase Letter 164
 
0.2%
Close Punctuation 126
 
0.2%
Open Punctuation 126
 
0.2%
Dash Punctuation 20
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 2779
 
4.2%
나 2121
 
3.2%
다 1978
 
3.0%
캐 1960
 
3.0%
대 1870
 
2.8%
경 1343
 
2.0%
기 1340
 
2.0%
전 1261
 
1.9%
림 1123
 
1.7%
올 1123
 
1.7%
Other values (250) 48930
74.3%
Decimal Number
ValueCountFrequency (%)
3 280
33.9%
1 225
27.3%
2 165
20.0%
7 67
 
8.1%
0 41
 
5.0%
8 22
 
2.7%
9 17
 
2.1%
6 8
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
A 247
38.1%
L 247
38.1%
C 67
 
10.3%
K 25
 
3.9%
T 25
 
3.9%
P 15
 
2.3%
B 15
 
2.3%
H 8
 
1.2%
Other Punctuation
ValueCountFrequency (%)
. 3512
97.9%
？ 66
 
1.8%
@ 6
 
0.2%
, 4
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
c 119
72.6%
l 15
 
9.1%
e 15
 
9.1%
a 15
 
9.1%
Space Separator
ValueCountFrequency (%)
5321
100.0%
Close Punctuation
ValueCountFrequency (%)
) 126
100.0%
Open Punctuation
ValueCountFrequency (%)
( 126
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 65828
85.9%
Common 10006
 
13.1%
Latin 813
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 2779
 
4.2%
나 2121
 
3.2%
다 1978
 
3.0%
캐 1960
 
3.0%
대 1870
 
2.8%
경 1343
 
2.0%
기 1340
 
2.0%
전 1261
 
1.9%
림 1123
 
1.7%
올 1123
 
1.7%
Other values (250) 48930
74.3%
Common
ValueCountFrequency (%)
5321
53.2%
. 3512
35.1%
3 280
 
2.8%
1 225
 
2.2%
2 165
 
1.6%
) 126
 
1.3%
( 126
 
1.3%
7 67
 
0.7%
？ 66
 
0.7%
0 41
 
0.4%
Other values (6) 77
 
0.8%
Latin
ValueCountFrequency (%)
A 247
30.4%
L 247
30.4%
c 119
14.6%
C 67
 
8.2%
K 25
 
3.1%
T 25
 
3.1%
P 15
 
1.8%
l 15
 
1.8%
e 15
 
1.8%
B 15
 
1.8%
Other values (2) 23
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 65828
85.9%
ASCII 10753
 
14.0%
None 66
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5321
49.5%
. 3512
32.7%
3 280
 
2.6%
A 247
 
2.3%
L 247
 
2.3%
1 225
 
2.1%
2 165
 
1.5%
) 126
 
1.2%
( 126
 
1.2%
c 119
 
1.1%
Other values (17) 385
 
3.6%
Hangul
ValueCountFrequency (%)
장 2779
 
4.2%
나 2121
 
3.2%
다 1978
 
3.0%
캐 1960
 
3.0%
대 1870
 
2.8%
경 1343
 
2.0%
기 1340
 
2.0%
전 1261
 
1.9%
림 1123
 
1.7%
올 1123
 
1.7%
Other values (250) 48930
74.3%
None
ValueCountFrequency (%)
？ 66
100.0%

촬영일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

사진등록일
Date

Distinct213
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2001-09-08 00:00:00
Maximum2031-10-12 00:00:00
2023-12-12T17:28:36.916225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:28:37.098207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

사진확장자
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
JPG
9446 
jpg
 
554

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
JPG 9446
94.5%
jpg 554
 
5.5%

Length

2023-12-12T17:28:37.224841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:28:37.318513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
jpg 10000
100.0%

카메라정보
Text

MISSING 

Distinct8358
Distinct (%)89.0%
Missing611
Missing (%)6.1%
Memory size156.2 KiB
2023-12-12T17:28:37.568478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length126
Median length123
Mean length107.34338
Min length55

Characters and Unicode

Total characters1007847
Distinct characters62
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8146 ?
Unique (%)86.8%

Sample

1st rowCanon EOS-1D Mark IV;;2010.02.22 12:41:11;;1/1000초;;F4.0;;1000;;;;400.0mm;;Manual;;Pattern;;사용안함;;2237;;3024;;
2nd row;;;;;;;;0;;;;;;Not defined;;Unknown;;사용안함;;4256;;2847;;
3rd rowCanon EOS-1D Mark III;;2009.08.15 20:50:34;;1/500초;;F2.7;;1600;;;;400.0mm;;Manual;;Pattern;;사용안함;;2943;;2223;;
4th rowCanon EOS-1D Mark III;;2009.11.24 20:47:42;;1/400초;;F2.7;;640;;;;300.0mm;;Manual;;Pattern;;사용안함;;1890;;2298;;
5th row;;;;;;;;0;;;;;;Not defined;;Unknown;;사용안함;;4256;;2847;;
ValueCountFrequency (%)
canon 8259
17.5%
eos-1d 8201
17.4%
mark 8086
17.2%
0;;;;;;not 841
 
1.8%
defined;;unknown;;사용안함;;4256;;2847 680
 
1.4%
priority;;pattern;;사용안함;;4896;;3264 380
 
0.8%
iv;;2010.02.20 379
 
0.8%
iv;;2010.02.19 309
 
0.7%
nikon 283
 
0.6%
iii;;2009.10.22 245
 
0.5%
Other values (10571) 19480
41.3%
2023-12-12T17:28:38.060742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
; 225336
22.4%
0 96522
 
9.6%
1 53580
 
5.3%
2 48496
 
4.8%
37754
 
3.7%
. 36549
 
3.6%
a 36228
 
3.6%
n 33236
 
3.3%
r 26152
 
2.6%
t 25746
 
2.6%
Other values (52) 388248
38.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 321384
31.9%
Other Punctuation 287529
28.5%
Lowercase Letter 210403
20.9%
Uppercase Letter 99776
 
9.9%
Other Letter 42794
 
4.2%
Space Separator 37754
 
3.7%
Dash Punctuation 8207
 
0.8%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 36228
17.2%
n 33236
15.8%
r 26152
12.4%
t 25746
12.2%
m 17167
8.2%
o 13476
 
6.4%
e 12941
 
6.2%
k 9112
 
4.3%
u 8385
 
4.0%
i 8147
 
3.9%
Other values (11) 19813
9.4%
Uppercase Letter
ValueCountFrequency (%)
I 17509
17.5%
M 13370
13.4%
S 11313
11.3%
D 8566
8.6%
F 8548
8.6%
O 8540
8.6%
C 8310
8.3%
P 8279
8.3%
E 8257
8.3%
V 3424
 
3.4%
Other values (10) 3660
 
3.7%
Decimal Number
ValueCountFrequency (%)
0 96522
30.0%
1 53580
16.7%
2 48496
15.1%
4 24328
 
7.6%
3 21002
 
6.5%
5 19198
 
6.0%
8 17659
 
5.5%
6 15643
 
4.9%
9 12677
 
3.9%
7 12279
 
3.8%
Other Letter
ValueCountFrequency (%)
사 9389
21.9%
용 9389
21.9%
초 8548
20.0%
함 7734
18.1%
안 7734
18.1%
Other Punctuation
ValueCountFrequency (%)
; 225336
78.4%
. 36549
 
12.7%
: 17096
 
5.9%
/ 8548
 
3.0%
Space Separator
ValueCountFrequency (%)
37754
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8207
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 654874
65.0%
Latin 310179
30.8%
Hangul 42794
 
4.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 36228
 
11.7%
n 33236
 
10.7%
r 26152
 
8.4%
t 25746
 
8.3%
I 17509
 
5.6%
m 17167
 
5.5%
o 13476
 
4.3%
M 13370
 
4.3%
e 12941
 
4.2%
S 11313
 
3.6%
Other values (31) 103041
33.2%
Common
ValueCountFrequency (%)
; 225336
34.4%
0 96522
14.7%
1 53580
 
8.2%
2 48496
 
7.4%
37754
 
5.8%
. 36549
 
5.6%
4 24328
 
3.7%
3 21002
 
3.2%
5 19198
 
2.9%
8 17659
 
2.7%
Other values (6) 74450
 
11.4%
Hangul
ValueCountFrequency (%)
사 9389
21.9%
용 9389
21.9%
초 8548
20.0%
함 7734
18.1%
안 7734
18.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 965053
95.8%
Hangul 42794
 
4.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
; 225336
23.3%
0 96522
 
10.0%
1 53580
 
5.6%
2 48496
 
5.0%
37754
 
3.9%
. 36549
 
3.8%
a 36228
 
3.8%
n 33236
 
3.4%
r 26152
 
2.7%
t 25746
 
2.7%
Other values (47) 345454
35.8%
Hangul
ValueCountFrequency (%)
사 9389
21.9%
용 9389
21.9%
초 8548
20.0%
함 7734
18.1%
안 7734
18.1%

Missing values

2023-12-12T17:28:31.802947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:28:32.032362image/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.
2023-12-12T17:28:32.168566image/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

사진URL카테고리정보사진제목사진파일이름사진내용촬영장소촬영일자사진등록일사진확장자카메라정보
20620https://www.sportal.or.kr/info/photoView.do?fileGroupNo=AF2010040015&fileSeq=341국제종합경기대회-동계올림픽대회,종목별보기-피겨2010밴쿠버동계올림픽 아이스댄싱(2010년2월)I88C7624.JPG2010밴쿠버동계올림픽 아이스댄싱.캐나다밴쿠버.<NA>10/04/19JPGCanon EOS-1D Mark IV;;2010.02.22 12:41:11;;1/1000초;;F4.0;;1000;;;;400.0mm;;Manual;;Pattern;;사용안함;;2237;;3024;;
25532https://www.sportal.or.kr/info/photoView.do?fileGroupNo=AF2015090019&fileSeq=317국제종합경기대회-하계올림픽대회1984 제23회하계올림픽대회 선수촌 이모저모LA선수촌 (317).JPG1984 제23회하계올림픽대회 선수촌 이모저모미국LA<NA>15/09/22JPG;;;;;;;;0;;;;;;Not defined;;Unknown;;사용안함;;4256;;2847;;
3783https://www.sportal.or.kr/info/photoView.do?fileGroupNo=AF2009080029&fileSeq=102종목별보기-피겨삼성애니콜-하우젠 아이스올스타 2009 (2009년8월14-16일)9G2Q9187.JPG아이스쑈올림픽체조경기장<NA>09/08/19JPGCanon EOS-1D Mark III;;2009.08.15 20:50:34;;1/500초;;F2.7;;1600;;;;400.0mm;;Manual;;Pattern;;사용안함;;2943;;2223;;
5810https://www.sportal.or.kr/info/photoView.do?fileGroupNo=AF2009110037&fileSeq=107기타대회-세계선수권대회,종목별보기-역도2009 세계역도선수권대회(남자77KG)사재혁-용상금메달(2009년 11월 24일)JNS_0628.JPG2009 세계역도선수권대회(남자77KG)사재혁-용상금메달경기도 고양시 킨텍스<NA>09/11/28JPGCanon EOS-1D Mark III;;2009.11.24 20:47:42;;1/400초;;F2.7;;640;;;;300.0mm;;Manual;;Pattern;;사용안함;;1890;;2298;;
24847https://www.sportal.or.kr/info/photoView.do?fileGroupNo=AF2015090019&fileSeq=151국제종합경기대회-하계올림픽대회1984 제23회하계올림픽대회 선수촌 이모저모LA선수촌 (151).JPG1984 제23회하계올림픽대회 선수촌 이모저모미국LA<NA>15/09/22JPG;;;;;;;;0;;;;;;Not defined;;Unknown;;사용안함;;4256;;2847;;
2109https://www.sportal.or.kr/info/photoView.do?fileGroupNo=AF2009100014&fileSeq=29종목별보기-스피드스케이팅,국내종합경기대회-전국동계체육대회2007동계체육대회(2007년2월23일)QA4I4478.JPG2007동계체전 스피드스케이팅.태릉국제스케이트장<NA>09/10/14JPGCanon EOS-1D Mark II N;;2007.02.23 14:21:07;;1/320초;;F2.7;;800;;;;300.0mm;;Manual;;Pattern;;사용안함;;1252;;1779;;
1016https://www.sportal.or.kr/info/photoView.do?fileGroupNo=AF2009090034&fileSeq=104종목별보기-빙상,기타대회-월드컵경기2009/2010 ISU 서울쇼트트랙 월드컵대회(2009.9.24~9.27)JNS_7138.JPG2009/2010 ISU 서울쇼트트랙 월드컵대회목동실내빙상경기장<NA>09/09/29JPGCanon EOS-1D Mark III;;2009.09.25 15:28:59;;1/500초;;F2.7;;800;;;;300.0mm;;Manual;;Pattern;;사용안함;;3534;;2346;;
25406https://www.sportal.or.kr/info/photoView.do?fileGroupNo=AF2010030016&fileSeq=131국제종합경기대회-동계올림픽대회,종목별보기-크로스컨트리2010밴쿠버동계올림픽 크로스컨트리(2010년2월)I88C5652.JPG2010밴쿠버동계올림픽 크로스컨트리.캐나다 휘슬러<NA>10/03/30JPGCanon EOS-1D Mark IV;;2010.02.20 06:06:37;;1/1000초;;F8.0;;200;;;;400.0mm;;Shutter priority;;Pattern;;사용안함;;4896;;3264;;
20903https://www.sportal.or.kr/info/photoView.do?fileGroupNo=AF2010050011&fileSeq=232종목별보기-골프,기타대회-국내대회2010 두산 매치플레이 챔피언십 골프(2010년5월19일)I88C2700.JPG2010 두산 매치플레이 챔피언십 여자골프.라데나 골프 클럽(춘천)<NA>10/05/25JPGCanon EOS-1D Mark IV;;2010.05.22 13:03:40;;1/1000초;;F2.7;;250;;0.6;;400.0mm;;Shutter priority;;Pattern;;사용안함;;4896;;3264;;
12459https://www.sportal.or.kr/info/photoView.do?fileGroupNo=AF2010030011&fileSeq=380국제종합경기대회-동계올림픽대회,종목별보기-컬링2010밴쿠버 동계올림픽 (2010년 2월)I88C8201.JPG2010밴쿠버 동계올림픽 여자컬링경기캐나다 휘슬러<NA>10/03/29JPGCanon EOS-1D Mark IV;;2010.02.20 13:51:30;;1/1000초;;F2.7;;800;;0.3;;400.0mm;;Shutter priority;;Pattern;;사용안함;;4320;;2880;;
사진URL카테고리정보사진제목사진파일이름사진내용촬영장소촬영일자사진등록일사진확장자카메라정보
20704https://www.sportal.or.kr/info/photoView.do?fileGroupNo=AF2010040015&fileSeq=170국제종합경기대회-동계올림픽대회,종목별보기-피겨2010밴쿠버동계올림픽 아이스댄싱(2010년2월)I88C6276.JPG2010밴쿠버동계올림픽 아이스댄싱.캐나다밴쿠버.<NA>10/04/19JPGCanon EOS-1D Mark IV;;2010.02.22 11:01:14;;1/1000초;;F4.0;;800;;;;400.0mm;;Manual;;Pattern;;사용안함;;2416;;3540;;
17517https://www.sportal.or.kr/info/photoView.do?fileGroupNo=AF2010030021&fileSeq=990국제종합경기대회-동계올림픽대회,종목별보기-아이스하키2010밴쿠버동계올림픽(2010년 2월)I88C9023.JPG2010밴쿠버동계올림픽 아이스하키경기캐나다휘슬러<NA>10/04/06JPGCanon EOS-1D Mark IV;;2010.02.18 05:22:33;;1/800초;;F4.0;;1000;;;;300.0mm;;Manual;;Pattern;;사용안함;;4896;;3264;;
26117https://www.sportal.or.kr/info/photoView.do?fileGroupNo=AF2010040006&fileSeq=48국제종합경기대회-동계올림픽대회,종목별보기-스피드스케이팅2010밴쿠버동계올림픽 스피드스케이팅시설및 관중(2010년2월)9G2Q4650.JPG20110밴쿠버동계올림픽 스피드스케이팅 시설및 관중석표정.캐나다밴쿠버.<NA>10/04/06JPGCanon EOS-1D Mark III;;2010.02.16 09:58:40;;1/800초;;F4.0;;1000;;;;16.0mm;;Manual;;Partial;;사용안함;;3888;;2592;;
3146https://www.sportal.or.kr/info/photoView.do?fileGroupNo=AF2009080006&fileSeq=29종목별보기-펜싱,국제종합경기대회-하계유니버시아드대회제25회 베오그라드 하계U대회 펜싱9G2Q2798.JPG제25회 베오그라드 하계U대회 펜싱 경기 모음세르비아 베오그라드<NA>09/08/01JPGCanon EOS-1D Mark III;;2009.07.04 03:23:03;;1/250초;;F2.7;;800;;;;148.0mm;;Manual;;Pattern;;사용안함;;3003;;1806;;
7866https://www.sportal.or.kr/info/photoView.do?fileGroupNo=AF2009110033&fileSeq=40주요행사-대한체육회 국내행사제21기 KOC 올림픽아카데미 정규과정(2009.11.20~22 )JNS_7633.JPG제21기 KOC 올림픽아카데미 정규과정수안보 파크호텔<NA>09/11/23JPGCanon EOS-1D Mark III;;2009.11.21 16:08:41;;1/800초;;F3.5;;500;;;;70.0mm;;Manual;;Pattern;;사용안함;;2778;;1836;;
24574https://www.sportal.or.kr/info/photoView.do?fileGroupNo=AF2014040009&fileSeq=11한국스포츠역사-1960~19691966년 행사059.JPG1966년 행사서울<NA>14/04/16JPG;;;;;;;;0;;;;;;Not defined;;Unknown;;사용안함;;4256;;2847;;
12740https://www.sportal.or.kr/info/photoView.do?fileGroupNo=AF2014040008&fileSeq=316한국스포츠역사-1980~80년도 행사 및 경기.317.JPG80년도 행사 및 경기.서울<NA>14/04/16JPG;;;;;;;;0;;;;;;Not defined;;Unknown;;사용안함;;4256;;2847;;
13693https://www.sportal.or.kr/info/photoView.do?fileGroupNo=AF2010080006&fileSeq=46주요행사-대한체육회 국내행사,국내종합경기대회-전국소년체육대회전국소년체육대회DSC_0040-2.jpg제39회 전국소년체육대회 개막식대전<NA>10/08/12jpgNIKON D2Xs;;2010.08.10 10:39:31;;8/1000초;;F2.7;;640;;;;42.0mm;;Shutter priority;;Pattern;;사용;;2772;;1878;;
24166https://www.sportal.or.kr/info/photoView.do?fileGroupNo=AF2010070007&fileSeq=26주요행사-대한체육회 국내행사대한체육회 창립90주년 기념식 (2010년7월12일)I88C1951.JPG대한체육회 창립90주년 기념식.올림픽 파크텔.<NA>10/07/14JPGCanon EOS-1D Mark IV;;2010.07.12 17:28:45;;1/160초;;F4.0;;800;;0.6;;24.0mm;;Shutter priority;;Pattern;;사용;;4320;;2880;;
2818https://www.sportal.or.kr/info/photoView.do?fileGroupNo=AF2009080007&fileSeq=11종목별보기-수영,국제종합경기대회-하계유니버시아드대회제25회 베오그라드 하계U대회 수구9G2Q6076.JPG제25회 베오그라드 하계U대회 수구 경기 모음세르비아 베오그라드<NA>09/08/01JPGCanon EOS-1D Mark III;;2009.07.01 20:07:13;;1/1000초;;F2.7;;500;;;;400.0mm;;Manual;;Pattern;;사용안함;;2122;;1354;;