Overview

Dataset statistics

Number of variables21
Number of observations6756
Missing cells17037
Missing cells (%)12.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.1 MiB
Average record size in memory170.0 B

Variable types

Numeric1
Categorical6
Text14

Dataset

Description1,2차 울산 도시경관기록 사업을 통해 촬영된 사진을 선별하여 공개하기로 한 사진에 대한 검색용 데이터로 촬영일, 촬영GPS, 검색용 태그 등을 제공합니다.
URLhttps://www.data.go.kr/data/15095643/fileData.do

Alerts

촬영지점 is highly imbalanced (51.2%)Imbalance
경관기록대상 has 2714 (40.2%) missing valuesMissing
매핑코드 has 4649 (68.8%) missing valuesMissing
표준기록점 코드 has 3420 (50.6%) missing valuesMissing
위도 has 2314 (34.3%) missing valuesMissing
경도 has 2316 (34.3%) missing valuesMissing
카메라 has 442 (6.5%) missing valuesMissing
포커스 has 469 (6.9%) missing valuesMissing
노출 has 470 (7.0%) missing valuesMissing
촬영일 has 241 (3.6%) missing valuesMissing
관리번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 10:36:10.939033
Analysis finished2023-12-12 10:36:13.006645
Duration2.07 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

관리번호
Real number (ℝ)

UNIQUE 

Distinct6756
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34913.624
Minimum31534
Maximum38292
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size59.5 KiB
2023-12-12T19:36:13.116137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum31534
5-th percentile31871.75
Q133224.75
median34913.5
Q336603.25
95-th percentile37954.25
Maximum38292
Range6758
Interquartile range (IQR)3378.5

Descriptive statistics

Standard deviation1951.3491
Coefficient of variation (CV)0.055890764
Kurtosis-1.1999802
Mean34913.624
Median Absolute Deviation (MAD)1689.5
Skewness-0.00048287999
Sum2.3587644 × 108
Variance3807763.3
MonotonicityNot monotonic
2023-12-12T19:36:13.884129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
38292 1
 
< 0.1%
36126 1
 
< 0.1%
36148 1
 
< 0.1%
36149 1
 
< 0.1%
36146 1
 
< 0.1%
36147 1
 
< 0.1%
36145 1
 
< 0.1%
36144 1
 
< 0.1%
36139 1
 
< 0.1%
36142 1
 
< 0.1%
Other values (6746) 6746
99.9%
ValueCountFrequency (%)
31534 1
< 0.1%
31535 1
< 0.1%
31536 1
< 0.1%
31537 1
< 0.1%
31538 1
< 0.1%
31539 1
< 0.1%
31540 1
< 0.1%
31541 1
< 0.1%
31542 1
< 0.1%
31543 1
< 0.1%
ValueCountFrequency (%)
38292 1
< 0.1%
38291 1
< 0.1%
38290 1
< 0.1%
38289 1
< 0.1%
38288 1
< 0.1%
38287 1
< 0.1%
38286 1
< 0.1%
38285 1
< 0.1%
38284 1
< 0.1%
38283 1
< 0.1%

사업회차
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size52.9 KiB
2
5075 
1
1681 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
2 5075
75.1%
1 1681
 
24.9%

Length

2023-12-12T19:36:14.164350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:36:14.391169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 5075
75.1%
1 1681
 
24.9%

구-군
Categorical

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size52.9 KiB
<NA>
2402 
울주군
1570 
남구
1102 
중구
823 
북구
455 

Length

Max length4
Median length3
Mean length2.9434577
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> 2402
35.6%
울주군 1570
23.2%
남구 1102
16.3%
중구 823
 
12.2%
북구 455
 
6.7%
동구 404
 
6.0%

Length

2023-12-12T19:36:14.633728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:36:14.847537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2402
35.6%
울주군 1570
23.2%
남구 1102
16.3%
중구 823
 
12.2%
북구 455
 
6.7%
동구 404
 
6.0%

대분류
Categorical

Distinct22
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size52.9 KiB
태화강 연도별
2023 
시가지경관
904 
도시기반시설경관
780 
건축물
736 
자연경관
456 
Other values (17)
1857 

Length

Max length10
Median length9
Mean length6.0044405
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row태화강 연도별
2nd row태화강 연도별
3rd row태화강 연도별
4th row태화강 연도별
5th row태화강 연도별

Common Values

ValueCountFrequency (%)
태화강 연도별 2023
29.9%
시가지경관 904
13.4%
도시기반시설경관 780
 
11.5%
건축물 736
 
10.9%
자연경관 456
 
6.7%
농산어촌경관 401
 
5.9%
시대별 울산 281
 
4.2%
산업지역경관 234
 
3.5%
신개발지 182
 
2.7%
역사문화경관 176
 
2.6%
Other values (12) 583
 
8.6%

Length

2023-12-12T19:36:15.090347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
태화강 2044
21.7%
연도별 2023
21.4%
시가지경관 904
9.6%
도시기반시설경관 780
 
8.3%
건축물 736
 
7.8%
자연경관 456
 
4.8%
농산어촌경관 401
 
4.2%
시대별 281
 
3.0%
울산 281
 
3.0%
산업지역경관 234
 
2.5%
Other values (19) 1299
13.8%

중분류
Text

Distinct83
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size52.9 KiB
2023-12-12T19:36:15.481817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length6.6188573
Min length1

Characters and Unicode

Total characters44717
Distinct characters135
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2016년~2020년
2nd row2016년~2020년
3rd row2016년~2020년
4th row2016년~2020년
5th row2016년~2020년
ValueCountFrequency (%)
2006년~2010년 994
 
13.8%
2016년~2020년 435
 
6.0%
시가지전경(항공 427
 
5.9%
2011년~2015년 385
 
5.3%
도로 334
 
4.6%
공공시설 257
 
3.6%
농촌 220
 
3.1%
주거지(저층 193
 
2.7%
주거지(고층 185
 
2.6%
하천 178
 
2.5%
Other values (92) 3590
49.9%
2023-12-12T19:36:16.096403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6847
 
15.3%
2 4411
 
9.9%
년 4327
 
9.7%
1 3214
 
7.2%
~ 2023
 
4.5%
6 1608
 
3.6%
지 1500
 
3.4%
시 1369
 
3.1%
공 1068
 
2.4%
) 1064
 
2.4%
Other values (125) 17286
38.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 22453
50.2%
Decimal Number 17468
39.1%
Math Symbol 2023
 
4.5%
Close Punctuation 1064
 
2.4%
Open Punctuation 1064
 
2.4%
Space Separator 442
 
1.0%
Other Punctuation 203
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
년 4327
19.3%
지 1500
 
6.7%
시 1369
 
6.1%
공 1068
 
4.8%
설 840
 
3.7%
항 632
 
2.8%
경 630
 
2.8%
가 592
 
2.6%
산 502
 
2.2%
전 486
 
2.2%
Other values (110) 10507
46.8%
Decimal Number
ValueCountFrequency (%)
0 6847
39.2%
2 4411
25.3%
1 3214
18.4%
6 1608
 
9.2%
9 616
 
3.5%
5 483
 
2.8%
4 111
 
0.6%
3 111
 
0.6%
8 46
 
0.3%
7 21
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 2023
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1064
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1064
100.0%
Space Separator
ValueCountFrequency (%)
442
100.0%
Other Punctuation
ValueCountFrequency (%)
, 203
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 22453
50.2%
Common 22264
49.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
년 4327
19.3%
지 1500
 
6.7%
시 1369
 
6.1%
공 1068
 
4.8%
설 840
 
3.7%
항 632
 
2.8%
경 630
 
2.8%
가 592
 
2.6%
산 502
 
2.2%
전 486
 
2.2%
Other values (110) 10507
46.8%
Common
ValueCountFrequency (%)
0 6847
30.8%
2 4411
19.8%
1 3214
14.4%
~ 2023
 
9.1%
6 1608
 
7.2%
) 1064
 
4.8%
( 1064
 
4.8%
9 616
 
2.8%
5 483
 
2.2%
442
 
2.0%
Other values (5) 492
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 22453
50.2%
ASCII 22264
49.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6847
30.8%
2 4411
19.8%
1 3214
14.4%
~ 2023
 
9.1%
6 1608
 
7.2%
) 1064
 
4.8%
( 1064
 
4.8%
9 616
 
2.8%
5 483
 
2.2%
442
 
2.0%
Other values (5) 492
 
2.2%
Hangul
ValueCountFrequency (%)
년 4327
19.3%
지 1500
 
6.7%
시 1369
 
6.1%
공 1068
 
4.8%
설 840
 
3.7%
항 632
 
2.8%
경 630
 
2.8%
가 592
 
2.6%
산 502
 
2.2%
전 486
 
2.2%
Other values (110) 10507
46.8%

경관기록대상
Text

MISSING 

Distinct714
Distinct (%)17.7%
Missing2714
Missing (%)40.2%
Memory size52.9 KiB
2023-12-12T19:36:16.586389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length15
Mean length5.5517071
Min length1

Characters and Unicode

Total characters22440
Distinct characters354
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique218 ?
Unique (%)5.4%

Sample

1st row가지산
2nd row가지산
3rd row가지산
4th row가지산
5th row가지산
ValueCountFrequency (%)
기타 410
 
7.3%
중구 246
 
4.4%
남구 239
 
4.3%
북구 162
 
2.9%
울산미포국가산단 102
 
1.8%
기타_1차 100
 
1.8%
울주 94
 
1.7%
동구 88
 
1.6%
태화강 84
 
1.5%
울주범서 82
 
1.5%
Other values (752) 3992
71.3%
2023-12-12T19:36:17.274992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1557
 
6.9%
산 1074
 
4.8%
동 979
 
4.4%
구 952
 
4.2%
울 900
 
4.0%
기 563
 
2.5%
타 527
 
2.3%
주 484
 
2.2%
남 400
 
1.8%
중 329
 
1.5%
Other values (344) 14675
65.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 20079
89.5%
Space Separator 1557
 
6.9%
Uppercase Letter 268
 
1.2%
Decimal Number 209
 
0.9%
Other Punctuation 157
 
0.7%
Connector Punctuation 118
 
0.5%
Open Punctuation 26
 
0.1%
Close Punctuation 26
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 1074
 
5.3%
동 979
 
4.9%
구 952
 
4.7%
울 900
 
4.5%
기 563
 
2.8%
타 527
 
2.6%
주 484
 
2.4%
남 400
 
2.0%
중 329
 
1.6%
리 317
 
1.6%
Other values (321) 13554
67.5%
Uppercase Letter
ValueCountFrequency (%)
C 122
45.5%
K 33
 
12.3%
T 26
 
9.7%
I 25
 
9.3%
X 20
 
7.5%
B 11
 
4.1%
S 10
 
3.7%
U 10
 
3.7%
N 6
 
2.2%
M 3
 
1.1%
Other values (2) 2
 
0.7%
Decimal Number
ValueCountFrequency (%)
1 145
69.4%
2 20
 
9.6%
4 19
 
9.1%
7 11
 
5.3%
3 10
 
4.8%
5 4
 
1.9%
Space Separator
ValueCountFrequency (%)
1557
100.0%
Other Punctuation
ValueCountFrequency (%)
, 157
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 118
100.0%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 20079
89.5%
Common 2093
 
9.3%
Latin 268
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 1074
 
5.3%
동 979
 
4.9%
구 952
 
4.7%
울 900
 
4.5%
기 563
 
2.8%
타 527
 
2.6%
주 484
 
2.4%
남 400
 
2.0%
중 329
 
1.6%
리 317
 
1.6%
Other values (321) 13554
67.5%
Latin
ValueCountFrequency (%)
C 122
45.5%
K 33
 
12.3%
T 26
 
9.7%
I 25
 
9.3%
X 20
 
7.5%
B 11
 
4.1%
S 10
 
3.7%
U 10
 
3.7%
N 6
 
2.2%
M 3
 
1.1%
Other values (2) 2
 
0.7%
Common
ValueCountFrequency (%)
1557
74.4%
, 157
 
7.5%
1 145
 
6.9%
_ 118
 
5.6%
( 26
 
1.2%
) 26
 
1.2%
2 20
 
1.0%
4 19
 
0.9%
7 11
 
0.5%
3 10
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 20079
89.5%
ASCII 2361
 
10.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1557
65.9%
, 157
 
6.6%
1 145
 
6.1%
C 122
 
5.2%
_ 118
 
5.0%
K 33
 
1.4%
( 26
 
1.1%
) 26
 
1.1%
T 26
 
1.1%
I 25
 
1.1%
Other values (13) 126
 
5.3%
Hangul
ValueCountFrequency (%)
산 1074
 
5.3%
동 979
 
4.9%
구 952
 
4.7%
울 900
 
4.5%
기 563
 
2.8%
타 527
 
2.6%
주 484
 
2.4%
남 400
 
2.0%
중 329
 
1.6%
리 317
 
1.6%
Other values (321) 13554
67.5%

촬영지점
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size52.9 KiB
1
4072 
<NA>
2680 
 
3
2
 
1

Length

Max length4
Median length1
Mean length2.1900533
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
1 4072
60.3%
<NA> 2680
39.7%
3
 
< 0.1%
2 1
 
< 0.1%

Length

2023-12-12T19:36:17.459177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:36:17.601071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 4072
60.3%
na 2680
39.7%
2 1
 
< 0.1%

시점
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size52.9 KiB
현재
4073 
주요울산
2190 
과거
 
281
미래
 
212

Length

Max length4
Median length2
Mean length2.6483126
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
현재 4073
60.3%
주요울산 2190
32.4%
과거 281
 
4.2%
미래 212
 
3.1%

Length

2023-12-12T19:36:17.770624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:36:17.901613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
현재 4073
60.3%
주요울산 2190
32.4%
과거 281
 
4.2%
미래 212
 
3.1%

매핑코드
Text

MISSING 

Distinct918
Distinct (%)43.6%
Missing4649
Missing (%)68.8%
Memory size52.9 KiB
2023-12-12T19:36:18.166744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length18
Mean length15.694352
Min length1

Characters and Unicode

Total characters33068
Distinct characters33
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique40 ?
Unique (%)1.9%

Sample

1st row
2nd row
3rd row
4th rowPA-1959-005
5th rowPA-1959-003
ValueCountFrequency (%)
01-n-nl-nm-016-003 7
 
0.3%
02-n-ls-ll-001-005 7
 
0.3%
02-j-ui-ir-053-003 6
 
0.3%
02-u-nl-nr-001-028 6
 
0.3%
02-d-al-lp-006-004 6
 
0.3%
02-d-ui-ie-004-003 6
 
0.3%
02-b-al-af-019-002 6
 
0.3%
02-n-ls-ll-002-003 6
 
0.3%
02-n-cl-cs-021-003 6
 
0.3%
02-d-te-pt-002-004 5
 
0.2%
Other values (907) 2043
97.1%
2023-12-12T19:36:18.621814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 8596
26.0%
0 7931
24.0%
2 2304
 
7.0%
1 1815
 
5.5%
L 1260
 
3.8%
U 1203
 
3.6%
P 1180
 
3.6%
A 1163
 
3.5%
3 768
 
2.3%
N 718
 
2.2%
Other values (23) 6130
18.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 15712
47.5%
Uppercase Letter 8757
26.5%
Dash Punctuation 8596
26.0%
Space Separator 3
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
L 1260
14.4%
U 1203
13.7%
P 1180
13.5%
A 1163
13.3%
N 718
8.2%
I 640
7.3%
C 555
6.3%
J 412
 
4.7%
R 287
 
3.3%
H 284
 
3.2%
Other values (11) 1055
12.0%
Decimal Number
ValueCountFrequency (%)
0 7931
50.5%
2 2304
 
14.7%
1 1815
 
11.6%
3 768
 
4.9%
5 682
 
4.3%
9 670
 
4.3%
4 488
 
3.1%
6 431
 
2.7%
7 379
 
2.4%
8 244
 
1.6%
Dash Punctuation
ValueCountFrequency (%)
- 8596
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 24311
73.5%
Latin 8757
 
26.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
L 1260
14.4%
U 1203
13.7%
P 1180
13.5%
A 1163
13.3%
N 718
8.2%
I 640
7.3%
C 555
6.3%
J 412
 
4.7%
R 287
 
3.3%
H 284
 
3.2%
Other values (11) 1055
12.0%
Common
ValueCountFrequency (%)
- 8596
35.4%
0 7931
32.6%
2 2304
 
9.5%
1 1815
 
7.5%
3 768
 
3.2%
5 682
 
2.8%
9 670
 
2.8%
4 488
 
2.0%
6 431
 
1.8%
7 379
 
1.6%
Other values (2) 247
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33068
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 8596
26.0%
0 7931
24.0%
2 2304
 
7.0%
1 1815
 
5.5%
L 1260
 
3.8%
U 1203
 
3.6%
P 1180
 
3.6%
A 1163
 
3.5%
3 768
 
2.3%
N 718
 
2.2%
Other values (23) 6130
18.5%

표준기록점 코드
Text

MISSING 

Distinct2333
Distinct (%)69.9%
Missing3420
Missing (%)50.6%
Memory size52.9 KiB
2023-12-12T19:36:18.912580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length18
Mean length17.985312
Min length1

Characters and Unicode

Total characters59999
Distinct characters33
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1621 ?
Unique (%)48.6%

Sample

1st row
2nd row
3rd row
4th row02-D-CL-CS-002-006
5th row02-J-UL-RL-001-010
ValueCountFrequency (%)
02-d-al-lp-006-004 8
 
0.2%
01-n-nl-nm-016-003 7
 
0.2%
02-n-cl-cs-021-003 6
 
0.2%
02-d-ui-ie-004-003 6
 
0.2%
02-u-nl-nr-001-028 6
 
0.2%
02-j-ui-ir-053-003 6
 
0.2%
02-d-te-pt-002-004 5
 
0.1%
02-u-al-ap-067-002 5
 
0.1%
02-u-al-ac-008-003 5
 
0.1%
02-n-ls-ll-001-005 5
 
0.1%
Other values (2324) 3276
98.2%
2023-12-12T19:36:19.461772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 16665
27.8%
0 14800
24.7%
2 4720
 
7.9%
U 3060
 
5.1%
1 2948
 
4.9%
L 2603
 
4.3%
N 1786
 
3.0%
A 1312
 
2.2%
I 1257
 
2.1%
3 1092
 
1.8%
Other values (23) 9756
16.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 26814
44.7%
Dash Punctuation 16665
27.8%
Uppercase Letter 16515
27.5%
Space Separator 5
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
U 3060
18.5%
L 2603
15.8%
N 1786
10.8%
A 1312
7.9%
I 1257
7.6%
C 1005
 
6.1%
P 981
 
5.9%
R 688
 
4.2%
J 640
 
3.9%
H 597
 
3.6%
Other values (11) 2586
15.7%
Decimal Number
ValueCountFrequency (%)
0 14800
55.2%
2 4720
 
17.6%
1 2948
 
11.0%
3 1092
 
4.1%
4 829
 
3.1%
5 704
 
2.6%
6 588
 
2.2%
7 456
 
1.7%
9 346
 
1.3%
8 331
 
1.2%
Dash Punctuation
ValueCountFrequency (%)
- 16665
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 43484
72.5%
Latin 16515
 
27.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
U 3060
18.5%
L 2603
15.8%
N 1786
10.8%
A 1312
7.9%
I 1257
7.6%
C 1005
 
6.1%
P 981
 
5.9%
R 688
 
4.2%
J 640
 
3.9%
H 597
 
3.6%
Other values (11) 2586
15.7%
Common
ValueCountFrequency (%)
- 16665
38.3%
0 14800
34.0%
2 4720
 
10.9%
1 2948
 
6.8%
3 1092
 
2.5%
4 829
 
1.9%
5 704
 
1.6%
6 588
 
1.4%
7 456
 
1.0%
9 346
 
0.8%
Other values (2) 336
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 59999
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 16665
27.8%
0 14800
24.7%
2 4720
 
7.9%
U 3060
 
5.1%
1 2948
 
4.9%
L 2603
 
4.3%
N 1786
 
3.0%
A 1312
 
2.2%
I 1257
 
2.1%
3 1092
 
1.8%
Other values (23) 9756
16.3%

위도
Text

MISSING 

Distinct3288
Distinct (%)74.0%
Missing2314
Missing (%)34.3%
Memory size52.9 KiB
2023-12-12T19:36:19.882902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length11
Mean length10.59005
Min length1

Characters and Unicode

Total characters47041
Distinct characters13
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

Unique2328 ?
Unique (%)52.4%

Sample

1st row
2nd row
3rd row
4th row35.48286861
5th row35.55638889
ValueCountFrequency (%)
35.57122876 6
 
0.1%
35.61834 5
 
0.1%
35.57106 5
 
0.1%
35.53812833 5
 
0.1%
35.562935 5
 
0.1%
35.56340833 5
 
0.1%
35.55335167 5
 
0.1%
35.56089333 5
 
0.1%
35.54787 5
 
0.1%
35.57043833 4
 
0.1%
Other values (3278) 4391
98.9%
2023-12-12T19:36:20.477113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 10387
22.1%
3 8794
18.7%
. 4441
9.4%
6 3934
 
8.4%
4 3470
 
7.4%
7 3129
 
6.7%
8 2843
 
6.0%
1 2793
 
5.9%
2 2603
 
5.5%
9 2542
 
5.4%
Other values (3) 2105
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 42593
90.5%
Other Punctuation 4443
 
9.4%
Space Separator 5
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 10387
24.4%
3 8794
20.6%
6 3934
 
9.2%
4 3470
 
8.1%
7 3129
 
7.3%
8 2843
 
6.7%
1 2793
 
6.6%
2 2603
 
6.1%
9 2542
 
6.0%
0 2098
 
4.9%
Other Punctuation
ValueCountFrequency (%)
. 4441
> 99.9%
, 2
 
< 0.1%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 47041
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 10387
22.1%
3 8794
18.7%
. 4441
9.4%
6 3934
 
8.4%
4 3470
 
7.4%
7 3129
 
6.7%
8 2843
 
6.0%
1 2793
 
5.9%
2 2603
 
5.5%
9 2542
 
5.4%
Other values (3) 2105
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 47041
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 10387
22.1%
3 8794
18.7%
. 4441
9.4%
6 3934
 
8.4%
4 3470
 
7.4%
7 3129
 
6.7%
8 2843
 
6.0%
1 2793
 
5.9%
2 2603
 
5.5%
9 2542
 
5.4%
Other values (3) 2105
 
4.5%

경도
Text

MISSING 

Distinct3287
Distinct (%)74.0%
Missing2316
Missing (%)34.3%
Memory size52.9 KiB
2023-12-12T19:36:20.916128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length10.733784
Min length1

Characters and Unicode

Total characters47658
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

Unique2328 ?
Unique (%)52.4%

Sample

1st row
2nd row
3rd row
4th row129.4249968
5th row129.3202778
ValueCountFrequency (%)
129.3128967 7
 
0.2%
129.3063611 6
 
0.1%
129.3121034 6
 
0.1%
129.4518133 5
 
0.1%
129.4332053 4
 
0.1%
129.2745843 4
 
0.1%
129.3074917 4
 
0.1%
129.4067533 4
 
0.1%
129.0985867 4
 
0.1%
129.240585 4
 
0.1%
Other values (3276) 4389
98.9%
2023-12-12T19:36:21.517343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 7942
16.7%
1 7657
16.1%
9 6645
13.9%
3 5313
11.1%
. 4437
9.3%
4 3158
 
6.6%
7 2685
 
5.6%
5 2615
 
5.5%
8 2458
 
5.2%
6 2405
 
5.0%
Other values (2) 2343
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 43218
90.7%
Other Punctuation 4437
 
9.3%
Space Separator 3
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 7942
18.4%
1 7657
17.7%
9 6645
15.4%
3 5313
12.3%
4 3158
 
7.3%
7 2685
 
6.2%
5 2615
 
6.1%
8 2458
 
5.7%
6 2405
 
5.6%
0 2340
 
5.4%
Other Punctuation
ValueCountFrequency (%)
. 4437
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 47658
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 7942
16.7%
1 7657
16.1%
9 6645
13.9%
3 5313
11.1%
. 4437
9.3%
4 3158
 
6.6%
7 2685
 
5.6%
5 2615
 
5.5%
8 2458
 
5.2%
6 2405
 
5.0%
Other values (2) 2343
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 47658
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 7942
16.7%
1 7657
16.1%
9 6645
13.9%
3 5313
11.1%
. 4437
9.3%
4 3158
 
6.6%
7 2685
 
5.6%
5 2615
 
5.5%
8 2458
 
5.2%
6 2405
 
5.0%
Other values (2) 2343
 
4.9%

카메라
Text

MISSING 

Distinct53
Distinct (%)0.8%
Missing442
Missing (%)6.5%
Memory size52.9 KiB
2023-12-12T19:36:21.808401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length52
Mean length19.552265
Min length7

Characters and Unicode

Total characters123453
Distinct characters64
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)0.2%

Sample

1st rowCanon Canon EOS-1D X Mark II
2nd rowCanon Canon EOS-1D X Mark II
3rd rowCanon Canon EOS-1D X Mark II
4th rowDJI FC6310
5th rowHasselblad L1D-20c
ValueCountFrequency (%)
canon 4344
22.5%
hasselblad 2122
11.0%
l1d-20c 2108
10.9%
sony 1661
 
8.6%
mark 1535
 
7.9%
eos-1ds 1184
 
6.1%
ilce-6000 969
 
5.0%
iii 941
 
4.9%
ii 594
 
3.1%
eos 514
 
2.7%
Other values (75) 3359
17.4%
2023-12-12T19:36:22.265172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13017
 
10.5%
a 10209
 
8.3%
n 8774
 
7.1%
0 6404
 
5.2%
C 6244
 
5.1%
I 5973
 
4.8%
s 5555
 
4.5%
- 5523
 
4.5%
D 4893
 
4.0%
O 4713
 
3.8%
Other values (54) 52148
42.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 44883
36.4%
Uppercase Letter 44743
36.2%
Decimal Number 15182
 
12.3%
Space Separator 13017
 
10.5%
Dash Punctuation 5523
 
4.5%
Other Punctuation 69
 
0.1%
Other Letter 22
 
< 0.1%
Connector Punctuation 14
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
C 6244
14.0%
I 5973
13.3%
D 4893
10.9%
O 4713
10.5%
S 4448
9.9%
L 3559
8.0%
E 3471
7.8%
N 2522
5.6%
H 2465
 
5.5%
M 1725
 
3.9%
Other values (16) 4730
10.6%
Lowercase Letter
ValueCountFrequency (%)
a 10209
22.7%
n 8774
19.5%
s 5555
12.4%
o 4359
9.7%
l 4244
9.5%
c 2123
 
4.7%
e 2122
 
4.7%
d 2122
 
4.7%
b 2122
 
4.7%
k 1535
 
3.4%
Other values (5) 1718
 
3.8%
Decimal Number
ValueCountFrequency (%)
0 6404
42.2%
1 3786
24.9%
2 2178
 
14.3%
6 982
 
6.5%
5 593
 
3.9%
7 509
 
3.4%
8 297
 
2.0%
3 295
 
1.9%
9 83
 
0.5%
4 55
 
0.4%
Other Letter
ValueCountFrequency (%)
상 4
18.2%
북 4
18.2%
산 4
18.2%
전 4
18.2%
마 2
9.1%
을 2
9.1%
리 2
9.1%
Other Punctuation
ValueCountFrequency (%)
. 38
55.1%
, 25
36.2%
/ 6
 
8.7%
Space Separator
ValueCountFrequency (%)
13017
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5523
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 89626
72.6%
Common 33805
 
27.4%
Hangul 22
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 10209
 
11.4%
n 8774
 
9.8%
C 6244
 
7.0%
I 5973
 
6.7%
s 5555
 
6.2%
D 4893
 
5.5%
O 4713
 
5.3%
S 4448
 
5.0%
o 4359
 
4.9%
l 4244
 
4.7%
Other values (31) 30214
33.7%
Common
ValueCountFrequency (%)
13017
38.5%
0 6404
18.9%
- 5523
16.3%
1 3786
 
11.2%
2 2178
 
6.4%
6 982
 
2.9%
5 593
 
1.8%
7 509
 
1.5%
8 297
 
0.9%
3 295
 
0.9%
Other values (6) 221
 
0.7%
Hangul
ValueCountFrequency (%)
상 4
18.2%
북 4
18.2%
산 4
18.2%
전 4
18.2%
마 2
9.1%
을 2
9.1%
리 2
9.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 123431
> 99.9%
Hangul 22
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13017
 
10.5%
a 10209
 
8.3%
n 8774
 
7.1%
0 6404
 
5.2%
C 6244
 
5.1%
I 5973
 
4.8%
s 5555
 
4.5%
- 5523
 
4.5%
D 4893
 
4.0%
O 4713
 
3.8%
Other values (47) 52126
42.2%
Hangul
ValueCountFrequency (%)
상 4
18.2%
북 4
18.2%
산 4
18.2%
전 4
18.2%
마 2
9.1%
을 2
9.1%
리 2
9.1%

포커스
Text

MISSING 

Distinct148
Distinct (%)2.4%
Missing469
Missing (%)6.9%
Memory size52.9 KiB
2023-12-12T19:36:22.588484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length5
Mean length5.7612534
Min length4

Characters and Unicode

Total characters36221
Distinct characters14
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)0.6%

Sample

1st row70 mm
2nd row70 mm
3rd row70 mm
4th row8.8 mm
5th row10.3 mm
ValueCountFrequency (%)
mm 6287
50.0%
10.3 2105
 
16.7%
16 1139
 
9.1%
24 349
 
2.8%
28 268
 
2.1%
4.3 249
 
2.0%
70 188
 
1.5%
18 176
 
1.4%
35 160
 
1.3%
15 158
 
1.3%
Other values (139) 1495
 
11.9%
2023-12-12T19:36:23.061827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
m 12574
34.7%
6287
17.4%
1 3886
 
10.7%
3 3001
 
8.3%
0 2754
 
7.6%
. 2524
 
7.0%
6 1368
 
3.8%
2 1149
 
3.2%
4 962
 
2.7%
5 694
 
1.9%
Other values (4) 1022
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 14830
40.9%
Lowercase Letter 12574
34.7%
Space Separator 6287
17.4%
Other Punctuation 2530
 
7.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 3886
26.2%
3 3001
20.2%
0 2754
18.6%
6 1368
 
9.2%
2 1149
 
7.7%
4 962
 
6.5%
5 694
 
4.7%
8 575
 
3.9%
7 345
 
2.3%
9 96
 
0.6%
Other Punctuation
ValueCountFrequency (%)
. 2524
99.8%
/ 6
 
0.2%
Lowercase Letter
ValueCountFrequency (%)
m 12574
100.0%
Space Separator
ValueCountFrequency (%)
6287
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 23647
65.3%
Latin 12574
34.7%

Most frequent character per script

Common
ValueCountFrequency (%)
6287
26.6%
1 3886
16.4%
3 3001
12.7%
0 2754
11.6%
. 2524
10.7%
6 1368
 
5.8%
2 1149
 
4.9%
4 962
 
4.1%
5 694
 
2.9%
8 575
 
2.4%
Other values (3) 447
 
1.9%
Latin
ValueCountFrequency (%)
m 12574
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 36221
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
m 12574
34.7%
6287
17.4%
1 3886
 
10.7%
3 3001
 
8.3%
0 2754
 
7.6%
. 2524
 
7.0%
6 1368
 
3.8%
2 1149
 
3.2%
4 962
 
2.7%
5 694
 
1.9%
Other values (4) 1022
 
2.8%

노출
Text

MISSING 

Distinct634
Distinct (%)10.1%
Missing470
Missing (%)7.0%
Memory size52.9 KiB
2023-12-12T19:36:23.353539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length24
Mean length24.141107
Min length1

Characters and Unicode

Total characters151751
Distinct characters31
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

Unique300 ?
Unique (%)4.8%

Sample

1st rowManual, 1/125 sec, ISO 1000
2nd rowManual, 1/125 sec, ISO 1000
3rd rowManual, 1/125 sec, ISO 1000
4th rowAuto, 1/500 sec, ISO 100
5th rowAuto, 1/50 sec, ISO 100
ValueCountFrequency (%)
sec 6278
20.0%
iso 6270
20.0%
auto 5666
18.1%
100 3880
12.4%
400 967
 
3.1%
1/500 895
 
2.9%
1/320 579
 
1.8%
1/400 517
 
1.7%
1/800 458
 
1.5%
1/640 439
 
1.4%
Other values (215) 5363
17.1%
2023-12-12T19:36:23.826737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
25028
16.5%
0 21120
13.9%
, 12494
 
8.2%
1 12176
 
8.0%
e 6430
 
4.2%
c 6430
 
4.2%
/ 6278
 
4.1%
s 6278
 
4.1%
O 6270
 
4.1%
I 6270
 
4.1%
Other values (21) 42977
28.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 43609
28.7%
Lowercase Letter 39165
25.8%
Uppercase Letter 25173
16.6%
Space Separator 25028
16.5%
Other Punctuation 18772
12.4%
Close Punctuation 4
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 6430
16.4%
c 6430
16.4%
s 6278
16.0%
u 6211
15.9%
t 5970
15.2%
o 5818
14.9%
a 938
 
2.4%
n 393
 
1.0%
l 393
 
1.0%
r 152
 
0.4%
Decimal Number
ValueCountFrequency (%)
0 21120
48.4%
1 12176
27.9%
2 2726
 
6.3%
5 2403
 
5.5%
4 2146
 
4.9%
6 1158
 
2.7%
8 1017
 
2.3%
3 780
 
1.8%
9 50
 
0.1%
7 33
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
O 6270
24.9%
I 6270
24.9%
S 6270
24.9%
A 5818
23.1%
M 393
 
1.6%
B 152
 
0.6%
Other Punctuation
ValueCountFrequency (%)
, 12494
66.6%
/ 6278
33.4%
Space Separator
ValueCountFrequency (%)
25028
100.0%
Close Punctuation
ValueCountFrequency (%)
] 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 87413
57.6%
Latin 64338
42.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 6430
10.0%
c 6430
10.0%
s 6278
9.8%
O 6270
9.7%
I 6270
9.7%
S 6270
9.7%
u 6211
9.7%
t 5970
9.3%
A 5818
9.0%
o 5818
9.0%
Other values (7) 2573
4.0%
Common
ValueCountFrequency (%)
25028
28.6%
0 21120
24.2%
, 12494
14.3%
1 12176
13.9%
/ 6278
 
7.2%
2 2726
 
3.1%
5 2403
 
2.7%
4 2146
 
2.5%
6 1158
 
1.3%
8 1017
 
1.2%
Other values (4) 867
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 151751
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
25028
16.5%
0 21120
13.9%
, 12494
 
8.2%
1 12176
 
8.0%
e 6430
 
4.2%
c 6430
 
4.2%
/ 6278
 
4.1%
s 6278
 
4.1%
O 6270
 
4.1%
I 6270
 
4.1%
Other values (21) 42977
28.3%

플래시
Categorical

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size52.9 KiB
AutoMode
3636 
FlashDidNotFire
2549 
<NA>
479 
NoFlashFunction
 
87
FlashFired, CompulsoryFlashMode
 
4

Length

Max length31
Median length8
Mean length10.461516
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st rowAutoMode
2nd rowAutoMode
3rd rowAutoMode
4th rowNoFlashFunction
5th rowFlashDidNotFire

Common Values

ValueCountFrequency (%)
AutoMode 3636
53.8%
FlashDidNotFire 2549
37.7%
<NA> 479
 
7.1%
NoFlashFunction 87
 
1.3%
FlashFired, CompulsoryFlashMode 4
 
0.1%
FlashFired 1
 
< 0.1%

Length

2023-12-12T19:36:24.004515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:36:24.141932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
automode 3636
53.8%
flashdidnotfire 2549
37.7%
na 479
 
7.1%
noflashfunction 87
 
1.3%
flashfired 5
 
0.1%
compulsoryflashmode 4
 
0.1%

촬영일
Text

MISSING 

Distinct4183
Distinct (%)64.2%
Missing241
Missing (%)3.6%
Memory size52.9 KiB
2023-12-12T19:36:24.585984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length16
Mean length15.996316
Min length10

Characters and Unicode

Total characters104216
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2824 ?
Unique (%)43.3%

Sample

1st row2019-11-19 18:22
2nd row2019-11-19 18:08
3rd row2019-11-19 18:12
4th row2019-10-08 14:32
5th row2019-07-28 17:37
ValueCountFrequency (%)
00:00 203
 
1.6%
2015-06-06 181
 
1.4%
2015-03-14 155
 
1.2%
2009-04-27 116
 
0.9%
2020-04-08 105
 
0.8%
2020-05-29 97
 
0.7%
2015-06-07 92
 
0.7%
2020-01-21 89
 
0.7%
2015-06-04 85
 
0.7%
2020-02-07 85
 
0.7%
Other values (1728) 11818
90.7%
2023-12-12T19:36:25.398221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 22490
21.6%
1 16197
15.5%
2 14345
13.8%
- 13030
12.5%
6511
 
6.2%
: 6511
 
6.2%
5 5106
 
4.9%
4 4985
 
4.8%
3 4169
 
4.0%
9 3286
 
3.2%
Other values (3) 7586
 
7.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 78164
75.0%
Dash Punctuation 13030
 
12.5%
Space Separator 6511
 
6.2%
Other Punctuation 6511
 
6.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 22490
28.8%
1 16197
20.7%
2 14345
18.4%
5 5106
 
6.5%
4 4985
 
6.4%
3 4169
 
5.3%
9 3286
 
4.2%
6 2616
 
3.3%
7 2538
 
3.2%
8 2432
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 13030
100.0%
Space Separator
ValueCountFrequency (%)
6511
100.0%
Other Punctuation
ValueCountFrequency (%)
: 6511
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 104216
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 22490
21.6%
1 16197
15.5%
2 14345
13.8%
- 13030
12.5%
6511
 
6.2%
: 6511
 
6.2%
5 5106
 
4.9%
4 4985
 
4.8%
3 4169
 
4.0%
9 3286
 
3.2%
Other values (3) 7586
 
7.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 104216
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 22490
21.6%
1 16197
15.5%
2 14345
13.8%
- 13030
12.5%
6511
 
6.2%
: 6511
 
6.2%
5 5106
 
4.9%
4 4985
 
4.8%
3 4169
 
4.0%
9 3286
 
3.2%
Other values (3) 7586
 
7.3%

제목
Text

Distinct6276
Distinct (%)92.9%
Missing1
Missing (%)< 0.1%
Memory size52.9 KiB
2023-12-12T19:36:25.812913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length32
Mean length11.312953
Min length2

Characters and Unicode

Total characters76419
Distinct characters520
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

Unique5902 ?
Unique (%)87.4%

Sample

1st row삼호철새공원 은행나무정원02 -4
2nd row삼호철새공원 은행나무정원02 -2
3rd row삼호철새공원 은행나무정원02 -3
4th row태화강 삼호지구 조감도
5th row태화강국가정원의 낮
ValueCountFrequency (%)
본 699
 
5.3%
전경 397
 
3.0%
상공에서 268
 
2.0%
태화강 201
 
1.5%
주변 139
 
1.1%
전경_2 127
 
1.0%
전경_1 125
 
0.9%
전경_2020 84
 
0.6%
태화강대공원 80
 
0.6%
태화강대공원의 78
 
0.6%
Other values (5943) 10977
83.3%
2023-12-12T19:36:26.469073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6444
 
8.4%
_ 2360
 
3.1%
0 2325
 
3.0%
화 2314
 
3.0%
1 2044
 
2.7%
2 2022
 
2.6%
태 2007
 
2.6%
경 1862
 
2.4%
강 1844
 
2.4%
산 1725
 
2.3%
Other values (510) 51472
67.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 57894
75.8%
Decimal Number 8007
 
10.5%
Space Separator 6444
 
8.4%
Connector Punctuation 2360
 
3.1%
Open Punctuation 483
 
0.6%
Close Punctuation 481
 
0.6%
Uppercase Letter 368
 
0.5%
Dash Punctuation 216
 
0.3%
Other Punctuation 138
 
0.2%
Lowercase Letter 28
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
화 2314
 
4.0%
태 2007
 
3.5%
경 1862
 
3.2%
강 1844
 
3.2%
산 1725
 
3.0%
전 1692
 
2.9%
지 1655
 
2.9%
공 1576
 
2.7%
서 1207
 
2.1%
동 1156
 
2.0%
Other values (468) 40856
70.6%
Uppercase Letter
ValueCountFrequency (%)
C 132
35.9%
K 41
 
11.1%
B 40
 
10.9%
I 33
 
9.0%
T 32
 
8.7%
X 22
 
6.0%
S 18
 
4.9%
D 10
 
2.7%
M 10
 
2.7%
G 8
 
2.2%
Other values (8) 22
 
6.0%
Decimal Number
ValueCountFrequency (%)
0 2325
29.0%
1 2044
25.5%
2 2022
25.3%
3 379
 
4.7%
9 355
 
4.4%
4 281
 
3.5%
6 170
 
2.1%
5 168
 
2.1%
8 138
 
1.7%
7 125
 
1.6%
Lowercase Letter
ValueCountFrequency (%)
p 6
21.4%
j 6
21.4%
g 6
21.4%
b 4
14.3%
s 2
 
7.1%
u 2
 
7.1%
c 2
 
7.1%
Other Punctuation
ValueCountFrequency (%)
, 125
90.6%
. 13
 
9.4%
Space Separator
ValueCountFrequency (%)
6444
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2360
100.0%
Open Punctuation
ValueCountFrequency (%)
( 483
100.0%
Close Punctuation
ValueCountFrequency (%)
) 481
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 216
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 57894
75.8%
Common 18129
 
23.7%
Latin 396
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
화 2314
 
4.0%
태 2007
 
3.5%
경 1862
 
3.2%
강 1844
 
3.2%
산 1725
 
3.0%
전 1692
 
2.9%
지 1655
 
2.9%
공 1576
 
2.7%
서 1207
 
2.1%
동 1156
 
2.0%
Other values (468) 40856
70.6%
Latin
ValueCountFrequency (%)
C 132
33.3%
K 41
 
10.4%
B 40
 
10.1%
I 33
 
8.3%
T 32
 
8.1%
X 22
 
5.6%
S 18
 
4.5%
D 10
 
2.5%
M 10
 
2.5%
G 8
 
2.0%
Other values (15) 50
 
12.6%
Common
ValueCountFrequency (%)
6444
35.5%
_ 2360
 
13.0%
0 2325
 
12.8%
1 2044
 
11.3%
2 2022
 
11.2%
( 483
 
2.7%
) 481
 
2.7%
3 379
 
2.1%
9 355
 
2.0%
4 281
 
1.6%
Other values (7) 955
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 57894
75.8%
ASCII 18525
 
24.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6444
34.8%
_ 2360
 
12.7%
0 2325
 
12.6%
1 2044
 
11.0%
2 2022
 
10.9%
( 483
 
2.6%
) 481
 
2.6%
3 379
 
2.0%
9 355
 
1.9%
4 281
 
1.5%
Other values (32) 1351
 
7.3%
Hangul
ValueCountFrequency (%)
화 2314
 
4.0%
태 2007
 
3.5%
경 1862
 
3.2%
강 1844
 
3.2%
산 1725
 
3.0%
전 1692
 
2.9%
지 1655
 
2.9%
공 1576
 
2.7%
서 1207
 
2.1%
동 1156
 
2.0%
Other values (468) 40856
70.6%

사진경로
Text

Distinct1216
Distinct (%)18.0%
Missing0
Missing (%)0.0%
Memory size52.9 KiB
2023-12-12T19:36:26.935081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length17
Mean length16.427176
Min length13

Characters and Unicode

Total characters110982
Distinct characters30
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

Unique385 ?
Unique (%)5.7%

Sample

1st row/02/T4/MAT2/M30/
2nd row/02/T4/MAT2/M30/
3rd row/02/T4/MAT2/M30/
4th row/02/T4/MAT2/M30/
5th row/02/T4/MAT2/M30/
ValueCountFrequency (%)
02/t4/mat2/m28 994
 
14.7%
02/t4/mat2/m30 435
 
6.4%
02/t4/mat2/m29 385
 
5.7%
02/t4/mat2/m26 111
 
1.6%
02/t4/mat2/m27 98
 
1.5%
02/t1/pa/1990 73
 
1.1%
01/t2/il/pn/001 62
 
0.9%
01/t2/cl/cf/056 57
 
0.8%
02/t1/pa/2000 46
 
0.7%
01/t2/ui/ir/070 46
 
0.7%
Other values (1206) 4449
65.9%
2023-12-12T19:36:27.598567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 37853
34.1%
0 13989
 
12.6%
2 13914
 
12.5%
T 8975
 
8.1%
M 4597
 
4.1%
A 4122
 
3.7%
1 3935
 
3.5%
L 3362
 
3.0%
4 2883
 
2.6%
U 2191
 
2.0%
Other values (20) 15161
13.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 40123
36.2%
Other Punctuation 37853
34.1%
Uppercase Letter 33006
29.7%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
T 8975
27.2%
M 4597
13.9%
A 4122
12.5%
L 3362
 
10.2%
U 2191
 
6.6%
I 1754
 
5.3%
P 1441
 
4.4%
C 1345
 
4.1%
N 1325
 
4.0%
R 955
 
2.9%
Other values (9) 2939
 
8.9%
Decimal Number
ValueCountFrequency (%)
0 13989
34.9%
2 13914
34.7%
1 3935
 
9.8%
4 2883
 
7.2%
8 1322
 
3.3%
3 1284
 
3.2%
9 1036
 
2.6%
6 644
 
1.6%
5 621
 
1.5%
7 495
 
1.2%
Other Punctuation
ValueCountFrequency (%)
/ 37853
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 77976
70.3%
Latin 33006
29.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
T 8975
27.2%
M 4597
13.9%
A 4122
12.5%
L 3362
 
10.2%
U 2191
 
6.6%
I 1754
 
5.3%
P 1441
 
4.4%
C 1345
 
4.1%
N 1325
 
4.0%
R 955
 
2.9%
Other values (9) 2939
 
8.9%
Common
ValueCountFrequency (%)
/ 37853
48.5%
0 13989
 
17.9%
2 13914
 
17.8%
1 3935
 
5.0%
4 2883
 
3.7%
8 1322
 
1.7%
3 1284
 
1.6%
9 1036
 
1.3%
6 644
 
0.8%
5 621
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 110982
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 37853
34.1%
0 13989
 
12.6%
2 13914
 
12.5%
T 8975
 
8.1%
M 4597
 
4.1%
A 4122
 
3.7%
1 3935
 
3.5%
L 3362
 
3.0%
4 2883
 
2.6%
U 2191
 
2.0%
Other values (20) 15161
13.7%

사진파일명
Text

Distinct6753
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Memory size52.9 KiB
2023-12-12T19:36:27.998001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length23
Mean length21.23579
Min length16

Characters and Unicode

Total characters143469
Distinct characters33
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6750 ?
Unique (%)99.9%

Sample

1st row02-MAT2-M30-530.JPG
2nd row02-MAT2-M30-531.JPG
3rd row02-MAT2-M30-532.JPG
4th row02-MAT2-M30-430.JPG
5th row02-MAT2-M30-431.JPG
ValueCountFrequency (%)
01-n-alae005-01-003.jpg 2
 
< 0.1%
01-n-ulrh012-01-005.jpg 2
 
< 0.1%
01-j-ulrh002-01-001.jpg 2
 
< 0.1%
02-u-lslu004-01-003.jpg 1
 
< 0.1%
02-maa-m19-002.jpg 1
 
< 0.1%
02-mac-m1-016.jpg 1
 
< 0.1%
02-mac-m1-013.jpg 1
 
< 0.1%
02-mac-m1-014.jpg 1
 
< 0.1%
02-mac-m1-012.jpg 1
 
< 0.1%
02-mac-m1-011.jpg 1
 
< 0.1%
Other values (6743) 6743
99.8%
2023-12-12T19:36:28.591012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 27560
19.2%
- 24341
17.0%
2 11691
 
8.1%
1 10344
 
7.2%
P 8197
 
5.7%
J 7476
 
5.2%
G 6931
 
4.8%
. 6756
 
4.7%
M 4597
 
3.2%
A 4122
 
2.9%
Other values (23) 31454
21.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 61781
43.1%
Uppercase Letter 50591
35.3%
Dash Punctuation 24341
 
17.0%
Other Punctuation 6756
 
4.7%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
P 8197
16.2%
J 7476
14.8%
G 6931
13.7%
M 4597
9.1%
A 4122
8.1%
U 3741
7.4%
L 3362
6.6%
N 2306
 
4.6%
T 2219
 
4.4%
I 1754
 
3.5%
Other values (11) 5886
11.6%
Decimal Number
ValueCountFrequency (%)
0 27560
44.6%
2 11691
18.9%
1 10344
 
16.7%
3 2523
 
4.1%
8 2013
 
3.3%
4 1722
 
2.8%
9 1697
 
2.7%
5 1523
 
2.5%
6 1433
 
2.3%
7 1275
 
2.1%
Dash Punctuation
ValueCountFrequency (%)
- 24341
100.0%
Other Punctuation
ValueCountFrequency (%)
. 6756
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 92878
64.7%
Latin 50591
35.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
P 8197
16.2%
J 7476
14.8%
G 6931
13.7%
M 4597
9.1%
A 4122
8.1%
U 3741
7.4%
L 3362
6.6%
N 2306
 
4.6%
T 2219
 
4.4%
I 1754
 
3.5%
Other values (11) 5886
11.6%
Common
ValueCountFrequency (%)
0 27560
29.7%
- 24341
26.2%
2 11691
12.6%
1 10344
 
11.1%
. 6756
 
7.3%
3 2523
 
2.7%
8 2013
 
2.2%
4 1722
 
1.9%
9 1697
 
1.8%
5 1523
 
1.6%
Other values (2) 2708
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 143469
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 27560
19.2%
- 24341
17.0%
2 11691
 
8.1%
1 10344
 
7.2%
P 8197
 
5.7%
J 7476
 
5.2%
G 6931
 
4.8%
. 6756
 
4.7%
M 4597
 
3.2%
A 4122
 
2.9%
Other values (23) 31454
21.9%

태그
Text

Distinct4100
Distinct (%)60.7%
Missing1
Missing (%)< 0.1%
Memory size52.9 KiB
2023-12-12T19:36:28.899429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length36
Mean length13.539156
Min length3

Characters and Unicode

Total characters91457
Distinct characters495
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

Unique2888 ?
Unique (%)42.8%

Sample

1st row#삼호#철새
2nd row#삼호#철새
3rd row#삼호#철새
4th row#태화강#삼호지구#조감도
5th row#태화강국가정원#태화강#낮
ValueCountFrequency (%)
태화강 518
 
5.5%
전경 269
 
2.9%
시가지 163
 
1.7%
항공촬영 160
 
1.7%
대공원 120
 
1.3%
야경 83
 
0.9%
주거지 57
 
0.6%
태화들 52
 
0.6%
남산 43
 
0.5%
마을 43
 
0.5%
Other values (4062) 7923
84.0%
2023-12-12T19:36:29.404883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
# 19053
 
20.8%
화 3642
 
4.0%
태 3264
 
3.6%
강 3119
 
3.4%
2714
 
3.0%
산 2177
 
2.4%
지 1882
 
2.1%
공 1872
 
2.0%
대 1753
 
1.9%
동 1584
 
1.7%
Other values (485) 50397
55.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 67269
73.6%
Other Punctuation 19057
 
20.8%
Space Separator 2714
 
3.0%
Decimal Number 1869
 
2.0%
Uppercase Letter 431
 
0.5%
Lowercase Letter 58
 
0.1%
Dash Punctuation 57
 
0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
화 3642
 
5.4%
태 3264
 
4.9%
강 3119
 
4.6%
산 2177
 
3.2%
지 1882
 
2.8%
공 1872
 
2.8%
대 1753
 
2.6%
동 1584
 
2.4%
원 1516
 
2.3%
경 1489
 
2.2%
Other values (446) 44971
66.9%
Uppercase Letter
ValueCountFrequency (%)
C 131
30.4%
K 53
12.3%
I 46
 
10.7%
T 46
 
10.7%
B 44
 
10.2%
X 35
 
8.1%
S 18
 
4.2%
M 17
 
3.9%
G 10
 
2.3%
U 9
 
2.1%
Other values (8) 22
 
5.1%
Decimal Number
ValueCountFrequency (%)
0 635
34.0%
2 350
18.7%
1 344
18.4%
9 284
15.2%
8 59
 
3.2%
6 59
 
3.2%
4 46
 
2.5%
3 38
 
2.0%
7 35
 
1.9%
5 19
 
1.0%
Lowercase Letter
ValueCountFrequency (%)
c 40
69.0%
k 7
 
12.1%
s 6
 
10.3%
i 3
 
5.2%
l 2
 
3.4%
Other Punctuation
ValueCountFrequency (%)
# 19053
> 99.9%
, 4
 
< 0.1%
Space Separator
ValueCountFrequency (%)
2714
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 57
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 67269
73.6%
Common 23699
 
25.9%
Latin 489
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
화 3642
 
5.4%
태 3264
 
4.9%
강 3119
 
4.6%
산 2177
 
3.2%
지 1882
 
2.8%
공 1872
 
2.8%
대 1753
 
2.6%
동 1584
 
2.4%
원 1516
 
2.3%
경 1489
 
2.2%
Other values (446) 44971
66.9%
Latin
ValueCountFrequency (%)
C 131
26.8%
K 53
10.8%
I 46
 
9.4%
T 46
 
9.4%
B 44
 
9.0%
c 40
 
8.2%
X 35
 
7.2%
S 18
 
3.7%
M 17
 
3.5%
G 10
 
2.0%
Other values (13) 49
 
10.0%
Common
ValueCountFrequency (%)
# 19053
80.4%
2714
 
11.5%
0 635
 
2.7%
2 350
 
1.5%
1 344
 
1.5%
9 284
 
1.2%
8 59
 
0.2%
6 59
 
0.2%
- 57
 
0.2%
4 46
 
0.2%
Other values (6) 98
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 67269
73.6%
ASCII 24188
 
26.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
# 19053
78.8%
2714
 
11.2%
0 635
 
2.6%
2 350
 
1.4%
1 344
 
1.4%
9 284
 
1.2%
C 131
 
0.5%
8 59
 
0.2%
6 59
 
0.2%
- 57
 
0.2%
Other values (29) 502
 
2.1%
Hangul
ValueCountFrequency (%)
화 3642
 
5.4%
태 3264
 
4.9%
강 3119
 
4.6%
산 2177
 
3.2%
지 1882
 
2.8%
공 1872
 
2.8%
대 1753
 
2.6%
동 1584
 
2.4%
원 1516
 
2.3%
경 1489
 
2.2%
Other values (446) 44971
66.9%

Sample

관리번호사업회차구-군대분류중분류경관기록대상촬영지점시점매핑코드표준기록점 코드위도경도카메라포커스노출플래시촬영일제목사진경로사진파일명태그
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1382902<NA>태화강 연도별2016년~2020년<NA>주요울산Canon Canon EOS-1D X Mark II70 mmManual, 1/125 sec, ISO 1000AutoMode2019-11-19 18:08삼호철새공원 은행나무정원02 -2/02/T4/MAT2/M30/02-MAT2-M30-531.JPG#삼호#철새
2382912<NA>태화강 연도별2016년~2020년<NA>주요울산Canon Canon EOS-1D X Mark II70 mmManual, 1/125 sec, ISO 1000AutoMode2019-11-19 18:12삼호철새공원 은행나무정원02 -3/02/T4/MAT2/M30/02-MAT2-M30-532.JPG#삼호#철새
3382862<NA>태화강 연도별2016년~2020년<NA><NA>주요울산<NA><NA><NA><NA>DJI FC63108.8 mmAuto, 1/500 sec, ISO 100NoFlashFunction2019-10-08 14:32태화강 삼호지구 조감도/02/T4/MAT2/M30/02-MAT2-M30-430.JPG#태화강#삼호지구#조감도
4382872<NA>태화강 연도별2016년~2020년<NA><NA>주요울산<NA><NA><NA><NA>Hasselblad L1D-20c10.3 mmAuto, 1/50 sec, ISO 100FlashDidNotFire2019-07-28 17:37태화강국가정원의 낮/02/T4/MAT2/M30/02-MAT2-M30-431.JPG#태화강국가정원#태화강#낮
5382882<NA>태화강 연도별2016년~2020년<NA><NA>주요울산<NA><NA><NA><NA>Canon Canon EOS-1D X Mark II15 mmAuto, 20/1 sec, ISO 400AutoMode2019-07-12 04:45태화강국가정원의 밤/02/T4/MAT2/M30/02-MAT2-M30-432.JPG#태화강국가정원#태화강#밤
6382892<NA>태화강 연도별2016년~2020년<NA><NA>주요울산<NA><NA><NA><NA>Canon Canon EOS-1D X15 mmAuto, 1/15 sec, ISO 1000AutoMode2018-07-23 07:38태화강지방정원전경01(1)/02/T4/MAT2/M30/02-MAT2-M30-433.JPG#태화강#지방정원#전경
7382852<NA>태화강 연도별2016년~2020년<NA><NA>주요울산<NA><NA><NA><NA>Hasselblad L1D-20c10.3 mmAuto, 1/50 sec, ISO 100FlashDidNotFire2019-07-28 17:40조감도2/02/T4/MAT2/M30/02-MAT2-M30-429.JPG#조감도
8382842<NA>태화강 연도별2016년~2020년<NA><NA>주요울산<NA><NA><NA><NA>Canon Canon EOS-1D X Mark II24 mmManual, 1/200 sec, ISO 1000AutoMode2020-05-20 05:45태화강 국가정원의 라벤다07/02/T4/MAT2/M30/02-MAT2-M30-428.JPG#태화강국가정원#태화강#라벤다
9382822<NA>태화강 연도별2016년~2020년<NA><NA>주요울산<NA><NA><NA><NA>Canon Canon EOS-1D X Mark II53 mmManual, 1/320 sec, ISO 1000AutoMode2020-05-07 06:00태화강국가정원의 꽃양귀비07/02/T4/MAT2/M30/02-MAT2-M30-426.JPG#태화강국가정원#태화강#꽃양귀비
관리번호사업회차구-군대분류중분류경관기록대상촬영지점시점매핑코드표준기록점 코드위도경도카메라포커스노출플래시촬영일제목사진경로사진파일명태그
6746382392<NA>태화강 연도별2016년~2020년<NA><NA>주요울산<NA><NA><NA><NA>Canon Canon EOS-1D X Mark II70 mmManual, 1/3200 sec, ISO 1000AutoMode2019-11-01 06:59태화강 국가정원의 일출08/02/T4/MAT2/M30/02-MAT2-M30-383.JPG#태화강국가정원#태화강#일출
6747382382<NA>태화강 연도별2016년~2020년<NA><NA>주요울산<NA><NA><NA><NA>Canon Canon EOS-1D X Mark II31 mmManual, 1/1600 sec, ISO 1000AutoMode2019-11-01 07:07태화강 국가정원의 일출06/02/T4/MAT2/M30/02-MAT2-M30-382.JPG#태화강국가정원#태화강#일출
6748382402<NA>태화강 연도별2016년~2020년<NA><NA>주요울산<NA><NA><NA><NA>Canon Canon EOS-1D X Mark II45 mmManual, 1/1600 sec, ISO 1000AutoMode2019-11-01 07:05태화강 국가정원의 일출09/02/T4/MAT2/M30/02-MAT2-M30-384.JPG#태화강국가정원#태화강#일출
6749382422<NA>태화강 연도별2016년~2020년<NA><NA>주요울산<NA><NA><NA><NA>samsung SM-G973N4.3 mmAuto, 1/40 sec, ISO 400FlashDidNotFire2019-11-01 06:19태화강일출03/02/T4/MAT2/M30/02-MAT2-M30-386.JPG#태화강#일출
6750382412<NA>태화강 연도별2016년~2020년<NA><NA>주요울산<NA><NA><NA><NA>samsung SM-G973N6 mmAuto, 1/15 sec, ISO 800FlashDidNotFire2019-11-01 06:19태화강일출02/02/T4/MAT2/M30/02-MAT2-M30-385.JPG#태화강#일출
6751382432<NA>태화강 연도별2016년~2020년<NA><NA>주요울산<NA><NA><NA><NA>Canon Canon EOS-1D X Mark II70 mmManual, 1/125 sec, ISO 1000AutoMode2019-11-19 15:03삼호철새공원 은행나무정원01/02/T4/MAT2/M30/02-MAT2-M30-387.JPG#삼호철새공원#은행나무정원
6752382462<NA>태화강 연도별2016년~2020년<NA><NA>주요울산<NA><NA><NA><NA><NA><NA><NA><NA>2020-07-24 00:00삼호섬 항공사진 (5)/02/T4/MAT2/M30/02-MAT2-M30-390.JPG#삼호섬#항공사진
6753382452<NA>태화강 연도별2016년~2020년<NA><NA>주요울산<NA><NA><NA><NA>Canon Canon EOS-1D X Mark II50 mmManual, 1/200 sec, ISO 1000AutoMode2019-11-19 15:22삼호철새공원 은행나무정원09/02/T4/MAT2/M30/02-MAT2-M30-389.JPG#삼호철새공원#은행나무정원
6754382472<NA>태화강 연도별2016년~2020년<NA><NA>주요울산<NA><NA><NA><NA>Canon Canon EOS-1D X Mark II35 mmManual, 1/1000 sec, ISO 1000AutoMode2020-03-31 14:15태화강국가정원의 봄 전경02/02/T4/MAT2/M30/02-MAT2-M30-391.JPG#태화강국가정원#태화강#봄#전경
6755382442<NA>태화강 연도별2016년~2020년<NA><NA>주요울산<NA><NA><NA><NA>Canon Canon EOS-1D X Mark II70 mmManual, 1/125 sec, ISO 1000AutoMode2019-11-19 15:03삼호철새공원 은행나무정원02/02/T4/MAT2/M30/02-MAT2-M30-388.JPG#삼호철새공원#은행나무정원