Overview

Dataset statistics

Number of variables12
Number of observations51
Missing cells2
Missing cells (%)0.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.1 KiB
Average record size in memory101.6 B

Variable types

Numeric2
Categorical4
Text5
Boolean1

Dataset

Description국립중앙과학관 홈페이지에 있는 과학학습콘텐츠의 카메라 목록입니다.
Author과학기술정보통신부 국립중앙과학관
URLhttps://www.data.go.kr/data/15067834/fileData.do

Alerts

대분류코드 has constant value ""Constant
공개유무 has constant value ""Constant
중분류코드 is highly overall correlated with 타입 and 1 other fieldsHigh correlation
타입 is highly overall correlated with 중분류코드 and 1 other fieldsHigh correlation
필름 혹은 저장매체 is highly overall correlated with 중분류코드 and 1 other fieldsHigh correlation
제조사 has 1 (2.0%) missing valuesMissing
화면 사이즈 및 센서 크기 has 1 (2.0%) missing valuesMissing
고유 아이디 has unique valuesUnique
컨텐츠명 has unique valuesUnique
추가설명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 08:35:53.051423
Analysis finished2023-12-12 08:35:54.783578
Duration1.73 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

고유 아이디
Real number (ℝ)

UNIQUE 

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1132
Minimum1107
Maximum1157
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-12T17:35:54.901153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1107
5-th percentile1109.5
Q11119.5
median1132
Q31144.5
95-th percentile1154.5
Maximum1157
Range50
Interquartile range (IQR)25

Descriptive statistics

Standard deviation14.866069
Coefficient of variation (CV)0.01313257
Kurtosis-1.2
Mean1132
Median Absolute Deviation (MAD)13
Skewness0
Sum57732
Variance221
MonotonicityNot monotonic
2023-12-12T17:35:55.079294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1108 1
 
2.0%
1113 1
 
2.0%
1109 1
 
2.0%
1110 1
 
2.0%
1112 1
 
2.0%
1114 1
 
2.0%
1121 1
 
2.0%
1123 1
 
2.0%
1126 1
 
2.0%
1128 1
 
2.0%
Other values (41) 41
80.4%
ValueCountFrequency (%)
1107 1
2.0%
1108 1
2.0%
1109 1
2.0%
1110 1
2.0%
1111 1
2.0%
1112 1
2.0%
1113 1
2.0%
1114 1
2.0%
1115 1
2.0%
1116 1
2.0%
ValueCountFrequency (%)
1157 1
2.0%
1156 1
2.0%
1155 1
2.0%
1154 1
2.0%
1153 1
2.0%
1152 1
2.0%
1151 1
2.0%
1150 1
2.0%
1149 1
2.0%
1148 1
2.0%

대분류코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
495
51 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row495
2nd row495
3rd row495
4th row495
5th row495

Common Values

ValueCountFrequency (%)
495 51
100.0%

Length

2023-12-12T17:35:55.224072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:35:55.332861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
495 51
100.0%

중분류코드
Real number (ℝ)

HIGH CORRELATION 

Distinct10
Distinct (%)19.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean501.72549
Minimum497
Maximum506
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-12T17:35:55.439359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum497
5-th percentile497
Q1500
median502
Q3504
95-th percentile506
Maximum506
Range9
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.7282114
Coefficient of variation (CV)0.0054376575
Kurtosis-0.81899288
Mean501.72549
Median Absolute Deviation (MAD)2
Skewness-0.01277583
Sum25588
Variance7.4431373
MonotonicityNot monotonic
2023-12-12T17:35:55.572729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
502 12
23.5%
500 9
17.6%
506 6
11.8%
505 6
11.8%
497 5
9.8%
501 5
9.8%
504 2
 
3.9%
499 2
 
3.9%
498 2
 
3.9%
503 2
 
3.9%
ValueCountFrequency (%)
497 5
9.8%
498 2
 
3.9%
499 2
 
3.9%
500 9
17.6%
501 5
9.8%
502 12
23.5%
503 2
 
3.9%
504 2
 
3.9%
505 6
11.8%
506 6
11.8%
ValueCountFrequency (%)
506 6
11.8%
505 6
11.8%
504 2
 
3.9%
503 2
 
3.9%
502 12
23.5%
501 5
9.8%
500 9
17.6%
499 2
 
3.9%
498 2
 
3.9%
497 5
9.8%

컨텐츠명
Text

UNIQUE 

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
2023-12-12T17:35:55.889181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length15
Mean length8.9607843
Min length4

Characters and Unicode

Total characters457
Distinct characters130
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique51 ?
Unique (%)100.0%

Sample

1st row수세 프레르 다게레오타입 카메라
2nd row트로펜 아도르 34
3rd row롤라이플렉스 Ⅰ
4th row라이카 Ⅰa elmar
5th row이코플렉스 Ⅰa
ValueCountFrequency (%)
코닥 6
 
4.7%
카메라 5
 
3.9%
니콘 5
 
3.9%
라이카 4
 
3.1%
ⅰa 3
 
2.3%
슈퍼 3
 
2.3%
캐논 3
 
2.3%
스페셜 3
 
2.3%
iii 2
 
1.6%
폴라로이드 2
 
1.6%
Other values (89) 92
71.9%
2023-12-12T17:35:56.416084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
77
 
16.8%
스 23
 
5.0%
라 20
 
4.4%
코 13
 
2.8%
이 13
 
2.8%
카 13
 
2.8%
니 10
 
2.2%
3 10
 
2.2%
I 9
 
2.0%
- 8
 
1.8%
Other values (120) 261
57.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 260
56.9%
Space Separator 77
 
16.8%
Uppercase Letter 51
 
11.2%
Decimal Number 38
 
8.3%
Lowercase Letter 13
 
2.8%
Letter Number 9
 
2.0%
Dash Punctuation 8
 
1.8%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 23
 
8.8%
라 20
 
7.7%
코 13
 
5.0%
이 13
 
5.0%
카 13
 
5.0%
니 10
 
3.8%
콘 8
 
3.1%
드 7
 
2.7%
메 6
 
2.3%
닥 6
 
2.3%
Other values (80) 141
54.2%
Uppercase Letter
ValueCountFrequency (%)
I 9
17.6%
S 6
11.8%
A 6
11.8%
E 4
7.8%
C 4
7.8%
R 4
7.8%
F 3
 
5.9%
B 3
 
5.9%
D 3
 
5.9%
N 2
 
3.9%
Other values (5) 7
13.7%
Decimal Number
ValueCountFrequency (%)
3 10
26.3%
5 7
18.4%
0 6
15.8%
1 4
 
10.5%
7 3
 
7.9%
6 2
 
5.3%
2 2
 
5.3%
8 2
 
5.3%
9 1
 
2.6%
4 1
 
2.6%
Lowercase Letter
ValueCountFrequency (%)
a 3
23.1%
i 2
15.4%
m 2
15.4%
c 1
 
7.7%
s 1
 
7.7%
r 1
 
7.7%
l 1
 
7.7%
e 1
 
7.7%
n 1
 
7.7%
Letter Number
ValueCountFrequency (%)
Ⅰ 6
66.7%
Ⅳ 2
 
22.2%
Ⅲ 1
 
11.1%
Space Separator
ValueCountFrequency (%)
77
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 260
56.9%
Common 124
27.1%
Latin 73
 
16.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 23
 
8.8%
라 20
 
7.7%
코 13
 
5.0%
이 13
 
5.0%
카 13
 
5.0%
니 10
 
3.8%
콘 8
 
3.1%
드 7
 
2.7%
메 6
 
2.3%
닥 6
 
2.3%
Other values (80) 141
54.2%
Latin
ValueCountFrequency (%)
I 9
 
12.3%
S 6
 
8.2%
Ⅰ 6
 
8.2%
A 6
 
8.2%
E 4
 
5.5%
C 4
 
5.5%
R 4
 
5.5%
F 3
 
4.1%
B 3
 
4.1%
D 3
 
4.1%
Other values (17) 25
34.2%
Common
ValueCountFrequency (%)
77
62.1%
3 10
 
8.1%
- 8
 
6.5%
5 7
 
5.6%
0 6
 
4.8%
1 4
 
3.2%
7 3
 
2.4%
6 2
 
1.6%
2 2
 
1.6%
8 2
 
1.6%
Other values (3) 3
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 260
56.9%
ASCII 188
41.1%
Number Forms 9
 
2.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
77
41.0%
3 10
 
5.3%
I 9
 
4.8%
- 8
 
4.3%
5 7
 
3.7%
S 6
 
3.2%
0 6
 
3.2%
A 6
 
3.2%
E 4
 
2.1%
C 4
 
2.1%
Other values (27) 51
27.1%
Hangul
ValueCountFrequency (%)
스 23
 
8.8%
라 20
 
7.7%
코 13
 
5.0%
이 13
 
5.0%
카 13
 
5.0%
니 10
 
3.8%
콘 8
 
3.1%
드 7
 
2.7%
메 6
 
2.3%
닥 6
 
2.3%
Other values (80) 141
54.2%
Number Forms
ValueCountFrequency (%)
Ⅰ 6
66.7%
Ⅳ 2
 
22.2%
Ⅲ 1
 
11.1%

연대
Text

Distinct37
Distinct (%)72.5%
Missing0
Missing (%)0.0%
Memory size540.0 B
2023-12-12T17:35:56.663253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length4
Mean length4.1176471
Min length4

Characters and Unicode

Total characters210
Distinct characters16
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

Unique26 ?
Unique (%)51.0%

Sample

1st row1839
2nd row1921
3rd row1929
4th row1930
5th row1934
ValueCountFrequency (%)
1954 3
 
5.9%
1957 3
 
5.9%
1939 3
 
5.9%
1977 2
 
3.9%
1967 2
 
3.9%
1933 2
 
3.9%
1935 2
 
3.9%
1921 2
 
3.9%
1959 2
 
3.9%
1976 2
 
3.9%
Other values (27) 28
54.9%
2023-12-12T17:35:57.051286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9 56
26.7%
1 53
25.2%
3 17
 
8.1%
7 14
 
6.7%
5 13
 
6.2%
2 11
 
5.2%
8 11
 
5.2%
0 11
 
5.2%
6 10
 
4.8%
4 8
 
3.8%
Other values (6) 6
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 204
97.1%
Lowercase Letter 4
 
1.9%
Uppercase Letter 1
 
0.5%
Math Symbol 1
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 56
27.5%
1 53
26.0%
3 17
 
8.3%
7 14
 
6.9%
5 13
 
6.4%
2 11
 
5.4%
8 11
 
5.4%
0 11
 
5.4%
6 10
 
4.9%
4 8
 
3.9%
Lowercase Letter
ValueCountFrequency (%)
a 1
25.0%
r 1
25.0%
l 1
25.0%
y 1
25.0%
Uppercase Letter
ValueCountFrequency (%)
E 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 205
97.6%
Latin 5
 
2.4%

Most frequent character per script

Common
ValueCountFrequency (%)
9 56
27.3%
1 53
25.9%
3 17
 
8.3%
7 14
 
6.8%
5 13
 
6.3%
2 11
 
5.4%
8 11
 
5.4%
0 11
 
5.4%
6 10
 
4.9%
4 8
 
3.9%
Latin
ValueCountFrequency (%)
E 1
20.0%
a 1
20.0%
r 1
20.0%
l 1
20.0%
y 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 210
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9 56
26.7%
1 53
25.2%
3 17
 
8.1%
7 14
 
6.7%
5 13
 
6.2%
2 11
 
5.2%
8 11
 
5.2%
0 11
 
5.2%
6 10
 
4.8%
4 8
 
3.8%
Other values (6) 6
 
2.9%

제조사
Text

MISSING 

Distinct30
Distinct (%)60.0%
Missing1
Missing (%)2.0%
Memory size540.0 B
2023-12-12T17:35:57.384338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length33
Mean length24.92
Min length13

Characters and Unicode

Total characters1246
Distinct characters139
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

Unique22 ?
Unique (%)44.0%

Sample

1st row수세 프레르 (Susse Frres), 프랑스
2nd row자이스 이콘 (Zeiss Ikon), 독일
3rd row롤라이 (Rollei- Werke Franke & Heidecke Gmbh), 독일
4th row에른스트 라이츠 (Ernst Leitz), 독일
5th row자이스 이콘 (Zeiss Ikon), 독일
ValueCountFrequency (%)
일본 14
 
6.3%
독일 14
 
6.3%
미국 12
 
5.4%
company 9
 
4.1%
이스트만 8
 
3.6%
eastman 8
 
3.6%
kodak 8
 
3.6%
코닥사 7
 
3.2%
leitz 5
 
2.3%
ernst 5
 
2.3%
Other values (89) 131
59.3%
2023-12-12T17:35:57.857100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
171
 
13.7%
a 62
 
5.0%
n 50
 
4.0%
, 50
 
4.0%
( 50
 
4.0%
) 50
 
4.0%
o 46
 
3.7%
e 39
 
3.1%
s 32
 
2.6%
일 31
 
2.5%
Other values (129) 665
53.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 447
35.9%
Other Letter 345
27.7%
Space Separator 171
 
13.7%
Uppercase Letter 124
 
10.0%
Other Punctuation 57
 
4.6%
Open Punctuation 50
 
4.0%
Close Punctuation 50
 
4.0%
Dash Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
일 31
 
9.0%
스 25
 
7.2%
이 24
 
7.0%
국 17
 
4.9%
독 16
 
4.6%
라 15
 
4.3%
본 15
 
4.3%
미 14
 
4.1%
트 13
 
3.8%
코 12
 
3.5%
Other values (77) 163
47.2%
Lowercase Letter
ValueCountFrequency (%)
a 62
13.9%
n 50
11.2%
o 46
10.3%
e 39
8.7%
s 32
 
7.2%
i 30
 
6.7%
k 27
 
6.0%
r 24
 
5.4%
m 23
 
5.1%
d 19
 
4.3%
Other values (13) 95
21.3%
Uppercase Letter
ValueCountFrequency (%)
K 16
12.9%
E 13
 
10.5%
C 13
 
10.5%
S 8
 
6.5%
N 8
 
6.5%
M 7
 
5.6%
A 7
 
5.6%
L 7
 
5.6%
F 6
 
4.8%
G 6
 
4.8%
Other values (11) 33
26.6%
Other Punctuation
ValueCountFrequency (%)
, 50
87.7%
& 5
 
8.8%
: 1
 
1.8%
. 1
 
1.8%
Space Separator
ValueCountFrequency (%)
171
100.0%
Open Punctuation
ValueCountFrequency (%)
( 50
100.0%
Close Punctuation
ValueCountFrequency (%)
) 50
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 571
45.8%
Hangul 345
27.7%
Common 330
26.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
일 31
 
9.0%
스 25
 
7.2%
이 24
 
7.0%
국 17
 
4.9%
독 16
 
4.6%
라 15
 
4.3%
본 15
 
4.3%
미 14
 
4.1%
트 13
 
3.8%
코 12
 
3.5%
Other values (77) 163
47.2%
Latin
ValueCountFrequency (%)
a 62
 
10.9%
n 50
 
8.8%
o 46
 
8.1%
e 39
 
6.8%
s 32
 
5.6%
i 30
 
5.3%
k 27
 
4.7%
r 24
 
4.2%
m 23
 
4.0%
d 19
 
3.3%
Other values (34) 219
38.4%
Common
ValueCountFrequency (%)
171
51.8%
, 50
 
15.2%
( 50
 
15.2%
) 50
 
15.2%
& 5
 
1.5%
- 2
 
0.6%
: 1
 
0.3%
. 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 901
72.3%
Hangul 345
 
27.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
171
19.0%
a 62
 
6.9%
n 50
 
5.5%
, 50
 
5.5%
( 50
 
5.5%
) 50
 
5.5%
o 46
 
5.1%
e 39
 
4.3%
s 32
 
3.6%
i 30
 
3.3%
Other values (42) 321
35.6%
Hangul
ValueCountFrequency (%)
일 31
 
9.0%
스 25
 
7.2%
이 24
 
7.0%
국 17
 
4.9%
독 16
 
4.6%
라 15
 
4.3%
본 15
 
4.3%
미 14
 
4.1%
트 13
 
3.8%
코 12
 
3.5%
Other values (77) 163
47.2%

타입
Categorical

HIGH CORRELATION 

Distinct20
Distinct (%)39.2%
Missing0
Missing (%)0.0%
Memory size540.0 B
레인지파인더 카메라 (RF:Range finder camera)
11 
일안 반사식 카메라 (SLR:Single lens reflex camera)
9 
이안 반사식 카메라 (TLR:Twin lens reflex camera)
5 
폴딩 카메라 (Folding camera)
5 
필드 카메라 (Field camera)
2 
Other values (15)
19 

Length

Max length55
Median length40
Mean length32.588235
Min length19

Unique

Unique11 ?
Unique (%)21.6%

Sample

1st row다게레오타입 (Daguerreotype)
2nd row폴딩 카메라 (Folding camera)
3rd row이안 반사식 카메라 (TLR:Twin lens reflex camera)
4th row레인지파인더 카메라 (RF:Range finder camera)
5th row이안 반사식 카메라 (TLR:Twin lens reflex camera)

Common Values

ValueCountFrequency (%)
레인지파인더 카메라 (RF:Range finder camera) 11
21.6%
일안 반사식 카메라 (SLR:Single lens reflex camera) 9
17.6%
이안 반사식 카메라 (TLR:Twin lens reflex camera) 5
9.8%
폴딩 카메라 (Folding camera) 5
9.8%
필드 카메라 (Field camera) 2
 
3.9%
즉석 카메라 (Polaroid camera) 2
 
3.9%
디지털 일안 반사식 카메라 (DSLR:Digital single lens reflex camera) 2
 
3.9%
미러리스 카메라 (Mirrorless Camera) 2
 
3.9%
박스 카메라 (Box camera) 2
 
3.9%
핀홀 카메라 (Pinhole camera) 1
 
2.0%
Other values (10) 10
19.6%

Length

2023-12-12T17:35:58.018190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
camera 50
18.7%
카메라 49
18.4%
반사식 16
 
6.0%
lens 16
 
6.0%
reflex 16
 
6.0%
레인지파인더 11
 
4.1%
rf:range 11
 
4.1%
finder 11
 
4.1%
일안 11
 
4.1%
slr:single 9
 
3.4%
Other values (36) 67
25.1%

필름 혹은 저장매체
Categorical

HIGH CORRELATION 

Distinct21
Distinct (%)41.2%
Missing0
Missing (%)0.0%
Memory size540.0 B
35mm 롤필름
22 
유리 건판 필름
4 
120mm 롤필름
4 
인스턴트 롤필름
 
2
코닥 127 롤필름
 
2
Other values (16)
17 

Length

Max length41
Median length8
Mean length9.7843137
Min length4

Unique

Unique15 ?
Unique (%)29.4%

Sample

1st row은 도금 동판
2nd row유리 건판 필름
3rd row120mm 롤필름
4th row35mm 롤필름
5th row120mm 롤필름

Common Values

ValueCountFrequency (%)
35mm 롤필름 22
43.1%
유리 건판 필름 4
 
7.8%
120mm 롤필름 4
 
7.8%
인스턴트 롤필름 2
 
3.9%
코닥 127 롤필름 2
 
3.9%
120/220 롤필름 2
 
3.9%
<NA> 1
 
2.0%
전용필름 1
 
2.0%
2MB 메모리카드 1
 
2.0%
컴팩트플래쉬(CF) (Type I or Type II) 1
 
2.0%
Other values (11) 11
21.6%

Length

2023-12-12T17:35:58.182860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
롤필름 36
29.3%
35mm 23
18.7%
필름 6
 
4.9%
유리 4
 
3.3%
건판 4
 
3.3%
120mm 4
 
3.3%
type 3
 
2.4%
120/220 3
 
2.4%
ii 2
 
1.6%
or 2
 
1.6%
Other values (31) 36
29.3%

화면 사이즈 및 센서 크기
Text

MISSING 

Distinct29
Distinct (%)58.0%
Missing1
Missing (%)2.0%
Memory size540.0 B
2023-12-12T17:35:58.430277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length7
Mean length11.26
Min length5

Characters and Unicode

Total characters563
Distinct characters56
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

Unique26 ?
Unique (%)52.0%

Sample

1st row6.5×8.5inch (216×165mm)
2nd row6.5×9cm / 8.5×11cm / 9×12cm / 10×15cm
3rd row6×6cm
4th row24×36mm
5th row6×6Cm
ValueCountFrequency (%)
24×36mm 21
20.6%
8
 
7.8%
6×6cm 6
 
5.9%
화소 5
 
4.9%
이미지 5
 
4.9%
센서 5
 
4.9%
cmos 3
 
2.9%
6.5×9cm 3
 
2.9%
ccd 2
 
2.0%
4×5inch 2
 
2.0%
Other values (40) 42
41.2%
2023-12-12T17:35:58.950190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
m 89
15.8%
× 56
 
9.9%
52
 
9.2%
6 46
 
8.2%
2 38
 
6.7%
4 31
 
5.5%
3 28
 
5.0%
c 21
 
3.7%
1 20
 
3.6%
5 19
 
3.4%
Other values (46) 163
29.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 224
39.8%
Lowercase Letter 128
22.7%
Math Symbol 56
 
9.9%
Other Letter 53
 
9.4%
Space Separator 52
 
9.2%
Other Punctuation 24
 
4.3%
Uppercase Letter 21
 
3.7%
Close Punctuation 2
 
0.4%
Open Punctuation 2
 
0.4%
Other Number 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 5
9.4%
서 5
9.4%
센 5
9.4%
지 5
9.4%
미 5
9.4%
소 5
9.4%
화 5
9.4%
만 5
9.4%
픽 1
 
1.9%
장 1
 
1.9%
Other values (11) 11
20.8%
Lowercase Letter
ValueCountFrequency (%)
m 89
69.5%
c 21
 
16.4%
n 4
 
3.1%
h 4
 
3.1%
i 4
 
3.1%
a 1
 
0.8%
r 1
 
0.8%
o 1
 
0.8%
f 1
 
0.8%
x 1
 
0.8%
Decimal Number
ValueCountFrequency (%)
6 46
20.5%
2 38
17.0%
4 31
13.8%
3 28
12.5%
1 20
8.9%
5 19
8.5%
0 18
 
8.0%
8 10
 
4.5%
9 9
 
4.0%
7 5
 
2.2%
Uppercase Letter
ValueCountFrequency (%)
C 8
38.1%
D 3
 
14.3%
O 3
 
14.3%
S 3
 
14.3%
M 3
 
14.3%
X 1
 
4.8%
Other Punctuation
ValueCountFrequency (%)
. 11
45.8%
/ 8
33.3%
, 5
20.8%
Math Symbol
ValueCountFrequency (%)
× 56
100.0%
Space Separator
ValueCountFrequency (%)
52
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Other Number
ValueCountFrequency (%)
½ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 361
64.1%
Latin 149
26.5%
Hangul 53
 
9.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 5
9.4%
서 5
9.4%
센 5
9.4%
지 5
9.4%
미 5
9.4%
소 5
9.4%
화 5
9.4%
만 5
9.4%
픽 1
 
1.9%
장 1
 
1.9%
Other values (11) 11
20.8%
Common
ValueCountFrequency (%)
× 56
15.5%
52
14.4%
6 46
12.7%
2 38
10.5%
4 31
8.6%
3 28
7.8%
1 20
 
5.5%
5 19
 
5.3%
0 18
 
5.0%
. 11
 
3.0%
Other values (8) 42
11.6%
Latin
ValueCountFrequency (%)
m 89
59.7%
c 21
 
14.1%
C 8
 
5.4%
n 4
 
2.7%
h 4
 
2.7%
i 4
 
2.7%
D 3
 
2.0%
O 3
 
2.0%
S 3
 
2.0%
M 3
 
2.0%
Other values (7) 7
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 453
80.5%
None 57
 
10.1%
Hangul 53
 
9.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
m 89
19.6%
52
11.5%
6 46
10.2%
2 38
8.4%
4 31
 
6.8%
3 28
 
6.2%
c 21
 
4.6%
1 20
 
4.4%
5 19
 
4.2%
0 18
 
4.0%
Other values (23) 91
20.1%
None
ValueCountFrequency (%)
× 56
98.2%
½ 1
 
1.8%
Hangul
ValueCountFrequency (%)
이 5
9.4%
서 5
9.4%
센 5
9.4%
지 5
9.4%
미 5
9.4%
소 5
9.4%
화 5
9.4%
만 5
9.4%
픽 1
 
1.9%
장 1
 
1.9%
Other values (11) 11
20.8%

추가설명
Text

UNIQUE 

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
2023-12-12T17:35:59.325424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length25
Mean length15.392157
Min length7

Characters and Unicode

Total characters785
Distinct characters63
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

Unique51 ?
Unique (%)100.0%

Sample

1st rowSusse Frres Daguerreotype camera
2nd rowTropen-Adoro 34
3rd rowRolleiflex Ⅰ
4th rowLeica Ⅰa elmar
5th rowIkoflex Ⅰa
ValueCountFrequency (%)
camera 7
 
5.1%
kodak 6
 
4.3%
nikon 5
 
3.6%
leica 4
 
2.9%
super 3
 
2.2%
canon 3
 
2.2%
ⅰa 3
 
2.2%
special 3
 
2.2%
polaroid 3
 
2.2%
contax 2
 
1.4%
Other values (92) 99
71.7%
2023-12-12T17:35:59.872527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
87
 
11.1%
a 66
 
8.4%
o 56
 
7.1%
e 46
 
5.9%
i 42
 
5.4%
r 33
 
4.2%
n 31
 
3.9%
l 27
 
3.4%
c 27
 
3.4%
S 22
 
2.8%
Other values (53) 348
44.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 459
58.5%
Uppercase Letter 183
 
23.3%
Space Separator 87
 
11.1%
Decimal Number 38
 
4.8%
Dash Punctuation 9
 
1.1%
Letter Number 8
 
1.0%
Other Punctuation 1
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 66
14.4%
o 56
12.2%
e 46
10.0%
i 42
9.2%
r 33
 
7.2%
n 31
 
6.8%
l 27
 
5.9%
c 27
 
5.9%
d 20
 
4.4%
s 17
 
3.7%
Other values (14) 94
20.5%
Uppercase Letter
ValueCountFrequency (%)
S 22
 
12.0%
R 13
 
7.1%
A 13
 
7.1%
E 13
 
7.1%
C 11
 
6.0%
N 11
 
6.0%
L 11
 
6.0%
I 11
 
6.0%
M 10
 
5.5%
K 9
 
4.9%
Other values (13) 59
32.2%
Decimal Number
ValueCountFrequency (%)
3 10
26.3%
5 7
18.4%
0 6
15.8%
1 3
 
7.9%
2 3
 
7.9%
7 3
 
7.9%
8 2
 
5.3%
6 2
 
5.3%
4 1
 
2.6%
9 1
 
2.6%
Letter Number
ValueCountFrequency (%)
Ⅰ 5
62.5%
Ⅳ 2
 
25.0%
Ⅲ 1
 
12.5%
Space Separator
ValueCountFrequency (%)
87
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 650
82.8%
Common 135
 
17.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 66
 
10.2%
o 56
 
8.6%
e 46
 
7.1%
i 42
 
6.5%
r 33
 
5.1%
n 31
 
4.8%
l 27
 
4.2%
c 27
 
4.2%
S 22
 
3.4%
d 20
 
3.1%
Other values (40) 280
43.1%
Common
ValueCountFrequency (%)
87
64.4%
3 10
 
7.4%
- 9
 
6.7%
5 7
 
5.2%
0 6
 
4.4%
1 3
 
2.2%
2 3
 
2.2%
7 3
 
2.2%
8 2
 
1.5%
6 2
 
1.5%
Other values (3) 3
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 777
99.0%
Number Forms 8
 
1.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
87
 
11.2%
a 66
 
8.5%
o 56
 
7.2%
e 46
 
5.9%
i 42
 
5.4%
r 33
 
4.2%
n 31
 
4.0%
l 27
 
3.5%
c 27
 
3.5%
S 22
 
2.8%
Other values (50) 340
43.8%
Number Forms
ValueCountFrequency (%)
Ⅰ 5
62.5%
Ⅳ 2
 
25.0%
Ⅲ 1
 
12.5%

감수자
Categorical

Distinct3
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
권혜진 교수
17 
김주은 교수
17 
이재구 박사
17 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row권혜진 교수
2nd row김주은 교수
3rd row김주은 교수
4th row김주은 교수
5th row김주은 교수

Common Values

ValueCountFrequency (%)
권혜진 교수 17
33.3%
김주은 교수 17
33.3%
이재구 박사 17
33.3%

Length

2023-12-12T17:36:00.029203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:36:00.145462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
교수 34
33.3%
권혜진 17
16.7%
김주은 17
16.7%
이재구 17
16.7%
박사 17
16.7%

공개유무
Boolean

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size183.0 B
True
51 
ValueCountFrequency (%)
True 51
100.0%
2023-12-12T17:36:00.258768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Interactions

2023-12-12T17:35:53.812176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:35:53.644948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:35:53.900154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:35:53.724212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T17:36:00.354375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
고유 아이디중분류코드컨텐츠명연대제조사타입필름 혹은 저장매체화면 사이즈 및 센서 크기추가설명감수자
고유 아이디1.0000.5781.0000.9900.6890.6940.6380.3801.0000.631
중분류코드0.5781.0001.0000.7520.9201.0000.8960.9251.0000.729
컨텐츠명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
연대0.9900.7521.0001.0000.8330.9070.9760.9551.0000.793
제조사0.6890.9201.0000.8331.0000.9420.8910.7151.0000.827
타입0.6941.0001.0000.9070.9421.0000.9100.9531.0000.672
필름 혹은 저장매체0.6380.8961.0000.9760.8910.9101.0000.9951.0000.699
화면 사이즈 및 센서 크기0.3800.9251.0000.9550.7150.9530.9951.0001.0000.746
추가설명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
감수자0.6310.7291.0000.7930.8270.6720.6990.7461.0001.000
2023-12-12T17:36:00.556384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
타입필름 혹은 저장매체감수자
타입1.0000.5290.366
필름 혹은 저장매체0.5291.0000.387
감수자0.3660.3871.000
2023-12-12T17:36:00.684360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
고유 아이디중분류코드타입필름 혹은 저장매체감수자
고유 아이디1.0000.4090.2800.1990.452
중분류코드0.4091.0000.8700.5050.382
타입0.2800.8701.0000.5290.366
필름 혹은 저장매체0.1990.5050.5291.0000.387
감수자0.4520.3820.3660.3871.000

Missing values

2023-12-12T17:35:54.024179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:35:54.564666image/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.
2023-12-12T17:35:54.698215image/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

고유 아이디대분류코드중분류코드컨텐츠명연대제조사타입필름 혹은 저장매체화면 사이즈 및 센서 크기추가설명감수자공개유무
01108495506수세 프레르 다게레오타입 카메라1839수세 프레르 (Susse Frres), 프랑스다게레오타입 (Daguerreotype)은 도금 동판6.5×8.5inch (216×165mm)Susse Frres Daguerreotype camera권혜진 교수Y
11113495497트로펜 아도르 341921자이스 이콘 (Zeiss Ikon), 독일폴딩 카메라 (Folding camera)유리 건판 필름6.5×9cm / 8.5×11cm / 9×12cm / 10×15cmTropen-Adoro 34김주은 교수Y
21115495501롤라이플렉스 Ⅰ1929롤라이 (Rollei- Werke Franke & Heidecke Gmbh), 독일이안 반사식 카메라 (TLR:Twin lens reflex camera)120mm 롤필름6×6cmRolleiflex Ⅰ김주은 교수Y
31116495502라이카 Ⅰa elmar1930에른스트 라이츠 (Ernst Leitz), 독일레인지파인더 카메라 (RF:Range finder camera)35mm 롤필름24×36mmLeica Ⅰa elmar김주은 교수Y
41120495501이코플렉스 Ⅰa1934자이스 이콘 (Zeiss Ikon), 독일이안 반사식 카메라 (TLR:Twin lens reflex camera)120mm 롤필름6×6CmIkoflex Ⅰa김주은 교수Y
51122495500리플렉스-코렐레 ⅠA1935프란츠 코흐만 (Franz Kochman), 독일일안 반사식 카메라 (SLR:Single lens reflex camera)120mm 롤필름6×6cmREFLEX-KORELLE ⅠA김주은 교수Y
61130495504폴라로이드 랜드 카메라 95A, 801954폴라로이드 (Polaroid), 미국즉석 카메라 (Polaroid camera)인스턴트 롤필름24×36mmPolaroid Land camera Model 95A, Polaroid Highlander Model 80이재구 박사Y
71136495506미녹스 B1958미녹스 (Minox), 독일초소형 미니 카메라 (Sub-miniature camera)전용필름8×11mmMinox B이재구 박사Y
81138495500올림푸스 펜 EE-31959올림푸스 (OLYMPUS), 일본일안 반사식 카메라 (SLR:Single lens reflex camera)35mm 롤필름18×12mmOLYMPUS PEN EE-3이재구 박사Y
91111495497베스트 포켓 코닥 스페셜1912이스트만 코닥사 (Eastman Kodak Company), 미국폴딩 카메라 (Folding camera)코닥 127 롤필름4×6.5cmVest Pocket Kodak Special권혜진 교수Y
고유 아이디대분류코드중분류코드컨텐츠명연대제조사타입필름 혹은 저장매체화면 사이즈 및 센서 크기추가설명감수자공개유무
411137495500니콘 F1959니콘 (Nikon), 일본일안 반사식 카메라 (SLR:Single lens reflex camera)35mm 롤필름24×36mmNikon F Photomic이재구 박사Y
421142495506호리존트1967크라스노고르스크 (Krasnogorski Mekhanicheskii Zavod: KMZ), 구소련파노라믹 카메라 (Panoramic camera)35mm 롤필름24×58mmHorizont권혜진 교수Y
431144495504폴라로이드 SX-701972폴라로이드 (Polaroid), 미국즉석 카메라 (Polaroid camera)인스턴트 롤필름79mm×79mmPolaroid SX-70이재구 박사Y
441147495506코니카 C35AF1977코니시로쿠 사진산업사 (KONICA), 일본컴팩트 카메라 (Compact camera)35mm 롤필름24×36mmKonica C35AF권혜진 교수Y
451151495502콘탁스 G1994교세라 (Kyocera), 일본레인지파인더 카메라 (RF:Range finder camera)35mm 롤필름24×36mmContax G이재구 박사Y
461153495505니콘 D11999니콘 (Nikon), 일본디지털 일안 반사식 카메라 (DSLR:Digital single lens reflex camera)컴팩트플래쉬(Type I or Type II, 2GB maximum)23.7 × 15.6 mm DX format, 200만 화소 CCD 이미지 센서Nikon D1이재구 박사Y
471156495505소니 A7R2013소니 (Sony), 일본미러리스 카메라 (Mirrorless Camera)메모리스틱 Pro Duo, Pro-HG Duo, SD, SDHC, SDXC24×36mm, 3640만 화소 CMOS 이미지 센서Sony A7R김주은 교수Y
481125495499베이비 브라우니 스페셜1939이스트만 코닥사 (Eastman Kodak Company), 미국박스 카메라 (Box camera)코닥 127 롤필름6×4cmBaby Brownie Special권혜진 교수Y
491119495502라이카 III1933에른스트 라이츠 (Ernst Leitz), 독일레인지파인더 카메라 (RF:Range finder camera)35mm 롤필름24×36mmLeica III김주은 교수Y
501140495502롤라이 351966프랑케&하이데케 (Franke&Heidecke), 서독일뷰파인더 카메라 (VF:Viewfinder camera)35mm 롤필름24×36mmRollei 35권혜진 교수Y