Overview

Dataset statistics

Number of variables6
Number of observations46
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.3 KiB
Average record size in memory51.9 B

Variable types

Numeric1
Text3
Categorical2

Dataset

DescriptionKOTRA에서 2015년 개최한 설명회를 위해 제작한 자료 목록입니다. 서명(설명회 제목)과 발간자료번호를 확인하실 수 있습니다.
Author대한무역투자진흥공사
URLhttps://www.data.go.kr/data/15044294/fileData.do

Alerts

총서명 has constant value ""Constant
구분 has unique valuesUnique
자료명 has unique valuesUnique
총서번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 17:42:00.071569
Analysis finished2023-12-12 17:42:00.667000
Duration0.6 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Real number (ℝ)

UNIQUE 

Distinct46
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.5
Minimum1
Maximum46
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-13T02:42:00.743072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.25
Q112.25
median23.5
Q334.75
95-th percentile43.75
Maximum46
Range45
Interquartile range (IQR)22.5

Descriptive statistics

Standard deviation13.422618
Coefficient of variation (CV)0.57117522
Kurtosis-1.2
Mean23.5
Median Absolute Deviation (MAD)11.5
Skewness0
Sum1081
Variance180.16667
MonotonicityStrictly increasing
2023-12-13T02:42:00.885073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
1 1
 
2.2%
36 1
 
2.2%
27 1
 
2.2%
28 1
 
2.2%
29 1
 
2.2%
30 1
 
2.2%
31 1
 
2.2%
32 1
 
2.2%
33 1
 
2.2%
34 1
 
2.2%
Other values (36) 36
78.3%
ValueCountFrequency (%)
1 1
2.2%
2 1
2.2%
3 1
2.2%
4 1
2.2%
5 1
2.2%
6 1
2.2%
7 1
2.2%
8 1
2.2%
9 1
2.2%
10 1
2.2%
ValueCountFrequency (%)
46 1
2.2%
45 1
2.2%
44 1
2.2%
43 1
2.2%
42 1
2.2%
41 1
2.2%
40 1
2.2%
39 1
2.2%
38 1
2.2%
37 1
2.2%

자료명
Text

UNIQUE 

Distinct46
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size500.0 B
2023-12-13T02:42:01.248677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length93
Median length45.5
Mean length31.108696
Min length13

Characters and Unicode

Total characters1431
Distinct characters218
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique46 ?
Unique (%)100.0%

Sample

1st row2015 KOTRA 세계시장 진출전략 설명회
2nd row2015 글로벌 투자유치전략 설명회
3rd row2015 주요 전략시장 긴급점검 설명회
4th row2015 달라지는 FTA 환경과 우리기업 대응전략
5th row코트라 해외수주협의회 제18차 수요포럼
ValueCountFrequency (%)
설명회 18
 
6.3%
2015 12
 
4.2%
10
 
3.5%
세미나 5
 
1.8%
korea 5
 
1.8%
forum 5
 
1.8%
global 4
 
1.4%
시장 4
 
1.4%
진출 4
 
1.4%
fta 4
 
1.4%
Other values (171) 213
75.0%
2023-12-13T02:42:01.803308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
238
 
16.6%
e 41
 
2.9%
o 39
 
2.7%
a 31
 
2.2%
회 28
 
2.0%
t 27
 
1.9%
n 27
 
1.9%
r 26
 
1.8%
l 20
 
1.4%
i 20
 
1.4%
Other values (208) 934
65.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 625
43.7%
Lowercase Letter 326
22.8%
Space Separator 238
 
16.6%
Uppercase Letter 130
 
9.1%
Decimal Number 73
 
5.1%
Other Punctuation 19
 
1.3%
Close Punctuation 6
 
0.4%
Open Punctuation 6
 
0.4%
Dash Punctuation 6
 
0.4%
Math Symbol 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
회 28
 
4.5%
명 20
 
3.2%
설 19
 
3.0%
전 17
 
2.7%
자 17
 
2.7%
출 16
 
2.6%
외 15
 
2.4%
시 14
 
2.2%
진 13
 
2.1%
국 12
 
1.9%
Other values (149) 454
72.6%
Lowercase Letter
ValueCountFrequency (%)
e 41
12.6%
o 39
12.0%
a 31
9.5%
t 27
 
8.3%
n 27
 
8.3%
r 26
 
8.0%
l 20
 
6.1%
i 20
 
6.1%
s 13
 
4.0%
u 11
 
3.4%
Other values (14) 71
21.8%
Uppercase Letter
ValueCountFrequency (%)
F 16
12.3%
A 16
12.3%
P 13
10.0%
T 11
8.5%
G 10
 
7.7%
K 9
 
6.9%
I 9
 
6.9%
O 7
 
5.4%
B 7
 
5.4%
D 7
 
5.4%
Other values (9) 25
19.2%
Decimal Number
ValueCountFrequency (%)
2 19
26.0%
1 19
26.0%
0 14
19.2%
5 13
17.8%
3 3
 
4.1%
8 2
 
2.7%
6 2
 
2.7%
9 1
 
1.4%
Other Punctuation
ValueCountFrequency (%)
: 9
47.4%
, 6
31.6%
· 4
21.1%
Space Separator
ValueCountFrequency (%)
238
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Math Symbol
ValueCountFrequency (%)
= 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 619
43.3%
Latin 456
31.9%
Common 350
24.5%
Han 6
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
회 28
 
4.5%
명 20
 
3.2%
설 19
 
3.1%
전 17
 
2.7%
자 17
 
2.7%
출 16
 
2.6%
외 15
 
2.4%
시 14
 
2.3%
진 13
 
2.1%
국 12
 
1.9%
Other values (143) 448
72.4%
Latin
ValueCountFrequency (%)
e 41
 
9.0%
o 39
 
8.6%
a 31
 
6.8%
t 27
 
5.9%
n 27
 
5.9%
r 26
 
5.7%
l 20
 
4.4%
i 20
 
4.4%
F 16
 
3.5%
A 16
 
3.5%
Other values (33) 193
42.3%
Common
ValueCountFrequency (%)
238
68.0%
2 19
 
5.4%
1 19
 
5.4%
0 14
 
4.0%
5 13
 
3.7%
: 9
 
2.6%
) 6
 
1.7%
, 6
 
1.7%
( 6
 
1.7%
- 6
 
1.7%
Other values (6) 14
 
4.0%
Han
ValueCountFrequency (%)
韓 1
16.7%
對 1
16.7%
新 1
16.7%
氣 1
16.7%
中 1
16.7%
戰 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 802
56.0%
Hangul 619
43.3%
CJK 6
 
0.4%
None 4
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
238
29.7%
e 41
 
5.1%
o 39
 
4.9%
a 31
 
3.9%
t 27
 
3.4%
n 27
 
3.4%
r 26
 
3.2%
l 20
 
2.5%
i 20
 
2.5%
2 19
 
2.4%
Other values (48) 314
39.2%
Hangul
ValueCountFrequency (%)
회 28
 
4.5%
명 20
 
3.2%
설 19
 
3.1%
전 17
 
2.7%
자 17
 
2.7%
출 16
 
2.6%
외 15
 
2.4%
시 14
 
2.3%
진 13
 
2.1%
국 12
 
1.9%
Other values (143) 448
72.4%
None
ValueCountFrequency (%)
· 4
100.0%
CJK
ValueCountFrequency (%)
韓 1
16.7%
對 1
16.7%
新 1
16.7%
氣 1
16.7%
中 1
16.7%
戰 1
16.7%

저자
Text

Distinct30
Distinct (%)65.2%
Missing0
Missing (%)0.0%
Memory size500.0 B
2023-12-13T02:42:02.035299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length25
Mean length15.021739
Min length9

Characters and Unicode

Total characters691
Distinct characters100
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)43.5%

Sample

1st rowKOTRA 정부3.0추진팀
2nd rowKOTRA Invest Korea 투자정보팀
3rd rowKOTRA 신흥시장팀
4th rowKOTRA 통상지원총괄팀
5th rowKOTRA 프로젝트총괄팀
ValueCountFrequency (%)
kotra 46
41.4%
invest 9
 
8.1%
korea 9
 
8.1%
해외프로젝트사업단 4
 
3.6%
전략지역유치팀 3
 
2.7%
투자정보팀 3
 
2.7%
구미팀 3
 
2.7%
해외투자지원단 3
 
2.7%
신흥시장팀 2
 
1.8%
제조업유치팀 2
 
1.8%
Other values (23) 27
24.3%
2023-12-13T02:42:02.460387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
65
 
9.4%
K 55
 
8.0%
T 46
 
6.7%
R 46
 
6.7%
A 46
 
6.7%
O 46
 
6.7%
팀 33
 
4.8%
e 18
 
2.6%
업 17
 
2.5%
지 13
 
1.9%
Other values (90) 306
44.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 287
41.5%
Uppercase Letter 253
36.6%
Lowercase Letter 83
 
12.0%
Space Separator 65
 
9.4%
Decimal Number 2
 
0.3%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
팀 33
 
11.5%
업 17
 
5.9%
지 13
 
4.5%
단 12
 
4.2%
사 10
 
3.5%
유 9
 
3.1%
원 8
 
2.8%
투 7
 
2.4%
자 7
 
2.4%
치 7
 
2.4%
Other values (69) 164
57.1%
Uppercase Letter
ValueCountFrequency (%)
K 55
21.7%
T 46
18.2%
R 46
18.2%
A 46
18.2%
O 46
18.2%
I 10
 
4.0%
G 2
 
0.8%
S 1
 
0.4%
C 1
 
0.4%
Lowercase Letter
ValueCountFrequency (%)
e 18
21.7%
o 10
12.0%
t 10
12.0%
n 9
10.8%
v 9
10.8%
s 9
10.8%
r 9
10.8%
a 9
10.8%
Decimal Number
ValueCountFrequency (%)
3 1
50.0%
0 1
50.0%
Space Separator
ValueCountFrequency (%)
65
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 336
48.6%
Hangul 287
41.5%
Common 68
 
9.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
팀 33
 
11.5%
업 17
 
5.9%
지 13
 
4.5%
단 12
 
4.2%
사 10
 
3.5%
유 9
 
3.1%
원 8
 
2.8%
투 7
 
2.4%
자 7
 
2.4%
치 7
 
2.4%
Other values (69) 164
57.1%
Latin
ValueCountFrequency (%)
K 55
16.4%
T 46
13.7%
R 46
13.7%
A 46
13.7%
O 46
13.7%
e 18
 
5.4%
o 10
 
3.0%
t 10
 
3.0%
I 10
 
3.0%
n 9
 
2.7%
Other values (7) 40
11.9%
Common
ValueCountFrequency (%)
65
95.6%
3 1
 
1.5%
. 1
 
1.5%
0 1
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 404
58.5%
Hangul 287
41.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
65
16.1%
K 55
13.6%
T 46
11.4%
R 46
11.4%
A 46
11.4%
O 46
11.4%
e 18
 
4.5%
o 10
 
2.5%
t 10
 
2.5%
I 10
 
2.5%
Other values (11) 52
12.9%
Hangul
ValueCountFrequency (%)
팀 33
 
11.5%
업 17
 
5.9%
지 13
 
4.5%
단 12
 
4.2%
사 10
 
3.5%
유 9
 
3.1%
원 8
 
2.8%
투 7
 
2.4%
자 7
 
2.4%
치 7
 
2.4%
Other values (69) 164
57.1%

출판사
Categorical

Distinct3
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size500.0 B
KOTRA
36 
KOTRA Invest Korea
9 
KOTRA, 한국무역협회 (KITA) 차이나데스크
 
1

Length

Max length27
Median length5
Mean length8.0217391
Min length5

Unique

Unique1 ?
Unique (%)2.2%

Sample

1st rowKOTRA
2nd rowKOTRA Invest Korea
3rd rowKOTRA
4th rowKOTRA
5th rowKOTRA

Common Values

ValueCountFrequency (%)
KOTRA 36
78.3%
KOTRA Invest Korea 9
 
19.6%
KOTRA, 한국무역협회 (KITA) 차이나데스크 1
 
2.2%

Length

2023-12-13T02:42:02.617620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:42:02.745758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
kotra 46
68.7%
invest 9
 
13.4%
korea 9
 
13.4%
한국무역협회 1
 
1.5%
kita 1
 
1.5%
차이나데스크 1
 
1.5%

총서명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size500.0 B
설명회자료
46 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
설명회자료 46
100.0%

Length

2023-12-13T02:42:02.898091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:42:02.995860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
설명회자료 46
100.0%

총서번호
Text

UNIQUE 

Distinct46
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size500.0 B
2023-12-13T02:42:03.234721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters276
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique46 ?
Unique (%)100.0%

Sample

1st row15-001
2nd row15-002
3rd row15-003
4th row15-004
5th row15-005
ValueCountFrequency (%)
15-001 1
 
2.2%
15-034 1
 
2.2%
15-045 1
 
2.2%
15-026 1
 
2.2%
15-027 1
 
2.2%
15-028 1
 
2.2%
15-029 1
 
2.2%
15-030 1
 
2.2%
15-031 1
 
2.2%
15-032 1
 
2.2%
Other values (36) 36
78.3%
2023-12-13T02:42:03.660515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 61
22.1%
0 59
21.4%
5 51
18.5%
- 46
16.7%
2 15
 
5.4%
3 15
 
5.4%
4 12
 
4.3%
6 5
 
1.8%
7 4
 
1.4%
8 4
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 230
83.3%
Dash Punctuation 46
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 61
26.5%
0 59
25.7%
5 51
22.2%
2 15
 
6.5%
3 15
 
6.5%
4 12
 
5.2%
6 5
 
2.2%
7 4
 
1.7%
8 4
 
1.7%
9 4
 
1.7%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 276
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 61
22.1%
0 59
21.4%
5 51
18.5%
- 46
16.7%
2 15
 
5.4%
3 15
 
5.4%
4 12
 
4.3%
6 5
 
1.8%
7 4
 
1.4%
8 4
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 276
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 61
22.1%
0 59
21.4%
5 51
18.5%
- 46
16.7%
2 15
 
5.4%
3 15
 
5.4%
4 12
 
4.3%
6 5
 
1.8%
7 4
 
1.4%
8 4
 
1.4%

Interactions

2023-12-13T02:42:00.375572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T02:42:03.769496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분자료명저자출판사총서번호
구분1.0001.0000.8070.2651.000
자료명1.0001.0001.0001.0001.000
저자0.8071.0001.0001.0001.000
출판사0.2651.0001.0001.0001.000
총서번호1.0001.0001.0001.0001.000
2023-12-13T02:42:03.896860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분출판사
구분1.0000.143
출판사0.1431.000

Missing values

2023-12-13T02:42:00.501731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T02:42:00.622709image/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.

Sample

구분자료명저자출판사총서명총서번호
012015 KOTRA 세계시장 진출전략 설명회KOTRA 정부3.0추진팀KOTRA설명회자료15-001
122015 글로벌 투자유치전략 설명회KOTRA Invest Korea 투자정보팀KOTRA Invest Korea설명회자료15-002
232015 주요 전략시장 긴급점검 설명회KOTRA 신흥시장팀KOTRA설명회자료15-003
342015 달라지는 FTA 환경과 우리기업 대응전략KOTRA 통상지원총괄팀KOTRA설명회자료15-004
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