Overview

Dataset statistics

Number of variables3
Number of observations152
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.8 KiB
Average record size in memory25.9 B

Variable types

Numeric1
Text2

Dataset

Description한국남부발전(주)_해외사업 영문금융 용어 정보에 대한 데이터로 금융 관련 영문 용어, 각 용어 뜻 한글 풀이 항목을 제공합니다.
URLhttps://www.data.go.kr/data/15040962/fileData.do

Alerts

순번 has unique valuesUnique
영문용어 has unique valuesUnique

Reproduction

Analysis started2023-12-12 14:19:19.714342
Analysis finished2023-12-12 14:19:20.118718
Duration0.4 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct152
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean76.5
Minimum1
Maximum152
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-12-12T23:19:20.189349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8.55
Q138.75
median76.5
Q3114.25
95-th percentile144.45
Maximum152
Range151
Interquartile range (IQR)75.5

Descriptive statistics

Standard deviation44.022721
Coefficient of variation (CV)0.57546041
Kurtosis-1.2
Mean76.5
Median Absolute Deviation (MAD)38
Skewness0
Sum11628
Variance1938
MonotonicityStrictly increasing
2023-12-12T23:19:20.317660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.7%
106 1
 
0.7%
99 1
 
0.7%
100 1
 
0.7%
101 1
 
0.7%
102 1
 
0.7%
103 1
 
0.7%
104 1
 
0.7%
105 1
 
0.7%
107 1
 
0.7%
Other values (142) 142
93.4%
ValueCountFrequency (%)
1 1
0.7%
2 1
0.7%
3 1
0.7%
4 1
0.7%
5 1
0.7%
6 1
0.7%
7 1
0.7%
8 1
0.7%
9 1
0.7%
10 1
0.7%
ValueCountFrequency (%)
152 1
0.7%
151 1
0.7%
150 1
0.7%
149 1
0.7%
148 1
0.7%
147 1
0.7%
146 1
0.7%
145 1
0.7%
144 1
0.7%
143 1
0.7%

영문용어
Text

UNIQUE 

Distinct152
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-12T23:19:20.581291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length28
Mean length15.578947
Min length3

Characters and Unicode

Total characters2368
Distinct characters48
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique152 ?
Unique (%)100.0%

Sample

1st rowABS
2nd rowABCP
3rd rowaccounts receivable
4th rowaccident inssurance
5th rowacquisition
ValueCountFrequency (%)
stock 17
 
5.6%
capital 13
 
4.3%
of 7
 
2.3%
surplus 5
 
1.6%
plan 4
 
1.3%
right 4
 
1.3%
rights 4
 
1.3%
account 3
 
1.0%
consideration 3
 
1.0%
bond 3
 
1.0%
Other values (206) 242
79.3%
2023-12-12T23:19:20.982960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 232
 
9.8%
i 202
 
8.5%
t 193
 
8.2%
a 185
 
7.8%
r 164
 
6.9%
n 163
 
6.9%
162
 
6.8%
o 136
 
5.7%
s 133
 
5.6%
c 122
 
5.2%
Other values (38) 676
28.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2123
89.7%
Space Separator 162
 
6.8%
Uppercase Letter 58
 
2.4%
Close Punctuation 8
 
0.3%
Open Punctuation 8
 
0.3%
Dash Punctuation 4
 
0.2%
Other Punctuation 4
 
0.2%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 232
10.9%
i 202
 
9.5%
t 193
 
9.1%
a 185
 
8.7%
r 164
 
7.7%
n 163
 
7.7%
o 136
 
6.4%
s 133
 
6.3%
c 122
 
5.7%
l 84
 
4.0%
Other values (16) 509
24.0%
Uppercase Letter
ValueCountFrequency (%)
B 10
17.2%
C 9
15.5%
I 7
12.1%
S 6
10.3%
A 6
10.3%
P 5
8.6%
D 3
 
5.2%
E 2
 
3.4%
L 2
 
3.4%
F 2
 
3.4%
Other values (5) 6
10.3%
Other Punctuation
ValueCountFrequency (%)
, 3
75.0%
/ 1
 
25.0%
Space Separator
ValueCountFrequency (%)
162
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2181
92.1%
Common 187
 
7.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 232
10.6%
i 202
 
9.3%
t 193
 
8.8%
a 185
 
8.5%
r 164
 
7.5%
n 163
 
7.5%
o 136
 
6.2%
s 133
 
6.1%
c 122
 
5.6%
l 84
 
3.9%
Other values (31) 567
26.0%
Common
ValueCountFrequency (%)
162
86.6%
) 8
 
4.3%
( 8
 
4.3%
- 4
 
2.1%
, 3
 
1.6%
~ 1
 
0.5%
/ 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2368
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 232
 
9.8%
i 202
 
8.5%
t 193
 
8.2%
a 185
 
7.8%
r 164
 
6.9%
n 163
 
6.9%
162
 
6.8%
o 136
 
5.7%
s 133
 
5.6%
c 122
 
5.2%
Other values (38) 676
28.5%

뜻
Text

Distinct151
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-12T23:19:21.325517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length248
Median length81
Mean length18.328947
Min length2

Characters and Unicode

Total characters2786
Distinct characters320
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique150 ?
Unique (%)98.7%

Sample

1st row자산담보부증권
2nd row자산담보부기업어음
3rd row매출채권
4th row상해(재해)보험
5th row인수 매수 / Merger & Acquisition 기업 인수 합병
ValueCountFrequency (%)
수 10
 
1.5%
주식 9
 
1.4%
있는 8
 
1.2%
것 6
 
0.9%
증권 5
 
0.8%
또는 5
 
0.8%
4
 
0.6%
주주 4
 
0.6%
제도 3
 
0.5%
대출 3
 
0.5%
Other values (528) 597
91.3%
2023-12-12T23:19:21.819620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
546
 
19.6%
자 62
 
2.2%
권 60
 
2.2%
주 54
 
1.9%
의 42
 
1.5%
는 42
 
1.5%
금 41
 
1.5%
수 40
 
1.4%
( 37
 
1.3%
) 36
 
1.3%
Other values (310) 1826
65.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1966
70.6%
Space Separator 546
 
19.6%
Lowercase Letter 164
 
5.9%
Open Punctuation 38
 
1.4%
Close Punctuation 37
 
1.3%
Other Punctuation 15
 
0.5%
Uppercase Letter 15
 
0.5%
Decimal Number 3
 
0.1%
Math Symbol 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
자 62
 
3.2%
권 60
 
3.1%
주 54
 
2.7%
의 42
 
2.1%
는 42
 
2.1%
금 41
 
2.1%
수 40
 
2.0%
사 36
 
1.8%
이 36
 
1.8%
기 34
 
1.7%
Other values (262) 1519
77.3%
Lowercase Letter
ValueCountFrequency (%)
i 19
11.6%
r 19
11.6%
e 19
11.6%
a 13
 
7.9%
o 13
 
7.9%
t 12
 
7.3%
c 9
 
5.5%
n 9
 
5.5%
g 6
 
3.7%
s 6
 
3.7%
Other values (15) 39
23.8%
Uppercase Letter
ValueCountFrequency (%)
B 2
13.3%
A 2
13.3%
C 2
13.3%
D 2
13.3%
P 1
6.7%
S 1
6.7%
M 1
6.7%
L 1
6.7%
R 1
6.7%
I 1
6.7%
Other Punctuation
ValueCountFrequency (%)
. 10
66.7%
/ 3
 
20.0%
% 1
 
6.7%
& 1
 
6.7%
Open Punctuation
ValueCountFrequency (%)
( 37
97.4%
[ 1
 
2.6%
Close Punctuation
ValueCountFrequency (%)
) 36
97.3%
] 1
 
2.7%
Decimal Number
ValueCountFrequency (%)
1 2
66.7%
0 1
33.3%
Space Separator
ValueCountFrequency (%)
546
100.0%
Math Symbol
ValueCountFrequency (%)
= 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1953
70.1%
Common 641
 
23.0%
Latin 179
 
6.4%
Han 13
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
자 62
 
3.2%
권 60
 
3.1%
주 54
 
2.8%
의 42
 
2.2%
는 42
 
2.2%
금 41
 
2.1%
수 40
 
2.0%
사 36
 
1.8%
이 36
 
1.8%
기 34
 
1.7%
Other values (251) 1506
77.1%
Latin
ValueCountFrequency (%)
i 19
 
10.6%
r 19
 
10.6%
e 19
 
10.6%
a 13
 
7.3%
o 13
 
7.3%
t 12
 
6.7%
c 9
 
5.0%
n 9
 
5.0%
g 6
 
3.4%
s 6
 
3.4%
Other values (26) 54
30.2%
Common
ValueCountFrequency (%)
546
85.2%
( 37
 
5.8%
) 36
 
5.6%
. 10
 
1.6%
/ 3
 
0.5%
= 2
 
0.3%
1 2
 
0.3%
% 1
 
0.2%
0 1
 
0.2%
& 1
 
0.2%
Other values (2) 2
 
0.3%
Han
ValueCountFrequency (%)
引 2
15.4%
受 2
15.4%
發 1
7.7%
件 1
7.7%
條 1
7.7%
額 1
7.7%
價 1
7.7%
行 1
7.7%
權 1
7.7%
株 1
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1953
70.1%
ASCII 820
29.4%
CJK 13
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
546
66.6%
( 37
 
4.5%
) 36
 
4.4%
i 19
 
2.3%
r 19
 
2.3%
e 19
 
2.3%
a 13
 
1.6%
o 13
 
1.6%
t 12
 
1.5%
. 10
 
1.2%
Other values (38) 96
 
11.7%
Hangul
ValueCountFrequency (%)
자 62
 
3.2%
권 60
 
3.1%
주 54
 
2.8%
의 42
 
2.2%
는 42
 
2.2%
금 41
 
2.1%
수 40
 
2.0%
사 36
 
1.8%
이 36
 
1.8%
기 34
 
1.7%
Other values (251) 1506
77.1%
CJK
ValueCountFrequency (%)
引 2
15.4%
受 2
15.4%
發 1
7.7%
件 1
7.7%
條 1
7.7%
額 1
7.7%
價 1
7.7%
行 1
7.7%
權 1
7.7%
株 1
7.7%

Interactions

2023-12-12T23:19:19.905823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-12T23:19:20.012849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:19:20.085264image/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

순번영문용어뜻
01ABS자산담보부증권
12ABCP자산담보부기업어음
23accounts receivable매출채권
34accident inssurance상해(재해)보험
45acquisition인수 매수 / Merger & Acquisition 기업 인수 합병
56actuarial valuation보험 계리적 가치
67Advanced Payment Bond선수금환급보증
78affirmative action차별철폐조치(소수 민족과 여성의 교육 기회와 고용에 있어서)
89annual base salary연봉제
910appraiser자산(건물) 감정인
순번영문용어뜻
142143Issued capital common stock보통주자본금
143144Issued capital preferred stock우선주자본금
144145Capital Surplus자본잉여금
145146Share premium주식발행초과금
146147Gains capital reduction감자차익
147148Gains sale treasury stock자기주식처분이익
148149Consideration conversion rights, capital surplus전환권대가
149150Consideration stock warrants, capital surplus신주인수권대가
150151Consideration exchageable rights, capital surplus교환권대가
151152Other capital surplus기타자본잉여금