Overview

Dataset statistics

Number of variables6
Number of observations31
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.6 KiB
Average record size in memory54.3 B

Variable types

Categorical4
Text1
Numeric1

Dataset

Description국내증권 차등평가모형 지표에 대한 데이터이며 차등모형 평가의 세부 평가항목과 평가지표에 대한 정보를 제공합니다. (zip 파일 내 png 형식의 파일 제공) 1. 국내 투자매매업자, 투자중개업자 2. 투자매매업자, 투자중개업자 3. 집합투자업자
Author공공데이터포털
URLhttps://www.data.go.kr/data/15105207/fileData.do

Alerts

기준연도 has constant value ""Constant
배점 is highly overall correlated with 평가부문High correlation
평가부문 is highly overall correlated with 배점 and 1 other fieldsHigh correlation
평가항목 is highly overall correlated with 평가부문High correlation

Reproduction

Analysis started2024-04-17 15:03:23.163834
Analysis finished2024-04-17 15:03:23.550477
Duration0.39 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준연도
Categorical

CONSTANT 

Distinct1
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023
31 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023
2nd row2023
3rd row2023
4th row2023
5th row2023

Common Values

ValueCountFrequency (%)
2023 31
100.0%

Length

2024-04-18T00:03:23.597241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T00:03:23.666343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023 31
100.0%

대상 구분
Categorical

Distinct3
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Memory size380.0 B
국내투자매매업자/투자중개업자Ⅰ
14 
투자매매업자/투자중개업자Ⅱ
9 
집합투자업자
8 

Length

Max length16
Median length14
Mean length12.83871
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row국내투자매매업자/투자중개업자Ⅰ
2nd row국내투자매매업자/투자중개업자Ⅰ
3rd row국내투자매매업자/투자중개업자Ⅰ
4th row국내투자매매업자/투자중개업자Ⅰ
5th row국내투자매매업자/투자중개업자Ⅰ

Common Values

ValueCountFrequency (%)
국내투자매매업자/투자중개업자Ⅰ 14
45.2%
투자매매업자/투자중개업자Ⅱ 9
29.0%
집합투자업자 8
25.8%

Length

2024-04-18T00:03:23.736316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T00:03:23.812248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국내투자매매업자/투자중개업자ⅰ 14
45.2%
투자매매업자/투자중개업자ⅱ 9
29.0%
집합투자업자 8
25.8%

평가부문
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
재무
19 
비재무
12 

Length

Max length3
Median length2
Mean length2.3870968
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
재무 19
61.3%
비재무 12
38.7%

Length

2024-04-18T00:03:23.899230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T00:03:23.975182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
재무 19
61.3%
비재무 12
38.7%

평가항목
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)29.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
수익성
6 
자본적정성
5 
재무보완
5 
위험관리/내부통제
3 
부실예방조치 부과 여부
3 
Other values (4)
9 

Length

Max length12
Median length7
Mean length6.2580645
Min length3

Unique

Unique1 ?
Unique (%)3.2%

Sample

1st row자본적정성
2nd row자본적정성
3rd row자산건전성
4th row수익성
5th row수익성

Common Values

ValueCountFrequency (%)
수익성 6
19.4%
자본적정성 5
16.1%
재무보완 5
16.1%
위험관리/내부통제 3
9.7%
부실예방조치 부과 여부 3
9.7%
예금보험업무 이행 여부 3
9.7%
비재무보완평가 3
9.7%
유동성 2
 
6.5%
자산건전성 1
 
3.2%

Length

2024-04-18T00:03:24.049152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T00:03:24.137066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수익성 6
14.0%
여부 6
14.0%
자본적정성 5
11.6%
재무보완 5
11.6%
위험관리/내부통제 3
7.0%
부실예방조치 3
7.0%
부과 3
7.0%
예금보험업무 3
7.0%
이행 3
7.0%
비재무보완평가 3
7.0%
Other values (2) 3
7.0%

평가지표
Text

Distinct21
Distinct (%)67.7%
Missing0
Missing (%)0.0%
Memory size380.0 B
2024-04-18T00:03:24.310206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length22
Mean length15.419355
Min length4

Characters and Unicode

Total characters478
Distinct characters93
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)41.9%

Sample

1st row순자본비율1
2nd row조정레버리지비율
3rd row고정이하자산비율
4th row자기자본이익률
5th row위험조정이익률
ValueCountFrequency (%)
적기시정조치 3
 
4.0%
정확도 3
 
4.0%
발생현황/회계업무의 3
 
4.0%
현황/금융사고의 3
 
4.0%
부과 3
 
4.0%
처분 3
 
4.0%
제재현황/금융당국의 3
 
4.0%
금융당국의 3
 
4.0%
등 3
 
4.0%
자료제출의 3
 
4.0%
Other values (27) 45
60.0%
2024-04-18T00:03:24.586764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
44
 
9.2%
/ 22
 
4.6%
의 19
 
4.0%
자 17
 
3.6%
율 16
 
3.3%
비 16
 
3.3%
금 13
 
2.7%
부 13
 
2.7%
험 11
 
2.3%
정 11
 
2.3%
Other values (83) 296
61.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 408
85.4%
Space Separator 44
 
9.2%
Other Punctuation 22
 
4.6%
Decimal Number 2
 
0.4%
Uppercase Letter 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 19
 
4.7%
자 17
 
4.2%
율 16
 
3.9%
비 16
 
3.9%
금 13
 
3.2%
부 13
 
3.2%
험 11
 
2.7%
정 11
 
2.7%
융 10
 
2.5%
여 9
 
2.2%
Other values (78) 273
66.9%
Uppercase Letter
ValueCountFrequency (%)
F 1
50.0%
P 1
50.0%
Space Separator
ValueCountFrequency (%)
44
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 22
100.0%
Decimal Number
ValueCountFrequency (%)
1 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 408
85.4%
Common 68
 
14.2%
Latin 2
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 19
 
4.7%
자 17
 
4.2%
율 16
 
3.9%
비 16
 
3.9%
금 13
 
3.2%
부 13
 
3.2%
험 11
 
2.7%
정 11
 
2.7%
융 10
 
2.5%
여 9
 
2.2%
Other values (78) 273
66.9%
Common
ValueCountFrequency (%)
44
64.7%
/ 22
32.4%
1 2
 
2.9%
Latin
ValueCountFrequency (%)
F 1
50.0%
P 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 408
85.4%
ASCII 70
 
14.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
44
62.9%
/ 22
31.4%
1 2
 
2.9%
F 1
 
1.4%
P 1
 
1.4%
Hangul
ValueCountFrequency (%)
의 19
 
4.7%
자 17
 
4.2%
율 16
 
3.9%
비 16
 
3.9%
금 13
 
3.2%
부 13
 
3.2%
험 11
 
2.7%
정 11
 
2.7%
융 10
 
2.5%
여 9
 
2.2%
Other values (78) 273
66.9%

배점
Real number (ℝ)

HIGH CORRELATION 

Distinct10
Distinct (%)32.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.6774194
Minimum1
Maximum40
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2024-04-18T00:03:24.681711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median10
Q315
95-th percentile27.5
Maximum40
Range39
Interquartile range (IQR)12

Descriptive statistics

Standard deviation9.2064727
Coefficient of variation (CV)0.95133551
Kurtosis4.1096843
Mean9.6774194
Median Absolute Deviation (MAD)6
Skewness1.8706131
Sum300
Variance84.75914
MonotonicityNot monotonic
2024-04-18T00:03:24.768110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
10 7
22.6%
15 6
19.4%
3 4
12.9%
4 3
9.7%
2 3
9.7%
1 3
9.7%
6 2
 
6.5%
35 1
 
3.2%
40 1
 
3.2%
20 1
 
3.2%
ValueCountFrequency (%)
1 3
9.7%
2 3
9.7%
3 4
12.9%
4 3
9.7%
6 2
 
6.5%
10 7
22.6%
15 6
19.4%
20 1
 
3.2%
35 1
 
3.2%
40 1
 
3.2%
ValueCountFrequency (%)
40 1
 
3.2%
35 1
 
3.2%
20 1
 
3.2%
15 6
19.4%
10 7
22.6%
6 2
 
6.5%
4 3
9.7%
3 4
12.9%
2 3
9.7%
1 3
9.7%

Interactions

2024-04-18T00:03:23.354430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-18T00:03:24.838600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대상 구분평가부문평가항목평가지표배점
대상 구분1.0000.0000.0000.0000.454
평가부문0.0001.0001.0001.0000.848
평가항목0.0001.0001.0000.9900.513
평가지표0.0001.0000.9901.0000.971
배점0.4540.8480.5130.9711.000
2024-04-18T00:03:24.916397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
평가항목평가부문대상 구분
평가항목1.0000.8710.000
평가부문0.8711.0000.000
대상 구분0.0000.0001.000
2024-04-18T00:03:24.988425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
배점대상 구분평가부문평가항목
배점1.0000.3080.8350.272
대상 구분0.3081.0000.0000.000
평가부문0.8350.0001.0000.871
평가항목0.2720.0000.8711.000

Missing values

2024-04-18T00:03:23.444822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-18T00:03:23.519502image/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

기준연도대상 구분평가부문평가항목평가지표배점
02023국내투자매매업자/투자중개업자Ⅰ재무자본적정성순자본비율115
12023국내투자매매업자/투자중개업자Ⅰ재무자본적정성조정레버리지비율10
22023국내투자매매업자/투자중개업자Ⅰ재무자산건전성고정이하자산비율10
32023국내투자매매업자/투자중개업자Ⅰ재무수익성자기자본이익률10
42023국내투자매매업자/투자중개업자Ⅰ재무수익성위험조정이익률10
52023국내투자매매업자/투자중개업자Ⅰ재무유동성영업용순자본차감항목비율10
62023국내투자매매업자/투자중개업자Ⅰ재무유동성유동성비율10
72023국내투자매매업자/투자중개업자Ⅰ재무재무보완부동산PF채무보증비율6
82023국내투자매매업자/투자중개업자Ⅰ재무재무보완신용노출자산비율6
92023국내투자매매업자/투자중개업자Ⅰ재무재무보완파생결합증권자체헤지비율3
기준연도대상 구분평가부문평가항목평가지표배점
212023투자매매업자/투자중개업자Ⅱ비재무예금보험업무 이행 여부예금보험관계 표시/설명/확인 의무 이행여부/ 자료제출의 정확도1
222023투자매매업자/투자중개업자Ⅱ비재무비재무보완평가소송발생비율3
232023집합투자업자재무자본적정성자기자본비율40
242023집합투자업자재무수익성총자산순이익률20
252023집합투자업자재무수익성수지비율15
262023집합투자업자재무재무보완수탁고증감율15
272023집합투자업자비재무위험관리/내부통제금융당국의 제재현황/금융당국의 처분 등 현황/금융사고의 발생현황/회계업무의 투명성4
282023집합투자업자비재무부실예방조치 부과 여부적기시정조치 부과 여부/보험사고 위험여부2
292023집합투자업자비재무예금보험업무 이행 여부예금보험관계 표시/설명/확인 의무 이행여부/ 자료제출의 정확도1
302023집합투자업자비재무비재무보완평가소송발생비율3