Overview

Dataset statistics

Number of variables12
Number of observations160
Missing cells764
Missing cells (%)39.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory15.8 KiB
Average record size in memory100.8 B

Variable types

Categorical6
Numeric3
Text3

Dataset

Description대출(개인대출, 기업대출, 신탁대출) 및 예수금(수시입출금, 정기예금, 정기적금), 산업금융채권, CD, RP 등 금융상품별 취급 금리를 공공데이터로 개방
Author한국산업은행
URLhttps://www.data.go.kr/data/15008289/fileData.do

Alerts

금리(연평균수익률) is highly overall correlated with 금리 and 2 other fieldsHigh correlation
상품 is highly overall correlated with 금리 and 5 other fieldsHigh correlation
비고 is highly overall correlated with 금리 and 4 other fieldsHigh correlation
종류 is highly overall correlated with 금리 and 4 other fieldsHigh correlation
고객 is highly overall correlated with 금리 and 3 other fieldsHigh correlation
금리 is highly overall correlated with 상품 and 5 other fieldsHigh correlation
기본금리 is highly overall correlated with 기본금리(연평균수익률) and 3 other fieldsHigh correlation
기본금리(연평균수익률) is highly overall correlated with 기본금리 and 2 other fieldsHigh correlation
기간 is highly overall correlated with 금리 and 1 other fieldsHigh correlation
금리(연평균수익률) is highly imbalanced (85.7%)Imbalance
금리 has 145 (90.6%) missing valuesMissing
기본금리 has 35 (21.9%) missing valuesMissing
기본금리(연평균수익률) has 148 (92.5%) missing valuesMissing
할인율 has 141 (88.1%) missing valuesMissing
할인율(연평균수익률) has 141 (88.1%) missing valuesMissing
금액 has 154 (96.2%) missing valuesMissing

Reproduction

Analysis started2024-04-06 08:50:12.936981
Analysis finished2024-04-06 08:50:18.402605
Duration5.47 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

상품
Categorical

HIGH CORRELATION 

Distinct21
Distinct (%)13.1%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
환매채
20 
양도성예금증서
20 
외화정기예금
16 
하이플러스외화정기예금
16 
거치식상품_KDBdream*기업정기예금(법인)
12 
Other values (16)
76 

Length

Max length26
Median length22
Mean length12.80625
Min length3

Unique

Unique3 ?
Unique (%)1.9%

Sample

1st row수시입출금식상품_Hi(비대면)입출금통장
2nd row수시입출금식상품_KDBdreamAccount
3rd row거치식상품_Hi정기예금
4th row거치식상품_KDB정기예금
5th row거치식상품_KDB정기예금

Common Values

ValueCountFrequency (%)
환매채 20
12.5%
양도성예금증서 20
12.5%
외화정기예금 16
10.0%
하이플러스외화정기예금 16
10.0%
거치식상품_KDBdream*기업정기예금(법인) 12
 
7.5%
거치식상품_KDB정기예금 12
 
7.5%
거치식상품_KDB정기예금(법인) 12
 
7.5%
거치식상품_KDBdream자유자재정기예금 6
 
3.8%
적립식상품_데일리플러스자유적금 6
 
3.8%
거치식상품_KDBdream*자유자재정기예금 6
 
3.8%
Other values (11) 34
21.2%

Length

2024-04-06T17:50:18.741524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
환매채 20
12.5%
양도성예금증서 20
12.5%
외화정기예금 16
10.0%
하이플러스외화정기예금 16
10.0%
거치식상품_kdbdream*기업정기예금(법인 12
 
7.5%
거치식상품_kdb정기예금 12
 
7.5%
거치식상품_kdb정기예금(법인 12
 
7.5%
거치식상품_kdbdream*자유자재정기예금 6
 
3.8%
newstart산금채 6
 
3.8%
거치식상품_kdbdream정기예금 6
 
3.8%
Other values (11) 34
21.2%

고객
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
개인용
84 
법인용
76 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
개인용 84
52.5%
법인용 76
47.5%

Length

2024-04-06T17:50:19.082146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:50:19.981824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인용 84
52.5%
법인용 76
47.5%

종류
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
92 
만기지급식
33 
월이자지급식
21 
자유적립액
 
3
자투리Daily절약액
 
3
Other values (3)
 
8

Length

Max length11
Median length4
Mean length4.80625
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 92
57.5%
만기지급식 33
 
20.6%
월이자지급식 21
 
13.1%
자유적립액 3
 
1.9%
자투리Daily절약액 3
 
1.9%
영업점_우대적용 3
 
1.9%
온라인_최고금리 3
 
1.9%
중견,중소기업 2
 
1.2%

Length

2024-04-06T17:50:20.291395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:50:20.774286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 92
57.5%
만기지급식 33
 
20.6%
월이자지급식 21
 
13.1%
자유적립액 3
 
1.9%
자투리daily절약액 3
 
1.9%
영업점_우대적용 3
 
1.9%
온라인_최고금리 3
 
1.9%
중견,중소기업 2
 
1.2%

기간
Categorical

HIGH CORRELATION 

Distinct21
Distinct (%)13.1%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
1년
18 
3년
16 
6개월
15 
2년
13 
1개월
12 
Other values (16)
86 

Length

Max length4
Median length3
Mean length2.89375
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row1년
4th row1개월
5th row3개월

Common Values

ValueCountFrequency (%)
1년 18
 
11.2%
3년 16
 
10.0%
6개월 15
 
9.4%
2년 13
 
8.1%
1개월 12
 
7.5%
3개월 12
 
7.5%
<NA> 8
 
5.0%
9개월 8
 
5.0%
2개월 8
 
5.0%
2년이상 5
 
3.1%
Other values (11) 45
28.1%

Length

2024-04-06T17:50:21.305094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
1년 18
 
11.2%
3년 16
 
10.0%
6개월 15
 
9.4%
2년 13
 
8.1%
1개월 12
 
7.5%
3개월 12
 
7.5%
na 8
 
5.0%
9개월 8
 
5.0%
2개월 8
 
5.0%
1년이상 5
 
3.1%
Other values (11) 45
28.1%

금리
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct9
Distinct (%)60.0%
Missing145
Missing (%)90.6%
Infinite0
Infinite (%)0.0%
Mean2.46
Minimum1.25
Maximum3.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-04-06T17:50:21.645512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.25
5-th percentile1.425
Q11.65
median2.3
Q33.25
95-th percentile3.3
Maximum3.3
Range2.05
Interquartile range (IQR)1.6

Descriptive statistics

Standard deviation0.81748744
Coefficient of variation (CV)0.33231197
Kurtosis-1.950875
Mean2.46
Median Absolute Deviation (MAD)0.9
Skewness-0.12624339
Sum36.9
Variance0.66828571
MonotonicityNot monotonic
2024-04-06T17:50:21.938943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
3.3 3
 
1.9%
3.25 3
 
1.9%
1.65 3
 
1.9%
2.3 1
 
0.6%
2.2 1
 
0.6%
3.2 1
 
0.6%
1.25 1
 
0.6%
1.5 1
 
0.6%
1.85 1
 
0.6%
(Missing) 145
90.6%
ValueCountFrequency (%)
1.25 1
 
0.6%
1.5 1
 
0.6%
1.65 3
1.9%
1.85 1
 
0.6%
2.2 1
 
0.6%
2.3 1
 
0.6%
3.2 1
 
0.6%
3.25 3
1.9%
3.3 3
1.9%
ValueCountFrequency (%)
3.3 3
1.9%
3.25 3
1.9%
3.2 1
 
0.6%
2.3 1
 
0.6%
2.2 1
 
0.6%
1.85 1
 
0.6%
1.65 3
1.9%
1.5 1
 
0.6%
1.25 1
 
0.6%

금리(연평균수익률)
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
154 
3.34
 
3
3.4
 
2
3.29
 
1

Length

Max length4
Median length4
Mean length3.9875
Min length3

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 154
96.2%
3.34 3
 
1.9%
3.4 2
 
1.2%
3.29 1
 
0.6%

Length

2024-04-06T17:50:22.295579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:50:22.769900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 154
96.2%
3.34 3
 
1.9%
3.4 2
 
1.2%
3.29 1
 
0.6%

기본금리
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct50
Distinct (%)40.0%
Missing35
Missing (%)21.9%
Infinite0
Infinite (%)0.0%
Mean3.45208
Minimum2
Maximum5.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-04-06T17:50:23.250008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2.1
Q12.65
median2.99
Q35.16
95-th percentile5.53
Maximum5.6
Range3.6
Interquartile range (IQR)2.51

Descriptive statistics

Standard deviation1.2115075
Coefficient of variation (CV)0.35095001
Kurtosis-0.9718763
Mean3.45208
Median Absolute Deviation (MAD)0.51
Skewness0.78383648
Sum431.51
Variance1.4677505
MonotonicityNot monotonic
2024-04-06T17:50:23.680898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.7 16
 
10.0%
2.3 8
 
5.0%
2.6 6
 
3.8%
5.6 4
 
2.5%
5.53 4
 
2.5%
5.46 4
 
2.5%
5.41 4
 
2.5%
5.36 4
 
2.5%
5.32 4
 
2.5%
5.24 4
 
2.5%
Other values (40) 67
41.9%
(Missing) 35
21.9%
ValueCountFrequency (%)
2.0 4
2.5%
2.05 2
 
1.2%
2.1 4
2.5%
2.2 2
 
1.2%
2.3 8
5.0%
2.4 2
 
1.2%
2.5 3
 
1.9%
2.6 6
3.8%
2.65 2
 
1.2%
2.67 2
 
1.2%
ValueCountFrequency (%)
5.6 4
2.5%
5.53 4
2.5%
5.46 4
2.5%
5.41 4
2.5%
5.36 4
2.5%
5.32 4
2.5%
5.24 4
2.5%
5.16 4
2.5%
3.94 1
 
0.6%
3.91 1
 
0.6%

기본금리(연평균수익률)
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct6
Distinct (%)50.0%
Missing148
Missing (%)92.5%
Infinite0
Infinite (%)0.0%
Mean2.7066667
Minimum2.5
Maximum2.81
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-04-06T17:50:24.008839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.5
5-th percentile2.5
Q12.71
median2.725
Q32.77
95-th percentile2.81
Maximum2.81
Range0.31
Interquartile range (IQR)0.06

Descriptive statistics

Standard deviation0.10280903
Coefficient of variation (CV)0.037983632
Kurtosis1.4806827
Mean2.7066667
Median Absolute Deviation (MAD)0.03
Skewness-1.4967182
Sum32.48
Variance0.010569697
MonotonicityNot monotonic
2024-04-06T17:50:24.403755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2.5 2
 
1.2%
2.71 2
 
1.2%
2.72 2
 
1.2%
2.73 2
 
1.2%
2.77 2
 
1.2%
2.81 2
 
1.2%
(Missing) 148
92.5%
ValueCountFrequency (%)
2.5 2
1.2%
2.71 2
1.2%
2.72 2
1.2%
2.73 2
1.2%
2.77 2
1.2%
2.81 2
1.2%
ValueCountFrequency (%)
2.81 2
1.2%
2.77 2
1.2%
2.73 2
1.2%
2.72 2
1.2%
2.71 2
1.2%
2.5 2
1.2%

비고
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
111 
※통장식양도성예금증서:가입기간1년이내
20 
우대이율(KDBdreamAccount가입고객)0.10%미포함
 
6
첫거래(추천인)0.20%,온라인우대0.20%,성실재테크우대0.10%미포함
 
6
Hi(비대면)입출금통장자동이체시0.10%우대이율미포함
 
3
Other values (5)
14 

Length

Max length40
Median length4
Mean length10.325
Min length4

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> 111
69.4%
※통장식양도성예금증서:가입기간1년이내 20
 
12.5%
우대이율(KDBdreamAccount가입고객)0.10%미포함 6
 
3.8%
첫거래(추천인)0.20%,온라인우대0.20%,성실재테크우대0.10%미포함 6
 
3.8%
Hi(비대면)입출금통장자동이체시0.10%우대이율미포함 3
 
1.9%
KDBdreamAccount자동이체시0.10%우대이율미포함 3
 
1.9%
거래우대1.10%,온라인우대0.10%미포함 3
 
1.9%
우대금리최대0.20%포함 3
 
1.9%
우대금리최대0.25%포함 3
 
1.9%
우대이율(중소,중견기업0.15%)포함 2
 
1.2%

Length

2024-04-06T17:50:24.985373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:50:25.376666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 111
69.4%
※통장식양도성예금증서:가입기간1년이내 20
 
12.5%
우대이율(kdbdreamaccount가입고객)0.10%미포함 6
 
3.8%
첫거래(추천인)0.20%,온라인우대0.20%,성실재테크우대0.10%미포함 6
 
3.8%
hi(비대면)입출금통장자동이체시0.10%우대이율미포함 3
 
1.9%
kdbdreamaccount자동이체시0.10%우대이율미포함 3
 
1.9%
거래우대1.10%,온라인우대0.10%미포함 3
 
1.9%
우대금리최대0.20%포함 3
 
1.9%
우대금리최대0.25%포함 3
 
1.9%
우대이율(중소,중견기업0.15%)포함 2
 
1.2%

할인율
Text

MISSING 

Distinct10
Distinct (%)52.6%
Missing141
Missing (%)88.1%
Memory size1.4 KiB
2024-04-06T17:50:26.025532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length4.3684211
Min length1

Characters and Unicode

Total characters83
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

Unique1 ?
Unique (%)5.3%

Sample

1st row-
2nd row1.6
3rd row1.75
4th row1.849
5th row1.898
ValueCountFrequency (%)
1.6 2
10.5%
1.75 2
10.5%
1.849 2
10.5%
1.898 2
10.5%
2.045 2
10.5%
2.092 2
10.5%
2.137 2
10.5%
2.22 2
10.5%
2.252 2
10.5%
1
5.3%
2024-04-06T17:50:26.899561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 20
24.1%
. 18
21.7%
1 10
12.0%
5 6
 
7.2%
8 6
 
7.2%
9 6
 
7.2%
7 4
 
4.8%
4 4
 
4.8%
0 4
 
4.8%
6 2
 
2.4%
Other values (2) 3
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 64
77.1%
Other Punctuation 18
 
21.7%
Dash Punctuation 1
 
1.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 20
31.2%
1 10
15.6%
5 6
 
9.4%
8 6
 
9.4%
9 6
 
9.4%
7 4
 
6.2%
4 4
 
6.2%
0 4
 
6.2%
6 2
 
3.1%
3 2
 
3.1%
Other Punctuation
ValueCountFrequency (%)
. 18
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 83
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 20
24.1%
. 18
21.7%
1 10
12.0%
5 6
 
7.2%
8 6
 
7.2%
9 6
 
7.2%
7 4
 
4.8%
4 4
 
4.8%
0 4
 
4.8%
6 2
 
2.4%
Other values (2) 3
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 83
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 20
24.1%
. 18
21.7%
1 10
12.0%
5 6
 
7.2%
8 6
 
7.2%
9 6
 
7.2%
7 4
 
4.8%
4 4
 
4.8%
0 4
 
4.8%
6 2
 
2.4%
Other values (2) 3
 
3.6%

할인율(연평균수익률)
Text

MISSING 

Distinct10
Distinct (%)52.6%
Missing141
Missing (%)88.1%
Memory size1.4 KiB
2024-04-06T17:50:27.319475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length3.7368421
Min length1

Characters and Unicode

Total characters71
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

Unique1 ?
Unique (%)5.3%

Sample

1st row-
2nd row1.6
3rd row1.75
4th row1.85
5th row1.91
ValueCountFrequency (%)
1.6 2
10.5%
1.75 2
10.5%
1.85 2
10.5%
1.91 2
10.5%
2.06 2
10.5%
2.12 2
10.5%
2.18 2
10.5%
2.32 2
10.5%
2.41 2
10.5%
1
5.3%
2024-04-06T17:50:28.098720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 18
25.4%
1 16
22.5%
2 14
19.7%
6 4
 
5.6%
5 4
 
5.6%
8 4
 
5.6%
7 2
 
2.8%
9 2
 
2.8%
0 2
 
2.8%
3 2
 
2.8%
Other values (2) 3
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 52
73.2%
Other Punctuation 18
 
25.4%
Dash Punctuation 1
 
1.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 16
30.8%
2 14
26.9%
6 4
 
7.7%
5 4
 
7.7%
8 4
 
7.7%
7 2
 
3.8%
9 2
 
3.8%
0 2
 
3.8%
3 2
 
3.8%
4 2
 
3.8%
Other Punctuation
ValueCountFrequency (%)
. 18
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 71
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 18
25.4%
1 16
22.5%
2 14
19.7%
6 4
 
5.6%
5 4
 
5.6%
8 4
 
5.6%
7 2
 
2.8%
9 2
 
2.8%
0 2
 
2.8%
3 2
 
2.8%
Other values (2) 3
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 71
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 18
25.4%
1 16
22.5%
2 14
19.7%
6 4
 
5.6%
5 4
 
5.6%
8 4
 
5.6%
7 2
 
2.8%
9 2
 
2.8%
0 2
 
2.8%
3 2
 
2.8%
Other values (2) 3
 
4.2%

금액
Text

MISSING 

Distinct6
Distinct (%)100.0%
Missing154
Missing (%)96.2%
Memory size1.4 KiB
2024-04-06T17:50:28.504323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length5.1666667
Min length5

Characters and Unicode

Total characters31
Distinct characters13
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)100.0%

Sample

1st row1억원미만
2nd row1억원이상
3rd row5억원이상
4th row10억원이상
5th row3억원이하
ValueCountFrequency (%)
1억원미만 1
16.7%
1억원이상 1
16.7%
5억원이상 1
16.7%
10억원이상 1
16.7%
3억원이하 1
16.7%
3억원초과 1
16.7%
2024-04-06T17:50:29.371546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
억 6
19.4%
원 6
19.4%
이 4
12.9%
1 3
9.7%
상 3
9.7%
3 2
 
6.5%
미 1
 
3.2%
만 1
 
3.2%
5 1
 
3.2%
0 1
 
3.2%
Other values (3) 3
9.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24
77.4%
Decimal Number 7
 
22.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
억 6
25.0%
원 6
25.0%
이 4
16.7%
상 3
12.5%
미 1
 
4.2%
만 1
 
4.2%
하 1
 
4.2%
초 1
 
4.2%
과 1
 
4.2%
Decimal Number
ValueCountFrequency (%)
1 3
42.9%
3 2
28.6%
5 1
 
14.3%
0 1
 
14.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24
77.4%
Common 7
 
22.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
억 6
25.0%
원 6
25.0%
이 4
16.7%
상 3
12.5%
미 1
 
4.2%
만 1
 
4.2%
하 1
 
4.2%
초 1
 
4.2%
과 1
 
4.2%
Common
ValueCountFrequency (%)
1 3
42.9%
3 2
28.6%
5 1
 
14.3%
0 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24
77.4%
ASCII 7
 
22.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
억 6
25.0%
원 6
25.0%
이 4
16.7%
상 3
12.5%
미 1
 
4.2%
만 1
 
4.2%
하 1
 
4.2%
초 1
 
4.2%
과 1
 
4.2%
ASCII
ValueCountFrequency (%)
1 3
42.9%
3 2
28.6%
5 1
 
14.3%
0 1
 
14.3%

Interactions

2024-04-06T17:50:16.001420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:50:14.494670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:50:15.241659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:50:16.272081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:50:14.777799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:50:15.446008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:50:16.606944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:50:15.040088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:50:15.730392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-06T17:50:29.650414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
상품고객종류기간금리금리(연평균수익률)기본금리기본금리(연평균수익률)비고할인율할인율(연평균수익률)금액
상품1.0000.7680.8560.3600.956NaN0.8830.0000.998NaNNaN1.000
고객0.7681.0000.3460.1131.000NaN0.4430.0001.0000.0000.000NaN
종류0.8560.3461.0000.3931.0000.3630.647NaN1.000NaNNaNNaN
기간0.3600.1130.3931.000NaN0.0000.7491.0000.0001.0001.000NaN
금리0.9561.0001.000NaN1.000NaNNaNNaN1.000NaNNaN1.000
금리(연평균수익률)NaNNaN0.3630.000NaN1.000NaNNaN0.363NaNNaNNaN
기본금리0.8830.4430.6470.749NaNNaN1.000NaN0.888NaNNaNNaN
기본금리(연평균수익률)0.0000.000NaN1.000NaNNaNNaN1.000NaNNaNNaNNaN
비고0.9981.0001.0000.0001.0000.3630.888NaN1.000NaNNaNNaN
할인율NaN0.000NaN1.000NaNNaNNaNNaNNaN1.0001.000NaN
할인율(연평균수익률)NaN0.000NaN1.000NaNNaNNaNNaNNaN1.0001.000NaN
금액1.000NaNNaNNaN1.000NaNNaNNaNNaNNaNNaN1.000
2024-04-06T17:50:30.011124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
금리(연평균수익률)상품비고종류고객기간
금리(연평균수익률)1.0001.0000.4410.4411.0000.000
상품1.0001.0000.9220.6720.6530.112
비고0.4410.9221.0000.9310.9230.000
종류0.4410.6720.9311.0000.3550.206
고객1.0000.6530.9230.3551.0000.078
기간0.0000.1120.0000.2060.0781.000
2024-04-06T17:50:30.374133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
금리기본금리기본금리(연평균수익률)상품고객종류기간금리(연평균수익률)비고
금리1.000NaNNaN0.6750.8320.9131.0001.0000.913
기본금리NaN1.0000.6550.6390.3240.5710.4120.0000.527
기본금리(연평균수익률)NaN0.6551.0000.0000.0001.0000.9260.0000.000
상품0.6750.6390.0001.0000.6530.6720.1121.0000.922
고객0.8320.3240.0000.6531.0000.3550.0781.0000.923
종류0.9130.5711.0000.6720.3551.0000.2060.4410.931
기간1.0000.4120.9260.1120.0780.2061.0000.0000.000
금리(연평균수익률)1.0000.0000.0001.0001.0000.4410.0001.0000.441
비고0.9130.5270.0000.9220.9230.9310.0000.4411.000

Missing values

2024-04-06T17:50:17.035021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T17:50:17.507763image/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.
2024-04-06T17:50:18.004272image/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

상품고객종류기간금리금리(연평균수익률)기본금리기본금리(연평균수익률)비고할인율할인율(연평균수익률)금액
0수시입출금식상품_Hi(비대면)입출금통장개인용<NA><NA>2.3<NA><NA><NA><NA><NA><NA><NA>
1수시입출금식상품_KDBdreamAccount개인용<NA><NA>2.2<NA><NA><NA><NA><NA><NA><NA>
2거치식상품_Hi정기예금개인용<NA>1년3.3<NA><NA><NA><NA><NA><NA><NA>
3거치식상품_KDB정기예금개인용만기지급식1개월<NA><NA>3.1<NA><NA><NA><NA><NA>
4거치식상품_KDB정기예금개인용만기지급식3개월<NA><NA>3.2<NA><NA><NA><NA><NA>
5거치식상품_KDB정기예금개인용만기지급식6개월<NA><NA>3.5<NA><NA><NA><NA><NA>
6거치식상품_KDB정기예금개인용만기지급식1년<NA><NA>3.7<NA><NA><NA><NA><NA>
7거치식상품_KDB정기예금개인용만기지급식2년<NA><NA>3.4<NA><NA><NA><NA><NA>
8거치식상품_KDB정기예금개인용만기지급식3년<NA><NA>3.4<NA><NA><NA><NA><NA>
9거치식상품_KDB정기예금개인용월이자지급식1개월<NA><NA>3.1<NA><NA><NA><NA><NA>
상품고객종류기간금리금리(연평균수익률)기본금리기본금리(연평균수익률)비고할인율할인율(연평균수익률)금액
150외화정기예금법인용<NA>9개월<NA><NA>5.53<NA><NA><NA><NA><NA>
151외화정기예금법인용<NA>12개월<NA><NA>5.6<NA><NA><NA><NA><NA>
152하이플러스외화정기예금법인용<NA>1개월<NA><NA>5.16<NA><NA><NA><NA><NA>
153하이플러스외화정기예금법인용<NA>2개월<NA><NA>5.24<NA><NA><NA><NA><NA>
154하이플러스외화정기예금법인용<NA>3개월<NA><NA>5.32<NA><NA><NA><NA><NA>
155하이플러스외화정기예금법인용<NA>4개월<NA><NA>5.36<NA><NA><NA><NA><NA>
156하이플러스외화정기예금법인용<NA>5개월<NA><NA>5.41<NA><NA><NA><NA><NA>
157하이플러스외화정기예금법인용<NA>6개월<NA><NA>5.46<NA><NA><NA><NA><NA>
158하이플러스외화정기예금법인용<NA>9개월<NA><NA>5.53<NA><NA><NA><NA><NA>
159하이플러스외화정기예금법인용<NA>12개월<NA><NA>5.6<NA><NA><NA><NA><NA>