Overview

Dataset statistics

Number of variables17
Number of observations38
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.4 KiB
Average record size in memory144.5 B

Variable types

Categorical13
Text3
Numeric1

Dataset

Description예금은행 대출금리(신규취급액 기준)를 계정항목별(기업대출, 가계대출 등), 월별로 나타낸 데이터
Author충청남도
URLhttps://alldam.chungnam.go.kr/bigdata/collect/view.chungnam?menuCd=DOM_000000201001001000&apiIdx=3108

Alerts

통계표ID has constant value ""Constant
기관코드 has constant value ""Constant
항목영문명 has constant value ""Constant
수록주기 has constant value ""Constant
항목명 has constant value ""Constant
항목 ID has constant value ""Constant
단위영문명 has constant value ""Constant
분류 영문명1 has constant value ""Constant
통계표명 has constant value ""Constant
분류명1 has constant value ""Constant
수록시점 is highly overall correlated with 수집날짜High correlation
수집날짜 is highly overall correlated with 수록시점High correlation
단위명 is highly imbalanced (70.3%)Imbalance

Reproduction

Analysis started2024-01-09 21:38:03.145965
Analysis finished2024-01-09 21:38:03.870035
Duration0.72 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

통계표ID
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size436.0 B
DT_121Y006
38 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowDT_121Y006
2nd rowDT_121Y006
3rd rowDT_121Y006
4th rowDT_121Y006
5th rowDT_121Y006

Common Values

ValueCountFrequency (%)
DT_121Y006 38
100.0%

Length

2024-01-10T06:38:03.933922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:38:04.029242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
dt_121y006 38
100.0%

기관코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size436.0 B
301
38 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row301
2nd row301
3rd row301
4th row301
5th row301

Common Values

ValueCountFrequency (%)
301 38
100.0%

Length

2024-01-10T06:38:04.126000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:38:04.225609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
301 38
100.0%

항목영문명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size436.0 B
Based on Newly Extended
38 

Length

Max length23
Median length23
Mean length23
Min length23

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowBased on Newly Extended
2nd rowBased on Newly Extended
3rd rowBased on Newly Extended
4th rowBased on Newly Extended
5th rowBased on Newly Extended

Common Values

ValueCountFrequency (%)
Based on Newly Extended 38
100.0%

Length

2024-01-10T06:38:04.534250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:38:04.607416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
based 38
25.0%
on 38
25.0%
newly 38
25.0%
extended 38
25.0%

수록주기
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size436.0 B
M
38 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
M 38
100.0%

Length

2024-01-10T06:38:04.683742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:38:04.759606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
m 38
100.0%

항목명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size436.0 B
예금은행 대출금리(신규취급액 기준)
38 

Length

Max length19
Median length19
Mean length19
Min length19

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row예금은행 대출금리(신규취급액 기준)
2nd row예금은행 대출금리(신규취급액 기준)
3rd row예금은행 대출금리(신규취급액 기준)
4th row예금은행 대출금리(신규취급액 기준)
5th row예금은행 대출금리(신규취급액 기준)

Common Values

ValueCountFrequency (%)
예금은행 대출금리(신규취급액 기준) 38
100.0%

Length

2024-01-10T06:38:04.870750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:38:04.971652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
예금은행 38
33.3%
대출금리(신규취급액 38
33.3%
기준 38
33.3%

항목 ID
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size436.0 B
13103134553999
38 

Length

Max length14
Median length14
Mean length14
Min length14

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row13103134553999
2nd row13103134553999
3rd row13103134553999
4th row13103134553999
5th row13103134553999

Common Values

ValueCountFrequency (%)
13103134553999 38
100.0%

Length

2024-01-10T06:38:05.081704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:38:05.176942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13103134553999 38
100.0%

단위명
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size436.0 B
연리%
36 
연%
 
2

Length

Max length3
Median length3
Mean length2.9473684
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row연%
2nd row연리%
3rd row연리%
4th row연리%
5th row연리%

Common Values

ValueCountFrequency (%)
연리% 36
94.7%
연% 2
 
5.3%

Length

2024-01-10T06:38:05.277761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:38:05.380669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
연리 36
94.7%
연 2
 
5.3%

분류값 ID1
Text

Distinct19
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-01-10T06:38:05.551090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length31
Mean length29.736842
Min length28

Characters and Unicode

Total characters1130
Distinct characters17
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

Unique0 ?
Unique (%)0.0%

Sample

1st row13102134553ACC_ITEM.BECBLA01
2nd row13102134553ACC_ITEM.BECBLA02
3rd row13102134553ACC_ITEM.BECBLA0201
4th row13102134553ACC_ITEM.BECBLA0202
5th row13102134553ACC_ITEM.BECBLA0203
ValueCountFrequency (%)
13102134553acc_item.becbla01 2
 
5.3%
13102134553acc_item.becbla030202 2
 
5.3%
13102134553acc_item.becbla05 2
 
5.3%
13102134553acc_item.becbla04 2
 
5.3%
13102134553acc_item.becbla03052 2
 
5.3%
13102134553acc_item.becbla03051 2
 
5.3%
13102134553acc_item.becbla03041 2
 
5.3%
13102134553acc_item.becbla0304 2
 
5.3%
13102134553acc_item.becbla0303 2
 
5.3%
13102134553acc_item.becbla030201 2
 
5.3%
Other values (9) 18
47.4%
2024-01-10T06:38:05.853924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 138
12.2%
1 126
11.2%
C 114
10.1%
0 106
9.4%
5 82
 
7.3%
A 76
 
6.7%
B 76
 
6.7%
E 76
 
6.7%
2 60
 
5.3%
4 46
 
4.1%
Other values (7) 230
20.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 560
49.6%
Uppercase Letter 494
43.7%
Other Punctuation 38
 
3.4%
Connector Punctuation 38
 
3.4%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
C 114
23.1%
A 76
15.4%
B 76
15.4%
E 76
15.4%
L 38
 
7.7%
M 38
 
7.7%
T 38
 
7.7%
I 38
 
7.7%
Decimal Number
ValueCountFrequency (%)
3 138
24.6%
1 126
22.5%
0 106
18.9%
5 82
14.6%
2 60
10.7%
4 46
 
8.2%
7 2
 
0.4%
Other Punctuation
ValueCountFrequency (%)
. 38
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 38
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 636
56.3%
Latin 494
43.7%

Most frequent character per script

Common
ValueCountFrequency (%)
3 138
21.7%
1 126
19.8%
0 106
16.7%
5 82
12.9%
2 60
9.4%
4 46
 
7.2%
. 38
 
6.0%
_ 38
 
6.0%
7 2
 
0.3%
Latin
ValueCountFrequency (%)
C 114
23.1%
A 76
15.4%
B 76
15.4%
E 76
15.4%
L 38
 
7.7%
M 38
 
7.7%
T 38
 
7.7%
I 38
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1130
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 138
12.2%
1 126
11.2%
C 114
10.1%
0 106
9.4%
5 82
 
7.3%
A 76
 
6.7%
B 76
 
6.7%
E 76
 
6.7%
2 60
 
5.3%
4 46
 
4.1%
Other values (7) 230
20.4%

단위영문명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size436.0 B
Percent Per Annum
38 

Length

Max length17
Median length17
Mean length17
Min length17

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowPercent Per Annum
2nd rowPercent Per Annum
3rd rowPercent Per Annum
4th rowPercent Per Annum
5th rowPercent Per Annum

Common Values

ValueCountFrequency (%)
Percent Per Annum 38
100.0%

Length

2024-01-10T06:38:05.967652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:38:06.041344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
percent 38
33.3%
per 38
33.3%
annum 38
33.3%

수치값
Real number (ℝ)

Distinct36
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.2242105
Minimum4.18
Maximum7.73
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2024-01-10T06:38:06.117096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.18
5-th percentile4.277
Q14.685
median5.165
Q35.3375
95-th percentile6.8595
Maximum7.73
Range3.55
Interquartile range (IQR)0.6525

Descriptive statistics

Standard deviation0.80047834
Coefficient of variation (CV)0.15322475
Kurtosis2.1431791
Mean5.2242105
Median Absolute Deviation (MAD)0.215
Skewness1.3719344
Sum198.52
Variance0.64076558
MonotonicityNot monotonic
2024-01-10T06:38:06.212671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
5.33 2
 
5.3%
5.04 2
 
5.3%
5.17 1
 
2.6%
4.53 1
 
2.6%
5.35 1
 
2.6%
5.4 1
 
2.6%
5.05 1
 
2.6%
7.73 1
 
2.6%
4.56 1
 
2.6%
4.64 1
 
2.6%
Other values (26) 26
68.4%
ValueCountFrequency (%)
4.18 1
2.6%
4.26 1
2.6%
4.28 1
2.6%
4.3 1
2.6%
4.35 1
2.6%
4.37 1
2.6%
4.51 1
2.6%
4.53 1
2.6%
4.56 1
2.6%
4.64 1
2.6%
ValueCountFrequency (%)
7.73 1
2.6%
7.14 1
2.6%
6.81 1
2.6%
6.59 1
2.6%
6.17 1
2.6%
6.15 1
2.6%
5.4 1
2.6%
5.36 1
2.6%
5.35 1
2.6%
5.34 1
2.6%

분류 영문명1
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size436.0 B
ACCOUNT
38 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
ACCOUNT 38
100.0%

Length

2024-01-10T06:38:06.314517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:38:06.386721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
account 38
100.0%

분류값 명1
Text

Distinct19
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-01-10T06:38:06.508308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length9
Mean length7.1052632
Min length4

Characters and Unicode

Total characters270
Distinct characters57
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row대출평균 1)
2nd row기업대출
3rd row대기업대출
4th row중소기업대출
5th row운전자금대출
ValueCountFrequency (%)
주택담보대출 6
 
11.5%
2 4
 
7.7%
고정형 2
 
3.8%
상업어음할인 2
 
3.8%
공공및기타부문대출 2
 
3.8%
집단대출 2
 
3.8%
일반신용대출 2
 
3.8%
전세자금대출 2
 
3.8%
보증대출 2
 
3.8%
예적금담보대출 2
 
3.8%
Other values (13) 26
50.0%
2024-01-10T06:38:06.776902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
대 38
 
14.1%
출 36
 
13.3%
14
 
5.2%
보 10
 
3.7%
기 10
 
3.7%
업 10
 
3.7%
금 10
 
3.7%
자 8
 
3.0%
담 8
 
3.0%
) 8
 
3.0%
Other values (47) 118
43.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 234
86.7%
Space Separator 14
 
5.2%
Decimal Number 12
 
4.4%
Close Punctuation 8
 
3.0%
Open Punctuation 2
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 38
16.2%
출 36
 
15.4%
보 10
 
4.3%
기 10
 
4.3%
업 10
 
4.3%
금 10
 
4.3%
자 8
 
3.4%
담 8
 
3.4%
주 6
 
2.6%
택 6
 
2.6%
Other values (40) 92
39.3%
Decimal Number
ValueCountFrequency (%)
0 4
33.3%
2 4
33.3%
5 2
16.7%
1 2
16.7%
Space Separator
ValueCountFrequency (%)
14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 234
86.7%
Common 36
 
13.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 38
16.2%
출 36
 
15.4%
보 10
 
4.3%
기 10
 
4.3%
업 10
 
4.3%
금 10
 
4.3%
자 8
 
3.4%
담 8
 
3.4%
주 6
 
2.6%
택 6
 
2.6%
Other values (40) 92
39.3%
Common
ValueCountFrequency (%)
14
38.9%
) 8
22.2%
0 4
 
11.1%
2 4
 
11.1%
( 2
 
5.6%
5 2
 
5.6%
1 2
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 234
86.7%
ASCII 36
 
13.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
대 38
16.2%
출 36
 
15.4%
보 10
 
4.3%
기 10
 
4.3%
업 10
 
4.3%
금 10
 
4.3%
자 8
 
3.4%
담 8
 
3.4%
주 6
 
2.6%
택 6
 
2.6%
Other values (40) 92
39.3%
ASCII
ValueCountFrequency (%)
14
38.9%
) 8
22.2%
0 4
 
11.1%
2 4
 
11.1%
( 2
 
5.6%
5 2
 
5.6%
1 2
 
5.6%

수록시점
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size436.0 B
202309
19 
202310
19 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row202309
2nd row202309
3rd row202309
4th row202309
5th row202309

Common Values

ValueCountFrequency (%)
202309 19
50.0%
202310 19
50.0%

Length

2024-01-10T06:38:06.879734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:38:06.955934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
202309 19
50.0%
202310 19
50.0%

분류값 영문명1
Text

Distinct19
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-01-10T06:38:07.081103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length32
Mean length27.789474
Min length16

Characters and Unicode

Total characters1056
Distinct characters44
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

Unique0 ?
Unique (%)0.0%

Sample

1st rowLoans ＆ Discounts 1)
2nd rowLoans To Corporations
3rd rowLoans To Large Corporations
4th rowLoans To Small ＆ Medium Corporations
5th rowLoans For Operations
ValueCountFrequency (%)
loans 36
24.3%
to 26
17.6%
corporations 8
 
5.4%
＆ 6
 
4.1%
households(houses 6
 
4.1%
for 4
 
2.7%
2 4
 
2.7%
1 2
 
1.4%
households(deposits 2
 
1.4%
general 2
 
1.4%
Other values (26) 52
35.1%
2024-01-10T06:38:07.320406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 154
14.6%
s 122
 
11.6%
110
 
10.4%
e 68
 
6.4%
a 66
 
6.2%
n 64
 
6.1%
L 42
 
4.0%
u 38
 
3.6%
r 38
 
3.6%
l 38
 
3.6%
Other values (34) 316
29.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 740
70.1%
Uppercase Letter 148
 
14.0%
Space Separator 110
 
10.4%
Close Punctuation 24
 
2.3%
Open Punctuation 18
 
1.7%
Other Punctuation 8
 
0.8%
Decimal Number 8
 
0.8%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 154
20.8%
s 122
16.5%
e 68
9.2%
a 66
8.9%
n 64
8.6%
u 38
 
5.1%
r 38
 
5.1%
l 38
 
5.1%
i 32
 
4.3%
d 26
 
3.5%
Other values (10) 94
12.7%
Uppercase Letter
ValueCountFrequency (%)
L 42
28.4%
T 28
18.9%
H 24
16.2%
G 8
 
5.4%
C 8
 
5.4%
D 8
 
5.4%
F 6
 
4.1%
M 4
 
2.7%
O 4
 
2.7%
S 4
 
2.7%
Other values (6) 12
 
8.1%
Decimal Number
ValueCountFrequency (%)
2 4
50.0%
5 2
25.0%
1 2
25.0%
Other Punctuation
ValueCountFrequency (%)
＆ 6
75.0%
. 2
 
25.0%
Space Separator
ValueCountFrequency (%)
110
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 888
84.1%
Common 168
 
15.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 154
17.3%
s 122
13.7%
e 68
 
7.7%
a 66
 
7.4%
n 64
 
7.2%
L 42
 
4.7%
u 38
 
4.3%
r 38
 
4.3%
l 38
 
4.3%
i 32
 
3.6%
Other values (26) 226
25.5%
Common
ValueCountFrequency (%)
110
65.5%
) 24
 
14.3%
( 18
 
10.7%
＆ 6
 
3.6%
2 4
 
2.4%
. 2
 
1.2%
5 2
 
1.2%
1 2
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1050
99.4%
None 6
 
0.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 154
14.7%
s 122
 
11.6%
110
 
10.5%
e 68
 
6.5%
a 66
 
6.3%
n 64
 
6.1%
L 42
 
4.0%
u 38
 
3.6%
r 38
 
3.6%
l 38
 
3.6%
Other values (33) 310
29.5%
None
ValueCountFrequency (%)
＆ 6
100.0%

통계표명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size436.0 B
예금은행 대출금리(신규취급액 기준)
38 

Length

Max length19
Median length19
Mean length19
Min length19

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row예금은행 대출금리(신규취급액 기준)
2nd row예금은행 대출금리(신규취급액 기준)
3rd row예금은행 대출금리(신규취급액 기준)
4th row예금은행 대출금리(신규취급액 기준)
5th row예금은행 대출금리(신규취급액 기준)

Common Values

ValueCountFrequency (%)
예금은행 대출금리(신규취급액 기준) 38
100.0%

Length

2024-01-10T06:38:07.425448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:38:07.499263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
예금은행 38
33.3%
대출금리(신규취급액 38
33.3%
기준 38
33.3%

분류명1
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size436.0 B
계정항목별
38 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
계정항목별 38
100.0%

Length

2024-01-10T06:38:07.574474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:38:07.647915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
계정항목별 38
100.0%

수집날짜
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size436.0 B
20231109
19 
20231209
19 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row20231109
2nd row20231109
3rd row20231109
4th row20231109
5th row20231109

Common Values

ValueCountFrequency (%)
20231109 19
50.0%
20231209 19
50.0%

Length

2024-01-10T06:38:07.724579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:38:07.806273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20231109 19
50.0%
20231209 19
50.0%

Interactions

2024-01-10T06:38:03.471662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T06:38:07.859586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
단위명분류값 ID1수치값분류값 명1수록시점분류값 영문명1수집날짜
단위명1.0001.0000.0001.0000.0001.0000.000
분류값 ID11.0001.0000.8601.0000.0001.0000.000
수치값0.0000.8601.0000.8600.0000.8600.000
분류값 명11.0001.0000.8601.0000.0001.0000.000
수록시점0.0000.0000.0000.0001.0000.0000.996
분류값 영문명11.0001.0000.8601.0000.0001.0000.000
수집날짜0.0000.0000.0000.0000.9960.0001.000
2024-01-10T06:38:07.942725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
수록시점수집날짜단위명
수록시점1.0000.9460.000
수집날짜0.9461.0000.000
단위명0.0000.0001.000
2024-01-10T06:38:08.008329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
수치값단위명수록시점수집날짜
수치값1.0000.0000.0000.000
단위명0.0001.0000.0000.000
수록시점0.0000.0001.0000.946
수집날짜0.0000.0000.9461.000

Missing values

2024-01-10T06:38:03.572202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T06:38:03.789219image/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

통계표ID기관코드항목영문명수록주기항목명항목 ID단위명분류값 ID1단위영문명수치값분류 영문명1분류값 명1수록시점분류값 영문명1통계표명분류명1수집날짜
0DT_121Y006301Based on Newly ExtendedM예금은행 대출금리(신규취급액 기준)13103134553999연%13102134553ACC_ITEM.BECBLA01Percent Per Annum5.17ACCOUNT대출평균 1)202309Loans ＆ Discounts 1)예금은행 대출금리(신규취급액 기준)계정항목별20231109
1DT_121Y006301Based on Newly ExtendedM예금은행 대출금리(신규취급액 기준)13103134553999연리%13102134553ACC_ITEM.BECBLA02Percent Per Annum5.27ACCOUNT기업대출202309Loans To Corporations예금은행 대출금리(신규취급액 기준)계정항목별20231109
2DT_121Y006301Based on Newly ExtendedM예금은행 대출금리(신규취급액 기준)13103134553999연리%13102134553ACC_ITEM.BECBLA0201Percent Per Annum5.18ACCOUNT대기업대출202309Loans To Large Corporations예금은행 대출금리(신규취급액 기준)계정항목별20231109
3DT_121Y006301Based on Newly ExtendedM예금은행 대출금리(신규취급액 기준)13103134553999연리%13102134553ACC_ITEM.BECBLA0202Percent Per Annum5.34ACCOUNT중소기업대출202309Loans To Small ＆ Medium Corporations예금은행 대출금리(신규취급액 기준)계정항목별20231109
4DT_121Y006301Based on Newly ExtendedM예금은행 대출금리(신규취급액 기준)13103134553999연리%13102134553ACC_ITEM.BECBLA0203Percent Per Annum5.36ACCOUNT운전자금대출202309Loans For Operations예금은행 대출금리(신규취급액 기준)계정항목별20231109
5DT_121Y006301Based on Newly ExtendedM예금은행 대출금리(신규취급액 기준)13103134553999연리%13102134553ACC_ITEM.BECBLA0204Percent Per Annum4.97ACCOUNT시설자금대출202309Loans For Equipments예금은행 대출금리(신규취급액 기준)계정항목별20231109
6DT_121Y006301Based on Newly ExtendedM예금은행 대출금리(신규취급액 기준)13103134553999연리%13102134553ACC_ITEM.BECBLA03Percent Per Annum4.9ACCOUNT가계대출202309Loans To Households예금은행 대출금리(신규취급액 기준)계정항목별20231109
7DT_121Y006301Based on Newly ExtendedM예금은행 대출금리(신규취급액 기준)13103134553999연리%13102134553ACC_ITEM.BECBLA0301Percent Per Annum7.14ACCOUNT소액대출 (500만원 이하)202309Loans To Households(Less Than 5 Mil. Won)예금은행 대출금리(신규취급액 기준)계정항목별20231109
8DT_121Y006301Based on Newly ExtendedM예금은행 대출금리(신규취급액 기준)13103134553999연리%13102134553ACC_ITEM.BECBLA0302Percent Per Annum4.35ACCOUNT주택담보대출202309Loans To Households(Houses)예금은행 대출금리(신규취급액 기준)계정항목별20231109
9DT_121Y006301Based on Newly ExtendedM예금은행 대출금리(신규취급액 기준)13103134553999연리%13102134553ACC_ITEM.BECBLA030201Percent Per Annum4.3ACCOUNT고정형 주택담보대출202309Fixed Loans To Households(Houses)예금은행 대출금리(신규취급액 기준)계정항목별20231109
통계표ID기관코드항목영문명수록주기항목명항목 ID단위명분류값 ID1단위영문명수치값분류 영문명1분류값 명1수록시점분류값 영문명1통계표명분류명1수집날짜
28DT_121Y006301Based on Newly ExtendedM예금은행 대출금리(신규취급액 기준)13103134553999연리%13102134553ACC_ITEM.BECBLA030201Percent Per Annum4.53ACCOUNT고정형 주택담보대출202310Fixed Loans To Households(Houses)예금은행 대출금리(신규취급액 기준)계정항목별20231209
29DT_121Y006301Based on Newly ExtendedM예금은행 대출금리(신규취급액 기준)13103134553999연리%13102134553ACC_ITEM.BECBLA030202Percent Per Annum4.64ACCOUNT변동형 주택담보대출202310Variable Loans To Households(Houses)예금은행 대출금리(신규취급액 기준)계정항목별20231209
30DT_121Y006301Based on Newly ExtendedM예금은행 대출금리(신규취급액 기준)13103134553999연리%13102134553ACC_ITEM.BECBLA0303Percent Per Annum5.16ACCOUNT예적금담보대출202310Loans To Households(Deposits)예금은행 대출금리(신규취급액 기준)계정항목별20231209
31DT_121Y006301Based on Newly ExtendedM예금은행 대출금리(신규취급액 기준)13103134553999연리%13102134553ACC_ITEM.BECBLA0304Percent Per Annum5.04ACCOUNT보증대출202310Loans To Households(Guarantees)예금은행 대출금리(신규취급액 기준)계정항목별20231209
32DT_121Y006301Based on Newly ExtendedM예금은행 대출금리(신규취급액 기준)13103134553999연리%13102134553ACC_ITEM.BECBLA03041Percent Per Annum4.28ACCOUNT전세자금대출202310Leasehold Deposit Loans (Jeonse)예금은행 대출금리(신규취급액 기준)계정항목별20231209
33DT_121Y006301Based on Newly ExtendedM예금은행 대출금리(신규취급액 기준)13103134553999연리%13102134553ACC_ITEM.BECBLA03051Percent Per Annum6.81ACCOUNT일반신용대출 2)202310Loans To Households(General) 2)예금은행 대출금리(신규취급액 기준)계정항목별20231209
34DT_121Y006301Based on Newly ExtendedM예금은행 대출금리(신규취급액 기준)13103134553999연리%13102134553ACC_ITEM.BECBLA03052Percent Per Annum4.37ACCOUNT집단대출 2)202310Loans To Households(Group) 2)예금은행 대출금리(신규취급액 기준)계정항목별20231209
35DT_121Y006301Based on Newly ExtendedM예금은행 대출금리(신규취급액 기준)13103134553999연리%13102134553ACC_ITEM.BECBLA04Percent Per Annum4.82ACCOUNT공공및기타부문대출202310Loans To Public ＆ Other Sectors예금은행 대출금리(신규취급액 기준)계정항목별20231209
36DT_121Y006301Based on Newly ExtendedM예금은행 대출금리(신규취급액 기준)13103134553999연리%13102134553ACC_ITEM.BECBLA05Percent Per Annum6.17ACCOUNT상업어음할인202310Bills Discounted예금은행 대출금리(신규취급액 기준)계정항목별20231209
37DT_121Y006301Based on Newly ExtendedM예금은행 대출금리(신규취급액 기준)13103134553999연리%13102134553ACC_ITEM.BECBLA07Percent Per Annum5.31ACCOUNT기업일반자금대출202310General Loans of Corporations예금은행 대출금리(신규취급액 기준)계정항목별20231209