Overview

Dataset statistics

Number of variables34
Number of observations235
Missing cells6816
Missing cells (%)85.3%
Duplicate rows1
Duplicate rows (%)0.4%
Total size in memory69.4 KiB
Average record size in memory302.6 B

Variable types

Numeric2
Text4
Unsupported28

Dataset

Description한국주택금융공사에서 발행한 보금자리론 판매실적 현황에 대한 데이터 입니다. 공공데이터 개방정책에 따라 등록되었습니다.
Author한국주택금융공사
URLhttps://www.data.go.kr/data/15073672/fileData.do

Alerts

Dataset has 1 (0.4%) duplicate rowsDuplicates
연월말 has 39 (16.6%) missing valuesMissing
월 has 39 (16.6%) missing valuesMissing
판매금액1) has 39 (16.6%) missing valuesMissing
잔액2) has 39 (16.6%) missing valuesMissing
적용금리3) has 39 (16.6%) missing valuesMissing
금리적용기준일 has 41 (17.4%) missing valuesMissing
Unnamed: 6 has 235 (100.0%) missing valuesMissing
Unnamed: 7 has 235 (100.0%) missing valuesMissing
Unnamed: 8 has 235 (100.0%) missing valuesMissing
Unnamed: 9 has 235 (100.0%) missing valuesMissing
Unnamed: 10 has 235 (100.0%) missing valuesMissing
Unnamed: 11 has 235 (100.0%) missing valuesMissing
Unnamed: 12 has 235 (100.0%) missing valuesMissing
Unnamed: 13 has 235 (100.0%) missing valuesMissing
Unnamed: 14 has 235 (100.0%) missing valuesMissing
Unnamed: 15 has 235 (100.0%) missing valuesMissing
Unnamed: 16 has 235 (100.0%) missing valuesMissing
Unnamed: 17 has 235 (100.0%) missing valuesMissing
Unnamed: 18 has 235 (100.0%) missing valuesMissing
Unnamed: 19 has 235 (100.0%) missing valuesMissing
Unnamed: 20 has 235 (100.0%) missing valuesMissing
Unnamed: 21 has 235 (100.0%) missing valuesMissing
Unnamed: 22 has 235 (100.0%) missing valuesMissing
Unnamed: 23 has 235 (100.0%) missing valuesMissing
Unnamed: 24 has 235 (100.0%) missing valuesMissing
Unnamed: 25 has 235 (100.0%) missing valuesMissing
Unnamed: 26 has 235 (100.0%) missing valuesMissing
Unnamed: 27 has 235 (100.0%) missing valuesMissing
Unnamed: 28 has 235 (100.0%) missing valuesMissing
Unnamed: 29 has 235 (100.0%) missing valuesMissing
Unnamed: 30 has 235 (100.0%) missing valuesMissing
Unnamed: 31 has 235 (100.0%) missing valuesMissing
Unnamed: 32 has 235 (100.0%) missing valuesMissing
Unnamed: 33 has 235 (100.0%) missing valuesMissing
Unnamed: 6 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 7 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 8 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 9 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 10 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 11 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 12 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 13 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 14 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 15 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 16 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 17 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 18 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 19 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 20 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 21 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 22 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 23 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 24 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 25 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 26 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 27 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 28 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 29 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 30 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 31 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 32 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 33 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-12 10:18:53.998555
Analysis finished2023-12-12 10:18:54.248354
Duration0.25 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연월말
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)8.7%
Missing39
Missing (%)16.6%
Infinite0
Infinite (%)0.0%
Mean2011.8367
Minimum2004
Maximum2020
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2023-12-12T19:18:54.302549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2004
5-th percentile2004.75
Q12008
median2012
Q32016
95-th percentile2019
Maximum2020
Range16
Interquartile range (IQR)8

Descriptive statistics

Standard deviation4.738698
Coefficient of variation (CV)0.0023554088
Kurtosis-1.1890442
Mean2011.8367
Median Absolute Deviation (MAD)4
Skewness0.004750196
Sum394320
Variance22.455259
MonotonicityIncreasing
2023-12-12T19:18:54.442157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
2005 12
 
5.1%
2019 12
 
5.1%
2018 12
 
5.1%
2017 12
 
5.1%
2016 12
 
5.1%
2015 12
 
5.1%
2014 12
 
5.1%
2013 12
 
5.1%
2012 12
 
5.1%
2011 12
 
5.1%
Other values (7) 76
32.3%
(Missing) 39
16.6%
ValueCountFrequency (%)
2004 10
4.3%
2005 12
5.1%
2006 12
5.1%
2007 12
5.1%
2008 12
5.1%
2009 12
5.1%
2010 12
5.1%
2011 12
5.1%
2012 12
5.1%
2013 12
5.1%
ValueCountFrequency (%)
2020 6
2.6%
2019 12
5.1%
2018 12
5.1%
2017 12
5.1%
2016 12
5.1%
2015 12
5.1%
2014 12
5.1%
2013 12
5.1%
2012 12
5.1%
2011 12
5.1%

월
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)6.1%
Missing39
Missing (%)16.6%
Infinite0
Infinite (%)0.0%
Mean6.4591837
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2023-12-12T19:18:54.583925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13.75
median6
Q39
95-th percentile12
Maximum12
Range11
Interquartile range (IQR)5.25

Descriptive statistics

Standard deviation3.4408358
Coefficient of variation (CV)0.53270444
Kurtosis-1.204521
Mean6.4591837
Median Absolute Deviation (MAD)3
Skewness0.028070234
Sum1266
Variance11.839351
MonotonicityNot monotonic
2023-12-12T19:18:54.721979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
3 17
7.2%
4 17
7.2%
5 17
7.2%
6 17
7.2%
7 16
6.8%
8 16
6.8%
9 16
6.8%
10 16
6.8%
11 16
6.8%
12 16
6.8%
Other values (2) 32
13.6%
(Missing) 39
16.6%
ValueCountFrequency (%)
1 16
6.8%
2 16
6.8%
3 17
7.2%
4 17
7.2%
5 17
7.2%
6 17
7.2%
7 16
6.8%
8 16
6.8%
9 16
6.8%
10 16
6.8%
ValueCountFrequency (%)
12 16
6.8%
11 16
6.8%
10 16
6.8%
9 16
6.8%
8 16
6.8%
7 16
6.8%
6 17
7.2%
5 17
7.2%
4 17
7.2%
3 17
7.2%

판매금액1)
Text

MISSING 

Distinct195
Distinct (%)99.5%
Missing39
Missing (%)16.6%
Memory size2.0 KiB
2023-12-12T19:18:55.161181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0765306
Min length4

Characters and Unicode

Total characters1191
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

Unique194 ?
Unique (%)99.0%

Sample

1st row351
2nd row3,634
3rd row4,564
4th row3,938
5th row3,358
ValueCountFrequency (%)
4,564 2
 
1.0%
14,062 1
 
0.5%
16,284 1
 
0.5%
8,917 1
 
0.5%
1,814 1
 
0.5%
2,297 1
 
0.5%
4,510 1
 
0.5%
5,904 1
 
0.5%
4,816 1
 
0.5%
8,502 1
 
0.5%
Other values (185) 185
94.4%
2023-12-12T19:18:55.915241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
196
16.5%
, 186
15.6%
1 102
8.6%
6 89
7.5%
2 86
7.2%
4 84
7.1%
3 84
7.1%
5 77
 
6.5%
7 76
 
6.4%
9 76
 
6.4%
Other values (2) 135
11.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 809
67.9%
Space Separator 196
 
16.5%
Other Punctuation 186
 
15.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 102
12.6%
6 89
11.0%
2 86
10.6%
4 84
10.4%
3 84
10.4%
5 77
9.5%
7 76
9.4%
9 76
9.4%
8 74
9.1%
0 61
7.5%
Space Separator
ValueCountFrequency (%)
196
100.0%
Other Punctuation
ValueCountFrequency (%)
, 186
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1191
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
196
16.5%
, 186
15.6%
1 102
8.6%
6 89
7.5%
2 86
7.2%
4 84
7.1%
3 84
7.1%
5 77
 
6.5%
7 76
 
6.4%
9 76
 
6.4%
Other values (2) 135
11.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1191
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
196
16.5%
, 186
15.6%
1 102
8.6%
6 89
7.5%
2 86
7.2%
4 84
7.1%
3 84
7.1%
5 77
 
6.5%
7 76
 
6.4%
9 76
 
6.4%
Other values (2) 135
11.3%

잔액2)
Text

MISSING 

Distinct194
Distinct (%)99.0%
Missing39
Missing (%)16.6%
Memory size2.0 KiB
2023-12-12T19:18:56.702711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length7.627551
Min length2

Characters and Unicode

Total characters1495
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

Unique193 ?
Unique (%)98.5%

Sample

1st row0
2nd row0
3rd row0
4th row5,420
5th row9,400
ValueCountFrequency (%)
0 3
 
1.5%
268,983 1
 
0.5%
209,301 1
 
0.5%
184,387 1
 
0.5%
9,400 1
 
0.5%
221,931 1
 
0.5%
240,029 1
 
0.5%
231,356 1
 
0.5%
225,486 1
 
0.5%
220,433 1
 
0.5%
Other values (184) 184
93.9%
2023-12-12T19:18:57.294101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
196
13.1%
, 193
12.9%
1 134
9.0%
2 132
8.8%
3 126
8.4%
0 112
7.5%
7 109
7.3%
4 109
7.3%
6 105
7.0%
5 104
7.0%
Other values (2) 175
11.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1106
74.0%
Space Separator 196
 
13.1%
Other Punctuation 193
 
12.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 134
12.1%
2 132
11.9%
3 126
11.4%
0 112
10.1%
7 109
9.9%
4 109
9.9%
6 105
9.5%
5 104
9.4%
9 96
8.7%
8 79
7.1%
Space Separator
ValueCountFrequency (%)
196
100.0%
Other Punctuation
ValueCountFrequency (%)
, 193
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1495
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
196
13.1%
, 193
12.9%
1 134
9.0%
2 132
8.8%
3 126
8.4%
0 112
7.5%
7 109
7.3%
4 109
7.3%
6 105
7.0%
5 104
7.0%
Other values (2) 175
11.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1495
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
196
13.1%
, 193
12.9%
1 134
9.0%
2 132
8.8%
3 126
8.4%
0 112
7.5%
7 109
7.3%
4 109
7.3%
6 105
7.0%
5 104
7.0%
Other values (2) 175
11.7%

적용금리3)
Text

MISSING 

Distinct63
Distinct (%)32.1%
Missing39
Missing (%)16.6%
Memory size2.0 KiB
2023-12-12T19:18:57.642338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length13
Mean length17.096939
Min length12

Characters and Unicode

Total characters3351
Distinct characters16
Distinct categories6 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)9.7%

Sample

1st row6.50% ~ 6.70%
2nd row6.50% ~ 6.70%
3rd row6.50% ~ 6.70%
4th row6.50% ~ 6.70%
5th row6.50% ~ 6.70%
ValueCountFrequency (%)
255
36.1%
6.15 21
 
3.0%
6.10 16
 
2.3%
6.50 14
 
2.0%
3.15 14
 
2.0%
6.35%(5.90 13
 
1.8%
6.25 11
 
1.6%
4.30 9
 
1.3%
6.60 9
 
1.3%
6.80 9
 
1.3%
Other values (94) 335
47.5%
2023-12-12T19:18:58.122944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 510
15.2%
510
15.2%
% 453
13.5%
5 415
12.4%
0 281
8.4%
~ 255
7.6%
6 218
6.5%
3 139
 
4.1%
2 112
 
3.3%
4 97
 
2.9%
Other values (6) 361
10.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1505
44.9%
Other Punctuation 963
28.7%
Space Separator 510
 
15.2%
Math Symbol 255
 
7.6%
Open Punctuation 59
 
1.8%
Close Punctuation 59
 
1.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 415
27.6%
0 281
18.7%
6 218
14.5%
3 139
 
9.2%
2 112
 
7.4%
4 97
 
6.4%
7 83
 
5.5%
1 68
 
4.5%
9 46
 
3.1%
8 46
 
3.1%
Other Punctuation
ValueCountFrequency (%)
. 510
53.0%
% 453
47.0%
Space Separator
ValueCountFrequency (%)
510
100.0%
Math Symbol
ValueCountFrequency (%)
~ 255
100.0%
Open Punctuation
ValueCountFrequency (%)
( 59
100.0%
Close Punctuation
ValueCountFrequency (%)
) 59
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3351
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 510
15.2%
510
15.2%
% 453
13.5%
5 415
12.4%
0 281
8.4%
~ 255
7.6%
6 218
6.5%
3 139
 
4.1%
2 112
 
3.3%
4 97
 
2.9%
Other values (6) 361
10.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3351
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 510
15.2%
510
15.2%
% 453
13.5%
5 415
12.4%
0 281
8.4%
~ 255
7.6%
6 218
6.5%
3 139
 
4.1%
2 112
 
3.3%
4 97
 
2.9%
Other values (6) 361
10.8%

금리적용기준일
Text

MISSING 

Distinct52
Distinct (%)26.8%
Missing41
Missing (%)17.4%
Memory size2.0 KiB
2023-12-12T19:18:58.285511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length13
Mean length3.1494845
Min length1

Characters and Unicode

Total characters611
Distinct characters15
Distinct categories6 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique39 ?
Unique (%)20.1%

Sample

1st row3. 25
2nd row-
3rd row-
4th row-
5th row-
ValueCountFrequency (%)
123
51.2%
1 21
 
8.8%
2 7
 
2.9%
8 6
 
2.5%
11 6
 
2.5%
6 4
 
1.7%
9 4
 
1.7%
8.1 4
 
1.7%
10.1 4
 
1.7%
6.1 3
 
1.2%
Other values (33) 58
24.2%
2023-12-12T19:18:58.610404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
175
28.6%
- 123
20.1%
1 98
16.0%
. 82
13.4%
2 25
 
4.1%
8 14
 
2.3%
( 14
 
2.3%
) 14
 
2.3%
0 12
 
2.0%
6 11
 
1.8%
Other values (5) 43
 
7.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 203
33.2%
Space Separator 175
28.6%
Dash Punctuation 123
20.1%
Other Punctuation 82
13.4%
Open Punctuation 14
 
2.3%
Close Punctuation 14
 
2.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 98
48.3%
2 25
 
12.3%
8 14
 
6.9%
0 12
 
5.9%
6 11
 
5.4%
3 10
 
4.9%
5 10
 
4.9%
7 9
 
4.4%
9 8
 
3.9%
4 6
 
3.0%
Space Separator
ValueCountFrequency (%)
175
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 123
100.0%
Other Punctuation
ValueCountFrequency (%)
. 82
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 611
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
175
28.6%
- 123
20.1%
1 98
16.0%
. 82
13.4%
2 25
 
4.1%
8 14
 
2.3%
( 14
 
2.3%
) 14
 
2.3%
0 12
 
2.0%
6 11
 
1.8%
Other values (5) 43
 
7.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 611
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
175
28.6%
- 123
20.1%
1 98
16.0%
. 82
13.4%
2 25
 
4.1%
8 14
 
2.3%
( 14
 
2.3%
) 14
 
2.3%
0 12
 
2.0%
6 11
 
1.8%
Other values (5) 43
 
7.0%

Unnamed: 6
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing235
Missing (%)100.0%
Memory size2.2 KiB

Unnamed: 7
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing235
Missing (%)100.0%
Memory size2.2 KiB

Unnamed: 8
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing235
Missing (%)100.0%
Memory size2.2 KiB

Unnamed: 9
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing235
Missing (%)100.0%
Memory size2.2 KiB

Unnamed: 10
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing235
Missing (%)100.0%
Memory size2.2 KiB

Unnamed: 11
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing235
Missing (%)100.0%
Memory size2.2 KiB

Unnamed: 12
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing235
Missing (%)100.0%
Memory size2.2 KiB

Unnamed: 13
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing235
Missing (%)100.0%
Memory size2.2 KiB

Unnamed: 14
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing235
Missing (%)100.0%
Memory size2.2 KiB

Unnamed: 15
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing235
Missing (%)100.0%
Memory size2.2 KiB

Unnamed: 16
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing235
Missing (%)100.0%
Memory size2.2 KiB

Unnamed: 17
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing235
Missing (%)100.0%
Memory size2.2 KiB

Unnamed: 18
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing235
Missing (%)100.0%
Memory size2.2 KiB

Unnamed: 19
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing235
Missing (%)100.0%
Memory size2.2 KiB

Unnamed: 20
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing235
Missing (%)100.0%
Memory size2.2 KiB

Unnamed: 21
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing235
Missing (%)100.0%
Memory size2.2 KiB

Unnamed: 22
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing235
Missing (%)100.0%
Memory size2.2 KiB

Unnamed: 23
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing235
Missing (%)100.0%
Memory size2.2 KiB

Unnamed: 24
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing235
Missing (%)100.0%
Memory size2.2 KiB

Unnamed: 25
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing235
Missing (%)100.0%
Memory size2.2 KiB

Unnamed: 26
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing235
Missing (%)100.0%
Memory size2.2 KiB

Unnamed: 27
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing235
Missing (%)100.0%
Memory size2.2 KiB

Unnamed: 28
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing235
Missing (%)100.0%
Memory size2.2 KiB

Unnamed: 29
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing235
Missing (%)100.0%
Memory size2.2 KiB

Unnamed: 30
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing235
Missing (%)100.0%
Memory size2.2 KiB

Unnamed: 31
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing235
Missing (%)100.0%
Memory size2.2 KiB

Unnamed: 32
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing235
Missing (%)100.0%
Memory size2.2 KiB

Unnamed: 33
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing235
Missing (%)100.0%
Memory size2.2 KiB

Sample

연월말월판매금액1)잔액2)적용금리3)금리적용기준일Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10Unnamed: 11Unnamed: 12Unnamed: 13Unnamed: 14Unnamed: 15Unnamed: 16Unnamed: 17Unnamed: 18Unnamed: 19Unnamed: 20Unnamed: 21Unnamed: 22Unnamed: 23Unnamed: 24Unnamed: 25Unnamed: 26Unnamed: 27Unnamed: 28Unnamed: 29Unnamed: 30Unnamed: 31Unnamed: 32Unnamed: 33
02004335106.50% ~ 6.70%3. 25<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1200443,63406.50% ~ 6.70%-<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2200454,56406.50% ~ 6.70%-<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3200463,9385,4206.50% ~ 6.70%-<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4200473,3589,4006.50% ~ 6.70%-<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5200483,31814,8296.25% ~ 6.45%8. 17<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
6200492,89418,6406.25% ~ 6.45%-<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
72004103,43222,0126.00% ~ 6.20%10. 14<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
82004113,55624,9445.75% ~ 5.95%11. 19<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
92004124,27628,7355.75% ~ 5.95%-<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
연월말월판매금액1)잔액2)적용금리3)금리적용기준일Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10Unnamed: 11Unnamed: 12Unnamed: 13Unnamed: 14Unnamed: 15Unnamed: 16Unnamed: 17Unnamed: 18Unnamed: 19Unnamed: 20Unnamed: 21Unnamed: 22Unnamed: 23Unnamed: 24Unnamed: 25Unnamed: 26Unnamed: 27Unnamed: 28Unnamed: 29Unnamed: 30Unnamed: 31Unnamed: 32Unnamed: 33
225<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
226<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
227<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
228<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
229<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
230<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
231<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
232<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
233<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
234<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>

Duplicate rows

Most frequently occurring

연월말월판매금액1)잔액2)적용금리3)금리적용기준일# duplicates
0<NA><NA><NA><NA><NA><NA>39