Overview

Dataset statistics

Number of variables12
Number of observations492
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory51.1 KiB
Average record size in memory106.3 B

Variable types

DateTime1
Categorical4
Numeric7

Dataset

Description한국무역보험공사 2019년 리보금리 입니다.
Author한국무역보험공사
URLhttps://www.data.go.kr/data/15063133/fileData.do

Alerts

2주일이자율 has constant value ""Constant
4개월이자율 has constant value ""Constant
5개월이자율 has constant value ""Constant
OVERNIGHT is highly overall correlated with 1주일이자율 and 6 other fieldsHigh correlation
1주일이자율 is highly overall correlated with OVERNIGHT and 6 other fieldsHigh correlation
1개월이자율 is highly overall correlated with OVERNIGHT and 6 other fieldsHigh correlation
2개월이자율 is highly overall correlated with OVERNIGHT and 6 other fieldsHigh correlation
3개월이자율 is highly overall correlated with OVERNIGHT and 6 other fieldsHigh correlation
6개월이자율 is highly overall correlated with OVERNIGHT and 6 other fieldsHigh correlation
1년물이자율 is highly overall correlated with OVERNIGHT and 6 other fieldsHigh correlation
통화코드 is highly overall correlated with OVERNIGHT and 6 other fieldsHigh correlation
OVERNIGHT has 259 (52.6%) zerosZeros
1주일이자율 has 14 (2.8%) zerosZeros
1개월이자율 has 6 (1.2%) zerosZeros
2개월이자율 has 11 (2.2%) zerosZeros
1년물이자율 has 7 (1.4%) zerosZeros

Reproduction

Analysis started2023-12-12 16:41:51.636202
Analysis finished2023-12-12 16:41:58.083641
Duration6.45 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준일자
Date

Distinct246
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
Minimum2018-12-31 00:00:00
Maximum2019-12-27 00:00:00
2023-12-13T01:41:58.498125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:41:58.681625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

통화코드
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
USD
246 
JPY
246 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowUSD
2nd rowJPY
3rd rowUSD
4th rowJPY
5th rowUSD

Common Values

ValueCountFrequency (%)
USD 246
50.0%
JPY 246
50.0%

Length

2023-12-13T01:41:58.868668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:41:58.995969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
usd 246
50.0%
jpy 246
50.0%

OVERNIGHT
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct201
Distinct (%)40.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0173648
Minimum0
Maximum2.40275
Zeros259
Zeros (%)52.6%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-13T01:41:59.124743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32.3496575
95-th percentile2.39038
Maximum2.40275
Range2.40275
Interquartile range (IQR)2.3496575

Descriptive statistics

Standard deviation1.0954056
Coefficient of variation (CV)1.0767088
Kurtosis-1.8606187
Mean1.0173648
Median Absolute Deviation (MAD)0
Skewness0.21062659
Sum500.5435
Variance1.1999135
MonotonicityNot monotonic
2023-12-13T01:41:59.312683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 259
52.6%
2.38488 3
 
0.6%
2.39038 3
 
0.6%
2.39413 3
 
0.6%
2.39013 3
 
0.6%
2.3545 2
 
0.4%
2.35638 2
 
0.4%
2.3885 2
 
0.4%
2.38625 2
 
0.4%
2.38275 2
 
0.4%
Other values (191) 211
42.9%
ValueCountFrequency (%)
0.0 259
52.6%
1.52538 1
 
0.2%
1.527 1
 
0.2%
1.529 2
 
0.4%
1.52913 1
 
0.2%
1.52938 1
 
0.2%
1.5295 1
 
0.2%
1.52988 1
 
0.2%
1.53063 1
 
0.2%
1.53313 1
 
0.2%
ValueCountFrequency (%)
2.40275 1
 
0.2%
2.4 1
 
0.2%
2.39938 1
 
0.2%
2.39413 3
0.6%
2.394 1
 
0.2%
2.39388 1
 
0.2%
2.39375 1
 
0.2%
2.393 1
 
0.2%
2.39275 2
0.4%
2.39263 1
 
0.2%

1주일이자율
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct393
Distinct (%)79.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0123528
Minimum-0.1655
Maximum2.43088
Zeros14
Zeros (%)2.8%
Negative238
Negative (%)48.4%
Memory size4.5 KiB
2023-12-13T01:41:59.480819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.1655
5-th percentile-0.116725
Q1-0.0935
median0
Q32.37475
95-th percentile2.4141125
Maximum2.43088
Range2.59638
Interquartile range (IQR)2.46825

Descriptive statistics

Standard deviation1.151626
Coefficient of variation (CV)1.1375738
Kurtosis-1.8883641
Mean1.0123528
Median Absolute Deviation (MAD)0.1433
Skewness0.14333647
Sum498.07757
Variance1.3262425
MonotonicityNot monotonic
2023-12-13T01:41:59.648839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 14
 
2.8%
-0.0866 6
 
1.2%
-0.0963 4
 
0.8%
2.41238 4
 
0.8%
-0.0773 4
 
0.8%
2.40975 4
 
0.8%
-0.087 3
 
0.6%
2.3785 3
 
0.6%
2.4095 3
 
0.6%
2.40925 3
 
0.6%
Other values (383) 444
90.2%
ValueCountFrequency (%)
-0.1655 1
0.2%
-0.1556 1
0.2%
-0.152 2
0.4%
-0.1511 1
0.2%
-0.1458 1
0.2%
-0.1408 1
0.2%
-0.1396 1
0.2%
-0.139 1
0.2%
-0.1383 1
0.2%
-0.1325 1
0.2%
ValueCountFrequency (%)
2.43088 1
0.2%
2.427 1
0.2%
2.42663 1
0.2%
2.4265 1
0.2%
2.42538 1
0.2%
2.42438 1
0.2%
2.423 1
0.2%
2.42125 1
0.2%
2.42013 1
0.2%
2.41863 1
0.2%

2주일이자율
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
0
492 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 492
100.0%

Length

2023-12-13T01:41:59.806874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:41:59.902891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 492
100.0%

1개월이자율
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct410
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0418377
Minimum-0.2073
Maximum2.52056
Zeros6
Zeros (%)1.2%
Negative244
Negative (%)49.6%
Memory size4.5 KiB
2023-12-13T01:42:00.019909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.2073
5-th percentile-0.14405
Q1-0.1086
median0
Q32.37941
95-th percentile2.5022445
Maximum2.52056
Range2.72786
Interquartile range (IQR)2.48801

Descriptive statistics

Standard deviation1.1905079
Coefficient of variation (CV)1.1427
Kurtosis-1.9061082
Mean1.0418377
Median Absolute Deviation (MAD)0.1961
Skewness0.11088067
Sum512.58414
Variance1.4173092
MonotonicityNot monotonic
2023-12-13T01:42:00.191329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.1008 7
 
1.4%
0.0 6
 
1.2%
-0.099 5
 
1.0%
-0.0998 5
 
1.0%
-0.1151 4
 
0.8%
-0.1098 3
 
0.6%
-0.1045 3
 
0.6%
-0.0978 3
 
0.6%
-0.105 3
 
0.6%
-0.1205 3
 
0.6%
Other values (400) 450
91.5%
ValueCountFrequency (%)
-0.2073 1
0.2%
-0.2066 1
0.2%
-0.1998 1
0.2%
-0.1991 1
0.2%
-0.1931 1
0.2%
-0.191 1
0.2%
-0.1856 1
0.2%
-0.185 1
0.2%
-0.1786 1
0.2%
-0.1658 1
0.2%
ValueCountFrequency (%)
2.52056 1
0.2%
2.519 1
0.2%
2.51875 1
0.2%
2.51688 1
0.2%
2.5155 1
0.2%
2.51419 1
0.2%
2.514 1
0.2%
2.51375 1
0.2%
2.51325 1
0.2%
2.51313 1
0.2%

2개월이자율
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct404
Distinct (%)82.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0952645
Minimum-0.1316
Maximum2.65288
Zeros11
Zeros (%)2.2%
Negative236
Negative (%)48.0%
Memory size4.5 KiB
2023-12-13T01:42:00.356965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.1316
5-th percentile-0.112025
Q1-0.09435
median0
Q32.3409725
95-th percentile2.611759
Maximum2.65288
Range2.78448
Interquartile range (IQR)2.4353225

Descriptive statistics

Standard deviation1.2093464
Coefficient of variation (CV)1.1041592
Kurtosis-1.9078006
Mean1.0952645
Median Absolute Deviation (MAD)0.13055
Skewness0.085809394
Sum538.87013
Variance1.4625186
MonotonicityNot monotonic
2023-12-13T01:42:00.509468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 11
 
2.2%
-0.0965 4
 
0.8%
-0.0953 4
 
0.8%
-0.1043 3
 
0.6%
-0.0975 3
 
0.6%
-0.0896 3
 
0.6%
-0.0731 3
 
0.6%
-0.0863 3
 
0.6%
-0.0875 3
 
0.6%
-0.0876 3
 
0.6%
Other values (394) 452
91.9%
ValueCountFrequency (%)
-0.1316 1
0.2%
-0.1295 1
0.2%
-0.125 1
0.2%
-0.1246 1
0.2%
-0.1233 1
0.2%
-0.1216 1
0.2%
-0.1203 1
0.2%
-0.1186 1
0.2%
-0.1173 1
0.2%
-0.1171 1
0.2%
ValueCountFrequency (%)
2.65288 1
0.2%
2.648 1
0.2%
2.64638 2
0.4%
2.64613 1
0.2%
2.64225 1
0.2%
2.64188 1
0.2%
2.63963 1
0.2%
2.63775 1
0.2%
2.637 1
0.2%
2.63438 1
0.2%

3개월이자율
Real number (ℝ)

HIGH CORRELATION 

Distinct411
Distinct (%)83.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1264949
Minimum-0.1181
Maximum2.80763
Zeros1
Zeros (%)0.2%
Negative245
Negative (%)49.8%
Memory size4.5 KiB
2023-12-13T01:42:00.655269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.1181
5-th percentile-0.108025
Q1-0.078025
median0.9425
Q32.33038
95-th percentile2.7352215
Maximum2.80763
Range2.92573
Interquartile range (IQR)2.408405

Descriptive statistics

Standard deviation1.2276217
Coefficient of variation (CV)1.0897712
Kurtosis-1.8925336
Mean1.1264949
Median Absolute Deviation (MAD)1.04195
Skewness0.086690387
Sum554.2355
Variance1.5070551
MonotonicityNot monotonic
2023-12-13T01:42:00.821499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.0616 4
 
0.8%
-0.0745 4
 
0.8%
-0.064 4
 
0.8%
-0.0783 4
 
0.8%
-0.0898 3
 
0.6%
-0.0698 3
 
0.6%
-0.0835 3
 
0.6%
-0.0665 3
 
0.6%
-0.0775 3
 
0.6%
-0.0816 3
 
0.6%
Other values (401) 458
93.1%
ValueCountFrequency (%)
-0.1181 1
0.2%
-0.1178 1
0.2%
-0.1168 1
0.2%
-0.1166 1
0.2%
-0.116 1
0.2%
-0.1158 1
0.2%
-0.1155 1
0.2%
-0.1153 2
0.4%
-0.115 1
0.2%
-0.1146 1
0.2%
ValueCountFrequency (%)
2.80763 1
0.2%
2.80388 1
0.2%
2.79888 1
0.2%
2.79694 1
0.2%
2.79681 1
0.2%
2.795 1
0.2%
2.79388 1
0.2%
2.78731 1
0.2%
2.7825 1
0.2%
2.78031 1
0.2%

4개월이자율
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
0
492 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 492
100.0%

Length

2023-12-13T01:42:00.983902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:42:01.078895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 492
100.0%

5개월이자율
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
0
492 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 492
100.0%

Length

2023-12-13T01:42:01.172568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:42:01.260649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 492
100.0%

6개월이자율
Real number (ℝ)

HIGH CORRELATION 

Distinct411
Distinct (%)83.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1493089
Minimum-0.0715
Maximum2.87563
Zeros1
Zeros (%)0.2%
Negative144
Negative (%)29.3%
Memory size4.5 KiB
2023-12-13T01:42:01.358314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.0715
5-th percentile-0.052225
Q1-0.0052
median0.023665
Q32.216845
95-th percentile2.783125
Maximum2.87563
Range2.94713
Interquartile range (IQR)2.222045

Descriptive statistics

Standard deviation1.1959043
Coefficient of variation (CV)1.0405422
Kurtosis-1.8377043
Mean1.1493089
Median Absolute Deviation (MAD)0.095065
Skewness0.1284895
Sum565.45996
Variance1.4301872
MonotonicityNot monotonic
2023-12-13T01:42:01.504047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0055 7
 
1.4%
0.00583 5
 
1.0%
0.00467 4
 
0.8%
0.0065 4
 
0.8%
0.00317 4
 
0.8%
-0.0475 4
 
0.8%
0.00617 4
 
0.8%
0.00433 4
 
0.8%
-0.0021 3
 
0.6%
0.00533 3
 
0.6%
Other values (401) 450
91.5%
ValueCountFrequency (%)
-0.0715 1
0.2%
-0.0713 1
0.2%
-0.0698 1
0.2%
-0.069 1
0.2%
-0.0676 1
0.2%
-0.067 2
0.4%
-0.061 1
0.2%
-0.0596 1
0.2%
-0.0591 1
0.2%
-0.059 1
0.2%
ValueCountFrequency (%)
2.87563 1
0.2%
2.87394 1
0.2%
2.86975 1
0.2%
2.86463 1
0.2%
2.86163 1
0.2%
2.86044 1
0.2%
2.85888 1
0.2%
2.85575 1
0.2%
2.85475 1
0.2%
2.85363 2
0.4%

1년물이자율
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct419
Distinct (%)85.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.2120776
Minimum-0.0001
Maximum3.03988
Zeros7
Zeros (%)1.4%
Negative1
Negative (%)0.2%
Memory size4.5 KiB
2023-12-13T01:42:01.657957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.0001
5-th percentile0.027292
Q10.08833
median0.11425
Q32.20238
95-th percentile2.963296
Maximum3.03988
Range3.03998
Interquartile range (IQR)2.11405

Descriptive statistics

Standard deviation1.1917862
Coefficient of variation (CV)0.98325901
Kurtosis-1.7458243
Mean1.2120776
Median Absolute Deviation (MAD)0.11425
Skewness0.20013499
Sum596.34218
Variance1.4203544
MonotonicityNot monotonic
2023-12-13T01:42:01.822120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 7
 
1.4%
0.09033 6
 
1.2%
0.09483 4
 
0.8%
0.10833 3
 
0.6%
1.94938 3
 
0.6%
0.09433 3
 
0.6%
0.09217 3
 
0.6%
0.10567 3
 
0.6%
0.10683 3
 
0.6%
0.10633 3
 
0.6%
Other values (409) 454
92.3%
ValueCountFrequency (%)
-0.0001 1
 
0.2%
0.0 7
1.4%
0.00283 1
 
0.2%
0.00433 1
 
0.2%
0.00817 1
 
0.2%
0.015 1
 
0.2%
0.01517 1
 
0.2%
0.02117 1
 
0.2%
0.02133 1
 
0.2%
0.0215 1
 
0.2%
ValueCountFrequency (%)
3.03988 1
0.2%
3.039 1
0.2%
3.03713 1
0.2%
3.035 1
0.2%
3.0315 1
0.2%
3.03013 2
0.4%
3.03 1
0.2%
3.02913 1
0.2%
3.02375 1
0.2%
3.02063 1
0.2%

Interactions

2023-12-13T01:41:56.957495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:41:52.013274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:41:52.783780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:41:53.678550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:41:54.494531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:41:55.304543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:41:56.112041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:41:57.058308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:41:52.115383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:41:52.959853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:41:53.790549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:41:54.608435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:41:55.424059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:41:56.215223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:41:57.181326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:41:52.212044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:41:53.080345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:41:53.892538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:41:54.710714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:41:55.546819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:41:56.327628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:41:57.301850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:41:52.300997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:41:53.196717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:41:54.013061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:41:54.826707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:41:55.669075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:41:56.450904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:41:57.420010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:41:52.412735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:41:53.314242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:41:54.164625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:41:54.952178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:41:55.807108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:41:56.575319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:41:57.531768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:41:52.541698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:41:53.425514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:41:54.274437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:41:55.073364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:41:55.906259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:41:56.704864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:41:57.657511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:41:52.655500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:41:53.552576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:41:54.375323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:41:55.191031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:41:56.003408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:41:56.835933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T01:42:01.964232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
통화코드OVERNIGHT1주일이자율1개월이자율2개월이자율3개월이자율6개월이자율1년물이자율
통화코드1.0000.8230.8650.8811.0001.0000.9180.891
OVERNIGHT0.8231.0000.9950.9730.8690.9770.9560.943
1주일이자율0.8650.9951.0000.9810.8760.9820.9670.949
1개월이자율0.8810.9730.9811.0000.8720.9710.9720.947
2개월이자율1.0000.8690.8760.8721.0000.8760.9260.843
3개월이자율1.0000.9770.9820.9710.8761.0000.9790.989
6개월이자율0.9180.9560.9670.9720.9260.9791.0000.973
1년물이자율0.8910.9430.9490.9470.8430.9890.9731.000
2023-12-13T01:42:02.129680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
OVERNIGHT1주일이자율1개월이자율2개월이자율3개월이자율6개월이자율1년물이자율통화코드
OVERNIGHT1.0000.8820.8810.8800.8840.8770.8600.945
1주일이자율0.8821.0000.8730.8540.8750.8810.8670.973
1개월이자율0.8810.8731.0000.9310.8740.8990.8800.981
2개월이자율0.8800.8540.9311.0000.9310.9350.9010.994
3개월이자율0.8840.8750.8740.9311.0000.9610.9080.997
6개월이자율0.8770.8810.8990.9350.9611.0000.9540.993
1년물이자율0.8600.8670.8800.9010.9080.9541.0000.985
통화코드0.9450.9730.9810.9940.9970.9930.9851.000

Missing values

2023-12-13T01:41:57.822526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T01:41:58.004920image/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

기준일자통화코드OVERNIGHT1주일이자율2주일이자율1개월이자율2개월이자율3개월이자율4개월이자율5개월이자율6개월이자율1년물이자율
02018-12-31USD2.378252.4113802.502692.613752.80763002.875633.00544
12018-12-31JPY0.0-0.09030-0.1076-0.0783-0.0726000.009830.10633
22019-01-02USD2.386752.4147502.507132.617382.79388002.873943.002
32019-01-02JPY0.0-0.08550-0.0878-0.0731-0.074000.00650.10817
42019-01-03USD2.391882.4132502.512752.620382.795002.858883.005
52019-01-03JPY0.0-0.09460-0.099-0.0836-0.0756000.009330.10967
62019-01-04JPY0.0-0.09660-0.094-0.08-0.0745000.007330.10267
72019-01-04USD2.3942.4097502.520562.623132.80388002.855752.96488
82019-01-07JPY0.0-0.09560-0.1011-0.0833-0.072000.00550.104
92019-01-07USD2.392752.4051302.511132.633882.79681002.848752.99475
기준일자통화코드OVERNIGHT1주일이자율2주일이자율1개월이자율2개월이자율3개월이자율4개월이자율5개월이자율6개월이자율1년물이자율
4822019-12-19JPY0.0-0.08080-0.1261-0.0788-0.0583000.0140.10667
4832019-12-19USD1.5341.5752501.785131.844751.92775001.916251.998
4842019-12-20JPY0.0-0.11650-0.1058-0.0623-0.0491000.020330.11417
4852019-12-20USD1.536631.5761301.779881.850251.93475001.92051.99963
4862019-12-23JPY0.0-0.11550-0.0985-0.0735-0.0455000.02250.11433
4872019-12-23USD1.53451.602501.7921.843881.94663001.924382.0015
4882019-12-24JPY0.0-0.12410-0.0921-0.0665-0.0423000.023330.11433
4892019-12-24USD1.533131.6086301.804751.8531.9605001.921252.012
4902019-12-27USD1.536251.62401.799381.849131.94463001.920752.00425
4912019-12-27JPY0.0-0.09630-0.0793-0.0661-0.041000.0240.10833