Overview

Dataset statistics

Number of variables17
Number of observations588
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory87.4 KiB
Average record size in memory152.2 B

Variable types

DateTime1
Numeric16

Dataset

Description강원특별자치도 홍천군 코로나바이러스 발생동향 데이터공개항목: 기준일, 확진자 수, 확진_격리자 수, 확진_퇴원자 수, 확진_사망자 수, 자가격리_누적 수, 자가격리_격리해제 수, 검사자 수, 백신 접종률 등
Author강원특별자치도 홍천군
URLhttps://www.data.go.kr/data/15099045/fileData.do

Alerts

확진자 is highly overall correlated with 확진_퇴원 and 11 other fieldsHigh correlation
신규_확진자 is highly overall correlated with 확진_격리중High correlation
확진_격리중 is highly overall correlated with 신규_확진자High correlation
확진_퇴원 is highly overall correlated with 확진자 and 11 other fieldsHigh correlation
확진_사망 is highly overall correlated with 확진자 and 11 other fieldsHigh correlation
자가격리_누적 is highly overall correlated with 확진자 and 11 other fieldsHigh correlation
자가격리_격리중 is highly overall correlated with 확진자 and 11 other fieldsHigh correlation
자가격리_격리해제 is highly overall correlated with 확진자 and 11 other fieldsHigh correlation
검사자 is highly overall correlated with 확진자 and 11 other fieldsHigh correlation
전일검사자 is highly overall correlated with 확진자 and 11 other fieldsHigh correlation
전일검사 음성 is highly overall correlated with 확진자 and 11 other fieldsHigh correlation
2차접종자수 is highly overall correlated with 확진자 and 11 other fieldsHigh correlation
1차접종자수 is highly overall correlated with 확진자 and 11 other fieldsHigh correlation
3차접종자수 is highly overall correlated with 확진자 and 11 other fieldsHigh correlation
3차접종률 is highly overall correlated with 확진자 and 11 other fieldsHigh correlation
자가격리_격리해제 is highly skewed (γ1 = 20.37496605)Skewed
기준일 has unique valuesUnique
신규_확진자 has 10 (1.7%) zerosZeros
자가격리_격리중 has 230 (39.1%) zerosZeros
전일검사 음성 has 70 (11.9%) zerosZeros
3차접종자수 has 59 (10.0%) zerosZeros
3차접종률 has 60 (10.2%) zerosZeros

Reproduction

Analysis started2024-03-14 23:31:47.583104
Analysis finished2024-03-14 23:33:03.312907
Duration1 minute and 15.73 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준일
Date

UNIQUE 

Distinct588
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.7 KiB
Minimum2021-09-30 00:00:00
Maximum2023-06-24 00:00:00
2024-03-15T08:33:03.690169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:33:04.038695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

확진자
Real number (ℝ)

HIGH CORRELATION 

Distinct576
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24261.497
Minimum368
Maximum39542
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.3 KiB
2024-03-15T08:33:04.289640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum368
5-th percentile467.6
Q116021
median29302
Q337664.75
95-th percentile39154
Maximum39542
Range39174
Interquartile range (IQR)21643.75

Descriptive statistics

Standard deviation13968.846
Coefficient of variation (CV)0.57576191
Kurtosis-1.0575093
Mean24261.497
Median Absolute Deviation (MAD)8936
Skewness-0.61516262
Sum14265760
Variance1.9512865 × 108
MonotonicityNot monotonic
2024-03-15T08:33:04.714996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
396 3
 
0.5%
771 3
 
0.5%
21139 2
 
0.3%
431 2
 
0.3%
407 2
 
0.3%
32171 2
 
0.3%
401 2
 
0.3%
773 2
 
0.3%
747 2
 
0.3%
377 2
 
0.3%
Other values (566) 566
96.3%
ValueCountFrequency (%)
368 1
 
0.2%
373 1
 
0.2%
375 1
 
0.2%
377 2
0.3%
378 1
 
0.2%
383 1
 
0.2%
394 1
 
0.2%
396 3
0.5%
397 1
 
0.2%
401 2
0.3%
ValueCountFrequency (%)
39542 1
0.2%
39537 1
0.2%
39530 1
0.2%
39522 1
0.2%
39512 1
0.2%
39490 1
0.2%
39477 1
0.2%
39470 1
0.2%
39458 1
0.2%
39447 1
0.2%

신규_확진자
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct181
Distinct (%)30.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean67.409864
Minimum0
Maximum975
Zeros10
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size5.3 KiB
2024-03-15T08:33:05.208234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q111
median28
Q382
95-th percentile295.15
Maximum975
Range975
Interquartile range (IQR)71

Descriptive statistics

Standard deviation99.773322
Coefficient of variation (CV)1.4800997
Kurtosis15.82379
Mean67.409864
Median Absolute Deviation (MAD)22
Skewness3.2441473
Sum39637
Variance9954.7159
MonotonicityNot monotonic
2024-03-15T08:33:05.646168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11 23
 
3.9%
15 18
 
3.1%
4 16
 
2.7%
1 14
 
2.4%
14 14
 
2.4%
16 13
 
2.2%
13 13
 
2.2%
12 13
 
2.2%
9 13
 
2.2%
2 12
 
2.0%
Other values (171) 439
74.7%
ValueCountFrequency (%)
0 10
1.7%
1 14
2.4%
2 12
2.0%
3 12
2.0%
4 16
2.7%
5 11
1.9%
6 11
1.9%
7 9
1.5%
8 9
1.5%
9 13
2.2%
ValueCountFrequency (%)
975 1
0.2%
557 1
0.2%
506 1
0.2%
470 1
0.2%
469 1
0.2%
461 1
0.2%
446 1
0.2%
428 1
0.2%
412 2
0.3%
405 1
0.2%

확진_격리중
Real number (ℝ)

HIGH CORRELATION 

Distinct356
Distinct (%)60.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9351.3044
Minimum8
Maximum543355
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.3 KiB
2024-03-15T08:33:05.990758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile20
Q152
median134.5
Q3395
95-th percentile5729.35
Maximum543355
Range543347
Interquartile range (IQR)343

Descriptive statistics

Standard deviation55808.586
Coefficient of variation (CV)5.9680001
Kurtosis64.102922
Mean9351.3044
Median Absolute Deviation (MAD)109
Skewness7.7373902
Sum5498567
Variance3.1145982 × 109
MonotonicityNot monotonic
2024-03-15T08:33:06.438523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40 10
 
1.7%
21 8
 
1.4%
52 8
 
1.4%
34 7
 
1.2%
19 7
 
1.2%
42 7
 
1.2%
50 7
 
1.2%
22 6
 
1.0%
86 6
 
1.0%
46 6
 
1.0%
Other values (346) 516
87.8%
ValueCountFrequency (%)
8 1
 
0.2%
10 2
 
0.3%
11 1
 
0.2%
12 4
0.7%
13 3
0.5%
15 5
0.9%
16 2
 
0.3%
17 2
 
0.3%
18 2
 
0.3%
19 7
1.2%
ValueCountFrequency (%)
543355 1
0.2%
540155 1
0.2%
539449 1
0.2%
534340 1
0.2%
429935 1
0.2%
328632 1
0.2%
326831 1
0.2%
252054 1
0.2%
245852 1
0.2%
221123 1
0.2%

확진_퇴원
Real number (ℝ)

HIGH CORRELATION 

Distinct507
Distinct (%)86.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21187.337
Minimum357
Maximum34882
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.3 KiB
2024-03-15T08:33:06.846977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum357
5-th percentile417.45
Q112565.25
median25472
Q333209
95-th percentile34519.6
Maximum34882
Range34525
Interquartile range (IQR)20643.75

Descriptive statistics

Standard deviation12458.568
Coefficient of variation (CV)0.58801954
Kurtosis-1.1124415
Mean21187.337
Median Absolute Deviation (MAD)8172.5
Skewness-0.58868177
Sum12458154
Variance1.5521592 × 108
MonotonicityNot monotonic
2024-03-15T08:33:07.258462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
479 6
 
1.0%
357 5
 
0.9%
1481 5
 
0.9%
425 4
 
0.7%
405 4
 
0.7%
389 4
 
0.7%
941 3
 
0.5%
2174 3
 
0.5%
3479 3
 
0.5%
17438 3
 
0.5%
Other values (497) 548
93.2%
ValueCountFrequency (%)
357 5
0.9%
358 2
 
0.3%
370 2
 
0.3%
374 2
 
0.3%
377 2
 
0.3%
378 2
 
0.3%
384 1
 
0.2%
389 4
0.7%
394 1
 
0.2%
398 2
 
0.3%
ValueCountFrequency (%)
34882 1
0.2%
34871 1
0.2%
34855 1
0.2%
34847 1
0.2%
34840 1
0.2%
34836 1
0.2%
34822 1
0.2%
34813 1
0.2%
34803 1
0.2%
34790 1
0.2%

확진_사망
Real number (ℝ)

HIGH CORRELATION 

Distinct27
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.869048
Minimum1
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.3 KiB
2024-03-15T08:33:07.627003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q123
median33
Q335
95-th percentile35
Maximum35
Range34
Interquartile range (IQR)12

Descriptive statistics

Standard deviation12.315342
Coefficient of variation (CV)0.47606478
Kurtosis-0.23039658
Mean25.869048
Median Absolute Deviation (MAD)2
Skewness-1.2041725
Sum15211
Variance151.66766
MonotonicityNot monotonic
2024-03-15T08:33:08.045616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
35 178
30.3%
34 75
12.8%
29 74
12.6%
1 50
 
8.5%
33 44
 
7.5%
2 29
 
4.9%
27 23
 
3.9%
28 22
 
3.7%
30 14
 
2.4%
5 9
 
1.5%
Other values (17) 70
 
11.9%
ValueCountFrequency (%)
1 50
8.5%
2 29
4.9%
3 7
 
1.2%
4 4
 
0.7%
5 9
 
1.5%
6 6
 
1.0%
8 6
 
1.0%
9 8
 
1.4%
11 1
 
0.2%
12 2
 
0.3%
ValueCountFrequency (%)
35 178
30.3%
34 75
12.8%
33 44
 
7.5%
32 4
 
0.7%
31 5
 
0.9%
30 14
 
2.4%
29 74
12.6%
28 22
 
3.7%
27 23
 
3.9%
23 5
 
0.9%

자가격리_누적
Real number (ℝ)

HIGH CORRELATION 

Distinct184
Distinct (%)31.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6941.7619
Minimum1967
Maximum7329
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.3 KiB
2024-03-15T08:33:08.451800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1967
5-th percentile3924
Q17224
median7310
Q37324
95-th percentile7328
Maximum7329
Range5362
Interquartile range (IQR)100

Descriptive statistics

Standard deviation919.84289
Coefficient of variation (CV)0.13250856
Kurtosis7.3792352
Mean6941.7619
Median Absolute Deviation (MAD)19
Skewness-2.8617011
Sum4081756
Variance846110.94
MonotonicityNot monotonic
2024-03-15T08:33:08.713138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7324 124
21.1%
7318 40
 
6.8%
7329 27
 
4.6%
7322 18
 
3.1%
7275 17
 
2.9%
7317 15
 
2.6%
7323 11
 
1.9%
7321 10
 
1.7%
7274 9
 
1.5%
7326 8
 
1.4%
Other values (174) 309
52.6%
ValueCountFrequency (%)
1967 1
0.2%
3535 1
0.2%
3542 1
0.2%
3549 1
0.2%
3554 1
0.2%
3555 1
0.2%
3575 1
0.2%
3589 1
0.2%
3728 1
0.2%
3729 2
0.3%
ValueCountFrequency (%)
7329 27
 
4.6%
7328 4
 
0.7%
7327 5
 
0.9%
7326 8
 
1.4%
7325 2
 
0.3%
7324 124
21.1%
7323 11
 
1.9%
7322 18
 
3.1%
7321 10
 
1.7%
7320 6
 
1.0%

자가격리_격리중
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct83
Distinct (%)14.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.668367
Minimum0
Maximum1069
Zeros230
Zeros (%)39.1%
Negative0
Negative (%)0.0%
Memory size5.3 KiB
2024-03-15T08:33:09.139595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q37
95-th percentile143.2
Maximum1069
Range1069
Interquartile range (IQR)7

Descriptive statistics

Standard deviation95.47898
Coefficient of variation (CV)3.4508354
Kurtosis60.935336
Mean27.668367
Median Absolute Deviation (MAD)1
Skewness7.0214354
Sum16269
Variance9116.2357
MonotonicityNot monotonic
2024-03-15T08:33:09.528515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 230
39.1%
1 100
17.0%
2 35
 
6.0%
3 25
 
4.3%
4 25
 
4.3%
5 15
 
2.6%
6 9
 
1.5%
13 9
 
1.5%
8 7
 
1.2%
9 6
 
1.0%
Other values (73) 127
21.6%
ValueCountFrequency (%)
0 230
39.1%
1 100
17.0%
2 35
 
6.0%
3 25
 
4.3%
4 25
 
4.3%
5 15
 
2.6%
6 9
 
1.5%
7 4
 
0.7%
8 7
 
1.2%
9 6
 
1.0%
ValueCountFrequency (%)
1069 1
 
0.2%
978 1
 
0.2%
855 2
0.3%
553 1
 
0.2%
365 2
0.3%
339 1
 
0.2%
308 1
 
0.2%
300 3
0.5%
297 1
 
0.2%
263 2
0.3%

자가격리_격리해제
Real number (ℝ)

HIGH CORRELATION  SKEWED 

Distinct195
Distinct (%)33.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7022.3537
Minimum1082
Maximum77270
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.3 KiB
2024-03-15T08:33:09.838624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1082
5-th percentile3766.95
Q17218.75
median7308
Q37324
95-th percentile7327
Maximum77270
Range76188
Interquartile range (IQR)105.25

Descriptive statistics

Standard deviation3069.6502
Coefficient of variation (CV)0.43712555
Kurtosis469.15677
Mean7022.3537
Median Absolute Deviation (MAD)20
Skewness20.374966
Sum4129144
Variance9422752.6
MonotonicityNot monotonic
2024-03-15T08:33:10.303003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7324 123
 
20.9%
7318 39
 
6.6%
7329 23
 
3.9%
7322 18
 
3.1%
7317 13
 
2.2%
7323 12
 
2.0%
7274 11
 
1.9%
7275 10
 
1.7%
7326 9
 
1.5%
7321 9
 
1.5%
Other values (185) 321
54.6%
ValueCountFrequency (%)
1082 1
 
0.2%
1222 1
 
0.2%
3493 1
 
0.2%
3511 1
 
0.2%
3513 3
0.5%
3527 2
0.3%
3546 1
 
0.2%
3578 1
 
0.2%
3591 1
 
0.2%
3594 1
 
0.2%
ValueCountFrequency (%)
77270 1
 
0.2%
7329 23
 
3.9%
7328 3
 
0.5%
7327 4
 
0.7%
7326 9
 
1.5%
7325 1
 
0.2%
7324 123
20.9%
7323 12
 
2.0%
7322 18
 
3.1%
7321 9
 
1.5%

검사자
Real number (ℝ)

HIGH CORRELATION 

Distinct563
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean195872.21
Minimum85406
Maximum237280
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.3 KiB
2024-03-15T08:33:10.677629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum85406
5-th percentile98381
Q1187703.75
median211010.5
Q3227605.75
95-th percentile236236.45
Maximum237280
Range151874
Interquartile range (IQR)39902

Descriptive statistics

Standard deviation41996.743
Coefficient of variation (CV)0.21440889
Kurtosis0.44833452
Mean195872.21
Median Absolute Deviation (MAD)18179.5
Skewness-1.2550538
Sum1.1517286 × 108
Variance1.7637264 × 109
MonotonicityNot monotonic
2024-03-15T08:33:11.312043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
196439 2
 
0.3%
123127 2
 
0.3%
96124 2
 
0.3%
205178 2
 
0.3%
109837 2
 
0.3%
142236 2
 
0.3%
117308 2
 
0.3%
118058 2
 
0.3%
120222 2
 
0.3%
234524 2
 
0.3%
Other values (553) 568
96.6%
ValueCountFrequency (%)
85406 1
0.2%
85640 1
0.2%
85841 1
0.2%
86029 1
0.2%
86461 1
0.2%
86743 1
0.2%
87044 1
0.2%
88194 1
0.2%
88227 1
0.2%
88335 1
0.2%
ValueCountFrequency (%)
237280 1
0.2%
237235 1
0.2%
237215 1
0.2%
237205 1
0.2%
237183 1
0.2%
237166 1
0.2%
237139 1
0.2%
237127 1
0.2%
237110 1
0.2%
237087 1
0.2%

전일검사자
Real number (ℝ)

HIGH CORRELATION 

Distinct335
Distinct (%)57.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean247.02381
Minimum1
Maximum2046
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.3 KiB
2024-03-15T08:33:11.765352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile17
Q141.75
median107.5
Q3358.5
95-th percentile908.3
Maximum2046
Range2045
Interquartile range (IQR)316.75

Descriptive statistics

Standard deviation300.84829
Coefficient of variation (CV)1.2178919
Kurtosis4.5100463
Mean247.02381
Median Absolute Deviation (MAD)84.5
Skewness1.9546717
Sum145250
Variance90509.693
MonotonicityNot monotonic
2024-03-15T08:33:12.232338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
23 10
 
1.7%
35 9
 
1.5%
44 9
 
1.5%
17 8
 
1.4%
55 8
 
1.4%
33 7
 
1.2%
46 7
 
1.2%
28 7
 
1.2%
61 7
 
1.2%
22 7
 
1.2%
Other values (325) 509
86.6%
ValueCountFrequency (%)
1 1
 
0.2%
3 1
 
0.2%
7 1
 
0.2%
9 2
 
0.3%
10 1
 
0.2%
11 4
0.7%
12 5
0.9%
13 3
0.5%
14 3
0.5%
15 1
 
0.2%
ValueCountFrequency (%)
2046 1
0.2%
1663 1
0.2%
1576 1
0.2%
1366 1
0.2%
1261 1
0.2%
1251 1
0.2%
1228 1
0.2%
1202 1
0.2%
1181 1
0.2%
1168 1
0.2%

전일검사 음성
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct249
Distinct (%)42.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean181.07823
Minimum0
Maximum1550
Zeros70
Zeros (%)11.9%
Negative0
Negative (%)0.0%
Memory size5.3 KiB
2024-03-15T08:33:12.664051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q111
median35
Q3306.75
95-th percentile665
Maximum1550
Range1550
Interquartile range (IQR)295.75

Descriptive statistics

Standard deviation255.70037
Coefficient of variation (CV)1.4120989
Kurtosis3.918662
Mean181.07823
Median Absolute Deviation (MAD)35
Skewness1.8519866
Sum106474
Variance65382.679
MonotonicityNot monotonic
2024-03-15T08:33:13.166703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 70
 
11.9%
15 13
 
2.2%
11 13
 
2.2%
3 12
 
2.0%
17 11
 
1.9%
7 11
 
1.9%
18 10
 
1.7%
665 10
 
1.7%
14 9
 
1.5%
5 8
 
1.4%
Other values (239) 421
71.6%
ValueCountFrequency (%)
0 70
11.9%
1 1
 
0.2%
2 6
 
1.0%
3 12
 
2.0%
4 5
 
0.9%
5 8
 
1.4%
6 7
 
1.2%
7 11
 
1.9%
8 5
 
0.9%
9 6
 
1.0%
ValueCountFrequency (%)
1550 1
0.2%
1455 1
0.2%
1421 1
0.2%
1138 1
0.2%
1052 1
0.2%
1050 1
0.2%
1033 1
0.2%
1017 1
0.2%
1015 1
0.2%
987 1
0.2%

2차접종자수
Real number (ℝ)

HIGH CORRELATION 

Distinct174
Distinct (%)29.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean57204.682
Minimum49975
Maximum57746
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.3 KiB
2024-03-15T08:33:13.668262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum49975
5-th percentile53914
Q157510
median57686
Q357736
95-th percentile57746
Maximum57746
Range7771
Interquartile range (IQR)226

Descriptive statistics

Standard deviation1312.1775
Coefficient of variation (CV)0.022938288
Kurtosis11.028852
Mean57204.682
Median Absolute Deviation (MAD)60
Skewness-3.2920509
Sum33636353
Variance1721809.7
MonotonicityNot monotonic
2024-03-15T08:33:14.245943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
57746 80
 
13.6%
57741 25
 
4.3%
57711 14
 
2.4%
57742 13
 
2.2%
57680 11
 
1.9%
56959 11
 
1.9%
57736 11
 
1.9%
57718 10
 
1.7%
57745 10
 
1.7%
57714 8
 
1.4%
Other values (164) 395
67.2%
ValueCountFrequency (%)
49975 4
0.7%
51182 1
 
0.2%
51265 1
 
0.2%
51325 1
 
0.2%
51609 1
 
0.2%
51872 1
 
0.2%
52125 2
0.3%
52475 4
0.7%
52949 3
0.5%
53238 4
0.7%
ValueCountFrequency (%)
57746 80
13.6%
57745 10
 
1.7%
57744 6
 
1.0%
57743 1
 
0.2%
57742 13
 
2.2%
57741 25
 
4.3%
57740 1
 
0.2%
57737 3
 
0.5%
57736 11
 
1.9%
57734 7
 
1.2%

2차접종률
Real number (ℝ)

Distinct20
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean86.182483
Minimum72.7
Maximum88
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.3 KiB
2024-03-15T08:33:14.662970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum72.7
5-th percentile82
Q185.9
median85.9
Q388
95-th percentile88
Maximum88
Range15.3
Interquartile range (IQR)2.1

Descriptive statistics

Standard deviation1.9854023
Coefficient of variation (CV)0.02303719
Kurtosis14.565505
Mean86.182483
Median Absolute Deviation (MAD)0
Skewness-2.9185341
Sum50675.3
Variance3.9418221
MonotonicityNot monotonic
2024-03-15T08:33:15.174612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
85.9 353
60.0%
88.0 190
32.3%
82.7 7
 
1.2%
82.0 6
 
1.0%
81.4 5
 
0.9%
72.7 4
 
0.7%
81.6 4
 
0.7%
80.7 4
 
0.7%
82.2 2
 
0.3%
81.1 2
 
0.3%
Other values (10) 11
 
1.9%
ValueCountFrequency (%)
72.7 4
0.7%
79.6 1
 
0.2%
79.7 1
 
0.2%
79.8 1
 
0.2%
80.0 1
 
0.2%
80.2 1
 
0.2%
80.3 2
0.3%
80.7 4
0.7%
81.0 1
 
0.2%
81.1 2
0.3%
ValueCountFrequency (%)
88.0 190
32.3%
85.9 353
60.0%
82.7 7
 
1.2%
82.5 1
 
0.2%
82.4 1
 
0.2%
82.3 1
 
0.2%
82.2 2
 
0.3%
82.0 6
 
1.0%
81.6 4
 
0.7%
81.4 5
 
0.9%

1차접종자수
Real number (ℝ)

HIGH CORRELATION 

Distinct154
Distinct (%)26.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean61050.723
Minimum54478
Maximum85750
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.3 KiB
2024-03-15T08:33:15.758504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum54478
5-th percentile56327
Q158574
median58693
Q358742
95-th percentile85750
Maximum85750
Range31272
Interquartile range (IQR)168

Descriptive statistics

Standard deviation8217.4756
Coefficient of variation (CV)0.13460079
Kurtosis5.153608
Mean61050.723
Median Absolute Deviation (MAD)54
Skewness2.6476229
Sum35897825
Variance67526905
MonotonicityNot monotonic
2024-03-15T08:33:16.209957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
85750 58
 
9.9%
58748 34
 
5.8%
58750 22
 
3.7%
58714 16
 
2.7%
58731 14
 
2.4%
58745 13
 
2.2%
58732 11
 
1.9%
58663 11
 
1.9%
58660 11
 
1.9%
56939 11
 
1.9%
Other values (144) 387
65.8%
ValueCountFrequency (%)
54478 4
0.7%
54714 1
 
0.2%
54784 1
 
0.2%
54826 1
 
0.2%
54971 1
 
0.2%
55117 1
 
0.2%
55196 2
 
0.3%
55449 4
0.7%
55714 3
0.5%
55941 5
0.9%
ValueCountFrequency (%)
85750 58
9.9%
58750 22
 
3.7%
58749 2
 
0.3%
58748 34
5.8%
58747 7
 
1.2%
58746 8
 
1.4%
58745 13
 
2.2%
58742 5
 
0.9%
58740 7
 
1.2%
58739 1
 
0.2%

3차접종자수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct194
Distinct (%)33.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41375.755
Minimum0
Maximum46933
Zeros59
Zeros (%)10.0%
Negative0
Negative (%)0.0%
Memory size5.3 KiB
2024-03-15T08:33:16.777265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q145945
median46809
Q346933
95-th percentile46933
Maximum46933
Range46933
Interquartile range (IQR)988

Descriptive statistics

Standard deviation14020.649
Coefficient of variation (CV)0.33886147
Kurtosis4.7056576
Mean41375.755
Median Absolute Deviation (MAD)124
Skewness-2.5507634
Sum24328944
Variance1.9657861 × 108
MonotonicityNot monotonic
2024-03-15T08:33:17.225163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
46933 191
32.5%
0 59
 
10.0%
39155 11
 
1.9%
46859 6
 
1.0%
46818 5
 
0.9%
44168 5
 
0.9%
46865 5
 
0.9%
46926 5
 
0.9%
46325 4
 
0.7%
46573 4
 
0.7%
Other values (184) 293
49.8%
ValueCountFrequency (%)
0 59
10.0%
31379 4
 
0.7%
34226 2
 
0.3%
34973 1
 
0.2%
35517 3
 
0.5%
36267 1
 
0.2%
36559 1
 
0.2%
36999 1
 
0.2%
37146 1
 
0.2%
37768 1
 
0.2%
ValueCountFrequency (%)
46933 191
32.5%
46932 1
 
0.2%
46930 1
 
0.2%
46928 2
 
0.3%
46926 5
 
0.9%
46925 1
 
0.2%
46924 4
 
0.7%
46923 1
 
0.2%
46922 1
 
0.2%
46921 2
 
0.3%

3차접종률
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct58
Distinct (%)9.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.408673
Minimum0
Maximum68.8
Zeros60
Zeros (%)10.2%
Negative0
Negative (%)0.0%
Memory size5.3 KiB
2024-03-15T08:33:17.591774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q167.2
median68.5
Q368.6
95-th percentile68.6
Maximum68.8
Range68.8
Interquartile range (IQR)1.4

Descriptive statistics

Standard deviation20.652229
Coefficient of variation (CV)0.34187523
Kurtosis4.5638213
Mean60.408673
Median Absolute Deviation (MAD)0.1
Skewness-2.5247505
Sum35520.3
Variance426.51456
MonotonicityNot monotonic
2024-03-15T08:33:17.916349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
68.6 252
42.9%
0.0 60
 
10.2%
68.5 50
 
8.5%
68.1 28
 
4.8%
68.2 27
 
4.6%
68.0 18
 
3.1%
68.4 15
 
2.6%
57.3 11
 
1.9%
68.3 8
 
1.4%
67.8 7
 
1.2%
Other values (48) 112
19.0%
ValueCountFrequency (%)
0.0 60
10.2%
45.9 4
 
0.7%
50.1 2
 
0.3%
51.2 1
 
0.2%
52.0 3
 
0.5%
53.0 1
 
0.2%
53.5 1
 
0.2%
54.1 1
 
0.2%
54.3 1
 
0.2%
55.2 1
 
0.2%
ValueCountFrequency (%)
68.8 3
 
0.5%
68.6 252
42.9%
68.5 50
 
8.5%
68.4 15
 
2.6%
68.3 8
 
1.4%
68.2 27
 
4.6%
68.1 28
 
4.8%
68.0 18
 
3.1%
67.9 7
 
1.2%
67.8 7
 
1.2%

Interactions

2024-03-15T08:32:58.375417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:31:48.917980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:31:54.291159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:31:58.141325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:02.559575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:06.825505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:11.321622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:16.330209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:21.320666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:25.634120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:30.075514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:33.971732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:37.967319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:42.853142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:49.223924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:54.221802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:58.610877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:31:49.247396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:31:54.529376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:31:58.421321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:02.848791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:07.176643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:11.596428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:16.618451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:21.689415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:25.942003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:30.358495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:34.317386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:38.211822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:43.194099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:49.532441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:54.495028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:58.773098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:31:49.587538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:31:54.686742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:31:58.679375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:03.111104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:07.407125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:11.854403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:16.882883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:21.892759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:26.212811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:30.618118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:34.575900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:38.479626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:43.483982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:49.905141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:54.896547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:58.933067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:31:49.914494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:31:54.886791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:31:58.952088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:03.375334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:07.706185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:12.107896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:17.193118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:22.133425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:26.488760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:30.884326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:34.844551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:38.749439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:43.745837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:50.251955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:55.078864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:59.109284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:31:50.262312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:31:55.156630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:31:59.220395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:03.657312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:08.001052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:12.373943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:17.446983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:22.413496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:26.772857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:31.169426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:35.125588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:39.092718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:44.022660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:50.628201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:55.241669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:59.382284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:31:50.690510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:31:55.428029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:31:59.492071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:03.960713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:08.292564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:12.643737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:17.762919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:22.707242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:27.053309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:31.365135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:35.359528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:39.379970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:44.298343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:50.955011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:55.410375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:59.773417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:31:50.999253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:31:55.579489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:31:59.750427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:04.123053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:08.568169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:12.899626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:18.072684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:22.991080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:27.525876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:31.630699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:35.525615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:39.670226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:44.859250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:51.252164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:55.570667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:33:00.072841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:31:51.324051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:31:55.733469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:00.015216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:04.288266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:08.849567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:13.152690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:18.330193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:23.257901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:27.765549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:31.907124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:35.774564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:39.945687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:45.266644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:51.562220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:55.724154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:33:00.356585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:31:51.667916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:31:55.974629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:00.203073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:04.498596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:09.123373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:13.425647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:18.604090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:23.469078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:28.041244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:32.199450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:36.103365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:40.257530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:45.627489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:52.240730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:55.965919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:33:00.559098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:31:52.031289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:31:56.249279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:00.458762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:04.767810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:09.336847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:13.722921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:18.895590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:23.657788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:28.327071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:32.440204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:36.381558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:40.572909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:46.132960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:52.558305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:56.324349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:33:00.766395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:31:52.375069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:31:56.532536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:00.731996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:05.077360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:09.604916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:14.240283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:19.234469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:23.885342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:28.611502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:32.623056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:36.569708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:41.000390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:46.588166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:52.754013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:56.598764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:33:01.054577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:31:52.728831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:31:56.805427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:01.005667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:05.489421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:09.871596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:14.563337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:19.596214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:24.237098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:28.908401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:32.824092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:36.764650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:41.308459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:47.058909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:52.937442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:56.869078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:33:01.334010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:31:53.054148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:31:57.080246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:01.292970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:05.696315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:10.152288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:14.942602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:19.929216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:24.524133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:29.108653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:33.080925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:36.992026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:41.603097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:47.499863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:53.119889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:57.156905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:33:01.615530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:31:53.336744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:31:57.364644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:01.765592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:05.978677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:10.430511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:15.248364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:20.318159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:24.808805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:29.395786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:33.391440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:37.231895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:41.899783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:47.844366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:53.367750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:57.480822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:33:01.783255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:31:53.699775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:31:57.629784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:02.031618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:06.264390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:10.792309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:15.695599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:20.625274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:25.081509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:29.622261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:33.607495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:37.405568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:42.219920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:48.434367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:53.703232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:57.795427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:33:01.985979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:31:53.975204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:31:57.878481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:02.280513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:06.534371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:11.046016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:16.053071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:20.932552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:25.339721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:29.781944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:33.769003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:37.776040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:42.525768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:48.898271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:53.953705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:32:58.070902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T08:33:18.138346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
확진자신규_확진자확진_격리중확진_퇴원확진_사망자가격리_누적자가격리_격리중자가격리_격리해제검사자전일검사자전일검사 음성2차접종자수2차접종률1차접종자수3차접종자수3차접종률
확진자1.0000.7280.3240.9920.9720.5740.3690.0000.9630.7910.5880.5230.6920.7120.7680.768
신규_확진자0.7281.0000.2940.6990.7140.0000.0000.0000.6310.4830.2870.0000.2110.2130.0680.068
확진_격리중0.3240.2941.0000.2340.2230.0000.0000.0000.1730.0000.0000.0000.0000.0000.0000.000
확진_퇴원0.9920.6990.2341.0000.9640.5540.3600.0000.9600.7330.5660.5040.8370.7010.7480.748
확진_사망0.9720.7140.2230.9641.0000.6300.4130.0000.9560.7820.6150.5930.7070.7130.8230.823
자가격리_누적0.5740.0000.0000.5540.6301.0000.7420.0000.8890.6050.6430.9020.8500.7490.8520.857
자가격리_격리중0.3690.0000.0000.3600.4130.7421.0000.0000.6330.6390.6440.6770.5530.5540.5050.491
자가격리_격리해제0.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0330.0000.0000.0000.0000.000
검사자0.9630.6310.1730.9600.9560.8890.6330.0001.0000.8140.6780.8070.8530.8110.9490.951
전일검사자0.7910.4830.0000.7330.7820.6050.6390.0000.8141.0000.8770.5020.5590.4740.6130.611
전일검사 음성0.5880.2870.0000.5660.6150.6430.6440.0330.6780.8771.0000.7100.6380.6770.5640.568
2차접종자수0.5230.0000.0000.5040.5930.9020.6770.0000.8070.5020.7101.0000.9320.9110.8550.838
2차접종률0.6920.2110.0000.8370.7070.8500.5530.0000.8530.5590.6380.9321.0000.6550.6040.600
1차접종자수0.7120.2130.0000.7010.7130.7490.5540.0000.8110.4740.6770.9110.6551.0000.6430.641
3차접종자수0.7680.0680.0000.7480.8230.8520.5050.0000.9490.6130.5640.8550.6040.6431.0000.996
3차접종률0.7680.0680.0000.7480.8230.8570.4910.0000.9510.6110.5680.8380.6000.6410.9961.000
2024-03-15T08:33:18.464055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
확진자신규_확진자확진_격리중확진_퇴원확진_사망자가격리_누적자가격리_격리중자가격리_격리해제검사자전일검사자전일검사 음성2차접종자수2차접종률1차접종자수3차접종자수3차접종률
확진자1.000-0.117-0.2501.0000.9830.995-0.8330.9901.000-0.736-0.6290.999-0.3750.9990.9820.954
신규_확진자-0.1171.0000.902-0.117-0.106-0.1070.111-0.114-0.1170.331-0.045-0.1190.283-0.121-0.077-0.009
확진_격리중-0.2500.9021.000-0.250-0.227-0.2370.234-0.244-0.2500.3950.045-0.2480.259-0.252-0.194-0.126
확진_퇴원1.000-0.117-0.2501.0000.9830.995-0.8330.9901.000-0.736-0.6290.999-0.3750.9990.9820.954
확진_사망0.983-0.106-0.2270.9831.0000.987-0.8510.9820.983-0.734-0.6360.984-0.3760.9830.9910.966
자가격리_누적0.995-0.107-0.2370.9950.9871.000-0.8300.9930.995-0.736-0.6350.992-0.3780.9930.9860.958
자가격리_격리중-0.8330.1110.234-0.833-0.851-0.8301.000-0.841-0.8330.7230.623-0.8350.313-0.832-0.854-0.858
자가격리_격리해제0.990-0.114-0.2440.9900.9820.993-0.8411.0000.990-0.735-0.6270.987-0.3730.9880.9810.953
검사자1.000-0.117-0.2501.0000.9830.995-0.8330.9901.000-0.736-0.6290.999-0.3750.9990.9820.954
전일검사자-0.7360.3310.395-0.736-0.734-0.7360.723-0.735-0.7361.0000.840-0.7330.275-0.736-0.724-0.701
전일검사 음성-0.629-0.0450.045-0.629-0.636-0.6350.623-0.627-0.6290.8401.000-0.6260.275-0.629-0.644-0.664
2차접종자수0.999-0.119-0.2480.9990.9840.992-0.8350.9870.999-0.733-0.6261.000-0.3760.9980.9830.955
2차접종률-0.3750.2830.259-0.375-0.376-0.3780.313-0.373-0.3750.2750.275-0.3761.000-0.375-0.391-0.403
1차접종자수0.999-0.121-0.2520.9990.9830.993-0.8320.9880.999-0.736-0.6290.998-0.3751.0000.9820.954
3차접종자수0.982-0.077-0.1940.9820.9910.986-0.8540.9810.982-0.724-0.6440.983-0.3910.9821.0000.971
3차접종률0.954-0.009-0.1260.9540.9660.958-0.8580.9530.954-0.701-0.6640.955-0.4030.9540.9711.000

Missing values

2024-03-15T08:33:02.488103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T08:33:03.071724image/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

기준일확진자신규_확진자확진_격리중확진_퇴원확진_사망자가격리_누적자가격리_격리중자가격리_격리해제검사자전일검사자전일검사 음성2차접종자수2차접종률1차접종자수3차접종자수3차접종률
02023-06-2439542510348823573290732923728020155774685.9857504693368.6
12023-06-233953771534871357329073292372351035774685.9857504693368.6
22023-06-2239530821348553573290732923721522145774685.9857504693368.6
32023-06-2139522102234847357329073292372051775774685.9857504693368.6
42023-06-2039512222034840357329073292371832755774685.9857504693368.6
52023-06-1939490131234836357329073292371661205774685.9857504693368.6
62023-06-1839477719348223573290732923713917105774685.9857504693368.6
72023-06-17394701221348133573290732923712723115774685.9857504693368.6
82023-06-1639458112434803357329073292371101985774685.9857504693368.6
92023-06-15394471526347903573290732923708733185774685.9857504693368.6
기준일확진자신규_확진자확진_격리중확진_퇴원확진_사망자가격리_누적자가격리_격리중자가격리_격리해제검사자전일검사자전일검사 음성2차접종자수2차접종률1차접종자수3차접종자수3차접종률
5782021-11-10396021374137291383591882272252255212580.35519600.0
5792021-11-09396225370137291513578883353613595187280.25511700.0
5802021-11-08394523370137281823546881942362325160980.05497100.0
5812021-11-0438342435813589623527870442882845132579.85482600.0
5822021-11-0337811935813575603527867432832825126579.75478400.0
5832021-11-0237701935713555423513864614284285118279.65471400.0
5842021-11-0137721935713554413513860291881884997572.75447800.0
5852021-10-3137521535713549363513858412011994997572.75447800.0
5862021-10-2936831035713535423493854062712694997572.75447800.0
5872021-09-3037351535713542313511856402492434997572.75447800.0