#================
# IMPORT PACKAGES
#================
library(tidyverse)
## Warning: package 'tidyverse' was built under R version 4.1.2
## -- Attaching packages --------------------------------------- tidyverse 1.3.1 --
## v ggplot2 3.3.5 v purrr 0.3.4
## v tibble 3.1.2 v dplyr 1.0.7
## v tidyr 1.1.4 v stringr 1.4.0
## v readr 2.0.0 v forcats 0.5.1
## Warning: package 'ggplot2' was built under R version 4.1.2
## Warning: package 'tidyr' was built under R version 4.1.2
## Warning: package 'dplyr' was built under R version 4.1.2
## -- Conflicts ------------------------------------------ tidyverse_conflicts() --
## x dplyr::filter() masks stats::filter()
## x dplyr::lag() masks stats::lag()
library(lubridate)
## Warning: package 'lubridate' was built under R version 4.1.2
##
## Attaching package: 'lubridate'
## The following objects are masked from 'package:base':
##
## date, intersect, setdiff, union
#================
# IMPORT PACKAGES
#================
library(tidyverse)
library(lubridate)
#=============
# GET RAW DATA
#=============
url_confirmed <- 'https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_confirmed_global.csv'
covid_data_RAW <- read_csv(url_confirmed)
## Rows: 280 Columns: 709
## -- Column specification --------------------------------------------------------
## Delimiter: ","
## chr (2): Province/State, Country/Region
## dbl (707): Lat, Long, 1/22/20, 1/23/20, 1/24/20, 1/25/20, 1/26/20, 1/27/20, ...
##
## i Use `spec()` to retrieve the full column specification for this data.
## i Specify the column types or set `show_col_types = FALSE` to quiet this message.
glimpse(covid_data_RAW)
## Rows: 280
## Columns: 709
## $ `Province/State` <chr> NA, NA, NA, NA, NA, NA, NA, NA, "Australian Capital T~
## $ `Country/Region` <chr> "Afghanistan", "Albania", "Algeria", "Andorra", "Ango~
## $ Lat <dbl> 33.93911, 41.15330, 28.03390, 42.50630, -11.20270, 17~
## $ Long <dbl> 67.709953, 20.168300, 1.659600, 1.521800, 17.873900, ~
## $ `1/22/20` <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,~
## $ `1/23/20` <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,~
## $ `1/24/20` <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,~
## $ `1/25/20` <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,~
## $ `1/26/20` <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 1, 0, 0, 0,~
## $ `1/27/20` <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 1, 0, 0, 0,~
## $ `1/28/20` <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 1, 0, 0, 0,~
## $ `1/29/20` <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 1, 0, 0, 1, 0, 0, 0,~
## $ `1/30/20` <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 3, 0, 0, 2, 0, 0, 0,~
## $ `1/31/20` <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 2, 0, 0, 3, 0, 0, 0,~
## $ `2/1/20` <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 3, 1, 0, 4, 0, 0, 0,~
## $ `2/2/20` <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 2, 2, 0, 4, 0, 0, 0,~
## $ `2/3/20` <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 2, 2, 0, 4, 0, 0, 0,~
## $ `2/4/20` <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 3, 2, 0, 4, 0, 0, 0,~
## $ `2/5/20` <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 3, 2, 0, 4, 0, 0, 0,~
## $ `2/6/20` <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 4, 2, 0, 4, 0, 0, 0,~
## $ `2/7/20` <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 5, 2, 0, 4, 0, 0, 0,~
## $ `2/8/20` <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 5, 2, 0, 4, 0, 0, 0,~
## $ `2/9/20` <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 5, 2, 0, 4, 0, 0, 0,~
## $ `2/10/20` <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 5, 2, 0, 4, 0, 0, 0,~
## $ `2/11/20` <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 5, 2, 0, 4, 0, 0, 0,~
## $ `2/12/20` <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 5, 2, 0, 4, 0, 0, 0,~
## $ `2/13/20` <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 5, 2, 0, 4, 0, 0, 0,~
## $ `2/14/20` <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 5, 2, 0, 4, 0, 0, 0,~
## $ `2/15/20` <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 5, 2, 0, 4, 0, 0, 0,~
## $ `2/16/20` <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 5, 2, 0, 4, 0, 0, 0,~
## $ `2/17/20` <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 5, 2, 0, 4, 0, 0, 0,~
## $ `2/18/20` <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 5, 2, 0, 4, 0, 0, 0,~
## $ `2/19/20` <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 5, 2, 0, 4, 0, 0, 0,~
## $ `2/20/20` <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 5, 2, 0, 4, 0, 0, 0,~
## $ `2/21/20` <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 5, 2, 0, 4, 0, 0, 0,~
## $ `2/22/20` <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 5, 2, 0, 4, 0, 0, 0,~
## $ `2/23/20` <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 5, 2, 0, 4, 0, 0, 0,~
## $ `2/24/20` <dbl> 5, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 5, 2, 0, 4, 0, 0, 0,~
## $ `2/25/20` <dbl> 5, 0, 1, 0, 0, 0, 0, 0, 0, 4, 0, 5, 2, 0, 4, 0, 2, 0,~
## $ `2/26/20` <dbl> 5, 0, 1, 0, 0, 0, 0, 0, 0, 4, 0, 5, 2, 0, 4, 0, 2, 0,~
## $ `2/27/20` <dbl> 5, 0, 1, 0, 0, 0, 0, 0, 0, 4, 0, 5, 2, 0, 4, 0, 3, 0,~
## $ `2/28/20` <dbl> 5, 0, 1, 0, 0, 0, 0, 0, 0, 4, 0, 5, 2, 0, 4, 0, 3, 0,~
## $ `2/29/20` <dbl> 5, 0, 1, 0, 0, 0, 0, 0, 0, 4, 0, 9, 3, 0, 7, 2, 9, 0,~
## $ `3/1/20` <dbl> 5, 0, 1, 0, 0, 0, 0, 1, 0, 6, 0, 9, 3, 0, 7, 2, 14, 3~
## $ `3/2/20` <dbl> 5, 0, 3, 1, 0, 0, 0, 1, 0, 6, 0, 9, 3, 1, 9, 2, 18, 3~
## $ `3/3/20` <dbl> 5, 0, 5, 1, 0, 0, 1, 1, 0, 13, 0, 11, 3, 1, 9, 2, 21,~
## $ `3/4/20` <dbl> 5, 0, 12, 1, 0, 0, 1, 1, 0, 22, 1, 11, 5, 1, 10, 2, 2~
## $ `3/5/20` <dbl> 5, 0, 12, 1, 0, 0, 1, 1, 0, 22, 1, 13, 5, 1, 10, 3, 4~
## $ `3/6/20` <dbl> 5, 0, 17, 1, 0, 0, 2, 1, 0, 26, 0, 13, 7, 1, 10, 3, 5~
## $ `3/7/20` <dbl> 8, 0, 17, 1, 0, 0, 8, 1, 0, 28, 0, 13, 7, 1, 11, 3, 7~
## $ `3/8/20` <dbl> 8, 0, 19, 1, 0, 0, 12, 1, 0, 38, 0, 15, 7, 2, 11, 3, ~
## $ `3/9/20` <dbl> 8, 2, 20, 1, 0, 0, 12, 1, 0, 48, 0, 15, 7, 2, 15, 4, ~
## $ `3/10/20` <dbl> 8, 10, 20, 1, 0, 0, 17, 1, 0, 55, 1, 18, 7, 2, 18, 6,~
## $ `3/11/20` <dbl> 11, 12, 20, 1, 0, 0, 19, 1, 0, 65, 1, 20, 9, 3, 21, 9~
## $ `3/12/20` <dbl> 11, 23, 24, 1, 0, 0, 19, 4, 0, 65, 1, 20, 9, 3, 21, 9~
## $ `3/13/20` <dbl> 11, 33, 26, 1, 0, 1, 31, 8, 1, 92, 1, 35, 16, 5, 36, ~
## $ `3/14/20` <dbl> 14, 38, 37, 1, 0, 1, 34, 18, 1, 112, 1, 46, 19, 5, 49~
## $ `3/15/20` <dbl> 20, 42, 48, 1, 0, 1, 45, 26, 1, 134, 1, 61, 20, 6, 57~
## $ `3/16/20` <dbl> 25, 51, 54, 2, 0, 1, 56, 52, 2, 171, 1, 68, 29, 7, 71~
## $ `3/17/20` <dbl> 26, 55, 60, 39, 0, 1, 68, 78, 2, 210, 1, 78, 29, 7, 9~
## $ `3/18/20` <dbl> 26, 59, 74, 39, 0, 1, 79, 84, 3, 267, 1, 94, 37, 10, ~
## $ `3/19/20` <dbl> 26, 64, 87, 53, 0, 1, 97, 115, 4, 307, 1, 144, 42, 10~
## $ `3/20/20` <dbl> 24, 70, 90, 75, 1, 1, 128, 136, 6, 353, 3, 184, 50, 1~
## $ `3/21/20` <dbl> 24, 76, 139, 88, 2, 1, 158, 160, 9, 436, 3, 221, 67, ~
## $ `3/22/20` <dbl> 34, 89, 201, 113, 2, 1, 266, 194, 19, 669, 5, 259, 10~
## $ `3/23/20` <dbl> 40, 104, 230, 133, 3, 3, 301, 235, 32, 669, 5, 319, 1~
## $ `3/24/20` <dbl> 42, 123, 264, 164, 3, 3, 387, 249, 39, 818, 6, 397, 1~
## $ `3/25/20` <dbl> 74, 146, 302, 188, 3, 3, 387, 265, 39, 1029, 6, 443, ~
## $ `3/26/20` <dbl> 80, 174, 367, 224, 4, 7, 502, 290, 53, 1219, 12, 493,~
## $ `3/27/20` <dbl> 91, 186, 409, 267, 4, 7, 589, 329, 62, 1405, 12, 555,~
## $ `3/28/20` <dbl> 106, 197, 454, 308, 5, 7, 690, 407, 71, 1617, 15, 625~
## $ `3/29/20` <dbl> 114, 212, 511, 334, 7, 7, 745, 424, 77, 1791, 15, 656~
## $ `3/30/20` <dbl> 114, 223, 584, 370, 7, 7, 820, 482, 78, 2032, 15, 689~
## $ `3/31/20` <dbl> 166, 243, 716, 376, 7, 7, 1054, 532, 80, 2032, 17, 74~
## $ `4/1/20` <dbl> 192, 259, 847, 390, 8, 7, 1054, 571, 84, 2182, 19, 78~
## $ `4/2/20` <dbl> 235, 277, 986, 428, 8, 9, 1133, 663, 87, 2298, 21, 83~
## $ `4/3/20` <dbl> 269, 304, 1171, 439, 8, 15, 1265, 736, 91, 2389, 22, ~
## $ `4/4/20` <dbl> 270, 333, 1251, 466, 10, 15, 1451, 770, 93, 2493, 26,~
## $ `4/5/20` <dbl> 299, 361, 1320, 501, 14, 15, 1451, 822, 96, 2580, 27,~
## $ `4/6/20` <dbl> 337, 377, 1423, 525, 16, 15, 1554, 833, 96, 2637, 28,~
## $ `4/7/20` <dbl> 367, 383, 1468, 545, 17, 19, 1628, 853, 96, 2686, 28,~
## $ `4/8/20` <dbl> 423, 400, 1572, 564, 19, 19, 1715, 881, 99, 2734, 28,~
## $ `4/9/20` <dbl> 444, 409, 1666, 583, 19, 19, 1795, 921, 100, 2773, 28~
## $ `4/10/20` <dbl> 521, 416, 1761, 601, 19, 19, 1975, 937, 103, 2822, 28~
## $ `4/11/20` <dbl> 521, 433, 1825, 601, 19, 21, 1975, 967, 103, 2857, 28~
## $ `4/12/20` <dbl> 555, 446, 1914, 638, 19, 21, 2142, 1013, 103, 2857, 2~
## $ `4/13/20` <dbl> 607, 467, 1983, 646, 19, 23, 2208, 1039, 102, 2863, 2~
## $ `4/14/20` <dbl> 665, 475, 2070, 659, 19, 23, 2277, 1067, 103, 2870, 2~
## $ `4/15/20` <dbl> 770, 494, 2160, 673, 19, 23, 2443, 1111, 103, 2886, 2~
## $ `4/16/20` <dbl> 794, 518, 2268, 673, 19, 23, 2571, 1159, 103, 2897, 2~
## $ `4/17/20` <dbl> 845, 539, 2418, 696, 19, 23, 2669, 1201, 103, 2926, 2~
## $ `4/18/20` <dbl> 908, 548, 2534, 704, 24, 23, 2758, 1248, 103, 2936, 2~
## $ `4/19/20` <dbl> 933, 562, 2629, 713, 24, 23, 2839, 1291, 103, 2957, 2~
## $ `4/20/20` <dbl> 996, 584, 2718, 717, 24, 23, 2941, 1339, 104, 2963, 2~
## $ `4/21/20` <dbl> 1026, 609, 2811, 717, 24, 23, 3031, 1401, 104, 2969, ~
## $ `4/22/20` <dbl> 1092, 634, 2910, 723, 25, 24, 3144, 1473, 104, 2971, ~
## $ `4/23/20` <dbl> 1176, 663, 3007, 723, 25, 24, 3435, 1523, 104, 2976, ~
## $ `4/24/20` <dbl> 1226, 678, 3127, 731, 25, 24, 3607, 1596, 105, 2982, ~
## $ `4/25/20` <dbl> 1330, 712, 3256, 738, 25, 24, 3780, 1677, 106, 2994, ~
## $ `4/26/20` <dbl> 1463, 726, 3382, 738, 26, 24, 3892, 1746, 106, 3002, ~
## $ `4/27/20` <dbl> 1531, 736, 3517, 743, 27, 24, 4003, 1808, 106, 3004, ~
## $ `4/28/20` <dbl> 1703, 750, 3649, 743, 27, 24, 4127, 1867, 106, 3016, ~
## $ `4/29/20` <dbl> 1827, 766, 3848, 743, 27, 24, 4285, 1932, 106, 3016, ~
## $ `4/30/20` <dbl> 1827, 773, 4006, 745, 27, 24, 4428, 2066, 106, 3025, ~
## $ `5/1/20` <dbl> 2171, 782, 4154, 745, 30, 25, 4532, 2148, 106, 3030, ~
## $ `5/2/20` <dbl> 2469, 789, 4295, 747, 35, 25, 4681, 2273, 106, 3035, ~
## $ `5/3/20` <dbl> 2469, 795, 4474, 748, 35, 25, 4783, 2386, 106, 3033, ~
## $ `5/4/20` <dbl> 2469, 803, 4648, 750, 35, 25, 4887, 2507, 107, 3035, ~
## $ `5/5/20` <dbl> 2469, 820, 4838, 751, 36, 25, 5020, 2619, 107, 3042, ~
## $ `5/6/20` <dbl> 3224, 832, 4997, 751, 36, 25, 5208, 2782, 107, 3044, ~
## $ `5/7/20` <dbl> 3392, 842, 5182, 752, 36, 25, 5371, 2884, 107, 3047, ~
## $ `5/8/20` <dbl> 3563, 850, 5369, 752, 43, 25, 5611, 3029, 107, 3051, ~
## $ `5/9/20` <dbl> 3563, 856, 5558, 754, 43, 25, 5776, 3175, 107, 3053, ~
## $ `5/10/20` <dbl> 4402, 868, 5723, 755, 45, 25, 6034, 3313, 107, 3053, ~
## $ `5/11/20` <dbl> 4664, 872, 5891, 755, 45, 25, 6278, 3392, 107, 3053, ~
## $ `5/12/20` <dbl> 4967, 876, 6067, 758, 45, 25, 6563, 3538, 107, 3059, ~
## $ `5/13/20` <dbl> 4967, 880, 6253, 760, 45, 25, 6879, 3718, 107, 3063, ~
## $ `5/14/20` <dbl> 5339, 898, 6442, 761, 48, 25, 7134, 3860, 107, 3071, ~
## $ `5/15/20` <dbl> 6053, 916, 6629, 761, 48, 25, 7479, 4044, 107, 3074, ~
## $ `5/16/20` <dbl> 6402, 933, 6821, 761, 48, 25, 7805, 4283, 107, 3075, ~
## $ `5/17/20` <dbl> 6635, 946, 7019, 761, 48, 25, 8068, 4472, 107, 3076, ~
## $ `5/18/20` <dbl> 7072, 948, 7201, 761, 50, 25, 8371, 4823, 107, 3078, ~
## $ `5/19/20` <dbl> 7655, 949, 7377, 761, 52, 25, 8809, 5041, 107, 3081, ~
## $ `5/20/20` <dbl> 8145, 964, 7542, 762, 52, 25, 9283, 5271, 107, 3082, ~
## $ `5/21/20` <dbl> 8676, 969, 7728, 762, 58, 25, 9931, 5606, 107, 3084, ~
## $ `5/22/20` <dbl> 9216, 981, 7918, 762, 60, 25, 10649, 5928, 107, 3086,~
## $ `5/23/20` <dbl> 9952, 989, 8113, 762, 61, 25, 11353, 6302, 107, 3087,~
## $ `5/24/20` <dbl> 10668, 998, 8306, 762, 69, 25, 12076, 6661, 107, 3090~
## $ `5/25/20` <dbl> 11180, 1004, 8503, 763, 70, 25, 12628, 7113, 107, 309~
## $ `5/26/20` <dbl> 11917, 1029, 8697, 763, 70, 25, 13228, 7402, 107, 308~
## $ `5/27/20` <dbl> 12465, 1050, 8857, 763, 71, 25, 13933, 7774, 107, 309~
## $ `5/28/20` <dbl> 13102, 1076, 8997, 763, 74, 25, 14702, 8216, 107, 309~
## $ `5/29/20` <dbl> 13745, 1099, 9134, 764, 81, 25, 15419, 8676, 107, 309~
## $ `5/30/20` <dbl> 14529, 1122, 9267, 764, 84, 25, 16214, 8927, 107, 309~
## $ `5/31/20` <dbl> 15180, 1137, 9394, 764, 86, 26, 16851, 9282, 107, 309~
## $ `6/1/20` <dbl> 15836, 1143, 9513, 765, 86, 26, 17415, 9492, 107, 310~
## $ `6/2/20` <dbl> 16578, 1164, 9626, 844, 86, 26, 18319, 10009, 107, 31~
## $ `6/3/20` <dbl> 17353, 1184, 9733, 851, 86, 26, 19268, 10524, 107, 31~
## $ `6/4/20` <dbl> 17977, 1197, 9831, 852, 86, 26, 20197, 11221, 107, 31~
## $ `6/5/20` <dbl> 19055, 1212, 9935, 852, 86, 26, 21037, 11817, 107, 31~
## $ `6/6/20` <dbl> 19637, 1232, 10050, 852, 88, 26, 22020, 12364, 108, 3~
## $ `6/7/20` <dbl> 20428, 1246, 10154, 852, 91, 26, 22794, 13130, 108, 3~
## $ `6/8/20` <dbl> 21003, 1263, 10265, 852, 92, 26, 23620, 13325, 108, 3~
## $ `6/9/20` <dbl> 21308, 1299, 10382, 852, 96, 26, 24761, 13675, 108, 3~
## $ `6/10/20` <dbl> 22228, 1341, 10484, 852, 113, 26, 25987, 14103, 108, ~
## $ `6/11/20` <dbl> 22976, 1385, 10589, 852, 118, 26, 27373, 14669, 108, ~
## $ `6/12/20` <dbl> 23632, 1416, 10698, 853, 130, 26, 28764, 15281, 108, ~
## $ `6/13/20` <dbl> 24188, 1464, 10810, 853, 138, 26, 30295, 16004, 108, ~
## $ `6/14/20` <dbl> 24852, 1521, 10919, 853, 140, 26, 31577, 16667, 108, ~
## $ `6/15/20` <dbl> 25613, 1590, 11031, 853, 142, 26, 32785, 17064, 108, ~
## $ `6/16/20` <dbl> 25719, 1672, 11147, 854, 148, 26, 34159, 17489, 108, ~
## $ `6/17/20` <dbl> 26960, 1722, 11268, 854, 155, 26, 35552, 18033, 108, ~
## $ `6/18/20` <dbl> 27423, 1788, 11385, 855, 166, 26, 37510, 18698, 108, ~
## $ `6/19/20` <dbl> 27964, 1838, 11504, 855, 172, 26, 39570, 19157, 108, ~
## $ `6/20/20` <dbl> 28383, 1891, 11631, 855, 176, 26, 41204, 19708, 108, ~
## $ `6/21/20` <dbl> 28919, 1962, 11771, 855, 183, 26, 42785, 20268, 108, ~
## $ `6/22/20` <dbl> 29229, 1995, 11920, 855, 186, 26, 44931, 20588, 108, ~
## $ `6/23/20` <dbl> 29567, 2047, 12076, 855, 189, 26, 47203, 21006, 108, ~
## $ `6/24/20` <dbl> 29726, 2114, 12248, 855, 197, 26, 49851, 21717, 108, ~
## $ `6/25/20` <dbl> 30261, 2192, 12445, 855, 212, 65, 52457, 22488, 108, ~
## $ `6/26/20` <dbl> 30346, 2269, 12685, 855, 212, 65, 55343, 23247, 108, ~
## $ `6/27/20` <dbl> 30702, 2330, 12968, 855, 259, 65, 57744, 23909, 108, ~
## $ `6/28/20` <dbl> 31053, 2402, 13273, 855, 267, 69, 59933, 24645, 108, ~
## $ `6/29/20` <dbl> 31324, 2466, 13571, 855, 276, 69, 62268, 25127, 108, ~
## $ `6/30/20` <dbl> 31445, 2535, 13907, 855, 284, 69, 64530, 25542, 108, ~
## $ `7/1/20` <dbl> 31848, 2580, 14272, 855, 291, 69, 67197, 26065, 108, ~
## $ `7/2/20` <dbl> 32108, 2662, 14657, 855, 315, 69, 69941, 26658, 108, ~
## $ `7/3/20` <dbl> 32410, 2752, 15070, 855, 328, 68, 72786, 27320, 108, ~
## $ `7/4/20` <dbl> 32758, 2819, 15500, 855, 346, 68, 75376, 27900, 108, ~
## $ `7/5/20` <dbl> 33037, 2893, 15941, 855, 346, 68, 77815, 28606, 108, ~
## $ `7/6/20` <dbl> 33150, 2964, 16404, 855, 346, 70, 80447, 28936, 108, ~
## $ `7/7/20` <dbl> 33470, 3038, 16879, 855, 386, 70, 83426, 29285, 111, ~
## $ `7/8/20` <dbl> 33680, 3106, 17348, 855, 386, 70, 87030, 29820, 112, ~
## $ `7/9/20` <dbl> 33739, 3188, 17808, 855, 396, 73, 90693, 30346, 113, ~
## $ `7/10/20` <dbl> 34280, 3278, 18242, 855, 458, 74, 94060, 30903, 113, ~
## $ `7/11/20` <dbl> 34437, 3371, 18712, 855, 462, 74, 97509, 31392, 113, ~
## $ `7/12/20` <dbl> 34537, 3454, 19195, 855, 506, 74, 100166, 31969, 113,~
## $ `7/13/20` <dbl> 34541, 3571, 19689, 858, 525, 74, 103265, 32151, 113,~
## $ `7/14/20` <dbl> 34826, 3667, 20216, 861, 541, 74, 106910, 32490, 113,~
## $ `7/15/20` <dbl> 35026, 3752, 20770, 862, 576, 74, 111146, 33005, 113,~
## $ `7/16/20` <dbl> 35156, 3851, 21355, 877, 607, 74, 114783, 33559, 113,~
## $ `7/17/20` <dbl> 35315, 3906, 21948, 880, 638, 76, 119301, 34001, 113,~
## $ `7/18/20` <dbl> 35375, 4008, 22549, 880, 687, 76, 122524, 34462, 113,~
## $ `7/19/20` <dbl> 35561, 4090, 23084, 880, 705, 76, 126755, 34877, 113,~
## $ `7/20/20` <dbl> 35595, 4171, 23691, 884, 749, 76, 130774, 34981, 113,~
## $ `7/21/20` <dbl> 35701, 4290, 24278, 884, 779, 76, 136118, 35254, 113,~
## $ `7/22/20` <dbl> 35813, 4358, 24872, 889, 812, 76, 141900, 35693, 113,~
## $ `7/23/20` <dbl> 36001, 4466, 25484, 889, 851, 76, 148027, 36162, 113,~
## $ `7/24/20` <dbl> 36067, 4570, 26159, 897, 880, 82, 153520, 36613, 113,~
## $ `7/25/20` <dbl> 36122, 4637, 26764, 897, 916, 82, 158334, 36996, 113,~
## $ `7/26/20` <dbl> 36243, 4763, 27357, 897, 932, 82, 162526, 37317, 113,~
## $ `7/27/20` <dbl> 36349, 4880, 27973, 907, 950, 86, 167416, 37390, 113,~
## $ `7/28/20` <dbl> 36454, 4997, 28615, 907, 1000, 86, 173355, 37629, 113~
## $ `7/29/20` <dbl> 36557, 5105, 29229, 918, 1078, 91, 178996, 37937, 113~
## $ `7/30/20` <dbl> 36628, 5197, 29831, 922, 1109, 91, 185373, 38196, 113~
## $ `7/31/20` <dbl> 36628, 5276, 30394, 925, 1148, 91, 191302, 38550, 113~
## $ `8/1/20` <dbl> 36796, 5396, 30950, 925, 1164, 91, 196543, 38841, 113~
## $ `8/2/20` <dbl> 36796, 5519, 31465, 925, 1199, 91, 201919, 39050, 113~
## $ `8/3/20` <dbl> 36796, 5620, 31972, 937, 1280, 92, 206743, 39102, 113~
## $ `8/4/20` <dbl> 36833, 5750, 32504, 939, 1344, 92, 213535, 39298, 113~
## $ `8/5/20` <dbl> 36915, 5889, 33055, 939, 1395, 92, 220682, 39586, 113~
## $ `8/6/20` <dbl> 36982, 6016, 33626, 944, 1483, 92, 228195, 39819, 113~
## $ `8/7/20` <dbl> 37023, 6151, 34155, 955, 1538, 92, 235677, 39985, 113~
## $ `8/8/20` <dbl> 37101, 6275, 34693, 955, 1572, 92, 241811, 40185, 113~
## $ `8/9/20` <dbl> 37140, 6411, 35160, 955, 1672, 92, 246499, 40410, 113~
## $ `8/10/20` <dbl> 37140, 6536, 35712, 963, 1679, 92, 253868, 40433, 113~
## $ `8/11/20` <dbl> 37355, 6676, 36204, 963, 1735, 92, 260911, 40593, 113~
## $ `8/12/20` <dbl> 37431, 6817, 36699, 977, 1762, 92, 268574, 40794, 113~
## $ `8/13/20` <dbl> 37510, 6971, 37187, 981, 1815, 92, 276072, 41023, 113~
## $ `8/14/20` <dbl> 37517, 7117, 37664, 989, 1852, 93, 282437, 41299, 113~
## $ `8/15/20` <dbl> 37637, 7260, 38133, 989, 1879, 93, 289100, 41495, 113~
## $ `8/16/20` <dbl> 37682, 7380, 38583, 989, 1906, 93, 294569, 41663, 113~
## $ `8/17/20` <dbl> 37682, 7499, 39025, 1005, 1935, 93, 299126, 41701, 11~
## $ `8/18/20` <dbl> 37685, 7654, 39444, 1005, 1966, 93, 305966, 41846, 11~
## $ `8/19/20` <dbl> 37685, 7812, 39847, 1024, 2015, 94, 312659, 42056, 11~
## $ `8/20/20` <dbl> 37845, 7967, 40258, 1024, 2044, 94, 320884, 42319, 11~
## $ `8/21/20` <dbl> 37942, 8119, 40667, 1045, 2068, 94, 329043, 42477, 11~
## $ `8/22/20` <dbl> 37980, 8275, 41068, 1045, 2134, 94, 336802, 42616, 11~
## $ `8/23/20` <dbl> 38039, 8427, 41460, 1045, 2171, 94, 342154, 42792, 11~
## $ `8/24/20` <dbl> 38085, 8605, 41858, 1060, 2222, 94, 350867, 42825, 11~
## $ `8/25/20` <dbl> 38156, 8759, 42228, 1060, 2283, 94, 359638, 42936, 11~
## $ `8/26/20` <dbl> 38199, 8927, 42619, 1098, 2332, 94, 370188, 43067, 11~
## $ `8/27/20` <dbl> 38215, 9083, 43016, 1098, 2415, 94, 380292, 43270, 11~
## $ `8/28/20` <dbl> 38226, 9195, 43403, 1124, 2471, 94, 392009, 43451, 11~
## $ `8/29/20` <dbl> 38229, 9279, 43781, 1124, 2551, 94, 401239, 43626, 11~
## $ `8/30/20` <dbl> 38229, 9380, 44146, 1124, 2624, 94, 408426, 43750, 11~
## $ `8/31/20` <dbl> 38248, 9513, 44494, 1176, 2654, 94, 417735, 43781, 11~
## $ `9/1/20` <dbl> 38282, 9606, 44833, 1184, 2729, 94, 428239, 43878, 11~
## $ `9/2/20` <dbl> 38329, 9728, 45158, 1199, 2777, 94, 439172, 44075, 11~
## $ `9/3/20` <dbl> 38374, 9844, 45469, 1199, 2805, 95, 451198, 44271, 11~
## $ `9/4/20` <dbl> 38374, 9967, 45773, 1215, 2876, 95, 461882, 44461, 11~
## $ `9/5/20` <dbl> 38390, 10102, 46071, 1215, 2935, 95, 471806, 44649, 1~
## $ `9/6/20` <dbl> 38484, 10255, 46364, 1215, 2965, 95, 478792, 44783, 1~
## $ `9/7/20` <dbl> 38580, 10406, 46653, 1261, 2981, 95, 488007, 44845, 1~
## $ `9/8/20` <dbl> 38606, 10553, 46938, 1261, 3033, 95, 500034, 44953, 1~
## $ `9/9/20` <dbl> 38630, 10704, 47216, 1301, 3092, 95, 512293, 45152, 1~
## $ `9/10/20` <dbl> 38658, 10860, 47488, 1301, 3217, 95, 524198, 45326, 1~
## $ `9/11/20` <dbl> 38692, 11021, 47752, 1344, 3279, 95, 535705, 45503, 1~
## $ `9/12/20` <dbl> 38727, 11185, 48007, 1344, 3335, 95, 546481, 45675, 1~
## $ `9/13/20` <dbl> 38802, 11353, 48254, 1344, 3388, 95, 555537, 45862, 1~
## $ `9/14/20` <dbl> 38858, 11520, 48496, 1438, 3439, 95, 565446, 45969, 1~
## $ `9/15/20` <dbl> 38901, 11672, 48734, 1438, 3569, 95, 577338, 46119, 1~
## $ `9/16/20` <dbl> 38941, 11816, 48966, 1483, 3675, 95, 589012, 46376, 1~
## $ `9/17/20` <dbl> 38958, 11948, 49194, 1483, 3789, 95, 601713, 46671, 1~
## $ `9/18/20` <dbl> 38969, 12073, 49413, 1564, 3848, 95, 613658, 46910, 1~
## $ `9/19/20` <dbl> 39005, 12226, 49623, 1564, 3901, 96, 622934, 47154, 1~
## $ `9/20/20` <dbl> 39130, 12385, 49826, 1564, 3991, 96, 631365, 47431, 1~
## $ `9/21/20` <dbl> 39160, 12535, 50023, 1681, 4117, 96, 640147, 47552, 1~
## $ `9/22/20` <dbl> 39182, 12666, 50214, 1681, 4236, 96, 652174, 47667, 1~
## $ `9/23/20` <dbl> 39231, 12787, 50400, 1753, 4363, 97, 664799, 47877, 1~
## $ `9/24/20` <dbl> 39256, 12921, 50579, 1753, 4475, 97, 678266, 48251, 1~
## $ `9/25/20` <dbl> 39272, 13045, 50754, 1836, 4590, 98, 691235, 48643, 1~
## $ `9/26/20` <dbl> 39278, 13153, 50914, 1836, 4672, 98, 702484, 49072, 1~
## $ `9/27/20` <dbl> 39313, 13259, 51067, 1836, 4718, 101, 711325, 49400, ~
## $ `9/28/20` <dbl> 39325, 13391, 51213, 1966, 4797, 101, 723132, 49574, ~
## $ `9/29/20` <dbl> 39340, 13518, 51368, 1966, 4905, 101, 736609, 49901, ~
## $ `9/30/20` <dbl> 39354, 13649, 51530, 2050, 4972, 101, 751001, 50359, ~
## $ `10/1/20` <dbl> 39371, 13806, 51690, 2050, 5114, 101, 765002, 50850, ~
## $ `10/2/20` <dbl> 39376, 13965, 51847, 2110, 5211, 106, 779689, 51382, ~
## $ `10/3/20` <dbl> 39383, 14117, 51995, 2110, 5370, 107, 790818, 51925, ~
## $ `10/4/20` <dbl> 39427, 14266, 52136, 2110, 5402, 107, 798486, 52496, ~
## $ `10/5/20` <dbl> 39508, 14410, 52270, 2370, 5530, 107, 809728, 52677, ~
## $ `10/6/20` <dbl> 39572, 14568, 52399, 2370, 5725, 107, 824468, 53083, ~
## $ `10/7/20` <dbl> 39634, 14730, 52520, 2568, 5725, 108, 840915, 53755, ~
## $ `10/8/20` <dbl> 39702, 14899, 52658, 2568, 5958, 111, 856369, 54473, ~
## $ `10/9/20` <dbl> 39779, 15066, 52804, 2696, 6031, 111, 871468, 55087, ~
## $ `10/10/20` <dbl> 39789, 15231, 52940, 2696, 6246, 111, 883882, 55736, ~
## $ `10/11/20` <dbl> 39885, 15399, 53072, 2696, 6366, 111, 894206, 56451, ~
## $ `10/12/20` <dbl> 39956, 15570, 53325, 2995, 6488, 111, 903730, 56821, ~
## $ `10/13/20` <dbl> 40014, 15752, 53399, 2995, 6680, 111, 917035, 57566, ~
## $ `10/14/20` <dbl> 40080, 15955, 53584, 3190, 6846, 112, 931967, 58624, ~
## $ `10/15/20` <dbl> 40112, 16212, 53777, 3190, 7096, 112, 949063, 59995, ~
## $ `10/16/20` <dbl> 40159, 16501, 53998, 3377, 7222, 112, 965609, 61460, ~
## $ `10/17/20` <dbl> 40227, 16774, 54203, 3377, 7462, 119, 979119, 63000, ~
## $ `10/18/20` <dbl> 40286, 17055, 54402, 3377, 7622, 119, 989680, 64694, ~
## $ `10/19/20` <dbl> 40373, 17350, 54616, 3623, 7829, 119, 1002662, 65460,~
## $ `10/20/20` <dbl> 40461, 17651, 54829, 3623, 8049, 119, 1018999, 66694,~
## $ `10/21/20` <dbl> 40461, 17948, 55081, 3811, 8338, 122, 1037325, 68530,~
## $ `10/22/20` <dbl> 40510, 18250, 55357, 3811, 8582, 122, 1053650, 70836,~
## $ `10/23/20` <dbl> 40626, 18556, 55630, 4038, 8829, 122, 1069368, 73310,~
## $ `10/24/20` <dbl> 40687, 18858, 55880, 4038, 9026, 124, 1081336, 75523,~
## $ `10/25/20` <dbl> 40768, 19157, 56143, 4038, 9381, 124, 1090589, 77837,~
## $ `10/26/20` <dbl> 40833, 19445, 56419, 4325, 9644, 124, 1102301, 78810,~
## $ `10/27/20` <dbl> 40937, 19729, 56706, 4410, 9871, 124, 1116609, 80410,~
## $ `10/28/20` <dbl> 41032, 20040, 57026, 4517, 10074, 124, 1130533, 82651~
## $ `10/29/20` <dbl> 41145, 20315, 57332, 4567, 10269, 124, 1143800, 85034~
## $ `10/30/20` <dbl> 41268, 20634, 57651, 4665, 10558, 127, 1157179, 87432~
## $ `10/31/20` <dbl> 41334, 20875, 57942, 4756, 10805, 128, 1166924, 89813~
## $ `11/1/20` <dbl> 41425, 21202, 58272, 4825, 11035, 128, 1173533, 92254~
## $ `11/2/20` <dbl> 41501, 21523, 58574, 4888, 11228, 128, 1183131, 93448~
## $ `11/3/20` <dbl> 41633, 21904, 58979, 4910, 11577, 128, 1195276, 94776~
## $ `11/4/20` <dbl> 41728, 22300, 59527, 5045, 11813, 130, 1205928, 97150~
## $ `11/5/20` <dbl> 41814, 22721, 60169, 5135, 12102, 130, 1217028, 99563~
## $ `11/6/20` <dbl> 41935, 23210, 60800, 5135, 12223, 130, 1228814, 10177~
## $ `11/7/20` <dbl> 41975, 23705, 61381, 5319, 12335, 131, 1236851, 10424~
## $ `11/8/20` <dbl> 42033, 24206, 62051, 5383, 12433, 131, 1242182, 10642~
## $ `11/9/20` <dbl> 42159, 24731, 62693, 5437, 12680, 131, 1250499, 10746~
## $ `11/10/20` <dbl> 42297, 25294, 63446, 5477, 12816, 131, 1262476, 10868~
## $ `11/11/20` <dbl> 42463, 25801, 64257, 5567, 12953, 131, 1273356, 11054~
## $ `11/12/20` <dbl> 42609, 26211, 65108, 5616, 13053, 131, 1284519, 11268~
## $ `11/13/20` <dbl> 42795, 26701, 65975, 5725, 13228, 133, 1296378, 11438~
## $ `11/14/20` <dbl> 42969, 27233, 66819, 5725, 13374, 134, 1304846, 11585~
## $ `11/15/20` <dbl> 43035, 27830, 67679, 5872, 13451, 134, 1310491, 11733~
## $ `11/16/20` <dbl> 43240, 28432, 68589, 5914, 13615, 134, 1318384, 11788~
## $ `11/17/20` <dbl> 43403, 29126, 69591, 5951, 13818, 134, 1329005, 11887~
## $ `11/18/20` <dbl> 43628, 29837, 70629, 6018, 13922, 139, 1339337, 12045~
## $ `11/19/20` <dbl> 43851, 30623, 71652, 6066, 14134, 139, 1349434, 12197~
## $ `11/20/20` <dbl> 44228, 31459, 72755, 6142, 14267, 139, 1359042, 12364~
## $ `11/21/20` <dbl> 44443, 32196, 73774, 6207, 14413, 139, 1366182, 12483~
## $ `11/22/20` <dbl> 44503, 32761, 74862, 6256, 14493, 139, 1370366, 12622~
## $ `11/23/20` <dbl> 44706, 33556, 75867, 6304, 14634, 139, 1374631, 12670~
## $ `11/24/20` <dbl> 44988, 34300, 77000, 6351, 14742, 139, 1381795, 12752~
## $ `11/25/20` <dbl> 45278, 34944, 78025, 6428, 14821, 140, 1390388, 12908~
## $ `11/26/20` <dbl> 45490, 35600, 79110, 6534, 14920, 141, 1399431, 13087~
## $ `11/27/20` <dbl> 45716, 36245, 80168, 6610, 15008, 141, 1407277, 13234~
## $ `11/28/20` <dbl> 45839, 36790, 81212, 6610, 15087, 141, 1413375, 13359~
## $ `11/29/20` <dbl> 45966, 37625, 82221, 6712, 15103, 141, 1418807, 13476~
## $ `11/30/20` <dbl> 46215, 38182, 83199, 6745, 15139, 141, 1424533, 13512~
## $ `12/1/20` <dbl> 46498, 39014, 84152, 6790, 15251, 142, 1432570, 13596~
## $ `12/2/20` <dbl> 46717, 39719, 85084, 6842, 15319, 144, 1440103, 13723~
## $ `12/3/20` <dbl> 46980, 40501, 85927, 6904, 15361, 144, 1447732, 13850~
## $ `12/4/20` <dbl> 47258, 41302, 86730, 6955, 15493, 144, 1454631, 13969~
## $ `12/5/20` <dbl> 47388, 42148, 87502, 7005, 15536, 144, 1459832, 14095~
## $ `12/6/20` <dbl> 47641, 42988, 88252, 7050, 15591, 144, 1463110, 14193~
## $ `12/7/20` <dbl> 47901, 43683, 88825, 7084, 15648, 146, 1466309, 14234~
## $ `12/8/20` <dbl> 48136, 44436, 89416, 7127, 15729, 146, 1469919, 14292~
## $ `12/9/20` <dbl> 48366, 45188, 90014, 7162, 15804, 146, 1475222, 14406~
## $ `12/10/20` <dbl> 48540, 46061, 90579, 7190, 15925, 146, 1482216, 14524~
## $ `12/11/20` <dbl> 48753, 46863, 91121, 7236, 16061, 147, 1489328, 14631~
## $ `12/12/20` <dbl> 48826, 47742, 91638, 7288, 16161, 148, 1494602, 14731~
## $ `12/13/20` <dbl> 48952, 48530, 92102, 7338, 16188, 148, 1498160, 14832~
## $ `12/14/20` <dbl> 49273, 49191, 92597, 7382, 16277, 148, 1503222, 14868~
## $ `12/15/20` <dbl> 49484, 50000, 93065, 7382, 16362, 148, 1510203, 14912~
## $ `12/16/20` <dbl> 49703, 50637, 93507, 7446, 16407, 151, 1517046, 15021~
## $ `12/17/20` <dbl> 49927, 51424, 93933, 7466, 16484, 151, 1524372, 15139~
## $ `12/18/20` <dbl> 50202, 52004, 94371, 7519, 16562, 152, 1531374, 15225~
## $ `12/19/20` <dbl> 50456, 52542, 94781, 7560, 16626, 152, 1537169, 15317~
## $ `12/20/20` <dbl> 50536, 53003, 95203, 7577, 16644, 153, 1541285, 15382~
## $ `12/21/20` <dbl> 50678, 53425, 95659, 7602, 16686, 153, 1547138, 15406~
## $ `12/22/20` <dbl> 50888, 53814, 96069, 7633, 16802, 153, 1555279, 15460~
## $ `12/23/20` <dbl> 51070, 54317, 96549, 7669, 16931, 154, 1563865, 15544~
## $ `12/24/20` <dbl> 51357, 54827, 97007, 7699, 17029, 154, 1563865, 15614~
## $ `12/25/20` <dbl> 51595, 55380, 97441, 7756, 17099, 155, 1574554, 15676~
## $ `12/26/20` <dbl> 51764, 55755, 97857, 7806, 17149, 155, 1578267, 15734~
## $ `12/27/20` <dbl> 51848, 56254, 98249, 7821, 17240, 155, 1583297, 15783~
## $ `12/28/20` <dbl> 52007, 56572, 98631, 7875, 17296, 158, 1590513, 15794~
## $ `12/29/20` <dbl> 52147, 57146, 98988, 7919, 17371, 158, 1602163, 15829~
## $ `12/30/20` <dbl> 52330, 57727, 99311, 7983, 17433, 158, 1613928, 15887~
## $ `12/31/20` <dbl> 52330, 58316, 99610, 8049, 17553, 159, 1625514, 15940~
## $ `1/1/21` <dbl> 52513, 58316, 99897, 8117, 17568, 159, 1629594, 15973~
## $ `1/2/21` <dbl> 52586, 58991, 100159, 8166, 17608, 159, 1634834, 1597~
## $ `1/3/21` <dbl> 52709, 59438, 100408, 8192, 17642, 160, 1640718, 1600~
## $ `1/4/21` <dbl> 52909, 59623, 100645, 8249, 17684, 160, 1648940, 1602~
## $ `1/5/21` <dbl> 53011, 60283, 100873, 8308, 17756, 160, 1662730, 1605~
## $ `1/6/21` <dbl> 53105, 61008, 101120, 8348, 17864, 163, 1676171, 1608~
## $ `1/7/21` <dbl> 53207, 61705, 101382, 8348, 17974, 163, 1690006, 1610~
## $ `1/8/21` <dbl> 53332, 62378, 101657, 8489, 18066, 167, 1703352, 1614~
## $ `1/9/21` <dbl> 53400, 63033, 101913, 8586, 18156, 169, 1714409, 1617~
## $ `1/10/21` <dbl> 53489, 63595, 102144, 8586, 18193, 176, 1722217, 1621~
## $ `1/11/21` <dbl> 53538, 63971, 102369, 8586, 18254, 176, 1730921, 1622~
## $ `1/12/21` <dbl> 53584, 64627, 102641, 8682, 18343, 176, 1744704, 1626~
## $ `1/13/21` <dbl> 53690, 65334, 102860, 8818, 18425, 176, 1757429, 1631~
## $ `1/14/21` <dbl> 53775, 65994, 103127, 8868, 18613, 184, 1770715, 1635~
## $ `1/15/21` <dbl> 53831, 66635, 103381, 8946, 18679, 184, 1783047, 1639~
## $ `1/16/21` <dbl> 53938, 67216, 103611, 9038, 18765, 187, 1791979, 1642~
## $ `1/17/21` <dbl> 53984, 67690, 103833, 9083, 18875, 189, 1799243, 1645~
## $ `1/18/21` <dbl> 54062, 67982, 104092, 9083, 18926, 189, 1807428, 1646~
## $ `1/19/21` <dbl> 54141, 68568, 104341, 9194, 19011, 190, 1819569, 1649~
## $ `1/20/21` <dbl> 54278, 69238, 104606, 9308, 19093, 190, 1831681, 1652~
## $ `1/21/21` <dbl> 54403, 69916, 104852, 9379, 19177, 192, 1843077, 1655~
## $ `1/22/21` <dbl> 54483, 70655, 105124, 9416, 19269, 195, 1853830, 1657~
## $ `1/23/21` <dbl> 54559, 71441, 105369, 9499, 19367, 195, 1862192, 1659~
## $ `1/24/21` <dbl> 54595, 72274, 105596, 9549, 19399, 198, 1867223, 1660~
## $ `1/25/21` <dbl> 54672, 72812, 105854, 9596, 19476, 201, 1874801, 1660~
## $ `1/26/21` <dbl> 54750, 73691, 106097, 9638, 19553, 201, 1885210, 1662~
## $ `1/27/21` <dbl> 54854, 74567, 106359, 9716, 19580, 215, 1896053, 1664~
## $ `1/28/21` <dbl> 54891, 75454, 106610, 9779, 19672, 215, 1905524, 1666~
## $ `1/29/21` <dbl> 54939, 76350, 106887, 9837, 19723, 218, 1915362, 1667~
## $ `1/30/21` <dbl> 55008, 77251, 107122, 9885, 19782, 218, 1922264, 1669~
## $ `1/31/21` <dbl> 55023, 78127, 107339, 9937, 19796, 234, 1927239, 1670~
## $ `2/1/21` <dbl> 55059, 78992, 107578, 9972, 19829, 234, 1933853, 1670~
## $ `2/2/21` <dbl> 55121, 79934, 107841, 10017, 19900, 249, 1943548, 167~
## $ `2/3/21` <dbl> 55174, 80941, 108116, 10070, 19937, 249, 1952744, 167~
## $ `2/4/21` <dbl> 55231, 81993, 108381, 10137, 19996, 268, 1961635, 167~
## $ `2/5/21` <dbl> 55265, 83082, 108629, 10172, 20030, 277, 1970009, 167~
## $ `2/6/21` <dbl> 55330, 84212, 108629, 10206, 20062, 288, 1976689, 167~
## $ `2/7/21` <dbl> 55335, 85336, 109088, 10251, 20086, 299, 1980347, 168~
## $ `2/8/21` <dbl> 55359, 86289, 109313, 10275, 20112, 316, 1985501, 168~
## $ `2/9/21` <dbl> 55384, 87528, 109559, 10312, 20163, 316, 1993295, 168~
## $ `2/10/21` <dbl> 55402, 88671, 109782, 10352, 20210, 350, 2001034, 168~
## $ `2/11/21` <dbl> 55420, 89776, 110049, 10391, 20261, 381, 2008345, 168~
## $ `2/12/21` <dbl> 55445, 90835, 110303, 10427, 20294, 419, 2015496, 168~
## $ `2/13/21` <dbl> 55473, 91987, 110513, 10463, 20329, 427, 2021553, 169~
## $ `2/14/21` <dbl> 55492, 93075, 110711, 10503, 20366, 427, 2025798, 169~
## $ `2/15/21` <dbl> 55514, 93850, 110894, 10538, 20381, 443, 2029057, 169~
## $ `2/16/21` <dbl> 55518, 94651, 111069, 10555, 20389, 443, 2033060, 169~
## $ `2/17/21` <dbl> 55540, 95726, 111247, 10583, 20400, 525, 2039124, 169~
## $ `2/18/21` <dbl> 55557, 96838, 111418, 10610, 20452, 548, 2046795, 169~
## $ `2/19/21` <dbl> 55575, 97909, 111600, 10645, 20478, 548, 2054681, 170~
## $ `2/20/21` <dbl> 55580, 99062, 111764, 10672, 20499, 598, 2060625, 170~
## $ `2/21/21` <dbl> 55604, 100246, 111917, 10699, 20519, 598, 2064334, 17~
## $ `2/22/21` <dbl> 55617, 101285, 112094, 10712, 20548, 614, 2069751, 17~
## $ `2/23/21` <dbl> 55646, 102306, 112279, 10739, 20584, 636, 2077228, 17~
## $ `2/24/21` <dbl> 55664, 103327, 112461, 10775, 20640, 646, 2085411, 17~
## $ `2/25/21` <dbl> 55680, 104313, 112622, 10799, 20695, 701, 2093645, 17~
## $ `2/26/21` <dbl> 55696, 105229, 112805, 10822, 20759, 701, 2098728, 17~
## $ `2/27/21` <dbl> 55707, 106215, 112960, 10849, 20782, 726, 2104197, 17~
## $ `2/28/21` <dbl> 55714, 107167, 113092, 10866, 20807, 730, 2107365, 17~
## $ `3/1/21` <dbl> 55733, 107931, 113255, 10889, 20854, 769, 2112023, 17~
## $ `3/2/21` <dbl> 55759, 108823, 113430, 10908, 20882, 769, 2118676, 17~
## $ `3/3/21` <dbl> 55770, 109674, 113593, 10948, 20923, 769, 2126531, 17~
## $ `3/4/21` <dbl> 55775, 110521, 113761, 10976, 20981, 813, 2133963, 17~
## $ `3/5/21` <dbl> 55827, 111301, 113948, 10998, 21026, 813, 2141854, 17~
## $ `3/6/21` <dbl> 55840, 112078, 114104, 11019, 21055, 813, 2146714, 17~
## $ `3/7/21` <dbl> 55847, 112897, 114234, 11042, 21086, 848, 2149636, 17~
## $ `3/8/21` <dbl> 55876, 113580, 114382, 11069, 21108, 848, 2154694, 17~
## $ `3/9/21` <dbl> 55876, 114209, 114543, 11089, 21114, 862, 2162001, 17~
## $ `3/10/21` <dbl> 55894, 114840, 114681, 11130, 21161, 882, 2169694, 17~
## $ `3/11/21` <dbl> 55917, 115442, 114851, 11130, 21205, 882, 2177898, 17~
## $ `3/12/21` <dbl> 55959, 116123, 115008, 11199, 21265, 945, 2185747, 17~
## $ `3/13/21` <dbl> 55959, 116821, 115143, 11228, 21323, 962, 2192025, 17~
## $ `3/14/21` <dbl> 55985, 117474, 115265, 11266, 21380, 963, 2195722, 17~
## $ `3/15/21` <dbl> 55985, 118017, 115410, 11289, 21407, 963, 2201886, 17~
## $ `3/16/21` <dbl> 55995, 118492, 115540, 11319, 21446, 992, 2210121, 17~
## $ `3/17/21` <dbl> 56016, 118938, 115688, 11360, 21489, 992, 2218425, 18~
## $ `3/18/21` <dbl> 56044, 119528, 115842, 11393, 21558, 1008, 2226753, 1~
## $ `3/19/21` <dbl> 56069, 120022, 115970, 11431, 21642, 1011, 2234913, 1~
## $ `3/20/21` <dbl> 56093, 120541, 116066, 11481, 21696, 1033, 2241739, 1~
## $ `3/21/21` <dbl> 56103, 121200, 116157, 11517, 21733, 1033, 2245771, 1~
## $ `3/22/21` <dbl> 56153, 121544, 116255, 11545, 21757, 1072, 2252172, 1~
## $ `3/23/21` <dbl> 56177, 121847, 116349, 11591, 21774, 1080, 2261577, 1~
## $ `3/24/21` <dbl> 56192, 122295, 116438, 11638, 21836, 1080, 2269877, 1~
## $ `3/25/21` <dbl> 56226, 122767, 116543, 11687, 21914, 1103, 2278115, 1~
## $ `3/26/21` <dbl> 56254, 123216, 116657, 11732, 21961, 1122, 2291051, 1~
## $ `3/27/21` <dbl> 56290, 123641, 116750, 11809, 22031, 1122, 2301389, 1~
## $ `3/28/21` <dbl> 56294, 124134, 116836, 11850, 22063, 1128, 2308597, 1~
## $ `3/29/21` <dbl> 56322, 124419, 116946, 11888, 22132, 1136, 2322611, 1~
## $ `3/30/21` <dbl> 56384, 124723, 117061, 11944, 22182, 1136, 2332765, 1~
## $ `3/31/21` <dbl> 56454, 125157, 117192, 12010, 22311, 1136, 2348821, 1~
## $ `4/1/21` <dbl> 56517, 125506, 117304, 12053, 22399, 1147, 2363251, 1~
## $ `4/2/21` <dbl> 56572, 125842, 117429, 12115, 22467, 1152, 2373153, 1~
## $ `4/3/21` <dbl> 56595, 126183, 117524, 12174, 22579, 1170, 2383537, 1~
## $ `4/4/21` <dbl> 56676, 126531, 117622, 12231, 22631, 1170, 2393492, 1~
## $ `4/5/21` <dbl> 56717, 126795, 117739, 12286, 22717, 1173, 2407159, 1~
## $ `4/6/21` <dbl> 56779, 126936, 117879, 12328, 22885, 1173, 2428029, 1~
## $ `4/7/21` <dbl> 56873, 127192, 118004, 12363, 23010, 1177, 2450068, 1~
## $ `4/8/21` <dbl> 56943, 127509, 118116, 12409, 23108, 1180, 2473751, 2~
## $ `4/9/21` <dbl> 57019, 127795, 118251, 12456, 23242, 1182, 2497881, 2~
## $ `4/10/21` <dbl> 57144, 128155, 118378, 12497, 23331, 1197, 2517300, 2~
## $ `4/11/21` <dbl> 57160, 128393, 118516, 12545, 23457, 1198, 2532562, 2~
## $ `4/12/21` <dbl> 57242, 128518, 118645, 12581, 23549, 1198, 2551999, 2~
## $ `4/13/21` <dbl> 57364, 128752, 118799, 12614, 23697, 1201, 2579000, 2~
## $ `4/14/21` <dbl> 57492, 128959, 118975, 12641, 23841, 1201, 2604157, 2~
## $ `4/15/21` <dbl> 57534, 129128, 119142, 12641, 23951, 1209, 2629156, 2~
## $ `4/16/21` <dbl> 57612, 129307, 119323, 12712, 24122, 1213, 2658628, 2~
## $ `4/17/21` <dbl> 57721, 129456, 119486, 12771, 24300, 1216, 2677747, 2~
## $ `4/18/21` <dbl> 57793, 129594, 119642, 12805, 24389, 1216, 2694014, 2~
## $ `4/19/21` <dbl> 57898, 129694, 119805, 12805, 24518, 1217, 2714475, 2~
## $ `4/20/21` <dbl> 58037, 129842, 119992, 12874, 24661, 1217, 2743620, 2~
## $ `4/21/21` <dbl> 58214, 129980, 120174, 12917, 24883, 1217, 2769552, 2~
## $ `4/22/21` <dbl> 58312, 130114, 120363, 12942, 25051, 1217, 2796768, 2~
## $ `4/23/21` <dbl> 58542, 130270, 120562, 13007, 25279, 1222, 2824652, 2~
## $ `4/24/21` <dbl> 58730, 130409, 120736, 13024, 25492, 1227, 2845872, 2~
## $ `4/25/21` <dbl> 58843, 130537, 120922, 13060, 25609, 1227, 2860884, 2~
## $ `4/26/21` <dbl> 59015, 130606, 121112, 13083, 25710, 1228, 2879677, 2~
## $ `4/27/21` <dbl> 59225, 130736, 121344, 13121, 25942, 1232, 2905172, 2~
## $ `4/28/21` <dbl> 59370, 130859, 121580, 13148, 26168, 1232, 2928890, 2~
## $ `4/29/21` <dbl> 59576, 130977, 121866, 13198, 26431, 1232, 2954943, 2~
## $ `4/30/21` <dbl> 59745, 131085, 122108, 13232, 26652, 1232, 2977363, 2~
## $ `5/1/21` <dbl> 59939, 131185, 122311, 13232, 26815, 1232, 2993865, 2~
## $ `5/2/21` <dbl> 60122, 131238, 122522, 13282, 26993, 1232, 3005259, 2~
## $ `5/3/21` <dbl> 60300, 131276, 122717, 13295, 27133, 1232, 3021179, 2~
## $ `5/4/21` <dbl> 60563, 131327, 122999, 13316, 27284, 1232, 3047417, 2~
## $ `5/5/21` <dbl> 60797, 131419, 123272, 13340, 27529, 1232, 3071496, 2~
## $ `5/6/21` <dbl> 61162, 131510, 123473, 13363, 27921, 1232, 3095582, 2~
## $ `5/7/21` <dbl> 61455, 131577, 123692, 13390, 28201, 1232, 3118134, 2~
## $ `5/8/21` <dbl> 61755, 131666, 123900, 13406, 28477, 1232, 3136158, 2~
## $ `5/9/21` <dbl> 61842, 131723, 124104, 13423, 28740, 1231, 3147740, 2~
## $ `5/10/21` <dbl> 62063, 131753, 124288, 13429, 28875, 1237, 3165121, 2~
## $ `5/11/21` <dbl> 62403, 131803, 124483, 13447, 29146, 1238, 3191097, 2~
## $ `5/12/21` <dbl> 62718, 131845, 124682, 13470, 29405, 1240, 3215572, 2~
## $ `5/13/21` <dbl> 63045, 131890, 124889, 13470, 29695, 1240, 3242103, 2~
## $ `5/14/21` <dbl> 63355, 131939, 125059, 13510, 30030, 1240, 3269466, 2~
## $ `5/15/21` <dbl> 63412, 131978, 125194, 13510, 30354, 1241, 3290935, 2~
## $ `5/16/21` <dbl> 63484, 132015, 125311, 13510, 30637, 1241, 3307285, 2~
## $ `5/17/21` <dbl> 63598, 132032, 125485, 13555, 30787, 1251, 3335965, 2~
## $ `5/18/21` <dbl> 63819, 132071, 125693, 13569, 31045, 1251, 3371508, 2~
## $ `5/19/21` <dbl> 64122, 132095, 125896, 13569, 31438, 1252, 3411160, 2~
## $ `5/20/21` <dbl> 64575, 132118, 126156, 13569, 31661, 1255, 3447044, 2~
## $ `5/21/21` <dbl> 65080, 132153, 126434, 13569, 31909, 1255, 3482512, 2~
## $ `5/22/21` <dbl> 65486, 132176, 126651, 13569, 32149, 1257, 3514683, 2~
## $ `5/23/21` <dbl> 65728, 132209, 126860, 13569, 32441, 1257, 3539484, 2~
## $ `5/24/21` <dbl> 66275, 132215, 127107, 13569, 32623, 1258, 3562135, 2~
## $ `5/25/21` <dbl> 66903, 132229, 127361, 13664, 32933, 1258, 3586736, 2~
## $ `5/26/21` <dbl> 67743, 132244, 127646, 13671, 33338, 1258, 3622135, 2~
## $ `5/27/21` <dbl> 68366, 132264, 127926, 13682, 33607, 1258, 3663215, 2~
## $ `5/28/21` <dbl> 69130, 132285, 128198, 13693, 33944, 1259, 3702422, 2~
## $ `5/29/21` <dbl> 70111, 132297, 128456, 13693, 34180, 1259, 3732263, 2~
## $ `5/30/21` <dbl> 70761, 132309, 128725, 13693, 34366, 1259, 3753609, 2~
## $ `5/31/21` <dbl> 71838, 132315, 128913, 13727, 34551, 1260, 3781784, 2~
## $ `6/1/21` <dbl> 72977, 132337, 129218, 13729, 34752, 1260, 3817139, 2~
## $ `6/2/21` <dbl> 74026, 132351, 129640, 13744, 34960, 1262, 3852156, 2~
## $ `6/3/21` <dbl> 75119, 132360, 129976, 13752, 35140, 1262, 3884447, 2~
## $ `6/4/21` <dbl> 76628, 132372, 130361, 13758, 35307, 1263, 3915397, 2~
## $ `6/5/21` <dbl> 77963, 132374, 130681, 13758, 35594, 1263, 3939024, 2~
## $ `6/6/21` <dbl> 79224, 132379, 130958, 13758, 35772, 1263, 3955439, 2~
## $ `6/7/21` <dbl> 80841, 132384, 131283, 13777, 35854, 1263, 3977634, 2~
## $ `6/8/21` <dbl> 82326, 132397, 131647, 13781, 36004, 1263, 4008771, 2~
## $ `6/9/21` <dbl> 84050, 132415, 132034, 13791, 36115, 1263, 4038528, 2~
## $ `6/10/21` <dbl> 85892, 132426, 132355, 13805, 36325, 1263, 4066156, 2~
## $ `6/11/21` <dbl> 87716, 132437, 132727, 13813, 36455, 1263, 4093090, 2~
## $ `6/12/21` <dbl> 88740, 132449, 133070, 13813, 36600, 1263, 4111147, 2~
## $ `6/13/21` <dbl> 89861, 132459, 133388, 13813, 36705, 1263, 4124190, 2~
## $ `6/14/21` <dbl> 91458, 132461, 133742, 13826, 36790, 1263, 4145482, 2~
## $ `6/15/21` <dbl> 93272, 132469, 134115, 13828, 36921, 1263, 4172742, 2~
## $ `6/16/21` <dbl> 93288, 132476, 134458, 13836, 37094, 1263, 4198620, 2~
## $ `6/17/21` <dbl> 96531, 132481, 134840, 13839, 37289, 1263, 4222400, 2~
## $ `6/18/21` <dbl> 98734, 132484, 135219, 13842, 37467, 1263, 4242763, 2~
## $ `6/19/21` <dbl> 100521, 132488, 135586, 13842, 37604, 1263, 4258394, ~
## $ `6/20/21` <dbl> 101906, 132490, 135821, 13842, 37678, 1263, 4268789, ~
## $ `6/21/21` <dbl> 103902, 132490, 136294, 13864, 37748, 1263, 4277395, ~
## $ `6/22/21` <dbl> 105749, 132496, 136679, 13864, 37874, 1263, 4298782, ~
## $ `6/23/21` <dbl> 107957, 132497, 137049, 13873, 38002, 1263, 4326101, ~
## $ `6/24/21` <dbl> 109532, 132499, 137403, 13877, 38091, 1263, 4350564, ~
## $ `6/25/21` <dbl> 111592, 132506, 137772, 13882, 38371, 1263, 4374587, ~
## $ `6/26/21` <dbl> 113124, 132509, 138113, 13882, 38528, 1263, 4393142, ~
## $ `6/27/21` <dbl> 114220, 132512, 138465, 13882, 38556, 1263, 4405247, ~
## $ `6/28/21` <dbl> 115751, 132513, 138840, 13882, 38613, 1263, 4423636, ~
## $ `6/29/21` <dbl> 117158, 132514, 139229, 13900, 38682, 1263, 4447701, ~
## $ `6/30/21` <dbl> 118659, 132521, 139626, 13911, 38849, 1263, 4470374, ~
## $ `7/1/21` <dbl> 120216, 132523, 140075, 13918, 38965, 1264, 4491551, ~
## $ `7/2/21` <dbl> 122156, 132526, 140550, 13918, 39089, 1264, 4512439, ~
## $ `7/3/21` <dbl> 123485, 132534, 141007, 13918, 39172, 1264, 4526473, ~
## $ `7/4/21` <dbl> 124748, 132535, 141471, 13918, 39230, 1264, 4535473, ~
## $ `7/5/21` <dbl> 125937, 132537, 141966, 13918, 39300, 1264, 4552750, ~
## $ `7/6/21` <dbl> 127464, 132544, 142447, 13991, 39375, 1265, 4574340, ~
## $ `7/7/21` <dbl> 129021, 132557, 143032, 14021, 39491, 1265, 4593763, ~
## $ `7/8/21` <dbl> 130113, 132565, 143652, 14050, 39593, 1266, 4613019, ~
## $ `7/9/21` <dbl> 131586, 132580, 144483, 14075, 39791, 1266, 4627537, ~
## $ `7/10/21` <dbl> 132777, 132587, 145296, 14075, 39881, 1266, 4639098, ~
## $ `7/11/21` <dbl> 133578, 132592, 146064, 14075, 39958, 1266, 4647948, ~
## $ `7/12/21` <dbl> 134653, 132597, 146942, 14155, 40055, 1266, 4662937, ~
## $ `7/13/21` <dbl> 135889, 132608, 147883, 14167, 40138, 1266, 4682960, ~
## $ `7/14/21` <dbl> 136643, 132616, 148797, 14167, 40327, 1267, 4702657, ~
## $ `7/15/21` <dbl> 137853, 132629, 149906, 14239, 40530, 1267, 4719952, ~
## $ `7/16/21` <dbl> 139051, 132647, 151103, 14273, 40631, 1268, 4737213, ~
## $ `7/17/21` <dbl> 140224, 132665, 152210, 14273, 40707, 1268, 4749443, ~
## $ `7/18/21` <dbl> 140602, 132686, 153309, 14273, 40805, 1268, 4756378, ~
## $ `7/19/21` <dbl> 141499, 132697, 154486, 14359, 40906, 1275, 4769142, ~
## $ `7/20/21` <dbl> 142414, 132740, 155784, 14379, 41061, 1275, 4784219, ~
## $ `7/21/21` <dbl> 142762, 132763, 157005, 14379, 41227, 1275, 4798851, ~
## $ `7/22/21` <dbl> 143183, 132797, 158213, 14464, 41405, 1277, 4812351, ~
## $ `7/23/21` <dbl> 143439, 132828, 159563, 14498, 41629, 1277, 4827973, ~
## $ `7/24/21` <dbl> 143666, 132853, 160868, 14498, 41736, 1280, 4839109, ~
## $ `7/25/21` <dbl> 143871, 132875, 162155, 14498, 41780, 1280, 4846615, ~
## $ `7/26/21` <dbl> 144285, 132891, 163660, 14577, 41879, 1280, 4859170, ~
## $ `7/27/21` <dbl> 145008, 132922, 165204, 14586, 42110, 1288, 4875927, ~
## $ `7/28/21` <dbl> 145552, 132952, 167131, 14586, 42288, 1288, 4891810, ~
## $ `7/29/21` <dbl> 145996, 132999, 168668, 14655, 42486, 1295, 4905925, ~
## $ `7/30/21` <dbl> 146523, 133036, 170189, 14678, 42646, 1303, 4919408, ~
## $ `7/31/21` <dbl> 147154, 133081, 171392, 14678, 42777, 1303, 4929764, ~
## $ `8/1/21` <dbl> 147501, 133121, 172564, 14678, 42815, 1303, 4935847, ~
## $ `8/2/21` <dbl> 147985, 133146, 173922, 14747, 42970, 1303, 4947030, ~
## $ `8/3/21` <dbl> 148572, 133211, 175229, 14766, 43070, 1303, 4961880, ~
## $ `8/4/21` <dbl> 148933, 133310, 176724, 14797, 43158, 1311, 4975616, ~
## $ `8/5/21` <dbl> 149361, 133442, 178013, 14809, 43269, 1320, 4989402, ~
## $ `8/6/21` <dbl> 149810, 133591, 179216, 14836, 43487, 1328, 5002951, ~
## $ `8/7/21` <dbl> 150240, 133730, 180356, 14836, 43592, 1328, 5012754, ~
## $ `8/8/21` <dbl> 150458, 133912, 181376, 14836, 43662, 1338, 5018895, ~
## $ `8/9/21` <dbl> 150778, 133981, 182368, 14836, 43747, 1348, 5029075, ~
## $ `8/10/21` <dbl> 151013, 134201, 183347, 14873, 43890, 1348, 5041487, ~
## $ `8/11/21` <dbl> 151291, 134487, 184191, 14891, 43998, 1372, 5052884, ~
## $ `8/12/21` <dbl> 151563, 134761, 185042, 14908, 44174, 1372, 5066253, ~
## $ `8/13/21` <dbl> 151770, 135140, 185902, 14924, 44328, 1372, 5074725, ~
## $ `8/14/21` <dbl> 151941, 135550, 186655, 14924, 44534, 1378, 5080908, ~
## $ `8/15/21` <dbl> 152033, 135947, 187258, 14924, 44617, 1397, 5084635, ~
## $ `8/16/21` <dbl> 152142, 136147, 187968, 14954, 44739, 1397, 5088271, ~
## $ `8/17/21` <dbl> 152243, 136598, 188663, 14960, 44972, 1397, 5096443, ~
## $ `8/18/21` <dbl> 152363, 137075, 189384, 14976, 45175, 1421, 5106207, ~
## $ `8/19/21` <dbl> 152411, 137597, 190078, 14981, 45325, 1421, 5116803, ~
## $ `8/20/21` <dbl> 152448, 138132, 190656, 14988, 45583, 1447, 5124963, ~
## $ `8/21/21` <dbl> 152497, 138790, 191171, 14988, 45817, 1490, 5130852, ~
## $ `8/22/21` <dbl> 152511, 139324, 191583, 14988, 45945, 1490, 5133831, ~
## $ `8/23/21` <dbl> 152583, 139721, 192089, 15002, 46076, 1540, 5139966, ~
## $ `8/24/21` <dbl> 152660, 140521, 192626, 15003, 46340, 1540, 5148085, ~
## $ `8/25/21` <dbl> 152722, 141365, 193171, 15014, 46539, 1598, 5155079, ~
## $ `8/26/21` <dbl> 152822, 142253, 193674, 15016, 46726, 1598, 5161926, ~
## $ `8/27/21` <dbl> 152960, 143174, 194186, 15025, 46929, 1598, 5167733, ~
## $ `8/28/21` <dbl> 153007, 144079, 194671, 15025, 47079, 1638, 5171458, ~
## $ `8/29/21` <dbl> 153033, 144847, 195162, 15025, 47168, 1651, 5173531, ~
## $ `8/30/21` <dbl> 153148, 145333, 195574, 15032, 47331, 1713, 5178889, ~
## $ `8/31/21` <dbl> 153220, 146387, 196080, 15033, 47544, 1715, 5185620, ~
## $ `9/1/21` <dbl> 153260, 147369, 196527, 15046, 47781, 1719, 5190948, ~
## $ `9/2/21` <dbl> 153306, 148222, 196915, 15052, 48004, 1742, 5195601, ~
## $ `9/3/21` <dbl> 153375, 149117, 197308, 15055, 48261, 1750, 5199919, ~
## $ `9/4/21` <dbl> 153395, 150101, 197659, 15055, 48475, 1759, 5202405, ~
## $ `9/5/21` <dbl> 153423, 150997, 198004, 15055, 48656, 1870, 5203802, ~
## $ `9/6/21` <dbl> 153534, 151499, 198313, 15069, 48790, 1878, 5207695, ~
## $ `9/7/21` <dbl> 153626, 152239, 198645, 15070, 49114, 1960, 5211801, ~
## $ `9/8/21` <dbl> 153736, 153318, 198962, 15070, 49349, 1974, 5215332, ~
## $ `9/9/21` <dbl> 153840, 154316, 199275, 15078, 49628, 2059, 5218993, ~
## $ `9/10/21` <dbl> 153962, 155293, 199560, 15083, 49943, 2059, 5221809, ~
## $ `9/11/21` <dbl> 153982, 156162, 199822, 15083, 50348, 2166, 5223604, ~
## $ `9/12/21` <dbl> 153990, 157026, 200068, 15083, 50446, 2166, 5224534, ~
## $ `9/13/21` <dbl> 154094, 157436, 200301, 15096, 50738, 2297, 5226831, ~
## $ `9/14/21` <dbl> 154180, 158431, 200528, 15099, 51047, 2304, 5229848, ~
## $ `9/15/21` <dbl> 154283, 159423, 200770, 15108, 51407, 2304, 5232358, ~
## $ `9/16/21` <dbl> 154361, 160365, 200989, 15113, 51827, 2304, 5234851, ~
## $ `9/17/21` <dbl> 154487, 161324, 201224, 15124, 52208, 2603, 5237159, ~
## $ `9/18/21` <dbl> 154487, 162173, 201425, 15124, 52307, 2603, 5238610, ~
## $ `9/19/21` <dbl> 154487, 162953, 201600, 15124, 52307, 2603, 5239232, ~
## $ `9/20/21` <dbl> 154585, 163404, 201766, 15140, 52644, 2603, 5241394, ~
## $ `9/21/21` <dbl> 154712, 164276, 201948, 15140, 52968, 2603, 5243231, ~
## $ `9/22/21` <dbl> 154757, 165096, 202122, 15153, 53387, 2625, 5245265, ~
## $ `9/23/21` <dbl> 154800, 165864, 202283, 15156, 53840, 2815, 5246998, ~
## $ `9/24/21` <dbl> 154960, 166690, 202449, 15167, 54280, 2815, 5248847, ~
## $ `9/25/21` <dbl> 154960, 167354, 202574, 15167, 54795, 2902, 5249840, ~
## $ `9/26/21` <dbl> 154960, 167893, 202722, 15167, 55121, 2923, 5250402, ~
## $ `9/27/21` <dbl> 155072, 168188, 202877, 15189, 55583, 2923, 5251940, ~
## $ `9/28/21` <dbl> 155093, 168782, 203045, 15192, 56040, 3160, 5253765, ~
## $ `9/29/21` <dbl> 155128, 169462, 203198, 15209, 56583, 3188, 5255261, ~
## $ `9/30/21` <dbl> 155174, 170131, 203359, 15222, 56583, 3231, 5256902, ~
## $ `10/1/21` <dbl> 155191, 170778, 203517, 15222, 58076, 3336, 5258466, ~
## $ `10/2/21` <dbl> 155191, 171327, 203657, 15222, 58603, 3403, 5259352, ~
## $ `10/3/21` <dbl> 155191, 171794, 203789, 15222, 58943, 3503, 5259738, ~
## $ `10/4/21` <dbl> 155287, 171794, 203915, 15267, 58943, 3503, 5260719, ~
## $ `10/5/21` <dbl> 155309, 172618, 204046, 15271, 59895, 3518, 5261935, ~
## $ `10/6/21` <dbl> 155380, 173190, 204171, 15284, 60448, 3581, 5263219, ~
## $ `10/7/21` <dbl> 155429, 173723, 204276, 15288, 60803, 3663, 5264305, ~
## $ `10/8/21` <dbl> 155448, 174168, 204388, 15291, 61023, 3678, 5265058, ~
## $ `10/9/21` <dbl> 155466, 174643, 204490, 15291, 61245, 3738, 5265528, ~
## $ `10/10/21` <dbl> 155508, 174968, 204597, 15291, 61378, 3750, 5265859, ~
## $ `10/11/21` <dbl> 155540, 175163, 204695, 15307, 61580, 3750, 5266275, ~
## $ `10/12/21` <dbl> 155599, 175664, 204790, 15307, 61794, 3772, 5267339, ~
## $ `10/13/21` <dbl> 155627, 176172, 204900, 15314, 62143, 3817, 5268653, ~
## $ `10/14/21` <dbl> 155682, 176667, 205005, 15326, 62385, 3830, 5270003, ~
## $ `10/15/21` <dbl> 155688, 177108, 205106, 15338, 62606, 3858, 5271361, ~
## $ `10/16/21` <dbl> 155739, 177536, 205199, 15338, 62789, 3888, 5272151, ~
## $ `10/17/21` <dbl> 155764, 177971, 205286, 15338, 62842, 3888, 5272551, ~
## $ `10/18/21` <dbl> 155776, 178188, 205364, 15367, 63012, 3918, 5273463, ~
## $ `10/19/21` <dbl> 155801, 178804, 205453, 15369, 63197, 3918, 5274766, ~
## $ `10/20/21` <dbl> 155859, 179463, 205529, 15382, 63340, 3939, 5275984, ~
## $ `10/21/21` <dbl> 155891, 180029, 205599, 15382, 63567, 3984, 5277525, ~
## $ `10/22/21` <dbl> 155931, 180623, 205683, 15404, 63691, 3994, 5278910, ~
## $ `10/23/21` <dbl> 155940, 181252, 205750, 15404, 63775, 4019, 5279818, ~
## $ `10/24/21` <dbl> 155944, 181696, 205822, 15404, 63861, 4019, 5280358, ~
## $ `10/25/21` <dbl> 156040, 181960, 205903, 15425, 63930, 4031, 5281585, ~
## $ `10/26/21` <dbl> 156071, 182610, 205990, 15425, 64033, 4031, 5283000, ~
## $ `10/27/21` <dbl> 156124, 183282, 206069, 15462, 64126, 4036, 5284485, ~
## $ `10/28/21` <dbl> 156166, 183873, 206160, 15505, 64226, 4040, 5286074, ~
## $ `10/29/21` <dbl> 156196, 184340, 206270, 15516, 64301, 4040, 5287447, ~
## $ `10/30/21` <dbl> 156210, 184887, 206358, 15516, 64374, 4058, 5288259, ~
## $ `10/31/21` <dbl> 156250, 185300, 206452, 15516, 64433, 4058, 5288807, ~
## $ `11/1/21` <dbl> 156284, 185497, 206566, 15516, 64458, 4062, 5289945, ~
## $ `11/2/21` <dbl> 156307, 186222, 206649, 15516, 64487, 4069, 5291285, ~
## $ `11/3/21` <dbl> 156323, 186793, 206754, 15572, 64533, 4069, 5292549, ~
## $ `11/4/21` <dbl> 156363, 187363, 206878, 15618, 64583, 4072, 5293989, ~
## $ `11/5/21` <dbl> 156392, 187994, 206995, 15618, 64612, 4078, 5295260, ~
## $ `11/6/21` <dbl> 156397, 187994, 207079, 15618, 64654, 4091, 5296188, ~
## $ `11/7/21` <dbl> 156397, 189125, 207156, 15618, 64674, 4091, 5296781, ~
## $ `11/8/21` <dbl> 156397, 189355, 207254, 15705, 64724, 4091, 5298069, ~
## $ `11/9/21` <dbl> 156397, 190125, 207385, 15717, 64762, 4091, 5299418, ~
## $ `11/10/21` <dbl> 156414, 190815, 207509, 15744, 64815, 4102, 5300985, ~
## $ `11/11/21` <dbl> 156456, 191440, 207624, 15744, 64857, 4102, 5302445, ~
## $ `11/12/21` <dbl> 156487, 192013, 207764, 15819, 64875, 4106, 5304059, ~
## $ `11/13/21` <dbl> 156510, 192600, 207873, 15819, 64899, 4118, 5305151, ~
## $ `11/14/21` <dbl> 156552, 193075, 207970, 15819, 64913, 4118, 5305742, ~
## $ `11/15/21` <dbl> 156610, 193269, 208104, 15907, 64913, 4118, 5307159, ~
## $ `11/16/21` <dbl> 156649, 193856, 208245, 15929, 64940, 4122, 5308781, ~
## $ `11/17/21` <dbl> 156739, 194472, 208380, 15972, 64968, 4129, 5310334, ~
## $ `11/18/21` <dbl> 156739, 195021, 208532, 16035, 64985, 4129, 5312089, ~
## $ `11/19/21` <dbl> 156812, 195523, 208695, 16086, 64997, 4131, 5313607, ~
## $ `11/20/21` <dbl> 156864, 195988, 208839, 16086, 65011, 4135, 5314702, ~
## $ `11/21/21` <dbl> 156896, 195988, 208952, 16086, 65024, 4135, 5315348, ~
## $ `11/22/21` <dbl> 156911, 196611, 209111, 16299, 65033, 4136, 5315989, ~
## $ `11/23/21` <dbl> 157015, 197167, 209283, 16342, 65061, 4138, 5317633, ~
## $ `11/24/21` <dbl> 157032, 197776, 209463, 16426, 65080, 4138, 5319867, ~
## $ `11/25/21` <dbl> 157144, 198292, 209624, 16566, 65105, 4141, 5322127, ~
## $ `11/26/21` <dbl> 157171, 198732, 209817, 16712, 65130, 4141, 5324039, ~
## $ `11/27/21` <dbl> 157190, 199137, 209980, 16712, 65139, 4141, 5325560, ~
## $ `11/28/21` <dbl> 157218, 199555, 210152, 16712, 65144, 4141, 5326448, ~
## $ `11/29/21` <dbl> 157260, 199750, 210344, 16712, 65155, 4141, 5328416, ~
## $ `11/30/21` <dbl> 157289, 199945, 210531, 17115, 65168, 4141, 5330748, ~
## $ `12/1/21` <dbl> 157359, 200173, 210723, 17426, 65183, 4141, 5332629, ~
## $ `12/2/21` <dbl> 157387, 200639, 210921, 17658, 65208, 4141, 5335310, ~
## $ `12/3/21` <dbl> 157412, 201045, 211112, 18010, 65223, 4146, 5337692, ~
## $ `12/4/21` <dbl> 157431, 201402, 211297, 18010, 65244, 4147, 5339382, ~
## $ `12/5/21` <dbl> 157454, 201730, 211469, 18010, 65259, 4147, 5340676, ~
## $ `12/6/21` <dbl> 157499, 201902, 211662, 18631, 65259, 4148, 5343153, ~
## $ `12/7/21` <dbl> 157508, 202295, 211859, 18815, 65301, 4148, 5346242, ~
## $ `12/8/21` <dbl> 157542, 202641, 212047, 18815, 65332, 4151, 5348123, ~
## $ `12/9/21` <dbl> 157585, 202863, 212224, 19272, 65346, 4151, 5350867, ~
## $ `12/10/21` <dbl> 157603, 203215, 212434, 19440, 65371, 4159, 5354440, ~
## $ `12/11/21` <dbl> 157611, 203524, 212652, 19440, 65397, 4159, 5356885, ~
## $ `12/12/21` <dbl> 157633, 203787, 212848, 19440, 65404, 4162, 5358455, ~
## $ `12/13/21` <dbl> 157648, 203925, 213058, 19440, 65404, 4162, 5358455, ~
## $ `12/14/21` <dbl> 157660, 204301, 213288, 20136, 65431, 4177, 5366522, ~
## $ `12/15/21` <dbl> 157665, 204627, 213533, 20136, 65565, 4177, 5371341, ~
## $ `12/16/21` <dbl> 157725, 204928, 213745, 20549, 65648, 4178, 5376642, ~
## $ `12/17/21` <dbl> 157734, 205224, 214044, 20549, 65760, 4186, 5382290, ~
## $ `12/18/21` <dbl> 157745, 205549, 214330, 20549, 65868, 4198, 5386453, ~
## $ `12/19/21` <dbl> 157787, 205777, 214592, 20549, 65938, 4198, 5389707, ~
## $ `12/20/21` <dbl> 157797, 205897, 214835, 21062, 66086, 4198, 5395044, ~
## $ `12/21/21` <dbl> 157816, 206273, 215145, 21062, 66566, 4201, 5404380, ~
## $ `12/22/21` <dbl> 157841, 206616, 215430, 21372, 67199, 4205, 5415501, ~
## $ `12/23/21` <dbl> 157878, 206935, 215723, 21571, 68362, 4216, 5428957, ~
## $ `12/24/21` <dbl> 157887, 207221, 216098, 21730, 70221, 4216, 5445236, ~
## $ `12/25/21` <dbl> 157895, 207542, 216376, 21730, 71142, 4236, 5452419, ~
## $ `12/26/21` <dbl> 157951, 207709, 216637, 21730, 71752, 4236, 5460042, ~
#---------------
# RENAME COLUMNS
#---------------
covid_data_RAW %>%
rename('subregion' = `Province/State`
,'country' = 'Country/Region'
,'lat' = 'Lat'
,'long' = 'Long'
) ->
covid_data
covid_data %>%
pivot_longer(cols = -one_of('country','subregion','lat','long')
,names_to = 'date'
,values_to = 'confirmed'
) ->
covid_data
head(covid_data)
## # A tibble: 6 x 6
## subregion country lat long date confirmed
## <chr> <chr> <dbl> <dbl> <chr> <dbl>
## 1 <NA> Afghanistan 33.9 67.7 1/22/20 0
## 2 <NA> Afghanistan 33.9 67.7 1/23/20 0
## 3 <NA> Afghanistan 33.9 67.7 1/24/20 0
## 4 <NA> Afghanistan 33.9 67.7 1/25/20 0
## 5 <NA> Afghanistan 33.9 67.7 1/26/20 0
## 6 <NA> Afghanistan 33.9 67.7 1/27/20 0
#================
# REORDER COLUMNS
#================
covid_data %>%
select(country, subregion, everything()) ->
covid_data
covid_data %>%
select(date)
## # A tibble: 197,400 x 1
## date
## <chr>
## 1 1/22/20
## 2 1/23/20
## 3 1/24/20
## 4 1/25/20
## 5 1/26/20
## 6 1/27/20
## 7 1/28/20
## 8 1/29/20
## 9 1/30/20
## 10 1/31/20
## # ... with 197,390 more rows
#-------------
# CONVERT DATE
#-------------
covid_data %>%
mutate(date = mdy(date)) ->
covid_data
head(covid_data)
## # A tibble: 6 x 6
## country subregion lat long date confirmed
## <chr> <chr> <dbl> <dbl> <date> <dbl>
## 1 Afghanistan <NA> 33.9 67.7 2020-01-22 0
## 2 Afghanistan <NA> 33.9 67.7 2020-01-23 0
## 3 Afghanistan <NA> 33.9 67.7 2020-01-24 0
## 4 Afghanistan <NA> 33.9 67.7 2020-01-25 0
## 5 Afghanistan <NA> 33.9 67.7 2020-01-26 0
## 6 Afghanistan <NA> 33.9 67.7 2020-01-27 0
#=====================
# SORT & REARANGE DATA
#=====================
covid_data %>%
select(country, subregion, date, lat, long, confirmed) %>%
arrange(country, subregion, date) ->
covid_data
print(covid_data)
## # A tibble: 197,400 x 6
## country subregion date lat long confirmed
## <chr> <chr> <date> <dbl> <dbl> <dbl>
## 1 Afghanistan <NA> 2020-01-22 33.9 67.7 0
## 2 Afghanistan <NA> 2020-01-23 33.9 67.7 0
## 3 Afghanistan <NA> 2020-01-24 33.9 67.7 0
## 4 Afghanistan <NA> 2020-01-25 33.9 67.7 0
## 5 Afghanistan <NA> 2020-01-26 33.9 67.7 0
## 6 Afghanistan <NA> 2020-01-27 33.9 67.7 0
## 7 Afghanistan <NA> 2020-01-28 33.9 67.7 0
## 8 Afghanistan <NA> 2020-01-29 33.9 67.7 0
## 9 Afghanistan <NA> 2020-01-30 33.9 67.7 0
## 10 Afghanistan <NA> 2020-01-31 33.9 67.7 0
## # ... with 197,390 more rows
# GET COUNTRY NAMES
covid_data %>%
select(country) %>%
unique() #%>% print(n = 200)
## # A tibble: 196 x 1
## country
## <chr>
## 1 Afghanistan
## 2 Albania
## 3 Algeria
## 4 Andorra
## 5 Angola
## 6 Antigua and Barbuda
## 7 Argentina
## 8 Armenia
## 9 Australia
## 10 Austria
## # ... with 186 more rows
# PULL DATA FOR UNITED STATES
#-----------
# SPOT CHECK
#-----------
covid_data %>%
select(country, date, confirmed) %>%
filter(country == 'US') %>%
group_by(country, date) %>%
summarise(confirmed = sum(confirmed))
## `summarise()` has grouped output by 'country'. You can override using the `.groups` argument.
## # A tibble: 705 x 3
## # Groups: country [1]
## country date confirmed
## <chr> <date> <dbl>
## 1 US 2020-01-22 1
## 2 US 2020-01-23 1
## 3 US 2020-01-24 2
## 4 US 2020-01-25 2
## 5 US 2020-01-26 5
## 6 US 2020-01-27 5
## 7 US 2020-01-28 5
## 8 US 2020-01-29 6
## 9 US 2020-01-30 6
## 10 US 2020-01-31 8
## # ... with 695 more rows
covid_rename_columns <- function(input_data){
input_data %>%
rename('subregion' = 'Province/State'
,'country' = 'Country/Region'
,'lat' = 'Lat'
,'long' = 'Long'
) ->
output_data
return(output_data)
}
glimpse(covid_data_RAW)
## Rows: 280
## Columns: 709
## $ `Province/State` <chr> NA, NA, NA, NA, NA, NA, NA, NA, "Australian Capital T~
## $ `Country/Region` <chr> "Afghanistan", "Albania", "Algeria", "Andorra", "Ango~
## $ Lat <dbl> 33.93911, 41.15330, 28.03390, 42.50630, -11.20270, 17~
## $ Long <dbl> 67.709953, 20.168300, 1.659600, 1.521800, 17.873900, ~
## $ `1/22/20` <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,~
## $ `1/23/20` <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,~
## $ `1/24/20` <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,~
## $ `1/25/20` <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,~
## $ `1/26/20` <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 1, 0, 0, 0,~
## $ `1/27/20` <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 1, 0, 0, 0,~
## $ `1/28/20` <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 1, 0, 0, 0,~
## $ `1/29/20` <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 1, 0, 0, 1, 0, 0, 0,~
## $ `1/30/20` <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 3, 0, 0, 2, 0, 0, 0,~
## $ `1/31/20` <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 2, 0, 0, 3, 0, 0, 0,~
## $ `2/1/20` <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 3, 1, 0, 4, 0, 0, 0,~
## $ `2/2/20` <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 2, 2, 0, 4, 0, 0, 0,~
## $ `2/3/20` <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 2, 2, 0, 4, 0, 0, 0,~
## $ `2/4/20` <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 3, 2, 0, 4, 0, 0, 0,~
## $ `2/5/20` <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 3, 2, 0, 4, 0, 0, 0,~
## $ `2/6/20` <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 4, 2, 0, 4, 0, 0, 0,~
## $ `2/7/20` <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 5, 2, 0, 4, 0, 0, 0,~
## $ `2/8/20` <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 5, 2, 0, 4, 0, 0, 0,~
## $ `2/9/20` <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 5, 2, 0, 4, 0, 0, 0,~
## $ `2/10/20` <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 5, 2, 0, 4, 0, 0, 0,~
## $ `2/11/20` <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 5, 2, 0, 4, 0, 0, 0,~
## $ `2/12/20` <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 5, 2, 0, 4, 0, 0, 0,~
## $ `2/13/20` <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 5, 2, 0, 4, 0, 0, 0,~
## $ `2/14/20` <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 5, 2, 0, 4, 0, 0, 0,~
## $ `2/15/20` <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 5, 2, 0, 4, 0, 0, 0,~
## $ `2/16/20` <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 5, 2, 0, 4, 0, 0, 0,~
## $ `2/17/20` <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 5, 2, 0, 4, 0, 0, 0,~
## $ `2/18/20` <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 5, 2, 0, 4, 0, 0, 0,~
## $ `2/19/20` <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 5, 2, 0, 4, 0, 0, 0,~
## $ `2/20/20` <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 5, 2, 0, 4, 0, 0, 0,~
## $ `2/21/20` <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 5, 2, 0, 4, 0, 0, 0,~
## $ `2/22/20` <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 5, 2, 0, 4, 0, 0, 0,~
## $ `2/23/20` <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 5, 2, 0, 4, 0, 0, 0,~
## $ `2/24/20` <dbl> 5, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 5, 2, 0, 4, 0, 0, 0,~
## $ `2/25/20` <dbl> 5, 0, 1, 0, 0, 0, 0, 0, 0, 4, 0, 5, 2, 0, 4, 0, 2, 0,~
## $ `2/26/20` <dbl> 5, 0, 1, 0, 0, 0, 0, 0, 0, 4, 0, 5, 2, 0, 4, 0, 2, 0,~
## $ `2/27/20` <dbl> 5, 0, 1, 0, 0, 0, 0, 0, 0, 4, 0, 5, 2, 0, 4, 0, 3, 0,~
## $ `2/28/20` <dbl> 5, 0, 1, 0, 0, 0, 0, 0, 0, 4, 0, 5, 2, 0, 4, 0, 3, 0,~
## $ `2/29/20` <dbl> 5, 0, 1, 0, 0, 0, 0, 0, 0, 4, 0, 9, 3, 0, 7, 2, 9, 0,~
## $ `3/1/20` <dbl> 5, 0, 1, 0, 0, 0, 0, 1, 0, 6, 0, 9, 3, 0, 7, 2, 14, 3~
## $ `3/2/20` <dbl> 5, 0, 3, 1, 0, 0, 0, 1, 0, 6, 0, 9, 3, 1, 9, 2, 18, 3~
## $ `3/3/20` <dbl> 5, 0, 5, 1, 0, 0, 1, 1, 0, 13, 0, 11, 3, 1, 9, 2, 21,~
## $ `3/4/20` <dbl> 5, 0, 12, 1, 0, 0, 1, 1, 0, 22, 1, 11, 5, 1, 10, 2, 2~
## $ `3/5/20` <dbl> 5, 0, 12, 1, 0, 0, 1, 1, 0, 22, 1, 13, 5, 1, 10, 3, 4~
## $ `3/6/20` <dbl> 5, 0, 17, 1, 0, 0, 2, 1, 0, 26, 0, 13, 7, 1, 10, 3, 5~
## $ `3/7/20` <dbl> 8, 0, 17, 1, 0, 0, 8, 1, 0, 28, 0, 13, 7, 1, 11, 3, 7~
## $ `3/8/20` <dbl> 8, 0, 19, 1, 0, 0, 12, 1, 0, 38, 0, 15, 7, 2, 11, 3, ~
## $ `3/9/20` <dbl> 8, 2, 20, 1, 0, 0, 12, 1, 0, 48, 0, 15, 7, 2, 15, 4, ~
## $ `3/10/20` <dbl> 8, 10, 20, 1, 0, 0, 17, 1, 0, 55, 1, 18, 7, 2, 18, 6,~
## $ `3/11/20` <dbl> 11, 12, 20, 1, 0, 0, 19, 1, 0, 65, 1, 20, 9, 3, 21, 9~
## $ `3/12/20` <dbl> 11, 23, 24, 1, 0, 0, 19, 4, 0, 65, 1, 20, 9, 3, 21, 9~
## $ `3/13/20` <dbl> 11, 33, 26, 1, 0, 1, 31, 8, 1, 92, 1, 35, 16, 5, 36, ~
## $ `3/14/20` <dbl> 14, 38, 37, 1, 0, 1, 34, 18, 1, 112, 1, 46, 19, 5, 49~
## $ `3/15/20` <dbl> 20, 42, 48, 1, 0, 1, 45, 26, 1, 134, 1, 61, 20, 6, 57~
## $ `3/16/20` <dbl> 25, 51, 54, 2, 0, 1, 56, 52, 2, 171, 1, 68, 29, 7, 71~
## $ `3/17/20` <dbl> 26, 55, 60, 39, 0, 1, 68, 78, 2, 210, 1, 78, 29, 7, 9~
## $ `3/18/20` <dbl> 26, 59, 74, 39, 0, 1, 79, 84, 3, 267, 1, 94, 37, 10, ~
## $ `3/19/20` <dbl> 26, 64, 87, 53, 0, 1, 97, 115, 4, 307, 1, 144, 42, 10~
## $ `3/20/20` <dbl> 24, 70, 90, 75, 1, 1, 128, 136, 6, 353, 3, 184, 50, 1~
## $ `3/21/20` <dbl> 24, 76, 139, 88, 2, 1, 158, 160, 9, 436, 3, 221, 67, ~
## $ `3/22/20` <dbl> 34, 89, 201, 113, 2, 1, 266, 194, 19, 669, 5, 259, 10~
## $ `3/23/20` <dbl> 40, 104, 230, 133, 3, 3, 301, 235, 32, 669, 5, 319, 1~
## $ `3/24/20` <dbl> 42, 123, 264, 164, 3, 3, 387, 249, 39, 818, 6, 397, 1~
## $ `3/25/20` <dbl> 74, 146, 302, 188, 3, 3, 387, 265, 39, 1029, 6, 443, ~
## $ `3/26/20` <dbl> 80, 174, 367, 224, 4, 7, 502, 290, 53, 1219, 12, 493,~
## $ `3/27/20` <dbl> 91, 186, 409, 267, 4, 7, 589, 329, 62, 1405, 12, 555,~
## $ `3/28/20` <dbl> 106, 197, 454, 308, 5, 7, 690, 407, 71, 1617, 15, 625~
## $ `3/29/20` <dbl> 114, 212, 511, 334, 7, 7, 745, 424, 77, 1791, 15, 656~
## $ `3/30/20` <dbl> 114, 223, 584, 370, 7, 7, 820, 482, 78, 2032, 15, 689~
## $ `3/31/20` <dbl> 166, 243, 716, 376, 7, 7, 1054, 532, 80, 2032, 17, 74~
## $ `4/1/20` <dbl> 192, 259, 847, 390, 8, 7, 1054, 571, 84, 2182, 19, 78~
## $ `4/2/20` <dbl> 235, 277, 986, 428, 8, 9, 1133, 663, 87, 2298, 21, 83~
## $ `4/3/20` <dbl> 269, 304, 1171, 439, 8, 15, 1265, 736, 91, 2389, 22, ~
## $ `4/4/20` <dbl> 270, 333, 1251, 466, 10, 15, 1451, 770, 93, 2493, 26,~
## $ `4/5/20` <dbl> 299, 361, 1320, 501, 14, 15, 1451, 822, 96, 2580, 27,~
## $ `4/6/20` <dbl> 337, 377, 1423, 525, 16, 15, 1554, 833, 96, 2637, 28,~
## $ `4/7/20` <dbl> 367, 383, 1468, 545, 17, 19, 1628, 853, 96, 2686, 28,~
## $ `4/8/20` <dbl> 423, 400, 1572, 564, 19, 19, 1715, 881, 99, 2734, 28,~
## $ `4/9/20` <dbl> 444, 409, 1666, 583, 19, 19, 1795, 921, 100, 2773, 28~
## $ `4/10/20` <dbl> 521, 416, 1761, 601, 19, 19, 1975, 937, 103, 2822, 28~
## $ `4/11/20` <dbl> 521, 433, 1825, 601, 19, 21, 1975, 967, 103, 2857, 28~
## $ `4/12/20` <dbl> 555, 446, 1914, 638, 19, 21, 2142, 1013, 103, 2857, 2~
## $ `4/13/20` <dbl> 607, 467, 1983, 646, 19, 23, 2208, 1039, 102, 2863, 2~
## $ `4/14/20` <dbl> 665, 475, 2070, 659, 19, 23, 2277, 1067, 103, 2870, 2~
## $ `4/15/20` <dbl> 770, 494, 2160, 673, 19, 23, 2443, 1111, 103, 2886, 2~
## $ `4/16/20` <dbl> 794, 518, 2268, 673, 19, 23, 2571, 1159, 103, 2897, 2~
## $ `4/17/20` <dbl> 845, 539, 2418, 696, 19, 23, 2669, 1201, 103, 2926, 2~
## $ `4/18/20` <dbl> 908, 548, 2534, 704, 24, 23, 2758, 1248, 103, 2936, 2~
## $ `4/19/20` <dbl> 933, 562, 2629, 713, 24, 23, 2839, 1291, 103, 2957, 2~
## $ `4/20/20` <dbl> 996, 584, 2718, 717, 24, 23, 2941, 1339, 104, 2963, 2~
## $ `4/21/20` <dbl> 1026, 609, 2811, 717, 24, 23, 3031, 1401, 104, 2969, ~
## $ `4/22/20` <dbl> 1092, 634, 2910, 723, 25, 24, 3144, 1473, 104, 2971, ~
## $ `4/23/20` <dbl> 1176, 663, 3007, 723, 25, 24, 3435, 1523, 104, 2976, ~
## $ `4/24/20` <dbl> 1226, 678, 3127, 731, 25, 24, 3607, 1596, 105, 2982, ~
## $ `4/25/20` <dbl> 1330, 712, 3256, 738, 25, 24, 3780, 1677, 106, 2994, ~
## $ `4/26/20` <dbl> 1463, 726, 3382, 738, 26, 24, 3892, 1746, 106, 3002, ~
## $ `4/27/20` <dbl> 1531, 736, 3517, 743, 27, 24, 4003, 1808, 106, 3004, ~
## $ `4/28/20` <dbl> 1703, 750, 3649, 743, 27, 24, 4127, 1867, 106, 3016, ~
## $ `4/29/20` <dbl> 1827, 766, 3848, 743, 27, 24, 4285, 1932, 106, 3016, ~
## $ `4/30/20` <dbl> 1827, 773, 4006, 745, 27, 24, 4428, 2066, 106, 3025, ~
## $ `5/1/20` <dbl> 2171, 782, 4154, 745, 30, 25, 4532, 2148, 106, 3030, ~
## $ `5/2/20` <dbl> 2469, 789, 4295, 747, 35, 25, 4681, 2273, 106, 3035, ~
## $ `5/3/20` <dbl> 2469, 795, 4474, 748, 35, 25, 4783, 2386, 106, 3033, ~
## $ `5/4/20` <dbl> 2469, 803, 4648, 750, 35, 25, 4887, 2507, 107, 3035, ~
## $ `5/5/20` <dbl> 2469, 820, 4838, 751, 36, 25, 5020, 2619, 107, 3042, ~
## $ `5/6/20` <dbl> 3224, 832, 4997, 751, 36, 25, 5208, 2782, 107, 3044, ~
## $ `5/7/20` <dbl> 3392, 842, 5182, 752, 36, 25, 5371, 2884, 107, 3047, ~
## $ `5/8/20` <dbl> 3563, 850, 5369, 752, 43, 25, 5611, 3029, 107, 3051, ~
## $ `5/9/20` <dbl> 3563, 856, 5558, 754, 43, 25, 5776, 3175, 107, 3053, ~
## $ `5/10/20` <dbl> 4402, 868, 5723, 755, 45, 25, 6034, 3313, 107, 3053, ~
## $ `5/11/20` <dbl> 4664, 872, 5891, 755, 45, 25, 6278, 3392, 107, 3053, ~
## $ `5/12/20` <dbl> 4967, 876, 6067, 758, 45, 25, 6563, 3538, 107, 3059, ~
## $ `5/13/20` <dbl> 4967, 880, 6253, 760, 45, 25, 6879, 3718, 107, 3063, ~
## $ `5/14/20` <dbl> 5339, 898, 6442, 761, 48, 25, 7134, 3860, 107, 3071, ~
## $ `5/15/20` <dbl> 6053, 916, 6629, 761, 48, 25, 7479, 4044, 107, 3074, ~
## $ `5/16/20` <dbl> 6402, 933, 6821, 761, 48, 25, 7805, 4283, 107, 3075, ~
## $ `5/17/20` <dbl> 6635, 946, 7019, 761, 48, 25, 8068, 4472, 107, 3076, ~
## $ `5/18/20` <dbl> 7072, 948, 7201, 761, 50, 25, 8371, 4823, 107, 3078, ~
## $ `5/19/20` <dbl> 7655, 949, 7377, 761, 52, 25, 8809, 5041, 107, 3081, ~
## $ `5/20/20` <dbl> 8145, 964, 7542, 762, 52, 25, 9283, 5271, 107, 3082, ~
## $ `5/21/20` <dbl> 8676, 969, 7728, 762, 58, 25, 9931, 5606, 107, 3084, ~
## $ `5/22/20` <dbl> 9216, 981, 7918, 762, 60, 25, 10649, 5928, 107, 3086,~
## $ `5/23/20` <dbl> 9952, 989, 8113, 762, 61, 25, 11353, 6302, 107, 3087,~
## $ `5/24/20` <dbl> 10668, 998, 8306, 762, 69, 25, 12076, 6661, 107, 3090~
## $ `5/25/20` <dbl> 11180, 1004, 8503, 763, 70, 25, 12628, 7113, 107, 309~
## $ `5/26/20` <dbl> 11917, 1029, 8697, 763, 70, 25, 13228, 7402, 107, 308~
## $ `5/27/20` <dbl> 12465, 1050, 8857, 763, 71, 25, 13933, 7774, 107, 309~
## $ `5/28/20` <dbl> 13102, 1076, 8997, 763, 74, 25, 14702, 8216, 107, 309~
## $ `5/29/20` <dbl> 13745, 1099, 9134, 764, 81, 25, 15419, 8676, 107, 309~
## $ `5/30/20` <dbl> 14529, 1122, 9267, 764, 84, 25, 16214, 8927, 107, 309~
## $ `5/31/20` <dbl> 15180, 1137, 9394, 764, 86, 26, 16851, 9282, 107, 309~
## $ `6/1/20` <dbl> 15836, 1143, 9513, 765, 86, 26, 17415, 9492, 107, 310~
## $ `6/2/20` <dbl> 16578, 1164, 9626, 844, 86, 26, 18319, 10009, 107, 31~
## $ `6/3/20` <dbl> 17353, 1184, 9733, 851, 86, 26, 19268, 10524, 107, 31~
## $ `6/4/20` <dbl> 17977, 1197, 9831, 852, 86, 26, 20197, 11221, 107, 31~
## $ `6/5/20` <dbl> 19055, 1212, 9935, 852, 86, 26, 21037, 11817, 107, 31~
## $ `6/6/20` <dbl> 19637, 1232, 10050, 852, 88, 26, 22020, 12364, 108, 3~
## $ `6/7/20` <dbl> 20428, 1246, 10154, 852, 91, 26, 22794, 13130, 108, 3~
## $ `6/8/20` <dbl> 21003, 1263, 10265, 852, 92, 26, 23620, 13325, 108, 3~
## $ `6/9/20` <dbl> 21308, 1299, 10382, 852, 96, 26, 24761, 13675, 108, 3~
## $ `6/10/20` <dbl> 22228, 1341, 10484, 852, 113, 26, 25987, 14103, 108, ~
## $ `6/11/20` <dbl> 22976, 1385, 10589, 852, 118, 26, 27373, 14669, 108, ~
## $ `6/12/20` <dbl> 23632, 1416, 10698, 853, 130, 26, 28764, 15281, 108, ~
## $ `6/13/20` <dbl> 24188, 1464, 10810, 853, 138, 26, 30295, 16004, 108, ~
## $ `6/14/20` <dbl> 24852, 1521, 10919, 853, 140, 26, 31577, 16667, 108, ~
## $ `6/15/20` <dbl> 25613, 1590, 11031, 853, 142, 26, 32785, 17064, 108, ~
## $ `6/16/20` <dbl> 25719, 1672, 11147, 854, 148, 26, 34159, 17489, 108, ~
## $ `6/17/20` <dbl> 26960, 1722, 11268, 854, 155, 26, 35552, 18033, 108, ~
## $ `6/18/20` <dbl> 27423, 1788, 11385, 855, 166, 26, 37510, 18698, 108, ~
## $ `6/19/20` <dbl> 27964, 1838, 11504, 855, 172, 26, 39570, 19157, 108, ~
## $ `6/20/20` <dbl> 28383, 1891, 11631, 855, 176, 26, 41204, 19708, 108, ~
## $ `6/21/20` <dbl> 28919, 1962, 11771, 855, 183, 26, 42785, 20268, 108, ~
## $ `6/22/20` <dbl> 29229, 1995, 11920, 855, 186, 26, 44931, 20588, 108, ~
## $ `6/23/20` <dbl> 29567, 2047, 12076, 855, 189, 26, 47203, 21006, 108, ~
## $ `6/24/20` <dbl> 29726, 2114, 12248, 855, 197, 26, 49851, 21717, 108, ~
## $ `6/25/20` <dbl> 30261, 2192, 12445, 855, 212, 65, 52457, 22488, 108, ~
## $ `6/26/20` <dbl> 30346, 2269, 12685, 855, 212, 65, 55343, 23247, 108, ~
## $ `6/27/20` <dbl> 30702, 2330, 12968, 855, 259, 65, 57744, 23909, 108, ~
## $ `6/28/20` <dbl> 31053, 2402, 13273, 855, 267, 69, 59933, 24645, 108, ~
## $ `6/29/20` <dbl> 31324, 2466, 13571, 855, 276, 69, 62268, 25127, 108, ~
## $ `6/30/20` <dbl> 31445, 2535, 13907, 855, 284, 69, 64530, 25542, 108, ~
## $ `7/1/20` <dbl> 31848, 2580, 14272, 855, 291, 69, 67197, 26065, 108, ~
## $ `7/2/20` <dbl> 32108, 2662, 14657, 855, 315, 69, 69941, 26658, 108, ~
## $ `7/3/20` <dbl> 32410, 2752, 15070, 855, 328, 68, 72786, 27320, 108, ~
## $ `7/4/20` <dbl> 32758, 2819, 15500, 855, 346, 68, 75376, 27900, 108, ~
## $ `7/5/20` <dbl> 33037, 2893, 15941, 855, 346, 68, 77815, 28606, 108, ~
## $ `7/6/20` <dbl> 33150, 2964, 16404, 855, 346, 70, 80447, 28936, 108, ~
## $ `7/7/20` <dbl> 33470, 3038, 16879, 855, 386, 70, 83426, 29285, 111, ~
## $ `7/8/20` <dbl> 33680, 3106, 17348, 855, 386, 70, 87030, 29820, 112, ~
## $ `7/9/20` <dbl> 33739, 3188, 17808, 855, 396, 73, 90693, 30346, 113, ~
## $ `7/10/20` <dbl> 34280, 3278, 18242, 855, 458, 74, 94060, 30903, 113, ~
## $ `7/11/20` <dbl> 34437, 3371, 18712, 855, 462, 74, 97509, 31392, 113, ~
## $ `7/12/20` <dbl> 34537, 3454, 19195, 855, 506, 74, 100166, 31969, 113,~
## $ `7/13/20` <dbl> 34541, 3571, 19689, 858, 525, 74, 103265, 32151, 113,~
## $ `7/14/20` <dbl> 34826, 3667, 20216, 861, 541, 74, 106910, 32490, 113,~
## $ `7/15/20` <dbl> 35026, 3752, 20770, 862, 576, 74, 111146, 33005, 113,~
## $ `7/16/20` <dbl> 35156, 3851, 21355, 877, 607, 74, 114783, 33559, 113,~
## $ `7/17/20` <dbl> 35315, 3906, 21948, 880, 638, 76, 119301, 34001, 113,~
## $ `7/18/20` <dbl> 35375, 4008, 22549, 880, 687, 76, 122524, 34462, 113,~
## $ `7/19/20` <dbl> 35561, 4090, 23084, 880, 705, 76, 126755, 34877, 113,~
## $ `7/20/20` <dbl> 35595, 4171, 23691, 884, 749, 76, 130774, 34981, 113,~
## $ `7/21/20` <dbl> 35701, 4290, 24278, 884, 779, 76, 136118, 35254, 113,~
## $ `7/22/20` <dbl> 35813, 4358, 24872, 889, 812, 76, 141900, 35693, 113,~
## $ `7/23/20` <dbl> 36001, 4466, 25484, 889, 851, 76, 148027, 36162, 113,~
## $ `7/24/20` <dbl> 36067, 4570, 26159, 897, 880, 82, 153520, 36613, 113,~
## $ `7/25/20` <dbl> 36122, 4637, 26764, 897, 916, 82, 158334, 36996, 113,~
## $ `7/26/20` <dbl> 36243, 4763, 27357, 897, 932, 82, 162526, 37317, 113,~
## $ `7/27/20` <dbl> 36349, 4880, 27973, 907, 950, 86, 167416, 37390, 113,~
## $ `7/28/20` <dbl> 36454, 4997, 28615, 907, 1000, 86, 173355, 37629, 113~
## $ `7/29/20` <dbl> 36557, 5105, 29229, 918, 1078, 91, 178996, 37937, 113~
## $ `7/30/20` <dbl> 36628, 5197, 29831, 922, 1109, 91, 185373, 38196, 113~
## $ `7/31/20` <dbl> 36628, 5276, 30394, 925, 1148, 91, 191302, 38550, 113~
## $ `8/1/20` <dbl> 36796, 5396, 30950, 925, 1164, 91, 196543, 38841, 113~
## $ `8/2/20` <dbl> 36796, 5519, 31465, 925, 1199, 91, 201919, 39050, 113~
## $ `8/3/20` <dbl> 36796, 5620, 31972, 937, 1280, 92, 206743, 39102, 113~
## $ `8/4/20` <dbl> 36833, 5750, 32504, 939, 1344, 92, 213535, 39298, 113~
## $ `8/5/20` <dbl> 36915, 5889, 33055, 939, 1395, 92, 220682, 39586, 113~
## $ `8/6/20` <dbl> 36982, 6016, 33626, 944, 1483, 92, 228195, 39819, 113~
## $ `8/7/20` <dbl> 37023, 6151, 34155, 955, 1538, 92, 235677, 39985, 113~
## $ `8/8/20` <dbl> 37101, 6275, 34693, 955, 1572, 92, 241811, 40185, 113~
## $ `8/9/20` <dbl> 37140, 6411, 35160, 955, 1672, 92, 246499, 40410, 113~
## $ `8/10/20` <dbl> 37140, 6536, 35712, 963, 1679, 92, 253868, 40433, 113~
## $ `8/11/20` <dbl> 37355, 6676, 36204, 963, 1735, 92, 260911, 40593, 113~
## $ `8/12/20` <dbl> 37431, 6817, 36699, 977, 1762, 92, 268574, 40794, 113~
## $ `8/13/20` <dbl> 37510, 6971, 37187, 981, 1815, 92, 276072, 41023, 113~
## $ `8/14/20` <dbl> 37517, 7117, 37664, 989, 1852, 93, 282437, 41299, 113~
## $ `8/15/20` <dbl> 37637, 7260, 38133, 989, 1879, 93, 289100, 41495, 113~
## $ `8/16/20` <dbl> 37682, 7380, 38583, 989, 1906, 93, 294569, 41663, 113~
## $ `8/17/20` <dbl> 37682, 7499, 39025, 1005, 1935, 93, 299126, 41701, 11~
## $ `8/18/20` <dbl> 37685, 7654, 39444, 1005, 1966, 93, 305966, 41846, 11~
## $ `8/19/20` <dbl> 37685, 7812, 39847, 1024, 2015, 94, 312659, 42056, 11~
## $ `8/20/20` <dbl> 37845, 7967, 40258, 1024, 2044, 94, 320884, 42319, 11~
## $ `8/21/20` <dbl> 37942, 8119, 40667, 1045, 2068, 94, 329043, 42477, 11~
## $ `8/22/20` <dbl> 37980, 8275, 41068, 1045, 2134, 94, 336802, 42616, 11~
## $ `8/23/20` <dbl> 38039, 8427, 41460, 1045, 2171, 94, 342154, 42792, 11~
## $ `8/24/20` <dbl> 38085, 8605, 41858, 1060, 2222, 94, 350867, 42825, 11~
## $ `8/25/20` <dbl> 38156, 8759, 42228, 1060, 2283, 94, 359638, 42936, 11~
## $ `8/26/20` <dbl> 38199, 8927, 42619, 1098, 2332, 94, 370188, 43067, 11~
## $ `8/27/20` <dbl> 38215, 9083, 43016, 1098, 2415, 94, 380292, 43270, 11~
## $ `8/28/20` <dbl> 38226, 9195, 43403, 1124, 2471, 94, 392009, 43451, 11~
## $ `8/29/20` <dbl> 38229, 9279, 43781, 1124, 2551, 94, 401239, 43626, 11~
## $ `8/30/20` <dbl> 38229, 9380, 44146, 1124, 2624, 94, 408426, 43750, 11~
## $ `8/31/20` <dbl> 38248, 9513, 44494, 1176, 2654, 94, 417735, 43781, 11~
## $ `9/1/20` <dbl> 38282, 9606, 44833, 1184, 2729, 94, 428239, 43878, 11~
## $ `9/2/20` <dbl> 38329, 9728, 45158, 1199, 2777, 94, 439172, 44075, 11~
## $ `9/3/20` <dbl> 38374, 9844, 45469, 1199, 2805, 95, 451198, 44271, 11~
## $ `9/4/20` <dbl> 38374, 9967, 45773, 1215, 2876, 95, 461882, 44461, 11~
## $ `9/5/20` <dbl> 38390, 10102, 46071, 1215, 2935, 95, 471806, 44649, 1~
## $ `9/6/20` <dbl> 38484, 10255, 46364, 1215, 2965, 95, 478792, 44783, 1~
## $ `9/7/20` <dbl> 38580, 10406, 46653, 1261, 2981, 95, 488007, 44845, 1~
## $ `9/8/20` <dbl> 38606, 10553, 46938, 1261, 3033, 95, 500034, 44953, 1~
## $ `9/9/20` <dbl> 38630, 10704, 47216, 1301, 3092, 95, 512293, 45152, 1~
## $ `9/10/20` <dbl> 38658, 10860, 47488, 1301, 3217, 95, 524198, 45326, 1~
## $ `9/11/20` <dbl> 38692, 11021, 47752, 1344, 3279, 95, 535705, 45503, 1~
## $ `9/12/20` <dbl> 38727, 11185, 48007, 1344, 3335, 95, 546481, 45675, 1~
## $ `9/13/20` <dbl> 38802, 11353, 48254, 1344, 3388, 95, 555537, 45862, 1~
## $ `9/14/20` <dbl> 38858, 11520, 48496, 1438, 3439, 95, 565446, 45969, 1~
## $ `9/15/20` <dbl> 38901, 11672, 48734, 1438, 3569, 95, 577338, 46119, 1~
## $ `9/16/20` <dbl> 38941, 11816, 48966, 1483, 3675, 95, 589012, 46376, 1~
## $ `9/17/20` <dbl> 38958, 11948, 49194, 1483, 3789, 95, 601713, 46671, 1~
## $ `9/18/20` <dbl> 38969, 12073, 49413, 1564, 3848, 95, 613658, 46910, 1~
## $ `9/19/20` <dbl> 39005, 12226, 49623, 1564, 3901, 96, 622934, 47154, 1~
## $ `9/20/20` <dbl> 39130, 12385, 49826, 1564, 3991, 96, 631365, 47431, 1~
## $ `9/21/20` <dbl> 39160, 12535, 50023, 1681, 4117, 96, 640147, 47552, 1~
## $ `9/22/20` <dbl> 39182, 12666, 50214, 1681, 4236, 96, 652174, 47667, 1~
## $ `9/23/20` <dbl> 39231, 12787, 50400, 1753, 4363, 97, 664799, 47877, 1~
## $ `9/24/20` <dbl> 39256, 12921, 50579, 1753, 4475, 97, 678266, 48251, 1~
## $ `9/25/20` <dbl> 39272, 13045, 50754, 1836, 4590, 98, 691235, 48643, 1~
## $ `9/26/20` <dbl> 39278, 13153, 50914, 1836, 4672, 98, 702484, 49072, 1~
## $ `9/27/20` <dbl> 39313, 13259, 51067, 1836, 4718, 101, 711325, 49400, ~
## $ `9/28/20` <dbl> 39325, 13391, 51213, 1966, 4797, 101, 723132, 49574, ~
## $ `9/29/20` <dbl> 39340, 13518, 51368, 1966, 4905, 101, 736609, 49901, ~
## $ `9/30/20` <dbl> 39354, 13649, 51530, 2050, 4972, 101, 751001, 50359, ~
## $ `10/1/20` <dbl> 39371, 13806, 51690, 2050, 5114, 101, 765002, 50850, ~
## $ `10/2/20` <dbl> 39376, 13965, 51847, 2110, 5211, 106, 779689, 51382, ~
## $ `10/3/20` <dbl> 39383, 14117, 51995, 2110, 5370, 107, 790818, 51925, ~
## $ `10/4/20` <dbl> 39427, 14266, 52136, 2110, 5402, 107, 798486, 52496, ~
## $ `10/5/20` <dbl> 39508, 14410, 52270, 2370, 5530, 107, 809728, 52677, ~
## $ `10/6/20` <dbl> 39572, 14568, 52399, 2370, 5725, 107, 824468, 53083, ~
## $ `10/7/20` <dbl> 39634, 14730, 52520, 2568, 5725, 108, 840915, 53755, ~
## $ `10/8/20` <dbl> 39702, 14899, 52658, 2568, 5958, 111, 856369, 54473, ~
## $ `10/9/20` <dbl> 39779, 15066, 52804, 2696, 6031, 111, 871468, 55087, ~
## $ `10/10/20` <dbl> 39789, 15231, 52940, 2696, 6246, 111, 883882, 55736, ~
## $ `10/11/20` <dbl> 39885, 15399, 53072, 2696, 6366, 111, 894206, 56451, ~
## $ `10/12/20` <dbl> 39956, 15570, 53325, 2995, 6488, 111, 903730, 56821, ~
## $ `10/13/20` <dbl> 40014, 15752, 53399, 2995, 6680, 111, 917035, 57566, ~
## $ `10/14/20` <dbl> 40080, 15955, 53584, 3190, 6846, 112, 931967, 58624, ~
## $ `10/15/20` <dbl> 40112, 16212, 53777, 3190, 7096, 112, 949063, 59995, ~
## $ `10/16/20` <dbl> 40159, 16501, 53998, 3377, 7222, 112, 965609, 61460, ~
## $ `10/17/20` <dbl> 40227, 16774, 54203, 3377, 7462, 119, 979119, 63000, ~
## $ `10/18/20` <dbl> 40286, 17055, 54402, 3377, 7622, 119, 989680, 64694, ~
## $ `10/19/20` <dbl> 40373, 17350, 54616, 3623, 7829, 119, 1002662, 65460,~
## $ `10/20/20` <dbl> 40461, 17651, 54829, 3623, 8049, 119, 1018999, 66694,~
## $ `10/21/20` <dbl> 40461, 17948, 55081, 3811, 8338, 122, 1037325, 68530,~
## $ `10/22/20` <dbl> 40510, 18250, 55357, 3811, 8582, 122, 1053650, 70836,~
## $ `10/23/20` <dbl> 40626, 18556, 55630, 4038, 8829, 122, 1069368, 73310,~
## $ `10/24/20` <dbl> 40687, 18858, 55880, 4038, 9026, 124, 1081336, 75523,~
## $ `10/25/20` <dbl> 40768, 19157, 56143, 4038, 9381, 124, 1090589, 77837,~
## $ `10/26/20` <dbl> 40833, 19445, 56419, 4325, 9644, 124, 1102301, 78810,~
## $ `10/27/20` <dbl> 40937, 19729, 56706, 4410, 9871, 124, 1116609, 80410,~
## $ `10/28/20` <dbl> 41032, 20040, 57026, 4517, 10074, 124, 1130533, 82651~
## $ `10/29/20` <dbl> 41145, 20315, 57332, 4567, 10269, 124, 1143800, 85034~
## $ `10/30/20` <dbl> 41268, 20634, 57651, 4665, 10558, 127, 1157179, 87432~
## $ `10/31/20` <dbl> 41334, 20875, 57942, 4756, 10805, 128, 1166924, 89813~
## $ `11/1/20` <dbl> 41425, 21202, 58272, 4825, 11035, 128, 1173533, 92254~
## $ `11/2/20` <dbl> 41501, 21523, 58574, 4888, 11228, 128, 1183131, 93448~
## $ `11/3/20` <dbl> 41633, 21904, 58979, 4910, 11577, 128, 1195276, 94776~
## $ `11/4/20` <dbl> 41728, 22300, 59527, 5045, 11813, 130, 1205928, 97150~
## $ `11/5/20` <dbl> 41814, 22721, 60169, 5135, 12102, 130, 1217028, 99563~
## $ `11/6/20` <dbl> 41935, 23210, 60800, 5135, 12223, 130, 1228814, 10177~
## $ `11/7/20` <dbl> 41975, 23705, 61381, 5319, 12335, 131, 1236851, 10424~
## $ `11/8/20` <dbl> 42033, 24206, 62051, 5383, 12433, 131, 1242182, 10642~
## $ `11/9/20` <dbl> 42159, 24731, 62693, 5437, 12680, 131, 1250499, 10746~
## $ `11/10/20` <dbl> 42297, 25294, 63446, 5477, 12816, 131, 1262476, 10868~
## $ `11/11/20` <dbl> 42463, 25801, 64257, 5567, 12953, 131, 1273356, 11054~
## $ `11/12/20` <dbl> 42609, 26211, 65108, 5616, 13053, 131, 1284519, 11268~
## $ `11/13/20` <dbl> 42795, 26701, 65975, 5725, 13228, 133, 1296378, 11438~
## $ `11/14/20` <dbl> 42969, 27233, 66819, 5725, 13374, 134, 1304846, 11585~
## $ `11/15/20` <dbl> 43035, 27830, 67679, 5872, 13451, 134, 1310491, 11733~
## $ `11/16/20` <dbl> 43240, 28432, 68589, 5914, 13615, 134, 1318384, 11788~
## $ `11/17/20` <dbl> 43403, 29126, 69591, 5951, 13818, 134, 1329005, 11887~
## $ `11/18/20` <dbl> 43628, 29837, 70629, 6018, 13922, 139, 1339337, 12045~
## $ `11/19/20` <dbl> 43851, 30623, 71652, 6066, 14134, 139, 1349434, 12197~
## $ `11/20/20` <dbl> 44228, 31459, 72755, 6142, 14267, 139, 1359042, 12364~
## $ `11/21/20` <dbl> 44443, 32196, 73774, 6207, 14413, 139, 1366182, 12483~
## $ `11/22/20` <dbl> 44503, 32761, 74862, 6256, 14493, 139, 1370366, 12622~
## $ `11/23/20` <dbl> 44706, 33556, 75867, 6304, 14634, 139, 1374631, 12670~
## $ `11/24/20` <dbl> 44988, 34300, 77000, 6351, 14742, 139, 1381795, 12752~
## $ `11/25/20` <dbl> 45278, 34944, 78025, 6428, 14821, 140, 1390388, 12908~
## $ `11/26/20` <dbl> 45490, 35600, 79110, 6534, 14920, 141, 1399431, 13087~
## $ `11/27/20` <dbl> 45716, 36245, 80168, 6610, 15008, 141, 1407277, 13234~
## $ `11/28/20` <dbl> 45839, 36790, 81212, 6610, 15087, 141, 1413375, 13359~
## $ `11/29/20` <dbl> 45966, 37625, 82221, 6712, 15103, 141, 1418807, 13476~
## $ `11/30/20` <dbl> 46215, 38182, 83199, 6745, 15139, 141, 1424533, 13512~
## $ `12/1/20` <dbl> 46498, 39014, 84152, 6790, 15251, 142, 1432570, 13596~
## $ `12/2/20` <dbl> 46717, 39719, 85084, 6842, 15319, 144, 1440103, 13723~
## $ `12/3/20` <dbl> 46980, 40501, 85927, 6904, 15361, 144, 1447732, 13850~
## $ `12/4/20` <dbl> 47258, 41302, 86730, 6955, 15493, 144, 1454631, 13969~
## $ `12/5/20` <dbl> 47388, 42148, 87502, 7005, 15536, 144, 1459832, 14095~
## $ `12/6/20` <dbl> 47641, 42988, 88252, 7050, 15591, 144, 1463110, 14193~
## $ `12/7/20` <dbl> 47901, 43683, 88825, 7084, 15648, 146, 1466309, 14234~
## $ `12/8/20` <dbl> 48136, 44436, 89416, 7127, 15729, 146, 1469919, 14292~
## $ `12/9/20` <dbl> 48366, 45188, 90014, 7162, 15804, 146, 1475222, 14406~
## $ `12/10/20` <dbl> 48540, 46061, 90579, 7190, 15925, 146, 1482216, 14524~
## $ `12/11/20` <dbl> 48753, 46863, 91121, 7236, 16061, 147, 1489328, 14631~
## $ `12/12/20` <dbl> 48826, 47742, 91638, 7288, 16161, 148, 1494602, 14731~
## $ `12/13/20` <dbl> 48952, 48530, 92102, 7338, 16188, 148, 1498160, 14832~
## $ `12/14/20` <dbl> 49273, 49191, 92597, 7382, 16277, 148, 1503222, 14868~
## $ `12/15/20` <dbl> 49484, 50000, 93065, 7382, 16362, 148, 1510203, 14912~
## $ `12/16/20` <dbl> 49703, 50637, 93507, 7446, 16407, 151, 1517046, 15021~
## $ `12/17/20` <dbl> 49927, 51424, 93933, 7466, 16484, 151, 1524372, 15139~
## $ `12/18/20` <dbl> 50202, 52004, 94371, 7519, 16562, 152, 1531374, 15225~
## $ `12/19/20` <dbl> 50456, 52542, 94781, 7560, 16626, 152, 1537169, 15317~
## $ `12/20/20` <dbl> 50536, 53003, 95203, 7577, 16644, 153, 1541285, 15382~
## $ `12/21/20` <dbl> 50678, 53425, 95659, 7602, 16686, 153, 1547138, 15406~
## $ `12/22/20` <dbl> 50888, 53814, 96069, 7633, 16802, 153, 1555279, 15460~
## $ `12/23/20` <dbl> 51070, 54317, 96549, 7669, 16931, 154, 1563865, 15544~
## $ `12/24/20` <dbl> 51357, 54827, 97007, 7699, 17029, 154, 1563865, 15614~
## $ `12/25/20` <dbl> 51595, 55380, 97441, 7756, 17099, 155, 1574554, 15676~
## $ `12/26/20` <dbl> 51764, 55755, 97857, 7806, 17149, 155, 1578267, 15734~
## $ `12/27/20` <dbl> 51848, 56254, 98249, 7821, 17240, 155, 1583297, 15783~
## $ `12/28/20` <dbl> 52007, 56572, 98631, 7875, 17296, 158, 1590513, 15794~
## $ `12/29/20` <dbl> 52147, 57146, 98988, 7919, 17371, 158, 1602163, 15829~
## $ `12/30/20` <dbl> 52330, 57727, 99311, 7983, 17433, 158, 1613928, 15887~
## $ `12/31/20` <dbl> 52330, 58316, 99610, 8049, 17553, 159, 1625514, 15940~
## $ `1/1/21` <dbl> 52513, 58316, 99897, 8117, 17568, 159, 1629594, 15973~
## $ `1/2/21` <dbl> 52586, 58991, 100159, 8166, 17608, 159, 1634834, 1597~
## $ `1/3/21` <dbl> 52709, 59438, 100408, 8192, 17642, 160, 1640718, 1600~
## $ `1/4/21` <dbl> 52909, 59623, 100645, 8249, 17684, 160, 1648940, 1602~
## $ `1/5/21` <dbl> 53011, 60283, 100873, 8308, 17756, 160, 1662730, 1605~
## $ `1/6/21` <dbl> 53105, 61008, 101120, 8348, 17864, 163, 1676171, 1608~
## $ `1/7/21` <dbl> 53207, 61705, 101382, 8348, 17974, 163, 1690006, 1610~
## $ `1/8/21` <dbl> 53332, 62378, 101657, 8489, 18066, 167, 1703352, 1614~
## $ `1/9/21` <dbl> 53400, 63033, 101913, 8586, 18156, 169, 1714409, 1617~
## $ `1/10/21` <dbl> 53489, 63595, 102144, 8586, 18193, 176, 1722217, 1621~
## $ `1/11/21` <dbl> 53538, 63971, 102369, 8586, 18254, 176, 1730921, 1622~
## $ `1/12/21` <dbl> 53584, 64627, 102641, 8682, 18343, 176, 1744704, 1626~
## $ `1/13/21` <dbl> 53690, 65334, 102860, 8818, 18425, 176, 1757429, 1631~
## $ `1/14/21` <dbl> 53775, 65994, 103127, 8868, 18613, 184, 1770715, 1635~
## $ `1/15/21` <dbl> 53831, 66635, 103381, 8946, 18679, 184, 1783047, 1639~
## $ `1/16/21` <dbl> 53938, 67216, 103611, 9038, 18765, 187, 1791979, 1642~
## $ `1/17/21` <dbl> 53984, 67690, 103833, 9083, 18875, 189, 1799243, 1645~
## $ `1/18/21` <dbl> 54062, 67982, 104092, 9083, 18926, 189, 1807428, 1646~
## $ `1/19/21` <dbl> 54141, 68568, 104341, 9194, 19011, 190, 1819569, 1649~
## $ `1/20/21` <dbl> 54278, 69238, 104606, 9308, 19093, 190, 1831681, 1652~
## $ `1/21/21` <dbl> 54403, 69916, 104852, 9379, 19177, 192, 1843077, 1655~
## $ `1/22/21` <dbl> 54483, 70655, 105124, 9416, 19269, 195, 1853830, 1657~
## $ `1/23/21` <dbl> 54559, 71441, 105369, 9499, 19367, 195, 1862192, 1659~
## $ `1/24/21` <dbl> 54595, 72274, 105596, 9549, 19399, 198, 1867223, 1660~
## $ `1/25/21` <dbl> 54672, 72812, 105854, 9596, 19476, 201, 1874801, 1660~
## $ `1/26/21` <dbl> 54750, 73691, 106097, 9638, 19553, 201, 1885210, 1662~
## $ `1/27/21` <dbl> 54854, 74567, 106359, 9716, 19580, 215, 1896053, 1664~
## $ `1/28/21` <dbl> 54891, 75454, 106610, 9779, 19672, 215, 1905524, 1666~
## $ `1/29/21` <dbl> 54939, 76350, 106887, 9837, 19723, 218, 1915362, 1667~
## $ `1/30/21` <dbl> 55008, 77251, 107122, 9885, 19782, 218, 1922264, 1669~
## $ `1/31/21` <dbl> 55023, 78127, 107339, 9937, 19796, 234, 1927239, 1670~
## $ `2/1/21` <dbl> 55059, 78992, 107578, 9972, 19829, 234, 1933853, 1670~
## $ `2/2/21` <dbl> 55121, 79934, 107841, 10017, 19900, 249, 1943548, 167~
## $ `2/3/21` <dbl> 55174, 80941, 108116, 10070, 19937, 249, 1952744, 167~
## $ `2/4/21` <dbl> 55231, 81993, 108381, 10137, 19996, 268, 1961635, 167~
## $ `2/5/21` <dbl> 55265, 83082, 108629, 10172, 20030, 277, 1970009, 167~
## $ `2/6/21` <dbl> 55330, 84212, 108629, 10206, 20062, 288, 1976689, 167~
## $ `2/7/21` <dbl> 55335, 85336, 109088, 10251, 20086, 299, 1980347, 168~
## $ `2/8/21` <dbl> 55359, 86289, 109313, 10275, 20112, 316, 1985501, 168~
## $ `2/9/21` <dbl> 55384, 87528, 109559, 10312, 20163, 316, 1993295, 168~
## $ `2/10/21` <dbl> 55402, 88671, 109782, 10352, 20210, 350, 2001034, 168~
## $ `2/11/21` <dbl> 55420, 89776, 110049, 10391, 20261, 381, 2008345, 168~
## $ `2/12/21` <dbl> 55445, 90835, 110303, 10427, 20294, 419, 2015496, 168~
## $ `2/13/21` <dbl> 55473, 91987, 110513, 10463, 20329, 427, 2021553, 169~
## $ `2/14/21` <dbl> 55492, 93075, 110711, 10503, 20366, 427, 2025798, 169~
## $ `2/15/21` <dbl> 55514, 93850, 110894, 10538, 20381, 443, 2029057, 169~
## $ `2/16/21` <dbl> 55518, 94651, 111069, 10555, 20389, 443, 2033060, 169~
## $ `2/17/21` <dbl> 55540, 95726, 111247, 10583, 20400, 525, 2039124, 169~
## $ `2/18/21` <dbl> 55557, 96838, 111418, 10610, 20452, 548, 2046795, 169~
## $ `2/19/21` <dbl> 55575, 97909, 111600, 10645, 20478, 548, 2054681, 170~
## $ `2/20/21` <dbl> 55580, 99062, 111764, 10672, 20499, 598, 2060625, 170~
## $ `2/21/21` <dbl> 55604, 100246, 111917, 10699, 20519, 598, 2064334, 17~
## $ `2/22/21` <dbl> 55617, 101285, 112094, 10712, 20548, 614, 2069751, 17~
## $ `2/23/21` <dbl> 55646, 102306, 112279, 10739, 20584, 636, 2077228, 17~
## $ `2/24/21` <dbl> 55664, 103327, 112461, 10775, 20640, 646, 2085411, 17~
## $ `2/25/21` <dbl> 55680, 104313, 112622, 10799, 20695, 701, 2093645, 17~
## $ `2/26/21` <dbl> 55696, 105229, 112805, 10822, 20759, 701, 2098728, 17~
## $ `2/27/21` <dbl> 55707, 106215, 112960, 10849, 20782, 726, 2104197, 17~
## $ `2/28/21` <dbl> 55714, 107167, 113092, 10866, 20807, 730, 2107365, 17~
## $ `3/1/21` <dbl> 55733, 107931, 113255, 10889, 20854, 769, 2112023, 17~
## $ `3/2/21` <dbl> 55759, 108823, 113430, 10908, 20882, 769, 2118676, 17~
## $ `3/3/21` <dbl> 55770, 109674, 113593, 10948, 20923, 769, 2126531, 17~
## $ `3/4/21` <dbl> 55775, 110521, 113761, 10976, 20981, 813, 2133963, 17~
## $ `3/5/21` <dbl> 55827, 111301, 113948, 10998, 21026, 813, 2141854, 17~
## $ `3/6/21` <dbl> 55840, 112078, 114104, 11019, 21055, 813, 2146714, 17~
## $ `3/7/21` <dbl> 55847, 112897, 114234, 11042, 21086, 848, 2149636, 17~
## $ `3/8/21` <dbl> 55876, 113580, 114382, 11069, 21108, 848, 2154694, 17~
## $ `3/9/21` <dbl> 55876, 114209, 114543, 11089, 21114, 862, 2162001, 17~
## $ `3/10/21` <dbl> 55894, 114840, 114681, 11130, 21161, 882, 2169694, 17~
## $ `3/11/21` <dbl> 55917, 115442, 114851, 11130, 21205, 882, 2177898, 17~
## $ `3/12/21` <dbl> 55959, 116123, 115008, 11199, 21265, 945, 2185747, 17~
## $ `3/13/21` <dbl> 55959, 116821, 115143, 11228, 21323, 962, 2192025, 17~
## $ `3/14/21` <dbl> 55985, 117474, 115265, 11266, 21380, 963, 2195722, 17~
## $ `3/15/21` <dbl> 55985, 118017, 115410, 11289, 21407, 963, 2201886, 17~
## $ `3/16/21` <dbl> 55995, 118492, 115540, 11319, 21446, 992, 2210121, 17~
## $ `3/17/21` <dbl> 56016, 118938, 115688, 11360, 21489, 992, 2218425, 18~
## $ `3/18/21` <dbl> 56044, 119528, 115842, 11393, 21558, 1008, 2226753, 1~
## $ `3/19/21` <dbl> 56069, 120022, 115970, 11431, 21642, 1011, 2234913, 1~
## $ `3/20/21` <dbl> 56093, 120541, 116066, 11481, 21696, 1033, 2241739, 1~
## $ `3/21/21` <dbl> 56103, 121200, 116157, 11517, 21733, 1033, 2245771, 1~
## $ `3/22/21` <dbl> 56153, 121544, 116255, 11545, 21757, 1072, 2252172, 1~
## $ `3/23/21` <dbl> 56177, 121847, 116349, 11591, 21774, 1080, 2261577, 1~
## $ `3/24/21` <dbl> 56192, 122295, 116438, 11638, 21836, 1080, 2269877, 1~
## $ `3/25/21` <dbl> 56226, 122767, 116543, 11687, 21914, 1103, 2278115, 1~
## $ `3/26/21` <dbl> 56254, 123216, 116657, 11732, 21961, 1122, 2291051, 1~
## $ `3/27/21` <dbl> 56290, 123641, 116750, 11809, 22031, 1122, 2301389, 1~
## $ `3/28/21` <dbl> 56294, 124134, 116836, 11850, 22063, 1128, 2308597, 1~
## $ `3/29/21` <dbl> 56322, 124419, 116946, 11888, 22132, 1136, 2322611, 1~
## $ `3/30/21` <dbl> 56384, 124723, 117061, 11944, 22182, 1136, 2332765, 1~
## $ `3/31/21` <dbl> 56454, 125157, 117192, 12010, 22311, 1136, 2348821, 1~
## $ `4/1/21` <dbl> 56517, 125506, 117304, 12053, 22399, 1147, 2363251, 1~
## $ `4/2/21` <dbl> 56572, 125842, 117429, 12115, 22467, 1152, 2373153, 1~
## $ `4/3/21` <dbl> 56595, 126183, 117524, 12174, 22579, 1170, 2383537, 1~
## $ `4/4/21` <dbl> 56676, 126531, 117622, 12231, 22631, 1170, 2393492, 1~
## $ `4/5/21` <dbl> 56717, 126795, 117739, 12286, 22717, 1173, 2407159, 1~
## $ `4/6/21` <dbl> 56779, 126936, 117879, 12328, 22885, 1173, 2428029, 1~
## $ `4/7/21` <dbl> 56873, 127192, 118004, 12363, 23010, 1177, 2450068, 1~
## $ `4/8/21` <dbl> 56943, 127509, 118116, 12409, 23108, 1180, 2473751, 2~
## $ `4/9/21` <dbl> 57019, 127795, 118251, 12456, 23242, 1182, 2497881, 2~
## $ `4/10/21` <dbl> 57144, 128155, 118378, 12497, 23331, 1197, 2517300, 2~
## $ `4/11/21` <dbl> 57160, 128393, 118516, 12545, 23457, 1198, 2532562, 2~
## $ `4/12/21` <dbl> 57242, 128518, 118645, 12581, 23549, 1198, 2551999, 2~
## $ `4/13/21` <dbl> 57364, 128752, 118799, 12614, 23697, 1201, 2579000, 2~
## $ `4/14/21` <dbl> 57492, 128959, 118975, 12641, 23841, 1201, 2604157, 2~
## $ `4/15/21` <dbl> 57534, 129128, 119142, 12641, 23951, 1209, 2629156, 2~
## $ `4/16/21` <dbl> 57612, 129307, 119323, 12712, 24122, 1213, 2658628, 2~
## $ `4/17/21` <dbl> 57721, 129456, 119486, 12771, 24300, 1216, 2677747, 2~
## $ `4/18/21` <dbl> 57793, 129594, 119642, 12805, 24389, 1216, 2694014, 2~
## $ `4/19/21` <dbl> 57898, 129694, 119805, 12805, 24518, 1217, 2714475, 2~
## $ `4/20/21` <dbl> 58037, 129842, 119992, 12874, 24661, 1217, 2743620, 2~
## $ `4/21/21` <dbl> 58214, 129980, 120174, 12917, 24883, 1217, 2769552, 2~
## $ `4/22/21` <dbl> 58312, 130114, 120363, 12942, 25051, 1217, 2796768, 2~
## $ `4/23/21` <dbl> 58542, 130270, 120562, 13007, 25279, 1222, 2824652, 2~
## $ `4/24/21` <dbl> 58730, 130409, 120736, 13024, 25492, 1227, 2845872, 2~
## $ `4/25/21` <dbl> 58843, 130537, 120922, 13060, 25609, 1227, 2860884, 2~
## $ `4/26/21` <dbl> 59015, 130606, 121112, 13083, 25710, 1228, 2879677, 2~
## $ `4/27/21` <dbl> 59225, 130736, 121344, 13121, 25942, 1232, 2905172, 2~
## $ `4/28/21` <dbl> 59370, 130859, 121580, 13148, 26168, 1232, 2928890, 2~
## $ `4/29/21` <dbl> 59576, 130977, 121866, 13198, 26431, 1232, 2954943, 2~
## $ `4/30/21` <dbl> 59745, 131085, 122108, 13232, 26652, 1232, 2977363, 2~
## $ `5/1/21` <dbl> 59939, 131185, 122311, 13232, 26815, 1232, 2993865, 2~
## $ `5/2/21` <dbl> 60122, 131238, 122522, 13282, 26993, 1232, 3005259, 2~
## $ `5/3/21` <dbl> 60300, 131276, 122717, 13295, 27133, 1232, 3021179, 2~
## $ `5/4/21` <dbl> 60563, 131327, 122999, 13316, 27284, 1232, 3047417, 2~
## $ `5/5/21` <dbl> 60797, 131419, 123272, 13340, 27529, 1232, 3071496, 2~
## $ `5/6/21` <dbl> 61162, 131510, 123473, 13363, 27921, 1232, 3095582, 2~
## $ `5/7/21` <dbl> 61455, 131577, 123692, 13390, 28201, 1232, 3118134, 2~
## $ `5/8/21` <dbl> 61755, 131666, 123900, 13406, 28477, 1232, 3136158, 2~
## $ `5/9/21` <dbl> 61842, 131723, 124104, 13423, 28740, 1231, 3147740, 2~
## $ `5/10/21` <dbl> 62063, 131753, 124288, 13429, 28875, 1237, 3165121, 2~
## $ `5/11/21` <dbl> 62403, 131803, 124483, 13447, 29146, 1238, 3191097, 2~
## $ `5/12/21` <dbl> 62718, 131845, 124682, 13470, 29405, 1240, 3215572, 2~
## $ `5/13/21` <dbl> 63045, 131890, 124889, 13470, 29695, 1240, 3242103, 2~
## $ `5/14/21` <dbl> 63355, 131939, 125059, 13510, 30030, 1240, 3269466, 2~
## $ `5/15/21` <dbl> 63412, 131978, 125194, 13510, 30354, 1241, 3290935, 2~
## $ `5/16/21` <dbl> 63484, 132015, 125311, 13510, 30637, 1241, 3307285, 2~
## $ `5/17/21` <dbl> 63598, 132032, 125485, 13555, 30787, 1251, 3335965, 2~
## $ `5/18/21` <dbl> 63819, 132071, 125693, 13569, 31045, 1251, 3371508, 2~
## $ `5/19/21` <dbl> 64122, 132095, 125896, 13569, 31438, 1252, 3411160, 2~
## $ `5/20/21` <dbl> 64575, 132118, 126156, 13569, 31661, 1255, 3447044, 2~
## $ `5/21/21` <dbl> 65080, 132153, 126434, 13569, 31909, 1255, 3482512, 2~
## $ `5/22/21` <dbl> 65486, 132176, 126651, 13569, 32149, 1257, 3514683, 2~
## $ `5/23/21` <dbl> 65728, 132209, 126860, 13569, 32441, 1257, 3539484, 2~
## $ `5/24/21` <dbl> 66275, 132215, 127107, 13569, 32623, 1258, 3562135, 2~
## $ `5/25/21` <dbl> 66903, 132229, 127361, 13664, 32933, 1258, 3586736, 2~
## $ `5/26/21` <dbl> 67743, 132244, 127646, 13671, 33338, 1258, 3622135, 2~
## $ `5/27/21` <dbl> 68366, 132264, 127926, 13682, 33607, 1258, 3663215, 2~
## $ `5/28/21` <dbl> 69130, 132285, 128198, 13693, 33944, 1259, 3702422, 2~
## $ `5/29/21` <dbl> 70111, 132297, 128456, 13693, 34180, 1259, 3732263, 2~
## $ `5/30/21` <dbl> 70761, 132309, 128725, 13693, 34366, 1259, 3753609, 2~
## $ `5/31/21` <dbl> 71838, 132315, 128913, 13727, 34551, 1260, 3781784, 2~
## $ `6/1/21` <dbl> 72977, 132337, 129218, 13729, 34752, 1260, 3817139, 2~
## $ `6/2/21` <dbl> 74026, 132351, 129640, 13744, 34960, 1262, 3852156, 2~
## $ `6/3/21` <dbl> 75119, 132360, 129976, 13752, 35140, 1262, 3884447, 2~
## $ `6/4/21` <dbl> 76628, 132372, 130361, 13758, 35307, 1263, 3915397, 2~
## $ `6/5/21` <dbl> 77963, 132374, 130681, 13758, 35594, 1263, 3939024, 2~
## $ `6/6/21` <dbl> 79224, 132379, 130958, 13758, 35772, 1263, 3955439, 2~
## $ `6/7/21` <dbl> 80841, 132384, 131283, 13777, 35854, 1263, 3977634, 2~
## $ `6/8/21` <dbl> 82326, 132397, 131647, 13781, 36004, 1263, 4008771, 2~
## $ `6/9/21` <dbl> 84050, 132415, 132034, 13791, 36115, 1263, 4038528, 2~
## $ `6/10/21` <dbl> 85892, 132426, 132355, 13805, 36325, 1263, 4066156, 2~
## $ `6/11/21` <dbl> 87716, 132437, 132727, 13813, 36455, 1263, 4093090, 2~
## $ `6/12/21` <dbl> 88740, 132449, 133070, 13813, 36600, 1263, 4111147, 2~
## $ `6/13/21` <dbl> 89861, 132459, 133388, 13813, 36705, 1263, 4124190, 2~
## $ `6/14/21` <dbl> 91458, 132461, 133742, 13826, 36790, 1263, 4145482, 2~
## $ `6/15/21` <dbl> 93272, 132469, 134115, 13828, 36921, 1263, 4172742, 2~
## $ `6/16/21` <dbl> 93288, 132476, 134458, 13836, 37094, 1263, 4198620, 2~
## $ `6/17/21` <dbl> 96531, 132481, 134840, 13839, 37289, 1263, 4222400, 2~
## $ `6/18/21` <dbl> 98734, 132484, 135219, 13842, 37467, 1263, 4242763, 2~
## $ `6/19/21` <dbl> 100521, 132488, 135586, 13842, 37604, 1263, 4258394, ~
## $ `6/20/21` <dbl> 101906, 132490, 135821, 13842, 37678, 1263, 4268789, ~
## $ `6/21/21` <dbl> 103902, 132490, 136294, 13864, 37748, 1263, 4277395, ~
## $ `6/22/21` <dbl> 105749, 132496, 136679, 13864, 37874, 1263, 4298782, ~
## $ `6/23/21` <dbl> 107957, 132497, 137049, 13873, 38002, 1263, 4326101, ~
## $ `6/24/21` <dbl> 109532, 132499, 137403, 13877, 38091, 1263, 4350564, ~
## $ `6/25/21` <dbl> 111592, 132506, 137772, 13882, 38371, 1263, 4374587, ~
## $ `6/26/21` <dbl> 113124, 132509, 138113, 13882, 38528, 1263, 4393142, ~
## $ `6/27/21` <dbl> 114220, 132512, 138465, 13882, 38556, 1263, 4405247, ~
## $ `6/28/21` <dbl> 115751, 132513, 138840, 13882, 38613, 1263, 4423636, ~
## $ `6/29/21` <dbl> 117158, 132514, 139229, 13900, 38682, 1263, 4447701, ~
## $ `6/30/21` <dbl> 118659, 132521, 139626, 13911, 38849, 1263, 4470374, ~
## $ `7/1/21` <dbl> 120216, 132523, 140075, 13918, 38965, 1264, 4491551, ~
## $ `7/2/21` <dbl> 122156, 132526, 140550, 13918, 39089, 1264, 4512439, ~
## $ `7/3/21` <dbl> 123485, 132534, 141007, 13918, 39172, 1264, 4526473, ~
## $ `7/4/21` <dbl> 124748, 132535, 141471, 13918, 39230, 1264, 4535473, ~
## $ `7/5/21` <dbl> 125937, 132537, 141966, 13918, 39300, 1264, 4552750, ~
## $ `7/6/21` <dbl> 127464, 132544, 142447, 13991, 39375, 1265, 4574340, ~
## $ `7/7/21` <dbl> 129021, 132557, 143032, 14021, 39491, 1265, 4593763, ~
## $ `7/8/21` <dbl> 130113, 132565, 143652, 14050, 39593, 1266, 4613019, ~
## $ `7/9/21` <dbl> 131586, 132580, 144483, 14075, 39791, 1266, 4627537, ~
## $ `7/10/21` <dbl> 132777, 132587, 145296, 14075, 39881, 1266, 4639098, ~
## $ `7/11/21` <dbl> 133578, 132592, 146064, 14075, 39958, 1266, 4647948, ~
## $ `7/12/21` <dbl> 134653, 132597, 146942, 14155, 40055, 1266, 4662937, ~
## $ `7/13/21` <dbl> 135889, 132608, 147883, 14167, 40138, 1266, 4682960, ~
## $ `7/14/21` <dbl> 136643, 132616, 148797, 14167, 40327, 1267, 4702657, ~
## $ `7/15/21` <dbl> 137853, 132629, 149906, 14239, 40530, 1267, 4719952, ~
## $ `7/16/21` <dbl> 139051, 132647, 151103, 14273, 40631, 1268, 4737213, ~
## $ `7/17/21` <dbl> 140224, 132665, 152210, 14273, 40707, 1268, 4749443, ~
## $ `7/18/21` <dbl> 140602, 132686, 153309, 14273, 40805, 1268, 4756378, ~
## $ `7/19/21` <dbl> 141499, 132697, 154486, 14359, 40906, 1275, 4769142, ~
## $ `7/20/21` <dbl> 142414, 132740, 155784, 14379, 41061, 1275, 4784219, ~
## $ `7/21/21` <dbl> 142762, 132763, 157005, 14379, 41227, 1275, 4798851, ~
## $ `7/22/21` <dbl> 143183, 132797, 158213, 14464, 41405, 1277, 4812351, ~
## $ `7/23/21` <dbl> 143439, 132828, 159563, 14498, 41629, 1277, 4827973, ~
## $ `7/24/21` <dbl> 143666, 132853, 160868, 14498, 41736, 1280, 4839109, ~
## $ `7/25/21` <dbl> 143871, 132875, 162155, 14498, 41780, 1280, 4846615, ~
## $ `7/26/21` <dbl> 144285, 132891, 163660, 14577, 41879, 1280, 4859170, ~
## $ `7/27/21` <dbl> 145008, 132922, 165204, 14586, 42110, 1288, 4875927, ~
## $ `7/28/21` <dbl> 145552, 132952, 167131, 14586, 42288, 1288, 4891810, ~
## $ `7/29/21` <dbl> 145996, 132999, 168668, 14655, 42486, 1295, 4905925, ~
## $ `7/30/21` <dbl> 146523, 133036, 170189, 14678, 42646, 1303, 4919408, ~
## $ `7/31/21` <dbl> 147154, 133081, 171392, 14678, 42777, 1303, 4929764, ~
## $ `8/1/21` <dbl> 147501, 133121, 172564, 14678, 42815, 1303, 4935847, ~
## $ `8/2/21` <dbl> 147985, 133146, 173922, 14747, 42970, 1303, 4947030, ~
## $ `8/3/21` <dbl> 148572, 133211, 175229, 14766, 43070, 1303, 4961880, ~
## $ `8/4/21` <dbl> 148933, 133310, 176724, 14797, 43158, 1311, 4975616, ~
## $ `8/5/21` <dbl> 149361, 133442, 178013, 14809, 43269, 1320, 4989402, ~
## $ `8/6/21` <dbl> 149810, 133591, 179216, 14836, 43487, 1328, 5002951, ~
## $ `8/7/21` <dbl> 150240, 133730, 180356, 14836, 43592, 1328, 5012754, ~
## $ `8/8/21` <dbl> 150458, 133912, 181376, 14836, 43662, 1338, 5018895, ~
## $ `8/9/21` <dbl> 150778, 133981, 182368, 14836, 43747, 1348, 5029075, ~
## $ `8/10/21` <dbl> 151013, 134201, 183347, 14873, 43890, 1348, 5041487, ~
## $ `8/11/21` <dbl> 151291, 134487, 184191, 14891, 43998, 1372, 5052884, ~
## $ `8/12/21` <dbl> 151563, 134761, 185042, 14908, 44174, 1372, 5066253, ~
## $ `8/13/21` <dbl> 151770, 135140, 185902, 14924, 44328, 1372, 5074725, ~
## $ `8/14/21` <dbl> 151941, 135550, 186655, 14924, 44534, 1378, 5080908, ~
## $ `8/15/21` <dbl> 152033, 135947, 187258, 14924, 44617, 1397, 5084635, ~
## $ `8/16/21` <dbl> 152142, 136147, 187968, 14954, 44739, 1397, 5088271, ~
## $ `8/17/21` <dbl> 152243, 136598, 188663, 14960, 44972, 1397, 5096443, ~
## $ `8/18/21` <dbl> 152363, 137075, 189384, 14976, 45175, 1421, 5106207, ~
## $ `8/19/21` <dbl> 152411, 137597, 190078, 14981, 45325, 1421, 5116803, ~
## $ `8/20/21` <dbl> 152448, 138132, 190656, 14988, 45583, 1447, 5124963, ~
## $ `8/21/21` <dbl> 152497, 138790, 191171, 14988, 45817, 1490, 5130852, ~
## $ `8/22/21` <dbl> 152511, 139324, 191583, 14988, 45945, 1490, 5133831, ~
## $ `8/23/21` <dbl> 152583, 139721, 192089, 15002, 46076, 1540, 5139966, ~
## $ `8/24/21` <dbl> 152660, 140521, 192626, 15003, 46340, 1540, 5148085, ~
## $ `8/25/21` <dbl> 152722, 141365, 193171, 15014, 46539, 1598, 5155079, ~
## $ `8/26/21` <dbl> 152822, 142253, 193674, 15016, 46726, 1598, 5161926, ~
## $ `8/27/21` <dbl> 152960, 143174, 194186, 15025, 46929, 1598, 5167733, ~
## $ `8/28/21` <dbl> 153007, 144079, 194671, 15025, 47079, 1638, 5171458, ~
## $ `8/29/21` <dbl> 153033, 144847, 195162, 15025, 47168, 1651, 5173531, ~
## $ `8/30/21` <dbl> 153148, 145333, 195574, 15032, 47331, 1713, 5178889, ~
## $ `8/31/21` <dbl> 153220, 146387, 196080, 15033, 47544, 1715, 5185620, ~
## $ `9/1/21` <dbl> 153260, 147369, 196527, 15046, 47781, 1719, 5190948, ~
## $ `9/2/21` <dbl> 153306, 148222, 196915, 15052, 48004, 1742, 5195601, ~
## $ `9/3/21` <dbl> 153375, 149117, 197308, 15055, 48261, 1750, 5199919, ~
## $ `9/4/21` <dbl> 153395, 150101, 197659, 15055, 48475, 1759, 5202405, ~
## $ `9/5/21` <dbl> 153423, 150997, 198004, 15055, 48656, 1870, 5203802, ~
## $ `9/6/21` <dbl> 153534, 151499, 198313, 15069, 48790, 1878, 5207695, ~
## $ `9/7/21` <dbl> 153626, 152239, 198645, 15070, 49114, 1960, 5211801, ~
## $ `9/8/21` <dbl> 153736, 153318, 198962, 15070, 49349, 1974, 5215332, ~
## $ `9/9/21` <dbl> 153840, 154316, 199275, 15078, 49628, 2059, 5218993, ~
## $ `9/10/21` <dbl> 153962, 155293, 199560, 15083, 49943, 2059, 5221809, ~
## $ `9/11/21` <dbl> 153982, 156162, 199822, 15083, 50348, 2166, 5223604, ~
## $ `9/12/21` <dbl> 153990, 157026, 200068, 15083, 50446, 2166, 5224534, ~
## $ `9/13/21` <dbl> 154094, 157436, 200301, 15096, 50738, 2297, 5226831, ~
## $ `9/14/21` <dbl> 154180, 158431, 200528, 15099, 51047, 2304, 5229848, ~
## $ `9/15/21` <dbl> 154283, 159423, 200770, 15108, 51407, 2304, 5232358, ~
## $ `9/16/21` <dbl> 154361, 160365, 200989, 15113, 51827, 2304, 5234851, ~
## $ `9/17/21` <dbl> 154487, 161324, 201224, 15124, 52208, 2603, 5237159, ~
## $ `9/18/21` <dbl> 154487, 162173, 201425, 15124, 52307, 2603, 5238610, ~
## $ `9/19/21` <dbl> 154487, 162953, 201600, 15124, 52307, 2603, 5239232, ~
## $ `9/20/21` <dbl> 154585, 163404, 201766, 15140, 52644, 2603, 5241394, ~
## $ `9/21/21` <dbl> 154712, 164276, 201948, 15140, 52968, 2603, 5243231, ~
## $ `9/22/21` <dbl> 154757, 165096, 202122, 15153, 53387, 2625, 5245265, ~
## $ `9/23/21` <dbl> 154800, 165864, 202283, 15156, 53840, 2815, 5246998, ~
## $ `9/24/21` <dbl> 154960, 166690, 202449, 15167, 54280, 2815, 5248847, ~
## $ `9/25/21` <dbl> 154960, 167354, 202574, 15167, 54795, 2902, 5249840, ~
## $ `9/26/21` <dbl> 154960, 167893, 202722, 15167, 55121, 2923, 5250402, ~
## $ `9/27/21` <dbl> 155072, 168188, 202877, 15189, 55583, 2923, 5251940, ~
## $ `9/28/21` <dbl> 155093, 168782, 203045, 15192, 56040, 3160, 5253765, ~
## $ `9/29/21` <dbl> 155128, 169462, 203198, 15209, 56583, 3188, 5255261, ~
## $ `9/30/21` <dbl> 155174, 170131, 203359, 15222, 56583, 3231, 5256902, ~
## $ `10/1/21` <dbl> 155191, 170778, 203517, 15222, 58076, 3336, 5258466, ~
## $ `10/2/21` <dbl> 155191, 171327, 203657, 15222, 58603, 3403, 5259352, ~
## $ `10/3/21` <dbl> 155191, 171794, 203789, 15222, 58943, 3503, 5259738, ~
## $ `10/4/21` <dbl> 155287, 171794, 203915, 15267, 58943, 3503, 5260719, ~
## $ `10/5/21` <dbl> 155309, 172618, 204046, 15271, 59895, 3518, 5261935, ~
## $ `10/6/21` <dbl> 155380, 173190, 204171, 15284, 60448, 3581, 5263219, ~
## $ `10/7/21` <dbl> 155429, 173723, 204276, 15288, 60803, 3663, 5264305, ~
## $ `10/8/21` <dbl> 155448, 174168, 204388, 15291, 61023, 3678, 5265058, ~
## $ `10/9/21` <dbl> 155466, 174643, 204490, 15291, 61245, 3738, 5265528, ~
## $ `10/10/21` <dbl> 155508, 174968, 204597, 15291, 61378, 3750, 5265859, ~
## $ `10/11/21` <dbl> 155540, 175163, 204695, 15307, 61580, 3750, 5266275, ~
## $ `10/12/21` <dbl> 155599, 175664, 204790, 15307, 61794, 3772, 5267339, ~
## $ `10/13/21` <dbl> 155627, 176172, 204900, 15314, 62143, 3817, 5268653, ~
## $ `10/14/21` <dbl> 155682, 176667, 205005, 15326, 62385, 3830, 5270003, ~
## $ `10/15/21` <dbl> 155688, 177108, 205106, 15338, 62606, 3858, 5271361, ~
## $ `10/16/21` <dbl> 155739, 177536, 205199, 15338, 62789, 3888, 5272151, ~
## $ `10/17/21` <dbl> 155764, 177971, 205286, 15338, 62842, 3888, 5272551, ~
## $ `10/18/21` <dbl> 155776, 178188, 205364, 15367, 63012, 3918, 5273463, ~
## $ `10/19/21` <dbl> 155801, 178804, 205453, 15369, 63197, 3918, 5274766, ~
## $ `10/20/21` <dbl> 155859, 179463, 205529, 15382, 63340, 3939, 5275984, ~
## $ `10/21/21` <dbl> 155891, 180029, 205599, 15382, 63567, 3984, 5277525, ~
## $ `10/22/21` <dbl> 155931, 180623, 205683, 15404, 63691, 3994, 5278910, ~
## $ `10/23/21` <dbl> 155940, 181252, 205750, 15404, 63775, 4019, 5279818, ~
## $ `10/24/21` <dbl> 155944, 181696, 205822, 15404, 63861, 4019, 5280358, ~
## $ `10/25/21` <dbl> 156040, 181960, 205903, 15425, 63930, 4031, 5281585, ~
## $ `10/26/21` <dbl> 156071, 182610, 205990, 15425, 64033, 4031, 5283000, ~
## $ `10/27/21` <dbl> 156124, 183282, 206069, 15462, 64126, 4036, 5284485, ~
## $ `10/28/21` <dbl> 156166, 183873, 206160, 15505, 64226, 4040, 5286074, ~
## $ `10/29/21` <dbl> 156196, 184340, 206270, 15516, 64301, 4040, 5287447, ~
## $ `10/30/21` <dbl> 156210, 184887, 206358, 15516, 64374, 4058, 5288259, ~
## $ `10/31/21` <dbl> 156250, 185300, 206452, 15516, 64433, 4058, 5288807, ~
## $ `11/1/21` <dbl> 156284, 185497, 206566, 15516, 64458, 4062, 5289945, ~
## $ `11/2/21` <dbl> 156307, 186222, 206649, 15516, 64487, 4069, 5291285, ~
## $ `11/3/21` <dbl> 156323, 186793, 206754, 15572, 64533, 4069, 5292549, ~
## $ `11/4/21` <dbl> 156363, 187363, 206878, 15618, 64583, 4072, 5293989, ~
## $ `11/5/21` <dbl> 156392, 187994, 206995, 15618, 64612, 4078, 5295260, ~
## $ `11/6/21` <dbl> 156397, 187994, 207079, 15618, 64654, 4091, 5296188, ~
## $ `11/7/21` <dbl> 156397, 189125, 207156, 15618, 64674, 4091, 5296781, ~
## $ `11/8/21` <dbl> 156397, 189355, 207254, 15705, 64724, 4091, 5298069, ~
## $ `11/9/21` <dbl> 156397, 190125, 207385, 15717, 64762, 4091, 5299418, ~
## $ `11/10/21` <dbl> 156414, 190815, 207509, 15744, 64815, 4102, 5300985, ~
## $ `11/11/21` <dbl> 156456, 191440, 207624, 15744, 64857, 4102, 5302445, ~
## $ `11/12/21` <dbl> 156487, 192013, 207764, 15819, 64875, 4106, 5304059, ~
## $ `11/13/21` <dbl> 156510, 192600, 207873, 15819, 64899, 4118, 5305151, ~
## $ `11/14/21` <dbl> 156552, 193075, 207970, 15819, 64913, 4118, 5305742, ~
## $ `11/15/21` <dbl> 156610, 193269, 208104, 15907, 64913, 4118, 5307159, ~
## $ `11/16/21` <dbl> 156649, 193856, 208245, 15929, 64940, 4122, 5308781, ~
## $ `11/17/21` <dbl> 156739, 194472, 208380, 15972, 64968, 4129, 5310334, ~
## $ `11/18/21` <dbl> 156739, 195021, 208532, 16035, 64985, 4129, 5312089, ~
## $ `11/19/21` <dbl> 156812, 195523, 208695, 16086, 64997, 4131, 5313607, ~
## $ `11/20/21` <dbl> 156864, 195988, 208839, 16086, 65011, 4135, 5314702, ~
## $ `11/21/21` <dbl> 156896, 195988, 208952, 16086, 65024, 4135, 5315348, ~
## $ `11/22/21` <dbl> 156911, 196611, 209111, 16299, 65033, 4136, 5315989, ~
## $ `11/23/21` <dbl> 157015, 197167, 209283, 16342, 65061, 4138, 5317633, ~
## $ `11/24/21` <dbl> 157032, 197776, 209463, 16426, 65080, 4138, 5319867, ~
## $ `11/25/21` <dbl> 157144, 198292, 209624, 16566, 65105, 4141, 5322127, ~
## $ `11/26/21` <dbl> 157171, 198732, 209817, 16712, 65130, 4141, 5324039, ~
## $ `11/27/21` <dbl> 157190, 199137, 209980, 16712, 65139, 4141, 5325560, ~
## $ `11/28/21` <dbl> 157218, 199555, 210152, 16712, 65144, 4141, 5326448, ~
## $ `11/29/21` <dbl> 157260, 199750, 210344, 16712, 65155, 4141, 5328416, ~
## $ `11/30/21` <dbl> 157289, 199945, 210531, 17115, 65168, 4141, 5330748, ~
## $ `12/1/21` <dbl> 157359, 200173, 210723, 17426, 65183, 4141, 5332629, ~
## $ `12/2/21` <dbl> 157387, 200639, 210921, 17658, 65208, 4141, 5335310, ~
## $ `12/3/21` <dbl> 157412, 201045, 211112, 18010, 65223, 4146, 5337692, ~
## $ `12/4/21` <dbl> 157431, 201402, 211297, 18010, 65244, 4147, 5339382, ~
## $ `12/5/21` <dbl> 157454, 201730, 211469, 18010, 65259, 4147, 5340676, ~
## $ `12/6/21` <dbl> 157499, 201902, 211662, 18631, 65259, 4148, 5343153, ~
## $ `12/7/21` <dbl> 157508, 202295, 211859, 18815, 65301, 4148, 5346242, ~
## $ `12/8/21` <dbl> 157542, 202641, 212047, 18815, 65332, 4151, 5348123, ~
## $ `12/9/21` <dbl> 157585, 202863, 212224, 19272, 65346, 4151, 5350867, ~
## $ `12/10/21` <dbl> 157603, 203215, 212434, 19440, 65371, 4159, 5354440, ~
## $ `12/11/21` <dbl> 157611, 203524, 212652, 19440, 65397, 4159, 5356885, ~
## $ `12/12/21` <dbl> 157633, 203787, 212848, 19440, 65404, 4162, 5358455, ~
## $ `12/13/21` <dbl> 157648, 203925, 213058, 19440, 65404, 4162, 5358455, ~
## $ `12/14/21` <dbl> 157660, 204301, 213288, 20136, 65431, 4177, 5366522, ~
## $ `12/15/21` <dbl> 157665, 204627, 213533, 20136, 65565, 4177, 5371341, ~
## $ `12/16/21` <dbl> 157725, 204928, 213745, 20549, 65648, 4178, 5376642, ~
## $ `12/17/21` <dbl> 157734, 205224, 214044, 20549, 65760, 4186, 5382290, ~
## $ `12/18/21` <dbl> 157745, 205549, 214330, 20549, 65868, 4198, 5386453, ~
## $ `12/19/21` <dbl> 157787, 205777, 214592, 20549, 65938, 4198, 5389707, ~
## $ `12/20/21` <dbl> 157797, 205897, 214835, 21062, 66086, 4198, 5395044, ~
## $ `12/21/21` <dbl> 157816, 206273, 215145, 21062, 66566, 4201, 5404380, ~
## $ `12/22/21` <dbl> 157841, 206616, 215430, 21372, 67199, 4205, 5415501, ~
## $ `12/23/21` <dbl> 157878, 206935, 215723, 21571, 68362, 4216, 5428957, ~
## $ `12/24/21` <dbl> 157887, 207221, 216098, 21730, 70221, 4216, 5445236, ~
## $ `12/25/21` <dbl> 157895, 207542, 216376, 21730, 71142, 4236, 5452419, ~
## $ `12/26/21` <dbl> 157951, 207709, 216637, 21730, 71752, 4236, 5460042, ~
covid_pivot_data <- function(input_data, value_var_name){
input_data %>%
pivot_longer(cols = -one_of('country','subregion','lat','long')
,names_to = 'date'
,values_to = value_var_name
) ->
output_data
return(output_data)
}
#======================
# DEFINE: Convert Dates
#======================
covid_convert_dates <- function(input_data){
input_data %>%
mutate(date = mdy(date)) ->
output_data
return(output_data)
}
#=======================
# DEFINE: Rearrange Data
#=======================
covid_rearrange_data <- function(input_data){
input_data %>%
select(country, subregion, date, lat, long, everything()) %>%
arrange(country, subregion, date) ->
output_data
return(output_data)
}
#=======================
# DEFINE: Rearrange Data
#=======================
covid_rearrange_data <- function(input_data){
input_data %>%
select(country, subregion, date, lat, long, everything()) %>%
arrange(country, subregion, date) ->
output_data
return(output_data)
}
#======================================
# DEFINE DATA COVID PROCESSING FUNCTION
#======================================
covid_get_data <- function(input_url, value_var_name){
covid_data_inprocess <- read_csv(input_url)
covid_data_inprocess <- covid_rename_columns(covid_data_inprocess)
covid_data_inprocess <- covid_pivot_data(covid_data_inprocess, value_var_name)
covid_data_inprocess <- covid_convert_dates(covid_data_inprocess)
covid_data_inprocess <- covid_rearrange_data(covid_data_inprocess)
return(covid_data_inprocess)
}
url_confirmed = 'https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_confirmed_global.csv'
url_deaths = 'https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_deaths_global.csv'
url_recovered = 'https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_recovered_global.csv'
covid_confirmed = covid_get_data(url_confirmed,'confirmed')
## Rows: 280 Columns: 709
## -- Column specification --------------------------------------------------------
## Delimiter: ","
## chr (2): Province/State, Country/Region
## dbl (707): Lat, Long, 1/22/20, 1/23/20, 1/24/20, 1/25/20, 1/26/20, 1/27/20, ...
##
## i Use `spec()` to retrieve the full column specification for this data.
## i Specify the column types or set `show_col_types = FALSE` to quiet this message.
covid_deaths = covid_get_data(url_deaths,'dead')
## Rows: 280 Columns: 709
## -- Column specification --------------------------------------------------------
## Delimiter: ","
## chr (2): Province/State, Country/Region
## dbl (707): Lat, Long, 1/22/20, 1/23/20, 1/24/20, 1/25/20, 1/26/20, 1/27/20, ...
##
## i Use `spec()` to retrieve the full column specification for this data.
## i Specify the column types or set `show_col_types = FALSE` to quiet this message.
covid_recovered = covid_get_data(url_recovered,'recovered')
## Rows: 265 Columns: 709
## -- Column specification --------------------------------------------------------
## Delimiter: ","
## chr (2): Province/State, Country/Region
## dbl (707): Lat, Long, 1/22/20, 1/23/20, 1/24/20, 1/25/20, 1/26/20, 1/27/20, ...
##
## i Use `spec()` to retrieve the full column specification for this data.
## i Specify the column types or set `show_col_types = FALSE` to quiet this message.
print(covid_deaths)
## # A tibble: 197,400 x 6
## country subregion date lat long dead
## <chr> <chr> <date> <dbl> <dbl> <dbl>
## 1 Afghanistan <NA> 2020-01-22 33.9 67.7 0
## 2 Afghanistan <NA> 2020-01-23 33.9 67.7 0
## 3 Afghanistan <NA> 2020-01-24 33.9 67.7 0
## 4 Afghanistan <NA> 2020-01-25 33.9 67.7 0
## 5 Afghanistan <NA> 2020-01-26 33.9 67.7 0
## 6 Afghanistan <NA> 2020-01-27 33.9 67.7 0
## 7 Afghanistan <NA> 2020-01-28 33.9 67.7 0
## 8 Afghanistan <NA> 2020-01-29 33.9 67.7 0
## 9 Afghanistan <NA> 2020-01-30 33.9 67.7 0
## 10 Afghanistan <NA> 2020-01-31 33.9 67.7 0
## # ... with 197,390 more rows
count(covid_confirmed)
## # A tibble: 1 x 1
## n
## <int>
## 1 197400
count(covid_deaths)
## # A tibble: 1 x 1
## n
## <int>
## 1 197400
count(covid_recovered)
## # A tibble: 1 x 1
## n
## <int>
## 1 186825
#-------------------------
# DROP UNNECESSARY COLUMNS
#-------------------------
covid_deaths <- covid_deaths %>% select(-long, -lat)
covid_recovered <- covid_recovered %>% select(-long, -lat)
covid_confirmed %>%
left_join(covid_deaths, on = c(country, subregion, date)) %>%
left_join(covid_recovered, on = c(country, subregion, date)) ->
covid_data
## Joining, by = c("country", "subregion", "date")
## Joining, by = c("country", "subregion", "date")
print(covid_data)
## # A tibble: 197,400 x 8
## country subregion date lat long confirmed dead recovered
## <chr> <chr> <date> <dbl> <dbl> <dbl> <dbl> <dbl>
## 1 Afghanistan <NA> 2020-01-22 33.9 67.7 0 0 0
## 2 Afghanistan <NA> 2020-01-23 33.9 67.7 0 0 0
## 3 Afghanistan <NA> 2020-01-24 33.9 67.7 0 0 0
## 4 Afghanistan <NA> 2020-01-25 33.9 67.7 0 0 0
## 5 Afghanistan <NA> 2020-01-26 33.9 67.7 0 0 0
## 6 Afghanistan <NA> 2020-01-27 33.9 67.7 0 0 0
## 7 Afghanistan <NA> 2020-01-28 33.9 67.7 0 0 0
## 8 Afghanistan <NA> 2020-01-29 33.9 67.7 0 0 0
## 9 Afghanistan <NA> 2020-01-30 33.9 67.7 0 0 0
## 10 Afghanistan <NA> 2020-01-31 33.9 67.7 0 0 0
## # ... with 197,390 more rows
covid_data %>%
arrange(country, subregion, date) %>%
group_by(country, subregion) %>%
mutate(new_cases = confirmed - lag(confirmed)) %>%
ungroup() ->
covid_data
print(covid_data)
## # A tibble: 197,400 x 9
## country subregion date lat long confirmed dead recovered new_cases
## <chr> <chr> <date> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
## 1 Afghani~ <NA> 2020-01-22 33.9 67.7 0 0 0 NA
## 2 Afghani~ <NA> 2020-01-23 33.9 67.7 0 0 0 0
## 3 Afghani~ <NA> 2020-01-24 33.9 67.7 0 0 0 0
## 4 Afghani~ <NA> 2020-01-25 33.9 67.7 0 0 0 0
## 5 Afghani~ <NA> 2020-01-26 33.9 67.7 0 0 0 0
## 6 Afghani~ <NA> 2020-01-27 33.9 67.7 0 0 0 0
## 7 Afghani~ <NA> 2020-01-28 33.9 67.7 0 0 0 0
## 8 Afghani~ <NA> 2020-01-29 33.9 67.7 0 0 0 0
## 9 Afghani~ <NA> 2020-01-30 33.9 67.7 0 0 0 0
## 10 Afghani~ <NA> 2020-01-31 33.9 67.7 0 0 0 0
## # ... with 197,390 more rows
covid_data %>% glimpse()
## Rows: 197,400
## Columns: 9
## $ country <chr> "Afghanistan", "Afghanistan", "Afghanistan", "Afghanistan", ~
## $ subregion <chr> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, ~
## $ date <date> 2020-01-22, 2020-01-23, 2020-01-24, 2020-01-25, 2020-01-26,~
## $ lat <dbl> 33.93911, 33.93911, 33.93911, 33.93911, 33.93911, 33.93911, ~
## $ long <dbl> 67.70995, 67.70995, 67.70995, 67.70995, 67.70995, 67.70995, ~
## $ confirmed <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ~
## $ dead <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ~
## $ recovered <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ~
## $ new_cases <dbl> NA, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,~
remotes::install_github("GuangchuangYu/nCov2019")
## Skipping install of 'nCov2019' from a github remote, the SHA1 (5427172b) has not changed since last install.
## Use `force = TRUE` to force installation
require(nCov2019)
## Loading required package: nCov2019
require(dplyr)
x <- get_nCov2019()
## Warning in readRDS(system.file("country_translate.rds", package = "nCov2019")):
## strings not representable in native encoding will be translated to UTF-8
## Warning in readRDS(system.file("oversea_province_translate.rds", package =
## "nCov2019")): strings not representable in native encoding will be translated to
## UTF-8
## Warning in load(system.file("ncovEnv.rda", package = "nCov2019")): strings not
## representable in native encoding will be translated to UTF-8
## Warning in load(system.file("ncovEnv.rda", package = "nCov2019")): strings not
## representable in native encoding will be translated to UTF-8
## Warning in load(system.file("ncovEnv.rda", package = "nCov2019")): strings not
## representable in native encoding will be translated to UTF-8
## Warning in load(system.file("ncovEnv.rda", package = "nCov2019")): strings not
## representable in native encoding will be translated to UTF-8
## Warning in load(system.file("ncovEnv.rda", package = "nCov2019")): strings not
## representable in native encoding will be translated to UTF-8
## Warning in load(system.file("ncovEnv.rda", package = "nCov2019")): strings not
## representable in native encoding will be translated to UTF-8
## Warning in load(system.file("ncovEnv.rda", package = "nCov2019")): strings not
## representable in native encoding will be translated to UTF-8
## Warning in load(system.file("ncovEnv.rda", package = "nCov2019")): strings not
## representable in native encoding will be translated to UTF-8
## Warning in load(system.file("ncovEnv.rda", package = "nCov2019")): strings not
## representable in native encoding will be translated to UTF-8
## Warning in load(system.file("ncovEnv.rda", package = "nCov2019")): strings not
## representable in native encoding will be translated to UTF-8
## Warning in load(system.file("ncovEnv.rda", package = "nCov2019")): strings not
## representable in native encoding will be translated to UTF-8
## Warning in load(system.file("ncovEnv.rda", package = "nCov2019")): strings not
## representable in native encoding will be translated to UTF-8
## Warning in load(system.file("ncovEnv.rda", package = "nCov2019")): strings not
## representable in native encoding will be translated to UTF-8
## Warning in load(system.file("ncovEnv.rda", package = "nCov2019")): strings not
## representable in native encoding will be translated to UTF-8
## Warning in load(system.file("ncovEnv.rda", package = "nCov2019")): strings not
## representable in native encoding will be translated to UTF-8
## Warning in load(system.file("ncovEnv.rda", package = "nCov2019")): strings not
## representable in native encoding will be translated to UTF-8
## Warning in load(system.file("ncovEnv.rda", package = "nCov2019")): strings not
## representable in native encoding will be translated to UTF-8
## Warning in load(system.file("ncovEnv.rda", package = "nCov2019")): strings not
## representable in native encoding will be translated to UTF-8
## Warning in load(system.file("ncovEnv.rda", package = "nCov2019")): strings not
## representable in native encoding will be translated to UTF-8
## Warning in load(system.file("ncovEnv.rda", package = "nCov2019")): strings not
## representable in native encoding will be translated to UTF-8
## Warning in load(system.file("ncovEnv.rda", package = "nCov2019")): strings not
## representable in native encoding will be translated to UTF-8
## Warning in load(system.file("ncovEnv.rda", package = "nCov2019")): strings not
## representable in native encoding will be translated to UTF-8
## Warning in load(system.file("ncovEnv.rda", package = "nCov2019")): strings not
## representable in native encoding will be translated to UTF-8
## Warning in load(system.file("ncovEnv.rda", package = "nCov2019")): strings not
## representable in native encoding will be translated to UTF-8
## Warning in load(system.file("ncovEnv.rda", package = "nCov2019")): strings not
## representable in native encoding will be translated to UTF-8
## Warning in load(system.file("ncovEnv.rda", package = "nCov2019")): strings not
## representable in native encoding will be translated to UTF-8
## Warning in load(system.file("ncovEnv.rda", package = "nCov2019")): strings not
## representable in native encoding will be translated to UTF-8
## Warning in load(system.file("ncovEnv.rda", package = "nCov2019")): strings not
## representable in native encoding will be translated to UTF-8
## Warning in load(system.file("ncovEnv.rda", package = "nCov2019")): strings not
## representable in native encoding will be translated to UTF-8
## Warning in load(system.file("ncovEnv.rda", package = "nCov2019")): strings not
## representable in native encoding will be translated to UTF-8
## Warning in load(system.file("ncovEnv.rda", package = "nCov2019")): strings not
## representable in native encoding will be translated to UTF-8
## Warning in load(system.file("ncovEnv.rda", package = "nCov2019")): strings not
## representable in native encoding will be translated to UTF-8
## Warning in load(system.file("ncovEnv.rda", package = "nCov2019")): strings not
## representable in native encoding will be translated to UTF-8
## Warning in load(system.file("ncovEnv.rda", package = "nCov2019")): strings not
## representable in native encoding will be translated to UTF-8
## Warning in load(system.file("ncovEnv.rda", package = "nCov2019")): strings not
## representable in native encoding will be translated to UTF-8
y <- load_nCov2019()
## Historical data downloaded failed.
## You will use locally stored data.
## To get the latest data, please check your network connection or try again later.
## Warning in readRDS(system.file("country_translate.rds", package = "nCov2019")):
## strings not representable in native encoding will be translated to UTF-8
## Warning in readRDS(system.file("oversea_province_translate.rds", package =
## "nCov2019")): strings not representable in native encoding will be translated to
## UTF-8
## Warning in load(system.file("ncovEnv.rda", package = "nCov2019")): strings not
## representable in native encoding will be translated to UTF-8
## Warning in load(system.file("ncovEnv.rda", package = "nCov2019")): strings not
## representable in native encoding will be translated to UTF-8
## Warning in readRDS(system.file("oversea_province_translate.rds", package =
## "nCov2019")): strings not representable in native encoding will be translated to
## UTF-8
## Warning in load(system.file("ncovEnv.rda", package = "nCov2019")): strings not
## representable in native encoding will be translated to UTF-8
x
## China (total confirmed cases): 130885
## last update: 2021-12-27 20:25:02
y
## nCov2019 historical data
## last update: 2020-06-01
x['global',]
## name confirm suspect dead heal deadRate
## 1 China 130885 6 5699 120523 4.35
## 2 United States 39668541 0 654696 30826478 1.65
## 3 India 32737939 0 438210 30974748 1.34
## 4 Brazil 20741815 0 579308 17771228 2.79
## 5 France 6827146 0 114506 415111 1.68
## 6 Russia 6785465 0 178457 5629581 2.63
## 7 United Kingdom 6762904 0 132760 24692 1.96
## 8 Turkey 6329519 0 55958 5478185 0.88
## 9 Argentina 5173531 0 111383 4615834 2.15
## 10 Iran 4926964 0 106482 3467765 2.16
## 11 Colombia 4905258 0 124811 4615354 2.54
## 12 Spain 4831809 0 84000 4258193 1.74
## 13 Italy 4530246 0 129093 4144608 2.85
## 14 Indonesia 4073831 0 131923 2947646 3.24
## 15 Germany 3940212 0 92146 3659410 2.34
## 16 Mexico 3335700 0 258165 2270427 7.74
## 17 Poland 2888231 0 75340 2654097 2.61
## 18 South Africa 2764931 0 81595 2258603 2.95
## 19 Ukraine 2381553 0 56900 2259446 2.39
## 20 Peru 2149591 0 198263 1720665 9.22
## 21 Netherlands 1971713 0 18342 28771 0.93
## 22 Philippines 1954023 0 33109 1627816 1.69
## 23 Iraq 1874435 0 20699 1502221 1.1
## 24 Malaysia 1706089 0 16087 976626 0.94
## 25 Czech Republic 1678862 0 30402 1641485 1.81
## 26 Chile 1637829 0 36885 1575377 2.25
## 27 Canada 1497283 0 26954 1406063 1.8
## 28 Bangladesh 1493537 0 26015 1156943 1.74
## 29 Japan 1460303 0 15969 858305 1.09
## 30 Belgium 1177909 0 25360 0 2.15
## 31 Thailand 1174091 0 11143 26873 0.95
## 32 Pakistan 1156281 0 25670 952616 2.22
## 33 Sweden 1123413 0 14685 0 1.31
## 34 Romania 1096753 0 34528 1048215 3.15
## 35 Israel 1051609 0 6989 855703 0.66
## 36 Portugal 1034947 0 17721 912620 1.71
## 37 Kazakhstan 854842 0 12655 555079 1.48
## 38 Morocco 853373 0 12437 582692 1.46
## 39 Hungary 811706 0 30057 750955 3.7
## 40 Jordan 795161 0 10383 753006 1.31
## 41 Switzerland 770765 0 10965 317600 1.42
## 42 Nepal 759222 0 10714 663663 1.41
## 43 Serbia 757617 0 7266 0 0.96
## 44 United Arab Emirates 716381 0 2038 665593 0.28
## 45 Austria 685956 0 10781 644840 1.57
## 46 Tunisia 660587 0 23369 530545 3.54
## 47 Cuba 640438 0 5144 382141 0.8
## 48 Lebanon 600451 0 8044 537653 1.34
## 49 Greece 581315 0 13581 93764 2.34
## 50 Saudi Arabia 543318 0 8512 507374 1.57
## 51 Georgia 543118 0 7251 393453 1.34
## 52 Ecuador 501140 0 32232 443880 6.43
## 53 Bolivia 490056 0 18411 411830 3.76
## 54 Belarus 479306 0 3757 444613 0.78
## 55 Guatemala 465059 0 11858 331374 2.55
## 56 Paraguay 458334 0 15723 423964 3.43
## 57 Panama 456666 0 7046 420113 1.54
## 58 Costa Rica 455784 0 5431 334759 1.19
## 59 Bulgaria 451599 0 18731 398721 4.15
## 60 Vietnam 435265 0 10749 54332 2.47
## 61 Sri Lanka 426169 0 8775 286365 2.06
## 62 Azerbaijan 417996 0 5553 333694 1.33
## 63 Kuwait 409552 0 2417 388880 0.59
## 64 Slovakia 394742 0 12548 255300 3.18
## 65 Myanmar 392300 0 15183 230308 3.87
## 66 Uruguay 384692 0 6029 374203 1.57
## 67 Croatia 373191 0 8325 355000 2.23
## 68 Dominican Republic 349859 0 4007 324861 1.15
## 69 Ireland 349773 0 5092 23364 1.46
## 70 Denmark 345421 0 2582 308171 0.75
## 71 Palestinian Territory 337405 0 3672 312320 1.09
## 72 Honduras 335398 0 8832 102384 2.63
## 73 Venezuela 333125 0 3998 294607 1.2
## 74 Ethiopia 306117 0 4644 264008 1.52
## 75 Libya 305793 0 4184 196714 1.37
## 76 Oman 302132 0 4057 282763 1.34
## 77 Lithuania 297777 0 4539 270037 1.52
## 78 Egypt 287899 0 16721 232179 5.81
## 79 Bahrain 272341 0 1388 267220 0.51
## 80 Moldova 266988 0 6394 252421 2.39
## 81 Slovenia 266514 0 4448 254042 1.67
## 82 South Korea 250051 0 2284 180719 0.91
## 83 Armenia 241336 0 4823 220617 2
## 84 Kenya 234952 0 4710 191188 2
## 85 Qatar 232366 0 602 224384 0.26
## 86 Bosnia and Herzegovina 212306 0 9785 190492 4.61
## 87 Mongolia 211080 0 931 169851 0.44
## 88 Zambia 206051 0 3596 190279 1.75
## 89 Algeria 195162 0 5209 118409 2.67
## 90 Nigeria 191345 0 2454 165208 1.28
## 91 Kyrgyzstan 175437 0 2518 152402 1.44
## 92 Republika Severna Makedonija 175330 0 5869 150470 3.35
## 93 Norway 157040 0 814 17998 0.52
## 94 Uzbekistan 154844 0 1070 127309 0.69
## 95 Botswana 153793 0 2213 96964 1.44
## 96 Afghanistan 152960 0 7101 82586 4.64
## 97 Mozambique 145863 0 1851 100912 1.27
## 98 Albania 144847 0 2492 130314 1.72
## 99 Latvia 142319 0 2573 135795 1.81
## 100 Estonia 141344 0 1289 129312 0.91
## 101 Finland 126093 0 1024 46000 0.81
## 102 Namibia 124716 0 3372 96891 2.7
## 103 Zimbabwe 124437 0 4401 82994 3.54
## 104 Uganda 119732 0 2991 87633 2.5
## 105 Ghana 117636 0 1008 98814 0.86
## 106 Montenegro 114364 0 1716 99216 1.5
## 107 Cyprus 113277 0 499 39061 0.44
## 108 El Salvador 94060 0 2898 76670 3.08
## 109 Cambodia 92208 0 1881 73421 2.04
## 110 Rwanda 86613 0 1079 44911 1.25
## 111 Cameroon 83425 0 1350 35261 1.62
## 112 Maldives 80791 0 226 75095 0.28
## 113 Luxembourg 75517 0 830 72306 1.1
## 114 Senegal 72709 0 1749 49234 2.41
## 115 Singapore 67171 0 55 63357 0.08
## 116 Jamaica 66663 0 1504 47101 2.26
## 117 Malawi 60345 0 2161 39841 3.58
## 118 Côte d'Ivoire 55108 0 430 49642 0.78
## 119 Democratic Republic of the Congo 54508 0 1057 30043 1.94
## 120 Australia 52612 0 1002 24204 1.9
## 121 Angola 47168 0 1201 39582 2.55
## 122 Fiji 46027 0 479 11233 1.04
## 123 Trinidad and Tobago 44481 0 1278 32454 2.87
## 124 Madagascar 42862 0 955 41177 2.23
## 125 Swaziland 42828 0 1081 22127 2.52
## 126 Sudan 37699 0 2831 30647 7.51
## 127 Malta 36089 0 440 32642 1.22
## 128 Cape Verde 35227 0 309 33173 0.88
## 129 <NA> 33309 0 705 22859 2.12
## 130 Guinea 29209 0 326 24463 1.12
## 131 Suriname 28840 0 715 21978 2.48
## 132 Syria 27654 0 2003 22019 7.24
## 133 Gabon 25819 0 165 25228 0.64
## 134 Guyana 25323 0 611 22327 2.41
## 135 Togo 21181 0 180 14654 0.85
## 136 Haiti 20833 0 584 12961 2.8
## 137 Seychelles 19777 0 104 17874 0.53
## 138 Bahamas 17940 0 354 12702 1.97
## 139 Papua New Guinea 17838 0 192 17384 1.08
## 140 Somalia 17302 0 963 7695 5.57
## 141 Tajikistan 16778 0 124 14867 0.74
## 142 Timor-Leste 16402 0 62 10039 0.38
## 143 Belize 16012 0 356 13543 2.22
## 144 Andorra 15025 0 130 14380 0.87
## 145 Mali 14857 0 539 13962 3.63
## 146 Lao People's Democratic Republic 14641 0 12 3804 0.08
## 147 Lesotho 14395 0 403 6664 2.8
## 148 Burkina Faso 13762 0 171 13385 1.24
## 149 Republic of the Congo 13533 0 183 12421 1.35
## 150 Benin 13366 0 128 8136 0.96
## 151 Burundi 11994 0 38 773 0.32
## 152 Djibouti 11741 0 157 11495 1.34
## 153 <NA> 11403 0 120 10514 1.05
## 154 <NA> 11270 0 99 6859 0.88
## 155 Nicaragua 11167 0 199 4225 1.78
## 156 Iceland 10658 0 33 7087 0.31
## 157 Gambia 9626 0 314 7310 3.26
## 158 Equatorial Guinea 9326 0 124 8709 1.33
## 159 Mauritius 8667 0 27 1854 0.31
## 160 Saint Lucia 8111 0 103 5398 1.27
## 161 Yemen 7784 0 1461 4271 18.77
## 162 Eritrea 6640 0 37 6475 0.56
## 163 Sierra Leone 6363 0 121 4287 1.9
## 164 Niger 5839 0 198 5351 3.39
## 165 Guinea-Bissau 5766 0 117 4027 2.03
## 166 Liberia 5538 0 245 2715 4.42
## 167 San Marino 5261 0 90 5009 1.71
## 168 Chad 4991 0 174 4796 3.49
## 169 Barbados 4931 0 49 4251 0.99
## 170 Comoros 4062 0 147 3873 3.62
## 171 New Zealand 3520 0 26 2824 0.74
## 172 <NA> 3263 0 59 3018 1.81
## 173 Monaco 3183 0 33 2759 1.04
## 174 Bhutan 2594 0 3 2434 0.12
## 175 <NA> 2590 0 37 2365 1.43
## 176 Brunei 2462 0 7 289 0.28
## 177 Saint Vincent and the Grenadines 2331 0 12 2233 0.51
## 178 <NA> 1651 0 43 1239 2.6
## 179 Dominica 1638 0 4 209 0.24
## 180 Tanzania 1367 0 50 183 3.66
## 181 Saint Kitts and Nevis 1053 0 3 549 0.28
## 182 Diamond Princess 712 0 13 699 1.83
## 183 Grenada 357 0 1 161 0.28
## 184 <NA> 37 0 1 0 2.7
## 185 Holy See [Vatican City State] 27 0 0 27 0
## 186 Solomon Islands 20 0 0 20 0
## 187 Western Sahara 10 0 1 8 10
## 188 <NA> 9 0 2 7 22.22
## 189 Vanuatu 4 0 1 3 25
## 190 Marshall Islands 4 0 0 4 0
## 191 Samoa 3 0 0 3 0
## 192 <NA> 1 0 0 1 0
## healRate showRate showHeal
## 1 92.08 FALSE TRUE
## 2 77.71 FALSE FALSE
## 3 94.61 FALSE FALSE
## 4 85.68 FALSE FALSE
## 5 6.08 FALSE FALSE
## 6 82.97 FALSE FALSE
## 7 0.37 FALSE FALSE
## 8 86.55 FALSE FALSE
## 9 89.22 FALSE FALSE
## 10 70.38 FALSE FALSE
## 11 94.09 FALSE FALSE
## 12 88.13 FALSE FALSE
## 13 91.49 FALSE FALSE
## 14 72.36 FALSE FALSE
## 15 92.87 FALSE FALSE
## 16 68.06 FALSE FALSE
## 17 91.89 FALSE FALSE
## 18 81.69 FALSE FALSE
## 19 94.87 FALSE FALSE
## 20 80.05 FALSE FALSE
## 21 1.46 FALSE FALSE
## 22 83.31 FALSE FALSE
## 23 80.14 FALSE FALSE
## 24 57.24 FALSE FALSE
## 25 97.77 FALSE FALSE
## 26 96.19 FALSE FALSE
## 27 93.91 FALSE FALSE
## 28 77.46 FALSE FALSE
## 29 58.78 FALSE FALSE
## 30 0 FALSE FALSE
## 31 2.29 FALSE FALSE
## 32 82.39 FALSE FALSE
## 33 0 FALSE FALSE
## 34 95.57 FALSE FALSE
## 35 81.37 FALSE FALSE
## 36 88.18 FALSE FALSE
## 37 64.93 FALSE FALSE
## 38 68.28 FALSE FALSE
## 39 92.52 FALSE FALSE
## 40 94.7 FALSE FALSE
## 41 41.21 FALSE FALSE
## 42 87.41 FALSE FALSE
## 43 0 FALSE FALSE
## 44 92.91 FALSE FALSE
## 45 94.01 FALSE FALSE
## 46 80.31 FALSE FALSE
## 47 59.67 FALSE FALSE
## 48 89.54 FALSE FALSE
## 49 16.13 FALSE FALSE
## 50 93.38 FALSE FALSE
## 51 72.44 FALSE FALSE
## 52 88.57 FALSE FALSE
## 53 84.04 FALSE FALSE
## 54 92.76 FALSE FALSE
## 55 71.25 FALSE FALSE
## 56 92.5 FALSE FALSE
## 57 92 FALSE FALSE
## 58 73.45 FALSE FALSE
## 59 88.29 FALSE FALSE
## 60 12.48 FALSE FALSE
## 61 67.2 FALSE FALSE
## 62 79.83 FALSE FALSE
## 63 94.95 FALSE FALSE
## 64 64.68 FALSE FALSE
## 65 58.71 FALSE FALSE
## 66 97.27 FALSE FALSE
## 67 95.13 FALSE FALSE
## 68 92.85 FALSE FALSE
## 69 6.68 FALSE FALSE
## 70 89.22 FALSE FALSE
## 71 92.57 FALSE FALSE
## 72 30.53 FALSE FALSE
## 73 88.44 FALSE FALSE
## 74 86.24 FALSE FALSE
## 75 64.33 FALSE FALSE
## 76 93.59 FALSE FALSE
## 77 90.68 FALSE FALSE
## 78 80.65 FALSE FALSE
## 79 98.12 FALSE FALSE
## 80 94.54 FALSE FALSE
## 81 95.32 FALSE FALSE
## 82 72.27 FALSE FALSE
## 83 91.41 FALSE FALSE
## 84 81.37 FALSE FALSE
## 85 96.56 FALSE FALSE
## 86 89.73 FALSE FALSE
## 87 80.47 FALSE FALSE
## 88 92.35 FALSE FALSE
## 89 60.67 FALSE FALSE
## 90 86.34 FALSE FALSE
## 91 86.87 FALSE FALSE
## 92 85.82 FALSE FALSE
## 93 11.46 FALSE FALSE
## 94 82.22 FALSE FALSE
## 95 63.05 FALSE FALSE
## 96 53.99 FALSE FALSE
## 97 69.18 FALSE FALSE
## 98 89.97 FALSE FALSE
## 99 95.42 FALSE FALSE
## 100 91.49 FALSE FALSE
## 101 36.48 FALSE FALSE
## 102 77.69 FALSE FALSE
## 103 66.7 FALSE FALSE
## 104 73.19 FALSE FALSE
## 105 84 FALSE FALSE
## 106 86.75 FALSE FALSE
## 107 34.48 FALSE FALSE
## 108 81.51 FALSE FALSE
## 109 79.63 FALSE FALSE
## 110 51.85 FALSE FALSE
## 111 42.27 FALSE FALSE
## 112 92.95 FALSE FALSE
## 113 95.75 FALSE FALSE
## 114 67.71 FALSE FALSE
## 115 94.32 FALSE FALSE
## 116 70.66 FALSE FALSE
## 117 66.02 FALSE FALSE
## 118 90.08 FALSE FALSE
## 119 55.12 FALSE FALSE
## 120 46 FALSE FALSE
## 121 83.92 FALSE FALSE
## 122 24.41 FALSE FALSE
## 123 72.96 FALSE FALSE
## 124 96.07 FALSE FALSE
## 125 51.66 FALSE FALSE
## 126 81.29 FALSE FALSE
## 127 90.45 FALSE FALSE
## 128 94.17 FALSE FALSE
## 129 68.63 FALSE FALSE
## 130 83.75 FALSE FALSE
## 131 76.21 FALSE FALSE
## 132 79.62 FALSE FALSE
## 133 97.71 FALSE FALSE
## 134 88.17 FALSE FALSE
## 135 69.18 FALSE FALSE
## 136 62.21 FALSE FALSE
## 137 90.38 FALSE FALSE
## 138 70.8 FALSE FALSE
## 139 97.45 FALSE FALSE
## 140 44.47 FALSE FALSE
## 141 88.61 FALSE FALSE
## 142 61.21 FALSE FALSE
## 143 84.58 FALSE FALSE
## 144 95.71 FALSE FALSE
## 145 93.98 FALSE FALSE
## 146 25.98 FALSE FALSE
## 147 46.29 FALSE FALSE
## 148 97.26 FALSE FALSE
## 149 91.78 FALSE FALSE
## 150 60.87 FALSE FALSE
## 151 6.44 FALSE FALSE
## 152 97.9 FALSE FALSE
## 153 92.2 FALSE FALSE
## 154 60.86 FALSE FALSE
## 155 37.83 FALSE FALSE
## 156 66.49 FALSE FALSE
## 157 75.94 FALSE FALSE
## 158 93.38 FALSE FALSE
## 159 21.39 FALSE FALSE
## 160 66.55 FALSE FALSE
## 161 54.87 FALSE FALSE
## 162 97.52 FALSE FALSE
## 163 67.37 FALSE FALSE
## 164 91.64 FALSE FALSE
## 165 69.84 FALSE FALSE
## 166 49.02 FALSE FALSE
## 167 95.21 FALSE FALSE
## 168 96.09 FALSE FALSE
## 169 86.21 FALSE FALSE
## 170 95.35 FALSE FALSE
## 171 80.23 FALSE FALSE
## 172 92.49 FALSE FALSE
## 173 86.68 FALSE FALSE
## 174 93.83 FALSE FALSE
## 175 91.31 FALSE FALSE
## 176 11.74 FALSE FALSE
## 177 95.8 FALSE FALSE
## 178 75.05 FALSE FALSE
## 179 12.76 FALSE FALSE
## 180 13.39 FALSE FALSE
## 181 52.14 FALSE FALSE
## 182 98.17 FALSE FALSE
## 183 45.1 FALSE FALSE
## 184 0 FALSE FALSE
## 185 100 FALSE FALSE
## 186 100 FALSE FALSE
## 187 80 FALSE FALSE
## 188 77.78 FALSE FALSE
## 189 75 FALSE FALSE
## 190 100 FALSE FALSE
## 191 100 FALSE FALSE
## 192 100 FALSE FALSE
#explore package
library(DataExplorer)
## Warning: package 'DataExplorer' was built under R version 4.1.2
plot_str(x)
plot_str(y)
x <- get_nCov2019()
## Warning in readRDS(system.file("country_translate.rds", package = "nCov2019")):
## strings not representable in native encoding will be translated to UTF-8
## Warning in readRDS(system.file("oversea_province_translate.rds", package =
## "nCov2019")): strings not representable in native encoding will be translated to
## UTF-8
## Warning in load(system.file("ncovEnv.rda", package = "nCov2019")): strings not
## representable in native encoding will be translated to UTF-8
## Warning in load(system.file("ncovEnv.rda", package = "nCov2019")): strings not
## representable in native encoding will be translated to UTF-8
## Warning in load(system.file("ncovEnv.rda", package = "nCov2019")): strings not
## representable in native encoding will be translated to UTF-8
## Warning in load(system.file("ncovEnv.rda", package = "nCov2019")): strings not
## representable in native encoding will be translated to UTF-8
## Warning in load(system.file("ncovEnv.rda", package = "nCov2019")): strings not
## representable in native encoding will be translated to UTF-8
## Warning in load(system.file("ncovEnv.rda", package = "nCov2019")): strings not
## representable in native encoding will be translated to UTF-8
## Warning in load(system.file("ncovEnv.rda", package = "nCov2019")): strings not
## representable in native encoding will be translated to UTF-8
## Warning in load(system.file("ncovEnv.rda", package = "nCov2019")): strings not
## representable in native encoding will be translated to UTF-8
## Warning in load(system.file("ncovEnv.rda", package = "nCov2019")): strings not
## representable in native encoding will be translated to UTF-8
## Warning in load(system.file("ncovEnv.rda", package = "nCov2019")): strings not
## representable in native encoding will be translated to UTF-8
## Warning in load(system.file("ncovEnv.rda", package = "nCov2019")): strings not
## representable in native encoding will be translated to UTF-8
## Warning in load(system.file("ncovEnv.rda", package = "nCov2019")): strings not
## representable in native encoding will be translated to UTF-8
## Warning in load(system.file("ncovEnv.rda", package = "nCov2019")): strings not
## representable in native encoding will be translated to UTF-8
## Warning in load(system.file("ncovEnv.rda", package = "nCov2019")): strings not
## representable in native encoding will be translated to UTF-8
## Warning in load(system.file("ncovEnv.rda", package = "nCov2019")): strings not
## representable in native encoding will be translated to UTF-8
## Warning in load(system.file("ncovEnv.rda", package = "nCov2019")): strings not
## representable in native encoding will be translated to UTF-8
## Warning in load(system.file("ncovEnv.rda", package = "nCov2019")): strings not
## representable in native encoding will be translated to UTF-8
## Warning in load(system.file("ncovEnv.rda", package = "nCov2019")): strings not
## representable in native encoding will be translated to UTF-8
## Warning in load(system.file("ncovEnv.rda", package = "nCov2019")): strings not
## representable in native encoding will be translated to UTF-8
## Warning in load(system.file("ncovEnv.rda", package = "nCov2019")): strings not
## representable in native encoding will be translated to UTF-8
## Warning in load(system.file("ncovEnv.rda", package = "nCov2019")): strings not
## representable in native encoding will be translated to UTF-8
## Warning in load(system.file("ncovEnv.rda", package = "nCov2019")): strings not
## representable in native encoding will be translated to UTF-8
## Warning in load(system.file("ncovEnv.rda", package = "nCov2019")): strings not
## representable in native encoding will be translated to UTF-8
## Warning in load(system.file("ncovEnv.rda", package = "nCov2019")): strings not
## representable in native encoding will be translated to UTF-8
## Warning in load(system.file("ncovEnv.rda", package = "nCov2019")): strings not
## representable in native encoding will be translated to UTF-8
## Warning in load(system.file("ncovEnv.rda", package = "nCov2019")): strings not
## representable in native encoding will be translated to UTF-8
## Warning in load(system.file("ncovEnv.rda", package = "nCov2019")): strings not
## representable in native encoding will be translated to UTF-8
## Warning in load(system.file("ncovEnv.rda", package = "nCov2019")): strings not
## representable in native encoding will be translated to UTF-8
## Warning in load(system.file("ncovEnv.rda", package = "nCov2019")): strings not
## representable in native encoding will be translated to UTF-8
## Warning in load(system.file("ncovEnv.rda", package = "nCov2019")): strings not
## representable in native encoding will be translated to UTF-8
## Warning in load(system.file("ncovEnv.rda", package = "nCov2019")): strings not
## representable in native encoding will be translated to UTF-8
## Warning in load(system.file("ncovEnv.rda", package = "nCov2019")): strings not
## representable in native encoding will be translated to UTF-8
## Warning in load(system.file("ncovEnv.rda", package = "nCov2019")): strings not
## representable in native encoding will be translated to UTF-8
## Warning in load(system.file("ncovEnv.rda", package = "nCov2019")): strings not
## representable in native encoding will be translated to UTF-8
## Warning in load(system.file("ncovEnv.rda", package = "nCov2019")): strings not
## representable in native encoding will be translated to UTF-8
x
## China (total confirmed cases): 130885
## last update: 2021-12-27 20:25:02
plot(x) #plot global map
## Warning: Ignoring unknown aesthetics: x, y
