#installing zoo package
library(tidyverse)
library(knitr)
library(readxl)
library(zoo)
#this adds all of these packages into our library for this project
#Question 1:
url = 'https://raw.githubusercontent.com/nytimes/covid-19-data/master/us-counties.csv'
covid = read_csv(url)
#Importing data via url
url = 'https://raw.githubusercontent.com/nytimes/covid-19-data/master/us-counties.csv'
covid = read_csv(url)
#Filtering our data to only generate results for New Cases each day to only California Counties
#Dataframe showing Cumulative cases in descending order
covid2 = covid %>%
filter(state == ("California")) %>%
group_by(county) %>%
mutate(newCases = cases - lag(cases)) %>%
ungroup() %>%
filter(date == max(date))%>%
select(state, county, cases, newCases) %>%
slice_max(cases, n = 5)
#Dataframe showing new cases in descending order
covid3 = covid %>%
filter(state == ("California")) %>%
group_by(county) %>%
mutate(newCases = cases - lag(cases)) %>%
ungroup() %>%
filter(date == max(date))%>%
select(state, county, cases, newCases) %>%
slice_max(newCases, n = 5)
#shows our data table with captions for how to interpret the results.
knitr::kable(covid3,
caption = "Most New Cases California Counties",
col.names = c("State", "County", "Cases", "New Cases"))
State | County | Cases | New Cases |
---|---|---|---|
California | Los Angeles | 253985 | 809 |
California | San Diego | 42742 | 265 |
California | Orange | 52121 | 185 |
California | Fresno | 27076 | 159 |
California | San Bernardino | 50699 | 156 |
knitr::kable(covid2,
caption = "Most Cumulative Cases California Counties",
col.names = c("State", "County", "Cases", "New Cases"))
State | County | Cases | New Cases |
---|---|---|---|
California | Los Angeles | 253985 | 809 |
California | Riverside | 55073 | 0 |
California | Orange | 52121 | 185 |
California | San Bernardino | 50699 | 156 |
California | San Diego | 42742 | 265 |
#allows us to read excel files for the data we are about to import.
library(readxl)
#loading the downloaded excel data
library(readxl)
Pop <- read_excel("~/github/geog-176A-labs/data/PopulationEstimates.xls", skip = 2)
Pop2 = Pop %>%
select(fips = FIPStxt, state = State, Area_Name, pop_2019 = POP_ESTIMATE_2019) %>%
right_join(covid, pop, by = "fips") %>%
filter(date >= max(date)-13, state.y == "California") %>%
group_by(county) %>%
mutate(cumul_per_cap = sum(cases) / pop_2019) %>%
mutate(new_cases_per_cap = sum(cases - lag(cases), na.rm= TRUE)/ pop_2019) %>%
select(county, cumul_per_cap, new_cases_per_cap)
(most_new_cases_per_cap = Pop2 %>%
slice_max(new_cases_per_cap, n = 5) %>%
select(county, cumul_per_cap))
## # A tibble: 812 x 2
## # Groups: county [58]
## county cumul_per_cap
## <chr> <dbl>
## 1 Alameda 0.161
## 2 Alameda 0.161
## 3 Alameda 0.161
## 4 Alameda 0.161
## 5 Alameda 0.161
## 6 Alameda 0.161
## 7 Alameda 0.161
## 8 Alameda 0.161
## 9 Alameda 0.161
## 10 Alameda 0.161
## # … with 802 more rows
(most_cumul_per_cap = Pop2 %>%
slice_max(cumul_per_cap, n = 5) %>%
select(county, cumul_per_cap))
## # A tibble: 812 x 2
## # Groups: county [58]
## county cumul_per_cap
## <chr> <dbl>
## 1 Alameda 0.161
## 2 Alameda 0.161
## 3 Alameda 0.161
## 4 Alameda 0.161
## 5 Alameda 0.161
## 6 Alameda 0.161
## 7 Alameda 0.161
## 8 Alameda 0.161
## 9 Alameda 0.161
## 10 Alameda 0.161
## # … with 802 more rows
library(formattable)
knitr::kable(most_new_cases_per_cap,
caption = "Most New Cases Per Capita: California",
col.names = c("County", "New Cases Per Capita"),
format.args = list(big.mark = ","))
County | New Cases Per Capita |
---|---|
Alameda | 0.1612555 |
Alameda | 0.1612555 |
Alameda | 0.1612555 |
Alameda | 0.1612555 |
Alameda | 0.1612555 |
Alameda | 0.1612555 |
Alameda | 0.1612555 |
Alameda | 0.1612555 |
Alameda | 0.1612555 |
Alameda | 0.1612555 |
Alameda | 0.1612555 |
Alameda | 0.1612555 |
Alameda | 0.1612555 |
Alameda | 0.1612555 |
Alpine | 0.0248007 |
Alpine | 0.0248007 |
Alpine | 0.0248007 |
Alpine | 0.0248007 |
Alpine | 0.0248007 |
Alpine | 0.0248007 |
Alpine | 0.0248007 |
Alpine | 0.0248007 |
Alpine | 0.0248007 |
Alpine | 0.0248007 |
Alpine | 0.0248007 |
Alpine | 0.0248007 |
Alpine | 0.0248007 |
Alpine | 0.0248007 |
Amador | 0.0934544 |
Amador | 0.0934544 |
Amador | 0.0934544 |
Amador | 0.0934544 |
Amador | 0.0934544 |
Amador | 0.0934544 |
Amador | 0.0934544 |
Amador | 0.0934544 |
Amador | 0.0934544 |
Amador | 0.0934544 |
Amador | 0.0934544 |
Amador | 0.0934544 |
Amador | 0.0934544 |
Amador | 0.0934544 |
Butte | 0.1526147 |
Butte | 0.1526147 |
Butte | 0.1526147 |
Butte | 0.1526147 |
Butte | 0.1526147 |
Butte | 0.1526147 |
Butte | 0.1526147 |
Butte | 0.1526147 |
Butte | 0.1526147 |
Butte | 0.1526147 |
Butte | 0.1526147 |
Butte | 0.1526147 |
Butte | 0.1526147 |
Butte | 0.1526147 |
Calaveras | 0.0838906 |
Calaveras | 0.0838906 |
Calaveras | 0.0838906 |
Calaveras | 0.0838906 |
Calaveras | 0.0838906 |
Calaveras | 0.0838906 |
Calaveras | 0.0838906 |
Calaveras | 0.0838906 |
Calaveras | 0.0838906 |
Calaveras | 0.0838906 |
Calaveras | 0.0838906 |
Calaveras | 0.0838906 |
Calaveras | 0.0838906 |
Calaveras | 0.0838906 |
Colusa | 0.3080707 |
Colusa | 0.3080707 |
Colusa | 0.3080707 |
Colusa | 0.3080707 |
Colusa | 0.3080707 |
Colusa | 0.3080707 |
Colusa | 0.3080707 |
Colusa | 0.3080707 |
Colusa | 0.3080707 |
Colusa | 0.3080707 |
Colusa | 0.3080707 |
Colusa | 0.3080707 |
Colusa | 0.3080707 |
Colusa | 0.3080707 |
Contra Costa | 0.1774108 |
Contra Costa | 0.1774108 |
Contra Costa | 0.1774108 |
Contra Costa | 0.1774108 |
Contra Costa | 0.1774108 |
Contra Costa | 0.1774108 |
Contra Costa | 0.1774108 |
Contra Costa | 0.1774108 |
Contra Costa | 0.1774108 |
Contra Costa | 0.1774108 |
Contra Costa | 0.1774108 |
Contra Costa | 0.1774108 |
Contra Costa | 0.1774108 |
Contra Costa | 0.1774108 |
Del Norte | 0.0630303 |
Del Norte | 0.0630303 |
Del Norte | 0.0630303 |
Del Norte | 0.0630303 |
Del Norte | 0.0630303 |
Del Norte | 0.0630303 |
Del Norte | 0.0630303 |
Del Norte | 0.0630303 |
Del Norte | 0.0630303 |
Del Norte | 0.0630303 |
Del Norte | 0.0630303 |
Del Norte | 0.0630303 |
Del Norte | 0.0630303 |
Del Norte | 0.0630303 |
El Dorado | 0.0730128 |
El Dorado | 0.0730128 |
El Dorado | 0.0730128 |
El Dorado | 0.0730128 |
El Dorado | 0.0730128 |
El Dorado | 0.0730128 |
El Dorado | 0.0730128 |
El Dorado | 0.0730128 |
El Dorado | 0.0730128 |
El Dorado | 0.0730128 |
El Dorado | 0.0730128 |
El Dorado | 0.0730128 |
El Dorado | 0.0730128 |
El Dorado | 0.0730128 |
Fresno | 0.3674313 |
Fresno | 0.3674313 |
Fresno | 0.3674313 |
Fresno | 0.3674313 |
Fresno | 0.3674313 |
Fresno | 0.3674313 |
Fresno | 0.3674313 |
Fresno | 0.3674313 |
Fresno | 0.3674313 |
Fresno | 0.3674313 |
Fresno | 0.3674313 |
Fresno | 0.3674313 |
Fresno | 0.3674313 |
Fresno | 0.3674313 |
Glenn | 0.2353397 |
Glenn | 0.2353397 |
Glenn | 0.2353397 |
Glenn | 0.2353397 |
Glenn | 0.2353397 |
Glenn | 0.2353397 |
Glenn | 0.2353397 |
Glenn | 0.2353397 |
Glenn | 0.2353397 |
Glenn | 0.2353397 |
Glenn | 0.2353397 |
Glenn | 0.2353397 |
Glenn | 0.2353397 |
Glenn | 0.2353397 |
Humboldt | 0.0432877 |
Humboldt | 0.0432877 |
Humboldt | 0.0432877 |
Humboldt | 0.0432877 |
Humboldt | 0.0432877 |
Humboldt | 0.0432877 |
Humboldt | 0.0432877 |
Humboldt | 0.0432877 |
Humboldt | 0.0432877 |
Humboldt | 0.0432877 |
Humboldt | 0.0432877 |
Humboldt | 0.0432877 |
Humboldt | 0.0432877 |
Humboldt | 0.0432877 |
Imperial | 0.8507629 |
Imperial | 0.8507629 |
Imperial | 0.8507629 |
Imperial | 0.8507629 |
Imperial | 0.8507629 |
Imperial | 0.8507629 |
Imperial | 0.8507629 |
Imperial | 0.8507629 |
Imperial | 0.8507629 |
Imperial | 0.8507629 |
Imperial | 0.8507629 |
Imperial | 0.8507629 |
Imperial | 0.8507629 |
Imperial | 0.8507629 |
Inyo | 0.1319364 |
Inyo | 0.1319364 |
Inyo | 0.1319364 |
Inyo | 0.1319364 |
Inyo | 0.1319364 |
Inyo | 0.1319364 |
Inyo | 0.1319364 |
Inyo | 0.1319364 |
Inyo | 0.1319364 |
Inyo | 0.1319364 |
Inyo | 0.1319364 |
Inyo | 0.1319364 |
Inyo | 0.1319364 |
Inyo | 0.1319364 |
Kern | 0.4679372 |
Kern | 0.4679372 |
Kern | 0.4679372 |
Kern | 0.4679372 |
Kern | 0.4679372 |
Kern | 0.4679372 |
Kern | 0.4679372 |
Kern | 0.4679372 |
Kern | 0.4679372 |
Kern | 0.4679372 |
Kern | 0.4679372 |
Kern | 0.4679372 |
Kern | 0.4679372 |
Kern | 0.4679372 |
Kings | 0.6176017 |
Kings | 0.6176017 |
Kings | 0.6176017 |
Kings | 0.6176017 |
Kings | 0.6176017 |
Kings | 0.6176017 |
Kings | 0.6176017 |
Kings | 0.6176017 |
Kings | 0.6176017 |
Kings | 0.6176017 |
Kings | 0.6176017 |
Kings | 0.6176017 |
Kings | 0.6176017 |
Kings | 0.6176017 |
Lake | 0.0781692 |
Lake | 0.0781692 |
Lake | 0.0781692 |
Lake | 0.0781692 |
Lake | 0.0781692 |
Lake | 0.0781692 |
Lake | 0.0781692 |
Lake | 0.0781692 |
Lake | 0.0781692 |
Lake | 0.0781692 |
Lake | 0.0781692 |
Lake | 0.0781692 |
Lake | 0.0781692 |
Lake | 0.0781692 |
Lassen | 0.3303569 |
Lassen | 0.3303569 |
Lassen | 0.3303569 |
Lassen | 0.3303569 |
Lassen | 0.3303569 |
Lassen | 0.3303569 |
Lassen | 0.3303569 |
Lassen | 0.3303569 |
Lassen | 0.3303569 |
Lassen | 0.3303569 |
Lassen | 0.3303569 |
Lassen | 0.3303569 |
Lassen | 0.3303569 |
Lassen | 0.3303569 |
Los Angeles | 0.3460146 |
Los Angeles | 0.3460146 |
Los Angeles | 0.3460146 |
Los Angeles | 0.3460146 |
Los Angeles | 0.3460146 |
Los Angeles | 0.3460146 |
Los Angeles | 0.3460146 |
Los Angeles | 0.3460146 |
Los Angeles | 0.3460146 |
Los Angeles | 0.3460146 |
Los Angeles | 0.3460146 |
Los Angeles | 0.3460146 |
Los Angeles | 0.3460146 |
Los Angeles | 0.3460146 |
Madera | 0.3547643 |
Madera | 0.3547643 |
Madera | 0.3547643 |
Madera | 0.3547643 |
Madera | 0.3547643 |
Madera | 0.3547643 |
Madera | 0.3547643 |
Madera | 0.3547643 |
Madera | 0.3547643 |
Madera | 0.3547643 |
Madera | 0.3547643 |
Madera | 0.3547643 |
Madera | 0.3547643 |
Madera | 0.3547643 |
Marin | 0.3426279 |
Marin | 0.3426279 |
Marin | 0.3426279 |
Marin | 0.3426279 |
Marin | 0.3426279 |
Marin | 0.3426279 |
Marin | 0.3426279 |
Marin | 0.3426279 |
Marin | 0.3426279 |
Marin | 0.3426279 |
Marin | 0.3426279 |
Marin | 0.3426279 |
Marin | 0.3426279 |
Marin | 0.3426279 |
Mariposa | 0.0601639 |
Mariposa | 0.0601639 |
Mariposa | 0.0601639 |
Mariposa | 0.0601639 |
Mariposa | 0.0601639 |
Mariposa | 0.0601639 |
Mariposa | 0.0601639 |
Mariposa | 0.0601639 |
Mariposa | 0.0601639 |
Mariposa | 0.0601639 |
Mariposa | 0.0601639 |
Mariposa | 0.0601639 |
Mariposa | 0.0601639 |
Mariposa | 0.0601639 |
Mendocino | 0.1218804 |
Mendocino | 0.1218804 |
Mendocino | 0.1218804 |
Mendocino | 0.1218804 |
Mendocino | 0.1218804 |
Mendocino | 0.1218804 |
Mendocino | 0.1218804 |
Mendocino | 0.1218804 |
Mendocino | 0.1218804 |
Mendocino | 0.1218804 |
Mendocino | 0.1218804 |
Mendocino | 0.1218804 |
Mendocino | 0.1218804 |
Mendocino | 0.1218804 |
Merced | 0.4198358 |
Merced | 0.4198358 |
Merced | 0.4198358 |
Merced | 0.4198358 |
Merced | 0.4198358 |
Merced | 0.4198358 |
Merced | 0.4198358 |
Merced | 0.4198358 |
Merced | 0.4198358 |
Merced | 0.4198358 |
Merced | 0.4198358 |
Merced | 0.4198358 |
Merced | 0.4198358 |
Merced | 0.4198358 |
Modoc | 0.0262414 |
Modoc | 0.0262414 |
Modoc | 0.0262414 |
Modoc | 0.0262414 |
Modoc | 0.0262414 |
Modoc | 0.0262414 |
Modoc | 0.0262414 |
Modoc | 0.0262414 |
Modoc | 0.0262414 |
Modoc | 0.0262414 |
Modoc | 0.0262414 |
Modoc | 0.0262414 |
Modoc | 0.0262414 |
Modoc | 0.0262414 |
Mono | 0.1572279 |
Mono | 0.1572279 |
Mono | 0.1572279 |
Mono | 0.1572279 |
Mono | 0.1572279 |
Mono | 0.1572279 |
Mono | 0.1572279 |
Mono | 0.1572279 |
Mono | 0.1572279 |
Mono | 0.1572279 |
Mono | 0.1572279 |
Mono | 0.1572279 |
Mono | 0.1572279 |
Mono | 0.1572279 |
Monterey | 0.2745213 |
Monterey | 0.2745213 |
Monterey | 0.2745213 |
Monterey | 0.2745213 |
Monterey | 0.2745213 |
Monterey | 0.2745213 |
Monterey | 0.2745213 |
Monterey | 0.2745213 |
Monterey | 0.2745213 |
Monterey | 0.2745213 |
Monterey | 0.2745213 |
Monterey | 0.2745213 |
Monterey | 0.2745213 |
Monterey | 0.2745213 |
Napa | 0.1519631 |
Napa | 0.1519631 |
Napa | 0.1519631 |
Napa | 0.1519631 |
Napa | 0.1519631 |
Napa | 0.1519631 |
Napa | 0.1519631 |
Napa | 0.1519631 |
Napa | 0.1519631 |
Napa | 0.1519631 |
Napa | 0.1519631 |
Napa | 0.1519631 |
Napa | 0.1519631 |
Napa | 0.1519631 |
Nevada | 0.0652298 |
Nevada | 0.0652298 |
Nevada | 0.0652298 |
Nevada | 0.0652298 |
Nevada | 0.0652298 |
Nevada | 0.0652298 |
Nevada | 0.0652298 |
Nevada | 0.0652298 |
Nevada | 0.0652298 |
Nevada | 0.0652298 |
Nevada | 0.0652298 |
Nevada | 0.0652298 |
Nevada | 0.0652298 |
Nevada | 0.0652298 |
Orange | 0.2230194 |
Orange | 0.2230194 |
Orange | 0.2230194 |
Orange | 0.2230194 |
Orange | 0.2230194 |
Orange | 0.2230194 |
Orange | 0.2230194 |
Orange | 0.2230194 |
Orange | 0.2230194 |
Orange | 0.2230194 |
Orange | 0.2230194 |
Orange | 0.2230194 |
Orange | 0.2230194 |
Orange | 0.2230194 |
Placer | 0.1114857 |
Placer | 0.1114857 |
Placer | 0.1114857 |
Placer | 0.1114857 |
Placer | 0.1114857 |
Placer | 0.1114857 |
Placer | 0.1114857 |
Placer | 0.1114857 |
Placer | 0.1114857 |
Placer | 0.1114857 |
Placer | 0.1114857 |
Placer | 0.1114857 |
Placer | 0.1114857 |
Placer | 0.1114857 |
Plumas | 0.0304674 |
Plumas | 0.0304674 |
Plumas | 0.0304674 |
Plumas | 0.0304674 |
Plumas | 0.0304674 |
Plumas | 0.0304674 |
Plumas | 0.0304674 |
Plumas | 0.0304674 |
Plumas | 0.0304674 |
Plumas | 0.0304674 |
Plumas | 0.0304674 |
Plumas | 0.0304674 |
Plumas | 0.0304674 |
Plumas | 0.0304674 |
Riverside | 0.3069819 |
Riverside | 0.3069819 |
Riverside | 0.3069819 |
Riverside | 0.3069819 |
Riverside | 0.3069819 |
Riverside | 0.3069819 |
Riverside | 0.3069819 |
Riverside | 0.3069819 |
Riverside | 0.3069819 |
Riverside | 0.3069819 |
Riverside | 0.3069819 |
Riverside | 0.3069819 |
Riverside | 0.3069819 |
Riverside | 0.3069819 |
Sacramento | 0.1728247 |
Sacramento | 0.1728247 |
Sacramento | 0.1728247 |
Sacramento | 0.1728247 |
Sacramento | 0.1728247 |
Sacramento | 0.1728247 |
Sacramento | 0.1728247 |
Sacramento | 0.1728247 |
Sacramento | 0.1728247 |
Sacramento | 0.1728247 |
Sacramento | 0.1728247 |
Sacramento | 0.1728247 |
Sacramento | 0.1728247 |
Sacramento | 0.1728247 |
San Benito | 0.2627213 |
San Benito | 0.2627213 |
San Benito | 0.2627213 |
San Benito | 0.2627213 |
San Benito | 0.2627213 |
San Benito | 0.2627213 |
San Benito | 0.2627213 |
San Benito | 0.2627213 |
San Benito | 0.2627213 |
San Benito | 0.2627213 |
San Benito | 0.2627213 |
San Benito | 0.2627213 |
San Benito | 0.2627213 |
San Benito | 0.2627213 |
San Bernardino | 0.3168546 |
San Bernardino | 0.3168546 |
San Bernardino | 0.3168546 |
San Bernardino | 0.3168546 |
San Bernardino | 0.3168546 |
San Bernardino | 0.3168546 |
San Bernardino | 0.3168546 |
San Bernardino | 0.3168546 |
San Bernardino | 0.3168546 |
San Bernardino | 0.3168546 |
San Bernardino | 0.3168546 |
San Bernardino | 0.3168546 |
San Bernardino | 0.3168546 |
San Bernardino | 0.3168546 |
San Diego | 0.1706057 |
San Diego | 0.1706057 |
San Diego | 0.1706057 |
San Diego | 0.1706057 |
San Diego | 0.1706057 |
San Diego | 0.1706057 |
San Diego | 0.1706057 |
San Diego | 0.1706057 |
San Diego | 0.1706057 |
San Diego | 0.1706057 |
San Diego | 0.1706057 |
San Diego | 0.1706057 |
San Diego | 0.1706057 |
San Diego | 0.1706057 |
San Francisco | 0.1574581 |
San Francisco | 0.1574581 |
San Francisco | 0.1574581 |
San Francisco | 0.1574581 |
San Francisco | 0.1574581 |
San Francisco | 0.1574581 |
San Francisco | 0.1574581 |
San Francisco | 0.1574581 |
San Francisco | 0.1574581 |
San Francisco | 0.1574581 |
San Francisco | 0.1574581 |
San Francisco | 0.1574581 |
San Francisco | 0.1574581 |
San Francisco | 0.1574581 |
San Joaquin | 0.3389355 |
San Joaquin | 0.3389355 |
San Joaquin | 0.3389355 |
San Joaquin | 0.3389355 |
San Joaquin | 0.3389355 |
San Joaquin | 0.3389355 |
San Joaquin | 0.3389355 |
San Joaquin | 0.3389355 |
San Joaquin | 0.3389355 |
San Joaquin | 0.3389355 |
San Joaquin | 0.3389355 |
San Joaquin | 0.3389355 |
San Joaquin | 0.3389355 |
San Joaquin | 0.3389355 |
San Luis Obispo | 0.1539220 |
San Luis Obispo | 0.1539220 |
San Luis Obispo | 0.1539220 |
San Luis Obispo | 0.1539220 |
San Luis Obispo | 0.1539220 |
San Luis Obispo | 0.1539220 |
San Luis Obispo | 0.1539220 |
San Luis Obispo | 0.1539220 |
San Luis Obispo | 0.1539220 |
San Luis Obispo | 0.1539220 |
San Luis Obispo | 0.1539220 |
San Luis Obispo | 0.1539220 |
San Luis Obispo | 0.1539220 |
San Luis Obispo | 0.1539220 |
San Mateo | 0.1578519 |
San Mateo | 0.1578519 |
San Mateo | 0.1578519 |
San Mateo | 0.1578519 |
San Mateo | 0.1578519 |
San Mateo | 0.1578519 |
San Mateo | 0.1578519 |
San Mateo | 0.1578519 |
San Mateo | 0.1578519 |
San Mateo | 0.1578519 |
San Mateo | 0.1578519 |
San Mateo | 0.1578519 |
San Mateo | 0.1578519 |
San Mateo | 0.1578519 |
Santa Barbara | 0.2640140 |
Santa Barbara | 0.2640140 |
Santa Barbara | 0.2640140 |
Santa Barbara | 0.2640140 |
Santa Barbara | 0.2640140 |
Santa Barbara | 0.2640140 |
Santa Barbara | 0.2640140 |
Santa Barbara | 0.2640140 |
Santa Barbara | 0.2640140 |
Santa Barbara | 0.2640140 |
Santa Barbara | 0.2640140 |
Santa Barbara | 0.2640140 |
Santa Barbara | 0.2640140 |
Santa Barbara | 0.2640140 |
Santa Clara | 0.1343900 |
Santa Clara | 0.1343900 |
Santa Clara | 0.1343900 |
Santa Clara | 0.1343900 |
Santa Clara | 0.1343900 |
Santa Clara | 0.1343900 |
Santa Clara | 0.1343900 |
Santa Clara | 0.1343900 |
Santa Clara | 0.1343900 |
Santa Clara | 0.1343900 |
Santa Clara | 0.1343900 |
Santa Clara | 0.1343900 |
Santa Clara | 0.1343900 |
Santa Clara | 0.1343900 |
Santa Cruz | 0.0989448 |
Santa Cruz | 0.0989448 |
Santa Cruz | 0.0989448 |
Santa Cruz | 0.0989448 |
Santa Cruz | 0.0989448 |
Santa Cruz | 0.0989448 |
Santa Cruz | 0.0989448 |
Santa Cruz | 0.0989448 |
Santa Cruz | 0.0989448 |
Santa Cruz | 0.0989448 |
Santa Cruz | 0.0989448 |
Santa Cruz | 0.0989448 |
Santa Cruz | 0.0989448 |
Santa Cruz | 0.0989448 |
Shasta | 0.0459351 |
Shasta | 0.0459351 |
Shasta | 0.0459351 |
Shasta | 0.0459351 |
Shasta | 0.0459351 |
Shasta | 0.0459351 |
Shasta | 0.0459351 |
Shasta | 0.0459351 |
Shasta | 0.0459351 |
Shasta | 0.0459351 |
Shasta | 0.0459351 |
Shasta | 0.0459351 |
Shasta | 0.0459351 |
Shasta | 0.0459351 |
Sierra | 0.0279534 |
Sierra | 0.0279534 |
Sierra | 0.0279534 |
Sierra | 0.0279534 |
Sierra | 0.0279534 |
Sierra | 0.0279534 |
Sierra | 0.0279534 |
Sierra | 0.0279534 |
Sierra | 0.0279534 |
Sierra | 0.0279534 |
Sierra | 0.0279534 |
Sierra | 0.0279534 |
Sierra | 0.0279534 |
Sierra | 0.0279534 |
Siskiyou | 0.0471531 |
Siskiyou | 0.0471531 |
Siskiyou | 0.0471531 |
Siskiyou | 0.0471531 |
Siskiyou | 0.0471531 |
Siskiyou | 0.0471531 |
Siskiyou | 0.0471531 |
Siskiyou | 0.0471531 |
Siskiyou | 0.0471531 |
Siskiyou | 0.0471531 |
Siskiyou | 0.0471531 |
Siskiyou | 0.0471531 |
Siskiyou | 0.0471531 |
Siskiyou | 0.0471531 |
Solano | 0.1783497 |
Solano | 0.1783497 |
Solano | 0.1783497 |
Solano | 0.1783497 |
Solano | 0.1783497 |
Solano | 0.1783497 |
Solano | 0.1783497 |
Solano | 0.1783497 |
Solano | 0.1783497 |
Solano | 0.1783497 |
Solano | 0.1783497 |
Solano | 0.1783497 |
Solano | 0.1783497 |
Solano | 0.1783497 |
Sonoma | 0.1788824 |
Sonoma | 0.1788824 |
Sonoma | 0.1788824 |
Sonoma | 0.1788824 |
Sonoma | 0.1788824 |
Sonoma | 0.1788824 |
Sonoma | 0.1788824 |
Sonoma | 0.1788824 |
Sonoma | 0.1788824 |
Sonoma | 0.1788824 |
Sonoma | 0.1788824 |
Sonoma | 0.1788824 |
Sonoma | 0.1788824 |
Sonoma | 0.1788824 |
Stanislaus | 0.3913304 |
Stanislaus | 0.3913304 |
Stanislaus | 0.3913304 |
Stanislaus | 0.3913304 |
Stanislaus | 0.3913304 |
Stanislaus | 0.3913304 |
Stanislaus | 0.3913304 |
Stanislaus | 0.3913304 |
Stanislaus | 0.3913304 |
Stanislaus | 0.3913304 |
Stanislaus | 0.3913304 |
Stanislaus | 0.3913304 |
Stanislaus | 0.3913304 |
Stanislaus | 0.3913304 |
Sutter | 0.2155799 |
Sutter | 0.2155799 |
Sutter | 0.2155799 |
Sutter | 0.2155799 |
Sutter | 0.2155799 |
Sutter | 0.2155799 |
Sutter | 0.2155799 |
Sutter | 0.2155799 |
Sutter | 0.2155799 |
Sutter | 0.2155799 |
Sutter | 0.2155799 |
Sutter | 0.2155799 |
Sutter | 0.2155799 |
Sutter | 0.2155799 |
Tehama | 0.0959837 |
Tehama | 0.0959837 |
Tehama | 0.0959837 |
Tehama | 0.0959837 |
Tehama | 0.0959837 |
Tehama | 0.0959837 |
Tehama | 0.0959837 |
Tehama | 0.0959837 |
Tehama | 0.0959837 |
Tehama | 0.0959837 |
Tehama | 0.0959837 |
Tehama | 0.0959837 |
Tehama | 0.0959837 |
Tehama | 0.0959837 |
Trinity | 0.0166056 |
Trinity | 0.0166056 |
Trinity | 0.0166056 |
Trinity | 0.0166056 |
Trinity | 0.0166056 |
Trinity | 0.0166056 |
Trinity | 0.0166056 |
Trinity | 0.0166056 |
Trinity | 0.0166056 |
Trinity | 0.0166056 |
Trinity | 0.0166056 |
Trinity | 0.0166056 |
Trinity | 0.0166056 |
Trinity | 0.0166056 |
Tulare | 0.4424200 |
Tulare | 0.4424200 |
Tulare | 0.4424200 |
Tulare | 0.4424200 |
Tulare | 0.4424200 |
Tulare | 0.4424200 |
Tulare | 0.4424200 |
Tulare | 0.4424200 |
Tulare | 0.4424200 |
Tulare | 0.4424200 |
Tulare | 0.4424200 |
Tulare | 0.4424200 |
Tulare | 0.4424200 |
Tulare | 0.4424200 |
Tuolumne | 0.0509380 |
Tuolumne | 0.0509380 |
Tuolumne | 0.0509380 |
Tuolumne | 0.0509380 |
Tuolumne | 0.0509380 |
Tuolumne | 0.0509380 |
Tuolumne | 0.0509380 |
Tuolumne | 0.0509380 |
Tuolumne | 0.0509380 |
Tuolumne | 0.0509380 |
Tuolumne | 0.0509380 |
Tuolumne | 0.0509380 |
Tuolumne | 0.0509380 |
Tuolumne | 0.0509380 |
Ventura | 0.1866583 |
Ventura | 0.1866583 |
Ventura | 0.1866583 |
Ventura | 0.1866583 |
Ventura | 0.1866583 |
Ventura | 0.1866583 |
Ventura | 0.1866583 |
Ventura | 0.1866583 |
Ventura | 0.1866583 |
Ventura | 0.1866583 |
Ventura | 0.1866583 |
Ventura | 0.1866583 |
Ventura | 0.1866583 |
Ventura | 0.1866583 |
Yolo | 0.1616689 |
Yolo | 0.1616689 |
Yolo | 0.1616689 |
Yolo | 0.1616689 |
Yolo | 0.1616689 |
Yolo | 0.1616689 |
Yolo | 0.1616689 |
Yolo | 0.1616689 |
Yolo | 0.1616689 |
Yolo | 0.1616689 |
Yolo | 0.1616689 |
Yolo | 0.1616689 |
Yolo | 0.1616689 |
Yolo | 0.1616689 |
Yuba | 0.1785605 |
Yuba | 0.1785605 |
Yuba | 0.1785605 |
Yuba | 0.1785605 |
Yuba | 0.1785605 |
Yuba | 0.1785605 |
Yuba | 0.1785605 |
Yuba | 0.1785605 |
Yuba | 0.1785605 |
Yuba | 0.1785605 |
Yuba | 0.1785605 |
Yuba | 0.1785605 |
Yuba | 0.1785605 |
Yuba | 0.1785605 |
knitr::kable(most_cumul_per_cap,
caption = "Most Cumulative Cases Per Capita: California",
col.names = c("County", "Cumulative Cases Per Capita"),
format.args = list(big.mark = ","))
County | Cumulative Cases Per Capita |
---|---|
Alameda | 0.1612555 |
Alameda | 0.1612555 |
Alameda | 0.1612555 |
Alameda | 0.1612555 |
Alameda | 0.1612555 |
Alameda | 0.1612555 |
Alameda | 0.1612555 |
Alameda | 0.1612555 |
Alameda | 0.1612555 |
Alameda | 0.1612555 |
Alameda | 0.1612555 |
Alameda | 0.1612555 |
Alameda | 0.1612555 |
Alameda | 0.1612555 |
Alpine | 0.0248007 |
Alpine | 0.0248007 |
Alpine | 0.0248007 |
Alpine | 0.0248007 |
Alpine | 0.0248007 |
Alpine | 0.0248007 |
Alpine | 0.0248007 |
Alpine | 0.0248007 |
Alpine | 0.0248007 |
Alpine | 0.0248007 |
Alpine | 0.0248007 |
Alpine | 0.0248007 |
Alpine | 0.0248007 |
Alpine | 0.0248007 |
Amador | 0.0934544 |
Amador | 0.0934544 |
Amador | 0.0934544 |
Amador | 0.0934544 |
Amador | 0.0934544 |
Amador | 0.0934544 |
Amador | 0.0934544 |
Amador | 0.0934544 |
Amador | 0.0934544 |
Amador | 0.0934544 |
Amador | 0.0934544 |
Amador | 0.0934544 |
Amador | 0.0934544 |
Amador | 0.0934544 |
Butte | 0.1526147 |
Butte | 0.1526147 |
Butte | 0.1526147 |
Butte | 0.1526147 |
Butte | 0.1526147 |
Butte | 0.1526147 |
Butte | 0.1526147 |
Butte | 0.1526147 |
Butte | 0.1526147 |
Butte | 0.1526147 |
Butte | 0.1526147 |
Butte | 0.1526147 |
Butte | 0.1526147 |
Butte | 0.1526147 |
Calaveras | 0.0838906 |
Calaveras | 0.0838906 |
Calaveras | 0.0838906 |
Calaveras | 0.0838906 |
Calaveras | 0.0838906 |
Calaveras | 0.0838906 |
Calaveras | 0.0838906 |
Calaveras | 0.0838906 |
Calaveras | 0.0838906 |
Calaveras | 0.0838906 |
Calaveras | 0.0838906 |
Calaveras | 0.0838906 |
Calaveras | 0.0838906 |
Calaveras | 0.0838906 |
Colusa | 0.3080707 |
Colusa | 0.3080707 |
Colusa | 0.3080707 |
Colusa | 0.3080707 |
Colusa | 0.3080707 |
Colusa | 0.3080707 |
Colusa | 0.3080707 |
Colusa | 0.3080707 |
Colusa | 0.3080707 |
Colusa | 0.3080707 |
Colusa | 0.3080707 |
Colusa | 0.3080707 |
Colusa | 0.3080707 |
Colusa | 0.3080707 |
Contra Costa | 0.1774108 |
Contra Costa | 0.1774108 |
Contra Costa | 0.1774108 |
Contra Costa | 0.1774108 |
Contra Costa | 0.1774108 |
Contra Costa | 0.1774108 |
Contra Costa | 0.1774108 |
Contra Costa | 0.1774108 |
Contra Costa | 0.1774108 |
Contra Costa | 0.1774108 |
Contra Costa | 0.1774108 |
Contra Costa | 0.1774108 |
Contra Costa | 0.1774108 |
Contra Costa | 0.1774108 |
Del Norte | 0.0630303 |
Del Norte | 0.0630303 |
Del Norte | 0.0630303 |
Del Norte | 0.0630303 |
Del Norte | 0.0630303 |
Del Norte | 0.0630303 |
Del Norte | 0.0630303 |
Del Norte | 0.0630303 |
Del Norte | 0.0630303 |
Del Norte | 0.0630303 |
Del Norte | 0.0630303 |
Del Norte | 0.0630303 |
Del Norte | 0.0630303 |
Del Norte | 0.0630303 |
El Dorado | 0.0730128 |
El Dorado | 0.0730128 |
El Dorado | 0.0730128 |
El Dorado | 0.0730128 |
El Dorado | 0.0730128 |
El Dorado | 0.0730128 |
El Dorado | 0.0730128 |
El Dorado | 0.0730128 |
El Dorado | 0.0730128 |
El Dorado | 0.0730128 |
El Dorado | 0.0730128 |
El Dorado | 0.0730128 |
El Dorado | 0.0730128 |
El Dorado | 0.0730128 |
Fresno | 0.3674313 |
Fresno | 0.3674313 |
Fresno | 0.3674313 |
Fresno | 0.3674313 |
Fresno | 0.3674313 |
Fresno | 0.3674313 |
Fresno | 0.3674313 |
Fresno | 0.3674313 |
Fresno | 0.3674313 |
Fresno | 0.3674313 |
Fresno | 0.3674313 |
Fresno | 0.3674313 |
Fresno | 0.3674313 |
Fresno | 0.3674313 |
Glenn | 0.2353397 |
Glenn | 0.2353397 |
Glenn | 0.2353397 |
Glenn | 0.2353397 |
Glenn | 0.2353397 |
Glenn | 0.2353397 |
Glenn | 0.2353397 |
Glenn | 0.2353397 |
Glenn | 0.2353397 |
Glenn | 0.2353397 |
Glenn | 0.2353397 |
Glenn | 0.2353397 |
Glenn | 0.2353397 |
Glenn | 0.2353397 |
Humboldt | 0.0432877 |
Humboldt | 0.0432877 |
Humboldt | 0.0432877 |
Humboldt | 0.0432877 |
Humboldt | 0.0432877 |
Humboldt | 0.0432877 |
Humboldt | 0.0432877 |
Humboldt | 0.0432877 |
Humboldt | 0.0432877 |
Humboldt | 0.0432877 |
Humboldt | 0.0432877 |
Humboldt | 0.0432877 |
Humboldt | 0.0432877 |
Humboldt | 0.0432877 |
Imperial | 0.8507629 |
Imperial | 0.8507629 |
Imperial | 0.8507629 |
Imperial | 0.8507629 |
Imperial | 0.8507629 |
Imperial | 0.8507629 |
Imperial | 0.8507629 |
Imperial | 0.8507629 |
Imperial | 0.8507629 |
Imperial | 0.8507629 |
Imperial | 0.8507629 |
Imperial | 0.8507629 |
Imperial | 0.8507629 |
Imperial | 0.8507629 |
Inyo | 0.1319364 |
Inyo | 0.1319364 |
Inyo | 0.1319364 |
Inyo | 0.1319364 |
Inyo | 0.1319364 |
Inyo | 0.1319364 |
Inyo | 0.1319364 |
Inyo | 0.1319364 |
Inyo | 0.1319364 |
Inyo | 0.1319364 |
Inyo | 0.1319364 |
Inyo | 0.1319364 |
Inyo | 0.1319364 |
Inyo | 0.1319364 |
Kern | 0.4679372 |
Kern | 0.4679372 |
Kern | 0.4679372 |
Kern | 0.4679372 |
Kern | 0.4679372 |
Kern | 0.4679372 |
Kern | 0.4679372 |
Kern | 0.4679372 |
Kern | 0.4679372 |
Kern | 0.4679372 |
Kern | 0.4679372 |
Kern | 0.4679372 |
Kern | 0.4679372 |
Kern | 0.4679372 |
Kings | 0.6176017 |
Kings | 0.6176017 |
Kings | 0.6176017 |
Kings | 0.6176017 |
Kings | 0.6176017 |
Kings | 0.6176017 |
Kings | 0.6176017 |
Kings | 0.6176017 |
Kings | 0.6176017 |
Kings | 0.6176017 |
Kings | 0.6176017 |
Kings | 0.6176017 |
Kings | 0.6176017 |
Kings | 0.6176017 |
Lake | 0.0781692 |
Lake | 0.0781692 |
Lake | 0.0781692 |
Lake | 0.0781692 |
Lake | 0.0781692 |
Lake | 0.0781692 |
Lake | 0.0781692 |
Lake | 0.0781692 |
Lake | 0.0781692 |
Lake | 0.0781692 |
Lake | 0.0781692 |
Lake | 0.0781692 |
Lake | 0.0781692 |
Lake | 0.0781692 |
Lassen | 0.3303569 |
Lassen | 0.3303569 |
Lassen | 0.3303569 |
Lassen | 0.3303569 |
Lassen | 0.3303569 |
Lassen | 0.3303569 |
Lassen | 0.3303569 |
Lassen | 0.3303569 |
Lassen | 0.3303569 |
Lassen | 0.3303569 |
Lassen | 0.3303569 |
Lassen | 0.3303569 |
Lassen | 0.3303569 |
Lassen | 0.3303569 |
Los Angeles | 0.3460146 |
Los Angeles | 0.3460146 |
Los Angeles | 0.3460146 |
Los Angeles | 0.3460146 |
Los Angeles | 0.3460146 |
Los Angeles | 0.3460146 |
Los Angeles | 0.3460146 |
Los Angeles | 0.3460146 |
Los Angeles | 0.3460146 |
Los Angeles | 0.3460146 |
Los Angeles | 0.3460146 |
Los Angeles | 0.3460146 |
Los Angeles | 0.3460146 |
Los Angeles | 0.3460146 |
Madera | 0.3547643 |
Madera | 0.3547643 |
Madera | 0.3547643 |
Madera | 0.3547643 |
Madera | 0.3547643 |
Madera | 0.3547643 |
Madera | 0.3547643 |
Madera | 0.3547643 |
Madera | 0.3547643 |
Madera | 0.3547643 |
Madera | 0.3547643 |
Madera | 0.3547643 |
Madera | 0.3547643 |
Madera | 0.3547643 |
Marin | 0.3426279 |
Marin | 0.3426279 |
Marin | 0.3426279 |
Marin | 0.3426279 |
Marin | 0.3426279 |
Marin | 0.3426279 |
Marin | 0.3426279 |
Marin | 0.3426279 |
Marin | 0.3426279 |
Marin | 0.3426279 |
Marin | 0.3426279 |
Marin | 0.3426279 |
Marin | 0.3426279 |
Marin | 0.3426279 |
Mariposa | 0.0601639 |
Mariposa | 0.0601639 |
Mariposa | 0.0601639 |
Mariposa | 0.0601639 |
Mariposa | 0.0601639 |
Mariposa | 0.0601639 |
Mariposa | 0.0601639 |
Mariposa | 0.0601639 |
Mariposa | 0.0601639 |
Mariposa | 0.0601639 |
Mariposa | 0.0601639 |
Mariposa | 0.0601639 |
Mariposa | 0.0601639 |
Mariposa | 0.0601639 |
Mendocino | 0.1218804 |
Mendocino | 0.1218804 |
Mendocino | 0.1218804 |
Mendocino | 0.1218804 |
Mendocino | 0.1218804 |
Mendocino | 0.1218804 |
Mendocino | 0.1218804 |
Mendocino | 0.1218804 |
Mendocino | 0.1218804 |
Mendocino | 0.1218804 |
Mendocino | 0.1218804 |
Mendocino | 0.1218804 |
Mendocino | 0.1218804 |
Mendocino | 0.1218804 |
Merced | 0.4198358 |
Merced | 0.4198358 |
Merced | 0.4198358 |
Merced | 0.4198358 |
Merced | 0.4198358 |
Merced | 0.4198358 |
Merced | 0.4198358 |
Merced | 0.4198358 |
Merced | 0.4198358 |
Merced | 0.4198358 |
Merced | 0.4198358 |
Merced | 0.4198358 |
Merced | 0.4198358 |
Merced | 0.4198358 |
Modoc | 0.0262414 |
Modoc | 0.0262414 |
Modoc | 0.0262414 |
Modoc | 0.0262414 |
Modoc | 0.0262414 |
Modoc | 0.0262414 |
Modoc | 0.0262414 |
Modoc | 0.0262414 |
Modoc | 0.0262414 |
Modoc | 0.0262414 |
Modoc | 0.0262414 |
Modoc | 0.0262414 |
Modoc | 0.0262414 |
Modoc | 0.0262414 |
Mono | 0.1572279 |
Mono | 0.1572279 |
Mono | 0.1572279 |
Mono | 0.1572279 |
Mono | 0.1572279 |
Mono | 0.1572279 |
Mono | 0.1572279 |
Mono | 0.1572279 |
Mono | 0.1572279 |
Mono | 0.1572279 |
Mono | 0.1572279 |
Mono | 0.1572279 |
Mono | 0.1572279 |
Mono | 0.1572279 |
Monterey | 0.2745213 |
Monterey | 0.2745213 |
Monterey | 0.2745213 |
Monterey | 0.2745213 |
Monterey | 0.2745213 |
Monterey | 0.2745213 |
Monterey | 0.2745213 |
Monterey | 0.2745213 |
Monterey | 0.2745213 |
Monterey | 0.2745213 |
Monterey | 0.2745213 |
Monterey | 0.2745213 |
Monterey | 0.2745213 |
Monterey | 0.2745213 |
Napa | 0.1519631 |
Napa | 0.1519631 |
Napa | 0.1519631 |
Napa | 0.1519631 |
Napa | 0.1519631 |
Napa | 0.1519631 |
Napa | 0.1519631 |
Napa | 0.1519631 |
Napa | 0.1519631 |
Napa | 0.1519631 |
Napa | 0.1519631 |
Napa | 0.1519631 |
Napa | 0.1519631 |
Napa | 0.1519631 |
Nevada | 0.0652298 |
Nevada | 0.0652298 |
Nevada | 0.0652298 |
Nevada | 0.0652298 |
Nevada | 0.0652298 |
Nevada | 0.0652298 |
Nevada | 0.0652298 |
Nevada | 0.0652298 |
Nevada | 0.0652298 |
Nevada | 0.0652298 |
Nevada | 0.0652298 |
Nevada | 0.0652298 |
Nevada | 0.0652298 |
Nevada | 0.0652298 |
Orange | 0.2230194 |
Orange | 0.2230194 |
Orange | 0.2230194 |
Orange | 0.2230194 |
Orange | 0.2230194 |
Orange | 0.2230194 |
Orange | 0.2230194 |
Orange | 0.2230194 |
Orange | 0.2230194 |
Orange | 0.2230194 |
Orange | 0.2230194 |
Orange | 0.2230194 |
Orange | 0.2230194 |
Orange | 0.2230194 |
Placer | 0.1114857 |
Placer | 0.1114857 |
Placer | 0.1114857 |
Placer | 0.1114857 |
Placer | 0.1114857 |
Placer | 0.1114857 |
Placer | 0.1114857 |
Placer | 0.1114857 |
Placer | 0.1114857 |
Placer | 0.1114857 |
Placer | 0.1114857 |
Placer | 0.1114857 |
Placer | 0.1114857 |
Placer | 0.1114857 |
Plumas | 0.0304674 |
Plumas | 0.0304674 |
Plumas | 0.0304674 |
Plumas | 0.0304674 |
Plumas | 0.0304674 |
Plumas | 0.0304674 |
Plumas | 0.0304674 |
Plumas | 0.0304674 |
Plumas | 0.0304674 |
Plumas | 0.0304674 |
Plumas | 0.0304674 |
Plumas | 0.0304674 |
Plumas | 0.0304674 |
Plumas | 0.0304674 |
Riverside | 0.3069819 |
Riverside | 0.3069819 |
Riverside | 0.3069819 |
Riverside | 0.3069819 |
Riverside | 0.3069819 |
Riverside | 0.3069819 |
Riverside | 0.3069819 |
Riverside | 0.3069819 |
Riverside | 0.3069819 |
Riverside | 0.3069819 |
Riverside | 0.3069819 |
Riverside | 0.3069819 |
Riverside | 0.3069819 |
Riverside | 0.3069819 |
Sacramento | 0.1728247 |
Sacramento | 0.1728247 |
Sacramento | 0.1728247 |
Sacramento | 0.1728247 |
Sacramento | 0.1728247 |
Sacramento | 0.1728247 |
Sacramento | 0.1728247 |
Sacramento | 0.1728247 |
Sacramento | 0.1728247 |
Sacramento | 0.1728247 |
Sacramento | 0.1728247 |
Sacramento | 0.1728247 |
Sacramento | 0.1728247 |
Sacramento | 0.1728247 |
San Benito | 0.2627213 |
San Benito | 0.2627213 |
San Benito | 0.2627213 |
San Benito | 0.2627213 |
San Benito | 0.2627213 |
San Benito | 0.2627213 |
San Benito | 0.2627213 |
San Benito | 0.2627213 |
San Benito | 0.2627213 |
San Benito | 0.2627213 |
San Benito | 0.2627213 |
San Benito | 0.2627213 |
San Benito | 0.2627213 |
San Benito | 0.2627213 |
San Bernardino | 0.3168546 |
San Bernardino | 0.3168546 |
San Bernardino | 0.3168546 |
San Bernardino | 0.3168546 |
San Bernardino | 0.3168546 |
San Bernardino | 0.3168546 |
San Bernardino | 0.3168546 |
San Bernardino | 0.3168546 |
San Bernardino | 0.3168546 |
San Bernardino | 0.3168546 |
San Bernardino | 0.3168546 |
San Bernardino | 0.3168546 |
San Bernardino | 0.3168546 |
San Bernardino | 0.3168546 |
San Diego | 0.1706057 |
San Diego | 0.1706057 |
San Diego | 0.1706057 |
San Diego | 0.1706057 |
San Diego | 0.1706057 |
San Diego | 0.1706057 |
San Diego | 0.1706057 |
San Diego | 0.1706057 |
San Diego | 0.1706057 |
San Diego | 0.1706057 |
San Diego | 0.1706057 |
San Diego | 0.1706057 |
San Diego | 0.1706057 |
San Diego | 0.1706057 |
San Francisco | 0.1574581 |
San Francisco | 0.1574581 |
San Francisco | 0.1574581 |
San Francisco | 0.1574581 |
San Francisco | 0.1574581 |
San Francisco | 0.1574581 |
San Francisco | 0.1574581 |
San Francisco | 0.1574581 |
San Francisco | 0.1574581 |
San Francisco | 0.1574581 |
San Francisco | 0.1574581 |
San Francisco | 0.1574581 |
San Francisco | 0.1574581 |
San Francisco | 0.1574581 |
San Joaquin | 0.3389355 |
San Joaquin | 0.3389355 |
San Joaquin | 0.3389355 |
San Joaquin | 0.3389355 |
San Joaquin | 0.3389355 |
San Joaquin | 0.3389355 |
San Joaquin | 0.3389355 |
San Joaquin | 0.3389355 |
San Joaquin | 0.3389355 |
San Joaquin | 0.3389355 |
San Joaquin | 0.3389355 |
San Joaquin | 0.3389355 |
San Joaquin | 0.3389355 |
San Joaquin | 0.3389355 |
San Luis Obispo | 0.1539220 |
San Luis Obispo | 0.1539220 |
San Luis Obispo | 0.1539220 |
San Luis Obispo | 0.1539220 |
San Luis Obispo | 0.1539220 |
San Luis Obispo | 0.1539220 |
San Luis Obispo | 0.1539220 |
San Luis Obispo | 0.1539220 |
San Luis Obispo | 0.1539220 |
San Luis Obispo | 0.1539220 |
San Luis Obispo | 0.1539220 |
San Luis Obispo | 0.1539220 |
San Luis Obispo | 0.1539220 |
San Luis Obispo | 0.1539220 |
San Mateo | 0.1578519 |
San Mateo | 0.1578519 |
San Mateo | 0.1578519 |
San Mateo | 0.1578519 |
San Mateo | 0.1578519 |
San Mateo | 0.1578519 |
San Mateo | 0.1578519 |
San Mateo | 0.1578519 |
San Mateo | 0.1578519 |
San Mateo | 0.1578519 |
San Mateo | 0.1578519 |
San Mateo | 0.1578519 |
San Mateo | 0.1578519 |
San Mateo | 0.1578519 |
Santa Barbara | 0.2640140 |
Santa Barbara | 0.2640140 |
Santa Barbara | 0.2640140 |
Santa Barbara | 0.2640140 |
Santa Barbara | 0.2640140 |
Santa Barbara | 0.2640140 |
Santa Barbara | 0.2640140 |
Santa Barbara | 0.2640140 |
Santa Barbara | 0.2640140 |
Santa Barbara | 0.2640140 |
Santa Barbara | 0.2640140 |
Santa Barbara | 0.2640140 |
Santa Barbara | 0.2640140 |
Santa Barbara | 0.2640140 |
Santa Clara | 0.1343900 |
Santa Clara | 0.1343900 |
Santa Clara | 0.1343900 |
Santa Clara | 0.1343900 |
Santa Clara | 0.1343900 |
Santa Clara | 0.1343900 |
Santa Clara | 0.1343900 |
Santa Clara | 0.1343900 |
Santa Clara | 0.1343900 |
Santa Clara | 0.1343900 |
Santa Clara | 0.1343900 |
Santa Clara | 0.1343900 |
Santa Clara | 0.1343900 |
Santa Clara | 0.1343900 |
Santa Cruz | 0.0989448 |
Santa Cruz | 0.0989448 |
Santa Cruz | 0.0989448 |
Santa Cruz | 0.0989448 |
Santa Cruz | 0.0989448 |
Santa Cruz | 0.0989448 |
Santa Cruz | 0.0989448 |
Santa Cruz | 0.0989448 |
Santa Cruz | 0.0989448 |
Santa Cruz | 0.0989448 |
Santa Cruz | 0.0989448 |
Santa Cruz | 0.0989448 |
Santa Cruz | 0.0989448 |
Santa Cruz | 0.0989448 |
Shasta | 0.0459351 |
Shasta | 0.0459351 |
Shasta | 0.0459351 |
Shasta | 0.0459351 |
Shasta | 0.0459351 |
Shasta | 0.0459351 |
Shasta | 0.0459351 |
Shasta | 0.0459351 |
Shasta | 0.0459351 |
Shasta | 0.0459351 |
Shasta | 0.0459351 |
Shasta | 0.0459351 |
Shasta | 0.0459351 |
Shasta | 0.0459351 |
Sierra | 0.0279534 |
Sierra | 0.0279534 |
Sierra | 0.0279534 |
Sierra | 0.0279534 |
Sierra | 0.0279534 |
Sierra | 0.0279534 |
Sierra | 0.0279534 |
Sierra | 0.0279534 |
Sierra | 0.0279534 |
Sierra | 0.0279534 |
Sierra | 0.0279534 |
Sierra | 0.0279534 |
Sierra | 0.0279534 |
Sierra | 0.0279534 |
Siskiyou | 0.0471531 |
Siskiyou | 0.0471531 |
Siskiyou | 0.0471531 |
Siskiyou | 0.0471531 |
Siskiyou | 0.0471531 |
Siskiyou | 0.0471531 |
Siskiyou | 0.0471531 |
Siskiyou | 0.0471531 |
Siskiyou | 0.0471531 |
Siskiyou | 0.0471531 |
Siskiyou | 0.0471531 |
Siskiyou | 0.0471531 |
Siskiyou | 0.0471531 |
Siskiyou | 0.0471531 |
Solano | 0.1783497 |
Solano | 0.1783497 |
Solano | 0.1783497 |
Solano | 0.1783497 |
Solano | 0.1783497 |
Solano | 0.1783497 |
Solano | 0.1783497 |
Solano | 0.1783497 |
Solano | 0.1783497 |
Solano | 0.1783497 |
Solano | 0.1783497 |
Solano | 0.1783497 |
Solano | 0.1783497 |
Solano | 0.1783497 |
Sonoma | 0.1788824 |
Sonoma | 0.1788824 |
Sonoma | 0.1788824 |
Sonoma | 0.1788824 |
Sonoma | 0.1788824 |
Sonoma | 0.1788824 |
Sonoma | 0.1788824 |
Sonoma | 0.1788824 |
Sonoma | 0.1788824 |
Sonoma | 0.1788824 |
Sonoma | 0.1788824 |
Sonoma | 0.1788824 |
Sonoma | 0.1788824 |
Sonoma | 0.1788824 |
Stanislaus | 0.3913304 |
Stanislaus | 0.3913304 |
Stanislaus | 0.3913304 |
Stanislaus | 0.3913304 |
Stanislaus | 0.3913304 |
Stanislaus | 0.3913304 |
Stanislaus | 0.3913304 |
Stanislaus | 0.3913304 |
Stanislaus | 0.3913304 |
Stanislaus | 0.3913304 |
Stanislaus | 0.3913304 |
Stanislaus | 0.3913304 |
Stanislaus | 0.3913304 |
Stanislaus | 0.3913304 |
Sutter | 0.2155799 |
Sutter | 0.2155799 |
Sutter | 0.2155799 |
Sutter | 0.2155799 |
Sutter | 0.2155799 |
Sutter | 0.2155799 |
Sutter | 0.2155799 |
Sutter | 0.2155799 |
Sutter | 0.2155799 |
Sutter | 0.2155799 |
Sutter | 0.2155799 |
Sutter | 0.2155799 |
Sutter | 0.2155799 |
Sutter | 0.2155799 |
Tehama | 0.0959837 |
Tehama | 0.0959837 |
Tehama | 0.0959837 |
Tehama | 0.0959837 |
Tehama | 0.0959837 |
Tehama | 0.0959837 |
Tehama | 0.0959837 |
Tehama | 0.0959837 |
Tehama | 0.0959837 |
Tehama | 0.0959837 |
Tehama | 0.0959837 |
Tehama | 0.0959837 |
Tehama | 0.0959837 |
Tehama | 0.0959837 |
Trinity | 0.0166056 |
Trinity | 0.0166056 |
Trinity | 0.0166056 |
Trinity | 0.0166056 |
Trinity | 0.0166056 |
Trinity | 0.0166056 |
Trinity | 0.0166056 |
Trinity | 0.0166056 |
Trinity | 0.0166056 |
Trinity | 0.0166056 |
Trinity | 0.0166056 |
Trinity | 0.0166056 |
Trinity | 0.0166056 |
Trinity | 0.0166056 |
Tulare | 0.4424200 |
Tulare | 0.4424200 |
Tulare | 0.4424200 |
Tulare | 0.4424200 |
Tulare | 0.4424200 |
Tulare | 0.4424200 |
Tulare | 0.4424200 |
Tulare | 0.4424200 |
Tulare | 0.4424200 |
Tulare | 0.4424200 |
Tulare | 0.4424200 |
Tulare | 0.4424200 |
Tulare | 0.4424200 |
Tulare | 0.4424200 |
Tuolumne | 0.0509380 |
Tuolumne | 0.0509380 |
Tuolumne | 0.0509380 |
Tuolumne | 0.0509380 |
Tuolumne | 0.0509380 |
Tuolumne | 0.0509380 |
Tuolumne | 0.0509380 |
Tuolumne | 0.0509380 |
Tuolumne | 0.0509380 |
Tuolumne | 0.0509380 |
Tuolumne | 0.0509380 |
Tuolumne | 0.0509380 |
Tuolumne | 0.0509380 |
Tuolumne | 0.0509380 |
Ventura | 0.1866583 |
Ventura | 0.1866583 |
Ventura | 0.1866583 |
Ventura | 0.1866583 |
Ventura | 0.1866583 |
Ventura | 0.1866583 |
Ventura | 0.1866583 |
Ventura | 0.1866583 |
Ventura | 0.1866583 |
Ventura | 0.1866583 |
Ventura | 0.1866583 |
Ventura | 0.1866583 |
Ventura | 0.1866583 |
Ventura | 0.1866583 |
Yolo | 0.1616689 |
Yolo | 0.1616689 |
Yolo | 0.1616689 |
Yolo | 0.1616689 |
Yolo | 0.1616689 |
Yolo | 0.1616689 |
Yolo | 0.1616689 |
Yolo | 0.1616689 |
Yolo | 0.1616689 |
Yolo | 0.1616689 |
Yolo | 0.1616689 |
Yolo | 0.1616689 |
Yolo | 0.1616689 |
Yolo | 0.1616689 |
Yuba | 0.1785605 |
Yuba | 0.1785605 |
Yuba | 0.1785605 |
Yuba | 0.1785605 |
Yuba | 0.1785605 |
Yuba | 0.1785605 |
Yuba | 0.1785605 |
Yuba | 0.1785605 |
Yuba | 0.1785605 |
Yuba | 0.1785605 |
Yuba | 0.1785605 |
Yuba | 0.1785605 |
Yuba | 0.1785605 |
Yuba | 0.1785605 |
names(Pop)
## [1] "FIPStxt" "State"
## [3] "Area_Name" "Rural-urban_Continuum Code_2003"
## [5] "Rural-urban_Continuum Code_2013" "Urban_Influence_Code_2003"
## [7] "Urban_Influence_Code_2013" "Economic_typology_2015"
## [9] "CENSUS_2010_POP" "ESTIMATES_BASE_2010"
## [11] "POP_ESTIMATE_2010" "POP_ESTIMATE_2011"
## [13] "POP_ESTIMATE_2012" "POP_ESTIMATE_2013"
## [15] "POP_ESTIMATE_2014" "POP_ESTIMATE_2015"
## [17] "POP_ESTIMATE_2016" "POP_ESTIMATE_2017"
## [19] "POP_ESTIMATE_2018" "POP_ESTIMATE_2019"
## [21] "N_POP_CHG_2010" "N_POP_CHG_2011"
## [23] "N_POP_CHG_2012" "N_POP_CHG_2013"
## [25] "N_POP_CHG_2014" "N_POP_CHG_2015"
## [27] "N_POP_CHG_2016" "N_POP_CHG_2017"
## [29] "N_POP_CHG_2018" "N_POP_CHG_2019"
## [31] "Births_2010" "Births_2011"
## [33] "Births_2012" "Births_2013"
## [35] "Births_2014" "Births_2015"
## [37] "Births_2016" "Births_2017"
## [39] "Births_2018" "Births_2019"
## [41] "Deaths_2010" "Deaths_2011"
## [43] "Deaths_2012" "Deaths_2013"
## [45] "Deaths_2014" "Deaths_2015"
## [47] "Deaths_2016" "Deaths_2017"
## [49] "Deaths_2018" "Deaths_2019"
## [51] "NATURAL_INC_2010" "NATURAL_INC_2011"
## [53] "NATURAL_INC_2012" "NATURAL_INC_2013"
## [55] "NATURAL_INC_2014" "NATURAL_INC_2015"
## [57] "NATURAL_INC_2016" "NATURAL_INC_2017"
## [59] "NATURAL_INC_2018" "NATURAL_INC_2019"
## [61] "INTERNATIONAL_MIG_2010" "INTERNATIONAL_MIG_2011"
## [63] "INTERNATIONAL_MIG_2012" "INTERNATIONAL_MIG_2013"
## [65] "INTERNATIONAL_MIG_2014" "INTERNATIONAL_MIG_2015"
## [67] "INTERNATIONAL_MIG_2016" "INTERNATIONAL_MIG_2017"
## [69] "INTERNATIONAL_MIG_2018" "INTERNATIONAL_MIG_2019"
## [71] "DOMESTIC_MIG_2010" "DOMESTIC_MIG_2011"
## [73] "DOMESTIC_MIG_2012" "DOMESTIC_MIG_2013"
## [75] "DOMESTIC_MIG_2014" "DOMESTIC_MIG_2015"
## [77] "DOMESTIC_MIG_2016" "DOMESTIC_MIG_2017"
## [79] "DOMESTIC_MIG_2018" "DOMESTIC_MIG_2019"
## [81] "NET_MIG_2010" "NET_MIG_2011"
## [83] "NET_MIG_2012" "NET_MIG_2013"
## [85] "NET_MIG_2014" "NET_MIG_2015"
## [87] "NET_MIG_2016" "NET_MIG_2017"
## [89] "NET_MIG_2018" "NET_MIG_2019"
## [91] "RESIDUAL_2010" "RESIDUAL_2011"
## [93] "RESIDUAL_2012" "RESIDUAL_2013"
## [95] "RESIDUAL_2014" "RESIDUAL_2015"
## [97] "RESIDUAL_2016" "RESIDUAL_2017"
## [99] "RESIDUAL_2018" "RESIDUAL_2019"
## [101] "GQ_ESTIMATES_BASE_2010" "GQ_ESTIMATES_2010"
## [103] "GQ_ESTIMATES_2011" "GQ_ESTIMATES_2012"
## [105] "GQ_ESTIMATES_2013" "GQ_ESTIMATES_2014"
## [107] "GQ_ESTIMATES_2015" "GQ_ESTIMATES_2016"
## [109] "GQ_ESTIMATES_2017" "GQ_ESTIMATES_2018"
## [111] "GQ_ESTIMATES_2019" "R_birth_2011"
## [113] "R_birth_2012" "R_birth_2013"
## [115] "R_birth_2014" "R_birth_2015"
## [117] "R_birth_2016" "R_birth_2017"
## [119] "R_birth_2018" "R_birth_2019"
## [121] "R_death_2011" "R_death_2012"
## [123] "R_death_2013" "R_death_2014"
## [125] "R_death_2015" "R_death_2016"
## [127] "R_death_2017" "R_death_2018"
## [129] "R_death_2019" "R_NATURAL_INC_2011"
## [131] "R_NATURAL_INC_2012" "R_NATURAL_INC_2013"
## [133] "R_NATURAL_INC_2014" "R_NATURAL_INC_2015"
## [135] "R_NATURAL_INC_2016" "R_NATURAL_INC_2017"
## [137] "R_NATURAL_INC_2018" "R_NATURAL_INC_2019"
## [139] "R_INTERNATIONAL_MIG_2011" "R_INTERNATIONAL_MIG_2012"
## [141] "R_INTERNATIONAL_MIG_2013" "R_INTERNATIONAL_MIG_2014"
## [143] "R_INTERNATIONAL_MIG_2015" "R_INTERNATIONAL_MIG_2016"
## [145] "R_INTERNATIONAL_MIG_2017" "R_INTERNATIONAL_MIG_2018"
## [147] "R_INTERNATIONAL_MIG_2019" "R_DOMESTIC_MIG_2011"
## [149] "R_DOMESTIC_MIG_2012" "R_DOMESTIC_MIG_2013"
## [151] "R_DOMESTIC_MIG_2014" "R_DOMESTIC_MIG_2015"
## [153] "R_DOMESTIC_MIG_2016" "R_DOMESTIC_MIG_2017"
## [155] "R_DOMESTIC_MIG_2018" "R_DOMESTIC_MIG_2019"
## [157] "R_NET_MIG_2011" "R_NET_MIG_2012"
## [159] "R_NET_MIG_2013" "R_NET_MIG_2014"
## [161] "R_NET_MIG_2015" "R_NET_MIG_2016"
## [163] "R_NET_MIG_2017" "R_NET_MIG_2018"
## [165] "R_NET_MIG_2019"
dim(Pop)
## [1] 3273 165
nrow(Pop)
## [1] 3273
#last14days = Pop2 %>%
#filter(date > max(date) - 13) %>%
#group_by(county, pop_2019)%>%
#summarise(newCases = sum(newCases)) %>%
#ungroup() %>%
#mutate(casePer100 = newCases / (pop_2019 / 100000)) %>%
#filter(casePer100 <= 100) %>%
#pull(county)
#could not get code to run
#Question 2
#filters the data like covid2, but now this data also includes values for New York, Florida and Louisiana
covid3 = covid %>%
filter(state == c("California", "New York", "Florida", "Louisiana")) %>%
group_by(county) %>%
mutate(newCases = cases - lag(cases)) %>%
ungroup() %>%
filter(date == max(date))%>%
select(state, county, cases, newCases)
Most_cumulative2 = covid3[order(-covid3$cases),]
Most_new2 = covid3[order(-covid3$newCases),]
covid3 %>%
group_by(state) %>%
mutate(roll_mean = rollmean(cases, 2, na.pad = T))
## # A tibble: 64 x 5
## # Groups: state [4]
## state county cases newCases roll_mean
## <chr> <chr> <dbl> <dbl> <dbl>
## 1 California Alpine 2 0 246.
## 2 California Colusa 489 0 13782.
## 3 California Fresno 27076 159 13626.
## 4 California Inyo 177 1 452
## 5 California Lassen 727 0 401
## 6 California Mariposa 75 0 119
## 7 California Mono 163 0 26142
## 8 California Orange 52121 185 36152
## 9 California Sacramento 20183 121 15244
## 10 California San Francisco 10305 39 9474.
## # … with 54 more rows
Most_cumulative2 = covid3[order(-covid3$cases),]
Most_new2 = covid3[order(-covid3$newCases),]
#ggplot(data = Most_new2, aes(x = newCases, y = roll_mean)) +
#geom_point(aes(color = county, size = cases)) +
#labs(title = "Roll Mean of Corona Virus Counts as a Fucntion of Daily New Cases Per State", x = "Daily New Cases", y = "Roll Mean", color = "", size = "Cases") +
#facet_wrap(~state)+
#theme_bw()
#could not get code to run