Oregon COVID data The Oregon data are available from OHA here. I cut and pasted the first two days because it was easy with datapasta. As it goes on, it was easier to write a script that I detail elsewhere that I can self-update. urbnmapr The Urban Institute has an excellent state and county mapping package. I want to make use of the county-level data and plot the starter map.
The Office library(tidyverse) office_ratings <- readr::read_csv('https://raw.githubusercontent.com/rfordatascience/tidytuesday/master/data/2020/2020-03-17/office_ratings.csv') A First Plot The number of episodes for the Office by season. library(janitor) TableS <- office_ratings %>% tabyl(season) p1 <- TableS %>% ggplot(., aes(x=as.factor(season), y=n, fill=as.factor(season))) + geom_col() + labs(x="Season", y="Episodes", title="The Office: Episodes") + guides(fill=FALSE) p1 Ratings How are the various seasons and episodes rated? p2 <- office_ratings %>% ggplot(., aes(x=as.factor(season), y=imdb_rating, fill=as.factor(season), color=as.factor(season))) + geom_violin(alpha=0.3) + guides(fill=FALSE, color=FALSE) + labs(x="Season", y="IMDB Rating") + geom_point() p2 Patchwork Using patchwork, we can combine multiple plots.
R to Import COVID Data library(tidyverse) library(gganimate) COVID.states <- read.csv(url("http://covidtracking.com/api/states/daily.csv")) COVID.states <- COVID.states %>% mutate(Date = as.Date(as.character(date), format = "%Y%m%d")) The Raw Testing Incidence I want to use patchwork to show the testing rate by state in the United States. Then I want to show where things currently stand. In both cases, a base-10 log is used on the number of tests.
Get Some VIX data NB: I originally wrote this on February 27, 2020 so there is commentary surrounding that date. It was done on the quick for curiosity. I will update it by recompiling it with new data and will update the commentary noting when it took place. Chicago Board Of Exchange (CBOE) makes data available regularly. To judge the currency of the data, I have tailed it below after converting the dates to a valid date format.
Some Data from FREDr Downloading the FRED data on national debt as a percentage of GDP. I first want to examine the US data and will then turn to some comparisons. fredr makes it markable asy to do! I will use two core tools from fredr. First, fredr_series_search allows one to enter search text and retrieve the responsive series given that search text. They can be sorted in particular ways, two such options are shown below.
XBRL Changed XBRL has undergone and is undergoing some changes. Some filers have already needed to change their filings and others will have to soon. Here is the excerpt. XBRL Change This has broken many of the existing parsers for new filings. It is time to find a way around this. I have seen links for scraping them from Yahoo! Finance but that is not really what I want.