Background

In this session you will explore several ways to generate dynamic and interactive data displays. These include making maps and graphs that you can pan/zoom, select features for more information, and interact with in other ways. The most common output format is HTML, which can easily be embedded in a website (such as your final project!).

library(dplyr)
library(ggplot2)
library(ggmap)
library(htmlwidgets)
library(widgetframe)

If you don’t have the packages above, install them in the package manager or by running install.packages("widgetframe"), etc.

Detailed Steps

First use the following code to download the daily weather data.

library(rnoaa)
library(xts)
library(dygraphs)

d=meteo_tidy_ghcnd("USW00014733",
                   date_min = "2016-01-01", 
                   var = c("TMAX"),
                   keep_flags=T)
d$date=as.Date(d$date)

Remaining steps:

1. Convert d into an xts time series object using xts(). You will need to specifify which column has the data (d$tmax) and order.by=d$date. See ?xts for help.
2. Use dygraph() to draw the plot
3. Set the title of the dygraph to be main="Daily Maximum Temperature in Buffalo, NY"
4. Add a dyRangeSelector() with a dateWindow of c("2017-01-01", "2017-12-31")

Output

Your final graph should look something like this: