![]() ![]() This would account for the difference in the length of time before and after totality. Since I was making a linear change in color, I realized I could make a sequence of values before totality and after totality that covered the same range but had a different total number of values. After subtracting the times before totality from totality start and subtracting totality end from times after totality, I realized that the amount of time before totality wasn’t actually the same as the amount of time after totality. ![]() My first idea for creating a variable was to use information on the current time vs totality start/end. While I don’t have an actual measurement of light throughout the eclipse, I can show the general idea of a light change with color by using a linear change in color from the start of the eclipse to totality and then another linear change in color from totality to the end of the eclipse. How would I make a continuous variable to map to color? □ color_dat = ame(time = seq(eclipse$start, eclipse$end, by = "1 sec") ) The first step I took was to make variable with a row for every second of the eclipse, since I wanted a segment drawn for each second. Name = expression( Temperature~(degree*C)), Scale_y_continuous(sec.axis = sec_axis(~ (. Subtitle = expression(italic("Sapsucker Farm, 09:05:10 - 11:37:19 PDT") ),Ĭaption = "Eclipse: 2 hours 32 minutes 9 seconds\nTotality: 1 minute 57 seconds" Title = "Temperature during solar eclipse", Labs(y = expression( Temperature~(degree*F) ), ![]() Scale_x_datetime( date_breaks = "15 min",Ĭoord_cartesian(xlim = c(eclipse$start, eclipse$end) ) + Geom_line( aes(datetime, tempf), size = 1 ) + Since the plot covers only about 2 and half hours, I make breaks on the x axis every 15 minutes. I removed the x axis expansion in scale_x_datetime(). I then zoomed the plot to only include times encompassed by the eclipse with coord_cartesian(). plottemp = filter(temp, between(datetime, To keep the temperature line looking continuous, even though it’s taken every 5 minutes, I subset the data to times close but outside the start and end of the eclipse. I decided to make a plot of the temperature change during the eclipse only. If following along at home, make sure your time zones match for all the date-time variables or, from personal experience □, you’ll run into problems. I also stored the start and end times of the eclipse and totality in ames, which I pulled for my location from this website. Here are the first six lines of this temperature dataset. You can download this below if you’d like to play around with these data. The date-times and temperature are in a dataset I named temp. I downloaded the data from 6 AM to 12 PM local time and cleaned it up a bit. My weather station records the temperature in ☏ahrenheit every 5 minutes. ![]()
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