You expressed an interest in a plot with date along the x-axis, and multiple environmental values (temperature, rainfall, surface area, etc) as aligned "strips" in multiple y-axes.
You can do this with ggplot's facet_grid geometry.
In order to do this, you'll need to convert your data from wide to narrow format.
That can be done using the melt function from the reshape2 package.
After melting, you should have a new data frame that looks something like this:
Date variable value
2018-12-16 Rain NA
2018-12-16 TemperatureMax 44.0000
2018-12-16 TemperatureMin 31.0000
2018-12-16 Area NA
2018-12-17 Rain 0.0000
2018-12-17 TemperatureMax 41.0000
2018-12-17 TemperatureMin 34.0000
2018-12-17 Area 148.0177
2018-12-18 Rain 0.0000
2018-12-18 TemperatureMax 37.0000
... etc ...
I was able to generate the plot following an example on StackOverflow. However, I think this is a fairly advanced technique and doubt you have time left to figure it out on your own.
FWIW, the data do look interesting; You've done a good job collecting the underlying information. It's unfortunate that snow cover prevented measurements so often.
You expressed an interest in a plot with date along the x-axis, and multiple environmental values (temperature, rainfall, surface area, etc) as aligned "strips" in multiple y-axes.
reshape2package.After melting, you should have a new data frame that looks something like this:
I was able to generate the plot following an example on StackOverflow. However, I think this is a fairly advanced technique and doubt you have time left to figure it out on your own.
FWIW, the data do look interesting; You've done a good job collecting the underlying information. It's unfortunate that snow cover prevented measurements so often.