# Calculate Anomaly in Temperature

I think it would be helpful to see the data your working with in a reprex.

list in R of length 5 (each element represents a different city): inside each element there are 31 temperatures.

If you data is small enough (and pls make it smaller if you're dealing with a large dataset), you can do this with the `dput` function, for example,

``````ex_list <- list(
city_a = data.frame(
date = 1:3,
temp = c(4,12,4)
),
city_b = data.frame(
date = 1:3,
temp = c(5,7,2)
)
)

dput(ex_list)
#> list(city_a = structure(list(date = 1:3, temp = c(4, 12, 4)), class = "data.frame", row.names = c(NA,
#> -3L)), city_b = structure(list(date = 1:3, temp = c(5, 7, 2)), class = "data.frame", row.names = c(NA,
#> -3L)))
``````

Created on 2018-09-17 by the reprex package (v0.2.0.9000).

Note that the final list of code there replicate `ex_list`,

``````ex_list <- list(city_a = structure(list(date = 1:3, temp = c(4, 12, 4)), class = "data.frame", row.names = c(NA,
-3L)), city_b = structure(list(date = 1:3, temp = c(5, 7, 2)), class = "data.frame", row.names = c(NA,
-3L)))
``````

And here's a handy guide to making a `reprex` (FAQ: What's a reproducible example (`reprex`) and how do I create one?)

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