helgasoft
commented
12 months ago if there was a way to simply colour the countries based off of n
Yes, good idea, for much better visual.
Working with 'geo' in ECharts has its quirks.
When echarty loads the built-in ECharts map with load='world', it creates geo and series$coordinateSystem='geo'.
- if series type is 'map' then encode should set name and value - ex:
encode=list(name='country', value='cost') - if series type is 'scatter' then encode should set lng and lat - ex:
encode=list(lng='long', lat='lat')
Keep in mind that, as shown in example, the built-in 'world' country names may not match the data names and they have to be converted. Like important 'Turkey' in your data. Here is the code:
remotes::install_github('helgasoft/echarty') # get latest from 11/28/23
input <- read.csv("DirectExample.csv")
library(echarty); library(dplyr)
input |> mutate(
pleth= lethality *100,
Country = case_when( # fix mismatch with map name, could be others...
Country=='Türkiye' ~'Turkey', TRUE ~ Country)
) |> na.omit() |>
group_by(Year) |>
ec.init(load= 'world', geo= list(roam=T), animation=F,
tl.series= list( type= 'map', encode= list(name= 'Country', value= 'n') ),
visualMap = list( text='n',
inRange = list(bottom= 3, color= c('#6EA5FF','#DB2D12'), colorLightness = c(0.7,0.45), colorSaturation = c(10,300)) ),
tooltip= list(formatter= ec.clmn('%@<br>Outbreak Incidents: %@<br />Lethality: %R@%', 'name', 'value', 'pleth')),
title = list(list(left="80%", top="1%", textStyle=list(fontSize=30, color='#11111166')),
list(text = "Outbreak incidents by year",
left = "10%", top = 10, textStyle = list(fontWeight = "normal", fontSize = 20)))
) 
MrMisc
Hello again,
Thank you very much for your help! It has enabled me to present alot more beautiful and properly intricate plots for my work, and I really appreciate it.
Continuing from your last solution regarding the dataset regarding cases across the world DirectExample.csv
This works, and I was beginning to wonder if there was a way to simply colour the countries based off of n (ie what you rescaled as sleth in the previous solution you provided). I realised that you had an example pertaining to that . However, I got a bit confused as to how I would go about doing that. I ended up here, and am not sure how I should be referencing the data for the map to show colours.
I tried looking at the dataset in your example to try to understand this segment here and how it was perhaps used to point to the data for it to recognise the city names that were being used in your example, but I was not able to access the html link for :
So I am not sure how to replicate what you have done here for my dataset here. I would really appreciate if you were able to guide me through that, if possible. Thank you for your help thus far.