Comments (5)
Thanks, @margauxgo. I will take that over.
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I already had a brief look. You have been very quick with this package, well done.
One item I noticed, which I suggest you rework is your data import and then the separation of columns in your `data_processing.R:
wsabrazil/data-raw/data_processing.R
Line 11 in 3aff4e2
You have a semicolon ;
separated file here. You can use read_csv2()
or read_delim(delim = ";")
to read the file properly. Then you don't need to separate the columns.
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Thanks @larnsce, I just modified that.
Concerning the data format, I am still debating wether to pivot the dataset to long format to group the variables piped_water, well_spring_water, stored_rainwater and other_water_source into a variable named water_supply, the variables bathroom_sewerage, bathroom_septic_tank and bathroom_cesspit into a variable named sanitation and the variables bathroom_ditch, bathroom_waterbodies and bathroom_other into a variable named wastewater, or to keep it in wide format.
For now, I illustrated how to pivot it for simpler analysis in the example and kept it in wide format otherwise.
What do you think?
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Thanks @larnsce, I just modified that.
Concerning the data format, I am still debating wether to pivot the dataset to long format to group the variables piped_water, well_spring_water, stored_rainwater and other_water_source into a variable named water_supply, the variables bathroom_sewerage, bathroom_septic_tank and bathroom_cesspit into a variable named sanitation and the variables bathroom_ditch, bathroom_waterbodies and bathroom_other into a variable named wastewater, or to keep it in wide format.
For now, I illustrated how to pivot it for simpler analysis in the example and kept it in wide format otherwise.
What do you think?
I also had a similar debate: openwashdata/whatawaste#2
I would for now keep it in wide format for now.
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- Please refine the 1st figure with more information, e.g. title, x/y-axis label
- What is the
references
directory?
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