data cleaning

[carriewright11]

• [ ] change the percentage calculation to be about emissions:

yearly_co2 %>% drop_na(1800) %>% count(1800, country) %>% mutate(percent = (1800/(sum(1800)) *100))...hmmm or actually that will not quite do what we want... but something like this... tempted to go back to the bike data as it seems kind of environmental

• [ ] subset the data so we can see what is happening better in the earlier slides using slice_sample() - although maybe it was useful to see how I dealt with larger data? the slides could show the simplified data idk

[carriewright11]

• [ ] do the na_if replace na in the opposite order so it makes more sense with the data - add explanation as to why we are doing that

[carriewright11]

• [ ] find a dataset - make a subset with rare data - maybe just look at the complete data for country or something or get rid of the example about rare data values

[carriewright11]

• [ ] can we get away with doing the na replace etc. without the waste water data and just use one dataset?

[avahoffman]

• [ ] Lab link was wrong in the slides - pointed to jhur :(
• [ ] did we want to remove data_diet references? Maybe to make it clear it could be like veg, pesc instead of A, B so it's clear it's not a weight loss thing?

petition to get rid of gg_miss_var - I think it's a misrepresentative plot personally -- wish it was in percentage instead of count. The x axis kind of makes it look like there's a variable at the top with all missing data.

[avahoffman]

Lab:

• [ ] Probably don't need to load all those packages
• [ ] Remove ref to weight loss?

[carriewright11]

the weight loss should be removed from the lab already if you have the final version

[carriewright11]

it should say exposure instead

[carriewright11]

hmmm somehow it didn't come through from my last PR

[carriewright11]

• [ ] the slide about the toy data didn't fit on the slide

[carriewright11]

• [ ] the slide about the toy data didn't fit on the slide