iamciera
commented
5 years ago This was super helpful @sastoudt! Thank you!
Open sastoudt opened 5 years ago
iamciera
commented
5 years ago This was super helpful @sastoudt! Thank you!
Overall, I really like your post! I just have some small suggestions:
[x] I have just graduated from UC Berkeley with BA degree --> I have just graduated from UC Berkeley with a BA degree
[x] scientific researches --> scientific research
[x] other’s work on git-hub repository --> other's work on GitHub repositories
[x] And I explored Global Biotic Interactions, a natural history database on species interactions, from a data science perspective and conducted exploratory analysis with immediate products in the form of medium-length reports published on-line at the Cabinet of Curiosity Website. --> I explored Global Biotic Interactions (GloBi), a natural history database on species interactions, from a data science perspective. I conducted exploratory analysis and produced medium-length reports to be published online on the Cabinet of Curiosity Website (this is one of them!).
[x] format of interactions --> form of interactions
[x] GloBi v. GloBI (which is it?, inconsistent throughout)
[x] Description from the documentation of package: --> Here is a description from the documentation of the package:
[x] library the package --> load the package
[x] interaction type, and taxonomic names and so on --> interaction type, taxonomic names, and so on
[x] rglobi vignette --> rglobi vignette
[x] While the r package provides built in --> While the R package provides built-in
[ ] it has limitation on the maximum amount of data displayed. --> it limits the maximum amount of data displayed (displayed where? available to download from the R package itself?)
[x] but soon as I found out that the entire GloBi database is only ~6.5GB and could be easily download. I decided to take that route for further exploration. --> but as soon as I found out that the entire GloBi database is only about 6.5GB and could easily be downloaded, I decided to take that route for further exploration.
[x] Through API --> Through the API
[x] The link above contains API --> The link above contains the API
[x] One of the reason is that I don't want to be --> One of the reasons is that I don't want to be
[x] If you would like to follow along to follow along on a Jupyter notebook --> If you would like to follow along on a Jupyter notebook
[x] Let's check out how many unique organims or organims groups there are in GloBi. --> should be organisms (this is misspelled other places in your post too)
[ ] You can tell where it came from --> what is "it" referring to here?
[x] Github in which the data is coming from --> GitHub where the data is coming from.
[x] first column to github.com. --> first column to github.com/.
[x] unique interaction types records are found in GloBi --> unique interaction type records are found in GloBi
[x] you can see how an animal interacts with what. --> you can see what an animal interacts with and how.
[x] using a organim string --> using an organism string
[x] I choose to search what Carollia, a genus of short tail fruit bats eats. --> I choose to search what Carollia, a genus of short tail fruit bat, eats.
[x] some apple like fruit. --> some apple-like fruit.
[x] data[['sourceTaxonId', 'interactionTypeName', 'targetTaxonId']] Can you make the output a little shorter? It takes up a lot of space and we don't really know how to interpret since we just have ids instead of actual names.