Comments (3)
And a typo on slide 45: should be 'occurrence', not 'occurence' !
from lectures.
A few more tiny things:
the 'web ettiquette' header in lecture 6 should be 'etiquette';
it should be 'your new FRED API key', not 'you're new FRED API key', in the API keys section of lecture 7;
it should be 'data acquisition', not 'data aquisition', in the 3rd application section of lecture 7;
footnote 4 of lecture 7 should be 'R is ideally suited', not 'R ideally suited'.
These are so so minor - I hope pointing them out is more useful than annoying. A slightly less minor point is that I don't think the 'fredr' package is in the CRAN repository any more: it seems only to be available on github (I got it by running
devtools::install_github("jcizel/FredR")
Thank you, again, for sharing these lectures. They're incredibly helpful.
from lectures.
Much appreciated! (You can tell that I originally wrote these notes before RStudio included the built-in spell-checker...)
FWIW, I haven't incorporated all your suggestions b/c I've already adjusted them in the notes for the sister course to this one. But I still need to decide the best way to reconcile the diffs and port them over here.
from lectures.
Related Issues (7)
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from lectures.