Comments (4)
I'm thinking I should break these up even more. I could generate a plot for each with the README being one big index. Or maybe, I could do by State, Trump/POTUS, and then one for the rest of the cabinet?
The problem now is I'm having to log the counts just to have them reasonably fit on the same graph...and that makes it even harder to see variations in follower counts. This might be fixed over time (the sample is obvi too small now), but it def seems like I'm jamming too much on too few plots.
from cspan_data.
Hey,
I thought about this a bit more.
There are a few ways around this:
- You would center by the n_followers at t_1
- Rather than log_follower count, you could do sqrt(followers) as that is a gentler parametric transform
Two more things:
- I would label y-axis with actual counts and more scale points to convey that it is a transformed scale.
- If plotting raw numbers, I think it is still a useful idea to divide by state_pop. for gov. so that we aren't just tracking state population.
- The thickness of each line can be reduced and the standard format of growth curves with labeled end points can be created.
from cspan_data.
There are multiple things we could learn from this data. In Congress, from what I recall, ideologically extreme leg. have more followers than more moderate members. I think it is true for R and Ds. (One of my students did that 3--4 years ago for a DS class I taught.) So adding in CF-Scores or DW-Nominate may be useful.
The over-time growth curves can be clustered. Do growth patterns look similar for R and D? etc. etc.
from cspan_data.
The first graph should just be about the skew in follower counts.
A dot plot with:
y-axis = pols
x-axis = n_followers
from cspan_data.
Related Issues (1)
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 cspan_data.