goro341 / make-analysis-great-again Goto Github PK

• Find a way to add time to analysis
• commits might be scattered through time where one month has many commits and the next doesn't have any
• capture in a new graph/visualziation how the project progresses over time

Define A data structure in python as follows:

Node {
type: 1 or 2
name: module.name or author.name
}

Edge {
src: Node
dst: Node
wieght: num
}

test with dummy data if there is time.

Mock The data that should be consumed by Graph Module and Produce bipartite graph. Looks Network X is going to be used. So mock data that goes into Network X.

Write a Graph module that gets Nodes and Edges and draws a weighted bipartite graph based on the input.

• Nodes are of type 1 & 2. Edges only start from type 1 nodes and end in type 2 nodes. All type 1 nodes should be in the right column of the Bipartite graph and type 2 nodes on the left column.

• Name of each Node should display with some proximity to it.

• (bonus) On type 1 nodes show the number of outgoing edges.

• Has to be weighted in the sense that the edges would vary in thickness depending on the input.

Should mock data for nodes and edges and draw bipartite graph. And have output.
should update the graph at each frame with addition of a new Node.

e.g. start with graph with only nodes, then iterate through the entire list of of edges and add each edge in every step and redraw the graph at each step. Add delays to iteration if the difference is not visible.