- download/clone the repository from github link (or any other link) to a folder in your machine.
- Switch to terminal and
cd into the folder containing downloaded files and start the webserver as follows
python -m http.server 8070
This will start a webserver on the port 8070.
- Open web browser and type:
index.html is loaded by default. Instead of
[name].html to view the corresponding page.
Was used for this project.
If you are a user of d3 for visualization, you might already know what a bl.ock is. Apart from Mike Bostock’s bl.ocks, often it is very hard to navigate/find a good examples which you can use and build on top. Since most of the d3 examples are new creative ventures, it is often hard to classify them and hence indexing. These are some websites where you can navigate bl.ocks of users :
View story at Medium.com
Below are some links on Data Visualization focused on using D3.js. These links are compiled from the Data Visualization course on Udacity. Continue reading “Notes on Data Visualization – D3.js”