jellebootsma / 2ioa0-23 Goto Github PK
View Code? Open in Web Editor NEWVisualisation of csv data using python, bokeh and django
Visualisation of csv data using python, bokeh and django
Hello! We are group 23, and this is our prototype for a data visualization website. Please use Chrome to run our code as it does not do well with other browsers. To start our webstise you need to open Command Prompt and navigate to the project's directory, where the requirements.txt file is located. There run the command: pip install -r requirements.txt (you do need to have pip installed for this to work) This installs all the requirements you need to run our website. This website can be ran by going to the folder directory where manage.py is located, (sampledata_vis) you can open the virtual environment by entering: Scripts\activate Then you can run the project by: python manage.py runserver We have three visualizations implemented on the website: 1. Force directed diagram 2. Radial node link diagram 3. Adjacency matrix These visualizations can be found through selecting the links to these visualizations on either the navigation bar called visualizations, or by clicking on start, choosing a dataset and clicking on the desired diagram in step 3. It is also possible to upload your own files. Note that the Radial node link diagram works best with the Author similarity dataset. The visualizations might take some time, we are still working on runtime improvements. The Force directed diagram works well, takes some time to load and has zooming in options integrated in the bar on the side. The Radial node link diagram, there you can choose using the table above the graph which node you want to focus one and then you can click on the other nodes in the graph to see that path/paths between the target node and the selected node. The Adjacency matrix has 5 different reorderings. These are Adjacency Matrix, Alphabetical Adjacency, Distance Matrix, Increasing Distance, Decreasing Distance.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. ๐๐๐
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.