Tech Track is an elective track of the following 3 courses
Functional Programming
|
Frontend Data
|
Frontend Applications
given during Project Information Design @CMDA⤴︎
@CMDA-TT⤴︎
⦿ Features
⦿ Example
⦿ Installation
⦿ API
⦿ Assignment
⦿ Functional Programming
⦿ Frontend Data
⦿ Frontend Applications
⦿ Rubric
⦿ Resources
⦿ Credits
A visualisation about which city you can park best on a special day.
- Op welke speciale dag kun je het beste in de stad parkeren?
- Get, Filter, Clean & transform dataset from Survey Exercise.
- Get external data from API.
- Clean external API data that i need.
- Transform the data thats clean.
- Use D3 to Create Visualisation from clean data.
First, clone the repo to your local machine.
$ git clone https://github.com/GiovanniDw/frontend-data.git
Then $ cd/
into the project folder.
$ npm install
Now run the project!
$ npm run dev
Most of the data that will be used, comes from the opendata.rdw.nl⤴︎ API.
API-endpoint:
https://opendata.rdw.nl/resource/ixf8-gtwq.json
Create a data visualisation with d3 based on given data.
During this course the code in this repo will use functional patterns to get, filter, clean & transform datasets from external sources about parking. And visualise that data. For more details about te concept and the data go to the Wiki⤴︎
Functional Programming
During this course I will
⦿ Apply functional programming patterns to clean & transform data.
⦿ Develop a concept for The Volkskrant based on external datasets
⦿ Create interactive visualizations with data by using D3
Frontend Data
Frontend Applications
- Teachers from the Tech Track @CMD ⤴︎