For the Volkskrant, we are having a look into the RDW datasets that are provided to find interesting insights for a potential article about parking, where it is all about cars.
The assignment is to filter and find connections with different datasets where 'parking' (cars) is the middle word for each of these datasets, one head question can be answered by the datasets. The main goal of this assignment is to link interesting links with each other and to filter data out of the available datasets
This wiki also contains assignments apart from the volkrant, these are practice datasets that were filled in by the students that are following the course: datavizualisation.
Making a geographical map for parking places where you can see how much you need to pay for a certain parking place and how much it cost per hour also I am going to note down how you can pay the parking fee (cash, banknotes, VISA etc)
How can you pay at a specific parking garage (by card, coins, banknotes, visa etc.)
The primary key (PK) in these datasets is : areaid, with this key I am able to find other datasets with this value to join each other
During developing I needed to combine datasets with eachother, during the combining some values were lost and I've decided the keep it that way, beacuse there was no way I was able to use this data because it didn't contained the values that I needed.
Looking for a shareable component template? Go here --> sveltejs/component-template
This is a project template for Svelte apps. It lives at https://github.com/sveltejs/template.
To create a new project based on this template using degit:
npx degit sveltejs/template svelte-app
cd svelte-app
Note that you will need to have Node.js installed.
Install the dependencies...
cd svelte-app
npm install
...then start Rollup:
npm run dev
Navigate to localhost:5000. You should see your app running. Edit a component file in src
, save it, and reload the page to see your changes.
By default, the server will only respond to requests from localhost. To allow connections from other computers, edit the sirv
commands in package.json to include the option --host 0.0.0.0
.
If you're using Visual Studio Code we recommend installing the official extension Svelte for VS Code. If you are using other editors you may need to install a plugin in order to get syntax highlighting and intellisense.
To create an optimised version of the app:
npm run build
You can run the newly built app with npm run start
. This uses sirv, which is included in your package.json's dependencies
so that the app will work when you deploy to platforms like Heroku.
By default, sirv will only respond to requests that match files in public
. This is to maximise compatibility with static fileservers, allowing you to deploy your app anywhere.
If you're building a single-page app (SPA) with multiple routes, sirv needs to be able to respond to requests for any path. You can make it so by editing the "start"
command in package.json:
"start": "sirv public --single"
This template comes with a script to set up a TypeScript development environment, you can run it immediately after cloning the template with:
node scripts/setupTypeScript.js
Or remove the script via:
rm scripts/setupTypeScript.js
Install vercel
if you haven't already:
npm install -g vercel
Then, from within your project folder:
cd public
vercel deploy --name my-project
Install surge
if you haven't already:
npm install -g surge
Then, from within your project folder:
npm run build
surge public my-project.surge.sh
Authtor: RowinRuizendaal
license: MIT
vuurvos1 For the good coding talks in Discord ༼ つ ◕_◕ ༽つ and the helpfull help
sreen020 For working together in Vizhub
Arora, S. (2019, March 27). Understanding Higher-Order Functions in JavaScript - Bits and Pieces. Medium. https://blog.bitsrc.io/understanding-higher-order-functions-in-javascript-75461803bad
Elliott, E. (2019, July 2). Master the JavaScript Interview: What is Functional Programming? Medium. https://medium.com/javascript-scene/master-the-javascript-interview-what-is-functional-programming-7f218c68b3a0
Open Data | | Open Data. (n.d.). RDW. Retrieved October 29, 2020, from https://opendata.rdw.nl/