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How to create two related web pages with infographics?
Good afternoon, ~~Habr~~ Toaster!
The task was to make a page with infographics to display the results of the tournament. The tournament is dynamic, each game takes literally 3 minutes, and during this time the process of scoring should be displayed on the screen. The plans are to raise a web server, which will have 3 interconnected pages, one beautiful for the audience, displays the results of the game on a large screen; the second one is for player registration and the third one is for the operator, who presses four buttons in the web form, winding up points and transferring these clicks to the main rendering page.
Actually, in web development, I'm at the level - to raise a primitive web server for the microcontroller and make up the main.html page. I didn’t have any experience with desktops, I haven’t learned JS yet, but I think I’ll master it at the level of this task, the deadline is 2 weeks.
I ask you to suggest the minimum set of tools for creating such a solution. I'm not chasing modern bells and whistles, css effects and other spectacles that may be slippery. Development speed is important in order to understand how to install newfangled front-end frameworks, package managers and other richly presented front-end 2017 cuisine to a minimum. Pictures with graphs can be primitive flat on a brown background, this is not as critical as simplicity and speed of development. Synthetics would also like less, so that when implementing the project, at least superficially understand the mechanism of the front end). Ready to spend time learning ajax, js at the right level for the task, and so on. Also advise what is the best web server for desktop and database to use?
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Look towards NodeJS.
Here everything is explained in a rather simple way: https://learn.javascript.ru/screencast/nodejs you can take the basis you need.
Then, as you study, take an example with a chat and make interaction based on it - there the client receives the message, you will receive statistics data.
If there are no large loads, then you can not bother much with the database - take MySQL, for example.
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