⭐️TABLE OF CONTENT ⭐️
04:41 Setting Up the Development Environment
11:41 Separation of Concerns
23:35 Primitive Types
26:47 Dynamic Typing
44:22 Types of Functions
📺 The video in this post was made by Programming with Mosh
The origin of the article: https://www.youtube.com/watch?v=W6NZfCO5SIk&list=PLTjRvDozrdlxEIuOBZkMAK5uiqp8rHUax&index=2
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HTML builds the basic structure. This file contains some basic HTML tags like div, h1, title, etc. also we’ve used bootstrap (CDN is already included).
We have used simple HTML tags except
A famous general is thought to have said, “A good sketch is better than a long speech.” That advice may have come from the battlefield, but it’s applicable in lots of other areas — including data science. “Sketching” out our data by visualizing it using ggplot2 in R is more impactful than simply describing the trends we find.
This is why we visualize data. We visualize data because it’s easier to learn from something that we can see rather than read. And thankfully for data analysts and data scientists who use R, there’s a tidyverse package called ggplot2 that makes data visualization a snap!
In this blog post, we’ll learn how to take some data and produce a visualization using R. To work through it, it’s best if you already have an understanding of R programming syntax, but you don’t need to be an expert or have any prior experience working with ggplot2
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