The following exercise will give you a rudimentary understanding of analysing and visualizing data using Python. Steps you need to complete will be ==highlighted== but please follow along closely to the entire document. This is Part 1 and will continue next week. Data The data set we'll be working with if from the Cleveland database on heart disease. Spend some time exploring the history and documentation on the database prior to continuing to our download instructions. ==We've done some initial formatting to reduce the number of attributes from 76 to 14 and made it available to download from Kaggle.== Navigate there first, download the data and then proceed with the instructiuons. Step 1: Search for Features Features are different parts of the data. During this step, you'll want to start finding out what you can about the data.

Welcome back! Now that we've been through some of the fundamentals of python data anyalytics and visualization with pandas, matplotlib, and seaborn, we can dive deeper into the libraries and find out more. Review from last week First, there are two cheat sheets that will prove useful this week. Check them out as well before proceeding. Matplotlib Cheatsheet Pandas Cheatsheet Then, complete the following actions (review last week's tutorial if you need assistance)

Basic structure of CSS What is CSS and how does it work? First off, a definition: CSS stands for Cascading Style Sheet. In web development, it's part of what we can consider the main three along with HTML and Javascript. Essentially, HTML is the content, Javascript is the behavior, and CSS is the appearance. Everything becomes encapsulated in the HTML of a web page through linking together the elements for the browser to read. Thus, it becomes important that the CSS references specific elements (or groups of elements) within the HTML to target with stylistic changes. Take the below snippet of HTML:

:::info This tutorial is meant to provide a baseline of knowledge needed to really start adapting and creating interactive stories in Twine. It is not, however, a thorough dive into everything the software is capable of doing. For that, we recommend diving into the Twine Documentation. ::: The Twine Interface Twine is a free software designed to make creating branching scenarios easy to create and distribute. They do this by taking care of the vast majority of the coding for their users and providing the output of an HTML document. This can then be shared and opened in any modern web browser. Let's start by taking a look at the Twine interface. As it's a free software, you are able to download the desktop version if you would like, but we'll be using the browser version in this tutorial. To access it, click "Use it online".

Table of Contents Introduction Preparation Part 1: Examining a single variable Introduction As an informaticist, it is quite likely that someone is going to hand you a dataset and ask you to make sense of it. These last two weeks we are going to mimic this scenario. You will download a 100-row dataset having 26 variables which was extracted from the Framingham Heart Study project. The Framingham Heart Study is a multigenerational study, initially about heart disease. You can read more about the study at the Framingham Heart Study Website. Before running any analyses, you will want to know something about the dataset overall and the individual variables that make up the dataset. How big is the dataset? What is the range of values for each variable? How are the variables distributed? What kind of data is it? You will use Excel to get the answers to these questions.

The Language of the Internet Just as we communicate using a specific set of language rules, computers (and the internet) use their own set of rules to display and run everything that we do on a daily basis. You're probably familiar with this concept as being "coding" and that there are many different languages you can code with. The language of the internet has 3 parts that work in tandem: HTML, CSS, and Javascript. :::info Some Definitions HTML = "Hypertext Markup Language" CSS = "Cascading Stylesheet" :::