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📊 Data Visualization 🚀

🎉 Welcome to my Data Visualization adventure! This repository documents my journey through the Data Visualization Certification course, where I learned how to transform raw data into compelling visual storytelling 🎈.

📚 Course Overview

📌 Data Visualization with D3

  • D3, or D3.js, stands for Data Driven Documents. It's a JavaScript library for creating dynamic and interactive data visualizations in the browser.
  • D3 is built to work with common web standards – namely HTML, CSS, and Scalable Vector Graphics (SVG).
  • D3 supports many different kinds of input data formats. Then, using its powerful built-in methods, you can transform those data into different charts, graphs, and maps.

📌 JSON APIs and AJAX

  • APIs (Application Programming Interfaces) are like UIs for programs, enabling them to interact with each other by sending and receiving data.
  • APIs facilitate communication between computers, serving as tools for data exchange.
  • AJAX (Asynchronous JavaScript and XML) is commonly used by programmers to work with APIs.
  • AJAX involves making asynchronous requests to a server to transfer data, then displaying the received data on the page.
  • JSON (JavaScript Object Notation) is a typical format for data transferred between the browser and server in this context.

🎁 Data Visualization Projects

Put your newfound skills to the test with these challenging projects:

  • Bar Chart 📊: Sip of Data Link
  • Scatterplot Graph 📈: Connect the Dots Link
  • Heat Map 🌡️: Data Inferno Link
  • Choropleth Map 🗺️: Cartography Magic Link
  • Treemap Diagram 📊: Descend into Hierarchy Link

🌟 What I Learned

  • Add Document Elements with D3
  • Select a Group of Elements with D3
  • Work with Data in D3
  • Work with Dynamic Data in D3
  • Add Inline Styling to Elements
  • Change Styles Based on Data
  • Add Classes with D3
  • Update the Height of an Element Dynamically
  • Change the Presentation of a Bar Chart
  • Learn About SVG in D3
  • Display Shapes with SVG
  • Create a Bar for Each Data Point in the Set
  • Dynamically Set the Coordinates for Each Bar
  • Dynamically Change the Height of Each Bar
  • Invert SVG Elements
  • Change the Color of an SVG Element
  • Add Labels to D3 Elements
  • Style D3 Labels
  • Add a Hover Effect to a D3 Element
  • Add a Tooltip to a D3 Element
  • Create a Scatterplot with SVG Circles
  • Add Attributes to the Circle Elements
  • Add Labels to Scatter Plot Circles
  • Create a Linear Scale with D3
  • Set a Domain and a Range on a Scale
  • Use the d3.max and d3.min Functions to Find
  • Minimum and Maximum Values in a Dataset
  • Use Dynamic Scales
  • Use a Pre-Defined Scale to Place Elements
  • Add Axes to a Visualization
  • Handle Click Events with JavaScript using the onclick property
  • Change Text with click Events
  • Get JSON with the JavaScript XMLHttpRequest Method
  • Get JSON with the JavaScript fetch method
  • Access the JSON Data from an API
  • Convert JSON Data to HTML
  • Render Images from Data Sources
  • Pre filter JSON to Get the Data You Need
  • Get Geolocation Data to Find A User's GPS Coordinates
  • Post Data with the JavaScript XMLHttpRequest Method

🎯 Certificate :

🌐 Let's Connect

Explore the magic of data visualization with me! Feel free to reach out, collaborate, and embark on new adventures in the realm of data.

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