Gain insights into creating interactive web data visualizations with D3.js. Learn about SVGs, selections, advanced scatter plots, scales, animations, and interactivity to transform data into meaningful insights.

In this course, you will learn to create your own interactive data visualizations for the web with D3.js, a very popular JavaScript library. 

Starting with the fundamentals, you'll learn about SVG, selections, classes, and styles, as well as displaying data. This will give you the base to start working with more advanced concepts. 

Once you’ve got the basics out of the way, you will start practicing drawing various scatter plots, where you’ll learn all the best practices for creating stunning visualizations.

Lastly, you will dive into scales and one of the more fun parts: adding animation and interactivity.

By the time you finish this course, you will have a powerful new library to add to your resume, and you’ll be able to transform data into meaningful insights.

Master D3.js for Data Visualization

We are going to look at how to refine our scales. We can change the behavior of a scale by chaining additional functions. Let’s explore what else we can do with scales. 

# The `nice()` function

The first function we will explore is called `nice()`. There are times where our dataset can contain decimal values. We would not always be dealing with whole numbers. Depending on the type of chart we are drawing, it may not be essential to scale a decimal value. We can tell our scale function to round the domain values. That’s what the `nice()` function does. 

We are going to chain the `nice()` function on the `yScale` function.

const yScale = d3.scaleLinear()
  .domain(d3.extent(dataset, yAccessor))
  .range([0, dimensions.ctrHeight])
  .nice()

The `yScale` function is responsible for transforming the temperature. If the temperature has a decimal value, we will round it to the nearest whole number. We will not apply the `nice()` function to the `xScale` function because the humidity is measured from 0 to 1. It will always contain a decimal value. If we were to apply the `nice()` function to the `xScale`, we would get inaccurate scaling.

# The `rangeRound()` function

The next function we will look at is the `rangeRound()` function. The `rangeRound()` function will round the output range values. We can replace the `range()` functions in both scales with the `rangeRound()` function.

There are functions for refining the output of a scale. Let's explore what those are.

Overview

SVG Basics

D3 Fundamentals

Drawing a Scatter Plot

Scales

Animations & Interactivity

Even More Charts!

Conclusion

Refining Scales

The `nice()` function

Refining Scales

The nice() function

The `nice()` function