Learn to Build Web Apps using D3JS

Explore data visualization with D3.js, learn its purpose and advantages, and download and set up D3.js while viewing simple examples.

Discover what data visualization is and how visual perception of length, shape, and color helps interpret data, with examples like bar charts, histograms, and networks.

Explore how D3 enables data-driven DOM manipulation to create charts, tables, and graphs in the browser, binding JSON, CSV, and TSV data to HTML, SVG, and CSS visuals.

Download and install d3.js from the official site or a CDN, set up a project folder with an index file, include the script with the charset, and verify no errors.

explore data binding in chapter two by binding various data types to HTML elements and applying dynamic data attributes, while learning element selection and styling with D3.

Learn to select and modify DOM elements with D3, using select and select all, apply text and style, and add, remove, or change elements, classes, and attributes.

Bind data to DOM elements with D3 by mapping an array to list items, updating text and style, and using enter and exit to manage dynamic data.

Learn to bind data to the DOM with D3.js to create a basic chart, using data-driven colors, sizes, and styles.

Explore svga fundamentals and basics, draw shapes and lines with svga, and build a simple bar chart using spg rectangles in this chapter intro.

Explore how svg, the open w3c standard, uses xml-based vector graphics for 2d shapes, text, and interactivity, and how to integrate it with d3 for animated, styled visuals.

Discover how to create and style text, rectangles, circles, ellipses, lines, and paths in SVG, using a canvas, coordinates, transforms such as rotation, and basic attributes.

Create an SVG canvas with D3, set size and gray background, and draw a red rectangle. Add a yellow circle inside and diagonal line with stroke to illustrate SVG attributes.

Learn to build a simple SVG bar chart with D-3 by mapping a data array to rectangles, setting width, height, bar width, and bar offset, and planning for scaling.

Explore how to scale data with d3 by examining input domains and output ranges, and compare linear and ordinal scales as you explore chapter 4.

Explore how D3 scales map an input domain to an output range to fit data, including linear, power, log, and quantize scales, plus quantitative, ordinal, and time scales.

Build a D3 linear y scale with a 0 to max domain and 0 to height range, apply it to bar heights for dynamic charts; introduce x-axis ordinal scaling.

Learn to implement ordinal scales with range bands to map data indices to x positions and create a dynamic domain from data length, using color scales for visuals.

Explore transitions and basic animations in d3js, learn to set up on events for vertical and horizontal axes, define input domain and ranges, and implement tooltips in a bar chart.

Bind click, mouse over, and mouse out events to a D3 chart to show data values and a tooltip, with a div positioned by page x and y coordinates.

Learn D3 transitions and animation, including hover tooltips that fade on mouse out and animated shapes that move, resize, and color with easing.

Learn to create axes and guides for a D3 bar chart by defining vertical and horizontal scales, choosing axis orientation, configuring ticks and guides, and handling margins.

Create a pie chart of video game console sales using D3, with a 400 by 400 canvas and a 200 radius. Render color-filled slices labeled by purchases data.

Build a scatterplot of weight versus height by gender with x and y scales, a color legend, and clear steps for setting up the svga canvas, axes, and plotting data.

Learn to build a scatterplot in d3js by loading an external csv, setting up an svg canvas with height and weight axes, and showing age on hover.

Create and render x and y axes for a d3.js chart by configuring domain bounds, translating axes, rotating y-axis labels, and styling with crisp edges.

Plot data on a d3.js chart by binding data to circles, using x and y scales, and adding tooltips and a legend.

Create a chart legend in D3.js by mapping color to gender, drawing color boxes, and adding labeled text with proper positioning to distinguish female and male data.

Master data visualization with d3 by learning selection and data binding, styling, svg shapes, scales, transitions, axes, and hands-on projects like bar charts, pie charts, scatterplots, and legends.