D3 in Action Chapter 5 - Example 9

D3 in Action Chapter 5 - Example 10

This example visualizes box office data for six movies over ten days as a stacked bar chart. It uses D3.js version 3.5.5 with the `d3.layout.stack()` API to compute cumulative values from CSV data, and `d3.scale.linear()` for x, y, and height scaling. The chart renders as SVG with axis lines generated by `d3.svg.axis()`, where rectangular bars are colored using `d3.scale.category10` and positioned via the stacked layout's `y0` offsets.

D3 in Action Chapter 5 - Example 10

This example demonstrates a stacked bar chart built with D3.js version 3.5.5, using the `d3.layout.stack()` API to layer six movie data series across 142 days. The visualization shows stacked rectangles representing daily values for each movie, with color encoding via `d3.scale.category10`. The chart includes custom axes rendered as SVG lines, with a numeric x-axis and y-axis displaying tick marks and gridlines. Data is loaded from an external CSV file (movies.csv) and rendered as SVG elements within a 500x500 pixel container. The code applies linear scales for positioning and height mapping, with bars drawn using SVG `rect` elements.

D3 in Action Chapter 5 - Example 10

This example demonstrates a stacked bar chart using the D3.js library, visualizing the daily values of six movies over a 144-day period. The visualization uses the `d3.layout.stack()` API to compute the cumulative y-offsets for each data series, creating the stacked effect. The chart is rendered as an SVG with axes generated by `d3.svg.axis()`, using a linear scale for both x and y dimensions, and a discrete color scale for the movie categories. The data is loaded from a CSV file, and the chart displays stacked rectangular bars with a grid-like axis background.

D3 in Action Chapter 5 - Example 10

This example shows a stacked bar chart representing six movies’ daily ratings over a 140-day period. The chart uses the `d3.layout.stack()` API to compute stacked values for each movie, then renders them as colored rectangles within an SVG. Data is loaded from a CSV file via `d3.csv`, and axes are drawn using `d3.svg.axis()` with linear scales. The visualization uses a categorical color scale (`d3.scale.category10`) to distinguish each movie.

D3 in Action Chapter 5 - Example 10

This example demonstrates a stacked bar chart built with D3.js (version 3.5.5), visualizing daily ratings for six movies over 140 days. The visualization uses `d3.layout.stack()` to compute the stacking offsets for each movie’s values, then renders the bars as SVG `<rect>` elements. Axes are generated with `d3.svg.axis()`, including gridlines, while categorical colors are assigned via `d3.scale.category10()`. The chart loads data from an external CSV file (`movies.csv`), which contains integer ratings for each movie per day, and maps those values to vertical bar heights and horizontal positions.

84% match

D3 Starter - Pluralsight 03

A horizontal bar chart displays total movie revenue by genre for films released between 2000 and 2009, using data loaded from a CSV via d3.csv. The chart computes revenue sums with d3.rollup and sorts genres in descending order. It renders SVG rectangles scaled with d3.scaleLinear and d3.scaleBand, and adds axes using d3.axisTop and d3.axisLeft with custom tick formatting via d3.format.

Mmaxthamt

76% match

D3 Starter Updating scatter plot

This example demonstrates how to build an updating scatter plot with D3 v5, visualizing the budget and revenue of the top 100 films by budget from 2000–2009. The plot uses `d3.csv` to load movie data, `d3.scaleLinear` for axes, and `d3.axisBottom` and `d3.axisLeft` for ticks, with circles representing each film. Axes include formatted tick labels and dashed gridlines. Hovering over a point changes its fill to red, though no tooltip is implemented. The visualization is rendered as SVG within a container, styled via an external CSS file.

Mmaxthamt

76% match