Using an 'if' statement in v7

100%

Using an 'if' statement in v7

✓ Published0🌍 Public

Last edited Jun 19, 2021

Created on Jun 19, 2021

This example shows a line graph of stock closing prices over time, with data points color-coded based on their value. The visualization uses SVG rendering and the d3.v7 library, specifically `d3.line`, `d3.scaleTime`, `d3.scaleLinear`, and `d3.axisBottom`/`d3.axisLeft`. It reads CSV data from `data.csv` via `d3.csv` and parses dates with `d3.timeParse`. Each data point is drawn as a circle whose fill color is determined by an `if` statement: values at or below 400 appear red, while higher values are black.

AI-generated description

This is a simple graph demonstrating the addition of filtering using an if statement with a graph.

This graph is part of the code samples for the update to the book D3 Tips and Tricks to version 7 of d3.js.

mit Licensed

Similar vizzes

Loading thumbnail…

Using an 'if' statement in v6

This example combines a line chart and scatterplot to show stock closing prices over time, with circles colored red when the price is 400 or below and black otherwise. It uses d3.line to generate the line path, d3.scaleTime and d3.scaleLinear for the axes, and d3.axisBottom and d3.axisLeft to render them. Data is loaded from a CSV file via d3.csv and parsed with d3.timeParse. The coloring logic relies on an if statement inside the fill function.

Dd3noob

89% match

Loading thumbnail…

Using an 'if' statement in v4

This example shows a line chart of stock closing prices over time, with points colored conditionally based on their value. The visualization combines a steelblue line path with circles that are red when the closing price is 400 or below and black otherwise. It uses d3.csv to load the data, d3.timeParse for date parsing, and d3.scaleTime and d3.scaleLinear for axes. The if statement inside the circle fill function demonstrates how to apply category-based styling within a d3.v4 data join.

Dd3noob

87% match

Loading thumbnail…

Using an 'if' statement in v5

This example shows a time-series line chart of stock closing prices over a month, with an overlaid scatterplot of individual data points. The points are colored conditionally: red when the closing price is less than or equal to 400, and black otherwise. Built with d3.js v5 and rendered as SVG, it uses `d3.line`, `d3.scaleTime`, `d3.scaleLinear`, and `d3.axisBottom`/`d3.axisLeft`. Data is loaded from a CSV file and parsed with `d3.timeParse`. A simple inline `if` statement within the fill function demonstrates filtering logic for visual encoding.

Dd3noob

86% match

Loading thumbnail…

Line graph with gradient in v7

This example shows a line graph of stock closing prices over time, with the line colored by a vertical gradient that shifts from red to black to green based on price thresholds. The gradient is defined using an SVG `linearGradient` with multiple `stop` elements applied to the line’s stroke via `url(#line-gradient)`. The chart is built with D3 v7, using `d3.timeParse` for date formatting, `d3.scaleTime` and `d3.scaleLinear` for axes, and `d3.line` for the path geometry. Data is loaded from a CSV file with `d3.csv`, and the SVG output includes axis elements generated by `d3.axisBottom` and `d3.axisLeft`.

Dd3noob

82% match

Loading thumbnail…

if selection in d3.js

This example demonstrates how to use an `if` statement within a D3.js data visualization to conditionally style elements. A scatterplot line graph displays stock closing prices over time from a CSV file, with each data point colored either red or black based on whether its value is below or above 400. The code uses the D3.js library to parse dates, create a time-scaled x-axis, apply a linear y-axis, and render both a line path and circular points via SVG.

Dd3noob

82% match

Loading thumbnail…

Filtering in v7

This example shows a time-series line chart of stock closing prices, with red circles highlighting all data points below 400. It uses d3.csv to load date and close values from a local CSV file, then renders an SVG line via d3.line and an x-axis with d3.scaleTime. The scatterplot dots are added with d3.selectAll and enter, but d3’s selection.filter method restricts them to values under the threshold, demonstrating filter chaining before setting circle attributes.

Dd3noob

80% match

Loading thumbnail…

Simple graph with filled area in v7

This example shows a time-series line graph of stock closing prices, with the area beneath the line filled in light blue to emphasize the trend. The chart uses an SVG rendered with D3 v7, and reads its data from a local CSV file. It defines an `d3.area` generator for the filled region and an `d3.line` generator for the stroke, both mapping dates to an `d3.scaleTime` x-axis and values to an `d3.scaleLinear` y-axis. The axes are drawn with `d3.axisBottom` and `d3.axisLeft`.

Dd3noob

80% match

Loading thumbnail…

Line graph with gradient in v4

This example shows a line graph of stock closing prices over time, with the line colored by a vertical gradient that shifts from red to black to green based on price levels. The visualization uses d3.v4 to load CSV data, parse dates with `d3.timeParse`, and render an SVG path via `d3.line`. A `linearGradient` with multiple stop points is applied to the line’s stroke, and axes are added using `d3.axisBottom` and `d3.axisLeft`. The data is drawn from `data.csv` containing date and close values.

Dd3noob

79% match