Using an 'if' statement in v5

100%

Using an 'if' statement in v5

✓ Published0🌍 Public

Last edited Nov 28, 2019

Created on Nov 28, 2019

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.

AI-generated description

This is a simple graph demonstrating the addition of filtering using an if statement with a graph. This was written using d3.js v5 and is a follow on to the simple scatter plot example here.

This graph is part of the code samples for the update to the book D3 Tips and Tricks to version 5 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

90% 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

88% match

Loading thumbnail…

Using an 'if' statement in v7

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.

Dd3noob

86% 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

86% match

Loading thumbnail…

Scatterplot with v5

This example shows a time-series line graph of stock closing prices, with circular scatterplot points overlaid on each data value. The visualization uses a steelblue line and dark circles to highlight individual daily observations across the date range. Built with d3 v5 and rendered as SVG, the code employs `d3.csv` to load the data, `d3.timeParse` for date formatting, and `d3.line` for the path, while `d3.scaleTime` and `d3.scaleLinear` handle the axes. The scatterplot points are appended as SVG circles positioned via the same x and y scales.

Dd3noob

81% match

Loading thumbnail…

Filtering in d3.js

This example shows a time-series line chart of stock closing prices, with a scatterplot overlay. A filter selects only data points with a closing value below 400, rendering those specific circles in red. The chart is rendered as an SVG using d3.js, employing the d3.time.scale and d3.scale.linear for axes, and the .filter() method on the circle’s enter selection to conditionally style points. The data comes from a CSV file with date and close columns.

Dd3noob

80% match

Loading thumbnail…

Filtering in v4

This example demonstrates filtering in d3.js v4 by showing a line chart of stock closing prices over time, with red dots highlighting only the data points where the closing price falls below 400. The visualization pairs a steelblue line with scatterplot circles, using the `filter` method on the circle selection to exclude points above the threshold. It loads data from a CSV file, parses dates with `d3.timeParse`, and renders both an SVG line and axis through `d3.axisBottom` and `d3.axisLeft`. The code relies on d3.v4’s scale functions (`d3.scaleTime`, `d3.scaleLinear`) and the `d3.line` generator.

Dd3noob

80% 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

78% match