vkanotra

@vkanotra·10 public vizzes

Religions of Largest 20 Countries

This interactive stacked bar chart displays the estimated 2010 religious composition of the world’s 20 most populous countries, with each bar segmented by religion and scaled by population. Hovering over a segment reveals a tooltip with the exact count, while hovering over the legend highlights that religion across all bars. Built with D3.js, the visualization uses `d3.layout.stack` for the stacked layout, `d3.svg.axis` for axes, and `d3.legend.color` for the interactive legend, with data sourced from Pew Research.

Aug 21, 2019

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Area chart - Population

This area chart visualizes world population over time from a CSV dataset, using a smooth curved path to show population growth from 1960 to 2015. The chart renders as an SVG, with a blue filled area beneath the line and labeled axes for year and population. The code uses d3.csv, d3.scaleTime, d3.scaleLinear, d3.area with a curveBasis generator, and d3.axisBottom and d3.axisLeft to construct the visualization.

Aug 21, 2019

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Hello VizHub

A horizontal bar chart displays population estimates for twelve countries, including China, India, and the United States. Using the D3.js library (v5), the bar lengths correspond to population values, with a linear x-scale and a banded y-scale for country names. Axis ticks are formatted to abbreviate numbers, and grid lines extend across the chart. The SVG rendering pulls its data from a local CSV file, and the visualization is updated dynamically via the `d3.csv` promise chain.

Aug 21, 2019

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General Update Pattern

This example demonstrates the general update pattern in D3.js, showing how data joins handle enter, update, and exit selections. A row of apples is drawn as SVG circles with labels, then undergoes timed changes: removing the last fruit, replacing an apple with a lemon, and filtering out an item. The `fruitBowl.js` module uses `scaleOrdinal` for color and radius, while `index.js` orchestrates state changes with `setTimeout`. Each render call invokes `selection.selectAll` and `.data()`, applying enter/merge/exit operations for both circles and text elements.

Aug 14, 2019

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General Update Pattern

This example demonstrates the general update pattern in D3.js by animating a sequence of fruit circles in an SVG bowl. It shows how elements are added, modified, and removed over time—an apple disappears, one apple turns into a lemon, and another apple is deleted. The visualization uses the D3.js `select`, `selectAll`, and `transition` APIs to handle entering, updating, and exiting circles, with `scaleOrdinal` mapping fruit types to colors and radii. A timer-driven script triggers changes to the array of fruit objects, which the `fruitBowl` function renders with a one-second transition animation.

Aug 14, 2019

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General Update Pattern

This example demonstrates D3.js’s general update pattern for binding data to SVG circles, rendering a row of apples that changes over time. It shows how entering, updating, and exiting elements are handled by merging selections and calling `selection.exit().remove()`. The code uses `d3.scaleOrdinal` for color and radius mappings, and `d3.range` to generate initial fruit data. After one second, an apple is removed; after two, one apple changes to a lemon. The visualization relies on SVG circles and explicit `attr` updates without transitions.

Aug 13, 2019

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Area chart - Population

This area chart visualizes world population trends over time, with the y-axis showing population in billions and the x-axis representing years. The data comes from a CSV file loaded via d3.csv, with each year parsed as a Date object and population as a number. The chart uses d3.scaleTime and d3.scaleLinear for axes, d3.area with a curveBasis curve to generate the filled path, and d3.axisLeft and d3.axisBottom for gridlines and tick labels. SVG is the rendering approach, with styling applied through CSS classes.

Aug 9, 2019

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Line chart

This line chart displays temperature over time for San Francisco, using a smooth area curve to emphasize the trend. The x-axis maps timestamps via `scaleTime`, while the y-axis uses `scaleLinear` for temperature values. Rendered as SVG with D3 v5, the chart includes gridlines from `axisBottom` and `axisLeft`, and the area path is generated with the `area` function and `d3.curveBasis`. Data is loaded from a CSV file using `csv`.

Aug 9, 2019

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Hello VizHub

A minimal demonstration of VizHub's integration with D3.js and ES6 modules. The example renders the text "Hello VizHub!" onto a web page, using D3's `select` method to target a `div` element and set its content from an imported `message` constant. The accompanying CSS applies a custom Ubuntu font and a dark blue background, while the HTML loads D3 v5 from a CDN and references the bundled JavaScript.

Aug 7, 2019

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Hello VizHub

This example displays a horizontal bar chart ranking countries by population, with bars rendered as SVG rectangles and axes labeled using d3.axisBottom and d3.axisLeft. The data is loaded from a CSV file via d3.csv, and populations are formatted with d3.format to convert raw numbers into abbreviated strings like “B” for billions. The chart uses d3.scaleLinear for the x-axis and d3.scaleBand for the y-axis, with margins and tick marks styled via CSS. It demonstrates VizHub’s workflow of combining D3 v5 with ES6 modules.

Aug 6, 2019